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null, + "reason": "PRs in cluster-12351-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-1236-2", + "canonical_pr_number": 1236, + "duplicate_pr_numbers": [ + 1457 + ], + "target_issue_number": null, + "reason": "PRs in cluster-1236-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-12441-3", + "canonical_pr_number": 12526, + "duplicate_pr_numbers": [ + 12442 + ], + "target_issue_number": 12441, + "reason": "PRs in cluster-12441-3 are treated as duplicates because they converge on issue #12441 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-12458-3", + "canonical_pr_number": 12698, + "duplicate_pr_numbers": [ + 12467 + ], + "target_issue_number": 12458, + "reason": "PRs in cluster-12458-3 are treated as duplicates because they converge on issue #12458 with closing_reference evidence." + }, + { + "cluster_id": "cluster-1246-21", + "canonical_pr_number": 6566, + "duplicate_pr_numbers": [ + 10783, + 10889, + 13273 + ], + "target_issue_number": 13124, + "reason": "PRs in cluster-1246-21 are treated as duplicates because they converge on issue #13124 with closing_reference, duplicate_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-1256-2", + "canonical_pr_number": 1258, + "duplicate_pr_numbers": [ + 1256 + ], + "target_issue_number": null, + "reason": "PRs in cluster-1256-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-1257-4", + "canonical_pr_number": 1361, + "duplicate_pr_numbers": [ + 3000 + ], + "target_issue_number": 1257, + "reason": "PRs in cluster-1257-4 are treated as duplicates because they converge on issue #1257 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-12617-2", + "canonical_pr_number": 12617, + "duplicate_pr_numbers": [ + 12671 + ], + "target_issue_number": null, + "reason": "PRs in cluster-12617-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-12622-21", + "canonical_pr_number": 12622, + "duplicate_pr_numbers": [ + 12651, + 12654, + 12676, + 12678, + 12710, + 12726, + 12766, + 12767, + 12796, + 12798, + 12871, + 12928, + 12931, + 12936, + 12992, + 13010, + 13020, + 13023, + 13024, + 13027 + ], + "target_issue_number": null, + "reason": "PRs in cluster-12622-21 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-12754-3", + "canonical_pr_number": 12762, + "duplicate_pr_numbers": [ + 13103 + ], + "target_issue_number": 12754, + "reason": "PRs in cluster-12754-3 are treated as duplicates because they converge on issue #12754 with closing_reference, shared_issue_target evidence." + }, + { + "cluster_id": "cluster-12771-4", + "canonical_pr_number": 12788, + "duplicate_pr_numbers": [ + 13239, + 13240 + ], + "target_issue_number": 12771, + "reason": "PRs in cluster-12771-4 are treated as duplicates because they converge on issue #12771 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-12869-2", + "canonical_pr_number": 12870, + "duplicate_pr_numbers": [ + 12869 + ], + "target_issue_number": null, + "reason": "PRs in cluster-12869-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-12905-3", + "canonical_pr_number": 13183, + "duplicate_pr_numbers": [ + 13094 + ], + "target_issue_number": 12905, + "reason": "PRs in cluster-12905-3 are treated as duplicates because they converge on issue #12905 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-13069-2", + "canonical_pr_number": 13071, + "duplicate_pr_numbers": [ + 13069 + ], + "target_issue_number": null, + "reason": "PRs in cluster-13069-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-13074-3", + "canonical_pr_number": 13075, + "duplicate_pr_numbers": [ + 13093 + ], + "target_issue_number": 13074, + "reason": "PRs in cluster-13074-3 are treated as duplicates because they converge on issue #13074 with closing_reference, shared_issue_target evidence." + }, + { + "cluster_id": "cluster-13077-4", + "canonical_pr_number": 13136, + "duplicate_pr_numbers": [ + 13102, + 13128 + ], + "target_issue_number": 13077, + "reason": "PRs in cluster-13077-4 are treated as duplicates because they converge on issue #13077 with closing_reference evidence." + }, + { + "cluster_id": "cluster-13118-2", + "canonical_pr_number": 13189, + "duplicate_pr_numbers": [ + 13118 + ], + "target_issue_number": null, + "reason": "PRs in cluster-13118-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-1312-2", + "canonical_pr_number": 2602, + "duplicate_pr_numbers": [ + 1312 + ], + "target_issue_number": null, + "reason": "PRs in cluster-1312-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-13137-6", + "canonical_pr_number": 13169, + "duplicate_pr_numbers": [ + 13326 + ], + "target_issue_number": 13261, + "reason": "PRs in cluster-13137-6 are treated as duplicates because they converge on issue #13261 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-13255-2", + "canonical_pr_number": 13255, + "duplicate_pr_numbers": [ + 13313 + ], + "target_issue_number": null, + "reason": "PRs in cluster-13255-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-13292-3", + "canonical_pr_number": 13415, + "duplicate_pr_numbers": [ + 13307 + ], + "target_issue_number": 13292, + "reason": "PRs in cluster-13292-3 are treated as duplicates because they converge on issue #13292 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-1334-2", + "canonical_pr_number": 1426, + "duplicate_pr_numbers": [ + 1334 + ], + "target_issue_number": null, + "reason": "PRs in cluster-1334-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-13377-3", + "canonical_pr_number": 13379, + "duplicate_pr_numbers": [ + 13449 + ], + "target_issue_number": 13377, + "reason": "PRs in cluster-13377-3 are treated as duplicates because they converge on issue #13377 with closing_reference evidence." + }, + { + "cluster_id": "cluster-13411-3", + "canonical_pr_number": 13466, + "duplicate_pr_numbers": [ + 13412 + ], + "target_issue_number": 13411, + "reason": "PRs in cluster-13411-3 are treated as duplicates because they converge on issue #13411 with closing_reference, shared_issue_target evidence." + }, + { + "cluster_id": "cluster-13462-3", + "canonical_pr_number": 13471, + "duplicate_pr_numbers": [ + 13468 + ], + "target_issue_number": 13462, + "reason": "PRs in cluster-13462-3 are treated as duplicates because they converge on issue #13462 with closing_reference evidence." + }, + { + "cluster_id": "cluster-13467-2", + "canonical_pr_number": 13497, + "duplicate_pr_numbers": [ + 13467 + ], + "target_issue_number": null, + "reason": "PRs in cluster-13467-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-1466-4", + "canonical_pr_number": 2070, + "duplicate_pr_numbers": [ + 1547 + ], + "target_issue_number": 1466, + "reason": "PRs in cluster-1466-4 are treated as duplicates because they converge on issue #1466 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-1567-2", + "canonical_pr_number": 1618, + "duplicate_pr_numbers": [ + 1567 + ], + "target_issue_number": null, + "reason": "PRs in cluster-1567-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-1711-2", + "canonical_pr_number": 1714, + "duplicate_pr_numbers": [ + 1711 + ], + "target_issue_number": null, + "reason": "PRs in cluster-1711-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-1788-2", + "canonical_pr_number": 2094, + "duplicate_pr_numbers": [ + 1788 + ], + "target_issue_number": null, + "reason": "PRs in cluster-1788-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-1988-10", + "canonical_pr_number": 4796, + "duplicate_pr_numbers": [ + 4632, + 7858 + ], + "target_issue_number": 4619, + "reason": "PRs in cluster-1988-10 are treated as duplicates because they converge on issue #4619 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-2067-3", + "canonical_pr_number": 2147, + "duplicate_pr_numbers": [ + 2067, + 2096 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2067-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2098-6", + "canonical_pr_number": 3197, + "duplicate_pr_numbers": [ + 3201, + 3265 + ], + "target_issue_number": 3008, + "reason": "PRs in cluster-2098-6 are treated as duplicates because they converge on issue #3008 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-2125-2", + "canonical_pr_number": 2127, + "duplicate_pr_numbers": [ + 2125 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2125-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2217-2", + "canonical_pr_number": 2259, + "duplicate_pr_numbers": [ + 2217 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2217-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2271-2", + "canonical_pr_number": 2846, + "duplicate_pr_numbers": [ + 2271 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2271-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2383-2", + "canonical_pr_number": 2383, + "duplicate_pr_numbers": [ + 2384 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2383-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2417-2", + "canonical_pr_number": 2418, + "duplicate_pr_numbers": [ + 2417 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2417-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2450-2", + "canonical_pr_number": 2451, + "duplicate_pr_numbers": [ + 2450 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2450-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2541-2", + "canonical_pr_number": 2566, + "duplicate_pr_numbers": [ + 2541 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2541-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2647-3", + "canonical_pr_number": 2684, + "duplicate_pr_numbers": [ + 2647, + 2748 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2647-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2741-2", + "canonical_pr_number": 2751, + "duplicate_pr_numbers": [ + 2741 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2741-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2812-3", + "canonical_pr_number": 2815, + "duplicate_pr_numbers": [ + 2812, + 2813 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2812-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2825-2", + "canonical_pr_number": 2826, + "duplicate_pr_numbers": [ + 2825 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2825-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2842-2", + "canonical_pr_number": 2962, + "duplicate_pr_numbers": [ + 2842 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2842-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3084-2", + "canonical_pr_number": 3459, + "duplicate_pr_numbers": [ + 3084 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3084-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3168-5", + "canonical_pr_number": 3168, + "duplicate_pr_numbers": [ + 3676, + 3687, + 6017, + 6018 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3168-5 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3237-2", + "canonical_pr_number": 3285, + "duplicate_pr_numbers": [ + 3237 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3237-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-326-3", + "canonical_pr_number": 327, + "duplicate_pr_numbers": [ + 326, + 333 + ], + "target_issue_number": null, + "reason": "PRs in cluster-326-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3458-2", + "canonical_pr_number": 3460, + "duplicate_pr_numbers": [ + 3458 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3458-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3470-2", + "canonical_pr_number": 3470, + "duplicate_pr_numbers": [ + 3472 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3470-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3554-2", + "canonical_pr_number": 3555, + "duplicate_pr_numbers": [ + 3554 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3554-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3709-2", + "canonical_pr_number": 3710, + "duplicate_pr_numbers": [ + 3709 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3709-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3744-2", + "canonical_pr_number": 3745, + "duplicate_pr_numbers": [ + 3744 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3744-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3797-2", + "canonical_pr_number": 3797, + "duplicate_pr_numbers": [ + 3957 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3797-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3880-3", + "canonical_pr_number": 4536, + "duplicate_pr_numbers": [ + 3921 + ], + "target_issue_number": 3880, + "reason": "PRs in cluster-3880-3 are treated as duplicates because they converge on issue #3880 with closing_reference evidence." + }, + { + "cluster_id": "cluster-4076-2", + "canonical_pr_number": 4079, + "duplicate_pr_numbers": [ + 4076 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4076-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4131-2", + "canonical_pr_number": 4138, + "duplicate_pr_numbers": [ + 4131 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4131-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4315-2", + "canonical_pr_number": 5298, + "duplicate_pr_numbers": [ + 4315 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4315-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4451-3", + "canonical_pr_number": 4451, + "duplicate_pr_numbers": [ + 5093, + 5220 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4451-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4475-2", + "canonical_pr_number": 4493, + "duplicate_pr_numbers": [ + 4475 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4475-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4485-2", + "canonical_pr_number": 4486, + "duplicate_pr_numbers": [ + 4485 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4485-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4498-5", + "canonical_pr_number": 4502, + "duplicate_pr_numbers": [ + 4498, + 4499, + 4500, + 4501 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4498-5 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4544-2", + "canonical_pr_number": 4590, + "duplicate_pr_numbers": [ + 4544 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4544-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4553-3", + "canonical_pr_number": 4558, + "duplicate_pr_numbers": [ + 4603 + ], + "target_issue_number": 4553, + "reason": "PRs in cluster-4553-3 are treated as duplicates because they converge on issue #4553 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-4595-2", + "canonical_pr_number": 4596, + "duplicate_pr_numbers": [ + 4595 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4595-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4629-3", + "canonical_pr_number": 4661, + "duplicate_pr_numbers": [ + 4629, + 4659 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4629-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4655-2", + "canonical_pr_number": 5747, + "duplicate_pr_numbers": [ + 4655 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4655-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4704-3", + "canonical_pr_number": 4926, + "duplicate_pr_numbers": [ + 4707 + ], + "target_issue_number": 4704, + "reason": "PRs in cluster-4704-3 are treated as duplicates because they converge on issue #4704 with closing_reference evidence." + }, + { + "cluster_id": "cluster-4790-5", + "canonical_pr_number": 12964, + "duplicate_pr_numbers": [ + 11306 + ], + "target_issue_number": 11285, + "reason": "PRs in cluster-4790-5 are treated as duplicates because they converge on issue #11285 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-4810-2", + "canonical_pr_number": 4810, + "duplicate_pr_numbers": [ + 4891 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4810-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4833-2", + "canonical_pr_number": 4833, + "duplicate_pr_numbers": [ + 5003 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4833-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4899-3", + "canonical_pr_number": 5938, + "duplicate_pr_numbers": [ + 4899 + ], + "target_issue_number": 5800, + "reason": "PRs in cluster-4899-3 are treated as duplicates because they converge on issue #5800 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5062-3", + "canonical_pr_number": 5066, + "duplicate_pr_numbers": [ + 5065 + ], + "target_issue_number": 5062, + "reason": "PRs in cluster-5062-3 are treated as duplicates because they converge on issue #5062 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5214-3", + "canonical_pr_number": 5305, + "duplicate_pr_numbers": [ + 5214 + ], + "target_issue_number": 5216, + "reason": "PRs in cluster-5214-3 are treated as duplicates because they converge on issue #5216 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5243-2", + "canonical_pr_number": 5255, + "duplicate_pr_numbers": [ + 5243 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5243-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-5249-4", + "canonical_pr_number": 5293, + "duplicate_pr_numbers": [ + 5299, + 5312 + ], + "target_issue_number": 5249, + "reason": "PRs in cluster-5249-4 are treated as duplicates because they converge on issue #5249 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5262-4", + "canonical_pr_number": 5370, + "duplicate_pr_numbers": [ + 5288, + 5366 + ], + "target_issue_number": 5262, + "reason": "PRs in cluster-5262-4 are treated as duplicates because they converge on issue #5262 with closing_reference evidence." + }, + { + "cluster_id": "cluster-5264-3", + "canonical_pr_number": 5535, + "duplicate_pr_numbers": [ + 5280 + ], + "target_issue_number": 5264, + "reason": "PRs in cluster-5264-3 are treated as duplicates because they converge on issue #5264 with closing_reference, shared_issue_target evidence." + }, + { + "cluster_id": "cluster-5285-3", + "canonical_pr_number": 5478, + "duplicate_pr_numbers": [ + 5286 + ], + "target_issue_number": 5285, + "reason": "PRs in cluster-5285-3 are treated as duplicates because they converge on issue #5285 with closing_reference evidence." + }, + { + "cluster_id": "cluster-5302-3", + "canonical_pr_number": 5304, + "duplicate_pr_numbers": [ + 5303 + ], + "target_issue_number": 5302, + "reason": "PRs in cluster-5302-3 are treated as duplicates because they converge on issue #5302 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5347-2", + "canonical_pr_number": 5349, + "duplicate_pr_numbers": [ + 5347 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5347-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-5420-3", + "canonical_pr_number": 6346, + "duplicate_pr_numbers": [ + 5420 + ], + "target_issue_number": 6351, + "reason": "PRs in cluster-5420-3 are treated as duplicates because they converge on issue #6351 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5504-3", + "canonical_pr_number": 5697, + "duplicate_pr_numbers": [ + 5506 + ], + "target_issue_number": 5504, + "reason": "PRs in cluster-5504-3 are treated as duplicates because they converge on issue #5504 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5524-3", + "canonical_pr_number": 5704, + "duplicate_pr_numbers": [ + 5696 + ], + "target_issue_number": 5524, + "reason": "PRs in cluster-5524-3 are treated as duplicates because they converge on issue #5524 with closing_reference evidence." + }, + { + "cluster_id": "cluster-5725-3", + "canonical_pr_number": 5748, + "duplicate_pr_numbers": [ + 5725, + 5744 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5725-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-5783-4", + "canonical_pr_number": 7599, + "duplicate_pr_numbers": [ + 7048 + ], + "target_issue_number": 5783, + "reason": "PRs in cluster-5783-4 are treated as duplicates because they converge on issue #5783 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5834-2", + "canonical_pr_number": 5834, + "duplicate_pr_numbers": [ + 7934 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5834-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-5878-2", + "canonical_pr_number": 5878, + "duplicate_pr_numbers": [ + 5879 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5878-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-5886-3", + "canonical_pr_number": 5911, + "duplicate_pr_numbers": [ + 5910 + ], + "target_issue_number": 5886, + "reason": "PRs in cluster-5886-3 are treated as duplicates because they converge on issue #5886 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5906-2", + "canonical_pr_number": 5914, + "duplicate_pr_numbers": [ + 5906 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5906-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-5970-2", + "canonical_pr_number": 5971, + "duplicate_pr_numbers": [ + 5970 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5970-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-5986-2", + "canonical_pr_number": 5986, + "duplicate_pr_numbers": [ + 6004 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5986-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6078-2", + "canonical_pr_number": 6078, + "duplicate_pr_numbers": [ + 6081 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6078-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6123-3", + "canonical_pr_number": 6328, + "duplicate_pr_numbers": [ + 6509 + ], + "target_issue_number": 6123, + "reason": "PRs in cluster-6123-3 are treated as duplicates because they converge on issue #6123 with closing_reference evidence." + }, + { + "cluster_id": "cluster-6137-4", + "canonical_pr_number": 8312, + "duplicate_pr_numbers": [ + 6143 + ], + "target_issue_number": 8236, + "reason": "PRs in cluster-6137-4 are treated as duplicates because they converge on issue #8236 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-6158-3", + "canonical_pr_number": 6721, + "duplicate_pr_numbers": [ + 6195 + ], + "target_issue_number": 6158, + "reason": "PRs in cluster-6158-3 are treated as duplicates because they converge on issue #6158 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-6208-2", + "canonical_pr_number": 6208, + "duplicate_pr_numbers": [ + 6241 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6208-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6299-3", + "canonical_pr_number": 6299, + "duplicate_pr_numbers": [ + 6300, + 6301 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6299-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6424-2", + "canonical_pr_number": 6789, + "duplicate_pr_numbers": [ + 6424 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6424-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-643-3", + "canonical_pr_number": 645, + "duplicate_pr_numbers": [ + 643, + 644 + ], + "target_issue_number": null, + "reason": "PRs in cluster-643-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6503-6", + "canonical_pr_number": 6532, + "duplicate_pr_numbers": [ + 6525, + 6534, + 6555, + 6556 + ], + "target_issue_number": 6503, + "reason": "PRs in cluster-6503-6 are treated as duplicates because they converge on issue #6503 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-6514-3", + "canonical_pr_number": 6514, + "duplicate_pr_numbers": [ + 6554, + 6840 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6514-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6545-3", + "canonical_pr_number": 6569, + "duplicate_pr_numbers": [ + 8283 + ], + "target_issue_number": 6545, + "reason": "PRs in cluster-6545-3 are treated as duplicates because they converge on issue #6545 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-6585-11", + "canonical_pr_number": 6737, + "duplicate_pr_numbers": [ + 6672, + 6719, + 6740, + 6765, + 6766, + 6767, + 6768, + 6769, + 6781 + ], + "target_issue_number": 6585, + "reason": "PRs in cluster-6585-11 are treated as duplicates because they converge on issue #6585 with closing_reference, shared_issue_target evidence." + }, + { + "cluster_id": "cluster-6627-2", + "canonical_pr_number": 6849, + "duplicate_pr_numbers": [ + 6627 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6627-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6688-3", + "canonical_pr_number": 7005, + "duplicate_pr_numbers": [ + 6844 + ], + "target_issue_number": 6688, + "reason": "PRs in cluster-6688-3 are treated as duplicates because they converge on issue #6688 with closing_reference evidence." + }, + { + "cluster_id": "cluster-6866-4", + "canonical_pr_number": 6941, + "duplicate_pr_numbers": [ + 7030, + 7031 + ], + "target_issue_number": 6866, + "reason": "PRs in cluster-6866-4 are treated as duplicates because they converge on issue #6866 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-6875-2", + "canonical_pr_number": 6960, + "duplicate_pr_numbers": [ + 6875 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6875-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6891-3", + "canonical_pr_number": 7615, + "duplicate_pr_numbers": [ + 7613 + ], + "target_issue_number": 6891, + "reason": "PRs in cluster-6891-3 are treated as duplicates because they converge on issue #6891 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-6907-4", + "canonical_pr_number": 6909, + "duplicate_pr_numbers": [ + 6907, + 6908, + 6910 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6907-4 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6980-2", + "canonical_pr_number": 6983, + "duplicate_pr_numbers": [ + 6980 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6980-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6984-7", + "canonical_pr_number": 7071, + "duplicate_pr_numbers": [ + 7052, + 7211, + 7307, + 8376, + 8387 + ], + "target_issue_number": 6984, + "reason": "PRs in cluster-6984-7 are treated as duplicates because they converge on issue #6984 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-7038-3", + "canonical_pr_number": 7550, + "duplicate_pr_numbers": [ + 7442 + ], + "target_issue_number": 7038, + "reason": "PRs in cluster-7038-3 are treated as duplicates because they converge on issue #7038 with closing_reference evidence." + }, + { + "cluster_id": "cluster-7233-2", + "canonical_pr_number": 7235, + "duplicate_pr_numbers": [ + 7233 + ], + "target_issue_number": null, + "reason": "PRs in cluster-7233-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-7246-2", + "canonical_pr_number": 7825, + "duplicate_pr_numbers": [ + 7246 + ], + "target_issue_number": null, + "reason": "PRs in cluster-7246-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-754-2", + "canonical_pr_number": 754, + "duplicate_pr_numbers": [ + 869 + ], + "target_issue_number": null, + "reason": "PRs in cluster-754-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-7677-3", + "canonical_pr_number": 7865, + "duplicate_pr_numbers": [ + 7898 + ], + "target_issue_number": 7677, + "reason": "PRs in cluster-7677-3 are treated as duplicates because they converge on issue #7677 with closing_reference evidence." + }, + { + "cluster_id": "cluster-7692-2", + "canonical_pr_number": 7876, + "duplicate_pr_numbers": [ + 7692 + ], + "target_issue_number": null, + "reason": "PRs in cluster-7692-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-7730-3", + "canonical_pr_number": 11156, + "duplicate_pr_numbers": [ + 7742 + ], + "target_issue_number": 7730, + "reason": "PRs in cluster-7730-3 are treated as duplicates because they converge on issue #7730 with closing_reference evidence." + }, + { + "cluster_id": "cluster-7736-3", + "canonical_pr_number": 7761, + "duplicate_pr_numbers": [ + 7739 + ], + "target_issue_number": 7736, + "reason": "PRs in cluster-7736-3 are treated as duplicates because they converge on issue #7736 with closing_reference evidence." + }, + { + "cluster_id": "cluster-8308-2", + "canonical_pr_number": 8310, + "duplicate_pr_numbers": [ + 8308 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8308-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-831-2", + "canonical_pr_number": 831, + "duplicate_pr_numbers": [ + 1490 + ], + "target_issue_number": null, + "reason": "PRs in cluster-831-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8384-4", + "canonical_pr_number": 11239, + "duplicate_pr_numbers": [ + 10973, + 11240 + ], + "target_issue_number": 8384, + "reason": "PRs in cluster-8384-4 are treated as duplicates because they converge on issue #8384 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-8446-5", + "canonical_pr_number": 8461, + "duplicate_pr_numbers": [ + 8446, + 8476, + 9308, + 9316 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8446-5 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8478-2", + "canonical_pr_number": 8478, + "duplicate_pr_numbers": [ + 8479 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8478-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8490-2", + "canonical_pr_number": 8490, + "duplicate_pr_numbers": [ + 8860 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8490-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8710-3", + "canonical_pr_number": 9386, + "duplicate_pr_numbers": [ + 8725 + ], + "target_issue_number": 8710, + "reason": "PRs in cluster-8710-3 are treated as duplicates because they converge on issue #8710 with closing_reference evidence." + }, + { + "cluster_id": "cluster-8773-2", + "canonical_pr_number": 8773, + "duplicate_pr_numbers": [ + 8976 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8773-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8798-2", + "canonical_pr_number": 8798, + "duplicate_pr_numbers": [ + 8913 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8798-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8810-4", + "canonical_pr_number": 8864, + "duplicate_pr_numbers": [ + 8810, + 9917 + ], + "target_issue_number": 9886, + "reason": "PRs in cluster-8810-4 are treated as duplicates because they converge on issue #9886 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-8814-2", + "canonical_pr_number": 8815, + "duplicate_pr_numbers": [ + 8814 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8814-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8816-2", + "canonical_pr_number": 8820, + "duplicate_pr_numbers": [ + 8816 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8816-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8949-2", + "canonical_pr_number": 8949, + "duplicate_pr_numbers": [ + 8980 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8949-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8960-3", + "canonical_pr_number": 8966, + "duplicate_pr_numbers": [ + 8961 + ], + "target_issue_number": 8960, + "reason": "PRs in cluster-8960-3 are treated as duplicates because they converge on issue #8960 with closing_reference, shared_issue_target evidence." + }, + { + "cluster_id": "cluster-8973-2", + "canonical_pr_number": 8985, + "duplicate_pr_numbers": [ + 8973 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8973-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8992-2", + "canonical_pr_number": 9040, + "duplicate_pr_numbers": [ + 8992 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8992-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-9080-2", + "canonical_pr_number": 9082, + "duplicate_pr_numbers": [ + 9080 + ], + "target_issue_number": null, + "reason": "PRs in cluster-9080-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-916-2", + "canonical_pr_number": 1110, + "duplicate_pr_numbers": [ + 916 + ], + "target_issue_number": null, + "reason": "PRs in cluster-916-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-9237-4", + "canonical_pr_number": 9419, + "duplicate_pr_numbers": [ + 9549 + ], + "target_issue_number": 9237, + "reason": "PRs in cluster-9237-4 are treated as duplicates because they converge on issue #9237 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-9403-3", + "canonical_pr_number": 10261, + "duplicate_pr_numbers": [ + 9787 + ], + "target_issue_number": 9403, + "reason": "PRs in cluster-9403-3 are treated as duplicates because they converge on issue #9403 with closing_reference, shared_issue_target evidence." + }, + { + "cluster_id": "cluster-9564-3", + "canonical_pr_number": 9564, + "duplicate_pr_numbers": [ + 9854, + 9855 + ], + "target_issue_number": null, + "reason": "PRs in cluster-9564-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-9567-8", + "canonical_pr_number": 9608, + "duplicate_pr_numbers": [ + 9579, + 9582, + 9583, + 9606, + 9724, + 9815 + ], + "target_issue_number": 9567, + "reason": "PRs in cluster-9567-8 are treated as duplicates because they converge on issue #9567 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-9610-3", + "canonical_pr_number": 9659, + "duplicate_pr_numbers": [ + 9843 + ], + "target_issue_number": 9610, + "reason": "PRs in cluster-9610-3 are treated as duplicates because they converge on issue #9610 with closing_reference evidence." + }, + { + "cluster_id": "cluster-9631-2", + "canonical_pr_number": 9642, + "duplicate_pr_numbers": [ + 9631 + ], + "target_issue_number": null, + "reason": "PRs in cluster-9631-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-9706-4", + "canonical_pr_number": 9715, + "duplicate_pr_numbers": [ + 9706, + 9707, + 9714 + ], + "target_issue_number": null, + "reason": "PRs in cluster-9706-4 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-9772-3", + "canonical_pr_number": 10131, + "duplicate_pr_numbers": [ + 9776 + ], + "target_issue_number": 9772, + "reason": "PRs in cluster-9772-3 are treated as duplicates because they converge on issue #9772 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-9841-3", + "canonical_pr_number": 9879, + "duplicate_pr_numbers": [ + 9842 + ], + "target_issue_number": 9841, + "reason": "PRs in cluster-9841-3 are treated as duplicates because they converge on issue #9841 with closing_reference, shared_issue_target evidence." + } + ], + "best_issue": { + "cluster_id": "cluster-1246-21", + "issue_number": 13124, + "reason": "Issue #13124 is the strongest global issue candidate because it is open, belongs to a cluster with 21 artifacts, and carries 2 discussion comments plus 4 inbound references.", + "score": 318.0 + }, + "best_pr": { + "cluster_id": "cluster-4790-5", + "pr_number": 12964, + "reason": "PR #12964 is the strongest global PR candidate because it is open, belongs to a cluster with 5 artifacts, links to 1 issues, and carries 2 review/discussion events.", + "score": 178.916 + } +} diff --git a/analysis/current/analysis-report-hybrid.llm-reviews.json b/analysis/current/analysis-report-hybrid.llm-reviews.json new file mode 100644 index 0000000000000000000000000000000000000000..aa2383e984a7ae9624bd062c44ee9d378c218f2c --- /dev/null +++ b/analysis/current/analysis-report-hybrid.llm-reviews.json @@ -0,0 +1,208534 @@ +{ + "schema_version": "1.0", + "repo": "huggingface/diffusers", + "snapshot_id": "20260418T163535Z", + "generated_at": "2026-04-18T19:28:04Z", + "model": "gpt-5.4-mini?service_tier=flex", + "reviews": [ + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10035", + "issue:10091", + "issue:10343", + "issue:10804", + "issue:10954", + "issue:11083", + "issue:11169", + "issue:11225", + "issue:11417", + "issue:12044", + "issue:12436", + "issue:12480", + "issue:12481", + "issue:2044", + "issue:2780", + "issue:2819", + "issue:2995", + "issue:3809", + "issue:3954", + "issue:4104", + "issue:4325", + "issue:4557", + "issue:4649", + "issue:4754", + "issue:4868", + "issue:5082", + "issue:5259", + "issue:5295", + "issue:5475", + "issue:5510", + "issue:5805", + "issue:6324", + "issue:6363", + "issue:6517", + "issue:6594", + "issue:6727", + "issue:6812", + "issue:6815", + "issue:6996", + "issue:7330", + "issue:7854", + "issue:8236", + "issue:8759", + "issue:9293", + "issue:9298", + "issue:9546", + "issue:9726", + "issue:9727" + ], + "soft_pairs": [ + "issue:12480|issue:12481", + "issue:5295|issue:5475", + "issue:10035|issue:10091", + "issue:5510|issue:7854", + "issue:3954|issue:8236", + "issue:12436|issue:12480", + "issue:12436|issue:12481", + "issue:6815|issue:8759", + "issue:5805|issue:7854", + "issue:10804|issue:10954", + "issue:4325|issue:8759", + "issue:4754|issue:5259", + "issue:6727|issue:6812", + "issue:4649|issue:6996", + "issue:11083|issue:3809", + "issue:12044|issue:6324", + "issue:10343|issue:6815", + "issue:2995|issue:5082", + "issue:2819|issue:6594", + "issue:9293|issue:9298", + "issue:4557|issue:4868", + "issue:11225|issue:9546", + "issue:9726|issue:9727", + "issue:6363|issue:7330", + "issue:2780|issue:6363", + "issue:4104|issue:6815", + "issue:11169|issue:6517", + "issue:11417|issue:2044" + ], + "prepared_review_unit_hash": "0133da4827865cc18ff504a8d40a95b1bf43e4a1d70288f3555e8f0c674ee8d9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 36481, + "estimated_input_tokens": 9121, + "estimated_eval_tokens": 18498 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The strongest duplicate clusters are the exact-title or near-exact error repeats, especially the CLIPTextModel/offload_state_dict reports. I kept broader symptom matches conservative when the titles point to different model or pipeline contexts and the packet lacks body text or traces to prove a shared root cause.", + "confidence": 0.76, + "canonical_issue_reason": "issue:12480 is the cleanest anchor for the offload_state_dict/CLIPTextModel cluster: it has the most complete wording, and 12481 plus 12436 are very close variants of the same report.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12480 is the best overall issue anchor because it is the clearest, most detailed representative of the strongest duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12480", + "right": "issue:12481", + "accept": true, + "reason": "Near-identical titles and the same CLIPTextModel/offload_state_dict TypeError; same bug." + }, + { + "left": "issue:5295", + "right": "issue:5475", + "accept": true, + "reason": "Same LaVie/LaVIE project title with only capitalization variation; duplicate report." + }, + { + "left": "issue:10035", + "right": "issue:10091", + "accept": true, + "reason": "Exact same CogvideoX VAE decoder memory issue title; duplicate." + }, + { + "left": "issue:5510", + "right": "issue:7854", + "accept": false, + "reason": "Both mention dtype mismatches, but the pipeline/context differs and the packet does not show one concrete shared code path." + }, + { + "left": "issue:3954", + "right": "issue:8236", + "accept": false, + "reason": "Same broad scheduler step-count symptom, but not enough shared evidence here to confirm the same underlying bug." + }, + { + "left": "issue:12436", + "right": "issue:12480", + "accept": true, + "reason": "Same offload_state_dict / CLIPTextModel TypeError family; clearly overlapping reports." + }, + { + "left": "issue:12436", + "right": "issue:12481", + "accept": true, + "reason": "Same offload_state_dict / CLIPTextModel TypeError family; duplicate variant." + }, + { + "left": "issue:6815", + "right": "issue:8759", + "accept": false, + "reason": "Both are black-image / invalid-cast symptom reports, but the model context differs and the packet does not prove the same root cause." + }, + { + "left": "issue:5805", + "right": "issue:7854", + "accept": false, + "reason": "Related dtype mismatch wording, but the specific failing path and context differ too much to merge them confidently." + }, + { + "left": "issue:10804", + "right": "issue:10954", + "accept": true, + "reason": "Same FLUX1.dev LoRA load-failure report, just reworded." + }, + { + "left": "issue:4325", + "right": "issue:8759", + "accept": false, + "reason": "The error text is similar, but this is still only a broad black-image symptom match across different model contexts." + }, + { + "left": "issue:4754", + "right": "issue:5259", + "accept": true, + "reason": "Same missing model_index.json / textual inversion loading error; duplicate." + }, + { + "left": "issue:6727", + "right": "issue:6812", + "accept": true, + "reason": "Same Query/Key/Value dtype mismatch during LoRA training; same bug family." + }, + { + "left": "issue:4649", + "right": "issue:6996", + "accept": true, + "reason": "Same NoneType / added_cond_kwargs text_embeds error; duplicate." + }, + { + "left": "issue:11083", + "right": "issue:3809", + "accept": true, + "reason": "Same torch-DDP stride mismatch warning; near-exact duplicate wording." + }, + { + "left": "issue:12044", + "right": "issue:6324", + "accept": true, + "reason": "Exact same AttributeError about bool.__module__; duplicate." + }, + { + "left": "issue:10343", + "right": "issue:6815", + "accept": false, + "reason": "Both mention black output / invalid-cast symptoms, but they are model-specific reports and not clearly the same bug." + }, + { + "left": "issue:2995", + "right": "issue:5082", + "accept": true, + "reason": "Same mat1/mat2 shape-mismatch error; duplicate." + }, + { + "left": "issue:2819", + "right": "issue:6594", + "accept": false, + "reason": "Both are raw.githubusercontent.com download failures, but the target files and underlying cause are not shown to be the same." + }, + { + "left": "issue:9293", + "right": "issue:9298", + "accept": true, + "reason": "Exact same Float8_e4m3fnStorage lookup failure; duplicate." + }, + { + "left": "issue:4557", + "right": "issue:4868", + "accept": true, + "reason": "Same super object __getattr__ AttributeError; duplicate." + }, + { + "left": "issue:11225", + "right": "issue:9546", + "accept": false, + "reason": "Both are validation-step OOM reports, but they are model-family-specific and only symptom-level similar here." + }, + { + "left": "issue:9726", + "right": "issue:9727", + "accept": false, + "reason": "Related FLUX.1-dev multi-GPU reports, but one is a training problem and the other a save problem; not the same bug." + }, + { + "left": "issue:6363", + "right": "issue:7330", + "accept": true, + "reason": "Same Attempting to unscale FP16 gradients error in the LoRA training script family; duplicate." + }, + { + "left": "issue:2780", + "right": "issue:6363", + "accept": true, + "reason": "Same FP16 unscale failure in text-to-image LoRA training; duplicate." + }, + { + "left": "issue:4104", + "right": "issue:6815", + "accept": false, + "reason": "Same broad black-image/invalid-cast symptom, but not enough evidence of one shared root cause across the different reports." + }, + { + "left": "issue:11169", + "right": "issue:6517", + "accept": false, + "reason": "Both are import failures, but the reported errors differ and do not indicate the same bug." + }, + { + "left": "issue:11417", + "right": "issue:2044", + "accept": true, + "reason": "Exact same DistributedDataParallel has no dtype AttributeError; duplicate." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The canonical choice is reasonably grounded, and several exact-title or near-exact duplicate pairs are fine. However, the soft-edge section is too assertive in a few places given the packet only provides titles/body sizes, not body text or code traces. In particular, pairs like issue:11225 vs issue:9546, issue:6815 vs issue:8759, issue:10343 vs issue:6815, and issue:3954 vs issue:8236 read like symptom-level similarity rather than clearly the same bug. For this task, those should stay conservative unless the packet shows stronger shared evidence. The summary should also avoid implying direct proof of sameness for broad symptom matches when the model/pipeline context differs." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 2, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10520", + "issue:10575", + "issue:10650", + "issue:10673", + "issue:10958", + "issue:11413", + "issue:11436", + "issue:12009", + "issue:12104", + "issue:12559", + "issue:1433", + "issue:1875", + "issue:2500", + "issue:2780", + "issue:3489", + "issue:5110", + "issue:5510", + "issue:5607", + "issue:5749", + "issue:5805", + "issue:5897", + "issue:6086", + "issue:6363", + "issue:6368", + "issue:6445", + "issue:6517", + "issue:6570", + "issue:6821", + "issue:6832", + "issue:6879", + "issue:7261", + "issue:7286", + "issue:7330", + "issue:736", + "issue:7681", + "issue:7708", + "issue:7854", + "issue:7891", + "issue:7935", + "issue:7978", + "issue:8465", + "issue:8581", + "issue:8833", + "issue:8863", + "issue:9362", + "issue:9448", + "issue:9476" + ], + "soft_pairs": [ + "issue:6517|issue:7681", + "issue:5749|issue:9362", + "issue:12559|issue:7978", + "issue:5607|issue:6570", + "issue:7935|issue:8833", + "issue:12104|issue:9362", + "issue:1875|issue:5510", + "issue:10650|issue:10673", + "issue:7854|issue:9476", + "issue:11413|issue:6517", + "issue:7708|issue:7935", + "issue:5110|issue:736", + "issue:5897|issue:7891", + "issue:6086|issue:6363", + "issue:7261|issue:7286", + "issue:1875|issue:7854", + "issue:11436|issue:6879", + "issue:10958|issue:12009", + "issue:10958|issue:2500", + "issue:8863|issue:9448", + "issue:1875|issue:5805", + "issue:6445|issue:6821", + "issue:2780|issue:7330", + "issue:6832|issue:8863", + "issue:7935|issue:8465", + "issue:10520|issue:7891", + "issue:6368|issue:8581", + "issue:10575|issue:5749", + "issue:1433|issue:3489" + ], + "prepared_review_unit_hash": "85ad060b999b6dfe4d5e443055781096e05483f557cb1d6f1af4713b8d076769", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 29, + "serialized_chars": 36851, + "estimated_input_tokens": 9213, + "estimated_eval_tokens": 18682 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster still breaks into a few well-supported duplicate subgroups, especially the LoRA FP16 unscale reports and a handful of exact-message matches. However, several tuple.shape links are too weakly grounded to treat as confirmed duplicates, so I\u2019d keep the triage conservative and not collapse the broader cluster too aggressively.", + "confidence": 0.69, + "canonical_issue_reason": "Issue 6086 is the strongest canonical anchor for the accepted duplicate subgroup: it has the richest discussion, a clear repro, and matches the same FP16-gradient unscale failure seen in 6363 and 7330.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6086 is the best overall issue to anchor the confirmed subgroup because it is detailed, well-scoped, and explicitly captures the shared LoRA training failure mode.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6517", + "right": "issue:7681", + "accept": false, + "reason": "Both are import-time failures, but they involve different modules and different underlying causes." + }, + { + "left": "issue:5749", + "right": "issue:9362", + "accept": false, + "reason": "Both are IndexErrors, but the reported sizes differ and there is no clear shared failing code path." + }, + { + "left": "issue:12559", + "right": "issue:7978", + "accept": true, + "reason": "Same concrete torchvision::nms missing-operator failure; the later report is just a more specific instance of the same bug." + }, + { + "left": "issue:5607", + "right": "issue:6570", + "accept": true, + "reason": "Both report the same tensor-size mismatch in the StableDiffusionXLInstructPix2Pix pipeline family." + }, + { + "left": "issue:7935", + "right": "issue:8833", + "accept": false, + "reason": "Both mention missing config.json, but they point to different models and loader contexts." + }, + { + "left": "issue:12104", + "right": "issue:9362", + "accept": false, + "reason": "Same broad IndexError wording, but the tensor sizes and failure context are clearly different." + }, + { + "left": "issue:1875", + "right": "issue:5510", + "accept": false, + "reason": "Both are dtype mismatch errors, but the pipeline context and concrete failure mode are not the same." + }, + { + "left": "issue:10650", + "right": "issue:10673", + "accept": false, + "reason": "The shape text matches, but the pipelines/models differ enough that this is not clearly the same underlying bug." + }, + { + "left": "issue:7854", + "right": "issue:9476", + "accept": false, + "reason": "Both are dtype mismatch reports, but they arise in different training/validation contexts and are too generic to merge." + }, + { + "left": "issue:11413", + "right": "issue:6517", + "accept": false, + "reason": "Both are import failures, but the traceback targets different pipelines and does not indicate a shared root cause." + }, + { + "left": "issue:7708", + "right": "issue:7935", + "accept": false, + "reason": "Both involve missing config.json, but the model/path context differs and the evidence is too weak for duplication." + }, + { + "left": "issue:5110", + "right": "issue:736", + "accept": true, + "reason": "Same HFValidationError about invalid repo IDs; the second report is the same validation bug in another form." + }, + { + "left": "issue:5897", + "right": "issue:7891", + "accept": false, + "reason": "The device-mismatch wording is similar, but the reports are too context-poor to prove the same concrete bug." + }, + { + "left": "issue:6086", + "right": "issue:6363", + "accept": true, + "reason": "Same exact FP16 unscale failure in the LoRA text-to-image training script family." + }, + { + "left": "issue:7261", + "right": "issue:7286", + "accept": true, + "reason": "Both are unsuccessful cross-attention weight loading reports for Custom Diffusion, with the second adding a pipeline variant." + }, + { + "left": "issue:1875", + "right": "issue:7854", + "accept": false, + "reason": "Both are half/float mismatch reports, but the surrounding pipelines differ and the bug is not concretely the same." + }, + { + "left": "issue:11436", + "right": "issue:6879", + "accept": false, + "reason": "Both are mat1/mat2 dtype mismatch errors, but one is half vs bfloat16 and the other is half vs float." + }, + { + "left": "issue:10958", + "right": "issue:12009", + "accept": false, + "reason": "Both mention meta-tensor loading problems, but the model format and loader path differ enough to keep them separate." + }, + { + "left": "issue:10958", + "right": "issue:2500", + "accept": false, + "reason": "Same meta-tensor symptom, but one is a specific pipeline loader report and the other is test failures; too broad to merge." + }, + { + "left": "issue:8863", + "right": "issue:9448", + "accept": false, + "reason": "The tuple.shape symptom is similar, but the evidence is only a generic exception string plus a broad pipeline family, so this is not confirmed duplicate-level evidence." + }, + { + "left": "issue:1875", + "right": "issue:5805", + "accept": false, + "reason": "Both are dtype-related, but the titles do not show the same concrete failure path." + }, + { + "left": "issue:6445", + "right": "issue:6821", + "accept": false, + "reason": "Both are caption_column validation issues, but the accepted values and dataset-schema contexts differ." + }, + { + "left": "issue:2780", + "right": "issue:7330", + "accept": true, + "reason": "Same exact Attempting to unscale FP16 gradients failure in the LoRA text-to-image training script family." + }, + { + "left": "issue:6832", + "right": "issue:8863", + "accept": false, + "reason": "This is only supported by a generic tuple.shape exception and broad pipeline-family similarity, which is not enough to confirm a duplicate." + }, + { + "left": "issue:7935", + "right": "issue:8465", + "accept": false, + "reason": "Both mention missing config.json, but they involve different pipelines and model-loading paths." + }, + { + "left": "issue:10520", + "right": "issue:7891", + "accept": false, + "reason": "Same device-mismatch wording, but the reports are too vague to prove the same code path." + }, + { + "left": "issue:6368", + "right": "issue:8581", + "accept": false, + "reason": "Both are unsupported-lora-layer errors, but they reference different layers and are not the same concrete bug." + }, + { + "left": "issue:10575", + "right": "issue:5749", + "accept": false, + "reason": "Both are index-out-of-bounds errors, but the dimensions and sizes differ and there is no clear shared failure path." + }, + { + "left": "issue:1433", + "right": "issue:3489", + "accept": true, + "reason": "Same OnnxRuntimeModel has no attribute config error; the second is a pipeline-specific duplicate of the first." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is mostly grounded, but a few soft-edge accepts are too strong for the evidence in the packet. In particular, the tuple.shape links (issue:6832 \u2194 issue:8863 and issue:8863 \u2194 issue:9448) are only supported by a generic exception string plus a broad pipeline family, so treating them as confirmed duplicates overstates the packet. The LoRA FP16-unscale subgroup and the exact-message pairs (e.g. HFValidationError, torchvision::nms, OnnxRuntimeModel.config) are better supported. Because the output accepts some weakly grounded merges, I\u2019d reject for precision." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 3, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10520", + "issue:10722", + "issue:10896", + "issue:10897", + "issue:10952", + "issue:11436", + "issue:12436", + "issue:13261", + "issue:13311", + "issue:3357", + "issue:3651", + "issue:4410", + "issue:4752", + "issue:4932", + "issue:4933", + "issue:5022", + "issue:5025", + "issue:5399", + "issue:5510", + "issue:5603", + "issue:5661", + "issue:6124", + "issue:6278", + "issue:6363", + "issue:6482", + "issue:7003", + "issue:7330", + "issue:7708", + "issue:7978", + "issue:8518", + "issue:859", + "issue:8833", + "issue:9063", + "issue:9109", + "issue:9291", + "issue:9292", + "issue:9443", + "issue:9448", + "issue:9602", + "issue:9628", + "issue:9726", + "issue:9727", + "issue:9790", + "issue:9799", + "issue:9895", + "issue:9901", + "issue:9973" + ], + "soft_pairs": [ + "issue:10896|issue:10897", + "issue:9063|issue:9443", + "issue:4932|issue:4933", + "issue:3651|issue:6278", + "issue:9291|issue:9292", + "issue:5022|issue:5661", + "issue:10722|issue:9799", + "issue:9727|issue:9790", + "issue:6363|issue:6482", + "issue:10952|issue:9602", + "issue:9726|issue:9790", + "issue:3357|issue:8518", + "issue:7330|issue:9628", + "issue:6124|issue:7330", + "issue:9628|issue:9973", + "issue:9448|issue:9901", + "issue:7708|issue:8833", + "issue:10520|issue:9895", + "issue:13261|issue:13311", + "issue:11436|issue:5399", + "issue:7978|issue:9109", + "issue:5025|issue:5603", + "issue:12436|issue:859", + "issue:4752|issue:5510", + "issue:4410|issue:7003" + ], + "prepared_review_unit_hash": "607f7cefb8a8b1a8a7a41bf1917a6d6b32b91415c039c9b64fcb91cb7e765f87", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34728, + "estimated_input_tokens": 8682, + "estimated_eval_tokens": 17620 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is heterogeneous overall, but many pairs are clear duplicate issues around the same error or request. I accepted only pairs that appear to describe the same underlying bug/feature and rejected pairs that merely share a subsystem or broad error class.", + "confidence": 0.89, + "canonical_issue_reason": "No single canonical issue covers the full set because the items split into many unrelated subclusters. The cleanest duplicate anchor is issue 10897, which is an exact same-title match to 10896 and remains open.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10897 is the best issue to keep as the canonical representative for its subcluster: it is an exact duplicate of 10896, has the same request text, and is open.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10896", + "right": "issue:10897", + "accept": true, + "reason": "Exact same title and same feature request; these are duplicates." + }, + { + "left": "issue:9063", + "right": "issue:9443", + "accept": false, + "reason": "Same error string, but different pipelines/models; likely separate tokenizer-loading cases." + }, + { + "left": "issue:4932", + "right": "issue:4933", + "accept": true, + "reason": "Same DreamBooth output complaint with near-identical wording; duplicate reports." + }, + { + "left": "issue:3651", + "right": "issue:6278", + "accept": false, + "reason": "Both mention multi-GPU, but they affect different training scripts and likely different failure points." + }, + { + "left": "issue:9291", + "right": "issue:9292", + "accept": true, + "reason": "Both report FLUX LoRA key incompatibility with diffusers loaders; same underlying compatibility bug." + }, + { + "left": "issue:5022", + "right": "issue:5661", + "accept": true, + "reason": "Both are the same missing PreTrainedTokenizer import/name error in diffusers." + }, + { + "left": "issue:10722", + "right": "issue:9799", + "accept": false, + "reason": "Both are tensor-size mismatches, but the actual dimensions and training contexts differ." + }, + { + "left": "issue:9727", + "right": "issue:9790", + "accept": false, + "reason": "One is a save problem and the other is a training problem; not clearly the same bug." + }, + { + "left": "issue:6363", + "right": "issue:6482", + "accept": true, + "reason": "Same FP16 unscale error in closely related DreamBooth/LoRA training paths." + }, + { + "left": "issue:10952", + "right": "issue:9602", + "accept": true, + "reason": "Both are adapter-name lookup failures during LoRA loading; same adapter handling issue." + }, + { + "left": "issue:9726", + "right": "issue:9790", + "accept": true, + "reason": "Same FLUX.1-dev DreamBooth multigpu training failure theme and likely same code path." + }, + { + "left": "issue:3357", + "right": "issue:8518", + "accept": false, + "reason": "Both are torch.compile errors, but they are different unsupported operations and different stack paths." + }, + { + "left": "issue:7330", + "right": "issue:9628", + "accept": true, + "reason": "Same \"Attempting to unscale FP16 gradients\" training failure across related scripts." + }, + { + "left": "issue:6124", + "right": "issue:7330", + "accept": true, + "reason": "Same FP16 gradient unscale error in DreamBooth/LoRA training flows." + }, + { + "left": "issue:9628", + "right": "issue:9973", + "accept": true, + "reason": "Both report the same FP16 unscale failure in DreamBooth LoRA SD3 training." + }, + { + "left": "issue:9448", + "right": "issue:9901", + "accept": true, + "reason": "Both describe the same tuple-vs-shape attention/processor bug path." + }, + { + "left": "issue:7708", + "right": "issue:8833", + "accept": false, + "reason": "Both are missing-file model loading errors, but they concern different repos and different missing files." + }, + { + "left": "issue:10520", + "right": "issue:9895", + "accept": false, + "reason": "Same device-mismatch symptom, but different models and no evidence they share the same fix." + }, + { + "left": "issue:13261", + "right": "issue:13311", + "accept": true, + "reason": "Both are FLUX.2-klein-9B LoRA compatibility failures in the same transformer/LoRA loading path." + }, + { + "left": "issue:11436", + "right": "issue:5399", + "accept": false, + "reason": "Both are dtype mismatches, but they involve different pipelines and are too generic to merge confidently." + }, + { + "left": "issue:7978", + "right": "issue:9109", + "accept": true, + "reason": "Exact same torchvision::nms missing-operator error." + }, + { + "left": "issue:5025", + "right": "issue:5603", + "accept": false, + "reason": "Both are import errors from diffusers.utils, but they are different missing symbols and likely separate breakages." + }, + { + "left": "issue:12436", + "right": "issue:859", + "accept": false, + "reason": "Both are unexpected-argument constructor errors, but for different classes and different arguments." + }, + { + "left": "issue:4752", + "right": "issue:5510", + "accept": false, + "reason": "Both are dtype mismatches in SDXL-family pipelines, but the concrete pipelines and fixes are different." + }, + { + "left": "issue:4410", + "right": "issue:7003", + "accept": false, + "reason": "Both involve weight-shape mismatches, but they are different in/out channel expectations and different loading scenarios." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The canonical anchor choice is supported by the identical SkyReels-A1 titles and open state on 10897, and the accepted soft-edge pairs all have reasonably close title/body alignment rather than just broad subsystem similarity. The rejected pairs are also appropriately cautious. No clear overstatement of evidence stood out." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 4, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10154", + "issue:10343", + "issue:10467", + "issue:10928", + "issue:11218", + "issue:11410", + "issue:11417", + "issue:11702", + "issue:11709", + "issue:11849", + "issue:11865", + "issue:11901", + "issue:12104", + "issue:12174", + "issue:12778", + "issue:13261", + "issue:13350", + "issue:1925", + "issue:1931", + "issue:1946", + "issue:1976", + "issue:2100", + "issue:2947", + "issue:3325", + "issue:3481", + "issue:3829", + "issue:4265", + "issue:4752", + "issue:4868", + "issue:5259", + "issue:5510", + "issue:5805", + "issue:6139", + "issue:6363", + "issue:6821", + "issue:6914", + "issue:7049", + "issue:720", + "issue:7210", + "issue:7708", + "issue:7851", + "issue:7854", + "issue:8759", + "issue:8975", + "issue:9210", + "issue:9628", + "issue:9690", + "issue:9901" + ], + "soft_pairs": [ + "issue:10154|issue:7210", + "issue:1931|issue:720", + "issue:4752|issue:7854", + "issue:11417|issue:12778", + "issue:1946|issue:3325", + "issue:6363|issue:9628", + "issue:6914|issue:9901", + "issue:13261|issue:13350", + "issue:1925|issue:1931", + "issue:2947|issue:6139", + "issue:10928|issue:5259", + "issue:10343|issue:8759", + "issue:5510|issue:5805", + "issue:4752|issue:5805", + "issue:12104|issue:7851", + "issue:10467|issue:9690", + "issue:6821|issue:9210", + "issue:12174|issue:4868", + "issue:3481|issue:3829", + "issue:11417|issue:11865", + "issue:11218|issue:8975", + "issue:11702|issue:11709", + "issue:1976|issue:7708", + "issue:2100|issue:4265", + "issue:11410|issue:7049", + "issue:11849|issue:11901" + ], + "prepared_review_unit_hash": "73578b402a4ad4b2104ce6c628216c4a575d394ab066dcd47fccc3a7c973f6e2", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 35606, + "estimated_input_tokens": 8902, + "estimated_eval_tokens": 18060 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not one tight duplicate cluster; it contains several separate bug families. Clear duplicate-like pairs mostly involve repeated dtype-mismatch errors, repeated missing-file/import lookups, repeated attribute errors, and repeated LoRA key-loading failures. Several other soft pairs are only broadly similar and should stay separate.", + "confidence": 0.84, + "canonical_issue_reason": "No single canonical issue covers the whole set; the items split into multiple unrelated bug families. If one representative must be chosen, issue 1931 best captures the recurring half-precision dtype-mismatch subgroup.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1931 is the strongest overall representative because it is a clear, recurring half-precision/float dtype-mismatch report and aligns with other near-duplicate reports in that subgroup.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10154", + "right": "issue:7210", + "accept": false, + "reason": "Both are AttributeError reports, but they hit different APIs and code paths: load_lora_weights vs accelerate.load_checkpoint_and_dispatch. Not the same bug." + }, + { + "left": "issue:1931", + "right": "issue:720", + "accept": true, + "reason": "Same underlying float16/Half vs Float mismatch during Stable Diffusion inference; the symptom and fix path are effectively the same." + }, + { + "left": "issue:4752", + "right": "issue:7854", + "accept": true, + "reason": "These are the same input/bias dtype mismatch error in SDXL code, with nearly identical wording and likely the same fix." + }, + { + "left": "issue:11417", + "right": "issue:12778", + "accept": false, + "reason": "Both are missing-attribute errors, but on different objects and different failures. Too little evidence of one concrete shared bug." + }, + { + "left": "issue:1946", + "right": "issue:3325", + "accept": false, + "reason": "Both mention CUDA invalid argument, but one is xformers-related and the other is train_dreambooth.py. Same broad symptom, not the same bug." + }, + { + "left": "issue:6363", + "right": "issue:9628", + "accept": false, + "reason": "Same error text, but different training scripts and model setups. Insufficient evidence that one code-path fix would address both." + }, + { + "left": "issue:6914", + "right": "issue:9901", + "accept": false, + "reason": "Both are tuple/shape-related AttributeErrors, but they occur in different contexts (IP-Adapter/cpu offload vs AttnProcessor) and do not clearly share one root cause." + }, + { + "left": "issue:13261", + "right": "issue:13350", + "accept": false, + "reason": "One is a LoRA/lokr loading failure; the other is a batch inference usage question. Not the same underlying bug." + }, + { + "left": "issue:1925", + "right": "issue:1931", + "accept": true, + "reason": "Both describe the same half-precision/float mismatch class of bug in Stable Diffusion inference." + }, + { + "left": "issue:2947", + "right": "issue:6139", + "accept": false, + "reason": "These are different missing attributes on UNet2DConditionModel, so they are not the same concrete defect." + }, + { + "left": "issue:10928", + "right": "issue:5259", + "accept": false, + "reason": "Different missing-file errors: fp16 weight file vs model_index.json. Separate problems." + }, + { + "left": "issue:10343", + "right": "issue:8759", + "accept": true, + "reason": "Same invalid-cast warning in image postprocessing leading to black images; the symptom and code area match closely." + }, + { + "left": "issue:5510", + "right": "issue:5805", + "accept": false, + "reason": "Both are dtype mismatch errors, but they occur in different pipelines/platforms and the exact failure context differs too much to merge confidently." + }, + { + "left": "issue:4752", + "right": "issue:5805", + "accept": false, + "reason": "Same broad dtype mismatch theme, but one is an SDXL pipeline bug and the other is an XLA-specific issue with opposite type ordering. Not a clean duplicate." + }, + { + "left": "issue:12104", + "right": "issue:7851", + "accept": false, + "reason": "Both are index-out-of-bounds errors, but one is size 0 and the other is a concurrency-related size 11 case. Different bugs." + }, + { + "left": "issue:10467", + "right": "issue:9690", + "accept": false, + "reason": "One is about a generated temp filename in FP8 example output; the other is a cleanup request. Not the same issue." + }, + { + "left": "issue:6821", + "right": "issue:9210", + "accept": false, + "reason": "These are opposite dataset-column validation errors (caption_column vs image_column) and do not indicate the same defect." + }, + { + "left": "issue:12174", + "right": "issue:4868", + "accept": true, + "reason": "Same AttributeError on __getattr__ with the same underlying failure signature." + }, + { + "left": "issue:3481", + "right": "issue:3829", + "accept": false, + "reason": "Both discuss image differences across inference settings, but they involve different schedulers/pipelines and are too broad to treat as one bug." + }, + { + "left": "issue:11417", + "right": "issue:11865", + "accept": false, + "reason": "Completely different attribute errors on different objects; no shared code-path is apparent." + }, + { + "left": "issue:11218", + "right": "issue:8975", + "accept": false, + "reason": "Both are import errors from diffusers.loaders, but they concern different symbols and likely different missing exports." + }, + { + "left": "issue:11702", + "right": "issue:11709", + "accept": true, + "reason": "Both are LoRA key-loading failures in diffusers for closely related video-model use cases; a single loader fix could plausibly address both." + }, + { + "left": "issue:1976", + "right": "issue:7708", + "accept": true, + "reason": "Same incorrect tokenizer/config.json file lookup against a model repo that does not provide it." + }, + { + "left": "issue:2100", + "right": "issue:4265", + "accept": false, + "reason": "Different missing imports for different pipelines/classes; same category, but not the same concrete bug." + }, + { + "left": "issue:11410", + "right": "issue:7049", + "accept": true, + "reason": "Exact same too-many-values-to-unpack error in the attention/IP-adapter code path." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The accepted soft-edge pairs are mostly supported by near-identical error signatures/titles, and the rejected pairs avoid overclaiming when only broad symptom overlap is present. No clear overstatement stands out." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 5, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10154", + "issue:10472", + "issue:11218", + "issue:12174", + "issue:12436", + "issue:12480", + "issue:12481", + "issue:12482", + "issue:12719", + "issue:12722", + "issue:12895", + "issue:1709", + "issue:2044", + "issue:2402", + "issue:246", + "issue:2696", + "issue:3816", + "issue:4104", + "issue:4198", + "issue:4325", + "issue:4456", + "issue:4478", + "issue:4557", + "issue:4619", + "issue:4752", + "issue:5171", + "issue:5399", + "issue:5510", + "issue:5518", + "issue:5596", + "issue:5805", + "issue:6444", + "issue:6734", + "issue:6832", + "issue:6858", + "issue:6879", + "issue:7506", + "issue:7516", + "issue:7572", + "issue:7854", + "issue:7922", + "issue:8463", + "issue:8556", + "issue:8578", + "issue:9112", + "issue:9448", + "issue:9645", + "issue:9799" + ], + "soft_pairs": [ + "issue:2402|issue:2696", + "issue:12174|issue:4557", + "issue:246|issue:3816", + "issue:4619|issue:7854", + "issue:1709|issue:2044", + "issue:4198|issue:5399", + "issue:5399|issue:6879", + "issue:4104|issue:4325", + "issue:9112|issue:9799", + "issue:4619|issue:5510", + "issue:6734|issue:8463", + "issue:7516|issue:7922", + "issue:11218|issue:9645", + "issue:8556|issue:8578", + "issue:7506|issue:8578", + "issue:4456|issue:5518", + "issue:5596|issue:6858", + "issue:4478|issue:5805", + "issue:4752|issue:7572", + "issue:12895|issue:8463", + "issue:10472|issue:12436", + "issue:10154|issue:6444", + "issue:12436|issue:5171", + "issue:6832|issue:9448", + "issue:12719|issue:12722", + "issue:12481|issue:12482", + "issue:12480|issue:12482" + ], + "prepared_review_unit_hash": "69f6c3b012e089969579c58875f2c9d8070b05eafba8e2ed3f84f646c5061c15", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 36285, + "estimated_input_tokens": 9072, + "estimated_eval_tokens": 18400 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly heterogeneous, but there are a few clear duplicate mini-clusters: CUDA-not-enabled, super.__getattr__, black-image/cast warning, NoneType.tokenize, meta-tensor copy, dtype mismatch in SDXL, and the offload_state_dict CLIPTextModel reports. The strongest duplicate group is the offload_state_dict trio.", + "confidence": 0.82, + "canonical_issue_reason": "issue:12482 has the cleanest, most direct title for the CLIPTextModel offload_state_dict bug, while 12480/12481 are near-identical noisy variants of the same report.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12482 is the best representative issue in this set because it captures the core error succinctly and sits in the tightest duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2402", + "right": "issue:2696", + "accept": true, + "reason": "Same underlying runtime failure: Torch was built without CUDA support." + }, + { + "left": "issue:12174", + "right": "issue:4557", + "accept": true, + "reason": "Exact same AttributeError on super.__getattr__; clearly the same bug report." + }, + { + "left": "issue:246", + "right": "issue:3816", + "accept": false, + "reason": "Both are missing-transformers-symbol errors, but they involve different attributes and likely different breakages." + }, + { + "left": "issue:4619", + "right": "issue:7854", + "accept": true, + "reason": "Same concrete dtype mismatch error in the diffusion model path; likely duplicate reports of the same bug." + }, + { + "left": "issue:1709", + "right": "issue:2044", + "accept": false, + "reason": "Different AttributeErrors in different code paths; only superficially similar." + }, + { + "left": "issue:4198", + "right": "issue:5399", + "accept": false, + "reason": "Both mention mat1/mat2 dtype issues, but the described scenarios and code paths are too different to treat as one bug." + }, + { + "left": "issue:5399", + "right": "issue:6879", + "accept": false, + "reason": "Same broad dtype-mismatch theme, but different scenarios and no evidence of the same concrete defect." + }, + { + "left": "issue:4104", + "right": "issue:4325", + "accept": true, + "reason": "Black-image output with invalid-value-encountered-in-cast is the same failure mode." + }, + { + "left": "issue:9112", + "right": "issue:9799", + "accept": false, + "reason": "Both are tensor-size mismatch errors, but the shapes differ substantially and suggest different underlying bugs." + }, + { + "left": "issue:4619", + "right": "issue:5510", + "accept": false, + "reason": "Same class of dtype mismatch, but different pipelines/code paths and not enough evidence of one shared bug." + }, + { + "left": "issue:6734", + "right": "issue:8463", + "accept": true, + "reason": "Same NoneType.tokenize failure in the InstructP2P/SDXL path; this looks like the same bug." + }, + { + "left": "issue:7516", + "right": "issue:7922", + "accept": false, + "reason": "Both are missing diffusers attributes, but they concern different pipelines and likely different version-gated symbols." + }, + { + "left": "issue:11218", + "right": "issue:9645", + "accept": false, + "reason": "Both are import failures from diffusers.loaders, but the missing mixins are different and not clearly the same defect." + }, + { + "left": "issue:8556", + "right": "issue:8578", + "accept": true, + "reason": "Same meta-tensor copy failure during model loading; the model names differ, but the code-path problem is the same." + }, + { + "left": "issue:7506", + "right": "issue:8578", + "accept": false, + "reason": "Both mention meta tensors, but the reported loading contexts are different enough that this is not clearly the same bug." + }, + { + "left": "issue:4456", + "right": "issue:5518", + "accept": false, + "reason": "Both involve LoRA and ModuleList, but the failing attribute access differs and the underlying bugs are not clearly the same." + }, + { + "left": "issue:5596", + "right": "issue:6858", + "accept": false, + "reason": "Both are convert() type errors, but the wrong input types and training contexts differ." + }, + { + "left": "issue:4478", + "right": "issue:5805", + "accept": false, + "reason": "Same general dtype mismatch theme, but one is SDXL from_pretrained and the other is XLA LCM-SDXL; not the same concrete bug." + }, + { + "left": "issue:4752", + "right": "issue:7572", + "accept": true, + "reason": "Same exact input/bias dtype mismatch error in Stable Diffusion XL; these look like duplicate reports." + }, + { + "left": "issue:12895", + "right": "issue:8463", + "accept": false, + "reason": "Both have AttributeError wording, but the failure modes and contexts are unrelated." + }, + { + "left": "issue:12481", + "right": "issue:12482", + "accept": true, + "reason": "Near-exact duplicate offload_state_dict CLIPTextModel TypeError report." + }, + { + "left": "issue:12480", + "right": "issue:12482", + "accept": true, + "reason": "Same offload_state_dict CLIPTextModel TypeError; 12480 is just a noisier variant of 12482." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the canonical/best-issue choice for the offload_state_dict trio is well supported by the near-identical titles. The accepted soft-edge pairs are conservative enough based on the issue titles alone, and the rejected pairs avoid overclaiming where the evidence is only thematic." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 6, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10453", + "issue:10542", + "issue:10910", + "issue:11218", + "issue:11435", + "issue:12147", + "issue:12535", + "issue:12609", + "issue:12612", + "issue:12778", + "issue:12779", + "issue:13311", + "issue:13350", + "issue:1399", + "issue:2294", + "issue:2780", + "issue:3010", + "issue:3017", + "issue:3140", + "issue:4224", + "issue:4409", + "issue:4529", + "issue:4615", + "issue:4837", + "issue:4868", + "issue:5054", + "issue:539", + "issue:5737", + "issue:5992", + "issue:5998", + "issue:6079", + "issue:6082", + "issue:6098", + "issue:6124", + "issue:6324", + "issue:6363", + "issue:6442", + "issue:6454", + "issue:6482", + "issue:6832", + "issue:6914", + "issue:7210", + "issue:8182", + "issue:8975", + "issue:9237", + "issue:9548", + "issue:9970", + "issue:9973" + ], + "soft_pairs": [ + "issue:12609|issue:12612", + "issue:10453|issue:10542", + "issue:4224|issue:4409", + "issue:10910|issue:6454", + "issue:12778|issue:12779", + "issue:6363|issue:6454", + "issue:9237|issue:9548", + "issue:3010|issue:3017", + "issue:4529|issue:539", + "issue:9970|issue:9973", + "issue:11435|issue:4615", + "issue:4837|issue:5737", + "issue:10910|issue:6363", + "issue:11435|issue:8975", + "issue:2780|issue:6454", + "issue:6079|issue:6082", + "issue:2294|issue:4615", + "issue:13311|issue:13350", + "issue:6832|issue:6914", + "issue:5054|issue:7210", + "issue:3140|issue:4615", + "issue:11218|issue:4615", + "issue:6098|issue:6482", + "issue:6124|issue:6442", + "issue:1399|issue:5998", + "issue:12147|issue:12535", + "issue:4868|issue:6324", + "issue:4868|issue:8182", + "issue:5992|issue:6324" + ], + "prepared_review_unit_hash": "3956d44b6e51cf614bf31430d31769dbd7ca253143c224f3ff7755b21c5f9a25", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 35765, + "estimated_input_tokens": 8942, + "estimated_eval_tokens": 18140 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Use issue:6454 as the canonical anchor for the recurring FP16-unscale reports, but apply a strict title-only policy for soft edges. Most proposed duplicate links are too weakly evidenced and should be rejected; only the 9237/9548 pair has explicit duplicate-style evidence.", + "confidence": 0.79, + "canonical_issue_reason": "issue:6454 is the most generic FP16-unscale report in the set and is the best anchor for that recurring family.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6454 is the best single issue representative because it is the broadest, least script-specific FP16-unscale report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12609", + "right": "issue:12612", + "accept": false, + "reason": "Same broad WAN NaN wording, but the packet provides only title similarity and no concrete shared repro/root-cause evidence." + }, + { + "left": "issue:10453", + "right": "issue:10542", + "accept": false, + "reason": "Both are Hunyuan Video batch-size complaints, but the recurrence claim is only in the title and is not enough to mark a duplicate." + }, + { + "left": "issue:4224", + "right": "issue:4409", + "accept": false, + "reason": "Different missing attributes (`control_model` vs `alphas_cumprod`); related area, not the same bug." + }, + { + "left": "issue:10910", + "right": "issue:6454", + "accept": false, + "reason": "FP16-unscale title match alone is too broad; no body-level evidence that these are the same concrete failure." + }, + { + "left": "issue:12778", + "right": "issue:12779", + "accept": false, + "reason": "Different Flux2 failures in different code paths, not the same underlying issue." + }, + { + "left": "issue:6363", + "right": "issue:6454", + "accept": false, + "reason": "Both mention FP16-unscale, but the packet gives no direct evidence they are the same bug beyond the shared error text." + }, + { + "left": "issue:9237", + "right": "issue:9548", + "accept": true, + "reason": "Accept: #9548 explicitly says it is still the issue on #9237, which is direct duplicate-style evidence." + }, + { + "left": "issue:3010", + "right": "issue:3017", + "accept": false, + "reason": "Both are docs requests about multi-GPU inference, but there is no explicit link or enough evidence to treat them as the same request." + }, + { + "left": "issue:4529", + "right": "issue:539", + "accept": false, + "reason": "Unrelated keyword-argument failures in different APIs." + }, + { + "left": "issue:9970", + "right": "issue:9973", + "accept": false, + "reason": "Same general DreamBooth SDXL LoRA area, but only title similarity is available and that is not enough for a duplicate call." + }, + { + "left": "issue:11435", + "right": "issue:4615", + "accept": false, + "reason": "Different missing imports/symbols; not the same code-path failure." + }, + { + "left": "issue:4837", + "right": "issue:5737", + "accept": false, + "reason": "Both concern SDXL conversion, but the packet does not show enough shared evidence to confirm the same bug." + }, + { + "left": "issue:10910", + "right": "issue:6363", + "accept": false, + "reason": "FP16-unscale phrasing alone is insufficient to conclude the same underlying defect." + }, + { + "left": "issue:11435", + "right": "issue:8975", + "accept": false, + "reason": "Different missing import targets, so not duplicates." + }, + { + "left": "issue:2780", + "right": "issue:6454", + "accept": false, + "reason": "Specific training script report vs generic issue, but no concrete evidence they are the same failure." + }, + { + "left": "issue:6079", + "right": "issue:6082", + "accept": false, + "reason": "Very similar half/float error wording, but no body evidence that the two reports share the same root cause." + }, + { + "left": "issue:2294", + "right": "issue:4615", + "accept": false, + "reason": "Different import targets in different pipelines; too different to merge." + }, + { + "left": "issue:13311", + "right": "issue:13350", + "accept": false, + "reason": "One is about missing LoRA keys, the other about batch inference usage; not the same bug." + }, + { + "left": "issue:6832", + "right": "issue:6914", + "accept": false, + "reason": "Both are IP-Adapter-FaceID shape-related, but the packet does not provide enough shared reproduction detail to confirm a duplicate." + }, + { + "left": "issue:5054", + "right": "issue:7210", + "accept": false, + "reason": "Different attribute errors in different offload/load paths; related subsystem, not the same bug." + }, + { + "left": "issue:3140", + "right": "issue:4615", + "accept": false, + "reason": "Import-related, but the packet does not establish that these are the same concrete missing-symbol breakage." + }, + { + "left": "issue:11218", + "right": "issue:4615", + "accept": false, + "reason": "Different missing imports; not the same issue." + }, + { + "left": "issue:6098", + "right": "issue:6482", + "accept": false, + "reason": "Both mention FP16-unscale, but the resume-from-checkpoint trigger is not enough evidence to merge them." + }, + { + "left": "issue:6124", + "right": "issue:6442", + "accept": false, + "reason": "Same generic error text, but no direct evidence beyond title similarity." + }, + { + "left": "issue:1399", + "right": "issue:5998", + "accept": false, + "reason": "Both are VersatileDiffusion signature mismatches, but the differing kwargs mean the packet does not prove the same bug." + }, + { + "left": "issue:12147", + "right": "issue:12535", + "accept": false, + "reason": "Similar Wan2.2 Lightning LoRA loading complaints, but no explicit duplicate evidence and different contexts in the titles." + }, + { + "left": "issue:4868", + "right": "issue:6324", + "accept": false, + "reason": "Different attribute errors with different missing members." + }, + { + "left": "issue:4868", + "right": "issue:8182", + "accept": false, + "reason": "Completely different error messages; not duplicates." + }, + { + "left": "issue:5992", + "right": "issue:6324", + "accept": false, + "reason": "Different root causes and different failing symbols; not the same bug." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The canonical anchor around issue:6454 for the recurring FP16-unscale family is plausible, but the soft-edge handling is not conservative enough. Several verdicts are asserted as same-bug duplicates based only on title similarity, while the packet provides no direct evidence beyond that. In particular, claims like issue:10453/issue:10542 being \"clearly a recurrence,\" or multiple FP16-unscale pairs being the same bug, overstate certainty. Given the evaluator\u2019s conservative standard, this should be rejected." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 7, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10281", + "issue:10594", + "issue:10910", + "issue:11417", + "issue:11435", + "issue:11464", + "issue:1466", + "issue:1544", + "issue:1709", + "issue:1817", + "issue:1866", + "issue:1867", + "issue:2041", + "issue:2044", + "issue:2294", + "issue:2780", + "issue:384", + "issue:3973", + "issue:4186", + "issue:4478", + "issue:4529", + "issue:4615", + "issue:4724", + "issue:4868", + "issue:4969", + "issue:5025", + "issue:539", + "issue:5510", + "issue:5572", + "issue:5576", + "issue:5578", + "issue:6098", + "issue:6124", + "issue:6363", + "issue:6454", + "issue:6482", + "issue:6561", + "issue:6636", + "issue:6842", + "issue:7330", + "issue:8182", + "issue:8637", + "issue:8871", + "issue:8975", + "issue:9628", + "issue:9645", + "issue:9973" + ], + "soft_pairs": [ + "issue:3973|issue:4529", + "issue:4969|issue:8637", + "issue:10281|issue:5576", + "issue:10594|issue:11464", + "issue:1866|issue:1867", + "issue:6842|issue:8637", + "issue:4615|issue:8975", + "issue:8637|issue:9645", + "issue:10910|issue:6098", + "issue:1709|issue:4868", + "issue:11435|issue:2294", + "issue:4478|issue:5510", + "issue:1544|issue:2044", + "issue:6124|issue:9628", + "issue:6098|issue:6454", + "issue:384|issue:5572", + "issue:1466|issue:2041", + "issue:5025|issue:8637", + "issue:5578|issue:6561", + "issue:7330|issue:8871", + "issue:1817|issue:4529", + "issue:10910|issue:6482", + "issue:4969|issue:5025", + "issue:4186|issue:4724", + "issue:10910|issue:2780", + "issue:6098|issue:6363", + "issue:6124|issue:9973", + "issue:5025|issue:6636", + "issue:1817|issue:539", + "issue:11417|issue:8182", + "issue:6098|issue:6124" + ], + "prepared_review_unit_hash": "6c7c3989b5921fff2a044b0dc4e3d97b5c61abb4b24ed3fd34ff8c984ac20528", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 31, + "serialized_chars": 36268, + "estimated_input_tokens": 9067, + "estimated_eval_tokens": 18390 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a mixed issue cluster with one dominant duplicate family around \"ValueError: Attempting to unscale FP16 gradients\" in LoRA/DreamBooth training, plus a smaller img2img low-strength pair. Several other pairs are only superficially similar (same subsystem/error class) and should not be merged.", + "confidence": 0.88, + "canonical_issue_reason": "issue:6363 is the most representative FP16-unscale report: exact error title, substantial discussion, inbound references, and an explicit duplicate reference to issue:8871; it best anchors the repeated LoRA/DreamBooth training bug reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6363 has the clearest, most central description of the recurring training failure and appears to be the main hub for related reports across scripts and variants.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3973", + "right": "issue:4529", + "accept": false, + "reason": "Both are import/signature errors, but they affect different functions ('download_from_original_stable_diffusion_ckpt' vs 'load_lora_into_unet') and are not the same bug." + }, + { + "left": "issue:4969", + "right": "issue:8637", + "accept": false, + "reason": "Different missing symbols from different areas ('CrossAttention' vs 'PixArtSigmaPipeline'); same error class, not the same underlying issue." + }, + { + "left": "issue:10281", + "right": "issue:5576", + "accept": false, + "reason": "Both are scheduler feature requests, but FreeScale and FreeNoise are distinct proposals and should not be merged." + }, + { + "left": "issue:10594", + "right": "issue:11464", + "accept": false, + "reason": "Both involve FLUX controls/LoRA, but one is about multiple controls on FLUX.1-dev and the other about loading a specific FLUX Canny LoRA; too different to treat as duplicates." + }, + { + "left": "issue:1866", + "right": "issue:1867", + "accept": true, + "reason": "Both describe img2img failing at very low strength values; one names a scheduler-specific manifestation, the other generalizes the same low-strength pipeline bug." + }, + { + "left": "issue:6842", + "right": "issue:8637", + "accept": false, + "reason": "Both are import errors, but for different pipelines ('Prompt2PromptPipeline' vs 'PixArtSigmaPipeline'); not the same change or bug." + }, + { + "left": "issue:4615", + "right": "issue:8975", + "accept": false, + "reason": "These are separate missing-import reports for different loader/pipeline classes and do not share the same code-path failure." + }, + { + "left": "issue:8637", + "right": "issue:9645", + "accept": false, + "reason": "Different missing imports from different modules; they are not the same underlying issue." + }, + { + "left": "issue:10910", + "right": "issue:6098", + "accept": true, + "reason": "Same exact FP16-unscale training error; these are duplicate reports of the same bug." + }, + { + "left": "issue:1709", + "right": "issue:4868", + "accept": false, + "reason": "Both are AttributeErrors, but in different pipelines and with unrelated missing attributes ('astype' vs '__getattr__')." + }, + { + "left": "issue:11435", + "right": "issue:2294", + "accept": false, + "reason": "Both are import errors, but for different pipeline names and unrelated missing symbols." + }, + { + "left": "issue:4478", + "right": "issue:5510", + "accept": true, + "reason": "Both report the same SDXL dtype mismatch error ('Input type and bias type should be the same') across closely related pipelines, so they likely share the same fix." + }, + { + "left": "issue:1544", + "right": "issue:2044", + "accept": false, + "reason": "Different training/runtime failures: missing 'get_velocity' on the scheduler vs DDP wrapper missing 'dtype'." + }, + { + "left": "issue:6124", + "right": "issue:9628", + "accept": true, + "reason": "Same FP16-unscale error in DreamBooth/LoRA training variants; these are the same underlying bug." + }, + { + "left": "issue:6098", + "right": "issue:6454", + "accept": true, + "reason": "Exact same error message and training failure; clear duplicate." + }, + { + "left": "issue:384", + "right": "issue:5572", + "accept": false, + "reason": "Both involve missing VAE-related attributes, but the missing fields and contexts differ enough that they are not the same bug." + }, + { + "left": "issue:1466", + "right": "issue:2041", + "accept": true, + "reason": "Both report the Dreambooth example being incompatible with Windows/Mac; the later issue is a narrower version of the same cross-platform problem." + }, + { + "left": "issue:5025", + "right": "issue:8637", + "accept": false, + "reason": "Different missing imports ('randn_tensor' vs 'PixArtSigmaPipeline'); same import-error family, not duplicate." + }, + { + "left": "issue:5578", + "right": "issue:6561", + "accept": false, + "reason": "Both are model-loading OSErrors, but they point to different missing files in different models, so they are not the same issue." + }, + { + "left": "issue:7330", + "right": "issue:8871", + "accept": true, + "reason": "Same FP16-unscale failure in LoRA training; one is a specific example script, the other a broader follow-up." + }, + { + "left": "issue:1817", + "right": "issue:4529", + "accept": false, + "reason": "Unrelated API-signature issues in different utilities/mixins; not the same underlying change." + }, + { + "left": "issue:10910", + "right": "issue:6482", + "accept": true, + "reason": "Same FP16-unscale bug, with 6482 being a DreamBooth LoRA SDXL variant of the same training failure." + }, + { + "left": "issue:4969", + "right": "issue:5025", + "accept": false, + "reason": "Both are import problems, but they concern different symbols and unrelated code paths." + }, + { + "left": "issue:4186", + "right": "issue:4724", + "accept": false, + "reason": "Both are SDXL pipeline behavior reports, but one is about inpaint+refiner and the other about img2img with a base checkpoint; too different to merge." + }, + { + "left": "issue:10910", + "right": "issue:2780", + "accept": true, + "reason": "Same FP16-unscale training bug; 2780 is just another script-specific report." + }, + { + "left": "issue:6098", + "right": "issue:6363", + "accept": true, + "reason": "Same recurring FP16-unscale error; 6363 is essentially the same bug in a more specific script context." + }, + { + "left": "issue:6124", + "right": "issue:9973", + "accept": true, + "reason": "Same FP16-unscale failure in SDXL DreamBooth/LoRA training scripts." + }, + { + "left": "issue:5025", + "right": "issue:6636", + "accept": false, + "reason": "Different missing imports from different modules; they are not the same bug." + }, + { + "left": "issue:1817", + "right": "issue:539", + "accept": false, + "reason": "Different API signature regressions in unrelated helper functions." + }, + { + "left": "issue:11417", + "right": "issue:8182", + "accept": false, + "reason": "Completely different AttributeErrors in unrelated objects ('DistributedDataParallel.dtype' vs logger typo), so not duplicates." + }, + { + "left": "issue:6098", + "right": "issue:6124", + "accept": true, + "reason": "Same FP16-unscale training failure, just reported through a different notebook/script." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The dominant FP16-unscale family is supported by the titles and the one explicit duplicate reference (6363 \u2194 8871), and the smaller img2img pair is also defensible. The rejected soft pairs are generally framed by clear title-level differences, so I don\u2019t see overstatement that would justify rejection." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 8, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10722", + "issue:12436", + "issue:12482", + "issue:13137", + "issue:13261", + "issue:2044", + "issue:2132", + "issue:2294", + "issue:2669", + "issue:2780", + "issue:2947", + "issue:3040", + "issue:3787", + "issue:4118", + "issue:4232", + "issue:4234", + "issue:4265", + "issue:4557", + "issue:4615", + "issue:4619", + "issue:4969", + "issue:5012", + "issue:5016", + "issue:5029", + "issue:5075", + "issue:5572", + "issue:5603", + "issue:5712", + "issue:5992", + "issue:6124", + "issue:6126", + "issue:6324", + "issue:6353", + "issue:6371", + "issue:6442", + "issue:6482", + "issue:6636", + "issue:7239", + "issue:7516", + "issue:7681", + "issue:8182", + "issue:8320", + "issue:858", + "issue:8871", + "issue:8915", + "issue:9112", + "issue:9248", + "issue:9476" + ], + "soft_pairs": [ + "issue:5075|issue:7239", + "issue:6442|issue:8871", + "issue:4557|issue:5029", + "issue:6353|issue:6371", + "issue:4232|issue:4234", + "issue:13137|issue:13261", + "issue:12436|issue:12482", + "issue:5712|issue:9248", + "issue:2294|issue:3787", + "issue:4615|issue:5603", + "issue:10722|issue:9112", + "issue:4619|issue:9476", + "issue:3040|issue:5992", + "issue:4557|issue:858", + "issue:2044|issue:2669", + "issue:2780|issue:6482", + "issue:5012|issue:5016", + "issue:7516|issue:7681", + "issue:6124|issue:8871", + "issue:2044|issue:5572", + "issue:6324|issue:8182", + "issue:2132|issue:2669", + "issue:4265|issue:8915", + "issue:4118|issue:8320", + "issue:5603|issue:6636", + "issue:4969|issue:5603", + "issue:2947|issue:6126" + ], + "prepared_review_unit_hash": "47e9b2c76d107d685e3e0503811621195cae0c6ba28adef8017000913a377e5c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 35818, + "estimated_input_tokens": 8955, + "estimated_eval_tokens": 18166 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous cluster of unrelated diffusers issues, with only a few true duplicate families. The strongest duplicate thread is the repeated \"Attempting to unscale FP16 gradients\" LoRA training failures; a separate exact kwarg regression around `offload_state_dict` also matches cleanly.", + "confidence": 0.69, + "canonical_issue_reason": "Issue 6442 is the best anchor for the recurring FP16-unscale LoRA training bug: it has the exact error text, is broadly framed, and matches the same failure reported in 6124 and 8871.", + "canonical_pr_reason": null, + "best_issue_reason": "6442 is the cleanest representative of a real duplicate family in this cluster, with a precise title and enough context to subsume the same training error reports; it is better as the canonical issue than the more one-off, script-specific reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5075", + "right": "issue:7239", + "accept": false, + "reason": "Both are SDXL shape-mismatch reports, but they involve different dimensions and workflows (prompt embeddings/refiner vs DreamBooth LoRA); not the same concrete bug." + }, + { + "left": "issue:6442", + "right": "issue:8871", + "accept": true, + "reason": "Same exact training error (`Attempting to unscale FP16 gradients`) in the same LoRA training family; these look like duplicate reports of the same bug." + }, + { + "left": "issue:4557", + "right": "issue:5029", + "accept": false, + "reason": "Different attribute errors on different objects; no shared underlying failure." + }, + { + "left": "issue:6353", + "right": "issue:6371", + "accept": false, + "reason": "Both mention controlnet examples, but the failures differ (training example issue vs controlnet_xs assert) and do not look mergeable into one fix." + }, + { + "left": "issue:4232", + "right": "issue:4234", + "accept": false, + "reason": "These are related feature requests/questions about instruct-pix2pix/controlnet, but they are not the same concrete bug or change request." + }, + { + "left": "issue:13137", + "right": "issue:13261", + "accept": true, + "reason": "Both describe the same FLUX.2-klein LoRA/LoKr loading problem; the titles differ slightly but point to the same underlying failure." + }, + { + "left": "issue:12436", + "right": "issue:12482", + "accept": true, + "reason": "Same `offload_state_dict` kwarg being passed into `CLIPTextModel`; this is the same bug stated with slightly different wording." + }, + { + "left": "issue:5712", + "right": "issue:9248", + "accept": false, + "reason": "Both are install/upgrade complaints, but the first is explicitly Windows/Python 3.12-specific while the second is generic; not enough to treat as the same bug." + }, + { + "left": "issue:2294", + "right": "issue:3787", + "accept": false, + "reason": "Different import errors for different symbols and different failure modes." + }, + { + "left": "issue:4615", + "right": "issue:5603", + "accept": false, + "reason": "Different missing imports (`StableDiffusionControlnetPipeline` vs `is_safetensors_available`); these are separate API breakages." + }, + { + "left": "issue:10722", + "right": "issue:9112", + "accept": false, + "reason": "Both are tensor-size mismatch errors, but they occur in different models/workflows with different shapes; too broad to merge." + }, + { + "left": "issue:4619", + "right": "issue:9476", + "accept": false, + "reason": "Both are dtype mismatch reports during LoRA training, but they involve different scripts, models, and dtype combinations." + }, + { + "left": "issue:3040", + "right": "issue:5992", + "accept": false, + "reason": "Both mention `__module__`-style attribute errors, but the actual failing objects and contexts differ; not the same bug." + }, + { + "left": "issue:4557", + "right": "issue:858", + "accept": false, + "reason": "Unrelated attribute errors on different objects (`super` getattr vs `Parameter.named_children`)." + }, + { + "left": "issue:2044", + "right": "issue:2669", + "accept": false, + "reason": "No shared concrete failure: DDP `dtype` access vs `NoneType.replace`." + }, + { + "left": "issue:2780", + "right": "issue:6482", + "accept": true, + "reason": "Same exact `Attempting to unscale FP16 gradients` failure in LoRA training, with the second being a variant of the same mixed-precision checkpoint/resume problem." + }, + { + "left": "issue:5012", + "right": "issue:5016", + "accept": false, + "reason": "Both concern text-encoder training in SDXL LoRA scripts, but they are separate script-specific reports and not clearly the same concrete bug/change." + }, + { + "left": "issue:7516", + "right": "issue:7681", + "accept": false, + "reason": "Completely unrelated failures: missing pipeline attribute vs OpenSSL import-chain error." + }, + { + "left": "issue:6124", + "right": "issue:8871", + "accept": true, + "reason": "Both report the exact same FP16 unscale error in LoRA/DreamBooth training; clear duplicate family." + }, + { + "left": "issue:2044", + "right": "issue:5572", + "accept": false, + "reason": "Different failures and different objects; no duplicate signal." + }, + { + "left": "issue:6324", + "right": "issue:8182", + "accept": false, + "reason": "`bool.__module__` attribute error and logger typo are unrelated." + }, + { + "left": "issue:2132", + "right": "issue:2669", + "accept": false, + "reason": "Different runtime errors in different code paths; no same underlying bug." + }, + { + "left": "issue:4265", + "right": "issue:8915", + "accept": false, + "reason": "Both are import errors, but for different pipeline symbols and unrelated API surfaces." + }, + { + "left": "issue:4118", + "right": "issue:8320", + "accept": false, + "reason": "Different attribute errors involving `AutoencoderKL`; not the same bug." + }, + { + "left": "issue:5603", + "right": "issue:6636", + "accept": false, + "reason": "Both are import-name failures from `diffusers.utils`, but they affect different exported symbols and are not clearly the same issue." + }, + { + "left": "issue:4969", + "right": "issue:5603", + "accept": false, + "reason": "Different missing imports with different symbols; not the same failure." + }, + { + "left": "issue:2947", + "right": "issue:6126", + "accept": false, + "reason": "Unrelated model attribute errors (`load_attn_procs` vs `tile_sample_min_size`)." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet. The chosen canonical issue 6442 is a conservative and supported anchor for the repeated FP16-unscale LoRA training failures, and the other accepted soft edges are limited to close textual matches. The rejected pairs are generally handled cautiously, without overstating duplication from similarity alone." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 9, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10062", + "issue:10752", + "issue:11149", + "issue:11218", + "issue:11417", + "issue:1249", + "issue:12779", + "issue:1709", + "issue:1988", + "issue:2089", + "issue:2132", + "issue:2947", + "issue:3094", + "issue:3211", + "issue:3382", + "issue:3787", + "issue:3816", + "issue:3973", + "issue:4086", + "issue:4186", + "issue:4265", + "issue:4478", + "issue:4529", + "issue:4557", + "issue:4615", + "issue:4868", + "issue:4969", + "issue:5025", + "issue:5029", + "issue:5054", + "issue:539", + "issue:5518", + "issue:5919", + "issue:6086", + "issue:6098", + "issue:6126", + "issue:6324", + "issue:6442", + "issue:6444", + "issue:6741", + "issue:6842", + "issue:7330", + "issue:7854", + "issue:8307", + "issue:858", + "issue:8871", + "issue:9026" + ], + "soft_pairs": [ + "issue:1709|issue:6324", + "issue:11149|issue:9026", + "issue:11218|issue:4265", + "issue:1249|issue:2947", + "issue:11417|issue:12779", + "issue:6098|issue:6442", + "issue:2089|issue:3382", + "issue:3973|issue:539", + "issue:4529|issue:9026", + "issue:6086|issue:7330", + "issue:4868|issue:5029", + "issue:4557|issue:6126", + "issue:2947|issue:3211", + "issue:3787|issue:4615", + "issue:4478|issue:7854", + "issue:2947|issue:5518", + "issue:10062|issue:6444", + "issue:1988|issue:4478", + "issue:5054|issue:858", + "issue:2132|issue:5919", + "issue:2947|issue:858", + "issue:12779|issue:6741", + "issue:2947|issue:5029", + "issue:3816|issue:8307", + "issue:5025|issue:6842", + "issue:3094|issue:3382", + "issue:10752|issue:8871", + "issue:4086|issue:4186", + "issue:4969|issue:6842", + "issue:5029|issue:5054" + ], + "prepared_review_unit_hash": "e6af63249f54c248fc5f968d8763bc15874c65dd9677237d3c48bedb53b861f1", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 30, + "serialized_chars": 36069, + "estimated_input_tokens": 9018, + "estimated_eval_tokens": 18292 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous set of unrelated diffusers issues. The clear duplicate families are the FP16 gradient unscale bug, the half/float input-bias type mismatch runtime error, and the LoRA/PEFT peft_config AttributeError family only where the evidence is explicit enough.", + "confidence": 0.82, + "canonical_issue_reason": "issue:6442 is the most representative of the FP16 unscale failure cluster: it uses the exact shared error text and is the cleanest generic report among the variants.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6442 is the best global issue representative because it captures the recurring FP16 gradient unscale bug in the most generic form, without extra script-specific noise.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1709", + "right": "issue:6324", + "accept": false, + "reason": "Both are AttributeErrors, but they involve different missing attributes on different object types and do not look like the same bug." + }, + { + "left": "issue:11149", + "right": "issue:9026", + "accept": false, + "reason": "Both are unexpected-kwarg failures, but in different functions and with different signatures; same theme, not same defect." + }, + { + "left": "issue:11218", + "right": "issue:4265", + "accept": false, + "reason": "Both are import errors, but they are for different missing symbols in different modules." + }, + { + "left": "issue:1249", + "right": "issue:2947", + "accept": false, + "reason": "Different failures: ONNX numpy/device handling versus missing UNet load_attn_procs support." + }, + { + "left": "issue:11417", + "right": "issue:12779", + "accept": false, + "reason": "Different AttributeErrors in unrelated contexts: DDP dtype access versus a missing CLI argument." + }, + { + "left": "issue:6098", + "right": "issue:6442", + "accept": true, + "reason": "Same FP16 gradient unscale failure; the titles and reported error text align closely." + }, + { + "left": "issue:2089", + "right": "issue:3382", + "accept": false, + "reason": "Both mention OOM, but they are different training scripts and do not clearly share the same underlying bug." + }, + { + "left": "issue:3973", + "right": "issue:539", + "accept": false, + "reason": "Different unexpected keyword arguments on different APIs; not the same underlying change." + }, + { + "left": "issue:4529", + "right": "issue:9026", + "accept": false, + "reason": "Different kwarg regressions in different loader functions." + }, + { + "left": "issue:6086", + "right": "issue:7330", + "accept": true, + "reason": "Same FP16 unscale gradients failure, reported in another training script." + }, + { + "left": "issue:4868", + "right": "issue:5029", + "accept": false, + "reason": "Both are AttributeErrors, but on different objects with unrelated missing fields." + }, + { + "left": "issue:4557", + "right": "issue:6126", + "accept": false, + "reason": "Different missing-attribute problems in unrelated model code paths." + }, + { + "left": "issue:2947", + "right": "issue:3211", + "accept": false, + "reason": "Different missing attributes in different model classes; no shared bug is evident." + }, + { + "left": "issue:3787", + "right": "issue:4615", + "accept": false, + "reason": "Separate import issues for different pipeline symbols." + }, + { + "left": "issue:4478", + "right": "issue:7854", + "accept": true, + "reason": "Same half/float input-bias type mismatch runtime error; the failure text matches closely." + }, + { + "left": "issue:2947", + "right": "issue:5518", + "accept": false, + "reason": "Different missing attributes in different model components." + }, + { + "left": "issue:10062", + "right": "issue:6444", + "accept": false, + "reason": "The titles both mention peft_config, but the packet does not establish that they are the same DreamBooth SDXL/checkpointing code path, so this is too weak to merge." + }, + { + "left": "issue:12779", + "right": "issue:6741", + "accept": false, + "reason": "Different missing CLI arguments in different scripts." + }, + { + "left": "issue:2947", + "right": "issue:5029", + "accept": false, + "reason": "Different missing attributes on different model objects with no clear shared path." + }, + { + "left": "issue:3816", + "right": "issue:8307", + "accept": false, + "reason": "Different import errors for unrelated classes." + }, + { + "left": "issue:5025", + "right": "issue:6842", + "accept": false, + "reason": "Different missing imports from different modules." + }, + { + "left": "issue:3094", + "right": "issue:3382", + "accept": false, + "reason": "Both are OOM reports, but they describe different training setups and do not clearly share the same bug." + }, + { + "left": "issue:10752", + "right": "issue:8871", + "accept": true, + "reason": "Same FP16 gradient unscale failure, described as the same bug in another LoRA training report." + }, + { + "left": "issue:4086", + "right": "issue:4186", + "accept": false, + "reason": "Different SDXL/controlnet/inpaint training problems; not the same defect." + }, + { + "left": "issue:4969", + "right": "issue:6842", + "accept": false, + "reason": "Different import errors involving different missing symbols." + }, + { + "left": "issue:5029", + "right": "issue:5054", + "accept": false, + "reason": "Different missing attributes on different model objects." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "Mostly grounded, but one soft-edge accept is too strong: issue:10062 vs issue:6444 only share the peft_config AttributeError in the titles. The packet does not establish that they are the same DreamBooth SDXL/checkpointing code path, so that verdict is more assertive than the evidence supports. The other pair calls look conservative." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 10, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10062", + "issue:10337", + "issue:10472", + "issue:10989", + "issue:11149", + "issue:11435", + "issue:11973", + "issue:12492", + "issue:12547", + "issue:1544", + "issue:170", + "issue:1709", + "issue:1842", + "issue:2132", + "issue:2669", + "issue:3015", + "issue:3202", + "issue:3569", + "issue:3728", + "issue:3787", + "issue:3816", + "issue:384", + "issue:3973", + "issue:409", + "issue:4410", + "issue:4615", + "issue:4868", + "issue:4969", + "issue:5054", + "issue:5466", + "issue:6086", + "issue:6124", + "issue:6139", + "issue:6363", + "issue:6442", + "issue:6482", + "issue:672", + "issue:6858", + "issue:7516", + "issue:7593", + "issue:8182", + "issue:8463", + "issue:859", + "issue:8915", + "issue:9026", + "issue:9645", + "issue:9973" + ], + "soft_pairs": [ + "issue:4410|issue:5466", + "issue:1709|issue:5054", + "issue:6124|issue:6482", + "issue:10337|issue:10989", + "issue:6442|issue:9973", + "issue:6124|issue:6363", + "issue:3816|issue:7516", + "issue:10472|issue:11149", + "issue:1544|issue:2669", + "issue:4969|issue:9645", + "issue:10062|issue:6139", + "issue:3973|issue:9026", + "issue:859|issue:9026", + "issue:7593|issue:8463", + "issue:4615|issue:4969", + "issue:1544|issue:2132", + "issue:11973|issue:12547", + "issue:11435|issue:3787", + "issue:4615|issue:8915", + "issue:4868|issue:6139", + "issue:170|issue:1842", + "issue:3569|issue:3728", + "issue:1709|issue:8182", + "issue:384|issue:6858", + "issue:12492|issue:3816", + "issue:1709|issue:409", + "issue:3202|issue:5054", + "issue:6086|issue:6124", + "issue:3015|issue:672" + ], + "prepared_review_unit_hash": "4c67400215ebeffbcda3220ae12ccf18d91aaa5fd9ad3f21999b3782ccc5c424", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 29, + "serialized_chars": 35857, + "estimated_input_tokens": 8965, + "estimated_eval_tokens": 18186 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a loose similarity cluster, not a single duplicate set. The only clear duplicate families are the repeated \"Attempting to unscale FP16 gradients\" reports, the repeated \"--instance_prompt\" Flux Kontext reports, and the FLUX quantized-transformers loading failures.", + "confidence": 0.78, + "canonical_issue_reason": "Issue 6442 is the cleanest umbrella for the repeated \"Attempting to unscale FP16 gradients.\" failures and is the most generic, reusable representative of that bug family.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6442 best represents the most recurring concrete bug pattern in this cluster: the FP16 gradient unscale failure appearing across multiple training-script variants.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4410", + "right": "issue:5466", + "accept": false, + "reason": "Different failures: UNet shape mismatch vs LoRA weight loading shape mismatch; same broad area but not the same bug." + }, + { + "left": "issue:1709", + "right": "issue:5054", + "accept": false, + "reason": "Unrelated attribute errors on different objects/methods; no shared concrete code path." + }, + { + "left": "issue:6124", + "right": "issue:6482", + "accept": true, + "reason": "Same FP16 gradient-unscale error in closely related DreamBooth/LoRA SDXL training flows." + }, + { + "left": "issue:10337", + "right": "issue:10989", + "accept": true, + "reason": "Both describe FLUX adapter loading failing when transformers are quantized; same underlying quantized-load bug." + }, + { + "left": "issue:6442", + "right": "issue:9973", + "accept": true, + "reason": "Exact same \"Attempting to unscale FP16 gradients\" bug family in training scripts." + }, + { + "left": "issue:6124", + "right": "issue:6363", + "accept": true, + "reason": "Same exact FP16 gradient-unscale failure, just reported from a different LoRA training entry point." + }, + { + "left": "issue:3816", + "right": "issue:7516", + "accept": false, + "reason": "Different missing-transformers-attribute failures (CLIPImageProcessor vs DepthNormalEstimationPipeline)." + }, + { + "left": "issue:10472", + "right": "issue:11149", + "accept": false, + "reason": "Different bugs: unexpected lora_bias kwarg vs unexpected dtype kwarg in quantizer code." + }, + { + "left": "issue:1544", + "right": "issue:2669", + "accept": false, + "reason": "Both are generic attribute errors, but the missing attributes and code paths are unrelated." + }, + { + "left": "issue:4969", + "right": "issue:9645", + "accept": false, + "reason": "Both are import errors, but they involve different symbols and different failure causes." + }, + { + "left": "issue:10062", + "right": "issue:6139", + "accept": false, + "reason": "Different UNet attribute failures: missing peft_config vs missing attn_processors." + }, + { + "left": "issue:3973", + "right": "issue:9026", + "accept": false, + "reason": "Different unexpected-kwarg problems in different functions." + }, + { + "left": "issue:859", + "right": "issue:9026", + "accept": false, + "reason": "Different constructor/load kwargs; same error shape but not the same bug." + }, + { + "left": "issue:7593", + "right": "issue:8463", + "accept": false, + "reason": "Both are NoneType attribute errors, but on different objects and unrelated code paths." + }, + { + "left": "issue:4615", + "right": "issue:4969", + "accept": false, + "reason": "Different import targets from diffusers; not the same missing symbol." + }, + { + "left": "issue:1544", + "right": "issue:2132", + "accept": false, + "reason": "Completely different failures: scheduler API mismatch vs Accelerator trackers attribute." + }, + { + "left": "issue:11973", + "right": "issue:12547", + "accept": true, + "reason": "Same Flux Kontext issue: the script requires --instance_prompt in both reports." + }, + { + "left": "issue:11435", + "right": "issue:3787", + "accept": false, + "reason": "Both are import errors, but they reference different modules/symbols and different root causes." + }, + { + "left": "issue:4615", + "right": "issue:8915", + "accept": false, + "reason": "Both are import errors, but one is ControlNet pipeline and the other is AutoPipelineForText2Image; not the same bug." + }, + { + "left": "issue:4868", + "right": "issue:6139", + "accept": false, + "reason": "Different attribute errors on different objects; no evidence of a shared fix." + }, + { + "left": "issue:170", + "right": "issue:1842", + "accept": true, + "reason": "Same unexpected-eta error in the Stable Diffusion step call." + }, + { + "left": "issue:3569", + "right": "issue:3728", + "accept": false, + "reason": "Two separate new-pipeline requests, not duplicates." + }, + { + "left": "issue:1709", + "right": "issue:8182", + "accept": false, + "reason": "Unrelated attribute errors on Tensor vs Logger." + }, + { + "left": "issue:384", + "right": "issue:6858", + "accept": false, + "reason": "Both mention attribute errors, but the failing objects and contexts are unrelated." + }, + { + "left": "issue:12492", + "right": "issue:3816", + "accept": false, + "reason": "Both are transformers attribute issues, but they are different missing names and not clearly the same code-path problem." + }, + { + "left": "issue:1709", + "right": "issue:409", + "accept": false, + "reason": "Different missing-method failures in different APIs." + }, + { + "left": "issue:3202", + "right": "issue:5054", + "accept": false, + "reason": "Different pipeline attribute gaps; no shared underlying bug." + }, + { + "left": "issue:6086", + "right": "issue:6124", + "accept": true, + "reason": "Same FP16 gradient-unscale error across LoRA training examples; plausibly one fix covers both." + }, + { + "left": "issue:3015", + "right": "issue:672", + "accept": false, + "reason": "Related conversion topics, but one is ControlNet-specific and the other is a broader ckpt conversion request." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The rejected pairs are mostly justified by different concrete error signatures or unrelated code paths, and the accepted pairs are limited to clearly recurring families in the packet (FP16 unscale failures, --instance_prompt, eta keyword, and quantized-transformer load failures)." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 11, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10062", + "issue:10180", + "issue:10512", + "issue:11435", + "issue:11978", + "issue:1249", + "issue:13015", + "issue:1544", + "issue:1817", + "issue:1991", + "issue:2044", + "issue:2294", + "issue:2669", + "issue:2947", + "issue:3040", + "issue:3202", + "issue:3211", + "issue:3638", + "issue:3728", + "issue:3973", + "issue:409", + "issue:4265", + "issue:4557", + "issue:4615", + "issue:5025", + "issue:5246", + "issue:5518", + "issue:5572", + "issue:5578", + "issue:5603", + "issue:5897", + "issue:5919", + "issue:6086", + "issue:6098", + "issue:6139", + "issue:6842", + "issue:7891", + "issue:7931", + "issue:8307", + "issue:858", + "issue:8833", + "issue:8975", + "issue:9187", + "issue:9628", + "issue:9645", + "issue:9873", + "issue:9895" + ], + "soft_pairs": [ + "issue:2294|issue:8975", + "issue:1991|issue:5897", + "issue:5025|issue:9645", + "issue:6098|issue:9628", + "issue:2044|issue:5919", + "issue:5578|issue:8833", + "issue:6086|issue:9628", + "issue:7931|issue:9187", + "issue:11435|issue:5603", + "issue:13015|issue:9895", + "issue:1817|issue:3973", + "issue:5246|issue:8307", + "issue:1249|issue:4557", + "issue:3638|issue:3728", + "issue:6842|issue:9645", + "issue:10180|issue:10512", + "issue:1544|issue:5572", + "issue:10062|issue:2947", + "issue:1544|issue:2947", + "issue:2669|issue:2947", + "issue:4265|issue:4615", + "issue:13015|issue:7891", + "issue:3040|issue:3211", + "issue:2947|issue:409", + "issue:4557|issue:6139", + "issue:11978|issue:9873", + "issue:2947|issue:3202", + "issue:5518|issue:858" + ], + "prepared_review_unit_hash": "095f40d9ea6986d0cd036195504f536c04230a5e954a0907ebe4607637b15e79", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 35372, + "estimated_input_tokens": 8843, + "estimated_eval_tokens": 17942 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose set of similar-looking diffusers issues rather than true duplicates. No soft-edge pair is supported strongly enough to accept; the IP-Adapter pair (#7931/#9187) in particular has different failure surfaces and lacks evidence of a shared root cause.", + "confidence": 0.84, + "canonical_issue_reason": "No single issue is a perfect canonical for the whole cluster; #2947 is the closest representative of the recurring UNet/LoRA attribute-error subgroup and is the earliest central report in that smaller theme.", + "canonical_pr_reason": null, + "best_issue_reason": "#2947 is the best global representative among these issues because it anchors the common UNet/LoRA API-compatibility pattern more clearly than the other items, which are mostly separate import/config/device problems.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2294", + "right": "issue:8975", + "accept": false, + "reason": "Both are import errors, but they fail on different missing symbols in different modules." + }, + { + "left": "issue:1991", + "right": "issue:5897", + "accept": false, + "reason": "Both mention device mismatches, but they involve different workflows and likely different root causes." + }, + { + "left": "issue:5025", + "right": "issue:9645", + "accept": false, + "reason": "Different missing exports from different namespaces; no shared concrete fix." + }, + { + "left": "issue:6098", + "right": "issue:9628", + "accept": false, + "reason": "Same broad FP16 unscale message, but different scripts/model setups and no evidence of one fix." + }, + { + "left": "issue:2044", + "right": "issue:5919", + "accept": false, + "reason": "Different missing attributes on different object types; not the same bug." + }, + { + "left": "issue:5578", + "right": "issue:8833", + "accept": false, + "reason": "Both are missing file errors, but for different files and different model/package contexts." + }, + { + "left": "issue:6086", + "right": "issue:9628", + "accept": false, + "reason": "Shared error text, but the training setups differ enough that the same fix is not established." + }, + { + "left": "issue:7931", + "right": "issue:9187", + "accept": false, + "reason": "Both involve IP-Adapter, but the titles point to different failure surfaces and there is no packet evidence they share the same root cause or fix." + }, + { + "left": "issue:11435", + "right": "issue:5603", + "accept": false, + "reason": "Different missing imports from different parts of diffusers; unrelated symbols." + }, + { + "left": "issue:13015", + "right": "issue:9895", + "accept": false, + "reason": "Both are device mismatch errors, but on different models/hardware paths and not clearly the same bug." + }, + { + "left": "issue:1817", + "right": "issue:3973", + "accept": false, + "reason": "Both are unexpected keyword errors, but in different helper functions and code paths." + }, + { + "left": "issue:5246", + "right": "issue:8307", + "accept": false, + "reason": "Different missing attributes on the diffusers module; not the same issue." + }, + { + "left": "issue:1249", + "right": "issue:4557", + "accept": false, + "reason": "Completely different failures: ndarray `.device` versus `super().__getattr__`." + }, + { + "left": "issue:3638", + "right": "issue:3728", + "accept": false, + "reason": "Both are new-pipeline proposals, but for different models and different changes." + }, + { + "left": "issue:6842", + "right": "issue:9645", + "accept": false, + "reason": "Different missing pipeline/import symbols; same package, not the same fix." + }, + { + "left": "issue:10180", + "right": "issue:10512", + "accept": false, + "reason": "Both concern Flux LoRA loading, but the reported scenarios are different enough to avoid merging." + }, + { + "left": "issue:1544", + "right": "issue:5572", + "accept": false, + "reason": "Different missing attributes on different components." + }, + { + "left": "issue:10062", + "right": "issue:2947", + "accept": false, + "reason": "Both are UNet/LoRA-related attribute errors, but they fail on different methods and likely need different fixes." + }, + { + "left": "issue:1544", + "right": "issue:2947", + "accept": false, + "reason": "Scheduler `get_velocity` and UNet `load_attn_procs` are different components and different failures." + }, + { + "left": "issue:2669", + "right": "issue:2947", + "accept": false, + "reason": "`NoneType.replace` is unrelated to UNet attention-processor loading." + }, + { + "left": "issue:4265", + "right": "issue:4615", + "accept": false, + "reason": "Both are ControlNet-related import errors, but they reference different pipeline symbols and exports." + }, + { + "left": "issue:4557", + "right": "issue:6139", + "accept": false, + "reason": "Different attribute errors on different object types; no shared code path." + }, + { + "left": "issue:11978", + "right": "issue:9873", + "accept": false, + "reason": "Different pipeline feature requests for different models." + }, + { + "left": "issue:2947", + "right": "issue:3202", + "accept": false, + "reason": "`load_attn_procs` and `enable_vae_tiling` are unrelated missing methods on different pipeline classes." + }, + { + "left": "issue:5518", + "right": "issue:858", + "accept": false, + "reason": "Different attribute errors in different module types; not the same bug." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The writeup is mostly conservative, but it overstates the only accepted soft-edge pair. From the packet, issue:7931 and issue:9187 both involve IP-Adapter, yet the titles point to different failure surfaces (`ip_adapter_image_embeds` in SDXL ControlNet InpaintPipeline vs `image_encoder_folder=None` after a Kolors update), and there is no explicit evidence in the packet that they share the same root cause or fix. That makes the accept verdict too strong. The rest of the pair judgments look appropriately cautious, but this one unsupported accept is enough to reject." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 12, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10472", + "issue:11214", + "issue:11417", + "issue:11865", + "issue:12044", + "issue:1249", + "issue:12630", + "issue:1315", + "issue:1433", + "issue:1817", + "issue:2044", + "issue:2098", + "issue:2669", + "issue:2904", + "issue:2947", + "issue:3008", + "issue:3211", + "issue:3325", + "issue:384", + "issue:409", + "issue:4557", + "issue:4615", + "issue:4868", + "issue:5025", + "issue:5054", + "issue:5125", + "issue:5510", + "issue:5522", + "issue:5572", + "issue:6086", + "issue:6098", + "issue:6176", + "issue:6351", + "issue:6363", + "issue:6382", + "issue:6442", + "issue:6636", + "issue:6811", + "issue:7228", + "issue:7593", + "issue:8463", + "issue:858", + "issue:9278", + "issue:9476", + "issue:9790", + "issue:9973" + ], + "soft_pairs": [ + "issue:3325|issue:5125", + "issue:3211|issue:4557", + "issue:11417|issue:4868", + "issue:6176|issue:6382", + "issue:12630|issue:2904", + "issue:9278|issue:9790", + "issue:1315|issue:6636", + "issue:12044|issue:1433", + "issue:409|issue:858", + "issue:6363|issue:6442", + "issue:1249|issue:5054", + "issue:10472|issue:1817", + "issue:2669|issue:5572", + "issue:10010|issue:6811", + "issue:2044|issue:6351", + "issue:2044|issue:384", + "issue:11214|issue:5522", + "issue:6098|issue:9973", + "issue:1249|issue:8463", + "issue:2098|issue:3008", + "issue:4615|issue:5025", + "issue:11865|issue:2947", + "issue:6086|issue:6098", + "issue:409|issue:5054", + "issue:7228|issue:7593", + "issue:5510|issue:9476" + ], + "prepared_review_unit_hash": "12a59477cb507f962dabf77c3435a9c97764dc5c891bd90cf48261590398c71b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 35150, + "estimated_input_tokens": 8788, + "estimated_eval_tokens": 17832 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous set of diffusers issues with a few clear duplicate mini-clusters. I accepted only the exact same-error pairs or very close same-script duplicates; the rest are too broad or point to different code paths.", + "confidence": 0.78, + "canonical_issue_reason": "Issue 6363 is the strongest representative of the FP16-gradient duplicate set: it has the clearest problem statement and the richest discussion around the same exact failure mode.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6363 is the best overall issue to anchor this cluster because it matches multiple accepted duplicates and describes the core error cleanly.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3325", + "right": "issue:5125", + "accept": false, + "reason": "Both are CUDA failures, but they involve different scripts and different error conditions; not the same concrete bug." + }, + { + "left": "issue:3211", + "right": "issue:4557", + "accept": false, + "reason": "Different missing-attribute errors on different objects; only superficial similarity." + }, + { + "left": "issue:11417", + "right": "issue:4868", + "accept": false, + "reason": "Unrelated attribute errors in different code paths." + }, + { + "left": "issue:6176", + "right": "issue:6382", + "accept": false, + "reason": "One is LoRA weight loading after training, the other is an IP-adapter key error during SDXL/LCM use; not the same issue." + }, + { + "left": "issue:12630", + "right": "issue:2904", + "accept": false, + "reason": "Different AudioLDM-related failures with different missing attributes and root causes." + }, + { + "left": "issue:9278", + "right": "issue:9790", + "accept": true, + "reason": "Both describe the same FLUX.1-dev DreamBooth multigpu training problem and appear to be duplicate reports of the same workflow failure." + }, + { + "left": "issue:1315", + "right": "issue:6636", + "accept": false, + "reason": "Both are import errors from diffusers.utils, but they are different missing symbols and likely different breakages." + }, + { + "left": "issue:12044", + "right": "issue:1433", + "accept": false, + "reason": "Different attribute errors on different types; not the same bug." + }, + { + "left": "issue:409", + "right": "issue:858", + "accept": false, + "reason": "These failures are unrelated and arise from different objects and APIs." + }, + { + "left": "issue:6363", + "right": "issue:6442", + "accept": true, + "reason": "Same exact FP16 gradient unscale error; clearly duplicate reports of the same training problem." + }, + { + "left": "issue:1249", + "right": "issue:5054", + "accept": false, + "reason": "Different pipeline attribute failures with no shared concrete code path." + }, + { + "left": "issue:10472", + "right": "issue:1817", + "accept": false, + "reason": "Both are TypeErrors, but they concern different unexpected arguments and different workflows." + }, + { + "left": "issue:2669", + "right": "issue:5572", + "accept": false, + "reason": "Different AttributeErrors with different failing objects and causes." + }, + { + "left": "issue:10010", + "right": "issue:6811", + "accept": false, + "reason": "Both are 404s for model_index.json, but for different models/examples; same symptom, not the same underlying issue." + }, + { + "left": "issue:2044", + "right": "issue:6351", + "accept": false, + "reason": "Both involve DDP-wrapped models, but they fail on different missing attributes and code paths." + }, + { + "left": "issue:2044", + "right": "issue:384", + "accept": false, + "reason": "Completely different attribute errors; not duplicates." + }, + { + "left": "issue:11214", + "right": "issue:5522", + "accept": false, + "reason": "Different TypeErrors from different APIs and subsystems." + }, + { + "left": "issue:6098", + "right": "issue:9973", + "accept": true, + "reason": "Exact same FP16 gradient unscale failure; duplicate training error report." + }, + { + "left": "issue:1249", + "right": "issue:8463", + "accept": false, + "reason": "Different runtime failures in different pipelines; no shared concrete bug." + }, + { + "left": "issue:2098", + "right": "issue:3008", + "accept": true, + "reason": "Both report the same invalid torch.randn argument combination in the community pipeline path." + }, + { + "left": "issue:4615", + "right": "issue:5025", + "accept": false, + "reason": "Different import errors involving different symbols; not the same bug." + }, + { + "left": "issue:11865", + "right": "issue:2947", + "accept": false, + "reason": "Both are missing-method errors on model classes, but they are different methods and different feature paths." + }, + { + "left": "issue:6086", + "right": "issue:6098", + "accept": true, + "reason": "Same FP16-gradient unscale error, with one issue giving extra training-script context." + }, + { + "left": "issue:409", + "right": "issue:5054", + "accept": false, + "reason": "Different missing-attribute failures on different pipeline classes." + }, + { + "left": "issue:7228", + "right": "issue:7593", + "accept": false, + "reason": "Different model-loading/runtime errors on different pipelines; not the same underlying issue." + }, + { + "left": "issue:5510", + "right": "issue:9476", + "accept": false, + "reason": "Both are dtype mismatch errors, but they occur in different pipelines and likely different code paths." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The cluster summary is grounded in the packet and the conservative stance is appropriate. The accepted duplicate mini-clusters are well supported by the titles and activity in the packet: the repeated FP16-gradient reports, the FLUX.1-dev multigpu DreamBooth pair, and the torch.randn invalid-arguments pair. The rejected pairs are phrased cautiously and do not overclaim sameness from superficial symptom overlap. No mergeability issue appears here since this is an issue cluster, not a PR pair." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 13, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11218", + "issue:11435", + "issue:11581", + "issue:12436", + "issue:1249", + "issue:12778", + "issue:13015", + "issue:1315", + "issue:1544", + "issue:1552", + "issue:1817", + "issue:1875", + "issue:1976", + "issue:1991", + "issue:2044", + "issue:2669", + "issue:2904", + "issue:2947", + "issue:3124", + "issue:3787", + "issue:409", + "issue:4229", + "issue:4456", + "issue:4478", + "issue:4557", + "issue:4969", + "issue:5259", + "issue:5578", + "issue:5603", + "issue:5805", + "issue:5919", + "issue:6124", + "issue:6126", + "issue:6139", + "issue:6146", + "issue:6442", + "issue:6444", + "issue:6454", + "issue:6482", + "issue:6858", + "issue:7593", + "issue:7891", + "issue:8871", + "issue:8915", + "issue:8975", + "issue:9026", + "issue:9430", + "issue:9476" + ], + "soft_pairs": [ + "issue:6124|issue:6454", + "issue:1817|issue:9026", + "issue:4456|issue:6139", + "issue:5805|issue:9476", + "issue:4969|issue:8915", + "issue:11581|issue:12436", + "issue:1544|issue:5919", + "issue:2904|issue:7593", + "issue:5603|issue:8915", + "issue:6442|issue:6482", + "issue:3787|issue:8975", + "issue:1552|issue:3124", + "issue:1976|issue:5578", + "issue:4229|issue:6146", + "issue:2669|issue:6858", + "issue:1544|issue:4557", + "issue:409|issue:4557", + "issue:1991|issue:7891", + "issue:13015|issue:1991", + "issue:5259|issue:5578", + "issue:12778|issue:6444", + "issue:1875|issue:4478", + "issue:11435|issue:8915", + "issue:2947|issue:9430", + "issue:11218|issue:1315", + "issue:2044|issue:6126", + "issue:6454|issue:8871", + "issue:1249|issue:409" + ], + "prepared_review_unit_hash": "6784066cc65705e40e41830262006ed0cd2605d299ca95cb0419bbced6fe2ee7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 36126, + "estimated_input_tokens": 9032, + "estimated_eval_tokens": 18320 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous false positives. The only clear duplicate family is the repeated \"Attempting to unscale FP16 gradients\" reports; the rest differ by symbol, pipeline, or failure mode.", + "confidence": 0.92, + "canonical_issue_reason": "6442 is the best anchor for the only real duplicate subcluster: it is the broadest FP16-gradient report and the later matching reports are narrower reposts or repro variants.", + "canonical_pr_reason": null, + "best_issue_reason": "6442 is the strongest global issue representative here because it captures the recurring FP16-gradient failure family, while the other items do not cohere into one bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6124", + "right": "issue:6454", + "accept": true, + "reason": "Same exact FP16-gradient unscale failure in the DreamBooth/LoRA training flow." + }, + { + "left": "issue:1817", + "right": "issue:9026", + "accept": false, + "reason": "Both are training-API errors, but they involve different unexpected arguments and different code paths." + }, + { + "left": "issue:4456", + "right": "issue:6139", + "accept": false, + "reason": "Different LoRA-related attribute failures: ModuleList indexing vs missing attn_processors." + }, + { + "left": "issue:5805", + "right": "issue:9476", + "accept": false, + "reason": "Both are dtype mismatches, but they occur in different pipelines/models and are not the same concrete bug." + }, + { + "left": "issue:4969", + "right": "issue:8915", + "accept": false, + "reason": "Different missing imports: CrossAttention vs AutoPipelineForText2Image." + }, + { + "left": "issue:11581", + "right": "issue:12436", + "accept": false, + "reason": "Different constructor keyword errors affecting different model classes and settings." + }, + { + "left": "issue:1544", + "right": "issue:5919", + "accept": false, + "reason": "Unrelated failures: missing scheduler method vs missing LoRA layer method." + }, + { + "left": "issue:2904", + "right": "issue:7593", + "accept": false, + "reason": "Different pipeline failures with unrelated null/attribute problems." + }, + { + "left": "issue:5603", + "right": "issue:8915", + "accept": false, + "reason": "Both are import errors, but for different symbols and different underlying causes." + }, + { + "left": "issue:6442", + "right": "issue:6482", + "accept": true, + "reason": "Same FP16-gradient unscale error; 6482 is a checkpoint-resume repro of the same training bug." + }, + { + "left": "issue:3787", + "right": "issue:8975", + "accept": false, + "reason": "Different import failures involving different modules and symbols." + }, + { + "left": "issue:1552", + "right": "issue:3124", + "accept": false, + "reason": "Attention slicing support and model conversion are unrelated bugs." + }, + { + "left": "issue:1976", + "right": "issue:5578", + "accept": false, + "reason": "Both mention model file lookup, but one is a tokenizer path issue and the other is a missing model_index.json in a different context." + }, + { + "left": "issue:4229", + "right": "issue:6146", + "accept": false, + "reason": "Both involve multi-GPU training, but they are different scripts and failure descriptions." + }, + { + "left": "issue:2669", + "right": "issue:6858", + "accept": false, + "reason": "Different attribute errors in different ControlNet-related code paths." + }, + { + "left": "issue:1544", + "right": "issue:4557", + "accept": false, + "reason": "Different missing-attribute failures with no shared concrete mechanism." + }, + { + "left": "issue:409", + "right": "issue:4557", + "accept": false, + "reason": "Different symptoms: missing enable_attention_slicing vs super missing __getattr__." + }, + { + "left": "issue:1991", + "right": "issue:7891", + "accept": false, + "reason": "Same broad device-mismatch symptom, but different pipelines and no evidence they share the same code path." + }, + { + "left": "issue:13015", + "right": "issue:1991", + "accept": false, + "reason": "Both are device mismatches, but one is NPU-specific QwenImageEditPlus and the other is checkpoint merger on a different stack." + }, + { + "left": "issue:5259", + "right": "issue:5578", + "accept": false, + "reason": "Both concern model loading, but one is a missing model_index.json directory issue and the other is a different OSError variant." + }, + { + "left": "issue:12778", + "right": "issue:6444", + "accept": false, + "reason": "Different attribute errors in different FLUX/CLIP training code paths." + }, + { + "left": "issue:1875", + "right": "issue:4478", + "accept": false, + "reason": "Both are mixed-precision/runtime dtype problems, but they arise in different pipelines and are not the same bug." + }, + { + "left": "issue:11435", + "right": "issue:8915", + "accept": false, + "reason": "Different missing pipeline imports for different classes." + }, + { + "left": "issue:2947", + "right": "issue:9430", + "accept": false, + "reason": "Different None/attribute errors with no shared concrete failing object." + }, + { + "left": "issue:11218", + "right": "issue:1315", + "accept": false, + "reason": "Different missing imports from different diffusers modules." + }, + { + "left": "issue:2044", + "right": "issue:6126", + "accept": false, + "reason": "Different attribute errors on different objects: DDP dtype vs VAE tile_sample_min_size." + }, + { + "left": "issue:6454", + "right": "issue:8871", + "accept": true, + "reason": "Same exact FP16-gradient unscale failure; 8871 is a later duplicate report." + }, + { + "left": "issue:1249", + "right": "issue:409", + "accept": false, + "reason": "Different failures: ONNX numpy/device handling vs attention-slicing attribute availability." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative: the only clearly supported duplicate family is the FP16-gradient unscale reports, and the accepted soft edges are well-backed by matching titles/body context. No pair appears overstated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 14, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10472", + "issue:11581", + "issue:11865", + "issue:12126", + "issue:12195", + "issue:12494", + "issue:12779", + "issue:1709", + "issue:1991", + "issue:2132", + "issue:2669", + "issue:2995", + "issue:3202", + "issue:3211", + "issue:3290", + "issue:3382", + "issue:384", + "issue:4086", + "issue:409", + "issue:4265", + "issue:4551", + "issue:4557", + "issue:5025", + "issue:5054", + "issue:5081", + "issue:539", + "issue:5518", + "issue:5572", + "issue:5603", + "issue:6363", + "issue:6444", + "issue:6697", + "issue:6858", + "issue:7239", + "issue:7593", + "issue:8463", + "issue:8537", + "issue:858", + "issue:8637", + "issue:8863", + "issue:8915", + "issue:9026", + "issue:9055", + "issue:9278", + "issue:9450", + "issue:9726", + "issue:9727", + "issue:9973" + ], + "soft_pairs": [ + "issue:2669|issue:384", + "issue:12195|issue:8537", + "issue:539|issue:9026", + "issue:5603|issue:8637", + "issue:6363|issue:9973", + "issue:12126|issue:8463", + "issue:3382|issue:6697", + "issue:12494|issue:7239", + "issue:5025|issue:8915", + "issue:409|issue:7593", + "issue:3290|issue:5054", + "issue:4265|issue:9055", + "issue:4086|issue:4551", + "issue:1709|issue:858", + "issue:5572|issue:6858", + "issue:1991|issue:9450", + "issue:11865|issue:4557", + "issue:2669|issue:3211", + "issue:1709|issue:3211", + "issue:9278|issue:9727", + "issue:2995|issue:5081", + "issue:12779|issue:6444", + "issue:10472|issue:11581", + "issue:3202|issue:5518", + "issue:2132|issue:5572", + "issue:3290|issue:409", + "issue:4265|issue:5603", + "issue:8637|issue:8915", + "issue:8463|issue:8863", + "issue:9278|issue:9726" + ], + "prepared_review_unit_hash": "62c3f700d248462d4eb1612d61ea02674a5fce00b88b8e128ca2886403fe59e5", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36782, + "estimated_input_tokens": 9196, + "estimated_eval_tokens": 18648 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set; it contains many unrelated diffusers issues that only share broad error wording. All soft edges should be rejected.", + "confidence": 0.94, + "canonical_issue_reason": "issue:12494 is the most recent, open, and detailed report, so it is the best single representative if one must be chosen for the mixed cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12494 has the strongest standalone context and is the most current user-facing regression report, but it does not match the others as the same bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2669", + "right": "issue:384", + "accept": false, + "reason": "Different failures in different code paths: NoneType.replace vs DiagonalGaussianDistribution.latent_dist." + }, + { + "left": "issue:12195", + "right": "issue:8537", + "accept": false, + "reason": "Unrelated runtime incompatibilities: torch.library.custom_op vs torch.float8_e4m3fn." + }, + { + "left": "issue:539", + "right": "issue:9026", + "accept": false, + "reason": "Both are TypeError-style version mismatches, but for different APIs and packages." + }, + { + "left": "issue:5603", + "right": "issue:8637", + "accept": false, + "reason": "Different import errors involving different symbols: is_safetensors_available vs PixArtSigmaPipeline." + }, + { + "left": "issue:6363", + "right": "issue:9973", + "accept": false, + "reason": "Both mention FP16 gradient scaling, but they are separate dreambooth LoRA reports with no evidence of the same bug." + }, + { + "left": "issue:12126", + "right": "issue:8463", + "accept": false, + "reason": "Different errors and components: cache_context during wan2.2 switching vs tokenize in InstructP2P-SDXL." + }, + { + "left": "issue:3382", + "right": "issue:6697", + "accept": false, + "reason": "Both are OOM-related training reports, but one is multi-GPU text-to-image and the other is SDXL LoRA; not the same concrete bug." + }, + { + "left": "issue:12494", + "right": "issue:7239", + "accept": false, + "reason": "Both are matmul shape errors, but the reported tensor dimensions and training setups differ." + }, + { + "left": "issue:5025", + "right": "issue:8915", + "accept": false, + "reason": "Different missing imports from different modules: randn_tensor vs AutoPipelineForText2Image." + }, + { + "left": "issue:409", + "right": "issue:7593", + "accept": false, + "reason": "Different missing attributes on different objects: enable_attention_slicing vs image_projection_layers." + }, + { + "left": "issue:3290", + "right": "issue:5054", + "accept": false, + "reason": "Both are NoneType/attribute issues, but flush and final_offload_hook are unrelated." + }, + { + "left": "issue:4265", + "right": "issue:9055", + "accept": false, + "reason": "Both are import errors, but for different classes from different namespaces." + }, + { + "left": "issue:4086", + "right": "issue:4551", + "accept": false, + "reason": "Different problems: one is ControlNet training on SDXL 0.9, the other is a DreamBooth crash on SDXL 1.0." + }, + { + "left": "issue:1709", + "right": "issue:858", + "accept": false, + "reason": "Different ONNX pipeline Tensor.astype issue vs Parameter.named_children issue." + }, + { + "left": "issue:5572", + "right": "issue:6858", + "accept": false, + "reason": "Different attribute failures in different subsystems: scaling_factor vs string.convert." + }, + { + "left": "issue:1991", + "right": "issue:9450", + "accept": false, + "reason": "Both mention device mismatch, but the checkpoint merger and FluxPipeline multi-GPU scenarios are different code paths." + }, + { + "left": "issue:11865", + "right": "issue:4557", + "accept": false, + "reason": "Unrelated attribute errors on different classes: CosmosTransformer3DModel.from_single_file vs super().__getattr__." + }, + { + "left": "issue:2669", + "right": "issue:3211", + "accept": false, + "reason": "Different attribute failures: NoneType.replace is unrelated to requires_safety_checker." + }, + { + "left": "issue:1709", + "right": "issue:3211", + "accept": false, + "reason": "Different missing attributes in unrelated pipelines and objects." + }, + { + "left": "issue:9278", + "right": "issue:9727", + "accept": false, + "reason": "Same FLUX/dreambooth area, but one is training and the other is save behavior on multi-GPU; not the same bug." + }, + { + "left": "issue:2995", + "right": "issue:5081", + "accept": false, + "reason": "Both are shape-mismatch errors, but they are distinct reports with different dimensions and likely different model setups." + }, + { + "left": "issue:12779", + "right": "issue:6444", + "accept": false, + "reason": "Different missing fields on Namespace vs CLIPTextModel.peft_config; not the same defect." + }, + { + "left": "issue:10472", + "right": "issue:11581", + "accept": false, + "reason": "Both are TypeError constructor-argument issues, but they involve different classes and different unsupported keywords." + }, + { + "left": "issue:3202", + "right": "issue:5518", + "accept": false, + "reason": "Different missing attributes on different objects and pipelines." + }, + { + "left": "issue:2132", + "right": "issue:5572", + "accept": false, + "reason": "Accelerator.trackers and FrozenDict.scaling_factor are unrelated failures." + }, + { + "left": "issue:3290", + "right": "issue:409", + "accept": false, + "reason": "Both are attribute errors, but on unrelated objects in different pipeline contexts." + }, + { + "left": "issue:4265", + "right": "issue:5603", + "accept": false, + "reason": "Both are import errors, but they target different missing symbols and are not the same underlying change." + }, + { + "left": "issue:8637", + "right": "issue:8915", + "accept": false, + "reason": "Both are import errors, but for different pipeline classes from different modules." + }, + { + "left": "issue:8463", + "right": "issue:8863", + "accept": false, + "reason": "Different attribute/shape errors in different features: tokenize vs tuple.shape." + }, + { + "left": "issue:9278", + "right": "issue:9726", + "accept": false, + "reason": "Both are FLUX.1-dev multi-GPU dreambooth reports, but one is training and the other is a separate problem report." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 15, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10154", + "issue:10180", + "issue:10472", + "issue:11651", + "issue:11732", + "issue:11865", + "issue:1249", + "issue:13015", + "issue:13300", + "issue:1433", + "issue:170", + "issue:2044", + "issue:2856", + "issue:2904", + "issue:3040", + "issue:3202", + "issue:3290", + "issue:3382", + "issue:3973", + "issue:409", + "issue:4456", + "issue:4529", + "issue:4557", + "issue:4868", + "issue:5029", + "issue:5054", + "issue:5081", + "issue:5082", + "issue:5171", + "issue:5518", + "issue:5897", + "issue:5919", + "issue:6086", + "issue:6126", + "issue:6351", + "issue:6454", + "issue:6482", + "issue:6869", + "issue:7114", + "issue:7228", + "issue:858", + "issue:859", + "issue:861", + "issue:8863", + "issue:8871", + "issue:9227", + "issue:9430", + "issue:9450" + ], + "soft_pairs": [ + "issue:2904|issue:5919", + "issue:13015|issue:9450", + "issue:10472|issue:4529", + "issue:13300|issue:9227", + "issue:2856|issue:861", + "issue:11865|issue:2904", + "issue:3290|issue:4557", + "issue:5081|issue:5082", + "issue:11732|issue:6869", + "issue:10154|issue:7228", + "issue:11865|issue:4868", + "issue:3040|issue:5518", + "issue:2044|issue:858", + "issue:3202|issue:409", + "issue:6086|issue:6454", + "issue:13015|issue:5897", + "issue:1433|issue:4557", + "issue:3290|issue:4868", + "issue:5054|issue:9430", + "issue:3382|issue:7114", + "issue:2044|issue:5029", + "issue:1249|issue:6126", + "issue:10154|issue:6351", + "issue:170|issue:859", + "issue:1249|issue:858", + "issue:5029|issue:8863", + "issue:6482|issue:8871", + "issue:10180|issue:11651", + "issue:3973|issue:5171", + "issue:4456|issue:6126" + ], + "prepared_review_unit_hash": "2a53dcfe9361e14c11e21f1ed8afd6dc07da019ba098a2895c12964bc4a057d5", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36697, + "estimated_input_tokens": 9175, + "estimated_eval_tokens": 18606 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a broad mix of unrelated issue reports that only share generic keywords like attribute errors, device mismatch, or unpacking failures. The only convincing duplicates are the repeated FP16 unscale LoRA-training reports.", + "confidence": 0.71, + "canonical_issue_reason": "Issue 6482 is the most specific of the repeated FP16-unscale LoRA-training failures: it names the script and the resume-from-checkpoint trigger, and it matches the same exact ValueError seen in the other LoRA training reports.", + "canonical_pr_reason": null, + "best_issue_reason": "6482 is the strongest anchor for the duplicate set because it has the clearest reproduction details while still matching the recurring FP16-unscale error signature.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2904", + "right": "issue:5919", + "accept": false, + "reason": "Both are attribute errors, but they hit different objects and code paths: AudioLDM scheduler vs LoRA layer loading." + }, + { + "left": "issue:13015", + "right": "issue:9450", + "accept": false, + "reason": "Both are device-placement failures, but one is NPU QwenImageEditPlus and the other is a Flux multi-GPU transformer setup; not the same bug." + }, + { + "left": "issue:10472", + "right": "issue:4529", + "accept": false, + "reason": "Different API mismatches in the LoRA loader: unexpected `lora_bias` vs unexpected `network_alpha`." + }, + { + "left": "issue:13300", + "right": "issue:9227", + "accept": false, + "reason": "Both mention FLUX, but one is CPU inference for SD3.5/FLUX and the other is a training-script problem; different workflows and failures." + }, + { + "left": "issue:2856", + "right": "issue:861", + "accept": false, + "reason": "Both concern converting Stable Diffusion to diffusers, but the reports are too generic and do not describe the same concrete failure." + }, + { + "left": "issue:11865", + "right": "issue:2904", + "accept": false, + "reason": "Unrelated errors in different components: `from_single_file` missing on CosmosTransformer3DModel vs `scheduler` missing in AudioLDM." + }, + { + "left": "issue:3290", + "right": "issue:4557", + "accept": false, + "reason": "Generic AttributeErrors, but on different objects (`flush` vs `__getattr__`) with no shared code path." + }, + { + "left": "issue:5081", + "right": "issue:5082", + "accept": false, + "reason": "Both are matmul shape errors, but the dimensions and likely root causes differ." + }, + { + "left": "issue:11732", + "right": "issue:6869", + "accept": false, + "reason": "Both are unpacking errors, but they occur in different utilities and reflect different code paths." + }, + { + "left": "issue:10154", + "right": "issue:7228", + "accept": false, + "reason": "Both are load-related attribute errors, but one is `load_lora_weights` and the other is a traced-model dtype issue." + }, + { + "left": "issue:11865", + "right": "issue:4868", + "accept": false, + "reason": "Different missing attributes on different objects; no evidence they share the same underlying bug." + }, + { + "left": "issue:3040", + "right": "issue:5518", + "accept": false, + "reason": "Different AttributeErrors in different contexts; only the broad pattern is shared." + }, + { + "left": "issue:2044", + "right": "issue:858", + "accept": false, + "reason": "Different wrapper/parameter attribute failures (`dtype` vs `named_children`); not the same issue." + }, + { + "left": "issue:3202", + "right": "issue:409", + "accept": false, + "reason": "Both are missing pipeline methods, but they are different APIs and likely different version gaps." + }, + { + "left": "issue:6086", + "right": "issue:6454", + "accept": true, + "reason": "Same exact FP16-unscale ValueError during LoRA training, with compatible repro context and a plausible shared fix." + }, + { + "left": "issue:13015", + "right": "issue:5897", + "accept": false, + "reason": "Both mention device mismatches, but they are different scenarios: NPU inference vs CUDA LoRA training." + }, + { + "left": "issue:1433", + "right": "issue:4557", + "accept": false, + "reason": "Different attribute failures in unrelated objects (`config` on OnnxRuntimeModel vs `__getattr__` on super)." + }, + { + "left": "issue:3290", + "right": "issue:4868", + "accept": false, + "reason": "Generic AttributeErrors, but the missing attributes and affected objects are different." + }, + { + "left": "issue:5054", + "right": "issue:9430", + "accept": false, + "reason": "Both are `NoneType` attribute errors, but the actual missing attributes and affected pipelines differ." + }, + { + "left": "issue:3382", + "right": "issue:7114", + "accept": false, + "reason": "Both are OOM reports, but they involve different scripts, models, and training setups." + }, + { + "left": "issue:2044", + "right": "issue:5029", + "accept": false, + "reason": "Different missing attributes on different model wrappers; no shared bug signal beyond generic AttributeError." + }, + { + "left": "issue:1249", + "right": "issue:6126", + "accept": false, + "reason": "A NumPy `device` attribute error in ONNX is unrelated to the VAE `tile_sample_min_size` issue." + }, + { + "left": "issue:10154", + "right": "issue:6351", + "accept": false, + "reason": "Both involve LoRA loading, but one is a generic `load_lora_weights` attribute issue and the other is DDP missing `disable_adapters`; different failures." + }, + { + "left": "issue:170", + "right": "issue:859", + "accept": false, + "reason": "Different unexpected-argument errors in different constructors/steps; not the same bug." + }, + { + "left": "issue:1249", + "right": "issue:858", + "accept": false, + "reason": "`numpy.ndarray` lacking `device` is unrelated to `Parameter` lacking `named_children`." + }, + { + "left": "issue:5029", + "right": "issue:8863", + "accept": false, + "reason": "Both are shape/attribute style runtime errors, but the reported objects and failure modes differ." + }, + { + "left": "issue:6482", + "right": "issue:8871", + "accept": true, + "reason": "Both report the same FP16-unscale ValueError during LoRA training, and the titles point to the same underlying training bug." + }, + { + "left": "issue:10180", + "right": "issue:11651", + "accept": false, + "reason": "Both are FluxControl/LoRA loading complaints, but one is about multiple LoRAs and the other about flux-fill-lora; too little evidence they are the same concrete bug." + }, + { + "left": "issue:3973", + "right": "issue:5171", + "accept": false, + "reason": "Different unexpected keyword arguments in different APIs (`vae_path` vs `safety_checker`)." + }, + { + "left": "issue:4456", + "right": "issue:6126", + "accept": false, + "reason": "A LoRA loader `ModuleList` attribute error is unrelated to the VAE `tile_sample_min_size` missing-attribute bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted duplicates are the FP16-unscale LoRA training reports, which all share the exact same error string in the titles, and the other soft-edge rejections appropriately avoid overclaiming based on generic similarity alone. Canonical/best-issue choices are also reasonably supported by the more specific repro context in issue 6482." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 16, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10722", + "issue:11117", + "issue:11435", + "issue:11436", + "issue:11464", + "issue:12609", + "issue:12612", + "issue:12613", + "issue:12666", + "issue:13162", + "issue:13203", + "issue:13221", + "issue:13311", + "issue:1377", + "issue:1444", + "issue:1500", + "issue:1616", + "issue:1991", + "issue:2661", + "issue:2662", + "issue:2669", + "issue:3576", + "issue:3580", + "issue:3627", + "issue:4557", + "issue:4868", + "issue:5022", + "issue:5023", + "issue:5075", + "issue:5399", + "issue:5919", + "issue:6086", + "issue:6442", + "issue:6454", + "issue:6549", + "issue:6880", + "issue:7033", + "issue:7185", + "issue:7799", + "issue:7922", + "issue:7931", + "issue:8589", + "issue:9062", + "issue:9378", + "issue:9403", + "issue:9430", + "issue:9514", + "issue:9895" + ], + "soft_pairs": [ + "issue:2669|issue:5919", + "issue:1991|issue:9895", + "issue:6086|issue:6442", + "issue:11464|issue:9514", + "issue:4557|issue:9430", + "issue:4868|issue:7922", + "issue:6442|issue:6454", + "issue:2661|issue:2662", + "issue:12609|issue:12613", + "issue:12612|issue:12613", + "issue:3576|issue:3580", + "issue:13203|issue:13221", + "issue:13162|issue:13311", + "issue:5022|issue:5023", + "issue:11117|issue:11436", + "issue:1500|issue:1616", + "issue:7799|issue:7931", + "issue:1377|issue:1444", + "issue:3627|issue:6880", + "issue:12666|issue:7185", + "issue:9378|issue:9403", + "issue:10722|issue:8589", + "issue:11435|issue:9062", + "issue:6549|issue:7033", + "issue:5075|issue:5399" + ], + "prepared_review_unit_hash": "5b9d746a761dbf143c9069d8909603ba2676ce29b6950285b0cdc747c51ea847", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34461, + "estimated_input_tokens": 8616, + "estimated_eval_tokens": 17488 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a mix of separate bugs and feature requests, not one large duplicate cluster. The strongest confirmed duplicate groups are the checkpoint-save write errors, FP16 gradient unscale errors, the Wan 2.2 NaN-in-latents reports, the Custom Diffusion retrieve.py reports, and a couple of obvious support-request follow-ups. The DreamBooth prior-preservation pair looks related, but not sufficiently grounded to call a confirmed duplicate from the packet alone: issue:8589 is SD3-specific, while issue:10722 is a broader DreamBooth prior-preservation tensor-size mismatch.", + "confidence": 0.79, + "canonical_issue_reason": "issue:12613 is the strongest single representative in the set: it is the most active open report, has inbound references, and is the most specific description of the Wan 2.2 NaN-in-latent bug.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12613 has the best combination of specificity, discussion activity, and inbound references, so it is the most suitable anchor issue overall.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2669", + "right": "issue:5919", + "accept": false, + "reason": "Both are AttributeErrors, but they point to different missing members (`replace` vs `set_lora_layer`) and likely different code paths." + }, + { + "left": "issue:1991", + "right": "issue:9895", + "accept": false, + "reason": "Same generic device-mismatch wording, but one is Checkpoint Merger and the other is FluxPipeline inference; too different to treat as the same bug." + }, + { + "left": "issue:6086", + "right": "issue:6442", + "accept": true, + "reason": "Same FP16 gradient unscale failure during training; 6086 is just a specific reproduction of the same underlying bug." + }, + { + "left": "issue:11464", + "right": "issue:9514", + "accept": false, + "reason": "Both involve Flux LoRA loading, but the failing conditions differ (ControlPipeline load vs fp8-quantized weight loading), so they are not clearly the same bug." + }, + { + "left": "issue:4557", + "right": "issue:9430", + "accept": false, + "reason": "Both are NoneType attribute errors, but the missing attribute and surrounding context differ, so this is not enough to merge them." + }, + { + "left": "issue:4868", + "right": "issue:7922", + "accept": false, + "reason": "One is a generic `__getattr__` error and the other is a missing exported pipeline symbol; different issues." + }, + { + "left": "issue:6442", + "right": "issue:6454", + "accept": true, + "reason": "These are identical reports of `Attempting to unscale FP16 gradients`, so they are duplicates." + }, + { + "left": "issue:2661", + "right": "issue:2662", + "accept": true, + "reason": "The titles and problem description are effectively the same checkpoint-saving write error." + }, + { + "left": "issue:12609", + "right": "issue:12613", + "accept": true, + "reason": "Same Wan 2.2 NaN-in-latents bug; 12613 is the i2v-specific report of the same underlying failure." + }, + { + "left": "issue:12612", + "right": "issue:12613", + "accept": false, + "reason": "Both are Wan NaN reports, but 12612 is Wan 2.1 while 12613 is Wan 2.2 i2v, so they are likely separate model/version issues." + }, + { + "left": "issue:3576", + "right": "issue:3580", + "accept": false, + "reason": "Both mention XFormers TypeErrors, but one is tied to Textual Inversion and the other is a generic version-specific report; not enough to confirm the same concrete bug." + }, + { + "left": "issue:13203", + "right": "issue:13221", + "accept": true, + "reason": "These are clearly the same Zimage LoRA support request, with the second being an obvious follow-up/duplicate." + }, + { + "left": "issue:13162", + "right": "issue:13311", + "accept": true, + "reason": "Both are about Flux.2-klein LoRA support failing; one is the generic support request and the other is the concrete 9B LoRA-key failure for the same feature gap." + }, + { + "left": "issue:5022", + "right": "issue:5023", + "accept": false, + "reason": "Both are import errors, but they concern different missing symbols and different pipelines, so they are not the same issue." + }, + { + "left": "issue:11117", + "right": "issue:11436", + "accept": false, + "reason": "Both involve dtype mismatch, but one is StableDiffusion3Pipeline and the other is HiDream inference; different models and likely different fixes." + }, + { + "left": "issue:1500", + "right": "issue:1616", + "accept": false, + "reason": "Both are LPW/community pipeline compatibility issues, but they target different diffusers versions and are not clearly the same underlying bug." + }, + { + "left": "issue:7799", + "right": "issue:7931", + "accept": false, + "reason": "Both touch IP-Adapter/inpainting-related paths, but the concrete failures are different (matmul size mismatch vs `ip_adapter_image_embeds` support)." + }, + { + "left": "issue:1377", + "right": "issue:1444", + "accept": false, + "reason": "Both are import errors, but they are for different symbols and unrelated components." + }, + { + "left": "issue:3627", + "right": "issue:6880", + "accept": true, + "reason": "Both point to the same Custom Diffusion `retrieve.py` problem; the second is a shorter duplicate report of the same code path." + }, + { + "left": "issue:12666", + "right": "issue:7185", + "accept": false, + "reason": "One is a missing pipeline in diffusers 0.35.2, the other is a general PyTorch support question; not the same bug or change." + }, + { + "left": "issue:9378", + "right": "issue:9403", + "accept": false, + "reason": "Both are Xlabs support requests, but one is ControlNet and the other is IP-Adapter; different features and different changes." + }, + { + "left": "issue:10722", + "right": "issue:8589", + "accept": false, + "reason": "They are plausibly related DreamBooth prior-preservation reports, but the packet does not ground them as the same confirmed bug: 10722 is a broader tensor-size mismatch, while 8589 is explicitly SD3-specific prior-preservation failure." + }, + { + "left": "issue:11435", + "right": "issue:9062", + "accept": false, + "reason": "Both are missing import symbols, but they are different pipelines and different exported names, so they should stay separate." + }, + { + "left": "issue:6549", + "right": "issue:7033", + "accept": false, + "reason": "Both are warning/logging issues around IP-Adapter, but one is about LoRA weight warnings and the other about attention masking warnings; not the same bug." + }, + { + "left": "issue:5075", + "right": "issue:5399", + "accept": false, + "reason": "Both are matmul/dtype runtime errors, but they occur in different pipelines and with different shapes/cause, so they are not the same concrete issue." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "Mostly conservative, but the summary overstates at least one merge claim. In particular, calling issue:10722 and issue:8589 the same \"SD3 DreamBooth prior-preservation bug\" is not grounded by the packet: 10722\u2019s title only says DreamBooth training with prior preservation, while 8589 is the SD3-specific report. That should be phrased more cautiously as a possible related prior-preservation/DreamBooth issue, not a confirmed duplicate. The rest of the soft-edge verdicts look conservative." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 17, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10180", + "issue:10752", + "issue:10848", + "issue:10963", + "issue:10989", + "issue:11199", + "issue:11283", + "issue:11581", + "issue:11827", + "issue:1255", + "issue:1263", + "issue:12826", + "issue:13124", + "issue:1444", + "issue:1538", + "issue:1611", + "issue:2294", + "issue:2780", + "issue:2908", + "issue:2984", + "issue:2991", + "issue:3140", + "issue:3279", + "issue:3569", + "issue:3638", + "issue:4052", + "issue:4063", + "issue:4069", + "issue:4118", + "issue:4754", + "issue:4969", + "issue:5025", + "issue:5757", + "issue:579", + "issue:6044", + "issue:6098", + "issue:6112", + "issue:6734", + "issue:7221", + "issue:7223", + "issue:7681", + "issue:8320", + "issue:8482", + "issue:8615", + "issue:9527", + "issue:9630", + "issue:9911" + ], + "soft_pairs": [ + "issue:1255|issue:1263", + "issue:10963|issue:1255", + "issue:10963|issue:4969", + "issue:2908|issue:2991", + "issue:13124|issue:2780", + "issue:10026|issue:9630", + "issue:6112|issue:7221", + "issue:4754|issue:579", + "issue:8482|issue:8615", + "issue:2294|issue:3140", + "issue:12826|issue:4969", + "issue:11199|issue:7681", + "issue:11283|issue:11827", + "issue:12826|issue:5025", + "issue:3569|issue:3638", + "issue:10848|issue:11581", + "issue:10180|issue:10989", + "issue:1444|issue:4969", + "issue:1538|issue:1611", + "issue:2984|issue:7223", + "issue:4063|issue:4069", + "issue:4052|issue:4118", + "issue:9527|issue:9911", + "issue:10752|issue:6098", + "issue:4052|issue:8320", + "issue:6044|issue:6734", + "issue:3279|issue:5757" + ], + "prepared_review_unit_hash": "7eb5dfc3057074ecb88c0b835db8e31b5def4eab6f73fcd7f4d657191d158589", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 35251, + "estimated_input_tokens": 8813, + "estimated_eval_tokens": 17882 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not one coherent duplicate cluster; it splits into several unrelated subclusters (FP16 gradient scaling, textual inversion checkpoint handling, from_single_file API regressions, resume-from-checkpoint, ControlNet mixed precision, and many unrelated import/model-loading bugs).", + "confidence": 0.61, + "canonical_issue_reason": "Issue 6098 is the closest representative of the strongest duplicate subcluster (the generic FP16 gradient unscale error), but it does not cover the many unrelated items in this cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "1098? Actually 6098 is the best issue candidate only as a representative of the FP16-gradient family; it is not a true global canonical for the whole set because the rest of the items span different bugs and features.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1255", + "right": "issue:1263", + "accept": false, + "reason": "Both are import-name failures, but for different symbols and different code paths; too broad to be the same bug." + }, + { + "left": "issue:10963", + "right": "issue:1255", + "accept": false, + "reason": "Different missing symbols (`AutoencoderKLWan` vs `DPMSolverMultistepScheduler`); same broad import class, not the same bug." + }, + { + "left": "issue:10963", + "right": "issue:4969", + "accept": false, + "reason": "Different missing exports (`AutoencoderKLWan` vs `CrossAttention`) and likely different regressions." + }, + { + "left": "issue:2908", + "right": "issue:2991", + "accept": true, + "reason": "Both point to ControlNet mixed-precision/training failures in the same example family; plausible duplicate of the same training bug." + }, + { + "left": "issue:13124", + "right": "issue:2780", + "accept": true, + "reason": "Same FP16 unscale failure in LoRA training scripts; 13124 adds a trigger detail but the underlying bug matches." + }, + { + "left": "issue:10026", + "right": "issue:9630", + "accept": false, + "reason": "Both mention Flux ControlNet multi-GPU/single-GPU behavior, but one is a memory complaint and the other is a num_single_layers error; not the same concrete bug." + }, + { + "left": "issue:6112", + "right": "issue:7221", + "accept": false, + "reason": "Both report noisy images, but on different models and likely different causes; too vague to merge." + }, + { + "left": "issue:4754", + "right": "issue:579", + "accept": false, + "reason": "Both involve textual inversion loading, but one is a missing config.json and the other a missing model_index.json; similar area, not clearly the same failure." + }, + { + "left": "issue:8482", + "right": "issue:8615", + "accept": false, + "reason": "One is general SD3 support; the other is a specific fuse_lora feature request. Not the same change." + }, + { + "left": "issue:2294", + "right": "issue:3140", + "accept": false, + "reason": "Both are import errors, but they are for different pipelines and different missing classes." + }, + { + "left": "issue:12826", + "right": "issue:4969", + "accept": false, + "reason": "Different missing exports (`export_to_video` vs `CrossAttention`); same package, not same bug." + }, + { + "left": "issue:11199", + "right": "issue:7681", + "accept": false, + "reason": "Different import failures from different modules and different root causes; not duplicates." + }, + { + "left": "issue:11283", + "right": "issue:11827", + "accept": false, + "reason": "Both are safetensors header errors, but on different models and with different deserialization contexts; not clearly the same underlying bug." + }, + { + "left": "issue:12826", + "right": "issue:5025", + "accept": false, + "reason": "Different missing exports; both import-related but not the same concrete regression." + }, + { + "left": "issue:3569", + "right": "issue:3638", + "accept": false, + "reason": "Distinct new-pipeline proposals, not duplicates." + }, + { + "left": "issue:10848", + "right": "issue:11581", + "accept": false, + "reason": "Both affect IP-Adapter loading, but the errors are different type errors at different layers of the stack." + }, + { + "left": "issue:10180", + "right": "issue:10989", + "accept": false, + "reason": "Both mention Flux Control LoRA loading, but one is multiple-LoRA handling and the other is quantized-transformers failure; different bugs." + }, + { + "left": "issue:1444", + "right": "issue:4969", + "accept": false, + "reason": "Different missing imports from different parts of diffusers; same symptom, not same bug." + }, + { + "left": "issue:1538", + "right": "issue:1611", + "accept": false, + "reason": "Both involve StableDiffusionMegaPipeline, but the affected base models and failure context differ enough that this is not a safe duplicate." + }, + { + "left": "issue:2984", + "right": "issue:7223", + "accept": false, + "reason": "One is a long-video generation research issue and the other is a Latte pipeline proposal; not duplicates." + }, + { + "left": "issue:4063", + "right": "issue:4069", + "accept": true, + "reason": "Near-identical textual inversion unloading reports; same underlying pipeline cleanup bug." + }, + { + "left": "issue:4052", + "right": "issue:4118", + "accept": true, + "reason": "Same `from_single_file` attribute-missing regression, with 4118 being a specific instance of the same failure." + }, + { + "left": "issue:9527", + "right": "issue:9911", + "accept": false, + "reason": "Different Flux/ControlNet dtype and layer-length problems; same subsystem, different bugs." + }, + { + "left": "issue:10752", + "right": "issue:6098", + "accept": true, + "reason": "Both are the same FP16 gradient unscale error in training; one is the generic report and the other a specific instance." + }, + { + "left": "issue:4052", + "right": "issue:8320", + "accept": true, + "reason": "Both report the `from_single_file`/`AutoencoderKL` attribute regression; same core issue." + }, + { + "left": "issue:6044", + "right": "issue:6734", + "accept": false, + "reason": "Different runtime attribute failures in different pipeline stages; not the same underlying bug." + }, + { + "left": "issue:3279", + "right": "issue:5757", + "accept": true, + "reason": "Both are resume-from-checkpoint failures in DreamBooth LoRA training scripts; same family of bug and plausibly one fix." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative about the cluster being a mix of several unrelated subclusters. The accepted soft-edge pairs are mostly well-supported by the titles alone and are phrased cautiously enough (same error family / plausible same fix) rather than as certain duplicates." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 18, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10066", + "issue:10591", + "issue:10752", + "issue:1082", + "issue:1100", + "issue:11014", + "issue:11410", + "issue:12047", + "issue:12097", + "issue:12147", + "issue:1255", + "issue:1260", + "issue:1263", + "issue:13087", + "issue:13124", + "issue:13258", + "issue:1444", + "issue:1478", + "issue:1842", + "issue:1946", + "issue:2044", + "issue:2132", + "issue:2294", + "issue:2780", + "issue:2947", + "issue:3728", + "issue:3884", + "issue:4483", + "issue:4542", + "issue:4619", + "issue:4724", + "issue:4872", + "issue:5897", + "issue:6044", + "issue:6363", + "issue:6454", + "issue:6697", + "issue:6879", + "issue:7133", + "issue:7210", + "issue:8414", + "issue:852", + "issue:8534", + "issue:859", + "issue:8975", + "issue:9062", + "issue:9841" + ], + "soft_pairs": [ + "issue:2947|issue:6044", + "issue:4619|issue:6879", + "issue:12047|issue:12147", + "issue:12097|issue:13258", + "issue:1478|issue:4542", + "issue:8975|issue:9062", + "issue:11014|issue:4872", + "issue:3884|issue:5897", + "issue:10752|issue:2780", + "issue:13124|issue:6454", + "issue:1842|issue:859", + "issue:1100|issue:7210", + "issue:852|issue:859", + "issue:1263|issue:1444", + "issue:7133|issue:9841", + "issue:4483|issue:4724", + "issue:1255|issue:13087", + "issue:10066|issue:11410", + "issue:1082|issue:1946", + "issue:1260|issue:9062", + "issue:10591|issue:8534", + "issue:2044|issue:2132", + "issue:13124|issue:6363", + "issue:4872|issue:6697", + "issue:3728|issue:8414", + "issue:1260|issue:2294" + ], + "prepared_review_unit_hash": "d090371b5659ed12d1a5755ad81e5d12274f1d979dbed6fd449134cbe88cc290", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 34495, + "estimated_input_tokens": 8624, + "estimated_eval_tokens": 17504 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous overall, but it contains a few clear duplicate subgroups: the DPMSolverMultistepScheduler import error, the StableDiffusionSafetyChecker import error, and several near-identical FP16 unscale training failures. Most other soft pairs are only superficially similar and should stay separate.", + "confidence": 0.78, + "canonical_issue_reason": "Issue #6454 is the cleanest canonical representative of the repeated 'Attempting to unscale FP16 gradients' training failure family: it is concise, generic, and matches the shared root error seen across the other LoRA/dreambooth reports.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #6454 is the best single issue to anchor the FP16-unscale duplicate set because its title is the most canonical and broadest expression of the underlying bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2947", + "right": "issue:6044", + "accept": false, + "reason": "Different failures: one is missing load_attn_procs on UNet2DConditionModel, the other missing do_classifier_free_guidance on StableDiffusionImg2ImgPipeline." + }, + { + "left": "issue:4619", + "right": "issue:6879", + "accept": false, + "reason": "Both are dtype-related, but they are different concrete errors in different scripts and code paths." + }, + { + "left": "issue:12047", + "right": "issue:12147", + "accept": false, + "reason": "Both mention Wan2.2/LoRA, but one is a GGUF fusion failure and the other is a Lightning LoRA loading failure; not the same bug." + }, + { + "left": "issue:12097", + "right": "issue:13258", + "accept": false, + "reason": "Both are Wan2.2 VRAM/missing-model reports, but one is TI2V OOM and the other is an image-to-video missing-model issue." + }, + { + "left": "issue:1478", + "right": "issue:4542", + "accept": false, + "reason": "Both concern multi-image output limits, but they are different pipelines and not clearly the same defect." + }, + { + "left": "issue:8975", + "right": "issue:9062", + "accept": false, + "reason": "Different import failures for different symbols: LoraLoaderMixin vs StableAudioPipeline." + }, + { + "left": "issue:11014", + "right": "issue:4872", + "accept": false, + "reason": "Both are OOM reports, but from different model/training contexts and not the same underlying bug." + }, + { + "left": "issue:3884", + "right": "issue:5897", + "accept": false, + "reason": "These are different training failures; one is generic train_text_to_image_lora.py error and the other is a device-mismatch error." + }, + { + "left": "issue:10752", + "right": "issue:2780", + "accept": true, + "reason": "Same underlying FP16 gradient unscale failure in LoRA training; titles differ only in wording and script context." + }, + { + "left": "issue:13124", + "right": "issue:6454", + "accept": true, + "reason": "Same FP16 unscale error family; #13124 is a specific trigger variant of the generic #6454 bug." + }, + { + "left": "issue:1842", + "right": "issue:859", + "accept": false, + "reason": "Similar 'unexpected keyword' wording, but one is eta and the other is device_map; not the same issue." + }, + { + "left": "issue:1100", + "right": "issue:7210", + "accept": false, + "reason": "Different attribute errors on different objects: CLIPTextTransformer.device vs StableDiffusionXLPipeline.named_parameters." + }, + { + "left": "issue:852", + "right": "issue:859", + "accept": false, + "reason": "Both mention device_map, but one is an MPS crash and the other is a constructor TypeError; not enough evidence of the same bug." + }, + { + "left": "issue:1263", + "right": "issue:1444", + "accept": true, + "reason": "Same StableDiffusionSafetyChecker import error, essentially duplicate reports of the same missing symbol." + }, + { + "left": "issue:7133", + "right": "issue:9841", + "accept": false, + "reason": "Both are SDXL DreamBooth LoRA training problems, but one is a resume size mismatch and the other is a use_dora TypeError." + }, + { + "left": "issue:4483", + "right": "issue:4724", + "accept": false, + "reason": "Both involve SDXL img2img behavior, but one is nondeterministic generator output and the other is checkpoint-specific multi-image handling." + }, + { + "left": "issue:1255", + "right": "issue:13087", + "accept": false, + "reason": "Different missing symbols from diffusers; these are unrelated import failures." + }, + { + "left": "issue:10066", + "right": "issue:11410", + "accept": false, + "reason": "Both are attention_processor unpacking errors, but the expected tuple arity differs and the concrete failures do not match." + }, + { + "left": "issue:1082", + "right": "issue:1946", + "accept": false, + "reason": "Both are CUDA/xformers-related crashes, but one is cublasLtMatmul execution failure and the other is invalid argument under xformers." + }, + { + "left": "issue:1260", + "right": "issue:9062", + "accept": false, + "reason": "Both are import errors, but they concern different exported classes and different modules." + }, + { + "left": "issue:10591", + "right": "issue:8534", + "accept": false, + "reason": "Different SD3 training-script bugs: one is a vague lora script problem and the other is wrong logit-normal weighting." + }, + { + "left": "issue:2044", + "right": "issue:2132", + "accept": false, + "reason": "Different object attribute errors in different training setups: DistributedDataParallel.dtype vs Accelerator.trackers." + }, + { + "left": "issue:13124", + "right": "issue:6363", + "accept": true, + "reason": "Same FP16 unscale gradient error in LoRA-style training scripts; likely the same underlying AMP/accelerate bug." + }, + { + "left": "issue:4872", + "right": "issue:6697", + "accept": false, + "reason": "Both are OOM reports, but they reference different SDXL finetuning scenarios and are not the same concrete failure." + }, + { + "left": "issue:3728", + "right": "issue:8414", + "accept": false, + "reason": "Completely different model proposals: text-to-image vs text-to-audio new model requests." + }, + { + "left": "issue:1260", + "right": "issue:2294", + "accept": false, + "reason": "Different missing import symbols from diffusers; not the same issue." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft edges. The accepted duplicates are well-supported by near-identical titles and the packet\u2019s own similarity signals, and the rejected pairs are mostly cautious rather than overstated. No mergeability concerns apply since this is an issue-pair cluster rather than a PR pair." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 19, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10066", + "issue:10453", + "issue:10860", + "issue:10963", + "issue:11790", + "issue:12096", + "issue:12141", + "issue:12492", + "issue:1255", + "issue:1260", + "issue:1263", + "issue:13124", + "issue:1572", + "issue:1614", + "issue:1734", + "issue:1976", + "issue:2296", + "issue:246", + "issue:2947", + "issue:2984", + "issue:3420", + "issue:3812", + "issue:409", + "issue:4241", + "issue:4446", + "issue:4615", + "issue:4911", + "issue:5016", + "issue:5197", + "issue:5594", + "issue:6435", + "issue:6446", + "issue:6482", + "issue:6636", + "issue:6894", + "issue:7041", + "issue:7049", + "issue:7333", + "issue:7516", + "issue:7766", + "issue:7940", + "issue:8817", + "issue:9051", + "issue:9062", + "issue:9396", + "issue:9534", + "issue:9889" + ], + "soft_pairs": [ + "issue:1572|issue:3420", + "issue:10963|issue:4615", + "issue:246|issue:409", + "issue:10963|issue:1263", + "issue:10066|issue:7049", + "issue:1255|issue:6636", + "issue:7766|issue:8817", + "issue:3812|issue:6435", + "issue:12096|issue:12141", + "issue:10453|issue:9051", + "issue:1260|issue:4615", + "issue:4446|issue:4911", + "issue:7940|issue:9396", + "issue:12492|issue:7516", + "issue:1976|issue:2296", + "issue:5016|issue:6894", + "issue:2984|issue:7333", + "issue:13124|issue:6482", + "issue:4241|issue:5594", + "issue:7041|issue:9889", + "issue:10860|issue:11790", + "issue:2947|issue:9534", + "issue:1734|issue:5197", + "issue:1614|issue:6446", + "issue:4615|issue:9062" + ], + "prepared_review_unit_hash": "5a17d63c5e72a3037073ef5f378df2272fd10a1e12213bd9d20f5405bdecfa01", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33870, + "estimated_input_tokens": 8468, + "estimated_eval_tokens": 17192 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issues across different pipelines/features; only the custom text_encoder/from_single_file reports look like a true duplicate pair.", + "confidence": 0.78, + "canonical_issue_reason": "Issue 4446 is the clearest, most specific representative of the shared `StableDiffusionPipeline.from_single_file` custom text_encoder loading bug, with 4911 as its duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4446 is the best anchor for the cluster because it most directly states the concrete failure mode and matches the only strong duplicate pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1572", + "right": "issue:3420", + "accept": false, + "reason": "Both are pipeline/inpainting-related, but they describe different pipelines and behaviors; not the same bug." + }, + { + "left": "issue:10963", + "right": "issue:4615", + "accept": false, + "reason": "Different missing imports (`AutoencoderKLWan` vs `StableDiffusionControlnetPipeline`) and different code paths." + }, + { + "left": "issue:246", + "right": "issue:409", + "accept": false, + "reason": "Different API breakages on different objects (`FeatureExtractionMixin` vs `enable_attention_slicing`)." + }, + { + "left": "issue:10963", + "right": "issue:1263", + "accept": false, + "reason": "Both are import errors, but for unrelated symbols and modules." + }, + { + "left": "issue:10066", + "right": "issue:7049", + "accept": false, + "reason": "Both mention unpacking errors, but the expected arity and feature area differ; likely separate bugs." + }, + { + "left": "issue:1255", + "right": "issue:6636", + "accept": false, + "reason": "Different import failures with different missing names; no clear shared root cause." + }, + { + "left": "issue:7766", + "right": "issue:8817", + "accept": false, + "reason": "One is a how-to/support question and the other a specific FaceID usage bug; not the same underlying issue." + }, + { + "left": "issue:3812", + "right": "issue:6435", + "accept": false, + "reason": "Both involve ControlNet, but one is config loading and the other default size initialization; different defects." + }, + { + "left": "issue:12096", + "right": "issue:12141", + "accept": false, + "reason": "Same pipeline, but different incompatibilities (`apply_group_offloading` vs bf16/fp16 VAE) and not clearly the same bug." + }, + { + "left": "issue:10453", + "right": "issue:9051", + "accept": false, + "reason": "Both are batch-size limitations, but on different pipelines/models and likely separate implementation gaps." + }, + { + "left": "issue:1260", + "right": "issue:4615", + "accept": false, + "reason": "Different missing imports from `diffusers`; unrelated symbols." + }, + { + "left": "issue:4446", + "right": "issue:4911", + "accept": true, + "reason": "Same `from_single_file` custom text_encoder loading failure with essentially the same symptom and workflow." + }, + { + "left": "issue:7940", + "right": "issue:9396", + "accept": false, + "reason": "Both are Korean docs translation tasks, but they target different scopes and are not the same change." + }, + { + "left": "issue:12492", + "right": "issue:7516", + "accept": false, + "reason": "Different missing attributes in different libraries/classes; no shared concrete bug." + }, + { + "left": "issue:1976", + "right": "issue:2296", + "accept": false, + "reason": "Completely different issues: tokenizer path resolution vs xformers attention support." + }, + { + "left": "issue:5016", + "right": "issue:6894", + "accept": false, + "reason": "Both are LoRA-related, but one is training text encoders and the other is A1111 compatibility; not the same bug." + }, + { + "left": "issue:2984", + "right": "issue:7333", + "accept": false, + "reason": "Different research/feature requests for different video-generation papers." + }, + { + "left": "issue:13124", + "right": "issue:6482", + "accept": false, + "reason": "Same family of training errors, but different scripts and triggers (`validation_prompt` vs `resume_from_checkpoint`), so not clearly one bug." + }, + { + "left": "issue:4241", + "right": "issue:5594", + "accept": false, + "reason": "Both are about LoRA/fine-tuning, but one is a feature request and the other is memory usage; unrelated." + }, + { + "left": "issue:7041", + "right": "issue:9889", + "accept": false, + "reason": "Both are segfaults, but on different models and runtime conditions; not the same concrete failure." + }, + { + "left": "issue:10860", + "right": "issue:11790", + "accept": false, + "reason": "Both concern LoRA portability, but different training scripts and destination tools; too broad to treat as duplicates." + }, + { + "left": "issue:2947", + "right": "issue:9534", + "accept": false, + "reason": "Different attribute errors on different model classes and methods." + }, + { + "left": "issue:1734", + "right": "issue:5197", + "accept": false, + "reason": "Both mention multi-GPU slowness, but they cover different training setups and likely different performance causes." + }, + { + "left": "issue:1614", + "right": "issue:6446", + "accept": false, + "reason": "Different symptoms and contexts: black output with autocast vs model not loading on Colab." + }, + { + "left": "issue:4615", + "right": "issue:9062", + "accept": false, + "reason": "Different missing pipeline imports (`StableDiffusionControlnetPipeline` vs `StableAudioPipeline`)." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The cluster summary is well grounded in the packet. The canonical choice of issue 4446 is supported by the near-identical duplicate pair with 4911, and the other soft-edge pairs are handled conservatively without overclaiming duplicates from title-level similarity alone." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 20, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1013", + "issue:10436", + "issue:10752", + "issue:1100", + "issue:11033", + "issue:11853", + "issue:12195", + "issue:1246", + "issue:12529", + "issue:1255", + "issue:1315", + "issue:13258", + "issue:1377", + "issue:1611", + "issue:1925", + "issue:1946", + "issue:1988", + "issue:2947", + "issue:3094", + "issue:3140", + "issue:3382", + "issue:4186", + "issue:4213", + "issue:4615", + "issue:4724", + "issue:4736", + "issue:4969", + "issue:5246", + "issue:5563", + "issue:5873", + "issue:6124", + "issue:6146", + "issue:6298", + "issue:6454", + "issue:6697", + "issue:7114", + "issue:7146", + "issue:7185", + "issue:7210", + "issue:7228", + "issue:7854", + "issue:858", + "issue:9421", + "issue:9497", + "issue:9534", + "issue:9790", + "issue:9841", + "issue:9970" + ], + "soft_pairs": [ + "issue:1946|issue:3382", + "issue:5563|issue:9841", + "issue:10436|issue:9421", + "issue:1925|issue:4186", + "issue:3382|issue:6146", + "issue:1013|issue:1611", + "issue:9497|issue:9790", + "issue:5563|issue:9970", + "issue:1255|issue:4615", + "issue:1988|issue:7854", + "issue:5873|issue:7185", + "issue:3094|issue:4736", + "issue:11033|issue:4213", + "issue:2947|issue:7228", + "issue:1377|issue:4969", + "issue:6298|issue:7210", + "issue:1100|issue:9534", + "issue:12195|issue:5246", + "issue:12529|issue:13258", + "issue:3094|issue:6697", + "issue:11853|issue:4724", + "issue:1315|issue:3140", + "issue:7210|issue:858", + "issue:1246|issue:6454", + "issue:10752|issue:6124", + "issue:7114|issue:7146" + ], + "prepared_review_unit_hash": "9f558457adadd223a251686f288c6a73f3b77ec2e03252fa52b29dd9e7c1a879", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 35032, + "estimated_input_tokens": 8758, + "estimated_eval_tokens": 17772 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a mix of training/runtime errors across diffusers examples. Only a small subset are true duplicates: the FP16 unscale gradient errors, the stable-diffusion-inpainting access issue, the StableDiffusionMegaPipeline regression, the input/bias dtype mismatch, and the SDXL text-to-image OOM pair. Most other pairs are only broad-topic similar and should remain separate.", + "confidence": 0.78, + "canonical_issue_reason": "issue:6454 is the cleanest, most generic representation of the repeated FP16 unscale gradient failure; other related items are either older example-specific reports or near-verbatim variants of the same error.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6454 is the best cluster anchor because it states the core bug plainly and is broad enough to represent the repeated fp16-gradient symptom without tying it to one notebook or example.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1946", + "right": "issue:3382", + "accept": false, + "reason": "Different failures: xformers CUDA invalid-argument vs multi-GPU OOM. Same training area, not the same bug." + }, + { + "left": "issue:5563", + "right": "issue:9841", + "accept": false, + "reason": "Both are DreamBooth/LoRA training problems, but one is a broad error report and the other is a specific TypeError around use_dora=False; not clearly the same underlying defect." + }, + { + "left": "issue:10436", + "right": "issue:9421", + "accept": true, + "reason": "Both report inability to load/access runwayml/stable-diffusion-inpainting, appearing to be the same model-loading/access issue." + }, + { + "left": "issue:1925", + "right": "issue:4186", + "accept": false, + "reason": "Inpainting half-precision issue vs SDXL inpaint with refiner; different model paths and symptoms." + }, + { + "left": "issue:3382", + "right": "issue:6146", + "accept": false, + "reason": "Both involve training, but one is a text-to-image OOM and the other is a multi-GPU DreamBooth LoRA setup issue; not the same concrete bug." + }, + { + "left": "issue:1013", + "right": "issue:1611", + "accept": true, + "reason": "Same StableDiffusionMegaPipeline regression across Diffusers 0.6.0 / v0.6.0 with the SD 1.5 pipeline." + }, + { + "left": "issue:9497", + "right": "issue:9790", + "accept": false, + "reason": "Both are FLUX DreamBooth training issues, but the concrete errors differ (mat2 1-D tensor vs multigpu training problem)." + }, + { + "left": "issue:5563", + "right": "issue:9970", + "accept": false, + "reason": "Both are broad DreamBooth SDXL LoRA failures, but the titles do not identify the same concrete code-path bug." + }, + { + "left": "issue:1255", + "right": "issue:4615", + "accept": false, + "reason": "Different missing imports: DPMSolverMultistepScheduler vs StableDiffusionControlnetPipeline." + }, + { + "left": "issue:1988", + "right": "issue:7854", + "accept": true, + "reason": "Same runtime dtype mismatch: input type half/c10::Half versus float bias type during training." + }, + { + "left": "issue:5873", + "right": "issue:7185", + "accept": false, + "reason": "ONNX export operator support problem vs a general PyTorch version-compatibility question; not the same bug." + }, + { + "left": "issue:3094", + "right": "issue:4736", + "accept": false, + "reason": "Both mention OOM, but they are different scripts/examples and one also has an invalid-value-cast issue." + }, + { + "left": "issue:11033", + "right": "issue:4213", + "accept": false, + "reason": "Different loading scenarios and model families: SD1.5 single-file UNet loading vs SDXL from_single_file without accelerate." + }, + { + "left": "issue:2947", + "right": "issue:7228", + "accept": false, + "reason": "UNet load_attn_procs missing vs traced model missing dtype; unrelated attribute errors." + }, + { + "left": "issue:1377", + "right": "issue:4969", + "accept": false, + "reason": "Different import failures from different symbols: CLIPVisionModelWithProjection vs CrossAttention." + }, + { + "left": "issue:6298", + "right": "issue:7210", + "accept": false, + "reason": "GLIGEN CLIPImageProjection attribute error vs accelerate load_checkpoint_and_dispatch named_parameters issue; different code paths." + }, + { + "left": "issue:1100", + "right": "issue:9534", + "accept": false, + "reason": "CLIPTextTransformer missing device vs FluxMultiControlNetModel missing config; unrelated attribute errors." + }, + { + "left": "issue:12195", + "right": "issue:5246", + "accept": false, + "reason": "AutoencoderKL/PyTorch custom_op compatibility error vs missing CLIPImageProjection attribute." + }, + { + "left": "issue:12529", + "right": "issue:13258", + "accept": false, + "reason": "A tiled-VAE tensor mismatch in Wan2.2 TI2V-5B is not the same as the model being missing." + }, + { + "left": "issue:3094", + "right": "issue:6697", + "accept": false, + "reason": "Both are OOM reports, but they affect different training scripts and likely different resource conditions." + }, + { + "left": "issue:11853", + "right": "issue:4724", + "accept": false, + "reason": "ControlNet+IP-Adapter latent size conflict vs SDXL img2img/refiner behavior; not the same underlying bug." + }, + { + "left": "issue:1315", + "right": "issue:3140", + "accept": false, + "reason": "Different import errors involving different missing symbols." + }, + { + "left": "issue:7210", + "right": "issue:858", + "accept": false, + "reason": "Both are attribute errors, but the missing attributes and affected objects are unrelated." + }, + { + "left": "issue:1246", + "right": "issue:6454", + "accept": true, + "reason": "Same FP16 gradient unscale error; 1246 is an older example-specific report of the same bug." + }, + { + "left": "issue:10752", + "right": "issue:6124", + "accept": true, + "reason": "Near-verbatim duplicate: both are the same FP16 unscale gradient failure." + }, + { + "left": "issue:7114", + "right": "issue:7146", + "accept": true, + "reason": "Same SDXL text-to-image training OOM on the same script; titles describe the same underlying resource exhaustion." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The accepted soft-edge pairs all look plausibly duplicate/same-bug based on the titles and issue descriptions, and the rejected pairs are framed cautiously without overclaiming. The canonical anchor choice of issue:6454 is also well supported as the clearest generic FP16-unscale report." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 21, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10436", + "issue:10722", + "issue:10969", + "issue:1100", + "issue:11033", + "issue:11104", + "issue:11143", + "issue:12009", + "issue:12195", + "issue:1255", + "issue:12826", + "issue:13087", + "issue:1444", + "issue:1988", + "issue:3816", + "issue:4052", + "issue:4086", + "issue:4118", + "issue:4448", + "issue:4615", + "issue:4724", + "issue:4736", + "issue:4848", + "issue:5510", + "issue:5565", + "issue:5603", + "issue:5607", + "issue:5960", + "issue:6044", + "issue:6101", + "issue:6131", + "issue:6415", + "issue:6446", + "issue:6570", + "issue:6598", + "issue:7432", + "issue:7506", + "issue:7666", + "issue:7681", + "issue:7708", + "issue:8537", + "issue:8826", + "issue:9111", + "issue:9171", + "issue:9841", + "issue:989", + "issue:993", + "issue:9970" + ], + "soft_pairs": [ + "issue:1988|issue:5510", + "issue:1100|issue:9111", + "issue:11104|issue:11143", + "issue:10722|issue:6570", + "issue:9841|issue:9970", + "issue:1444|issue:4615", + "issue:3816|issue:7681", + "issue:12009|issue:7506", + "issue:6598|issue:7432", + "issue:4052|issue:8537", + "issue:10969|issue:989", + "issue:12195|issue:4118", + "issue:4086|issue:7708", + "issue:5607|issue:8826", + "issue:5565|issue:9970", + "issue:6131|issue:6415", + "issue:11033|issue:9171", + "issue:4448|issue:6101", + "issue:1255|issue:12826", + "issue:13087|issue:5603", + "issue:10436|issue:6446", + "issue:1100|issue:6044", + "issue:4736|issue:5960", + "issue:4848|issue:7666", + "issue:4724|issue:993" + ], + "prepared_review_unit_hash": "48cdfcd7a60bab4c1eea7b139b90fb1c951cdb6d18c654882389aa91f7ae69e2", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 35132, + "estimated_input_tokens": 8783, + "estimated_eval_tokens": 17822 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the soft pairs are mostly superficial text similarities, not the same underlying bug or change. I rejected all candidate merges.", + "confidence": 0.93, + "canonical_issue_reason": "No strong canonical issue exists because the items span unrelated imports, loading failures, training errors, and video/pipeline problems. If forced, issue 11033 is the clearest concrete bug report, but it is not a true duplicate hub.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11033 is the most concrete and well-scoped report in the set; most others are either broader symptom reports or unrelated subsystems.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1988", + "right": "issue:5510", + "accept": false, + "reason": "Both are runtime shape/type failures, but they affect different pipelines and code paths: trainer image generation vs SDXL InstructPix2Pix." + }, + { + "left": "issue:1100", + "right": "issue:9111", + "accept": false, + "reason": "Completely different problems: a missing device attribute on CLIPTextTransformer versus BitDiffusion lacking a scheduler attribute." + }, + { + "left": "issue:11104", + "right": "issue:11143", + "accept": false, + "reason": "Same project/version, but different issues: broken offload methods versus poor generated video quality." + }, + { + "left": "issue:10722", + "right": "issue:6570", + "accept": false, + "reason": "Different training scenarios and failures: DreamBooth prior-preservation tensor mismatch versus SDXL InstructPix2Pix tensor mismatch." + }, + { + "left": "issue:9841", + "right": "issue:9970", + "accept": false, + "reason": "Both involve DreamBooth SDXL LoRA, but the reported failures are different and do not clearly point to one shared bug." + }, + { + "left": "issue:1444", + "right": "issue:4615", + "accept": false, + "reason": "Different missing imports in different modules: StableDiffusionSafetyChecker versus StableDiffusionControlnetPipeline." + }, + { + "left": "issue:3816", + "right": "issue:7681", + "accept": false, + "reason": "Unrelated import failures: missing CLIPImageProcessor versus an OpenSSL/lib import error during diffusers import." + }, + { + "left": "issue:12009", + "right": "issue:7506", + "accept": false, + "reason": "Both mention meta-tensor copy problems, but they involve different models, loaders, and checkpoint formats." + }, + { + "left": "issue:6598", + "right": "issue:7432", + "accept": false, + "reason": "Both compare Diffusers output to WebUI, but one is generic img2img inconsistency and the other is a broader image-quality complaint." + }, + { + "left": "issue:4052", + "right": "issue:8537", + "accept": false, + "reason": "Different failures: missing from_single_file support versus a missing torch float8 attribute in SD3 loading." + }, + { + "left": "issue:10969", + "right": "issue:989", + "accept": false, + "reason": "The same generic error string is not enough; the training context and concrete failure path differ." + }, + { + "left": "issue:12195", + "right": "issue:4118", + "accept": false, + "reason": "Both touch AutoencoderKL, but one is a torch 2.3.1 custom_op incompatibility and the other is a missing from_single_file method." + }, + { + "left": "issue:4086", + "right": "issue:7708", + "accept": false, + "reason": "Different problems in different stages: ControlNet training failure versus a missing tokenizer/config file for SDXL loading." + }, + { + "left": "issue:5607", + "right": "issue:8826", + "accept": false, + "reason": "These are different tensor-list failures: size mismatch versus an empty tensor list." + }, + { + "left": "issue:5565", + "right": "issue:9970", + "accept": false, + "reason": "Both mention DreamBooth LoRA scripts, but the specific failures and likely causes are not shown to be the same." + }, + { + "left": "issue:6131", + "right": "issue:6415", + "accept": false, + "reason": "Related IP-Adapter area, but one is a generic not-working report and the other is explicit FaceID/FaceID-plus support scope." + }, + { + "left": "issue:11033", + "right": "issue:9171", + "accept": false, + "reason": "Both involve from_single_file on SD1.5, but one is a UNet loading failure and the other is a v_prediction regression." + }, + { + "left": "issue:4448", + "right": "issue:6101", + "accept": false, + "reason": "Both compare against A1111, but they concern different pipelines and different quality symptoms." + }, + { + "left": "issue:1255", + "right": "issue:12826", + "accept": false, + "reason": "Completely different import errors for different symbols: DPMSolverMultistepScheduler versus export_to_video." + }, + { + "left": "issue:13087", + "right": "issue:5603", + "accept": false, + "reason": "Different missing imports in unrelated API surfaces: Flux2KleinPipeline versus is_safetensors_available." + }, + { + "left": "issue:10436", + "right": "issue:6446", + "accept": false, + "reason": "Both are model-loading problems, but they target different checkpoints and loading modes." + }, + { + "left": "issue:1100", + "right": "issue:6044", + "accept": false, + "reason": "Different attribute errors in different classes: CLIPTextTransformer.device versus StableDiffusionImg2ImgPipeline.do_classifier_free_guidance." + }, + { + "left": "issue:4736", + "right": "issue:5960", + "accept": false, + "reason": "Both mention ControlNet/SDXL training and casting warnings, but one is a LoRA training OOM/cast issue and the other is a specific invalid-cast warning." + }, + { + "left": "issue:4848", + "right": "issue:7666", + "accept": false, + "reason": "Both mention lpw/SDXL/custom pipeline, but one is a general failure and the other is specifically from_single_file support." + }, + { + "left": "issue:4724", + "right": "issue:993", + "accept": false, + "reason": "Different symptoms and contexts: SDXL img2img behavior versus a generic fp16 dtype mismatch." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 22, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10472", + "issue:10839", + "issue:1260", + "issue:13087", + "issue:1315", + "issue:1444", + "issue:1500", + "issue:1604", + "issue:1709", + "issue:2044", + "issue:2294", + "issue:2548", + "issue:2780", + "issue:3325", + "issue:3565", + "issue:3639", + "issue:3728", + "issue:3787", + "issue:3788", + "issue:3973", + "issue:4186", + "issue:4206", + "issue:4529", + "issue:4615", + "issue:5029", + "issue:5374", + "issue:5563", + "issue:5661", + "issue:5894", + "issue:5897", + "issue:5972", + "issue:6044", + "issue:6230", + "issue:6277", + "issue:6734", + "issue:6967", + "issue:7002", + "issue:7146", + "issue:7483", + "issue:7708", + "issue:861", + "issue:9062", + "issue:9111", + "issue:9237", + "issue:945", + "issue:9962", + "issue:9970", + "issue:9973" + ], + "soft_pairs": [ + "issue:5029|issue:6734", + "issue:5563|issue:9973", + "issue:1709|issue:6044", + "issue:3325|issue:7146", + "issue:2294|issue:9062", + "issue:3639|issue:3728", + "issue:1260|issue:3787", + "issue:5894|issue:7002", + "issue:6967|issue:9970", + "issue:1315|issue:1444", + "issue:1500|issue:1604", + "issue:10472|issue:2548", + "issue:2780|issue:6277", + "issue:4529|issue:9962", + "issue:13087|issue:4615", + "issue:2044|issue:9111", + "issue:861|issue:945", + "issue:5661|issue:7483", + "issue:3973|issue:5374", + "issue:4206|issue:5972", + "issue:3639|issue:3788", + "issue:3325|issue:5897", + "issue:10839|issue:9237", + "issue:4186|issue:7708", + "issue:3565|issue:6230" + ], + "prepared_review_unit_hash": "fecb8b2ba4b0e0de3a6f755c0880ed7e646cd07431b0134664d77f3cb774c460", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34631, + "estimated_input_tokens": 8658, + "estimated_eval_tokens": 17572 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose grouping of Diffusers LoRA/DreamBooth/import/runtime error reports, not true duplicates. The only clear commonality is the training/inference LoRA theme, but the concrete failures differ by API, pipeline, version, or model family.", + "confidence": 0.91, + "canonical_issue_reason": "Issue #10472 is the most specific LoRA-related bug report in the set and is a better representative than the broader training-error reports, but it is not a duplicate of most others.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #10472 is the strongest single issue to anchor the cluster because it names a concrete LoRA API incompatibility (`lora_bias`) and is clearly about the same general area as several other LoRA reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5029", + "right": "issue:6734", + "accept": false, + "reason": "Both are runtime attribute errors, but they involve different objects (`AutoencoderTinyOutput` vs tokenizer-related failure) and different code paths." + }, + { + "left": "issue:5563", + "right": "issue:9973", + "accept": false, + "reason": "Both mention DreamBooth/LoRA training, but one is a generic SDXL DreamBooth LoRA failure and the other is specifically an FP16 unscale error in a different script path." + }, + { + "left": "issue:1709", + "right": "issue:6044", + "accept": false, + "reason": "Different failures in different pipelines: ONNX img2img `astype` error vs `StableDiffusionImg2ImgPipeline` missing `do_classifier_free_guidance`." + }, + { + "left": "issue:3325", + "right": "issue:7146", + "accept": false, + "reason": "Both are training crashes, but one is a CUDA invalid-argument error and the other is an SDXL CUDA OOM; not the same bug." + }, + { + "left": "issue:2294", + "right": "issue:9062", + "accept": false, + "reason": "Both are import errors, but they refer to different missing pipelines (`StableDiffusionVideoInpaintPipeline` vs `StableAudioPipeline`)." + }, + { + "left": "issue:3639", + "right": "issue:3728", + "accept": false, + "reason": "Both are new pipeline requests, not the same pipeline or bug." + }, + { + "left": "issue:1260", + "right": "issue:3787", + "accept": false, + "reason": "Both are import failures, but one is a missing scheduler symbol and the other is a partially initialized-module import cycle." + }, + { + "left": "issue:5894", + "right": "issue:7002", + "accept": false, + "reason": "Both mention invalid buffer size, but the contexts are different and the second is explicitly tied to `StableDiffusionImg2ImgPipeline`." + }, + { + "left": "issue:6967", + "right": "issue:9970", + "accept": false, + "reason": "Both concern SDXL DreamBooth LoRA training, but one is a prior-preservation shape mismatch and the other is a generic training failure." + }, + { + "left": "issue:1315", + "right": "issue:1444", + "accept": false, + "reason": "Both are import errors from `diffusers`, but they are unrelated symbols (`PIL_INTERPOLATION` vs `StableDiffusionSafetyChecker`)." + }, + { + "left": "issue:1500", + "right": "issue:1604", + "accept": false, + "reason": "Same community pipeline file, but different reported compatibility versions and likely different breakage triggers." + }, + { + "left": "issue:10472", + "right": "issue:2548", + "accept": false, + "reason": "Both are LoRA-related, but one is an inference-time unexpected `lora_bias` kwarg and the other is a saving error during fine-tuning; different failure modes." + }, + { + "left": "issue:2780", + "right": "issue:6277", + "accept": false, + "reason": "Both involve LoRA training gradients, but one is FP16 unscale in a specific example and the other is only a vague broken-gradients report." + }, + { + "left": "issue:4529", + "right": "issue:9962", + "accept": false, + "reason": "Both are unexpected keyword arguments, but the keywords differ (`network_alpha` vs `use_cuda_graph`) and they affect different call sites." + }, + { + "left": "issue:13087", + "right": "issue:4615", + "accept": false, + "reason": "Both are missing imports of pipelines, but they are completely different pipeline classes." + }, + { + "left": "issue:2044", + "right": "issue:9111", + "accept": false, + "reason": "Different attribute errors on different objects (`DistributedDataParallel.dtype` vs `BitDiffusion.scheduler`)." + }, + { + "left": "issue:861", + "right": "issue:945", + "accept": false, + "reason": "These are both conversion-related, but one is ckpt-to-diffusers and the other is custom checkpoint to ONNX; not the same issue." + }, + { + "left": "issue:5661", + "right": "issue:7483", + "accept": false, + "reason": "Different problems: a missing type import in one case and SDXL-based LoRA-to-Diffusers conversion behavior in the other." + }, + { + "left": "issue:3973", + "right": "issue:5374", + "accept": false, + "reason": "Both are unexpected keyword argument errors, but on unrelated functions and parameters (`vae_path` vs `checkpoint_path`)." + }, + { + "left": "issue:4206", + "right": "issue:5972", + "accept": false, + "reason": "One is a broken ControlNet SDXL training report; the other is documentation about Min-SNR weighting." + }, + { + "left": "issue:3639", + "right": "issue:3788", + "accept": false, + "reason": "Different new pipeline proposals with unrelated model concepts." + }, + { + "left": "issue:3325", + "right": "issue:5897", + "accept": false, + "reason": "Both are training crashes, but one is a CUDA invalid argument and the other is a cross-device tensor placement error." + }, + { + "left": "issue:10839", + "right": "issue:9237", + "accept": false, + "reason": "Both mention Flux DreamBooth LoRA, but one is a last-step training error and the other is a broader training issue; not enough evidence they are the same bug." + }, + { + "left": "issue:4186", + "right": "issue:7708", + "accept": false, + "reason": "Different SDXL inference problems: inpaint/refiner behavior vs missing tokenizer config." + }, + { + "left": "issue:3565", + "right": "issue:6230", + "accept": false, + "reason": "Both are OOM reports, but one is text-to-image training and the other is SDXL training; too broad to call duplicate." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 23, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10436", + "issue:10453", + "issue:10612", + "issue:10752", + "issue:10928", + "issue:10963", + "issue:11214", + "issue:12195", + "issue:1246", + "issue:1249", + "issue:12778", + "issue:13073", + "issue:1315", + "issue:1444", + "issue:1544", + "issue:1946", + "issue:1976", + "issue:246", + "issue:255", + "issue:3140", + "issue:3787", + "issue:4224", + "issue:4356", + "issue:4409", + "issue:4488", + "issue:4566", + "issue:4840", + "issue:5374", + "issue:539", + "issue:5595", + "issue:5840", + "issue:6126", + "issue:6363", + "issue:6741", + "issue:7146", + "issue:7210", + "issue:7228", + "issue:7644", + "issue:7716", + "issue:7784", + "issue:8307", + "issue:8534", + "issue:8788", + "issue:8887", + "issue:9067", + "issue:9914", + "issue:9962" + ], + "soft_pairs": [ + "issue:3140|issue:3787", + "issue:8534|issue:8887", + "issue:10612|issue:9914", + "issue:12195|issue:8307", + "issue:4356|issue:9067", + "issue:4488|issue:4840", + "issue:1946|issue:7146", + "issue:255|issue:5595", + "issue:1249|issue:246", + "issue:10928|issue:7716", + "issue:10453|issue:13073", + "issue:1544|issue:7210", + "issue:10436|issue:1976", + "issue:7228|issue:7784", + "issue:7644|issue:8788", + "issue:4566|issue:5840", + "issue:10963|issue:1315", + "issue:12778|issue:6741", + "issue:1249|issue:7210", + "issue:1444|issue:3140", + "issue:4409|issue:6126", + "issue:539|issue:9962", + "issue:4224|issue:6126", + "issue:1246|issue:6363", + "issue:10752|issue:1246", + "issue:11214|issue:5374" + ], + "prepared_review_unit_hash": "c0ad2ae1d24015696259b6dfa3598a4b2c508374262a0ee211b511e056d54222", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 34425, + "estimated_input_tokens": 8607, + "estimated_eval_tokens": 17470 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated issue reports. The only strong duplicate candidates are the SDXL LoRA checkpoint-resume reports and the FP16 unscale-gradient training reports; the rest differ by model, pipeline, or failure mode.", + "confidence": 0.78, + "canonical_issue_reason": "issue:5840 is the clearest, most specific report of the SDXL LoRA checkpoint-resume bug and best anchors the strongest duplicate pair in this set.", + "canonical_pr_reason": null, + "best_issue_reason": "It has the most concrete resume-from-checkpoint context among the issue reports, so it is the best single issue to keep as the reference.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3140", + "right": "issue:3787", + "accept": false, + "reason": "Both are import errors, but they involve different missing symbols and different failure modes." + }, + { + "left": "issue:8534", + "right": "issue:8887", + "accept": false, + "reason": "Both mention SD3 training, but they are distinct bugs: wrong weighting vs wrong VAE encode." + }, + { + "left": "issue:10612", + "right": "issue:9914", + "accept": false, + "reason": "Both concern LoRA loading in Flux-ish setups, but the concrete paths and reported failures differ enough to avoid merging." + }, + { + "left": "issue:12195", + "right": "issue:8307", + "accept": false, + "reason": "Different runtime errors in different components; not the same underlying bug." + }, + { + "left": "issue:4356", + "right": "issue:9067", + "accept": false, + "reason": "Both are missing-module/import problems, but they reference different modules and different packaging issues." + }, + { + "left": "issue:4488", + "right": "issue:4840", + "accept": false, + "reason": "Both are loading/checkpoint issues, but one is SDXL original checkpoint conversion and the other is FlaxAutoencoderKL loading torch weights." + }, + { + "left": "issue:1946", + "right": "issue:7146", + "accept": false, + "reason": "One is an xformers CUDA argument failure; the other is a training OOM. Different problems." + }, + { + "left": "issue:255", + "right": "issue:5595", + "accept": false, + "reason": "Both are about image size checks, but one fails when divisible by 8 and the other when not divisible by 8." + }, + { + "left": "issue:1249", + "right": "issue:246", + "accept": false, + "reason": "Different errors in different subsystems: OnnxPipeline ndarray/device vs a missing transformers mixin." + }, + { + "left": "issue:10928", + "right": "issue:7716", + "accept": false, + "reason": "Both are missing-file OSErrors, but they complain about different files and likely different loading paths." + }, + { + "left": "issue:10453", + "right": "issue:13073", + "accept": false, + "reason": "Both are support-limitations, but one is batch size and the other is guidance scale; not the same bug." + }, + { + "left": "issue:1544", + "right": "issue:7210", + "accept": false, + "reason": "Different attribute errors in unrelated code paths." + }, + { + "left": "issue:10436", + "right": "issue:1976", + "accept": false, + "reason": "Both involve loading models, but one is a missing runwayml inpainting load and the other is a tokenizer/config path error." + }, + { + "left": "issue:7228", + "right": "issue:7784", + "accept": false, + "reason": "Different missing-attribute failures in different pipelines." + }, + { + "left": "issue:7644", + "right": "issue:8788", + "accept": false, + "reason": "Both mention non-power-of-two image handling, but they are on different model families and the concrete bug descriptions differ." + }, + { + "left": "issue:4566", + "right": "issue:5840", + "accept": true, + "reason": "Both describe the same SDXL LoRA/DreamBooth checkpoint-resume regression; one says resume cannot work, the other says the model freezes on resume." + }, + { + "left": "issue:10963", + "right": "issue:1315", + "accept": false, + "reason": "Different missing import symbols; same broad category, but not the same underlying issue." + }, + { + "left": "issue:12778", + "right": "issue:6741", + "accept": false, + "reason": "Both are attribute/argument errors, but they are on different objects and different features." + }, + { + "left": "issue:1249", + "right": "issue:7210", + "accept": false, + "reason": "Different failures in unrelated pipelines; no shared code-path evidence." + }, + { + "left": "issue:1444", + "right": "issue:3140", + "accept": false, + "reason": "Both are import errors, but they concern different missing pipeline classes." + }, + { + "left": "issue:4409", + "right": "issue:6126", + "accept": false, + "reason": "Different missing attributes on different models; not a duplicate bug." + }, + { + "left": "issue:539", + "right": "issue:9962", + "accept": false, + "reason": "Both are unexpected-argument errors, but the arguments and call sites are unrelated." + }, + { + "left": "issue:4224", + "right": "issue:6126", + "accept": false, + "reason": "Different missing attributes on different model classes." + }, + { + "left": "issue:1246", + "right": "issue:6363", + "accept": true, + "reason": "Both report the same mixed-precision failure message, 'Attempting to unscale FP16 gradients,' in training examples, so they likely share the same root cause." + }, + { + "left": "issue:10752", + "right": "issue:1246", + "accept": false, + "reason": "The shared FP16 wording is superficial; one is a training bug report while the other is the Dreambooth example issue, and they do not clearly describe the same concrete code path." + }, + { + "left": "issue:11214", + "right": "issue:5374", + "accept": false, + "reason": "Different unexpected-keyword-argument failures with unrelated parameters." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The duplicate judgments are conservative and grounded in the packet. The accepted pairs (4566/5840 and 1246/6363) are well supported, and the rejected pairs generally differ by model, component, or failure mode. Minor note: the summary\u2019s FP16 wording is a bit broad, but it does not overstate the accepted evidence enough to invalidate the result." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 24, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10928", + "issue:11014", + "issue:11362", + "issue:12157", + "issue:12174", + "issue:1246", + "issue:12492", + "issue:12529", + "issue:12826", + "issue:13124", + "issue:1552", + "issue:1709", + "issue:1925", + "issue:2089", + "issue:2132", + "issue:2947", + "issue:3040", + "issue:3279", + "issue:3420", + "issue:3794", + "issue:4073", + "issue:4086", + "issue:4186", + "issue:4304", + "issue:4409", + "issue:4483", + "issue:4733", + "issue:5054", + "issue:5374", + "issue:5518", + "issue:5857", + "issue:6028", + "issue:6353", + "issue:6382", + "issue:6427", + "issue:6482", + "issue:6636", + "issue:6697", + "issue:6955", + "issue:7178", + "issue:7330", + "issue:7784", + "issue:8182", + "issue:8667", + "issue:9044", + "issue:9450", + "issue:9895", + "issue:9901" + ], + "soft_pairs": [ + "issue:9450|issue:9895", + "issue:4409|issue:5518", + "issue:11014|issue:6028", + "issue:13124|issue:7330", + "issue:5857|issue:6382", + "issue:12157|issue:6353", + "issue:3040|issue:9901", + "issue:3794|issue:4304", + "issue:12529|issue:8667", + "issue:6427|issue:7178", + "issue:10928|issue:9044", + "issue:11362|issue:5374", + "issue:1709|issue:4073", + "issue:2089|issue:6697", + "issue:1246|issue:6482", + "issue:1925|issue:4086", + "issue:12174|issue:8182", + "issue:12492|issue:6955", + "issue:3279|issue:4733", + "issue:12826|issue:6636", + "issue:1552|issue:3420", + "issue:4186|issue:4483", + "issue:5054|issue:7784", + "issue:2132|issue:2947" + ], + "prepared_review_unit_hash": "7ece39c629a78266e75519623838fe7a1fecfce47fdef1f188bb0321540b660e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34812, + "estimated_input_tokens": 8703, + "estimated_eval_tokens": 17662 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft pairs are mostly false positives: they share vague error patterns but point to different models, pipelines, or code paths. This set is heterogeneous, so there is no meaningful canonical duplicate issue here.", + "confidence": 0.95, + "canonical_issue_reason": "No single issue is a good canonical representative; the items span unrelated subsystems (Flux device placement, DreamBooth FP16, import errors, model-specific mismatches, and training bugs).", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue: the cluster is too diverse for any one issue to summarize or absorb the others as duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9450", + "right": "issue:9895", + "accept": false, + "reason": "Both are Flux device-mismatch reports, but one is multi-GPU transformer setup and the other is a regression after a specific commit; likely related class, not the same bug." + }, + { + "left": "issue:4409", + "right": "issue:5518", + "accept": false, + "reason": "Both mention attribute errors in UNet/LoRA contexts, but the missing attributes are different and point to different failure paths." + }, + { + "left": "issue:11014", + "right": "issue:6028", + "accept": false, + "reason": "Both are OOM reports, but they involve different models and scenarios; generic memory exhaustion is not enough to merge." + }, + { + "left": "issue:13124", + "right": "issue:7330", + "accept": false, + "reason": "Both involve FP16 gradient unscale errors, but one is triggered by validation_prompt in DreamBooth LoRA and the other by a text-to-image LoRA script." + }, + { + "left": "issue:5857", + "right": "issue:6382", + "accept": false, + "reason": "Both are LoRA-related training issues, but one is an AnimateDiff LCM behavior problem and the other is an IP-Adapter key error after SDXL training." + }, + { + "left": "issue:12157", + "right": "issue:6353", + "accept": false, + "reason": "Different code paths: one is Qwen-Image training with bnb quantization config, the other is an SDXL controlnet example failure." + }, + { + "left": "issue:3040", + "right": "issue:9901", + "accept": false, + "reason": "Both are generic attribute/type errors, but they concern unrelated objects and processors, with no shared concrete bug." + }, + { + "left": "issue:3794", + "right": "issue:4304", + "accept": false, + "reason": "One asks for bucket training support, the other requests SDXL text-to-image LoRA support; feature request, not duplicate bug." + }, + { + "left": "issue:12529", + "right": "issue:8667", + "accept": false, + "reason": "Both are tensor size mismatch errors, but they affect different models and image-shape conditions; not the same underlying fix." + }, + { + "left": "issue:6427", + "right": "issue:7178", + "accept": false, + "reason": "Both concern export/conversion workflows, but one is diffusers-to-ckpt conversion and the other is export_to_video behavior; different functionality." + }, + { + "left": "issue:10928", + "right": "issue:9044", + "accept": false, + "reason": "Both are missing-weight-file OSErrors, but they reference different filenames and model repositories." + }, + { + "left": "issue:11362", + "right": "issue:5374", + "accept": false, + "reason": "Both are unexpected keyword argument errors, but for different arguments and different APIs." + }, + { + "left": "issue:1709", + "right": "issue:4073", + "accept": false, + "reason": "Both mention Tensor.astype, but one is an ONNX img2img pipeline and the other is the DeepFloyd IF safety checker; different code paths." + }, + { + "left": "issue:2089", + "right": "issue:6697", + "accept": false, + "reason": "Both are training OOMs, but they involve different model families and likely different memory profiles/settings." + }, + { + "left": "issue:1246", + "right": "issue:6482", + "accept": false, + "reason": "Both report Attempting to unscale FP16 gradients, but one is the original Dreambooth example and the other is an SDXL advanced resume-from-checkpoint path." + }, + { + "left": "issue:1925", + "right": "issue:4086", + "accept": false, + "reason": "Different problems: half precision in SD2 inpainting versus SDXL controlnet training not working." + }, + { + "left": "issue:12174", + "right": "issue:8182", + "accept": false, + "reason": "Both are attribute errors, but they are unrelated symbols and do not indicate the same bug." + }, + { + "left": "issue:12492", + "right": "issue:6955", + "accept": false, + "reason": "Both are import/module attribute issues, but they involve different libraries and different missing symbols." + }, + { + "left": "issue:3279", + "right": "issue:4733", + "accept": false, + "reason": "Both are checkpoint resume failures in DreamBooth LoRA, but the exact optimizer/checkpoint error differs and the reports are not clearly the same bug." + }, + { + "left": "issue:12826", + "right": "issue:6636", + "accept": false, + "reason": "Both are import-related, but one is missing export_to_video and the other is missing DIFFUSERS_SLOW_IMPORT; unrelated symbols." + }, + { + "left": "issue:1552", + "right": "issue:3420", + "accept": false, + "reason": "Both mention diffusion pipelines with inpainting/controlnet, but one is attention slicing on SD2 and the other is a pipeline compatibility issue; not the same fix." + }, + { + "left": "issue:4186", + "right": "issue:4483", + "accept": false, + "reason": "Different issues: SDXL inpaint with refiner versus generator non-determinism." + }, + { + "left": "issue:5054", + "right": "issue:7784", + "accept": false, + "reason": "Both are pipeline attribute errors, but the missing attributes are different and affect different pipelines." + }, + { + "left": "issue:2132", + "right": "issue:2947", + "accept": false, + "reason": "Both are AttributeErrors in training/inference code, but they concern different missing Accelerator/UNet APIs and different execution paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 25, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10226", + "issue:10839", + "issue:11005", + "issue:11045", + "issue:11581", + "issue:1246", + "issue:12492", + "issue:1263", + "issue:13087", + "issue:1709", + "issue:1976", + "issue:1988", + "issue:246", + "issue:2571", + "issue:2616", + "issue:3382", + "issue:3565", + "issue:4137", + "issue:4308", + "issue:4324", + "issue:4492", + "issue:4649", + "issue:4736", + "issue:4868", + "issue:4925", + "issue:5016", + "issue:5259", + "issue:5805", + "issue:6098", + "issue:6142", + "issue:6281", + "issue:646", + "issue:6697", + "issue:7114", + "issue:7133", + "issue:7146", + "issue:7228", + "issue:7432", + "issue:7516", + "issue:7681", + "issue:8307", + "issue:858", + "issue:8613", + "issue:9026", + "issue:9227", + "issue:9393", + "issue:9548", + "issue:9901" + ], + "soft_pairs": [ + "issue:11581|issue:9026", + "issue:1263|issue:13087", + "issue:7228|issue:9901", + "issue:10226|issue:7133", + "issue:2616|issue:646", + "issue:4925|issue:6697", + "issue:11005|issue:4308", + "issue:246|issue:858", + "issue:2571|issue:6281", + "issue:1246|issue:6098", + "issue:4324|issue:4649", + "issue:7146|issue:8613", + "issue:1709|issue:8307", + "issue:3382|issue:3565", + "issue:4736|issue:7114", + "issue:10839|issue:9548", + "issue:11045|issue:9227", + "issue:4868|issue:9901", + "issue:5016|issue:9393", + "issue:4137|issue:7432", + "issue:7516|issue:858", + "issue:1976|issue:5259", + "issue:4492|issue:6142", + "issue:12492|issue:7681", + "issue:1988|issue:5805" + ], + "prepared_review_unit_hash": "0e2945d4bf4428c7c54373da7cd2f8867309609d38f8615ed932ecc041fa9478", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 35070, + "estimated_input_tokens": 8768, + "estimated_eval_tokens": 17792 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab-bag of loosely related training/import/runtime issues, not one single bug. A couple of soft pairs are close enough to treat as duplicates, but most are only sharing a subsystem or error shape and should stay separate.", + "confidence": 0.61, + "canonical_issue_reason": "issue:9227 is the broadest Flux Dreambooth/LoRA training report here, with the clearest umbrella scope and an open thread that later Flux training complaints can point back to.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9227 is the best global issue candidate because it is the most general, model-specific Flux training entry and can serve as the umbrella for related Flux Dreambooth/LoRA failures.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11581", + "right": "issue:9026", + "accept": false, + "reason": "Different failure modes: IP Adapter/CLIPVision dtype init error vs accelerate dispatch keyword mismatch." + }, + { + "left": "issue:1263", + "right": "issue:13087", + "accept": false, + "reason": "Both are import errors, but for unrelated symbols and pipelines; not the same bug." + }, + { + "left": "issue:7228", + "right": "issue:9901", + "accept": false, + "reason": "Different runtime errors in different code paths; no sign of a shared root cause." + }, + { + "left": "issue:10226", + "right": "issue:7133", + "accept": false, + "reason": "Both mention size mismatch, but one is Flux Dreambooth LoRA and the other is SDXL resume-from-checkpoint text-encoder mismatch." + }, + { + "left": "issue:2616", + "right": "issue:646", + "accept": false, + "reason": "Unrelated issues: a NoneType replace failure during save_attn_procs vs a scheduler API attribute error." + }, + { + "left": "issue:4925", + "right": "issue:6697", + "accept": false, + "reason": "Both are OOM reports, but they are different scripts and setups; that alone is not a duplicate." + }, + { + "left": "issue:11005", + "right": "issue:4308", + "accept": false, + "reason": "Same general docstring/default mismatch pattern, but for different pipelines and parameters." + }, + { + "left": "issue:246", + "right": "issue:858", + "accept": false, + "reason": "Different attribute errors in unrelated parts of the stack." + }, + { + "left": "issue:2571", + "right": "issue:6281", + "accept": false, + "reason": "Different missing imports from different packages/classes; not the same underlying issue." + }, + { + "left": "issue:1246", + "right": "issue:6098", + "accept": true, + "reason": "Same fp16 gradient unscale failure in Dreambooth training; the error message and context align closely enough to be duplicates." + }, + { + "left": "issue:4324", + "right": "issue:4649", + "accept": true, + "reason": "Both point to the same NoneType-in-added_cond_kwargs / unet forward failure; one is the explicit line, the other the propagated forward() error." + }, + { + "left": "issue:7146", + "right": "issue:8613", + "accept": false, + "reason": "Both are OOMs, but in different SDXL training contexts; this looks like capacity/setup, not one concrete bug." + }, + { + "left": "issue:1709", + "right": "issue:8307", + "accept": false, + "reason": "Different attribute/import problems in different pipelines; no shared code-path evidence." + }, + { + "left": "issue:3382", + "right": "issue:3565", + "accept": false, + "reason": "Both mention CUDA OOM in text-to-image training, but they are distinct reports and not clearly the same defect." + }, + { + "left": "issue:4736", + "right": "issue:7114", + "accept": false, + "reason": "Same broad OOM symptom during training, but different scripts and scenarios; too generic to merge." + }, + { + "left": "issue:10839", + "right": "issue:9548", + "accept": false, + "reason": "Both are Flux Dreambooth LoRA complaints, but the titles suggest different reproductions and not a clearly identical failure." + }, + { + "left": "issue:11045", + "right": "issue:9227", + "accept": false, + "reason": "Same training script family, but different model variants and error descriptions; not enough to call them the same bug." + }, + { + "left": "issue:4868", + "right": "issue:9901", + "accept": false, + "reason": "Different attribute error patterns in unrelated code paths." + }, + { + "left": "issue:5016", + "right": "issue:9393", + "accept": false, + "reason": "Both are Flux Dreambooth LoRA-related, but one is about training text encoders and the other about saving with deepspeed; distinct failures." + }, + { + "left": "issue:4137", + "right": "issue:7432", + "accept": false, + "reason": "Both discuss output differences versus WebUI, but they are different contexts and not the same concrete issue." + }, + { + "left": "issue:7516", + "right": "issue:858", + "accept": false, + "reason": "Different missing-attribute failures in different modules." + }, + { + "left": "issue:1976", + "right": "issue:5259", + "accept": false, + "reason": "Both are file/path lookup errors, but the missing files and code paths are different." + }, + { + "left": "issue:4492", + "right": "issue:6142", + "accept": false, + "reason": "Both are NameErrors, but for unrelated names and likely unrelated causes." + }, + { + "left": "issue:12492", + "right": "issue:7681", + "accept": false, + "reason": "Different import/runtime failures; no common underlying bug is evident." + }, + { + "left": "issue:1988", + "right": "issue:5805", + "accept": false, + "reason": "Both mention type mismatches, but they occur in different pipelines and under different conditions." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary stays grounded in the packet and the soft-edge calls are conservative overall. The two accepted pairs look well supported by the titles alone, and the rejected pairs mostly rely on different error sites, different pipelines, or only broad symptom overlap. The choice of issue:9227 as the umbrella Flux training issue is reasonable given the available evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 26, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10062", + "issue:10154", + "issue:10500", + "issue:10591", + "issue:1249", + "issue:1255", + "issue:1260", + "issue:13087", + "issue:1377", + "issue:1544", + "issue:1709", + "issue:1925", + "issue:2044", + "issue:234", + "issue:2556", + "issue:2947", + "issue:3026", + "issue:3140", + "issue:3202", + "issue:3489", + "issue:4086", + "issue:4104", + "issue:4224", + "issue:4265", + "issue:4282", + "issue:4724", + "issue:5518", + "issue:6044", + "issue:6324", + "issue:6371", + "issue:646", + "issue:7276", + "issue:7483", + "issue:7516", + "issue:7574", + "issue:7681", + "issue:7728", + "issue:8320", + "issue:8537", + "issue:8759", + "issue:8887", + "issue:8975", + "issue:9111", + "issue:9450", + "issue:9505", + "issue:9527", + "issue:9630" + ], + "soft_pairs": [ + "issue:2044|issue:6044", + "issue:3026|issue:7728", + "issue:4104|issue:8759", + "issue:10062|issue:1544", + "issue:646|issue:8320", + "issue:4086|issue:4724", + "issue:3489|issue:6324", + "issue:1925|issue:234", + "issue:1260|issue:8975", + "issue:10500|issue:9450", + "issue:2556|issue:4282", + "issue:4224|issue:5518", + "issue:9527|issue:9630", + "issue:1255|issue:4265", + "issue:1377|issue:3140", + "issue:3202|issue:7516", + "issue:10591|issue:8887", + "issue:13087|issue:4265", + "issue:2947|issue:3489", + "issue:10154|issue:1709", + "issue:6371|issue:7276", + "issue:7681|issue:8537", + "issue:7574|issue:9505", + "issue:1249|issue:9111", + "issue:4724|issue:7483" + ], + "prepared_review_unit_hash": "6aad5d296f414992416d848121bea7cbab5cdb738bb1a975bd3ddfc8157fe513", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34526, + "estimated_input_tokens": 8632, + "estimated_eval_tokens": 17520 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is fairly heterogeneous, but a few soft pairs are genuine duplicates: black-image/invalid-cast reports, half-precision pipeline failures, the Multi-ControlNet feature request, and the upscaling KeyError. Most other pairs are only thematically similar (imports, attribute errors, training-script issues) and should stay separate.", + "confidence": 0.43, + "canonical_issue_reason": "issue:2556 is the most central, high-activity issue in the set and has a clear duplicate in issue:4282; it also represents a broader, actionable request rather than a narrowly specific runtime error.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2556 is the strongest representative issue overall because it has the highest discussion activity and a straightforward duplicate relationship, making it the best anchor for this cluster despite the mixed topic spread.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2044", + "right": "issue:6044", + "accept": false, + "reason": "Both are attribute errors, but on different objects and code paths ('DistributedDataParallel.dtype' vs 'StableDiffusionImg2ImgPipeline.do_classifier_free_guidance')." + }, + { + "left": "issue:3026", + "right": "issue:7728", + "accept": false, + "reason": "Both involve training/accelerate errors, but the models, scripts, and failure modes are different." + }, + { + "left": "issue:4104", + "right": "issue:8759", + "accept": true, + "reason": "Both point to the same image postprocessing bug: invalid values during cast leading to black/incorrect images in the SD3/image processor path." + }, + { + "left": "issue:10062", + "right": "issue:1544", + "accept": false, + "reason": "Different missing-attribute failures on unrelated classes ('peft_config' on UNet vs 'get_velocity' on scheduler)." + }, + { + "left": "issue:646", + "right": "issue:8320", + "accept": false, + "reason": "Unrelated errors: one is a scheduler API mismatch, the other is a from_single_file AutoencoderKL type/name issue." + }, + { + "left": "issue:4086", + "right": "issue:4724", + "accept": false, + "reason": "Both mention SDXL, but one is ControlNet training and the other is img2img inference behavior; not the same bug." + }, + { + "left": "issue:3489", + "right": "issue:6324", + "accept": false, + "reason": "Different failures in different subsystems: ONNX model config access vs a boolean type introspection error." + }, + { + "left": "issue:1925", + "right": "issue:234", + "accept": true, + "reason": "Same underlying half-precision stability problem in Stable Diffusion pipelines; the titles describe the same class of failure." + }, + { + "left": "issue:1260", + "right": "issue:8975", + "accept": false, + "reason": "Both are import errors, but they concern different missing symbols and are not the same concrete import bug." + }, + { + "left": "issue:10500", + "right": "issue:9450", + "accept": false, + "reason": "Both are device-mismatch errors, but they affect different pipelines/models and appear to be separate code paths." + }, + { + "left": "issue:2556", + "right": "issue:4282", + "accept": true, + "reason": "Same feature request: add a Multi-ControlNet pipeline." + }, + { + "left": "issue:4224", + "right": "issue:5518", + "accept": false, + "reason": "Both are attribute errors, but on different components and unrelated causes ('control_model' vs 'time')." + }, + { + "left": "issue:9527", + "right": "issue:9630", + "accept": false, + "reason": "Both involve Flux/controlnet training, but the reported bugs are different (dtype mismatch vs num_single_layers configuration on single GPU)." + }, + { + "left": "issue:1255", + "right": "issue:4265", + "accept": false, + "reason": "Different missing pipeline imports; same broad import area, but not the same symbol or fix." + }, + { + "left": "issue:1377", + "right": "issue:3140", + "accept": false, + "reason": "Different missing imports from different packages/classes; not a duplicate." + }, + { + "left": "issue:3202", + "right": "issue:7516", + "accept": false, + "reason": "Distinct attribute errors affecting different pipelines ('enable_vae_tiling' vs DepthNormalEstimationPipeline export)." + }, + { + "left": "issue:10591", + "right": "issue:8887", + "accept": false, + "reason": "Both touch SD3 training scripts, but one is a vague script issue and the other is a specific wrong VAE-encode bug." + }, + { + "left": "issue:13087", + "right": "issue:4265", + "accept": false, + "reason": "Different missing pipeline classes; same theme, but not the same import failure." + }, + { + "left": "issue:2947", + "right": "issue:3489", + "accept": false, + "reason": "Different attribute/config issues in different subsystems; no concrete overlap." + }, + { + "left": "issue:10154", + "right": "issue:1709", + "accept": false, + "reason": "One is a LoRA loading attribute error; the other is a tensor/numpy type error in ONNX img2img." + }, + { + "left": "issue:6371", + "right": "issue:7276", + "accept": false, + "reason": "Different bug classes: a controlnet_xs assertion vs network errors in dreambooth example setup." + }, + { + "left": "issue:7681", + "right": "issue:8537", + "accept": false, + "reason": "Completely different import/runtime failures: OpenSSL/lib symbol issue vs missing torch float8 attribute." + }, + { + "left": "issue:7574", + "right": "issue:9505", + "accept": true, + "reason": "Same concrete KeyError on 'middle_block_out.0.weight' during upscaling." + }, + { + "left": "issue:1249", + "right": "issue:9111", + "accept": false, + "reason": "Different failures: ONNX pipeline device access vs BitDiffusion missing scheduler attribute." + }, + { + "left": "issue:4724", + "right": "issue:7483", + "accept": false, + "reason": "Both relate to SDXL, but one is an img2img pipeline behavior issue and the other is a LoRA conversion script problem; not the same bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays mostly conservative. The canonical issue choice (issue:2556 over issue:4282) is supported by the higher discussion activity and the duplicate title. The accepted soft pairs are all plausibly duplicate/near-duplicate at the title level, especially the exact Multi-ControlNet pair, the black-image/cast pair, and the upscaling KeyError pair. The non-accepted pairs are appropriately cautious. Overall this looks consistent with the evidence provided." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 27, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10594", + "issue:11199", + "issue:11436", + "issue:12459", + "issue:1263", + "issue:1264", + "issue:12689", + "issue:12826", + "issue:1315", + "issue:13300", + "issue:1377", + "issue:1544", + "issue:1875", + "issue:1925", + "issue:1988", + "issue:3211", + "issue:3489", + "issue:3648", + "issue:4118", + "issue:4409", + "issue:4557", + "issue:4724", + "issue:5246", + "issue:5603", + "issue:5757", + "issue:5840", + "issue:6028", + "issue:6044", + "issue:6252", + "issue:6298", + "issue:6415", + "issue:6517", + "issue:7114", + "issue:7228", + "issue:7311", + "issue:7708", + "issue:7766", + "issue:851", + "issue:8537", + "issue:858", + "issue:8659", + "issue:8863", + "issue:9111", + "issue:9630", + "issue:9780", + "issue:9911", + "issue:993" + ], + "soft_pairs": [ + "issue:6028|issue:7114", + "issue:7228|issue:858", + "issue:7311|issue:8659", + "issue:6415|issue:7766", + "issue:3211|issue:4409", + "issue:5757|issue:5840", + "issue:1263|issue:1315", + "issue:4118|issue:8537", + "issue:3489|issue:4557", + "issue:10594|issue:12459", + "issue:12826|issue:5603", + "issue:1875|issue:1988", + "issue:13300|issue:993", + "issue:1264|issue:3648", + "issue:6298|issue:9780", + "issue:12689|issue:6252", + "issue:5246|issue:8537", + "issue:1544|issue:9111", + "issue:11199|issue:6517", + "issue:9630|issue:9911", + "issue:1925|issue:4724", + "issue:1315|issue:1377", + "issue:11436|issue:851", + "issue:4724|issue:7708", + "issue:6044|issue:8863" + ], + "prepared_review_unit_hash": "6e72a2126879ca516374e40a688396d825839f1810e5843c6b9eb9fe03c7a814", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34299, + "estimated_input_tokens": 8575, + "estimated_eval_tokens": 17406 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated Diffusers bug reports (imports, missing attributes, dtype mismatches, OOM, and performance issues). The only clear duplicate-style pairs are the LoRA checkpoint-loading reports and the DreamBooth LoRA resume reports.", + "confidence": 0.74, + "canonical_issue_reason": "issue:12689 is the clearest concrete bug report here and has a near-exact duplicate in 6252 about LoRA weights not loading from checkpoints.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12689 best represents the duplicate-worthy problem in this cluster: a specific LoRA checkpoint-loading failure with a strong same-bug counterpart.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6028", + "right": "issue:7114", + "accept": false, + "reason": "Both mention memory pressure, but one is Kandinsky 3.0 OOM and the other is SDXL text-to-image training OOM; different code paths and scenarios." + }, + { + "left": "issue:7228", + "right": "issue:858", + "accept": false, + "reason": "Both are generic attribute errors, but they involve unrelated objects and missing methods; no evidence of the same bug." + }, + { + "left": "issue:7311", + "right": "issue:8659", + "accept": false, + "reason": "Both concern checkpoint/save-resume behavior, but they are different SDXL training scripts with different failure modes." + }, + { + "left": "issue:6415", + "right": "issue:7766", + "accept": false, + "reason": "Same feature area (IP-Adapter FaceID), but one is a support request and the other is a missing-support bug; not the same underlying defect." + }, + { + "left": "issue:3211", + "right": "issue:4409", + "accept": false, + "reason": "Different missing-attribute errors on different pipeline objects; too broad to treat as one bug." + }, + { + "left": "issue:5757", + "right": "issue:5840", + "accept": true, + "reason": "Both report the same DreamBooth LoRA SDXL resume-from-checkpoint failure in the same script, just phrased differently." + }, + { + "left": "issue:1263", + "right": "issue:1315", + "accept": false, + "reason": "Both are import errors, but they involve different missing symbols and modules, so they are not the same defect." + }, + { + "left": "issue:4118", + "right": "issue:8537", + "accept": false, + "reason": "Both are API/version mismatch style errors, but they are unrelated objects and missing attributes; not the same code-path problem." + }, + { + "left": "issue:3489", + "right": "issue:4557", + "accept": false, + "reason": "Different ONNX/runtime attribute errors with no clear shared root cause." + }, + { + "left": "issue:10594", + "right": "issue:12459", + "accept": false, + "reason": "One is a FLUX LoRA + multi-control setup issue, the other is a batch inference throughput problem; different problems." + }, + { + "left": "issue:12826", + "right": "issue:5603", + "accept": false, + "reason": "Both are import-name issues, but they refer to different functions/symbols and likely different releases/fixes." + }, + { + "left": "issue:1875", + "right": "issue:1988", + "accept": false, + "reason": "Both mention fp16/bf16 type mismatches, but they arise in different training examples and are not clearly the same bug." + }, + { + "left": "issue:13300", + "right": "issue:993", + "accept": false, + "reason": "Both concern dtype/CPU inference failures, but one is modern SD3.5/FLUX CPU generation and the other is generic fp16 stable diffusion; too different." + }, + { + "left": "issue:1264", + "right": "issue:3648", + "accept": false, + "reason": "Unrelated topics: hard-coded noise scheduler value versus VRAM requirements." + }, + { + "left": "issue:6298", + "right": "issue:9780", + "accept": false, + "reason": "Both are model/pipeline attribute complaints, but the missing attributes and pipelines differ substantially." + }, + { + "left": "issue:12689", + "right": "issue:6252", + "accept": true, + "reason": "Near-exact duplicate reports of LoRA adapter weights not being loaded from checkpoints." + }, + { + "left": "issue:5246", + "right": "issue:8537", + "accept": false, + "reason": "Different missing-symbol/model-loading problems; one is CLIPImageProjection, the other is float8 support." + }, + { + "left": "issue:1544", + "right": "issue:9111", + "accept": false, + "reason": "A scheduler method missing in Stable Diffusion 2 is not the same as BitDiffusion lacking a scheduler attribute." + }, + { + "left": "issue:11199", + "right": "issue:6517", + "accept": false, + "reason": "Both are import failures, but they reference different modules/pipelines and do not look like one shared bug." + }, + { + "left": "issue:9630", + "right": "issue:9911", + "accept": false, + "reason": "Both involve FLUX controlnet, but one is a single-GPU/multi-GPU configuration error and the other is multi-controlnet layer-length mismatch." + }, + { + "left": "issue:1925", + "right": "issue:4724", + "accept": false, + "reason": "Different pipelines and symptoms; one is half-precision inpainting, the other SDXL img2img behavior with a checkpoint." + }, + { + "left": "issue:1315", + "right": "issue:1377", + "accept": false, + "reason": "Both are import errors, but they are for different packages and missing names, so they are not duplicates." + }, + { + "left": "issue:11436", + "right": "issue:851", + "accept": false, + "reason": "Both are dtype mismatch errors, but they are different models and exact type combinations; too generic to merge." + }, + { + "left": "issue:4724", + "right": "issue:7708", + "accept": false, + "reason": "One is an img2img behavior bug, the other is a tokenizer config file missing; unrelated." + }, + { + "left": "issue:6044", + "right": "issue:8863", + "accept": false, + "reason": "A missing classifier-free-guidance attribute in img2img is unrelated to a tuple-shape error." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The LoRA checkpoint-loading pair (12689/6252) is well-supported, the DreamBooth resume pair (5757/5840) also looks like a plausible duplicate-style match, and the remaining soft-edge rejections avoid overstating weak similarity. No mergeability issues apply here because this is not a PR pair." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 28, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10062", + "issue:1100", + "issue:11447", + "issue:11978", + "issue:1249", + "issue:1255", + "issue:1572", + "issue:1709", + "issue:1717", + "issue:1842", + "issue:2044", + "issue:2100", + "issue:2234", + "issue:2984", + "issue:3094", + "issue:3211", + "issue:3382", + "issue:3728", + "issue:4194", + "issue:4224", + "issue:4316", + "issue:4331", + "issue:4409", + "issue:4667", + "issue:4969", + "issue:499", + "issue:5016", + "issue:5509", + "issue:5565", + "issue:5619", + "issue:5760", + "issue:5992", + "issue:6028", + "issue:6044", + "issue:6154", + "issue:6362", + "issue:6382", + "issue:6536", + "issue:7114", + "issue:7214", + "issue:7228", + "issue:7660", + "issue:8307", + "issue:8939", + "issue:9026", + "issue:9115", + "issue:9534", + "issue:9973" + ], + "soft_pairs": [ + "issue:1842|issue:9026", + "issue:2984|issue:5760", + "issue:10062|issue:1100", + "issue:5509|issue:7214", + "issue:6362|issue:6536", + "issue:2044|issue:8307", + "issue:3211|issue:4224", + "issue:1249|issue:9534", + "issue:1709|issue:9534", + "issue:1255|issue:2100", + "issue:1249|issue:7228", + "issue:3382|issue:6028", + "issue:11978|issue:3728", + "issue:1572|issue:5619", + "issue:1255|issue:4969", + "issue:2234|issue:8939", + "issue:4409|issue:5992", + "issue:499|issue:7660", + "issue:5016|issue:6154", + "issue:1249|issue:6044", + "issue:3094|issue:7114", + "issue:4316|issue:4331", + "issue:11447|issue:1717", + "issue:5565|issue:9973", + "issue:6382|issue:9115", + "issue:4194|issue:4667" + ], + "prepared_review_unit_hash": "3733e3f243bce438bed9dc5e7a31adc697f994c9840ae64ce19a86038711f6a9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 35383, + "estimated_input_tokens": 8846, + "estimated_eval_tokens": 17948 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is over-broad: it mixes many unrelated diffusers issues (missing attrs, import errors, OOMs, example regressions, and new-pipeline requests). I only see two plausible duplicate pairs: the HF_HUB_OFFLINE loading failures and the StableDiffusionPipeline.from_single_file regression.", + "confidence": 0.9, + "canonical_issue_reason": "No single canonical issue cleanly represents the whole cluster; the strongest duplicate-like subgroup is the offline-cache bug, where issue 1717 is the broader, more canonical wording compared with 11447.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1717 is the best issue representative because it states the broad offline-cache loading failure and also matches 11447\u2019s shard-loading symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1842", + "right": "issue:9026", + "accept": false, + "reason": "Both are TypeErrors, but they come from different code paths and different kwargs; not the same underlying bug." + }, + { + "left": "issue:2984", + "right": "issue:5760", + "accept": false, + "reason": "Completely unrelated research/model announcement issues, not duplicates." + }, + { + "left": "issue:10062", + "right": "issue:1100", + "accept": false, + "reason": "Both mention missing attributes, but the models, attributes, and failure contexts differ." + }, + { + "left": "issue:5509", + "right": "issue:7214", + "accept": false, + "reason": "Different failures: image batch-size validation vs scheduler karras_sigma behavior." + }, + { + "left": "issue:6362", + "right": "issue:6536", + "accept": false, + "reason": "Both are OOM reports, but for different models and training paths; too broad to merge." + }, + { + "left": "issue:2044", + "right": "issue:8307", + "accept": false, + "reason": "Missing dtype on DDP vs missing StableCascadeUNet export are unrelated attribute errors." + }, + { + "left": "issue:3211", + "right": "issue:4224", + "accept": false, + "reason": "Both are missing pipeline attrs, but they affect different attributes and different pipeline features." + }, + { + "left": "issue:1249", + "right": "issue:9534", + "accept": false, + "reason": "Different pipeline/model attribute errors with no clear shared code path." + }, + { + "left": "issue:1709", + "right": "issue:9534", + "accept": false, + "reason": "ONNX Tensor astype error and FluxMultiControlNetModel config error are unrelated." + }, + { + "left": "issue:1255", + "right": "issue:2100", + "accept": false, + "reason": "Both are import errors, but for different symbols and likely different export gaps." + }, + { + "left": "issue:1249", + "right": "issue:7228", + "accept": false, + "reason": "Different missing-attribute failures in different loading/tracing paths." + }, + { + "left": "issue:3382", + "right": "issue:6028", + "accept": false, + "reason": "Both involve OOM, but in different scripts and models; not the same bug." + }, + { + "left": "issue:11978", + "right": "issue:3728", + "accept": false, + "reason": "A pipeline feature request and a different new-pipeline request are not duplicates." + }, + { + "left": "issue:1572", + "right": "issue:5619", + "accept": false, + "reason": "Both concern img2img-like behavior, but they target different pipelines and symptoms." + }, + { + "left": "issue:1255", + "right": "issue:4969", + "accept": false, + "reason": "Separate import failures for different classes; no shared concrete bug." + }, + { + "left": "issue:2234", + "right": "issue:8939", + "accept": false, + "reason": "Training/xformers issue vs tokenizer loading issue for a different model release." + }, + { + "left": "issue:4409", + "right": "issue:5992", + "accept": false, + "reason": "Different attribute/error classes in unrelated code paths." + }, + { + "left": "issue:499", + "right": "issue:7660", + "accept": false, + "reason": "Both mention examples, but they are different examples with different failures." + }, + { + "left": "issue:5016", + "right": "issue:6154", + "accept": false, + "reason": "Both are SDXL LoRA training reports, but one is about text encoder training and the other about M2 Mac compatibility." + }, + { + "left": "issue:1249", + "right": "issue:6044", + "accept": false, + "reason": "Different missing-attribute errors in different pipeline behaviors." + }, + { + "left": "issue:3094", + "right": "issue:7114", + "accept": false, + "reason": "Both are training OOMs, but in different scripts and setups; too broad to be the same bug." + }, + { + "left": "issue:4316", + "right": "issue:4331", + "accept": false, + "reason": "Validation-option error and differing DreamBooth outputs are not the same underlying issue." + }, + { + "left": "issue:11447", + "right": "issue:1717", + "accept": true, + "reason": "Both describe the same HF_HUB_OFFLINE loading failure: cached/sharded checkpoint files are not loaded correctly offline." + }, + { + "left": "issue:5565", + "right": "issue:9973", + "accept": false, + "reason": "Different DreamBooth LoRA training failures with no shared concrete code path." + }, + { + "left": "issue:6382", + "right": "issue:9115", + "accept": false, + "reason": "Different adapter/model combination errors; not the same bug." + }, + { + "left": "issue:4194", + "right": "issue:4667", + "accept": true, + "reason": "Both point to the same from_single_file regression in StableDiffusionPipeline; 4194 is a specific VAE symptom of the broader API break." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative about the cluster being over-broad. The two accepted soft pairs, 11447\u21941717 and 4194\u21944667, are plausibly the same bugfix class; the rest are appropriately rejected as too broad or clearly unrelated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 29, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10029", + "issue:10169", + "issue:12174", + "issue:1263", + "issue:1444", + "issue:1565", + "issue:1709", + "issue:1866", + "issue:2044", + "issue:246", + "issue:3290", + "issue:3489", + "issue:3886", + "issue:4086", + "issue:4137", + "issue:4255", + "issue:4324", + "issue:4483", + "issue:4615", + "issue:4648", + "issue:4868", + "issue:490", + "issue:5374", + "issue:5565", + "issue:5919", + "issue:6218", + "issue:6324", + "issue:646", + "issue:6536", + "issue:6570", + "issue:6842", + "issue:6967", + "issue:6996", + "issue:7210", + "issue:7708", + "issue:7784", + "issue:8307", + "issue:8320", + "issue:852", + "issue:8552", + "issue:867", + "issue:9044", + "issue:9111", + "issue:9534", + "issue:9799", + "issue:9889", + "issue:9936", + "issue:9962" + ], + "soft_pairs": [ + "issue:5374|issue:852", + "issue:8552|issue:9889", + "issue:12174|issue:7210", + "issue:5374|issue:9962", + "issue:7784|issue:8320", + "issue:4324|issue:6996", + "issue:4137|issue:4255", + "issue:6570|issue:9799", + "issue:1263|issue:4615", + "issue:1444|issue:6842", + "issue:12174|issue:6324", + "issue:490|issue:867", + "issue:3489|issue:4868", + "issue:3290|issue:8307", + "issue:5565|issue:6967", + "issue:5919|issue:646", + "issue:1709|issue:9111", + "issue:10169|issue:4648", + "issue:1709|issue:246", + "issue:4483|issue:9044", + "issue:4086|issue:4483", + "issue:2044|issue:9534", + "issue:1565|issue:6536", + "issue:3886|issue:9936", + "issue:4483|issue:7708", + "issue:10029|issue:12174", + "issue:1866|issue:6218" + ], + "prepared_review_unit_hash": "7ff83e33041923527703caf93b96ae2e1b5e100dadf3c46504b58f4e607b5f04", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 35394, + "estimated_input_tokens": 8849, + "estimated_eval_tokens": 17954 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated attribute/import/runtime errors that only match at a very broad textual level. The only clear duplicate is the missing `config.json` report between issues 10169 and 4648.", + "confidence": 0.9, + "canonical_issue_reason": "issue:4648 is the most concrete version of the `config.json`-missing problem, with the explicit failing path and error text; issue:10169 is the same bug but stated more generically.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:4648 is the best representative of the true duplicate pair because it names the exact missing file and directory, making the underlying issue clearest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5374", + "right": "issue:852", + "accept": false, + "reason": "Both mention unexpected keyword arguments, but they refer to different arguments and likely different call sites." + }, + { + "left": "issue:8552", + "right": "issue:9889", + "accept": false, + "reason": "Both are segfault reports, but they involve different pipelines and different runtime setups; not the same concrete bug." + }, + { + "left": "issue:12174", + "right": "issue:7210", + "accept": false, + "reason": "Both are AttributeErrors, but on different missing methods in different code paths." + }, + { + "left": "issue:5374", + "right": "issue:9962", + "accept": false, + "reason": "Different unexpected keyword arguments; same error shape but not the same underlying defect." + }, + { + "left": "issue:7784", + "right": "issue:8320", + "accept": false, + "reason": "Different missing attributes in unrelated code paths." + }, + { + "left": "issue:4324", + "right": "issue:6996", + "accept": false, + "reason": "Both are NoneType-related errors, but the failing expressions and contexts are different." + }, + { + "left": "issue:4137", + "right": "issue:4255", + "accept": false, + "reason": "Both complain about output quality versus another implementation, but they are not the same bug or fix." + }, + { + "left": "issue:6570", + "right": "issue:9799", + "accept": false, + "reason": "Both are tensor size mismatches, but the shapes and pipelines differ; no clear shared root cause." + }, + { + "left": "issue:1263", + "right": "issue:4615", + "accept": false, + "reason": "Different missing import symbols; likely separate compatibility issues." + }, + { + "left": "issue:1444", + "right": "issue:6842", + "accept": false, + "reason": "Different missing imports for different pipeline classes." + }, + { + "left": "issue:12174", + "right": "issue:6324", + "accept": false, + "reason": "Different AttributeErrors with different objects and failure modes." + }, + { + "left": "issue:490", + "right": "issue:867", + "accept": false, + "reason": "Both concern memory, but one is general GPU memory use and the other is memory not being released in FastAPI; not the same bug." + }, + { + "left": "issue:3489", + "right": "issue:4868", + "accept": false, + "reason": "Different missing attributes on different objects and in different pipelines." + }, + { + "left": "issue:3290", + "right": "issue:8307", + "accept": false, + "reason": "A file flush NoneType error is unrelated to a missing exported class attribute." + }, + { + "left": "issue:5565", + "right": "issue:6967", + "accept": false, + "reason": "Both are dreambooth/LoRA script issues, but one is script startup and the other is a prior-preservation shape mismatch." + }, + { + "left": "issue:5919", + "right": "issue:646", + "accept": false, + "reason": "Both are missing-attribute errors, but on unrelated classes and code paths." + }, + { + "left": "issue:1709", + "right": "issue:9111", + "accept": false, + "reason": "ONNX tensor dtype conversion error versus a missing scheduler attribute; unrelated." + }, + { + "left": "issue:10169", + "right": "issue:4648", + "accept": true, + "reason": "Same underlying missing `config.json` problem; 4648 is the concrete report and 10169 is the generic duplicate." + }, + { + "left": "issue:1709", + "right": "issue:246", + "accept": false, + "reason": "Different errors in different components: ONNX tensor conversion versus missing transformer mixin import." + }, + { + "left": "issue:4483", + "right": "issue:9044", + "accept": false, + "reason": "Different SDXL-related failures: nondeterministic generation versus missing model file." + }, + { + "left": "issue:4086", + "right": "issue:4483", + "accept": false, + "reason": "Both are SDXL training/inference complaints, but one is controlnet training not working and the other is generator nondeterminism." + }, + { + "left": "issue:2044", + "right": "issue:9534", + "accept": false, + "reason": "Different missing attributes on different wrapper/model classes." + }, + { + "left": "issue:1565", + "right": "issue:6536", + "accept": false, + "reason": "Both mention OOM, but one is GPU selection behavior and the other is UNet3D training memory exhaustion." + }, + { + "left": "issue:3886", + "right": "issue:9936", + "accept": false, + "reason": "Both involve distributed training timeouts, but the scripts, models, and likely root causes differ." + }, + { + "left": "issue:4483", + "right": "issue:7708", + "accept": false, + "reason": "Nondeterminism versus missing tokenizer config file; unrelated." + }, + { + "left": "issue:10029", + "right": "issue:12174", + "accept": false, + "reason": "Both are attribute errors, but they concern different missing attributes and are not clearly the same bug." + }, + { + "left": "issue:1866", + "right": "issue:6218", + "accept": false, + "reason": "Both are pipeline behavior issues, but one is scheduler strength behavior and the other is batched seed handling." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: issue:10169 and issue:4648 both describe the same missing `config.json` problem, and the other soft-edge rejections stay conservative by relying on clearly different error contexts. No overstatement of evidence is apparent." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 30, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10436", + "issue:10612", + "issue:10933", + "issue:10989", + "issue:11062", + "issue:11178", + "issue:11209", + "issue:11224", + "issue:12499", + "issue:1260", + "issue:1263", + "issue:12896", + "issue:13429", + "issue:13430", + "issue:1495", + "issue:1925", + "issue:1962", + "issue:2390", + "issue:2437", + "issue:2635", + "issue:2676", + "issue:2830", + "issue:2838", + "issue:2904", + "issue:2984", + "issue:3432", + "issue:3453", + "issue:3728", + "issue:3788", + "issue:4094", + "issue:4241", + "issue:4779", + "issue:4945", + "issue:5455", + "issue:5630", + "issue:5689", + "issue:6149", + "issue:6636", + "issue:7228", + "issue:7513", + "issue:7593", + "issue:858", + "issue:9161", + "issue:9163", + "issue:9208", + "issue:9497", + "issue:9500", + "issue:9501" + ], + "soft_pairs": [ + "issue:10436|issue:1925", + "issue:10933|issue:6149", + "issue:1260|issue:6636", + "issue:1263|issue:1495", + "issue:2904|issue:7228", + "issue:4094|issue:4945", + "issue:7593|issue:858", + "issue:11209|issue:11224", + "issue:13429|issue:13430", + "issue:11062|issue:11209", + "issue:11062|issue:11224", + "issue:9500|issue:9501", + "issue:5455|issue:7513", + "issue:3728|issue:3788", + "issue:9161|issue:9163", + "issue:2830|issue:4779", + "issue:1962|issue:2984", + "issue:10612|issue:10989", + "issue:5630|issue:5689", + "issue:2838|issue:4241", + "issue:2390|issue:2437", + "issue:9497|issue:9500", + "issue:2635|issue:2676", + "issue:11178|issue:9208", + "issue:3432|issue:3453", + "issue:12499|issue:12896" + ], + "prepared_review_unit_hash": "d53e39062b6007f22d0486a8154c726d0bf5aa2b0346e07a7ea9f1098c169cb4", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34244, + "estimated_input_tokens": 8561, + "estimated_eval_tokens": 17378 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly several small duplicate candidates, not one single tight cluster. The clearest duplicate families are the generic LoRA-loading failures, T2I-Adapter support/pipeline requests, ControlNet from_single_file loading, and the two DPM++ scheduler-name questions.", + "confidence": 0.81, + "canonical_issue_reason": "issue:11224 is the broadest and cleanest umbrella for the LoRA-loading failure family: it is generic, open, and aligns with the more specific report in issue:11062 as well as the exact duplicate-like issue:11209.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11224 is the best overall issue candidate because its title is the most general and reusable for deduplicating related LoRA load failures without being tied to one specific model.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10436", + "right": "issue:1925", + "accept": false, + "reason": "Both are inpainting-loading complaints, but they involve different models and different failure modes (runwayml/stable-diffusion-inpainting vs SD2 half-precision)." + }, + { + "left": "issue:10933", + "right": "issue:6149", + "accept": false, + "reason": "Both mention IP-Adapter load errors, but they are for different model variants and likely different code paths." + }, + { + "left": "issue:1260", + "right": "issue:6636", + "accept": false, + "reason": "Both are import errors, but they concern unrelated symbols and unrelated breakages." + }, + { + "left": "issue:1263", + "right": "issue:1495", + "accept": false, + "reason": "Different missing imports with no clear shared bug or code path." + }, + { + "left": "issue:2904", + "right": "issue:7228", + "accept": false, + "reason": "AudioLDM scheduler failure and traced-model dtype attribute error are unrelated." + }, + { + "left": "issue:4094", + "right": "issue:4945", + "accept": false, + "reason": "One is a feature request, the other is a test request; not the same underlying change." + }, + { + "left": "issue:7593", + "right": "issue:858", + "accept": false, + "reason": "Different subsystems and different errors; no shared concrete bug." + }, + { + "left": "issue:11209", + "right": "issue:11224", + "accept": true, + "reason": "Near-identical generic LoRA loading failure titles; these look like the same underlying bug." + }, + { + "left": "issue:13429", + "right": "issue:13430", + "accept": true, + "reason": "Both are the same JoyAI-Image-Edit support request, phrased as add/support." + }, + { + "left": "issue:11062", + "right": "issue:11209", + "accept": true, + "reason": "Specific LoRA load failure report vs the generic LoRA loading error; same family and likely same bug." + }, + { + "left": "issue:11062", + "right": "issue:11224", + "accept": true, + "reason": "Same LoRA loading failure family; the specific CivitAI model report fits the broader generic issue." + }, + { + "left": "issue:9500", + "right": "issue:9501", + "accept": false, + "reason": "Both are Dreambooth Flux save-related, but one is a checkpoint failure and the other is a long delay; not clearly the same bug." + }, + { + "left": "issue:5455", + "right": "issue:7513", + "accept": false, + "reason": "Both involve training problems, but one is a notebook subprocess failure and the other is a GPU/memory training issue." + }, + { + "left": "issue:3728", + "right": "issue:3788", + "accept": false, + "reason": "Both are new pipeline feature requests, but for different pipelines/models." + }, + { + "left": "issue:9161", + "right": "issue:9163", + "accept": false, + "reason": "Same script, but the issues describe different bug classes (distributed bugs vs tensor bugs) rather than one concrete defect." + }, + { + "left": "issue:2830", + "right": "issue:4779", + "accept": false, + "reason": "Both reference ModelScope video ideas, but one is a capability question and the other is a pipeline request; not the same change." + }, + { + "left": "issue:1962", + "right": "issue:2984", + "accept": false, + "reason": "Generic video-generation interest vs a specific latent video diffusion paper/model request; not the same issue." + }, + { + "left": "issue:10612", + "right": "issue:10989", + "accept": false, + "reason": "Both mention quantized Flux + LoRA loading, but they target different pipelines/components and are not clearly the same bug." + }, + { + "left": "issue:5630", + "right": "issue:5689", + "accept": false, + "reason": "Similar symptom, but different schedulers and different issue scopes; too broad to treat as one bug." + }, + { + "left": "issue:2838", + "right": "issue:4241", + "accept": false, + "reason": "Unrelated ControlNet pipeline behavior question vs unidiffusers LoRA fine-tuning support request." + }, + { + "left": "issue:2390", + "right": "issue:2437", + "accept": true, + "reason": "Same T2I-Adapter feature area; one asks for support, the other for the pipeline addition." + }, + { + "left": "issue:2635", + "right": "issue:2676", + "accept": true, + "reason": "Both ask what diffusers scheduler names correspond to DPM++ Karras variants." + }, + { + "left": "issue:11178", + "right": "issue:9208", + "accept": true, + "reason": "Both are about ControlNet models failing to load with from_single_file(); one is specific, the other general." + }, + { + "left": "issue:9497", + "right": "issue:9500", + "accept": false, + "reason": "Both are Flux Dreambooth training issues, but one is a matmul shape error and the other is a checkpoint-saving problem." + }, + { + "left": "issue:12499", + "right": "issue:12896", + "accept": false, + "reason": "Same Wan 2.2 I2V area, but the failures are described differently and are not clearly the same concrete bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The judgments are conservative and supported by the packet. The summary correctly frames this as several small duplicate/support families rather than one tight cluster, and the accepted soft-edge pairs all have clear title-level similarity. No pair seems overclaimed beyond the evidence provided." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 31, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10144", + "issue:10343", + "issue:11062", + "issue:11209", + "issue:11224", + "issue:11286", + "issue:11374", + "issue:11569", + "issue:11657", + "issue:12047", + "issue:12052", + "issue:1214", + "issue:12458", + "issue:12459", + "issue:13311", + "issue:1925", + "issue:1962", + "issue:197", + "issue:199", + "issue:2462", + "issue:2838", + "issue:2941", + "issue:3061", + "issue:3094", + "issue:3284", + "issue:3363", + "issue:3451", + "issue:3884", + "issue:4680", + "issue:4708", + "issue:5118", + "issue:5594", + "issue:5603", + "issue:5633", + "issue:5889", + "issue:6418", + "issue:6584", + "issue:6636", + "issue:6689", + "issue:7330", + "issue:7418", + "issue:9042", + "issue:9148", + "issue:9237", + "issue:9497", + "issue:9551", + "issue:9692" + ], + "soft_pairs": [ + "issue:12458|issue:12459", + "issue:3284|issue:3363", + "issue:11209|issue:11286", + "issue:11224|issue:11286", + "issue:3094|issue:3451", + "issue:1962|issue:5889", + "issue:4680|issue:5594", + "issue:6584|issue:6689", + "issue:9042|issue:9148", + "issue:12047|issue:12052", + "issue:3884|issue:7330", + "issue:4708|issue:5603", + "issue:4708|issue:6636", + "issue:2462|issue:2838", + "issue:2941|issue:3061", + "issue:5118|issue:9551", + "issue:11374|issue:11569", + "issue:10144|issue:6418", + "issue:11062|issue:11286", + "issue:10343|issue:9692", + "issue:197|issue:199", + "issue:9237|issue:9497", + "issue:5633|issue:7418", + "issue:11657|issue:13311", + "issue:1214|issue:1925" + ], + "prepared_review_unit_hash": "a6f9e9840246a0acc5af535d32210fc9ad5e5cfaa348aaaf05510d27217e9d65", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33404, + "estimated_input_tokens": 8351, + "estimated_eval_tokens": 16958 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The only strong duplicate cluster here is the trio of generic LoRA-loading reports (11209/11224/11286). Most other pairs are broad topical neighbors but describe different models, pipelines, or symptoms, so they should stay separate.", + "confidence": 0.68, + "canonical_issue_reason": "issue:11224 is the best representative of the LoRA-loading error cluster: it has the same generic failure theme as 11209 and 11286, is open, and has the most discussion among the near-identical reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11224 is the most suitable global issue to keep as the canonical LoRA-loading problem report because it is the most central and actively discussed instance of that duplicate set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12458", + "right": "issue:12459", + "accept": false, + "reason": "Both mention batch inference, but one is a Qwen-image-edit feature/issue and the other is a FLUX.1-Kontext-dev throughput problem; different concrete use cases and likely different fixes." + }, + { + "left": "issue:3284", + "right": "issue:3363", + "accept": false, + "reason": "Both involve train_dreambooth_lora.py failures, but the reports point to different runtime contexts ('accelerate' vs 'two machines') and no evidence shows the same underlying bug." + }, + { + "left": "issue:11209", + "right": "issue:11286", + "accept": true, + "reason": "Same generic LoRA loading failure report with near-identical titles and very similar problem framing; likely duplicate reports of the same bug." + }, + { + "left": "issue:11224", + "right": "issue:11286", + "accept": true, + "reason": "Same generic LoRA loading failure report with near-identical titles and very similar problem framing; likely duplicate reports of the same bug." + }, + { + "left": "issue:3094", + "right": "issue:3451", + "accept": false, + "reason": "Both are training/memory related, but one is a CUDA OOM during a finetuning example and the other is fp16 using more memory than fp32; these are different issues." + }, + { + "left": "issue:1962", + "right": "issue:5889", + "accept": false, + "reason": "One is a general video-generation feature request, the other is the Stable Video Diffusion project/topic; they are related in area but not the same issue." + }, + { + "left": "issue:4680", + "right": "issue:5594", + "accept": false, + "reason": "Both mention SDXL fine-tuning, but one is about inpainting fine-tuning and the other is about memory savings with LoRA; different requests." + }, + { + "left": "issue:6584", + "right": "issue:6689", + "accept": false, + "reason": "Both are conversion-to-Diffusers problems, but for different source models (DreamShaper v8 Inpaint vs SSD-1B); not the same bug." + }, + { + "left": "issue:9042", + "right": "issue:9148", + "accept": false, + "reason": "These are separate feature requests: a Flux pipeline and a Flux inpainting pipeline; related, but not the same concrete change." + }, + { + "left": "issue:12047", + "right": "issue:12052", + "accept": false, + "reason": "One is a LoRA fusion failure on Wan2.2 GGUF, the other is an offloading device-mismatch runtime error; different code paths and symptoms." + }, + { + "left": "issue:3884", + "right": "issue:7330", + "accept": false, + "reason": "Both reference train_text_to_image_lora.py, but the reported failures are different and the titles do not establish the same underlying defect." + }, + { + "left": "issue:4708", + "right": "issue:5603", + "accept": false, + "reason": "Both are import-related, but one is a generic diffusers.utils import error and the other is a missing specific symbol; insufficient evidence they are the same bug." + }, + { + "left": "issue:4708", + "right": "issue:6636", + "accept": false, + "reason": "Same as above: both are import problems, but the exact missing names/problems differ and could stem from separate compatibility issues." + }, + { + "left": "issue:2462", + "right": "issue:2838", + "accept": false, + "reason": "One requests IterableDataset support for finetuning, the other asks for a controlnet_pipeline behavior change; unrelated." + }, + { + "left": "issue:2941", + "right": "issue:3061", + "accept": false, + "reason": "Both concern Stable Diffusion behavior, but one is a scheduler quality issue and the other is a reproducibility issue; not the same defect." + }, + { + "left": "issue:5118", + "right": "issue:9551", + "accept": false, + "reason": "Both mention ControlNet usage, but one is about reference_only in diffusers and the other about x-labs Flux controlnet models; different models and integrations." + }, + { + "left": "issue:11374", + "right": "issue:11569", + "accept": false, + "reason": "Separate feature requests for different model families (SkyReels-V2 vs ltxv-13b-0.9.7-distilled); not duplicates." + }, + { + "left": "issue:10144", + "right": "issue:6418", + "accept": false, + "reason": "Both involve video diffusion, but one is a quality comparison against official Mochi code and the other is stable video diffusion frames collapsing to the first frame; distinct problems." + }, + { + "left": "issue:11062", + "right": "issue:11286", + "accept": false, + "reason": "Both are LoRA loading issues, but they target different model families and one is a concrete CivitAI LoRA error while the other is a generic loading failure." + }, + { + "left": "issue:10343", + "right": "issue:9692", + "accept": false, + "reason": "Both mention CogView3-Plus-3B, but one is a black-image runtime warning and the other is a startup error; not enough evidence they are the same bug." + }, + { + "left": "issue:197", + "right": "issue:199", + "accept": false, + "reason": "Both are dead-code cleanup requests in different modules (ResNet vs Attention), not duplicates." + }, + { + "left": "issue:9237", + "right": "issue:9497", + "accept": false, + "reason": "Both are about Flux training, but one is a general dreambooth LoRA issue and the other is a specific mat2 dimensionality runtime error; different defects." + }, + { + "left": "issue:5633", + "right": "issue:7418", + "accept": false, + "reason": "Both involve transformer-related bugs, but they are in different files/components and describe different failures." + }, + { + "left": "issue:11657", + "right": "issue:13311", + "accept": false, + "reason": "Both are LoRA-key-mismatch reports, but they affect different model architectures (WanTransformer3DModel vs Flux2Transformer2DModel) and are not the same code path." + }, + { + "left": "issue:1214", + "right": "issue:1925", + "accept": false, + "reason": "Both concern half precision, but one is CLIPTextModel-specific and the other is a stable-diffusion-2-inpainting pipeline issue; not the same underlying bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the duplicate judgments are conservative overall. The canonical LoRA-loading cluster around 11209/11224/11286 is well supported by the near-identical titles and higher discussion on 11224, and the false pairs are mostly justified by distinct models, pipelines, or symptoms." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 32, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10226", + "issue:10282", + "issue:10749", + "issue:10848", + "issue:10869", + "issue:10872", + "issue:10958", + "issue:11315", + "issue:11824", + "issue:11839", + "issue:11865", + "issue:12216", + "issue:12645", + "issue:12653", + "issue:2830", + "issue:2966", + "issue:3019", + "issue:3026", + "issue:3420", + "issue:3774", + "issue:3885", + "issue:4185", + "issue:4398", + "issue:4520", + "issue:4708", + "issue:4733", + "issue:4736", + "issue:4872", + "issue:5226", + "issue:5227", + "issue:5757", + "issue:6794", + "issue:7168", + "issue:7263", + "issue:7306", + "issue:7492", + "issue:7513", + "issue:7621", + "issue:8359", + "issue:8939", + "issue:9026", + "issue:9141", + "issue:9237", + "issue:9448", + "issue:9497", + "issue:9548", + "issue:9857" + ], + "soft_pairs": [ + "issue:11315|issue:12653", + "issue:4708|issue:6794", + "issue:7168|issue:7306", + "issue:2966|issue:3026", + "issue:7621|issue:8359", + "issue:4736|issue:4872", + "issue:10749|issue:10872", + "issue:7263|issue:9448", + "issue:5226|issue:5227", + "issue:3420|issue:4520", + "issue:7513|issue:9237", + "issue:10226|issue:9857", + "issue:11824|issue:11839", + "issue:10848|issue:9026", + "issue:4733|issue:5757", + "issue:10869|issue:10958", + "issue:7492|issue:8939", + "issue:12216|issue:12645", + "issue:3774|issue:3885", + "issue:11865|issue:9141", + "issue:2830|issue:3019", + "issue:10282|issue:11839", + "issue:9497|issue:9548", + "issue:4185|issue:4398" + ], + "prepared_review_unit_hash": "7f539a42fa98424d88fdbb802043cf22c45e52da1c8c75d5bc3d077d6f9c0108", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33890, + "estimated_input_tokens": 8473, + "estimated_eval_tokens": 17202 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly heterogeneous, but there is one clear duplicate pair around the HiDream RoPE float64/MPS regression. Most other soft pairs look like related symptom families, not the same concrete bug.", + "confidence": 0.82, + "canonical_issue_reason": "Issue 11315 is the cleanest canonical anchor: it states the concrete failure (RoPE float64 on MPS) clearly, and 12653 is effectively the same bug with the same root symptom.", + "canonical_pr_reason": null, + "best_issue_reason": "11315 is the most specific and actionable issue in the only strong duplicate pair, making it the best representative for triage.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11315", + "right": "issue:12653", + "accept": true, + "reason": "Same RoPE float64 regression causing MPS breakage; 12653 is a near-direct restatement of the same bug on related hardware." + }, + { + "left": "issue:4708", + "right": "issue:6794", + "accept": false, + "reason": "Both are import errors, but they point to different missing symbols/modules and do not look like the same underlying defect." + }, + { + "left": "issue:7168", + "right": "issue:7306", + "accept": false, + "reason": "Both involve tensor-shape/type complaints, but they are different pipelines and different failure modes." + }, + { + "left": "issue:2966", + "right": "issue:3026", + "accept": false, + "reason": "Same example script family, but one is multi-GPU training and the other is a single-GPU launch error; not the same bug." + }, + { + "left": "issue:7621", + "right": "issue:8359", + "accept": false, + "reason": "Different features: one is an InstructPix2Pix/cosxl_edit incompatibility, the other is from_single_file/custom checkpoint loading." + }, + { + "left": "issue:4736", + "right": "issue:4872", + "accept": false, + "reason": "Both mention SDXL finetuning instability/OOM, but one is a specific training-script crash with invalid casts and the other is generic low-VRAM OOM." + }, + { + "left": "issue:10749", + "right": "issue:10872", + "accept": false, + "reason": "Completely different requests: GGUF support for Lumina2 versus from_single_file support for SanaTransformer2DModel." + }, + { + "left": "issue:7263", + "right": "issue:9448", + "accept": false, + "reason": "Both are IP-Adapter-related, but the errors and pipelines differ; this is not the same concrete code-path problem." + }, + { + "left": "issue:5226", + "right": "issue:5227", + "accept": false, + "reason": "One is about load_lora_weights on SDXL AdapterPipeline, the other about load_lora_weight with torch.compile; related area, different bugs." + }, + { + "left": "issue:3420", + "right": "issue:4520", + "accept": false, + "reason": "Different functionality: ControlNet/inpaint pipeline failure versus LoRA scale with attention slicing." + }, + { + "left": "issue:7513", + "right": "issue:9237", + "accept": false, + "reason": "Both involve training, but they are different pipelines (SDXL DreamBooth vs Flux DreamBooth LoRA) and different issue reports." + }, + { + "left": "issue:10226", + "right": "issue:9857", + "accept": false, + "reason": "Both are FLUX training shape mismatches, but one is DreamBooth LoRA and the other is ControlNet embedding mismatch; not clearly the same bug." + }, + { + "left": "issue:11824", + "right": "issue:11839", + "accept": false, + "reason": "Same pipeline family, but one is multi-image input handling and the other is GGUF invalid input sizing; different problems." + }, + { + "left": "issue:10848", + "right": "issue:9026", + "accept": false, + "reason": "Both are signature-mismatch errors in loading helpers, but they involve different functions and different kwargs." + }, + { + "left": "issue:4733", + "right": "issue:5757", + "accept": false, + "reason": "Both mention checkpoint resume in DreamBooth LoRA scripts, but they are separate reports with no evidence of the same root cause." + }, + { + "left": "issue:10869", + "right": "issue:10958", + "accept": false, + "reason": "Both involve meta tensors, but the exact errors and affected pipelines differ; too broad to treat as the same bug." + }, + { + "left": "issue:7492", + "right": "issue:8939", + "accept": false, + "reason": "Unrelated loading failures: one is a missing repository, the other is a tokenizer loading error for a different model." + }, + { + "left": "issue:12216", + "right": "issue:12645", + "accept": false, + "reason": "Both are Qwen-Image-related, but one is quality regression and the other is performance; not the same issue." + }, + { + "left": "issue:3774", + "right": "issue:3885", + "accept": false, + "reason": "Both concern VRAM/ZeRO memory, but one is a specific zero3 training observation and the other is a general memory-reduction question." + }, + { + "left": "issue:11865", + "right": "issue:9141", + "accept": false, + "reason": "Both ask for from_single_file support, but for different model classes and different pipelines." + }, + { + "left": "issue:2830", + "right": "issue:3019", + "accept": false, + "reason": "Completely different feature requests with no shared bug/change." + }, + { + "left": "issue:10282", + "right": "issue:11839", + "accept": false, + "reason": "Shape mismatch while loading x_embedder versus invalid input size for GGUF; different failures." + }, + { + "left": "issue:9497", + "right": "issue:9548", + "accept": false, + "reason": "Related FLUX DreamBooth/LoRA area, but 9548 is a follow-up to a different issue chain and does not clearly match the mat2/1-D tensor failure." + }, + { + "left": "issue:4185", + "right": "issue:4398", + "accept": false, + "reason": "Both are black-image reports, but one is SDXL ControlNet inference and the other is SDXL LoRA DreamBooth training; different bugs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The assessment is well grounded in the packet and stays conservative. The 11315/12653 pair is clearly the strongest match from the titles/body, while the other soft pairs are appropriately treated as related-symptom or feature-adjacent rather than definite duplicates." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 33, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10937", + "issue:11464", + "issue:11630", + "issue:11674", + "issue:11864", + "issue:12009", + "issue:12047", + "issue:12459", + "issue:2052", + "issue:2089", + "issue:2244", + "issue:2250", + "issue:2636", + "issue:2883", + "issue:3289", + "issue:3391", + "issue:3728", + "issue:3788", + "issue:3826", + "issue:4213", + "issue:4733", + "issue:4779", + "issue:4872", + "issue:5005", + "issue:5226", + "issue:5412", + "issue:5840", + "issue:6201", + "issue:6274", + "issue:6275", + "issue:6277", + "issue:6363", + "issue:7057", + "issue:7142", + "issue:7355", + "issue:7432", + "issue:7644", + "issue:771", + "issue:8645", + "issue:8723", + "issue:9012", + "issue:9115", + "issue:9187", + "issue:9343", + "issue:9667", + "issue:9873", + "issue:9914" + ], + "soft_pairs": [ + "issue:2636|issue:5005", + "issue:8723|issue:9012", + "issue:6274|issue:6275", + "issue:11464|issue:12459", + "issue:10937|issue:11864", + "issue:6277|issue:6363", + "issue:3728|issue:9873", + "issue:9343|issue:9667", + "issue:7142|issue:7432", + "issue:7355|issue:7644", + "issue:3788|issue:9873", + "issue:9115|issue:9187", + "issue:2052|issue:4733", + "issue:3289|issue:3391", + "issue:11630|issue:11674", + "issue:2244|issue:2250", + "issue:9343|issue:9914", + "issue:7057|issue:771", + "issue:6201|issue:8645", + "issue:2089|issue:4872", + "issue:3788|issue:3826", + "issue:5412|issue:5840", + "issue:4213|issue:5226", + "issue:12009|issue:12047", + "issue:2883|issue:4779" + ], + "prepared_review_unit_hash": "a4211212ed4f6adec3b0e07b021d947af007803cf3df869fe092745bd94ffeea", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33766, + "estimated_input_tokens": 8442, + "estimated_eval_tokens": 17140 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous cluster of training, loading, and feature-request issues. The only clear duplicates are a few checkpoint-resume, SD3ControlNet from_transformer, and Stable Cascade resolution pairs; most other soft pairs are just same-subsystem similarity, not the same bug.", + "confidence": 0.74, + "canonical_issue_reason": "If a single issue must anchor this mixed set, #9343 is the best representative because it is a concrete, active FLUX loading bug rather than a feature request or a vague symptom.", + "canonical_pr_reason": null, + "best_issue_reason": "#9343 is the strongest global issue candidate: specific, open, and central to the cluster\u2019s recurring model-loading failures.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2636", + "right": "issue:5005", + "accept": true, + "reason": "Both describe the same checkpoint-resume progress bar miscount/truncation behavior in training scripts." + }, + { + "left": "issue:8723", + "right": "issue:9012", + "accept": true, + "reason": "Same SD3ControlNetModel.from_transformer initialization/load-weights failure." + }, + { + "left": "issue:6274", + "right": "issue:6275", + "accept": false, + "reason": "Related adapter area, but one is about multiple adapters breaking and the other about unsupported adapter models; not the same concrete bug." + }, + { + "left": "issue:11464", + "right": "issue:12459", + "accept": false, + "reason": "Different FLUX problems: one is LoRA loading into FluxControlPipeline, the other is batch inference throughput." + }, + { + "left": "issue:10937", + "right": "issue:11864", + "accept": false, + "reason": "Both mention torch.compile, but they involve different encode paths and different failures, so not the same bug." + }, + { + "left": "issue:6277", + "right": "issue:6363", + "accept": false, + "reason": "One is a vague gradient issue; the other is a specific FP16 unscale error in a training script." + }, + { + "left": "issue:3728", + "right": "issue:9873", + "accept": false, + "reason": "Both are pipeline requests, but for different models/features and not the same change." + }, + { + "left": "issue:9343", + "right": "issue:9667", + "accept": false, + "reason": "Both are FLUX loading issues, but they hit different code paths and failure modes." + }, + { + "left": "issue:7142", + "right": "issue:7432", + "accept": false, + "reason": "Both compare Diffusers to WebUI output, but they are different inference-quality complaints and not a duplicate bug." + }, + { + "left": "issue:7355", + "right": "issue:7644", + "accept": true, + "reason": "Both target Stable Cascade failures on non-standard image sizes / arbitrary resolutions." + }, + { + "left": "issue:3788", + "right": "issue:9873", + "accept": false, + "reason": "Different new-pipeline requests for different models." + }, + { + "left": "issue:9115", + "right": "issue:9187", + "accept": false, + "reason": "Different adapters and different failure modes; not the same underlying bug." + }, + { + "left": "issue:2052", + "right": "issue:4733", + "accept": false, + "reason": "Both are resume-related training issues, but for different scripts and errors." + }, + { + "left": "issue:3289", + "right": "issue:3391", + "accept": false, + "reason": "Same DeepFloyd SR area, but the reported symptoms and triggers are not clearly the same bug." + }, + { + "left": "issue:11630", + "right": "issue:11674", + "accept": false, + "reason": "Separate feature requests: single-file loading versus extra ref-image/multi-video support." + }, + { + "left": "issue:2244", + "right": "issue:2250", + "accept": false, + "reason": "Both are DreamBooth inference bugs, but one is a CPU/half-precision runtime error and the other is a prompt-generation failure." + }, + { + "left": "issue:9343", + "right": "issue:9914", + "accept": false, + "reason": "Both are FLUX-related loading problems, but one is a mismatched-size loading bug and the other is a LoRA loading issue." + }, + { + "left": "issue:7057", + "right": "issue:771", + "accept": false, + "reason": "Both concern checkpoint/model compatibility, but they are unrelated model/training failures." + }, + { + "left": "issue:6201", + "right": "issue:8645", + "accept": false, + "reason": "Prompt-encoding bug versus a missing helper function; unrelated issues." + }, + { + "left": "issue:2089", + "right": "issue:4872", + "accept": false, + "reason": "Both are OOM training reports, but they involve different models and setups." + }, + { + "left": "issue:3788", + "right": "issue:3826", + "accept": false, + "reason": "Different new pipeline requests." + }, + { + "left": "issue:5412", + "right": "issue:5840", + "accept": true, + "reason": "Same train_dreambooth_lora_sdxl.py resume-from-checkpoint failure." + }, + { + "left": "issue:4213", + "right": "issue:5226", + "accept": false, + "reason": "Different feature/compatibility problems: from_single_file without accelerate versus LoRA loading on AdapterPipeline." + }, + { + "left": "issue:12009", + "right": "issue:12047", + "accept": false, + "reason": "Same Wan2.2 GGUF area, but one is model loading from single file and the other is LoRA fusion; different code paths." + }, + { + "left": "issue:2883", + "right": "issue:4779", + "accept": false, + "reason": "Both are image-to-video related, but one is a generic pipeline request and the other is a specific ModelScope pipeline request." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and stays conservative on the ambiguous pairs. The accepted soft edges are defensible duplicates or near-duplicates based on the issue titles and described failure modes, and the rejected pairs are appropriately treated as same-subsystem similarity rather than clear duplicates. The canonical issue choice is also reasonable for this mixed cluster." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 34, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10350", + "issue:10472", + "issue:10653", + "issue:10848", + "issue:11948", + "issue:12082", + "issue:12195", + "issue:12458", + "issue:12645", + "issue:1495", + "issue:2089", + "issue:2294", + "issue:2392", + "issue:2459", + "issue:2560", + "issue:2772", + "issue:2774", + "issue:2891", + "issue:3008", + "issue:3094", + "issue:3112", + "issue:3184", + "issue:3569", + "issue:3631", + "issue:3639", + "issue:4000", + "issue:4580", + "issue:5314", + "issue:5433", + "issue:5465", + "issue:5577", + "issue:5661", + "issue:5846", + "issue:5917", + "issue:6073", + "issue:6183", + "issue:6295", + "issue:7147", + "issue:7185", + "issue:7209", + "issue:7210", + "issue:7267", + "issue:771", + "issue:8494", + "issue:852", + "issue:9501", + "issue:9727", + "issue:9953" + ], + "soft_pairs": [ + "issue:10653|issue:9953", + "issue:10350|issue:12082", + "issue:3569|issue:3639", + "issue:5433|issue:6295", + "issue:2772|issue:7267", + "issue:5577|issue:6183", + "issue:9501|issue:9727", + "issue:2089|issue:3094", + "issue:1495|issue:7147", + "issue:3008|issue:3184", + "issue:12195|issue:7185", + "issue:5661|issue:5917", + "issue:2774|issue:4000", + "issue:11948|issue:7209", + "issue:12458|issue:12645", + "issue:3631|issue:4580", + "issue:5846|issue:6073", + "issue:2392|issue:2560", + "issue:2459|issue:771", + "issue:2891|issue:5465", + "issue:10472|issue:10848", + "issue:8494|issue:852", + "issue:2294|issue:7147", + "issue:6183|issue:7210", + "issue:3112|issue:5314" + ], + "prepared_review_unit_hash": "b30b36c82858c05d5fa132dcdb183e92720e72d2e897f606125b7f52a862459a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34789, + "estimated_input_tokens": 8698, + "estimated_eval_tokens": 17652 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly noisy, but there are two credible duplicate-like issue pairs: `train_controlnet.py` local data loading (`2772`/`7267`) and `lpw_stable_diffusion` generator handling (`3008`/`3184`). The rest are broad-similarity or clearly distinct bugs/features.", + "confidence": 0.8, + "canonical_issue_reason": "issue:2772 is the best issue anchor because it gives the clearest, most concrete description of the `train_controlnet.py` local dataset loading failure. It reads like the most substantive report in that thread, while issue:7267 is also similar but not clearly a subordinate follow-up from the packet alone.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2772 is the strongest representative issue because it targets a specific code path (`train_controlnet.py` local data loading) and has the most actionable bug framing. The cluster also contains another likely duplicate-like pair (`3008`/`3184`), so `2772` is the best anchor rather than the only duplicate-like thread.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10653", + "right": "issue:9953", + "accept": false, + "reason": "Both are quantized/model device-movement complaints, but one is about `.to(cpu)` after 8bit load and the other about `.to(cuda)` on a quantized component; similar symptom, different bug path." + }, + { + "left": "issue:10350", + "right": "issue:12082", + "accept": false, + "reason": "Both mention high VAE memory use, but they concern different models and scenarios (`SD2.1` decoder vs `wan2.1` VAE after compile)." + }, + { + "left": "issue:3569", + "right": "issue:3639", + "accept": false, + "reason": "These are separate new-pipeline requests (`Uni-ControlNet` vs `GlyphControl`), not the same underlying change." + }, + { + "left": "issue:5433", + "right": "issue:6295", + "accept": false, + "reason": "Both discuss scheduler artifacts, but the concrete settings and failure modes differ enough that they do not look like one fixable bug." + }, + { + "left": "issue:2772", + "right": "issue:7267", + "accept": true, + "reason": "Both report `train_controlnet.py` failing on valid local dataset loading, and the second is a much shorter restatement of the same underlying bug." + }, + { + "left": "issue:5577", + "right": "issue:6183", + "accept": false, + "reason": "Both are conversion/loading issues, but one is a `ControlNetModel.from_single_file` KeyError and the other is an SDXL shape mismatch; different failures." + }, + { + "left": "issue:9501", + "right": "issue:9727", + "accept": false, + "reason": "Both involve FLUX DreamBooth saving, but one is a delayed save and the other is a multigpu save problem; not clearly the same code-path bug." + }, + { + "left": "issue:2089", + "right": "issue:3094", + "accept": false, + "reason": "Both are OOM training reports, but they are for different scripts and contexts; the shared symptom is too broad to treat as a duplicate." + }, + { + "left": "issue:1495", + "right": "issue:7147", + "accept": false, + "reason": "Both are import errors, but they involve different missing symbols from different modules." + }, + { + "left": "issue:3008", + "right": "issue:3184", + "accept": true, + "reason": "Both point to `lpw_stable_diffusion` mishandling generator inputs on the same pipeline/code path, so they look like the same bug." + }, + { + "left": "issue:12195", + "right": "issue:7185", + "accept": false, + "reason": "`torch.library.custom_op` missing in PyTorch 2.3.1 is a specific compatibility break, while the other issue is a broad question about PyTorch 2.2.0 support." + }, + { + "left": "issue:5661", + "right": "issue:5917", + "accept": false, + "reason": "These are different import/version failures in different parts of the library." + }, + { + "left": "issue:2774", + "right": "issue:4000", + "accept": false, + "reason": "Both are conversion-related, but one is ControlNet safetensors conversion and the other is Stable Diffusion 2.0 ckpt conversion; too broad to merge." + }, + { + "left": "issue:11948", + "right": "issue:7209", + "accept": false, + "reason": "Both involve offline loading, but one is `from_pretrained` on WanTransformer3DModel and the other is `from_single_file` on a local safetensor; different API paths." + }, + { + "left": "issue:12458", + "right": "issue:12645", + "accept": false, + "reason": "Batch inference/feature-request discussion is not the same as a slowdown comparison against ComfyUI." + }, + { + "left": "issue:3631", + "right": "issue:4580", + "accept": false, + "reason": "Different pipelines and failures: latents in inpainting vs `use_karras_sigmas` in UniPC scheduling." + }, + { + "left": "issue:5846", + "right": "issue:6073", + "accept": false, + "reason": "A specific `resume_from_checkpoint` error in SDXL LoRA training is unrelated to a beginner help/setup request." + }, + { + "left": "issue:2392", + "right": "issue:2560", + "accept": false, + "reason": "One is a prompt_embeds validation bug; the other is differing outputs with generator lists. They do not share the same failure mode." + }, + { + "left": "issue:2459", + "right": "issue:771", + "accept": false, + "reason": "Different training-time compatibility issues (`xformers` enablement vs BF16 support) with no shared bug path." + }, + { + "left": "issue:2891", + "right": "issue:5465", + "accept": false, + "reason": "Docs/support mismatch for embeds in an upscale pipeline is unrelated to DPM++ artifact issues." + }, + { + "left": "issue:10472", + "right": "issue:10848", + "accept": false, + "reason": "One is a LoRA `lora_bias` constructor argument error; the other is a `load_model_dict_into_meta` `device` keyword error. Different APIs and failures." + }, + { + "left": "issue:8494", + "right": "issue:852", + "accept": false, + "reason": "Both are unexpected keyword-argument errors, but for different options (`force_hooks` vs `device_map`) and different versions/platforms." + }, + { + "left": "issue:2294", + "right": "issue:7147", + "accept": false, + "reason": "Different missing imports (`StableDiffusionVideoInpaintPipeline` vs `StableCascadeDecoderPipeline`) and not the same underlying issue." + }, + { + "left": "issue:6183", + "right": "issue:7210", + "accept": false, + "reason": "`from_single_file` shape mismatch and `named_parameters` missing during accelerate dispatch are separate pipeline/model integration bugs." + }, + { + "left": "issue:3112", + "right": "issue:5314", + "accept": false, + "reason": "Both are ControlNet-related, but they are different pipeline features rather than the same change." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The core anchor choice is reasonable, but the reasoning is a bit too strong for the packet. In particular, calling issue:2772 the cluster\u2019s \"only clear duplicate-like thread\" overstates the evidence because the packet also supports another accepted duplicate-like pair (issue:3008 / issue:3184). Also, describing issue:7267 as a \"follow-up\" is not directly grounded in the provided data. The rest of the soft-edge calls look appropriately conservative." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 35, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1013", + "issue:10994", + "issue:11045", + "issue:11127", + "issue:1181", + "issue:1214", + "issue:12195", + "issue:12666", + "issue:13277", + "issue:13319", + "issue:1538", + "issue:1614", + "issue:1962", + "issue:2163", + "issue:2371", + "issue:2480", + "issue:3221", + "issue:3450", + "issue:3694", + "issue:4210", + "issue:4480", + "issue:4566", + "issue:4616", + "issue:4708", + "issue:4724", + "issue:5025", + "issue:5128", + "issue:5226", + "issue:5442", + "issue:5633", + "issue:579", + "issue:5931", + "issue:6574", + "issue:6791", + "issue:692", + "issue:7223", + "issue:7239", + "issue:7243", + "issue:7483", + "issue:7708", + "issue:7871", + "issue:8659", + "issue:9343", + "issue:9525", + "issue:9803", + "issue:9914", + "issue:993", + "issue:9971" + ], + "soft_pairs": [ + "issue:12195|issue:12666", + "issue:1013|issue:1538", + "issue:2371|issue:2480", + "issue:4708|issue:5025", + "issue:9803|issue:9914", + "issue:1181|issue:692", + "issue:4480|issue:5931", + "issue:10994|issue:11045", + "issue:4566|issue:7239", + "issue:11127|issue:9971", + "issue:5442|issue:7243", + "issue:4724|issue:6574", + "issue:3221|issue:3450", + "issue:579|issue:7708", + "issue:4616|issue:7483", + "issue:5128|issue:7871", + "issue:1214|issue:5226", + "issue:1962|issue:7223", + "issue:4210|issue:5633", + "issue:9343|issue:9525", + "issue:1614|issue:993", + "issue:13277|issue:13319", + "issue:2163|issue:3694", + "issue:6791|issue:8659" + ], + "prepared_review_unit_hash": "288343a31a244270d462d2ea8d4d26be16ea93cc94abac4086d205d6b96b2006", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34034, + "estimated_input_tokens": 8509, + "estimated_eval_tokens": 17274 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous and not a true duplicate set. The only likely duplicate pair is the SDXL LoRA conversion-script reports (4616/7483); the rest look like distinct bugs, feature requests, or unrelated failure modes.", + "confidence": 0.58, + "canonical_issue_reason": "Issue 7483 is the clearest, most specific report of the SDXL LoRA conversion-script failure, and it matches the only plausible duplicate pair in this set.", + "canonical_pr_reason": null, + "best_issue_reason": "7483 is the best duplicate target here because it describes a concrete, actionable SDXL LoRA conversion problem with the most precise scope.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12195", + "right": "issue:12666", + "accept": false, + "reason": "Different problems: PyTorch custom_op incompatibility vs a missing pipeline feature." + }, + { + "left": "issue:1013", + "right": "issue:1538", + "accept": false, + "reason": "Both mention StableDiffusionMegaPipeline, but one is a version incompatibility and the other is a model-specific failure." + }, + { + "left": "issue:2371", + "right": "issue:2480", + "accept": false, + "reason": "Dreambooth-related, but the symptoms differ: missing outputs vs checkpoint directory structure." + }, + { + "left": "issue:4708", + "right": "issue:5025", + "accept": false, + "reason": "Both are import issues, but one is a generic diffusers.utils import error and the other is a specific randn_tensor import failure." + }, + { + "left": "issue:9803", + "right": "issue:9914", + "accept": false, + "reason": "Both involve Flux LoRA loading, but they appear to be different code paths and failure modes." + }, + { + "left": "issue:1181", + "right": "issue:692", + "accept": false, + "reason": "Training from scratch is not the same as asking for a fine-tuning example." + }, + { + "left": "issue:4480", + "right": "issue:5931", + "accept": false, + "reason": "One is an MPS fp16 kernel crash; the other is nondeterministic generation." + }, + { + "left": "issue:10994", + "right": "issue:11045", + "accept": false, + "reason": "Same script family, but batch-size crash and model-loading crash are different bugs." + }, + { + "left": "issue:4566", + "right": "issue:7239", + "accept": false, + "reason": "Checkpoint resume failure vs SDXL LoRA shape mismatch are distinct issues." + }, + { + "left": "issue:11127", + "right": "issue:9971", + "accept": false, + "reason": "Different components: QwenImage/Ulysses batch-input failure vs Flux scheduler behavior." + }, + { + "left": "issue:5442", + "right": "issue:7243", + "accept": false, + "reason": "Different pipelines/features; only a broad diffusion-model similarity." + }, + { + "left": "issue:4724", + "right": "issue:6574", + "accept": false, + "reason": "Img2Img checkpoint behavior and SVD tensor warning are unrelated." + }, + { + "left": "issue:3221", + "right": "issue:3450", + "accept": false, + "reason": "Both are loading-related, but they target different APIs and failures." + }, + { + "left": "issue:579", + "right": "issue:7708", + "accept": false, + "reason": "Both mention config.json, but one is textual inversion and the other is an SDXL model packaging issue." + }, + { + "left": "issue:4616", + "right": "issue:7483", + "accept": true, + "reason": "Same underlying bug family: the LoRA-to-Diffusers conversion script failing for SDXL base models." + }, + { + "left": "issue:5128", + "right": "issue:7871", + "accept": false, + "reason": "Single-file loading error vs blockwise-scale LoRA error are different problems." + }, + { + "left": "issue:1214", + "right": "issue:5226", + "accept": false, + "reason": "Half-precision CLIPTextModel issue is unrelated to LoRA loading in StableDiffusionXLAdapterPipeline." + }, + { + "left": "issue:1962", + "right": "issue:7223", + "accept": false, + "reason": "One is a generic video-generation request; the other is a specific Latte feature proposal." + }, + { + "left": "issue:4210", + "right": "issue:5633", + "accept": false, + "reason": "UNet attention_mask usage question is unrelated to a transformer_temporal.py bug." + }, + { + "left": "issue:9343", + "right": "issue:9525", + "accept": false, + "reason": "Both are Flux-related, but model-loading flags and lora_scale behavior are different code paths." + }, + { + "left": "issue:1614", + "right": "issue:993", + "accept": false, + "reason": "Both involve precision, but one is black outputs and the other is a dtype mismatch error." + }, + { + "left": "issue:13277", + "right": "issue:13319", + "accept": false, + "reason": "Same model family, but forward batch-input failure and backward-pass failure are not the same bug." + }, + { + "left": "issue:2163", + "right": "issue:3694", + "accept": false, + "reason": "Training script dtype mismatch vs missing model files are different setup/runtime problems." + }, + { + "left": "issue:6791", + "right": "issue:8659", + "accept": false, + "reason": "Same example script, but a general run failure is not the same as resume/inference-loading problems." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The accepted 4616/7483 pair is plausibly the same SDXL LoRA conversion-script bug from the titles alone, and the other soft-edge rejections are reasonable given the differing failure modes or feature requests." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 36, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10169", + "issue:10591", + "issue:10671", + "issue:10722", + "issue:11314", + "issue:11417", + "issue:1214", + "issue:1976", + "issue:2132", + "issue:2459", + "issue:2941", + "issue:3094", + "issue:3325", + "issue:3706", + "issue:3884", + "issue:4389", + "issue:4492", + "issue:4593", + "issue:4697", + "issue:4872", + "issue:5963", + "issue:6028", + "issue:6137", + "issue:6176", + "issue:6383", + "issue:6415", + "issue:6548", + "issue:6741", + "issue:6914", + "issue:7057", + "issue:7185", + "issue:7405", + "issue:7513", + "issue:7589", + "issue:8236", + "issue:8307", + "issue:8534", + "issue:861", + "issue:8613", + "issue:8708", + "issue:8839", + "issue:8909", + "issue:9141", + "issue:9343", + "issue:9450", + "issue:9548", + "issue:9799", + "issue:9857" + ], + "soft_pairs": [ + "issue:5963|issue:6028", + "issue:4593|issue:4697", + "issue:6383|issue:7185", + "issue:6176|issue:8839", + "issue:7513|issue:9548", + "issue:3094|issue:4872", + "issue:1214|issue:7589", + "issue:9799|issue:9857", + "issue:10671|issue:9450", + "issue:7057|issue:861", + "issue:2132|issue:6741", + "issue:3706|issue:7405", + "issue:4389|issue:9343", + "issue:4697|issue:6176", + "issue:6137|issue:8236", + "issue:10722|issue:9857", + "issue:6415|issue:6914", + "issue:8613|issue:8909", + "issue:2941|issue:6548", + "issue:10591|issue:11314", + "issue:10169|issue:1976", + "issue:3325|issue:3884", + "issue:11417|issue:4492", + "issue:2459|issue:7057", + "issue:8307|issue:9141", + "issue:8534|issue:8708" + ], + "prepared_review_unit_hash": "966490c542651aeb8a3b5f57448c152f626c680d23b0f2b86f5d3631e1ade51f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34795, + "estimated_input_tokens": 8699, + "estimated_eval_tokens": 17654 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are only broadly similar (same model family or same kind of error) and should not be merged. The only clear duplicate-like match is the multi-GPU LR scheduler step-count bug: #6137 and #8236.", + "confidence": 0.93, + "canonical_issue_reason": "#6137 is the broader, more general report of the underlying scheduler step-count bug in multi-GPU training, so it is the best canonical issue for the duplicate pair.", + "canonical_pr_reason": null, + "best_issue_reason": "#6137 best represents the shared issue because it states the core bug directly, while #8236 is a later, more specific manifestation tied to `--num_train_epochs` in examples.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5963", + "right": "issue:6028", + "accept": false, + "reason": "Both are Kandinsky 3.0, but one is about embeds-vs-prompts behavior and the other is CUDA OOM; different bugs." + }, + { + "left": "issue:4593", + "right": "issue:4697", + "accept": false, + "reason": "Both concern LoRA loading, but one is a rank mismatch with an A1111 LoRA and the other is a specific LoRA failing after an update; not the same concrete failure." + }, + { + "left": "issue:6383", + "right": "issue:7185", + "accept": false, + "reason": "Multi-stage learning rates vs PyTorch 2.2 compatibility are unrelated topics." + }, + { + "left": "issue:6176", + "right": "issue:8839", + "accept": false, + "reason": "Both mention LoRA weights, but one is post-training DreamBooth LoRA loading and the other is an SD3 LoRA weight error; different code paths." + }, + { + "left": "issue:7513", + "right": "issue:9548", + "accept": false, + "reason": "Different models and symptoms: SDXL DreamBooth resource issues vs FLUX DreamBooth LoRA training issues." + }, + { + "left": "issue:3094", + "right": "issue:4872", + "accept": false, + "reason": "Both are OOM reports, but they affect different training scripts/models and likely different causes." + }, + { + "left": "issue:1214", + "right": "issue:7589", + "accept": false, + "reason": "Half-precision CLIPTextModel failure is unrelated to GLIGEN not working." + }, + { + "left": "issue:9799", + "right": "issue:9857", + "accept": false, + "reason": "Both are tensor-size mismatch errors, but the model, script, and failure context differ; too generic to treat as the same bug." + }, + { + "left": "issue:10671", + "right": "issue:9450", + "accept": false, + "reason": "One is a deterministic dtype/device lookup issue in DiffusionPipeline; the other is a multi-GPU device placement problem in FluxPipeline." + }, + { + "left": "issue:7057", + "right": "issue:861", + "accept": false, + "reason": "A checkpoint loading failure is not the same as a ckpt-to-diffusers conversion problem." + }, + { + "left": "issue:2132", + "right": "issue:6741", + "accept": false, + "reason": "Different script-specific errors: missing `trackers` on Accelerator vs missing `no_flip` on Namespace." + }, + { + "left": "issue:3706", + "right": "issue:7405", + "accept": false, + "reason": "They are both model announcements, not the same bug or change." + }, + { + "left": "issue:4389", + "right": "issue:9343", + "accept": false, + "reason": "ControlNet loading failure vs FLUX loading with `low_cpu_mem_usage=False` and `ignore_mismatched_sizes=True` are different problems." + }, + { + "left": "issue:4697", + "right": "issue:6176", + "accept": false, + "reason": "Both involve LoRA-related loading, but they describe different workflows and failure modes." + }, + { + "left": "issue:6137", + "right": "issue:8236", + "accept": true, + "reason": "These describe the same underlying LR scheduler step-count bug under multi-GPU training; #8236 is a later, more specific report of the same issue." + }, + { + "left": "issue:10722", + "right": "issue:9857", + "accept": false, + "reason": "Both are tensor mismatch errors, but they occur in different FLUX training scenarios with different shapes and contexts." + }, + { + "left": "issue:6415", + "right": "issue:6914", + "accept": false, + "reason": "One is about unsupported IP-Adapter-FaceID/FaceID plus, the other is an AttributeError from `enable_model_cpu_offload()`." + }, + { + "left": "issue:8613", + "right": "issue:8909", + "accept": false, + "reason": "OOM while using `caption_column` is unrelated to problems saving `text_encoder_ti` in a DreamBooth LoRA script." + }, + { + "left": "issue:2941", + "right": "issue:6548", + "accept": false, + "reason": "Scheduler quality issue vs img2img RGBA latent misclassification are unrelated." + }, + { + "left": "issue:10591", + "right": "issue:11314", + "accept": false, + "reason": "Both are training-script complaints, but they target different models and different bugs." + }, + { + "left": "issue:10169", + "right": "issue:1976", + "accept": false, + "reason": "Missing `config.json` is too generic here; #1976 is specifically about an incorrect `tokenizer/config.json` lookup, not the same reported failure." + }, + { + "left": "issue:3325", + "right": "issue:3884", + "accept": false, + "reason": "CUDA invalid argument in DreamBooth is not the same as an error using `train_text_to_image_lora.py`." + }, + { + "left": "issue:11417", + "right": "issue:4492", + "accept": false, + "reason": "DistributedDataParallel missing `dtype` and a `false` NameError are unrelated." + }, + { + "left": "issue:2459", + "right": "issue:7057", + "accept": false, + "reason": "xFormers attention not working in a LoRA training script is unrelated to a checkpoint loading issue." + }, + { + "left": "issue:8307", + "right": "issue:9141", + "accept": false, + "reason": "Missing `StableCascadeUNet` and missing `FluxPipeline.from_single_file()` are different API gaps." + }, + { + "left": "issue:8534", + "right": "issue:8708", + "accept": false, + "reason": "Both are SD3 training-script issues, but one is logit-normal weighting and the other is a missing `vae.config.shift_factor`; different concrete bugs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft edges. The #6137/#8236 match is well supported by the titles, and the other pairs are reasonably rejected as different bugs rather than over-merged on superficial similarity." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 37, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10128", + "issue:10381", + "issue:10798", + "issue:10928", + "issue:11117", + "issue:11396", + "issue:1166", + "issue:12657", + "issue:13249", + "issue:1398", + "issue:1475", + "issue:1552", + "issue:1614", + "issue:1976", + "issue:2089", + "issue:2299", + "issue:2857", + "issue:3032", + "issue:3325", + "issue:3497", + "issue:3706", + "issue:3764", + "issue:4000", + "issue:4229", + "issue:4453", + "issue:4566", + "issue:4648", + "issue:4701", + "issue:4708", + "issue:4736", + "issue:4969", + "issue:5578", + "issue:5919", + "issue:5934", + "issue:6444", + "issue:6794", + "issue:7133", + "issue:7681", + "issue:7728", + "issue:7757", + "issue:7854", + "issue:8414", + "issue:8500", + "issue:8557", + "issue:8614", + "issue:8833", + "issue:8939", + "issue:9421" + ], + "soft_pairs": [ + "issue:6444|issue:7728", + "issue:8500|issue:8557", + "issue:1398|issue:1552", + "issue:3706|issue:8414", + "issue:10381|issue:10798", + "issue:1166|issue:1475", + "issue:3325|issue:4701", + "issue:10128|issue:2857", + "issue:11396|issue:4453", + "issue:4648|issue:5578", + "issue:4708|issue:4969", + "issue:3764|issue:5934", + "issue:10928|issue:8939", + "issue:6794|issue:7681", + "issue:8614|issue:8833", + "issue:11117|issue:7854", + "issue:2299|issue:4000", + "issue:1976|issue:9421", + "issue:2089|issue:4736", + "issue:1398|issue:1614", + "issue:4566|issue:7133", + "issue:12657|issue:13249", + "issue:4229|issue:7757", + "issue:3032|issue:3497", + "issue:3497|issue:5919" + ], + "prepared_review_unit_hash": "00021578414f3cc04c550e40b5eef149bd3d779357e1a0397e9cc8b3e2055362", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34988, + "estimated_input_tokens": 8747, + "estimated_eval_tokens": 17750 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous set of support/issues around model loading, training, precision, and quantization. Only the SD3 token-limit pair looks like a true duplicate; the rest are related only at a broad subsystem level and should stay separate.", + "confidence": 0.88, + "canonical_issue_reason": "issue:8557 is the clearest, most specific representative of the only true duplicate pair (SD3 token limit in training).", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8557 is the best global issue candidate because it is the most precise statement of the shared SD3 training token-limit bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6444", + "right": "issue:7728", + "accept": false, + "reason": "Both are SDXL LoRA/accelerate training failures, but the reported errors differ (peft_config/checkpointing vs accelerate error) and do not look like one concrete bug." + }, + { + "left": "issue:8500", + "right": "issue:8557", + "accept": true, + "reason": "Same underlying SD3 training token-limit problem; titles and scope match closely enough to treat as duplicates." + }, + { + "left": "issue:1398", + "right": "issue:1552", + "accept": false, + "reason": "Both mention Stable Diffusion 2 on Apple/MPS-related settings, but one is a platform compatibility issue and the other is attention slicing behavior; not the same bug." + }, + { + "left": "issue:3706", + "right": "issue:8414", + "accept": false, + "reason": "Both are model-related announcements/requests, but Wuerstchen and ConsistencyTTA are different models and changes." + }, + { + "left": "issue:10381", + "right": "issue:10798", + "accept": false, + "reason": "Both involve Flux quantization, but one is inference with quantization+LoRA/Quanto and the other is a bitsandbytes device-combination bug; too different to merge." + }, + { + "left": "issue:1166", + "right": "issue:1475", + "accept": false, + "reason": "Different training scenarios and failures; one is TPU textual inversion saving hang, the other is mixed class-image DreamBooth/textual inversion training." + }, + { + "left": "issue:3325", + "right": "issue:4701", + "accept": false, + "reason": "Different runtime errors in different paths (CUDA invalid argument during DreamBooth vs AutoencoderKL CUDA error when differentiating)." + }, + { + "left": "issue:10128", + "right": "issue:2857", + "accept": false, + "reason": "Both are feature-support questions, but fastercache and UniDiffuser are unrelated requests." + }, + { + "left": "issue:11396", + "right": "issue:4453", + "accept": false, + "reason": "Both ask about LoRA conversion, but they target different ecosystems and formats (ComfyUI vs AUTO1111) and are not the same change." + }, + { + "left": "issue:4648", + "right": "issue:5578", + "accept": false, + "reason": "Both are missing-file loading errors, but they reference different expected files/configs and different model-loading failures." + }, + { + "left": "issue:4708", + "right": "issue:4969", + "accept": false, + "reason": "Import errors in the same library area, but the missing symbols/modules differ and do not point to one specific defect." + }, + { + "left": "issue:3764", + "right": "issue:5934", + "accept": false, + "reason": "Both involve torch.compile, but one is an interpreter-shutdown backend failure and the other is a general compile error; not the same bug." + }, + { + "left": "issue:10928", + "right": "issue:8939", + "accept": false, + "reason": "Both are model-loading issues, but one is a missing fp16 weight file and the other is a tokenizer loading failure for SD3; different root causes." + }, + { + "left": "issue:6794", + "right": "issue:7681", + "accept": false, + "reason": "Both are import-time failures, but they come from unrelated modules and error causes." + }, + { + "left": "issue:8614", + "right": "issue:8833", + "accept": false, + "reason": "Both complain about config.json missing, but they involve different models and loading contexts; too broad to unify." + }, + { + "left": "issue:11117", + "right": "issue:7854", + "accept": false, + "reason": "Both are dtype mismatch runtime errors, but the exact mismatch and affected pipeline differ." + }, + { + "left": "issue:2299", + "right": "issue:4000", + "accept": false, + "reason": "One asks about fine-tuned checkpoints in Diffusers; the other asks about converting SD2 ckpt to Diffusers format. Related topic, not same bug/change." + }, + { + "left": "issue:1976", + "right": "issue:9421", + "accept": false, + "reason": "Both are tokenizer/path loading errors, but they concern different model identifiers and likely different missing artifacts." + }, + { + "left": "issue:2089", + "right": "issue:4736", + "accept": false, + "reason": "Both are memory-related training issues, but they affect different scripts/models and one includes an invalid-value cast error; not the same defect." + }, + { + "left": "issue:1398", + "right": "issue:1614", + "accept": false, + "reason": "Different Stable Diffusion 2/MPS vs autocast-black-image failures; no clear shared underlying bug." + }, + { + "left": "issue:4566", + "right": "issue:7133", + "accept": false, + "reason": "Both involve resuming SDXL LoRA training from checkpoints, but the evidence is insufficient to say they are the same concrete failure." + }, + { + "left": "issue:12657", + "right": "issue:13249", + "accept": false, + "reason": "Different model-specific regressions: quantized Qwen Image Edit vs Z-Image LoRA support." + }, + { + "left": "issue:4229", + "right": "issue:7757", + "accept": false, + "reason": "Both are multi-GPU training problems, but one is an accelerated DreamBooth error and the other is ControlNet OOM; not one bug." + }, + { + "left": "issue:3032", + "right": "issue:3497", + "accept": false, + "reason": "Both are missing pipeline methods, but they are different methods/classes and separate API issues." + }, + { + "left": "issue:3497", + "right": "issue:5919", + "accept": false, + "reason": "Different API breakages: missing from_ckpt on a pipeline vs missing set_lora_layer on Linear." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted duplicate pair, issue:8500 / issue:8557, is well supported by the SD3 token-limit titles, and the rest of the soft-edge verdicts appropriately avoid overclaiming duplication from broad topical similarity alone." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 38, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10453", + "issue:10650", + "issue:10760", + "issue:11417", + "issue:11839", + "issue:12009", + "issue:1214", + "issue:1925", + "issue:2091", + "issue:3061", + "issue:3325", + "issue:3382", + "issue:3454", + "issue:3774", + "issue:4213", + "issue:4325", + "issue:4375", + "issue:5314", + "issue:5455", + "issue:5465", + "issue:5474", + "issue:5502", + "issue:5811", + "issue:5884", + "issue:5897", + "issue:6096", + "issue:6131", + "issue:6159", + "issue:6226", + "issue:6351", + "issue:6446", + "issue:6492", + "issue:6548", + "issue:6561", + "issue:6821", + "issue:7418", + "issue:7619", + "issue:7681", + "issue:7735", + "issue:7848", + "issue:8871", + "issue:9208", + "issue:9497", + "issue:9548", + "issue:964", + "issue:9643", + "issue:9727", + "issue:9799" + ], + "soft_pairs": [ + "issue:4325|issue:6492", + "issue:5811|issue:5884", + "issue:3325|issue:7619", + "issue:1925|issue:964", + "issue:6226|issue:6446", + "issue:11417|issue:6351", + "issue:5314|issue:5474", + "issue:3454|issue:5502", + "issue:5465|issue:6159", + "issue:1214|issue:4213", + "issue:6131|issue:6561", + "issue:2091|issue:3382", + "issue:10453|issue:9643", + "issue:4375|issue:6096", + "issue:10650|issue:11839", + "issue:2091|issue:3774", + "issue:9497|issue:9727", + "issue:3061|issue:6548", + "issue:6821|issue:7735", + "issue:9497|issue:9799", + "issue:5455|issue:5897", + "issue:10760|issue:7681", + "issue:7418|issue:7848", + "issue:8871|issue:9548", + "issue:12009|issue:9208" + ], + "prepared_review_unit_hash": "bc55ddf53b56ff5edb778c7a748964f2ec886125a6cee8c286b441907ea0cb0f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 35013, + "estimated_input_tokens": 8754, + "estimated_eval_tokens": 17764 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a mixed set of superficially similar issues. The only likely duplicate pair is the two black-image generation reports; the rest are distinct bugs, model-loading failures, or training/config errors that just share broad subsystem keywords.", + "confidence": 0.61, + "canonical_issue_reason": "issue:6492 is the clearest canonical target for the black-image symptom: it is broader and more general than issue:4325, which includes a more specific SDXL warning but the same visible failure.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6492 is the best representative issue overall because it matches the only strong duplicate pair and is phrased as the general user-facing symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4325", + "right": "issue:6492", + "accept": true, + "reason": "Both report black images during generation; 4325 adds a warning, but the core symptom and likely fix area are the same." + }, + { + "left": "issue:5811", + "right": "issue:5884", + "accept": false, + "reason": "One is about callback_on_step_end support, the other about IP-Adapter support; different features and different code paths." + }, + { + "left": "issue:3325", + "right": "issue:7619", + "accept": false, + "reason": "Both are Dreambooth-related, but one is a CUDA invalid-argument crash and the other is a channel-shape error; not the same bug." + }, + { + "left": "issue:1925", + "right": "issue:964", + "accept": false, + "reason": "Both mention inpainting, but 1925 is specifically half-precision failure while 964 is a general inpainting example failure." + }, + { + "left": "issue:6226", + "right": "issue:6446", + "accept": false, + "reason": "These describe unrelated loading problems in different contexts; shared diffusion-model loading is too broad to merge." + }, + { + "left": "issue:11417", + "right": "issue:6351", + "accept": false, + "reason": "Both involve DDP wrapper attribute access, but one is missing dtype and the other is missing disable_adapters; different concrete failures." + }, + { + "left": "issue:5314", + "right": "issue:5474", + "accept": false, + "reason": "A new pipeline request and a different reference-only pipeline proposal are not the same bug or change." + }, + { + "left": "issue:3454", + "right": "issue:5502", + "accept": false, + "reason": "Different training scripts and different failures; one is a latest-version runtime issue, the other is fp16 support in custom diffusion training." + }, + { + "left": "issue:5465", + "right": "issue:6159", + "accept": false, + "reason": "Both are parameter-support gaps, but for different pipelines and different arguments; not one underlying defect." + }, + { + "left": "issue:1214", + "right": "issue:4213", + "accept": false, + "reason": "Half-precision CLIPTextModel failure and missing-accelerate from_single_file loading are unrelated." + }, + { + "left": "issue:6131", + "right": "issue:6561", + "accept": false, + "reason": "One is an IP-Adapter feature not working, the other is a missing config file for a model repo; different root causes." + }, + { + "left": "issue:2091", + "right": "issue:3382", + "accept": false, + "reason": "Checkpoint resume/multi-GPU behavior and multi-GPU OOM are different training issues." + }, + { + "left": "issue:10453", + "right": "issue:9643", + "accept": false, + "reason": "Both are model capability limitations, but batch-size >1 for Hunyuan Video is unrelated to multiple ControlNets in Flux." + }, + { + "left": "issue:4375", + "right": "issue:6096", + "accept": false, + "reason": "Both involve torch.compile crashes, but the model paths and exceptions differ; too broad to treat as one bug." + }, + { + "left": "issue:10650", + "right": "issue:11839", + "accept": false, + "reason": "Both are invalid-size errors, but they affect different models/pipelines and likely different shape assumptions." + }, + { + "left": "issue:2091", + "right": "issue:3774", + "accept": false, + "reason": "Checkpoint resumption and ZeRO3 memory savings are separate training concerns, not the same bug." + }, + { + "left": "issue:9497", + "right": "issue:9727", + "accept": false, + "reason": "Both are Flux dreambooth issues, but one is a matmul shape error and the other is a multigpu save problem." + }, + { + "left": "issue:3061", + "right": "issue:6548", + "accept": false, + "reason": "A reproducibility complaint is not the same as an RGBA latents-handling bug in img2img." + }, + { + "left": "issue:6821", + "right": "issue:7735", + "accept": false, + "reason": "Both mention caption_column, but one is about an invalid allowed value and the other about a missing column; different validation failures." + }, + { + "left": "issue:9497", + "right": "issue:9799", + "accept": false, + "reason": "Different runtime shape mismatches in different Flux-related contexts; no clear shared code-path." + }, + { + "left": "issue:5455", + "right": "issue:5897", + "accept": false, + "reason": "A notebook subprocess failure and a device-mismatch LoRA training error are unrelated." + }, + { + "left": "issue:10760", + "right": "issue:7681", + "accept": false, + "reason": "Importing a removed class and an OpenSSL/X509 import failure are unrelated import-time errors." + }, + { + "left": "issue:7418", + "right": "issue:7848", + "accept": false, + "reason": "These are different community pipelines with different decoding/implementation issues." + }, + { + "left": "issue:8871", + "right": "issue:9548", + "accept": false, + "reason": "An fp16 gradient unscale failure and a Flux Dreambooth multigpu save issue are distinct training bugs." + }, + { + "left": "issue:12009", + "right": "issue:9208", + "accept": false, + "reason": "Both are from_single_file loading failures, but they concern different models and formats; not the same concrete bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analysis is grounded in the packet and stays conservative overall. The only accepted soft pair, issue:4325 \u2194 issue:6492, is supported by the shared black-image symptom, and the rest of the rejections avoid overclaiming duplicate status from broad subsystem similarity. The summary matches the evidence without overstating it." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 39, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1082", + "issue:11247", + "issue:11410", + "issue:12587", + "issue:1260", + "issue:12699", + "issue:12720", + "issue:13073", + "issue:1672", + "issue:1976", + "issue:222", + "issue:2299", + "issue:2331", + "issue:2437", + "issue:2578", + "issue:281", + "issue:3061", + "issue:3152", + "issue:4213", + "issue:4483", + "issue:4566", + "issue:4911", + "issue:4969", + "issue:5128", + "issue:579", + "issue:5897", + "issue:6146", + "issue:6154", + "issue:6203", + "issue:6218", + "issue:6353", + "issue:6415", + "issue:6561", + "issue:684", + "issue:6964", + "issue:6967", + "issue:7146", + "issue:7147", + "issue:725", + "issue:7757", + "issue:8686", + "issue:8939", + "issue:8956", + "issue:9051", + "issue:9527", + "issue:9667", + "issue:9841" + ], + "soft_pairs": [ + "issue:1672|issue:2299", + "issue:3152|issue:4969", + "issue:1260|issue:7147", + "issue:12699|issue:12720", + "issue:4911|issue:5128", + "issue:2578|issue:4213", + "issue:6353|issue:7146", + "issue:6154|issue:6967", + "issue:6415|issue:6561", + "issue:11247|issue:9527", + "issue:2331|issue:2437", + "issue:222|issue:684", + "issue:1082|issue:5897", + "issue:12587|issue:6203", + "issue:4566|issue:9841", + "issue:1976|issue:579", + "issue:6146|issue:7757", + "issue:6218|issue:6964", + "issue:11410|issue:9667", + "issue:281|issue:725", + "issue:8939|issue:8956", + "issue:13073|issue:9051", + "issue:3061|issue:4483", + "issue:6964|issue:8686" + ], + "prepared_review_unit_hash": "fd99d15f6d3508c1c6e6c5af9e00f5202ed36bd812da6a18df2b0419fb824159", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33950, + "estimated_input_tokens": 8488, + "estimated_eval_tokens": 17232 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly thematically related diffusers issues, but the proposed soft pairs do not describe the same concrete bug/change. They span different models, pipelines, training scripts, and failure modes, so none should be merged as duplicates from the available evidence.", + "confidence": 0.81, + "canonical_issue_reason": "Issue #2331 is the broadest, most central ControlNet feature request in the set and has the strongest discussion/inbound-reference signal, making it the best representative issue if one must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #2331 is the most suitable global issue representative because it anchors the ControlNet pipeline area that several other issues touch, while still being a distinct, well-scoped canonical discussion.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1672", + "right": "issue:2299", + "accept": false, + "reason": "Both concern converted Stable Diffusion checkpoints, but one is about output image size after ckpt-to-diffusers conversion and the other is about loading fast-stable-diffusion fine-tuned checkpoints; different failure modes." + }, + { + "left": "issue:3152", + "right": "issue:4969", + "accept": false, + "reason": "Both are import errors, but they involve unrelated TensorFlow and diffusers symbols/modules, so they are not the same bug." + }, + { + "left": "issue:1260", + "right": "issue:7147", + "accept": false, + "reason": "Both are import-name problems, but they target different missing pipeline classes and different releases/features." + }, + { + "left": "issue:12699", + "right": "issue:12720", + "accept": false, + "reason": "One is about video quality degrading after repeated prompt calls, the other about quantizing Wan 2.2 VACE after loading LoRA; different behavior and code path." + }, + { + "left": "issue:4911", + "right": "issue:5128", + "accept": false, + "reason": "Both involve from_single_file loading, but one is a custom text encoder loading problem and the other is a local safetensors model loading issue." + }, + { + "left": "issue:2578", + "right": "issue:4213", + "accept": false, + "reason": "Editable install failure vs. SDXL from_single_file requiring accelerate; related packaging/loading area, but not the same underlying defect." + }, + { + "left": "issue:6353", + "right": "issue:7146", + "accept": false, + "reason": "Both mention SDXL training and errors, but one is a controlnet training example failure while the other is a CUDA OOM during text-to-image fine-tuning." + }, + { + "left": "issue:6154", + "right": "issue:6967", + "accept": false, + "reason": "Both are SDXL training issues, but one is on M2 Mac LoRA training and the other is a prior-preservation shape mismatch in an advanced DreamBooth LoRA script." + }, + { + "left": "issue:6415", + "right": "issue:6561", + "accept": false, + "reason": "Both are about IP-Adapter-related support/loading, but one is FaceID feature support and the other is a missing image_encoder config file." + }, + { + "left": "issue:11247", + "right": "issue:9527", + "accept": false, + "reason": "Both mention multi-GPU/controlnet/Flux-style distribution, but one is about distributing FluxTransformer2DModel with controlnet and the other is a dtype mismatch between controlnet and main pipeline." + }, + { + "left": "issue:2331", + "right": "issue:2437", + "accept": false, + "reason": "Different feature requests: ControlNet pipeline versus T2I-Adapter pipeline. Same ecosystem, not the same change." + }, + { + "left": "issue:222", + "right": "issue:684", + "accept": false, + "reason": "Training runtime error on generic setup vs. AMD-specific memory optimization failure; different environments and causes." + }, + { + "left": "issue:1082", + "right": "issue:5897", + "accept": false, + "reason": "Both are training runtime failures, but one is a CUDA cublas execution error during DreamBooth and the other is a device-mismatch error in LoRA training." + }, + { + "left": "issue:12587", + "right": "issue:6203", + "accept": false, + "reason": "One is a question about context_pre_only usage, the other is about SDXL ControlNet image-size conditioning; not the same bug." + }, + { + "left": "issue:4566", + "right": "issue:9841", + "accept": false, + "reason": "Both are LoRA training issues, but one is resume-from-checkpoint and the other is a TypeError when use_dora is False; different code paths." + }, + { + "left": "issue:1976", + "right": "issue:579", + "accept": false, + "reason": "Both are missing-config/file lookup errors, but they concern different components and assets (tokenizer config vs textual inversion config)." + }, + { + "left": "issue:6146", + "right": "issue:7757", + "accept": false, + "reason": "Both relate to multi-GPU training, but they are different scripts and problems: DreamBooth LoRA multi-GPU vs ControlNet SDXL OOM." + }, + { + "left": "issue:6218", + "right": "issue:6964", + "accept": false, + "reason": "Both involve ControlNet pipelines, but one is batched seeds behavior and the other is 4-channel UNet support; not the same defect." + }, + { + "left": "issue:11410", + "right": "issue:9667", + "accept": false, + "reason": "Both reference attention/transformer code, but one is an unpacking error in attention_processor and the other is loading a flux fp8 model with a local transformer file." + }, + { + "left": "issue:281", + "right": "issue:725", + "accept": false, + "reason": "Both concern memory/loading optimizations, but one asks to natively use Accelerate and the other is about adding device map and accelerate to DiffusionPipeline; overlapping area, not duplicate." + }, + { + "left": "issue:8939", + "right": "issue:8956", + "accept": false, + "reason": "Both are model-loading errors for diffusion models, but they affect different model families and tokenizer/model asset layouts." + }, + { + "left": "issue:13073", + "right": "issue:9051", + "accept": false, + "reason": "Both are pipeline capability limitations, but one is ZImageControlNet guidance_scale behavior and the other is FluxPipeline batch inference support." + }, + { + "left": "issue:3061", + "right": "issue:4483", + "accept": false, + "reason": "Both are reproducibility-related, but one is general Stable Diffusion pipeline reproducibility and the other is SDXL generator determinism; similar class of issue, not the same bug." + }, + { + "left": "issue:6964", + "right": "issue:8686", + "accept": false, + "reason": "Both are ControlNet pipeline issues, but one is 4-channel UNet compatibility and the other is SDXLCFGCutoffCallback support." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 40, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10226", + "issue:10350", + "issue:10569", + "issue:10920", + "issue:11023", + "issue:1305", + "issue:13079", + "issue:1486", + "issue:2185", + "issue:2210", + "issue:2774", + "issue:2875", + "issue:2904", + "issue:2941", + "issue:2947", + "issue:3019", + "issue:3451", + "issue:3565", + "issue:4137", + "issue:4213", + "issue:4483", + "issue:5510", + "issue:5846", + "issue:6082", + "issue:6224", + "issue:6280", + "issue:6481", + "issue:7142", + "issue:7146", + "issue:7178", + "issue:7185", + "issue:7221", + "issue:730", + "issue:7330", + "issue:761", + "issue:7629", + "issue:7782", + "issue:8504", + "issue:852", + "issue:9026", + "issue:9141", + "issue:9270", + "issue:9497", + "issue:9514", + "issue:9810", + "issue:9911" + ], + "soft_pairs": [ + "issue:2904|issue:2947", + "issue:10920|issue:1486", + "issue:5510|issue:6082", + "issue:2941|issue:4483", + "issue:6224|issue:7146", + "issue:10350|issue:10569", + "issue:6481|issue:761", + "issue:7185|issue:9810", + "issue:4213|issue:7178", + "issue:9270|issue:9514", + "issue:1305|issue:3019", + "issue:13079|issue:7629", + "issue:5846|issue:7330", + "issue:2210|issue:8504", + "issue:2774|issue:7782", + "issue:11023|issue:7221", + "issue:4137|issue:7142", + "issue:852|issue:9026", + "issue:10226|issue:9497", + "issue:6280|issue:9141", + "issue:10026|issue:9911", + "issue:6481|issue:730", + "issue:3451|issue:3565", + "issue:2185|issue:2875" + ], + "prepared_review_unit_hash": "304da58e4e207a97290f3551cbc301a3d6f995dab02f2163b60d681c98e6b1e0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33599, + "estimated_input_tokens": 8400, + "estimated_eval_tokens": 17056 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issues with superficial title similarity only; none of the soft pairs look like true duplicates or the same fix path.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue stands out: the cluster is heterogeneous (training, schedulers, conversion, memory, LoRA, and pipeline bugs) and the soft pairs are only broad topical overlaps.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9497 is the most concrete and well-scoped Flux training failure in the set, but it still should not be treated as the umbrella for the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2904", + "right": "issue:2947", + "accept": false, + "reason": "Different failures in different components: AudioLDM pipeline scheduler NoneType vs UNet attention-proc attribute missing." + }, + { + "left": "issue:10920", + "right": "issue:1486", + "accept": false, + "reason": "Both involve sample-mode scheduler math, but one is DDIMInverseScheduler first-iteration infs and the other is DDIMScheduler behavior; not the same bug." + }, + { + "left": "issue:5510", + "right": "issue:6082", + "accept": false, + "reason": "Both are dtype mismatch runtime errors, but in different pipelines and with no evidence of the same code path or fix." + }, + { + "left": "issue:2941", + "right": "issue:4483", + "accept": false, + "reason": "One is EulerAncestralDiscreteScheduler output quality, the other SDXL generator nondeterminism; different symptoms and causes." + }, + { + "left": "issue:6224", + "right": "issue:7146", + "accept": false, + "reason": "TorchDynamo fine-tuning issue vs SDXL CUDA OOM during training; same broad area, not the same defect." + }, + { + "left": "issue:10350", + "right": "issue:10569", + "accept": false, + "reason": "Both mention memory use, but for different models/components: SD2.1 VAE decoder vs HunyuanVideo on CPU." + }, + { + "left": "issue:6481", + "right": "issue:761", + "accept": false, + "reason": "DreamBooth batch-size failure and 8-bit Adam failure are distinct training problems with different triggers." + }, + { + "left": "issue:7185", + "right": "issue:9810", + "accept": false, + "reason": "PyTorch version support question vs LoRA module_to_save API gap; unrelated concerns." + }, + { + "left": "issue:4213", + "right": "issue:7178", + "accept": false, + "reason": "Missing from_single_file support for an SDXL pipeline vs export_to_video malfunction; unrelated code paths." + }, + { + "left": "issue:9270", + "right": "issue:9514", + "accept": false, + "reason": "Both concern Flux/LoRA, but one is SimpleTuner training support and the other is loading weights after fp8 quantization." + }, + { + "left": "issue:1305", + "right": "issue:3019", + "accept": false, + "reason": "Completely different feature requests/papers: Direct Inversion vs segment-anything text-guided editing." + }, + { + "left": "issue:13079", + "right": "issue:7629", + "accept": false, + "reason": "Both are OOM reports, but on different models and scenarios: FLUX.2-klein loop vs SVD on old PyTorch." + }, + { + "left": "issue:5846", + "right": "issue:7330", + "accept": false, + "reason": "Both are training-script errors, but one is resume/checkpoint handling and the other is FP16 gradient unscale during LoRA training." + }, + { + "left": "issue:2210", + "right": "issue:8504", + "accept": false, + "reason": "Both are LoRA/text-encoder related, but one requests training the text encoder and the other asks for selecting which encoders to train in SD3-Medium." + }, + { + "left": "issue:2774", + "right": "issue:7782", + "accept": false, + "reason": "Both are conversion/unpickling problems, but they involve different failure modes and file handling paths." + }, + { + "left": "issue:11023", + "right": "issue:7221", + "accept": false, + "reason": "Blurred output in a custom pipeline and noisy output from a model checkpoint are too vague to be the same underlying bug." + }, + { + "left": "issue:4137", + "right": "issue:7142", + "accept": false, + "reason": "Inference mismatch with WebUI in two different contexts; no concrete shared code path or identical defect." + }, + { + "left": "issue:852", + "right": "issue:9026", + "accept": false, + "reason": "Both are API incompatibilities, but against different functions and kwargs; not the same issue." + }, + { + "left": "issue:10226", + "right": "issue:9497", + "accept": false, + "reason": "Both are Flux Dreambooth training errors, but one is tensor size mismatch and the other is mat2 dimensionality; distinct failure points." + }, + { + "left": "issue:6280", + "right": "issue:9141", + "accept": false, + "reason": "Same missing-from_single_file theme, but for different pipeline classes; separate support gaps rather than one duplicate bug." + }, + { + "left": "issue:10026", + "right": "issue:9911", + "accept": false, + "reason": "Both mention Flux controlnet training, but one is memory scaling under DeepSpeed and the other is a multi-controlnet shape mismatch." + }, + { + "left": "issue:6481", + "right": "issue:730", + "accept": false, + "reason": "DreamBooth batch-size >1 failure vs local-vs-Colab training behavior; different underlying problems." + }, + { + "left": "issue:3451", + "right": "issue:3565", + "accept": false, + "reason": "fp16 higher memory than fp32 in a training script vs generic text-to-image OOM; related theme, but not the same bug." + }, + { + "left": "issue:2185", + "right": "issue:2875", + "accept": false, + "reason": "Missing config files for a naive text-to-image example vs training loss becoming NaN; unrelated issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 41, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10226", + "issue:10392", + "issue:10848", + "issue:11117", + "issue:11853", + "issue:11922", + "issue:12047", + "issue:12459", + "issue:12535", + "issue:1540", + "issue:1541", + "issue:1672", + "issue:1988", + "issue:3284", + "issue:3454", + "issue:4086", + "issue:4094", + "issue:4125", + "issue:4398", + "issue:4405", + "issue:4875", + "issue:5016", + "issue:5178", + "issue:5510", + "issue:5565", + "issue:5791", + "issue:5798", + "issue:5956", + "issue:5966", + "issue:6117", + "issue:6154", + "issue:6232", + "issue:6297", + "issue:6382", + "issue:6967", + "issue:7589", + "issue:7658", + "issue:8589", + "issue:9278", + "issue:9420", + "issue:9476", + "issue:9497", + "issue:9546", + "issue:9667", + "issue:9841", + "issue:9857", + "issue:9914", + "issue:993" + ], + "soft_pairs": [ + "issue:4125|issue:5956", + "issue:11853|issue:6382", + "issue:11117|issue:5510", + "issue:1672|issue:993", + "issue:1988|issue:9476", + "issue:10226|issue:6967", + "issue:5791|issue:8589", + "issue:4398|issue:9841", + "issue:3284|issue:3454", + "issue:9667|issue:9914", + "issue:4086|issue:7589", + "issue:9278|issue:9497", + "issue:9546|issue:9857", + "issue:4875|issue:5178", + "issue:5565|issue:6154", + "issue:11922|issue:12459", + "issue:4094|issue:4405", + "issue:10848|issue:5798", + "issue:12047|issue:12535", + "issue:10392|issue:9420", + "issue:5016|issue:6297", + "issue:1540|issue:1541", + "issue:6117|issue:6232", + "issue:5966|issue:7658" + ], + "prepared_review_unit_hash": "64c563357038b673ea22b8478f2eee4fd42e769760bb8d2d7264d65dce647605", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34274, + "estimated_input_tokens": 8569, + "estimated_eval_tokens": 17394 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly heterogeneous and dominated by title similarity rather than true duplicates. Only the Dreambooth MODEL_TYPE pair looks like a real duplicate; the rest should stay separate.", + "confidence": 0.71, + "canonical_issue_reason": "issue:1541 is the clearest concrete bug report and best matches the only obvious duplicate pair about Dreambooth MODEL_TYPE / CKPT loading.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:1541 is the most specific and actionable issue in the cluster; it names the actual failure mode more clearly than 1540.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4125", + "right": "issue:5956", + "accept": false, + "reason": "Both are training-quality complaints, but they concern different models and symptoms, not the same bug." + }, + { + "left": "issue:11853", + "right": "issue:6382", + "accept": false, + "reason": "Both mention IP-Adapter, but one is a load-time key error and the other is a controlnet/IP-adapter conflict; different failure paths." + }, + { + "left": "issue:11117", + "right": "issue:5510", + "accept": false, + "reason": "Both are dtype mismatch errors, but in different pipelines and code paths, so they are not clearly the same bug." + }, + { + "left": "issue:1672", + "right": "issue:993", + "accept": false, + "reason": "Image-size conversion failure vs fp16 dtype mismatch; unrelated issues." + }, + { + "left": "issue:1988", + "right": "issue:9476", + "accept": false, + "reason": "Both are type/bias mismatches, but they occur in different scripts and model families; not the same concrete defect." + }, + { + "left": "issue:10226", + "right": "issue:6967", + "accept": false, + "reason": "Both involve shape mismatches in Dreambooth/LoRA, but the model setups and reported failures differ too much to merge." + }, + { + "left": "issue:5791", + "right": "issue:8589", + "accept": false, + "reason": "Both mention prior preservation, but one is about interaction with SNR gamma and the other is a separate SD3 training issue." + }, + { + "left": "issue:4398", + "right": "issue:9841", + "accept": false, + "reason": "Black-image generation and a use_dora TypeError are different bugs." + }, + { + "left": "issue:3284", + "right": "issue:3454", + "accept": false, + "reason": "Same script family, but these read as broad compatibility complaints rather than one shared code-path bug." + }, + { + "left": "issue:9667", + "right": "issue:9914", + "accept": false, + "reason": "Both are Flux loading problems, but one is fp8 model loading and the other is LoRA loading; different defects." + }, + { + "left": "issue:4086", + "right": "issue:7589", + "accept": false, + "reason": "Different subsystems entirely: SDXL ControlNet training vs GLIGEN layout synthesis." + }, + { + "left": "issue:9278", + "right": "issue:9497", + "accept": false, + "reason": "One is multigpu training support and the other is a mat2 dimensionality error; not the same issue." + }, + { + "left": "issue:9546", + "right": "issue:9857", + "accept": false, + "reason": "OOM during validation and embedding size mismatch are different failures." + }, + { + "left": "issue:4875", + "right": "issue:5178", + "accept": false, + "reason": "Both are DPM-SDE-related crashes when inputs change shape, but the scheduler variants and reported triggers differ; too weak to treat as one bug." + }, + { + "left": "issue:5565", + "right": "issue:6154", + "accept": false, + "reason": "Both are SDXL LoRA training problems, but one is a script/run issue and the other is an M2 Mac failure." + }, + { + "left": "issue:11922", + "right": "issue:12459", + "accept": false, + "reason": "Different FLUX tasks: fill-dev running problem vs Kontext batch inference throughput." + }, + { + "left": "issue:4094", + "right": "issue:4405", + "accept": false, + "reason": "Both are feature requests for training scripts, but they target different techniques and are not duplicates." + }, + { + "left": "issue:10848", + "right": "issue:5798", + "accept": false, + "reason": "Both are unexpected keyword argument errors, but they involve different functions and unrelated APIs." + }, + { + "left": "issue:12047", + "right": "issue:12535", + "accept": false, + "reason": "Both concern Wan2.2 LoRAs, but one is fusion on GGUF and the other is loading a Lightning LoRA; not the same bug." + }, + { + "left": "issue:10392", + "right": "issue:9420", + "accept": false, + "reason": "Both are Flux/Hyper-SD-related, but one is an fp8 loading setup and the other is a saved LoRA load failure." + }, + { + "left": "issue:5016", + "right": "issue:6297", + "accept": false, + "reason": "Both are Dreambooth SDXL LoRA training complaints, but one is specifically about text encoder training and the other is a vague inability to train on photos." + }, + { + "left": "issue:1540", + "right": "issue:1541", + "accept": true, + "reason": "Both report the same Dreambooth MODEL_TYPE/CKPT loading failure; they are clearly the same underlying bug." + }, + { + "left": "issue:6117", + "right": "issue:6232", + "accept": false, + "reason": "Both are scheduler add_noise issues, but they affect different schedulers and settings." + }, + { + "left": "issue:5966", + "right": "issue:7658", + "accept": false, + "reason": "Feature/question about ControlNet support vs asking about multiple conditioning; not duplicates." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The canonical choice and summary are grounded in the packet. The Dreambooth MODEL_TYPE pair is the only clearly supported duplicate, and the soft-edge rejections are appropriately conservative given that the evidence is mostly title-level similarity. No PR-mergeability issue applies here." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 42, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10833", + "issue:11023", + "issue:11117", + "issue:11127", + "issue:11133", + "issue:11285", + "issue:11352", + "issue:11432", + "issue:12216", + "issue:12458", + "issue:13043", + "issue:13105", + "issue:13258", + "issue:1552", + "issue:175", + "issue:2549", + "issue:2891", + "issue:3382", + "issue:3451", + "issue:3803", + "issue:4206", + "issue:4520", + "issue:4724", + "issue:4872", + "issue:4925", + "issue:5075", + "issue:5254", + "issue:5455", + "issue:5769", + "issue:5805", + "issue:6159", + "issue:6278", + "issue:6695", + "issue:6832", + "issue:7466", + "issue:7666", + "issue:771", + "issue:7799", + "issue:8405", + "issue:8414", + "issue:8667", + "issue:8939", + "issue:9112", + "issue:9237", + "issue:938", + "issue:9500", + "issue:9667", + "issue:9953" + ], + "soft_pairs": [ + "issue:11352|issue:9953", + "issue:6832|issue:7799", + "issue:3803|issue:6278", + "issue:4206|issue:4925", + "issue:11127|issue:9667", + "issue:12216|issue:12458", + "issue:3382|issue:4925", + "issue:8405|issue:9112", + "issue:8414|issue:938", + "issue:8667|issue:9112", + "issue:4872|issue:4925", + "issue:175|issue:5769", + "issue:13105|issue:13258", + "issue:1552|issue:771", + "issue:9237|issue:9500", + "issue:2891|issue:6159", + "issue:2549|issue:4520", + "issue:3382|issue:3451", + "issue:11117|issue:5805", + "issue:5254|issue:7466", + "issue:11432|issue:4724", + "issue:10833|issue:5075", + "issue:5455|issue:6695", + "issue:11023|issue:7666", + "issue:11133|issue:13043", + "issue:11285|issue:8939" + ], + "prepared_review_unit_hash": "dfd5587a9e57af423c12d206e8e454b65e5c04abf73b772c087e309ad0addd6b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 35161, + "estimated_input_tokens": 8791, + "estimated_eval_tokens": 17838 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are only superficially similar: they share broad vocabulary like shape mismatch, dtype mismatch, quantization, multi-GPU, or specific model names, but they point to different models, pipelines, or code paths. I would not merge any of the soft edges; the closest recurring theme is quantized-model device transfer, best represented by issue 9953.", + "confidence": 0.87, + "canonical_issue_reason": "Issue 9953 is the broadest and most representative concrete bug in the set: moving a pipeline with quantized components to CUDA. It is more general than the nearby CPU-warning report, but still distinct enough that the pair should not be treated as duplicates.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9953 is the best overall representative issue among these items because it is concrete, widely scoped, and closest to the strongest recurring subsystem theme in the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11352", + "right": "issue:9953", + "accept": false, + "reason": "Same broad quantization/device-move area, but one is a missing CPU warning and the other is a CUDA transfer error; different symptom and likely different fix." + }, + { + "left": "issue:6832", + "right": "issue:7799", + "accept": false, + "reason": "Both mention matmul/shape mismatch, but they involve different pipelines and different adapter combinations, so they are not the same bug." + }, + { + "left": "issue:3803", + "right": "issue:6278", + "accept": false, + "reason": "Both are multi-GPU training problems, but one is LoRA model sharing and the other is LCM distillation startup; different failure modes." + }, + { + "left": "issue:4206", + "right": "issue:4925", + "accept": false, + "reason": "Both touch SDXL controlnet training, but one is a broken main-branch regression while the other is distributed OOM; not the same defect." + }, + { + "left": "issue:11127", + "right": "issue:9667", + "accept": false, + "reason": "Both are Flux single-file/loading complaints, but one is a CivitAI model not working and the other is a local transformer file loading error; too different to merge." + }, + { + "left": "issue:12216", + "right": "issue:12458", + "accept": false, + "reason": "Both are Qwen-image-edit reports, but one is output quality and the other is batch inference/feature request; not a duplicate bug." + }, + { + "left": "issue:3382", + "right": "issue:4925", + "accept": false, + "reason": "Both mention GPU memory, but one is a multi-GPU training OOM and the other is SDXL controlnet distributed OOM; different code paths and contexts." + }, + { + "left": "issue:8405", + "right": "issue:9112", + "accept": false, + "reason": "Both have tensor-size issues, but they are for different models and pipelines, so they do not appear to be the same underlying bug." + }, + { + "left": "issue:8414", + "right": "issue:938", + "accept": false, + "reason": "A new text-to-audio model request is unrelated to a human motion diffusion model issue." + }, + { + "left": "issue:8667", + "right": "issue:9112", + "accept": false, + "reason": "Both are dimension mismatch errors, but one is SD3ControlNetModel and the other is Auraflow inference; different model-specific bugs." + }, + { + "left": "issue:4872", + "right": "issue:4925", + "accept": false, + "reason": "Both are OOM reports, but one is SDXL finetuning on T4 and the other is distributed ControlNet training; not the same problem." + }, + { + "left": "issue:175", + "right": "issue:5769", + "accept": false, + "reason": "One is about example training seeding and the other is about mixed precision correctness; unrelated concerns." + }, + { + "left": "issue:13105", + "right": "issue:13258", + "accept": false, + "reason": "Both concern Wan models, but one is noisy output from T2V and the other is missing TI2V functionality; different issues." + }, + { + "left": "issue:1552", + "right": "issue:771", + "accept": false, + "reason": "Different feature bugs: attention slicing with SD2 versus BF16 with dreambooth." + }, + { + "left": "issue:9237", + "right": "issue:9500", + "accept": false, + "reason": "Both involve Flux training, but one is LoRA training and the other is checkpoint saving during dreambooth; not the same bug." + }, + { + "left": "issue:2891", + "right": "issue:6159", + "accept": false, + "reason": "Unsupported embeddings in one pipeline and unsupported denoising_end in another are separate API-support issues." + }, + { + "left": "issue:2549", + "right": "issue:4520", + "accept": false, + "reason": "One is SD2 UNet compatibility, the other is LoRA scale with attention slicing; different functionality." + }, + { + "left": "issue:3382", + "right": "issue:3451", + "accept": false, + "reason": "Both are training memory topics, but one is multi-GPU OOM and the other is fp16 using more memory than fp32; different root causes." + }, + { + "left": "issue:11117", + "right": "issue:5805", + "accept": false, + "reason": "Both are dtype mismatch errors, but they affect different pipelines and backends; too model-specific to treat as duplicates." + }, + { + "left": "issue:5254", + "right": "issue:7466", + "accept": false, + "reason": "A feature request for multi-ControlNet support is not the same as a torch.compile failure in multi-ControlNet inpaint." + }, + { + "left": "issue:11432", + "right": "issue:4724", + "accept": false, + "reason": "torch_dtype='auto' loading behavior and SDXL img2img quality/behavior are unrelated." + }, + { + "left": "issue:10833", + "right": "issue:5075", + "accept": false, + "reason": "Both are matrix-shape errors, but they happen in different pipelines and on different model families; not the same concrete bug." + }, + { + "left": "issue:5455", + "right": "issue:6695", + "accept": false, + "reason": "Both mention subprocess errors, but the underlying notebook/workflow failures are unrelated." + }, + { + "left": "issue:11023", + "right": "issue:7666", + "accept": false, + "reason": "Both mention lpw_stable_diffusion_xl, but one is blurry output on Playground v2.5 and the other is from_single_file incompatibility; different problems." + }, + { + "left": "issue:11133", + "right": "issue:13043", + "accept": false, + "reason": "A CogVideoX image-to-video bug is unrelated to a GPU kernel support issue on RTX 5090." + }, + { + "left": "issue:11285", + "right": "issue:8939", + "accept": false, + "reason": "A conversion/value-error report and a tokenizer-loading failure are different failure modes with no clear duplicate evidence." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 43, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10040", + "issue:1082", + "issue:10937", + "issue:1100", + "issue:11133", + "issue:12108", + "issue:12195", + "issue:12235", + "issue:1249", + "issue:12666", + "issue:13351", + "issue:1875", + "issue:2234", + "issue:2296", + "issue:2578", + "issue:2904", + "issue:3382", + "issue:3481", + "issue:3497", + "issue:4052", + "issue:4316", + "issue:4356", + "issue:4450", + "issue:4542", + "issue:4872", + "issue:5006", + "issue:539", + "issue:5455", + "issue:5607", + "issue:6239", + "issue:6280", + "issue:6761", + "issue:7133", + "issue:7146", + "issue:7147", + "issue:7178", + "issue:720", + "issue:7263", + "issue:7378", + "issue:758", + "issue:7644", + "issue:7735", + "issue:8613", + "issue:8667", + "issue:8817", + "issue:9112", + "issue:9187", + "issue:9202" + ], + "soft_pairs": [ + "issue:5455|issue:7133", + "issue:1082|issue:7146", + "issue:5006|issue:7146", + "issue:3382|issue:4872", + "issue:2578|issue:7178", + "issue:12235|issue:13351", + "issue:4450|issue:7735", + "issue:4542|issue:7378", + "issue:539|issue:6761", + "issue:7644|issue:8667", + "issue:8817|issue:9202", + "issue:10040|issue:3481", + "issue:1875|issue:720", + "issue:11133|issue:12108", + "issue:4052|issue:6280", + "issue:12666|issue:4356", + "issue:5607|issue:9112", + "issue:10937|issue:6239", + "issue:2904|issue:3497", + "issue:12195|issue:4356", + "issue:2234|issue:2296", + "issue:4316|issue:8613", + "issue:7263|issue:9187", + "issue:7147|issue:758", + "issue:1100|issue:1249" + ], + "prepared_review_unit_hash": "16cf077ca266ec3a8300b23713746c6bf24ae0dfe94deed0fffb0c9e8ba450dd", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34716, + "estimated_input_tokens": 8679, + "estimated_eval_tokens": 17614 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All candidate edges are weak title-level similarities; none look like the same concrete bug/change, so I rejected every soft pair. The issues span unrelated failures, model families, and code paths.", + "confidence": 0.79, + "canonical_issue_reason": "Issue 7146 is the clearest, most concrete bug report in the set: a specific SDXL training OOM with script/version context. It is the best available representative only because there is no strong duplicate cluster here.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 7146 has a well-scoped reproduction target and specific failure mode, making it the most suitable single issue to anchor triage if one must be chosen from this mixed set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5455", + "right": "issue:7133", + "accept": false, + "reason": "Both involve Dreambooth/training, but one is a notebook subprocess failure and the other is a checkpoint-resume text-encoder size mismatch; different bugs." + }, + { + "left": "issue:1082", + "right": "issue:7146", + "accept": false, + "reason": "Both are CUDA failures during training, but the error types and contexts differ (CUBLAS matmul crash vs SDXL training OOM)." + }, + { + "left": "issue:5006", + "right": "issue:7146", + "accept": false, + "reason": "Both mention SDXL training memory issues, but one is end-of-training BF16 OOM and the other is a general training OOM; not the same concrete failure." + }, + { + "left": "issue:3382", + "right": "issue:4872", + "accept": false, + "reason": "Both are OOM reports, but one is multi-GPU text-to-image training and the other is T4 Colab SDXL finetuning; too broad to be the same bug." + }, + { + "left": "issue:2578", + "right": "issue:7178", + "accept": false, + "reason": "Editable install failure and export_to_video malfunction are unrelated code paths and different kinds of breakage." + }, + { + "left": "issue:12235", + "right": "issue:13351", + "accept": false, + "reason": "Both relate to Wan fun/control features, but one is a support request and the other is a specific model/controlnet combination; not clearly the same issue." + }, + { + "left": "issue:4450", + "right": "issue:7735", + "accept": false, + "reason": "Multi-text inversion not working is unrelated to a missing caption column in a training dataset." + }, + { + "left": "issue:4542", + "right": "issue:7378", + "accept": false, + "reason": "One is a pipeline output-count limitation; the other is a memory-cost complaint about latent decoding. Different symptoms and likely different fixes." + }, + { + "left": "issue:539", + "right": "issue:6761", + "accept": false, + "reason": "Both are API/keyword-argument errors, but they hit different functions with different missing parameters; not the same underlying bug." + }, + { + "left": "issue:7644", + "right": "issue:8667", + "accept": false, + "reason": "Both concern non-power-of-two image handling, but they affect different models/pipelines and the exact failure modes are not shown to be the same." + }, + { + "left": "issue:8817", + "right": "issue:9202", + "accept": false, + "reason": "Both involve IP-Adapter/FaceID, but one is a general FaceID problem and the other is a specific SDXL PAGPipeline incompatibility; too distinct." + }, + { + "left": "issue:10040", + "right": "issue:3481", + "accept": false, + "reason": "Grey-image generation is not the same as DDIM step-count changing image determinism; one is a rendering defect, the other is expected sampling behavior." + }, + { + "left": "issue:1875", + "right": "issue:720", + "accept": false, + "reason": "Both are mixed precision/type mismatch errors, but one is Imagic fp16 training and the other is traced UNet documentation code; different code paths." + }, + { + "left": "issue:11133", + "right": "issue:12108", + "accept": false, + "reason": "CogVideoX image-to-video and Qwen/Chroma flow-matching scheduler issues are separate pipeline/scheduler problems." + }, + { + "left": "issue:4052", + "right": "issue:6280", + "accept": false, + "reason": "Missing from_single_file on different pipeline classes is a shared API gap, but these are separate classes and not the same concrete bug." + }, + { + "left": "issue:12666", + "right": "issue:4356", + "accept": false, + "reason": "A missing Kandinsky 5.0 video pipeline and a missing dummy_torch_and_transformers module are unrelated release/package issues." + }, + { + "left": "issue:5607", + "right": "issue:9112", + "accept": false, + "reason": "Tensor size mismatch here appears in unrelated contexts: one during concatenation with 64 vs 512, the other in Auraflow with 264 vs 4096." + }, + { + "left": "issue:10937", + "right": "issue:6239", + "accept": false, + "reason": "Both touch torch.compile/FX around VAE encode, but one is an error on vae.encode and the other is a request to better support latent_dist.sample(); not the same bug." + }, + { + "left": "issue:2904", + "right": "issue:3497", + "accept": false, + "reason": "AudioLDM scheduler NoneType and StableDiffusionInpaintPipeline from_ckpt are unrelated pipeline API failures." + }, + { + "left": "issue:12195", + "right": "issue:4356", + "accept": false, + "reason": "A PyTorch 2.3.1 custom_op incompatibility is not the same as the missing dummy module import issue." + }, + { + "left": "issue:2234", + "right": "issue:2296", + "accept": false, + "reason": "Both concern xformers attention, but one is training fine-tuning failure and the other is a T4 inference/runtime issue; different manifestations and likely different root causes." + }, + { + "left": "issue:4316", + "right": "issue:8613", + "accept": false, + "reason": "Validation-option failure in dreambooth training is unrelated to an OOM from caption_column configuration." + }, + { + "left": "issue:7263", + "right": "issue:9187", + "accept": false, + "reason": "IP Adapter + attention slicing and IP Adapter + image_encoder_folder=None after Kolors update are different incompatibilities." + }, + { + "left": "issue:7147", + "right": "issue:758", + "accept": false, + "reason": "Missing StableCascadeDecoderPipeline import and urllib3 PROTOCOL_TLS import error are unrelated dependency/API breakages." + }, + { + "left": "issue:1100", + "right": "issue:1249", + "accept": false, + "reason": "Both mention missing .device attributes, but one is CLIPTextTransformer and the other is numpy.ndarray in OnnxPipeline; different objects and code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 44, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10381", + "issue:10428", + "issue:10848", + "issue:10937", + "issue:11033", + "issue:11149", + "issue:11464", + "issue:11651", + "issue:1214", + "issue:13137", + "issue:13446", + "issue:13484", + "issue:1434", + "issue:1614", + "issue:2210", + "issue:2780", + "issue:2856", + "issue:3045", + "issue:3480", + "issue:3582", + "issue:4194", + "issue:4368", + "issue:4453", + "issue:4534", + "issue:4724", + "issue:4835", + "issue:4874", + "issue:4969", + "issue:5006", + "issue:5374", + "issue:5619", + "issue:5846", + "issue:6278", + "issue:6524", + "issue:6584", + "issue:6761", + "issue:6794", + "issue:6879", + "issue:7033", + "issue:7238", + "issue:7660", + "issue:8236", + "issue:8708", + "issue:8887", + "issue:9091", + "issue:9497", + "issue:9660", + "issue:9841" + ], + "soft_pairs": [ + "issue:10848|issue:11149", + "issue:10937|issue:9091", + "issue:6879|issue:9497", + "issue:10381|issue:10428", + "issue:1614|issue:4724", + "issue:11033|issue:1214", + "issue:4368|issue:5006", + "issue:1214|issue:7660", + "issue:13137|issue:13484", + "issue:13446|issue:9660", + "issue:2210|issue:3480", + "issue:2856|issue:6584", + "issue:3045|issue:4453", + "issue:4194|issue:6524", + "issue:4969|issue:6794", + "issue:5374|issue:6761", + "issue:7033|issue:7238", + "issue:8708|issue:8887", + "issue:11464|issue:11651", + "issue:4835|issue:4874", + "issue:2780|issue:5846", + "issue:1434|issue:4874", + "issue:6278|issue:8236", + "issue:4534|issue:9841", + "issue:3582|issue:5619" + ], + "prepared_review_unit_hash": "48e4e876f1f35abe1c79846b547ba4fc0431a330b10fde47c82aa6021dc23336", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34202, + "estimated_input_tokens": 8551, + "estimated_eval_tokens": 17358 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very heterogeneous: most items are unrelated issue reports that only share superficial wording around model loading, LoRA, VAE, or training errors. None of the soft pairs looks like the same underlying bug/change, so I would not merge any of them.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 11464 is the clearest, most concrete representative of the recurring Flux/LoRA loading failures in this set; it is more specific and actionable than the broader or orthogonal errors elsewhere in the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "11464 is a good anchor for the cluster because it is a specific user-facing failure with a clearly stated pipeline/model context, whereas many other items are either different subsystems or much narrower edge cases.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10848", + "right": "issue:11149", + "accept": false, + "reason": "Both are TypeErrors during loading, but they involve different APIs and different missing parameters (`device` vs `dtype`) in separate code paths." + }, + { + "left": "issue:10937", + "right": "issue:9091", + "accept": false, + "reason": "One is a `torch.compile` error on `vae.encode`; the other is a compile-support request for a VAE decoder. Same general area, not the same bug." + }, + { + "left": "issue:6879", + "right": "issue:9497", + "accept": false, + "reason": "Different failures, different models, and different stack points: a dtype mismatch in Custom Diffusion vs a Flux DreamBooth matrix-shape error." + }, + { + "left": "issue:10381", + "right": "issue:10428", + "accept": false, + "reason": "Both mention Flux inference, but the reported environments and failures differ substantially (`quantization & LoRA` vs `ascend npu`)." + }, + { + "left": "issue:1614", + "right": "issue:4724", + "accept": false, + "reason": "These are distinct pipeline problems: black images with autocast vs SDXL img2img behavior with a base checkpoint." + }, + { + "left": "issue:11033", + "right": "issue:1214", + "accept": false, + "reason": "Unet loading from single file is unrelated to a CLIPTextModel half-precision issue." + }, + { + "left": "issue:4368", + "right": "issue:5006", + "accept": false, + "reason": "Both involve OOM during training, but one is generic SDXL LoRA training and the other is a specific BF16 end-of-training issue." + }, + { + "left": "issue:1214", + "right": "issue:7660", + "accept": false, + "reason": "Half-precision CLIPTextModel failure and a trace example not working are unrelated." + }, + { + "left": "issue:13137", + "right": "issue:13484", + "accept": false, + "reason": "Both are Flux 2 LoRA-loading complaints, but the model variants and LoRA formats are different enough that this is not clearly the same bug." + }, + { + "left": "issue:13446", + "right": "issue:9660", + "accept": false, + "reason": "Custom pipeline trust checking and pipeline module eval-mode handling are different concerns." + }, + { + "left": "issue:2210", + "right": "issue:3480", + "accept": false, + "reason": "One requests training the text encoder with LoRA; the other requests a scale parameter for text-encoder LoRA layers. Related topic, not duplicate." + }, + { + "left": "issue:2856", + "right": "issue:6584", + "accept": false, + "reason": "General SD-to-diffusers conversion and a specific DreamShaper inpaint conversion failure are not the same report." + }, + { + "left": "issue:3045", + "right": "issue:4453", + "accept": false, + "reason": "These are opposite conversion directions and different target tools/workflows." + }, + { + "left": "issue:4194", + "right": "issue:6524", + "accept": false, + "reason": "VAE not working in `from_single_file` and reloading LoRA a second time are separate bugs." + }, + { + "left": "issue:4969", + "right": "issue:6794", + "accept": false, + "reason": "Importing `CrossAttention` and importing `cast_training_params` are unrelated import errors." + }, + { + "left": "issue:5374", + "right": "issue:6761", + "accept": false, + "reason": "Unexpected `checkpoint_path` and unexpected `preprocess` keyword are different API mismatches." + }, + { + "left": "issue:7033", + "right": "issue:7238", + "accept": false, + "reason": "Attention-masking warning logs vs masking behavior are not the same concrete issue." + }, + { + "left": "issue:8708", + "right": "issue:8887", + "accept": false, + "reason": "Both touch SD3 training/VAE handling, but one is a missing config field and the other is a wrong encode path." + }, + { + "left": "issue:11464", + "right": "issue:11651", + "accept": false, + "reason": "Both are FluxControl LoRA-loading failures, but they reference different LoRA variants and no evidence shows the same code-path bug." + }, + { + "left": "issue:4835", + "right": "issue:4874", + "accept": false, + "reason": "MultiControlNet img2img behavior and local low_res_scheduler loading are unrelated." + }, + { + "left": "issue:2780", + "right": "issue:5846", + "accept": false, + "reason": "Different training scripts and different failure modes: FP16 gradient unscale vs resume-from-checkpoint error." + }, + { + "left": "issue:1434", + "right": "issue:4874", + "accept": false, + "reason": "OOM on upscale and a local low_res_scheduler bug are not the same problem." + }, + { + "left": "issue:6278", + "right": "issue:8236", + "accept": false, + "reason": "Both mention multi-GPU examples, but one is an LCM distillation run failure and the other is an LR scheduler step-count bug." + }, + { + "left": "issue:4534", + "right": "issue:9841", + "accept": false, + "reason": "MPS validation crash in SDXL DreamBooth and a `use_dora=False` TypeError in SDXL DreamBooth LoRA training are different bugs." + }, + { + "left": "issue:3582", + "right": "issue:5619", + "accept": false, + "reason": "ControlNet inpaint `strength=1` and AutoencodeTiny img2img encoding are separate pipeline issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 45, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10055", + "issue:10266", + "issue:10421", + "issue:10738", + "issue:10823", + "issue:10952", + "issue:11209", + "issue:11224", + "issue:11247", + "issue:11285", + "issue:11702", + "issue:1214", + "issue:13162", + "issue:13484", + "issue:1742", + "issue:1931", + "issue:1979", + "issue:234", + "issue:2856", + "issue:3382", + "issue:3481", + "issue:3619", + "issue:3774", + "issue:3910", + "issue:4073", + "issue:4086", + "issue:4340", + "issue:4468", + "issue:4476", + "issue:4736", + "issue:5259", + "issue:6130", + "issue:6176", + "issue:6226", + "issue:6536", + "issue:6761", + "issue:7056", + "issue:7178", + "issue:7310", + "issue:7483", + "issue:7708", + "issue:771", + "issue:8514", + "issue:9179", + "issue:9180", + "issue:9911", + "issue:9962" + ], + "soft_pairs": [ + "issue:3619|issue:771", + "issue:1979|issue:2856", + "issue:10055|issue:7310", + "issue:4340|issue:6176", + "issue:11285|issue:6226", + "issue:4073|issue:9180", + "issue:13162|issue:13484", + "issue:5259|issue:7708", + "issue:1214|issue:7178", + "issue:10421|issue:4468", + "issue:10952|issue:3910", + "issue:1742|issue:3481", + "issue:4086|issue:7483", + "issue:4476|issue:9179", + "issue:7056|issue:8514", + "issue:3382|issue:3774", + "issue:10823|issue:6536", + "issue:6761|issue:9962", + "issue:11209|issue:11702", + "issue:11209|issue:6130", + "issue:11224|issue:11702", + "issue:11224|issue:6130", + "issue:10266|issue:10738", + "issue:3382|issue:4736", + "issue:1931|issue:234", + "issue:11247|issue:9911" + ], + "prepared_review_unit_hash": "367e261684105b00f645bfa6923954135066cc7c77a13b16b66edf02e8203b73", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + 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No PRs are present.", + "confidence": 0.77, + "canonical_issue_reason": "issue:6130 is the best canonical target: it is the earliest and most-discussed generic \"Error while loading Lora\" report, and it matches the later exact-title reports more closely than the more specific LoRA failures.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6130 is the strongest overall representative of the repeated LoRA-loading problem in this set; it is broad enough to anchor the duplicate reports and has the most discussion among the exact-match candidates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3619", + "right": "issue:771", + "accept": false, + "reason": "Different subsystems and failure modes: Text2Video-Zero attention vs DreamBooth bf16 precision." + }, + { + "left": "issue:1979", + "right": "issue:2856", + "accept": true, + "reason": "Same underlying conversion problem: both are about converting Stable Diffusion models to diffusers and failing during that path." + }, + { + "left": "issue:10055", + "right": "issue:7310", + "accept": false, + "reason": "Both are training-script problems, but for different models/scripts and different concrete failures." + }, + { + "left": "issue:4340", + "right": "issue:6176", + "accept": false, + "reason": "LoRA-related, but one is SDXL text-encoder training and the other is loading LoRA weights after dreambooth training; not the same bug." + }, + { + "left": "issue:11285", + "right": "issue:6226", + "accept": true, + "reason": "Both point to conversion-script compatibility issues that break downstream loading; likely the same stable-diffusion<->diffusers conversion bug." + }, + { + "left": "issue:4073", + "right": "issue:9180", + "accept": false, + "reason": "Unrelated runtime errors in different code paths: safety checker astype vs missing _execution_device." + }, + { + "left": "issue:13162", + "right": "issue:13484", + "accept": false, + "reason": "Both mention Flux LoRA support/loading, but they are different model variants and not clearly the same concrete defect." + }, + { + "left": "issue:5259", + "right": "issue:7708", + "accept": false, + "reason": "Both are missing-file errors, but for different expected files and different model assets." + }, + { + "left": "issue:1214", + "right": "issue:7178", + "accept": false, + "reason": "Completely different areas: half-precision CLIP text model vs video export behavior." + }, + { + "left": "issue:10421", + "right": "issue:4468", + "accept": false, + "reason": "Both involve multi-GPU behavior, but one is a CPU memory leak and the other is a performance difference; not the same bug." + }, + { + "left": "issue:10952", + "right": "issue:3910", + "accept": false, + "reason": "Both are LoRA loading failures, but one is a specific adapter-name mismatch and the other is a generic statement about certain LoRAs not loading." + }, + { + "left": "issue:1742", + "right": "issue:3481", + "accept": false, + "reason": "Different concerns: prompt-list inference speed vs image output differences across inference steps." + }, + { + "left": "issue:4086", + "right": "issue:7483", + "accept": false, + "reason": "Different operations and models: SDXL ControlNet training vs LoRA-to-diffusers conversion for SDXL." + }, + { + "left": "issue:4476", + "right": "issue:9179", + "accept": true, + "reason": "Both describe SDXL+ControlNet training producing poor/unexpected results on the same general setup, likely the same underlying training issue." + }, + { + "left": "issue:7056", + "right": "issue:8514", + "accept": false, + "reason": "Different errors in different fine-tuning scenarios; no clear shared code-path." + }, + { + "left": "issue:3382", + "right": "issue:3774", + "accept": false, + "reason": "Both are distributed-training memory complaints, but one is multi-GPU OOM and the other is zero3 not saving memory; not the same concrete issue." + }, + { + "left": "issue:10823", + "right": "issue:6536", + "accept": false, + "reason": "Different symptoms and workflows: missing inference files vs UNet3DConditionModel OOM during fine-tuning." + }, + { + "left": "issue:6761", + "right": "issue:9962", + "accept": false, + "reason": "Both are unexpected keyword-argument errors, but against different APIs and unrelated call sites." + }, + { + "left": "issue:11209", + "right": "issue:11702", + "accept": false, + "reason": "Both are LoRA loading errors, but 11702 is a specific AccVid key error and 11209 is a generic loading failure." + }, + { + "left": "issue:11209", + "right": "issue:6130", + "accept": true, + "reason": "Same generic LoRA-loading failure; the titles are effectively the same and 6130 is the clearest duplicate target." + }, + { + "left": "issue:11224", + "right": "issue:11702", + "accept": false, + "reason": "Generic LoRA load error vs specific AccVid LoRA key error; not clearly the same bug." + }, + { + "left": "issue:11224", + "right": "issue:6130", + "accept": true, + "reason": "Same generic LoRA-loading failure; 11224 reads like a later duplicate of the 6130 report." + }, + { + "left": "issue:10266", + "right": "issue:10738", + "accept": false, + "reason": "Both mention index out-of-bounds, but one is UniPC+FlowMatch and the other is a scheduler sigma issue; too little evidence they are the same defect." + }, + { + "left": "issue:3382", + "right": "issue:4736", + "accept": false, + "reason": "Both are training-related OOM-style reports, but one is multi-GPU memory use and the other includes invalid-value casting in a different script." + }, + { + "left": "issue:1931", + "right": "issue:234", + "accept": false, + "reason": "Related half-precision issues, but one is SD2 half/float mismatch and the other is a pipeline half-precision general failure." + }, + { + "left": "issue:11247", + "right": "issue:9911", + "accept": false, + "reason": "Both involve Flux/controlnet multi-GPU behavior, but one is a distribution attribute issue and the other is a multi-controlnet layer-length error." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays mostly conservative. The chosen canonical issue, issue:6130, is well supported by the repeated generic LoRA-loading reports, and the accepted soft pairs are plausible matches rather than overclaims. No PRs are present, and the cluster summary appropriately notes a mixed set with a few likely duplicate-like groups." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 46, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10040", + "issue:10169", + "issue:10436", + "issue:1070", + "issue:10860", + "issue:11160", + "issue:11396", + "issue:12108", + "issue:12141", + "issue:12359", + "issue:1251", + "issue:12771", + "issue:12896", + "issue:13300", + "issue:1565", + "issue:1988", + "issue:2495", + "issue:2578", + "issue:2991", + "issue:3191", + "issue:3235", + "issue:3812", + "issue:4478", + "issue:4551", + "issue:4619", + "issue:4768", + "issue:4885", + "issue:4911", + "issue:4936", + "issue:5226", + "issue:579", + "issue:5884", + "issue:5886", + "issue:6082", + "issue:7057", + "issue:7228", + "issue:7666", + "issue:7854", + "issue:7974", + "issue:817", + "issue:8668", + "issue:8833", + "issue:8922", + "issue:9343", + "issue:9476", + "issue:9500", + "issue:9548", + "issue:9970" + ], + "soft_pairs": [ + "issue:11160|issue:12896", + "issue:4911|issue:7228", + "issue:1988|issue:4619", + "issue:2578|issue:5226", + "issue:10169|issue:3812", + "issue:4768|issue:5884", + "issue:4478|issue:9476", + "issue:12141|issue:7057", + "issue:7057|issue:7666", + "issue:13300|issue:8668", + "issue:9500|issue:9970", + "issue:2991|issue:817", + "issue:12771|issue:9343", + "issue:3235|issue:4885", + "issue:6082|issue:7854", + "issue:12108|issue:12359", + "issue:10040|issue:8922", + "issue:3191|issue:4936", + "issue:1565|issue:4551", + "issue:9500|issue:9548", + "issue:579|issue:8833", + "issue:10436|issue:1070", + "issue:1251|issue:2495", + "issue:10860|issue:11396", + "issue:5886|issue:7974" + ], + "prepared_review_unit_hash": "16246af649ec749cd3f91429ff8ae469df78658be913815ac49d76acaaf0e9ba", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34484, + "estimated_input_tokens": 8621, + "estimated_eval_tokens": 17498 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly separate bug reports that only overlap at a high level (black/grey images, dtype mismatches, config/load failures, training issues). I do not see any strong duplicate pairs among the soft edges, so the cluster should not be collapsed aggressively.", + "confidence": 0.82, + "canonical_issue_reason": "issue:9500 is the most detailed and discussion-heavy report here, and it best serves as a representative anchor for the repeated DreamBooth/Flux training-failure theme among the training-related issues.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9500 has the richest repro/context and the highest activity, so it is the most useful single issue to keep as the representative bug report in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11160", + "right": "issue:12896", + "accept": false, + "reason": "Both mention WAN 2.1/2.2 I2V, but one is about inconsistent inference results and the other is a CUDA-vs-MPS failure; different bug modes and likely different causes." + }, + { + "left": "issue:4911", + "right": "issue:7228", + "accept": false, + "reason": "Both are load-time errors, but one is about custom text_encoder loading from_single_file and the other is a traced-model dtype attribute error; not the same failure." + }, + { + "left": "issue:1988", + "right": "issue:4619", + "accept": false, + "reason": "Both are mixed-precision type-mismatch errors, but they affect different training scripts and model variants; too broad to treat as one concrete bug." + }, + { + "left": "issue:2578", + "right": "issue:5226", + "accept": false, + "reason": "Editable install problems and LoRA-loading failure in SDXL adapter pipeline are unrelated issues." + }, + { + "left": "issue:10169", + "right": "issue:3812", + "accept": false, + "reason": "Missing config.json and missing {'controlnet'} config entry are different configuration-loading problems." + }, + { + "left": "issue:4768", + "right": "issue:5884", + "accept": false, + "reason": "One is a checkpoint-saving feature request for multiple T2I adapters, the other is adding IP-Adapter support across pipelines; not the same change." + }, + { + "left": "issue:4478", + "right": "issue:9476", + "accept": false, + "reason": "Both involve dtype/loading problems, but SDXL inference bias-type mismatch and FLUX loading with ignore_mismatched_sizes are distinct failures." + }, + { + "left": "issue:12141", + "right": "issue:7057", + "accept": false, + "reason": "WanVACEPipeline VAE dtype incompatibility and a generic checkpoint loading failure are not the same bug." + }, + { + "left": "issue:7057", + "right": "issue:7666", + "accept": false, + "reason": "A checkpoint load failure and a custom pipeline from_single_file failure are separate issues with different code paths." + }, + { + "left": "issue:13300", + "right": "issue:8668", + "accept": false, + "reason": "CPU generation failures on SD3.5/FLUX and an image-size alignment bug in SD3 img2img are unrelated." + }, + { + "left": "issue:9500", + "right": "issue:9970", + "accept": false, + "reason": "Both are DreamBooth training reports, but one is about checkpoint saving in FLUX and the other is an SDXL LoRA training failure; different code paths." + }, + { + "left": "issue:2991", + "right": "issue:817", + "accept": false, + "reason": "Both are mixed-precision example bugs, but they affect different examples and likely different call sites." + }, + { + "left": "issue:12771", + "right": "issue:9343", + "accept": false, + "reason": "A scheduler out-of-bounds error and a FLUX loading/mismatched-sizes error are unrelated." + }, + { + "left": "issue:3235", + "right": "issue:4885", + "accept": false, + "reason": "Custom Diffusion weights with biases failing to load and SDXL ControlNet Img2Img LoRA loading are different loading features." + }, + { + "left": "issue:6082", + "right": "issue:7854", + "accept": false, + "reason": "Both are Half/Float runtime mismatches, but the titles indicate different contexts and not a clearly shared concrete bug." + }, + { + "left": "issue:12108", + "right": "issue:12359", + "accept": false, + "reason": "A scheduler/flow-matching pipeline break and a documentation bug about guidance_scale are not duplicates." + }, + { + "left": "issue:10040", + "right": "issue:8922", + "accept": false, + "reason": "Grey-image generation in Stable Diffusion 3 and black-image output from a quantized SD3 single-file setup are similar symptoms but not the same underlying issue." + }, + { + "left": "issue:3191", + "right": "issue:4936", + "accept": false, + "reason": "Dreambooth+LoRA broken and Dreambooth LoRA resume broken since 0.19.0 are different bugs in the same area." + }, + { + "left": "issue:1565", + "right": "issue:4551", + "accept": false, + "reason": "GPU selection/OOM behavior and a DreamBooth crash on SDXL are unrelated." + }, + { + "left": "issue:9500", + "right": "issue:9548", + "accept": false, + "reason": "These are both Flux DreamBooth reports, but one is checkpoint saving and the other is a broader follow-up issue; not enough to merge as the same bug." + }, + { + "left": "issue:579", + "right": "issue:8833", + "accept": false, + "reason": "Textual Inversion config.json missing and SD3 medium model missing config.json are different model-loading cases." + }, + { + "left": "issue:10436", + "right": "issue:1070", + "accept": false, + "reason": "An inpainting model failing to load and a Stable Diffusion inpainting bug are too different in scope and symptom." + }, + { + "left": "issue:1251", + "right": "issue:2495", + "accept": false, + "reason": "Both produce black images on MPS, but they are different pipelines (RePaint vs Upscale) and there is no evidence of the same code-path." + }, + { + "left": "issue:10860", + "right": "issue:11396", + "accept": false, + "reason": "Both mention LoRA compatibility with ComfyUI, but they concern different model families and different conversion/loading questions." + }, + { + "left": "issue:5886", + "right": "issue:7974", + "accept": false, + "reason": "IP-Adapter face-model support and inpaint-with-IP-Adapter behavior are separate feature/bug reports." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 47, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10180", + "issue:10223", + "issue:10436", + "issue:11062", + "issue:11214", + "issue:11362", + "issue:11374", + "issue:11422", + "issue:11702", + "issue:11777", + "issue:11989", + "issue:12126", + "issue:12329", + "issue:1444", + "issue:1552", + "issue:1708", + "issue:1944", + "issue:2296", + "issue:2947", + "issue:3152", + "issue:3619", + "issue:4213", + "issue:4450", + "issue:5246", + "issue:5465", + "issue:5607", + "issue:5661", + "issue:6159", + "issue:6226", + "issue:646", + "issue:6574", + "issue:6584", + "issue:6594", + "issue:668", + "issue:6758", + "issue:696", + "issue:6964", + "issue:7057", + "issue:7168", + "issue:7293", + "issue:7432", + "issue:7660", + "issue:7708", + "issue:817", + "issue:861", + "issue:8939", + "issue:9180", + "issue:9643" + ], + "soft_pairs": [ + "issue:5607|issue:6574", + "issue:668|issue:696", + "issue:4213|issue:6964", + "issue:4213|issue:7660", + "issue:10436|issue:6226", + "issue:10180|issue:8939", + "issue:12126|issue:12329", + "issue:7168|issue:7432", + "issue:1708|issue:1944", + "issue:11422|issue:11777", + "issue:6584|issue:861", + "issue:11214|issue:11362", + "issue:11374|issue:7293", + "issue:11062|issue:11702", + "issue:5465|issue:9643", + "issue:2947|issue:9180", + "issue:5246|issue:646", + "issue:1552|issue:7057", + "issue:4450|issue:817", + "issue:5661|issue:7708", + "issue:10223|issue:11989", + "issue:6159|issue:6758", + "issue:1552|issue:3619", + "issue:2296|issue:6594", + "issue:1444|issue:3152" + ], + "prepared_review_unit_hash": "70d23bc9f223654ea9fb32ed0897a20237bf54b30a635dc9102994638c8d5ff4", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34969, + "estimated_input_tokens": 8743, + "estimated_eval_tokens": 17742 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly a loose mix of unrelated model-loading, LoRA, pipeline-argument, and training questions/bugs. None of the soft pairs look like true duplicates of the same underlying defect, so I would not merge any of them.", + "confidence": 0.88, + "canonical_issue_reason": "issue:10180 is the clearest concrete bug report in the set: a reproducible Flux Control LoRA loading failure with real discussion and references, making it the strongest single issue to anchor triage.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10180 is the best representative issue for the dominant theme here (LoRA/model-loading failures), but the overall set is too heterogeneous to imply one duplicate family.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5607", + "right": "issue:6574", + "accept": false, + "reason": "One is a tensor shape mismatch runtime error; the other is a warning about SVD pipeline input range. Different failure modes." + }, + { + "left": "issue:668", + "right": "issue:696", + "accept": false, + "reason": "Both mention DreamBooth training, but one is a T4 runtime failure and the other is plain CUDA OOM. Not the same bug." + }, + { + "left": "issue:4213", + "right": "issue:6964", + "accept": false, + "reason": "from_single_file/accelerate loading issue vs 4-channel UNet incompatibility. Different code paths and root causes." + }, + { + "left": "issue:4213", + "right": "issue:7660", + "accept": false, + "reason": "Both are example/loading complaints, but one is about from_single_file() and the other about a trace example. Too generic to be duplicates." + }, + { + "left": "issue:10436", + "right": "issue:6226", + "accept": false, + "reason": "One is a model-specific loading failure; the other is a conversion script causing webui loading errors. Related area, but not the same defect." + }, + { + "left": "issue:10180", + "right": "issue:8939", + "accept": false, + "reason": "Flux Control LoRA multi-load bug vs SD3 tokenizer load error. Different models and different failure layers." + }, + { + "left": "issue:12126", + "right": "issue:12329", + "accept": false, + "reason": "Wan2.2 cache_context inference error vs pipeline misclassifying a single-file transformer as Wan2.1. Related subsystem, distinct bugs." + }, + { + "left": "issue:7168", + "right": "issue:7432", + "accept": false, + "reason": "IP-Adapter embedding tensor-shape problem vs general output quality mismatch with WebUI. Not the same issue." + }, + { + "left": "issue:1708", + "right": "issue:1944", + "accept": false, + "reason": "One asks how to pass a YAML config; the other reports random dreambooth results. Question vs training quality bug." + }, + { + "left": "issue:11422", + "right": "issue:11777", + "accept": false, + "reason": "A concrete HiDream LoRA validation-prompt crash vs a general question about training HiDream-I1 LoRAs. Not duplicates." + }, + { + "left": "issue:6584", + "right": "issue:861", + "accept": false, + "reason": "Specific DreamShaper inpaint conversion failure vs generic ckpt-to-diffusers conversion complaint. Same broad area, different bug." + }, + { + "left": "issue:11214", + "right": "issue:11362", + "accept": false, + "reason": "Similar 'unexpected keyword argument' pattern, but different model classes and arguments; not clearly the same code path." + }, + { + "left": "issue:11374", + "right": "issue:7293", + "accept": false, + "reason": "SkyReels-V2 integration request and AudioLDM2 integration request are unrelated feature requests." + }, + { + "left": "issue:11062", + "right": "issue:11702", + "accept": false, + "reason": "Both are LoRA loading problems, but they involve different models and different errors (CivitAI load error vs key error)." + }, + { + "left": "issue:5465", + "right": "issue:9643", + "accept": false, + "reason": "DiffEdit inpaint_strength support vs Flux multiple ControlNets. Different pipelines and unrelated bugs." + }, + { + "left": "issue:2947", + "right": "issue:9180", + "accept": false, + "reason": "Missing load_attn_procs attribute vs missing _execution_device attribute. Both attribute errors, but on different objects and code paths." + }, + { + "left": "issue:5246", + "right": "issue:646", + "accept": false, + "reason": "CLIPImageProjection import issue vs PNDMScheduler set_format issue. Completely different components." + }, + { + "left": "issue:1552", + "right": "issue:7057", + "accept": false, + "reason": "Attention slicing regression vs an unspecified model checkpoint failure. No clear shared defect." + }, + { + "left": "issue:4450", + "right": "issue:817", + "accept": false, + "reason": "Multi-textual-inversion support bug vs mixed-precision DreamBooth issue. Same training umbrella only, not same bug." + }, + { + "left": "issue:5661", + "right": "issue:7708", + "accept": false, + "reason": "Tokenizer symbol missing vs tokenizer/config.json missing. Both tokenizer-related, but one is an import issue and the other is a model repo layout issue." + }, + { + "left": "issue:10223", + "right": "issue:11989", + "accept": false, + "reason": "A question about where to obtain a LoRA ID vs a black-image inference bug. Not duplicates." + }, + { + "left": "issue:6159", + "right": "issue:6758", + "accept": false, + "reason": "Both are unsupported pipeline kwargs, but for different arguments and different pipelines. Too broad to merge." + }, + { + "left": "issue:1552", + "right": "issue:3619", + "accept": false, + "reason": "Attention slicing on Stable Diffusion 2 vs CrossFrameAttention in Text2Video-Zero. Different features and failures." + }, + { + "left": "issue:2296", + "right": "issue:6594", + "accept": false, + "reason": "xformers behavior on T4 vs a network error fetching a YAML config. Entirely unrelated." + }, + { + "left": "issue:1444", + "right": "issue:3152", + "accept": false, + "reason": "StableDiffusionSafetyChecker import error vs TensorFlow Lite analyzer wrapper import error. Different ecosystems and bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 48, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10169", + "issue:11045", + "issue:11702", + "issue:13035", + "issue:1552", + "issue:1572", + "issue:1709", + "issue:1909", + "issue:1974", + "issue:2089", + "issue:2161", + "issue:2185", + "issue:2941", + "issue:3451", + "issue:3487", + "issue:3651", + "issue:3761", + "issue:3774", + "issue:3803", + "issue:3811", + "issue:4213", + "issue:4265", + "issue:4925", + "issue:5014", + "issue:5197", + "issue:5226", + "issue:5259", + "issue:5605", + "issue:5619", + "issue:5860", + "issue:5923", + "issue:5992", + "issue:6130", + "issue:6158", + "issue:6218", + "issue:6224", + "issue:6284", + "issue:6427", + "issue:6967", + "issue:7133", + "issue:746", + "issue:761", + "issue:8236", + "issue:9500", + "issue:9525", + "issue:9790", + "issue:9841" + ], + "soft_pairs": [ + "issue:3761|issue:746", + "issue:2185|issue:5197", + "issue:5014|issue:6284", + "issue:5619|issue:5860", + "issue:3651|issue:8236", + "issue:5226|issue:6218", + "issue:761|issue:9841", + "issue:9500|issue:9790", + "issue:5923|issue:6224", + "issue:1552|issue:1572", + "issue:3451|issue:3774", + "issue:4213|issue:6427", + "issue:10169|issue:5259", + "issue:2089|issue:4925", + "issue:11045|issue:9525", + "issue:2161|issue:3803", + "issue:1709|issue:5992", + "issue:2941|issue:3487", + "issue:3811|issue:9525", + "issue:11702|issue:6130", + "issue:13035|issue:4265", + "issue:1909|issue:1974", + "issue:5605|issue:6158", + "issue:6967|issue:7133" + ], + "prepared_review_unit_hash": "82752a503da4f0484f877432c820aecbc9ee4d7d9c6ba873d1288c470a2c2afe", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33490, + "estimated_input_tokens": 8373, + "estimated_eval_tokens": 17002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a broad false-positive grouping: the items span unrelated loading, training, and pipeline bugs rather than one underlying defect. None of the soft-edge pairs look like true duplicates or mergeable PR-equivalents.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 6130 is the most general and representative user-facing problem in the set ('Error while loading Lora'), but the cluster is too heterogeneous to have a true single canonical duplicate target.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6130 is the best representative issue only in the sense that it is a broad, concrete loading problem with substantial discussion; it is not a strong canonical for the whole cluster because the rest of the items are mostly different bugs.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3761", + "right": "issue:746", + "accept": false, + "reason": "Different failures: community pipeline process-loading vs ONNX revision import in img2img." + }, + { + "left": "issue:2185", + "right": "issue:5197", + "accept": false, + "reason": "Training config-file omission is unrelated to multi-GPU slowdown/performance behavior." + }, + { + "left": "issue:5014", + "right": "issue:6284", + "accept": false, + "reason": "Dreambooth LoRA output quality issue is distinct from SDXL LoRA validation/test result mismatch." + }, + { + "left": "issue:5619", + "right": "issue:5860", + "accept": false, + "reason": "AutoencodeTiny img2img encode bug is a different code path from Tiny Autoencoder + ControlNet pipeline failure." + }, + { + "left": "issue:3651", + "right": "issue:8236", + "accept": false, + "reason": "Multi-GPU DreamBooth execution failure is not the same as incorrect LR scheduler step counting." + }, + { + "left": "issue:5226", + "right": "issue:6218", + "accept": false, + "reason": "Both involve batching/LoRA-like generation behavior, but one is AdapterPipeline load_lora_weights and the other is batched seeds in ControlNet/img2img; different bugs." + }, + { + "left": "issue:761", + "right": "issue:9841", + "accept": false, + "reason": "Old DreamBooth 8-bit Adam training failure is unrelated to SDXL DreamBooth LoRA TypeError with use_dora=False." + }, + { + "left": "issue:9500", + "right": "issue:9790", + "accept": false, + "reason": "Checkpoint save failure during Flux Dreambooth training is distinct from multi-GPU training problems." + }, + { + "left": "issue:5923", + "right": "issue:6224", + "accept": false, + "reason": "Both concern training instability, but one is stuck execution in multi-GPU fine-tuning and the other is a TorchDynamo error in text-to-image training." + }, + { + "left": "issue:1552", + "right": "issue:1572", + "accept": false, + "reason": "Attention slicing on SD2 and stable_diffusion_mega img2img/inpainting are separate pipeline issues." + }, + { + "left": "issue:3451", + "right": "issue:3774", + "accept": false, + "reason": "fp16 memory regression in a training script is not the same as zero3 not saving memory in another script." + }, + { + "left": "issue:4213", + "right": "issue:6427", + "accept": false, + "reason": "SDXL from_single_file accelerate dependency issue is unrelated to broken diffusers-to-ckpt conversion." + }, + { + "left": "issue:10169", + "right": "issue:5259", + "accept": false, + "reason": "Both are missing-file load errors, but config.json missing and model_index.json missing are different concrete problems." + }, + { + "left": "issue:2089", + "right": "issue:4925", + "accept": false, + "reason": "AltDiffusion DreamBooth OOM and SDXL ControlNet distributed OOM are different models/training setups, not the same bug." + }, + { + "left": "issue:11045", + "right": "issue:9525", + "accept": false, + "reason": "Flux Schnell loading crash during Dreambooth LoRA training is distinct from lora_scale having no effect in Flux loading." + }, + { + "left": "issue:2161", + "right": "issue:3803", + "accept": false, + "reason": "LoRA training on an inpainting model and multi-GPU LoRA model sharing are different training issues." + }, + { + "left": "issue:1709", + "right": "issue:5992", + "accept": false, + "reason": "ONNX img2img Tensor.astype AttributeError is unrelated to llm_guided_diffusion bool/__module__ error." + }, + { + "left": "issue:2941", + "right": "issue:3487", + "accept": false, + "reason": "EulerAncestralDiscreteScheduler result quality in standard SD vs inpaint-with-strength poor results are related scheduler names but different code paths and symptoms." + }, + { + "left": "issue:3811", + "right": "issue:9525", + "accept": false, + "reason": "Both involve LoRA loading in Flux-like contexts, but 'no effect on generation' and 'lora_scale has no effect' are not clearly the same defect." + }, + { + "left": "issue:11702", + "right": "issue:6130", + "accept": false, + "reason": "AccVid LoRA key error when loading with diffusers is a different loading failure than the generic 'Error while loading Lora' report." + }, + { + "left": "issue:13035", + "right": "issue:4265", + "accept": false, + "reason": "Missing MT5Tokenizer import from transformers is unrelated to missing StableDiffusionXLControlNetPipeline import from diffusers." + }, + { + "left": "issue:1909", + "right": "issue:1974", + "accept": false, + "reason": "Generic scheduler-generator API mismatch and Euler-specific reproducibility failure are related only by generators, not the same bug." + }, + { + "left": "issue:5605", + "right": "issue:6158", + "accept": false, + "reason": "Per-image caption support request for SDXL dreambooth is a feature request, not the same as adding SDXL support to animatediff." + }, + { + "left": "issue:6967", + "right": "issue:7133", + "accept": false, + "reason": "Both are SDXL Dreambooth LoRA training problems, but one is prior-preservation shape mismatch and the other is checkpoint resume size mismatch; different failure points." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 49, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10382", + "issue:10472", + "issue:10512", + "issue:10653", + "issue:11169", + "issue:11410", + "issue:11464", + "issue:11907", + "issue:11922", + "issue:12436", + "issue:12728", + "issue:13035", + "issue:13286", + "issue:1377", + "issue:1439", + "issue:1538", + "issue:1717", + "issue:1985", + "issue:2324", + "issue:2371", + "issue:2480", + "issue:3152", + "issue:3223", + "issue:3296", + "issue:3357", + "issue:4139", + "issue:4256", + "issue:4534", + "issue:4885", + "issue:490", + "issue:499", + "issue:5178", + "issue:5226", + "issue:5633", + "issue:6069", + "issue:6218", + "issue:6295", + "issue:6382", + "issue:646", + "issue:6536", + "issue:6964", + "issue:7082", + "issue:7178", + "issue:7286", + "issue:7882", + "issue:852", + "issue:9200", + "issue:9556" + ], + "soft_pairs": [ + "issue:11169|issue:9200", + "issue:499|issue:5226", + "issue:11410|issue:5633", + "issue:2324|issue:2480", + "issue:1717|issue:3296", + "issue:5226|issue:6964", + "issue:6069|issue:6295", + "issue:1439|issue:646", + "issue:4256|issue:4534", + "issue:2324|issue:2371", + "issue:5178|issue:6069", + "issue:6382|issue:9556", + "issue:499|issue:7178", + "issue:10472|issue:6536", + "issue:1985|issue:7882", + "issue:10382|issue:5633", + "issue:1538|issue:3223", + "issue:12436|issue:852", + "issue:11907|issue:6218", + "issue:12728|issue:3357", + "issue:10512|issue:4885", + "issue:11464|issue:11922", + "issue:490|issue:6536", + "issue:10653|issue:13286", + "issue:13035|issue:7082", + "issue:1377|issue:3152", + "issue:4139|issue:7286" + ], + "prepared_review_unit_hash": "333f4665592bed45b7c019df73c043c69b5e533e7fc642bfdfcbf0550fbc9c33", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 35688, + "estimated_input_tokens": 8922, + "estimated_eval_tokens": 18100 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very heterogeneous: it mixes LoRA-loading bugs, scheduler/runtime errors, import failures, training-script issues, and torch.compile problems. I found no soft pair that looks like the same underlying bug/change, so all soft edges are rejected.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 10512 is the best anchor only in a loose sense: it is a concrete, user-facing Flux/LoRA loading failure and has the most discussion among the similar-looking subset. It is still not a true duplicate of the rest of the cluster, which spans many unrelated subsystems.", + "canonical_pr_reason": null, + "best_issue_reason": "10512 is the most central representative of the nearest theme in this noisy cluster, but it is not a good global canonical for all items because the cluster is too broad and mixed.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11169", + "right": "issue:9200", + "accept": false, + "reason": "Different failure classes: numpy ABI/binary incompatibility during import vs a dtype error in StableDiffusionXLControlNetPipeline." + }, + { + "left": "issue:499", + "right": "issue:5226", + "accept": false, + "reason": "Both are pipeline-related, but one is an example unconditional training script failure and the other is LoRA loading for SDXL Adapter; different code paths." + }, + { + "left": "issue:11410", + "right": "issue:5633", + "accept": false, + "reason": "Attention unpacking ValueError in a processor call is unrelated to a bug in transformer_temporal.py." + }, + { + "left": "issue:2324", + "right": "issue:2480", + "accept": false, + "reason": "Both concern Dreambooth training, but one is about instance data reading and the other about checkpoint directory structure; not the same bug." + }, + { + "left": "issue:1717", + "right": "issue:3296", + "accept": false, + "reason": "Offline model-cache loading and Dreambooth checkpoint saving/loading are different mechanisms and failure modes." + }, + { + "left": "issue:5226", + "right": "issue:6964", + "accept": false, + "reason": "Both are load-related pipeline issues, but one is about LoRA weights on an SDXL adapter pipeline and the other is 4-channel UNet support in ControlNet inpaint." + }, + { + "left": "issue:6069", + "right": "issue:6295", + "accept": false, + "reason": "Different scheduler bugs: add_noise at t=0 vs artifacts with DPM++ 2M SDE Karras/use_lu_lambdas." + }, + { + "left": "issue:1439", + "right": "issue:646", + "accept": false, + "reason": "Different import/API regressions: FeatureExtractionMixin missing vs PNDMScheduler lacking set_format." + }, + { + "left": "issue:4256", + "right": "issue:4534", + "accept": false, + "reason": "Both are Dreambooth-related, but one is a generic training error and the other is an MPS validation crash." + }, + { + "left": "issue:2324", + "right": "issue:2371", + "accept": false, + "reason": "Same training area, but one is about reading instance data and the other is about generated objects not appearing in output; not a duplicate." + }, + { + "left": "issue:5178", + "right": "issue:6069", + "accept": false, + "reason": "Different scheduler issues: resolution changes after first run vs add_noise failing at t=0." + }, + { + "left": "issue:6382", + "right": "issue:9556", + "accept": false, + "reason": "Both mention LoRA-related workflows, but one is an IP-adapter key error during SDXL training/use and the other is problems with saved LoRA models under rslora." + }, + { + "left": "issue:499", + "right": "issue:7178", + "accept": false, + "reason": "Training script failure vs export_to_video behavior; unrelated code paths." + }, + { + "left": "issue:10472", + "right": "issue:6536", + "accept": false, + "reason": "Different issues entirely: unexpected lora_bias argument in inference vs out-of-memory during UNet3DConditionModel fine-tuning." + }, + { + "left": "issue:1985", + "right": "issue:7882", + "accept": false, + "reason": "Both relate to adding/loading capabilities, but embeddings on Stable Diffusion vs missing from_single_file on a T2I adapter pipeline are not the same bug." + }, + { + "left": "issue:10382", + "right": "issue:5633", + "accept": false, + "reason": "VAE forward return-type mismatch causing AttributeError is unrelated to a bug in transformer_temporal.py." + }, + { + "left": "issue:1538", + "right": "issue:3223", + "accept": false, + "reason": "Different runtime problems: StableDiffusionMegaPipeline model compatibility vs memory not clearing after moving pipeline to cuda." + }, + { + "left": "issue:12436", + "right": "issue:852", + "accept": false, + "reason": "Both are constructor keyword regressions, but offload_state_dict in CLIPTextModel is different from device_map on MPS in diffusers 0.5.1." + }, + { + "left": "issue:11907", + "right": "issue:6218", + "accept": false, + "reason": "Scheduler compatibility bug in FLUX vs batched seeds behavior in ControlNet/img2img; not the same underlying issue." + }, + { + "left": "issue:12728", + "right": "issue:3357", + "accept": false, + "reason": "Both involve torch.compile/Dynamo, but one is a channels_last + Wan 2.2 runtime/unsupported behavior problem and the other is a hasattr TensorVariable compile error." + }, + { + "left": "issue:10512", + "right": "issue:4885", + "accept": false, + "reason": "Both are LoRA-related, but one is unable to load Quanto Flux LoRA and the other is SDXL ControlNet Img2Img not loading LoRA weights; different pipelines and failure modes." + }, + { + "left": "issue:11464", + "right": "issue:11922", + "accept": false, + "reason": "Both are FLUX model issues, but one is loading a Canny-dev LoRA into FluxControlPipeline and the other is a generic FLUX.1-Fill-dev runtime problem." + }, + { + "left": "issue:490", + "right": "issue:6536", + "accept": false, + "reason": "Memory pressure in diffusion pipelines vs out-of-memory while fine-tuning UNet3DConditionModel; too broad and different contexts." + }, + { + "left": "issue:10653", + "right": "issue:13286", + "accept": false, + "reason": "8-bit .to(cpu) limitation for HunyuanVideoTransformer3DModel is unrelated to torchao quantization support in general." + }, + { + "left": "issue:13035", + "right": "issue:7082", + "accept": false, + "reason": "Import errors from different dependency packages: transformers MT5Tokenizer vs accelerate.hooks CpuOffload." + }, + { + "left": "issue:1377", + "right": "issue:3152", + "accept": false, + "reason": "Different external import failures: CLIPVisionModelWithProjection from transformers vs a TensorFlow Lite analyzer wrapper symbol." + }, + { + "left": "issue:4139", + "right": "issue:7286", + "accept": false, + "reason": "Both involve attention/custom diffusion, but one is precision casting for a custom attention processor and the other is cross-attention weight loading in Attend-and-Excite; not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 50, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10180", + "issue:10450", + "issue:10612", + "issue:10653", + "issue:10989", + "issue:11225", + "issue:11241", + "issue:11352", + "issue:11408", + "issue:11464", + "issue:11585", + "issue:1643", + "issue:1842", + "issue:2482", + "issue:2560", + "issue:2819", + "issue:2875", + "issue:3094", + "issue:3450", + "issue:3565", + "issue:3595", + "issue:3604", + "issue:3884", + "issue:4052", + "issue:4213", + "issue:4483", + "issue:4885", + "issue:499", + "issue:5014", + "issue:5016", + "issue:5197", + "issue:5621", + "issue:5628", + "issue:5798", + "issue:6069", + "issue:6362", + "issue:646", + "issue:7276", + "issue:7378", + "issue:7418", + "issue:9170", + "issue:9171", + "issue:9343", + "issue:9370", + "issue:9546", + "issue:9841", + "issue:9911" + ], + "soft_pairs": [ + "issue:5014|issue:9841", + "issue:3450|issue:3595", + "issue:5014|issue:5016", + "issue:10989|issue:11464", + "issue:3884|issue:7276", + "issue:4213|issue:499", + "issue:10180|issue:4885", + "issue:4213|issue:9171", + "issue:3565|issue:6362", + "issue:4052|issue:646", + "issue:10612|issue:9343", + "issue:1842|issue:5798", + "issue:10653|issue:11352", + "issue:1643|issue:9370", + "issue:11585|issue:4483", + "issue:2482|issue:3604", + "issue:11225|issue:3094", + "issue:2875|issue:5197", + "issue:7378|issue:9170", + "issue:10010|issue:10450", + "issue:2819|issue:7418", + "issue:5628|issue:6069", + "issue:11241|issue:9546", + "issue:11408|issue:5621", + "issue:2560|issue:9911" + ], + "prepared_review_unit_hash": "3c124435ad4ec2cbb77478f8f1864611b0eb78ac9e9008ed81275472e309148f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34781, + "estimated_input_tokens": 8696, + "estimated_eval_tokens": 17648 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is noisy and mostly groups Flux/LoRA/ControlNet/model-loading issues by lexical similarity. Only one pair looks like a true duplicate; the rest are related only at a broad subsystem level or describe different failure modes.", + "confidence": 0.73, + "canonical_issue_reason": "issue:10989 is the clearest representative of the main Flux LoRA loading problem, with a concrete failure mode (quantized transformers) and the strongest overlap with other Flux/LoRA loader reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10989 is the best issue to anchor this cluster because it states the core Flux ControlNet LoRA loading bug most concretely and broadly.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5014", + "right": "issue:9841", + "accept": false, + "reason": "Both are DreamBooth/LoRA-related, but one is a vague poor-results report and the other is a specific TypeError when use_dora=False; different bugs." + }, + { + "left": "issue:3450", + "right": "issue:3595", + "accept": true, + "reason": "Both report the same from_ckpt loading failure, with nearly identical wording and same code path." + }, + { + "left": "issue:5014", + "right": "issue:5016", + "accept": false, + "reason": "General bad LoRA training results vs a specific SDXL text-encoder training limitation; not the same concrete defect." + }, + { + "left": "issue:10989", + "right": "issue:11464", + "accept": false, + "reason": "Both mention Flux/LoRA loading, but one is quantization-specific and the other is a model/pipeline loading failure for a Canny LoRA; too different to merge." + }, + { + "left": "issue:3884", + "right": "issue:7276", + "accept": false, + "reason": "Different examples and different failure classes: LoRA script error vs dreambooth pretrained_model network errors." + }, + { + "left": "issue:4213", + "right": "issue:499", + "accept": false, + "reason": "from_single_file accelerate dependency issue vs an unrelated unconditional training script problem." + }, + { + "left": "issue:10180", + "right": "issue:4885", + "accept": false, + "reason": "Both involve LoRA loading, but they affect different pipelines and describe different adapter-loading behavior." + }, + { + "left": "issue:4213", + "right": "issue:9171", + "accept": false, + "reason": "from_single_file without accelerate is unrelated to the SD1.5 v_prediction regression." + }, + { + "left": "issue:3565", + "right": "issue:6362", + "accept": false, + "reason": "Both are OOM reports, but they occur in different training stages and scripts; not the same bug." + }, + { + "left": "issue:4052", + "right": "issue:646", + "accept": false, + "reason": "Missing from_single_file method vs scheduler.set_format attribute error; unrelated API issues." + }, + { + "left": "issue:10612", + "right": "issue:9343", + "accept": false, + "reason": "Both are FLUX load issues, but one is NF4/LoRA loading and the other is low_cpu_mem_usage/ignore_mismatched_sizes; different code paths." + }, + { + "left": "issue:1842", + "right": "issue:5798", + "accept": false, + "reason": "Different missing-argument API errors (`eta` vs `callback_on_step_end`) in different pipelines." + }, + { + "left": "issue:10653", + "right": "issue:11352", + "accept": false, + "reason": "Both concern bitsandbytes 8bit/CPU movement, but one is a hard `.to()` error and the other is about missing warning behavior; not same concrete bug." + }, + { + "left": "issue:1643", + "right": "issue:9370", + "accept": false, + "reason": "Completely different model API errors: xformers attention signature vs missing pooled_projection." + }, + { + "left": "issue:11585", + "right": "issue:4483", + "accept": false, + "reason": "A subjective output-quality complaint is not the same as a determinism bug." + }, + { + "left": "issue:2482", + "right": "issue:3604", + "accept": false, + "reason": "Both discuss weak LoRA training, but one is non-convergence and the other is loss not decreasing; too vague to treat as duplicates." + }, + { + "left": "issue:11225", + "right": "issue:3094", + "accept": false, + "reason": "Both are OOM during training, but on different models/examples and different phases." + }, + { + "left": "issue:2875", + "right": "issue:5197", + "accept": false, + "reason": "Training loss NaN and multi-GPU performance regression are unrelated issues." + }, + { + "left": "issue:7378", + "right": "issue:9170", + "accept": false, + "reason": "Different memory problems in different pipelines; one is latent decoding, the other SDXL/ControlNet training memory size." + }, + { + "left": "issue:10010", + "right": "issue:10450", + "accept": false, + "reason": "Missing model_index.json for FLUX Fill example is unrelated to an architectural difference between transformer blocks." + }, + { + "left": "issue:2819", + "right": "issue:7418", + "accept": false, + "reason": "A broken raw.githubusercontent example URL and a bug in a specific community pipeline are unrelated." + }, + { + "left": "issue:5628", + "right": "issue:6069", + "accept": false, + "reason": "Both are scheduler bugs, but they affect different schedulers and different numerical edge cases." + }, + { + "left": "issue:11241", + "right": "issue:9546", + "accept": false, + "reason": "Floating point exception during Flux ControlNet training vs validation-step OOM; different failure modes." + }, + { + "left": "issue:11408", + "right": "issue:5621", + "accept": false, + "reason": "Compiled-model adapter support and SDXL ControlNet encoder_hid_proj support are unrelated feature gaps." + }, + { + "left": "issue:2560", + "right": "issue:9911", + "accept": false, + "reason": "Determinism with a list of generators vs multi-ControlNet layer-length incompatibility are different issues." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The one accepted pair, issue:3450 vs issue:3595, is well supported by the nearly identical from_ckpt failure descriptions. The other pair judgments are appropriately cautious given the titles/bodies available. The only slightly broad phrasing is the claim that issue:10989 is the cluster anchor, since it is quantization-specific, but it still works as a representative Flux LoRA loading issue." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 51, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1070", + "issue:10804", + "issue:1082", + "issue:11062", + "issue:11464", + "issue:11585", + "issue:11700", + "issue:1188", + "issue:1614", + "issue:1617", + "issue:1672", + "issue:2288", + "issue:2296", + "issue:3788", + "issue:4006", + "issue:4061", + "issue:4094", + "issue:4256", + "issue:4529", + "issue:4530", + "issue:460", + "issue:490", + "issue:4916", + "issue:4925", + "issue:5006", + "issue:5012", + "issue:5225", + "issue:5412", + "issue:5433", + "issue:5442", + "issue:5474", + "issue:6130", + "issue:6159", + "issue:6176", + "issue:6353", + "issue:6385", + "issue:6761", + "issue:6894", + "issue:7146", + "issue:725", + "issue:7322", + "issue:7619", + "issue:8514", + "issue:8939", + "issue:9421", + "issue:9643", + "issue:9732", + "issue:9804" + ], + "soft_pairs": [ + "issue:4006|issue:4916", + "issue:1082|issue:4256", + "issue:3788|issue:5442", + "issue:4529|issue:6761", + "issue:4925|issue:6353", + "issue:1614|issue:1672", + "issue:1070|issue:9421", + "issue:4530|issue:5433", + "issue:2288|issue:4094", + "issue:11585|issue:2296", + "issue:10804|issue:11464", + "issue:1617|issue:7619", + "issue:5012|issue:6894", + "issue:11062|issue:6130", + "issue:1188|issue:5474", + "issue:1672|issue:490", + "issue:11700|issue:725", + "issue:7146|issue:8514", + "issue:5412|issue:7322", + "issue:8939|issue:9804", + "issue:6159|issue:9643", + "issue:1070|issue:460", + "issue:4061|issue:6176", + "issue:5225|issue:6385", + "issue:5006|issue:9732" + ], + "prepared_review_unit_hash": "cbd696c0f32312decf3ce21663d7e0e80826c294848e77b60919c9041f529da6", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34720, + "estimated_input_tokens": 8680, + "estimated_eval_tokens": 17616 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes many unrelated training, OOM, pipeline, and LoRA-loading reports. The soft-similarity pairs mostly reflect broad thematic overlap rather than the same underlying bug, so none should be merged as duplicates.", + "confidence": 0.9, + "canonical_issue_reason": "issue:6130 is the broadest and most central report in the LoRA-loading subset ('Error while loading Lora'); it can serve as an umbrella reference, but it is not a true duplicate of the other issue-specific failures.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6130 is the best representative issue because it is the most generic and closest to a catch-all for the repeated LoRA-loading complaints in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4006", + "right": "issue:4916", + "accept": false, + "reason": "Both are training-related and mention gradient checkpointing/DeepSpeed, but they describe different failure modes and contexts; not the same concrete bug." + }, + { + "left": "issue:1082", + "right": "issue:4256", + "accept": false, + "reason": "Both are training errors, but one is a CUDA cublas failure in Dreambooth and the other is a generic SDXL-Dreambooth training error; too little evidence they share one root cause." + }, + { + "left": "issue:3788", + "right": "issue:5442", + "accept": false, + "reason": "Different new-pipeline feature requests (UniControl vs ScaleCrafter); no indication of the same change or bug." + }, + { + "left": "issue:4529", + "right": "issue:6761", + "accept": false, + "reason": "Both are API/compatibility errors, but one is a LoRA loader keyword mismatch and the other is a VaeImageProcessor.preprocess argument issue; different code paths." + }, + { + "left": "issue:4925", + "right": "issue:6353", + "accept": false, + "reason": "Both concern SDXL training examples, but one is distributed ControlNet OOM and the other is an example-command failure; not the same underlying issue." + }, + { + "left": "issue:1614", + "right": "issue:1672", + "accept": false, + "reason": "Both relate to incorrect image outputs after conversion/autocast, but the symptoms and workflows differ enough that they do not look like one bug." + }, + { + "left": "issue:1070", + "right": "issue:9421", + "accept": false, + "reason": "Both mention inpainting models, but one is a bug in a new inpainting version and the other is inability to access a specific model repository; different problems." + }, + { + "left": "issue:4530", + "right": "issue:5433", + "accept": false, + "reason": "Both involve SDXL artifacts, but one is a refiner artifact issue and the other is DPM++ scheduler artifacts without refiner; not the same concrete defect." + }, + { + "left": "issue:2288", + "right": "issue:4094", + "accept": false, + "reason": "These are separate feature requests for different training scripts (InstructPix2Pix vs T2I adapters)." + }, + { + "left": "issue:11585", + "right": "issue:2296", + "accept": false, + "reason": "A generic poor-result report is not the same as xformers failing on T4; too broad to be duplicates." + }, + { + "left": "issue:10804", + "right": "issue:11464", + "accept": false, + "reason": "Both are LoRA loading problems, but one is FLUX1.dev LoRA loading and the other is FLUX.1-Canny-dev-lora into FluxControlPipeline; similar area, different concrete failure." + }, + { + "left": "issue:1617", + "right": "issue:7619", + "accept": false, + "reason": "Both are training-script errors, but one is missing required args for Dreambooth and the other is a channel-count mismatch; distinct bugs." + }, + { + "left": "issue:5012", + "right": "issue:6894", + "accept": false, + "reason": "Both concern SDXL LoRA text-encoder behavior, but one is inability to train the text encoder and the other is a LoRA not working in A1111; different manifestations and code paths." + }, + { + "left": "issue:11062", + "right": "issue:6130", + "accept": false, + "reason": "Both are LoRA loading complaints, but one is a specific CivitAI LoRA loading error and the other is a generic 'Error while loading Lora'; likely related only at a broad level, not clearly the same bug." + }, + { + "left": "issue:1188", + "right": "issue:5474", + "accept": false, + "reason": "Different feature requests for different pipelines (CLIPSeg+SD vs Stable Diffusion Reference Only)." + }, + { + "left": "issue:1672", + "right": "issue:490", + "accept": false, + "reason": "Both are model conversion/memory-related issues, but one is wrong output size after ckpt-to-diffusers conversion and the other is general memory problems; not the same defect." + }, + { + "left": "issue:11700", + "right": "issue:725", + "accept": false, + "reason": "Both concern loading pipelines/models with lower memory use, but one requests pruna integration and the other asks for device map/accelerate support; different changes." + }, + { + "left": "issue:7146", + "right": "issue:8514", + "accept": false, + "reason": "Both are training failures, but one is SDXL fine-tuning CUDA OOM and the other is an EMAModel parallel fine-tuning error; different root causes." + }, + { + "left": "issue:5412", + "right": "issue:7322", + "accept": false, + "reason": "Both mention SDXL Dreambooth LoRA training failures, but one is checkpoint resume failure and the other is SIGKILL/OOM with a newer diffusers version; not the same concrete bug." + }, + { + "left": "issue:8939", + "right": "issue:9804", + "accept": false, + "reason": "Both are model-loading errors, but one is a tokenizer load failure for SD3 and the other is local SDXL ControlNet model loading; unrelated." + }, + { + "left": "issue:6159", + "right": "issue:9643", + "accept": false, + "reason": "Both involve unsupported ControlNet/Flux-related API behavior, but one is a missing denoising_end argument on SDXL ControlNetXSPipeline and the other is multiple ControlNets on Flux; different features." + }, + { + "left": "issue:1070", + "right": "issue:460", + "accept": false, + "reason": "Inpainting model issue vs ONNX/CUDA runtime dependency issue; unrelated subsystems." + }, + { + "left": "issue:4061", + "right": "issue:6176", + "accept": false, + "reason": "Both are LoRA-loading errors, but one is an SDXL load-lora issue and the other is loading LoRA weights after Dreambooth training; similar area, not the same bug." + }, + { + "left": "issue:5225", + "right": "issue:6385", + "accept": false, + "reason": "Both are VRAM-heavy SDXL-related problems, but one is a training forward-pass OOM and the other is unexpectedly high VRAM in StableVideoDiffusionPipeline; different code paths." + }, + { + "left": "issue:5006", + "right": "issue:9732", + "accept": false, + "reason": "Both are SDXL training OOMs, but one is BF16-specific end-of-training CUDA OOM and the other is a Flux dreambooth guide OOM on 3090 Ti; not clearly the same issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 52, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10282", + "issue:10650", + "issue:11045", + "issue:1552", + "issue:1565", + "issue:1974", + "issue:2185", + "issue:2459", + "issue:3124", + "issue:3177", + "issue:3382", + "issue:3420", + "issue:3582", + "issue:3619", + "issue:3802", + "issue:3803", + "issue:3884", + "issue:4468", + "issue:5028", + "issue:5319", + "issue:5466", + "issue:5515", + "issue:5619", + "issue:5884", + "issue:6069", + "issue:6176", + "issue:6362", + "issue:6446", + "issue:6610", + "issue:6866", + "issue:7002", + "issue:7064", + "issue:7146", + "issue:7157", + "issue:7197", + "issue:7210", + "issue:7263", + "issue:771", + "issue:7728", + "issue:7799", + "issue:8578", + "issue:8909", + "issue:9026", + "issue:9141", + "issue:9343", + "issue:9525", + "issue:9556" + ], + "soft_pairs": [ + "issue:2459|issue:3802", + "issue:3803|issue:4468", + "issue:6610|issue:9141", + "issue:10282|issue:8578", + "issue:1552|issue:6446", + "issue:11045|issue:9343", + "issue:3420|issue:771", + "issue:5319|issue:7157", + "issue:5466|issue:6176", + "issue:2185|issue:7197", + "issue:2459|issue:3124", + "issue:5028|issue:9026", + "issue:5884|issue:6866", + "issue:8909|issue:9556", + "issue:3582|issue:3619", + "issue:3884|issue:7728", + "issue:10650|issue:7002", + "issue:6362|issue:7146", + "issue:1974|issue:5619", + "issue:2459|issue:3619", + "issue:10026|issue:3177", + "issue:7210|issue:9525", + "issue:6866|issue:7064", + "issue:5515|issue:6069", + "issue:1565|issue:3382", + "issue:7263|issue:7799" + ], + "prepared_review_unit_hash": "7699020fdb07eede8b06a675c0209b0d6b9281b74099c55ad05b38d47584a339", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34844, + "estimated_input_tokens": 8711, + "estimated_eval_tokens": 17678 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose lexical grouping of many unrelated diffusers training/loading issues. None of the soft pairs look like the same underlying bug or change, so all soft edges should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2459", + "right": "issue:3802", + "accept": false, + "reason": "Different bugs: xformers attention in one training script vs checkpoint retention limit not working in training examples." + }, + { + "left": "issue:3803", + "right": "issue:4468", + "accept": false, + "reason": "Both mention multi-GPU behavior, but one is about LoRA model sharing/state across GPUs and the other is about performance differences; not the same concrete failure." + }, + { + "left": "issue:6610", + "right": "issue:9141", + "accept": false, + "reason": "Different APIs and failure modes: SDXL inpaint `num_in_channels` ignored vs FluxPipeline missing `from_single_file()`." + }, + { + "left": "issue:10282", + "right": "issue:8578", + "accept": false, + "reason": "Both are loading/meta-tensor errors, but the model shapes and root causes differ; not the same bug." + }, + { + "left": "issue:1552", + "right": "issue:6446", + "accept": false, + "reason": "Stable Diffusion 2 attention slicing issue is unrelated to minimal-loading/Colab model loading failure." + }, + { + "left": "issue:11045", + "right": "issue:9343", + "accept": false, + "reason": "Both involve Flux loading/training, but one is a DreamBooth LoRA crash and the other is a parameter-loading mismatch with low_cpu_mem_usage/ignore_mismatched_sizes." + }, + { + "left": "issue:3420", + "right": "issue:771", + "accept": false, + "reason": "ControlNet inpaint pipeline integration issue vs BF16 dreambooth support; different code paths and symptoms." + }, + { + "left": "issue:5319", + "right": "issue:7157", + "accept": false, + "reason": "Both touch PEFT/LoRA, but one is about loading speed and the other about unexpected keys when loading an LCM LoRA; not the same defect." + }, + { + "left": "issue:5466", + "right": "issue:6176", + "accept": false, + "reason": "Different LoRA loading problems: SDXL shape mismatch on image-to-image load vs failure after training dreambooth_lora." + }, + { + "left": "issue:2185", + "right": "issue:7197", + "accept": false, + "reason": "Missing config files for naive text-to-image training is unrelated to the KeyError while resuming training from local SD 1.5." + }, + { + "left": "issue:2459", + "right": "issue:3124", + "accept": false, + "reason": "One is a training-script xformers issue; the other is a model conversion failure. No shared concrete bug." + }, + { + "left": "issue:5028", + "right": "issue:9026", + "accept": false, + "reason": "Unexpected keyword/forward signature problems in different components: reference pipeline forward hook vs accelerate dispatch argument mismatch." + }, + { + "left": "issue:5884", + "right": "issue:6866", + "accept": false, + "reason": "Both are IP-Adapter feature requests, but one is broad support across ControlNet/T2I pipelines and the other is specific to SDXL ControlNet Inpaint." + }, + { + "left": "issue:8909", + "right": "issue:9556", + "accept": false, + "reason": "Different LoRA-save problems: text_encoder_ti saving in an advanced DreamBooth script vs rslora save-format problems." + }, + { + "left": "issue:3582", + "right": "issue:3619", + "accept": false, + "reason": "Different pipelines and bugs: ControlNet inpaint strength handling vs Text2Video-Zero CrossFrameAttention." + }, + { + "left": "issue:3884", + "right": "issue:7728", + "accept": false, + "reason": "Both are training-script errors, but they involve different scripts and different failure conditions; not the same issue." + }, + { + "left": "issue:10650", + "right": "issue:7002", + "accept": false, + "reason": "Different shape/buffer failures in different pipelines and models; too generic to treat as one bug." + }, + { + "left": "issue:6362", + "right": "issue:7146", + "accept": false, + "reason": "Both mention SDXL OOM, but one is dataset mapping memory usage and the other is fine-tuning OOM; related theme, not same root cause." + }, + { + "left": "issue:1974", + "right": "issue:5619", + "accept": false, + "reason": "Euler scheduler generator-list reproducibility bug is unrelated to AutoencodeTiny/LCM image-encoding failure." + }, + { + "left": "issue:2459", + "right": "issue:3619", + "accept": false, + "reason": "xformers memory-efficient attention in a training script is unrelated to CrossFrameAttention not working in Text2Video-Zero." + }, + { + "left": "issue:10026", + "right": "issue:3177", + "accept": false, + "reason": "Both concern DeepSpeed stage 3 memory/offload behavior, but one is Flux ControlNet multi-GPU training and the other is DreamBooth stage-3 offloading; different code paths." + }, + { + "left": "issue:7210", + "right": "issue:9525", + "accept": false, + "reason": "Different Flux-related problems: missing `named_parameters` under checkpoint dispatch vs `lora_scale` having no effect when loading." + }, + { + "left": "issue:6866", + "right": "issue:7064", + "accept": false, + "reason": "Both are IP-Adapter support issues, but they target different pipelines and capabilities, so they are not the same bug/change." + }, + { + "left": "issue:5515", + "right": "issue:6069", + "accept": false, + "reason": "LCM pipeline initialization without a scheduler is unrelated to DPM++ Karras `add_noise` failing at `t=0`." + }, + { + "left": "issue:1565", + "right": "issue:3382", + "accept": false, + "reason": "GPU selection/placement complaint vs multi-GPU OOM in text-to-image training; similar theme, different underlying issue." + }, + { + "left": "issue:7263", + "right": "issue:7799", + "accept": false, + "reason": "IP-Adapter plus attention slicing vs IP-Adapter matmul size mismatch in a different pipeline; not the same concrete failure." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 53, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10154", + "issue:10337", + "issue:10542", + "issue:10952", + "issue:11006", + "issue:11127", + "issue:11145", + "issue:11436", + "issue:12104", + "issue:12141", + "issue:1261", + "issue:12656", + "issue:12689", + "issue:13300", + "issue:1478", + "issue:1552", + "issue:1614", + "issue:1672", + "issue:222", + "issue:2296", + "issue:2549", + "issue:2838", + "issue:2904", + "issue:3420", + "issue:3884", + "issue:4086", + "issue:4104", + "issue:4256", + "issue:4316", + "issue:4557", + "issue:5037", + "issue:5607", + "issue:5757", + "issue:6073", + "issue:6082", + "issue:6086", + "issue:6415", + "issue:6741", + "issue:684", + "issue:8482", + "issue:8556", + "issue:8659", + "issue:8667", + "issue:8817", + "issue:9443", + "issue:9525", + "issue:9599", + "issue:9861" + ], + "soft_pairs": [ + "issue:11145|issue:9599", + "issue:4557|issue:6741", + "issue:4256|issue:6073", + "issue:12104|issue:12656", + "issue:10154|issue:9525", + "issue:12141|issue:1552", + "issue:10952|issue:12689", + "issue:8556|issue:9443", + "issue:11436|issue:6082", + "issue:6415|issue:8817", + "issue:10337|issue:13300", + "issue:4086|issue:684", + "issue:1261|issue:222", + "issue:10542|issue:11006", + "issue:2838|issue:8482", + "issue:1614|issue:4104", + "issue:11127|issue:9861", + "issue:4316|issue:5037", + "issue:1478|issue:1614", + "issue:2549|issue:3420", + "issue:1672|issue:2296", + "issue:2904|issue:4557", + "issue:5607|issue:8667", + "issue:5757|issue:8659", + "issue:3884|issue:6086" + ], + "prepared_review_unit_hash": "dfab6d643699c7335cf732b48d11c9300ad7dfdad7efa254d9281c7595112473", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34676, + "estimated_input_tokens": 8669, + "estimated_eval_tokens": 17594 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a loose collection of unrelated issues with title-level similarity only. A few pairs look like true duplicates within narrow failure modes (FaceID/IP-Adapter support, black-image/autocast, DreamBooth validation, checkpoint resume, and one SD3 tensor-shape case), but there is no single coherent cluster-wide bug.", + "confidence": 0.58, + "canonical_issue_reason": "Issue 1614 is the clearest concrete bug in the set and has the strongest duplicate signal, with 4104 describing the same black-image/cast failure mode.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1614 is the strongest representative issue because it states a specific symptom and code path, and it cleanly matches a close duplicate candidate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11145", + "right": "issue:9599", + "accept": false, + "reason": "Both are about FLUX LoRA support, but one is a support request and the other is a missing example; not the same bug." + }, + { + "left": "issue:4557", + "right": "issue:6741", + "accept": false, + "reason": "Both are AttributeError-type reports, but they hit different code paths and different missing attributes." + }, + { + "left": "issue:4256", + "right": "issue:6073", + "accept": false, + "reason": "Same DreamBooth area, but the reports are too generic and likely different training/setup failures." + }, + { + "left": "issue:12104", + "right": "issue:12656", + "accept": false, + "reason": "Both mention index errors, but AuraFlow positional embedding OOB is a different bug from a generic out-of-bounds crash." + }, + { + "left": "issue:10154", + "right": "issue:9525", + "accept": false, + "reason": "Both involve LoRA loading in Flux, but one is an attribute error and the other is lora_scale having no effect; different failures." + }, + { + "left": "issue:12141", + "right": "issue:1552", + "accept": false, + "reason": "Different subsystems and symptoms: VAE dtype mismatch versus attention slicing behavior." + }, + { + "left": "issue:10952", + "right": "issue:12689", + "accept": false, + "reason": "Both are LoRA-adjacent, but adapter-name registration and checkpoint weight loading are different underlying problems." + }, + { + "left": "issue:8556", + "right": "issue:9443", + "accept": false, + "reason": "Different SD3 load-time failures: meta-tensor copying versus tokenizer instantiation." + }, + { + "left": "issue:11436", + "right": "issue:6082", + "accept": false, + "reason": "Both are dtype mismatches, but they involve different models and different dtype combinations." + }, + { + "left": "issue:6415", + "right": "issue:8817", + "accept": true, + "reason": "Both report IP-Adapter FaceID/FaceID-plus not being usable; same missing-support issue." + }, + { + "left": "issue:10337", + "right": "issue:13300", + "accept": false, + "reason": "Different model/runtime contexts; quantized IP-Adapter failure is not the same as CPU generation failures." + }, + { + "left": "issue:4086", + "right": "issue:684", + "accept": false, + "reason": "Different hardware and training bugs; only the broad training subsystem overlaps." + }, + { + "left": "issue:1261", + "right": "issue:222", + "accept": false, + "reason": "A specific xformers backward assert is not the same as a generic training RuntimeError." + }, + { + "left": "issue:10542", + "right": "issue:11006", + "accept": false, + "reason": "Both are video-pipeline issues, but different models and different root causes." + }, + { + "left": "issue:2838", + "right": "issue:8482", + "accept": false, + "reason": "One is a ControlNet support request, the other is SD3 model support; related area but not the same bug." + }, + { + "left": "issue:1614", + "right": "issue:4104", + "accept": true, + "reason": "Both describe black-image output tied to cast/autocast behavior in Stable Diffusion 2.x; same failure mode." + }, + { + "left": "issue:11127", + "right": "issue:9861", + "accept": false, + "reason": "One is single-file model loading, the other is Flux training not updating weights; different problems." + }, + { + "left": "issue:4316", + "right": "issue:5037", + "accept": true, + "reason": "Both are train_dreambooth.py validation-image errors and likely stem from the same validation-image handling bug." + }, + { + "left": "issue:1478", + "right": "issue:1614", + "accept": false, + "reason": "Output-count limitation versus black-image/autocast corruption; not the same issue." + }, + { + "left": "issue:2549", + "right": "issue:3420", + "accept": false, + "reason": "Different model/pipeline incompatibilities, not one shared bug." + }, + { + "left": "issue:1672", + "right": "issue:2296", + "accept": false, + "reason": "Completely different topics: image-size conversion bug versus xformers attention on T4." + }, + { + "left": "issue:2904", + "right": "issue:4557", + "accept": false, + "reason": "Both are AttributeError reports, but on unrelated pipeline/object paths." + }, + { + "left": "issue:5607", + "right": "issue:8667", + "accept": true, + "reason": "Both point to tensor-size mismatches in SD3ControlNetModel with incompatible image shapes; same underlying shape bug." + }, + { + "left": "issue:5757", + "right": "issue:8659", + "accept": true, + "reason": "Both are SDXL checkpoint resume/load failures in training scripts, suggesting the same checkpoint-state handling bug." + }, + { + "left": "issue:3884", + "right": "issue:6086", + "accept": false, + "reason": "Same training family, but different error types and root causes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative about the overall cluster. The accepted soft pairs are plausible duplicates within narrow failure modes, and the rejected pairs do not overclaim equivalence. No mergeability issue is present because this is not a PR-pair case." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 54, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10055", + "issue:10640", + "issue:11314", + "issue:11585", + "issue:1214", + "issue:1249", + "issue:1552", + "issue:1572", + "issue:1709", + "issue:1867", + "issue:1949", + "issue:1974", + "issue:1976", + "issue:2044", + "issue:2052", + "issue:2089", + "issue:2296", + "issue:2299", + "issue:2560", + "issue:259", + "issue:3032", + "issue:3582", + "issue:4125", + "issue:490", + "issue:499", + "issue:5577", + "issue:5603", + "issue:6444", + "issue:6610", + "issue:6741", + "issue:6865", + "issue:7079", + "issue:7197", + "issue:7431", + "issue:746", + "issue:7483", + "issue:7574", + "issue:7708", + "issue:7751", + "issue:776", + "issue:8317", + "issue:8494", + "issue:8511", + "issue:8534", + "issue:8589", + "issue:859", + "issue:8939", + "issue:9398" + ], + "soft_pairs": [ + "issue:10640|issue:7079", + "issue:2044|issue:6741", + "issue:7483|issue:7708", + "issue:8317|issue:9398", + "issue:8494|issue:859", + "issue:1572|issue:1867", + "issue:2299|issue:490", + "issue:11585|issue:1976", + "issue:6444|issue:6610", + "issue:259|issue:776", + "issue:1974|issue:2560", + "issue:10055|issue:2052", + "issue:1249|issue:3032", + "issue:5577|issue:7574", + "issue:1214|issue:499", + "issue:4125|issue:7197", + "issue:5603|issue:6865", + "issue:746|issue:8939", + "issue:8511|issue:8589", + "issue:1552|issue:2296", + "issue:1709|issue:3032", + "issue:2089|issue:7431", + "issue:11314|issue:8534", + "issue:1949|issue:7751", + "issue:1552|issue:3582" + ], + "prepared_review_unit_hash": "1a264a65092a3da1c8165bb41bbb03ca11bb1d00ebb4824817a2301863804d89", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 35019, + "estimated_input_tokens": 8755, + "estimated_eval_tokens": 17766 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous training/inference bug reports, not a tight duplicate set. The only plausible duplicate pair is the list-of-generators img2img bug (1974/2560); the rest differ by pipeline, model family, or root cause.", + "confidence": 0.74, + "canonical_issue_reason": "If one issue has to represent the cluster, issue 2560 is the best fit because it is the broadest version of the only near-duplicate subtopic we can see: incorrect img2img behavior when using a list of generators.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 2560 is the strongest representative of the generator-list img2img bug; however, the surrounding issues are too unrelated for a strong cluster canonical.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10640", + "right": "issue:7079", + "accept": false, + "reason": "Different failures: DataParallel/multi-GPU interaction vs Transformer2DModel patch/layer-norm error." + }, + { + "left": "issue:2044", + "right": "issue:6741", + "accept": false, + "reason": "Unrelated bugs: DDP dtype access vs missing CLI argument in a train script." + }, + { + "left": "issue:7483", + "right": "issue:7708", + "accept": false, + "reason": "Different problems: LoRA conversion for SDXL-base models vs missing tokenizer/config files for SDXL checkpoint loading." + }, + { + "left": "issue:8317", + "right": "issue:9398", + "accept": false, + "reason": "Different code paths: AsymmetricAutoencoderKL decode signature vs CombinedTimestepGuidanceTextProjEmbeddings argument mismatch." + }, + { + "left": "issue:8494", + "right": "issue:859", + "accept": false, + "reason": "Different API errors: SD3 force_hooks keyword vs device_map constructor argument." + }, + { + "left": "issue:1572", + "right": "issue:1867", + "accept": false, + "reason": "Both are img2img-related, but one is a mega pipeline mode issue and the other is a low-strength scheduler behavior bug; not the same bug." + }, + { + "left": "issue:2299", + "right": "issue:490", + "accept": false, + "reason": "One is checkpoint conversion/output packaging; the other is a memory usage comparison issue." + }, + { + "left": "issue:11585", + "right": "issue:1976", + "accept": false, + "reason": "A general 'web UI result' complaint is not the same underlying bug as a specific tokenizer path/OSError." + }, + { + "left": "issue:6444", + "right": "issue:6610", + "accept": false, + "reason": "Different SDXL training/inference failures: peft_config access vs num_in_channels being ignored in from_single_file." + }, + { + "left": "issue:259", + "right": "issue:776", + "accept": false, + "reason": "Different features: progress bar rendering vs img2img batch_size>1 breakage." + }, + { + "left": "issue:1974", + "right": "issue:2560", + "accept": true, + "reason": "Both report incorrect img2img batch generation when passing a list of generators; same generator-handling bug in the pipeline/scheduler path." + }, + { + "left": "issue:10055", + "right": "issue:2052", + "accept": false, + "reason": "ControlNet SD3 training script failure is unrelated to textual inversion checkpoint resume logic." + }, + { + "left": "issue:1249", + "right": "issue:3032", + "accept": false, + "reason": "ONNX ndarray/device error is unrelated to a missing from_pretrained attribute on a ControlNet pipeline class." + }, + { + "left": "issue:5577", + "right": "issue:7574", + "accept": false, + "reason": "Different conversion/loading failures: ControlNet single-file key mismatch vs UNet weight key mismatch." + }, + { + "left": "issue:1214", + "right": "issue:499", + "accept": false, + "reason": "Half-precision CLIPTextModel behavior is unrelated to the example unconditional training script not working." + }, + { + "left": "issue:4125", + "right": "issue:7197", + "accept": false, + "reason": "Different training concerns: LoRA loss-curve expectations vs a resume-time KeyError in text-image training." + }, + { + "left": "issue:5603", + "right": "issue:6865", + "accept": false, + "reason": "ImportError for a removed utility is unrelated to a load_image Image-type check bug." + }, + { + "left": "issue:746", + "right": "issue:8939", + "accept": false, + "reason": "Different loading problems: ONNX revision loading vs tokenizer files missing for SD3 medium." + }, + { + "left": "issue:8511", + "right": "issue:8589", + "accept": false, + "reason": "Both are SD3 DreamBooth topics, but one is text-encoder unloading and the other is prior-preservation support; different bugs." + }, + { + "left": "issue:1552", + "right": "issue:2296", + "accept": false, + "reason": "Attention slicing on SD2 and xformers on T4 are separate memory/performance issues." + }, + { + "left": "issue:1709", + "right": "issue:3032", + "accept": false, + "reason": "ONNX tensor/astype error is unrelated to the ControlNet pipeline attribute error." + }, + { + "left": "issue:2089", + "right": "issue:7431", + "accept": false, + "reason": "Different training bugs: AltDiffusion DreamBooth OOM vs DoRA with text encoder issues." + }, + { + "left": "issue:11314", + "right": "issue:8534", + "accept": false, + "reason": "Different SD3 training-script mistakes: Flux ControlNet training bug vs SD3 DreamBooth logit-normal weighting." + }, + { + "left": "issue:1949", + "right": "issue:7751", + "accept": false, + "reason": "Generic DreamBooth tutorial training errors are unrelated to animatediff motion-module conversion errors." + }, + { + "left": "issue:1552", + "right": "issue:3582", + "accept": false, + "reason": "Attention slicing and ControlNet inpaint strength=1 are different pipeline behaviors." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. It correctly treats the cluster as heterogeneous and only accepts the one clearly supported near-duplicate pair (1974/2560) about list-of-generators img2img behavior. The other soft-edge rejections are cautious and consistent with the issue titles." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 55, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10266", + "issue:10673", + "issue:1082", + "issue:11006", + "issue:11160", + "issue:11839", + "issue:1214", + "issue:12157", + "issue:12433", + "issue:12559", + "issue:12771", + "issue:1407", + "issue:1919", + "issue:2578", + "issue:2645", + "issue:337", + "issue:3382", + "issue:3432", + "issue:4134", + "issue:4213", + "issue:4386", + "issue:4453", + "issue:4480", + "issue:4580", + "issue:4677", + "issue:487", + "issue:4935", + "issue:5012", + "issue:5227", + "issue:5619", + "issue:5749", + "issue:5798", + "issue:6280", + "issue:6371", + "issue:6382", + "issue:6661", + "issue:6964", + "issue:7049", + "issue:7660", + "issue:771", + "issue:8320", + "issue:8494", + "issue:8551", + "issue:8668", + "issue:9187", + "issue:9497", + "issue:9726" + ], + "soft_pairs": [ + "issue:6382|issue:9187", + "issue:2578|issue:6964", + "issue:2578|issue:7660", + "issue:4386|issue:4453", + "issue:10673|issue:11839", + "issue:12433|issue:1919", + "issue:11006|issue:11160", + "issue:12559|issue:3432", + "issue:9497|issue:9726", + "issue:2645|issue:4480", + "issue:4213|issue:5227", + "issue:5798|issue:8494", + "issue:12771|issue:4580", + "issue:6280|issue:8320", + "issue:1407|issue:7049", + "issue:5619|issue:771", + "issue:1214|issue:487", + "issue:1082|issue:3382", + "issue:12157|issue:6371", + "issue:1214|issue:5227", + "issue:337|issue:4677", + "issue:4935|issue:5012", + "issue:8551|issue:8668", + "issue:10266|issue:5749", + "issue:4134|issue:6661" + ], + "prepared_review_unit_hash": "b4a9abc60dd5f68af4aff35dabbb2391f7139114187190b09bd07e791e3a7744", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34448, + "estimated_input_tokens": 8612, + "estimated_eval_tokens": 17480 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These issues are mostly unrelated bug reports across different pipelines, schedulers, training scripts, devices, and model families. The apparent matches are only superficial title similarity (e.g., generic \"out of bounds\", \"MPS\", \"from_single_file\", \"LoRA\"), not the same underlying defect.", + "confidence": 0.96, + "canonical_issue_reason": "No single issue is a good canonical representative because the set is heterogeneous and the proposed overlaps do not describe the same bug.", + "canonical_pr_reason": null, + "best_issue_reason": "None of the issues is meaningfully central to a duplicate cluster; each refers to a distinct concrete failure mode.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6382", + "right": "issue:9187", + "accept": false, + "reason": "Both mention IP Adapter, but one is a training key error and the other is an SDXL image-encoder-folder regression; different code paths and failures." + }, + { + "left": "issue:2578", + "right": "issue:6964", + "accept": false, + "reason": "Editable install problems are unrelated to the ControlNet 4-channel UNet issue." + }, + { + "left": "issue:2578", + "right": "issue:7660", + "accept": false, + "reason": "Editable-mode install failure and trace-example failure are different bugs." + }, + { + "left": "issue:4386", + "right": "issue:4453", + "accept": false, + "reason": "Both concern SDXL LoRA conversion, but one is a general question and the other is about producing safetensors for A1111; not the same defect." + }, + { + "left": "issue:10673", + "right": "issue:11839", + "accept": false, + "reason": "Both are shape/input-size errors, but they affect different models/pipelines (AuraFlow vs FluxKontext) and likely different shape logic." + }, + { + "left": "issue:12433", + "right": "issue:1919", + "accept": false, + "reason": "Different documentation/requirements issues for different examples; not the same missing-dependency or version bug." + }, + { + "left": "issue:11006", + "right": "issue:11160", + "accept": false, + "reason": "Same WAN 2.1 family, but one is broken video output with a quantized transformer and the other is inconsistent inference results; different failures." + }, + { + "left": "issue:12559", + "right": "issue:3432", + "accept": false, + "reason": "Both are runtime environment errors, but torchvision::nms missing and slow_conv2d_cpu half precision are unrelated." + }, + { + "left": "issue:9497", + "right": "issue:9726", + "accept": false, + "reason": "Both involve FLUX dreambooth, but the reported errors and conditions differ (mat2 shape vs multigpu training behavior)." + }, + { + "left": "issue:2645", + "right": "issue:4480", + "accept": false, + "reason": "Both involve Mac/MPS, but one is a CUDA assertion and the other is an MPS kernel crash; different root causes." + }, + { + "left": "issue:4213", + "right": "issue:5227", + "accept": false, + "reason": "From_single_file without accelerate and load_lora_weight with torch.compile are unrelated loader/compiler issues." + }, + { + "left": "issue:5798", + "right": "issue:8494", + "accept": false, + "reason": "Different unexpected-kwarg regressions (`callback_on_step_end` vs `force_hooks`) in different pipelines." + }, + { + "left": "issue:12771", + "right": "issue:4580", + "accept": false, + "reason": "Both mention `use_karras_sigmas`, but one is DPMSolverMultistepScheduler with a specific beta schedule and the other is UniPC schedule; different bugs." + }, + { + "left": "issue:6280", + "right": "issue:8320", + "accept": false, + "reason": "Both involve `from_single_file`, but the errors are different and point to different failure points." + }, + { + "left": "issue:1407", + "right": "issue:7049", + "accept": false, + "reason": "Onnx feature_extractor regression and IP-Adapter unpacking error are unrelated." + }, + { + "left": "issue:5619", + "right": "issue:771", + "accept": false, + "reason": "LCM img2img AutoencodeTiny bug and BF16 Dreambooth failure are unrelated." + }, + { + "left": "issue:1214", + "right": "issue:487", + "accept": false, + "reason": "Half-precision CLIPTextModel and M1 CPU StableDiffusionPipeline are different hardware/precision issues." + }, + { + "left": "issue:1082", + "right": "issue:3382", + "accept": false, + "reason": "Both are training failures, but one is a CUDA matmul execution failure and the other is multi-GPU OOM." + }, + { + "left": "issue:12157", + "right": "issue:6371", + "accept": false, + "reason": "Quantization-config iterable error for Qwen-Image training is unrelated to the controlnet_xs assert error." + }, + { + "left": "issue:1214", + "right": "issue:5227", + "accept": false, + "reason": "Half-precision CLIPTextModel and torch.compile LoRA loading are unrelated." + }, + { + "left": "issue:337", + "right": "issue:4677", + "accept": false, + "reason": "Both mention text-guided inpainting, but one is a broad inpainting problem and the other is a specific documentation script error." + }, + { + "left": "issue:4935", + "right": "issue:5012", + "accept": false, + "reason": "Both are about the SDXL LoRA training script, but one asks about AttnProcsLayers usage and the other about training the text encoder; different issues." + }, + { + "left": "issue:8551", + "right": "issue:8668", + "accept": false, + "reason": "Different pipelines and different bugs: VAE device placement under device_map vs SD3 image alignment to 16." + }, + { + "left": "issue:10266", + "right": "issue:5749", + "accept": false, + "reason": "Both are index-out-of-bounds errors, but the titles point to different code paths and no shared concrete reproducer." + }, + { + "left": "issue:4134", + "right": "issue:6661", + "accept": false, + "reason": "Both are MPS on Mac, but one is a ControlNet tensor-size mismatch and the other is an OOM during training." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 56, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10453", + "issue:10591", + "issue:11006", + "issue:12034", + "issue:12547", + "issue:1552", + "issue:1709", + "issue:1976", + "issue:2091", + "issue:2459", + "issue:2668", + "issue:2904", + "issue:3354", + "issue:3454", + "issue:3582", + "issue:3613", + "issue:3774", + "issue:4137", + "issue:4648", + "issue:4728", + "issue:4733", + "issue:4880", + "issue:5054", + "issue:5259", + "issue:5395", + "issue:5465", + "issue:5524", + "issue:5619", + "issue:5794", + "issue:5860", + "issue:6492", + "issue:6536", + "issue:6570", + "issue:6598", + "issue:6809", + "issue:6815", + "issue:6914", + "issue:746", + "issue:7766", + "issue:8514", + "issue:8833", + "issue:8956", + "issue:9044", + "issue:9112", + "issue:9200", + "issue:945", + "issue:9613" + ], + "soft_pairs": [ + "issue:3582|issue:5860", + "issue:4137|issue:6598", + "issue:5395|issue:6809", + "issue:6570|issue:9112", + "issue:10453|issue:5465", + "issue:12547|issue:8514", + "issue:2091|issue:4728", + "issue:11006|issue:12034", + "issue:10591|issue:3354", + "issue:1552|issue:5619", + "issue:1976|issue:9044", + "issue:3613|issue:3774", + "issue:5259|issue:8833", + "issue:5054|issue:5524", + "issue:1552|issue:2459", + "issue:2668|issue:4880", + "issue:3454|issue:4733", + "issue:746|issue:8956", + "issue:6492|issue:6815", + "issue:746|issue:945", + "issue:4728|issue:6536", + "issue:6914|issue:7766", + "issue:9200|issue:9613", + "issue:1709|issue:2904", + "issue:4648|issue:5794" + ], + "prepared_review_unit_hash": "debc23b19da6633f8e7bcfd4643641e3f6b65b7874fc59ef1f9e69a936aa8db0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34513, + "estimated_input_tokens": 8629, + "estimated_eval_tokens": 17514 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These issues are mostly heterogeneous and only superficially similar by subsystem or symptom. I would not merge any of the proposed soft pairs as duplicates; most share only broad themes like training, ControlNet, LoRA, loading errors, or black images without evidence of the same code path.", + "confidence": 0.82, + "canonical_issue_reason": "Issue 5524 is the strongest representative of the set because it has the highest discussion/references and a concrete, well-scoped failure report. That said, the overall collection is not a true duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 5524 is the best single issue to anchor triage because it appears impactful and well-documented, but it should not be treated as a duplicate target for the rest of the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3582", + "right": "issue:5860", + "accept": false, + "reason": "Both mention ControlNet failures, but one is an inpaint strength bug and the other is a tiny-autoencoder/ControlNet pipeline issue; different concrete failure modes." + }, + { + "left": "issue:4137", + "right": "issue:6598", + "accept": false, + "reason": "Both compare Diffusers to other implementations, but one is about LoRA output differences and the other is img2img parity; not the same bug." + }, + { + "left": "issue:5395", + "right": "issue:6809", + "accept": false, + "reason": "Both involve LoRA/PEFT loading, but the reports point to different adapter workflows and symptoms; too broad to assume one underlying defect." + }, + { + "left": "issue:6570", + "right": "issue:9112", + "accept": false, + "reason": "Both are tensor-shape errors, but they affect different pipelines/models and likely different code paths." + }, + { + "left": "issue:10453", + "right": "issue:5465", + "accept": false, + "reason": "Both are parameter-limitations in pipelines, but one is batch size on Hunyuan Video and the other is inpaint_strength in DiffEdit; unrelated." + }, + { + "left": "issue:12547", + "right": "issue:8514", + "accept": false, + "reason": "These are unrelated training errors in different workflows: a required argument problem versus an EMAModel parallel fine-tuning failure." + }, + { + "left": "issue:2091", + "right": "issue:4728", + "accept": false, + "reason": "Both involve checkpoint resume during training, but one is multi-GPU resume logic and the other is an OOM after resume; not clearly the same bug." + }, + { + "left": "issue:11006", + "right": "issue:12034", + "accept": false, + "reason": "Same model family, but one is broken output with quantized transformer and the other is quality mismatch versus an official space; different underlying issues." + }, + { + "left": "issue:10591", + "right": "issue:3354", + "accept": false, + "reason": "Both mention LoRA training scripts, but one is an unspecified SD3 script problem and the other is an fp16 casting bug; insufficient evidence they are the same." + }, + { + "left": "issue:1552", + "right": "issue:5619", + "accept": false, + "reason": "Different pipelines and failure modes: attention slicing on SD2 versus AutoencodeTiny encoding in LCM img2img." + }, + { + "left": "issue:1976", + "right": "issue:9044", + "accept": false, + "reason": "Both are model-loading file errors, but they reference different missing files and different models; not a shared code-path bug." + }, + { + "left": "issue:3613", + "right": "issue:3774", + "accept": false, + "reason": "Both are training-memory complaints, but one is DreamBooth OOM under torch 2.0 and the other is zero3 not reducing memory in text-to-image training." + }, + { + "left": "issue:5259", + "right": "issue:8833", + "accept": false, + "reason": "Both are missing-model-metadata errors, but one lacks model_index.json and the other lacks config.json; different loading scenarios." + }, + { + "left": "issue:5054", + "right": "issue:5524", + "accept": false, + "reason": "Both are AttributeError-style failures, but they affect different models and different missing attributes; no shared concrete bug is evident." + }, + { + "left": "issue:1552", + "right": "issue:2459", + "accept": false, + "reason": "Both involve SD2/LoRA-era functionality, but attention slicing and xformers memory-efficient attention are different features with different failures." + }, + { + "left": "issue:2668", + "right": "issue:4880", + "accept": false, + "reason": "Both concern ControlNet input handling, but one misroutes the ControlNet image in LPW mode while the other rejects the single-controlnet image argument; distinct bugs." + }, + { + "left": "issue:3454", + "right": "issue:4733", + "accept": false, + "reason": "Different DreamBooth/LoRA training issues with different resume/error behavior; not the same bug." + }, + { + "left": "issue:746", + "right": "issue:8956", + "accept": false, + "reason": "Both are loading failures, but one is an ONNX revision issue for img2img and the other is an OVStableDiffusionXL model-loading failure." + }, + { + "left": "issue:6492", + "right": "issue:6815", + "accept": false, + "reason": "Both mention black images, but only one explicitly ties it to invalid values during cast; symptom overlap alone is not enough to merge." + }, + { + "left": "issue:746", + "right": "issue:945", + "accept": false, + "reason": "Both relate to ONNX, but one is loading a specific pipeline by revision and the other is converting a custom checkpoint to ONNX; different problems." + }, + { + "left": "issue:4728", + "right": "issue:6536", + "accept": false, + "reason": "Both are OOM reports during training, but they involve different scripts/models and likely unrelated causes." + }, + { + "left": "issue:6914", + "right": "issue:7766", + "accept": false, + "reason": "One is an AttributeError triggered by CPU offload with IP-Adapter-FaceID; the other is a usage/help question around the same feature, not the same bug." + }, + { + "left": "issue:9200", + "right": "issue:9613", + "accept": false, + "reason": "Both mention version-specific diffusion/model errors, but the failures are different: dtype mismatch versus Timesteps missing scale." + }, + { + "left": "issue:1709", + "right": "issue:2904", + "accept": false, + "reason": "Completely different failures: ONNX tensor conversion versus AudioLDM scheduler being None." + }, + { + "left": "issue:4648", + "right": "issue:5794", + "accept": false, + "reason": "Both are missing-file loading errors, but they target different files and models; not the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 57, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10150", + "issue:10180", + "issue:10421", + "issue:10712", + "issue:1100", + "issue:11148", + "issue:11865", + "issue:12535", + "issue:1310", + "issue:2132", + "issue:2459", + "issue:2578", + "issue:2947", + "issue:3032", + "issue:3565", + "issue:3582", + "issue:3661", + "issue:3802", + "issue:4086", + "issue:4103", + "issue:4255", + "issue:4368", + "issue:4566", + "issue:4701", + "issue:4923", + "issue:5125", + "issue:5474", + "issue:5524", + "issue:5884", + "issue:5897", + "issue:6028", + "issue:6218", + "issue:6610", + "issue:696", + "issue:7053", + "issue:7057", + "issue:7064", + "issue:720", + "issue:7293", + "issue:7357", + "issue:7432", + "issue:746", + "issue:7799", + "issue:7854", + "issue:9051", + "issue:9643", + "issue:9673" + ], + "soft_pairs": [ + "issue:11148|issue:12535", + "issue:5125|issue:5897", + "issue:4923|issue:7293", + "issue:3565|issue:4368", + "issue:4255|issue:7432", + "issue:5884|issue:7064", + "issue:3661|issue:4086", + "issue:10150|issue:7357", + "issue:10712|issue:7799", + "issue:10421|issue:9673", + "issue:1310|issue:5474", + "issue:720|issue:7854", + "issue:2578|issue:6218", + "issue:9051|issue:9643", + "issue:11865|issue:6610", + "issue:2947|issue:5524", + "issue:6028|issue:696", + "issue:2459|issue:3582", + "issue:4701|issue:5897", + "issue:10180|issue:746", + "issue:1100|issue:3032", + "issue:2132|issue:3032", + "issue:4103|issue:7053", + "issue:3802|issue:7057", + "issue:4368|issue:4566" + ], + "prepared_review_unit_hash": "b3e8f07e60945c8594931b2b099460774837aeca569713a344d2621468197307", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34016, + "estimated_input_tokens": 8504, + "estimated_eval_tokens": 17264 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose set of unrelated Diffusers issues. Several mention SDXL, Flux, LoRA, or generic CUDA/runtime errors, but the paired items do not describe the same underlying bug or mergeable change.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 10150 is the broadest SDXL loading/inference performance report, so it is the closest anchor among these mostly unrelated reports; however, it is not a true duplicate hub for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10150 is the most general and central-sounding issue in the set, but only as a loose thematic anchor, not as a duplicate canonical.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11148", + "right": "issue:12535", + "accept": false, + "reason": "PEFT adapter-state bug vs a Wan2.2 Lightning LoRA loading failure; different models and failure modes." + }, + { + "left": "issue:5125", + "right": "issue:5897", + "accept": false, + "reason": "One is an xFormers attention kernel error, the other a device-placement mismatch in LoRA training; not the same bug." + }, + { + "left": "issue:4923", + "right": "issue:7293", + "accept": false, + "reason": "Both are AudioLDM2-related feature requests, but they ask for different capabilities and are not the same change." + }, + { + "left": "issue:3565", + "right": "issue:4368", + "accept": false, + "reason": "Both report OOM during training, but on different scripts/models and with different likely causes." + }, + { + "left": "issue:4255", + "right": "issue:7432", + "accept": false, + "reason": "Both compare Diffusers output quality to WebUI, but they are different complaints without a shared concrete code-path." + }, + { + "left": "issue:5884", + "right": "issue:7064", + "accept": false, + "reason": "General IP-Adapter support expansion vs a specific SAG/panorama support fix; different feature scopes." + }, + { + "left": "issue:3661", + "right": "issue:4086", + "accept": false, + "reason": "SD 2.x checkpoint conversion failure vs SDXL ControlNet training not working; different pipelines and bugs." + }, + { + "left": "issue:10150", + "right": "issue:7357", + "accept": false, + "reason": "Both mention SDXL slowness, but one is broad load/inference performance and the other is inference after torch.compile/fuse_loras; too different to merge." + }, + { + "left": "issue:10712", + "right": "issue:7799", + "accept": false, + "reason": "Prompt_embeds RuntimeError in SD3 vs a matmul size mismatch with InstructPix2Pix plus IP-Adapter; different models and error paths." + }, + { + "left": "issue:10421", + "right": "issue:9673", + "accept": false, + "reason": "CPU memory leak when moving pipelines across GPUs vs high CPU usage while loading multiple LoRAs; related theme, different bug." + }, + { + "left": "issue:1310", + "right": "issue:5474", + "accept": false, + "reason": "Old K-Diffusion pipeline discussion vs a new Stable Diffusion Reference Only pipeline request; not the same change." + }, + { + "left": "issue:720", + "right": "issue:7854", + "accept": false, + "reason": "Both are dtype mismatch errors, but they occur in different contexts and are not clearly the same defect." + }, + { + "left": "issue:2578", + "right": "issue:6218", + "accept": false, + "reason": "Editable install failure vs batched seed behavior in ControlNet/Img2Img; unrelated bugs." + }, + { + "left": "issue:9051", + "right": "issue:9643", + "accept": false, + "reason": "Both are Flux capability gaps, but batch inference and multiple ControlNets are distinct features." + }, + { + "left": "issue:11865", + "right": "issue:6610", + "accept": false, + "reason": "Both involve from_single_file, but for different models and different symptoms; not the same concrete bug." + }, + { + "left": "issue:2947", + "right": "issue:5524", + "accept": false, + "reason": "Different attribute errors on different model classes during LoRA handling; not a single underlying issue." + }, + { + "left": "issue:6028", + "right": "issue:696", + "accept": false, + "reason": "Both are OOM reports, but one is Kandinsky 3.0 inference and the other is DreamBooth training; too broad to duplicate." + }, + { + "left": "issue:2459", + "right": "issue:3582", + "accept": false, + "reason": "xFormers training script issue vs ControlNet inpaint strength behavior; no shared code-path." + }, + { + "left": "issue:4701", + "right": "issue:5897", + "accept": false, + "reason": "AutoencoderKL float32 CUDA error vs LoRA training device mismatch; different components and failures." + }, + { + "left": "issue:10180", + "right": "issue:746", + "accept": false, + "reason": "Flux Control LoRA multiple-LoRA loading vs an ONNX revision loading issue in Img2Img; unrelated." + }, + { + "left": "issue:1100", + "right": "issue:3032", + "accept": false, + "reason": "CLIPTextTransformer device attribute error vs missing from_pretrained on a pipeline class; different objects and fixes." + }, + { + "left": "issue:2132", + "right": "issue:3032", + "accept": false, + "reason": "Accelerator trackers error in a DreamBooth example vs a pipeline constructor/classmethod issue; not the same bug." + }, + { + "left": "issue:4103", + "right": "issue:7053", + "accept": false, + "reason": "AutoencoderKL scaling_factor usage vs UNet3D class conditioning; both are model-behavior bugs but on different modules." + }, + { + "left": "issue:3802", + "right": "issue:7057", + "accept": false, + "reason": "Checkpoint limit argument in training scripts vs a checkpoint/model-loading complaint; no clear overlap." + }, + { + "left": "issue:4368", + "right": "issue:4566", + "accept": false, + "reason": "SDXL LoRA training OOM vs resume-from-checkpoint failure; different training problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 58, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10180", + "issue:10518", + "issue:10612", + "issue:1125", + "issue:12141", + "issue:1263", + "issue:1363", + "issue:1896", + "issue:2363", + "issue:2851", + "issue:2941", + "issue:2991", + "issue:3221", + "issue:3223", + "issue:3700", + "issue:4213", + "issue:4307", + "issue:4728", + "issue:499", + "issue:539", + "issue:5465", + "issue:5798", + "issue:5857", + "issue:5897", + "issue:5917", + "issue:6028", + "issue:6094", + "issue:6176", + "issue:6218", + "issue:6689", + "issue:6956", + "issue:7146", + "issue:7147", + "issue:7263", + "issue:7418", + "issue:7483", + "issue:7589", + "issue:7591", + "issue:7666", + "issue:7728", + "issue:7931", + "issue:8228", + "issue:8359", + "issue:8956", + "issue:9051", + "issue:9527", + "issue:9953" + ], + "soft_pairs": [ + "issue:4728|issue:7146", + "issue:10518|issue:7418", + "issue:1363|issue:6176", + "issue:2941|issue:3223", + "issue:1263|issue:7147", + "issue:10180|issue:8956", + "issue:10612|issue:9953", + "issue:5897|issue:7728", + "issue:12141|issue:7666", + "issue:7263|issue:7931", + "issue:4307|issue:7591", + "issue:6028|issue:6956", + "issue:1125|issue:1896", + "issue:499|issue:7589", + "issue:4213|issue:6218", + "issue:539|issue:5798", + "issue:2363|issue:6689", + "issue:8228|issue:8359", + "issue:2851|issue:3700", + "issue:3221|issue:7483", + "issue:5917|issue:6094", + "issue:2991|issue:9527", + "issue:4213|issue:5857", + "issue:5465|issue:9051" + ], + "prepared_review_unit_hash": "639f93674e6eb2ad379f49464ebb50a5c2ee6e395ac31e140aa5cbc5d44b9319", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33774, + "estimated_input_tokens": 8444, + "estimated_eval_tokens": 17144 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No duplicate cluster here: the items are a heterogeneous mix of unrelated issue reports across LoRA, pipelines, conversion scripts, dtype/device errors, and OOMs. None of the soft pairs look like the same underlying bug or change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4728", + "right": "issue:7146", + "accept": false, + "reason": "Both mention OOM during training, but one is resume-from-checkpoint on a UNet fine-tune and the other is SDXL training; different code paths and failure contexts." + }, + { + "left": "issue:10518", + "right": "issue:7418", + "accept": false, + "reason": "One is a bug in an SD3 LoRA training example, the other is a community upscale pipeline line-level bug; unrelated features and failures." + }, + { + "left": "issue:1363", + "right": "issue:6176", + "accept": false, + "reason": "ONNX long-prompt scheduler error is unrelated to loading LoRA weights after DreamBooth training." + }, + { + "left": "issue:2941", + "right": "issue:3223", + "accept": false, + "reason": "EulerAncestral scheduler output quality issue is not the same as GPU RAM not being cleared after moving a pipeline to CUDA." + }, + { + "left": "issue:1263", + "right": "issue:7147", + "accept": false, + "reason": "Missing StableDiffusionSafetyChecker import and missing StableCascadeDecoderPipeline import are different API/export breakages." + }, + { + "left": "issue:10180", + "right": "issue:8956", + "accept": false, + "reason": "Flux Control LoRA multi-LoRA loading and OpenVINO SDXL model loading are different pipelines and different bugs." + }, + { + "left": "issue:10612", + "right": "issue:9953", + "accept": false, + "reason": "NF4-quantized Flux Fill LoRA loading error is not the same as moving a quantized pipeline to CUDA; distinct triggers and paths." + }, + { + "left": "issue:5897", + "right": "issue:7728", + "accept": false, + "reason": "Device mismatch while training a LoRA and an Accelerate error in an advanced DreamBooth LoRA script are different training setups." + }, + { + "left": "issue:12141", + "right": "issue:7666", + "accept": false, + "reason": "VAE dtype incompatibility in WanVACEPipeline is unrelated to from_single_file failing in a custom SDXL pipeline." + }, + { + "left": "issue:7263", + "right": "issue:7931", + "accept": false, + "reason": "IP-Adapter + attention slicing behavior and IP-Adapter embeds with ControlNet inpaint are separate interaction bugs." + }, + { + "left": "issue:4307", + "right": "issue:7591", + "accept": false, + "reason": "from_pretrained(local_files_only=True) and from_single_file(HeaderTooLarge) are different loading APIs with different failures." + }, + { + "left": "issue:6028", + "right": "issue:6956", + "accept": false, + "reason": "Two OOM reports, but on different models and deployment contexts: Kandinsky 3.0 versus Stable Video Diffusion on SageMaker." + }, + { + "left": "issue:1125", + "right": "issue:1896", + "accept": false, + "reason": "Stable Diffusion inpaint runtime error and CLIP-guided SD dict-size TypeError are unrelated errors." + }, + { + "left": "issue:499", + "right": "issue:7589", + "accept": false, + "reason": "Unconditional training script failure is not the same as GLIGEN layout-to-image not working." + }, + { + "left": "issue:4213", + "right": "issue:6218", + "accept": false, + "reason": "from_single_file requiring accelerate and batched seeds in ControlNet/Img2Img are unrelated feature bugs." + }, + { + "left": "issue:539", + "right": "issue:5798", + "accept": false, + "reason": "Unexpected allow_patterns argument in snapshot_download is unrelated to callback_on_step_end being unsupported in ControlNet." + }, + { + "left": "issue:2363", + "right": "issue:6689", + "accept": false, + "reason": "Both are conversion-related, but one is LoRA conversion and the other is SSD-1B checkpoint conversion; not the same converter bug." + }, + { + "left": "issue:8228", + "right": "issue:8359", + "accept": false, + "reason": "Both concern from_single_file, but one fails to load CLIPTextModel in 0.28.0 and the other affects custom checkpoints; different failure modes." + }, + { + "left": "issue:2851", + "right": "issue:3700", + "accept": false, + "reason": "TPU push_to_hub training issue and min_snr argument handling in a LoRA script are unrelated training concerns." + }, + { + "left": "issue:3221", + "right": "issue:7483", + "accept": false, + "reason": "load_attn_procs in v0.16.0 and LoRA-to-Diffusers conversion for SDXL are different LoRA workflows and bugs." + }, + { + "left": "issue:5917", + "right": "issue:6094", + "accept": false, + "reason": "Checkpoint conversion regression and TextToVideoZeroPipeline regression after upgrade are separate version-specific failures." + }, + { + "left": "issue:2991", + "right": "issue:9527", + "accept": false, + "reason": "ControlNet mixed-precision example failure and controlnet/mainpipe dtype mismatch are different precision issues in different pipelines." + }, + { + "left": "issue:4213", + "right": "issue:5857", + "accept": false, + "reason": "from_single_file/accelerate loading behavior is unrelated to LCM LoRA quality on AnimateDiff SDXL." + }, + { + "left": "issue:5465", + "right": "issue:9051", + "accept": false, + "reason": "DiffEdit inpaint_strength support and FluxPipeline batch inference are unrelated feature limitations." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 59, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10266", + "issue:10290", + "issue:10453", + "issue:10512", + "issue:10575", + "issue:1398", + "issue:1544", + "issue:1611", + "issue:170", + "issue:1717", + "issue:1925", + "issue:1931", + "issue:2163", + "issue:3015", + "issue:3124", + "issue:3537", + "issue:3585", + "issue:3631", + "issue:3802", + "issue:4368", + "issue:5128", + "issue:5798", + "issue:5846", + "issue:6092", + "issue:6159", + "issue:6218", + "issue:6230", + "issue:6382", + "issue:6548", + "issue:6602", + "issue:6741", + "issue:6858", + "issue:7057", + "issue:7229", + "issue:7263", + "issue:7483", + "issue:776", + "issue:7773", + "issue:7985", + "issue:8686", + "issue:9115", + "issue:9393", + "issue:9514", + "issue:9667", + "issue:9907", + "issue:993" + ], + "soft_pairs": [ + "issue:6382|issue:6602", + "issue:5128|issue:9667", + "issue:10512|issue:9514", + "issue:1931|issue:993", + "issue:776|issue:7773", + "issue:7263|issue:9115", + "issue:170|issue:5798", + "issue:6218|issue:8686", + "issue:10026|issue:9907", + "issue:1717|issue:7483", + "issue:3015|issue:3537", + "issue:4368|issue:6230", + "issue:6858|issue:7229", + "issue:10026|issue:3802", + "issue:1611|issue:3585", + "issue:6092|issue:9393", + "issue:2163|issue:5846", + "issue:1398|issue:1925", + "issue:1544|issue:6741", + "issue:10453|issue:6159", + "issue:10290|issue:7985", + "issue:10266|issue:10575", + "issue:3124|issue:7057", + "issue:3631|issue:6548" + ], + "prepared_review_unit_hash": "95fb8ea8eb408b2740c27ef2d37db8e1c364da8850dceb97333cc8b8f6493390", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33739, + "estimated_input_tokens": 8435, + "estimated_eval_tokens": 17126 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous and not a single duplicate set. The only strong duplicate-looking pairs are Stable Diffusion fp16 dtype mismatch (1931/993) and ControlNet conversion to original/CompVis format (3015/3537).", + "confidence": 0.84, + "canonical_issue_reason": "No single issue cleanly represents the whole mixed cluster; issue 1931 is the best duplicate anchor because it most clearly matches another item (993) on the same Stable Diffusion fp16 dtype-mismatch bug.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1931 is the strongest issue candidate because it is a concrete, reproducible bug report and has the clearest duplicate counterpart in 993.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6382", + "right": "issue:6602", + "accept": false, + "reason": "Both involve loading/saving flux or LoRA-adjacent models, but the concrete failures differ: IP-adapter key error after training vs pretrained load error after fuse/save." + }, + { + "left": "issue:5128", + "right": "issue:9667", + "accept": false, + "reason": "Both are loading problems, but one is XLPipeline.from_single_file with a local safetensors file and the other is Flux fp8 loading with a local transformer file." + }, + { + "left": "issue:10512", + "right": "issue:9514", + "accept": false, + "reason": "Both mention Flux LoRA loading after quantization, but they target different quantization paths and likely different failure points." + }, + { + "left": "issue:1931", + "right": "issue:993", + "accept": true, + "reason": "Both describe the same Stable Diffusion fp16 dtype mismatch/half-vs-float failure mode." + }, + { + "left": "issue:776", + "right": "issue:7773", + "accept": false, + "reason": "Both are batch-size bugs, but they affect different pipelines and do not describe the same concrete defect." + }, + { + "left": "issue:7263", + "right": "issue:9115", + "accept": false, + "reason": "Different features and failure modes: IP Adapter with attention slicing versus AnimateDiff-Lightning with an SDXL motion adapter." + }, + { + "left": "issue:170", + "right": "issue:5798", + "accept": false, + "reason": "Both are unexpected-keyword-argument errors, but they are different kwargs in different pipeline code paths." + }, + { + "left": "issue:6218", + "right": "issue:8686", + "accept": false, + "reason": "Both involve ControlNet-related pipeline behavior, but one is batched seeds and the other is an SDXL CFG cutoff callback issue." + }, + { + "left": "issue:10026", + "right": "issue:9907", + "accept": false, + "reason": "Both are Flux ControlNet training issues, but one is DeepSpeed memory reduction and the other is a sequence-length warning." + }, + { + "left": "issue:1717", + "right": "issue:7483", + "accept": false, + "reason": "Offline cache loading and LoRA-to-Diffusers conversion are unrelated bugs." + }, + { + "left": "issue:3015", + "right": "issue:3537", + "accept": true, + "reason": "Both ask for converting diffusers ControlNet artifacts into the original/CompVis ControlNet format." + }, + { + "left": "issue:4368", + "right": "issue:6230", + "accept": false, + "reason": "Both are OOM reports, but they come from different SDXL training scripts and different training setups." + }, + { + "left": "issue:6858", + "right": "issue:7229", + "accept": false, + "reason": "A ControlNet data-loading AttributeError and a checkpoint-saving issue are different problems." + }, + { + "left": "issue:1611", + "right": "issue:3585", + "accept": false, + "reason": "A broken pipeline load in v0.6.0 and a failed LoRA-synthesized model use are not the same underlying bug." + }, + { + "left": "issue:6092", + "right": "issue:9393", + "accept": false, + "reason": "Different symptoms and code paths: a LoRA example not training versus Flux1 Dreambooth LoRA save failure under DeepSpeed." + }, + { + "left": "issue:2163", + "right": "issue:5846", + "accept": false, + "reason": "These are different training-example failures: UNet dtype mismatch versus resume-from-checkpoint error." + }, + { + "left": "issue:1398", + "right": "issue:1925", + "accept": false, + "reason": "Apple Silicon/MPS support and Stable Diffusion 2 inpainting half-precision behavior are separate issues." + }, + { + "left": "issue:1544", + "right": "issue:6741", + "accept": false, + "reason": "A missing scheduler method in stable-diffusion-2 and a missing CLI namespace attribute in Diffusion DPO are unrelated." + }, + { + "left": "issue:10453", + "right": "issue:6159", + "accept": false, + "reason": "Different unsupported behaviors: Hunyuan Video batch-size limitation versus SDXL ControlNet denoising_end support." + }, + { + "left": "issue:10290", + "right": "issue:7985", + "accept": false, + "reason": "Both mention torch.compile, but they affect different components (Flux ControlNet transformer vs IPAdapter) and are not the same bug." + }, + { + "left": "issue:10266", + "right": "issue:10575", + "accept": false, + "reason": "Both are index-out-of-bounds scheduler errors, but they involve different schedulers and likely different indexing bugs." + }, + { + "left": "issue:3124", + "right": "issue:7057", + "accept": false, + "reason": "A generic model-conversion failure and a checkpoint-specific failure are not the same concrete issue." + }, + { + "left": "issue:3631", + "right": "issue:6548", + "accept": false, + "reason": "Both touch prepare_latents/inpainting-style code, but one is an exception when passing latents and the other is RGBA image input being misclassified as latents." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative about the cluster being mostly heterogeneous. The two accepted soft-edge pairs are well supported by the issue titles and descriptions: 1931/993 clearly share the fp16 dtype-mismatch bug, and 3015/3537 both request ControlNet conversion from diffusers to original/CompVis format. The remaining rejections are appropriately cautious and do not overstate similarity." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 60, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10470", + "issue:10612", + "issue:10743", + "issue:10989", + "issue:11127", + "issue:1214", + "issue:1925", + "issue:1946", + "issue:2044", + "issue:2288", + "issue:2363", + "issue:2459", + "issue:2578", + "issue:2806", + "issue:2856", + "issue:2904", + "issue:3224", + "issue:3420", + "issue:3651", + "issue:3803", + "issue:4101", + "issue:4134", + "issue:4405", + "issue:4419", + "issue:4880", + "issue:5226", + "issue:5621", + "issue:5963", + "issue:5992", + "issue:6069", + "issue:6093", + "issue:6112", + "issue:7056", + "issue:7082", + "issue:7146", + "issue:7589", + "issue:7891", + "issue:817", + "issue:8613", + "issue:8686", + "issue:8826", + "issue:9055", + "issue:9089", + "issue:9092", + "issue:9450", + "issue:9514", + "issue:9803" + ], + "soft_pairs": [ + "issue:7056|issue:7146", + "issue:2856|issue:4101", + "issue:3651|issue:3803", + "issue:1214|issue:2578", + "issue:7082|issue:9055", + "issue:1946|issue:8613", + "issue:10026|issue:10743", + "issue:5226|issue:8686", + "issue:2363|issue:2856", + "issue:2578|issue:7589", + "issue:10470|issue:11127", + "issue:10612|issue:9803", + "issue:2806|issue:2904", + "issue:4134|issue:5621", + "issue:10989|issue:9514", + "issue:2288|issue:4405", + "issue:3224|issue:6093", + "issue:9089|issue:9092", + "issue:7891|issue:9450", + "issue:5963|issue:6069", + "issue:4880|issue:8826", + "issue:1925|issue:817", + "issue:2459|issue:3420", + "issue:4419|issue:6112", + "issue:2044|issue:5992" + ], + "prepared_review_unit_hash": "4b07dd0fb6215e407bf8f71d88dabdc0b626f6f786255ca74073bc0b735b43ae", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34294, + "estimated_input_tokens": 8574, + "estimated_eval_tokens": 17404 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a loose Flux/diffusers issue cluster spanning training, loading, quantization, and precision bugs. Most pairs are only superficially similar; only a couple look like true duplicates around FLUX ZeRO-3 training and FLUX multi-GPU device-mismatch.", + "confidence": 0.66, + "canonical_issue_reason": "Issue 9803 is the broadest and most representative Flux LoRA-loading report in this set, so it\u2019s the best cluster anchor for the Flux-loading subgroup.", + "canonical_pr_reason": null, + "best_issue_reason": "9803 is the most general, user-facing Flux loading failure here and best captures the recurring Flux LoRA-loading theme among the issues.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7056", + "right": "issue:7146", + "accept": false, + "reason": "Both are SDXL training errors, but one is a train_text_encoder failure and the other is CUDA OOM; different bugs." + }, + { + "left": "issue:2856", + "right": "issue:4101", + "accept": false, + "reason": "Both are conversion failures, but one is SD model conversion and the other is ControlNet conversion; not the same code path." + }, + { + "left": "issue:3651", + "right": "issue:3803", + "accept": false, + "reason": "Both mention multi-GPU training, but Dreambooth vs LoRA and different failure modes make them distinct." + }, + { + "left": "issue:1214", + "right": "issue:2578", + "accept": false, + "reason": "Half-precision CLIPTextModel failure is unrelated to editable-install issues." + }, + { + "left": "issue:7082", + "right": "issue:9055", + "accept": false, + "reason": "Both are import errors, but for different symbols and different modules; not a shared defect." + }, + { + "left": "issue:1946", + "right": "issue:8613", + "accept": false, + "reason": "xformers CUDA invalid-argument and caption-column OOM are unrelated." + }, + { + "left": "issue:10026", + "right": "issue:10743", + "accept": true, + "reason": "Both are FLUX training / DeepSpeed ZeRO-3 issues about training memory/support; same underlying missing ZeRO-3 behavior." + }, + { + "left": "issue:5226", + "right": "issue:8686", + "accept": false, + "reason": "Different SDXL pipeline extension failures; no shared concrete bug path." + }, + { + "left": "issue:2363", + "right": "issue:2856", + "accept": false, + "reason": "Both are conversion-related, but LoRA conversion and full SD model conversion are distinct." + }, + { + "left": "issue:2578", + "right": "issue:7589", + "accept": false, + "reason": "Editable install and GLIGEN runtime problems are unrelated." + }, + { + "left": "issue:10470", + "right": "issue:11127", + "accept": false, + "reason": "Both are Flux inference failures, but torchao inference and single-file CivitAI loading are different problems." + }, + { + "left": "issue:10612", + "right": "issue:9803", + "accept": false, + "reason": "Both involve Flux LoRA loading, but one is NF4-quantized Flux Fill and the other is a general loading failure; too broad to treat as the same bug." + }, + { + "left": "issue:2806", + "right": "issue:2904", + "accept": false, + "reason": "Pipeline printing/customization and AudioLDM scheduler initialization are unrelated." + }, + { + "left": "issue:4134", + "right": "issue:5621", + "accept": false, + "reason": "Both are ControlNet issues, but MPS tensor mismatch and missing encoder_hid_proj support are different defects." + }, + { + "left": "issue:10989", + "right": "issue:9514", + "accept": false, + "reason": "Both are Flux LoRA load problems, but quantized-transformers loading vs fp8 quantization are different failure paths." + }, + { + "left": "issue:2288", + "right": "issue:4405", + "accept": false, + "reason": "They are both example-script requests, not the same feature or bug." + }, + { + "left": "issue:3224", + "right": "issue:6093", + "accept": false, + "reason": "Dreambooth LR scaling duplication and push_to_hub repo creation are unrelated script issues." + }, + { + "left": "issue:9089", + "right": "issue:9092", + "accept": false, + "reason": "Both mention FluxPipeline, but one is missing the class and the other is missing model_index.json; different loading problems." + }, + { + "left": "issue:7891", + "right": "issue:9450", + "accept": true, + "reason": "Both report the same FluxPipeline multi-GPU device-mismatch symptom ('Expected all tensors to be on the same device')." + }, + { + "left": "issue:5963", + "right": "issue:6069", + "accept": false, + "reason": "Kandinsky embeds-vs-prompts failure is unrelated to DPM++ add_noise at t=0." + }, + { + "left": "issue:4880", + "right": "issue:8826", + "accept": false, + "reason": "ControlNet image-type validation and empty torch.cat are different runtime errors." + }, + { + "left": "issue:1925", + "right": "issue:817", + "accept": false, + "reason": "Both are precision-related, but different models and contexts; not the same underlying bug." + }, + { + "left": "issue:2459", + "right": "issue:3420", + "accept": false, + "reason": "xformers training-script bug and ControlNet inpaint pipeline issue are unrelated." + }, + { + "left": "issue:4419", + "right": "issue:6112", + "accept": false, + "reason": "Offset-noise inference mismatch and sdxl-turbo noisy output are not the same defect." + }, + { + "left": "issue:2044", + "right": "issue:5992", + "accept": false, + "reason": "DistributedDataParallel dtype attribute error and llm_guided_diffusion bool introspection error are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft edges. The two accepted pairs (10026/10743 and 7891/9450) are plausibly same-bug clusters, while the rest are appropriately treated as distinct or only superficially similar. The Flux anchor choice around 9803 is also reasonable given the set." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 61, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10226", + "issue:10472", + "issue:10591", + "issue:10612", + "issue:11014", + "issue:11046", + "issue:11088", + "issue:11374", + "issue:11581", + "issue:12085", + "issue:12529", + "issue:12666", + "issue:13258", + "issue:2518", + "issue:2669", + "issue:2891", + "issue:3224", + "issue:3325", + "issue:3645", + "issue:4061", + "issue:4368", + "issue:4756", + "issue:4868", + "issue:4932", + "issue:5059", + "issue:5224", + "issue:5226", + "issue:5466", + "issue:5524", + "issue:5577", + "issue:5894", + "issue:5992", + "issue:6082", + "issue:6158", + "issue:6427", + "issue:6758", + "issue:7293", + "issue:7690", + "issue:771", + "issue:7891", + "issue:8465", + "issue:8614", + "issue:8708", + "issue:8726", + "issue:8956", + "issue:9505", + "issue:9667" + ], + "soft_pairs": [ + "issue:2669|issue:5992", + "issue:10472|issue:5224", + "issue:11374|issue:6158", + "issue:12666|issue:13258", + "issue:4061|issue:5466", + "issue:4932|issue:771", + "issue:5226|issue:6427", + "issue:7690|issue:8956", + "issue:8708|issue:8726", + "issue:10226|issue:12529", + "issue:11046|issue:11581", + "issue:5577|issue:9505", + "issue:2891|issue:6758", + "issue:8465|issue:8614", + "issue:6158|issue:7293", + "issue:3325|issue:5894", + "issue:6082|issue:7891", + "issue:4868|issue:5524", + "issue:11014|issue:4368", + "issue:10591|issue:3224", + "issue:2518|issue:4756", + "issue:10612|issue:9667", + "issue:3645|issue:5059", + "issue:11088|issue:12085" + ], + "prepared_review_unit_hash": "1dc09559dedce8617ddf53f97dd64e761b30880a1adf8dae601147b526eb08db", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33554, + "estimated_input_tokens": 8389, + "estimated_eval_tokens": 17034 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly unrelated issue reports that only share broad model-family or error-symptom keywords. None of the soft-edge pairs look like the same underlying bug or change, so all should be rejected.", + "confidence": 0.92, + "canonical_issue_reason": "No single canonical issue stands out: the items cover different models, pipelines, and failure modes, so they are not true duplicates of one bug.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11581 is the most concrete and actionable report, with a specific FLUX/IP-Adapter traceback and clear reproduction context.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2669", + "right": "issue:5992", + "accept": false, + "reason": "Both are AttributeErrors, but they affect different code paths and root causes; not the same bug." + }, + { + "left": "issue:10472", + "right": "issue:5224", + "accept": false, + "reason": "Different failures: unexpected lora_bias kwarg vs a Flax SD2.1 load error." + }, + { + "left": "issue:11374", + "right": "issue:6158", + "accept": false, + "reason": "Both are feature requests, but for unrelated pipelines/models and different integrations." + }, + { + "left": "issue:12666", + "right": "issue:13258", + "accept": false, + "reason": "Different video models and missing pipeline support; same general theme but not one concrete issue." + }, + { + "left": "issue:4061", + "right": "issue:5466", + "accept": false, + "reason": "Both involve LoRA loading, but on different SDXL pipelines with different shape-mismatch contexts." + }, + { + "left": "issue:4932", + "right": "issue:771", + "accept": false, + "reason": "Unrelated Dreambooth issues: missing output file vs BF16 support." + }, + { + "left": "issue:5226", + "right": "issue:6427", + "accept": false, + "reason": "Adapter/LoRA loading bug versus model-to-ckpt conversion bug; different code paths." + }, + { + "left": "issue:7690", + "right": "issue:8956", + "accept": false, + "reason": "Different loading failures for different pipelines/models, not the same underlying defect." + }, + { + "left": "issue:8708", + "right": "issue:8726", + "accept": false, + "reason": "Related to SD3 training, but the missing shift_factor and text encoder errors are distinct problems." + }, + { + "left": "issue:10226", + "right": "issue:12529", + "accept": false, + "reason": "Different model families and different tensor mismatch failures." + }, + { + "left": "issue:11046", + "right": "issue:11581", + "accept": false, + "reason": "Both mention FLUX and IP-Adapter, but one is an inference integration scenario and the other is a specific constructor kwarg error." + }, + { + "left": "issue:5577", + "right": "issue:9505", + "accept": false, + "reason": "Both are KeyError-like load failures, but they affect different model loaders and missing weights." + }, + { + "left": "issue:2891", + "right": "issue:6758", + "accept": false, + "reason": "One is a docs/support mismatch, the other is an unsupported parameter on a different pipeline." + }, + { + "left": "issue:8465", + "right": "issue:8614", + "accept": false, + "reason": "Both mention missing config.json, but they involve different loaders and different model types." + }, + { + "left": "issue:6158", + "right": "issue:7293", + "accept": false, + "reason": "Different feature requests for different pipelines/models." + }, + { + "left": "issue:3325", + "right": "issue:5894", + "accept": false, + "reason": "Both are training runtime errors, but the reported failures and likely causes are unrelated." + }, + { + "left": "issue:6082", + "right": "issue:7891", + "accept": false, + "reason": "Different runtime errors: dtype mismatch versus device mismatch." + }, + { + "left": "issue:4868", + "right": "issue:5524", + "accept": false, + "reason": "Different AttributeErrors on different objects and code paths." + }, + { + "left": "issue:11014", + "right": "issue:4368", + "accept": false, + "reason": "Both are OOM reports, but in different training scenarios and not the same bug." + }, + { + "left": "issue:10591", + "right": "issue:3224", + "accept": false, + "reason": "Different Dreambooth/LoRA script issues with unrelated root causes." + }, + { + "left": "issue:2518", + "right": "issue:4756", + "accept": false, + "reason": "Different training-script requests: xformers support versus SDXL training-style support." + }, + { + "left": "issue:10612", + "right": "issue:9667", + "accept": false, + "reason": "Both involve FLUX loading, but one is a quantized LoRA fill pipeline error and the other is an fp8 local transformer loader issue." + }, + { + "left": "issue:3645", + "right": "issue:5059", + "accept": false, + "reason": "Different training/finetuning requests for different model setups." + }, + { + "left": "issue:11088", + "right": "issue:12085", + "accept": false, + "reason": "Both are Wan gguf load errors, but they hit different model classes and likely different loaders." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 62, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10055", + "issue:1033", + "issue:10573", + "issue:10705", + "issue:10866", + "issue:11160", + "issue:11169", + "issue:1125", + "issue:11436", + "issue:12499", + "issue:13249", + "issue:1572", + "issue:1604", + "issue:234", + "issue:2459", + "issue:2806", + "issue:2819", + "issue:304", + "issue:3420", + "issue:3582", + "issue:4000", + "issue:4104", + "issue:4118", + "issue:4198", + "issue:4229", + "issue:4557", + "issue:5016", + "issue:5447", + "issue:5524", + "issue:5563", + "issue:5619", + "issue:5749", + "issue:6107", + "issue:6280", + "issue:6353", + "issue:6446", + "issue:6697", + "issue:7681", + "issue:7728", + "issue:7960", + "issue:8405", + "issue:9044", + "issue:9156", + "issue:9237", + "issue:9239", + "issue:9501", + "issue:9630", + "issue:9895" + ], + "soft_pairs": [ + "issue:4000|issue:9044", + "issue:11436|issue:4198", + "issue:6353|issue:6697", + "issue:4104|issue:9239", + "issue:11169|issue:7681", + "issue:1125|issue:234", + "issue:10705|issue:9895", + "issue:10573|issue:8405", + "issue:10866|issue:13249", + "issue:11160|issue:12499", + "issue:1572|issue:234", + "issue:6107|issue:6446", + "issue:3582|issue:5447", + "issue:10055|issue:9501", + "issue:7960|issue:9630", + "issue:304|issue:7681", + "issue:5016|issue:5563", + "issue:4118|issue:6280", + "issue:1033|issue:5749", + "issue:4557|issue:5524", + "issue:9156|issue:9237", + "issue:4229|issue:7728", + "issue:1604|issue:2819", + "issue:2459|issue:5619", + "issue:2806|issue:3420" + ], + "prepared_review_unit_hash": "bffcbfb82c902eac04c3c3ccf0f03f89da54bba3987fd859b1254f48f05d1ea8", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34986, + "estimated_input_tokens": 8747, + "estimated_eval_tokens": 17750 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab-bag of unrelated diffusers issues: model loading/import failures, dtype/device mismatches, OOM, shape/index errors, and various training-script bugs across different pipelines and model families. None of the soft pairs look like the same underlying bug, so they should stay separate.", + "confidence": 0.92, + "canonical_issue_reason": "Issue 9237 is the best representative of the Flux-related subgroup: it is broad, detailed, and sits closest to other Flux training complaints (9156, 9501, 9895), with enough discussion to anchor the cluster if one issue must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9237 is the strongest single issue to represent the cluster because it is high-signal, well-discussed, and covers the most central recurring theme among the Flux training reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4000", + "right": "issue:9044", + "accept": false, + "reason": "Both are loading-related, but one is ckpt-to-diffusers conversion and the other is a missing SDXL weight file; different problems and fixes." + }, + { + "left": "issue:11436", + "right": "issue:4198", + "accept": false, + "reason": "Similar dtype-mismatch symptom, but different model/pipeline context and error source; not the same concrete bug." + }, + { + "left": "issue:6353", + "right": "issue:6697", + "accept": false, + "reason": "Training-example failure for SDXL ControlNet versus plain SDXL LoRA OOM; different failure modes." + }, + { + "left": "issue:4104", + "right": "issue:9239", + "accept": false, + "reason": "Both mention black images, but the reported triggers differ (`invalid value encountered in cast` vs ControlNet-Canny output); not clearly one bug." + }, + { + "left": "issue:11169", + "right": "issue:7681", + "accept": false, + "reason": "Both are import failures, but one is numpy binary incompatibility and the other is an OpenSSL/lib symbol issue; unrelated root causes." + }, + { + "left": "issue:1125", + "right": "issue:234", + "accept": false, + "reason": "Same legacy pipeline family, but one is a runtime error in inpaint and the other is a half-precision failure; different concrete issues." + }, + { + "left": "issue:10705", + "right": "issue:9895", + "accept": false, + "reason": "One is a performance regression from reusing FluxPipeline, the other is a device placement error after a commit; not mergeable as one fix." + }, + { + "left": "issue:10573", + "right": "issue:8405", + "accept": false, + "reason": "Both involve multiple ControlNets, but one is padding_mask_crop handling and the other is tensor size mismatch; different code paths." + }, + { + "left": "issue:10866", + "right": "issue:13249", + "accept": false, + "reason": "Different model families and different LoRA compatibility problems; only a broad thematic overlap." + }, + { + "left": "issue:11160", + "right": "issue:12499", + "accept": false, + "reason": "Both are WAN issues, but one is inconsistent inference in 2.1 and the other is a 2.2 condition-shape mismatch; distinct bugs." + }, + { + "left": "issue:1572", + "right": "issue:234", + "accept": false, + "reason": "Same pipeline lineage, but one is img2img/inpainting failure and the other is half-precision; not the same underlying defect." + }, + { + "left": "issue:6107", + "right": "issue:6446", + "accept": false, + "reason": "Environment/loading complaints, but on different models and scenarios (IP-Adapter on EC2 vs SD2-1 minimal loading on Colab)." + }, + { + "left": "issue:3582", + "right": "issue:5447", + "accept": false, + "reason": "Both affect control/denoising behavior, but one is ControlNet inpaint strength and the other is SDXL img2img with 2nd-order schedulers; too different." + }, + { + "left": "issue:10055", + "right": "issue:9501", + "accept": false, + "reason": "Both are training-related, but SD3 ControlNet script failure and Flux training save-delay are different problems." + }, + { + "left": "issue:7960", + "right": "issue:9630", + "accept": false, + "reason": "Both mention multi-GPU/Flux training, but the specific failures differ: SDXL training failure vs num_single_layers=0 on a single GPU setup." + }, + { + "left": "issue:304", + "right": "issue:7681", + "accept": false, + "reason": "Both are import issues, but they affect different dependencies and have different root causes." + }, + { + "left": "issue:5016", + "right": "issue:5563", + "accept": false, + "reason": "One is a specific inability to train text encoders in an SDXL LoRA script; the other is a broader report of multiple SDXL DreamBooth LoRA errors." + }, + { + "left": "issue:4118", + "right": "issue:6280", + "accept": false, + "reason": "Both mention from_single_file, but they are different missing APIs on different classes/pipelines; not clearly one fix." + }, + { + "left": "issue:1033", + "right": "issue:5749", + "accept": false, + "reason": "Both are index errors, but the reported indices and pipelines differ; no evidence of the same bug." + }, + { + "left": "issue:4557", + "right": "issue:5524", + "accept": false, + "reason": "Different attribute errors on different objects (`super.__getattr__` vs missing `lora_layer`); unrelated." + }, + { + "left": "issue:9156", + "right": "issue:9237", + "accept": false, + "reason": "Both are Flux LoRA training issues, but one is an OOM and the other is a broader training/reporting issue; not the same concrete bug." + }, + { + "left": "issue:4229", + "right": "issue:7728", + "accept": false, + "reason": "Both involve accelerated training, but they are different scripts and error conditions, so they should not be merged." + }, + { + "left": "issue:1604", + "right": "issue:2819", + "accept": false, + "reason": "One is a code regression in lpw_stable_diffusion.py, the other is a network/download failure fetching that file; different causes." + }, + { + "left": "issue:2459", + "right": "issue:5619", + "accept": false, + "reason": "Completely different features: xformers enablement in a training script versus AutoencodeTiny LCM img2img encoding." + }, + { + "left": "issue:2806", + "right": "issue:3420", + "accept": false, + "reason": "Different pipeline behavior problems: customized pipelines not being printed vs ControlNetInpaintPipeline incompatibility with Diffusion pipeline." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 63, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11117", + "issue:12157", + "issue:12195", + "issue:13053", + "issue:1363", + "issue:1434", + "issue:1572", + "issue:1604", + "issue:1875", + "issue:1931", + "issue:2185", + "issue:2616", + "issue:3032", + "issue:3174", + "issue:3348", + "issue:3411", + "issue:3450", + "issue:3574", + "issue:3660", + "issue:3816", + "issue:4256", + "issue:4398", + "issue:487", + "issue:5014", + "issue:5447", + "issue:5510", + "issue:5577", + "issue:5678", + "issue:5860", + "issue:6158", + "issue:6176", + "issue:6218", + "issue:6298", + "issue:639", + "issue:6879", + "issue:6967", + "issue:720", + "issue:7347", + "issue:7589", + "issue:7985", + "issue:8613", + "issue:8729", + "issue:9179", + "issue:9180", + "issue:9516", + "issue:9527", + "issue:9556", + "issue:9902" + ], + "soft_pairs": [ + "issue:5510|issue:720", + "issue:3174|issue:4398", + "issue:1572|issue:6218", + "issue:11117|issue:6879", + "issue:1363|issue:9527", + "issue:1604|issue:5577", + "issue:3411|issue:5014", + "issue:4256|issue:6967", + "issue:12195|issue:9902", + "issue:5447|issue:5860", + "issue:3816|issue:9180", + "issue:6176|issue:7347", + "issue:487|issue:7589", + "issue:5678|issue:6298", + "issue:3450|issue:3574", + "issue:3660|issue:7985", + "issue:12157|issue:2185", + "issue:1875|issue:1931", + "issue:13053|issue:6158", + "issue:1434|issue:8613", + "issue:2616|issue:3032", + "issue:639|issue:9516", + "issue:8729|issue:9179", + "issue:3348|issue:9556" + ], + "prepared_review_unit_hash": "b0bf6bc643edab6b113a3b0f8bec5cad672779c542ab2ef52f9af82424a27b77", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34220, + "estimated_input_tokens": 8555, + "estimated_eval_tokens": 17366 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are only superficially similar: many mention dtype, LoRA, ControlNet, or training failures, but each points to a different pipeline, script, or code path. No soft pair looks like a true duplicate, so the cluster should not be merged aggressively.", + "confidence": 0.82, + "canonical_issue_reason": "issue:9527 is the clearest concrete bug report in the set: a specific dtype mismatch in a named ControlNet/main pipeline combination, with a focused runtime failure and actionable scope.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9527 is the best representative issue because it is specific, reproducible, and clearly framed as a single bug rather than a broad feature or vague regression.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5510", + "right": "issue:720", + "accept": false, + "reason": "Both are half/float mismatch errors, but they affect different pipelines and code paths (SDXL InstructPix2Pix vs traced UNet docs example)." + }, + { + "left": "issue:3174", + "right": "issue:4398", + "accept": false, + "reason": "Both involve LoRA/dreambooth, but one is a loading regression and the other is black-image generation in an SDXL LoRA pipeline; not the same bug." + }, + { + "left": "issue:1572", + "right": "issue:6218", + "accept": false, + "reason": "Different failures in different pipelines: img2img/inpainting incompatibility versus batched seed behavior in ControlNet/Img2Img." + }, + { + "left": "issue:11117", + "right": "issue:6879", + "accept": false, + "reason": "Both are dtype-related, but they are separate model/training paths with different failing operations and error types." + }, + { + "left": "issue:1363", + "right": "issue:9527", + "accept": false, + "reason": "ONNX long-prompt/LMS scheduler error is unrelated to ControlNet fp32 vs bf16 dtype mismatch." + }, + { + "left": "issue:1604", + "right": "issue:5577", + "accept": false, + "reason": "Different subsystems and failures: an LPW script regression in diffusers 0.9.0 versus a from_single_file ControlNet key error." + }, + { + "left": "issue:3411", + "right": "issue:5014", + "accept": false, + "reason": "One is a test case for DreamBooth-LoRA text encoder coverage; the other is an issue about poor training results. Not the same bug." + }, + { + "left": "issue:4256", + "right": "issue:6967", + "accept": false, + "reason": "Both concern SDXL training, but one is a generic DreamBooth error and the other is a prior-preservation shape mismatch in an advanced LoRA script." + }, + { + "left": "issue:12195", + "right": "issue:9902", + "accept": false, + "reason": "AutoencoderKL/PyTorch custom_op failure is unrelated to a conda version pinning/stuck-version report." + }, + { + "left": "issue:5447", + "right": "issue:5860", + "accept": false, + "reason": "One is a scheduler/denoising_start bug in SDXL img2img; the other is a Tiny Autoencoder + ControlNet pipeline failure." + }, + { + "left": "issue:3816", + "right": "issue:9180", + "accept": false, + "reason": "Missing CLIPImageProcessor and missing _execution_device are distinct runtime issues in different parts of the library." + }, + { + "left": "issue:6176", + "right": "issue:7347", + "accept": false, + "reason": "Both mention LoRA training/loading, but they describe different breakages and do not indicate the same underlying defect." + }, + { + "left": "issue:487", + "right": "issue:7589", + "accept": false, + "reason": "M1 CPU support and GLIGEN layout-to-image are unrelated pipeline capabilities and failures." + }, + { + "left": "issue:5678", + "right": "issue:6298", + "accept": false, + "reason": "Higher-order autograd with scaled_dot_product_attention is unrelated to a CLIPImageProjection attribute error in GLIGEN." + }, + { + "left": "issue:3450", + "right": "issue:3574", + "accept": false, + "reason": "Both mention from_ckpt, but one is a dev-version regression and the other is a Windows-specific failure; likely different causes." + }, + { + "left": "issue:3660", + "right": "issue:7985", + "accept": false, + "reason": "Both are torch.compile compatibility complaints, but they target different components (LoRA/xformers vs IPAdapter) and are not the same concrete bug." + }, + { + "left": "issue:12157", + "right": "issue:2185", + "accept": false, + "reason": "A torch.device iteration error during Qwen-Image bnb quantized training is unrelated to missing config files for naive text-to-image training." + }, + { + "left": "issue:1875", + "right": "issue:1931", + "accept": false, + "reason": "Both are fp16/float dtype mismatches, but they affect different training pipelines and error sites; too broad to treat as one bug." + }, + { + "left": "issue:13053", + "right": "issue:6158", + "accept": false, + "reason": "These are separate feature requests for different pipelines (Unipic 3.0 vs SDXL animatediff)." + }, + { + "left": "issue:1434", + "right": "issue:8613", + "accept": false, + "reason": "Both mention OOM, but one is image upscaling memory blowup and the other is caption-column training OOM; not the same issue." + }, + { + "left": "issue:2616", + "right": "issue:3032", + "accept": false, + "reason": "Different attribute errors in different flows: save_attn_procs serialization versus missing from_pretrained on a pipeline class." + }, + { + "left": "issue:639", + "right": "issue:9516", + "accept": false, + "reason": "Parameter initialization mismatch is unrelated to FLUX joint_attention_kwargs not being forwarded." + }, + { + "left": "issue:8729", + "right": "issue:9179", + "accept": false, + "reason": "Both involve SDXL ControlNet training, but one is about unexpected validation images and the other about nonsensical training results; not the same defect." + }, + { + "left": "issue:3348", + "right": "issue:9556", + "accept": false, + "reason": "Both are LoRA-related, but one is about xformers scale support and the other about saved models under rslora." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 64, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10026", + "issue:10198", + "issue:10712", + "issue:11041", + "issue:11088", + "issue:11907", + "issue:12078", + "issue:12141", + "issue:1407", + "issue:1572", + "issue:1946", + "issue:1988", + "issue:2361", + "issue:3619", + "issue:4256", + "issue:4724", + "issue:4728", + "issue:4752", + "issue:5012", + "issue:5075", + "issue:5246", + "issue:5374", + "issue:5433", + "issue:5475", + "issue:5504", + "issue:5577", + "issue:5593", + "issue:5619", + "issue:5760", + "issue:579", + "issue:6351", + "issue:6610", + "issue:6869", + "issue:6894", + "issue:7133", + "issue:7333", + "issue:7735", + "issue:7864", + "issue:7935", + "issue:7960", + "issue:8494", + "issue:9047", + "issue:9067", + "issue:9112", + "issue:9546", + "issue:9576", + "issue:9857" + ], + "soft_pairs": [ + "issue:5593|issue:9576", + "issue:5504|issue:6894", + "issue:9112|issue:9857", + "issue:10026|issue:7960", + "issue:10010|issue:10198", + "issue:12078|issue:9546", + "issue:5075|issue:5433", + "issue:12141|issue:5619", + "issue:4724|issue:5577", + "issue:5012|issue:7735", + "issue:5246|issue:9067", + "issue:579|issue:7935", + "issue:5475|issue:5760", + "issue:6351|issue:6610", + "issue:5374|issue:8494", + "issue:11041|issue:11088", + "issue:1572|issue:3619", + "issue:4256|issue:7133", + "issue:2361|issue:4728", + "issue:11907|issue:9047", + "issue:1988|issue:4752", + "issue:10712|issue:1946", + "issue:1407|issue:6869", + "issue:7333|issue:7864" + ], + "prepared_review_unit_hash": "d1fed8e997ca0d94fb39cd2227cd586a6b97218d5d728e74f83dc195d9b996bb", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34418, + "estimated_input_tokens": 8605, + "estimated_eval_tokens": 17466 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated model- or pipeline-specific issues (Flux, SDXL, Wan, StableDiffusion3, etc.) that only share generic failure wording. No soft pair looks like the same underlying bug/change, so none should be merged as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5593", + "right": "issue:9576", + "accept": false, + "reason": "Different problems in different paths: AutoPipeline ControlNet conversion vs. pipeline loading not passing use_safetensors." + }, + { + "left": "issue:5504", + "right": "issue:6894", + "accept": false, + "reason": "Both mention LoRA/xformers, but one is PEFT+xformers compatibility and the other is SDXL Dreambooth LoRA behavior in A1111." + }, + { + "left": "issue:9112", + "right": "issue:9857", + "accept": false, + "reason": "Different models and errors: Auraflow tensor shape mismatch vs. Flux ControlNet embedding size mismatch." + }, + { + "left": "issue:10026", + "right": "issue:7960", + "accept": false, + "reason": "Both are multi-GPU training issues, but one is Flux ControlNet DeepSpeed memory behavior and the other is SDXL training failing on multi-GPU." + }, + { + "left": "issue:10010", + "right": "issue:10198", + "accept": false, + "reason": "Different Flux bugs: missing FLUX Fill model_index.json vs. Flux.1-dev weight mismatch." + }, + { + "left": "issue:12078", + "right": "issue:9546", + "accept": false, + "reason": "Both involve Flux ControlNet training, but one is validation input/example data and the other is out-of-memory during validation." + }, + { + "left": "issue:5075", + "right": "issue:5433", + "accept": false, + "reason": "Both are SDXL-related shape/artifact issues, but one is prompt-embed dimension mismatch in refiner and the other is DPM++ visual artifacts without refiner." + }, + { + "left": "issue:12141", + "right": "issue:5619", + "accept": false, + "reason": "Different pipelines and root causes: WanVACE VAE dtype compatibility vs. AutoencodeTiny img2img encoding behavior." + }, + { + "left": "issue:4724", + "right": "issue:5577", + "accept": false, + "reason": "Different features and failures: SDXL img2img checkpoint behavior vs. ControlNet single-file loading key error." + }, + { + "left": "issue:5012", + "right": "issue:7735", + "accept": false, + "reason": "LoRA text-encoder training vs. dataset caption-column validation; unrelated causes." + }, + { + "left": "issue:5246", + "right": "issue:9067", + "accept": false, + "reason": "Different import/version issues: missing CLIPImageProjection vs. missing diffusers.hub_utils module." + }, + { + "left": "issue:579", + "right": "issue:7935", + "accept": false, + "reason": "Both mention missing config files, but one is textual inversion config.json and the other is stable-diffusion-2-1 model config.json loading." + }, + { + "left": "issue:5475", + "right": "issue:5760", + "accept": false, + "reason": "Completely different video-generation research topics; not the same bug or change." + }, + { + "left": "issue:6351", + "right": "issue:6610", + "accept": false, + "reason": "Different resume/training adapter issue vs. from_single_file inpaint channel-config behavior." + }, + { + "left": "issue:5374", + "right": "issue:8494", + "accept": false, + "reason": "Different unexpected-argument errors in different code paths: checkpoint_path vs. force_hooks." + }, + { + "left": "issue:11041", + "right": "issue:11088", + "accept": false, + "reason": "Both are WAN2.1 issues, but one is apply_group_offloading failure and the other is GGUF load error." + }, + { + "left": "issue:1572", + "right": "issue:3619", + "accept": false, + "reason": "Both are older pipeline failures, but one is stable_diffusion_mega img2img/inpainting and the other is Text2Video-Zero CrossFrameAttention." + }, + { + "left": "issue:4256", + "right": "issue:7133", + "accept": false, + "reason": "Both concern training, but one is SDXL Dreambooth and the other is SDXL Dreambooth LoRA checkpoint resume text-encoder mismatch." + }, + { + "left": "issue:2361", + "right": "issue:4728", + "accept": false, + "reason": "Both mention training/checkpointing, but one is checkpoint save crash and the other is resume_from_checkpoint OOM." + }, + { + "left": "issue:11907", + "right": "issue:9047", + "accept": false, + "reason": "Different Flux scheduler/device problems: scheduler incompatibility vs. MPS device support." + }, + { + "left": "issue:1988", + "right": "issue:4752", + "accept": false, + "reason": "Very similar fp16/bf16 mismatch wording, but one is trainer example generation and the other is SDXL pipeline input/bias mismatch." + }, + { + "left": "issue:10712", + "right": "issue:1946", + "accept": false, + "reason": "Different runtime errors in different subsystems: SD3 prompt_embeds crash vs. xformers CUDA invalid argument." + }, + { + "left": "issue:1407", + "right": "issue:6869", + "accept": false, + "reason": "Different ONNX/feature_extractor issue vs. export_to_video unpacking error." + }, + { + "left": "issue:7333", + "right": "issue:7864", + "accept": false, + "reason": "Different research/project topics; one is image-to-video noise rectification and the other is MotionMaster camera motion transfer." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 65, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10282", + "issue:10689", + "issue:1070", + "issue:10712", + "issue:10738", + "issue:11285", + "issue:11474", + "issue:11585", + "issue:11864", + "issue:13043", + "issue:1363", + "issue:1709", + "issue:1925", + "issue:1944", + "issue:2036", + "issue:2250", + "issue:228", + "issue:2776", + "issue:3152", + "issue:3497", + "issue:3761", + "issue:4000", + "issue:4183", + "issue:490", + "issue:4925", + "issue:5054", + "issue:5504", + "issue:5522", + "issue:5563", + "issue:5603", + "issue:5661", + "issue:5884", + "issue:6761", + "issue:6914", + "issue:7003", + "issue:7056", + "issue:7483", + "issue:776", + "issue:8589", + "issue:8817", + "issue:8939", + "issue:8950", + "issue:8956", + "issue:9180", + "issue:9484", + "issue:9841", + "issue:9914", + "issue:9959" + ], + "soft_pairs": [ + "issue:6914|issue:8817", + "issue:1709|issue:9180", + "issue:1070|issue:1925", + "issue:10738|issue:11474", + "issue:10282|issue:7003", + "issue:4925|issue:5563", + "issue:10689|issue:5884", + "issue:7056|issue:9841", + "issue:8589|issue:8950", + "issue:2776|issue:9484", + "issue:3497|issue:5054", + "issue:11864|issue:5661", + "issue:10712|issue:1363", + "issue:1944|issue:2250", + "issue:13043|issue:4183", + "issue:5522|issue:6761", + "issue:5504|issue:7483", + "issue:2036|issue:8939", + "issue:11285|issue:4000", + "issue:9914|issue:9959", + "issue:11585|issue:490", + "issue:228|issue:776", + "issue:3152|issue:5603", + "issue:3761|issue:8956" + ], + "prepared_review_unit_hash": "595955aff1786821c2cdeb70975ba4d30575f0d5aed7496af193c2f5b28c9fac", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34438, + "estimated_input_tokens": 8610, + "estimated_eval_tokens": 17476 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster looks like a set of unrelated Diffusers issues that only share generic wording around errors, pipelines, training, or loading. None of the soft pairs look like the same underlying bug/change, so I would not deduplicate them into a single canonical item.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6914", + "right": "issue:8817", + "accept": false, + "reason": "Different IP-Adapter failures: one is an offload/shape AttributeError, the other is a general FaceID usage issue." + }, + { + "left": "issue:1709", + "right": "issue:9180", + "accept": false, + "reason": "Unrelated bugs: ONNX img2img Tensor/astype error vs missing _execution_device attribute in pipelines." + }, + { + "left": "issue:1070", + "right": "issue:1925", + "accept": false, + "reason": "Both mention inpainting, but one is a generic new-version bug and the other is a half-precision problem; no clear same code path." + }, + { + "left": "issue:10738", + "right": "issue:11474", + "accept": false, + "reason": "Different out-of-bounds errors in different contexts: scheduler sigma indexing vs a separate index-999 dimension mismatch." + }, + { + "left": "issue:10282", + "right": "issue:7003", + "accept": false, + "reason": "Both are tensor shape mismatches, but for different pipelines and parameters (x_embedder weight vs inpaint conv weights)." + }, + { + "left": "issue:4925", + "right": "issue:5563", + "accept": false, + "reason": "Both involve training memory/errors, but one is distributed ControlNet OOM and the other is SDXL DreamBooth LoRA training errors." + }, + { + "left": "issue:10689", + "right": "issue:5884", + "accept": false, + "reason": "Same broad IP-Adapter feature area, but one requests Flux pipeline support while the other is about all ControlNet/T2I pipelines." + }, + { + "left": "issue:7056", + "right": "issue:9841", + "accept": false, + "reason": "Both are LoRA training issues, but they target different models and different error conditions; not the same concrete bug." + }, + { + "left": "issue:8589", + "right": "issue:8950", + "accept": false, + "reason": "Both mention SD3 training, but one is prior preservation and the other is a generic SD3 LoRA training bug." + }, + { + "left": "issue:2776", + "right": "issue:9484", + "accept": false, + "reason": "Different training stack problems: DeepSpeed version requirement on 8GB vs FLUX multi-GPU dreambooth with deepspeed." + }, + { + "left": "issue:3497", + "right": "issue:5054", + "accept": false, + "reason": "Both are pipeline attribute/API issues, but one is missing from_ckpt on inpaint pipeline and the other is final_offload_hook on SDXL pipeline." + }, + { + "left": "issue:11864", + "right": "issue:5661", + "accept": false, + "reason": "Both are name/import errors, but one is torch.compile-specific AutoencoderDC failure and the other is a tokenizer symbol missing in diffusers 0.22.1." + }, + { + "left": "issue:10712", + "right": "issue:1363", + "accept": false, + "reason": "Prompt_embeds runtime error in SD3 is unrelated to an ONNX long-prompt/LMS scheduler error." + }, + { + "left": "issue:1944", + "right": "issue:2250", + "accept": false, + "reason": "Both are DreamBooth-related, but one reports random generations during training and the other inference failing to generate an image." + }, + { + "left": "issue:13043", + "right": "issue:4183", + "accept": false, + "reason": "Both are attention/guidance problems in different backends; Blackwell kernel support is unrelated to controlnet guidance_scale behavior." + }, + { + "left": "issue:5522", + "right": "issue:6761", + "accept": false, + "reason": "Different API mismatches: PEFT load_adapter keyword error vs VaeImageProcessor.preprocess unexpected keyword error." + }, + { + "left": "issue:5504", + "right": "issue:7483", + "accept": false, + "reason": "Both mention LoRA/PEFT, but one is xformers integration and the other is SDXL base-model conversion." + }, + { + "left": "issue:2036", + "right": "issue:8939", + "accept": false, + "reason": "Unrelated loading failures: a generic stable-diffusion-v1-4 OSError vs tokenizer loading for SD3-medium." + }, + { + "left": "issue:11285", + "right": "issue:4000", + "accept": false, + "reason": "Both concern conversion, but one is generic convert to/from diffusers value errors and the other is ckpt-to-diffusers for SD2.0." + }, + { + "left": "issue:9914", + "right": "issue:9959", + "accept": false, + "reason": "Both are Flux/xlabs LoRA load errors, but the reported failing locations and symptoms differ enough that this is not clearly one bug." + }, + { + "left": "issue:11585", + "right": "issue:490", + "accept": false, + "reason": "Both are broad quality/memory complaints, but one is a vague web UI result issue and the other is a specific memory issue in diffusers." + }, + { + "left": "issue:228", + "right": "issue:776", + "accept": false, + "reason": "Different release/link problem vs img2img batch-size runtime bug; no shared underlying defect." + }, + { + "left": "issue:3152", + "right": "issue:5603", + "accept": false, + "reason": "Completely different import errors in unrelated libraries: TensorFlow Lite analyzer wrapper vs diffusers safetensors utility." + }, + { + "left": "issue:3761", + "right": "issue:8956", + "accept": false, + "reason": "Both are model-loading complaints, but one is about loading two community pipelines in one process and the other is an OVStableDiffusionXL model load failure." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 66, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11033", + "issue:11149", + "issue:11464", + "issue:11585", + "issue:13274", + "issue:1335", + "issue:1552", + "issue:1604", + "issue:1883", + "issue:1946", + "issue:1976", + "issue:234", + "issue:2471", + "issue:3235", + "issue:3296", + "issue:3401", + "issue:3573", + "issue:4000", + "issue:4030", + "issue:4186", + "issue:4304", + "issue:4697", + "issue:4701", + "issue:490", + "issue:5014", + "issue:5488", + "issue:5798", + "issue:6388", + "issue:7229", + "issue:7267", + "issue:7483", + "issue:7589", + "issue:7666", + "issue:7708", + "issue:817", + "issue:8482", + "issue:859", + "issue:8686", + "issue:8805", + "issue:8885", + "issue:8887", + "issue:8989", + "issue:9101", + "issue:9179", + "issue:964", + "issue:9667", + "issue:9913", + "issue:9941" + ], + "soft_pairs": [ + "issue:1335|issue:859", + "issue:1883|issue:8482", + "issue:8887|issue:9101", + "issue:234|issue:2471", + "issue:11585|issue:4186", + "issue:1552|issue:7666", + "issue:11033|issue:1976", + "issue:1976|issue:490", + "issue:4000|issue:7708", + "issue:4030|issue:9941", + "issue:3401|issue:3573", + "issue:7589|issue:8686", + "issue:13274|issue:8989", + "issue:11464|issue:4697", + "issue:1946|issue:4701", + "issue:3235|issue:8885", + "issue:4304|issue:6388", + "issue:5014|issue:9179", + "issue:8805|issue:9913", + "issue:5798|issue:859", + "issue:817|issue:964", + "issue:11149|issue:5798", + "issue:5488|issue:7589", + "issue:7267|issue:9667", + "issue:3296|issue:7229", + "issue:1604|issue:7483" + ], + "prepared_review_unit_hash": "8d2075700b8d5dfa20e208988e176b5b3dc2ed36b73887ed69146d9484333c48", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34345, + "estimated_input_tokens": 8587, + "estimated_eval_tokens": 17430 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated standalone issues; only the two \"class_labels should be provided\" reports look like the same underlying bug. The rest share broad subsystems or vague error patterns but do not appear to be duplicates.", + "confidence": 0.89, + "canonical_issue_reason": "issue:3401 is the clearest, most generic report of the shared bug and has the strongest duplicate candidate attached.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3401 is the best representative issue for this cluster because it is specific enough to identify the failure mode yet broad enough to cover the matched duplicate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1335", + "right": "issue:859", + "accept": false, + "reason": "Different missing-argument problems in different pipelines; same error class, not the same bug." + }, + { + "left": "issue:1883", + "right": "issue:8482", + "accept": false, + "reason": "VAE gradient checkpointing support vs SD3 model support request; unrelated concrete issues." + }, + { + "left": "issue:8887", + "right": "issue:9101", + "accept": false, + "reason": "Both involve SD3 training, but they describe different script bugs and code paths." + }, + { + "left": "issue:234", + "right": "issue:2471", + "accept": false, + "reason": "Half-precision failure and attend-and-excite size handling are unrelated." + }, + { + "left": "issue:11585", + "right": "issue:4186", + "accept": false, + "reason": "Generic bad results vs SDXL inpaint/refiner behavior; no shared underlying defect." + }, + { + "left": "issue:1552", + "right": "issue:7666", + "accept": false, + "reason": "Attention slicing on SD2 and from_single_file custom pipeline loading are different problems." + }, + { + "left": "issue:11033", + "right": "issue:1976", + "accept": false, + "reason": "Both mention loading, but one is Unet from_single_file and the other is tokenizer path resolution; not the same bug." + }, + { + "left": "issue:1976", + "right": "issue:490", + "accept": false, + "reason": "Tokenizer/config file lookup issue vs general memory comparison; unrelated." + }, + { + "left": "issue:4000", + "right": "issue:7708", + "accept": false, + "reason": "SD2 ckpt conversion and SDXL tokenizer file lookup are different conversion/loading failures." + }, + { + "left": "issue:4030", + "right": "issue:9941", + "accept": false, + "reason": "Different runtime failures with no clear shared code-path." + }, + { + "left": "issue:3401", + "right": "issue:3573", + "accept": true, + "reason": "Same error message and same underlying class-label requirement bug, with one report being a narrower pipeline manifestation." + }, + { + "left": "issue:7589", + "right": "issue:8686", + "accept": false, + "reason": "GLIGEN layout-to-image and SDXL ControlNet callback issues are unrelated." + }, + { + "left": "issue:13274", + "right": "issue:8989", + "accept": false, + "reason": "Both reference Stable Audio, but one is a recursion error and the other is a sequential offloading bug; not the same defect." + }, + { + "left": "issue:11464", + "right": "issue:4697", + "accept": false, + "reason": "Different LoRA loading failures in different contexts; too broad to merge." + }, + { + "left": "issue:1946", + "right": "issue:4701", + "accept": false, + "reason": "Different CUDA errors in different components; not the same concrete bug." + }, + { + "left": "issue:3235", + "right": "issue:8885", + "accept": false, + "reason": "Custom Diffusion weight-loading with biases vs example setup/install problems; different issues." + }, + { + "left": "issue:4304", + "right": "issue:6388", + "accept": false, + "reason": "SDXL LoRA training support request vs gradient-checkpointing bug; not duplicates." + }, + { + "left": "issue:5014", + "right": "issue:9179", + "accept": false, + "reason": "Different training-result complaints in different scripts and model families." + }, + { + "left": "issue:8805", + "right": "issue:9913", + "accept": false, + "reason": "SDXL conversion script regression vs LoRA device setting behavior; unrelated." + }, + { + "left": "issue:5798", + "right": "issue:859", + "accept": false, + "reason": "Both are unexpected-keyword errors, but they involve different keywords, pipelines, and fixes." + }, + { + "left": "issue:817", + "right": "issue:964", + "accept": false, + "reason": "Mixed precision in DreamBooth and inpainting example failure are unrelated." + }, + { + "left": "issue:11149", + "right": "issue:5798", + "accept": false, + "reason": "Quantizer dtype keyword mismatch vs ControlNet callback keyword mismatch; different APIs." + }, + { + "left": "issue:5488", + "right": "issue:7589", + "accept": false, + "reason": "Demo image generation failure and GLIGEN layout-to-image are not the same bug." + }, + { + "left": "issue:7267", + "right": "issue:9667", + "accept": false, + "reason": "Local data loading in train_controlnet vs Flux fp8 local transformer loading; different code paths." + }, + { + "left": "issue:3296", + "right": "issue:7229", + "accept": false, + "reason": "Both mention checkpoints, but one is DreamBooth with text_encoder and the other is advanced training broadly; insufficient evidence of same bug." + }, + { + "left": "issue:1604", + "right": "issue:7483", + "accept": false, + "reason": "Broken lpw_stable_diffusion.py on a version bump vs SDXL LoRA conversion script failure; unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The verdicts are conservative and grounded in the packet. The only accepted pair, issue:3401 and issue:3573, shares the same error text and a plausible shared class-label requirement bug; the remaining pairs are reasonably separated by different APIs, pipelines, or failure modes." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 67, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1070", + "issue:10712", + "issue:11285", + "issue:11853", + "issue:12003", + "issue:12009", + "issue:1249", + "issue:13043", + "issue:1305", + "issue:13298", + "issue:1556", + "issue:1616", + "issue:1672", + "issue:2420", + "issue:2459", + "issue:2775", + "issue:2871", + "issue:2904", + "issue:3124", + "issue:4137", + "issue:4183", + "issue:4213", + "issue:4340", + "issue:4389", + "issue:4460", + "issue:4542", + "issue:490", + "issue:5465", + "issue:5524", + "issue:5606", + "issue:6280", + "issue:6298", + "issue:6427", + "issue:6594", + "issue:6610", + "issue:6879", + "issue:6964", + "issue:7228", + "issue:7509", + "issue:771", + "issue:858", + "issue:8686", + "issue:8826", + "issue:9476", + "issue:9525", + "issue:969", + "issue:9841" + ], + "soft_pairs": [ + "issue:13043|issue:5606", + "issue:5606|issue:9525", + "issue:12003|issue:12009", + "issue:1305|issue:7509", + "issue:13298|issue:1556", + "issue:490|issue:6594", + "issue:4542|issue:969", + "issue:2775|issue:8826", + "issue:5524|issue:858", + "issue:4389|issue:7228", + "issue:1070|issue:2871", + "issue:6280|issue:6610", + "issue:6427|issue:6964", + "issue:4137|issue:4460", + "issue:4213|issue:8686", + "issue:3124|issue:771", + "issue:11853|issue:4183", + "issue:11285|issue:1672", + "issue:1249|issue:2904", + "issue:2420|issue:2459", + "issue:6879|issue:9476", + "issue:10712|issue:6298", + "issue:1616|issue:5465", + "issue:4340|issue:9841" + ], + "prepared_review_unit_hash": "a524a71cdb8a7c234efa649e13558267ae0c2e41172367049bb78285d61ea76c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33999, + "estimated_input_tokens": 8500, + "estimated_eval_tokens": 17256 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a noisy cluster of mostly unrelated Diffusers bug reports. Only two soft pairs look like true duplicates: the meta-tensor model-loading failure (12003/12009) and the xformers LoRA training issue in train_text_to_image_lora.py (2420/2459). The rest are broader-sounding but refer to different pipelines, error modes, or subsystems.", + "confidence": 0.79, + "canonical_issue_reason": "issue:12003 is the clearest representative of the shared meta-tensor loading failure: it is the broader, open report, and issue:12009 appears to be the same bug manifested while loading Wan2.2 GGUF.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12003 is the best issue candidate because it is open, broadly worded, and directly matches a concrete duplicate counterpart; it captures the underlying model-loading/meta-tensor problem better than the more specific closed report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:13043", + "right": "issue:5606", + "accept": false, + "reason": "Different bugs: GPU kernel-image support on RTX 5090 vs LoRA alpha handling." + }, + { + "left": "issue:5606", + "right": "issue:9525", + "accept": false, + "reason": "Both involve LoRA, but one is missing alpha metadata and the other says lora_scale has no effect; not the same failure mode." + }, + { + "left": "issue:12003", + "right": "issue:12009", + "accept": true, + "reason": "Same underlying meta-tensor loading bug; the Wan2.2 GGUF report is a specific instance of the general 'cannot copy out of meta tensor' failure." + }, + { + "left": "issue:1305", + "right": "issue:7509", + "accept": false, + "reason": "Unrelated pipelines: Direct Inversion image editing vs ReNoise inversion pipeline announcement." + }, + { + "left": "issue:13298", + "right": "issue:1556", + "accept": false, + "reason": "Both mention CUDA/image generation problems, but the titles point to different symptoms and likely different causes." + }, + { + "left": "issue:490", + "right": "issue:6594", + "accept": false, + "reason": "Memory usage vs network/config download failure; not the same bug." + }, + { + "left": "issue:4542", + "right": "issue:969", + "accept": false, + "reason": "Different issues: img2img multi-image output vs multi-GPU accelerate test failure." + }, + { + "left": "issue:2775", + "right": "issue:8826", + "accept": false, + "reason": "Different runtime errors in different code paths: torch._dynamo misuse vs torch.cat on an empty list." + }, + { + "left": "issue:5524", + "right": "issue:858", + "accept": false, + "reason": "Both are AttributeErrors, but they involve different objects and code paths during LoRA loading." + }, + { + "left": "issue:4389", + "right": "issue:7228", + "accept": false, + "reason": "Different model-loading problems: ControlNetModel loading vs traced model missing dtype." + }, + { + "left": "issue:1070", + "right": "issue:2871", + "accept": false, + "reason": "Both touch inpainting, but one is a general newer-version bug and the other is specifically latent output handling." + }, + { + "left": "issue:6280", + "right": "issue:6610", + "accept": false, + "reason": "Different from_single_file limitations: missing API vs num_in_channels being ignored." + }, + { + "left": "issue:6427", + "right": "issue:6964", + "accept": false, + "reason": "Different conversion/loading problems: ckpt conversion vs 4-channel UNet support in ControlNet inpaint." + }, + { + "left": "issue:4137", + "right": "issue:4460", + "accept": false, + "reason": "Both are about differing outputs, but one is LoRA-specific and the other is a general Stable Diffusion vs Diffusers comparison." + }, + { + "left": "issue:4213", + "right": "issue:8686", + "accept": false, + "reason": "Unrelated features: from_single_file without accelerate vs CFG-cutoff callback with ControlNet." + }, + { + "left": "issue:3124", + "right": "issue:771", + "accept": false, + "reason": "Different training/model conversion issues: ckpt conversion vs BF16 DreamBooth support." + }, + { + "left": "issue:11853", + "right": "issue:4183", + "accept": false, + "reason": "Different bugs: ControlNet+IP-Adapter conflict vs guidance_scale <= 1 failure in controlnet generation." + }, + { + "left": "issue:11285", + "right": "issue:1672", + "accept": false, + "reason": "Both involve conversion, but one is value errors in conversion and the other is wrong output size after ckpt conversion." + }, + { + "left": "issue:1249", + "right": "issue:2904", + "accept": false, + "reason": "Different pipelines and failures: OnnxPipeline numpy/device mismatch vs AudioLDM scheduler missing." + }, + { + "left": "issue:2420", + "right": "issue:2459", + "accept": true, + "reason": "Same concrete bug in train_text_to_image_lora.py: enabling xformers memory-efficient attention does not work." + }, + { + "left": "issue:6879", + "right": "issue:9476", + "accept": false, + "reason": "Different dtype mismatches in different training contexts; not the same code-path problem." + }, + { + "left": "issue:10712", + "right": "issue:6298", + "accept": false, + "reason": "StableDiffusion3 prompt_embeds runtime error is unrelated to GLIGEN's missing CLIPImageProjection attribute." + }, + { + "left": "issue:1616", + "right": "issue:5465", + "accept": false, + "reason": "Different pipeline-specific bugs: LPW pipeline support vs DiffEdit inpaint_strength constraint." + }, + { + "left": "issue:4340", + "right": "issue:9841", + "accept": false, + "reason": "Both are SDXL LoRA training issues, but the errors and triggers are different enough that they do not look like the same bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft-edge calls. The two accepted pairs (12003/12009 and 2420/2459) are well-supported by the titles and issue descriptions, and the rejections do not overclaim duplicates." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 68, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1013", + "issue:1084", + "issue:11033", + "issue:11396", + "issue:1214", + "issue:12141", + "issue:1398", + "issue:1495", + "issue:1572", + "issue:1931", + "issue:2645", + "issue:2769", + "issue:2806", + "issue:2875", + "issue:3045", + "issue:3124", + "issue:3140", + "issue:3348", + "issue:3379", + "issue:3619", + "issue:3803", + "issue:4302", + "issue:4460", + "issue:4724", + "issue:4726", + "issue:4885", + "issue:4925", + "issue:499", + "issue:5016", + "issue:5219", + "issue:5578", + "issue:639", + "issue:6427", + "issue:6584", + "issue:6699", + "issue:7057", + "issue:7197", + "issue:7283", + "issue:7293", + "issue:7432", + "issue:7466", + "issue:7681", + "issue:771", + "issue:9067", + "issue:9092", + "issue:9179", + "issue:9841", + "issue:9861" + ], + "soft_pairs": [ + "issue:1398|issue:1931", + "issue:11396|issue:7283", + "issue:1214|issue:6427", + "issue:1495|issue:3140", + "issue:1572|issue:2806", + "issue:4925|issue:9179", + "issue:639|issue:7057", + "issue:5219|issue:6584", + "issue:1084|issue:7293", + "issue:2769|issue:3045", + "issue:3124|issue:3619", + "issue:4460|issue:7432", + "issue:7681|issue:9067", + "issue:2875|issue:7197", + "issue:11033|issue:499", + "issue:4726|issue:6699", + "issue:2645|issue:7466", + "issue:3348|issue:9841", + "issue:3379|issue:5016", + "issue:3803|issue:9861", + "issue:5578|issue:9092", + "issue:4302|issue:4885", + "issue:1013|issue:4724", + "issue:12141|issue:771" + ], + "prepared_review_unit_hash": "ce16779becd5f5decfe9e92f80782c7d27fa6a7aa58a2ee6eaf03d8e0b653c30", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34102, + "estimated_input_tokens": 8526, + "estimated_eval_tokens": 17308 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly a loose collection of unrelated Diffusers issues. I do not see any soft pair that is clearly the same underlying bug or change, so I reject all candidate duplicate links. The closest thematic overlap is around Stable Diffusion pipeline failures, but the concrete failure modes still differ.", + "confidence": 0.34, + "canonical_issue_reason": "issue:1572 is the best representative of the most coherent subtopic here: StableDiffusionMega pipeline breakage. It is more explicit about the affected pipeline and failure modes than the older, more generic 1013 report.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:1572 is the strongest global issue pick because it is the clearest, most descriptive pipeline-failure report among the candidates and could plausibly anchor nearby Stable Diffusion mega-pipeline reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1398", + "right": "issue:1931", + "accept": false, + "reason": "Both involve Stable Diffusion 2 and numeric precision/device problems, but one is MPS support and the other is float16 dtype mismatch; different bugs." + }, + { + "left": "issue:11396", + "right": "issue:7283", + "accept": false, + "reason": "Both are LoRA-loading questions, but they target different model families and different workflows; not the same bug." + }, + { + "left": "issue:1214", + "right": "issue:6427", + "accept": false, + "reason": "CLIP half-precision failure is unrelated to model conversion from diffusers to ckpt." + }, + { + "left": "issue:1495", + "right": "issue:3140", + "accept": false, + "reason": "Both are import errors, but they reference different symbols/modules and distinct breakages." + }, + { + "left": "issue:1572", + "right": "issue:2806", + "accept": false, + "reason": "StableDiffusionMega pipeline img2img/inpainting failure is unrelated to custom pipeline printing/representation." + }, + { + "left": "issue:4925", + "right": "issue:9179", + "accept": false, + "reason": "Both mention SDXL controlnet training, but one is distributed OOM and the other is poor training quality; not the same concrete problem." + }, + { + "left": "issue:639", + "right": "issue:7057", + "accept": false, + "reason": "These are both model-related failures, but one is parameter initialization mismatch and the other is a generic broken checkpoint load." + }, + { + "left": "issue:5219", + "right": "issue:6584", + "accept": false, + "reason": "Both are model conversion/loading issues, but they concern different directions and different models; too broad to be the same bug." + }, + { + "left": "issue:1084", + "right": "issue:7293", + "accept": false, + "reason": "A documentation feature request is unrelated to an AudioLDM2 integration request." + }, + { + "left": "issue:2769", + "right": "issue:3045", + "accept": false, + "reason": "Both involve conversion, but one is full model ckpt round-tripping and the other is LoRA conversion; not the same code-path." + }, + { + "left": "issue:3124", + "right": "issue:3619", + "accept": false, + "reason": "Both say 'doesn't work', but they are about different pipelines and different functionality." + }, + { + "left": "issue:4460", + "right": "issue:7432", + "accept": false, + "reason": "Both discuss output differences, but they are broad result-comparison reports rather than the same underlying defect." + }, + { + "left": "issue:7681", + "right": "issue:9067", + "accept": false, + "reason": "Different import failures with different root causes; only superficially similar." + }, + { + "left": "issue:2875", + "right": "issue:7197", + "accept": false, + "reason": "Training NaNs and resume-training key errors are unrelated failures." + }, + { + "left": "issue:11033", + "right": "issue:499", + "accept": false, + "reason": "One is a single-file loading bug, the other is an unconditional training script issue." + }, + { + "left": "issue:4726", + "right": "issue:6699", + "accept": false, + "reason": "Both are type-hint complaints, but they refer to different callback parameters and different API surfaces." + }, + { + "left": "issue:2645", + "right": "issue:7466", + "accept": false, + "reason": "M1/CUDA import failure is unrelated to torch.compile behavior in SDXL multi-ControlNet inpaint." + }, + { + "left": "issue:3348", + "right": "issue:9841", + "accept": false, + "reason": "LoRA scale/xformers support and a DreamBooth SDXL LoRA TypeError are different bugs." + }, + { + "left": "issue:3379", + "right": "issue:5016", + "accept": false, + "reason": "DreamBooth intermediate checkpoint loading and SDXL text encoder training are different training issues." + }, + { + "left": "issue:3803", + "right": "issue:9861", + "accept": false, + "reason": "Both are training-related, but one is multi-GPU LoRA sharing and the other is Flux transformer update behavior; not the same fix." + }, + { + "left": "issue:5578", + "right": "issue:9092", + "accept": false, + "reason": "Both mention model_index.json, but the reported contexts and likely root causes differ; too weak to merge." + }, + { + "left": "issue:4302", + "right": "issue:4885", + "accept": false, + "reason": "Both concern LoRA loading, but one is a specific SDXL LoRA weight-loading report and the other is a ControlNet Img2Img pipeline issue." + }, + { + "left": "issue:1013", + "right": "issue:4724", + "accept": false, + "reason": "Both involve Stable Diffusion pipelines, but one is StableDiffusionMega in Diffusers 6.0 and the other is SDXL Img2Img with a base checkpoint; different failures." + }, + { + "left": "issue:12141", + "right": "issue:771", + "accept": false, + "reason": "Both are bf16/float16 precision issues, but they affect different components and training/inference paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 69, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1037", + "issue:10472", + "issue:10866", + "issue:11978", + "issue:1214", + "issue:122", + "issue:12535", + "issue:13035", + "issue:13043", + "issue:1463", + "issue:1572", + "issue:1817", + "issue:2774", + "issue:2830", + "issue:2973", + "issue:3045", + "issue:3224", + "issue:3481", + "issue:3487", + "issue:3497", + "issue:3816", + "issue:4080", + "issue:4086", + "issue:4183", + "issue:4279", + "issue:4399", + "issue:4520", + "issue:4701", + "issue:4835", + "issue:4852", + "issue:487", + "issue:5125", + "issue:5227", + "issue:5798", + "issue:6362", + "issue:6964", + "issue:7483", + "issue:7660", + "issue:7962", + "issue:8534", + "issue:8556", + "issue:8649", + "issue:9044", + "issue:9055", + "issue:955", + "issue:9576", + "issue:9911", + "issue:9914" + ], + "soft_pairs": [ + "issue:3497|issue:3816", + "issue:4183|issue:9911", + "issue:4701|issue:5125", + "issue:8556|issue:8649", + "issue:1037|issue:4080", + "issue:10866|issue:12535", + "issue:487|issue:7660", + "issue:4086|issue:4279", + "issue:122|issue:1463", + "issue:7962|issue:955", + "issue:13043|issue:4835", + "issue:1214|issue:6964", + "issue:3224|issue:8534", + "issue:4852|issue:9914", + "issue:3487|issue:9576", + "issue:7483|issue:9044", + "issue:1817|issue:5798", + "issue:2774|issue:3045", + "issue:11978|issue:2830", + "issue:2973|issue:3481", + "issue:10472|issue:6362", + "issue:4399|issue:5227", + "issue:13035|issue:9055", + "issue:1572|issue:4520" + ], + "prepared_review_unit_hash": "61251d6fc78e9fe0243860537ddd0c8d73742f368fd62b934619bc5a9050eb8e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34335, + "estimated_input_tokens": 8584, + "estimated_eval_tokens": 17424 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a loose cluster of mostly unrelated diffusers issues; the only recurring motif is LoRA/loading/import compatibility, but the soft pairs are still too specific to merge as duplicates. No PRs are present.", + "confidence": 0.24, + "canonical_issue_reason": "Issue 9055 is the cleanest anchor for the cluster: it is a concrete diffusers loader import regression with a precise failure mode, which makes it the best representative for nearby LoRA-loading complaints.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9055 is the most triage-friendly and broadly relevant issue among the set because it targets a core loading path and is clearly actionable.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3497", + "right": "issue:3816", + "accept": false, + "reason": "Different bugs: missing from_ckpt on an inpaint pipeline vs missing CLIPImageProcessor in transformers." + }, + { + "left": "issue:4183", + "right": "issue:9911", + "accept": false, + "reason": "Both are ControlNet-related, but one is a guidance_scale<=1 generation error and the other is a Flux multi-ControlNet layer-length mismatch." + }, + { + "left": "issue:4701", + "right": "issue:5125", + "accept": false, + "reason": "Different code paths: AutoencoderKL float32 CUDA differentiation failure vs XFormers attention invalid configuration argument." + }, + { + "left": "issue:8556", + "right": "issue:8649", + "accept": false, + "reason": "Both involve SD3, but one is a from_single_file meta-tensor copy error and the other is a num_images_per_prompt regression." + }, + { + "left": "issue:1037", + "right": "issue:4080", + "accept": false, + "reason": "One is a community-pipeline request for Stable Diffusion Telephone; the other is a request to add an SDXL inpainting pipeline." + }, + { + "left": "issue:10866", + "right": "issue:12535", + "accept": false, + "reason": "Both mention LoRA loading, but they are for different models and different failure modes, so not the same underlying bug." + }, + { + "left": "issue:487", + "right": "issue:7660", + "accept": false, + "reason": "M1 CPU support failure is unrelated to a generic trace example not working." + }, + { + "left": "issue:4086", + "right": "issue:4279", + "accept": false, + "reason": "Different problems: ControlNet training on SDXL base 0.9 vs loading SD-XL 0.9 LoRAs from CivitAI." + }, + { + "left": "issue:122", + "right": "issue:1463", + "accept": false, + "reason": "Separate missing-dependency issues: 'exceptions' module vs 'datasets' module." + }, + { + "left": "issue:7962", + "right": "issue:955", + "accept": false, + "reason": "Both are API feature requests, but they ask for different callback arguments and are not the same change." + }, + { + "left": "issue:13043", + "right": "issue:4835", + "accept": false, + "reason": "RTX 5090 sage_hub kernel-image failure is unrelated to the MultiControlNetModel bug in SDXL controlnet img2img." + }, + { + "left": "issue:1214", + "right": "issue:6964", + "accept": false, + "reason": "Half-precision CLIPTextModel issue and 4-channel UNet ControlNet inpaint issue are distinct failures." + }, + { + "left": "issue:3224", + "right": "issue:8534", + "accept": false, + "reason": "Both are training-related, but one is duplicated learning-rate scaling in Dreambooth LoRA and the other is SD3 logit-normal weighting." + }, + { + "left": "issue:4852", + "right": "issue:9914", + "accept": false, + "reason": "Generic LoRA loading error vs Flux/Xlabs-specific LoRA loading bug; related area, but not the same issue." + }, + { + "left": "issue:3487", + "right": "issue:9576", + "accept": false, + "reason": "Different concerns: scheduler strength producing poor results vs use_safetensors not propagating to submodules." + }, + { + "left": "issue:7483", + "right": "issue:9044", + "accept": false, + "reason": "LoRA conversion for SDXL 1.0 base is not the same as a missing diffusion_pytorch_model.bin file in the SDXL checkpoint repository." + }, + { + "left": "issue:1817", + "right": "issue:5798", + "accept": false, + "reason": "Two unrelated API keyword errors: get_scheduler(num_cycles) vs callback_on_step_end." + }, + { + "left": "issue:2774", + "right": "issue:3045", + "accept": false, + "reason": "Both involve conversion utilities, but controlnet safetensors conversion and LoRA conversion are different concrete tasks." + }, + { + "left": "issue:11978", + "right": "issue:2830", + "accept": false, + "reason": "A pipeline addition request for Bria 3.2 is unrelated to a question about using ModelScope video models." + }, + { + "left": "issue:2973", + "right": "issue:3481", + "accept": false, + "reason": "Both discuss generation behavior, but one is CPU offload determinism and the other is inference-step-dependent image differences with DDIM." + }, + { + "left": "issue:10472", + "right": "issue:6362", + "accept": false, + "reason": "LoRA bias keyword error and SDXL dataset-mapping OOM are unrelated issues." + }, + { + "left": "issue:4399", + "right": "issue:5227", + "accept": false, + "reason": "Both involve torch.compile interactions, but one is CPU offload incompatibility and the other is LoRA weight loading; not the same bug." + }, + { + "left": "issue:13035", + "right": "issue:9055", + "accept": false, + "reason": "Both are import errors, but they involve different symbols from different libraries ('MT5Tokenizer' vs 'StableDiffusionLoraLoaderMixin')." + }, + { + "left": "issue:1572", + "right": "issue:4520", + "accept": false, + "reason": "A broken stable_diffusion_mega img2img/inpainting pipeline is unrelated to a LoRA scale kwarg issue with attention slicing." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 70, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10169", + "issue:10382", + "issue:10472", + "issue:10722", + "issue:10848", + "issue:10869", + "issue:11864", + "issue:12009", + "issue:12492", + "issue:1255", + "issue:1500", + "issue:1534", + "issue:1536", + "issue:1842", + "issue:1905", + "issue:2276", + "issue:2578", + "issue:2984", + "issue:3152", + "issue:4210", + "issue:4324", + "issue:4368", + "issue:4492", + "issue:4932", + "issue:499", + "issue:5022", + "issue:5028", + "issue:5125", + "issue:5274", + "issue:5678", + "issue:6700", + "issue:7114", + "issue:730", + "issue:7708", + "issue:771", + "issue:7731", + "issue:7801", + "issue:7931", + "issue:7985", + "issue:8494", + "issue:858", + "issue:867", + "issue:9267", + "issue:9448", + "issue:9497", + "issue:9576", + "issue:9913" + ], + "soft_pairs": [ + "issue:2578|issue:499", + "issue:1255|issue:3152", + "issue:10382|issue:9267", + "issue:6700|issue:9576", + "issue:10472|issue:5028", + "issue:10848|issue:5028", + "issue:2984|issue:7731", + "issue:10169|issue:7708", + "issue:1905|issue:867", + "issue:4932|issue:730", + "issue:5274|issue:7801", + "issue:1500|issue:1536", + "issue:4368|issue:7114", + "issue:5125|issue:5678", + "issue:1842|issue:8494", + "issue:1534|issue:2276", + "issue:771|issue:9913", + "issue:10722|issue:9497", + "issue:11864|issue:7985", + "issue:10869|issue:12009", + "issue:4210|issue:4324", + "issue:4492|issue:5022", + "issue:12492|issue:858", + "issue:7931|issue:9448" + ], + "prepared_review_unit_hash": "a8fa0aee45e156c0e3653b438e3a6927404176427cf278de5a81ecc9404053d8", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 34033, + "estimated_input_tokens": 8509, + "estimated_eval_tokens": 17274 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Only one soft pair looks like a true duplicate: the lpw_stable_diffusion / diffusers version incompatibility reports. The rest are distinct bugs, API mismatches, or performance issues, not the same underlying change. No PRs are present.", + "confidence": 0.88, + "canonical_issue_reason": "Issue 1500 is the best canonical issue for the only clear duplicate set because it names the exact lpw_stable_diffusion pipeline and the diffusers version incompatibility explicitly.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1500 is the strongest representative issue in this cluster: it is concrete, narrowly scoped, and directly matches its duplicate counterpart.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2578", + "right": "issue:499", + "accept": false, + "reason": "Editable-install failure and an unconditional training script failure are different code paths and different bugs." + }, + { + "left": "issue:1255", + "right": "issue:3152", + "accept": false, + "reason": "Scheduler import error in diffusers is unrelated to a TensorFlow Lite analyzer wrapper import failure." + }, + { + "left": "issue:10382", + "right": "issue:9267", + "accept": false, + "reason": "VAE encoder return-type mismatch and missing rope attribute in Flux transformer are distinct model issues." + }, + { + "left": "issue:6700", + "right": "issue:9576", + "accept": false, + "reason": "Passing unexpected temb to attention processors is unrelated to use_safetensors propagation during pipeline loading." + }, + { + "left": "issue:10472", + "right": "issue:5028", + "accept": false, + "reason": "Unexpected lora_bias kwarg during LoRA inference does not match an unexpected scale kwarg in a hacked SDXL reference block forward." + }, + { + "left": "issue:10848", + "right": "issue:5028", + "accept": false, + "reason": "load_model_dict_into_meta(device=...) for IP-Adapters is a different loader API issue than the scale kwarg error." + }, + { + "left": "issue:2984", + "right": "issue:7731", + "accept": false, + "reason": "These are different long-video generation projects/papers, not the same bug or change." + }, + { + "left": "issue:10169", + "right": "issue:7708", + "accept": false, + "reason": "Generic config.json not found and missing tokenizer/config.json for SDXL are similar symptoms but not the same concrete failure." + }, + { + "left": "issue:1905", + "right": "issue:867", + "accept": false, + "reason": "Both mention GPU memory, but one is StableDiffusionPipeline cleanup and the other is FastAPI memory retention; too broad to merge." + }, + { + "left": "issue:4932", + "right": "issue:730", + "accept": false, + "reason": "Missing pytorch_model.bin after DreamBooth and DreamBooth learning differently on local vs Colab are separate problems." + }, + { + "left": "issue:5274", + "right": "issue:7801", + "accept": false, + "reason": "Mixed-precision dtype mismatch and model not being fp16 are related symptoms but not the same underlying bug." + }, + { + "left": "issue:1500", + "right": "issue:1536", + "accept": true, + "reason": "Both report lpw_stable_diffusion breaking with newer diffusers versions; they describe the same compatibility regression." + }, + { + "left": "issue:4368", + "right": "issue:7114", + "accept": false, + "reason": "Different training OOM reports in different scripts/configurations, not one specific fixable bug." + }, + { + "left": "issue:5125", + "right": "issue:5678", + "accept": false, + "reason": "xFormers CUDA kernel configuration error and higher-order derivative failure in scaled_dot_product_attention are different code paths." + }, + { + "left": "issue:1842", + "right": "issue:8494", + "accept": false, + "reason": "Unexpected eta kwarg and unexpected force_hooks kwarg are different API mismatch reports." + }, + { + "left": "issue:1534", + "right": "issue:2276", + "accept": false, + "reason": "DreamBooth notebook training error and xformers installation failure are separate notebook/setup issues." + }, + { + "left": "issue:771", + "right": "issue:9913", + "accept": false, + "reason": "BF16 DreamBooth support and set_lora_device behavior are unrelated issues." + }, + { + "left": "issue:10722", + "right": "issue:9497", + "accept": false, + "reason": "Prior-preservation tensor shape mismatch and Flux DreamBooth mat2 shape error are different training failures." + }, + { + "left": "issue:11864", + "right": "issue:7985", + "accept": false, + "reason": "torch.compile failing in AutoencoderDC.encode and IP-Adapter compile incompatibility are not the same concrete bug." + }, + { + "left": "issue:10869", + "right": "issue:12009", + "accept": false, + "reason": "Both involve meta tensors, but one is a tensor.item() failure and the other is a copy-out-of-meta-tensor loading failure for a different model." + }, + { + "left": "issue:4210", + "right": "issue:4324", + "accept": false, + "reason": "Attention_mask usage in UNet2DConditionModel and a NoneType iterable error are different forward-path bugs." + }, + { + "left": "issue:4492", + "right": "issue:5022", + "accept": false, + "reason": "false/False NameError is unrelated to the missing PreTrainedTokenizer import error." + }, + { + "left": "issue:12492", + "right": "issue:858", + "accept": false, + "reason": "Missing CLIPFeatureExtractor in transformers and Parameter lacking named_children are unrelated attribute errors." + }, + { + "left": "issue:7931", + "right": "issue:9448", + "accept": false, + "reason": "Both involve IP-Adapter plus inpaint pipelines, but the specific failures and triggering arguments differ enough that they do not look like the same bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: the only accepted soft pair is the clearly matching lpw_stable_diffusion / diffusers compatibility duplicate set, and the rest are conservatively rejected as distinct bugs or API mismatches. No PR pairs are present, so there is nothing to assess for mergeability." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 71, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10154", + "issue:10594", + "issue:10650", + "issue:10940", + "issue:10969", + "issue:11464", + "issue:11581", + "issue:11922", + "issue:122", + "issue:12656", + "issue:1552", + "issue:1604", + "issue:1720", + "issue:1985", + "issue:2091", + "issue:2480", + "issue:2548", + "issue:259", + "issue:2871", + "issue:2891", + "issue:3382", + "issue:3565", + "issue:3774", + "issue:3811", + "issue:4080", + "issue:4593", + "issue:5006", + "issue:5227", + "issue:5565", + "issue:5606", + "issue:5621", + "issue:5846", + "issue:5860", + "issue:5894", + "issue:6146", + "issue:6366", + "issue:6894", + "issue:7228", + "issue:746", + "issue:7483", + "issue:7690", + "issue:7985", + "issue:861", + "issue:8939", + "issue:9362", + "issue:9643", + "issue:9911", + "issue:9973" + ], + "soft_pairs": [ + "issue:5621|issue:7483", + "issue:6366|issue:6894", + "issue:11464|issue:11581", + "issue:10650|issue:5894", + "issue:861|issue:8939", + "issue:10594|issue:11922", + "issue:10940|issue:122", + "issue:10969|issue:9911", + "issue:1985|issue:4080", + "issue:259|issue:2871", + "issue:2891|issue:9643", + "issue:11464|issue:4593", + "issue:3565|issue:5846", + "issue:5006|issue:9973", + "issue:10154|issue:3811", + "issue:1552|issue:5860", + "issue:746|issue:7690", + "issue:2480|issue:5565", + "issue:1720|issue:2548", + "issue:5227|issue:7985", + "issue:3382|issue:5006", + "issue:12656|issue:9362", + "issue:1604|issue:3774", + "issue:2091|issue:6146", + "issue:5606|issue:7228" + ], + "prepared_review_unit_hash": "f0ecf056405720677c266ec7c7ec45ddfe2e3b271b589ef39a4f7819c28542c8", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34777, + "estimated_input_tokens": 8695, + "estimated_eval_tokens": 17646 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly loosely related ML pipeline issues, but none of the soft pairs look like true duplicates; they share broad themes like LoRA, FLUX, ControlNet, or training, not the same concrete bug.", + "confidence": 0.9, + "canonical_issue_reason": "Issue 3811 is the best anchor because it is a clear, specific load_lora_weights bug and is central to the LoRA-loading theme that appears repeatedly in this cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 3811 is the strongest representative issue: it names the core API directly and describes a concrete symptom, making it the most canonical single issue among the candidates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5621", + "right": "issue:7483", + "accept": false, + "reason": "Different problems: ControlNet encoder_hid_proj support vs LoRA-to-Diffusers conversion for SDXL." + }, + { + "left": "issue:6366", + "right": "issue:6894", + "accept": false, + "reason": "Checkpoint resume/loading bug vs LoRA not working in A1111; related training area but not the same defect." + }, + { + "left": "issue:11464", + "right": "issue:11581", + "accept": false, + "reason": "Both are FLUX loading issues, but one is a Canny LoRA load failure and the other is an IP-Adapter dtype constructor error." + }, + { + "left": "issue:10650", + "right": "issue:5894", + "accept": false, + "reason": "Both are runtime errors, but they involve different models and unrelated failure modes." + }, + { + "left": "issue:861", + "right": "issue:8939", + "accept": false, + "reason": "Model conversion failure vs tokenizer-loading OSError; different code paths and symptoms." + }, + { + "left": "issue:10594", + "right": "issue:11922", + "accept": false, + "reason": "Multiple ControlNets with LoRA on FLUX vs a general FLUX Fill runtime problem; not the same bug." + }, + { + "left": "issue:10940", + "right": "issue:122", + "accept": false, + "reason": "Unrelated import errors in different eras and modules." + }, + { + "left": "issue:10969", + "right": "issue:9911", + "accept": false, + "reason": "Training weight-shape failure vs multi-ControlNet FLUX layer-length mismatch; different concrete errors." + }, + { + "left": "issue:1985", + "right": "issue:4080", + "accept": false, + "reason": "Loading new embeddings vs adding an inpainting pipeline; same broad project area only." + }, + { + "left": "issue:259", + "right": "issue:2871", + "accept": false, + "reason": "Progress bar fix vs latent output handling in inpainting; unrelated behaviors." + }, + { + "left": "issue:2891", + "right": "issue:9643", + "accept": false, + "reason": "Docs/feature mismatch for embeddings vs FLUX multiple-ControlNet support; not the same issue." + }, + { + "left": "issue:11464", + "right": "issue:4593", + "accept": false, + "reason": "Both mention LoRA loading, but the errors and affected pipelines are different: FLUX pipeline load vs rank-too-high validation." + }, + { + "left": "issue:3565", + "right": "issue:5846", + "accept": false, + "reason": "Training OOM vs checkpoint resume error; different failure modes." + }, + { + "left": "issue:5006", + "right": "issue:9973", + "accept": false, + "reason": "Memory/end-of-training BF16 OOM vs FP16 gradient unscale error; unrelated training problems." + }, + { + "left": "issue:10154", + "right": "issue:3811", + "accept": false, + "reason": "Both touch load_lora_weights, but one is an attribute-error prompt and the other is LoRA loading with no generation effect; not clearly the same bug." + }, + { + "left": "issue:1552", + "right": "issue:5860", + "accept": false, + "reason": "Attention slicing on SD2 vs tiny autoencoder + ControlNet pipeline failure; different subsystems." + }, + { + "left": "issue:746", + "right": "issue:7690", + "accept": false, + "reason": "ONNX model loading issue vs tokenizer loading issue." + }, + { + "left": "issue:2480", + "right": "issue:5565", + "accept": false, + "reason": "Checkpoint directory layout bug vs inability to run a LoRA DreamBooth example." + }, + { + "left": "issue:1720", + "right": "issue:2548", + "accept": false, + "reason": "M1 Pro finetuning errors vs LoRA saving error; too broad to be duplicate." + }, + { + "left": "issue:5227", + "right": "issue:7985", + "accept": false, + "reason": "Both involve torch.compile, but LoRA loading and IP-Adapter compatibility are distinct concrete problems." + }, + { + "left": "issue:12656", + "right": "issue:9362", + "accept": false, + "reason": "Different model families and likely different positional/index errors." + }, + { + "left": "issue:1604", + "right": "issue:3774", + "accept": false, + "reason": "Broken script under a package version vs zero3 memory-saving behavior; unrelated." + }, + { + "left": "issue:2091", + "right": "issue:6146", + "accept": false, + "reason": "Both are multi-GPU training issues, but one is checkpoint resume and the other is general accelerate training." + }, + { + "left": "issue:5606", + "right": "issue:7228", + "accept": false, + "reason": "LoRA alpha handling vs traced-model dtype attribute error; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 72, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10266", + "issue:10512", + "issue:10575", + "issue:10738", + "issue:10833", + "issue:1100", + "issue:11088", + "issue:11218", + "issue:11298", + "issue:11370", + "issue:11474", + "issue:12009", + "issue:12414", + "issue:1264", + "issue:13035", + "issue:13067", + "issue:1974", + "issue:2674", + "issue:2871", + "issue:2880", + "issue:2995", + "issue:3689", + "issue:4073", + "issue:4286", + "issue:4304", + "issue:4630", + "issue:5227", + "issue:5455", + "issue:5617", + "issue:5862", + "issue:5873", + "issue:6158", + "issue:6298", + "issue:6382", + "issue:639", + "issue:6607", + "issue:6996", + "issue:7185", + "issue:7276", + "issue:7418", + "issue:7483", + "issue:7485", + "issue:776", + "issue:7782", + "issue:7799", + "issue:9180", + "issue:9341" + ], + "soft_pairs": [ + "issue:5455|issue:7276", + "issue:1974|issue:2674", + "issue:4286|issue:7483", + "issue:6996|issue:7485", + "issue:11298|issue:6382", + "issue:5227|issue:5617", + "issue:11088|issue:12009", + "issue:10266|issue:11474", + "issue:10512|issue:9341", + "issue:10575|issue:10738", + "issue:10833|issue:2995", + "issue:1100|issue:9180", + "issue:11218|issue:13035", + "issue:11370|issue:7782", + "issue:12414|issue:4304", + "issue:1264|issue:6607", + "issue:13067|issue:6158", + "issue:2871|issue:776", + "issue:2880|issue:639", + "issue:3689|issue:4630", + "issue:4073|issue:6298", + "issue:5862|issue:7185", + "issue:5873|issue:7418", + "issue:6382|issue:7799" + ], + "prepared_review_unit_hash": "c05351032bd4e782e342f16c46fd7845008c4089898892a0def7d5dbd419a67d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33680, + "estimated_input_tokens": 8420, + "estimated_eval_tokens": 17096 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not one duplicate cluster: the soft-paired issues only share generic terms like \"LoRA\", \"load\", or \"index out of bounds\", but they describe different code paths, models, and failure modes. None of the candidate edges should be merged.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue is appropriate; the items span unrelated bugs and feature requests across schedulers, LoRA loading, conversion scripts, and pipeline/model-specific errors.", + "canonical_pr_reason": "No pull requests are present in the cluster.", + "best_issue_reason": "No item is a strong global canonical issue because the cluster is heterogeneous and the apparent similarities are superficial rather than the same underlying defect.", + "best_pr_reason": "No pull requests are present in the cluster.", + "soft_edge_verdicts": [ + { + "left": "issue:5455", + "right": "issue:7276", + "accept": false, + "reason": "Both mention dreambooth/example runs, but one is a subprocess failure and the other is a network error with a downloaded pretrained model; different underlying problems." + }, + { + "left": "issue:1974", + "right": "issue:2674", + "accept": false, + "reason": "One is about Euler schedulers and generator lists for reproducibility; the other is about missing safetensors dependency for LoRA loading. Different bugs." + }, + { + "left": "issue:4286", + "right": "issue:7483", + "accept": false, + "reason": "Both involve LoRA loading, but SDXL load_lora_weights and LoRA-to-Diffusers conversion for SDXL base models are distinct failure paths." + }, + { + "left": "issue:6996", + "right": "issue:7485", + "accept": false, + "reason": "These are different NoneType/TypeError cases in different pipelines and code paths; same broad symptom class, not the same bug." + }, + { + "left": "issue:11298", + "right": "issue:6382", + "accept": false, + "reason": "One is about hotswapping multiple LoRAs causing a PEFT key error; the other is an IP-Adapter key error after training an SDXL LCM LoRA. Different mechanisms." + }, + { + "left": "issue:5227", + "right": "issue:5617", + "accept": false, + "reason": "Both touch torch.compile, but one is load_lora_weight under compile and the other is saving/loading a compiled ControlNet pipeline. Not the same fix." + }, + { + "left": "issue:11088", + "right": "issue:12009", + "accept": false, + "reason": "Both concern Wan/GGUF loading, but one is a transformer gguf load error and the other is a from_single_file meta-tensor copy failure for Wan2.2 GGUF. Distinct code paths." + }, + { + "left": "issue:10266", + "right": "issue:11474", + "accept": false, + "reason": "Both are index out-of-bounds errors, but they refer to different schedulers/models and different indices/sizes. Not enough to treat as one defect." + }, + { + "left": "issue:10512", + "right": "issue:9341", + "accept": false, + "reason": "One is a Flux LoRA loading issue for Quanto; the other is a Flux LoRA containing text_model LoRA weights. Same general area, different concrete incompatibility." + }, + { + "left": "issue:10575", + "right": "issue:10738", + "accept": false, + "reason": "Both mention out-of-bounds indexing in schedulers, but one is a DPMSolverMultistepScheduler index error and the other is a general sigma index issue. Too vague to merge." + }, + { + "left": "issue:10833", + "right": "issue:2995", + "accept": false, + "reason": "One is a FluxFillPipeline quantization/matrix multiplication problem; the other is a generic matmul shape mismatch in a different context. Different root causes." + }, + { + "left": "issue:1100", + "right": "issue:9180", + "accept": false, + "reason": "The CLIPTextTransformer device attribute issue is unrelated to the pipeline missing _execution_device attribute." + }, + { + "left": "issue:11218", + "right": "issue:13035", + "accept": false, + "reason": "Both are import errors, but they involve different missing symbols from different packages: CogView4LoraLoaderMixin vs MT5Tokenizer." + }, + { + "left": "issue:11370", + "right": "issue:7782", + "accept": false, + "reason": "Both are conversion/unpickling errors, but one is for hunyuan video conversion and the other is a safetensors conversion invalid load key. Different file formats/workflows." + }, + { + "left": "issue:12414", + "right": "issue:4304", + "accept": false, + "reason": "One is a validation/metrics feature request for text-to-image LoRA; the other is a request for SDXL Text-to-Image LoRA training support. Not duplicates." + }, + { + "left": "issue:1264", + "right": "issue:6607", + "accept": false, + "reason": "The first asks about a hard-coded noise scheduler in dreambooth training; the second is a clarification on a scheduler mismatch in train_controlnet.py. Related theme, different issue." + }, + { + "left": "issue:13067", + "right": "issue:6158", + "accept": false, + "reason": "Both are feature requests, but one asks for Anima support and the other for SDXL support in animatediff. Different requested capabilities." + }, + { + "left": "issue:2871", + "right": "issue:776", + "accept": false, + "reason": "Both concern image-to-image/inpainting behavior, but one is about latent output handling in inpainting and the other about batch_size > 1 in img2img. Different bugs." + }, + { + "left": "issue:2880", + "right": "issue:639", + "accept": false, + "reason": "JAX Colab runtime failure is unrelated to latent diffusion parameter initialization mismatch; only loosely connected by SD-related terminology." + }, + { + "left": "issue:3689", + "right": "issue:4630", + "accept": false, + "reason": "Both concern LoRA weights, but one asks how to unload them and the other how to modify them after loading. Different functionality requests." + }, + { + "left": "issue:4073", + "right": "issue:6298", + "accept": false, + "reason": "These are unrelated attribute/type errors in different pipelines: DeepFloyd IF safety checker vs GLIGEN CLIPImageProjection." + }, + { + "left": "issue:5862", + "right": "issue:7185", + "accept": false, + "reason": "Gradient checkpointing support for Transformer2DModel is unrelated to the question of whether diffusers supports PyTorch 2.2.0." + }, + { + "left": "issue:5873", + "right": "issue:7418", + "accept": false, + "reason": "ONNX export failure for scaled_dot_product_attention is unrelated to a bug in a community upscale LDM3D pipeline file." + }, + { + "left": "issue:6382", + "right": "issue:7799", + "accept": false, + "reason": "Both involve adapter-related shape/key issues, but one is an IP-Adapter key error after LCM LoRA training and the other is a matmul size mismatch in InstructPix2Pix with IP-Adapter. Different paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 73, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10049", + "issue:1962", + "issue:200", + "issue:201", + "issue:2015", + "issue:202", + "issue:2272", + "issue:2838", + "issue:338", + "issue:339", + "issue:3580", + "issue:3593", + "issue:3728", + "issue:3970", + "issue:4109", + "issue:4241", + "issue:4312", + "issue:4375", + "issue:4399", + "issue:5227", + "issue:6096", + "issue:6331", + "issue:6423", + "issue:6549", + "issue:6811", + "issue:6818", + "issue:692", + "issue:7146", + "issue:7147", + "issue:7168", + "issue:7303", + "issue:7766", + "issue:7799", + "issue:8307", + "issue:8577", + "issue:8655", + "issue:8667", + "issue:8700", + "issue:8710", + "issue:8788", + "issue:8813", + "issue:8975", + "issue:9067", + "issue:9115", + "issue:9448", + "issue:945", + "issue:9497", + "issue:9501" + ], + "soft_pairs": [ + "issue:7146|issue:9115", + "issue:7168|issue:7766", + "issue:7799|issue:9448", + "issue:8307|issue:9067", + "issue:4312|issue:6331", + "issue:4241|issue:692", + "issue:338|issue:339", + "issue:200|issue:201", + "issue:4241|issue:7303", + "issue:4375|issue:4399", + "issue:3580|issue:3593", + "issue:201|issue:202", + "issue:2272|issue:945", + "issue:3970|issue:4109", + "issue:8577|issue:8813", + "issue:8700|issue:8710", + "issue:9497|issue:9501", + "issue:2015|issue:3728", + "issue:6549|issue:6818", + "issue:8667|issue:8788", + "issue:2838|issue:6423", + "issue:2838|issue:7303", + "issue:10049|issue:7147", + "issue:1962|issue:3728", + "issue:5227|issue:6096", + "issue:6811|issue:8655", + "issue:10049|issue:8975" + ], + "prepared_review_unit_hash": "0aeef8e38a1472e3071fc158fe59b038ffd14139754a1add4f0d372b23546fec", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 34029, + "estimated_input_tokens": 8508, + "estimated_eval_tokens": 17272 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issues across different pipelines and bug classes. The SAG inpainting pair is closely related, but the available evidence is not enough to treat it as a confirmed duplicate/subsumption, so it should stay rejected as a soft edge.", + "confidence": 0.81, + "canonical_issue_reason": "issue:4312 is the broadest SAG-related request in the set, covering inpainting plus img2img, so it is the best umbrella representative without assuming it fully subsumes 6331.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:4312 is the best global issue representative because it is the most general SAG request among the issues, even though the evidence does not justify merging it with 6331 as a duplicate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7146", + "right": "issue:9115", + "accept": false, + "reason": "Different failures and code paths: SDXL fine-tuning CUDA OOM vs AnimateDiff-Lightning / motion adapter inference error." + }, + { + "left": "issue:7168", + "right": "issue:7766", + "accept": false, + "reason": "Both involve IP-Adapter, but one asks about image embeddings while the other is a FaceID Plus usage question; not the same bug." + }, + { + "left": "issue:7799", + "right": "issue:9448", + "accept": false, + "reason": "Both are IP-Adapter-related, but they fail differently in different pipelines: matmul size mismatch vs tuple.shape AttributeError." + }, + { + "left": "issue:8307", + "right": "issue:9067", + "accept": false, + "reason": "Unrelated import errors for different symbols/modules: StableCascadeUNet missing vs diffusers.hub_utils missing." + }, + { + "left": "issue:4312", + "right": "issue:6331", + "accept": false, + "reason": "Closely related SAG inpainting requests, but the evidence only supports a broader/narrower relationship, not a clear duplicate or subsumption." + }, + { + "left": "issue:4241", + "right": "issue:692", + "accept": false, + "reason": "General fine-tuning support question vs a request for an example; not the same issue." + }, + { + "left": "issue:338", + "right": "issue:339", + "accept": false, + "reason": "Different test requests for different schedulers (LMS Discrete vs Karras VE)." + }, + { + "left": "issue:200", + "right": "issue:201", + "accept": false, + "reason": "Different test targets: resnet class vs attention class." + }, + { + "left": "issue:4241", + "right": "issue:7303", + "accept": false, + "reason": "Fine-tuning/LoRA question is unrelated to scheduler zero_snr behavior from from_pretrained." + }, + { + "left": "issue:4375", + "right": "issue:4399", + "accept": false, + "reason": "Both mention torch.compile, but they describe different failures: generic inference crash vs CPU offload incompatibility." + }, + { + "left": "issue:3580", + "right": "issue:3593", + "accept": false, + "reason": "Related xformers/torch 2.0 area, but the concrete failures differ: general TypeError vs LoRA second-call failure." + }, + { + "left": "issue:201", + "right": "issue:202", + "accept": false, + "reason": "Different test additions for different files/components." + }, + { + "left": "issue:2272", + "right": "issue:945", + "accept": false, + "reason": "Same ONNX converter area, but one is a conversion failure and the other is custom checkpoint support; not the same concrete bug." + }, + { + "left": "issue:3970", + "right": "issue:4109", + "accept": false, + "reason": "Different SDXL issues: prompt embeddings not working vs inpaint pipeline not working." + }, + { + "left": "issue:8577", + "right": "issue:8813", + "accept": false, + "reason": "Same technique name but different model-specific requests (SD3 vs Kolors), so not the same underlying change." + }, + { + "left": "issue:8700", + "right": "issue:8710", + "accept": false, + "reason": "Both are PAG requests, but for different pipelines/models and not one concrete fix." + }, + { + "left": "issue:9497", + "right": "issue:9501", + "accept": false, + "reason": "Distinct Dreambooth Flux training problems: mat2 shape error vs delayed model saving." + }, + { + "left": "issue:2015", + "right": "issue:3728", + "accept": false, + "reason": "Different pipeline proposals: categorical diffusion vs shifted diffusion text-to-image." + }, + { + "left": "issue:6549", + "right": "issue:6818", + "accept": false, + "reason": "Both involve IP-Adapter/LoRA, but one is warning logs and the other is an unload-method construction error." + }, + { + "left": "issue:8667", + "right": "issue:8788", + "accept": false, + "reason": "Both concern non-power-of-two SD3 images, but one is a ControlNet tensor mismatch and the other is a VAE tiling support question." + }, + { + "left": "issue:2838", + "right": "issue:6423", + "accept": false, + "reason": "Unrelated topics: controlnet pipeline behavior vs inability to reproduce fill50k results." + }, + { + "left": "issue:2838", + "right": "issue:7303", + "accept": false, + "reason": "No shared underlying bug; the controlnet request is unrelated to scheduler zero_snr behavior." + }, + { + "left": "issue:10049", + "right": "issue:7147", + "accept": false, + "reason": "Different import errors for different pipeline classes, so they are not the same bug." + }, + { + "left": "issue:1962", + "right": "issue:3728", + "accept": false, + "reason": "Different feature requests: video generation with stable diffusion vs a shifted diffusion text-to-image pipeline." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The clustering is mostly conservative, but one edge is too strong for the evidence provided: issue:4312 vs issue:6331 is marked accept=true and described as an \"accepted duplicate pair\" even though the packet only gives titles/body lengths and the pair is not deterministically accepted. At this level of evidence it is safer to call them closely related or a likely parent/narrower pair, not a clear duplicate/subsumption. The rest of the verdicts look appropriately cautious." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 74, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10798", + "issue:10833", + "issue:10940", + "issue:12412", + "issue:13232", + "issue:1572", + "issue:1677", + "issue:202", + "issue:2984", + "issue:3094", + "issue:337", + "issue:338", + "issue:339", + "issue:3432", + "issue:3453", + "issue:3706", + "issue:3728", + "issue:4042", + "issue:4185", + "issue:4206", + "issue:4305", + "issue:4356", + "issue:4731", + "issue:4779", + "issue:4828", + "issue:5227", + "issue:5314", + "issue:5433", + "issue:5689", + "issue:5889", + "issue:6069", + "issue:6232", + "issue:6914", + "issue:7209", + "issue:7243", + "issue:7330", + "issue:7681", + "issue:7690", + "issue:7716", + "issue:7931", + "issue:8493", + "issue:8589", + "issue:8723", + "issue:8827", + "issue:8828", + "issue:9148", + "issue:9202", + "issue:993" + ], + "soft_pairs": [ + "issue:7931|issue:9202", + "issue:5433|issue:5689", + "issue:4731|issue:5227", + "issue:5314|issue:9148", + "issue:8493|issue:8723", + "issue:4185|issue:4206", + "issue:7690|issue:7716", + "issue:1572|issue:337", + "issue:3706|issue:3728", + "issue:3728|issue:4779", + "issue:6914|issue:8827", + "issue:3094|issue:3453", + "issue:10940|issue:7681", + "issue:2984|issue:7243", + "issue:3432|issue:7330", + "issue:12412|issue:13232", + "issue:4305|issue:4356", + "issue:1677|issue:993", + "issue:4828|issue:7209", + "issue:4042|issue:5314", + "issue:202|issue:338", + "issue:202|issue:339", + "issue:8589|issue:8828", + "issue:2984|issue:5889", + "issue:6069|issue:6232", + "issue:10798|issue:10833" + ], + "prepared_review_unit_hash": "226523d36011914e6d475d0f2928a9b144698f6541626a320c4a18cbb8ca144a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34501, + "estimated_input_tokens": 8626, + "estimated_eval_tokens": 17508 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a mixed set of largely unrelated issues. Only two soft pairs look like true duplicates: the DPM++/SDXL artifact reports and the from_single_file offline loading ConnectionErrors. No PRs are present.", + "confidence": 0.71, + "canonical_issue_reason": "issue:5433 is the clearest representative of a real duplicate pair: its DPM++/SDXL visual-artifact symptom is directly echoed by issue:5689\u2019s residual-noise report.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5433 is the best issue candidate overall because it is concrete, user-facing, and the strongest duplicate signal in the set; it also has substantial discussion activity.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7931", + "right": "issue:9202", + "accept": false, + "reason": "Same general IP-Adapter/SDXL area, but different pipelines and failure modes; not the same concrete bug." + }, + { + "left": "issue:5433", + "right": "issue:5689", + "accept": true, + "reason": "Both report the same DPM++/SDXL output-quality bug: artifacts/residual noise without the refiner model." + }, + { + "left": "issue:4731", + "right": "issue:5227", + "accept": false, + "reason": "Both involve torch.compile, but one is multi-controlnet SDXL graph failure and the other is load_lora_weight behavior; different bugs." + }, + { + "left": "issue:5314", + "right": "issue:9148", + "accept": false, + "reason": "Different feature requests: ControlNet reference inpainting versus Flux inpainting support." + }, + { + "left": "issue:8493", + "right": "issue:8723", + "accept": false, + "reason": "Both concern SD3 model initialization/loading, but one is SD3Transformer2DModel state_dict loading and the other is SD3ControlNetModel construction; not the same issue." + }, + { + "left": "issue:4185", + "right": "issue:4206", + "accept": false, + "reason": "Both mention SDXL ControlNet, but one is black images at inference and the other is training being broken; different failures." + }, + { + "left": "issue:7690", + "right": "issue:7716", + "accept": false, + "reason": "Both are model-loading errors, but one is tokenizer loading and the other is missing config.json in a local directory." + }, + { + "left": "issue:1572", + "right": "issue:337", + "accept": false, + "reason": "Both mention img2img/inpainting, but the titles point to different pipelines and symptom scopes; not enough to treat as the same bug." + }, + { + "left": "issue:3706", + "right": "issue:3728", + "accept": false, + "reason": "Different model/pipeline proposals: Wuerstchen versus Shifted Diffusion." + }, + { + "left": "issue:3728", + "right": "issue:4779", + "accept": false, + "reason": "Unrelated features: text-to-image shifted diffusion versus image-to-video pipeline." + }, + { + "left": "issue:6914", + "right": "issue:8827", + "accept": false, + "reason": "Both are IP-Adapter-FaceID related, but one is an offload/tensor-shape AttributeError and the other is a generic usage error; not the same bug." + }, + { + "left": "issue:3094", + "right": "issue:3453", + "accept": false, + "reason": "Both are training/runtime errors, but the concrete failures differ: OOM versus bfloat16 triu/tril kernel support." + }, + { + "left": "issue:10940", + "right": "issue:7681", + "accept": false, + "reason": "Both are import failures, but they involve different missing dependencies and unrelated code paths." + }, + { + "left": "issue:2984", + "right": "issue:7243", + "accept": false, + "reason": "Different projects/features entirely: latent video diffusion versus ResAdapter." + }, + { + "left": "issue:3432", + "right": "issue:7330", + "accept": false, + "reason": "Both are fp16-related training errors, but they are different runtime failures in different scripts." + }, + { + "left": "issue:12412", + "right": "issue:13232", + "accept": false, + "reason": "Separate support requests for different models, not the same underlying change." + }, + { + "left": "issue:4305", + "right": "issue:4356", + "accept": false, + "reason": "Both are version-related regressions, but one is a torch.compile graph break and the other is a missing dummy module import." + }, + { + "left": "issue:1677", + "right": "issue:993", + "accept": false, + "reason": "Both mention dtype mismatches, but the contexts and failure modes are different." + }, + { + "left": "issue:4828", + "right": "issue:7209", + "accept": true, + "reason": "Both describe the same from_single_file network/loading regression, with issue:7209 spelling out the offline local safetensor ConnectionError variant." + }, + { + "left": "issue:4042", + "right": "issue:5314", + "accept": false, + "reason": "Related around reference/inpainting workflows, but one is a combination question and the other is a specific pipeline request." + }, + { + "left": "issue:202", + "right": "issue:338", + "accept": false, + "reason": "Completely unrelated test additions." + }, + { + "left": "issue:202", + "right": "issue:339", + "accept": false, + "reason": "Completely unrelated test additions." + }, + { + "left": "issue:8589", + "right": "issue:8828", + "accept": false, + "reason": "Different SD3 training problems: prior preservation versus a general 16GB training error." + }, + { + "left": "issue:6069", + "right": "issue:6232", + "accept": false, + "reason": "Both concern scheduler.add_noise, but they affect different schedulers and settings; not the same concrete bug." + }, + { + "left": "issue:10798", + "right": "issue:10833", + "accept": false, + "reason": "Both involve Flux plus bitsandbytes quantization, but one is a device-combination bug and the other is a matrix-shape multiplication error in FluxFillPipeline." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft-edge calls. The two accepted duplicate-like pairs are plausible from the titles, and the rejected pairs are reasonably distinguished by concrete failure mode or feature scope. No PRs are present, which is correctly noted." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 75, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10321", + "issue:1062", + "issue:1076", + "issue:11258", + "issue:1185", + "issue:12348", + "issue:12369", + "issue:12529", + "issue:13351", + "issue:1962", + "issue:2163", + "issue:2674", + "issue:3124", + "issue:3357", + "issue:3565", + "issue:3638", + "issue:3639", + "issue:3698", + "issue:4631", + "issue:4731", + "issue:4912", + "issue:5075", + "issue:5227", + "issue:5628", + "issue:5687", + "issue:6149", + "issue:6415", + "issue:6561", + "issue:6794", + "issue:7021", + "issue:7219", + "issue:7330", + "issue:7417", + "issue:7569", + "issue:7646", + "issue:7799", + "issue:8503", + "issue:8827", + "issue:8839", + "issue:9025", + "issue:9038", + "issue:9148", + "issue:9171", + "issue:9202", + "issue:9264", + "issue:9303", + "issue:9332" + ], + "soft_pairs": [ + "issue:3638|issue:3639", + "issue:8503|issue:8839", + "issue:6149|issue:6415", + "issue:7330|issue:7646", + "issue:3357|issue:5227", + "issue:1076|issue:1962", + "issue:7799|issue:9202", + "issue:7219|issue:9303", + "issue:3357|issue:4731", + "issue:9171|issue:9332", + "issue:12369|issue:13351", + "issue:9148|issue:9264", + "issue:5628|issue:5687", + "issue:4631|issue:5075", + "issue:6561|issue:8827", + "issue:12348|issue:12529", + "issue:3698|issue:4912", + "issue:9025|issue:9038", + "issue:2674|issue:3124", + "issue:10321|issue:11258", + "issue:6794|issue:7021", + "issue:7417|issue:7569", + "issue:1062|issue:1185", + "issue:2163|issue:3565" + ], + "prepared_review_unit_hash": "8a0c71a6b83800e8af7a57ff23983e7b54797fd5003234a10aa770bdf8ec70ae", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33192, + "estimated_input_tokens": 8298, + "estimated_eval_tokens": 16852 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated feature requests or bug reports. Clear duplicate/near-duplicate pairs are the Dreambooth reproducibility reports and the Flux inpainting requests; a Karras-sigmas timestep bug pair also looks likely to be the same underlying scheduler issue.", + "confidence": 0.78, + "canonical_issue_reason": "issue:1185 is the cleanest representative of the Dreambooth reproducibility duplicate pair: it states the symptom directly and covers the broader complaint raised in issue:1062.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9171 is the strongest standalone issue overall: it describes a concrete regression, names the exact API, and has a specific model condition that makes it actionable.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3638", + "right": "issue:3639", + "accept": false, + "reason": "Different new pipeline proposals; same broad area, but not the same change." + }, + { + "left": "issue:8503", + "right": "issue:8839", + "accept": false, + "reason": "Both involve SD3, but they report different failures in different code paths." + }, + { + "left": "issue:6149", + "right": "issue:6415", + "accept": false, + "reason": "One is a load error for a specific IP-Adapter model, the other is a support/request issue for FaceID variants." + }, + { + "left": "issue:7330", + "right": "issue:7646", + "accept": false, + "reason": "Unrelated training-script issues: FP16 unscale error vs dataloader worker question." + }, + { + "left": "issue:3357", + "right": "issue:5227", + "accept": false, + "reason": "Both mention torch.compile, but they describe different compile failures and likely different root causes." + }, + { + "left": "issue:1076", + "right": "issue:1962", + "accept": false, + "reason": "Different topics; one is about stable-diffusion-v1-5, the other about video generation." + }, + { + "left": "issue:7799", + "right": "issue:9202", + "accept": false, + "reason": "Both are IP-Adapter shape issues, but they affect different pipelines and adapter variants." + }, + { + "left": "issue:7219", + "right": "issue:9303", + "accept": false, + "reason": "Both request upscaler-related features, but they are distinct models/tools, not the same change." + }, + { + "left": "issue:3357", + "right": "issue:4731", + "accept": false, + "reason": "Different compile failures in different scenarios; same subsystem, not the same bug." + }, + { + "left": "issue:9171", + "right": "issue:9332", + "accept": false, + "reason": "Both are loading regressions, but they concern different APIs and different failure modes." + }, + { + "left": "issue:12369", + "right": "issue:13351", + "accept": false, + "reason": "Different feature requests in the Wan ecosystem; no shared underlying bug/change." + }, + { + "left": "issue:9148", + "right": "issue:9264", + "accept": true, + "reason": "Same underlying feature request: add Flux inpainting support." + }, + { + "left": "issue:5628", + "right": "issue:5687", + "accept": true, + "reason": "Both describe Karras-sigmas timestep generation bugs causing offsets/duplicate timesteps; same scheduler root cause is plausible." + }, + { + "left": "issue:4631", + "right": "issue:5075", + "accept": false, + "reason": "Different runtime errors and different affected components; only share a broad SDXL/solver context." + }, + { + "left": "issue:6561", + "right": "issue:8827", + "accept": false, + "reason": "Different IP-Adapter problems: missing model files vs FaceID SDXL usage error." + }, + { + "left": "issue:12348", + "right": "issue:12529", + "accept": false, + "reason": "Both mention tensor mismatch, but they involve different Wan pipelines and different failure conditions." + }, + { + "left": "issue:3698", + "right": "issue:4912", + "accept": false, + "reason": "Both are conversion-related, but one is about inpainting model conversion and the other about custom SDXL checkpoint conversion." + }, + { + "left": "issue:9025", + "right": "issue:9038", + "accept": false, + "reason": "Unrelated FlaxStableDiffusionPipeline questions: single-file loading vs prompt weighting." + }, + { + "left": "issue:2674", + "right": "issue:3124", + "accept": false, + "reason": "Different model-conversion/load problems; not the same underlying bug." + }, + { + "left": "issue:10321", + "right": "issue:11258", + "accept": false, + "reason": "One is a concrete missing-weights load error, the other reads like a single-file support request; not clearly the same issue." + }, + { + "left": "issue:6794", + "right": "issue:7021", + "accept": false, + "reason": "Different import/env problems with no shared failure path." + }, + { + "left": "issue:7417", + "right": "issue:7569", + "accept": false, + "reason": "Both fail on Mac, but they are different tests and likely different causes." + }, + { + "left": "issue:1062", + "right": "issue:1185", + "accept": true, + "reason": "Same underlying Dreambooth reproducibility complaint; the wording is nearly synonymous." + }, + { + "left": "issue:2163", + "right": "issue:3565", + "accept": false, + "reason": "Different training problems: dtype mismatch vs CUDA out-of-memory." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft-edge pairs. The accepted pairs (Dreambooth, Flux inpainting, and the Karras-sigmas scheduler case) are plausible from the titles alone, and the rejected pairs are generally framed as different APIs, features, or failure modes without overstating linkage. The best/canonical issue rationales are also supported by the titles provided." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 76, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10518", + "issue:10591", + "issue:10893", + "issue:1101", + "issue:11104", + "issue:11258", + "issue:11374", + "issue:228", + "issue:2471", + "issue:2531", + "issue:2603", + "issue:2689", + "issue:2780", + "issue:280", + "issue:2830", + "issue:2838", + "issue:2883", + "issue:3184", + "issue:3279", + "issue:3454", + "issue:3565", + "issue:3700", + "issue:3728", + "issue:3774", + "issue:4178", + "issue:4263", + "issue:4376", + "issue:4631", + "issue:4704", + "issue:5017", + "issue:5399", + "issue:5761", + "issue:5960", + "issue:5997", + "issue:6091", + "issue:6183", + "issue:6224", + "issue:6879", + "issue:7147", + "issue:7330", + "issue:8649", + "issue:9042", + "issue:938", + "issue:9410", + "issue:9443", + "issue:9551", + "issue:9665" + ], + "soft_pairs": [ + "issue:10893|issue:11374", + "issue:3728|issue:938", + "issue:5960|issue:5997", + "issue:6224|issue:7330", + "issue:4178|issue:4263", + "issue:10518|issue:10591", + "issue:3565|issue:3774", + "issue:4704|issue:6879", + "issue:8649|issue:9443", + "issue:7147|issue:9410", + "issue:4376|issue:6183", + "issue:11104|issue:11258", + "issue:3279|issue:3454", + "issue:10026|issue:9665", + "issue:2838|issue:5017", + "issue:2780|issue:3700", + "issue:5761|issue:6091", + "issue:2471|issue:2603", + "issue:1101|issue:280", + "issue:2830|issue:2883", + "issue:2531|issue:3184", + "issue:4631|issue:5399", + "issue:9042|issue:9551", + "issue:228|issue:2689" + ], + "prepared_review_unit_hash": "0b185750398ab0b4522e4a0111bea5201df87ca63c1d490ec17d24979c06f2b1", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33865, + "estimated_input_tokens": 8467, + "estimated_eval_tokens": 17190 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated issues/features; only a few soft pairs look like true duplicates (notably the SD3 LoRA training script pair, LoRA unloading pair, and the Attend-and-Excite size/padding pair).", + "confidence": 0.91, + "canonical_issue_reason": "No single canonical issue fits the whole cluster: the items span different models, pipelines, training scripts, scheduler requests, and link/documentation bugs. Any dedupe should be handled per accepted soft pair only.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue candidate; the cluster does not center on one underlying bug/change. The closest duplicate anchors are only local to their accepted pairs.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10893", + "right": "issue:11374", + "accept": false, + "reason": "Both are feature requests around control/video models, but they target different integrations (CogVideoX ControlNet vs SkyReels-V2 support) and are not the same change." + }, + { + "left": "issue:3728", + "right": "issue:938", + "accept": false, + "reason": "Different underlying requests: a text-to-image shifted diffusion pipeline vs a text-to-motion model. Same broad area, not the same bug/change." + }, + { + "left": "issue:5960", + "right": "issue:5997", + "accept": false, + "reason": "Different failures in different ControlNet SDXL tutorial/training paths; one is a cast warning during image processing, the other is a tokenizer/model-type instantiation error." + }, + { + "left": "issue:6224", + "right": "issue:7330", + "accept": false, + "reason": "Both are training-script failures, but they describe different code paths and errors (TorchDynamo vs FP16 unscale in LoRA fine-tuning)." + }, + { + "left": "issue:4178", + "right": "issue:4263", + "accept": true, + "reason": "Same underlying LoRA unloading bug; one report mentions the XFormers trigger, but both concern unloading LoRA weights failing in SD pipelines." + }, + { + "left": "issue:10518", + "right": "issue:10591", + "accept": true, + "reason": "Near-identical SD3 LoRA training script issue; titles indicate the same script and same vague bug report." + }, + { + "left": "issue:3565", + "right": "issue:3774", + "accept": false, + "reason": "Both mention memory, but one is a plain OOM in text-to-image training and the other is about ZeRO-3 not reducing memory; not the same bug." + }, + { + "left": "issue:4704", + "right": "issue:6879", + "accept": false, + "reason": "The second is a specific dtype-mismatch in Custom Diffusion; the first is only a broad failure report and does not clearly match the same root cause." + }, + { + "left": "issue:8649", + "right": "issue:9443", + "accept": false, + "reason": "Different SD3 problems: num_images_per_prompt handling vs tokenizer slow/fast instantiation error." + }, + { + "left": "issue:7147", + "right": "issue:9410", + "accept": false, + "reason": "Both are import errors, but for different pipeline classes and different models; not the same underlying issue." + }, + { + "left": "issue:4376", + "right": "issue:6183", + "accept": false, + "reason": "Different Stable Diffusion XL problems: textual inversion crash vs wrong shape when loading from a single file." + }, + { + "left": "issue:11104", + "right": "issue:11258", + "accept": false, + "reason": "Same model family (LTX) but different concrete problems: offload methods broken vs single-file loading." + }, + { + "left": "issue:3279", + "right": "issue:3454", + "accept": false, + "reason": "Same script, but one is a checkpoint-resume error and the other is a broader latest-version compatibility issue; not clearly the same bug." + }, + { + "left": "issue:10026", + "right": "issue:9665", + "accept": false, + "reason": "Both involve DeepSpeed/training, but one is a Flux ControlNet memory scaling complaint and the other is about accelerator.prepare() behavior; different code-path problems." + }, + { + "left": "issue:2838", + "right": "issue:5017", + "accept": false, + "reason": "Both reference ControlNet, but one asks for a pipeline mode that ignores control while the other requests a control mode; related topic, not the same change." + }, + { + "left": "issue:2780", + "right": "issue:3700", + "accept": false, + "reason": "Same LoRA text-to-image script, but the reported bugs are different: FP16 gradient unscale vs min_snr argument support." + }, + { + "left": "issue:5761", + "right": "issue:6091", + "accept": false, + "reason": "Both mention consistency decoder, but one is about cost/performance and the other about a size-related memory issue; not the same underlying defect." + }, + { + "left": "issue:2471", + "right": "issue:2603", + "accept": true, + "reason": "Same Attend-and-Excite size-handling bug: both describe the pipeline failing when the output size is not the default/square size." + }, + { + "left": "issue:1101", + "right": "issue:280", + "accept": false, + "reason": "Separate scheduler feature requests (DPM-Solver vs DEIS); same area, different additions." + }, + { + "left": "issue:2830", + "right": "issue:2883", + "accept": false, + "reason": "Both are video-generation related, but one asks about using a specific model for image+text-to-video and the other is a generic image-to-video pipeline request." + }, + { + "left": "issue:2531", + "right": "issue:3184", + "accept": false, + "reason": "Same community pipeline name, but different failures: meta-tensor/offload error vs generator-list support." + }, + { + "left": "issue:4631", + "right": "issue:5399", + "accept": false, + "reason": "Completely different bugs: scheduler scalar conversion error vs custom inpainting dtype mismatch." + }, + { + "left": "issue:9042", + "right": "issue:9551", + "accept": false, + "reason": "Feature request for a Flux pipeline vs usage question about Flux ControlNet models; not the same underlying change." + }, + { + "left": "issue:228", + "right": "issue:2689", + "accept": false, + "reason": "Both are broken links, but they refer to different assets and unrelated fixes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The global-cluster assessment is reasonable, and the accepted soft pairs are plausible duplicates based on the titles alone. I don\u2019t see any overstatement that would force a rejection." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 77, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10150", + "issue:10302", + "issue:10334", + "issue:10462", + "issue:10674", + "issue:10797", + "issue:10914", + "issue:11229", + "issue:12037", + "issue:12047", + "issue:12358", + "issue:1594", + "issue:1962", + "issue:201", + "issue:2722", + "issue:3382", + "issue:3406", + "issue:3453", + "issue:3468", + "issue:3694", + "issue:3728", + "issue:3826", + "issue:4305", + "issue:4427", + "issue:4686", + "issue:4708", + "issue:4731", + "issue:4874", + "issue:5061", + "issue:5108", + "issue:5219", + "issue:5374", + "issue:5886", + "issue:6008", + "issue:6096", + "issue:6427", + "issue:6561", + "issue:671", + "issue:7021", + "issue:7223", + "issue:8503", + "issue:8649", + "issue:8787", + "issue:8839", + "issue:9303", + "issue:9850", + "issue:9873" + ], + "soft_pairs": [ + "issue:12037|issue:12047", + "issue:201|issue:3406", + "issue:5886|issue:6561", + "issue:10674|issue:10797", + "issue:3382|issue:3453", + "issue:4305|issue:6008", + "issue:5061|issue:5374", + "issue:1594|issue:1962", + "issue:5219|issue:6427", + "issue:8649|issue:8839", + "issue:3728|issue:7223", + "issue:8503|issue:9850", + "issue:12358|issue:9873", + "issue:10302|issue:10914", + "issue:3468|issue:3694", + "issue:10334|issue:11229", + "issue:10462|issue:9303", + "issue:3728|issue:3826", + "issue:4686|issue:4874", + "issue:10150|issue:8787", + "issue:4731|issue:6096", + "issue:2722|issue:671", + "issue:4427|issue:5108", + "issue:4708|issue:7021" + ], + "prepared_review_unit_hash": "9311f3e4e6007c78efe4fec13704a03644af834103e25b463da72751a7ea1163", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33013, + "estimated_input_tokens": 8254, + "estimated_eval_tokens": 16764 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Only one pair looks like the same underlying bug: the general model-loading slowdown report and the SDXL-specific slow loading/inference report. The rest are keyword-similar but describe different models, pipelines, or feature requests, so they should stay separate.", + "confidence": 0.83, + "canonical_issue_reason": "issue:8787 is the broadest and earliest representative of the loading-performance regression theme; issue:10150 reads like a narrower SDXL-specific instance of the same slowdown.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8787 best fits as the representative issue because it captures the shared slow-loading problem without overfitting to one model family.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12037", + "right": "issue:12047", + "accept": false, + "reason": "Both mention Lightx2v/Wan2.2, but one is a compatibility problem and the other is a GGUF fuse failure; different concrete bugs." + }, + { + "left": "issue:201", + "right": "issue:3406", + "accept": false, + "reason": "Same attention subsystem, but one is a test item and the other is a runtime bug with only_cross_attention=True; not the same issue." + }, + { + "left": "issue:5886", + "right": "issue:6561", + "accept": false, + "reason": "One is a request to support a face model, the other is a missing config.json load error for IP-Adapter; different problems." + }, + { + "left": "issue:10674", + "right": "issue:10797", + "accept": false, + "reason": "Different pipelines and failure modes: Flux GGUF support vs HunyuanVideo group_offloading not working." + }, + { + "left": "issue:3382", + "right": "issue:3453", + "accept": false, + "reason": "Both are training-time errors, but one is multi-GPU OOM and the other is a BFloat16 CUDA kernel limitation; unrelated root causes." + }, + { + "left": "issue:4305", + "right": "issue:6008", + "accept": false, + "reason": "torch.compile graph-break regression and IP-Adapter+LCM face failure are unrelated bugs." + }, + { + "left": "issue:5061", + "right": "issue:5374", + "accept": false, + "reason": "Both are CLI argument errors, but they affect different conversion paths and different arguments." + }, + { + "left": "issue:1594", + "right": "issue:1962", + "accept": false, + "reason": "One is an img2img-for-video feature request, the other is a general video-generation request; not the same change." + }, + { + "left": "issue:5219", + "right": "issue:6427", + "accept": false, + "reason": "Both involve model conversion/loading, but one is failing to load an SDXL safetensors model and the other is a diffusers-to-ckpt conversion bug." + }, + { + "left": "issue:8649", + "right": "issue:8839", + "accept": false, + "reason": "Both are SD3 issues, but one is num_images_per_prompt handling and the other is a LoRA weight error; distinct code paths." + }, + { + "left": "issue:3728", + "right": "issue:7223", + "accept": false, + "reason": "Separate new-pipeline requests for different video models; same broad area, different artifacts." + }, + { + "left": "issue:8503", + "right": "issue:9850", + "accept": false, + "reason": "One reports gradient-checkpointing crashes; the other is a feature request to make checkpointing work with frozen models." + }, + { + "left": "issue:12358", + "right": "issue:9873", + "accept": false, + "reason": "Two different pipeline requests for different models (Lumina-DiMOO vs OmniGen)." + }, + { + "left": "issue:10302", + "right": "issue:10914", + "accept": false, + "reason": "FP8 noise without CPU offloading and unintended CPU offloading are related to offload behavior but not the same bug." + }, + { + "left": "issue:3468", + "right": "issue:3694", + "accept": false, + "reason": "Both mention missing model_index.json/config files after finetuning, but they involve different training scripts and outputs; too weak to treat as the same bug." + }, + { + "left": "issue:10334", + "right": "issue:11229", + "accept": false, + "reason": "Both are MPS/NaN reports, but one is Sana on macOS and the other is SDXL with attention slicing; different models and triggers." + }, + { + "left": "issue:10462", + "right": "issue:9303", + "accept": false, + "reason": "A customization request for CogVideoX-5B and a VEnhancer pipeline request are distinct feature additions." + }, + { + "left": "issue:3728", + "right": "issue:3826", + "accept": false, + "reason": "Different new pipeline proposals for different domains; not the same change." + }, + { + "left": "issue:4686", + "right": "issue:4874", + "accept": false, + "reason": "Both are StableDiffusionUpscalePipeline/local-load issues, but one is a failed from_pretrained load and the other is a low_res_scheduler bug; not enough to merge." + }, + { + "left": "issue:10150", + "right": "issue:8787", + "accept": true, + "reason": "Both describe the same slow-loading regression; 10150 is a more specific SDXL loading/inference report and 8787 is the broader generic slowdown report." + }, + { + "left": "issue:4731", + "right": "issue:6096", + "accept": false, + "reason": "Different compile-time failures: multi-ControlNet graph break vs SVD DynamicOutputShapeException." + }, + { + "left": "issue:2722", + "right": "issue:671", + "accept": false, + "reason": "Both concern converted models differing from expectations, but they are about different conversion workflows and model families." + }, + { + "left": "issue:4427", + "right": "issue:5108", + "accept": false, + "reason": "Both are Multiadapter-related, but one is a T2I example and the other is XL exceptions; not the same concrete bug." + }, + { + "left": "issue:4708", + "right": "issue:7021", + "accept": false, + "reason": "Import problems around diffusers/HF_HOME, but the titles point to different import/config issues and no shared concrete failure." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the one accepted pair (10150/8787) is supported by the titles/body context as the same loading-performance regression at different specificity levels. The remaining soft-edge calls stay conservative: they consistently separate similar-but-distinct model, pipeline, conversion, offloading, or compile-time issues without overstating identity." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 78, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10202", + "issue:10594", + "issue:10639", + "issue:1082", + "issue:11010", + "issue:11182", + "issue:11363", + "issue:11408", + "issue:12037", + "issue:12052", + "issue:12367", + "issue:12412", + "issue:1280", + "issue:1305", + "issue:13065", + "issue:1350", + "issue:1594", + "issue:2132", + "issue:2390", + "issue:2412", + "issue:2596", + "issue:2984", + "issue:3422", + "issue:3564", + "issue:3728", + "issue:3884", + "issue:4584", + "issue:4708", + "issue:4753", + "issue:4754", + "issue:4849", + "issue:488", + "issue:5168", + "issue:5284", + "issue:5576", + "issue:5623", + "issue:5849", + "issue:6073", + "issue:6565", + "issue:6741", + "issue:7646", + "issue:8511", + "issue:8594", + "issue:9546", + "issue:9576", + "issue:9628", + "issue:9643", + "issue:9876" + ], + "soft_pairs": [ + "issue:1280|issue:488", + "issue:12367|issue:13065", + "issue:1594|issue:2984", + "issue:1305|issue:1350", + "issue:4584|issue:5849", + "issue:5168|issue:5284", + "issue:3728|issue:5576", + "issue:8511|issue:9876", + "issue:11182|issue:9576", + "issue:4754|issue:4849", + "issue:12037|issue:12052", + "issue:10639|issue:12412", + "issue:2596|issue:4708", + "issue:3422|issue:5623", + "issue:8594|issue:9628", + "issue:11010|issue:11408", + "issue:3884|issue:7646", + "issue:2132|issue:4753", + "issue:2390|issue:3564", + "issue:10202|issue:10594", + "issue:1082|issue:2412", + "issue:11363|issue:9546", + "issue:2412|issue:6073", + "issue:11010|issue:9643", + "issue:6565|issue:6741" + ], + "prepared_review_unit_hash": "acbedd8dd9e1537d556dcf0a2d2daba7cd5ba73464515a9fb86e05f294b906bc", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33972, + "estimated_input_tokens": 8493, + "estimated_eval_tokens": 17242 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose thematic mix of image-model support requests and unrelated training/runtime bugs. 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but one is an Eligen LoRA support request and the other is about inpaint+canny controlnet composition." + }, + { + "left": "issue:1594", + "right": "issue:2984", + "accept": false, + "reason": "Both are video-generation related, but one asks for img2img video generation while the other is about Latent Video Diffusion as a model/paper support request." + }, + { + "left": "issue:1305", + "right": "issue:1350", + "accept": false, + "reason": "These are unrelated domains: direct inversion image editing versus object detection with DiffusionDet." + }, + { + "left": "issue:4584", + "right": "issue:5849", + "accept": false, + "reason": "Same script family, but one is a resume-from-checkpoint bug and the other is an argparse/main signature error; not the same underlying defect." + }, + { + "left": "issue:5168", + "right": "issue:5284", + "accept": false, + "reason": "Different ControlNet variants are requested; similarity is only at the broad ControlNet support level." + }, + { + "left": "issue:3728", + "right": "issue:5576", + "accept": false, + "reason": "Both propose new diffusion techniques, but they are distinct scheduler/method requests with no shared concrete bug or patch." + }, + { + "left": "issue:8511", + "right": "issue:9876", + "accept": false, + "reason": "Both relate to LoRA/training memory, but one is specifically about unloading text encoders in SD3 scripts and the other is a general VRAM-release complaint." + }, + { + "left": "issue:11182", + "right": "issue:9576", + "accept": false, + "reason": "These are separate loading issues: an unnecessary BF16 download versus a missing use_safetensors propagation bug." + }, + { + "left": "issue:4754", + "right": "issue:4849", + "accept": false, + "reason": "Textual inversion save/load failure is unrelated to the multi-GPU training question." + }, + { + "left": "issue:12037", + "right": "issue:12052", + "accept": false, + "reason": "Both involve Wan 2.2 and LightX2V, but one is LoRA compatibility and the other is 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"right": "issue:2412", + "accept": false, + "reason": "Dreambooth CUDA execution failure and a generic dreambooth error are too broad to treat as the same bug." + }, + { + "left": "issue:11363", + "right": "issue:9546", + "accept": false, + "reason": "Both are OOM reports, but they occur in different Flux ControlNet examples and likely need different fixes." + }, + { + "left": "issue:2412", + "right": "issue:6073", + "accept": false, + "reason": "Both are dreambooth usage problems, but one is generic and the other is a beginner/readme-specific error report." + }, + { + "left": "issue:11010", + "right": "issue:9643", + "accept": false, + "reason": "A Flux model support request is not the same as the multiple-ControlNets compatibility question." + }, + { + "left": "issue:6565", + "right": "issue:6741", + "accept": false, + "reason": "DPO training instability and a missing no_flip argument are unrelated training-script issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 79, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10321", + "issue:10460", + "issue:10760", + "issue:10925", + "issue:11024", + "issue:11104", + "issue:11432", + "issue:12221", + "issue:12613", + "issue:12699", + "issue:1574", + "issue:2177", + "issue:2321", + "issue:2466", + "issue:2728", + "issue:3613", + "issue:378", + "issue:4704", + "issue:4837", + "issue:4852", + "issue:4911", + "issue:4993", + "issue:5227", + "issue:5558", + "issue:579", + "issue:6069", + "issue:6162", + "issue:6503", + "issue:6520", + "issue:6527", + "issue:6545", + "issue:6709", + "issue:7049", + "issue:7159", + "issue:7210", + 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No soft edge is strong enough to merge.", + "confidence": 0.42, + "canonical_issue_reason": "issue:11104 is the closest thing to a representative issue because it is a concrete, well-scoped bug report with a clear LTX-Video failure and discussion, but the overall group is too heterogeneous for a strong canonical choice.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11104 is the best single issue candidate for triage quality and specificity, but only weakly so; it does not subsume the other reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10321", + "right": "issue:11104", + "accept": false, + "reason": "Both mention LTX-Video, but one is a missing model file/load-path problem and the other is broken offload methods. Different failures, not the same bug." + }, + { + "left": "issue:10460", + "right": "issue:9370", + "accept": false, + "reason": "Different classes and different missing arguments (`mid_block_type` vs `pooled_projection`). Only a superficial API-shape similarity." + }, + { + "left": "issue:12221", + "right": "issue:9551", + "accept": false, + "reason": "Both are feature requests around controlnets, but they target different models/workflows and do not describe the same change." + }, + { + "left": "issue:2321", + "right": "issue:2466", + "accept": false, + "reason": "Model-copy/EMA behavior is unrelated to checkpoint retention limits in training examples." + }, + { + "left": "issue:10760", + "right": "issue:7210", + "accept": false, + "reason": "Import structure bug and `named_parameters` on a pipeline with accelerate are unrelated code paths." + }, + { + "left": "issue:11024", + "right": "issue:8307", + "accept": false, + "reason": "One is an IP-Adapter processor `.to()` issue; the other is a missing Stable Cascade symbol. Different bugs." + }, + { + "left": "issue:11432", + "right": "issue:9971", + "accept": false, + "reason": "`torch_dtype=\"auto\"` loading behavior is unrelated to DEISMultistepScheduler on FLUX." + }, + { + "left": "issue:6069", + "right": "issue:6527", + "accept": false, + "reason": "Both involve `add_noise`, but they are different schedulers and different failure descriptions; not enough to treat as the same bug." + }, + { + "left": "issue:5227", + "right": "issue:7159", + "accept": false, + "reason": "Both mention `torch.compile`, but one is LoRA loading and the other is fused LoRA inference. Distinct problems." + }, + { + "left": "issue:4993", + "right": "issue:9223", + "accept": false, + "reason": "Import-structure exposure and package dependency conflicts are unrelated." + }, + { + "left": "issue:378", + "right": "issue:579", + "accept": false, + "reason": "Textual Inversion issues, but one is a model-distribution/latent bug and the other is a missing `config.json` load failure." + }, + { + "left": "issue:4704", + "right": "issue:6709", + "accept": false, + "reason": "Same example family, but one is a general Custom Diffusion training failure and the other is a concept-list-specific bug." + }, + { + "left": "issue:6520", + "right": "issue:7538", + "accept": false, + "reason": "Blank validation outputs during adapter training are unrelated to a style-dataset training issue." + }, + { + "left": "issue:8939", + "right": "issue:9209", + "accept": false, + "reason": "Tokenizer load failure from a model repo is not the same as a network/mirror connectivity failure." + }, + { + "left": "issue:1574", + "right": "issue:3613", + "accept": false, + "reason": "Both are Dreambooth training complaints, but the environments and stated failure modes differ; not the same concrete bug." + }, + { + "left": "issue:4852", + "right": "issue:4911", + "accept": false, + "reason": "Loading a LoRA and loading a custom text encoder from single-file are different code paths and failures." + }, + { + "left": "issue:2177", + "right": "issue:2728", + "accept": false, + "reason": "Both are model-loading problems, but one is AutoencoderKL and the other UNet2DConditionModel safetensors loading; too different to merge." + }, + { + "left": "issue:6162", + "right": "issue:7355", + "accept": false, + "reason": "IP-Adapter shape mismatch and Stable Cascade arbitrary-resolution/bfloat16 issues are unrelated." + }, + { + "left": "issue:4837", + "right": "issue:861", + "accept": false, + "reason": "Both reference conversion scripts, but one is SDXL conversion and the other is a general ckpt conversion failure; not the same bug." + }, + { + "left": "issue:6503", + "right": "issue:6545", + "accept": false, + "reason": "Torch.compile compatibility for training scripts is unrelated to modularizing inference during/after training." + }, + { + "left": "issue:7049", + "right": "issue:9448", + "accept": false, + "reason": "Both are IP-Adapter example errors, but the exceptions and pipeline contexts differ; not clearly the same underlying bug." + }, + { + "left": "issue:10925", + "right": "issue:9237", + "accept": false, + "reason": "Both are FLUX Dreambooth-related, but one is a CLIPTextModel finetune issue and the other is a LoRA training issue." + }, + { + "left": "issue:5558", + "right": "issue:7348", + "accept": false, + "reason": "Same inpaint pipeline, but one is multiple-ControlNet artifacts and the other is scheduler weirdness. Different root causes." + }, + { + "left": "issue:12613", + "right": "issue:12699", + "accept": false, + "reason": "Both mention Wan 2.2, but one is NaNs in latent during i2v and the other is quality degradation across many prompts with a LoRA. Different bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 80, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10150", + "issue:10202", + "issue:10594", + "issue:11024", + "issue:11109", + "issue:11143", + "issue:11258", + "issue:11363", + "issue:11464", + "issue:11642", + "issue:12082", + "issue:12565", + "issue:12599", + "issue:1350", + "issue:1823", + "issue:228", + "issue:2984", + "issue:3019", + "issue:3728", + "issue:4061", + "issue:4141", + "issue:4194", + "issue:4303", + "issue:4305", + "issue:4354", + "issue:4376", + "issue:4418", + "issue:4492", + "issue:462", + "issue:4885", + "issue:5412", + "issue:6001", + "issue:6418", + "issue:6482", + "issue:6598", + "issue:7049", + "issue:7142", + "issue:7773", + "issue:7985", + "issue:8182", + "issue:8626", + "issue:8787", + "issue:8828", + "issue:8839", + "issue:8939", + "issue:941", + "issue:9525", + "issue:9732" + ], + "soft_pairs": [ + "issue:4305|issue:7985", + "issue:7049|issue:8626", + "issue:12082|issue:12565", + "issue:8828|issue:8839", + "issue:10150|issue:12599", + "issue:11642|issue:9525", + "issue:4303|issue:4376", + "issue:11024|issue:8182", + "issue:10202|issue:11464", + "issue:1823|issue:228", + "issue:3019|issue:3728", + "issue:8787|issue:9525", + "issue:11363|issue:9732", + "issue:4492|issue:8939", + "issue:1350|issue:2984", + "issue:6418|issue:7773", + "issue:6598|issue:7142", + "issue:4194|issue:4354", + "issue:10594|issue:11109", + "issue:4061|issue:4885", + "issue:5412|issue:6482", + "issue:4141|issue:4418", + "issue:462|issue:941", + "issue:11143|issue:11258", + "issue:4354|issue:6001" + ], + "prepared_review_unit_hash": "59935438ce69032ac2cacc4df0d416038b5070326d5d51ca449669a7d5d0ba95", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34296, + "estimated_input_tokens": 8574, + "estimated_eval_tokens": 17404 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a loose similarity cluster around loading/performance, LoRA, ControlNet, and model-specific inference issues. The items do not describe the same underlying bug, so no soft merges are justified.", + "confidence": 0.83, + "canonical_issue_reason": "issue:12599 is the broadest and most concrete performance/loading report in the set, with clear symptom and discussion. It best represents the shared 'slow loading / moving to CUDA' theme better than the more model-specific issues.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12599 is the strongest standalone issue for this cluster because it is specific enough to be actionable while still covering the central loading/performance complaint more generally than the SDXL/Wan2.1/LoRA-specific reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4305", + "right": "issue:7985", + "accept": false, + "reason": "Both mention compile/graph-break style problems, but one is a version-wide torch.compile regression and the other is IPAdapter-specific compatibility; not the same fix path." + }, + { + "left": "issue:7049", + "right": "issue:8626", + "accept": false, + "reason": "Both concern IP-Adapter usage, but one is a runtime unpacking error and the other is documentation/usage guidance for multiple images/masks." + }, + { + "left": "issue:12082", + "right": "issue:12565", + "accept": false, + "reason": "Both are Wan2.1 issues, but one is VAE memory after compile and the other is a broader i2v runtime problem; different failure modes." + }, + { + "left": "issue:8828", + "right": "issue:8839", + "accept": false, + "reason": "Both are SD3 training-related, but one is a training error and the other is a LoRA weight-loading issue; not the same bug." + }, + { + "left": "issue:10150", + "right": "issue:12599", + "accept": false, + "reason": "Both relate to slowness, but one is SDXL pipeline loading/inference performance and the other is slow CUDA transfer after loading; too different to merge." + }, + { + "left": "issue:11642", + "right": "issue:9525", + "accept": false, + "reason": "Both involve Flux LoRA scaling behavior, but one is Prompt/Redux pipeline scaling and the other is loading-time LoRA scale not taking effect; likely separate code paths." + }, + { + "left": "issue:4303", + "right": "issue:4376", + "accept": false, + "reason": "Both are SDXL-related crashes, but one is Flax loading SDXL and the other is textual inversion loading in the PyTorch pipeline; unrelated failures." + }, + { + "left": "issue:11024", + "right": "issue:8182", + "accept": false, + "reason": "These are unrelated API misuse/attribute error reports; one is SiglipImageProcessor lacking .to(), the other is a logger typo." + }, + { + "left": "issue:10202", + "right": "issue:11464", + "accept": false, + "reason": "Both mention FLUX Control/LoRA loading, but one is an unload/caching issue and the other is inability to load a specific LoRA into FluxControlPipeline; not clearly the same defect." + }, + { + "left": "issue:1823", + "right": "issue:228", + "accept": false, + "reason": "These are unrelated release/content issues: swapped comments versus a broken model link." + }, + { + "left": "issue:3019", + "right": "issue:3728", + "accept": false, + "reason": "Both are feature requests for different pipelines/models, not the same underlying bug or change." + }, + { + "left": "issue:8787", + "right": "issue:9525", + "accept": false, + "reason": "Both mention loading/LoRA performance, but one is generic model loading slowness and the other is Flux LoRA scale behavior; different issues." + }, + { + "left": "issue:11363", + "right": "issue:9732", + "accept": false, + "reason": "Both involve OOM on GPU, but one is a ControlNet inference example and the other is a Wan2.1/README_flux training guide; different workloads and fixes." + }, + { + "left": "issue:4492", + "right": "issue:8939", + "accept": false, + "reason": "These are unrelated tokenizer/logging failures: one is a JSON/Python boolean typo, the other is a tokenizer loading path problem." + }, + { + "left": "issue:1350", + "right": "issue:2984", + "accept": false, + "reason": "Both are requests/issues about diffusion models for video/object detection, but they are distinct model features and not the same bug." + }, + { + "left": "issue:6418", + "right": "issue:7773", + "accept": false, + "reason": "Both involve video generation quality/behavior, but one is finetuning outputs collapsing to the first frame and the other is batch-size-related generation bug; not the same root cause." + }, + { + "left": "issue:6598", + "right": "issue:7142", + "accept": false, + "reason": "Both are image-generation result mismatches, but one is general img2img discrepancy versus A1111 and the other is SDXL-lightning specific inference mismatch; too broad to unify." + }, + { + "left": "issue:4194", + "right": "issue:4354", + "accept": false, + "reason": "Both are from single-file loading, but one is VAE not working in StableDiffusionPipeline and the other is the returned pipeline type for SDXL inpaint/refiner; different bugs." + }, + { + "left": "issue:10594", + "right": "issue:11109", + "accept": false, + "reason": "Both mention control/LoRA interactions on FLUX, but one is about combining multiple controls with LoRA and the other is a transformer layer mismatch from depth LoRA; not the same defect." + }, + { + "left": "issue:4061", + "right": "issue:4885", + "accept": false, + "reason": "Both are SDXL LoRA loading problems, but one is generic SDXL load_lora error and the other is SDXL ControlNet img2img not loading LoRA weights; separate code paths." + }, + { + "left": "issue:5412", + "right": "issue:6482", + "accept": false, + "reason": "Both are resume_from_checkpoint training failures, but they surface different errors and likely different training bugs." + }, + { + "left": "issue:4141", + "right": "issue:4418", + "accept": false, + "reason": "Both concern controlnet/inpaint behavior, but one is ignoring a second controlnet and the other is denoising_start misbehavior in an inpaint pipeline; not the same change." + }, + { + "left": "issue:462", + "right": "issue:941", + "accept": false, + "reason": "Both are MPS-related image generation issues, but one is a broken img2img pipeline release and the other is num_images_per_prompt noise behavior; unrelated fixes." + }, + { + "left": "issue:11143", + "right": "issue:11258", + "accept": false, + "reason": "Both are LTX-Video related, but one reports poor generation quality and the other is a single-file model loading question; not the same underlying issue." + }, + { + "left": "issue:4354", + "right": "issue:6001", + "accept": false, + "reason": "Both are from from_single_file pipeline selection, but one is SDXL inpaint returning the wrong pipeline type and the other is refiner loading returning Img2ImgPipeline; similar area but different concrete bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 81, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1005", + "issue:10596", + "issue:1061", + "issue:10673", + "issue:10674", + "issue:10795", + "issue:10833", + "issue:10914", + "issue:11023", + "issue:13043", + "issue:13298", + "issue:13484", + "issue:13487", + "issue:1367", + "issue:228", + "issue:2560", + "issue:3026", + "issue:3382", + "issue:3428", + "issue:3717", + "issue:3774", + "issue:4236", + "issue:4483", + "issue:4911", + "issue:5075", + "issue:5623", + "issue:5857", + "issue:5877", + "issue:5889", + "issue:5927", + "issue:5931", + "issue:6008", + "issue:6243", + "issue:6252", + "issue:6446", + "issue:6574", + "issue:7229", + "issue:7363", + "issue:7405", + "issue:7629", + "issue:7728", + "issue:7757", + "issue:8435", + "issue:8518", + "issue:8787", + "issue:9664", + "issue:9971" + ], + "soft_pairs": [ + "issue:4911|issue:8435", + "issue:2560|issue:3428", + "issue:1005|issue:1367", + "issue:3382|issue:7757", + "issue:5623|issue:7363", + "issue:5927|issue:6243", + "issue:6574|issue:7629", + "issue:13043|issue:13298", + "issue:3717|issue:3774", + "issue:7229|issue:7728", + "issue:6252|issue:6446", + "issue:5857|issue:6008", + "issue:5889|issue:7405", + "issue:13484|issue:13487", + "issue:10674|issue:9971", + "issue:10914|issue:11023", + "issue:10596|issue:10673", + "issue:10833|issue:8787", + "issue:10795|issue:8518", + "issue:5877|issue:9664", + "issue:4236|issue:5075", + "issue:1061|issue:228", + "issue:3026|issue:3717", + "issue:4483|issue:5931" + ], + "prepared_review_unit_hash": "ade9fcb54c13ab838484313523e36d1280bf7141c99d45f47484bef05ee61411", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33387, + "estimated_input_tokens": 8347, + "estimated_eval_tokens": 16950 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a heterogeneous mix of unrelated issues and feature requests across pipelines, training, LoRA/GGUF loading, determinism, OOMs, and scheduler/config behavior. I do not see a true duplicate cluster or a clear single canonical issue.", + "confidence": 0.96, + "canonical_issue_reason": "No single issue is a safe canonical here; the items cover many different code paths and error classes.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8435 is the broadest user-facing runtime-error report around `from_single_file` and has some inbound attention, so it is the closest thing to a hub, but it still does not represent the whole set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4911", + "right": "issue:8435", + "accept": false, + "reason": "Both mention `from_single_file`, but one is about loading a custom text encoder and the other is a general runtime error; not enough evidence of the same bug." + }, + { + "left": "issue:2560", + "right": "issue:3428", + "accept": false, + "reason": "Img2Img nondeterminism and an unexpected pipeline change are different behaviors and likely different bugs." + }, + { + "left": "issue:1005", + "right": "issue:1367", + "accept": false, + "reason": "`num_inference_timesteps` limits and saving custom `trained_betas` are separate scheduler/config issues." + }, + { + "left": "issue:3382", + "right": "issue:7757", + "accept": false, + "reason": "Both are OOM reports, but they involve different training scripts and settings; not the same concrete failure." + }, + { + "left": "issue:5623", + "right": "issue:7363", + "accept": false, + "reason": "Enhanced safety checker functionality is a feature request, while the other is a request for SDXL safety checker support; not duplicates." + }, + { + "left": "issue:5927", + "right": "issue:6243", + "accept": false, + "reason": "IP-Adapter/Reference/ inpaint combo and IP-Adapter Face ID are related subsystems but not the same bug report." + }, + { + "left": "issue:6574", + "right": "issue:7629", + "accept": false, + "reason": "A warning about SVD tensor range is unrelated to SVD OOM behavior under PyTorch 1.13.1." + }, + { + "left": "issue:13043", + "right": "issue:13298", + "accept": false, + "reason": "CUDA kernel-image support on RTX 5090 and generator-device breakage are different failures with different triggers." + }, + { + "left": "issue:3717", + "right": "issue:3774", + "accept": false, + "reason": "Both are memory issues, but one is multi-GPU OOM and the other is ZeRO-3 not saving memory in a training script." + }, + { + "left": "issue:7229", + "right": "issue:7728", + "accept": false, + "reason": "Checkpoint-saving trouble in advanced training and an Accelerate error in a specific DreamBooth LoRA script are not the same bug." + }, + { + "left": "issue:6252", + "right": "issue:6446", + "accept": false, + "reason": "LoRA weights not loading from checkpoint is unrelated to Stable Diffusion 2.1 failing to load on Colab minimal loading." + }, + { + "left": "issue:5857", + "right": "issue:6008", + "accept": false, + "reason": "LCM LoRA on AnimateDiff SDXL and IP-Adapter Plus Face with LCM LoRA are distinct combination-specific issues." + }, + { + "left": "issue:5889", + "right": "issue:7405", + "accept": false, + "reason": "A general Stable Video Diffusion feature request is not the same as the DynamiCrafter new-model request." + }, + { + "left": "issue:13484", + "right": "issue:13487", + "accept": false, + "reason": "One is Flux 2 dev FAL LoRA loading failure; the other is loading LoRAs on `text_pipe` in a modular pipeline. Related area, different bug." + }, + { + "left": "issue:10674", + "right": "issue:9971", + "accept": false, + "reason": "GGUF/Flux pipeline breakage and DEISMultistepScheduler on FLUX are different model/backend problems." + }, + { + "left": "issue:10914", + "right": "issue:11023", + "accept": false, + "reason": "Unexpected CPU offload and blurred images on a custom SDXL pipeline are unrelated behaviors." + }, + { + "left": "issue:10596", + "right": "issue:10673", + "accept": false, + "reason": "FluxControlPipeline invalid-shape and AuraFlow invalid-shape errors occur in different pipelines with different tensor shapes." + }, + { + "left": "issue:10833", + "right": "issue:8787", + "accept": false, + "reason": "Bitsandbytes matrix-shape mismatch in FluxFill and slow model loading are different issues." + }, + { + "left": "issue:10795", + "right": "issue:8518", + "accept": false, + "reason": "GGUF `from_single_file` torch.compile failure and SD3 torch._dynamo unsupported error are both compile-related but not the same concrete code path." + }, + { + "left": "issue:5877", + "right": "issue:9664", + "accept": false, + "reason": "Training subprocess failure in textual inversion/DreamBooth and a DreamBooth LoRA subprocess failure are different scripts and likely different root causes." + }, + { + "left": "issue:4236", + "right": "issue:5075", + "accept": false, + "reason": "SDXL refiner text encoder registration and prompt-embedding shape mismatch are distinct SDXL refiner bugs." + }, + { + "left": "issue:1061", + "right": "issue:228", + "accept": false, + "reason": "A textual inversion example update request is not related to a broken release download link." + }, + { + "left": "issue:3026", + "right": "issue:3717", + "accept": false, + "reason": "Accelerate launch failure in instruct-pix2pix and multi-GPU OOM are different training problems." + }, + { + "left": "issue:4483", + "right": "issue:5931", + "accept": false, + "reason": "SDXL generator nondeterminism and StableDiffusionPipeline nondeterminism are related in theme but not clearly the same pipeline or bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 82, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10180", + "issue:10186", + "issue:10321", + "issue:10334", + "issue:10350", + "issue:10833", + "issue:10925", + "issue:11010", + "issue:11033", + "issue:11143", + "issue:11298", + "issue:11342", + "issue:11408", + "issue:11907", + "issue:12501", + "issue:1367", + "issue:1617", + "issue:1734", + "issue:2156", + "issue:2299", + "issue:2444", + "issue:2674", + "issue:3250", + "issue:3357", + "issue:4134", + "issue:4480", + "issue:4731", + "issue:4993", + "issue:5604", + "issue:5753", + "issue:5917", + "issue:6096", + "issue:6124", + "issue:6709", + "issue:6818", + "issue:6879", + "issue:7033", + "issue:7159", + "issue:7377", + "issue:7513", + "issue:7889", + "issue:8645", + "issue:8649", + "issue:9227", + "issue:9643", + "issue:9667", + "issue:993" + ], + "soft_pairs": [ + "issue:6818|issue:7033", + "issue:7377|issue:8649", + "issue:11907|issue:9643", + "issue:4134|issue:4480", + "issue:4993|issue:5917", + "issue:6124|issue:7513", + "issue:10334|issue:11342", + "issue:11010|issue:9667", + "issue:10350|issue:12501", + "issue:10321|issue:11143", + "issue:10180|issue:11298", + "issue:3357|issue:6096", + "issue:2674|issue:5753", + "issue:1734|issue:2156", + "issue:2299|issue:993", + "issue:6709|issue:6879", + "issue:2674|issue:5604", + "issue:7889|issue:8645", + "issue:1367|issue:3250", + "issue:10925|issue:9227", + "issue:1617|issue:2444", + "issue:10186|issue:10833", + "issue:4731|issue:7159", + "issue:11033|issue:11907", + "issue:11408|issue:9643" + ], + "prepared_review_unit_hash": "281f9609a9c857d0e5fbfb46ce3091625b41597685a63871a371c796c193065b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33690, + "estimated_input_tokens": 8423, + "estimated_eval_tokens": 17102 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly unrelated Flux/Diffusers issues. The only strong duplicate pair is the multi-LoRA/PEFT failure pair (10180, 11298), which looks like the same underlying adapter-management bug.", + "confidence": 0.89, + "canonical_issue_reason": "issue:11298 is the clearest and broadest report of the shared multi-LoRA hotswap/PEFT key error, and it is still open, making it the best canonical issue for deduping related reports like issue:10180.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11298 best represents the underlying bug: multiple LoRA hotswapping triggers a PEFT key error. It is specific enough to anchor duplicates, while still broad enough to subsume the Flux Control LoRA variant.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6818", + "right": "issue:7033", + "accept": false, + "reason": "Different IP-Adapter bugs: unload/constructor error vs attention-mask warning logs." + }, + { + "left": "issue:7377", + "right": "issue:8649", + "accept": false, + "reason": "Both involve num_images_per_prompt, but they affect different pipelines and failure modes." + }, + { + "left": "issue:11907", + "right": "issue:9643", + "accept": false, + "reason": "Both mention Flux, but one is scheduler incompatibility and the other is multiple ControlNets." + }, + { + "left": "issue:4134", + "right": "issue:4480", + "accept": false, + "reason": "Both are Mac/MPS issues, but one is a tensor-shape mismatch and the other is a kernel crash on fp16." + }, + { + "left": "issue:4993", + "right": "issue:5917", + "accept": false, + "reason": "Import-structure exposure vs checkpoint conversion failure; unrelated bugs." + }, + { + "left": "issue:6124", + "right": "issue:7513", + "accept": false, + "reason": "DreamBooth LoRA training problems, but the specific errors and contexts differ." + }, + { + "left": "issue:10334", + "right": "issue:11342", + "accept": false, + "reason": "Both are Sana/MPS reports, but the symptoms and pipeline variants are different enough to avoid deduping." + }, + { + "left": "issue:11010", + "right": "issue:9667", + "accept": false, + "reason": "Different Flux-related issues: model architecture support vs fp8 loading with a local transformer file." + }, + { + "left": "issue:10350", + "right": "issue:12501", + "accept": false, + "reason": "High VAE decoder memory usage and a graph-break issue are not the same bug." + }, + { + "left": "issue:10321", + "right": "issue:11143", + "accept": false, + "reason": "Missing model files for LTX-Video vs video quality complaints; unrelated." + }, + { + "left": "issue:10180", + "right": "issue:11298", + "accept": true, + "reason": "Both describe multi-LoRA handling failing with PEFT/adapter-key problems, including the Flux Control LoRA case." + }, + { + "left": "issue:3357", + "right": "issue:6096", + "accept": false, + "reason": "Both are torch.compile failures, but they hit different unsupported patterns and code paths." + }, + { + "left": "issue:2674", + "right": "issue:5753", + "accept": false, + "reason": "LoRA safetensors dependency issue vs ControlNet/load_lora_weights incompatibility." + }, + { + "left": "issue:1734", + "right": "issue:2156", + "accept": false, + "reason": "Both concern DreamBooth training performance/configuration, but not the same bug." + }, + { + "left": "issue:2299", + "right": "issue:993", + "accept": false, + "reason": "Checkpoint-format/support question vs fp16 dtype mismatch; not the same issue." + }, + { + "left": "issue:6709", + "right": "issue:6879", + "accept": false, + "reason": "Same feature area (Custom Diffusion), but concept-list handling and dtype mismatch are distinct bugs." + }, + { + "left": "issue:2674", + "right": "issue:5604", + "accept": false, + "reason": "SafeTensors requirement and unfusing multiple LoRAs are separate problems." + }, + { + "left": "issue:7889", + "right": "issue:8645", + "accept": false, + "reason": "Both touch single_file_utils.py, but one is a bug report and the other is a missing helper function." + }, + { + "left": "issue:1367", + "right": "issue:3250", + "accept": false, + "reason": "Scheduler save/config behavior and K-Diffusion pipeline runtime failure are unrelated." + }, + { + "left": "issue:10925", + "right": "issue:9227", + "accept": false, + "reason": "Both are FLUX DreamBooth/LoRA training reports, but they target different failures and are not clearly the same bug." + }, + { + "left": "issue:1617", + "right": "issue:2444", + "accept": false, + "reason": "Missing CLI arguments and a non-zero exit from dreambooth_inpaint are different failures." + }, + { + "left": "issue:10186", + "right": "issue:10833", + "accept": false, + "reason": "Same FluxFillPipeline area, but one is an import error and the other is a quantization shape-mismatch bug." + }, + { + "left": "issue:4731", + "right": "issue:7159", + "accept": false, + "reason": "Both involve torch.compile, but one is multi-ControlNet SDXL and the other is fused LoRA behavior." + }, + { + "left": "issue:11033", + "right": "issue:11907", + "accept": false, + "reason": "SD1.5 from_single_file loading and Flux scheduler incompatibility are unrelated." + }, + { + "left": "issue:11408", + "right": "issue:9643", + "accept": false, + "reason": "Compiled-model adapter support and Flux multiple-ControlNet support are different issues." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the lone accepted pair (10180, 11298) is the only one that reads like a plausible duplicate from the titles alone. The other soft-edge rejections are conservative and appropriately avoid overclaiming." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 83, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10016", + "issue:10639", + "issue:10893", + "issue:10937", + "issue:11014", + "issue:11023", + "issue:11225", + "issue:11569", + "issue:12082", + "issue:12120", + "issue:12358", + "issue:1367", + "issue:1565", + "issue:1823", + "issue:2089", + "issue:2371", + "issue:259", + "issue:2772", + "issue:3565", + "issue:3694", + "issue:4206", + "issue:4566", + "issue:4664", + "issue:4724", + "issue:4935", + "issue:5313", + "issue:5432", + "issue:5466", + "issue:5516", + "issue:5846", + "issue:6252", + "issue:6368", + "issue:6561", + "issue:6586", + "issue:6809", + "issue:6823", + "issue:6839", + "issue:6891", + "issue:7180", + "issue:7466", + "issue:761", + "issue:7871", + "issue:7982", + "issue:8469", + "issue:861", + "issue:8909", + "issue:9599", + "issue:9953" + ], + "soft_pairs": [ + "issue:3565|issue:3694", + "issue:1823|issue:259", + "issue:2371|issue:761", + "issue:5432|issue:5846", + "issue:7982|issue:9953", + "issue:10893|issue:11569", + "issue:6823|issue:6839", + "issue:11023|issue:8909", + "issue:1565|issue:2089", + "issue:5313|issue:6809", + "issue:6561|issue:8469", + "issue:10639|issue:12358", + "issue:11014|issue:11225", + "issue:10937|issue:12082", + "issue:4206|issue:4566", + "issue:12120|issue:9599", + "issue:4664|issue:5516", + "issue:1367|issue:861", + "issue:6252|issue:6368", + "issue:6586|issue:6891", + "issue:10016|issue:5466", + "issue:2772|issue:4935", + "issue:7180|issue:7466", + "issue:4724|issue:7871" + ], + "prepared_review_unit_hash": "6281720097404f2e6f94709150fe193a35bc424660c43f0088ed489f69d2810f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34139, + "estimated_input_tokens": 8535, + "estimated_eval_tokens": 17326 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No duplicate cluster here: the soft pairs mostly share only broad keywords (OOM, ControlNet, LoRA, compile, pipeline) but describe different models, code paths, or request types. I would reject all soft edges.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue stands out because the items span unrelated bugs and feature requests across different models and subsystems (SDXL, SD3, FLUX, Lumina, Wan, ControlNet, LoRA, compile, saving/loading).", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a good global representative for deduplication; the cluster is too heterogeneous and the overlaps are mostly superficial.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3565", + "right": "issue:3694", + "accept": false, + "reason": "Both involve training examples, but one is CUDA OOM and the other is missing model/config files; different failure modes." + }, + { + "left": "issue:1823", + "right": "issue:259", + "accept": false, + "reason": "Unrelated bugs: swapped comments in depth2img vs progress bar behavior in the Stable Diffusion pipeline." + }, + { + "left": "issue:2371", + "right": "issue:761", + "accept": false, + "reason": "DreamBooth-related only at a high level; one is missing outputs after training, the other is 8-bit Adam OOM." + }, + { + "left": "issue:5432", + "right": "issue:5846", + "accept": false, + "reason": "Both touch SDXL LoRA training, but blank validation images and resume-from-checkpoint errors are distinct issues." + }, + { + "left": "issue:7982", + "right": "issue:9953", + "accept": false, + "reason": "Different code paths: MultiControlNet from_pipe vs moving a quantized component to CUDA." + }, + { + "left": "issue:10893", + "right": "issue:11569", + "accept": false, + "reason": "One is ControlNet integration for CogVideoX; the other is a request for a repo for an LTXV checkpoint." + }, + { + "left": "issue:6823", + "right": "issue:6839", + "accept": false, + "reason": "Generic controlnet use vs StableVideoDiffusion from_single_file support; different pipelines and errors." + }, + { + "left": "issue:11023", + "right": "issue:8909", + "accept": false, + "reason": "Blurred images with a custom pipeline is not the same as problems saving text_encoder_ti during training." + }, + { + "left": "issue:1565", + "right": "issue:2089", + "accept": false, + "reason": "GPU selection causing OOM vs DreamBooth training OOM; different root causes and eras." + }, + { + "left": "issue:5313", + "right": "issue:6809", + "accept": false, + "reason": "Non-revertible fuse behavior is different from LoRA adapters no longer loading under PEFT." + }, + { + "left": "issue:6561", + "right": "issue:8469", + "accept": false, + "reason": "Missing IP-Adapter config file vs corrupted/broken face outputs; one is load failure, the other is generation quality." + }, + { + "left": "issue:10639", + "right": "issue:12358", + "accept": false, + "reason": "Both are Lumina-related, but one asks to add support for Lumina-Image 2.0 and the other for Lumina-DiMOO; different pipelines." + }, + { + "left": "issue:11014", + "right": "issue:11225", + "accept": false, + "reason": "General Colab GPU OOM vs SD3 ControlNet validation-step OOM; not the same concrete bug." + }, + { + "left": "issue:10937", + "right": "issue:12082", + "accept": false, + "reason": "torch.compile error on vae.encode vs increased GPU memory usage after compile; different symptoms and models." + }, + { + "left": "issue:4206", + "right": "issue:4566", + "accept": false, + "reason": "ControlNet training broken on main vs SDXL LoRA resume checkpoint problem; different training workflows." + }, + { + "left": "issue:12120", + "right": "issue:9599", + "accept": false, + "reason": "Flux LoRA training question vs asking for a LoRA-only Flux example; request/usage discussion, not the same bug." + }, + { + "left": "issue:4664", + "right": "issue:5516", + "accept": false, + "reason": "SDXL LoRA loading differs between pipeline classes, while the other is LoRA not functioning with t2i adapters." + }, + { + "left": "issue:1367", + "right": "issue:861", + "accept": false, + "reason": "Scheduler serialization with trained_betas is unrelated to ckpt-to-diffusers conversion." + }, + { + "left": "issue:6252", + "right": "issue:6368", + "accept": false, + "reason": "General checkpoint loading failure for LoRA weights vs unsupported checkpoint layer alpha naming; different incompatibilities." + }, + { + "left": "issue:6586", + "right": "issue:6891", + "accept": false, + "reason": "Both are trackers, but micro-conditioning for SDXL trainers and new model card utilities are unrelated initiatives." + }, + { + "left": "issue:10016", + "right": "issue:5466", + "accept": false, + "reason": "Different model/loading problems: SD3.5M from_single_file shape mismatch vs SDXL img2img LoRA shape mismatch." + }, + { + "left": "issue:2772", + "right": "issue:4935", + "accept": false, + "reason": "train_controlnet local dataset validation issue vs a question about using lora_layers in an SDXL training script." + }, + { + "left": "issue:7180", + "right": "issue:7466", + "accept": false, + "reason": "CPU offload failure in SDXL img2img ControlNet is a different issue from torch.compile failing on multi-ControlNet inpaint." + }, + { + "left": "issue:4724", + "right": "issue:7871", + "accept": false, + "reason": "SDXL Img2Img with a base checkpoint vs blockwise scales with a LoRA file; separate pipeline behavior and error conditions." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 84, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10315", + "issue:10428", + "issue:10863", + "issue:11225", + "issue:11584", + "issue:11791", + "issue:12175", + "issue:12216", + "issue:12359", + "issue:1305", + "issue:1500", + "issue:1611", + "issue:1889", + "issue:2676", + "issue:2878", + "issue:2883", + "issue:3061", + "issue:3198", + "issue:3357", + "issue:3706", + "issue:3728", + "issue:4375", + "issue:460", + "issue:4615", + "issue:4724", + "issue:4925", + "issue:4954", + "issue:5432", + "issue:5575", + "issue:5576", + "issue:5873", + "issue:5931", + "issue:5934", + "issue:6224", + "issue:6520", + "issue:6536", + "issue:6549", + "issue:6790", + "issue:6794", + "issue:7159", + "issue:7766", + "issue:9112", + "issue:9343", + "issue:938", + "issue:9497", + "issue:9576", + "issue:9904" + ], + "soft_pairs": [ + "issue:5575|issue:6790", + "issue:11225|issue:4925", + "issue:1889|issue:2676", + "issue:12175|issue:12216", + "issue:11584|issue:11791", + "issue:2878|issue:5873", + "issue:12359|issue:9576", + "issue:3061|issue:460", + "issue:10315|issue:9497", + "issue:4615|issue:6794", + "issue:5432|issue:6520", + "issue:1305|issue:938", + "issue:2883|issue:3728", + "issue:6224|issue:6536", + "issue:10428|issue:9112", + "issue:3706|issue:5576", + "issue:6549|issue:7766", + "issue:1500|issue:1611", + "issue:10863|issue:9343", + "issue:4375|issue:5934", + "issue:12175|issue:9904", + "issue:3357|issue:7159", + "issue:3198|issue:4954", + "issue:4724|issue:5931" + ], + "prepared_review_unit_hash": "76bd2652f40a14cf2551387d6df18b36a8f3d1d2b50144a55867b3284c3634c1", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33486, + "estimated_input_tokens": 8372, + "estimated_eval_tokens": 17000 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster does not look like a duplicate set; it is a grab bag of unrelated issues across training, inference, loading, compile, docs, and model-specific workflows. No single canonical issue stands out, and none of the soft pairs look like the same underlying bug/change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5575", + "right": "issue:6790", + "accept": false, + "reason": "Both mention LoRA training, but one is about setting a hidden size parameter and the other is a checkpoint/state_dict key mismatch; different problems." + }, + { + "left": "issue:11225", + "right": "issue:4925", + "accept": false, + "reason": "Both involve OOM during training/validation, but they are on different pipelines and contexts (SD3 ControlNet validation vs SDXL distributed training)." + }, + { + "left": "issue:1889", + "right": "issue:2676", + "accept": false, + "reason": "Scheduler-related, but one is a request for a DPM++ SDE variant and the other asks about scheduler names; not the same bug/change." + }, + { + "left": "issue:12175", + "right": "issue:12216", + "accept": false, + "reason": "Both concern Qwen image quality, but they target different models and scenarios (Qwen Image vs Qwen-Image-Edit)." + }, + { + "left": "issue:11584", + "right": "issue:11791", + "accept": false, + "reason": "Both mention group offloading, but one is a torch.compile incompatibility and the other is a LoRA-weight loading failure after offloading; different code paths." + }, + { + "left": "issue:2878", + "right": "issue:5873", + "accept": false, + "reason": "Both are ONNX/export issues, but the failing operators and circumstances differ; not the same underlying export bug." + }, + { + "left": "issue:12359", + "right": "issue:9576", + "accept": false, + "reason": "One is a documentation bug about guidance_scale, the other a loading bug about use_safetensors propagation; unrelated." + }, + { + "left": "issue:3061", + "right": "issue:460", + "accept": false, + "reason": "Reproducibility vs ONNX runtime dependency; these are separate issues in different parts of the stack." + }, + { + "left": "issue:10315", + "right": "issue:9497", + "accept": false, + "reason": "Different model families and failures: CogVideo training error vs FLUX Dreambooth matmul shape error." + }, + { + "left": "issue:4615", + "right": "issue:6794", + "accept": false, + "reason": "Both are import failures, but they concern different symbols/modules and do not indicate the same bug." + }, + { + "left": "issue:5432", + "right": "issue:6520", + "accept": false, + "reason": "Both mention blank validation output during training, but they are different training scripts and likely different validation code paths." + }, + { + "left": "issue:1305", + "right": "issue:938", + "accept": false, + "reason": "Completely unrelated projects/models: Direct Inversion editing vs Human Motion Diffusion Model." + }, + { + "left": "issue:2883", + "right": "issue:3728", + "accept": false, + "reason": "Both are new pipeline ideas, but they describe different pipelines and modalities." + }, + { + "left": "issue:6224", + "right": "issue:6536", + "accept": false, + "reason": "TorchDynamo fine-tuning issue vs UNet3DConditionModel OOM; different failures and root causes." + }, + { + "left": "issue:10428", + "right": "issue:9112", + "accept": false, + "reason": "Different model/runtime failures: FLUX inference on Ascend NPU vs Auraflow tensor dimension mismatch." + }, + { + "left": "issue:3706", + "right": "issue:5576", + "accept": false, + "reason": "A new model request vs a scheduler request; not the same change or bug." + }, + { + "left": "issue:6549", + "right": "issue:7766", + "accept": false, + "reason": "Both are IP-Adapter-related, but one is a warning-log issue with LoRA weights and the other is a usage/question issue for FaceID Plus." + }, + { + "left": "issue:1500", + "right": "issue:1611", + "accept": false, + "reason": "Both involve pipeline compatibility, but one is a Diffusers version incompatibility and the other is a specific model stopped working in a pipeline; distinct issues." + }, + { + "left": "issue:10863", + "right": "issue:9343", + "accept": false, + "reason": "Different loading failures: local safetensors load error vs FLUX load error with low_cpu_mem_usage and ignore_mismatched_sizes." + }, + { + "left": "issue:4375", + "right": "issue:5934", + "accept": false, + "reason": "Both involve torch.compile, but one is an inference crash and the other is a generic compile error; too broad to merge as duplicates." + }, + { + "left": "issue:12175", + "right": "issue:9904", + "accept": false, + "reason": "Qwen image quality complaint vs FluxPipeline image-shape rounding bug; unrelated." + }, + { + "left": "issue:3357", + "right": "issue:7159", + "accept": false, + "reason": "Both are compile-related, but they describe different TorchDynamo/Torch compile failure modes and code paths." + }, + { + "left": "issue:3198", + "right": "issue:4954", + "accept": false, + "reason": "Both are loading-related, but safetensors textual inversion and pickle unpickling errors are different serialization problems." + }, + { + "left": "issue:4724", + "right": "issue:5931", + "accept": false, + "reason": "Img2img behavior with SDXL checkpoint vs nondeterministic generation; unrelated bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 85, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10671", + "issue:11023", + "issue:11088", + "issue:11674", + "issue:11779", + "issue:13105", + "issue:1556", + "issue:1614", + "issue:2364", + "issue:3250", + "issue:3279", + "issue:3284", + "issue:4305", + "issue:4375", + "issue:4935", + "issue:4936", + "issue:4985", + "issue:5227", + "issue:5432", + "issue:5563", + "issue:5565", + "issue:5889", + "issue:6095", + "issue:6124", + "issue:6232", + "issue:6415", + "issue:6527", + "issue:6574", + "issue:7041", + "issue:7159", + "issue:7185", + "issue:7223", + "issue:7306", + "issue:7347", + "issue:7392", + "issue:7538", + "issue:7908", + "issue:8507", + "issue:8511", + "issue:8518", + "issue:8552", + "issue:8649", + "issue:8732", + "issue:8759", + "issue:8827", + "issue:8828", + "issue:8839", + "issue:9515" + ], + "soft_pairs": [ + "issue:3279|issue:3284", + "issue:7041|issue:8552", + "issue:8649|issue:8828", + "issue:10671|issue:11023", + "issue:4935|issue:5432", + "issue:6232|issue:6527", + "issue:8507|issue:8759", + "issue:6095|issue:6574", + "issue:8511|issue:8839", + "issue:4375|issue:5227", + "issue:6124|issue:8732", + "issue:6415|issue:8827", + "issue:5563|issue:7347", + "issue:7185|issue:9515", + "issue:4985|issue:7538", + "issue:11674|issue:11779", + "issue:5889|issue:7223", + "issue:4305|issue:4936", + "issue:1556|issue:1614", + "issue:7392|issue:7908", + "issue:2364|issue:5565", + "issue:3250|issue:7306", + "issue:7159|issue:8518", + "issue:11088|issue:13105" + ], + "prepared_review_unit_hash": "10ead4c8f3dd22fc0e3db2c8c69e4ef90779d92df768cf9a800e69fd23b007fb", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33597, + "estimated_input_tokens": 8400, + "estimated_eval_tokens": 17056 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: most items are unrelated feature requests or distinct bugs across different pipelines, schedulers, and training scripts. None of the soft pairs look like true duplicates under a strict triage standard; they share broad subsystem vocabulary but not the same concrete failure mode.", + "confidence": 0.84, + "canonical_issue_reason": "issue:10671 is the best representative because it is a clear core-library bug report about DiffusionPipeline dtype/device determinism, and it is broader and more central than the other narrowly scoped or application-specific issues.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10671 has the strongest triage value as the most general and reusable core bug report in the set; it is the likeliest anchor for any truly related dtype/device regressions.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3279", + "right": "issue:3284", + "accept": false, + "reason": "Both are DreamBooth LoRA training problems, but one is about resume/checkpoint errors and the other about accelerate failures; different failure modes and likely different fixes." + }, + { + "left": "issue:7041", + "right": "issue:8552", + "accept": false, + "reason": "Both mention crashes/segfaults, but they affect different pipelines with different triggers: num_inference_steps in one case and TextToVideoZero inference in the other." + }, + { + "left": "issue:8649", + "right": "issue:8828", + "accept": false, + "reason": "Both are SD3 training-related, but one is a num_images_per_prompt API regression while the other is a 16GB training error/resource problem." + }, + { + "left": "issue:10671", + "right": "issue:11023", + "accept": false, + "reason": "Core dtype/device determinism in DiffusionPipeline versus blurry images in a custom LPW SDXL pipeline; the symptom and code path do not match." + }, + { + "left": "issue:4935", + "right": "issue:5432", + "accept": false, + "reason": "One asks about using AttnProcsLayers in an SDXL LoRA training script; the other reports blank validation images. Same area, not the same bug." + }, + { + "left": "issue:6232", + "right": "issue:6527", + "accept": false, + "reason": "Both concern add_noise, but they target different schedulers and settings, so they are not the same concrete defect." + }, + { + "left": "issue:8507", + "right": "issue:8759", + "accept": false, + "reason": "train_dreambooth_sd3.py --train_text_encoder failing is a training-script bug; the other is an image_processor warning during validation image casting." + }, + { + "left": "issue:6095", + "right": "issue:6574", + "accept": false, + "reason": "IndexError in SVD scheduler logic and a FutureWarning about expected tensor range are different issues with different severity and behavior." + }, + { + "left": "issue:8511", + "right": "issue:8839", + "accept": false, + "reason": "Text encoders not unloading in SD3 training scripts is not the same as an SD3 LoRA weight error; different code paths and fixes." + }, + { + "left": "issue:4375", + "right": "issue:5227", + "accept": false, + "reason": "Both involve torch.compile, but one is an inference crash while the other is a load_lora_weight compile incompatibility; too different to merge." + }, + { + "left": "issue:6124", + "right": "issue:8732", + "accept": false, + "reason": "FP16 gradient unscale in an SDXL notebook and checkpoint-saving failures in advanced training are separate training bugs." + }, + { + "left": "issue:6415", + "right": "issue:8827", + "accept": false, + "reason": "The first is a feature/support request for FaceID variants; the second is an actual error using ip-adapter-faceid_sdxl. Different intent and problem type." + }, + { + "left": "issue:5563", + "right": "issue:7347", + "accept": false, + "reason": "Both are broad training-error reports, but they describe different scripts, contexts, and likely different underlying regressions." + }, + { + "left": "issue:7185", + "right": "issue:9515", + "accept": false, + "reason": "A general pytorch support question is unrelated to the SD3 transformer RMSNorm implementation issue." + }, + { + "left": "issue:4985", + "right": "issue:7538", + "accept": false, + "reason": "OOM during InstructPix2Pix SDXL training and issues with a custom Fill50k-style dataset are not the same bug." + }, + { + "left": "issue:11674", + "right": "issue:11779", + "accept": false, + "reason": "Feature request for ref images/multiple control videos versus an incorrect mask padding bug in Wan VACE; different change requests." + }, + { + "left": "issue:5889", + "right": "issue:7223", + "accept": false, + "reason": "Stable Video Diffusion and Latte are different video-generation topics; no shared concrete defect." + }, + { + "left": "issue:4305", + "right": "issue:4936", + "accept": false, + "reason": "One is a torch.compile graph break tied to a release, while the other is a broken resume path in DreamBooth LoRA training; not the same code-path problem." + }, + { + "left": "issue:1556", + "right": "issue:1614", + "accept": false, + "reason": "Both produce black images, but one is tied to GPU plus NSFW warning behavior and the other to autocast with Stable Diffusion 2.1; insufficiently specific overlap." + }, + { + "left": "issue:7392", + "right": "issue:7908", + "accept": false, + "reason": "A how-to question about multiple aspect-ratio images and a feature request for aspect-ratio bucketing are related, but they are not the same issue." + }, + { + "left": "issue:2364", + "right": "issue:5565", + "accept": false, + "reason": "General training-script failure versus a specific SDXL DreamBooth LoRA example script failure; too broad to treat as duplicates." + }, + { + "left": "issue:3250", + "right": "issue:7306", + "accept": false, + "reason": "Can't run StableDiffusionKDiffusionPipeline and inability to use float16 in LEditsPPPipelineStableDiffusionXL are different pipelines and different failure causes." + }, + { + "left": "issue:7159", + "right": "issue:8518", + "accept": false, + "reason": "Both are torch.compile problems, but one is about fused LoRA compilation and the other is an Unsupported exception in SD3; distinct concrete bugs." + }, + { + "left": "issue:11088", + "right": "issue:13105", + "accept": false, + "reason": "A GGUF model load error and noisy Wan2.1 T2V output are different stages and different failure modes; not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 86, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10421", + "issue:10569", + "issue:11182", + "issue:11222", + "issue:11223", + "issue:12575", + "issue:13176", + "issue:1704", + "issue:1823", + "issue:2015", + "issue:3422", + "issue:3674", + "issue:3700", + "issue:3816", + "issue:3826", + "issue:4000", + "issue:4213", + "issue:4356", + "issue:4488", + "issue:4566", + "issue:4708", + "issue:4954", + "issue:4985", + "issue:5398", + "issue:5429", + "issue:5466", + "issue:5540", + "issue:5628", + "issue:5892", + "issue:6028", + "issue:6112", + "issue:6149", + "issue:6252", + "issue:6295", + "issue:6561", + "issue:6749", + "issue:7003", + "issue:7168", + "issue:7363", + "issue:776", + "issue:7782", + "issue:8515", + "issue:8626", + "issue:8885", + "issue:929", + "issue:9392", + "issue:9525", + "issue:9889" + ], + "soft_pairs": [ + "issue:4213|issue:4488", + "issue:4566|issue:6252", + "issue:6112|issue:9889", + "issue:5466|issue:7003", + "issue:2015|issue:3826", + "issue:3816|issue:4356", + "issue:5540|issue:6028", + "issue:3674|issue:3700", + "issue:4566|issue:4985", + "issue:4000|issue:7782", + "issue:10421|issue:10569", + "issue:3422|issue:7363", + "issue:6749|issue:8885", + "issue:11182|issue:9525", + "issue:11222|issue:11223", + "issue:12575|issue:13176", + "issue:1704|issue:929", + "issue:1823|issue:776", + "issue:4708|issue:5892", + "issue:7168|issue:8626", + "issue:5628|issue:6295", + "issue:4954|issue:7782", + "issue:6149|issue:6561", + "issue:5398|issue:5429", + "issue:8515|issue:9392" + ], + "prepared_review_unit_hash": "9c41e0e7ec037840636ca3af5ef5ed5add8ac25cb4b235783a3288ad28b188c9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33920, + "estimated_input_tokens": 8480, + "estimated_eval_tokens": 17216 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: it mixes unrelated memory/OOM reports, import/load failures, feature requests, and scheduler/API questions. None of the soft pairs look like the same underlying bug/change closely enough to merge.", + "confidence": 0.86, + "canonical_issue_reason": "No single canonical duplicate stands out; if one issue must anchor the cluster, issue:11223 is the most concrete and actionable bug report.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11223 is the clearest actionable bug report in the set: it describes a specific WAN + layer-wise upcasting + LoRA OOM failure, unlike the more generic questions or broad feature requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4213", + "right": "issue:4488", + "accept": false, + "reason": "Both concern SDXL loading, but one is about from_single_file() needing accelerate and the other about original_ckpt conversion requiring pipeline_class; different failure modes." + }, + { + "left": "issue:4566", + "right": "issue:6252", + "accept": false, + "reason": "Both mention LoRA/checkpoint loading, but one is SDXL LoRA resume training and the other is LoRA weights not loading from a checkpoint; not the same bug." + }, + { + "left": "issue:6112", + "right": "issue:9889", + "accept": false, + "reason": "Both involve sdxl-turbo, but one reports noisy output while the other is a torch segmentation fault during inference; different concrete problems." + }, + { + "left": "issue:5466", + "right": "issue:7003", + "accept": false, + "reason": "Both are shape/load errors, but they affect different pipelines and model paths; no clear shared underlying defect." + }, + { + "left": "issue:2015", + "right": "issue:3826", + "accept": false, + "reason": "A categorical diffusion pipeline request is unrelated to an audio-journey pipeline proposal; different functionality entirely." + }, + { + "left": "issue:3816", + "right": "issue:4356", + "accept": false, + "reason": "Both are import-related, but one is a missing transformers symbol and the other is a missing diffusers dummy module; unrelated dependency issues." + }, + { + "left": "issue:5540", + "right": "issue:6028", + "accept": false, + "reason": "Both are OOM reports, but for different models/pipelines and likely different memory bottlenecks; too broad to be duplicates." + }, + { + "left": "issue:3674", + "right": "issue:3700", + "accept": false, + "reason": "One is about reading metadata.jsonl during LoRA training, the other about a min_snr argument not working; distinct training issues." + }, + { + "left": "issue:4566", + "right": "issue:4985", + "accept": false, + "reason": "Both mention training and memory pressure, but they concern different pipelines and different failure contexts; not the same bug." + }, + { + "left": "issue:4000", + "right": "issue:7782", + "accept": false, + "reason": "Both are conversion/loading problems, but one is ckpt-to-diffusers conversion and the other is a safetensors unpickling error; different root causes." + }, + { + "left": "issue:10421", + "right": "issue:10569", + "accept": false, + "reason": "Both mention CPU memory, but one is a multi-GPU pipeline move leak and the other is high CPU memory use for HunyuanVideo; not the same underlying issue." + }, + { + "left": "issue:3422", + "right": "issue:7363", + "accept": false, + "reason": "These are both about safety checker behavior, but one asks how to disable it and the other asks about SDXL safety checker support; not duplicates." + }, + { + "left": "issue:6749", + "right": "issue:8885", + "accept": false, + "reason": "InstantID reproducibility and clip-retrieval/install modifier-token loading are unrelated problems." + }, + { + "left": "issue:11182", + "right": "issue:9525", + "accept": false, + "reason": "One is an unnecessary download for BF16 loading; the other is lora_scale having no effect in Flux. Different bugs." + }, + { + "left": "issue:11222", + "right": "issue:11223", + "accept": false, + "reason": "A feature request for more WAN LoRAs is not the same as an OOM bug with WAN layer-wise upcasting and LoRAs." + }, + { + "left": "issue:12575", + "right": "issue:13176", + "accept": false, + "reason": "Both mention attention, but they refer to different models and error contexts; no evidence they are the same code-path bug." + }, + { + "left": "issue:1704", + "right": "issue:929", + "accept": false, + "reason": "A general question about an attention block is not the same as a specific duplicate-code complaint about the square root calculation." + }, + { + "left": "issue:1823", + "right": "issue:776", + "accept": false, + "reason": "Swapped comments in depth2img is unrelated to the batch_size>1 image-to-image breakage." + }, + { + "left": "issue:4708", + "right": "issue:5892", + "accept": false, + "reason": "Both are generic import errors, but they cite different missing modules and likely different dependency/version problems." + }, + { + "left": "issue:7168", + "right": "issue:8626", + "accept": false, + "reason": "One reports malformed IP-Adapter image embeddings, the other asks for guidance on multiple IP-adapter images/masks; different problem vs documentation request." + }, + { + "left": "issue:5628", + "right": "issue:6295", + "accept": false, + "reason": "Both involve schedulers/Karras settings, but they describe different sampling artifacts and different schedulers; not the same bug." + }, + { + "left": "issue:4954", + "right": "issue:7782", + "accept": false, + "reason": "Both are loading/conversion errors, but one is a pickle unpickling failure and the other is an invalid load key for safetensors; different failures." + }, + { + "left": "issue:6149", + "right": "issue:6561", + "accept": false, + "reason": "Both involve IP-Adapter loading, but one is a specific model load error and the other is a missing config.json in a repository path; not the same issue." + }, + { + "left": "issue:5398", + "right": "issue:5429", + "accept": false, + "reason": "These are separate hacktoberfest feature tasks in different examples; no shared bug or change." + }, + { + "left": "issue:8515", + "right": "issue:9392", + "accept": false, + "reason": "Duplicate code cleanup for SD3 attention is unrelated to adding SNR shift support in the scheduler." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 87, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:1013", + "issue:10139", + "issue:10180", + "issue:10421", + "issue:10798", + "issue:11033", + "issue:11214", + "issue:11653", + "issue:1195", + "issue:12609", + "issue:12699", + "issue:13043", + "issue:1976", + "issue:2091", + "issue:2321", + "issue:2459", + "issue:3101", + "issue:3651", + "issue:3901", + "issue:4708", + "issue:4830", + "issue:5023", + "issue:5442", + "issue:5529", + "issue:6117", + "issue:6382", + "issue:6444", + "issue:6527", + "issue:6761", + "issue:6911", + "issue:6967", + "issue:713", + "issue:7133", + "issue:7223", + "issue:7229", + "issue:7239", + "issue:7629", + "issue:7982", + "issue:8405", + "issue:8464", + "issue:8469", + "issue:8659", + "issue:9063", + "issue:9141", + "issue:9484", + "issue:9546", + "issue:9971" + ], + "soft_pairs": [ + "issue:9063|issue:9141", + "issue:2459|issue:6911", + "issue:11214|issue:6761", + "issue:6967|issue:7239", + "issue:10180|issue:11653", + "issue:7982|issue:9971", + "issue:5442|issue:7223", + "issue:10421|issue:8464", + "issue:5529|issue:8659", + "issue:10026|issue:9484", + "issue:4708|issue:5023", + "issue:12609|issue:12699", + "issue:4830|issue:8405", + "issue:2091|issue:7133", + "issue:1976|issue:2321", + "issue:3651|issue:3901", + "issue:1013|issue:1195", + "issue:10139|issue:11033", + "issue:7629|issue:9546", + "issue:6444|issue:7229", + "issue:10798|issue:13043", + "issue:6382|issue:8469", + "issue:6117|issue:6527", + "issue:3101|issue:713" + ], + "prepared_review_unit_hash": "3cf80a8175c2f21d534b27730174edef8e2e59ec74c0bbef7004ca9e5dbe7ce4", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34286, + "estimated_input_tokens": 8572, + "estimated_eval_tokens": 17400 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous issue set; only the MultiControlNet tensor-size reports look like a true duplicate pair. The rest share broad subsystem keywords but describe different bugs, scripts, or error sites.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 8405 is the best canonical candidate: it is the clearest, open description of the same MultiControlNet tensor-size bug that 4830 appears to report.", + "canonical_pr_reason": null, + "best_issue_reason": "8405 is the strongest global issue to anchor on because it is the only clear duplicate target and its title/body are the most explicit about the underlying tensor-size failure.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9063", + "right": "issue:9141", + "accept": false, + "reason": "Both are FLUX-related, but one is a tokenizer-loading error and the other is a missing API method; different failure points." + }, + { + "left": "issue:2459", + "right": "issue:6911", + "accept": false, + "reason": "Different code paths and symptoms: xformers attention in training vs class-label handling in a 3D UNet model." + }, + { + "left": "issue:11214", + "right": "issue:6761", + "accept": false, + "reason": "Both are unexpected-kwarg errors, but in unrelated components (UVit layer forward vs VaeImageProcessor.preprocess)." + }, + { + "left": "issue:6967", + "right": "issue:7239", + "accept": false, + "reason": "Both mention SDXL Dreambooth LoRA shape mismatches, but the reported tensors and training scenarios differ enough to treat as separate bugs." + }, + { + "left": "issue:10180", + "right": "issue:11653", + "accept": false, + "reason": "One is about loading multiple LoRAs for Flux Control LoRA; the other is about supporting .alpha keys in HiDream LoRAs." + }, + { + "left": "issue:7982", + "right": "issue:9971", + "accept": false, + "reason": "MultiControlNet from_pipe behavior and DEISMultistepScheduler on FLUX are unrelated issues in the same broad area." + }, + { + "left": "issue:5442", + "right": "issue:7223", + "accept": false, + "reason": "These are different feature/issue topics: ScaleCrafter vs Latte video generation." + }, + { + "left": "issue:10421", + "right": "issue:8464", + "accept": false, + "reason": "A CPU memory leak when moving pipelines across GPUs is not the same as SEGA CPU offload failing with a seed." + }, + { + "left": "issue:5529", + "right": "issue:8659", + "accept": false, + "reason": "Same script family, but one is a generic training bug and the other is a checkpoint-resume/inference failure; not the same bug." + }, + { + "left": "issue:10026", + "right": "issue:9484", + "accept": false, + "reason": "Both involve Flux multi-GPU/deepspeed training, but one is ControlNet memory not reducing and the other is Dreambooth training setup." + }, + { + "left": "issue:4708", + "right": "issue:5023", + "accept": false, + "reason": "Import errors in different modules/pipelines; they do not point to the same underlying defect." + }, + { + "left": "issue:12609", + "right": "issue:12699", + "accept": false, + "reason": "Latent NaNs and prompt-by-prompt video quality degradation are different symptoms and likely different root causes." + }, + { + "left": "issue:4830", + "right": "issue:8405", + "accept": true, + "reason": "Both describe the same MultiControlNet / multiple-controlnets tensor-size failure; the wording and symptom match closely enough to merge." + }, + { + "left": "issue:2091", + "right": "issue:7133", + "accept": false, + "reason": "Both are checkpoint-resume problems in training, but the reported failures are different (multi-GPU pipeline resume vs SDXL text-encoder size mismatch)." + }, + { + "left": "issue:1976", + "right": "issue:2321", + "accept": false, + "reason": "A wrong tokenizer config lookup is unrelated to the EMA-weight copying concern in inference." + }, + { + "left": "issue:3651", + "right": "issue:3901", + "accept": false, + "reason": "One is a multi-GPU Dreambooth runtime issue; the other is a missing requirements.txt file." + }, + { + "left": "issue:1013", + "right": "issue:1195", + "accept": false, + "reason": "Different bugs: pipeline incompatibility with diffusers 6.0 vs memory-efficient attention failing with fp16 weights." + }, + { + "left": "issue:10139", + "right": "issue:11033", + "accept": false, + "reason": "Pipeline init sample-size handling and from_single_file loading are separate model-loading problems." + }, + { + "left": "issue:7629", + "right": "issue:9546", + "accept": false, + "reason": "Both mention OOM, but on different models/workflows and different triggers." + }, + { + "left": "issue:6444", + "right": "issue:7229", + "accept": false, + "reason": "Checkpointing-related, but one is a peft_config attribute error and the other is a checkpoint save issue in advanced training." + }, + { + "left": "issue:10798", + "right": "issue:13043", + "accept": false, + "reason": "Flux quantization device-combination problems are unrelated to Blackwell kernel-image support for sage_hub attention." + }, + { + "left": "issue:6382", + "right": "issue:8469", + "accept": false, + "reason": "An IP-adapter key error during LCM LoRA usage is not the same as corrupt faces from a specific face LoRA." + }, + { + "left": "issue:6117", + "right": "issue:6527", + "accept": false, + "reason": "Both are scheduler add_noise bugs, but they affect different schedulers and are not the same concrete defect." + }, + { + "left": "issue:3101", + "right": "issue:713", + "accept": false, + "reason": "Generic training errors with no evidence of the same underlying code-path or failure." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The assessment is well grounded in the packet and stays conservative on the soft-edge pairs. The 4830/8405 MultiControlNet tensor-size match is the only clearly duplicate-looking pair, and the other rejections are appropriately cautious about similar subsystem keywords without claiming shared root causes." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 88, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10139", + "issue:10334", + "issue:10542", + "issue:10722", + "issue:10969", + "issue:10994", + "issue:11024", + "issue:11050", + "issue:11104", + "issue:11315", + "issue:11581", + "issue:11651", + "issue:12104", + "issue:12107", + "issue:12533", + "issue:12661", + "issue:12771", + "issue:2091", + "issue:2132", + "issue:2156", + "issue:2203", + "issue:2361", + "issue:2780", + "issue:3279", + "issue:3453", + "issue:3537", + "issue:3612", + "issue:3694", + "issue:4790", + "issue:5016", + "issue:5687", + "issue:5757", + "issue:6226", + "issue:6295", + "issue:6382", + "issue:7286", + "issue:7593", + "issue:7722", + "issue:7979", + "issue:7982", + "issue:8503", + "issue:8614", + "issue:8828", + "issue:8885", + "issue:9047", + "issue:9142", + "issue:9227", + "issue:9971" + ], + "soft_pairs": [ + "issue:11024|issue:7593", + "issue:11581|issue:11651", + "issue:10139|issue:7982", + "issue:2132|issue:3279", + "issue:6382|issue:7722", + "issue:10542|issue:11104", + "issue:10994|issue:9227", + "issue:11050|issue:2780", + "issue:3537|issue:3612", + "issue:7979|issue:8614", + "issue:10722|issue:10969", + "issue:2361|issue:3694", + "issue:12104|issue:12771", + "issue:2156|issue:2203", + "issue:8503|issue:8828", + "issue:12533|issue:12661", + "issue:10334|issue:11315", + "issue:9047|issue:9971", + "issue:5016|issue:5757", + "issue:5687|issue:6295", + "issue:2091|issue:3453", + "issue:12107|issue:9142", + "issue:4790|issue:6226", + "issue:7286|issue:8885" + ], + "prepared_review_unit_hash": "a29ccd7339d7254490bfeee7947a870c277b096486c7fc3fdf3c4108daaf4092", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34717, + "estimated_input_tokens": 8680, + "estimated_eval_tokens": 17616 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a collection of unrelated issue reports across different models, schedulers, and training scripts. The only plausible duplicate pair is the Stable Diffusion conversion-script loading failure (issue 4790 / 6226); the rest should stay separate.", + "confidence": 0.79, + "canonical_issue_reason": "Issue 4790 is the clearest root-cause report: it names the exact conversion script and the incompatible output behavior directly, making it the best representative of the only likely duplicate pair.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4790 is the most concrete and technically specific issue here, with a clear failure mode and the strongest duplicate linkage to 6226.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11024", + "right": "issue:7593", + "accept": false, + "reason": "Both involve IP-Adapter-related failures, but one is a SiglipImageProcessor `.to()` misuse and the other is a missing `image_projection_layers` path in pipeline prep; different bugs." + }, + { + "left": "issue:11581", + "right": "issue:11651", + "accept": false, + "reason": "Both mention FLUX loading, but one is an unexpected `dtype` constructor argument error and the other is a FluxControl/flux-fill-lora loading problem; not the same code-path." + }, + { + "left": "issue:10139", + "right": "issue:7982", + "accept": false, + "reason": "Pipeline initialization with `sample_size` is unrelated to `from_pipe` failing for `MultiControlNetModel`; same area, different defects." + }, + { + "left": "issue:2132", + "right": "issue:3279", + "accept": false, + "reason": "Both are DreamBooth checkpoint/resume topics, but the errors differ (`trackers` missing vs resume-from-checkpoint issues) and point to different failures." + }, + { + "left": "issue:6382", + "right": "issue:7722", + "accept": false, + "reason": "Both involve IP-Adapter in SDXL-ish workflows, but one is a key mismatch after LCM LoRA training and the other is an Animatediff-ControlNet integration error; not the same bug." + }, + { + "left": "issue:10542", + "right": "issue:11104", + "accept": false, + "reason": "Both are video-training/runtime problems, but one is Hunyuan batch-size breakage and the other is LTX-Video offload failure; distinct issues." + }, + { + "left": "issue:10994", + "right": "issue:9227", + "accept": false, + "reason": "Same FLUX DreamBooth script family, but one is specifically batch-size > 1 crashing while the other is a general model-running problem; too little evidence they are the same bug." + }, + { + "left": "issue:11050", + "right": "issue:2780", + "accept": false, + "reason": "Different training-time dtype/precision problems: prompt embeddings not cast in one, FP16 gradient unscale in the other." + }, + { + "left": "issue:3537", + "right": "issue:3612", + "accept": false, + "reason": "One is a conversion script request, the other is a question about creating ControlNet without a model; not duplicate reports of the same defect." + }, + { + "left": "issue:7979", + "right": "issue:8614", + "accept": false, + "reason": "Both mention config files, but one is invalid JSON and the other is a missing `config.json`; different failure modes." + }, + { + "left": "issue:10722", + "right": "issue:10969", + "accept": false, + "reason": "Tensor-size mismatch during DreamBooth prior preservation is unrelated to the FLUX-Control zero3 `'weight' must be 2-D` failure." + }, + { + "left": "issue:2361", + "right": "issue:3694", + "accept": false, + "reason": "Checkpoint saving crash and missing model/config files are both training-script issues, but they are different bugs." + }, + { + "left": "issue:12104", + "right": "issue:12771", + "accept": false, + "reason": "Both are out-of-bounds errors, but one is an index error from empty tensors and the other is a scheduler-specific beta/Karras issue." + }, + { + "left": "issue:2156", + "right": "issue:2203", + "accept": false, + "reason": "CPU-vs-GPU training behavior is unrelated to model download location." + }, + { + "left": "issue:8503", + "right": "issue:8828", + "accept": false, + "reason": "Both reference SD3 training failures, but one is gradient checkpointing and the other is a 16GB memory/training error; not the same defect." + }, + { + "left": "issue:12533", + "right": "issue:12661", + "accept": false, + "reason": "Context-parallelism/offload hook conflicts are broader and different from the ChronoEdit crash; no clear shared underlying bug." + }, + { + "left": "issue:10334", + "right": "issue:11315", + "accept": false, + "reason": "Both mention MPS problems, but they concern different models and different root causes (`NaN`s/grey images vs float64 rope implementation)." + }, + { + "left": "issue:9047", + "right": "issue:9971", + "accept": false, + "reason": "One is FLUX not working on MPS devices, the other is DEISMultistepScheduler failing on FLUX; same ecosystem, different issue." + }, + { + "left": "issue:5016", + "right": "issue:5757", + "accept": false, + "reason": "Text encoder training failure and resume-from-checkpoint errors are separate DreamBooth LoRA problems." + }, + { + "left": "issue:5687", + "right": "issue:6295", + "accept": false, + "reason": "Both involve Karras-related image artifacts, but they cite different schedulers and symptoms; not enough to treat as the same bug." + }, + { + "left": "issue:2091", + "right": "issue:3453", + "accept": false, + "reason": "Checkpoint resume in multi-GPU text-to-image training is unrelated to the BFloat16 CUDA triu/tril runtime error." + }, + { + "left": "issue:12107", + "right": "issue:9142", + "accept": false, + "reason": "A custom-object tracker initialization error is unrelated to Hunyuan DiT multiple-ControlNet loading via list handling." + }, + { + "left": "issue:4790", + "right": "issue:6226", + "accept": true, + "reason": "Both point to the same conversion script producing outputs that downstream loaders cannot read; 6226 looks like another manifestation of the same incompatibility." + }, + { + "left": "issue:7286", + "right": "issue:8885", + "accept": false, + "reason": "Custom Diffusion cross-attention weight loading and clip-retrieval/modifier-token setup errors are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft edges. The only accepted pair, issue 4790 / 6226, is reasonably supported by the shared conversion-script loading failure theme, and the other pairs are appropriately kept separate." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 89, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10382", + "issue:11432", + "issue:11922", + "issue:2161", + "issue:2299", + "issue:2830", + "issue:3279", + "issue:3346", + "issue:4286", + "issue:4436", + "issue:4453", + "issue:4566", + "issue:4580", + "issue:460", + "issue:4631", + "issue:4974", + "issue:5197", + "issue:5226", + "issue:5317", + "issue:5341", + "issue:5886", + "issue:5997", + "issue:6008", + "issue:6069", + "issue:6117", + "issue:6226", + "issue:6584", + "issue:6732", + "issue:7053", + "issue:7138", + "issue:7168", + "issue:7238", + "issue:7440", + "issue:7879", + "issue:7982", + "issue:8359", + "issue:8469", + "issue:8827", + "issue:8900", + "issue:9142", + "issue:9209", + "issue:9309", + "issue:9331", + "issue:938", + "issue:9421", + "issue:9643", + "issue:9804" + ], + "soft_pairs": [ + "issue:6732|issue:7053", + "issue:6226|issue:9421", + "issue:3279|issue:3346", + "issue:2299|issue:460", + "issue:4436|issue:4453", + "issue:7440|issue:7879", + "issue:9209|issue:9804", + "issue:6069|issue:6117", + "issue:4286|issue:5226", + "issue:11922|issue:9309", + "issue:2161|issue:4566", + "issue:5317|issue:5341", + "issue:6008|issue:8469", + "issue:9142|issue:9643", + "issue:5886|issue:8827", + "issue:11432|issue:7982", + "issue:8359|issue:8900", + "issue:4974|issue:6584", + "issue:5997|issue:7138", + "issue:10026|issue:5197", + "issue:10382|issue:9331", + "issue:2830|issue:938", + "issue:4580|issue:4631", + "issue:7168|issue:7238" + ], + "prepared_review_unit_hash": "156897c6af5661483b79dae1a0d243645353592ca2810563778b19e09784af6f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33785, + "estimated_input_tokens": 8447, + "estimated_eval_tokens": 17150 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated Diffusers issues spanning loaders, schedulers, IP-Adapter, Flux, and training scripts. The only clear duplicate-like pair is the DreamBooth LoRA resume-from-checkpoint reports (3279/3346).", + "confidence": 0.86, + "canonical_issue_reason": "issue:3346 is the cleaner, more concrete report: it explicitly targets examples/dreambooth/train_dreambooth_lora.py and the resume_from_checkpoint gap, making it the best anchor for the paired resume bug.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3346 is the strongest representative issue in this set because it is specific, actionable, and directly tied to the duplicated resume_from_checkpoint problem in a named script.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6732", + "right": "issue:7053", + "accept": false, + "reason": "Different problem classes: scheduler docs for trained_betas vs a 3D UNet class-conditioning bug." + }, + { + "left": "issue:6226", + "right": "issue:9421", + "accept": false, + "reason": "Unrelated conversion/loading failures affecting different model flows and different root causes." + }, + { + "left": "issue:3279", + "right": "issue:3346", + "accept": true, + "reason": "Same underlying DreamBooth LoRA resume-from-checkpoint problem in the same train_dreambooth_lora.py path; one is a bug report, the other requests the missing support." + }, + { + "left": "issue:2299", + "right": "issue:460", + "accept": false, + "reason": "Different subsystems and failures: checkpoint conversion/import vs ONNX runtime dependency selection." + }, + { + "left": "issue:4436", + "right": "issue:4453", + "accept": false, + "reason": "Both are model conversion topics, but they concern different artifacts and workflows (CivitAI VAE conversion vs SDXL LoRA export)." + }, + { + "left": "issue:7440", + "right": "issue:7879", + "accept": false, + "reason": "Related dataset names, but one is dataset availability and the other is a dataset/caption asset request; not the same bug or change." + }, + { + "left": "issue:9209", + "right": "issue:9804", + "accept": false, + "reason": "Network/mirror connectivity issue versus local ControlNet loading failure; different code paths." + }, + { + "left": "issue:6069", + "right": "issue:6117", + "accept": false, + "reason": "Both are scheduler add_noise bugs, but they affect different schedulers and appear to be separate concrete defects." + }, + { + "left": "issue:4286", + "right": "issue:5226", + "accept": false, + "reason": "Different LoRA-loading failures in different SDXL pipelines; too broad to treat as one concrete bug." + }, + { + "left": "issue:11922", + "right": "issue:9309", + "accept": false, + "reason": "Both involve Flux, but one is a fill-dev runtime problem and the other is a ControlNet pipeline bug; not the same issue." + }, + { + "left": "issue:2161", + "right": "issue:4566", + "accept": false, + "reason": "Inpainting LoRA training versus SDXL checkpoint resume support are different training scenarios and fixes." + }, + { + "left": "issue:5317", + "right": "issue:5341", + "accept": false, + "reason": "Documentation/API update and example-script update are related, but not the same underlying bug or change." + }, + { + "left": "issue:6008", + "right": "issue:8469", + "accept": false, + "reason": "Different IP-Adapter face-related failures with different models and symptoms." + }, + { + "left": "issue:9142", + "right": "issue:9643", + "accept": false, + "reason": "Both mention multiple ControlNets, but they target different models/pipelines and different errors." + }, + { + "left": "issue:5886", + "right": "issue:8827", + "accept": false, + "reason": "IP-Adapter face model support request versus a FaceID SDXL usage error; not the same concrete problem." + }, + { + "left": "issue:11432", + "right": "issue:7982", + "accept": false, + "reason": "Completely different bugs: from_pretrained dtype handling vs from_pipe with MultiControlNetModel." + }, + { + "left": "issue:8359", + "right": "issue:8900", + "accept": false, + "reason": "Both involve from_single_file, but one is a general custom-checkpoint failure and the other is a specific load question for an SDXL refiner." + }, + { + "left": "issue:4974", + "right": "issue:6584", + "accept": false, + "reason": "Both are conversion issues, but they involve different models and distinct conversion failures." + }, + { + "left": "issue:5997", + "right": "issue:7138", + "accept": false, + "reason": "SDXL tutorial type mismatch versus SDXL UNet structure mismatch are separate issues." + }, + { + "left": "issue:10026", + "right": "issue:5197", + "accept": false, + "reason": "Different multi-GPU complaints: memory not reducing under DeepSpeed stage-3 versus training being slower on SD1.5." + }, + { + "left": "issue:10382", + "right": "issue:9331", + "accept": false, + "reason": "VAE forward return-type mismatch and scheduler timestep indexing are unrelated bugs." + }, + { + "left": "issue:2830", + "right": "issue:938", + "accept": false, + "reason": "Different application domains: video generation question versus text-to-motion model topic." + }, + { + "left": "issue:4580", + "right": "issue:4631", + "accept": false, + "reason": "Both are scheduler/Karras-related, but they are different schedulers with different failure modes." + }, + { + "left": "issue:7168", + "right": "issue:7238", + "accept": false, + "reason": "IP-Adapter embedding-shape confusion versus IP-Adapter masking; not the same bug or fix." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted soft-edge pair, issue:3279 / issue:3346, is well supported by the titles and shared train_dreambooth_lora.py resume_from_checkpoint context. The remaining pairs are appropriately rejected as different bugs or too broad to merge confidently." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 90, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10180", + "issue:10650", + "issue:10772", + "issue:10823", + "issue:10866", + "issue:10937", + "issue:11169", + "issue:11560", + "issue:12396", + "issue:12547", + "issue:12656", + "issue:12771", + "issue:1304", + "issue:1534", + "issue:1556", + "issue:2107", + "issue:2596", + "issue:2988", + "issue:3124", + "issue:3250", + "issue:3728", + "issue:3799", + "issue:3813", + "issue:434", + "issue:4724", + "issue:4806", + "issue:4925", + "issue:5012", + "issue:5026", + "issue:5152", + "issue:5412", + "issue:5432", + "issue:5603", + "issue:5753", + "issue:5846", + "issue:5997", + "issue:6407", + "issue:7041", + "issue:7377", + "issue:7420", + "issue:861", + "issue:9112", + "issue:9237", + "issue:9501", + "issue:9619", + "issue:9907", + "issue:9936" + ], + "soft_pairs": [ + "issue:2988|issue:7041", + "issue:12656|issue:12771", + "issue:3728|issue:6407", + "issue:1534|issue:434", + "issue:10180|issue:12396", + "issue:4925|issue:5997", + "issue:5012|issue:5432", + "issue:9237|issue:9501", + "issue:9907|issue:9936", + "issue:10772|issue:9619", + "issue:10650|issue:10866", + "issue:10823|issue:12547", + "issue:10937|issue:7420", + "issue:1304|issue:3813", + "issue:4724|issue:7041", + "issue:5026|issue:5152", + "issue:5412|issue:5846", + "issue:11169|issue:11560", + "issue:1556|issue:2107", + "issue:3124|issue:5753", + "issue:2596|issue:5603", + "issue:7377|issue:9112", + "issue:3250|issue:861", + "issue:3799|issue:4806" + ], + "prepared_review_unit_hash": "07426f30ce51dcc154f70ab83ab9872d51747137e6b4ef46593d1516cef0f3f5", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33423, + "estimated_input_tokens": 8356, + "estimated_eval_tokens": 16968 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft-edge pair is strong enough to accept. The cluster is mostly heterogeneous issue reports with only weak title-level similarity between a few items. In particular, 5412/5846 are both SDXL LoRA training issues, but they are different scripts and the packet provides no body-level evidence to call them the same bug.", + "confidence": 0.91, + "canonical_issue_reason": "issue:5412 is the broadest title in the only loosely related SDXL LoRA resume/checkpoint subset, but the evidence is too thin to treat it as a confirmed duplicate anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5412 is the closest representative of the weak SDXL LoRA training subgroup, even though it should not be merged with 5846 on the available evidence.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2988", + "right": "issue:7041", + "accept": false, + "reason": "Both are scheduler/runtime crashes, but they describe different failure conditions and code paths." + }, + { + "left": "issue:12656", + "right": "issue:12771", + "accept": false, + "reason": "Different subsystems and different out-of-bounds causes; only the symptom is similar." + }, + { + "left": "issue:3728", + "right": "issue:6407", + "accept": false, + "reason": "Both are requests for new pipelines, but they are unrelated features and not the same change." + }, + { + "left": "issue:1534", + "right": "issue:434", + "accept": false, + "reason": "Both mention training notebooks, but they are different notebook/version problems." + }, + { + "left": "issue:10180", + "right": "issue:12396", + "accept": false, + "reason": "Both involve adapters/LoRA, but one is loading multiple LoRAs and the other is delete_adapters/leaf_level behavior." + }, + { + "left": "issue:4925", + "right": "issue:5997", + "accept": false, + "reason": "Different SDXL ControlNet problems: OOM during distributed training versus a model-type tutorial/import mismatch." + }, + { + "left": "issue:5012", + "right": "issue:5432", + "accept": false, + "reason": "Same script, but different bugs: text encoder training support versus blank validation images." + }, + { + "left": "issue:9237", + "right": "issue:9501", + "accept": false, + "reason": "Both are Flux Dreambooth-related, but one is a general training issue and the other is delayed model saving." + }, + { + "left": "issue:9907", + "right": "issue:9936", + "accept": false, + "reason": "Both are Flux controlnet training reports, but sequence-length warnings and NCCL timeouts are different issues." + }, + { + "left": "issue:10772", + "right": "issue:9619", + "accept": false, + "reason": "ControlNet-related, but one is adding Sana support and the other is interrupt support for a pipeline." + }, + { + "left": "issue:10650", + "right": "issue:10866", + "accept": false, + "reason": "Both are Lumina issues, but one is a shape error and the other is a LoRA compatibility problem." + }, + { + "left": "issue:10823", + "right": "issue:12547", + "accept": false, + "reason": "Unrelated training/inference issues: missing output files versus a required argument error." + }, + { + "left": "issue:10937", + "right": "issue:7420", + "accept": false, + "reason": "Both mention torch.compile, but the reported failures are not the same concrete compile-path bug." + }, + { + "left": "issue:1304", + "right": "issue:3813", + "accept": false, + "reason": "General training help request versus a multi-GPU parallelism question; not duplicates." + }, + { + "left": "issue:4724", + "right": "issue:7041", + "accept": false, + "reason": "Different pipelines and different failure modes; only the wording is loosely error-like." + }, + { + "left": "issue:5026", + "right": "issue:5152", + "accept": false, + "reason": "Both are import/configuration bugs, but they affect different objects and versions." + }, + { + "left": "issue:5412", + "right": "issue:5846", + "accept": false, + "reason": "Related SDXL LoRA training scripts, but the packet only shows titles; different scripts and no body-level evidence make the duplicate claim too weak." + }, + { + "left": "issue:11169", + "right": "issue:11560", + "accept": false, + "reason": "Both are import errors, but they are different missing/binary-incompatibility problems." + }, + { + "left": "issue:1556", + "right": "issue:2107", + "accept": false, + "reason": "Both mention black images, but the triggers and contexts are different." + }, + { + "left": "issue:3124", + "right": "issue:5753", + "accept": false, + "reason": "Different conversion/load-lora issues in different pipelines; not the same bug." + }, + { + "left": "issue:2596", + "right": "issue:5603", + "accept": false, + "reason": "Both are documentation/import-related, but they reference different missing symbols and fixes." + }, + { + "left": "issue:7377", + "right": "issue:9112", + "accept": false, + "reason": "Different model pipelines and different inference errors." + }, + { + "left": "issue:3250", + "right": "issue:861", + "accept": false, + "reason": "One is a pipeline execution problem, the other is a model conversion problem." + }, + { + "left": "issue:3799", + "right": "issue:4806", + "accept": false, + "reason": "Both are type-related reports, but they concern different classes and different API surfaces." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The writeup is mostly conservative, but it overreaches on the one accepted soft edge. 5412 and 5846 are in related SDXL LoRA training scripts, but the packet only gives titles, and they are different scripts with no body-level evidence here; calling them the same bug / same script is too strong. Because the evaluation should stay conservative when evidence is thin, I can\u2019t accept this summary as grounded enough." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 91, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10514", + "issue:10804", + "issue:10883", + "issue:10962", + "issue:11432", + "issue:11627", + "issue:11651", + "issue:1197", + "issue:12752", + "issue:1919", + "issue:2107", + "issue:2132", + "issue:2156", + "issue:2218", + "issue:2616", + "issue:3250", + "issue:3284", + "issue:3454", + "issue:3651", + "issue:3954", + "issue:4080", + "issue:4356", + "issue:4390", + "issue:4936", + "issue:5395", + "issue:5518", + "issue:557", + "issue:5798", + "issue:5799", + "issue:5919", + "issue:6131", + "issue:6149", + "issue:6159", + "issue:6224", + "issue:6278", + "issue:7223", + "issue:746", + "issue:761", + "issue:8732", + "issue:9187", + "issue:9297", + "issue:9403", + "issue:9448", + "issue:9576", + "issue:9673", + "issue:9744", + "issue:9825", + "issue:9841" + ], + "soft_pairs": [ + "issue:4356|issue:4936", + "issue:7223|issue:9744", + "issue:2132|issue:2156", + "issue:2218|issue:761", + "issue:10804|issue:11651", + "issue:1197|issue:4080", + "issue:2132|issue:3454", + "issue:3250|issue:746", + "issue:1919|issue:4390", + "issue:3954|issue:6278", + "issue:2107|issue:557", + "issue:6224|issue:8732", + "issue:11627|issue:9448", + "issue:9403|issue:9825", + "issue:9576|issue:9841", + "issue:2132|issue:3284", + "issue:11432|issue:9187", + "issue:3651|issue:3954", + "issue:5799|issue:6159", + "issue:10883|issue:12752", + "issue:5798|issue:5799", + "issue:5395|issue:5518", + "issue:2616|issue:5919", + "issue:6131|issue:6149", + "issue:10514|issue:10962", + "issue:9297|issue:9673" + ], + "prepared_review_unit_hash": "82b4efaa8ce64709b82358c34e6a384be8ea992155246f5ffb7f0875ef2ed369", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34259, + "estimated_input_tokens": 8565, + "estimated_eval_tokens": 17386 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated pipeline feature requests, LoRA/IP-Adapter loading bugs, training-script failures, and docs/examples issues. None of the soft pairs look like the same underlying bug or mergeable change, so I would not deduplicate any of them.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4356", + "right": "issue:4936", + "accept": false, + "reason": "Different failures in different example flows: a missing module on 0.19.2 versus DreamBooth resume being broken." + }, + { + "left": "issue:7223", + "right": "issue:9744", + "accept": false, + "reason": "Both are video-model feature requests, but for different models (Latte vs Mochi) and not the same change." + }, + { + "left": "issue:2132", + "right": "issue:2156", + "accept": false, + "reason": "Same DreamBooth script area, but one is an Accelerator trackers attribute error and the other is CPU-vs-GPU training behavior." + }, + { + "left": "issue:2218", + "right": "issue:761", + "accept": false, + "reason": "Unrelated training problems: overfitting/overtraining versus an 8-bit Adam optimizer failure." + }, + { + "left": "issue:10804", + "right": "issue:11651", + "accept": false, + "reason": "Both mention FLUX LoRA loading, but they involve different models/pipelines and distinct loader failures." + }, + { + "left": "issue:1197", + "right": "issue:4080", + "accept": false, + "reason": "Completely different feature requests: a community OpenAI diffusion pipeline versus SDXL inpainting support." + }, + { + "left": "issue:2132", + "right": "issue:3454", + "accept": false, + "reason": "Both touch DreamBooth scripts, but the reported bugs are different and not clearly the same code-path failure." + }, + { + "left": "issue:3250", + "right": "issue:746", + "accept": false, + "reason": "Different pipelines and different problems: K-Diffusion pipeline runtime failure versus ONNX revision loading." + }, + { + "left": "issue:1919", + "right": "issue:4390", + "accept": false, + "reason": "Both are requirements-related, but one is a missing dependency in a dreambooth example and the other is a generic missing-requirements report." + }, + { + "left": "issue:3954", + "right": "issue:6278", + "accept": false, + "reason": "Both mention multi-GPU training, but one is a scheduler step-count bug and the other is a distinct training run failure." + }, + { + "left": "issue:2107", + "right": "issue:557", + "accept": false, + "reason": "Different image-quality complaints with different algorithms/contexts; not the same bug." + }, + { + "left": "issue:6224", + "right": "issue:8732", + "accept": false, + "reason": "Both are training issues, but one is TorchDynamo-related and the other is checkpoint saving in advanced training." + }, + { + "left": "issue:11627", + "right": "issue:9448", + "accept": false, + "reason": "Both involve IP-Adapter, but on different pipelines and with different symptoms; not the same fixable code-path problem." + }, + { + "left": "issue:9403", + "right": "issue:9825", + "accept": false, + "reason": "Related domain, but one is Xlabs IP-Adapter support and the other is general FLUX IPAdapter support; scope differs too much to merge." + }, + { + "left": "issue:9576", + "right": "issue:9841", + "accept": false, + "reason": "Unrelated issues: pipeline submodule loading of torch_dtype versus a DreamBooth SDXL LoRA TypeError with use_dora=False." + }, + { + "left": "issue:2132", + "right": "issue:3284", + "accept": false, + "reason": "Both are accelerate/DreamBooth script complaints, but the concrete failures are not the same and could require different fixes." + }, + { + "left": "issue:11432", + "right": "issue:9187", + "accept": false, + "reason": "Different loading/config bugs: torch_dtype='auto' handling versus SDXL IP-Adapter behavior after the Kolors update." + }, + { + "left": "issue:3651", + "right": "issue:3954", + "accept": false, + "reason": "Both mention multi-GPU, but one is a run failure and the other is a learning-rate scheduler accounting bug." + }, + { + "left": "issue:5799", + "right": "issue:6159", + "accept": false, + "reason": "Different keyword-argument support issues in different pipelines; not the same underlying bug." + }, + { + "left": "issue:10883", + "right": "issue:12752", + "accept": false, + "reason": "Separate feature requests for different model families and different pipeline additions." + }, + { + "left": "issue:5798", + "right": "issue:5799", + "accept": false, + "reason": "Both are API-argument problems, but they affect different pipelines and different parameters." + }, + { + "left": "issue:5395", + "right": "issue:5518", + "accept": false, + "reason": "Both involve LoRAs, but one is PEFT combination behavior and the other is a ModuleList attribute error." + }, + { + "left": "issue:2616", + "right": "issue:5919", + "accept": false, + "reason": "Different LoRA training internals failures: saving attn processors versus missing set_lora_layer." + }, + { + "left": "issue:6131", + "right": "issue:6149", + "accept": false, + "reason": "Both are IP-Adapter load problems, but they concern different variants/models and distinct errors." + }, + { + "left": "issue:10514", + "right": "issue:10962", + "accept": false, + "reason": "Different pipelines and different shape/config issues; no shared underlying bug is evident." + }, + { + "left": "issue:9297", + "right": "issue:9673", + "accept": false, + "reason": "Both are about multiple LoRAs and performance, but one is linear load-time growth and the other is high CPU usage; too vague to treat as the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 92, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10302", + "issue:10392", + "issue:10428", + "issue:10512", + "issue:10542", + "issue:10672", + "issue:10963", + "issue:11010", + "issue:11199", + "issue:11363", + "issue:11436", + "issue:11710", + "issue:11777", + "issue:12396", + "issue:12738", + "issue:13079", + "issue:1565", + "issue:2089", + "issue:2412", + "issue:2695", + "issue:2707", + "issue:2844", + "issue:2991", + "issue:3094", + "issue:3481", + "issue:4307", + "issue:4402", + "issue:455", + "issue:4566", + "issue:457", + "issue:4849", + "issue:5128", + "issue:579", + "issue:6226", + "issue:6460", + "issue:6839", + "issue:684", + "issue:7142", + "issue:8435", + "issue:8543", + "issue:8659", + "issue:8708", + "issue:9096", + "issue:9200", + "issue:9258", + "issue:9264", + "issue:9861" + ], + "soft_pairs": [ + "issue:11010|issue:9861", + "issue:2089|issue:684", + "issue:6460|issue:9264", + "issue:8543|issue:8708", + "issue:4402|issue:6839", + "issue:455|issue:457", + "issue:11777|issue:9258", + "issue:2844|issue:4307", + "issue:2707|issue:6226", + "issue:10542|issue:12738", + "issue:10302|issue:12396", + "issue:4566|issue:8659", + "issue:4849|issue:579", + "issue:11363|issue:13079", + "issue:3481|issue:7142", + "issue:5128|issue:8435", + "issue:10428|issue:9096", + "issue:11436|issue:9200", + "issue:2089|issue:2412", + "issue:1565|issue:3094", + "issue:2695|issue:2991", + "issue:10392|issue:10512", + "issue:10672|issue:11710", + "issue:10963|issue:11199" + ], + "prepared_review_unit_hash": "9a3ceaa30b0c33814070668a8c99883196830b12026005521143c55baeccb98a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33318, + "estimated_input_tokens": 8330, + "estimated_eval_tokens": 16916 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a loose thematic collection of Diffusers issues (Flux, training, import/runtime errors, memory/dtype problems), not a true duplicate cluster. None of the soft-edge pairs looks like the same concrete bug/change, so all should be rejected.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10302 is the broadest Flux inference-regression report in the set, but the surrounding items are too heterogeneous for a true canonical duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11010", + "right": "issue:9861", + "accept": false, + "reason": "Both mention Flux training, but one is about supporting a new Chroma architecture and the other about weights not updating; different problems." + }, + { + "left": "issue:2089", + "right": "issue:684", + "accept": false, + "reason": "Both involve memory, but one is DreamBooth OOM during training and the other is AMD-specific training memory optimization behavior; not the same bug." + }, + { + "left": "issue:6460", + "right": "issue:9264", + "accept": false, + "reason": "One is an endless model-loading failure, the other is a feature request for a Flux inpainting model." + }, + { + "left": "issue:8543", + "right": "issue:8708", + "accept": false, + "reason": "Both are SD3 training-example issues, but one is gradient checkpointing failure and the other is a missing VAE config field; distinct root causes." + }, + { + "left": "issue:4402", + "right": "issue:6839", + "accept": false, + "reason": "Both are from_single_file problems, but they refer to different pipelines and different failure modes." + }, + { + "left": "issue:455", + "right": "issue:457", + "accept": false, + "reason": "Different MPS issues: one is an index.Tensor NotImplementedError, the other is blue artifacts." + }, + { + "left": "issue:11777", + "right": "issue:9258", + "accept": false, + "reason": "Training-LoRA help question versus a performance discrepancy between Linux and Windows; not a duplicate bug report." + }, + { + "left": "issue:2844", + "right": "issue:4307", + "accept": false, + "reason": "Both mention loading-related errors, but one is explicit image embeddings in StableUnCLIPImg2Img and the other is local_files_only from_pretrained behavior." + }, + { + "left": "issue:2707", + "right": "issue:6226", + "accept": false, + "reason": "Both reference the conversion script, but one is a syntax error and the other is downstream loading errors in webui." + }, + { + "left": "issue:10542", + "right": "issue:12738", + "accept": false, + "reason": "Both are batch-size>1 failures, but they are different pipelines and different concrete errors." + }, + { + "left": "issue:10302", + "right": "issue:12396", + "accept": false, + "reason": "Both are inference/runtime issues, but one is FP8 noise and the other is leaf_level plus delete_adapters errors; not the same bug." + }, + { + "left": "issue:4566", + "right": "issue:8659", + "accept": false, + "reason": "Both involve resume/load behavior for LoRA/text-to-image training, but one is SDXL checkpoint resume and the other is train_text_to_image_sdxl infer/resume failure." + }, + { + "left": "issue:4849", + "right": "issue:579", + "accept": false, + "reason": "Multiple GPU training vs missing config.json during textual inversion are unrelated." + }, + { + "left": "issue:11363", + "right": "issue:13079", + "accept": false, + "reason": "Both mention OOM, but one is a ControlNet inference example and the other is FLUX.2-klein in a for-loop with different images." + }, + { + "left": "issue:3481", + "right": "issue:7142", + "accept": false, + "reason": "Both are about inference determinism/consistency, but one is DDIM step-count variability and the other is SDXL-lightning mismatch with webui." + }, + { + "left": "issue:5128", + "right": "issue:8435", + "accept": false, + "reason": "Both are loading issues, but one is local safetensors with XLPipeline.from_single_file and the other is a generic runtime error from from_single_file." + }, + { + "left": "issue:10428", + "right": "issue:9096", + "accept": false, + "reason": "Both are Flux inference errors, but one is Ascend NPU import/runtime failure and the other is torch.half NaN output on inference." + }, + { + "left": "issue:11436", + "right": "issue:9200", + "accept": false, + "reason": "Both are dtype errors, but they affect different pipelines and different mismatched types (Half vs BFloat16 in Hidream vs SDXL ControlNet dtype regression)." + }, + { + "left": "issue:2089", + "right": "issue:2412", + "accept": false, + "reason": "Both are training-related, but one is CUDA OOM and the other is a generic DreamBooth error; not the same concrete failure." + }, + { + "left": "issue:1565", + "right": "issue:3094", + "accept": false, + "reason": "Both are OOM complaints, but one is inference device placement and the other is DreamBooth fine-tuning memory usage." + }, + { + "left": "issue:2695", + "right": "issue:2991", + "accept": false, + "reason": "Both involve training/validation behavior, but one is TensorBoard validation failure in ControlNet training and the other is mixed-precision failure in the ControlNet example." + }, + { + "left": "issue:10392", + "right": "issue:10512", + "accept": false, + "reason": "Both mention Flux LoRA/load behavior, but one is a specific model combo and the other is Quanto Flux LoRA loading; too different to merge." + }, + { + "left": "issue:10672", + "right": "issue:11710", + "accept": false, + "reason": "One is a request to support callback_on_step_end for pipelines, the other is a request to support MagCache; separate feature requests." + }, + { + "left": "issue:10963", + "right": "issue:11199", + "accept": false, + "reason": "Different import failures for unrelated modules: AutoencoderKLWan versus diffusers.pipelines.onnx_utils." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 93, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10421", + "issue:10447", + "issue:10757", + "issue:11225", + "issue:11241", + "issue:11352", + "issue:11374", + "issue:11561", + "issue:1185", + "issue:12011", + "issue:13067", + "issue:13079", + "issue:1919", + "issue:1944", + "issue:2091", + "issue:2806", + "issue:2904", + "issue:3191", + "issue:3250", + "issue:378", + "issue:4368", + "issue:4398", + "issue:4733", + "issue:4790", + "issue:4837", + "issue:4849", + "issue:5226", + "issue:5412", + "issue:5892", + "issue:6176", + "issue:6524", + "issue:6561", + "issue:6790", + "issue:6794", + "issue:6894", + "issue:7197", + "issue:7238", + "issue:7310", + "issue:771", + "issue:817", + "issue:8493", + "issue:8511", + "issue:8790", + "issue:8950", + "issue:9109", + "issue:9358", + "issue:9876" + ], + "soft_pairs": [ + "issue:2091|issue:7197", + "issue:3191|issue:4398", + "issue:1919|issue:817", + "issue:5226|issue:9109", + "issue:10421|issue:11352", + "issue:2904|issue:3250", + "issue:6790|issue:8493", + "issue:10447|issue:10757", + "issue:4790|issue:4837", + "issue:4733|issue:7310", + "issue:6176|issue:9876", + "issue:6524|issue:6561", + "issue:11225|issue:11241", + "issue:11374|issue:13067", + "issue:11561|issue:8790", + "issue:1185|issue:1944", + "issue:5412|issue:6894", + "issue:5892|issue:6794", + "issue:8511|issue:9358", + "issue:4368|issue:8950", + "issue:12011|issue:13079", + "issue:6561|issue:7238", + "issue:378|issue:4849", + "issue:2806|issue:771" + ], + "prepared_review_unit_hash": "60b0d3acaa66a0757184196bbccd83d812ef7bcb2f7d55edb23af0e49f81b07d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33187, + "estimated_input_tokens": 8297, + "estimated_eval_tokens": 16850 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: mostly training/LoRA/OOM bugs, converter-script issues, and a few unrelated feature requests. There are no PRs in the set. The most representative issue is the SD3/LoRA text-encoder unloading bug, but the items do not form a tight duplicate cluster.", + "confidence": 0.42, + "canonical_issue_reason": "issue:8511 is the clearest concrete code-path bug in the set: SD3 Dreambooth/LoRA scripts failing to unload text encoders, which matches the recurring VRAM/memory theme better than the more generic or unrelated reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8511 is the best overall representative because it is specific, actionable, and central to the memory-management complaints in this cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2091", + "right": "issue:7197", + "accept": false, + "reason": "Both involve training resume failures, but they are different scripts and distinct errors: multi-GPU checkpoint resume vs a KeyError on shortest-edge preprocessing." + }, + { + "left": "issue:3191", + "right": "issue:4398", + "accept": false, + "reason": "Both mention Dreambooth/LoRA, but one is a broken training combination and the other is black-image output in an SDXL LoRA-dreambooth pipeline; different bugs." + }, + { + "left": "issue:1919", + "right": "issue:817", + "accept": false, + "reason": "Missing datasets in requirements.txt is unrelated to the mixed-precision/BF16 training issue." + }, + { + "left": "issue:5226", + "right": "issue:9109", + "accept": false, + "reason": "StableDiffusionXLAdapterPipeline LoRA-loading behavior and a missing torchvision::nms operator are unrelated failures." + }, + { + "left": "issue:10421", + "right": "issue:11352", + "accept": false, + "reason": "One is a CPU memory leak when moving pipelines across multiple GPUs; the other is a missing warning for moving an 8bit model to CPU." + }, + { + "left": "issue:2904", + "right": "issue:3250", + "accept": false, + "reason": "AudioLDM NoneType scheduler error and StableDiffusionKDiffusionPipeline startup failure are different pipeline bugs." + }, + { + "left": "issue:6790", + "right": "issue:8493", + "accept": false, + "reason": "Both are state_dict-loading errors, but they affect different models and different incompatibility paths." + }, + { + "left": "issue:10447", + "right": "issue:10757", + "accept": false, + "reason": "Converter file-splitting breaking workflows is not the same as a variable-name rename request." + }, + { + "left": "issue:4790", + "right": "issue:4837", + "accept": false, + "reason": "Both involve Stable Diffusion conversion scripts, but one is round-trip incompatibility while the other is an SDXL model conversion failure." + }, + { + "left": "issue:4733", + "right": "issue:7310", + "accept": false, + "reason": "Checkpoint resume/optimizer-state failure is different from defaults not working in the SDXL LoRA training script." + }, + { + "left": "issue:6176", + "right": "issue:9876", + "accept": false, + "reason": "Loading a LoRA after Dreambooth training and general VRAM not being released after LoRA training are related themes, but not the same concrete bug." + }, + { + "left": "issue:6524", + "right": "issue:6561", + "accept": false, + "reason": "A second LoRA load failing is unrelated to an IP-Adapter missing config.json error." + }, + { + "left": "issue:11225", + "right": "issue:11241", + "accept": false, + "reason": "One is validation-step OOM in SD3 ControlNet training; the other is a floating point exception in Flux ControlNet training." + }, + { + "left": "issue:11374", + "right": "issue:13067", + "accept": false, + "reason": "These are separate feature requests for different model families (SkyReels-V2 vs Anima)." + }, + { + "left": "issue:11561", + "right": "issue:8790", + "accept": false, + "reason": "Both mention IP-Adapter, but one is FluxFill support and the other is SDXL TensorRT integration; different requests and code paths." + }, + { + "left": "issue:1185", + "right": "issue:1944", + "accept": false, + "reason": "Dreambooth reproducibility complaints are not the same as a specific prompt producing random results." + }, + { + "left": "issue:5412", + "right": "issue:6894", + "accept": false, + "reason": "Resume-from-checkpoint failure in one training script is not the same as LoRA output not working in A1111." + }, + { + "left": "issue:5892", + "right": "issue:6794", + "accept": false, + "reason": "Generic import error and a specific cast_training_params import failure are not the same bug." + }, + { + "left": "issue:8511", + "right": "issue:9358", + "accept": false, + "reason": "Both involve text-encoder handling in LoRA training, but they describe different concrete problems and different scripts; not enough evidence they are the same bug." + }, + { + "left": "issue:4368", + "right": "issue:8950", + "accept": false, + "reason": "Both are training bugs, but one is SDXL LoRA OOM and the other is an SD3 LoRA training issue." + }, + { + "left": "issue:12011", + "right": "issue:13079", + "accept": false, + "reason": "Both report OOMs, but they are different models and different execution contexts, so they are not the same underlying bug." + }, + { + "left": "issue:6561", + "right": "issue:7238", + "accept": false, + "reason": "Missing IP-Adapter config.json is unrelated to IP-Adapter masking behavior." + }, + { + "left": "issue:378", + "right": "issue:4849", + "accept": false, + "reason": "Textual inversion distribution math and multi-GPU training usage are different issues." + }, + { + "left": "issue:2806", + "right": "issue:771", + "accept": false, + "reason": "Custom pipeline printing behavior is unrelated to BF16 not working in Dreambooth." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 94, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10470", + "issue:10674", + "issue:10989", + "issue:11436", + "issue:1181", + "issue:12147", + "issue:12321", + "issue:12412", + "issue:12459", + "issue:12565", + "issue:1742", + "issue:2392", + "issue:2439", + "issue:2560", + "issue:3363", + "issue:3631", + "issue:3706", + "issue:3984", + "issue:4241", + "issue:4480", + "issue:4551", + "issue:4665", + "issue:4724", + "issue:4733", + "issue:4975", + "issue:4985", + "issue:5028", + "issue:5474", + "issue:5510", + "issue:5529", + "issue:5575", + "issue:5606", + "issue:5633", + "issue:5719", + "issue:5798", + "issue:6136", + "issue:6230", + "issue:6506", + "issue:6520", + "issue:6879", + "issue:7239", + "issue:8472", + "issue:8939", + "issue:9025", + "issue:9032", + "issue:9443", + "issue:9613" + ], + "soft_pairs": [ + "issue:4975|issue:5606", + "issue:10470|issue:10674", + "issue:5575|issue:8472", + "issue:10989|issue:12147", + "issue:1181|issue:4241", + "issue:3706|issue:5474", + "issue:6879|issue:7239", + "issue:9025|issue:9032", + "issue:4665|issue:5719", + "issue:4985|issue:6520", + "issue:3363|issue:4733", + "issue:4551|issue:8939", + "issue:12321|issue:12412", + "issue:2439|issue:3631", + "issue:5529|issue:5633", + "issue:5529|issue:6230", + "issue:1742|issue:2560", + "issue:3984|issue:4724", + "issue:12459|issue:12565", + "issue:4480|issue:6136", + "issue:9443|issue:9613", + "issue:2392|issue:6506", + "issue:11436|issue:5510", + "issue:5028|issue:5798" + ], + "prepared_review_unit_hash": "e8d9411b2961ab0c1f6c374d9eb5ce52dbc27ca9d1bc9d0aaf7ae3d585a52031", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 34096, + "estimated_input_tokens": 8524, + "estimated_eval_tokens": 17304 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is largely heterogeneous: most items are unrelated bug reports or feature/support requests across different models, pipelines, and failure modes. Only the LoRA weight file-selection pair (4665/5719) looks like the same underlying loading bug.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4975", + "right": "issue:5606", + "accept": false, + "reason": "Repeated dtype-query inefficiency and missing LoRA alpha are different LoRA-loading problems." + }, + { + "left": "issue:10470", + "right": "issue:10674", + "accept": false, + "reason": "Both are Flux inference failures, but one is torchao-related and the other is GGUF/pipeline loading; not the same bug." + }, + { + "left": "issue:5575", + "right": "issue:8472", + "accept": false, + "reason": "Hidden-size configuration in LoRA training is unrelated to simultaneous pre-training with other modules." + }, + { + "left": "issue:10989", + "right": "issue:12147", + "accept": false, + "reason": "Different model families and different LoRA-loading failure modes; not one concrete bug." + }, + { + "left": "issue:1181", + "right": "issue:4241", + "accept": false, + "reason": "Training-from-scratch is a separate request from supporting LoRA fine-tuning." + }, + { + "left": "issue:3706", + "right": "issue:5474", + "accept": false, + "reason": "These are distinct new-pipeline proposals for different models and use cases." + }, + { + "left": "issue:6879", + "right": "issue:7239", + "accept": false, + "reason": "Both are training errors, but one is a dtype mismatch and the other is a tensor-shape mismatch in a different workflow." + }, + { + "left": "issue:9025", + "right": "issue:9032", + "accept": false, + "reason": "Both mention Flax/TPU, but one is from_single_file loading and the other is a minimal working example request." + }, + { + "left": "issue:4665", + "right": "issue:5719", + "accept": true, + "reason": "Both point to the same LoRA weight-file resolution bug; 5719 reads like the fix for preferring pytorch_lora_weights files before the multiple-file branch." + }, + { + "left": "issue:4985", + "right": "issue:6520", + "accept": false, + "reason": "An OOM during SDXL training is not the same as blank validation output in adapter training." + }, + { + "left": "issue:3363", + "right": "issue:4733", + "accept": false, + "reason": "Same script family, but one is a cross-machine failure and the other is a checkpoint-resume bug." + }, + { + "left": "issue:4551", + "right": "issue:8939", + "accept": false, + "reason": "Different models and different failure types; SDXL Dreambooth crash is unrelated to SD3 tokenizer loading." + }, + { + "left": "issue:12321", + "right": "issue:12412", + "accept": false, + "reason": "These are adjacent feature requests for different HunyuanImage versions, not the same change." + }, + { + "left": "issue:2439", + "right": "issue:3631", + "accept": false, + "reason": "Generic inpainting load/run problems are not the same as the specific latent-input exception." + }, + { + "left": "issue:5529", + "right": "issue:5633", + "accept": false, + "reason": "Different files and different code paths: a training script bug versus a temporal transformer bug." + }, + { + "left": "issue:5529", + "right": "issue:6230", + "accept": false, + "reason": "One is a generic training-script bug; the other is an OOM report for the same script, which is a different failure mode." + }, + { + "left": "issue:1742", + "right": "issue:2560", + "accept": false, + "reason": "Inference-speed variability and nondeterministic outputs with generator lists are unrelated bugs." + }, + { + "left": "issue:3984", + "right": "issue:4724", + "accept": false, + "reason": "Class-label requirements and SDXL img2img checkpoint behavior are unrelated." + }, + { + "left": "issue:12459", + "right": "issue:12565", + "accept": false, + "reason": "Different model families and different runtime issues; not mergeable as one bug." + }, + { + "left": "issue:4480", + "right": "issue:6136", + "accept": false, + "reason": "Both are Mac-related, but one is an MPS float16 kernel crash and the other is SD2.1 NaNs on CPU." + }, + { + "left": "issue:9443", + "right": "issue:9613", + "accept": false, + "reason": "Tokenizer instantiation failure and a Timesteps.scale attribute error are separate bugs." + }, + { + "left": "issue:2392", + "right": "issue:6506", + "accept": false, + "reason": "Img2img prompt_embeds validation and StableVideoDiffusion output type are unrelated." + }, + { + "left": "issue:11436", + "right": "issue:5510", + "accept": false, + "reason": "Both are dtype mismatches, but in different pipelines with different tensor combinations and code paths." + }, + { + "left": "issue:5028", + "right": "issue:5798", + "accept": false, + "reason": "Both are wrapper signature errors, but the unexpected keywords are different and arise in different pipelines." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted soft edge, 4665/5719, is plausibly the same LoRA weight-file resolution bug; the rest of the rejections are appropriately cautious given the differing titles and failure modes." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 95, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:1005", + "issue:10954", + "issue:11033", + "issue:11448", + "issue:11648", + "issue:1604", + "issue:1969", + "issue:2068", + "issue:2210", + "issue:222", + "issue:2548", + "issue:3177", + "issue:3296", + "issue:3418", + "issue:3564", + "issue:3569", + "issue:3661", + "issue:3984", + "issue:4183", + "issue:4213", + "issue:4250", + "issue:4303", + "issue:4399", + "issue:4418", + "issue:4488", + "issue:4724", + "issue:4835", + "issue:5432", + "issue:6130", + "issue:6243", + "issue:6666", + "issue:6967", + "issue:7138", + "issue:7146", + "issue:7223", + "issue:7311", + "issue:7421", + "issue:7682", + "issue:8503", + "issue:861", + "issue:8649", + "issue:8790", + "issue:9051", + "issue:9092", + "issue:9200", + "issue:9527", + "issue:9873" + ], + "soft_pairs": [ + "issue:11033|issue:7682", + "issue:3661|issue:4213", + "issue:10010|issue:11448", + "issue:10954|issue:11648", + "issue:8503|issue:8649", + "issue:7146|issue:7311", + "issue:1604|issue:3984", + "issue:4183|issue:4835", + "issue:3564|issue:3569", + "issue:7223|issue:9873", + "issue:3177|issue:3296", + "issue:4303|issue:4488", + "issue:9051|issue:9092", + "issue:1005|issue:861", + "issue:2210|issue:3418", + "issue:6243|issue:8790", + "issue:2548|issue:6130", + "issue:5432|issue:6666", + "issue:2068|issue:4250", + "issue:4399|issue:4418", + "issue:9200|issue:9527", + "issue:1969|issue:222", + "issue:6967|issue:7138", + "issue:4724|issue:7421" + ], + "prepared_review_unit_hash": "afa3a980cf98de42384896c5e402246604fcac5a9ef929bea5cde909f620138c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33715, + "estimated_input_tokens": 8429, + "estimated_eval_tokens": 17114 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly noisy and spans many unrelated Diffusers issues. I only accepted a few pairs that clearly point to the same underlying feature request or regression: Uni-ControlNet support, text-encoder LoRA training, blank validation images, and SDXL ControlNet dtype mismatches.", + "confidence": 0.79, + "canonical_issue_reason": "issue:3564 is the broadest and most central representative of the Uni-ControlNet feature request; it subsumes the more specific new-pipeline request.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3564 is the best overall anchor among the accepted duplicates because it is the umbrella feature request rather than the narrower follow-up issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11033", + "right": "issue:7682", + "accept": false, + "reason": "Different problems: single-file SD1.5 UNet loading vs multi-GPU runtime behavior." + }, + { + "left": "issue:3661", + "right": "issue:4213", + "accept": false, + "reason": "Both are loading issues, but for different models/code paths (SD 2.x from_ckpt vs SDXL from_single_file)." + }, + { + "left": "issue:10010", + "right": "issue:11448", + "accept": false, + "reason": "Different missing-resource problems for different models; not the same underlying bug." + }, + { + "left": "issue:10954", + "right": "issue:11648", + "accept": false, + "reason": "One is a specific LoRA loading failure, the other is a general how-to question about LoRA weights with fp8 transformer models." + }, + { + "left": "issue:8503", + "right": "issue:8649", + "accept": false, + "reason": "Different SD3 issues: gradient checkpointing crash vs num_images_per_prompt behavior/error." + }, + { + "left": "issue:7146", + "right": "issue:7311", + "accept": false, + "reason": "OOM during SDXL fine-tuning is unrelated to checkpoint saving failure." + }, + { + "left": "issue:1604", + "right": "issue:3984", + "accept": false, + "reason": "Different failure modes and code paths; not the same bug." + }, + { + "left": "issue:4183", + "right": "issue:4835", + "accept": false, + "reason": "Different ControlNet bugs: guidance_scale edge case vs MultiControlNetModel in img2img." + }, + { + "left": "issue:3564", + "right": "issue:3569", + "accept": true, + "reason": "Same Uni-ControlNet feature request; one is the umbrella support request and the other is the specific new-pipeline request." + }, + { + "left": "issue:7223", + "right": "issue:9873", + "accept": false, + "reason": "Different pipeline/model additions (Latte video generation vs OmniGen image generation)." + }, + { + "left": "issue:3177", + "right": "issue:3296", + "accept": false, + "reason": "Both involve DreamBooth, but one is DeepSpeed offloading and the other is checkpoint save/load with text encoder." + }, + { + "left": "issue:4303", + "right": "issue:4488", + "accept": false, + "reason": "Different loading problems: Flax SDXL crash vs original-ckpt SDXL conversion without pipeline_class." + }, + { + "left": "issue:9051", + "right": "issue:9092", + "accept": false, + "reason": "Related to Flux, but one is batch inference support and the other is missing model_index.json on load." + }, + { + "left": "issue:1005", + "right": "issue:861", + "accept": false, + "reason": "Different conversion/loading contexts and different underlying errors." + }, + { + "left": "issue:2210", + "right": "issue:3418", + "accept": true, + "reason": "Same underlying change: enabling LoRA training for the text encoder / adding text-encoder handling to the LoRA training script." + }, + { + "left": "issue:6243", + "right": "issue:8790", + "accept": false, + "reason": "Both mention IP-Adapter, but these are not the same concrete bug or change." + }, + { + "left": "issue:2548", + "right": "issue:6130", + "accept": false, + "reason": "Saving LoRA checkpoints and loading LoRA weights are different failure modes." + }, + { + "left": "issue:5432", + "right": "issue:6666", + "accept": true, + "reason": "Same symptom class: validation images coming out blank/black during LoRA training validation." + }, + { + "left": "issue:2068", + "right": "issue:4250", + "accept": false, + "reason": "Generic from_pretrained loading concerns, but not the same concrete bug." + }, + { + "left": "issue:4399", + "right": "issue:4418", + "accept": false, + "reason": "Different pipeline/runtime issues: torch compile plus CPU offload vs SDXL inpaint denoising_start behavior." + }, + { + "left": "issue:9200", + "right": "issue:9527", + "accept": true, + "reason": "Same SDXL ControlNet dtype-mismatch regression, just described from two angles." + }, + { + "left": "issue:1969", + "right": "issue:222", + "accept": false, + "reason": "The runtime errors are too generic and the underlying contexts differ." + }, + { + "left": "issue:6967", + "right": "issue:7138", + "accept": false, + "reason": "Both mention SDXL shape/structure mismatch, but one is a training prior-preservation error and the other is a model-structure complaint." + }, + { + "left": "issue:4724", + "right": "issue:7421", + "accept": false, + "reason": "Different SDXL behaviors: img2img checkpoint compatibility vs seed handling in KDiffusion." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and the accepted pairs are conservative and well supported by the issue titles: Uni-ControlNet support (3564/3569), text-encoder LoRA training (2210/3418), blank/black validation images (5432/6666), and SDXL ControlNet dtype mismatch (9200/9527). The rejected pairs are also framed cautiously as different models, code paths, or symptom classes rather than overclaiming duplicates." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 96, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10139", + "issue:10150", + "issue:10223", + "issue:10453", + "issue:10514", + "issue:11135", + "issue:11223", + "issue:1161", + "issue:11657", + "issue:12009", + "issue:12011", + "issue:12037", + "issue:12108", + "issue:12147", + "issue:12738", + "issue:1524", + "issue:1604", + "issue:2163", + "issue:3235", + "issue:3264", + "issue:3591", + "issue:3661", + "issue:3698", + "issue:3706", + "issue:3728", + "issue:3826", + "issue:3885", + "issue:3933", + "issue:4125", + "issue:4305", + "issue:4724", + "issue:4954", + "issue:5128", + "issue:5226", + "issue:5544", + "issue:5617", + "issue:5753", + "issue:579", + "issue:6183", + "issue:6368", + "issue:6686", + "issue:672", + "issue:6866", + "issue:6935", + "issue:8609", + "issue:8649", + "issue:8817", + "issue:9576" + ], + "soft_pairs": [ + "issue:10150|issue:10223", + "issue:3933|issue:4305", + "issue:11223|issue:12011", + "issue:4724|issue:6368", + "issue:5617|issue:6686", + "issue:4954|issue:579", + "issue:3235|issue:3661", + "issue:8609|issue:8817", + "issue:12009|issue:12147", + "issue:2163|issue:3885", + "issue:10453|issue:12738", + "issue:5544|issue:8649", + "issue:10139|issue:10514", + "issue:11657|issue:12037", + "issue:5128|issue:6183", + "issue:3264|issue:672", + "issue:3706|issue:3826", + "issue:3591|issue:4125", + "issue:12108|issue:9576", + "issue:11135|issue:3728", + "issue:1161|issue:3698", + "issue:1524|issue:1604", + "issue:5226|issue:5753", + "issue:6866|issue:6935" + ], + "prepared_review_unit_hash": "d6769d20e0a2a0980fdb5dfb4e19af236bc20cc8c93dd83bba37205c0c9b5543", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33966, + "estimated_input_tokens": 8492, + "estimated_eval_tokens": 17240 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly distinct issues grouped by theme. The strongest duplicate-like match is the torch.compile graph-break regression (#3933/#4305); the SDXL from_single_file items are related but not close enough to merge confidently.", + "confidence": 0.81, + "canonical_issue_reason": "Issue #3933 is the most concrete bug report and has the clearest same-bug signal with #4305, which describes the same torch.compile graph-break regression in a different phrasing.", + "canonical_pr_reason": null, + "best_issue_reason": "#3933 is the best representative because it names a specific, fixable code-path regression rather than a broad symptom or request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10150", + "right": "issue:10223", + "accept": false, + "reason": "SDXL slowness/inference performance vs. a question about obtaining a LoRA identifier; different problems." + }, + { + "left": "issue:3933", + "right": "issue:4305", + "accept": true, + "reason": "Both point to the same torch.compile graph-break issue, with #4305 appearing to be the same regression under a release-specific framing." + }, + { + "left": "issue:11223", + "right": "issue:12011", + "accept": false, + "reason": "Both mention OOM, but the affected Wan paths and failure contexts differ enough to treat as separate issues." + }, + { + "left": "issue:4724", + "right": "issue:6368", + "accept": false, + "reason": "Both are SDXL loading-related, but one is expected-behavior/usage confusion and the other is a specific single-file shape error." + }, + { + "left": "issue:5617", + "right": "issue:6686", + "accept": false, + "reason": "Compiled pipeline save/load problems, but one is load failure after save_pretrained and the other is a performance regression after save/load." + }, + { + "left": "issue:4954", + "right": "issue:579", + "accept": false, + "reason": "Different Textual Inversion failures: pickle deserialization vs. missing config.json." + }, + { + "left": "issue:3235", + "right": "issue:3661", + "accept": false, + "reason": "Different conversion/loading paths with different model types and failure modes." + }, + { + "left": "issue:8609", + "right": "issue:8817", + "accept": false, + "reason": "Both involve IP-Adapter, but one is custom pipeline integration and the other is a faceid usage issue." + }, + { + "left": "issue:12009", + "right": "issue:12147", + "accept": false, + "reason": "Different Wan bugs: GGUF single-file loading/meta-tensor failure vs. Lightning LoRA loading failure." + }, + { + "left": "issue:2163", + "right": "issue:3885", + "accept": false, + "reason": "Unrelated training dtype mismatch vs. a VRAM-reduction question." + }, + { + "left": "issue:10453", + "right": "issue:12738", + "accept": false, + "reason": "Both are batch-size>1 failures, but they affect different pipelines and appear to be separate assertions/limitations." + }, + { + "left": "issue:5544", + "right": "issue:8649", + "accept": false, + "reason": "Different regressions: FreeU disable error vs. num_images_per_prompt not being honored in SD3." + }, + { + "left": "issue:10139", + "right": "issue:10514", + "accept": false, + "reason": "Both mention sample_size, but one is about pipeline init and the other is a Sana resolution-binning limitation." + }, + { + "left": "issue:11657", + "right": "issue:12037", + "accept": false, + "reason": "Both are Wan LoRA-related, but one is a no-effect key-prefix bug and the other is distilled-LoRA compatibility." + }, + { + "left": "issue:5128", + "right": "issue:6183", + "accept": false, + "reason": "Both are SDXL from_single_file issues, but the symptoms differ too much to safely merge without stronger evidence." + }, + { + "left": "issue:3264", + "right": "issue:672", + "accept": false, + "reason": "Opposite conversion directions and different requests." + }, + { + "left": "issue:3706", + "right": "issue:3826", + "accept": false, + "reason": "Completely different new pipeline proposals." + }, + { + "left": "issue:3591", + "right": "issue:4125", + "accept": false, + "reason": "Both mention loss curves, but the training setups and underlying problems are not the same." + }, + { + "left": "issue:12108", + "right": "issue:9576", + "accept": false, + "reason": "Scheduler flow-matching breakage vs. use_safetensors not propagating to submodules." + }, + { + "left": "issue:11135", + "right": "issue:3728", + "accept": false, + "reason": "Different new pipeline proposals with no shared bug or implementation target." + }, + { + "left": "issue:1161", + "right": "issue:3698", + "accept": false, + "reason": "Different conversion tasks: Flax-to-PyTorch vs. inpainting model to diffusers." + }, + { + "left": "issue:1524", + "right": "issue:1604", + "accept": false, + "reason": "Training quality issue vs. a broken example script under a specific version." + }, + { + "left": "issue:5226", + "right": "issue:5753", + "accept": false, + "reason": "Both are load_lora_weights problems, but they affect different SDXL pipelines and likely different code paths." + }, + { + "left": "issue:6866", + "right": "issue:6935", + "accept": false, + "reason": "Different IP-Adapter requests: ControlNet Inpaint support vs. faceid usage." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is partly grounded, but the soft-edge handling is not consistently conservative. In particular, the analyst accepts issue:5128 vs issue:6183 even though the summary says the SDXL from_single_file items are still too different to merge confidently, which is internally inconsistent. The accepted duplicate calls are stronger than the packet supports, since we only have titles/body metadata and no explicit linkage. I\u2019d reject unless those accepted pairs are downgraded or better justified." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 97, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10040", + "issue:10311", + "issue:10475", + "issue:11006", + "issue:11779", + "issue:12108", + "issue:12175", + "issue:1572", + "issue:1616", + "issue:1704", + "issue:1823", + "issue:1866", + "issue:2161", + "issue:2185", + "issue:2774", + "issue:3539", + "issue:3761", + "issue:3788", + "issue:3910", + "issue:4061", + "issue:4186", + "issue:4808", + "issue:5005", + "issue:5128", + "issue:5337", + "issue:6141", + "issue:6354", + "issue:6548", + "issue:6570", + "issue:6823", + "issue:7021", + "issue:7350", + "issue:7982", + "issue:8296", + "issue:8414", + "issue:8588", + "issue:8708", + "issue:8787", + "issue:8826", + "issue:8939", + "issue:9044", + "issue:9112", + "issue:9187", + "issue:9362", + "issue:9619", + "issue:9667", + "issue:9971" + ], + "soft_pairs": [ + "issue:8588|issue:8708", + "issue:8939|issue:9044", + "issue:5005|issue:8296", + "issue:2774|issue:5128", + "issue:1616|issue:3761", + "issue:6570|issue:8826", + "issue:6141|issue:6354", + "issue:6141|issue:9619", + "issue:1572|issue:1866", + "issue:4186|issue:7982", + "issue:6823|issue:7350", + "issue:10040|issue:10475", + "issue:12108|issue:12175", + "issue:10311|issue:7021", + "issue:1704|issue:3539", + "issue:1823|issue:5337", + "issue:11006|issue:11779", + "issue:2161|issue:2185", + "issue:3788|issue:8414", + "issue:3910|issue:4061", + "issue:9112|issue:9362", + "issue:9187|issue:9971", + "issue:4808|issue:6548", + "issue:8787|issue:9667" + ], + "prepared_review_unit_hash": "c4f957751484ecd544cbbd17ef90fddc3c880422dbe255a9ddf3ca990df05e48", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33593, + "estimated_input_tokens": 8399, + "estimated_eval_tokens": 17054 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pair looks like the same underlying bug/change; most are only loosely related by subsystem or wording. The cluster is heterogeneous, so there is no strong canonical duplicate set.", + "confidence": 0.88, + "canonical_issue_reason": "issue:10475 is the closest cluster anchor because it is a concrete SD3 image-quality complaint, but the overall set spans unrelated bugs, feature requests, and pipelines, so it is not a true canonical for the whole cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10475 is the best available issue anchor by specificity and discussion depth, but it only fits the image-quality subset and does not represent the unrelated import/controlnet/training/runtime issues.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8588", + "right": "issue:8708", + "accept": false, + "reason": "Both are SD3/training-related, but one is a missing script/file issue and the other is a missing config field; different underlying fixes." + }, + { + "left": "issue:8939", + "right": "issue:9044", + "accept": false, + "reason": "Different loading failures: tokenizer resolution vs missing diffusion weight file. Same broad theme, not the same bug." + }, + { + "left": "issue:5005", + "right": "issue:8296", + "accept": false, + "reason": "Both concern resume behavior, but one is a progress-bar display issue and the other is global-step bookkeeping/confusion." + }, + { + "left": "issue:2774", + "right": "issue:5128", + "accept": false, + "reason": "Different code paths: ControlNet safetensors conversion vs loading a local single-file XL pipeline checkpoint." + }, + { + "left": "issue:1616", + "right": "issue:3761", + "accept": false, + "reason": "One is an LPW community pipeline compatibility issue; the other is about loading multiple community pipelines in one process." + }, + { + "left": "issue:6570", + "right": "issue:8826", + "accept": false, + "reason": "Unrelated runtime errors: tensor size mismatch in an InstructPix2Pix pipeline vs empty tensor list in torch.cat." + }, + { + "left": "issue:6141", + "right": "issue:6354", + "accept": false, + "reason": "Both are ControlNet feature requests, but control_mode/resize_mode support and LoRA support are distinct changes." + }, + { + "left": "issue:6141", + "right": "issue:9619", + "accept": false, + "reason": "Different ControlNet enhancements: parameter support versus interrupt support; not the same code-path bug." + }, + { + "left": "issue:1572", + "right": "issue:1866", + "accept": false, + "reason": "Both involve Stable Diffusion img2img, but one is a broken mega pipeline for img2img/inpainting and the other is a scheduler-strength interaction bug." + }, + { + "left": "issue:4186", + "right": "issue:7982", + "accept": false, + "reason": "Different pipeline problems: SDXL inpaint/refiner behavior vs from_pipe handling for MultiControlNetModel." + }, + { + "left": "issue:6823", + "right": "issue:7350", + "accept": false, + "reason": "Both mention ControlNet, but one is a general inability to use it and the other is a specific ControlNet-from-UNet-with-LoRA initialization failure." + }, + { + "left": "issue:10040", + "right": "issue:10475", + "accept": false, + "reason": "Both are SD3 image-quality complaints, but one reports grey outputs while the other reports lower-than-validation quality during fine-tuning; not the same bug." + }, + { + "left": "issue:12108", + "right": "issue:12175", + "accept": false, + "reason": "One is a scheduler/flow-matching compatibility break in Qwen Image/Chroma; the other is a general bad-image-quality report." + }, + { + "left": "issue:10311", + "right": "issue:7021", + "accept": false, + "reason": "Both are import errors, but they involve different modules and causes (dreambooth script vs HF_HOME handling)." + }, + { + "left": "issue:1704", + "right": "issue:3539", + "accept": false, + "reason": "These are questions about different APIs, not the same defect or change." + }, + { + "left": "issue:1823", + "right": "issue:5337", + "accept": false, + "reason": "A swapped-comment bug in depth2img is unrelated to a general question about the callback function." + }, + { + "left": "issue:11006", + "right": "issue:11779", + "accept": false, + "reason": "Both are Wan-related, but one is broken I2V video output with a quantized transformer and the other is incorrect mask padding in VACE; different fixes." + }, + { + "left": "issue:2161", + "right": "issue:2185", + "accept": false, + "reason": "Different training setup problems: LoRA on inpainting vs missing config files for naive text-to-image training." + }, + { + "left": "issue:3788", + "right": "issue:8414", + "accept": false, + "reason": "Both are new model/pipeline proposals, but they are entirely different features and not duplicates." + }, + { + "left": "issue:3910", + "right": "issue:4061", + "accept": false, + "reason": "Both concern LoRA loading, but one is a broad 'certain LoRA will not load' report and the other is an SDXL-specific load error." + }, + { + "left": "issue:9112", + "right": "issue:9362", + "accept": false, + "reason": "Different inference failures: a tensor dimension mismatch vs an index-out-of-bounds error." + }, + { + "left": "issue:9187", + "right": "issue:9971", + "accept": false, + "reason": "Completely different subsystems: IP-Adapter/SDXL with Kolors changes versus FLUX scheduler behavior." + }, + { + "left": "issue:4808", + "right": "issue:6548", + "accept": false, + "reason": "Both are img2img-related, but one is a SHAP-E integration test failure and the other is an RGBA latent-handling bug." + }, + { + "left": "issue:8787", + "right": "issue:9667", + "accept": false, + "reason": "Slow model loading is not the same as a FLUX fp8 local file loading error." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 98, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10150", + "issue:10512", + "issue:10722", + "issue:10760", + "issue:10782", + "issue:10863", + "issue:1109", + "issue:11136", + "issue:11182", + "issue:11221", + "issue:11374", + "issue:12126", + "issue:12505", + "issue:13053", + "issue:1475", + "issue:2250", + "issue:2437", + "issue:2856", + "issue:2984", + "issue:3250", + "issue:3454", + "issue:3672", + "issue:3891", + "issue:4185", + "issue:4250", + "issue:4307", + "issue:4324", + "issue:4446", + "issue:4727", + "issue:4888", + "issue:5442", + "issue:5455", + "issue:579", + "issue:5821", + "issue:6371", + "issue:6666", + "issue:6689", + "issue:7185", + "issue:7420", + "issue:7516", + "issue:7708", + "issue:834", + "issue:8894", + "issue:8939", + "issue:9108", + "issue:9343", + "issue:9415", + "issue:9667" + ], + "soft_pairs": [ + "issue:3454|issue:4324", + "issue:1475|issue:579", + "issue:10782|issue:7185", + "issue:2437|issue:3891", + "issue:2250|issue:3672", + "issue:11136|issue:12126", + "issue:5455|issue:6371", + "issue:10722|issue:11221", + "issue:8894|issue:9415", + "issue:4446|issue:7420", + "issue:11374|issue:13053", + "issue:7708|issue:8939", + "issue:3250|issue:5821", + "issue:4250|issue:4888", + "issue:10863|issue:9667", + "issue:11182|issue:9343", + "issue:10512|issue:9108", + "issue:4185|issue:6666", + "issue:2856|issue:6689", + "issue:4307|issue:4727", + "issue:10760|issue:7516", + "issue:1109|issue:834", + "issue:10150|issue:12505", + "issue:2984|issue:5442" + ], + "prepared_review_unit_hash": "342bab4da482538a21459ad4fa01a081eb3ab12a7928d6ef78bdbc8da71e1cf5", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33867, + "estimated_input_tokens": 8467, + "estimated_eval_tokens": 17190 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pair looks like a true duplicate or same-change match. The suggestions are mostly title-level similarity across different pipelines, training bugs, loading issues, and feature requests, but the underlying problems are distinct.", + "confidence": 0.93, + "canonical_issue_reason": "issue:10150 is the broadest, most umbrella-style report in the set (SDXL loading/inference performance), so it is the closest thing to a generic anchor if a canonical issue must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10150 is the best overall issue candidate because it is the most general and most likely to represent a reusable triage anchor; the rest are narrower, unrelated bugs or feature requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3454", + "right": "issue:4324", + "accept": false, + "reason": "Both are training/runtime failures, but one is a DreamBooth script regression and the other is a UNet forward TypeError; different failure modes and code paths." + }, + { + "left": "issue:1475", + "right": "issue:579", + "accept": false, + "reason": "Both involve training workflows, but one is about mixed class images in DreamBooth/textual inversion and the other is a missing config.json for textual inversion; not the same bug." + }, + { + "left": "issue:10782", + "right": "issue:7185", + "accept": false, + "reason": "Lumina Image minor issue vs PyTorch 2.2 support question; unrelated topics with no shared concrete failure." + }, + { + "left": "issue:2437", + "right": "issue:3891", + "accept": false, + "reason": "A request to add T2I-Adapter pipeline and a request to add Tortoise TTS are different feature additions, not one underlying change." + }, + { + "left": "issue:2250", + "right": "issue:3672", + "accept": false, + "reason": "Both concern inference, but one is DreamBooth prompt generation failing and the other is a concurrency/threading failure in StableDiffusionPipeline; distinct bugs." + }, + { + "left": "issue:11136", + "right": "issue:12126", + "accept": false, + "reason": "SanaSprint intermediate timestep support and wan2.2 cache_context error are different pipeline-specific runtime issues." + }, + { + "left": "issue:5455", + "right": "issue:6371", + "accept": false, + "reason": "Dreambooth+lora notebook subprocess failure vs controlnet_xs assert error; same general area, but not the same underlying bug." + }, + { + "left": "issue:10722", + "right": "issue:11221", + "accept": false, + "reason": "DreamBooth prior-preservation tensor mismatch and autoencoderkl non-convergence are different training problems with different symptoms and fixes." + }, + { + "left": "issue:8894", + "right": "issue:9415", + "accept": false, + "reason": "train_cm_ct_unconditional.py regression and CogVideoXTransformer3DModel parameter handling are unrelated training/model-API issues." + }, + { + "left": "issue:4446", + "right": "issue:7420", + "accept": false, + "reason": "Custom text encoder support in from_single_file and torch.compile usability are different loading/compile topics, not the same defect." + }, + { + "left": "issue:11374", + "right": "issue:13053", + "accept": false, + "reason": "SkyReels-V2 support request and Unipic 3.0 support request are separate feature requests for different models." + }, + { + "left": "issue:7708", + "right": "issue:8939", + "accept": false, + "reason": "Missing tokenizer/config for SDXL base and unable to load tokenizer for SD3 medium are different model-loading failures." + }, + { + "left": "issue:3250", + "right": "issue:5821", + "accept": false, + "reason": "StableDiffusionKDiffusionPipeline runtime issue and CUDA backward/training error are not the same code path or bug." + }, + { + "left": "issue:4250", + "right": "issue:4888", + "accept": false, + "reason": "Incorrect from_pretrained loading and offline safetensors loading are both loading-related, but the reports describe different behavior and likely different fixes." + }, + { + "left": "issue:10863", + "right": "issue:9667", + "accept": false, + "reason": "Loading local safetensors files vs loading a flux fp8 model with a local transformer file are different model-loading problems." + }, + { + "left": "issue:11182", + "right": "issue:9343", + "accept": false, + "reason": "Unnecessary BF16 variant download and FLUX low_cpu_mem_usage/ignore_mismatched_sizes loading error are distinct loading bugs." + }, + { + "left": "issue:10512", + "right": "issue:9108", + "accept": false, + "reason": "Quanto Flux LoRA load failure and resume-training with quantized base model are different quantization-related issues with different workflows." + }, + { + "left": "issue:4185", + "right": "issue:6666", + "accept": false, + "reason": "ControlNet SDXL black images and black validation images are superficially similar, but one is inference output corruption and the other is validation-time image generation; not enough evidence of the same bug." + }, + { + "left": "issue:2856", + "right": "issue:6689", + "accept": false, + "reason": "Converting an SD model to diffusers and converting SSD-1B.safetensors to Diffusers are both conversion topics, but they are not the same concrete failure." + }, + { + "left": "issue:4307", + "right": "issue:4727", + "accept": false, + "reason": "local_files_only loading error and auto pipelines breaking under local_files_only are related, but one is a specific from_pretrained error and the other is broader auto-pipeline behavior; not the same exact issue." + }, + { + "left": "issue:10760", + "right": "issue:7516", + "accept": false, + "reason": "Missing OnnxStableDiffusionInpaintPipelineLegacy attribute and missing DepthNormalEstimationPipeline attribute are separate API/export regressions." + }, + { + "left": "issue:1109", + "right": "issue:834", + "accept": false, + "reason": "Both are CPU utilization complaints, but they are generic community questions with no evidence of the same environment, cause, or fix." + }, + { + "left": "issue:10150", + "right": "issue:12505", + "accept": false, + "reason": "SDXL slow loading/inference performance and tgate error on img2img pipelines are unrelated: one is performance, the other is a specific runtime error." + }, + { + "left": "issue:2984", + "right": "issue:5442", + "accept": false, + "reason": "Both are video-generation related, but one is a paper/feature entry for latent video diffusion and the other is a ScaleCrafter pipeline request; different artifacts and intents." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 99, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10636", + "issue:1083", + "issue:10937", + "issue:11046", + "issue:11418", + "issue:11584", + "issue:11661", + "issue:12078", + "issue:12459", + "issue:12728", + "issue:1909", + "issue:2068", + "issue:2083", + "issue:2091", + "issue:2163", + "issue:2321", + "issue:2560", + "issue:3184", + "issue:3235", + "issue:3348", + "issue:3451", + "issue:3564", + "issue:3944", + "issue:4321", + "issue:4974", + "issue:5160", + "issue:5168", + "issue:5466", + "issue:5504", + "issue:5693", + "issue:5917", + "issue:5969", + "issue:6136", + "issue:6176", + "issue:6518", + "issue:6832", + "issue:7049", + "issue:7286", + "issue:7418", + "issue:7770", + "issue:8518", + "issue:8534", + "issue:8557", + "issue:861", + "issue:9223", + "issue:9546", + "issue:9927" + ], + "soft_pairs": [ + "issue:3348|issue:5504", + "issue:10636|issue:7418", + "issue:5693|issue:6176", + "issue:6832|issue:7049", + "issue:1083|issue:4321", + "issue:5466|issue:7770", + "issue:12728|issue:8518", + "issue:2091|issue:3451", + "issue:9546|issue:9927", + "issue:10937|issue:11584", + "issue:11661|issue:12078", + "issue:11046|issue:12459", + "issue:10010|issue:11418", + "issue:3944|issue:5160", + "issue:5969|issue:6136", + "issue:2163|issue:6518", + "issue:4974|issue:861", + "issue:2068|issue:2321", + "issue:1909|issue:2560", + "issue:3564|issue:5168", + "issue:5917|issue:9223", + "issue:8534|issue:8557", + "issue:2083|issue:3184", + "issue:3235|issue:7286" + ], + "prepared_review_unit_hash": "1437da1d939e50163aa202fa28356a79b908c7b3af5f5609035622665ece841f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34194, + "estimated_input_tokens": 8549, + "estimated_eval_tokens": 17354 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set: it mixes many different bugs across Flux examples, LoRA, torch.compile, ONNX, and training scripts. None of the soft pairs look like the same underlying issue, so all should be rejected.", + "confidence": 0.91, + "canonical_issue_reason": "No clear cluster-wide canonical: the items span distinct bugs across Flux, LoRA, torch.compile, ONNX, and training examples.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9546 is the strongest single issue: it has a clear, concrete Flux Control training validation OOM failure and is more actionable than the other items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3348", + "right": "issue:5504", + "accept": false, + "reason": "Both touch LoRA/xformers, but one is about scale-parameter support and the other about PEFT LoRA failing; different bugs." + }, + { + "left": "issue:10636", + "right": "issue:7418", + "accept": false, + "reason": "Unrelated topics: a bug in value_guided_sampling.py versus a community pipeline bug in pipeline_stable_diffusion_upscale_ldm3d.py." + }, + { + "left": "issue:5693", + "right": "issue:6176", + "accept": false, + "reason": "Both involve VAE/LoRA loading errors, but they describe different code paths and failure modes." + }, + { + "left": "issue:6832", + "right": "issue:7049", + "accept": false, + "reason": "Both are IP-Adapter related, but one is Face ID tuple/shape handling and the other is an unpacking error in the basic example; not the same bug." + }, + { + "left": "issue:1083", + "right": "issue:4321", + "accept": false, + "reason": "Both mention incorrect outputs with FP16/ONNX, but one is a generic FP16 ONNX accuracy issue and the other is black images on DirectML." + }, + { + "left": "issue:5466", + "right": "issue:7770", + "accept": false, + "reason": "Both are loading/shaping problems around LoRA, but one is SDXL img2img LoRA shape mismatch and the other is generic model+LoRA tensor mismatch." + }, + { + "left": "issue:12728", + "right": "issue:8518", + "accept": false, + "reason": "Both are torch.compile/Dynamo issues, but they affect different models (Wan 2.2 vs SD3) and different runtime failures." + }, + { + "left": "issue:2091", + "right": "issue:3451", + "accept": false, + "reason": "Training resume/checkpoint behavior is unrelated to fp16 memory usage in train_text_to_image.py." + }, + { + "left": "issue:9546", + "right": "issue:9927", + "accept": false, + "reason": "Both are training-time failures, but one is Flux Controlnet validation OOM and the other is HeaderTooLarge in SDv3 ControlNet training." + }, + { + "left": "issue:10937", + "right": "issue:11584", + "accept": false, + "reason": "Different failure modes: torch.compile on vae.encode versus compile incompatibility with group offloading on hunyuanvideo_frampack." + }, + { + "left": "issue:11661", + "right": "issue:12078", + "accept": false, + "reason": "Both are Flux-control example issues, but one is a None handling bug in max_train_steps and the other is invalid provided validation input." + }, + { + "left": "issue:11046", + "right": "issue:12459", + "accept": false, + "reason": "Both mention Flux pipelines, but one is a controlnet/inpainting/ip-adapter inference feature/problem and the other is a batch throughput issue in FLUX.1-Kontext-dev." + }, + { + "left": "issue:10010", + "right": "issue:11418", + "accept": false, + "reason": "One is a missing model_index.json / example-not-working issue, the other is about adding an fp8 safetensors file; not the same underlying bug." + }, + { + "left": "issue:3944", + "right": "issue:5160", + "accept": false, + "reason": "LoRA Dreambooth rank customization and Dreambooth/LoRA masking are different training feature requests." + }, + { + "left": "issue:5969", + "right": "issue:6136", + "accept": false, + "reason": "Both involve NaNs, but one is DDIM eta=1 with ZSNR patch and the other is StableDiffusionPipeline on Mac CPU for SD2.1." + }, + { + "left": "issue:2163", + "right": "issue:6518", + "accept": false, + "reason": "Both are training-script errors from None values, but they occur in different scripts and different variables." + }, + { + "left": "issue:4974", + "right": "issue:861", + "accept": false, + "reason": "Both are conversion-related, but one is safetensor-to-diffusers conversion and the other is ckpt-to-diffusers conversion." + }, + { + "left": "issue:2068", + "right": "issue:2321", + "accept": false, + "reason": "Different model handling issues: dtype conversion in from_pretrained versus incorrect EMA weight assignment during inference." + }, + { + "left": "issue:1909", + "right": "issue:2560", + "accept": false, + "reason": "Both involve generators, but one is a generator-list API mismatch and the other is a specific output-determinism bug in Img2Img." + }, + { + "left": "issue:3564", + "right": "issue:5168", + "accept": false, + "reason": "Uni-ControlNet support and ControlNet-XS support are separate feature requests, not the same change." + }, + { + "left": "issue:5917", + "right": "issue:9223", + "accept": false, + "reason": "Checkpoint conversion failure after upgrading diffusers is unrelated to dependency version conflicts between pyarrow, cudf, ibis, and datasets." + }, + { + "left": "issue:8534", + "right": "issue:8557", + "accept": false, + "reason": "Both are SD3 training issues, but one is logit-normal weighting and the other is token limit behavior; different bugs." + }, + { + "left": "issue:2083", + "right": "issue:3184", + "accept": false, + "reason": "Both mention generator-list problems, but one is DDIMScheduler eta>0 support and the other is a community pipeline generator-list incompatibility." + }, + { + "left": "issue:3235", + "right": "issue:7286", + "accept": false, + "reason": "Both concern loading/custom weights, but custom diffusion biases failing to load is different from cross-attention weight loading with AttendAndExcite." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 100, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10055", + "issue:10057", + "issue:10191", + "issue:10412", + "issue:10782", + "issue:1083", + "issue:10932", + "issue:1099", + "issue:11024", + "issue:11247", + "issue:11584", + "issue:12459", + "issue:12666", + "issue:12738", + "issue:1363", + "issue:1475", + "issue:1524", + "issue:1539", + "issue:1543", + "issue:2081", + "issue:2321", + "issue:2371", + "issue:2991", + "issue:3101", + "issue:3279", + "issue:3363", + "issue:3405", + "issue:3799", + "issue:4402", + "issue:4724", + "issue:4790", + "issue:5224", + "issue:5529", + "issue:5621", + "issue:5737", + "issue:5972", + "issue:6258", + "issue:6283", + "issue:6791", + "issue:7003", + "issue:7168", + "issue:7400", + "issue:7770", + "issue:817", + "issue:9637", + "issue:9717", + "issue:9856", + "issue:9911" + ], + "soft_pairs": [ + "issue:4790|issue:5737", + "issue:10057|issue:11024", + "issue:12459|issue:12738", + "issue:2371|issue:817", + "issue:1524|issue:1543", + "issue:1539|issue:3799", + "issue:2321|issue:5621", + "issue:2081|issue:5224", + "issue:4402|issue:7168", + "issue:10191|issue:9856", + "issue:2991|issue:3101", + "issue:6258|issue:7400", + "issue:5529|issue:6791", + "issue:9717|issue:9911", + "issue:10782|issue:12666", + "issue:1083|issue:1363", + "issue:11247|issue:9637", + "issue:4724|issue:6283", + "issue:1099|issue:1475", + "issue:7003|issue:7770", + "issue:3279|issue:3363", + "issue:3405|issue:5972", + "issue:10055|issue:10412", + "issue:10932|issue:11584" + ], + "prepared_review_unit_hash": "184a5887eb1eb8082326d8ebfb3c645dc15d33eece6a4a40fa1f8dcdf2dd12f0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34155, + "estimated_input_tokens": 8539, + "estimated_eval_tokens": 17334 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is only loosely related by training/controlnet/Flux-style bug reports. The soft pairs mostly share vocabulary, but they describe different code paths, models, or symptom classes, so none look like true duplicates. No PRs are present.", + "confidence": 0.78, + "canonical_issue_reason": "issue:10055 is the cleanest anchor for the cluster: it is a concrete, high-signal ControlNet training failure with a broad title and substantial discussion, making it the most representative issue among these adjacent training bugs.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10055 is the best overall issue candidate because it is specific enough to identify the underlying problem class, yet broad enough to represent the cluster\u2019s main theme of broken ControlNet training workflows.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4790", + "right": "issue:5737", + "accept": false, + "reason": "Different converter directions and failure modes: one is original->diffusers compatibility, the other is SDXL conversion failing in the opposite script." + }, + { + "left": "issue:10057", + "right": "issue:11024", + "accept": false, + "reason": "Different components: a token handling problem in FluxTransformer2DModel.from_single_file versus SiglipImageProcessor lacking .to() in SD3IPAdapterMixin." + }, + { + "left": "issue:12459", + "right": "issue:12738", + "accept": false, + "reason": "Throughput/performance complaint versus a batch-size assertion failure; different pipelines and different bug classes." + }, + { + "left": "issue:2371", + "right": "issue:817", + "accept": false, + "reason": "Dreambooth output content bug versus mixed-precision training failure; not the same concrete bug." + }, + { + "left": "issue:1524", + "right": "issue:1543", + "accept": false, + "reason": "Poor training quality in textual inversion versus inability to pass revision=fp16; different root causes and symptom types." + }, + { + "left": "issue:1539", + "right": "issue:3799", + "accept": false, + "reason": "Both mention types, but one is a conversion-script typing bug and the other is an incorrect inferred type for a scheduler loader." + }, + { + "left": "issue:2321", + "right": "issue:5621", + "accept": false, + "reason": "Unrelated issues: EMA-weight assignment in inference versus ControlNet encoder_hid_proj support for SDXL." + }, + { + "left": "issue:2081", + "right": "issue:5224", + "accept": false, + "reason": "Both involve conversion/model ecosystems, but one is a PyTorch->JAX conversion inconsistency and the other is a Flax SD2.1 runtime error." + }, + { + "left": "issue:4402", + "right": "issue:7168", + "accept": false, + "reason": "Different APIs and failures: from_single_file misuse versus invalid 4D IP-Adapter embeddings." + }, + { + "left": "issue:10191", + "right": "issue:9856", + "accept": false, + "reason": "Different distributed-training issues: wrong GPU selection versus a launch port collision." + }, + { + "left": "issue:2991", + "right": "issue:3101", + "accept": false, + "reason": "Both are ControlNet training complaints, but one is mixed-precision-specific while the other is a generic training error without evidence of the same code path." + }, + { + "left": "issue:6258", + "right": "issue:7400", + "accept": false, + "reason": "Stable video diffusion symptoms differ: chunking degrades quality versus black outputs; not enough evidence they are the same bug." + }, + { + "left": "issue:5529", + "right": "issue:6791", + "accept": false, + "reason": "Same script family, but one is a specific bug in train_text_to_image_sdxl.py and the other is simply that the script cannot run; insufficient proof of a shared root cause." + }, + { + "left": "issue:9717", + "right": "issue:9911", + "accept": false, + "reason": "Different Flux issues: docker image/runtime error versus multi-ControlNet layer-length handling." + }, + { + "left": "issue:10782", + "right": "issue:12666", + "accept": false, + "reason": "Different model families and problem contexts: Lumina Image 2.0 minor issue versus Kandinsky 5.0 pipeline availability in a specific release." + }, + { + "left": "issue:1083", + "right": "issue:1363", + "accept": false, + "reason": "ONNX FP16 output correctness and an LMS scheduler long-prompt error are unrelated." + }, + { + "left": "issue:11247", + "right": "issue:9637", + "accept": false, + "reason": "Multiple-GPU ControlNet distribution problem versus xFormers attention-mask/bfloat16 sequence-length failure; distinct code paths." + }, + { + "left": "issue:4724", + "right": "issue:6283", + "accept": false, + "reason": "Different SDXL img2img problems with different triggers: base checkpoint behavior versus strength=0 in ControlNet img2img." + }, + { + "left": "issue:1099", + "right": "issue:1475", + "accept": false, + "reason": "No class name in DreamBooth versus training with two image classes; unrelated problems." + }, + { + "left": "issue:7003", + "right": "issue:7770", + "accept": false, + "reason": "Both involve tensor shape mismatches, but in different subsystems: inpaint weight shapes versus model/LoRA loading shape mismatch." + }, + { + "left": "issue:3279", + "right": "issue:3363", + "accept": false, + "reason": "Checkpoint resume errors and cross-machine failure are too vague to treat as the same bug." + }, + { + "left": "issue:3405", + "right": "issue:5972", + "accept": false, + "reason": "ControlNet training bug versus documentation about Min-SNR weighting; docs and runtime behavior are different." + }, + { + "left": "issue:10055", + "right": "issue:10412", + "accept": false, + "reason": "Both are SD3-related training reports, but one is a broken ControlNet training script and the other is extreme VRAM usage in DreamBooth." + }, + { + "left": "issue:10932", + "right": "issue:11584", + "accept": false, + "reason": "Both mention torch.compile and HunyuanVideo, but the failure mechanisms differ: recompile-limit exhaustion versus incompatibility with group offloading." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 101, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10178", + "issue:10382", + "issue:10782", + "issue:1100", + "issue:11222", + "issue:11674", + "issue:12195", + "issue:1543", + "issue:1695", + "issue:1734", + "issue:2053", + "issue:2784", + "issue:2988", + "issue:3480", + "issue:4073", + "issue:4086", + "issue:4217", + "issue:4303", + "issue:4389", + "issue:4427", + "issue:4686", + "issue:4697", + "issue:4876", + "issue:4993", + "issue:5128", + "issue:5577", + "issue:5687", + "issue:5894", + "issue:5932", + "issue:6096", + "issue:6283", + "issue:660", + "issue:6879", + "issue:6880", + "issue:7159", + "issue:7243", + "issue:7660", + "issue:7982", + "issue:8604", + "issue:8832", + "issue:9012", + "issue:9045", + "issue:9106", + "issue:9112", + "issue:9496", + "issue:9525", + "issue:9803", + "issue:9895" + ], + "soft_pairs": [ + "issue:11222|issue:11674", + "issue:4217|issue:5128", + "issue:4686|issue:4697", + "issue:9045|issue:9895", + "issue:2988|issue:4303", + "issue:3480|issue:4876", + "issue:6879|issue:6880", + "issue:4427|issue:7660", + "issue:1100|issue:4073", + "issue:1543|issue:660", + "issue:1695|issue:1734", + "issue:9525|issue:9803", + "issue:9012|issue:9496", + "issue:4086|issue:7982", + "issue:2053|issue:4993", + "issue:5687|issue:6283", + "issue:6096|issue:7159", + "issue:10382|issue:8604", + "issue:8832|issue:9106", + "issue:10178|issue:9112", + "issue:10782|issue:12195", + "issue:5894|issue:5932", + "issue:4389|issue:5577", + "issue:2784|issue:7243" + ], + "prepared_review_unit_hash": "b589a98260f60d46c2f68f4cb802f136002248d7e1f169a51e0598252acf8783", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33922, + "estimated_input_tokens": 8481, + "estimated_eval_tokens": 17218 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose collection of unrelated issue reports and feature requests across many different pipelines/models. There is no credible duplicate core, so all soft-edge pairs should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out: the items span unrelated bugs/features (UNet shape mismatch, Flux LoRA/device issues, ControlNet/SD3 errors, training requests, etc.), so they do not form one duplicate set.", + "canonical_pr_reason": "There are no pull requests in the cluster.", + "best_issue_reason": "No global best issue for deduplication: none of the issues is clearly representative of the others, and the set is too heterogeneous to collapse into one canonical bug.", + "best_pr_reason": "No pull requests are present, so there is no PR candidate to rank.", + "soft_edge_verdicts": [ + { + "left": "issue:11222", + "right": "issue:11674", + "accept": false, + "reason": "Different feature requests in the WAN family: more LoRAs vs ref image/multiple control videos. Not the same change." + }, + { + "left": "issue:4217", + "right": "issue:5128", + "accept": false, + "reason": "Both mention loading, but one is slow safetensors loading and the other is a local single-file load error. Different problems." + }, + { + "left": "issue:4686", + "right": "issue:4697", + "accept": false, + "reason": "Both are load failures, but one is about an UpscalePipeline from_pretrained and the other a specific LoRA after an update. Not the same bug." + }, + { + "left": "issue:9045", + "right": "issue:9895", + "accept": false, + "reason": "Both involve Flux/device behavior, but one is accelerate+peft CUDA transfer and the other is a commit-specific cpu/cuda inference mismatch. Different code paths." + }, + { + "left": "issue:2988", + "right": "issue:4303", + "accept": false, + "reason": "Scheduler step-count crash is unrelated to Flax SDXL loading crash." + }, + { + "left": "issue:3480", + "right": "issue:4876", + "accept": false, + "reason": "Both concern LoRA layers, but one requests a scale parameter and the other a std argument. Different API changes." + }, + { + "left": "issue:6879", + "right": "issue:6880", + "accept": false, + "reason": "Same Custom Diffusion area, but one is a dtype mismatch during training and the other is a retrieve.py issue. Not the same bug." + }, + { + "left": "issue:4427", + "right": "issue:7660", + "accept": false, + "reason": "Both are examples not working, but they are different examples in different contexts. Too vague to merge." + }, + { + "left": "issue:1100", + "right": "issue:4073", + "accept": false, + "reason": "Both are attribute/type errors, but one is CLIPTextTransformer.device and the other is Tensor.astype in DeepFloyd IF safety checker. Different root causes." + }, + { + "left": "issue:1543", + "right": "issue:660", + "accept": false, + "reason": "Both involve revision=\"fp16\", but one is inability to set revision fp16 and the other is MPS float16 runtime behavior. Not the same issue." + }, + { + "left": "issue:1695", + "right": "issue:1734", + "accept": false, + "reason": "Both mention multi-GPU dreambooth training, but one is a support request and the other is a slowdown complaint. Not a duplicate bug." + }, + { + "left": "issue:9525", + "right": "issue:9803", + "accept": false, + "reason": "Both are Flux LoRA related, but one is lora_scale being ignored and the other is a broader loading failure. Not clearly the same fix." + }, + { + "left": "issue:9012", + "right": "issue:9496", + "accept": false, + "reason": "Both are ControlNet/SD3 related, but one is a from_transformer weight-loading error and the other is a forward-function error. Different failure points." + }, + { + "left": "issue:4086", + "right": "issue:7982", + "accept": false, + "reason": "ControlNet training on SDXL and from_pipe with MultiControlNetModel are different issues in different workflows." + }, + { + "left": "issue:2053", + "right": "issue:4993", + "accept": false, + "reason": "VRAM regression and missing _import_structure export are unrelated." + }, + { + "left": "issue:5687", + "right": "issue:6283", + "accept": false, + "reason": "Both involve timestep/strength edge cases, but one is Karras sigma duplicate timesteps in Img2Img and the other is SDXL ControlNet Img2Img strength=0 behavior. Not the same concrete bug." + }, + { + "left": "issue:6096", + "right": "issue:7159", + "accept": false, + "reason": "Both mention torch.compile, but SVD DynamicOutputShapeException and LoRA-fused compile failure are different code paths." + }, + { + "left": "issue:10382", + "right": "issue:8604", + "accept": false, + "reason": "Both touch autoencoder/text-encoder dtype or return types, but one is VAE forward return type mismatch and the other is T5 float16 corruption. Different models and failures." + }, + { + "left": "issue:8832", + "right": "issue:9106", + "accept": false, + "reason": "Generic crash on pipe(prompt).images[0] is not the same as PixArt-alpha time_step=1 attribute error." + }, + { + "left": "issue:10178", + "right": "issue:9112", + "accept": false, + "reason": "UNet 3D block dimension mismatch is unrelated to Auraflow tensor-size mismatch." + }, + { + "left": "issue:10782", + "right": "issue:12195", + "accept": false, + "reason": "Both are model/runtime bugs, but Lumina Image 2.0 minor issue and a Torch 2.3.1 custom_op regression are different problems." + }, + { + "left": "issue:5894", + "right": "issue:5932", + "accept": false, + "reason": "Buffer size error and channel mismatch error are distinct runtime failures." + }, + { + "left": "issue:4389", + "right": "issue:5577", + "accept": false, + "reason": "ControlNet loading error and ControlNet from_single_file KeyError are related only broadly; they are different load paths and errors." + }, + { + "left": "issue:2784", + "right": "issue:7243", + "accept": false, + "reason": "Dreambooth support request for text2video and ResAdapter feature request are unrelated feature asks." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 102, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10150", + "issue:10334", + "issue:10674", + "issue:1076", + "issue:10914", + "issue:11827", + "issue:12082", + "issue:12459", + "issue:12529", + "issue:2364", + "issue:2554", + "issue:3064", + "issue:3174", + "issue:3191", + "issue:3450", + "issue:3694", + "issue:3803", + "issue:3805", + "issue:4043", + "issue:4186", + "issue:4305", + "issue:4476", + "issue:4542", + "issue:4724", + "issue:4788", + "issue:4852", + "issue:4975", + "issue:5259", + "issue:5314", + "issue:5474", + "issue:5575", + "issue:5606", + "issue:5630", + "issue:5997", + "issue:6130", + "issue:6201", + "issue:6333", + "issue:6372", + "issue:7142", + "issue:7263", + "issue:7420", + "issue:7722", + "issue:7785", + "issue:7982", + "issue:8472", + "issue:9484", + "issue:9763" + ], + "soft_pairs": [ + "issue:4043|issue:6201", + "issue:3803|issue:5575", + "issue:10334|issue:10914", + "issue:10674|issue:7982", + "issue:2364|issue:3805", + "issue:4305|issue:7420", + "issue:4186|issue:4788", + "issue:9484|issue:9763", + "issue:11827|issue:12459", + "issue:12082|issue:12529", + "issue:3694|issue:5259", + "issue:2554|issue:3450", + "issue:7263|issue:7722", + "issue:6333|issue:8472", + "issue:10150|issue:7785", + "issue:3174|issue:3191", + "issue:5314|issue:6372", + "issue:5630|issue:7142", + "issue:4476|issue:5997", + "issue:4852|issue:4975", + "issue:3174|issue:5606", + "issue:1076|issue:5474", + "issue:3064|issue:6130", + "issue:4542|issue:4724" + ], + "prepared_review_unit_hash": "75ada622a0890ea0f83f612a825e50ad596c293491a17992c32f661041c62174", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33194, + "estimated_input_tokens": 8299, + "estimated_eval_tokens": 16854 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous. The only clear near-duplicate is the LoRA + DreamBooth loading pair; the rest are broad same-subsystem similarities but not the same concrete bug/change.", + "confidence": 0.59, + "canonical_issue_reason": "issue:3174 is the most specific representative of the only clear duplicate pair, and it names the likely root cause: LoRA feature changes breaking DreamBooth+LoRA loading.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3174 is the best cluster representative because it most directly captures the shared bug in the one accepted duplicate group.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4043", + "right": "issue:6201", + "accept": false, + "reason": "Both involve prompt embedding handling, but they appear to hit different pipelines and different failure modes." + }, + { + "left": "issue:3803", + "right": "issue:5575", + "accept": false, + "reason": "Multi-GPU LoRA training is unrelated to a LoRA hidden-size configuration question." + }, + { + "left": "issue:10334", + "right": "issue:10914", + "accept": false, + "reason": "Both are device/memory related, but one is MPS/NaN rendering and the other is unintended CPU offload." + }, + { + "left": "issue:10674", + "right": "issue:7982", + "accept": false, + "reason": "GGUF loading failure and from_pipe/MultiControlNetModel are different code paths and bugs." + }, + { + "left": "issue:2364", + "right": "issue:3805", + "accept": false, + "reason": "Generic training-script failure and Colab CalledProcessError are too vague and likely different causes." + }, + { + "left": "issue:4305", + "right": "issue:7420", + "accept": false, + "reason": "Both mention torch.compile, but one is a specific graph-break regression and the other is a broader compile failure." + }, + { + "left": "issue:4186", + "right": "issue:4788", + "accept": false, + "reason": "Inpaint+refiner behavior and VRAM OOM are different symptoms." + }, + { + "left": "issue:9484", + "right": "issue:9763", + "accept": false, + "reason": "Multi-GPU DreamBooth training and token truncation in Flux ControlNet training are unrelated." + }, + { + "left": "issue:11827", + "right": "issue:12459", + "accept": false, + "reason": "A safetensors deserialization error is not the same as a batch inference throughput issue." + }, + { + "left": "issue:12082", + "right": "issue:12529", + "accept": false, + "reason": "Higher compile-time VAE memory usage and a tensor-size mismatch are different failures." + }, + { + "left": "issue:3694", + "right": "issue:5259", + "accept": false, + "reason": "Both mention missing model_index.json, but the contexts differ enough that they do not clearly describe the same underlying bug." + }, + { + "left": "issue:2554", + "right": "issue:3450", + "accept": false, + "reason": "An accelerate version requirement issue is distinct from a from_ckpt dev-version loading problem." + }, + { + "left": "issue:7263", + "right": "issue:7722", + "accept": false, + "reason": "IP Adapter plus attention slicing is different from the Animatediff ControlNet + IPAdapter error." + }, + { + "left": "issue:6333", + "right": "issue:8472", + "accept": false, + "reason": "These are both LoRA-related questions, not the same concrete bug or change." + }, + { + "left": "issue:10150", + "right": "issue:7785", + "accept": false, + "reason": "Both are performance complaints, but one is SDXL loading/inference in general and the other is slow first inference on diffusers 0.27.x." + }, + { + "left": "issue:3174", + "right": "issue:3191", + "accept": true, + "reason": "These describe the same underlying LoRA+DreamBooth loading breakage after LoRA feature changes." + }, + { + "left": "issue:5314", + "right": "issue:6372", + "accept": false, + "reason": "A ControlNet SDXL tutorial error and an SVD+ControlNet pipeline request/error are different topics." + }, + { + "left": "issue:5630", + "right": "issue:7142", + "accept": false, + "reason": "Left is an LMS scheduler artifact in SDXL Img2Img; right is an SDXL-lightning output mismatch." + }, + { + "left": "issue:4476", + "right": "issue:5997", + "accept": false, + "reason": "ControlNet fill50k results and a tutorial type-mismatch error are different issues." + }, + { + "left": "issue:4852", + "right": "issue:4975", + "accept": false, + "reason": "A LoRA loading error is not the same as a LoRA-loading performance inefficiency." + }, + { + "left": "issue:3174", + "right": "issue:5606", + "accept": false, + "reason": "Both involve LoRA loading, but no-alpha handling is a different concrete bug from DreamBooth+LoRA loading breakage." + }, + { + "left": "issue:1076", + "right": "issue:5474", + "accept": false, + "reason": "These are entirely different Stable Diffusion model/pipeline topics." + }, + { + "left": "issue:3064", + "right": "issue:6130", + "accept": false, + "reason": "Both are generic LoRA load failures, but the available titles do not show the same specific root cause." + }, + { + "left": "issue:4542", + "right": "issue:4724", + "accept": false, + "reason": "Same pipeline family, but one is a multi-image limitation and the other is a checkpoint-specific behavior problem." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analyst summary is grounded in the packet and stays conservative on the soft edges. The only accepted duplicate pair is well supported by the titles, and the rejected pairs are not overstated. No mergeability issues apply here." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 103, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10180", + "issue:10511", + "issue:10512", + "issue:10526", + "issue:10533", + "issue:11241", + "issue:11922", + "issue:12011", + "issue:12012", + "issue:1214", + "issue:13008", + "issue:1310", + "issue:13351", + "issue:1392", + "issue:1704", + "issue:1962", + "issue:2988", + "issue:3019", + "issue:3788", + "issue:3824", + "issue:3901", + "issue:4306", + "issue:4888", + "issue:5465", + "issue:5840", + "issue:6069", + "issue:6196", + "issue:6278", + "issue:6407", + "issue:7142", + "issue:7782", + "issue:7785", + "issue:817", + "issue:8233", + "issue:8511", + "issue:8649", + "issue:8874", + "issue:8939", + "issue:9012", + "issue:938", + "issue:9393", + "issue:962", + "issue:9664", + "issue:9729", + "issue:9825", + "issue:9876", + "issue:9927" + ], + "soft_pairs": [ + "issue:11241|issue:9927", + "issue:1310|issue:1962", + "issue:1392|issue:1962", + "issue:10533|issue:11922", + "issue:1214|issue:817", + "issue:1704|issue:3824", + "issue:3019|issue:938", + "issue:4306|issue:8649", + "issue:4888|issue:7782", + "issue:8874|issue:9012", + "issue:10511|issue:9825", + "issue:2988|issue:6069", + "issue:9393|issue:9729", + "issue:10180|issue:9876", + "issue:10512|issue:10526", + "issue:13008|issue:13351", + "issue:3901|issue:6278", + "issue:6196|issue:8233", + "issue:12011|issue:12012", + "issue:8511|issue:8939", + "issue:7142|issue:7785", + "issue:5840|issue:9664", + "issue:3788|issue:6407", + "issue:5465|issue:962" + ], + "prepared_review_unit_hash": "9e1b5dc758dbb9b574b40c3ddbb46cea68c41feb5ab429a5eb325d1ef055ac43", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33550, + "estimated_input_tokens": 8388, + "estimated_eval_tokens": 17032 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: most items are Flux/SD3/Wan/LoRA-related issues, but the soft pairs are only broad topical similarities, not the same concrete bug. None of the soft edges look mergeable as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": "issue:10512 is the clearest representative of the cluster\u2019s main Flux/LoRA theme: it states a concrete loading failure, is specific, and has the strongest discussion signal among the closest matches.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10512 is the best standalone issue to anchor the cluster because it is the most specific and reproducible Flux LoRA loading bug among the candidates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11241", + "right": "issue:9927", + "accept": false, + "reason": "Both are training errors, but one is a floating-point exception in Flux ControlNet training and the other is a HeaderTooLarge error in SDv3 ControlNet training; different failure modes and likely different code paths." + }, + { + "left": "issue:1310", + "right": "issue:1962", + "accept": false, + "reason": "K-Diffusion + Stable Diffusion pipeline is a pipeline integration request, while video generation with stable diffusion is a separate application idea; not the same change." + }, + { + "left": "issue:1392", + "right": "issue:1962", + "accept": false, + "reason": "Stable Diffusion 2 is a model support issue, while video generation with stable diffusion is a feature request for a different use case." + }, + { + "left": "issue:10533", + "right": "issue:11922", + "accept": false, + "reason": "Both mention FLUX fill, but one reports black images in fp16 and the other a general running problem; symptoms and likely fixes differ." + }, + { + "left": "issue:1214", + "right": "issue:817", + "accept": false, + "reason": "Both involve precision, but one is CLIPTextModel half precision and the other is dreambooth mixed precision; too broad and not the same bug." + }, + { + "left": "issue:1704", + "right": "issue:3824", + "accept": false, + "reason": "These are both questions about pipeline internals, but one is about attention blocks and the other about inpaint pipeline classes; unrelated." + }, + { + "left": "issue:3019", + "right": "issue:938", + "accept": false, + "reason": "Text-guided image editing with SAM and Human Motion Diffusion are unrelated feature requests in different domains." + }, + { + "left": "issue:4306", + "right": "issue:8649", + "accept": false, + "reason": "Both are runtime errors, but one is StableDiffusionReferencePipeline list indexing and the other is an SD3 num_images_per_prompt regression; different pipelines and causes." + }, + { + "left": "issue:4888", + "right": "issue:7782", + "accept": false, + "reason": "Offline safetensors loading and safetensors conversion unpickling errors are different file-handling problems." + }, + { + "left": "issue:8874", + "right": "issue:9012", + "accept": false, + "reason": "Both are model-loading failures, but CKPT-from-single-file unpickling and SD3ControlNetModel weight loading are distinct issues." + }, + { + "left": "issue:10511", + "right": "issue:9825", + "accept": false, + "reason": "Scheduler redesign and FLUX IPAdapter support are separate roadmap items; same broad subsystem, but not the same change." + }, + { + "left": "issue:2988", + "right": "issue:6069", + "accept": false, + "reason": "Both are scheduler edge cases, but one is num_training_steps == num_inference_steps and the other is add_noise at t=0; different concrete bugs." + }, + { + "left": "issue:9393", + "right": "issue:9729", + "accept": false, + "reason": "Both are Flux LoRA training save issues, but one is a deepspeed save failure and the other is an unexpected T5EncoderModel save type; too different to merge." + }, + { + "left": "issue:10180", + "right": "issue:9876", + "accept": false, + "reason": "Multiple LoRAs with Flux Control LoRA and VRAM not being released after LoRA training are different lifecycle problems." + }, + { + "left": "issue:10512", + "right": "issue:10526", + "accept": false, + "reason": "Both involve Flux/Quanto, but 10512 is a LoRA load failure while 10526 is a specific FP8 tensor-construction TypeError; not the same bug." + }, + { + "left": "issue:13008", + "right": "issue:13351", + "accept": false, + "reason": "These are different model-family feature requests: FLUX.2-Klein multi-image LoRA training versus Wan 2.2 / Flux.2 Dev ControlNet support." + }, + { + "left": "issue:3901", + "right": "issue:6278", + "accept": false, + "reason": "Missing requirements.txt is a repository/file issue, while multi-GPU training failure is a runtime/training configuration problem." + }, + { + "left": "issue:6196", + "right": "issue:8233", + "accept": false, + "reason": "Both are depth-pipeline issues, but one is ControlNetXS Depth SDXL loading and the other is fp16 execution; different concrete failures." + }, + { + "left": "issue:8511", + "right": "issue:8939", + "accept": false, + "reason": "Unloading text encoders during SD3 Dreambooth/LoRA training and tokenizer loading for SD3 are unrelated." + }, + { + "left": "issue:7142", + "right": "issue:7785", + "accept": false, + "reason": "SDXL-lightning inference mismatch and slow first inference are both performance/quality topics, but not the same bug." + }, + { + "left": "issue:5840", + "right": "issue:9664", + "accept": false, + "reason": "Checkpoint resume freezing in train_dreambooth_lora_sdxl.py and a generic subprocess.CalledProcessError are not the same failure." + }, + { + "left": "issue:3788", + "right": "issue:6407", + "accept": false, + "reason": "UniControl and AnyText are distinct new pipeline requests with different model targets." + }, + { + "left": "issue:5465", + "right": "issue:962", + "accept": false, + "reason": "Both are inpaint-related limitations, but one is DiffEdit inpaint_strength behavior and the other is fixed 512x512 sizing in new inpaint pipelines." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 104, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:1005", + "issue:10512", + "issue:10969", + "issue:11148", + "issue:11824", + "issue:11853", + "issue:12689", + "issue:1643", + "issue:1672", + "issue:1734", + "issue:1774", + "issue:1962", + "issue:2844", + "issue:3250", + "issue:3379", + "issue:350", + "issue:4000", + "issue:4061", + "issue:4086", + "issue:4303", + "issue:4354", + "issue:4410", + "issue:4736", + "issue:5150", + "issue:5436", + "issue:5465", + "issue:5575", + "issue:5693", + "issue:6238", + "issue:6250", + "issue:6323", + "issue:6460", + "issue:6513", + "issue:6540", + "issue:6661", + "issue:7310", + "issue:746", + "issue:7629", + "issue:7770", + "issue:8482", + "issue:8588", + "issue:8726", + "issue:9106", + "issue:9187", + "issue:9270", + "issue:9799" + ], + "soft_pairs": [ + "issue:10026|issue:1734", + "issue:10969|issue:9799", + "issue:1672|issue:4000", + "issue:6238|issue:6250", + "issue:4736|issue:7310", + "issue:3250|issue:6323", + "issue:8588|issue:8726", + "issue:4086|issue:5465", + "issue:2844|issue:4303", + "issue:1774|issue:350", + "issue:3379|issue:746", + "issue:11148|issue:12689", + "issue:5436|issue:6540", + "issue:11853|issue:9187", + "issue:5575|issue:6661", + "issue:4354|issue:5150", + "issue:4061|issue:5693", + "issue:1643|issue:7629", + "issue:1962|issue:6460", + "issue:6513|issue:8482", + "issue:4410|issue:7770", + "issue:10512|issue:9270", + "issue:11824|issue:9106", + "issue:1005|issue:3250" + ], + "prepared_review_unit_hash": "abe576d6b78560ae4a16e8e19e9b7f72ddfad2357e22211cba4e621fb6df7055", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33495, + "estimated_input_tokens": 8374, + "estimated_eval_tokens": 17004 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of loosely related diffusion/LoRA/controlnet support and error reports. Only the two SDXL VAE loading issues look like a plausible duplicate pair; the rest are different bugs or different code paths.", + "confidence": 0.69, + "canonical_issue_reason": "issue:6250 is the most specific, concrete report in the cluster: it names the exact failure mode (KeyError) and the trigger (loading SDXL VAE from a single file), which makes it the best canonical representative for the only likely duplicate pair.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6250 is the best overall issue choice because it is the clearest, most actionable report and directly captures the likely duplicate topic more precisely than the broader SDXL VAE issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10026", + "right": "issue:1734", + "accept": false, + "reason": "Both are multi-GPU training performance/memory complaints, but they describe different symptoms and settings (memory not reduced vs much slower training), so they are not the same concrete bug." + }, + { + "left": "issue:10969", + "right": "issue:9799", + "accept": false, + "reason": "Both involve training/runtime errors, but the actual failures are different tensor/shape errors in different contexts; no clear shared underlying bug." + }, + { + "left": "issue:1672", + "right": "issue:4000", + "accept": false, + "reason": "Both mention ckpt-to-diffusers conversion, but one is about wrong output image size while the other is a general conversion request for SD2; different issues." + }, + { + "left": "issue:6238", + "right": "issue:6250", + "accept": true, + "reason": "Both are about SDXL VAE loading problems, and 6250 is a concrete symptom of the broader SDXL VAE issue described in 6238." + }, + { + "left": "issue:4736", + "right": "issue:7310", + "accept": false, + "reason": "Same training script family, but the reported failures differ substantially (OOM/invalid cast vs defaults not working), so they are not the same bug." + }, + { + "left": "issue:3250", + "right": "issue:6323", + "accept": false, + "reason": "Different pipelines and different failures; these do not look like the same underlying code-path problem." + }, + { + "left": "issue:8588", + "right": "issue:8726", + "accept": false, + "reason": "One is a missing conversion script, the other is text encoder errors in SD3 dreambooth training scripts; related area but not the same bug." + }, + { + "left": "issue:4086", + "right": "issue:5465", + "accept": false, + "reason": "Both are model/pipeline training issues, but they concern different functionality and failure modes; too broad to be duplicates." + }, + { + "left": "issue:2844", + "right": "issue:4303", + "accept": false, + "reason": "These concern different pipelines and different loading/runtime failures, with no clear shared code-path bug." + }, + { + "left": "issue:1774", + "right": "issue:350", + "accept": false, + "reason": "General OOM vs a question about typical UNet memory usage; not the same issue." + }, + { + "left": "issue:3379", + "right": "issue:746", + "accept": false, + "reason": "Both mention loading, but they are unrelated components and errors." + }, + { + "left": "issue:11148", + "right": "issue:12689", + "accept": false, + "reason": "Both involve LoRA/PEFT, but one is about adapter config flags and the other about adapter weights from checkpoints; different defects." + }, + { + "left": "issue:5436", + "right": "issue:6540", + "accept": false, + "reason": "Both are ControlNet training problems, but the specific errors and likely causes are different." + }, + { + "left": "issue:11853", + "right": "issue:9187", + "accept": false, + "reason": "Both mention IP-Adapter/SDXL, but one is a size/load combination issue and the other is an image_encoder_folder=None regression; not the same bug." + }, + { + "left": "issue:5575", + "right": "issue:6661", + "accept": false, + "reason": "A LoRA layer sizing question and an MPS OOM report are unrelated." + }, + { + "left": "issue:4354", + "right": "issue:5150", + "accept": false, + "reason": "Both are from_single_file-related, but they are different pipelines and different behaviors (missing method vs wrong returned type)." + }, + { + "left": "issue:4061", + "right": "issue:5693", + "accept": false, + "reason": "Both are loading errors, but they refer to different model components and no shared failure mode is evident." + }, + { + "left": "issue:1643", + "right": "issue:7629", + "accept": false, + "reason": "These are unrelated issues across different features and versions; no duplicate signal." + }, + { + "left": "issue:1962", + "right": "issue:6460", + "accept": false, + "reason": "Video generation and inpainting loading are unrelated." + }, + { + "left": "issue:6513", + "right": "issue:8482", + "accept": false, + "reason": "One is missing support for a specific T2IAdapter model; the other is support for SD3-medium. Same broad area only, not the same change." + }, + { + "left": "issue:4410", + "right": "issue:7770", + "accept": false, + "reason": "Both mention loading shape mismatches, but they affect different models/paths and the errors are not clearly the same bug." + }, + { + "left": "issue:10512", + "right": "issue:9270", + "accept": false, + "reason": "Both mention Flux LoRA, but one is a specific load failure and the other is a broader support gap; not the same concrete issue." + }, + { + "left": "issue:11824", + "right": "issue:9106", + "accept": false, + "reason": "Completely different pipelines and error types." + }, + { + "left": "issue:1005", + "right": "issue:3250", + "accept": false, + "reason": "An inference-timestep question and a pipeline load failure are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and appropriately conservative. The only accepted duplicate pair, issue:6238 and issue:6250, is a reasonable match based on the SDXL VAE loading titles, and the other pair verdicts do not overclaim beyond the packet evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 105, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10472", + "issue:1060", + "issue:11584", + "issue:11839", + "issue:11864", + "issue:12085", + "issue:12126", + "issue:12147", + "issue:12529", + "issue:12599", + "issue:13258", + "issue:1398", + "issue:2459", + "issue:2596", + "issue:2784", + "issue:3700", + "issue:378", + "issue:4134", + "issue:4446", + "issue:4754", + "issue:4801", + "issue:5256", + "issue:5425", + "issue:5576", + "issue:5605", + "issue:5927", + "issue:6107", + "issue:6283", + "issue:6636", + "issue:671", + "issue:6832", + "issue:6839", + "issue:7306", + "issue:7935", + "issue:7936", + "issue:8495", + "issue:8556", + "issue:8637", + "issue:8790", + "issue:8827", + "issue:8939", + "issue:9167", + "issue:9187", + "issue:9320", + "issue:9410", + "issue:9613", + "issue:9953" + ], + "soft_pairs": [ + "issue:5927|issue:8790", + "issue:8637|issue:9167", + "issue:2596|issue:6636", + "issue:12147|issue:12529", + "issue:8939|issue:9320", + "issue:8495|issue:8556", + "issue:12599|issue:9953", + "issue:378|issue:4754", + "issue:6283|issue:7306", + "issue:1060|issue:671", + "issue:11584|issue:11864", + "issue:7935|issue:7936", + "issue:11839|issue:12085", + "issue:5256|issue:5605", + "issue:12126|issue:13258", + "issue:6832|issue:8827", + "issue:6636|issue:9410", + "issue:6107|issue:9187", + "issue:10472|issue:9613", + "issue:2784|issue:5576", + "issue:4801|issue:5425", + "issue:2459|issue:3700", + "issue:4446|issue:6839", + "issue:1398|issue:4134" + ], + "prepared_review_unit_hash": "eefaf09ddb69ed276a36a24d04b746d733fb94236da4eee4df3f7941a249542a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33920, + "estimated_input_tokens": 8480, + "estimated_eval_tokens": 17216 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose grouping of loading/inference issues across unrelated pipelines and models, so there is no strong duplicate set. The most representative issue is the open config.json loading problem for Stable Diffusion 2.1.", + "confidence": 0.33, + "canonical_issue_reason": "issue:7935 is the best anchor because it is open, clearly about a concrete model-loading failure, and is more representative of the cluster\u2019s dominant theme than the highly specific one-off reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:7935 is the strongest global issue candidate: it is specific enough to be actionable yet broad enough to represent the recurring loading/config-path failures in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5927", + "right": "issue:8790", + "accept": false, + "reason": "Different problems: one is an IP-Adapter/Reference inpaint combo request, the other is SDXL TensorRT + IP Adapter. Same subsystem, not the same concrete bug." + }, + { + "left": "issue:8637", + "right": "issue:9167", + "accept": false, + "reason": "Both are import-related, but they are different missing symbols for different pipelines/classes and not the same underlying defect." + }, + { + "left": "issue:2596", + "right": "issue:6636", + "accept": false, + "reason": "One is a bad docs reference to load_image, the other is an import error for DIFFUSERS_SLOW_IMPORT; unrelated failure modes." + }, + { + "left": "issue:12147", + "right": "issue:12529", + "accept": false, + "reason": "Both mention Wan2.2, but one is Lightning LoRA loading and the other is a tiled VAE tensor-size mismatch; different code paths." + }, + { + "left": "issue:8939", + "right": "issue:9320", + "accept": false, + "reason": "Tokenizer loading for SD3 vs custom diffusion save/load behavior; both are loading-related but not the same bug." + }, + { + "left": "issue:8495", + "right": "issue:8556", + "accept": false, + "reason": "Both concern SD3 loading, but one is tokenizer JSON parsing and the other is a meta-tensor copy failure in from_single_file; distinct issues." + }, + { + "left": "issue:12599", + "right": "issue:9953", + "accept": false, + "reason": "Both involve moving pipelines to CUDA, but one is slow transfer and the other is a hard error with quantized components; not duplicate bug reports." + }, + { + "left": "issue:378", + "right": "issue:4754", + "accept": false, + "reason": "Textual inversion model loading versus missing model_index.json after load; different artifacts and failure points." + }, + { + "left": "issue:6283", + "right": "issue:7306", + "accept": false, + "reason": "Both are pipeline usage errors, but one is ControlNet img2img strength=0 behavior and the other is float16 support in a different pipeline; not the same bug." + }, + { + "left": "issue:1060", + "right": "issue:671", + "accept": false, + "reason": "Both relate to Stable Diffusion conversion/safety-checker behavior, but one is a converter script load failure and the other is model fidelity after conversion." + }, + { + "left": "issue:11584", + "right": "issue:11864", + "accept": false, + "reason": "Both mention torch.compile, but one is incompatibility with group offloading in a video model and the other is an AutoencoderDC fullgraph name resolution error." + }, + { + "left": "issue:7935", + "right": "issue:7936", + "accept": false, + "reason": "Both are loading errors, but one is a missing remote config.json and the other is invalid JSON when loading a local safetensors file." + }, + { + "left": "issue:11839", + "right": "issue:12085", + "accept": false, + "reason": "Both are gguf load errors, but they affect different pipelines/models and different invalid-input conditions." + }, + { + "left": "issue:5256", + "right": "issue:5605", + "accept": false, + "reason": "Training support request vs per-image caption support request; related area, but not the same feature or bug." + }, + { + "left": "issue:12126", + "right": "issue:13258", + "accept": false, + "reason": "Both involve Wan2.2 variants, but one is a cache_context attribute error when swapping transformers and the other is a missing image-to-video pipeline exposure." + }, + { + "left": "issue:6832", + "right": "issue:8827", + "accept": false, + "reason": "Both are IP-Adapter/FaceID-related, but the failures are different: tuple shape handling versus a generic error in usage." + }, + { + "left": "issue:6636", + "right": "issue:9410", + "accept": false, + "reason": "Missing import names for different SD3-related symbols; same release family, but not the same missing export." + }, + { + "left": "issue:6107", + "right": "issue:9187", + "accept": false, + "reason": "Both concern IP-Adapter on different environments/configurations, but one is AWS EC2 deployment and the other is SDXL with image_encoder_folder=None after Kolors update." + }, + { + "left": "issue:10472", + "right": "issue:9613", + "accept": false, + "reason": "Different errors entirely: LoRA loading with unexpected lora_bias argument versus a Timesteps.scale attribute missing in newer diffusers." + }, + { + "left": "issue:2784", + "right": "issue:5576", + "accept": false, + "reason": "Feature request for Dreambooth on text2video models versus request to implement FreeNoise scheduler; same domain, different change." + }, + { + "left": "issue:4801", + "right": "issue:5425", + "accept": false, + "reason": "Both touch training scripts, but one is mixed precision in unconditional training and the other is checkpoint saving compatibility with accelerate/PT 2.1." + }, + { + "left": "issue:2459", + "right": "issue:3700", + "accept": false, + "reason": "Both are train_text_to_image_lora.py related, but one is xformers attention not working and the other is min_snr argument not being usable; separate issues." + }, + { + "left": "issue:4446", + "right": "issue:6839", + "accept": false, + "reason": "Both are single-file/pipeline loading problems, but they concern different pipelines and different limitations." + }, + { + "left": "issue:1398", + "right": "issue:4134", + "accept": false, + "reason": "Both involve MPS/tensor shape issues on Apple Silicon, but one is Stable Diffusion 2 support broadly and the other is a ControlNet pretrained-model tensor mismatch." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 106, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10100", + "issue:1013", + "issue:10139", + "issue:10447", + "issue:1061", + "issue:10639", + "issue:10653", + "issue:10823", + "issue:11232", + "issue:1188", + "issue:12107", + "issue:12157", + "issue:12599", + "issue:1486", + "issue:1823", + "issue:1949", + "issue:2437", + "issue:2466", + "issue:2579", + "issue:2673", + "issue:2800", + "issue:3101", + "issue:3346", + "issue:3487", + "issue:3643", + "issue:3728", + "issue:3802", + "issue:3851", + "issue:4031", + "issue:4109", + "issue:4631", + "issue:5126", + "issue:5128", + "issue:5215", + "issue:5558", + "issue:5607", + "issue:5932", + "issue:6382", + "issue:6858", + "issue:7002", + "issue:7133", + "issue:7197", + "issue:7974", + "issue:9454", + "issue:9576", + "issue:9719" + ], + "soft_pairs": [ + "issue:4031|issue:5128", + "issue:2466|issue:3802", + "issue:10653|issue:12599", + "issue:6382|issue:7974", + "issue:5607|issue:7002", + "issue:3487|issue:5558", + "issue:3101|issue:6858", + "issue:12107|issue:12157", + "issue:3643|issue:4631", + "issue:7133|issue:7197", + "issue:10823|issue:11232", + "issue:5126|issue:5932", + "issue:10010|issue:9454", + "issue:10100|issue:10639", + "issue:1013|issue:4109", + "issue:10139|issue:9576", + "issue:10447|issue:9719", + "issue:1061|issue:1823", + "issue:1188|issue:2437", + "issue:1486|issue:2579", + "issue:1486|issue:3851", + "issue:1949|issue:3346", + "issue:2673|issue:5215", + "issue:2800|issue:3728" + ], + "prepared_review_unit_hash": "43dab3612e18c84bdb7e7268495f4260b4fb4f8c140a6fd460c5ca7fb2fc5d99", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33897, + "estimated_input_tokens": 8475, + "estimated_eval_tokens": 17206 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a loose collection of unrelated Diffusers issues. One likely duplicate pair is the checkpoints_total_limit training-example bug; the rest are only superficially similar and should stay separate.", + "confidence": 0.71, + "canonical_issue_reason": "Issue 2466 is the best anchor for the duplicate cluster because it is the earlier, more discussion-heavy report of the checkpoints_total_limit behavior in training examples.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 2466 is the strongest issue to represent the cluster: it is the clearest report of the underlying training-example checkpoints_total_limit bug and has the most triage signal among the accepted duplicate pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4031", + "right": "issue:5128", + "accept": false, + "reason": "Both involve loading-related failures, but one is about a local safety checker file and the other about XLPipeline.from_single_file with a .safetensors checkpoint; different code paths and bugs." + }, + { + "left": "issue:2466", + "right": "issue:3802", + "accept": true, + "reason": "Same underlying bug: checkpoints_total_limit not being enforced in training examples; the titles and problem descriptions align closely enough to merge." + }, + { + "left": "issue:10653", + "right": "issue:12599", + "accept": false, + "reason": "Both mention device movement, but one is a bitsandbytes 8-bit .to(cpu) limitation on a specific transformer, while the other is a general CUDA load/move slowness issue." + }, + { + "left": "issue:6382", + "right": "issue:7974", + "accept": false, + "reason": "Both mention IP-Adapter, but one is a training-time key error after LCM LoRA distillation and the other is an inpaint+face/style use case; not the same bug." + }, + { + "left": "issue:5607", + "right": "issue:7002", + "accept": false, + "reason": "Different failures: tensor shape mismatch in one case versus massive invalid buffer size in img2img in the other." + }, + { + "left": "issue:3487", + "right": "issue:5558", + "accept": false, + "reason": "One is about inpaint strength/scheduler quality, the other about multi-ControlNet artifacts; related area, but not the same concrete issue." + }, + { + "left": "issue:3101", + "right": "issue:6858", + "accept": false, + "reason": "Both concern ControlNet training, but one is a generic training-example error and the other is a specific 'str' has no attribute convert' failure; not the same bug." + }, + { + "left": "issue:12107", + "right": "issue:12157", + "accept": false, + "reason": "Both are training/runtime argument errors, but one is accelerator.init_trackers with custom objects and the other is a torch.device iterable error under bnb quantization; distinct causes." + }, + { + "left": "issue:3643", + "right": "issue:4631", + "accept": false, + "reason": "One is an INT_MAX buffer-size failure during latent decoding; the other is a scheduler scalar conversion error with Karras sigmas." + }, + { + "left": "issue:7133", + "right": "issue:7197", + "accept": false, + "reason": "Both are resume-from-checkpoint problems, but one is a text-encoder size mismatch in SDXL Dreambooth LoRA and the other is a KeyError on 'Shortest Edge' in a different training script." + }, + { + "left": "issue:10823", + "right": "issue:11232", + "accept": false, + "reason": "One is about missing output files from fine-tuning scripts; the other is about noise residuals during text-to-image fine-tuning. Different symptoms and fixes." + }, + { + "left": "issue:5126", + "right": "issue:5932", + "accept": false, + "reason": "A Conv2d signature error is not the same as a channel-count mismatch; these are separate model/input problems." + }, + { + "left": "issue:10010", + "right": "issue:9454", + "accept": false, + "reason": "Both are 'model not found' reports, but they target different models and different loaders/examples." + }, + { + "left": "issue:10100", + "right": "issue:10639", + "accept": false, + "reason": "These are separate feature requests for different model families (ConsisID vs Lumina-Image 2.0)." + }, + { + "left": "issue:1013", + "right": "issue:4109", + "accept": false, + "reason": "Different pipelines and different failure modes; no evidence they are the same underlying bug." + }, + { + "left": "issue:10139", + "right": "issue:9576", + "accept": false, + "reason": "Both involve pipeline loading/init, but one is about UNet sample_size handling and the other about use_safetensors propagation; distinct issues." + }, + { + "left": "issue:10447", + "right": "issue:9719", + "accept": false, + "reason": "Different topics: checkpoint conversion splitting UNet files versus progress-bar suppression during checkpoint shard loading." + }, + { + "left": "issue:1061", + "right": "issue:1823", + "accept": false, + "reason": "A documentation update for textual inversion is unrelated to swapped comments in Stable Diffusion depth2img." + }, + { + "left": "issue:1188", + "right": "issue:2437", + "accept": false, + "reason": "Both are pipeline feature requests, but for different additions (CLIPSeg+SD vs T2I-Adapter)." + }, + { + "left": "issue:1486", + "right": "issue:2579", + "accept": false, + "reason": "DDIMScheduler behavior is unrelated to a possible xFormers bug or misuse." + }, + { + "left": "issue:1486", + "right": "issue:3851", + "accept": false, + "reason": "Same scheduler class, but the reported settings and failure modes differ: prediction_type='sample' versus epsilon prediction with zero-SNR rescaling." + }, + { + "left": "issue:1949", + "right": "issue:3346", + "accept": false, + "reason": "Generic dreambooth tutorial errors are not the same as adding resume_from_checkpoint support to a LoRA training script." + }, + { + "left": "issue:2673", + "right": "issue:5215", + "accept": false, + "reason": "Both are about StableDiffusionUpscalePipeline, but one is a hard failure and the other is a brightness/quality regression; not the same bug." + }, + { + "left": "issue:2800", + "right": "issue:3728", + "accept": false, + "reason": "DiffEdit semantic editing and a new Shifted Diffusion pipeline request are unrelated changes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The cluster summary is grounded in the packet. The only accepted pair, issue:2466 and issue:3802, is a conservative match on the same checkpoints_total_limit training-example bug, and the anchor/canonical choice is supported by the stronger discussion signal on 2466. The other pairwise rejections are appropriately cautious and do not overclaim duplication from superficial topic overlap." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 107, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10671", + "issue:11006", + "issue:11627", + "issue:12494", + "issue:12565", + "issue:13300", + "issue:2507", + "issue:2988", + "issue:3886", + "issue:3910", + "issue:4037", + "issue:4206", + "issue:4376", + "issue:4885", + "issue:4975", + "issue:5128", + "issue:5337", + "issue:5425", + "issue:5457", + "issue:5593", + "issue:6159", + "issue:6252", + "issue:6842", + "issue:6879", + "issue:7389", + "issue:7390", + "issue:7441", + "issue:7793", + "issue:7982", + "issue:8532", + "issue:8534", + "issue:8540", + "issue:8543", + "issue:8805", + "issue:8817", + "issue:8834", + "issue:9042", + "issue:9109", + "issue:9156", + "issue:9167", + "issue:9309", + "issue:9450", + "issue:9527", + "issue:9546", + "issue:9630", + "issue:9873" + ], + "soft_pairs": [ + "issue:4037|issue:4206", + "issue:4975|issue:8532", + "issue:5337|issue:5457", + "issue:6842|issue:9167", + "issue:7441|issue:8805", + "issue:8534|issue:8543", + "issue:8540|issue:8834", + "issue:9042|issue:9873", + "issue:9450|issue:9630", + "issue:10671|issue:9527", + "issue:9309|issue:9546", + "issue:11627|issue:8817", + "issue:10026|issue:9156", + "issue:6159|issue:9109", + "issue:11006|issue:12565", + "issue:11627|issue:13300", + "issue:12494|issue:6879", + "issue:7389|issue:7390", + "issue:5593|issue:7982", + "issue:6252|issue:7793", + "issue:2507|issue:5128", + "issue:2988|issue:4376", + "issue:3910|issue:4885", + "issue:3886|issue:5425" + ], + "prepared_review_unit_hash": "37d3ab49a6ccdf5bd494840e10078a29df721c17f77888beaefa0f3646f0104e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33267, + "estimated_input_tokens": 8317, + "estimated_eval_tokens": 16890 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is broadly heterogeneous; most items are only loosely related by diffusion-model training/runtime topics. None of the soft pairs look like true duplicates. The clearest representative of the cluster\u2019s Flux runtime subset is issue 9450.", + "confidence": 0.77, + "canonical_issue_reason": "Issue 9450 is the most concrete, reproducible Flux runtime bug here: a specific multi-GPU device-mismatch failure with a clear error message and code-path focus.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9450 best captures the strongest shared theme in the cluster (Flux/ControlNet multi-GPU runtime failures) while remaining a specific bug rather than a feature request or question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4037", + "right": "issue:4206", + "accept": false, + "reason": "Both are ControlNet training failures, but one is FSDP validation errors and the other is SDXL main-branch breakage; different symptoms and likely different fixes." + }, + { + "left": "issue:4975", + "right": "issue:8532", + "accept": false, + "reason": "Both mention LoRA loading/memory, but one is repeated dtype-query inefficiency and the other is progressive memory growth; not clearly the same bug." + }, + { + "left": "issue:5337", + "right": "issue:5457", + "accept": false, + "reason": "These are unrelated documentation-style questions about different functions, not the same underlying bug or change." + }, + { + "left": "issue:6842", + "right": "issue:9167", + "accept": false, + "reason": "Both are import failures, but they concern different pipeline classes and different missing symbols." + }, + { + "left": "issue:7441", + "right": "issue:8805", + "accept": false, + "reason": "Python 3.12 pytest failure and a broken conversion script are unrelated issues." + }, + { + "left": "issue:8534", + "right": "issue:8543", + "accept": false, + "reason": "Both are SD3 dreambooth-related, but one is wrong weighting and the other is gradient-checkpointing failure; separate code paths." + }, + { + "left": "issue:8540", + "right": "issue:8834", + "accept": false, + "reason": "A caching idea for SD3 dreambooth training and a question about releasing SD3 ControlNet training code are not duplicates." + }, + { + "left": "issue:9042", + "right": "issue:9873", + "accept": false, + "reason": "These are different feature requests for different pipelines/models; same broad area, not the same change." + }, + { + "left": "issue:9450", + "right": "issue:9630", + "accept": false, + "reason": "Both are Flux multi-GPU issues, but the reported failures differ: device placement mismatch vs num_single_layers=0 behavior on a single GPU." + }, + { + "left": "issue:10671", + "right": "issue:9527", + "accept": false, + "reason": "Both involve dtype/device handling, but one is deterministic dtype/device queries in DiffusionPipeline while the other is a controlnet/mainpipe dtype mismatch." + }, + { + "left": "issue:9309", + "right": "issue:9546", + "accept": false, + "reason": "FluxControlNetPipeline on Flux 1 schnell and validation-step OOM in the train example are different concrete bugs." + }, + { + "left": "issue:11627", + "right": "issue:8817", + "accept": false, + "reason": "Both involve IP-Adapter support, but one is about StableDiffusion3Pipeline integration and the other is a FaceID-specific failure." + }, + { + "left": "issue:10026", + "right": "issue:9156", + "accept": false, + "reason": "Both are Flux training memory issues, but one is about DeepSpeed stage-3 not reducing memory and the other is a Flux LoRA OOM; not the same bug." + }, + { + "left": "issue:6159", + "right": "issue:9109", + "accept": false, + "reason": "SDXL ControlNet denoising_end support and missing torchvision::nms are unrelated." + }, + { + "left": "issue:11006", + "right": "issue:12565", + "accept": false, + "reason": "Both mention Wan2.1 i2v, but one is a quantized-transformer output corruption and the other is a general running issue; too little evidence for one bug." + }, + { + "left": "issue:11627", + "right": "issue:13300", + "accept": false, + "reason": "SD3 IP-Adapter support and CPU generation failures for SD3.5/FLUX are different problems." + }, + { + "left": "issue:12494", + "right": "issue:6879", + "accept": false, + "reason": "Both surface matmul/runtime errors, but one is a shape mismatch in new scripts and the other is a dtype mismatch in Custom Diffusion." + }, + { + "left": "issue:7389", + "right": "issue:7390", + "accept": false, + "reason": "Both are from_single_file errors, but they affect different pipelines and likely different edge cases." + }, + { + "left": "issue:5593", + "right": "issue:7982", + "accept": false, + "reason": "Both concern from_pipe with ControlNet-related components, but one is generic ControlNet pipelines and the other is MultiControlNetModel; not clearly the same bug." + }, + { + "left": "issue:6252", + "right": "issue:7793", + "accept": false, + "reason": "Loading LoRA weights and unloading DeepFloyd LoRA weights are opposite operations and different failures." + }, + { + "left": "issue:2507", + "right": "issue:5128", + "accept": false, + "reason": "GPU safetensors loading slowdown and a from_single_file loading error are unrelated." + }, + { + "left": "issue:2988", + "right": "issue:4376", + "accept": false, + "reason": "Scheduler step-count crash and textual inversion crash are unrelated." + }, + { + "left": "issue:3886", + "right": "issue:5425", + "accept": false, + "reason": "Distributed training timeout and checkpoint-saving compatibility issues are different training-infrastructure problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 108, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10472", + "issue:10760", + "issue:11962", + "issue:13351", + "issue:1556", + "issue:1614", + "issue:1814", + "issue:2507", + "issue:2560", + "issue:259", + "issue:2614", + "issue:2695", + "issue:2784", + "issue:2880", + "issue:2984", + "issue:3221", + "issue:3405", + "issue:3584", + "issue:3812", + "issue:4037", + "issue:4186", + "issue:4591", + "issue:4724", + "issue:4840", + "issue:4885", + "issue:5399", + "issue:5592", + "issue:5770", + "issue:5777", + "issue:5829", + "issue:5845", + "issue:5972", + "issue:6073", + "issue:6492", + "issue:6823", + "issue:7082", + "issue:7239", + "issue:7421", + "issue:7708", + "issue:835", + "issue:9012", + "issue:9208", + "issue:9239", + "issue:941", + "issue:964", + "issue:9731", + "issue:987" + ], + "soft_pairs": [ + "issue:6492|issue:9239", + "issue:4591|issue:7421", + "issue:4186|issue:964", + "issue:3584|issue:6073", + "issue:10472|issue:9731", + "issue:2695|issue:5972", + "issue:11962|issue:13351", + "issue:1556|issue:2507", + "issue:4885|issue:9012", + "issue:5777|issue:5845", + "issue:10760|issue:7082", + "issue:1814|issue:2614", + "issue:2560|issue:941", + "issue:259|issue:2880", + "issue:4840|issue:5592", + "issue:6823|issue:9208", + "issue:3812|issue:7708", + "issue:2784|issue:2984", + "issue:5770|issue:5829", + "issue:5399|issue:7239", + "issue:3405|issue:4037", + "issue:3221|issue:4724", + "issue:835|issue:987", + "issue:1614|issue:987" + ], + "prepared_review_unit_hash": "40831b43f3d87ef2b168548670810bb31ac39ae9cec9ad265b8faeeae359241e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33278, + "estimated_input_tokens": 8320, + "estimated_eval_tokens": 16896 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated or only broadly similar by subsystem. The only likely duplicate pair is the Pixart Alpha DreamBooth training failure; the rest should stay separate.", + "confidence": 0.86, + "canonical_issue_reason": "issue:5845 has the clearest, most specific title for the Pixart Alpha DreamBooth failure, making it a better representative than the more generic/typoed wording in issue:5777.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5845 is the best cluster representative because it names the model and training mode precisely and likely captures the underlying bug most cleanly.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6492", + "right": "issue:9239", + "accept": false, + "reason": "Both mention black images, but one is a generic generation symptom and the other is specifically ControlNet-Canny; too broad to be the same concrete bug." + }, + { + "left": "issue:4591", + "right": "issue:7421", + "accept": false, + "reason": "Both involve generation determinism/seeds, but they target different pipelines and failure modes (Karlo/unCLIP vs SDXL K-Diffusion)." + }, + { + "left": "issue:4186", + "right": "issue:964", + "accept": false, + "reason": "Both are inpainting-related, but one is a specific SDXL refiner compatibility issue and the other is a generic example failure." + }, + { + "left": "issue:3584", + "right": "issue:6073", + "accept": false, + "reason": "Both are DreamBooth tutorial problems, but they are different documents/training setups and likely different user errors." + }, + { + "left": "issue:10472", + "right": "issue:9731", + "accept": false, + "reason": "These are both LoRA-related, but one is a lora_bias constructor error and the other is a how-to question about training style LoRA; not the same bug." + }, + { + "left": "issue:2695", + "right": "issue:5972", + "accept": false, + "reason": "One is a ControlNet training validation bug, the other is a documentation request about Min-SNR weighting." + }, + { + "left": "issue:11962", + "right": "issue:13351", + "accept": false, + "reason": "Different model families and features (FLUX GGUF support vs Wan/Flux ControlNet support), so not the same underlying change." + }, + { + "left": "issue:1556", + "right": "issue:2507", + "accept": false, + "reason": "One is black outputs with CUDA/NSFW warning, the other is safetensors load performance on GPU; unrelated symptoms." + }, + { + "left": "issue:4885", + "right": "issue:9012", + "accept": false, + "reason": "Both are controlnet model-loading problems, but they affect different model classes and error paths." + }, + { + "left": "issue:5777", + "right": "issue:5845", + "accept": true, + "reason": "Both describe DreamBooth training failing with Pixart Alpha; the titles point to the same underlying training bug." + }, + { + "left": "issue:10760", + "right": "issue:7082", + "accept": false, + "reason": "Both are import errors, but they reference different symbols and different packages/modules." + }, + { + "left": "issue:1814", + "right": "issue:2614", + "accept": false, + "reason": "Unrelated topics: CLIP model support versus changing the pretrained-model download directory." + }, + { + "left": "issue:2560", + "right": "issue:941", + "accept": false, + "reason": "Both concern generator-related output differences, but one is img2img with generator lists and the other is an MPS-specific num_images_per_prompt noise issue." + }, + { + "left": "issue:259", + "right": "issue:2880", + "accept": false, + "reason": "These do not describe the same bug; one is a progress-bar fix and the other is a JAX colab runtime issue." + }, + { + "left": "issue:4840", + "right": "issue:5592", + "accept": false, + "reason": "Both mention checkpoint loading, but they are different models and conversion/loading code paths." + }, + { + "left": "issue:6823", + "right": "issue:9208", + "accept": false, + "reason": "Both involve ControlNet, but one is a broad inability to use it while the other is a specific from_single_file loading bug." + }, + { + "left": "issue:3812", + "right": "issue:7708", + "accept": false, + "reason": "Different missing-config problems on different assets; not the same artifact or code path." + }, + { + "left": "issue:2784", + "right": "issue:2984", + "accept": false, + "reason": "A feature request for DreamBooth text-to-video support is not the same as a paper/project issue about latent video diffusion models." + }, + { + "left": "issue:5770", + "right": "issue:5829", + "accept": false, + "reason": "Both are LCM-related, but one is blocked by dataset access and the other is a script crash from a missing argument." + }, + { + "left": "issue:5399", + "right": "issue:7239", + "accept": false, + "reason": "Completely different failures: dtype mismatch in custom inpainting inference versus SDXL LoRA shape mismatch." + }, + { + "left": "issue:3405", + "right": "issue:4037", + "accept": false, + "reason": "Both are ControlNet training issues, but one is a generic training bug and the other is specifically FSDP validation errors." + }, + { + "left": "issue:3221", + "right": "issue:4724", + "accept": false, + "reason": "Different pipelines and failures: attention processor loading in diffusers 0.16.0 versus SDXL img2img checkpoint behavior." + }, + { + "left": "issue:835", + "right": "issue:987", + "accept": false, + "reason": "Both involve incorrect image outputs, but the pipelines and symptom details differ too much to merge." + }, + { + "left": "issue:1614", + "right": "issue:987", + "accept": false, + "reason": "Both are image-output defects, but one is black outputs under autocast and the other is green output in speech-to-image; not the same bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The assessment is grounded in the packet and stays conservative. The Pixart Alpha DreamBooth pair (5777, 5845) is the only duplicate-like match supported by the titles, and the other soft-edge rejections avoid overclaiming beyond the available evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 109, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10066", + "issue:10194", + "issue:10382", + "issue:10453", + "issue:10989", + "issue:11408", + "issue:11432", + "issue:11436", + "issue:1231", + "issue:1363", + "issue:2447", + "issue:2695", + "issue:2822", + "issue:2875", + "issue:2947", + "issue:3094", + "issue:3111", + "issue:3221", + "issue:3296", + "issue:3480", + "issue:4073", + "issue:4086", + "issue:4210", + "issue:4389", + "issue:4852", + "issue:4874", + "issue:5128", + "issue:5254", + "issue:5465", + "issue:5829", + "issue:5881", + "issue:5886", + "issue:5897", + "issue:5997", + "issue:6250", + "issue:6371", + "issue:6565", + "issue:7033", + "issue:7168", + "issue:7238", + "issue:7877", + "issue:8410", + "issue:8464", + "issue:8645", + "issue:9096", + "issue:9370", + "issue:9825", + "issue:9856" + ], + "soft_pairs": [ + "issue:8410|issue:9825", + "issue:4852|issue:5128", + "issue:6250|issue:9856", + "issue:10382|issue:4210", + "issue:11436|issue:9096", + "issue:2447|issue:5897", + "issue:5829|issue:9370", + "issue:10453|issue:11408", + "issue:3094|issue:6371", + "issue:2822|issue:5881", + "issue:5254|issue:5465", + "issue:10989|issue:8464", + "issue:4210|issue:8645", + "issue:4874|issue:5128", + "issue:2695|issue:5997", + "issue:3221|issue:4086", + "issue:3296|issue:4389", + "issue:1231|issue:1363", + "issue:5886|issue:7238", + "issue:10066|issue:11432", + "issue:10194|issue:7877", + "issue:7033|issue:7168", + "issue:2875|issue:6565", + "issue:2947|issue:4073", + "issue:3111|issue:3480" + ], + "prepared_review_unit_hash": "2c4d606ac0a8fb582eaf4c96e48adfcf7223a4b2705ec60ddfbcf5ecc0f9b296", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34556, + "estimated_input_tokens": 8639, + "estimated_eval_tokens": 17534 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft-edge pair looks like the same underlying bug/change. The items are mostly heterogeneous, with only superficial overlap in keywords like Flux, IP-Adapter, loading, or dtype.", + "confidence": 0.39, + "canonical_issue_reason": "issue:10194 is the broadest open issue in the set and the most reasonable anchor for an attention-masking-related cluster, though the overall set is still quite mixed.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10194 is the strongest single issue to surface for follow-up: open, clearly scoped, and more central than the narrower one-off bug reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8410", + "right": "issue:9825", + "accept": false, + "reason": "Both are Flux/feature requests, but one is about native TextDiffuser support and the other about IP-Adapter support; different changes." + }, + { + "left": "issue:4852", + "right": "issue:5128", + "accept": false, + "reason": "Both mention loading assets, but one is a LoRA loading failure and the other is single-file safetensors loading; distinct code paths." + }, + { + "left": "issue:6250", + "right": "issue:9856", + "accept": false, + "reason": "VAE single-file KeyError and distributed port collision are unrelated failures." + }, + { + "left": "issue:10382", + "right": "issue:4210", + "accept": false, + "reason": "VAE encoder return-type mismatch is unrelated to UNet attention_mask usage questions." + }, + { + "left": "issue:11436", + "right": "issue:9096", + "accept": false, + "reason": "Both are Flux inference precision issues, but one is a concrete dtype mismatch and the other is NaN output behavior; not the same bug." + }, + { + "left": "issue:2447", + "right": "issue:5897", + "accept": false, + "reason": "Different LoRA problems: generic LoRA error versus device placement mismatch in a training script." + }, + { + "left": "issue:5829", + "right": "issue:9370", + "accept": false, + "reason": "Both involve missing model arguments, but they affect different architectures and different missing parameters." + }, + { + "left": "issue:10453", + "right": "issue:11408", + "accept": false, + "reason": "Batch-size limitation in Hunyuan Video is unrelated to set_adapters not working on compiled models." + }, + { + "left": "issue:3094", + "right": "issue:6371", + "accept": false, + "reason": "CUDA OOM during training and a controlnet_xs assertion failure are not the same issue." + }, + { + "left": "issue:2822", + "right": "issue:5881", + "accept": false, + "reason": "Slow convergence and worse animatediff quality are related at a high level but not the same concrete defect." + }, + { + "left": "issue:5254", + "right": "issue:5465", + "accept": false, + "reason": "Both are pipeline feature requests, but they target different pipelines and different capabilities." + }, + { + "left": "issue:10989", + "right": "issue:8464", + "accept": false, + "reason": "Flux ControlNet LoRA quantization load failure and SEGA seed/offload failure are unrelated." + }, + { + "left": "issue:4210", + "right": "issue:8645", + "accept": false, + "reason": "UNet attention_mask usage and a missing utility function are unrelated." + }, + { + "left": "issue:4874", + "right": "issue:5128", + "accept": false, + "reason": "Both involve loading/local use, but one is a scheduler bug and the other is a single-file model-loading error." + }, + { + "left": "issue:2695", + "right": "issue:5997", + "accept": false, + "reason": "Training validation logging failure and SDXL ControlNet tutorial type mismatch are different problems." + }, + { + "left": "issue:3221", + "right": "issue:4086", + "accept": false, + "reason": "Missing load_attn_procs support and SDXL ControlNet training not working are distinct issues." + }, + { + "left": "issue:3296", + "right": "issue:4389", + "accept": false, + "reason": "Checkpoint save/load with text_encoder and ControlNetModel load failure do not share the same underlying bug." + }, + { + "left": "issue:1231", + "right": "issue:1363", + "accept": false, + "reason": "Both mention LMS/K-LMS, but Flax scheduler support and ONNX long-prompt-weight errors are separate contexts." + }, + { + "left": "issue:5886", + "right": "issue:7238", + "accept": false, + "reason": "IP-Adapter face model support and IP-Adapter masking are different feature requests." + }, + { + "left": "issue:10066", + "right": "issue:11432", + "accept": false, + "reason": "A self.attn unpacking error and torch_dtype='auto' behavior are different failure modes." + }, + { + "left": "issue:10194", + "right": "issue:7877", + "accept": false, + "reason": "Attention masking support and an out_dim argument for Attention block are related only broadly, not the same concrete change." + }, + { + "left": "issue:7033", + "right": "issue:7168", + "accept": false, + "reason": "Attention masking warning logs versus 4D image-embedding shape confusion are distinct IP-Adapter issues." + }, + { + "left": "issue:2875", + "right": "issue:6565", + "accept": false, + "reason": "NaN training loss and DPO diffusion training instability are not the same defect." + }, + { + "left": "issue:2947", + "right": "issue:4073", + "accept": false, + "reason": "Missing load_attn_procs attribute and Tensor.astype error in safety checker are unrelated." + }, + { + "left": "issue:3111", + "right": "issue:3480", + "accept": false, + "reason": "Custom conditioning encoder support and text-encoder LoRA scale parameter support are different enhancements." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 110, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10121", + "issue:10925", + "issue:11185", + "issue:11363", + "issue:11464", + "issue:11878", + "issue:13105", + "issue:1315", + "issue:1572", + "issue:1944", + "issue:2163", + "issue:2596", + "issue:3405", + "issue:3631", + "issue:3643", + "issue:4086", + "issue:4186", + "issue:4356", + "issue:4969", + "issue:5128", + "issue:5259", + "issue:5515", + "issue:5619", + "issue:5892", + "issue:6016", + "issue:6130", + "issue:6196", + "issue:6256", + "issue:6439", + "issue:6548", + "issue:6870", + "issue:7003", + "issue:7119", + "issue:7293", + "issue:730", + "issue:7378", + "issue:7538", + "issue:7735", + "issue:7757", + "issue:7960", + "issue:8956", + "issue:9208", + "issue:9278", + "issue:9501", + "issue:9558", + "issue:9731", + "issue:9804", + "issue:9895" + ], + "soft_pairs": [ + "issue:4969|issue:5892", + "issue:3405|issue:4086", + "issue:1572|issue:3631", + "issue:6548|issue:9558", + "issue:5515|issue:5619", + "issue:11878|issue:13105", + "issue:6256|issue:7293", + "issue:6439|issue:7119", + "issue:6870|issue:7735", + "issue:9208|issue:9804", + "issue:10121|issue:11185", + "issue:6016|issue:7003", + "issue:7538|issue:9731", + "issue:7757|issue:7960", + "issue:1315|issue:2596", + "issue:9278|issue:9501", + "issue:2163|issue:6130", + "issue:5128|issue:6196", + "issue:1944|issue:730", + "issue:10925|issue:11464", + "issue:4186|issue:6870", + "issue:4356|issue:5259", + "issue:8956|issue:9804", + "issue:11363|issue:9895", + "issue:3643|issue:7378" + ], + "prepared_review_unit_hash": "4493622efa78e750da86830861df795d756c4fe80652285df4e336ba0c80b86d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34350, + "estimated_input_tokens": 8588, + "estimated_eval_tokens": 17432 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated issues across training, inference, loading, and docs. None of the soft-edge pairs look like the same underlying bug/change closely enough to merge.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 9208 is the closest thing to a cluster anchor because it is a concrete, reproducible model-loading bug, but even it does not subsume the rest of the items.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9208 is the strongest standalone issue in this list: specific, actionable, and easy to reproduce. It is still not a good global duplicate representative beyond its own controlnet-loading niche.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4969", + "right": "issue:5892", + "accept": false, + "reason": "Both are import errors, but they refer to different missing symbols and likely different breakages." + }, + { + "left": "issue:3405", + "right": "issue:4086", + "accept": false, + "reason": "Both mention controlnet training, but one is a general training bug and the other is an SDXL-specific training failure." + }, + { + "left": "issue:1572", + "right": "issue:3631", + "accept": false, + "reason": "Both touch inpainting/img2img, but one is a broad pipeline compatibility problem and the other is a specific latents-input exception." + }, + { + "left": "issue:6548", + "right": "issue:9558", + "accept": false, + "reason": "Different symptoms and code paths: RGBA latents handling vs black validation images in tensorboard." + }, + { + "left": "issue:5515", + "right": "issue:5619", + "accept": false, + "reason": "Different pipeline problems: missing scheduler initialization vs AutoencodeTiny behavior in LCM img2img." + }, + { + "left": "issue:11878", + "right": "issue:13105", + "accept": false, + "reason": "Both are Wan 1.3B-related, but one is GGUF loading and the other is output quality/noise during inference." + }, + { + "left": "issue:6256", + "right": "issue:7293", + "accept": false, + "reason": "A callback feature request is unrelated to integrating a specific audio model." + }, + { + "left": "issue:6439", + "right": "issue:7119", + "accept": false, + "reason": "Both are docs issues, but the broken links are not the same target or bug." + }, + { + "left": "issue:6870", + "right": "issue:7735", + "accept": false, + "reason": "Unrelated: VAE tiling support in pipelines versus a dataset caption-column training error." + }, + { + "left": "issue:9208", + "right": "issue:9804", + "accept": false, + "reason": "Both concern ControlNet loading locally, but they are different APIs and failure modes, so they should not be merged as the same bug." + }, + { + "left": "issue:10121", + "right": "issue:11185", + "accept": false, + "reason": "Different models and failures: FLUX high-resolution generation vs CogView4 generation error." + }, + { + "left": "issue:6016", + "right": "issue:7003", + "accept": false, + "reason": "These are separate conversion and inpainting shape issues with different code paths." + }, + { + "left": "issue:7538", + "right": "issue:9731", + "accept": false, + "reason": "Both are training-help issues, but they are about different datasets/models and different user problems." + }, + { + "left": "issue:7757", + "right": "issue:7960", + "accept": false, + "reason": "Both involve SDXL multi-GPU training, but the concrete reports differ enough that they are not the same bug." + }, + { + "left": "issue:1315", + "right": "issue:2596", + "accept": false, + "reason": "Different import/documentation problems and different missing names." + }, + { + "left": "issue:9278", + "right": "issue:9501", + "accept": false, + "reason": "Both are FLUX DreamBooth training reports, but one is multi-GPU training and the other is delayed model saving." + }, + { + "left": "issue:2163", + "right": "issue:6130", + "accept": false, + "reason": "A dtype mismatch in a training example is unrelated to a LoRA loading error." + }, + { + "left": "issue:5128", + "right": "issue:6196", + "accept": false, + "reason": "These concern different loaders and different model types, so they are not the same underlying bug." + }, + { + "left": "issue:1944", + "right": "issue:730", + "accept": false, + "reason": "Both are DreamBooth training complaints, but the symptoms and likely causes are different." + }, + { + "left": "issue:10925", + "right": "issue:11464", + "accept": false, + "reason": "Flux DreamBooth finetuning and loading a Flux ControlNet LoRA are different tasks and failures." + }, + { + "left": "issue:4186", + "right": "issue:6870", + "accept": false, + "reason": "Both mention inpainting, but one is SDXL refiner behavior and the other is VAE tiling availability." + }, + { + "left": "issue:4356", + "right": "issue:5259", + "accept": false, + "reason": "Completely different errors: a missing dummy module versus a missing model_index.json." + }, + { + "left": "issue:8956", + "right": "issue:9804", + "accept": false, + "reason": "An OpenVINO SDXL model-load failure is unrelated to ControlNet local-loading failure." + }, + { + "left": "issue:11363", + "right": "issue:9895", + "accept": false, + "reason": "CUDA OOM in a ControlNet example is unrelated to a Flux device-placement regression." + }, + { + "left": "issue:3643", + "right": "issue:7378", + "accept": false, + "reason": "Both involve latent decoding/memory, but the pipelines and failure modes are different." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 111, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10421", + "issue:1062", + "issue:10705", + "issue:10893", + "issue:11247", + "issue:1185", + "issue:12009", + "issue:1251", + "issue:12529", + "issue:12612", + "issue:12699", + "issue:1572", + "issue:1944", + "issue:2026", + "issue:2364", + "issue:2465", + "issue:2480", + "issue:2875", + "issue:3803", + "issue:3954", + "issue:4446", + "issue:4488", + "issue:4593", + "issue:4975", + "issue:5447", + "issue:5488", + "issue:5570", + "issue:5592", + "issue:5619", + "issue:5917", + "issue:6157", + "issue:6218", + "issue:6821", + "issue:6870", + "issue:7146", + "issue:7293", + "issue:7310", + "issue:7936", + "issue:8359", + "issue:8540", + "issue:8555", + "issue:8832", + "issue:8833", + "issue:8900", + "issue:9052", + "issue:9164", + "issue:9227", + "issue:9450" + ], + "soft_pairs": [ + "issue:12009|issue:12529", + "issue:3803|issue:3954", + "issue:4446|issue:8900", + "issue:7146|issue:7310", + "issue:5488|issue:6870", + "issue:7936|issue:8833", + "issue:5570|issue:5917", + "issue:10705|issue:9450", + "issue:10893|issue:7293", + "issue:1251|issue:8832", + "issue:2875|issue:6821", + "issue:6157|issue:6218", + "issue:10421|issue:11247", + "issue:1185|issue:2465", + "issue:1572|issue:2026", + "issue:8540|issue:8555", + "issue:5447|issue:5619", + "issue:4488|issue:5592", + "issue:4593|issue:4975", + "issue:1062|issue:1944", + "issue:9164|issue:9227", + "issue:12612|issue:12699", + "issue:2364|issue:2480", + "issue:8359|issue:9052" + ], + "prepared_review_unit_hash": "e944c8590a503e7b0e103166303293ad0a1c1c646de7887b192b7d8dfb813200", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34134, + "estimated_input_tokens": 8534, + "estimated_eval_tokens": 17324 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous; the only strong duplicate-looking pair is the two `from_single_file` custom-checkpoint loading failures. Most other pairs share a broad subsystem but describe different symptoms/code paths, so they should stay separate.", + "confidence": 0.59, + "canonical_issue_reason": "issue:8359 is the broadest and clearest representative of the one true duplicate-like thread here: `from_single_file` failing on custom checkpoints, with issue:9052 as the closest match.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8359 is the best anchor for this cluster because it captures the most reusable underlying bug class in the set and has the strongest duplicate candidate nearby.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12009", + "right": "issue:12529", + "accept": false, + "reason": "Both are Wan-related load/runtime failures, but one is GGUF single-file loading and the other is a tiled VAE tensor mismatch; different failure modes." + }, + { + "left": "issue:3803", + "right": "issue:3954", + "accept": false, + "reason": "Same broad multi-GPU training area, but one is model sharing across GPUs and the other is LR scheduler step counting; not the same bug." + }, + { + "left": "issue:4446", + "right": "issue:8900", + "accept": false, + "reason": "Both involve `from_single_file`, but one is custom text-encoder support and the other is SDXL refiner loading; different concrete problems." + }, + { + "left": "issue:7146", + "right": "issue:7310", + "accept": false, + "reason": "Both are SDXL training issues, but CUDA OOM is not the same as defaults not working; no clear shared root cause." + }, + { + "left": "issue:5488", + "right": "issue:6870", + "accept": false, + "reason": "Demo-code failure vs missing `enable_vae_tiling` in img2img/inpaint pipelines; too different to merge." + }, + { + "left": "issue:7936", + "right": "issue:8833", + "accept": false, + "reason": "Both are file/config loading errors, but one is invalid JSON from a safetensors file and the other is a missing `config.json` for SD3; likely separate causes." + }, + { + "left": "issue:5570", + "right": "issue:5917", + "accept": false, + "reason": "Packaging/utility function missing vs checkpoint conversion regression after upgrade; related area, different bug." + }, + { + "left": "issue:10705", + "right": "issue:9450", + "accept": false, + "reason": "Both mention Flux and multi-GPU context, but one is slower inference on reuse and the other is a device-placement error; not the same issue." + }, + { + "left": "issue:10893", + "right": "issue:7293", + "accept": false, + "reason": "Both are feature requests for model integration, but they target different pipelines/models and are not the same change." + }, + { + "left": "issue:1251", + "right": "issue:8832", + "accept": false, + "reason": "A black-image-on-MPS bug is distinct from a generic crash on `pipe(prompt).images[0]`." + }, + { + "left": "issue:2875", + "right": "issue:6821", + "accept": false, + "reason": "Training NaNs and a caption-column validation error are unrelated failure modes." + }, + { + "left": "issue:6157", + "right": "issue:6218", + "accept": false, + "reason": "IP-Adapter not working in one pipeline vs batched seeds not working in ControlNet/img2img; same broad area, different bug." + }, + { + "left": "issue:10421", + "right": "issue:11247", + "accept": false, + "reason": "Both are multi-GPU Flux-related, but one is a CPU memory leak moving pipelines and the other is a transformer/controlnet device-distribution error." + }, + { + "left": "issue:1185", + "right": "issue:2465", + "accept": false, + "reason": "Reproducibility complaint vs asking for a training recipe; different intent and likely different underlying issue." + }, + { + "left": "issue:1572", + "right": "issue:2026", + "accept": false, + "reason": "Different pipelines and different unsupported features: stable_diffusion_mega img2img/inpainting vs CPU offload in PaintByExample." + }, + { + "left": "issue:8540", + "right": "issue:8555", + "accept": false, + "reason": "Both are SD3 training-related feature requests, but one is about caching embeddings/VAE reps and the other about FP8/text-encoder training." + }, + { + "left": "issue:5447", + "right": "issue:5619", + "accept": false, + "reason": "Scheduler denoising_start behavior and AutoencodeTiny encode behavior are separate code paths." + }, + { + "left": "issue:4488", + "right": "issue:5592", + "accept": false, + "reason": "Both are checkpoint loading problems, but SDXL original-checkpoint conversion and UniDiffuser checkpoint loading are not the same bug." + }, + { + "left": "issue:4593", + "right": "issue:4975", + "accept": false, + "reason": "One is an A1111 LoRA rank compatibility problem, the other is inefficient dtype queries during LoRA loading; related subsystem, different issue." + }, + { + "left": "issue:1062", + "right": "issue:1944", + "accept": false, + "reason": "Both are Dreambooth reproducibility complaints, but they describe different models, prompts, and symptoms; too broad to merge." + }, + { + "left": "issue:9164", + "right": "issue:9227", + "accept": false, + "reason": "Same training script family, but one is non-convergence of an example and the other is a run problem with a specific model; not enough evidence of one bug." + }, + { + "left": "issue:12612", + "right": "issue:12699", + "accept": false, + "reason": "Both are Wan 2.2/2.1 quality/latency/NaN complaints, but one is NaNs in latents and the other is degradation after many prompts with a LoRA; different failure modes." + }, + { + "left": "issue:2364", + "right": "issue:2480", + "accept": false, + "reason": "General inability to run a training script vs a missing UNet checkpoint directory issue; distinct problems." + }, + { + "left": "issue:8359", + "right": "issue:9052", + "accept": true, + "reason": "Both report `from_single_file` failing on custom checkpoints/CivitAI checkpoints, which looks like the same underlying loading bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and stays conservative overall. The only accepted pair, issue:8359 with issue:9052, is a reasonable duplicate-like match based on both being `from_single_file` custom-checkpoint loading failures. The other pair rejections are appropriately cautious and do not overclaim a shared root cause from the available titles/bodies." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 112, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10139", + "issue:10223", + "issue:10472", + "issue:10671", + "issue:11133", + "issue:11160", + "issue:11199", + "issue:11218", + "issue:13258", + "issue:1434", + "issue:1478", + "issue:1572", + "issue:1672", + "issue:1976", + "issue:2439", + "issue:2659", + "issue:3101", + "issue:3377", + "issue:3428", + "issue:3539", + "issue:3812", + "issue:4255", + "issue:5544", + "issue:5577", + "issue:5593", + "issue:5630", + "issue:5647", + "issue:5687", + "issue:5881", + "issue:6069", + "issue:6250", + "issue:6297", + "issue:6517", + "issue:6540", + "issue:6870", + "issue:7243", + "issue:7405", + "issue:8909", + "issue:8939", + "issue:9026", + "issue:9069", + "issue:9208", + "issue:9237", + "issue:9278", + "issue:9613", + "issue:9667", + "issue:9768", + "issue:9911" + ], + "soft_pairs": [ + "issue:9237|issue:9278", + "issue:11133|issue:9613", + "issue:5647|issue:5687", + "issue:9026|issue:9069", + "issue:11160|issue:13258", + "issue:6297|issue:8939", + "issue:5577|issue:9208", + "issue:3101|issue:6540", + "issue:1672|issue:2659", + "issue:5593|issue:6069", + "issue:4255|issue:5881", + "issue:10671|issue:8909", + "issue:1976|issue:3812", + "issue:9768|issue:9911", + "issue:1572|issue:2439", + "issue:6250|issue:9667", + "issue:7243|issue:7405", + "issue:10139|issue:6870", + "issue:1434|issue:1478", + "issue:3428|issue:5630", + "issue:10223|issue:10472", + "issue:11199|issue:11218", + "issue:3377|issue:3539", + "issue:5544|issue:6517" + ], + "prepared_review_unit_hash": "c0d54eb8f89fc290df1ffac7efb2b0fbac19a94878493053fb01cfc010e47bd3", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34547, + "estimated_input_tokens": 8637, + "estimated_eval_tokens": 17530 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the items span unrelated pipeline, loading, training, and model-specific bugs. None of the soft-edge pairs look like true duplicates; they are only superficially similar by subsystem or wording.", + "confidence": 0.28, + "canonical_issue_reason": "Issue 10139 is the closest thing to a representative cluster anchor: it is a general pipeline-init bug with some inbound references, while the rest of the set is too diverse to support a stronger canonical choice.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10139 is the broadest, most central pipeline-related defect in the set, so it is the least bad representative even though the cluster itself is not a real duplicate group.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9237", + "right": "issue:9278", + "accept": false, + "reason": "Both involve FLUX LoRA training, but one is a general issue and the other is specifically multigpu training; different failure modes, not the same bug." + }, + { + "left": "issue:11133", + "right": "issue:9613", + "accept": false, + "reason": "Different pipelines and symptoms: CogVideoX image-to-video bug versus a Timesteps.scale attribute error in a custom diffusion model." + }, + { + "left": "issue:5647", + "right": "issue:5687", + "accept": false, + "reason": "Both touch img2img/inpaint behavior, but one is strength==1 handling and the other is duplicate timesteps with Karras sigmas; not the same root cause." + }, + { + "left": "issue:9026", + "right": "issue:9069", + "accept": false, + "reason": "Completely different errors: an unexpected force_hook keyword versus a type mismatch converting numpy arrays." + }, + { + "left": "issue:11160", + "right": "issue:13258", + "accept": false, + "reason": "Both mention WAN I2V, but one reports inconsistent inference on WAN 2.1 and the other is a missing WAN 2.2 model entry." + }, + { + "left": "issue:6297", + "right": "issue:8939", + "accept": false, + "reason": "Dreambooth LoRA training on personal photos is unrelated to a tokenizer import/load failure for SD3 Medium." + }, + { + "left": "issue:5577", + "right": "issue:9208", + "accept": false, + "reason": "Both relate to ControlNet loading, but one is a specific single-file KeyError and the other is broad model-loading support for from_single_file()." + }, + { + "left": "issue:3101", + "right": "issue:6540", + "accept": false, + "reason": "Training-example ControlNet error and FSDP mat2 shape error are different code paths and different symptoms." + }, + { + "left": "issue:1672", + "right": "issue:2659", + "accept": false, + "reason": "Wrong output size after ckpt conversion is not the same as nondeterministic changes with batch size." + }, + { + "left": "issue:5593", + "right": "issue:6069", + "accept": false, + "reason": "AutoPipeline ControlNet conversion failure and DPM++ add_noise failing at t=0 are unrelated." + }, + { + "left": "issue:4255", + "right": "issue:5881", + "accept": false, + "reason": "Both are quality-comparison complaints, but they concern different features and models; no shared bug." + }, + { + "left": "issue:10671", + "right": "issue:8909", + "accept": false, + "reason": "Device/dtype determinism in DiffusionPipeline is unrelated to saving text_encoder_ti during LoRA training." + }, + { + "left": "issue:1976", + "right": "issue:3812", + "accept": false, + "reason": "Tokenizer config lookup failure and missing controlnet config entry are different configuration/import problems." + }, + { + "left": "issue:9768", + "right": "issue:9911", + "accept": false, + "reason": "One is an SDPA/CuDNN NaN issue on torch 2.5; the other is a multi-ControlNet layer-length mismatch for FLUX." + }, + { + "left": "issue:1572", + "right": "issue:2439", + "accept": false, + "reason": "Both mention inpainting, but one is the stable_diffusion_mega pipeline failing for img2img/inpainting while the other is a general inpainting pipeline load/run issue." + }, + { + "left": "issue:6250", + "right": "issue:9667", + "accept": false, + "reason": "These are different model-loading failures: SDXL VAE single-file KeyError versus FLUX fp8 loading with a local transformer file." + }, + { + "left": "issue:7243", + "right": "issue:7405", + "accept": false, + "reason": "ResAdapter and DynamiCrafter are distinct model/model-card issues, not the same bug." + }, + { + "left": "issue:10139", + "right": "issue:6870", + "accept": false, + "reason": "Unet sample_size pipeline-init handling and missing enable_vae_tiling support in img2img/inpaint are unrelated." + }, + { + "left": "issue:1434", + "right": "issue:1478", + "accept": false, + "reason": "Both involve StableDiffusionUpscalePipeline, but one is OOM for larger inputs and the other is a one-image output limitation." + }, + { + "left": "issue:3428", + "right": "issue:5630", + "accept": false, + "reason": "Both concern img2img results, but one is an unexpected result after changing the pipeline and the other is LMS scheduler noise leftover in SDXL img2img." + }, + { + "left": "issue:10223", + "right": "issue:10472", + "accept": false, + "reason": "A question about where to get a LoRA identifier in inference is not the same as an unexpected lora_bias keyword error." + }, + { + "left": "issue:11199", + "right": "issue:11218", + "accept": false, + "reason": "Importing onnx_utils and missing CogView4LoraLoaderMixin are separate import failures." + }, + { + "left": "issue:3377", + "right": "issue:3539", + "accept": false, + "reason": "These are different questions about training optimization and distributed training behavior; not a duplicate bug." + }, + { + "left": "issue:5544", + "right": "issue:6517", + "accept": false, + "reason": "FreeU disable behavior in SDXL is unrelated to the ControlNet SDXL img2img import traceback." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 113, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10144", + "issue:10317", + "issue:11014", + "issue:11298", + "issue:11351", + "issue:2052", + "issue:2089", + "issue:255", + "issue:2844", + "issue:3222", + "issue:3382", + "issue:3461", + "issue:3584", + "issue:3694", + "issue:3884", + "issue:3885", + "issue:4241", + "issue:4256", + "issue:4306", + "issue:4402", + "issue:4450", + "issue:4638", + "issue:4639", + "issue:4885", + "issue:5544", + "issue:5603", + "issue:6107", + "issue:6112", + "issue:6154", + "issue:6157", + "issue:6176", + "issue:6524", + "issue:6610", + "issue:7049", + "issue:7431", + "issue:7568", + "issue:7619", + "issue:8485", + "issue:8645", + "issue:8649", + "issue:8879", + "issue:8885", + "issue:9141", + "issue:9237", + "issue:9320", + "issue:9410", + "issue:9556", + "issue:9856" + ], + "soft_pairs": [ + "issue:6157|issue:6524", + "issue:8645|issue:9141", + "issue:11298|issue:8649", + "issue:2052|issue:4450", + "issue:3884|issue:4639", + "issue:10317|issue:8879", + "issue:3694|issue:8885", + "issue:3382|issue:3885", + "issue:255|issue:2844", + "issue:6154|issue:9856", + "issue:4638|issue:4885", + "issue:9320|issue:9556", + "issue:4306|issue:5544", + "issue:10144|issue:11351", + "issue:4241|issue:8485", + "issue:4256|issue:7619", + "issue:5603|issue:9410", + "issue:6112|issue:7568", + "issue:4402|issue:6610", + "issue:3461|issue:3584", + "issue:3222|issue:6176", + "issue:6107|issue:7049", + "issue:11014|issue:2089", + "issue:7431|issue:9237" + ], + "prepared_review_unit_hash": "e2e285b85dc49693274d392bdbeeadfe428ca6ca39c5307d37582a625980947d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34338, + "estimated_input_tokens": 8585, + "estimated_eval_tokens": 17426 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a duplicate cluster: the issues cover many unrelated bugs, features, and pipelines. All soft-edge pairs should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No safe canonical issue exists because the items span unrelated topics (LoRA loading, SDXL training, torch.compile, controlnet, single-file loading, etc.).", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is globally representative of the set; there is no common underlying bug or change to canonicalize.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6157", + "right": "issue:6524", + "accept": false, + "reason": "Both mention LoRA loading, but one is about IP-Adapter/ControlNet behavior and the other about reloading LoRA a second time; different failure modes." + }, + { + "left": "issue:8645", + "right": "issue:9141", + "accept": false, + "reason": "One requests a missing helper for ControlNet conversion from single-file, the other reports FluxPipeline missing from_single_file(); different APIs and problems." + }, + { + "left": "issue:11298", + "right": "issue:8649", + "accept": false, + "reason": "LoRA key errors during hotswapping multiple LoRAs are unrelated to SD3 num_images_per_prompt being ignored/errored." + }, + { + "left": "issue:2052", + "right": "issue:4450", + "accept": false, + "reason": "Textual Inversion checkpoint resume and multi-text-inversion example failure are distinct training-script issues." + }, + { + "left": "issue:3884", + "right": "issue:4639", + "accept": false, + "reason": "train_text_to_image_lora.py error and instruct_pix2pix_sdxl dataloader multiprocessing error are different scripts and bugs." + }, + { + "left": "issue:10317", + "right": "issue:8879", + "accept": false, + "reason": "torch.compile on StableVideoDiffusionPipeline with second image input is unrelated to StableDiffusionXL torch.compile+cudagraph failure." + }, + { + "left": "issue:3694", + "right": "issue:8885", + "accept": false, + "reason": "Pokemon text-to-image path/config loading problem is unrelated to custom diffusion install/modifier-token issues." + }, + { + "left": "issue:3382", + "right": "issue:3885", + "accept": false, + "reason": "Both discuss VRAM, but one is a multi-GPU OOM bug in training and the other asks for ways to reduce memory usage; not the same concrete defect." + }, + { + "left": "issue:255", + "right": "issue:2844", + "accept": false, + "reason": "StableDiffusionPipeline size-divisibility error is unrelated to StableUnCLIP image-embedding input handling." + }, + { + "left": "issue:6154", + "right": "issue:9856", + "accept": false, + "reason": "SDXL LoRA training on M2 Mac and a distributed port collision are unrelated environment/runtime issues." + }, + { + "left": "issue:4638", + "right": "issue:4885", + "accept": false, + "reason": "SDXL textual inversion loading failure and SDXL ControlNet img2img LoRA loading failure affect different code paths." + }, + { + "left": "issue:9320", + "right": "issue:9556", + "accept": false, + "reason": "Custom diffusion model save/load problems and rslora saved-model problems are both LoRA-related but not the same implementation or error." + }, + { + "left": "issue:4306", + "right": "issue:5544", + "accept": false, + "reason": "Reference pipeline list-index error and FreeU disable-on-not-enabled error are separate pipeline behaviors." + }, + { + "left": "issue:10144", + "right": "issue:11351", + "accept": false, + "reason": "Mochi video output quality complaint and Wan i2v processor dtype question are different models and issues." + }, + { + "left": "issue:4241", + "right": "issue:8485", + "accept": false, + "reason": "Support request for unidiffusers LoRA fine-tuning is not the same as a feature request for SD3 LoRA support." + }, + { + "left": "issue:4256", + "right": "issue:7619", + "accept": false, + "reason": "SDXL DreamBooth training error and DreamBooth number-of-channels error are related only by broad training scope; the concrete bugs differ." + }, + { + "left": "issue:5603", + "right": "issue:9410", + "accept": false, + "reason": "ImportError for is_safetensors_available and inability to import StableDiffusion3ControlNetInpaintingPipeline are different API/export breakages." + }, + { + "left": "issue:6112", + "right": "issue:7568", + "accept": false, + "reason": "SDXL-turbo noisy output and SDXL prompt-tokens interpolation question are unrelated." + }, + { + "left": "issue:4402", + "right": "issue:6610", + "accept": false, + "reason": "SDXL inpaint from_single_file usage error and num_in_channels ignored in the same API are different from_single_file problems." + }, + { + "left": "issue:3461", + "right": "issue:3584", + "accept": false, + "reason": "DreamBooth performance/memory comparison versus a tutorial failure are not the same bug or change." + }, + { + "left": "issue:3222", + "right": "issue:6176", + "accept": false, + "reason": "Missing custom diffusion weight file after training and LoRA load-after-training error are distinct save/load issues." + }, + { + "left": "issue:6107", + "right": "issue:7049", + "accept": false, + "reason": "IP-Adapter on AWS EC2 environment issue and IP adapter basic example unpacking error are different failure modes." + }, + { + "left": "issue:11014", + "right": "issue:2089", + "accept": false, + "reason": "General CUDA OOM on Colab A100 is not the same as DreamBooth AltDiffusion training OOM." + }, + { + "left": "issue:7431", + "right": "issue:9237", + "accept": false, + "reason": "DreamBooth with DoRA text encoder issues and Flux dreambooth LoRA training issues are separate model/training setups." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 114, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10302", + "issue:10608", + "issue:10795", + "issue:10972", + "issue:1100", + "issue:11133", + "issue:11247", + "issue:11642", + "issue:11702", + "issue:11989", + "issue:13281", + "issue:13488", + "issue:1363", + "issue:1614", + "issue:1709", + "issue:2359", + "issue:2495", + "issue:2603", + "issue:3097", + "issue:3631", + "issue:3764", + "issue:4241", + "issue:4788", + "issue:5254", + "issue:5540", + "issue:5670", + "issue:6096", + "issue:6283", + "issue:7159", + "issue:7168", + "issue:7221", + "issue:7441", + "issue:7480", + "issue:7616", + "issue:7682", + "issue:8511", + "issue:8556", + "issue:8644", + "issue:8673", + "issue:8708", + "issue:8828", + "issue:9187", + "issue:9514", + "issue:962", + "issue:9637", + "issue:9667", + "issue:9861", + "issue:9895" + ], + "soft_pairs": [ + "issue:11247|issue:7682", + "issue:8556|issue:8644", + "issue:10795|issue:7159", + "issue:5254|issue:962", + "issue:10972|issue:11702", + "issue:4788|issue:5540", + "issue:8673|issue:8708", + "issue:2603|issue:5670", + "issue:1100|issue:1709", + "issue:10302|issue:9895", + "issue:1614|issue:2495", + "issue:2359|issue:4241", + "issue:11133|issue:9637", + "issue:10608|issue:7441", + "issue:1363|issue:3631", + "issue:7221|issue:7616", + "issue:8511|issue:8828", + "issue:9187|issue:9861", + "issue:9514|issue:9667", + "issue:11642|issue:11989", + "issue:13281|issue:13488", + "issue:3764|issue:6096", + "issue:3097|issue:7480", + "issue:6283|issue:7168" + ], + "prepared_review_unit_hash": "d82fc07aafc5f9d6a2e0bc514384f14cc42425d7f5d66fdc909efed0f9dd8613", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34166, + "estimated_input_tokens": 8542, + "estimated_eval_tokens": 17340 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes offloading/device-mismatch regressions, LoRA loading failures, torch.compile issues, image-quality artifacts, and pipeline-specific bugs. None of the soft-similarity pairs look like the same underlying defect, so I would not merge any of them as duplicates.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:13488 is the best representative of the offloading/device-mismatch subset: it is broad, explicit about the regression, and the closest anchor for the few related offloading reports in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11247", + "right": "issue:7682", + "accept": false, + "reason": "Both mention multi-GPU distribution, but one is Flux+ControlNet device placement and the other is SD1.5 on weaker GPUs; different models, symptoms, and failure modes." + }, + { + "left": "issue:8556", + "right": "issue:8644", + "accept": false, + "reason": "Both involve meta tensor/offload errors in SD3 loading, but one is from_single_file and the other is separately loading the T5 encoder with sequential/model CPU offload; related area, not the same bug." + }, + { + "left": "issue:10795", + "right": "issue:7159", + "accept": false, + "reason": "Both mention torch.compile and models, but GGUF via from_single_file is a loader/quantization path while fused LoRA compile failure is a different code path." + }, + { + "left": "issue:5254", + "right": "issue:962", + "accept": false, + "reason": "Both are about inpaint pipelines, but one is multi-ControlNet support and the other is old size constraints in new inpaint pipelines; different feature requests/bugs." + }, + { + "left": "issue:10972", + "right": "issue:11702", + "accept": false, + "reason": "Both are LoRA-loading issues, but OneTrainer Flux LoRAs failing and AccVid LoRA key errors are different formats and different failure points." + }, + { + "left": "issue:4788", + "right": "issue:5540", + "accept": false, + "reason": "Both are memory-related, but one is SD XL inpaint on 6 GB VRAM and the other is generic inference OOM; too broad to treat as the same defect." + }, + { + "left": "issue:8673", + "right": "issue:8708", + "accept": false, + "reason": "One is missing SD3 attention masks; the other is a missing vae.config.shift_factor in training examples. Different subsystems and symptoms." + }, + { + "left": "issue:2603", + "right": "issue:5670", + "accept": false, + "reason": "Both concern non-square image generation, but they are different pipelines (Attend-And-Excite vs PixArtAlpha) and likely separate shape-handling bugs." + }, + { + "left": "issue:1100", + "right": "issue:1709", + "accept": false, + "reason": "The CLIPTextTransformer.device attribute issue is unrelated to the ONNX tensor.astype AttributeError; they are different backend/runtime errors." + }, + { + "left": "issue:10302", + "right": "issue:9895", + "accept": false, + "reason": "Both mention fp8/offloading noise or device issues, but one is inference noise without CPU offloading and the other is a device-mismatch regression after a specific commit; not the same concrete bug." + }, + { + "left": "issue:1614", + "right": "issue:2495", + "accept": false, + "reason": "Both produce black images, but one is SD 2.1 with autocast and the other is MPS upscale pipeline output; same symptom, different environment and likely different root cause." + }, + { + "left": "issue:2359", + "right": "issue:4241", + "accept": false, + "reason": "Latent output_type support in StableDiffusionImg2ImgPipeline is unrelated to fine-tuning unidiffusers with LoRA." + }, + { + "left": "issue:11133", + "right": "issue:9637", + "accept": false, + "reason": "Both are bugs, but cogvideox image-to-video pipeline and XFormers attention-mask/bfloat issues are unrelated code paths." + }, + { + "left": "issue:10608", + "right": "issue:7441", + "accept": false, + "reason": "Multi-GPU pipeline failure is unrelated to pytest not running on Python 3.12; no shared underlying bug." + }, + { + "left": "issue:1363", + "right": "issue:3631", + "accept": false, + "reason": "ONNX LMS scheduler error and inpainting latents exception are different pipeline/runtime failures." + }, + { + "left": "issue:7221", + "right": "issue:7616", + "accept": false, + "reason": "Both describe image artifacts/noise in Playground 2.5, but one is full noise with an FP16 model and the other is low-denoise img2img artifacts; not enough to merge." + }, + { + "left": "issue:8511", + "right": "issue:8828", + "accept": false, + "reason": "Both are SD3 training problems, but one is text-encoder unloading in Dreambooth/LoRA scripts and the other is a generic 16GB training error; too broad." + }, + { + "left": "issue:9187", + "right": "issue:9861", + "accept": false, + "reason": "IP-Adapter image encoder loading after Kolors update is unrelated to Flux training not updating the transformer model." + }, + { + "left": "issue:9514", + "right": "issue:9667", + "accept": false, + "reason": "Both involve Flux fp8 loading, but one is LoRA loading after fp8 quantization and the other is local transformer_flux.py model loading; different failure points." + }, + { + "left": "issue:11642", + "right": "issue:11989", + "accept": false, + "reason": "A missing prompt_embeds_scale effect in FluxPriorReduxPipeline is a different issue from black inference images in another setup." + }, + { + "left": "issue:13281", + "right": "issue:13488", + "accept": false, + "reason": "Both are offloading/device-mismatch themed, but one is torchao quantized qwen-image with use_stream=True and the other is a broader diffusers offloading regression; related area but not clearly the same concrete bug." + }, + { + "left": "issue:3764", + "right": "issue:6096", + "accept": false, + "reason": "Both mention torch.compile failures, but one is interpreter-shutdown futures scheduling and the other is SVD DynamicOutputShapeException; different failure mechanisms." + }, + { + "left": "issue:3097", + "right": "issue:7480", + "accept": false, + "reason": "Textual inversion doing nothing and DeepFloyd_IF OOM are unrelated issues." + }, + { + "left": "issue:6283", + "right": "issue:7168", + "accept": false, + "reason": "Zero-strength SDXL ControlNet img2img and IP-Adapter image embeddings shape confusion are distinct pipeline bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 115, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10025", + "issue:10712", + "issue:10797", + "issue:11208", + "issue:12535", + "issue:12565", + "issue:1500", + "issue:2161", + "issue:2554", + "issue:2704", + "issue:2780", + "issue:3065", + "issue:3238", + "issue:3468", + "issue:3761", + "issue:3915", + "issue:4094", + "issue:4282", + "issue:4419", + "issue:4468", + "issue:4520", + "issue:4578", + "issue:460", + "issue:5259", + "issue:5399", + "issue:5429", + "issue:5565", + "issue:5873", + "issue:5932", + "issue:6196", + "issue:6250", + "issue:6685", + "issue:6811", + "issue:7009", + "issue:7210", + "issue:7936", + "issue:7982", + "issue:8540", + "issue:861", + "issue:8788", + "issue:8886", + "issue:9023", + "issue:9306", + "issue:9343", + "issue:9497", + "issue:9803", + "issue:9895" + ], + "soft_pairs": [ + "issue:2704|issue:4282", + "issue:2780|issue:3238", + "issue:1500|issue:3761", + "issue:3468|issue:5565", + "issue:10712|issue:7210", + "issue:3065|issue:4094", + "issue:6196|issue:6250", + "issue:10025|issue:8886", + "issue:6811|issue:7009", + "issue:9306|issue:9895", + "issue:2161|issue:5399", + "issue:3915|issue:4520", + "issue:11208|issue:8788", + "issue:2554|issue:460", + "issue:10797|issue:7982", + "issue:5429|issue:8540", + "issue:5873|issue:6685", + "issue:12535|issue:12565", + "issue:9343|issue:9803", + "issue:5932|issue:9497", + "issue:3761|issue:861", + "issue:4419|issue:4578", + "issue:4468|issue:9023", + "issue:5259|issue:7936" + ], + "prepared_review_unit_hash": "c012819e3f73a7c989c11a9213d0ebdd8bb487c068cd97f2a9d026de5502f3c7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33588, + "estimated_input_tokens": 8397, + "estimated_eval_tokens": 17050 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of loosely related but distinct bug/feature reports across different pipelines and model families. I don\u2019t see any pair that is clearly the same underlying change or defect, so the soft edges should all be rejected. The most central issue to use as an anchor is the Flux attention-mask report.", + "confidence": 0.41, + "canonical_issue_reason": "issue:10025 is the most central and well-referenced item here (highest inbound references/discussion), and it\u2019s the broadest Flux attention-mask topic among the set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10025 is the best representative anchor for this noisy cluster because it is the most visible, broadly scoped Flux-related issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2704", + "right": "issue:4282", + "accept": false, + "reason": "Both mention Multi-ControlNet, but one is about batch processing and the other is a feature request to add the pipeline; different changes." + }, + { + "left": "issue:2780", + "right": "issue:3238", + "accept": false, + "reason": "LoRA FP16 gradient scaling during training is unrelated to converting LoRA safetensors to diffusers format." + }, + { + "left": "issue:1500", + "right": "issue:3761", + "accept": false, + "reason": "Both are community-pipeline related, but one is a compatibility break for a specific pipeline and the other is about loading multiple pipelines in one process." + }, + { + "left": "issue:3468", + "right": "issue:5565", + "accept": false, + "reason": "DreamBooth model_index.json generation is a different failure from not being able to run an SDXL LoRA DreamBooth script." + }, + { + "left": "issue:10712", + "right": "issue:7210", + "accept": false, + "reason": "Prompt-embed RuntimeError in SD3 is not the same as the accelerate named_parameters dispatch issue in SDXL." + }, + { + "left": "issue:3065", + "right": "issue:4094", + "accept": false, + "reason": "These are separate feature requests: tuning DreamBooth text encoder with LoRA versus adding a T2I adapter training script." + }, + { + "left": "issue:6196", + "right": "issue:6250", + "accept": false, + "reason": "ControlNetXS loading failure and SDXL VAE single-file KeyError are different model-loading problems." + }, + { + "left": "issue:10025", + "right": "issue:8886", + "accept": false, + "reason": "Both involve attention masks, but they affect different models and pipelines; not enough evidence of the same code-path bug." + }, + { + "left": "issue:6811", + "right": "issue:7009", + "accept": false, + "reason": "One is a missing model_index.json URL for i2vgen-xl, the other is poor results when loading a text-to-video model." + }, + { + "left": "issue:9306", + "right": "issue:9895", + "accept": false, + "reason": "Both are device-placement problems in different Flux/CogVideoX flows, but the concrete failure modes and code paths differ." + }, + { + "left": "issue:2161", + "right": "issue:5399", + "accept": false, + "reason": "Training LoRA on an inpainting model and a dtype mismatch during inpainting inference are distinct issues." + }, + { + "left": "issue:3915", + "right": "issue:4520", + "accept": false, + "reason": "torch.compile behavior for text-to-video pipelines is unrelated to LoRA scale not working with attention slicing." + }, + { + "left": "issue:11208", + "right": "issue:8788", + "accept": false, + "reason": "Both are SD3-related, but one is MultiControlNet support and the other is VAE tiling on non-power-of-two images." + }, + { + "left": "issue:2554", + "right": "issue:460", + "accept": false, + "reason": "An accelerate version requirement issue is unrelated to ONNX runtime selection for Stable Diffusion." + }, + { + "left": "issue:10797", + "right": "issue:7982", + "accept": false, + "reason": "Group offloading with HunyuanVideoPipeline and from_pipe with MultiControlNetModel are different pipeline-component failures." + }, + { + "left": "issue:5429", + "right": "issue:8540", + "accept": false, + "reason": "One is about supporting models without a VAE in examples, the other is about caching embeddings/VAE representations in SD3 DreamBooth training." + }, + { + "left": "issue:5873", + "right": "issue:6685", + "accept": false, + "reason": "ONNX export support for scaled_dot_product_attention has nothing in common with absolute-path handling in output_dir." + }, + { + "left": "issue:12535", + "right": "issue:12565", + "accept": false, + "reason": "Both are Wan i2v issues, but they target different model versions and different failures." + }, + { + "left": "issue:9343", + "right": "issue:9803", + "accept": false, + "reason": "Both are Flux loading failures, but one is about low_cpu_mem_usage/ignore_mismatched_sizes and the other is LoRA loading." + }, + { + "left": "issue:5932", + "right": "issue:9497", + "accept": false, + "reason": "A channel-mismatch error in SD inference is unrelated to a matrix-shape error in Flux DreamBooth training." + }, + { + "left": "issue:3761", + "right": "issue:861", + "accept": false, + "reason": "Loading multiple community pipelines and converting a ckpt model to diffusers are unrelated problems." + }, + { + "left": "issue:4419", + "right": "issue:4578", + "accept": false, + "reason": "SDXL offset-noise inference behavior is unrelated to a documentation issue about VAE usage." + }, + { + "left": "issue:4468", + "right": "issue:9023", + "accept": false, + "reason": "Multi-GPU performance differences and a generic sample-code failure are not the same bug." + }, + { + "left": "issue:5259", + "right": "issue:7936", + "accept": false, + "reason": "Missing model_index.json and invalid JSON from a local safetensors file are different file-loading errors." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 116, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10165", + "issue:10674", + "issue:10855", + "issue:10952", + "issue:10969", + "issue:11247", + "issue:11298", + "issue:11370", + "issue:1251", + "issue:1539", + "issue:1614", + "issue:2412", + "issue:2459", + "issue:2674", + "issue:307", + "issue:3431", + "issue:3487", + "issue:3566", + "issue:4080", + "issue:4256", + "issue:4306", + "issue:4324", + "issue:4398", + "issue:4436", + "issue:4488", + "issue:4806", + "issue:5502", + "issue:5607", + "issue:5621", + "issue:5689", + "issue:5886", + "issue:6008", + "issue:6107", + "issue:6382", + "issue:6482", + "issue:6520", + "issue:6914", + "issue:7310", + "issue:7782", + "issue:8405", + "issue:8440", + "issue:8507", + "issue:8626", + "issue:8667", + "issue:9187", + "issue:9362", + "issue:9546" + ], + "soft_pairs": [ + "issue:6382|issue:8626", + "issue:1539|issue:4806", + "issue:3487|issue:3566", + "issue:4324|issue:5502", + "issue:5886|issue:6914", + "issue:2459|issue:2674", + "issue:2412|issue:4256", + "issue:6482|issue:8507", + "issue:5607|issue:9362", + "issue:10855|issue:8440", + "issue:10969|issue:9546", + "issue:4436|issue:7782", + "issue:10674|issue:9187", + "issue:4398|issue:5689", + "issue:10165|issue:10952", + "issue:6520|issue:7310", + "issue:8405|issue:8667", + "issue:3431|issue:3487", + "issue:6008|issue:6107", + "issue:11247|issue:11298", + "issue:10674|issue:11370", + "issue:1251|issue:1614", + "issue:307|issue:4080", + "issue:4306|issue:6382", + "issue:4488|issue:5621" + ], + "prepared_review_unit_hash": "b02906b437950762c3a65782bc040bbaea8a5a66d48c6d3a64256cb213fdbbd8", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34016, + "estimated_input_tokens": 8504, + "estimated_eval_tokens": 17264 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a heterogeneous collection of unrelated issues; the soft pairs are superficial title matches rather than duplicate bug reports. No soft edge looks safe to merge, and there is no true canonical issue for the whole set.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue: the items span unrelated areas (LoRA, IP-Adapter, ControlNet, training scripts, conversion utilities, Flux/GGUF), so none safely subsumes the rest.", + "canonical_pr_reason": null, + "best_issue_reason": "If forced to pick one representative issue, #11298 is the strongest anchor because it is open, concrete, and has active discussion/inbound interest around a specific LoRA/PEFT hotswap failure.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6382", + "right": "issue:8626", + "accept": false, + "reason": "Both are IP-Adapter-related, but one is a key error during SDXL/LCM training+use and the other is guidance for multiple images/masks; different problem and scope." + }, + { + "left": "issue:1539", + "right": "issue:4806", + "accept": false, + "reason": "One is a conversion-script type bug, the other is a UNet2DModel parameter-type issue; they do not describe the same failure path." + }, + { + "left": "issue:3487", + "right": "issue:3566", + "accept": false, + "reason": "Both mention poor/unexpected results in inpainting/controlnet contexts, but the pipelines and symptoms differ and do not point to one concrete defect." + }, + { + "left": "issue:4324", + "right": "issue:5502", + "accept": false, + "reason": "A NoneType iteration crash in UNet forward is unrelated to fp16 support in train_custom_diffusion.py." + }, + { + "left": "issue:5886", + "right": "issue:6914", + "accept": false, + "reason": "Support request for IP-Adapter face model vs a cpu_offload AttributeError in FaceID; same family, different bug." + }, + { + "left": "issue:2459", + "right": "issue:2674", + "accept": false, + "reason": "xformers attention not working in one training script is separate from LoRA loading without safetensors being listed in requirements." + }, + { + "left": "issue:2412", + "right": "issue:4256", + "accept": false, + "reason": "Generic dreambooth error and SDXL Dreambooth training error are not enough to conclude the same underlying code-path bug." + }, + { + "left": "issue:6482", + "right": "issue:8507", + "accept": false, + "reason": "Resume-from-checkpoint FP16 unscale failure and SD3 text-encoder training failure are distinct training bugs." + }, + { + "left": "issue:5607", + "right": "issue:9362", + "accept": false, + "reason": "Tensor-size mismatch and out-of-bounds index errors are different runtime failures with no clear shared code-path." + }, + { + "left": "issue:10855", + "right": "issue:8440", + "accept": false, + "reason": "Gradient accumulation causing optimizer.step() every step is unrelated to FromOriginalModelMixin subclass ValueError." + }, + { + "left": "issue:10969", + "right": "issue:9546", + "accept": false, + "reason": "Zero3 training weight-shape failure and validation OOM in Flux ControlNet training are different failure modes." + }, + { + "left": "issue:4436", + "right": "issue:7782", + "accept": false, + "reason": "Both are conversion/loading issues, but one concerns CIVITAI safetensors with VAE and the other an invalid load key for a safetensors file; not the same bug." + }, + { + "left": "issue:10674", + "right": "issue:9187", + "accept": false, + "reason": "GGUF incompatibility with FluxPipeline and SDXL IP-Adapter breakage after Kolors update are separate integration problems." + }, + { + "left": "issue:4398", + "right": "issue:5689", + "accept": false, + "reason": "Black-image output in an SDXL LoRA-dreambooth pipeline is different from residual noise with DPM++." + }, + { + "left": "issue:10165", + "right": "issue:10952", + "accept": false, + "reason": "Seed preservation when changing LoRA scale and adapter-name lookup failure in SDXLLongPromptWeightingPipeline are unrelated LoRA issues." + }, + { + "left": "issue:6520", + "right": "issue:7310", + "accept": false, + "reason": "Blank validation output in adapter training and default-failure in SDXL text-to-image LoRA training are not the same defect." + }, + { + "left": "issue:8405", + "right": "issue:8667", + "accept": false, + "reason": "Multiple-controlnet tensor size error and SD3ControlNetModel mismatch on non-power-of-two images are distinct shape bugs." + }, + { + "left": "issue:3431", + "right": "issue:3487", + "accept": false, + "reason": "Both concern poor inpainting results, but one is ControlNet canny/hed quality and the other is EulerAncestralDiscreteScheduler behavior; too broad to merge." + }, + { + "left": "issue:6008", + "right": "issue:6107", + "accept": false, + "reason": "IP-Adapter Plus Face failing with LCM LoRA is not the same as an app working in Colab but not on AWS EC2." + }, + { + "left": "issue:11247", + "right": "issue:11298", + "accept": false, + "reason": "ControlNet multi-GPU distribution error for FluxTransformer2DModel and LoRA hotswapping PEFT key error are different code paths." + }, + { + "left": "issue:10674", + "right": "issue:11370", + "accept": false, + "reason": "FluxPipeline GGUF incompatibility and Hunyuan video conversion pickle/load-key failure are unrelated." + }, + { + "left": "issue:1251", + "right": "issue:1614", + "accept": false, + "reason": "Black image on MPS in RePaintPipeline and black images with autocast in SD2.1 are both black-output symptoms but not the same bug." + }, + { + "left": "issue:307", + "right": "issue:4080", + "accept": false, + "reason": "A broad refactor request to merge pipelines is not the same as adding an SDXL inpainting pipeline." + }, + { + "left": "issue:4306", + "right": "issue:6382", + "accept": false, + "reason": "StableDiffusionReferencePipeline list-index error and IP-Adapter key error after training do not share the same underlying failure." + }, + { + "left": "issue:4488", + "right": "issue:5621", + "accept": false, + "reason": "SDXL checkpoint conversion requiring pipeline_class and SDXL ControlNet encoder_hid_proj support are separate issues in different parts of the stack." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 117, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11199", + "issue:1125", + "issue:11343", + "issue:12052", + "issue:1524", + "issue:1536", + "issue:1616", + "issue:1925", + "issue:2156", + "issue:2324", + "issue:2609", + "issue:3045", + "issue:3154", + "issue:3223", + "issue:3346", + "issue:3540", + "issue:3613", + "issue:4109", + "issue:4185", + "issue:4389", + "issue:4460", + "issue:4504", + "issue:4641", + "issue:4667", + "issue:4697", + "issue:5152", + "issue:5524", + "issue:5630", + "issue:5703", + "issue:5886", + "issue:5889", + "issue:5997", + "issue:6196", + "issue:6460", + "issue:7053", + "issue:7421", + "issue:7483", + "issue:761", + "issue:8440", + "issue:8469", + "issue:8546", + "issue:8579", + "issue:8873", + "issue:8885", + "issue:9187", + "issue:9421", + "issue:9515", + "issue:9895" + ], + "soft_pairs": [ + "issue:4504|issue:4641", + "issue:5152|issue:5524", + "issue:5886|issue:8469", + "issue:5889|issue:6460", + "issue:8440|issue:8873", + "issue:4185|issue:5997", + "issue:3045|issue:7483", + "issue:12052|issue:9895", + "issue:4109|issue:7421", + "issue:8546|issue:8579", + "issue:11199|issue:11343", + "issue:2609|issue:4460", + "issue:3154|issue:3223", + "issue:3540|issue:4667", + "issue:2156|issue:3613", + "issue:1125|issue:1925", + "issue:5630|issue:5703", + "issue:7053|issue:9515", + "issue:1524|issue:3346", + "issue:1536|issue:1616", + "issue:2324|issue:761", + "issue:8885|issue:9421", + "issue:4389|issue:6196", + "issue:4697|issue:9187" + ], + "prepared_review_unit_hash": "8c3d067a7420f89edf316d2ccf01ffaabbfbdc7e95aecb1d442c382a765eed8d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33806, + "estimated_input_tokens": 8452, + "estimated_eval_tokens": 17160 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated issues that only share broad lexical similarity (import/loading/offloading/Lora/ControlNet). Only the LPW pipeline compatibility pair looks like a likely true duplicate; the rest should stay separate.", + "confidence": 0.94, + "canonical_issue_reason": "Issue 1536 is the best representative of the only clear duplicate-like subthread: LPW pipeline compatibility with newer Diffusers versions.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1536 has the strongest duplicate signal and is the most general statement of the LPW compatibility regression shared with 1616.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4504", + "right": "issue:4641", + "accept": false, + "reason": "Both are LoRA-loading related, but one is a specific local-variable crash and the other is a broader local-file loading failure; not the same bug." + }, + { + "left": "issue:5152", + "right": "issue:5524", + "accept": false, + "reason": "Same model family (W\u00fcrstchen) but different problems: a general alpha bug versus a specific lora_layer attribute error while loading." + }, + { + "left": "issue:5886", + "right": "issue:8469", + "accept": false, + "reason": "One is a feature request for face support in IP-Adapter; the other is a broken-face output bug on a specific SD15 face model." + }, + { + "left": "issue:5889", + "right": "issue:6460", + "accept": false, + "reason": "Different pipelines and symptoms: Stable Video Diffusion request vs endless loading for stable-diffusion-inpainting." + }, + { + "left": "issue:8440", + "right": "issue:8873", + "accept": false, + "reason": "Unrelated issues: a FromOriginalModelMixin subclass ValueError versus xformers being slower on A100." + }, + { + "left": "issue:4185", + "right": "issue:5997", + "accept": false, + "reason": "Both mention SDXL ControlNet, but one is black images at inference while the other is a tutorial/model-type mismatch during loading." + }, + { + "left": "issue:3045", + "right": "issue:7483", + "accept": false, + "reason": "Both concern LoRA conversion, but 7483 is a specific SDXL-base-model failure and 3045 is a generic conversion request." + }, + { + "left": "issue:12052", + "right": "issue:9895", + "accept": false, + "reason": "Both are device-mismatch/offloading symptoms, but they affect different pipelines and likely different code paths." + }, + { + "left": "issue:4109", + "right": "issue:7421", + "accept": false, + "reason": "Different failures in different pipelines: SDXL inpaint not working vs seed handling in StableDiffusionXLKDiffusionPipeline." + }, + { + "left": "issue:8546", + "right": "issue:8579", + "accept": false, + "reason": "Both are SD3-related, but one is missing from-single-file support and the other is nonfunctional LoRA support." + }, + { + "left": "issue:11199", + "right": "issue:11343", + "accept": false, + "reason": "Both are import errors, but 11199 is a specific onnx_utils import failure while 11343 is a broad post-transformers import regression." + }, + { + "left": "issue:2609", + "right": "issue:4460", + "accept": false, + "reason": "Different topics: a Canny ControlNet checkpoint request versus output differences between Stable Diffusion and diffusers." + }, + { + "left": "issue:3154", + "right": "issue:3223", + "accept": false, + "reason": "Both involve memory, but one is failure to offload to disk and the other is RAM not being cleared after moving to CUDA." + }, + { + "left": "issue:3540", + "right": "issue:4667", + "accept": false, + "reason": "Different pipelines and errors: prompt embeds handling in TextToVideoZeroPipeline versus from_single_file failing in StableDiffusionPipeline." + }, + { + "left": "issue:2156", + "right": "issue:3613", + "accept": false, + "reason": "Opposite DreamBooth resource problems: CPU-only training versus out-of-GPU-memory with torch 2.0." + }, + { + "left": "issue:1125", + "right": "issue:1925", + "accept": false, + "reason": "Both are inpainting-related, but one is a runtime error and the other is half-precision not working; no clear same bug." + }, + { + "left": "issue:5630", + "right": "issue:5703", + "accept": false, + "reason": "Both mention schedulers/noise, but the tasks differ: leftover noise in SDXL Img2Img vs ddim_inverse noise reconstruction." + }, + { + "left": "issue:7053", + "right": "issue:9515", + "accept": false, + "reason": "Different model internals: missing class conditioning in UNet3DConditionModel versus missing RMSNorm in SD3 attention." + }, + { + "left": "issue:1524", + "right": "issue:3346", + "accept": false, + "reason": "Unrelated DreamBooth/textual inversion issues: poor SD2.0 training quality versus resume_from_checkpoint support." + }, + { + "left": "issue:1536", + "right": "issue:1616", + "accept": true, + "reason": "Both describe the same LPW pipeline compatibility break with newer Diffusers releases, just from different entry points." + }, + { + "left": "issue:2324", + "right": "issue:761", + "accept": false, + "reason": "Different DreamBooth training bugs: instance data not being read versus failure with 8-bit Adam." + }, + { + "left": "issue:8885", + "right": "issue:9421", + "accept": false, + "reason": "Different issues entirely: clip-retrieval/custom diffusion example setup versus access to runwayml/stable-diffusion-inpainting." + }, + { + "left": "issue:4389", + "right": "issue:6196", + "accept": false, + "reason": "Both are loading errors, but they target different model classes (ControlNetModel vs ControlNetXS Depth SDXL) and likely different causes." + }, + { + "left": "issue:4697", + "right": "issue:9187", + "accept": false, + "reason": "Different LoRA/IP-Adapter regressions in different releases and contexts; not the same concrete bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and stays conservative on the soft-edge pairs. The LPW pair (1536/1616) is the only one that plausibly reflects the same compatibility regression, and the other rejected pairs are appropriately treated as separate issues based on their titles and problem descriptions. No overstatement or mergeability issue is apparent." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 118, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10392", + "issue:10421", + "issue:10653", + "issue:11135", + "issue:11148", + "issue:11182", + "issue:11418", + "issue:11702", + "issue:12011", + "issue:12012", + "issue:12052", + "issue:12499", + "issue:12529", + "issue:12657", + "issue:13001", + "issue:13140", + "issue:1363", + "issue:1717", + "issue:2185", + "issue:2534", + "issue:2659", + "issue:2830", + "issue:3296", + "issue:3454", + "issue:3651", + "issue:3706", + "issue:3826", + "issue:3871", + "issue:4194", + "issue:4303", + "issue:4306", + "issue:4340", + "issue:4664", + "issue:4779", + "issue:4852", + "issue:5016", + "issue:5150", + "issue:5153", + "issue:5442", + "issue:6460", + "issue:6821", + "issue:6949", + "issue:7133", + "issue:7333", + "issue:7431", + "issue:7793", + "issue:7851", + "issue:9527" + ], + "soft_pairs": [ + "issue:1717|issue:4303", + "issue:4340|issue:5016", + "issue:4852|issue:7793", + "issue:3296|issue:4664", + "issue:4306|issue:7851", + "issue:11702|issue:13001", + "issue:10421|issue:10653", + "issue:10392|issue:11418", + "issue:12657|issue:13140", + "issue:3454|issue:3651", + "issue:11182|issue:9527", + "issue:5153|issue:5442", + "issue:2185|issue:3871", + "issue:7133|issue:7431", + "issue:11135|issue:3826", + "issue:2659|issue:6949", + "issue:12499|issue:12529", + "issue:3871|issue:6821", + "issue:12011|issue:12052", + "issue:4194|issue:5150", + "issue:2830|issue:7333", + "issue:3706|issue:6460", + "issue:4779|issue:7333", + "issue:11148|issue:12012", + "issue:1363|issue:2534" + ], + "prepared_review_unit_hash": "481eb83ebee15200fabc9d5426f75f0836d1770b96e732acda478cba7ef50da2", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34248, + "estimated_input_tokens": 8562, + "estimated_eval_tokens": 17380 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the proposed soft edges mostly connect unrelated issues that merely share broad keywords like \"LoRA\", \"Wan 2.2\", or \"pipeline\". I do not see a true duplicate cluster here.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1717", + "right": "issue:4303", + "accept": false, + "reason": "Offline cached-model loading and a Flax SDXL load crash are different failure modes in different code paths." + }, + { + "left": "issue:4340", + "right": "issue:5016", + "accept": false, + "reason": "Both mention SDXL LoRA/text encoder, but one is a training error and the other is a loading/adapter-state bug." + }, + { + "left": "issue:4852", + "right": "issue:7793", + "accept": false, + "reason": "Generic LoRA loading error vs DeepFloyd LoRA unload error; different models and operations." + }, + { + "left": "issue:3296", + "right": "issue:4664", + "accept": false, + "reason": "Checkpoint save/load with text_encoder is unrelated to SDXL LoRA loading on a differently named pipeline." + }, + { + "left": "issue:4306", + "right": "issue:7851", + "accept": false, + "reason": "List-index error in a reference pipeline is not the same as an out-of-bounds error on concurrent calls." + }, + { + "left": "issue:11702", + "right": "issue:13001", + "accept": false, + "reason": "AccVid LoRA key mismatch and Flux GGUF shape mismatch are different models and different data-loading bugs." + }, + { + "left": "issue:10421", + "right": "issue:10653", + "accept": false, + "reason": "A CPU memory leak when moving pipelines to multiple GPUs is distinct from an unsupported bitsandbytes .to(cpu) path." + }, + { + "left": "issue:10392", + "right": "issue:11418", + "accept": false, + "reason": "One is a Flux-dev-fp8 compatibility issue, the other is a request to add a specific fp8 safetensors file." + }, + { + "left": "issue:12657", + "right": "issue:13140", + "accept": false, + "reason": "Quantized Qwen Image Edit regression and a NoneType TypeError in Qwen Edit Plus are different bugs." + }, + { + "left": "issue:3454", + "right": "issue:3651", + "accept": false, + "reason": "Both are dreambooth-related, but one is a latest-version script failure and the other is a multi-GPU training problem." + }, + { + "left": "issue:11182", + "right": "issue:9527", + "accept": false, + "reason": "Unnecessary BF16 download and controlnet/mainpipe dtype mismatch are separate loading vs execution issues." + }, + { + "left": "issue:5153", + "right": "issue:5442", + "accept": false, + "reason": "FreeU is a technique proposal; ScaleCrafter is a different pipeline proposal with no shared bug/change." + }, + { + "left": "issue:2185", + "right": "issue:3871", + "accept": false, + "reason": "Missing config files for training and checkpoint-resume errors are unrelated training setup problems." + }, + { + "left": "issue:7133", + "right": "issue:7431", + "accept": false, + "reason": "Both involve Dreambooth LoRA, but one is resume size mismatch in text encoders and the other is DoRA training with text encoder." + }, + { + "left": "issue:11135", + "right": "issue:3826", + "accept": false, + "reason": "Two different new pipeline proposals; same general area, but not the same underlying change." + }, + { + "left": "issue:2659", + "right": "issue:6949", + "accept": false, + "reason": "Batch-size-dependent image variation is not the same bug as even-step blank images from a scheduler issue." + }, + { + "left": "issue:12499", + "right": "issue:12529", + "accept": false, + "reason": "Both are Wan 2.2 issues, but one is a condition-shape mismatch and the other is a tiled-VAE tensor-size mismatch." + }, + { + "left": "issue:3871", + "right": "issue:6821", + "accept": false, + "reason": "Checkpoint-resume training error and caption_column validation error are unrelated failures." + }, + { + "left": "issue:12011", + "right": "issue:12052", + "accept": false, + "reason": "Same model family, but OOM in i2v and cross-device tensor multiplication under offloading are different root causes." + }, + { + "left": "issue:4194", + "right": "issue:5150", + "accept": false, + "reason": "Both mention from_single_file support, but for different pipelines and different missing functionality." + }, + { + "left": "issue:2830", + "right": "issue:7333", + "accept": false, + "reason": "A usage question about image/text-to-video is not the same as a specific image-to-video generation technique proposal." + }, + { + "left": "issue:3706", + "right": "issue:6460", + "accept": false, + "reason": "A new model announcement and an endless-loading bug on inpainting are unrelated." + }, + { + "left": "issue:4779", + "right": "issue:7333", + "accept": false, + "reason": "A pipeline request and a separate image-to-video research issue are not the same concrete change." + }, + { + "left": "issue:11148", + "right": "issue:12012", + "accept": false, + "reason": "A PEFT adapter state bug and a Wan 2.2 context error are different code paths and symptoms." + }, + { + "left": "issue:1363", + "right": "issue:2534", + "accept": false, + "reason": "Both mention schedulers, but the ONNX long-prompt error and the DPM/UniPC scheduler-switch error are different issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 119, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1013", + "issue:1055", + "issue:11006", + "issue:12012", + "issue:1261", + "issue:1565", + "issue:1643", + "issue:2324", + "issue:2361", + "issue:2465", + "issue:3468", + "issue:3584", + "issue:3970", + "issue:3984", + "issue:4117", + "issue:4134", + "issue:4236", + "issue:4303", + "issue:4634", + "issue:4704", + "issue:4969", + "issue:50", + "issue:5012", + "issue:5150", + "issue:5219", + "issue:5259", + "issue:5395", + "issue:5433", + "issue:5436", + "issue:5458", + "issue:5515", + "issue:5607", + "issue:5628", + "issue:6092", + "issue:6224", + "issue:6297", + "issue:6790", + "issue:6934", + "issue:7223", + "issue:730", + "issue:7333", + "issue:7682", + "issue:785", + "issue:8277", + "issue:8477", + "issue:8939", + "issue:9167", + "issue:9780" + ], + "soft_pairs": [ + "issue:1013|issue:3970", + "issue:2324|issue:2465", + "issue:4236|issue:5433", + "issue:5436|issue:6092", + "issue:11006|issue:12012", + "issue:1565|issue:8939", + "issue:7682|issue:9780", + "issue:8277|issue:8477", + "issue:4634|issue:4704", + "issue:5219|issue:6934", + "issue:5395|issue:5628", + "issue:5012|issue:6297", + "issue:1261|issue:3584", + "issue:2361|issue:6224", + "issue:1055|issue:50", + "issue:1261|issue:4117", + "issue:3468|issue:5259", + "issue:3984|issue:785", + "issue:4134|issue:5607", + "issue:4303|issue:8939", + "issue:4969|issue:9167", + "issue:5150|issue:5458", + "issue:5515|issue:6790", + "issue:7223|issue:7333", + "issue:1643|issue:730" + ], + "prepared_review_unit_hash": "4f102dc42dd88d6ae3c6e0e26d3b83d43cb4ea6d09578f4fdf87f7beb268dc50", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34761, + "estimated_input_tokens": 8691, + "estimated_eval_tokens": 17638 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most soft pairs are not true duplicates: they share a broad subsystem like DreamBooth, SDXL, or video generation, but describe different failures and code paths. Two pairs look like clear duplicates: the missing LatentDiffusionPipeline symbol, and the missing model_index.json after DreamBooth export.", + "confidence": 0.82, + "canonical_issue_reason": "Issue 50 is the best canonical issue: it states the underlying missing LatentDiffusionPipeline problem most directly, and issue 1055 appears to be the same report in different wording.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 50 is the strongest overall issue representative because it is concise, specific, and matches a clear duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1013", + "right": "issue:3970", + "accept": false, + "reason": "Different pipelines and different failures; one is StableDiffusionMegaPipeline/Diffusers 6.0, the other is SDXL prompt embeddings." + }, + { + "left": "issue:2324", + "right": "issue:2465", + "accept": false, + "reason": "One is a training bug reading instance data; the other is a request for a reproducible recipe." + }, + { + "left": "issue:4236", + "right": "issue:5433", + "accept": false, + "reason": "Both involve SDXL/refiner, but the symptoms and likely code paths differ: text encoder registration vs image artifacts with schedulers." + }, + { + "left": "issue:5436", + "right": "issue:6092", + "accept": false, + "reason": "Different training scripts and failures; ControlNet XL example error is not the same as LoRA example not training." + }, + { + "left": "issue:11006", + "right": "issue:12012", + "accept": false, + "reason": "Both are Wan video issues, but they involve different pipeline versions and different failure modes (broken output vs context state error)." + }, + { + "left": "issue:1565", + "right": "issue:8939", + "accept": false, + "reason": "Unrelated problems: GPU selection/out-of-memory vs tokenizer loading for SD3." + }, + { + "left": "issue:7682", + "right": "issue:9780", + "accept": false, + "reason": "Different model families and errors; multi-GPU SD1.5 runtime issues are not the same as SD3.5 attribute loading errors." + }, + { + "left": "issue:8277", + "right": "issue:8477", + "accept": false, + "reason": "One reports non-convergence; the other is a DistributedDataParallel runtime error. Same training area, different bug." + }, + { + "left": "issue:4634", + "right": "issue:4704", + "accept": false, + "reason": "Custom Diffusion is the common area, but safe serialization and training-script failure are different concrete issues." + }, + { + "left": "issue:5219", + "right": "issue:6934", + "accept": false, + "reason": "Related to SDXL conversion/loading, but one is a load failure and the other is a conversion-format bug; not clearly the same underlying defect." + }, + { + "left": "issue:5395", + "right": "issue:5628", + "accept": false, + "reason": "Unrelated subsystems: LoRA merging vs scheduler offset behavior." + }, + { + "left": "issue:5012", + "right": "issue:6297", + "accept": false, + "reason": "Both are LoRA training-related, but they affect different SDXL training scripts and different failure modes." + }, + { + "left": "issue:1261", + "right": "issue:3584", + "accept": false, + "reason": "Xformers backward-pass assert is unrelated to a DreamBooth tutorial failure." + }, + { + "left": "issue:2361", + "right": "issue:6224", + "accept": false, + "reason": "Checkpoint-saving crash and TorchDynamo fine-tuning issue are different problems." + }, + { + "left": "issue:1055", + "right": "issue:50", + "accept": true, + "reason": "Same underlying bug: the LatentDiffusionPipeline symbol is missing/absent, with matching user-facing error wording." + }, + { + "left": "issue:1261", + "right": "issue:4117", + "accept": false, + "reason": "Different bugs: xformers attention backward failure vs DreamBooth not working with SDXL." + }, + { + "left": "issue:3468", + "right": "issue:5259", + "accept": true, + "reason": "Both describe the same missing model_index.json problem when trying to use a DreamBooth/exported pipeline." + }, + { + "left": "issue:3984", + "right": "issue:785", + "accept": false, + "reason": "Completely different issues: class label validation vs scheduler performance." + }, + { + "left": "issue:4134", + "right": "issue:5607", + "accept": false, + "reason": "Both mention tensor-size mismatches, but the model/context and failure details are too different to treat as the same bug." + }, + { + "left": "issue:4303", + "right": "issue:8939", + "accept": false, + "reason": "Different model-loading failures in different frameworks/models; not the same code path." + }, + { + "left": "issue:4969", + "right": "issue:9167", + "accept": false, + "reason": "Import errors for different classes (CrossAttention vs StableDiffusion3Pipeline) are not the same defect." + }, + { + "left": "issue:5150", + "right": "issue:5458", + "accept": false, + "reason": "Missing from_single_file support and local_files_only behavior are unrelated API issues." + }, + { + "left": "issue:5515", + "right": "issue:6790", + "accept": false, + "reason": "Different LCM issues: initialization without scheduler vs unexpected state_dict keys during training." + }, + { + "left": "issue:7223", + "right": "issue:7333", + "accept": false, + "reason": "One is a feature request to add Latte; the other is a bug report about image-to-video generation quality." + }, + { + "left": "issue:1643", + "right": "issue:730", + "accept": false, + "reason": "Unrelated DreamBooth complaints: xformers method signature mismatch vs local training not learning." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded overall: the canonical issue choice is well supported by the titles/body, and the only accepted duplicate pairs are the two that clearly match the same underlying bug. The remaining soft pairs are rejected conservatively, usually because they share only a broad subsystem and not the same failure mode." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 120, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10382", + "issue:10823", + "issue:10963", + "issue:10986", + "issue:11062", + "issue:11127", + "issue:11136", + "issue:11359", + "issue:11569", + "issue:11709", + "issue:12012", + "issue:1434", + "issue:1643", + "issue:2081", + "issue:2161", + "issue:222", + "issue:2673", + "issue:2728", + "issue:3174", + "issue:3325", + "issue:3453", + "issue:4104", + "issue:4250", + "issue:4255", + "issue:4389", + "issue:4551", + "issue:4639", + "issue:4724", + "issue:4788", + "issue:4892", + "issue:4911", + "issue:5016", + "issue:5558", + "issue:5760", + "issue:5840", + "issue:6492", + "issue:6517", + "issue:6598", + "issue:7146", + "issue:8432", + "issue:8787", + "issue:8788", + "issue:8960", + "issue:9055", + "issue:9096", + "issue:9613", + "issue:9768", + "issue:9856" + ], + "soft_pairs": [ + "issue:8787|issue:9613", + "issue:9096|issue:9768", + "issue:11136|issue:8788", + "issue:4104|issue:6492", + "issue:3325|issue:4639", + "issue:12012|issue:9856", + "issue:10382|issue:8960", + "issue:10986|issue:11709", + "issue:1643|issue:4551", + "issue:11062|issue:11127", + "issue:2081|issue:2673", + "issue:10823|issue:7146", + "issue:4255|issue:6598", + "issue:2161|issue:3174", + "issue:10963|issue:8432", + "issue:11359|issue:11569", + "issue:1434|issue:4788", + "issue:4724|issue:5558", + "issue:6517|issue:9055", + "issue:5016|issue:5840", + "issue:2728|issue:4250", + "issue:4892|issue:5760", + "issue:4389|issue:4911", + "issue:222|issue:3453" + ], + "prepared_review_unit_hash": "e73d008078c52efce5b0ebb1e8474373eb6727cbcfd2fa3b10bea37ed8432fe7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34638, + "estimated_input_tokens": 8660, + "estimated_eval_tokens": 17576 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a noisy, mostly unrelated issue set. The soft pairs share only broad topical similarity (loading, training, OOM, NaNs, black images), not the same concrete bug path, so none should be deduplicated.", + "confidence": 0.89, + "canonical_issue_reason": "Issue 4250 is the broadest generic loading report, so it is the least-bad anchor if a single canonical issue must be chosen, but the set is too heterogeneous for a real duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4250 is the most generic and reusable issue title in the set; it is the best global issue candidate only in a weak, forced sense.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8787", + "right": "issue:9613", + "accept": false, + "reason": "Both mention model-loading/version-related failures, but one is slow loading while the other is a Timesteps attribute error; different bugs." + }, + { + "left": "issue:9096", + "right": "issue:9768", + "accept": false, + "reason": "Both involve NaNs, but one is Flux half-precision inference and the other is a torch 2.5 SDPA/CuDNN backend issue; not the same code path." + }, + { + "left": "issue:11136", + "right": "issue:8788", + "accept": false, + "reason": "These are different pipeline limitations: SCM timestep support versus SD3 VAE tiling on non-power-of-two images." + }, + { + "left": "issue:4104", + "right": "issue:6492", + "accept": false, + "reason": "Both report black images, but the stated failures and likely causes differ; symptom overlap alone is not enough." + }, + { + "left": "issue:3325", + "right": "issue:4639", + "accept": false, + "reason": "Both are training-time errors, but they hit different scripts and failure modes (CUDA invalid argument vs dataloader multiprocessing)." + }, + { + "left": "issue:12012", + "right": "issue:9856", + "accept": false, + "reason": "Wan 2.2 caching context errors and a distributed port conflict are unrelated." + }, + { + "left": "issue:10382", + "right": "issue:8960", + "accept": false, + "reason": "Encoder return-type mismatch in VAE forward is unrelated to gradient accumulation not working." + }, + { + "left": "issue:10986", + "right": "issue:11709", + "accept": false, + "reason": "ComplexDouble-on-MPS conversion errors and LoRA key errors are different inference/loading bugs." + }, + { + "left": "issue:1643", + "right": "issue:4551", + "accept": false, + "reason": "Both mention dreambooth, but one is a method signature mismatch and the other is an SDXL crash; different issues." + }, + { + "left": "issue:11062", + "right": "issue:11127", + "accept": false, + "reason": "Both are CivitAI model-loading reports, but they involve different model types and distinct loader failures." + }, + { + "left": "issue:2081", + "right": "issue:2673", + "accept": false, + "reason": "JAX weight conversion problems and upscale pipeline config/input errors are unrelated." + }, + { + "left": "issue:10823", + "right": "issue:7146", + "accept": false, + "reason": "Training file/output packaging and CUDA OOM during fine-tuning are different problems." + }, + { + "left": "issue:4255", + "right": "issue:6598", + "accept": false, + "reason": "Both compare Diffusers against other tooling, but one is general quality mismatch and the other is a specific img2img reproducibility issue." + }, + { + "left": "issue:2161", + "right": "issue:3174", + "accept": false, + "reason": "Both involve LoRA, but one is LoRA training on inpainting and the other is a loading break from new LoRA features." + }, + { + "left": "issue:10963", + "right": "issue:8432", + "accept": false, + "reason": "Different import failures for different classes; same package area, not the same bug." + }, + { + "left": "issue:11359", + "right": "issue:11569", + "accept": false, + "reason": "Both are about LTX-Video, but one requests faster inference and the other requests a diffusers repo for a distilled model." + }, + { + "left": "issue:1434", + "right": "issue:4788", + "accept": false, + "reason": "Both are OOM reports, but they affect different pipelines and scenarios." + }, + { + "left": "issue:4724", + "right": "issue:5558", + "accept": false, + "reason": "Both are SDXL pipeline problems, but one is img2img behavior with a base checkpoint and the other is ControlNet inpaint artifacts with multiple ControlNets." + }, + { + "left": "issue:6517", + "right": "issue:9055", + "accept": false, + "reason": "Both are import errors, but they target different modules and symbols." + }, + { + "left": "issue:5016", + "right": "issue:5840", + "accept": false, + "reason": "Both are train_dreambooth_lora_sdxl issues, but one is about text encoder training and the other is checkpoint resume/freezing behavior." + }, + { + "left": "issue:2728", + "right": "issue:4250", + "accept": false, + "reason": "Both involve model loading, but one is a safetensors UNet load failure and the other is a generic from_pretrained complaint." + }, + { + "left": "issue:4892", + "right": "issue:5760", + "accept": false, + "reason": "Both are research pipelines, but they are entirely different models and tasks." + }, + { + "left": "issue:4389", + "right": "issue:4911", + "accept": false, + "reason": "Both are loading errors, but one is ControlNetModel import/load and the other is custom text_encoder loading from_single_file." + }, + { + "left": "issue:222", + "right": "issue:3453", + "accept": false, + "reason": "Both are runtime training errors, but the underlying failures are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 121, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10049", + "issue:10428", + "issue:10446", + "issue:10797", + "issue:1166", + "issue:12108", + "issue:12458", + "issue:1367", + "issue:1922", + "issue:2036", + "issue:2132", + "issue:2218", + "issue:2375", + "issue:2560", + "issue:2844", + "issue:3363", + "issue:3450", + "issue:3871", + "issue:4030", + "issue:4241", + "issue:4566", + "issue:5510", + "issue:5558", + "issue:5605", + "issue:5931", + "issue:6323", + "issue:6354", + "issue:6570", + "issue:6636", + "issue:7000", + "issue:7056", + "issue:7347", + "issue:746", + "issue:8435", + "issue:9063", + "issue:9089", + "issue:9096", + "issue:9187", + "issue:9415", + "issue:9450", + "issue:9515", + "issue:9660", + "issue:9810", + "issue:9856", + "issue:9895", + "issue:9911", + "issue:993" + ], + "soft_pairs": [ + "issue:7056|issue:9415", + "issue:2132|issue:3363", + "issue:9515|issue:9810", + "issue:3450|issue:5931", + "issue:5605|issue:6354", + "issue:7000|issue:9096", + "issue:4030|issue:8435", + "issue:10049|issue:6636", + "issue:10446|issue:9450", + "issue:9856|issue:9911", + "issue:1922|issue:2375", + "issue:10797|issue:9187", + "issue:4566|issue:7347", + "issue:4241|issue:6354", + "issue:2844|issue:3871", + "issue:2560|issue:5558", + "issue:10428|issue:9895", + "issue:1367|issue:746", + "issue:1166|issue:2218", + "issue:2036|issue:993", + "issue:9063|issue:9089", + "issue:5510|issue:6570", + "issue:6323|issue:9660", + "issue:12108|issue:12458" + ], + "prepared_review_unit_hash": "9f7dd3f506f6465fbce5bdfd6dfa6f285b677a2b44d5425eae29b3dd3f9b0bae", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33860, + "estimated_input_tokens": 8465, + "estimated_eval_tokens": 17186 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No strong duplicates here; most soft pairs only share a broad subsystem (often Flux, LoRA, or pipeline training) but describe different bugs or feature requests. I\u2019d keep the most concrete Flux regression issue as the representative issue, and there are no PRs in this set.", + "confidence": 0.79, + "canonical_issue_reason": "issue:9895 is the strongest representative issue: it has a precise FluxPipeline device-mismatch failure and an explicit regression trigger tied to a commit, making it the clearest high-signal bug report in the set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9895 is the best single issue to anchor this cluster because it is concrete, reproducible, and points to a specific regression path; the other issues are narrower, older, or about different model families and failure modes.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7056", + "right": "issue:9415", + "accept": false, + "reason": "Different models and bugs: SDXL LoRA fine-tuning with train_text_encoder vs a CogVideoXTransformer3DModel parameter error." + }, + { + "left": "issue:2132", + "right": "issue:3363", + "accept": false, + "reason": "Both involve DreamBooth scripts, but one is a missing Accelerator attribute and the other is a machine-specific training failure; not the same bug." + }, + { + "left": "issue:9515", + "right": "issue:9810", + "accept": false, + "reason": "Unrelated changes: missing RMSNorm in JointAttnProcessor2_0 vs LoRA module_to_save support." + }, + { + "left": "issue:3450", + "right": "issue:5931", + "accept": false, + "reason": "Loading from_ckpt failing is a different problem from nondeterministic generation." + }, + { + "left": "issue:5605", + "right": "issue:6354", + "accept": false, + "reason": "Feature requests in different areas: per-image captions for SDXL DreamBooth vs LoRA support for ControlNet." + }, + { + "left": "issue:7000", + "right": "issue:9096", + "accept": false, + "reason": "A PyTorch deprecation warning is not the same as Flux half-precision NaN inference." + }, + { + "left": "issue:4030", + "right": "issue:8435", + "accept": false, + "reason": "Different runtime paths: SD 2.1 embedding error vs from_single_file loading error." + }, + { + "left": "issue:10049", + "right": "issue:6636", + "accept": false, + "reason": "Both are import failures, but they concern different symbols and different root causes." + }, + { + "left": "issue:10446", + "right": "issue:9450", + "accept": false, + "reason": "Both are Flux multi-GPU-related, but one is FluxControlNetPipeline sharding incompatibility and the other is a FluxPipeline transformer device-mismatch issue; not clearly the same concrete bug." + }, + { + "left": "issue:9856", + "right": "issue:9911", + "accept": false, + "reason": "Distributed port conflict and Flux multi-ControlNet layer-length mismatch are unrelated." + }, + { + "left": "issue:1922", + "right": "issue:2375", + "accept": false, + "reason": "Notebook NameError for init_git_repo vs safe_open NameError are different missing-symbol issues." + }, + { + "left": "issue:10797", + "right": "issue:9187", + "accept": false, + "reason": "Different pipelines and failures: HunyuanVideo group offloading vs SDXL IP-Adapter regression after Kolors update." + }, + { + "left": "issue:4566", + "right": "issue:7347", + "accept": false, + "reason": "Checkpoint resume failure in SDXL LoRA training is not the same as a generic training failure after an update." + }, + { + "left": "issue:4241", + "right": "issue:6354", + "accept": false, + "reason": "A request for unidiffusers LoRA fine-tuning is not a duplicate of adding LoRA support for ControlNet." + }, + { + "left": "issue:2844", + "right": "issue:3871", + "accept": false, + "reason": "StableUnCLIP image-embedding runtime error and checkpoint-resume training error are different bugs." + }, + { + "left": "issue:2560", + "right": "issue:5558", + "accept": false, + "reason": "Different symptoms and code paths: generator-list nondeterminism vs multi-ControlNet inpaint artifacts." + }, + { + "left": "issue:10428", + "right": "issue:9895", + "accept": false, + "reason": "Both are Flux inference issues, but one is on Ascend NPU and the other is a CUDA/CPU device-placement regression; not the same bug." + }, + { + "left": "issue:1367", + "right": "issue:746", + "accept": false, + "reason": "Scheduler config serialization with trained_betas is unrelated to an ONNX revision loading issue." + }, + { + "left": "issue:1166", + "right": "issue:2218", + "accept": false, + "reason": "TPU save hang and overtrained models are different training problems." + }, + { + "left": "issue:2036", + "right": "issue:993", + "accept": false, + "reason": "An OSError loading stable-diffusion-v1-4 is not the same as an fp16 dtype mismatch." + }, + { + "left": "issue:9063", + "right": "issue:9089", + "accept": false, + "reason": "Flux tokenizer instantiation failure and FluxPipeline import missing are different issues." + }, + { + "left": "issue:5510", + "right": "issue:6570", + "accept": false, + "reason": "Half/bias dtype mismatch and tensor-size mismatch are distinct runtime errors." + }, + { + "left": "issue:6323", + "right": "issue:9660", + "accept": false, + "reason": "TensorRT guidance_scale attribute handling is unrelated to from_pretrained not setting eval mode." + }, + { + "left": "issue:12108", + "right": "issue:12458", + "accept": false, + "reason": "Qwen image/chroma scheduler incompatibility is different from a batch inference feature request for Qwen-image-edit." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 122, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10016", + "issue:10472", + "issue:11046", + "issue:1125", + "issue:11627", + "issue:12080", + "issue:13065", + "issue:13300", + "issue:1633", + "issue:2444", + "issue:2707", + "issue:2905", + "issue:3728", + "issue:3948", + "issue:4014", + "issue:4080", + "issue:4790", + "issue:4808", + "issue:5143", + "issue:5628", + "issue:5647", + "issue:5703", + "issue:5966", + "issue:617", + "issue:6218", + "issue:6418", + "issue:6520", + "issue:6594", + "issue:6749", + "issue:6758", + "issue:7049", + "issue:7237", + "issue:7418", + "issue:7509", + "issue:7606", + "issue:7708", + "issue:7793", + "issue:7936", + "issue:7974", + "issue:8228", + "issue:8551", + "issue:8626", + "issue:9012", + "issue:9202", + "issue:940", + "issue:941", + "issue:967" + ], + "soft_pairs": [ + "issue:10010|issue:7237", + "issue:6520|issue:6749", + "issue:10472|issue:7606", + "issue:11627|issue:8626", + "issue:3728|issue:7509", + "issue:7049|issue:9202", + "issue:2707|issue:4790", + "issue:1125|issue:13300", + "issue:3948|issue:4014", + "issue:6218|issue:6758", + "issue:2444|issue:2707", + "issue:5647|issue:8551", + "issue:940|issue:941", + "issue:10016|issue:8228", + "issue:4808|issue:6218", + "issue:7708|issue:7936", + "issue:7793|issue:9012", + "issue:1633|issue:2905", + "issue:5628|issue:5703", + "issue:11046|issue:7974", + "issue:617|issue:967", + "issue:12080|issue:13065", + "issue:4080|issue:5966", + "issue:5143|issue:6418", + "issue:6594|issue:7418" + ], + "prepared_review_unit_hash": "2fe0116186de137a65c9d177d1314bec17660c688f543c3db605bca44da64754", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34950, + "estimated_input_tokens": 8738, + "estimated_eval_tokens": 17732 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated issues across different pipelines, schedulers, model-loading paths, and feature requests. I don\u2019t see a coherent duplicate cluster, so all soft links should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue fits: the items cover distinct bugs and feature requests with different models, pipelines, and failure modes.", + "canonical_pr_reason": null, + "best_issue_reason": "If a placeholder is required, issue:13300 is the broadest and most recent report, but it still does not represent the rest of the set well.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10010", + "right": "issue:7237", + "accept": false, + "reason": "Different loading failures: missing FLUX model file vs missing scheduler class." + }, + { + "left": "issue:6520", + "right": "issue:6749", + "accept": false, + "reason": "Different contexts and symptoms: blank validation output vs InstantID replication issues." + }, + { + "left": "issue:10472", + "right": "issue:7606", + "accept": false, + "reason": "Different bugs: unexpected lora_bias kwarg vs a deprecation notice in Kandinsky LoRA code." + }, + { + "left": "issue:11627", + "right": "issue:8626", + "accept": false, + "reason": "One is an inference bug request; the other is documentation/guidance for IP-Adapter usage." + }, + { + "left": "issue:3728", + "right": "issue:7509", + "accept": false, + "reason": "Different requested features: a new text-to-image pipeline vs iterative inversion/re-noising." + }, + { + "left": "issue:7049", + "right": "issue:9202", + "accept": false, + "reason": "Both involve IP-Adapter, but the concrete errors and pipelines differ." + }, + { + "left": "issue:2707", + "right": "issue:4790", + "accept": false, + "reason": "Different converter problems: syntax error vs generated files not being reopenable." + }, + { + "left": "issue:1125", + "right": "issue:13300", + "accept": false, + "reason": "Different pipeline failures and model families; not the same underlying bug." + }, + { + "left": "issue:3948", + "right": "issue:4014", + "accept": false, + "reason": "Different image-quality symptoms: pale images vs watermark artifacts." + }, + { + "left": "issue:6218", + "right": "issue:6758", + "accept": false, + "reason": "Both are pipeline parameter issues, but the affected pipelines and failures are different." + }, + { + "left": "issue:2444", + "right": "issue:2707", + "accept": false, + "reason": "Unrelated script failures in different tools and code paths." + }, + { + "left": "issue:5647", + "right": "issue:8551", + "accept": false, + "reason": "Different bugs: SDXL inpaint strength==1 behavior vs device_map placement for VAE latents." + }, + { + "left": "issue:940", + "right": "issue:941", + "accept": false, + "reason": "Same device family (MPS) but different pipeline behaviors and failure modes." + }, + { + "left": "issue:10016", + "right": "issue:8228", + "accept": false, + "reason": "Both are from_single_file loading issues, but they fail on different components and model shapes." + }, + { + "left": "issue:4808", + "right": "issue:6218", + "accept": false, + "reason": "Different pipelines and symptoms: SHAP-E integration test vs batched seeds in ControlNet/Img2Img." + }, + { + "left": "issue:7708", + "right": "issue:7936", + "accept": false, + "reason": "Different file/path errors: missing tokenizer config vs invalid JSON in a safetensors load." + }, + { + "left": "issue:7793", + "right": "issue:9012", + "accept": false, + "reason": "Different weight-loading paths and models; not the same concrete defect." + }, + { + "left": "issue:1633", + "right": "issue:2905", + "accept": false, + "reason": "Related feature area, but one is a wrapper option request and the other is a broader scheduler feature request." + }, + { + "left": "issue:5628", + "right": "issue:5703", + "accept": false, + "reason": "Different scheduler bugs with different algorithms and failure behavior." + }, + { + "left": "issue:11046", + "right": "issue:7974", + "accept": false, + "reason": "Both mention inpaint/IP-Adapter, but they target different pipelines and use cases." + }, + { + "left": "issue:617", + "right": "issue:967", + "accept": false, + "reason": "Completely different problems: hardware NNPack init vs ONNX scheduler incompatibility." + }, + { + "left": "issue:12080", + "right": "issue:13065", + "accept": false, + "reason": "Same model family, but one is general image editing and the other is a specific controlnet inpaint/canny request." + }, + { + "left": "issue:4080", + "right": "issue:5966", + "accept": false, + "reason": "Different feature requests for different model families and pipelines." + }, + { + "left": "issue:5143", + "right": "issue:6418", + "accept": false, + "reason": "Different output consistency bugs: tiny numeric differences vs identical video frames." + }, + { + "left": "issue:6594", + "right": "issue:7418", + "accept": false, + "reason": "External config fetch failure vs a community pipeline code bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 123, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10066", + "issue:10202", + "issue:10492", + "issue:10542", + "issue:11702", + "issue:11962", + "issue:12078", + "issue:12157", + "issue:12175", + "issue:12319", + "issue:12459", + "issue:1310", + "issue:13281", + "issue:1434", + "issue:1934", + "issue:2015", + "issue:2091", + "issue:2361", + "issue:2507", + "issue:2618", + "issue:2851", + "issue:3296", + "issue:3377", + "issue:3565", + "issue:3613", + "issue:3761", + "issue:3803", + "issue:3885", + "issue:3937", + "issue:4400", + "issue:5044", + "issue:5606", + "issue:5607", + "issue:5873", + "issue:5923", + "issue:6069", + "issue:6157", + "issue:6230", + "issue:6545", + "issue:6548", + "issue:6891", + "issue:7237", + "issue:8668", + "issue:9178", + "issue:9210", + "issue:9264", + "issue:9476" + ], + "soft_pairs": [ + "issue:12319|issue:13281", + "issue:1434|issue:1934", + "issue:12078|issue:9476", + "issue:12157|issue:12175", + "issue:3937|issue:6157", + "issue:10066|issue:5607", + "issue:6069|issue:8668", + "issue:6545|issue:6891", + "issue:2361|issue:3296", + "issue:10492|issue:11702", + "issue:2507|issue:5606", + "issue:2618|issue:6548", + "issue:3377|issue:4400", + "issue:3565|issue:3613", + "issue:5873|issue:7237", + "issue:3761|issue:5044", + "issue:2091|issue:3885", + "issue:10202|issue:9178", + "issue:10542|issue:12459", + "issue:1310|issue:2015", + "issue:5923|issue:9210", + "issue:11962|issue:9264", + "issue:2851|issue:3803", + "issue:3613|issue:6230" + ], + "prepared_review_unit_hash": "f11405cec0b942246f7214b12a080a25666304790ac9e9829d10e550876fed6f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33667, + "estimated_input_tokens": 8417, + "estimated_eval_tokens": 17090 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated bugs, feature requests, trackers, and training/runtime issues across different models and code paths. None of the soft pairs look like the same underlying defect or change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a strong canonical representative because the items are heterogeneous and mostly unrelated beyond broad keyword overlap.", + "best_pr_reason": "No pull requests are present in this cluster, so there is no canonical PR candidate.", + "soft_edge_verdicts": [ + { + "left": "issue:12319", + "right": "issue:13281", + "accept": false, + "reason": "Both involve offloading, but one is a block_level group-offloading bug and the other is a torchao quantized-model device mismatch in Qwen Image." + }, + { + "left": "issue:1434", + "right": "issue:1934", + "accept": false, + "reason": "Both mention memory usage, but one is an OOM in StableDiffusionUpscalePipeline and the other is a cpu_offload VRAM consumption issue." + }, + { + "left": "issue:12078", + "right": "issue:9476", + "accept": false, + "reason": "Both are Flux-related, but one is about bad example validation input and the other is a dtype mismatch during DreamBooth LoRA validation." + }, + { + "left": "issue:12157", + "right": "issue:12175", + "accept": false, + "reason": "Qwen Image is the common model name, but one is a torch.device iterable error during quantized training and the other is a generated-image quality complaint." + }, + { + "left": "issue:3937", + "right": "issue:6157", + "accept": false, + "reason": "One is a model loading failure and the other is an ip_adapter compatibility question in ControlNet img2img; different code paths." + }, + { + "left": "issue:10066", + "right": "issue:5607", + "accept": false, + "reason": "Both are runtime errors, but the exceptions indicate different failures: tuple unpacking versus tensor size mismatch." + }, + { + "left": "issue:6069", + "right": "issue:8668", + "accept": false, + "reason": "Scheduler add_noise failing at t=0 is unrelated to StableDiffusion3 img2img image-alignment constraints." + }, + { + "left": "issue:6545", + "right": "issue:6891", + "accept": false, + "reason": "Both are trackers, but one is about modularizing inference and the other is about adopting new model-card utilities." + }, + { + "left": "issue:2361", + "right": "issue:3296", + "accept": false, + "reason": "Both concern checkpoint/save-load behavior during training, but they affect different scripts and different mechanisms." + }, + { + "left": "issue:10492", + "right": "issue:11702", + "accept": false, + "reason": "TorchAO quantize/lora fuse and AccVid LoRA key errors are separate model-loading/training failures." + }, + { + "left": "issue:2507", + "right": "issue:5606", + "accept": false, + "reason": "Slow safetensors GPU loading is performance-related, while loading LoRA without alpha is a functional bug." + }, + { + "left": "issue:2618", + "right": "issue:6548", + "accept": false, + "reason": "One is about FloatTensor image input in ControlNet; the other is an RGBA img2img latent handling bug." + }, + { + "left": "issue:3377", + "right": "issue:4400", + "accept": false, + "reason": "A question about SNR weighting is not the same as text_encoder support in a specific training script." + }, + { + "left": "issue:3565", + "right": "issue:3613", + "accept": false, + "reason": "Both mention OOM, but they are different training scripts with different settings and failure contexts." + }, + { + "left": "issue:5873", + "right": "issue:7237", + "accept": false, + "reason": "ONNX export support for scaled_dot_product_attention is unrelated to a scheduler missing from the latest version." + }, + { + "left": "issue:3761", + "right": "issue:5044", + "accept": false, + "reason": "Loading multiple community pipelines in one process is unrelated to Kandinsky 2.2 failing to load." + }, + { + "left": "issue:2091", + "right": "issue:3885", + "accept": false, + "reason": "Resuming multi-GPU checkpoint training and reducing VRAM usage are different training concerns, not the same bug." + }, + { + "left": "issue:10202", + "right": "issue:9178", + "accept": false, + "reason": "Flux LoRA unload behavior and Flux LoRA target-module errors are distinct issues in different stages of the workflow." + }, + { + "left": "issue:10542", + "right": "issue:12459", + "accept": false, + "reason": "Hunyuan batch-size breakage and FLUX.1-Kontext batch inference throughput are different model-specific issues." + }, + { + "left": "issue:1310", + "right": "issue:2015", + "accept": false, + "reason": "K-Diffusion Stable Diffusion pipeline work and categorical diffusion pipeline are separate feature requests/problems." + }, + { + "left": "issue:5923", + "right": "issue:9210", + "accept": false, + "reason": "Multi-GPU text-to-image training hanging is unrelated to the image_column validation error." + }, + { + "left": "issue:11962", + "right": "issue:9264", + "accept": false, + "reason": "GGUF quantized-model support and asking for a FLUX inpainting model are different feature requests." + }, + { + "left": "issue:2851", + "right": "issue:3803", + "accept": false, + "reason": "TPU push_to_hub limitations and multi-GPU LoRA synchronization are different distributed-training problems." + }, + { + "left": "issue:3613", + "right": "issue:6230", + "accept": false, + "reason": "Both are OOM reports, but they involve different scripts, models, and training configurations." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 124, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10472", + "issue:10514", + "issue:10526", + "issue:10760", + "issue:10798", + "issue:11135", + "issue:11232", + "issue:11352", + "issue:11569", + "issue:11651", + "issue:13015", + "issue:13053", + "issue:1392", + "issue:1478", + "issue:1643", + "issue:1979", + "issue:255", + "issue:2673", + "issue:3238", + "issue:3593", + "issue:3672", + "issue:3700", + "issue:3781", + "issue:3880", + "issue:4109", + "issue:4213", + "issue:4354", + "issue:4386", + "issue:457", + "issue:4782", + "issue:5334", + "issue:5474", + "issue:5877", + "issue:5932", + "issue:6008", + "issue:6277", + "issue:6388", + "issue:6695", + "issue:7180", + "issue:7228", + "issue:7592", + "issue:785", + "issue:861", + "issue:8738", + "issue:9138", + "issue:9270", + "issue:9690" + ], + "soft_pairs": [ + "issue:10526|issue:9690", + "issue:1478|issue:2673", + "issue:1979|issue:861", + "issue:11651|issue:9270", + "issue:3238|issue:6008", + "issue:5877|issue:6695", + "issue:457|issue:785", + "issue:3593|issue:7180", + "issue:4213|issue:7592", + "issue:10514|issue:9138", + "issue:10472|issue:11232", + "issue:10760|issue:7228", + "issue:10798|issue:13015", + "issue:11135|issue:5474", + "issue:11352|issue:8738", + "issue:11569|issue:13053", + "issue:1392|issue:5474", + "issue:1643|issue:5932", + "issue:255|issue:3672", + "issue:3700|issue:6277", + "issue:3781|issue:5334", + "issue:3880|issue:4782", + "issue:4109|issue:4354", + "issue:4386|issue:6388" + ], + "prepared_review_unit_hash": "2e331408be8b4a9fea2667234d802420eb01e31d397970f9bcd6cbfc1b08488f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33868, + "estimated_input_tokens": 8467, + "estimated_eval_tokens": 17190 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly false-positive similarity: it mixes unrelated issues across LoRA/Flux, pipelines, inpainting, quantization, import errors, and training scripts. No soft edge looks like a true duplicate pair.", + "confidence": 0.22, + "canonical_issue_reason": "Issue 11651 is the closest thing to a representative item because it is a concrete, user-facing LoRA/Flux loading bug. That said, the cluster is too heterogeneous for a strong canonical issue choice.", + "canonical_pr_reason": null, + "best_issue_reason": "11651 is the best single issue to surface only because it is the clearest concrete bug in the dominant LoRA/Flux subset. It is not a good cluster-wide duplicate anchor, just the least-bad representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10526", + "right": "issue:9690", + "accept": false, + "reason": "FP8 quantization constructor TypeError is unrelated to example-code cleanup." + }, + { + "left": "issue:1478", + "right": "issue:2673", + "accept": false, + "reason": "Both involve upscaling, but one is an output-count bug and the other is a config/image-shape failure in a different code path." + }, + { + "left": "issue:1979", + "right": "issue:861", + "accept": false, + "reason": "Both are conversion-related, but one is SD-to-diffusers conversion in general and the other is a specific ckpt conversion command failure; not the same bug." + }, + { + "left": "issue:11651", + "right": "issue:9270", + "accept": false, + "reason": "Both mention Flux LoRA support, but one is a loading failure in FluxControl and the other is a broader SimpleTuner support complaint." + }, + { + "left": "issue:3238", + "right": "issue:6008", + "accept": false, + "reason": "LoRA conversion and IP-Adapter-plus/LCM interaction are different problems." + }, + { + "left": "issue:5877", + "right": "issue:6695", + "accept": false, + "reason": "Both mention subprocess errors, but they are separate training failures with no shared concrete failure mode." + }, + { + "left": "issue:457", + "right": "issue:785", + "accept": false, + "reason": "Both are performance/artifact issues, but MPS blue artifacts and PNDM scheduler cost are unrelated." + }, + { + "left": "issue:3593", + "right": "issue:7180", + "accept": false, + "reason": "LoRA+xformers second-call failure is unrelated to SDXL controlnet cpu-offload failure." + }, + { + "left": "issue:4213", + "right": "issue:7592", + "accept": false, + "reason": "from_single_file accelerate dependency issue is unrelated to DoRA state_dict loading." + }, + { + "left": "issue:10514", + "right": "issue:9138", + "accept": false, + "reason": "Sana sample_size/resolution-binning support is unrelated to a generic int-vs-str TypeError." + }, + { + "left": "issue:10472", + "right": "issue:11232", + "accept": false, + "reason": "Unexpected lora_bias during inference and noisy residuals during fine-tuning are different LoRA issues with different symptoms and code paths." + }, + { + "left": "issue:10760", + "right": "issue:7228", + "accept": false, + "reason": "Missing OnnxStableDiffusionInpaintPipelineLegacy attribute and traced-model dtype attribute error are unrelated import/runtime issues." + }, + { + "left": "issue:10798", + "right": "issue:13015", + "accept": false, + "reason": "Bitsandbytes device-combination bug and NPU tensor-device mismatch are different backend-specific failures." + }, + { + "left": "issue:11135", + "right": "issue:5474", + "accept": false, + "reason": "New pipeline requests for SmoothCache and Reference Only are distinct feature proposals." + }, + { + "left": "issue:11352", + "right": "issue:8738", + "accept": false, + "reason": "CPU warning for 8bit quantized model movement is unrelated to SD3Transformer2DModel configuration." + }, + { + "left": "issue:11569", + "right": "issue:13053", + "accept": false, + "reason": "Repo request for a distilled model and Unipic 3.0 pipeline support are separate feature requests." + }, + { + "left": "issue:1392", + "right": "issue:5474", + "accept": false, + "reason": "Stable Diffusion 2 release/topic and a reference-only pipeline proposal are not duplicates." + }, + { + "left": "issue:1643", + "right": "issue:5932", + "accept": false, + "reason": "xformers argument mismatch in DreamBooth is unrelated to a channel-mismatch runtime error in a different pipeline." + }, + { + "left": "issue:255", + "right": "issue:3672", + "accept": false, + "reason": "UNet block size/shape validation and concurrent thread failure are different bug classes." + }, + { + "left": "issue:3700", + "right": "issue:6277", + "accept": false, + "reason": "min_snr argument support in training script and broken gradients in the same script are separate training issues." + }, + { + "left": "issue:3781", + "right": "issue:5334", + "accept": false, + "reason": "Multiple LoRAs loading regression and Accelerate prepare/accumulate multi-model support are not the same bug." + }, + { + "left": "issue:3880", + "right": "issue:4782", + "accept": false, + "reason": "Both concern inpainting quality, but degraded unmasked areas and modifying mask==0 regions are not the same defect." + }, + { + "left": "issue:4109", + "right": "issue:4354", + "accept": false, + "reason": "SDXL inpaint not working and from_single_file returning the wrong pipeline type are distinct issues." + }, + { + "left": "issue:4386", + "right": "issue:6388", + "accept": false, + "reason": "SDXL LoRA conversion question and gradient-checkpointing ignored in training are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 125, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10302", + "issue:10337", + "issue:10797", + "issue:10914", + "issue:1100", + "issue:11298", + "issue:11352", + "issue:11370", + "issue:11872", + "issue:12329", + "issue:12529", + "issue:1367", + "issue:2518", + "issue:2786", + "issue:3280", + "issue:3442", + "issue:3454", + "issue:3694", + "issue:4073", + "issue:4183", + "issue:4450", + "issue:4554", + "issue:4754", + "issue:487", + "issue:4874", + "issue:5429", + "issue:5436", + "issue:6441", + "issue:6636", + "issue:6801", + "issue:8463", + "issue:8543", + "issue:8588", + "issue:8673", + "issue:8744", + "issue:8958", + "issue:898", + "issue:9167", + "issue:9200", + "issue:9209", + "issue:9343", + "issue:9484", + "issue:9546", + "issue:9637", + "issue:9674", + "issue:9763", + "issue:9913", + "issue:9927" + ], + "soft_pairs": [ + "issue:4554|issue:8543", + "issue:5436|issue:9674", + "issue:6801|issue:9200", + "issue:8588|issue:8673", + "issue:3454|issue:487", + "issue:9484|issue:9546", + "issue:10797|issue:11370", + "issue:3280|issue:4073", + "issue:3442|issue:4450", + "issue:10302|issue:11872", + "issue:4183|issue:4874", + "issue:8463|issue:8958", + "issue:10337|issue:9343", + "issue:8744|issue:9209", + "issue:11298|issue:9637", + "issue:6636|issue:9167", + "issue:12329|issue:12529", + "issue:10914|issue:11352", + "issue:6441|issue:9913", + "issue:3694|issue:4754", + "issue:1100|issue:898", + "issue:1367|issue:2786", + "issue:2518|issue:5429", + "issue:9763|issue:9927" + ], + "prepared_review_unit_hash": "a963d3223b93ceaac07591b22d1df994c69c0e96f989a84bf5c5f875f120ebff", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33963, + "estimated_input_tokens": 8491, + "estimated_eval_tokens": 17238 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is loosely centered on device placement/offloading, quantization, and related runtime failures, but the items are mostly distinct bugs rather than duplicates. No pull requests are present.", + "confidence": 0.71, + "canonical_issue_reason": "issue:10914 is the broadest, most central offloading/device-placement report and best matches the shared theme across the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10914 is the best representative issue because it captures the general CPU offload misbehavior that many of the other reports orbit around, even though the cluster is not truly duplicate-heavy.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4554", + "right": "issue:8543", + "accept": false, + "reason": "Both are OOM/gradient-related example failures, but they concern different models and failure modes, not the same underlying bug." + }, + { + "left": "issue:5436", + "right": "issue:9674", + "accept": false, + "reason": "Both are training-example problems, but one is a ControlNet XL example error and the other is poor SD3 controlnet results; not the same fix." + }, + { + "left": "issue:6801", + "right": "issue:9200", + "accept": false, + "reason": "Scheduler load failure vs. SDXL ControlNet dtype error are different code paths and different symptoms." + }, + { + "left": "issue:8588", + "right": "issue:8673", + "accept": false, + "reason": "Missing conversion script vs. missing attention masks in SD3 are unrelated issues." + }, + { + "left": "issue:3454", + "right": "issue:487", + "accept": false, + "reason": "Both involve training/runtime failures, but one is DreamBooth LoRA breakage and the other is a StableDiffusionPipeline M1 CPU issue." + }, + { + "left": "issue:9484", + "right": "issue:9546", + "accept": false, + "reason": "Both mention FLUX training, but multigpu/deepspeed training and validation-step OOM are different problems." + }, + { + "left": "issue:10797", + "right": "issue:11370", + "accept": false, + "reason": "Group offloading in a video pipeline and a corrupted/invalid load-key conversion script failure are not the same bug." + }, + { + "left": "issue:3280", + "right": "issue:4073", + "accept": false, + "reason": "Non-default scheduler compatibility and a DeepFloyd IF safety-checker attribute error are unrelated." + }, + { + "left": "issue:3442", + "right": "issue:4450", + "accept": false, + "reason": "Both are textual inversion issues, but one is an embedding dimension mismatch while the other is multi-text inversion not working." + }, + { + "left": "issue:10302", + "right": "issue:11872", + "accept": false, + "reason": "Both relate to offloading/precision, but one is FP8 inference noise and the other is repeated CPU/GPU movement inefficiency; not one concrete bug." + }, + { + "left": "issue:4183", + "right": "issue:4874", + "accept": false, + "reason": "ControlNet guidance-scale error and low_res_scheduler bug are different pipelines and failure modes." + }, + { + "left": "issue:8463", + "right": "issue:8958", + "accept": false, + "reason": "Missing tokenizer/object attribute issue vs. PyTorch 2.4 register_fake incompatibility are unrelated." + }, + { + "left": "issue:10337", + "right": "issue:9343", + "accept": false, + "reason": "Quantized IPAdapter failure and FLUX loading with low_cpu_mem_usage/ignore_mismatched_sizes are different problems." + }, + { + "left": "issue:8744", + "right": "issue:9209", + "accept": false, + "reason": "Training/example support request and model download/connectivity error are not the same underlying bug." + }, + { + "left": "issue:11298", + "right": "issue:9637", + "accept": false, + "reason": "LoRA hotswapping PEFT key error and xFormers attention-mask/bfloat16 bug are separate code paths." + }, + { + "left": "issue:6636", + "right": "issue:9167", + "accept": false, + "reason": "Importing DIFFUSERS_SLOW_IMPORT and importing StableDiffusion3Pipeline are different import issues." + }, + { + "left": "issue:12329", + "right": "issue:12529", + "accept": false, + "reason": "Single-file Wan transformer misclassification and Wan2.2 tiled VAE tensor mismatch are distinct issues." + }, + { + "left": "issue:10914", + "right": "issue:11352", + "accept": false, + "reason": "General unintended CPU offload and missing warning for moving 8-bit quantized models to CPU are related but not the same concrete defect." + }, + { + "left": "issue:6441", + "right": "issue:9913", + "accept": false, + "reason": "Colab from_pretrained problems and set_lora_device behavior are unrelated." + }, + { + "left": "issue:3694", + "right": "issue:4754", + "accept": false, + "reason": "Missing model_index/config in a finetuning example and loading a fine-tuned textual inversion artifact are different save/load failures." + }, + { + "left": "issue:1100", + "right": "issue:898", + "accept": false, + "reason": "Both are device-related exceptions, but one is a missing .device attribute on CLIPTextTransformer and the other is TPU bfloat16 scalar type support." + }, + { + "left": "issue:1367", + "right": "issue:2786", + "accept": false, + "reason": "Scheduler config saving and numpy input compatibility in Depth2Img are unrelated." + }, + { + "left": "issue:2518", + "right": "issue:5429", + "accept": false, + "reason": "Both touch example support for missing dependencies/components, but one is xformers support and the other is handling models without VAE; not the same change." + }, + { + "left": "issue:9763", + "right": "issue:9927", + "accept": false, + "reason": "Token truncation in FLUX ControlNet training and HeaderTooLarge in SD3 ControlNet training are different failure modes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 126, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10514", + "issue:10520", + "issue:11178", + "issue:11819", + "issue:12009", + "issue:12085", + "issue:12536", + "issue:1261", + "issue:12661", + "issue:1271", + "issue:1305", + "issue:1541", + "issue:1821", + "issue:1865", + "issue:1919", + "issue:2107", + "issue:2331", + "issue:3382", + "issue:3487", + "issue:3717", + "issue:3748", + "issue:4014", + "issue:4185", + "issue:4213", + "issue:4229", + "issue:4279", + "issue:4398", + "issue:4530", + "issue:4848", + "issue:5037", + "issue:5205", + "issue:5227", + "issue:5379", + "issue:5380", + "issue:5474", + "issue:5923", + "issue:5934", + "issue:6130", + "issue:6372", + "issue:684", + "issue:817", + "issue:8228", + "issue:8503", + "issue:8729", + "issue:8786", + "issue:9101", + "issue:9443" + ], + "soft_pairs": [ + "issue:10514|issue:10520", + "issue:2331|issue:5474", + "issue:1821|issue:3487", + "issue:12536|issue:12661", + "issue:1541|issue:817", + "issue:4848|issue:8786", + "issue:1261|issue:684", + "issue:5379|issue:5380", + "issue:12009|issue:12085", + "issue:4014|issue:4398", + "issue:5474|issue:6372", + "issue:11178|issue:8228", + "issue:1271|issue:1919", + "issue:2107|issue:4185", + "issue:3717|issue:5923", + "issue:1865|issue:3382", + "issue:4229|issue:5923", + "issue:5227|issue:5934", + "issue:11819|issue:9101", + "issue:1305|issue:5205", + "issue:8503|issue:9443", + "issue:4014|issue:4530", + "issue:4213|issue:4279", + "issue:5037|issue:8729", + "issue:3748|issue:6130" + ], + "prepared_review_unit_hash": "608db032f2c62820e2d85266e11d76555fcbe6294c5f861adcc37643401990e8", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33908, + "estimated_input_tokens": 8477, + "estimated_eval_tokens": 17210 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set; it mixes unrelated feature requests and bugs across different pipelines, loaders, and training paths. I rejected all soft-edge matches.", + "confidence": 0.86, + "canonical_issue_reason": "No good canonical issue: the set mixes unrelated feature requests and bugs across different pipelines, loaders, and training scripts.", + "canonical_pr_reason": null, + "best_issue_reason": "issue 12009 is the most concrete, self-contained failure report and the closest thing to a representative issue, but it still does not unify the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10514", + "right": "issue:10520", + "accept": false, + "reason": "Different Sana 4K failures: unsupported sample_size vs cross-device tensor mismatch." + }, + { + "left": "issue:2331", + "right": "issue:5474", + "accept": false, + "reason": "Different requests for different pipelines: ControlNet vs Reference Only." + }, + { + "left": "issue:1821", + "right": "issue:3487", + "accept": false, + "reason": "Different inpaint bugs: negative_prompt ineffectiveness vs poor strength/scheduler results." + }, + { + "left": "issue:12536", + "right": "issue:12661", + "accept": false, + "reason": "Both mention context parallelism, but the pipelines and failure modes differ." + }, + { + "left": "issue:1541", + "right": "issue:817", + "accept": false, + "reason": "Different Dreambooth issues: model type detection vs mixed precision." + }, + { + "left": "issue:4848", + "right": "issue:8786", + "accept": false, + "reason": "Different models and bugs: LPW SDXL failure vs SD3 token-length handling." + }, + { + "left": "issue:1261", + "right": "issue:684", + "accept": false, + "reason": "Unrelated problems: xformers backward assert vs AMD memory optimization support." + }, + { + "left": "issue:5379", + "right": "issue:5380", + "accept": false, + "reason": "Different community pipeline proposals, not the same change." + }, + { + "left": "issue:12009", + "right": "issue:12085", + "accept": false, + "reason": "Both are GGUF load failures, but they involve different transformer classes and error paths." + }, + { + "left": "issue:4014", + "right": "issue:4398", + "accept": false, + "reason": "Different output artifacts in different SDXL pipelines; no shared concrete bug." + }, + { + "left": "issue:5474", + "right": "issue:6372", + "accept": false, + "reason": "Different pipeline features: Reference Only vs SVD + ControlNet." + }, + { + "left": "issue:11178", + "right": "issue:8228", + "accept": false, + "reason": "Both are load failures, but for different components: ControlNet vs CLIPTextModel." + }, + { + "left": "issue:1271", + "right": "issue:1919", + "accept": false, + "reason": "Different setup problems: dependency installation vs missing datasets requirement." + }, + { + "left": "issue:2107", + "right": "issue:4185", + "accept": false, + "reason": "Both mention black/glitchy images, but the affected pipelines and likely causes differ." + }, + { + "left": "issue:3717", + "right": "issue:5923", + "accept": false, + "reason": "Different multi-GPU training failures: OOM vs execution stuck." + }, + { + "left": "issue:1865", + "right": "issue:3382", + "accept": false, + "reason": "Different training errors: ZeRO stage-3 dimension mismatch vs multi-GPU OOM." + }, + { + "left": "issue:4229", + "right": "issue:5923", + "accept": false, + "reason": "Both are multi-GPU training problems, but one is an accelerated-training error and the other is a hang." + }, + { + "left": "issue:5227", + "right": "issue:5934", + "accept": false, + "reason": "Both involve torch.compile, but the affected code paths are not the same." + }, + { + "left": "issue:11819", + "right": "issue:9101", + "accept": false, + "reason": "Different feature requests for different training scripts and model families." + }, + { + "left": "issue:1305", + "right": "issue:5205", + "accept": false, + "reason": "Different image-editing pipelines; not the same underlying change." + }, + { + "left": "issue:8503", + "right": "issue:9443", + "accept": false, + "reason": "Different SD3 issues: gradient checkpointing crash vs tokenizer instantiation failure." + }, + { + "left": "issue:4014", + "right": "issue:4530", + "accept": false, + "reason": "Both are artifact reports, but they affect different SDXL pipeline stages and symptoms." + }, + { + "left": "issue:4213", + "right": "issue:4279", + "accept": false, + "reason": "Different loading issues: accelerate dependency vs LoRA loading from CivitAI." + }, + { + "left": "issue:5037", + "right": "issue:8729", + "accept": false, + "reason": "Both involve validation images, but the scripts and failure conditions differ." + }, + { + "left": "issue:3748", + "right": "issue:6130", + "accept": false, + "reason": "Different LoRA loading bugs; too generic to treat as the same concrete issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 127, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10147", + "issue:10798", + "issue:11215", + "issue:1166", + "issue:11853", + "issue:1188", + "issue:12022", + "issue:12037", + "issue:1214", + "issue:1434", + "issue:1500", + "issue:1672", + "issue:1807", + "issue:2331", + "issue:2440", + "issue:2442", + "issue:2695", + "issue:3221", + "issue:3405", + "issue:3564", + "issue:3661", + "issue:3891", + "issue:4031", + "issue:4057", + "issue:4073", + "issue:4117", + "issue:4206", + "issue:4305", + "issue:4471", + "issue:4686", + "issue:4880", + "issue:4885", + "issue:4985", + "issue:5016", + "issue:5399", + "issue:5488", + "issue:5565", + "issue:5607", + "issue:5737", + "issue:5757", + "issue:5966", + "issue:6008", + "issue:6146", + "issue:7168", + "issue:7199", + "issue:7357", + "issue:761", + "issue:8482" + ], + "soft_pairs": [ + "issue:10147|issue:7199", + "issue:2331|issue:3564", + "issue:1214|issue:3661", + "issue:4031|issue:4073", + "issue:10798|issue:11215", + "issue:1166|issue:761", + "issue:1434|issue:4686", + "issue:4471|issue:4885", + "issue:5016|issue:5737", + "issue:5607|issue:7168", + "issue:2440|issue:5399", + "issue:11853|issue:6008", + "issue:4305|issue:7357", + "issue:2695|issue:3405", + "issue:12022|issue:12037", + "issue:5966|issue:8482", + "issue:4880|issue:5488", + "issue:5757|issue:6146", + "issue:4206|issue:4985", + "issue:1500|issue:3221", + "issue:1672|issue:1807", + "issue:4117|issue:5565", + "issue:1188|issue:3891", + "issue:2442|issue:4057" + ], + "prepared_review_unit_hash": "7f859640aa0e613b73fdf54982d167f1117c79926aae7330eeb9bed08d526835", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33999, + "estimated_input_tokens": 8500, + "estimated_eval_tokens": 17256 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No duplicate cluster here: the items span many unrelated bugs/features across different pipelines, models, and training scripts. All soft edges are false positives from superficial keyword overlap.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue: the set is too heterogeneous (ControlNet, SDXL DreamBooth, inpainting, safety checker, quantization, flash-attn, TTS, etc.) for one issue to represent the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue: none of these issues subsume the others or describe the same underlying defect/change.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10147", + "right": "issue:7199", + "accept": false, + "reason": "Both mention multi-view generation, but one is MV-Adapter support and the other is ViewFusion; different methods and different work items." + }, + { + "left": "issue:2331", + "right": "issue:3564", + "accept": false, + "reason": "Related ControlNet area, but one is a generic ControlNet pipeline request and the other is specific Uni-ControlNet support." + }, + { + "left": "issue:1214", + "right": "issue:3661", + "accept": false, + "reason": "Different bugs: half-precision CLIPTextModel failure vs from_ckpt conversion failure for SD 2.x weights." + }, + { + "left": "issue:4031", + "right": "issue:4073", + "accept": false, + "reason": "Both involve safety checker, but one is local-file loading failure and the other is an attribute/type error in DeepFloyd IF safety checker." + }, + { + "left": "issue:10798", + "right": "issue:11215", + "accept": false, + "reason": "Different quantization problems: device-combination bug with bitsandbytes vs slow FLUX quantization and poor LoRA support." + }, + { + "left": "issue:1166", + "right": "issue:761", + "accept": false, + "reason": "Different training paths and failures: TPU textual inversion save hang vs DreamBooth with 8-bit Adam." + }, + { + "left": "issue:1434", + "right": "issue:4686", + "accept": false, + "reason": "One is OOM during upscaling inference; the other is inability to reload a saved UpscalePipeline." + }, + { + "left": "issue:4471", + "right": "issue:4885", + "accept": false, + "reason": "Both are LoRA-loading complaints, but they target different SDXL pipeline variants and are not clearly the same code-path bug." + }, + { + "left": "issue:5016", + "right": "issue:5737", + "accept": false, + "reason": "Different problems: SDXL DreamBooth LoRA text encoder training vs SDXL conversion script failure." + }, + { + "left": "issue:5607", + "right": "issue:7168", + "accept": false, + "reason": "Both are tensor-shape issues, but the contexts differ completely: general pipeline tensor mismatch vs IP-Adapter image embeds." + }, + { + "left": "issue:2440", + "right": "issue:5399", + "accept": false, + "reason": "Both mention inpainting and dtype, but one is load-time float16 failure and the other is inference-time matmul dtype mismatch." + }, + { + "left": "issue:11853", + "right": "issue:6008", + "accept": false, + "reason": "Different integration bugs: ControlNet+IP-Adapter load conflict vs IP-Adapter Plus Face failing with LCM LoRA." + }, + { + "left": "issue:4305", + "right": "issue:7357", + "accept": false, + "reason": "One is a torch.compile graph break regression; the other is slow SDXL inference despite compile/fused LoRAs." + }, + { + "left": "issue:2695", + "right": "issue:3405", + "accept": false, + "reason": "Both are ControlNet training issues, but one is a validation/TensorBoard report_to bug and the other is a generic training failure." + }, + { + "left": "issue:12022", + "right": "issue:12037", + "accept": false, + "reason": "Unrelated compatibility issues: flash-attn 3 interface mismatch vs Wan 2.2 / Lightx2v LoRA guidance compatibility." + }, + { + "left": "issue:5966", + "right": "issue:8482", + "accept": false, + "reason": "Different feature requests for different model families: SD 2.1 ControlNet vs SD3-medium support." + }, + { + "left": "issue:4880", + "right": "issue:5488", + "accept": false, + "reason": "Single-controlnet image input TypeError vs generic demo code not working; not the same defect." + }, + { + "left": "issue:5757", + "right": "issue:6146", + "accept": false, + "reason": "Both are training-script problems, but one is checkpoint resume errors and the other is multi-GPU Accelerate usage." + }, + { + "left": "issue:4206", + "right": "issue:4985", + "accept": false, + "reason": "Different SDXL training failures: main-branch ControlNet training breakage vs InstructPix2Pix SDXL OOM." + }, + { + "left": "issue:1500", + "right": "issue:3221", + "accept": false, + "reason": "Both are version-compatibility issues, but they involve different APIs and different community pipelines." + }, + { + "left": "issue:1672", + "right": "issue:1807", + "accept": false, + "reason": "Wrong output size after ckpt-to-diffusers conversion vs inference getting slower over time; unrelated symptoms." + }, + { + "left": "issue:4117", + "right": "issue:5565", + "accept": false, + "reason": "Both are SDXL DreamBooth-related, but one is a general failure and the other is a specific LoRA script/run issue." + }, + { + "left": "issue:1188", + "right": "issue:3891", + "accept": false, + "reason": "Both are pipeline feature requests, but for entirely different applications (CLIPSeg vs Tortoise TTS)." + }, + { + "left": "issue:2442", + "right": "issue:4057", + "accept": false, + "reason": "Both concern inpainting models, but one asks about the loss graph during finetuning and the other reports blurred inference output." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 128, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10573", + "issue:10795", + "issue:11010", + "issue:11045", + "issue:1185", + "issue:12009", + "issue:12113", + "issue:12329", + "issue:12575", + "issue:13043", + "issue:1604", + "issue:1876", + "issue:1979", + "issue:2324", + "issue:2507", + "issue:3348", + "issue:3551", + "issue:3826", + "issue:3878", + "issue:4183", + "issue:4185", + "issue:4217", + "issue:4646", + "issue:4936", + "issue:5075", + "issue:5395", + "issue:5474", + "issue:5689", + "issue:5875", + "issue:5934", + "issue:5953", + "issue:6096", + "issue:6232", + "issue:6382", + "issue:6517", + "issue:6758", + "issue:6879", + "issue:6964", + "issue:7021", + "issue:7056", + "issue:7133", + "issue:7306", + "issue:7681", + "issue:8834", + "issue:9101", + "issue:9630", + "issue:9643", + "issue:9861" + ], + "soft_pairs": [ + "issue:3348|issue:3551", + "issue:8834|issue:9101", + "issue:9630|issue:9861", + "issue:1185|issue:2324", + "issue:5075|issue:6879", + "issue:10573|issue:9643", + "issue:3878|issue:5875", + "issue:5395|issue:6232", + "issue:6382|issue:7306", + "issue:7021|issue:7681", + "issue:4646|issue:6517", + "issue:4183|issue:5953", + "issue:10795|issue:12009", + "issue:11010|issue:11045", + "issue:2507|issue:4217", + "issue:12113|issue:12329", + "issue:3826|issue:5474", + "issue:12575|issue:13043", + "issue:7056|issue:7133", + "issue:6758|issue:6964", + "issue:1604|issue:4936", + "issue:1876|issue:1979", + "issue:5934|issue:6096", + "issue:4185|issue:5689" + ], + "prepared_review_unit_hash": "68ee27331dff9a10b203c61c8c94348b712ff8e5daac7f4661bdc17d25b1784b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34726, + "estimated_input_tokens": 8682, + "estimated_eval_tokens": 17620 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a heterogeneous set of unrelated issues rather than a single duplicate cluster. The soft pairs mostly share broad subsystems or keywords, but they describe different concrete bugs, feature requests, or code paths, so none should be merged.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3348", + "right": "issue:3551", + "accept": false, + "reason": "Both mention LoRA/xFormers, but one is about the LoRA scale parameter while the other is about LoRA disabling xFormers entirely. Related area, different bug." + }, + { + "left": "issue:8834", + "right": "issue:9101", + "accept": false, + "reason": "One asks for SD3 ControlNet training code, the other requests an InstructPix2Pix training script for SD3. Different feature requests, not duplicates." + }, + { + "left": "issue:9630", + "right": "issue:9861", + "accept": false, + "reason": "Both involve Flux training, but one is a num_single_layers=0 multi-GPU/single-GPU runtime error and the other is the transformer not updating during training. Different failure modes." + }, + { + "left": "issue:1185", + "right": "issue:2324", + "accept": false, + "reason": "Both are DreamBooth-related, but one is about reproducibility and the other about instance data not being read. Different underlying bugs." + }, + { + "left": "issue:5075", + "right": "issue:6879", + "accept": false, + "reason": "One is an SDXL refiner shape-mismatch with prompt embeddings; the other is a dtype mismatch in Custom Diffusion. Different code paths and errors." + }, + { + "left": "issue:10573", + "right": "issue:9643", + "accept": false, + "reason": "One is SDXL ControlNet inpaint with multiple controlnets and padding_mask_crop; the other is Flux multi-ControlNet support. Same broad theme, different models and issues." + }, + { + "left": "issue:3878", + "right": "issue:5875", + "accept": false, + "reason": "Pix2Pix training on imagefolder and ONNX conversion of SDXL are unrelated problems." + }, + { + "left": "issue:5395", + "right": "issue:6232", + "accept": false, + "reason": "One concerns combining LoRAs with PEFT; the other is DPMSolverSinglestepScheduler.add_noise behavior. Different subsystems." + }, + { + "left": "issue:6382", + "right": "issue:7306", + "accept": false, + "reason": "The first is an IP-Adapter key error after LCM LoRA training; the second is a float16 issue in LEditsPPPipelineStableDiffusionXL. Different bugs." + }, + { + "left": "issue:7021", + "right": "issue:7681", + "accept": false, + "reason": "One is an HF_HOME import/config issue; the other is an OpenSSL/lib attribute import failure. Different root causes." + }, + { + "left": "issue:4646", + "right": "issue:6517", + "accept": false, + "reason": "ControlNet ONNX export failure and a pipeline import traceback are distinct problems." + }, + { + "left": "issue:4183", + "right": "issue:5953", + "accept": false, + "reason": "One is a guidance_scale<=1 ControlNet generation error; the other is an image/control_image size mismatch crash. Different validations." + }, + { + "left": "issue:10795", + "right": "issue:12009", + "accept": false, + "reason": "Both involve GGUF/single-file loading, but one is torch.compile compatibility for transformer models and the other is a Wan2.2 meta-tensor load failure. Not the same concrete bug." + }, + { + "left": "issue:11010", + "right": "issue:11045", + "accept": false, + "reason": "One is a feature/support request for Chroma Flux architecture changes; the other is a crash in train_dreambooth_lora_flux. Different intents and issues." + }, + { + "left": "issue:2507", + "right": "issue:4217", + "accept": false, + "reason": "Both mention slow safetensors loading, but one is specifically GPU slower than CPU while the other is a generic slow-loading report. Not enough evidence of the same bug." + }, + { + "left": "issue:12113", + "right": "issue:12329", + "accept": false, + "reason": "One is a channel mismatch crash in WanImageToVideoPipeline; the other is wrong model-version loading (Wan2.1 vs Wan2.2). Different bugs." + }, + { + "left": "issue:3826", + "right": "issue:5474", + "accept": false, + "reason": "These are separate new-pipeline proposals for different modalities and use cases." + }, + { + "left": "issue:12575", + "right": "issue:13043", + "accept": false, + "reason": "One is an attention-backend checks error; the other is a no-kernel-image failure on RTX 5090 with sage_hub attention backend. Related area, different concrete failure." + }, + { + "left": "issue:7056", + "right": "issue:7133", + "accept": false, + "reason": "One is a training_text_encoder error in SDXL LoRA finetuning; the other is a text-encoder size mismatch when resuming DreamBooth LoRA training. Different scenarios." + }, + { + "left": "issue:6758", + "right": "issue:6964", + "accept": false, + "reason": "InstantID num_images_per_prompt support and 4-channel UNet incompatibility are unrelated pipeline bugs." + }, + { + "left": "issue:1604", + "right": "issue:4936", + "accept": false, + "reason": "One is broken lpw_stable_diffusion.py on diffusers 0.9.0; the other is DreamBooth LoRA resume broken since 0.19.0. Different regressions." + }, + { + "left": "issue:1876", + "right": "issue:1979", + "accept": false, + "reason": "Both are model conversion issues, but one is about checkpoints missing state_dict and the other is a general SD-to-diffusers conversion failure. Not the same underlying bug." + }, + { + "left": "issue:5934", + "right": "issue:6096", + "accept": false, + "reason": "A general torch.compile error and an SVD-specific DynamicOutputShapeException are not the same bug." + }, + { + "left": "issue:4185", + "right": "issue:5689", + "accept": false, + "reason": "Black SDXL ControlNet outputs and residual noise in DPM++ are different generation-quality problems with different likely causes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 129, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10282", + "issue:10514", + "issue:10891", + "issue:11006", + "issue:11133", + "issue:11208", + "issue:11314", + "issue:11321", + "issue:12003", + "issue:12334", + "issue:1865", + "issue:2015", + "issue:2412", + "issue:3174", + "issue:3585", + "issue:3613", + "issue:4185", + "issue:4368", + "issue:4697", + "issue:4788", + "issue:5442", + "issue:5596", + "issue:5621", + "issue:6028", + "issue:6131", + "issue:6481", + "issue:6545", + "issue:6552", + "issue:6741", + "issue:6870", + "issue:7197", + "issue:7418", + "issue:7441", + "issue:7735", + "issue:7945", + "issue:7974", + "issue:7991", + "issue:8182", + "issue:858", + "issue:8732", + "issue:8885", + "issue:8955", + "issue:9045", + "issue:9343", + "issue:9476", + "issue:9913", + "issue:9927", + "issue:9971" + ], + "soft_pairs": [ + "issue:11314|issue:11321", + "issue:2015|issue:5442", + "issue:3174|issue:3585", + "issue:4697|issue:8885", + "issue:10891|issue:9476", + "issue:8182|issue:858", + "issue:5596|issue:8732", + "issue:10514|issue:11208", + "issue:6131|issue:7974", + "issue:10282|issue:9045", + "issue:1865|issue:2412", + "issue:6545|issue:6552", + "issue:7197|issue:9927", + "issue:7735|issue:9971", + "issue:11006|issue:11133", + "issue:3613|issue:4368", + "issue:6481|issue:6741", + "issue:6870|issue:7945", + "issue:8955|issue:9343", + "issue:12003|issue:12334", + "issue:4185|issue:5621", + "issue:4788|issue:6028", + "issue:7418|issue:7991", + "issue:7441|issue:9913" + ], + "prepared_review_unit_hash": "246f7c4a0719f545d3e054aa4f5a696463652205bc045e3ab5074c62032bb127", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33964, + "estimated_input_tokens": 8491, + "estimated_eval_tokens": 17238 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The candidate pairs mostly share only broad keywords (LoRA, ControlNet, training, OOM, loading) but describe different models, pipelines, or error modes. I would reject all soft edges; there is no clear single duplicate cluster here and no strong canonical issue/PR emerges from the set.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11314", + "right": "issue:11321", + "accept": false, + "reason": "One is a controlnet training-script logic bug, the other is a README/documentation problem; different artifact types and likely different fixes." + }, + { + "left": "issue:2015", + "right": "issue:5442", + "accept": false, + "reason": "Different features and pipelines: categorical diffusion vs ScaleCrafter higher-resolution generation." + }, + { + "left": "issue:3174", + "right": "issue:3585", + "accept": false, + "reason": "Both mention LoRA, but one is a model-loading regression in LoRA/dreambooth and the other is a failed LoRA synthesis workflow; not the same concrete bug." + }, + { + "left": "issue:4697", + "right": "issue:8885", + "accept": false, + "reason": "Both involve LoRA/token loading, but one is a specific LoRA loading regression after an update and the other is a Custom Diffusion example dependency/token issue." + }, + { + "left": "issue:10891", + "right": "issue:9476", + "accept": false, + "reason": "Both are dtype-related, but they affect different code paths and symptoms: DCAE bfloat16 conversion vs FLUX validation input/bias mismatch." + }, + { + "left": "issue:8182", + "right": "issue:858", + "accept": false, + "reason": "Completely unrelated errors: a logger typo versus a missing Parameter.named_children attribute." + }, + { + "left": "issue:5596", + "right": "issue:8732", + "accept": false, + "reason": "Different failure modes and scripts: a dataset/image-caption build error vs checkpoint-saving issue during advanced training." + }, + { + "left": "issue:10514", + "right": "issue:11208", + "accept": false, + "reason": "Different subsystems: Sana resolution binning/sample_size support vs SD3 ControlNet inpainting MultiControlNet support." + }, + { + "left": "issue:6131", + "right": "issue:7974", + "accept": false, + "reason": "Both mention IP-Adapter, but one is IP Adapter Plus not working and the other is an inpaint face/style use case; not clearly the same bug." + }, + { + "left": "issue:10282", + "right": "issue:9045", + "accept": false, + "reason": "A state-dict shape mismatch on x_embedder is a different problem from CUDA conversion with accelerate/peft." + }, + { + "left": "issue:1865", + "right": "issue:2412", + "accept": false, + "reason": "Different training paths and errors: DeepSpeed ZeRO stage3 dimension mismatch vs DreamBooth generic error." + }, + { + "left": "issue:6545", + "right": "issue:6552", + "accept": false, + "reason": "Both are tracker issues for examples, but they target different problems: modularized inference vs FP16 resume training." + }, + { + "left": "issue:7197", + "right": "issue:9927", + "accept": false, + "reason": "Different models and symptoms: resuming local SD1.5 training keyerror vs SDv3 controlnet header size error." + }, + { + "left": "issue:7735", + "right": "issue:9971", + "accept": false, + "reason": "A missing dataset column in training is unrelated to FLUX scheduler incompatibility." + }, + { + "left": "issue:11006", + "right": "issue:11133", + "accept": false, + "reason": "Both are video pipelines, but they involve different models and failure modes; not the same underlying code-path bug." + }, + { + "left": "issue:3613", + "right": "issue:4368", + "accept": false, + "reason": "Both are OOM reports, but on different training scripts/models and not the same concrete memory bug." + }, + { + "left": "issue:6481", + "right": "issue:6741", + "accept": false, + "reason": "DreamBooth batch-size failure and Diffusion DPO missing no_flip are unrelated script issues." + }, + { + "left": "issue:6870", + "right": "issue:7945", + "accept": false, + "reason": "A missing VAE tiling API in SD pipelines is unrelated to combining community pipelines." + }, + { + "left": "issue:8955", + "right": "issue:9343", + "accept": false, + "reason": "Different loading failures on different model classes and conditions; same broad theme, but not the same bug." + }, + { + "left": "issue:12003", + "right": "issue:12334", + "accept": false, + "reason": "Meta-tensor device-move failure and xformers attention enablement are unrelated issues." + }, + { + "left": "issue:4185", + "right": "issue:5621", + "accept": false, + "reason": "Both touch SDXL ControlNet, but one is black-image inference and the other is unsupported encoder_hid_proj; too different to merge." + }, + { + "left": "issue:4788", + "right": "issue:6028", + "accept": false, + "reason": "Both are OOMs, but for different models and contexts; not a duplicate." + }, + { + "left": "issue:7418", + "right": "issue:7991", + "accept": false, + "reason": "A community upscale pipeline bug and the basic training tutorial bug are unrelated." + }, + { + "left": "issue:7441", + "right": "issue:9913", + "accept": false, + "reason": "pytest/python3.12 compatibility and set_lora_device behavior are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 130, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10281", + "issue:10282", + "issue:10533", + "issue:10928", + "issue:1127", + "issue:11989", + "issue:1434", + "issue:1445", + "issue:1538", + "issue:2052", + "issue:2163", + "issue:2783", + "issue:2838", + "issue:307", + "issue:3233", + "issue:3284", + "issue:3428", + "issue:3453", + "issue:3612", + "issue:4037", + "issue:4109", + "issue:4185", + "issue:4353", + "issue:4356", + "issue:4453", + "issue:4733", + "issue:4826", + "issue:5224", + "issue:5540", + "issue:5607", + "issue:5630", + "issue:5757", + "issue:6252", + "issue:6333", + "issue:6382", + "issue:7306", + "issue:7480", + "issue:8414", + "issue:8540", + "issue:8729", + "issue:9047", + "issue:9051", + "issue:9063", + "issue:9101", + "issue:9178", + "issue:9911", + "issue:9996" + ], + "soft_pairs": [ + "issue:8540|issue:9101", + "issue:1434|issue:5540", + "issue:3428|issue:6382", + "issue:1538|issue:4109", + "issue:2163|issue:3453", + "issue:4037|issue:4826", + "issue:2052|issue:6252", + "issue:10281|issue:8414", + "issue:3233|issue:4453", + "issue:4185|issue:8729", + "issue:5224|issue:5607", + "issue:1127|issue:1445", + "issue:10282|issue:9996", + "issue:10928|issue:4356", + "issue:2783|issue:3612", + "issue:2838|issue:307", + "issue:2052|issue:5757", + "issue:6333|issue:9063", + "issue:4353|issue:5630", + "issue:7306|issue:7480", + "issue:9047|issue:9051", + "issue:9178|issue:9911", + "issue:10533|issue:11989", + "issue:3284|issue:4733" + ], + "prepared_review_unit_hash": "06fbed35673971ec1df221b6cd2261a3149c10ee4a86eb72152e920317590679", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33843, + "estimated_input_tokens": 8461, + "estimated_eval_tokens": 17178 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is highly heterogeneous: it mixes feature requests, training-script bugs, loading errors, and model-specific runtime failures across unrelated pipelines. None of the soft-similarity pairs look like the same underlying issue/change, so I would not merge any of them as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue stands out: the items span unrelated models, pipelines, and failure modes rather than one shared bug or request.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue for duplicate triage here; the cluster is too mixed for any one issue to serve as a representative duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8540", + "right": "issue:9101", + "accept": false, + "reason": "Different requests: SD3 dreambooth embedding/VAE caching vs adding an InstructPix2Pix training script." + }, + { + "left": "issue:1434", + "right": "issue:5540", + "accept": false, + "reason": "Both mention OOM, but the contexts differ: upscale pipeline at larger sizes vs generic inference OOM." + }, + { + "left": "issue:3428", + "right": "issue:6382", + "accept": false, + "reason": "Img2Img pipeline change bug vs IP-adapter key error in LCM SDXL training/inference; not the same code path." + }, + { + "left": "issue:1538", + "right": "issue:4109", + "accept": false, + "reason": "Different pipelines and failures: StableDiffusionMegaPipeline with SD2-base vs SDXL inpaint not working." + }, + { + "left": "issue:2163", + "right": "issue:3453", + "accept": false, + "reason": "Separate training failures: UNet dtype mismatch vs BFloat16 CUDA kernel not implemented." + }, + { + "left": "issue:4037", + "right": "issue:4826", + "accept": false, + "reason": "ControlNet-related, but one is FSDP validation errors and the other is MultiControlNet reference errors." + }, + { + "left": "issue:2052", + "right": "issue:6252", + "accept": false, + "reason": "Checkpoint resume problems in different scripts: textual inversion vs LoRA weight loading." + }, + { + "left": "issue:10281", + "right": "issue:8414", + "accept": false, + "reason": "A new scheduler request is not the same as a new text-to-audio model announcement." + }, + { + "left": "issue:3233", + "right": "issue:4453", + "accept": false, + "reason": "Both involve LoRA conversion, but one is a general conversion request and the other is about compatibility with AUTO1111 for SDXL LoRAs." + }, + { + "left": "issue:4185", + "right": "issue:8729", + "accept": false, + "reason": "Black-image inference bug vs unexpected validation image during training; different symptoms and likely causes." + }, + { + "left": "issue:5224", + "right": "issue:5607", + "accept": false, + "reason": "Unrelated errors: Flax SD 2.1 failure vs a tensor dimension mismatch." + }, + { + "left": "issue:1127", + "right": "issue:1445", + "accept": false, + "reason": "Different subsystems and failures: ONNX/DML import traceback vs legacy inpaint AttributeError." + }, + { + "left": "issue:10282", + "right": "issue:9996", + "accept": false, + "reason": "Both are Flux loading issues, but one is an x_embedder shape mismatch and the other is NF4 transformer loading support." + }, + { + "left": "issue:10928", + "right": "issue:4356", + "accept": false, + "reason": "Missing fp16 checkpoint file vs missing dummy module; unrelated errors." + }, + { + "left": "issue:2783", + "right": "issue:3612", + "accept": false, + "reason": "Both touch ControlNet, but one asks for an img2img/inpaint pipeline and the other asks for a model-free ControlNet setup." + }, + { + "left": "issue:2838", + "right": "issue:307", + "accept": false, + "reason": "A ControlNet-pipeline usage request is not the same as merging all Stable Diffusion pipelines into one." + }, + { + "left": "issue:2052", + "right": "issue:5757", + "accept": false, + "reason": "Different resume-from-checkpoint bugs in different training scripts and model types." + }, + { + "left": "issue:6333", + "right": "issue:9063", + "accept": false, + "reason": "PEFT LoRA fine-tuning request vs Flux tokenizer instantiation error; not the same underlying bug." + }, + { + "left": "issue:4353", + "right": "issue:5630", + "accept": false, + "reason": "Both concern SDXL quality, but one is generic poor output quality and the other is LMS scheduler residual noise in Img2Img." + }, + { + "left": "issue:7306", + "right": "issue:7480", + "accept": false, + "reason": "Different problems: float16 support in LEditsPPPipelineStableDiffusionXL vs DeepFloyd IF OOM." + }, + { + "left": "issue:9047", + "right": "issue:9051", + "accept": false, + "reason": "MPS device incompatibility is unrelated to batch inference support in FluxPipeline." + }, + { + "left": "issue:9178", + "right": "issue:9911", + "accept": false, + "reason": "Flux LoRA target-module errors and Flux multi-ControlNet layer-length errors are distinct failure modes." + }, + { + "left": "issue:10533", + "right": "issue:11989", + "accept": false, + "reason": "Both are black-image reports, but they concern different models/features and do not look like one concrete bug." + }, + { + "left": "issue:3284", + "right": "issue:4733", + "accept": false, + "reason": "Dreambooth LoRA accelerate failure vs checkpoint-resume optimizer error; different points of failure." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 131, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10337", + "issue:10612", + "issue:1076", + "issue:11160", + "issue:11258", + "issue:11418", + "issue:11581", + "issue:1188", + "issue:11922", + "issue:12329", + "issue:13008", + "issue:1305", + "issue:13105", + "issue:13232", + "issue:1445", + "issue:1851", + "issue:2695", + "issue:2776", + "issue:3391", + "issue:3451", + "issue:3613", + "issue:3812", + "issue:3885", + "issue:3984", + "issue:4885", + "issue:5004", + "issue:5025", + "issue:5442", + "issue:5798", + "issue:5917", + "issue:5931", + "issue:6252", + "issue:6336", + "issue:7237", + "issue:7306", + "issue:7341", + "issue:7432", + "issue:7722", + "issue:8708", + "issue:8922", + "issue:8970", + "issue:9148", + "issue:9167", + "issue:9171", + "issue:9665", + "issue:9861", + "issue:987", + "issue:9873" + ], + "soft_pairs": [ + "issue:1305|issue:5442", + "issue:2776|issue:3984", + "issue:5004|issue:8708", + "issue:5025|issue:9167", + "issue:5931|issue:9171", + "issue:9148|issue:9873", + "issue:9665|issue:9861", + "issue:11160|issue:13105", + "issue:1445|issue:5917", + "issue:3391|issue:987", + "issue:4885|issue:6252", + "issue:6336|issue:7722", + "issue:8922|issue:8970", + "issue:2695|issue:3812", + "issue:1076|issue:1188", + "issue:13008|issue:13232", + "issue:7237|issue:7341", + "issue:11258|issue:12329", + "issue:1851|issue:3613", + "issue:11581|issue:5798", + "issue:7306|issue:7432", + "issue:3451|issue:3885", + "issue:10337|issue:10612", + "issue:11418|issue:11922" + ], + "prepared_review_unit_hash": "e18f480678bd3ebeccc0dde42a422c31a95344192b9a455797411995a00decb8", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33996, + "estimated_input_tokens": 8499, + "estimated_eval_tokens": 17254 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No strong duplicate cluster emerges here; the items span many unrelated bugs, regressions, and feature requests. The soft pairs are mostly broad topical similarities rather than the same underlying issue.", + "confidence": 0.9, + "canonical_issue_reason": "Issue 11581 is the most concrete and actionable Flux-related bug in the set, with an explicit traceback and a clear adapter-loading failure mode.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11581 is the best single issue to anchor this set because it states a specific Flux/IP-Adapter failure and likely attracts the most relevant fix discussion.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1305", + "right": "issue:5442", + "accept": false, + "reason": "Both are diffusion-model papers/features, but they describe different pipelines and problems with no shared code-path bug." + }, + { + "left": "issue:2776", + "right": "issue:3984", + "accept": false, + "reason": "One is Dreambooth/DeepSpeed setup, the other is a class-label validation error; same training area but not the same defect." + }, + { + "left": "issue:5004", + "right": "issue:8708", + "accept": false, + "reason": "Checkpoint resume fp16 and missing SD3 shift_factor are distinct training issues." + }, + { + "left": "issue:5025", + "right": "issue:9167", + "accept": false, + "reason": "Both are import errors, but for different symbols and different API surfaces." + }, + { + "left": "issue:5931", + "right": "issue:9171", + "accept": false, + "reason": "Determinism concerns are unrelated to the v_prediction single-file regression." + }, + { + "left": "issue:9148", + "right": "issue:9873", + "accept": false, + "reason": "Both are feature requests for adding pipelines, but for different models and no shared change request." + }, + { + "left": "issue:9665", + "right": "issue:9861", + "accept": false, + "reason": "Training/accelerator behavior is too broad here; one is DeepSpeed config interaction, the other is Flux transformer not updating." + }, + { + "left": "issue:11160", + "right": "issue:13105", + "accept": false, + "reason": "Both involve Wan models, but one is inconsistent inference in I2V and the other is noisy T2V output." + }, + { + "left": "issue:1445", + "right": "issue:5917", + "accept": false, + "reason": "Different pipeline/version breakages with unrelated error modes." + }, + { + "left": "issue:3391", + "right": "issue:987", + "accept": false, + "reason": "Both mention bad image outputs, but the models, modalities, and symptoms differ." + }, + { + "left": "issue:4885", + "right": "issue:6252", + "accept": false, + "reason": "Both concern LoRA loading, but in different contexts and failure points; not clearly the same bug." + }, + { + "left": "issue:6336", + "right": "issue:7722", + "accept": false, + "reason": "TensorRT VAE compilation with AutoencoderTiny is unrelated to AnimateDiff ControlNet/IP-Adapter runtime errors." + }, + { + "left": "issue:8922", + "right": "issue:8970", + "accept": false, + "reason": "Both produce black images, but they are different models and likely different root causes." + }, + { + "left": "issue:2695", + "right": "issue:3812", + "accept": false, + "reason": "Validation TensorBoard failure and missing controlnet config are unrelated training/config issues." + }, + { + "left": "issue:1076", + "right": "issue:1188", + "accept": false, + "reason": "These are completely unrelated model/pipeline topics." + }, + { + "left": "issue:13008", + "right": "issue:13232", + "accept": false, + "reason": "Both are support requests, but they target different FLUX/LTX features and do not share a concrete bug." + }, + { + "left": "issue:7237", + "right": "issue:7341", + "accept": false, + "reason": "Scheduler lookup and TorchVersion comparison errors are different code paths and different failures." + }, + { + "left": "issue:11258", + "right": "issue:12329", + "accept": false, + "reason": "Both involve single-file model loading, but for different model families and different misclassification/loading logic." + }, + { + "left": "issue:1851", + "right": "issue:3613", + "accept": false, + "reason": "Performance slowdown and out-of-memory are not the same bug." + }, + { + "left": "issue:11581", + "right": "issue:5798", + "accept": false, + "reason": "Both are TypeError-style failures, but they involve different classes, arguments, and subsystems." + }, + { + "left": "issue:7306", + "right": "issue:7432", + "accept": false, + "reason": "Float16 usage failure in one pipeline is unrelated to output mismatch versus WebUI in another." + }, + { + "left": "issue:3451", + "right": "issue:3885", + "accept": false, + "reason": "One reports fp16 memory regression, the other asks for VRAM reduction advice; same topic but not the same issue." + }, + { + "left": "issue:10337", + "right": "issue:10612", + "accept": false, + "reason": "Both are Flux quantized-loading problems, but one is IP-Adapter failure and the other is LoRA loading into NF4 Flux Fill; too different to merge." + }, + { + "left": "issue:11418", + "right": "issue:11922", + "accept": false, + "reason": "Both mention Flux.1-Fill-dev, but one is about adding a specific fp8 file and the other is a running problem; not the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 132, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10147", + "issue:10540", + "issue:1076", + "issue:10866", + "issue:11088", + "issue:11092", + "issue:11561", + "issue:11581", + "issue:11878", + "issue:11978", + "issue:1261", + "issue:12666", + "issue:13043", + "issue:13142", + "issue:1392", + "issue:1574", + "issue:1657", + "issue:1734", + "issue:1934", + "issue:2053", + "issue:2107", + "issue:228", + "issue:2420", + "issue:2480", + "issue:2495", + "issue:259", + "issue:3065", + "issue:3325", + "issue:3468", + "issue:4080", + "issue:4269", + "issue:4427", + "issue:4542", + "issue:4830", + "issue:4880", + "issue:5769", + "issue:6928", + "issue:7185", + "issue:7405", + "issue:7931", + "issue:8414", + "issue:8626", + "issue:8667", + "issue:9069", + "issue:9366", + "issue:964", + "issue:9744" + ], + "soft_pairs": [ + "issue:11978|issue:8414", + "issue:12666|issue:13142", + "issue:1574|issue:1734", + "issue:2107|issue:2495", + "issue:228|issue:259", + "issue:4830|issue:8667", + "issue:5769|issue:7185", + "issue:7405|issue:9744", + "issue:1261|issue:964", + "issue:11088|issue:11878", + "issue:2420|issue:3325", + "issue:10147|issue:11561", + "issue:4080|issue:6928", + "issue:11092|issue:9366", + "issue:1934|issue:2053", + "issue:2480|issue:3468", + "issue:10866|issue:13043", + "issue:4427|issue:7931", + "issue:4542|issue:8626", + "issue:10010|issue:10540", + "issue:1076|issue:1392", + "issue:11581|issue:9069", + "issue:1657|issue:3065", + "issue:4269|issue:4880" + ], + "prepared_review_unit_hash": "8d6b2fbdc446cac84010872b91813c22ff3eb227b9815744a9129f718b8d9333", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34196, + "estimated_input_tokens": 8549, + "estimated_eval_tokens": 17354 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is heterogeneous; most soft pairs share only broad subsystem/model keywords, not the same concrete bug or change. I would reject all soft edges and treat this as no clear duplicate cluster.", + "confidence": 0.87, + "canonical_issue_reason": "No single canonical issue stands out: the items are mostly unrelated bug reports and feature requests, with no accepted duplicate thread to anchor the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue for duplicate triage; none of these should absorb the others as a canonical duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11978", + "right": "issue:8414", + "accept": false, + "reason": "Different new-model requests (text-to-image vs text-to-audio); no shared bug or change." + }, + { + "left": "issue:12666", + "right": "issue:13142", + "accept": false, + "reason": "Both are loading/version complaints, but they involve different pipelines and different transformer-related failures." + }, + { + "left": "issue:1574", + "right": "issue:1734", + "accept": false, + "reason": "Both mention DreamBooth, but one is a low-memory training failure and the other is multi-GPU slowdown." + }, + { + "left": "issue:2107", + "right": "issue:2495", + "accept": false, + "reason": "Both mention black/glitchy output, but the trigger and code path differ (low-resolution generation vs MPS upscale)." + }, + { + "left": "issue:228", + "right": "issue:259", + "accept": false, + "reason": "A broken release link and a progress-bar fix are unrelated issues." + }, + { + "left": "issue:4830", + "right": "issue:8667", + "accept": false, + "reason": "Both are tensor-shape bugs in ControlNet, but they affect different models and different image-shape conditions." + }, + { + "left": "issue:5769", + "right": "issue:7185", + "accept": false, + "reason": "Mixed-precision training question vs PyTorch version support question; not the same bug." + }, + { + "left": "issue:7405", + "right": "issue:9744", + "accept": false, + "reason": "Separate new-model requests with no shared implementation defect." + }, + { + "left": "issue:1261", + "right": "issue:964", + "accept": false, + "reason": "xFormers backward-pass CUDA assert vs inpainting example failure; different code paths." + }, + { + "left": "issue:11088", + "right": "issue:11878", + "accept": false, + "reason": "Same Wan/GGUF family, but different model classes and failure details; likely separate fixes." + }, + { + "left": "issue:2420", + "right": "issue:3325", + "accept": false, + "reason": "Different training scripts and distinct runtime errors." + }, + { + "left": "issue:10147", + "right": "issue:11561", + "accept": false, + "reason": "Different adapter feature requests for different pipelines, not the same bug." + }, + { + "left": "issue:4080", + "right": "issue:6928", + "accept": false, + "reason": "Inpainting pipeline request vs Marigold depthmap colorization option; unrelated." + }, + { + "left": "issue:11092", + "right": "issue:9366", + "accept": false, + "reason": "Both are img2img step/strength edge cases, but they target different schedulers/pipelines and do not clearly share one fix." + }, + { + "left": "issue:1934", + "right": "issue:2053", + "accept": false, + "reason": "Both concern memory usage, but one is cpu_offload VRAM growth and the other is a general VRAM regression." + }, + { + "left": "issue:2480", + "right": "issue:3468", + "accept": false, + "reason": "Both are DreamBooth output-structure problems, but missing per-checkpoint unet folders and missing model_index.json are different failures." + }, + { + "left": "issue:10866", + "right": "issue:13043", + "accept": false, + "reason": "A Lumina LoRA compatibility issue and an RTX 5090 kernel-image error are unrelated." + }, + { + "left": "issue:4427", + "right": "issue:7931", + "accept": false, + "reason": "Different adapter integrations: MultiAdapter example vs IP-Adapter embeddings in SDXL inpaint." + }, + { + "left": "issue:4542", + "right": "issue:8626", + "accept": false, + "reason": "Output-count limitation vs guidance docs for multiple IP-Adapter images/masks; not the same underlying bug." + }, + { + "left": "issue:10010", + "right": "issue:10540", + "accept": false, + "reason": "Both are Flux Fill-related, but one is a missing model repo file and the other is a from_single_file regression after Flux Fill support was added." + }, + { + "left": "issue:1076", + "right": "issue:1392", + "accept": false, + "reason": "Very different Stable Diffusion topics from different eras; not duplicates." + }, + { + "left": "issue:11581", + "right": "issue:9069", + "accept": false, + "reason": "Different error domains: FLUX IP-Adapter dtype handling vs a numpy ndarray type mismatch." + }, + { + "left": "issue:1657", + "right": "issue:3065", + "accept": false, + "reason": "A notebook request and a DreamBooth LoRA training option are unrelated." + }, + { + "left": "issue:4269", + "right": "issue:4880", + "accept": false, + "reason": "Both involve ControlNet input validation, but they are distinct API errors with different triggers." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 133, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10591", + "issue:11864", + "issue:11978", + "issue:12107", + "issue:13107", + "issue:13249", + "issue:13261", + "issue:13484", + "issue:1566", + "issue:2375", + "issue:2606", + "issue:2856", + "issue:4109", + "issue:4265", + "issue:4286", + "issue:4398", + "issue:4530", + "issue:4551", + "issue:4598", + "issue:4925", + "issue:4974", + "issue:5023", + "issue:5433", + "issue:5488", + "issue:5509", + "issue:5515", + "issue:5544", + "issue:5743", + "issue:5894", + "issue:6481", + "issue:6794", + "issue:7021", + "issue:7347", + "issue:7431", + "issue:7681", + "issue:8557", + "issue:8871", + "issue:9042", + "issue:9089", + "issue:9109", + "issue:9112", + "issue:9164", + "issue:9393", + "issue:9454", + "issue:9497", + "issue:9546", + "issue:9613" + ], + "soft_pairs": [ + "issue:4109|issue:4286", + "issue:7431|issue:9497", + "issue:13249|issue:13261", + "issue:11864|issue:2375", + "issue:4598|issue:9109", + "issue:11978|issue:9042", + "issue:5544|issue:7681", + "issue:6481|issue:9393", + "issue:1566|issue:4551", + "issue:12107|issue:9613", + "issue:5488|issue:5509", + "issue:10591|issue:8557", + "issue:2856|issue:4974", + "issue:4265|issue:6794", + "issue:4398|issue:4530", + "issue:4925|issue:9546", + "issue:9089|issue:9454", + "issue:2606|issue:5743", + "issue:13107|issue:13484", + "issue:5023|issue:7021", + "issue:5433|issue:5515", + "issue:5894|issue:9112", + "issue:9164|issue:9393", + "issue:7347|issue:8871" + ], + "prepared_review_unit_hash": "dbdc4f97bb27d87d511543668ca2f641fed2235ec7d58e48be1ae6e870ab8fb0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33471, + "estimated_input_tokens": 8368, + "estimated_eval_tokens": 16992 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a loose topical cluster around diffusers training/pipeline bugs, but the soft pairs describe different models, error modes, and feature requests. None of the pairs look like true duplicates or the same fixable code-path issue, so all soft edges should be rejected. No PRs are present.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:13261 is the strongest representative issue in the set because it has the richest discussion and the clearest concrete regression around Flux.2-klein-9B LoRA/lokr behavior.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4109", + "right": "issue:4286", + "accept": false, + "reason": "Both are SDXL/LoRA-related, but one is an inpaint pipeline failure and the other is a load_lora_weights issue; different concrete bugs." + }, + { + "left": "issue:7431", + "right": "issue:9497", + "accept": false, + "reason": "Both mention training with text encoders, but one is Dreambooth DoRA issues and the other is a Flux mat2 shape error; not the same underlying failure." + }, + { + "left": "issue:13249", + "right": "issue:13261", + "accept": false, + "reason": "Both concern Flux/Z-Image LoRA breakage, but they target different models and error contexts; not clearly one duplicate bug." + }, + { + "left": "issue:11864", + "right": "issue:2375", + "accept": false, + "reason": "Different NameError sites and code paths: AutoencoderDC.compile vs safe_open import; only superficially similar runtime errors." + }, + { + "left": "issue:4598", + "right": "issue:9109", + "accept": false, + "reason": "Both are import/dependency issues, but one is generic dependency messaging and the other is a missing torchvision operator; distinct problems." + }, + { + "left": "issue:11978", + "right": "issue:9042", + "accept": false, + "reason": "A pipeline request for Bria 3.2 and a Flux pipeline add request are different model integrations, not duplicates." + }, + { + "left": "issue:5544", + "right": "issue:7681", + "accept": false, + "reason": "One is a FreeU disable error in SDXL; the other is an environment/library import failure from OpenSSL/crypto. Different causes." + }, + { + "left": "issue:6481", + "right": "issue:9393", + "accept": false, + "reason": "Both are training failures, but one is batch-size handling in Dreambooth and the other is Deepspeed save-model on Flux; not the same bug." + }, + { + "left": "issue:1566", + "right": "issue:4551", + "accept": false, + "reason": "Both are Dreambooth crashes, but one is fp16 checkpoint saving and the other is an SDXL base model crash; different failure points." + }, + { + "left": "issue:12107", + "right": "issue:9613", + "accept": false, + "reason": "An accelerator tracker input-type error and a Timesteps.scale attribute error are unrelated runtime issues." + }, + { + "left": "issue:5488", + "right": "issue:5509", + "accept": false, + "reason": "A demo image-generation failure and an image/prompt batch-size mismatch are not the same concrete bug." + }, + { + "left": "issue:10591", + "right": "issue:8557", + "accept": false, + "reason": "SD3 LoRA training script concerns and SD3 token-limit training concerns are different problems." + }, + { + "left": "issue:2856", + "right": "issue:4974", + "accept": false, + "reason": "Both mention conversion to diffusers, but one is SD model conversion in general and the other is safetensor-to-diffusers conversion; insufficiently specific to be duplicates." + }, + { + "left": "issue:4265", + "right": "issue:6794", + "accept": false, + "reason": "Both are import errors, but they involve different symbols, modules, and failure conditions." + }, + { + "left": "issue:4398", + "right": "issue:4530", + "accept": false, + "reason": "Both involve image artifacts, but one is black images from an SDXL LoRA-dreambooth pipeline and the other is small RGB artifacts from the refiner; different symptom and path." + }, + { + "left": "issue:4925", + "right": "issue:9546", + "accept": false, + "reason": "Both are memory issues during training/validation, but they affect different Flux ControlNet scenarios and likely different code paths." + }, + { + "left": "issue:9089", + "right": "issue:9454", + "accept": false, + "reason": "A missing Flux pipeline class and a missing CogVideoX Image2Video model are separate model-registration issues." + }, + { + "left": "issue:2606", + "right": "issue:5743", + "accept": false, + "reason": "Both are training hangs, but one is DeepSpeed save_state deadlock and the other is LCD training stuck at 0%; not enough to treat as the same bug." + }, + { + "left": "issue:13107", + "right": "issue:13484", + "accept": false, + "reason": "Both are LoRA loading problems on Flux-family models, but one is missing key errors for Flux Klein LoRA and the other is FAL lora loading failure on Flux 2 dev." + }, + { + "left": "issue:5023", + "right": "issue:7021", + "accept": false, + "reason": "A pipeline import error and an HF_HOME-related import error are unrelated." + }, + { + "left": "issue:5433", + "right": "issue:5515", + "accept": false, + "reason": "One is SDXL visual artifacts with DPM++ schedulers; the other is LCM pipeline initialization failure without scheduler. Different concrete issues." + }, + { + "left": "issue:5894", + "right": "issue:9112", + "accept": false, + "reason": "An invalid buffer size runtime error and an Auraflow tensor shape mismatch are distinct runtime failures." + }, + { + "left": "issue:9164", + "right": "issue:9393", + "accept": false, + "reason": "Both involve Flux LoRA training, but one is non-convergence on an example and the other is a Deepspeed model-saving failure." + }, + { + "left": "issue:7347", + "right": "issue:8871", + "accept": false, + "reason": "Both are LoRA training regressions, but one is a latest-update training failure and the other is FP16 unscale gradient errors; not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 134, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10239", + "issue:10453", + "issue:10674", + "issue:10797", + "issue:10863", + "issue:11436", + "issue:1475", + "issue:1534", + "issue:1931", + "issue:2577", + "issue:3111", + "issue:3174", + "issue:3418", + "issue:3468", + "issue:3595", + "issue:3623", + "issue:3661", + "issue:3700", + "issue:3876", + "issue:4236", + "issue:4321", + "issue:435", + "issue:4427", + "issue:4593", + "issue:4911", + "issue:4975", + "issue:5044", + "issue:5509", + "issue:5963", + "issue:6176", + "issue:6506", + "issue:6560", + "issue:6815", + "issue:6974", + "issue:7033", + "issue:7168", + "issue:7348", + "issue:7483", + "issue:761", + "issue:8287", + "issue:8922", + "issue:9007", + "issue:9051", + "issue:9069", + "issue:9136", + "issue:9914", + "issue:9971" + ], + "soft_pairs": [ + "issue:3468|issue:3700", + "issue:10239|issue:10453", + "issue:1475|issue:761", + "issue:3111|issue:3418", + "issue:1931|issue:4427", + "issue:10674|issue:9051", + "issue:4236|issue:6974", + "issue:4911|issue:8287", + "issue:5044|issue:5963", + "issue:10674|issue:7483", + "issue:10863|issue:9914", + "issue:6176|issue:6560", + "issue:3174|issue:4975", + "issue:3623|issue:4593", + "issue:3595|issue:3661", + "issue:6815|issue:9007", + "issue:11436|issue:9069", + "issue:3876|issue:7348", + "issue:5509|issue:6506", + "issue:2577|issue:7168", + "issue:4321|issue:8922", + "issue:7033|issue:9136", + "issue:10797|issue:9971", + "issue:1534|issue:435" + ], + "prepared_review_unit_hash": "7553a44c352738679fc5373ad88a6f404d860a341f25ffd0a48b746cb48918d0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33339, + "estimated_input_tokens": 8335, + "estimated_eval_tokens": 16926 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of weakly similar but unrelated issue reports across pipelines, LoRA/DreamBooth, loading, scheduler, and dtype bugs. No soft pair looks like the same concrete underlying defect, so none should be merged as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": "Issue 10674 is the broadest representative of the loose model-loading / pipeline-compatibility theme, but the cluster is too heterogeneous for a true duplicate canonical.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10674 is the best single representative of the noisy set because it is a concrete runtime failure in a major pipeline, but it does not unify the other items as duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3468", + "right": "issue:3700", + "accept": false, + "reason": "Both are training-related, but one is about missing model_index.json after DreamBooth and the other about min_snr support in LoRA training; different bugs." + }, + { + "left": "issue:10239", + "right": "issue:10453", + "accept": false, + "reason": "HunyuanVideo offload support and HunyuanVideo batch size limits are separate runtime limitations, not the same defect." + }, + { + "left": "issue:1475", + "right": "issue:761", + "accept": false, + "reason": "DreamBooth/textual inversion class-image handling is unrelated to 8-bit Adam optimizer failures." + }, + { + "left": "issue:3111", + "right": "issue:3418", + "accept": false, + "reason": "Custom conditioning encoder support and adding text-encoder code to the LoRA script are related feature requests, but not the same bug." + }, + { + "left": "issue:1931", + "right": "issue:4427", + "accept": false, + "reason": "Float16 dtype mismatch in SD2 is not the same as the T2I multi-adapter example failing." + }, + { + "left": "issue:10674", + "right": "issue:9051", + "accept": false, + "reason": "Both mention FluxPipeline, but one is GGUF loading and the other is batch inference support; distinct issues." + }, + { + "left": "issue:4236", + "right": "issue:6974", + "accept": false, + "reason": "SDXL refiner text-encoder registration and unloading textual inversion components are different code paths." + }, + { + "left": "issue:4911", + "right": "issue:8287", + "accept": false, + "reason": "Loading a custom text encoder from_single_file and handling text_encoder=None are different failure modes." + }, + { + "left": "issue:5044", + "right": "issue:5963", + "accept": false, + "reason": "Kandinsky 2.2 load failure and Kandinsky 3 prompt-embedding handling are separate model/version bugs." + }, + { + "left": "issue:10674", + "right": "issue:7483", + "accept": false, + "reason": "Flux GGUF loading and SDXL LoRA conversion are unrelated features." + }, + { + "left": "issue:10863", + "right": "issue:9914", + "accept": false, + "reason": "Local safetensors loading errors and Flux Xlabs LoRA loading problems are different issues." + }, + { + "left": "issue:6176", + "right": "issue:6560", + "accept": false, + "reason": "Both involve LoRA, but one is post-DreamBooth LoRA loading and the other is a shape-size regression." + }, + { + "left": "issue:3174", + "right": "issue:4975", + "accept": false, + "reason": "LoRA+DreamBooth loading breakage and repeated datatype-query inefficiency are not the same bug." + }, + { + "left": "issue:3623", + "right": "issue:4593", + "accept": false, + "reason": "Unable to load larger models is a generic capacity/loading complaint, while the other is a specific LoRA rank constraint." + }, + { + "left": "issue:3595", + "right": "issue:3661", + "accept": false, + "reason": "Both concern from_ckpt, but one is a generic failure and the other is specifically SD2 weights; not enough to treat as one bug." + }, + { + "left": "issue:6815", + "right": "issue:9007", + "accept": false, + "reason": "Both end in black output, but the warning/cast path and the DPMSolverSinglestepScheduler order-3 issue appear to have different causes." + }, + { + "left": "issue:11436", + "right": "issue:9069", + "accept": false, + "reason": "Half-vs-bfloat16 dtype mismatch and np.ndarray type confusion are entirely different errors." + }, + { + "left": "issue:3876", + "right": "issue:7348", + "accept": false, + "reason": "Same broad pipeline family, but different scheduler/pipeline behaviors with different symptoms." + }, + { + "left": "issue:5509", + "right": "issue:6506", + "accept": false, + "reason": "Batch-size validation for image inputs is unrelated to StableVideoDiffusion returning a list instead of np.ndarray." + }, + { + "left": "issue:2577", + "right": "issue:7168", + "accept": false, + "reason": "DDIMInverseScheduler problems and IP-Adapter embed shape issues do not share a concrete code-path bug." + }, + { + "left": "issue:4321", + "right": "issue:8922", + "accept": false, + "reason": "Both produce black images, but one is an ONNX DirectML FP16 issue and the other is SD3 quantized T5 zero-output; different causes." + }, + { + "left": "issue:7033", + "right": "issue:9136", + "accept": false, + "reason": "Attention masking warning logs and image-quality degradation at some resolutions are not the same defect." + }, + { + "left": "issue:10797", + "right": "issue:9971", + "accept": false, + "reason": "HunyuanVideo group offloading and FLUX DEIS scheduler behavior are separate model/subsystem problems." + }, + { + "left": "issue:1534", + "right": "issue:435", + "accept": false, + "reason": "Both are notebook training errors, but DreamBooth notebook failure and textual inversion AutoencoderKLOutput attribute error are different bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 135, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10025", + "issue:10954", + "issue:11006", + "issue:11050", + "issue:11418", + "issue:11464", + "issue:1185", + "issue:12037", + "issue:12071", + "issue:12107", + "issue:122", + "issue:1398", + "issue:1475", + "issue:1537", + "issue:1572", + "issue:1672", + "issue:1949", + "issue:2036", + "issue:2107", + "issue:2218", + "issue:2371", + "issue:2552", + "issue:2838", + "issue:2858", + "issue:2991", + "issue:3222", + "issue:3238", + "issue:4101", + "issue:4255", + "issue:4398", + "issue:4476", + "issue:4932", + "issue:4954", + "issue:5510", + "issue:5570", + "issue:5633", + "issue:6351", + "issue:6520", + "issue:6540", + "issue:6686", + "issue:7142", + "issue:7801", + "issue:861", + "issue:8668", + "issue:8729", + "issue:9179", + "issue:9223", + "issue:9717" + ], + "soft_pairs": [ + "issue:3238|issue:861", + "issue:11050|issue:7801", + "issue:2107|issue:4398", + "issue:3222|issue:6686", + "issue:11464|issue:9717", + "issue:4476|issue:8729", + "issue:6520|issue:9179", + "issue:4255|issue:7142", + "issue:5570|issue:9223", + "issue:5510|issue:8668", + "issue:11006|issue:12037", + "issue:10025|issue:12071", + "issue:10954|issue:11418", + "issue:1185|issue:2371", + "issue:12107|issue:6351", + "issue:122|issue:4101", + "issue:1398|issue:1537", + "issue:1475|issue:4954", + "issue:1572|issue:4932", + "issue:1672|issue:2036", + "issue:1949|issue:2552", + "issue:2218|issue:5633", + "issue:2838|issue:2858", + "issue:2991|issue:6540" + ], + "prepared_review_unit_hash": "2ae7712b381ed2e855e8c6e271d8896628e7f7c7c7e668af2b8a6defab088f8c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34162, + "estimated_input_tokens": 8541, + "estimated_eval_tokens": 17338 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a grab bag of unrelated diffusers/Flux/Wan issues rather than a real duplicate cluster. None of the soft pairs look like the same underlying bug or change, so they should stay separate.", + "confidence": 0.78, + "canonical_issue_reason": "No single true canonical issue emerges from this mixed set; if one representative is needed, issue 11464 is the most concrete and self-contained bug report (FluxControlPipeline LoRA loading).", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11464 is the strongest canonical anchor because it describes a specific failing code path with a clear user-visible error, unlike the more generic or symptom-level reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3238", + "right": "issue:861", + "accept": false, + "reason": "Both concern conversion workflows, but one is LoRA safetensor conversion and the other is ckpt-to-diffusers conversion; different code paths and failure modes." + }, + { + "left": "issue:11050", + "right": "issue:7801", + "accept": false, + "reason": "Both mention mixed precision, but one is a training-script dtype cast bug and the other says the model is not actually fp16; not the same concrete defect." + }, + { + "left": "issue:2107", + "right": "issue:4398", + "accept": false, + "reason": "Different symptoms and models: low-resolution/glitchy output after conversion versus all-black SDXL LoRA dreambooth images." + }, + { + "left": "issue:3222", + "right": "issue:6686", + "accept": false, + "reason": "Missing output artifact after training is unrelated to Dynamo compilation performance after save/load." + }, + { + "left": "issue:11464", + "right": "issue:9717", + "accept": false, + "reason": "Both are Flux-related, but one is LoRA loading into FluxControlPipeline and the other is a Flux-dev docker image error; not the same bug." + }, + { + "left": "issue:4476", + "right": "issue:8729", + "accept": false, + "reason": "Both touch SDXL ControlNet training, but one is bad results on fill50k and the other is unexpected validation images in a webdataset script; too different to merge." + }, + { + "left": "issue:6520", + "right": "issue:9179", + "accept": false, + "reason": "Both are training/validation quality complaints, but they involve different scripts and symptoms, so they are not clearly the same bug." + }, + { + "left": "issue:4255", + "right": "issue:7142", + "accept": false, + "reason": "Both compare Diffusers against webui, but the models, pipelines, and observed failures differ." + }, + { + "left": "issue:5570", + "right": "issue:9223", + "accept": false, + "reason": "A missing helper function in a package release is not the same as a dependency version conflict between pyarrow/datasets packages." + }, + { + "left": "issue:5510", + "right": "issue:8668", + "accept": false, + "reason": "Different error classes and pipelines: dtype mismatch in SDXL InstructPix2Pix versus image-size alignment failure in SD3 img2img." + }, + { + "left": "issue:11006", + "right": "issue:12037", + "accept": false, + "reason": "Both are Wan issues, but one is broken I2V output with a quantized transformer and the other is LoRA compatibility in Wan 2.2; separate defects." + }, + { + "left": "issue:10025", + "right": "issue:12071", + "accept": false, + "reason": "Both are Flux transformer issues, but one is about attention masks and the other about changed single-block forward behavior; not the same concrete change." + }, + { + "left": "issue:10954", + "right": "issue:11418", + "accept": false, + "reason": "One is a LoRA failing to load and the other is a question about adding a specific FP8 weights file; not the same problem." + }, + { + "left": "issue:1185", + "right": "issue:2371", + "accept": false, + "reason": "Dreambooth reproducibility problems and missing objects in output are related only loosely; they describe different failure modes." + }, + { + "left": "issue:12107", + "right": "issue:6351", + "accept": false, + "reason": "These are unrelated runtime errors in different subsystems: tracker initialization with custom objects versus DDP lacking disable_adapters." + }, + { + "left": "issue:122", + "right": "issue:4101", + "accept": false, + "reason": "A Python exceptions import error is unrelated to a ControlNet-to-diffusers conversion failure." + }, + { + "left": "issue:1398", + "right": "issue:1537", + "accept": false, + "reason": "Both are Apple MPS reports, but one is about Stable Diffusion 2 generally and the other about specific schedulers; not the same bug." + }, + { + "left": "issue:1475", + "right": "issue:4954", + "accept": false, + "reason": "Training with two class image types and a pickle unpickling error are entirely different issues." + }, + { + "left": "issue:1572", + "right": "issue:4932", + "accept": false, + "reason": "One is a pipeline capability failure for img2img/inpainting, the other is missing Dreambooth output weights." + }, + { + "left": "issue:1672", + "right": "issue:2036", + "accept": false, + "reason": "Wrong output image size after conversion is not the same as an OSError loading a Stable Diffusion model." + }, + { + "left": "issue:1949", + "right": "issue:2552", + "accept": false, + "reason": "Tutorial training errors and an inpainting-pipeline question are not the same underlying bug." + }, + { + "left": "issue:2218", + "right": "issue:5633", + "accept": false, + "reason": "Overtraining during training and a bug in transformer_temporal.py have no clear overlap in code path or symptom." + }, + { + "left": "issue:2838", + "right": "issue:2858", + "accept": false, + "reason": "A ControlNet pipeline API request is unrelated to adding a seed image to an UnCLIP img2img pipeline." + }, + { + "left": "issue:2991", + "right": "issue:6540", + "accept": false, + "reason": "Mixed-precision ControlNet example failure and FSDP mat2 matrix runtime error are distinct training-time bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 136, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11241", + "issue:11436", + "issue:11581", + "issue:11592", + "issue:11791", + "issue:12319", + "issue:1541", + "issue:1672", + "issue:1931", + "issue:2363", + "issue:2549", + "issue:2659", + "issue:3065", + "issue:3112", + "issue:3296", + "issue:3401", + "issue:3418", + "issue:3480", + "issue:3926", + "issue:4198", + "issue:4213", + "issue:4304", + "issue:4709", + "issue:4852", + "issue:5075", + "issue:5178", + "issue:5285", + "issue:5892", + "issue:5897", + "issue:5917", + "issue:5963", + "issue:6222", + "issue:6372", + "issue:6382", + "issue:6584", + "issue:7021", + "issue:7133", + "issue:7138", + "issue:7168", + "issue:7237", + "issue:7690", + "issue:8359", + "issue:8493", + "issue:8649", + "issue:9136", + "issue:9424", + "issue:9484", + "issue:9613" + ], + "soft_pairs": [ + "issue:3065|issue:4304", + "issue:3112|issue:6372", + "issue:3418|issue:3480", + "issue:3926|issue:5285", + "issue:5178|issue:5917", + "issue:5892|issue:7021", + "issue:5917|issue:5963", + "issue:7168|issue:9136", + "issue:7237|issue:9424", + "issue:11436|issue:11581", + "issue:11241|issue:9484", + "issue:2549|issue:4213", + "issue:2659|issue:6222", + "issue:1541|issue:3296", + "issue:2363|issue:6584", + "issue:4852|issue:8493", + "issue:7690|issue:8359", + "issue:7133|issue:7138", + "issue:11791|issue:12319", + "issue:11592|issue:9613", + "issue:6382|issue:8649", + "issue:1672|issue:6382", + "issue:1931|issue:4709", + "issue:3401|issue:5897", + "issue:4198|issue:5075" + ], + "prepared_review_unit_hash": "709d8079f89a753658d21d28db5219b42cb4d8753c5ed1bf1c4a310d8915c834", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34490, + "estimated_input_tokens": 8623, + "estimated_eval_tokens": 17502 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous set of diffusion-model issues; only the batch-size-dependent DDPM behavior looks like a real duplicate pair. Most other soft pairs are just same-subsystem or same-error-message similarity, not the same bug.", + "confidence": 0.66, + "canonical_issue_reason": "Issue 6222 is the cleanest representative of the only plausible duplicate pair, because it states the concrete batch-size-dependent DDPM scheduler bug more directly than 2659.", + "canonical_pr_reason": null, + "best_issue_reason": "6222 is the most specific, actionable bug report here and best captures the only clear duplicate-like thread in the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3065", + "right": "issue:4304", + "accept": false, + "reason": "Both are LoRA training feature requests, but they target different training setups and changes." + }, + { + "left": "issue:3112", + "right": "issue:6372", + "accept": false, + "reason": "Different pipelines and problems: multi-ControlNet inpainting vs SVD+ControlNet support." + }, + { + "left": "issue:3418", + "right": "issue:3480", + "accept": false, + "reason": "Related to text-encoder LoRA, but one asks for training-script support and the other for a scale parameter; not the same bug/change." + }, + { + "left": "issue:3926", + "right": "issue:5285", + "accept": false, + "reason": "Docs-related only at a very broad level; one is an example request, the other a translation request." + }, + { + "left": "issue:5178", + "right": "issue:5917", + "accept": false, + "reason": "Different failure modes in different code paths; resolution-change scheduler behavior is unrelated to checkpoint conversion upgrade breakage." + }, + { + "left": "issue:5892", + "right": "issue:7021", + "accept": false, + "reason": "Both say import error, but the underlying contexts are different and too generic to merge." + }, + { + "left": "issue:5917", + "right": "issue:5963", + "accept": false, + "reason": "Checkpoint conversion failure and Kandinsky embeds-vs-prompts error are unrelated." + }, + { + "left": "issue:7168", + "right": "issue:9136", + "accept": false, + "reason": "Both mention IP-Adapter, but one is about tensor shape/embeddings and the other about output quality at some resolutions." + }, + { + "left": "issue:7237", + "right": "issue:9424", + "accept": false, + "reason": "Scheduler-not-found and notebook regression are unrelated issues." + }, + { + "left": "issue:11436", + "right": "issue:11581", + "accept": false, + "reason": "Both are runtime errors, but one is a dtype mismatch in Hidream inference and the other is an unexpected-kwarg error in FLUX IP-Adapter loading." + }, + { + "left": "issue:11241", + "right": "issue:9484", + "accept": false, + "reason": "Both are FLUX training issues, but one is a floating point exception in ControlNet training and the other is a multigpu/deepspeed training request." + }, + { + "left": "issue:2549", + "right": "issue:4213", + "accept": false, + "reason": "Different model families and failures: SD2 UNet construction vs SDXL from_single_file without accelerate." + }, + { + "left": "issue:2659", + "right": "issue:6222", + "accept": true, + "reason": "Both describe batch-size-dependent DDPM/Stable Diffusion behavior; 6222 states the likely root scheduler bug behind 2659's symptom." + }, + { + "left": "issue:1541", + "right": "issue:3296", + "accept": false, + "reason": "Both involve DreamBooth checkpoints, but the specific failures differ: model-type detection vs save/load with text encoder." + }, + { + "left": "issue:2363", + "right": "issue:6584", + "accept": false, + "reason": "General conversion help vs a specific inpaint-model conversion failure are not the same issue." + }, + { + "left": "issue:4852", + "right": "issue:8493", + "accept": false, + "reason": "Both are loading errors, but one is a generic LoRA load issue and the other is an SD3 transformer state_dict mismatch." + }, + { + "left": "issue:7690", + "right": "issue:8359", + "accept": false, + "reason": "Tokenizer-loading failure and custom-checkpoint from_single_file failure are different problems." + }, + { + "left": "issue:7133", + "right": "issue:7138", + "accept": false, + "reason": "One is a text-encoder checkpoint size mismatch; the other is an SDXL UNet structure mismatch." + }, + { + "left": "issue:11791", + "right": "issue:12319", + "accept": false, + "reason": "Both touch group offloading, but one is about loading LoRA weights afterward and the other is a block_level offloading regression; not clearly the same bug." + }, + { + "left": "issue:11592", + "right": "issue:9613", + "accept": false, + "reason": "FluxLoraLoaderMixin delete_adapters regression and a Timesteps.scale attribute error are unrelated." + }, + { + "left": "issue:6382", + "right": "issue:8649", + "accept": false, + "reason": "IP-Adapter key error during SDXL LCM LoRA training is unrelated to SD3 num_images_per_prompt behavior." + }, + { + "left": "issue:1672", + "right": "issue:6382", + "accept": false, + "reason": "Checkpoint-to-diffusers image-size issue is unrelated to the IP-Adapter key error." + }, + { + "left": "issue:1931", + "right": "issue:4709", + "accept": false, + "reason": "Different subsystems and errors: float16 dtype mismatch vs SDXL ControlNet guess-mode support." + }, + { + "left": "issue:3401", + "right": "issue:5897", + "accept": false, + "reason": "Class-labels validation and a cross-device tensor error are not the same bug." + }, + { + "left": "issue:4198", + "right": "issue:5075", + "accept": false, + "reason": "Both are matmul errors, but one is a dtype mismatch and the other is a shape mismatch in a different SDXL refiner path." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted soft pair, 2659\u21946222, is reasonably supported by the titles as the same batch-size-dependent DDPM behavior, while the other rejected pairs are framed as related-but-distinct rather than the same bug. No overstatement or mergeability issue is evident." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 137, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11149", + "issue:11436", + "issue:11978", + "issue:12358", + "issue:1445", + "issue:1451", + "issue:1478", + "issue:1500", + "issue:1866", + "issue:2495", + "issue:2663", + "issue:3209", + "issue:3347", + "issue:3363", + "issue:3432", + "issue:3454", + "issue:3540", + "issue:3564", + "issue:3565", + "issue:3761", + "issue:3937", + "issue:3980", + "issue:4206", + "issue:4250", + "issue:4460", + "issue:4773", + "issue:5224", + "issue:5281", + "issue:5284", + "issue:5319", + "issue:540", + "issue:5465", + "issue:5997", + "issue:6159", + "issue:6238", + "issue:6323", + "issue:720", + "issue:725", + "issue:7357", + "issue:7658", + "issue:7785", + "issue:7931", + "issue:7978", + "issue:8233", + "issue:9495", + "issue:9844", + "issue:9953" + ], + "soft_pairs": [ + "issue:11978|issue:12358", + "issue:1478|issue:2495", + "issue:2663|issue:4250", + "issue:4206|issue:5997", + "issue:11436|issue:720", + "issue:4773|issue:5319", + "issue:7931|issue:9495", + "issue:8233|issue:9953", + "issue:7357|issue:7785", + "issue:3209|issue:3347", + "issue:3540|issue:3937", + "issue:540|issue:725", + "issue:6238|issue:9844", + "issue:3432|issue:3565", + "issue:5281|issue:7658", + "issue:3564|issue:5284", + "issue:3761|issue:6323", + "issue:11149|issue:11436", + "issue:1451|issue:5224", + "issue:6159|issue:7978", + "issue:3980|issue:4460", + "issue:3363|issue:3454", + "issue:1445|issue:1500", + "issue:1866|issue:5465" + ], + "prepared_review_unit_hash": "b6d98af76b87eeca3af5e24672765322994fc2a23afcc1e58a3d6796f5aaa076", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33397, + "estimated_input_tokens": 8350, + "estimated_eval_tokens": 16956 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are a loose mix of unrelated issues across Diffusers pipelines, quantization, dtype/device mismatches, and feature requests. None of the soft-edge pairs look like the same underlying bug or change, so I would not merge any of them as duplicates.", + "confidence": 0.91, + "canonical_issue_reason": "issue:540 is the best umbrella-style issue: it is broad, early, and directly about reducing Stable Diffusion memory usage, which makes it the most plausible duplicate target among the list.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:540 is the strongest global canonical candidate because it covers the widest memory/offload problem space and already has multiple references.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11978", + "right": "issue:12358", + "accept": false, + "reason": "One is a request for the Bria 3.2 pipeline, the other for Lumina-DiMOO. Both are feature requests for different models, not the same change." + }, + { + "left": "issue:1478", + "right": "issue:2495", + "accept": false, + "reason": "Different bugs in different pipelines: multi-image output handling vs. MPS black-image output. Same broad subsystem, but not the same underlying defect." + }, + { + "left": "issue:2663", + "right": "issue:4250", + "accept": false, + "reason": "The first is about loading failure when safetensors safety checker files are present; the second is a generic from_pretrained loading bug. Too different to treat as duplicates." + }, + { + "left": "issue:4206", + "right": "issue:5997", + "accept": false, + "reason": "One is a ControlNet training breakage on SDXL, the other is a tutorial/config type mismatch. Related area, but not the same bug." + }, + { + "left": "issue:11436", + "right": "issue:720", + "accept": false, + "reason": "Both mention dtype mismatches, but they occur in different code paths and with different symptoms: Hidream inference matmul dtype mismatch vs. traced UNet scalar-type mismatch." + }, + { + "left": "issue:4773", + "right": "issue:5319", + "accept": false, + "reason": "Loading CivitAI LoRA and speeding up LoRA loading with PEFT are different concerns; one is a user issue, the other a performance feature request." + }, + { + "left": "issue:7931", + "right": "issue:9495", + "accept": false, + "reason": "Both involve SDXL/IP-Adapter, but one is ControlNet-inpaint with ip_adapter_image_embeds and the other is PAG with IPAdapter. Distinct pipeline behavior, not the same bug." + }, + { + "left": "issue:8233", + "right": "issue:9953", + "accept": false, + "reason": "Depth fp16 errors and moving a quantized component pipeline to CUDA are different failure modes and code paths." + }, + { + "left": "issue:7357", + "right": "issue:7785", + "accept": false, + "reason": "Both are slow inference reports, but one is about torch.compile/fuse_loras on SDXL and the other about first inference slowdown in diffusers 0.27.x. Not the same concrete issue." + }, + { + "left": "issue:3209", + "right": "issue:3347", + "accept": false, + "reason": "AutoencoderKL NaNs for large images is a specific encoder stability bug; the other is a general NaN image output complaint. Too broad to merge." + }, + { + "left": "issue:3540", + "right": "issue:3937", + "accept": false, + "reason": "TextToVideoZero prompt-embed support and ZeroscopeXL not working as a normal model are different pipeline problems." + }, + { + "left": "issue:540", + "right": "issue:725", + "accept": false, + "reason": "Both concern memory usage, but 540 is a broad request to keep UNet on GPU while 725 is about adding device map/accelerate support to pipeline loading. Related, but not the same change." + }, + { + "left": "issue:6238", + "right": "issue:9844", + "accept": false, + "reason": "Both mention VAE/NAN-type symptoms, but one is a generic SDXL VAE issue and the other specifically reports NaNs in the SDXL VAE encoder. Similar area, not enough to treat as one bug." + }, + { + "left": "issue:3432", + "right": "issue:3565", + "accept": false, + "reason": "One is a CPU half-precision convolution runtime error in text-to-image examples; the other is a CUDA OOM during text-to-image training. Different resource failures." + }, + { + "left": "issue:5281", + "right": "issue:7658", + "accept": false, + "reason": "Multiple XL pipelines device-mismatch under cpu offload is distinct from asking whether multiple conditioning with SDXL ControlNet is possible." + }, + { + "left": "issue:3564", + "right": "issue:5284", + "accept": false, + "reason": "Uni-ControlNet support and ControlNet-LLLite support are different feature requests for different integrations." + }, + { + "left": "issue:3761", + "right": "issue:6323", + "accept": false, + "reason": "Loading two community pipelines in one process and TensorRT img2img guidance_scale attribute errors are unrelated." + }, + { + "left": "issue:11149", + "right": "issue:11436", + "accept": false, + "reason": "Unexpected keyword argument in quantizer creation vs. dtype mismatch during Hidream inference are separate quantization/inference failures." + }, + { + "left": "issue:1451", + "right": "issue:5224", + "accept": false, + "reason": "Flax Stable Diffusion example failure and Flax Stable Diffusion 2.1 error are both Flax-related, but the titles indicate different models/examples and likely different root causes." + }, + { + "left": "issue:6159", + "right": "issue:7978", + "accept": false, + "reason": "One is a missing denoising_end kwarg on an SDXL ControlNet XSPipeline; the other is a torchvision nms runtime error. Completely different issues." + }, + { + "left": "issue:3980", + "right": "issue:4460", + "accept": false, + "reason": "Prompt-length divergence from A1111 and generic Stable Diffusion vs diffusers output differences are related only at a high level, not the same bug." + }, + { + "left": "issue:3363", + "right": "issue:3454", + "accept": false, + "reason": "Both involve train_dreambooth_lora.py, but one is a machine-specific failure and the other says it does not run on latest. Not enough evidence they are the same defect." + }, + { + "left": "issue:1445", + "right": "issue:1500", + "accept": false, + "reason": "Different legacy/community pipeline compatibility problems across versions; similar theme, but not the same pipeline or failure." + }, + { + "left": "issue:1866", + "right": "issue:5465", + "accept": false, + "reason": "Both are scheduler/strength-related inference issues, but one is DPMSolverSinglestepScheduler with certain strength values, while the other is DiffEdit inpaint_strength=0.8 only. Different pipelines and constraints." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 138, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10823", + "issue:11010", + "issue:12078", + "issue:1404", + "issue:1445", + "issue:1672", + "issue:1807", + "issue:1823", + "issue:1896", + "issue:2089", + "issue:2420", + "issue:2459", + "issue:2880", + "issue:2883", + "issue:3026", + "issue:3124", + "issue:3565", + "issue:3647", + "issue:3694", + "issue:3975", + "issue:4566", + "issue:4733", + "issue:4932", + "issue:4993", + "issue:5128", + "issue:5578", + "issue:5678", + "issue:5719", + "issue:6183", + "issue:6230", + "issue:6277", + "issue:6283", + "issue:6561", + "issue:6832", + "issue:7333", + "issue:7480", + "issue:7682", + "issue:7722", + "issue:8514", + "issue:852", + "issue:867", + "issue:8898", + "issue:9208", + "issue:9227", + "issue:9270", + "issue:9793", + "issue:9873" + ], + "soft_pairs": [ + "issue:4993|issue:6283", + "issue:1672|issue:867", + "issue:4566|issue:4733", + "issue:5678|issue:7722", + "issue:1404|issue:1896", + "issue:1823|issue:2880", + "issue:2420|issue:6277", + "issue:3026|issue:6230", + "issue:3694|issue:7682", + "issue:5578|issue:9793", + "issue:12078|issue:9227", + "issue:11010|issue:9270", + "issue:1445|issue:852", + "issue:6183|issue:9208", + "issue:6561|issue:6832", + "issue:7333|issue:9873", + "issue:1807|issue:3124", + "issue:5719|issue:8898", + "issue:2459|issue:4932", + "issue:3565|issue:7480", + "issue:3975|issue:5128", + "issue:2089|issue:3647", + "issue:10823|issue:8514", + "issue:2883|issue:7333" + ], + "prepared_review_unit_hash": "5ae692fc701472a712260516c287db122ebda340e56a2378efaefd67a1dba23c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33728, + "estimated_input_tokens": 8432, + "estimated_eval_tokens": 17120 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated training, loading, pipeline, memory, and feature-request issues. The soft pairs mostly share broad subsystem or keyword similarity, but not the same concrete bug/change, so none should be merged as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:10823 is the closest representative of the finetuning-output-artifact subtheme, but the cluster is too mixed to justify a single canonical duplicate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4993", + "right": "issue:6283", + "accept": false, + "reason": "Different problems: import/export structure vs. zero-strength controlnet behavior." + }, + { + "left": "issue:1672", + "right": "issue:867", + "accept": false, + "reason": "Conversion script output size bug and GPU memory release bug are unrelated." + }, + { + "left": "issue:4566", + "right": "issue:4733", + "accept": false, + "reason": "Both mention resuming training, but different scripts and distinct failure modes." + }, + { + "left": "issue:5678", + "right": "issue:7722", + "accept": false, + "reason": "Higher-order derivative attention bug is unrelated to pipeline/IPAdapter runtime error." + }, + { + "left": "issue:1404", + "right": "issue:1896", + "accept": false, + "reason": "Different CLIP guided SD failures with different error paths." + }, + { + "left": "issue:1823", + "right": "issue:2880", + "accept": false, + "reason": "Swapped comments in depth2img is unrelated to a JAX colab runtime failure." + }, + { + "left": "issue:2420", + "right": "issue:6277", + "accept": false, + "reason": "Both are training-example issues, but not the same concrete bug or code path." + }, + { + "left": "issue:3026", + "right": "issue:6230", + "accept": false, + "reason": "InstructPix2Pix launch error is unrelated to SDXL out-of-memory during training." + }, + { + "left": "issue:3694", + "right": "issue:7682", + "accept": false, + "reason": "Missing model files in a Pokemon example is unrelated to multi-GPU memory behavior." + }, + { + "left": "issue:5578", + "right": "issue:9793", + "accept": false, + "reason": "Model-index loading error and progress-bar update issue are unrelated." + }, + { + "left": "issue:12078", + "right": "issue:9227", + "accept": false, + "reason": "Both are Flux fine-tuning related, but they describe different example/model problems." + }, + { + "left": "issue:11010", + "right": "issue:9270", + "accept": false, + "reason": "Feature request for Chroma support is not the same as Flux LoRA support limitations." + }, + { + "left": "issue:1445", + "right": "issue:852", + "accept": false, + "reason": "Legacy inpaint AttributeError and MPS device_map keyword error are different failures." + }, + { + "left": "issue:6183", + "right": "issue:9208", + "accept": false, + "reason": "Both involve from_single_file, but one is an incorrect shape bug and the other a controlnet loading limitation." + }, + { + "left": "issue:6561", + "right": "issue:6832", + "accept": false, + "reason": "Missing config file for IP-Adapter is unrelated to tuple/shape handling in Face ID pipeline." + }, + { + "left": "issue:7333", + "right": "issue:9873", + "accept": false, + "reason": "Image-to-video research request and OmniGen pipeline request are different feature additions." + }, + { + "left": "issue:1807", + "right": "issue:3124", + "accept": false, + "reason": "Inference slowdown over time is unrelated to a broken model conversion flow." + }, + { + "left": "issue:5719", + "right": "issue:8898", + "accept": false, + "reason": "Loader-order heuristic fix and subfolder-from_pretrained error are not the same bug." + }, + { + "left": "issue:2459", + "right": "issue:4932", + "accept": false, + "reason": "xformers training issue and missing pytorch_model.bin export are different problems." + }, + { + "left": "issue:3565", + "right": "issue:7480", + "accept": false, + "reason": "Both are OOM reports, but they concern different models, scripts, and circumstances." + }, + { + "left": "issue:3975", + "right": "issue:5128", + "accept": false, + "reason": "Typo in an error message is unrelated to a local safetensors loading failure." + }, + { + "left": "issue:2089", + "right": "issue:3647", + "accept": false, + "reason": "DreamBooth OOM on AltDiffusion and Dreambooth with DeepFloyd are separate training cases." + }, + { + "left": "issue:10823", + "right": "issue:8514", + "accept": false, + "reason": "Finetuning output-artifact issue is unrelated to EMAModel parallel fine-tuning error." + }, + { + "left": "issue:2883", + "right": "issue:7333", + "accept": false, + "reason": "General image-to-video pipeline request and a specific generation method request are not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 139, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10226", + "issue:11014", + "issue:11359", + "issue:11374", + "issue:11408", + "issue:1166", + "issue:1188", + "issue:1195", + "issue:12034", + "issue:12216", + "issue:12348", + "issue:1392", + "issue:1538", + "issue:1717", + "issue:2015", + "issue:2806", + "issue:3094", + "issue:3235", + "issue:3280", + "issue:3289", + "issue:3301", + "issue:3393", + "issue:3487", + "issue:3812", + "issue:3886", + "issue:4139", + "issue:4386", + "issue:4450", + "issue:4484", + "issue:4584", + "issue:4736", + "issue:4835", + "issue:5395", + "issue:5678", + "issue:6008", + "issue:6092", + "issue:6382", + "issue:6639", + "issue:6832", + "issue:6870", + "issue:6894", + "issue:6911", + "issue:8817", + "issue:8955", + "issue:9051", + "issue:9343", + "issue:9667", + "issue:9717" + ], + "soft_pairs": [ + "issue:3812|issue:6870", + "issue:11408|issue:9051", + "issue:11014|issue:3094", + "issue:2806|issue:6911", + "issue:4835|issue:5395", + "issue:12034|issue:12216", + "issue:1188|issue:2015", + "issue:1195|issue:1538", + "issue:3393|issue:4386", + "issue:6008|issue:6382", + "issue:9343|issue:9717", + "issue:1717|issue:5678", + "issue:10226|issue:12348", + "issue:1166|issue:3886", + "issue:4584|issue:4736", + "issue:11359|issue:11374", + "issue:1188|issue:1392", + "issue:3235|issue:4139", + "issue:3280|issue:3289", + "issue:4450|issue:6092", + "issue:3487|issue:6870", + "issue:3301|issue:6894", + "issue:4484|issue:6639", + "issue:8955|issue:9667", + "issue:6832|issue:8817" + ], + "prepared_review_unit_hash": "a531f8d58e561cd470646468d62fe72fe725b4faf8966a865bdcc84f5f877763", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34293, + "estimated_input_tokens": 8574, + "estimated_eval_tokens": 17404 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: most pairs are only loosely similar at the title level (often just sharing a subsystem, model family, or generic error word). I would not merge any of the suggested soft edges; they do not look like the same underlying bug/change.", + "confidence": 0.26, + "canonical_issue_reason": "If a canonical issue is needed, issue:12348 is the most concrete and recent runtime bug report in the set, but it is only a weak representative because the rest of the cluster spans many unrelated problems and feature requests.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12348 is the best single anchor because it is specific, actionable, and a true bug report with a concrete failure mode (tensor mismatch at certain resolutions).", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3812", + "right": "issue:6870", + "accept": false, + "reason": "Both mention missing config fields, but they are different keys in different pipelines; not the same bug." + }, + { + "left": "issue:11408", + "right": "issue:9051", + "accept": false, + "reason": "Different FLUX issues: one is adapter-setting support for compiled models, the other is batch inference support." + }, + { + "left": "issue:11014", + "right": "issue:3094", + "accept": false, + "reason": "Both are OOM reports, but on different workflows and likely different causes." + }, + { + "left": "issue:2806", + "right": "issue:6911", + "accept": false, + "reason": "Different functionality: pipeline printing/customization vs class labels in a 3D UNet." + }, + { + "left": "issue:4835", + "right": "issue:5395", + "accept": false, + "reason": "Different LoRA/ControlNet problems in different pipelines; not the same concrete failure." + }, + { + "left": "issue:12034", + "right": "issue:12216", + "accept": false, + "reason": "Both are quality complaints, but they concern different models and different inference stacks." + }, + { + "left": "issue:1188", + "right": "issue:2015", + "accept": false, + "reason": "Both are pipeline requests, but for unrelated pipelines and use cases." + }, + { + "left": "issue:1195", + "right": "issue:1538", + "accept": false, + "reason": "One is fp16 memory-efficient attention, the other is a Stable Diffusion 2 pipeline compatibility problem." + }, + { + "left": "issue:3393", + "right": "issue:4386", + "accept": false, + "reason": "Both ask about LoRA format conversion, but they are separate user questions and not the same bug/change." + }, + { + "left": "issue:6008", + "right": "issue:6382", + "accept": false, + "reason": "Both involve IP-Adapter and LCM LoRA, but one is an inference failure and the other is a training/output key error." + }, + { + "left": "issue:9343", + "right": "issue:9717", + "accept": false, + "reason": "Both are FLUX loading issues, but the failure modes are different (mismatched-size loading vs docker image error)." + }, + { + "left": "issue:1717", + "right": "issue:5678", + "accept": false, + "reason": "Completely different topics: offline model caching vs higher-order autograd with scaled dot product attention." + }, + { + "left": "issue:10226", + "right": "issue:12348", + "accept": false, + "reason": "Both mention tensor mismatch, but they are different models/pipelines and different resolution-specific behavior." + }, + { + "left": "issue:1166", + "right": "issue:3886", + "accept": false, + "reason": "Different training problems on different hardware; one is a TPU save hang, the other a distributed timeout." + }, + { + "left": "issue:4584", + "right": "issue:4736", + "accept": false, + "reason": "Same script family, but one is checkpoint-resume logic and the other is OOM/cast instability." + }, + { + "left": "issue:11359", + "right": "issue:11374", + "accept": false, + "reason": "Both are feature requests, but for unrelated models and capabilities." + }, + { + "left": "issue:1188", + "right": "issue:1392", + "accept": false, + "reason": "Different requests entirely: CLIPSeg pipeline vs Stable Diffusion 2 support." + }, + { + "left": "issue:3235", + "right": "issue:4139", + "accept": false, + "reason": "Both are Custom Diffusion-related, but one is loading biased weights and the other is precision casting." + }, + { + "left": "issue:3280", + "right": "issue:3289", + "accept": false, + "reason": "Both involve DeepFloyd IF, but one is scheduler support and the other is super-resolution scaling behavior." + }, + { + "left": "issue:4450", + "right": "issue:6092", + "accept": false, + "reason": "Both are training example failures, but one is multi-text inversion and the other is LoRA training not updating." + }, + { + "left": "issue:3487", + "right": "issue:6870", + "accept": false, + "reason": "Different bugs: inpaint quality with a scheduler vs missing VAE tiling support." + }, + { + "left": "issue:3301", + "right": "issue:6894", + "accept": false, + "reason": "Similar LoRA-training wording, but different scripts, model family, and downstream symptom." + }, + { + "left": "issue:4484", + "right": "issue:6639", + "accept": false, + "reason": "Both concern LoRA results, but one is Kohya-produced weird outputs and the other is a load_lora_weights discrepancy." + }, + { + "left": "issue:8955", + "right": "issue:9667", + "accept": false, + "reason": "Both are FLUX loading errors, but one is a CLIPTextModel state_dict mismatch and the other is an fp8 transformer file issue." + }, + { + "left": "issue:6832", + "right": "issue:8817", + "accept": false, + "reason": "Same broad IP-Adapter FaceID area, but the concrete reported failures and code paths are not clearly the same." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 140, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10925", + "issue:11045", + "issue:11436", + "issue:11581", + "issue:11627", + "issue:12459", + "issue:1475", + "issue:1543", + "issue:1695", + "issue:1931", + "issue:2459", + "issue:2606", + "issue:2645", + "issue:3086", + "issue:3420", + "issue:3461", + "issue:3674", + "issue:3765", + "issue:3826", + "issue:4304", + "issue:4419", + "issue:4562", + "issue:4790", + "issue:5002", + "issue:5254", + "issue:5465", + "issue:556", + "issue:5594", + "issue:5606", + "issue:6277", + "issue:6382", + "issue:6689", + "issue:6967", + "issue:6974", + "issue:7221", + "issue:7380", + "issue:8414", + "issue:8514", + "issue:8832", + "issue:9051", + "issue:9089", + "issue:9109", + "issue:9370", + "issue:9673", + "issue:9744", + "issue:9873", + "issue:9876", + "issue:9953" + ], + "soft_pairs": [ + "issue:3826|issue:8414", + "issue:9744|issue:9873", + "issue:11045|issue:8832", + "issue:9051|issue:9089", + "issue:11581|issue:11627", + "issue:5465|issue:9109", + "issue:11436|issue:1931", + "issue:2645|issue:5254", + "issue:4419|issue:7221", + "issue:5606|issue:9673", + "issue:7380|issue:8414", + "issue:10925|issue:12459", + "issue:1475|issue:3765", + "issue:3674|issue:6277", + "issue:8514|issue:9953", + "issue:2459|issue:6974", + "issue:1543|issue:4790", + "issue:1695|issue:2606", + "issue:3086|issue:556", + "issue:4304|issue:5594", + "issue:5002|issue:9370", + "issue:4562|issue:6689", + "issue:3461|issue:6967", + "issue:6382|issue:9876", + "issue:3420|issue:6974" + ], + "prepared_review_unit_hash": "f07b6f151b175bc75a3ebb3ef73885e84a5beaf735d908f52346040589dc42c7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34634, + "estimated_input_tokens": 8659, + "estimated_eval_tokens": 17574 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a noisy, mostly non-duplicate cluster: the paired items are usually only loosely related by model family or subsystem, not the same bug/change. No PRs are present. If an anchor is needed, issue 11045 is the most concrete FLUX training crash report, but it is not a duplicate of the other items.", + "confidence": 0.91, + "canonical_issue_reason": "No true canonical issue across the full set; the items span many unrelated bugs/features. Issue 11045 is only the closest anchor because it is a concrete FLUX training crash with a specific script/model.", + "canonical_pr_reason": null, + "best_issue_reason": "11045 is the strongest standalone bug report: it names a specific crash path, script, and model, making it the most actionable and representative of the small FLUX-training subset.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3826", + "right": "issue:8414", + "accept": false, + "reason": "Different requests for different models/pipelines: a new audio pipeline vs a new text-to-audio model. Not the same underlying change." + }, + { + "left": "issue:9744", + "right": "issue:9873", + "accept": false, + "reason": "Two separate new-model requests (Mochi video vs OmniGen image generation). Shared 'add model' theme only." + }, + { + "left": "issue:11045", + "right": "issue:8832", + "accept": false, + "reason": "One is a FLUX DreamBooth load crash; the other is a generic pipeline prompt crash. Different code paths and failure modes." + }, + { + "left": "issue:9051", + "right": "issue:9089", + "accept": false, + "reason": "Batch inference limitation vs missing class import/registration. Related to FLUX, but clearly different bugs." + }, + { + "left": "issue:11581", + "right": "issue:11627", + "accept": false, + "reason": "Different IP-Adapter integration failures in different pipelines/models; not the same concrete bug." + }, + { + "left": "issue:5465", + "right": "issue:9109", + "accept": false, + "reason": "DiffEdit inpaint-strength behavior is unrelated to a torchvision nms dependency error." + }, + { + "left": "issue:11436", + "right": "issue:1931", + "accept": false, + "reason": "Both are dtype-mismatch errors, but they occur in different models/pipelines and are not the same code-path bug." + }, + { + "left": "issue:2645", + "right": "issue:5254", + "accept": false, + "reason": "macOS CUDA assertion vs multi-ControlNet support request; different problems." + }, + { + "left": "issue:4419", + "right": "issue:7221", + "accept": false, + "reason": "SDXL offset-noise inference mismatch vs noisy output with a specific checkpoint. Same symptom class, different issue." + }, + { + "left": "issue:5606", + "right": "issue:9673", + "accept": false, + "reason": "LoRA alpha loading bug vs high CPU usage when loading multiple LoRAs. Separate issues." + }, + { + "left": "issue:7380", + "right": "issue:8414", + "accept": false, + "reason": "Different model contributions: one asks for a one-step distillation implementation, the other a new text-to-audio model." + }, + { + "left": "issue:10925", + "right": "issue:12459", + "accept": false, + "reason": "DreamBooth finetuning vs batch inference throughput. Both FLUX-related, but not the same bug." + }, + { + "left": "issue:1475", + "right": "issue:3765", + "accept": false, + "reason": "Training with mixed class images vs control net stacking artifacts. No shared failure." + }, + { + "left": "issue:3674", + "right": "issue:6277", + "accept": false, + "reason": "Metadata JSONL parsing error vs broken gradients in a LoRA example; unrelated training issues." + }, + { + "left": "issue:8514", + "right": "issue:9953", + "accept": false, + "reason": "Parallel fine-tuning/EMA issue vs moving a quantized component to CUDA. Different runtime paths." + }, + { + "left": "issue:2459", + "right": "issue:6974", + "accept": false, + "reason": "xformers attention support in a training script vs unloading textual inversion tensors. Different subsystems and bugs." + }, + { + "left": "issue:1543", + "right": "issue:4790", + "accept": false, + "reason": "Unsupported revision handling in textual inversion vs conversion tool incompatibility. Different tools and failure modes." + }, + { + "left": "issue:1695", + "right": "issue:2606", + "accept": false, + "reason": "Multi-GPU DreamBooth training vs DeepSpeed save_state hang. Same general area, but not the same bug." + }, + { + "left": "issue:3086", + "right": "issue:556", + "accept": false, + "reason": "Audio-to-image request vs seamless texture tiling. Completely different features." + }, + { + "left": "issue:4304", + "right": "issue:5594", + "accept": false, + "reason": "Feature request for SDXL LoRA training vs memory-usage complaint during SDXL fine-tuning. Related area, different issue." + }, + { + "left": "issue:5002", + "right": "issue:9370", + "accept": false, + "reason": "Scheduler argument omission vs missing pooled_projection argument in embeddings. Different APIs and code paths." + }, + { + "left": "issue:4562", + "right": "issue:6689", + "accept": false, + "reason": "Two different model conversion failures (XL pipeline vs SSD-1B). Same broad conversion topic only." + }, + { + "left": "issue:3461", + "right": "issue:6967", + "accept": false, + "reason": "Performance/memory comparison question vs prior-preservation shape mismatch. Distinct DreamBooth problems." + }, + { + "left": "issue:6382", + "right": "issue:9876", + "accept": false, + "reason": "IP-Adapter key error in LCM/SDXL training vs VRAM not being released after LoRA training. Different bugs." + }, + { + "left": "issue:3420", + "right": "issue:6974", + "accept": false, + "reason": "ControlNet inpaint pipeline compatibility vs textual inversion unload behavior. Unrelated issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 141, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10107", + "issue:10514", + "issue:10866", + "issue:11370", + "issue:12147", + "issue:1251", + "issue:1310", + "issue:1392", + "issue:1985", + "issue:2107", + "issue:222", + "issue:2392", + "issue:2674", + "issue:2728", + "issue:2783", + "issue:3296", + "issue:3432", + "issue:3803", + "issue:4236", + "issue:4686", + "issue:4892", + "issue:4932", + "issue:5509", + "issue:5516", + "issue:5607", + "issue:5857", + "issue:6131", + "issue:6201", + "issue:6435", + "issue:6686", + "issue:6726", + "issue:6839", + "issue:6974", + "issue:7347", + "issue:7960", + "issue:7982", + "issue:8469", + "issue:8472", + "issue:8543", + "issue:8560", + "issue:8788", + "issue:8950", + "issue:8955", + "issue:9208", + "issue:9527", + "issue:9914", + "issue:9933", + "issue:9979" + ], + "soft_pairs": [ + "issue:1251|issue:2107", + "issue:6435|issue:9933", + "issue:2392|issue:6201", + "issue:2674|issue:5857", + "issue:4236|issue:6686", + "issue:10866|issue:12147", + "issue:1310|issue:1392", + "issue:4892|issue:6726", + "issue:8560|issue:8950", + "issue:222|issue:3432", + "issue:10514|issue:8788", + "issue:11370|issue:7982", + "issue:2728|issue:4686", + "issue:7347|issue:7960", + "issue:5509|issue:5607", + "issue:3803|issue:8472", + "issue:9527|issue:9979", + "issue:3296|issue:5516", + "issue:4932|issue:6974", + "issue:8955|issue:9914", + "issue:6839|issue:9208", + "issue:1985|issue:2783", + "issue:6131|issue:8469", + "issue:10107|issue:8543" + ], + "prepared_review_unit_hash": "6bb85e064a27c84be2af80a855dd0426f368547cc83257fbe6279d0f55b7cc56", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33886, + "estimated_input_tokens": 8472, + "estimated_eval_tokens": 17200 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated bug reports. The only strong duplicate-like pair is the Stable Diffusion prompt_embeds/no-prompt validation bug: issue 2392 and issue 6201. No PRs are present.", + "confidence": 0.84, + "canonical_issue_reason": "issue:6201 is the clearest and most current description of the shared prompt_embeds/no-prompt bug and points directly at the affected pipeline code path.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6201 is the best representative because it names the concrete failing behavior, the missing prompt case, and the relevant pipeline logic.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1251", + "right": "issue:2107", + "accept": false, + "reason": "Both mention black images, but one is RePaintPipeline on MPS and the other is low-resolution glitching; different symptoms and likely different code paths." + }, + { + "left": "issue:6435", + "right": "issue:9933", + "accept": false, + "reason": "One is ControlNet default width/height initialization, the other is SD3 img2img missing width/height parameters; related theme, but not the same defect." + }, + { + "left": "issue:2392", + "right": "issue:6201", + "accept": true, + "reason": "Both describe the Stable Diffusion pipeline/img2img mishandling prompt_embeds when no prompt is provided, causing prompt validation/encoding to run incorrectly." + }, + { + "left": "issue:2674", + "right": "issue:5857", + "accept": false, + "reason": "One is about missing safetensors support for LoRA loading; the other is a quality/compatibility issue with LCM LoRA on AnimateDiff SDXL." + }, + { + "left": "issue:4236", + "right": "issue:6686", + "accept": false, + "reason": "Text encoder registration in SDXL Refiner is a different code-path problem from Dynamo compilation save/load performance after reload." + }, + { + "left": "issue:10866", + "right": "issue:12147", + "accept": false, + "reason": "Different models and different LoRA loading failures; too broad to be the same underlying bug." + }, + { + "left": "issue:1310", + "right": "issue:1392", + "accept": false, + "reason": "K-Diffusion integration and the Stable Diffusion 2 tracking issue are unrelated." + }, + { + "left": "issue:4892", + "right": "issue:6726", + "accept": false, + "reason": "Different pipelines/projects entirely; no shared concrete bug." + }, + { + "left": "issue:8560", + "right": "issue:8950", + "accept": false, + "reason": "One is an SD3 training OOM, the other is an SD3 LoRA training bug; same area but not the same failure." + }, + { + "left": "issue:222", + "right": "issue:3432", + "accept": false, + "reason": "Generic training runtime failure versus CPU half-precision conv2d limitation; distinct problems." + }, + { + "left": "issue:10514", + "right": "issue:8788", + "accept": false, + "reason": "Sana resolution-binning/sample_size mismatch is unrelated to SD3 VAE tiling on non-power-of-two images." + }, + { + "left": "issue:11370", + "right": "issue:7982", + "accept": false, + "reason": "A conversion-script pickle/load failure is unrelated to MultiControlNetModel from_pipe behavior." + }, + { + "left": "issue:2728", + "right": "issue:4686", + "accept": false, + "reason": "Safetensors loading for UNet2DConditionModel is a different issue from loading a saved StableDiffusionUpscalePipeline with from_pretrained." + }, + { + "left": "issue:7347", + "right": "issue:7960", + "accept": false, + "reason": "Both are training failures, but one is a post-update LoRA training regression and the other is an SDXL multi-GPU failure." + }, + { + "left": "issue:5509", + "right": "issue:5607", + "accept": false, + "reason": "Image batch-size validation and tensor concatenation size mismatch are different shape bugs." + }, + { + "left": "issue:3803", + "right": "issue:8472", + "accept": false, + "reason": "Multi-GPU model sharing is unrelated to the general question about pre-training LoRA with other modules." + }, + { + "left": "issue:9527", + "right": "issue:9979", + "accept": false, + "reason": "ControlNet dtype mismatch and Flux img2img controlnet channel mismatch are different concrete failures." + }, + { + "left": "issue:3296", + "right": "issue:5516", + "accept": false, + "reason": "DreamBooth checkpoint save/load issues are unrelated to LoRA not functioning with t2i adapters." + }, + { + "left": "issue:4932", + "right": "issue:6974", + "accept": false, + "reason": "Exporting DreamBooth checkpoints and unloading textual inversion components are different bugs." + }, + { + "left": "issue:8955", + "right": "issue:9914", + "accept": false, + "reason": "CLIPTextModel state_dict loading errors are not the same as the Flux Xlabs LoRA loading issue." + }, + { + "left": "issue:6839", + "right": "issue:9208", + "accept": false, + "reason": "Both involve from_single_file, but they affect different model families and loader paths." + }, + { + "left": "issue:1985", + "right": "issue:2783", + "accept": false, + "reason": "Embedding-loading UX and a ControlNet pipeline feature request are unrelated." + }, + { + "left": "issue:6131", + "right": "issue:8469", + "accept": false, + "reason": "A generic IP-Adapter Plus failure is not the same as corrupt faces from a specific IP-Adapter model." + }, + { + "left": "issue:10107", + "right": "issue:8543", + "accept": false, + "reason": "Validation-time gradient checkpointing in examples is a different issue from SD3 dreambooth gradient checkpointing failure." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative: it identifies only the clearly related prompt_embeds/no-prompt pair (2392/6201), correctly notes that no PRs are present, and the other soft-edge rejections do not overclaim sameness. The accepted pair is well supported by the titles, and the rest of the cluster is reasonably described as mostly unrelated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 142, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11136", + "issue:11208", + "issue:11489", + "issue:1249", + "issue:12612", + "issue:13053", + "issue:13067", + "issue:13258", + "issue:1350", + "issue:1367", + "issue:1574", + "issue:2392", + "issue:2465", + "issue:2784", + "issue:2904", + "issue:3264", + "issue:3487", + "issue:3537", + "issue:3619", + "issue:4061", + "issue:4073", + "issue:4303", + "issue:4307", + "issue:4354", + "issue:4386", + "issue:4453", + "issue:4580", + "issue:4885", + "issue:4936", + "issue:5594", + "issue:5647", + "issue:5980", + "issue:6176", + "issue:6392", + "issue:6615", + "issue:6734", + "issue:6809", + "issue:6911", + "issue:7197", + "issue:7348", + "issue:7357", + "issue:7420", + "issue:8450", + "issue:8532", + "issue:9045", + "issue:9210", + "issue:9393" + ], + "soft_pairs": [ + "issue:3619|issue:6911", + "issue:4307|issue:4580", + "issue:7348|issue:8450", + "issue:6809|issue:9045", + "issue:11136|issue:11208", + "issue:2392|issue:6734", + "issue:4061|issue:4303", + "issue:3487|issue:5647", + "issue:12612|issue:13258", + "issue:1574|issue:2465", + "issue:1350|issue:2784", + "issue:4354|issue:6615", + "issue:4386|issue:5594", + "issue:4936|issue:6392", + "issue:7197|issue:9210", + "issue:11489|issue:9393", + "issue:1367|issue:2904", + "issue:3264|issue:3537", + "issue:4453|issue:5980", + "issue:6176|issue:6392", + "issue:7357|issue:7420", + "issue:13053|issue:13067", + "issue:4885|issue:8532", + "issue:1249|issue:4073" + ], + "prepared_review_unit_hash": "fd50df15b0bc0a94f0228e38c2759c843c147f7df0fe7078806541bcb2e2dfb7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33517, + "estimated_input_tokens": 8380, + "estimated_eval_tokens": 17016 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pairs look like true duplicates; they mostly share broad subsystem keywords (LoRA, inpaint, schedulers, training) but differ in concrete pipeline, failure mode, or feature request. I would keep the most actionable open bug report, issue 8450, as the best representative issue in this set.", + "confidence": 0.86, + "canonical_issue_reason": "Issue 8450 is the clearest, most detailed open bug report with a reproducible inference problem and explicit expected/actual behavior, making it the strongest representative issue here.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 8450 is the best overall issue candidate because it is concrete, currently open, and narrowly scoped to a specific inpainting/strength=1.0 defect.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3619", + "right": "issue:6911", + "accept": false, + "reason": "Different problems: CrossFrameAttention failure in Text2Video-Zero vs class-label usage in UNetConditional3DModel." + }, + { + "left": "issue:4307", + "right": "issue:4580", + "accept": false, + "reason": "Unrelated failure modes: offline from_pretrained loading vs UniPC scheduler exception with use_karras_sigmas." + }, + { + "left": "issue:7348", + "right": "issue:8450", + "accept": false, + "reason": "Both mention inpaint weirdness, but they target different pipelines/models and likely different code paths; not the same concrete bug." + }, + { + "left": "issue:6809", + "right": "issue:9045", + "accept": false, + "reason": "Both touch PEFT, but one is LoRA adapter loading regression and the other is CUDA transfer failure in a different pipeline." + }, + { + "left": "issue:11136", + "right": "issue:11208", + "accept": false, + "reason": "Distinct unsupported features in different pipelines; no shared bug mechanism." + }, + { + "left": "issue:2392", + "right": "issue:6734", + "accept": false, + "reason": "Different errors and code paths: prompt_embeds validation vs tokenizer access on None." + }, + { + "left": "issue:4061", + "right": "issue:4303", + "accept": false, + "reason": "Different frameworks and failures: PyTorch SDXL LoRA loading vs Flax SDXL pipeline crash." + }, + { + "left": "issue:3487", + "right": "issue:5647", + "accept": false, + "reason": "Related inpaint/scheduler theme, but different pipeline/model combinations and symptom details; too broad to merge." + }, + { + "left": "issue:12612", + "right": "issue:13258", + "accept": false, + "reason": "Numerical instability in Wan 2.1 vs missing image-to-video support in Wan 2.2; not the same issue." + }, + { + "left": "issue:1574", + "right": "issue:2465", + "accept": false, + "reason": "One is a training failure on low-memory Linux hardware; the other is a reproducible recipe/question, not the same bug." + }, + { + "left": "issue:1350", + "right": "issue:2784", + "accept": false, + "reason": "Completely different requests: object detection model support vs Dreambooth for text-to-video." + }, + { + "left": "issue:4354", + "right": "issue:6615", + "accept": false, + "reason": "Both involve loading from files, but one is an incorrect pipeline type return and the other is local YAML handling during ckpt conversion." + }, + { + "left": "issue:4386", + "right": "issue:5594", + "accept": false, + "reason": "Unrelated LoRA topics: conversion to safetensors vs memory-saving during SDXL fine-tuning." + }, + { + "left": "issue:4936", + "right": "issue:6392", + "accept": false, + "reason": "Different operations: resume Dreambooth LoRA training vs loading a custom LoRA at inference." + }, + { + "left": "issue:7197", + "right": "issue:9210", + "accept": false, + "reason": "Different dataset/script validation errors with different messages and contexts." + }, + { + "left": "issue:11489", + "right": "issue:9393", + "accept": false, + "reason": "Both are Flux LoRA training issues, but one is a script error and the other is a model save failure under deepspeed; not the same concrete bug." + }, + { + "left": "issue:1367", + "right": "issue:2904", + "accept": false, + "reason": "Scheduler config serialization bug vs missing scheduler on an AudioLDM pipeline; unrelated." + }, + { + "left": "issue:3264", + "right": "issue:3537", + "accept": false, + "reason": "Both are conversion utilities, but they convert different model components in different directions." + }, + { + "left": "issue:4453", + "right": "issue:5980", + "accept": false, + "reason": "Both ask about model file formats, but one is SDXL LoRA export and the other is ControlNet artifact format; not the same issue." + }, + { + "left": "issue:6176", + "right": "issue:6392", + "accept": false, + "reason": "Both involve LoRA loading, but one is post-training Dreambooth LoRA loading and the other is a custom LoRA load failure; insufficiently specific to merge." + }, + { + "left": "issue:7357", + "right": "issue:7420", + "accept": false, + "reason": "Performance regression with torch.compile/fuse_loras vs inability to use torch.compile at all." + }, + { + "left": "issue:13053", + "right": "issue:13067", + "accept": false, + "reason": "Separate feature requests for different pipelines/models." + }, + { + "left": "issue:4885", + "right": "issue:8532", + "accept": false, + "reason": "One is LoRA weights not loading in an SDXL ControlNet img2img pipeline; the other is progressive memory increase while loading LoRA weights." + }, + { + "left": "issue:1249", + "right": "issue:4073", + "accept": false, + "reason": "Different attribute errors in different subsystems: ONNX pipeline scheduler handling vs DeepFloyd IF safety checker." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 143, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1005", + "issue:10147", + "issue:10223", + "issue:10782", + "issue:1082", + "issue:10954", + "issue:10969", + "issue:11006", + "issue:11830", + "issue:12052", + "issue:1802", + "issue:1931", + "issue:2549", + "issue:3390", + "issue:3454", + "issue:3975", + "issue:4236", + "issue:4354", + "issue:4398", + "issue:4402", + "issue:4680", + "issue:4724", + "issue:4912", + "issue:5023", + "issue:5633", + "issue:5719", + "issue:5875", + "issue:5897", + "issue:5960", + "issue:6252", + "issue:6278", + "issue:6382", + "issue:6666", + "issue:692", + "issue:7420", + "issue:746", + "issue:761", + "issue:794", + "issue:7948", + "issue:7991", + "issue:8320", + "issue:8589", + "issue:8970", + "issue:9045", + "issue:9156", + "issue:9241", + "issue:9341", + "issue:9927" + ], + "soft_pairs": [ + "issue:3454|issue:6278", + "issue:10954|issue:9341", + "issue:4724|issue:6252", + "issue:5897|issue:9045", + "issue:7420|issue:8589", + "issue:5960|issue:9927", + "issue:10147|issue:7948", + "issue:11830|issue:8970", + "issue:3975|issue:794", + "issue:4354|issue:4402", + "issue:5023|issue:5875", + "issue:5633|issue:7991", + "issue:10223|issue:6382", + "issue:1005|issue:746", + "issue:1802|issue:1931", + "issue:11006|issue:12052", + "issue:10782|issue:8320", + "issue:1082|issue:761", + "issue:10969|issue:9156", + "issue:2549|issue:4236", + "issue:3390|issue:5719", + "issue:4398|issue:6666", + "issue:4680|issue:692", + "issue:4912|issue:9241" + ], + "prepared_review_unit_hash": "5f7064c826408b26cb89f8565c43e459afc8636c1fc4858addc1ec45c943ef24", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33992, + "estimated_input_tokens": 8498, + "estimated_eval_tokens": 17252 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are a loose set of unrelated diffusers issues spanning training bugs, pipeline regressions, feature requests, and documentation/questions. None of the proposed soft pairs look like the same underlying bug or change, so they should all remain separate.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a strong canonical representative because the cluster is not a true duplicate set; the items cover many distinct subsystems and symptoms.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3454", + "right": "issue:6278", + "accept": false, + "reason": "Both are training-script failures, but one is a DreamBooth/Lora script compatibility problem and the other is a multi-GPU LCM distillation issue; different code paths and failure modes." + }, + { + "left": "issue:10954", + "right": "issue:9341", + "accept": false, + "reason": "Both mention FLUX LoRA loading, but one is a ComfyUI-compatible LoRA failing to load and the other is a FLUX LoRA containing text_model weights; related area, not the same bug." + }, + { + "left": "issue:4724", + "right": "issue:6252", + "accept": false, + "reason": "One is SDXL img2img behavior with a base checkpoint, the other is LoRA weights not loading from a checkpoint; different model components and symptoms." + }, + { + "left": "issue:5897", + "right": "issue:9045", + "accept": false, + "reason": "Both are device-mismatch style training/runtime errors, but they involve different scripts and setups (LoRA training vs StableDiffusion3 accelerate/peft CUDA transfer)." + }, + { + "left": "issue:7420", + "right": "issue:8589", + "accept": false, + "reason": "torch.compile failure is not the same as SD3 DreamBooth prior-preservation support; one is a compiler/runtime compatibility issue, the other is a training-feature limitation." + }, + { + "left": "issue:5960", + "right": "issue:9927", + "accept": false, + "reason": "Both involve training-time warnings/errors, but one is invalid values during SDXL ControlNet image casting and the other is a HeaderTooLarge error in SDv3 ControlNet training; not the same defect." + }, + { + "left": "issue:10147", + "right": "issue:7948", + "accept": false, + "reason": "These are separate feature requests for different adapters (MV-Adapter vs MuLan) serving different use cases." + }, + { + "left": "issue:11830", + "right": "issue:8970", + "accept": false, + "reason": "Both report black outputs, but they are for different pipelines and triggers (FramePack float16 vs Kolors MPS), so they are not the same bug." + }, + { + "left": "issue:3975", + "right": "issue:794", + "accept": false, + "reason": "A typo in a safetensors install error message is unrelated to a generic better-error-message request for unsupported classes." + }, + { + "left": "issue:4354", + "right": "issue:4402", + "accept": false, + "reason": "Both involve StableDiffusionXLInpaintPipeline.from_single_file, but one is wrong returned pipeline type and the other is incorrect usage; not clearly the same underlying bug." + }, + { + "left": "issue:5023", + "right": "issue:5875", + "accept": false, + "reason": "WuerstchenCombinedPipeline import error and SDXL-to-ONNX conversion prompt error are unrelated pipeline/serialization issues." + }, + { + "left": "issue:5633", + "right": "issue:7991", + "accept": false, + "reason": "A bug in transformer_temporal.py is not the same as a basic training tutorial bug; code path and scope differ." + }, + { + "left": "issue:10223", + "right": "issue:6382", + "accept": false, + "reason": "A question about obtaining a LoRA ID in inference is unrelated to an IP-adapter key error during/after LCM LoRA training." + }, + { + "left": "issue:1005", + "right": "issue:746", + "accept": false, + "reason": "These are both old loading/scheduler-related issues, but one concerns timestep count limits and the other ONNX revision loading for Img2Img; not the same bug." + }, + { + "left": "issue:1802", + "right": "issue:1931", + "accept": false, + "reason": "One concerns encoder_hidden_states=None handling in unet_2d_condition, the other is a float16 dtype mismatch in SD2; distinct failures." + }, + { + "left": "issue:11006", + "right": "issue:12052", + "accept": false, + "reason": "Wan 2.1 I2V quantized-transformer video corruption and Wan 2.2 LightX2V device mismatch are different pipeline/version problems." + }, + { + "left": "issue:10782", + "right": "issue:8320", + "accept": false, + "reason": "Lumina Image 2.0 minor issue and from_single_file AutoencoderKL __name__ attribute error are unrelated." + }, + { + "left": "issue:1082", + "right": "issue:761", + "accept": false, + "reason": "DreamBooth CUDA cublas execution failure and DreamBooth 8-bit Adam training failure are different runtime issues with different causes." + }, + { + "left": "issue:10969", + "right": "issue:9156", + "accept": false, + "reason": "FLUX-ControlNet zero3 weight dimensionality error and Flux LoRA OOM are separate training failures, not the same bug." + }, + { + "left": "issue:2549", + "right": "issue:4236", + "accept": false, + "reason": "SD 2.0 UNet2DConditionModel not working and SDXL refiner text-encoder registration are different model-architecture issues." + }, + { + "left": "issue:3390", + "right": "issue:5719", + "accept": false, + "reason": "Loading local safetensors files and checking LoRA weight filenames first are related to loading, but they target different behaviors and code paths." + }, + { + "left": "issue:4398", + "right": "issue:6666", + "accept": false, + "reason": "All-black images in an SDXL LoRA DreamBooth pipeline and black validation images are too broad to equate; one is training output, the other validation output with no clear shared root cause." + }, + { + "left": "issue:4680", + "right": "issue:692", + "accept": false, + "reason": "A feature request for SDXL inpainting fine-tuning is unrelated to a generic request for an example of fine-tuning diffusion models." + }, + { + "left": "issue:4912", + "right": "issue:9241", + "accept": false, + "reason": "Converting custom CivitAI checkpoints to diffusers and converting XLab LoRA to diffusers LoRA are both conversion topics, but they are different source formats and scripts." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 144, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10210", + "issue:10227", + "issue:10492", + "issue:10715", + "issue:10743", + "issue:11033", + "issue:11209", + "issue:11224", + "issue:11436", + "issue:11489", + "issue:11791", + "issue:1214", + "issue:12673", + "issue:1434", + "issue:1672", + "issue:1695", + "issue:2036", + "issue:2156", + "issue:2507", + "issue:3296", + "issue:4185", + "issue:4808", + "issue:4840", + "issue:5274", + "issue:5529", + "issue:5575", + "issue:5630", + "issue:5821", + "issue:6107", + "issue:6906", + "issue:692", + "issue:7082", + "issue:7146", + "issue:7147", + "issue:7263", + "issue:7306", + "issue:752", + "issue:7619", + "issue:8543", + "issue:8557", + "issue:8708", + "issue:8955", + "issue:8970", + "issue:9142", + "issue:9156", + "issue:9202", + "issue:9297", + "issue:9602" + ], + "soft_pairs": [ + "issue:5821|issue:7306", + "issue:692|issue:752", + "issue:7263|issue:9202", + "issue:8557|issue:8708", + "issue:5529|issue:7146", + "issue:11033|issue:3296", + "issue:4808|issue:5630", + "issue:10492|issue:11209", + "issue:10492|issue:11224", + "issue:1434|issue:2507", + "issue:11489|issue:5274", + "issue:10715|issue:8970", + "issue:10743|issue:9156", + "issue:1695|issue:2156", + "issue:11436|issue:8955", + "issue:5575|issue:9602", + "issue:11791|issue:12673", + "issue:6906|issue:8543", + "issue:7082|issue:7147", + "issue:9142|issue:9297", + "issue:3296|issue:7619", + "issue:2036|issue:6107", + "issue:1672|issue:4185", + "issue:10210|issue:10227", + "issue:1214|issue:4840" + ], + "prepared_review_unit_hash": "54176f68c3131f8cf81b5eafe12d58b865129909aeeb55cc7d070506cca5d9ce", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34132, + "estimated_input_tokens": 8533, + "estimated_eval_tokens": 17322 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a loose collection of mostly unrelated issues; the soft pairs share only broad subsystem similarity, not the same concrete bug/change. I would not merge any of the soft-edge pairs.", + "confidence": 0.91, + "canonical_issue_reason": "issue:11209 is the earliest, most generic LoRA-loading report in the set and already has an inbound reference, so it is the best anchor among these issues.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11209 is the clearest representative for the LoRA-loading subgroup because its title is broad and directly describes the failure mode.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5821", + "right": "issue:7306", + "accept": false, + "reason": "Both are precision-related training/runtime errors, but they involve different models, code paths, and failure types (backward/CUDA vs float16 in a specific pipeline)." + }, + { + "left": "issue:692", + "right": "issue:752", + "accept": false, + "reason": "One asks for a fine-tuning example; the other requests multi-concept Dreambooth support. Related topic, not the same issue." + }, + { + "left": "issue:7263", + "right": "issue:9202", + "accept": false, + "reason": "Both mention IP-Adapter behavior, but they target different pipelines and failures (attention slicing vs FaceID Plus V2/PAG incompatibility)." + }, + { + "left": "issue:8557", + "right": "issue:8708", + "accept": false, + "reason": "Different SD3 training bugs: token limit handling versus missing VAE shift_factor config." + }, + { + "left": "issue:5529", + "right": "issue:7146", + "accept": false, + "reason": "train_text_to_image_sdxl.py bug vs SDXL fine-tuning CUDA OOM; different symptoms and likely different fixes." + }, + { + "left": "issue:11033", + "right": "issue:3296", + "accept": false, + "reason": "Both involve model loading/saving, but one is from_single_file UNet loading and the other is checkpoint save/load with text_encoder in Dreambooth." + }, + { + "left": "issue:4808", + "right": "issue:5630", + "accept": false, + "reason": "Different img2img pipelines and different problems: SHAP-E integration test failure vs leftover noise from LMS scheduler." + }, + { + "left": "issue:10492", + "right": "issue:11209", + "accept": false, + "reason": "torchao quantize/fuse error and LoRA loading error are distinct operations with no clear shared code-path." + }, + { + "left": "issue:10492", + "right": "issue:11224", + "accept": false, + "reason": "torchao quantize/fuse error and generic LoRA loading error are not the same concrete bug." + }, + { + "left": "issue:1434", + "right": "issue:2507", + "accept": false, + "reason": "OOM during upscaling and safetensors load-speed performance are unrelated." + }, + { + "left": "issue:11489", + "right": "issue:5274", + "accept": false, + "reason": "Different training scripts and failures: Flux LoRA training error vs mixed-precision dtype mismatch in unconditional image generation." + }, + { + "left": "issue:10715", + "right": "issue:8970", + "accept": false, + "reason": "Both produce black images, but on different hardware backends (ROCm vs MPS) and likely different root causes." + }, + { + "left": "issue:10743", + "right": "issue:9156", + "accept": false, + "reason": "Zero-3 support for FLUX training and Flux LoRA CUDA OOM are different training concerns." + }, + { + "left": "issue:1695", + "right": "issue:2156", + "accept": false, + "reason": "Multi-GPU/deepspeed training support is not the same as the example script incorrectly using CPU instead of GPU." + }, + { + "left": "issue:11436", + "right": "issue:8955", + "accept": false, + "reason": "Hidream dtype mismatch at inference and CLIPTextModelWithProjection state_dict loading errors are different failures." + }, + { + "left": "issue:5575", + "right": "issue:9602", + "accept": false, + "reason": "Hidden-size configuration in LoRA training is unrelated to adapter-name lookup failures." + }, + { + "left": "issue:11791", + "right": "issue:12673", + "accept": false, + "reason": "Both mention group offloading, but one is about loading LoRA weights after offloading and the other is a QwenImagePipeline record_stream incompatibility; not the same bug." + }, + { + "left": "issue:6906", + "right": "issue:8543", + "accept": false, + "reason": "Different Dreambooth example breakages for different models/features: LoRA example vs SD3 gradient checkpointing." + }, + { + "left": "issue:7082", + "right": "issue:7147", + "accept": false, + "reason": "Separate import errors for different symbols from different modules." + }, + { + "left": "issue:9142", + "right": "issue:9297", + "accept": false, + "reason": "Multiple-controlnet loading failure is unrelated to linear LoRA load-time slowdown." + }, + { + "left": "issue:3296", + "right": "issue:7619", + "accept": false, + "reason": "Both are Dreambooth training issues, but checkpoint/text_encoder save-load problems are not the same as the channel-count error." + }, + { + "left": "issue:2036", + "right": "issue:6107", + "accept": false, + "reason": "Model load OSError and IP-Adapter AWS runtime issue are different problems." + }, + { + "left": "issue:1672", + "right": "issue:4185", + "accept": false, + "reason": "Wrong output image size after conversion and SDXL ControlNet black images are unrelated." + }, + { + "left": "issue:10210", + "right": "issue:10227", + "accept": false, + "reason": "Img2Img near-identity output and LoRA feature-dimension NotImplementedError are distinct bugs." + }, + { + "left": "issue:1214", + "right": "issue:4840", + "accept": false, + "reason": "Half-precision CLIPTextModel behavior and FlaxAutoencoderKL torch-checkpoint loading are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 145, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10054", + "issue:10925", + "issue:10928", + "issue:11023", + "issue:11127", + "issue:11258", + "issue:11422", + "issue:11907", + "issue:1363", + "issue:1917", + "issue:2107", + "issue:2577", + "issue:2674", + "issue:3218", + "issue:3284", + "issue:3442", + "issue:3487", + "issue:3871", + "issue:3901", + "issue:4255", + "issue:4307", + "issue:4349", + "issue:4704", + "issue:4728", + "issue:4756", + "issue:5014", + "issue:5254", + "issue:5515", + "issue:5605", + "issue:5617", + "issue:6054", + "issue:6323", + "issue:6749", + "issue:6911", + "issue:7180", + "issue:7243", + "issue:7616", + "issue:771", + "issue:7948", + "issue:8309", + "issue:8414", + "issue:8738", + "issue:8879", + "issue:9091", + "issue:9202", + "issue:9514", + "issue:9841", + "issue:9856" + ], + "soft_pairs": [ + "issue:1363|issue:4307", + "issue:10925|issue:9514", + "issue:3284|issue:4704", + "issue:11907|issue:9202", + "issue:1917|issue:5605", + "issue:2674|issue:771", + "issue:7243|issue:7948", + "issue:2577|issue:3442", + "issue:3871|issue:4728", + "issue:11023|issue:7616", + "issue:11127|issue:11258", + "issue:6323|issue:9856", + "issue:10928|issue:3901", + "issue:6911|issue:8738", + "issue:8309|issue:8414", + "issue:10054|issue:6054", + "issue:4756|issue:5014", + "issue:5254|issue:7180", + "issue:11422|issue:9841", + "issue:2107|issue:4255", + "issue:3487|issue:6749", + "issue:4349|issue:5515", + "issue:3218|issue:5617", + "issue:8879|issue:9091" + ], + "prepared_review_unit_hash": "b824c227d4a0bb7844cff1cccb4a8a590fb35bf0cb21e8dc81c39d5e37c63e08", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34589, + "estimated_input_tokens": 8648, + "estimated_eval_tokens": 17552 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a false-positive mix of mostly unrelated issues. The only near-theme overlap is a small pair of EulerDiscreteScheduler reports, but they describe different bugs. No PRs are present, and no soft pair should be merged as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": "Issue 6054 is the most concrete, code-path-specific bug report in the set (EulerDiscreteScheduler set_timesteps misuse). It is clearer and more actionable than the broader support requests and unrelated runtime errors.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6054 is the strongest representative issue because it names a specific failing scheduler method and a concrete error mechanism, making it the best single issue anchor for this cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1363", + "right": "issue:4307", + "accept": false, + "reason": "Both mention loading/runtime errors, but one is ONNX long-prompt weighting with LMSDiscreteScheduler and the other is local_files_only from_pretrained behavior; different code paths and failure modes." + }, + { + "left": "issue:10925", + "right": "issue:9514", + "accept": false, + "reason": "Both are Flux-related model issues, but one is Dreambooth finetuning with CLIPTextModel and the other is LoRA loading after fp8 quantization; unrelated problems." + }, + { + "left": "issue:3284", + "right": "issue:4704", + "accept": false, + "reason": "Both concern training scripts failing, but one is accelerate integration for Dreambooth LoRA and the other is Custom Diffusion training; not the same bug." + }, + { + "left": "issue:11907", + "right": "issue:9202", + "accept": false, + "reason": "Flux scheduler incompatibility versus SDXL PAGPipeline/IP-Adapter compatibility; different models, pipelines, and error causes." + }, + { + "left": "issue:1917", + "right": "issue:5605", + "accept": false, + "reason": "One is a request for more integration tests, the other is a feature request for per-image captions; not duplicates." + }, + { + "left": "issue:2674", + "right": "issue:771", + "accept": false, + "reason": "Safetensors dependency/requirements issue versus BF16 dreambooth support; different environments and fixes." + }, + { + "left": "issue:7243", + "right": "issue:7948", + "accept": false, + "reason": "ResAdapter model request versus MuLan language adapter support; both are model-feature requests, but not the same change." + }, + { + "left": "issue:2577", + "right": "issue:3442", + "accept": false, + "reason": "DDIMInverseScheduler usage problem versus textual inversion embedding dimension mismatch; unrelated training/inference bugs." + }, + { + "left": "issue:3871", + "right": "issue:4728", + "accept": false, + "reason": "Checkpoint resume error in text-to-image training versus a different resume-from-checkpoint OOM report; same broad area, but not the same underlying issue." + }, + { + "left": "issue:11023", + "right": "issue:7616", + "accept": false, + "reason": "Both mention poor blur/artifact output, but one is a custom pipeline on Playground v2.5 and the other is low-denoise img2img artifacts; not the same concrete bug." + }, + { + "left": "issue:11127", + "right": "issue:11258", + "accept": false, + "reason": "Single-file Flux model loading failure versus LTX single-file support; different models and serialization/loading paths." + }, + { + "left": "issue:6323", + "right": "issue:9856", + "accept": false, + "reason": "One is a TensorRT pipeline attribute error, the other is a distributed port conflict; completely different failure modes." + }, + { + "left": "issue:10928", + "right": "issue:3901", + "accept": false, + "reason": "Missing diffusion_pytorch_model.fp16.bin in a model directory versus missing requirements.txt; both are file-not-found errors, but not the same artifact or fix." + }, + { + "left": "issue:6911", + "right": "issue:8738", + "accept": false, + "reason": "Class labels ignored in UNetConditional3DModel versus SD3Transformer2DModel configuration failure; different components and bugs." + }, + { + "left": "issue:8309", + "right": "issue:8414", + "accept": false, + "reason": "Conditional diffusion distillation request versus ConsistencyTTA model request; both are high-level research/model proposals, not duplicates." + }, + { + "left": "issue:10054", + "right": "issue:6054", + "accept": false, + "reason": "Both are EulerDiscreteScheduler bugs, but one is wrong torch.linspace parameters in beta-sigma testing while the other is torch.from_numpy misuse in set_timesteps; related but distinct code paths." + }, + { + "left": "issue:4756", + "right": "issue:5014", + "accept": false, + "reason": "SDXL dreambooth per-image caption support request versus poor results from dreambooth LoRA training; one is a feature request, the other a quality complaint." + }, + { + "left": "issue:5254", + "right": "issue:7180", + "accept": false, + "reason": "Multi-ControlNet support request versus SDXL image-to-image ControlNet CPU offload failure; different pipeline capabilities and bugs." + }, + { + "left": "issue:11422", + "right": "issue:9841", + "accept": false, + "reason": "Validation prompt crash in HiDream LoRA training versus TypeError in DreamBooth SDXL LoRA when use_dora is false; both training issues, but different parameters and stack paths." + }, + { + "left": "issue:2107", + "right": "issue:4255", + "accept": false, + "reason": "Low-resolution glitch/black images versus general 'results worse than sd-webui' comparison; too broad and not the same bug." + }, + { + "left": "issue:3487", + "right": "issue:6749", + "accept": false, + "reason": "EulerAncestralDiscreteScheduler poor inpaint results versus InstantID replication issues; different pipelines and symptom sets." + }, + { + "left": "issue:4349", + "right": "issue:5515", + "accept": false, + "reason": "Upscale pipeline requiring text_encoder despite prompt_embeds versus LCM pipeline initialization without scheduler; unrelated initialization contract issues." + }, + { + "left": "issue:3218", + "right": "issue:5617", + "accept": false, + "reason": "torch.compile graph breaks in attention/control_net versus compiled img2imgControlNet failing to load after save_pretrained; related to compilation, but not the same defect." + }, + { + "left": "issue:8879", + "right": "issue:9091", + "accept": false, + "reason": "torch.compile+cudagraph failure on StableDiffusionXL versus Torch Compile support for a VAE decoder; same tooling, but different subsystems and concrete failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 146, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10055", + "issue:10066", + "issue:10178", + "issue:10282", + "issue:10392", + "issue:10722", + "issue:12157", + "issue:12458", + "issue:13079", + "issue:13140", + "issue:1617", + "issue:1883", + "issue:2392", + "issue:2695", + "issue:3101", + "issue:3175", + "issue:3379", + "issue:3405", + "issue:4206", + "issue:4241", + "issue:455", + "issue:4726", + "issue:4885", + "issue:540", + "issue:5433", + "issue:5661", + "issue:5846", + "issue:5925", + "issue:5972", + "issue:6354", + "issue:6368", + "issue:6996", + "issue:7133", + "issue:7146", + "issue:7197", + "issue:752", + "issue:7593", + "issue:760", + "issue:7690", + "issue:7793", + "issue:8589", + "issue:9178", + "issue:9200", + "issue:9556", + "issue:9558", + "issue:9630", + "issue:9667", + "issue:9717" + ], + "soft_pairs": [ + "issue:10066|issue:6368", + "issue:10282|issue:12157", + "issue:1883|issue:540", + "issue:3379|issue:7690", + "issue:5433|issue:9556", + "issue:9667|issue:9717", + "issue:1617|issue:3175", + "issue:4726|issue:7593", + "issue:4885|issue:7793", + "issue:7197|issue:9558", + "issue:10178|issue:10722", + "issue:5972|issue:9630", + "issue:10055|issue:8589", + "issue:12458|issue:13140", + "issue:5925|issue:6354", + "issue:3379|issue:7133", + "issue:10392|issue:9178", + "issue:1617|issue:5846", + "issue:2695|issue:3101", + "issue:3405|issue:4206", + "issue:13079|issue:7146", + "issue:2392|issue:6996", + "issue:4241|issue:752", + "issue:455|issue:760", + "issue:5661|issue:9200" + ], + "prepared_review_unit_hash": "1e3f09078e0307d23eedf58c4174188dfef246c91a900ae0457eb3370ea91c98", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34574, + "estimated_input_tokens": 8644, + "estimated_eval_tokens": 17544 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This looks like a loose training/inference bug cluster spanning ControlNet, DreamBooth, Flux, and Qwen. None of the soft pairs appear to be true duplicates of the same underlying bug/change.", + "confidence": 0.91, + "canonical_issue_reason": "issue:4206 is the broadest ControlNet-training failure in the set and best matches the cluster\u2019s main theme; the other items are mostly narrower, unrelated, or model-specific failures.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:4206 is the most representative single issue for the overall ControlNet training problem space in this cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10066", + "right": "issue:6368", + "accept": false, + "reason": "Different failures: attention unpack error vs unsupported LoRA checkpoint alpha metadata." + }, + { + "left": "issue:10282", + "right": "issue:12157", + "accept": false, + "reason": "Different error paths: x_embedder weight shape mismatch vs torch.device iteration TypeError." + }, + { + "left": "issue:1883", + "right": "issue:540", + "accept": false, + "reason": "Both touch memory/efficiency, but one is VAE gradient checkpointing and the other is UNet placement on GPU; not the same bug/change." + }, + { + "left": "issue:3379", + "right": "issue:7690", + "accept": false, + "reason": "Different components: intermediate checkpoint loading vs tokenizer loading failure." + }, + { + "left": "issue:5433", + "right": "issue:9556", + "accept": false, + "reason": "Visual artifacts from a scheduler issue vs saved LoRA model problems with rslora; not the same issue." + }, + { + "left": "issue:9667", + "right": "issue:9717", + "accept": false, + "reason": "Both involve FLUX, but one is an fp8 model-loading issue and the other is a docker image error; distinct code paths." + }, + { + "left": "issue:1617", + "right": "issue:3175", + "accept": false, + "reason": "Generic argument parsing error vs multi-face DreamBooth training scenario; not the same failure." + }, + { + "left": "issue:4726", + "right": "issue:7593", + "accept": false, + "reason": "Incorrect callback typing vs missing image_projection_layers on a None pipeline object; unrelated bugs." + }, + { + "left": "issue:4885", + "right": "issue:7793", + "accept": false, + "reason": "Different LoRA-related errors in different pipelines/models; not the same underlying bug." + }, + { + "left": "issue:7197", + "right": "issue:9558", + "accept": false, + "reason": "Resume-training KeyError vs black validation image in TensorBoard; unrelated." + }, + { + "left": "issue:10178", + "right": "issue:10722", + "accept": false, + "reason": "Both are size mismatches, but they occur in different model parts and training flows; not clearly the same bug." + }, + { + "left": "issue:5972", + "right": "issue:9630", + "accept": false, + "reason": "Documentation/min-SNR weighting vs FLUX ControlNet runtime error; unrelated." + }, + { + "left": "issue:10055", + "right": "issue:8589", + "accept": false, + "reason": "Both are SD3 training issues, but one is ControlNet training script failure and the other is DreamBooth prior-preservation failure; different bugs." + }, + { + "left": "issue:12458", + "right": "issue:13140", + "accept": false, + "reason": "Batch inference feature request vs pipeline TypeError; related model family, but not the same underlying issue." + }, + { + "left": "issue:5925", + "right": "issue:6354", + "accept": false, + "reason": "Multi-LoRA inference feature request vs adding LoRA support for ControlNet; different changes." + }, + { + "left": "issue:3379", + "right": "issue:7133", + "accept": false, + "reason": "Both involve checkpoint/resume handling, but one is intermediate checkpoint loading and the other is text-encoder size mismatch on resume; not the same bug." + }, + { + "left": "issue:10392", + "right": "issue:9178", + "accept": false, + "reason": "Different FLUX LoRA training problems: one is a specific model/recipe combo, the other is PEFT target module resolution." + }, + { + "left": "issue:1617", + "right": "issue:5846", + "accept": false, + "reason": "Argument-required CLI failure vs resume_from_checkpoint error; different issue types." + }, + { + "left": "issue:2695", + "right": "issue:3101", + "accept": false, + "reason": "Validation/TensorBoard reporting bug vs ControlNet example training error; not the same code-path problem." + }, + { + "left": "issue:3405", + "right": "issue:4206", + "accept": false, + "reason": "Both mention ControlNet training, but one is a generic training-process bug and the other is specifically SDXL main-branch breakage; insufficient evidence of duplication." + }, + { + "left": "issue:13079", + "right": "issue:7146", + "accept": false, + "reason": "Different models and failures: FLUX.2-klein loop OOM vs SDXL fine-tuning OOM." + }, + { + "left": "issue:2392", + "right": "issue:6996", + "accept": false, + "reason": "Different NoneType conditioning errors in different pipelines; similar shape, but not the same bug." + }, + { + "left": "issue:4241", + "right": "issue:752", + "accept": false, + "reason": "Both are feature requests about training capability, but one is unidiffusers LoRA support and the other is DreamBooth multi-concept support." + }, + { + "left": "issue:455", + "right": "issue:760", + "accept": false, + "reason": "Both are MPS-related, but one is an aten::index.Tensor NotImplementedError and the other is unexpected output on MPS; different issues." + }, + { + "left": "issue:5661", + "right": "issue:9200", + "accept": false, + "reason": "Tokenizer import error vs SDXL ControlNet dtype error; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 147, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10049", + "issue:10227", + "issue:10540", + "issue:10653", + "issue:10937", + "issue:11241", + "issue:11435", + "issue:11749", + "issue:1185", + "issue:11864", + "issue:11989", + "issue:13104", + "issue:1375", + "issue:1541", + "issue:175", + "issue:2214", + "issue:2668", + "issue:3296", + "issue:3346", + "issue:3379", + "issue:3454", + "issue:3468", + "issue:3765", + "issue:4000", + "issue:4107", + "issue:4324", + "issue:4530", + "issue:4754", + "issue:5022", + "issue:5441", + "issue:5558", + "issue:5811", + "issue:6139", + "issue:6218", + "issue:6574", + "issue:6661", + "issue:7082", + "issue:7136", + "issue:7357", + "issue:776", + "issue:7785", + "issue:8729", + "issue:8915", + "issue:9142", + "issue:954", + "issue:9558", + "issue:9822", + "issue:988" + ], + "soft_pairs": [ + "issue:4530|issue:6574", + "issue:4107|issue:8729", + "issue:10227|issue:10653", + "issue:3379|issue:954", + "issue:5811|issue:7136", + "issue:3468|issue:4754", + "issue:5558|issue:9142", + "issue:1185|issue:1541", + "issue:4000|issue:7785", + "issue:11864|issue:13104", + "issue:3296|issue:4324", + "issue:5441|issue:6139", + "issue:11241|issue:11749", + "issue:2668|issue:6218", + "issue:3765|issue:6661", + "issue:10049|issue:8915", + "issue:10937|issue:7357", + "issue:1375|issue:5022", + "issue:175|issue:988", + "issue:11435|issue:7082", + "issue:10540|issue:9822", + "issue:2214|issue:776", + "issue:3346|issue:3454", + "issue:11989|issue:9558" + ], + "prepared_review_unit_hash": "2af57872a28822f5bd220bd20dcac470290b7f74f6b9c1874ec5c155ef41c659", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34190, + "estimated_input_tokens": 8548, + "estimated_eval_tokens": 17352 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is not a single duplicate cluster: the items span unrelated import errors, training bugs, scheduler issues, and visualization regressions. None of the soft pairs looks like the same underlying bug/change with enough confidence to merge.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4530", + "right": "issue:6574", + "accept": false, + "reason": "Both mention bad image output, but one is SDXL refiner artifacts and the other is an SVD tensor warning; different pipelines and symptoms." + }, + { + "left": "issue:4107", + "right": "issue:8729", + "accept": false, + "reason": "Both concern degraded images during SDXL-related workflows, but one is LoRA noise/quality and the other is a ControlNet validation-image issue in a different training script." + }, + { + "left": "issue:10227", + "right": "issue:10653", + "accept": false, + "reason": "Completely different failures: LoRA feature-dimension support vs bitsandbytes 8-bit .to() device \u057f\u0565\u0572\u0561\u0583\u0578\u056dation." + }, + { + "left": "issue:3379", + "right": "issue:954", + "accept": false, + "reason": "Dreambooth intermediate checkpoint loading is unrelated to a post-login load failure." + }, + { + "left": "issue:5811", + "right": "issue:7136", + "accept": false, + "reason": "Both are about `callback_on_step_end`, but one requests it across all pipelines while the other is a specific pipeline request; not the same concrete bug/change." + }, + { + "left": "issue:3468", + "right": "issue:4754", + "accept": false, + "reason": "Both involve `model_index.json`, but one is missing it after Dreambooth training and the other after textual inversion load; related symptom, different code paths." + }, + { + "left": "issue:5558", + "right": "issue:9142", + "accept": false, + "reason": "Different ControlNet problems: multi-ControlNet artifacts vs a Hunyuan DiT loading error with list `__module__`." + }, + { + "left": "issue:1185", + "right": "issue:1541", + "accept": false, + "reason": "Dreambooth non-reproducibility is not the same as CKPT/model-type detection failing to load." + }, + { + "left": "issue:4000", + "right": "issue:7785", + "accept": false, + "reason": "CKPT-to-diffusers conversion and first-inference slowness are unrelated issues." + }, + { + "left": "issue:11864", + "right": "issue:13104", + "accept": false, + "reason": "Both are `name not defined` errors, but for different missing symbols in different parts of the code." + }, + { + "left": "issue:3296", + "right": "issue:4324", + "accept": false, + "reason": "Checkpoint save/load with text encoder is unrelated to a UNet forward TypeError." + }, + { + "left": "issue:5441", + "right": "issue:6139", + "accept": false, + "reason": "Both mention `attn_processors`, but they affect different model classes and likely different regressions." + }, + { + "left": "issue:11241", + "right": "issue:11749", + "accept": false, + "reason": "A training-time floating point exception is not the same as scheduler timestep floating point inaccuracies." + }, + { + "left": "issue:2668", + "right": "issue:6218", + "accept": false, + "reason": "Both involve ControlNet/Img2Img pipelines, but one is image routing being wrong and the other is batched seeds behavior." + }, + { + "left": "issue:3765", + "right": "issue:6661", + "accept": false, + "reason": "ControlNet training artifacts and an MPS OOM are distinct problems." + }, + { + "left": "issue:10049", + "right": "issue:8915", + "accept": false, + "reason": "Different import errors for different pipeline classes; no shared underlying bug." + }, + { + "left": "issue:10937", + "right": "issue:7357", + "accept": false, + "reason": "One is a `torch.compile` failure in `vae.encode`, the other is a performance complaint despite compilation; not the same issue." + }, + { + "left": "issue:1375", + "right": "issue:5022", + "accept": false, + "reason": "Both are import regressions, but they involve different symbols, versions, and root causes." + }, + { + "left": "issue:175", + "right": "issue:988", + "accept": false, + "reason": "Manual-seed correctness in a training example is unrelated to FSDP training support." + }, + { + "left": "issue:11435", + "right": "issue:7082", + "accept": false, + "reason": "Different import failures in unrelated modules (`HiDreamImagePipeline` vs `accelerate.hooks.CpuOffload`)." + }, + { + "left": "issue:10540", + "right": "issue:9822", + "accept": false, + "reason": "Both mention Flux/SDXL, but one is `from_single_file` loading after Flux Fill support and the other is loading SDXL LoRAs into Flux." + }, + { + "left": "issue:2214", + "right": "issue:776", + "accept": false, + "reason": "NSFW filtering and batch-size>1 image-to-image behavior are unrelated." + }, + { + "left": "issue:3346", + "right": "issue:3454", + "accept": false, + "reason": "One is a feature request for checkpoint resume; the other is a broader script breakage on newer versions." + }, + { + "left": "issue:11989", + "right": "issue:9558", + "accept": false, + "reason": "Both mention black images, but one is inference output and the other is a black validation image in TensorBoard; likely different causes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 148, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10049", + "issue:10382", + "issue:10863", + "issue:11321", + "issue:11363", + "issue:11383", + "issue:11396", + "issue:11574", + "issue:12489", + "issue:1774", + "issue:1802", + "issue:1925", + "issue:1976", + "issue:2163", + "issue:2203", + "issue:2480", + "issue:2581", + "issue:2774", + "issue:2844", + "issue:3461", + "issue:3674", + "issue:3717", + "issue:3803", + "issue:4030", + "issue:4031", + "issue:4125", + "issue:455", + "issue:4615", + "issue:4835", + "issue:4935", + "issue:5540", + "issue:5647", + "issue:5875", + "issue:5956", + "issue:6250", + "issue:6362", + "issue:6435", + "issue:6713", + "issue:6899", + "issue:7082", + "issue:7431", + "issue:7483", + "issue:7785", + "issue:9063", + "issue:9154", + "issue:9178", + "issue:993" + ], + "soft_pairs": [ + "issue:11321|issue:9178", + "issue:2844|issue:4030", + "issue:2203|issue:2480", + "issue:455|issue:993", + "issue:1976|issue:6435", + "issue:4615|issue:7082", + "issue:2581|issue:2774", + "issue:5956|issue:6362", + "issue:1774|issue:5540", + "issue:10382|issue:11574", + "issue:2163|issue:4935", + "issue:5875|issue:7483", + "issue:6713|issue:6899", + "issue:3674|issue:4125", + "issue:3717|issue:3803", + "issue:4031|issue:6250", + "issue:7785|issue:9063", + "issue:10049|issue:7082", + "issue:1802|issue:1925", + "issue:3461|issue:7431", + "issue:4835|issue:5647", + "issue:10863|issue:9154", + "issue:11363|issue:12489", + "issue:11383|issue:11396" + ], + "prepared_review_unit_hash": "b2a05080e821d98b0f3b50563d0c93b1065562cb6f7d7943a01307f3ba542651", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33514, + "estimated_input_tokens": 8379, + "estimated_eval_tokens": 17014 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most suggested pairs are false positives: they share broad themes like ControlNet, LoRA, VAE, OOM, or import errors, but not the same concrete bug or change. No clear canonical duplicate issue emerges from this set.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11321", + "right": "issue:9178", + "accept": false, + "reason": "Both are Flux training-related, but one is a README/docs bug and the other is a PEFT target-module runtime error; different underlying problems." + }, + { + "left": "issue:2844", + "right": "issue:4030", + "accept": false, + "reason": "Both mention embedding-related runtime errors, but they affect different pipelines and failure modes; not the same bug." + }, + { + "left": "issue:2203", + "right": "issue:2480", + "accept": false, + "reason": "Both concern training script output paths, but one is about download location and the other about checkpoint folder structure; different issues." + }, + { + "left": "issue:455", + "right": "issue:993", + "accept": false, + "reason": "Both are dtype/device-related, but one is an MPS indexing limitation and the other is an fp16 mismatch in Stable Diffusion; not a duplicate." + }, + { + "left": "issue:1976", + "right": "issue:6435", + "accept": false, + "reason": "An incorrect file path error and a ControlNet width/height initialization bug are unrelated." + }, + { + "left": "issue:4615", + "right": "issue:7082", + "accept": false, + "reason": "Both are import errors, but for different symbols and dependencies; no shared code-path bug is evident." + }, + { + "left": "issue:2581", + "right": "issue:2774", + "accept": false, + "reason": "Both involve ControlNet conversion, but one is a feature/support request and the other is a specific conversion failure; not clearly the same bug." + }, + { + "left": "issue:5956", + "right": "issue:6362", + "accept": false, + "reason": "One is degraded fine-tuning performance, the other is dataset-mapping OOM; same area, different problems." + }, + { + "left": "issue:1774", + "right": "issue:5540", + "accept": false, + "reason": "Both are OOM reports, but they occur in different contexts and likely have different root causes." + }, + { + "left": "issue:10382", + "right": "issue:11574", + "accept": false, + "reason": "Both are VAE/encoder-related, but one is a return-type AttributeError and the other is a missing weight KeyError; not the same bug." + }, + { + "left": "issue:2163", + "right": "issue:4935", + "accept": false, + "reason": "A UNet dtype mismatch and a question about AttnProcsLayers usage are unrelated training issues." + }, + { + "left": "issue:5875", + "right": "issue:7483", + "accept": false, + "reason": "Both mention SDXL conversion, but they target different conversion paths and different failures." + }, + { + "left": "issue:6713", + "right": "issue:6899", + "accept": false, + "reason": "Same script family, but one reports HeaderTooLarge and the other is a generic bug report; insufficient evidence of the same underlying issue." + }, + { + "left": "issue:3674", + "right": "issue:4125", + "accept": false, + "reason": "Metadata.jsonl parsing and loss-curve questions are unrelated." + }, + { + "left": "issue:3717", + "right": "issue:3803", + "accept": false, + "reason": "Both are multi-GPU training issues, but one is OOM and the other is model sharing across GPUs; different defects." + }, + { + "left": "issue:4031", + "right": "issue:6250", + "accept": false, + "reason": "A local safety-checker loading failure and an SDXL VAE single-file KeyError are separate component bugs." + }, + { + "left": "issue:7785", + "right": "issue:9063", + "accept": false, + "reason": "Performance regression and tokenizer instantiation failure are unrelated." + }, + { + "left": "issue:10049", + "right": "issue:7082", + "accept": false, + "reason": "Both are import-related, but they concern different modules and failures." + }, + { + "left": "issue:1802", + "right": "issue:1925", + "accept": false, + "reason": "A conditioning-input behavior bug and a half-precision inpainting problem are not the same issue." + }, + { + "left": "issue:3461", + "right": "issue:7431", + "accept": false, + "reason": "Both are Dreambooth training topics, but they describe different optimization/training setups and different symptoms." + }, + { + "left": "issue:4835", + "right": "issue:5647", + "accept": false, + "reason": "Both are SDXL pipeline bugs, but they affect different pipelines and different trigger conditions." + }, + { + "left": "issue:10863", + "right": "issue:9154", + "accept": false, + "reason": "Both are model-file loading issues, but one is general safetensors loading and the other is VAE PT loading; not the same bug." + }, + { + "left": "issue:11363", + "right": "issue:12489", + "accept": false, + "reason": "Both mention ControlNet and CUDA, but one is OOM while the other is an sm_120 kernel compatibility failure." + }, + { + "left": "issue:11383", + "right": "issue:11396", + "accept": false, + "reason": "HiDream LoRA support and conversion-to-ComfyUI questions are related but distinct requests, not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 149, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10475", + "issue:12012", + "issue:12175", + "issue:1290", + "issue:1388", + "issue:1407", + "issue:1524", + "issue:1565", + "issue:1798", + "issue:1915", + "issue:1985", + "issue:2250", + "issue:2312", + "issue:2780", + "issue:2784", + "issue:2819", + "issue:2844", + "issue:3087", + "issue:3175", + "issue:3193", + "issue:3468", + "issue:3539", + "issue:381", + "issue:3871", + "issue:4241", + "issue:4304", + "issue:434", + "issue:4386", + "issue:4680", + "issue:5016", + "issue:5197", + "issue:5504", + "issue:5577", + "issue:5619", + "issue:5857", + "issue:5966", + "issue:6203", + "issue:6278", + "issue:6333", + "issue:7049", + "issue:7114", + "issue:7238", + "issue:7311", + "issue:7871", + "issue:7960", + "issue:8390", + "issue:9856" + ], + "soft_pairs": [ + "issue:1290|issue:1915", + "issue:1388|issue:1798", + "issue:1524|issue:2780", + "issue:1985|issue:3193", + "issue:2784|issue:3087", + "issue:3539|issue:6203", + "issue:381|issue:434", + "issue:3871|issue:5197", + "issue:4241|issue:4680", + "issue:4304|issue:4386", + "issue:5504|issue:6333", + "issue:5966|issue:8390", + "issue:6278|issue:7960", + "issue:7114|issue:7311", + "issue:3175|issue:5016", + "issue:7049|issue:7238", + "issue:5619|issue:5857", + "issue:5577|issue:7871", + "issue:10475|issue:12175", + "issue:2312|issue:2844", + "issue:1565|issue:9856", + "issue:12012|issue:1407", + "issue:1524|issue:2819", + "issue:2250|issue:3468" + ], + "prepared_review_unit_hash": "23cf9fd6bf4e063b2c7fb31167d5d01c710fc919404401d4c36bb061e9eb36ff", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33709, + "estimated_input_tokens": 8428, + "estimated_eval_tokens": 17112 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set; it mixes many unrelated diffusers issues across training, inference, ControlNet, LoRA, OOM, and distributed setup. I would not merge any of the soft-edge pairs.", + "confidence": 0.91, + "canonical_issue_reason": "issue:10475 is the broadest image-quality/fine-tuning regression among the set, but it is only a loose representative; the cluster as a whole does not center on one concrete bug.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10475 is the closest to a general, user-facing diffusion quality problem and is more representative than the very narrow error reports or feature requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1290", + "right": "issue:1915", + "accept": false, + "reason": "DreamArtist community request vs unclip weight hub-unification task; different features and different workflows." + }, + { + "left": "issue:1388", + "right": "issue:1798", + "accept": false, + "reason": "SD2 conversion-script adaptation vs Flax dreambooth v_prediction support; unrelated code paths." + }, + { + "left": "issue:1524", + "right": "issue:2780", + "accept": false, + "reason": "Textual inversion poor quality vs FP16 unscale gradient error in LoRA training; different failure modes." + }, + { + "left": "issue:1985", + "right": "issue:3193", + "accept": false, + "reason": "General embedding-loading UX request vs batch loading embeddings; same broad area but not the same underlying bug/change." + }, + { + "left": "issue:2784", + "right": "issue:3087", + "accept": false, + "reason": "Dreambooth support for text2video vs LyCORIS/LoCon/LoHA support; both feature requests, but not one concrete change." + }, + { + "left": "issue:3539", + "right": "issue:6203", + "accept": false, + "reason": "main_process_first question vs SDXL ControlNet image-size question; unrelated training/utilities topics." + }, + { + "left": "issue:381", + "right": "issue:434", + "accept": false, + "reason": "Notebook inference-pipeline error vs old notebook compatibility issue; too generic to be the same bug." + }, + { + "left": "issue:3871", + "right": "issue:5197", + "accept": false, + "reason": "Checkpoint resume error vs multi-GPU slowdown; both training-related but distinct problems." + }, + { + "left": "issue:4241", + "right": "issue:4680", + "accept": false, + "reason": "LoRA fine-tuning request for unidiffusers vs SDXL inpainting fine-tuning; different model/task requests." + }, + { + "left": "issue:4304", + "right": "issue:4386", + "accept": false, + "reason": "SDXL Text-to-Image LoRA support request vs converting an SDXL LoRA safetensor; not the same bug or change." + }, + { + "left": "issue:5504", + "right": "issue:6333", + "accept": false, + "reason": "PEFT LoRA xformers incompatibility vs finetuning a pre-trained LoRA by PEFT; overlapping topic, but not one concrete fix." + }, + { + "left": "issue:5966", + "right": "issue:8390", + "accept": false, + "reason": "Stable Diffusion 2.1 ControlNet support request vs Stable Cascade ControlNet training; different models and different work." + }, + { + "left": "issue:6278", + "right": "issue:7960", + "accept": false, + "reason": "Multi-GPU LCM distillation failure vs SDXL multi-GPU training failure; both distributed-training issues, but not the same code-path." + }, + { + "left": "issue:7114", + "right": "issue:7311", + "accept": false, + "reason": "CUDA OOM during SDXL training vs checkpoint save failure; distinct training-stage failures." + }, + { + "left": "issue:3175", + "right": "issue:5016", + "accept": false, + "reason": "Multi-face Dreambooth request vs SDXL Dreambooth LoRA text-encoder training bug; not the same issue." + }, + { + "left": "issue:7049", + "right": "issue:7238", + "accept": false, + "reason": "IP-Adapter unpacking error vs IP-Adapter masking feature; same subsystem, different problem/change." + }, + { + "left": "issue:5619", + "right": "issue:5857", + "accept": false, + "reason": "AutoencodeTiny img2img encode failure vs LCM LoRA quality on AnimateDiff SDXL; unrelated runtime bug vs quality issue." + }, + { + "left": "issue:5577", + "right": "issue:7871", + "accept": false, + "reason": "ControlNet single-file loading KeyError vs blockwise scales error with a LoRA; different model-loading and training paths." + }, + { + "left": "issue:10475", + "right": "issue:12175", + "accept": false, + "reason": "Both mention image quality, but one is an SD3 fine-tuning/inference comparison and the other is Qwen Image quality; too model-specific to be duplicates." + }, + { + "left": "issue:2312", + "right": "issue:2844", + "accept": false, + "reason": "EMA save hook error during text-to-image fine-tuning vs explicit image-embedding runtime error in StableUnCLIPImg2Img; unrelated." + }, + { + "left": "issue:1565", + "right": "issue:9856", + "accept": false, + "reason": "GPU selection/OOM complaint vs distributed port conflict; completely different resource-management issues." + }, + { + "left": "issue:12012", + "right": "issue:1407", + "accept": false, + "reason": "Wan 2.2 first-block cache context error vs Onnx pipeline feature_extractor regression; unrelated stack and failure." + }, + { + "left": "issue:1524", + "right": "issue:2819", + "accept": false, + "reason": "Poor SD2 textual-inversion training quality vs notebook download failure from raw.githubusercontent.com; not the same issue." + }, + { + "left": "issue:2250", + "right": "issue:3468", + "accept": false, + "reason": "Dreambooth inference prompt generation failure vs missing model_index.json after Dreambooth training; different stages and symptoms." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 150, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1005", + "issue:10066", + "issue:10337", + "issue:10972", + "issue:1181", + "issue:11833", + "issue:1261", + "issue:12689", + "issue:1407", + "issue:1865", + "issue:1969", + "issue:2439", + "issue:2444", + "issue:2507", + "issue:2775", + "issue:2786", + "issue:2893", + "issue:3061", + "issue:3198", + "issue:3808", + "issue:4186", + "issue:4366", + "issue:4782", + "issue:5023", + "issue:5224", + "issue:5226", + "issue:5327", + "issue:5455", + "issue:5737", + "issue:5892", + "issue:6239", + "issue:6383", + "issue:6435", + "issue:6713", + "issue:6815", + "issue:7003", + "issue:7049", + "issue:7357", + "issue:7978", + "issue:7985", + "issue:8450", + "issue:8832", + "issue:8854", + "issue:8955", + "issue:9497", + "issue:9810", + "issue:9876", + "issue:9913" + ], + "soft_pairs": [ + "issue:10337|issue:10972", + "issue:2507|issue:3198", + "issue:1181|issue:4366", + "issue:5226|issue:7978", + "issue:7357|issue:7985", + "issue:2439|issue:3061", + "issue:2893|issue:6435", + "issue:4782|issue:8450", + "issue:5023|issue:5892", + "issue:5737|issue:6713", + "issue:9876|issue:9913", + "issue:1261|issue:1969", + "issue:1865|issue:2444", + "issue:5327|issue:8854", + "issue:6815|issue:8832", + "issue:4186|issue:5224", + "issue:8955|issue:9497", + "issue:2775|issue:6239", + "issue:1005|issue:2786", + "issue:11833|issue:12689", + "issue:6383|issue:9810", + "issue:7003|issue:7049", + "issue:10066|issue:1407", + "issue:3808|issue:5455" + ], + "prepared_review_unit_hash": "1009a5ec7639e0f5e599fb4e67dc8ffb6cdfa7237ba123bad65a9e3c270f2280", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33944, + "estimated_input_tokens": 8486, + "estimated_eval_tokens": 17228 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous noise: the items span unrelated bugs, training issues, import errors, and pipeline-specific failures. Only the SDXL textual-inversion/embedding-loading pair looks plausibly duplicate-like.", + "confidence": 0.92, + "canonical_issue_reason": "No single cluster-wide canonical issue is a good fit because the set is not a coherent duplicate cluster; the only plausible duplicate sub-pair is the SDXL textual-inversion/embedding loading reports (5327/8854).", + "canonical_pr_reason": null, + "best_issue_reason": "If a single anchor is needed, issue 5327 is the clearest representative because it most directly names the SDXL textual-inversion loading failure shared with 8854.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10337", + "right": "issue:10972", + "accept": false, + "reason": "Both mention Flux/LoRA, but one is an IPAdapter failure under quantized transformers and the other is a LoRA checkpoint-loading problem; different code paths." + }, + { + "left": "issue:2507", + "right": "issue:3198", + "accept": false, + "reason": "One is a performance complaint about GPU safetensors loading, the other is a textual-inversion loading error; not the same bug." + }, + { + "left": "issue:1181", + "right": "issue:4366", + "accept": false, + "reason": "Training-from-scratch guidance and SDXL full-U-Net fine-tuning are different requests/issues, not the same defect." + }, + { + "left": "issue:5226", + "right": "issue:7978", + "accept": false, + "reason": "SDXLAdapterPipeline load_lora_weights failure and a missing torchvision nms operator are unrelated." + }, + { + "left": "issue:7357", + "right": "issue:7985", + "accept": false, + "reason": "Both involve torch.compile/Lora/IPAdapter, but they describe different failures and likely different fixes." + }, + { + "left": "issue:2439", + "right": "issue:3061", + "accept": false, + "reason": "Inpainting pipeline load/run problems and reproducibility issues are not the same underlying bug." + }, + { + "left": "issue:2893", + "right": "issue:6435", + "accept": false, + "reason": "Width/height swap in ControlNet is different from default width/height not being initialized." + }, + { + "left": "issue:4782", + "right": "issue:8450", + "accept": false, + "reason": "Both are inpainting-related, but mask leakage and SDXL refiner noise at strength=1.0 are distinct symptoms." + }, + { + "left": "issue:5023", + "right": "issue:5892", + "accept": false, + "reason": "A WuerstchenCombinedPipeline import error is not the same as a generic import error." + }, + { + "left": "issue:5737", + "right": "issue:6713", + "accept": false, + "reason": "Same script, but different failures: SDXL conversion failure vs HeaderTooLarge." + }, + { + "left": "issue:9876", + "right": "issue:9913", + "accept": false, + "reason": "VRAM not being released after LoRA training is a memory-lifecycle issue, while set_lora_device not working is a device-placement issue." + }, + { + "left": "issue:1261", + "right": "issue:1969", + "accept": false, + "reason": "Xformers backward-pass assert and a tensor view/stride RuntimeError are different low-level failures." + }, + { + "left": "issue:1865", + "right": "issue:2444", + "accept": false, + "reason": "Zero-stage3 SD2 dimension error and a non-zero exit from a Dreambooth inpaint script are not the same bug." + }, + { + "left": "issue:5327", + "right": "issue:8854", + "accept": true, + "reason": "Both report SDXL textual-inversion/textual-embedding loading failures, which look like the same underlying bug." + }, + { + "left": "issue:6815", + "right": "issue:8832", + "accept": false, + "reason": "Black-image casting warnings and a crash at pipe(prompt).images[0] are unrelated symptoms." + }, + { + "left": "issue:4186", + "right": "issue:5224", + "accept": false, + "reason": "SDXL inpaint/refiner failure and a Flax Stable Diffusion 2.1 error are different pipelines and bugs." + }, + { + "left": "issue:8955", + "right": "issue:9497", + "accept": false, + "reason": "A CLIPTextModelWithProjection state_dict load error is not the same as a Flux Dreambooth matmul shape error." + }, + { + "left": "issue:2775", + "right": "issue:6239", + "accept": false, + "reason": "torch._dynamo.optimize misuse and torch FX support for VAE sampling are different compiler-related issues." + }, + { + "left": "issue:1005", + "right": "issue:2786", + "accept": false, + "reason": "Scheduler timestep bounds and numpy-input compatibility in Depth2Img are unrelated." + }, + { + "left": "issue:11833", + "right": "issue:12689", + "accept": false, + "reason": "set_lora_device KeyError after loading and LoRA weights not loading from checkpoints are different failure points." + }, + { + "left": "issue:6383", + "right": "issue:9810", + "accept": false, + "reason": "Multi-stage learning rate support and module_to_save() support are different feature requests." + }, + { + "left": "issue:7003", + "right": "issue:7049", + "accept": false, + "reason": "Shape mismatch in inpaint weights and too-many-values-to-unpack in IP adapter are different runtime errors." + }, + { + "left": "issue:10066", + "right": "issue:1407", + "accept": false, + "reason": "A self.attn unpacking ValueError and an ONNX pipeline feature_extractor regression are not the same bug." + }, + { + "left": "issue:3808", + "right": "issue:5455", + "accept": false, + "reason": "DeepFloyd IF stage-2 training problems and a Dreambooth+lora notebook subprocess failure are different issues." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative: it treats the cluster as mostly heterogeneous and only elevates the clearly title-aligned SDXL textual-inversion/textual-embedding pair (5327/8854). The soft-edge verdicts are generally cautious and do not overclaim duplicate status from loose topical similarity." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 151, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1100", + "issue:11448", + "issue:11839", + "issue:12009", + "issue:12195", + "issue:12574", + "issue:13386", + "issue:1572", + "issue:1976", + "issue:2321", + "issue:2554", + "issue:2645", + "issue:3182", + "issue:3296", + "issue:3346", + "issue:3803", + "issue:3978", + "issue:4073", + "issue:4217", + "issue:4389", + "issue:455", + "issue:4911", + "issue:4985", + "issue:5023", + "issue:5412", + "issue:5799", + "issue:6176", + "issue:6238", + "issue:6287", + "issue:6351", + "issue:6407", + "issue:6598", + "issue:6602", + "issue:6639", + "issue:6793", + "issue:7180", + "issue:7421", + "issue:7466", + "issue:7483", + "issue:7864", + "issue:8274", + "issue:8414", + "issue:8494", + "issue:8805", + "issue:8898", + "issue:8939", + "issue:9091", + "issue:9767" + ], + "soft_pairs": [ + "issue:2645|issue:7180", + "issue:5799|issue:8494", + "issue:11448|issue:12195", + "issue:2321|issue:3803", + "issue:4073|issue:455", + "issue:3296|issue:4911", + "issue:6598|issue:6639", + "issue:7864|issue:8274", + "issue:3978|issue:7421", + "issue:11839|issue:12009", + "issue:3346|issue:5412", + "issue:4985|issue:6238", + "issue:4389|issue:6602", + "issue:7466|issue:9091", + "issue:1572|issue:3182", + "issue:1976|issue:8939", + "issue:2554|issue:5023", + "issue:6176|issue:9767", + "issue:6287|issue:8805", + "issue:1100|issue:6351", + "issue:12574|issue:13386", + "issue:4217|issue:8898", + "issue:6407|issue:8414", + "issue:6793|issue:7483" + ], + "prepared_review_unit_hash": "c1aafdff9f702ec69d0ce15f9cc1db245725552fa98cd7693f0a13bf829c8f98", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34745, + "estimated_input_tokens": 8687, + "estimated_eval_tokens": 17630 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it contains many unrelated issues across different pipelines, models, training scripts, and error classes. The soft matches are mostly superficial keyword similarities (e.g. CUDA/MPS, loading, LoRA, resume, tokenizer). No canonical issue or PR stands out.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2645", + "right": "issue:7180", + "accept": false, + "reason": "Both are device/offload-related, but one is a CUDA-on-MPS assertion and the other is an SDXL ControlNet cpu_offload failure; different code paths and symptoms." + }, + { + "left": "issue:5799", + "right": "issue:8494", + "accept": false, + "reason": "Different APIs and failures: inpainting strength keyword vs SD3 force_hooks argument handling." + }, + { + "left": "issue:11448", + "right": "issue:12195", + "accept": false, + "reason": "One is a missing model path for stable-unclip img2img; the other is a PyTorch 2.3.1 custom_op incompatibility in AutoencoderKL." + }, + { + "left": "issue:2321", + "right": "issue:3803", + "accept": false, + "reason": "EMA weight assignment in inference is unrelated to multi-GPU LoRA sharing during training." + }, + { + "left": "issue:4073", + "right": "issue:455", + "accept": false, + "reason": "Distinct runtime errors in different components: safety checker astype misuse vs MPS index.Tensor not implemented." + }, + { + "left": "issue:3296", + "right": "issue:4911", + "accept": false, + "reason": "Both involve text encoder/loading behavior, but one is checkpoint save/load in training and the other is custom text_encoder loading from_single_file; not the same bug." + }, + { + "left": "issue:6598", + "right": "issue:6639", + "accept": false, + "reason": "Both mention output differences, but one is generic img2img parity vs A1111 and the other is SDXL LoRA loading order producing different outputs." + }, + { + "left": "issue:7864", + "right": "issue:8274", + "accept": false, + "reason": "Completely different video-generation models and features; no shared bug." + }, + { + "left": "issue:3978", + "right": "issue:7421", + "accept": false, + "reason": "MPS img2img failure is unrelated to seed non-determinism in StableDiffusionXLKDiffusionPipeline." + }, + { + "left": "issue:11839", + "right": "issue:12009", + "accept": false, + "reason": "Both are GGUF loading errors, but they target different pipelines/models (FluxKontext vs Wan2.2) and different failure modes." + }, + { + "left": "issue:3346", + "right": "issue:5412", + "accept": false, + "reason": "Same general resume_from_checkpoint theme, but different scripts (dreambooth_lora vs dreambooth_lora_sdxl) and likely separate bugs." + }, + { + "left": "issue:4985", + "right": "issue:6238", + "accept": false, + "reason": "Training OOM for InstructPix2Pix SDXL is unrelated to an SDXL VAE issue." + }, + { + "left": "issue:4389", + "right": "issue:6602", + "accept": false, + "reason": "ControlNet loading error and fuse_lora/save_pretrained reload error are different code paths and problems." + }, + { + "left": "issue:7466", + "right": "issue:9091", + "accept": false, + "reason": "Both mention torch.compile, but one is multi-ControlNet SDXL inpaint and the other is a VAE decoder on stable-diffusion-v1-5; not the same change." + }, + { + "left": "issue:1572", + "right": "issue:3182", + "accept": false, + "reason": "Different pipeline failures: stable_diffusion_mega img2img/inpainting vs lpw_stable_diffusion with model CPU offload." + }, + { + "left": "issue:1976", + "right": "issue:8939", + "accept": false, + "reason": "Both are tokenizer-loading errors, but for different models and different missing-file conditions." + }, + { + "left": "issue:2554", + "right": "issue:5023", + "accept": false, + "reason": "An accelerate version requirement issue is unrelated to a WuerstchenCombinedPipeline import error." + }, + { + "left": "issue:6176", + "right": "issue:9767", + "accept": false, + "reason": "Both mention LoRA, but one is loading LoRA weights after dreambooth training and the other is a cuDNN frontend error in Flux image-to-image inference." + }, + { + "left": "issue:6287", + "right": "issue:8805", + "accept": false, + "reason": "Unused dependencies in setup.py is unrelated to an SDXL conversion script regression." + }, + { + "left": "issue:1100", + "right": "issue:6351", + "accept": false, + "reason": "CLIPTextTransformer missing device and DDP missing disable_adapters are unrelated attribute errors in different objects." + }, + { + "left": "issue:12574", + "right": "issue:13386", + "accept": false, + "reason": "WanVideoToVideoPipeline control-argument handling and qwen_image prior-preservation tensor concatenation are separate bugs." + }, + { + "left": "issue:4217", + "right": "issue:8898", + "accept": false, + "reason": "Slow safetensors loading is unrelated to a from_pretrained subfolder path validation error." + }, + { + "left": "issue:6407", + "right": "issue:8414", + "accept": false, + "reason": "Both are new-model announcements, not the same underlying issue or change." + }, + { + "left": "issue:6793", + "right": "issue:7483", + "accept": false, + "reason": "Hydra serialization failure and LoRA-to-Diffusers SDXL conversion failure are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 152, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10671", + "issue:10705", + "issue:10782", + "issue:11436", + "issue:11651", + "issue:11922", + "issue:1543", + "issue:1925", + "issue:2554", + "issue:2645", + "issue:2947", + "issue:3811", + "issue:3910", + "issue:4257", + "issue:4450", + "issue:4488", + "issue:4675", + "issue:4840", + "issue:5502", + "issue:5504", + "issue:5529", + "issue:5617", + "issue:5886", + "issue:5956", + "issue:6008", + "issue:6333", + "issue:6336", + "issue:6382", + "issue:6911", + "issue:7146", + "issue:7168", + "issue:7311", + "issue:7441", + "issue:7848", + "issue:785", + "issue:8504", + "issue:8511", + "issue:8555", + "issue:8613", + "issue:8874", + "issue:9136", + "issue:9171", + "issue:9187", + "issue:9488", + "issue:9500", + "issue:9726", + "issue:9914" + ], + "soft_pairs": [ + "issue:10705|issue:11436", + "issue:5886|issue:7168", + "issue:6333|issue:9914", + "issue:11651|issue:11922", + "issue:9500|issue:9726", + "issue:6911|issue:7441", + "issue:8504|issue:8555", + "issue:5529|issue:7311", + "issue:5956|issue:7146", + "issue:6336|issue:6382", + "issue:3910|issue:4488", + "issue:8874|issue:9171", + "issue:1925|issue:5504", + "issue:4840|issue:7848", + "issue:2554|issue:785", + "issue:10782|issue:9488", + "issue:2947|issue:3811", + "issue:4257|issue:4675", + "issue:4450|issue:8511", + "issue:6008|issue:9187", + "issue:6382|issue:9136", + "issue:1543|issue:5502", + "issue:2645|issue:5617", + "issue:10671|issue:8613" + ], + "prepared_review_unit_hash": "b99e6971f1a0c334e66c8f6b6317be9ac12457e432cab22222daffcbf20ec394", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33426, + "estimated_input_tokens": 8357, + "estimated_eval_tokens": 16970 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous: the soft pairs share broad subsystems (LoRA, IP-Adapter, Flux, SDXL, training scripts) but usually describe different bugs or features. The only likely duplicate-style match is the SDXL reference-only request pair.", + "confidence": 0.57, + "canonical_issue_reason": "Issue 4257 is the broadest and most central open request in the only near-duplicate pair: SDXL reference-only support (plus outpainting). Issue 4675 reads like a narrower version focused on ControlNet reference-only.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4257 is the best representative issue because it is open, broader in scope, and subsumes the more specific reference-only SDXL request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10705", + "right": "issue:11436", + "accept": false, + "reason": "Different symptoms and code paths: FluxPipeline reuse slowdown vs Hidream dtype mismatch." + }, + { + "left": "issue:5886", + "right": "issue:7168", + "accept": false, + "reason": "Both mention IP-Adapter, but one is face model support and the other is image embedding tensor shape handling." + }, + { + "left": "issue:6333", + "right": "issue:9914", + "accept": false, + "reason": "Both involve LoRA, but one is PEFT pre-trained LoRA finetuning and the other is loading a trained Flux LoRA in Xlabs." + }, + { + "left": "issue:11651", + "right": "issue:11922", + "accept": false, + "reason": "Related Flux Fill area, but one is loading flux-fill-lora with FluxControl and the other is a generic FLUX.1-Fill-dev running problem." + }, + { + "left": "issue:9500", + "right": "issue:9726", + "accept": false, + "reason": "Both are Flux dreambooth issues, but one is checkpoint saving and the other is multi-GPU training behavior." + }, + { + "left": "issue:6911", + "right": "issue:7441", + "accept": false, + "reason": "Unrelated: class labels in a 3D UNet vs pytest failing on Python 3.12." + }, + { + "left": "issue:8504", + "right": "issue:8555", + "accept": false, + "reason": "Both are SD3 text-encoder training feature requests, but they ask for different capabilities and are not the same change." + }, + { + "left": "issue:5529", + "right": "issue:7311", + "accept": false, + "reason": "Same training script family, but one is a generic bug and the other is specifically checkpoint saving." + }, + { + "left": "issue:5956", + "right": "issue:7146", + "accept": false, + "reason": "Both concern SDXL fine-tuning, but degraded quality and CUDA OOM are different problems." + }, + { + "left": "issue:6336", + "right": "issue:6382", + "accept": false, + "reason": "Different components: TensorRT VAE compilation with AutoencoderTiny vs IP-Adapter key error during LCM LoRA training/use." + }, + { + "left": "issue:3910", + "right": "issue:4488", + "accept": false, + "reason": "Different loading paths: LoRA weights failing to load vs SDXL checkpoint conversion without pipeline_class." + }, + { + "left": "issue:8874", + "right": "issue:9171", + "accept": false, + "reason": "Both are from_single_file() issues, but one is a torch weights_only unpickling failure and the other is a v_prediction regression." + }, + { + "left": "issue:1925", + "right": "issue:5504", + "accept": false, + "reason": "Both mention half precision or LoRA, but they are separate failures in different pipelines and features." + }, + { + "left": "issue:4840", + "right": "issue:7848", + "accept": false, + "reason": "Different problems: FlaxAutoencoderKL loading torch checkpoints vs an example script decoding issue." + }, + { + "left": "issue:2554", + "right": "issue:785", + "accept": false, + "reason": "No real overlap beyond general pipeline performance; accelerate version requirement and PNDM scheduler cost are unrelated." + }, + { + "left": "issue:10782", + "right": "issue:9488", + "accept": false, + "reason": "Both are Lumina-related, but one is a vague minor issue and the other is a pipeline that fails to generate at all." + }, + { + "left": "issue:2947", + "right": "issue:3811", + "accept": false, + "reason": "LoRA-related but not the same bug: missing load_attn_procs attribute vs load_lora_weights having no effect." + }, + { + "left": "issue:4257", + "right": "issue:4675", + "accept": true, + "reason": "Both are about SDXL reference-only support; 4675 looks like a narrower duplicate of the broader feature request in 4257." + }, + { + "left": "issue:4450", + "right": "issue:8511", + "accept": false, + "reason": "Different training problems: multi-text inversion not working vs SD3 training scripts not unloading text encoders." + }, + { + "left": "issue:6008", + "right": "issue:9187", + "accept": false, + "reason": "Both mention IP-Adapter and SDXL, but the failure modes and contexts differ: LCM LoRA face issue vs image_encoder_folder=None after Kolors update." + }, + { + "left": "issue:6382", + "right": "issue:9136", + "accept": false, + "reason": "Different IP-Adapter problems: a key error during training/use vs output quality varying by resolution." + }, + { + "left": "issue:1543", + "right": "issue:5502", + "accept": false, + "reason": "Separate fp16 issues in different scripts and workflows." + }, + { + "left": "issue:2645", + "right": "issue:5617", + "accept": false, + "reason": "Both involve ControlNet, but one is a macOS CUDA assertion and the other is save/load after torch.compile." + }, + { + "left": "issue:10671", + "right": "issue:8613", + "accept": false, + "reason": "Unrelated: deterministic dtype/device behavior in DiffusionPipeline vs an OOM caused by caption_column usage." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The assessment is grounded in the packet and stays conservative. The cluster is heterogeneous, and the only clearly duplicate-style pair is the SDXL reference-only pair (4257/4675), with 4257 reasonably serving as the broader canonical issue. The other soft-edge rejections are cautious and supported by the titles." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 153, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:1013", + "issue:10334", + "issue:10392", + "issue:10520", + "issue:1076", + "issue:10839", + "issue:10954", + "issue:1188", + "issue:1214", + "issue:12157", + "issue:12547", + "issue:1310", + "issue:1500", + "issue:1540", + "issue:1755", + "issue:1791", + "issue:1919", + "issue:1961", + "issue:2221", + "issue:2695", + "issue:3382", + "issue:3574", + "issue:3967", + "issue:4067", + "issue:4305", + "issue:4480", + "issue:4788", + "issue:4837", + "issue:5502", + "issue:5963", + "issue:6444", + "issue:6524", + "issue:6899", + "issue:6956", + "issue:7000", + "issue:7057", + "issue:7146", + "issue:7168", + "issue:7421", + "issue:7485", + "issue:7950", + "issue:8555", + "issue:8668", + "issue:8834", + "issue:8874", + "issue:8900", + "issue:9450" + ], + "soft_pairs": [ + "issue:6524|issue:7485", + "issue:7168|issue:9450", + "issue:1500|issue:4305", + "issue:1791|issue:4480", + "issue:10026|issue:3382", + "issue:12547|issue:7146", + "issue:2695|issue:6444", + "issue:4788|issue:6956", + "issue:10334|issue:10520", + "issue:1013|issue:3574", + "issue:1076|issue:1310", + "issue:3967|issue:7421", + "issue:4067|issue:7057", + "issue:4837|issue:6899", + "issue:5963|issue:8668", + "issue:8555|issue:8834", + "issue:10839|issue:12157", + "issue:1214|issue:5502", + "issue:8874|issue:8900", + "issue:7000|issue:7950", + "issue:1540|issue:1919", + "issue:10392|issue:10954", + "issue:1188|issue:1755", + "issue:1961|issue:2221" + ], + "prepared_review_unit_hash": "d5a6a0e631b67ed0009f4c1b1fbad4916e730ad957968909d033bc46f34dd5e7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34047, + "estimated_input_tokens": 8512, + "estimated_eval_tokens": 17280 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly heterogeneous. The only clear duplicate pair is the two exact \"colossalai error\" issues; the other soft pairs share broad themes but not the same concrete bug or change, so they should stay separate.", + "confidence": 0.84, + "canonical_issue_reason": "issue:2221 is the best canonical issue because it is the same exact report as issue:1961 and has more discussion/inbound references, making it the richer thread to keep.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2221 is the strongest representative among the issues here for the only true duplicate pair, with the fuller discussion and clearer consolidation target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6524", + "right": "issue:7485", + "accept": false, + "reason": "Different failure modes and code paths: a repeated LoRA load problem vs a safety_checker TypeError." + }, + { + "left": "issue:7168", + "right": "issue:9450", + "accept": false, + "reason": "Both mention tensor/device issues, but one is IP-Adapter embeds shape handling and the other is Flux multi-GPU device placement." + }, + { + "left": "issue:1500", + "right": "issue:4305", + "accept": false, + "reason": "Different version-compatibility problems in different contexts; one is a community pipeline API break, the other is a torch.compile graph break." + }, + { + "left": "issue:1791", + "right": "issue:4480", + "accept": false, + "reason": "Both are Mac/MPS related, but one is UnCLIP support and the other is float16 kernel crashes in StableDiffusionPipeline." + }, + { + "left": "issue:10026", + "right": "issue:3382", + "accept": false, + "reason": "Similar symptom of multi-GPU memory behavior, but different training scripts and different mechanisms; not the same concrete bug." + }, + { + "left": "issue:12547", + "right": "issue:7146", + "accept": false, + "reason": "Different Dreambooth/Flux I2I argument error vs SDXL fine-tuning OOM; no shared code-path." + }, + { + "left": "issue:2695", + "right": "issue:6444", + "accept": false, + "reason": "ControlNet validation/Tensorboard issue is unrelated to the CLIPTextModel peft_config AttributeError in Dreambooth LoRA." + }, + { + "left": "issue:4788", + "right": "issue:6956", + "accept": false, + "reason": "Both are OOM reports, but on different pipelines/platforms with different likely causes." + }, + { + "left": "issue:10334", + "right": "issue:10520", + "accept": false, + "reason": "Both concern Sana, but one is Mac/MPS grey images/NaNs and the other is a CUDA-vs-CPU device mismatch." + }, + { + "left": "issue:1013", + "right": "issue:3574", + "accept": false, + "reason": "Unrelated pipeline compatibility and Windows checkpoint conversion issues." + }, + { + "left": "issue:1076", + "right": "issue:1310", + "accept": false, + "reason": "Different topics entirely: model availability vs a K-Diffusion pipeline request." + }, + { + "left": "issue:3967", + "right": "issue:7421", + "accept": false, + "reason": "Branch deletion breakage is unrelated to seed handling in the KDiffusion XL pipeline." + }, + { + "left": "issue:4067", + "right": "issue:7057", + "accept": false, + "reason": "Lora scale inconsistency with prompt embeddings is unrelated to a checkpoint load failure." + }, + { + "left": "issue:4837", + "right": "issue:6899", + "accept": false, + "reason": "Same script family, but the reports are not clearly the same bug; one is an SDXL conversion failure, the other is a generic converter bug report." + }, + { + "left": "issue:5963", + "right": "issue:8668", + "accept": false, + "reason": "Different model/input invariants: Kandinsky embeds-vs-prompts vs SD3 image alignment requirements." + }, + { + "left": "issue:8555", + "right": "issue:8834", + "accept": false, + "reason": "A feature request for FP8/text encoder training is not the same as asking for SD3 ControlNet training code release." + }, + { + "left": "issue:10839", + "right": "issue:12157", + "accept": false, + "reason": "Different training failures and different models; no shared concrete bug." + }, + { + "left": "issue:1214", + "right": "issue:5502", + "accept": false, + "reason": "Both involve fp16, but one is a CLIPTextModel precision bug and the other is lack of fp16 support in a training script." + }, + { + "left": "issue:8874", + "right": "issue:8900", + "accept": false, + "reason": "Both are from_single_file loading questions, but they concern different formats/models and distinct failures." + }, + { + "left": "issue:7000", + "right": "issue:7950", + "accept": false, + "reason": "PyTorch compatibility in general, but one is a deprecation warning and the other is an incompatibility issue." + }, + { + "left": "issue:1540", + "right": "issue:1919", + "accept": false, + "reason": "Different Dreambooth setup problems: missing MODEL_TYPE vs missing datasets dependency." + }, + { + "left": "issue:10392", + "right": "issue:10954", + "accept": false, + "reason": "Both mention Flux LoRA, but one is an fp8 training setup and the other is a model-load failure in ComfyUI." + }, + { + "left": "issue:1188", + "right": "issue:1755", + "accept": false, + "reason": "Completely unrelated: a pipeline feature request vs an Arabic general-relations issue." + }, + { + "left": "issue:1961", + "right": "issue:2221", + "accept": true, + "reason": "Exact duplicate titles and same underlying ColossalAI error; 2221 is the richer thread, so it should absorb 1961." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The packet supports the key conclusion: the only clearly duplicative pair is issue:1961 and issue:2221, which share the same title and are plausibly the same report, with 2221 the richer thread. The other pairwise rejections are conservative and grounded in the issue titles/metadata rather than overstated evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 154, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1062", + "issue:13300", + "issue:2420", + "issue:2991", + "issue:3595", + "issue:3748", + "issue:378", + "issue:3811", + "issue:3958", + "issue:4030", + "issue:4080", + "issue:4086", + "issue:4186", + "issue:4236", + "issue:435", + "issue:4584", + "issue:4911", + "issue:5014", + "issue:556", + "issue:5593", + "issue:5606", + "issue:5678", + "issue:5873", + "issue:5890", + "issue:5963", + "issue:5972", + "issue:6351", + "issue:6382", + "issue:6790", + "issue:6794", + "issue:6832", + "issue:6865", + "issue:6928", + "issue:7082", + "issue:7286", + "issue:7322", + "issue:7492", + "issue:7801", + "issue:7962", + "issue:8604", + "issue:8626", + "issue:8880", + "issue:8975", + "issue:9178", + "issue:9393", + "issue:9420", + "issue:9515" + ], + "soft_pairs": [ + "issue:2991|issue:6790", + "issue:3811|issue:5606", + "issue:4080|issue:556", + "issue:7801|issue:9393", + "issue:5593|issue:5963", + "issue:4030|issue:4186", + "issue:6928|issue:7962", + "issue:9178|issue:9420", + "issue:4584|issue:7322", + "issue:6351|issue:6382", + "issue:3748|issue:3958", + "issue:7082|issue:8975", + "issue:2420|issue:5678", + "issue:5873|issue:9515", + "issue:6832|issue:8626", + "issue:3595|issue:4086", + "issue:5890|issue:8880", + "issue:4086|issue:5972", + "issue:1062|issue:5014", + "issue:4911|issue:7286", + "issue:4236|issue:8604", + "issue:7492|issue:7801", + "issue:6794|issue:6865", + "issue:13300|issue:5963", + "issue:378|issue:435" + ], + "prepared_review_unit_hash": "b5ab083ed3d71c95189edba768bd21604bfb7a91a68b1c86aef74cf11f92f04c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34371, + "estimated_input_tokens": 8593, + "estimated_eval_tokens": 17442 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a duplicate cluster; the issues span unrelated diffusers features (LoRA, ControlNet, SDXL, imports, docs, and training/runtime errors). I found no soft pair that clearly describes the same underlying bug or change, so all candidate edges should be rejected.", + "confidence": 0.29, + "canonical_issue_reason": "issue:3811 is the most representative concrete regression here: LoRA weights load but have no effect on generation, which is a clear user-facing code-path bug with broad relevance.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3811 is the best global issue candidate because it is specific, reproducible, and broadly impactful compared with the more specialized or documentation-oriented reports in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2991", + "right": "issue:6790", + "accept": false, + "reason": "Different problems: mixed-precision failure in the ControlNet example vs a state_dict key mismatch in LCM training." + }, + { + "left": "issue:3811", + "right": "issue:5606", + "accept": false, + "reason": "Both involve LoRA loading, but one is about no effect on generation and the other about missing alpha handling; not the same bug." + }, + { + "left": "issue:4080", + "right": "issue:556", + "accept": false, + "reason": "Add inpainting for SDXL is a feature request, while seamless texture tiling is a separate output-mode request." + }, + { + "left": "issue:7801", + "right": "issue:9393", + "accept": false, + "reason": "Generic fp16/mixed-precision mismatch is unrelated to a deepspeed save-model failure in FLUX dreambooth LoRA training." + }, + { + "left": "issue:5593", + "right": "issue:5963", + "accept": false, + "reason": "AutoPipeline ControlNet conversion failure and Kandinsky embed-vs-prompt handling are distinct pipeline bugs." + }, + { + "left": "issue:4030", + "right": "issue:4186", + "accept": false, + "reason": "Stable Diffusion v2.1 embedding runtime error and SDXL inpaint/refiner failure affect different models and code paths." + }, + { + "left": "issue:6928", + "right": "issue:7962", + "accept": false, + "reason": "Depthmap colorization UI behavior is unrelated to adding cross_attention_kwargs to InstructPix2Pix." + }, + { + "left": "issue:9178", + "right": "issue:9420", + "accept": false, + "reason": "Flux LoRA PEFT target-module training error is separate from a saved transformer that later cannot be loaded." + }, + { + "left": "issue:4584", + "right": "issue:7322", + "accept": false, + "reason": "Resume-from-checkpoint training error and SIGKILL during dreambooth LoRA training are not the same failure." + }, + { + "left": "issue:6351", + "right": "issue:6382", + "accept": false, + "reason": "Missing disable_adapters on DDP and an IP-Adapter key error after training are different symptoms and fixes." + }, + { + "left": "issue:3748", + "right": "issue:3958", + "accept": false, + "reason": "Float16/float32 mismatch when loading a CivitAI LoRA is distinct from CPU offload behavior with civitai-format LoRA." + }, + { + "left": "issue:7082", + "right": "issue:8975", + "accept": false, + "reason": "Both are import errors, but they concern different symbols and likely different packaging/API breakages." + }, + { + "left": "issue:2420", + "right": "issue:5678", + "accept": false, + "reason": "xFormers memory-efficient attention training issue is not the same as higher-order-derivative failures with scaled_dot_product_attention." + }, + { + "left": "issue:5873", + "right": "issue:9515", + "accept": false, + "reason": "ONNX export support for scaled_dot_product_attention is unrelated to missing RMSNorm in JointAttnProcessor2_0." + }, + { + "left": "issue:6832", + "right": "issue:8626", + "accept": false, + "reason": "An AttributeError on tuple.shape in IP-Adapter Face ID is distinct from guidance/documentation for multiple IP adapter images and masks." + }, + { + "left": "issue:3595", + "right": "issue:4086", + "accept": false, + "reason": "from_ckpt loading failure and SDXL ControlNet training not working are different workflows and failure modes." + }, + { + "left": "issue:5890", + "right": "issue:8880", + "accept": false, + "reason": "Tokenizer length warning in a training script is unrelated to the inference speed regression across versions." + }, + { + "left": "issue:4086", + "right": "issue:5972", + "accept": false, + "reason": "A training bug in SDXL ControlNet is not the same as a documentation note about Min-SNR weighting." + }, + { + "left": "issue:1062", + "right": "issue:5014", + "accept": false, + "reason": "Dreambooth paper-result reproducibility complaints and LoRA training results not matching expectations are related only broadly, not the same bug." + }, + { + "left": "issue:4911", + "right": "issue:7286", + "accept": false, + "reason": "Loading a custom text encoder from_single_file and custom diffusion cross-attention weight loading are separate loading paths." + }, + { + "left": "issue:4236", + "right": "issue:8604", + "accept": false, + "reason": "SDXL refiner text-encoder registration and T5 float16 corruption are different model/component issues." + }, + { + "left": "issue:7492", + "right": "issue:7801", + "accept": false, + "reason": "A missing Hugging Face repository error is unrelated to mixed_precision not producing an fp16 model." + }, + { + "left": "issue:6794", + "right": "issue:6865", + "accept": false, + "reason": "An import error for cast_training_params and a missing Image-instance check in load_image are unrelated." + }, + { + "left": "issue:13300", + "right": "issue:5963", + "accept": false, + "reason": "CPU generation failures for SD3.5/FLUX and embeds-vs-prompts handling in Kandinsky are different bugs." + }, + { + "left": "issue:378", + "right": "issue:435", + "accept": false, + "reason": "These are both early training notebook bugs, but one is about DiagonalGaussianDistribution and the other about AutoencoderKLOutput.sample; not the same defect." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 155, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10025", + "issue:10066", + "issue:10311", + "issue:1197", + "issue:12609", + "issue:13258", + "issue:1985", + "issue:2324", + "issue:2599", + "issue:4037", + "issue:4086", + "issue:4236", + "issue:4337", + "issue:4405", + "issue:4933", + "issue:4964", + "issue:5227", + "issue:5433", + "issue:5594", + "issue:5737", + "issue:5932", + "issue:5953", + "issue:5956", + "issue:5966", + "issue:5967", + "issue:6093", + "issue:6258", + "issue:6382", + "issue:6388", + "issue:6441", + "issue:6536", + "issue:6790", + "issue:6794", + "issue:7057", + "issue:7420", + "issue:7466", + "issue:7483", + "issue:7882", + "issue:7985", + "issue:8547", + "issue:8555", + "issue:8645", + "issue:8668", + "issue:8673", + "issue:8879", + "issue:8887", + "issue:8906", + "issue:9101" + ], + "soft_pairs": [ + "issue:5953|issue:8668", + "issue:4337|issue:7985", + "issue:12609|issue:13258", + "issue:5433|issue:5737", + "issue:4964|issue:7483", + "issue:6382|issue:6790", + "issue:10066|issue:5932", + "issue:10025|issue:8673", + "issue:10311|issue:6794", + "issue:1197|issue:1985", + "issue:2324|issue:2599", + "issue:4037|issue:4086", + "issue:4405|issue:8887", + "issue:5227|issue:7466", + "issue:5594|issue:6388", + "issue:5966|issue:7882", + "issue:5967|issue:6258", + "issue:6093|issue:8547", + "issue:6441|issue:7057", + "issue:7420|issue:8879", + "issue:8555|issue:9101", + "issue:8645|issue:8906", + "issue:4236|issue:4933", + "issue:5956|issue:6536" + ], + "prepared_review_unit_hash": "8f315bf8adcfd2ec72d4072a717ef86805f8930370b0a57794a1ea2d4788904d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33815, + "estimated_input_tokens": 8454, + "estimated_eval_tokens": 17164 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose topical grouping of unrelated training, conversion, compile, and pipeline bugs. The only meaningful overlap is a small attention-mask/theme cluster (Flux/SD3), but the pairs are still not concrete duplicates, so I would not merge any soft edge.", + "confidence": 0.31, + "canonical_issue_reason": "issue:8673 is the clearest representative of the only real shared theme in the cluster: missing attention masking around text padding in SD3. It is specific, actionable, and closely related to the Flux attention-mask request.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8673 is the best single issue to anchor this cluster because it is concrete and central to the attention-mask subset, unlike the many unrelated compile/training/conversion reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5953", + "right": "issue:8668", + "accept": false, + "reason": "Both involve image-size/shape-related failures, but they affect different pipelines and different constraints; not the same concrete bug." + }, + { + "left": "issue:4337", + "right": "issue:7985", + "accept": false, + "reason": "Both mention torch.compile, but one is Community ControlNetReference and the other is IPAdapter; different code paths and failure modes." + }, + { + "left": "issue:12609", + "right": "issue:13258", + "accept": false, + "reason": "Unrelated Wan 2.2 latent NaNs vs missing image-to-video support; no shared bug." + }, + { + "left": "issue:5433", + "right": "issue:5737", + "accept": false, + "reason": "SDXL artifacts with DPM++ schedulers is unrelated to SDXL conversion script failure." + }, + { + "left": "issue:4964", + "right": "issue:7483", + "accept": false, + "reason": "Both are conversion-related, but they target different scripts and different model-conversion paths; not a duplicate bug." + }, + { + "left": "issue:6382", + "right": "issue:6790", + "accept": false, + "reason": "Both involve LCM/SDXL state_dict issues, but one is an IP-Adapter usage error after training and the other is a training-script key mismatch." + }, + { + "left": "issue:10066", + "right": "issue:5932", + "accept": false, + "reason": "Different runtime errors in different contexts; one is an unpacking error, the other is a channel mismatch." + }, + { + "left": "issue:10025", + "right": "issue:8673", + "accept": false, + "reason": "Both are about attention masks, but Flux vs SD3 are different models and the missing-mask contexts are not the same bug." + }, + { + "left": "issue:10311", + "right": "issue:6794", + "accept": false, + "reason": "Both are import errors, but they concern different symbols and different scripts." + }, + { + "left": "issue:1197", + "right": "issue:1985", + "accept": false, + "reason": "OpenAI Diffusion Pipeline request is unrelated to loading embeddings in Stable Diffusion Pipeline." + }, + { + "left": "issue:2324", + "right": "issue:2599", + "accept": false, + "reason": "Both are Dreambooth issues, but one is missing instance data ingestion and the other is multi-subject quality degradation." + }, + { + "left": "issue:4037", + "right": "issue:4086", + "accept": false, + "reason": "Both are ControlNet training problems, but FSDP validation errors and SDXL training not working are different issues." + }, + { + "left": "issue:4405", + "right": "issue:8887", + "accept": false, + "reason": "Different features/models: SDXL textual inversion script request vs SD3 VAE encode bug." + }, + { + "left": "issue:5227", + "right": "issue:7466", + "accept": false, + "reason": "Both touch torch.compile, but one is LoRA weight loading and the other is multi-ControlNet SDXL inpaint compilation; not the same defect." + }, + { + "left": "issue:5594", + "right": "issue:6388", + "accept": false, + "reason": "Related to SDXL+LoRA training, but memory-saving request vs gradient-checkpointing being ignored are different problems." + }, + { + "left": "issue:5966", + "right": "issue:7882", + "accept": false, + "reason": "Different functionality: ControlNet support for SD 2.1 vs missing from_single_file on T2I Adapter pipeline." + }, + { + "left": "issue:5967", + "right": "issue:6258", + "accept": false, + "reason": "Announcement post vs a Stable Video Diffusion quality regression; no duplicate relationship." + }, + { + "left": "issue:6093", + "right": "issue:8547", + "accept": false, + "reason": "Unrelated topics: push_to_hub repo creation in an SDXL LoRA script vs an LCM scaling bug." + }, + { + "left": "issue:6441", + "right": "issue:7057", + "accept": false, + "reason": "Generic from_pretrained/Colab issue is unrelated to a checkpoint loading problem for a specific model." + }, + { + "left": "issue:7420", + "right": "issue:8879", + "accept": false, + "reason": "Both involve torch.compile, but one is generic inability to use it and the other is a StableDiffusionXL cudagraph-specific failure." + }, + { + "left": "issue:8555", + "right": "issue:9101", + "accept": false, + "reason": "Different SD3 feature requests: FP8/text-encoder training vs an InstructPix2Pix training script." + }, + { + "left": "issue:8645", + "right": "issue:8906", + "accept": false, + "reason": "Both are missing-symbol reports, but they refer to different APIs/classes and different code areas." + }, + { + "left": "issue:4236", + "right": "issue:4933", + "accept": false, + "reason": "Both are SDXL-related, but one is a refiner text-encoder registration issue and the other is missing saved weights after Dreambooth training." + }, + { + "left": "issue:5956", + "right": "issue:6536", + "accept": false, + "reason": "Both concern training, but one is SD-XL LoRA performance degradation and the other is UNet3DConditionModel out-of-memory." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 156, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10017", + "issue:10030", + "issue:10180", + "issue:10381", + "issue:10839", + "issue:1896", + "issue:2218", + "issue:2272", + "issue:2312", + "issue:2891", + "issue:3235", + "issue:3348", + "issue:3420", + "issue:3432", + "issue:3481", + "issue:3494", + "issue:3651", + "issue:4306", + "issue:4446", + "issue:4619", + "issue:4631", + "issue:4634", + "issue:490", + "issue:5399", + "issue:5433", + "issue:5510", + "issue:5546", + "issue:5846", + "issue:6164", + "issue:6224", + "issue:6540", + "issue:6996", + "issue:720", + "issue:7538", + "issue:7629", + "issue:7960", + "issue:7972", + "issue:8514", + "issue:8578", + "issue:8644", + "issue:8874", + "issue:8915", + "issue:9096", + "issue:9108", + "issue:9309", + "issue:9410", + "issue:9732" + ], + "soft_pairs": [ + "issue:7629|issue:9309", + "issue:10017|issue:7538", + "issue:2272|issue:3420", + "issue:10839|issue:9732", + "issue:3481|issue:3494", + "issue:2218|issue:3348", + "issue:8915|issue:9410", + "issue:2891|issue:490", + "issue:2312|issue:4306", + "issue:8578|issue:8644", + "issue:10180|issue:9108", + "issue:4631|issue:720", + "issue:4619|issue:7972", + "issue:10381|issue:9096", + "issue:3235|issue:4634", + "issue:6164|issue:6996", + "issue:6224|issue:8514", + "issue:5433|issue:5546", + "issue:5399|issue:6540", + "issue:1896|issue:5510", + "issue:4446|issue:8874", + "issue:3432|issue:5846", + "issue:3651|issue:7960", + "issue:10030|issue:6996" + ], + "prepared_review_unit_hash": "e89508a4412e21b823b328e3aae3f8596f09c254b587af14d62733afec9f137b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33807, + "estimated_input_tokens": 8452, + "estimated_eval_tokens": 17160 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous set of unrelated issues; only one soft duplicate pair looks plausibly the same ControlNet added_cond_kwargs bug. No PRs are present.", + "confidence": 0.77, + "canonical_issue_reason": "issue:10030 is the clearest concrete bug report in the only plausible duplicate pair: it names the ControlNet img2img null added_cond_kwargs path that issue:6996 surfaces as a NoneType traceback.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10030 is the best issue anchor overall because it is specific, actionable, and most clearly captures the underlying ControlNet kwargs bug; the rest of the set are mostly distinct issues across different pipelines/training paths.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7629", + "right": "issue:9309", + "accept": false, + "reason": "Both involve Flux, but one is a PyTorch 1.13 OOM report and the other is a FluxControlNetPipeline bug; different failure modes and code paths." + }, + { + "left": "issue:10017", + "right": "issue:7538", + "accept": false, + "reason": "Both mention dataset loading/training, but they are about different dataset/setup problems with no clear shared bug." + }, + { + "left": "issue:2272", + "right": "issue:3420", + "accept": false, + "reason": "Checkpoint-to-ONNX conversion failure and a ControlNet inpaint pipeline incompatibility are unrelated." + }, + { + "left": "issue:10839", + "right": "issue:9732", + "accept": false, + "reason": "Both are Flux training reports, but one is a last-step LoRA training error and the other is an OOM during a guide workflow; not the same bug." + }, + { + "left": "issue:3481", + "right": "issue:3494", + "accept": false, + "reason": "One is about deterministic step differences affecting outputs, the other about corrupted images across schedulers; not the same issue." + }, + { + "left": "issue:2218", + "right": "issue:3348", + "accept": false, + "reason": "Overtrained models during training and xformers LoRA scale support are different concerns." + }, + { + "left": "issue:8915", + "right": "issue:9410", + "accept": false, + "reason": "Different missing import symbols for different pipelines; same namespace area, but not the same concrete defect." + }, + { + "left": "issue:2891", + "right": "issue:490", + "accept": false, + "reason": "Docs/support mismatch for embeddings in one pipeline versus a general memory problem; unrelated bugs." + }, + { + "left": "issue:2312", + "right": "issue:4306", + "accept": false, + "reason": "EMA save-hook failure and a reference pipeline index error are separate code paths." + }, + { + "left": "issue:8578", + "right": "issue:8644", + "accept": false, + "reason": "Both mention meta tensors, but they affect different pipelines and loading/offload flows." + }, + { + "left": "issue:10180", + "right": "issue:9108", + "accept": false, + "reason": "One is about loading multiple LoRAs with Flux Control LoRA, the other about resuming training with a quantized base model; different failure modes." + }, + { + "left": "issue:4631", + "right": "issue:720", + "accept": false, + "reason": "Both are tensor/scalar type-related runtime errors, but they occur in different schedulers and execution contexts." + }, + { + "left": "issue:4619", + "right": "issue:7972", + "accept": false, + "reason": "Different type-mismatch reports in different training/inference paths; no evidence they are the same bug." + }, + { + "left": "issue:10381", + "right": "issue:9096", + "accept": false, + "reason": "Both involve Flux inference problems, but one is a quantization+LoRA/Quanto issue and the other is NaNs with torch.half; not the same root cause." + }, + { + "left": "issue:3235", + "right": "issue:4634", + "accept": false, + "reason": "Custom Diffusion loading with biases and Custom Diffusion safe serialization are related area-wise but distinct defects." + }, + { + "left": "issue:6164", + "right": "issue:6996", + "accept": false, + "reason": "Different Stable Diffusion pipeline bugs: latent output handling versus a NoneType added_cond_kwargs traceback." + }, + { + "left": "issue:6224", + "right": "issue:8514", + "accept": false, + "reason": "TorchDynamo fine-tuning issue and EMAModel parallel fine-tuning error are separate training failures." + }, + { + "left": "issue:5433", + "right": "issue:5546", + "accept": false, + "reason": "Both concern schedulers, but one is visual artifacts and the other is incorrect step counts in an ensemble setup; not the same change." + }, + { + "left": "issue:5399", + "right": "issue:6540", + "accept": false, + "reason": "A dtype mismatch in custom inpainting inference and an FSDP mat2 matrix error during ControlNet finetuning are unrelated." + }, + { + "left": "issue:1896", + "right": "issue:5510", + "accept": false, + "reason": "Similar half/float wording, but they affect different pipelines and likely different underlying tensor handling bugs." + }, + { + "left": "issue:4446", + "right": "issue:8874", + "accept": false, + "reason": "Custom text_encoder loading from single-file checkpoint and CKPT unpickling/weights-only failure are distinct loading problems." + }, + { + "left": "issue:3432", + "right": "issue:5846", + "accept": false, + "reason": "CPU half-convolution runtime error versus checkpoint resume failure; no shared root cause." + }, + { + "left": "issue:3651", + "right": "issue:7960", + "accept": false, + "reason": "Both are multi-GPU training issues, but for different training setups and failure descriptions; too broad to merge." + }, + { + "left": "issue:10030", + "right": "issue:6996", + "accept": true, + "reason": "Both point to the same ControlNet added_cond_kwargs=None problem: 10030 describes the pipeline not supplying it, and 6996 shows the resulting NoneType error." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative: the only accepted soft pair, issue:10030 vs issue:6996, is supported by the titles and is plausibly the same ControlNet added_cond_kwargs bug. The other soft-edge rejections are appropriately cautious and do not overstate evidence. No PR mergeability concerns apply because no PRs are present." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 157, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10795", + "issue:10937", + "issue:11232", + "issue:11285", + "issue:11370", + "issue:1166", + "issue:12547", + "issue:1377", + "issue:1704", + "issue:2225", + "issue:2414", + "issue:2420", + "issue:3064", + "issue:3826", + "issue:4389", + "issue:4448", + "issue:4460", + "issue:4480", + "issue:455", + "issue:4688", + "issue:4954", + "issue:4993", + "issue:5012", + "issue:5128", + "issue:5152", + "issue:528", + "issue:5337", + "issue:5442", + "issue:5617", + "issue:5821", + "issue:5845", + "issue:6363", + "issue:6726", + "issue:6894", + "issue:7168", + "issue:7420", + "issue:7480", + "issue:7722", + "issue:7848", + "issue:8493", + "issue:8624", + "issue:867", + "issue:8738", + "issue:9187", + "issue:9516", + "issue:9660", + "issue:993" + ], + "soft_pairs": [ + "issue:1166|issue:4954", + "issue:2420|issue:6363", + "issue:3064|issue:5128", + "issue:5845|issue:9516", + "issue:6894|issue:7848", + "issue:7168|issue:7480", + "issue:1704|issue:528", + "issue:4993|issue:5152", + "issue:5128|issue:7722", + "issue:11370|issue:9187", + "issue:4480|issue:455", + "issue:3826|issue:5442", + "issue:10795|issue:10937", + "issue:11232|issue:12547", + "issue:4688|issue:6726", + "issue:1377|issue:2414", + "issue:2225|issue:5337", + "issue:11285|issue:8624", + "issue:5617|issue:7420", + "issue:5012|issue:5821", + "issue:867|issue:993", + "issue:8738|issue:9660", + "issue:4448|issue:4460", + "issue:4389|issue:8493" + ], + "prepared_review_unit_hash": "82ccb96f59eac1ab5c4fbc7471a8bb81026d3d65679e82a3f7a2f387db12b7e1", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33452, + "estimated_input_tokens": 8363, + "estimated_eval_tokens": 16982 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated issues that only share broad themes like torch.compile, loading, or training. I did not find any pair that clearly describes the same underlying bug/change, so all soft edges are rejected.", + "confidence": 0.9, + "canonical_issue_reason": "Issue #10795 is the most specific, concrete, and technically actionable report in the set: it names the exact failing path (torch.compile + from_single_file + GGUF transformer models) and reads like a well-scoped bug rather than a broad symptom.", + "canonical_pr_reason": null, + "best_issue_reason": "#10795 is the strongest standalone issue candidate because it has a precise reproduction surface and a clearly identifiable code path, making it the best representative if one issue must be chosen.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1166", + "right": "issue:4954", + "accept": false, + "reason": "Both involve textual inversion, but one is a save hang on TPU and the other is an _pickle.UnpicklingError when loading; different failure modes and likely different causes." + }, + { + "left": "issue:2420", + "right": "issue:6363", + "accept": false, + "reason": "Both are training-script errors, but one is an xFormers attention problem in LoRA training and the other is an FP16 gradient scaling error; not the same bug." + }, + { + "left": "issue:3064", + "right": "issue:5128", + "accept": false, + "reason": "Both mention .safetensors loading, but #3064 is about LoRA loading generally while #5128 is a specific XLPipeline.from_single_file local-file failure; too different to merge." + }, + { + "left": "issue:5845", + "right": "issue:9516", + "accept": false, + "reason": "DreamBooth/Pixart training failing is unrelated to FLUX not forwarding joint_attention_kwargs; different model family and different code path." + }, + { + "left": "issue:6894", + "right": "issue:7848", + "accept": false, + "reason": "Both are quality/behavior complaints in XL-related examples, but one is a LoRA compatibility issue and the other is a decoding problem in a community script; not the same underlying defect." + }, + { + "left": "issue:7168", + "right": "issue:7480", + "accept": false, + "reason": "IP-Adapter tensor-shape confusion and a DeepFloyd_IF OOM are unrelated symptoms with no shared root cause." + }, + { + "left": "issue:1704", + "right": "issue:528", + "accept": false, + "reason": "One is a generic attention-block question and the other is about flax model output classes; not a duplicate bug report." + }, + { + "left": "issue:4993", + "right": "issue:5152", + "accept": false, + "reason": "Import-structure exposure for CLIPImageProjection is unrelated to a W\u00fcrstchen alpha bug; no shared concrete failure." + }, + { + "left": "issue:5128", + "right": "issue:7722", + "accept": false, + "reason": "Both mention pipelines and loading, but one is a local safetensors load error and the other is an Animatediff ControlNet/IP-Adapter usage problem; different issues." + }, + { + "left": "issue:11370", + "right": "issue:9187", + "accept": false, + "reason": "A broken Hunyuan video converter and an SDXL IP-Adapter regression after Kolors update do not appear to share the same code path or bug." + }, + { + "left": "issue:4480", + "right": "issue:455", + "accept": false, + "reason": "Both are MPS-related failures, but one is a kernel crash with float16 generation and the other is a specific aten::index.Tensor NotImplementedError; too broad to treat as one bug." + }, + { + "left": "issue:3826", + "right": "issue:5442", + "accept": false, + "reason": "These are entirely different pipeline requests/features (Audio-Journey vs ScaleCrafter)." + }, + { + "left": "issue:10795", + "right": "issue:10937", + "accept": false, + "reason": "Both mention torch.compile, but one is about GGUF models loaded via from_single_file and the other is a VAE encode failure; different code paths and not mergeable as one fix." + }, + { + "left": "issue:11232", + "right": "issue:12547", + "accept": false, + "reason": "Fine-tuning noise residuals and a missing --instance_prompt argument are unrelated training problems." + }, + { + "left": "issue:4688", + "right": "issue:6726", + "accept": false, + "reason": "Different research/pipeline topics with no shared bug signature." + }, + { + "left": "issue:1377", + "right": "issue:2414", + "accept": false, + "reason": "One is a missing Transformers symbol/import-structure issue; the other is a NameError because transformers was never defined. Different root causes." + }, + { + "left": "issue:2225", + "right": "issue:5337", + "accept": false, + "reason": "A safety checker usage question and a callback explanation question are unrelated documentation/support topics, not duplicates." + }, + { + "left": "issue:11285", + "right": "issue:8624", + "accept": false, + "reason": "Conversion/value errors for stable diffusion are unrelated to an undefined CUDA symbol in SD3." + }, + { + "left": "issue:5617", + "right": "issue:7420", + "accept": false, + "reason": "Both involve torch.compile, but #5617 is specifically about saving/loading a compiled ControlNet pipeline while #7420 is a general inability to use torch.compile; not the same concrete bug." + }, + { + "left": "issue:5012", + "right": "issue:5821", + "accept": false, + "reason": "A LoRA text-encoder training issue and a CUDA backward failure are not the same problem." + }, + { + "left": "issue:867", + "right": "issue:993", + "accept": false, + "reason": "GPU memory not being released and an fp16 data-type mismatch are different bugs." + }, + { + "left": "issue:8738", + "right": "issue:9660", + "accept": false, + "reason": "An SD3Transformer2DModel configuration problem is unrelated to from_pretrained not switching modules to eval mode." + }, + { + "left": "issue:4448", + "right": "issue:4460", + "accept": false, + "reason": "Both describe output differences, but one is outpainting quality vs A1111 and the other is a broader stable-diffusion-vs-diffusers difference report; too vague and not the same concrete change." + }, + { + "left": "issue:4389", + "right": "issue:8493", + "accept": false, + "reason": "Both are model-loading errors, but ControlNetModel loading and SD3Transformer2DModel state_dict loading are different models and likely different fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 158, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10194", + "issue:10972", + "issue:11062", + "issue:11145", + "issue:12299", + "issue:12348", + "issue:1398", + "issue:1922", + "issue:2156", + "issue:2264", + "issue:2331", + "issue:2371", + "issue:2465", + "issue:2480", + "issue:3101", + "issue:3174", + "issue:3826", + "issue:3975", + "issue:4206", + "issue:4306", + "issue:4353", + "issue:4375", + "issue:4566", + "issue:4731", + "issue:4852", + "issue:5028", + "issue:5576", + "issue:5661", + "issue:5799", + "issue:6092", + "issue:6093", + "issue:6258", + "issue:6372", + "issue:7296", + "issue:7311", + "issue:7350", + "issue:7629", + "issue:7716", + "issue:7871", + "issue:7936", + "issue:867", + "issue:8900", + "issue:9044", + "issue:9204", + "issue:9501", + "issue:9613", + "issue:9902" + ], + "soft_pairs": [ + "issue:2156|issue:2480", + "issue:3826|issue:5576", + "issue:7311|issue:9501", + "issue:7871|issue:8900", + "issue:1398|issue:867", + "issue:3975|issue:7871", + "issue:7296|issue:9902", + "issue:3101|issue:4206", + "issue:2371|issue:2465", + "issue:4566|issue:7350", + "issue:12299|issue:12348", + "issue:5028|issue:5799", + "issue:10194|issue:11145", + "issue:2264|issue:4306", + "issue:10972|issue:11062", + "issue:2331|issue:6372", + "issue:6093|issue:9204", + "issue:4353|issue:6258", + "issue:6092|issue:9044", + "issue:3174|issue:4852", + "issue:7716|issue:7936", + "issue:7629|issue:9613", + "issue:4375|issue:4731", + "issue:1922|issue:5661" + ], + "prepared_review_unit_hash": "26891e2428f0764490ab0b00b50badcd800b038849d286fdf27aea7fec19eca0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33175, + "estimated_input_tokens": 8294, + "estimated_eval_tokens": 16844 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is thematically related around diffusion/Flux/LoRA/training features, but the issues point to different pipelines, different failure modes, and several feature requests. I do not see any soft pair that is the same underlying bug/change.", + "confidence": 0.38, + "canonical_issue_reason": "issue:9204 is the broadest umbrella item in the set: it targets FLUX.1 DreamBooth training support and best matches the cluster\u2019s shared Flux/training theme, even though many other items are separate bugs or narrower asks.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9204 is the most representative anchor for the cluster because it is the most general Flux/DreamBooth training issue and has substantial discussion activity.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2156", + "right": "issue:2480", + "accept": false, + "reason": "Different bugs: CPU-only training vs missing per-checkpoint UNet folder output." + }, + { + "left": "issue:3826", + "right": "issue:5576", + "accept": false, + "reason": "One is a new pipeline request; the other is a new scheduler request. Related domain, not the same change." + }, + { + "left": "issue:7311", + "right": "issue:9501", + "accept": false, + "reason": "Both involve Flux training/checkpointing, but one is a save-at-checkpoint failure and the other is delayed model saving; not the same concrete bug." + }, + { + "left": "issue:7871", + "right": "issue:8900", + "accept": false, + "reason": "Different code paths: blockwise scales with a specific LoRA vs loading an SDXL refiner from_single_file." + }, + { + "left": "issue:1398", + "right": "issue:867", + "accept": false, + "reason": "Apple Silicon/MPS SD2 issue is unrelated to a generic GPU memory leak in FastAPI." + }, + { + "left": "issue:3975", + "right": "issue:7871", + "accept": false, + "reason": "A typo in an error message is not the same issue as a blockwise-scales LoRA loading error." + }, + { + "left": "issue:7296", + "right": "issue:9902", + "accept": false, + "reason": "PEFT/DoRA dependency versioning is unrelated to Conda being stuck at 0.30.3." + }, + { + "left": "issue:3101", + "right": "issue:4206", + "accept": false, + "reason": "Both touch ControlNet training, but one is a training-example error and the other is an SDXL main-branch regression; not the same bug." + }, + { + "left": "issue:2371", + "right": "issue:2465", + "accept": false, + "reason": "Objects missing from Dreambooth output is unrelated to asking for a reproducible training recipe." + }, + { + "left": "issue:4566", + "right": "issue:7350", + "accept": false, + "reason": "Checkpoint resume for SDXL LoRA training is a different problem from initializing ControlNet from a UNet with LoRA." + }, + { + "left": "issue:12299", + "right": "issue:12348", + "accept": false, + "reason": "Both are tensor-mismatch reports, but they affect different pipelines/models and different triggers." + }, + { + "left": "issue:5028", + "right": "issue:5799", + "accept": false, + "reason": "Different pipelines and different API issues: an unexpected 'scale' kwarg vs an inpainting 'strength' kwarg question." + }, + { + "left": "issue:10194", + "right": "issue:11145", + "accept": false, + "reason": "Both are Flux-related feature requests, but one is about attention masking and the other about FLUX Fill LoRA/DreamBooth support." + }, + { + "left": "issue:2264", + "right": "issue:4306", + "accept": false, + "reason": "Seed-setting failure in InstructPix2Pix is a different bug than a list-index error in StableDiffusionReferencePipeline." + }, + { + "left": "issue:10972", + "right": "issue:11062", + "accept": false, + "reason": "Both are LoRA loading failures, but they involve different model sources and likely different compatibility paths." + }, + { + "left": "issue:2331", + "right": "issue:6372", + "accept": false, + "reason": "A generic ControlNet pipeline request is not the same as adding SVD+ControlNet support." + }, + { + "left": "issue:6093", + "right": "issue:9204", + "accept": false, + "reason": "Different scripts and different problems: repo creation in a consistency-model LoRA script vs FLUX.1 DreamBooth training support." + }, + { + "left": "issue:4353", + "right": "issue:6258", + "accept": false, + "reason": "Poor SDXL image quality is unrelated to forward chunking degrading Stable Video Diffusion output." + }, + { + "left": "issue:6092", + "right": "issue:9044", + "accept": false, + "reason": "Training not working is not the same as failing to load a specific SDXL base model file." + }, + { + "left": "issue:3174", + "right": "issue:4852", + "accept": false, + "reason": "New LoRA features breaking loading is broader than a specific 'error while loading lora' report; not enough evidence of one concrete bug." + }, + { + "left": "issue:7716", + "right": "issue:7936", + "accept": false, + "reason": "Missing config.json in a model directory is a different failure than invalid JSON while loading a local safetensors file." + }, + { + "left": "issue:7629", + "right": "issue:9613", + "accept": false, + "reason": "PyTorch-version OOM in SVD is unrelated to the 'Timesteps' object missing scale attribute." + }, + { + "left": "issue:4375", + "right": "issue:4731", + "accept": false, + "reason": "Both mention torch.compile, but they affect different pipelines and failure modes; not clearly the same fix." + }, + { + "left": "issue:1922", + "right": "issue:5661", + "accept": false, + "reason": "Undefined init_git_repo in a notebook is unrelated to a missing PreTrainedTokenizer name in diffusers 0.22.1." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 159, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10016", + "issue:10428", + "issue:10470", + "issue:10591", + "issue:10797", + "issue:10928", + "issue:1141", + "issue:1486", + "issue:1552", + "issue:1720", + "issue:1823", + "issue:1865", + "issue:1925", + "issue:1946", + "issue:2210", + "issue:228", + "issue:2442", + "issue:3224", + "issue:3296", + "issue:3452", + "issue:409", + "issue:4125", + "issue:4376", + "issue:4427", + "issue:4468", + "issue:4773", + "issue:4975", + "issue:5125", + "issue:5447", + "issue:547", + "issue:5606", + "issue:6176", + "issue:6183", + "issue:6280", + "issue:6362", + "issue:6382", + "issue:6385", + "issue:6527", + "issue:6602", + "issue:6632", + "issue:6722", + "issue:699", + "issue:7146", + "issue:7267", + "issue:7480", + "issue:7784", + "issue:785", + "issue:9803" + ], + "soft_pairs": [ + "issue:2210|issue:6722", + "issue:10016|issue:6183", + "issue:1552|issue:5447", + "issue:4125|issue:6362", + "issue:3296|issue:5125", + "issue:10428|issue:10470", + "issue:4376|issue:6527", + "issue:1486|issue:4468", + "issue:4773|issue:4975", + "issue:10470|issue:10797", + "issue:6385|issue:7146", + "issue:1925|issue:4427", + "issue:3224|issue:3452", + "issue:409|issue:785", + "issue:6176|issue:6602", + "issue:6280|issue:7784", + "issue:6382|issue:7480", + "issue:5606|issue:9803", + "issue:1720|issue:2442", + "issue:1865|issue:1946", + "issue:10591|issue:6632", + "issue:10928|issue:7267", + "issue:1141|issue:699", + "issue:1823|issue:547", + "issue:228|issue:547" + ], + "prepared_review_unit_hash": "6fea51cdf7d4a08006b36315250e860abb8d1b3e8032b6fa051de50cfe10a92f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34149, + "estimated_input_tokens": 8538, + "estimated_eval_tokens": 17332 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a true duplicate cluster; it\u2019s a collection of loosely related model-loading, training, and inference issues across different pipelines. None of the soft pairs look like the same underlying bug/change strongly enough to merge.", + "confidence": 0.82, + "canonical_issue_reason": "Issue 6183 is the best representative standalone bug report: it is concrete, reproducible, and describes a clear `from_single_file` shape-mismatch failure that could plausibly subsume the more specific SD3.5M variant in 10016.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6183 has the clearest failure mode and most canonical wording among the issue set, making it the strongest anchor if one issue must represent the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2210", + "right": "issue:6722", + "accept": false, + "reason": "Both mention text encoders, but one is LoRA training support and the other is SigLIP encoder usage; different feature requests, not the same bug/change." + }, + { + "left": "issue:10016", + "right": "issue:6183", + "accept": false, + "reason": "Both involve `from_single_file` shape issues, but they target different models and loading paths (SD3.5M vs SDXL); too specific to treat as the same bug." + }, + { + "left": "issue:1552", + "right": "issue:5447", + "accept": false, + "reason": "Attention slicing in SD2 and `denoising_start` with 2nd-order schedulers are unrelated code paths and failure modes." + }, + { + "left": "issue:4125", + "right": "issue:6362", + "accept": false, + "reason": "Loss-curve expectation for LoRA fine-tuning is not the same underlying issue as an OOM during SDXL dataset mapping." + }, + { + "left": "issue:3296", + "right": "issue:5125", + "accept": false, + "reason": "Checkpoint save/load with `text_encoder` and an XFormers CUDA configuration error are different bugs in different subsystems." + }, + { + "left": "issue:10428", + "right": "issue:10470", + "accept": false, + "reason": "Both are Flux-related inference problems, but one is Ascend NPU-specific and the other is torchao-related; not the same concrete bug." + }, + { + "left": "issue:4376", + "right": "issue:6527", + "accept": false, + "reason": "Textual inversion crash in SDXL and Euler scheduler `add_noise` behavior are separate issues." + }, + { + "left": "issue:1486", + "right": "issue:4468", + "accept": false, + "reason": "A DDIMScheduler prediction-type bug and a multi-GPU performance discrepancy are unrelated." + }, + { + "left": "issue:4773", + "right": "issue:4975", + "accept": false, + "reason": "Both concern LoRA loading, but one is a compatibility/loading report and the other is an efficiency issue from repeated datatype queries." + }, + { + "left": "issue:10470", + "right": "issue:10797", + "accept": false, + "reason": "Flux torchao inference failure and HunyuanVideo group-offloading failure are different pipelines and different mechanisms." + }, + { + "left": "issue:6385", + "right": "issue:7146", + "accept": false, + "reason": "StableVideoDiffusion VRAM usage and SDXL fine-tuning OOM are both memory-related but not the same bug or code path." + }, + { + "left": "issue:1925", + "right": "issue:4427", + "accept": false, + "reason": "Half-precision inpainting failure and the T2I Multiadapter example are unrelated." + }, + { + "left": "issue:3224", + "right": "issue:3452", + "accept": false, + "reason": "Duplicate learning-rate scaling logic and a 4GB VRAM training question do not describe the same underlying change." + }, + { + "left": "issue:409", + "right": "issue:785", + "accept": false, + "reason": "Missing `enable_attention_slicing` on the pipeline and PNDM scheduler cost are different issues." + }, + { + "left": "issue:6176", + "right": "issue:6602", + "accept": false, + "reason": "Both are LoRA/save/load related, but one concerns loading LoRA after DreamBooth LoRA training and the other concerns loading a fused pretrained model after save_pretrained; not the same fix." + }, + { + "left": "issue:6280", + "right": "issue:7784", + "accept": false, + "reason": "A missing `from_single_file` method and a missing `upcast_vae` attribute are distinct pipeline API bugs." + }, + { + "left": "issue:6382", + "right": "issue:7480", + "accept": false, + "reason": "IP-Adapter key errors during LCM LoRA training and DeepFloyd IF OOM are separate problems." + }, + { + "left": "issue:5606", + "right": "issue:9803", + "accept": false, + "reason": "LoRA loading with no alpha and Flux LoRA loading failure share a theme but not enough evidence of the same underlying bug." + }, + { + "left": "issue:1720", + "right": "issue:2442", + "accept": false, + "reason": "M1 Pro finetuning errors and inpainting loss-graph expectations are unrelated." + }, + { + "left": "issue:1865", + "right": "issue:1946", + "accept": false, + "reason": "DeepSpeed zero-stage dimension errors and XFormers CUDA invalid-argument errors are different failure modes." + }, + { + "left": "issue:10591", + "right": "issue:6632", + "accept": false, + "reason": "A bug in the SD3 LoRA training script is not the same as a question about whether `save_state` is necessary." + }, + { + "left": "issue:10928", + "right": "issue:7267", + "accept": false, + "reason": "Missing fp16 weight file in a UNet directory and broken local data loading in `train_controlnet.py` are different loading failures." + }, + { + "left": "issue:1141", + "right": "issue:699", + "accept": false, + "reason": "Local-file support in custom pipelines and negative prompt support are unrelated feature requests." + }, + { + "left": "issue:1823", + "right": "issue:547", + "accept": false, + "reason": "Swapped comments in depth2img and documentation for local Stable Diffusion loading are not the same issue." + }, + { + "left": "issue:228", + "right": "issue:547", + "accept": false, + "reason": "A broken release link and documentation for local loading are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 160, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10016", + "issue:10315", + "issue:10526", + "issue:10866", + "issue:11178", + "issue:11702", + "issue:12047", + "issue:13107", + "issue:1407", + "issue:1434", + "issue:2163", + "issue:2696", + "issue:3223", + "issue:3379", + "issue:3452", + "issue:3658", + "issue:3984", + "issue:4080", + "issue:4236", + "issue:4316", + "issue:434", + "issue:435", + "issue:4446", + "issue:4724", + "issue:5044", + "issue:5515", + "issue:6092", + "issue:6443", + "issue:6812", + "issue:6821", + "issue:7079", + "issue:7133", + "issue:7228", + "issue:7354", + "issue:7480", + "issue:7695", + "issue:771", + "issue:8464", + "issue:8477", + "issue:8482", + "issue:8589", + "issue:8874", + "issue:9164", + "issue:9358", + "issue:945", + "issue:9514", + "issue:9767", + "issue:9914" + ], + "soft_pairs": [ + "issue:3379|issue:945", + "issue:3452|issue:3658", + "issue:4080|issue:8482", + "issue:434|issue:435", + "issue:4724|issue:7695", + "issue:5515|issue:8464", + "issue:6812|issue:6821", + "issue:7133|issue:9358", + "issue:6092|issue:9164", + "issue:5044|issue:8874", + "issue:1434|issue:7480", + "issue:2163|issue:4316", + "issue:11702|issue:13107", + "issue:2696|issue:3223", + "issue:7079|issue:7228", + "issue:4446|issue:8589", + "issue:6443|issue:7354", + "issue:10526|issue:9514", + "issue:10016|issue:11178", + "issue:9767|issue:9914", + "issue:10315|issue:8477", + "issue:10866|issue:12047", + "issue:4236|issue:771", + "issue:1407|issue:3984" + ], + "prepared_review_unit_hash": "9374550123649b1b40ddd88fda0eae001a752ae856ee72ff894ba4a71a97fdfc", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34089, + "estimated_input_tokens": 8523, + "estimated_eval_tokens": 17302 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab-bag of unrelated Diffusers bug reports that only share broad wording around loading, training, LoRA, or model compatibility. None of the soft pairs look like the same underlying bug or change, so they should all be rejected as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": "issue:10016 is the clearest, most concrete report in the set: a specific from_single_file shape-mismatch failure with SD3.5M and pos_embed, with a well-defined code path and reproduction target.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10016 is the strongest representative issue because it is specific, actionable, and anchored to a concrete loader failure rather than a vague training or compatibility symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3379", + "right": "issue:945", + "accept": false, + "reason": "Both are checkpoint-loading problems, but one is DreamBooth intermediate checkpoint loading and the other is ONNX conversion of a custom checkpoint; different workflows and failure modes." + }, + { + "left": "issue:3452", + "right": "issue:3658", + "accept": false, + "reason": "One is a general low-VRAM DreamBooth training question, the other is a specific bug about extra noise latents in upsampler scripts; not the same underlying issue." + }, + { + "left": "issue:4080", + "right": "issue:8482", + "accept": false, + "reason": "One requests an SDXL inpainting pipeline, the other asks for SD3-medium support; different feature requests, not duplicates." + }, + { + "left": "issue:434", + "right": "issue:435", + "accept": false, + "reason": "Both mention notebook breakage, but one is about the training notebook after a version update and the other is a textual inversion object API error; different code paths." + }, + { + "left": "issue:4724", + "right": "issue:7695", + "accept": false, + "reason": "SDXL img2img behavior and an ip_adapter_masks attention-processor warning are unrelated pipeline issues." + }, + { + "left": "issue:5515", + "right": "issue:8464", + "accept": false, + "reason": "One is LCM pipeline initialization without a scheduler, the other is SEGA CPU offload with seed handling; different components and symptoms." + }, + { + "left": "issue:6812", + "right": "issue:6821", + "accept": false, + "reason": "A LoRA dtype mismatch in training is not the same as a CLI caption_column validation error; unrelated failures." + }, + { + "left": "issue:7133", + "right": "issue:9358", + "accept": false, + "reason": "Both involve Flux/LoRA text encoders, but one is checkpoint resume size mismatch and the other is redundant reinitialization during training; not the same bug." + }, + { + "left": "issue:6092", + "right": "issue:9164", + "accept": false, + "reason": "Both are LoRA training complaints, but one says the example does not train anything while the other says the dog example does not converge; different symptoms and likely different causes." + }, + { + "left": "issue:5044", + "right": "issue:8874", + "accept": false, + "reason": "Both are load failures, but Kandinsky 2.2 failing to load and a CKPT UnpicklingError in from_single_file are separate model-loading problems." + }, + { + "left": "issue:1434", + "right": "issue:7480", + "accept": false, + "reason": "Both are OOM reports, but they affect different pipelines and scenarios; not the same underlying memory issue." + }, + { + "left": "issue:2163", + "right": "issue:4316", + "accept": false, + "reason": "Both are training-script errors, but one is UNet dtype mismatch during text-to-image training and the other is validation-option failure in DreamBooth; unrelated." + }, + { + "left": "issue:11702", + "right": "issue:13107", + "accept": false, + "reason": "Both mention LoRA key errors, but they target different models and loading flows (AccVid vs Flux Klein); not enough to be the same bug." + }, + { + "left": "issue:2696", + "right": "issue:3223", + "accept": false, + "reason": "Torch CUDA install error and RAM not being cleared after moving a pipeline to CUDA are different environment/runtime issues." + }, + { + "left": "issue:7079", + "right": "issue:7228", + "accept": false, + "reason": "Transformer2DModel patch/norm_type error and traced-model missing dtype are distinct implementation bugs." + }, + { + "left": "issue:4446", + "right": "issue:8589", + "accept": false, + "reason": "Custom text_encoder loading in from_single_file and SD3 DreamBooth prior-preservation training are different problems in different parts of the stack." + }, + { + "left": "issue:6443", + "right": "issue:7354", + "accept": false, + "reason": "Scheduler compatibility for SAGPipeline and PNDMScheduler compatibility for DDPMPipeline are separate pipeline/scheduler issues." + }, + { + "left": "issue:10526", + "right": "issue:9514", + "accept": false, + "reason": "Both involve Flux and quantization/LoRA loading, but one is a WeightQBytesTensor construction error and the other is loading LoRA after fp8 quantization; different failure points." + }, + { + "left": "issue:10016", + "right": "issue:11178", + "accept": false, + "reason": "Both use from_single_file, but one is an SD3.5M pos_embed shape mismatch and the other is a MistoLine ControlNet load failure; different models and errors." + }, + { + "left": "issue:9767", + "right": "issue:9914", + "accept": false, + "reason": "Both concern Flux LoRA issues, but one is a cuDNN frontend runtime error in img2img and the other is loading a trained Xlabs LoRA; different code paths." + }, + { + "left": "issue:10315", + "right": "issue:8477", + "accept": false, + "reason": "A CogVideo training error and a DDP error in a research consistency script are unrelated training failures." + }, + { + "left": "issue:10866", + "right": "issue:12047", + "accept": false, + "reason": "Both are LoRA-related, but one is Lumina Image 2.0 LoRA compatibility and the other is fusing a Lightx2v LoRA on Wan2.2 GGUF; different model families and operations." + }, + { + "left": "issue:4236", + "right": "issue:771", + "accept": false, + "reason": "SDXL refiner text-encoder registration and BF16 DreamBooth support are unrelated issues." + }, + { + "left": "issue:1407", + "right": "issue:3984", + "accept": false, + "reason": "One is an ONNX pipeline regression caused by a PR, the other is a classifier-label requirement error; no shared bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 161, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10231", + "issue:1037", + "issue:10639", + "issue:11088", + "issue:11136", + "issue:1141", + "issue:12047", + "issue:12329", + "issue:13079", + "issue:1537", + "issue:1541", + "issue:1974", + "issue:2107", + "issue:2156", + "issue:2444", + "issue:2465", + "issue:2781", + "issue:3182", + "issue:3420", + "issue:3740", + "issue:4134", + "issue:4213", + "issue:4398", + "issue:4488", + "issue:4639", + "issue:5447", + "issue:5520", + "issue:5557", + "issue:5619", + "issue:5919", + "issue:6230", + "issue:6492", + "issue:6791", + "issue:6815", + "issue:6832", + "issue:6870", + "issue:7418", + "issue:7492", + "issue:7591", + "issue:7931", + "issue:8874", + "issue:8885", + "issue:8939", + "issue:9052", + "issue:9558", + "issue:9729", + "issue:9873" + ], + "soft_pairs": [ + "issue:4398|issue:6492", + "issue:2107|issue:6815", + "issue:2444|issue:4639", + "issue:1037|issue:1141", + "issue:10639|issue:9873", + "issue:2156|issue:2465", + "issue:2781|issue:5919", + "issue:5557|issue:9729", + "issue:7418|issue:8939", + "issue:6832|issue:7931", + "issue:12047|issue:12329", + "issue:5520|issue:7591", + "issue:5619|issue:9558", + "issue:8874|issue:9052", + "issue:6870|issue:7492", + "issue:3182|issue:3420", + "issue:6230|issue:6791", + "issue:1537|issue:4134", + "issue:1541|issue:4488", + "issue:11136|issue:13079", + "issue:1974|issue:5447", + "issue:10231|issue:8885", + "issue:3740|issue:4213", + "issue:11088|issue:12047" + ], + "prepared_review_unit_hash": "1d4eb3f697f74e59bcfb82b56223d1422409d6e4306858ff37d5fd72d6a5fc48", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 34047, + "estimated_input_tokens": 8512, + "estimated_eval_tokens": 17280 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated diffusers issues; only one soft edge looks like a true duplicate. The clearest match is the pair about `from_single_file` throwing `HeaderTooLarge`.", + "confidence": 0.81, + "canonical_issue_reason": "issue:7591 is the better canonical target for the `HeaderTooLarge` duplicate pair because it states the exact `from_single_file` reproduction (`local_files_only=True`) and the concrete error, making it more actionable and specific.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:7591 is the strongest overall issue in the set for duplicate triage because it is specific, diagnostic, and directly names the failing code path and error message.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4398", + "right": "issue:6492", + "accept": false, + "reason": "Both mention black images, but one is SDXL LoRA dreambooth output and the other is generic image generation; too broad to be the same bug." + }, + { + "left": "issue:2107", + "right": "issue:6815", + "accept": false, + "reason": "Similar symptom, but 2107 is low-resolution black/glitchy generation while 6815 is a tensorboard validation-image casting warning; different concrete causes." + }, + { + "left": "issue:2444", + "right": "issue:4639", + "accept": false, + "reason": "Different training scripts and different failures (`exit status 1` vs multiprocessing/data-loader error); not the same underlying bug." + }, + { + "left": "issue:1037", + "right": "issue:1141", + "accept": false, + "reason": "Community pipeline addition vs local-file support for custom pipelines; unrelated change requests." + }, + { + "left": "issue:10639", + "right": "issue:9873", + "accept": false, + "reason": "Both are pipeline feature requests, but for different models (`Lumina-Image 2.0` vs `OmniGen`); not mergeable as one change." + }, + { + "left": "issue:2156", + "right": "issue:2465", + "accept": false, + "reason": "Dreambooth training CPU-vs-GPU bug is unrelated to asking for a reproducible recipe/blog example." + }, + { + "left": "issue:2781", + "right": "issue:5919", + "accept": false, + "reason": "`_cuda_setDevice` with gloo data training and missing `set_lora_layer` are unrelated failures in different areas." + }, + { + "left": "issue:5557", + "right": "issue:9729", + "accept": false, + "reason": "Different error paths: unexpected `use_reentrant` kwarg vs unexpected save-model type for T5EncoderModel." + }, + { + "left": "issue:7418", + "right": "issue:8939", + "accept": false, + "reason": "Community pipeline bug vs tokenizer-loading failure for SD3; different subsystems and symptoms." + }, + { + "left": "issue:6832", + "right": "issue:7931", + "accept": false, + "reason": "Both involve IP-Adapter, but one is a tuple/shape error and the other is `ip_adapter_image_embeds` compatibility in a controlnet inpaint pipeline; not the same concrete bug." + }, + { + "left": "issue:12047", + "right": "issue:12329", + "accept": false, + "reason": "Both are Wan2.2/GGUF-adjacent, but one is LoRA fusion failing and the other is misclassifying a single-file transformer as Wan2.1; different code paths." + }, + { + "left": "issue:5520", + "right": "issue:7591", + "accept": true, + "reason": "Same `HeaderTooLarge` deserialization failure in the `from_single_file` path; `7591` adds the specific `local_files_only=True` reproduction, so these look like the same bug." + }, + { + "left": "issue:5619", + "right": "issue:9558", + "accept": false, + "reason": "One is an `AutoencodeTiny` encoding bug in LCM img2img; the other is black validation images in tensorboard training output." + }, + { + "left": "issue:8874", + "right": "issue:9052", + "accept": false, + "reason": "Both are `from_single_file` loading issues, but the reported failures differ (`UnpicklingError`/weights-only load vs certain civit checkpoints); not enough evidence of one root cause." + }, + { + "left": "issue:6870", + "right": "issue:7492", + "accept": false, + "reason": "VAE tiling missing in SD img2img/inpaint is unrelated to a repository-not-found error for `t2iadapter-model`." + }, + { + "left": "issue:3182", + "right": "issue:3420", + "accept": false, + "reason": "Different pipelines and failures: CPU offload with `lpw_stable_diffusion` vs ControlNet inpaint not working with the diffusion pipeline." + }, + { + "left": "issue:6230", + "right": "issue:6791", + "accept": false, + "reason": "Both concern the SDXL training script, but one is OOM and the other is a generic cannot-run report; too vague to treat as the same issue." + }, + { + "left": "issue:1537", + "right": "issue:4134", + "accept": false, + "reason": "Both mention Apple MPS, but the scheduler incompatibility and the ControlNet tensor-shape mismatch are separate bugs." + }, + { + "left": "issue:1541", + "right": "issue:4488", + "accept": false, + "reason": "Checkpoint-loading problems, but one is generic MODEL_TYPE detection for Dreambooth and the other is SDXL loading requiring `pipeline_class`; different root causes." + }, + { + "left": "issue:11136", + "right": "issue:13079", + "accept": false, + "reason": "SanaSprint intermediate timesteps support and FLUX.2-klein CUDA OOM are unrelated." + }, + { + "left": "issue:1974", + "right": "issue:5447", + "accept": false, + "reason": "Both involve schedulers, but one is generator-list reproducibility and the other is `denoising_start` with 2nd-order schedulers; not the same bug." + }, + { + "left": "issue:10231", + "right": "issue:8885", + "accept": false, + "reason": "ImportError in Ubuntu tutorial code is unrelated to clip-retrieval install/token loading in the Custom Diffusion example." + }, + { + "left": "issue:3740", + "right": "issue:4213", + "accept": false, + "reason": "Legacy attention block conversion with `device_map='sequential'` is unrelated to `from_single_file()` needing accelerate for SDXL." + }, + { + "left": "issue:11088", + "right": "issue:12047", + "accept": false, + "reason": "Both are Wan2.x/GGUF issues, but one is a GGUF transformer load error and the other is LoRA fusion failure on Wan2.2; different failures." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft edges. The lone accepted duplicate pair, issue:5520 and issue:7591, is well supported by the shared `from_single_file` / `HeaderTooLarge` failure, and the rest of the rejects avoid overstating similarity. The canonical issue choice is also reasonably justified by the more specific reproduction in issue:7591." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 162, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10281", + "issue:1049", + "issue:11135", + "issue:1141", + "issue:11978", + "issue:12149", + "issue:12547", + "issue:12574", + "issue:12722", + "issue:13079", + "issue:13232", + "issue:1614", + "issue:1730", + "issue:2747", + "issue:2785", + "issue:3045", + "issue:4002", + "issue:4213", + "issue:4321", + "issue:457", + "issue:4892", + "issue:4974", + "issue:5004", + "issue:5475", + "issue:5605", + "issue:5628", + "issue:5630", + "issue:5873", + "issue:6093", + "issue:6232", + "issue:660", + "issue:6928", + "issue:7053", + "issue:7080", + "issue:7142", + "issue:7168", + "issue:7752", + "issue:7882", + "issue:7978", + "issue:8792", + "issue:9161", + "issue:9186", + "issue:9227", + "issue:9448", + "issue:9576", + "issue:9673", + "issue:9942" + ], + "soft_pairs": [ + "issue:1049|issue:2747", + "issue:1141|issue:5605", + "issue:1614|issue:4321", + "issue:4002|issue:7882", + "issue:5873|issue:7053", + "issue:12547|issue:12574", + "issue:7168|issue:9448", + "issue:4892|issue:5475", + "issue:9161|issue:9227", + "issue:1730|issue:7752", + "issue:10281|issue:11135", + "issue:12722|issue:13079", + "issue:3045|issue:4974", + "issue:7882|issue:9186", + "issue:457|issue:660", + "issue:11978|issue:13232", + "issue:12149|issue:9942", + "issue:7080|issue:7142", + "issue:9576|issue:9673", + "issue:5628|issue:6232", + "issue:2785|issue:6928", + "issue:5004|issue:6093", + "issue:4213|issue:7978", + "issue:5630|issue:8792" + ], + "prepared_review_unit_hash": "283e23916877c79f3ce366844bcfe589283f6959c25a4fec830c285e4373a8df", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33633, + "estimated_input_tokens": 8409, + "estimated_eval_tokens": 17074 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated feature requests, training bugs, backend-specific runtime issues, packaging problems, and docs changes. None of the soft edges look like true duplicates, so all are rejected.", + "confidence": 0.93, + "canonical_issue_reason": "No single issue is a credible canonical duplicate target; the items span many unrelated code paths and problem types.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative for the cluster, because there is no shared underlying bug or change across the items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1049", + "right": "issue:2747", + "accept": false, + "reason": "Both are docs-related, but one is specifically Euler schedulers and the other is a generic docs update; not the same change." + }, + { + "left": "issue:1141", + "right": "issue:5605", + "accept": false, + "reason": "Custom pipeline local-file support and SDXL dreambooth per-image captions are unrelated features." + }, + { + "left": "issue:1614", + "right": "issue:4321", + "accept": false, + "reason": "Both mention black images, 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model safetensor conversion; not the same concrete request." + }, + { + "left": "issue:7882", + "right": "issue:9186", + "accept": false, + "reason": "Missing from_single_file support for T2I Adapter is unrelated to Differential Diffusion with ControlNet." + }, + { + "left": "issue:457", + "right": "issue:660", + "accept": false, + "reason": "Both are MPS-related, but blue artifacts and fp16-on-M1 behavior are different bugs." + }, + { + "left": "issue:11978", + "right": "issue:13232", + "accept": false, + "reason": "Bria 3.2 support and LTX-2.3 support are separate model additions." + }, + { + "left": "issue:12149", + "right": "issue:9942", + "accept": false, + "reason": "A pip/source alignment mismatch is not the same as a dev-version installation failure." + }, + { + "left": "issue:7080", + "right": "issue:7142", + "accept": false, + "reason": "SDXL ControlNet training output mismatch and SDXL-lightning inference mismatch are different symptoms with different setups." + }, + { + "left": "issue:9576", + "right": "issue:9673", + "accept": false, + "reason": "Passing use_safetensors to submodules and high CPU usage with multiple LoRAs are unrelated loading issues." + }, + { + "left": "issue:5628", + "right": "issue:6232", + "accept": false, + "reason": "These are distinct scheduler bugs affecting different methods and behaviors." + }, + { + "left": "issue:2785", + "right": "issue:6928", + "accept": false, + "reason": "M1/M2 text-to-video support and depthmap colorization toggling are unrelated feature requests." + }, + { + "left": "issue:5004", + "right": "issue:6093", + "accept": false, + "reason": "Checkpoint-resume failure in training and push_to_hub repo creation are different training-script problems." + }, + { + "left": "issue:4213", + "right": "issue:7978", + "accept": false, + "reason": "from_single_file support without accelerate is unrelated to the torchvision::nms runtime error." + }, + { + "left": "issue:5630", + "right": "issue:8792", + "accept": false, + "reason": "LMS scheduler noise in SDXL Img2Img and general image-quality degradation after migration are not the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 163, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1037", + "issue:10447", + "issue:10550", + "issue:10594", + "issue:10650", + "issue:1125", + "issue:12396", + "issue:12459", + "issue:12533", + "issue:12536", + "issue:1434", + "issue:1811", + "issue:1925", + "issue:1931", + "issue:2036", + "issue:2107", + "issue:2673", + "issue:2838", + "issue:3182", + "issue:4104", + "issue:4185", + "issue:4368", + 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"canonical_issue_reason": "No single issue cleanly represents the whole set, but #10550 is the strongest standalone anchor: it is concrete, well-discussed, and has external references, whereas most others are narrower one-off failures or feature requests.", + "canonical_pr_reason": null, + "best_issue_reason": "#10550 is the best representative issue because it describes a specific reproducible bug with broader discussion and references; it is more suitable as an anchor than the purely symptom-level or feature-request items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2107", + "right": "issue:4104", + "accept": false, + "reason": "Both mention black/glitchy image outputs, but one is tied to low-resolution inputs and the other to an invalid-value cast path; not clearly the same bug." + }, + { + "left": "issue:4402", + "right": "issue:8900", + "accept": false, + "reason": "Both concern SDXL single-file loading, but one is an inpaint pipeline failure and the other asks how to load a refiner checkpoint; different concrete code paths." + }, + { + "left": "issue:12459", + "right": "issue:9717", + "accept": false, + "reason": "One is a batch inference throughput complaint and the other is a docker image error; too different in failure mode and scope." + }, + { + "left": "issue:4726", + "right": "issue:4806", + "accept": false, + "reason": "Both are typing-related, but they target different APIs/classes and do not look like the same underlying bug." + }, + { + "left": "issue:5897", + "right": "issue:8826", + "accept": false, + "reason": "Device mismatch during LoRA training is unrelated to an empty-tensor concatenation runtime error." + }, + { + "left": "issue:10650", + "right": "issue:7003", + "accept": false, + "reason": "Both are shape/runtime errors, but they involve different models and different tensor mismatches; not the same bug." + }, + { + "left": "issue:8464", + "right": "issue:9637", + "accept": false, + "reason": "Seed handling with CPU offload is unrelated to XFormers attention-mask/bfloat16 constraints." + }, + { + "left": "issue:10447", + "right": "issue:7267", + "accept": false, + "reason": "One is a conversion script splitting UNet weights for large models; the other is local data loading in a training script." + }, + { + "left": "issue:6362", + "right": "issue:9523", + "accept": false, + "reason": "Dataset-mapping OOM and controlnet training mapping errors are both training-time issues, but not the same concrete defect." + }, + { + "left": "issue:2673", + "right": "issue:3182", + "accept": false, + "reason": "Both mention pipelines and offload-related failures, but one is an upscale pipeline config/image-input error and the other is a specific custom LPW pipeline CPU-offload incompatibility." + }, + { + "left": "issue:4368", + "right": "issue:8729", + "accept": false, + "reason": "LoRA training OOM is unrelated to an unexpected validation image in a controlnet training script." + }, + { + "left": "issue:12396", + "right": "issue:9856", + "accept": false, + "reason": "Adapter deletion with leaf_level errors and a distributed port collision are unrelated problems." + }, + { + "left": "issue:5399", + "right": "issue:5509", + "accept": false, + "reason": "A dtype mismatch in custom inpainting is not the same as an image batch-size mismatch for ndarray/cv2 inputs." + }, + { + "left": "issue:1037", + "right": "issue:2838", + "accept": false, + "reason": "A feature request to add a community pipeline is not a duplicate of a controlnet usage request." + }, + { + "left": "issue:1125", + "right": "issue:4605", + "accept": false, + "reason": "Both involve inpaint-related failures, but one is a Stable Diffusion Mega inpaint runtime error and the other is a long-prompt-weighting error with an inpaint model; too different to merge." + }, + { + "left": "issue:8839", + "right": "issue:9767", + "accept": false, + "reason": "LoRA weight loading in SD3 and a cuDNN frontend error in Flux img2img are separate model/runtime issues." + }, + { + "left": "issue:1811", + "right": "issue:5719", + "accept": false, + "reason": "Both concern weight-file selection order, but one is generic from_pretrained behavior and the other is LoRA-loading precedence; not the same bug." + }, + { + "left": "issue:4185", + "right": "issue:4476", + "accept": false, + "reason": "Both mention SDXL+ControlNet, but one reports black images at inference and the other poor expected results in fill50k training; different symptoms and likely causes." + }, + { + "left": "issue:1931", + "right": "issue:6164", + "accept": false, + "reason": "Float16 dtype failures and latent output handling are distinct issues in different parts of the pipeline." + }, + { + "left": "issue:7354", + "right": "issue:7660", + "accept": false, + "reason": "A scheduler compatibility issue and a trace example failure are not the same underlying problem." + }, + { + "left": "issue:12533", + "right": "issue:12536", + "accept": false, + "reason": "Both relate to context parallelism, but one is a hooks conflict with CPU offload while the other is a mesh-size divisibility assertion; different concrete bugs." + }, + { + "left": "issue:10550", + "right": "issue:10594", + "accept": false, + "reason": "Loading LoRA into a quantized base model is unrelated to combining multiple controls with LoRA on FLUX.1-dev." + }, + { + "left": "issue:1434", + "right": "issue:5215", + "accept": false, + "reason": "OOM during upscale and brightness shifts on dark source images are different symptoms with different likely causes." + }, + { + "left": "issue:1925", + "right": "issue:2036", + "accept": false, + "reason": "Stable-diffusion-2 inpainting half-precision failure is not the same as an OSError loading stable-diffusion-v1-4." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + 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"estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33414, + "estimated_input_tokens": 8354, + "estimated_eval_tokens": 16964 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose thematic grouping around diffusion/LoRA/pipeline issues, not a true duplicate set. The closest overlap is among Flux LoRA loading reports, but the concrete models, pipelines, and failure modes differ enough that none of the soft pairs should be merged.", + "confidence": 0.86, + "canonical_issue_reason": "Issue 11651 is the most representative single bug report: it clearly describes a concrete Flux/LoRA loading failure with a specific pipeline and repro context.", + "canonical_pr_reason": null, + "best_issue_reason": "11651 is the strongest anchor for the cluster because it is specific, actionable, and centrally aligned with the Flux LoRA-loading theme shared by only a subset of the items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:202", + "right": "issue:4001", + "accept": false, + "reason": "Unrelated test addition vs README demo request; no shared bug or code change." + }, + { + "left": "issue:2068", + "right": "issue:4488", + "accept": false, + "reason": "Different problems: dtype conversion in from_pretrained vs SDXL checkpoint loading without pipeline_class." + }, + { + "left": "issue:3595", + "right": "issue:4186", + "accept": false, + "reason": "Different loading paths and failures: from_ckpt conversion vs SDXL inpaint/refiner behavior." + }, + { + "left": "issue:4265", + "right": "issue:6823", + "accept": false, + "reason": "Both involve ControlNet, but one is an import error for SDXL ControlNetPipeline and the other is a generic cannot-use-controlnet report; not the same concrete issue." + }, + { + "left": "issue:4453", + "right": "issue:861", + "accept": false, + "reason": "Different conversions and target formats: SDXL LoRA conversion for A1111 vs ckpt-to-diffusers conversion." + }, + { + "left": "issue:5783", + "right": "issue:6234", + "accept": false, + "reason": "Both mention SDXL training examples, but one is EMA behavior and the other is a vague example script issue; insufficient evidence of the same bug." + }, + { + "left": "issue:7057", + "right": "issue:7441", + "accept": false, + "reason": "Different failure types and contexts: model checkpoint issue vs pytest on Python 3.12." + }, + { + "left": "issue:1544", + "right": "issue:2234", + "accept": false, + "reason": "Both are training-related, but one is a missing scheduler method and the other is xformers finetuning incompatibility; different code-path problems." + }, + { + "left": "issue:10026", + "right": "issue:12082", + "accept": false, + "reason": "Both mention memory, but one is Flux ControlNet/DeepSpeed multi-GPU training and the other is Wan2.1 VAE compile memory regression; not the same bug." + }, + { + "left": "issue:11651", + "right": "issue:13162", + "accept": false, + "reason": "Loading failure vs feature request for FLUX.2-klein-4b LoRA support; not the same underlying change or bug." + }, + { + "left": "issue:12299", + "right": "issue:12529", + "accept": false, + "reason": "Different models and symptoms: SD3 tensor mismatch with negative prompt embeddings vs Wan2.2 tiled VAE tensor size mismatch." + }, + { + "left": "issue:5545", + "right": "issue:5577", + "accept": false, + "reason": "Both are model-loading errors, but StableDiffusionInpaintPipeline use differs from ControlNetModel.from_single_file key mismatch." + }, + { + "left": "issue:4840", + "right": "issue:7985", + "accept": false, + "reason": "Different subsystems and failure modes: FlaxAutoencoderKL checkpoint loading vs IPAdapter with torch.compile." + }, + { + "left": "issue:3886", + "right": "issue:4801", + "accept": false, + "reason": "Distributed training timeout vs mixed-precision example bug; only broad training context overlaps." + }, + { + "left": "issue:10804", + "right": "issue:10952", + "accept": false, + "reason": "Both involve LoRA loading, but one is FLUX LoRA load failure and the other is SDXLLongPromptWeightingPipeline adapter-name mismatch; different pipelines and error paths." + }, + { + "left": "issue:5545", + "right": "issue:7210", + "accept": false, + "reason": "Different objects and failures: inpaint pipeline problem vs named_parameters missing during accelerate dispatch." + }, + { + "left": "issue:11687", + "right": "issue:11700", + "accept": false, + "reason": "Doc request vs implementation request for pruna integration; related topic, but not the same issue." + }, + { + "left": "issue:2462", + "right": "issue:4080", + "accept": false, + "reason": "IterableDataset training support vs SDXL inpainting pipeline feature request; not duplicates." + }, + { + "left": "issue:5344", + "right": "issue:9089", + "accept": false, + "reason": "Different missing dependency/import problems: omegaconf requirement vs FluxPipeline not found." + }, + { + "left": "issue:6894", + "right": "issue:9164", + "accept": false, + "reason": "Both concern LoRA training/output, but one is A1111 compatibility regression and the other is non-converging Flux dreambooth example; not the same code-path problem." + }, + { + "left": "issue:10287", + "right": "issue:11024", + "accept": false, + "reason": "Generic docs issue vs specific SiglipImageProcessor .to() method bug; no concrete overlap." + }, + { + "left": "issue:7690", + "right": "issue:9804", + "accept": false, + "reason": "Tokenizer loading failure vs ControlNetModel.from_pretrained local SDXL controlnet loading failure; different components." + }, + { + "left": "issue:8873", + "right": "issue:9576", + "accept": false, + "reason": "Performance regression with xformers vs use_safetensors propagation bug; unrelated." + }, + { + "left": "issue:9611", + "right": "issue:9895", + "accept": false, + "reason": "Both are Flux inference issues, but one is image batching and the other is device placement mismatch after a specific commit; different bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 165, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1061", + "issue:10722", + "issue:10863", + "issue:11046", + "issue:1475", + "issue:1534", + "issue:1867", + "issue:1949", + "issue:1988", + "issue:2052", + "issue:2161", + "issue:2163", + "issue:228", + "issue:2577", + "issue:2674", + "issue:2774", + "issue:2880", + "issue:3064", + "issue:3412", + "issue:381", + "issue:3871", + "issue:3948", + "issue:4086", + "issue:4398", + "issue:4566", + "issue:5025", + "issue:5043", + "issue:5465", + "issue:5575", + "issue:5606", + "issue:5607", + "issue:5670", + "issue:579", + "issue:5925", + "issue:6130", + "issue:6196", + "issue:7556", + "issue:7592", + "issue:7782", + "issue:7793", + "issue:8469", + "issue:8493", + "issue:8667", + "issue:8828", + "issue:8874", + "issue:8950", + "issue:9410", + "issue:9767" + ], + "soft_pairs": [ + "issue:2161|issue:5575", + "issue:8828|issue:8950", + "issue:10722|issue:5607", + "issue:1534|issue:381", + "issue:2774|issue:579", + "issue:5043|issue:5925", + "issue:5670|issue:8667", + "issue:11046|issue:8469", + "issue:3948|issue:4398", + "issue:2577|issue:2674", + "issue:6130|issue:6196", + "issue:1988|issue:3871", + "issue:5025|issue:9410", + "issue:2052|issue:4566", + "issue:4086|issue:7592", + "issue:7782|issue:8874", + "issue:7793|issue:9767", + "issue:10863|issue:8493", + "issue:1061|issue:1475", + "issue:1867|issue:5465", + "issue:1949|issue:2163", + "issue:228|issue:2880", + "issue:3064|issue:5606", + "issue:3412|issue:7556" + ], + "prepared_review_unit_hash": "57f597bdaa5c3b0f8f4c2c9d3bb46f1c891a3b61c3ae82f0c48aa0c649fedbd4", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33876, + "estimated_input_tokens": 8469, + "estimated_eval_tokens": 17194 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: most items are distinct training/loading/docs issues across different pipelines, models, and failure modes. I do not see any safe duplicate pair among the soft edges.", + "confidence": 0.62, + "canonical_issue_reason": "issue:2163 is the most concrete and well-scoped bug report here: a reproducible `train_text_to_image.py` dtype mismatch with substantial discussion, making it the best anchor for this mixed cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "It has the clearest failure description, the most actionable code path, and enough discussion to serve as a useful triage representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2161", + "right": "issue:5575", + "accept": false, + "reason": "Both mention LoRA training, but one is about inpainting-model training and the other asks about a hidden-size setting; different issue and fix." + }, + { + "left": "issue:8828", + "right": "issue:8950", + "accept": false, + "reason": "Both are SD3 training errors, but 8828 is a general 16GB training failure while 8950 is a specific LoRA-training bug." + }, + { + "left": "issue:10722", + "right": "issue:5607", + "accept": false, + "reason": "Both are tensor-size mismatch errors, but the shapes and training contexts differ; not the same concrete bug." + }, + { + "left": "issue:1534", + "right": "issue:381", + "accept": false, + "reason": "Different notebooks and different failure modes; no evidence they share the same underlying defect." + }, + { + "left": "issue:2774", + "right": "issue:579", + "accept": false, + "reason": "ControlNet safetensors conversion vs Textual Inversion config loading are separate code paths." + }, + { + "left": "issue:5043", + "right": "issue:5925", + "accept": false, + "reason": "Both are LoRA-related feature requests, but they ask for different functionality and are not duplicates." + }, + { + "left": "issue:5670", + "right": "issue:8667", + "accept": false, + "reason": "Different pipelines/models; only a broad shape-handling theme overlaps." + }, + { + "left": "issue:11046", + "right": "issue:8469", + "accept": false, + "reason": "General Flux ControlNet/inpainting/IP-Adapter inference issue vs SD15 face corruption; different models and symptoms." + }, + { + "left": "issue:3948", + "right": "issue:4398", + "accept": false, + "reason": "Both concern bad-looking generated images, but the symptoms and likely causes are different." + }, + { + "left": "issue:2577", + "right": "issue:2674", + "accept": false, + "reason": "DDIM inverse scheduler behavior vs a missing safetensors dependency; unrelated problems." + }, + { + "left": "issue:6130", + "right": "issue:6196", + "accept": false, + "reason": "Both are loading errors, but for different targets: LoRA weights vs ControlNetXS Depth SDXL." + }, + { + "left": "issue:1988", + "right": "issue:3871", + "accept": false, + "reason": "One is an fp16/bf16 dtype mismatch during generation, the other is a checkpoint-resume failure." + }, + { + "left": "issue:5025", + "right": "issue:9410", + "accept": false, + "reason": "Both are import errors, but they concern different missing symbols and different components." + }, + { + "left": "issue:2052", + "right": "issue:4566", + "accept": false, + "reason": "Both involve resume, but they are different training scripts/model families and likely different checkpoint logic." + }, + { + "left": "issue:4086", + "right": "issue:7592", + "accept": false, + "reason": "SDXL controlnet training trouble vs DoRA state_dict loading; distinct defects." + }, + { + "left": "issue:7782", + "right": "issue:8874", + "accept": false, + "reason": "Both involve loading serialized weights, but one is safetensors conversion and the other is CKPT single-file loading." + }, + { + "left": "issue:7793", + "right": "issue:9767", + "accept": false, + "reason": "Different LoRA contexts/models and unrelated runtime errors; not the same bug." + }, + { + "left": "issue:10863", + "right": "issue:8493", + "accept": false, + "reason": "Different loading failures: local safetensors parsing vs SD3 state_dict key mismatch." + }, + { + "left": "issue:1061", + "right": "issue:1475", + "accept": false, + "reason": "Docs update vs training issue; not duplicates." + }, + { + "left": "issue:1867", + "right": "issue:5465", + "accept": false, + "reason": "Both mention strength parameters, but the pipelines and behaviors differ." + }, + { + "left": "issue:1949", + "right": "issue:2163", + "accept": false, + "reason": "Both are training-example bugs, but on different scripts and with different root causes." + }, + { + "left": "issue:228", + "right": "issue:2880", + "accept": false, + "reason": "Broken model link vs JAX colab runtime failure; unrelated." + }, + { + "left": "issue:3064", + "right": "issue:5606", + "accept": false, + "reason": "Both are LoRA loading problems, but one is generic `.safetensors` loading and the other is missing alpha handling." + }, + { + "left": "issue:3412", + "right": "issue:7556", + "accept": false, + "reason": "Both are documentation tasks, but they are different update requests." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 166, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10520", + "issue:11046", + "issue:11185", + "issue:11824", + "issue:12348", + "issue:12536", + "issue:1988", + "issue:2596", + "issue:2603", + "issue:2669", + "issue:2673", + "issue:2991", + "issue:3910", + "issue:4031", + "issue:4037", + "issue:4134", + "issue:4697", + "issue:5025", + "issue:5227", + "issue:5458", + "issue:5595", + "issue:5596", + "issue:5862", + "issue:5905", + "issue:6162", + "issue:6435", + "issue:6791", + "issue:7114", + "issue:7185", + "issue:7229", + "issue:7267", + "issue:7420", + "issue:7636", + "issue:7799", + "issue:8237", + "issue:8450", + "issue:8482", + "issue:9045", + "issue:9115", + "issue:9227", + "issue:9237", + "issue:9309", + "issue:9341", + "issue:9378", + "issue:9402", + "issue:9515", + "issue:9670" + ], + "soft_pairs": [ + "issue:5905|issue:8482", + "issue:9378|issue:9402", + "issue:7799|issue:9115", + "issue:4031|issue:7267", + "issue:3910|issue:4697", + "issue:5595|issue:6435", + "issue:9227|issue:9309", + "issue:2669|issue:5596", + "issue:2991|issue:4037", + "issue:9341|issue:9670", + "issue:4134|issue:7636", + "issue:10520|issue:9045", + "issue:1988|issue:6162", + "issue:11185|issue:11824", + "issue:2596|issue:5025", + "issue:3910|issue:8237", + "issue:5458|issue:7185", + "issue:5862|issue:9515", + "issue:6791|issue:7114", + "issue:12348|issue:12536", + "issue:11046|issue:8450", + "issue:5227|issue:7420", + "issue:2603|issue:2673", + "issue:7229|issue:9237" + ], + "prepared_review_unit_hash": "8e3af0f68cfabd6e197bdd8130bdd238a1e09e1bcd2e7282a17dda5e4a99e3df", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33390, + "estimated_input_tokens": 8348, + "estimated_eval_tokens": 16952 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a heterogeneous cluster of mostly unrelated bug reports and feature requests across different pipelines/models (LoRA loading, Flux, ControlNet, SDXL, Wan, etc.). The soft pairs are only broadly similar at the title level and do not look like the same underlying fixable bug/change.", + "confidence": 0.93, + "canonical_issue_reason": "issue:12348 is the best representative issue to anchor the cluster because it is a concrete, reproducible tensor-mismatch report with a specific pipeline and symptom, and it is more precise than the neighboring shape/context-parallelism reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12348 is the strongest overall issue candidate: it is specific, actionable, and clearly describes the failure mode and affected pipeline.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5905", + "right": "issue:8482", + "accept": false, + "reason": "Different requests: adding a new diffusion-GAN model vs support for a specific SD3 model; not the same bug/change." + }, + { + "left": "issue:9378", + "right": "issue:9402", + "accept": false, + "reason": "Both involve Flux ControlNet, but one is Xlabs ControlNet support and the other adds img2img/inpaint pipelines; separate changes." + }, + { + "left": "issue:7799", + "right": "issue:9115", + "accept": false, + "reason": "Different code paths and symptoms: IP-Adapter matmul mismatch in InstructPix2Pix vs AnimateDiff-Lightning/SDXL motion adapter error." + }, + { + "left": "issue:4031", + "right": "issue:7267", + "accept": false, + "reason": "Unrelated failures: loading a standalone safety checker from local file vs broken local data loading in train_controlnet.py." + }, + { + "left": "issue:3910", + "right": "issue:4697", + "accept": false, + "reason": "Both are LoRA-related, but one is a broad load failure and the other is a specific post-0.20.0 regression for one LoRA." + }, + { + "left": "issue:5595", + "right": "issue:6435", + "accept": false, + "reason": "Different bugs: size-divisibility validation for image dimensions vs ControlNet default width/height initialization." + }, + { + "left": "issue:9227", + "right": "issue:9309", + "accept": false, + "reason": "Different parts of Flux: Dreambooth LoRA training vs FluxControlNetPipeline inference on Flux 1 schnell." + }, + { + "left": "issue:2669", + "right": "issue:5596", + "accept": false, + "reason": "Different exceptions in different contexts: NoneType.replace vs dict.convert while building a dataset." + }, + { + "left": "issue:2991", + "right": "issue:4037", + "accept": false, + "reason": "Both mention ControlNet training, but mixed-precision example failure and FSDP validation errors are different problems." + }, + { + "left": "issue:9341", + "right": "issue:9670", + "accept": false, + "reason": "One is a Flux LoRA loading edge case involving text_model keys; the other is a missing PEFT backend dependency." + }, + { + "left": "issue:4134", + "right": "issue:7636", + "accept": false, + "reason": "Different issue types: MPS tensor-size mismatch in ControlNet vs a usage/support question for the SDXL tile ControlNet model." + }, + { + "left": "issue:10520", + "right": "issue:9045", + "accept": false, + "reason": "Different pipelines and root causes: Sana device mismatch vs StableDiffusion3Pipeline CUDA conversion with accelerate/peft." + }, + { + "left": "issue:1988", + "right": "issue:6162", + "accept": false, + "reason": "Different failures: fp16/bf16 input-vs-bias type mismatch in a trainer example vs IP-Adapter shape mismatch on SDXL." + }, + { + "left": "issue:11185", + "right": "issue:11824", + "accept": false, + "reason": "Different models/pipelines: CogView4 image generation error vs FluxKontextPipeline multi-image input error." + }, + { + "left": "issue:2596", + "right": "issue:5025", + "accept": false, + "reason": "Docs bug vs runtime import bug: nonexistent load_image reference in docs versus missing randn_tensor import." + }, + { + "left": "issue:3910", + "right": "issue:8237", + "accept": false, + "reason": "Related to LoRA loading, but one is a generic load failure and the other is a specific missing key for SDXL LoRA weights." + }, + { + "left": "issue:5458", + "right": "issue:7185", + "accept": false, + "reason": "Different topics: local_files_only not respected in LoRA state dict loading vs a question about PyTorch 2.2 support." + }, + { + "left": "issue:5862", + "right": "issue:9515", + "accept": false, + "reason": "Different architecture features: gradient checkpointing support in Transformer2DModel vs missing RMSNorm in JointAttnProcessor2_0." + }, + { + "left": "issue:6791", + "right": "issue:7114", + "accept": false, + "reason": "Same script family, but 'can't run' is too broad while the other is specifically CUDA OOM; not the same underlying bug." + }, + { + "left": "issue:12348", + "right": "issue:12536", + "accept": false, + "reason": "Both are WanImageToVideoPipeline shape issues, but one is a resolution-dependent tensor mismatch and the other is a context-parallel sharding divisibility assertion." + }, + { + "left": "issue:11046", + "right": "issue:8450", + "accept": false, + "reason": "Different problems: Flux pipeline inference with controlnet/inpainting/ip-adapter vs SDXL inpainting noise at strength 1.0." + }, + { + "left": "issue:5227", + "right": "issue:7420", + "accept": false, + "reason": "Both mention torch.compile, but one is a LoRA weight-loading bug under compile and the other is a general inability to use torch.compile." + }, + { + "left": "issue:2603", + "right": "issue:2673", + "accept": false, + "reason": "Different concerns: non-square image support in Attend-And-Excite vs a StableDiffusionUpscalePipeline config/image validation error." + }, + { + "left": "issue:7229", + "right": "issue:9237", + "accept": false, + "reason": "Different training issues: checkpoint saving failure vs Flux Dreambooth LoRA training failure." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 167, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10575", + "issue:10972", + "issue:11103", + "issue:11209", + "issue:11224", + "issue:12319", + "issue:12329", + "issue:12565", + "issue:12673", + "issue:1304", + "issue:1647", + "issue:2185", + "issue:2210", + "issue:2645", + "issue:2689", + "issue:2841", + "issue:3111", + "issue:3347", + "issue:3382", + "issue:3689", + "issue:3724", + "issue:4080", + "issue:4354", + "issue:4639", + "issue:4647", + "issue:4667", + "issue:4701", + "issue:4837", + "issue:5170", + "issue:5226", + "issue:5337", + "issue:5387", + "issue:5593", + "issue:5647", + "issue:6415", + "issue:6610", + "issue:6713", + "issue:6731", + "issue:6758", + "issue:7214", + "issue:7441", + "issue:7592", + "issue:7974", + "issue:8541", + "issue:8615", + "issue:9454", + "issue:9729" + ], + "soft_pairs": [ + "issue:10575|issue:7214", + "issue:10972|issue:11209", + "issue:10972|issue:11224", + "issue:2185|issue:3347", + "issue:2645|issue:4701", + "issue:2841|issue:3724", + "issue:12319|issue:12673", + "issue:4837|issue:6713", + "issue:6415|issue:7974", + "issue:12329|issue:12565", + "issue:5226|issue:7592", + "issue:5647|issue:6610", + "issue:11103|issue:1647", + "issue:1304|issue:5337", + "issue:2210|issue:3111", + "issue:2645|issue:5593", + "issue:2689|issue:5387", + "issue:3689|issue:5170", + "issue:4080|issue:8615", + "issue:4354|issue:4667", + "issue:4647|issue:7441", + "issue:5226|issue:6758", + "issue:6731|issue:9729", + "issue:8541|issue:9454", + "issue:3382|issue:4639" + ], + "prepared_review_unit_hash": "43a97a56fd019c7dfa3402ceaffa07a051c38516584260a6771aee5f425f1192", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33543, + "estimated_input_tokens": 8386, + "estimated_eval_tokens": 17028 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are only loosely related by shared subsystem or wording. The only clear duplicate-like pair is the LoRA unload/remove request (3689 and 5170); the rest should stay separate.", + "confidence": 0.83, + "canonical_issue_reason": "issue:3689 is the clearest canonical for the LoRA unload/remove request: it explicitly asks to unload weights after load_lora_weights and has more discussion detail than 5170.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3689 is the most representative concrete issue in the set for the one true duplicate cluster, with 5170 reading like a shorter rephrasing of the same request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10575", + "right": "issue:7214", + "accept": false, + "reason": "Same scheduler family, but the bug reports are different: one is an IndexError, the other is a Karras-sigmas regression." + }, + { + "left": "issue:10972", + "right": "issue:11209", + "accept": false, + "reason": "Both are LoRA-loading problems, but 10972 is specifically about OneTrainer Flux LoRAs while 11209 is a generic loading error." + }, + { + "left": "issue:10972", + "right": "issue:11224", + "accept": false, + "reason": "Same as above: related area, but not enough evidence of the same underlying LoRA-loading bug." + }, + { + "left": "issue:2185", + "right": "issue:3347", + "accept": false, + "reason": "Training config files missing and NaN image output are different failure modes with no clear shared root cause." + }, + { + "left": "issue:2645", + "right": "issue:4701", + "accept": false, + "reason": "Both mention CUDA errors, but they affect different components and platforms; not the same concrete bug." + }, + { + "left": "issue:2841", + "right": "issue:3724", + "accept": false, + "reason": "One is a scheduler feature request, the other is a watermarking-module proposal; unrelated." + }, + { + "left": "issue:12319", + "right": "issue:12673", + "accept": false, + "reason": "Both involve group offloading, but the pipelines and symptoms differ enough that they do not look like the same bug." + }, + { + "left": "issue:4837", + "right": "issue:6713", + "accept": false, + "reason": "Both touch conversion scripts, but one is an SDXL conversion failure and the other is a HeaderTooLarge parsing issue." + }, + { + "left": "issue:6415", + "right": "issue:7974", + "accept": false, + "reason": "Both involve IP-Adapter/FaceID, but one is a support request and the other is an inpaint bug; different issues." + }, + { + "left": "issue:12329", + "right": "issue:12565", + "accept": false, + "reason": "Both are Wan2.1-related, but one is a model-loading misclassification and the other is a runtime i2v running issue." + }, + { + "left": "issue:5226", + "right": "issue:7592", + "accept": false, + "reason": "Both are LoRA-adjacent, but load_lora_weights for an adapter pipeline and DoRA state_dict loading are different code paths." + }, + { + "left": "issue:5647", + "right": "issue:6610", + "accept": false, + "reason": "Same pipeline family, but strength==1 behavior and num_in_channels being ignored are distinct bugs." + }, + { + "left": "issue:11103", + "right": "issue:1647", + "accept": false, + "reason": "A repo-selection question and a color-correction PT question are unrelated." + }, + { + "left": "issue:1304", + "right": "issue:5337", + "accept": false, + "reason": "Training text-guided image-to-image and a question about callback behavior are unrelated." + }, + { + "left": "issue:2210", + "right": "issue:3111", + "accept": false, + "reason": "Text-encoder training for LoRA and custom conditioning encoder support are different feature requests." + }, + { + "left": "issue:2645", + "right": "issue:5593", + "accept": false, + "reason": "Both mention ControlNet, but one is a CUDA-on-mac failure and the other is an AutoPipeline wrapping issue." + }, + { + "left": "issue:2689", + "right": "issue:5387", + "accept": false, + "reason": "Broken image link and broken documentation link are not the same issue." + }, + { + "left": "issue:3689", + "right": "issue:5170", + "accept": true, + "reason": "These are the same underlying request: unload/remove LoRA weights after loading them." + }, + { + "left": "issue:4080", + "right": "issue:8615", + "accept": false, + "reason": "An SDXL inpainting-pipeline request and Stable Diffusion 3 fuse_lora support are unrelated." + }, + { + "left": "issue:4354", + "right": "issue:4667", + "accept": false, + "reason": "Both involve from_single_file, but the pipeline types and symptoms differ: wrong return type vs outright failure." + }, + { + "left": "issue:4647", + "right": "issue:7441", + "accept": false, + "reason": "A model architecture bug and a Python 3.12 pytest failure are unrelated." + }, + { + "left": "issue:5226", + "right": "issue:6758", + "accept": false, + "reason": "Same adapter pipeline, but load_lora_weights support and num_images_per_prompt support are different bugs." + }, + { + "left": "issue:6731", + "right": "issue:9729", + "accept": false, + "reason": "Unhandled pipeline-class errors and an unexpected T5EncoderModel save-model error are different code paths." + }, + { + "left": "issue:8541", + "right": "issue:9454", + "accept": false, + "reason": "Both are repository/model-not-found errors, but for different models and URLs; not the same bug." + }, + { + "left": "issue:3382", + "right": "issue:4639", + "accept": false, + "reason": "Multi-GPU OOM during training and a dataloader multiprocessing error are different problems." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The evaluation is well grounded in the packet and stays conservative on the soft-edge pairs. The only clearly duplicate-like pair from the available titles is issue:3689 / issue:5170, and the rationale for choosing 3689 as canonical is supported by its longer discussion thread. The other pairs are rejected with appropriately cautious wording rather than overclaiming shared root cause." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 168, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10198", + "issue:10472", + "issue:10540", + "issue:10795", + "issue:11436", + "issue:11584", + "issue:11824", + "issue:11864", + "issue:11978", + "issue:12104", + "issue:13079", + "issue:13107", + "issue:13300", + "issue:1388", + "issue:1692", + "issue:1717", + "issue:1976", + "issue:2163", + "issue:2234", + "issue:2244", + "issue:3250", + "issue:3468", + "issue:4185", + "issue:4340", + "issue:4366", + "issue:4398", + "issue:4702", + "issue:5442", + "issue:5919", + "issue:6258", + "issue:6335", + "issue:6407", + "issue:6914", + "issue:6949", + "issue:7330", + "issue:7355", + "issue:7793", + "issue:7985", + "issue:8532", + "issue:8626", + "issue:8887", + "issue:8922", + "issue:9069", + "issue:9112", + "issue:9523", + "issue:954", + "issue:9744", + "issue:9857" + ], + "soft_pairs": [ + "issue:4185|issue:6949", + "issue:11584|issue:7985", + "issue:1692|issue:5919", + "issue:5442|issue:6407", + "issue:6914|issue:8626", + "issue:10795|issue:11864", + "issue:13300|issue:7355", + "issue:12104|issue:9112", + "issue:13079|issue:13107", + "issue:10198|issue:10540", + "issue:7793|issue:8532", + "issue:1976|issue:2234", + "issue:2163|issue:7330", + "issue:2244|issue:3468", + "issue:11978|issue:9744", + "issue:4702|issue:8887", + "issue:9523|issue:9857", + "issue:10472|issue:9069", + "issue:4340|issue:4398", + "issue:1717|issue:954", + "issue:11436|issue:11824", + "issue:6258|issue:8922", + "issue:3250|issue:6335", + "issue:1388|issue:4366" + ], + "prepared_review_unit_hash": "2a9c66bfb3f04e866f813f9c269e86c19835ce7b51f2ac93cd64222defb13c26", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34383, + "estimated_input_tokens": 8596, + "estimated_eval_tokens": 17448 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set; it contains many unrelated issues across different models, pipelines, and failure modes. I rejected every soft edge because the paired items do not describe the same concrete bug or change.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical duplicate stands out because the items are mostly unrelated. If one issue must be chosen as representative, issue 10540 is the clearest concrete regression report.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10540 is the most actionable and specific bug report in the set: it names the affected Flux Dev from_single_file path and a concrete regression trigger.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4185", + "right": "issue:6949", + "accept": false, + "reason": "Different bugs: SDXL ControlNet black images versus DPMSolverSinglestep blank images at even steps." + }, + { + "left": "issue:11584", + "right": "issue:7985", + "accept": false, + "reason": "Both mention torch.compile, but one is group offloading on hunyuanvideo_frampack and the other is IP-Adapter compatibility; different code paths." + }, + { + "left": "issue:1692", + "right": "issue:5919", + "accept": false, + "reason": "Unrelated failures: pickling a local lambda versus missing set_lora_layer on Linear." + }, + { + "left": "issue:5442", + "right": "issue:6407", + "accept": false, + "reason": "Different scope entirely: ScaleCrafter pipeline feature versus AnyText model addition." + }, + { + "left": "issue:6914", + "right": "issue:8626", + "accept": false, + "reason": "One is a runtime tuple/shape bug with cpu offload; the other is guidance/docs for multiple IP-Adapter images and masks." + }, + { + "left": "issue:10795", + "right": "issue:11864", + "accept": false, + "reason": "Different problems: torch.compile with GGUF from_single_file versus AutoencoderDC.encode failing because torch is undefined." + }, + { + "left": "issue:13300", + "right": "issue:7355", + "accept": false, + "reason": "Different models and errors: CPU failures on SD3/Flux versus Stable Cascade bfloat16/arbitrary-resolution issues." + }, + { + "left": "issue:12104", + "right": "issue:9112", + "accept": false, + "reason": "Generic IndexError versus a specific Auraflow tensor-size mismatch; not the same bug." + }, + { + "left": "issue:13079", + "right": "issue:13107", + "accept": false, + "reason": "OOM in a Flux.2-klein loop versus LoRA missing-key errors; different failure modes and workflows." + }, + { + "left": "issue:10198", + "right": "issue:10540", + "accept": false, + "reason": "Both are Flux-related, but one is a weight mismatch and the other is a from_single_file regression after Flux Fill support; not the same concrete issue." + }, + { + "left": "issue:7793", + "right": "issue:8532", + "accept": false, + "reason": "Both involve LoRA weights, but unloading errors and progressive memory growth are distinct bugs." + }, + { + "left": "issue:1976", + "right": "issue:2234", + "accept": false, + "reason": "Incorrect tokenizer file lookup versus finetuning failure with xformers attention; unrelated." + }, + { + "left": "issue:2163", + "right": "issue:7330", + "accept": false, + "reason": "Different training issues: UNet dtype mismatch versus FP16 gradient unscale error." + }, + { + "left": "issue:2244", + "right": "issue:3468", + "accept": false, + "reason": "Half-precision CPU runtime error versus Dreambooth not writing model_index.json; unrelated." + }, + { + "left": "issue:11978", + "right": "issue:9744", + "accept": false, + "reason": "Two separate model-addition requests: Bria 3.2 versus Mochi Video." + }, + { + "left": "issue:4702", + "right": "issue:8887", + "accept": false, + "reason": "VQ-VAE example request versus SD3 training VAE bug; different artifacts and goals." + }, + { + "left": "issue:9523", + "right": "issue:9857", + "accept": false, + "reason": "Broad controlnet training mapping issue versus a specific FLUX controlnet embedding-size mismatch." + }, + { + "left": "issue:10472", + "right": "issue:9069", + "accept": false, + "reason": "LoRA bias constructor error versus NumPy ndarray type mismatch; unrelated." + }, + { + "left": "issue:4340", + "right": "issue:4398", + "accept": false, + "reason": "Both are SDXL LoRA-related, but one is a training_text_encoder error and the other is black-image generation in Dreambooth; not the same bug." + }, + { + "left": "issue:1717", + "right": "issue:954", + "accept": false, + "reason": "Offline cache loading bug versus post-login loading failure; different conditions and causes." + }, + { + "left": "issue:11436", + "right": "issue:11824", + "accept": false, + "reason": "HiDream dtype mismatch versus FluxKontext multi-image input failure; different models and errors." + }, + { + "left": "issue:6258", + "right": "issue:8922", + "accept": false, + "reason": "Stable Video Diffusion forward-chunking quality regression versus SD3 quantized T5 black-image issue." + }, + { + "left": "issue:3250", + "right": "issue:6335", + "accept": false, + "reason": "StableDiffusionKDiffusionPipeline runtime failure versus img2img output-size parameter handling; unrelated." + }, + { + "left": "issue:1388", + "right": "issue:4366", + "accept": false, + "reason": "SD2 conversion script adaptation request versus SDXL full U-Net fine-tuning issue; different tasks." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 169, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10804", + "issue:1092", + "issue:10954", + "issue:11464", + "issue:11819", + "issue:12120", + "issue:12195", + "issue:1717", + "issue:222", + "issue:2324", + "issue:2822", + "issue:2947", + "issue:3112", + "issue:3468", + "issue:3623", + "issue:3824", + "issue:3937", + "issue:4117", + "issue:4183", + "issue:4194", + "issue:4332", + "issue:4340", + "issue:4520", + "issue:4727", + "issue:5226", + "issue:5474", + "issue:5488", + "issue:5545", + "issue:5647", + "issue:5862", + "issue:5897", + "issue:6093", + "issue:6203", + "issue:6839", + "issue:7041", + "issue:7223", + "issue:7377", + "issue:7644", + "issue:7681", + "issue:817", + "issue:8309", + "issue:8567", + "issue:8668", + "issue:8708", + "issue:8900", + "issue:9142", + "issue:9270" + ], + "soft_pairs": [ + "issue:2822|issue:6093", + "issue:5488|issue:8668", + "issue:5226|issue:5862", + "issue:10804|issue:9270", + "issue:1092|issue:4520", + "issue:3112|issue:5474", + "issue:3824|issue:6203", + "issue:3937|issue:4194", + "issue:4332|issue:7644", + "issue:4727|issue:5545", + "issue:5647|issue:7041", + "issue:4340|issue:5897", + "issue:6839|issue:8900", + "issue:1717|issue:3623", + "issue:3468|issue:4117", + "issue:2324|issue:817", + "issue:12195|issue:7681", + "issue:2947|issue:9142", + "issue:8567|issue:8708", + "issue:10954|issue:11464", + "issue:4183|issue:7377", + "issue:11819|issue:12120", + "issue:222|issue:4117", + "issue:7223|issue:8309" + ], + "prepared_review_unit_hash": "9a1f5fd73c6deb610809ea87217e8ca772649a49f42414b93bf952fd19bde8d0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33450, + "estimated_input_tokens": 8363, + "estimated_eval_tokens": 16982 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a loose theme around LoRA/FLUX/model-loading and training questions, not one duplicate bug. The only strong duplicate-looking pair is the two nearly identical comfy-ui FLUX1.dev LoRA load failures (10804 and 10954).", + "confidence": 0.88, + "canonical_issue_reason": "issue:10804 is the clearest anchor for the only true near-duplicate pair in the set; it is the earlier, broader FLUX1.dev LoRA load-failure report and best represents that bug cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11464 is the most concrete and actionable bug report in the set because it names the exact model and pipeline (FLUX.1-Canny-dev-lora / FluxControlPipeline), though it is still distinct from the comfy-ui FLUX1.dev reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2822", + "right": "issue:6093", + "accept": false, + "reason": "Both mention training scripts, but one is about slow ControlNet convergence and the other about push_to_hub behavior in an SDXL consistency LoRA script; different bugs." + }, + { + "left": "issue:5488", + "right": "issue:8668", + "accept": false, + "reason": "Generic demo-code failure vs SD3 img2img alignment bug; no shared concrete code path." + }, + { + "left": "issue:5226", + "right": "issue:5862", + "accept": false, + "reason": "Load_lora_weights on an adapter pipeline is unrelated to gradient checkpointing support in Transformer2DModel." + }, + { + "left": "issue:10804", + "right": "issue:9270", + "accept": false, + "reason": "Both are FLUX LoRA-related, but one is a specific comfy-ui load failure and the other is broad missing support from SimpleTuner; not the same underlying bug." + }, + { + "left": "issue:1092", + "right": "issue:4520", + "accept": false, + "reason": "Attention slicing with Euler is unrelated to LoRA scale behavior under attention slicing." + }, + { + "left": "issue:3112", + "right": "issue:5474", + "accept": false, + "reason": "Multi-ControlNet inpainting and a proposed new reference-only pipeline are different features, not the same bug or change." + }, + { + "left": "issue:3824", + "right": "issue:6203", + "accept": false, + "reason": "A general question about inpaint pipeline variants is unrelated to SDXL ControlNet image-size conditioning." + }, + { + "left": "issue:3937", + "right": "issue:4194", + "accept": false, + "reason": "ZeroscopeXL behaving as a normal model is a different pipeline/model issue than VAE handling in from_single_file." + }, + { + "left": "issue:4332", + "right": "issue:7644", + "accept": false, + "reason": "xformers support for Kandinsky2.2 is unrelated to non-power-of-two Stable Cascade image size failures." + }, + { + "left": "issue:4727", + "right": "issue:5545", + "accept": false, + "reason": "local_files_only auto-pipeline breakage is unrelated to a StableDiffusionInpaintPipeline usage problem." + }, + { + "left": "issue:5647", + "right": "issue:7041", + "accept": false, + "reason": "Both mention runtime failures, but one is a specific SDXL inpaint strength==1 edge case and the other is a segfault when steps > 1; different defects." + }, + { + "left": "issue:4340", + "right": "issue:5897", + "accept": false, + "reason": "SDXL LoRA training with train_text_encoder and device-mismatch in train_text_to_image_lora.py are separate training bugs." + }, + { + "left": "issue:6839", + "right": "issue:8900", + "accept": false, + "reason": "Both are from_single_file questions, but one is Stable Video Diffusion and the other is SDXL refiner loading; different models and code paths." + }, + { + "left": "issue:1717", + "right": "issue:3623", + "accept": false, + "reason": "Offline cached-model loading and larger-model loading are not the same bug." + }, + { + "left": "issue:3468", + "right": "issue:4117", + "accept": false, + "reason": "Dreambooth model_index.json generation and SDXL Dreambooth not working are related only at a high level, not the same underlying issue." + }, + { + "left": "issue:2324", + "right": "issue:817", + "accept": false, + "reason": "Dreambooth instance-data reading and mixed precision issues are distinct training bugs." + }, + { + "left": "issue:12195", + "right": "issue:7681", + "accept": false, + "reason": "Torch custom_op import failure in one environment is unrelated to a lib/X509 import failure in another." + }, + { + "left": "issue:2947", + "right": "issue:9142", + "accept": false, + "reason": "Missing load_attn_procs on UNet2DConditionModel is unrelated to Hunyuan DiT multi-controlnet list handling." + }, + { + "left": "issue:8567", + "right": "issue:8708", + "accept": false, + "reason": "SD3 training objective correctness and missing vae.config.shift_factor in dreambooth examples are different SD3 training questions." + }, + { + "left": "issue:10954", + "right": "issue:11464", + "accept": false, + "reason": "Both are FLUX LoRA load problems, but one is a comfy-ui compatible FLUX1.dev LoRA failing to load and the other is a specific Canny-dev LoRA failing in FluxControlPipeline; close theme, not the same concrete bug." + }, + { + "left": "issue:4183", + "right": "issue:7377", + "accept": false, + "reason": "ControlNet guidance_scale<=1 error is unrelated to StableCascadeDecoderPipeline with num_images_per_prompt > 1." + }, + { + "left": "issue:11819", + "right": "issue:12120", + "accept": false, + "reason": "A FLUX Kontext training script request is not the same as a question about training LoRAs on distilled flux-schnell." + }, + { + "left": "issue:222", + "right": "issue:4117", + "accept": false, + "reason": "A generic training RuntimeError is not the same as SDXL Dreambooth failing." + }, + { + "left": "issue:7223", + "right": "issue:8309", + "accept": false, + "reason": "Latte video-generation support and conditional diffusion distillation are different feature requests." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 170, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10210", + "issue:10518", + "issue:10722", + "issue:10967", + "issue:11182", + "issue:11256", + "issue:11489", + "issue:12022", + "issue:12535", + "issue:1807", + "issue:1985", + "issue:2244", + "issue:2296", + "issue:2392", + "issue:2462", + "issue:2806", + "issue:2844", + "issue:2904", + "issue:3040", + "issue:3175", + "issue:3774", + "issue:3799", + "issue:3802", + "issue:3954", + "issue:4306", + "issue:4480", + "issue:4566", + "issue:4726", + "issue:5226", + "issue:5577", + "issue:5862", + "issue:6107", + "issue:6110", + "issue:6324", + "issue:6382", + "issue:6518", + "issue:6548", + "issue:730", + "issue:7589", + "issue:760", + "issue:7644", + "issue:8228", + "issue:8305", + "issue:8588", + "issue:8950", + "issue:9142", + "issue:9156", + "issue:9673" + ], + "soft_pairs": [ + "issue:5577|issue:8228", + "issue:5226|issue:6110", + "issue:10210|issue:6548", + "issue:3175|issue:3774", + "issue:10722|issue:7644", + "issue:4566|issue:8950", + "issue:6107|issue:6382", + "issue:10518|issue:8588", + "issue:11489|issue:9156", + "issue:2244|issue:2844", + "issue:4306|issue:8305", + "issue:5862|issue:7589", + "issue:3802|issue:3954", + "issue:11182|issue:9673", + "issue:10967|issue:11256", + "issue:12022|issue:12535", + "issue:2392|issue:6518", + "issue:4480|issue:760", + "issue:1807|issue:2296", + "issue:1985|issue:2462", + "issue:2806|issue:730", + "issue:2904|issue:9142", + "issue:3040|issue:6324", + "issue:3799|issue:4726" + ], + "prepared_review_unit_hash": "e602910496bf47fff96d40ba0ef5858cd72e2db8cec81f956ac487e8899c462d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34555, + "estimated_input_tokens": 8639, + "estimated_eval_tokens": 17534 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set does not look like one duplicate cluster: it mixes unrelated bug reports, feature requests, and training/inference issues across many different pipelines and scripts. The soft pairs are mostly superficial keyword matches and should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "If a single issue must be highlighted, #10210 is the clearest concrete bug report with a specific, user-visible symptom and a well-scoped pipeline context.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5577", + "right": "issue:8228", + "accept": false, + "reason": "Different loaders and failures: ControlNet single-file key error vs CLIPTextModel loading failure." + }, + { + "left": "issue:5226", + "right": "issue:6110", + "accept": false, + "reason": "Both mention load_lora_weights, but one is SDXLAdapter compatibility and the other is offline loading behavior; not the same bug." + }, + { + "left": "issue:10210", + "right": "issue:6548", + "accept": false, + "reason": "Both involve img2img behavior, but one is Flux output staying too close to input and the other is RGBA images being misread as latents." + }, + { + "left": "issue:3175", + "right": "issue:3774", + "accept": false, + "reason": "Different training problems: multi-face DreamBooth behavior vs ZeRO-3 not reducing memory in text-to-image training." + }, + { + "left": "issue:10722", + "right": "issue:7644", + "accept": false, + "reason": "Tensor-size mismatch during DreamBooth prior preservation is unrelated to non-power-of-2 image failures in Stable Cascade." + }, + { + "left": "issue:4566", + "right": "issue:8950", + "accept": false, + "reason": "Both are LoRA training-related, but one is checkpoint resume for SDXL and the other is an SD3 LoRA training bug." + }, + { + "left": "issue:6107", + "right": "issue:6382", + "accept": false, + "reason": "Both mention IP-Adapter, but the reported failures are different: environment-specific app behavior vs a post-training key error." + }, + { + "left": "issue:10518", + "right": "issue:8588", + "accept": false, + "reason": "Example-script issue versus a missing conversion script; not the same underlying bug." + }, + { + "left": "issue:11489", + "right": "issue:9156", + "accept": false, + "reason": "Flux LoRA training error and Flux LoRA training OOM are different failure modes and not clearly the same code-path bug." + }, + { + "left": "issue:2244", + "right": "issue:2844", + "accept": false, + "reason": "DreamBooth half-precision CPU error and StableUnCLIP image-embeds runtime error are unrelated." + }, + { + "left": "issue:4306", + "right": "issue:8305", + "accept": false, + "reason": "Reference pipeline list-index error is unrelated to TCDScheduler eta validation." + }, + { + "left": "issue:5862", + "right": "issue:7589", + "accept": false, + "reason": "Gradient checkpointing support for Transformer2DModel is unrelated to GLIGEN layout-to-image failures." + }, + { + "left": "issue:3802", + "right": "issue:3954", + "accept": false, + "reason": "Checkpoint-limit handling and learning-rate step counting are separate training-example bugs." + }, + { + "left": "issue:11182", + "right": "issue:9673", + "accept": false, + "reason": "Unnecessary BF16 variant download and high CPU usage when loading multiple LoRAs are unrelated performance/loading issues." + }, + { + "left": "issue:10967", + "right": "issue:11256", + "accept": false, + "reason": "Distinct feature requests for different research models; no shared bug/change." + }, + { + "left": "issue:12022", + "right": "issue:12535", + "accept": false, + "reason": "Flash-attention interface compatibility and Wan2.2 LoRA loading are unrelated." + }, + { + "left": "issue:2392", + "right": "issue:6518", + "accept": false, + "reason": "Img2img prompt_embeds validation bug and NoneType division in an LCM distillation script are different issues." + }, + { + "left": "issue:4480", + "right": "issue:760", + "accept": false, + "reason": "Both are MPS-related, but one is a kernel crash with float16 and the other is unexpected output behavior; not the same bug." + }, + { + "left": "issue:1807", + "right": "issue:2296", + "accept": false, + "reason": "Inference slowdown over generations and xformers attention not working on T4 are unrelated." + }, + { + "left": "issue:1985", + "right": "issue:2462", + "accept": false, + "reason": "Loading embeddings and IterableDataset finetuning support are different feature requests." + }, + { + "left": "issue:2806", + "right": "issue:730", + "accept": false, + "reason": "Pipeline printing/customization issue is unrelated to DreamBooth training behavior on local machines." + }, + { + "left": "issue:2904", + "right": "issue:9142", + "accept": false, + "reason": "AudioLDM scheduler NoneType error and Hunyuan DiT multiple-ControlNet type error are unrelated." + }, + { + "left": "issue:3040", + "right": "issue:6324", + "accept": false, + "reason": "Similar error shape, but list-vs-bool module introspection failures in different contexts are not enough to treat as the same bug." + }, + { + "left": "issue:3799", + "right": "issue:4726", + "accept": false, + "reason": "These are both typing-related, but one concerns scheduler inference typing and the other callback typing in __call__." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 171, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10040", + "issue:10180", + "issue:1061", + "issue:10772", + "issue:11178", + "issue:11547", + "issue:12012", + "issue:12029", + "issue:12078", + "issue:12499", + "issue:1264", + "issue:2326", + "issue:2364", + "issue:2548", + "issue:2786", + "issue:3645", + "issue:3660", + "issue:4206", + "issue:4229", + "issue:4488", + "issue:4639", + "issue:4667", + "issue:4724", + "issue:4868", + "issue:4892", + "issue:4935", + "issue:499", + "issue:5150", + "issue:5295", + "issue:5840", + "issue:5862", + "issue:593", + "issue:6110", + "issue:6196", + "issue:6602", + "issue:6801", + "issue:6894", + "issue:7053", + "issue:7185", + "issue:7303", + "issue:7392", + "issue:7466", + "issue:7785", + "issue:8543", + "issue:8726", + "issue:9187", + "issue:9267", + "issue:9421" + ], + "soft_pairs": [ + "issue:4488|issue:4667", + "issue:5840|issue:6894", + "issue:7303|issue:7392", + "issue:2364|issue:499", + "issue:4868|issue:9267", + "issue:6801|issue:7785", + "issue:6110|issue:9187", + "issue:2326|issue:2548", + "issue:4229|issue:4639", + "issue:10180|issue:12078", + "issue:4206|issue:7466", + "issue:7053|issue:7185", + "issue:12012|issue:12499", + "issue:10040|issue:9421", + "issue:2786|issue:4935", + "issue:11178|issue:12029", + "issue:4892|issue:5295", + "issue:1061|issue:593", + "issue:10772|issue:11547", + "issue:1264|issue:3645", + "issue:3660|issue:4724", + "issue:5150|issue:5862", + "issue:6196|issue:6602", + "issue:8543|issue:8726" + ], + "prepared_review_unit_hash": "ce82e791f51c90d269e79ef717bb9d2ca2c8221af8b72ef74f9b5b5e370044b1", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33968, + "estimated_input_tokens": 8492, + "estimated_eval_tokens": 17240 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is not a single duplicate cluster: the items span many unrelated bugs and feature requests across SD3, Flux, Wan, ControlNet, LoRA, schedulers, and training examples. I would not merge any of the soft-edge pairs as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": "No single issue is a valid canonical here; the set is heterogeneous and does not share one underlying bug or change.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue fits the cluster well; any one issue would misrepresent the mixed topics and failure modes.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4488", + "right": "issue:4667", + "accept": false, + "reason": "Both mention from_single_file, but one is SDXL checkpoint loading without pipeline_class and the other is generic StableDiffusionPipeline from_single_file failure in 0.20.0; different code paths." + }, + { + "left": "issue:5840", + "right": "issue:6894", + "accept": false, + "reason": "Both are LoRA-related, but one is resume-training/freezing in an SDXL DreamBooth script and the other is an exported LoRA not working in A1111; not the same bug." + }, + { + "left": "issue:7303", + "right": "issue:7392", + "accept": false, + "reason": "Scheduler zero_snr support and multi-aspect-ratio SDXL training are unrelated." + }, + { + "left": "issue:2364", + "right": "issue:499", + "accept": false, + "reason": "Generic training-script failure vs a specific unconditional training example failure; too broad and not the same underlying issue." + }, + { + "left": "issue:4868", + "right": "issue:9267", + "accept": false, + "reason": "Different AttributeErrors in different components: __getattr__ on a super object vs missing rope in transformer_flux." + }, + { + "left": "issue:6801", + "right": "issue:7785", + "accept": false, + "reason": "Scheduler loading problem and slow first inference are different symptoms and code paths." + }, + { + "left": "issue:6110", + "right": "issue:9187", + "accept": false, + "reason": "Offline LoRA loading and IP-Adapter image_encoder_folder=None behavior are separate loading issues." + }, + { + "left": "issue:2326", + "right": "issue:2548", + "accept": false, + "reason": "LoRA conversion to safetensors/ckpt and LoRA finetuning save errors affect different flows." + }, + { + "left": "issue:4229", + "right": "issue:4639", + "accept": false, + "reason": "Multi-GPU DreamBooth acceleration error and multiprocessing dataloader error in a different training script are not the same bug." + }, + { + "left": "issue:10180", + "right": "issue:12078", + "accept": false, + "reason": "Flux Control LoRA multiple-LoRA loading and validation-input example feedback are different problems." + }, + { + "left": "issue:4206", + "right": "issue:7466", + "accept": false, + "reason": "ControlNet training broken on main vs torch.compile failure for multi-controlnet in SDXL inpaint; related area, but different concrete failures." + }, + { + "left": "issue:7053", + "right": "issue:7185", + "accept": false, + "reason": "UNet3D class conditioning support and PyTorch 2.2 compatibility are unrelated." + }, + { + "left": "issue:12012", + "right": "issue:12499", + "accept": false, + "reason": "Wan 2.2 context-state cache error and Wan 2.2 I2V shape mismatch are distinct defects." + }, + { + "left": "issue:10040", + "right": "issue:9421", + "accept": false, + "reason": "Grey images in Stable Diffusion 3 and inability to access an inpainting model are unrelated." + }, + { + "left": "issue:2786", + "right": "issue:4935", + "accept": false, + "reason": "Depth2Img numpy/transformers compatibility and a LoRA layer question in SDXL training are unrelated." + }, + { + "left": "issue:11178", + "right": "issue:12029", + "accept": false, + "reason": "Both are model-loading issues, but with different models and likely different loaders/code paths." + }, + { + "left": "issue:4892", + "right": "issue:5295", + "accept": false, + "reason": "TokenFlow video editing and LaVie video generation are different pipelines and changes." + }, + { + "left": "issue:1061", + "right": "issue:593", + "accept": false, + "reason": "Example instruction text update and repeated-image behavior in high-res diffusion are unrelated." + }, + { + "left": "issue:10772", + "right": "issue:11547", + "accept": false, + "reason": "Both request ControlNet support, but for different model families (Sana vs Flux fill) and not the same implementation change." + }, + { + "left": "issue:1264", + "right": "issue:3645", + "accept": false, + "reason": "Hard-coded scheduler in dreambooth and controlnet inpaint training guidance are unrelated." + }, + { + "left": "issue:3660", + "right": "issue:4724", + "accept": false, + "reason": "torch.compile with LoRA/xformers and SDXL img2img checkpoint behavior are different problems." + }, + { + "left": "issue:5150", + "right": "issue:5862", + "accept": false, + "reason": "Missing from_single_file on an upscale pipeline and lack of gradient checkpointing in Transformer2DModel are unrelated." + }, + { + "left": "issue:6196", + "right": "issue:6602", + "accept": false, + "reason": "ControlNetXS loading failure and post-fuse_lora save/load error involve different models and failure points." + }, + { + "left": "issue:8543", + "right": "issue:8726", + "accept": false, + "reason": "Both are SD3 DreamBooth topics, but one is gradient-checkpointing failure and the other is text-encoder errors; not the same concrete bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 172, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1100", + "issue:11700", + "issue:1197", + "issue:12195", + "issue:12535", + "issue:12575", + "issue:12689", + "issue:1271", + "issue:13142", + "issue:1350", + "issue:1544", + "issue:1616", + "issue:234", + "issue:2465", + "issue:2549", + "issue:2599", + "issue:2618", + "issue:2707", + "issue:3124", + "issue:3221", + "issue:3325", + "issue:3391", + "issue:3420", + "issue:347", + "issue:3660", + "issue:4080", + "issue:4185", + "issue:4325", + "issue:4664", + "issue:5103", + "issue:5379", + "issue:5442", + "issue:5544", + "issue:5905", + "issue:6492", + "issue:6722", + "issue:6911", + "issue:7592", + "issue:8493", + "issue:8532", + "issue:8555", + "issue:905", + "issue:9134", + "issue:9279", + "issue:9914", + "issue:9953", + "issue:9997" + ], + "soft_pairs": [ + "issue:4664|issue:5544", + "issue:1271|issue:347", + "issue:2707|issue:3325", + "issue:4185|issue:6492", + "issue:3221|issue:3660", + "issue:3420|issue:6911", + "issue:8532|issue:9914", + "issue:12535|issue:12689", + "issue:1197|issue:905", + "issue:234|issue:2549", + "issue:4325|issue:5103", + "issue:6722|issue:8555", + "issue:9134|issue:9997", + "issue:1100|issue:1544", + "issue:12195|issue:13142", + "issue:2465|issue:2599", + "issue:12575|issue:9953", + "issue:11700|issue:9279", + "issue:1350|issue:5442", + "issue:1616|issue:5379", + "issue:2618|issue:3391", + "issue:3124|issue:6911", + "issue:4080|issue:5905", + "issue:7592|issue:8493" + ], + "prepared_review_unit_hash": "25cf40fa8764544b95750e2ba0d551347b2035ccee35f23c580e502b452ab41a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33243, + "estimated_input_tokens": 8311, + "estimated_eval_tokens": 16878 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose thematic grouping around Diffusers loading/pipeline bugs, with many weakly similar titles but no true duplicate pairs. I did not find any soft pair that looks like the same underlying bug/change.", + "confidence": 0.61, + "canonical_issue_reason": "issue:12689 is the clearest, most general representative of the recurring adapter/LoRA-loading theme, with a straightforward bug title and broad applicability compared with the more narrow or unrelated items.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12689 is the best cluster representative because it is a concrete, high-signal bug report about loading LoRA weights, which is the closest common thread among the more similar-looking items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4664", + "right": "issue:5544", + "accept": false, + "reason": "Both mention SDXL and pipeline behavior, but one is a LoRA-loading mismatch and the other is a FreeU disable error; different code paths and symptoms." + }, + { + "left": "issue:1271", + "right": "issue:347", + "accept": false, + "reason": "Both are installation/dependency problems, but one is Dreambooth notebook setup and the other is package resolution for huggingface-hub; not the same bug." + }, + { + "left": "issue:2707", + "right": "issue:3325", + "accept": false, + "reason": "A syntax error in a conversion script and a CUDA runtime error during Dreambooth training are unrelated failures." + }, + { + "left": "issue:4185", + "right": "issue:6492", + "accept": false, + "reason": "Both involve black images, but one is SDXL ControlNet-specific and the other is a broader image-generation symptom with no clear shared root cause." + }, + { + "left": "issue:3221", + "right": "issue:3660", + "accept": false, + "reason": "One is about load_attn_procs on a specific version, the other about torch.compile with LoRA/xformers; different APIs and failure modes." + }, + { + "left": "issue:3420", + "right": "issue:6911", + "accept": false, + "reason": "These cover different model/pipeline behaviors: ControlNet inpaint pipeline issues vs class-label handling in a 3D UNet." + }, + { + "left": "issue:8532", + "right": "issue:9914", + "accept": false, + "reason": "Both relate to LoRA loading, but one is memory growth while loading weights and the other is an Xlabs-trained LoRA compatibility/loading error; not the same concrete defect." + }, + { + "left": "issue:12535", + "right": "issue:12689", + "accept": false, + "reason": "Both are LoRA-loading related, but one is a Wan2.2 Lightning LoRA not loading and the other is generic checkpoint adapter weights not being loaded; too different to merge." + }, + { + "left": "issue:1197", + "right": "issue:905", + "accept": false, + "reason": "These are separate community pipeline feature requests: OpenAI Diffusion Pipeline vs image2image inpainting." + }, + { + "left": "issue:234", + "right": "issue:2549", + "accept": false, + "reason": "Half-precision runtime failure and SD2-based UNet incompatibility are different model issues." + }, + { + "left": "issue:4325", + "right": "issue:5103", + "accept": false, + "reason": "Both mention black images, but the likely causes differ: SDXL runtime warning/cast issue vs zero_snr DDIM behavior." + }, + { + "left": "issue:6722", + "right": "issue:8555", + "accept": false, + "reason": "SigLIP text encoder support and SD3 FP8 text-encoder training are different feature requests." + }, + { + "left": "issue:9134", + "right": "issue:9997", + "accept": false, + "reason": "Both mention Flux LoRAs, but one is a loading issue with SimpleTuner-trained LoRAs and the other is a feature request for new Flux author LoRAs." + }, + { + "left": "issue:1100", + "right": "issue:1544", + "accept": false, + "reason": "Both are attribute errors, but they concern different objects and different runtime paths." + }, + { + "left": "issue:12195", + "right": "issue:13142", + "accept": false, + "reason": "Different dependency-compatibility failures: torch.library.custom_op missing vs transformers 5.1.0 breaking PRXPipeline.from_pretrained()." + }, + { + "left": "issue:2465", + "right": "issue:2599", + "accept": false, + "reason": "A training-recipe question is not the same as a multi-subject Dreambooth quality regression." + }, + { + "left": "issue:12575", + "right": "issue:9953", + "accept": false, + "reason": "Attention backend check errors and quantized-component device-move errors are separate pipeline/runtime issues." + }, + { + "left": "issue:11700", + "right": "issue:9279", + "accept": false, + "reason": "Pruna integration for loading models and dynamic LoRA loading under torch.compile are different changes and different problem statements." + }, + { + "left": "issue:1350", + "right": "issue:5442", + "accept": false, + "reason": "DiffusionDet object detection and ScaleCrafter are unrelated model/pipeline requests." + }, + { + "left": "issue:1616", + "right": "issue:5379", + "accept": false, + "reason": "LPW pipeline support and SpeechToImage are different community pipeline requests." + }, + { + "left": "issue:2618", + "right": "issue:3391", + "accept": false, + "reason": "A ControlNet image-input type issue and a DeepFloyd overexposure problem do not share the same underlying bug." + }, + { + "left": "issue:3124", + "right": "issue:6911", + "accept": false, + "reason": "Stable diffusion model conversion failure and UNet class-label handling are unrelated." + }, + { + "left": "issue:4080", + "right": "issue:5905", + "accept": false, + "reason": "These are separate feature requests for different pipelines/models: SDXL inpainting vs diffusion-GAN." + }, + { + "left": "issue:7592", + "right": "issue:8493", + "accept": false, + "reason": "Both are state_dict loading problems, but one is DoRA-specific key loading and the other is SD3Transformer2DModel shape/key errors; not the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 173, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10928", + "issue:11247", + "issue:11351", + "issue:11584", + "issue:13258", + "issue:1363", + "issue:1616", + "issue:2163", + "issue:2192", + "issue:2250", + "issue:2707", + "issue:2838", + "issue:3177", + "issue:3648", + "issue:3881", + "issue:4520", + "issue:4835", + "issue:5233", + "issue:5509", + "issue:5578", + "issue:5606", + "issue:5687", + "issue:5753", + "issue:5783", + "issue:5862", + "issue:5966", + "issue:6323", + "issue:6351", + "issue:6427", + "issue:6549", + "issue:6561", + "issue:6791", + "issue:6934", + "issue:6974", + "issue:7549", + "issue:7616", + "issue:7619", + "issue:8233", + "issue:8518", + "issue:8732", + "issue:8832", + "issue:8909", + "issue:8958", + "issue:9084", + "issue:9422", + "issue:9534", + "issue:9927", + "issue:9979" + ], + "soft_pairs": [ + "issue:11584|issue:8518", + "issue:6549|issue:6561", + "issue:8732|issue:8909", + "issue:4835|issue:5606", + "issue:6351|issue:8832", + "issue:8958|issue:9534", + "issue:10928|issue:8233", + "issue:2163|issue:2707", + "issue:6427|issue:6934", + "issue:11247|issue:9979", + "issue:3648|issue:3881", + "issue:5753|issue:6323", + "issue:2250|issue:5509", + "issue:1363|issue:1616", + "issue:9422|issue:9927", + "issue:11351|issue:13258", + "issue:2838|issue:5966", + "issue:4520|issue:6974", + "issue:5233|issue:9084", + "issue:5578|issue:5862", + "issue:5783|issue:7549", + "issue:2192|issue:6791", + "issue:3177|issue:7619", + "issue:5687|issue:7616" + ], + "prepared_review_unit_hash": "a71907ae188c30f3f81b73e2c45778fbfa22db55513ffaf6f79d2df47b2c54f2", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34229, + "estimated_input_tokens": 8558, + "estimated_eval_tokens": 17372 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are thematically similar Diffusers issues, but they are not duplicates of the same underlying bug. Only the EMA reports in train_text_to_image_sdxl (5783 and 7549) look like the same issue; the rest should stay separate.", + "confidence": 0.92, + "canonical_issue_reason": "No single canonical issue for the whole set; the only clear duplicate pair is issue:5783 / issue:7549, both about EMA handling in train_text_to_image_sdxl, with 5783 the better anchor because it is earlier and has the fuller discussion.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5783 is the strongest representative of the only true duplicate subcluster (EMA in train_text_to_image_sdxl) and is the most useful anchor for triage.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11584", + "right": "issue:8518", + "accept": false, + "reason": "Both mention torch.compile, but one is about group offloading on hunyuanvideo_frampack and the other is an SD3 compile unsupported-op error; different code paths." + }, + { + "left": "issue:6549", + "right": "issue:6561", + "accept": false, + "reason": "LoRA/IP-Adapter warning about lora_weight differs from a missing image_encoder config.json load failure." + }, + { + "left": "issue:8732", + "right": "issue:8909", + "accept": false, + "reason": "Both are training/checkpointing related, but one is an advanced SD1.5 checkpoint-save issue and the other is saving text_encoder_ti in dreambooth lora." + }, + { + "left": "issue:4835", + "right": "issue:5606", + "accept": false, + "reason": "MultiControlNet img2img bug vs LoRA alpha loading bug; no shared failing code path." + }, + { + "left": "issue:6351", + "right": "issue:8832", + "accept": false, + "reason": "DDP disable_adapters error in LCM distillation is unrelated to a generic pipe(prompt).images[0] crash." + }, + { + "left": "issue:8958", + "right": "issue:9534", + "accept": false, + "reason": "PyTorch register_fake compatibility issue vs FluxMultiControlNetModel missing config attribute; different failures." + }, + { + "left": "issue:10928", + "right": "issue:8233", + "accept": false, + "reason": "Missing UNet weight file and a depth-pipeline fp16 error are different load/runtime problems despite both mentioning fp16." + }, + { + "left": "issue:2163", + "right": "issue:2707", + "accept": false, + "reason": "UNet dtype mismatch during training is unrelated to a syntax error in a conversion script." + }, + { + "left": "issue:6427", + "right": "issue:6934", + "accept": false, + "reason": "Both concern conversion, but one is a general diffusers-to-ckpt problem and the other is an SDXL original-format conversion issue; too broad to merge as one bug." + }, + { + "left": "issue:11247", + "right": "issue:9979", + "accept": false, + "reason": "Both are Flux/controlnet issues, but one is multi-GPU distribution with controlnet and the other is a channels error in img2img controlnet." + }, + { + "left": "issue:3648", + "right": "issue:3881", + "accept": false, + "reason": "These are usage/questions about training data and VRAM, not the same bug." + }, + { + "left": "issue:5753", + "right": "issue:6323", + "accept": false, + "reason": "ControlNet + LoRA loading issue and TensorRT guidance_scale attribute error are unrelated pipeline bugs." + }, + { + "left": "issue:2250", + "right": "issue:5509", + "accept": false, + "reason": "Dreambooth prompt-generation failure vs image/prompt batch-size mismatch; different symptom and likely different cause." + }, + { + "left": "issue:1363", + "right": "issue:1616", + "accept": false, + "reason": "Both reference LPW/community pipelines, but one is an ONNX/LMS scheduler error and the other is a general pipeline support issue." + }, + { + "left": "issue:9422", + "right": "issue:9927", + "accept": false, + "reason": "Training NaNs in custom ControlNet SDXL code and HTTP header-too-large during SD3 controlnet training are unrelated." + }, + { + "left": "issue:11351", + "right": "issue:13258", + "accept": false, + "reason": "Wan video processor dtype behavior is not the same as a missing Wan2.2 TI2V image-to-video model." + }, + { + "left": "issue:2838", + "right": "issue:5966", + "accept": false, + "reason": "A feature request about controlnet_pipeline behavior is not the same as support for ControlNet on SD2.1." + }, + { + "left": "issue:4520", + "right": "issue:6974", + "accept": false, + "reason": "LoRA scale with attention slicing and unloading textual inversion are different adapter-management bugs." + }, + { + "left": "issue:5233", + "right": "issue:9084", + "accept": false, + "reason": "Callback step value bug is unrelated to SD3 inpaint scheduler ordering for scale_model_input." + }, + { + "left": "issue:5578", + "right": "issue:5862", + "accept": false, + "reason": "Missing model_index.json on load and lack of gradient checkpointing in Transformer2DModel are unrelated." + }, + { + "left": "issue:5783", + "right": "issue:7549", + "accept": true, + "reason": "Both are about EMA not working in train_text_to_image_sdxl and point to the same code path; 7549 reads like a later report/variant of the same bug." + }, + { + "left": "issue:2192", + "right": "issue:6791", + "accept": false, + "reason": "Different training scripts and different failures; one is missing CLI arguments, the other says train_text_to_image_sdxl can't run." + }, + { + "left": "issue:3177", + "right": "issue:7619", + "accept": false, + "reason": "Both are dreambooth-related, but one is DeepSpeed stage-3 offloading and the other is a channels mismatch; not the same bug." + }, + { + "left": "issue:5687", + "right": "issue:7616", + "accept": false, + "reason": "Low-strength img2img artifacts and duplicate timesteps with Karras sigmas are related at a high level but not the same concrete defect." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and the soft-edge calls are appropriately conservative. The only accepted pair, issue:5783 and issue:7549, is a plausible same-bug duplicate around EMA in train_text_to_image_sdxl, while the other rejected pairs are reasonably distinguished by different scripts, components, or failure modes." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 174, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10550", + "issue:11133", + "issue:11447", + "issue:11702", + "issue:1205", + "issue:12359", + "issue:1249", + "issue:1552", + "issue:1974", + "issue:2091", + "issue:2462", + "issue:255", + "issue:2581", + "issue:2991", + "issue:3019", + "issue:3103", + "issue:3191", + "issue:3445", + "issue:3540", + "issue:4000", + "issue:4892", + "issue:4974", + "issue:4993", + "issue:5023", + "issue:5152", + "issue:5432", + "issue:5889", + "issue:5966", + "issue:6157", + "issue:6382", + "issue:6407", + "issue:6540", + "issue:6811", + "issue:6858", + "issue:6949", + "issue:7033", + "issue:7079", + "issue:7255", + "issue:730", + "issue:761", + "issue:7948", + "issue:8732", + "issue:8738", + "issue:8873", + "issue:9454", + "issue:9546", + "issue:9763" + ], + "soft_pairs": [ + "issue:2091|issue:8732", + "issue:1205|issue:4974", + "issue:2462|issue:5966", + "issue:6811|issue:9454", + "issue:7079|issue:8873", + "issue:1249|issue:1974", + "issue:11447|issue:8873", + "issue:255|issue:3103", + "issue:3019|issue:6407", + "issue:5432|issue:6949", + "issue:7255|issue:7948", + "issue:2991|issue:761", + "issue:9546|issue:9763", + "issue:5023|issue:5152", + "issue:10550|issue:11702", + "issue:3540|issue:6157", + "issue:1552|issue:730", + "issue:6382|issue:7033", + "issue:2581|issue:4000", + "issue:4892|issue:5889", + "issue:3191|issue:3445", + "issue:4993|issue:5023", + "issue:10026|issue:8738", + "issue:11133|issue:12359", + "issue:6540|issue:6858" + ], + "prepared_review_unit_hash": "9ed85a686ea254de8623409b7ce5d354e5bd953c29e80c5a4bad081f3da21823", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34234, + "estimated_input_tokens": 8559, + "estimated_eval_tokens": 17374 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated issues about training, conversion, pipeline bugs, model loading, docs, and performance. None of the soft pairs look like true duplicates of the same underlying bug/change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "If a representative issue is needed, issue 6858 is the most actionable: it is open, detailed, and describes a concrete training failure. But the cluster has no real single canonical issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2091", + "right": "issue:8732", + "accept": false, + "reason": "Both involve checkpointing during training, but one is multi-GPU resume behavior and the other is checkpoint shard loading offline; different failure paths." + }, + { + "left": "issue:1205", + "right": "issue:4974", + "accept": false, + "reason": "Both are conversion-related, but one is SD-to-ONNX conversion and the other is safetensor-to-diffusers conversion; not the same change or bug." + }, + { + "left": "issue:2462", + "right": "issue:5966", + "accept": false, + "reason": "IterableDataset training support and ControlNet 2.1 model support are different feature requests." + }, + { + "left": "issue:6811", + "right": "issue:9454", + "accept": false, + "reason": "Both are model-not-found errors, but they target different models/resources and likely different download or repo issues." + }, + { + "left": "issue:7079", + "right": "issue:8873", + "accept": false, + "reason": "One is a Transformer2DModel shape/config error; the other is xformers performance slowdown. Different problems." + }, + { + "left": "issue:1249", + "right": "issue:1974", + "accept": false, + "reason": "OnnxPipeline ndarray device handling and Euler scheduler generator handling are unrelated code paths." + }, + { + "left": "issue:11447", + "right": "issue:8873", + "accept": false, + "reason": "Offline checkpoint shard loading and xformers speed are unrelated." + }, + { + "left": "issue:255", + "right": "issue:3103", + "accept": false, + "reason": "Both mention image dimensions, but one is a StableDiffusionPipeline 8-divisibility error and the other is an inpainting size issue; not the same bug." + }, + { + "left": "issue:3019", + "right": "issue:6407", + "accept": false, + "reason": "Different model/pipeline requests: segment-anything for editing versus AnyText multilingual generation/editing." + }, + { + "left": "issue:5432", + "right": "issue:6949", + "accept": false, + "reason": "Both mention blank outputs, but one is validation images in a training script and the other is an even-step scheduler generation bug." + }, + { + "left": "issue:7255", + "right": "issue:7948", + "accept": false, + "reason": "These are unrelated model proposals: PeRFlow accelerator versus MuLan language adapter." + }, + { + "left": "issue:2991", + "right": "issue:761", + "accept": false, + "reason": "Mixed-precision ControlNet training and 8-bit Adam DreamBooth failures are different optimizer/training issues." + }, + { + "left": "issue:9546", + "right": "issue:9763", + "accept": false, + "reason": "Both are Flux ControlNet training example issues, but one is validation OOM and the other is token truncation; different concrete problems." + }, + { + "left": "issue:5023", + "right": "issue:5152", + "accept": false, + "reason": "Both are Wuerstchen-related, but they are different version-specific import/runtime issues." + }, + { + "left": "issue:10550", + "right": "issue:11702", + "accept": false, + "reason": "Both concern LoRA loading, but one is quantized-base-model loading and the other is an AccVid key error in diffusers; not the same bug." + }, + { + "left": "issue:3540", + "right": "issue:6157", + "accept": false, + "reason": "Different pipelines and failures: TextToVideoZero prompt embeds versus ControlNet img2img IP-Adapter behavior." + }, + { + "left": "issue:1552", + "right": "issue:730", + "accept": false, + "reason": "Stable Diffusion attention slicing and DreamBooth learning behavior are unrelated." + }, + { + "left": "issue:6382", + "right": "issue:7033", + "accept": false, + "reason": "One is an IP-Adapter key error during SDXL/LCM-LoRA use; the other is a warning-log issue about attention masking. Not the same bug." + }, + { + "left": "issue:2581", + "right": "issue:4000", + "accept": false, + "reason": "Both are checkpoint conversion topics, but they target different model families and conversion paths." + }, + { + "left": "issue:4892", + "right": "issue:5889", + "accept": false, + "reason": "Different video pipeline/model requests: TokenFlow versus Stable Video Diffusion." + }, + { + "left": "issue:3191", + "right": "issue:3445", + "accept": false, + "reason": "Both involve DreamBooth LoRA, but one is a broad breakage report and the other is a specific text-encoder monkey-patching failure; not enough to treat as the same bug." + }, + { + "left": "issue:4993", + "right": "issue:5023", + "accept": false, + "reason": "Different import errors in different modules; same general area, but not the same underlying issue." + }, + { + "left": "issue:10026", + "right": "issue:8738", + "accept": false, + "reason": "Multi-GPU DeepSpeed memory behavior and SD3Transformer2DModel configuration are different training/setup problems." + }, + { + "left": "issue:11133", + "right": "issue:12359", + "accept": false, + "reason": "A CogVideoX image-to-video bug and a Chroma docs issue about guidance_scale are unrelated." + }, + { + "left": "issue:6540", + "right": "issue:6858", + "accept": false, + "reason": "Both are ControlNet training errors, but the exceptions and likely causes differ substantially." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 175, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10040", + "issue:10428", + "issue:1100", + "issue:11006", + "issue:11104", + "issue:11136", + "issue:11359", + "issue:11410", + "issue:11830", + "issue:12120", + "issue:1536", + "issue:1695", + "issue:1802", + "issue:2089", + "issue:2107", + "issue:2179", + "issue:2495", + "issue:2695", + "issue:3213", + "issue:4030", + "issue:4186", + "issue:4321", + "issue:4752", + "issue:4892", + "issue:4936", + "issue:5227", + "issue:5274", + "issue:6090", + "issue:6258", + "issue:6385", + "issue:6549", + "issue:6594", + "issue:7002", + "issue:7168", + "issue:7731", + "issue:7950", + "issue:7974", + "issue:8182", + "issue:8472", + "issue:8518", + "issue:8551", + "issue:858", + "issue:8832", + "issue:8879", + "issue:8958", + "issue:9630", + "issue:9889", + "issue:9979" + ], + "soft_pairs": [ + "issue:11359|issue:12120", + "issue:11830|issue:4321", + "issue:1802|issue:4186", + "issue:2107|issue:2179", + "issue:6385|issue:8551", + "issue:11136|issue:9889", + "issue:10040|issue:6258", + "issue:2695|issue:9630", + "issue:2495|issue:4321", + "issue:11410|issue:7950", + "issue:6549|issue:7974", + "issue:4936|issue:8472", + "issue:5227|issue:8879", + "issue:11006|issue:11104", + "issue:1536|issue:3213", + "issue:4752|issue:5274", + "issue:8182|issue:8958", + "issue:8518|issue:8879", + "issue:1100|issue:858", + "issue:4892|issue:7731", + "issue:10428|issue:9979", + "issue:1695|issue:2089", + "issue:4030|issue:6594", + "issue:6090|issue:7002", + "issue:7168|issue:8832" + ], + "prepared_review_unit_hash": "7917f5847d69574023460dfb1a3d93bc1247d73c769b3c7b617723cbd05512eb", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34777, + "estimated_input_tokens": 8695, + "estimated_eval_tokens": 17646 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated bugs, feature requests, and backend-specific failures across different pipelines/models. None of the soft pairs look like the same underlying issue or a mergeable duplicate PR candidate, so no canonical issue/PR emerges.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11359", + "right": "issue:12120", + "accept": false, + "reason": "Feature request for LTX-Video speedup vs a question about training LoRA on distilled Flux; different topics and no shared bug path." + }, + { + "left": "issue:11830", + "right": "issue:4321", + "accept": false, + "reason": "Both mention black output, but they are different pipelines/backends (Framepack fp16 vs ONNX DirectML) with no evidence of the same code defect." + }, + { + "left": "issue:1802", + "right": "issue:4186", + "accept": false, + "reason": "unet_2d_condition encoder_hidden_states=None failure is unrelated to SDXL inpaint/refiner behavior." + }, + { + "left": "issue:2107", + "right": "issue:2179", + "accept": false, + "reason": "Generic black/glitchy images, but one is low-resolution image output and the other is a FlaxDDPMScheduler black-image bug; not the same concrete issue." + }, + { + "left": "issue:6385", + "right": "issue:8551", + "accept": false, + "reason": "High VRAM usage in StableVideoDiffusionPipeline is unrelated to device placement of image latents in SDXL inpaint with device_map='balanced'." + }, + { + "left": "issue:11136", + "right": "issue:9889", + "accept": false, + "reason": "SanaSprint timestep limitation vs an SDXL-Turbo segmentation fault on a specific torch build; different pipelines and failure modes." + }, + { + "left": "issue:10040", + "right": "issue:6258", + "accept": false, + "reason": "Stable Diffusion 3 gray images is a different model/output problem than Stable Video Diffusion forward-chunking image-quality degradation." + }, + { + "left": "issue:2695", + "right": "issue:9630", + "accept": false, + "reason": "Both involve ControlNet training, but one is a TensorBoard validation/reporting failure and the other is a flux-controlnet configuration error on single GPU." + }, + { + "left": "issue:2495", + "right": "issue:4321", + "accept": false, + "reason": "Black image symptom on MPS upscale vs black images on ONNX FP16 DirectML; different pipelines and platforms, no shared underlying bug." + }, + { + "left": "issue:11410", + "right": "issue:7950", + "accept": false, + "reason": "An attention_processor unpacking ValueError is not the same as a PyTorch 2.3 compatibility problem." + }, + { + "left": "issue:6549", + "right": "issue:7974", + "accept": false, + "reason": "One is just warning logs about IP-Adapter + LoRA weights, the other is an actual inpaint bug with IP Adapter; not the same defect." + }, + { + "left": "issue:4936", + "right": "issue:8472", + "accept": false, + "reason": "DreamBooth LoRA resume training bug is unrelated to a general question about pre-training LoRA with other modules." + }, + { + "left": "issue:5227", + "right": "issue:8879", + "accept": false, + "reason": "Both mention torch.compile, but one is load_lora_weight failing under compile and the other is a cudagraph failure in SDXL; different code paths and symptoms." + }, + { + "left": "issue:11006", + "right": "issue:11104", + "accept": false, + "reason": "Wan 2.1 I2V quantized-transformer video corruption is unrelated to LTX-Video 0.9.5 offload-method breakage." + }, + { + "left": "issue:1536", + "right": "issue:3213", + "accept": false, + "reason": "Both concern lpw_stable_diffusion, but they describe separate incompatibility/regression reports rather than one concrete duplicate bug." + }, + { + "left": "issue:4752", + "right": "issue:5274", + "accept": false, + "reason": "SDXL half/float mismatch is not the same as a mixed_precision fp16 training runtime error, even if both involve dtype issues." + }, + { + "left": "issue:8182", + "right": "issue:8958", + "accept": false, + "reason": "Logger.warninging typo is unrelated to a torch.library.register_fake missing-attribute incompatibility." + }, + { + "left": "issue:8518", + "right": "issue:8879", + "accept": false, + "reason": "torch.compile unsupported call on SD3 is a different failure from a cudagraph issue in StableDiffusionXL." + }, + { + "left": "issue:1100", + "right": "issue:858", + "accept": false, + "reason": "CLIPTextTransformer missing .device and Parameter missing named_children are distinct attribute errors in different parts of the stack." + }, + { + "left": "issue:4892", + "right": "issue:7731", + "accept": false, + "reason": "TokenFlow video-editing pipeline and StreamingT2V long-video generation are different models/features, not duplicates." + }, + { + "left": "issue:10428", + "right": "issue:9979", + "accept": false, + "reason": "Ascend NPU Flux inference error and flux img2img controlnet channel mismatch are unrelated Flux issues with different failure points." + }, + { + "left": "issue:1695", + "right": "issue:2089", + "accept": false, + "reason": "Multi-GPU DreamBooth training setup question vs CUDA OOM during AltDiffusion DreamBooth training; different underlying problems." + }, + { + "left": "issue:4030", + "right": "issue:6594", + "accept": false, + "reason": "Stable Diffusion embedding runtime error is unrelated to a network ConnectionError fetching a config file." + }, + { + "left": "issue:6090", + "right": "issue:7002", + "accept": false, + "reason": "Channel-mismatch in a convolution layer is not the same as an absurdly large invalid buffer size error." + }, + { + "left": "issue:7168", + "right": "issue:8832", + "accept": false, + "reason": "IP-Adapter image-embed shape confusion is unrelated to a generic crash at pipe(prompt).images[0]." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 176, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1013", + "issue:10165", + "issue:10223", + "issue:1049", + "issue:10492", + "issue:10512", + "issue:1061", + "issue:1070", + "issue:10804", + "issue:10866", + "issue:10940", + "issue:11014", + "issue:11062", + "issue:11215", + "issue:11464", + "issue:11648", + "issue:1185", + "issue:11853", + "issue:2234", + "issue:2265", + "issue:259", + "issue:2599", + "issue:2880", + "issue:3149", + "issue:3382", + "issue:3412", + "issue:3566", + "issue:3595", + "issue:3886", + "issue:4398", + "issue:5064", + "issue:5075", + "issue:5128", + "issue:5215", + "issue:5258", + "issue:5433", + "issue:5630", + "issue:6154", + "issue:6297", + "issue:6741", + "issue:7516", + "issue:7982", + "issue:9136", + "issue:9208", + "issue:9525", + "issue:9558", + "issue:987" + ], + "soft_pairs": [ + "issue:2265|issue:3886", + "issue:10492|issue:11062", + "issue:11014|issue:3382", + "issue:10223|issue:4398", + "issue:5128|issue:9208", + "issue:5215|issue:5630", + "issue:3566|issue:987", + "issue:5630|issue:9558", + "issue:11853|issue:9136", + "issue:6154|issue:6741", + "issue:3595|issue:7982", + "issue:2234|issue:6297", + "issue:5258|issue:5433", + "issue:10165|issue:10866", + "issue:5064|issue:5075", + "issue:1013|issue:3149", + "issue:1049|issue:3412", + "issue:10512|issue:10804", + "issue:1061|issue:2880", + "issue:1070|issue:259", + "issue:10940|issue:7516", + "issue:11215|issue:9525", + "issue:11464|issue:11648", + "issue:1185|issue:2599" + ], + "prepared_review_unit_hash": "2546870894476a9c5ad81aab037c33af0eb59054ecaab513f99bafad0c363114", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33171, + "estimated_input_tokens": 8293, + "estimated_eval_tokens": 16842 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is highly heterogeneous: it mixes unrelated issues about LoRA loading, training OOMs, docs updates, pipeline quirks, and import/runtime errors. I do not see any soft pair that clearly refers to the same concrete bug or change.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:9525 is the cleanest, most concrete bug report in the main Flux/LoRA subtheme: it describes a specific, reproducible lora_scale failure with a narrow code path.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2265", + "right": "issue:3886", + "accept": false, + "reason": "Different failure modes and code paths: ONNXRuntime incompatibility in a training script vs distributed training watchdog timeout." + }, + { + "left": "issue:10492", + "right": "issue:11062", + "accept": false, + "reason": "One is about torchao quantize + LoRA fusion, the other about loading a specific CivitAI LoRA; related area but not the same bug." + }, + { + "left": "issue:11014", + "right": "issue:3382", + "accept": false, + "reason": "Both mention OOM, but one is general inference memory pressure and the other is multi-GPU training memory usage; likely separate root causes." + }, + { + "left": "issue:10223", + "right": "issue:4398", + "accept": false, + "reason": "Unrelated: obtaining a LoRA ID in inference is a usage question, while black images in SDXL LoRA DreamBooth is a rendering/training bug." + }, + { + "left": "issue:5128", + "right": "issue:9208", + "accept": false, + "reason": "Both involve from_single_file loading, but one is a local safetensors/XLPipeline case and the other is ControlNet model loading; too different to merge." + }, + { + "left": "issue:5215", + "right": "issue:5630", + "accept": false, + "reason": "Both affect image output quality, but brightness shifts on dark images and leftover noise in SDXL img2img are different concrete behaviors." + }, + { + "left": "issue:3566", + "right": "issue:987", + "accept": false, + "reason": "Different pipelines and symptoms: ControlNet reference issues vs speech-to-image producing green output." + }, + { + "left": "issue:5630", + "right": "issue:9558", + "accept": false, + "reason": "One is SDXL img2img noise leftover, the other is black validation images in TensorBoard; same color theme, different bug." + }, + { + "left": "issue:11853", + "right": "issue:9136", + "accept": false, + "reason": "Both mention IP-Adapter, but one is a load/compatibility conflict with ControlNet and the other is a quality regression at some resolutions." + }, + { + "left": "issue:6154", + "right": "issue:6741", + "accept": false, + "reason": "Different issues: SDXL LoRA training on M2 Mac vs a missing argparse field in a Diffusion DPO script." + }, + { + "left": "issue:3595", + "right": "issue:7982", + "accept": false, + "reason": "Both touch pipeline conversion helpers, but from_ckpt not working and from_pipe with MultiControlNetModel are distinct code paths." + }, + { + "left": "issue:2234", + "right": "issue:6297", + "accept": false, + "reason": "Different training problems: xformers memory-efficient attention finetuning vs a general SDXL LoRA training complaint." + }, + { + "left": "issue:5258", + "right": "issue:5433", + "accept": false, + "reason": "Both involve SDXL and refiner mentions, but one is ControlNet inpaint with refiner while the other is DPM++ artifacts without refiner." + }, + { + "left": "issue:10165", + "right": "issue:10866", + "accept": false, + "reason": "Both are LoRA-related, but one is seed preservation when changing LoRA scale and the other is loading a Lumina 2.0 LoRA from Civitai." + }, + { + "left": "issue:5064", + "right": "issue:5075", + "accept": false, + "reason": "Refiner is common, but one is out-of-space during inference and the other is a shape-mismatch runtime error with prompt embeddings." + }, + { + "left": "issue:1013", + "right": "issue:3149", + "accept": false, + "reason": "StableDiffusionMegaPipeline on Diffusers 6.0 and non-deterministic images in 0.14.0 are unrelated regression reports." + }, + { + "left": "issue:1049", + "right": "issue:3412", + "accept": false, + "reason": "Both are documentation tasks, but they target different docs sections and different content." + }, + { + "left": "issue:10512", + "right": "issue:10804", + "accept": false, + "reason": "Both are Flux LoRA load failures, but the model variants and failure contexts differ enough that they do not look like one concrete bug." + }, + { + "left": "issue:1061", + "right": "issue:2880", + "accept": false, + "reason": "Docs update for Stable Diffusion v1.5 is unrelated to a JAX Colab runtime failure." + }, + { + "left": "issue:1070", + "right": "issue:259", + "accept": false, + "reason": "Inpainting bug and progress bar fix are entirely different issues." + }, + { + "left": "issue:10940", + "right": "issue:7516", + "accept": false, + "reason": "Missing triton.ops import and missing DepthNormalEstimationPipeline attribute are distinct import/availability problems." + }, + { + "left": "issue:11215", + "right": "issue:9525", + "accept": false, + "reason": "Both concern Flux/LoRA support, but one is about slow quantization and broad support limitations while the other is a specific lora_scale no-op bug." + }, + { + "left": "issue:11464", + "right": "issue:11648", + "accept": false, + "reason": "Different load failures: one is a FluxControlPipeline LoRA incompatibility, the other is loading LoRA weights with an fp8 transformer model." + }, + { + "left": "issue:1185", + "right": "issue:2599", + "accept": false, + "reason": "Reproducibility in DreamBooth and multi-subject quality degradation are separate training concerns." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 177, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11964", + "issue:1304", + "issue:1305", + "issue:1500", + "issue:1552", + "issue:1572", + "issue:1807", + "issue:2053", + "issue:2093", + "issue:2218", + "issue:2361", + "issue:2437", + "issue:2462", + "issue:2645", + "issue:2689", + "issue:2776", + "issue:2783", + "issue:2785", + "issue:2844", + "issue:2991", + "issue:3175", + "issue:3583", + "issue:3803", + "issue:3811", + "issue:383", + "issue:4064", + "issue:4080", + "issue:4117", + "issue:4152", + "issue:4376", + "issue:4868", + "issue:4933", + "issue:5014", + "issue:5153", + "issue:528", + "issue:540", + "issue:5595", + "issue:6158", + "issue:660", + "issue:668", + "issue:684", + "issue:7428", + "issue:776", + "issue:7877", + "issue:905", + "issue:9178", + "issue:9637" + ], + "soft_pairs": [ + "issue:11964|issue:9178", + "issue:1304|issue:2093", + "issue:1305|issue:5153", + "issue:1500|issue:2053", + "issue:1552|issue:1807", + "issue:1572|issue:4933", + "issue:2218|issue:5014", + "issue:2361|issue:4376", + "issue:2437|issue:4064", + "issue:2462|issue:540", + "issue:2645|issue:660", + "issue:2689|issue:776", + "issue:2776|issue:5595", + "issue:2783|issue:905", + "issue:2785|issue:4080", + "issue:2844|issue:668", + "issue:2991|issue:9637", + "issue:3175|issue:3803", + "issue:3583|issue:7428", + "issue:3811|issue:4868", + "issue:383|issue:528", + "issue:4080|issue:6158", + "issue:4117|issue:684", + "issue:4152|issue:7877" + ], + "prepared_review_unit_hash": "4607527e02a2ed5d9acbd15c67ca501413dd3418d1b1732c1d2891c3f9c9812b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32748, + "estimated_input_tokens": 8187, + "estimated_eval_tokens": 16630 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab-bag of unrelated Diffusers issues. None of the soft pairs look like the same underlying bug/change closely enough to merge, so I would keep them separate. If one issue must anchor the cluster, the most concrete and current report is the Flux LoRA loading error.", + "confidence": 0.37, + "canonical_issue_reason": "issue:11964 is the most specific and current concrete bug report in the set; it has a clear failure mode and is more actionable than the broader feature/questions here.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11964 is the best representative issue because it is a well-scoped, reproducible runtime error rather than a broad request or generic question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11964", + "right": "issue:9178", + "accept": false, + "reason": "Both mention Flux LoRA, but one is about loading missing weights and the other about PEFT target-module training errors; different stages and symptoms." + }, + { + "left": "issue:1304", + "right": "issue:2093", + "accept": false, + "reason": "Both are about image-to-image diffusion in general, but one is a training how-to question and the other is a generic model-topic issue." + }, + { + "left": "issue:1305", + "right": "issue:5153", + "accept": false, + "reason": "Direct inversion editing and FreeU are unrelated topics; no shared bug or change." + }, + { + "left": "issue:1500", + "right": "issue:2053", + "accept": false, + "reason": "One is a pipeline compatibility break, the other is a VRAM regression; different problems." + }, + { + "left": "issue:1552", + "right": "issue:1807", + "accept": false, + "reason": "Attention slicing failure and slower inference are not the same concrete bug." + }, + { + "left": "issue:1572", + "right": "issue:4933", + "accept": false, + "reason": "Img2img/inpainting pipeline failure and Dreambooth checkpoint saving are unrelated." + }, + { + "left": "issue:2218", + "right": "issue:5014", + "accept": false, + "reason": "Both are training-related, but one is about overfitting and the other about poor LoRA results; not the same bug." + }, + { + "left": "issue:2361", + "right": "issue:4376", + "accept": false, + "reason": "Checkpoint save crashes and SDXL textual inversion crashes are separate code paths." + }, + { + "left": "issue:2437", + "right": "issue:4064", + "accept": false, + "reason": "Both request new pipelines, but for different features and implementations." + }, + { + "left": "issue:2462", + "right": "issue:540", + "accept": false, + "reason": "IterableDataset support and memory placement optimization are different training concerns." + }, + { + "left": "issue:2645", + "right": "issue:660", + "accept": false, + "reason": "Both involve M1/MPS/CUDA confusion, but they report different runtime issues and are not the same failure." + }, + { + "left": "issue:2689", + "right": "issue:776", + "accept": false, + "reason": "Broken image link is unrelated to batch-size img2img breakage." + }, + { + "left": "issue:2776", + "right": "issue:5595", + "accept": false, + "reason": "DeepSpeed/ZeRO training setup and latent size divisibility are unrelated errors." + }, + { + "left": "issue:2783", + "right": "issue:905", + "accept": false, + "reason": "Both mention img2img/inpainting ControlNet, but one is a feature request and the other is a community-pipeline question; not clearly the same change." + }, + { + "left": "issue:2785", + "right": "issue:4080", + "accept": false, + "reason": "Text-to-video M1/M2 support and SDXL inpainting are separate feature requests." + }, + { + "left": "issue:2844", + "right": "issue:668", + "accept": false, + "reason": "StableUnCLIP image embeddings and Dreambooth training errors are unrelated." + }, + { + "left": "issue:2991", + "right": "issue:9637", + "accept": false, + "reason": "Mixed-precision ControlNet example failure and XFormers attention-mask bfloat issue are different attention-stack bugs." + }, + { + "left": "issue:3175", + "right": "issue:3803", + "accept": false, + "reason": "Dreambooth multi-face training and multi-GPU LoRA sharing are not the same defect." + }, + { + "left": "issue:3583", + "right": "issue:7428", + "accept": false, + "reason": "Mixture of Diffusers support and layer diffusion support are different features." + }, + { + "left": "issue:3811", + "right": "issue:4868", + "accept": false, + "reason": "LoRA having no effect and a generic AttributeError are not the same underlying issue." + }, + { + "left": "issue:383", + "right": "issue:528", + "accept": false, + "reason": "These are unrelated questions about different model/config classes." + }, + { + "left": "issue:4080", + "right": "issue:6158", + "accept": false, + "reason": "SDXL inpainting and Animatediff SDXL support are different pipeline requests." + }, + { + "left": "issue:4117", + "right": "issue:684", + "accept": false, + "reason": "SDXL Dreambooth failure and AMD memory optimization issues are unrelated." + }, + { + "left": "issue:4152", + "right": "issue:7877", + "accept": false, + "reason": "Different attention API enhancements; not the same bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 178, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:12369", + "issue:12457", + "issue:12480", + "issue:12481", + "issue:12482", + "issue:12483", + "issue:2453", + "issue:3698", + "issue:4241", + "issue:4274", + "issue:4316", + "issue:4340", + "issue:4405", + "issue:4445", + "issue:4460", + "issue:4727", + "issue:4773", + "issue:4806", + "issue:4876", + "issue:5004", + "issue:5150", + "issue:5330", + "issue:5371", + "issue:5392", + "issue:5405", + "issue:5432", + "issue:5577", + "issue:5932", + "issue:6218", + "issue:6297", + "issue:6388", + "issue:6423", + "issue:6439", + "issue:6791", + "issue:6865", + "issue:7002", + "issue:7009", + "issue:7142", + "issue:7146", + "issue:7592", + "issue:8472", + "issue:8532", + "issue:9393", + "issue:9568", + "issue:9611", + "issue:9645", + "issue:9767", + "issue:986" + ], + "soft_pairs": [ + "issue:4274|issue:5371", + "issue:4316|issue:5432", + "issue:4340|issue:8472", + "issue:4405|issue:6388", + "issue:4460|issue:7142", + "issue:4727|issue:5577", + "issue:4773|issue:8532", + "issue:4806|issue:5330", + "issue:5004|issue:6439", + "issue:5150|issue:5405", + "issue:5392|issue:986", + "issue:5932|issue:7002", + "issue:6218|issue:7592", + "issue:6297|issue:9393", + "issue:6791|issue:7146", + "issue:6865|issue:9645", + "issue:7009|issue:9568", + "issue:9611|issue:9767", + "issue:12481|issue:12483", + "issue:12482|issue:12483", + "issue:12480|issue:12483", + "issue:2453|issue:6423", + "issue:2453|issue:4241", + "issue:12369|issue:12457", + "issue:3698|issue:4445", + "issue:4241|issue:4876", + "issue:4241|issue:6423", + "issue:4445|issue:4876" + ], + "prepared_review_unit_hash": "42fc4fde5723355507b628bff6084ee4f6567bdc68e642a2a6e1804a82e7b532", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 34481, + "estimated_input_tokens": 8621, + "estimated_eval_tokens": 17498 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly unrelated, but it contains one clear duplicate bug set around `CLIPTextModel.__init__()` receiving `offload_state_dict`, plus a likely duplicate CineScale feature request pair.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 12483 is the strongest canonical issue: it most clearly states the shared failure mode and environment (`diffusers 0.35.1` with `transformers 4.57.0`) behind the repeated `offload_state_dict` TypeError reports.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 12483 is the best representative issue because it is the most explicit and general description of the duplicate TypeError cluster; the other matching reports are near-verbatim duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4274", + "right": "issue:5371", + "accept": false, + "reason": "Both are pipeline feature requests, but they target different BLIP additions (diffusion vs inpainting support) and are not the same change." + }, + { + "left": "issue:4316", + "right": "issue:5432", + "accept": false, + "reason": "Both concern training-script validation, but one is a validation-option error and the other is blank validation images; different bugs." + }, + { + "left": "issue:4340", + "right": "issue:8472", + "accept": false, + "reason": "Both mention LoRA training, but one is a concrete `train_text_encoder` error and the other is a general usage question about combining modules." + }, + { + "left": "issue:4405", + "right": "issue:6388", + "accept": false, + "reason": "Different issues: adding an SDXL textual inversion script vs gradient-checkpointing being ignored in SDXL LoRA training." + }, + { + "left": "issue:4460", + "right": "issue:7142", + "accept": false, + "reason": "Both compare outputs, but they refer to different pipelines and different mismatch types; not the same underlying bug." + }, + { + "left": "issue:4727", + "right": "issue:5577", + "accept": false, + "reason": "Different code paths: `local_files_only` auto-pipeline loading vs `ControlNetModel.from_single_file` key errors." + }, + { + "left": "issue:4773", + "right": "issue:8532", + "accept": false, + "reason": "One is about loading CivitAI LoRA files, the other about progressive memory growth when loading LoRA weights; not the same defect." + }, + { + "left": "issue:4806", + "right": "issue:5330", + "accept": false, + "reason": "Both involve `UNet2DModel`, but one is a parameter type issue and the other is `class_labels` being ignored; separate bugs." + }, + { + "left": "issue:5004", + "right": "issue:6439", + "accept": false, + "reason": "Checkpoint resume failure in SDXL fp16 is unrelated to a docs link 404." + }, + { + "left": "issue:5150", + "right": "issue:5405", + "accept": false, + "reason": "Both mention `from_single_file`, but one is a missing method and the other is weights not being overwritten; different issues." + }, + { + "left": "issue:5392", + "right": "issue:986", + "accept": false, + "reason": "A training question for latent diffusion is unrelated to a generic demo question about calling train." + }, + { + "left": "issue:5932", + "right": "issue:7002", + "accept": false, + "reason": "Different runtime failures with different symptoms and likely different causes." + }, + { + "left": "issue:6218", + "right": "issue:7592", + "accept": false, + "reason": "Batched seeds in ControlNet/img2img is unrelated to DoRA state-dict loading." + }, + { + "left": "issue:6297", + "right": "issue:9393", + "accept": false, + "reason": "Both are training-related, but one is an SDXL photo-training problem and the other is a Flux DreamBooth LoRA save-model issue." + }, + { + "left": "issue:6791", + "right": "issue:7146", + "accept": false, + "reason": "Same script family, but one is a general run failure and the other is CUDA OOM; not the same bug." + }, + { + "left": "issue:6865", + "right": "issue:9645", + "accept": false, + "reason": "A missing image-instance check is unrelated to an import error for `StableDiffusionLoraLoaderMixin`." + }, + { + "left": "issue:7009", + "right": "issue:9568", + "accept": false, + "reason": "Different video/autoencoder failure modes; not the same underlying problem." + }, + { + "left": "issue:9611", + "right": "issue:9767", + "accept": false, + "reason": "Both involve Flux image pipelines, but one is a batching error and the other is a cuDNN frontend error during LoRA use; too different to merge." + }, + { + "left": "issue:12481", + "right": "issue:12483", + "accept": true, + "reason": "Near-verbatim duplicate of the same `CLIPTextModel` `offload_state_dict` TypeError report." + }, + { + "left": "issue:12482", + "right": "issue:12483", + "accept": true, + "reason": "Same underlying `CLIPTextModel` unexpected kwarg `offload_state_dict` bug." + }, + { + "left": "issue:12480", + "right": "issue:12483", + "accept": true, + "reason": "Same TypeError and dependency-mismatch report; only the title wording differs." + }, + { + "left": "issue:2453", + "right": "issue:6423", + "accept": false, + "reason": "A contribution question is unrelated to a reproducibility issue for fill50k results." + }, + { + "left": "issue:2453", + "right": "issue:4241", + "accept": false, + "reason": "General contribution question is unrelated to a LoRA fine-tuning support request." + }, + { + "left": "issue:12369", + "right": "issue:12457", + "accept": true, + "reason": "Both appear to be the same CineScale request; the second title is just the shorter form of the first." + }, + { + "left": "issue:3698", + "right": "issue:4445", + "accept": false, + "reason": "Different fine-tuning topics: inpainting model conversion vs LoRA training guidance." + }, + { + "left": "issue:4241", + "right": "issue:4876", + "accept": false, + "reason": "Both are LoRA-related, but one asks about fine-tuning support and the other asks for a LoRA std argument; not the same change." + }, + { + "left": "issue:4241", + "right": "issue:6423", + "accept": false, + "reason": "Different questions and no shared bug/change." + }, + { + "left": "issue:4445", + "right": "issue:4876", + "accept": false, + "reason": "A how-to question about LoRA fine-tuning is not the same as a parameter-request feature for LoRA std." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative: it identifies the tight `offload_state_dict` TypeError duplicate set around issues 12480/12481/12482/12483, and it only calls the CineScale pair a likely duplicate. The other soft-edge rejections are appropriately cautious based on the issue titles alone." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 179, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11519", + "issue:11560", + "issue:12369", + "issue:1755", + "issue:1962", + "issue:200", + "issue:202", + "issue:2195", + "issue:2311", + "issue:2453", + "issue:2462", + "issue:2838", + "issue:3385", + "issue:3427", + "issue:3576", + "issue:3593", + "issue:378", + "issue:384", + "issue:3902", + "issue:4445", + "issue:4609", + "issue:4716", + "issue:4747", + "issue:4750", + "issue:4913", + "issue:4922", + "issue:4978", + "issue:5274", + "issue:5425", + "issue:5447", + "issue:5628", + "issue:5630", + "issue:5932", + "issue:5947", + "issue:6572", + "issue:671", + "issue:692", + "issue:743", + "issue:7619", + "issue:7972", + "issue:8241", + "issue:9031", + "issue:9032", + "issue:9038", + "issue:9039", + "issue:9047", + "issue:9224", + "issue:9410" + ], + "soft_pairs": [ + "issue:4445|issue:692", + "issue:3576|issue:3593", + "issue:4913|issue:6572", + "issue:1755|issue:4609", + "issue:1755|issue:2311", + "issue:4922|issue:692", + "issue:4750|issue:4978", + "issue:200|issue:202", + "issue:11560|issue:9410", + "issue:9031|issue:9032", + "issue:4716|issue:4747", + "issue:5628|issue:5630", + "issue:378|issue:384", + "issue:1962|issue:3902", + "issue:9038|issue:9039", + "issue:2462|issue:5947", + "issue:11519|issue:12369", + "issue:5447|issue:5628", + "issue:9047|issue:9224", + "issue:2453|issue:2838", + "issue:5932|issue:7619", + "issue:5274|issue:5425", + "issue:1962|issue:2195", + "issue:3385|issue:3427", + "issue:7972|issue:8241", + "issue:671|issue:743" + ], + "prepared_review_unit_hash": "bb11a84029ba0791139697733b5a632b694e38741037d71a6ac093274b6e36c4", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 33794, + "estimated_input_tokens": 8449, + "estimated_eval_tokens": 17154 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a mixed set of feature requests and support issues; only a few soft pairs look like true duplicates around the same concrete bug. The strongest standalone issue is the MPS/Flux failure report because it is highly active and clearly scoped.", + "confidence": 0.74, + "canonical_issue_reason": "Issue 9047 is the most active, concrete bug report in the set and has broad relevance to a real runtime failure; it is a better canonical anchor than the many narrow feature requests.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9047 has the highest discussion activity and describes a specific reproducible platform bug, making it the best representative issue here.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4445", + "right": "issue:692", + "accept": true, + "reason": "Both are requests about fine-tuning diffusion/LoRA models and ask for the same kind of training guidance." + }, + { + "left": "issue:3576", + "right": "issue:3593", + "accept": false, + "reason": "Both mention xformers, but one is textual inversion and the other is LoRA on a second pipeline call; different failure paths." + }, + { + "left": "issue:4913", + "right": "issue:6572", + "accept": false, + "reason": "Both are ControlNet-related feature requests, but they target different pipelines/models and are not the same change." + }, + { + "left": "issue:1755", + "right": "issue:4609", + "accept": false, + "reason": "Unrelated topics; generic Arabic title versus a T2I-Adapter model request." + }, + { + "left": "issue:1755", + "right": "issue:2311", + "accept": false, + "reason": "No meaningful overlap beyond both being general issues; the scheduler request is unrelated." + }, + { + "left": "issue:4922", + "right": "issue:692", + "accept": false, + "reason": "Android demo request versus fine-tuning help; different scope entirely." + }, + { + "left": "issue:4750", + "right": "issue:4978", + "accept": false, + "reason": "Both involve inpainting preprocessors, but they refer to different preprocessors and different usage scenarios." + }, + { + "left": "issue:200", + "right": "issue:202", + "accept": false, + "reason": "Different test targets in different files; not the same bug or change." + }, + { + "left": "issue:11560", + "right": "issue:9410", + "accept": false, + "reason": "Generic import error versus a specific pipeline import problem; too little evidence they are the same issue." + }, + { + "left": "issue:9031", + "right": "issue:9032", + "accept": false, + "reason": "Safety checker disablement and TPU minimum example are unrelated Flax questions." + }, + { + "left": "issue:4716", + "right": "issue:4747", + "accept": false, + "reason": "Both mention SDXL, but one is about long prompts and the other is a missing model_index.json error." + }, + { + "left": "issue:5628", + "right": "issue:5630", + "accept": false, + "reason": "Both involve LMS scheduler/SDXL img2img, but the reported symptoms and conditions differ too much to merge confidently." + }, + { + "left": "issue:378", + "right": "issue:384", + "accept": true, + "reason": "These describe the same Textual Inversion/DiagonalGaussianDistribution latent_dist AttributeError from different angles." + }, + { + "left": "issue:1962", + "right": "issue:3902", + "accept": false, + "reason": "Video generation support request versus Control-A-Video; related domain, but not the same request." + }, + { + "left": "issue:9038", + "right": "issue:9039", + "accept": false, + "reason": "Prompt weighting and LoRA loading are separate FlaxStableDiffusionPipeline feature requests." + }, + { + "left": "issue:2462", + "right": "issue:5947", + "accept": false, + "reason": "IterableDataset finetuning support and Diffusion-DPO policy discussion are unrelated." + }, + { + "left": "issue:11519", + "right": "issue:12369", + "accept": false, + "reason": "Different model support requests (MAGI-1 vs Wan 2.1 CineScale), not duplicates." + }, + { + "left": "issue:5447", + "right": "issue:5628", + "accept": false, + "reason": "Both mention denoising_start/end, but one is a 2nd-order scheduler bug and the other is an LMS/Karras offset issue; not clearly the same defect." + }, + { + "left": "issue:9047", + "right": "issue:9224", + "accept": true, + "reason": "Both point to Flux failing on MPS, and the float64-on-Metal report is a plausible concrete root cause of the broader failure." + }, + { + "left": "issue:2453", + "right": "issue:2838", + "accept": false, + "reason": "How-to-contribute question versus a ControlNet pipeline feature request; unrelated." + }, + { + "left": "issue:5932", + "right": "issue:7619", + "accept": true, + "reason": "Both report the same channel-mismatch runtime error in training scripts, just in different training entrypoints." + }, + { + "left": "issue:5274", + "right": "issue:5425", + "accept": false, + "reason": "Mixed-precision dtype error and checkpointing/accelerate compatibility are different training problems." + }, + { + "left": "issue:1962", + "right": "issue:2195", + "accept": false, + "reason": "Both are video-related feature requests, but one is general video generation and the other is Tune-A-Video; not the same change." + }, + { + "left": "issue:3385", + "right": "issue:3427", + "accept": false, + "reason": "Different JAX model-support requests; same framework, different underlying features." + }, + { + "left": "issue:7972", + "right": "issue:8241", + "accept": false, + "reason": "LEDITS++ type mismatch and model size concerns are different issues." + }, + { + "left": "issue:671", + "right": "issue:743", + "accept": false, + "reason": "Both are model-conversion topics, but one is about output non-identity and the other is a conversion failure; not the same bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: 9047 is clearly the highest-activity item, and the canonical issue framing stays conservative. The accepted soft pairs are all plausibly close without overstating certainty, especially the channel-mismatch and DiagonalGaussianDistribution pairs." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 180, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10049", + "issue:11315", + "issue:11432", + "issue:11436", + "issue:11555", + "issue:11560", + "issue:1158", + "issue:1160", + "issue:11630", + "issue:11878", + "issue:12097", + "issue:12499", + "issue:12567", + "issue:12732", + "issue:12738", + "issue:12896", + "issue:13105", + "issue:13232", + "issue:13351", + "issue:1755", + "issue:201", + "issue:2195", + "issue:2221", + "issue:2268", + "issue:2830", + "issue:2838", + "issue:2984", + "issue:338", + "issue:339", + "issue:3698", + "issue:3699", + "issue:4141", + "issue:4609", + "issue:4835", + "issue:4913", + "issue:5112", + "issue:5162", + "issue:5480", + "issue:5926", + "issue:5947", + "issue:6042", + "issue:6572", + "issue:8493", + "issue:8738", + "issue:9042", + "issue:9264", + "issue:9825" + ], + "soft_pairs": [ + "issue:3698|issue:5162", + "issue:2838|issue:5947", + "issue:1755|issue:5480", + "issue:9042|issue:9264", + "issue:11630|issue:11878", + "issue:201|issue:338", + "issue:201|issue:339", + "issue:2221|issue:2268", + "issue:10049|issue:11560", + "issue:4913|issue:5926", + "issue:13232|issue:13351", + "issue:1158|issue:1160", + "issue:9042|issue:9825", + "issue:4835|issue:5112", + "issue:6042|issue:6572", + "issue:2830|issue:4609", + "issue:3699|issue:4141", + "issue:12097|issue:12896", + "issue:12732|issue:12738", + "issue:12567|issue:13105", + "issue:11432|issue:11555", + "issue:2195|issue:2984", + "issue:12097|issue:12499", + "issue:8493|issue:8738", + "issue:11315|issue:11436" + ], + "prepared_review_unit_hash": "dbf64630bfed879016a1f71615f614ed8d64344068d235f12f4d44f89b1ab3e8", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 32795, + "estimated_input_tokens": 8199, + "estimated_eval_tokens": 16654 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose mix of unrelated pipeline/model requests and backend/dtype bugs. The soft pairs mostly share only a subsystem or model name, not the same concrete failure mode, so I would not merge any of them as duplicates.", + "confidence": 0.84, + "canonical_issue_reason": "Issue 11432 is the clearest, most generally useful bug report in the set: a specific, reproducible loading/API problem around `from_pretrained(..., torch_dtype=\"auto\")` with broad relevance to nearby loading issues.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11432 is the best anchor for the cluster because it is concrete, well-scoped, and describes an actionable framework behavior bug rather than a vague request or model-specific symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3698", + "right": "issue:5162", + "accept": false, + "reason": "Both are conversion-related, but one asks to convert an inpainting model to Diffusers while the other requests a checkpoint-to-safetensors conversion script; different goals and code paths." + }, + { + "left": "issue:2838", + "right": "issue:5947", + "accept": false, + "reason": "ControlNet pipeline behavior and Diffusion-DPO policy objective are unrelated topics; no shared bug/change." + }, + { + "left": "issue:1755", + "right": "issue:5480", + "accept": false, + "reason": "A generic discussion issue and an EDM implementation request do not describe the same underlying problem." + }, + { + "left": "issue:9042", + "right": "issue:9264", + "accept": false, + "reason": "Both mention FLUX, but one is for adding the FLUX pipeline and the other is specifically for FLUX inpainting; separate feature requests." + }, + { + "left": "issue:11630", + "right": "issue:11878", + "accept": false, + "reason": "`from_single_file` support and GGUF 1.3B failure involve different loading formats and different failure modes." + }, + { + "left": "issue:201", + "right": "issue:338", + "accept": false, + "reason": "Different test concerns: attention-class tests vs LMS discrete tests." + }, + { + "left": "issue:201", + "right": "issue:339", + "accept": false, + "reason": "Different test additions with no evidence of the same failure or fix." + }, + { + "left": "issue:2221", + "right": "issue:2268", + "accept": false, + "reason": "Both are vague ColossalAI errors, but the reports are too generic to establish the same concrete bug." + }, + { + "left": "issue:10049", + "right": "issue:11560", + "accept": false, + "reason": "`Cannot import MochiPipeline` is not the same as a generic import error; too little evidence of the same root cause." + }, + { + "left": "issue:4913", + "right": "issue:5926", + "accept": false, + "reason": "OpenPose SDXL ControlNet and Kandinsky 3.0 are unrelated model requests." + }, + { + "left": "issue:13232", + "right": "issue:13351", + "accept": false, + "reason": "LTX-2.3 support and Wan 2.2 Fun ControlNet are different model support requests." + }, + { + "left": "issue:1158", + "right": "issue:1160", + "accept": false, + "reason": "One is test interference between config tests; the other is a hang/freezing issue in a custom pipeline test." + }, + { + "left": "issue:9042", + "right": "issue:9825", + "accept": false, + "reason": "Adding FLUX pipeline support and adding IPAdapter support for FLUX are separate feature requests, not the same change." + }, + { + "left": "issue:4835", + "right": "issue:5112", + "accept": false, + "reason": "MultiControlNet handling in SDXL ControlNet Img2Img and a `torch.Size` float-type error are distinct bugs." + }, + { + "left": "issue:6042", + "right": "issue:6572", + "accept": false, + "reason": "An SDXL Turbo distillation example request is unrelated to a ControlNetXS-SDXL-Inpaint pipeline request." + }, + { + "left": "issue:2830", + "right": "issue:4609", + "accept": false, + "reason": "A question about image+text-to-video support and a T2I-Adapter model request are different topics." + }, + { + "left": "issue:3699", + "right": "issue:4141", + "accept": false, + "reason": "MPS/CUDA availability on macOS is unrelated to a ControlNet second-control behavior bug." + }, + { + "left": "issue:12097", + "right": "issue:12896", + "accept": false, + "reason": "One is a VRAM OOM at the end of generation; the other is an MPS backend failure. Different runtime problems." + }, + { + "left": "issue:12732", + "right": "issue:12738", + "accept": false, + "reason": "Both are Z-Image related, but one is a generic inference pipeline error and the other is a specific batch-size assertion failure; not enough to treat as the same bug." + }, + { + "left": "issue:12567", + "right": "issue:13105", + "accept": false, + "reason": "Noise with Ulysses Attention and WAN output noise are different models/code paths and likely different bugs." + }, + { + "left": "issue:11432", + "right": "issue:11555", + "accept": false, + "reason": "`torch_dtype=\"auto\"` loading behavior and `device_map=\"auto\"` support are different API concerns, not the same defect." + }, + { + "left": "issue:2195", + "right": "issue:2984", + "accept": false, + "reason": "These are unrelated video-model requests with no shared concrete bug or fix." + }, + { + "left": "issue:12097", + "right": "issue:12499", + "accept": false, + "reason": "VRAM OOM and condition-shape mismatch are different failure modes in WAN 2.2." + }, + { + "left": "issue:8493", + "right": "issue:8738", + "accept": false, + "reason": "Both mention SD3Transformer2DModel, but one is a state_dict loading error and the other is a configuration/setup issue; not clearly the same bug." + }, + { + "left": "issue:11315", + "right": "issue:11436", + "accept": false, + "reason": "Both are HiDream dtype/backend problems, but one is a float64 rope issue on MPS and the other is a half/bfloat16 matmul mismatch; distinct underlying errors." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 181, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10120", + "issue:1076", + "issue:10760", + "issue:11436", + "issue:11653", + "issue:11821", + "issue:11878", + "issue:12606", + "issue:1755", + "issue:1962", + "issue:2015", + "issue:2195", + "issue:2453", + "issue:2635", + "issue:321", + "issue:322", + "issue:3728", + "issue:3788", + "issue:3838", + "issue:4042", + "issue:4225", + "issue:4232", + "issue:4269", + "issue:4406", + "issue:4615", + "issue:4913", + "issue:5017", + "issue:5284", + "issue:5770", + "issue:6008", + "issue:6042", + "issue:6095", + "issue:6096", + "issue:6287", + "issue:6288", + "issue:6393", + "issue:6423", + "issue:6444", + "issue:6482", + "issue:6572", + "issue:7303", + "issue:7408", + "issue:8477", + "issue:8560", + "issue:8803", + "issue:8894", + "issue:9218", + "issue:9220" + ], + "soft_pairs": [ + "issue:4269|issue:4615", + "issue:6287|issue:8803", + "issue:11436|issue:11653", + "issue:2453|issue:5017", + "issue:10760|issue:12606", + "issue:11821|issue:11878", + "issue:10120|issue:8560", + "issue:1076|issue:321", + "issue:3728|issue:7408", + "issue:4225|issue:4406", + "issue:2015|issue:6572", + "issue:321|issue:322", + "issue:3788|issue:7408", + "issue:6444|issue:6482", + "issue:4232|issue:5284", + "issue:6008|issue:6393", + "issue:9218|issue:9220", + "issue:1755|issue:2635", + "issue:8477|issue:8894", + "issue:1962|issue:3838", + "issue:4913|issue:6042", + "issue:1755|issue:4042", + "issue:5017|issue:6423", + "issue:5017|issue:7303", + "issue:2195|issue:3838", + "issue:6095|issue:6096", + "issue:5770|issue:6288" + ], + "prepared_review_unit_hash": "beae35f301447feb057c07e6c0c8b0d34f4f02439968af0d7cc9ee42ce58f3d3", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 34210, + "estimated_input_tokens": 8553, + "estimated_eval_tokens": 17362 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly heterogeneous rather than a true duplicate cluster. I rejected all soft edges because the paired items are usually only in the same broad subsystem (or both are generic bug reports) but do not describe the same concrete bug/change.", + "confidence": 0.9, + "canonical_issue_reason": "No single canonical issue stands out: the items span unrelated features, pipelines, and import/runtime bugs, so there isn\u2019t one report that cleanly subsumes the rest.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9220 is the most concrete standalone bug report in the set: it names a specific PAG pipeline error with an explicit undefined-variable failure, making it the strongest actionable issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4269", + "right": "issue:4615", + "accept": false, + "reason": "Both are ControlNet-related import/input errors, but they hit different symbols and code paths: check_inputs TypeError vs missing StableDiffusionControlnetPipeline import." + }, + { + "left": "issue:6287", + "right": "issue:8803", + "accept": false, + "reason": "Completely unrelated: unused setup.py dependencies vs a hidden_states duplicate assignment in attention_processor.py." + }, + { + "left": "issue:11436", + "right": "issue:11653", + "accept": false, + "reason": "Same HiDream area, but different problems: a dtype mismatch at inference vs LoRA .alpha key compatibility." + }, + { + "left": "issue:2453", + "right": "issue:5017", + "accept": false, + "reason": "A contribution/help question is not the same issue as a ControlNet control-mode feature request." + }, + { + "left": "issue:10760", + "right": "issue:12606", + "accept": false, + "reason": "Both are import bugs, but for different files and failures; they do not appear to be the same broken code path." + }, + { + "left": "issue:11821", + "right": "issue:11878", + "accept": false, + "reason": "Same WanVACE family, but one is prompt-list support and the other is GGUF/1.3B model loading; different bugs." + }, + { + "left": "issue:10120", + "right": "issue:8560", + "accept": false, + "reason": "Both mention SD3 memory/oom, but one is DreamBooth+SD3 memory consumption and the other is general SD3 training OOM on a 4090; too broad to merge as one bug." + }, + { + "left": "issue:1076", + "right": "issue:321", + "accept": false, + "reason": "No underlying bug match: stable-diffusion-v1-5 discussion vs Blended Diffusion." + }, + { + "left": "issue:3728", + "right": "issue:7408", + "accept": false, + "reason": "Both are new pipeline requests, but they are distinct algorithms/features (Shifted Diffusion vs FRESCO)." + }, + { + "left": "issue:4225", + "right": "issue:4406", + "accept": false, + "reason": "Different loading failures: ControlNet state_dict mismatch vs safetensors header deserialization." + }, + { + "left": "issue:2015", + "right": "issue:6572", + "accept": false, + "reason": "Different pipeline proposals: categorical diffusion vs ControlNetXS-SDXL-Inpaint." + }, + { + "left": "issue:321", + "right": "issue:322", + "accept": false, + "reason": "Two separate research concepts with no indication of the same pipeline or fix." + }, + { + "left": "issue:3788", + "right": "issue:7408", + "accept": false, + "reason": "Both are pipeline requests, but for different models and behavior; not the same concrete change." + }, + { + "left": "issue:6444", + "right": "issue:6482", + "accept": false, + "reason": "Same training script family, but distinct failures: peft_config attribute error vs resume_from_checkpoint FP16 unscale error." + }, + { + "left": "issue:4232", + "right": "issue:5284", + "accept": false, + "reason": "Both involve ControlNet variants, but one is instruct-pix2pix training/inference code and the other is LLLite support; different changes." + }, + { + "left": "issue:6008", + "right": "issue:6393", + "accept": false, + "reason": "LCM LoRA/IP-Adapter failure is unrelated to private-model download via from_single_file." + }, + { + "left": "issue:9218", + "right": "issue:9220", + "accept": false, + "reason": "Related PAG topics, but one is a general feature/support request and the other is a specific undefined-variable bug; not the same concrete issue." + }, + { + "left": "issue:1755", + "right": "issue:2635", + "accept": false, + "reason": "No overlap in underlying bug or change: a general Arabic-titled issue vs scheduler identification." + }, + { + "left": "issue:8477", + "right": "issue:8894", + "accept": false, + "reason": "Different scripts and different runtime failures; they are not the same DDP/code-path bug." + }, + { + "left": "issue:1962", + "right": "issue:3838", + "accept": false, + "reason": "Both concern video generation, but they are different projects/pipelines (stable diffusion video vs Video Composer)." + }, + { + "left": "issue:4913", + "right": "issue:6042", + "accept": false, + "reason": "ControlNet OpenPose SDXL model discussion is unrelated to an SDXL-Turbo distillation example request." + }, + { + "left": "issue:1755", + "right": "issue:4042", + "accept": false, + "reason": "Unrelated: a generic issue vs combining reference-only with inpainting and depth control." + }, + { + "left": "issue:5017", + "right": "issue:6423", + "accept": false, + "reason": "ControlNet control-mode request and a fill50k reproduction issue are unrelated." + }, + { + "left": "issue:5017", + "right": "issue:7303", + "accept": false, + "reason": "Different topics: ControlNet control mode vs zero_snr scheduler creation." + }, + { + "left": "issue:2195", + "right": "issue:3838", + "accept": false, + "reason": "Both are about video, but they are distinct efforts and not the same pipeline or bug." + }, + { + "left": "issue:6095", + "right": "issue:6096", + "accept": false, + "reason": "Same SVD area, but different failures: scheduler indexing error vs torch.compile dynamic output shape exception." + }, + { + "left": "issue:5770", + "right": "issue:6288", + "accept": false, + "reason": "Dataset-access failure in LCM distill is unrelated to the default learning-rate complaint in LCM LoRA training." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 182, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10049", + "issue:10186", + "issue:10204", + "issue:10460", + "issue:10658", + "issue:10737", + "issue:10893", + "issue:11560", + "issue:1160", + "issue:12369", + "issue:12606", + "issue:12624", + "issue:13065", + "issue:13232", + "issue:1976", + "issue:2195", + "issue:2822", + "issue:2830", + "issue:3113", + "issue:3140", + "issue:3698", + "issue:3861", + "issue:3902", + "issue:4042", + "issue:4241", + "issue:4250", + "issue:4524", + "issue:4789", + "issue:5017", + "issue:5023", + "issue:5118", + "issue:5227", + "issue:5318", + "issue:5341", + "issue:6161", + "issue:6393", + "issue:8488", + "issue:8503", + "issue:8511", + "issue:8518", + "issue:8565", + "issue:8975", + "issue:9001", + "issue:9026", + "issue:9112", + "issue:9141", + "issue:9147" + ], + "soft_pairs": [ + "issue:3698|issue:6161", + "issue:11560|issue:8975", + "issue:12369|issue:13232", + "issue:10893|issue:13065", + "issue:10460|issue:9026", + "issue:5023|issue:9147", + "issue:9001|issue:9112", + "issue:4241|issue:5017", + "issue:5227|issue:8518", + "issue:10186|issue:10204", + "issue:8488|issue:8565", + "issue:8503|issue:8511", + "issue:3861|issue:4250", + "issue:5318|issue:5341", + "issue:1160|issue:1976", + "issue:10658|issue:12624", + "issue:4524|issue:5118", + "issue:4789|issue:6393", + "issue:3902|issue:4042", + "issue:10737|issue:9141", + "issue:10049|issue:12606", + "issue:3113|issue:3902", + "issue:2195|issue:2830", + "issue:2822|issue:3140" + ], + "prepared_review_unit_hash": "e0de1e0091d550d138fdaddde6b096cf341be588e014d9d0ef5835b9baa7432f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32869, + "estimated_input_tokens": 8218, + "estimated_eval_tokens": 16692 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly lexical noise: the items span different models, pipelines, and failure modes, so the suggested soft matches do not look like true duplicates. I would reject all soft edges and treat this as a heterogeneous set rather than a duplicate cluster.", + "confidence": 0.95, + "canonical_issue_reason": "No single issue is a clear canonical target; the items are about different bugs, feature requests, and docs/API questions.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue candidate stands out because none of the items meaningfully subsumes the others.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3698", + "right": "issue:6161", + "accept": false, + "reason": "Different problems: inpainting model conversion vs sigma-handling behavior in schedulers." + }, + { + "left": "issue:11560", + "right": "issue:8975", + "accept": false, + "reason": "Both are import errors, but they concern different missing symbols and likely different code paths." + }, + { + "left": "issue:12369", + "right": "issue:13232", + "accept": false, + "reason": "Separate model-support requests for different architectures and use cases." + }, + { + "left": "issue:10893", + "right": "issue:13065", + "accept": false, + "reason": "Both mention ControlNet, but they target different models and different feature requests." + }, + { + "left": "issue:10460", + "right": "issue:9026", + "accept": false, + "reason": "Unrelated failures: missing UNet argument vs unexpected keyword in checkpoint dispatch." + }, + { + "left": "issue:5023", + "right": "issue:9147", + "accept": false, + "reason": "Different Flux/Wuerstchen import/autopipeline issues with no concrete shared bug." + }, + { + "left": "issue:9001", + "right": "issue:9112", + "accept": false, + "reason": "Auraflow is shared, but one is about aspect ratios and the other is a tensor-shape runtime error; too weak to merge." + }, + { + "left": "issue:4241", + "right": "issue:5017", + "accept": false, + "reason": "Different feature requests: LoRA fine-tuning for unidiffusers vs ControlNet control mode." + }, + { + "left": "issue:5227", + "right": "issue:8518", + "accept": false, + "reason": "Both involve torch.compile, but the concrete failures are different and not the same code-path bug." + }, + { + "left": "issue:10186", + "right": "issue:10204", + "accept": false, + "reason": "One is a missing import, the other is a quality regression in inpainting; not the same issue." + }, + { + "left": "issue:8488", + "right": "issue:8565", + "accept": false, + "reason": "Both are SD3 pipeline problems, but different methods and failure modes (`from_pretrained` vs `load_lora_weights`)." + }, + { + "left": "issue:8503", + "right": "issue:8511", + "accept": false, + "reason": "Separate SD3 training issues: gradient checkpointing crash vs text-encoder unloading behavior." + }, + { + "left": "issue:3861", + "right": "issue:4250", + "accept": false, + "reason": "Different `from_pretrained` questions; one is about the API name/usage, the other about incorrect model loading." + }, + { + "left": "issue:5318", + "right": "issue:5341", + "accept": false, + "reason": "Related to PEFT docs, but one is tutorials and the other is example-script API updates." + }, + { + "left": "issue:1160", + "right": "issue:1976", + "accept": false, + "reason": "Completely different problems: test hang vs bad tokenizer file lookup." + }, + { + "left": "issue:10658", + "right": "issue:12624", + "accept": false, + "reason": "Unrelated requests for different libraries and different APIs." + }, + { + "left": "issue:4524", + "right": "issue:5118", + "accept": false, + "reason": "Both are feature requests around advanced generation controls, but they target different mechanisms and are not the same change." + }, + { + "left": "issue:4789", + "right": "issue:6393", + "accept": false, + "reason": "Both involve downloads, but one is a model download failure and the other is a private-link/from_single_file path issue." + }, + { + "left": "issue:3902", + "right": "issue:4042", + "accept": false, + "reason": "Different feature requests: control-a-video vs combining reference-only with inpainting/depth control." + }, + { + "left": "issue:10737", + "right": "issue:9141", + "accept": false, + "reason": "Both are Flux pipeline gaps, but one is missing image-encoder support and the other is missing `from_single_file`; not the same bug." + }, + { + "left": "issue:10049", + "right": "issue:12606", + "accept": false, + "reason": "Both are import-related, but they refer to different modules/scripts and likely different mistakes." + }, + { + "left": "issue:3113", + "right": "issue:3902", + "accept": false, + "reason": "Different research/feature requests with no shared underlying defect or implementation change." + }, + { + "left": "issue:2195", + "right": "issue:2830", + "accept": false, + "reason": "Both are video-generation questions, but they concern different models and different capabilities." + }, + { + "left": "issue:2822", + "right": "issue:3140", + "accept": false, + "reason": "Training convergence/performance vs import failure; not the same underlying problem." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 183, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10421", + "issue:10460", + "issue:10467", + "issue:10526", + "issue:10817", + "issue:10950", + "issue:11560", + "issue:11749", + "issue:12060", + "issue:12599", + "issue:12754", + "issue:13101", + "issue:1594", + "issue:1925", + "issue:2440", + "issue:272", + "issue:2737", + "issue:2830", + "issue:338", + "issue:3431", + "issue:3467", + "issue:3566", + "issue:3728", + "issue:3838", + "issue:3902", + "issue:4305", + "issue:4733", + "issue:4750", + "issue:4913", + "issue:4972", + "issue:5009", + "issue:5034", + "issue:5168", + "issue:5314", + "issue:5436", + "issue:5794", + "issue:6572", + "issue:6866", + "issue:6901", + "issue:8503", + "issue:8507", + "issue:9062", + "issue:9148", + "issue:9264", + "issue:9331", + "issue:9680", + "issue:9825" + ], + "soft_pairs": [ + "issue:12060|issue:13101", + "issue:1925|issue:2440", + "issue:1594|issue:3728", + "issue:8503|issue:8507", + "issue:10421|issue:12754", + "issue:10950|issue:9680", + "issue:10421|issue:12599", + "issue:4305|issue:5034", + "issue:9148|issue:9825", + "issue:3467|issue:4733", + "issue:5314|issue:9264", + "issue:2830|issue:3838", + "issue:11749|issue:9331", + "issue:4972|issue:5009", + "issue:11560|issue:9062", + "issue:272|issue:338", + "issue:10460|issue:6901", + "issue:1594|issue:3902", + "issue:2737|issue:6866", + "issue:4913|issue:5168", + "issue:10467|issue:10526", + "issue:4750|issue:6572", + "issue:10817|issue:8503", + "issue:5436|issue:5794", + "issue:3431|issue:3566" + ], + "prepared_review_unit_hash": "1d62c8e95499c3a58d152da7c793e1661146c9a537156157f107b9f7f3ce1b10", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 32833, + "estimated_input_tokens": 8209, + "estimated_eval_tokens": 16674 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are not true duplicates; they are related by broad subsystem or theme only. The strongest duplicate candidates are the inpainting float16/loading pair and the FlowMatchEuler scheduler timestep/indexing pair.", + "confidence": 0.65, + "canonical_issue_reason": "issue:11749 is the clearest open bug report with a concrete scheduler failure and it matches the strongest duplicate candidate in this set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11749 is the best canonical-target candidate overall: open, specific, and well-scoped to an actual code-path bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12060", + "right": "issue:13101", + "accept": false, + "reason": "One is a DiT-block availability question; the other is an unrelated vague import/Hugging Face issue. No shared bug/change." + }, + { + "left": "issue:1925", + "right": "issue:2440", + "accept": true, + "reason": "Both report float16/inpainting model loading failures on stable-diffusion-2 inpainting; same underlying precision/load bug." + }, + { + "left": "issue:1594", + "right": "issue:3728", + "accept": false, + "reason": "Both mention video generation, but one is an img2img video request and the other is a new text-to-image pipeline request." + }, + { + "left": "issue:8503", + "right": "issue:8507", + "accept": false, + "reason": "Both involve SD3 training, but one is a gradient-checkpointing crash and the other is a train_text_encoder failure; different code paths." + }, + { + "left": "issue:10421", + "right": "issue:12754", + "accept": false, + "reason": "Both concern pipeline movement/device handling, but one is a CPU memory leak and the other is a dtype conversion behavior change." + }, + { + "left": "issue:10950", + "right": "issue:9680", + "accept": false, + "reason": "Documentation breakage and SDXL unconditional generation are unrelated." + }, + { + "left": "issue:10421", + "right": "issue:12599", + "accept": false, + "reason": "Both are about moving pipelines to CUDA, but one is a memory leak across multiple GPUs and the other is slow loading-to-CUDA performance." + }, + { + "left": "issue:4305", + "right": "issue:5034", + "accept": false, + "reason": "torch.compile graph breaks and checkpoint progress-bar display issues are unrelated." + }, + { + "left": "issue:9148", + "right": "issue:9825", + "accept": false, + "reason": "Both are FLUX feature requests, but adding inpainting and adding IP-Adapter support are distinct changes." + }, + { + "left": "issue:3467", + "right": "issue:4733", + "accept": false, + "reason": "Both are resume/training problems, but they affect different scripts and failures; not the same concrete bug." + }, + { + "left": "issue:5314", + "right": "issue:9264", + "accept": false, + "reason": "ControlNet reference inpainting and FLUX inpainting are different pipeline/model requests." + }, + { + "left": "issue:2830", + "right": "issue:3838", + "accept": false, + "reason": "Both are video-related requests, but they describe different models/features and not the same underlying change." + }, + { + "left": "issue:11749", + "right": "issue:9331", + "accept": true, + "reason": "Both describe the FlowMatchEulerDiscreteScheduler timestep/indexing numerical bug; very likely the same underlying scheduler issue." + }, + { + "left": "issue:4972", + "right": "issue:5009", + "accept": false, + "reason": "Both are Wuerstchen failures, but the reports are too generic and may refer to different errors; not enough evidence to merge." + }, + { + "left": "issue:11560", + "right": "issue:9062", + "accept": false, + "reason": "A generic import error is not specific enough to match the StableAudioPipeline missing import report." + }, + { + "left": "issue:272", + "right": "issue:338", + "accept": false, + "reason": "A feature request for K-LMS in inpainting and a test task for LMS Discrete are not the same bug/change." + }, + { + "left": "issue:10460", + "right": "issue:6901", + "accept": false, + "reason": "Different APIs and problems: missing UNet2DModel argument vs missing FlaxDDIMScheduler method implementation." + }, + { + "left": "issue:1594", + "right": "issue:3902", + "accept": false, + "reason": "Both touch video generation, but one is an img2img video request and the other is a control-a-video feature request." + }, + { + "left": "issue:2737", + "right": "issue:6866", + "accept": false, + "reason": "Completely different features: DPMSolver CLIP guidance vs IP-Adapter support for SDXL ControlNet inpaint." + }, + { + "left": "issue:4913", + "right": "issue:5168", + "accept": false, + "reason": "Both mention ControlNet/SDXL, but one is a specific OpenPose model and the other is a broader ControlNet-XS support request." + }, + { + "left": "issue:10467", + "right": "issue:10526", + "accept": false, + "reason": "Both are FLUX FP8-related, but one is a build/example-code artifact and the other is an optimum.quanto runtime type error." + }, + { + "left": "issue:4750", + "right": "issue:6572", + "accept": false, + "reason": "Both involve inpainting, but they are different pipeline requests and model families." + }, + { + "left": "issue:10817", + "right": "issue:8503", + "accept": false, + "reason": "SD3 control-net auto-pipeline support and an SD3 gradient-checkpointing crash are different issues." + }, + { + "left": "issue:5436", + "right": "issue:5794", + "accept": false, + "reason": "A training example error and a missing tokenizer/config file on SDXL are unrelated." + }, + { + "left": "issue:3431", + "right": "issue:3566", + "accept": false, + "reason": "Both are ControlNet quality complaints, but they involve different pipelines and failure modes; not clearly the same bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The conclusions are grounded in the packet and the conservative calls are reasonable. The two accepted pairs both have clear title-level overlap on the same bug class (float16 inpainting load failure; FlowMatchEuler scheduler timestep/indexing error), while the rejected pairs are kept appropriately narrow rather than over-merged. The summary also stays within the evidence provided." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 184, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10460", + "issue:10472", + "issue:10817", + "issue:10950", + "issue:11315", + "issue:11653", + "issue:12221", + "issue:12239", + "issue:1261", + "issue:13351", + "issue:2163", + "issue:2213", + "issue:2444", + "issue:2466", + "issue:2618", + "issue:2822", + "issue:2985", + "issue:321", + "issue:3451", + "issue:3958", + "issue:4063", + "issue:4376", + "issue:4611", + "issue:4779", + "issue:4885", + "issue:4888", + "issue:5054", + "issue:5075", + "issue:5109", + "issue:5205", + "issue:5258", + "issue:5317", + "issue:5318", + "issue:5320", + "issue:5339", + "issue:5395", + "issue:5824", + "issue:5926", + "issue:6681", + "issue:6688", + "issue:7178", + "issue:775", + "issue:8507", + "issue:9045", + "issue:9303", + "issue:938", + "issue:9825", + "issue:993" + ], + "soft_pairs": [ + "issue:5318|issue:5320", + "issue:4611|issue:4779", + "issue:6681|issue:7178", + "issue:12221|issue:13351", + "issue:2163|issue:2466", + "issue:6688|issue:9303", + "issue:5075|issue:5258", + "issue:2213|issue:3451", + "issue:10817|issue:8507", + "issue:2985|issue:5926", + "issue:10950|issue:9045", + "issue:5054|issue:5824", + "issue:4885|issue:5109", + "issue:4063|issue:5205", + "issue:4888|issue:5339", + "issue:775|issue:993", + "issue:321|issue:938", + "issue:11315|issue:11653", + "issue:12221|issue:9825", + "issue:10460|issue:10472", + "issue:12239|issue:9825", + "issue:4376|issue:5824", + "issue:2618|issue:2822", + "issue:3958|issue:5395", + "issue:1261|issue:2444", + "issue:5317|issue:5318" + ], + "prepared_review_unit_hash": "8adc4cd38720d429438ae5024ea05396331dcf95f8aaad3edbc7a3b87106d659", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34177, + "estimated_input_tokens": 8545, + "estimated_eval_tokens": 17346 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is heterogeneous, and although several items are topically similar, none of the soft pairs are clearly mergeable from the provided evidence. No pair stands out as a confident duplicate based on titles/body alone.", + "confidence": 0.88, + "canonical_issue_reason": "No single canonical issue for the whole set: the reports span unrelated bugs and feature requests. If one representative must be chosen, issue 5109 is the most concrete and actionable bug report.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 5109 is the strongest representative because it names a specific pipeline and a concrete failure in the LoRA-loading path.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5318", + "right": "issue:5320", + "accept": false, + "reason": "Both are PEFT-related, but one asks for tutorials/docs and the other requests an API feature; not the same underlying defect or change." + }, + { + "left": "issue:4611", + "right": "issue:4779", + "accept": false, + "reason": "Both mention video/modelscope, but they are separate model/pipeline requests rather than one shared bug or mergeable change." + }, + { + "left": "issue:6681", + "right": "issue:7178", + "accept": false, + "reason": "Both involve export_to_video, but the provided text does not show the same concrete failure path; the evidence is too thin to merge them confidently." + }, + { + "left": "issue:12221", + "right": "issue:13351", + "accept": false, + "reason": "Both are controlnet support requests, but for different model families and different requested integrations." + }, + { + "left": "issue:2163", + "right": "issue:2466", + "accept": false, + "reason": "UNet dtype mismatch during training is unrelated to checkpoint retention behavior; different bugs." + }, + { + "left": "issue:6688", + "right": "issue:9303", + "accept": false, + "reason": "Different feature requests in different video-model areas; no shared underlying bug or code path is evident." + }, + { + "left": "issue:5075", + "right": "issue:5258", + "accept": false, + "reason": "Both touch SDXL refiner, but one is a shape-mismatch runtime bug and the other is an integration request; not the same issue." + }, + { + "left": "issue:2213", + "right": "issue:3451", + "accept": false, + "reason": "TPU distributed hang and fp16 memory regression are distinct failures with no clear common code-path cause." + }, + { + "left": "issue:10817", + "right": "issue:8507", + "accept": false, + "reason": "ControlNet support for SD3 and SD3 text-encoder training failure are different problem statements and likely different fixes." + }, + { + "left": "issue:2985", + "right": "issue:5926", + "accept": false, + "reason": "Different Kandinsky versions/features; not the same bug or change." + }, + { + "left": "issue:10950", + "right": "issue:9045", + "accept": false, + "reason": "Doc breakage and CUDA/accelerate-peft device conversion failure are unrelated." + }, + { + "left": "issue:5054", + "right": "issue:5824", + "accept": false, + "reason": "Both are SDXL-related, but they describe different concrete bugs: missing offload-hook attribute versus a bad add_time_ids default." + }, + { + "left": "issue:4885", + "right": "issue:5109", + "accept": false, + "reason": "Both mention LoRA loading in SDXL ControlNet img2img, but the available evidence does not prove the same concrete code-path failure." + }, + { + "left": "issue:4063", + "right": "issue:5205", + "accept": false, + "reason": "Textual inversion unloading is not the same as a repaint+ControlNet+LoRA feature request." + }, + { + "left": "issue:4888", + "right": "issue:5339", + "accept": false, + "reason": "Both concern safetensors loading, but one is offline loading and the other is a local-file complaint; too broad to treat as duplicates." + }, + { + "left": "issue:775", + "right": "issue:993", + "accept": false, + "reason": "Both mention fp16/dtype issues, but the reports are too generic to confirm one shared underlying bug from the provided evidence." + }, + { + "left": "issue:321", + "right": "issue:938", + "accept": false, + "reason": "Completely different model domains and requests." + }, + { + "left": "issue:11315", + "right": "issue:11653", + "accept": false, + "reason": "HiDream float64/MPS behavior and support for .alpha LoRA keys are different code paths and fixes." + }, + { + "left": "issue:12221", + "right": "issue:9825", + "accept": false, + "reason": "Both are feature requests, but for different pipeline/model families and different integrations." + }, + { + "left": "issue:10460", + "right": "issue:10472", + "accept": false, + "reason": "Missing documented constructor arg and unexpected lora_bias keyword error are different bug reports." + }, + { + "left": "issue:12239", + "right": "issue:9825", + "accept": false, + "reason": "InfiniteTalk support and FLUX IPAdapter support are separate feature requests, not duplicates." + }, + { + "left": "issue:4376", + "right": "issue:5824", + "accept": false, + "reason": "Both are SDXL-related, but one is a textual inversion crash and the other is a default-value issue in get_add_time_ids." + }, + { + "left": "issue:2618", + "right": "issue:2822", + "accept": false, + "reason": "Image-input support and slow convergence are different concerns without a shared defect." + }, + { + "left": "issue:3958", + "right": "issue:5395", + "accept": false, + "reason": "Both involve LoRA/Civitai, but cpu_offload interaction and LoRA-combination bugs are distinct." + }, + { + "left": "issue:1261", + "right": "issue:2444", + "accept": false, + "reason": "CUDA xformers backward assert and dreambooth inpaint script failure are unrelated issues." + }, + { + "left": "issue:5317", + "right": "issue:5318", + "accept": false, + "reason": "API documentation and tutorials are separate documentation tasks, not one bug or mergeable change." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The overall framing is mostly grounded, but the soft-edge verdicts overstate the evidence: the packet marks every listed soft pair as deterministic_accept=false, yet the analyst accepted 6681/7178, 4885/5109, and 775/993 as true duplicates. That is not conservative enough for this packet, so the result should be rejected. The summary should say that no pair is clearly mergeable based on the provided evidence." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 185, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10658", + "issue:1083", + "issue:10873", + "issue:10897", + "issue:1117", + "issue:11561", + "issue:12338", + "issue:12412", + "issue:1255", + "issue:13477", + "issue:1363", + "issue:1375", + "issue:1407", + "issue:1463", + "issue:1594", + "issue:1755", + "issue:1919", + "issue:1961", + "issue:2377", + "issue:2722", + "issue:2775", + "issue:2904", + "issue:3565", + "issue:3623", + "issue:3788", + "issue:460", + "issue:4789", + "issue:4912", + "issue:5008", + "issue:5480", + "issue:579", + "issue:5835", + "issue:6161", + "issue:6234", + "issue:6243", + "issue:7012", + "issue:7191", + "issue:7243", + "issue:7380", + "issue:7390", + "issue:7490", + "issue:7793", + "issue:8359", + "issue:8803", + "issue:9450", + "issue:9610", + "issue:9825", + "issue:989" + ], + "soft_pairs": [ + "issue:1755|issue:5008", + "issue:12338|issue:13477", + "issue:7390|issue:8359", + "issue:11561|issue:9825", + "issue:1594|issue:3788", + "issue:1255|issue:1375", + "issue:1363|issue:1407", + "issue:4789|issue:7793", + "issue:2904|issue:5835", + "issue:1463|issue:1919", + "issue:10658|issue:9610", + "issue:1083|issue:460", + "issue:10873|issue:9450", + "issue:1117|issue:2377", + "issue:5008|issue:5480", + "issue:5480|issue:7380", + "issue:6234|issue:8803", + "issue:6243|issue:7243", + "issue:7191|issue:7490", + "issue:3565|issue:7012", + "issue:1961|issue:579", + "issue:2775|issue:989", + "issue:4912|issue:6161", + "issue:2722|issue:3623", + "issue:12412|issue:9825", + "issue:10897|issue:9825" + ], + "prepared_review_unit_hash": "7511e79ccc80649fa884e649fbbb819b0ec3ff00848ad2a211654218bf4c5de9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 33959, + "estimated_input_tokens": 8490, + "estimated_eval_tokens": 17236 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated issues that only share surface-level terms. I found two plausible duplicate pairs: the `from_single_file`/custom-checkpoint loading reports, and the missing `datasets` dependency reports. Everything else should stay separate.", + "confidence": 0.79, + "canonical_issue_reason": "issue:8359 is the broadest concrete report of the shared `from_single_file` / custom-checkpoint loading failure, so it is the best issue anchor for that duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8359 is the best overall issue representative because it states the general code-path failure rather than a narrow symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1755", + "right": "issue:5008", + "accept": false, + "reason": "No real overlap: one is a vague/non-English issue, the other is a new pipeline implementation request." + }, + { + "left": "issue:12338", + "right": "issue:13477", + "accept": false, + "reason": "Different bugs in different pipelines; only a superficial resemblance in being runtime errors." + }, + { + "left": "issue:7390", + "right": "issue:8359", + "accept": true, + "reason": "Both describe failures around `from_single_file` loading custom checkpoints; 7390 looks like a specific pipeline symptom of the broader bug in 8359." + }, + { + "left": "issue:11561", + "right": "issue:9825", + "accept": false, + "reason": "Same broad feature area (IP-Adapter/FLUX) but different pipelines and not clearly the same concrete change." + }, + { + "left": "issue:1594", + "right": "issue:3788", + "accept": false, + "reason": "Different requested features: video img2img versus a controllable-generation pipeline." + }, + { + "left": "issue:1255", + "right": "issue:1375", + "accept": false, + "reason": "Both mention import problems, but one is a specific missing symbol and the other is a broader broken-import report; not enough to call the same bug." + }, + { + "left": "issue:1363", + "right": "issue:1407", + "accept": false, + "reason": "Unrelated failures: LMS scheduler error in a community pipeline versus an ONNX `feature_extractor` ValueError." + }, + { + "left": "issue:4789", + "right": "issue:7793", + "accept": false, + "reason": "Different code paths entirely: model download failure versus LoRA unload error." + }, + { + "left": "issue:2904", + "right": "issue:5835", + "accept": false, + "reason": "AudioLDM scheduler initialization failure is not the same as using a pretrained MusicLDM pipeline." + }, + { + "left": "issue:1463", + "right": "issue:1919", + "accept": true, + "reason": "Both point to the same underlying missing-`datasets` dependency problem; one is the generic import error, the other names the missing requirement explicitly." + }, + { + "left": "issue:10658", + "right": "issue:9610", + "accept": false, + "reason": "Provider options in onnxruntime and adding `load_lora_weights` are unrelated changes." + }, + { + "left": "issue:1083", + "right": "issue:460", + "accept": false, + "reason": "FP16 output correctness and CPU-vs-CUDA onnxruntime selection are different bugs." + }, + { + "left": "issue:10873", + "right": "issue:9450", + "accept": false, + "reason": "Different pipelines and failure modes; no shared concrete bug." + }, + { + "left": "issue:1117", + "right": "issue:2377", + "accept": false, + "reason": "Both are test-related, but for unrelated components and behaviors." + }, + { + "left": "issue:5008", + "right": "issue:5480", + "accept": false, + "reason": "Both are feature requests for different diffusion methods/models, not the same change." + }, + { + "left": "issue:5480", + "right": "issue:7380", + "accept": false, + "reason": "Different algorithm requests: EDM implementation versus one-step diffusion with distribution matching distillation." + }, + { + "left": "issue:6234", + "right": "issue:8803", + "accept": false, + "reason": "A training script issue and a duplicate assignment in attention code are unrelated." + }, + { + "left": "issue:6243", + "right": "issue:7243", + "accept": false, + "reason": "Both involve adapter-style features, but they target different adapter systems and code paths." + }, + { + "left": "issue:7191", + "right": "issue:7490", + "accept": false, + "reason": "Import trouble versus a backward-pass problem; no same root cause." + }, + { + "left": "issue:3565", + "right": "issue:7012", + "accept": false, + "reason": "Training OOM and weird `v_prediction` outputs are distinct issues." + }, + { + "left": "issue:1961", + "right": "issue:579", + "accept": false, + "reason": "ColossalAI integration error and missing `config.json` are unrelated." + }, + { + "left": "issue:2775", + "right": "issue:989", + "accept": false, + "reason": "Different runtime errors in different subsystems." + }, + { + "left": "issue:4912", + "right": "issue:6161", + "accept": false, + "reason": "Checkpoint conversion support and sigma-scheduling behavior are not the same bug." + }, + { + "left": "issue:2722", + "right": "issue:3623", + "accept": false, + "reason": "Different symptoms and likely different root causes: conversion mismatch versus model-loading limits." + }, + { + "left": "issue:12412", + "right": "issue:9825", + "accept": false, + "reason": "Both are FLUX-related support requests, but they are about different model families and adapters, so they should not be merged." + }, + { + "left": "issue:10897", + "right": "issue:9825", + "accept": false, + "reason": "Support requests for different models/features; not the same underlying change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The two accepted duplicate pairs are well-supported: `issue:7390`/`issue:8359` share the same `from_single_file` custom-checkpoint loading failure, and `issue:1463`/`issue:1919` both concern the missing `datasets` dependency. The remaining pairs are reasonably rejected as only superficially similar, and there is no overstatement that would require rejection." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 186, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:10883", + "issue:10891", + "issue:11117", + "issue:11519", + "issue:1156", + "issue:12239", + "issue:1594", + "issue:1633", + "issue:2195", + "issue:222", + "issue:2673", + "issue:2676", + "issue:2737", + "issue:2799", + "issue:3178", + "issue:3221", + "issue:3537", + "issue:3728", + "issue:3817", + "issue:4232", + "issue:4250", + "issue:4524", + "issue:4702", + "issue:4837", + "issue:4969", + "issue:5034", + "issue:5168", + "issue:541", + "issue:5757", + "issue:5998", + "issue:6008", + "issue:6016", + "issue:6136", + "issue:7146", + "issue:7322", + "issue:7350", + "issue:7417", + "issue:8488", + "issue:8604", + "issue:8837", + "issue:8994", + "issue:9101", + "issue:9223", + "issue:9248", + "issue:9680", + "issue:9732" + ], + "soft_pairs": [ + "issue:4837|issue:6016", + "issue:10883|issue:11519", + "issue:1594|issue:2195", + "issue:7146|issue:9732", + "issue:2676|issue:4524", + "issue:8994|issue:9680", + "issue:10891|issue:11117", + "issue:4702|issue:9101", + "issue:6136|issue:7417", + "issue:5757|issue:7322", + "issue:11117|issue:8488", + "issue:8604|issue:8837", + "issue:1156|issue:222", + "issue:3537|issue:541", + "issue:3221|issue:7350", + "issue:3178|issue:5998", + "issue:4250|issue:5034", + "issue:3728|issue:3817", + "issue:4969|issue:9248", + "issue:10100|issue:12239", + "issue:2673|issue:2799", + "issue:4232|issue:5168", + "issue:6008|issue:9223", + "issue:1633|issue:2737" + ], + "prepared_review_unit_hash": "70434f8475edcfa987cfb60f17ee1e8908c653afa1d46f4874cda923f57a9f88", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32939, + "estimated_input_tokens": 8235, + "estimated_eval_tokens": 16726 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a grab-bag of unrelated feature requests and bugs. Only one soft pair looks plausibly like the same underlying defect; the rest share broad subsystems or vague symptoms but not the same concrete code-path problem.", + "confidence": 0.76, + "canonical_issue_reason": "No single canonical issue cleanly represents the whole set; the items are heterogeneous, with only a few weakly related pairs.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11117 is the clearest, most concrete bug report in the set: it names the exact runtime type-mismatch (`c10::Half != c10::BFloat16`) and the affected pipeline, making it the best anchor among the near-duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4837", + "right": "issue:6016", + "accept": false, + "reason": "Both involve conversion tooling, but the reported failures are different and there is no clear shared root cause." + }, + { + "left": "issue:10883", + "right": "issue:11519", + "accept": false, + "reason": "These are separate model support requests (Marigold vs MAGI-1), not the same change." + }, + { + "left": "issue:1594", + "right": "issue:2195", + "accept": false, + "reason": "Both mention video generation, but they target different features/models and do not describe the same bug." + }, + { + "left": "issue:7146", + "right": "issue:9732", + "accept": false, + "reason": "Both are OOM reports, but for different training scripts, models, and setups." + }, + { + "left": "issue:2676", + "right": "issue:4524", + "accept": false, + "reason": "Scheduler support questions and AnimateDiff support are unrelated requests." + }, + { + "left": "issue:8994", + "right": "issue:9680", + "accept": false, + "reason": "Both are generation problems, but one is stuck steps and the other is an SDXL unconditional-generation issue; too different to treat as one bug." + }, + { + "left": "issue:10891", + "right": "issue:11117", + "accept": true, + "reason": "Both point to the same bfloat16/half type-conversion mismatch, likely the same underlying precision bug." + }, + { + "left": "issue:4702", + "right": "issue:9101", + "accept": false, + "reason": "Different training scripts for different purposes; no shared concrete failure mode." + }, + { + "left": "issue:6136", + "right": "issue:7417", + "accept": false, + "reason": "Both mention NaNs on Mac, but one is inference and the other is a test failure; root cause is not established as the same." + }, + { + "left": "issue:5757", + "right": "issue:7322", + "accept": false, + "reason": "Checkpoint-resume errors and SIGKILL during training are not the same bug." + }, + { + "left": "issue:11117", + "right": "issue:8488", + "accept": false, + "reason": "Both involve StableDiffusion3Pipeline, but one is a dtype-mismatch runtime error and the other is a from_pretrained exception; not the same concrete defect." + }, + { + "left": "issue:8604", + "right": "issue:8837", + "accept": false, + "reason": "Different symptoms in different code paths; no evidence they share one root cause." + }, + { + "left": "issue:1156", + "right": "issue:222", + "accept": false, + "reason": "Both are generic training failures, but the reports are too vague and distinct to merge." + }, + { + "left": "issue:3537", + "right": "issue:541", + "accept": false, + "reason": "A conversion script request and a SageMaker issue are unrelated." + }, + { + "left": "issue:3221", + "right": "issue:7350", + "accept": false, + "reason": "Both touch LoRA/ControlNet areas, but they describe different operations and failures." + }, + { + "left": "issue:3178", + "right": "issue:5998", + "accept": false, + "reason": "Same pipeline family, but the generic bug report and the specific TyperError are not clearly the same underlying issue." + }, + { + "left": "issue:4250", + "right": "issue:5034", + "accept": false, + "reason": "Model loading and progress-bar display are unrelated problems." + }, + { + "left": "issue:3728", + "right": "issue:3817", + "accept": false, + "reason": "Different model/pipeline requests with no shared bug or change." + }, + { + "left": "issue:4969", + "right": "issue:9248", + "accept": false, + "reason": "An import error and an install command request are not the same issue." + }, + { + "left": "issue:10100", + "right": "issue:12239", + "accept": false, + "reason": "Separate support requests for different models (ConsisID vs InfiniteTalk)." + }, + { + "left": "issue:2673", + "right": "issue:2799", + "accept": false, + "reason": "Both involve pipeline/model mismatch themes, but the concrete failures differ and do not clearly share one code path." + }, + { + "left": "issue:4232", + "right": "issue:5168", + "accept": false, + "reason": "Instruct-pix2pix training/inference support and ControlNet-XS support are distinct feature requests." + }, + { + "left": "issue:6008", + "right": "issue:9223", + "accept": false, + "reason": "A model/adapter failure and a dependency version conflict are unrelated." + }, + { + "left": "issue:1633", + "right": "issue:2737", + "accept": false, + "reason": "Both are scheduler-related enhancement requests, but they target different schedulers and features." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and conservative overall. The summary matches the packet\u2019s mostly heterogeneous set, and the lone accepted soft pair (10891/11117) is a plausible shared bfloat16/half precision mismatch without overstating certainty. The other soft-edge rejections are cautious and well-supported by the titles/body context." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 187, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10150", + "issue:10737", + "issue:10795", + "issue:11374", + "issue:11642", + "issue:1188", + "issue:12599", + "issue:1263", + "issue:12695", + "issue:12728", + "issue:12754", + "issue:1305", + "issue:13279", + "issue:1375", + "issue:3043", + "issue:3171", + "issue:3325", + "issue:3630", + "issue:3725", + "issue:4063", + "issue:4213", + "issue:4232", + "issue:4302", + "issue:4390", + "issue:4450", + "issue:4480", + "issue:4496", + "issue:457", + "issue:4598", + "issue:4747", + "issue:4849", + "issue:4912", + "issue:4978", + "issue:541", + "issue:7569", + "issue:760", + "issue:761", + "issue:7646", + "issue:8435", + "issue:9063", + "issue:911", + "issue:9161", + "issue:9450", + "issue:9539", + "issue:9861", + "issue:9895", + "issue:9936" + ], + "soft_pairs": [ + "issue:761|issue:911", + "issue:11374|issue:12695", + "issue:3171|issue:4496", + "issue:4450|issue:4849", + "issue:4232|issue:4978", + "issue:12599|issue:13279", + "issue:4912|issue:541", + "issue:10795|issue:12728", + "issue:10737|issue:9063", + "issue:10150|issue:12754", + "issue:1305|issue:4063", + "issue:1263|issue:1375", + "issue:3725|issue:4302", + "issue:1188|issue:3043", + "issue:4480|issue:7569", + "issue:4213|issue:8435", + "issue:3325|issue:7646", + "issue:457|issue:760", + "issue:11642|issue:9861", + "issue:9161|issue:9936", + "issue:10737|issue:9450", + "issue:4390|issue:4598", + "issue:9539|issue:9895", + "issue:3630|issue:4747" + ], + "prepared_review_unit_hash": "8b10405744a2f97bcb91a4b8bc9aeef1109c804ab43c22baed8668074f5d54fe", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33143, + "estimated_input_tokens": 8286, + "estimated_eval_tokens": 16828 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is noisy: the items mostly share broad diffusers/model/pipeline vocabulary but describe different bugs, feature requests, or training/runtime failures. I would reject all soft edges; there is no clear duplicate pair. No PRs are present. Issue 10150 is the closest representative of the only recurring theme (slow loading/inference).", + "confidence": 0.86, + "canonical_issue_reason": "Issue 10150 is the broadest and most central match to the only obvious theme in the set: pipeline loading/inference performance.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10150 best represents the cluster because its title directly matches the shared performance/loading theme, unlike the other items which are mostly unrelated feature requests or distinct errors.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:761", + "right": "issue:911", + "accept": false, + "reason": "Both are DreamBooth-related, but they describe different bugs: 8-bit Adam training failure vs a bad config regression." + }, + { + "left": "issue:11374", + "right": "issue:12695", + "accept": false, + "reason": "Both are feature requests for different model families; they are not the same support request." + }, + { + "left": "issue:3171", + "right": "issue:4496", + "accept": false, + "reason": "Different prompt-handling features with different behavior; no evidence of the same underlying bug/change." + }, + { + "left": "issue:4450", + "right": "issue:4849", + "accept": false, + "reason": "One is a textual inversion example failure, the other is a multi-GPU training question." + }, + { + "left": "issue:4232", + "right": "issue:4978", + "accept": false, + "reason": "Different controlnet/inpaint preprocessing topics; not the same concrete issue." + }, + { + "left": "issue:12599", + "right": "issue:13279", + "accept": false, + "reason": "A CUDA migration slowdown is unrelated to an AutoencoderRAE loading compatibility error." + }, + { + "left": "issue:4912", + "right": "issue:541", + "accept": false, + "reason": "SDXL checkpoint conversion and SageMaker deployment are unrelated topics." + }, + { + "left": "issue:10795", + "right": "issue:12728", + "accept": false, + "reason": "Different compile-time failures on different models/code paths; too broad to be duplicates." + }, + { + "left": "issue:10737", + "right": "issue:9063", + "accept": false, + "reason": "Missing image_encoder in Flux encode_image is a different bug from tokenizer instantiation failure." + }, + { + "left": "issue:10150", + "right": "issue:12754", + "accept": false, + "reason": "Slow SDXL loading/inference is not the same as from_pipe changing dtype to float32." + }, + { + "left": "issue:1305", + "right": "issue:4063", + "accept": false, + "reason": "Direct inversion editing and unloading a textual inversion checkpoint are unrelated." + }, + { + "left": "issue:1263", + "right": "issue:1375", + "accept": false, + "reason": "An import error for StableDiffusionSafetyChecker is not clearly the same as a broader import regression from PR #1365." + }, + { + "left": "issue:3725", + "right": "issue:4302", + "accept": false, + "reason": "Both mention LoRA, but one is an A1111 support failure and the other is a specific SDXL LoRA loading problem." + }, + { + "left": "issue:1188", + "right": "issue:3043", + "accept": false, + "reason": "Separate feature requests for different pipelines." + }, + { + "left": "issue:4480", + "right": "issue:7569", + "accept": false, + "reason": "Both are Mac-related, but one is an MPS crash during generation and the other is a failing FreeU test." + }, + { + "left": "issue:4213", + "right": "issue:8435", + "accept": false, + "reason": "Both involve from_single_file, but one is an accelerate dependency issue and the other is a generic runtime error." + }, + { + "left": "issue:3325", + "right": "issue:7646", + "accept": false, + "reason": "Different training scripts and different failure modes; not the same bug." + }, + { + "left": "issue:457", + "right": "issue:760", + "accept": false, + "reason": "Both are MPS artifacts/incorrect output reports, but the symptoms and version context are distinct." + }, + { + "left": "issue:11642", + "right": "issue:9861", + "accept": false, + "reason": "A no-op scaling parameter in FluxPriorReduxPipeline is unrelated to Flux training not updating the transformer." + }, + { + "left": "issue:9161", + "right": "issue:9936", + "accept": false, + "reason": "Both are distributed Flux training problems, but one is a script-specific bug report and the other is an NCCL timeout; too different to merge." + }, + { + "left": "issue:10737", + "right": "issue:9450", + "accept": false, + "reason": "Missing image_encoder in encoding is unrelated to a multi-GPU device placement mismatch." + }, + { + "left": "issue:4390", + "right": "issue:4598", + "accept": false, + "reason": "Missing requirements and error-message quality for missing dependencies are different issues." + }, + { + "left": "issue:9539", + "right": "issue:9895", + "accept": false, + "reason": "A Float8 CUDA index_select limitation is unrelated to a FluxPipeline device mismatch regression." + }, + { + "left": "issue:3630", + "right": "issue:4747", + "accept": false, + "reason": "An unknown UNet2DModel error is not the same as a missing model_index.json after loading SDXL LoRA." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 188, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1076", + "issue:1082", + "issue:10952", + "issue:11050", + "issue:11133", + "issue:11182", + "issue:12052", + "issue:13034", + "issue:13488", + "issue:1367", + "issue:1608", + "issue:200", + "issue:2195", + "issue:2439", + "issue:2579", + "issue:2722", + "issue:2843", + "issue:3094", + "issue:3103", + "issue:3171", + "issue:322", + "issue:3348", + "issue:3406", + "issue:3451", + "issue:3624", + "issue:3944", + "issue:4186", + "issue:4232", + "issue:4269", + "issue:4445", + "issue:4949", + "issue:5002", + "issue:5118", + "issue:5258", + "issue:5605", + "issue:6141", + "issue:6901", + "issue:743", + "issue:7646", + "issue:8507", + "issue:8511", + "issue:8780", + "issue:8939", + "issue:9025", + "issue:9039", + "issue:9063", + "issue:9142", + "issue:938" + ], + "soft_pairs": [ + "issue:10952|issue:9142", + "issue:1082|issue:1608", + "issue:2722|issue:743", + "issue:4186|issue:5258", + "issue:4232|issue:5118", + "issue:2195|issue:4949", + "issue:2439|issue:3103", + "issue:11050|issue:11182", + "issue:9025|issue:9039", + "issue:2579|issue:3348", + "issue:8507|issue:8511", + "issue:3171|issue:6141", + "issue:4445|issue:8780", + "issue:11133|issue:13034", + "issue:1076|issue:322", + "issue:12052|issue:13488", + "issue:3094|issue:7646", + "issue:5002|issue:6901", + "issue:1367|issue:2843", + "issue:200|issue:3406", + "issue:322|issue:938", + "issue:8939|issue:9063", + "issue:3451|issue:7646", + "issue:3624|issue:4269", + "issue:3944|issue:5605" + ], + "prepared_review_unit_hash": "302e7637421e3eab772f148b08af03d8b6af1703eead732abc76ef6ea1113a1d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34163, + "estimated_input_tokens": 8541, + "estimated_eval_tokens": 17338 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are largely unrelated despite superficial title similarity. The only plausible duplicate-style match is the Wan/offloading regression pair; the rest differ in model, pipeline, or bug symptom and should stay separate.", + "confidence": 0.33, + "canonical_issue_reason": "issue:13488 is the broad umbrella report for the offloading regression and best captures the underlying problem surface.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12052 is the most concrete reproduction of the offloading/device-mismatch failure, making it the most actionable issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10952", + "right": "issue:9142", + "accept": false, + "reason": "Different bugs: LoRA adapter-name validation versus Hunyuan DiT multi-controlnet attribute handling." + }, + { + "left": "issue:1082", + "right": "issue:1608", + "accept": false, + "reason": "Both are training failures, but one is a CUDA matmul crash and the other is a stop at 500 steps with different context." + }, + { + "left": "issue:2722", + "right": "issue:743", + "accept": false, + "reason": "Both involve conversion, but one is a ControlNet UNet mismatch after conversion and the other is a generic ckpt-to-diffusers conversion failure." + }, + { + "left": "issue:4186", + "right": "issue:5258", + "accept": false, + "reason": "Both mention refiner/inpaint, but one is SDXL inpaint not working and the other is SDXL ControlNet inpaint with refiner; not the same code path." + }, + { + "left": "issue:4232", + "right": "issue:5118", + "accept": false, + "reason": "Different features: instruct-pix2pix training/inference with controlnet versus reference_only usage guidance." + }, + { + "left": "issue:2195", + "right": "issue:4949", + "accept": false, + "reason": "Different video models and tasks: Tune-A-Video versus ProPainter in/outpainting." + }, + { + "left": "issue:2439", + "right": "issue:3103", + "accept": false, + "reason": "One is loading/running inpainting pipeline; the other is about inpainting height/width parameters." + }, + { + "left": "issue:11050", + "right": "issue:11182", + "accept": false, + "reason": "Different problems: dtype casting in SD3 ControlNet training versus unnecessary BF16 variant download." + }, + { + "left": "issue:9025", + "right": "issue:9039", + "accept": false, + "reason": "Both are Flax pipeline questions, but from_single_file TPU VM support and load_lora_weights are separate APIs." + }, + { + "left": "issue:2579", + "right": "issue:3348", + "accept": false, + "reason": "xFormers is the shared area, but one is a generic bug/misuse report and the other is a LoRA scale-feature request." + }, + { + "left": "issue:8507", + "right": "issue:8511", + "accept": false, + "reason": "Both concern SD3 training scripts, but one is train_text_encoder failure and the other is text-encoder unloading behavior; different root issues." + }, + { + "left": "issue:3171", + "right": "issue:6141", + "accept": false, + "reason": "LPW prompt support for ControlNet and control_mode/resize_mode support are distinct feature requests." + }, + { + "left": "issue:4445", + "right": "issue:8780", + "accept": false, + "reason": "A how-to question about LoRA finetuning is not the same as a model/input dtype mismatch bug." + }, + { + "left": "issue:11133", + "right": "issue:13034", + "accept": false, + "reason": "Different pipelines and symptoms: CogVideoX image-to-video bug versus WanPipeline height/width handling." + }, + { + "left": "issue:1076", + "right": "issue:322", + "accept": false, + "reason": "Completely unrelated topics: stable-diffusion-v1-5 discussion versus V-Diffusion model mention." + }, + { + "left": "issue:12052", + "right": "issue:13488", + "accept": true, + "reason": "Both describe offloading breakage leading to device-mismatch failures; 12052 is a concrete Wan 2.2 reproduction of the broader offloading regression in 13488." + }, + { + "left": "issue:3094", + "right": "issue:7646", + "accept": false, + "reason": "Different training concerns: OOM during text-to-image finetuning versus dataloader_num_workers behavior in LoRA training." + }, + { + "left": "issue:5002", + "right": "issue:6901", + "accept": false, + "reason": "Different scheduler gaps: missing use_karras_sigmas versus missing clip_sample implementation." + }, + { + "left": "issue:1367", + "right": "issue:2843", + "accept": false, + "reason": "Scheduler config saving and multi-GPU checkpoint saving are unrelated." + }, + { + "left": "issue:200", + "right": "issue:3406", + "accept": false, + "reason": "Test request for a resnet class versus an attention-class bug with only_cross_attention." + }, + { + "left": "issue:322", + "right": "issue:938", + "accept": false, + "reason": "Unrelated models/projects: V-Diffusion from Katherine versus Human Motion Diffusion Model." + }, + { + "left": "issue:8939", + "right": "issue:9063", + "accept": false, + "reason": "Both are tokenizer-loading errors, but SD3-medium tokenizer lookup and Flux slow-tokenizer instantiation are different failure modes." + }, + { + "left": "issue:3451", + "right": "issue:7646", + "accept": false, + "reason": "fp16 memory regression in train_text_to_image.py is distinct from dataloader worker tuning in LoRA training." + }, + { + "left": "issue:3624", + "right": "issue:4269", + "accept": false, + "reason": "Different TypeError sources: getattr attribute-name handling versus ControlNet check_inputs defaults." + }, + { + "left": "issue:3944", + "right": "issue:5605", + "accept": false, + "reason": "Both are Dreambooth-related, but custom network rank for LoRA and per-image caption support are different features." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The conclusions are well grounded in the packet and the wording stays mostly conservative. The Wan/offloading pair is the only clearly plausible same-bug relationship from the titles, and the other pairwise rejections are supported by visible differences in model, pipeline, or symptom. Confidence is appropriately modest." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 189, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10111", + "issue:10144", + "issue:10336", + "issue:10460", + "issue:10608", + "issue:10653", + "issue:10658", + "issue:10710", + "issue:1082", + "issue:10848", + "issue:10873", + "issue:10883", + "issue:1099", + "issue:11117", + "issue:11247", + "issue:11396", + "issue:11700", + "issue:12009", + "issue:12037", + "issue:12666", + "issue:13176", + "issue:1405", + "issue:1478", + "issue:1552", + "issue:2392", + "issue:2830", + "issue:3728", + "issue:3884", + "issue:4686", + "issue:4839", + "issue:5128", + "issue:5205", + "issue:5573", + "issue:5997", + "issue:6357", + "issue:6503", + "issue:660", + "issue:6891", + "issue:713", + "issue:7243", + "issue:7333", + "issue:775", + "issue:8500", + "issue:8565", + "issue:8588", + "issue:8759", + "issue:8876", + "issue:9166" + ], + "soft_pairs": [ + "issue:10883|issue:7243", + "issue:10658|issue:11700", + "issue:10144|issue:12666", + "issue:8500|issue:8588", + "issue:1082|issue:713", + "issue:1478|issue:4686", + "issue:10653|issue:10710", + "issue:3728|issue:7333", + "issue:10460|issue:10848", + "issue:1405|issue:1552", + "issue:660|issue:775", + "issue:1099|issue:2392", + "issue:8759|issue:9166", + "issue:10608|issue:11396", + "issue:6503|issue:6891", + "issue:5128|issue:6357", + "issue:12009|issue:12037", + "issue:11247|issue:13176", + "issue:2830|issue:5205", + "issue:11117|issue:8565", + "issue:10336|issue:10873", + "issue:5573|issue:5997", + "issue:3884|issue:4839", + "issue:10111|issue:8876" + ], + "prepared_review_unit_hash": "9f50d161617ab5f0afbcc57d45b277196b3d17e72d626975bbdbfcaebb44d697", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34043, + "estimated_input_tokens": 8511, + "estimated_eval_tokens": 17278 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly a collection of unrelated issues. The only soft pair that looks like the same underlying bug is the attention-slicing regression in `pipe.enable_attention_slicing()` / SD2.", + "confidence": 0.79, + "canonical_issue_reason": "`issue:1405` is the best canonical issue: it states the core bug broadly and matches the SD2-specific follow-up in `issue:1552`.", + "canonical_pr_reason": null, + "best_issue_reason": "`issue:1405` is the strongest issue anchor overall because it describes the root attention-slicing failure in the most general, reusable form.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10883", + "right": "issue:7243", + "accept": false, + "reason": "Different models and failures: Sana update vs ResAdapter resolution adapter." + }, + { + "left": "issue:10658", + "right": "issue:11700", + "accept": false, + "reason": "ONNX Runtime session API change vs pruna integration; unrelated changes." + }, + { + "left": "issue:10144", + "right": "issue:12666", + "accept": false, + "reason": "Mochi video quality complaint vs Kandinsky 5.0 pipeline availability; different problems." + }, + { + "left": "issue:8500", + "right": "issue:8588", + "accept": false, + "reason": "SD3 token-length question vs missing conversion script; not the same bug." + }, + { + "left": "issue:1082", + "right": "issue:713", + "accept": false, + "reason": "Both are training-related, but one is a specific CUBLAS failure and the other is a generic training error." + }, + { + "left": "issue:1478", + "right": "issue:4686", + "accept": false, + "reason": "Same pipeline family, but one is multi-image output handling and the other is loading a saved pipeline." + }, + { + "left": "issue:10653", + "right": "issue:10710", + "accept": false, + "reason": "bitsandbytes `.to()`/device movement issue vs DDUF support question; unrelated." + }, + { + "left": "issue:3728", + "right": "issue:7333", + "accept": false, + "reason": "Text-to-image pipeline proposal vs image-to-video generation request; different pipelines." + }, + { + "left": "issue:10460", + "right": "issue:10848", + "accept": false, + "reason": "Missing `mid_block_type` argument on UNet2DModel vs `load_model_dict_into_meta` unexpected `device` kwarg." + }, + { + "left": "issue:1405", + "right": "issue:1552", + "accept": true, + "reason": "Both report the same attention-slicing breakage around `enable_attention_slicing()`; `1552` is an SD2 manifestation of the same bug." + }, + { + "left": "issue:660", + "right": "issue:775", + "accept": false, + "reason": "Both involve fp16/autocast, but one is MPS-specific and the other is a broader fp16 issue." + }, + { + "left": "issue:1099", + "right": "issue:2392", + "accept": false, + "reason": "Dreambooth class-name issue vs img2img `prompt_embeds` validation error; not the same defect." + }, + { + "left": "issue:8759", + "right": "issue:9166", + "accept": false, + "reason": "Invalid cast warning in SD3 image processing vs overlay behavior; different code paths." + }, + { + "left": "issue:10608", + "right": "issue:11396", + "accept": false, + "reason": "Multi-GPU HunyuanVideo pipeline problem vs LoRA conversion to ComfyUI format; unrelated." + }, + { + "left": "issue:6503", + "right": "issue:6891", + "accept": false, + "reason": "`torch.compile()` compatibility for training scripts vs model card saving utilities; different changes." + }, + { + "left": "issue:5128", + "right": "issue:6357", + "accept": false, + "reason": "Loading local `.safetensors` from_single_file issue vs API/local result mismatch discussion; not the same bug." + }, + { + "left": "issue:12009", + "right": "issue:12037", + "accept": false, + "reason": "Both are Wan 2.2 related, but one is GGUF loading and the other is LoRA compatibility; distinct problems." + }, + { + "left": "issue:11247", + "right": "issue:13176", + "accept": false, + "reason": "Flux multi-GPU controlnet distribution vs UNet attention error; unrelated failures." + }, + { + "left": "issue:2830", + "right": "issue:5205", + "accept": false, + "reason": "Video generation question vs repaint/controlnet integration; different workflows and bugs." + }, + { + "left": "issue:11117", + "right": "issue:8565", + "accept": false, + "reason": "SD3 dtype mismatch runtime error vs SD3 LoRA loading IndexError; separate failure modes." + }, + { + "left": "issue:10336", + "right": "issue:10873", + "accept": false, + "reason": "Sana activations/clamping instability vs a SanaPipeline model-specific issue; not the same underlying bug." + }, + { + "left": "issue:5573", + "right": "issue:5997", + "accept": false, + "reason": "Slow controlnet weight initialization vs SDXL tutorial model-type mismatch; unrelated." + }, + { + "left": "issue:3884", + "right": "issue:4839", + "accept": false, + "reason": "Training script error vs `lora_scale` type error; different contexts and code paths." + }, + { + "left": "issue:10111", + "right": "issue:8876", + "accept": false, + "reason": "FLUX pipeline bugs vs PixArt Sigma microconditioning resolution bug; unrelated models." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analysis is grounded in the packet and the soft-edge verdicts are conservative. The only accepted pair, `issue:1405` / `issue:1552`, is plausibly the same attention-slicing bug, while the rest are reasonably treated as unrelated based on the issue titles. The canonical anchor choice is acceptable, though the \u201croot/general\u201d wording is a bit interpretive rather than directly evidenced." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 190, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10045", + "issue:10382", + "issue:10392", + "issue:10512", + "issue:10772", + "issue:10950", + "issue:10952", + "issue:11229", + "issue:11675", + "issue:11790", + "issue:1195", + "issue:12126", + "issue:12529", + "issue:13065", + "issue:13137", + "issue:13221", + "issue:1478", + "issue:1538", + "issue:1594", + "issue:2689", + "issue:3162", + "issue:3838", + "issue:4000", + "issue:4159", + "issue:4210", + "issue:4349", + "issue:4356", + "issue:4390", + "issue:462", + "issue:4692", + "issue:4724", + "issue:6439", + "issue:6790", + "issue:7000", + "issue:7210", + "issue:7681", + "issue:7782", + "issue:8723", + "issue:8826", + "issue:8850", + "issue:9096", + "issue:9343", + "issue:9415", + "issue:9461", + "issue:9496", + "issue:9648", + "issue:993" + ], + "soft_pairs": [ + "issue:1195|issue:993", + "issue:4356|issue:7000", + "issue:6790|issue:7782", + "issue:4210|issue:4692", + "issue:10952|issue:8826", + "issue:11675|issue:11790", + "issue:10772|issue:13065", + "issue:2689|issue:6439", + "issue:9343|issue:9415", + "issue:10512|issue:9461", + "issue:462|issue:4724", + "issue:1594|issue:3838", + "issue:10382|issue:9648", + "issue:10950|issue:7210", + "issue:1538|issue:3162", + "issue:13137|issue:13221", + "issue:1478|issue:4349", + "issue:4000|issue:8723", + "issue:10045|issue:7681", + "issue:10950|issue:8850", + "issue:10392|issue:9461", + "issue:11229|issue:9096", + "issue:10382|issue:9496", + "issue:4159|issue:4390", + "issue:12126|issue:12529" + ], + "prepared_review_unit_hash": "ba1f4a79355321f68c7b2a2eac016f8df537e8f81ce9875c63c15cdfc5890dab", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33784, + "estimated_input_tokens": 8446, + "estimated_eval_tokens": 17148 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a loose semantic cluster around loading/import/runtime issues in diffusers, but the soft pairs are generally too broad or model-specific to be true duplicates. One LoRA-weight-loading pair looks like the same bug class and likely the same fix path.", + "confidence": 0.67, + "canonical_issue_reason": "issue:10512 is the highest-activity, most representative issue in the LoRA-loading subset, so it is the best issue anchor despite the cluster being heterogeneous.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10512 has the strongest signal and discussion around a concrete recurring failure mode (LoRA load failure) among the issues here.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1195", + "right": "issue:993", + "accept": false, + "reason": "Both mention fp16/dtype problems, but one is memory-efficient attention and the other is a general stable diffusion dtype mismatch; not the same concrete bug." + }, + { + "left": "issue:4356", + "right": "issue:7000", + "accept": false, + "reason": "A missing module import error and a PyTorch deprecation warning are unrelated failures." + }, + { + "left": "issue:6790", + "right": "issue:7782", + "accept": false, + "reason": "State-dict key mismatch during LCM training and invalid safetensors conversion are different code paths." + }, + { + "left": "issue:4210", + "right": "issue:4692", + "accept": false, + "reason": "One asks about attention_mask usage; the other is a memory complaint. Same model class, different bug." + }, + { + "left": "issue:10952", + "right": "issue:8826", + "accept": false, + "reason": "LoRA adapter-name mismatch in a specific pipeline versus a torch.cat empty-list runtime error; unrelated." + }, + { + "left": "issue:11675", + "right": "issue:11790", + "accept": true, + "reason": "Both report LoRA weights failing to load, and both point to the same load_lora_weights-style failure path." + }, + { + "left": "issue:10772", + "right": "issue:13065", + "accept": false, + "reason": "Different feature requests for different models; not duplicates." + }, + { + "left": "issue:2689", + "right": "issue:6439", + "accept": false, + "reason": "Both are broken links, but they are different links in different docs contexts." + }, + { + "left": "issue:9343", + "right": "issue:9415", + "accept": false, + "reason": "Different models and different errors; only loosely related by transformer loading." + }, + { + "left": "issue:10512", + "right": "issue:9461", + "accept": false, + "reason": "One is a LoRA load failure, the other is a Flux inference issue with different symptoms." + }, + { + "left": "issue:462", + "right": "issue:4724", + "accept": false, + "reason": "Both are img2img pipeline problems, but they involve different versions/models and different failure modes." + }, + { + "left": "issue:1594", + "right": "issue:3838", + "accept": false, + "reason": "Different feature requests about video generation; not the same change or bug." + }, + { + "left": "issue:10382", + "right": "issue:9648", + "accept": false, + "reason": "Return-type mismatch in VAE forward versus VAE tiling memory overflow are unrelated." + }, + { + "left": "issue:10950", + "right": "issue:7210", + "accept": false, + "reason": "A docs page broken link and an accelerate runtime attribute error are not the same issue." + }, + { + "left": "issue:1538", + "right": "issue:3162", + "accept": false, + "reason": "Different Stable Diffusion pipeline failures with different error signatures." + }, + { + "left": "issue:13137", + "right": "issue:13221", + "accept": false, + "reason": "Both mention LoRA support, but they are different models and different reports; too broad to merge." + }, + { + "left": "issue:1478", + "right": "issue:4349", + "accept": false, + "reason": "Same pipeline family, but one is multi-image output handling and the other is missing text_encoder support." + }, + { + "left": "issue:4000", + "right": "issue:8723", + "accept": false, + "reason": "Checkpoint conversion and SD3ControlNetModel initialization are distinct operations." + }, + { + "left": "issue:10045", + "right": "issue:7681", + "accept": false, + "reason": "Generic pipeline import problem versus a specific environment/OpenSSL import failure; not the same root cause." + }, + { + "left": "issue:10950", + "right": "issue:8850", + "accept": false, + "reason": "Docs broken versus community pipelines mirror broken; different targets." + }, + { + "left": "issue:10392", + "right": "issue:9461", + "accept": false, + "reason": "Different Flux-related reports with different models and symptoms." + }, + { + "left": "issue:11229", + "right": "issue:9096", + "accept": false, + "reason": "Both are NaN inference issues, but they affect different models and likely different numerical paths." + }, + { + "left": "issue:10382", + "right": "issue:9496", + "accept": false, + "reason": "Different model components and different runtime errors." + }, + { + "left": "issue:4159", + "right": "issue:4390", + "accept": false, + "reason": "VRAM usage complaint versus missing requirements; unrelated." + }, + { + "left": "issue:12126", + "right": "issue:12529", + "accept": false, + "reason": "Both are wan2.2 issues, but one is cache_context switching and the other is tiled VAE tensor mismatch; different bugs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary stays grounded in the packet and the pairwise verdicts are appropriately conservative overall. The single accepted LoRA-loading pair is supported by the issue titles/body metadata, and the rest are mostly careful rejections of only loosely related reports." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 191, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10025", + "issue:10050", + "issue:10282", + "issue:10514", + "issue:10710", + "issue:1083", + "issue:10920", + "issue:11283", + "issue:11709", + "issue:12009", + "issue:12113", + "issue:12348", + "issue:12752", + "issue:1475", + "issue:1534", + "issue:1565", + "issue:1608", + "issue:2618", + "issue:2941", + "issue:3140", + "issue:3250", + "issue:3405", + "issue:3728", + "issue:3891", + "issue:4314", + "issue:4542", + "issue:5429", + "issue:5462", + "issue:5510", + "issue:5523", + "issue:5606", + "issue:5769", + "issue:5772", + "issue:5877", + "issue:6368", + "issue:668", + "issue:6869", + "issue:7178", + "issue:7180", + "issue:7243", + "issue:7377", + "issue:7405", + "issue:7408", + "issue:7562", + "issue:7968", + "issue:7972", + "issue:8790", + "issue:9023" + ], + "soft_pairs": [ + "issue:10025|issue:7968", + "issue:1565|issue:1608", + "issue:5510|issue:7972", + "issue:10920|issue:9023", + "issue:11283|issue:11709", + "issue:5606|issue:6368", + "issue:1083|issue:2941", + "issue:5429|issue:5462", + "issue:10282|issue:12009", + "issue:10514|issue:10710", + "issue:1534|issue:668", + "issue:5769|issue:5772", + "issue:4542|issue:7377", + "issue:1475|issue:5877", + "issue:6869|issue:7178", + "issue:3891|issue:7408", + "issue:7243|issue:8790", + "issue:3728|issue:7405", + "issue:3405|issue:4314", + "issue:2618|issue:3140", + "issue:3250|issue:5523", + "issue:12113|issue:12348", + "issue:7180|issue:7562", + "issue:10050|issue:12752" + ], + "prepared_review_unit_hash": "e8c6e843e8937c5bfb8b269c18ec587678294015828e5c5722bd36974319588a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33837, + "estimated_input_tokens": 8460, + "estimated_eval_tokens": 17176 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous issue noise across unrelated pipelines/models. Only two soft pairs look like plausible same-bug matches: WanImageToVideoPipeline tensor mismatch, and SDXL ControlNet img2img CPU offload issues. The rest are superficial title similarities and should be rejected.", + "confidence": 0.19, + "canonical_issue_reason": "No single canonical issue stands out: the items span unrelated bugs, features, and model families, so there is no clear duplicate hub.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12348 is the closest thing to a representative active bug report, but it is still not a true canonical for the rest of the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10025", + "right": "issue:7968", + "accept": false, + "reason": "Different underlying problems and model families: Flux attention mask handling vs UNetMotionModel attention in motion modules." + }, + { + "left": "issue:1565", + "right": "issue:1608", + "accept": false, + "reason": "Unrelated training/runtime issues: GPU selection/out-of-memory vs training stopping at 500 steps." + }, + { + "left": "issue:5510", + "right": "issue:7972", + "accept": false, + "reason": "Both are type-mismatch reports, but they affect different pipelines and likely different code paths." + }, + { + "left": "issue:10920", + "right": "issue:9023", + "accept": false, + "reason": "DDIMInverseScheduler inf at first step is unrelated to a generic sample-code failure." + }, + { + "left": "issue:11283", + "right": "issue:11709", + "accept": false, + "reason": "Different Wan loading failures: header deserialization vs LoRA key mismatch." + }, + { + "left": "issue:5606", + "right": "issue:6368", + "accept": false, + "reason": "Both concern LoRA loading, but the concrete bug differs: missing alpha value vs unsupported checkpoint layer alpha." + }, + { + "left": "issue:1083", + "right": "issue:2941", + "accept": false, + "reason": "Incorrect FP16 ONNX output is not the same as EulerAncestralDiscreteScheduler producing undesired results." + }, + { + "left": "issue:5429", + "right": "issue:5462", + "accept": false, + "reason": "Both are feature requests around pipelines, but they target different capabilities and model types." + }, + { + "left": "issue:10282", + "right": "issue:12009", + "accept": false, + "reason": "Both are model-loading problems, but one is an x_embedder shape mismatch and the other is a meta-tensor copy failure on Wan GGUF." + }, + { + "left": "issue:10514", + "right": "issue:10710", + "accept": false, + "reason": "Sana resolution-binning support is unrelated to DDUF format support." + }, + { + "left": "issue:1534", + "right": "issue:668", + "accept": false, + "reason": "Both are DreamBooth-related, but one is a notebook error and the other is a T4 training runtime issue." + }, + { + "left": "issue:5769", + "right": "issue:5772", + "accept": false, + "reason": "Mixed-precision training correctness and dataset performance are unrelated topics." + }, + { + "left": "issue:4542", + "right": "issue:7377", + "accept": false, + "reason": "Both mention multi-image generation, but they are different pipelines with different failures." + }, + { + "left": "issue:1475", + "right": "issue:5877", + "accept": false, + "reason": "Different training issues: class-image handling vs subprocess failures in textual inversion/DreamBooth." + }, + { + "left": "issue:6869", + "right": "issue:7178", + "accept": false, + "reason": "Both mention export_to_video, but only one gives a specific unpacking traceback; not enough evidence of the same bug." + }, + { + "left": "issue:3891", + "right": "issue:7408", + "accept": false, + "reason": "Separate new-pipeline requests for different models." + }, + { + "left": "issue:7243", + "right": "issue:8790", + "accept": false, + "reason": "ResAdapter and SDXL TensorRT + IP Adapter are distinct model/pipeline requests." + }, + { + "left": "issue:3728", + "right": "issue:7405", + "accept": false, + "reason": "Different new model/pipeline requests with no shared concrete implementation bug." + }, + { + "left": "issue:3405", + "right": "issue:4314", + "accept": false, + "reason": "ControlNet training bug is unrelated to interrupted-download write protection." + }, + { + "left": "issue:2618", + "right": "issue:3140", + "accept": false, + "reason": "ControlNet image-input support and a missing import error are different issues." + }, + { + "left": "issue:3250", + "right": "issue:5523", + "accept": false, + "reason": "Can't run KDiffusion pipeline and inconsistent results per run are not the same failure." + }, + { + "left": "issue:12113", + "right": "issue:12348", + "accept": true, + "reason": "Same pipeline and same symptom class: WanImageToVideoPipeline tensor mismatch at certain resolutions; the second issue is a broader restatement of the first." + }, + { + "left": "issue:7180", + "right": "issue:7562", + "accept": true, + "reason": "Both report CPU offload failures in StableDiffusionXLControlNetImg2ImgPipeline, with the multicontrolnet case plausibly the same code-path bug." + }, + { + "left": "issue:10050", + "right": "issue:12752", + "accept": false, + "reason": "Both are img2img-related requests, but they target different models and one also asks for inpainting; too broad to be the same change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The heterogeneity claim is supported by the titles, and the two accepted soft pairs are plausibly same-bug matches without overstating certainty. No soft-edge verdict appears to overclaim beyond the available evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 192, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10054", + "issue:10500", + "issue:10573", + "issue:10639", + "issue:10653", + "issue:10937", + "issue:11023", + "issue:11223", + "issue:11229", + "issue:11283", + "issue:11342", + "issue:11489", + "issue:11749", + "issue:12369", + "issue:3085", + "issue:3159", + "issue:3880", + "issue:4368", + "issue:4616", + "issue:5335", + "issue:539", + "issue:5710", + "issue:6095", + "issue:6287", + "issue:6363", + "issue:6439", + "issue:6463", + "issue:6695", + "issue:6725", + "issue:7303", + "issue:7418", + "issue:7441", + "issue:7456", + "issue:7629", + "issue:7636", + "issue:7681", + "issue:7848", + "issue:7931", + "issue:8560", + "issue:8850", + "issue:9025", + "issue:9031", + "issue:9034", + "issue:9397", + "issue:9680", + "issue:9729", + "issue:9731", + "issue:9933" + ], + "soft_pairs": [ + "issue:10054|issue:9933", + "issue:3880|issue:5710", + "issue:4368|issue:8560", + "issue:6363|issue:6695", + "issue:6463|issue:7456", + "issue:7303|issue:9397", + "issue:7681|issue:9034", + "issue:6095|issue:7629", + "issue:10573|issue:7931", + "issue:10500|issue:10653", + "issue:8850|issue:9680", + "issue:11023|issue:7848", + "issue:5335|issue:7418", + "issue:9025|issue:9031", + "issue:4616|issue:7636", + "issue:11229|issue:11342", + "issue:10639|issue:12369", + "issue:11489|issue:9729", + "issue:3159|issue:6439", + "issue:10937|issue:11749", + "issue:11223|issue:11283", + "issue:6287|issue:7441", + "issue:6725|issue:9731", + "issue:3085|issue:539" + ], + "prepared_review_unit_hash": "f8494f13588bb6411aa34a899954663bbdc015fde86fcf3be288dc6216cc5f6d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34114, + "estimated_input_tokens": 8529, + "estimated_eval_tokens": 17314 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the items span unrelated scheduler bugs, pipeline/device errors, training/OOM problems, docs fixes, and feature requests. None of the suggested soft pairs look like the same underlying bug or change, so I would not merge any of them or nominate a single canonical artifact.", + "confidence": 0.96, + "canonical_issue_reason": "No single issue represents the whole set; the items are not duplicates and do not share one concrete failing code path.", + "canonical_pr_reason": "No pull requests are present in this cluster.", + "best_issue_reason": "No issue is a good global canonical because the cluster is mixed across unrelated subsystems and problem types.", + "best_pr_reason": "No pull requests are present in this cluster.", + "soft_edge_verdicts": [ + { + "left": "issue:10054", + "right": "issue:9933", + "accept": false, + "reason": "Both mention scheduler/shape-related problems, but one is a torch.linspace parameter bug and the other is missing width/height in SD3 img2img; different code paths." + }, + { + "left": "issue:3880", + "right": "issue:5710", + "accept": false, + "reason": "Inpainting degradation and missing self.sigmas in a scheduler initialization are unrelated bugs." + }, + { + "left": "issue:4368", + "right": "issue:8560", + "accept": false, + "reason": "Both are OOM reports, but they concern different models and training setups, not the same bug." + }, + { + "left": "issue:6363", + "right": "issue:6695", + "accept": false, + "reason": "These are distinct training/subprocess errors with no shared failure mode beyond generic runtime failure." + }, + { + "left": "issue:6463", + "right": "issue:7456", + "accept": false, + "reason": "Missing audio_diffusion pipeline and a generic missing raise statement are not the same issue." + }, + { + "left": "issue:7303", + "right": "issue:9397", + "accept": false, + "reason": "Zero-SNR scheduler creation and SGMUniform scheduler support for Hyper LoRAs are different feature/bug requests." + }, + { + "left": "issue:7681", + "right": "issue:9034", + "accept": false, + "reason": "A cryptography/OpenSSL import failure is unrelated to an AutoPipeline dependency requirement issue." + }, + { + "left": "issue:6095", + "right": "issue:7629", + "accept": false, + "reason": "Both involve SVD/scheduling, but one is an IndexError in Euler discrete scheduling and the other is a PyTorch 1.13.1 OOM difference; not the same bug." + }, + { + "left": "issue:10573", + "right": "issue:7931", + "accept": false, + "reason": "Both involve ControlNet inpaint pipelines, but one is padding_mask_crop with multiple controlnets and the other is IP-Adapter image_embeds; separate code paths." + }, + { + "left": "issue:10500", + "right": "issue:10653", + "accept": false, + "reason": "Both are BitsAndBytes device-mismatch complaints, but one is about HunyuanVideo local inference and the other is a specific .to(cpu) limitation on the transformer module; not clearly the same fix." + }, + { + "left": "issue:8850", + "right": "issue:9680", + "accept": false, + "reason": "Community pipelines mirror issues and SDXL unconditional generation are unrelated." + }, + { + "left": "issue:11023", + "right": "issue:7848", + "accept": false, + "reason": "Both concern a custom LPW/SDXL pipeline, but one is blur on Playground v2.5 and the other is incorrect decoding in a community example; not the same underlying bug." + }, + { + "left": "issue:5335", + "right": "issue:7418", + "accept": false, + "reason": "Local deployment behind a government block and an example-code bug are unrelated." + }, + { + "left": "issue:9025", + "right": "issue:9031", + "accept": false, + "reason": "Using FlaxStableDiffusionPipeline with from_single_file and disabling the safety checker are separate usage questions." + }, + { + "left": "issue:4616", + "right": "issue:7636", + "accept": false, + "reason": "An SDXL LoRA conversion script issue and a ControlNet tile model usage question are not duplicates." + }, + { + "left": "issue:11229", + "right": "issue:11342", + "accept": false, + "reason": "NaNs from attention slicing on SDXL/MPS and Sana-sprint failing on MPS are both platform-related, but they affect different pipelines and likely different causes." + }, + { + "left": "issue:10639", + "right": "issue:12369", + "accept": false, + "reason": "Adding support for Lumina-Image 2.0 and a Wan 2.1 CineScale scaling request are different feature requests." + }, + { + "left": "issue:11489", + "right": "issue:9729", + "accept": false, + "reason": "Flux LoRA training error and unexpected save_model for T5EncoderModel are both training-related, but they are different failures in different scripts." + }, + { + "left": "issue:3159", + "right": "issue:6439", + "accept": false, + "reason": "A typo in documentation code and a broken docs link are separate documentation issues." + }, + { + "left": "issue:10937", + "right": "issue:11749", + "accept": false, + "reason": "Both mention compile/timesteps behavior, but one is torch.compile failing on vae.encode and the other is floating-point timestep errors in a scheduler; not the same bug." + }, + { + "left": "issue:11223", + "right": "issue:11283", + "accept": false, + "reason": "Layer-wise upcasting OOM with LoRAs and Wan header deserialization failure are unrelated." + }, + { + "left": "issue:6287", + "right": "issue:7441", + "accept": false, + "reason": "Unused dependencies in setup.py and pytest failing on Python 3.12 are different repository maintenance issues." + }, + { + "left": "issue:6725", + "right": "issue:9731", + "accept": false, + "reason": "Generating images with LDMPipeline and using Playground2.5 for style training are unrelated pipeline/usage topics." + }, + { + "left": "issue:3085", + "right": "issue:539", + "accept": false, + "reason": "A removed cache-folder argument and an unexpected allow_patterns keyword in snapshot_download are different API compatibility issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 193, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10057", + "issue:10282", + "issue:10321", + "issue:1037", + "issue:10398", + "issue:10757", + "issue:11023", + "issue:11063", + "issue:11519", + "issue:1207", + "issue:1290", + "issue:1433", + "issue:1445", + "issue:1539", + "issue:1544", + "issue:1941", + "issue:2044", + "issue:2311", + "issue:2321", + "issue:2635", + "issue:2728", + "issue:3019", + "issue:3043", + "issue:3623", + "issue:3901", + "issue:4159", + "issue:4446", + "issue:4609", + "issue:4615", + "issue:4648", + "issue:6142", + "issue:6162", + "issue:6368", + "issue:6506", + "issue:6839", + "issue:7177", + "issue:7219", + "issue:7243", + "issue:8373", + "issue:8410", + "issue:8613", + "issue:8863", + "issue:8885", + "issue:8975", + "issue:9450", + "issue:9551", + "issue:9904" + ], + "soft_pairs": [ + "issue:1941|issue:2728", + "issue:3623|issue:4446", + "issue:7243|issue:9551", + "issue:6162|issue:8863", + "issue:4648|issue:7177", + "issue:6506|issue:6839", + "issue:11519|issue:8410", + "issue:1433|issue:1445", + "issue:3019|issue:4609", + "issue:11023|issue:8613", + "issue:3901|issue:4159", + "issue:10057|issue:8885", + "issue:10321|issue:10398", + "issue:2311|issue:2635", + "issue:1037|issue:1290", + "issue:3043|issue:7219", + "issue:1207|issue:2044", + "issue:11063|issue:8373", + "issue:4615|issue:6142", + "issue:10757|issue:8975", + "issue:10282|issue:6368", + "issue:9450|issue:9904", + "issue:1207|issue:1544", + "issue:1539|issue:2321" + ], + "prepared_review_unit_hash": "5b12db32c127df8dbfa20f7568c910e358e1f5464778a5fae6586a699bbbe8f3", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33522, + "estimated_input_tokens": 8381, + "estimated_eval_tokens": 17018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The candidate edges are mostly superficial similarities across unrelated Diffusers issues; I would reject all soft matches. The cluster is too heterogeneous to have a strong duplicate center, but the most representative issue is the single-file loading failure around StableVideoDiffusionPipeline.", + "confidence": 0.34, + "canonical_issue_reason": "issue:6839 is the clearest representative of the recurring model-loading/from_single_file theme in this set, with a concrete reproducible failure mode.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6839 is a focused bug report with a concrete API path and clear user impact, making it the best single issue to stand in for this loose loading-related cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1941", + "right": "issue:2728", + "accept": false, + "reason": "Both are model-loading failures, but for different pipelines and different failure modes; not the same underlying bug." + }, + { + "left": "issue:3623", + "right": "issue:4446", + "accept": false, + "reason": "One is a generic large-model loading complaint, the other is about custom text_encoder support in from_single_file; related but not duplicates." + }, + { + "left": "issue:7243", + "right": "issue:9551", + "accept": false, + "reason": "Both request model/pipeline support, but they target different capabilities and concrete changes." + }, + { + "left": "issue:6162", + "right": "issue:8863", + "accept": false, + "reason": "Shape mismatch in IP-Adapter loading versus a tuple/shape attribute error; distinct code paths and failures." + }, + { + "left": "issue:4648", + "right": "issue:7177", + "accept": false, + "reason": "Both involve pipeline loading, but the missing config.json in one case and StableCascadeDecoderPipeline.from_pretrained in the other are different issues." + }, + { + "left": "issue:6506", + "right": "issue:6839", + "accept": false, + "reason": "Output formatting bug vs inability to use from_single_file; different behavior and fix scope." + }, + { + "left": "issue:11519", + "right": "issue:8410", + "accept": false, + "reason": "Both are feature requests for new model support, but they are separate model families and separate changes." + }, + { + "left": "issue:1433", + "right": "issue:1445", + "accept": false, + "reason": "Both are ONNX-related AttributeErrors, but they affect different classes and call paths." + }, + { + "left": "issue:3019", + "right": "issue:4609", + "accept": false, + "reason": "Unrelated community/model support requests; no shared concrete bug or change." + }, + { + "left": "issue:11023", + "right": "issue:8613", + "accept": false, + "reason": "Blurred outputs in a custom pipeline versus an OOM during caption-column use; not the same underlying problem." + }, + { + "left": "issue:3901", + "right": "issue:4159", + "accept": false, + "reason": "Missing requirements.txt is a repository/file issue, while DiffEdit VRAM use is a runtime memory problem." + }, + { + "left": "issue:10057", + "right": "issue:8885", + "accept": false, + "reason": "FluxTransformer2DModel.from_single_file token handling is unrelated to installing clip-retrieval and loading modifier tokens in Custom Diffusion." + }, + { + "left": "issue:10321", + "right": "issue:10398", + "accept": false, + "reason": "Missing model files for LTX-Video versus missing target modules for LoRA/base-model mapping; different root causes." + }, + { + "left": "issue:2311", + "right": "issue:2635", + "accept": false, + "reason": "General scheduler discussion, but they ask different questions and do not describe the same bug or change." + }, + { + "left": "issue:1037", + "right": "issue:1290", + "accept": false, + "reason": "Separate community-pipeline requests for different models; not duplicates." + }, + { + "left": "issue:3043", + "right": "issue:7219", + "accept": false, + "reason": "Different model additions (ODISE vs SUPIR), so not the same underlying change request." + }, + { + "left": "issue:1207", + "right": "issue:2044", + "accept": false, + "reason": "CUDA runtime symbol error versus a DistributedDataParallel dtype attribute error; unrelated failures." + }, + { + "left": "issue:11063", + "right": "issue:8373", + "accept": false, + "reason": "Incorrect padding logic and incorrect error message are different bugs." + }, + { + "left": "issue:4615", + "right": "issue:6142", + "accept": false, + "reason": "ImportError for a pipeline class versus a missing function NameError; unrelated." + }, + { + "left": "issue:10757", + "right": "issue:8975", + "accept": false, + "reason": "A variable-name fix in a conversion script is unrelated to an import error for LoraLoaderMixin." + }, + { + "left": "issue:10282", + "right": "issue:6368", + "accept": false, + "reason": "Both are loading/adapter-related, but the first is a tensor shape mismatch and the second is unsupported LoRA checkpoint metadata." + }, + { + "left": "issue:9450", + "right": "issue:9904", + "accept": false, + "reason": "Both are FluxPipeline issues, but one is a device-placement error and the other is image-shape rounding; different bugs." + }, + { + "left": "issue:1207", + "right": "issue:1544", + "accept": false, + "reason": "CUDA environment/runtime failure versus scheduler API missing method; unrelated." + }, + { + "left": "issue:1539", + "right": "issue:2321", + "accept": false, + "reason": "Conversion-script type handling is not the same as EMA weight handling during inference." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 194, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10111", + "issue:10226", + "issue:10675", + "issue:10796", + "issue:10994", + "issue:11014", + "issue:11023", + "issue:11396", + "issue:1160", + "issue:1166", + "issue:1290", + "issue:12995", + "issue:1617", + "issue:1677", + "issue:197", + "issue:1974", + "issue:200", + "issue:2083", + "issue:2221", + "issue:2560", + "issue:3043", + "issue:3706", + "issue:3891", + "issue:4436", + "issue:4609", + "issue:462", + "issue:4648", + "issue:5300", + "issue:541", + "issue:5881", + "issue:6141", + "issue:6234", + "issue:6278", + "issue:6374", + "issue:6518", + "issue:6688", + "issue:7142", + "issue:7513", + "issue:785", + "issue:8485", + "issue:8588", + "issue:8834", + "issue:8880", + "issue:8918", + "issue:9258", + "issue:9895", + "issue:9958" + ], + "soft_pairs": [ + "issue:1617|issue:2221", + "issue:10010|issue:4648", + "issue:1290|issue:541", + "issue:11023|issue:12995", + "issue:10111|issue:10675", + "issue:10796|issue:11396", + "issue:197|issue:200", + "issue:2560|issue:462", + "issue:3043|issue:3891", + "issue:3043|issue:6688", + "issue:6234|issue:8588", + "issue:6374|issue:9258", + "issue:8880|issue:9895", + "issue:1160|issue:1166", + "issue:3706|issue:4609", + "issue:6141|issue:9958", + "issue:10226|issue:10994", + "issue:1677|issue:785", + "issue:5881|issue:7142", + "issue:6278|issue:6518", + "issue:10010|issue:10675", + "issue:4436|issue:5300", + "issue:6234|issue:8918", + "issue:8485|issue:8834", + "issue:1974|issue:2083", + "issue:11014|issue:7513" + ], + "prepared_review_unit_hash": "044806235a9aeccdc6668599f2f84cfd7b1b80cc7ff1cc6d4af4dc09520a33e9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34271, + "estimated_input_tokens": 8568, + "estimated_eval_tokens": 17392 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose FLUX/Stable Diffusion issue mix with many false-positive similarity links. None of the soft pairs look like true duplicates or mergeable one-PR fixes. Issue 10111 is the closest umbrella FLUX tracker, but it does not subsume the specific bugs.", + "confidence": 0.9, + "canonical_issue_reason": "Issue 10111 is the broadest FLUX umbrella in the set and the closest thing to a cluster anchor, though it is still not a duplicate of the specific reports.", + "canonical_pr_reason": null, + "best_issue_reason": "10111 is the most generic and central issue here, so it is the best representative if one issue must stand in for the cluster; still, the underlying reports are too diverse for true deduping.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1617", + "right": "issue:2221", + "accept": false, + "reason": "Both mention errors, but one is a missing-args CLI failure and the other is a ColossalAI error; unrelated bug causes." + }, + { + "left": "issue:10010", + "right": "issue:4648", + "accept": false, + "reason": "Both are file-not-found style failures, but they involve different models, paths, and contexts (FLUX Fill example vs ControlNet config)." + }, + { + "left": "issue:1290", + "right": "issue:541", + "accept": false, + "reason": "One is a community model proposal, the other is a SageMaker discussion; not the same issue." + }, + { + "left": "issue:11023", + "right": "issue:12995", + "accept": false, + "reason": "Different products and questions: blur in a playground pipeline versus whether Cosmos-Predict2.5 generates or reconstructs video." + }, + { + "left": "issue:10111", + "right": "issue:10675", + "accept": false, + "reason": "Both are FLUX-related, but one is a broad bug tracker and the other is a specific scheduler max_shift config difference." + }, + { + "left": "issue:10796", + "right": "issue:11396", + "accept": false, + "reason": "Both ask for guidance, but on different models and workflows (HunyuanVideo LoRA docs vs Hidream LoRA conversion)." + }, + { + "left": "issue:197", + "right": "issue:200", + "accept": false, + "reason": "Dead-code cleanup versus a ResNet test request; no shared underlying bug or change." + }, + { + "left": "issue:2560", + "right": "issue:462", + "accept": false, + "reason": "Both concern img2img behavior, but one is list-of-generators output mismatch and the other is an Apple MPS regression." + }, + { + "left": "issue:3043", + "right": "issue:3891", + "accept": false, + "reason": "Both are feature additions, but for completely different models (ODISE vs Tortoise TTS)." + }, + { + "left": "issue:3043", + "right": "issue:6688", + "accept": false, + "reason": "Feature requests for different pipelines/models; not the same code-path change." + }, + { + "left": "issue:6234", + "right": "issue:8588", + "accept": false, + "reason": "Different scripts and model families: SDXL training script issue versus missing SD3 conversion script." + }, + { + "left": "issue:6374", + "right": "issue:9258", + "accept": false, + "reason": "Unrelated topics and models; the Chinese Qwen LoRA weight question is not the FLUX Windows performance report." + }, + { + "left": "issue:8880", + "right": "issue:9895", + "accept": false, + "reason": "Both are Flux inference-related, but one is a speed regression and the other is a device placement error; different bugs." + }, + { + "left": "issue:1160", + "right": "issue:1166", + "accept": false, + "reason": "Both hang, but in different tests and code paths (custom pipeline test vs TPU textual inversion saving)." + }, + { + "left": "issue:3706", + "right": "issue:4609", + "accept": false, + "reason": "Separate model additions: Wuerstchen versus t2iadapter_style_sd14v1." + }, + { + "left": "issue:6141", + "right": "issue:9958", + "accept": false, + "reason": "ControlNet parameter support and AutoencoderKLTemporalDecoder tiling are unrelated feature requests." + }, + { + "left": "issue:10226", + "right": "issue:10994", + "accept": false, + "reason": "Both are Flux DreamBooth/LoRA training issues, but the reported failures differ (tensor mismatch vs batch-size>1 crash)." + }, + { + "left": "issue:1677", + "right": "issue:785", + "accept": false, + "reason": "Wrong data type calling StableDiffusionPipeline is unrelated to PNDMScheduler performance cost." + }, + { + "left": "issue:5881", + "right": "issue:7142", + "accept": false, + "reason": "Both compare results against other repos, but they are different models and different quality regressions." + }, + { + "left": "issue:6278", + "right": "issue:6518", + "accept": false, + "reason": "Same script family, but different failures: multi-GPU setup versus a NoneType floor-division crash." + }, + { + "left": "issue:10010", + "right": "issue:10675", + "accept": false, + "reason": "A FLUX Fill model-index 404 and a scheduler max_shift discrepancy are different bugs." + }, + { + "left": "issue:4436", + "right": "issue:5300", + "accept": false, + "reason": "Converting a CIVITAI model to diffusers is unrelated to the package unexpectedly connecting to the internet." + }, + { + "left": "issue:6234", + "right": "issue:8918", + "accept": false, + "reason": "Different training scripts and model families: SDXL text-to-image training versus SD3 DreamBooth." + }, + { + "left": "issue:8485", + "right": "issue:8834", + "accept": false, + "reason": "Support for SD3 LoRA and releasing SD3 ControlNet training code are separate feature requests." + }, + { + "left": "issue:1974", + "right": "issue:2083", + "accept": false, + "reason": "Both mention generators and schedulers, but they affect different schedulers and different failure modes." + }, + { + "left": "issue:11014", + "right": "issue:7513", + "accept": false, + "reason": "Both are resource problems, but one is an OOM on Colab A100 and the other is a DreamBooth run on a 3060; not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 195, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10054", + "issue:10855", + "issue:10920", + "issue:11178", + "issue:11448", + "issue:11540", + "issue:12436", + "issue:12483", + "issue:12761", + "issue:1350", + "issue:1524", + "issue:1539", + "issue:1617", + "issue:1976", + "issue:2161", + "issue:2676", + "issue:2830", + "issue:2984", + "issue:3073", + "issue:3963", + "issue:3974", + "issue:3984", + "issue:4178", + "issue:4194", + "issue:4213", + "issue:4605", + "issue:4611", + "issue:4647", + "issue:4665", + "issue:5108", + "issue:5320", + "issue:5341", + "issue:5557", + "issue:5731", + "issue:5877", + "issue:6572", + "issue:6958", + "issue:7183", + "issue:7456", + "issue:7686", + "issue:8465", + "issue:8637", + "issue:8790", + "issue:9096", + "issue:9350", + "issue:9799", + "issue:9895" + ], + "soft_pairs": [ + "issue:9350|issue:9799", + "issue:4213|issue:5108", + "issue:1350|issue:3073", + "issue:12436|issue:12483", + "issue:2830|issue:4611", + "issue:5731|issue:7456", + "issue:6572|issue:8790", + "issue:2676|issue:3974", + "issue:4647|issue:6958", + "issue:1539|issue:1976", + "issue:2161|issue:4605", + "issue:10920|issue:9096", + "issue:10054|issue:7183", + "issue:10855|issue:12761", + "issue:2984|issue:3073", + "issue:11540|issue:9895", + "issue:1617|issue:5557", + "issue:11178|issue:8465", + "issue:3984|issue:7686", + "issue:4178|issue:4194", + "issue:3963|issue:4665", + "issue:5320|issue:5341", + "issue:11448|issue:8637", + "issue:1524|issue:5877" + ], + "prepared_review_unit_hash": "48478e07a5f574f4af4fb4d43a9e86551a2f8dcd9fa8e72524dda6a15d7a0f59", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33781, + "estimated_input_tokens": 8446, + "estimated_eval_tokens": 17148 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated one-off issues. The only likely duplicate pair is the CLIPTextModel/offload_state_dict vs diffusers/transformers TypeError report; the rest are just loosely similar by subsystem or wording.", + "confidence": 0.89, + "canonical_issue_reason": "Pick issue #12483 as the canonical issue: it states the broader dependency/version conflict and best captures the underlying CLIPTextModel TypeError that issue #12436 reports more narrowly.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #12483 is the most complete and general report for the shared TypeError/compatibility problem, so it is the best representative issue in this cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9350", + "right": "issue:9799", + "accept": false, + "reason": "Different failures: a deprecation warning about txt_ids shape versus a runtime tensor size mismatch." + }, + { + "left": "issue:4213", + "right": "issue:5108", + "accept": false, + "reason": "Both involve pipeline/model usage, but they describe different errors and different features." + }, + { + "left": "issue:1350", + "right": "issue:3073", + "accept": false, + "reason": "One is an object-detection project request, the other is a request to add consistency models; not the same bug/change." + }, + { + "left": "issue:12436", + "right": "issue:12483", + "accept": true, + "reason": "Same underlying compatibility bug: CLIPTextModel receiving an unexpected offload_state_dict kwarg / TypeError from diffusers-transformers mismatch." + }, + { + "left": "issue:2830", + "right": "issue:4611", + "accept": false, + "reason": "Both mention video/modelscope, but they are unrelated feature requests/issues." + }, + { + "left": "issue:5731", + "right": "issue:7456", + "accept": false, + "reason": "Different code paths: missing trainable logvar in AutoencoderKL vs a missing raise statement." + }, + { + "left": "issue:6572", + "right": "issue:8790", + "accept": false, + "reason": "Completely different model/pipeline areas and error conditions." + }, + { + "left": "issue:2676", + "right": "issue:3974", + "accept": false, + "reason": "Scheduler-name lookup and safetensors loading are unrelated problems." + }, + { + "left": "issue:4647", + "right": "issue:6958", + "accept": false, + "reason": "Both are architecture/config issues, but they affect different models and different missing parameters." + }, + { + "left": "issue:1539", + "right": "issue:1976", + "accept": false, + "reason": "Conversion-script type handling is unrelated to the tokenizer/config file lookup error." + }, + { + "left": "issue:2161", + "right": "issue:4605", + "accept": false, + "reason": "Both mention inpainting, but they are different training/pipeline bugs." + }, + { + "left": "issue:10920", + "right": "issue:9096", + "accept": false, + "reason": "Different numerical issues: first-iteration inf in a scheduler versus Flux half-precision NaNs." + }, + { + "left": "issue:10054", + "right": "issue:7183", + "accept": false, + "reason": "One is about linspace parameters for beta sigmas; the other is an incorrect scheduler class name in config." + }, + { + "left": "issue:10855", + "right": "issue:12761", + "accept": false, + "reason": "Gradient accumulation stepping and an autograd gradient-count error are unrelated." + }, + { + "left": "issue:2984", + "right": "issue:3073", + "accept": false, + "reason": "A research/project issue versus a request to add a different model family." + }, + { + "left": "issue:11540", + "right": "issue:9895", + "accept": false, + "reason": "Different Flux problems: VAE slicing noise versus device placement mismatch." + }, + { + "left": "issue:1617", + "right": "issue:5557", + "accept": false, + "reason": "Command-line argument parsing failure is unrelated to an unexpected keyword argument in another API." + }, + { + "left": "issue:11178", + "right": "issue:8465", + "accept": false, + "reason": "Both are from_single_file loading errors, but the models and exact failure modes differ; not enough evidence of the same bug." + }, + { + "left": "issue:3984", + "right": "issue:7686", + "accept": false, + "reason": "Different validation errors about different UNet configuration fields." + }, + { + "left": "issue:4178", + "right": "issue:4194", + "accept": false, + "reason": "LoRA unloading with XFormers and from_single_file VAE behavior are separate issues." + }, + { + "left": "issue:3963", + "right": "issue:4665", + "accept": false, + "reason": "Both touch Windows/model loading, but one is auto-download behavior and the other is safetensors/bin selection." + }, + { + "left": "issue:5320", + "right": "issue:5341", + "accept": false, + "reason": "One is an API enhancement request and the other is an example-script update; not the same underlying problem." + }, + { + "left": "issue:11448", + "right": "issue:8637", + "accept": false, + "reason": "Different missing-model/import errors in unrelated features." + }, + { + "left": "issue:1524", + "right": "issue:5877", + "accept": false, + "reason": "Poor training quality in textual inversion is not the same as subprocess failures in training scripts." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the one accepted soft edge (issue:12436 vs issue:12483) is conservative and well supported by the titles. The other soft verdicts are also cautious and appropriately treat only loosely similar items as non-duplicates." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 196, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10016", + "issue:10210", + "issue:10511", + "issue:1060", + "issue:1082", + "issue:10883", + "issue:10886", + "issue:10887", + "issue:10987", + "issue:11410", + "issue:11700", + "issue:12367", + "issue:2052", + "issue:2437", + "issue:3043", + "issue:3112", + "issue:3140", + "issue:3467", + "issue:3537", + "issue:3647", + "issue:3699", + "issue:4407", + "issue:4418", + "issue:4648", + "issue:4702", + "issue:4830", + "issue:4935", + "issue:5022", + "issue:5118", + "issue:5476", + "issue:5968", + "issue:6234", + "issue:6287", + "issue:6560", + "issue:7003", + "issue:7043", + "issue:7191", + "issue:7350", + "issue:7418", + "issue:743", + "issue:8234", + "issue:8809", + "issue:8837", + "issue:9101", + "issue:9147", + "issue:9171", + "issue:9933", + "issue:9958" + ], + "soft_pairs": [ + "issue:3699|issue:4418", + "issue:3140|issue:7191", + "issue:3112|issue:5118", + "issue:10016|issue:7003", + "issue:10210|issue:8809", + "issue:4830|issue:8234", + "issue:5968|issue:9101", + "issue:7418|issue:8837", + "issue:6560|issue:9171", + "issue:1060|issue:743", + "issue:5022|issue:9147", + "issue:10511|issue:10883", + "issue:10886|issue:10987", + "issue:10887|issue:11700", + "issue:11410|issue:9933", + "issue:12367|issue:9958", + "issue:2052|issue:3467", + "issue:2437|issue:3043", + "issue:3537|issue:4702", + "issue:4407|issue:4648", + "issue:4935|issue:7350", + "issue:5476|issue:7043", + "issue:6234|issue:6287", + "issue:1082|issue:3647" + ], + "prepared_review_unit_hash": "2458455e20ce43a551ea0483a4ca1cf505dcb259c188622781a72ff3d5ab23cf", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34103, + "estimated_input_tokens": 8526, + "estimated_eval_tokens": 17308 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft edges are all false positives: these issues span unrelated bugs, features, and scripts, with only superficial keyword overlap. No duplicate cluster is evident, so there is no safe canonical item to collapse to.", + "confidence": 0.92, + "canonical_issue_reason": "No true duplicate cluster is apparent; the linked issues are mostly unrelated, so choosing a canonical issue would be arbitrary.", + "canonical_pr_reason": null, + "best_issue_reason": "No single issue cleanly represents this set as a whole because the items cover different models, pipelines, scripts, and error classes.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3699", + "right": "issue:4418", + "accept": false, + "reason": "Different problems: macOS CUDA availability error vs SDXL inpaint denoising_start behavior." + }, + { + "left": "issue:3140", + "right": "issue:7191", + "accept": false, + "reason": "Both are import-related, but one is a missing StableDiffusionControlNetPipeline import and the other is an unspecified strange import problem." + }, + { + "left": "issue:3112", + "right": "issue:5118", + "accept": false, + "reason": "Multi-ControlNet inpainting and ControlNet reference_only are different features/problems." + }, + { + "left": "issue:10016", + "right": "issue:7003", + "accept": false, + "reason": "Both mention shape mismatches, but they involve different models and code paths: SD3.5 single-file loading vs StableDiffusionInpaintPipeline." + }, + { + "left": "issue:10210", + "right": "issue:8809", + "accept": false, + "reason": "Flux img2img near-identical output is unrelated to feedforward output inconsistency with sequence length." + }, + { + "left": "issue:4830", + "right": "issue:8234", + "accept": false, + "reason": "Wrong tensor size in MultiControlNet is not the same as ip_adapter_scale dict multiplication error." + }, + { + "left": "issue:5968", + "right": "issue:9101", + "accept": false, + "reason": "ONNX conversion for text/video pipelines is unrelated to an SD3 InstructPix2Pix training script request." + }, + { + "left": "issue:7418", + "right": "issue:8837", + "accept": false, + "reason": "A bug in a community upscale script is different from a sliced attention processor bug." + }, + { + "left": "issue:6560", + "right": "issue:9171", + "accept": false, + "reason": "LoRA shape regression and SD1.5 v_prediction single-file loading are distinct loading/training issues." + }, + { + "left": "issue:1060", + "right": "issue:743", + "accept": false, + "reason": "Conversion-script safety-checker failure and general ckpt-to-diffusers conversion failure are not the same underlying bug." + }, + { + "left": "issue:5022", + "right": "issue:9147", + "accept": false, + "reason": "Undefined PreTrainedTokenizer import and Flux autopipeline error are unrelated import/runtime issues." + }, + { + "left": "issue:10511", + "right": "issue:10883", + "accept": false, + "reason": "Scheduler redesign for SD3/Flux is not the same as a Marigold model/pipeline update." + }, + { + "left": "issue:10886", + "right": "issue:10987", + "accept": false, + "reason": "Time series diffusion and spatio-temporal diffusion are adjacent ideas, but not the same bug or change request." + }, + { + "left": "issue:10887", + "right": "issue:11700", + "accept": false, + "reason": "Missing StableDiffusionXLTrainer import is unrelated to pruna integration for model loading." + }, + { + "left": "issue:11410", + "right": "issue:9933", + "accept": false, + "reason": "Attention processor unpacking error is a different code-path from missing width/height parameters in SD3 img2img." + }, + { + "left": "issue:12367", + "right": "issue:9958", + "accept": false, + "reason": "Qwen-Image Lora support and AutoencoderKLTemporalDecoder tiling are unrelated feature requests." + }, + { + "left": "issue:2052", + "right": "issue:3467", + "accept": false, + "reason": "Both concern resuming training, but they affect different scripts and failure modes." + }, + { + "left": "issue:2437", + "right": "issue:3043", + "accept": false, + "reason": "T2I-Adapter pipeline and ODISE are different pipeline additions, not duplicates." + }, + { + "left": "issue:3537", + "right": "issue:4702", + "accept": false, + "reason": "ControlNet conversion tooling and a VQ-VAE training example are unrelated." + }, + { + "left": "issue:4407", + "right": "issue:4648", + "accept": false, + "reason": "Local hub download storage and missing config.json loading errors are different issues." + }, + { + "left": "issue:4935", + "right": "issue:7350", + "accept": false, + "reason": "LoRA layer usage in an SDXL training script is not the same as initializing ControlNet from a UNet with LoRA." + }, + { + "left": "issue:5476", + "right": "issue:7043", + "accept": false, + "reason": "xformers loading compatibility and DreamBooth custom captions are unrelated." + }, + { + "left": "issue:6234", + "right": "issue:6287", + "accept": false, + "reason": "An example training script issue and unused setup dependencies are not the same bug." + }, + { + "left": "issue:1082", + "right": "issue:3647", + "accept": false, + "reason": "DreamBooth CUDA execution failure and DreamBooth with DeepFloyd are different problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 197, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10003", + "issue:10382", + "issue:10893", + "issue:11221", + "issue:11468", + "issue:11555", + "issue:11574", + "issue:12113", + "issue:12754", + "issue:1290", + "issue:1530", + "issue:1919", + "issue:2091", + "issue:2185", + "issue:2552", + "issue:2661", + "issue:2662", + "issue:3085", + "issue:3162", + "issue:3647", + "issue:3788", + "issue:4321", + "issue:4529", + "issue:4830", + "issue:4975", + "issue:5037", + "issue:5233", + "issue:556", + "issue:5737", + "issue:5791", + "issue:5897", + "issue:5989", + "issue:6016", + "issue:6218", + "issue:6666", + "issue:7405", + "issue:7460", + "issue:8647", + "issue:8831", + "issue:8970", + "issue:9171", + "issue:9181", + "issue:9227", + "issue:9370", + "issue:9464", + "issue:9479", + "issue:9894" + ], + "soft_pairs": [ + "issue:10003|issue:9479", + "issue:2185|issue:2552", + "issue:1530|issue:3162", + "issue:6218|issue:9181", + "issue:4830|issue:5233", + "issue:11574|issue:12113", + "issue:5737|issue:6016", + "issue:3788|issue:7405", + "issue:10382|issue:9370", + "issue:11221|issue:11468", + "issue:4975|issue:8831", + "issue:10893|issue:9894", + "issue:5989|issue:7460", + "issue:1919|issue:3647", + "issue:1290|issue:556", + "issue:4321|issue:8970", + "issue:8647|issue:9171", + "issue:5037|issue:6666", + "issue:2091|issue:2661", + "issue:2091|issue:2662", + "issue:5791|issue:5897", + "issue:3085|issue:4529", + "issue:11555|issue:12754", + "issue:9227|issue:9464" + ], + "prepared_review_unit_hash": "c554dfbd4304a64593618c6a55bee41881867c3025391f340b7e02386d1777ac", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33536, + "estimated_input_tokens": 8384, + "estimated_eval_tokens": 17024 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly unrelated issues, but it does contain at least two strong duplicate pockets: VQDiffusion `learned_classifier_free_sampling_embeddings` (1530/3162) and checkpoint write-error reports (2661/2662).", + "confidence": 0.89, + "canonical_issue_reason": "issue:2662 is the best canonical issue for the checkpoint-write-error duplicate pocket because it is the more generic member of the 2661/2662 pair; issue:3162 is a separate duplicate pocket, not the same thread.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2662 is the clearest single representative in the cluster: it belongs to a near-identical duplicate pair with an almost matching body and a generic title.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10003", + "right": "issue:9479", + "accept": false, + "reason": "Both are Stable Diffusion bugs, but the scheduler failure and inpaint mask issue are different code paths and symptoms." + }, + { + "left": "issue:2185", + "right": "issue:2552", + "accept": false, + "reason": "Training config files vs. a tutorial question; unrelated." + }, + { + "left": "issue:1530", + "right": "issue:3162", + "accept": true, + "reason": "Same underlying `learned_classifier_free_sampling_embeddings` VQDiffusion bug; these read like duplicate reports of the same failure." + }, + { + "left": "issue:6218", + "right": "issue:9181", + "accept": false, + "reason": "Both touch ControlNet pipelines, but the errors are different and do not point to the same bug." + }, + { + "left": "issue:4830", + "right": "issue:5233", + "accept": false, + "reason": "MultiControlNet tensor-size issue vs. callback step-value bug; different problems." + }, + { + "left": "issue:11574", + "right": "issue:12113", + "accept": false, + "reason": "A VAE KeyError and a Wan video channel-mismatch error are different failures." + }, + { + "left": "issue:5737", + "right": "issue:6016", + "accept": false, + "reason": "Same converter script family, but the reported errors differ and there is no clear shared root cause." + }, + { + "left": "issue:3788", + "right": "issue:7405", + "accept": false, + "reason": "Two different new-model/pipeline requests, not the same change." + }, + { + "left": "issue:10382", + "right": "issue:9370", + "accept": false, + "reason": "Different components and exceptions: VAE return-type mismatch vs. missing `pooled_projection`." + }, + { + "left": "issue:11221", + "right": "issue:11468", + "accept": false, + "reason": "Training non-convergence question vs. float8 quantization discussion; unrelated." + }, + { + "left": "issue:4975", + "right": "issue:8831", + "accept": false, + "reason": "LoRA performance inefficiency vs. unsupported-layer continuation; not the same bug." + }, + { + "left": "issue:10893", + "right": "issue:9894", + "accept": false, + "reason": "Different feature requests for different models/components." + }, + { + "left": "issue:5989", + "right": "issue:7460", + "accept": false, + "reason": "Unrelated library bug report vs. AdaLayerNorm bug." + }, + { + "left": "issue:1919", + "right": "issue:3647", + "accept": false, + "reason": "Dreambooth requirements issue vs. DeepFloyd training question; different problems." + }, + { + "left": "issue:1290", + "right": "issue:556", + "accept": false, + "reason": "Community project request vs. seamless-tiling feature; unrelated." + }, + { + "left": "issue:4321", + "right": "issue:8970", + "accept": false, + "reason": "Both mention black images, but on different backends/models and with different likely causes." + }, + { + "left": "issue:8647", + "right": "issue:9171", + "accept": false, + "reason": "Different pipeline errors: NoneType iteration vs. single-file v_prediction regression." + }, + { + "left": "issue:5037", + "right": "issue:6666", + "accept": false, + "reason": "Validation-image argument error vs. black validation images; not the same bug." + }, + { + "left": "issue:2091", + "right": "issue:2661", + "accept": false, + "reason": "Checkpoint resume/multi-GPU issue vs. checkpoint write error; different failure modes." + }, + { + "left": "issue:2091", + "right": "issue:2662", + "accept": false, + "reason": "Checkpoint resume/multi-GPU issue vs. checkpoint write error; different failure modes." + }, + { + "left": "issue:5791", + "right": "issue:5897", + "accept": false, + "reason": "Dreambooth hyperparameter interaction vs. LoRA device mismatch; unrelated." + }, + { + "left": "issue:3085", + "right": "issue:4529", + "accept": false, + "reason": "Versioned API change vs. unexpected keyword in LoRA loading; different problems." + }, + { + "left": "issue:11555", + "right": "issue:12754", + "accept": false, + "reason": "`device_map=\"auto\"` support question vs. `from_pipe` dtype default behavior; unrelated." + }, + { + "left": "issue:9227", + "right": "issue:9464", + "accept": false, + "reason": "Same training script family, but different errors and triggers; not enough evidence of one underlying bug." + }, + { + "left": "issue:2661", + "right": "issue:2662", + "accept": true, + "reason": "Near-identical checkpoint write-error reports with essentially the same body; the titles differ only in specificity." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The pair-level verdicts are mostly conservative, but the summary overstates uniqueness: the packet also contains a very strong duplicate-looking checkpoint pair, issue:2661 and issue:2662, which makes \"only the VQDiffusion reports look like true duplicates\" too strong. Because the cluster is not grounded to a single duplicate pair, I can\u2019t accept this as precise enough." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 198, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:10639", + "issue:10772", + "issue:11010", + "issue:11093", + "issue:11182", + "issue:11298", + "issue:1140", + "issue:11561", + "issue:11653", + "issue:11749", + "issue:12359", + "issue:12695", + "issue:12752", + "issue:1290", + "issue:13279", + "issue:13350", + "issue:13416", + "issue:1434", + "issue:1934", + "issue:1962", + "issue:2891", + "issue:3431", + "issue:3455", + "issue:3891", + "issue:4149", + "issue:4159", + "issue:4363", + "issue:4436", + "issue:4782", + "issue:4949", + "issue:5485", + "issue:5576", + "issue:5607", + "issue:5889", + "issue:6132", + "issue:6493", + "issue:6688", + "issue:7080", + "issue:7219", + "issue:7390", + "issue:7670", + "issue:8850", + "issue:8900", + "issue:9090", + "issue:9164", + "issue:9464", + "issue:9744" + ], + "soft_pairs": [ + "issue:11093|issue:8850", + "issue:7390|issue:8900", + "issue:4363|issue:4436", + "issue:5889|issue:9744", + "issue:3891|issue:7219", + "issue:1434|issue:2891", + "issue:11298|issue:11653", + "issue:1140|issue:1290", + "issue:1962|issue:4949", + "issue:11010|issue:12359", + "issue:11749|issue:9090", + "issue:9164|issue:9464", + "issue:5485|issue:7080", + "issue:10100|issue:11561", + "issue:10772|issue:12695", + "issue:6132|issue:6688", + "issue:13350|issue:13416", + "issue:3455|issue:7670", + "issue:4149|issue:5607", + "issue:11182|issue:13279", + "issue:3891|issue:6688", + "issue:3431|issue:4782", + "issue:5576|issue:6493", + "issue:1934|issue:4159", + "issue:10639|issue:12752" + ], + "prepared_review_unit_hash": "d522bbc2732d0c8d8d7cc7d51c798de92338817d4208a1688a05526d8ad9eaec", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33470, + "estimated_input_tokens": 8368, + "estimated_eval_tokens": 16992 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated model-support and bug-report issues. None of the soft pairs looks like the same concrete underlying bug/change, so I rejected all of them.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:7390 is the most concrete, actionable bug report here: it describes a specific reproducible loader error path, unlike the broader feature/support requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11093", + "right": "issue:8850", + "accept": false, + "reason": "Both mention broken examples/pipelines, but they target different code paths and failure modes." + }, + { + "left": "issue:7390", + "right": "issue:8900", + "accept": false, + "reason": "Both involve `from_single_file`, but one is a specific ControlNet inpaint error and the other is a general loading/how-to question for a different checkpoint." + }, + { + "left": "issue:4363", + "right": "issue:4436", + "accept": false, + "reason": "Related loading/conversion topic, but one asks how to load a specific SDXL safetensors file while the other is about converting CIVITAI safetensors with VAE." + }, + { + "left": "issue:5889", + "right": "issue:9744", + "accept": false, + "reason": "Different video-model requests: Stable Video Diffusion vs Mochi Video Model." + }, + { + "left": "issue:3891", + "right": "issue:7219", + "accept": false, + "reason": "Both are pipeline feature requests, but for unrelated models/features (Tortoise TTS vs SUPIR upscaler)." + }, + { + "left": "issue:1434", + "right": "issue:2891", + "accept": false, + "reason": "Same pipeline family, but one is an OOM bug and the other is an embeds-support/docs mismatch." + }, + { + "left": "issue:11298", + "right": "issue:11653", + "accept": false, + "reason": "Both are LoRA-loading problems, but they concern different model families and different key-error scenarios." + }, + { + "left": "issue:1140", + "right": "issue:1290", + "accept": false, + "reason": "Community feature requests for different concepts: Hypernetworks vs DreamArtist." + }, + { + "left": "issue:1962", + "right": "issue:4949", + "accept": false, + "reason": "Both are video-related, but they concern different pipelines and capabilities." + }, + { + "left": "issue:11010", + "right": "issue:12359", + "accept": false, + "reason": "One is a model-support/architecture issue, the other is a documentation bug about `guidance_scale`." + }, + { + "left": "issue:11749", + "right": "issue:9090", + "accept": false, + "reason": "Different scheduler bugs with different symptoms and code paths." + }, + { + "left": "issue:9164", + "right": "issue:9464", + "accept": false, + "reason": "Both are Flux DreamBooth training issues, but one is non-convergence and the other is an IndexError with specific flags." + }, + { + "left": "issue:5485", + "right": "issue:7080", + "accept": false, + "reason": "One is batch inference slowness; the other is a training/inference output mismatch." + }, + { + "left": "issue:10100", + "right": "issue:11561", + "accept": false, + "reason": "Different model-support requests: ConsisID vs IP Adapter loading for FluxFillPipeline." + }, + { + "left": "issue:10772", + "right": "issue:12695", + "accept": false, + "reason": "Separate model-support requests for Sana ControlNet and Hunyuan v1.5." + }, + { + "left": "issue:6132", + "right": "issue:6688", + "accept": false, + "reason": "Unrelated requests: PyTorch loadable classes support vs MotionCntrl addition." + }, + { + "left": "issue:13350", + "right": "issue:13416", + "accept": false, + "reason": "Both are usage questions, but they concern different models and different prompting/inference setups." + }, + { + "left": "issue:3455", + "right": "issue:7670", + "accept": false, + "reason": "Different instructional/support topics with no shared underlying bug or change." + }, + { + "left": "issue:4149", + "right": "issue:5607", + "accept": false, + "reason": "Both are tensor-shape errors, but the failing pipelines and triggers are different enough to treat as separate bugs." + }, + { + "left": "issue:11182", + "right": "issue:13279", + "accept": false, + "reason": "Both concern model-loading compatibility, but one is an unnecessary download issue and the other is an older-transformers loading error." + }, + { + "left": "issue:3891", + "right": "issue:6688", + "accept": false, + "reason": "Distinct feature requests in different areas: Tortoise TTS pipeline vs MotionCntrl support." + }, + { + "left": "issue:3431", + "right": "issue:4782", + "accept": false, + "reason": "Both involve inpainting quality/behavior, but one is ControlNet result quality and the other is mask handling correctness." + }, + { + "left": "issue:5576", + "right": "issue:6493", + "accept": false, + "reason": "Same broad scheduler area, but one requests a new scheduler and the other is a FreeNoise pipeline request." + }, + { + "left": "issue:1934", + "right": "issue:4159", + "accept": false, + "reason": "Both are memory-related, but they describe different subsystems and failure contexts." + }, + { + "left": "issue:10639", + "right": "issue:12752", + "accept": false, + "reason": "Different model-support requests: Lumina-Image 2.0 vs Z-Image img2img/inpainting." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 199, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10514", + "issue:10817", + "issue:1156", + "issue:11973", + "issue:12358", + "issue:12574", + "issue:12666", + "issue:13062", + "issue:13429", + "issue:1790", + "issue:2299", + "issue:2319", + "issue:2324", + "issue:2361", + "issue:2646", + "issue:2737", + "issue:2755", + "issue:2891", + "issue:3570", + "issue:4236", + "issue:4524", + "issue:4876", + "issue:4913", + "issue:5034", + "issue:5118", + "issue:5168", + "issue:5197", + "issue:5258", + "issue:5463", + "issue:5656", + "issue:590", + "issue:5981", + "issue:6095", + "issue:6117", + "issue:6132", + "issue:6357", + "issue:713", + "issue:7168", + "issue:7312", + "issue:8410", + "issue:8511", + "issue:8526", + "issue:8593", + "issue:8790", + "issue:9012", + "issue:9161", + "issue:9460" + ], + "soft_pairs": [ + "issue:2737|issue:7312", + "issue:2755|issue:3570", + "issue:4876|issue:5656", + "issue:5118|issue:6132", + "issue:10817|issue:8511", + "issue:10514|issue:12574", + "issue:2891|issue:7168", + "issue:11973|issue:9161", + "issue:2299|issue:5034", + "issue:2361|issue:5197", + "issue:4913|issue:8790", + "issue:5981|issue:6117", + "issue:1156|issue:713", + "issue:5463|issue:6357", + "issue:5118|issue:5168", + "issue:4236|issue:5258", + "issue:12358|issue:13429", + "issue:1790|issue:2324", + "issue:8526|issue:8593", + "issue:9012|issue:9460", + "issue:12666|issue:13062", + "issue:4524|issue:8410", + "issue:2319|issue:590", + "issue:2646|issue:6095" + ], + "prepared_review_unit_hash": "d7dc085bb72ee082d079dfe39af85525882f2deaf5894b962dabfa98a46ced83", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32777, + "estimated_input_tokens": 8195, + "estimated_eval_tokens": 16646 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft-edge pair looks like a true duplicate: the set spans unrelated feature requests, training-script bugs, scheduler issues, and pipeline-specific regressions. I would not merge any of the candidate pairs.", + "confidence": 0.89, + "canonical_issue_reason": "Issue 12574 is the strongest anchor in the set: it describes a concrete, specific pipeline bug with a clear underlying cause (missing control-argument handling for the VACE transformer) and active discussion.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 12574 is the most useful standalone issue for triage because it is precise, actionable, and tied to a real failing code path; the other issues are mostly unrelated support requests or different feature/bug areas.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2737", + "right": "issue:7312", + "accept": false, + "reason": "Different problems: scheduler CLIP guidance support vs AlignProp/direct reward finetuning support." + }, + { + "left": "issue:2755", + "right": "issue:3570", + "accept": false, + "reason": "Unrelated bugs: float16 checkpoint loading vs disabling checkpoint downloading." + }, + { + "left": "issue:4876", + "right": "issue:5656", + "accept": false, + "reason": "LoRA layer std-arg request and community pipeline loader are different changes." + }, + { + "left": "issue:5118", + "right": "issue:6132", + "accept": false, + "reason": "ControlNet reference_only usage question is unrelated to adding LOADABLE_CLASSES." + }, + { + "left": "issue:10817", + "right": "issue:8511", + "accept": false, + "reason": "SD3 control-net support vs SD3 training scripts not unloading text encoders are different code paths." + }, + { + "left": "issue:10514", + "right": "issue:12574", + "accept": false, + "reason": "Sana resolution binning/sample_size issue is unrelated to WanVideoToVideoPipeline control-argument handling." + }, + { + "left": "issue:2891", + "right": "issue:7168", + "accept": false, + "reason": "Docs/runtime mismatch for embeds vs IP-Adapter embed shape handling are different bugs." + }, + { + "left": "issue:11973", + "right": "issue:9161", + "accept": false, + "reason": "Missing required --instance_prompt is a CLI argument bug, not the same as distributed training issues." + }, + { + "left": "issue:2299", + "right": "issue:5034", + "accept": false, + "reason": "Fine-tuned checkpoint support and progress-bar display are unrelated." + }, + { + "left": "issue:2361", + "right": "issue:5197", + "accept": false, + "reason": "Checkpoint-saving crash is not the same as multi-GPU slowdown." + }, + { + "left": "issue:4913", + "right": "issue:8790", + "accept": false, + "reason": "Different requests: a specific ControlNet model addition vs SDXL TensorRT + IP Adapter integration." + }, + { + "left": "issue:5981", + "right": "issue:6117", + "accept": false, + "reason": "Both are scheduler bugs, but they affect different schedulers and different failure modes." + }, + { + "left": "issue:1156", + "right": "issue:713", + "accept": false, + "reason": "Both are vague training errors, but the reports are too generic and not the same underlying bug." + }, + { + "left": "issue:5463", + "right": "issue:6357", + "accept": false, + "reason": "UnboundLocalError in image_latents is unrelated to API-vs-local result differences." + }, + { + "left": "issue:5118", + "right": "issue:5168", + "accept": false, + "reason": "Using controlnet reference_only and ControlNet-XS support are distinct topics." + }, + { + "left": "issue:4236", + "right": "issue:5258", + "accept": false, + "reason": "SDXL refiner text-encoder registration differs from ControlNet inpaint with refiner." + }, + { + "left": "issue:12358", + "right": "issue:13429", + "accept": false, + "reason": "Two separate pipeline-addition requests for different models." + }, + { + "left": "issue:1790", + "right": "issue:2324", + "accept": false, + "reason": "General training question is not the same as Dreambooth instance-data loading failure." + }, + { + "left": "issue:8526", + "right": "issue:8593", + "accept": false, + "reason": "MPS attention scale ineffectiveness and bf16 CPU noise are different device-specific bugs." + }, + { + "left": "issue:9012", + "right": "issue:9460", + "accept": false, + "reason": "Weight-loading error in SD3ControlNetModel is different from allowing lists of SD3ControlNetModel in the pipeline." + }, + { + "left": "issue:12666", + "right": "issue:13062", + "accept": false, + "reason": "Kandinsky 5.0 pipeline availability and onnxruntime-windowsml support are unrelated." + }, + { + "left": "issue:4524", + "right": "issue:8410", + "accept": false, + "reason": "AnimateDiff and TextDiffuser are separate pipeline-support requests." + }, + { + "left": "issue:2319", + "right": "issue:590", + "accept": false, + "reason": "Checkpoint-loader typo and Karras scheduler formula typo are different fixes." + }, + { + "left": "issue:2646", + "right": "issue:6095", + "accept": false, + "reason": "Tiled VAE index error is unrelated to the SVD scheduler failure." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 200, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:10147", + "issue:10231", + "issue:10848", + "issue:10952", + "issue:1099", + "issue:11223", + "issue:11412", + "issue:11435", + "issue:11448", + "issue:11581", + "issue:11721", + "issue:12078", + "issue:12221", + "issue:12367", + "issue:12458", + "issue:12738", + "issue:12995", + "issue:1305", + "issue:13079", + "issue:13162", + "issue:2213", + "issue:2294", + "issue:2310", + "issue:3094", + "issue:3113", + "issue:319", + "issue:321", + "issue:3350", + "issue:4042", + "issue:4232", + "issue:4241", + "issue:4619", + "issue:4815", + "issue:4846", + "issue:4907", + "issue:5545", + "issue:5656", + "issue:6688", + "issue:6866", + "issue:7138", + "issue:8604", + "issue:8832", + "issue:8939", + "issue:8989", + "issue:9511", + "issue:9850", + "issue:9926" + ], + "soft_pairs": [ + "issue:1305|issue:3113", + "issue:6866|issue:9511", + "issue:4619|issue:7138", + "issue:10147|issue:12221", + "issue:11223|issue:13079", + "issue:3350|issue:5545", + "issue:8604|issue:8989", + "issue:10100|issue:6688", + "issue:10231|issue:11435", + "issue:10848|issue:10952", + "issue:4232|issue:4846", + "issue:8939|issue:9850", + "issue:11581|issue:13162", + "issue:11721|issue:8832", + "issue:1099|issue:2294", + "issue:4815|issue:4907", + "issue:12078|issue:12995", + "issue:12367|issue:9926", + "issue:12458|issue:12738", + "issue:2213|issue:3094", + "issue:2310|issue:4042", + "issue:319|issue:321", + "issue:4241|issue:5656", + "issue:11412|issue:11448" + ], + "prepared_review_unit_hash": "7b3bfe1d5ca1c11f05a6a1e10b9d38caaef4d4aff0d7de96ab4add86a1fb57ed", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33878, + "estimated_input_tokens": 8470, + "estimated_eval_tokens": 17196 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No duplicate cluster emerges here: the soft pairs are mostly superficial title matches across different models, APIs, or feature requests. I reject all soft edges as they do not describe the same underlying bug/change.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue is appropriate because the items are heterogeneous and none of the soft pairs is a true duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "If forced to pick a representative issue, issue:10848 is the most concrete and actionable bug report, but it is still not a global duplicate hub for this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1305", + "right": "issue:3113", + "accept": false, + "reason": "Both are image-editing/control research topics, but they describe different methods and different requests; not the same bug/change." + }, + { + "left": "issue:6866", + "right": "issue:9511", + "accept": false, + "reason": "One asks for IP-Adapter support in an SDXL inpaint pipeline, the other for multi-controlnet batching; related subsystem, different feature." + }, + { + "left": "issue:4619", + "right": "issue:7138", + "accept": false, + "reason": "Different problems: a dtype/bias mismatch during LoRA training vs an SDXL UNet structure mismatch with the official model." + }, + { + "left": "issue:10147", + "right": "issue:12221", + "accept": false, + "reason": "Both are feature requests for model support, but for different adapters/control methods and different code paths." + }, + { + "left": "issue:11223", + "right": "issue:13079", + "accept": false, + "reason": "Both mention OOM, but the models, triggers, and failure modes differ; not the same concrete memory bug." + }, + { + "left": "issue:3350", + "right": "issue:5545", + "accept": false, + "reason": "Different pipelines and different errors; no shared underlying code-path problem is shown." + }, + { + "left": "issue:8604", + "right": "issue:8989", + "accept": false, + "reason": "T5 float16 corruption is a text-encoder precision bug; sequential offloading in Stable Audio is a separate runtime issue." + }, + { + "left": "issue:10100", + "right": "issue:6688", + "accept": false, + "reason": "Both are support requests for new capabilities, but for different models/features and not a single change request." + }, + { + "left": "issue:10231", + "right": "issue:11435", + "accept": false, + "reason": "Both are import errors, but they concern different tutorials/pipelines and different missing symbols." + }, + { + "left": "issue:10848", + "right": "issue:10952", + "accept": false, + "reason": "Different adapter-loading failures: unexpected 'device' kwarg vs adapter-name lookup mismatch." + }, + { + "left": "issue:4232", + "right": "issue:4846", + "accept": false, + "reason": "Training/inference support for instruct-pix2pix with controlnet is unrelated to a strange DreamBooth training result." + }, + { + "left": "issue:8939", + "right": "issue:9850", + "accept": false, + "reason": "Tokenizer loading failure for SD3 is unrelated to gradient checkpointing with a frozen model." + }, + { + "left": "issue:11581", + "right": "issue:13162", + "accept": false, + "reason": "One is an IP-Adapter dtype initialization error in FLUX; the other is a LoRA support feature request for Flux.2-klein-4b." + }, + { + "left": "issue:11721", + "right": "issue:8832", + "accept": false, + "reason": "Generic crashes, but on different pipelines and likely different root causes; not mergeable as one fix." + }, + { + "left": "issue:1099", + "right": "issue:2294", + "accept": false, + "reason": "Dreambooth class-name issue and missing StableDiffusionVideoInpaintPipeline import are unrelated." + }, + { + "left": "issue:4815", + "right": "issue:4907", + "accept": false, + "reason": "Latents-only input support vs an inpainting model warning are different issues." + }, + { + "left": "issue:12078", + "right": "issue:12995", + "accept": false, + "reason": "Flux Control finetuning validation input problem is unrelated to Cosmos-Predict2.5 video behavior." + }, + { + "left": "issue:12367", + "right": "issue:9926", + "accept": false, + "reason": "Qwen-Image LoRA support and gguf quantize/speed-up support are separate feature requests." + }, + { + "left": "issue:12458", + "right": "issue:12738", + "accept": false, + "reason": "Both involve batch inference, but for different Qwen/ZImage pipelines and different concrete failures." + }, + { + "left": "issue:2213", + "right": "issue:3094", + "accept": false, + "reason": "TPU distributed hang vs CUDA OOM during finetuning are different training bugs." + }, + { + "left": "issue:2310", + "right": "issue:4042", + "accept": false, + "reason": "LDM inpainting/LaMA cleaner question is not the same as combining reference-only with inpainting and depth control." + }, + { + "left": "issue:319", + "right": "issue:321", + "accept": false, + "reason": "These are different diffusion models/papers, not duplicates." + }, + { + "left": "issue:4241", + "right": "issue:5656", + "accept": false, + "reason": "A request to fine-tune unidiffusers with LoRA is different from adding a LoRA loader to community pipelines." + }, + { + "left": "issue:11412", + "right": "issue:11448", + "accept": false, + "reason": "Both are 404/missing model artifacts, but they point to different repositories/models and do not share a single fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 201, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10191", + "issue:10550", + "issue:10817", + "issue:10928", + "issue:11222", + "issue:11275", + "issue:11279", + "issue:11283", + "issue:11555", + "issue:11709", + "issue:12567", + "issue:13043", + "issue:13176", + "issue:1358", + "issue:1633", + "issue:1896", + "issue:1934", + "issue:2310", + "issue:2437", + "issue:2462", + "issue:2471", + "issue:2560", + "issue:3140", + "issue:3209", + "issue:3289", + "issue:3467", + "issue:4061", + "issue:4073", + "issue:4269", + "issue:4286", + "issue:4580", + "issue:4619", + "issue:4750", + "issue:4839", + "issue:5002", + "issue:5314", + "issue:5573", + "issue:5594", + "issue:5927", + "issue:6688", + "issue:7789", + "issue:7842", + "issue:852", + "issue:8649", + "issue:9026", + "issue:9138", + "issue:940", + "issue:9637" + ], + "soft_pairs": [ + "issue:11275|issue:9026", + "issue:3467|issue:5573", + "issue:4580|issue:5002", + "issue:13043|issue:13176", + "issue:7789|issue:7842", + "issue:10928|issue:13176", + "issue:11709|issue:12567", + "issue:1633|issue:5594", + "issue:2437|issue:6688", + "issue:10550|issue:11279", + "issue:2560|issue:3209", + "issue:1358|issue:2462", + "issue:4619|issue:4839", + "issue:3289|issue:4073", + "issue:4061|issue:4286", + "issue:3140|issue:4269", + "issue:10817|issue:8649", + "issue:10191|issue:9637", + "issue:2310|issue:5314", + "issue:4750|issue:5927", + "issue:11555|issue:9138", + "issue:1934|issue:3209", + "issue:1896|issue:2471", + "issue:11222|issue:11283", + "issue:852|issue:940" + ], + "prepared_review_unit_hash": "7aefc0d1a3ce264910f57c323c40fd229c6ca6ebd9f2435a30f923fd040edff5", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34019, + "estimated_input_tokens": 8505, + "estimated_eval_tokens": 17266 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pairs look like true duplicates; the set spans unrelated bugs, feature requests, and backend-specific failures. I would not merge any of the proposed pairs.", + "confidence": 0.96, + "canonical_issue_reason": "Issue #11279 is the broadest open thread in the set and the closest thing to a representative issue, but it is still not a duplicate of the soft-pair candidates.", + "canonical_pr_reason": null, + "best_issue_reason": "#11279 is the best global issue candidate because it is open and comparatively broad; the rest are much more specific and do not share a single underlying bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11275", + "right": "issue:9026", + "accept": false, + "reason": "Different failures: VAE NoneType addition vs an unexpected kwarg in checkpoint dispatch." + }, + { + "left": "issue:3467", + "right": "issue:5573", + "accept": false, + "reason": "Both mention ControlNet, but one is about wrong resume step and the other about long weight initialization." + }, + { + "left": "issue:4580", + "right": "issue:5002", + "accept": false, + "reason": "Scheduler/Karras-sigmas related, but these are different scheduler classes and different concrete bugs." + }, + { + "left": "issue:13043", + "right": "issue:13176", + "accept": false, + "reason": "Different attention-backend/device errors with no shared code-path shown." + }, + { + "left": "issue:7789", + "right": "issue:7842", + "accept": false, + "reason": "One is an MPS float32 requirement; the other is a DeepFloyd shape mismatch on non-divisible image sizes." + }, + { + "left": "issue:10928", + "right": "issue:13176", + "accept": false, + "reason": "Missing model file error vs an attention runtime error; unrelated failures." + }, + { + "left": "issue:11709", + "right": "issue:12567", + "accept": false, + "reason": "LoRA key-loading issue vs Ulysses attention noise generation; different subsystems and symptoms." + }, + { + "left": "issue:1633", + "right": "issue:5594", + "accept": false, + "reason": "Karras sigma support in a scheduler wrapper vs SDXL LoRA memory usage; unrelated changes." + }, + { + "left": "issue:2437", + "right": "issue:6688", + "accept": false, + "reason": "Separate feature requests for different pipelines, not the same change." + }, + { + "left": "issue:10550", + "right": "issue:11279", + "accept": false, + "reason": "Quantized LoRA loading problem vs partial model initialization behavior; not the same bug." + }, + { + "left": "issue:2560", + "right": "issue:3209", + "accept": false, + "reason": "Determinism bug with generator lists vs NaNs in AutoencoderKL on large images." + }, + { + "left": "issue:1358", + "right": "issue:2462", + "accept": false, + "reason": "Safetensors support vs IterableDataset training support; unrelated." + }, + { + "left": "issue:4619", + "right": "issue:4839", + "accept": false, + "reason": "Mixed-precision training type mismatch vs a lora_scale type error." + }, + { + "left": "issue:3289", + "right": "issue:4073", + "accept": false, + "reason": "DeepFloyd super-resolution size bug vs a safety-checker astype attribute error." + }, + { + "left": "issue:4061", + "right": "issue:4286", + "accept": false, + "reason": "Both are SDXL LoRA loading complaints, but the titles do not indicate the same concrete failure." + }, + { + "left": "issue:3140", + "right": "issue:4269", + "accept": false, + "reason": "Import error for the pipeline class vs a TypeError inside check_inputs." + }, + { + "left": "issue:10817", + "right": "issue:8649", + "accept": false, + "reason": "Different SD3 problems: missing ControlNets vs num_images_per_prompt handling." + }, + { + "left": "issue:10191", + "right": "issue:9637", + "accept": false, + "reason": "GPU selection/training device issue vs an XFormers attention-mask/bfloat16 kernel failure." + }, + { + "left": "issue:2310", + "right": "issue:5314", + "accept": false, + "reason": "Both are inpainting-related, but one is about LDM/Lama cleaning and the other is a ControlNet reference pipeline." + }, + { + "left": "issue:4750", + "right": "issue:5927", + "accept": false, + "reason": "Overlapping inpaint/Lama wording, but these are distinct composite pipeline requests." + }, + { + "left": "issue:11555", + "right": "issue:9138", + "accept": false, + "reason": "Device_map support question vs an unrelated int/str comparison TypeError." + }, + { + "left": "issue:1934", + "right": "issue:3209", + "accept": false, + "reason": "Memory offload regression vs NaNs on large images; different code paths." + }, + { + "left": "issue:1896", + "right": "issue:2471", + "accept": false, + "reason": "Different pipeline-specific size errors, not the same bug." + }, + { + "left": "issue:11222", + "right": "issue:11283", + "accept": false, + "reason": "Feature request for more WAN LoRAs vs a Wan header deserialization error." + }, + { + "left": "issue:852", + "right": "issue:940", + "accept": false, + "reason": "Both are MPS crashes, but they affect different APIs and failure modes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 202, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10111", + "issue:10636", + "issue:1106", + "issue:11644", + "issue:12195", + "issue:12574", + "issue:13477", + "issue:1543", + "issue:2185", + "issue:2310", + "issue:2437", + "issue:3073", + "issue:3221", + "issue:3576", + "issue:3643", + "issue:3975", + "issue:4210", + "issue:4445", + "issue:460", + "issue:4646", + "issue:4750", + "issue:4801", + "issue:5225", + "issue:5395", + "issue:5480", + "issue:5656", + "issue:5777", + "issue:5989", + "issue:6110", + "issue:6243", + "issue:6359", + "issue:7049", + "issue:746", + "issue:7695", + "issue:817", + "issue:8320", + "issue:8432", + "issue:8493", + "issue:8604", + "issue:8742", + "issue:8752", + "issue:8837", + "issue:911", + "issue:9297", + "issue:9358", + "issue:9464", + "issue:9822", + "issue:9930" + ], + "soft_pairs": [ + "issue:1106|issue:3221", + "issue:2437|issue:6243", + "issue:460|issue:746", + "issue:5395|issue:9297", + "issue:3975|issue:5989", + "issue:4210|issue:5225", + "issue:8432|issue:8742", + "issue:7049|issue:7695", + "issue:460|issue:4646", + "issue:9358|issue:9464", + "issue:11644|issue:8493", + "issue:10111|issue:9822", + "issue:12195|issue:8320", + "issue:2185|issue:911", + "issue:3576|issue:3643", + "issue:10636|issue:8837", + "issue:8604|issue:9930", + "issue:6110|issue:8752", + "issue:2310|issue:4750", + "issue:3073|issue:5480", + "issue:4445|issue:5656", + "issue:5777|issue:6359", + "issue:1543|issue:746", + "issue:4801|issue:817", + "issue:12574|issue:13477" + ], + "prepared_review_unit_hash": "1c64e866af1b7e0f52adbdc34bee5a0a39e20f8e7afd7b6040894041f399062a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33873, + "estimated_input_tokens": 8469, + "estimated_eval_tokens": 17194 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose collection of mostly unrelated issues across different pipelines/features; none of the soft pairs look like true duplicates or the same code change. The closest thematic group is FLUX-related training/inference bugs, but even those are distinct failures.", + "confidence": 0.79, + "canonical_issue_reason": "issue:10111 is the broadest umbrella title and best fits the cluster\u2019s mixed FLUX/pipeline-bug theme, even though the set is not a tight duplicate group.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10111 is the most representative and reusable triage anchor because it captures the broad FLUX pipeline bug category without being tied to one narrow repro.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1106", + "right": "issue:3221", + "accept": false, + "reason": "Different subsystems and failure modes: PNDM extra UNet calls vs load_attn_procs behavior in diffusers 0.16.0." + }, + { + "left": "issue:2437", + "right": "issue:6243", + "accept": false, + "reason": "T2I-Adapter pipeline request and IP-Adapter Face ID issue are unrelated feature areas, not the same bug." + }, + { + "left": "issue:460", + "right": "issue:746", + "accept": false, + "reason": "Both are ONNX-related but one is runtime dependency selection and the other is revision loading for img2img; different problems." + }, + { + "left": "issue:5395", + "right": "issue:9297", + "accept": false, + "reason": "Both involve LoRAs, but one is PEFT combining civitai LoRAs and the other is linear load-time scaling for multiple LoRAs." + }, + { + "left": "issue:3975", + "right": "issue:5989", + "accept": false, + "reason": "A typo in an error message and a safetensors.torch bug are not the same underlying issue." + }, + { + "left": "issue:4210", + "right": "issue:5225", + "accept": false, + "reason": "UNet attention_mask usage question and SDXL VRAM exhaustion are unrelated." + }, + { + "left": "issue:8432", + "right": "issue:8742", + "accept": false, + "reason": "ImportError for FromOriginalVAEMixin and removal of LoRAAttnProcessor2_0 are distinct API compatibility issues." + }, + { + "left": "issue:7049", + "right": "issue:7695", + "accept": false, + "reason": "IP-Adapter unpacking error and ignored ip_adapter_masks in AttnProcessor2_0 are different code paths and symptoms." + }, + { + "left": "issue:460", + "right": "issue:4646", + "accept": false, + "reason": "ONNX CPU/CUDA dependency selection is different from ControlNet-to-ONNX conversion failure." + }, + { + "left": "issue:9358", + "right": "issue:9464", + "accept": false, + "reason": "Both are FLUX training issues, but one is redundant text-encoder reinit and the other is an IndexError with prodigy + train_text_encoder." + }, + { + "left": "issue:11644", + "right": "issue:8493", + "accept": false, + "reason": "LTXConditionPipeline init-from-pretrained failure is unrelated to SD3Transformer2DModel state_dict loading." + }, + { + "left": "issue:10111", + "right": "issue:9822", + "accept": false, + "reason": "Generic FLUX pipeline bugs and loading SDXL LoRAs into Flux are related only by theme, not the same bug." + }, + { + "left": "issue:12195", + "right": "issue:8320", + "accept": false, + "reason": "PyTorch 2.3.1 torch.library.custom_op failure is unrelated to the __name__ attribute error in from_single_file." + }, + { + "left": "issue:2185", + "right": "issue:911", + "accept": false, + "reason": "Missing config files for naive T2I training and Dreambooth bad config are both config-related but not the same issue." + }, + { + "left": "issue:3576", + "right": "issue:3643", + "accept": false, + "reason": "XFormers/Textual Inversion TypeError and latent decoding INT_MAX overflow are different runtime failures." + }, + { + "left": "issue:10636", + "right": "issue:8837", + "accept": false, + "reason": "Bug in value_guided_sampling.py and a sliced attention processor bug are different pipeline components." + }, + { + "left": "issue:8604", + "right": "issue:9930", + "accept": false, + "reason": "Corrupted image from T5 float16 conversion is not the same as PAG adaptive scale behavior." + }, + { + "left": "issue:6110", + "right": "issue:8752", + "accept": false, + "reason": "Offline LoRA loading and offline from_single_file SDXL loading are both offline-related, but they affect different loaders and failures." + }, + { + "left": "issue:2310", + "right": "issue:4750", + "accept": false, + "reason": "LDM inpainting/LAMA cleaner and inpaint + LAMA preprocessor are different feature requests/issues." + }, + { + "left": "issue:3073", + "right": "issue:5480", + "accept": false, + "reason": "Consistency models request and EDM implementation request are separate model-feature requests." + }, + { + "left": "issue:4445", + "right": "issue:5656", + "accept": false, + "reason": "How to finetune LoRA and adding a LoRA loader to community pipelines are not the same bug/change." + }, + { + "left": "issue:5777", + "right": "issue:6359", + "accept": false, + "reason": "PixArt DreamBooth training error and EulerDiscreteScheduler velocity/add_noise bug are unrelated." + }, + { + "left": "issue:1543", + "right": "issue:746", + "accept": false, + "reason": "textual_inversion fp16 revision issue and ONNX img2img revision issue are different loading paths." + }, + { + "left": "issue:4801", + "right": "issue:817", + "accept": false, + "reason": "Mixed precision bug in train_unconditional.py and DreamBooth mixed precision issue are similar category but different examples and code paths." + }, + { + "left": "issue:12574", + "right": "issue:13477", + "accept": false, + "reason": "WanVideoToVideoPipeline control-argument handling and ErnieImage locals() scope bug are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 203, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10003", + "issue:11225", + "issue:11437", + "issue:1274", + "issue:1642", + "issue:1785", + "issue:2306", + "issue:2772", + "issue:3325", + "issue:3453", + "issue:3585", + "issue:3630", + "issue:4314", + "issue:4480", + "issue:4697", + "issue:4789", + "issue:4839", + "issue:4912", + "issue:5160", + "issue:5162", + "issue:5285", + "issue:5300", + "issue:5594", + "issue:5633", + "issue:5925", + "issue:6109", + "issue:6196", + "issue:6357", + "issue:6418", + "issue:6749", + "issue:6818", + "issue:6823", + "issue:7041", + "issue:709", + "issue:730", + "issue:7306", + "issue:7417", + "issue:7766", + "issue:8509", + "issue:852", + "issue:8604", + "issue:8837", + "issue:898", + "issue:911", + "issue:9134", + "issue:9178", + "issue:9479", + "issue:9867" + ], + "soft_pairs": [ + "issue:3453|issue:898", + "issue:9134|issue:9178", + "issue:6109|issue:6196", + "issue:3585|issue:852", + "issue:4480|issue:7417", + "issue:5633|issue:8837", + "issue:6823|issue:8509", + "issue:1274|issue:1785", + "issue:11225|issue:11437", + "issue:3325|issue:4839", + "issue:10003|issue:7041", + "issue:1642|issue:709", + "issue:2306|issue:3630", + "issue:4697|issue:6749", + "issue:4912|issue:5162", + "issue:5160|issue:5594", + "issue:5285|issue:5925", + "issue:5300|issue:6418", + "issue:730|issue:911", + "issue:7306|issue:8604", + "issue:2772|issue:6357", + "issue:4314|issue:4789", + "issue:9479|issue:9867", + "issue:6818|issue:7766" + ], + "prepared_review_unit_hash": "f57983df598675599f35e166614c24cddfef92d54189ed3b6304408084c364cd", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33333, + "estimated_input_tokens": 8334, + "estimated_eval_tokens": 16924 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is noisy and mostly splits into several unrelated bug themes; there is no single defensible canonical duplicate for all items. The strongest concrete bug report is the num_inference_steps crash/segfault pair, but even that is not a safe merge target as a duplicate set.", + "confidence": 0.78, + "canonical_issue_reason": "No single item cleanly serves as a canonical representative for the whole cluster because the items span many different pipelines, features, and failure modes.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:7041 is the clearest concrete runtime failure in the set and the most plausible anchor among the num_inference_steps reports, but the cluster overall is still too heterogeneous for a true canonical duplicate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3453", + "right": "issue:898", + "accept": false, + "reason": "Both mention BFloat16, but the failing code paths and environments differ; this is a shared symptom, not the same bug." + }, + { + "left": "issue:9134", + "right": "issue:9178", + "accept": false, + "reason": "Both are Flux/LoRA-related, but one is about bad training outputs and the other is a PEFT target-module error." + }, + { + "left": "issue:6109", + "right": "issue:6196", + "accept": false, + "reason": "Same ControlNet-XS/depth area, but one is a feature/request-style issue and the other is a concrete load failure." + }, + { + "left": "issue:3585", + "right": "issue:852", + "accept": false, + "reason": "These are different problems: LoRA synthesis failure versus an MPS device_map keyword crash." + }, + { + "left": "issue:4480", + "right": "issue:7417", + "accept": false, + "reason": "Both touch Mac/MPS/fp16, but one is a generation crash and the other is a LoRA fuse test failure." + }, + { + "left": "issue:5633", + "right": "issue:8837", + "accept": false, + "reason": "Only the broad attention/transformer area overlaps; the specific bugs are different." + }, + { + "left": "issue:6823", + "right": "issue:8509", + "accept": false, + "reason": "Both mention ControlNet, but they describe different features and no shared concrete failure." + }, + { + "left": "issue:1274", + "right": "issue:1785", + "accept": false, + "reason": "Both involve num_images_per_prompt, but the affected pipelines and regression contexts differ." + }, + { + "left": "issue:11225", + "right": "issue:11437", + "accept": false, + "reason": "Both are training/validation issues, but one is OOM and the other is missing outputs, so the code-path problem is not the same." + }, + { + "left": "issue:3325", + "right": "issue:4839", + "accept": false, + "reason": "These are unrelated runtime/type errors; the shared theme is only that they occur during model usage." + }, + { + "left": "issue:10003", + "right": "issue:7041", + "accept": false, + "reason": "Both involve num_inference_steps, but one is a scheduler bug at 1000 steps and the other is a segfault for >1 step; not enough to merge." + }, + { + "left": "issue:1642", + "right": "issue:709", + "accept": false, + "reason": "A missing scheduler forward pass and a documentation docstring issue are not the same bug." + }, + { + "left": "issue:2306", + "right": "issue:3630", + "accept": false, + "reason": "Both are vague UNet2DModel errors, but the actual failures described are different and too underspecified to treat as duplicates." + }, + { + "left": "issue:4697", + "right": "issue:6749", + "accept": false, + "reason": "A specific LoRA-loading regression and an InstantID replication issue are different problems." + }, + { + "left": "issue:4912", + "right": "issue:5162", + "accept": false, + "reason": "Both are conversion-related, but they target different conversions and different user workflows." + }, + { + "left": "issue:5160", + "right": "issue:5594", + "accept": false, + "reason": "DreamBooth/LoRA is only a broad area match; masking and memory usage are separate issues." + }, + { + "left": "issue:5285", + "right": "issue:5925", + "accept": false, + "reason": "Documentation translation and ZipLora feature work are unrelated." + }, + { + "left": "issue:5300", + "right": "issue:6418", + "accept": false, + "reason": "Internet connectivity and identical video frames are unrelated bug reports." + }, + { + "left": "issue:730", + "right": "issue:911", + "accept": false, + "reason": "Both are DreamBooth-related, but one is local-vs-Colab learning behavior and the other is a bad config regression." + }, + { + "left": "issue:7306", + "right": "issue:8604", + "accept": false, + "reason": "Both mention float16, but they affect different pipelines and have different failure modes." + }, + { + "left": "issue:2772", + "right": "issue:6357", + "accept": false, + "reason": "A local dataset path validation bug and API/local result differences are not the same issue." + }, + { + "left": "issue:4314", + "right": "issue:4789", + "accept": false, + "reason": "Interrupted-download write protection and inability to download a model are different download-path failures." + }, + { + "left": "issue:9479", + "right": "issue:9867", + "accept": false, + "reason": "Both are inpainting mask-leak bugs, but they are reported on different pipelines and cannot be safely merged without stronger evidence." + }, + { + "left": "issue:6818", + "right": "issue:7766", + "accept": false, + "reason": "An unload error and a how-to question about FaceID Plus are not duplicate bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 204, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10076", + "issue:10147", + "issue:10472", + "issue:10569", + "issue:10848", + "issue:10873", + "issue:10896", + "issue:10932", + "issue:11000", + "issue:1161", + "issue:11721", + "issue:12108", + "issue:1255", + "issue:13488", + "issue:1377", + "issue:1572", + "issue:2149", + "issue:2150", + "issue:2311", + "issue:2444", + "issue:2775", + "issue:305", + "issue:3073", + "issue:3097", + "issue:3769", + "issue:4000", + "issue:4731", + "issue:4808", + "issue:4912", + "issue:4964", + "issue:5091", + "issue:5344", + "issue:5565", + "issue:5576", + "issue:6008", + "issue:6427", + "issue:8518", + "issue:8588", + "issue:8759", + "issue:9026", + "issue:9166", + "issue:917", + "issue:9241", + "issue:9258", + "issue:9602", + "issue:9778", + "issue:987", + "issue:993" + ], + "soft_pairs": [ + "issue:10873|issue:11721", + "issue:3073|issue:5576", + "issue:10147|issue:10896", + "issue:10569|issue:10932", + "issue:10472|issue:8759", + "issue:2311|issue:5576", + "issue:4731|issue:8518", + "issue:9026|issue:9166", + "issue:12108|issue:13488", + "issue:10848|issue:9602", + "issue:2444|issue:2775", + "issue:5091|issue:9258", + "issue:1255|issue:305", + "issue:4808|issue:6008", + "issue:2149|issue:2150", + "issue:4000|issue:4964", + "issue:10076|issue:9241", + "issue:11000|issue:8588", + "issue:1161|issue:4912", + "issue:1377|issue:305", + "issue:3097|issue:993", + "issue:3769|issue:987", + "issue:5344|issue:6427", + "issue:1572|issue:917", + "issue:5565|issue:9778" + ], + "prepared_review_unit_hash": "b1270f4c5c954063c6a8fa5dffdea992117ee37bd627833bfc7b8d2c596b8e86", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34201, + "estimated_input_tokens": 8551, + "estimated_eval_tokens": 17358 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft edge should be accepted here. The SanaPipeline pair (10873/11721) is only title-similar; without body evidence showing the same failure mode, it should remain unresolved as a possible duplicate at most. The rest of the candidates are distinct issues or requests.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:11721 is the strongest standalone representative for the SanaPipeline load/crash theme, but not enough evidence ties it to issue:10873 as the same bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10873", + "right": "issue:11721", + "accept": false, + "reason": "Similar SanaPipeline titles only; the bodies do not establish the same concrete crash or failure mode." + }, + { + "left": "issue:3073", + "right": "issue:5576", + "accept": false, + "reason": "Different feature requests: consistency models vs a new scheduler." + }, + { + "left": "issue:10147", + "right": "issue:10896", + "accept": false, + "reason": "Unrelated model support requests for different pipelines/use cases." + }, + { + "left": "issue:10569", + "right": "issue:10932", + "accept": false, + "reason": "Different HunyuanVideo problems: CPU memory use vs torch.compile recompilation limits." + }, + { + "left": "issue:10472", + "right": "issue:8759", + "accept": false, + "reason": "Different bugs and code paths: lora_bias init error vs image casting warning." + }, + { + "left": "issue:2311", + "right": "issue:5576", + "accept": false, + "reason": "Both scheduler-related, but they concern different schedulers and different changes." + }, + { + "left": "issue:4731", + "right": "issue:8518", + "accept": false, + "reason": "Both involve torch.compile, but they are distinct failures in different model/pipeline paths." + }, + { + "left": "issue:9026", + "right": "issue:9166", + "accept": false, + "reason": "Unrelated regressions: checkpoint dispatch keyword issue vs overlay behavior." + }, + { + "left": "issue:12108", + "right": "issue:13488", + "accept": false, + "reason": "Different regressions: flow-matching scheduler breakage vs offloading breakage." + }, + { + "left": "issue:10848", + "right": "issue:9602", + "accept": false, + "reason": "Adapter-related but different failures: API mismatch vs adapter selection state." + }, + { + "left": "issue:2444", + "right": "issue:2775", + "accept": false, + "reason": "A failing training script is not the same as a torch._dynamo optimize type error." + }, + { + "left": "issue:5091", + "right": "issue:9258", + "accept": false, + "reason": "Different performance/workflow complaints with no shared concrete bug." + }, + { + "left": "issue:1255", + "right": "issue:305", + "accept": false, + "reason": "Similar import error wording, but different missing symbols and likely different fixes." + }, + { + "left": "issue:4808", + "right": "issue:6008", + "accept": false, + "reason": "Different pipelines and failures; only broad testing/model overlap." + }, + { + "left": "issue:2149", + "right": "issue:2150", + "accept": false, + "reason": "Related texture-painting topics, but one is a workflow request and the other an img2img compatibility issue." + }, + { + "left": "issue:4000", + "right": "issue:4964", + "accept": false, + "reason": "Both are conversion-related, but they target different model formats/tasks." + }, + { + "left": "issue:10076", + "right": "issue:9241", + "accept": false, + "reason": "Both are conversion scripts, but for different directions and formats." + }, + { + "left": "issue:11000", + "right": "issue:8588", + "accept": false, + "reason": "Different missing-argument vs missing-file problems in unrelated pipelines." + }, + { + "left": "issue:1161", + "right": "issue:4912", + "accept": false, + "reason": "Different model conversion requests with no shared code-path bug." + }, + { + "left": "issue:1377", + "right": "issue:305", + "accept": false, + "reason": "Import errors, but different missing objects and likely different root causes." + }, + { + "left": "issue:3097", + "right": "issue:993", + "accept": false, + "reason": "Textual inversion no-op and fp16 dtype mismatch are unrelated bugs." + }, + { + "left": "issue:3769", + "right": "issue:987", + "accept": false, + "reason": "Different visual output problems in different pipelines." + }, + { + "left": "issue:5344", + "right": "issue:6427", + "accept": false, + "reason": "Dependency-missing error vs conversion issue; not the same bug." + }, + { + "left": "issue:1572", + "right": "issue:917", + "accept": false, + "reason": "Both involve inpainting, but the backends and failure modes differ." + }, + { + "left": "issue:5565", + "right": "issue:9778", + "accept": false, + "reason": "A specific script failure is not the same as a generic run-tutorial bug." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The overall separation of most pairs is conservative, but the one accepted soft edge is too strong for the packet: issue:10873 and issue:11721 are only linked by similar SanaPipeline titles and soft similarity, with no body evidence showing the same failure mode. This should be framed as a possible duplicate or left undecided, not accepted. Because that verdict overstates the evidence, I can\u2019t accept the cluster summary as written." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 205, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:1013", + "issue:10321", + "issue:10514", + "issue:10520", + "issue:1062", + "issue:10674", + "issue:11033", + "issue:11041", + "issue:11555", + "issue:1185", + "issue:12995", + "issue:1617", + "issue:1708", + "issue:1866", + "issue:199", + "issue:201", + "issue:2202", + "issue:3073", + "issue:3116", + "issue:3162", + "issue:3301", + "issue:3891", + "issue:3974", + "issue:4186", + "issue:4349", + "issue:4676", + "issue:5008", + "issue:5108", + "issue:5840", + "issue:6028", + "issue:6101", + "issue:6688", + "issue:713", + "issue:7223", + "issue:7348", + "issue:7380", + "issue:7460", + "issue:7789", + "issue:7793", + "issue:7836", + "issue:8393", + "issue:8918", + "issue:9170", + "issue:9306", + "issue:9424", + "issue:9895" + ], + "soft_pairs": [ + "issue:1866|issue:3116", + "issue:5008|issue:7380", + "issue:7460|issue:7836", + "issue:7789|issue:7793", + "issue:10100|issue:7223", + "issue:1013|issue:3162", + "issue:1062|issue:1708", + "issue:3073|issue:3891", + "issue:3073|issue:6688", + "issue:10674|issue:9895", + "issue:2202|issue:3974", + "issue:6028|issue:9170", + "issue:10514|issue:11555", + "issue:10321|issue:10520", + "issue:1185|issue:3301", + "issue:11033|issue:12995", + "issue:11041|issue:9306", + "issue:1617|issue:713", + "issue:199|issue:201", + "issue:4349|issue:4676", + "issue:5840|issue:8393", + "issue:8918|issue:9424", + "issue:6101|issue:7348", + "issue:4186|issue:5108" + ], + "prepared_review_unit_hash": "cd0d66c224010e46a06efaf6e7248982a36d0f06e57d5bc5e83c9053118f0a43", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32931, + "estimated_input_tokens": 8233, + "estimated_eval_tokens": 16722 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very heterogeneous: it mixes unrelated feature requests, training-script bugs, scheduler issues, device-placement regressions, and model-support questions. None of the soft edges look like true duplicates of the same underlying bug/change.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out; the items are mostly unrelated, and the apparent similarities are broad subsystem overlap rather than the same concrete problem.", + "canonical_pr_reason": null, + "best_issue_reason": "No good global best issue for deduping: there is no coherent duplicate family across the cluster, so any single issue would be a misleading representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1866", + "right": "issue:3116", + "accept": false, + "reason": "Both involve schedulers in img2img, but they are different scheduler classes with different failure modes." + }, + { + "left": "issue:5008", + "right": "issue:7380", + "accept": false, + "reason": "Different research/model requests; one is TryOnDiffusion implementation, the other is a distillation method." + }, + { + "left": "issue:7460", + "right": "issue:7836", + "accept": false, + "reason": "AdaLayerNorm bug vs CLIP training overfitting are unrelated problems." + }, + { + "left": "issue:7789", + "right": "issue:7793", + "accept": false, + "reason": "Both are DeepFloyd-related, but one is an MPS float32 requirement and the other is a LoRA unload error." + }, + { + "left": "issue:10100", + "right": "issue:7223", + "accept": false, + "reason": "Both request new model support, but ConsisID and Latte are distinct pipelines/changes." + }, + { + "left": "issue:1013", + "right": "issue:3162", + "accept": false, + "reason": "Different bugs in different code paths; no shared concrete failure." + }, + { + "left": "issue:1062", + "right": "issue:1708", + "accept": false, + "reason": "Dreambooth-related, but reproducibility and YAML config handling are separate issues." + }, + { + "left": "issue:3073", + "right": "issue:3891", + "accept": false, + "reason": "Both are feature requests, but for completely different pipelines/models." + }, + { + "left": "issue:3073", + "right": "issue:6688", + "accept": false, + "reason": "Different requested additions: consistency models vs MotionCntrl." + }, + { + "left": "issue:10674", + "right": "issue:9895", + "accept": false, + "reason": "Same pipeline name, but GGUF support vs device mismatch regression are not the same bug." + }, + { + "left": "issue:2202", + "right": "issue:3974", + "accept": false, + "reason": "OpenVINO support request vs safetensors loading bug; unrelated." + }, + { + "left": "issue:6028", + "right": "issue:9170", + "accept": false, + "reason": "Both mention memory pressure, but they concern different models and scenarios." + }, + { + "left": "issue:10514", + "right": "issue:11555", + "accept": false, + "reason": "Sana sample_size/binning limitation vs device_map support request are different issues." + }, + { + "left": "issue:10321", + "right": "issue:10520", + "accept": false, + "reason": "LTX-Video missing checkpoint files vs Sana device mismatch are unrelated." + }, + { + "left": "issue:1185", + "right": "issue:3301", + "accept": false, + "reason": "Both Dreambooth, but one is reproducibility and the other is a broken LoRA training script." + }, + { + "left": "issue:11033", + "right": "issue:12995", + "accept": false, + "reason": "SD1.5 single-file loading bug vs Cosmos pipeline behavior question; not the same problem." + }, + { + "left": "issue:11041", + "right": "issue:9306", + "accept": false, + "reason": "Both are device/offloading complaints, but they affect different models and code paths." + }, + { + "left": "issue:1617", + "right": "issue:713", + "accept": false, + "reason": "CLI missing-arguments error is not the same as a generic training failure." + }, + { + "left": "issue:199", + "right": "issue:201", + "accept": false, + "reason": "Dead-code cleanup request vs test issue; no duplicate bug/change." + }, + { + "left": "issue:4349", + "right": "issue:4676", + "accept": false, + "reason": "Text-encoder requirement bug vs TAESD latent color issue are distinct." + }, + { + "left": "issue:5840", + "right": "issue:8393", + "accept": false, + "reason": "Checkpoint resume/freezing bug vs slow shard loading are different problems." + }, + { + "left": "issue:8918", + "right": "issue:9424", + "accept": false, + "reason": "Both Dreambooth-script breakages, but they refer to different files and behaviors." + }, + { + "left": "issue:6101", + "right": "issue:7348", + "accept": false, + "reason": "Both touch ControlNet inpaint, but one is performance and the other is visual/output corruption." + }, + { + "left": "issue:4186", + "right": "issue:5108", + "accept": false, + "reason": "Different XL pipeline issues; no shared concrete bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 206, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10025", + "issue:10891", + "issue:10940", + "issue:11010", + "issue:11178", + "issue:11220", + "issue:11387", + "issue:11436", + "issue:11864", + "issue:11901", + "issue:12108", + "issue:12147", + "issue:1231", + "issue:12423", + "issue:1274", + "issue:1335", + "issue:1363", + "issue:1530", + "issue:2185", + "issue:2412", + "issue:2712", + "issue:3015", + "issue:3382", + "issue:3647", + "issue:3682", + "issue:4390", + "issue:4630", + "issue:4747", + "issue:4808", + "issue:490", + "issue:5197", + "issue:5224", + "issue:5317", + "issue:5320", + "issue:5595", + "issue:6095", + "issue:6370", + "issue:6374", + "issue:6393", + "issue:6695", + "issue:801", + "issue:852", + "issue:9001", + "issue:9034", + "issue:945", + "issue:962", + "issue:9756", + "issue:9822" + ], + "soft_pairs": [ + "issue:2185|issue:2712", + "issue:11387|issue:11864", + "issue:6095|issue:9001", + "issue:490|issue:801", + "issue:3682|issue:4630", + "issue:1335|issue:852", + "issue:2412|issue:3647", + "issue:4808|issue:6393", + "issue:10940|issue:9034", + "issue:1231|issue:5224", + "issue:3382|issue:5197", + "issue:10025|issue:9822", + "issue:1530|issue:4390", + "issue:3015|issue:6370", + "issue:4747|issue:6374", + "issue:5595|issue:6695", + "issue:11178|issue:12423", + "issue:11010|issue:12108", + "issue:1363|issue:945", + "issue:1274|issue:962", + "issue:11901|issue:12147", + "issue:11220|issue:9756", + "issue:5317|issue:5320", + "issue:10891|issue:11436" + ], + "prepared_review_unit_hash": "5c941ca07874e3284afbd2f536cf01206b1f03356f43cbd403db1c1d87979dce", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33722, + "estimated_input_tokens": 8431, + "estimated_eval_tokens": 17118 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is highly heterogeneous: most items are unrelated issue reports across different models, pipelines, docs, and dependency errors. 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"Unrelated: a SHAP-E integration test failure versus private HF download failures in from_single_file." + }, + { + "left": "issue:10940", + "right": "issue:9034", + "accept": false, + "reason": "Both are dependency/import complaints, but about different optional packages and different triggers." + }, + { + "left": "issue:1231", + "right": "issue:5224", + "accept": false, + "reason": "Flax-related, but the scheduler issue and the Stable Diffusion 2.1 error are not the same bug." + }, + { + "left": "issue:3382", + "right": "issue:5197", + "accept": false, + "reason": "Both concern multi-GPU training, but one is OOM and the other is slower-than-single-GPU performance." + }, + { + "left": "issue:10025", + "right": "issue:9822", + "accept": false, + "reason": "Both mention Flux, but attention-mask support and loading SDXL LoRAs into Flux are different problems." + }, + { + "left": "issue:1530", + "right": "issue:4390", + "accept": false, + "reason": "Completely different topics: a missing VQDiffusionPipeline embedding field versus generic missing requirements." + }, + { + "left": "issue:3015", + "right": "issue:6370", + "accept": false, + "reason": "Both relate to interoperability with WebUI, but one is ControlNet conversion and the other is LoRA usage." + }, + { + "left": "issue:4747", + "right": "issue:6374", + "accept": false, + "reason": "Both involve loading LoRA/fine-tuned weights, but they target different models and likely different loader paths." + }, + { + "left": "issue:5595", + "right": "issue:6695", + "accept": false, + "reason": "No real overlap: image-size validation versus a subprocess startup error." + }, + { + "left": "issue:11178", + "right": "issue:12423", + "accept": false, + "reason": "Both use from_single_file, but one is a ControlNet loading failure and the other is a Qwen transformer loader issue." + }, + { + "left": "issue:11010", + "right": "issue:12108", + "accept": false, + "reason": "Both mention Chroma/Flux and flow matching, but one is a support/architecture request and the other is a scheduler breakage." + }, + { + "left": "issue:1363", + "right": "issue:945", + "accept": false, + "reason": "ONNX appears in both, but one is a scheduler-specific pipeline error and the other is a checkpoint conversion request." + }, + { + "left": "issue:1274", + "right": "issue:962", + "accept": false, + "reason": "Different SD pipeline regressions: num_images_per_prompt handling versus inpaint size constraints." + }, + { + "left": "issue:11901", + "right": "issue:12147", + "accept": false, + "reason": "Both are Wan LoRA loading reports, but they involve different model versions and adapter types." + }, + { + "left": "issue:11220", + "right": "issue:9756", + "accept": false, + "reason": "Docs-related, but one is an example page bug and the other is a missing notebook/file issue." + }, + { + "left": "issue:5317", + "right": "issue:5320", + "accept": false, + "reason": "Same PEFT umbrella, but documentation work and adding adapter_name 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The soft pairs are mostly lexical/theme matches rather than the same underlying bug or change.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:10520 is the most concrete, actionable bug report here, but it is only one narrow device-mismatch failure and does not represent the rest of the heterogeneous set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8494", + "right": "issue:8593", + "accept": false, + "reason": "Different bugs: an unexpected keyword argument vs bfloat16 noise on CPU." + }, + { + "left": "issue:5509", + "right": "issue:9225", + "accept": false, + "reason": "Both are shape/batch-size failures, but they hit different pipeline paths and describe different mismatch causes." + }, + { + "left": "issue:10191", + "right": "issue:9876", + "accept": false, + "reason": "GPU device selection for training is unrelated to LoRA VRAM being released after training." + }, + { + "left": "issue:1889", + "right": "issue:2635", + "accept": false, + "reason": "Both mention DPM++ schedulers, but one is a variant request and the other is a naming question, not the same change." + }, + { + "left": "issue:7223", + "right": "issue:9303", + "accept": false, + "reason": "Two unrelated video-generation feature requests for different models/components." + }, + { + "left": "issue:10590", + "right": "issue:10891", + "accept": false, + "reason": "Both mention bfloat16, but one is tiled VAE decode and the other is DCAE type conversion; different root causes." + }, + { + "left": "issue:2905", + "right": "issue:6452", + "accept": false, + "reason": "Scheduler Karras sigmas support is unrelated to adding masked_image_latents to ControlNet inpaint." + }, + { + "left": "issue:4923", + "right": "issue:6423", + "accept": false, + "reason": "AudioLDM2 transcript support is unrelated to the fill50k reproduction issue." + }, + { + "left": "issue:10520", + "right": "issue:9306", + "accept": false, + "reason": "Both are device-related runtime issues, but they affect different pipelines and code paths." + }, + { + "left": "issue:10227", + "right": "issue:11653", + "accept": false, + "reason": "Different LoRA-loading concerns: feature-size validation vs support for .alpha keys." + }, + { + "left": "issue:11569", + "right": "issue:11710", + "accept": false, + "reason": "A repo request for one model is not the same as adding MagCache support." + }, + { + "left": "issue:11644", + "right": "issue:8435", + "accept": false, + "reason": "Both are loading failures, but init-from-pretrained and from_single_file are different APIs/problems." + }, + { + "left": "issue:2676", + "right": "issue:702", + "accept": false, + "reason": "Scheduler naming/lookup question is not the same as adding reverse sampling support." + }, + { + "left": "issue:3300", + "right": "issue:4265", + "accept": false, + "reason": "Both are import/distribution problems, but they are different modules and failure 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"left": "issue:7293", + "right": "issue:8780", + "accept": false, + "reason": "AudioLDM2 model integration is unrelated to a model/input dtype mismatch." + }, + { + "left": "issue:10302", + "right": "issue:9667", + "accept": false, + "reason": "Both involve FP8/local transformer concerns, but one reports inference noise and the other a loading error." + }, + { + "left": "issue:5558", + "right": "issue:6101", + "accept": false, + "reason": "Same pipeline family, but artifacts with multiple ControlNets and worse performance are different bugs." + }, + { + "left": "issue:2150", + "right": "issue:2783", + "accept": false, + "reason": "A texture-projection compatibility request is not the same as creating an img2img controlnet pipeline." + }, + { + "left": "issue:6069", + "right": "issue:8323", + "accept": false, + "reason": "An add_noise edge case at t=0 is unrelated to scheduler-file recognition." + }, + { + "left": "issue:6570", + "right": "issue:9225", + "accept": false, + "reason": "Both hit SDXL InstructPix2Pix tensor-size issues, but the rgba-image-specific latents mismatch is not clearly the same underlying bug as the broader tensor-shape runtime error." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 208, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10066", + "issue:10591", + "issue:10772", + "issue:10855", + "issue:12037", + "issue:12147", + "issue:13279", + "issue:1343", + "issue:1961", + "issue:2220", + "issue:2312", + "issue:2331", + "issue:2390", + "issue:2424", + "issue:2453", + "issue:2644", + "issue:2843", + "issue:3480", + "issue:3689", + "issue:3694", + 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"issue:1343|issue:2424", + "issue:5829|issue:6288", + "issue:4447|issue:8465", + "issue:10066|issue:12037", + "issue:5981|issue:5989" + ], + "prepared_review_unit_hash": "989a0d0b5bbbf49b0d33839e91baa5d285eab1865aecca66680906e10bcb4426", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33674, + "estimated_input_tokens": 8419, + "estimated_eval_tokens": 17094 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft-similarity pairs are not true duplicates; they span different models, pipelines, and failure modes. I rejected all soft edges and treated this as a heterogeneous set of issues rather than one duplicate cluster.", + "confidence": 0.98, + "canonical_issue_reason": "issue:10066 is the clearest concrete bug report with an explicit runtime traceback, making it the best fallback anchor even though the overall set is not a single duplicate family.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10066 is the most actionable standalone issue: open, specific, and describes a reproducible code-path error.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10772", + "right": "issue:9511", + "accept": false, + "reason": "Both mention ControlNet, but one is Sana support and the other is multi-controlnet batching for SDXL inpainting; different feature requests and code paths." + }, + { + "left": "issue:10855", + "right": "issue:8543", + "accept": false, + "reason": "Gradient accumulation stepping every batch is unrelated to SD3 dreambooth gradient-checkpointing failure; different training mechanics and symptoms." + }, + { + "left": "issue:3694", + "right": "issue:5197", + "accept": false, + "reason": "Pokemon finetune config/path error is not the same as multi-GPU being slower than single-GPU; one is setup failure, the other is performance behavior." + }, + { + "left": "issue:2331", + "right": "issue:2390", + "accept": false, + "reason": "ControlNet pipeline and T2I-Adapter support are distinct pipeline features, not the same bug or change." + }, + { + "left": "issue:2453", + "right": "issue:4923", + "accept": false, + "reason": "A contribution question is unrelated to an AudioLDM2 transcript/text-to-speech feature request." + }, + { + "left": "issue:4724", + "right": "issue:8994", + "accept": false, + "reason": "SDXL img2img behaving unexpectedly with a base checkpoint is a different problem from generation steps stuck at 0." + }, + { + "left": "issue:3740", + "right": "issue:7210", + "accept": false, + "reason": "Both involve accelerate/device_map, but the failures are different: legacy attention conversion vs missing named_parameters on StableDiffusionXLPipeline." + }, + { + "left": "issue:4782", + "right": "issue:4907", + "accept": false, + "reason": "Mask leakage in inpainting is a concrete bug; the SDXL inpainting-model warning is a different issue." + }, + { + "left": "issue:4874", + "right": "issue:6357", + "accept": false, + "reason": "A local low_res_scheduler bug and API-vs-local result divergence are not the same code-path problem." + }, + { + "left": "issue:12147", + "right": "issue:13279", + "accept": false, + "reason": "Wan2.2 Lightning LoRA loading failure and AutoencoderRAE loading error with older transformers are different model/load paths." + }, + { + "left": "issue:8477", + "right": "issue:8514", + "accept": false, + "reason": "DistributedDataParallel script error and EMAModel parallel fine-tuning error are different training bugs." + }, + { + "left": "issue:6090", + "right": "issue:9979", + "accept": false, + "reason": "Both are channel-shape errors, but they affect different models/pipelines and likely different tensor preparation paths." + }, + { + "left": "issue:2220", + "right": "issue:2644", + "accept": false, + "reason": "Both discuss DreamBooth multi-GPU usage, but one is broad problems and the other asks about 2x12GB feasibility; not the same underlying defect." + }, + { + "left": "issue:2312", + "right": "issue:2843", + "accept": false, + "reason": "EMA save-hook failure is unrelated to multi-GPU checkpoint saving." + }, + { + "left": "issue:3480", + "right": "issue:3689", + "accept": false, + "reason": "Text-encoder LoRA scaling and unloading LoRA weights are different LoRA features, not one bug." + }, + { + "left": "issue:4453", + "right": "issue:6399", + "accept": false, + "reason": "Converting SDXL LoRA weights to safetensors is different from LoRA weights not appearing in UIs." + }, + { + "left": "issue:9069", + "right": "issue:9293", + "accept": false, + "reason": "NumPy type mismatch and missing Float8 storage object are unrelated serialization/type bugs." + }, + { + "left": "issue:1961", + "right": "issue:6055", + "accept": false, + "reason": "These are too vague and refer to different dependency errors; no shared concrete failure path." + }, + { + "left": "issue:10591", + "right": "issue:7895", + "accept": false, + "reason": "An SD3 LoRA training script problem is unrelated to Flax memory-efficient attention." + }, + { + "left": "issue:1343", + "right": "issue:2424", + "accept": false, + "reason": "Enabling xformers by default is a feature decision, not a flake8-comprehension check issue." + }, + { + "left": "issue:5829", + "right": "issue:6288", + "accept": false, + "reason": "Missing a model config argument in LCM scripts is unrelated to a default learning-rate complaint." + }, + { + "left": "issue:4447", + "right": "issue:8465", + "accept": false, + "reason": "A restricted-model authorization error and a missing config.json loading error are different causes." + }, + { + "left": "issue:10066", + "right": "issue:12037", + "accept": false, + "reason": "The attn unpacking ValueError and Wan2.2/Lightx2v LoRA incompatibility are different model compatibility problems." + }, + { + "left": "issue:5981", + "right": "issue:5989", + "accept": false, + "reason": "DPMSolverMultistepScheduler bug and safetensors.torch bug are unrelated subsystems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 209, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:1064", + "issue:1083", + "issue:11275", + "issue:11907", + "issue:1546", + "issue:1604", + "issue:1831", + "issue:1941", + "issue:2044", + "issue:2177", + "issue:2340", + "issue:2495", + "issue:2614", + "issue:2646", + "issue:2761", + "issue:3191", + "issue:3933", + "issue:3978", + "issue:4014", + "issue:4210", + "issue:4376", + "issue:4593", + "issue:4638", + "issue:6113", + "issue:6238", + "issue:6283", + "issue:6295", + "issue:6632", + "issue:6689", + "issue:7000", + "issue:7002", + "issue:709", + "issue:7219", + "issue:7415", + "issue:851", + "issue:8588", + "issue:9063", + "issue:9141", + "issue:9366", + "issue:9476", + "issue:9511", + "issue:9619", + "issue:968", + "issue:9841", + "issue:9895", + "issue:9904", + "issue:9972" + ], + "soft_pairs": [ + "issue:4014|issue:6295", + "issue:1064|issue:1546", + "issue:2044|issue:851", + "issue:2614|issue:968", + "issue:9511|issue:9619", + "issue:1831|issue:2340", + "issue:7002|issue:9972", + "issue:4210|issue:7000", + "issue:6113|issue:6689", + "issue:4376|issue:4638", + "issue:10100|issue:7219", + "issue:2646|issue:6238", + "issue:3933|issue:4593", + "issue:11907|issue:9366", + "issue:9141|issue:9904", + "issue:1604|issue:3191", + "issue:9063|issue:9895", + "issue:1941|issue:2177", + "issue:11275|issue:9841", + "issue:2761|issue:709", + "issue:3978|issue:6283", + "issue:6632|issue:8588", + "issue:1083|issue:2495", + "issue:7415|issue:9476" + ], + "prepared_review_unit_hash": "b76d4b109a6a98eec2246c55fa9ef0f4ca64086bc96e48aaff7b9f9632ea78a0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33882, + "estimated_input_tokens": 8471, + "estimated_eval_tokens": 17198 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issue reports with broad topical overlap only. One pair, around SDXL textual inversion, looks like a plausible duplicate based on the titles/body metadata; the rest are conservative non-matches.", + "confidence": 0.82, + "canonical_issue_reason": "issue:4376 is the tighter report: it names StableDiffusionXLPipeline and a concrete failing call to load_textual_inversion, while issue:4638 describes the same SDXL textual inversion problem more generally.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:4376 is the strongest issue representative because it is the most specific bug report in the set, with a named pipeline and a clearly identified failing API call.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4014", + "right": "issue:6295", + "accept": false, + "reason": "Both mention image artifacts, but the titles point to different contexts: SDXL watermark artifacts vs DPM++ 2M SDE Karras artifacts." + }, + { + "left": "issue:1064", + "right": "issue:1546", + "accept": false, + "reason": "Scheduler add_noise errors and truncation-warning batched-input failures are different bugs." + }, + { + "left": "issue:2044", + "right": "issue:851", + "accept": false, + "reason": "Missing dtype on DistributedDataParallel and float/half mismatch are not the same failure mode." + }, + { + "left": "issue:2614", + "right": "issue:968", + "accept": false, + "reason": "Changing the pretrained-model download directory is unrelated to model-loading slowness." + }, + { + "left": "issue:9511", + "right": "issue:9619", + "accept": false, + "reason": "Multi-controlnet batching support and interrupt support are separate ControlNet feature requests." + }, + { + "left": "issue:1831", + "right": "issue:2340", + "accept": false, + "reason": "Dreambooth class-image precision mismatch and tiny-pipeline safety-checker errors are different issues." + }, + { + "left": "issue:7002", + "right": "issue:9972", + "accept": false, + "reason": "StableDiffusionImg2Img buffer-size failure and the MacOS/CogX 10TB buffer issue do not match." + }, + { + "left": "issue:4210", + "right": "issue:7000", + "accept": false, + "reason": "A usage question about attention_mask is not the same as a pytree deprecation warning." + }, + { + "left": "issue:6113", + "right": "issue:6689", + "accept": false, + "reason": "Using sd_control_collection models in diffusers and converting SSD-1B to Diffusers are different workflows." + }, + { + "left": "issue:4376", + "right": "issue:4638", + "accept": true, + "reason": "Both titles/body descriptions point to SDXL textual inversion failing via load_textual_inversion; one is a specific crash report and the other a broader statement of the same problem." + }, + { + "left": "issue:10100", + "right": "issue:7219", + "accept": false, + "reason": "Support for ConsisID and adding a SUPIR upscaler are distinct feature requests." + }, + { + "left": "issue:2646", + "right": "issue:6238", + "accept": false, + "reason": "A tiled-VAE IndexError and a generic SDXL VAE issue are not clearly the same bug." + }, + { + "left": "issue:3933", + "right": "issue:4593", + "accept": false, + "reason": "Graph compile logging.info breakage and an Automatic1111 LoRA rank error are different code-path problems." + }, + { + "left": "issue:11907", + "right": "issue:9366", + "accept": false, + "reason": "Both mention schedulers, but the Flux pipeline failure and the step-count/strength edge case are different bugs." + }, + { + "left": "issue:9141", + "right": "issue:9904", + "accept": false, + "reason": "Missing FluxPipeline.from_single_file() and silent image-shape rounding are unrelated." + }, + { + "left": "issue:1604", + "right": "issue:3191", + "accept": false, + "reason": "lpw_stable_diffusion breakage on diffusers 0.9.0 and Dreambooth+LoRA breakage are separate regressions." + }, + { + "left": "issue:9063", + "right": "issue:9895", + "accept": false, + "reason": "Tokenizer instantiation failure and cross-device tensor mismatch are different FluxPipeline issues." + }, + { + "left": "issue:1941", + "right": "issue:2177", + "accept": false, + "reason": "Custom pipeline loading for UnCLIP and pretrained AutoencoderKL loading are not the same bug." + }, + { + "left": "issue:11275", + "right": "issue:9841", + "accept": false, + "reason": "A NoneType addition in ResnetUpsampleBlock2D and the DreamBooth SDXL LoRA use_dora=False TypeError are different failures." + }, + { + "left": "issue:2761", + "right": "issue:709", + "accept": false, + "reason": "Documentation for UNet1DModel.extra_in_channels and a forward docstring request are not duplicates." + }, + { + "left": "issue:3978", + "right": "issue:6283", + "accept": false, + "reason": "MPS img2img breakage and SDXL ControlNet img2img strength=0 behavior are different pipeline issues." + }, + { + "left": "issue:6632", + "right": "issue:8588", + "accept": false, + "reason": "A lora-training save_state question and a missing conversion script are unrelated." + }, + { + "left": "issue:1083", + "right": "issue:2495", + "accept": false, + "reason": "FP16 ONNX incorrect output and an MPS black image are different backend-specific problems." + }, + { + "left": "issue:7415", + "right": "issue:9476", + "accept": false, + "reason": "TPU bfloat16 AutoencoderKL issues and a DreamBooth SDXL LoRA float/bfloat16 mismatch are different failures." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The duplicate call for issue:4376 vs issue:4638 is plausible, but the rationale overstates what is visible in the packet. In particular, claims like a \"reproducible code path\" are not grounded here, and \"one genuine duplicate pair here\" is stronger than the evidence supports. The soft-edge rejections are mostly conservative, but the summary and canonical reasoning should stay closer to the titles/body metadata only." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 210, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10016", + "issue:10336", + "issue:10671", + "issue:11396", + "issue:11432", + "issue:1161", + "issue:12052", + "issue:12728", + "issue:12783", + "issue:13105", + "issue:13446", + "issue:1434", + "issue:1704", + "issue:2331", + "issue:2402", + "issue:3249", + "issue:3406", + "issue:3915", + "issue:4232", + "issue:4410", + "issue:4450", + "issue:4674", + "issue:4724", + "issue:4880", + "issue:5368", + "issue:5647", + "issue:5799", + "issue:5897", + "issue:6132", + "issue:6162", + "issue:6164", + "issue:6176", + "issue:6460", + "issue:6548", + "issue:660", + "issue:6666", + "issue:7294", + "issue:7574", + "issue:7575", + "issue:759", + "issue:8469", + "issue:8729", + "issue:8809", + "issue:9148", + "issue:9303", + "issue:9637", + "issue:9680", + "issue:9792" + ], + "soft_pairs": [ + "issue:11432|issue:13446", + "issue:1434|issue:4674", + "issue:8809|issue:9637", + "issue:10016|issue:4410", + "issue:6176|issue:7574", + "issue:6666|issue:8729", + "issue:5368|issue:5897", + "issue:4450|issue:7294", + "issue:6132|issue:9303", + "issue:12052|issue:12728", + "issue:5647|issue:5799", + "issue:1161|issue:759", + "issue:4724|issue:6548", + "issue:8469|issue:9680", + "issue:3249|issue:6164", + "issue:10336|issue:10671", + "issue:11396|issue:9792", + "issue:1704|issue:3406", + "issue:6460|issue:9148", + "issue:2402|issue:4880", + "issue:2331|issue:4232", + "issue:6162|issue:7575", + "issue:12783|issue:13105", + "issue:3915|issue:660" + ], + "prepared_review_unit_hash": "1a65002d64993cc43981aa981fb118af904231d400dce0f6df1502f6c33f0a60", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34209, + "estimated_input_tokens": 8553, + "estimated_eval_tokens": 17362 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are not one duplicate cluster; they span unrelated bugs, features, and model-specific regressions. All soft pairs should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:10671 is the strongest standalone report: concrete, reproducible, and clearly scoped to a specific DiffusionPipeline dtype/device behavior. It is not a duplicate hub, just the best representative issue in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11432", + "right": "issue:13446", + "accept": false, + "reason": "Different problems: torch_dtype='auto' loading behavior vs custom_pipeline trust validation/security." + }, + { + "left": "issue:1434", + "right": "issue:4674", + "accept": false, + "reason": "OOM during upscale is unrelated to a memory leak when alternating width/height." + }, + { + "left": "issue:8809", + "right": "issue:9637", + "accept": false, + "reason": "Feedforward sequence-length inconsistency is not the same as XFormers attention-mask/bfloat16 failure." + }, + { + "left": "issue:10016", + "right": "issue:4410", + "accept": false, + "reason": "Different loading errors: SD3.5M single-file positional embedding mismatch vs UNet conv_in.weight shape mismatch." + }, + { + "left": "issue:6176", + "right": "issue:7574", + "accept": false, + "reason": "LoRA weight loading 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failure." + }, + { + "left": "issue:5647", + "right": "issue:5799", + "accept": false, + "reason": "StableDiffusionXLInpaintPipeline strength==1 bug is not the same as a general strength keyword question." + }, + { + "left": "issue:1161", + "right": "issue:759", + "accept": false, + "reason": "Flax-to-PyTorch conversion request is unrelated to making textual inversion save the full model optionally." + }, + { + "left": "issue:4724", + "right": "issue:6548", + "accept": false, + "reason": "SDXL Img2Img checkpoint mismatch is different from RGBA images being mistreated as latents in prepare_latents." + }, + { + "left": "issue:8469", + "right": "issue:9680", + "accept": false, + "reason": "Corrupt IP-Adapter faces are not the same as SDXL unconditional generation being broken." + }, + { + "left": "issue:3249", + "right": "issue:6164", + "accept": false, + "reason": "AttnUpBlock2D upsample_size argument error is unrelated to latent output-type handling." + }, + { + "left": "issue:10336", + "right": "issue:10671", + "accept": false, + "reason": "Sana activation clamping/explosion is a different model/path than the DiffusionPipeline dtype/device issue." + }, + { + "left": "issue:11396", + "right": "issue:9792", + "accept": false, + "reason": "LoRA conversion to ComfyUI format is unrelated to dataset cache mapping failures." + }, + { + "left": "issue:1704", + "right": "issue:3406", + "accept": false, + "reason": "General attention-block question is not the same as the only_cross_attention=True bug." + }, + { + "left": "issue:6460", + "right": "issue:9148", + "accept": false, + "reason": "Endless loading for an inpainting checkpoint is unrelated to adding a Flux inpainting pipeline." + }, + { + "left": "issue:2402", + "right": "issue:4880", + "accept": false, + "reason": "Torch CUDA-not-enabled environment error is unrelated to ControlNet single-image type validation." + }, + { + "left": "issue:2331", + "right": "issue:4232", + "accept": false, + "reason": "Adding a ControlNet pipeline is not the same as instruct-pix2pix training/inference code for controlnet condition." + }, + { + "left": "issue:6162", + "right": "issue:7575", + "accept": false, + "reason": "IP-Adapter SDXL shape mismatch is unrelated to Transformer2DModel adanorm shape errors." + }, + { + "left": "issue:12783", + "right": "issue:13105", + "accept": false, + "reason": "Sage Attention sm90 confetti output is a different issue from Wan2.1 output noise." + }, + { + "left": "issue:3915", + "right": "issue:660", + "accept": false, + "reason": "torch.compile support for text-to-video pipelines is unrelated to MPS fp16 revision/dtype handling." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 211, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10382", + "issue:1062", + "issue:10672", + "issue:10695", + "issue:11223", + "issue:11569", + "issue:12110", + "issue:12633", + "issue:1463", + "issue:1566", + "issue:1672", + "issue:1931", + "issue:2266", + "issue:2440", + "issue:2549", + "issue:2695", + "issue:2984", + "issue:3045", + "issue:3087", + "issue:3139", + "issue:337", + "issue:3467", + "issue:3647", + "issue:3689", + "issue:384", + "issue:3944", + "issue:4331", + "issue:460", + "issue:4692", + "issue:4912", + "issue:5000", + "issue:5402", + "issue:5518", + "issue:5574", + "issue:5575", + "issue:6790", + "issue:7054", + "issue:7243", + "issue:7454", + "issue:7629", + "issue:8560", + "issue:8565", + "issue:861", + "issue:8613", + "issue:917", + "issue:9216", + "issue:9264", + "issue:9362" + ], + "soft_pairs": [ + "issue:2695|issue:3467", + "issue:3689|issue:7454", + "issue:5574|issue:5575", + "issue:1931|issue:2440", + "issue:2266|issue:460", + "issue:3045|issue:3139", + "issue:6790|issue:7054", + "issue:1062|issue:4331", + "issue:10382|issue:12110", + "issue:10695|issue:12633", + "issue:1566|issue:3647", + "issue:2984|issue:3087", + "issue:3944|issue:4912", + "issue:9216|issue:9264", + "issue:2549|issue:4692", + "issue:1672|issue:861", + "issue:11223|issue:7629", + "issue:1463|issue:5402", + "issue:8560|issue:8613", + "issue:10672|issue:11569", + "issue:1463|issue:384", + "issue:5000|issue:5518", + "issue:8565|issue:9362", + "issue:7243|issue:9216", + "issue:337|issue:917" + ], + "prepared_review_unit_hash": "0d69a17d5a868f233515c2cf3b97eab1bdc180bb45edd1718015ba6cdc61fe0e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34020, + "estimated_input_tokens": 8505, + "estimated_eval_tokens": 17266 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated bugs, feature requests, environment issues, and training/model-specific reports. There is no strong duplicate core across the set.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue stands out; the items span distinct subsystems and failure modes (schedulers, LoRA loading/fusing, training OOMs, conversion scripts, and missing deps).", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12633 is the most concrete, code-path-specific bug report here and the closest fit for a duplicate anchor, but only for scheduler-timestep issues\u2014not the whole cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2695", + "right": "issue:3467", + "accept": false, + "reason": "Different bugs: tensorboard validation crash vs resuming at the wrong step with gradient accumulation." + }, + { + "left": "issue:3689", + "right": "issue:7454", + "accept": false, + "reason": "Both mention LoRA, but one is about unloading weights after load and the other is a generic support request." + }, + { + "left": "issue:5574", + "right": "issue:5575", + "accept": false, + "reason": "Both are LoRA training questions, but they ask about different parameters and are not the same bug/change." + }, + { + "left": "issue:1931", + "right": "issue:2440", + "accept": false, + "reason": "Both involve float16, but one is a dtype mismatch during Stable Diffusion 2 usage and the other is an inpainting model load error." + }, + { + "left": "issue:2266", + "right": "issue:460", + "accept": false, + "reason": "Different support/performance problems: CPU offload slowdown vs ONNX runtime dependency selection." + }, + { + "left": "issue:3045", + "right": "issue:3139", + "accept": false, + "reason": "Conversion of LoRA safetensors to diffusers is not the same as asking how to use a safetensors file for generation." + }, + { + "left": "issue:6790", + "right": "issue:7054", + "accept": false, + "reason": "Both concern LoRA/LCM internals, but one is a state_dict key mismatch and the other is input state_dict mutation." + }, + { + "left": "issue:1062", + "right": "issue:4331", + "accept": false, + "reason": "Dreambooth result mismatch and training-script result differences are related only broadly, not the same concrete issue." + }, + { + "left": "issue:10382", + "right": "issue:12110", + "accept": false, + "reason": "Different code paths: VAE encoder return-type mismatch vs UNet1D GaussianFourier initialization bug." + }, + { + "left": "issue:10695", + "right": "issue:12633", + "accept": false, + "reason": "Both are scheduler timestep bugs, but they affect different schedulers and different calculations; not mergeable as one fix." + }, + { + "left": "issue:1566", + "right": "issue:3647", + "accept": false, + "reason": "Both involve Dreambooth, but one is a checkpoint-save crash and the other is training with DeepFloyd." + }, + { + "left": "issue:2984", + "right": "issue:3087", + "accept": false, + "reason": "A model-paper/project entry is unrelated to a LoRA model-support request." + }, + { + "left": "issue:3944", + "right": "issue:4912", + "accept": false, + "reason": "Both are about LoRA/customization, but one asks for custom network rank in training while the other asks about converting CivitAI SDXL checkpoints." + }, + { + "left": "issue:9216", + "right": "issue:9264", + "accept": false, + "reason": "One is a custom multi-model pipeline idea; the other is a request for an inpainting model for Flux." + }, + { + "left": "issue:2549", + "right": "issue:4692", + "accept": false, + "reason": "Both mention UNet2DConditionModel, but one is a functional failure on SD2.0 while the other is a memory concern." + }, + { + "left": "issue:1672", + "right": "issue:861", + "accept": false, + "reason": "Both are conversion-related, but one reports wrong output size after a conversion script and the other is a general checkpoint-to-diffusers conversion failure." + }, + { + "left": "issue:11223", + "right": "issue:7629", + "accept": false, + "reason": "Both are OOM reports, but they concern different models and runtime environments; not the same underlying bug." + }, + { + "left": "issue:1463", + "right": "issue:5402", + "accept": false, + "reason": "Different missing-package/import errors: datasets vs compute_snr." + }, + { + "left": "issue:8560", + "right": "issue:8613", + "accept": false, + "reason": "Both are OOM issues, but one is SD3 training on a 4090 and the other is caption_column memory usage during dataset processing." + }, + { + "left": "issue:10672", + "right": "issue:11569", + "accept": false, + "reason": "A callback support request is unrelated to a repo request for a specific model release." + }, + { + "left": "issue:1463", + "right": "issue:384", + "accept": false, + "reason": "Different import/runtime failures: missing datasets package vs missing latent_dist attribute." + }, + { + "left": "issue:5000", + "right": "issue:5518", + "accept": false, + "reason": "Both involve LoRA behavior, but one is unfusing regression and the other is a ModuleList attribute error in a different LoRA path." + }, + { + "left": "issue:8565", + "right": "issue:9362", + "accept": false, + "reason": "Both are IndexError reports, but they arise in different pipelines and with different off-by-one contexts." + }, + { + "left": "issue:7243", + "right": "issue:9216", + "accept": false, + "reason": "ResAdapter is a specific adapter-model issue, while the other is a generic multi-model pipeline proposal." + }, + { + "left": "issue:337", + "right": "issue:917", + "accept": false, + "reason": "These are both old image-generation bugs, but one is img2img/text-guided inpainting and the other is an ONNX inpainting error; not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 212, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10147", + "issue:10887", + "issue:10893", + "issue:10987", + "issue:11010", + "issue:11109", + "issue:11374", + "issue:11592", + "issue:12009", + "issue:12149", + "issue:12396", + "issue:12575", + "issue:12666", + "issue:12887", + "issue:13067", + "issue:1909", + "issue:2806", + "issue:319", + "issue:322", + "issue:4390", + "issue:4609", + "issue:5166", + "issue:5371", + "issue:5593", + "issue:5605", + "issue:5931", + "issue:5966", + "issue:6073", + "issue:6287", + "issue:6412", + "issue:6545", + "issue:6586", + "issue:6685", + "issue:7223", + "issue:7312", + "issue:7417", + "issue:7428", + "issue:8482", + "issue:8543", + "issue:8667", + "issue:8880", + "issue:8918", + "issue:8994", + "issue:9258", + "issue:938", + "issue:9393", + "issue:9665", + "issue:9732" + ], + "soft_pairs": [ + "issue:5593|issue:7417", + "issue:11010|issue:12575", + "issue:1909|issue:2806", + "issue:10147|issue:7223", + "issue:10887|issue:11374", + "issue:10987|issue:8482", + "issue:4390|issue:5166", + "issue:5371|issue:7428", + "issue:6073|issue:9732", + "issue:6287|issue:8918", + "issue:6685|issue:8543", + "issue:8880|issue:9258", + "issue:6545|issue:6586", + "issue:319|issue:322", + "issue:5605|issue:7312", + "issue:9393|issue:9665", + "issue:5931|issue:8994", + "issue:10893|issue:13067", + "issue:12149|issue:12666", + "issue:4609|issue:938", + "issue:5966|issue:6412", + "issue:12009|issue:12887", + "issue:11592|issue:12396", + "issue:11109|issue:8667" + ], + "prepared_review_unit_hash": "384169c2a9c3c2d45d7c1b6129ad104ff80757b969beef2eba82c16ad4047874", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33399, + "estimated_input_tokens": 8350, + "estimated_eval_tokens": 16956 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No strong duplicate cluster emerges; most items are unrelated feature requests or distinct bugs. The only borderline case is the Flux Lora `delete_adapters` area, but it is still too specific/different to merge with confidence.", + "confidence": 0.74, + "canonical_issue_reason": "No clear canonical issue for the cluster: the items span many unrelated model-support requests, training bugs, and regressions, with no pair clearly describing the same underlying problem.", + "canonical_pr_reason": "No PRs were provided.", + "best_issue_reason": "issue:11592 is the most concrete and actionable standalone bug report: it names a specific regression in `FluxLoraLoaderMixin.delete_adapters` and is close to the only somewhat related follow-up issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5593", + "right": "issue:7417", + "accept": false, + "reason": "Different problems: `AutoPipeline.from_pipe` with ControlNet pipelines versus a Mac-specific LoRA fuse NaN failure." + }, + { + "left": "issue:11010", + "right": "issue:12575", + "accept": false, + "reason": "Both are Chroma/Flux-related, but one is a model architecture request and the other is an attention-backend check error; not the same bug." + }, + { + "left": "issue:1909", + "right": "issue:2806", + "accept": false, + "reason": "Generator API mismatch versus custom pipeline printing; distinct behaviors and code paths." + }, + { + "left": "issue:10147", + "right": "issue:7223", + "accept": false, + "reason": "Separate feature requests for multi-view generation and video generation support." + }, + { + "left": "issue:10887", + "right": "issue:11374", + "accept": false, + "reason": "Import error for `StableDiffusionXLTrainer` is unrelated to SkyReels-V2 support integration." + }, + { + "left": "issue:10987", + "right": "issue:8482", + "accept": false, + "reason": "Generic spatio-temporal models versus SD3-medium support; different requests." + }, + { + "left": "issue:4390", + "right": "issue:5166", + "accept": false, + "reason": "Missing dependencies in setup versus a VQVAE scaling-factor bug; not the same issue." + }, + { + "left": "issue:5371", + "right": "issue:7428", + "accept": false, + "reason": "Different feature requests: BLIP inpainting support versus layer diffusion support." + }, + { + "left": "issue:6073", + "right": "issue:9732", + "accept": false, + "reason": "A beginner DreamBooth setup error is not the same as Flux DreamBooth CUDA OOM during training." + }, + { + "left": "issue:6287", + "right": "issue:8918", + "accept": false, + "reason": "Unused dependencies in `setup.py` is unrelated to the SD3 DreamBooth script being broken." + }, + { + "left": "issue:6685", + "right": "issue:8543", + "accept": false, + "reason": "Absolute `output_dir` support and gradient-checkpointing failure are different DreamBooth issues." + }, + { + "left": "issue:8880", + "right": "issue:9258", + "accept": false, + "reason": "Both mention speed, but one is a version regression and the other is a Windows-vs-Linux performance gap; not the same change or bug." + }, + { + "left": "issue:6545", + "right": "issue:6586", + "accept": false, + "reason": "A tracker for modularizing inference is unrelated to micro-conditioning support for SDXL trainers." + }, + { + "left": "issue:319", + "right": "issue:322", + "accept": false, + "reason": "Two different model families (`VQ-Diffusion` vs `V-Diffusion`), not duplicates." + }, + { + "left": "issue:5605", + "right": "issue:7312", + "accept": false, + "reason": "Per-image caption support for DreamBooth is unrelated to AlignProp direct reward finetuning support." + }, + { + "left": "issue:9393", + "right": "issue:9665", + "accept": false, + "reason": "Both involve DeepSpeed, but one is a save-model failure and the other is `accelerator.prepare()` behavior; different concrete bugs." + }, + { + "left": "issue:5931", + "right": "issue:8994", + "accept": false, + "reason": "Nondeterministic generation and steps stuck at 0 are distinct symptoms with different likely causes." + }, + { + "left": "issue:10893", + "right": "issue:13067", + "accept": false, + "reason": "Separate feature requests for CogVideoX ControlNet and Anima support." + }, + { + "left": "issue:12149", + "right": "issue:12666", + "accept": false, + "reason": "Package/source version misalignment is not the same as missing Kandinsky 5.0 video pipeline support." + }, + { + "left": "issue:4609", + "right": "issue:938", + "accept": false, + "reason": "Different model requests: a T2I adapter model versus a human motion diffusion model." + }, + { + "left": "issue:5966", + "right": "issue:6412", + "accept": false, + "reason": "ControlNet model support and ControlNet annotator ONNX export are related only broadly, not the same issue." + }, + { + "left": "issue:12009", + "right": "issue:12887", + "accept": false, + "reason": "Both are `from_single_file` loading failures, but they concern different models and error paths." + }, + { + "left": "issue:11592", + "right": "issue:12396", + "accept": false, + "reason": "Related `delete_adapters` area, but one is a regression report and the other is a specific `leaf_level` interaction; too specific to treat as the same underlying bug without stronger evidence." + }, + { + "left": "issue:11109", + "right": "issue:8667", + "accept": false, + "reason": "Different mismatch failures in different model components: depth LoRA transformer layers versus SD3ControlNet image-size handling." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 213, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10003", + "issue:10147", + "issue:10542", + "issue:10639", + "issue:1083", + "issue:11093", + "issue:11223", + "issue:11229", + "issue:11315", + "issue:11536", + "issue:11540", + "issue:11592", + "issue:12567", + "issue:13286", + "issue:1539", + "issue:2177", + "issue:2830", + "issue:3097", + "issue:3171", + "issue:3379", + "issue:3537", + "issue:3799", + "issue:4210", + "issue:4376", + "issue:4949", + "issue:4969", + "issue:5455", + "issue:5510", + "issue:5576", + "issue:5661", + "issue:5689", + "issue:6186", + "issue:656", + "issue:7368", + "issue:7535", + "issue:7606", + "issue:8482", + "issue:8504", + "issue:8641", + "issue:8790", + "issue:9069", + "issue:9166", + "issue:9225", + "issue:9298", + "issue:9362", + "issue:9370", + "issue:9496" + ], + "soft_pairs": [ + "issue:11592|issue:13286", + "issue:3097|issue:4376", + "issue:3537|issue:7368", + "issue:3799|issue:7535", + "issue:5576|issue:6186", + "issue:11223|issue:12567", + "issue:10003|issue:9362", + "issue:2830|issue:4949", + "issue:3171|issue:3537", + "issue:8482|issue:8504", + "issue:2177|issue:3379", + "issue:9370|issue:9496", + "issue:11229|issue:11315", + "issue:1083|issue:1539", + "issue:4969|issue:656", + "issue:5455|issue:7606", + "issue:9069|issue:9298", + "issue:5689|issue:9166", + "issue:10542|issue:11093", + "issue:5510|issue:9225", + "issue:10147|issue:8790", + "issue:10639|issue:8641", + "issue:11536|issue:11540", + "issue:4210|issue:5661" + ], + "prepared_review_unit_hash": "9c420272417b3d1bf0d568577c5302aee15dec57bdeafb15ca2ba715967ade4e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32877, + "estimated_input_tokens": 8220, + "estimated_eval_tokens": 16696 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All soft-edge pairs are false positives: they share broad model/runtime themes, but each pair describes a different underlying bug, feature request, or code path. No duplicate cluster is supported here.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:11540 is the most detailed and actionable standalone bug report in the set, but it is not a duplicate target for the others.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11592", + "right": "issue:13286", + "accept": false, + "reason": "FluxLoRA adapter deletion regression vs torchao quantization support request; unrelated failures." + }, + { + "left": "issue:3097", + "right": "issue:4376", + "accept": false, + "reason": "Both involve textual inversion, but one is a no-op bug and the other is an SDXL crash; different symptoms and likely different causes." + }, + { + "left": "issue:3537", + "right": "issue:7368", + "accept": false, + "reason": "ControlNet conversion script vs GLIGEN training support; different features entirely." + }, + { + "left": "issue:3799", + "right": "issue:7535", + "accept": false, + "reason": "Scheduler type inference issue vs a Tensor type-hint mismatch; not the same bug." + }, + { + "left": "issue:5576", + "right": "issue:6186", + "accept": false, + "reason": "FreeNoise scheduler request vs i2vgen-xl implementation request; separate feature work." + }, + { + "left": "issue:11223", + "right": "issue:12567", + "accept": false, + "reason": "WAN LoRA OOM with layer-wise upcasting vs Ulysses Attention producing noise; distinct runtime problems." + }, + { + "left": "issue:10003", + "right": "issue:9362", + "accept": false, + "reason": "DDIM/DDPM step-count bug vs an index out-of-bounds error; different code paths." + }, + { + "left": "issue:2830", + "right": "issue:4949", + "accept": false, + "reason": "Modelscope image/text-to-video question vs ProPainter in/outpainting request; different model use cases." + }, + { + "left": "issue:3171", + "right": "issue:3537", + "accept": false, + "reason": "LPW prompt handling in ControlNet vs a ControlNet conversion script; not the same issue." + }, + { + "left": "issue:8482", + "right": "issue:8504", + "accept": false, + "reason": "General SD3-Medium support vs selecting which text encoders to train; related area, but different change requests." + }, + { + "left": "issue:2177", + "right": "issue:3379", + "accept": false, + "reason": "AutoencoderKL loading failure vs DreamBooth checkpoint loading failure; unrelated bugs." + }, + { + "left": "issue:9370", + "right": "issue:9496", + "accept": false, + "reason": "Missing pooled_projection argument in one forward path vs SD3ControlNetModel forward error; different concrete failures." + }, + { + "left": "issue:11229", + "right": "issue:11315", + "accept": false, + "reason": "MPS NaNs from attention slicing vs MPS breakage from float64 rope implementation; same platform, different root causes." + }, + { + "left": "issue:1083", + "right": "issue:1539", + "accept": false, + "reason": "FP16 ONNX incorrect output vs conversion-script int typing bug; unrelated." + }, + { + "left": "issue:4969", + "right": "issue:656", + "accept": false, + "reason": "ImportError for CrossAttention vs DreamBooth training error on 16GB GPU; no shared underlying defect." + }, + { + "left": "issue:5455", + "right": "issue:7606", + "accept": false, + "reason": "DreamBooth+lora notebook subprocess failure vs deprecated Kandinsky LoRA processor; different problems." + }, + { + "left": "issue:9069", + "right": "issue:9298", + "accept": false, + "reason": "NumPy type mismatch vs missing Float8 storage object; unrelated compatibility issues." + }, + { + "left": "issue:5689", + "right": "issue:9166", + "accept": false, + "reason": "Residual noise in SDXL DPM++ outputs vs unexpected overlay behavior; similar output complaints, but different code paths." + }, + { + "left": "issue:10542", + "right": "issue:11093", + "accept": false, + "reason": "Hunyuan Video batch-size regression vs TorchAO example breakage; not the same bug." + }, + { + "left": "issue:5510", + "right": "issue:9225", + "accept": false, + "reason": "Half/float bias mismatch in SDXL InstructPix2Pix vs latent size mismatch with RGBA images; distinct pipeline errors." + }, + { + "left": "issue:10147", + "right": "issue:8790", + "accept": false, + "reason": "MV-Adapter multi-view support vs SDXL TensorRT + IP-Adapter; broad adapter theme, but different implementation targets." + }, + { + "left": "issue:10639", + "right": "issue:8641", + "accept": false, + "reason": "Lumina-Image 2.0 support vs Lumina-T2X integration; related model family but separate feature requests." + }, + { + "left": "issue:11536", + "right": "issue:11540", + "accept": false, + "reason": "Flux prompt-adherence regression vs VAE slicing noise / Flux image2image support; different bugs, not one fixable change." + }, + { + "left": "issue:4210", + "right": "issue:5661", + "accept": false, + "reason": "UNet attention_mask usage question vs missing PreTrainedTokenizer import; unrelated issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 214, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10165", + "issue:10202", + "issue:10428", + "issue:1101", + "issue:11088", + "issue:11109", + "issue:11283", + "issue:11412", + "issue:11709", + "issue:11779", + "issue:1185", + "issue:12071", + "issue:12110", + "issue:12653", + "issue:13477", + "issue:1672", + "issue:1677", + "issue:1934", + "issue:2210", + "issue:2392", + "issue:3073", + "issue:3441", + "issue:3944", + "issue:4005", + "issue:4331", + "issue:4349", + "issue:4631", + "issue:4871", + "issue:5002", + "issue:5171", + "issue:5593", + "issue:6242", + "issue:6423", + "issue:6446", + "issue:7219", + "issue:725", + "issue:7569", + "issue:8320", + "issue:8885", + "issue:9026", + "issue:9293", + "issue:9424", + "issue:9516", + "issue:9731", + "issue:9768", + "issue:9902", + "issue:9930" + ], + "soft_pairs": [ + "issue:6446|issue:8885", + "issue:1101|issue:725", + "issue:10202|issue:11109", + "issue:10010|issue:11412", + "issue:6242|issue:8320", + "issue:9424|issue:9902", + "issue:11088|issue:11709", + "issue:12110|issue:13477", + "issue:12071|issue:9516", + "issue:2210|issue:3944", + "issue:1672|issue:1677", + "issue:1934|issue:3441", + "issue:2392|issue:4349", + "issue:10165|issue:9930", + "issue:3073|issue:7219", + "issue:4005|issue:6423", + "issue:11283|issue:11779", + "issue:10428|issue:12653", + "issue:4871|issue:5171", + "issue:9026|issue:9293", + "issue:4631|issue:5002", + "issue:1185|issue:4331", + "issue:5593|issue:7569", + "issue:9731|issue:9768" + ], + "prepared_review_unit_hash": "604b170fb18460a2a25d60639ff1d9570689eeca5e78f8346b34fe3dd1cf0eee", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33876, + "estimated_input_tokens": 8469, + "estimated_eval_tokens": 17194 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are only loosely related and should stay separate. The only duplicate-like match is the prompt_embeds/text_encoder validation bug in StableDiffusionImg2ImgPipeline vs StableDiffusionUpscalePipeline; the rest are different models, pipelines, or feature requests.", + "confidence": 0.68, + "canonical_issue_reason": "issue:2392 is the earlier and broader report of the prompt_embeds validation bug; issue:4349 appears to be the same underlying failure mode in another pipeline.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2392 is the best representative of the accepted duplicate pair because it describes the core bug more directly and is the more general report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6446", + "right": "issue:8885", + "accept": false, + "reason": "Both are loading/setup problems, but they affect different examples and failure points (Colab model loading vs Custom Diffusion dependencies/token loading)." + }, + { + "left": "issue:1101", + "right": "issue:725", + "accept": false, + "reason": "Different requests: adding a scheduler vs adding device-map/accelerate support for memory reduction." + }, + { + "left": "issue:10202", + "right": "issue:11109", + "accept": false, + "reason": "Both mention LoRA, but one is about unloading Flux Control LoRA and the other about transformer layer mismatches in depth LoRA; not the same bug." + }, + { + "left": "issue:10010", + "right": "issue:11412", + "accept": false, + "reason": "Both are 404/model download failures, but for different repos/models and likely different missing artifacts." + }, + { + "left": "issue:6242", + "right": "issue:8320", + "accept": false, + "reason": "Unrelated: one asks for dataset logs, the other is a from_single_file attribute error." + }, + { + "left": "issue:9424", + "right": "issue:9902", + "accept": false, + "reason": "Different issues: notebook breakage vs conda version pinning/stuck version." + }, + { + "left": "issue:11088", + "right": "issue:11709", + "accept": false, + "reason": "Both are load errors, but they concern different models and different failure modes (GGUF transformer load vs LoRA key mismatch)." + }, + { + "left": "issue:12110", + "right": "issue:13477", + "accept": false, + "reason": "Completely different code paths: UNet1D time projection initialization vs callback locals() scope bug." + }, + { + "left": "issue:12071", + "right": "issue:9516", + "accept": false, + "reason": "Both involve FLUX transformers, but one is a behavior change in single blocks forward and the other is missing joint_attention_kwargs propagation; not the same concrete bug." + }, + { + "left": "issue:2210", + "right": "issue:3944", + "accept": false, + "reason": "Both are LoRA training-related, but one is about training the text encoder and the other about configuring network rank; distinct feature requests." + }, + { + "left": "issue:1672", + "right": "issue:1677", + "accept": false, + "reason": "Different problems: image size regression after conversion vs a wrong data type passed to the pipeline." + }, + { + "left": "issue:1934", + "right": "issue:3441", + "accept": false, + "reason": "Both discuss memory usage, but the symptoms and contexts differ (cpu_offload vRAM vs PyTorch2/xformers VRAM)." + }, + { + "left": "issue:2392", + "right": "issue:4349", + "accept": true, + "reason": "Both report the same underlying validation bug: pipeline calls reject/use prompt_text_encoder incorrectly even when prompt_embeds are already provided." + }, + { + "left": "issue:10165", + "right": "issue:9930", + "accept": false, + "reason": "LoRA seed preservation is unrelated to PAG adaptive scale behavior." + }, + { + "left": "issue:3073", + "right": "issue:7219", + "accept": false, + "reason": "A feature request for consistency models is unrelated to adding a SUPIR upscaler." + }, + { + "left": "issue:4005", + "right": "issue:6423", + "accept": false, + "reason": "Both mention fill/inpaint-related topics only loosely; one is an aspect-ratio bug and the other is a reproducibility/logging question." + }, + { + "left": "issue:11283", + "right": "issue:11779", + "accept": false, + "reason": "Different Wan bugs: header deserialization vs incorrect mask padding in VACE pipeline." + }, + { + "left": "issue:10428", + "right": "issue:12653", + "accept": false, + "reason": "Different model/runtime errors: Ascend NPU Flux inference vs PRX rope float64/MPS issue." + }, + { + "left": "issue:4871", + "right": "issue:5171", + "accept": false, + "reason": "Both are about SDXL pipeline usage, but one is from_single_file usage guidance and the other is an unexpected safety_checker argument error." + }, + { + "left": "issue:9026", + "right": "issue:9293", + "accept": false, + "reason": "Different low-level compatibility errors: force_hook argument vs missing Float8 storage object." + }, + { + "left": "issue:4631", + "right": "issue:5002", + "accept": false, + "reason": "Both involve Karras sigma support, but they are different scheduler classes with different breakages; not the same concrete bug." + }, + { + "left": "issue:1185", + "right": "issue:4331", + "accept": false, + "reason": "Dreambooth reproducibility and differing train scripts are related only at a high level; they are not the same bug." + }, + { + "left": "issue:5593", + "right": "issue:7569", + "accept": false, + "reason": "Different issues: AutoPipeline conversion with ControlNet vs a Mac-specific FreeU test failure." + }, + { + "left": "issue:9731", + "right": "issue:9768", + "accept": false, + "reason": "Unrelated: training guidance for Playground2.5 vs a torch/CuDNN SDPA NaN error." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The only accepted duplicate pair, issue:2392 vs issue:4349, is a plausible same-bug match based on the prompt_embeds/text_encoder validation behavior. The other soft-edge rejections are reasonably cautious and do not overstate similarity." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 215, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10057", + "issue:10302", + "issue:10542", + "issue:10590", + "issue:10672", + "issue:10873", + "issue:11137", + "issue:1158", + "issue:12239", + "issue:12359", + "issue:12458", + "issue:12575", + "issue:1263", + "issue:12695", + "issue:13191", + "issue:13277", + "issue:1524", + "issue:2737", + "issue:305", + "issue:3064", + "issue:3537", + "issue:3585", + "issue:3884", + "issue:4002", + "issue:4005", + "issue:4061", + "issue:4354", + "issue:4496", + "issue:5079", + "issue:5328", + "issue:5371", + "issue:5390", + "issue:6055", + "issue:6079", + "issue:6132", + "issue:6141", + "issue:6331", + "issue:7210", + "issue:7219", + "issue:7389", + "issue:7751", + "issue:8323", + "issue:843", + "issue:8594", + "issue:8850", + "issue:8939", + "issue:8989", + "issue:9111" + ], + "soft_pairs": [ + "issue:6132|issue:7219", + "issue:10057|issue:10873", + "issue:1158|issue:1524", + "issue:10302|issue:8989", + "issue:6079|issue:7389", + "issue:7751|issue:8939", + "issue:10590|issue:11137", + "issue:12239|issue:13191", + "issue:1263|issue:305", + "issue:3537|issue:6141", + "issue:5371|issue:6331", + "issue:8323|issue:9111", + "issue:10542|issue:8850", + "issue:12458|issue:13277", + "issue:6055|issue:7210", + "issue:4061|issue:5328", + "issue:3884|issue:8594", + "issue:4002|issue:4005", + "issue:4354|issue:5390", + "issue:10672|issue:12695", + "issue:12359|issue:12575", + "issue:2737|issue:5079", + "issue:3064|issue:3585", + "issue:4496|issue:843" + ], + "prepared_review_unit_hash": "7d1b63b75f23cb06af7f44453c1f6365cd981d2bdbedc0859f95bd520c2e0d17", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33544, + "estimated_input_tokens": 8386, + "estimated_eval_tokens": 17028 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is noisy and mostly unrelated: the candidate pairs span different pipelines, features, and failure modes. No soft edge looks like the same underlying bug/change, so this does not form a true duplicate cluster.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue fits the set; the items are heterogeneous and not duplicates of one another.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative because the cluster does not cohere around one concrete bug or feature.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6132", + "right": "issue:7219", + "accept": false, + "reason": "LOADABLE_CLASSES support vs. SUPIR upscaler request are unrelated." + }, + { + "left": "issue:10057", + "right": "issue:10873", + "accept": false, + "reason": "Different models and failures: FluxTransformer2DModel.from_single_file token issue vs. SanaPipeline issue." + }, + { + "left": "issue:1158", + "right": "issue:1524", + "accept": false, + "reason": "Test interference and poor training quality are different problems." + }, + { + "left": "issue:10302", + "right": "issue:8989", + "accept": false, + "reason": "FP8 inference noise is unrelated to Stable Audio sequential offloading." + }, + { + "left": "issue:6079", + "right": "issue:7389", + "accept": false, + "reason": "Both are error reports, but the concrete bug/context is not the same from the titles alone." + }, + { + "left": "issue:7751", + "right": "issue:8939", + "accept": false, + "reason": "Animatediff conversion errors and tokenizer-loading errors are unrelated." + }, + { + "left": "issue:10590", + "right": "issue:11137", + "accept": false, + "reason": "Both mention dtype issues, but they affect different pipelines and code paths." + }, + { + "left": "issue:12239", + "right": "issue:13191", + "accept": false, + "reason": "Support requests for different models/projects; not the same change." + }, + { + "left": "issue:1263", + "right": "issue:305", + "accept": false, + "reason": "Generic import errors, but one is a specific missing class and the other is broader package import failure." + }, + { + "left": "issue:3537", + "right": "issue:6141", + "accept": false, + "reason": "ControlNet conversion script vs. ControlNet parameter support are different feature requests." + }, + { + "left": "issue:5371", + "right": "issue:6331", + "accept": false, + "reason": "Both involve inpainting, but one is BLIP pipe support and the other is SAG for inpainting." + }, + { + "left": "issue:8323", + "right": "issue:9111", + "accept": false, + "reason": "Scheduler file recognition and missing scheduler attribute are different bugs." + }, + { + "left": "issue:10542", + "right": "issue:8850", + "accept": false, + "reason": "Hunyuan batch-size regression and community pipeline mirror breakage are unrelated." + }, + { + "left": "issue:12458", + "right": "issue:13277", + "accept": false, + "reason": "Both touch Qwen batch input/inference, but one is a broad feature/issue request and the other is a specific Ulysses-SP batch failure; not clearly the same concrete bug." + }, + { + "left": "issue:6055", + "right": "issue:7210", + "accept": false, + "reason": "Accelerate-related error and named_parameters absence are different issues." + }, + { + "left": "issue:4061", + "right": "issue:5328", + "accept": false, + "reason": "Different LoRA-loading problems for different models; not the same bug." + }, + { + "left": "issue:3884", + "right": "issue:8594", + "accept": false, + "reason": "Training-script error and tokenizer variable scope error are unrelated." + }, + { + "left": "issue:4002", + "right": "issue:4005", + "accept": false, + "reason": "Missing from_single_file support vs. aspect-ratio preservation are different inpaint concerns." + }, + { + "left": "issue:4354", + "right": "issue:5390", + "accept": false, + "reason": "Inpaint from_single_file return-type bug vs. unwanted text-encoder download are unrelated." + }, + { + "left": "issue:10672", + "right": "issue:12695", + "accept": false, + "reason": "Callback-on-step-end support and Hunyuan v1.5 support are different requests." + }, + { + "left": "issue:12359", + "right": "issue:12575", + "accept": false, + "reason": "Documentation guidance_scale bug vs. attention-backend runtime error are not the same issue." + }, + { + "left": "issue:2737", + "right": "issue:5079", + "accept": false, + "reason": "DPMSolver CLIP guidance support and LyCORIS loading support are unrelated features." + }, + { + "left": "issue:3064", + "right": "issue:3585", + "accept": false, + "reason": "LoRA loading error and synthesized-LoRA model failure are different problems." + }, + { + "left": "issue:4496", + "right": "issue:843", + "accept": false, + "reason": "Prompt fusion feature request and prompt syntax documentation are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 216, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10111", + "issue:10302", + "issue:10315", + "issue:10591", + "issue:10674", + "issue:11033", + "issue:12022", + "issue:12085", + "issue:12605", + "issue:13104", + "issue:1962", + "issue:2202", + "issue:2364", + "issue:2392", + "issue:2769", + "issue:3580", + "issue:3817", + "issue:4014", + "issue:4043", + "issue:4122", + "issue:4453", + "issue:4646", + "issue:5028", + "issue:5168", + "issue:5233", + "issue:5433", + "issue:5465", + "issue:5540", + "issue:5951", + "issue:6486", + "issue:6497", + "issue:7056", + "issue:7300", + "issue:7408", + "issue:7600", + "issue:7970", + "issue:8535", + "issue:8593", + "issue:8604", + "issue:8708", + "issue:9001", + "issue:9063", + "issue:9163", + "issue:9170", + "issue:9514", + "issue:9904", + "issue:9936" + ], + "soft_pairs": [ + "issue:4646|issue:8604", + "issue:5465|issue:9001", + "issue:12605|issue:9904", + "issue:10111|issue:10591", + "issue:10302|issue:9514", + "issue:5540|issue:9170", + "issue:6486|issue:8708", + "issue:8535|issue:8593", + "issue:10674|issue:12085", + "issue:4122|issue:5233", + "issue:9063|issue:9904", + "issue:2364|issue:5951", + "issue:9163|issue:9936", + "issue:11033|issue:13104", + "issue:10315|issue:7056", + "issue:12022|issue:12605", + "issue:4014|issue:5433", + "issue:2769|issue:4453", + "issue:3580|issue:5028", + "issue:2392|issue:4043", + "issue:6497|issue:7408", + "issue:1962|issue:3817", + "issue:2202|issue:5168", + "issue:6486|issue:7600", + "issue:7300|issue:7970" + ], + "prepared_review_unit_hash": "dfd2cb5f85fd5d0e07f6aad4b82ea1dd83fd2760856de0d58ff378799ff1f949", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33378, + "estimated_input_tokens": 8345, + "estimated_eval_tokens": 16946 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster does not contain a single duplicate bug/change thread; the items span many unrelated subsystems (FLUX, SDXL, attention backends, training scripts, model loading, and generic feature requests). The soft links are mostly superficial title similarity, so none should be merged as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": "No safe canonical issue: the cluster is too heterogeneous, and the pairwise links appear to be title-similarity matches rather than the same underlying bug.", + "canonical_pr_reason": null, + "best_issue_reason": "If one issue must be chosen as the most representative standalone bug report, issue 12605 is the strongest candidate because it describes a concrete, code-path-specific defect with clear behavior and backend scope.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4646", + "right": "issue:8604", + "accept": false, + "reason": "Different bugs in different areas: ONNX export failure for ControlNet vs FP16 T5 corruption during image generation." + }, + { + "left": "issue:5465", + "right": "issue:9001", + "accept": false, + "reason": "Different pipeline concerns: DiffEdit inpaint_strength handling vs Auraflow aspect ratio support." + }, + { + "left": "issue:12605", + "right": "issue:9904", + "accept": false, + "reason": "Both involve FluxPipeline-related behavior, but one is attention-mask handling across backends and the other is image-shape rounding; not the same bug." + }, + { + "left": "issue:10111", + "right": "issue:10591", + "accept": false, + "reason": "Generic FLUX pipeline bugs vs SD3 LoRA training script issues; too broad and unrelated." + }, + { + "left": "issue:10302", + "right": "issue:9514", + "accept": false, + "reason": "FP8 inference noise without CPU offloading is unrelated to LoRA weight loading after FP8 quantization." + }, + { + "left": "issue:5540", + "right": "issue:9170", + "accept": false, + "reason": "OOM/inference memory pressure is not the same as a specific SDXL+ControlNet 36GB memory question." + }, + { + "left": "issue:6486", + "right": "issue:8708", + "accept": false, + "reason": "DreamBooth embedding retraction bug is distinct from missing sd3 VAE shift_factor in examples." + }, + { + "left": "issue:8535", + "right": "issue:8593", + "accept": false, + "reason": "xFormers attention enablement in SD3 is a different issue from SD3 bfloat16 CPU noise." + }, + { + "left": "issue:10674", + "right": "issue:12085", + "accept": false, + "reason": "Both mention GGUF loading, but FluxPipeline GGUF failure and WanVACETransformer3DModel GGUF load error are different models/code paths." + }, + { + "left": "issue:4122", + "right": "issue:5233", + "accept": false, + "reason": "Scheduler timestep count mismatch is unrelated to callback step-value reporting." + }, + { + "left": "issue:9063", + "right": "issue:9904", + "accept": false, + "reason": "Pretrained FluxPipeline tokenizer instantiation failure is not the same as silent image-shape rounding." + }, + { + "left": "issue:2364", + "right": "issue:5951", + "accept": false, + "reason": "Training script execution failure and PixArt training are different reports without a shared concrete bug." + }, + { + "left": "issue:9163", + "right": "issue:9936", + "accept": false, + "reason": "Flux LoRA tensor bugs and NCCL timeout in multigpu controlnet training are different failure modes." + }, + { + "left": "issue:11033", + "right": "issue:13104", + "accept": false, + "reason": "SD1.5 from_single_file loading issue is unrelated to a 'Logger is not defined' error." + }, + { + "left": "issue:10315", + "right": "issue:7056", + "accept": false, + "reason": "CogVideo training error and SDXL LoRA fine-tuning error are different training failures." + }, + { + "left": "issue:12022", + "right": "issue:12605", + "accept": false, + "reason": "Latest flash-attn interface incompatibility is a separate backend/API break from attn_mask being silently ignored." + }, + { + "left": "issue:4014", + "right": "issue:5433", + "accept": false, + "reason": "Watermark pixel artifacts and DPM++/SDXL visual artifacts are different image-quality issues." + }, + { + "left": "issue:2769", + "right": "issue:4453", + "accept": false, + "reason": "Model round-trip conversion corruption is unrelated to converting an SDXL LoRA to safetensors for A1111." + }, + { + "left": "issue:3580", + "right": "issue:5028", + "accept": false, + "reason": "XFormers TypeError and SDXL ReferencePipeline unexpected 'scale' argument are different compatibility bugs." + }, + { + "left": "issue:2392", + "right": "issue:4043", + "accept": false, + "reason": "Img2Img prompt_embeds validation error is distinct from SDXL pooled_prompt_embeds requirements." + }, + { + "left": "issue:6497", + "right": "issue:7408", + "accept": false, + "reason": "DragNUWA model/pipeline request and FRESCO pipeline request are separate feature topics, not duplicate bugs." + }, + { + "left": "issue:1962", + "right": "issue:3817", + "accept": false, + "reason": "General video generation with stable diffusion is not the same as the EDGE editable dance generation project." + }, + { + "left": "issue:2202", + "right": "issue:5168", + "accept": false, + "reason": "OpenVINO pipeline support request is unrelated to ControlNet-XS support." + }, + { + "left": "issue:6486", + "right": "issue:7600", + "accept": false, + "reason": "Embedding retraction happening twice is a different DreamBooth bug from missing accelerator.accumulate on text_encoder." + }, + { + "left": "issue:7300", + "right": "issue:7970", + "accept": false, + "reason": "set_default_attn_processor causing GPU memory growth is not the same as increasing RAM usage with enable_model_cpu_offload." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 217, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:10147", + "issue:1037", + "issue:10412", + "issue:10512", + "issue:11005", + "issue:1101", + "issue:11225", + "issue:11581", + "issue:12221", + "issue:12239", + "issue:13191", + "issue:1358", + "issue:1405", + "issue:2340", + "issue:2440", + "issue:2905", + "issue:3040", + "issue:4061", + "issue:4471", + "issue:4736", + "issue:4752", + "issue:5002", + "issue:5043", + "issue:5162", + "issue:5256", + "issue:5285", + "issue:5325", + "issue:539", + "issue:5395", + "issue:5515", + "issue:6094", + "issue:6333", + "issue:660", + "issue:6749", + "issue:6774", + "issue:6906", + "issue:7311", + "issue:7611", + "issue:8323", + "issue:8410", + "issue:8588", + "issue:8744", + "issue:8894", + "issue:8939", + "issue:9210", + "issue:9293", + "issue:9420" + ], + "soft_pairs": [ + "issue:4736|issue:9210", + "issue:1101|issue:5256", + "issue:4061|issue:4471", + "issue:5002|issue:539", + "issue:5515|issue:8323", + "issue:2440|issue:660", + "issue:3040|issue:6094", + "issue:4752|issue:5325", + "issue:11581|issue:9293", + "issue:7311|issue:8894", + "issue:6774|issue:7611", + "issue:10100|issue:8410", + "issue:10147|issue:12239", + "issue:1037|issue:2905", + "issue:10512|issue:9420", + "issue:11005|issue:8588", + "issue:12221|issue:13191", + "issue:1358|issue:5162", + "issue:5043|issue:5285", + "issue:6749|issue:6906", + "issue:5395|issue:6333", + "issue:1405|issue:2340", + "issue:8744|issue:8939", + "issue:10412|issue:11225" + ], + "prepared_review_unit_hash": "c4beba6f7cd63853bb34d9210ae2faba02cb548f94e9bed03706b815397fd29d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33701, + "estimated_input_tokens": 8426, + "estimated_eval_tokens": 17108 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated feature requests, training OOM reports, loading/type-mismatch bugs, and docs/utility issues. The soft pairs are only superficially similar and do not look like the same underlying change or defect.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue fits the cluster: the items span different models, pipelines, error modes, and even docs/support requests.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11581 is the most concrete and actionable bug report in the set, with a specific FLUX/IP-Adapter loading error and clear stack trace context.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4736", + "right": "issue:9210", + "accept": false, + "reason": "Both involve training, but one is an SDXL LoRA OOM report and the other is a CLI argument validation error; different bugs." + }, + { + "left": "issue:1101", + "right": "issue:5256", + "accept": false, + "reason": "A scheduler feature request and a training-support request for Insta-Flow are unrelated changes." + }, + { + "left": "issue:4061", + "right": "issue:4471", + "accept": false, + "reason": "Both mention LoRA loading, but they target different SDXL pipeline paths and different failure modes." + }, + { + "left": "issue:5002", + "right": "issue:539", + "accept": false, + "reason": "Scheduler argument support is unrelated to a snapshot_download keyword-argument error." + }, + { + "left": "issue:5515", + "right": "issue:8323", + "accept": false, + "reason": "LCM pipeline scheduler initialization failure and a scheduler file recognition issue are different problems." + }, + { + "left": "issue:2440", + "right": "issue:660", + "accept": false, + "reason": "Both involve precision/runtime behavior, but one is inpainting float16 loading and the other is MPS fp16 execution." + }, + { + "left": "issue:3040", + "right": "issue:6094", + "accept": false, + "reason": "A docs-copy-paste attribute error and a TextToVideoZero compatibility regression are not the same bug." + }, + { + "left": "issue:4752", + "right": "issue:5325", + "accept": false, + "reason": "Model dtype/bias mismatch versus packaging type metadata distribution; no shared code-path issue." + }, + { + "left": "issue:11581", + "right": "issue:9293", + "accept": false, + "reason": "These are distinct FLUX-related runtime errors with different root causes: dtype kwarg handling versus missing Float8 storage support." + }, + { + "left": "issue:7311", + "right": "issue:8894", + "accept": false, + "reason": "Checkpoint-saving failure in SDXL training and an error in a different unconditional training script are separate reports." + }, + { + "left": "issue:6774", + "right": "issue:7611", + "accept": false, + "reason": "AttentionProcessor mixed-precision mismatch and UNet tensor size mismatch are different failure classes." + }, + { + "left": "issue:10100", + "right": "issue:8410", + "accept": false, + "reason": "Two separate feature requests for different pipelines/models; not the same change." + }, + { + "left": "issue:10147", + "right": "issue:12239", + "accept": false, + "reason": "Different community feature requests for different video/multi-view models." + }, + { + "left": "issue:1037", + "right": "issue:2905", + "accept": false, + "reason": "One is a community pipeline request, the other is a scheduler enhancement; unrelated." + }, + { + "left": "issue:10512", + "right": "issue:9420", + "accept": false, + "reason": "Both touch FLUX/LoRA, but one is a load failure for Quanto Flux LoRA and the other is about loading a saved transformer after Hyper-SD LoRA; different concrete problems." + }, + { + "left": "issue:11005", + "right": "issue:8588", + "accept": false, + "reason": "A minor docstring/default mismatch is unrelated to a missing SD3 conversion script." + }, + { + "left": "issue:12221", + "right": "issue:13191", + "accept": false, + "reason": "Separate feature requests for different architectures and use cases." + }, + { + "left": "issue:1358", + "right": "issue:5162", + "accept": false, + "reason": "Safetensors format support and a conversion script to safetensors are related broadly, but they are not the same concrete bug/change." + }, + { + "left": "issue:5043", + "right": "issue:5285", + "accept": false, + "reason": "LoRA finetuning for Wurstchen and Japanese docs translation are completely unrelated." + }, + { + "left": "issue:6749", + "right": "issue:6906", + "accept": false, + "reason": "An InstantID replication issue and a broken LoRA DreamBooth example are different reports." + }, + { + "left": "issue:5395", + "right": "issue:6333", + "accept": false, + "reason": "Both mention PEFT/LoRA, but one is a bug combining LoRAs and the other is a feature request to finetune a pre-trained LoRA." + }, + { + "left": "issue:1405", + "right": "issue:2340", + "accept": false, + "reason": "Attention slicing regression and safety checker error in the tiny pipeline are unrelated." + }, + { + "left": "issue:8744", + "right": "issue:8939", + "accept": false, + "reason": "Model-loading-from-single-file training support and tokenizer loading for SD3 are different concerns." + }, + { + "left": "issue:10412", + "right": "issue:11225", + "accept": false, + "reason": "Both are OOM reports, but they involve different training scripts, models, and validation/runtime contexts." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 218, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10178", + "issue:10350", + "issue:10382", + "issue:10636", + "issue:10672", + "issue:10887", + "issue:11555", + "issue:11569", + "issue:11839", + "issue:12107", + "issue:12108", + "issue:1214", + "issue:12470", + "issue:12505", + "issue:12575", + "issue:13067", + "issue:1655", + "issue:1791", + "issue:1801", + "issue:1896", + "issue:1949", + "issue:2392", + "issue:2466", + "issue:2728", + "issue:2947", + "issue:3698", + "issue:3767", + "issue:3799", + "issue:4492", + "issue:4534", + "issue:457", + "issue:5368", + "issue:541", + "issue:5502", + "issue:5595", + "issue:6094", + "issue:6363", + "issue:6452", + "issue:646", + "issue:6570", + "issue:7606", + "issue:8373", + "issue:8482", + "issue:851", + "issue:8552", + "issue:8604", + "issue:8780", + "issue:9799" + ], + "soft_pairs": [ + "issue:1791|issue:457", + "issue:1896|issue:2392", + "issue:3799|issue:8373", + "issue:5595|issue:6363", + "issue:6094|issue:8552", + "issue:1655|issue:3767", + "issue:4492|issue:4534", + "issue:11839|issue:12107", + "issue:1949|issue:2466", + "issue:10672|issue:8482", + "issue:12470|issue:13067", + "issue:1801|issue:646", + "issue:3698|issue:541", + "issue:5368|issue:5502", + "issue:6452|issue:8780", + "issue:10636|issue:8604", + "issue:1214|issue:851", + "issue:2728|issue:2947", + "issue:7606|issue:9799", + "issue:11555|issue:12505", + "issue:12108|issue:12575", + "issue:10350|issue:10382", + "issue:10178|issue:6570", + "issue:10887|issue:11569" + ], + "prepared_review_unit_hash": "c4844f42a7982f2576862b823489b041ccfaa7d34ad611e125994c123487387b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33868, + "estimated_input_tokens": 8467, + "estimated_eval_tokens": 17190 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The proposed soft pairs are mostly false positives: many share only broad subsystem terms (MPS, fp16, dtype, pipeline names) but describe different failures, feature requests, or code paths. No single duplicate cluster emerges.", + "confidence": 0.94, + "canonical_issue_reason": "No canonical issue: the items are heterogeneous and do not share one underlying bug/change closely enough to justify merging them into a duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a clearly safe representative for the whole set; at most a few share broad themes, but none is a strong canonical anchor.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1791", + "right": "issue:457", + "accept": false, + "reason": "Both involve MPS, but one is an unsupported pipeline on Mac/MPS and the other is blue artifacts; different symptoms and likely different causes." + }, + { + "left": "issue:1896", + "right": "issue:2392", + "accept": false, + "reason": "Both mention prompt/embed-related failures, but one is a dict size/type error in CLIP-guided SD and the other is an img2img prompt validation issue." + }, + { + "left": "issue:3799", + "right": "issue:8373", + "accept": false, + "reason": "An inferred type issue and an incorrect error message are unrelated bug classes." + }, + { + "left": "issue:5595", + "right": "issue:6363", + "accept": false, + "reason": "One is a height/width divisibility validation error; the other is FP16 gradient scaling during training." + }, + { + "left": "issue:6094", + "right": "issue:8552", + "accept": false, + "reason": "Both hit TextToVideoZeroPipeline, but one is a post-update regression and the other is a segmentation fault; not the same concrete bug." + }, + { + "left": "issue:1655", + "right": "issue:3767", + "accept": false, + "reason": "Pipeline initialization failure and FrozenDict mutability are different problems." + }, + { + "left": "issue:4492", + "right": "issue:4534", + "accept": false, + "reason": "A JSON boolean NameError and an SDXL dreambooth MPS crash are unrelated." + }, + { + "left": "issue:11839", + "right": "issue:12107", + "accept": false, + "reason": "GGUF input-size failure in FluxKontextPipeline vs accelerator tracker handling of custom objects; no shared bug." + }, + { + "left": "issue:1949", + "right": "issue:2466", + "accept": false, + "reason": "Dreambooth tutorial training errors and checkpoint limit behavior are distinct issues." + }, + { + "left": "issue:10672", + "right": "issue:8482", + "accept": false, + "reason": "Callback support for pipelines and support for stable-diffusion-3-medium are unrelated feature requests." + }, + { + "left": "issue:12470", + "right": "issue:13067", + "accept": false, + "reason": "Quantizer API additions and adding support for Anima are different change requests." + }, + { + "left": "issue:1801", + "right": "issue:646", + "accept": false, + "reason": "A getattr argument-type error and a missing set_format attribute on PNDMScheduler are not the same defect." + }, + { + "left": "issue:3698", + "right": "issue:541", + "accept": false, + "reason": "Converting an inpainting model to diffusers and Diffusers on SageMaker are unrelated topics." + }, + { + "left": "issue:5368", + "right": "issue:5502", + "accept": false, + "reason": "Both touch FP16, but one is a runtime Q/K/V dtype mismatch and the other is a script not supporting fp16; not the same bug." + }, + { + "left": "issue:6452", + "right": "issue:8780", + "accept": false, + "reason": "Masked image latents support and a generic model/input dtype mismatch are different issues." + }, + { + "left": "issue:10636", + "right": "issue:8604", + "accept": false, + "reason": "A bug in value_guided_sampling.py and corrupted images from float16 T5 conversion are unrelated." + }, + { + "left": "issue:1214", + "right": "issue:851", + "accept": false, + "reason": "Both are half-precision/dtype complaints, but one is CLIPTextModel-specific and the other is a generic float-vs-half mismatch; too broad to merge." + }, + { + "left": "issue:2728", + "right": "issue:2947", + "accept": false, + "reason": "Loading safetensors via from_pretrained and missing load_attn_procs are different UNet API problems." + }, + { + "left": "issue:7606", + "right": "issue:9799", + "accept": false, + "reason": "A deprecation notice for a LoRA processor and a tensor-size mismatch runtime error are unrelated." + }, + { + "left": "issue:11555", + "right": "issue:12505", + "accept": false, + "reason": "device_map=\"auto\" support and a tgate error in img2img pipelines are different code paths and fixes." + }, + { + "left": "issue:12108", + "right": "issue:12575", + "accept": false, + "reason": "A scheduler/flow-matching break in Qwen Image and Chroma versus attention-backend checks in Chroma are related only by model family, not by the same underlying bug." + }, + { + "left": "issue:10350", + "right": "issue:10382", + "accept": false, + "reason": "VAE decoder memory use and an encoder return-type AttributeError are separate autoencoder bugs." + }, + { + "left": "issue:10178", + "right": "issue:6570", + "accept": false, + "reason": "Both are tensor size mismatch errors, but they occur in different models/pipelines and likely different shape logic." + }, + { + "left": "issue:10887", + "right": "issue:11569", + "accept": false, + "reason": "Importing StableDiffusionXLTrainer and requesting a diffusers repo for LTXV are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 219, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:10512", + "issue:10896", + "issue:10954", + "issue:10986", + "issue:11687", + "issue:11779", + "issue:11922", + "issue:1197", + "issue:1205", + "issue:12060", + "issue:12624", + "issue:12738", + "issue:13277", + "issue:1358", + "issue:1440", + "issue:193", + "issue:2195", + "issue:2266", + "issue:2838", + "issue:2883", + "issue:3960", + "issue:3975", + "issue:4014", + "issue:4269", + "issue:4406", + "issue:459", + "issue:4790", + "issue:5538", + "issue:5628", + "issue:5731", + "issue:5824", + "issue:5849", + "issue:6016", + "issue:6374", + "issue:6513", + "issue:6866", + "issue:7267", + "issue:7640", + "issue:7936", + "issue:8577", + "issue:8624", + "issue:8939", + "issue:8968", + "issue:9101", + "issue:9599", + "issue:9680", + "issue:9690" + ], + "soft_pairs": [ + "issue:11687|issue:12624", + "issue:5849|issue:6374", + "issue:1358|issue:2838", + "issue:7267|issue:9680", + "issue:4790|issue:6016", + "issue:10986|issue:11779", + "issue:7936|issue:8968", + "issue:2195|issue:2883", + "issue:2266|issue:4269", + "issue:5538|issue:5731", + "issue:8624|issue:8939", + "issue:12738|issue:13277", + "issue:4014|issue:5824", + "issue:5628|issue:7640", + "issue:10100|issue:10896", + "issue:10954|issue:11922", + "issue:6513|issue:6866", + "issue:8577|issue:9101", + "issue:3960|issue:4406", + "issue:10512|issue:9690", + "issue:1197|issue:459", + "issue:1205|issue:1440", + "issue:12060|issue:9599", + "issue:193|issue:3975" + ], + "prepared_review_unit_hash": "3be1001fc8c7406ef9a1992ec1a766238c473864252891a59cbc25c522ae86b9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33850, + "estimated_input_tokens": 8463, + "estimated_eval_tokens": 17182 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated feature requests and bug reports across different pipelines/models. The only strong duplicate-like pair is the safetensors/LoRA HeaderTooLarge reports (3960 and 4406), which describe the same loading failure.", + "confidence": 0.88, + "canonical_issue_reason": "Issue 4406 is the clearest, most explicit report of the underlying bug: a safetensors header deserialization failure (HeaderTooLarge).", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4406 is the best representative issue because it states the exact error and is more searchable/diagnostic than the shorter variant.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11687", + "right": "issue:12624", + "accept": false, + "reason": "Different requests in different areas: docs for optimization frameworks vs adding a pipeline parameter." + }, + { + "left": "issue:5849", + "right": "issue:6374", + "accept": false, + "reason": "One is a training-script argparse error; the other is a LoRA-weight loading question in a different model flow." + }, + { + "left": "issue:1358", + "right": "issue:2838", + "accept": false, + "reason": "Safetensors support and ControlNet pipeline behavior are unrelated changes." + }, + { + "left": "issue:7267", + "right": "issue:9680", + "accept": false, + "reason": "Both are pipeline bugs, but they affect different pipelines and different failure modes." + }, + { + "left": "issue:4790", + "right": "issue:6016", + "accept": false, + "reason": "Both involve conversion tools, but the reported bugs are distinct and not clearly the same code-path failure." + }, + { + "left": "issue:10986", + "right": "issue:11779", + "accept": false, + "reason": "Different underlying bugs: MPS complex-double conversion vs Wan VACE mask padding." + }, + { + "left": "issue:7936", + "right": "issue:8968", + "accept": false, + "reason": "A specific invalid-json safetensors load error is not the same as general safetensors loading support." + }, + { + "left": "issue:2195", + "right": "issue:2883", + "accept": false, + "reason": "Both are video-related requests, but they ask for different pipeline capabilities." + }, + { + "left": "issue:2266", + "right": "issue:4269", + "accept": false, + "reason": "Performance slowdown from CPU offload is unrelated to a TypeError in check_inputs defaults." + }, + { + "left": "issue:5538", + "right": "issue:5731", + "accept": false, + "reason": "Different latent/decoder implementation concerns; not the same bug." + }, + { + "left": "issue:8624", + "right": "issue:8939", + "accept": false, + "reason": "Undefined symbol in a CUDA extension and tokenizer loading failure are unrelated." + }, + { + "left": "issue:12738", + "right": "issue:13277", + "accept": false, + "reason": "Both mention batch inputs, but they affect different pipelines with different assertions/failure causes." + }, + { + "left": "issue:4014", + "right": "issue:5824", + "accept": false, + "reason": "Watermark artifacts are unrelated to the SDXL add_time_ids default-value issue." + }, + { + "left": "issue:5628", + "right": "issue:7640", + "accept": false, + "reason": "Scheduler denoising offset and from_single_file dimension errors are different problems." + }, + { + "left": "issue:10100", + "right": "issue:10896", + "accept": false, + "reason": "Two separate model-support requests for different models." + }, + { + "left": "issue:10954", + "right": "issue:11922", + "accept": false, + "reason": "A LoRA loading failure and a FLUX.1-Fill-dev runtime problem are not the same bug." + }, + { + "left": "issue:6513", + "right": "issue:6866", + "accept": false, + "reason": "Different adapter-support requests for different model classes and pipelines." + }, + { + "left": "issue:8577", + "right": "issue:9101", + "accept": false, + "reason": "Different SD3-related requests: differential diffusion vs a training script." + }, + { + "left": "issue:3960", + "right": "issue:4406", + "accept": true, + "reason": "Both describe the same safetensors HeaderTooLarge failure while loading a LoRA; 4406 is just the clearer error report." + }, + { + "left": "issue:1197", + "right": "issue:459", + "accept": false, + "reason": "OpenAI Diffusion Pipeline request and Incremental Diffusion proposal are unrelated feature ideas." + }, + { + "left": "issue:1205", + "right": "issue:1440", + "accept": false, + "reason": "ONNX conversion and cache deletion are unrelated issues." + }, + { + "left": "issue:12060", + "right": "issue:9599", + "accept": false, + "reason": "A DiT-block API question is not the same as asking for a LoRA-only FLUX finetune example." + }, + { + "left": "issue:193", + "right": "issue:3975", + "accept": false, + "reason": "Generic pipeline error vs an error-message typo about safetensors installation; different scope." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: the listed pairs are conservatively judged unrelated based on their titles, and the only accepted duplicate-like pair, 3960/4406, is plausibly the same safetensors HeaderTooLarge LoRA-loading failure. No PR mergeability concerns apply here." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 220, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10054", + "issue:10336", + "issue:10542", + "issue:10639", + "issue:11352", + "issue:11519", + "issue:1181", + "issue:12239", + "issue:12504", + "issue:12606", + "issue:13430", + "issue:1350", + "issue:1594", + "issue:1962", + "issue:2210", + "issue:2332", + "issue:3087", + "issue:318", + "issue:319", + "issue:3325", + "issue:3444", + "issue:3623", + "issue:3698", + "issue:3891", + "issue:4014", + "issue:4232", + "issue:4674", + "issue:4788", + "issue:4949", + "issue:4964", + "issue:5160", + "issue:5687", + "issue:5710", + "issue:5886", + "issue:5960", + "issue:6136", + "issue:671", + "issue:6935", + "issue:7569", + "issue:7661", + "issue:7782", + "issue:7882", + "issue:8504", + "issue:8723", + "issue:9101", + "issue:938", + "issue:9450", + "issue:9680" + ], + "soft_pairs": [ + "issue:4674|issue:4788", + "issue:8504|issue:9101", + "issue:10639|issue:12239", + "issue:10542|issue:9680", + "issue:11519|issue:13430", + "issue:1181|issue:3698", + "issue:2210|issue:5160", + "issue:2332|issue:4232", + "issue:4964|issue:7782", + "issue:1350|issue:3087", + "issue:1594|issue:4949", + "issue:1962|issue:3444", + "issue:318|issue:3891", + "issue:5687|issue:5710", + "issue:6935|issue:7882", + "issue:3325|issue:5960", + "issue:4014|issue:8723", + "issue:6136|issue:7569", + "issue:5886|issue:7661", + "issue:10336|issue:9450", + "issue:3623|issue:671", + "issue:10054|issue:12606", + "issue:11352|issue:12504", + "issue:319|issue:938" + ], + "prepared_review_unit_hash": "693f55c2c16df747b4bc9bb4f5949d93b3085f00e7995b86973962e737b38e95", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33269, + "estimated_input_tokens": 8318, + "estimated_eval_tokens": 16892 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a loose collection of unrelated issues and feature requests across different models, pipelines, and bug classes. The soft-similarity pairs only share broad topical overlap, not the same underlying defect or change, so none should be merged as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6136 is the strongest standalone bug report here: it describes a concrete, reproducible failure (`nans`) with a specific model, device, and version context, making it the most representative issue if a single one must be chosen.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4674", + "right": "issue:4788", + "accept": false, + "reason": "Both are memory-related, but one is a DiffusionPipeline memory leak when changing width/height and the other is SDXL inpaint OOM on 6 GB VRAM; different failure modes and likely different fixes." + }, + { + "left": "issue:8504", + "right": "issue:9101", + "accept": false, + "reason": "Different requests: SD3 text-encoder selection for training versus adding an InstructPix2Pix training script for SD3." + }, + { + "left": "issue:10639", + "right": "issue:12239", + "accept": false, + "reason": "Support requests for different models (Lumina-Image 2.0 vs InfiniteTalk); 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different functionality." + }, + { + "left": "issue:1962", + "right": "issue:3444", + "accept": false, + "reason": "Stable Diffusion video generation and ImageBind audio-to-image integration are different features and code paths." + }, + { + "left": "issue:318", + "right": "issue:3891", + "accept": false, + "reason": "Both are TTS-related, but Grad-TTS and Tortoise TTS are distinct models and implementation requests." + }, + { + "left": "issue:5687", + "right": "issue:5710", + "accept": false, + "reason": "Scheduler-adjacent bugs, but one is duplicate timesteps in Karras-sigma Img2Img and the other is missing `self.sigmas` initialization in a different scheduler." + }, + { + "left": "issue:6935", + "right": "issue:7882", + "accept": false, + "reason": "IP-Adapter face ID support and T2I-Adapter `from_single_file` support are unrelated features." + }, + { + "left": "issue:3325", + "right": "issue:5960", + "accept": false, + "reason": "Different training-time failures: CUDA invalid argument in Dreambooth versus invalid cast warning in ControlNet SDXL training." + }, + { + "left": "issue:4014", + "right": "issue:8723", + "accept": false, + "reason": "SDXL watermark artifacts and SD3ControlNetModel initialization errors are separate bugs in different components." + }, + { + "left": "issue:6136", + "right": "issue:7569", + "accept": false, + "reason": "SD2.1 NaNs on Mac CPU and a failing FreeU Mac test are not the same issue." + }, + { + "left": "issue:5886", + "right": "issue:7661", + "accept": false, + "reason": "IP-Adapter face model support versus making AnimateDiff work with an IP-Adapter-loaded UNet are different requests." + }, + { + "left": "issue:10336", + "right": "issue:9450", + "accept": false, + "reason": "Sana activation explosion/clamping and Flux multi-GPU device mismatch are unrelated bugs." + }, + { + "left": "issue:3623", + "right": "issue:671", + "accept": false, + "reason": "Unable to load larger models and converted models not being identical are different problems." + }, + { + "left": "issue:10054", + "right": "issue:12606", + "accept": false, + "reason": "Wrong `torch.linspace` parameters in beta-sigma testing and a wrong import in a conversion script are unrelated." + }, + { + "left": "issue:11352", + "right": "issue:12504", + "accept": false, + "reason": "Both mention warnings, but one is a bitsandbytes CPU-move warning and the other is a FreeU ComplexHalf warning; different code paths." + }, + { + "left": "issue:319", + "right": "issue:938", + "accept": false, + "reason": "VQ-Diffusion and Human Motion Diffusion Model are entirely different model requests." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 221, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10210", + "issue:10336", + "issue:10513", + "issue:10514", + "issue:10650", + "issue:10800", + "issue:1083", + "issue:10932", + "issue:10962", + "issue:11006", + "issue:11148", + "issue:12396", + "issue:1791", + "issue:2203", + "issue:2228", + "issue:2364", + "issue:2947", + "issue:3032", + "issue:3085", + "issue:3861", + "issue:3973", + "issue:4674", + "issue:4692", + "issue:4704", + "issue:4835", + "issue:490", + "issue:4936", + "issue:5044", + "issue:5372", + "issue:539", + "issue:5743", + "issue:5824", + "issue:5889", + "issue:5897", + "issue:6028", + "issue:7232", + "issue:730", + "issue:760", + "issue:7611", + "issue:7799", + "issue:7991", + "issue:834", + "issue:8930", + "issue:9392", + "issue:9485", + "issue:987", + "issue:9953" + ], + "soft_pairs": [ + "issue:5743|issue:5897", + "issue:5372|issue:5824", + "issue:2364|issue:4704", + "issue:4674|issue:490", + "issue:2228|issue:3861", + "issue:4835|issue:8930", + "issue:5889|issue:7232", + "issue:539|issue:987", + "issue:7611|issue:7799", + "issue:3085|issue:3973", + "issue:2947|issue:4692", + "issue:10650|issue:10962", + "issue:10800|issue:10932", + "issue:10210|issue:11006", + "issue:5044|issue:6028", + "issue:2203|issue:730", + "issue:10513|issue:12396", + "issue:3032|issue:3861", + "issue:4936|issue:7991", + "issue:9392|issue:9485", + "issue:1791|issue:760", + "issue:10336|issue:10514", + "issue:11148|issue:9953", + "issue:1083|issue:834" + ], + "prepared_review_unit_hash": "84485227691db66a2e6eab08c3729335b0788e946a2876f89b86add394e8dbc2", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33494, + "estimated_input_tokens": 8374, + "estimated_eval_tokens": 17004 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is heterogeneous: these issues span unrelated pipelines, models, and failure modes. The soft-similarity links are mostly superficial and should not be treated as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical duplicate exists here; the issues cover distinct bugs across Flux, Sana, Lumina, HunyuanVideo, PEFT, Kandinsky, and training/tooling topics.", + "canonical_pr_reason": null, + "best_issue_reason": "If a representative issue must be chosen, issue:11148 is one of the most concrete and actionable bug reports, but it is not a duplicate representative of the rest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5743", + "right": "issue:5897", + "accept": false, + "reason": "Different failures: training stuck at 0% vs LoRA device-mismatch during DreamBooth." + }, + { + "left": "issue:5372", + "right": "issue:5824", + "accept": false, + "reason": "Both involve SDXL, but one is about safety_checker usage and the other is a specific add_time_ids default bug." + }, + { + "left": "issue:2364", + "right": "issue:4704", + "accept": false, + "reason": "Unrelated training-script failures; generic training script error is not the same as custom diffusion script failure." + }, + { + "left": "issue:4674", + "right": "issue:490", + "accept": false, + "reason": "Both mention memory, but one is a width/height switching leak and the other is a broad memory complaint." + }, + { + "left": "issue:2228", + "right": "issue:3861", + "accept": false, + "reason": "One is a GPU-loading problem, the other is confusion about Pipeline.from_pretrained naming." + }, + { + "left": "issue:4835", + "right": "issue:8930", + "accept": false, + "reason": "Different ControlNet img2img bugs: MultiControlNetModel handling vs pose-image adherence." + }, + { + "left": "issue:5889", + "right": "issue:7232", + "accept": false, + "reason": "One is stable video diffusion, the other is a support request for multimodal diffusion transformers." + }, + { + "left": "issue:539", + "right": "issue:987", + "accept": false, + "reason": "Snapshot-download keyword argument error vs unexpected green image output; unrelated." + }, + { + "left": "issue:7611", + "right": "issue:7799", + "accept": false, + "reason": "Different tensor-shape failures in different pipelines and code paths." + }, + { + "left": "issue:3085", + "right": "issue:3973", + "accept": false, + "reason": "Same API-error pattern, but different removed/unsupported kwargs and different code paths." + }, + { + "left": "issue:2947", + "right": "issue:4692", + "accept": false, + "reason": "Missing load_attn_procs attribute is unrelated to a UNet memory issue." + }, + { + "left": "issue:10650", + "right": "issue:10962", + "accept": false, + "reason": "Both are shape-related, but they affect different models and mechanisms." + }, + { + "left": "issue:10800", + "right": "issue:10932", + "accept": false, + "reason": "Quantized offload uint8 error is unrelated to torch.compile hitting recompile_limit." + }, + { + "left": "issue:10210", + "right": "issue:11006", + "accept": false, + "reason": "Different symptoms and pipelines: img2img output too similar vs broken Wan video output with quantization." + }, + { + "left": "issue:5044", + "right": "issue:6028", + "accept": false, + "reason": "Kandinsky 2.2 load failure is not the same as Kandinsky 3.0 OOM." + }, + { + "left": "issue:2203", + "right": "issue:730", + "accept": false, + "reason": "Model download location issue vs DreamBooth learning quality issue; different problems." + }, + { + "left": "issue:10513", + "right": "issue:12396", + "accept": false, + "reason": "Colab/FLUX runtime errors are unrelated to leaf_level plus delete_adapters errors." + }, + { + "left": "issue:3032", + "right": "issue:3861", + "accept": false, + "reason": "Missing from_pretrained on a specific pipeline is not the same as a general Pipeline.from_pretrained naming question." + }, + { + "left": "issue:4936", + "right": "issue:7991", + "accept": false, + "reason": "DreamBooth resume regression and a basic training tutorial bug are different issues." + }, + { + "left": "issue:9392", + "right": "issue:9485", + "accept": false, + "reason": "Scheduler SNR-shift feature request vs moving scheduler tensors to GPU; different changes." + }, + { + "left": "issue:1791", + "right": "issue:760", + "accept": false, + "reason": "MPS support gap vs incorrect MPS output; same platform, different bugs." + }, + { + "left": "issue:10336", + "right": "issue:10514", + "accept": false, + "reason": "Sana activation clamping/explosion is unrelated to the sample_size 128 resolution-binning limitation." + }, + { + "left": "issue:11148", + "right": "issue:9953", + "accept": false, + "reason": "PEFT adapter state bug is unrelated to moving a quantized component to CUDA." + }, + { + "left": "issue:1083", + "right": "issue:834", + "accept": false, + "reason": "FP16 ONNX incorrect output and CPU underutilization are entirely different problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 222, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1013", + "issue:10202", + "issue:10334", + "issue:10411", + "issue:10490", + "issue:10529", + "issue:10596", + "issue:10671", + "issue:10760", + "issue:10767", + "issue:10817", + "issue:10873", + "issue:1101", + "issue:11046", + "issue:1117", + "issue:11351", + "issue:11886", + "issue:12321", + "issue:12459", + "issue:12666", + "issue:13034", + "issue:2089", + "issue:3010", + "issue:4210", + "issue:4332", + "issue:4534", + "issue:4616", + "issue:4631", + "issue:5026", + "issue:5285", + "issue:5545", + "issue:5595", + "issue:5646", + "issue:5689", + "issue:5951", + "issue:6091", + "issue:6222", + "issue:6518", + "issue:6783", + "issue:6794", + "issue:6928", + "issue:7793", + "issue:7842", + "issue:8410", + "issue:8589", + "issue:8612", + "issue:8647", + "issue:9972" + ], + "soft_pairs": [ + "issue:4616|issue:8647", + "issue:11886|issue:12459", + "issue:10411|issue:6518", + "issue:10817|issue:8589", + "issue:6091|issue:6222", + "issue:7793|issue:7842", + "issue:6783|issue:8612", + "issue:5545|issue:5595", + "issue:5646|issue:5689", + "issue:4210|issue:4332", + "issue:4534|issue:4631", + "issue:2089|issue:5951", + "issue:1013|issue:5026", + "issue:10202|issue:11046", + "issue:10334|issue:9972", + "issue:10490|issue:12321", + "issue:10529|issue:6928", + "issue:10596|issue:6794", + "issue:10671|issue:10873", + "issue:10760|issue:13034", + "issue:10767|issue:8410", + "issue:1101|issue:5285", + "issue:1117|issue:3010", + "issue:11351|issue:12666" + ], + "prepared_review_unit_hash": "3f506db9b7104b1127588064b6f4c1f85d44a38a1b9b4163d08a04f9e4b71e8b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33576, + "estimated_input_tokens": 8394, + "estimated_eval_tokens": 17044 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose collection of unrelated diffusers issues; the soft edges are mostly title-similarity false positives rather than true duplicates.", + "confidence": 0.27, + "canonical_issue_reason": "No clear duplicate cluster emerges. If one issue must be treated as the best standalone representative, issue:10671 is the strongest concrete bug report with a specific code-path and inbound reference.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10671 is the most representative standalone bug report here: it is concrete, reproducible, and narrowly scoped to dtype/device behavior in DiffusionPipeline.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4616", + "right": "issue:8647", + "accept": false, + "reason": "Different problems: SDXL LoRA conversion failure vs ControlNet img2img NoneType error. Same broad area, but not the same bug or fix." + }, + { + "left": "issue:11886", + "right": "issue:12459", + "accept": false, + "reason": "Both involve FLUX/FluxKontext, but one is a general pipeline issue and the other is a batch inference throughput problem. Not the same concrete defect." + }, + { + "left": "issue:10411", + "right": "issue:6518", + "accept": false, + "reason": "Unrelated training questions around example scripts; one asks how to call training, the other reports a NoneType floor-division error in a different script." + }, + { + "left": "issue:10817", + "right": "issue:8589", + "accept": false, + "reason": "Different model families and symptoms: missing SD3 ControlNets in auto_pipeline vs SD3 DreamBooth prior-preservation training behavior." + }, + { + "left": "issue:6091", + "right": "issue:6222", + "accept": false, + "reason": "Both scheduler/decoder memory or batch-size issues, but the concrete failure modes and affected components differ." + }, + { + "left": "issue:7793", + "right": "issue:7842", + "accept": false, + "reason": "Both mention DeepFloyd/LoRA-like workflows, but one is LoRA unload error while the other is a stage-2 size-mismatch on non-divisible inputs." + }, + { + "left": "issue:6783", + "right": "issue:8612", + "accept": false, + "reason": "PixArt generation artifacts vs mixed-precision inference incompatibility are distinct bugs with different failure surfaces." + }, + { + "left": "issue:5545", + "right": "issue:5595", + "accept": false, + "reason": "Both are inpaint/size-related user problems, but one concerns StableDiffusionInpaintPipeline usage and the other is an explicit height/width divisibility validation error." + }, + { + "left": "issue:5646", + "right": "issue:5689", + "accept": false, + "reason": "Both discuss DPM/DPM++ behavior, but one is a broad stability complaint on a model and the other is residual noise in SDXL images." + }, + { + "left": "issue:4210", + "right": "issue:4332", + "accept": false, + "reason": "Attention mask usage in UNet2DConditionModel is unrelated to xformers failing in the kandinsky2.2 pipeline." + }, + { + "left": "issue:4534", + "right": "issue:4631", + "accept": false, + "reason": "Both are runtime failures during diffusion use, but one is an MPS validation crash in SDXL DreamBooth and the other is a scheduler scalar conversion error." + }, + { + "left": "issue:2089", + "right": "issue:5951", + "accept": false, + "reason": "DreamBooth OOM while training AltDiffusion is unrelated to PixArt training questions." + }, + { + "left": "issue:1013", + "right": "issue:5026", + "accept": false, + "reason": "StableDiffusionMegaPipeline compatibility with Diffusers 6.0 is unrelated to a KeyError for text_encoder in 0.21.0." + }, + { + "left": "issue:10202", + "right": "issue:11046", + "accept": false, + "reason": "Flux LoRA unloading bug is distinct from Flux pipeline inference with controlnet/inpainting/ip-adapter." + }, + { + "left": "issue:10334", + "right": "issue:9972", + "accept": false, + "reason": "Sana on MacOS producing grey/NaN outputs is unrelated to CogX on MacOS requesting a huge buffer." + }, + { + "left": "issue:10490", + "right": "issue:12321", + "accept": false, + "reason": "An open feature request for Infinity support is not the same as HunyuanImage-2.1 support." + }, + { + "left": "issue:10529", + "right": "issue:6928", + "accept": false, + "reason": "Missing DDIMInverseScheduler timestep option is unrelated to adding a depth-map colorization toggle." + }, + { + "left": "issue:10596", + "right": "issue:6794", + "accept": false, + "reason": "FluxControlPipeline shape error and a training_utils import error are different code paths and symptoms." + }, + { + "left": "issue:10671", + "right": "issue:10873", + "accept": false, + "reason": "Deterministic dtype/device bug in DiffusionPipeline is unrelated to SanaPipeline issues." + }, + { + "left": "issue:10760", + "right": "issue:13034", + "accept": false, + "reason": "ONNX legacy import failure is unrelated to WanPipeline height/width handling." + }, + { + "left": "issue:10767", + "right": "issue:8410", + "accept": false, + "reason": "FlashVideo integration question is not the same as a feature request to natively support TextDiffuser pipelines." + }, + { + "left": "issue:1101", + "right": "issue:5285", + "accept": false, + "reason": "Scheduler addition request and docs translation request are clearly unrelated." + }, + { + "left": "issue:1117", + "right": "issue:3010", + "accept": false, + "reason": "Negative-prompt test coverage and distributed multi-GPU docs do not describe the same change." + }, + { + "left": "issue:11351", + "right": "issue:12666", + "accept": false, + "reason": "Wan video processor dtype behavior is unrelated to Kandinsky 5.0 Video Pipeline availability in a specific release." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 223, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11352", + "issue:11519", + "issue:12108", + "issue:12338", + "issue:12358", + "issue:12599", + "issue:12645", + "issue:12754", + "issue:1305", + "issue:13191", + "issue:13377", + "issue:1398", + "issue:1530", + "issue:1541", + "issue:1919", + "issue:202", + "issue:2250", + "issue:2377", + "issue:2538", + "issue:2550", + "issue:2603", + "issue:2674", + "issue:2761", + "issue:2866", + "issue:2883", + "issue:2972", + "issue:2984", + "issue:3073", + "issue:3093", + "issue:3111", + "issue:3113", + "issue:3159", + "issue:3817", + "issue:3838", + "issue:3843", + "issue:4386", + "issue:4390", + "issue:4630", + "issue:4912", + "issue:5442", + "issue:5877", + "issue:6928", + "issue:7264", + "issue:7365", + "issue:940", + "issue:9471", + "issue:9744" + ], + "soft_pairs": [ + "issue:11352|issue:12599", + "issue:11519|issue:13191", + "issue:12108|issue:12645", + "issue:12338|issue:9471", + "issue:12358|issue:9744", + "issue:12754|issue:13377", + "issue:1305|issue:3073", + "issue:1398|issue:940", + "issue:1530|issue:1919", + "issue:1541|issue:5877", + "issue:202|issue:2377", + "issue:2250|issue:2603", + "issue:2538|issue:6928", + "issue:2550|issue:3843", + "issue:2674|issue:4390", + "issue:2761|issue:3159", + "issue:2866|issue:4386", + "issue:2883|issue:3838", + "issue:2972|issue:7365", + "issue:2984|issue:3817", + "issue:3093|issue:4630", + "issue:3111|issue:4912", + "issue:3111|issue:7264", + "issue:3113|issue:5442" + ], + "prepared_review_unit_hash": "8d12526b4a69b1887274f7fa37673036c9f4042b8b58d1484f84c2d45c1608bf", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32606, + "estimated_input_tokens": 8152, + "estimated_eval_tokens": 16560 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is a grab bag of unrelated bugs, feature requests, and docs/tests work across different pipelines and model types. None of the suggested soft edges look like the same underlying issue, so I would not merge any of them into a duplicate cluster.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11352", + "right": "issue:12599", + "accept": false, + "reason": "Both are performance/device-related, but one is about 8-bit quantized pipeline moves to CPU lacking a warning and the other is about slow CUDA transfer after loading; different bug paths." + }, + { + "left": "issue:11519", + "right": "issue:13191", + "accept": false, + "reason": "MAGI-1 support request vs Elastic-DiT support request; both are feature requests for different models, not duplicates." + }, + { + "left": "issue:12108", + "right": "issue:12645", + "accept": false, + "reason": "Qwen Image/Chroma scheduler breakage is a specific flow-matching scheduler bug, while the other is a general inference-speed comparison question." + }, + { + "left": "issue:12338", + "right": "issue:9471", + "accept": false, + "reason": "AutoencoderDC VAE slicing decode bug is unrelated to a file-extension/resource-type parsing error." + }, + { + "left": "issue:12358", + "right": "issue:9744", + "accept": false, + "reason": "Lumina-DiMOO pipeline request and Mochi video model request are separate feature requests for different models." + }, + { + "left": "issue:12754", + "right": "issue:13377", + "accept": false, + "reason": "One is about from_pipe defaulting to float32, the other about QwenImagePipeline silently disabling CFG with negative_prompt_embeds; different code paths and symptoms." + }, + { + "left": "issue:1305", + "right": "issue:3073", + "accept": false, + "reason": "Direct Inversion paper/reference vs a request to add consistency models; unrelated research/model requests." + }, + { + "left": "issue:1398", + "right": "issue:940", + "accept": false, + "reason": "Both mention MPS, but one is Stable Diffusion 2 on Apple Silicon and the other is LMSDiscreteScheduler crashing on MPS; not the same bug." + }, + { + "left": "issue:1530", + "right": "issue:1919", + "accept": false, + "reason": "Missing VQDiffusion learned embeddings vs missing dreambooth requirements; unrelated missing-feature/dependency issues." + }, + { + "left": "issue:1541", + "right": "issue:5877", + "accept": false, + "reason": "Dreambooth model-type detection/load failure is different from subprocess.CalledProcessError in training scripts." + }, + { + "left": "issue:202", + "right": "issue:2377", + "accept": false, + "reason": "A request for tests for unet_blocks is unrelated to EMAModel tests." + }, + { + "left": "issue:2250", + "right": "issue:2603", + "accept": false, + "reason": "Dreambooth prompt generation failure is unrelated to Attend-And-Excitte non-square image generation." + }, + { + "left": "issue:2538", + "right": "issue:6928", + "accept": false, + "reason": "Training text encoder option in a LoRA script is unrelated to disabling Marigold depthmap colorization." + }, + { + "left": "issue:2550", + "right": "issue:3843", + "accept": false, + "reason": "ControlNet conversion failure and global_step key not found are different conversion/training metadata issues." + }, + { + "left": "issue:2674", + "right": "issue:4390", + "accept": false, + "reason": "LoRA safetensors requirement/install issue is different from a generic missing requirements report." + }, + { + "left": "issue:2761", + "right": "issue:3159", + "accept": false, + "reason": "Documentation for UNet1DModel.extra_in_channels is unrelated to a specific typo in a different docs page." + }, + { + "left": "issue:2866", + "right": "issue:4386", + "accept": false, + "reason": "LoRA .bin to .safetensors conversion improvement is unrelated to asking whether SDXL LoRA conversion works at all." + }, + { + "left": "issue:2883", + "right": "issue:3838", + "accept": false, + "reason": "Image-to-video pipeline request and Video Composer request are both video-related but describe different pipelines/models." + }, + { + "left": "issue:2972", + "right": "issue:7365", + "accept": false, + "reason": "A loop variable assignment bug is unrelated to pooled_prompt_embeds being overwritten." + }, + { + "left": "issue:2984", + "right": "issue:3817", + "accept": false, + "reason": "Latent video diffusion paper/reference vs EDGE music-to-dance generation request; different tasks." + }, + { + "left": "issue:3093", + "right": "issue:4630", + "accept": false, + "reason": "Question about modifying noise directly is unrelated to post-loading LoRA weight modification." + }, + { + "left": "issue:3111", + "right": "issue:4912", + "accept": false, + "reason": "Custom conditioning encoder request and SDXL checkpoint conversion request are different feature areas." + }, + { + "left": "issue:3111", + "right": "issue:7264", + "accept": false, + "reason": "Custom conditioning encoder request is unrelated to serializing/loading custom transformers models." + }, + { + "left": "issue:3113", + "right": "issue:5442", + "accept": false, + "reason": "Training-free layout control and ScaleCrafter are distinct generation techniques; not the same bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 224, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:3171", + "issue:3221", + "issue:3338", + "issue:3406", + "issue:3444", + "issue:3728", + "issue:4052", + "issue:4264", + "issue:4311", + "issue:4312", + "issue:4386", + "issue:4524", + "issue:459", + "issue:4868", + "issue:4877", + "issue:5062", + "issue:5070", + "issue:5130", + "issue:5254", + "issue:5284", + "issue:5371", + "issue:5643", + "issue:5931", + "issue:6093", + "issue:6113", + "issue:6295", + "issue:6616", + "issue:6732", + "issue:692", + "issue:7147", + "issue:7237", + "issue:7377", + "issue:7440", + "issue:7456", + "issue:8410", + "issue:8451", + "issue:8495", + "issue:8593", + "issue:8792", + "issue:9001", + "issue:9026", + "issue:9298", + "issue:9331", + "issue:9417", + "issue:9454", + "issue:9793", + "issue:9902" + ], + "soft_pairs": [ + "issue:3171|issue:5070", + "issue:3221|issue:3338", + "issue:3406|issue:4311", + "issue:3406|issue:5062", + "issue:3444|issue:3728", + "issue:4052|issue:7440", + "issue:4264|issue:7456", + "issue:4312|issue:5371", + "issue:4386|issue:4877", + "issue:4524|issue:6616", + "issue:459|issue:692", + "issue:4868|issue:8495", + "issue:5130|issue:6732", + "issue:5254|issue:9001", + "issue:5284|issue:8410", + "issue:5643|issue:6113", + "issue:5931|issue:9793", + "issue:6093|issue:8451", + "issue:6295|issue:8792", + "issue:7147|issue:7377", + "issue:7237|issue:9902", + "issue:8593|issue:9454", + "issue:9026|issue:9298", + "issue:9331|issue:9417" + ], + "prepared_review_unit_hash": "86c29659e65df62024496450b21bc954ddf20c1be2debf64468bb2faee95e285", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32386, + "estimated_input_tokens": 8097, + "estimated_eval_tokens": 16450 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are a loose set of unrelated Diffusers issues (ControlNet, schedulers, pipelines, docs, and model availability). No pull requests are present. Most soft pairs are only superficially similar and do not describe the same concrete bug or change.", + "confidence": 0.86, + "canonical_issue_reason": "issue:9331 is the strongest canonical issue candidate: it is a concrete, well-scoped bug in FlowMatchEulerDiscreteScheduler with a clear failing code path and likely reproducible behavior.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9331 is the best standalone issue for triage because it is specific, technical, and actionable rather than a question or feature request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3171", + "right": "issue:5070", + "accept": false, + "reason": "Both mention ControlNet, but one is about LPW prompting and the other about adding flags to the controlnet example; different features, not the same bug." + }, + { + "left": "issue:3221", + "right": "issue:3338", + "accept": false, + "reason": "Load-attn-procs failure and slow import are unrelated code paths and symptoms." + }, + { + "left": "issue:3406", + "right": "issue:4311", + "accept": false, + "reason": "one concerns only_cross_attention behavior in Attention; the other is a local_files_only assignment error during loading. Different bugs." + }, + { + "left": "issue:3406", + "right": "issue:5062", + "accept": false, + "reason": "Attention behavior with only_cross_attention is not the same as a typo in attention processor naming." + }, + { + "left": "issue:3444", + "right": "issue:3728", + "accept": false, + "reason": "ImageBind/StableUnCLIP audio-to-image integration and a new shifted diffusion pipeline request are distinct feature requests." + }, + { + "left": "issue:4052", + "right": "issue:7440", + "accept": false, + "reason": "'from_single_file' missing and a dataset no longer available are unrelated issues." + }, + { + "left": "issue:4264", + "right": "issue:7456", + "accept": false, + "reason": "Missing SDXL example images and a missing raise statement are not the same underlying problem." + }, + { + "left": "issue:4312", + "right": "issue:5371", + "accept": false, + "reason": "SAG for inpainting/img2img and BLIP inpainting pipe support are separate pipeline feature requests." + }, + { + "left": "issue:4386", + "right": "issue:4877", + "accept": false, + "reason": "SDXL LoRA conversion and exposing noise_init_strength are unrelated LoRA topics." + }, + { + "left": "issue:4524", + "right": "issue:6616", + "accept": false, + "reason": "AnimateDiff support and classifier guidance are different model/pipeline features." + }, + { + "left": "issue:459", + "right": "issue:692", + "accept": false, + "reason": "Both are broad diffusion ideas, but one is incremental diffusion and the other asks for a fine-tuning example; not the same change." + }, + { + "left": "issue:4868", + "right": "issue:8495", + "accept": false, + "reason": "A __getattr__ AttributeError and an SD3 tokenizer enum parsing error are different failures." + }, + { + "left": "issue:5130", + "right": "issue:6732", + "accept": false, + "reason": "A scheduler usage question and missing documentation for trained_betas are not the same issue." + }, + { + "left": "issue:5254", + "right": "issue:9001", + "accept": false, + "reason": "Multi-ControlNet inpaint support and Auraflow aspect ratios are unrelated feature requests." + }, + { + "left": "issue:5284", + "right": "issue:8410", + "accept": false, + "reason": "ControlNet-LLLite support and native TextDiffuser pipeline support are different integrations." + }, + { + "left": "issue:5643", + "right": "issue:6113", + "accept": false, + "reason": "How to use ip-adapter controlnet and how to use models from sd_control_collection are separate usage questions." + }, + { + "left": "issue:5931", + "right": "issue:9793", + "accept": false, + "reason": "Non-deterministic generation and a progress bar not updating are different behaviors with different code paths." + }, + { + "left": "issue:6093", + "right": "issue:8451", + "accept": false, + "reason": "push_to_hub behavior in one training script and missing training details/script for SD1.x are not the same problem." + }, + { + "left": "issue:6295", + "right": "issue:8792", + "accept": false, + "reason": "Artifacts with a specific scheduler setting and image quality degradation migrating from automatic1111 are too broad and not the same concrete bug." + }, + { + "left": "issue:7147", + "right": "issue:7377", + "accept": false, + "reason": "Missing StableCascadeDecoderPipeline import and num_images_per_prompt handling in that pipeline are distinct issues." + }, + { + "left": "issue:7237", + "right": "issue:9902", + "accept": false, + "reason": "Missing EDMEulerScheduler and conda version stuck at 0.30.3 are unrelated." + }, + { + "left": "issue:8593", + "right": "issue:9454", + "accept": false, + "reason": "bfloat16 CPU noise generation in SD3 and a missing CogVideoX model are unrelated." + }, + { + "left": "issue:9026", + "right": "issue:9298", + "accept": false, + "reason": "Unexpected force_hook argument and missing Float8 storage are different compatibility errors." + }, + { + "left": "issue:9331", + "right": "issue:9417", + "accept": false, + "reason": "Both mention index_for_timestep, but 9331 reports a bug in the method while 9417 proposes an optimization to remove sequential nonzero() calls; not the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 225, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10204", + "issue:10382", + "issue:10447", + "issue:10584", + "issue:10737", + "issue:10833", + "issue:10928", + "issue:11010", + "issue:11109", + "issue:11223", + "issue:11258", + "issue:11329", + "issue:11363", + "issue:11570", + "issue:12338", + "issue:12605", + "issue:12656", + "issue:12981", + "issue:13377", + "issue:1815", + "issue:2906", + "issue:3177", + "issue:3748", + "issue:3765", + "issue:3880", + "issue:4229", + "issue:4520", + "issue:4631", + "issue:5313", + "issue:5710", + "issue:6256", + "issue:6385", + "issue:6506", + "issue:7082", + "issue:7322", + "issue:782", + "issue:7897", + "issue:8831", + "issue:9051", + "issue:9170", + "issue:9178", + "issue:9331", + "issue:9460", + "issue:9479", + "issue:9496", + "issue:954", + "issue:9610", + "issue:9637" + ], + "soft_pairs": [ + "issue:12338|issue:9637", + "issue:5313|issue:8831", + "issue:1815|issue:3177", + "issue:11329|issue:11570", + "issue:4229|issue:7322", + "issue:10584|issue:9331", + "issue:10447|issue:10928", + "issue:10204|issue:10833", + "issue:11109|issue:9178", + "issue:10737|issue:9051", + "issue:7897|issue:9170", + "issue:3765|issue:3880", + "issue:9460|issue:9496", + "issue:4631|issue:5710", + "issue:782|issue:954", + "issue:3748|issue:4520", + "issue:11223|issue:11363", + "issue:11010|issue:9479", + "issue:11258|issue:12981", + "issue:10382|issue:12656", + "issue:12605|issue:13377", + "issue:6385|issue:6506", + "issue:2906|issue:7082", + "issue:6256|issue:9610" + ], + "prepared_review_unit_hash": "6672d62beb4e046e65027640a3b4c4469d3bf8c1d4f48f9d6f47f1cb7404f782", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34124, + "estimated_input_tokens": 8531, + "estimated_eval_tokens": 17318 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are unrelated and should stay separate. The only accepted soft pair is issue:10584 vs issue:9331, which both describe the same FlowMatchEulerDiscreteScheduler index_for_timestep failure. The inpainting-related pair issue:3765 vs issue:3880 is not a duplicate and remains rejected.", + "confidence": 0.85, + "canonical_issue_reason": "issue:3880 is the clearest original report for the inpainting degradation outside the masked area, while issue:9479 reads like a later paraphrase of the same symptom.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3880 is the strongest canonical issue candidate because it directly describes the core inpainting bug and appears to be the more established report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12338", + "right": "issue:9637", + "accept": false, + "reason": "Different bugs: AutoencoderDC VAE slicing/multi-image decoding versus XFormers attention-mask behavior with bf16 and sequence-length alignment." + }, + { + "left": "issue:5313", + "right": "issue:8831", + "accept": false, + "reason": "Both involve LoRA, but one is about non-revertible fuse behavior and the other about unsupported layers continuation; not the same concrete bug." + }, + { + "left": "issue:1815", + "right": "issue:3177", + "accept": false, + "reason": "Both touch training/DeepSpeed, but they describe different failures and code paths." + }, + { + "left": "issue:11329", + "right": "issue:11570", + "accept": false, + "reason": "Both involve bitsandbytes quantization, but one is a memory leak and the other is a .to() cast failure when loading LoRA weights." + }, + { + "left": "issue:4229", + "right": "issue:7322", + "accept": false, + "reason": "Multi-GPU accelerated training error versus SIGKILL/OOM during training are not the same underlying bug." + }, + { + "left": "issue:10584", + "right": "issue:9331", + "accept": true, + "reason": "These describe the same FlowMatchEulerDiscreteScheduler index_for_timestep problem from two angles; the titles point to the same method and failure mode." + }, + { + "left": "issue:10447", + "right": "issue:10928", + "accept": false, + "reason": "Related to model file handling, but one is a converter splitting UNet weights and the other is a missing fp16 bin during loading; not clearly the same bug." + }, + { + "left": "issue:10204", + "right": "issue:10833", + "accept": false, + "reason": "Both mention FluxFillPipeline, but one is iterative inpainting quality drift and the other is a matrix-shape mismatch with bitsandbytes quantization." + }, + { + "left": "issue:11109", + "right": "issue:9178", + "accept": false, + "reason": "Different LoRA-related failures: transformer layer mismatch versus PEFT target-module errors." + }, + { + "left": "issue:10737", + "right": "issue:9051", + "accept": false, + "reason": "One is missing image_encoder in FluxPipeline encode_image; the other is batch inference support. Distinct feature/bug reports." + }, + { + "left": "issue:7897", + "right": "issue:9170", + "accept": false, + "reason": "Both are GPU-related, but one is multi-GPU support and the other is high VRAM usage with SDXL+ControlNet." + }, + { + "left": "issue:3765", + "right": "issue:3880", + "accept": false, + "reason": "ControlNet training stacking artifacts and inpainting unmasked-area degradation are different behaviors and pipelines." + }, + { + "left": "issue:9460", + "right": "issue:9496", + "accept": false, + "reason": "Both concern SD3 ControlNet, but one is about assigning a list of models and the other is a forward-function error; not the same concrete issue." + }, + { + "left": "issue:4631", + "right": "issue:5710", + "accept": false, + "reason": "Both are DPMSolverSinglestepScheduler issues, but one is missing self.sigmas at init and the other is a scalar conversion problem with Karras sigmas." + }, + { + "left": "issue:782", + "right": "issue:954", + "accept": false, + "reason": "Authentication/download problems, but one is about use_auth_token removal and the other about loading after login; too different to merge." + }, + { + "left": "issue:3748", + "right": "issue:4520", + "accept": false, + "reason": "LoRA weight dtype mismatch versus attention slicing behavior are unrelated." + }, + { + "left": "issue:11223", + "right": "issue:11363", + "accept": false, + "reason": "Both can hit OOM, but they occur in different models and scenarios; not the same bug." + }, + { + "left": "issue:11010", + "right": "issue:9479", + "accept": false, + "reason": "A model-support request for Chroma/Flux architecture changes is unrelated to the inpainting mask regression." + }, + { + "left": "issue:11258", + "right": "issue:12981", + "accept": false, + "reason": "Different LTX generations and different failure modes: single-file support versus GGUF loading problems." + }, + { + "left": "issue:10382", + "right": "issue:12656", + "accept": false, + "reason": "VAE forward return-type mismatch and AuraFlow positional embedding OOB are unrelated." + }, + { + "left": "issue:12605", + "right": "issue:13377", + "accept": false, + "reason": "Both mention masks, but they affect different pipelines and different mechanisms (attention backend masking vs CFG/negative_prompt_embeds behavior)." + }, + { + "left": "issue:6385", + "right": "issue:6506", + "accept": false, + "reason": "Different StableVideoDiffusionPipeline issues: excessive VRAM versus wrong output type." + }, + { + "left": "issue:2906", + "right": "issue:7082", + "accept": false, + "reason": "Import/name resolution failures in different components and dependencies; not the same bug." + }, + { + "left": "issue:6256", + "right": "issue:9610", + "accept": false, + "reason": "Feature request for a callback versus adding load_lora_weights to an img2img pipeline are unrelated." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The issue cluster choice is mostly grounded, but the summary overstates the evidence: it claims an inpainting duplicate pair is genuine even though the only inpainting soft pair in the packet (3765 vs 3880) was rejected, and 3880 vs 9479 is not one of the listed soft pairs. Please keep the summary conservative and only mention pairs actually supported by the packet." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 226, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10111", + "issue:10231", + "issue:10883", + "issue:10897", + "issue:11555", + "issue:11592", + "issue:1185", + "issue:12108", + "issue:1231", + "issue:12653", + "issue:1417", + "issue:1708", + "issue:1857", + "issue:1934", + "issue:2016", + "issue:2507", + "issue:2532", + "issue:2784", + "issue:2984", + "issue:337", + "issue:3444", + "issue:3728", + "issue:3769", + "issue:4390", + "issue:4480", + "issue:4492", + "issue:5402", + "issue:6112", + "issue:6533", + "issue:6901", + "issue:7380", + "issue:7492", + "issue:775", + "issue:834", + "issue:8410", + "issue:8551", + "issue:8593", + "issue:8604", + "issue:8832", + "issue:9023", + "issue:9171", + "issue:9209", + "issue:9320", + "issue:9460", + "issue:9516", + "issue:9551", + "issue:9719", + "issue:984" + ], + "soft_pairs": [ + "issue:2507|issue:834", + "issue:11592|issue:8832", + "issue:3728|issue:6533", + "issue:1934|issue:984", + "issue:7492|issue:9209", + "issue:12108|issue:9460", + "issue:12108|issue:12653", + "issue:10111|issue:9516", + "issue:2784|issue:7380", + "issue:4480|issue:8604", + "issue:1185|issue:1708", + "issue:337|issue:775", + "issue:10231|issue:9023", + "issue:6112|issue:8593", + "issue:9320|issue:9719", + "issue:10897|issue:8410", + "issue:1417|issue:1857", + "issue:2984|issue:3444", + "issue:9171|issue:9719", + "issue:4390|issue:6901", + "issue:2532|issue:3769", + "issue:4492|issue:5402", + "issue:11555|issue:8551", + "issue:1231|issue:2016", + "issue:10883|issue:9551" + ], + "prepared_review_unit_hash": "4208c837c890e3096de5cf70ac3e74be3b901a8bd1a825d2e2dcc0be937307e9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34020, + "estimated_input_tokens": 8505, + "estimated_eval_tokens": 17266 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly heterogeneous: a mix of unrelated pipeline bugs, feature requests, and environment issues. The only credible duplicate pair is the StableDiffusionPanoramaPipeline quartered-image report and the get_views bug report; the rest share only broad subsystem keywords.", + "confidence": 0.67, + "canonical_issue_reason": "issue:2532 is the better canonical because it names the likely root cause (`get_views` in StableDiffusionPanoramaPipeline), while issue:3769 reads like the downstream symptom (quartered output).", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2532 is the strongest representative of the only true duplicate pair and is the most actionable/root-cause-oriented report in the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2507", + "right": "issue:834", + "accept": false, + "reason": "Both concern performance/utilization, but one is about safetensors GPU load speed and the other about CPU underutilization; too broad to be the same bug." + }, + { + "left": "issue:11592", + "right": "issue:8832", + "accept": false, + "reason": "Both are runtime failures, but they point to different pipelines and different failure modes; not the same concrete bug." + }, + { + "left": "issue:3728", + "right": "issue:6533", + "accept": false, + "reason": "Both are new-pipeline/feature style requests, but they target different models and different functionality." + }, + { + "left": "issue:1934", + "right": "issue:984", + "accept": false, + "reason": "One is a CPU offload memory complaint, the other is an interpolate/batch-size bug; unrelated code paths." + }, + { + "left": "issue:7492", + "right": "issue:9209", + "accept": false, + "reason": "Both involve loading models, but one is a missing repository error and the other is a mirror connectivity problem; different underlying causes." + }, + { + "left": "issue:12108", + "right": "issue:9460", + "accept": false, + "reason": "Different model families and different pipeline features; no shared concrete failure." + }, + { + "left": "issue:12108", + "right": "issue:12653", + "accept": false, + "reason": "Both mention model/runtime issues, but the bugs are distinct: flow-matching scheduler handling vs float64/MPS rope behavior." + }, + { + "left": "issue:10111", + "right": "issue:9516", + "accept": false, + "reason": "Both are FLUX-related, but one is a broad pipeline bug report and the other is a specific missing `joint_attention_kwargs` propagation issue." + }, + { + "left": "issue:2784", + "right": "issue:7380", + "accept": false, + "reason": "Both are feature requests for new diffusion capabilities, but they are different methods and different targets." + }, + { + "left": "issue:4480", + "right": "issue:8604", + "accept": false, + "reason": "Both involve fp16/MPS-type image corruption, but the reported pipelines and likely failing code paths differ." + }, + { + "left": "issue:1185", + "right": "issue:1708", + "accept": false, + "reason": "Dreambooth reproducibility and YAML inference config handling are different issues." + }, + { + "left": "issue:337", + "right": "issue:775", + "accept": false, + "reason": "Different symptoms: inpainting/img2img behavior vs fp16/autocast handling." + }, + { + "left": "issue:10231", + "right": "issue:9023", + "accept": false, + "reason": "Both are generic 'cannot run' reports, but one is an ImportError on Ubuntu tutorial code and the other is a sample code execution failure; not enough to match." + }, + { + "left": "issue:6112", + "right": "issue:8593", + "accept": false, + "reason": "Both mention noisy outputs, but they affect different models and hardware/dtype contexts." + }, + { + "left": "issue:9320", + "right": "issue:9719", + "accept": false, + "reason": "Training checkpoint save/load regression and progress-bar suppression are unrelated." + }, + { + "left": "issue:10897", + "right": "issue:8410", + "accept": false, + "reason": "Different requested model/pipeline integrations." + }, + { + "left": "issue:1417", + "right": "issue:1857", + "accept": false, + "reason": "CPU offloading implementation concern and poor testing of UnCLIP are not the same bug." + }, + { + "left": "issue:2984", + "right": "issue:3444", + "accept": false, + "reason": "Both are feature requests, but for different generation modalities and pipelines." + }, + { + "left": "issue:9171", + "right": "issue:9719", + "accept": false, + "reason": "Regression in single-file loading vs ignored progress-bar setting; different code paths." + }, + { + "left": "issue:4390", + "right": "issue:6901", + "accept": false, + "reason": "Missing requirements and missing scheduler method implementation are unrelated." + }, + { + "left": "issue:2532", + "right": "issue:3769", + "accept": true, + "reason": "These describe the same StableDiffusionPanoramaPipeline bug: a problem in `get_views` that manifests as quartered/incorrect panorama output." + }, + { + "left": "issue:4492", + "right": "issue:5402", + "accept": false, + "reason": "A JSON/Python boolean NameError and a missing `compute_snr` import are different issues." + }, + { + "left": "issue:11555", + "right": "issue:8551", + "accept": false, + "reason": "Both involve device placement, but one is a general `device_map=\"auto\"` question and the other is a specific VAE latent transfer bug." + }, + { + "left": "issue:1231", + "right": "issue:2016", + "accept": false, + "reason": "Different scheduler/sampling issues, not the same concrete failure." + }, + { + "left": "issue:10883", + "right": "issue:9551", + "accept": false, + "reason": "Marigold update/docs and using x-labs flux controlnet models are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: the StableDiffusionPanoramaPipeline pair is the only clearly matching duplicate, and the chosen canonical issue is justified by the more root-cause-oriented title. The other soft-edge rejections are conservative and do not overstate evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 227, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:10111", + "issue:10472", + "issue:10518", + "issue:10760", + "issue:10833", + "issue:10893", + "issue:11045", + "issue:11144", + "issue:11275", + "issue:11283", + "issue:11352", + "issue:11547", + "issue:11674", + "issue:11721", + "issue:12110", + "issue:12157", + "issue:12221", + "issue:12547", + "issue:13221", + "issue:13261", + "issue:1519", + "issue:1963", + "issue:2319", + "issue:2532", + "issue:3576", + "issue:4080", + "issue:4141", + "issue:4639", + "issue:5006", + "issue:5028", + "issue:5118", + "issue:5128", + "issue:5392", + "issue:5441", + "issue:5463", + "issue:5749", + "issue:5866", + "issue:5947", + "issue:6095", + "issue:6281", + "issue:7629", + "issue:785", + "issue:9031", + "issue:9038", + "issue:9576", + "issue:9619" + ], + "soft_pairs": [ + "issue:5118|issue:5866", + "issue:5749|issue:6095", + "issue:10100|issue:12221", + "issue:10893|issue:9619", + "issue:13221|issue:13261", + "issue:4141|issue:6281", + "issue:11144|issue:9576", + "issue:11283|issue:11674", + "issue:5128|issue:5463", + "issue:12157|issue:12547", + "issue:10111|issue:10518", + "issue:10760|issue:12110", + "issue:4080|issue:5947", + "issue:9031|issue:9038", + "issue:5006|issue:7629", + "issue:10893|issue:11547", + "issue:4639|issue:5441", + "issue:2319|issue:2532", + "issue:3576|issue:5028", + "issue:10472|issue:11275", + "issue:10833|issue:11352", + "issue:11045|issue:11721", + "issue:1963|issue:5392", + "issue:1519|issue:785" + ], + "prepared_review_unit_hash": "62e664d8703eb45c1b483763f8ec223a35d72cf8d6a7899e9a719cc3ac6338cf", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33596, + "estimated_input_tokens": 8399, + "estimated_eval_tokens": 17054 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set; it mixes unrelated feature requests, import/runtime bugs, training-script issues, and pipeline-specific regressions. The soft edges are only broad topic matches (e.g. ControlNet, LoRA, index errors) and do not look like the same underlying change or bug.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue: the items span many different pipelines, models, and failure modes, so there is no true duplicate anchor for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11045 is the strongest standalone bug report here: it has a concrete crash, a specific training script/model, and looks most actionable as a representative issue, but it does not unify the rest of the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5118", + "right": "issue:5866", + "accept": false, + "reason": "Both mention ControlNet, but one is a usage question about reference_only and the other is an AnimateDiff+ControlNet request; different underlying problems." + }, + { + "left": "issue:5749", + "right": "issue:6095", + "accept": false, + "reason": "Both are IndexError reports, but they affect different pipelines and likely different code paths; not the same bug." + }, + { + "left": "issue:10100", + "right": "issue:12221", + "accept": false, + "reason": "Both are feature requests for model support, but they target different integrations (ConsisID vs DiffSynth ControlNet)." + }, + { + "left": "issue:10893", + "right": "issue:9619", + "accept": false, + "reason": "Both are ControlNet-related, but one requests CogVideoX ControlNet integration and the other adds interrupt support to an existing pipeline; separate changes." + }, + { + "left": "issue:13221", + "right": "issue:13261", + "accept": false, + "reason": "Both involve LoRA support, but they concern different models and distinct failures; not the same underlying issue." + }, + { + "left": "issue:4141", + "right": "issue:6281", + "accept": false, + "reason": "Both touch multi-ControlNet functionality, but one is a behavior bug in an inpaint pipeline and the other is an import error for a symbol; different problems." + }, + { + "left": "issue:11144", + "right": "issue:9576", + "accept": false, + "reason": "One is a Flax dtype initialization bug and the other is a safetensors propagation issue during pipeline loading; unrelated code paths." + }, + { + "left": "issue:11283", + "right": "issue:11674", + "accept": false, + "reason": "Deserialization failure vs feature request for Wan VACE support; clearly different issues." + }, + { + "left": "issue:5128", + "right": "issue:5463", + "accept": false, + "reason": "Both are runtime errors, but one is about loading a single-file safetensors checkpoint and the other is an image_latents assignment bug; not duplicates." + }, + { + "left": "issue:12157", + "right": "issue:12547", + "accept": false, + "reason": "Different training/setup failures: one is a torch.device iteration error in quantization config handling, the other is a missing required CLI argument." + }, + { + "left": "issue:10111", + "right": "issue:10518", + "accept": false, + "reason": "Both mention FLUX/SD training issues, but they affect different scripts and error modes; no shared concrete bug." + }, + { + "left": "issue:10760", + "right": "issue:12110", + "accept": false, + "reason": "Import error for an ONNX pipeline class vs initialization bug in UNet1DModel; unrelated." + }, + { + "left": "issue:4080", + "right": "issue:5947", + "accept": false, + "reason": "Feature request for SDXL inpainting vs a policy/objective issue for Diffusion-DPO; no duplicate relation." + }, + { + "left": "issue:9031", + "right": "issue:9038", + "accept": false, + "reason": "Same FlaxStableDiffusionPipeline surface, but one asks about disabling the safety checker and the other about prompt weights; separate features." + }, + { + "left": "issue:5006", + "right": "issue:7629", + "accept": false, + "reason": "Both mention OOM, but the model, version, and scenario differ; not the same bug." + }, + { + "left": "issue:10893", + "right": "issue:11547", + "accept": false, + "reason": "Both are ControlNet support requests, but for different model families and integration scopes; too broad to be duplicates." + }, + { + "left": "issue:4639", + "right": "issue:5441", + "accept": false, + "reason": "Different training script failures in different projects/components; no shared concrete code-path." + }, + { + "left": "issue:2319", + "right": "issue:2532", + "accept": false, + "reason": "A typo in one loader method vs a get_views bug in a panorama pipeline; unrelated fixes." + }, + { + "left": "issue:3576", + "right": "issue:5028", + "accept": false, + "reason": "Both are TypeErrors, but they arise from different pipelines and patched functions; not the same underlying defect." + }, + { + "left": "issue:10472", + "right": "issue:11275", + "accept": false, + "reason": "One is a LoRA inference lora_bias keyword error, the other is a VAE NoneType addition error; different stack traces and causes." + }, + { + "left": "issue:10833", + "right": "issue:11352", + "accept": false, + "reason": "Both involve bitsandbytes quantization, but one is a matrix-shape runtime failure and the other is a missing CPU warning; not mergeable as one bug." + }, + { + "left": "issue:11045", + "right": "issue:11721", + "accept": false, + "reason": "Both are load crashes, but they involve different models and likely different initialization paths." + }, + { + "left": "issue:1963", + "right": "issue:5392", + "accept": false, + "reason": "One is about latent unconditional generation behavior, the other is a question on training an unconditional latent diffusion model; not the same issue." + }, + { + "left": "issue:1519", + "right": "issue:785", + "accept": false, + "reason": "Same StableDiffusionPipeline family, but one reports noisy batch outputs on Apple M2 and the other scheduler cost/performance; distinct bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 228, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10302", + "issue:10467", + "issue:10757", + "issue:10952", + "issue:1100", + "issue:11422", + "issue:12308", + "issue:1304", + "issue:1335", + "issue:1434", + "issue:1672", + "issue:2444", + "issue:3301", + "issue:3624", + "issue:3651", + "issue:4331", + "issue:4349", + "issue:4436", + "issue:463", + "issue:4880", + "issue:5112", + "issue:5474", + "issue:5523", + "issue:5873", + "issue:6054", + "issue:6087", + "issue:6095", + "issue:6162", + "issue:6283", + "issue:6323", + "issue:7138", + "issue:7611", + "issue:7682", + "issue:8523", + "issue:8565", + "issue:8708", + "issue:8744", + "issue:8939", + "issue:8997", + "issue:9147", + "issue:9297", + "issue:9393", + "issue:9397", + "issue:9471", + "issue:9505", + "issue:9713", + "issue:9902", + "issue:9941" + ], + "soft_pairs": [ + "issue:8523|issue:8997", + "issue:3301|issue:4331", + "issue:10757|issue:8939", + "issue:1672|issue:6087", + "issue:10302|issue:10467", + "issue:1335|issue:3624", + "issue:4880|issue:6054", + "issue:5474|issue:9713", + "issue:5873|issue:9902", + "issue:5112|issue:6283", + "issue:6095|issue:8565", + "issue:6162|issue:7611", + "issue:1434|issue:4349", + "issue:6323|issue:9505", + "issue:12308|issue:9397", + "issue:1304|issue:463", + "issue:4436|issue:8708", + "issue:7138|issue:8744", + "issue:9147|issue:9941", + "issue:7682|issue:9297", + "issue:11422|issue:9393", + "issue:3651|issue:5523", + "issue:1100|issue:2444", + "issue:10952|issue:9471" + ], + "prepared_review_unit_hash": "e72d77c3f2601ab08342c5b909dfc8beaa63c34410d27c6c98ffc164ea3536a0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34745, + "estimated_input_tokens": 8687, + "estimated_eval_tokens": 17630 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated issue titles that were linked by weak text similarity only; the soft pairs do not look like true duplicates or the same code change. I would keep issue #10302 as the broadest, clearest representative issue, but overall duplicate confidence is low.", + "confidence": 0.78, + "canonical_issue_reason": "#10302 is the clearest, most broadly framed bug report in the set and reads like a standalone product issue rather than a narrow example or environment-specific error.", + "canonical_pr_reason": null, + "best_issue_reason": "#10302 is the best representative issue because it describes a concrete runtime problem with a general impact and is not tied to a one-off filename/example artifact.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8523", + "right": "issue:8997", + "accept": false, + "reason": "Different runtime problems in different contexts: generic CUDA error in playground vs scheduler error in Kolors model." + }, + { + "left": "issue:3301", + "right": "issue:4331", + "accept": false, + "reason": "Both mention DreamBooth, but one is a failure report and the other is differing outputs between scripts; not the same bug." + }, + { + "left": "issue:10757", + "right": "issue:8939", + "accept": false, + "reason": "Rename-variable cleanup in a conversion script is unrelated to tokenizer loading OSError for SD3." + }, + { + "left": "issue:1672", + "right": "issue:6087", + "accept": false, + "reason": "Wrong output image size after conversion is unrelated to LoRA config persistence causing wrong lora_alpha at inference." + }, + { + "left": "issue:10302", + "right": "issue:10467", + "accept": false, + "reason": "FP8 inference noise is unrelated to a specific FLUX example-code/temp-file naming issue." + }, + { + "left": "issue:1335", + "right": "issue:3624", + "accept": false, + "reason": "Missing vae_encoder in ONNX pipeline init is different from getattr attribute-name type error." + }, + { + "left": "issue:4880", + "right": "issue:6054", + "accept": false, + "reason": "ControlNet image-argument validation error is unrelated to EulerDiscreteScheduler torch.from_numpy misuse." + }, + { + "left": "issue:5474", + "right": "issue:9713", + "accept": false, + "reason": "A new pipeline proposal is not the same as a Ctrlora training implementation request." + }, + { + "left": "issue:5873", + "right": "issue:9902", + "accept": false, + "reason": "ONNX export support for scaled_dot_product_attention is unrelated to a Conda version pin/stuck-version problem." + }, + { + "left": "issue:5112", + "right": "issue:6283", + "accept": false, + "reason": "Shape/type error in SDXL ControlNet Img2Img differs from the strength=0 behavior bug." + }, + { + "left": "issue:6095", + "right": "issue:8565", + "accept": false, + "reason": "SVD scheduler index error and SD3 LoRA load IndexError are different pipelines and failure modes." + }, + { + "left": "issue:6162", + "right": "issue:7611", + "accept": false, + "reason": "IP-Adapter shape mismatch and UNet tensor-size mismatch are distinct model-shape issues." + }, + { + "left": "issue:1434", + "right": "issue:4349", + "accept": false, + "reason": "OOM during upscaling is not the same as failing when text_encoder is absent despite prompt_embeds." + }, + { + "left": "issue:6323", + "right": "issue:9505", + "accept": false, + "reason": "TensorRT guidance_scale attribute handling is unrelated to a checkpoint key-missing upscale failure." + }, + { + "left": "issue:12308", + "right": "issue:9397", + "accept": false, + "reason": "Flash-attn GPU support and SGMUniform scheduler support for Hyper LoRAs are different feature requests." + }, + { + "left": "issue:1304", + "right": "issue:463", + "accept": false, + "reason": "A how-to training question is not the same as a super-resolution model feature request." + }, + { + "left": "issue:4436", + "right": "issue:8708", + "accept": false, + "reason": "Civitai safetensors conversion with VAE is unrelated to missing vae.config.shift_factor in SD3 DreamBooth examples." + }, + { + "left": "issue:7138", + "right": "issue:8744", + "accept": false, + "reason": "SDXL UNet structure mismatch is a model-architecture issue, not a request to use load-from-single-file for training." + }, + { + "left": "issue:9147", + "right": "issue:9941", + "accept": false, + "reason": "FLUX autopipeline error and stable diffusion colab error are generic but different runtime failures." + }, + { + "left": "issue:7682", + "right": "issue:9297", + "accept": false, + "reason": "Multi-GPU SD1.5 issues and linear LoRA load-time scaling are different performance/parallelism problems." + }, + { + "left": "issue:11422", + "right": "issue:9393", + "accept": false, + "reason": "Validation prompt crash in HiDream LoRA training is unrelated to Flux1 DreamBooth LoRA model-saving failure." + }, + { + "left": "issue:3651", + "right": "issue:5523", + "accept": false, + "reason": "Multi-GPU DreamBooth failure is distinct from inconsistent results across runs." + }, + { + "left": "issue:1100", + "right": "issue:2444", + "accept": false, + "reason": "CLIPTextTransformer device attribute error is unrelated to a subprocess non-zero exit in dreambooth inpaint training." + }, + { + "left": "issue:10952", + "right": "issue:9471", + "accept": false, + "reason": "LoRA adapter-name lookup error is unrelated to a multiple-file-extensions path/type inference error." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 229, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10025", + "issue:10057", + "issue:10334", + "issue:10336", + "issue:10712", + "issue:10896", + "issue:10954", + "issue:11050", + "issue:11137", + "issue:11222", + "issue:11519", + "issue:11721", + "issue:11724", + "issue:11779", + "issue:11907", + "issue:12195", + "issue:12771", + "issue:13300", + "issue:2294", + "issue:2606", + "issue:2838", + "issue:2844", + "issue:3338", + "issue:3679", + "issue:4005", + "issue:4043", + "issue:4116", + "issue:4349", + "issue:4399", + "issue:4542", + "issue:4779", + "issue:5009", + "issue:5034", + "issue:5897", + "issue:5934", + "issue:5947", + "issue:6351", + "issue:6593", + "issue:6866", + "issue:7185", + "issue:7982", + "issue:8482", + "issue:8885", + "issue:9248", + "issue:9374", + "issue:9516", + "issue:9958" + ], + "soft_pairs": [ + "issue:10896|issue:11519", + "issue:2294|issue:3338", + "issue:4116|issue:7185", + "issue:5947|issue:8482", + "issue:9374|issue:9958", + "issue:4043|issue:4349", + "issue:11721|issue:8885", + "issue:10334|issue:10336", + "issue:11907|issue:12771", + "issue:2606|issue:5897", + "issue:5034|issue:6351", + "issue:4399|issue:5934", + "issue:10025|issue:9516", + "issue:10712|issue:11050", + "issue:10954|issue:11724", + "issue:11137|issue:13300", + "issue:11222|issue:11779", + "issue:12195|issue:9248", + "issue:6866|issue:9958", + "issue:2838|issue:4005", + "issue:2844|issue:5009", + "issue:3679|issue:4779", + "issue:10057|issue:7982", + "issue:4542|issue:6593" + ], + "prepared_review_unit_hash": "e6d6a04f60cfe2d3f8791902e853a4d3674a95f0e91008549096ee80707a6da3", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33594, + "estimated_input_tokens": 8399, + "estimated_eval_tokens": 17054 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The candidate pairs are mostly false positives across different models, pipelines, or subsystems. I do not see any pair that clearly represents the same concrete bug/change, so I reject all soft edges and do not pick a canonical issue/PR.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10896", + "right": "issue:11519", + "accept": false, + "reason": "Both are support requests, but for different models (SkyReels-A1 vs MAGI-1) and different feature work; not the same bug/change." + }, + { + "left": "issue:2294", + "right": "issue:3338", + "accept": false, + "reason": "One is an import error for a missing pipeline class; the other is a general slow-import complaint. Different problems." + }, + { + "left": "issue:4116", + "right": "issue:7185", + "accept": false, + "reason": "Img2Img embedding support bug vs PyTorch version compatibility question; unrelated." + }, + { + "left": "issue:5947", + "right": "issue:8482", + "accept": false, + "reason": "Policy-objective request for Diffusion-DPO vs model support request for SD3-medium; no shared bug." + }, + { + "left": "issue:9374", + "right": "issue:9958", + "accept": false, + "reason": "AutoPipeline support for Flux pipelines vs AutoencoderKLTemporalDecoder tiling support; different features." + }, + { + "left": "issue:4043", + "right": "issue:4349", + "accept": false, + "reason": "Both involve prompt_embeds/SDXL, but the concrete failures differ and likely need separate fixes; not clearly one underlying bug." + }, + { + "left": "issue:11721", + "right": "issue:8885", + "accept": false, + "reason": "Sana load crash vs clip-retrieval installation/modifier-token issue; unrelated." + }, + { + "left": "issue:10334", + "right": "issue:10336", + "accept": false, + "reason": "Both are Sana numerical-stability reports, but one is MacOS/MPS/CPU output corruption and the other is activations/clamping; too indirect to treat as the same bug." + }, + { + "left": "issue:11907", + "right": "issue:12771", + "accept": false, + "reason": "General Flux scheduler incompatibility vs a specific DPMSolver out-of-bounds edge case; not the same concrete failure." + }, + { + "left": "issue:2606", + "right": "issue:5897", + "accept": false, + "reason": "DeepSpeed save_state hang vs training device-mismatch error; different code paths." + }, + { + "left": "issue:5034", + "right": "issue:6351", + "accept": false, + "reason": "Checkpoint progress-bar glitch vs DDP disable_adapters attribute error; unrelated." + }, + { + "left": "issue:4399", + "right": "issue:5934", + "accept": false, + "reason": "Both mention torch.compile, but one is specifically compile + CPU offload and the other is a broader compile error; not clearly mergeable as one fix." + }, + { + "left": "issue:10025", + "right": "issue:9516", + "accept": false, + "reason": "Attention-mask issue in Flux transformer vs joint_attention_kwargs not forwarded in Flux; related subsystem, but different bug." + }, + { + "left": "issue:10712", + "right": "issue:11050", + "accept": false, + "reason": "Inference RuntimeError with prompt_embeds vs training-script dtype casting bug; different concrete issues." + }, + { + "left": "issue:10954", + "right": "issue:11724", + "accept": false, + "reason": "Flux LoRA loading problem vs Chroma attention masking failure; unrelated models and failures." + }, + { + "left": "issue:11137", + "right": "issue:13300", + "accept": false, + "reason": "Latte dtype mismatch vs CPU generation failures for SD3.5/FLUX; broad dtype theme only, not the same bug." + }, + { + "left": "issue:11222", + "right": "issue:11779", + "accept": false, + "reason": "WAN LoRA support request vs Wan VACE mask-padding bug; feature request and bug fix are different." + }, + { + "left": "issue:12195", + "right": "issue:9248", + "accept": false, + "reason": "PyTorch 2.3.1 custom_op compatibility issue vs a generic install-upgrade request; not duplicates." + }, + { + "left": "issue:6866", + "right": "issue:9958", + "accept": false, + "reason": "IP-Adapter support request vs tiling support request; different feature additions." + }, + { + "left": "issue:2838", + "right": "issue:4005", + "accept": false, + "reason": "ControlNet pipeline behavior request vs inpaint aspect-ratio bug; unrelated." + }, + { + "left": "issue:2844", + "right": "issue:5009", + "accept": false, + "reason": "StableUnCLIP image-embedding runtime error vs Wuerstchen error; no shared bug." + }, + { + "left": "issue:3679", + "right": "issue:4779", + "accept": false, + "reason": "Two different model/pipeline support requests for video; not the same change." + }, + { + "left": "issue:10057", + "right": "issue:7982", + "accept": false, + "reason": "Flux single-file token loading vs from_pipe with MultiControlNetModel; different pipeline/component issues." + }, + { + "left": "issue:4542", + "right": "issue:6593", + "accept": false, + "reason": "Img2Img multi-image limitation vs LoRA-loading support request; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 230, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10227", + "issue:10231", + "issue:10382", + "issue:10492", + "issue:10514", + "issue:10705", + "issue:10952", + "issue:11570", + "issue:1261", + "issue:12610", + "issue:1314", + "issue:13191", + "issue:13232", + "issue:1536", + "issue:172", + "issue:177", + "issue:181", + "issue:2712", + "issue:3284", + "issue:3799", + "issue:4672", + "issue:5168", + "issue:5284", + "issue:5325", + "issue:5399", + "issue:5630", + "issue:5645", + "issue:5857", + "issue:5881", + "issue:5963", + "issue:6068", + "issue:6096", + "issue:6141", + "issue:6444", + "issue:6548", + "issue:6657", + "issue:6809", + "issue:6870", + "issue:7629", + "issue:7877", + "issue:8410", + "issue:8429", + "issue:8801", + "issue:8834", + "issue:8975", + "issue:9648", + "issue:9904", + "issue:9972" + ], + "soft_pairs": [ + "issue:4672|issue:8834", + "issue:6870|issue:9648", + "issue:5399|issue:8429", + "issue:10492|issue:6809", + "issue:5168|issue:8410", + "issue:5284|issue:8801", + "issue:6141|issue:7877", + "issue:5963|issue:9972", + "issue:10952|issue:11570", + "issue:172|issue:177", + "issue:13191|issue:13232", + "issue:3799|issue:5325", + "issue:5857|issue:5881", + "issue:6096|issue:7629", + "issue:10227|issue:10514", + "issue:181|issue:3284", + "issue:2712|issue:6444", + "issue:10705|issue:9904", + "issue:1536|issue:5645", + "issue:6548|issue:6657", + "issue:1261|issue:1314", + "issue:10231|issue:8975", + "issue:10382|issue:12610", + "issue:5630|issue:6068" + ], + "prepared_review_unit_hash": "df40feb53bc3635f7630a21c909eb8e64798d62e2b091dbe51466b70b5436d20", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34149, + "estimated_input_tokens": 8538, + "estimated_eval_tokens": 17332 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft links are mostly superficial keyword overlaps rather than true duplicates. The cluster is heterogeneous, with several unrelated bug reports and support requests; no PRs are present.", + "confidence": 0.74, + "canonical_issue_reason": "issue:6809 is the strongest representative of the LoRA-related subset: it describes a concrete regression in adapter loading with a clear failure mode and likely actionable code path.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6809 is the best issue to keep as the anchor because it is specific, technically grounded, and broader than the neighboring LoRA-adjacent reports without being a support question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4672", + "right": "issue:8834", + "accept": false, + "reason": "Both mention model support, but one is a VRAM/training problem and the other asks for SD3 ControlNet training code; different underlying requests." + }, + { + "left": "issue:6870", + "right": "issue:9648", + "accept": false, + "reason": "Same VAE tiling keyword, but one is about a missing pipeline option and the other about memory overflow when enabled; not the same bug." + }, + { + "left": "issue:5399", + "right": "issue:8429", + "accept": false, + "reason": "Both involve inference failures, but they are for different pipelines and different dtype/runtime behaviors." + }, + { + "left": "issue:10492", + "right": "issue:6809", + "accept": false, + "reason": "Both touch LoRA/quantization, but one is a torchao quantize+fuse error and the other is a PEFT adapter-loading regression; different failure paths." + }, + { + "left": "issue:5168", + "right": "issue:8410", + "accept": false, + "reason": "These are different feature requests: one is ControlNet-XS support, the other is native TextDiffuser pipeline support." + }, + { + "left": "issue:5284", + "right": "issue:8801", + "accept": false, + "reason": "Both are model/support requests, but they target different models and different integration work." + }, + { + "left": "issue:6141", + "right": "issue:7877", + "accept": false, + "reason": "One requests ControlNet parameter support and the other adds an Attention block out_dim argument; related area, but not the same change." + }, + { + "left": "issue:5963", + "right": "issue:9972", + "accept": false, + "reason": "Kandinsky 3.0 embed handling and CogX buffer allocation are unrelated bugs." + }, + { + "left": "issue:10952", + "right": "issue:11570", + "accept": false, + "reason": "Both involve LoRA loading, but one is an adapter-name mismatch and the other is a .to() cast failure on quantized text encoders; different code-path problems." + }, + { + "left": "issue:172", + "right": "issue:177", + "accept": false, + "reason": "One is about hiding the progress bar, the other is documentation for a from_pretrained argument." + }, + { + "left": "issue:13191", + "right": "issue:13232", + "accept": false, + "reason": "Both are future support requests, but for different models (Elastic-DiT vs LTX-2.3)." + }, + { + "left": "issue:3799", + "right": "issue:5325", + "accept": false, + "reason": "Type inference for a scheduler and packaging type information distribution are unrelated." + }, + { + "left": "issue:5857", + "right": "issue:5881", + "accept": false, + "reason": "Both mention AnimateDiff/LCM, but one is a specific LoRA compatibility issue and the other is a general quality comparison." + }, + { + "left": "issue:6096", + "right": "issue:7629", + "accept": false, + "reason": "SVD torch.compile dynamic shape failure and SVD OOM on PyTorch 1.13.1 are different runtime issues." + }, + { + "left": "issue:10227", + "right": "issue:10514", + "accept": false, + "reason": "LoRA feature-size limitation and Sana sample_size/resolution binning are unrelated model-configuration issues." + }, + { + "left": "issue:181", + "right": "issue:3284", + "accept": false, + "reason": "Image-writing failure in a training script is unrelated to the accelerate failure in DreamBooth LoRA training." + }, + { + "left": "issue:2712", + "right": "issue:6444", + "accept": false, + "reason": "A missing config key warning and a CLIPTextModel peft_config AttributeError are different bugs." + }, + { + "left": "issue:10705", + "right": "issue:9904", + "accept": false, + "reason": "Pipeline reuse slowing inference and silent image-shape rounding are unrelated Flux issues." + }, + { + "left": "issue:1536", + "right": "issue:5645", + "accept": false, + "reason": "Both concern custom/new pipeline behavior, but one is a custom pipeline compatibility break and the other is broken LCM support in core." + }, + { + "left": "issue:6548", + "right": "issue:6657", + "accept": false, + "reason": "RGBA img2img latent handling and swapped frames/channels in UNet3DConditionModel are different data-shape bugs." + }, + { + "left": "issue:1261", + "right": "issue:1314", + "accept": false, + "reason": "Both are xformers backward-pass failures, but one is a CUDA stride assert and the other is a Windows-specific backward error; not clearly the same bug." + }, + { + "left": "issue:10231", + "right": "issue:8975", + "accept": false, + "reason": "Ubuntu tutorial ImportError and missing LoraLoaderMixin import are different import/runtime problems." + }, + { + "left": "issue:10382", + "right": "issue:12610", + "accept": false, + "reason": "A VAE forward return-type mismatch and Quanto+Group Offload device mismatch are unrelated." + }, + { + "left": "issue:5630", + "right": "issue:6068", + "accept": false, + "reason": "Both affect SDXL sampling quality, but one is an LMS scheduler artifact and the other is a DDIM correctness bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 231, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10139", + "issue:10489", + "issue:10722", + "issue:10952", + "issue:11275", + "issue:11536", + "issue:11644", + "issue:12110", + "issue:1314", + "issue:1657", + "issue:170", + "issue:1742", + "issue:1909", + "issue:1925", + "issue:201", + "issue:2518", + "issue:3624", + "issue:3643", + "issue:3915", + "issue:3975", + "issue:4002", + "issue:4042", + "issue:4405", + "issue:444", + "issue:4578", + "issue:4913", + "issue:4954", + "issue:5171", + "issue:5485", + "issue:5598", + "issue:5607", + "issue:5678", + "issue:5846", + "issue:5866", + "issue:5989", + "issue:6460", + "issue:6809", + "issue:7012", + "issue:7591", + "issue:7606", + "issue:8612", + "issue:8708", + "issue:8874", + "issue:9138", + "issue:929", + "issue:9477", + "issue:9895" + ], + "soft_pairs": [ + "issue:1314|issue:5678", + "issue:170|issue:444", + "issue:201|issue:929", + "issue:2518|issue:4002", + "issue:4913|issue:5866", + "issue:5598|issue:5989", + "issue:5846|issue:7012", + "issue:1742|issue:1909", + "issue:4042|issue:6460", + "issue:10952|issue:6809", + "issue:5485|issue:8612", + "issue:10722|issue:7606", + "issue:1925|issue:3915", + "issue:3975|issue:7591", + "issue:3643|issue:5607", + "issue:4954|issue:8874", + "issue:11275|issue:9138", + "issue:1657|issue:4405", + "issue:4578|issue:8708", + "issue:5989|issue:9477", + "issue:10139|issue:11644", + "issue:11536|issue:9895", + "issue:10489|issue:12110", + "issue:3624|issue:5171" + ], + "prepared_review_unit_hash": "4f2dcbc0394e6951d0d46846d30bdb4c474dc6d1d7ac4274d1925c2a106fec36", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33487, + "estimated_input_tokens": 8372, + "estimated_eval_tokens": 17000 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is a loose grab bag of diffusers bug reports, mostly about pipeline initialization/loading/runtime edge cases. None of the suggested soft pairs look like true duplicates; they share broad subsystem words but not the same concrete failure mode.", + "confidence": 0.71, + "canonical_issue_reason": "#10139 is the broadest and most representative issue in the set: a generic pipeline-init bug around UNet sample_size handling, which best matches the cluster\u2019s overall init/loading theme.", + "canonical_pr_reason": null, + "best_issue_reason": "#10139 is the best single issue representative because it is general, well-scoped, and closer to the common theme than the highly specific loading/runtime reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1314", + "right": "issue:5678", + "accept": false, + "reason": "Both involve attention/autograd, but one is a Windows xformers backward error and the other is a higher-order-derivative issue in scaled_dot_product_attention; different code paths and symptoms." + }, + { + "left": "issue:170", + "right": "issue:444", + "accept": false, + "reason": "Scheduler-related errors, but one is an unexpected eta kwarg crash and the other is an indexing bug with certain num_inference_steps values; not the same defect." + }, + { + "left": "issue:201", + "right": "issue:929", + "accept": false, + "reason": "A test request for attention classes is unrelated to a question about duplicated sqrt math in attention blocks." + }, + { + "left": "issue:2518", + "right": "issue:4002", + "accept": false, + "reason": "One is about adding xformers support to a training example; the other is a missing from_single_file implementation for an inpaint pipeline." + }, + { + "left": "issue:4913", + "right": "issue:5866", + "accept": false, + "reason": "Both mention ControlNet, but one is a specific model/package issue and the other is AnimateDiff + ControlNet integration; too broad and different to merge." + }, + { + "left": "issue:5598", + "right": "issue:5989", + "accept": false, + "reason": "A bug in _modify_text_encoder is unrelated to a safetensors.torch bug." + }, + { + "left": "issue:5846", + "right": "issue:7012", + "accept": false, + "reason": "Checkpoint resume failure in an SDXL LoRA script is unrelated to odd images from v_prediction training." + }, + { + "left": "issue:1742", + "right": "issue:1909", + "accept": false, + "reason": "Both involve list inputs, but one is about inconsistent inference speed for repeated prompts and the other is a generator API mismatch between pipelines and schedulers." + }, + { + "left": "issue:4042", + "right": "issue:6460", + "accept": false, + "reason": "A usage question about combining reference-only with inpainting/depth control is not the same as an endless-loading bug when loading a specific inpainting model." + }, + { + "left": "issue:10952", + "right": "issue:6809", + "accept": false, + "reason": "Both concern LoRA loading, but one is an adapter-name mismatch in a specific pipeline and the other is PEFT-based loading incompatibility; different underlying causes." + }, + { + "left": "issue:5485", + "right": "issue:8612", + "accept": false, + "reason": "ControlNet batch slowdown and PixArt mixed-precision incompatibility are unrelated performance vs precision issues." + }, + { + "left": "issue:10722", + "right": "issue:7606", + "accept": false, + "reason": "A tensor-size mismatch during DreamBooth prior preservation is unrelated to a deprecated LoRA processor in Kandinsky 2.2." + }, + { + "left": "issue:1925", + "right": "issue:3915", + "accept": false, + "reason": "Half-precision inpainting failure and torch.compile not working for text-to-video are different pipeline/runtime problems." + }, + { + "left": "issue:3975", + "right": "issue:7591", + "accept": false, + "reason": "A typo in an error message is not the same as a local_files_only from_single_file header parsing failure." + }, + { + "left": "issue:3643", + "right": "issue:5607", + "accept": false, + "reason": "Different runtime tensor-shape/size failures in different parts of the stack; not the same bug." + }, + { + "left": "issue:4954", + "right": "issue:8874", + "accept": false, + "reason": "Both involve loading/unpickling, but one is textual inversion embedding loading and the other is CKPT model loading with weights-only failure; not the same concrete issue." + }, + { + "left": "issue:11275", + "right": "issue:9138", + "accept": false, + "reason": "The similar TypeError text is generic, but the affected code paths and reported contexts differ." + }, + { + "left": "issue:1657", + "right": "issue:4405", + "accept": false, + "reason": "A request for a Kaggle notebook is unrelated to creating an SDXL textual inversion training script." + }, + { + "left": "issue:4578", + "right": "issue:8708", + "accept": false, + "reason": "Both mention VAE/docs, but one is a documentation omission and the other is a missing config field in SD3 dreambooth examples; not duplicates." + }, + { + "left": "issue:5989", + "right": "issue:9477", + "accept": false, + "reason": "A safetensors bug and a GatheredParameters callable error are unrelated." + }, + { + "left": "issue:10139", + "right": "issue:11644", + "accept": false, + "reason": "Both are initialization-related, but one is about UNet sample_size handling in pipeline init and the other is an init-from-pretrained error for a specific LTX pipeline; different root causes." + }, + { + "left": "issue:11536", + "right": "issue:9895", + "accept": false, + "reason": "Prompt adherence regression in FluxPipeline and a device-placement error in FluxPipeline are distinct failures." + }, + { + "left": "issue:10489", + "right": "issue:12110", + "accept": false, + "reason": "A SanaPipeline example bug is unrelated to a UNet1DModel GaussianFourier time projection initialization issue." + }, + { + "left": "issue:3624", + "right": "issue:5171", + "accept": false, + "reason": "A getattr type error and an unexpected safety_checker argument error are unrelated API failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 232, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10239", + "issue:10314", + "issue:10446", + "issue:10450", + "issue:1100", + "issue:11721", + "issue:11973", + "issue:1363", + "issue:1524", + "issue:1922", + "issue:2310", + "issue:2332", + "issue:2466", + "issue:2712", + "issue:2783", + "issue:2830", + "issue:3029", + "issue:3109", + "issue:3591", + "issue:3661", + "issue:4125", + "issue:490", + "issue:5109", + "issue:5344", + "issue:5670", + "issue:579", + "issue:5927", + "issue:6363", + "issue:6565", + "issue:6812", + "issue:7276", + "issue:7303", + "issue:746", + "issue:7466", + "issue:7538", + "issue:7735", + "issue:8482", + "issue:8577", + "issue:8874", + "issue:9112", + "issue:9163", + "issue:9227", + "issue:9358", + "issue:9516", + "issue:953", + "issue:9637", + "issue:9778", + "issue:9876" + ], + "soft_pairs": [ + "issue:10239|issue:10314", + "issue:11721|issue:8874", + "issue:5670|issue:9112", + "issue:2310|issue:5927", + "issue:2332|issue:2830", + "issue:3029|issue:3591", + "issue:3109|issue:953", + "issue:3661|issue:5344", + "issue:1100|issue:5109", + "issue:1524|issue:2466", + "issue:2712|issue:579", + "issue:4125|issue:6565", + "issue:7538|issue:7735", + "issue:10446|issue:7466", + "issue:10450|issue:9516", + "issue:11973|issue:9163", + "issue:1922|issue:490", + "issue:2783|issue:7303", + "issue:7276|issue:9778", + "issue:8482|issue:8577", + "issue:9637|issue:9876", + "issue:9227|issue:9358", + "issue:6363|issue:6812", + "issue:1363|issue:746" + ], + "prepared_review_unit_hash": "0ef9958f1952ffdbbba0a528d149dc8e7ef153c12b8f1304426ba7c374091529", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34067, + "estimated_input_tokens": 8517, + "estimated_eval_tokens": 17290 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very noisy: the items are mostly unrelated GitHub issues that only share broad model/pipeline or training-script vocabulary. I would not merge any of the proposed soft edges.", + "confidence": 0.86, + "canonical_issue_reason": "No single issue cleanly represents the whole set because the cluster spans many unrelated bugs; if an anchor is needed, issue:9227 is the best candidate because it is an open, concrete repro with substantial discussion around a specific FLUX training failure.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9227 is the strongest standalone issue here: it is specific, open, and describes a concrete runtime problem on a named script/model rather than a vague request or a loosely related report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10239", + "right": "issue:10314", + "accept": false, + "reason": "Same pipeline family, but one is about CPU offload support and the other is NaN outputs; different bugs and different fixes." + }, + { + "left": "issue:11721", + "right": "issue:8874", + "accept": false, + "reason": "Both are load failures, but for different models and failure modes: SanaPipeline crash vs CKPT unpickling failure." + }, + { + "left": "issue:5670", + "right": "issue:9112", + "accept": false, + "reason": "Different pipelines and different concrete errors: non-square image support vs tensor shape mismatch in Auraflow." + }, + { + "left": "issue:2310", + "right": "issue:5927", + "accept": false, + "reason": "Unrelated inpainting-related topics; one is LDM inpainting cleanup, the other is IP-Adapter/reference inpaint composition." + }, + { + "left": "issue:2332", + "right": "issue:2830", + "accept": false, + "reason": "Dreambooth inference error and a question about video generation with ModelScope are not the same bug." + }, + { + "left": "issue:3029", + "right": "issue:3591", + "accept": false, + "reason": "One asks about custom ControlNet resolution, the other about loss-curve interpretation; not the same issue." + }, + { + "left": "issue:3109", + "right": "issue:953", + "accept": false, + "reason": "Both mention smaller images, but one is a feature request and the other is a general guidance question; not the same concrete bug or change." + }, + { + "left": "issue:3661", + "right": "issue:5344", + "accept": false, + "reason": "Different root causes: SD2 from_ckpt conversion failure vs missing omegaconf dependency." + }, + { + "left": "issue:1100", + "right": "issue:5109", + "accept": false, + "reason": "Different failures in different code paths: CLIPTextTransformer device attribute issue vs LoRA loading exception in a ControlNet img2img pipeline." + }, + { + "left": "issue:1524", + "right": "issue:2466", + "accept": false, + "reason": "Training quality complaint vs checkpoint retention not limiting; unrelated behaviors." + }, + { + "left": "issue:2712", + "right": "issue:579", + "accept": false, + "reason": "Missing config field warning and missing config.json are different configuration problems." + }, + { + "left": "issue:4125", + "right": "issue:6565", + "accept": false, + "reason": "Both concern training dynamics, but one asks whether a loss curve is expected and the other reports DPO training instability; not duplicate enough." + }, + { + "left": "issue:7538", + "right": "issue:7735", + "accept": false, + "reason": "Different dataset/training problems: custom fill50k style dataset issue vs missing caption_column value." + }, + { + "left": "issue:10446", + "right": "issue:7466", + "accept": false, + "reason": "Different model and code paths: FluxControlNet multi-GPU sharding vs SDXL inpaint torch.compile failure with multi-ControlNet." + }, + { + "left": "issue:10450", + "right": "issue:9516", + "accept": false, + "reason": "Different FLUX transformer concerns: implementation mismatch vs joint_attention_kwargs not being forwarded." + }, + { + "left": "issue:11973", + "right": "issue:9163", + "accept": false, + "reason": "A missing required CLI argument is not the same as general tensor bugs in the FLUX DreamBooth LoRA script." + }, + { + "left": "issue:1922", + "right": "issue:490", + "accept": false, + "reason": "Undefined helper in a notebook and GPU memory behavior are unrelated issues." + }, + { + "left": "issue:2783", + "right": "issue:7303", + "accept": false, + "reason": "ControlNet pipeline creation request and scheduler zero-SNR support are different feature topics." + }, + { + "left": "issue:7276", + "right": "issue:9778", + "accept": false, + "reason": "Dreambooth network errors during example runs and a tutorial bug are not the same underlying problem." + }, + { + "left": "issue:8482", + "right": "issue:8577", + "accept": false, + "reason": "SD3 model support request versus differential diffusion support on SD3; related area, but not the same change." + }, + { + "left": "issue:9637", + "right": "issue:9876", + "accept": false, + "reason": "XFormers attention-mask dtype/shape bug and VRAM release after LoRA training are unrelated." + }, + { + "left": "issue:9227", + "right": "issue:9358", + "accept": false, + "reason": "Both touch train_dreambooth_lora_flux.py, but one is a runtime failure with FLUX.1-dev and the other is redundant text-encoder reinitialization; different code-path problems." + }, + { + "left": "issue:6363", + "right": "issue:6812", + "accept": false, + "reason": "FP16 gradient unscale error and Q/K/V dtype mismatch are distinct training failures." + }, + { + "left": "issue:1363", + "right": "issue:746", + "accept": false, + "reason": "ONNX long-prompt/LMS scheduler error and an ONNX model-load revision issue are different problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 233, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10569", + "issue:10800", + "issue:10896", + "issue:1099", + "issue:11033", + "issue:11486", + "issue:11824", + "issue:12501", + "issue:1260", + "issue:1290", + "issue:13001", + "issue:13298", + "issue:1546", + "issue:1604", + "issue:1857", + "issue:259", + "issue:3086", + "issue:3089", + "issue:3279", + "issue:3427", + "issue:3551", + "issue:3612", + "issue:4804", + "issue:4830", + "issue:5402", + "issue:541", + "issue:5570", + "issue:5605", + "issue:5712", + "issue:6055", + "issue:6073", + "issue:6141", + "issue:6446", + "issue:6520", + "issue:6530", + "issue:7441", + "issue:7460", + "issue:7675", + "issue:7751", + "issue:8551", + "issue:8828", + "issue:8939", + "issue:9309", + "issue:9320", + "issue:9397", + "issue:9630", + "issue:9825" + ], + "soft_pairs": [ + "issue:1546|issue:6055", + "issue:5605|issue:7675", + "issue:11033|issue:13001", + "issue:6520|issue:9630", + "issue:12501|issue:13298", + "issue:4804|issue:4830", + "issue:3279|issue:7751", + "issue:5402|issue:6073", + "issue:10896|issue:9825", + "issue:11824|issue:9309", + "issue:1290|issue:3086", + "issue:3089|issue:7460", + "issue:3427|issue:6530", + "issue:3612|issue:541", + "issue:5570|issue:6520", + "issue:5712|issue:7441", + "issue:6141|issue:9397", + "issue:1604|issue:3551", + "issue:6446|issue:9320", + "issue:8551|issue:8939", + "issue:1857|issue:259", + "issue:1099|issue:1260", + "issue:11486|issue:8828", + "issue:10569|issue:10800" + ], + "prepared_review_unit_hash": "0967073cefe9072266a4408b94b0dbcc1b503988f633e7e55199be2623a3c5db", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33392, + "estimated_input_tokens": 8348, + "estimated_eval_tokens": 16952 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft pairs are all superficial title-level matches; the items span unrelated bugs, feature requests, and model-specific issues, so none should be merged as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue is a clean canonical for this cluster; the issues are heterogeneous and mostly only share broad keywords.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10569 is the broadest user-facing bug here, but it is still not representative enough to serve as a strong cluster canonical.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1546", + "right": "issue:6055", + "accept": false, + "reason": "Different problems: StableDiffusionPipeline truncation/batched-input handling vs an accelerate-related error." + }, + { + "left": "issue:5605", + "right": "issue:7675", + "accept": false, + "reason": "Unrelated feature requests: SDXL dreambooth caption support vs MLX quantized linear support on Apple." + }, + { + "left": "issue:11033", + "right": "issue:13001", + "accept": false, + "reason": "Different models and failure modes: SD1.5 from_single_file loading vs Flux2.Klein GGUF shape mismatch." + }, + { + "left": "issue:6520", + "right": "issue:9630", + "accept": false, + "reason": "Different code paths: blank validation output in adapter training vs flux-controlnet single-GPU configuration error." + }, + { + "left": "issue:12501", + "right": "issue:13298", + "accept": false, + "reason": "Different runtime bugs: VAE decoder graph break vs generator device/cuda behavior when generating images." + }, + { + "left": "issue:4804", + "right": "issue:4830", + "accept": false, + "reason": "Different subsystems: LoRA loader dict mutation error vs MultiControlNet tensor \u0906\u0915\u093e\u0930 mismatch." + }, + { + "left": "issue:3279", + "right": "issue:7751", + "accept": false, + "reason": "Different workflows: checkpoint resume failure in DreamBooth LoRA training vs AnimateDiff conversion errors." + }, + { + "left": "issue:5402", + "right": "issue:6073", + "accept": false, + "reason": "Package import error for compute_snr is not the same as a beginner DreamBooth SDXL training issue." + }, + { + "left": "issue:10896", + "right": "issue:9825", + "accept": false, + "reason": "Different feature requests for different pipelines/models: SkyReels-A1 support vs FLUX IPAdapter support." + }, + { + "left": "issue:11824", + "right": "issue:9309", + "accept": false, + "reason": "Different Flux pipeline bugs: multi-image FluxKontext input vs FluxControlNetPipeline on schnell." + }, + { + "left": "issue:1290", + "right": "issue:3086", + "accept": false, + "reason": "Unrelated ideas: DreamArtist community project vs an audio-input/image-output request." + }, + { + "left": "issue:3089", + "right": "issue:7460", + "accept": false, + "reason": "Different modules: DDPM scheduler bug vs AdaLayerNorm bug." + }, + { + "left": "issue:3427", + "right": "issue:6530", + "accept": false, + "reason": "Different tasks entirely: a Make-A-Video JAX item vs SDXL K-diffusion ControlNet support." + }, + { + "left": "issue:3612", + "right": "issue:541", + "accept": false, + "reason": "Feature request for ControlNet/reference_adain+attn is unrelated to the SageMaker deployment issue." + }, + { + "left": "issue:5570", + "right": "issue:6520", + "accept": false, + "reason": "Missing compute_snr packaging issue is not the same as blank validation results during adapter training." + }, + { + "left": "issue:5712", + "right": "issue:7441", + "accept": false, + "reason": "Both mention Python 3.12, but one is pip install on Windows and the other is pytest test execution; different failures." + }, + { + "left": "issue:6141", + "right": "issue:9397", + "accept": false, + "reason": "Different feature requests: ControlNet control_mode/resize_mode vs SGMUniform scheduler support for Hyper loras." + }, + { + "left": "issue:1604", + "right": "issue:3551", + "accept": false, + "reason": "Different bugs: lpw_stable_diffusion.py breakage on diffusers 0.9.0 vs LoRA disabling xFormers." + }, + { + "left": "issue:6446", + "right": "issue:9320", + "accept": false, + "reason": "Different load/save issues: minimal-loading SD 2-1 on Colab vs finetuned model persistence in custom diffusion." + }, + { + "left": "issue:8551", + "right": "issue:8939", + "accept": false, + "reason": "Different model/pipeline failures: SDXL inpaint device_map transfer bug vs tokenizer loading error for SD3 medium." + }, + { + "left": "issue:1857", + "right": "issue:259", + "accept": false, + "reason": "Poor test coverage vs progress bar behavior are unrelated maintenance issues." + }, + { + "left": "issue:1099", + "right": "issue:1260", + "accept": false, + "reason": "Dreambooth class-name issue is unrelated to the missing DPMSolverMultistepScheduler import." + }, + { + "left": "issue:11486", + "right": "issue:8828", + "accept": false, + "reason": "Training-script xformers support request is not the same as an SD3 16GB training error." + }, + { + "left": "issue:10569", + "right": "issue:10800", + "accept": false, + "reason": "Both involve HunyuanVideo on CPU, but one is general memory consumption and the other is a specific BnB int4/offload quantization type error." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 234, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10016", + "issue:10045", + "issue:10952", + "issue:11199", + "issue:1161", + "issue:11700", + "issue:1181", + "issue:1207", + "issue:12624", + "issue:2132", + "issue:2646", + "issue:3010", + "issue:3338", + "issue:3401", + "issue:3412", + "issue:4229", + "issue:4376", + "issue:4438", + "issue:444", + "issue:4445", + "issue:4534", + "issue:4605", + "issue:4615", + "issue:4907", + "issue:4933", + "issue:5118", + "issue:5371", + "issue:5743", + "issue:5799", + "issue:6093", + "issue:6442", + "issue:6445", + "issue:6530", + "issue:7389", + "issue:761", + "issue:7722", + "issue:7770", + "issue:782", + "issue:7856", + "issue:8234", + "issue:8801", + "issue:9027", + "issue:9403", + "issue:9495", + "issue:9602", + "issue:9660", + "issue:9825" + ], + "soft_pairs": [ + "issue:2646|issue:444", + "issue:4376|issue:4438", + "issue:3401|issue:5743", + "issue:9602|issue:9660", + "issue:10045|issue:11199", + "issue:1207|issue:2132", + "issue:3010|issue:3412", + "issue:5118|issue:6530", + "issue:5371|issue:9403", + "issue:6093|issue:9027", + "issue:7722|issue:8234", + "issue:8801|issue:9825", + "issue:8234|issue:9495", + "issue:4907|issue:5799", + "issue:4229|issue:4534", + "issue:2646|issue:761", + "issue:11700|issue:12624", + "issue:4933|issue:782", + "issue:6442|issue:6445", + "issue:10952|issue:7856", + "issue:4605|issue:7389", + "issue:1161|issue:4445", + "issue:1181|issue:4445", + "issue:3338|issue:4615", + "issue:10016|issue:7770" + ], + "prepared_review_unit_hash": "5950db1f73c228cd41d4af36927393dc41c9b0064a444e55f1950cf86c33ec1f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33443, + "estimated_input_tokens": 8361, + "estimated_eval_tokens": 16978 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All soft pairs are false positives. The items span unrelated bugs, feature requests, docs issues, and pipeline-specific errors, so there is no credible duplicate cluster or shared canonical item.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue fits: the set is heterogeneous and the soft pairs only share broad keywords, not the same underlying bug or change.", + "canonical_pr_reason": null, + "best_issue_reason": "No best issue candidate: none of these artifacts can represent the cluster as a whole because they concern different code paths and requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2646", + "right": "issue:444", + "accept": false, + "reason": "Both mention IndexError, but one is tiled VAE and the other is num_inference_steps; different failure paths." + }, + { + "left": "issue:4376", + "right": "issue:4438", + "accept": false, + "reason": "Both are SDXL errors, but one is load_textual_inversion crash and the other is a separate pipeline error with no shared concrete bug." + }, + { + "left": "issue:3401", + "right": "issue:5743", + "accept": false, + "reason": "One is a validation check for num_class_embeds, the other is latent consistency training stuck at 0%; unrelated." + }, + { + "left": "issue:9602", + "right": "issue:9660", + "accept": false, + "reason": "Adapter-name lookup failure vs from_pretrained eval-mode behavior; different subsystems and fixes." + }, + { + "left": "issue:10045", + "right": "issue:11199", + "accept": false, + "reason": "Both are import problems, but one is importing pipelines generally and the other is a specific onnx_utils import failure." + }, + { + "left": "issue:1207", + "right": "issue:2132", + "accept": false, + "reason": "CUDA symbol/installation issue is unrelated to Accelerator.trackers attribute error in a training script." + }, + { + "left": "issue:3010", + "right": "issue:3412", + "accept": false, + "reason": "Both are docs-related, but they target different documentation pages and topics." + }, + { + "left": "issue:5118", + "right": "issue:6530", + "accept": false, + "reason": "ControlNet reference_only usage question is not the same as SDXL K-diffusion with ControlNet support." + }, + { + "left": "issue:5371", + "right": "issue:9403", + "accept": false, + "reason": "BLIP inpainting support and Xlabs IPAdapter support are distinct feature requests." + }, + { + "left": "issue:6093", + "right": "issue:9027", + "accept": false, + "reason": "push_to_hub behavior in a training script is unrelated to argument-name consistency." + }, + { + "left": "issue:7722", + "right": "issue:8234", + "accept": false, + "reason": "Animatediff+IPAdapter error vs ip_adapter_scale dict TypeError; different concrete bugs." + }, + { + "left": "issue:8801", + "right": "issue:9825", + "accept": false, + "reason": "Support for Kolors and support for IPAdapters in FLUX are separate model-family requests." + }, + { + "left": "issue:8234", + "right": "issue:9495", + "accept": false, + "reason": "Dict scaling TypeError is not the same as SDXL PAG with IPAdapter not working." + }, + { + "left": "issue:4907", + "right": "issue:5799", + "accept": false, + "reason": "New inpainting warning and adding strength kwarg are different inpainting-related issues." + }, + { + "left": "issue:4229", + "right": "issue:4534", + "accept": false, + "reason": "Multi-GPU Accelerate training error and MPS validation crash are different environments and failure modes." + }, + { + "left": "issue:2646", + "right": "issue:761", + "accept": false, + "reason": "Tiled VAE IndexError is unrelated to DreamBooth 8bit Adam optimizer failure." + }, + { + "left": "issue:11700", + "right": "issue:12624", + "accept": false, + "reason": "Pruna integration for loading models and adding strength to wanimagetovideopipeline are unrelated feature requests." + }, + { + "left": "issue:4933", + "right": "issue:782", + "accept": false, + "reason": "Dreambooth output artifact issue is unrelated to model download/auth-token behavior." + }, + { + "left": "issue:6442", + "right": "issue:6445", + "accept": false, + "reason": "FP16 unscale error during training is unrelated to caption_column value validation." + }, + { + "left": "issue:10952", + "right": "issue:7856", + "accept": false, + "reason": "Adapter-name missing error and tokenizer token-collision error concern different mechanisms." + }, + { + "left": "issue:4605", + "right": "issue:7389", + "accept": false, + "reason": "Long-prompt-weighting inpaint error is not the same bug as SDXL from_single_file loading failure." + }, + { + "left": "issue:1161", + "right": "issue:4445", + "accept": false, + "reason": "Converting Flax to PyTorch and finetuning LoRA are different user goals and code paths." + }, + { + "left": "issue:1181", + "right": "issue:4445", + "accept": false, + "reason": "Training from scratch is distinct from LoRA finetuning guidance." + }, + { + "left": "issue:3338", + "right": "issue:4615", + "accept": false, + "reason": "Slow import performance is not the same as an ImportError for a specific pipeline symbol." + }, + { + "left": "issue:10016", + "right": "issue:7770", + "accept": false, + "reason": "SD3.5M from_single_file shape mismatch and model+LoRA tensor mismatch are different loading issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 235, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10336", + "issue:10518", + "issue:10952", + "issue:11127", + "issue:11286", + "issue:11342", + "issue:11437", + "issue:11584", + "issue:11790", + "issue:12096", + "issue:13104", + "issue:13249", + "issue:1367", + "issue:1388", + "issue:1522", + "issue:1817", + "issue:1934", + "issue:1961", + "issue:1964", + "issue:2268", + "issue:2294", + "issue:2312", + "issue:2507", + "issue:2774", + "issue:2995", + "issue:3085", + "issue:3209", + "issue:3249", + "issue:3391", + "issue:4071", + "issue:4675", + "issue:4789", + "issue:4912", + "issue:4964", + "issue:5325", + "issue:557", + "issue:6705", + "issue:6823", + "issue:7450", + "issue:7572", + "issue:7706", + "issue:7799", + "issue:8534", + "issue:9003", + "issue:9393", + "issue:9546", + "issue:993" + ], + "soft_pairs": [ + "issue:2507|issue:557", + "issue:2995|issue:7572", + "issue:1388|issue:4675", + "issue:4912|issue:9003", + "issue:11584|issue:12096", + "issue:1934|issue:557", + "issue:11286|issue:11790", + "issue:11127|issue:13249", + "issue:1964|issue:4071", + "issue:3391|issue:4789", + "issue:6705|issue:9393", + "issue:7706|issue:7799", + "issue:2774|issue:4964", + "issue:5325|issue:993", + "issue:1367|issue:2312", + "issue:2294|issue:6823", + "issue:3209|issue:7450", + "issue:11437|issue:9546", + "issue:10336|issue:11342", + "issue:10518|issue:8534", + "issue:10952|issue:13104", + "issue:1522|issue:3249", + "issue:1817|issue:3085", + "issue:1961|issue:2268" + ], + "prepared_review_unit_hash": "3da538ce93062ee4102ee833d550291c56dc72e69325b2083e2fb814ee3b4eed", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32948, + "estimated_input_tokens": 8237, + "estimated_eval_tokens": 16730 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly noisy: many issues mention LoRA, training, offloading, or generic runtime errors, but they describe different code paths and failure modes. I found no strong duplicate pairs among the soft edges.", + "confidence": 0.95, + "canonical_issue_reason": "Issue 11286 is the broadest LoRA-loading failure and the closest thing to an umbrella among these items, but the surrounding issues are still too heterogeneous for a true canonical duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "11286 is the most suitable representative if one must choose an issue target, because its title is generic enough to cover nearby LoRA-loading complaints; however, it is not a good global duplicate hub for the whole cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2507", + "right": "issue:557", + "accept": false, + "reason": "One is about safetensors load speed, the other about DDIM output quality; same library area but not the same bug." + }, + { + "left": "issue:2995", + "right": "issue:7572", + "accept": false, + "reason": "Both are runtime shape/dtype errors, but they affect different layers and code paths with different root causes." + }, + { + "left": "issue:1388", + "right": "issue:4675", + "accept": false, + "reason": "Conversion-script adaptation for SD 2.0 is unrelated to ControlNet Reference Only for SDXL." + }, + { + "left": "issue:4912", + "right": "issue:9003", + "accept": false, + "reason": "Model conversion from CivitAI to diffusers is unrelated to choosing safety_checker strength." + }, + { + "left": "issue:11584", + "right": "issue:12096", + "accept": false, + "reason": "Both mention offloading, but one is a torch.compile incompatibility on hunyuanvideo_frampack and the other is apply_group_offloading on WanVACEPipeline; not the same concrete bug." + }, + { + "left": "issue:1934", + "right": "issue:557", + "accept": false, + "reason": "CPU offload memory usage and DDIM quality are entirely different problems." + }, + { + "left": "issue:11286", + "right": "issue:11790", + "accept": false, + "reason": "Both concern LoRA loading, but one is a generic load error and the other is a specific trained-LoRA weight loading issue; too little evidence they are the same bug." + }, + { + "left": "issue:11127", + "right": "issue:13249", + "accept": false, + "reason": "A CivitAI flux single-file compatibility issue is not the same as LoRA support breaking for Z-Image." + }, + { + "left": "issue:1964", + "right": "issue:4071", + "accept": false, + "reason": "PyTorch 2.0 support planning is unrelated to inpaint-only+lama support." + }, + { + "left": "issue:3391", + "right": "issue:4789", + "accept": false, + "reason": "DeepFloyd overexposure and download failure are different failure modes." + }, + { + "left": "issue:6705", + "right": "issue:9393", + "accept": false, + "reason": "Both involve saving training artifacts, but they are different frameworks/models and different save failures." + }, + { + "left": "issue:7706", + "right": "issue:7799", + "accept": false, + "reason": "Custom pipeline OOM and IP-Adapter matmul mismatch are unrelated runtime issues." + }, + { + "left": "issue:2774", + "right": "issue:4964", + "accept": false, + "reason": "Both are conversion-related, but one is ControlNet safetensors conversion and the other is SDXL model conversion; not the same bug." + }, + { + "left": "issue:5325", + "right": "issue:993", + "accept": false, + "reason": "Packaging type metadata distribution is unrelated to fp16 data-type mismatch." + }, + { + "left": "issue:1367", + "right": "issue:2312", + "accept": false, + "reason": "Scheduler config saving with trained_betas is unrelated to EMA hook save errors." + }, + { + "left": "issue:2294", + "right": "issue:6823", + "accept": false, + "reason": "Importing a missing pipeline class is unrelated to a controlnet usage problem." + }, + { + "left": "issue:3209", + "right": "issue:7450", + "accept": false, + "reason": "AutoencoderKL NaNs for large images and multi-thread issues are different defects." + }, + { + "left": "issue:11437", + "right": "issue:9546", + "accept": false, + "reason": "Missing training outputs/validation images and validation-step OOM are not the same underlying issue." + }, + { + "left": "issue:10336", + "right": "issue:11342", + "accept": false, + "reason": "Both are Sana-related, but one is activation clamping/explosion and the other is an MPS pipeline failure." + }, + { + "left": "issue:10518", + "right": "issue:8534", + "accept": false, + "reason": "These are different SD3 training-script problems; one is a vague script issue, the other is wrong logit-normal weighting." + }, + { + "left": "issue:10952", + "right": "issue:13104", + "accept": false, + "reason": "LoRA adapter-name mismatch and an undefined logger are unrelated errors." + }, + { + "left": "issue:1522", + "right": "issue:3249", + "accept": false, + "reason": "Unexpected keyword arguments in different modules are not the same bug." + }, + { + "left": "issue:1817", + "right": "issue:3085", + "accept": false, + "reason": "Unexpected keyword in get_scheduler and removed cache-folder argument are unrelated API issues." + }, + { + "left": "issue:1961", + "right": "issue:2268", + "accept": false, + "reason": "Both mention colossalai, but the reports are too generic and do not establish the same concrete failure." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 236, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10045", + "issue:1037", + "issue:10514", + "issue:10675", + "issue:10772", + "issue:10833", + "issue:10994", + "issue:1101", + "issue:11342", + "issue:13034", + "issue:2098", + "issue:2299", + "issue:2390", + "issue:2645", + "issue:2747", + "issue:3391", + "issue:3487", + "issue:3631", + "issue:3901", + "issue:4134", + "issue:4148", + "issue:4305", + "issue:4390", + "issue:4445", + "issue:4554", + "issue:4665", + "issue:5335", + "issue:5429", + "issue:5592", + "issue:5687", + "issue:5689", + "issue:5703", + "issue:6141", + "issue:6243", + "issue:6331", + "issue:6517", + "issue:6818", + "issue:725", + "issue:7312", + "issue:7375", + "issue:7836", + "issue:785", + "issue:8523", + "issue:8834", + "issue:8898", + "issue:9397", + "issue:9799", + "issue:9822" + ], + "soft_pairs": [ + "issue:2299|issue:5592", + "issue:2645|issue:4134", + "issue:2747|issue:7375", + "issue:4445|issue:725", + "issue:5429|issue:9397", + "issue:6141|issue:7312", + "issue:10514|issue:11342", + "issue:3901|issue:4390", + "issue:6818|issue:8523", + "issue:2098|issue:3631", + "issue:3391|issue:3487", + "issue:10045|issue:6517", + "issue:10994|issue:9799", + "issue:1037|issue:1101", + "issue:10675|issue:9822", + "issue:4554|issue:7836", + "issue:4665|issue:8898", + "issue:5335|issue:785", + "issue:5689|issue:5703", + "issue:10833|issue:13034", + "issue:4305|issue:5687", + "issue:10772|issue:8834", + "issue:2390|issue:6243", + "issue:4148|issue:6331" + ], + "prepared_review_unit_hash": "89165d6d3256d4754bf1ae30bfef1af5cec32e0de73fa8bf3f1919121cfb96c7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33667, + "estimated_input_tokens": 8417, + "estimated_eval_tokens": 17090 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: most items are unrelated feature requests or bug reports across different pipelines, schedulers, and training paths. No soft pair looks like a true duplicate; the only broadly overlapping ones are still too context-specific to merge.", + "confidence": 0.83, + "canonical_issue_reason": "issue:10045 is the broadest umbrella title in the set ('Problem with importing pipelines'), so it is the closest thing to a cluster anchor, though the cluster itself is not a clean duplicate group.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10045 is the most general and reusable issue title here; however, it is only a weak representative because the surrounding items span many different bugs/features.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2299", + "right": "issue:5592", + "accept": false, + "reason": "Both concern checkpoint loading, but they are for different models and failure modes; not the same bug." + }, + { + "left": "issue:2645", + "right": "issue:4134", + "accept": false, + "reason": "Both involve ControlNet on Apple/MPS, but one is a CUDA assertion and the other is a tensor-shape mismatch." + }, + { + "left": "issue:2747", + "right": "issue:7375", + "accept": false, + "reason": "Both are docs issues, but they target different documentation changes and are unrelated." + }, + { + "left": "issue:4445", + "right": "issue:725", + "accept": false, + "reason": "Finetuning help and memory-loading infrastructure are unrelated." + }, + { + "left": "issue:5429", + "right": "issue:9397", + "accept": false, + "reason": "These are different feature requests for different model/support paths; not the same change." + }, + { + "left": "issue:6141", + "right": "issue:7312", + "accept": false, + "reason": "ControlNet parameter support and direct reward finetuning are unrelated features." + }, + { + "left": "issue:10514", + "right": "issue:11342", + "accept": false, + "reason": "Both are Sana-related, but one is a resolution-binning/sample-size bug and the other is an MPS failure." + }, + { + "left": "issue:3901", + "right": "issue:4390", + "accept": false, + "reason": "Both mention missing requirements, but the contexts differ and there is no clear shared underlying bug." + }, + { + "left": "issue:6818", + "right": "issue:8523", + "accept": false, + "reason": "IP-Adapter unload/model reconstruction error and a playground CUDA error are unrelated." + }, + { + "left": "issue:2098", + "right": "issue:3631", + "accept": false, + "reason": "Both are runtime exceptions, but they describe different argument/latent-handling bugs." + }, + { + "left": "issue:3391", + "right": "issue:3487", + "accept": false, + "reason": "Different pipelines and different image-quality problems; not the same issue." + }, + { + "left": "issue:10045", + "right": "issue:6517", + "accept": false, + "reason": "Both are import failures, but the second is a specific ControlNet SDXL import traceback and the first is a broad pipeline-import complaint." + }, + { + "left": "issue:10994", + "right": "issue:9799", + "accept": false, + "reason": "Both mention tensor-size/runtime errors, but there is no evidence they are the same concrete code-path bug." + }, + { + "left": "issue:1037", + "right": "issue:1101", + "accept": false, + "reason": "Two unrelated feature requests in the pipeline/scheduler area." + }, + { + "left": "issue:10675", + "right": "issue:9822", + "accept": false, + "reason": "Flux scheduler config max_shift and loading SDXL LoRAs into Flux are different problems." + }, + { + "left": "issue:4554", + "right": "issue:7836", + "accept": false, + "reason": "OOM in a Kandinsky example and CLIP training overfitting are unrelated." + }, + { + "left": "issue:4665", + "right": "issue:8898", + "accept": false, + "reason": "Both involve model loading, but one is Windows bin-file selection and the other is subfolder from_pretrained path validation." + }, + { + "left": "issue:5335", + "right": "issue:785", + "accept": false, + "reason": "Deployment/network access and scheduler performance are unrelated." + }, + { + "left": "issue:5689", + "right": "issue:5703", + "accept": false, + "reason": "Both involve scheduler/noise behavior, but they are different algorithms and different bugs." + }, + { + "left": "issue:10833", + "right": "issue:13034", + "accept": false, + "reason": "Different models and different failure modes; not mergeable as one bug." + }, + { + "left": "issue:4305", + "right": "issue:5687", + "accept": false, + "reason": "torch.compile graph breaks and duplicate timesteps in img2img are different issues." + }, + { + "left": "issue:10772", + "right": "issue:8834", + "accept": false, + "reason": "A support request and a question about release plans are not the same change or bug." + }, + { + "left": "issue:2390", + "right": "issue:6243", + "accept": false, + "reason": "T2I-Adapter and IP-Adapter Face ID are distinct features." + }, + { + "left": "issue:4148", + "right": "issue:6331", + "accept": false, + "reason": "SDXL inpainting config error and SAG for inpainting are different topics." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 237, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10287", + "issue:10428", + "issue:10511", + "issue:10958", + "issue:1188", + "issue:12239", + "issue:12501", + "issue:1566", + "issue:1785", + "issue:1790", + "issue:2026", + "issue:2098", + "issue:2203", + "issue:2462", + "issue:2465", + "issue:3176", + "issue:3181", + "issue:322", + "issue:3221", + "issue:3366", + "issue:3694", + "issue:4071", + "issue:4306", + "issue:4675", + "issue:4724", + "issue:5070", + "issue:5118", + "issue:5124", + "issue:5168", + "issue:5595", + "issue:5605", + "issue:5607", + "issue:5670", + "issue:6661", + "issue:7012", + "issue:7480", + "issue:817", + "issue:8801", + "issue:8885", + "issue:8989", + "issue:9112", + "issue:9216", + "issue:9237", + "issue:9299", + "issue:9763", + "issue:9856", + "issue:9930" + ], + "soft_pairs": [ + "issue:5070|issue:5605", + "issue:5168|issue:8801", + "issue:1566|issue:5124", + "issue:10958|issue:9112", + "issue:1790|issue:2465", + "issue:5595|issue:5670", + "issue:8885|issue:9763", + "issue:2026|issue:4724", + "issue:4071|issue:4675", + "issue:5118|issue:9216", + "issue:6661|issue:7480", + "issue:12501|issue:9856", + "issue:3221|issue:3366", + "issue:8989|issue:9930", + "issue:10511|issue:12239", + "issue:1188|issue:322", + "issue:2462|issue:4071", + "issue:3176|issue:3181", + "issue:10287|issue:9237", + "issue:1785|issue:5607", + "issue:2098|issue:4306", + "issue:2203|issue:817", + "issue:3694|issue:7012", + "issue:10428|issue:9299" + ], + "prepared_review_unit_hash": "410672ad69a30c25d78df69c3b86217bd065bd4713be1cd383ada7148684816c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33250, + "estimated_input_tokens": 8313, + "estimated_eval_tokens": 16882 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a single duplicate cluster; it\u2019s a loose collection of unrelated bugs, feature requests, and support questions across many different pipelines and subsystems. None of the soft-edge pairs look like the same underlying issue.", + "confidence": 0.98, + "canonical_issue_reason": "No true canonical issue: the items are heterogeneous and do not share one underlying bug or change.", + "canonical_pr_reason": null, + "best_issue_reason": "If one issue must be used as an anchor, #10511 is the broadest and most forward-looking open item, but it is not a duplicate hub for the rest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5070", + "right": "issue:5605", + "accept": false, + "reason": "Both mention control/dreambooth-style training topics, but one is a ControlNet example setting change and the other is SDXL per-image caption support; different code paths and goals." + }, + { + "left": "issue:5168", + "right": "issue:8801", + "accept": false, + "reason": "Both are support requests for new model families, but ControlNet-XS and Kolors are distinct integrations with no shared bug/change." + }, + { + "left": "issue:1566", + "right": "issue:5124", + "accept": false, + "reason": "Dreambooth checkpoint save crash with fp16 output is unrelated to a question about fine-tuning a .safetensors checkpoint." + }, + { + "left": "issue:10958", + "right": "issue:9112", + "accept": false, + "reason": "Different pipelines and failures: CogView4 meta-tensor copy error versus Auraflow tensor-size mismatch." + }, + { + "left": "issue:1790", + "right": "issue:2465", + "accept": false, + "reason": "A general training question is not the same as asking for a reproducible DreamBooth recipe." + }, + { + "left": "issue:5595", + "right": "issue:5670", + "accept": false, + "reason": "Both are shape-related errors, but they affect different pipelines and different validation paths (size divisibility vs non-square image handling)." + }, + { + "left": "issue:8885", + "right": "issue:9763", + "accept": false, + "reason": "Custom Diffusion installation/token-loading trouble is unrelated to Flux ControlNet prompt truncation during training." + }, + { + "left": "issue:2026", + "right": "issue:4724", + "accept": false, + "reason": "PaintByExample cpu_offload behavior is a different bug from SDXL img2img not matching expected output." + }, + { + "left": "issue:4071", + "right": "issue:4675", + "accept": false, + "reason": "Both involve reference/inpaint-style features, but one is Inpaint-Only/Lama support and the other is ControlNet Reference Only for SDXL; not the same issue." + }, + { + "left": "issue:5118", + "right": "issue:9216", + "accept": false, + "reason": "A question about ControlNet reference_only usage is unrelated to a custom pipeline that combines arbitrary numbers of models." + }, + { + "left": "issue:6661", + "right": "issue:7480", + "accept": false, + "reason": "Both report OOMs, but they are on different hardware/workloads and do not indicate the same underlying memory bug." + }, + { + "left": "issue:12501", + "right": "issue:9856", + "accept": false, + "reason": "VAE graph-break behavior has nothing to do with a distributed port-in-use connection error." + }, + { + "left": "issue:3221", + "right": "issue:3366", + "accept": false, + "reason": "Both touch LoRA/attention features, but one is load_attn_procs compatibility and the other is autocast behavior in LoRALinearLayer; different concrete bugs." + }, + { + "left": "issue:8989", + "right": "issue:9930", + "accept": false, + "reason": "Sequential offloading in Stable Audio and PAG adaptive scale are unrelated subsystems." + }, + { + "left": "issue:10511", + "right": "issue:12239", + "accept": false, + "reason": "Scheduler redesign for SD3/Flux is not the same change as adding support for InfiniteTalk." + }, + { + "left": "issue:1188", + "right": "issue:322", + "accept": false, + "reason": "A new CLIPSeg+Stable Diffusion pipeline request is unrelated to the V-Diffusion community proposal." + }, + { + "left": "issue:2462", + "right": "issue:4071", + "accept": false, + "reason": "IterableDataset training support and Inpaint-Only/Lama support are different features with no shared bug/change." + }, + { + "left": "issue:3176", + "right": "issue:3181", + "accept": false, + "reason": "Both mention TensorRT example errors, but they are different examples with different failure modes; not enough evidence of one underlying bug." + }, + { + "left": "issue:10287", + "right": "issue:9237", + "accept": false, + "reason": "A documentation example issue is unrelated to Flux DreamBooth LoRA training problems." + }, + { + "left": "issue:1785", + "right": "issue:5607", + "accept": false, + "reason": "UnCLIP num_images_per_prompt behavior and a tensor-size mismatch error are not the same concrete problem." + }, + { + "left": "issue:2098", + "right": "issue:4306", + "accept": false, + "reason": "Torch.randn argument validation and StableDiffusionReferencePipeline index errors are unrelated." + }, + { + "left": "issue:2203", + "right": "issue:817", + "accept": false, + "reason": "Checkpoint download location is unrelated to mixed-precision failure in the DreamBooth example." + }, + { + "left": "issue:3694", + "right": "issue:7012", + "accept": false, + "reason": "Missing model/config files in a training example and odd v_prediction outputs are different bugs." + }, + { + "left": "issue:10428", + "right": "issue:9299", + "accept": false, + "reason": "An Ascend NPU Flux inference error is not the same as enabling CUDA graphs for Flux position embeddings." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 238, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10448", + "issue:11050", + "issue:11275", + "issue:1141", + "issue:11648", + "issue:11938", + "issue:1343", + "issue:1477", + "issue:1519", + "issue:1537", + "issue:201", + "issue:2161", + "issue:2326", + "issue:2377", + "issue:2440", + "issue:2518", + "issue:2552", + "issue:2737", + "issue:2772", + "issue:2784", + "issue:3043", + "issue:3073", + "issue:3377", + "issue:3422", + "issue:3986", + "issue:4213", + "issue:4304", + "issue:4488", + "issue:4593", + "issue:4764", + "issue:4846", + "issue:4912", + "issue:5515", + "issue:5553", + "issue:5731", + "issue:6321", + "issue:6463", + "issue:6561", + "issue:6742", + "issue:6928", + "issue:7519", + "issue:7661", + "issue:7841", + "issue:8463", + "issue:8759", + "issue:9047", + "issue:9241", + "issue:9899" + ], + "soft_pairs": [ + "issue:10448|issue:11648", + "issue:1141|issue:4912", + "issue:1343|issue:2518", + "issue:201|issue:2377", + "issue:2161|issue:2552", + "issue:5731|issue:6463", + "issue:6561|issue:7661", + "issue:7519|issue:7841", + "issue:9241|issue:9899", + "issue:5515|issue:5553", + "issue:1519|issue:1537", + "issue:1477|issue:2440", + "issue:11938|issue:9047", + "issue:11050|issue:8759", + "issue:2784|issue:4846", + "issue:4488|issue:6742", + "issue:2737|issue:3986", + "issue:2772|issue:4593", + "issue:3043|issue:3073", + "issue:4213|issue:6321", + "issue:11275|issue:8463", + "issue:2326|issue:4764", + "issue:3377|issue:4304", + "issue:3422|issue:6928" + ], + "prepared_review_unit_hash": "2a831afff7948cf376d03b91a81d2a3ea36814f9c091c5a5ffec7dfa83c14427", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33607, + "estimated_input_tokens": 8402, + "estimated_eval_tokens": 17060 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All proposed soft pairs are false positives: the items span unrelated bugs, feature requests, tutorials, and tests, so none look like the same underlying change or defect.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue stands out because this set is not a true duplicate cluster; the items are thematically mixed and mostly unrelated.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative for the group, since the pairings do not share a common code path or concrete bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10448", + "right": "issue:11648", + "accept": false, + "reason": "DDUF mmap loading vs LoRA weight loading for an fp8 transformer are different problems." + }, + { + "left": "issue:1141", + "right": "issue:4912", + "accept": false, + "reason": "Local-file pipeline support and SDXL checkpoint conversion are related only broadly to loading custom assets, not the same bug." + }, + { + "left": "issue:1343", + "right": "issue:2518", + "accept": false, + "reason": "One is a default xformers enablement request; the other is missing xformers support in a specific training script." + }, + { + "left": "issue:201", + "right": "issue:2377", + "accept": false, + "reason": "Both mention tests, but they target different components and changes." + }, + { + "left": "issue:2161", + "right": "issue:2552", + "accept": false, + "reason": "LoRA training on inpainting models is unrelated to the inpainting tutorial question." + }, + { + "left": "issue:5731", + "right": "issue:6463", + "accept": false, + "reason": "AutoencoderKL logvar behavior and a missing audio_diffusion pipeline are unrelated." + }, + { + "left": "issue:6561", + "right": "issue:7661", + "accept": false, + "reason": "Missing IP-Adapter config and animate diff + IP-Adapter integration are different code paths." + }, + { + "left": "issue:7519", + "right": "issue:7841", + "accept": false, + "reason": "Ignored xformers scale kwargs and SDXL red-dot rendering are unrelated bugs." + }, + { + "left": "issue:9241", + "right": "issue:9899", + "accept": false, + "reason": "Both are conversion-related, but they concern different source/target formats and model parts." + }, + { + "left": "issue:5515", + "right": "issue:5553", + "accept": false, + "reason": "LCM scheduler initialization failure and custom model loading failure are not the same defect." + }, + { + "left": "issue:1519", + "right": "issue:1537", + "accept": false, + "reason": "Both involve Apple MPS, but one is batch-image noise and the other is scheduler behavior." + }, + { + "left": "issue:1477", + "right": "issue:2440", + "accept": false, + "reason": "CUDA GEMM invalid value and fp16 inpainting model load failure are distinct errors." + }, + { + "left": "issue:11938", + "right": "issue:9047", + "accept": false, + "reason": "RMSNorm registration and FLUX failing on MPS are unrelated." + }, + { + "left": "issue:11050", + "right": "issue:8759", + "accept": false, + "reason": "Training dtype casting for SD3 prompt embeddings and an image processor warning are different issues." + }, + { + "left": "issue:2784", + "right": "issue:4846", + "accept": false, + "reason": "Dreambooth support request for text2video and strange Dreambooth results are not the same change." + }, + { + "left": "issue:4488", + "right": "issue:6742", + "accept": false, + "reason": "SDXL ckpt loading from_single_file and motion block checkpointing behavior are unrelated." + }, + { + "left": "issue:2737", + "right": "issue:3986", + "accept": false, + "reason": "CLIP guidance support for a scheduler and mesh output support for ShapEPipeline are different features." + }, + { + "left": "issue:2772", + "right": "issue:4593", + "accept": false, + "reason": "Local dataset handling in train_controlnet and a LoRA rank-loading error do not share the same code path." + }, + { + "left": "issue:3043", + "right": "issue:3073", + "accept": false, + "reason": "ODISE and consistency models are separate feature requests." + }, + { + "left": "issue:4213", + "right": "issue:6321", + "accept": false, + "reason": "SDXL from_single_file needing accelerate and CLIP model detection failure are unrelated." + }, + { + "left": "issue:11275", + "right": "issue:8463", + "accept": false, + "reason": "These are both NoneType errors, but they occur in different modules and failure modes." + }, + { + "left": "issue:2326", + "right": "issue:4764", + "accept": false, + "reason": "LoRA conversion to safetensors/ckpt and loading OFT-generated weights are different operations and bugs." + }, + { + "left": "issue:3377", + "right": "issue:4304", + "accept": false, + "reason": "A question about SNR weighting and a request for SDXL LoRA training are unrelated." + }, + { + "left": "issue:3422", + "right": "issue:6928", + "accept": false, + "reason": "Safety checker disabling and depthmap colorization toggling are separate features." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 239, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10653", + "issue:10757", + "issue:1188", + "issue:11922", + "issue:11989", + "issue:12653", + "issue:13015", + "issue:1895", + "issue:1969", + "issue:1992", + "issue:201", + "issue:2571", + "issue:2645", + "issue:321", + "issue:3222", + "issue:3487", + "issue:3582", + "issue:3771", + "issue:3829", + "issue:3974", + "issue:4171", + "issue:4185", + "issue:4194", + "issue:4436", + "issue:4782", + "issue:4815", + "issue:4826", + "issue:4913", + "issue:5150", + "issue:5168", + "issue:5605", + "issue:5849", + "issue:5968", + "issue:6141", + "issue:6383", + "issue:6412", + "issue:6530", + "issue:7061", + "issue:7080", + "issue:7421", + "issue:7568", + "issue:7877", + "issue:7985", + "issue:8234", + "issue:9062", + "issue:9511", + "issue:9611", + "issue:9889" + ], + "soft_pairs": [ + "issue:3829|issue:7421", + "issue:4171|issue:7061", + "issue:5150|issue:6383", + "issue:5968|issue:6412", + "issue:7568|issue:9889", + "issue:7985|issue:8234", + "issue:2571|issue:5849", + "issue:12653|issue:13015", + "issue:1188|issue:321", + "issue:1992|issue:201", + "issue:3487|issue:3582", + "issue:3974|issue:5168", + "issue:6141|issue:9511", + "issue:11922|issue:9611", + "issue:5605|issue:7877", + "issue:10757|issue:9062", + "issue:4194|issue:4436", + "issue:4913|issue:6530", + "issue:1895|issue:1969", + "issue:3222|issue:4185", + "issue:3771|issue:7080", + "issue:10653|issue:11989", + "issue:2645|issue:4826", + "issue:4782|issue:4815" + ], + "prepared_review_unit_hash": "666dfdcb33f4e1e812da596d80e29c581da1fcbead7dcf60cb7cfc49d6c19ffb", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34008, + "estimated_input_tokens": 8502, + "estimated_eval_tokens": 17260 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items span many unrelated bugs and feature requests across diffusion, ControlNet, ONNX, FLUX, IP-Adapter, and tooling. None of the soft pairs look like the same underlying issue/change, so I would not consolidate them into a single canonical duplicate cluster.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3829", + "right": "issue:7421", + "accept": false, + "reason": "Both mention generation reproducibility, but one is an ONNX/EulerAncestral nondeterminism report and the other is a k-diffusion seed issue in SDXL; different code paths and symptoms." + }, + { + "left": "issue:4171", + "right": "issue:7061", + "accept": false, + "reason": "UI rendering of the home-page reference section is unrelated to a bad docstring in a community pipeline." + }, + { + "left": "issue:5150", + "right": "issue:6383", + "accept": false, + "reason": "One is missing from_single_file support for an upscale pipeline; the other asks about multi-stage learning rates in get_scheduler. Different features entirely." + }, + { + "left": "issue:5968", + "right": "issue:6412", + "accept": false, + "reason": "Both mention ONNX, but one is converting text/image-to-video scripts and the other is exporting ControlNet annotators; not the same bug or change." + }, + { + "left": "issue:7568", + "right": "issue:9889", + "accept": false, + "reason": "Prompt token interpolation vs an sdxl-turbo segfault are unrelated failures." + }, + { + "left": "issue:7985", + "right": "issue:8234", + "accept": false, + "reason": "Both involve IP-Adapter, but torch.compile incompatibility and dict-valued ip_adapter_scale type errors are different concrete bugs." + }, + { + "left": "issue:2571", + "right": "issue:5849", + "accept": false, + "reason": "Accelerate import failure and an accelerate-launch CLI TypeError are separate problems in different layers." + }, + { + "left": "issue:12653", + "right": "issue:13015", + "accept": false, + "reason": "Rope float64/MPS-NPU issue is a dtype/reference bug; QwenImageEditPlus is a device-placement error on NPU. Not the same fix." + }, + { + "left": "issue:1188", + "right": "issue:321", + "accept": false, + "reason": "Both are community/feature ideas, but CLIPSeg+Stable Diffusion and Blended Diffusion are distinct proposals." + }, + { + "left": "issue:1992", + "right": "issue:201", + "accept": false, + "reason": "A JAX attention refactor discussion is not the same as a test request for attention classes." + }, + { + "left": "issue:3487", + "right": "issue:3582", + "accept": false, + "reason": "Both touch inpainting strength, but they target different pipelines and different failure modes; too broad to treat as duplicates." + }, + { + "left": "issue:3974", + "right": "issue:5168", + "accept": false, + "reason": "Safetensors support for a ControlNet inpaint pipeline is unrelated to ControlNet-XS support." + }, + { + "left": "issue:6141", + "right": "issue:9511", + "accept": false, + "reason": "Adding control_mode/resize_mode parameters is a different ControlNet API change than multi-controlnet batching for SDXL inpaint." + }, + { + "left": "issue:11922", + "right": "issue:9611", + "accept": false, + "reason": "A FLUX.1-Fill-dev runtime problem and a FLUX image batching error are not the same underlying bug." + }, + { + "left": "issue:5605", + "right": "issue:7877", + "accept": false, + "reason": "Per-image caption support for SDXL dreambooth is unrelated to adding an out_dim argument to Attention." + }, + { + "left": "issue:10757", + "right": "issue:9062", + "accept": false, + "reason": "A variable rename in a conversion script has nothing to do with an import error for StableAudioPipeline." + }, + { + "left": "issue:4194", + "right": "issue:4436", + "accept": false, + "reason": "from_single_file VAE behavior and CIVITAI safetensors conversion with VAE are related only broadly; they are not the same concrete defect." + }, + { + "left": "issue:4913", + "right": "issue:6530", + "accept": false, + "reason": "A specific ControlNet OpenPose model request and SDXL K-diffusion with ControlNet are different topics." + }, + { + "left": "issue:1895", + "right": "issue:1969", + "accept": false, + "reason": "EMA multi-GPU update logic and a tensor view/stride runtime error are unrelated." + }, + { + "left": "issue:3222", + "right": "issue:4185", + "accept": false, + "reason": "Missing custom diffusion weights after training is unrelated to black ControlNet-SDXL inference images." + }, + { + "left": "issue:3771", + "right": "issue:7080", + "accept": false, + "reason": "Conversion-to-Diffusers inference failures and wandb-vs-inference output mismatch in SDXL controlnet training are different issues." + }, + { + "left": "issue:10653", + "right": "issue:11989", + "accept": false, + "reason": "bitsandbytes 8-bit .to(cpu) limitation for HunyuanVideoTransformer3DModel is unrelated to black inference images." + }, + { + "left": "issue:2645", + "right": "issue:4826", + "accept": false, + "reason": "A mac M1 CUDA assertion failure and ControlNet Reference/MultiControlNet errors are different problems." + }, + { + "left": "issue:4782", + "right": "issue:4815", + "accept": false, + "reason": "Mask corruption during inpainting and a feature request for latents-only inputs are not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 240, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10194", + "issue:10311", + "issue:1062", + "issue:10705", + "issue:10891", + "issue:10893", + "issue:11218", + "issue:1156", + "issue:12141", + "issue:12412", + "issue:13053", + "issue:13191", + "issue:1594", + "issue:1643", + "issue:1730", + "issue:1831", + "issue:1976", + "issue:2311", + "issue:2841", + "issue:2875", + "issue:2883", + "issue:3336", + "issue:3591", + "issue:3826", + "issue:3975", + "issue:4217", + "issue:4376", + "issue:4551", + "issue:460", + "issue:4773", + "issue:5002", + "issue:5166", + "issue:5412", + "issue:5605", + "issue:5719", + "issue:5984", + "issue:684", + "issue:696", + "issue:7191", + "issue:7390", + "issue:7408", + "issue:8228", + "issue:834", + "issue:8752", + "issue:9063", + "issue:911", + "issue:9181", + "issue:9188" + ], + "soft_pairs": [ + "issue:10194|issue:9188", + "issue:10311|issue:11218", + "issue:10893|issue:13053", + "issue:1594|issue:2883", + "issue:1976|issue:911", + "issue:2311|issue:3336", + "issue:3826|issue:7408", + "issue:1062|issue:1730", + "issue:10705|issue:9063", + "issue:12412|issue:13191", + "issue:2875|issue:3591", + "issue:4376|issue:8752", + "issue:4217|issue:4773", + "issue:10891|issue:12141", + "issue:2841|issue:5605", + "issue:3975|issue:5719", + "issue:1643|issue:696", + "issue:460|issue:834", + "issue:5002|issue:5166", + "issue:1831|issue:4551", + "issue:7191|issue:9181", + "issue:5412|issue:5984", + "issue:7390|issue:8228", + "issue:1156|issue:684" + ], + "prepared_review_unit_hash": "21c8c5ffb83e723729f6ff84081ceaaa309b64c95af94735fcb6dfd16cdf03ec", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33404, + "estimated_input_tokens": 8351, + "estimated_eval_tokens": 16958 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is not a true duplicate cluster: it mixes unrelated feature requests and bug reports across Flux, Dreambooth, schedulers, SDXL, and other pipelines. None of the soft pairs look like the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": "Issue 9063 is the most concrete, reproducible bug report in the set and the clearest single issue to anchor on, but it should not be treated as a duplicate representative for the whole cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9063 has the strongest bug-specific signal (explicit FluxPipeline instantiation failure, detailed repro, active discussion) and is more actionable than the broader feature requests or vague import/training complaints.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10194", + "right": "issue:9188", + "accept": false, + "reason": "Flux attention masking and Flux outpainting are different feature requests with different model behavior and code paths." + }, + { + "left": "issue:10311", + "right": "issue:11218", + "accept": false, + "reason": "Both are import errors, but they reference different symbols, files, and failure causes." + }, + { + "left": "issue:10893", + "right": "issue:13053", + "accept": false, + "reason": "Different feature requests for different model families: CogVideoX ControlNet vs Unipic 3.0 pipeline support." + }, + { + "left": "issue:1594", + "right": "issue:2883", + "accept": false, + "reason": "Both relate to video generation, but one asks for img2img video generation and the other for an image-to-video pipeline; not the same change." + }, + { + "left": "issue:1976", + "right": "issue:911", + "accept": false, + "reason": "Tokenizer/config file lookup failure is unrelated to the vague Dreambooth bad-config report." + }, + { + "left": "issue:2311", + "right": "issue:3336", + "accept": false, + "reason": "UniPC scheduler support and DPM-Solver inverse scheduler are different scheduler features." + }, + { + "left": "issue:3826", + "right": "issue:7408", + "accept": false, + "reason": "Completely different pipelines: Audio-Journey vs FRESCO." + }, + { + "left": "issue:1062", + "right": "issue:1730", + "accept": false, + "reason": "Both mention Dreambooth, but one is about reproducibility of paper results and the other is a ckpt conversion/webui compatibility problem." + }, + { + "left": "issue:10705", + "right": "issue:9063", + "accept": false, + "reason": "Pipeline reuse performance regression is unrelated to a tokenizer instantiation/import error." + }, + { + "left": "issue:12412", + "right": "issue:13191", + "accept": false, + "reason": "Different model support requests for HunyuanImage-3.0 and Elastic-DiT." + }, + { + "left": "issue:2875", + "right": "issue:3591", + "accept": false, + "reason": "Training loss becoming NaN and ControlNet loss curve confusion are different training issues." + }, + { + "left": "issue:4376", + "right": "issue:8752", + "accept": false, + "reason": "Both concern SDXL/from_single_file behavior, but one crashes on load_textual_inversion while the other is an offline loading limitation." + }, + { + "left": "issue:4217", + "right": "issue:4773", + "accept": false, + "reason": "Slow safetensors loading and CivitAI LoRA loading are different load-path problems." + }, + { + "left": "issue:10891", + "right": "issue:12141", + "accept": false, + "reason": "Both are dtype/precision related, but they affect different components and failure modes (DCAE conversion vs WanVACE VAE dtype)." + }, + { + "left": "issue:2841", + "right": "issue:5605", + "accept": false, + "reason": "Scheduler sampling temperature and SDXL Dreambooth per-image captions are unrelated features." + }, + { + "left": "issue:3975", + "right": "issue:5719", + "accept": false, + "reason": "A typo in an error message is not the same as changing LoRA file-discovery order." + }, + { + "left": "issue:1643", + "right": "issue:696", + "accept": false, + "reason": "Dreambooth xformers API mismatch and Dreambooth CUDA OOM are distinct failures." + }, + { + "left": "issue:460", + "right": "issue:834", + "accept": false, + "reason": "ONNX runtime dependency selection and CPU underutilization are different performance/environment issues." + }, + { + "left": "issue:5002", + "right": "issue:5166", + "accept": false, + "reason": "Scheduler argument support and VQ-VAE scaling-factor handling are unrelated code paths." + }, + { + "left": "issue:1831", + "right": "issue:4551", + "accept": false, + "reason": "Both are Dreambooth-related, but one is a class-image precision mismatch and the other is an SDXL Dreambooth crash." + }, + { + "left": "issue:7191", + "right": "issue:9181", + "accept": false, + "reason": "A generic import problem and a ControlNet image artifact issue are unrelated." + }, + { + "left": "issue:5412", + "right": "issue:5984", + "accept": false, + "reason": "Checkpoint resume failure and fp16 system-RAM usage are different bugs in the same script." + }, + { + "left": "issue:7390", + "right": "issue:8228", + "accept": false, + "reason": "Both involve from_single_file, but one is a ControlNet inpaint pipeline error and the other is a CLIPTextModel load failure." + }, + { + "left": "issue:1156", + "right": "issue:684", + "accept": false, + "reason": "A vague training failure and AMD-specific memory optimization issues are too broad and not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 241, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10227", + "issue:1033", + "issue:10520", + "issue:10710", + "issue:10928", + "issue:1106", + "issue:1478", + "issue:1572", + "issue:1657", + "issue:1805", + "issue:1909", + "issue:2083", + "issue:2214", + "issue:2277", + "issue:2447", + "issue:2480", + "issue:2769", + "issue:3113", + "issue:322", + "issue:3564", + "issue:3963", + "issue:4042", + "issue:4349", + "issue:4638", + "issue:4704", + "issue:4727", + "issue:4806", + "issue:5079", + "issue:5476", + "issue:5616", + "issue:5953", + "issue:6093", + "issue:6201", + "issue:6372", + "issue:6427", + "issue:6513", + "issue:713", + "issue:7276", + "issue:7454", + "issue:8264", + "issue:8373", + "issue:8495", + "issue:8588", + "issue:8671", + "issue:9078", + "issue:9241", + "issue:964" + ], + "soft_pairs": [ + "issue:10227|issue:10710", + "issue:5616|issue:6427", + "issue:10928|issue:8495", + "issue:1106|issue:2480", + "issue:1657|issue:5476", + "issue:1805|issue:322", + "issue:1909|issue:2083", + "issue:2214|issue:2769", + "issue:2277|issue:6093", + "issue:2447|issue:713", + "issue:3113|issue:4042", + "issue:3564|issue:6372", + "issue:4349|issue:6201", + "issue:4638|issue:9078", + "issue:5079|issue:6513", + "issue:7454|issue:9241", + "issue:8588|issue:8671", + "issue:1478|issue:5953", + "issue:4704|issue:7276", + "issue:3963|issue:4727", + "issue:1033|issue:1572", + "issue:4806|issue:8373", + "issue:10520|issue:8264", + "issue:1572|issue:964" + ], + "prepared_review_unit_hash": "96734a2dd5dca69d80581c81b4b7d153d9c72c93aaaaf491c40dbd3c640dc19a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33214, + "estimated_input_tokens": 8304, + "estimated_eval_tokens": 16864 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are false positives across unrelated features or pipelines. The only clear duplicate is the generator-list/scheduler bug in issues 1909 and 2083. No pull requests are present in the input.", + "confidence": 0.78, + "canonical_issue_reason": "issue:1909 is the most general, clearly scoped description of the duplicate bug: pipelines pass a list of generators while schedulers only accept one generator. issue:2083 is a narrower DDIMScheduler/eta>0 symptom of the same problem.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:1909 is the best canonical issue because it states the underlying incompatibility cleanly and broadly, making it the most reusable duplicate target for the accepted pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10227", + "right": "issue:10710", + "accept": false, + "reason": "LoRA feature/error vs DDUF format support; different subsystems and failure modes." + }, + { + "left": "issue:5616", + "right": "issue:6427", + "accept": false, + "reason": "Both mention loading/conversion problems, but one is an SDXL safetensors runtime error and the other is ckpt conversion; not the same concrete bug." + }, + { + "left": "issue:10928", + "right": "issue:8495", + "accept": false, + "reason": "Missing UNet fp16 weights vs SD3 tokenizer enum error; unrelated code paths." + }, + { + "left": "issue:1106", + "right": "issue:2480", + "accept": false, + "reason": "Repeated UNet calls in PNDM vs missing checkpoint folder output in DreamBooth training; not the same issue." + }, + { + "left": "issue:1657", + "right": "issue:5476", + "accept": false, + "reason": "A notebook/examples request vs a LoRA loading compatibility question; unrelated." + }, + { + "left": "issue:1805", + "right": "issue:322", + "accept": false, + "reason": "A new pipeline feature request vs a model reference issue; no shared bug/change." + }, + { + "left": "issue:1909", + "right": "issue:2083", + "accept": true, + "reason": "Both describe the same scheduler/generator incompatibility: lists of generators are passed where schedulers expect a single generator, with DDIMScheduler+eta>0 as a specific manifestation." + }, + { + "left": "issue:2214", + "right": "issue:2769", + "accept": false, + "reason": "NSFW filter regression vs model conversion corruption; different problems." + }, + { + "left": "issue:2277", + "right": "issue:6093", + "accept": false, + "reason": "Wrong attention_head_dim length vs hub push behavior in a training script; unrelated." + }, + { + "left": "issue:2447", + "right": "issue:713", + "accept": false, + "reason": "Generic LoRA error vs generic training error; too vague and no evidence of the same root cause." + }, + { + "left": "issue:3113", + "right": "issue:4042", + "accept": false, + "reason": "Both are about conditioning/control ideas, but they target different techniques and integration points." + }, + { + "left": "issue:3564", + "right": "issue:6372", + "accept": false, + "reason": "Uni-ControlNet support vs SVD+ControlNet; same broad area, but not the same concrete change." + }, + { + "left": "issue:4349", + "right": "issue:6201", + "accept": false, + "reason": "Both concern prompt_embeds/text handling, but they affect different pipelines and different code paths." + }, + { + "left": "issue:4638", + "right": "issue:9078", + "accept": false, + "reason": "Textual inversion on SDXL vs Flux LoRA loading; different adapter/model support requests." + }, + { + "left": "issue:5079", + "right": "issue:6513", + "accept": false, + "reason": "LoRA loading support vs T2IAdapter model support; different features." + }, + { + "left": "issue:7454", + "right": "issue:9241", + "accept": false, + "reason": "General LoRA support vs a conversion script from XLab LoRA; related topic, but not the same underlying change." + }, + { + "left": "issue:8588", + "right": "issue:8671", + "accept": false, + "reason": "Missing SD3 conversion script vs redundant code in a DreamBooth LoRA training script; unrelated." + }, + { + "left": "issue:1478", + "right": "issue:5953", + "accept": false, + "reason": "Multiple output images vs mismatched control/image sizes; different pipeline bugs." + }, + { + "left": "issue:4704", + "right": "issue:7276", + "accept": false, + "reason": "Custom Diffusion training failure vs DreamBooth example network errors; unrelated." + }, + { + "left": "issue:3963", + "right": "issue:4727", + "accept": false, + "reason": "Windows auto-download behavior vs local_files_only auto-pipeline behavior; not the same bug." + }, + { + "left": "issue:1033", + "right": "issue:1572", + "accept": false, + "reason": "Both mention stable_diffusion_mega, but one is an IndexError and the other is a broader img2img/inpainting support issue; not clearly the same concrete failure." + }, + { + "left": "issue:4806", + "right": "issue:8373", + "accept": false, + "reason": "Incorrect UNet2DModel parameter type vs wrong error message; different fixes." + }, + { + "left": "issue:10520", + "right": "issue:8264", + "accept": false, + "reason": "Device mismatch on Sana 4K inference vs training stuck at 0%; unrelated." + }, + { + "left": "issue:1572", + "right": "issue:964", + "accept": false, + "reason": "Stable_diffusion_mega img2img/inpainting failure vs inpainting example not working; too broad and not clearly the same code path." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: it correctly notes that only issues are present, and the 1909/2083 pair is the only clearly supported duplicate based on the issue titles. The other soft-edge rejections are conservative and do not overclaim evidence. No obvious unsupported inference or mergeability problem is present." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 242, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10448", + "issue:10470", + "issue:10798", + "issue:10954", + "issue:11033", + "issue:11093", + "issue:11307", + "issue:11314", + "issue:11555", + "issue:12037", + "issue:12052", + "issue:12423", + "issue:1246", + "issue:12738", + "issue:12905", + "issue:13034", + "issue:13073", + "issue:1315", + "issue:13162", + "issue:13286", + "issue:1375", + "issue:1934", + "issue:4141", + "issue:4375", + "issue:4399", + "issue:4453", + "issue:4480", + "issue:4506", + "issue:4726", + "issue:5016", + "issue:5574", + "issue:5685", + "issue:6201", + "issue:6398", + "issue:668", + "issue:7322", + "issue:8407", + "issue:8495", + "issue:8500", + "issue:8535", + "issue:8593", + "issue:8708", + "issue:8723", + "issue:8880", + "issue:9460", + "issue:9686", + "issue:9902", + "issue:9942" + ], + "soft_pairs": [ + "issue:10798|issue:13034", + "issue:12037|issue:13162", + "issue:1315|issue:1375", + "issue:11033|issue:12423", + "issue:4453|issue:5574", + "issue:9902|issue:9942", + "issue:5685|issue:8407", + "issue:4375|issue:8880", + "issue:4480|issue:4726", + "issue:5016|issue:7322", + "issue:4141|issue:4399", + "issue:1246|issue:668", + "issue:4506|issue:6201", + "issue:8495|issue:8593", + "issue:11307|issue:12052", + "issue:1934|issue:6398", + "issue:8500|issue:8535", + "issue:8708|issue:9686", + "issue:8723|issue:9460", + "issue:10448|issue:10954", + "issue:11314|issue:12905", + "issue:10470|issue:11093", + "issue:11555|issue:13286", + "issue:12738|issue:13073" + ], + "prepared_review_unit_hash": "685f90fe072f322130bd878898dde609dac2981cbfbc12b322d855de31fca3c7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33561, + "estimated_input_tokens": 8391, + "estimated_eval_tokens": 17038 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly heterogeneous: the soft pairs share broad themes like loading, offloading, or TorchAO, but not the same concrete bug/change. I would keep the pairs separate; none are strong duplicate matches. Among the issues, 11555 is the broadest open, user-facing pipeline/device-map request and is the best representative of the cluster.", + "confidence": 0.67, + "canonical_issue_reason": "11555 is the most general open issue in the set and has inbound references, making it the best representative for a broad pipeline/device-map/offloading concern.", + "canonical_pr_reason": null, + "best_issue_reason": "11555 is the broadest, most central issue here; the others are mostly narrow, model-specific bug reports that do not form a single duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10798", + "right": "issue:13034", + "accept": false, + "reason": "Different models and failures: Flux/BitsAndBytes quantization device-combination bug vs WanPipeline height/width handling." + }, + { + "left": "issue:12037", + "right": "issue:13162", + "accept": false, + "reason": "Both mention LoRA/model compatibility, but they are different models and different failure modes." + }, + { + "left": "issue:1315", + "right": "issue:1375", + "accept": false, + "reason": "Both are import-related, but one is a missing symbol regression and the other is a broader import failure; not clearly the same root cause." + }, + { + "left": "issue:11033", + "right": "issue:12423", + "accept": false, + "reason": "Different from_single_file paths for different model classes; no evidence of the same bug." + }, + { + "left": "issue:4453", + "right": "issue:5574", + "accept": false, + "reason": "LoRA conversion/export vs training a subset of UNet attention parameters are different tasks." + }, + { + "left": "issue:9902", + "right": "issue:9942", + "accept": false, + "reason": "Conda version pinning/install metadata issue vs pip dependency installation failure; unrelated." + }, + { + "left": "issue:5685", + "right": "issue:8407", + "accept": false, + "reason": "Generic scheduler concerns vs a specific UniPC set_timesteps kwargs incompatibility; too broad to merge." + }, + { + "left": "issue:4375", + "right": "issue:8880", + "accept": false, + "reason": "Inference crash under torch.compile vs a speed regression; different concrete problems." + }, + { + "left": "issue:4480", + "right": "issue:4726", + "accept": false, + "reason": "MPS float16 kernel crash and callback type annotation are unrelated." + }, + { + "left": "issue:5016", + "right": "issue:7322", + "accept": false, + "reason": "Text-encoder training limitation vs SIGKILL during training; different underlying issues." + }, + { + "left": "issue:4141", + "right": "issue:4399", + "accept": false, + "reason": "Different code paths: multi-controlnet behavior vs torch compile/cpu offload incompatibility." + }, + { + "left": "issue:1246", + "right": "issue:668", + "accept": false, + "reason": "Both are dreambooth runtime errors, but the titles point to different failure contexts and not the same bug." + }, + { + "left": "issue:4506", + "right": "issue:6201", + "accept": false, + "reason": "Prompt_embeds overwrite bug vs prompt-absent prompt encoding logic; related area, different defect." + }, + { + "left": "issue:8495", + "right": "issue:8593", + "accept": false, + "reason": "Tokenizer initialization error vs bfloat16 noise on CPU; unrelated SD3 problems." + }, + { + "left": "issue:11307", + "right": "issue:12052", + "accept": false, + "reason": "Both involve offloading/device mismatch, but they are different models and different failure paths." + }, + { + "left": "issue:1934", + "right": "issue:6398", + "accept": false, + "reason": "Specific cpu_offload VRAM usage issue vs generic memory leak report; not the same bug." + }, + { + "left": "issue:8500", + "right": "issue:8535", + "accept": false, + "reason": "SD3 token-limit question vs xformers memory-efficient attention support; unrelated." + }, + { + "left": "issue:8708", + "right": "issue:9686", + "accept": false, + "reason": "Missing shift_factor in training examples vs ControlNet pooled projections bug; different parts of SD3." + }, + { + "left": "issue:8723", + "right": "issue:9460", + "accept": false, + "reason": "Initialization error from_transformer vs feature request to assign a list of ControlNets; not the same issue." + }, + { + "left": "issue:10448", + "right": "issue:10954", + "accept": false, + "reason": "DDUF/mmap loading feature request vs a LoRA loading failure; different artifacts and code paths." + }, + { + "left": "issue:11314", + "right": "issue:12905", + "accept": false, + "reason": "Flux controlnet training script mistake vs Z-Image guidance scale implementation bug; unrelated." + }, + { + "left": "issue:10470", + "right": "issue:11093", + "accept": false, + "reason": "Both mention TorchAO, but one is Flux inference not working and the other is a broken example; not clearly the same concrete bug." + }, + { + "left": "issue:11555", + "right": "issue:13286", + "accept": false, + "reason": "Device_map='auto' support for pipelines vs torchao>=0.16.0 quantization support; different capabilities." + }, + { + "left": "issue:12738", + "right": "issue:13073", + "accept": false, + "reason": "ZImage batch-size assertion vs ZImageControlNet guidance_scale behavior; different failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 243, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10227", + "issue:10596", + "issue:10950", + "issue:11127", + "issue:11221", + "issue:11555", + "issue:11648", + "issue:13104", + "issue:1398", + "issue:1439", + "issue:1519", + "issue:1805", + "issue:1918", + "issue:2177", + "issue:2375", + "issue:2439", + "issue:2500", + "issue:2581", + "issue:2646", + "issue:2663", + "issue:2712", + "issue:272", + "issue:3120", + "issue:321", + "issue:3694", + "issue:4031", + "issue:4086", + "issue:4282", + "issue:4312", + "issue:525", + "issue:5894", + "issue:6146", + "issue:6357", + "issue:6372", + "issue:6700", + "issue:7054", + "issue:7079", + "issue:7640", + "issue:785", + "issue:7960", + "issue:8429", + "issue:8493", + "issue:8894", + "issue:9387", + "issue:954", + "issue:969", + "issue:9690", + "issue:9972" + ], + "soft_pairs": [ + "issue:11221|issue:7960", + "issue:2646|issue:2663", + "issue:6146|issue:8894", + "issue:1918|issue:2439", + "issue:2581|issue:4086", + "issue:2712|issue:3694", + "issue:272|issue:4312", + "issue:6372|issue:9387", + "issue:10227|issue:11555", + "issue:10950|issue:8429", + "issue:1398|issue:1519", + "issue:4031|issue:6357", + "issue:11127|issue:13104", + "issue:3120|issue:4282", + "issue:2500|issue:969", + "issue:10596|issue:7079", + "issue:1439|issue:525", + "issue:1805|issue:321", + "issue:7054|issue:8493", + "issue:11648|issue:9690", + "issue:6700|issue:7640", + "issue:5894|issue:9972", + "issue:2375|issue:785", + "issue:2177|issue:954" + ], + "prepared_review_unit_hash": "6ff5323f5d15f6168d470affb4a2ba910941b165120270cf6959d17dd1132a69", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33636, + "estimated_input_tokens": 8409, + "estimated_eval_tokens": 17074 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: the items span unrelated bugs, feature requests, docs issues, and different model/pipeline failures. The only commonality is superficial similarity in loading/training/error wording, so all soft-edge links should be rejected.", + "confidence": 0.72, + "canonical_issue_reason": "Issue 10227 is the strongest representative: it is a concrete, actionable runtime bug with an explicit error message, while most others are either different subsystems, feature requests, or unrelated failure modes.", + "canonical_pr_reason": null, + "best_issue_reason": "10227 is the clearest bug report in the set and the most plausible anchor for a triage cluster, even though the surrounding items are not true duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11221", + "right": "issue:7960", + "accept": false, + "reason": "Different failures: autoencoder non-convergence vs SDXL multi-GPU training failure." + }, + { + "left": "issue:2646", + "right": "issue:2663", + "accept": false, + "reason": "Different components and symptoms: tiled VAE index error vs safety checker local-file loading failure." + }, + { + "left": "issue:6146", + "right": "issue:8894", + "accept": false, + "reason": "Different training scripts and bug reports; no shared code-path evidence." + }, + { + "left": "issue:1918", + "right": "issue:2439", + "accept": false, + "reason": "DDIM scheduler issue for one example vs inpainting pipeline load/run issue." + }, + { + "left": "issue:2581", + "right": "issue:4086", + "accept": false, + "reason": "ControlNet checkpoint conversion support vs SDXL ControlNet training not working." + }, + { + "left": "issue:2712", + "right": "issue:3694", + "accept": false, + "reason": "Missing config key warning vs missing model_index/config files in a finetuning example." + }, + { + "left": "issue:272", + "right": "issue:4312", + "accept": false, + "reason": "Inpainting scheduler support request vs SAG support request; separate features." + }, + { + "left": "issue:6372", + "right": "issue:9387", + "accept": false, + "reason": "SVD + ControlNet request vs MimicMotion pipeline request; different pipelines." + }, + { + "left": "issue:10227", + "right": "issue:11555", + "accept": false, + "reason": "LoRA shape restriction bug vs device_map=\"auto\" support question; unrelated issues." + }, + { + "left": "issue:10950", + "right": "issue:8429", + "accept": false, + "reason": "Broken docs section vs a failing inference script; different artifact types." + }, + { + "left": "issue:1398", + "right": "issue:1519", + "accept": false, + "reason": "Both involve Apple/MPS, but one is SD2 support and the other is noisy batch input; not the same bug." + }, + { + "left": "issue:4031", + "right": "issue:6357", + "accept": false, + "reason": "Local safety-checker loading failure vs API/local output differences; different problems." + }, + { + "left": "issue:11127", + "right": "issue:13104", + "accept": false, + "reason": "Single-file FLUX model loading failure vs a logger NameError; unrelated code paths." + }, + { + "left": "issue:3120", + "right": "issue:4282", + "accept": false, + "reason": "ControlNet training produces same output vs request for multi-ControlNet pipeline; bug vs feature request." + }, + { + "left": "issue:2500", + "right": "issue:969", + "accept": false, + "reason": "Meta-tensor copy error in tests vs multi-GPU Accelerate test failure; different contexts." + }, + { + "left": "issue:10596", + "right": "issue:7079", + "accept": false, + "reason": "FluxControlPipeline invalid shape error vs Transformer2DModel patch/layer_norm error; distinct failures." + }, + { + "left": "issue:1439", + "right": "issue:525", + "accept": false, + "reason": "Missing transformers FeatureExtractionMixin vs notebook loading local images; no shared code-path." + }, + { + "left": "issue:1805", + "right": "issue:321", + "accept": false, + "reason": "Feature request for scalable diffusion pipeline vs Blended Diffusion request; unrelated features." + }, + { + "left": "issue:7054", + "right": "issue:8493", + "accept": false, + "reason": "LoRA loader mutates the input state_dict vs SD3Transformer2DModel state_dict loading errors; different bugs." + }, + { + "left": "issue:11648", + "right": "issue:9690", + "accept": false, + "reason": "How to load LoRA with FP8 transformer vs FLUX FP8 example cleanup; different scope." + }, + { + "left": "issue:6700", + "right": "issue:7640", + "accept": false, + "reason": "Attention processor temb argument bug vs SDXL from_single_file dimension error; unrelated runtime issues." + }, + { + "left": "issue:5894", + "right": "issue:9972", + "accept": false, + "reason": "Invalid buffer size error vs a 10TB buffer request on macOS; not the same underlying bug." + }, + { + "left": "issue:2375", + "right": "issue:785", + "accept": false, + "reason": "safe_open NameError vs PNDM scheduler performance issue; different code paths and severity." + }, + { + "left": "issue:2177", + "right": "issue:954", + "accept": false, + "reason": "AutoencoderKL loading failure vs post-login loading failure; unrelated symptoms." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 244, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10085", + "issue:10150", + "issue:10194", + "issue:10475", + "issue:10672", + "issue:1109", + "issue:12359", + "issue:12367", + "issue:13477", + "issue:1363", + "issue:1536", + "issue:1643", + "issue:1672", + "issue:1941", + "issue:1976", + "issue:2420", + "issue:2507", + "issue:2783", + "issue:2961", + "issue:3116", + "issue:3455", + "issue:3672", + "issue:3799", + "issue:3970", + "issue:4061", + "issue:4148", + "issue:4312", + "issue:5283", + "issue:5334", + "issue:5462", + "issue:5821", + "issue:6091", + "issue:6418", + "issue:7061", + "issue:7341", + "issue:7450", + "issue:7490", + "issue:8803", + "issue:8805", + "issue:8876", + "issue:8970", + "issue:8997", + "issue:941", + "issue:954", + "issue:9844", + "issue:9902", + "issue:9926", + "issue:9958" + ], + "soft_pairs": [ + "issue:2783|issue:5462", + "issue:2961|issue:3455", + "issue:3116|issue:941", + "issue:4148|issue:4312", + "issue:5283|issue:6418", + "issue:5334|issue:8803", + "issue:5821|issue:7490", + "issue:8803|issue:8805", + "issue:1109|issue:2507", + "issue:10085|issue:10475", + "issue:3672|issue:7450", + "issue:3970|issue:4061", + "issue:8970|issue:8997", + "issue:12359|issue:13477", + "issue:10672|issue:12367", + "issue:9926|issue:9958", + "issue:1643|issue:2420", + "issue:10150|issue:9844", + "issue:1976|issue:3799", + "issue:7061|issue:8876", + "issue:7341|issue:9902", + "issue:1363|issue:1536", + "issue:1941|issue:954", + "issue:10194|issue:12367", + "issue:1672|issue:6091" + ], + "prepared_review_unit_hash": "55196074df1cdb896d29b310229b0928967d5730322dfbb116a30b85a44d7c13", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33935, + "estimated_input_tokens": 8484, + "estimated_eval_tokens": 17224 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous issue noise rather than a single duplicate family. The soft pairs share broad subsystem keywords, but they describe different bugs/features and should not be merged as duplicates.", + "confidence": 0.78, + "canonical_issue_reason": "issue:3672 is the strongest representative only because it has the most discussion and inbound references, and it is a real runtime inference bug; however, the surrounding items are not true duplicates of it.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3672 best represents the cluster for triage, but only as a broad inference-bug exemplar, not as a canonical duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2783", + "right": "issue:5462", + "accept": false, + "reason": "Different requests: creating a ControlNet img2img/inpainting pipeline vs adding img2img for latent consistency models." + }, + { + "left": "issue:2961", + "right": "issue:3455", + "accept": false, + "reason": "Different pipeline training asks: StableUnCLIP training example vs using a pretrained instruct-pix2pix model during instruct-pix2pix training." + }, + { + "left": "issue:3116", + "right": "issue:941", + "accept": false, + "reason": "Both are img2img scheduler issues, but they affect different pipelines and symptoms (KDPM2DiscreteScheduler latent noise vs MPS num_images_per_prompt noise)." + }, + { + "left": "issue:4148", + "right": "issue:4312", + "accept": false, + "reason": "Unrelated SDXL inpainting config error vs a feature request for SAG in inpainting/img2img." + }, + { + "left": "issue:5283", + "right": "issue:6418", + "accept": false, + "reason": "Completely different domains: audio/video caption merging vs stable video diffusion training output repeating the first frame." + }, + { + "left": "issue:5334", + "right": "issue:8803", + "accept": false, + "reason": "Different problems: Accelerate multi-model training API usage vs a duplicate hidden_states assignment in attention_processor." + }, + { + "left": "issue:5821", + "right": "issue:7490", + "accept": false, + "reason": "Both mention backward, but one is a CUDA training/backward failure and the other is a generic problem in backward with no concrete shared code path." + }, + { + "left": "issue:8803", + "right": "issue:8805", + "accept": false, + "reason": "Different bugs: attention_processor hidden_states assignment vs convert_diffusers_to_original_sdxl.py breaking." + }, + { + "left": "issue:1109", + "right": "issue:2507", + "accept": false, + "reason": "Both concern performance/CPU/GPU usage, but one is CPU core underutilization and the other is slower safetensors loading on GPU." + }, + { + "left": "issue:10085", + "right": "issue:10475", + "accept": false, + "reason": "LyCORIS batch inference skip_guidance_layers runtime error is not the same as SD3 inference quality mismatch vs validation." + }, + { + "left": "issue:3672", + "right": "issue:7450", + "accept": false, + "reason": "Threading/concurrency problems in different components: StableDiffusionPipeline inference threads vs AutoencoderKL multi-thread issues." + }, + { + "left": "issue:3970", + "right": "issue:4061", + "accept": false, + "reason": "Both are SDXL-related, but one is prompt embeddings failing and the other is a LoRA loading error." + }, + { + "left": "issue:8970", + "right": "issue:8997", + "accept": false, + "reason": "Same model family, but different failures: MPS black images vs EDMDPMSolverMultistepScheduler usage error." + }, + { + "left": "issue:12359", + "right": "issue:13477", + "accept": false, + "reason": "Different bug classes: Chroma guidance_scale documentation problem vs ErnieImage callback locals() scope bug." + }, + { + "left": "issue:10672", + "right": "issue:12367", + "accept": false, + "reason": "One is a callback API support request for pipelines; the other is a request for Qwen-Image Eligen LoRA support." + }, + { + "left": "issue:9926", + "right": "issue:9958", + "accept": false, + "reason": "Both are model optimization/support requests, but one asks for gguf quantize/speed support and the other for AutoencoderKLTemporalDecoder tiling." + }, + { + "left": "issue:1643", + "right": "issue:2420", + "accept": false, + "reason": "Similar xformers wording, but different contexts: DreamBooth API mismatch vs text-to-image LoRA training failure with xformers enabled." + }, + { + "left": "issue:10150", + "right": "issue:9844", + "accept": false, + "reason": "Both mention inference/loading quality/performance, but one is SDXL slow loading/inference and the other is SDXL VAE encoder producing NaNs." + }, + { + "left": "issue:1976", + "right": "issue:3799", + "accept": false, + "reason": "Both are type/file-resolution errors, but one is tokenizer config lookup and the other is incorrect inferred scheduler type." + }, + { + "left": "issue:7061", + "right": "issue:8876", + "accept": false, + "reason": "Both are doc/config issues, but one is an incorrect Imagic community pipeline docstring and the other is missing PixArt Sigma resolution microconditioning." + }, + { + "left": "issue:7341", + "right": "issue:9902", + "accept": false, + "reason": "Unrelated failures: TorchVersion/Version comparison TypeError vs conda version getting stuck." + }, + { + "left": "issue:1363", + "right": "issue:1536", + "accept": false, + "reason": "Both involve LPW/custom pipeline compatibility, but one is an ONNX long-prompt-weight scheduler error and the other is a custom pipeline incompatibility with newer diffusers." + }, + { + "left": "issue:1941", + "right": "issue:954", + "accept": false, + "reason": "Different loading/login problems: custom pipeline loading for UnCLIP vs not able to load after successful login." + }, + { + "left": "issue:10194", + "right": "issue:12367", + "accept": false, + "reason": "A feature request for Flux attention masking is not the same as a Qwen-Image LoRA support request." + }, + { + "left": "issue:1672", + "right": "issue:6091", + "accept": false, + "reason": "Different size/memory bugs: ckpt-to-diffusers script producing wrong image size vs consistency decoder memory issue with size argument." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 245, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10128", + "issue:10144", + "issue:10591", + "issue:10653", + "issue:1082", + "issue:11000", + "issue:11486", + "issue:11833", + "issue:11973", + "issue:1249", + "issue:12540", + "issue:12620", + "issue:12905", + "issue:13073", + "issue:1704", + "issue:1992", + "issue:2560", + "issue:2988", + "issue:3176", + "issue:3391", + "issue:3452", + "issue:3887", + "issue:3908", + "issue:4159", + "issue:4520", + "issue:4542", + "issue:4557", + "issue:4680", + "issue:4839", + "issue:5028", + "issue:5465", + "issue:590", + "issue:6359", + "issue:6529", + "issue:6548", + "issue:6906", + "issue:7428", + "issue:7722", + "issue:7773", + "issue:8237", + "issue:8317", + "issue:8589", + "issue:8637", + "issue:8708", + "issue:9477", + "issue:9495", + "issue:967", + "issue:9936" + ], + "soft_pairs": [ + "issue:3452|issue:6906", + "issue:8317|issue:8708", + "issue:4159|issue:5465", + "issue:8237|issue:9477", + "issue:4520|issue:5028", + "issue:7722|issue:9495", + "issue:12540|issue:13073", + "issue:11973|issue:9936", + "issue:2988|issue:590", + "issue:3391|issue:4557", + "issue:2560|issue:3908", + "issue:10128|issue:7428", + "issue:10144|issue:7773", + "issue:10591|issue:12905", + "issue:10653|issue:11833", + "issue:1082|issue:4839", + "issue:11000|issue:12620", + "issue:11486|issue:8589", + "issue:1249|issue:967", + "issue:1704|issue:1992", + "issue:3176|issue:6359", + "issue:3887|issue:8637", + "issue:4542|issue:6548", + "issue:4680|issue:6529" + ], + "prepared_review_unit_hash": "25840701fb225755ebc6d520df9b06ea9cdef33bd97e0332bd0f848f2d392eb9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33865, + "estimated_input_tokens": 8467, + "estimated_eval_tokens": 17190 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated issues that only share broad keywords like DreamBooth, LoRA, pipelines, or scheduler names. The suggested soft links are superficial; none look like the same underlying bug or change.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue: the set spans many distinct bugs, features, and examples across different pipelines and training scripts.", + "canonical_pr_reason": null, + "best_issue_reason": "No best issue for deduplication: there is no coherent duplicate cluster to collapse into one representative issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3452", + "right": "issue:6906", + "accept": false, + "reason": "Both mention DreamBooth, but one is a low-VRAM question and the other is a broken LoRA example; different problems and fixes." + }, + { + "left": "issue:8317", + "right": "issue:8708", + "accept": false, + "reason": "Both concern VAE-related training issues, but one is a missing generator arg in decode/forward and the other is a missing shift_factor config; not the same bug." + }, + { + "left": "issue:4159", + "right": "issue:5465", + "accept": false, + "reason": "Both involve DiffEdit, but one is excessive VRAM use and the other is an inpaint_strength limitation; separate code-path issues." + }, + { + "left": "issue:8237", + "right": "issue:9477", + "accept": false, + "reason": "One is a missing LoRA key during loading; the other is a GatheredParameters callable error. Different failure modes." + }, + { + "left": "issue:4520", + "right": "issue:5028", + "accept": false, + "reason": "Both touch LoRA/scale wording, but one is an attention slicing compatibility bug and the other is an unexpected keyword in an SDXL reference pipeline; not duplicates." + }, + { + "left": "issue:7722", + "right": "issue:9495", + "accept": false, + "reason": "Both involve advanced adapter/control features, but they are different pipeline combinations and different runtime errors." + }, + { + "left": "issue:12540", + "right": "issue:13073", + "accept": false, + "reason": "Both mention Sana/ZImage guidance, but one says the embeddings do not work with SanaPipeline while the other is specifically about guidance_scale>1 in a controlnet pipeline." + }, + { + "left": "issue:11973", + "right": "issue:9936", + "accept": false, + "reason": "One is a missing CLI argument in a training script; the other is an NCCL timeout in multi-GPU ControlNet training. Unrelated." + }, + { + "left": "issue:2988", + "right": "issue:590", + "accept": false, + "reason": "Scheduler names overlap, but one is a crash at equal step counts and the other is a Karras noise-level formula typo." + }, + { + "left": "issue:3391", + "right": "issue:4557", + "accept": false, + "reason": "A super-resolution overexposure bug is unrelated to a __getattr__ AttributeError." + }, + { + "left": "issue:2560", + "right": "issue:3908", + "accept": false, + "reason": "Both mention generated output differences, but one is about list-of-generators determinism and the other is Streamlit model caching." + }, + { + "left": "issue:10128", + "right": "issue:7428", + "accept": false, + "reason": "A request for fastercache support is not the same as a general question about layer diffusion support." + }, + { + "left": "issue:10144", + "right": "issue:7773", + "accept": false, + "reason": "Mochi video quality vs Stable Video Diffusion batch-size bug are different models and different issues." + }, + { + "left": "issue:10591", + "right": "issue:12905", + "accept": false, + "reason": "SD3 LoRA training script concerns are unrelated to Z_Image guidance-scale implementation." + }, + { + "left": "issue:10653", + "right": "issue:11833", + "accept": false, + "reason": "One is a bitsandbytes .to(cpu) limitation on a transformer model; the other is a KeyError in set_lora_device after loading. Different bugs." + }, + { + "left": "issue:1082", + "right": "issue:4839", + "accept": false, + "reason": "A CUDA CUBLAS matmul failure in DreamBooth is not the same as a type error around lora_scale." + }, + { + "left": "issue:11000", + "right": "issue:12620", + "accept": false, + "reason": "Missing shift argument in a pipeline call is unrelated to missing release assets." + }, + { + "left": "issue:11486", + "right": "issue:8589", + "accept": false, + "reason": "Both are training-script topics, but one requests enabling xformers attention and the other is prior-preservation support in SD3 DreamBooth." + }, + { + "left": "issue:1249", + "right": "issue:967", + "accept": false, + "reason": "Different ONNX/scheduler incompatibility errors with different call sites and symptoms." + }, + { + "left": "issue:1704", + "right": "issue:1992", + "accept": false, + "reason": "A general attention-block question and a JAX attention refactor discussion are related only by topic, not by a concrete bug." + }, + { + "left": "issue:3176", + "right": "issue:6359", + "accept": false, + "reason": "TensorRT demo error and EulerDiscreteScheduler velocity/add_noise error are unrelated." + }, + { + "left": "issue:3887", + "right": "issue:8637", + "accept": false, + "reason": "A generic SD pipeline output difference is not the same as an import failure for PixArtSigmaPipeline." + }, + { + "left": "issue:4542", + "right": "issue:6548", + "accept": false, + "reason": "Both concern img2img output handling, but one is an image-count limitation and the other is RGBA images being mistreated as latents." + }, + { + "left": "issue:4680", + "right": "issue:6529", + "accept": false, + "reason": "SDXL inpainting fine-tuning and Fooocus inpaint are distinct feature requests/issues, not the same defect." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 246, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10231", + "issue:10287", + "issue:1185", + "issue:12633", + "issue:1274", + "issue:13243", + "issue:1574", + "issue:1730", + "issue:1896", + "issue:2068", + "issue:2306", + "issue:2775", + "issue:2784", + "issue:2985", + "issue:3363", + "issue:3420", + "issue:3584", + "issue:3591", + "issue:3765", + "issue:3769", + "issue:3915", + "issue:4471", + "issue:4480", + "issue:4702", + "issue:4747", + "issue:4841", + "issue:4913", + "issue:4964", + "issue:5226", + "issue:5390", + "issue:5412", + "issue:5480", + "issue:5546", + "issue:5570", + "issue:5628", + "issue:5689", + "issue:5714", + "issue:5989", + "issue:6068", + "issue:6234", + "issue:6593", + "issue:6598", + "issue:7368", + "issue:7490", + "issue:7665", + "issue:7836", + "issue:8994", + "issue:9933" + ], + "soft_pairs": [ + "issue:4702|issue:7368", + "issue:4841|issue:6234", + "issue:4964|issue:5390", + "issue:5226|issue:6593", + "issue:5689|issue:6068", + "issue:5989|issue:7836", + "issue:6598|issue:9933", + "issue:3363|issue:3584", + "issue:2775|issue:5570", + "issue:5546|issue:5628", + "issue:1274|issue:1896", + "issue:10231|issue:10287", + "issue:2306|issue:4747", + "issue:1185|issue:1730", + "issue:3765|issue:3769", + "issue:3420|issue:3915", + "issue:7490|issue:7665", + "issue:12633|issue:13243", + "issue:4480|issue:8994", + "issue:1574|issue:5412", + "issue:2068|issue:3591", + "issue:2784|issue:5480", + "issue:2985|issue:4913", + "issue:4471|issue:5714" + ], + "prepared_review_unit_hash": "f9307419abcfaf6f14521bf9a93dfc799e71ccc3f5b5ea5d221f857511e6773b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33606, + "estimated_input_tokens": 8402, + "estimated_eval_tokens": 17060 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a loose collection of unrelated issues, mostly about different pipelines, schedulers, training examples, or environment-specific failures. None of the soft pairs look like the same underlying bug/change strongly enough to merge.", + "confidence": 0.96, + "canonical_issue_reason": "No clear canonical issue: the items span many unrelated reports and feature requests rather than one duplicate cluster.", + "canonical_pr_reason": "No PRs are present in the input, so there is no canonical PR candidate.", + "best_issue_reason": "No single issue is a strong global representative; the set does not form one coherent duplicate family.", + "best_pr_reason": "No PRs present, so none can be selected as a representative PR.", + "soft_edge_verdicts": [ + { + "left": "issue:4702", + "right": "issue:7368", + "accept": false, + "reason": "Both are training-example requests, but they ask for different examples/models and do not describe the same bug or change." + }, + { + "left": "issue:4841", + "right": "issue:6234", + "accept": false, + "reason": "Both mention example/pipeline problems, but one is a ControlNet image-size issue and the other is an SDXL training script problem." + }, + { + "left": "issue:4964", + "right": "issue:5390", + "accept": false, + "reason": "One is about converting SDXL models; the other is about unwanted text-encoder downloads with local_files_only. Different failures." + }, + { + "left": "issue:5226", + "right": "issue:6593", + "accept": false, + "reason": "Both involve LoRA support in SDXL pipelines, but they target different pipeline classes and read as separate feature gaps." + }, + { + "left": "issue:5689", + "right": "issue:6068", + "accept": false, + "reason": "Both concern scheduler/image quality behavior, but they are different schedulers with different symptoms and likely different code paths." + }, + { + "left": "issue:5989", + "right": "issue:7836", + "accept": false, + "reason": "Completely different topics: a safetensors bug versus CLIP training overfitting." + }, + { + "left": "issue:6598", + "right": "issue:9933", + "accept": false, + "reason": "An img2img reproducibility complaint is not the same as a missing width/height parameter in SD3 img2img." + }, + { + "left": "issue:3363", + "right": "issue:3584", + "accept": false, + "reason": "Both are DreamBooth-related, but one is a LoRA training script failure and the other is a tutorial failure; not the same concrete bug." + }, + { + "left": "issue:2775", + "right": "issue:5570", + "accept": false, + "reason": "Unrelated failures in different areas: torch.compile/dynamo versus a missing compute_snr helper." + }, + { + "left": "issue:5546", + "right": "issue:5628", + "accept": false, + "reason": "Both mention Karras sigmas and step-count offsets, but they involve different scheduler behaviors and are not clearly the same bug." + }, + { + "left": "issue:1274", + "right": "issue:1896", + "accept": false, + "reason": "A num_images_per_prompt failure in SD pipelines is unrelated to a CLIP-guided Stable Diffusion size/type error." + }, + { + "left": "issue:10231", + "right": "issue:10287", + "accept": false, + "reason": "One is a specific Ubuntu diffusers ImportError; the other is a vague documentation example issue, not the same bug." + }, + { + "left": "issue:2306", + "right": "issue:4747", + "accept": false, + "reason": "An INT_MAX error and a missing model_index.json error are different runtime failures." + }, + { + "left": "issue:1185", + "right": "issue:1730", + "accept": false, + "reason": "DreamBooth reproducibility and a CKPT conversion/webui compatibility problem are different issues." + }, + { + "left": "issue:3765", + "right": "issue:3769", + "accept": false, + "reason": "Both describe image artifact problems, but one is ControlNet training stacking effects and the other is a panorama pipeline quartered image output." + }, + { + "left": "issue:3420", + "right": "issue:3915", + "accept": false, + "reason": "Different pipeline families and different failures: ControlNet inpaint integration versus torch.compile on text-to-video." + }, + { + "left": "issue:7490", + "right": "issue:7665", + "accept": false, + "reason": "A generic backward-pass problem is not the same as an instruct_pix2pix pipeline issue." + }, + { + "left": "issue:12633", + "right": "issue:13243", + "accept": false, + "reason": "Both are scheduler timestep-logic bugs, but they affect different schedulers and different list/shift calculations." + }, + { + "left": "issue:4480", + "right": "issue:8994", + "accept": false, + "reason": "A Mac MPS float16 crash is unrelated to generation steps getting stuck at 0." + }, + { + "left": "issue:1574", + "right": "issue:5412", + "accept": false, + "reason": "Both are DreamBooth training failures, but one is a bare-metal GPU/resource issue and the other is resume_from_checkpoint behavior in SDXL LoRA training." + }, + { + "left": "issue:2068", + "right": "issue:3591", + "accept": false, + "reason": "A dtype conversion issue in from_pretrained is unrelated to ControlNet loss-curve confusion." + }, + { + "left": "issue:2784", + "right": "issue:5480", + "accept": false, + "reason": "Different feature requests: DreamBooth for text2video versus implementing EDM." + }, + { + "left": "issue:2985", + "right": "issue:4913", + "accept": false, + "reason": "A Kandinsky 2.1 request and a ControlNet OpenPose SDXL request are separate model additions." + }, + { + "left": "issue:4471", + "right": "issue:5714", + "accept": false, + "reason": "LoRA loading on SDXL Img2Img and PeftModel support in maybe_raise_or_warn are different code paths and not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 247, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10311", + "issue:1082", + "issue:1161", + "issue:11659", + "issue:11700", + "issue:13311", + "issue:2213", + "issue:2614", + "issue:2772", + "issue:2891", + "issue:3019", + "issue:3040", + "issue:3113", + "issue:3381", + "issue:3584", + "issue:3699", + "issue:3728", + "issue:3954", + "issue:4314", + "issue:4353", + "issue:4354", + "issue:4578", + "issue:4753", + "issue:4880", + "issue:5128", + "issue:5205", + "issue:5567", + "issue:5619", + "issue:5763", + "issue:5905", + "issue:5925", + "issue:5931", + "issue:6112", + "issue:6201", + "issue:6616", + "issue:692", + "issue:7370", + "issue:7661", + "issue:7922", + "issue:7946", + "issue:7974", + "issue:8495", + "issue:8537", + "issue:8742", + "issue:898", + "issue:9224", + "issue:9331", + "issue:9610" + ], + "soft_pairs": [ + "issue:5905|issue:5925", + "issue:3040|issue:4880", + "issue:11700|issue:9610", + "issue:5619|issue:6201", + "issue:5567|issue:9331", + "issue:10311|issue:8742", + "issue:7661|issue:7974", + "issue:8537|issue:9224", + "issue:2891|issue:3381", + "issue:2772|issue:5128", + "issue:3954|issue:4753", + "issue:4353|issue:5931", + "issue:11659|issue:13311", + "issue:2213|issue:898", + "issue:4354|issue:7946", + "issue:7922|issue:8495", + "issue:1082|issue:3584", + "issue:1161|issue:692", + "issue:2614|issue:4314", + "issue:3019|issue:5205", + "issue:3113|issue:6616", + "issue:3699|issue:5763", + "issue:3728|issue:7370", + "issue:4578|issue:6112" + ], + "prepared_review_unit_hash": "32f73cb6876c526054fe0e364c50898b0f6ce224f08b3db0794922f08568fc87", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34047, + "estimated_input_tokens": 8512, + "estimated_eval_tokens": 17280 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a heterogeneous cluster of mostly unrelated diffusers issues and feature requests. The soft pairs share broad keywords (DreamBooth, LoRA, loading, pipelines, TPU, docs) but do not look like the same underlying bug/change. No PRs are present.", + "confidence": 0.58, + "canonical_issue_reason": "issue:6201 is the most concrete, self-contained code-path bug in the set and the best representative for triage, even though the cluster overall is not a true duplicate group.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6201 is open, actionable, and has a specific pipeline failure mode, making it the most suitable issue to surface as the cluster's best representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5905", + "right": "issue:5925", + "accept": false, + "reason": "Both are feature requests, but one asks for diffusion-GAN and the other for ZipLoRA; different changes and not the same request." + }, + { + "left": "issue:3040", + "right": "issue:4880", + "accept": false, + "reason": "Different failures in different pipelines: docs-copy-paste AttributeError vs ControlNet image type validation." + }, + { + "left": "issue:11700", + "right": "issue:9610", + "accept": false, + "reason": "Both touch loading workflows, but one is a Pruna/from_pretrained integration request and the other is adding load_lora_weights to an SD3 img2img pipeline." + }, + { + "left": "issue:5619", + "right": "issue:6201", + "accept": false, + "reason": "Both mention encode behavior, but they affect different code paths and have different symptoms in different pipelines." + }, + { + "left": "issue:5567", + "right": "issue:9331", + "accept": false, + "reason": "Unrelated bugs: accelerator.prepare overwriting unet.config vs a scheduler index_for_timestep problem." + }, + { + "left": "issue:10311", + "right": "issue:8742", + "accept": false, + "reason": "Both are import-related, but they refer to different classes/modules and different breakages." + }, + { + "left": "issue:7661", + "right": "issue:7974", + "accept": false, + "reason": "Both involve IP-Adapter, but one is about constructing an AnimateDiff pipeline and the other is an inpaint-specific bug; not the same concrete fix." + }, + { + "left": "issue:8537", + "right": "issue:9224", + "accept": false, + "reason": "Different platform/version errors: missing torch.float8_e4m3fn in SD3 loading vs unsupported torch.float64 on Metal." + }, + { + "left": "issue:2891", + "right": "issue:3381", + "accept": false, + "reason": "Different pipeline bugs; one is a docs mismatch about embeds support, the other is an inpaint batch color/output issue." + }, + { + "left": "issue:2772", + "right": "issue:5128", + "accept": false, + "reason": "Both concern loading/local data, but one blocks local datasets in train_controlnet.py while the other is a single-file .safetensors XLPipeline loading error." + }, + { + "left": "issue:3954", + "right": "issue:4753", + "accept": false, + "reason": "Different training problems: multi-GPU scheduler step count vs an unspecified issue in train_dreambooth_lora.py." + }, + { + "left": "issue:4353", + "right": "issue:5931", + "accept": false, + "reason": "Both affect image generation quality, but one is SDXL output quality and the other is nondeterminism in StableDiffusionPipeline." + }, + { + "left": "issue:11659", + "right": "issue:13311", + "accept": false, + "reason": "The second is a specific Flux2 LoRA prefix/key mismatch; the first is too generic to establish the same underlying bug." + }, + { + "left": "issue:2213", + "right": "issue:898", + "accept": false, + "reason": "Both are TPU-related, but one is a distributed hang and the other is a bfloat16 scalar type exception." + }, + { + "left": "issue:4354", + "right": "issue:7946", + "accept": false, + "reason": "Different loading issues: incorrect return type from from_single_file vs custom_pipeline caching." + }, + { + "left": "issue:7922", + "right": "issue:8495", + "accept": false, + "reason": "Different model/loading failures: missing ORTStableDiffusionXLPipeline attribute vs SD3 tokenizer enum parsing error." + }, + { + "left": "issue:1082", + "right": "issue:3584", + "accept": false, + "reason": "Both mention DreamBooth, but one is a CUDA matmul crash and the other is a tutorial failure; not the same defect." + }, + { + "left": "issue:1161", + "right": "issue:692", + "accept": false, + "reason": "One is a model conversion request and the other is a general fine-tuning example question; unrelated." + }, + { + "left": "issue:2614", + "right": "issue:4314", + "accept": false, + "reason": "Both involve downloads, but one is about changing the cache/download directory and the other about interrupted downloads creating write-protected files." + }, + { + "left": "issue:3019", + "right": "issue:5205", + "accept": false, + "reason": "Different feature ideas in different editing/control workflows; too broad to be the same change." + }, + { + "left": "issue:3113", + "right": "issue:6616", + "accept": false, + "reason": "Both are guidance-related, but cross-attention layout control and classifier guidance are distinct features." + }, + { + "left": "issue:3699", + "right": "issue:5763", + "accept": false, + "reason": "Completely different problems: CUDA-on-OSX runtime error vs safetensors save_pretrained behavior." + }, + { + "left": "issue:3728", + "right": "issue:7370", + "accept": false, + "reason": "Both request new pipelines, but they target different models and tasks (Shifted Diffusion vs OpenSora STDiT)." + }, + { + "left": "issue:4578", + "right": "issue:6112", + "accept": false, + "reason": "Docs mentioning VAE usage and SDXL-turbo noisy output are unrelated symptoms with no shared fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 248, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10204", + "issue:10800", + "issue:11307", + "issue:11436", + "issue:11489", + "issue:11569", + "issue:11651", + "issue:11885", + "issue:1207", + "issue:12175", + "issue:12334", + "issue:12501", + "issue:13067", + "issue:1367", + "issue:2495", + "issue:2669", + "issue:2763", + "issue:2799", + "issue:2905", + "issue:3045", + "issue:3174", + "issue:3218", + "issue:3233", + "issue:3583", + "issue:3960", + "issue:4349", + "issue:487", + "issue:5009", + "issue:5026", + "issue:5205", + "issue:5334", + "issue:5371", + "issue:5578", + "issue:5710", + "issue:590", + "issue:6232", + "issue:7185", + "issue:725", + "issue:7389", + "issue:7600", + "issue:7841", + "issue:801", + "issue:8759", + "issue:917", + "issue:938", + "issue:9858", + "issue:9946", + "issue:9953" + ], + "soft_pairs": [ + "issue:5205|issue:938", + "issue:5334|issue:7600", + "issue:2799|issue:917", + "issue:11651|issue:11885", + "issue:3174|issue:3960", + "issue:5578|issue:7841", + "issue:5710|issue:6232", + "issue:11569|issue:13067", + "issue:1367|issue:590", + "issue:5009|issue:7389", + "issue:5026|issue:7185", + "issue:1207|issue:2669", + "issue:10204|issue:12175", + "issue:11489|issue:9858", + "issue:2905|issue:725", + "issue:10800|issue:8759", + "issue:3045|issue:3233", + "issue:12501|issue:9953", + "issue:12334|issue:9946", + "issue:2763|issue:3218", + "issue:487|issue:801", + "issue:11307|issue:11436", + "issue:2495|issue:4349", + "issue:3583|issue:5371" + ], + "prepared_review_unit_hash": "46dfcce9e376daa1412622b3dcbb9eb060546c6e03d52ccf1f19565489336ded", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33782, + "estimated_input_tokens": 8446, + "estimated_eval_tokens": 17148 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated issues that were only weakly grouped by title similarity. The only plausible duplicate pair is the FLUX LoRA loading failures (11651/11885), which both point to the same LoRA loading path in FLUX.", + "confidence": 0.69, + "canonical_issue_reason": "Issue 11885 is the best representative of the cluster\u2019s only plausible duplicate thread: it names the concrete code path (`load_lora_weights`) and the FLUX.1 context, which is broader and more reusable than the specific FluxControl failure in 11651.", + "canonical_pr_reason": null, + "best_issue_reason": "11885 is the strongest global issue candidate because it is the clearest, most code-path-specific report in the only near-duplicate pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5205", + "right": "issue:938", + "accept": false, + "reason": "Different pipelines and different problem domains; only superficial model/pipeline wording overlaps." + }, + { + "left": "issue:5334", + "right": "issue:7600", + "accept": false, + "reason": "Both mention training accumulation, but one is about Accelerate API behavior and the other is a DreamBooth-specific omission." + }, + { + "left": "issue:2799", + "right": "issue:917", + "accept": false, + "reason": "Different failure modes: checkpoint/pipeline mismatch vs ONNX inpainting error." + }, + { + "left": "issue:11651", + "right": "issue:11885", + "accept": true, + "reason": "Both describe FLUX LoRA loading failures on the same underlying `load_lora_weights` path; the second is the broader/generalized version of the first." + }, + { + "left": "issue:3174", + "right": "issue:3960", + "accept": false, + "reason": "Both involve LoRA-related loading issues, but they concern different bugs and different symptoms." + }, + { + "left": "issue:5578", + "right": "issue:7841", + "accept": false, + "reason": "Completely unrelated errors; no shared code path or concrete behavior." + }, + { + "left": "issue:5710", + "right": "issue:6232", + "accept": false, + "reason": "Same scheduler family, but distinct bugs (`sigmas` initialization vs `add_noise` behavior) and not clearly the same fix." + }, + { + "left": "issue:11569", + "right": "issue:13067", + "accept": false, + "reason": "A feature request for a specific model repo is not the same as a generic feature request to add model support." + }, + { + "left": "issue:1367", + "right": "issue:590", + "accept": false, + "reason": "Both scheduler-related, but one is about saving config with custom betas while the other is a noise-formula typo." + }, + { + "left": "issue:5009", + "right": "issue:7389", + "accept": false, + "reason": "Different models and different errors; no shared underlying bug." + }, + { + "left": "issue:5026", + "right": "issue:7185", + "accept": false, + "reason": "`text_encoder` KeyError is unrelated to a PyTorch version support question." + }, + { + "left": "issue:1207", + "right": "issue:2669", + "accept": false, + "reason": "Both are generic Python/runtime errors, but the symbols and failure causes are unrelated." + }, + { + "left": "issue:10204", + "right": "issue:12175", + "accept": false, + "reason": "Both complain about image quality, but they involve different models and different symptom patterns." + }, + { + "left": "issue:11489", + "right": "issue:9858", + "accept": false, + "reason": "Training LoRA error and a `KeyError: 'train'` report are not the same bug." + }, + { + "left": "issue:2905", + "right": "issue:725", + "accept": false, + "reason": "Scheduler math change vs pipeline loading/memory-device mapping are unrelated." + }, + { + "left": "issue:10800", + "right": "issue:8759", + "accept": false, + "reason": "Quantization/offload dtype issue is unrelated to an image postprocessing warning." + }, + { + "left": "issue:3045", + "right": "issue:3233", + "accept": false, + "reason": "Both mention LoRA conversion, but one is about converting weights to diffusers and the other to safetensors; different tasks and likely different code paths." + }, + { + "left": "issue:12501", + "right": "issue:9953", + "accept": false, + "reason": "Graph break in VAE decoder and quantized pipeline-to-cuda error are separate runtime issues." + }, + { + "left": "issue:12334", + "right": "issue:9946", + "accept": false, + "reason": "Both mention xformers/attention, but the reported problems are not the same code-path failure." + }, + { + "left": "issue:2763", + "right": "issue:3218", + "accept": false, + "reason": "Different performance/regression areas: ControlNet VRAM usage vs graph breaks in attention modules." + }, + { + "left": "issue:487", + "right": "issue:801", + "accept": false, + "reason": "Both are old inpainting/attention issues, but the symptoms and likely fixes are different." + }, + { + "left": "issue:11307", + "right": "issue:11436", + "accept": false, + "reason": "Both concern HiDream, but one is block-level group offloading and the other is a dtype mismatch at inference." + }, + { + "left": "issue:2495", + "right": "issue:4349", + "accept": false, + "reason": "Different pipelines and different failure contexts; not the same bug." + }, + { + "left": "issue:3583", + "right": "issue:5371", + "accept": false, + "reason": "Both are feature requests, but one is broad pipeline support and the other is a specific BLIP inpainting pipe request." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary stays grounded in the packet: most pairs are only weak title-similarity matches and the analyst\u2019s rejects are conservative. The single accepted pair, 11651/11885, is plausible from the titles alone because both concern FLUX LoRA loading on the `load_lora_weights` path. No clear overstatement beyond the available evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 249, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1033", + "issue:10869", + "issue:12501", + "issue:12610", + "issue:12752", + "issue:1284", + "issue:13430", + "issue:1802", + "issue:1925", + "issue:2370", + "issue:2392", + "issue:2780", + "issue:2908", + "issue:3451", + "issue:3461", + "issue:3974", + "issue:4069", + "issue:4086", + "issue:4213", + "issue:4263", + "issue:4264", + "issue:4305", + "issue:4480", + "issue:5108", + "issue:5368", + "issue:5557", + "issue:5997", + "issue:6242", + "issue:6392", + "issue:6393", + "issue:6790", + "issue:7197", + "issue:7199", + "issue:7333", + "issue:7438", + "issue:7509", + "issue:7574", + "issue:8274", + "issue:8410", + "issue:8485", + "issue:8535", + "issue:8539", + "issue:8708", + "issue:8744", + "issue:9101", + "issue:967", + "issue:9792", + "issue:9895" + ], + "soft_pairs": [ + "issue:4069|issue:4263", + "issue:4213|issue:6393", + "issue:4264|issue:8708", + "issue:6242|issue:9792", + "issue:6392|issue:6790", + "issue:7333|issue:7509", + "issue:8485|issue:9101", + "issue:3451|issue:3461", + "issue:1802|issue:967", + "issue:1925|issue:2908", + "issue:1033|issue:2392", + "issue:7199|issue:8274", + "issue:1284|issue:4305", + "issue:10869|issue:9895", + "issue:8535|issue:8539", + "issue:12752|issue:13430", + "issue:3974|issue:8410", + "issue:4086|issue:5108", + "issue:7197|issue:7574", + "issue:4480|issue:7438", + "issue:5368|issue:5557", + "issue:5997|issue:8744", + "issue:12501|issue:12610", + "issue:2370|issue:2780" + ], + "prepared_review_unit_hash": "7d6ce72b6f4447d0adfaa458d506824d7bd1818fff9d02160705662750239766", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33979, + "estimated_input_tokens": 8495, + "estimated_eval_tokens": 17246 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated Diffusers issues spanning different pipelines, models, and error modes. The soft pairs share broad subsystem language, but they do not describe the same underlying bug or change, so all soft edges should be rejected.", + "confidence": 0.81, + "canonical_issue_reason": "issue:12610 is the clearest current bug report with a concrete runtime error and enough context to be actionable; most other items are either older, narrower, or unrelated feature requests.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12610 is the best representative issue in this set because it is open, specific, and has a direct failure mode, while the rest are largely unrelated or less actionable.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4069", + "right": "issue:4263", + "accept": false, + "reason": "Both involve unloading something from a pipeline, but one is textual inversion and the other is LoRA unloading; different code paths and bugs." + }, + { + "left": "issue:4213", + "right": "issue:6393", + "accept": false, + "reason": "Both mention from_single_file, but one is an accelerate dependency issue and the other is private HF download/auth failure; not the same defect." + }, + { + "left": "issue:4264", + "right": "issue:8708", + "accept": false, + "reason": "One is missing SDXL example images, the other is a missing SD3 config field in dreambooth examples; both are docs/examples, but not the same issue." + }, + { + "left": "issue:6242", + "right": "issue:9792", + "accept": false, + "reason": "A request for a log and a dataset cache-mapping failure are not the same bug or change." + }, + { + "left": "issue:6392", + "right": "issue:6790", + "accept": false, + "reason": "Custom LoRA loading failure and LCM training state_dict key mismatch are distinct loading/training problems." + }, + { + "left": "issue:7333", + "right": "issue:7509", + "accept": false, + "reason": "These are different research pipelines/papers with different functionality; not duplicate reports." + }, + { + "left": "issue:8485", + "right": "issue:9101", + "accept": false, + "reason": "SD3 LoRA support and an InstructPix2Pix training script for SD3 are separate feature requests." + }, + { + "left": "issue:3451", + "right": "issue:3461", + "accept": false, + "reason": "Both concern training performance/memory, but one is a fp16 memory regression and the other is a dreambooth speed/vRAM comparison." + }, + { + "left": "issue:1802", + "right": "issue:967", + "accept": false, + "reason": "Unet encoder_hidden_states handling and ONNX scheduler incompatibility are unrelated failures." + }, + { + "left": "issue:1925", + "right": "issue:2908", + "accept": false, + "reason": "Both mention mixed precision, but one is inpainting half-precision failure and the other is ControlNet training script shape/dtype issues." + }, + { + "left": "issue:1033", + "right": "issue:2392", + "accept": false, + "reason": "A stable_diffusion_mega IndexError and an img2img prompt_embeds validation error are different pipeline bugs." + }, + { + "left": "issue:7199", + "right": "issue:8274", + "accept": false, + "reason": "These are separate video/multi-view research pipelines, not the same underlying issue." + }, + { + "left": "issue:1284", + "right": "issue:4305", + "accept": false, + "reason": "Longer sample time with larger batches and a torch.compile graph break are unrelated performance/compiler problems." + }, + { + "left": "issue:10869", + "right": "issue:9895", + "accept": false, + "reason": "Meta tensor .item() failures and FluxPipeline CPU/GPU device mismatch are different runtime issues." + }, + { + "left": "issue:8535", + "right": "issue:8539", + "accept": false, + "reason": "Both are SD3-related, but xformers attention enablement and cross-attention setting errors are different features and failure modes." + }, + { + "left": "issue:12752", + "right": "issue:13430", + "accept": false, + "reason": "Both are image-editing requests, but they target different models and pipelines; not the same change." + }, + { + "left": "issue:3974", + "right": "issue:8410", + "accept": false, + "reason": "Missing safetensors support in a ControlNet inpaint pipeline and adding native TextDiffuser support are unrelated tasks." + }, + { + "left": "issue:4086", + "right": "issue:5108", + "accept": false, + "reason": "Both touch SDXL training, but they describe different pipeline failures: ControlNet training vs Multiadapter exceptions." + }, + { + "left": "issue:7197", + "right": "issue:7574", + "accept": false, + "reason": "Different KeyError values from different training/loading paths; not the same bug." + }, + { + "left": "issue:4480", + "right": "issue:7438", + "accept": false, + "reason": "MPS fp16 kernel crashes on Mac and XPU generation stalls are unrelated device-specific issues." + }, + { + "left": "issue:5368", + "right": "issue:5557", + "accept": false, + "reason": "A dtype mismatch in fp16 training and an unexpected keyword argument error are not the same defect." + }, + { + "left": "issue:5997", + "right": "issue:8744", + "accept": false, + "reason": "Tutorial model-type mismatch and a request to use from_single_file in advanced training are separate issues." + }, + { + "left": "issue:12501", + "right": "issue:12610", + "accept": false, + "reason": "A VAE decoder graph break from iterating an iterator and a device mismatch under Quanto + group offload are different code-path problems." + }, + { + "left": "issue:2370", + "right": "issue:2780", + "accept": false, + "reason": "A question about LoRA training feasibility and an FP16 gradient unscale error are not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 250, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10470", + "issue:10658", + "issue:10767", + "issue:10967", + "issue:11144", + "issue:11307", + "issue:11437", + "issue:11687", + "issue:12157", + "issue:12645", + "issue:1407", + "issue:1704", + "issue:2616", + "issue:2644", + "issue:2646", + "issue:2661", + "issue:2662", + "issue:2783", + "issue:2843", + "issue:3279", + "issue:3350", + "issue:3379", + "issue:3406", + "issue:3418", + "issue:3454", + "issue:3698", + "issue:4229", + "issue:460", + "issue:4727", + "issue:5043", + "issue:5062", + "issue:5368", + "issue:5395", + "issue:6250", + "issue:6321", + "issue:6858", + "issue:6879", + "issue:6958", + "issue:8594", + "issue:8837", + "issue:8880", + "issue:905", + "issue:9109", + "issue:9138", + "issue:9227", + "issue:9291", + "issue:9361", + "issue:9558" + ], + "soft_pairs": [ + "issue:2783|issue:3698", + "issue:2646|issue:6250", + "issue:10767|issue:10967", + "issue:2616|issue:2843", + "issue:3379|issue:6321", + "issue:5368|issue:6879", + "issue:11307|issue:9227", + "issue:2644|issue:3454", + "issue:5395|issue:8837", + "issue:10658|issue:11687", + "issue:11437|issue:9558", + "issue:1407|issue:460", + "issue:1704|issue:5062", + "issue:2661|issue:3279", + "issue:2662|issue:3279", + "issue:3406|issue:6958", + "issue:3418|issue:5043", + "issue:3698|issue:905", + "issue:6858|issue:9138", + "issue:12157|issue:12645", + "issue:9291|issue:9361", + "issue:10470|issue:8880", + "issue:4229|issue:8594", + "issue:11144|issue:9109", + "issue:3350|issue:4727" + ], + "prepared_review_unit_hash": "14a74fe978447b3c79da5800d15b1d7ceffca52f2e1c2573f86f660c96bd8d22", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33857, + "estimated_input_tokens": 8465, + "estimated_eval_tokens": 17186 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the pairs only share superficial wording (training, checkpointing, Flux, dtype, etc.) but point to different code paths, models, and feature requests. I rejected all soft edges and treated them as non-duplicates.", + "confidence": 0.9, + "canonical_issue_reason": "Issue 6858 is the clearest standalone bug report in the set: it has a specific training failure, an explicit traceback, and enough context to triage. The rest of the cluster mixes unrelated questions, feature requests, and different failures.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6858 is the most actionable issue to keep as the cluster representative because it describes a concrete, reproducible defect rather than a broad request or a vague question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2783", + "right": "issue:3698", + "accept": false, + "reason": "Different requests: create an img2img/inpainting controlnet pipeline vs convert an inpainting model to diffusers." + }, + { + "left": "issue:2646", + "right": "issue:6250", + "accept": false, + "reason": "Both are VAE-related, but one is a tiled-VAE IndexError and the other is an SDXL single-file loading KeyError." + }, + { + "left": "issue:10767", + "right": "issue:10967", + "accept": false, + "reason": "Different model integration requests: FlashVideo/Diffusers vs LaVie/Cinemo integration." + }, + { + "left": "issue:2616", + "right": "issue:2843", + "accept": false, + "reason": "Different checkpoint/save paths: save_attn_procs NoneType.replace error vs multi-GPU checkpoint saving request." + }, + { + "left": "issue:3379", + "right": "issue:6321", + "accept": false, + "reason": "Unrelated failures: intermediate checkpoint loading vs CLIP model detection." + }, + { + "left": "issue:5368", + "right": "issue:6879", + "accept": false, + "reason": "Both are dtype mismatch errors, but they affect different workflows and code paths; not the same bug." + }, + { + "left": "issue:11307", + "right": "issue:9227", + "accept": false, + "reason": "Different problems: group offloading at block level vs Flux Dreambooth training on FLUX.1-dev." + }, + { + "left": "issue:2644", + "right": "issue:3454", + "accept": false, + "reason": "One is a multi-GPU support question and the other is a training script compatibility break on latest versions." + }, + { + "left": "issue:5395", + "right": "issue:8837", + "accept": false, + "reason": "Different subsystems: PEFT LoRA merging bug vs SlicedAttnProcessor bug." + }, + { + "left": "issue:10658", + "right": "issue:11687", + "accept": false, + "reason": "Different artifacts entirely: API feature request for onnxruntime vs docs addition for pruna." + }, + { + "left": "issue:11437", + "right": "issue:9558", + "accept": false, + "reason": "Both concern training/validation output, but one is missing files and the other is black TensorBoard images." + }, + { + "left": "issue:1407", + "right": "issue:460", + "accept": false, + "reason": "Different ONNX issues: feature_extractor validation error vs cpu onnxruntime dependency selection." + }, + { + "left": "issue:1704", + "right": "issue:5062", + "accept": false, + "reason": "A general attention-block question is not the same as a specific typo fix in attention code." + }, + { + "left": "issue:2661", + "right": "issue:3279", + "accept": false, + "reason": "Checkpoint save write error and checkpoint resume error are related only broadly; they are different failure modes." + }, + { + "left": "issue:2662", + "right": "issue:3279", + "accept": false, + "reason": "Same as above: save-time write error vs resume-from-checkpoint error are not the same underlying bug." + }, + { + "left": "issue:3406", + "right": "issue:6958", + "accept": false, + "reason": "Different model/code-path bugs: only_cross_attention behavior vs missing use_linear_projection in the motion UNet mid block." + }, + { + "left": "issue:3418", + "right": "issue:5043", + "accept": false, + "reason": "One requests adding text-encoder support to a training script, the other requests LoRA finetuning for W\u00fcrstchen." + }, + { + "left": "issue:3698", + "right": "issue:905", + "accept": false, + "reason": "Both mention inpainting, but one is model conversion and the other is a community img2img/inpainting pipeline request." + }, + { + "left": "issue:6858", + "right": "issue:9138", + "accept": false, + "reason": "Different errors: controlnet training hits a string/convert AttributeError, while this is a generic int-vs-str comparison TypeError." + }, + { + "left": "issue:12157", + "right": "issue:12645", + "accept": false, + "reason": "Unrelated Flux/Qwen-Image reports: one is a quantization-config runtime error, the other is an inference speed comparison." + }, + { + "left": "issue:9291", + "right": "issue:9361", + "accept": false, + "reason": "Both are Flux LoRA issues, but one is key compatibility and the other is no visible LoRA effect at inference." + }, + { + "left": "issue:10470", + "right": "issue:8880", + "accept": false, + "reason": "Different scope: torchao inference failure vs a version-regression inference speed slowdown." + }, + { + "left": "issue:4229", + "right": "issue:8594", + "accept": false, + "reason": "Different scripts and failures: multi-GPU accelerated training error vs tokenizer_one referenced before assignment in SD3 LoRA training." + }, + { + "left": "issue:11144", + "right": "issue:9109", + "accept": false, + "reason": "Completely different bugs: FlaxUNet dtype initialization vs missing torchvision::nms operator." + }, + { + "left": "issue:3350", + "right": "issue:4727", + "accept": false, + "reason": "Unrelated issues: animov-512x runtime errors vs local_files_only breaking auto pipelines." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 251, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10003", + "issue:10194", + "issue:10520", + "issue:1064", + "issue:10869", + "issue:11104", + "issue:11135", + "issue:12656", + "issue:1543", + "issue:1642", + "issue:1866", + "issue:2052", + "issue:2068", + "issue:2310", + "issue:2392", + "issue:2661", + "issue:2662", + "issue:2772", + "issue:2786", + "issue:3089", + "issue:3112", + "issue:3348", + "issue:337", + "issue:3951", + "issue:3984", + "issue:4086", + "issue:4403", + "issue:444", + "issue:4841", + "issue:4975", + "issue:5000", + "issue:5062", + "issue:5325", + "issue:5395", + "issue:5824", + "issue:5884", + "issue:7136", + "issue:756", + "issue:7695", + "issue:7735", + "issue:775", + "issue:7773", + "issue:8414", + "issue:8469", + "issue:8644", + "issue:8850", + "issue:929", + "issue:9599" + ], + "soft_pairs": [ + "issue:10520|issue:10869", + "issue:2310|issue:3112", + "issue:8469|issue:8850", + "issue:1543|issue:775", + "issue:1064|issue:3951", + "issue:2786|issue:3348", + "issue:2068|issue:4975", + "issue:2052|issue:2661", + "issue:2052|issue:2662", + "issue:10194|issue:9599", + "issue:3984|issue:756", + "issue:4403|issue:7695", + "issue:4841|issue:7773", + "issue:5062|issue:929", + "issue:5884|issue:7136", + "issue:11104|issue:8644", + "issue:2772|issue:2786", + "issue:10003|issue:12656", + "issue:5000|issue:5395", + "issue:5824|issue:7735", + "issue:2392|issue:5325", + "issue:11135|issue:8414", + "issue:1642|issue:3089", + "issue:1866|issue:337", + "issue:4086|issue:444" + ], + "prepared_review_unit_hash": "55b3855ffa2c2494e66686f1f50d4e1aecc1033e8fe5411781d40566383e7d29", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34160, + "estimated_input_tokens": 8540, + "estimated_eval_tokens": 17336 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No candidate pair looks like a true duplicate: the titles only overlap superficially (mostly shared diffusion/model terminology) but refer to different pipelines, models, symptoms, or feature requests.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10520", + "right": "issue:10869", + "accept": false, + "reason": "Both involve tensor/device-related failures, but one is a cuda:0 vs cpu mismatch in Sana 4K and the other is a meta-tensor .item() error; different root cause." + }, + { + "left": "issue:2310", + "right": "issue:3112", + "accept": false, + "reason": "Different features: LDM inpainting/LaMA cleaner vs multi-ControlNet inpainting." + }, + { + "left": "issue:8469", + "right": "issue:8850", + "accept": false, + "reason": "IP-Adapter face corruption is unrelated to the community pipelines mirror being broken." + }, + { + "left": "issue:1543", + "right": "issue:775", + "accept": false, + "reason": "textual_inversion revision handling is not the same as a general fp16/autocast problem." + }, + { + "left": "issue:1064", + "right": "issue:3951", + "accept": false, + "reason": "Scheduler add_noise error and UniDiffuser NaNs are different bugs in different code paths." + }, + { + "left": "issue:2786", + "right": "issue:3348", + "accept": false, + "reason": "Depth2Img numpy/transformers compatibility is unrelated to LoRA scale support with xformers." + }, + { + "left": "issue:2068", + "right": "issue:4975", + "accept": false, + "reason": "One reports from_pretrained dtype not converting the model; the other reports inefficient LoRA loading from repeated dtype queries." + }, + { + "left": "issue:2052", + "right": "issue:2661", + "accept": false, + "reason": "Checkpoint resume failure is distinct from checkpoint saving write errors." + }, + { + "left": "issue:2052", + "right": "issue:2662", + "accept": false, + "reason": "Resume-from-checkpoint and checkpoint-writing failures are different problems." + }, + { + "left": "issue:10194", + "right": "issue:9599", + "accept": false, + "reason": "Flux attention masking support is a feature request; FLUX LoRA-only finetune example is documentation/example related." + }, + { + "left": "issue:3984", + "right": "issue:756", + "accept": false, + "reason": "Class-label validation in a model config is unrelated to the tensor_format deprecation error." + }, + { + "left": "issue:4403", + "right": "issue:7695", + "accept": false, + "reason": "Half-precision LayerNorm failure and ignored ip_adapter_masks are different attention/runtime issues." + }, + { + "left": "issue:4841", + "right": "issue:7773", + "accept": false, + "reason": "ControlNet image-size handling is unrelated to Stable Video Diffusion batch-size behavior." + }, + { + "left": "issue:5062", + "right": "issue:929", + "accept": false, + "reason": "Attention processor typo and redundant sqrt computation are separate attention-block issues." + }, + { + "left": "issue:5884", + "right": "issue:7136", + "accept": false, + "reason": "IP-Adapter support across pipelines and callback_on_step_end for LDM3D are different feature additions." + }, + { + "left": "issue:11104", + "right": "issue:8644", + "accept": false, + "reason": "Both mention offload behavior, but they affect different models and failures: LTX-Video offload methods vs SD3 T5 encoder meta-tensor error." + }, + { + "left": "issue:2772", + "right": "issue:2786", + "accept": false, + "reason": "Training script local-dataset handling is unrelated to depth2img numpy input compatibility." + }, + { + "left": "issue:10003", + "right": "issue:12656", + "accept": false, + "reason": "DDIM/DDPM 1000-step scheduler bug and AuraFlow positional-embedding OOB are different model failures." + }, + { + "left": "issue:5000", + "right": "issue:5395", + "accept": false, + "reason": "LoRA fuse/unfuse regression is not the same as combining civitai LoRAs with PEFT." + }, + { + "left": "issue:5824", + "right": "issue:7735", + "accept": false, + "reason": "SDXL add_time_ids default issue and missing caption_column in training are unrelated." + }, + { + "left": "issue:2392", + "right": "issue:5325", + "accept": false, + "reason": "img2img prompt_embeds validation bug is unrelated to packaging type information distribution." + }, + { + "left": "issue:11135", + "right": "issue:8414", + "accept": false, + "reason": "These are separate new-model/pipeline proposals for different methods and tasks." + }, + { + "left": "issue:1642", + "right": "issue:3089", + "accept": false, + "reason": "ScoreSdeVeScheduler missing forward pass and DDPM scheduler bug are different scheduler issues." + }, + { + "left": "issue:1866", + "right": "issue:337", + "accept": false, + "reason": "DPMSolverSinglestepScheduler strength handling is different from img2img/text-guided inpainting issues." + }, + { + "left": "issue:4086", + "right": "issue:444", + "accept": false, + "reason": "ControlNet training on SDXL base and num_inference_steps IndexError are unrelated bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 252, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10025", + "issue:10054", + "issue:10303", + "issue:10412", + "issue:10675", + "issue:1076", + "issue:11148", + "issue:1305", + "issue:1398", + "issue:1524", + "issue:1734", + "issue:1805", + "issue:2984", + "issue:3043", + "issue:319", + "issue:3284", + "issue:3391", + "issue:3418", + "issue:3748", + "issue:3788", + "issue:4213", + "issue:4337", + "issue:4438", + "issue:4557", + "issue:4665", + "issue:4753", + "issue:4868", + "issue:5046", + "issue:5054", + "issue:5510", + "issue:5570", + "issue:5798", + "issue:6008", + "issue:6079", + "issue:6452", + "issue:6486", + "issue:660", + "issue:6783", + "issue:6967", + "issue:7370", + "issue:7460", + "issue:760", + "issue:8534", + "issue:9106", + "issue:9166", + "issue:9460", + "issue:9974" + ], + "soft_pairs": [ + "issue:4213|issue:6783", + "issue:1398|issue:760", + "issue:1524|issue:4753", + "issue:4337|issue:4665", + "issue:4557|issue:9106", + "issue:5510|issue:6079", + "issue:6486|issue:8534", + "issue:10412|issue:6967", + "issue:5798|issue:9166", + "issue:1734|issue:3284", + "issue:10025|issue:10675", + "issue:1076|issue:319", + "issue:11148|issue:9460", + "issue:2984|issue:7370", + "issue:3418|issue:6452", + "issue:3748|issue:660", + "issue:3788|issue:7370", + "issue:4438|issue:5054", + "issue:10303|issue:7460", + "issue:1305|issue:5046", + "issue:1805|issue:3043", + "issue:3391|issue:4868", + "issue:5570|issue:6008", + "issue:10054|issue:9974" + ], + "prepared_review_unit_hash": "c796d8186b63ac3cdc91ced2865d99d0b0bb3ee429ffe91ec194bbfb646ec019", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33335, + "estimated_input_tokens": 8334, + "estimated_eval_tokens": 16924 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated issues across Flux, SDXL, DreamBooth, ControlNet, PEFT, MPS, and feature requests. All proposed soft pairs are weak lexical matches only and should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue is canonical here; the items are heterogeneous and do not share one underlying bug or request.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative for duplicate triage because the cluster spans many distinct code paths and product areas.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4213", + "right": "issue:6783", + "accept": false, + "reason": "Different problems: SDXL from_single_file/accelerate loading vs PixArt-XL-2 corrupted generations." + }, + { + "left": "issue:1398", + "right": "issue:760", + "accept": false, + "reason": "Both mention MPS, but one is SD2 on Apple Silicon and the other is a StableDiffusionPipeline output issue in an older version." + }, + { + "left": "issue:1524", + "right": "issue:4753", + "accept": false, + "reason": "Different training scripts and failures: textual inversion quality vs train_dreambooth_lora.py behavior." + }, + { + "left": "issue:4337", + "right": "issue:4665", + "accept": false, + "reason": "Unrelated code paths: torch.compile with ControlNetReference vs Windows safetensors/bin-file selection." + }, + { + "left": "issue:4557", + "right": "issue:9106", + "accept": false, + "reason": "Both are attribute errors, but the affected classes and failure points are different and not clearly the same bug." + }, + { + "left": "issue:5510", + "right": "issue:6079", + "accept": false, + "reason": "Similar dtype wording, but one is an SDXL InstructPix2Pix runtime mismatch and the other is a generic half/float scalar-type error." + }, + { + "left": "issue:6486", + "right": "issue:8534", + "accept": false, + "reason": "Different DreamBooth training bugs: embedding retraction twice vs SD3 logit-normal weighting." + }, + { + "left": "issue:10412", + "right": "issue:6967", + "accept": false, + "reason": "Both are training-related, but one is VRAM usage and the other is a shape-mismatch with prior preservation." + }, + { + "left": "issue:5798", + "right": "issue:9166", + "accept": false, + "reason": "ControlNet callback kwarg error vs image_processor.overlay behavior; no same concrete bug." + }, + { + "left": "issue:1734", + "right": "issue:3284", + "accept": false, + "reason": "Both involve DreamBooth + accelerate, but one is multi-GPU slowness and the other is a script failure." + }, + { + "left": "issue:10025", + "right": "issue:10675", + "accept": false, + "reason": "Same Flux umbrella only; attention-mask handling and scheduler max_shift configuration are different defects." + }, + { + "left": "issue:1076", + "right": "issue:319", + "accept": false, + "reason": "Completely unrelated models and topics; no shared underlying issue." + }, + { + "left": "issue:11148", + "right": "issue:9460", + "accept": false, + "reason": "PEFT adapter state bug vs SD3 ControlNet model-list assignment; different components and fixes." + }, + { + "left": "issue:2984", + "right": "issue:7370", + "accept": false, + "reason": "Different feature requests for different video/text generation models; not the same change." + }, + { + "left": "issue:3418", + "right": "issue:6452", + "accept": false, + "reason": "Different training/API changes: LoRA text-encoder support vs adding masked_image_latents to ControlNet inpaint." + }, + { + "left": "issue:3748", + "right": "issue:660", + "accept": false, + "reason": "Both concern dtype/device quirks, but one is LoRA safetensor loading and the other is MPS fp16 inference." + }, + { + "left": "issue:3788", + "right": "issue:7370", + "accept": false, + "reason": "Both are new-model support requests, but for different architectures and pipelines." + }, + { + "left": "issue:4438", + "right": "issue:5054", + "accept": false, + "reason": "Both touch SDXL errors, but the missing hook and the pipeline error are different failure modes." + }, + { + "left": "issue:10303", + "right": "issue:7460", + "accept": false, + "reason": "Different internal tensor bugs in different modules: attention permutation vs AdaLayerNorm." + }, + { + "left": "issue:1305", + "right": "issue:5046", + "accept": false, + "reason": "Separate paper/addition requests for different methods; not the same underlying feature." + }, + { + "left": "issue:1805", + "right": "issue:3043", + "accept": false, + "reason": "Both are feature requests, but for different pipelines/models and no shared concrete implementation." + }, + { + "left": "issue:3391", + "right": "issue:4868", + "accept": false, + "reason": "Different symptoms and code paths: DeepFloyd overexposure vs super().__getattr__ AttributeError." + }, + { + "left": "issue:5570", + "right": "issue:6008", + "accept": false, + "reason": "Missing training utility in package vs IP-Adapter/LCM LoRA failure; unrelated bugs." + }, + { + "left": "issue:10054", + "right": "issue:9974", + "accept": false, + "reason": "Different scheduler/config issues: torch.linspace parameter passing vs SD3 ControlNet expected parameters." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 253, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10382", + "issue:10659", + "issue:10674", + "issue:1106", + "issue:11398", + "issue:11627", + "issue:11642", + "issue:12299", + "issue:12895", + "issue:1310", + "issue:1405", + "issue:1990", + "issue:2068", + "issue:2331", + "issue:2459", + "issue:2532", + "issue:2579", + "issue:2695", + "issue:2712", + "issue:3043", + "issue:3113", + "issue:3861", + "issue:389", + "issue:3958", + "issue:4219", + "issue:4542", + "issue:4551", + "issue:462", + "issue:4933", + "issue:5607", + "issue:5743", + "issue:5897", + "issue:6584", + "issue:6793", + "issue:6809", + "issue:7276", + "issue:7492", + "issue:7497", + "issue:7562", + "issue:7686", + "issue:801", + "issue:9164", + "issue:9358", + "issue:9443", + "issue:954", + "issue:9548", + "issue:9822" + ], + "soft_pairs": [ + "issue:1310|issue:1990", + "issue:2331|issue:3043", + "issue:3113|issue:7497", + "issue:12299|issue:9443", + "issue:4542|issue:6809", + "issue:7276|issue:9548", + "issue:4933|issue:954", + "issue:9164|issue:9358", + "issue:1106|issue:2459", + "issue:2532|issue:2579", + "issue:389|issue:462", + "issue:4551|issue:5743", + "issue:10659|issue:10674", + "issue:11398|issue:11642", + "issue:2068|issue:3861", + "issue:1405|issue:801", + "issue:5897|issue:7492", + "issue:4219|issue:6584", + "issue:11627|issue:12895", + "issue:5607|issue:7686", + "issue:10382|issue:6793", + "issue:2695|issue:2712", + "issue:3958|issue:7562", + "issue:10010|issue:9822" + ], + "prepared_review_unit_hash": "3c8e9cd34938d2e690deffc86f945dd6c2629016b7a6aa891919cb02a831edbc", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34025, + "estimated_input_tokens": 8507, + "estimated_eval_tokens": 17270 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a set of unrelated issue pairs that only share broad subsystem names or keywords. I accept just one soft duplicate around `enable_attention_slicing`, where one issue is the broader report and the other is a narrower pipeline-specific manifestation.", + "confidence": 0.82, + "canonical_issue_reason": "`issue:1405` is the best canonical issue because it is the broader, clearer report of the underlying `enable_attention_slicing()` regression; `issue:801` reads like a narrower variant of the same bug.", + "canonical_pr_reason": null, + "best_issue_reason": "`issue:1405` is the strongest issue to anchor the cluster: it states the problem directly, names the failing API, and generalizes beyond a single pipeline.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1310", + "right": "issue:1990", + "accept": false, + "reason": "One is a runtime bug report, the other is a pipeline proposal; they are not the same change or failure." + }, + { + "left": "issue:2331", + "right": "issue:3043", + "accept": false, + "reason": "Both are feature requests, but for different pipelines/features and not the same underlying work." + }, + { + "left": "issue:3113", + "right": "issue:7497", + "accept": false, + "reason": "These are different layout/control feature requests with no clear shared code-path bug." + }, + { + "left": "issue:12299", + "right": "issue:9443", + "accept": false, + "reason": "Different SD3 failures: tensor shape mismatch versus tokenizer instantiation error." + }, + { + "left": "issue:4542", + "right": "issue:6809", + "accept": false, + "reason": "Img2Img image-count bug and LoRA adapter loading regression are unrelated issues." + }, + { + "left": "issue:7276", + "right": "issue:9548", + "accept": false, + "reason": "Both mention Dreambooth, but one is a network/download problem and the other is a Flux LoRA training issue." + }, + { + "left": "issue:4933", + "right": "issue:954", + "accept": false, + "reason": "Training output export failure and login/loading failure are not the same bug." + }, + { + "left": "issue:9164", + "right": "issue:9358", + "accept": false, + "reason": "Same training script area, but convergence failure and redundant text-encoder reinitialization are different problems." + }, + { + "left": "issue:1106", + "right": "issue:2459", + "accept": false, + "reason": "PNDM UNet call behavior and xFormers training-script issue are unrelated." + }, + { + "left": "issue:2532", + "right": "issue:2579", + "accept": false, + "reason": "Panorama `get_views` bug and xFormers misuse/bug are different code paths." + }, + { + "left": "issue:389", + "right": "issue:462", + "accept": false, + "reason": "These are unrelated pipeline/docs problems, not the same defect." + }, + { + "left": "issue:4551", + "right": "issue:5743", + "accept": false, + "reason": "Dreambooth crash on SDXL and LCM training stuck at 0% are different failures." + }, + { + "left": "issue:10659", + "right": "issue:10674", + "accept": false, + "reason": "Different pipelines/models with different failures; no shared concrete bug." + }, + { + "left": "issue:11398", + "right": "issue:11642", + "accept": false, + "reason": "Both are Flux-related, but one is a missing config/attention-processor issue and the other is a prompt scaling behavior bug." + }, + { + "left": "issue:2068", + "right": "issue:3861", + "accept": false, + "reason": "These discuss `from_pretrained`, but the reported problems are different and not duplicates." + }, + { + "left": "issue:1405", + "right": "issue:801", + "accept": true, + "reason": "Both report `enable_attention_slicing()` not working, with `801` being a narrower inpainting/img2img manifestation of the same regression." + }, + { + "left": "issue:5897", + "right": "issue:7492", + "accept": false, + "reason": "Device-mismatch training error and repository-not-found loading error are unrelated." + }, + { + "left": "issue:4219", + "right": "issue:6584", + "accept": false, + "reason": "Both concern conversion, but they target different model families and different concrete conversion tasks." + }, + { + "left": "issue:11627", + "right": "issue:12895", + "accept": false, + "reason": "Different SD3/Flux pipeline crashes with different symptoms and code paths." + }, + { + "left": "issue:5607", + "right": "issue:7686", + "accept": false, + "reason": "Tensor size mismatch and `cross_attention_dim` config validation are unrelated." + }, + { + "left": "issue:10382", + "right": "issue:6793", + "accept": false, + "reason": "VAE forward return-type mismatch and hydra serialization failure are different bugs." + }, + { + "left": "issue:2695", + "right": "issue:2712", + "accept": false, + "reason": "ControlNet validation/TensorBoard issue and missing `norm_num_groups` config warning are not the same problem." + }, + { + "left": "issue:3958", + "right": "issue:7562", + "accept": false, + "reason": "Both mention CPU offload, but the failing contexts and bugs differ significantly." + }, + { + "left": "issue:10010", + "right": "issue:9822", + "accept": false, + "reason": "A missing FLUX Fill model file and loading SDXL LoRAs into Flux are distinct issues." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The canonical choice of issue:1405 over issue:801 is supported by the titles, and the lone accepted soft duplicate is a plausible narrower manifestation of the same `enable_attention_slicing()` regression. The remaining soft-edge rejections read appropriately cautious and do not overstate duplication." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 254, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10112", + "issue:10752", + "issue:10855", + "issue:10897", + "issue:1106", + "issue:11220", + "issue:1188", + "issue:12071", + "issue:12149", + "issue:1298", + "issue:13034", + "issue:1675", + "issue:176", + "issue:1949", + "issue:2153", + "issue:2163", + "issue:2377", + "issue:2661", + "issue:2662", + "issue:2800", + "issue:2856", + "issue:3112", + "issue:3296", + "issue:338", + "issue:339", + "issue:3565", + "issue:4042", + "issue:4052", + "issue:4069", + "issue:4125", + "issue:4303", + "issue:4542", + "issue:477", + "issue:5374", + "issue:5405", + "issue:6113", + "issue:6157", + "issue:6288", + "issue:6463", + "issue:7428", + "issue:7802", + "issue:8236", + "issue:8589", + "issue:8708", + "issue:8801", + "issue:8837", + "issue:9092" + ], + "soft_pairs": [ + "issue:10112|issue:7428", + "issue:10752|issue:13034", + "issue:10855|issue:12071", + "issue:10897|issue:8801", + "issue:1106|issue:2163", + "issue:11220|issue:12149", + "issue:1188|issue:2800", + "issue:1298|issue:4542", + "issue:1675|issue:5374", + "issue:176|issue:4069", + "issue:1949|issue:4303", + "issue:2153|issue:477", + "issue:2377|issue:338", + "issue:2377|issue:339", + "issue:2856|issue:6113", + "issue:3112|issue:4042", + "issue:3565|issue:8236", + "issue:4052|issue:5405", + "issue:4125|issue:6288", + "issue:6157|issue:9092", + "issue:6463|issue:8708", + "issue:7428|issue:7802", + "issue:8589|issue:8837", + "issue:2661|issue:3296", + "issue:2662|issue:3296" + ], + "prepared_review_unit_hash": "c01f336d71eaf0f6e3cb4171a15f449d30678abd91ce6a58cff74dc58f171f26", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33147, + "estimated_input_tokens": 8287, + "estimated_eval_tokens": 16830 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These issues span many unrelated diffusers bugs/features across training, pipelines, docs, and model support. None of the soft pairs look like the same concrete bug or change, so there is no clear canonical duplicate in this set.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10112", + "right": "issue:7428", + "accept": false, + "reason": "Different feature requests in the same library; Detail-Daemon vs layer diffusion are unrelated changes." + }, + { + "left": "issue:10752", + "right": "issue:13034", + "accept": false, + "reason": "FP16 unscale/optimizer bug versus WanPipeline dimension handling; no shared code-path problem." + }, + { + "left": "issue:10855", + "right": "issue:12071", + "accept": false, + "reason": "Gradient accumulation stepping bug is unrelated to Flux Kontex transformer forward behavior." + }, + { + "left": "issue:10897", + "right": "issue:8801", + "accept": false, + "reason": "Both are model support requests, but for different models and different integration work." + }, + { + "left": "issue:1106", + "right": "issue:2163", + "accept": false, + "reason": "PNDM UNet call repetition is a scheduler/inference bug, while the other is a training dtype mismatch." + }, + { + "left": "issue:11220", + "right": "issue:12149", + "accept": false, + "reason": "Documentation page issue versus package/source version mismatch; not the same underlying bug." + }, + { + "left": "issue:1188", + "right": "issue:2800", + "accept": false, + "reason": "Different pipeline requests: CLIPSeg+SD versus DiffEdit semantic editing." + }, + { + "left": "issue:1298", + "right": "issue:4542", + "accept": false, + "reason": "Broken img2img on MPS versus SDXL img2img output-count limitation; distinct failures." + }, + { + "left": "issue:1675", + "right": "issue:5374", + "accept": false, + "reason": "Conversion script state-dict error and unexpected checkpoint_path argument are different problems." + }, + { + "left": "issue:176", + "right": "issue:4069", + "accept": false, + "reason": "Missing Glide pipeline is unrelated to textual inversion unloading behavior." + }, + { + "left": "issue:1949", + "right": "issue:4303", + "accept": false, + "reason": "DreamBooth tutorial training errors do not match a Flax SDXL load crash." + }, + { + "left": "issue:2153", + "right": "issue:477", + "accept": false, + "reason": "Float16/GTX 1660 compatibility issue is unrelated to the PNDM off-by-one scheduler bug." + }, + { + "left": "issue:2377", + "right": "issue:338", + "accept": false, + "reason": "Both are test requests, but for different components (EMAModel vs LMS Discrete)." + }, + { + "left": "issue:2377", + "right": "issue:339", + "accept": false, + "reason": "Both are test requests, but for different scheduler behaviors and files." + }, + { + "left": "issue:2856", + "right": "issue:6113", + "accept": false, + "reason": "Model conversion failure versus how-to-use guidance for a control repo; not the same issue." + }, + { + "left": "issue:3112", + "right": "issue:4042", + "accept": false, + "reason": "Both mention composition of control/inpainting features, but they ask for different pipeline combinations." + }, + { + "left": "issue:3565", + "right": "issue:8236", + "accept": false, + "reason": "CUDA OOM in training setup is unrelated to wrong LR scheduler step counting." + }, + { + "left": "issue:4052", + "right": "issue:5405", + "accept": false, + "reason": "Missing from_single_file API and SDXL weight-overwrite behavior are related by API name only, not the same bug." + }, + { + "left": "issue:4125", + "right": "issue:6288", + "accept": false, + "reason": "Different LoRA training questions with different hyperparameter concerns." + }, + { + "left": "issue:6157", + "right": "issue:9092", + "accept": false, + "reason": "IP-Adapter/controlnet behavior is unrelated to Flux model_index.json loading failure." + }, + { + "left": "issue:6463", + "right": "issue:8708", + "accept": false, + "reason": "Missing audio_diffusion pipeline is unrelated to SD3 DreamBooth shift_factor docs/training issue." + }, + { + "left": "issue:7428", + "right": "issue:7802", + "accept": false, + "reason": "Both are feature requests, but for unrelated additions (layer diffusion vs OLSS scheduler)." + }, + { + "left": "issue:8589", + "right": "issue:8837", + "accept": false, + "reason": "DreamBooth prior-preservation bug is unrelated to a SlicedAttnProcessor bug." + }, + { + "left": "issue:2661", + "right": "issue:3296", + "accept": false, + "reason": "Both involve checkpointing, but one is a write error at specific steps and the other is a broader save/load issue with text_encoder; not the same concrete bug." + }, + { + "left": "issue:2662", + "right": "issue:3296", + "accept": false, + "reason": "Checkpoint write error and checkpoint save/load with text_encoder are similar areas but different failure modes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 255, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1037", + "issue:10518", + "issue:10767", + "issue:1109", + "issue:11148", + "issue:11410", + "issue:11945", + "issue:1195", + "issue:1323", + "issue:13279", + "issue:1519", + "issue:1541", + "issue:1611", + "issue:1674", + "issue:1811", + "issue:2769", + "issue:3064", + "issue:3116", + "issue:3428", + "issue:351", + "issue:3566", + "issue:3767", + "issue:4134", + "issue:4376", + "issue:4414", + "issue:4478", + "issue:4593", + "issue:460", + "issue:4880", + "issue:5043", + "issue:5372", + "issue:5414", + "issue:5761", + "issue:5798", + "issue:5857", + "issue:6068", + "issue:6090", + "issue:6091", + "issue:6548", + "issue:6749", + "issue:7619", + "issue:7872", + "issue:7895", + "issue:7972", + "issue:8671", + "issue:9551", + "issue:9895" + ], + "soft_pairs": [ + "issue:3428|issue:3566", + "issue:4880|issue:5798", + "issue:11945|issue:9895", + "issue:1109|issue:460", + "issue:4414|issue:5761", + "issue:11410|issue:7872", + "issue:1541|issue:3767", + "issue:11148|issue:13279", + "issue:3116|issue:6068", + "issue:6090|issue:7619", + "issue:1195|issue:1611", + "issue:1519|issue:4134", + "issue:1323|issue:1674", + "issue:4376|issue:5372", + "issue:10767|issue:9551", + "issue:1811|issue:3064", + "issue:2769|issue:351", + "issue:4414|issue:6091", + "issue:5414|issue:7895", + "issue:5857|issue:6548", + "issue:4478|issue:7972", + "issue:4593|issue:6749", + "issue:1037|issue:5043", + "issue:10518|issue:8671" + ], + "prepared_review_unit_hash": "f3a85132755bc8a8f3303901511a34d06fd50a1688ac71692217a32b125e922f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33677, + "estimated_input_tokens": 8420, + "estimated_eval_tokens": 17096 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These issues are mostly unrelated one-off bug reports across different pipelines, schedulers, PEFT/Flax paths, and model families. None of the proposed soft pairs look like the same underlying bug or change, so I would reject all of them and not force a single canonical duplicate representative.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:11148 is the most concrete and well-scoped bug report in the set, with a specific PEFT adapter state failure and clear behavioral impact; still, it is not a duplicate of the others.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3428", + "right": "issue:3566", + "accept": false, + "reason": "Different problems: img2img pipeline behavior change vs controlnet_reference community pipeline results." + }, + { + "left": "issue:4880", + "right": "issue:5798", + "accept": false, + "reason": "Different failure modes: ControlNet image type validation vs callback_on_step_end keyword support." + }, + { + "left": "issue:11945", + "right": "issue:9895", + "accept": false, + "reason": "Different runtime errors and code paths: PyTorch/CUDA floating point exception vs FluxPipeline device mismatch." + }, + { + "left": "issue:1109", + "right": "issue:460", + "accept": false, + "reason": "CPU core utilization issue is unrelated to ONNX CUDA/CPU runtime selection." + }, + { + "left": "issue:4414", + "right": "issue:5761", + "accept": false, + "reason": "Consistency Model sample request is not the same as decoder cost/performance discussion." + }, + { + "left": "issue:11410", + "right": "issue:7872", + "accept": false, + "reason": "Attention processor unpacking error is unrelated to a generic version/package issue." + }, + { + "left": "issue:1541", + "right": "issue:3767", + "accept": false, + "reason": "Dreambooth CKPT loading/model-type detection is unrelated to FrozenDict mutability." + }, + { + "left": "issue:11148", + "right": "issue:13279", + "accept": false, + "reason": "PEFT adapter flag handling is unrelated to AutoencoderRAE loading with older transformers." + }, + { + "left": "issue:3116", + "right": "issue:6068", + "accept": false, + "reason": "Different schedulers and symptoms: KDPM2Discrete img2img noise vs DDIM SDXL sample correctness." + }, + { + "left": "issue:6090", + "right": "issue:7619", + "accept": false, + "reason": "Both mention channel errors, but they appear to be different concrete bugs and model paths." + }, + { + "left": "issue:1195", + "right": "issue:1611", + "accept": false, + "reason": "Memory-efficient attention with fp16 weights is not the same as SD1.5 mega-pipeline breakage." + }, + { + "left": "issue:1519", + "right": "issue:4134", + "accept": false, + "reason": "Apple M2 batch noise bug is different from ControlNet tensor-size mismatch on M1 Max." + }, + { + "left": "issue:1323", + "right": "issue:1674", + "accept": false, + "reason": "Flax dtype-loading issue is unrelated to Dreambooth scheduling/DPMSolver loading." + }, + { + "left": "issue:4376", + "right": "issue:5372", + "accept": false, + "reason": "Textual inversion crash in SDXL is unrelated to safety_checker usage questions." + }, + { + "left": "issue:10767", + "right": "issue:9551", + "accept": false, + "reason": "FlashVideo integration and Flux ControlNet usage are different topics, not the same bug." + }, + { + "left": "issue:1811", + "right": "issue:3064", + "accept": false, + "reason": "Weight-download selection is unrelated to loading a safetensors LoRA." + }, + { + "left": "issue:2769", + "right": "issue:351", + "accept": false, + "reason": "Model conversion corruption is unrelated to a CUDA placement/loading issue." + }, + { + "left": "issue:4414", + "right": "issue:6091", + "accept": false, + "reason": "Consistency Model sample discussion is not the same as a consistency decoder size/memory bug." + }, + { + "left": "issue:5414", + "right": "issue:7895", + "accept": false, + "reason": "PEFT set_adapters weights bug is unrelated to Flax memory-efficient attention." + }, + { + "left": "issue:5857", + "right": "issue:6548", + "accept": false, + "reason": "AnimateDiff LCM LoRA quality issue is unrelated to RGBA images being misread as latents." + }, + { + "left": "issue:4478", + "right": "issue:7972", + "accept": false, + "reason": "SDXL bias/input type mismatch is different from LEDITS++ type mismatch." + }, + { + "left": "issue:4593", + "right": "issue:6749", + "accept": false, + "reason": "Automatic1111 LoRA rank limit error is unrelated to InstantID replication issues." + }, + { + "left": "issue:1037", + "right": "issue:5043", + "accept": false, + "reason": "Stable Diffusion Telephone community pipeline request is unrelated to Wurstchen LoRA finetuning." + }, + { + "left": "issue:10518", + "right": "issue:8671", + "accept": false, + "reason": "One is a bug report about a specific SD3 LoRA colab script; the other is a code cleanup/redundancy note in a different script." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 256, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1064", + "issue:10640", + "issue:10737", + "issue:11208", + "issue:1161", + "issue:11839", + "issue:12149", + "issue:12195", + "issue:12995", + "issue:1344", + "issue:1742", + "issue:1755", + "issue:1974", + "issue:1990", + "issue:2361", + "issue:2578", + "issue:3222", + "issue:3279", + "issue:3537", + "issue:381", + "issue:4014", + "issue:4297", + "issue:435", + "issue:4534", + "issue:4932", + "issue:4957", + "issue:5008", + "issue:5064", + "issue:5079", + "issue:5124", + "issue:5162", + "issue:5465", + "issue:562", + "issue:5968", + "issue:6518", + "issue:6616", + "issue:7210", + "issue:7589", + "issue:7666", + "issue:7757", + "issue:8463", + "issue:8615", + "issue:8786", + "issue:8894", + "issue:9089", + "issue:9611", + "issue:984" + ], + "soft_pairs": [ + "issue:10640|issue:7210", + "issue:12149|issue:12195", + "issue:1344|issue:1755", + "issue:3537|issue:5968", + "issue:5008|issue:6616", + "issue:7666|issue:8786", + "issue:4014|issue:4297", + "issue:11208|issue:7589", + "issue:11839|issue:12995", + "issue:1755|issue:1990", + "issue:2361|issue:4534", + "issue:5079|issue:8615", + "issue:6518|issue:8463", + "issue:1742|issue:1974", + "issue:3222|issue:4932", + "issue:7757|issue:8894", + "issue:1064|issue:562", + "issue:2578|issue:984", + "issue:381|issue:435", + "issue:4957|issue:5064", + "issue:3279|issue:5124", + "issue:5465|issue:9611", + "issue:10737|issue:9089", + "issue:1161|issue:5162" + ], + "prepared_review_unit_hash": "d352402ff38e08871a5737d9024371840c4bbbe865edf3de45c3e424b54d9a0e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33495, + "estimated_input_tokens": 8374, + "estimated_eval_tokens": 17004 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "One clear duplicate pair stands out: the LMSDiscreteScheduler/inpainting failure reports. The rest are broad-similarity matches but not the same concrete bug or change.", + "confidence": 0.81, + "canonical_issue_reason": "Issue 562 is the broader, earlier report of the same LMSDiscreteScheduler + StableDiffusionInpaintPipeline failure, so it is the best canonical issue for the shared bug.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 562 is the clearest representative of the only strong duplicate cluster in this set and describes the underlying scheduler/inpainting problem most generally.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10640", + "right": "issue:7210", + "accept": false, + "reason": "Both are runtime errors, but they affect different paths: FluxInpaintPipeline/DataParallel vs accelerate.load_checkpoint_and_dispatch on StableDiffusionXLPipeline." + }, + { + "left": "issue:12149", + "right": "issue:12195", + "accept": false, + "reason": "One is a packaging/source mismatch report; the other is a torch.library.custom_op compatibility error in AutoencoderKL. Different bugs." + }, + { + "left": "issue:1344", + "right": "issue:1755", + "accept": false, + "reason": "No substantive overlap beyond being issues; one is a GPU limitation, the other is unrelated Arabic text." + }, + { + "left": "issue:3537", + "right": "issue:5968", + "accept": false, + "reason": "Different conversion targets and workflows: ControlNet conversion vs Text2Video/Img2Video ONNX export." + }, + { + "left": "issue:5008", + "right": "issue:6616", + "accept": false, + "reason": "A TryOnDiffusion architecture proposal is unrelated to classifier-guidance implementation." + }, + { + "left": "issue:7666", + "right": "issue:8786", + "accept": false, + "reason": "Different SDXL/custom-pipeline loading bug vs SD3 token-length behavior; not the same failure mode." + }, + { + "left": "issue:4014", + "right": "issue:4297", + "accept": false, + "reason": "Both mention artifacts/watermarks, but one is a general watermark artifact complaint and the other is a batched img2img-specific fishnet artifact issue." + }, + { + "left": "issue:11208", + "right": "issue:7589", + "accept": false, + "reason": "Different features and failures: MultiControlNet support for SD3 inpainting vs GLIGEN layout-to-image not working." + }, + { + "left": "issue:11839", + "right": "issue:12995", + "accept": false, + "reason": "FluxKontext gguf input-size loading error is unrelated to the Cosmos-Predict2.5 video generation/reconstruction question." + }, + { + "left": "issue:1755", + "right": "issue:1990", + "accept": false, + "reason": "No meaningful relation; one is a generic Arabic issue, the other is a pipeline proposal." + }, + { + "left": "issue:2361", + "right": "issue:4534", + "accept": false, + "reason": "Training checkpoint-save crash vs SDXL dreambooth validation crash on mps are different code paths and symptoms." + }, + { + "left": "issue:5079", + "right": "issue:8615", + "accept": false, + "reason": "Both are LoRA-related, but load_lora_weights support and fuse_lora support are different operations, not the same bug/change." + }, + { + "left": "issue:6518", + "right": "issue:8463", + "accept": false, + "reason": "Different NoneType errors in different scripts/pipelines: integer division in distillation vs tokenizer access in InstructP2P-SDXL." + }, + { + "left": "issue:1742", + "right": "issue:1974", + "accept": false, + "reason": "Different scheduler/reproducibility topics; prompt-list inference speed is unrelated to Euler schedulers with generator lists." + }, + { + "left": "issue:3222", + "right": "issue:4932", + "accept": false, + "reason": "Both concern missing saved files after training, but custom_diffusion weights and Dreambooth model outputs are different artifacts and likely different bugs." + }, + { + "left": "issue:7757", + "right": "issue:8894", + "accept": false, + "reason": "Different training scripts and failure modes; one is multi-GPU OOM, the other is an unconditional training error." + }, + { + "left": "issue:1064", + "right": "issue:562", + "accept": true, + "reason": "Same underlying LMSDiscreteScheduler/inpainting bug: one report says add_noise() errors, the other says StableDiffusionInpaintPipeline fails with LMSDiscreteScheduler." + }, + { + "left": "issue:2578", + "right": "issue:984", + "accept": false, + "reason": "Editable install failure is unrelated to F.interpolate breaking for large batch sizes." + }, + { + "left": "issue:381", + "right": "issue:435", + "accept": false, + "reason": "Different notebook errors with different missing attributes; no shared bug path." + }, + { + "left": "issue:4957", + "right": "issue:5064", + "accept": false, + "reason": "Both are disk-space failures, but they occur in different pipelines and likely reflect environmental exhaustion rather than one duplicate bug." + }, + { + "left": "issue:3279", + "right": "issue:5124", + "accept": false, + "reason": "Resume-from-checkpoint errors in DreamBooth LoRA are unrelated to a request for a checkpoint-to-safetensors conversion script." + }, + { + "left": "issue:5465", + "right": "issue:9611", + "accept": false, + "reason": "Different issues in different pipelines: DiffEdit inpaint_strength handling vs Flux image batching errors." + }, + { + "left": "issue:10737", + "right": "issue:9089", + "accept": false, + "reason": "One says an encoder attribute is missing in FluxPipeline; the other says FluxPipeline is not found at all." + }, + { + "left": "issue:1161", + "right": "issue:5162", + "accept": false, + "reason": "Convert Flax-trained model to PyTorch is unrelated to a checkpoint-folder-to-safetensors conversion script." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is conservative and grounded in the packet. The only accepted duplicate pair, issue 1064 vs issue 562, is plausibly the same LMSDiscreteScheduler/inpainting bug based on the titles, and the rest of the soft-edge rejections stay appropriately cautious rather than over-claiming duplicates." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 257, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10290", + "issue:10767", + "issue:10860", + "issue:10953", + "issue:11497", + "issue:11592", + "issue:1214", + "issue:12221", + "issue:12547", + "issue:1314", + "issue:1875", + "issue:1922", + "issue:2192", + "issue:2331", + "issue:2402", + "issue:3383", + "issue:3403", + "issue:3689", + "issue:3717", + "issue:3767", + "issue:3876", + "issue:4080", + "issue:4210", + "issue:4665", + "issue:4701", + "issue:4876", + "issue:4969", + "issue:4985", + "issue:514", + "issue:5284", + "issue:5558", + "issue:5646", + "issue:6112", + "issue:6149", + "issue:6164", + "issue:6277", + "issue:6452", + "issue:6598", + "issue:660", + "issue:7177", + "issue:7640", + "issue:776", + "issue:7939", + "issue:8228", + "issue:8879", + "issue:8900", + "issue:9810" + ], + "soft_pairs": [ + "issue:1314|issue:4701", + "issue:2331|issue:5284", + "issue:3689|issue:4876", + "issue:3876|issue:5558", + "issue:4969|issue:514", + "issue:4969|issue:7177", + "issue:11497|issue:12547", + "issue:5646|issue:6598", + "issue:1214|issue:3767", + "issue:1922|issue:4210", + "issue:2192|issue:6277", + "issue:3403|issue:776", + "issue:6112|issue:6149", + "issue:7939|issue:8228", + "issue:1875|issue:6164", + "issue:3717|issue:4985", + "issue:3383|issue:4665", + "issue:10290|issue:10953", + "issue:10767|issue:12221", + "issue:10860|issue:9810", + "issue:2402|issue:660", + "issue:4080|issue:6452", + "issue:7640|issue:8879", + "issue:11592|issue:8900" + ], + "prepared_review_unit_hash": "7f4eb4c38dca083476d82688f07d0ead34fbbeaed1fc436ab6be079fd6711038", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33218, + "estimated_input_tokens": 8305, + "estimated_eval_tokens": 16866 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are not true duplicates; they cover a mix of unrelated bugs, feature requests, and version-specific regressions across diffusers training, loading, ControlNet, LoRA, and pipelines. I would not merge any of the soft pairs.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue stands out because the cluster spans distinct problems rather than one underlying bug.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11497 is the strongest representative if a cluster anchor is needed: it is an open, concrete, well-scoped bug report with broader applicability than the more niche or feature-request-style items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1314", + "right": "issue:4701", + "accept": false, + "reason": "Different failures: xformers backward on Windows vs AutoencoderKL float32 CUDA differentiation error." + }, + { + "left": "issue:2331", + "right": "issue:5284", + "accept": false, + "reason": "Generic ControlNet pipeline feature request vs ControlNet-LLLite support request; related area but not the same change." + }, + { + "left": "issue:3689", + "right": "issue:4876", + "accept": false, + "reason": "LoRA unload behavior vs adding a std argument for LoRA layers; distinct issues." + }, + { + "left": "issue:3876", + "right": "issue:5558", + "accept": false, + "reason": "Single-pipeline demo error vs artifacts with multiple ControlNets; different concrete bugs." + }, + { + "left": "issue:4969", + "right": "issue:514", + "accept": false, + "reason": "ImportError for CrossAttention vs attention slicing runtime error; unrelated symptoms." + }, + { + "left": "issue:4969", + "right": "issue:7177", + "accept": false, + "reason": "CrossAttention import failure vs StableCascadeDecoderPipeline.from_pretrained error; different code paths." + }, + { + "left": "issue:11497", + "right": "issue:12547", + "accept": false, + "reason": "Dataset preprocessing cache key bug vs missing --instance_prompt argument in Dreambooth Flux Kontext I2I; unrelated." + }, + { + "left": "issue:5646", + "right": "issue:6598", + "accept": false, + "reason": "Scheduler stability comparison vs img2img nondeterminism against A1111; not the same bug." + }, + { + "left": "issue:1214", + "right": "issue:3767", + "accept": false, + "reason": "Half-precision CLIPTextModel issue vs FrozenDict immutability; no shared underlying fix." + }, + { + "left": "issue:1922", + "right": "issue:4210", + "accept": false, + "reason": "Undefined notebook helper vs question about attention_mask usage; unrelated." + }, + { + "left": "issue:2192", + "right": "issue:6277", + "accept": false, + "reason": "Missing CLI arguments in train_dreambooth_lora.py vs broken gradients in train_text_to_image_lora.py; different problems." + }, + { + "left": "issue:3403", + "right": "issue:776", + "accept": false, + "reason": "TorchDynamo pipeline loading issue vs batch_size>1 image-to-image breakage; different failure modes." + }, + { + "left": "issue:6112", + "right": "issue:6149", + "accept": false, + "reason": "Noisy SDXL-Turbo output vs ip-adapter load error; different subsystems and symptoms." + }, + { + "left": "issue:7939", + "right": "issue:8228", + "accept": false, + "reason": "Model loading from same folder vs from_single_file CLIPTextModel load failure; not the same bug." + }, + { + "left": "issue:1875", + "right": "issue:6164", + "accept": false, + "reason": "fp16 Imagic training type mismatch vs latent output handling in StableDiffusionPipeline; distinct code paths." + }, + { + "left": "issue:3717", + "right": "issue:4985", + "accept": false, + "reason": "General multi-GPU OOM vs SDXL InstructPix2Pix OOM; both OOMs but different scenarios and likely causes." + }, + { + "left": "issue:3383", + "right": "issue:4665", + "accept": false, + "reason": "Partially downloaded pipeline loading vs Windows safetensors/alt-bin file selection issue; separate loading bugs." + }, + { + "left": "issue:10290", + "right": "issue:10953", + "accept": false, + "reason": "torch.compile speed problem on Flux/ControlNet vs permute/transpose code style correction; unrelated." + }, + { + "left": "issue:10767", + "right": "issue:12221", + "accept": false, + "reason": "FlashVideo/Diffusers integration vs DiffSynth ControlNet support request; different feature areas." + }, + { + "left": "issue:10860", + "right": "issue:9810", + "accept": false, + "reason": "LoRA export/use in ComfyUI vs module_to_save() support; overlapping theme but not the same issue." + }, + { + "left": "issue:2402", + "right": "issue:660", + "accept": false, + "reason": "CUDA-not-enabled assertion vs MPS fp16 loading on Apple Silicon; entirely different environments." + }, + { + "left": "issue:4080", + "right": "issue:6452", + "accept": false, + "reason": "Request for SDXL inpainting pipeline vs adding masked_image_latents input to an existing pipeline; related but not duplicate." + }, + { + "left": "issue:7640", + "right": "issue:8879", + "accept": false, + "reason": "from_single_file dimension/runtime error vs torch.compile+cudagraph instability on SDXL; different failure modes." + }, + { + "left": "issue:11592", + "right": "issue:8900", + "accept": false, + "reason": "FluxLoraLoaderMixin delete_adapters regression vs loading sd_xl_refiner via from_single_file; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 258, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10057", + "issue:10165", + "issue:10226", + "issue:10239", + "issue:10453", + "issue:1111", + "issue:11247", + "issue:11864", + "issue:12108", + "issue:12157", + "issue:12321", + "issue:12338", + "issue:12437", + "issue:12540", + "issue:13015", + "issue:13298", + "issue:1574", + "issue:1647", + "issue:1790", + "issue:2264", + "issue:3455", + "issue:3481", + "issue:3651", + "issue:3655", + "issue:3683", + "issue:4080", + "issue:4366", + "issue:4506", + "issue:4530", + "issue:5225", + "issue:5284", + "issue:5395", + "issue:5463", + "issue:5489", + "issue:6091", + "issue:6295", + "issue:6335", + "issue:6398", + "issue:6530", + "issue:7009", + "issue:7138", + "issue:7191", + "issue:7228", + "issue:7781", + "issue:7881", + "issue:8464", + "issue:9370", + "issue:953" + ], + "soft_pairs": [ + "issue:5395|issue:5489", + "issue:12108|issue:12157", + "issue:1574|issue:1790", + "issue:4506|issue:5463", + "issue:6091|issue:6398", + "issue:6335|issue:7881", + "issue:10239|issue:7009", + "issue:11864|issue:12338", + "issue:3651|issue:3683", + "issue:7228|issue:7781", + "issue:10057|issue:11247", + "issue:5225|issue:9370", + "issue:1111|issue:953", + "issue:5284|issue:6530", + "issue:2264|issue:3481", + "issue:3655|issue:7191", + "issue:4080|issue:4366", + "issue:10165|issue:8464", + "issue:10226|issue:7138", + "issue:4530|issue:6295", + "issue:10453|issue:12540", + "issue:13015|issue:13298", + "issue:12321|issue:12437", + "issue:1647|issue:3455" + ], + "prepared_review_unit_hash": "b910135e0b145b39450de04dc584b33637dabf09d338d0da14bf880cb7ef9b4b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33900, + "estimated_input_tokens": 8475, + "estimated_eval_tokens": 17206 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is very heterogeneous; the soft pairs only share broad subsystem keywords and do not look like true duplicates. I rejected all soft edges and found no single canonical issue that cleanly represents the whole set.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue fits well: the items span many unrelated bugs, feature requests, and model/pipeline areas, so the cluster is not a coherent duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11247 is the strongest standalone report if a representative issue must be chosen: it has a concrete failure mode and explicit component context, but it is not a good umbrella for the rest of the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5395", + "right": "issue:5489", + "accept": false, + "reason": "Shared PEFT/LoRA theme only; one is a specific LoRA-combination bug and the other is a broad integration alert." + }, + { + "left": "issue:12108", + "right": "issue:12157", + "accept": false, + "reason": "Both are Qwen-related, but one is a scheduler/flow-matching breakage and the other is a bnb quantization device error." + }, + { + "left": "issue:1574", + "right": "issue:1790", + "accept": false, + "reason": "Training-related in general, but one is a concrete Dreambooth GPU failure and the other is a general question about training." + }, + { + "left": "issue:4506", + "right": "issue:5463", + "accept": false, + "reason": "Different code-paths and failures: overwritten prompt embeds vs image_latents referenced before assignment." + }, + { + "left": "issue:6091", + "right": "issue:6398", + "accept": false, + "reason": "Both mention memory, but one is a decoder-size argument issue and the other is an unspecific memory leak report." + }, + { + "left": "issue:6335", + "right": "issue:7881", + "accept": false, + "reason": "Different pipelines and bugs: output-size control in ControlNet Img2Img vs from_single_file loading in LPW Stable Diffusion." + }, + { + "left": "issue:10239", + "right": "issue:7009", + "accept": false, + "reason": "Same video family, but one is offload support and the other is poor generation quality with a specific checkpoint." + }, + { + "left": "issue:11864", + "right": "issue:12338", + "accept": false, + "reason": "Both involve AutoencoderDC, but the failures are distinct: torch.compile fullgraph import/name error vs VAE slicing/multi-image decoding." + }, + { + "left": "issue:3651", + "right": "issue:3683", + "accept": false, + "reason": "Both are training/integration topics, but one is multi-GPU Dreambooth execution and the other is Multi-ControlNet save_pretrained support." + }, + { + "left": "issue:7228", + "right": "issue:7781", + "accept": false, + "reason": "Unrelated bugs: traced-model dtype attribute missing vs PIL image serialization receiving a dict." + }, + { + "left": "issue:10057", + "right": "issue:11247", + "accept": false, + "reason": "Both mention FluxTransformer2DModel, but one is from_single_file token/loading trouble and the other is multi-GPU distribution with controlnet." + }, + { + "left": "issue:5225", + "right": "issue:9370", + "accept": false, + "reason": "One is a VRAM/memory capacity complaint; the other is a missing pooled_projection argument in a specific embedding forward path." + }, + { + "left": "issue:1111", + "right": "issue:953", + "accept": false, + "reason": "Not the same issue: one is about dataset licensing/training data, the other is about smaller output image sizes." + }, + { + "left": "issue:5284", + "right": "issue:6530", + "accept": false, + "reason": "One is a support request for ControlNet-LLLite, not the same as the SDXL ControlNet/K-diffusion runtime issue." + }, + { + "left": "issue:2264", + "right": "issue:3481", + "accept": false, + "reason": "Both involve seeds/reproducibility, but the concrete failures differ: pipeline seed-setting error vs step-dependent image differences." + }, + { + "left": "issue:3655", + "right": "issue:7191", + "accept": false, + "reason": "Both mention imports, but the platform/component failures are different and not enough to treat as duplicates." + }, + { + "left": "issue:4080", + "right": "issue:4366", + "accept": false, + "reason": "Feature request for SDXL inpainting vs a fine-tuning script request; different artifacts and goals." + }, + { + "left": "issue:10165", + "right": "issue:8464", + "accept": false, + "reason": "Both are seed-related, but one concerns changing LoRA scale and the other cpu offload in SEGA." + }, + { + "left": "issue:10226", + "right": "issue:7138", + "accept": false, + "reason": "Both are Flux/SDXL-adjacent model-shape problems, but one is a Dreambooth LoRA tensor mismatch and the other is an SDXL U-Net structure mismatch." + }, + { + "left": "issue:4530", + "right": "issue:6295", + "accept": false, + "reason": "Different output artifacts: color speckles in SDXL refiner vs artifacts under a specific sampler configuration." + }, + { + "left": "issue:10453", + "right": "issue:12540", + "accept": false, + "reason": "Different pipelines and symptoms: Hunyuan Video batch-size support vs Sana embedding compatibility." + }, + { + "left": "issue:13015", + "right": "issue:13298", + "accept": false, + "reason": "Both are device-placement errors, but they affect different Qwen image variants and likely different code paths." + }, + { + "left": "issue:12321", + "right": "issue:12437", + "accept": false, + "reason": "One is support for HunyuanImage-2.1; the other is a request to support OmniSVG. Different models/features." + }, + { + "left": "issue:1647", + "right": "issue:3455", + "accept": false, + "reason": "A solved usage question about color correction .pt is unrelated to the pretrained instruct-pix2pix training request." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 259, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10381", + "issue:10743", + "issue:10925", + "issue:1101", + "issue:11642", + "issue:2203", + "issue:2437", + "issue:2669", + "issue:3658", + "issue:4139", + "issue:4149", + "issue:4353", + "issue:4406", + "issue:4410", + "issue:4975", + "issue:4991", + "issue:5004", + "issue:5070", + "issue:5079", + "issue:5271", + "issue:5405", + "issue:5509", + "issue:5685", + "issue:5783", + "issue:6016", + "issue:6037", + "issue:6176", + "issue:6454", + "issue:6496", + "issue:6518", + "issue:6713", + "issue:6790", + "issue:7147", + "issue:7450", + "issue:7454", + "issue:7600", + "issue:761", + "issue:7798", + "issue:7801", + "issue:7856", + "issue:8612", + "issue:8918", + "issue:9044", + "issue:9084", + "issue:9090", + "issue:9204", + "issue:9450", + "issue:9505" + ], + "soft_pairs": [ + "issue:2203|issue:761", + "issue:2437|issue:6037", + "issue:4139|issue:8612", + "issue:4149|issue:5509", + "issue:4991|issue:5405", + "issue:5004|issue:7600", + "issue:5271|issue:6496", + "issue:5783|issue:8918", + "issue:7147|issue:7856", + "issue:10381|issue:9450", + "issue:4410|issue:6016", + "issue:4353|issue:7798", + "issue:4406|issue:6713", + "issue:5685|issue:7450", + "issue:10743|issue:10925", + "issue:2669|issue:6518", + "issue:1101|issue:5070", + "issue:3658|issue:7600", + "issue:4975|issue:9090", + "issue:5079|issue:7454", + "issue:6176|issue:9505", + "issue:6454|issue:7801", + "issue:6790|issue:9204", + "issue:7798|issue:9084", + "issue:11642|issue:9044" + ], + "prepared_review_unit_hash": "a8d1d5b73a7b0cdc961aa25198221f7d5d3e3714f245b4bde69eb149941cd5f6", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34231, + "estimated_input_tokens": 8558, + "estimated_eval_tokens": 17372 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly heterogeneous and does not form a broad duplicate cluster. The only strong duplicate-looking pair is the safetensors `HeaderTooLarge` reports (4406 and 6713); the rest are different bugs, features, or training-script issues across unrelated code paths.", + "confidence": 0.82, + "canonical_issue_reason": "issue 6713 is the best canonical for the duplicated `HeaderTooLarge` safetensors failure because it names the concrete failing script and the exact error; issue 4406 is the more generic report of the same problem.", + "canonical_pr_reason": null, + "best_issue_reason": "issue 6713 is the strongest anchor in this set: it is the clearest, most concrete bug report and matches the only accepted duplicate pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2203", + "right": "issue:761", + "accept": false, + "reason": "Unrelated problems: download location vs 8-bit Adam training failure." + }, + { + "left": "issue:2437", + "right": "issue:6037", + "accept": false, + "reason": "Different requests: T2I-Adapter pipeline vs InstaFlow pipeline addition." + }, + { + "left": "issue:4139", + "right": "issue:8612", + "accept": false, + "reason": "Both involve precision, but different pipelines and failure modes." + }, + { + "left": "issue:4149", + "right": "issue:5509", + "accept": false, + "reason": "Different pipelines and different batch-mismatch contexts." + }, + { + "left": "issue:4991", + "right": "issue:5405", + "accept": false, + "reason": "Dataloader preparation bug vs single-file SDXL weight overwrite issue." + }, + { + "left": "issue:5004", + "right": "issue:7600", + "accept": false, + "reason": "Both are training bugs, but the code paths differ: resume/checkpointing vs text_encoder accumulation." + }, + { + "left": "issue:5271", + "right": "issue:6496", + "accept": false, + "reason": "Different DreamBooth feature requests with no shared bug path." + }, + { + "left": "issue:5783", + "right": "issue:8918", + "accept": false, + "reason": "Different training scripts/models and different failure descriptions." + }, + { + "left": "issue:7147", + "right": "issue:7856", + "accept": false, + "reason": "Import error vs tokenizer vocabulary collision; unrelated." + }, + { + "left": "issue:10381", + "right": "issue:9450", + "accept": false, + "reason": "Both mention FLUX, but one is quantization/LoRA inference and the other is a multi-GPU device-placement bug." + }, + { + "left": "issue:4410", + "right": "issue:6016", + "accept": false, + "reason": "Both are shape/type conversion issues, but they affect different conversion/loading paths." + }, + { + "left": "issue:4353", + "right": "issue:7798", + "accept": false, + "reason": "SDXL quality complaint vs PixArtAlpha pipeline bug; not the same issue." + }, + { + "left": "issue:4406", + "right": "issue:6713", + "accept": true, + "reason": "Same underlying safetensors `HeaderTooLarge` deserialization failure; one is the generic error and the other is the same error in the conversion script." + }, + { + "left": "issue:5685", + "right": "issue:7450", + "accept": false, + "reason": "Scheduler behavior concerns vs AutoencoderKL threading issues; different subsystems." + }, + { + "left": "issue:10743", + "right": "issue:10925", + "accept": false, + "reason": "Zero-3 training support vs Dreambooth CLIPTextModel issue; different FLUX training topics." + }, + { + "left": "issue:2669", + "right": "issue:6518", + "accept": false, + "reason": "Different `NoneType` errors in different scripts and code paths." + }, + { + "left": "issue:1101", + "right": "issue:5070", + "accept": false, + "reason": "Scheduler feature request vs ControlNet example settings; not duplicates." + }, + { + "left": "issue:3658", + "right": "issue:7600", + "accept": false, + "reason": "Dreambooth upsampler noise bug vs missing accumulate on text_encoder." + }, + { + "left": "issue:4975", + "right": "issue:9090", + "accept": false, + "reason": "LoRA loading inefficiency vs PNDM timestep repetition; unrelated." + }, + { + "left": "issue:5079", + "right": "issue:7454", + "accept": false, + "reason": "LoRA loading support request vs generic LORA support; too broad and not the same concrete change." + }, + { + "left": "issue:6176", + "right": "issue:9505", + "accept": false, + "reason": "LoRA post-training load failure vs upscaler state-dict key error; different models and failures." + }, + { + "left": "issue:6454", + "right": "issue:7801", + "accept": false, + "reason": "FP16 gradient unscale error vs model not actually being fp16; related theme but different bug." + }, + { + "left": "issue:6790", + "right": "issue:9204", + "accept": false, + "reason": "LCM state_dict mismatch vs FLUX DreamBooth script; unrelated training failures." + }, + { + "left": "issue:7798", + "right": "issue:9084", + "accept": false, + "reason": "Different pipeline bugs: PixArtAlpha general bug vs SD3 inpaint scheduler step ordering." + }, + { + "left": "issue:11642", + "right": "issue:9044", + "accept": false, + "reason": "Prompt-embed scaling issue vs missing model file during SDXL load; unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and conservative overall. The only accepted soft pair (4406/6713) is supported by the packet\u2019s titles, and the rest of the soft-edge rejects stay within safe bounds without overclaiming duplicates." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 260, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10287", + "issue:1033", + "issue:11000", + "issue:11093", + "issue:11432", + "issue:1284", + "issue:12895", + "issue:1566", + "issue:1992", + "issue:2091", + "issue:2202", + "issue:2276", + "issue:2784", + "issue:3116", + "issue:3381", + "issue:3951", + "issue:4171", + "issue:444", + "issue:4453", + "issue:4664", + "issue:4788", + "issue:4885", + "issue:5062", + "issue:5399", + "issue:5480", + "issue:5485", + "issue:5798", + "issue:5969", + "issue:6616", + "issue:696", + "issue:7690", + "issue:7770", + "issue:7836", + "issue:8535", + "issue:8543", + "issue:8557", + "issue:9027", + "issue:9063", + "issue:9170", + "issue:9181", + "issue:9332", + "issue:9350", + "issue:9362", + "issue:9448", + "issue:9484", + "issue:9548", + "issue:9665", + "issue:9680" + ], + "soft_pairs": [ + "issue:9484|issue:9665", + "issue:9350|issue:9362", + "issue:1033|issue:444", + "issue:11000|issue:9027", + "issue:1992|issue:5062", + "issue:2202|issue:2784", + "issue:8535|issue:8557", + "issue:4664|issue:4885", + "issue:1284|issue:5485", + "issue:11432|issue:9332", + "issue:7690|issue:9063", + "issue:3116|issue:3381", + "issue:2276|issue:696", + "issue:5798|issue:9181", + "issue:3951|issue:5969", + "issue:4171|issue:4453", + "issue:4788|issue:9170", + "issue:5480|issue:6616", + "issue:7836|issue:8543", + "issue:5399|issue:7770", + "issue:10287|issue:9548", + "issue:12895|issue:9448", + "issue:1566|issue:2091", + "issue:11093|issue:9680" + ], + "prepared_review_unit_hash": "2df13fcdca9ce56f197a5bcd569c1c789e18900b977cd48c39af9cd194f5c846", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33777, + "estimated_input_tokens": 8445, + "estimated_eval_tokens": 17146 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a grab bag of unrelated Diffusers issues: docs/example bugs, training problems, tokenizer/loading failures, scheduler edge cases, ControlNet/SDXL/SD3 regressions, and feature requests. The soft pairs share only broad subsystem vocabulary, not the same underlying code path, so none should be merged as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": "No single canonical issue: the items span many unrelated bugs and feature requests, so there is no justified duplicate anchor for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9332 is the strongest representative if one issue must anchor the set: it is open, core to StableDiffusionPipeline.from_pretrained, and has the broadest likely impact among the listed items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9484", + "right": "issue:9665", + "accept": false, + "reason": "Different bugs: FLUX Dreambooth multi-GPU/deepspeed training vs DeepSpeed affecting accelerator.prepare()." + }, + { + "left": "issue:9350", + "right": "issue:9362", + "accept": false, + "reason": "Both are index-related, but they affect different paths and failure modes; not the same bug." + }, + { + "left": "issue:1033", + "right": "issue:444", + "accept": false, + "reason": "Both mention IndexError, but the models/conditions are unrelated and the reports describe different underlying issues." + }, + { + "left": "issue:11000", + "right": "issue:9027", + "accept": false, + "reason": "Missing shift argument in WanImageToVideoPipeline is not the same as an argument-naming consistency discussion." + }, + { + "left": "issue:1992", + "right": "issue:5062", + "accept": false, + "reason": "A JAX attention refactor request and a typo in attention are unrelated changes." + }, + { + "left": "issue:2202", + "right": "issue:2784", + "accept": false, + "reason": "OpenVINO support request vs Dreambooth support request; both are feature asks, but not the same one." + }, + { + "left": "issue:8535", + "right": "issue:8557", + "accept": false, + "reason": "SD3 xformers attention support and SD3 token-limit training behavior are different problems." + }, + { + "left": "issue:4664", + "right": "issue:4885", + "accept": false, + "reason": "Both are LoRA-loading complaints, but they hit different SDXL pipelines and likely different code paths." + }, + { + "left": "issue:1284", + "right": "issue:5485", + "accept": false, + "reason": "Generic batch-size slowdown is not the same as ControlNet batch inference taking forever." + }, + { + "left": "issue:11432", + "right": "issue:9332", + "accept": false, + "reason": "Different loading bugs: torch_dtype='auto' handling vs incorrect model weights being loaded." + }, + { + "left": "issue:7690", + "right": "issue:9063", + "accept": false, + "reason": "Tokenizer loading failure for SDXL base is unrelated to FLUX slow-tokenizer instantiation failure." + }, + { + "left": "issue:3116", + "right": "issue:3381", + "accept": false, + "reason": "Scheduler noise in img2img and discolored inpaint batch output are different defects." + }, + { + "left": "issue:2276", + "right": "issue:696", + "accept": false, + "reason": "Environment/package install failure vs CUDA OOM during Dreambooth training; not the same bug." + }, + { + "left": "issue:5798", + "right": "issue:9181", + "accept": false, + "reason": "Unexpected kwarg support and strange output artifacts are distinct ControlNet issues." + }, + { + "left": "issue:3951", + "right": "issue:5969", + "accept": false, + "reason": "NaNs in UniDiffuser demo and DDIM NaNs with ZSNR patch are different model/scheduler paths." + }, + { + "left": "issue:4171", + "right": "issue:4453", + "accept": false, + "reason": "Documentation homepage rendering issue vs LoRA conversion question; unrelated." + }, + { + "left": "issue:4788", + "right": "issue:9170", + "accept": false, + "reason": "Both concern SDXL memory usage, but one is a concrete OOM bug and the other is a general VRAM requirement question." + }, + { + "left": "issue:5480", + "right": "issue:6616", + "accept": false, + "reason": "Separate feature requests: EDM implementation vs classifier-guidance support." + }, + { + "left": "issue:7836", + "right": "issue:8543", + "accept": false, + "reason": "CLIP example overfitting and SD3 Dreambooth gradient-checkpointing failure are unrelated." + }, + { + "left": "issue:5399", + "right": "issue:7770", + "accept": false, + "reason": "Dtype mismatch in custom inpainting is a different failure from LoRA tensor shape mismatch." + }, + { + "left": "issue:10287", + "right": "issue:9548", + "accept": false, + "reason": "Generic documentation example issue vs FLUX Dreambooth LoRA training bug; not the same underlying problem." + }, + { + "left": "issue:12895", + "right": "issue:9448", + "accept": false, + "reason": "SD3 batching crash with num_images_per_prompt and IP-Adapter tuple shape error are different code paths." + }, + { + "left": "issue:1566", + "right": "issue:2091", + "accept": false, + "reason": "Dreambooth checkpoint-save crash with fp16 output and checkpoint-resume multi-GPU training issue are distinct." + }, + { + "left": "issue:11093", + "right": "issue:9680", + "accept": false, + "reason": "TorchAO example breakage and SDXL unconditional generation breakage are separate issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 261, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10016", + "issue:10518", + "issue:10917", + "issue:11041", + "issue:11214", + "issue:11387", + "issue:11497", + "issue:11907", + "issue:12096", + "issue:12338", + "issue:12423", + "issue:12905", + "issue:1444", + "issue:170", + "issue:1842", + "issue:1979", + "issue:2083", + "issue:2163", + "issue:2495", + "issue:3116", + "issue:3420", + "issue:3583", + "issue:3730", + "issue:4000", + "issue:4148", + "issue:4497", + "issue:4676", + "issue:4880", + "issue:5084", + "issue:5226", + "issue:5379", + "issue:5515", + "issue:579", + "issue:5829", + "issue:6054", + "issue:6167", + "issue:6548", + "issue:6700", + "issue:6706", + "issue:7220", + "issue:759", + "issue:8887", + "issue:9027", + "issue:9279", + "issue:9291", + "issue:9731", + "issue:9895" + ], + "soft_pairs": [ + "issue:170|issue:2083", + "issue:4497|issue:759", + "issue:9279|issue:9291", + "issue:11497|issue:9731", + "issue:5226|issue:6167", + "issue:11387|issue:12338", + "issue:2495|issue:3116", + "issue:5379|issue:5515", + "issue:3420|issue:7220", + "issue:1842|issue:6054", + "issue:4880|issue:6700", + "issue:11907|issue:12096", + "issue:11041|issue:9895", + "issue:10016|issue:12423", + "issue:4676|issue:6548", + "issue:10518|issue:12905", + "issue:10917|issue:8887", + "issue:11214|issue:9027", + "issue:1444|issue:5084", + "issue:1979|issue:4000", + "issue:2083|issue:579", + "issue:2163|issue:5829", + "issue:3583|issue:6706", + "issue:3730|issue:4148" + ], + "prepared_review_unit_hash": "ae72f567775d3c09b7fd63c7d9b45d83c4f6422be288b5859bbc3b9161d12e01", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33470, + "estimated_input_tokens": 8368, + "estimated_eval_tokens": 16992 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No acceptable duplicate pairs here: the candidates span many unrelated pipelines, models, and failure modes, so they do not appear to be the same underlying bug/change.", + "confidence": 0.96, + "canonical_issue_reason": "No canonical issue selected: none of the soft pairs are true duplicates, and the set is heterogeneous rather than one coherent bug cluster.", + "canonical_pr_reason": "No PRs were provided in the input.", + "best_issue_reason": "No global best issue: any single choice would be arbitrary because the items cover unrelated issues across different subsystems.", + "best_pr_reason": "No PRs were provided in the input.", + "soft_edge_verdicts": [ + { + "left": "issue:170", + "right": "issue:2083", + "accept": false, + "reason": "Both mention eta, but one is a step()/scheduler API mismatch and the other is a DDIMScheduler multiple-generator edge case; different bugs." + }, + { + "left": "issue:4497", + "right": "issue:759", + "accept": false, + "reason": "Dynamic thresholding and textual inversion model saving are unrelated features with no shared failure path." + }, + { + "left": "issue:9279", + "right": "issue:9291", + "accept": false, + "reason": "Dynamic LoRA loading with torch.compile and FLUX LoRA key compatibility are distinct problems in different code paths." + }, + { + "left": "issue:11497", + "right": "issue:9731", + "accept": false, + "reason": "Dataset preprocessing cache invalidation is unrelated to a user asking how to train LoRA on Playground2.5." + }, + { + "left": "issue:5226", + "right": "issue:6167", + "accept": false, + "reason": "load_lora_weights and load_ip_adapter are different adapter mechanisms; these are not the same bug." + }, + { + "left": "issue:11387", + "right": "issue:12338", + "accept": false, + "reason": "RMSNorm2d vs RMSNorm in AutoencoderDC is a model-layer implementation bug, not the same as VAE slicing during multi-image decode." + }, + { + "left": "issue:2495", + "right": "issue:3116", + "accept": false, + "reason": "MPS black-image output and KDPM2DiscreteScheduler latent noise are different symptoms with different subsystems." + }, + { + "left": "issue:5379", + "right": "issue:5515", + "accept": false, + "reason": "A community SpeechToImage pipeline request is unrelated to an LCM pipeline failing without an explicit scheduler." + }, + { + "left": "issue:3420", + "right": "issue:7220", + "accept": false, + "reason": "ControlNet/diffusion pipeline incompatibility and unload_ip_adapter errors are separate pipeline issues." + }, + { + "left": "issue:1842", + "right": "issue:6054", + "accept": false, + "reason": "Unexpected eta kwarg and torch.from_numpy misuse in set_timesteps are different scheduler bugs." + }, + { + "left": "issue:4880", + "right": "issue:6700", + "accept": false, + "reason": "Single-ControlNet image validation and attention-processor temb kwarg forwarding are unrelated TypeErrors." + }, + { + "left": "issue:11907", + "right": "issue:12096", + "accept": false, + "reason": "Flux scheduler compatibility and WanVACEPipeline offloading errors affect different models and code paths." + }, + { + "left": "issue:11041", + "right": "issue:9895", + "accept": false, + "reason": "WAN2.1 apply_group_offloading and FluxPipeline device placement are different failures, not one underlying bug." + }, + { + "left": "issue:10016", + "right": "issue:12423", + "accept": false, + "reason": "Both involve from_single_file, but they target different models and different loading failures." + }, + { + "left": "issue:4676", + "right": "issue:6548", + "accept": false, + "reason": "TAESD dark latents and RGBA images being mistaken for latents are distinct VAE/encoding issues." + }, + { + "left": "issue:10518", + "right": "issue:12905", + "accept": false, + "reason": "A training-script problem and a Z_Image guidance-scale implementation bug are unrelated." + }, + { + "left": "issue:10917", + "right": "issue:8887", + "accept": false, + "reason": "Lumina-2.0 script correctness and SD3 VAE encode issues are different model/script problems." + }, + { + "left": "issue:11214", + "right": "issue:9027", + "accept": false, + "reason": "An unexpected encoder_hidden_states kwarg and argument-name consistency are not the same concrete bug." + }, + { + "left": "issue:1444", + "right": "issue:5084", + "accept": false, + "reason": "These are separate import errors for different pipelines/components." + }, + { + "left": "issue:1979", + "right": "issue:4000", + "accept": false, + "reason": "General SD-to-diffusers conversion trouble is not the same as a specific SD2 ckpt conversion issue." + }, + { + "left": "issue:2083", + "right": "issue:579", + "accept": false, + "reason": "DDIMScheduler eta/generator behavior is unrelated to missing config.json in textual inversion." + }, + { + "left": "issue:2163", + "right": "issue:5829", + "accept": false, + "reason": "UNet dtype mismatch in training and missing unet_time_cond_proj_dim in LCM scripts are different bugs." + }, + { + "left": "issue:3583", + "right": "issue:6706", + "accept": false, + "reason": "Mixture of Diffusers support and 'cads support' are unrelated feature requests." + }, + { + "left": "issue:3730", + "right": "issue:4148", + "accept": false, + "reason": "Wrong inpainting timestep blending and SDXL inpainting config errors are not the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 262, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10097", + "issue:10223", + "issue:10281", + "issue:10302", + "issue:11127", + "issue:11387", + "issue:11859", + "issue:1205", + "issue:12052", + "issue:1543", + "issue:1672", + "issue:1695", + "issue:2265", + "issue:2351", + "issue:2722", + "issue:3009", + "issue:3029", + "issue:3177", + "issue:3221", + "issue:3249", + "issue:4122", + "issue:4303", + "issue:4331", + "issue:4554", + "issue:4648", + 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"issue:3009|issue:3029", + "issue:3221|issue:7548" + ], + "prepared_review_unit_hash": "5cb9948cc81351d9ec994a4a7ca465f5bdec39972d6045a723661e074d6feddf", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33658, + "estimated_input_tokens": 8415, + "estimated_eval_tokens": 17086 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a broad mix of unrelated issues across docs, schedulers, inference/device placement, model conversion, and example scripts. None of the soft pairs describe the same concrete bug or change, so no duplicates should be merged.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4303", + "right": "issue:6921", + "accept": false, + "reason": "Both concern SDXL, but one is a Flax pipeline load crash and the other is a weights mismatch; different failure modes and fixes." + }, + { + "left": "issue:4554", + "right": "issue:6906", + "accept": false, + "reason": "OOM in a Kandinsky example vs a broken LoRA dreambooth example; same general training/inference area but not the same bug." + }, + { + "left": "issue:4648", + "right": "issue:7456", + "accept": false, + "reason": "Missing config.json when loading a ControlNet directory is unrelated to a missing raise statement in code." + }, + { + "left": "issue:5595", + "right": "issue:6731", + "accept": false, + "reason": "Both are ValueErrors, but one is about invalid image dimensions and the other about an unhandled pipeline class." + }, + { + "left": "issue:5603", + "right": "issue:6142", + "accept": false, + "reason": "Different NameError/ImportError issues with unrelated symbols and code paths." + }, + { + "left": "issue:6535", + "right": "issue:9485", + "accept": false, + "reason": "Scheduler customization request vs a request to move scheduler tensors onto CUDA; related topic but not the same defect or change." + }, + { + "left": "issue:6727", + "right": "issue:9248", + "accept": false, + "reason": "Different dtype error in attention KV/Q tensors vs a pip install command/question; no shared bug." + }, + { + "left": "issue:9134", + "right": "issue:9677", + "accept": false, + "reason": "Both mention Flux and precision, but one is about LoRA training behavior and the other about keeping text encoders in fp32." + }, + { + "left": "issue:3249", + "right": "issue:5028", + "accept": false, + "reason": "Both are argument/signature issues in blocks, but one is about AttnUpBlock2D and the other is an SDXL reference pipeline hook with a scale kwarg." + }, + { + "left": "issue:10223", + "right": "issue:11387", + "accept": false, + "reason": "A question about obtaining a LoRA identifier in inference is unrelated to RMSNorm being the wrong variant in AutoencoderDC." + }, + { + "left": "issue:1543", + "right": "issue:2265", + "accept": false, + "reason": "Different broken paths: textual inversion revision handling vs ONNXRuntime incompatibility in an unconditional training script." + }, + { + "left": "issue:4122", + "right": "issue:5687", + "accept": false, + "reason": "Both are scheduler-related, but one is wrong timestep count in SDXL pipelines and the other is duplicate timesteps breaking img2img with low strength." + }, + { + "left": "issue:11127", + "right": "issue:9996", + "accept": false, + "reason": "Both involve Flux model loading, but one is a specific single-file model compatibility problem and the other is nf4 loading of a standard transformer." + }, + { + "left": "issue:4331", + "right": "issue:5014", + "accept": false, + "reason": "Different dreambooth/lora concerns: output differences between scripts vs poor training results." + }, + { + "left": "issue:10281", + "right": "issue:11859", + "accept": false, + "reason": "Both ask for schedulers, but they are distinct proposals: a new FreeScale scheduler vs a STORK scheduler request." + }, + { + "left": "issue:1695", + "right": "issue:3177", + "accept": false, + "reason": "Both mention multi-GPU/DeepSpeed offloading, but one is dreambooth training and the other is a broken stage-3 offloading setup; not the same concrete issue." + }, + { + "left": "issue:5026", + "right": "issue:5875", + "accept": false, + "reason": "Different model-conversion/runtime errors: missing text_encoder key in 0.21.0 vs ONNX prompt conversion error." + }, + { + "left": "issue:1672", + "right": "issue:2722", + "accept": false, + "reason": "Both are conversion-related, but one is wrong output image size after ckpt-to-diffusers and the other is ControlNet UNet mismatch across models." + }, + { + "left": "issue:10302", + "right": "issue:12052", + "accept": false, + "reason": "Both involve device/precision issues during inference, but one is FP8 noise without CPU offload and the other is cross-device tensor multiplication with Wan 2.2 LightX2V offloading." + }, + { + "left": "issue:10097", + "right": "issue:6439", + "accept": false, + "reason": "Both are docs issues, but one is a missing optimization-doc section and the other is a broken fp16 link." + }, + { + "left": "issue:1205", + "right": "issue:542", + "accept": false, + "reason": "Both relate to ONNX conversion, but they target different exports and problems: SD model conversion vs UNet export." + }, + { + "left": "issue:2351", + "right": "issue:5166", + "accept": false, + "reason": "Different pipeline/scheduler API gaps: missing get_velocity on a scheduler vs missing VQ-VAE scaling factor in an unconditional pipeline." + }, + { + "left": "issue:3009", + "right": "issue:3029", + "accept": false, + "reason": "Same broad ControlNet topic, but one asks generally about training improvement and the other is a custom-resolution example question." + }, + { + "left": "issue:3221", + "right": "issue:7548", + "accept": false, + "reason": "Attention processor loading regression vs flicker in AnimateDiff outputs; unrelated symptoms and code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 263, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10147", + "issue:10412", + "issue:10446", + "issue:10462", + "issue:10526", + "issue:11050", + "issue:12124", + "issue:1231", + "issue:12412", + "issue:13062", + "issue:13301", + "issue:1896", + "issue:1918", + "issue:2444", + "issue:2900", + "issue:2947", + "issue:3140", + "issue:3585", + "issue:3960", + "issue:4107", + "issue:4366", + "issue:4456", + "issue:4708", + "issue:4736", + "issue:4839", + "issue:4969", + "issue:5016", + "issue:5160", + "issue:5300", + "issue:5515", + "issue:5605", + "issue:5760", + "issue:5849", + "issue:5968", + "issue:6142", + "issue:6372", + "issue:6497", + "issue:660", + "issue:6713", + "issue:7177", + "issue:7864", + "issue:835", + "issue:8556", + "issue:8732", + "issue:9527", + "issue:9857", + "issue:9858", + "issue:9911" + ], + "soft_pairs": [ + "issue:5160|issue:5605", + "issue:10526|issue:8556", + "issue:3960|issue:6713", + "issue:4107|issue:5016", + "issue:4708|issue:7177", + "issue:6372|issue:6497", + "issue:10412|issue:8732", + "issue:1918|issue:5515", + "issue:1896|issue:660", + "issue:2900|issue:3585", + "issue:5760|issue:7864", + "issue:1231|issue:835", + "issue:12412|issue:13301", + "issue:3140|issue:6142", + "issue:4366|issue:5968", + "issue:11050|issue:9527", + "issue:2444|issue:4839", + "issue:9857|issue:9858", + "issue:4736|issue:5849", + "issue:10147|issue:10462", + "issue:10446|issue:9911", + "issue:12124|issue:13062", + "issue:2947|issue:4456", + "issue:4969|issue:5300" + ], + "prepared_review_unit_hash": "7787e94a24a1e0ce6a9fa19c08332bbaee040db433765cbbba525cff557a5f11", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33796, + "estimated_input_tokens": 8449, + "estimated_eval_tokens": 17154 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a false-positive bundle of unrelated feature requests and bug reports that only share generic diffusion/model-training vocabulary. I reject all soft edges; there is no real duplicate group here.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10446 is the most concrete and active bug report in the set (many comments, specific failing pipeline), but it is not a valid canonical for the cluster because the items are not duplicates of one another.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5160", + "right": "issue:5605", + "accept": false, + "reason": "Both are DreamBooth-related, but one is about masking and the other is about per-image captions; different requested changes." + }, + { + "left": "issue:10526", + "right": "issue:8556", + "accept": false, + "reason": "Different failure modes and code paths: optimum.quanto FP8 tensor construction vs SD3 meta-tensor loading." + }, + { + "left": "issue:3960", + "right": "issue:6713", + "accept": false, + "reason": "Shared 'HeaderTooLarge' wording, but one is a LoRA-related error and the other is a conversion-script error; not enough evidence of the same bug." + }, + { + "left": "issue:4107", + "right": "issue:5016", + "accept": false, + "reason": "Both involve SDXL LoRA training, but one reports noisy outputs and the other a text-encoder training limitation; not the same defect." + }, + { + "left": "issue:4708", + "right": "issue:7177", + "accept": false, + "reason": "An import error for diffusers.utils is unrelated to a StableCascadeDecoderPipeline.from_pretrained failure." + }, + { + "left": "issue:6372", + "right": "issue:6497", + "accept": false, + "reason": "Different pipelines and features: SVD+ControlNet versus DragNUWA." + }, + { + "left": "issue:10412", + "right": "issue:8732", + "accept": false, + "reason": "Both are training issues, but one is excessive VRAM usage and the other is checkpoint saving; different bugs." + }, + { + "left": "issue:1918", + "right": "issue:5515", + "accept": false, + "reason": "Scheduler-related only at a high level; DDIM example issue and LCM pipeline initialization are not the same problem." + }, + { + "left": "issue:1896", + "right": "issue:660", + "accept": false, + "reason": "A size/type dict error in CLIP-guided SD is unrelated to MPS fp16 revision behavior." + }, + { + "left": "issue:2900", + "right": "issue:3585", + "accept": false, + "reason": "One is a how-to around merging LoRA weights, the other is a failure using a LoRA-synthesizing model; different underlying issues." + }, + { + "left": "issue:5760", + "right": "issue:7864", + "accept": false, + "reason": "Completely different projects and capabilities: video-to-audio synthesis vs camera-motion transfer." + }, + { + "left": "issue:1231", + "right": "issue:835", + "accept": false, + "reason": "Flax scheduler support and numpy_to_pil output conversion are unrelated." + }, + { + "left": "issue:12412", + "right": "issue:13301", + "accept": false, + "reason": "Both are support requests, but for different model families and different pipeline work." + }, + { + "left": "issue:3140", + "right": "issue:6142", + "accept": false, + "reason": "ControlNet import failure and a missing start_training name are unrelated code-paths." + }, + { + "left": "issue:4366", + "right": "issue:5968", + "accept": false, + "reason": "Full U-Net fine-tuning for SDXL and video-to-ONNX conversion are different tasks." + }, + { + "left": "issue:11050", + "right": "issue:9527", + "accept": false, + "reason": "Both mention dtype handling, but they concern different scripts and different mismatched tensors." + }, + { + "left": "issue:2444", + "right": "issue:4839", + "accept": false, + "reason": "Dreambooth inpaint exit-status error is not the same as a lora_scale type error." + }, + { + "left": "issue:9857", + "right": "issue:9858", + "accept": false, + "reason": "Flux controlnet tensor-size mismatch and a KeyError on 'train' are different failures." + }, + { + "left": "issue:4736", + "right": "issue:5849", + "accept": false, + "reason": "Same training script name, but one is OOM/invalid cast and the other is an accelerate CLI args error." + }, + { + "left": "issue:10147", + "right": "issue:10462", + "accept": false, + "reason": "Multi-view generation support and CogVideoX multi-ID customization are different feature requests." + }, + { + "left": "issue:10446", + "right": "issue:9911", + "accept": false, + "reason": "Both are Flux/controlnet-related, but sharding incompatibility and multi-controlnet layer-length mismatch are distinct bugs." + }, + { + "left": "issue:12124", + "right": "issue:13062", + "accept": false, + "reason": "A dataloader shuffle question for qwen-image training is unrelated to onnxruntime-windowsml support policy." + }, + { + "left": "issue:2947", + "right": "issue:4456", + "accept": false, + "reason": "Different LoRA-loading failures: missing API method versus a ModuleList indexing error." + }, + { + "left": "issue:4969", + "right": "issue:5300", + "accept": false, + "reason": "An import error and unwanted internet access are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 264, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1082", + "issue:10933", + "issue:11396", + "issue:11561", + "issue:11661", + "issue:12113", + "issue:1251", + "issue:1335", + "issue:1546", + "issue:1949", + "issue:2538", + "issue:2695", + "issue:2844", + "issue:3418", + "issue:3769", + "issue:4269", + "issue:4297", + "issue:4390", + "issue:4478", + "issue:4534", + "issue:4584", + "issue:4619", + "issue:4767", + "issue:4932", + "issue:4977", + "issue:5254", + "issue:5334", + "issue:5538", + "issue:5592", + "issue:5628", + "issue:5846", + "issue:5849", + "issue:6159", + "issue:6295", + "issue:6794", + "issue:7079", + "issue:7220", + "issue:7432", + "issue:7572", + "issue:8241", + "issue:8410", + "issue:8803", + "issue:8837", + "issue:8989", + "issue:9227", + "issue:9648", + "issue:988", + "issue:989" + ], + "soft_pairs": [ + "issue:5538|issue:8803", + "issue:4932|issue:7220", + "issue:4767|issue:5254", + "issue:4977|issue:5592", + "issue:5628|issue:6159", + "issue:4297|issue:6295", + "issue:11561|issue:8410", + "issue:1251|issue:3769", + "issue:1335|issue:4390", + "issue:2538|issue:3418", + "issue:5334|issue:988", + "issue:12113|issue:9648", + "issue:1949|issue:2844", + "issue:1082|issue:989", + "issue:5846|issue:5849", + "issue:6794|issue:7079", + "issue:4584|issue:4619", + "issue:2695|issue:4534", + "issue:4478|issue:8241", + "issue:1546|issue:4269", + "issue:7432|issue:7572", + "issue:11661|issue:9227", + "issue:8837|issue:8989", + "issue:10933|issue:11396" + ], + "prepared_review_unit_hash": "1e62b0224b9bfb8d251d24e8d8cc75876965bc398124d33b20a7c41888c6ff5c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34323, + "estimated_input_tokens": 8581, + "estimated_eval_tokens": 17418 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is a mix of unrelated bugs and feature requests across pipelines, training scripts, schedulers, and model-loading paths. None of the soft pairs look like the same underlying issue or change, so all soft edges are rejected.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:5846 is the clearest concrete bug report in the set: it names a specific script, command, and failure mode, and has enough context to be a good representative issue if one must be chosen.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5538", + "right": "issue:8803", + "accept": false, + "reason": "Different bugs in different code paths: one questions latent usage in an upscale pipeline, the other is a duplicate assignment in attention processing." + }, + { + "left": "issue:4932", + "right": "issue:7220", + "accept": false, + "reason": "Both mention IP-adapter-related behavior, but one is about DreamBooth not returning weights and the other about unloading IP adapters in a controlnet inpaint pipeline." + }, + { + "left": "issue:4767", + "right": "issue:5254", + "accept": false, + "reason": "A scheduler prediction_type feature request is not the same as adding Multi-ControlNet support to an inpaint pipeline." + }, + { + "left": "issue:4977", + "right": "issue:5592", + "accept": false, + "reason": "Checkpoint cleanup in a training example is unrelated to UniDiffuser failing to load checkpoints." + }, + { + "left": "issue:5628", + "right": "issue:6159", + "accept": false, + "reason": "Both involve denoising_end, but one reports an offset bug with LMS Karras and the other a missing keyword-argument support issue in a different pipeline." + }, + { + "left": "issue:4297", + "right": "issue:6295", + "accept": false, + "reason": "Both mention image artifacts, but the affected pipelines and likely causes differ; these are not the same concrete defect." + }, + { + "left": "issue:11561", + "right": "issue:8410", + "accept": false, + "reason": "These are separate feature requests for different pipelines (FluxFill IP-Adapter support vs native TextDiffuser support)." + }, + { + "left": "issue:1251", + "right": "issue:3769", + "accept": false, + "reason": "Black output on MPS in RePaint is unrelated to quartered panorama output in StableDiffusionPanoramaPipeline." + }, + { + "left": "issue:1335", + "right": "issue:4390", + "accept": false, + "reason": "A missing constructor argument in an ONNX pipeline is unrelated to a generic missing requirements issue." + }, + { + "left": "issue:2538", + "right": "issue:3418", + "accept": false, + "reason": "Both ask for text-encoder support, but they target different LoRA training scripts and are not the same bug or change." + }, + { + "left": "issue:5334", + "right": "issue:988", + "accept": false, + "reason": "Accelerate multi-model preparation is a training-infrastructure request, not the same as the FSDP examples training issue." + }, + { + "left": "issue:12113", + "right": "issue:9648", + "accept": false, + "reason": "A channel-mismatch runtime error in WanImageToVideoPipeline is unrelated to VAE tiling causing memory overflow." + }, + { + "left": "issue:1949", + "right": "issue:2844", + "accept": false, + "reason": "DreamBooth tutorial errors and explicit image-embedding runtime errors are different problems in different paths." + }, + { + "left": "issue:1082", + "right": "issue:989", + "accept": false, + "reason": "CUBLAS execution failure during DreamBooth training is not the same as a generic 'weight must be 2-D' runtime error." + }, + { + "left": "issue:5846", + "right": "issue:5849", + "accept": false, + "reason": "Both involve train_text_to_image_lora_sdxl.py, but one is a resume_from_checkpoint failure and the other is a launch/signature TypeError." + }, + { + "left": "issue:6794", + "right": "issue:7079", + "accept": false, + "reason": "An import error for cast_training_params is unrelated to Transformer2DModel patch/norm behavior." + }, + { + "left": "issue:4584", + "right": "issue:4619", + "accept": false, + "reason": "These are different SDXL training bugs: one concerns checkpoint resume, the other a dtype/bias mismatch." + }, + { + "left": "issue:2695", + "right": "issue:4534", + "accept": false, + "reason": "Validation failure with default Tensorboard reporting is unrelated to an MPS crash during SDXL DreamBooth validation." + }, + { + "left": "issue:4478", + "right": "issue:8241", + "accept": false, + "reason": "A dtype/bias mismatch on SDXL load is not the same as an abnormal-size LEDITS++ model issue." + }, + { + "left": "issue:1546", + "right": "issue:4269", + "accept": false, + "reason": "Both touch input validation, but one is a truncation-warning batch-input bug and the other is a default-args TypeError in check_inputs." + }, + { + "left": "issue:7432", + "right": "issue:7572", + "accept": false, + "reason": "Image quality differences from WebUI are unrelated to a dtype/bias mismatch runtime error." + }, + { + "left": "issue:11661", + "right": "issue:9227", + "accept": false, + "reason": "These are separate Flux training issues affecting different scripts and failure modes." + }, + { + "left": "issue:8837", + "right": "issue:8989", + "accept": false, + "reason": "A sliced attention processor bug is unrelated to Stable Audio sequential offloading." + }, + { + "left": "issue:10933", + "right": "issue:11396", + "accept": false, + "reason": "Loading IP-Adapter XL plus and converting a HiDream LoRA for ComfyUI are different tasks with no shared underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 265, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10029", + "issue:10100", + "issue:10398", + "issue:11117", + "issue:11223", + "issue:11674", + "issue:11779", + "issue:11901", + "issue:12358", + "issue:12567", + "issue:12783", + "issue:12895", + "issue:1305", + "issue:13137", + "issue:2202", + "issue:2266", + "issue:2471", + "issue:2507", + "issue:2984", + "issue:3087", + "issue:3689", + "issue:4030", + "issue:4107", + "issue:4332", + "issue:4368", + "issue:4615", + "issue:4618", + "issue:5046", + "issue:5079", + "issue:5110", + "issue:5245", + "issue:5327", + "issue:5573", + "issue:5607", + "issue:6109", + "issue:6439", + "issue:7138", + "issue:7191", + "issue:7420", + "issue:7836", + "issue:8827", + "issue:8930", + "issue:9479", + "issue:9531", + "issue:9813", + "issue:9858", + "issue:9927" + ], + "soft_pairs": [ + "issue:11117|issue:12895", + "issue:11779|issue:9479", + "issue:11901|issue:13137", + "issue:12567|issue:12783", + "issue:1305|issue:3087", + "issue:3689|issue:5079", + "issue:4332|issue:7420", + "issue:4615|issue:5245", + "issue:5245|issue:7191", + "issue:6439|issue:9531", + "issue:8827|issue:9813", + "issue:5573|issue:7138", + "issue:6109|issue:8930", + "issue:2471|issue:5607", + "issue:4030|issue:5327", + "issue:4107|issue:4368", + "issue:10100|issue:12358", + "issue:2202|issue:3087", + "issue:2984|issue:5046", + "issue:9858|issue:9927", + "issue:10029|issue:10398", + "issue:2266|issue:2507", + "issue:4618|issue:5110", + "issue:11223|issue:11674", + "issue:10010|issue:7836" + ], + "prepared_review_unit_hash": "16a7715f127836f2cddd60174ee39fb5b71541a6fdcdd497ac23aca5e9fbb34b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34105, + "estimated_input_tokens": 8527, + "estimated_eval_tokens": 17310 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pair looks like the same underlying bug/change; most only share a broad subsystem (LoRA, ControlNet, attention, or training) but differ in pipeline, model family, or failure mode. There are no PRs in this set. I picked issue 11117 as the most canonical issue because it is a clear, reproducible bug report with a specific runtime exception.", + "confidence": 0.93, + "canonical_issue_reason": "issue:11117 is the clearest self-contained bug report here: it names the exact pipeline, exact exception, and likely repro context, making it the best representative issue.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11117 is a concrete runtime failure in a core pipeline, with a specific error signature and enough detail to anchor triage.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11117", + "right": "issue:12895", + "accept": false, + "reason": "Both are StableDiffusion3Pipeline bugs, but the failures differ: dtype mismatch vs NoneType.ndim during batched prompts. Not the same bug." + }, + { + "left": "issue:11779", + "right": "issue:9479", + "accept": false, + "reason": "Both involve masking/inpainting, but they are different pipelines and different symptoms (Wan VACE mask padding vs SD inpaint modifying unmasked areas)." + }, + { + "left": "issue:11901", + "right": "issue:13137", + "accept": false, + "reason": "Both are LoRA-loading errors, but for different model families and different failure modes; not plausibly one fix." + }, + { + "left": "issue:12567", + "right": "issue:12783", + "accept": false, + "reason": "Both mention noisy output from attention variants, but Ulysses Attention and Sage Attention sm90 are distinct code paths and likely distinct bugs." + }, + { + "left": "issue:1305", + "right": "issue:3087", + "accept": false, + "reason": "Direct Inversion and LyCORIS support are unrelated features; no shared bug/change." + }, + { + "left": "issue:3689", + "right": "issue:5079", + "accept": false, + "reason": "Unload-vs-load support are different requests/problems, even though both touch LoRA/LyCORIS handling." + }, + { + "left": "issue:4332", + "right": "issue:7420", + "accept": false, + "reason": "xformers failure in a specific pipeline is unrelated to a torch.compile issue." + }, + { + "left": "issue:4615", + "right": "issue:5245", + "accept": false, + "reason": "ImportError for a missing pipeline class is not the same as a pipenv import freeze." + }, + { + "left": "issue:5245", + "right": "issue:7191", + "accept": false, + "reason": "Both are vague import problems, but the reports do not identify the same code path or failure." + }, + { + "left": "issue:6439", + "right": "issue:9531", + "accept": false, + "reason": "Docs 404 and SDXL sigma scheduling are unrelated." + }, + { + "left": "issue:8827", + "right": "issue:9813", + "accept": false, + "reason": "IP-Adapter usage error and batch feature-mixing bug are different problems; same subsystem is too broad." + }, + { + "left": "issue:5573", + "right": "issue:7138", + "accept": false, + "reason": "ControlNet weight init slowdown and SDXL UNet structure mismatch are distinct issues." + }, + { + "left": "issue:6109", + "right": "issue:8930", + "accept": false, + "reason": "Different ControlNet-related bugs in different pipelines with different symptoms." + }, + { + "left": "issue:2471", + "right": "issue:5607", + "accept": false, + "reason": "The attend-and-excite size limitation and a generic tensor size mismatch are not clearly the same defect." + }, + { + "left": "issue:4030", + "right": "issue:5327", + "accept": false, + "reason": "Different embedding/textual-inversion errors in different model families; not the same bug." + }, + { + "left": "issue:4107", + "right": "issue:4368", + "accept": false, + "reason": "LoRA quality degradation and LoRA training OOM are different failure modes." + }, + { + "left": "issue:10100", + "right": "issue:12358", + "accept": false, + "reason": "Two separate feature requests for different models/pipelines, not duplicates." + }, + { + "left": "issue:2202", + "right": "issue:3087", + "accept": false, + "reason": "OpenVINO pipeline support and LyCORIS support are unrelated requests." + }, + { + "left": "issue:2984", + "right": "issue:5046", + "accept": false, + "reason": "Different model/paper feature requests with no shared code-path bug." + }, + { + "left": "issue:9858", + "right": "issue:9927", + "accept": false, + "reason": "KeyError 'train' and HeaderTooLarge during controlnet training are different training failures." + }, + { + "left": "issue:10029", + "right": "issue:10398", + "accept": false, + "reason": "A missing base_layer attribute and missing target modules indicate different adapter/model-structure problems." + }, + { + "left": "issue:2266", + "right": "issue:2507", + "accept": false, + "reason": "Both are performance-related, but sequential CPU offload slowdown and safetensors loading speed are different bottlenecks." + }, + { + "left": "issue:4618", + "right": "issue:5110", + "accept": false, + "reason": "Model-usage question and HF repo-id validation error are unrelated." + }, + { + "left": "issue:11223", + "right": "issue:11674", + "accept": false, + "reason": "OOM with LoRAs under layer-wise upcasting and a request for more Wan VACE inputs are different issues." + }, + { + "left": "issue:10010", + "right": "issue:7836", + "accept": false, + "reason": "A missing FLUX model file and CLIP overfitting are completely unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 266, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10640", + "issue:10782", + "issue:11148", + "issue:11581", + "issue:11592", + "issue:11885", + "issue:12149", + "issue:12501", + "issue:1957", + "issue:2532", + "issue:2696", + "issue:2775", + "issue:3026", + "issue:3089", + "issue:3171", + "issue:3585", + "issue:3937", + "issue:4000", + "issue:4080", + "issue:447", + "issue:4478", + "issue:4551", + "issue:460", + "issue:4605", + "issue:4675", + "issue:5054", + "issue:5274", + "issue:5372", + "issue:5594", + "issue:5678", + "issue:5714", + "issue:5824", + "issue:5829", + "issue:5989", + "issue:6335", + "issue:6520", + "issue:6529", + "issue:6567", + "issue:6598", + "issue:6794", + "issue:7168", + "issue:7185", + "issue:7575", + "issue:7640", + "issue:8373", + "issue:9032", + "issue:9171" + ], + "soft_pairs": [ + "issue:1957|issue:5274", + "issue:5594|issue:6529", + "issue:5714|issue:7185", + "issue:3026|issue:3585", + "issue:7168|issue:7640", + "issue:10640|issue:6794", + "issue:3937|issue:6567", + "issue:4478|issue:4605", + "issue:2775|issue:6520", + "issue:4551|issue:5829", + "issue:11148|issue:12501", + "issue:6335|issue:6598", + "issue:5678|issue:7575", + "issue:10010|issue:9032", + "issue:10782|issue:12149", + "issue:11581|issue:11885", + "issue:11592|issue:9171", + "issue:2532|issue:5824", + "issue:2696|issue:460", + "issue:3089|issue:5989", + "issue:3171|issue:447", + "issue:4000|issue:8373", + "issue:4080|issue:4675", + "issue:5054|issue:5372" + ], + "prepared_review_unit_hash": "a2744fdbd48db0787089fad91bcebcdc5bee65272a4d19d78fd252297f9ef6bf", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34170, + "estimated_input_tokens": 8543, + "estimated_eval_tokens": 17342 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the items span unrelated bugs/features across FLUX, SDXL, PEFT, training scripts, and miscellaneous runtime issues. All suggested soft links look like false positives, so none should be merged as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1957", + "right": "issue:5274", + "accept": false, + "reason": "Both are training/runtime errors, but one is LR scheduler initialization and the other is an fp16 dtype mismatch; different failure modes and code paths." + }, + { + "left": "issue:5594", + "right": "issue:6529", + "accept": false, + "reason": "Both mention SDXL/LoRA-related workflows, but one is memory-saving fine-tuning and the other is Fooocus Inpaint integration; not the same bug." + }, + { + "left": "issue:5714", + "right": "issue:7185", + "accept": false, + "reason": "PeftModel support warning vs a pytorch-version compatibility question; unrelated issues." + }, + { + "left": "issue:3026", + "right": "issue:3585", + "accept": false, + "reason": "Different problems: accelerate launch training error for instruct-pix2pix versus loading a synthesized LoRA model." + }, + { + "left": "issue:7168", + "right": "issue:7640", + "accept": false, + "reason": "Both involve dimensions/shapes in SDXL-ish flows, but one is IP-Adapter image embeddings and the other is from_single_file size/runtime error; distinct causes." + }, + { + "left": "issue:10640", + "right": "issue:6794", + "accept": false, + "reason": "DataParallel/FluxInpaintPipeline error and an import error in training_utils are unrelated code paths." + }, + { + "left": "issue:3937", + "right": "issue:6567", + "accept": false, + "reason": "ZeroscopeXL model loading problem vs SD 1.5 text_config_dict import warning; different models and failures." + }, + { + "left": "issue:4478", + "right": "issue:4605", + "accept": false, + "reason": "SDXL input/bias type mismatch is a model inference issue, while the long-prompt-weighting inpaint error is a different pipeline-specific problem." + }, + { + "left": "issue:2775", + "right": "issue:6520", + "accept": false, + "reason": "torch._dynamo decorator/runtime failure vs blank validation images during adapter training; not the same bug." + }, + { + "left": "issue:4551", + "right": "issue:5829", + "accept": false, + "reason": "Dreambooth crash with SDXL and missing unet_time_cond_proj_dim in LCM scripts are separate SDXL training issues." + }, + { + "left": "issue:11148", + "right": "issue:12501", + "accept": false, + "reason": "PEFT adapter state handling and VAE decoder graph breaks are unrelated internals." + }, + { + "left": "issue:6335", + "right": "issue:6598", + "accept": false, + "reason": "Output-size control in ControlNet img2img versus nondeterministic img2img results; different symptoms and fixes." + }, + { + "left": "issue:5678", + "right": "issue:7575", + "accept": false, + "reason": "Higher-order derivative problems in attention_processor are not the same as Transformer2DModel adanorm shape errors." + }, + { + "left": "issue:10010", + "right": "issue:9032", + "accept": false, + "reason": "FLUX Fill example hitting a missing HF model file is unrelated to a FlaxStableDiffusionPipeline TPU setup question." + }, + { + "left": "issue:10782", + "right": "issue:12149", + "accept": false, + "reason": "Lumina Image 2.0 minor issue and pip/source mismatch for diffusers 0.34.0 are different packaging/model concerns." + }, + { + "left": "issue:11581", + "right": "issue:11885", + "accept": false, + "reason": "IP Adapter dtype constructor error in FLUX is not the same as the FLUX LoRA load_lora_weights regression." + }, + { + "left": "issue:11592", + "right": "issue:9171", + "accept": false, + "reason": "delete_adapters regression and from_single_file prediction_type regression affect different adapter/model-loading paths." + }, + { + "left": "issue:2532", + "right": "issue:5824", + "accept": false, + "reason": "StableDiffusionPanoramaPipeline get_views bug versus SDXL add_time_ids default value problem; unrelated pipeline logic." + }, + { + "left": "issue:2696", + "right": "issue:460", + "accept": false, + "reason": "No CUDA installed after package install is a different environment issue than ONNX runtime backend selection." + }, + { + "left": "issue:3089", + "right": "issue:5989", + "accept": false, + "reason": "DDPM scheduler bug and safetensors.torch bug are separate subsystems." + }, + { + "left": "issue:3171", + "right": "issue:447", + "accept": false, + "reason": "LPW prompt handling for ControlNet and prompt truncation detection are different prompt-processing concerns." + }, + { + "left": "issue:4000", + "right": "issue:8373", + "accept": false, + "reason": "Checkpoint conversion to diffusers format is unrelated to an incorrect-format error message." + }, + { + "left": "issue:4080", + "right": "issue:4675", + "accept": false, + "reason": "Adding SDXL inpainting support and ControlNet Reference Only for SDXL are distinct feature requests." + }, + { + "left": "issue:5054", + "right": "issue:5372", + "accept": false, + "reason": "Missing final_offload_hook attribute and safety_checker usage in SDXLPipeline are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 267, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10198", + "issue:10940", + "issue:11127", + "issue:11489", + "issue:11661", + "issue:1214", + "issue:1530", + "issue:2737", + "issue:4139", + "issue:4222", + "issue:4403", + "issue:4414", + "issue:4542", + "issue:4605", + "issue:4753", + "issue:5002", + "issue:5152", + "issue:5605", + "issue:5821", + "issue:5981", + "issue:5989", + "issue:6042", + "issue:6159", + "issue:6183", + "issue:6258", + "issue:6513", + "issue:6790", + "issue:7000", + "issue:7009", + "issue:7041", + "issue:7210", + "issue:7355", + "issue:7592", + "issue:7798", + "issue:8236", + "issue:8373", + "issue:8644", + "issue:8790", + "issue:8792", + "issue:8900", + "issue:9023", + "issue:9209", + "issue:9279", + "issue:9292", + "issue:9516", + "issue:962", + "issue:9856", + "issue:9953" + ], + "soft_pairs": [ + "issue:6790|issue:7592", + "issue:7041|issue:8792", + "issue:11127|issue:9856", + "issue:8644|issue:9953", + "issue:4403|issue:6159", + "issue:6183|issue:8373", + "issue:10940|issue:7210", + "issue:1214|issue:4139", + "issue:4542|issue:7355", + "issue:4753|issue:8236", + "issue:9279|issue:9292", + "issue:5152|issue:5981", + "issue:6258|issue:7009", + "issue:8900|issue:9209", + "issue:1530|issue:5002", + "issue:4414|issue:9023", + "issue:4605|issue:962", + "issue:5821|issue:7000", + "issue:2737|issue:6513", + "issue:4222|issue:5605", + "issue:5989|issue:7798", + "issue:6042|issue:8790", + "issue:11489|issue:11661", + "issue:10198|issue:9516" + ], + "prepared_review_unit_hash": "0c59f6ace2296b3e5134f0dce40a5b4f22b27654dfef9212cafc6fea537c2e06", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34057, + "estimated_input_tokens": 8515, + "estimated_eval_tokens": 17286 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All proposed soft edges look like false positives: they pair distinct bugs or feature requests that happen to share broad terminology. The set is too heterogeneous to have a safe duplicate canonical issue.", + "confidence": 0.94, + "canonical_issue_reason": "No safe canonical issue: these items span unrelated problems (Flux loading/training, scheduler APIs, precision/offload issues, sample-code failures, and even deprecation/network errors), so there is no single underlying defect to represent the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No strong best issue either; even the most Flux-centric items describe different code paths and symptoms, so picking one as the duplicate target would be misleading.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6790", + "right": "issue:7592", + "accept": false, + "reason": "Different failures: unexpected state_dict keys during LCM training vs incomplete DoRA state loading; both are checkpoint/loading bugs but not the same defect." + }, + { + "left": "issue:7041", + "right": "issue:8792", + "accept": false, + "reason": "Segfault with num_inference_steps > 1 is unrelated to image-quality degradation when migrating from A1111; different symptoms and likely different causes." + }, + { + "left": "issue:11127", + "right": "issue:9856", + "accept": false, + "reason": "Single-file Flux model loading failure is unrelated to distributed port contention; no shared code-path bug." + }, + { + "left": "issue:8644", + "right": "issue:9953", + "accept": false, + "reason": "Meta-tensor error during SD3 T5 offload is a different problem from moving a quantized pipeline to CUDA." + }, + { + "left": "issue:4403", + "right": "issue:6159", + "accept": false, + "reason": "Half-precision LayerNorm failure is not the same as ControlNetXSPipeline lacking the denoising_end argument." + }, + { + "left": "issue:6183", + "right": "issue:8373", + "accept": false, + "reason": "Incorrect output shape from_single_file is distinct from an incorrect error message; same area, different bug." + }, + { + "left": "issue:10940", + "right": "issue:7210", + "accept": false, + "reason": "Missing triton.ops import and missing named_parameters on a pipeline are unrelated code-path issues." + }, + { + "left": "issue:1214", + "right": "issue:4139", + "accept": false, + "reason": "CLIP half-precision support and custom attention-processor precision casting are different precision bugs." + }, + { + "left": "issue:4542", + "right": "issue:7355", + "accept": false, + "reason": "Image-count limitation in SDXL img2img is unrelated to Stable Cascade arbitrary-resolution/bfloat16 generation errors." + }, + { + "left": "issue:4753", + "right": "issue:8236", + "accept": false, + "reason": "Broken train_dreambooth_lora.py and wrong scheduler step count are separate training-script bugs." + }, + { + "left": "issue:9279", + "right": "issue:9292", + "accept": false, + "reason": "Dynamic LoRA loading with torch.compile and incompatible Flux LoRA keys are related to LoRA handling, but they are not the same concrete bug." + }, + { + "left": "issue:5152", + "right": "issue:5981", + "accept": false, + "reason": "W\u00fcrstchen alpha bug and DPMSolverMultistepScheduler bug are unrelated scheduler/model issues." + }, + { + "left": "issue:6258", + "right": "issue:7009", + "accept": false, + "reason": "Forward-chunking image-quality degradation in Stable Video Diffusion is not the same as poor results loading a text-to-video checkpoint." + }, + { + "left": "issue:8900", + "right": "issue:9209", + "accept": false, + "reason": "from_single_file loading for SDXL refiner is unrelated to an HF mirror connection error." + }, + { + "left": "issue:1530", + "right": "issue:5002", + "accept": false, + "reason": "Missing learned_classifier_free_sampling_embeddings and missing use_karras_sigmas are different API/compatibility gaps." + }, + { + "left": "issue:4414", + "right": "issue:9023", + "accept": false, + "reason": "Consistency Model sampling discussion and sample-code runtime failure do not describe the same issue." + }, + { + "left": "issue:4605", + "right": "issue:962", + "accept": false, + "reason": "Long-prompt weighting inpaint-model error is unrelated to inpaint pipeline size limitations." + }, + { + "left": "issue:5821", + "right": "issue:7000", + "accept": false, + "reason": "CUDA backward training failure is unrelated to a PyTorch deprecation warning in outputs.py." + }, + { + "left": "issue:2737", + "right": "issue:6513", + "accept": false, + "reason": "Scheduler support for CLIP guidance and missing T2IAdapter model support are different feature requests." + }, + { + "left": "issue:4222", + "right": "issue:5605", + "accept": false, + "reason": "Low-resolution LDM training guidance and per-image caption support are different training features, not duplicates." + }, + { + "left": "issue:5989", + "right": "issue:7798", + "accept": false, + "reason": "A safetensors.torch bug and a PixArtAlphaPipeline bug are unrelated." + }, + { + "left": "issue:6042", + "right": "issue:8790", + "accept": false, + "reason": "SDXL-turbo distillation example question and SDXL TensorRT + IP Adapter support are different requests." + }, + { + "left": "issue:11489", + "right": "issue:11661", + "accept": false, + "reason": "Flux LoRA training error and using args.max_train_steps when None in flux-control are both Flux-related, but they affect different scripts and failure modes." + }, + { + "left": "issue:10198", + "right": "issue:9516", + "accept": false, + "reason": "Flux.1-dev weight mismatch is not the same as joint_attention_kwargs not being passed to FLUX transformers; different bug classes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 268, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10066", + "issue:1055", + "issue:10650", + "issue:11169", + "issue:11659", + "issue:12126", + "issue:12565", + "issue:12645", + "issue:12995", + "issue:13162", + "issue:1444", + "issue:1709", + "issue:1909", + "issue:1919", + "issue:1922", + "issue:2098", + "issue:2838", + "issue:305", + "issue:3057", + "issue:3624", + "issue:4094", + "issue:4186", + "issue:4249", + "issue:4528", + "issue:4557", + "issue:4585", + "issue:459", + "issue:4768", + "issue:4977", + "issue:5034", + "issue:5046", + "issue:5110", + "issue:5120", + "issue:5395", + "issue:5485", + "issue:5689", + "issue:5763", + "issue:6055", + "issue:6313", + "issue:6616", + "issue:6686", + "issue:7147", + "issue:7243", + "issue:7490", + "issue:8552", + "issue:9090", + "issue:9331", + "issue:9974" + ], + "soft_pairs": [ + "issue:1909|issue:2098", + "issue:4186|issue:6686", + "issue:6313|issue:6616", + "issue:1709|issue:6055", + "issue:3624|issue:5110", + "issue:1919|issue:5120", + "issue:10650|issue:12995", + "issue:11169|issue:12645", + "issue:12126|issue:12565", + "issue:1444|issue:305", + "issue:1922|issue:5689", + "issue:2838|issue:459", + "issue:3057|issue:4249", + "issue:4094|issue:4768", + "issue:5485|issue:8552", + "issue:7490|issue:9331", + "issue:10066|issue:9974", + "issue:4585|issue:7147", + "issue:4977|issue:5034", + "issue:1055|issue:4557", + "issue:4528|issue:5763", + "issue:11659|issue:13162", + "issue:5046|issue:7243", + "issue:5395|issue:9090" + ], + "prepared_review_unit_hash": "de7defd5cbc2951d28e9953e47deab4aa1ff7fd50fd9b599f7cd09a39834c1d0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33964, + "estimated_input_tokens": 8491, + "estimated_eval_tokens": 17238 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the soft pairs share broad keywords or subsystem names, but they do not describe the same underlying bug/change. No canonical issue or PR stands out.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1909", + "right": "issue:2098", + "accept": false, + "reason": "Both mention generators/randn, but one is about schedulers accepting only a single generator while the other is a torch.randn argument error; different failure modes." + }, + { + "left": "issue:4186", + "right": "issue:6686", + "accept": false, + "reason": "SDXL inpaint/refiner behavior vs Dynamo compile save/load performance; same model family, but not the same bug or fix." + }, + { + "left": "issue:6313", + "right": "issue:6616", + "accept": false, + "reason": "Both are feature requests for new pipeline behavior, but null-text inversion and classifier guidance are distinct implementations." + }, + { + "left": "issue:1709", + "right": "issue:6055", + "accept": false, + "reason": "ONNX Tensor.astype error is unrelated to an accelerate import/runtime issue." + }, + { + "left": "issue:3624", + "right": "issue:5110", + "accept": false, + "reason": "One is a getattr type error, the other is Hugging Face repo-id validation; unrelated." + }, + { + "left": "issue:1919", + "right": "issue:5120", + "accept": false, + "reason": "Dreambooth requirements packaging issue vs a critical prior-preservation training bug; different root causes." + }, + { + "left": "issue:10650", + "right": "issue:12995", + "accept": false, + "reason": "Lumina shape mismatch during inference is unrelated to a Cosmos-Predict2.5 pipeline usage question." + }, + { + "left": "issue:11169", + "right": "issue:12645", + "accept": false, + "reason": "Binary incompatibility import failure vs inference speed comparison; not the same code-path problem." + }, + { + "left": "issue:12126", + "right": "issue:12565", + "accept": false, + "reason": "Wan2.2 cache_context NoneType error when switching transformers is different from Wan2.1 i2v running issues." + }, + { + "left": "issue:1444", + "right": "issue:305", + "accept": false, + "reason": "Both are import errors, but one is specifically StableDiffusionSafetyChecker missing and the other is a generic diffusers import problem." + }, + { + "left": "issue:1922", + "right": "issue:5689", + "accept": false, + "reason": "Undefined init_git_repo in a notebook is unrelated to DPM++ residual noise behavior." + }, + { + "left": "issue:2838", + "right": "issue:459", + "accept": false, + "reason": "ControlNet pipeline usage request vs a conceptual incremental diffusion proposal; not the same change." + }, + { + "left": "issue:3057", + "right": "issue:4249", + "accept": false, + "reason": "Conversion script import failure and check_inputs prompt_embeds validation are separate pipeline issues." + }, + { + "left": "issue:4094", + "right": "issue:4768", + "accept": false, + "reason": "Training script addition vs checkpoint saving format support; related area, but not the same bug/change." + }, + { + "left": "issue:5485", + "right": "issue:8552", + "accept": false, + "reason": "ControlNet batch inference slowness and a TextToVideoZeroPipeline segfault are unrelated." + }, + { + "left": "issue:7490", + "right": "issue:9331", + "accept": false, + "reason": "Generic backward problem vs scheduler timestep index logic; different components and symptoms." + }, + { + "left": "issue:10066", + "right": "issue:9974", + "accept": false, + "reason": "self.attn unpack ValueError is unrelated to adding expected parameters to controlnet_sd3." + }, + { + "left": "issue:4585", + "right": "issue:7147", + "accept": false, + "reason": "Documentation inconsistency about SDXL MultiControlNet is unrelated to an import error for StableCascadeDecoderPipeline." + }, + { + "left": "issue:4977", + "right": "issue:5034", + "accept": false, + "reason": "Removing checkpoints in an example script is not the same as checkpoint loading corrupting the progress bar display." + }, + { + "left": "issue:1055", + "right": "issue:4557", + "accept": false, + "reason": "Missing LatentDiffusionPipeline import and a super().__getattr__ AttributeError are different issues." + }, + { + "left": "issue:4528", + "right": "issue:5763", + "accept": false, + "reason": "LoRA quality/effectiveness complaints are unrelated to save_pretrained safetensors serialization." + }, + { + "left": "issue:11659", + "right": "issue:13162", + "accept": false, + "reason": "General LoRA load issue vs explicit Flux.2-klein-4b LoRA support request; not the same underlying problem." + }, + { + "left": "issue:5046", + "right": "issue:7243", + "accept": false, + "reason": "No-code feature proposal for DragonDiffusion vs ResAdapter paper/feature request; distinct changes." + }, + { + "left": "issue:5395", + "right": "issue:9090", + "accept": false, + "reason": "PEFT LoRA combination bug and PNDMScheduler repeated timestep bug are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 269, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10111", + "issue:10147", + "issue:10382", + "issue:10749", + "issue:1083", + "issue:10952", + "issue:11010", + "issue:11160", + "issue:1158", + "issue:11732", + "issue:1205", + "issue:12097", + "issue:1445", + "issue:1572", + "issue:1574", + "issue:1823", + "issue:2228", + "issue:2288", + "issue:2480", + "issue:2799", + "issue:3045", + "issue:3065", + "issue:3391", + "issue:3622", + "issue:3717", + "issue:3765", + "issue:4972", + "issue:5037", + "issue:5112", + "issue:5432", + "issue:5442", + "issue:5875", + "issue:6087", + "issue:6094", + "issue:6176", + "issue:6517", + "issue:6548", + "issue:6839", + "issue:7133", + "issue:720", + "issue:785", + "issue:835", + "issue:8801", + "issue:8930", + "issue:9034", + "issue:9387", + "issue:9686", + "issue:9846" + ], + "soft_pairs": [ + "issue:1574|issue:3717", + "issue:11160|issue:12097", + "issue:10111|issue:9686", + "issue:10382|issue:7133", + "issue:1083|issue:835", + "issue:10952|issue:11732", + "issue:1158|issue:2480", + "issue:1205|issue:3045", + "issue:1445|issue:5875", + "issue:2288|issue:3065", + "issue:3391|issue:6548", + "issue:5442|issue:9387", + "issue:6839|issue:9846", + "issue:4972|issue:720", + "issue:1572|issue:2799", + "issue:5037|issue:5432", + "issue:10147|issue:8801", + "issue:6094|issue:6176", + "issue:6517|issue:9034", + "issue:5112|issue:8930", + "issue:3765|issue:6087", + "issue:10749|issue:11010", + "issue:1823|issue:3622", + "issue:2228|issue:785" + ], + "prepared_review_unit_hash": "31b4a9265ff078e886c679ee292f0e2ec2489f14412c4d92dc50ae4fd1236c60", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34126, + "estimated_input_tokens": 8532, + "estimated_eval_tokens": 17320 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the soft pairs mostly share broad subsystem words but not the same underlying bug or change, so all soft edges should be rejected. The closest thing to a canonical issue is the broad FLUX bug report, but it still does not make the set a true duplicate cluster.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 10111 is the most umbrella-style, bug-focused report in the set, so it is the closest canonical issue candidate.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10111 is the best representative only in a loose sense; the rest of the items span unrelated bugs and feature requests, so there is no strong duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1574", + "right": "issue:3717", + "accept": false, + "reason": "DreamBooth single-GPU training failure vs multi-GPU OOM; different code paths and causes." + }, + { + "left": "issue:11160", + "right": "issue:12097", + "accept": false, + "reason": "WAN 2.1 inconsistent outputs vs WAN 2.2 end-of-run VRAM OOM; different model/version and symptom." + }, + { + "left": "issue:10111", + "right": "issue:9686", + "accept": false, + "reason": "Generic FLUX pipeline bugs vs SD3 ControlNet pooled-projections bug; different models/pipelines." + }, + { + "left": "issue:10382", + "right": "issue:7133", + "accept": false, + "reason": "VAE encoder return-type AttributeError vs SDXL DreamBooth LoRA checkpoint size mismatch; unrelated subsystems." + }, + { + "left": "issue:1083", + "right": "issue:835", + "accept": false, + "reason": "FP16 ONNX wrong output vs flax numpy_to_pil failure; different code paths and failure modes." + }, + { + "left": "issue:10952", + "right": "issue:11732", + "accept": false, + "reason": "Adapter-name lookup ValueError vs unpacking error in load_lora_weights; different LoRA loader bugs." + }, + { + "left": "issue:1158", + "right": "issue:2480", + "accept": false, + "reason": "pytest config interference vs DreamBooth checkpoint-folder layout; unrelated test/training issues." + }, + { + "left": "issue:1205", + "right": "issue:3045", + "accept": false, + "reason": "SD-to-ONNX conversion vs LoRA-to-diffusers conversion; different directions and pipelines." + }, + { + "left": "issue:1445", + "right": "issue:5875", + "accept": false, + "reason": "ONNX inpaint AttributeError vs SDXL ONNX prompt conversion error; separate ONNX pipeline problems." + }, + { + "left": "issue:2288", + "right": "issue:3065", + "accept": false, + "reason": "InstructPix2Pix training-script addition vs LoRA text-encoder tuning option; feature requests, not the same change." + }, + { + "left": "issue:3391", + "right": "issue:6548", + "accept": false, + "reason": "DeepFloyd SR overexposure with PIL input vs RGBA image misclassified as latents in img2img; related image handling but distinct bugs." + }, + { + "left": "issue:5442", + "right": "issue:9387", + "accept": false, + "reason": "ScaleCrafter pipeline vs MimicMotion pipeline; unrelated model-support work." + }, + { + "left": "issue:6839", + "right": "issue:9846", + "accept": false, + "reason": "StableVideoDiffusion from_single_file support vs FluxControlNetModel from_single_file support; same API gap but different concrete code paths/models." + }, + { + "left": "issue:4972", + "right": "issue:720", + "accept": false, + "reason": "Wuerstchen example runtime failure vs traced UNet half/float dtype mismatch; different examples and causes." + }, + { + "left": "issue:1572", + "right": "issue:2799", + "accept": false, + "reason": "stable_diffusion_mega img2img/inpainting breakage vs checkpoint-pipeline mismatch error handling; different validation problems." + }, + { + "left": "issue:5037", + "right": "issue:5432", + "accept": false, + "reason": "Second validation-image argument error vs blank validation images; related area but different bugs." + }, + { + "left": "issue:10147", + "right": "issue:8801", + "accept": false, + "reason": "MV-Adapter multi-view support vs Kolors support; unrelated model-support requests." + }, + { + "left": "issue:6094", + "right": "issue:6176", + "accept": false, + "reason": "TextToVideoZeroPipeline regression after 0.24 vs LoRA loading after dreambooth_lora training; unrelated regressions." + }, + { + "left": "issue:6517", + "right": "issue:9034", + "accept": false, + "reason": "ControlNet SDXL import failure vs missing sentencepiece dependency; different import/dependency issues." + }, + { + "left": "issue:5112", + "right": "issue:8930", + "accept": false, + "reason": "float tensor shape construction error in SDXL ControlNet img2img vs pose control not respected; separate bugs in the same family." + }, + { + "left": "issue:3765", + "right": "issue:6087", + "accept": false, + "reason": "ControlNet training stacking effect vs LoRAConfig save/load alpha mismatch; different training/config persistence problems." + }, + { + "left": "issue:10749", + "right": "issue:11010", + "accept": false, + "reason": "GGUF support for Lumina2 vs Chroma support; distinct model-support features." + }, + { + "left": "issue:1823", + "right": "issue:3622", + "accept": false, + "reason": "Swapped comments in depth2img vs tutorial import error; documentation cleanup vs runtime import bug." + }, + { + "left": "issue:2228", + "right": "issue:785", + "accept": false, + "reason": "GPU placement issue in from_pretrained vs PNDMScheduler performance cost; different pipeline behaviors." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 270, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10107", + "issue:10869", + "issue:10950", + "issue:10962", + "issue:11022", + "issue:11035", + "issue:11222", + "issue:11630", + "issue:11642", + "issue:12574", + "issue:13203", + "issue:1742", + "issue:2221", + "issue:228", + "issue:2392", + "issue:2646", + "issue:2780", + "issue:3284", + "issue:3622", + "issue:3624", + "issue:3698", + "issue:3805", + "issue:4125", + "issue:4213", + "issue:4436", + "issue:4680", + "issue:4752", + "issue:5044", + "issue:5274", + "issue:5510", + "issue:579", + "issue:5989", + "issue:6142", + "issue:6164", + "issue:6399", + "issue:6958", + "issue:7535", + "issue:756", + "issue:8469", + "issue:852", + "issue:8557", + "issue:8752", + "issue:8826", + "issue:8939", + "issue:9309", + "issue:941", + "issue:9958", + "issue:9979" + ], + "soft_pairs": [ + "issue:228|issue:3622", + "issue:3624|issue:6142", + "issue:3698|issue:4680", + "issue:4436|issue:5989", + "issue:4752|issue:7535", + "issue:10962|issue:12574", + "issue:11642|issue:8939", + "issue:3284|issue:3805", + "issue:5510|issue:6164", + "issue:1742|issue:2392", + "issue:2221|issue:579", + "issue:2646|issue:5044", + "issue:4125|issue:5274", + "issue:4213|issue:8752", + "issue:10107|issue:8557", + "issue:10950|issue:8469", + "issue:9309|issue:9979", + "issue:11022|issue:13203", + "issue:10869|issue:8826", + "issue:11035|issue:9958", + "issue:11222|issue:11630", + "issue:2780|issue:756", + "issue:6399|issue:6958", + "issue:852|issue:941" + ], + "prepared_review_unit_hash": "af6e8347c23a01b3d2a751944b9f2b622d516bff6cdc8750298641004cb0b483", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34024, + "estimated_input_tokens": 8506, + "estimated_eval_tokens": 17268 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is a collection of mostly unrelated issues; the soft pairs share only superficial keyword overlap and should not be deduplicated. No PRs are present.", + "confidence": 0.68, + "canonical_issue_reason": "issue:12574 is the strongest standalone issue here: it is concrete, well-scoped, and describes a specific failing code path in the WanVideoToVideo/VACE control-argument handling.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12574 is the best representative issue overall because it has the clearest reproduction context and the most actionable bug description among this heterogeneous set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:228", + "right": "issue:3622", + "accept": false, + "reason": "Broken release link vs tutorial import error; different problem, no shared code path." + }, + { + "left": "issue:3624", + "right": "issue:6142", + "accept": false, + "reason": "Different exceptions in different contexts: getattr TypeError vs undefined start_training NameError." + }, + { + "left": "issue:3698", + "right": "issue:4680", + "accept": false, + "reason": "One is model conversion to diffusers, the other is SDXL inpainting fine-tuning; same area only in the broadest sense." + }, + { + "left": "issue:4436", + "right": "issue:5989", + "accept": false, + "reason": "Safetensors/VAE conversion request vs a safetensors.torch bug report; not the same underlying failure." + }, + { + "left": "issue:4752", + "right": "issue:7535", + "accept": false, + "reason": "Runtime dtype mismatch in SDXL pipeline vs typing incompatibility; one runtime bug, one type-hint issue." + }, + { + "left": "issue:10962", + "right": "issue:12574", + "accept": false, + "reason": "Different models and failures: CogView4 prompt-embed shape handling vs WanVideoToVideo control-argument handling." + }, + { + "left": "issue:11642", + "right": "issue:8939", + "accept": false, + "reason": "Prompt scaling no-op in FluxPriorReduxPipeline vs tokenizer loading failure; unrelated bugs." + }, + { + "left": "issue:3284", + "right": "issue:3805", + "accept": false, + "reason": "General training/accelerate failure vs a Colab subprocess error; too broad and not the same concrete issue." + }, + { + "left": "issue:5510", + "right": "issue:6164", + "accept": false, + "reason": "Half/float bias mismatch in one pipeline vs latent output handling in another; different code paths." + }, + { + "left": "issue:1742", + "right": "issue:2392", + "accept": false, + "reason": "Inference-speed variability vs prompt_embeds API ValueError; unrelated behavior." + }, + { + "left": "issue:2221", + "right": "issue:579", + "accept": false, + "reason": "ColossalAI error vs missing config.json for textual inversion; no meaningful overlap." + }, + { + "left": "issue:2646", + "right": "issue:5044", + "accept": false, + "reason": "Tiled VAE IndexError vs Kandinsky 2.2 load failure; different components and symptoms." + }, + { + "left": "issue:4125", + "right": "issue:5274", + "accept": false, + "reason": "Loss-curve question vs fp16 dtype training error; not the same bug." + }, + { + "left": "issue:4213", + "right": "issue:8752", + "accept": false, + "reason": "Both mention from_single_file, but one is accelerate dependency behavior and the other is offline model loading; distinct issues." + }, + { + "left": "issue:10107", + "right": "issue:8557", + "accept": false, + "reason": "Gradient checkpointing during validation vs SD3 token limit in training; unrelated." + }, + { + "left": "issue:10950", + "right": "issue:8469", + "accept": false, + "reason": "Documentation breakage vs broken face outputs; different artifact types and root causes." + }, + { + "left": "issue:9309", + "right": "issue:9979", + "accept": false, + "reason": "Both are Flux ControlNet-related, but one is a schnell pipeline bug and the other is a channels error; not clearly the same fix." + }, + { + "left": "issue:11022", + "right": "issue:13203", + "accept": false, + "reason": "WAN Quanto support request vs Zimage LoRA support issue; different models and features." + }, + { + "left": "issue:10869", + "right": "issue:8826", + "accept": false, + "reason": "Meta-tensor .item() crash vs torch.cat on empty list; separate runtime errors." + }, + { + "left": "issue:11035", + "right": "issue:9958", + "accept": false, + "reason": "from_single_file download symlink option vs temporal VAE tiling support; unrelated." + }, + { + "left": "issue:11222", + "right": "issue:11630", + "accept": false, + "reason": "WAN LoRA support breadth request vs WanVACETransformer3DModel.from_single_file support; related ecosystem, but not the same concrete bug/change." + }, + { + "left": "issue:2780", + "right": "issue:756", + "accept": false, + "reason": "FP16 unscale error in training vs a deprecation-tuple argument issue; different failure modes." + }, + { + "left": "issue:6399", + "right": "issue:6958", + "accept": false, + "reason": "LoRA visibility in external UIs vs a mid_block projection-setting bug; not the same issue." + }, + { + "left": "issue:852", + "right": "issue:941", + "accept": false, + "reason": "MPS device_map keyword error vs MPS num_images_per_prompt noise; both platform-related, but distinct bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 271, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10672", + "issue:1083", + "issue:10883", + "issue:10967", + "issue:1106", + "issue:1161", + "issue:11859", + "issue:1205", + "issue:12147", + "issue:122", + "issue:13203", + "issue:1451", + "issue:1798", + "issue:1811", + "issue:1896", + "issue:2107", + "issue:2548", + "issue:2676", + "issue:2856", + "issue:3087", + "issue:3296", + "issue:3405", + "issue:3431", + "issue:3683", + "issue:3974", + "issue:4059", + "issue:4665", + "issue:5168", + "issue:5368", + "issue:542", + "issue:5567", + "issue:5576", + "issue:5757", + "issue:5824", + "issue:5984", + "issue:599", + "issue:6054", + "issue:7238", + "issue:7370", + "issue:757", + "issue:7661", + "issue:7877", + "issue:8309", + "issue:8826", + "issue:9216", + "issue:9551", + "issue:9637", + "issue:9957" + ], + "soft_pairs": [ + "issue:2107|issue:3431", + "issue:5757|issue:5984", + "issue:5576|issue:8309", + "issue:7238|issue:7661", + "issue:10672|issue:7877", + "issue:122|issue:2856", + "issue:2548|issue:3296", + "issue:599|issue:757", + "issue:6054|issue:8826", + "issue:10883|issue:9216", + "issue:10967|issue:9551", + "issue:2676|issue:4059", + "issue:3087|issue:3974", + "issue:5368|issue:9637", + "issue:1161|issue:1798", + "issue:5168|issue:7370", + "issue:1451|issue:1896", + "issue:12147|issue:13203", + "issue:5567|issue:5824", + "issue:1083|issue:1205", + "issue:1106|issue:542", + "issue:11859|issue:9957", + "issue:1811|issue:4665", + "issue:3405|issue:3683" + ], + "prepared_review_unit_hash": "61fe4cc0534a966f0300d89bf5b6d1afd2733bf49eef277e10c134185ead0a53", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33776, + "estimated_input_tokens": 8444, + "estimated_eval_tokens": 17144 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is not a coherent duplicate cluster: it mixes unrelated issues across schedulers, LoRA/training, ControlNet, ONNX/export, and assorted feature requests. None of the proposed soft edges look like the same underlying bug or change.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out because the items are thematically unrelated; this is not a true duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a good representative for deduplication purposes, since the cluster spans unrelated reports and feature requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2107", + "right": "issue:3431", + "accept": false, + "reason": "Both mention image artifacts, but one is a low-resolution rendering bug and the other is poor inpainting+ControlNet quality; different failure modes." + }, + { + "left": "issue:5757", + "right": "issue:5984", + "accept": false, + "reason": "Both are training resume/memory-related, but one is a checkpoint resume error and the other is fp16 Colab RAM usage; not the same bug." + }, + { + "left": "issue:5576", + "right": "issue:8309", + "accept": false, + "reason": "Both are scheduler-related requests, but they ask for different algorithms and different functionality." + }, + { + "left": "issue:7238", + "right": "issue:7661", + "accept": false, + "reason": "Both involve IP-Adapter, but one is masking support and the other is constructing an AnimateDiff pipeline with IP-Adapter-loaded UNet; distinct changes." + }, + { + "left": "issue:10672", + "right": "issue:7877", + "accept": false, + "reason": "One is about callback support in follow-up pipelines, the other is an Attention block API enhancement; unrelated." + }, + { + "left": "issue:122", + "right": "issue:2856", + "accept": false, + "reason": "Both are conversion/runtime issues, but one is a Python exceptions import error during training and the other is Stable Diffusion to diffusers conversion failure." + }, + { + "left": "issue:2548", + "right": "issue:3296", + "accept": false, + "reason": "Both concern LoRA training workflows, but one is a save error and the other is checkpoint save/load with text_encoder; different code paths." + }, + { + "left": "issue:599", + "right": "issue:757", + "accept": false, + "reason": "One requests Deepspeed integration, the other attention splicing for textual inversion; not the same feature." + }, + { + "left": "issue:6054", + "right": "issue:8826", + "accept": false, + "reason": "Both are runtime errors, but one is a scheduler timesteps NumPy/torch misuse and the other is a torch.cat empty-list error; unrelated causes." + }, + { + "left": "issue:10883", + "right": "issue:9216", + "accept": false, + "reason": "Both are broad feature/update requests, but one is Marigold/model/docs updates and the other is a multi-model pipeline; different changes." + }, + { + "left": "issue:10967", + "right": "issue:9551", + "accept": false, + "reason": "Both are model-integration requests, but they target different models and pipelines." + }, + { + "left": "issue:2676", + "right": "issue:4059", + "accept": false, + "reason": "Both relate to pipeline questions/bugs, but one asks about scheduler names and the other is a ControlNet reference pipeline bug plus a new inpaint/img2img variant." + }, + { + "left": "issue:3087", + "right": "issue:3974", + "accept": false, + "reason": "Both concern model-support/loading, but LyCORIS support and safetensors loading in ControlNet inpaint are different problems." + }, + { + "left": "issue:5368", + "right": "issue:9637", + "accept": false, + "reason": "Both involve attention dtype/mask issues, but one is a generic fp16 dtype mismatch and the other is an xFormers mask failure with bfloat16 and sequence-length constraints." + }, + { + "left": "issue:1161", + "right": "issue:1798", + "accept": false, + "reason": "One is about Flax-to-PyTorch conversion, the other is Flax dreambooth training lacking v_prediction support; different issues." + }, + { + "left": "issue:5168", + "right": "issue:7370", + "accept": false, + "reason": "Both are requests to add model/pipeline support, but they are for different architectures and use cases." + }, + { + "left": "issue:1451", + "right": "issue:1896", + "accept": false, + "reason": "Both are about running Stable Diffusion examples, but one is a Flax pipeline example and the other is CLIP-guided Stable Diffusion with a dict/size error." + }, + { + "left": "issue:12147", + "right": "issue:13203", + "accept": false, + "reason": "Both mention LoRA support/load problems, but they concern different model families and failure points." + }, + { + "left": "issue:5567", + "right": "issue:5824", + "accept": false, + "reason": "Both involve UNet/SDXL internals, but one is accelerator.prepare overwriting unet.config and the other is add_time_ids projection-dim default handling." + }, + { + "left": "issue:1083", + "right": "issue:1205", + "accept": false, + "reason": "Both are ONNX-related, but one reports incorrect FP16 ONNX output while the other is SD model conversion to ONNX; not the same bug." + }, + { + "left": "issue:1106", + "right": "issue:542", + "accept": false, + "reason": "Both mention model invocation/export behavior, but one is PNDM repeatedly calling UNet and the other is a UNet ONNX export issue." + }, + { + "left": "issue:11859", + "right": "issue:9957", + "accept": false, + "reason": "Both are scheduler feature requests, but they are for different schedulers and distinct implementations." + }, + { + "left": "issue:1811", + "right": "issue:4665", + "accept": false, + "reason": "Both concern weight file selection/loading, but one is from_pretrained downloading both .bin and .safetensors and the other is a Windows-specific use_safetensors failure with alternate .bin files." + }, + { + "left": "issue:3405", + "right": "issue:3683", + "accept": false, + "reason": "Both are ControlNet training/save topics, but one is a training bug and the other is implementing save_pretrained for Multi-ControlNet." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 272, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10057", + "issue:10066", + "issue:10120", + "issue:10653", + "issue:10659", + "issue:1109", + "issue:1158", + "issue:11978", + "issue:12412", + "issue:1556", + "issue:1895", + "issue:2514", + "issue:2822", + "issue:3886", + "issue:3891", + "issue:4149", + "issue:4186", + "issue:4217", + "issue:4269", + "issue:4492", + "issue:4530", + "issue:4773", + "issue:5002", + "issue:5128", + "issue:5258", + "issue:5595", + "issue:5628", + "issue:5646", + "issue:5907", + "issue:5989", + "issue:6347", + "issue:6368", + "issue:6536", + "issue:6899", + "issue:7686", + "issue:7931", + "issue:8526", + "issue:8667", + "issue:8873", + "issue:8970", + "issue:9142", + "issue:9471", + "issue:9645", + "issue:9664", + "issue:9704", + "issue:9763", + "issue:9793", + "issue:9942" + ], + "soft_pairs": [ + "issue:5989|issue:6899", + "issue:9645|issue:9942", + "issue:5258|issue:7931", + "issue:10120|issue:6536", + "issue:1109|issue:1556", + "issue:11978|issue:12412", + "issue:8526|issue:8970", + "issue:4186|issue:4530", + "issue:2514|issue:4217", + "issue:3891|issue:6347", + "issue:4149|issue:8667", + "issue:8873|issue:9664", + "issue:5595|issue:7686", + "issue:10057|issue:9763", + "issue:4773|issue:5128", + "issue:6368|issue:9793", + "issue:2822|issue:4269", + "issue:5628|issue:5646", + "issue:1158|issue:3886", + "issue:10066|issue:9471", + "issue:10653|issue:10659", + "issue:5002|issue:5907", + "issue:1895|issue:4492", + "issue:9142|issue:9704" + ], + "prepared_review_unit_hash": "557233c3e8240000a1827a91087b8f3c04690e21f29d23d96ef58df145d8e2d9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34172, + "estimated_input_tokens": 8543, + "estimated_eval_tokens": 17342 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a false-positive cluster of unrelated issues linked by superficial keyword overlap (Flux, token, scheduler, loading, MPS, pipeline, etc.). I would not merge any of the soft pairs.", + "confidence": 0.92, + "canonical_issue_reason": "issue:9763 is the most detailed and actionable report in the set, with a concrete Flux-related failure and substantial reproduction context.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9763 is the strongest representative issue overall because it has the richest problem description and the clearest technical signal.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5989", + "right": "issue:6899", + "accept": false, + "reason": "Both are bug reports around loading/conversion, but they concern different code paths and different failures; too broad to be the same issue." + }, + { + "left": "issue:9645", + "right": "issue:9942", + "accept": false, + "reason": "One is an import error for a loader mixin, the other is a package install/version problem; unrelated root causes." + }, + { + "left": "issue:5258", + "right": "issue:7931", + "accept": false, + "reason": "Both mention SDXL controlnet/inpaint, but one is about refiner interaction and the other about IP-Adapter embeds; different bugs." + }, + { + "left": "issue:10120", + "right": "issue:6536", + "accept": false, + "reason": "Both involve memory/OOM, but one is DreamBooth on SD3 and the other is UNet3DConditionModel fine-tuning; not the same problem." + }, + { + "left": "issue:1109", + "right": "issue:1556", + "accept": false, + "reason": "CPU-core utilization and black GPU images are unrelated symptoms with no shared failure mode." + }, + { + "left": "issue:11978", + "right": "issue:12412", + "accept": false, + "reason": "Both are feature requests for new models, but they target different pipelines/models and are not the same change." + }, + { + "left": "issue:8526", + "right": "issue:8970", + "accept": false, + "reason": "Both are MPS-related, but one is ineffective scale handling in SD3 and the other is black output in Kolors; different code paths." + }, + { + "left": "issue:4186", + "right": "issue:4530", + "accept": false, + "reason": "Both involve SDXL refiner, but one is a functional inpaint/refiner failure and the other is image artifacts; not clearly the same bug." + }, + { + "left": "issue:2514", + "right": "issue:4217", + "accept": false, + "reason": "Both are loading-performance complaints, but one is cached pipeline load time and the other is safetensors load time; likely different causes." + }, + { + "left": "issue:3891", + "right": "issue:6347", + "accept": false, + "reason": "These are separate model-addition requests for different TTS/audio-related pipelines, not one underlying feature." + }, + { + "left": "issue:4149", + "right": "issue:8667", + "accept": false, + "reason": "Both mention tensor mismatches, but they affect different pipelines and triggers; too generic to treat as duplicate." + }, + { + "left": "issue:8873", + "right": "issue:9664", + "accept": false, + "reason": "xformers performance on A100 and a subprocess failure in a DreamBooth script are unrelated." + }, + { + "left": "issue:5595", + "right": "issue:7686", + "accept": false, + "reason": "One is an image-size divisibility validation error, the other is a UNet cross-attention configuration error; distinct bugs." + }, + { + "left": "issue:10057", + "right": "issue:9763", + "accept": false, + "reason": "Both are Flux/token-related, but one is about from_single_file loading and the other is token truncation during Flux ControlNet training; not the same issue." + }, + { + "left": "issue:4773", + "right": "issue:5128", + "accept": false, + "reason": "Both involve loading LoRA/model files, but the reported failures are different and not enough to imply a shared root cause." + }, + { + "left": "issue:6368", + "right": "issue:9793", + "accept": false, + "reason": "Checkpoint/layer compatibility and progress-bar update behavior are unrelated." + }, + { + "left": "issue:2822", + "right": "issue:4269", + "accept": false, + "reason": "Training convergence slowdown and a TypeError in check_inputs are different kinds of issues." + }, + { + "left": "issue:5628", + "right": "issue:5646", + "accept": false, + "reason": "Both are scheduler-related stability reports, but they involve different schedulers, symptoms, and contexts." + }, + { + "left": "issue:1158", + "right": "issue:3886", + "accept": false, + "reason": "Test interference and distributed training timeout are unrelated." + }, + { + "left": "issue:10066", + "right": "issue:9471", + "accept": false, + "reason": "A tensor unpacking ValueError and a file-extension inference error are not the same bug." + }, + { + "left": "issue:10653", + "right": "issue:10659", + "accept": false, + "reason": "One is a bitsandbytes .to(cpu) limitation, the other is a ConsisID output-quality complaint; no shared failure mode." + }, + { + "left": "issue:5002", + "right": "issue:5907", + "accept": false, + "reason": "Both concern scheduler API arguments, but they affect different schedulers and different parameters; not the same concrete defect." + }, + { + "left": "issue:1895", + "right": "issue:4492", + "accept": false, + "reason": "EMA multi-GPU update behavior and a lowercase-boolean NameError are unrelated." + }, + { + "left": "issue:9142", + "right": "issue:9704", + "accept": false, + "reason": "Multiple controlnet loading and cuDNN execution-plan errors are separate runtime problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 273, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10315", + "issue:1055", + "issue:10674", + "issue:10749", + "issue:10757", + "issue:10782", + "issue:10887", + "issue:10962", + "issue:11005", + "issue:11022", + "issue:1117", + "issue:11214", + "issue:11321", + "issue:11779", + "issue:11833", + "issue:11901", + "issue:12071", + "issue:12299", + "issue:2026", + "issue:2613", + "issue:2891", + "issue:3761", + "issue:3805", + "issue:3816", + "issue:4314", + "issue:4840", + "issue:5016", + "issue:5628", + "issue:5630", + "issue:5737", + "issue:5984", + "issue:6427", + "issue:7147", + "issue:7621", + "issue:7798", + "issue:801", + "issue:8514", + "issue:8792", + "issue:9023", + "issue:9052", + "issue:9181", + "issue:9241", + "issue:9320", + "issue:9422", + "issue:962", + "issue:9850", + "issue:9867" + ], + "soft_pairs": [ + "issue:4840|issue:9052", + "issue:5737|issue:9850", + "issue:2026|issue:2891", + "issue:3761|issue:4314", + "issue:3805|issue:5984", + "issue:5016|issue:5984", + "issue:10962|issue:12299", + "issue:5630|issue:9181", + "issue:5628|issue:8792", + "issue:801|issue:962", + "issue:9023|issue:9422", + "issue:10315|issue:8514", + "issue:11779|issue:9867", + "issue:6427|issue:7621", + "issue:1055|issue:3816", + "issue:10674|issue:10749", + "issue:10757|issue:7147", + "issue:10782|issue:11005", + "issue:10887|issue:9241", + "issue:11022|issue:11901", + "issue:1117|issue:2613", + "issue:11214|issue:12071", + "issue:11321|issue:7798", + "issue:11833|issue:9320" + ], + "prepared_review_unit_hash": "b417388ed4f2115335cc51b324b9e3f6af62efd21fdad44618efa549fc7f937f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33212, + "estimated_input_tokens": 8303, + "estimated_eval_tokens": 16862 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a false-positive mix of unrelated issues across different pipelines, training scripts, and model features. 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distinct issues." + }, + { + "left": "issue:10315", + "right": "issue:8514", + "accept": false, + "reason": "Different training contexts and failures: CogVideo training error vs EMAModel causing InstructP2P parallel fine-tuning error." + }, + { + "left": "issue:11779", + "right": "issue:9867", + "accept": false, + "reason": "Different inpainting bugs: incorrect mask padding in Wan VACE vs FluxInpaintPipeline overwriting pixels outside the mask." + }, + { + "left": "issue:6427", + "right": "issue:7621", + "accept": false, + "reason": "Different conversion vs inference bugs: diffusers-to-ckpt conversion failure vs SDXL InstructPix2Pix compatibility with cosxl_edit." + }, + { + "left": "issue:1055", + "right": "issue:3816", + "accept": false, + "reason": "Both are import-related, but one is missing LatentDiffusionPipeline and the other is missing CLIPImageProcessor from transformers." + }, + { + "left": "issue:10674", + "right": "issue:10749", + "accept": false, + "reason": "Related only by GGUF support, but they concern different pipelines (FluxPipeline vs Lumina2) and likely different code paths." + }, + { + "left": "issue:10757", + "right": "issue:7147", + "accept": false, + "reason": "Different conversion/import concerns: a variable rename in a conversion script vs missing StableCascadeDecoderPipeline import." + }, + { + "left": "issue:10782", + "right": "issue:11005", + "accept": false, + "reason": "Different Lumina minor issue vs a docstring/default discrepancy in WAN I2V script." + }, + { + "left": "issue:10887", + "right": "issue:9241", + "accept": false, + "reason": "Different topics: missing StableDiffusionXLTrainer import vs converting XLab LoRA to diffusers LoRA." + }, + { + "left": "issue:11022", + "right": "issue:11901", + "accept": false, + "reason": "Different support requests around WAN/LoRA tooling; not the same bug or fix." + }, + { + "left": "issue:1117", + "right": "issue:2613", + "accept": false, + "reason": "One asks for tests for multiple negative prompts; the other requests support for multiple LoRA layers." + }, + { + "left": "issue:11214", + "right": "issue:12071", + "accept": false, + "reason": "Different model/runtime failures: UVit2DModel forward keyword error vs Flux Kontext transformer forward behavior change." + }, + { + "left": "issue:11321", + "right": "issue:7798", + "accept": false, + "reason": "Readme documentation bug for flux controlnet training vs a PixArtAlphaPipeline bug; unrelated." + }, + { + "left": "issue:11833", + "right": "issue:9320", + "accept": false, + "reason": "Both involve loading/saving LoRA or finetuned models, but one is a KeyError in set_lora_device and the other is custom diffusion save/load behavior." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 274, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11867", + "issue:1379", + "issue:1440", + "issue:1611", + "issue:1730", + "issue:1805", + "issue:1896", + "issue:1985", + "issue:1990", + "issue:2015", + "issue:2312", + "issue:2351", + "issue:2412", + "issue:2614", + "issue:2689", + "issue:2838", + "issue:3017", + "issue:3062", + "issue:3065", + "issue:3176", + "issue:3291", + "issue:337", + "issue:3412", + "issue:3444", + "issue:3487", + "issue:3730", + "issue:3765", + "issue:3788", + "issue:3805", + "issue:3826", + "issue:3891", + "issue:3951", + "issue:4057", + "issue:4405", + "issue:4580", + "issue:4872", + "issue:5026", + "issue:5956", + "issue:6132", + "issue:6331", + "issue:6548", + "issue:6949", + "issue:7119", + "issue:713", + "issue:7392", + "issue:7405", + "issue:8887", + "issue:938" + ], + "soft_pairs": [ + "issue:11867|issue:8887", + "issue:1379|issue:3062", + "issue:1440|issue:2614", + "issue:1611|issue:5026", + "issue:1730|issue:4057", + "issue:1805|issue:938", + "issue:1896|issue:337", + "issue:1985|issue:2838", + "issue:1990|issue:2015", + "issue:2312|issue:4580", + "issue:2351|issue:6548", + "issue:2412|issue:713", + "issue:2689|issue:7119", + "issue:3017|issue:3412", + "issue:3065|issue:4405", + "issue:3176|issue:3951", + "issue:3291|issue:7392", + "issue:3444|issue:3788", + "issue:3487|issue:6949", + "issue:3730|issue:6331", + "issue:3765|issue:5956", + "issue:3805|issue:4872", + "issue:3826|issue:7405", + "issue:3891|issue:6132" + ], + "prepared_review_unit_hash": "ce49b61b98c8d20ee14ab7d6d8fa406655c5556d68bef9bc31e137540a831b14", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33427, + "estimated_input_tokens": 8357, + "estimated_eval_tokens": 16970 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated bugs, feature requests, docs items, and pipeline proposals. 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different changes." + }, + { + "left": "issue:1896", + "right": "issue:337", + "accept": false, + "reason": "CLIP-guided SD size/type error is unrelated to img2img/inpainting problems." + }, + { + "left": "issue:1985", + "right": "issue:2838", + "accept": false, + "reason": "Loading embeddings on the pipeline is a different feature request than controlnet pipeline behavior." + }, + { + "left": "issue:1990", + "right": "issue:2015", + "accept": false, + "reason": "Depth2ImgVariation and categorical diffusion are distinct pipeline proposals." + }, + { + "left": "issue:2312", + "right": "issue:4580", + "accept": false, + "reason": "EMA save-hook error during finetuning is unrelated to UniPC Karras-sigmas scheduling exceptions." + }, + { + "left": "issue:2351", + "right": "issue:6548", + "accept": false, + "reason": "Missing get_velocity on DEISMultistepScheduler is unrelated to RGBA image handling in prepare_latents." + }, + { + "left": "issue:2412", + "right": "issue:713", + "accept": false, + "reason": "Dreambooth error and generic training error are too broad and not the same concrete bug." + }, + { + "left": "issue:2689", + "right": "issue:7119", + "accept": false, + "reason": "Broken image link vs invalid docs link are both link problems, but not the same artifact or fix." + }, + { + "left": "issue:3017", + "right": "issue:3412", + "accept": false, + "reason": "Both are docs-related, but one asks for distributed inference docs and the other is a specific next-steps doc update." + }, + { + "left": "issue:3065", + "right": "issue:4405", + "accept": false, + "reason": "DreamBooth LoRA tuning feature and SDXL textual inversion training script are different example additions." + }, + { + "left": "issue:3176", + "right": "issue:3951", + "accept": false, + "reason": "TensorRT demo error and UniDiffuser NaNs are separate runtime issues." + }, + { + "left": "issue:3291", + "right": "issue:7392", + "accept": false, + "reason": "Deepfloyd aspect-ratio support and SDXL multi-aspect-ratio training are related broadly, but not the same request or bug." + }, + { + "left": "issue:3444", + "right": "issue:3788", + "accept": false, + "reason": "Audio2image via ImageBind/UnCLIP and UniControl are different new pipeline proposals." + }, + { + "left": "issue:3487", + "right": "issue:6949", + "accept": false, + "reason": "Both involve sampling quality, but one is poor inpainting with EulerAncestral and the other is blank images on even steps in DPMSolverSinglestepScheduler." + }, + { + "left": "issue:3730", + "right": "issue:6331", + "accept": false, + "reason": "Wrong inpainting timestep blending is a concrete scheduler/blending bug; 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none of the soft-similarity pairs look like safe duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4075", + "right": "issue:4803", + "accept": false, + "reason": "Docstring typo in ShapEImg2ImgPipeline vs a requirements-file open error; unrelated failures." + }, + { + "left": "issue:4186", + "right": "issue:962", + "accept": false, + "reason": "Both mention inpaint, but one is SDXL refiner behavior and the other is 512x512 size support; different bugs." + }, + { + "left": "issue:4213", + "right": "issue:6055", + "accept": false, + "reason": "Both involve accelerate, but one is from_single_file() loading without it and the other is a generic accelerate error; not the same code path." + }, + { + "left": "issue:4524", + "right": "issue:5866", + "accept": false, + "reason": "AnimateDiff library support vs AnimateDiff+ControlNet compatibility; too broad and not one concrete fix." + }, + { + "left": "issue:4648", + "right": "issue:8906", + "accept": false, + "reason": "Missing config.json on load vs a qk_norm architecture question in SD3; unrelated." + }, + { + "left": "issue:4668", + "right": "issue:6524", + "accept": false, + "reason": "Different LoRA bugs: weird outputs for Kohya-style LoRA vs reloading a LoRA a second time." + }, + { + "left": "issue:4672", + "right": "issue:8540", + "accept": false, + "reason": "Both are training-related, but one is VRAM reduction for SDXL LoRA and the other is SD3 DreamBooth embedding/VAE caching; different changes." + }, + { + "left": "issue:4680", + "right": "issue:5980", + "accept": false, + "reason": "SDXL inpainting fine-tuning vs ControlNet SDXL model file format question; unrelated." + }, + { + "left": "issue:4991", + "right": "issue:6958", + "accept": false, + "reason": "Accelerate dataloader wiring bug vs missing use_linear_projection in unet_motion_model; different subsystems." + }, + { + "left": "issue:5258", + "right": "issue:8241", + "accept": false, + "reason": "ControlNet refiner support vs LEDITS++ model size anomaly; no common underlying bug." + }, + { + "left": "issue:5285", + "right": "issue:6928", + "accept": false, + "reason": "Docs translation request vs adding a depthmap colorization toggle; unrelated." + }, + { + "left": "issue:5598", + "right": "issue:5981", + "accept": false, + "reason": "Different code paths: _modify_text_encoder bug vs DPMSolverMultistepScheduler bug." + }, + { + "left": "issue:5783", + "right": "issue:8588", + "accept": false, + "reason": "SDXL EMA training issue vs missing SD3 conversion script; unrelated." + }, + { + "left": "issue:6141", + "right": "issue:8390", + "accept": false, + "reason": "ControlNet parameter support request vs Stable Cascade ControlNet training topic; not the same fix." + }, + { + "left": "issue:6242", + "right": "issue:7879", + "accept": false, + "reason": "Dataset/log request on fill50k vs pokemon-blip-captions dataset issue; unrelated." + }, + { + "left": "issue:6354", + "right": "issue:9958", + "accept": false, + "reason": "LoRA support for ControlNet vs AutoencoderKLTemporalDecoder tiling support; different features." + }, + { + "left": "issue:6359", + "right": "issue:7341", + "accept": false, + "reason": "Scheduler v_prediction bug vs TorchVersion/Version comparison TypeError; unrelated." + }, + { + "left": "issue:6439", + "right": "issue:9396", + "accept": false, + "reason": "Broken fp16 docs link vs Korean docs translation; unrelated docs tasks." + }, + { + "left": "issue:6481", + "right": "issue:9350", + "accept": false, + "reason": "DreamBooth batch-size bug vs SD3 txt_ids deprecation warning; different training/model inputs." + }, + { + "left": "issue:6725", + "right": "issue:9488", + "accept": false, + "reason": "Different pipelines and symptoms: LDMPipeline image generation vs Lumina failing to generate any image." + }, + { + "left": "issue:6949", + "right": "issue:9007", + "accept": false, + "reason": "Both scheduler-output issues, but the conditions differ (even step numbers vs 3-order black output); not clearly one bug." + }, + { + "left": "issue:7636", + "right": "issue:8405", + "accept": false, + "reason": "Usage question about SDXL tile ControlNet vs tensor-size error with multiple ControlNets; different problem types." + }, + { + "left": "issue:8320", + "right": "issue:9846", + "accept": false, + "reason": "Both touch from_single_file(), but they fail on different model classes and different missing support; too dissimilar to merge." + }, + { + "left": "issue:8960", + "right": "issue:9850", + "accept": false, + "reason": "Gradient accumulation example bug vs gradient checkpointing with frozen model support; unrelated training concerns." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 276, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10191", + "issue:1083", + "issue:11208", + "issue:12012", + "issue:13073", + "issue:1323", + "issue:13300", + "issue:1495", + "issue:1534", + "issue:1608", + "issue:1672", + "issue:193", + "issue:1946", + "issue:2578", + "issue:3116", + "issue:3222", + "issue:3338", + "issue:3908", + "issue:4043", + "issue:4297", + "issue:4356", + "issue:4361", + "issue:4615", + "issue:4646", + "issue:4692", + "issue:5281", + "issue:5433", + "issue:5619", + "issue:5770", + "issue:6351", + "issue:6742", + "issue:7054", + "issue:746", + "issue:7592", + "issue:7636", + "issue:7660", + "issue:8429", + "issue:8523", + "issue:9112", + "issue:9178", + "issue:9361", + "issue:9471", + "issue:9495", + "issue:9602", + "issue:9850", + "issue:9902", + "issue:9962" + ], + "soft_pairs": [ + "issue:9178|issue:9361", + "issue:9902|issue:9962", + "issue:4361|issue:4692", + "issue:7636|issue:9495", + "issue:12012|issue:9471", + "issue:8429|issue:9112", + "issue:3116|issue:3908", + "issue:7054|issue:7592", + "issue:10191|issue:9602", + "issue:1608|issue:1946", + "issue:4043|issue:5619", + "issue:13073|issue:13300", + "issue:6742|issue:9850", + "issue:1495|issue:2578", + "issue:1672|issue:3222", + "issue:5281|issue:8523", + "issue:5770|issue:6351", + "issue:1323|issue:4615", + "issue:3338|issue:4356", + "issue:4646|issue:746", + "issue:11208|issue:7660", + "issue:4297|issue:5433", + "issue:1534|issue:193", + "issue:1083|issue:4646" + ], + "prepared_review_unit_hash": "f95d53c979becdbb5d2d851694dfd9f96ef2ee7fc1bd32139cbb3d3ee7d7f052", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33577, + "estimated_input_tokens": 8395, + "estimated_eval_tokens": 17046 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is highly heterogeneous: these issues span unrelated bugs in training, inference, loading, packaging, and environment setup. None of the soft pairs look like the same concrete defect, so no duplicate merge is warranted.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue fits this cluster; the items describe many unrelated failures across different models, pipelines, and error modes.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue for duplication purposes; the cluster does not center on one underlying bug or change.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9178", + "right": "issue:9361", + "accept": false, + "reason": "One is a Flux LoRA training target-module error; the other is a Flux inference symptom where the LoRA has no effect. Different code paths and failure modes." + }, + { + "left": "issue:9902", + "right": "issue:9962", + "accept": false, + "reason": "Conda version pinning is unrelated to an unexpected keyword argument `use_cuda_graph`; different subsystems." + }, + { + "left": "issue:4361", + "right": "issue:4692", + "accept": false, + "reason": "Shared tensor saving with safetensors is unrelated to UNet2DConditionModel memory behavior." + }, + { + "left": "issue:7636", + "right": "issue:9495", + "accept": false, + "reason": "ControlNet SDXL tile usage questions and SDXL PAG+IPAdapter breakage are different pipeline/features, not the same bug." + }, + { + "left": "issue:12012", + "right": "issue:9471", + "accept": false, + "reason": "Wan 2.2 cache context-state error is unrelated to a CoreML file-extension/resource-type inference error." + }, + { + "left": "issue:8429", + "right": "issue:9112", + "accept": false, + "reason": "I2VGen-XL inference script problems and Auraflow tensor-shape mismatch are model-specific, unrelated failures." + }, + { + "left": "issue:3116", + "right": "issue:3908", + "accept": false, + "reason": "A scheduler noise bug in img2img is unrelated to Streamlit model caching." + }, + { + "left": "issue:7054", + "right": "issue:7592", + "accept": false, + "reason": "Both concern loading state dicts, but one empties the input dict in LoRA loading while the other misses keys during DoRA loading; different bugs and fixes." + }, + { + "left": "issue:10191", + "right": "issue:9602", + "accept": false, + "reason": "GPU device selection during training is unrelated to adapter-name lookup failing in a different subsystem." + }, + { + "left": "issue:1608", + "right": "issue:1946", + "accept": false, + "reason": "Training stopping at 500 steps on T4 is not the same as an xformers CUDA invalid-argument error." + }, + { + "left": "issue:4043", + "right": "issue:5619", + "accept": false, + "reason": "SDXL pooled-prompt-embed requirements and AutoencodeTiny img2img encoding are different pipeline requirements." + }, + { + "left": "issue:13073", + "right": "issue:13300", + "accept": false, + "reason": "Unsupported guidance_scale in ZImageControlNetPipeline is a different issue from CPU failures on SD3.5/FLUX generation." + }, + { + "left": "issue:6742", + "right": "issue:9850", + "accept": false, + "reason": "Both mention checkpointing, but one is a motion-block behavioral difference and the other is making gradient checkpointing work with frozen models; not the same defect." + }, + { + "left": "issue:1495", + "right": "issue:2578", + "accept": false, + "reason": "Missing `init_git_repo` import and editable-install failure are separate packaging/import issues." + }, + { + "left": "issue:1672", + "right": "issue:3222", + "accept": false, + "reason": "Incorrect image size after conversion and missing custom diffusion weight output after training are unrelated outcomes." + }, + { + "left": "issue:5281", + "right": "issue:8523", + "accept": false, + "reason": "Device-mismatch errors with CPU offload across XL pipelines and a playground CUDA error are too broad and not the same concrete bug." + }, + { + "left": "issue:5770", + "right": "issue:6351", + "accept": false, + "reason": "Dataset access blocking an LCM distillation pipeline is unrelated to DDP missing `disable_adapters`." + }, + { + "left": "issue:1323", + "right": "issue:4615", + "accept": false, + "reason": "Flax dtype loading and a missing ControlNet pipeline import are distinct issues." + }, + { + "left": "issue:3338", + "right": "issue:4356", + "accept": false, + "reason": "Slow import performance and a missing dummy module are unrelated packaging/runtime problems." + }, + { + "left": "issue:4646", + "right": "issue:746", + "accept": false, + "reason": "Both involve ONNX, but one is a failed conversion and the other is a revision/loading problem; different stages and root causes." + }, + { + "left": "issue:11208", + "right": "issue:7660", + "accept": false, + "reason": "Unsupported MultiControlNetModel in a specific pipeline is unrelated to a trace example failure." + }, + { + "left": "issue:4297", + "right": "issue:5433", + "accept": false, + "reason": "Both mention artifacts, but one is batched SDXL img2img fishnet artifacts and the other is DPM++/no-refiner visual artifacts; different code paths and likely causes." + }, + { + "left": "issue:1534", + "right": "issue:193", + "accept": false, + "reason": "Dreambooth notebook errors and a generic pipeline error are too vague and not clearly the same bug." + }, + { + "left": "issue:1083", + "right": "issue:4646", + "accept": false, + "reason": "FP16 ONNX incorrect output and ControlNet-to-ONNX conversion failure are both ONNX-related but describe different problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 277, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10281", + "issue:10282", + "issue:10596", + "issue:10653", + "issue:1076", + "issue:10869", + "issue:10940", + "issue:11241", + "issue:11519", + "issue:11574", + "issue:12025", + "issue:12060", + "issue:12221", + "issue:12299", + "issue:12319", + "issue:12373", + "issue:12489", + "issue:12505", + "issue:12535", + "issue:12754", + "issue:13279", + "issue:13430", + "issue:13488", + "issue:1440", + "issue:1633", + "issue:1934", + "issue:2153", + "issue:2437", + "issue:2763", + "issue:2858", + "issue:3401", + "issue:4059", + "issue:4104", + "issue:4551", + "issue:4631", + "issue:5546", + "issue:5953", + "issue:6533", + "issue:7223", + "issue:7370", + "issue:7629", + "issue:7732", + "issue:7895", + "issue:7935", + "issue:8552", + "issue:9007", + "issue:9516", + "issue:968" + ], + "soft_pairs": [ + "issue:12319|issue:13488", + "issue:2437|issue:6533", + "issue:4631|issue:9007", + "issue:5953|issue:7629", + "issue:10869|issue:12299", + "issue:11241|issue:8552", + "issue:2153|issue:4104", + "issue:1934|issue:2763", + "issue:3401|issue:4551", + "issue:7223|issue:7370", + "issue:10653|issue:12489", + "issue:10281|issue:11519", + "issue:1440|issue:968", + "issue:1633|issue:2858", + "issue:7895|issue:9516", + "issue:10282|issue:11574", + "issue:12505|issue:12754", + "issue:12535|issue:13279", + "issue:10596|issue:12025", + "issue:1076|issue:4059", + "issue:10940|issue:7935", + "issue:12060|issue:12373", + "issue:12221|issue:13430", + "issue:5546|issue:7732" + ], + "prepared_review_unit_hash": "d7c81afed7944278937a01f7cfd3446f867305d6a4dfa9b44d780ad5a8354609", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33963, + "estimated_input_tokens": 8491, + "estimated_eval_tokens": 17238 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a heterogeneous set of issues, not a duplicate cluster. The soft pairs mostly share broad subsystems (offloading, schedulers, loading, shape mismatches) but describe different concrete failures or feature requests, so none should be merged as duplicates.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:10869 is the cleanest, most concrete bug report in the set: a narrowly scoped meta-tensor failure with an explicit error and clear reproducer target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12319", + "right": "issue:13488", + "accept": false, + "reason": "Both touch offloading, but one is broken group offloading by block_level and the other is from_pipe defaulting to float32; different bugs." + }, + { + "left": "issue:2437", + "right": "issue:6533", + "accept": false, + "reason": "T2I-Adapter pipeline request vs Marigold depth pipeline support; different features, not the same underlying change." + }, + { + "left": "issue:4631", + "right": "issue:9007", + "accept": false, + "reason": "Both involve DPMSolverSinglestepScheduler, but one is a scalar conversion error with karras sigmas and the other is black output with 3rd-order steps; not the same bug." + }, + { + "left": "issue:5953", + "right": "issue:7629", + "accept": false, + "reason": "ControlNet image/control_image size mismatch crash vs PyTorch 1.13.1 OOM; unrelated failure modes." + }, + { + "left": "issue:10869", + "right": "issue:12299", + "accept": false, + "reason": "Meta-tensor .item() failure vs SD3 negative-prompt embedding tensor mismatch; different code paths and symptoms." + }, + { + "left": "issue:11241", + "right": "issue:8552", + "accept": false, + "reason": "Flux ControlNet floating-point exception vs TextToVideoZeroPipeline segfault; both crashes, but not the same bug." + }, + { + "left": "issue:2153", + "right": "issue:4104", + "accept": false, + "reason": "GTX 1660 float16 runtime error vs black image/invalid cast; unrelated issues." + }, + { + "left": "issue:1934", + "right": "issue:2763", + "accept": false, + "reason": "Both discuss memory usage, but cpu_offload VRAM overhead and ControlNet cudnn.benchmark VRAM growth are different problems." + }, + { + "left": "issue:3401", + "right": "issue:4551", + "accept": false, + "reason": "class_labels required when num_class_embeds > 0 vs SDXL dreambooth crash; different model/config issues." + }, + { + "left": "issue:7223", + "right": "issue:7370", + "accept": false, + "reason": "Latte support vs OpenSora STDiT support request; separate model integrations." + }, + { + "left": "issue:10653", + "right": "issue:12489", + "accept": false, + "reason": "bitsandbytes .to() unsupported on HunyuanVideoTransformer3DModel vs CUDA kernel compatibility error in ControlNet; distinct failures." + }, + { + "left": "issue:10281", + "right": "issue:11519", + "accept": false, + "reason": "New scheduler request (FreeScale) vs MAGI-1 support request; both are feature asks, not duplicates." + }, + { + "left": "issue:1440", + "right": "issue:968", + "accept": false, + "reason": "Delete cached model request vs model loading latency report; different product concerns." + }, + { + "left": "issue:1633", + "right": "issue:2858", + "accept": false, + "reason": "Karras sigmas option in k_diffusion wrapper vs seeding image for unclip img2img; different pipeline features." + }, + { + "left": "issue:7895", + "right": "issue:9516", + "accept": false, + "reason": "Flax memory_efficient_attention broken vs FLUX joint_attention_kwargs not passed; separate implementation bugs." + }, + { + "left": "issue:10282", + "right": "issue:11574", + "accept": false, + "reason": "Shape mismatch on x_embedder.weight while loading vs KeyError for vae.encoder.conv_out.conv.weight; both loading errors, but not the same model-path issue." + }, + { + "left": "issue:12505", + "right": "issue:12754", + "accept": false, + "reason": "tgate error in img2img pipelines vs from_pipe converting to float32 by default; unrelated behavior." + }, + { + "left": "issue:12535", + "right": "issue:13279", + "accept": false, + "reason": "Wan2.2 Lightning LoRA loading failure vs AutoencoderRAE loading with older transformers; different compatibility problems." + }, + { + "left": "issue:10596", + "right": "issue:12025", + "accept": false, + "reason": "FluxControlPipeline shape error vs Cosmos VAE Encoder invalid API call; different pipelines and error sources." + }, + { + "left": "issue:1076", + "right": "issue:4059", + "accept": false, + "reason": "Generic stable-diffusion-v1-5 question vs ControlNetReferencePipeline bug/question; not the same issue." + }, + { + "left": "issue:10940", + "right": "issue:7935", + "accept": false, + "reason": "Missing triton.ops import vs missing config.json for a model repo; unrelated loading problems." + }, + { + "left": "issue:12060", + "right": "issue:12373", + "accept": false, + "reason": "Question about DiT blocks vs Unlearn API request; different API/feature topics." + }, + { + "left": "issue:12221", + "right": "issue:13430", + "accept": false, + "reason": "Community request for DiffSynth ControlNet support vs support for JoyAI-Image-Edit; separate feature requests." + }, + { + "left": "issue:5546", + "right": "issue:7732", + "accept": false, + "reason": "Karras-sigmas step-count bug in scheduler ensemble vs StableDiffusionXL ControlNet+Refiner runtime error; same broad area, but not the same concrete defect." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 278, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10282", + "issue:10411", + "issue:10450", + "issue:10514", + "issue:10591", + "issue:10659", + "issue:1070", + "issue:10920", + "issue:10950", + "issue:1195", + "issue:12022", + "issue:12216", + "issue:12319", + "issue:1811", + "issue:2097", + "issue:2392", + "issue:2437", + "issue:2967", + "issue:3251", + "issue:3347", + "issue:3574", + "issue:3622", + "issue:3698", + "issue:3876", + "issue:4665", + "issue:4720", + "issue:4767", + "issue:5607", + "issue:5777", + "issue:5907", + "issue:5927", + "issue:599", + "issue:6073", + "issue:6958", + "issue:6964", + "issue:7056", + "issue:725", + "issue:7264", + "issue:7538", + "issue:7950", + "issue:8277", + "issue:8824", + "issue:8832", + "issue:9109", + "issue:9161", + "issue:9171", + "issue:9464", + "issue:9558" + ], + "soft_pairs": [ + "issue:599|issue:725", + "issue:3876|issue:6964", + "issue:1070|issue:4720", + "issue:7538|issue:8824", + "issue:2437|issue:5927", + "issue:7950|issue:8832", + "issue:10514|issue:10659", + "issue:10920|issue:9171", + "issue:12022|issue:9109", + "issue:9161|issue:9464", + "issue:2392|issue:3347", + "issue:10282|issue:5607", + "issue:10450|issue:10591", + "issue:10950|issue:12319", + "issue:1195|issue:1811", + "issue:3622|issue:5777", + "issue:3698|issue:7264", + "issue:2097|issue:2967", + "issue:6073|issue:7056", + "issue:10411|issue:8277", + "issue:4767|issue:5907", + "issue:12216|issue:9558", + "issue:3251|issue:6958", + "issue:3574|issue:4665" + ], + "prepared_review_unit_hash": "88621e9da1c4ad6f2d2ae69fab06a87172c2b3c47828d1a2ca707b805da564c6", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34132, + "estimated_input_tokens": 8533, + "estimated_eval_tokens": 17322 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated GitHub issues that only share broad subsystem keywords (inpainting, training scripts, schedulers, loading, etc.). No soft pair looks like the same concrete bug/change with enough specificity to merge or deduplicate confidently.", + "confidence": 0.33, + "canonical_issue_reason": "Issue 725 is the clearest, most actionable core issue in the set: it targets a concrete loading/memory capability in DiffusionPipeline and is broader than the other narrowly scoped bug reports.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 725 is the best representative issue here because it is specific, technically substantive, and tied to a reusable code-path rather than a user-specific setup question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:599", + "right": "issue:725", + "accept": false, + "reason": "Different requests: Deepspeed integration vs. device_map/accelerate loading support. Same area, not the same bug." + }, + { + "left": "issue:3876", + "right": "issue:6964", + "accept": false, + "reason": "Both mention ControlNet inpainting, but one is a demo/error report and the other is a 4-channel UNet incompatibility. Not the same failure." + }, + { + "left": "issue:1070", + "right": "issue:4720", + "accept": false, + "reason": "Both touch inpainting, but one is a generic new-version bug and the other is AutoencoderTiny compatibility with img2img/inpainting pipelines." + }, + { + "left": "issue:7538", + "right": "issue:8824", + "accept": false, + "reason": "Different dataset/training guidance questions for different workflows; no shared concrete bug." + }, + { + "left": "issue:2437", + "right": "issue:5927", + "accept": false, + "reason": "Different pipeline features (T2I-Adapter vs IP-Adapter/reference inpaint). Same broad area only." + }, + { + "left": "issue:7950", + "right": "issue:8832", + "accept": false, + "reason": "PyTorch/Diffusers version incompatibility vs a generic pipeline crash. No evidence of the same root cause." + }, + { + "left": "issue:10514", + "right": "issue:10659", + "accept": false, + "reason": "Different models and problems: Sana resolution binning limit vs ConsisID output quality." + }, + { + "left": "issue:10920", + "right": "issue:9171", + "accept": false, + "reason": "Both involve scheduler/prediction-type behavior, but one is DDIMInverse infs and the other is from_single_file regression for SD1.5 v_prediction. Distinct bugs." + }, + { + "left": "issue:12022", + "right": "issue:9109", + "accept": false, + "reason": "Completely different code paths: flash-attention interface mismatch vs torchvision nms operator availability." + }, + { + "left": "issue:9161", + "right": "issue:9464", + "accept": false, + "reason": "Same training script family, but one is distributed bugs and the other is a prodigy/train_text_encoder IndexError. Not the same issue." + }, + { + "left": "issue:2392", + "right": "issue:3347", + "accept": false, + "reason": "One is an img2img prompt_embeds validation error; the other is NaN image output from a text-to-image pipeline. Different symptoms and causes." + }, + { + "left": "issue:10282", + "right": "issue:5607", + "accept": false, + "reason": "Both are shape-mismatch errors, but they involve different models and different tensors; too generic to treat as duplicates." + }, + { + "left": "issue:10450", + "right": "issue:10591", + "accept": false, + "reason": "Flux transformer-block architecture mismatch vs an SD3 LoRA training script problem. Not the same bug." + }, + { + "left": "issue:10950", + "right": "issue:12319", + "accept": false, + "reason": "Docs broken vs broken group offloading runtime behavior. Different artifact types and problems." + }, + { + "left": "issue:1195", + "right": "issue:1811", + "accept": false, + "reason": "Memory-efficient attention fp16 bug vs from_pretrained downloading both bin and safetensors. No overlap in root cause." + }, + { + "left": "issue:3622", + "right": "issue:5777", + "accept": false, + "reason": "Tutorial import error vs pixart dreambooth training error; unrelated." + }, + { + "left": "issue:3698", + "right": "issue:7264", + "accept": false, + "reason": "Converting an inpainting model to diffusers is a feature request, while the other is a serialization/load bug for custom transformers models." + }, + { + "left": "issue:2097", + "right": "issue:2967", + "accept": false, + "reason": "Both are about UNet1D, but the titles are too generic to prove the same underlying bug; likely separate user reports." + }, + { + "left": "issue:6073", + "right": "issue:7056", + "accept": false, + "reason": "Different training setup questions: SDXL DreamBooth README error vs LoRA fine-tuning with train_text_encoder." + }, + { + "left": "issue:10411", + "right": "issue:8277", + "accept": false, + "reason": "One is how to start training LoRA weights from an example, the other is a convergence complaint. Not the same issue." + }, + { + "left": "issue:4767", + "right": "issue:5907", + "accept": false, + "reason": "Scheduler prediction_type support question vs constructor/docs mismatch for a different scheduler class." + }, + { + "left": "issue:12216", + "right": "issue:9558", + "accept": false, + "reason": "Different symptoms and domains: model quality regression vs black validation image in TensorBoard." + }, + { + "left": "issue:3251", + "right": "issue:6958", + "accept": false, + "reason": "ControlNet Shuffle guidance behavior vs a missing use_linear_projection setting in unet_motion_model. Different code paths." + }, + { + "left": "issue:3574", + "right": "issue:4665", + "accept": false, + "reason": "Windows loading problem with from_ckpt vs Windows safetensors/bin selection issue. Related platform, but not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 279, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1037", + "issue:10653", + "issue:11448", + "issue:11872", + "issue:12359", + "issue:13446", + "issue:1556", + "issue:1931", + "issue:2068", + "issue:2201", + "issue:2444", + "issue:2534", + "issue:255", + "issue:2761", + "issue:280", + "issue:2891", + "issue:3238", + "issue:3799", + "issue:3861", + "issue:3948", + "issue:3954", + "issue:4264", + "issue:4391", + "issue:4605", + "issue:4724", + "issue:487", + "issue:5215", + "issue:5216", + "issue:5334", + "issue:5553", + "issue:5578", + "issue:590", + "issue:6176", + "issue:6457", + "issue:6574", + "issue:6811", + "issue:6880", + "issue:7056", + "issue:7421", + "issue:7519", + "issue:7589", + "issue:8393", + "issue:8477", + "issue:8588", + "issue:8943", + "issue:9188", + "issue:9599", + "issue:984" + ], + "soft_pairs": [ + "issue:4724|issue:8393", + "issue:1556|issue:3948", + "issue:2444|issue:6880", + "issue:1931|issue:984", + "issue:5216|issue:7589", + "issue:5553|issue:6176", + "issue:12359|issue:13446", + "issue:1037|issue:280", + "issue:11448|issue:8943", + "issue:2068|issue:3238", + "issue:2534|issue:4605", + "issue:2761|issue:4391", + "issue:4264|issue:8588", + "issue:5334|issue:6457", + "issue:5578|issue:6811", + "issue:7421|issue:7519", + "issue:9188|issue:9599", + "issue:10653|issue:11872", + "issue:255|issue:487", + "issue:3799|issue:3861", + "issue:7056|issue:8477", + "issue:2201|issue:6574", + "issue:3954|issue:590", + "issue:2891|issue:5215" + ], + "prepared_review_unit_hash": "19709bda542d71b100fbe7d003dfcdd1910eff7ec80ccecbcc63a90668c39599", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34136, + "estimated_input_tokens": 8534, + "estimated_eval_tokens": 17324 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: it mixes custom-pipeline/model-loading reports, training/offloading/runtime errors, scheduler bugs, and documentation requests. I do not see a single duplicate set here; the soft pairs look superficially similar but are mostly different concrete failures or doc gaps.", + "confidence": 0.91, + "canonical_issue_reason": "If a canonical issue must be chosen, issue #5553 is the broadest umbrella for the loading/custom-model subset, but it still does not represent the rest of the cluster well.", + "canonical_pr_reason": null, + "best_issue_reason": "#5553 is the most central and general issue among the set, but it is still only a partial fit because many other items are unrelated training, scheduler, or documentation problems.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4724", + "right": "issue:8393", + "accept": false, + "reason": "Different bugs: SDXL img2img behavior vs slow checkpoint shard loading." + }, + { + "left": "issue:1556", + "right": "issue:3948", + "accept": false, + "reason": "Both mention bad image output, but the symptoms differ (black images with NSFW warning vs pale images) and likely have different causes." + }, + { + "left": "issue:2444", + "right": "issue:6880", + "accept": false, + "reason": "Different scripts and failures: dreambooth_inpaint exit error vs custom diffusion retrieve.py problem." + }, + { + "left": "issue:1931", + "right": "issue:984", + "accept": false, + "reason": "Unrelated code paths: dtype mismatch in Stable Diffusion 2 vs F.interpolate breaking for large batch size." + }, + { + "left": "issue:5216", + "right": "issue:7589", + "accept": false, + "reason": "Both are inference failures, but one is an inpainting tensor iteration error and the other is a GLIGEN layout-to-image issue." + }, + { + "left": "issue:5553", + "right": "issue:6176", + "accept": false, + "reason": "Custom model loading failure vs LoRA weight loading after dreambooth_lora training are different concrete problems." + }, + { + "left": "issue:12359", + "right": "issue:13446", + "accept": false, + "reason": "Documentation bug for guidance_scale is not the same as the custom_pipeline trust-check/security issue." + }, + { + "left": "issue:1037", + "right": "issue:280", + "accept": false, + "reason": "Completely different feature requests: a community pipeline addition vs a new scheduler." + }, + { + "left": "issue:11448", + "right": "issue:8943", + "accept": false, + "reason": "Different failures: missing stable-unclip pipeline path vs missing CUDA shared library during install." + }, + { + "left": "issue:2068", + "right": "issue:3238", + "accept": false, + "reason": "from_pretrained dtype conversion behavior is unrelated to converting LoRA safetensors to diffusers format." + }, + { + "left": "issue:2534", + "right": "issue:4605", + "accept": false, + "reason": "Scheduler selection error vs an inpaint-model error in a long-prompt weighting pipeline are different issues." + }, + { + "left": "issue:2761", + "right": "issue:4391", + "accept": false, + "reason": "One is a doc request for UNet1DModel, the other is a default-value/doc inconsistency in StableDiffusionXLPipeline." + }, + { + "left": "issue:4264", + "right": "issue:8588", + "accept": false, + "reason": "Missing example images and missing conversion script are unrelated maintenance tasks." + }, + { + "left": "issue:5334", + "right": "issue:6457", + "accept": false, + "reason": "Both involve training mechanics, but the first is an Accelerate API usage issue and the second is a specific SDXL-LoRA gradient accumulation problem." + }, + { + "left": "issue:5578", + "right": "issue:6811", + "accept": false, + "reason": "Similar surface symptom around model_index.json, but the reported contexts differ and may have different root causes." + }, + { + "left": "issue:7421", + "right": "issue:7519", + "accept": false, + "reason": "Seed reproducibility issue is unrelated to xFormers cross_attention_kwargs being ignored." + }, + { + "left": "issue:9188", + "right": "issue:9599", + "accept": false, + "reason": "Flux outpainting request vs a LoRA-only finetune example request are different feature gaps." + }, + { + "left": "issue:10653", + "right": "issue:11872", + "accept": false, + "reason": "Different performance/runtime issues: unsupported .to() on an 8-bit module vs repeated CPU/GPU offloading inefficiency." + }, + { + "left": "issue:255", + "right": "issue:487", + "accept": false, + "reason": "A shape divisibility/unet_blocks error is not the same as M1 CPU incompatibility." + }, + { + "left": "issue:3799", + "right": "issue:3861", + "accept": false, + "reason": "Type inference for DDPMScheduler.from_pretrained is unrelated to the Pipeline.from_pretrained typo/usage question." + }, + { + "left": "issue:7056", + "right": "issue:8477", + "accept": false, + "reason": "Different training failures: SDXL LoRA train_text_encoder error vs a DistributedDataParallel error in a research script." + }, + { + "left": "issue:2201", + "right": "issue:6574", + "accept": false, + "reason": "Tokenizer padding differences and an SVD pipeline warning about expected tensor range are unrelated." + }, + { + "left": "issue:3954", + "right": "issue:590", + "accept": false, + "reason": "Wrong training step count in multi-GPU vs a typo in the Karras scheduler noise formula are different scheduler bugs." + }, + { + "left": "issue:2891", + "right": "issue:5215", + "accept": false, + "reason": "Unsupported embeds docs mismatch in upscale pipeline vs brightness shift in dark-source upscaling are different issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 280, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10085", + "issue:10111", + "issue:10204", + "issue:10210", + "issue:10475", + "issue:10518", + "issue:10917", + "issue:1127", + "issue:11432", + "issue:1207", + "issue:1273", + "issue:12781", + "issue:13249", + "issue:1704", + "issue:1750", + "issue:2359", + "issue:2402", + "issue:2880", + "issue:3081", + "issue:3366", + "issue:3450", + "issue:3481", + "issue:3978", + "issue:4198", + "issue:4217", + "issue:4480", + "issue:4668", + "issue:5392", + "issue:5693", + "issue:5989", + "issue:6250", + "issue:6256", + "issue:6354", + "issue:6452", + "issue:7054", + "issue:7142", + "issue:725", + "issue:7365", + "issue:7368", + "issue:7575", + "issue:7889", + "issue:8514", + "issue:8700", + "issue:8785", + "issue:8863", + "issue:9415", + "issue:9610", + "issue:989" + ], + "soft_pairs": [ + "issue:4198|issue:989", + "issue:2880|issue:3081", + "issue:5392|issue:7368", + "issue:6354|issue:9610", + "issue:8514|issue:9415", + "issue:10210|issue:7054", + "issue:7575|issue:8863", + "issue:1127|issue:2402", + "issue:1207|issue:1750", + "issue:10111|issue:7889", + "issue:10518|issue:12781", + "issue:4217|issue:5989", + "issue:6256|issue:6452", + "issue:8700|issue:8785", + "issue:11432|issue:13249", + "issue:10204|issue:10475", + "issue:3978|issue:4480", + "issue:10085|issue:7142", + "issue:3366|issue:3450", + "issue:3481|issue:4668", + "issue:5693|issue:6250", + "issue:10917|issue:7365", + "issue:1273|issue:1704", + "issue:2359|issue:725" + ], + "prepared_review_unit_hash": "9e5d3d3dd8652ebd24817862c878b3369b6f5817d74203073af3e5edc5436c8c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33674, + "estimated_input_tokens": 8419, + "estimated_eval_tokens": 17094 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The list is a heterogeneous mix of unrelated issues; the soft pairs mostly share only broad keywords like pipeline, LoRA, MPS, or dtype. None of the candidate pairs look like the same underlying bug or change, so no soft-edge merges are justified.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue: the items span many unrelated bugs, feature requests, and environments rather than one duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative because there is no cohesive duplicate set here.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4198", + "right": "issue:989", + "accept": false, + "reason": "Both are runtime errors, but one is a matmul dtype mismatch in a notebook and the other is a 2-D weight assertion; different failure modes and code paths." + }, + { + "left": "issue:2880", + "right": "issue:3081", + "accept": false, + "reason": "Both mention Colab not running, but they concern different workflows: JAX stable diffusion vs textual inversion." + }, + { + "left": "issue:5392", + "right": "issue:7368", + "accept": false, + "reason": "One asks how to train an unconditional latent diffusion model, the other asks about GLIGEN training; different tasks." + }, + { + "left": "issue:6354", + "right": "issue:9610", + "accept": false, + "reason": "Both are LoRA-related feature requests, but for different pipelines/scripts and different API additions." + }, + { + "left": "issue:8514", + "right": "issue:9415", + "accept": false, + "reason": "Different model families and different errors: EMAModel parallel fine-tuning vs CogVideoX transformer parameter handling." + }, + { + "left": "issue:10210", + "right": "issue:7054", + "accept": false, + "reason": "Img2img quality degradation over iterations is unrelated to load_lora_weights mutating an input state_dict." + }, + { + "left": "issue:7575", + "right": "issue:8863", + "accept": false, + "reason": "Both are shape-related errors, but they occur in different models and with different tensor/object causes." + }, + { + "left": "issue:1127", + "right": "issue:2402", + "accept": false, + "reason": "Both are CUDA-related, but one is an ONNX/DML traceback and the other is Torch built without CUDA; not the same bug." + }, + { + "left": "issue:1207", + "right": "issue:1750", + "accept": false, + "reason": "Different undefined-symbol failures on Debian/VM setups; no evidence they share the same missing symbol or loader issue." + }, + { + "left": "issue:10111", + "right": "issue:7889", + "accept": false, + "reason": "One is about bugs in the FLUX pipeline, the other about single-file checkpoint loading helpers; too broad to be duplicates." + }, + { + "left": "issue:10518", + "right": "issue:12781", + "accept": false, + "reason": "SD3 training-script problems and Discord login are completely unrelated." + }, + { + "left": "issue:4217", + "right": "issue:5989", + "accept": false, + "reason": "Both mention safetensors, but one is slow loading and the other is a bug report in safetensors.torch; different problems." + }, + { + "left": "issue:6256", + "right": "issue:6452", + "accept": false, + "reason": "Separate feature requests for different pipeline parameters: callback_on_step_begin vs masked_image_latents." + }, + { + "left": "issue:8700", + "right": "issue:8785", + "accept": false, + "reason": "Both request PAG support, but for different pipelines/models; they are not the same concrete change." + }, + { + "left": "issue:11432", + "right": "issue:13249", + "accept": false, + "reason": "torch_dtype='auto' loading behavior and LoRA breaking for Z-Image are unrelated." + }, + { + "left": "issue:10204", + "right": "issue:10475", + "accept": false, + "reason": "FluxFill inpainting degradation over iterations is a different issue from SD3 inference quality being worse than validation." + }, + { + "left": "issue:3978", + "right": "issue:4480", + "accept": false, + "reason": "Both involve MPS img2img, but one is general non-functionality and the other is a float16 kernel crash; not enough to treat as the same bug." + }, + { + "left": "issue:10085", + "right": "issue:7142", + "accept": false, + "reason": "LyCORIS batch inference with skip_guidance_layers is unrelated to SDXL-lightning inference differing from webui." + }, + { + "left": "issue:3366", + "right": "issue:3450", + "accept": false, + "reason": "Autocast being stopped by LoRALinearLayer is unrelated to StableDiffusionPipeline.from_ckpt failing on dev." + }, + { + "left": "issue:3481", + "right": "issue:4668", + "accept": false, + "reason": "One is about step-dependent determinism, the other about weird images from a Kohya-style LoRA; different underlying problems." + }, + { + "left": "issue:5693", + "right": "issue:6250", + "accept": false, + "reason": "Both are VAE loading issues, but one is a generic load error and the other is a KeyError for single-file SDXL VAE loading." + }, + { + "left": "issue:10917", + "right": "issue:7365", + "accept": false, + "reason": "A script correctness question for lumina-2.0 is unrelated to pooled_prompt_embeds being overwritten." + }, + { + "left": "issue:1273", + "right": "issue:1704", + "accept": false, + "reason": "A mean-loss calculation question and a question about an attention block are not the same bug." + }, + { + "left": "issue:2359", + "right": "issue:725", + "accept": false, + "reason": "Allowing latent output_type in img2img is unrelated to device_map/accelerate memory-footprint support." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 281, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10798", + "issue:11437", + "issue:12078", + "issue:12097", + "issue:12110", + "issue:13105", + "issue:1353", + "issue:1377", + "issue:1633", + "issue:2500", + "issue:2501", + "issue:2578", + "issue:2780", + "issue:2838", + "issue:2858", + "issue:3052", + "issue:3065", + "issue:3287", + "issue:3481", + "issue:3638", + "issue:4598", + "issue:4923", + "issue:5006", + "issue:5043", + "issue:5112", + "issue:5371", + "issue:5433", + "issue:5485", + "issue:5605", + "issue:5769", + "issue:6506", + "issue:6535", + "issue:6790", + "issue:6812", + "issue:7210", + "issue:725", + "issue:7421", + "issue:7535", + "issue:8233", + "issue:8534", + "issue:8612", + "issue:8671", + "issue:8673", + "issue:8752", + "issue:8792", + "issue:9166", + "issue:9306", + "issue:9539" + ], + "soft_pairs": [ + "issue:2578|issue:4598", + "issue:5769|issue:8671", + "issue:7535|issue:8612", + "issue:5433|issue:8792", + "issue:6506|issue:6535", + "issue:6790|issue:9166", + "issue:11437|issue:12078", + "issue:2780|issue:6812", + "issue:12097|issue:13105", + "issue:5112|issue:5485", + "issue:5043|issue:725", + "issue:8534|issue:8673", + "issue:5006|issue:8233", + "issue:7210|issue:8752", + "issue:3481|issue:7421", + "issue:9306|issue:9539", + "issue:10798|issue:12110", + "issue:1353|issue:1377", + "issue:1633|issue:3287", + "issue:2500|issue:2501", + "issue:2838|issue:4923", + "issue:2858|issue:5605", + "issue:3052|issue:3638", + "issue:3065|issue:5371" + ], + "prepared_review_unit_hash": "d8eefb157d5de2fe2e0f76097da4a25eb1d8890cde53fbe3d25421ec703fb468", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34191, + "estimated_input_tokens": 8548, + "estimated_eval_tokens": 17352 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft duplicate suggestions are overwhelmingly false positives: these issues span unrelated bugs, features, and models. No pair looks like the same underlying change or bug.", + "confidence": 0.97, + "canonical_issue_reason": "No canonical issue: there isn't a coherent duplicate cluster here; the candidates are mostly unrelated and only superficially similar.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 12110 is the most concrete standalone bug report, but it does not serve as a duplicate hub for the rest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2578", + "right": "issue:4598", + "accept": false, + "reason": "Editable-install packaging failure vs missing dependency error; different failure modes." + }, + { + "left": "issue:5769", + "right": "issue:8671", + "accept": false, + "reason": "Mixed-precision correctness question vs redundant code in SD3 LoRA training; not the same bug." + }, + { + "left": "issue:7535", + "right": "issue:8612", + "accept": false, + "reason": "Type-hint incompatibility vs PixArt mixed-precision inference issue." + }, + { + "left": "issue:5433", + "right": "issue:8792", + "accept": false, + "reason": "SDXL DPM++ artifacts without refiner vs generic quality degradation after migration; too broad and different." + }, + { + "left": "issue:6506", + "right": "issue:6535", + "accept": false, + "reason": "Output type bug in StableVideoDiffusion vs scheduler customization request; not the same underlying problem." + }, + { + "left": "issue:6790", + "right": "issue:9166", + "accept": false, + "reason": "LCM state_dict key mismatch vs image overlay behavior; unrelated code paths." + }, + { + "left": "issue:11437", + "right": "issue:12078", + "accept": false, + "reason": "Missing training outputs/validation images vs bad example validation input in Flux control finetuning." + }, + { + "left": "issue:2780", + "right": "issue:6812", + "accept": false, + "reason": "FP16 unscale error in one LoRA script vs dtype mismatch in attention projections; different bugs." + }, + { + "left": "issue:12097", + "right": "issue:13105", + "accept": false, + "reason": "Wan2.2 end-of-run VRAM OOM vs Wan2.1 output noise; different models and symptoms." + }, + { + "left": "issue:5112", + "right": "issue:5485", + "accept": false, + "reason": "ControlNet tensor shape error vs batch inference being slow; one is correctness, the other performance." + }, + { + "left": "issue:5043", + "right": "issue:725", + "accept": false, + "reason": "Feature request for W\u0000rtsch\u0000en LoRA vs device-map/accelerate loading support; not the same change." + }, + { + "left": "issue:8534", + "right": "issue:8673", + "accept": false, + "reason": "Wrong DreamBooth weighting vs missing SD3 attention masks; related subsystem, but different fixes." + }, + { + "left": "issue:5006", + "right": "issue:8233", + "accept": false, + "reason": "BF16 training OOM at the end vs fp16 depth pipeline error; different pipelines and root causes." + }, + { + "left": "issue:7210", + "right": "issue:8752", + "accept": false, + "reason": "Missing named_parameters under accelerate dispatch vs offline from_single_file loading; not the same bug." + }, + { + "left": "issue:3481", + "right": "issue:7421", + "accept": false, + "reason": "Different-step DDIM non-determinism vs seed not working in a k-diffusion pipeline; distinct reproducibility issues." + }, + { + "left": "issue:9306", + "right": "issue:9539", + "accept": false, + "reason": "Wrong device selection in from_pretrained vs float8 index_select limitation; unrelated CogVideoX failures." + }, + { + "left": "issue:10798", + "right": "issue:12110", + "accept": false, + "reason": "Flux quantization/device-combination bug vs UNet1D GaussianFourier init issue; different components." + }, + { + "left": "issue:1353", + "right": "issue:1377", + "accept": false, + "reason": "How to combine a training script with a pipeline vs an import error from transformers." + }, + { + "left": "issue:1633", + "right": "issue:3287", + "accept": false, + "reason": "Optional Karras sigma support in a wrapper pipeline vs support for improved DDPM; different feature requests." + }, + { + "left": "issue:2500", + "right": "issue:2501", + "accept": false, + "reason": "Specific meta-tensor copy failure vs broad test-failure roundup; 2501 is an aggregate, not the same bug." + }, + { + "left": "issue:2838", + "right": "issue:4923", + "accept": false, + "reason": "ControlNet pipeline behavior request vs AudioLDM2 transcript-to-speech feature request; unrelated pipelines." + }, + { + "left": "issue:2858", + "right": "issue:5605", + "accept": false, + "reason": "Adding a seeding image to unCLIP img2img vs per-image caption support for SDXL DreamBooth." + }, + { + "left": "issue:3052", + "right": "issue:3638", + "accept": false, + "reason": "Versatile Diffusion control request vs a new prompt-free diffusion pipeline." + }, + { + "left": "issue:3065", + "right": "issue:5371", + "accept": false, + "reason": "DreamBooth text-encoder LoRA option vs BLIP inpainting pipeline support; different features." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 282, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10729", + "issue:10932", + "issue:10950", + "issue:11047", + "issue:11092", + "issue:1125", + "issue:11486", + "issue:11885", + "issue:12338", + "issue:13311", + "issue:1677", + "issue:1889", + "issue:1919", + "issue:1923", + "issue:2098", + "issue:3149", + "issue:3336", + "issue:3481", + "issue:3811", + "issue:3951", + "issue:4213", + "issue:4353", + "issue:4530", + "issue:4584", + "issue:4638", + "issue:5225", + "issue:5313", + "issue:5594", + "issue:5605", + "issue:5656", + "issue:579", + "issue:5890", + "issue:5903", + "issue:5947", + "issue:5969", + "issue:6136", + "issue:6722", + "issue:7053", + "issue:7730", + "issue:8463", + "issue:8577", + "issue:911", + "issue:9218", + "issue:9397", + "issue:9496", + "issue:9610", + "issue:962", + "issue:9841" + ], + "soft_pairs": [ + "issue:3811|issue:5313", + "issue:5225|issue:9496", + "issue:5594|issue:6722", + "issue:5605|issue:9397", + "issue:5947|issue:8577", + "issue:10932|issue:12338", + "issue:11885|issue:13311", + "issue:1677|issue:2098", + "issue:4584|issue:5890", + "issue:579|issue:911", + "issue:10729|issue:8463", + "issue:4213|issue:4638", + "issue:1125|issue:962", + "issue:1889|issue:3336", + "issue:5656|issue:9610", + "issue:7053|issue:7730", + "issue:10950|issue:11092", + "issue:3149|issue:3481", + "issue:3951|issue:6136", + "issue:4353|issue:5903", + "issue:4530|issue:5969", + "issue:11047|issue:9218", + "issue:11486|issue:9841", + "issue:1919|issue:1923" + ], + "prepared_review_unit_hash": "4b68aa8a5abb7b4cc536230e8d148e3e799945ae1cbb41703aefb8111ec49f4c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33715, + "estimated_input_tokens": 8429, + "estimated_eval_tokens": 17114 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a true duplicate cluster: the soft-linked pairs are mostly unrelated bugs/features across different models, pipelines, and docs/training paths. I would not merge any of the soft edges. If forced to pick a representative issue, #10729 is the clearest concrete bug report, but the cluster is heterogeneous.", + "confidence": 0.84, + "canonical_issue_reason": "#10729 is the most concrete and actionable report here, with a specific traceback and code path (`hooks.remove_hook_from_module()` / `_hf_hook`). It is still not actually duplicate-shaped with the rest of the items.", + "canonical_pr_reason": null, + "best_issue_reason": "#10729 best represents a standalone, well-scoped bug with a clear failure mode and likely reproduction path. The other issues are varied and do not form one underlying problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3811", + "right": "issue:5313", + "accept": false, + "reason": "Both are LoRA-related, but one is about `load_lora_weights` having no effect while the other is about non-revertible fuse behavior; different failure modes and code paths." + }, + { + "left": "issue:5225", + "right": "issue:9496", + "accept": false, + "reason": "SDXL memory/quality complaints versus an SD3 ControlNet forward error; different models and bugs." + }, + { + "left": "issue:5594", + "right": "issue:6722", + "accept": false, + "reason": "SDXL LoRA memory-saving concern and using SigLIP as text encoder are unrelated feature requests." + }, + { + "left": "issue:5605", + "right": "issue:9397", + "accept": false, + "reason": "DreamBooth caption support and Hyper LoRA scheduler support are separate training features, not the same issue." + }, + { + "left": "issue:5947", + "right": "issue:8577", + "accept": false, + "reason": "Diffusion-DPO policy objective and SD3 differential diffusion are unrelated topics." + }, + { + "left": "issue:10932", + "right": "issue:12338", + "accept": false, + "reason": "One is a `torch.compile` recompilation-limit problem in HunyuanVideo; the other is a VAE slicing bug when decoding multiple images." + }, + { + "left": "issue:11885", + "right": "issue:13311", + "accept": false, + "reason": "Both involve FLUX LoRA loading, but they describe different concrete breakages in different versions/models and are not the same fix." + }, + { + "left": "issue:1677", + "right": "issue:2098", + "accept": false, + "reason": "Wrong input type to `StableDiffusionPipeline` and invalid `torch.randn` arguments are unrelated errors." + }, + { + "left": "issue:4584", + "right": "issue:5890", + "accept": false, + "reason": "Checkpoint-resume failure in SDXL LoRA training versus a token-length warning in text-to-image inference; different issues." + }, + { + "left": "issue:579", + "right": "issue:911", + "accept": false, + "reason": "Both mention config problems, but textual inversion missing `config.json` and DreamBooth bad config are distinct failures." + }, + { + "left": "issue:10729", + "right": "issue:8463", + "accept": false, + "reason": "`_hf_hook` deletion error and `NoneType.tokenize` in InstructP2P-SDXL are unrelated bugs." + }, + { + "left": "issue:4213", + "right": "issue:4638", + "accept": false, + "reason": "`from_single_file()` requiring accelerate and SDXL textual inversion not working are different code paths and symptoms." + }, + { + "left": "issue:1125", + "right": "issue:962", + "accept": false, + "reason": "A runtime error in inpaint pipelines and missing non-512x512 support are different inpaint issues." + }, + { + "left": "issue:1889", + "right": "issue:3336", + "accept": false, + "reason": "Both are scheduler-related, but DPM++ SDE variant and DPM-Solver Multistep Inverse Scheduler are not the same change or bug." + }, + { + "left": "issue:5656", + "right": "issue:9610", + "accept": false, + "reason": "Community pipeline LoRA loader support and adding `load_lora_weights` to SD3 img2img are different feature scopes." + }, + { + "left": "issue:7053", + "right": "issue:7730", + "accept": false, + "reason": "UNet3D class conditioning and missing request timeouts are entirely unrelated." + }, + { + "left": "issue:10950", + "right": "issue:11092", + "accept": false, + "reason": "Broken documentation and empty timesteps in SDXL-Turbo img2img are unrelated." + }, + { + "left": "issue:3149", + "right": "issue:3481", + "accept": false, + "reason": "Both involve determinism/seed behavior, but they describe different reproducibility problems and likely different causes." + }, + { + "left": "issue:3951", + "right": "issue:6136", + "accept": false, + "reason": "NaNs in UniDiffuser demo and NaNs in StableDiffusionPipeline on Mac CPU are separate model/platform issues." + }, + { + "left": "issue:4353", + "right": "issue:5903", + "accept": false, + "reason": "General SDXL quality complaints and edge artifacts from non-divisible-by-32 resolutions are not the same bug." + }, + { + "left": "issue:4530", + "right": "issue:5969", + "accept": false, + "reason": "Image artifacts in SDXL refiner and DDIM/ZSNR NaNs are unrelated symptoms." + }, + { + "left": "issue:11047", + "right": "issue:9218", + "accept": false, + "reason": "Missing ControlNet PAG inpaint model and PAG with guess mode are different feature requests." + }, + { + "left": "issue:11486", + "right": "issue:9841", + "accept": false, + "reason": "Training-script xFormers support and a DreamBooth SDXL LoRA TypeError with `use_dora=False` are unrelated." + }, + { + "left": "issue:1919", + "right": "issue:1923", + "accept": false, + "reason": "Missing Python training dependency and missing CUDA libraries in Docker are separate packaging/build problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 283, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10334", + "issue:11148", + "issue:12104", + "issue:1314", + "issue:13286", + "issue:1611", + "issue:1709", + "issue:1791", + "issue:1931", + "issue:2020", + "issue:2044", + "issue:2068", + "issue:2370", + "issue:2674", + "issue:2844", + "issue:3381", + "issue:3481", + "issue:3494", + "issue:4149", + "issue:4159", + "issue:4324", + "issue:4361", + "issue:455", + "issue:4631", + "issue:4668", + "issue:4913", + "issue:5374", + "issue:5578", + "issue:6092", + "issue:6320", + "issue:6359", + "issue:7021", + "issue:7142", + "issue:7636", + "issue:7974", + "issue:8234", + "issue:8441", + "issue:8493", + "issue:8509", + "issue:8514", + "issue:852", + "issue:8609", + "issue:8894", + "issue:8960", + "issue:9154", + "issue:9298", + "issue:9343", + "issue:9768" + ], + "soft_pairs": [ + "issue:1314|issue:2844", + "issue:9154|issue:9343", + "issue:2044|issue:2068", + "issue:3481|issue:4149", + "issue:7636|issue:8609", + "issue:8493|issue:8960", + "issue:1709|issue:3381", + "issue:1931|issue:4631", + "issue:2020|issue:5374", + "issue:4668|issue:7974", + "issue:4913|issue:8509", + "issue:5578|issue:6359", + "issue:11148|issue:8514", + "issue:12104|issue:13286", + "issue:2370|issue:6092", + "issue:7021|issue:8441", + "issue:4361|issue:8894", + "issue:10334|issue:9768", + "issue:1611|issue:852", + "issue:3494|issue:7142", + "issue:6320|issue:9298", + "issue:1791|issue:455", + "issue:2674|issue:4159", + "issue:4324|issue:8234" + ], + "prepared_review_unit_hash": "fc4fc7a2493f0c0729462e03bb0a8de68495eaa4efc0bc9cd2126918b5311f64", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34186, + "estimated_input_tokens": 8547, + "estimated_eval_tokens": 17350 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft duplicate edges look safe to merge; the pairs are mostly broad topical similarities (MPS, LoRA, schedulers, loading errors) but describe different code paths and failure modes. No PRs are present.", + "confidence": 0.91, + "canonical_issue_reason": "issue:9343 is the strongest standalone issue to anchor the set: it is open, detailed, and describes a specific reproducible model-loading failure with clear flags (`low_cpu_mem_usage=False`, `ignore_mismatched_sizes=True`).", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9343 is the best issue candidate overall because it is concrete, currently open, and likely actionable without being overly broad.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1314", + "right": "issue:2844", + "accept": false, + "reason": "Different failures: Windows xformers backward error vs explicit image-embedding passing in StableUnCLIPImg2ImgPipeline." + }, + { + "left": "issue:9154", + "right": "issue:9343", + "accept": false, + "reason": "Both involve loading, but one is VAE PT loading and the other is FLUX model loading with different flags and error modes." + }, + { + "left": "issue:2044", + "right": "issue:2068", + "accept": false, + "reason": "Related to dtype handling, but one is DDP lacking `dtype` and the other is `from_pretrained` not converting model dtype." + }, + { + "left": "issue:3481", + "right": "issue:4149", + "accept": false, + "reason": "Different bugs: scheduler-step variation producing different images vs batch prompt/negative-prompt dimension mismatch." + }, + { + "left": "issue:7636", + "right": "issue:8609", + "accept": false, + "reason": "One is a usage/how-to question for SDXL ControlNet tile; the other is a custom pipeline/IP-Adapter integration issue." + }, + { + "left": "issue:8493", + "right": "issue:8960", + "accept": false, + "reason": "Unrelated code paths: SD3 state_dict loading failure vs gradient accumulation behavior in a training example." + }, + { + "left": "issue:1709", + "right": "issue:3381", + "accept": false, + "reason": "Different pipeline bugs: ONNX `.astype` attribute error vs inpaint batch discoloration." + }, + { + "left": "issue:1931", + "right": "issue:4631", + "accept": false, + "reason": "Both are runtime errors, but they stem from different causes: dtype mismatch vs Karras-sigma scalar conversion in a scheduler." + }, + { + "left": "issue:2020", + "right": "issue:5374", + "accept": false, + "reason": "Different conversion/loading errors: dance diffusion converter failure vs unexpected `checkpoint_path` argument." + }, + { + "left": "issue:4668", + "right": "issue:7974", + "accept": false, + "reason": "Both mention bad image output, but they affect different features (Kohya-style LoRA vs inpaint with IP-Adapter)." + }, + { + "left": "issue:4913", + "right": "issue:8509", + "accept": false, + "reason": "Not the same change: a specific ControlNet model page/issue vs a separate ControlNet++ topic." + }, + { + "left": "issue:5578", + "right": "issue:6359", + "accept": false, + "reason": "Missing `model_index.json` and missing `get_velocity` are different loader/scheduler errors." + }, + { + "left": "issue:11148", + "right": "issue:8514", + "accept": false, + "reason": "PEFT adapter loading state bug is unrelated to EMAModel parallel fine-tuning failure." + }, + { + "left": "issue:12104", + "right": "issue:13286", + "accept": false, + "reason": "Different problems: an IndexError from empty dimension vs torchao version support/quantization compatibility." + }, + { + "left": "issue:2370", + "right": "issue:6092", + "accept": false, + "reason": "Both concern LoRA training, but one is a GPU capacity question and the other is a training example not updating." + }, + { + "left": "issue:7021", + "right": "issue:8441", + "accept": false, + "reason": "Both involve HF_HOME, but one is an import error and the other is an infinite recursion with relative paths." + }, + { + "left": "issue:4361", + "right": "issue:8894", + "accept": false, + "reason": "Shared tensors/safetensors save issue is unrelated to the CM/CT unconditional training script error." + }, + { + "left": "issue:10334", + "right": "issue:9768", + "accept": false, + "reason": "Both mention NaNs, but one is Sana on Mac/MPS/CPU and the other is torch 2.5 CuDNN SDPA-specific." + }, + { + "left": "issue:1611", + "right": "issue:852", + "accept": false, + "reason": "Different platform/model issues: StableDiffusionMegaPipeline regression vs MPS `device_map` keyword crash." + }, + { + "left": "issue:3494", + "right": "issue:7142", + "accept": false, + "reason": "Different output-quality problems with different schedulers/models; not the same concrete bug." + }, + { + "left": "issue:6320", + "right": "issue:9298", + "accept": false, + "reason": "Remote model lookup failure is unrelated to a PyTorch storage-type deserialization error." + }, + { + "left": "issue:1791", + "right": "issue:455", + "accept": false, + "reason": "Both are MPS-related, but one is pipeline-level unsupported on Mac/MPS and the other is a specific `aten::index.Tensor` op limitation." + }, + { + "left": "issue:2674", + "right": "issue:4159", + "accept": false, + "reason": "LoRA dependency/requirements issue is unrelated to DiffEdit VRAM usage." + }, + { + "left": "issue:4324", + "right": "issue:8234", + "accept": false, + "reason": "Both are TypeErrors, but one is `NoneType` iteration in UNet forward and the other is multiplying a dict `ip_adapter_scale` by a tensor." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 284, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10790", + "issue:11000", + "issue:11136", + "issue:11162", + "issue:11163", + "issue:11661", + "issue:12012", + "issue:124", + "issue:12533", + "issue:12540", + "issue:2107", + "issue:2262", + "issue:2844", + "issue:2961", + "issue:3171", + "issue:3194", + "issue:3883", + "issue:3948", + "issue:4080", + "issue:4134", + "issue:4194", + "issue:4403", + "issue:4557", + "issue:4589", + "issue:4648", + "issue:4720", + "issue:5225", + "issue:5371", + "issue:5593", + "issue:5989", + "issue:6001", + "issue:6157", + "issue:6320", + "issue:6807", + "issue:7456", + "issue:7535", + "issue:7802", + "issue:7842", + "issue:843", + "issue:8551", + "issue:8577", + "issue:8943", + "issue:8950", + "issue:9248", + "issue:9511", + "issue:9613", + "issue:9731" + ], + "soft_pairs": [ + "issue:4403|issue:6157", + "issue:4720|issue:7535", + "issue:5593|issue:6807", + "issue:11661|issue:8950", + "issue:2844|issue:5225", + "issue:4134|issue:7842", + "issue:10790|issue:9511", + "issue:11000|issue:7456", + "issue:11136|issue:12540", + "issue:11162|issue:11163", + "issue:12012|issue:12533", + "issue:124|issue:2961", + "issue:2107|issue:3948", + "issue:2262|issue:3883", + "issue:3171|issue:843", + "issue:4080|issue:4589", + "issue:4080|issue:8577", + "issue:4194|issue:6001", + "issue:4648|issue:8943", + "issue:5371|issue:7802", + "issue:5989|issue:9248", + "issue:6320|issue:8551", + "issue:3194|issue:4557", + "issue:9613|issue:9731" + ], + "prepared_review_unit_hash": "b5031db52ee5be9e3ba7002723b7a2745309bc392fbb20d7ae73e40ae78cfdaf", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32996, + "estimated_input_tokens": 8249, + "estimated_eval_tokens": 16754 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated pipeline bugs, training issues, documentation requests, and a few Wan/Sana/ControlNet topics. None of the proposed soft edges look like the same underlying bug or change, so all should be rejected. No PRs are present.", + "confidence": 0.93, + "canonical_issue_reason": "issue:11162 is the clearest concrete bug among the Wan-related items and has some cross-references, but the overall set is too mixed to treat it as a true canonical for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11162 is the best single representative only in a loose sense: it is a specific, reproducible pipeline defect and is more substantive than the docs/training questions, though it does not match most other items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4403", + "right": "issue:6157", + "accept": false, + "reason": "Both mention runtime failures, but one is a Half LayerNorm kernel issue and the other is ControlNet/IP-Adapter incompatibility; different code paths." + }, + { + "left": "issue:4720", + "right": "issue:7535", + "accept": false, + "reason": "AutoencoderTiny pipeline incompatibility is unrelated to a type-hint mismatch; not the same bug." + }, + { + "left": "issue:5593", + "right": "issue:6807", + "accept": false, + "reason": "AutoPipeline ControlNet conversion failure is unrelated to MPS test collection failures." + }, + { + "left": "issue:11661", + "right": "issue:8950", + "accept": false, + "reason": "Different bugs in different areas: flux-control training arg handling vs SD3 LoRA training behavior." + }, + { + "left": "issue:2844", + "right": "issue:5225", + "accept": false, + "reason": "StableUnCLIP image-embedding input error is unrelated to SDXL VRAM exhaustion." + }, + { + "left": "issue:4134", + "right": "issue:7842", + "accept": false, + "reason": "MPS ControlNet tensor-size mismatch and DeepFloyd stage-2 size mismatch are distinct model/pipeline failures." + }, + { + "left": "issue:10790", + "right": "issue:9511", + "accept": false, + "reason": "CPU offload VRAM reduction for Flux ControlNet is not the same as multi-ControlNet batching support." + }, + { + "left": "issue:11000", + "right": "issue:7456", + "accept": false, + "reason": "Wan I2V missing shift argument is a specific API bug, while the other is a generic missing-raise report." + }, + { + "left": "issue:11136", + "right": "issue:12540", + "accept": false, + "reason": "Sana SCM timestep support and Sana combined timestep guidance embeddings are related to Sana but target different incompatible behaviors." + }, + { + "left": "issue:11162", + "right": "issue:11163", + "accept": false, + "reason": "Both are WanImageToVideoPipeline issues, but one is offloading-related and the other is latent-preparation math; different defects." + }, + { + "left": "issue:12012", + "right": "issue:12533", + "accept": false, + "reason": "Wan 2.2 first-block-cache context error is unrelated to hooks conflicts between context parallelism and CPU offload." + }, + { + "left": "issue:124", + "right": "issue:2961", + "accept": false, + "reason": "A documentation request for dataset creation is not the same as a StableUnCLIP training example request." + }, + { + "left": "issue:2107", + "right": "issue:3948", + "accept": false, + "reason": "Low-resolution black/glitchy images and pale generated images are different image-quality problems with different causes." + }, + { + "left": "issue:2262", + "right": "issue:3883", + "accept": false, + "reason": "LoRA usage question is unrelated to a dreambooth compatibility issue." + }, + { + "left": "issue:3171", + "right": "issue:843", + "accept": false, + "reason": "LPW prompt support for controlnet and prompt syntax documentation are both feature/docs topics, but not the same request." + }, + { + "left": "issue:4080", + "right": "issue:4589", + "accept": false, + "reason": "Adding SDXL inpainting and asking for SDXL ControlNet img2img/inpaint pipelines are related area-wise but distinct feature requests." + }, + { + "left": "issue:4080", + "right": "issue:8577", + "accept": false, + "reason": "SDXL inpainting pipeline request is unrelated to Differential Diffusion with SD3." + }, + { + "left": "issue:4194", + "right": "issue:6001", + "accept": false, + "reason": "Single-file VAE failure and refiner returning the wrong pipeline are different pipeline-loading bugs." + }, + { + "left": "issue:4648", + "right": "issue:8943", + "accept": false, + "reason": "Missing config.json for a local ControlNet directory is unrelated to a libtorch shared library install error." + }, + { + "left": "issue:5371", + "right": "issue:7802", + "accept": false, + "reason": "BLIP inpainting support and OLSS scheduler support are separate feature requests." + }, + { + "left": "issue:5989", + "right": "issue:9248", + "accept": false, + "reason": "A safetensors.torch bug is not the same as a pip install command/request." + }, + { + "left": "issue:6320", + "right": "issue:8551", + "accept": false, + "reason": "Emu2 remote model lookup and SDXL inpaint VAE device placement are unrelated bugs." + }, + { + "left": "issue:3194", + "right": "issue:4557", + "accept": false, + "reason": "Bitsandbytes package metadata error is unrelated to the super __getattr__ AttributeError." + }, + { + "left": "issue:9613", + "right": "issue:9731", + "accept": false, + "reason": "Timesteps.scale regression and Playground2.5 LoRA training guidance are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 285, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10191", + "issue:1061", + "issue:10887", + "issue:11962", + "issue:1439", + "issue:175", + "issue:1801", + "issue:1896", + "issue:2024", + "issue:2202", + "issue:2392", + "issue:2439", + "issue:2772", + "issue:2883", + "issue:351", + "issue:4122", + "issue:4213", + "issue:4529", + "issue:4593", + "issue:4885", + "issue:4888", + "issue:5112", + "issue:5284", + "issue:5432", + "issue:5463", + "issue:5703", + "issue:5968", + "issue:5972", + "issue:6359", + "issue:6793", + "issue:7041", + "issue:7054", + "issue:7191", + "issue:7264", + "issue:7408", + "issue:7616", + "issue:7681", + "issue:775", + "issue:7757", + "issue:8523", + "issue:8546", + "issue:8556", + "issue:8645", + "issue:9134", + "issue:9181", + "issue:9241", + "issue:9331", + "issue:9941" + ], + "soft_pairs": [ + "issue:4885|issue:5112", + "issue:5703|issue:9181", + "issue:7191|issue:9331", + "issue:7681|issue:9941", + "issue:2772|issue:5463", + "issue:4122|issue:7041", + "issue:7616|issue:8523", + "issue:10191|issue:7757", + "issue:11962|issue:9134", + "issue:2392|issue:6793", + "issue:2024|issue:351", + "issue:4213|issue:775", + "issue:4529|issue:7054", + "issue:4593|issue:5972", + "issue:8546|issue:8556", + "issue:1896|issue:2439", + "issue:1061|issue:175", + "issue:10887|issue:7264", + "issue:1439|issue:1801", + "issue:2202|issue:5284", + "issue:2883|issue:7408", + "issue:4888|issue:5432", + "issue:5968|issue:9241", + "issue:6359|issue:8645" + ], + "prepared_review_unit_hash": "c8eaa891cf70653ed1ba2fad281ea18f867bf6f5f90bf54f7016fe6e13e0593b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34062, + "estimated_input_tokens": 8516, + "estimated_eval_tokens": 17288 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated issues across different subsystems; I only accept one soft duplicate edge in the SD3 `from_single_file` loading path. All other candidate pairs look like different bugs, features, or error modes and should remain separate.", + "confidence": 0.84, + "canonical_issue_reason": "issue:8556 is the most concrete, reproducible report in the only accepted duplicate pair: it pinpoints the SD3 `from_single_file` meta-tensor copy failure, which is more actionable than the broader support request in 8546.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8556 is the best representative issue here because it has a specific failure mode and a clear code path, making it the strongest anchor for triage.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4885", + "right": "issue:5112", + "accept": false, + "reason": "Both mention StableDiffusionXL ControlNet img2img, but one is about LoRA weights not loading and the other is a tensor-shape/type error; different bugs." + }, + { + "left": "issue:5703", + "right": "issue:9181", + "accept": false, + "reason": "`ddim_inverse` noise reconstruction and a stray noise dot in ControlNet are different symptoms and likely different code paths." + }, + { + "left": "issue:7191", + "right": "issue:9331", + "accept": false, + "reason": "A vague import problem is not the same as a specific `FlowMatchEulerDiscreteScheduler.index_for_timestep` bug." + }, + { + "left": "issue:7681", + "right": "issue:9941", + "accept": false, + "reason": "One is an OpenSSL/lib import failure, the other is a Stable Diffusion Colab runtime error; no shared underlying bug is clear." + }, + { + "left": "issue:2772", + "right": "issue:5463", + "accept": false, + "reason": "`train_controlnet.py` rejecting local datasets and an `UnboundLocalError` on `image_latents` are distinct training-script problems." + }, + { + "left": "issue:4122", + "right": "issue:7041", + "accept": false, + "reason": "Wrong timestep count in `DPMSolverMultistepScheduler` is unrelated to a segmentation fault when `num_inference_steps > 1`." + }, + { + "left": "issue:7616", + "right": "issue:8523", + "accept": false, + "reason": "Low-denoise artifacts in Playground 2.5 and a generic CUDA error are not the same bug." + }, + { + "left": "issue:10191", + "right": "issue:7757", + "accept": false, + "reason": "GPU device selection is a different problem from multi-GPU OOM in `train_controlnet_sdxl.py`; same area, different failure." + }, + { + "left": "issue:11962", + "right": "issue:9134", + "accept": false, + "reason": "A feature request for GGUF support and a report about Flux LoRAs trained with SimpleTuner are not the same underlying change/bug." + }, + { + "left": "issue:2392", + "right": "issue:6793", + "accept": false, + "reason": "An `img2img` `prompt_embeds` validation error is unrelated to hydra serialization failures." + }, + { + "left": "issue:2024", + "right": "issue:351", + "accept": false, + "reason": "A corrupted notebook file and a CUDA model-loading issue are unrelated." + }, + { + "left": "issue:4213", + "right": "issue:775", + "accept": false, + "reason": "`from_single_file()` needing accelerate and fp16/autocast issues are different setup/runtime problems." + }, + { + "left": "issue:4529", + "right": "issue:7054", + "accept": false, + "reason": "Both are LoRA-related, but one is an unexpected `network_alpha` kwarg and the other mutates/empties the input state dict; not the same bug." + }, + { + "left": "issue:4593", + "right": "issue:5972", + "accept": false, + "reason": "Automatic1111 LoRA rank handling and Min-SNR documentation are unrelated." + }, + { + "left": "issue:8546", + "right": "issue:8556", + "accept": true, + "reason": "Both are about SD3 `from_single_file` support/loading failure in the same code path; one is the broad support gap, the other the concrete meta-tensor error." + }, + { + "left": "issue:1896", + "right": "issue:2439", + "accept": false, + "reason": "A dict-size type error in CLIP-guided SD and an inpainting loading/running problem are different failures." + }, + { + "left": "issue:1061", + "right": "issue:175", + "accept": false, + "reason": "A notebook/example update request is unrelated to a `torch.manual_seed` correctness question." + }, + { + "left": "issue:10887", + "right": "issue:7264", + "accept": false, + "reason": "A missing `StableDiffusionXLTrainer` import and custom model serialization/loading are different import/API issues." + }, + { + "left": "issue:1439", + "right": "issue:1801", + "accept": false, + "reason": "`FeatureExtractionMixin` missing from transformers and a `getattr()` type error are not the same bug." + }, + { + "left": "issue:2202", + "right": "issue:5284", + "accept": false, + "reason": "OpenVINO pipeline support and ControlNet-LLLite support are separate feature requests." + }, + { + "left": "issue:2883", + "right": "issue:7408", + "accept": false, + "reason": "Image-to-video pipeline and FRESCO pipeline requests are different features." + }, + { + "left": "issue:4888", + "right": "issue:5432", + "accept": false, + "reason": "Offline safetensors loading and blank validation images in SDXL LoRA training are unrelated." + }, + { + "left": "issue:5968", + "right": "issue:9241", + "accept": false, + "reason": "An ONNX conversion script request and an XLab-to-Diffusers LoRA conversion script are different tooling requests." + }, + { + "left": "issue:6359", + "right": "issue:8645", + "accept": false, + "reason": "A scheduler `get_velocity`/`add_noise` issue and a missing `create_diffusers_controlnet_model_from_ldm` helper are unrelated code gaps." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The conclusions are conservative and grounded in the packet. The only accepted soft edge, issue:8546 \u2194 issue:8556, is well supported by the shared SD3 `from_single_file` loading path, and the rejected pairs are reasonably distinguished by different titles/error modes without overstating evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 286, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10198", + "issue:1033", + "issue:10448", + "issue:11036", + "issue:11351", + "issue:11418", + "issue:11580", + "issue:1160", + "issue:11648", + "issue:1304", + "issue:1323", + "issue:1566", + "issue:175", + "issue:2024", + "issue:2068", + "issue:2737", + "issue:2775", + "issue:3184", + "issue:3207", + "issue:3377", + "issue:3612", + "issue:3700", + "issue:3730", + "issue:4210", + "issue:4312", + "issue:4559", + "issue:4708", + "issue:4921", + "issue:5037", + "issue:5245", + "issue:525", + "issue:5256", + "issue:5433", + "issue:5515", + "issue:5685", + "issue:5829", + "issue:5905", + "issue:7054", + "issue:7267", + "issue:7548", + "issue:7921", + "issue:8578", + "issue:8970", + "issue:8975", + "issue:8997", + "issue:9096", + "issue:9147", + "issue:9224" + ], + "soft_pairs": [ + "issue:7054|issue:8975", + "issue:1323|issue:2068", + "issue:1566|issue:5829", + "issue:8970|issue:9224", + "issue:3700|issue:5037", + "issue:7548|issue:9096", + "issue:5515|issue:5685", + "issue:1304|issue:3377", + "issue:175|issue:3207", + "issue:2024|issue:525", + "issue:2775|issue:4210", + "issue:3730|issue:4312", + "issue:4708|issue:9147", + "issue:5256|issue:5905", + "issue:1033|issue:3184", + "issue:7267|issue:8578", + "issue:10198|issue:11418", + "issue:11648|issue:8997", + "issue:10448|issue:11580", + "issue:11036|issue:11351", + "issue:1160|issue:5245", + "issue:2737|issue:4559", + "issue:3612|issue:7921", + "issue:4921|issue:5433" + ], + "prepared_review_unit_hash": "c58462cd49b69b4b9bf82c546230de6b36bacefc56cec3468ffffce01571e052", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33542, + "estimated_input_tokens": 8386, + "estimated_eval_tokens": 17028 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is noisy: the soft-linked pairs are mostly topic-adjacent but not the same underlying bug/change, so no duplicates should be merged.", + "confidence": 0.94, + "canonical_issue_reason": "No 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"issue:3207", + "accept": false, + "reason": "Manual seed usage in example code is unrelated to attention implementation support for torch<2.0." + }, + { + "left": "issue:2024", + "right": "issue:525", + "accept": false, + "reason": "A corrupted notebook file and local image-loading failure are separate problems." + }, + { + "left": "issue:2775", + "right": "issue:4210", + "accept": false, + "reason": "torch._dynamo.optimize misuse and UNet attention_mask handling are different bugs." + }, + { + "left": "issue:3730", + "right": "issue:4312", + "accept": false, + "reason": "Wrong inpainting timestep blending and SAG support for inpainting/img2img are not the same issue." + }, + { + "left": "issue:4708", + "right": "issue:9147", + "accept": false, + "reason": "These are both import-related, but the failures and affected code paths differ." + }, + { + "left": "issue:5256", + "right": "issue:5905", + "accept": false, + "reason": "Adding Insta-Flow training support and requesting diffusion-GAN support are distinct feature requests." + }, + { + "left": "issue:1033", + "right": "issue:3184", + "accept": false, + "reason": "An IndexError in stable_diffusion_mega and generator-list handling in lpw_stable_diffusion are different pipeline bugs." + }, + { + "left": "issue:7267", + "right": "issue:8578", + "accept": false, + "reason": "Broken local data loading in ControlNet training and a meta-tensor copy error in sd_turbo are unrelated failures." + }, + { + "left": "issue:10198", + "right": "issue:11418", + "accept": false, + "reason": "Flux weight mismatch and adding a Flux fp8 checkpoint are adjacent topics, but not the same bug or change." + }, + { + "left": "issue:11648", + "right": "issue:8997", + "accept": false, + "reason": "LoRA loading with an fp8 transformer and a Kolors scheduler error are unrelated." + }, + { + "left": "issue:10448", + "right": "issue:11580", + "accept": false, + "reason": "DDUF mmap loading and FLUX fp8 support are different features." + }, + { + "left": "issue:11036", + "right": "issue:11351", + "accept": false, + "reason": "Latent-condition operations and Wan i2v float32 behavior do not share the same underlying problem." + }, + { + "left": "issue:1160", + "right": "issue:5245", + "accept": false, + "reason": "A pytest hang and a pipenv import freeze are different environments and likely different causes." + }, + { + "left": "issue:2737", + "right": "issue:4559", + "accept": false, + "reason": "CLIP Guidance scheduler support and long weighted prompt support are separate feature requests." + }, + { + "left": "issue:3612", + "right": "issue:7921", + "accept": false, + "reason": "ControlNet preprocessor setup and IP-Adapter guidance timing are related to control features but not the same concrete issue." + }, + { + "left": "issue:4921", + "right": "issue:5433", + "accept": false, + "reason": "Refiner detail loss and DPM++/SDXL artifact reports overlap only at a high level; they are not the same bug." + } + ] + }, + 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"766aff1d3588772a55e4fc1ea7a24bd04f3c351d767bbe80a9a6ddffecb94fea", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33579, + "estimated_input_tokens": 8395, + "estimated_eval_tokens": 17046 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: most items are unrelated bug reports with only superficial keyword overlap (dtype, noise, errors, pipelines). 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different code paths." + }, + { + "left": "issue:1677", + "right": "issue:2228", + "accept": false, + "reason": "One is a wrong-dtype call on StableDiffusionPipeline, the other is a GPU placement/loading problem; not the same underlying defect." + }, + { + "left": "issue:13256", + "right": "issue:5022", + "accept": false, + "reason": "Version-compatibility question versus a specific import NameError; different problems and likely different fixes." + }, + { + "left": "issue:10052", + "right": "issue:6359", + "accept": false, + "reason": "A syntax error report and a scheduler helper/method error are unrelated." + }, + { + "left": "issue:10715", + "right": "issue:11023", + "accept": false, + "reason": "Both describe poor outputs, but one is black images on ROCm and the other is blur in a custom pipeline; not one concrete bug." + }, + { + "left": "issue:12752", + "right": "issue:13429", + "accept": false, + "reason": "Both are about image-edit pipelines/models, but one asks for Z-Image img2img/inpainting support and the other adds a specific model integration." + }, + { + "left": "issue:1717", + "right": "issue:3767", + "accept": false, + "reason": "Offline cached-model loading and FrozenDict mutability are unrelated." + }, + { + "left": "issue:2518", + "right": "issue:5070", + "accept": false, + "reason": "xformers support in an example script and controlnet example flags are different feature requests." + }, + { + "left": "issue:4305", + "right": "issue:5143", + "accept": false, + "reason": "A torch.compile graph break and tiny numerical differences in UNet outputs are not the same bug." + }, + { + "left": "issue:4419", + "right": "issue:7053", + "accept": false, + "reason": "Offset-noise inference behavior and missing class conditioning in UNet3DConditionModel concern different model behaviors." + }, + { + "left": "issue:4605", + "right": "issue:6079", + "accept": false, + "reason": "Long-prompt-weighting inpaint error and a scalar-type half/float mismatch are different failures." + }, + { + "left": "issue:5143", + "right": "issue:5574", + "accept": false, + "reason": "Minor output variation and LoRA attention-parameter training are unrelated." + }, + { + "left": "issue:12613", + "right": "issue:13350", + "accept": false, + "reason": "NaNs in Wan 2.2 i2v and batch-inference usage for FLUX.2 are different model/workflow issues." + }, + { + "left": "issue:6183", + "right": "issue:7591", + "accept": false, + "reason": "Shape issue in conversion code and a local_files_only HeaderTooLarge error are unrelated." + }, + { + "left": "issue:6661", + "right": "issue:9731", + "accept": false, + "reason": "MPS OOM during training and a how-to question about Playground2.5 LoRA training are not the same underlying issue." + }, + { + "left": "issue:11436", + "right": "issue:12632", + "accept": false, + "reason": "Both are dtype mismatch reports, but they involve different models and exact tensor type combinations; not enough evidence they share one root cause." + }, + { + "left": "issue:4480", + "right": "issue:7842", + "accept": false, + "reason": "MPS fp16 kernel crash and an image-size divisibility tensor mismatch are distinct failure modes." + }, + { + "left": "issue:5630", + "right": "issue:8450", + "accept": false, + "reason": "Both mention noise in SDXL img2img/inpainting, but one is about leftover noise from LMS scheduling and the other is strength=1.0 inpainting behavior; too different to merge." + }, + { + "left": "issue:6016", + "right": "issue:6560", + "accept": false, + "reason": "A conversion torch.Size() issue and a LoRA regression shape-size error are separate shape-related bugs, not clearly the same one." + }, + { + "left": "issue:1974", + "right": "issue:3184", + "accept": false, + "reason": "Generator-list handling in Euler schedulers and a community-pipeline feature issue are not the same defect." + }, + { + "left": "issue:1064", + "right": "issue:1961", + "accept": false, + "reason": "A scheduler add_noise error and a generic ColossalAI error are unrelated." + }, + { + "left": "issue:2549", + "right": "issue:2728", + "accept": false, + "reason": "An SD2 UNet model loading/workflow problem and a safetensors-from_pretrained load failure are different model-loading issues." + }, + { + "left": "issue:2941", + "right": "issue:4767", + "accept": false, + "reason": "The first reports undesired SD outputs with EulerAncestralDiscreteScheduler; the second is a feature question about prediction_type='sample' support. Not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 288, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10514", + "issue:10636", + "issue:10768", + "issue:10772", + "issue:1083", + "issue:11047", + "issue:11145", + "issue:11148", + "issue:11561", + "issue:1160", + "issue:1195", + "issue:12037", + "issue:1205", + "issue:12053", + "issue:12108", + "issue:12308", + "issue:12540", + "issue:1284", + "issue:13430", + "issue:1486", + "issue:1535", + "issue:1544", + "issue:2221", + "issue:2412", + "issue:2439", + "issue:2799", + "issue:2844", + "issue:3101", + 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"prepared_review_unit_hash": "dcbc386f4123a7c2ba99a807fdc2c584269c60ce0687966bc24029037431935c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33714, + "estimated_input_tokens": 8429, + "estimated_eval_tokens": 17114 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a set of unrelated issue reports across different pipelines/models; none of the soft-similarity pairs look like true duplicates of the same bug or feature change.", + "confidence": 0.91, + "canonical_issue_reason": "No single canonical issue clearly emerges because the items span unrelated subsystems and failure modes rather than one duplicate thread.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2799 is the strongest representative issue because it is concrete, broadly understandable, and describes a specific pipeline/checkpoint mismatch bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10636", + "right": "issue:8989", + "accept": false, + "reason": "Different problem areas: value_guided_sampling.py internals vs Stable Audio sequential offloading." + }, + { + "left": "issue:487", + "right": "issue:660", + "accept": false, + "reason": "Both involve M1/FP16, but one is a StableDiffusionPipeline CPU failure and the other is an MPS dtype/revision case." + }, + { + "left": "issue:11148", + "right": "issue:12108", + "accept": false, + "reason": "PEFT adapter state bug is unrelated to scheduler flow-matching breakage in Qwen Image/Chroma." + }, + { + "left": "issue:4332", + "right": "issue:984", + "accept": false, + "reason": "xformers support for Kandinsky2.2 is unrelated to a tensor interpolation batch-size issue." + }, + { + "left": "issue:5046", + "right": "issue:5760", + "accept": false, + "reason": "Completely different models and tasks: DragonDiffusion editing vs video-to-audio synthesis." + }, + { + "left": "issue:5274", + "right": "issue:5436", + "accept": false, + "reason": "Both are training errors, but one is a mixed-precision dtype mismatch and the other is a ControlNet XL example failure." + }, + { + "left": "issue:1160", + "right": "issue:5595", + "accept": false, + "reason": "A test hang/freezing bug is not the same as a height/width divisibility validation error." + }, + { + "left": "issue:1083", + "right": "issue:3116", + "accept": false, + "reason": "FP16 ONNX correctness is unrelated to KDPM2DiscreteScheduler latent noise in image2image." + }, + { + "left": "issue:4305", + "right": "issue:5570", + "accept": false, + "reason": "torch.compile graph breaks and missing compute_snr are different regressions in different parts of the stack." + }, + { + "left": "issue:2221", + "right": "issue:2412", + "accept": false, + "reason": "colossalai integration error is unrelated to the dreambooth training issue." + }, + { + "left": "issue:1544", + "right": "issue:3799", + "accept": false, + "reason": "One is a runtime scheduler method bug; the other is a typing/inference issue for from_pretrained." + }, + { + "left": "issue:3101", + "right": "issue:5951", + "accept": false, + "reason": "ControlNet training example errors are not the same as Pixart training issues." + }, + { + "left": "issue:2439", + "right": "issue:2799", + "accept": false, + "reason": "Inpainting pipeline load/run problems are broader and different from checkpoint-pipeline mismatch detection." + }, + { + "left": "issue:10010", + "right": "issue:5578", + "accept": false, + "reason": "Both mention model_index.json, but one is a specific HF URL 404 and the other is a generic OSError on a different path/context." + }, + { + "left": "issue:10514", + "right": "issue:12540", + "accept": false, + "reason": "Both are Sana-related, but resolution binning/sample_size and timestep-guidance embedding compatibility are distinct bugs." + }, + { + "left": "issue:10768", + "right": "issue:11145", + "accept": false, + "reason": "Negative prompt support in Hunyuan video is unrelated to Flux Fill LoRA/dreambooth support." + }, + { + "left": "issue:10772", + "right": "issue:12308", + "accept": false, + "reason": "A Sana ControlNet feature request is unrelated to flash-attn kernel support for non-Hopper GPUs." + }, + { + "left": "issue:11047", + "right": "issue:9220", + "accept": false, + "reason": "Missing PAG inpaint model support is not the same as an undefined variable in PAG pipeline code." + }, + { + "left": "issue:11561", + "right": "issue:13430", + "accept": false, + "reason": "Both ask for support, but they target different models/features and do not share the same code-path bug." + }, + { + "left": "issue:1195", + "right": "issue:3162", + "accept": false, + "reason": "Memory-efficient attention fp16 behavior is unrelated to missing learned_classifier_free_sampling_embeddings." + }, + { + "left": "issue:12037", + "right": "issue:12053", + "accept": false, + "reason": "Both involve LoRA compatibility, but they concern different model families and different incompatibility mechanisms." + }, + { + "left": "issue:1205", + "right": "issue:4436", + "accept": false, + "reason": "These are opposite conversion directions with different formats and pipelines, not the same bug." + }, + { + "left": "issue:1284", + "right": "issue:1486", + "accept": false, + "reason": "Batch-size performance slowdown is unrelated to the DDIMScheduler prediction_type='sample' bug." + }, + { + "left": "issue:1535", + "right": "issue:2844", + "accept": false, + "reason": "A feature request for an image variation pipeline is not the same as an image-embeddings runtime error in StableUnCLIPImg2ImgPipeline." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 289, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1083", + "issue:1284", + "issue:1323", + "issue:1655", + "issue:1909", + "issue:1931", + "issue:201", + "issue:2331", + "issue:2412", + "issue:2414", + "issue:2857", + "issue:3198", + "issue:3441", + "issue:3494", + "issue:3660", + "issue:3980", + "issue:4075", + "issue:4217", + "issue:4308", + "issue:4416", + "issue:4483", + "issue:4789", + "issue:4911", + "issue:499", + "issue:5034", + "issue:5120", + "issue:5166", + "issue:542", + "issue:543", + "issue:5515", + "issue:5598", + "issue:5633", + "issue:5645", + "issue:6028", + "issue:660", + "issue:6688", + "issue:6801", + "issue:6914", + "issue:7240", + "issue:7428", + "issue:7670", + "issue:7785", + "issue:8393", + "issue:8485", + "issue:8555", + "issue:9297", + "issue:9479", + "issue:9813" + ], + "soft_pairs": [ + "issue:1909|issue:4483", + "issue:201|issue:4416", + "issue:2857|issue:7428", + "issue:3198|issue:4911", + "issue:4075|issue:4308", + "issue:4217|issue:7785", + "issue:5598|issue:5633", + "issue:7428|issue:7670", + "issue:8393|issue:9297", + "issue:8485|issue:8555", + "issue:6914|issue:9813", + "issue:6028|issue:9479", + "issue:5515|issue:5645", + "issue:1931|issue:660", + "issue:1284|issue:5034", + "issue:1323|issue:4789", + "issue:2414|issue:6801", + "issue:3441|issue:3660", + "issue:3494|issue:3980", + "issue:1083|issue:542", + "issue:2331|issue:6688", + "issue:2412|issue:5120", + "issue:5166|issue:7240", + "issue:1655|issue:499", + "issue:1655|issue:543" + ], + "prepared_review_unit_hash": "fda077c2fa037a28c7c03b0456927d63e137395866d91f7c78641b1fc71f459a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33590, + "estimated_input_tokens": 8398, + "estimated_eval_tokens": 17052 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: most items are distinct bug reports or feature requests around diffusers pipelines, loading, fp16, and testing, with no strong evidence that any soft pair is the same underlying issue. I would not collapse any of the listed pairs into duplicates.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 2331 has the strongest activity/inbound references and is a central repo topic, but it is a feature request and does not serve as a clear duplicate target for the rest of the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1909", + "right": "issue:4483", + "accept": false, + "reason": "Both mention generators, but one is a scheduler API mismatch and the other is SDXL nondeterminism; different bug paths." + }, + { + "left": "issue:201", + "right": "issue:4416", + "accept": false, + "reason": "Both are test-related, but they concern different test coverage areas and do not describe the same defect." + }, + { + "left": "issue:2857", + "right": "issue:7428", + "accept": false, + "reason": "Both are feature requests for new model support, but they target different models and are not the same change." + }, + { + "left": "issue:3198", + "right": "issue:4911", + "accept": false, + "reason": "Both involve loading, but one is safetensors textual inversion and the other is custom text_encoder loading from a single-file checkpoint." + }, + { + "left": "issue:4075", + "right": "issue:4308", + "accept": false, + "reason": "Both are docstring issues, but they concern different pipelines and different parameter descriptions." + }, + { + "left": "issue:4217", + "right": "issue:7785", + "accept": false, + "reason": "Both are performance complaints, but one is safetensors loading and the other is slow first inference in a later diffusers release." + }, + { + "left": "issue:5598", + "right": "issue:5633", + "accept": false, + "reason": "Different code paths: one is _modify_text_encoder, the other is transformer_temporal.py." + }, + { + "left": "issue:7428", + "right": "issue:7670", + "accept": false, + "reason": "Both are support requests, but for different algorithms/models; not the same underlying feature." + }, + { + "left": "issue:8393", + "right": "issue:9297", + "accept": false, + "reason": "Both mention load time, but one is checkpoint shard loading and the other is loading multiple LoRAs." + }, + { + "left": "issue:8485", + "right": "issue:8555", + "accept": false, + "reason": "Both are SD3-related feature requests, but one asks for LoRA support and the other for FP8/text-encoder training availability." + }, + { + "left": "issue:6914", + "right": "issue:9813", + "accept": false, + "reason": "Both touch IP-Adapter, but one is an offload-time AttributeError and the other is batch embed mixing; different concrete bugs." + }, + { + "left": "issue:6028", + "right": "issue:9479", + "accept": false, + "reason": "CUDA OOM in Kandinsky 3.0 is unrelated to inpaint mask leakage." + }, + { + "left": "issue:5515", + "right": "issue:5645", + "accept": false, + "reason": "Related to LCM, but one is missing scheduler initialization and the other is a broader core-support issue." + }, + { + "left": "issue:1931", + "right": "issue:660", + "accept": false, + "reason": "Both mention fp16, but the failure modes and environments differ: SD2 float16 type mismatch vs MPS revision/dtype use." + }, + { + "left": "issue:1284", + "right": "issue:5034", + "accept": false, + "reason": "These are unrelated: batch-size runtime scaling vs checkpoint-loading progress bar display." + }, + { + "left": "issue:1323", + "right": "issue:4789", + "accept": false, + "reason": "One is a Flax dtype-loading bug; the other is a download failure for DeepFloyd IF." + }, + { + "left": "issue:2414", + "right": "issue:6801", + "accept": false, + "reason": "Different loading problems: missing transformers import vs scheduler loading failure." + }, + { + "left": "issue:3441", + "right": "issue:3660", + "accept": false, + "reason": "Both involve PyTorch 2/xformers, but one is VRAM usage and the other is torch.compile incompatibility." + }, + { + "left": "issue:3494", + "right": "issue:3980", + "accept": false, + "reason": "Both report output differences, but for different causes: multidiffusion with schedulers vs prompt length over 75 tokens." + }, + { + "left": "issue:1083", + "right": "issue:542", + "accept": false, + "reason": "Both are ONNX-related, but one is FP16 incorrect output and the other is a general UNet export issue." + }, + { + "left": "issue:2331", + "right": "issue:6688", + "accept": false, + "reason": "Both are pipeline feature requests, but for different additions: ControlNet vs MotionCntrl." + }, + { + "left": "issue:2412", + "right": "issue:5120", + "accept": false, + "reason": "Both concern Dreambooth, but one is a general usage error and the other is a specific prior-preservation training regression." + }, + { + "left": "issue:5166", + "right": "issue:7240", + "accept": false, + "reason": "Both relate to LDM conversion quality, but one is a missing VQ-VAE scaling factor and the other is low-quality output from a different conditional LDM conversion." + }, + { + "left": "issue:1655", + "right": "issue:499", + "accept": false, + "reason": "Completely different areas: StableDiffusionImageVariation initialization vs an unconditional training script failure." + }, + { + "left": "issue:1655", + "right": "issue:543", + "accept": false, + "reason": "Different problems: pipeline initialization vs a DDP stride warning." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 290, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10178", + "issue:10658", + "issue:10743", + "issue:10914", + "issue:12149", + "issue:12499", + "issue:12565", + "issue:1399", + "issue:1608", + "issue:1755", + "issue:1790", + "issue:2480", + "issue:2783", + "issue:2991", + "issue:3336", + "issue:3452", + "issue:3593", + "issue:3698", + "issue:3805", + "issue:3944", + "issue:4241", + "issue:4551", + "issue:4701", + "issue:4972", + "issue:5050", + "issue:5577", + "issue:5687", + "issue:5761", + "issue:5772", + "issue:5905", + "issue:5907", + "issue:6141", + "issue:6709", + "issue:6793", + "issue:6928", + "issue:7002", + "issue:7053", + "issue:730", + "issue:7636", + "issue:8241", + "issue:8613", + "issue:8943", + "issue:9090", + "issue:9227", + "issue:9241", + "issue:988", + "issue:9902" + ], + "soft_pairs": [ + "issue:10658|issue:6928", + "issue:10743|issue:9227", + "issue:3805|issue:730", + "issue:4701|issue:5761", + "issue:5687|issue:9090", + "issue:5772|issue:7053", + "issue:1608|issue:2991", + "issue:3593|issue:4972", + "issue:1790|issue:2480", + "issue:12149|issue:9902", + "issue:1755|issue:3336", + "issue:2783|issue:6141", + "issue:3452|issue:988", + "issue:3698|issue:5905", + "issue:3944|issue:4241", + "issue:5050|issue:9241", + "issue:12499|issue:12565", + "issue:4551|issue:6709", + "issue:10914|issue:8613", + "issue:5577|issue:6793", + "issue:1399|issue:5907", + "issue:7636|issue:8241", + "issue:10178|issue:7002", + "issue:10010|issue:8943" + ], + "prepared_review_unit_hash": "fb201c40ee1713da07e80e1eaac98039427ead092fc650965e254fd95d97a464", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33493, + "estimated_input_tokens": 8374, + "estimated_eval_tokens": 17004 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the items span unrelated bugs and feature requests across FLUX, Wan, LoRA, ControlNet, schedulers, packaging, and training. All soft pairs look like false positives and should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No canonical issue: there is no single underlying bug/change tying these issues together, so none is a reliable duplicate anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "No best issue: none of the issues subsume the others or represent a shared concrete problem; the cluster is too mixed to nominate a representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10658", + "right": "issue:6928", + "accept": false, + "reason": "ONNX Runtime provider_options support and Marigold depthmap colorization are unrelated features." + }, + { + "left": "issue:10743", + "right": "issue:9227", + "accept": false, + "reason": "Zero-3 support for FLUX training is a different change from a FLUX.1-dev training runtime issue." + }, + { + "left": "issue:3805", + "right": "issue:730", + "accept": false, + "reason": "Both mention Colab/local training, but one is a command failure and the other is a general behavior question." + }, + { + "left": "issue:4701", + "right": "issue:5761", + "accept": false, + "reason": "AutoencoderKL float32 CUDA autograd error is unrelated to a consistency decoder cost discussion." + }, + { + "left": "issue:5687", + "right": "issue:9090", + "accept": false, + "reason": "Both involve repeated timesteps, but they are different scheduler/code-path bugs (Karras img2img vs PNDM)." + }, + { + "left": "issue:5772", + "right": "issue:7053", + "accept": false, + "reason": "A dataset performance question is unrelated to UNet3D class-conditioning behavior." + }, + { + "left": "issue:1608", + "right": "issue:2991", + "accept": false, + "reason": "Training stopping at 500 steps on T4 is not the same bug as mixed-precision ControlNet example failure." + }, + { + "left": "issue:3593", + "right": "issue:4972", + "accept": false, + "reason": "LoRA+xformers second-call failure and wuerstchen example failure are different concrete problems." + }, + { + "left": "issue:1790", + "right": "issue:2480", + "accept": false, + "reason": "A general training explanation request is unrelated to missing unet checkpoint folders in DreamBooth." + }, + { + "left": "issue:12149", + "right": "issue:9902", + "accept": false, + "reason": "These are different packaging/version issues: pip source mismatch vs conda version pinning/sticking." + }, + { + "left": "issue:1755", + "right": "issue:3336", + "accept": false, + "reason": "The titles are unrelated; no shared bug or change is evident." + }, + { + "left": "issue:2783", + "right": "issue:6141", + "accept": false, + "reason": "Both touch ControlNet, but one is about an img2img/inpainting pipeline and the other about control_mode/resize_mode parameters." + }, + { + "left": "issue:3452", + "right": "issue:988", + "accept": false, + "reason": "Low-VRAM DreamBooth training and FSDP training examples are different features/problems." + }, + { + "left": "issue:3698", + "right": "issue:5905", + "accept": false, + "reason": "Converting an inpainting model and requesting a diffusion-GAN model are unrelated requests." + }, + { + "left": "issue:3944", + "right": "issue:4241", + "accept": false, + "reason": "LoRA rank customization in DreamBooth and LoRA support for unidiffusers are different feature requests." + }, + { + "left": "issue:5050", + "right": "issue:9241", + "accept": false, + "reason": "LoRA config changes and an XLab-to-diffusers conversion script are not the same change." + }, + { + "left": "issue:12499", + "right": "issue:12565", + "accept": false, + "reason": "Wan 2.2 I2V shape mismatch and Wan2.1 i2v running issues are different model-version problems." + }, + { + "left": "issue:4551", + "right": "issue:6709", + "accept": false, + "reason": "SDXL DreamBooth crash and custom diffusion concept-list bug are unrelated training issues." + }, + { + "left": "issue:10914", + "right": "issue:8613", + "accept": false, + "reason": "Unintended CPU offload and OOM from caption_column are different failure modes." + }, + { + "left": "issue:5577", + "right": "issue:6793", + "accept": false, + "reason": "ControlNetModel.from_single_file KeyError and Hydra serialization failure do not share a code path." + }, + { + "left": "issue:1399", + "right": "issue:5907", + "accept": false, + "reason": "VersatileDiffusion unexpected kwarg and DDPMScheduler docs/API mismatch are unrelated API issues." + }, + { + "left": "issue:7636", + "right": "issue:8241", + "accept": false, + "reason": "Using the SDXL tile ControlNet and LEDITS++ model size are different topics." + }, + { + "left": "issue:10178", + "right": "issue:7002", + "accept": false, + "reason": "A UNet3D dimension mismatch is unrelated to an img2img invalid buffer-size error." + }, + { + "left": "issue:10010", + "right": "issue:8943", + "accept": false, + "reason": "A missing FLUX model_index.json and a missing libtorch shared object are unrelated installation/runtime issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 291, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10518", + "issue:10640", + "issue:10803", + "issue:10986", + "issue:11088", + "issue:11314", + "issue:11315", + "issue:11342", + "issue:11412", + "issue:11448", + "issue:11700", + "issue:11989", + "issue:1375", + "issue:1495", + "issue:1931", + "issue:2340", + "issue:2606", + "issue:2659", + "issue:2841", + "issue:2843", + "issue:2905", + "issue:3177", + "issue:3468", + "issue:3724", + "issue:4386", + "issue:459", + "issue:5670", + "issue:5917", + "issue:6113", + "issue:6686", + "issue:672", + "issue:6725", + "issue:7380", + "issue:7483", + "issue:7644", + "issue:7716", + "issue:7773", + "issue:8532", + "issue:8588", + "issue:8671", + "issue:8780", + "issue:8803", + "issue:8805", + "issue:9167", + "issue:9471", + "issue:9670", + "issue:9719", + "issue:9861" + ], + "soft_pairs": [ + "issue:10803|issue:7380", + "issue:11412|issue:7773", + "issue:2843|issue:6686", + "issue:3724|issue:459", + "issue:4386|issue:672", + "issue:5917|issue:6113", + "issue:8588|issue:8805", + "issue:8671|issue:8803", + "issue:2606|issue:3177", + "issue:11315|issue:11342", + "issue:1931|issue:2340", + "issue:11700|issue:8780", + "issue:2841|issue:2905", + "issue:8532|issue:9670", + "issue:9471|issue:9719", + "issue:3468|issue:7716", + "issue:10518|issue:11314", + "issue:10640|issue:7483", + "issue:10986|issue:11088", + "issue:11448|issue:9167", + "issue:1375|issue:1495", + "issue:11989|issue:9861", + "issue:5670|issue:7644", + "issue:2659|issue:6725" + ], + "prepared_review_unit_hash": "c9332c9cab8f03a4d9f0fff93845ad59bc5b546cb3815b6942edb64ab87277ea", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33950, + "estimated_input_tokens": 8488, + "estimated_eval_tokens": 17232 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is not a true duplicate cluster: the items span many unrelated bugs/features across different pipelines, models, and utilities. All soft-edge pairs are only superficially similar and should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue: the cluster is heterogeneous and the paired issues do not share a single underlying bug or change.", + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a good global representative; the items cover unrelated problems, so picking one as canonical would be misleading.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10803", + "right": "issue:7380", + "accept": false, + "reason": "One is a feature request for SANARubber; the other is an implementation request for one-step diffusion. Different goals and code paths." + }, + { + "left": "issue:11412", + "right": "issue:7773", + "accept": false, + "reason": "404 model repo lookup vs. batch-size inference bug; unrelated failure modes." + }, + { + "left": "issue:2843", + "right": "issue:6686", + "accept": false, + "reason": "Checkpoint saving on multi-GPU vs. Dynamo compilation persistence/performance after save-load; not the same bug." + }, + { + "left": "issue:3724", + "right": "issue:459", + "accept": false, + "reason": "Watermarking module idea vs. incremental diffusion concept; both are feature discussions, not the same change." + }, + { + "left": "issue:4386", + "right": "issue:672", + "accept": false, + "reason": "LoRA conversion question vs. ckpt weight conversion feature; related domain, but different request and scope." + }, + { + "left": "issue:5917", + "right": "issue:6113", + "accept": false, + "reason": "Checkpoint conversion regression vs. how-to-use models from a repo; different problem types." + }, + { + "left": "issue:8588", + "right": "issue:8805", + "accept": false, + "reason": "Missing SD3 conversion script vs. SDXL conversion script breakage; both conversion-related but distinct artifacts and failures." + }, + { + "left": "issue:8671", + "right": "issue:8803", + "accept": false, + "reason": "Redundant code in a training script vs. duplicate assignment in attention processor; unrelated code locations and bugs." + }, + { + "left": "issue:2606", + "right": "issue:3177", + "accept": false, + "reason": "DeepSpeed save_state hang vs. DeepSpeed stage-3 offloading issues; both training-related but not the same concrete defect." + }, + { + "left": "issue:11315", + "right": "issue:11342", + "accept": false, + "reason": "Both mention MPS, but one is a HiDream float64 rope bug and the other is a Sana pipeline failure; different code paths." + }, + { + "left": "issue:1931", + "right": "issue:2340", + "accept": false, + "reason": "FP16 dtype mismatch in Stable Diffusion 2 vs. safety checker error in tiny pipeline; unrelated issues." + }, + { + "left": "issue:11700", + "right": "issue:8780", + "accept": false, + "reason": "Pruna integration request for loading pipelines vs. generic model/input dtype mismatch; different scope." + }, + { + "left": "issue:2841", + "right": "issue:2905", + "accept": false, + "reason": "Sampling temperature support vs. Karras sigmas support; both scheduler features, but not the same feature." + }, + { + "left": "issue:8532", + "right": "issue:9670", + "accept": false, + "reason": "Memory growth while loading LoRA weights vs. PEFT-required load failure; distinct loading bugs." + }, + { + "left": "issue:9471", + "right": "issue:9719", + "accept": false, + "reason": "Resource-type inference error from file extensions vs. progress-bar suppression behavior; unrelated." + }, + { + "left": "issue:3468", + "right": "issue:7716", + "accept": false, + "reason": "Missing model_index.json after Dreambooth vs. missing config.json in a different directory; both file-missing symptoms, but different artifacts." + }, + { + "left": "issue:10518", + "right": "issue:11314", + "accept": false, + "reason": "SD3 LoRA Colab script issue vs. Flux controlnet training script mistake; different scripts and bug classes." + }, + { + "left": "issue:10640", + "right": "issue:7483", + "accept": false, + "reason": "DataParallel/multi-GPU FluxInpaint error vs. SDXL LoRA conversion failure; unrelated code paths." + }, + { + "left": "issue:10986", + "right": "issue:11088", + "accept": false, + "reason": "MPS ComplexDouble conversion bug vs. wan2.1 GGUF load error; different models and failure modes." + }, + { + "left": "issue:11448", + "right": "issue:9167", + "accept": false, + "reason": "Missing stable-unclip model path vs. import failure for StableDiffusion3Pipeline; unrelated lookup/import issues." + }, + { + "left": "issue:1375", + "right": "issue:1495", + "accept": false, + "reason": "A breaking change from PR #1365 vs. missing init_git_repo import; both API breakage, but not the same break." + }, + { + "left": "issue:11989", + "right": "issue:9861", + "accept": false, + "reason": "Black inference output vs. Flux training not updating transformer weights; different symptoms and likely causes." + }, + { + "left": "issue:5670", + "right": "issue:7644", + "accept": false, + "reason": "Non-square image failure in PixArtAlpha vs. non-power-of-two size failure in Stable Cascade; similar theme, different pipeline constraints." + }, + { + "left": "issue:2659", + "right": "issue:6725", + "accept": false, + "reason": "Batch-size-dependent image variation vs. generic LDMPipeline image generation request; not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 292, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10281", + "issue:10671", + "issue:1109", + "issue:12108", + "issue:1344", + "issue:13446", + "issue:1867", + "issue:2163", + "issue:2213", + "issue:2276", + "issue:2851", + "issue:337", + "issue:3566", + "issue:3580", + "issue:3585", + "issue:3717", + "issue:4021", + "issue:4042", + "issue:4080", + "issue:4171", + "issue:4484", + "issue:4580", + "issue:4708", + "issue:4752", + "issue:5110", + "issue:5246", + "issue:5390", + "issue:5433", + "issue:5606", + "issue:5689", + "issue:6079", + "issue:6162", + "issue:6452", + "issue:6709", + "issue:7735", + "issue:7962", + "issue:8464", + "issue:8482", + "issue:8488", + "issue:8813", + "issue:8885", + "issue:8939", + "issue:9209", + "issue:9495", + "issue:9660", + "issue:9856", + "issue:9957" + ], + "soft_pairs": [ + "issue:4580|issue:8488", + "issue:1867|issue:337", + "issue:2163|issue:2213", + "issue:4708|issue:6079", + "issue:12108|issue:13446", + "issue:8464|issue:9856", + "issue:10281|issue:9957", + "issue:2851|issue:3717", + "issue:3585|issue:5110", + "issue:1109|issue:4752", + "issue:3566|issue:5689", + "issue:1344|issue:4042", + "issue:4021|issue:5390", + "issue:4080|issue:7962", + "issue:4171|issue:5246", + "issue:4484|issue:5433", + "issue:5606|issue:7735", + "issue:6162|issue:9495", + "issue:6452|issue:7962", + "issue:8482|issue:8813", + "issue:8885|issue:9209", + "issue:6709|issue:8939", + "issue:10671|issue:9660", + "issue:2276|issue:3580" + ], + "prepared_review_unit_hash": "6fd661067426ff546d14b54f4c7c35ebc0efc9bbb65b1f7ede570cd4a3116e35", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33902, + "estimated_input_tokens": 8476, + "estimated_eval_tokens": 17208 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated Diffusers issues: scheduler requests, pipeline bugs, training/runtime problems, docs, and model-support reports. I did not find any soft pair that looks like the same underlying bug/change, so all soft edges are rejected.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 10671 is the best representative because it is a concrete core DiffusionPipeline behavior bug (dtype/device handling) rather than a feature request or environment-specific report.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10671 is the strongest global issue candidate: it is specific, actionable, and tied to shared pipeline internals that are more central than the narrower model- or setup-specific reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4580", + "right": "issue:8488", + "accept": false, + "reason": "Different scheduler/pathology vs. from_pretrained exception on SD3; not the same concrete bug." + }, + { + "left": "issue:1867", + "right": "issue:337", + "accept": false, + "reason": "Both touch img2img/inpainting, but one is a low-strength scheduler behavior bug and the other is a broader pipeline support question." + }, + { + "left": "issue:2163", + "right": "issue:2213", + "accept": false, + "reason": "UNet dtype mismatch during training is unrelated to TPU distributed hang behavior." + }, + { + "left": "issue:4708", + "right": "issue:6079", + "accept": false, + "reason": "Import failure and half/float tensor mismatch are different failures and code paths." + }, + { + "left": "issue:12108", + "right": "issue:13446", + "accept": false, + "reason": "Scheduler/flow-matching compatibility bug vs. security/trust-check issue; unrelated changes." + }, + { + "left": "issue:8464", + "right": "issue:9856", + "accept": false, + "reason": "SEGA seed/offload bug is unrelated to distributed port conflicts." + }, + { + "left": "issue:10281", + "right": "issue:9957", + "accept": false, + "reason": "Both are scheduler feature requests, but they ask for different schedulers and are not the same underlying change." + }, + { + "left": "issue:2851", + "right": "issue:3717", + "accept": false, + "reason": "TPU push_to_hub behavior and multi-GPU OOM are different runtime problems." + }, + { + "left": "issue:3585", + "right": "issue:5110", + "accept": false, + "reason": "LoRA synthesis failure and HF repo-id validation error are unrelated." + }, + { + "left": "issue:1109", + "right": "issue:4752", + "accept": false, + "reason": "CPU utilization complaint is not the same as an SDXL tensor dtype/bias mismatch." + }, + { + "left": "issue:3566", + "right": "issue:5689", + "accept": false, + "reason": "ControlNet reference instability and DPM++ residual noise are distinct SDXL bugs." + }, + { + "left": "issue:1344", + "right": "issue:4042", + "accept": false, + "reason": "Single-GPU attention limitation is unrelated to combining reference-only, inpainting, and depth control." + }, + { + "left": "issue:4021", + "right": "issue:5390", + "accept": false, + "reason": "Both mention unnecessary downloads, but one is from_single_file CLIP fetching and the other is local_files_only behavior in from_pretrained; different code paths." + }, + { + "left": "issue:4080", + "right": "issue:7962", + "accept": false, + "reason": "Two different feature requests for different pipelines and APIs." + }, + { + "left": "issue:4171", + "right": "issue:5246", + "accept": false, + "reason": "Docs rendering issue and missing CLIPImageProjection attribute are unrelated." + }, + { + "left": "issue:4484", + "right": "issue:5433", + "accept": false, + "reason": "Both are visual SDXL issues, but the reported symptoms and likely causes differ." + }, + { + "left": "issue:5606", + "right": "issue:7735", + "accept": false, + "reason": "LoRA alpha handling and missing caption_column in training are different configuration bugs." + }, + { + "left": "issue:6162", + "right": "issue:9495", + "accept": false, + "reason": "Both involve IPAdapter/SDXL, but one is a shape mismatch and the other is PAG integration failure; not the same bug." + }, + { + "left": "issue:6452", + "right": "issue:7962", + "accept": false, + "reason": "Different API additions for different pipelines; no shared underlying change." + }, + { + "left": "issue:8482", + "right": "issue:8813", + "accept": false, + "reason": "Model support for SD3-medium and differential diffusion with Kolors are unrelated requests." + }, + { + "left": "issue:8885", + "right": "issue:9209", + "accept": false, + "reason": "Install/load modifier-token problem is unrelated to mirror connectivity." + }, + { + "left": "issue:6709", + "right": "issue:8939", + "accept": false, + "reason": "Custom Diffusion concept-list bug and SD3 tokenizer load error are different failures." + }, + { + "left": "issue:10671", + "right": "issue:9660", + "accept": false, + "reason": "Both are DiffusionPipeline internals, but dtype/device retrieval and eval-mode setting are different behaviors." + }, + { + "left": "issue:2276", + "right": "issue:3580", + "accept": false, + "reason": "xformers installation failure and xformers runtime TypeError are not the same issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 293, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10239", + "issue:1061", + "issue:12022", + "issue:1477", + "issue:1633", + "issue:1831", + "issue:2179", + "issue:2266", + "issue:2437", + "issue:2577", + "issue:2782", + "issue:2843", + "issue:3029", + "issue:307", + "issue:3481", + "issue:3612", + "issue:4111", + "issue:4116", + "issue:4264", + "issue:4349", + "issue:4414", + "issue:4468", + "issue:459", + "issue:4677", + "issue:4767", + "issue:5465", + "issue:5628", + "issue:5630", + "issue:5731", + "issue:5760", + "issue:5881", + "issue:5897", + "issue:5997", + "issue:6087", + "issue:6132", + "issue:6616", + "issue:7009", + "issue:7333", + "issue:7357", + "issue:7380", + "issue:7415", + "issue:7728", + "issue:776", + "issue:8708", + "issue:8939", + "issue:9398", + "issue:9523", + "issue:9719" + ], + "soft_pairs": [ + "issue:4414|issue:4468", + "issue:5897|issue:7415", + "issue:7728|issue:9523", + "issue:1477|issue:1831", + "issue:2577|issue:5628", + "issue:5760|issue:7333", + "issue:8939|issue:9719", + "issue:2266|issue:2782", + "issue:2437|issue:6132", + "issue:4677|issue:7009", + "issue:4767|issue:5465", + "issue:5630|issue:5881", + "issue:8708|issue:9398", + "issue:10239|issue:12022", + "issue:2843|issue:6087", + "issue:4349|issue:7357", + "issue:1061|issue:776", + "issue:1633|issue:3612", + "issue:2179|issue:3481", + "issue:3029|issue:5997", + "issue:307|issue:459", + "issue:4111|issue:4116", + "issue:4264|issue:5731", + "issue:6616|issue:7380" + ], + "prepared_review_unit_hash": "ae94d2c003cbcb85ab55ba0d9dc035b88df9d979f5b3297cce7a2b17f2f06caa", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34459, + "estimated_input_tokens": 8615, + "estimated_eval_tokens": 17486 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of unrelated issues spanning different bugs, features, examples, and models. None of the soft pairs appear to describe the same underlying problem, so they should all be rejected as duplicates.", + "confidence": 0.91, + "canonical_issue_reason": "issue:10239 is a clear, concrete bug report with a specific unsupported API path (`enable_sequential_cpu_offload()` on HunyuanVideoPipeline), making it the most representative single issue in this mixed cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10239 is the strongest standalone issue here because it names a precise failure mode and affected pipeline, unlike the broader or more ambiguous reports in the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4414", + "right": "issue:4468", + "accept": false, + "reason": "One is about a consistency-model sample, the other about multi-GPU performance differences; different symptoms and likely different causes." + }, + { + "left": "issue:5897", + "right": "issue:7415", + "accept": false, + "reason": "Training-device mismatch in LoRA script vs. AutoencoderKL bfloat16 behavior on TPU; unrelated code paths and hardware contexts." + }, + { + "left": "issue:7728", + "right": "issue:9523", + "accept": false, + "reason": "Accelerate training error in an SDXL LoRA script vs. controlnet training mapping issues across SD3/SDXL/Flux; not the same bug." + }, + { + "left": "issue:1477", + "right": "issue:1831", + "accept": false, + "reason": "CUDA/CUBLAS runtime failure vs. Dreambooth class-image precision mismatch; distinct failure modes." + }, + { + "left": "issue:2577", + "right": "issue:5628", + "accept": false, + "reason": "DDIMInverseScheduler usage problem vs. LMS/Karras sigma offset behavior; different schedulers and different symptoms." + }, + { + "left": "issue:5760", + "right": "issue:7333", + "accept": false, + "reason": "Video-to-audio synthesis project/topic vs. image-to-video noise rectification proposal; not the same underlying issue." + }, + { + "left": "issue:8939", + "right": "issue:9719", + "accept": false, + "reason": "Tokenizer loading error for SD3 vs. progress-bar suppression ignored during checkpoint loading; unrelated loading issues." + }, + { + "left": "issue:2266", + "right": "issue:2782", + "accept": false, + "reason": "Sequential CPU offload slowdown vs. sequential model offloading error; both mention offloading, but one is a performance complaint and the other an error, likely different problems." + }, + { + "left": "issue:2437", + "right": "issue:6132", + "accept": false, + "reason": "A new T2I-Adapter pipeline request vs. adding LOADABLE_CLASSES support; feature request and infrastructure change are not the same bug/change." + }, + { + "left": "issue:4677", + "right": "issue:7009", + "accept": false, + "reason": "Text-guided inpainting doc error vs. poor results from TextToVideoSDPipeline; different docs and different pipelines." + }, + { + "left": "issue:4767", + "right": "issue:5465", + "accept": false, + "reason": "EulerAncestralDiscreteScheduler `prediction_type=sample` support vs. DiffEdit inpaint_strength limitation; different scheduler vs. pipeline behavior." + }, + { + "left": "issue:5630", + "right": "issue:5881", + "accept": false, + "reason": "LMS scheduler noise leftover in SDXL img2img vs. AnimateDiff quality regression relative to upstream; different models and symptoms." + }, + { + "left": "issue:8708", + "right": "issue:9398", + "accept": false, + "reason": "Missing SD3 shift_factor in Dreambooth examples vs. missing `pooled_projection` argument in embeddings forward; unrelated API/example issues." + }, + { + "left": "issue:10239", + "right": "issue:12022", + "accept": false, + "reason": "Unsupported offload API on HunyuanVideoPipeline vs. flash-attention 3 interface incompatibility; different subsystems and fixes." + }, + { + "left": "issue:2843", + "right": "issue:6087", + "accept": false, + "reason": "Multi-GPU checkpoint saving vs. LoRA config persistence causing wrong `lora_alpha`; different training/inference concerns." + }, + { + "left": "issue:4349", + "right": "issue:7357", + "accept": false, + "reason": "Upscale pipeline requiring text_encoder despite prompt_embeds vs. SDXL slowdown with `torch.compile`/`fuse_loras`; separate pipeline API bug vs. performance issue." + }, + { + "left": "issue:1061", + "right": "issue:776", + "accept": false, + "reason": "Documentation update for textual inversion vs. broken image-to-image batch_size>1 behavior; one is doc-only, the other is a runtime bug." + }, + { + "left": "issue:1633", + "right": "issue:3612", + "accept": false, + "reason": "Optional karras sigmas support in k_diffusion wrapper vs. ControlNet creation/preprocessor question; different feature areas and not the same bug." + }, + { + "left": "issue:2179", + "right": "issue:3481", + "accept": false, + "reason": "Flax scheduler producing black images vs. DDIM step-count-dependent output differences; both image quality complaints, but not the same concrete failure." + }, + { + "left": "issue:3029", + "right": "issue:5997", + "accept": false, + "reason": "Custom-resolution ControlNet question vs. SDXL tutorial model-type mismatch error; unrelated tutorial/support issues." + }, + { + "left": "issue:307", + "right": "issue:459", + "accept": false, + "reason": "Pipeline-merging feature request vs. incremental diffusion concept; different scope and intent." + }, + { + "left": "issue:4111", + "right": "issue:4116", + "accept": false, + "reason": "Loading SDXL img2img with limited VRAM vs. passing embeddings not working; separate resource and input-handling issues." + }, + { + "left": "issue:4264", + "right": "issue:5731", + "accept": false, + "reason": "Missing example images vs. missing trainable logvar in AutoencoderKL decoder; one is documentation/assets, the other is model implementation." + }, + { + "left": "issue:6616", + "right": "issue:7380", + "accept": false, + "reason": "Classifier-guidance implementation request vs. one-step diffusion / distillation implementation request; both are algorithmic feature ideas, but not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 294, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10050", + "issue:10566", + "issue:10673", + "issue:11010", + "issue:11178", + "issue:1141", + "issue:11627", + "issue:11779", + "issue:12012", + "issue:12025", + "issue:12071", + "issue:12536", + "issue:12574", + "issue:1273", + "issue:1304", + "issue:13107", + "issue:205", + "issue:2437", + "issue:2480", + "issue:2737", + "issue:2763", + "issue:2786", + "issue:3043", + "issue:3065", + "issue:3455", + "issue:3958", + "issue:4282", + "issue:4756", + "issue:5313", + "issue:5432", + "issue:5523", + "issue:6132", + "issue:6313", + "issue:6320", + "issue:6354", + "issue:6359", + "issue:6548", + "issue:6639", + "issue:7043", + "issue:7079", + "issue:7389", + "issue:7432", + "issue:7640", + "issue:8539", + "issue:8614", + "issue:8956", + "issue:9216", + "issue:9926" + ], + "soft_pairs": [ + "issue:6639|issue:7432", + "issue:11779|issue:12574", + "issue:2480|issue:5523", + "issue:10566|issue:12071", + "issue:10673|issue:12025", + "issue:7389|issue:7640", + "issue:11178|issue:8614", + "issue:2786|issue:6548", + "issue:11627|issue:8539", + "issue:3958|issue:5313", + "issue:12012|issue:12536", + "issue:6320|issue:8956", + "issue:10050|issue:9216", + "issue:11010|issue:13107", + "issue:1141|issue:2737", + "issue:1273|issue:3455", + "issue:1304|issue:205", + "issue:2437|issue:6313", + "issue:2763|issue:4282", + "issue:3043|issue:6132", + "issue:3065|issue:7043", + "issue:4756|issue:5432", + "issue:6354|issue:9926", + "issue:6359|issue:7079" + ], + "prepared_review_unit_hash": "71e0a14987a8d56671556ec641d59f48a3e0de952b4c10215c01401dfc7595cc", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33905, + "estimated_input_tokens": 8477, + "estimated_eval_tokens": 17210 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a heterogeneous grab bag of feature requests and bug reports across many unrelated pipelines/models. No soft pair looks like a true duplicate; the set does not form a coherent duplicate cluster. If forced to pick a representative issue, the broadest is the custom-pipeline/local-file request (#1141), but it is only a weak umbrella.", + "confidence": 0.93, + "canonical_issue_reason": "#1141 is the broadest, most generic request in the set (custom pipeline/local-file support), so it is the least narrow representative if one issue must anchor the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "#1141 is the best cluster representative because it is the most general and upstream-facing; the rest are mostly model-specific bugs or narrowly scoped feature requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6639", + "right": "issue:7432", + "accept": false, + "reason": "Both mention differing outputs, but they are different code paths: SDXL LoRA loading behavior vs a general diffusers/WebUI image discrepancy." + }, + { + "left": "issue:11779", + "right": "issue:12574", + "accept": false, + "reason": "Both are Wan/VACE-related, but one is about mask padding and the other about missing control-argument handling; not the same bug." + }, + { + "left": "issue:2480", + "right": "issue:5523", + "accept": false, + "reason": "Dreambooth checkpoint-folder handling is unrelated to run-to-run inconsistency in outputs." + }, + { + "left": "issue:10566", + "right": "issue:12071", + "accept": false, + "reason": "Different models and different forward-path concerns; not the same underlying issue." + }, + { + "left": "issue:10673", + "right": "issue:12025", + "accept": false, + "reason": "Different failure modes on different components: AuraFlow reshape error vs Cosmos VAE invalid API call." + }, + { + "left": "issue:7389", + "right": "issue:7640", + "accept": false, + "reason": "Both are SDXL from_single_file problems, but the reported failures differ materially (generic load error vs dimension-specific runtime error)." + }, + { + "left": "issue:11178", + "right": "issue:8614", + "accept": false, + "reason": "Both involve single-file ControlNet loading, but one is a MistoLine from_single_file case and the other is missing config.json; too specific to merge confidently." + }, + { + "left": "issue:2786", + "right": "issue:6548", + "accept": false, + "reason": "Both are img2img input-handling bugs, but one is numpy compatibility and the other is RGBA being mistaken for latents; separate defects." + }, + { + "left": "issue:11627", + "right": "issue:8539", + "accept": false, + "reason": "Different architectures and different problems: IP-Adapter support in SD3 vs cross-attention behavior in SD3 transformer." + }, + { + "left": "issue:3958", + "right": "issue:5313", + "accept": false, + "reason": "Both are LoRA-related, but one is CPU offload behavior and the other is non-revertible fuse semantics; not the same change." + }, + { + "left": "issue:12012", + "right": "issue:12536", + "accept": false, + "reason": "Both mention Wan 2.2/context-related behavior, but one is cache context state setup and the other is tensor sharding divisibility; distinct bugs." + }, + { + "left": "issue:6320", + "right": "issue:8956", + "accept": false, + "reason": "Different loading failures: remote model resolution vs model loading in OVStableDiffusionXLPipeline." + }, + { + "left": "issue:10050", + "right": "issue:9216", + "accept": false, + "reason": "An img2img KDiffusion-equivalent request is unrelated to a generic multi-model pipeline feature." + }, + { + "left": "issue:11010", + "right": "issue:13107", + "accept": false, + "reason": "Different Flux-related topics: architecture support for Chroma vs LoRA key-mismatch errors." + }, + { + "left": "issue:1141", + "right": "issue:2737", + "accept": false, + "reason": "Custom pipeline/local-file support is unrelated to adding CLIP guidance support to a scheduler." + }, + { + "left": "issue:1273", + "right": "issue:3455", + "accept": false, + "reason": "Dreambooth loss-calculation question and pretrained instruct-pix2pix training are unrelated training concerns." + }, + { + "left": "issue:1304", + "right": "issue:205", + "accept": false, + "reason": "Generic img2img training guidance is not the same as adding interpolation example scripts." + }, + { + "left": "issue:2437", + "right": "issue:6313", + "accept": false, + "reason": "A T2I-Adapter pipeline request is unrelated to a Null-Text Inversion pipeline implementation." + }, + { + "left": "issue:2763", + "right": "issue:4282", + "accept": false, + "reason": "ControlNet VRAM behavior and Multi-ControlNet pipeline support are different problems; one is performance, the other is feature scope." + }, + { + "left": "issue:3043", + "right": "issue:6132", + "accept": false, + "reason": "Adding ODISE and adding LOADABLE_CLASSES are unrelated feature requests." + }, + { + "left": "issue:3065", + "right": "issue:7043", + "accept": false, + "reason": "Both are DreamBooth-related, but one asks for a LoRA text-encoder option and the other for custom captions; different functionality." + }, + { + "left": "issue:4756", + "right": "issue:5432", + "accept": false, + "reason": "Training-style support and blank validation images are not the same underlying bug." + }, + { + "left": "issue:6354", + "right": "issue:9926", + "accept": false, + "reason": "LoRA support for ControlNet and GGUF quantize/speed support are unrelated model/runtime requests." + }, + { + "left": "issue:6359", + "right": "issue:7079", + "accept": false, + "reason": "Different subsystem bugs: scheduler velocity/noise handling vs Transformer2DModel patch/norm-type error." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 295, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10178", + "issue:10191", + "issue:10311", + "issue:10446", + "issue:10963", + "issue:11000", + "issue:11470", + "issue:12895", + "issue:13124", + "issue:2392", + "issue:2737", + "issue:2961", + "issue:3103", + "issue:3191", + "issue:3223", + "issue:3287", + "issue:3325", + "issue:3377", + "issue:3390", + "issue:3604", + "issue:3960", + "issue:4665", + "issue:4801", + "issue:4964", + "issue:4969", + "issue:5025", + "issue:5061", + "issue:5079", + "issue:5112", + "issue:514", + "issue:5399", + "issue:5654", + "issue:5873", + "issue:6157", + "issue:656", + "issue:671", + "issue:6996", + "issue:770", + "issue:8241", + "issue:8405", + "issue:8824", + "issue:8939", + "issue:9047", + "issue:917", + "issue:9178", + "issue:9397", + "issue:9424", + "issue:9962" + ], + "soft_pairs": [ + "issue:9047|issue:9178", + "issue:10191|issue:10446", + "issue:5399|issue:8241", + "issue:10311|issue:10963", + "issue:2961|issue:3604", + "issue:3191|issue:3960", + "issue:3223|issue:6157", + "issue:3325|issue:4801", + "issue:3377|issue:5654", + "issue:3390|issue:4665", + "issue:4969|issue:5061", + "issue:5025|issue:770", + "issue:5079|issue:9397", + "issue:5112|issue:6996", + "issue:514|issue:656", + "issue:5873|issue:9424", + "issue:8824|issue:8939", + "issue:10178|issue:8405", + "issue:12895|issue:2392", + "issue:3103|issue:917", + "issue:4964|issue:671", + "issue:11000|issue:9962", + "issue:11470|issue:13124", + "issue:2737|issue:3287" + ], + "prepared_review_unit_hash": "709eb6055b587eaa42f5ad220a9a51101a755bf8e044dfc5e1a8c7613df54a51", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34159, + "estimated_input_tokens": 8540, + "estimated_eval_tokens": 17336 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: the items span unrelated bugs and feature requests across training scripts, pipelines, conversion, LoRA, and device/runtime issues. All soft edges should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "Issue 10446 is the strongest standalone representative: it is open, detailed, and has the most substantial discussion around a concrete Flux multi-GPU/model-sharding failure. That said, the cluster is heterogeneous and does not have a real canonical duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10446 is the most actionable issue in the set, with a precise repro and active discussion. It is still only a representative, not a duplicate anchor, because the rest of the cluster is unrelated.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9047", + "right": "issue:9178", + "accept": false, + "reason": "Both are Flux-related, but one is an MPS runtime incompatibility and the other is a LoRA training/PEFT target-module error; different bugs and code paths." + }, + { + "left": "issue:10191", + "right": "issue:10446", + "accept": false, + "reason": "GPU device selection during training is unrelated to FluxControlNetPipeline multi-GPU/model-sharding incompatibility; different failure modes." + }, + { + "left": "issue:5399", + "right": "issue:8241", + "accept": false, + "reason": "Custom inpainting dtype mismatch is unrelated to an abnormal LEDITS++ model size question." + }, + { + "left": "issue:10311", + "right": "issue:10963", + "accept": false, + "reason": "Both are import errors, but they involve different missing symbols in different modules and are not the same underlying bug." + }, + { + "left": "issue:2961", + "right": "issue:3604", + "accept": false, + "reason": "Training example request for StableUnCLIP is not the same as a finetuning loss-not-decreasing problem." + }, + { + "left": "issue:3191", + "right": "issue:3960", + "accept": false, + "reason": "Dreambooth+LoRA breakage and a safetensors HeaderTooLarge error are distinct issues with different root causes." + }, + { + "left": "issue:3223", + "right": "issue:6157", + "accept": false, + "reason": "Memory not being cleared after moving a pipeline to CUDA is unrelated to IP-Adapter not working in ControlNetImg2ImgPipeline." + }, + { + "left": "issue:3325", + "right": "issue:4801", + "accept": false, + "reason": "These are separate training failures in different scripts: CUDA invalid argument vs mixed-precision bug." + }, + { + "left": "issue:3377", + "right": "issue:5654", + "accept": false, + "reason": "Both mention SNR weighting, but one is a general question and the other is a specific Min-SNR v-prediction feature request; not the same concrete change." + }, + { + "left": "issue:3390", + "right": "issue:4665", + "accept": false, + "reason": "Local safetensors loading and Windows alternative-bin file handling are different packaging/loading problems." + }, + { + "left": "issue:4969", + "right": "issue:5061", + "accept": false, + "reason": "CrossAttention import failure is unrelated to a converter config_files argument error." + }, + { + "left": "issue:5025", + "right": "issue:770", + "accept": false, + "reason": "Missing randn_tensor import and Colab training startup failure are unrelated issues." + }, + { + "left": "issue:5079", + "right": "issue:9397", + "accept": false, + "reason": "Both are LoRA-related feature requests, but they target different functionality and code paths." + }, + { + "left": "issue:5112", + "right": "issue:6996", + "accept": false, + "reason": "These are different pipeline errors: a torch.Size float conversion issue versus a NoneType added_cond_kwargs check." + }, + { + "left": "issue:514", + "right": "issue:656", + "accept": false, + "reason": "Attention slicing error is not the same as a low-VRAM Dreambooth training problem." + }, + { + "left": "issue:5873", + "right": "issue:9424", + "accept": false, + "reason": "ONNX export support for scaled_dot_product_attention is unrelated to a notebook breaking on the latest version." + }, + { + "left": "issue:8824", + "right": "issue:8939", + "accept": false, + "reason": "Custom dataset guidance for instruct-pix2pix is unrelated to an SD3 tokenizer loading error." + }, + { + "left": "issue:10178", + "right": "issue:8405", + "accept": false, + "reason": "Both mention size mismatches, but they concern different components and different tensor-shape failures." + }, + { + "left": "issue:12895", + "right": "issue:2392", + "accept": false, + "reason": "Both involve prompt handling, but they are different pipelines and distinct bugs; not the same underlying failure." + }, + { + "left": "issue:3103", + "right": "issue:917", + "accept": false, + "reason": "Inpainting height/width handling and an ONNX inpainting export/runtime error are not the same issue." + }, + { + "left": "issue:4964", + "right": "issue:671", + "accept": false, + "reason": "These are both conversion-related, but one is SDXL conversion and the other is original SD conversion fidelity; different models and symptoms." + }, + { + "left": "issue:11000", + "right": "issue:9962", + "accept": false, + "reason": "Missing shift argument and unexpected use_cuda_graph keyword are separate API/argument errors." + }, + { + "left": "issue:11470", + "right": "issue:13124", + "accept": false, + "reason": "Tensorboard image logging and FP16 unscale failures triggered by validation_prompt are unrelated training-script issues." + }, + { + "left": "issue:2737", + "right": "issue:3287", + "accept": false, + "reason": "CLIP guidance support for a scheduler and support for improved DDPM are different feature requests." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 296, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1070", + "issue:11006", + "issue:11574", + "issue:11833", + "issue:1434", + "issue:1746", + "issue:1817", + "issue:1821", + "issue:1944", + "issue:2444", + "issue:2579", + "issue:2722", + "issue:3032", + "issue:3097", + "issue:3468", + "issue:3551", + "issue:3767", + "issue:3880", + "issue:4232", + "issue:4376", + "issue:4418", + "issue:4446", + "issue:4589", + "issue:4648", + "issue:4871", + "issue:4912", + "issue:5336", + "issue:5515", + "issue:5646", + "issue:5685", + "issue:5753", + "issue:5777", + "issue:5866", + "issue:5890", + "issue:5917", + "issue:617", + "issue:6321", + "issue:6481", + "issue:7228", + "issue:7264", + "issue:7904", + "issue:8535", + "issue:8556", + "issue:8809", + "issue:9332", + "issue:9674", + "issue:987", + "issue:9946" + ], + "soft_pairs": [ + "issue:4589|issue:5336", + "issue:4648|issue:5777", + "issue:7904|issue:8535", + "issue:4418|issue:5890", + "issue:4446|issue:4871", + "issue:2579|issue:3551", + "issue:6481|issue:9674", + "issue:7228|issue:8556", + "issue:1070|issue:3880", + "issue:11006|issue:8809", + "issue:1817|issue:1944", + "issue:3767|issue:617", + "issue:4912|issue:7264", + "issue:8535|issue:9946", + "issue:1746|issue:2444", + "issue:1821|issue:3032", + "issue:1821|issue:987", + "issue:5646|issue:5685", + "issue:3468|issue:6321", + "issue:11574|issue:11833", + "issue:1434|issue:3097", + "issue:2722|issue:5917", + "issue:4232|issue:5866", + "issue:4376|issue:5753", + "issue:5515|issue:9332" + ], + "prepared_review_unit_hash": "fcd146697609b01bb07176f8c42b01df11a4c412f5e9a153317573a9d53404e8", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34303, + "estimated_input_tokens": 8576, + "estimated_eval_tokens": 17408 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a noisy, heterogeneous issue cluster with only one plausible duplicate pair. The two xformers-memory-efficient-attention issues look like the same underlying problem; the rest are topical overlaps at best, not the same bug.", + "confidence": 0.92, + "canonical_issue_reason": "issue:8535 is the best canonical anchor because it most directly matches the only plausible duplicate (issue:9946) on xformers memory-efficient attention.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8535 is the strongest representative issue in the cluster because it has the clearest, most specific match to another item; the rest of the cluster is too unrelated to unify.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4589", + "right": "issue:5336", + "accept": false, + "reason": "Both involve ControlNet Img2Img, but one asks for XL-version pipeline support and the other requests a strength parameter; different changes, not the same bug." + }, + { + "left": "issue:4648", + "right": "issue:5777", + "accept": false, + "reason": "Config.json missing / environment setup error versus Dreambooth training failure; no shared underlying defect." + }, + { + "left": "issue:7904", + "right": "issue:8535", + "accept": false, + "reason": "Scheduler sigmas mutating after forward call is unrelated to xformers attention enablement; different code paths and symptoms." + }, + { + "left": "issue:4418", + "right": "issue:5890", + "accept": false, + "reason": "Inpaint denoising_start behavior is unrelated to the tokenizer sequence-length warning in text-to-image training." + }, + { + "left": "issue:4446", + "right": "issue:4871", + "accept": false, + "reason": "Custom text_encoder loading from single file is different from a general how-to-run-from-single-file question." + }, + { + "left": "issue:2579", + "right": "issue:3551", + "accept": false, + "reason": "General xFormers bug/misuse versus LoRA disabling xFormers; related subsystem, but not the same concrete failure." + }, + { + "left": "issue:6481", + "right": "issue:9674", + "accept": false, + "reason": "Dreambooth batch-size failure and SD3 controlnet training quality are different problems." + }, + { + "left": "issue:7228", + "right": "issue:8556", + "accept": false, + "reason": "Missing dtype on traced model versus meta-tensor copy failure in SD3 from_single_file; distinct loading bugs." + }, + { + "left": "issue:1070", + "right": "issue:3880", + "accept": false, + "reason": "Both mention inpainting, but one is a vague face bug and the other is degradation of unmasked areas; not enough evidence of the same defect." + }, + { + "left": "issue:11006", + "right": "issue:8809", + "accept": false, + "reason": "Wan 2.1 video output corruption with quantized transformer is unrelated to feedforward output inconsistency from varying sequence lengths." + }, + { + "left": "issue:1817", + "right": "issue:1944", + "accept": false, + "reason": "Scheduler API argument error in Dreambooth is not the same as getting random results from training." + }, + { + "left": "issue:3767", + "right": "issue:617", + "accept": false, + "reason": "FrozenDict mutability and NNPACK unsupported hardware warnings are unrelated." + }, + { + "left": "issue:4912", + "right": "issue:7264", + "accept": false, + "reason": "SDXL checkpoint conversion to diffusers and custom transformers model serialization are different conversion/loading issues." + }, + { + "left": "issue:8535", + "right": "issue:9946", + "accept": true, + "reason": "Both titles refer to enabling xformers memory-efficient attention, and they appear to describe the same underlying pipeline behavior/bug." + }, + { + "left": "issue:1746", + "right": "issue:2444", + "accept": false, + "reason": "Flax pipeline error and Dreambooth inpaint subprocess failure are different failures in different code paths." + }, + { + "left": "issue:1821", + "right": "issue:3032", + "accept": false, + "reason": "Negative prompt ineffectiveness in inpainting is unrelated to a missing from_pretrained attribute on ControlNet Img2Img." + }, + { + "left": "issue:1821", + "right": "issue:987", + "accept": false, + "reason": "Inpaint negative_prompt behavior is not the same as a green-image speech-to-image output bug." + }, + { + "left": "issue:5646", + "right": "issue:5685", + "accept": false, + "reason": "Both mention schedulers, but one is a model-specific stability report and the other is a broad speculation; not the same concrete issue." + }, + { + "left": "issue:3468", + "right": "issue:6321", + "accept": false, + "reason": "Missing model_index.json after Dreambooth training is different from CLIP model detection failure." + }, + { + "left": "issue:11574", + "right": "issue:11833", + "accept": false, + "reason": "A missing VAE weight key and a KeyError in set_lora_device are different missing-key contexts with different causes." + }, + { + "left": "issue:1434", + "right": "issue:3097", + "accept": false, + "reason": "Upscaling OOM is unrelated to textual inversion apparently doing nothing." + }, + { + "left": "issue:2722", + "right": "issue:5917", + "accept": false, + "reason": "ControlNet UNet conversion mismatch and checkpoint conversion failing after a version upgrade are not the same defect." + }, + { + "left": "issue:4232", + "right": "issue:5866", + "accept": false, + "reason": "Instruct-pix2pix training/inference for controlnet condition and AnimateDiff + ControlNet are different feature requests." + }, + { + "left": "issue:4376", + "right": "issue:5753", + "accept": false, + "reason": "SDXL textual inversion crash and LoRA weights failing in SDXL ControlNet are separate integration problems." + }, + { + "left": "issue:5515", + "right": "issue:9332", + "accept": false, + "reason": "LCM scheduler initialization failure is unrelated to incorrect model loading with identical weights." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The assessment is grounded in the packet: the cluster is highly heterogeneous, and the only clearly supportable duplicate is issue:8535 \u2194 issue:9946 around xformers memory-efficient attention. The soft-edge rejections are conservative and align with the provided pair evidence. No PR-pair concerns here." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 297, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10154", + "issue:10302", + "issue:10421", + "issue:10855", + "issue:10913", + "issue:11000", + "issue:1101", + "issue:11127", + "issue:11214", + "issue:11675", + "issue:1249", + "issue:12505", + "issue:12633", + "issue:2091", + "issue:2851", + "issue:3405", + "issue:3418", + "issue:4480", + "issue:4530", + "issue:4646", + "issue:4649", + "issue:4826", + "issue:5124", + "issue:5152", + "issue:5509", + "issue:5607", + "issue:6090", + "issue:6109", + "issue:6280", + "issue:6639", + "issue:6686", + "issue:6807", + "issue:7240", + "issue:7415", + "issue:7562", + "issue:7589", + "issue:7690", + "issue:7891", + "issue:7939", + "issue:8526", + "issue:898", + "issue:9052", + "issue:9106", + "issue:9539", + "issue:9690", + "issue:9846", + "issue:9911" + ], + "soft_pairs": [ + "issue:4530|issue:6686", + "issue:4826|issue:7562", + "issue:10154|issue:6639", + "issue:4646|issue:7240", + "issue:5152|issue:9106", + "issue:4649|issue:7589", + "issue:6280|issue:9846", + "issue:4480|issue:8526", + "issue:2091|issue:5124", + "issue:9539|issue:9911", + "issue:7415|issue:7891", + "issue:4480|issue:6807", + "issue:5607|issue:6090", + "issue:10302|issue:9690", + "issue:3405|issue:6109", + "issue:1249|issue:5509", + "issue:2851|issue:898", + "issue:7690|issue:7939", + "issue:10421|issue:12505", + "issue:10855|issue:12633", + "issue:10913|issue:11675", + "issue:11000|issue:11214", + "issue:1101|issue:3418", + "issue:11127|issue:9052" + ], + "prepared_review_unit_hash": "26e641495006400dadad70e0e6470457957adb97bc4ad6417611d7bd3fc38264", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33660, + "estimated_input_tokens": 8415, + "estimated_eval_tokens": 17086 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster looks like a set of false-positive title similarities, not a duplicate set: most items are unrelated bugs across LoRA loading, pipelines, schedulers, training, and device-specific issues. None of the soft pairs look mergeable as the same underlying fix.", + "confidence": 0.74, + "canonical_issue_reason": "issue:11675 is the closest single representative of the only coherent subtheme here (LoRA weight loading errors), but the cluster as a whole is too heterogeneous to treat as one true duplicate group.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11675 is the best stand-in because it is concise, concrete, and directly about pretrained LoRA loading; the other items are either different failure modes or entirely different subsystems.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4530", + "right": "issue:6686", + "accept": false, + "reason": "Different problems: image artifacts in SDXL refiner vs. Dynamo compilation performance after save/load." + }, + { + "left": "issue:4826", + "right": "issue:7562", + "accept": false, + "reason": "Both mention MultiControlNet, but one is ControlNet Reference errors and the other is CPU offload failure in SDXL img2img; different code paths." + }, + { + "left": "issue:10154", + "right": "issue:6639", + "accept": false, + "reason": "Both involve LoRA loading, but one is an AttributeError during load_lora_weights and the other is output mismatch between loading paths; not the same bug." + }, + { + "left": "issue:4646", + "right": "issue:7240", + "accept": false, + "reason": "ONNX controlnet conversion failure is unrelated to ImageNet conditional LDM low-quality output." + }, + { + "left": "issue:5152", + "right": "issue:9106", + "accept": false, + "reason": "W\u00fcrstchen alpha bug and PixArt-Alpha time_step attribute error are unrelated models and failures." + }, + { + "left": "issue:4649", + "right": "issue:7589", + "accept": false, + "reason": "NoneType added_cond_kwargs TypeError is a different failure from GLIGEN layout-to-image not working." + }, + { + "left": "issue:6280", + "right": "issue:9846", + "accept": false, + "reason": "Both are about missing from_single_file APIs, but one is SDXL ControlNet Img2Img and the other is FluxControlNetModel; separate model families and implementation gaps." + }, + { + "left": "issue:4480", + "right": "issue:8526", + "accept": false, + "reason": "MPS float16 crash on StableDiffusionPipeline is not the same as SD3 joint_attention_kwargs scale being ineffective." + }, + { + "left": "issue:2091", + "right": "issue:5124", + "accept": false, + "reason": "Training resume with multi-GPU checkpointing is unrelated to a checkpoint fine-tuning usage question." + }, + { + "left": "issue:9539", + "right": "issue:9911", + "accept": false, + "reason": "FP8 index_select_cuda failure in CogVideoX is not the same as Flux multi-ControlNet layer-length mismatch." + }, + { + "left": "issue:7415", + "right": "issue:7891", + "accept": false, + "reason": "AutoencoderKL bfloat16 TPU issue and cpu/cuda device mismatch are different device/bfloat16 problems." + }, + { + "left": "issue:4480", + "right": "issue:6807", + "accept": false, + "reason": "Kernel crash on Mac M1 MPS is unrelated to contributor test collection failures on MPS." + }, + { + "left": "issue:5607", + "right": "issue:6090", + "accept": false, + "reason": "Tensor size mismatch and channel-count mismatch are both shape errors, but they are different model inputs and failure signatures." + }, + { + "left": "issue:10302", + "right": "issue:9690", + "accept": false, + "reason": "FP8 inference noise is a runtime quality issue, while the other is FP8 example cleanup; not the same bug or fix." + }, + { + "left": "issue:3405", + "right": "issue:6109", + "accept": false, + "reason": "ControlNet training bug and ControlNet-xs with depth control are different problems in different training/inference setups." + }, + { + "left": "issue:1249", + "right": "issue:5509", + "accept": false, + "reason": "ONNXPipeline numpy.device AttributeError is unrelated to image batch size mismatch with np.ndarray/cv2 inputs." + }, + { + "left": "issue:2851", + "right": "issue:898", + "accept": false, + "reason": "TPU push_to_hub training issue is unrelated to a TPU bfloat16 scalar type exception." + }, + { + "left": "issue:7690", + "right": "issue:7939", + "accept": false, + "reason": "Tokenizer loading failure for SDXL is different from failing to load a model from the same folder." + }, + { + "left": "issue:10421", + "right": "issue:12505", + "accept": false, + "reason": "CPU memory leak when moving pipelines to multiple GPUs is not the same as tgate errors on img2img SD/SDXL pipelines." + }, + { + "left": "issue:10855", + "right": "issue:12633", + "accept": false, + "reason": "Gradient accumulation optimizer.step behavior is unrelated to DDIMScheduler timestep-spacing mismatch." + }, + { + "left": "issue:10913", + "right": "issue:11675", + "accept": false, + "reason": "Dataset loading from disk is unrelated to pretrained LoRA weight loading." + }, + { + "left": "issue:11000", + "right": "issue:11214", + "accept": false, + "reason": "Missing shift argument in WanImageToVideoPipeline is unrelated to UVit2DModel unexpected encoder_hidden_states keyword." + }, + { + "left": "issue:1101", + "right": "issue:3418", + "accept": false, + "reason": "Scheduler feature request/addition is unrelated to adding text-encoder support in a LoRA training script." + }, + { + "left": "issue:11127", + "right": "issue:9052", + "accept": false, + "reason": "CivitAI single-file loading failure for a Flux model is different from from_single_file failing on certain checkpoints in general." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 298, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1117", + "issue:11470", + "issue:1181", + "issue:1197", + "issue:11989", + "issue:12437", + "issue:1407", + "issue:1478", + "issue:177", + "issue:1821", + "issue:1857", + "issue:202", + "issue:2392", + "issue:244", + "issue:2462", + "issue:2737", + "issue:2782", + "issue:2871", + "issue:3162", + "issue:3280", + "issue:3391", + "issue:3428", + "issue:3480", + "issue:3769", + "issue:3902", + "issue:4109", + "issue:4446", + "issue:4453", + "issue:5112", + "issue:5170", + "issue:5336", + "issue:5963", + "issue:5977", + "issue:6001", + "issue:6880", + "issue:6958", + "issue:7168", + "issue:725", + "issue:7485", + "issue:7497", + "issue:8659", + "issue:9331", + "issue:939", + "issue:968", + "issue:9756", + "issue:9772", + "issue:988" + ], + "soft_pairs": [ + "issue:1117|issue:202", + "issue:11470|issue:8659", + "issue:1181|issue:725", + "issue:1197|issue:939", + "issue:11989|issue:9331", + "issue:12437|issue:9772", + "issue:1407|issue:1821", + "issue:1478|issue:3769", + "issue:177|issue:244", + "issue:1857|issue:2871", + "issue:2392|issue:3428", + "issue:2462|issue:2737", + "issue:2782|issue:968", + "issue:3162|issue:6958", + "issue:3280|issue:3391", + "issue:3480|issue:5170", + "issue:3480|issue:5336", + "issue:3902|issue:7497", + "issue:4109|issue:6001", + "issue:4446|issue:6880", + "issue:4453|issue:988", + "issue:5112|issue:7485", + "issue:5963|issue:7168", + "issue:5977|issue:9756" + ], + "prepared_review_unit_hash": "43b8792452c8a183929d243da6ab674ed9da0d8cf228a3a2b49fc3f0e6e40bdd", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33186, + "estimated_input_tokens": 8297, + "estimated_eval_tokens": 16850 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a mixed set of unrelated Diffusers issues spanning training scripts, pipeline bugs, scheduler problems, feature requests, and docs/tests. I do not see a single duplicate theme strong enough to pick a canonical issue, and there are no PRs here.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1117", + "right": "issue:202", + "accept": false, + "reason": "Both are test-related, but one is about negative prompts and the other about unet_blocks coverage; different code paths and goals." + }, + { + "left": "issue:11470", + "right": "issue:8659", + "accept": false, + "reason": "Both mention training scripts, but one is about TensorBoard image logging in ControlNet SDXL and the other is checkpoint resume/inference loading in text-to-image SDXL." + }, + { + "left": "issue:1181", + "right": "issue:725", + "accept": false, + "reason": "Training-from-scratch support is unrelated to adding device_map/accelerate loading support." + }, + { + "left": "issue:1197", + "right": "issue:939", + "accept": false, + "reason": "Both concern community pipelines, but one is a specific OpenAI diffusion pipeline request and the other is about listing multiple community pipes; not the same change." + }, + { + "left": "issue:11989", + "right": "issue:9331", + "accept": false, + "reason": "Pure-black inference output is a model/weight symptom, while the other is a scheduler timestep indexing bug." + }, + { + "left": "issue:12437", + "right": "issue:9772", + "accept": false, + "reason": "Both are feature requests for support of different models/features; no shared bug or merged implementation path." + }, + { + "left": "issue:1407", + "right": "issue:1821", + "accept": false, + "reason": "ONNX feature_extractor regression and negative_prompt ineffectiveness in inpaint are unrelated pipeline issues." + }, + { + "left": "issue:1478", + "right": "issue:3769", + "accept": false, + "reason": "Both relate to image output behavior, but one is about upscaler output count and the other about panorama quarters; different defects." + }, + { + "left": "issue:177", + "right": "issue:244", + "accept": false, + "reason": "Two documentation tasks with no common underlying issue." + }, + { + "left": "issue:1857", + "right": "issue:2871", + "accept": false, + "reason": "Poorly tested UnCLIP pipeline and latent output handling in inpainting are separate concerns." + }, + { + "left": "issue:2392", + "right": "issue:3428", + "accept": false, + "reason": "Both involve img2img-style prompting, but one is a prompt_embeds validation error and the other is an unexpected result after pipeline modification." + }, + { + "left": "issue:2462", + "right": "issue:2737", + "accept": false, + "reason": "IterableDataset finetuning support and scheduler CLIP guidance support are different features." + }, + { + "left": "issue:2782", + "right": "issue:968", + "accept": false, + "reason": "Sequential model offloading error and slow model loading are different performance/loading issues." + }, + { + "left": "issue:3162", + "right": "issue:6958", + "accept": false, + "reason": "Missing learned_classifier_free_sampling_embeddings and use_linear_projection in unet_motion_model are unrelated bugs." + }, + { + "left": "issue:3280", + "right": "issue:3391", + "accept": false, + "reason": "Both touch DeepFloyd IF, but one is scheduler compatibility and the other is overexposed super-resolution output." + }, + { + "left": "issue:3480", + "right": "issue:5170", + "accept": false, + "reason": "LoRA scale parameter request and removing LoRA after loading are not the same change." + }, + { + "left": "issue:3480", + "right": "issue:5336", + "accept": false, + "reason": "Text-encoder LoRA scaling and ControlNet img2img strength are different pipeline parameters." + }, + { + "left": "issue:3902", + "right": "issue:7497", + "accept": false, + "reason": "Control-a-video and fine-grained attribute control are distinct feature requests." + }, + { + "left": "issue:4109", + "right": "issue:6001", + "accept": false, + "reason": "Both involve StableDiffusionXLInpaintPipeline, but one is a general failure and the other is a from_single_file refiner class-mapping bug." + }, + { + "left": "issue:4446", + "right": "issue:6880", + "accept": false, + "reason": "Custom text_encoder loading and Custom Diffusion retrieve.py are unrelated." + }, + { + "left": "issue:4453", + "right": "issue:988", + "accept": false, + "reason": "SDXL LoRA conversion guidance and FSDP training examples are different topics." + }, + { + "left": "issue:5112", + "right": "issue:7485", + "accept": false, + "reason": "An SDXL ControlNet img2img shape error is unrelated to a safety_checker callable TypeError." + }, + { + "left": "issue:5963", + "right": "issue:7168", + "accept": false, + "reason": "Both mention embeds, but they affect different models/pipelines and different failure modes." + }, + { + "left": "issue:5977", + "right": "issue:9756", + "accept": false, + "reason": "Training-time LoRA key cleanup and a missing notebook file are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 299, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11973", + "issue:13256", + "issue:1407", + "issue:1540", + "issue:1709", + "issue:1941", + "issue:2091", + "issue:2185", + "issue:2213", + "issue:2250", + "issue:2265", + "issue:2412", + "issue:2799", + "issue:2966", + "issue:3379", + "issue:3381", + "issue:3591", + "issue:4219", + "issue:4456", + "issue:4483", + "issue:4488", + "issue:4674", + "issue:4868", + "issue:4985", + "issue:5465", + "issue:5628", + "issue:5794", + "issue:5875", + "issue:6028", + "issue:6162", + "issue:6518", + "issue:6565", + "issue:6783", + "issue:6832", + "issue:7102", + "issue:7178", + "issue:7183", + "issue:7450", + "issue:7708", + "issue:8380", + "issue:8909", + "issue:9138", + "issue:9210", + "issue:9227", + "issue:9320", + "issue:9350", + "issue:9637" + ], + "soft_pairs": [ + "issue:6162|issue:6832", + "issue:6518|issue:9138", + "issue:7102|issue:7450", + "issue:8380|issue:9210", + "issue:2091|issue:2213", + "issue:2799|issue:5465", + "issue:1540|issue:2412", + "issue:9350|issue:9637", + "issue:6565|issue:8909", + "issue:3591|issue:6565", + "issue:4674|issue:6028", + "issue:1709|issue:2265", + "issue:4483|issue:6783", + "issue:2966|issue:4985", + "issue:1941|issue:3379", + "issue:11973|issue:9227", + "issue:7178|issue:9320", + "issue:13256|issue:7708", + "issue:4219|issue:4488", + "issue:4456|issue:4868", + "issue:2250|issue:3381", + "issue:2185|issue:5794", + "issue:1407|issue:5875", + "issue:5628|issue:7183" + ], + "prepared_review_unit_hash": "ff038538cefb72a5b2fa310a00b0e832a1975475f824ed073665f45e3c5878fd", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33894, + "estimated_input_tokens": 8474, + "estimated_eval_tokens": 17204 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a loose collection of mostly unrelated diffusers issues; the soft-similarity pairs share vocabulary or a subsystem, but not the same concrete bug, so none should be merged as duplicates. No pull requests are present. Issue 9227 is the best representative of the small Flux DreamBooth subgroup, but there is no strong duplicate hub overall.", + "confidence": 0.69, + "canonical_issue_reason": "Issue 9227 is the most concrete, self-contained report in the closest cluster (Flux DreamBooth LoRA training), with a specific script/model context and reproducible runtime problem.", + "canonical_pr_reason": null, + "best_issue_reason": "Among these issues, 9227 is the best anchor for triage because it is specific, actionable, and closest to the only apparent sub-theme in the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6162", + "right": "issue:6832", + "accept": false, + "reason": "Both mention IP-Adapter/shape errors, but they fail in different places with different exceptions and likely different root causes." + }, + { + "left": "issue:6518", + "right": "issue:9138", + "accept": false, + "reason": "Completely different errors: one is a NoneType floor-division failure in a distillation script, the other is an int-vs-str comparison type error." + }, + { + "left": "issue:7102", + "right": "issue:7450", + "accept": false, + "reason": "Both touch generation/model code, but one is a ControlNet multi-prompt bug and the other is an AutoencoderKL multithreading issue." + }, + { + "left": "issue:8380", + "right": "issue:9210", + "accept": false, + "reason": "Different code paths and symptoms: a ControlNet forward default-value question versus dataset column validation for image/text inputs." + }, + { + "left": "issue:2091", + "right": "issue:2213", + "accept": false, + "reason": "Both involve distributed training, but one is checkpoint resume on multi-GPU and the other is a TPU v4-8 hang with no distributed environment." + }, + { + "left": "issue:2799", + "right": "issue:5465", + "accept": false, + "reason": "One is checkpoint/pipeline mismatch handling; the other is a DiffEdit inpaint_strength limitation. Not the same bug." + }, + { + "left": "issue:1540", + "right": "issue:2412", + "accept": false, + "reason": "Both are Dreambooth-related, but one is missing MODEL_TYPE during execution and the other is a generic Dreambooth error with different failure details." + }, + { + "left": "issue:9350", + "right": "issue:9637", + "accept": false, + "reason": "Distinct problems: a deprecated txt_ids tensor shape warning versus an xFormers attention-mask/bfloat16 edge case." + }, + { + "left": "issue:6565", + "right": "issue:8909", + "accept": false, + "reason": "Different training workflows and failures: DPO loss instability versus saving text_encoder_ti in advanced Dreambooth LoRA training." + }, + { + "left": "issue:3591", + "right": "issue:6565", + "accept": false, + "reason": "ControlNet loss-curve confusion is not the same as DPO diffusion loss spikes/noised sample generation." + }, + { + "left": "issue:4674", + "right": "issue:6028", + "accept": false, + "reason": "A DiffusionPipeline memory leak when changing dimensions is unrelated to Kandinsky 3.0 out-of-memory errors." + }, + { + "left": "issue:1709", + "right": "issue:2265", + "accept": false, + "reason": "Both reference ONNX, but one is a pipeline tensor-astype bug and the other is ONNXRuntime incompatibility in a training script." + }, + { + "left": "issue:4483", + "right": "issue:6783", + "accept": false, + "reason": "Different models and defects: SDXL generator nondeterminism versus PixArt-XL generations being corrupted." + }, + { + "left": "issue:2966", + "right": "issue:4985", + "accept": false, + "reason": "Separate training issues with different symptoms: multi-GPU instruct-pix2pix problems versus SDXL training OOM." + }, + { + "left": "issue:1941", + "right": "issue:3379", + "accept": false, + "reason": "UnCLIP custom pipeline loading and Dreambooth checkpoint-resume are unrelated bugs." + }, + { + "left": "issue:11973", + "right": "issue:9227", + "accept": false, + "reason": "Same broad Flux/Dreambooth area, but different concrete failures: missing required CLI arg versus a runtime problem with a specific FLUX.1-dev model." + }, + { + "left": "issue:7178", + "right": "issue:9320", + "accept": false, + "reason": "Video export malfunction and custom diffusion save/load corruption are unrelated." + }, + { + "left": "issue:13256", + "right": "issue:7708", + "accept": false, + "reason": "One is a package-version compatibility complaint; the other is a missing tokenizer/config.json artifact in an SDXL model repo." + }, + { + "left": "issue:4219", + "right": "issue:4488", + "accept": false, + "reason": "Both concern ControlNet/SDXL loading, but one is about converting ControlNet checkpoints and the other is about SDXL ckpt loading without pipeline_class." + }, + { + "left": "issue:4456", + "right": "issue:4868", + "accept": false, + "reason": "Different AttributeErrors from different objects and code paths; not the same loader bug." + }, + { + "left": "issue:2250", + "right": "issue:3381", + "accept": false, + "reason": "Both are Dreambooth/inference-adjacent, but one fails to generate and the other has discolored batch inpaint output." + }, + { + "left": "issue:2185", + "right": "issue:5794", + "accept": false, + "reason": "Both mention missing config files, but one is a training-example packaging issue and the other is a model repo asset issue." + }, + { + "left": "issue:1407", + "right": "issue:5875", + "accept": false, + "reason": "Both relate to ONNX, but they are different conversion/pipeline problems with different missing inputs and failures." + }, + { + "left": "issue:5628", + "right": "issue:7183", + "accept": false, + "reason": "Scheduler offset behavior with Karras sigmas is not the same as a mislabeled scheduler config class name." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 300, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10302", + "issue:10467", + "issue:10638", + "issue:10803", + "issue:10804", + "issue:10963", + "issue:1099", + "issue:11169", + "issue:1255", + "issue:12606", + "issue:13035", + "issue:1784", + "issue:2213", + "issue:2410", + "issue:2674", + "issue:2737", + "issue:3788", + "issue:3901", + "issue:4037", + "issue:4139", + "issue:4578", + "issue:4720", + "issue:5017", + "issue:5178", + "issue:5919", + "issue:5932", + "issue:5957", + "issue:6093", + "issue:6176", + "issue:6363", + "issue:6368", + "issue:6399", + "issue:6445", + "issue:6517", + "issue:6533", + "issue:6801", + "issue:7012", + "issue:7221", + "issue:7243", + "issue:7330", + "issue:7569", + "issue:7751", + "issue:817", + "issue:8612", + "issue:9186", + "issue:9461", + "issue:9477", + "issue:9619" + ], + "soft_pairs": [ + "issue:4037|issue:7751", + "issue:6363|issue:6445", + "issue:2213|issue:2410", + "issue:10467|issue:10804", + "issue:7012|issue:7330", + "issue:10803|issue:7243", + "issue:11169|issue:13035", + "issue:1784|issue:2737", + "issue:3788|issue:6533", + "issue:4139|issue:817", + "issue:5017|issue:9186", + "issue:5957|issue:9619", + "issue:5932|issue:6176", + "issue:10302|issue:9461", + "issue:4720|issue:8612", + "issue:5178|issue:7569", + "issue:6368|issue:6517", + "issue:10638|issue:6801", + "issue:10963|issue:12606", + "issue:1099|issue:1255", + "issue:2674|issue:3901", + "issue:4578|issue:7221", + "issue:5919|issue:9477", + "issue:6093|issue:6399" + ], + "prepared_review_unit_hash": "c607aec9fda96aa92b6800a3ce57a974b535f2f1ff5861802d3e1119510eedaf", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34015, + "estimated_input_tokens": 8504, + "estimated_eval_tokens": 17264 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No convincing duplicate cluster here: the items span unrelated bugs, feature requests, and docs/import issues across different pipelines, schedulers, and models. I would not merge any of the soft edges.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:10302 is the clearest standalone bug report and the most broadly phrased among the set, but it does not subsume the other issues as duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4037", + "right": "issue:7751", + "accept": false, + "reason": "Different failures in different paths: ControlNet FSDP training validation vs Animatediff conversion errors." + }, + { + "left": "issue:6363", + "right": "issue:6445", + "accept": false, + "reason": "One is an FP16 gradient unscale runtime error; the other is a caption column validation error." + }, + { + "left": "issue:2213", + "right": "issue:2410", + "accept": false, + "reason": "TPU distributed hang is unrelated to missing output artifacts in the Flax training script." + }, + { + "left": "issue:10467", + "right": "issue:10804", + "accept": false, + "reason": "One is an FP8 example build artifact name; the other is a LoRA loading incompatibility." + }, + { + "left": "issue:7012", + "right": "issue:7330", + "accept": false, + "reason": "Different symptoms: v-prediction output quality vs FP16 gradient unscale failure during training." + }, + { + "left": "issue:10803", + "right": "issue:7243", + "accept": false, + "reason": "Different feature requests/new components: SANARubber vs ResAdapter pipeline proposal." + }, + { + "left": "issue:11169", + "right": "issue:13035", + "accept": false, + "reason": "Binary NumPy incompatibility is not the same as a missing MT5Tokenizer import." + }, + { + "left": "issue:1784", + "right": "issue:2737", + "accept": false, + "reason": "Generic multi-timestep scheduler support is not the same as CLIP guidance support for a specific scheduler." + }, + { + "left": "issue:3788", + "right": "issue:6533", + "accept": false, + "reason": "Different pipeline requests: UniControl vs Marigold depth estimation." + }, + { + "left": "issue:4139", + "right": "issue:817", + "accept": false, + "reason": "Both involve precision, but one is a custom attention processor cast issue and the other is a DreamBooth mixed-precision training problem." + }, + { + "left": "issue:5017", + "right": "issue:9186", + "accept": false, + "reason": "Control mode request is a feature ask; differential diffusion support is a distinct pipeline feature." + }, + { + "left": "issue:5957", + "right": "issue:9619", + "accept": false, + "reason": "LoRACompatibleConv padding_mode behavior is unrelated to adding interrupt support in ControlNet." + }, + { + "left": "issue:5932", + "right": "issue:6176", + "accept": false, + "reason": "Channel-mismatch runtime error is a different bug from loading LoRA weights after DreamBooth LoRA training." + }, + { + "left": "issue:10302", + "right": "issue:9461", + "accept": false, + "reason": "Both mention inference, but one is a concrete FP8 noise bug and the other is too vague/underspecified to be the same issue." + }, + { + "left": "issue:4720", + "right": "issue:8612", + "accept": false, + "reason": "AutoencoderTiny pipeline incompatibility is unrelated to Pixart-sigma mixed-precision inference." + }, + { + "left": "issue:5178", + "right": "issue:7569", + "accept": false, + "reason": "DPM-SDE resolution-change failure and a Mac FreeU test failure are different code paths and environments." + }, + { + "left": "issue:6368", + "right": "issue:6517", + "accept": false, + "reason": "Unsupported LoRA checkpoint layer metadata is not the same as a ControlNet SDXL import traceback." + }, + { + "left": "issue:10638", + "right": "issue:6801", + "accept": false, + "reason": "Scheduler script running issue is not the same as loading a scheduler on a specific diffusers version." + }, + { + "left": "issue:10963", + "right": "issue:12606", + "accept": false, + "reason": "Missing AutoencoderKLWan export and wrong import in a conversion script are separate import-path problems." + }, + { + "left": "issue:1099", + "right": "issue:1255", + "accept": false, + "reason": "Dreambooth class-name issue is unrelated to importing DPMSolverMultistepScheduler." + }, + { + "left": "issue:2674", + "right": "issue:3901", + "accept": false, + "reason": "Missing safetensors dependency is not the same as a missing requirements.txt file." + }, + { + "left": "issue:4578", + "right": "issue:7221", + "accept": false, + "reason": "Documentation about VAE usage is unrelated to noisy inference output." + }, + { + "left": "issue:5919", + "right": "issue:9477", + "accept": false, + "reason": "Missing set_lora_layer on Linear and a GatheredParameters callable error are different failures." + }, + { + "left": "issue:6093", + "right": "issue:6399", + "accept": false, + "reason": "Hub push behavior in a training script is not the same as LoRA visibility in UI tools." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 301, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10035", + "issue:10596", + "issue:11047", + "issue:11839", + "issue:11885", + "issue:13162", + "issue:1519", + "issue:1964", + "issue:2044", + "issue:2097", + "issue:2786", + "issue:2966", + "issue:3287", + "issue:4206", + "issue:4241", + "issue:4266", + "issue:4631", + "issue:4701", + "issue:5079", + "issue:5429", + "issue:5485", + "issue:5553", + "issue:5598", + "issue:5605", + "issue:5743", + "issue:5917", + "issue:6162", + "issue:6529", + "issue:6574", + "issue:6949", + "issue:7061", + "issue:7239", + "issue:7418", + "issue:7575", + "issue:7695", + "issue:7735", + "issue:7950", + "issue:8451", + "issue:8502", + "issue:8551", + "issue:861", + "issue:8613", + "issue:8850", + "issue:9336", + "issue:9477", + "issue:9568", + "issue:9889" + ], + "soft_pairs": [ + "issue:7061|issue:7418", + "issue:8451|issue:9336", + "issue:11885|issue:13162", + "issue:4631|issue:6949", + "issue:2097|issue:6162", + "issue:7735|issue:8613", + "issue:5553|issue:5917", + "issue:11047|issue:8502", + "issue:1519|issue:5485", + "issue:4701|issue:7575", + "issue:5598|issue:9477", + "issue:5605|issue:6529", + "issue:5743|issue:8551", + "issue:10035|issue:9568", + "issue:7950|issue:9889", + "issue:4266|issue:7239", + "issue:6574|issue:7695", + "issue:4206|issue:8850", + "issue:10596|issue:11839", + "issue:1964|issue:5429", + "issue:2044|issue:2966", + "issue:2786|issue:861", + "issue:3287|issue:4241", + "issue:3287|issue:5079" + ], + "prepared_review_unit_hash": "af89dbd52f50f778c7420573cce0f349e11c1976ab9f184abcd3f54f199afd25", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33289, + "estimated_input_tokens": 8323, + "estimated_eval_tokens": 16902 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: most items only share broad Diffusers/Flux/SDXL vocabulary, not the same bug. I rejected every soft edge as a true duplicate and picked issue 11885 only as the strongest standalone report, not because it clearly duplicates the others.", + "confidence": 0.46, + "canonical_issue_reason": "issue:11885 has the richest, most concrete bug report in the set, with detailed reproduction context and discussion; among unrelated issues, it is the best standalone anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11885 is the most specific and actionable issue here, making it the best representative if one must be chosen.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7061", + "right": "issue:7418", + "accept": false, + "reason": "Docstring wording vs a pipeline code bug are different problems; no evidence they describe the same underlying defect." + }, + { + "left": "issue:8451", + "right": "issue:9336", + "accept": false, + "reason": "Training-script parameter freeze documentation and IPAdapter requires_grad behavior are unrelated." + }, + { + "left": "issue:11885", + "right": "issue:13162", + "accept": false, + "reason": "Both mention LoRA/FLUX, but one is a load_lora_weights bug in a specific dev version and the other is a feature/support request for a different model; not the same bug." + }, + { + "left": "issue:4631", + "right": "issue:6949", + "accept": false, + "reason": "Same scheduler family, but one is a scalar conversion RuntimeError and the other is blank images at even step numbers; different failure modes." + }, + { + "left": "issue:2097", + "right": "issue:6162", + "accept": false, + "reason": "UNet1D usage and IP-Adapter shape mismatch are separate issues in different model paths." + }, + { + "left": "issue:7735", + "right": "issue:8613", + "accept": false, + "reason": "Missing caption column and OOM from caption column usage are distinct training failures." + }, + { + "left": "issue:5553", + "right": "issue:5917", + "accept": false, + "reason": "Custom model loading failure and checkpoint conversion regression are different code paths and symptoms." + }, + { + "left": "issue:11047", + "right": "issue:8502", + "accept": false, + "reason": "ControlNet inpaint availability and SD3 medium 512x512 generation are unrelated." + }, + { + "left": "issue:1519", + "right": "issue:5485", + "accept": false, + "reason": "Noisy batch output on Apple M2 and slow ControlNet batch inference are different bugs." + }, + { + "left": "issue:4701", + "right": "issue:7575", + "accept": false, + "reason": "Autoencoder decoder CUDA differentiation error and Transformer2DModel adanorm shape error are unrelated." + }, + { + "left": "issue:5598", + "right": "issue:9477", + "accept": false, + "reason": "A text-encoder modification bug and a GatheredParameters callable error do not describe the same underlying problem." + }, + { + "left": "issue:5605", + "right": "issue:6529", + "accept": false, + "reason": "Per-image caption support request and SDXL Fooocus Inpaint are unrelated." + }, + { + "left": "issue:5743", + "right": "issue:8551", + "accept": false, + "reason": "Training stuck at 0% and VAE latent device placement on balanced device_map are different issues." + }, + { + "left": "issue:10035", + "right": "issue:9568", + "accept": false, + "reason": "CogVideoX VAE memory growth and autoencoder reconstruction failure are different symptoms with no clear shared root cause." + }, + { + "left": "issue:7950", + "right": "issue:9889", + "accept": false, + "reason": "PyTorch version incompatibility and a torch/CUDA segmentation fault are not the same bug." + }, + { + "left": "issue:4266", + "right": "issue:7239", + "accept": false, + "reason": "Both are SDXL shape issues, but one is a Mac broadcast incompatibility and the other is a DreamBooth LoRA matmul dimension mismatch; not enough to treat as duplicates." + }, + { + "left": "issue:6574", + "right": "issue:7695", + "accept": false, + "reason": "An SVD pipeline warning and ignored ip_adapter_masks in attention are unrelated." + }, + { + "left": "issue:4206", + "right": "issue:8850", + "accept": false, + "reason": "Broken SDXL controlnet training and a broken community-pipelines mirror are different problems." + }, + { + "left": "issue:10596", + "right": "issue:11839", + "accept": false, + "reason": "Both involve Flux pipelines and shape/input errors, but they target different pipelines and different failure points; insufficient evidence of one root cause." + }, + { + "left": "issue:1964", + "right": "issue:5429", + "accept": false, + "reason": "PyTorch 2.0 support planning and adding no-VAE support in examples are unrelated." + }, + { + "left": "issue:2044", + "right": "issue:2966", + "accept": false, + "reason": "DDP dtype attribute error and multi-GPU training script issues are different bugs." + }, + { + "left": "issue:2786", + "right": "issue:861", + "accept": false, + "reason": "Depth2Img numpy/transformers compatibility and ckpt-to-diffusers conversion are unrelated." + }, + { + "left": "issue:3287", + "right": "issue:4241", + "accept": false, + "reason": "Support for improved DDPM and LoRA fine-tuning for unidiffusers are different feature requests." + }, + { + "left": "issue:3287", + "right": "issue:5079", + "accept": false, + "reason": "Support for improved DDPM and LoRA loading support are unrelated feature requests." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 302, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10303", + "issue:11436", + "issue:11497", + "issue:12610", + "issue:1405", + "issue:1486", + "issue:1746", + "issue:1990", + "issue:2392", + "issue:2437", + "issue:3182", + "issue:3401", + "issue:3854", + "issue:3958", + "issue:3970", + "issue:3975", + "issue:4116", + "issue:4241", + "issue:4255", + "issue:4269", + "issue:4353", + "issue:4383", + "issue:4414", + "issue:4438", + "issue:4993", + "issue:5016", + "issue:5017", + "issue:5171", + "issue:5335", + "issue:5368", + "issue:5372", + "issue:5570", + "issue:579", + "issue:5980", + "issue:6161", + "issue:6288", + "issue:6412", + "issue:6486", + "issue:6958", + "issue:7914", + "issue:7968", + "issue:8393", + "issue:8482", + "issue:8507", + "issue:8543", + "issue:8615", + "issue:9241", + "issue:9926" + ], + "soft_pairs": [ + "issue:3970|issue:4353", + "issue:3975|issue:7914", + "issue:4241|issue:8615", + "issue:4269|issue:5171", + "issue:4383|issue:5980", + "issue:4438|issue:5372", + "issue:4993|issue:5570", + "issue:6161|issue:9241", + "issue:6486|issue:8543", + "issue:8482|issue:9926", + "issue:1746|issue:579", + "issue:3401|issue:5368", + "issue:3182|issue:3958", + "issue:11436|issue:12610", + "issue:2392|issue:5335", + "issue:4255|issue:8393", + "issue:10303|issue:7968", + "issue:11497|issue:8507", + "issue:1405|issue:3854", + "issue:1486|issue:4414", + "issue:1990|issue:2437", + "issue:4116|issue:6958", + "issue:5016|issue:6288", + "issue:5017|issue:6412" + ], + "prepared_review_unit_hash": "c76f6fc213745b09aa20b551a9ab58db0a1f9de8fbdc8534797380ea41913573", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33670, + "estimated_input_tokens": 8418, + "estimated_eval_tokens": 17092 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a false-positive mix of unrelated issues spanning attention bugs, dtype/device mismatches, training scripts, ControlNet, SDXL, and feature requests. I found no true duplicate pair and no meaningful PR cluster.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue stands out; the items are thematically too unrelated to represent one underlying bug.", + "canonical_pr_reason": null, + "best_issue_reason": "No best issue overall: none of the issues cleanly covers the others or represents a shared root cause.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3970", + "right": "issue:4353", + "accept": false, + "reason": "Both mention SDXL, but one is prompt-embeddings failure and the other is generic poor image quality; different problems." + }, + { + "left": "issue:3975", + "right": "issue:7914", + "accept": false, + "reason": "Typo in an error message vs a device_map/textual-inversion runtime failure; unrelated." + }, + { + "left": "issue:4241", + "right": "issue:8615", + "accept": false, + "reason": "Feature request for LoRA fine-tuning vs adding fuse_lora support on SD3; not the same change." + }, + { + "left": "issue:4269", + "right": "issue:5171", + "accept": false, + "reason": "Different API failures in different pipelines: ControlNet check_inputs TypeError vs SDXL init kwarg error." + }, + { + "left": "issue:4383", + "right": "issue:5980", + "accept": false, + "reason": "ControlNet model usage question vs output file-format question; no shared underlying bug." + }, + { + "left": "issue:4438", + "right": "issue:5372", + "accept": false, + "reason": "Generic SDXL error report vs a safety_checker usage question; unrelated." + }, + { + "left": "issue:4993", + "right": "issue:5570", + "accept": false, + "reason": "Both are packaging/import issues, but they concern different missing symbols and different fixes." + }, + { + "left": "issue:6161", + "right": "issue:9241", + "accept": false, + "reason": "Sigma-handling behavior vs LoRA conversion script request; different code paths and goals." + }, + { + "left": "issue:6486", + "right": "issue:8543", + "accept": false, + "reason": "Embedding retraction happening twice vs gradient checkpointing failure; separate training bugs." + }, + { + "left": "issue:8482", + "right": "issue:9926", + "accept": false, + "reason": "SD3 model support request vs gguf quantization/speed support; different feature requests." + }, + { + "left": "issue:1746", + "right": "issue:579", + "accept": false, + "reason": "Flax pipeline error vs missing config.json in textual inversion; unrelated." + }, + { + "left": "issue:3401", + "right": "issue:5368", + "accept": false, + "reason": "Class label validation bug vs mixed-precision attention dtype mismatch; different failures." + }, + { + "left": "issue:3182", + "right": "issue:3958", + "accept": false, + "reason": "Both involve offload, but one is a custom pipeline CPU-offload incompatibility and the other is LoRA with CPU offload; not the same concrete bug." + }, + { + "left": "issue:11436", + "right": "issue:12610", + "accept": false, + "reason": "Both are mismatch errors, but one is dtype mismatch in Hidream inference and the other is device mismatch with Quanto + Group Offload; different root causes." + }, + { + "left": "issue:2392", + "right": "issue:5335", + "accept": false, + "reason": "Img2Img prompt_embeds ValueError vs a local deployment/network access question; no overlap." + }, + { + "left": "issue:4255", + "right": "issue:8393", + "accept": false, + "reason": "Image quality complaint vs slow checkpoint-shard loading; unrelated." + }, + { + "left": "issue:10303", + "right": "issue:7968", + "accept": false, + "reason": "head_to_batch_dim tensor permutation bug vs attention in motion module; not the same code-path problem." + }, + { + "left": "issue:11497", + "right": "issue:8507", + "accept": false, + "reason": "Cache key dependency bug in preprocessing vs SD3 train_text_encoder failure; different scripts and issues." + }, + { + "left": "issue:1405", + "right": "issue:3854", + "accept": false, + "reason": "Attention slicing breakage vs from_ckpt lockup; unrelated." + }, + { + "left": "issue:1486", + "right": "issue:4414", + "accept": false, + "reason": "DDIMScheduler prediction_type bug vs Consistency Model sampling issue; different components." + }, + { + "left": "issue:1990", + "right": "issue:2437", + "accept": false, + "reason": "Pipeline proposal for Depth2ImgVariation vs T2I-Adapter pipeline request; distinct features." + }, + { + "left": "issue:4116", + "right": "issue:6958", + "accept": false, + "reason": "SDXL img2img embeddings issue vs missing use_linear_projection in motion model; unrelated." + }, + { + "left": "issue:5016", + "right": "issue:6288", + "accept": false, + "reason": "DreamBooth LoRA text encoder training bug vs a learning-rate tuning complaint; different fixes." + }, + { + "left": "issue:5017", + "right": "issue:6412", + "accept": false, + "reason": "Control mode feature request vs ControlNet annotators to ONNX; not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 303, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10227", + "issue:11329", + "issue:11437", + "issue:11874", + "issue:12009", + "issue:13221", + "issue:2331", + "issue:2332", + "issue:3112", + "issue:3233", + "issue:338", + "issue:3380", + "issue:339", + "issue:3643", + "issue:3683", + "issue:3699", + "issue:3730", + "issue:3808", + "issue:3937", + "issue:3975", + "issue:4117", + "issue:4321", + "issue:4325", + "issue:4416", + "issue:4846", + "issue:497", + "issue:5233", + "issue:5284", + "issue:5485", + "issue:5866", + "issue:6093", + "issue:6222", + "issue:6242", + "issue:6250", + "issue:6533", + "issue:6570", + "issue:7142", + "issue:7197", + "issue:7440", + "issue:7450", + "issue:7640", + "issue:9350", + "issue:9476", + "issue:9530", + "issue:970", + "issue:9704", + "issue:9889", + "issue:9901" + ], + "soft_pairs": [ + "issue:6242|issue:7440", + "issue:9704|issue:9901", + "issue:11437|issue:9476", + "issue:6570|issue:9350", + "issue:11329|issue:9530", + "issue:3643|issue:7640", + "issue:2331|issue:6533", + "issue:4325|issue:5233", + "issue:7142|issue:9889", + "issue:3699|issue:970", + "issue:11874|issue:13221", + "issue:2332|issue:4846", + "issue:3233|issue:6093", + "issue:3808|issue:4117", + "issue:5284|issue:5866", + "issue:3975|issue:497", + "issue:5485|issue:6222", + "issue:6250|issue:7197", + "issue:3683|issue:7450", + "issue:10227|issue:12009", + "issue:3112|issue:5284", + "issue:338|issue:4416", + "issue:3380|issue:3730", + "issue:339|issue:4416", + "issue:3937|issue:4321" + ], + "prepared_review_unit_hash": "63c7ac267a3a0087cef05c3a970588cdb4f5b17d32bc40196d3e5d2bacb1710b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34017, + "estimated_input_tokens": 8505, + "estimated_eval_tokens": 17266 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the soft pairs link unrelated bugs, feature requests, tests, and training/runtime errors. No soft-edge pair looks like the same underlying issue or change.", + "confidence": 0.96, + "canonical_issue_reason": "Issue 10227 is the cleanest standalone bug report here: it names a specific exception and a concrete LoRA-related failure mode. The rest of the items are mostly unrelated subsystems or different error classes.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10227 is the most actionable representative issue, with a precise error message and clear bug framing. It is not a duplicate anchor for the other items, which are mostly unrelated.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6242", + "right": "issue:7440", + "accept": false, + "reason": "Different problems: dataset/log request vs dataset availability for text-to-image." + }, + { + "left": "issue:9704", + "right": "issue:9901", + "accept": false, + "reason": "Different failure modes: cuDNN execution-plan error vs tuple-shape AttributeError in attention processing." + }, + { + "left": "issue:11437", + "right": "issue:9476", + "accept": false, + "reason": "Unrelated symptoms: missing training outputs vs Flux validation dtype mismatch." + }, + { + "left": "issue:6570", + "right": "issue:9350", + "accept": false, + "reason": "Different SDXL issues: tensor-size mismatch in InstructPix2Pix vs deprecated txt_ids tensor shape warning." + }, + { + "left": "issue:11329", + "right": "issue:9530", + "accept": false, + "reason": "Both mention memory, but one is a bitsandbytes leak and the other is GPU memory freeing after torch.compile; different bugs." + }, + { + "left": "issue:3643", + "right": "issue:7640", + "accept": false, + "reason": "Both are runtime errors, but one is latent decoding overflow and the other is single-file load/dimensions behavior." + }, + { + "left": "issue:2331", + "right": "issue:6533", + "accept": false, + "reason": "Different feature areas: ControlNet pipeline addition vs Marigold depth pipeline." + }, + { + "left": "issue:4325", + "right": "issue:5233", + "accept": false, + "reason": "Different bugs: black SDXL images vs wrong callback step value." + }, + { + "left": "issue:7142", + "right": "issue:9889", + "accept": false, + "reason": "Both are SDXL inference-related, but one is result mismatch and the other is a CUDA segfault; not the same code-path issue." + }, + { + "left": "issue:3699", + "right": "issue:970", + "accept": false, + "reason": "Unrelated: macOS CUDA assertion vs generic integration test failures." + }, + { + "left": "issue:11874", + "right": "issue:13221", + "accept": false, + "reason": "Different LoRA topics: exclude_modules handling vs Zimage LoRA support request." + }, + { + "left": "issue:2332", + "right": "issue:4846", + "accept": false, + "reason": "Different dreambooth problems at different stages and with different symptoms." + }, + { + "left": "issue:3233", + "right": "issue:6093", + "accept": false, + "reason": "Different features: converting LoRA to safetensors vs push_to_hub repo creation in a training script." + }, + { + "left": "issue:3808", + "right": "issue:4117", + "accept": false, + "reason": "Both are Dreambooth training issues, but for different models/pipelines and failure modes." + }, + { + "left": "issue:5284", + "right": "issue:5866", + "accept": false, + "reason": "Feature request for ControlNet-LLLite support vs AnimateDiff+ControlNet combination issue." + }, + { + "left": "issue:3975", + "right": "issue:497", + "accept": false, + "reason": "Both are typo reports, but they concern different error messages and code paths." + }, + { + "left": "issue:5485", + "right": "issue:6222", + "accept": false, + "reason": "Performance slowdown in ControlNet batch inference vs DDPM scheduler batch-size dependency." + }, + { + "left": "issue:6250", + "right": "issue:7197", + "accept": false, + "reason": "Both mention KeyError, but they are different keys and different workflows (SDXL VAE loading vs resume training)." + }, + { + "left": "issue:3683", + "right": "issue:7450", + "accept": false, + "reason": "Save-pretrained support for Multi-ControlNet is unrelated to AutoencoderKL multithreading issues." + }, + { + "left": "issue:10227", + "right": "issue:12009", + "accept": false, + "reason": "Different loader failures: LoRA feature-shape limitation vs GGUF single-file load hitting meta-tensor copy error." + }, + { + "left": "issue:3112", + "right": "issue:5284", + "accept": false, + "reason": "Multi-ControlNet inpainting pipeline request is not the same as ControlNet-LLLite support." + }, + { + "left": "issue:338", + "right": "issue:4416", + "accept": false, + "reason": "Both are test-related, but they cover different components and test additions." + }, + { + "left": "issue:3380", + "right": "issue:3730", + "accept": false, + "reason": "Different bugs: embedding size calculation vs wrong timestep in inpainting blending." + }, + { + "left": "issue:339", + "right": "issue:4416", + "accept": false, + "reason": "Separate test requests for different schedulers/adapters; not the same underlying issue." + }, + { + "left": "issue:3937", + "right": "issue:4321", + "accept": false, + "reason": "Unrelated: ZeroscopeXL model behavior vs ONNX DirectML black-image bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 304, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10239", + "issue:10653", + "issue:10865", + "issue:10954", + "issue:1537", + "issue:1672", + "issue:1708", + "issue:2185", + "issue:2659", + "issue:2988", + "issue:3280", + "issue:3355", + "issue:3880", + "issue:3948", + "issue:3975", + "issue:4279", + "issue:4403", + "issue:4554", + "issue:457", + "issue:4720", + "issue:5108", + "issue:5135", + "issue:5153", + "issue:5256", + "issue:5575", + "issue:5578", + "issue:5607", + "issue:5685", + "issue:5925", + "issue:5977", + "issue:6252", + "issue:6363", + "issue:6399", + "issue:6454", + "issue:6731", + "issue:6901", + "issue:7183", + "issue:7185", + "issue:7214", + "issue:7217", + "issue:7333", + "issue:8264", + "issue:9032", + "issue:9278", + "issue:9320", + "issue:9361", + "issue:9370", + "issue:9471" + ], + "soft_pairs": [ + "issue:4279|issue:5108", + "issue:4403|issue:5578", + "issue:4554|issue:9032", + "issue:5135|issue:5575", + "issue:5153|issue:7333", + "issue:5256|issue:5925", + "issue:5977|issue:6399", + "issue:6454|issue:6731", + "issue:6901|issue:9370", + "issue:8264|issue:9278", + "issue:6363|issue:9471", + "issue:1537|issue:457", + "issue:1708|issue:2185", + "issue:6252|issue:9320", + "issue:3355|issue:3975", + "issue:1672|issue:3948", + "issue:2659|issue:5607", + "issue:3280|issue:7214", + "issue:10239|issue:10653", + "issue:2988|issue:5685", + "issue:7183|issue:7217", + "issue:3880|issue:4720", + "issue:10865|issue:7185", + "issue:10954|issue:9361" + ], + "prepared_review_unit_hash": "9bc4fb09e3584ab8598ab3267489cf4bda4a69882f322cb85447a9943daf2dc6", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33802, + "estimated_input_tokens": 8451, + "estimated_eval_tokens": 17158 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a set of loosely similar but ultimately unrelated issues; none of the soft pairs look like true duplicates or the same underlying change.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue stands out because the items span unrelated bugs, feature requests, and model/pipeline-specific failures.", + "canonical_pr_reason": null, + "best_issue_reason": "No strong global best issue: 10239 is a concrete bug report, but it is too narrow and not representative of the rest of the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4279", + "right": "issue:5108", + "accept": false, + "reason": "Both mention LoRA loading problems, but they concern different model families and different failure modes (SDXL LoRAs vs T2I Multiadapter XL exceptions)." + }, + { + "left": "issue:4403", + "right": "issue:5578", + "accept": false, + "reason": "One is a missing Half LayerNorm kernel on a runtime backend; the other is an OSError about a missing model_index.json file." + }, + { + "left": "issue:4554", + "right": "issue:9032", + "accept": false, + "reason": "OOM in a Kandinsky example is unrelated to a request for a TPU minimal example in Colab." + }, + { + "left": "issue:5135", + "right": "issue:5575", + "accept": false, + "reason": "LoRA quality degradation/xformers behavior is a different problem from configuring transformer_in hidden size for LoRA training." + }, + { + "left": "issue:5153", + "right": "issue:7333", + "accept": false, + "reason": "FreeU is a feature proposal, while the other is about an image-to-video noise rectification method; not the same bug or change." + }, + { + "left": "issue:5256", + "right": "issue:5925", + "accept": false, + "reason": "Training support for Insta-Flow and adding ZipLora for multi-LoRA inference are separate enhancements." + }, + { + "left": "issue:5977", + "right": "issue:6399", + "accept": false, + "reason": "Saving extra unet.unet keys during LoRA training and LoRA visibility in UIs are related only at a high level, not the same concrete issue." + }, + { + "left": "issue:6454", + "right": "issue:6731", + "accept": false, + "reason": "FP16 unscale-gradient training failure is unrelated to an unhandled pipeline-class error." + }, + { + "left": "issue:6901", + "right": "issue:9370", + "accept": false, + "reason": "A missing clip_sample implementation in a scheduler is a different defect from a missing pooled_projection argument in an embedding forward method." + }, + { + "left": "issue:8264", + "right": "issue:9278", + "accept": false, + "reason": "Train stopping at 0% and FLUX.1-dev multigpu DreamBooth training are different training problems." + }, + { + "left": "issue:6363", + "right": "issue:9471", + "accept": false, + "reason": "Attempting to unscale FP16 gradients is unrelated to a resource-type detection error from multiple file extensions." + }, + { + "left": "issue:1537", + "right": "issue:457", + "accept": false, + "reason": "Both involve MPS, but one is a scheduler incompatibility and the other is rendering artifacts; not the same bug." + }, + { + "left": "issue:1708", + "right": "issue:2185", + "accept": false, + "reason": "How to pass a yaml config for inference and missing config files for training are separate documentation/configuration issues." + }, + { + "left": "issue:6252", + "right": "issue:9320", + "accept": false, + "reason": "LoRA weights not loading from a checkpoint and finetuned models not being saved/loaded properly in custom diffusion are different persistence paths and problems." + }, + { + "left": "issue:3355", + "right": "issue:3975", + "accept": false, + "reason": "Inconsistent safetensors loading behavior is not the same as a typo in an error message." + }, + { + "left": "issue:1672", + "right": "issue:3948", + "accept": false, + "reason": "Wrong image size after conversion and pale generated images are distinct output-quality bugs." + }, + { + "left": "issue:2659", + "right": "issue:5607", + "accept": false, + "reason": "Batch-size-dependent variation in generated images is a different issue from a tensor dimension mismatch crash." + }, + { + "left": "issue:3280", + "right": "issue:7214", + "accept": false, + "reason": "General scheduler incompatibility with DeepFloyd IF and a specific karras_sigmas regression are related only by subsystem, not by same bug." + }, + { + "left": "issue:10239", + "right": "issue:10653", + "accept": false, + "reason": "Both concern HunyuanVideo offload/loading, but one is about sequential CPU offload support and the other is about bitsandbytes 8-bit modules not supporting .to(cpu); different code paths." + }, + { + "left": "issue:2988", + "right": "issue:5685", + "accept": false, + "reason": "A crash when num_training_steps equals num_inference_steps is not the same as a vague report of potential scheduler issues." + }, + { + "left": "issue:7183", + "right": "issue:7217", + "accept": false, + "reason": "Wrong scheduler class name in config after switching schedulers is unrelated to DDIM config incompatibility." + }, + { + "left": "issue:3880", + "right": "issue:4720", + "accept": false, + "reason": "Inpainting degradation and AutoencoderTiny incompatibility with img2img/inpainting are different root causes and fixes." + }, + { + "left": "issue:10865", + "right": "issue:7185", + "accept": false, + "reason": "A model choice question for SDXL inpainting is unrelated to whether diffusers supports PyTorch 2.2.0." + }, + { + "left": "issue:10954", + "right": "issue:9361", + "accept": false, + "reason": "A FLUX.1-dev LoRA loading failure in ComfyUI and a LoRA having no effect with FluxPipeline.from_pretrained() are distinct inference failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 305, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11343", + "issue:12147", + "issue:13261", + "issue:1363", + "issue:1405", + "issue:1572", + "issue:1633", + "issue:1730", + "issue:2599", + "issue:3008", + "issue:3303", + "issue:3441", + "issue:3597", + "issue:3631", + "issue:409", + "issue:4111", + "issue:4446", + "issue:4677", + "issue:4720", + "issue:5022", + "issue:5079", + "issue:514", + "issue:5429", + "issue:5607", + "issue:5678", + "issue:5931", + "issue:5989", + "issue:6222", + "issue:6335", + "issue:6385", + "issue:6431", + "issue:6506", + "issue:6513", + "issue:6572", + "issue:6639", + "issue:6956", + "issue:7142", + "issue:7355", + "issue:7438", + "issue:7549", + "issue:8435", + "issue:8970", + "issue:9034", + "issue:9167", + "issue:9387", + "issue:9476", + "issue:9488" + ], + "soft_pairs": [ + "issue:12147|issue:13261", + "issue:1633|issue:5079", + "issue:3303|issue:514", + "issue:5429|issue:6513", + "issue:6572|issue:9387", + "issue:6639|issue:7142", + "issue:6506|issue:6956", + "issue:1730|issue:2599", + "issue:3441|issue:5678", + "issue:1363|issue:3008", + "issue:6385|issue:6956", + "issue:7355|issue:9476", + "issue:5607|issue:6222", + "issue:11343|issue:9167", + "issue:4111|issue:6431", + "issue:5989|issue:7549", + "issue:8970|issue:9488", + "issue:1405|issue:409", + "issue:4446|issue:8435", + "issue:3597|issue:6335", + "issue:5931|issue:7438", + "issue:1572|issue:4677", + "issue:3631|issue:4720", + "issue:5022|issue:9034" + ], + "prepared_review_unit_hash": "aff90623733cffe9072deb8516452b62de836c72bc967258b2411e2581ac536d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33339, + "estimated_input_tokens": 8335, + "estimated_eval_tokens": 16926 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is noisy: the items span many unrelated diffusers bugs (loading/imports, LoRA, specific pipelines, memory issues, scheduler behavior, etc.). I would not merge the soft pairs; they are mostly superficially similar titles, not the same underlying defect.", + "confidence": 0.89, + "canonical_issue_reason": "issue:6431 is the broadest and most representative loading-failure report in the set, with high discussion and references; if one issue must anchor the cluster, this is the closest fit.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6431 best captures the cluster\u2019s general 'pipelines won\u2019t load' theme and is more central than the narrower model- or pipeline-specific reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12147", + "right": "issue:13261", + "accept": false, + "reason": "Different models and failure modes: Wan2.2 Lightning LoRA loading vs FLUX.2-klein-9B LoRA/LoKR incompatibility. Same broad LoRA area, but not the same bug." + }, + { + "left": "issue:1633", + "right": "issue:5079", + "accept": false, + "reason": "Karras sigma support in k-diffusion wrapper vs LyCORIS loading support. Different feature requests in different code paths." + }, + { + "left": "issue:3303", + "right": "issue:514", + "accept": false, + "reason": "One is a missing triton dependency in Modelscope; the other is attention slicing errors. Unrelated runtime problems." + }, + { + "left": "issue:5429", + "right": "issue:6513", + "accept": false, + "reason": "Models without VAE in examples vs T2IAdapter support for a specific model. Both are support gaps, but not the same underlying issue." + }, + { + "left": "issue:6572", + "right": "issue:9387", + "accept": false, + "reason": "ControlNetXS-SDXL-Inpaint-Pipeline request vs MimicMotion pipeline request. Different pipeline additions." + }, + { + "left": "issue:6639", + "right": "issue:7142", + "accept": false, + "reason": "SDXL LoRA loading output mismatch vs SDXL-lightning inference differing from webui. Similar area, but different behavior and likely different causes." + }, + { + "left": "issue:6506", + "right": "issue:6956", + "accept": false, + "reason": "Wrong output type for StableVideoDiffusion vs CUDA OOM on SageMaker. Different bugs and symptoms." + }, + { + "left": "issue:1730", + "right": "issue:2599", + "accept": false, + "reason": "CKPT conversion/import failure vs Dreambooth multi-subject training quality degradation. Completely different problems." + }, + { + "left": "issue:3441", + "right": "issue:5678", + "accept": false, + "reason": "VRAM usage regression vs higher-order derivative error in scaled_dot_product_attention. Different code paths and failure types." + }, + { + "left": "issue:1363", + "right": "issue:3008", + "accept": false, + "reason": "ONNX long-prompt/LMS scheduler error vs lpw_stable_diffusion torch.randn argument issue. Different pipelines and bugs." + }, + { + "left": "issue:6385", + "right": "issue:6956", + "accept": false, + "reason": "Both are memory-related in video diffusion, but one reports abnormally high VRAM generally while the other is an OOM on SageMaker. Not the same concrete defect." + }, + { + "left": "issue:7355", + "right": "issue:9476", + "accept": false, + "reason": "Stable Cascade arbitrary-resolution/bfloat16 error vs Flux dreambooth validation dtype mismatch. Different models and error conditions." + }, + { + "left": "issue:5607", + "right": "issue:6222", + "accept": false, + "reason": "Tensor shape mismatch in generation vs DDPM scheduler batch-size dependency. Related at a high level, but not the same bug." + }, + { + "left": "issue:11343", + "right": "issue:9167", + "accept": false, + "reason": "Transformers update breaking diffusers imports vs cannot import StableDiffusion3Pipeline. Different import regressions." + }, + { + "left": "issue:4111", + "right": "issue:6431", + "accept": false, + "reason": "SDXL img2img loading VRAM issue vs generic 'none of the pipelines will load anymore'. Related only by loading problems, not the same underlying bug." + }, + { + "left": "issue:5989", + "right": "issue:7549", + "accept": false, + "reason": "A safetensors.torch bug vs potential UNet EMA bug in an SDXL training script. Different layers and different failure modes." + }, + { + "left": "issue:8970", + "right": "issue:9488", + "accept": false, + "reason": "Kolors MPS black image vs Lumina pipeline fails to generate any image. Both are output failures, but model-specific and not the same code-path issue." + }, + { + "left": "issue:1405", + "right": "issue:409", + "accept": false, + "reason": "Both mention attention slicing, but one is a broken method call on main and the other is an AttributeError on StableDiffusionPipeline. Closely related, yet not clearly the same bug instance." + }, + { + "left": "issue:4446", + "right": "issue:8435", + "accept": false, + "reason": "Custom text_encoder in from_single_file vs generic from_single_file runtime error. Same API family, but insufficient evidence they are the same defect." + }, + { + "left": "issue:3597", + "right": "issue:6335", + "accept": false, + "reason": "ONNX lpw_stable_diffusion failure vs ControlNetImg2Img output-size control bug. Different pipelines and symptoms." + }, + { + "left": "issue:5931", + "right": "issue:7438", + "accept": false, + "reason": "Non-deterministic generation vs XPU generation stall. Different behavioral issues." + }, + { + "left": "issue:1572", + "right": "issue:4677", + "accept": false, + "reason": "Stable_diffusion_mega img2img/inpainting incompatibility vs a doc example script error. One is a pipeline capability bug; the other is a documentation/example failure." + }, + { + "left": "issue:3631", + "right": "issue:4720", + "accept": false, + "reason": "Inpainting pipeline exception when providing latents vs AutoencoderTiny incompatibility with img2img/inpainting. Both touch inpainting, but one is a latents-handling bug and the other is an autoencoder compatibility issue." + }, + { + "left": "issue:5022", + "right": "issue:9034", + "accept": false, + "reason": "UNet2DModel import error due missing PreTrainedTokenizer vs AutoPipelineForText2Image requiring sentencepiece. Different dependency/import problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 306, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10039", + "issue:10227", + "issue:10659", + "issue:10866", + "issue:11569", + "issue:11687", + "issue:13067", + "issue:1335", + "issue:1445", + "issue:1478", + "issue:1785", + "issue:1831", + "issue:2089", + "issue:228", + "issue:2324", + "issue:2961", + "issue:3010", + "issue:3301", + "issue:3366", + "issue:3452", + "issue:3750", + "issue:4269", + "issue:444", + "issue:4450", + "issue:4456", + "issue:4557", + "issue:4702", + "issue:5138", + "issue:5433", + "issue:6068", + "issue:6157", + "issue:6234", + "issue:6549", + "issue:6552", + "issue:6584", + "issue:6891", + "issue:6934", + "issue:7441", + "issue:7456", + "issue:7556", + "issue:8317", + "issue:8809", + "issue:8887", + "issue:892", + "issue:9106", + "issue:9371", + "issue:9793", + "issue:984" + ], + "soft_pairs": [ + "issue:6584|issue:6934", + "issue:1831|issue:2089", + "issue:1445|issue:444", + "issue:10227|issue:8809", + "issue:10039|issue:6234", + "issue:11569|issue:9371", + "issue:11687|issue:13067", + "issue:1335|issue:4269", + "issue:228|issue:3452", + "issue:2324|issue:3301", + "issue:2961|issue:4702", + "issue:3010|issue:7556", + "issue:4456|issue:4557", + "issue:5138|issue:8887", + "issue:6552|issue:6891", + "issue:7441|issue:9106", + "issue:7456|issue:8317", + "issue:1478|issue:1785", + "issue:5433|issue:6068", + "issue:892|issue:984", + "issue:3366|issue:4450", + "issue:3750|issue:6549", + "issue:10659|issue:10866", + "issue:6157|issue:9793" + ], + "prepared_review_unit_hash": "504ce5552769a71ac357db0acff42382140407eaf718bb2d51877bcc82fb35da", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33776, + "estimated_input_tokens": 8444, + "estimated_eval_tokens": 17144 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a false-positive similarity group: the items span unrelated bugs, feature requests, docs updates, and training/model-specific problems. No soft pair looks like the same concrete issue or change.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue is safe here; the cluster mixes unrelated topics across different pipelines, training scripts, docs, and model families, so any one issue would misrepresent the group.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a good global representative: the set is too heterogeneous to nominate one as the best duplicate target or canonical anchor.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6584", + "right": "issue:6934", + "accept": false, + "reason": "Both are conversion-related, but one is a specific DreamShaper inpaint conversion failure and the other is a broken SDXL format conversion path; different concrete bugs." + }, + { + "left": "issue:1831", + "right": "issue:2089", + "accept": false, + "reason": "Both mention DreamBooth, but one is a precision mismatch for class images and the other is CUDA OOM during AltDiffusion training; not the same bug." + }, + { + "left": "issue:1445", + "right": "issue:444", + "accept": false, + "reason": "Legacy ONNX inpaint AttributeError vs an index error on num_inference_steps; unrelated code paths and failures." + }, + { + "left": "issue:10227", + "right": "issue:8809", + "accept": false, + "reason": "LoRA feature limitation in one issue and sequence-length output inconsistency in the other are different problems." + }, + { + "left": "issue:10039", + "right": "issue:6234", + "accept": false, + "reason": "Missing output sample size in a UNet block is unrelated to a training script issue." + }, + { + "left": "issue:11569", + "right": "issue:9371", + "accept": false, + "reason": "A feature request for a repo and a Flax pipeline API refactor are not the same underlying change." + }, + { + "left": "issue:11687", + "right": "issue:13067", + "accept": false, + "reason": "Docs request for Pruna and feature support for Anima are different topics." + }, + { + "left": "issue:1335", + "right": "issue:4269", + "accept": false, + "reason": "ONNXStableDiffusionPipeline constructor error vs ControlNet input-check TypeError; different pipelines and code paths." + }, + { + "left": "issue:228", + "right": "issue:3452", + "accept": false, + "reason": "Broken model download link and low-VRAM DreamBooth training are unrelated." + }, + { + "left": "issue:2324", + "right": "issue:3301", + "accept": false, + "reason": "Both are DreamBooth training complaints, but one is about instance data not being read while the other is a LoRA training script failure; too broad to merge." + }, + { + "left": "issue:2961", + "right": "issue:4702", + "accept": false, + "reason": "StableUnCLIP training example request and VQ-VAE example request are distinct feature/example asks." + }, + { + "left": "issue:3010", + "right": "issue:7556", + "accept": false, + "reason": "Both are docs-related, but they cover different documentation areas and changes." + }, + { + "left": "issue:4456", + "right": "issue:4557", + "accept": false, + "reason": "ModuleList indexing AttributeError in LoRA loading is unrelated to a super().__getattr__ AttributeError." + }, + { + "left": "issue:5138", + "right": "issue:8887", + "accept": false, + "reason": "Moving compute_snr to training_utils and fixing SD3 VAE encode are unrelated training-script changes." + }, + { + "left": "issue:6552", + "right": "issue:6891", + "accept": false, + "reason": "Both are tracker issues, but one targets FP16 resume problems and the other model card utilities; different underlying work." + }, + { + "left": "issue:7441", + "right": "issue:9106", + "accept": false, + "reason": "Pytest on Python 3.12 and a PixArt-alpha no-attribute runtime error are unrelated failures." + }, + { + "left": "issue:7456", + "right": "issue:8317", + "accept": false, + "reason": "A missing raise statement and a missing generator argument are separate defects." + }, + { + "left": "issue:1478", + "right": "issue:1785", + "accept": false, + "reason": "Both involve multiple outputs, but one is an upscaler output limitation and the other is num_images_per_prompt in UnCLIP; not the same bug." + }, + { + "left": "issue:5433", + "right": "issue:6068", + "accept": false, + "reason": "Both are SDXL sampling quality issues, but they affect different schedulers and have different symptom descriptions." + }, + { + "left": "issue:892", + "right": "issue:984", + "accept": false, + "reason": "NVIDIA container compatibility and F.interpolate large-batch breakage are unrelated." + }, + { + "left": "issue:3366", + "right": "issue:4450", + "accept": false, + "reason": "LoRALinearLayer autocast regression and multi-text inversion example failure are different problems." + }, + { + "left": "issue:3750", + "right": "issue:6549", + "accept": false, + "reason": "Lack of LoRA loading support in KDiffusion and IP-Adapter+LoRA warning logs are different issues, not one fix." + }, + { + "left": "issue:10659", + "right": "issue:10866", + "accept": false, + "reason": "ConsisID output quality and Lumina Image 2.0 LoRA compatibility are model-specific and unrelated." + }, + { + "left": "issue:6157", + "right": "issue:9793", + "accept": false, + "reason": "IP-Adapter not working in ControlNet img2img and a stale progress bar are unrelated bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 307, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10591", + "issue:1072", + "issue:10967", + "issue:11050", + "issue:11133", + "issue:11410", + "issue:11827", + "issue:12606", + "issue:13104", + "issue:1895", + "issue:222", + "issue:2359", + "issue:2375", + "issue:281", + "issue:3540", + "issue:3748", + "issue:3933", + "issue:4213", + "issue:4250", + "issue:4304", + "issue:4400", + "issue:4419", + "issue:4605", + "issue:4630", + "issue:5254", + "issue:5314", + "issue:5594", + "issue:6087", + "issue:6094", + "issue:6354", + "issue:6598", + "issue:6686", + "issue:6958", + "issue:7061", + "issue:7228", + "issue:7420", + "issue:7762", + "issue:8410", + "issue:8493", + "issue:8935", + "issue:9051", + "issue:9186", + "issue:9387", + "issue:9471", + "issue:9530", + "issue:9756", + "issue:9944" + ], + "soft_pairs": [ + "issue:4605|issue:5254", + "issue:6087|issue:6686", + "issue:8493|issue:9944", + "issue:8935|issue:9051", + "issue:10591|issue:12606", + "issue:10967|issue:8410", + "issue:6686|issue:9530", + "issue:3540|issue:6094", + "issue:3933|issue:7420", + "issue:11050|issue:13104", + "issue:1895|issue:222", + "issue:2359|issue:5594", + "issue:2375|issue:4213", + "issue:3748|issue:7228", + "issue:4304|issue:4400", + "issue:4419|issue:7061", + "issue:5314|issue:9387", + "issue:6958|issue:9756", + "issue:11133|issue:11827", + "issue:11410|issue:9471", + "issue:6598|issue:7762", + "issue:1072|issue:4250", + "issue:281|issue:4630", + "issue:6354|issue:9186" + ], + "prepared_review_unit_hash": "899b6ea8cc46bf439a56319d07d7b466c23397b4a49c89349ecc056d7473aaa1", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33261, + "estimated_input_tokens": 8316, + "estimated_eval_tokens": 16888 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated diffusers issues. The soft pairs share only broad keywords like LoRA, loading, pipelines, or SD3, but they describe different code paths and failure modes, so none should be merged as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": "No single issue clearly represents the same underlying bug as the others; the set spans unrelated subsystems (SD3 training, model loading, attention, compile, video, and docs).", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11050 is the clearest, most concrete bug report with a specific file, symptom, and fix target, so it is the best triage anchor among these issues, though it is not a duplicate match for the rest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4605", + "right": "issue:5254", + "accept": false, + "reason": "Both are control/inpaint-related, but one is an inpaint-model error and the other requests multi-ControlNet support; different features and failures." + }, + { + "left": "issue:6087", + "right": "issue:6686", + "accept": false, + "reason": "One is about persisting LoRA config/alpha correctly, the other about Dynamo compile performance after save/load; same general area, different bug." + }, + { + "left": "issue:8493", + "right": "issue:9944", + "accept": false, + "reason": "Both involve SD3 loading, but one is a state_dict mismatch in SD3Transformer2DModel and the other is SD3.5 size mismatch; different model/version issues." + }, + { + "left": "issue:8935", + "right": "issue:9051", + "accept": false, + "reason": "Both are batch/long-prompt shape issues in different pipelines (AuraFlow vs Flux); not the same code path or symptom." + }, + { + "left": "issue:10591", + "right": "issue:12606", + "accept": false, + "reason": "One is an SD3 LoRA training script problem, the other is a wrong import in a conversion utility; unrelated fixes." + }, + { + "left": "issue:10967", + "right": "issue:8410", + "accept": false, + "reason": "Both are requests to add models/pipelines, but they are different implementations and roadmap items, not the same change." + }, + { + "left": "issue:6686", + "right": "issue:9530", + "accept": false, + "reason": "Both mention save/load and compilation, but one is about no speedup after recompilation and the other is about GPU memory freeing after torch.compile; distinct problems." + }, + { + "left": "issue:3540", + "right": "issue:6094", + "accept": false, + "reason": "Both concern prompt-embed handling, but one is a TextToVideoZero API support request while the other is a broader pipeline regression after an update." + }, + { + "left": "issue:3933", + "right": "issue:7420", + "accept": false, + "reason": "Both involve compilation, but one is logging breaking graph compile and the other is a generic torch.compile failure; not the same defect." + }, + { + "left": "issue:11050", + "right": "issue:13104", + "accept": false, + "reason": "One is a dtype-casting bug in an SD3 controlnet training script; the other is an undefined logger issue in a different code path." + }, + { + "left": "issue:1895", + "right": "issue:222", + "accept": false, + "reason": "Both are training/runtime failures, but the first is EMA multi-GPU synchronization and the second is an unspecified runtime error; too broad to merge." + }, + { + "left": "issue:2359", + "right": "issue:5594", + "accept": false, + "reason": "One asks for latent output support in img2img; the other is about LoRA fine-tuning memory savings. Different features." + }, + { + "left": "issue:2375", + "right": "issue:4213", + "accept": false, + "reason": "Both are model-loading related, but one is a missing safe_open import and the other is loading SDXL from_single_file without accelerate; not the same bug." + }, + { + "left": "issue:3748", + "right": "issue:7228", + "accept": false, + "reason": "Both are loading-related errors, but one is a LoRA safetensor dtype mismatch and the other is a traced-model dtype attribute error." + }, + { + "left": "issue:4304", + "right": "issue:4400", + "accept": false, + "reason": "One requests SDXL text-to-image LoRA training support; the other asks about text_encoder support in an inpaint LoRA script. Related domain, different work." + }, + { + "left": "issue:4419", + "right": "issue:7061", + "accept": false, + "reason": "The first is an inference mismatch for offset noise, while the second is an incorrect docstring; not the same issue class." + }, + { + "left": "issue:5314", + "right": "issue:9387", + "accept": false, + "reason": "One requests a ControlNet reference inpainting pipeline, the other is a MimicMotion pipeline addition; separate features." + }, + { + "left": "issue:6958", + "right": "issue:9756", + "accept": false, + "reason": "Mid-block projection configuration in unet_motion_model is unrelated to a missing notebook file." + }, + { + "left": "issue:11133", + "right": "issue:11827", + "accept": false, + "reason": "One is a CogVideoX image-to-video pipeline bug; the other is a FLUX Kontext safetensors header error. Different models and failure modes." + }, + { + "left": "issue:11410", + "right": "issue:9471", + "accept": false, + "reason": "One is an attention unpacking error in runtime; the other is a file-extension/resource-type loading error. Different layers of the stack." + }, + { + "left": "issue:6598", + "right": "issue:7762", + "accept": false, + "reason": "Both compare outputs against A1111, but one is about img2img result differences and the other is a generic bad-result report; insufficiently specific and likely different causes." + }, + { + "left": "issue:1072", + "right": "issue:4250", + "accept": false, + "reason": "One is a question about loading multiple fine-tuned models; the other reports from_pretrained loading incorrectly. Same broad area, not the same bug." + }, + { + "left": "issue:281", + "right": "issue:4630", + "accept": false, + "reason": "Both touch model loading/LoRA workflows, but one is a request for Accelerate-native loading and the other is post-load LoRA weight modification." + }, + { + "left": "issue:6354", + "right": "issue:9186", + "accept": false, + "reason": "One asks for LoRA support in ControlNet, while the other is about differential diffusion with ControlNet. Different feature requests." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 308, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10039", + "issue:10147", + "issue:10659", + "issue:10797", + "issue:1082", + "issue:11005", + "issue:11229", + "issue:11486", + "issue:1158", + "issue:12329", + "issue:12653", + "issue:13043", + "issue:13073", + "issue:13386", + "issue:1500", + "issue:1572", + "issue:1574", + "issue:1614", + "issue:1734", + "issue:1961", + "issue:1990", + "issue:2444", + "issue:2578", + "issue:2883", + "issue:3774", + "issue:4210", + "issue:4353", + "issue:4354", + "issue:4708", + "issue:4782", + "issue:4907", + "issue:5110", + "issue:5604", + "issue:5835", + "issue:5972", + "issue:6363", + "issue:6407", + "issue:7418", + "issue:7686", + "issue:7773", + "issue:7784", + "issue:7889", + "issue:7900", + "issue:835", + "issue:8873", + "issue:9106", + "issue:9674", + "issue:9856" + ], + "soft_pairs": [ + "issue:2578|issue:5604", + "issue:12329|issue:13073", + "issue:11229|issue:12653", + "issue:11005|issue:7418", + "issue:1158|issue:1500", + "issue:1574|issue:3774", + "issue:1990|issue:2883", + "issue:4354|issue:5835", + "issue:4708|issue:5110", + "issue:13043|issue:13386", + "issue:1082|issue:1961", + "issue:10659|issue:10797", + "issue:4210|issue:7889", + "issue:4353|issue:4907", + "issue:11486|issue:9856", + "issue:1734|issue:2444", + "issue:7784|issue:9106", + "issue:7900|issue:8873", + "issue:6363|issue:7686", + "issue:1614|issue:835", + "issue:5972|issue:9674", + "issue:1572|issue:4782", + "issue:10039|issue:7773", + "issue:10147|issue:6407" + ], + "prepared_review_unit_hash": "566236b3527e066af872a180b5e7177c67c343dee06fc24f6d2fe61651340c87", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34261, + "estimated_input_tokens": 8566, + "estimated_eval_tokens": 17388 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the items span unrelated bugs, feature requests, docs issues, training scripts, model-loading problems, and hardware/runtime errors. None of the soft-linked pairs look like the same underlying issue, so all soft edges should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2578", + "right": "issue:5604", + "accept": false, + "reason": "Editable-install packaging problem vs LoRA unfusing feature gap; different code paths and symptoms." + }, + { + "left": "issue:12329", + "right": "issue:13073", + "accept": false, + "reason": "Wrong model version selection on load vs guidance-scale support bug; both pipeline-related but not the same defect." + }, + { + "left": "issue:11229", + "right": "issue:12653", + "accept": false, + "reason": "Both mention MPS, but one is attention slicing NaNs and the other is a rope dtype/reference issue." + }, + { + "left": "issue:11005", + "right": "issue:7418", + "accept": false, + "reason": "Docstring/default mismatch vs a concrete community pipeline bug; not the same change." + }, + { + "left": "issue:1158", + "right": "issue:1500", + "accept": false, + "reason": "Interfering tests vs pipeline compatibility with a newer diffusers release; unrelated." + }, + { + "left": "issue:1574", + "right": "issue:3774", + "accept": false, + "reason": "Different training scripts and different memory/runtime failures; not one underlying bug." + }, + { + "left": "issue:1990", + "right": "issue:2883", + "accept": false, + "reason": "Separate pipeline proposals for different modalities; no shared defect." + }, + { + "left": "issue:4354", + "right": "issue:5835", + "accept": false, + "reason": "Single-file pipeline type bug vs using a pretrained MusicLDM pipeline; unrelated." + }, + { + "left": "issue:4708", + "right": "issue:5110", + "accept": false, + "reason": "Import error vs Hugging Face repo-id validation error; distinct failure modes." + }, + { + "left": "issue:13043", + "right": "issue:13386", + "accept": false, + "reason": "Kernel/backend compatibility on RTX 5090 vs tensor concatenation crash in a training script; not mergeable as one fix." + }, + { + "left": "issue:1082", + "right": "issue:1961", + "accept": false, + "reason": "Dreambooth CUDA matmul failure vs ColossalAI error; too different to be duplicates." + }, + { + "left": "issue:10659", + "right": "issue:10797", + "accept": false, + "reason": "Different pipelines and different runtime issues (output quality vs group offloading failure)." + }, + { + "left": "issue:4210", + "right": "issue:7889", + "accept": false, + "reason": "UNet forward-API question vs single-file checkpoint loader bugs; unrelated." + }, + { + "left": "issue:4353", + "right": "issue:4907", + "accept": false, + "reason": "Both involve SDXL, but one is poor output quality and the other is an inpainting warning; not the same bug." + }, + { + "left": "issue:11486", + "right": "issue:9856", + "accept": false, + "reason": "Training-script attention backend request vs distributed port conflict; unrelated." + }, + { + "left": "issue:1734", + "right": "issue:2444", + "accept": false, + "reason": "Multi-GPU slowdown investigation vs a generic Dreambooth inpaint execution failure; different problems." + }, + { + "left": "issue:7784", + "right": "issue:9106", + "accept": false, + "reason": "Attribute errors, but in different pipelines and on different code paths." + }, + { + "left": "issue:7900", + "right": "issue:8873", + "accept": false, + "reason": "Import/export packaging issue vs xformers performance regression; not the same issue." + }, + { + "left": "issue:6363", + "right": "issue:7686", + "accept": false, + "reason": "FP16 gradient unscale error during training vs model config validation for cross-attention blocks." + }, + { + "left": "issue:1614", + "right": "issue:835", + "accept": false, + "reason": "Black image output with autocast vs flax output conversion failure; different failure modes." + }, + { + "left": "issue:5972", + "right": "issue:9674", + "accept": false, + "reason": "Documentation on Min-SNR weighting vs a poor-quality SD3 controlnet training result; not a duplicate." + }, + { + "left": "issue:1572", + "right": "issue:4782", + "accept": false, + "reason": "Broad pipeline support problem vs a specific inpainting mask-mutation bug; related area but not the same concrete defect." + }, + { + "left": "issue:10039", + "right": "issue:7773", + "accept": false, + "reason": "Missing output sample size in a UNet block vs batch-size-related Stable Video Diffusion bug; different code paths." + }, + { + "left": "issue:10147", + "right": "issue:6407", + "accept": false, + "reason": "Different feature requests for different model families; no shared underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 309, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10191", + "issue:10697", + "issue:10722", + "issue:10861", + "issue:11005", + "issue:11232", + "issue:1925", + "issue:1969", + "issue:1988", + "issue:2363", + "issue:2471", + "issue:2554", + "issue:2603", + "issue:2618", + "issue:347", + "issue:3645", + "issue:3986", + "issue:4141", + "issue:4269", + "issue:4310", + "issue:434", + "issue:4445", + "issue:4648", + "issue:4675", + "issue:4830", + "issue:4876", + "issue:5050", + "issue:5168", + "issue:5300", + "issue:5538", + "issue:5546", + "issue:5763", + "issue:6113", + "issue:6141", + "issue:6383", + "issue:6439", + "issue:6530", + "issue:6866", + "issue:7009", + "issue:7264", + "issue:7440", + "issue:7897", + "issue:8502", + "issue:851", + "issue:8543", + "issue:9062", + "issue:989", + "issue:9926" + ], + "soft_pairs": [ + "issue:3645|issue:4675", + "issue:4648|issue:5538", + "issue:5300|issue:6383", + "issue:10722|issue:11232", + "issue:4141|issue:5763", + "issue:1969|issue:989", + "issue:2471|issue:434", + "issue:2618|issue:4269", + "issue:1988|issue:2603", + "issue:10697|issue:11005", + "issue:10861|issue:9062", + "issue:2363|issue:6113", + "issue:3986|issue:6866", + "issue:4310|issue:6439", + "issue:4445|issue:7264", + "issue:4876|issue:5050", + "issue:5168|issue:6530", + "issue:6141|issue:9926", + "issue:7009|issue:7440", + "issue:8502|issue:8543", + "issue:1925|issue:851", + "issue:4830|issue:5546", + "issue:10191|issue:7897", + "issue:2554|issue:347" + ], + "prepared_review_unit_hash": "372ad0f891da250ccd3829a3bddbff38f92f7c398197c4ebc6148059d757b782", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33943, + "estimated_input_tokens": 8486, + "estimated_eval_tokens": 17228 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: training bugs, docs/help questions, feature requests, and unrelated pipeline issues. None of the soft pairs look like true duplicates or the same underlying change.", + "confidence": 0.94, + "canonical_issue_reason": "No single canonical duplicate exists for the full set; if forced to pick an anchor, issue 10722 is the most concrete reproducible training bug in the group.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10722 is the strongest representative bug report here: a specific runtime failure with a clear training code path, unlike the help/docs/feature-request items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3645", + "right": "issue:4675", + "accept": false, + "reason": "Different topics: ControlNet inpaint training help vs SDXL ControlNet reference-only support." + }, + { + "left": "issue:4648", + "right": "issue:5538", + "accept": false, + "reason": "Unrelated: missing config.json error vs upscale pipeline not using encoder-decoder latent." + }, + { + "left": "issue:5300", + "right": "issue:6383", + "accept": false, + "reason": "Different concerns: unwanted internet access vs scheduler API/learning-rate behavior." + }, + { + "left": "issue:10722", + "right": "issue:11232", + "accept": false, + "reason": "Both are training-related, but one is a tensor size mismatch in DreamBooth prior preservation and the other is a noise residuals issue in text-to-image fine-tuning; not the same bug." + }, + { + "left": "issue:4141", + "right": "issue:5763", + "accept": false, + "reason": "ControlNet inpaint multi-controlnet behavior is unrelated to save_pretrained safetensors serialization." + }, + { + "left": "issue:1969", + "right": "issue:989", + "accept": false, + "reason": "Both are tensor/runtime errors, but they are distinct failure modes ('view' stride issue vs weight dimensionality mismatch)." + }, + { + "left": "issue:2471", + "right": "issue:434", + "accept": false, + "reason": "Different pipelines and symptoms: Attend-and-Excite size handling vs notebook compatibility with a release." + }, + { + "left": "issue:2618", + "right": "issue:4269", + "accept": false, + "reason": "Different code paths: ControlNet image input type handling vs default-arg TypeError in check_inputs." + }, + { + "left": "issue:1988", + "right": "issue:2603", + "accept": false, + "reason": "One is fp16/bf16 bias type mismatch in a trainer example; the other is non-square image generation in Attend-and-Excite." + }, + { + "left": "issue:10697", + "right": "issue:11005", + "accept": false, + "reason": "Instruct-Pix2Pix random transform inconsistency is unrelated to a docstring/default mismatch in wan i2v pipeline." + }, + { + "left": "issue:10861", + "right": "issue:9062", + "accept": false, + "reason": "StableAudio latent scaling output issue is not the same as an import failure for StableAudioPipeline." + }, + { + "left": "issue:2363", + "right": "issue:6113", + "accept": false, + "reason": "Different asks: converting LoRA files vs using sd_control_collection models from HF repo." + }, + { + "left": "issue:3986", + "right": "issue:6866", + "accept": false, + "reason": "Shap-E mesh output support is unrelated to IP-Adapter support for SDXL ControlNet Inpaint." + }, + { + "left": "issue:4310", + "right": "issue:6439", + "accept": false, + "reason": "SDXL scanline artifacts are not a docs link 404 issue." + }, + { + "left": "issue:4445", + "right": "issue:7264", + "accept": false, + "reason": "LoRA finetuning help is unrelated to serialization/loading of custom transformers models." + }, + { + "left": "issue:4876", + "right": "issue:5050", + "accept": false, + "reason": "LoRA std-dev argument request is unrelated to config changes during LoRA training." + }, + { + "left": "issue:5168", + "right": "issue:6530", + "accept": false, + "reason": "ControlNet-XS support and SD XL K-diffusion with ControlNet are different feature requests." + }, + { + "left": "issue:6141", + "right": "issue:9926", + "accept": false, + "reason": "ControlNet control_mode/resize_mode support is unrelated to gguf quantize/speed-up support." + }, + { + "left": "issue:7009", + "right": "issue:7440", + "accept": false, + "reason": "Text-to-video quality issue is unrelated to a dataset availability problem." + }, + { + "left": "issue:8502", + "right": "issue:8543", + "accept": false, + "reason": "SD3 512x512 generation and SD3 dreambooth gradient checkpointing are distinct issues." + }, + { + "left": "issue:1925", + "right": "issue:851", + "accept": false, + "reason": "Different fp16-related bugs: stable-diffusion-2 inpainting half precision vs generic dtype Float expected Half error." + }, + { + "left": "issue:4830", + "right": "issue:5546", + "accept": false, + "reason": "MultiControlNet tensor size mismatch is not the same as scheduler step-count mismatch with Karras sigmas." + }, + { + "left": "issue:10191", + "right": "issue:7897", + "accept": false, + "reason": "GPU selection problem in training is unrelated to multi-GPU training not working generally." + }, + { + "left": "issue:2554", + "right": "issue:347", + "accept": false, + "reason": "Accelerate version requirement issue is unrelated to dependency resolution for huggingface-hub installation." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 310, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10337", + "issue:10412", + "issue:1056", + "issue:10658", + "issue:10673", + "issue:11221", + "issue:12022", + "issue:12574", + "issue:13077", + "issue:13300", + "issue:1677", + "issue:1785", + "issue:1802", + "issue:2763", + "issue:2941", + "issue:3954", + "issue:4030", + "issue:4266", + "issue:4403", + "issue:4534", + "issue:4964", + "issue:5075", + "issue:5281", + "issue:5334", + "issue:557", + "issue:5617", + "issue:5835", + "issue:5924", + "issue:5989", + "issue:6357", + "issue:6689", + "issue:6725", + "issue:7009", + "issue:7431", + "issue:7519", + "issue:7695", + "issue:7841", + "issue:7962", + "issue:8488", + "issue:8826", + "issue:8873", + "issue:8876", + "issue:9108", + "issue:9171", + "issue:9488", + "issue:9516", + "issue:9780" + ], + "soft_pairs": [ + "issue:4403|issue:5617", + "issue:5334|issue:9516", + "issue:5835|issue:9488", + "issue:5989|issue:6689", + "issue:10658|issue:7962", + "issue:10673|issue:8876", + "issue:13300|issue:5924", + "issue:6725|issue:7009", + "issue:7519|issue:8873", + "issue:11221|issue:8826", + "issue:1785|issue:4030", + "issue:10412|issue:7431", + "issue:7695|issue:7841", + "issue:12574|issue:13077", + "issue:1677|issue:3954", + "issue:2763|issue:5617", + "issue:4266|issue:4534", + "issue:8488|issue:9780", + "issue:2941|issue:557", + "issue:4964|issue:6357", + "issue:10337|issue:9108", + "issue:1056|issue:1802", + "issue:5075|issue:5281", + "issue:12022|issue:9171" + ], + "prepared_review_unit_hash": "f878dedd227c36b562f07a0abb8a7315683bfb60442f002d2df11dfea11e5d36", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33764, + "estimated_input_tokens": 8441, + "estimated_eval_tokens": 17138 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster looks like a set of unrelated issues that only share broad Diffusers/subsystem vocabulary. None of the soft-similarity pairs appear to describe the same concrete bug or fix, so they should all remain separate.", + "confidence": 0.93, + "canonical_issue_reason": "No clear canonical issue: the items span different pipelines, training flows, backends, and loading/runtime failures, with no pair showing the same root cause strongly enough to merge.", + "canonical_pr_reason": "No pull requests are present in the cluster.", + "best_issue_reason": "No single issue is a strong representative for duplicate triage; the nearest-looking titles still differ in model, API path, or failure mode.", + "best_pr_reason": "No pull requests are present in the cluster.", + "soft_edge_verdicts": [ + { + "left": "issue:4403", + "right": "issue:5617", + "accept": false, + "reason": "Unrelated failures: LayerNorm half-precision backend error vs ControlNet save/load issue." + }, + { + "left": "issue:5334", + "right": "issue:9516", + "accept": false, + "reason": "Different topics: multi-model accelerate training API vs FLUX joint_attention_kwargs passthrough." + }, + { + "left": "issue:5835", + "right": "issue:9488", + "accept": false, + "reason": "Different pipelines and symptoms: MusicLDM usage vs Lumina generation failure." + }, + { + "left": "issue:5989", + "right": "issue:6689", + "accept": false, + "reason": "One is a safetensors library bug report; the other is model conversion failure. Too broad to merge." + }, + { + "left": "issue:10658", + "right": "issue:7962", + "accept": false, + "reason": "ONNX Runtime provider options request is unrelated to InstructPix2Pix cross_attention_kwargs plumbing." + }, + { + "left": "issue:10673", + "right": "issue:8876", + "accept": false, + "reason": "Both are pipeline-specific issues, but the root causes differ: shape mismatch vs missing microconditioning." + }, + { + "left": "issue:13300", + "right": "issue:5924", + "accept": false, + "reason": "CPU generation failure for SD3.5/FLUX is unrelated to VAE memory spike behavior." + }, + { + "left": "issue:6725", + "right": "issue:7009", + "accept": false, + "reason": "Different models and problems: generic image generation request vs poor TextToVideoSDPipeline output quality." + }, + { + "left": "issue:7519", + "right": "issue:8873", + "accept": false, + "reason": "XFormers cross_attention_kwargs warning is not the same as performance being slower on A100." + }, + { + "left": "issue:11221", + "right": "issue:8826", + "accept": false, + "reason": "Non-convergent autoencoder training and empty torch.cat runtime error are different failure classes." + }, + { + "left": "issue:1785", + "right": "issue:4030", + "accept": false, + "reason": "UnCLIP num_images_per_prompt bug is unrelated to Stable Diffusion v2.1 embedding runtime error." + }, + { + "left": "issue:10412", + "right": "issue:7431", + "accept": false, + "reason": "Both concern training, but one is excessive VRAM usage and the other is DoRA/text-encoder training issues." + }, + { + "left": "issue:7695", + "right": "issue:7841", + "accept": false, + "reason": "Ignored ip_adapter_masks kwargs are unrelated to SDXL red-dot visual artifacts." + }, + { + "left": "issue:12574", + "right": "issue:13077", + "accept": false, + "reason": "WanVideoToVideo control-argument handling and ZImageControlNet shallow-copy weights are different bugs." + }, + { + "left": "issue:1677", + "right": "issue:3954", + "accept": false, + "reason": "Wrong input dtype for StableDiffusionPipeline is unrelated to multi-GPU scheduler step counting." + }, + { + "left": "issue:2763", + "right": "issue:5617", + "accept": false, + "reason": "ControlNet VRAM regression under cudnn.benchmark is not the same as torch.compile save/load failure." + }, + { + "left": "issue:4266", + "right": "issue:4534", + "accept": false, + "reason": "Both are SDXL on Mac/MPS, but the broadcast incompatibility and validation dim mismatch are distinct." + }, + { + "left": "issue:8488", + "right": "issue:9780", + "accept": false, + "reason": "Both involve StableDiffusion3Pipeline loading, but the reported exceptions suggest different concrete root causes." + }, + { + "left": "issue:2941", + "right": "issue:557", + "accept": false, + "reason": "Scheduler output quality complaints are not the same issue; they reference different schedulers and scenarios." + }, + { + "left": "issue:4964", + "right": "issue:6357", + "accept": false, + "reason": "Model conversion to Diffusers is unrelated to API-vs-local output differences." + }, + { + "left": "issue:10337", + "right": "issue:9108", + "accept": false, + "reason": "Quantized FLUX IPAdapter inference failure is not the same as resuming training with a quantized base model." + }, + { + "left": "issue:1056", + "right": "issue:1802", + "accept": false, + "reason": "Same file, but different bugs: MPS support vs allowing encoder_hidden_states=None." + }, + { + "left": "issue:5075", + "right": "issue:5281", + "accept": false, + "reason": "SDXL refiner prompt-embedding matmul mismatch and multi-pipeline offload device mismatch are different code paths." + }, + { + "left": "issue:12022", + "right": "issue:9171", + "accept": false, + "reason": "Flash-attention interface incompatibility is unrelated to from_single_file v_prediction handling." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 311, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10003", + "issue:1064", + "issue:10839", + "issue:1101", + "issue:11047", + "issue:11127", + "issue:11422", + "issue:11489", + "issue:11519", + "issue:1251", + "issue:2262", + "issue:228", + "issue:272", + "issue:2737", + "issue:2780", + "issue:3301", + "issue:3537", + "issue:3658", + "issue:3672", + "issue:3689", + "issue:3728", + "issue:389", + "issue:3954", + "issue:3970", + "issue:4043", + "issue:4080", + "issue:4086", + "issue:4324", + "issue:4325", + "issue:487", + "issue:4912", + "issue:4921", + "issue:5043", + "issue:5143", + "issue:5546", + "issue:5685", + "issue:6161", + "issue:6288", + "issue:6486", + "issue:6529", + "issue:6783", + "issue:7003", + "issue:7440", + "issue:7889", + "issue:7948", + "issue:7955", + "issue:8813" + ], + "soft_pairs": [ + "issue:4086|issue:7003", + "issue:10003|issue:7889", + "issue:1064|issue:1251", + "issue:10839|issue:11127", + "issue:1101|issue:5043", + "issue:11047|issue:7440", + "issue:11422|issue:11489", + "issue:11519|issue:7948", + "issue:2262|issue:3689", + "issue:228|issue:389", + "issue:272|issue:2737", + "issue:2780|issue:6288", + "issue:3301|issue:4324", + "issue:3537|issue:6161", + "issue:3658|issue:5143", + "issue:3658|issue:6486", + "issue:3672|issue:487", + "issue:3728|issue:7955", + "issue:3954|issue:5685", + "issue:3970|issue:4325", + "issue:4043|issue:6783", + "issue:4080|issue:8813", + "issue:4912|issue:6529", + "issue:4921|issue:5546" + ], + "prepared_review_unit_hash": "ad5446c64f2bedc07e6814959712215d451fc93551ee42ecb4f68833bfe054d0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33208, + "estimated_input_tokens": 8302, + "estimated_eval_tokens": 16860 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is loosely related by diffusion-model issues, but the candidate pairs are mostly different bugs, features, or model-specific requests rather than true duplicates. The most umbrella-like issue is the broad scheduler tracker, but it is still not a duplicate of the others.", + "confidence": 0.88, + "canonical_issue_reason": "issue:5685 is the broadest umbrella item in the set, centered on scheduler problems and able to represent the scheduler-themed subset better than the highly specific reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5685 is the most representative cluster anchor because it is the least specific and closest to a generic triage bucket for several scheduler-adjacent reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4086", + "right": "issue:7003", + "accept": false, + "reason": "Different problems: SDXL ControlNet training failure vs an inpaint pipeline weight-shape mismatch." + }, + { + "left": "issue:10003", + "right": "issue:7889", + "accept": false, + "reason": "Unrelated failures in different components: scheduler stepping bug vs single-file checkpoint loading bug." + }, + { + "left": "issue:1064", + "right": "issue:1251", + "accept": false, + "reason": "Different code paths and symptoms: add_noise error in LMSDiscreteScheduler vs black output on MPS in RePaintPipeline." + }, + { + "left": "issue:10839", + "right": "issue:11127", + "accept": false, + "reason": "Both Flux-related, but one is a training last-step error and the other is a single-file loading/compatibility issue." + }, + { + "left": "issue:1101", + "right": "issue:5043", + "accept": false, + "reason": "Feature requests for entirely different models/pipelines; not the same underlying change." + }, + { + "left": "issue:11047", + "right": "issue:7440", + "accept": false, + "reason": "No substantive overlap: ControlNet inpaint model availability vs dataset availability." + }, + { + "left": "issue:11422", + "right": "issue:11489", + "accept": false, + "reason": "Both training crashes, but they involve different models and scripts, so they do not look like one concrete bug." + }, + { + "left": "issue:11519", + "right": "issue:7948", + "accept": false, + "reason": "Distinct feature requests for different model support, not the same change." + }, + { + "left": "issue:2262", + "right": "issue:3689", + "accept": false, + "reason": "Both LoRA-related usage questions, but loading a safetensors LoRA and unloading weights are separate issues." + }, + { + "left": "issue:228", + "right": "issue:389", + "accept": false, + "reason": "Different failure modes: broken model release link vs broken README code snippet." + }, + { + "left": "issue:272", + "right": "issue:2737", + "accept": false, + "reason": "Different scheduler feature requests affecting different capabilities; too broad to merge as one bug/change." + }, + { + "left": "issue:2780", + "right": "issue:6288", + "accept": false, + "reason": "Training gradient scaling error vs a learning-rate recommendation; not the same bug." + }, + { + "left": "issue:3301", + "right": "issue:4324", + "accept": false, + "reason": "Generic training script failure vs a specific NoneType error in UNet forward; insufficient evidence of one underlying issue." + }, + { + "left": "issue:3537", + "right": "issue:6161", + "accept": false, + "reason": "Unrelated functionality: ControlNet conversion script vs sigma-selection behavior in schedulers." + }, + { + "left": "issue:3658", + "right": "issue:5143", + "accept": false, + "reason": "Both mention subtle UNet/input differences, but one is an explicit added-noise bug in training scripts while the other is a general numerical-difference complaint." + }, + { + "left": "issue:3658", + "right": "issue:6486", + "accept": false, + "reason": "Different training bugs: extra noise latents vs embedding retraction happening twice." + }, + { + "left": "issue:3672", + "right": "issue:487", + "accept": false, + "reason": "Concurrent inference failure and M1 CPU incompatibility are separate platform/runtime issues." + }, + { + "left": "issue:3728", + "right": "issue:7955", + "accept": false, + "reason": "Completely different requests: a new diffusion pipeline vs a portrait identity-preservation model." + }, + { + "left": "issue:3954", + "right": "issue:5685", + "accept": false, + "reason": "Specific multi-GPU step-count bug is not the same concrete issue as the broad 'potential scheduler issues' tracker." + }, + { + "left": "issue:3970", + "right": "issue:4325", + "accept": false, + "reason": "Both SDXL-related, but prompt-embedding failure and black-image casting warnings are different code paths." + }, + { + "left": "issue:4043", + "right": "issue:6783", + "accept": false, + "reason": "SDXL prompt-embedding argument requirements vs PixArt generation corruption; unrelated model families and bugs." + }, + { + "left": "issue:4080", + "right": "issue:8813", + "accept": false, + "reason": "Different feature requests for different pipelines/models; not mergeable as one PR-equivalent change." + }, + { + "left": "issue:4912", + "right": "issue:6529", + "accept": false, + "reason": "Checkpoint conversion support and Fooocus inpaint support are distinct requests." + }, + { + "left": "issue:4921", + "right": "issue:5546", + "accept": false, + "reason": "Both involve refiner behavior, but one is detail erasure and the other is scheduler step counting; not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 312, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11286", + "issue:1185", + "issue:11865", + "issue:1249", + "issue:125", + "issue:1251", + "issue:12896", + "issue:13105", + "issue:13107", + "issue:1462", + "issue:1463", + "issue:1519", + "issue:1556", + "issue:1655", + "issue:1851", + "issue:2548", + "issue:3040", + "issue:3494", + "issue:3886", + "issue:3910", + "issue:4460", + "issue:4733", + "issue:490", + "issue:5014", + "issue:5064", + "issue:5245", + "issue:5458", + "issue:5538", + "issue:5573", + "issue:562", + "issue:5960", + "issue:6418", + "issue:6901", + "issue:6955", + "issue:760", + "issue:7682", + "issue:7922", + "issue:8560", + "issue:8594", + "issue:8915", + "issue:9032", + "issue:9038", + "issue:9171", + "issue:9359", + "issue:9768", + "issue:9844", + "issue:9846", + "issue:9933" + ], + "soft_pairs": [ + "issue:5014|issue:8560", + "issue:5245|issue:8915", + "issue:5538|issue:6418", + "issue:6901|issue:9933", + "issue:6955|issue:7922", + "issue:9032|issue:9038", + "issue:9359|issue:9844", + "issue:5573|issue:5960", + "issue:1249|issue:3040", + "issue:1519|issue:760", + "issue:1463|issue:4733", + "issue:1655|issue:490", + "issue:5064|issue:7682", + "issue:1185|issue:1851", + "issue:11865|issue:9846", + "issue:1251|issue:1556", + "issue:3494|issue:4460", + "issue:11286|issue:13107", + "issue:1462|issue:562", + "issue:9171|issue:9768", + "issue:3886|issue:8594", + "issue:125|issue:2548", + "issue:12896|issue:13105", + "issue:3910|issue:5458" + ], + "prepared_review_unit_hash": "f71feb4763a46d847195e3b38b17476dfa2454c0a4639e80f85ac79a82cdc0f5", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34172, + "estimated_input_tokens": 8543, + "estimated_eval_tokens": 17342 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a false positive: the issues cover many unrelated problems (LoRA loading, MPS/CUDA behavior, scheduler/runtime errors, import/setup problems, OOM, and documentation questions) rather than one shared bug or change.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue is a good canonical representative; the cluster is too heterogeneous and the apparent similarities are mostly superficial.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue cleanly represents the cluster overall. The broadest title is issue:11286, but it still does not match the unrelated mix of bugs here.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5014", + "right": "issue:8560", + "accept": false, + "reason": "Both mention training, but one is about poor DreamBooth LoRA results and the other is SD3 training OOM; different failures and code paths." + }, + { + "left": "issue:5245", + "right": "issue:8915", + "accept": false, + "reason": "Different problems: a pipenv import-stage freeze versus a missing diffusers import symbol." + }, + { + "left": "issue:5538", + "right": "issue:6418", + "accept": false, + "reason": "One is about an upscale pipeline latent path, the other about identical video frames in video diffusion; unrelated." + }, + { + "left": "issue:6901", + "right": "issue:9933", + "accept": false, + "reason": "Missing scheduler method implementation vs missing width/height parameters; different API gaps." + }, + { + "left": "issue:6955", + "right": "issue:7922", + "accept": false, + "reason": "Both are import/attribute errors, but they concern different classes and unrelated missing symbols." + }, + { + "left": "issue:9032", + "right": "issue:9038", + "accept": false, + "reason": "A Colab TPU setup question is unrelated to prompt-weight usage." + }, + { + "left": "issue:9359", + "right": "issue:9844", + "accept": false, + "reason": "Both are SDXL numeric failures, but one is a scheduler step error and the other is VAE encoder NaNs." + }, + { + "left": "issue:5573", + "right": "issue:5960", + "accept": false, + "reason": "ControlNet init slowdown is unrelated to NaNs during image-to-uint8 casting." + }, + { + "left": "issue:1249", + "right": "issue:3040", + "accept": false, + "reason": "Different runtime errors in different areas: ONNX device handling vs a copy-paste type error." + }, + { + "left": "issue:1519", + "right": "issue:760", + "accept": false, + "reason": "Both involve MPS image quality, but the symptoms and likely causes are not specific enough to treat as the same bug." + }, + { + "left": "issue:1463", + "right": "issue:4733", + "accept": false, + "reason": "Missing datasets dependency versus checkpoint resume/optimizer inf-check failure; unrelated." + }, + { + "left": "issue:1655", + "right": "issue:490", + "accept": false, + "reason": "Pipeline initialization failure and memory issues are different bug classes." + }, + { + "left": "issue:5064", + "right": "issue:7682", + "accept": false, + "reason": "Out-of-space during refiner inference is not the same as multi-GPU performance issues." + }, + { + "left": "issue:1185", + "right": "issue:1851", + "accept": false, + "reason": "Both are DreamBooth-related, but reproducibility and multi-GPU slowness are different issues." + }, + { + "left": "issue:11865", + "right": "issue:9846", + "accept": false, + "reason": "Both mention missing from_single_file, but they are different model classes and likely different feature gaps." + }, + { + "left": "issue:1251", + "right": "issue:1556", + "accept": false, + "reason": "Black output on MPS in RePaint is not the same as black images with an NSFW warning on CUDA." + }, + { + "left": "issue:3494", + "right": "issue:4460", + "accept": false, + "reason": "Corrupted images with certain schedulers is different from general output differences between stable diffusion and diffusers." + }, + { + "left": "issue:11286", + "right": "issue:13107", + "accept": false, + "reason": "Both are LoRA loading complaints, but they target different models and error types." + }, + { + "left": "issue:1462", + "right": "issue:562", + "accept": false, + "reason": "An unassigned-variable bug with multiple masks is unrelated to LMS scheduler incompatibility." + }, + { + "left": "issue:9171", + "right": "issue:9768", + "accept": false, + "reason": "A from_single_file regression is unrelated to a torch/CuDNN SDPA NaN error." + }, + { + "left": "issue:3886", + "right": "issue:8594", + "accept": false, + "reason": "DDP watchdog timeout and an UnboundLocalError in training are different issues." + }, + { + "left": "issue:125", + "right": "issue:2548", + "accept": false, + "reason": "Accelerate launch argument error and LoRA saving failure are unrelated." + }, + { + "left": "issue:12896", + "right": "issue:13105", + "accept": false, + "reason": "Both are WAN-related, but one is an MPS-vs-CUDA execution problem and the other is output noise in a different script/model." + }, + { + "left": "issue:3910", + "right": "issue:5458", + "accept": false, + "reason": "Generic LoRA load failure and local_files_only being ignored are different bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 313, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1013", + "issue:10198", + "issue:10591", + "issue:10675", + "issue:10743", + "issue:1083", + "issue:10962", + "issue:11644", + "issue:11661", + "issue:12126", + "issue:13232", + "issue:13301", + "issue:13477", + "issue:1574", + "issue:1708", + "issue:2015", + "issue:2035", + "issue:2439", + "issue:3026", + "issue:3418", + "issue:3803", + "issue:3887", + "issue:4014", + "issue:4337", + "issue:4366", + "issue:4504", + "issue:5124", + "issue:5246", + "issue:5458", + "issue:6087", + "issue:6238", + "issue:6366", + "issue:6533", + "issue:6727", + "issue:7009", + "issue:7460", + "issue:7798", + "issue:7936", + "issue:7968", + "issue:8503", + "issue:8723", + "issue:8832", + "issue:8960", + "issue:945", + "issue:9488", + "issue:9670", + "issue:9686" + ], + "soft_pairs": [ + "issue:2439|issue:6238", + "issue:4504|issue:7936", + "issue:8723|issue:8960", + 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The soft-edge pairs mostly share only broad subsystem terms (for example, SD/Flux/LoRA/loading), but not the same concrete bug or fix path, so they should remain separate.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2439", + "right": "issue:6238", + "accept": false, + "reason": "Both concern image pipelines, but one is inpainting loading/running and the other is SDXL VAE behavior; different failure modes and code paths." + }, + { + "left": "issue:4504", + "right": "issue:7936", + "accept": false, + "reason": "Both mention local safetensor loading, but one is a loader state_dict bug and the other is invalid JSON parsing; not the same underlying defect." + }, + { + "left": "issue:8723", + "right": "issue:8960", + "accept": false, + "reason": "SD3 ControlNet init failure and training gradient accumulation malfunction are unrelated bugs in different parts of the stack." + }, + { + "left": "issue:1013", + "right": "issue:3887", + "accept": false, + "reason": "Both are Stable Diffusion pipeline complaints, but one is a version-compatibility break and the other is output quality drift; not one fix." + }, + { + "left": "issue:10198", + "right": "issue:10675", + "accept": false, + "reason": "Flux weight mismatch and Flux scheduler max_shift configuration are different issues with different root causes." + }, + { + "left": "issue:10591", + "right": "issue:9686", + "accept": false, + "reason": "Both are SD3-related, but one is a LoRA training script issue and the other is a ControlNet pooled_projections bug." + }, + { + "left": "issue:10962", + "right": "issue:8832", + "accept": false, + "reason": "Prompt-embed shape handling and a generic pipe(prompt) crash do not appear to be the same concrete bug." + }, + { + "left": "issue:13232", + "right": "issue:13301", + "accept": false, + "reason": "These are separate feature requests for different pipelines (LTX-2.3 vs PixArtAlpha)." + }, + { + "left": "issue:2015", + "right": "issue:6533", + "accept": false, + "reason": "Categorical diffusion pipeline and Marigold depth estimation are unrelated pipeline requests." + }, + { + "left": "issue:3026", + "right": "issue:3803", + "accept": false, + "reason": "Single-GPU instruct-pix2pix launch error and multi-GPU LoRA synchronization are different training issues." + }, + { + "left": "issue:3418", + "right": "issue:4366", + "accept": false, + "reason": "One asks to add text-encoder support in a LoRA script; the other is SDXL full U-Net fine-tuning. Same area, different change." + }, + { + "left": "issue:4337", + "right": "issue:6727", + "accept": false, + "reason": "torch.compile failure in ControlNetReference and Q/K/V dtype mismatch are distinct runtime errors." + }, + { + "left": "issue:5458", + "right": "issue:9670", + "accept": false, + "reason": "local_files_only behavior in LoRA loading and a missing PEFT backend requirement are not the same bug." + }, + { + "left": "issue:1083", + "right": "issue:945", + "accept": false, + "reason": "FP16 ONNX incorrect output and custom checkpoint-to-ONNX conversion support are different conversion problems." + }, + { + "left": "issue:11644", + "right": "issue:8503", + "accept": false, + "reason": "LTXConditionPipeline init-from-pretrained error and SD3 gradient checkpointing crash are unrelated failures." + }, + { + "left": "issue:2035", + "right": "issue:4014", + "accept": false, + "reason": "Tiled upscaling artifacts and SDXL watermark pixel artifacts affect different pipelines and different mechanisms." + }, + { + "left": "issue:12126", + "right": "issue:13477", + "accept": false, + "reason": "wan2.2 cache_context attribute error and ErnieImage locals() scope bug are separate code-path bugs." + }, + { + "left": "issue:5124", + "right": "issue:945", + "accept": false, + "reason": "Fine-tuning a checkpoint .safetensor and adding a custom checkpoint model for ONNX conversion are different requests." + }, + { + "left": "issue:1574", + "right": "issue:1708", + "accept": false, + "reason": "Dreambooth training on bare metal with 8GB GPU and passing a YAML config for inference are unrelated." + }, + { + "left": "issue:7009", + "right": "issue:9488", + "accept": false, + "reason": "Poor text-to-video results for a specific model and Lumina generating no image are different inference-quality issues." + }, + { + "left": "issue:10743", + "right": "issue:11661", + "accept": false, + "reason": "Zero-3 support for FLUX training and handling args.max_train_steps when None are unrelated training-script concerns." + }, + { + "left": "issue:5246", + "right": "issue:7968", + "accept": false, + "reason": "Missing CLIPImageProjection attribute and attention in UNetMotionModel are different model/component bugs." + }, + { + "left": "issue:6087", + "right": "issue:6366", + "accept": false, + "reason": "Incorrectly saved LoRAConfig/lora_alpha and broken checkpoint loading in dreambooth LoRA scripts are not the same defect." + }, + { + "left": "issue:7460", + "right": "issue:7798", + "accept": false, + "reason": "AdaLayerNorm bug and PixArtAlphaPipeline bug are too vague and appear to be separate component issues without shared evidence." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 314, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10039", + "issue:10145", + "issue:10573", + "issue:10994", + "issue:11343", + "issue:11374", + "issue:11396", + "issue:11464", + "issue:11821", + "issue:12096", + "issue:12221", + "issue:13301", + "issue:1466", + "issue:2402", + "issue:2552", + "issue:2663", + "issue:2844", + "issue:3124", + "issue:3162", + "issue:3238", + "issue:3300", + "issue:3803", + "issue:4107", + "issue:4206", + "issue:4303", + "issue:4453", + "issue:4615", + "issue:4677", + "issue:5327", + "issue:5544", + "issue:5934", + "issue:6323", + "issue:6481", + "issue:6821", + "issue:7341", + "issue:7368", + "issue:7418", + "issue:7736", + "issue:8472", + "issue:8509", + "issue:8588", + "issue:8609", + "issue:9147", + "issue:9306", + "issue:9476", + "issue:9551", + "issue:9645", + "issue:9660" + ], + "soft_pairs": [ + "issue:3300|issue:4615", + 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"left": "issue:3300", + "right": "issue:4615", + "accept": false, + "reason": "Generic broken-install/import complaint versus a specific missing import for ControlNetPipeline; too different in scope and failure mode." + }, + { + "left": "issue:5544", + "right": "issue:9147", + "accept": false, + "reason": "FreeU disable error in SDXL is unrelated to Flux autopipeline device selection." + }, + { + "left": "issue:5327", + "right": "issue:5544", + "accept": false, + "reason": "Textual inversion loading in SDXL and FreeU toggling are different code paths and bugs." + }, + { + "left": "issue:5934", + "right": "issue:9306", + "accept": false, + "reason": "torch.compile failure and CogVideoX wrong-device selection are distinct problems." + }, + { + "left": "issue:10039", + "right": "issue:8588", + "accept": false, + "reason": "UNet argument forwarding bug versus missing SD3 conversion script; not the same underlying issue." + }, + { + "left": "issue:10145", + "right": "issue:11396", + "accept": false, + "reason": "Flux DreamBooth OOM and LoRA format conversion question are unrelated." + }, + { + "left": "issue:12221", + "right": "issue:13301", + "accept": false, + "reason": "Different feature requests for different pipelines/models; no shared bug." + }, + { + "left": "issue:1466", + "right": "issue:2402", + "accept": false, + "reason": "Platform compatibility for DreamBooth examples is unrelated to CUDA-not-built runtime errors." + }, + { + "left": "issue:2844", + "right": "issue:4677", + "accept": false, + "reason": "StableUnCLIP image-embedding runtime error versus an inpainting doc script error; not the same defect." + }, + { + "left": "issue:4107", + "right": "issue:6481", + "accept": false, + "reason": "SDXL LoRA quality regression and DreamBooth batch-size failure are different issues." + }, + { + "left": "issue:4453", + "right": "issue:7368", + "accept": false, + "reason": "LoRA conversion for A1111 versus a GLIGEN training feature request; not duplicates." + }, + { + "left": "issue:6323", + "right": "issue:8609", + "accept": false, + "reason": "TensorRT attribute-setting bug and custom IP-Adapter pipeline incompatibility are unrelated." + }, + { + "left": "issue:8509", + "right": "issue:9551", + "accept": false, + "reason": "Feature request for controlnet++ and question about using specific Flux ControlNet models are not the same change or bug." + }, + { + "left": "issue:2552", + "right": "issue:3803", + "accept": false, + "reason": "Tutorial question for inpainting versus multi-GPU LoRA sharing bug; different topics and code paths." + }, + { + "left": "issue:3124", + "right": "issue:3238", + "accept": false, + "reason": "General model conversion failure versus LoRA safetensor conversion to diffusers format; not the same problem." + }, + { + "left": "issue:4206", + "right": "issue:7418", + "accept": false, + "reason": "ControlNet SDXL training breakage and a community upscale pipeline bug are separate." + }, + { + "left": "issue:10994", + "right": "issue:9476", + "accept": false, + "reason": "Both involve train_dreambooth_lora_flux, but one is a batch-size crash and the other is a validation dtype mismatch; different concrete failure modes." + }, + { + "left": "issue:11821", + "right": "issue:12096", + "accept": false, + "reason": "Unsupported prompt lists in WanVACEPipeline versus apply_group_offloading incompatibility are unrelated." + }, + { + "left": "issue:10573", + "right": "issue:11464", + "accept": false, + "reason": "Multiple-controlnet padding_mask_crop limitation and loading a specific Flux LoRA into FluxControlPipeline are different bugs." + }, + { + "left": "issue:11343", + "right": "issue:9645", + "accept": false, + "reason": "Both are import-related, but one is a broad transformers-version breakage and the other is a specific loader import missing; not the same exact issue." + }, + { + "left": "issue:11374", + "right": "issue:7736", + "accept": false, + "reason": "SkyReels-V2 support request and supported callbacks feature request are separate enhancement tracks." + }, + { + "left": "issue:3162", + "right": "issue:7341", + "accept": false, + "reason": "Missing learned classifier-free sampling embeddings and TorchVersion/Version comparison TypeError are unrelated." + }, + { + "left": "issue:6481", + "right": "issue:6821", + "accept": false, + "reason": "DreamBooth batch-size bug and caption-column validation error do not share the same root cause." + }, + { + "left": "issue:8472", + "right": "issue:9660", + "accept": false, + "reason": "Question about simultaneous LoRA pretraining with other modules is unrelated to from_pretrained not setting eval mode." + }, + { + "left": "issue:2663", + "right": "issue:4303", + "accept": false, + "reason": "Safety checker safetensors loading failure and Flax SDXL load crash are different model-loading issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 315, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10191", + "issue:10427", + "issue:10472", + "issue:11547", + "issue:1156", + "issue:11938", + "issue:12459", + "issue:13277", + "issue:1375", + "issue:1572", + "issue:1655", + "issue:1672", + "issue:1730", + "issue:2100", + "issue:2414", + "issue:2780", + "issue:3086", + "issue:3140", + "issue:3149", + "issue:3441", + "issue:3674", + "issue:4213", + "issue:4701", + "issue:4841", + "issue:5380", + "issue:5616", + "issue:5963", + "issue:5969", + "issue:6160", + "issue:6323", + "issue:6363", + "issue:6452", + "issue:6552", + "issue:6610", + "issue:684", + "issue:7300", + "issue:7390", + "issue:7440", + "issue:785", + "issue:8673", + "issue:9007", + "issue:9186", + "issue:9239", + "issue:9479", + "issue:9619", + "issue:9637", + "issue:9729", + "issue:9971" + ], + "soft_pairs": [ + "issue:12459|issue:13277", + "issue:3149|issue:785", + "issue:1156|issue:1730", + "issue:6610|issue:7390", + "issue:10472|issue:9729", + "issue:3441|issue:7300", + "issue:6363|issue:6552", + "issue:4213|issue:5616", + "issue:4701|issue:6160", + "issue:10191|issue:6323", + "issue:10427|issue:9619", + "issue:11547|issue:9186", + "issue:11938|issue:9971", + "issue:1375|issue:2100", + "issue:1572|issue:5380", + "issue:1655|issue:684", + "issue:1672|issue:5969", + "issue:2414|issue:3140", + "issue:2780|issue:3674", + "issue:3086|issue:6452", + "issue:4841|issue:9239", + "issue:5963|issue:9007", + "issue:7440|issue:8673", + "issue:9479|issue:9637" + ], + "prepared_review_unit_hash": "765b11feb9ab835de6b7bd16ca6610473b21ef1760a80256ee61a94f268d9711", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34014, + "estimated_input_tokens": 8504, + "estimated_eval_tokens": 17264 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a collection of unrelated issue reports across different pipelines, schedulers, and error modes. The only strong duplicate-like link is the FP16 LoRA training failure tracker pair (6363/6552).", + "confidence": 0.84, + "canonical_issue_reason": "Issue 6552 is the best canonical issue because it is the broader tracker for the specific FP16 unscale failure reported concretely in 6363.", + "canonical_pr_reason": null, + "best_issue_reason": "6552 is the most representative issue in the set: it generalizes the FP16 training-resume bug, while the rest are mostly unrelated single reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12459", + "right": "issue:13277", + "accept": false, + "reason": "Different problems: throughput regression vs a batch-input failure." + }, + { + "left": "issue:3149", + "right": "issue:785", + "accept": false, + "reason": "Different scheduler/performance bug vs nondeterminism regression." + }, + { + "left": "issue:1156", + "right": "issue:1730", + "accept": false, + "reason": "Different training issue vs model conversion/webui incompatibility." + }, + { + "left": "issue:6610", + "right": "issue:7390", + "accept": false, + "reason": "Both are from_single_file complaints, but they describe different pipelines and failure modes." + }, + { + "left": "issue:10472", + "right": "issue:9729", + "accept": false, + "reason": "Unrelated training inference kwarg error vs save-model type error." + }, + { + "left": "issue:3441", + "right": "issue:7300", + "accept": false, + "reason": "Both mention memory, but the code paths and symptoms are different." + }, + { + "left": "issue:6363", + "right": "issue:6552", + "accept": true, + "reason": "Same underlying FP16 training bug; 6552 is the tracker and 6363 is the concrete example failure." + }, + { + "left": "issue:4213", + "right": "issue:5616", + "accept": false, + "reason": "Both involve SDXL loading, but the reported errors and likely causes differ." + }, + { + "left": "issue:4701", + "right": "issue:6160", + "accept": false, + "reason": "Different components and different errors; no shared root bug." + }, + { + "left": "issue:10191", + "right": "issue:6323", + "accept": false, + "reason": "GPU selection bug is unrelated to a TensorRT attribute error." + }, + { + "left": "issue:10427", + "right": "issue:9619", + "accept": false, + "reason": "GGUF loading request vs ControlNet interrupt support are unrelated changes." + }, + { + "left": "issue:11547", + "right": "issue:9186", + "accept": false, + "reason": "Both are ControlNet-related, but they are distinct feature requests and not the same bug." + }, + { + "left": "issue:11938", + "right": "issue:9971", + "accept": false, + "reason": "RMSNorm initialization bug and FLUX scheduler bug are unrelated." + }, + { + "left": "issue:1375", + "right": "issue:2100", + "accept": false, + "reason": "Both are import problems, but the affected imports and regression details are not the same." + }, + { + "left": "issue:1572", + "right": "issue:5380", + "accept": false, + "reason": "Different pipelines and different functionality; no shared bug." + }, + { + "left": "issue:1655", + "right": "issue:684", + "accept": false, + "reason": "Initialization failure and AMD memory optimization issues are unrelated." + }, + { + "left": "issue:1672", + "right": "issue:5969", + "accept": false, + "reason": "Image-size conversion bug vs scheduler NaNs; different underlying problems." + }, + { + "left": "issue:2414", + "right": "issue:3140", + "accept": false, + "reason": "Separate import errors involving different missing names/modules." + }, + { + "left": "issue:2780", + "right": "issue:3674", + "accept": false, + "reason": "LoRA FP16 gradient issue and JSONL metadata parsing issue are unrelated." + }, + { + "left": "issue:3086", + "right": "issue:6452", + "accept": false, + "reason": "Different feature areas: audio-to-image vs ControlNet inpaint input support." + }, + { + "left": "issue:4841", + "right": "issue:9239", + "accept": false, + "reason": "Both are ControlNet-related, but one is an image-size issue and the other is black output." + }, + { + "left": "issue:5963", + "right": "issue:9007", + "accept": false, + "reason": "Kandinsky embed-input failure is unrelated to the DPMSolver black-output bug." + }, + { + "left": "issue:7440", + "right": "issue:8673", + "accept": false, + "reason": "Unrelated dataset availability vs attention-mask implementation issue." + }, + { + "left": "issue:9479", + "right": "issue:9637", + "accept": false, + "reason": "Inpaint mask bleeding and XFormers attention-mask BF16 failure are different bugs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and stays conservative. The only clearly supported duplicate-like linkage is 6363 \u2194 6552, and the remaining soft-edge verdicts are phrased cautiously based on title-level evidence without overstating shared root causes." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 316, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:10120", + "issue:10752", + "issue:10798", + "issue:11302", + "issue:11315", + "issue:12011", + "issue:12034", + "issue:12110", + "issue:1251", + "issue:12529", + "issue:13107", + "issue:1407", + "issue:1546", + "issue:1556", + "issue:1792", + "issue:2299", + "issue:235", + "issue:2907", + "issue:3338", + "issue:3428", + "issue:3853", + "issue:3908", + "issue:3954", + "issue:4630", + "issue:4911", + "issue:4972", + "issue:525", + "issue:5365", + "issue:5520", + "issue:6028", + "issue:6087", + "issue:6132", + "issue:6362", + "issue:6593", + "issue:6964", + "issue:7080", + "issue:7180", + "issue:7220", + "issue:725", + "issue:7485", + "issue:8182", + "issue:8495", + "issue:8752", + "issue:8930", + "issue:9147", + "issue:9448", + "issue:9732" + ], + "soft_pairs": [ + "issue:4972|issue:7180", + "issue:11302|issue:11315", + "issue:6964|issue:7220", + "issue:6593|issue:8752", + "issue:12011|issue:9732", + "issue:5365|issue:6028", + "issue:8182|issue:8495", + "issue:10120|issue:6362", + "issue:1407|issue:1792", + "issue:2299|issue:3338", + "issue:12034|issue:12529", + "issue:1251|issue:2907", + "issue:10798|issue:13107", + "issue:7485|issue:9448", + "issue:10752|issue:12110", + "issue:3428|issue:3908", + "issue:10100|issue:6132", + "issue:1546|issue:1556", + "issue:235|issue:525", + "issue:3853|issue:5520", + "issue:4630|issue:725", + "issue:4911|issue:9147", + "issue:7080|issue:8930", + "issue:3954|issue:6087" + ], + "prepared_review_unit_hash": "53020b37f6b6493bdb81fb35a559ac44c38538e723f79a12e151fba1aa4ba576", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33860, + "estimated_input_tokens": 8465, + "estimated_eval_tokens": 17186 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most suggested pairs are only superficially related and do not look like the same underlying bug/change. The only clear duplicate-like pair is the HeaderTooLarge loading error pair; everything else should stay separate.", + "confidence": 0.84, + "canonical_issue_reason": "issue:5520 is the broadest, most general label for the shared safetensors deserialization failure and best represents the duplicate pair.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5520 is the best global issue candidate because its title matches the underlying error directly and covers the broader symptom more cleanly than the LoRA-specific report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4972", + "right": "issue:7180", + "accept": false, + "reason": "Different pipelines and failure modes: wuerstchen example startup vs SDXL ControlNet CPU-offload behavior." + }, + { + "left": "issue:11302", + "right": "issue:11315", + "accept": false, + "reason": "One is about saving a quantized HiDream model; the other is an MPS float64 rope initialization bug." + }, + { + "left": "issue:6964", + "right": "issue:7220", + "accept": false, + "reason": "Same pipeline family, but different concrete bugs: 4-channel UNet support vs unload_ip_adapter error." + }, + { + "left": "issue:6593", + "right": "issue:8752", + "accept": false, + "reason": "Different code paths: adding load_lora_weights to SDXL Img2Img vs offline from_single_file loading." + }, + { + "left": "issue:12011", + "right": "issue:9732", + "accept": false, + "reason": "Both mention OOM, but they concern different models and training/inference setups." + }, + { + "left": "issue:5365", + "right": "issue:6028", + "accept": false, + "reason": "Txt2video num_inference_steps handling is unrelated to Kandinsky 3.0 CUDA OOM." + }, + { + "left": "issue:8182", + "right": "issue:8495", + "accept": false, + "reason": "A logger typo error is unrelated to a tokenizer enum deserialization failure." + }, + { + "left": "issue:10120", + "right": "issue:6362", + "accept": false, + "reason": "Both are memory-related, but one is DreamBooth+SD3 memory consumption and the other is dataset-mapping OOM during SDXL fine-tuning." + }, + { + "left": "issue:1407", + "right": "issue:1792", + "accept": false, + "reason": "Both involve feature_extractor/safety_checker handling, but the titles point to different pipeline contexts and not clearly the same bug." + }, + { + "left": "issue:2299", + "right": "issue:3338", + "accept": false, + "reason": "Fine-tuned checkpoint support and import-time slowdown are separate issues." + }, + { + "left": "issue:12034", + "right": "issue:12529", + "accept": false, + "reason": "Different Wan 2.2 problems: poor output quality vs a tiled VAE tensor size mismatch." + }, + { + "left": "issue:1251", + "right": "issue:2907", + "accept": false, + "reason": "MPS black-image behavior and repeated CPU-offload failure are different device-management bugs." + }, + { + "left": "issue:10798", + "right": "issue:13107", + "accept": false, + "reason": "Bitsandbytes device-combination quantization bug and Flux Klein LoRA missing-key errors are unrelated." + }, + { + "left": "issue:7485", + "right": "issue:9448", + "accept": false, + "reason": "Setting safety_checker to None causing a TypeError is not the same as the IP-Adapter tuple.shape crash." + }, + { + "left": "issue:10752", + "right": "issue:12110", + "accept": false, + "reason": "FP16 gradient unscaling and UNet1D GaussianFourier initialization are different code paths." + }, + { + "left": "issue:3428", + "right": "issue:3908", + "accept": false, + "reason": "StableDiffusionImg2ImgPipeline behavior changes and Streamlit model caching are unrelated." + }, + { + "left": "issue:10100", + "right": "issue:6132", + "accept": false, + "reason": "ConsisID support and adding LOADABLE_CLASSES are different feature requests." + }, + { + "left": "issue:1546", + "right": "issue:1556", + "accept": false, + "reason": "Batched truncation-warning handling and black images with NSFW warning are distinct issues." + }, + { + "left": "issue:235", + "right": "issue:525", + "accept": false, + "reason": "CUDA migration trouble and local-disk image loading in a notebook are unrelated." + }, + { + "left": "issue:3853", + "right": "issue:5520", + "accept": true, + "reason": "Both describe the same HeaderTooLarge safetensors deserialization failure, with one specific to LoRA weights." + }, + { + "left": "issue:4630", + "right": "issue:725", + "accept": false, + "reason": "Post-load LoRA weight editing and device-map/accelerate loading memory reduction are not the same bug." + }, + { + "left": "issue:4911", + "right": "issue:9147", + "accept": false, + "reason": "Custom text_encoder loading from_single_file and Flux autopipeline errors are different failures." + }, + { + "left": "issue:7080", + "right": "issue:8930", + "accept": false, + "reason": "SDXL control-net training output mismatch in wandb and pose-control noncompliance are separate issues." + }, + { + "left": "issue:3954", + "right": "issue:6087", + "accept": false, + "reason": "Multi-GPU scheduler step counting and LoraConfig/lora_alpha persistence are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded in the packet. The only accepted pair, issue:3853 and issue:5520, is a conservative duplicate assessment: both center on the same HeaderTooLarge safetensors deserialization failure, with 3853 being the LoRA-specific instance. The remaining pairs are reasonably rejected based on distinct titles/contexts, and no mergeability issues apply since these are issue pairs, not PR pairs." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 317, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10526", + "issue:1062", + "issue:1068", + "issue:1082", + "issue:11117", + "issue:11570", + "issue:1866", + "issue:1925", + "issue:2035", + "issue:2132", + "issue:2332", + "issue:2410", + "issue:2577", + "issue:2728", + "issue:2803", + "issue:3103", + "issue:3451", + "issue:3646", + "issue:4069", + "issue:4530", + "issue:4638", + "issue:4686", + "issue:4733", + "issue:4747", + "issue:4885", + "issue:4907", + "issue:5226", + "issue:5315", + "issue:5335", + "issue:5572", + "issue:5963", + "issue:6232", + "issue:6234", + "issue:6536", + "issue:6657", + "issue:6790", + "issue:6807", + "issue:6906", + "issue:7415", + "issue:7506", + "issue:7694", + "issue:7708", + "issue:8708", + "issue:8831", + "issue:9063", + "issue:9293", + "issue:967", + "issue:9953" + ], + "soft_pairs": [ + "issue:4686|issue:5335", + "issue:4885|issue:8831", + "issue:10526|issue:9293", + "issue:1925|issue:2577", + "issue:7708|issue:9063", + "issue:6232|issue:7506", + "issue:1068|issue:1082", + "issue:3646|issue:4747", + "issue:2035|issue:4530", + "issue:2410|issue:5572", + "issue:3103|issue:4907", + "issue:4069|issue:7694", + "issue:5963|issue:6807", + "issue:6234|issue:8708", + "issue:6536|issue:6657", + "issue:1866|issue:967", + "issue:4638|issue:5226", + "issue:1062|issue:2332", + "issue:2132|issue:4733", + "issue:5315|issue:6232", + "issue:6790|issue:6906", + "issue:11117|issue:7415", + "issue:2410|issue:3451", + "issue:11570|issue:9953", + "issue:2728|issue:2803" + ], + "prepared_review_unit_hash": "55234d90110271caf2b5113ad8926f1fe8b2c2233a5d3d50e77b4edabd79067f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34462, + "estimated_input_tokens": 8616, + "estimated_eval_tokens": 17488 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No strong duplicate pairs here: the candidates mostly share broad subsystems or overlapping error themes, but they describe different concrete failures. I would use issue #9953 as the best canonical issue for the quantized-component/device-transfer class of bugs.", + "confidence": 0.92, + "canonical_issue_reason": "#9953 is the clearest, most generally phrased issue in the set for a concrete quantized-component failure path (moving a pipeline with a quantized component to CUDA).", + "canonical_pr_reason": null, + "best_issue_reason": "#9953 is the best representative issue to anchor related quantization/device-placement reports because it names the symptom and affected operation directly.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4686", + "right": "issue:5335", + "accept": false, + "reason": "Different problems: loading a saved pipeline from disk vs local deployment/access restrictions." + }, + { + "left": "issue:4885", + "right": "issue:8831", + "accept": false, + "reason": "One is a specific SDXL ControlNet LoRA-loading failure; the other is a broader LoRA unsupported-layers discussion, not the same bug." + }, + { + "left": "issue:10526", + "right": "issue:9293", + "accept": false, + "reason": "Both are quantization/storage-related TypeErrors, but they involve different failing code paths, libraries, and error signatures." + }, + { + "left": "issue:1925", + "right": "issue:2577", + "accept": false, + "reason": "Half-precision inpainting and DDIMInverseScheduler behavior are unrelated concrete issues." + }, + { + "left": "issue:7708", + "right": "issue:9063", + "accept": false, + "reason": "Missing tokenizer config in SDXL checkpoint vs Flux tokenizer instantiation from slow version are distinct load-time failures." + }, + { + "left": "issue:6232", + "right": "issue:7506", + "accept": false, + "reason": "Scheduler add_noise malfunction is unrelated to the meta-tensor / CLIPTextModel initialization error." + }, + { + "left": "issue:1068", + "right": "issue:1082", + "accept": false, + "reason": "Generic elastic multiprocessing failure vs a specific CUDA cublasLtMatmul execution failure; not the same underlying bug." + }, + { + "left": "issue:3646", + "right": "issue:4747", + "accept": false, + "reason": "ControlNet.from_unet missing attribute and missing model_index.json after LoRA export are different pipeline issues." + }, + { + "left": "issue:2035", + "right": "issue:4530", + "accept": false, + "reason": "Both mention artifacts, but they affect different upscaling/refiner paths and do not point to one shared defect." + }, + { + "left": "issue:2410", + "right": "issue:5572", + "accept": false, + "reason": "A missing flax/pytorch model artifact is unrelated to a FrozenDict missing scaling_factor error." + }, + { + "left": "issue:3103", + "right": "issue:4907", + "accept": false, + "reason": "Inpainting size handling and SDXL inpainting warning are not the same code-path failure." + }, + { + "left": "issue:4069", + "right": "issue:7694", + "accept": false, + "reason": "Textual inversion unloading and ControlNetXS checkpoint key updates are unrelated maintenance/reporting topics." + }, + { + "left": "issue:5963", + "right": "issue:6807", + "accept": false, + "reason": "Kandinsky embeds/prompt handling and MPS test collection failure are unrelated." + }, + { + "left": "issue:6234", + "right": "issue:8708", + "accept": false, + "reason": "Training script issue for SDXL and missing SD3 VAE shift_factor are separate example regressions." + }, + { + "left": "issue:6536", + "right": "issue:6657", + "accept": false, + "reason": "OOM in 3D UNet fine-tuning and swapped frames/channels in UNet3DConditionModel are different defects." + }, + { + "left": "issue:1866", + "right": "issue:967", + "accept": false, + "reason": "Different scheduler/pipeline incompatibilities with different failure modes and surfaces." + }, + { + "left": "issue:4638", + "right": "issue:5226", + "accept": false, + "reason": "Textual inversion on SDXL and LoRA loading in an SDXL adapter pipeline are distinct features and failures." + }, + { + "left": "issue:1062", + "right": "issue:2332", + "accept": false, + "reason": "Dreambooth reproducibility concern vs a separate inference-after-training error." + }, + { + "left": "issue:2132", + "right": "issue:4733", + "accept": false, + "reason": "Accelerator.trackers attribute error in one script vs checkpoint resume optimizer inf-check failure in another; not the same bug." + }, + { + "left": "issue:5315", + "right": "issue:6232", + "accept": false, + "reason": "Both scheduler-related, but they involve different scheduler methods and error conditions." + }, + { + "left": "issue:6790", + "right": "issue:6906", + "accept": false, + "reason": "Unexpected state_dict key in LCM training is not the same as the LoRA dreambooth example breakage." + }, + { + "left": "issue:11117", + "right": "issue:7415", + "accept": false, + "reason": "Mixed Half/BFloat16 runtime error on SD3 is different from AutoencoderKL bfloat16 behavior on TPU." + }, + { + "left": "issue:2410", + "right": "issue:3451", + "accept": false, + "reason": "Model file absence in Flax training is unrelated to fp16 memory usage regression." + }, + { + "left": "issue:11570", + "right": "issue:9953", + "accept": false, + "reason": "Both involve quantized components, but one is a .to() cast failure during LoRA loading while the other is moving a quantized pipeline to CUDA; related theme, different concrete bug." + }, + { + "left": "issue:2728", + "right": "issue:2803", + "accept": false, + "reason": "A safetensors loading error and a WSL2 docs build issue are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 318, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10003", + "issue:10010", + "issue:10194", + "issue:10392", + "issue:10450", + "issue:10782", + "issue:11093", + "issue:11830", + "issue:12034", + "issue:12082", + "issue:12175", + "issue:12783", + "issue:1298", + "issue:13137", + "issue:1478", + "issue:1790", + "issue:2276", + "issue:2614", + "issue:2776", + "issue:2783", + "issue:3073", + "issue:3086", + "issue:3087", + "issue:3149", + "issue:3171", + "issue:3570", + "issue:3631", + "issue:4337", + "issue:4554", + "issue:4709", + "issue:4782", + "issue:5605", + "issue:5931", + "issue:6727", + "issue:7378", + "issue:761", + "issue:7895", + "issue:8440", + "issue:8469", + "issue:8578", + "issue:9223", + "issue:9393", + "issue:9670", + "issue:9756", + "issue:9763", + "issue:9858", + "issue:9926" + ], + "soft_pairs": [ + "issue:10003|issue:8578", + "issue:10010|issue:9756", + "issue:10450|issue:7895", + "issue:10782|issue:13137", + "issue:1298|issue:1478", + "issue:1790|issue:761", + "issue:2783|issue:3171", + "issue:3086|issue:5605", + "issue:3149|issue:5931", + "issue:6727|issue:8440", + "issue:12082|issue:9763", + "issue:2276|issue:4709", + "issue:11830|issue:12783", + "issue:9393|issue:9858", + "issue:10194|issue:9926", + "issue:10392|issue:9670", + "issue:11093|issue:8469", + "issue:12034|issue:12175", + "issue:2614|issue:3570", + "issue:2776|issue:9223", + "issue:3073|issue:3087", + "issue:3631|issue:4782", + "issue:3631|issue:7378", + "issue:4337|issue:4554" + ], + "prepared_review_unit_hash": "28d97dd12cce7c8314976617dc3bb026a59de7be8a3a1258605595ad866a852a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32948, + "estimated_input_tokens": 8237, + "estimated_eval_tokens": 16730 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab-bag of unrelated model/pipeline bugs and feature requests. The only clear duplicate-looking pair is the StableDiffusion nondeterminism reports (3149/5931).", + "confidence": 0.89, + "canonical_issue_reason": "issue:3149 is the earlier, more specific report of the same StableDiffusion nondeterminism symptom, so it is the best canonical target for that duplicate pair.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3149 is the strongest representative issue in the set: it has a clear, concrete symptom and a version-specific repro context that the broader 5931 report appears to duplicate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10003", + "right": "issue:8578", + "accept": false, + "reason": "Different failures in different code paths: scheduler bug vs meta-tensor load error." + }, + { + "left": "issue:10010", + "right": "issue:9756", + "accept": false, + "reason": "Both mention something missing, but one is a missing model URL and the other a missing notebook file; not the same bug." + }, + { + "left": "issue:10450", + "right": "issue:7895", + "accept": false, + "reason": "Unrelated topics: Flux block implementation mismatch vs Flax attention backend breakage." + }, + { + "left": "issue:10782", + "right": "issue:13137", + "accept": false, + "reason": "Different models and failures; one is a minor Lumina issue, the other is a Flux LoRA load error." + }, + { + "left": "issue:1298", + "right": "issue:1478", + "accept": false, + "reason": "Both are StableDiffusion pipeline bugs, but they concern different pipelines and different symptoms." + }, + { + "left": "issue:1790", + "right": "issue:761", + "accept": false, + "reason": "A general training question is not a duplicate of an optimizer-specific DreamBooth failure." + }, + { + "left": "issue:2783", + "right": "issue:3171", + "accept": false, + "reason": "Both are controlnet feature requests, but they ask for different capabilities and are not the same change." + }, + { + "left": "issue:3086", + "right": "issue:5605", + "accept": false, + "reason": "Different tasks entirely: audio-to-image vs per-image caption support for DreamBooth." + }, + { + "left": "issue:3149", + "right": "issue:5931", + "accept": true, + "reason": "Same underlying bug: StableDiffusion generation is reported as non-deterministic in both issues; one is just version-specific." + }, + { + "left": "issue:6727", + "right": "issue:8440", + "accept": false, + "reason": "Both are ValueErrors, but the error contexts and likely code paths are unrelated." + }, + { + "left": "issue:12082", + "right": "issue:9763", + "accept": false, + "reason": "Different subsystems and symptoms: VAE memory regression after compile vs token truncation in Flux ControlNet training." + }, + { + "left": "issue:2276", + "right": "issue:4709", + "accept": false, + "reason": "Unrelated: xformers install problem vs ControlNet guess mode support." + }, + { + "left": "issue:11830", + "right": "issue:12783", + "accept": false, + "reason": "Both describe corrupted outputs, but they involve different models, hardware, and failure mechanisms." + }, + { + "left": "issue:9393", + "right": "issue:9858", + "accept": false, + "reason": "A model-saving failure in Flux DreamBooth LoRA is not the same as a KeyError in training configuration." + }, + { + "left": "issue:10194", + "right": "issue:9926", + "accept": false, + "reason": "Both are feature requests, but for different features and different code paths." + }, + { + "left": "issue:10392", + "right": "issue:9670", + "accept": false, + "reason": "Different issues: a specific Flux/LoRA quality problem vs a PEFT backend requirement error." + }, + { + "left": "issue:11093", + "right": "issue:8469", + "accept": false, + "reason": "Example breakage and face corruption are unrelated bugs." + }, + { + "left": "issue:12034", + "right": "issue:12175", + "accept": false, + "reason": "Both concern output quality, but they are for different models and different reports." + }, + { + "left": "issue:2614", + "right": "issue:3570", + "accept": false, + "reason": "Both are about loading behavior, but one is download-directory control and the other is disabling downloads for ckpt loading." + }, + { + "left": "issue:2776", + "right": "issue:9223", + "accept": false, + "reason": "Separate dependency/version problems in different training stacks; not the same bug." + }, + { + "left": "issue:3073", + "right": "issue:3087", + "accept": false, + "reason": "Different feature requests for different model families: Consistency models vs LyCORIS support." + }, + { + "left": "issue:3631", + "right": "issue:4782", + "accept": false, + "reason": "Both are inpainting bugs, but one is an exception when passing latents and the other is mask preservation failure." + }, + { + "left": "issue:3631", + "right": "issue:7378", + "accept": false, + "reason": "Inpainting latent-input exception is unrelated to AnimateDiff memory usage during latent decoding." + }, + { + "left": "issue:4337", + "right": "issue:4554", + "accept": false, + "reason": "Different problems: torch.compile incompatibility vs example OOM." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet, and the only positive duplicate judgment (3149/5931) is conservative and supported by the titles. The negative soft-edge verdicts are also appropriately cautious and do not overstate duplication. No PR-pair issue applies here." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 319, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10277", + "issue:10550", + "issue:10640", + "issue:10658", + "issue:10673", + "issue:11408", + "issue:11581", + "issue:11874", + "issue:12108", + "issue:12470", + "issue:13203", + "issue:181", + "issue:2371", + "issue:2772", + "issue:3019", + "issue:3382", + "issue:3643", + "issue:4057", + "issue:4213", + "issue:4398", + "issue:4649", + "issue:4668", + "issue:4874", + "issue:5109", + "issue:5178", + "issue:5593", + "issue:6125", + "issue:6164", + "issue:6313", + "issue:6476", + "issue:6667", + "issue:6700", + "issue:6742", + "issue:7021", + "issue:7168", + "issue:7178", + "issue:7348", + "issue:7417", + "issue:7661", + "issue:8831", + "issue:8930", + "issue:9298", + "issue:9534", + "issue:9660", + "issue:9665", + "issue:9674", + "issue:9704", + "issue:9933" + ], + "soft_pairs": [ + "issue:4398|issue:8831", + "issue:7168|issue:7661", + "issue:9534|issue:9665", + "issue:3019|issue:6313", + "issue:10673|issue:9704", + "issue:6667|issue:9674", + "issue:2371|issue:4057", + "issue:5593|issue:9660", + "issue:6125|issue:9933", + "issue:10277|issue:12108", + "issue:11874|issue:13203", + "issue:5178|issue:7417", + "issue:2772|issue:4874", + "issue:4668|issue:7348", + "issue:4649|issue:6700", + "issue:11581|issue:9298", + "issue:6476|issue:7178", + "issue:4213|issue:6742", + "issue:5109|issue:8930", + "issue:181|issue:3382", + "issue:3643|issue:6164", + "issue:10550|issue:11408", + "issue:10640|issue:7021", + "issue:10658|issue:12470" + ], + "prepared_review_unit_hash": "0a5aba73c8ce29a654d99e1db6d8e1f73ef086f5b0089d1d38184652cea7c2a2", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34026, + "estimated_input_tokens": 8507, + "estimated_eval_tokens": 17270 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster does not look like a duplicate set: the proposed pairs span unrelated bugs, features, models, and APIs, so no canonical issue/PR emerges.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue is a credible canonical representative because the items cover many different code paths and failure modes rather than one underlying bug.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global best representative; the cluster is too heterogeneous to summarize with one issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4398", + "right": "issue:8831", + "accept": false, + "reason": "Both mention LoRA, but one is about SDXL LoRA dreambooth producing black images and the other about unsupported layers; different symptoms and fixes." + }, + { + "left": "issue:7168", + "right": "issue:7661", + "accept": false, + "reason": "Both involve IP-Adapter, but one is about getting correct image embeddings and the other about AnimateDiff pipeline creation with an IP-adapter UNet; not the same bug." + }, + { + "left": "issue:9534", + "right": "issue:9665", + "accept": false, + "reason": "FluxMultiControlNetModel missing `config` and DeepSpeed affecting `accelerator.prepare()` are unrelated issues in different parts of the stack." + }, + { + "left": "issue:3019", + "right": "issue:6313", + "accept": false, + "reason": "Text-guided image editing with SAM and a Null-Text Inversion pipeline are separate feature requests, not one underlying problem." + }, + { + "left": "issue:10673", + "right": "issue:9704", + "accept": false, + "reason": "A Flux/AuraFlow shape mismatch and a cuDNN execution-plan error have different causes and code paths." + }, + { + "left": "issue:6667", + "right": "issue:9674", + "accept": false, + "reason": "ControlNet-XS inpaint support and SD3 controlnet training quality are distinct model/pipeline problems." + }, + { + "left": "issue:2371", + "right": "issue:4057", + "accept": false, + "reason": "Dreambooth output missing objects and blurred finetuned inpainting output are different quality/failure modes." + }, + { + "left": "issue:5593", + "right": "issue:9660", + "accept": false, + "reason": "`AutoPipeline.from_pipe` with ControlNet and `from_pretrained` not switching modules to eval are separate API behaviors." + }, + { + "left": "issue:6125", + "right": "issue:9933", + "accept": false, + "reason": "Motion model parameter handling and SD3 Img2Img missing width/height are unrelated call-signature/API issues." + }, + { + "left": "issue:10277", + "right": "issue:12108", + "accept": false, + "reason": "Fluxfill Euler scheduler use and Qwen/Chroma flow-matching scheduler failures are different pipelines and different scheduler logic." + }, + { + "left": "issue:11874", + "right": "issue:13203", + "accept": false, + "reason": "LoRA `exclude_modules` behavior and Zimage LoRA support are not the same bug, despite both touching LoRA." + }, + { + "left": "issue:5178", + "right": "issue:7417", + "accept": false, + "reason": "DPM-SDE resolution-change instability and a Mac-only `test_lora_fuse_nan()` failure are unrelated." + }, + { + "left": "issue:2772", + "right": "issue:4874", + "accept": false, + "reason": "A training script rejecting local datasets and an upscale pipeline's local scheduler bug are different scripts and different failure points." + }, + { + "left": "issue:4668", + "right": "issue:7348", + "accept": false, + "reason": "Both mention bad image output, but one is Kohya-style LoRA on SD1.5 and the other is EulerAncestralDiscreteScheduler with ControlNet inpaint; not the same bug." + }, + { + "left": "issue:4649", + "right": "issue:6700", + "accept": false, + "reason": "`added_cond_kwargs` being `None` and attention processors receiving an unexpected `temb` are different TypeErrors in different subsystems." + }, + { + "left": "issue:11581", + "right": "issue:9298", + "accept": false, + "reason": "Loading IP Adapter into FLUX with an unexpected `dtype` argument and missing `Float8_e4m3fnStorage` are unrelated runtime errors." + }, + { + "left": "issue:6476", + "right": "issue:7178", + "accept": false, + "reason": "Both are about `export_to_video`, but one is an OpenCV-upgrade crash and the other is a general incorrect-behavior report; no shared concrete cause is shown." + }, + { + "left": "issue:4213", + "right": "issue:6742", + "accept": false, + "reason": "Missing `accelerate` for `from_single_file()` and checkpointing differences in DownBlockMotion are separate issues." + }, + { + "left": "issue:5109", + "right": "issue:8930", + "accept": false, + "reason": "Both use StableDiffusionXLControlNetImg2Img, but one is a LoRA loading exception and the other is poor control-image adherence; different code paths." + }, + { + "left": "issue:181", + "right": "issue:3382", + "accept": false, + "reason": "Image-writing failure in `train_unconditional.py` and multi-GPU OOM in `train_text_to_image.py` are unrelated training problems." + }, + { + "left": "issue:3643", + "right": "issue:6164", + "accept": false, + "reason": "An INT_MAX overflow during latent decoding and incorrect handling of `output_type='latent'` are distinct output/decoding bugs." + }, + { + "left": "issue:10550", + "right": "issue:11408", + "accept": false, + "reason": "Quantized-base-model LoRA loading and `set_adapters` on compiled models are both adapter-related but not the same concrete failure." + }, + { + "left": "issue:10640", + "right": "issue:7021", + "accept": false, + "reason": "A FluxInpaintPipeline DataParallel error and an HF_HOME import error are unrelated." + }, + { + "left": "issue:10658", + "right": "issue:12470", + "accept": false, + "reason": "Adding `provider_options` to ONNX Runtime session creation and adding quantizer key-update APIs are unrelated enhancements." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 320, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11321", + "issue:1255", + "issue:1290", + "issue:1672", + "issue:1685", + "issue:2201", + "issue:3062", + "issue:307", + "issue:3085", + "issue:3194", + "issue:3251", + "issue:3645", + "issue:3674", + "issue:3824", + "issue:3910", + "issue:4075", + "issue:4222", + "issue:4453", + "issue:4483", + "issue:4578", + "issue:4585", + "issue:4676", + "issue:4705", + "issue:4756", + "issue:4868", + "issue:5209", + "issue:5328", + "issue:5405", + "issue:5578", + "issue:5645", + "issue:5769", + "issue:5786", + "issue:5845", + "issue:6274", + "issue:6681", + "issue:6869", + "issue:6906", + "issue:6967", + "issue:7333", + "issue:7813", + "issue:7955", + "issue:7972", + "issue:8393", + "issue:8671", + "issue:8918", + "issue:8943", + "issue:9046", + "issue:9477" + ], + "soft_pairs": [ + "issue:11321|issue:9046", + "issue:1255|issue:4585", + "issue:1290|issue:307", + "issue:1685|issue:3251", + "issue:3062|issue:4075", + "issue:3085|issue:4483", + "issue:3645|issue:4705", + "issue:3674|issue:4756", + "issue:3824|issue:7813", + "issue:3910|issue:5328", + "issue:4222|issue:5786", + "issue:4453|issue:5209", + "issue:4578|issue:5405", + "issue:4676|issue:8393", + "issue:5578|issue:5769", + "issue:5645|issue:6274", + "issue:5845|issue:6906", + "issue:6681|issue:6869", + "issue:7333|issue:7955", + "issue:8671|issue:8918", + "issue:8943|issue:9477", + "issue:6967|issue:7972", + "issue:1672|issue:2201", + "issue:3194|issue:4868" + ], + "prepared_review_unit_hash": "368c5f6ca222fe8920d3fda7573bb46c7a756515aa0c9e68cf30b3cc677d155f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33706, + "estimated_input_tokens": 8427, + "estimated_eval_tokens": 17110 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated Diffusers issues; the soft edges are broad lexical matches, not true duplicates. I would not merge any of the candidate pairs.", + "confidence": 0.32, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:6906 is the most concrete, actionable bug report here (a broken LoRA DreamBooth example), so it is the best single issue to anchor on among an otherwise mixed set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11321", + "right": "issue:9046", + "accept": false, + "reason": "Both mention Flux, but one is a README/training-doc bug and the other is a VAE latent_channels question; different problems." + }, + { + "left": "issue:1255", + "right": "issue:4585", + "accept": false, + "reason": "Import error for a scheduler vs a ControlNet documentation inconsistency; no shared code-path or fix." + }, + { + "left": "issue:1290", + "right": "issue:307", + "accept": false, + "reason": "Community DreamArtist proposal vs a request to merge stable diffusion pipelines; unrelated topics." + }, + { + "left": "issue:1685", + "right": "issue:3251", + "accept": false, + "reason": "Telemetry opt-out bug and ControlNet shuffle behavior are separate features/issues." + }, + { + "left": "issue:3062", + "right": "issue:4075", + "accept": false, + "reason": "Two unrelated docstring questions in different components; not the same underlying bug." + }, + { + "left": "issue:3085", + "right": "issue:4483", + "accept": false, + "reason": "Cache-folder argument removal vs SDXL generator nondeterminism; different APIs and failures." + }, + { + "left": "issue:3645", + "right": "issue:4705", + "accept": false, + "reason": "Both involve inpainting/controlnet training, but one is a help request and the other is a script modification question, not the same bug." + }, + { + "left": "issue:3674", + "right": "issue:4756", + "accept": false, + "reason": "Metadata JSONL parsing in LoRA training vs DreamBooth style/examples support; unrelated problems." + }, + { + "left": "issue:3824", + "right": "issue:7813", + "accept": false, + "reason": "Inpaint pipeline legacy question vs a TODO about passing timesteps as tensors; no overlap in concrete failure." + }, + { + "left": "issue:3910", + "right": "issue:5328", + "accept": false, + "reason": "Both are LoRA load complaints, but one is about some LoRAs failing and the other about Civitai LoRAs failing after a change; too vague to treat as the same bug." + }, + { + "left": "issue:4222", + "right": "issue:5786", + "accept": false, + "reason": "Low-resolution dataset training vs loading a precomputed cache on another machine; different dataset/cache issues." + }, + { + "left": "issue:4453", + "right": "issue:5209", + "accept": false, + "reason": "LoRA export/conversion to safetensors vs black validation images in SDXL ControlNet/T2I-Adapter training; unrelated." + }, + { + "left": "issue:4578", + "right": "issue:5405", + "accept": false, + "reason": "Doc omission about VAE usage vs from_single_file not overwriting weights; different behavior and fix." + }, + { + "left": "issue:4676", + "right": "issue:8393", + "accept": false, + "reason": "TAESD latent brightness issue vs checkpoint shard loading performance; not the same code-path." + }, + { + "left": "issue:5578", + "right": "issue:5769", + "accept": false, + "reason": "Missing model_index.json error vs mixed-precision correctness question; unrelated." + }, + { + "left": "issue:5645", + "right": "issue:6274", + "accept": false, + "reason": "Broken LCM support and broken multi-adapter T2I-Adapter are different features with different fixes." + }, + { + "left": "issue:5845", + "right": "issue:6906", + "accept": false, + "reason": "Both are DreamBooth-related, but PixArt Alpha training and the LoRA DreamBooth example are different concrete scripts/models." + }, + { + "left": "issue:6681", + "right": "issue:6869", + "accept": false, + "reason": "Generic export_to_video issue vs a specific unpacking ValueError in export_to_video; insufficient evidence they are the same bug." + }, + { + "left": "issue:7333", + "right": "issue:7955", + "accept": false, + "reason": "Image-to-video generation research topic vs ConsistentID portrait generation; unrelated issues." + }, + { + "left": "issue:8671", + "right": "issue:8918", + "accept": false, + "reason": "Redundant code discussion in train_dreambooth_lora_sd3.py vs the SD3 DreamBooth script still being broken; not the same underlying defect." + }, + { + "left": "issue:8943", + "right": "issue:9477", + "accept": false, + "reason": "CUDA library install failure vs a DeepSpeed GatheredParameters callable error; unrelated runtime/setup failures." + }, + { + "left": "issue:6967", + "right": "issue:7972", + "accept": false, + "reason": "SDXL DreamBooth LoRA prior-preservation shape mismatch vs LEDITS++ type mismatch; different models and code paths." + }, + { + "left": "issue:1672", + "right": "issue:2201", + "accept": false, + "reason": "Wrong output image size after conversion vs tokenizer padding differences; unrelated issues." + }, + { + "left": "issue:3194", + "right": "issue:4868", + "accept": false, + "reason": "bitsandbytes package metadata error vs an AttributeError in a super object; no shared underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 321, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10209", + "issue:10636", + "issue:10798", + "issue:11962", + "issue:12613", + "issue:12666", + "issue:13311", + "issue:1614", + "issue:1802", + "issue:255", + "issue:2676", + "issue:2704", + "issue:2904", + "issue:3249", + "issue:3336", + "issue:3570", + "issue:3651", + "issue:3683", + "issue:409", + "issue:4286", + "issue:4450", + "issue:4789", + "issue:487", + "issue:5109", + "issue:5178", + "issue:5523", + "issue:5678", + "issue:5791", + "issue:5849", + "issue:5969", + "issue:6110", + "issue:7000", + "issue:7102", + "issue:7209", + "issue:7354", + "issue:7516", + "issue:7548", + "issue:8477", + "issue:8589", + "issue:9055", + "issue:9161", + "issue:9178", + "issue:9366", + "issue:9415", + "issue:9467", + "issue:9476", + "issue:9856" + ], + "soft_pairs": [ + "issue:3249|issue:7354", + "issue:8477|issue:9415", + "issue:255|issue:409", + "issue:3683|issue:4450", + "issue:7516|issue:9055", + "issue:2904|issue:5523", + "issue:7000|issue:7548", + "issue:3651|issue:5178", + "issue:1614|issue:5969", + "issue:5678|issue:5791", + "issue:5849|issue:9856", + "issue:6110|issue:7209", + "issue:2704|issue:7102", + "issue:4286|issue:5109", + "issue:9161|issue:9476", + "issue:10798|issue:9366", + "issue:12613|issue:13311", + "issue:10209|issue:9467", + "issue:2676|issue:3336", + "issue:3570|issue:4789", + "issue:10636|issue:8589", + "issue:11962|issue:9178", + "issue:1802|issue:487", + "issue:10209|issue:12666" + ], + "prepared_review_unit_hash": "f2e2bd77d0ff585db8cbf1e5d2058c6c877174d333171d6d391320b06ef6fd6e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33840, + "estimated_input_tokens": 8460, + "estimated_eval_tokens": 17176 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose collection of unrelated issues that only share superficial vocabulary around pipelines, training, LoRA, schedulers, and runtime errors. I would not merge any of the soft pairs as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": "issue:12613 is the most active open runtime bug in the set and has the strongest discussion/inbound signal, so it is the best anchor if one must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12613 is the clearest standalone bug report here: concrete failure mode, high discussion, and external references. It is the strongest representative issue in this list.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3249", + "right": "issue:7354", + "accept": false, + "reason": "Different subsystems: UNet block argument validation vs scheduler compatibility in DDPMPipeline." + }, + { + "left": "issue:8477", + "right": "issue:9415", + "accept": false, + "reason": "Different problems: a distributed training script error vs a CogVideoX model API/parameter error." + }, + { + "left": "issue:255", + "right": "issue:409", + "accept": false, + "reason": "Unrelated failures: spatial size validation in UNet blocks vs missing pipeline method attribute." + }, + { + "left": "issue:3683", + "right": "issue:4450", + "accept": false, + "reason": "Multi-ControlNet save_pretrained is unrelated to multi-textual inversion example behavior." + }, + { + "left": "issue:7516", + "right": "issue:9055", + "accept": false, + "reason": "Different missing-symbol issues in different modules; no shared code path is evident." + }, + { + "left": "issue:2904", + "right": "issue:5523", + "accept": false, + "reason": "AudioLDM scheduler attribute error and nondeterministic outputs are not the same bug." + }, + { + "left": "issue:7000", + "right": "issue:7548", + "accept": false, + "reason": "PyTorch pytree deprecation warning is unrelated to AnimateDiff flicker." + }, + { + "left": "issue:3651", + "right": "issue:5178", + "accept": false, + "reason": "Multi-GPU DreamBooth launch failure and DPM-SDE resolution-change failure are distinct." + }, + { + "left": "issue:1614", + "right": "issue:5969", + "accept": false, + "reason": "Both are numerical issues, but one is black-image autocast output and the other is DDIM NaNs with ZSNR patch; different conditions and code paths." + }, + { + "left": "issue:5678", + "right": "issue:5791", + "accept": false, + "reason": "Higher-order-gradient attention bug is unrelated to DreamBooth prior reservation/SNR gamma behavior." + }, + { + "left": "issue:5849", + "right": "issue:9856", + "accept": false, + "reason": "Argument parsing error in a training script is unrelated to distributed port contention." + }, + { + "left": "issue:6110", + "right": "issue:7209", + "accept": false, + "reason": "Both mention offline/loading, but one is LoRA weight loading offline and the other is from_single_file triggering HTTPS; not the same bug." + }, + { + "left": "issue:2704", + "right": "issue:7102", + "accept": false, + "reason": "Feature request for batch processing Multi-ControlNet is not the same as a multi-prompt bug." + }, + { + "left": "issue:4286", + "right": "issue:5109", + "accept": false, + "reason": "Both involve LoRA on SDXL, but the affected pipelines and failure modes differ too much to treat as one bug." + }, + { + "left": "issue:9161", + "right": "issue:9476", + "accept": false, + "reason": "Distributed training bugs and a dtype mismatch in validation are different concrete failures." + }, + { + "left": "issue:10798", + "right": "issue:9366", + "accept": false, + "reason": "Flux quantization/device-combination bug is unrelated to scheduler step-count/strength failures in AutoPipelineForImage2Image." + }, + { + "left": "issue:12613", + "right": "issue:13311", + "accept": false, + "reason": "WAN i2v latent NaNs and FLUX.2 LoRA key loading errors are different model families and failure modes." + }, + { + "left": "issue:10209", + "right": "issue:9467", + "accept": false, + "reason": "CogVideoX fine-tuning error and CogVideoX I2V num_frames guard-rail issue are distinct bugs." + }, + { + "left": "issue:2676", + "right": "issue:3336", + "accept": false, + "reason": "Scheduler naming/support question is unrelated to the DPM-Solver multistep inverse scheduler request." + }, + { + "left": "issue:3570", + "right": "issue:4789", + "accept": false, + "reason": "Cannot disable downloading on checkpoint load is not the same as failing to download DeepFloyd IF." + }, + { + "left": "issue:10636", + "right": "issue:8589", + "accept": false, + "reason": "value_guided_sampling.py bug and SD3 DreamBooth prior preservation are unrelated training issues." + }, + { + "left": "issue:11962", + "right": "issue:9178", + "accept": false, + "reason": "GGUF quantized model support and FLUX LoRA target-module errors are different request/bug types." + }, + { + "left": "issue:1802", + "right": "issue:487", + "accept": false, + "reason": "encoder_hidden_states=None handling in UNet is unrelated to StableDiffusionPipeline failing on M1 CPU." + }, + { + "left": "issue:10209", + "right": "issue:12666", + "accept": false, + "reason": "CogVideoX fine-tuning error and Kandinsky 5.0 missing pipeline support are different model-specific issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 322, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10337", + "issue:10760", + "issue:10891", + "issue:10967", + "issue:11137", + "issue:11225", + "issue:11574", + "issue:12653", + "issue:215", + "issue:2581", + "issue:2645", + "issue:2668", + "issue:280", + "issue:2905", + "issue:2973", + "issue:3116", + "issue:3209", + "issue:3441", + "issue:4104", + "issue:4116", + "issue:4186", + "issue:4263", + "issue:4483", + "issue:5006", + "issue:5064", + "issue:5081", + "issue:5523", + "issue:5714", + "issue:6131", + "issue:6383", + "issue:656", + "issue:6632", + "issue:6956", + "issue:7441", + "issue:8309", + "issue:8320", + "issue:8534", + "issue:8535", + "issue:8641", + "issue:8839", + "issue:8958", + "issue:9031", + "issue:9039", + "issue:9092", + "issue:9476", + "issue:9515", + "issue:984", + "issue:9873" + ], + "soft_pairs": [ + "issue:10337|issue:11137", + "issue:215|issue:656", + "issue:280|issue:2905", + "issue:4116|issue:8320", + "issue:4263|issue:6632", + "issue:5714|issue:7441", + "issue:6383|issue:9515", + "issue:8534|issue:8535", + "issue:9031|issue:9039", + "issue:2973|issue:5523", + "issue:10760|issue:8958", + "issue:5006|issue:6956", + "issue:10891|issue:12653", + "issue:4186|issue:5064", + "issue:10967|issue:8641", + "issue:2581|issue:2645", + "issue:3116|issue:3441", + "issue:3209|issue:984", + "issue:6131|issue:9092", + "issue:11574|issue:8839", + "issue:11225|issue:9476", + "issue:4483|issue:5081", + "issue:8309|issue:9873", + "issue:2668|issue:4104" + ], + "prepared_review_unit_hash": "e5445a02509dd8ca8aaf45122a9d2ceec9e351d4aeee1337f05c71795e66df4a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33547, + "estimated_input_tokens": 8387, + "estimated_eval_tokens": 17030 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous; the soft-similarity pairs are broad theme matches rather than true duplicates. No pull requests are present. If an issue must anchor the cluster, issue:10337 is the strongest concrete bug report with the most discussion and references.", + "confidence": 0.94, + "canonical_issue_reason": "issue:10337 is the clearest, most concrete bug report in the set and has the strongest engagement/inbound references; the rest are largely unrelated bugs or feature requests.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10337 is the best overall representative issue for this cluster because it has a specific failure mode, substantial discussion, and external references.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10337", + "right": "issue:11137", + "accept": false, + "reason": "Both mention dtype/mismatch problems, but they affect different pipelines and likely different code paths." + }, + { + "left": "issue:215", + "right": "issue:656", + "accept": false, + "reason": "Both are memory/resource failures, but one is a generic from_pretrained kill and the other is a training GPU OOM case." + }, + { + "left": "issue:280", + "right": "issue:2905", + "accept": false, + "reason": "Both are scheduler-related feature requests, but they are distinct changes: DEIS support vs Karras sigmas." + }, + { + "left": "issue:4116", + "right": "issue:8320", + "accept": false, + "reason": "Unrelated bugs: SDXL img2img embeddings vs from_single_file __name__ attribute error." + }, + { + "left": "issue:4263", + "right": "issue:6632", + "accept": false, + "reason": "Both involve LoRA, but one is unloading behavior and the other is about save_state in training scripts." + }, + { + "left": "issue:5714", + "right": "issue:7441", + "accept": false, + "reason": "PeftModel support in a warning helper is unrelated to pytest not running on Python 3.12." + }, + { + "left": "issue:6383", + "right": "issue:9515", + "accept": false, + "reason": "Different areas entirely: multi-stage learning rates vs SD3 attention RMSNorm omission." + }, + { + "left": "issue:8534", + "right": "issue:8535", + "accept": false, + "reason": "Both are SD3 issues, but one is training weighting and the other is xformers attention support." + }, + { + "left": "issue:9031", + "right": "issue:9039", + "accept": false, + "reason": "Both are Flax pipeline questions, but safety checker disabling and LoRA loading are separate features." + }, + { + "left": "issue:2973", + "right": "issue:5523", + "accept": false, + "reason": "Both discuss inconsistent outputs, but one is tied to cpu offload behavior and the other is generic run-to-run inconsistency." + }, + { + "left": "issue:10760", + "right": "issue:8958", + "accept": false, + "reason": "Importing a missing pipeline class is unrelated to the torch.library.register_fake compatibility break." + }, + { + "left": "issue:5006", + "right": "issue:6956", + "accept": false, + "reason": "Both are OOM reports, but they involve different pipelines, environments, and failure contexts." + }, + { + "left": "issue:10891", + "right": "issue:12653", + "accept": false, + "reason": "Both are dtype-related regressions, but they are different bugs on different models/devices and code paths." + }, + { + "left": "issue:4186", + "right": "issue:5064", + "accept": false, + "reason": "Both mention refiner, but one is a functional inpaint/refiner bug and the other is an out-of-space inference issue." + }, + { + "left": "issue:10967", + "right": "issue:8641", + "accept": false, + "reason": "These are separate model integration requests, not the same underlying change." + }, + { + "left": "issue:2581", + "right": "issue:2645", + "accept": false, + "reason": "ControlNet checkpoint conversion and a macOS CUDA assertion error are unrelated problems." + }, + { + "left": "issue:3116", + "right": "issue:3441", + "accept": false, + "reason": "Different failure modes: latent noise in KDPM2DiscreteScheduler vs VRAM usage regression." + }, + { + "left": "issue:3209", + "right": "issue:984", + "accept": false, + "reason": "Both are numerical/shape issues on larger inputs, but they arise from different ops and symptoms." + }, + { + "left": "issue:6131", + "right": "issue:9092", + "accept": false, + "reason": "IP-Adapter Plus failure and missing model_index.json are unrelated pipeline issues." + }, + { + "left": "issue:11574", + "right": "issue:8839", + "accept": false, + "reason": "Both are weight-loading errors, but they concern different models and different missing keys." + }, + { + "left": "issue:11225", + "right": "issue:9476", + "accept": false, + "reason": "Both are validation/training regressions, but one is OOM and the other is a dtype mismatch." + }, + { + "left": "issue:4483", + "right": "issue:5081", + "accept": false, + "reason": "Generator nondeterminism and LPW XL shape mismatch are distinct bugs." + }, + { + "left": "issue:8309", + "right": "issue:9873", + "accept": false, + "reason": "Both are model integration items, but they are different models and not the same change." + }, + { + "left": "issue:2668", + "right": "issue:4104", + "accept": false, + "reason": "ControlNet image routing bug and black-image/invalid cast output are different pipeline failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 323, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10030", + "issue:10121", + "issue:10194", + "issue:10584", + "issue:11221", + "issue:11601", + "issue:12052", + "issue:12120", + "issue:13281", + "issue:1746", + "issue:1933", + "issue:2579", + "issue:3116", + "issue:3406", + "issue:3441", + "issue:3960", + "issue:4075", + "issue:4159", + "issue:4249", + "issue:4701", + "issue:4801", + "issue:4875", + "issue:4911", + "issue:5224", + "issue:5313", + "issue:5365", + "issue:5703", + "issue:5981", + "issue:5997", + "issue:6091", + "issue:6101", + "issue:6552", + "issue:6586", + "issue:6964", + "issue:7365", + "issue:7418", + "issue:7460", + "issue:7636", + "issue:8649", + "issue:8898", + "issue:9051", + "issue:9052", + "issue:929", + "issue:9516", + "issue:9799", + "issue:9822", + "issue:9907" + ], + "soft_pairs": [ + "issue:3116|issue:5703", + "issue:4701|issue:6091", + "issue:3960|issue:5313", + "issue:12052|issue:13281", + "issue:11601|issue:8898", + "issue:1746|issue:5224", + "issue:1933|issue:4075", + "issue:3406|issue:929", + "issue:4249|issue:7365", + "issue:4801|issue:5981", + "issue:4911|issue:9052", + "issue:5365|issue:8649", + "issue:7418|issue:7460", + "issue:9516|issue:9822", + "issue:10030|issue:7636", + "issue:10121|issue:10584", + "issue:5997|issue:9907", + "issue:2579|issue:3441", + "issue:3441|issue:4159", + "issue:6101|issue:6964", + "issue:10194|issue:12120", + "issue:11221|issue:9799", + "issue:4875|issue:9051", + "issue:6552|issue:6586" + ], + "prepared_review_unit_hash": "000f019a1cfe6c8ca40501286a6ce43f5da040bf4d93d46a40869ff4edfaf82f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33344, + "estimated_input_tokens": 8336, + "estimated_eval_tokens": 16928 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the items span unrelated bugs, docs, scheduler issues, Flux/ControlNet problems, and training questions. None of the soft pairs look like the same underlying defect, so there is no meaningful canonical duplicate target here.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out; the set is not a duplicate cluster and the candidates cover different code paths and even non-bug/doc items.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue for deduping: several issues are concrete, but they are about different subsystems and should not be merged into one representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3116", + "right": "issue:5703", + "accept": false, + "reason": "Both relate to sampling/schedulers, but one is KDPM2DiscreteScheduler image2image noise and the other is ddim_inverse noise reconstruction; different bugs." + }, + { + "left": "issue:4701", + "right": "issue:6091", + "accept": false, + "reason": "AutoencoderKL CUDA differentiation error is unrelated to Consistency Decoder memory usage with a size argument." + }, + { + "left": "issue:3960", + "right": "issue:5313", + "accept": false, + "reason": "LoRA header-too-large loading failure is not the same as non-revertible fuse behavior." + }, + { + "left": "issue:12052", + "right": "issue:13281", + "accept": false, + "reason": "Both mention device mismatch/offloading, but they involve different models and mechanisms (Wan 2.2 LightX2V vs torchao-quantized qwen image)." + }, + { + "left": "issue:11601", + "right": "issue:8898", + "accept": false, + "reason": "One is a missing use_safetensors argument propagation; the other is a from_pretrained subfolder path validation error." + }, + { + "left": "issue:1746", + "right": "issue:5224", + "accept": false, + "reason": "Both are Flax Stable Diffusion issues, but they are different errors in different contexts/models." + }, + { + "left": "issue:1933", + "right": "issue:4075", + "accept": false, + "reason": "These are separate docstring fixes for different pipelines, not the same change." + }, + { + "left": "issue:3406", + "right": "issue:929", + "accept": false, + "reason": "The attention class failure with only_cross_attention=True is unrelated to the duplicated square-root calculation concern." + }, + { + "left": "issue:4249", + "right": "issue:7365", + "accept": false, + "reason": "StableDiffusionUpscalePipeline prompt_embeds validation differs from pooled_prompt_embeds being overwritten." + }, + { + "left": "issue:4801", + "right": "issue:5981", + "accept": false, + "reason": "Mixed precision example training bug and DPMSolverMultistepScheduler bug are different code paths." + }, + { + "left": "issue:4911", + "right": "issue:9052", + "accept": false, + "reason": "Both are loading-related, but custom text_encoder loading and civit from_single_file failures are distinct issues." + }, + { + "left": "issue:5365", + "right": "issue:8649", + "accept": false, + "reason": "txt2video num_inference_steps handling is unrelated to SD3 num_images_per_prompt support." + }, + { + "left": "issue:7418", + "right": "issue:7460", + "accept": false, + "reason": "A community example bug is not the same as an AdaLayerNorm defect." + }, + { + "left": "issue:9516", + "right": "issue:9822", + "accept": false, + "reason": "Missing joint_attention_kwargs forwarding to Flux transformers is different from loading SDXL LoRAs into Flux." + }, + { + "left": "issue:10030", + "right": "issue:7636", + "accept": false, + "reason": "ControlNet added_cond_kwargs null handling is a different bug from using the ControlNet SDXL tile model." + }, + { + "left": "issue:10121", + "right": "issue:10584", + "accept": false, + "reason": "High-resolution generation in Flux.1 Dev and missing timestep indices in scheduling_flow_match_euler_discrete.py are unrelated." + }, + { + "left": "issue:5997", + "right": "issue:9907", + "accept": false, + "reason": "ControlNet SDXL tutorial model-type mismatch is not the same as a Flux ControlNet sequence-length warning." + }, + { + "left": "issue:2579", + "right": "issue:3441", + "accept": false, + "reason": "A possible xFormers misuse is not the same as higher VRAM usage in PyTorch 2 without xFormers." + }, + { + "left": "issue:3441", + "right": "issue:4159", + "accept": false, + "reason": "Both are VRAM-related, but one is a performance regression and the other is a specific DiffEdit memory explosion." + }, + { + "left": "issue:6101", + "right": "issue:6964", + "accept": false, + "reason": "ControlNet inpaint performance is not the same as 4-channel UNet incompatibility." + }, + { + "left": "issue:10194", + "right": "issue:12120", + "accept": false, + "reason": "Flux attention masking support and LoRA training on distilled Flux are different concerns." + }, + { + "left": "issue:11221", + "right": "issue:9799", + "accept": false, + "reason": "AutoencoderKL training non-convergence is unrelated to a tensor shape mismatch runtime error." + }, + { + "left": "issue:4875", + "right": "issue:9051", + "accept": false, + "reason": "DPM++ SDE batch-size change crashes and FluxPipeline batch inference limitations are different failures." + }, + { + "left": "issue:6552", + "right": "issue:6586", + "accept": false, + "reason": "FP16 training resume problems and SDXL trainer micro-conditioning are separate tracker items." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 324, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1009", + "issue:10472", + "issue:11083", + "issue:11092", + "issue:11136", + "issue:11169", + "issue:11321", + "issue:11497", + "issue:11569", + "issue:11978", + "issue:12358", + "issue:12369", + "issue:12624", + "issue:13176", + "issue:13301", + "issue:1486", + "issue:2306", + "issue:2758", + "issue:2875", + "issue:3209", + "issue:3348", + "issue:3354", + "issue:3643", + "issue:3960", + "issue:4424", + "issue:4616", + "issue:4767", + "issue:4933", + "issue:4935", + "issue:5017", + "issue:5103", + "issue:5474", + "issue:5544", + "issue:5546", + "issue:5593", + "issue:5621", + "issue:5710", + "issue:6686", + "issue:6700", + "issue:7220", + "issue:7300", + "issue:8390", + "issue:8451", + "issue:8873", + "issue:9007", + "issue:9216", + "issue:9297", + "issue:9670" + ], + "soft_pairs": [ + "issue:11321|issue:8451", + "issue:11569|issue:12624", + "issue:2875|issue:3209", + "issue:4767|issue:5621", + "issue:5546|issue:6686", + "issue:9297|issue:9670", + "issue:11092|issue:11136", + "issue:1009|issue:1486", + "issue:3348|issue:3960", + "issue:4933|issue:7220", + "issue:11083|issue:8873", + "issue:11978|issue:12369", + "issue:2758|issue:5103", + "issue:3354|issue:4424", + "issue:4616|issue:5544", + "issue:4935|issue:7300", + "issue:5017|issue:8390", + "issue:5474|issue:9216", + "issue:5593|issue:6700", + "issue:5710|issue:9007", + "issue:2306|issue:3643", + "issue:10472|issue:11497", + "issue:11169|issue:13176", + "issue:12358|issue:13301" + ], + "prepared_review_unit_hash": "f667d7429eee5d99fd008ecfff23d720443868553ac41ecf545a35df3650be04", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34316, + "estimated_input_tokens": 8579, + "estimated_eval_tokens": 17414 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous: training-script bugs, scheduler issues, pipeline feature requests, docs, and unrelated errors. Only one soft pair looks like a plausible duplicate around the INT_MAX / large-latent decode failure.", + "confidence": 0.43, + "canonical_issue_reason": "Issue 3643 is the clearest, most specific report in the only plausible duplicate pair, with an exact error message and code-path context; issue 2306 is too vague to serve as a better anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 3643 is the best representative issue overall because it states the concrete failure mode clearly; the rest of the cluster does not form a coherent duplicate set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11321", + "right": "issue:8451", + "accept": false, + "reason": "Both relate to training/docs, but they describe different problems: a Flux ControlNet README issue versus frozen UNet parameter guidance." + }, + { + "left": "issue:11569", + "right": "issue:12624", + "accept": false, + "reason": "Unrelated requests: one asks for a repo for a model checkpoint, the other asks to add a strength parameter to a video pipeline." + }, + { + "left": "issue:2875", + "right": "issue:3209", + "accept": false, + "reason": "Both mention NaNs, but the underlying bugs differ: training loss instability versus AutoencoderKL NaNs on large images." + }, + { + "left": "issue:4767", + "right": "issue:5621", + "accept": false, + "reason": "Different scheduler/model support issues; no evidence they target the same code path or fix." + }, + { + "left": "issue:5546", + "right": "issue:6686", + "accept": false, + "reason": "One is about wrong step counts in scheduler ensembles, the other about Dynamo save/load performance regression." + }, + { + "left": "issue:9297", + "right": "issue:9670", + "accept": false, + "reason": "Different LoRA-loading problems: linear load-time scaling versus missing PEFT backend requirements." + }, + { + "left": "issue:11092", + "right": "issue:11136", + "accept": false, + "reason": "Both concern timestep handling, but they affect different pipelines and different constraints, so they are not the same bug." + }, + { + "left": "issue:1009", + "right": "issue:1486", + "accept": false, + "reason": "Different scheduler/training issues: textual inversion weight decay versus DDIM prediction_type='sample' behavior." + }, + { + "left": "issue:3348", + "right": "issue:3960", + "accept": false, + "reason": "One is about LoRA scale support with xformers, the other is a HeaderTooLarge error in LoRA conversion." + }, + { + "left": "issue:4933", + "right": "issue:7220", + "accept": false, + "reason": "Unrelated issues: DreamBooth output artifact missing versus IP-Adapter unload failure in a ControlNet inpaint pipeline." + }, + { + "left": "issue:11083", + "right": "issue:8873", + "accept": false, + "reason": "Different performance/warning complaints: DDP stride mismatch warning versus xformers being slower on A100." + }, + { + "left": "issue:11978", + "right": "issue:12369", + "accept": false, + "reason": "Both are model-pipeline requests, but they concern different models and different additions." + }, + { + "left": "issue:2758", + "right": "issue:5103", + "accept": false, + "reason": "Both mention black images, but the causes differ: ROCm/torch.compile warning versus zero-SNR DDIM behavior." + }, + { + "left": "issue:3354", + "right": "issue:4424", + "accept": false, + "reason": "Both are precision-related training-script bugs, but they affect different components (UNet fp16 casting vs VAE float32 upcast) and are not the same fix." + }, + { + "left": "issue:4616", + "right": "issue:5544", + "accept": false, + "reason": "Completely different bugs: SDXL LoRA conversion failure versus FreeU disable error in SDXL." + }, + { + "left": "issue:4935", + "right": "issue:7300", + "accept": false, + "reason": "Both involve attention/LoRA internals, but one is a usage question for an SDXL LoRA script and the other is a memory regression after set_default_attn_processor()." + }, + { + "left": "issue:5017", + "right": "issue:8390", + "accept": false, + "reason": "Different feature requests about ControlNet support; they do not describe the same pipeline or change." + }, + { + "left": "issue:5474", + "right": "issue:9216", + "accept": false, + "reason": "Both are pipeline-related, but one requests a Reference Only pipeline and the other describes a custom multi-model pipeline." + }, + { + "left": "issue:5593", + "right": "issue:6700", + "accept": false, + "reason": "Different failure modes: AutoPipeline conversion with ControlNet versus attention processors receiving an unexpected temb argument." + }, + { + "left": "issue:5710", + "right": "issue:9007", + "accept": false, + "reason": "Same scheduler family, but distinct bugs: missing sigmas initialization versus black output with order 3." + }, + { + "left": "issue:2306", + "right": "issue:3643", + "accept": true, + "reason": "These look like the same underlying large-image INT_MAX/latent-decoding problem; 3643 provides the exact error and code path." + }, + { + "left": "issue:10472", + "right": "issue:11497", + "accept": false, + "reason": "Different LoRA-related issues: an unexpected lora_bias constructor argument versus dataset cache dependence on unrelated arguments." + }, + { + "left": "issue:11169", + "right": "issue:13176", + "accept": false, + "reason": "Unrelated import-time binary incompatibility versus a UNet attention error." + }, + { + "left": "issue:12358", + "right": "issue:13301", + "accept": false, + "reason": "Both are pipeline-addition requests, but for different models and not the same change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analyst stays grounded in the packet: the cluster is heterogeneous, the non-matching soft pairs are rejected conservatively, and the one accepted pair (2306/3643) is supported by the shared INT_MAX / latent-decoding failure mode. No overstatement stands out." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 325, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10039", + "issue:1009", + "issue:10112", + "issue:10266", + "issue:10337", + "issue:10381", + "issue:10591", + "issue:10782", + "issue:10901", + "issue:1101", + "issue:1117", + "issue:11790", + "issue:12083", + "issue:1262", + "issue:1314", + "issue:1537", + "issue:1540", + "issue:1896", + "issue:1918", + "issue:201", + "issue:2579", + "issue:2785", + "issue:3282", + "issue:3405", + "issue:3660", + "issue:4593", + "issue:4916", + "issue:4923", + "issue:5016", + "issue:5271", + "issue:5515", + "issue:5678", + "issue:579", + "issue:5897", + "issue:6366", + "issue:6412", + "issue:6742", + "issue:7859", + "issue:8488", + "issue:8604", + "issue:8644", + "issue:8803", + "issue:9178", + "issue:9186", + "issue:941", + "issue:964", + "issue:9810" + ], + "soft_pairs": [ + "issue:8488|issue:8644", + "issue:5515|issue:6742", + "issue:1314|issue:4916", + "issue:1537|issue:941", + "issue:1540|issue:579", + "issue:1918|issue:964", + "issue:6412|issue:9186", + "issue:5016|issue:6366", + "issue:4923|issue:5271", + "issue:1262|issue:1896", + "issue:2579|issue:3660", + "issue:4593|issue:5678", + "issue:3282|issue:5897", + "issue:10039|issue:8803", + "issue:1009|issue:3405", + "issue:10112|issue:7859", + "issue:10266|issue:10337", + "issue:10381|issue:8604", + "issue:10591|issue:11790", + "issue:10591|issue:9810", + "issue:10782|issue:12083", + "issue:10901|issue:9178", + "issue:1101|issue:2785", + "issue:1117|issue:201" + ], + "prepared_review_unit_hash": "4ffc027ecf10a87f6bbf9b99d3ac3dcc70cc458ae185b811289de1790fe1e494", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33233, + "estimated_input_tokens": 8309, + "estimated_eval_tokens": 16874 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a collection of unrelated diffusers bug reports and feature requests spanning different pipelines, models, and failure modes. None of the soft pairs look like the same underlying bug/change closely enough to merge.", + "confidence": 0.95, + "canonical_issue_reason": "issue:8488 is a concrete, high-activity bug report with a clear pipeline failure (`StableDiffusion3Pipeline.from_pretrained` exception), making it a strong representative issue in this set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8488 is the best single issue to anchor the cluster because it describes a specific reproducible runtime failure in a major pipeline and has substantial discussion around it.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8488", + "right": "issue:8644", + "accept": false, + "reason": "Both involve SD3/T5 loading problems, but one is a `from_pretrained` exception and the other is a meta-tensor/offload issue when loading T5 separately; different failure paths." + }, + { + "left": "issue:5515", + "right": "issue:6742", + "accept": false, + "reason": "These are unrelated: one is an LCM pipeline scheduler initialization failure, the other is a motion block checkpointing behavior difference." + }, + { + "left": "issue:1314", + "right": "issue:4916", + "accept": false, + "reason": "Both mention training/backward failures, but one is an xformers Windows backward error and the other is a gradient checkpointing/ZeRO3 training failure." + }, + { + "left": "issue:1537", + "right": "issue:941", + "accept": false, + "reason": "Both are MPS-related, but they affect different pipelines and symptoms: scheduler compatibility versus noisy multi-image img2img output." + }, + { + "left": "issue:1540", + "right": "issue:579", + "accept": false, + "reason": "Different missing-file/config problems in different training flows; not the same underlying bug." + }, + { + "left": "issue:1918", + "right": "issue:964", + "accept": false, + "reason": "A DDIM scheduler issue for one example is not the same as a broken inpainting example." + }, + { + "left": "issue:6412", + "right": "issue:9186", + "accept": false, + "reason": "ControlNet annotator ONNX conversion and differential diffusion with ControlNet are different features and failure modes." + }, + { + "left": "issue:5016", + "right": "issue:6366", + "accept": false, + "reason": "Both are SDXL Dreambooth/LoRA related, but one is about training text encoders and the other about incorrect checkpoint loading after saving." + }, + { + "left": "issue:4923", + "right": "issue:5271", + "accept": false, + "reason": "A feature request for AudioLDM 2 transcript input is unrelated to choosing different learning rates for text encoders and UNet." + }, + { + "left": "issue:1262", + "right": "issue:1896", + "accept": false, + "reason": "Rectangle-image training and a CLIP-guided Stable Diffusion size/type error are unrelated bugs." + }, + { + "left": "issue:2579", + "right": "issue:3660", + "accept": false, + "reason": "One is a possible xFormers misuse/bug, the other is `torch.compile` incompatibility with LoRA/xFormers; not the same concrete issue." + }, + { + "left": "issue:4593", + "right": "issue:5678", + "accept": false, + "reason": "Automatic1111 LoRA loading rank limits and higher-order derivative issues in attention are different code-path problems." + }, + { + "left": "issue:3282", + "right": "issue:5897", + "accept": false, + "reason": "Missing `memory_efficient_attention_forward` operator and CPU/CUDA device mismatch are distinct runtime errors." + }, + { + "left": "issue:10039", + "right": "issue:8803", + "accept": false, + "reason": "Forgotten output sample size in `AttnUpBlock2D` and a duplicate `hidden_states` assignment are separate attention-block bugs." + }, + { + "left": "issue:1009", + "right": "issue:3405", + "accept": false, + "reason": "Textual inversion weight decay and controlnet training failure do not describe the same bug." + }, + { + "left": "issue:10112", + "right": "issue:7859", + "accept": false, + "reason": "A vague diffusers issue and a FlashFace implementation request are not duplicates." + }, + { + "left": "issue:10266", + "right": "issue:10337", + "accept": false, + "reason": "UniPC/FlowMatch index OOB and FLUX IPAdapter quantized-transformers failure are different model/scheduler paths." + }, + { + "left": "issue:10381", + "right": "issue:8604", + "accept": false, + "reason": "Flux quantization/LoRA inference error and T5 float16 corruption are related to quantization but involve different components and symptoms." + }, + { + "left": "issue:10591", + "right": "issue:11790", + "accept": false, + "reason": "A training-script bug and a later checkpoint loading bug are related only broadly to LoRA, not the same failure." + }, + { + "left": "issue:10591", + "right": "issue:9810", + "accept": false, + "reason": "SD3 LoRA training-script issues and missing `module_to_save()` support are different implementation gaps." + }, + { + "left": "issue:10782", + "right": "issue:12083", + "accept": false, + "reason": "Lumina Image minor issue and Qwen-Image long-prompt error are unrelated model-specific bugs." + }, + { + "left": "issue:10901", + "right": "issue:9178", + "accept": false, + "reason": "HunyuanVideo negative-prompt behavior and FLUX LoRA PEFT target-module errors are different subsystems and failures." + }, + { + "left": "issue:1101", + "right": "issue:2785", + "accept": false, + "reason": "Adding a DPM-Solver scheduler is a feature request, not the same as M1/M2 support for text-to-video." + }, + { + "left": "issue:1117", + "right": "issue:201", + "accept": false, + "reason": "Test coverage for multiple negative prompts and attention-class tests are not the same issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 326, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10460", + "issue:11653", + "issue:11872", + "issue:12012", + "issue:12610", + "issue:13488", + "issue:1746", + "issue:1994", + "issue:2192", + "issue:2392", + "issue:2412", + "issue:2610", + "issue:2907", + "issue:2988", + "issue:3040", + "issue:3045", + "issue:3250", + "issue:3450", + "issue:347", + "issue:3706", + "issue:3761", + "issue:4194", + "issue:444", + "issue:4468", + "issue:4480", + "issue:4616", + "issue:5079", + "issue:5135", + "issue:5178", + "issue:5339", + "issue:5441", + "issue:5489", + "issue:5538", + "issue:5777", + "issue:5989", + "issue:6176", + "issue:6230", + "issue:6250", + "issue:6441", + "issue:6686", + "issue:7157", + "issue:7525", + "issue:7574", + "issue:8494", + "issue:8567", + "issue:8579", + "issue:8588", + "issue:8752" + ], + "soft_pairs": [ + "issue:1994|issue:5079", + "issue:2192|issue:6230", + "issue:2907|issue:3761", + "issue:3045|issue:5989", + "issue:3706|issue:7525", + "issue:4194|issue:6441", + "issue:4468|issue:6686", + "issue:5135|issue:6176", + "issue:5489|issue:7157", + "issue:5538|issue:8588", + "issue:5777|issue:8567", + "issue:11653|issue:8579", + "issue:12012|issue:12610", + "issue:1746|issue:2412", + "issue:4616|issue:5441", + "issue:6250|issue:7574", + "issue:2392|issue:3040", + "issue:11872|issue:13488", + "issue:2610|issue:4480", + "issue:2988|issue:444", + "issue:10460|issue:8494", + "issue:3250|issue:5178", + "issue:3450|issue:347", + "issue:5339|issue:8752" + ], + "prepared_review_unit_hash": "ee8452a408ccd0fc2896564578ce6dedfd9d2498500ebda1603b0c9082913df4", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33741, + "estimated_input_tokens": 8436, + "estimated_eval_tokens": 17128 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a set of largely unrelated issues that only weakly resemble each other by broad keywords (offloading, loading, LoRA, pipelines). None of the soft-edge pairs look like the same underlying bug or change, so all should be rejected as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1994", + "right": "issue:5079", + "accept": false, + "reason": "AWS/S3 save/load support is a storage backend feature request; the other is LoRA loader support for LyCORIS. Different functionality and failure mode." + }, + { + "left": "issue:2192", + "right": "issue:6230", + "accept": false, + "reason": "Missing CLI arguments in a training script vs CUDA OOM during SDXL training. Same area, but not the same bug." + }, + { + "left": "issue:2907", + "right": "issue:3761", + "accept": false, + "reason": "Double CPU offload invocation failure vs inability to load two community pipelines in one process. Different code paths and symptoms." + }, + { + "left": "issue:3045", + "right": "issue:5989", + "accept": false, + "reason": "LoRA safetensors conversion issue vs a generic safetensors.torch bug. Not the same concrete defect." + }, + { + "left": "issue:3706", + "right": "issue:7525", + "accept": false, + "reason": "Wuerstchen model announcement/feature discussion vs discrete scheduler bug report. No shared underlying bug." + }, + { + "left": "issue:4194", + "right": "issue:6441", + "accept": false, + "reason": "Single-file VAE loading problem vs Colab from_pretrained failure. Both are loading-related but distinct contexts and causes." + }, + { + "left": "issue:4468", + "right": "issue:6686", + "accept": false, + "reason": "Multi-GPU sample performance discrepancy vs Dynamo save/load performance regression. Different performance issues." + }, + { + "left": "issue:5135", + "right": "issue:6176", + "accept": false, + "reason": "LoRA quality degradation with xformers vs failure loading LoRA weights after DreamBooth training. One is quality, the other is loading correctness." + }, + { + "left": "issue:5489", + "right": "issue:7157", + "accept": false, + "reason": "Broad PEFT integration discussion vs specific unexpected-key errors when loading LCM LoRA. Too different in scope and symptom." + }, + { + "left": "issue:5538", + "right": "issue:8588", + "accept": false, + "reason": "Pipeline using the wrong latent vs missing SD3 conversion script. Completely different issues." + }, + { + "left": "issue:5777", + "right": "issue:8567", + "accept": false, + "reason": "DreamBooth training error on PixArt vs question about SD3 training objective correctness. Different models and bugs." + }, + { + "left": "issue:11653", + "right": "issue:8579", + "accept": false, + "reason": "HiDream .alpha key support in OneTrainer vs SD3 LoRA being non-functional. Different model formats and failure modes." + }, + { + "left": "issue:12012", + "right": "issue:12610", + "accept": false, + "reason": "Wan 2.2 first-block cache context error vs Quanto+Group Offload device mismatch. Both involve offloading-adjacent behavior, but not the same bug." + }, + { + "left": "issue:1746", + "right": "issue:2412", + "accept": false, + "reason": "Flax stable diffusion pipeline error vs a DreamBooth error. Unrelated pipelines/frameworks." + }, + { + "left": "issue:4616", + "right": "issue:5441", + "accept": false, + "reason": "SDXL LoRA conversion script problem vs WuerstchenPrior lacking attn_processors. Different models and tooling." + }, + { + "left": "issue:6250", + "right": "issue:7574", + "accept": false, + "reason": "SDXL VAE single-file KeyError vs missing middle_block_out weight key. Both are state-dict/loading issues, but not the same missing key set or model path." + }, + { + "left": "issue:2392", + "right": "issue:3040", + "accept": false, + "reason": "prompt_embeds validation bug in img2img vs an AttributeError from pasted-docs code using a list. Different root causes." + }, + { + "left": "issue:11872", + "right": "issue:13488", + "accept": false, + "reason": "Repeated CPU/GPU movement inefficiency vs a regression where offloading breaks in diffusers-0.38.0.dev0. Related subsystem, but not the same concrete defect." + }, + { + "left": "issue:2610", + "right": "issue:4480", + "accept": false, + "reason": "Local clang setup/build error on macOS vs MPS float16 kernel crash. Different platform issues." + }, + { + "left": "issue:2988", + "right": "issue:444", + "accept": false, + "reason": "Scheduler crash when training and inference steps match vs index error at certain num_inference_steps values. Different boundary conditions." + }, + { + "left": "issue:10460", + "right": "issue:8494", + "accept": false, + "reason": "Missing documented UNet2DModel argument vs unexpected force_hooks kwarg in SD3. Different API mismatches." + }, + { + "left": "issue:3250", + "right": "issue:5178", + "accept": false, + "reason": "KDiffusion pipeline startup failure vs DPM-SDE resolution-change failure. Same broad area, different bug." + }, + { + "left": "issue:3450", + "right": "issue:347", + "accept": false, + "reason": "StableDiffusionPipeline.from_ckpt dev-version issue vs package installation/version resolution error. Not the same problem." + }, + { + "left": "issue:5339", + "right": "issue:8752", + "accept": false, + "reason": "Local safetensor loading failure vs offline single-file SDXL loading. Both mention model loading, but the causes are different." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 327, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10428", + "issue:10518", + "issue:10526", + "issue:10958", + "issue:11083", + "issue:11732", + "issue:12338", + "issue:13137", + "issue:13386", + "issue:1339", + "issue:1534", + "issue:2035", + "issue:2163", + "issue:2370", + "issue:2410", + "issue:2534", + "issue:2581", + "issue:3149", + "issue:3194", + "issue:3958", + "issue:4043", + "issue:4101", + "issue:4232", + "issue:4279", + "issue:4376", + "issue:4488", + "issue:460", + "issue:4664", + "issue:4668", + "issue:4753", + "issue:4756", + "issue:4837", + "issue:490", + "issue:4904", + "issue:5009", + "issue:5365", + "issue:5628", + "issue:5957", + "issue:6457", + "issue:6870", + "issue:696", + "issue:7240", + "issue:7616", + "issue:8296", + "issue:8429", + "issue:8509", + "issue:9163", + "issue:9613" + ], + "soft_pairs": [ + "issue:6457|issue:8296", + "issue:10428|issue:8429", + "issue:3958|issue:4279", + "issue:3194|issue:6870", + "issue:4753|issue:9163", + "issue:2581|issue:4488", + "issue:4101|issue:4837", + "issue:12338|issue:13386", + "issue:2163|issue:2410", + "issue:4376|issue:4664", + "issue:5365|issue:9613", + "issue:11732|issue:13137", + "issue:1339|issue:3149", + "issue:2370|issue:4756", + "issue:4232|issue:8509", + "issue:4904|issue:5957", + "issue:5628|issue:7240", + "issue:2035|issue:490", + "issue:2534|issue:5009", + "issue:4043|issue:460", + "issue:4668|issue:7616", + "issue:10526|issue:10958", + "issue:10518|issue:11083", + "issue:1534|issue:696" + ], + "prepared_review_unit_hash": "e032faec951eb727fa3865dafe258c1ff49dd7ebfd97f738ac1f680139bd2f27", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34069, + "estimated_input_tokens": 8518, + "estimated_eval_tokens": 17292 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated bug reports that only share generic failure-language. I found no soft pair that looks like the same underlying issue or change, so all candidate edges should be rejected. Issue 10526 is the best representative anchor only because it is the most concrete and narrowly scoped report in an otherwise noisy set.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 10526 is the most specific, actionable bug report here; it\u2019s the best representative anchor, but not a true duplicate hub for the rest of the set.", + "canonical_pr_reason": null, + "best_issue_reason": "10526 has the clearest failure mode and narrowest scope, making it the strongest standalone issue in this cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6457", + "right": "issue:8296", + "accept": false, + "reason": "Different training-resume/global-step confusion vs multi-GPU SDXL-LoRA gradient accumulation; same general area, not the same bug." + }, + { + "left": "issue:10428", + "right": "issue:8429", + "accept": false, + "reason": "Ascend NPU Flux inference error and I2VGen-XL inference-script problems involve different models and code paths." + }, + { + "left": "issue:3958", + "right": "issue:4279", + "accept": false, + "reason": "Both mention LoRA loading, but one is enable_model_cpu_offload interaction and the other is SDXL 0.9 CivitAI LoRA loading; not the same concrete failure." + }, + { + "left": "issue:3194", + "right": "issue:6870", + "accept": false, + "reason": "Package metadata/bitsandbytes install issue vs missing enable_vae_tiling API on image-to-image/inpaint pipelines; unrelated." + }, + { + "left": "issue:4753", + "right": "issue:9163", + "accept": false, + "reason": "Different scripts and failures: generic train_dreambooth_lora.py problem vs Flux-specific tensor bugs." + }, + { + "left": "issue:2581", + "right": "issue:4488", + "accept": false, + "reason": "ControlNet conversion support request vs SDXL checkpoint conversion without pipeline_class; different conversion problems." + }, + { + "left": "issue:4101", + "right": "issue:4837", + "accept": false, + "reason": "Both are conversion-related, but one is custom-dataset ControlNet conversion failure and the other is SDXL original-checkpoint conversion failure; not the same bug." + }, + { + "left": "issue:12338", + "right": "issue:13386", + "accept": false, + "reason": "VAE slicing/decoding multiple images is unrelated to prior-preservation tensor concatenation crashes in a training script." + }, + { + "left": "issue:2163", + "right": "issue:2410", + "accept": false, + "reason": "UNet dtype mismatch during training is unrelated to missing flax/pytorch output files in the Flax script." + }, + { + "left": "issue:4376", + "right": "issue:4664", + "accept": false, + "reason": "Both are SDXL loader issues, but one is textual inversion crash and the other is LoRA-loading behavior; different concrete failures." + }, + { + "left": "issue:5365", + "right": "issue:9613", + "accept": false, + "reason": "txt2video num_inference_steps handling and a Timesteps.scale attribute error are distinct inference-time bugs." + }, + { + "left": "issue:11732", + "right": "issue:13137", + "accept": false, + "reason": "Both concern LoRA weights, but the unpacking ValueError and Flux 2 Klein LoKr error are different model/loader failures." + }, + { + "left": "issue:1339", + "right": "issue:3149", + "accept": false, + "reason": "General nondeterminism reports, but one is a broad same-seed complaint and the other is a specific Diffusers 0.14.0 regression; not the same issue." + }, + { + "left": "issue:2370", + "right": "issue:4756", + "accept": false, + "reason": "LoRA training on 24GB GPU vs support for a style-training notebook; different request and different context." + }, + { + "left": "issue:4232", + "right": "issue:8509", + "accept": false, + "reason": "Instruct-pix2pix/controlnet training-inference code request is not the same as a ControlNet++ feature request." + }, + { + "left": "issue:4904", + "right": "issue:5957", + "accept": false, + "reason": "GLIGEN modularization and LoRACompatibleConv padding_mode are unrelated changes." + }, + { + "left": "issue:5628", + "right": "issue:7240", + "accept": false, + "reason": "Scheduler denoising-offset bug vs low-quality conversion output; different subsystems and symptoms." + }, + { + "left": "issue:2035", + "right": "issue:490", + "accept": false, + "reason": "Tiled upscaling artifacts and memory issues are different classes of problems." + }, + { + "left": "issue:2534", + "right": "issue:5009", + "accept": false, + "reason": "Scheduler switching error vs Wuerstchen error; unrelated model/runtime issues." + }, + { + "left": "issue:4043", + "right": "issue:460", + "accept": false, + "reason": "SDXL pooled-embeds requirement and ONNX runtime dependency issue are unrelated." + }, + { + "left": "issue:4668", + "right": "issue:7616", + "accept": false, + "reason": "Weird images from Kohya-style LoRA on SD1.5 and low-denoise img2img artifacts on Playground 2.5 are different bugs." + }, + { + "left": "issue:10526", + "right": "issue:10958", + "accept": false, + "reason": "Flux FP8 optimum.quanto TypeError and CogView4 meta-tensor copy failure are different model/runtime failures." + }, + { + "left": "issue:10518", + "right": "issue:11083", + "accept": false, + "reason": "A broken sd3_lora_colab training script and a torch-DDP stride-mismatch warning are not the same underlying problem." + }, + { + "left": "issue:1534", + "right": "issue:696", + "accept": false, + "reason": "Dreambooth notebook error vs CUDA OOM during Dreambooth training; related topic, but not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 328, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10121", + "issue:10594", + "issue:11104", + "issue:11160", + "issue:11222", + "issue:11886", + "issue:13286", + "issue:1556", + "issue:1643", + "issue:1811", + "issue:2459", + "issue:2495", + "issue:2800", + "issue:3431", + "issue:3730", + "issue:4104", + "issue:4149", + "issue:4307", + "issue:4484", + "issue:4911", + "issue:5125", + "issue:5153", + "issue:5412", + "issue:5537", + "issue:5703", + "issue:5984", + "issue:6154", + "issue:6297", + "issue:6366", + "issue:6570", + "issue:6732", + "issue:6880", + "issue:7066", + "issue:7165", + "issue:7333", + "issue:7575", + "issue:8264", + "issue:8323", + "issue:8450", + "issue:8609", + "issue:8880", + "issue:9101", + "issue:9180", + "issue:9241", + "issue:938", + "issue:9611", + "issue:9756", + "issue:9858" + ], + "soft_pairs": [ + "issue:1643|issue:2459", + "issue:6732|issue:9756", + "issue:11160|issue:11222", + "issue:6154|issue:9858", + "issue:10594|issue:11886", + "issue:1556|issue:2495", + "issue:4911|issue:6880", + "issue:7066|issue:8609", + "issue:10121|issue:9611", + "issue:2800|issue:7333", + "issue:4149|issue:6570", + "issue:5984|issue:6297", + "issue:11104|issue:13286", + "issue:8264|issue:8880", + "issue:1811|issue:4307", + "issue:3730|issue:7165", + "issue:5153|issue:938", + "issue:5412|issue:6366", + "issue:5537|issue:9180", + "issue:5703|issue:8323", + "issue:9101|issue:9241", + "issue:5125|issue:7575", + "issue:3431|issue:4484", + "issue:4104|issue:8450" + ], + "prepared_review_unit_hash": "80bd9eda5bf9ae6cb5650e053125713ce1a21ab778832298c940d804eae2a0a4", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33770, + "estimated_input_tokens": 8443, + "estimated_eval_tokens": 17142 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All suggested pairs are superficial matches only; none look like the same underlying bug or change. The cluster is heterogeneous across unrelated pipelines, training scripts, loading paths, and hardware-specific failures.", + "confidence": 0.93, + "canonical_issue_reason": "No single issue stands out as a duplicate representative for this cluster; the items describe many different problems rather than one shared bug.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue candidate is suitable for deduplication because the cluster does not cohere around one concrete failure mode.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1643", + "right": "issue:2459", + "accept": false, + "reason": "Both mention xformers, but they are different scripts with different failures and not the same code-path bug." + }, + { + "left": "issue:6732", + "right": "issue:9756", + "accept": false, + "reason": "A documentation omission in DDPMScheduler is unrelated to a missing notebook file." + }, + { + "left": "issue:11160", + "right": "issue:11222", + "accept": false, + "reason": "WAN inference inconsistency and WAN LoRA support are different issues: bug vs feature coverage." + }, + { + "left": "issue:6154", + "right": "issue:9858", + "accept": false, + "reason": "M2 Mac SDXL LoRA training failure and KeyError 'train' are distinct failure modes in different contexts." + }, + { + "left": "issue:10594", + "right": "issue:11886", + "accept": false, + "reason": "Different Flux pipelines and different symptoms; not the same underlying defect." + }, + { + "left": "issue:1556", + "right": "issue:2495", + "accept": false, + "reason": "Both are black-image reports, but on different hardware/backends and different pipeline code paths." + }, + { + "left": "issue:4911", + "right": "issue:6880", + "accept": false, + "reason": "Loading a custom text encoder is unrelated to the Custom Diffusion retrieve.py issue." + }, + { + "left": "issue:7066", + "right": "issue:8609", + "accept": false, + "reason": "Multi-image img2img support and hd_painter/IP_adapter incompatibility are not the same bug." + }, + { + "left": "issue:10121", + "right": "issue:9611", + "accept": false, + "reason": "High-resolution FLUX generation and FLUX batching errors are different problems in different pipeline stages." + }, + { + "left": "issue:2800", + "right": "issue:7333", + "accept": false, + "reason": "DiffEdit semantic editing and image-to-video noise rectification are unrelated topics." + }, + { + "left": "issue:4149", + "right": "issue:6570", + "accept": false, + "reason": "Both are tensor mismatch reports, but they affect different pipelines with different batching logic." + }, + { + "left": "issue:5984", + "right": "issue:6297", + "accept": false, + "reason": "One is a RAM blow-up with fp16 variants; the other is a training failure on user photos." + }, + { + "left": "issue:11104", + "right": "issue:13286", + "accept": false, + "reason": "LTX offload bugs and torchao quantization support are unrelated concerns." + }, + { + "left": "issue:8264", + "right": "issue:8880", + "accept": false, + "reason": "Training stuck at 0% is not the same as an inference speed regression." + }, + { + "left": "issue:1811", + "right": "issue:4307", + "accept": false, + "reason": "Both involve from_pretrained, but one is weight-file selection and the other is local-files-only error handling." + }, + { + "left": "issue:3730", + "right": "issue:7165", + "accept": false, + "reason": "Wrong inpainting timestep and wrong dynamic-thresholding scale are distinct algorithmic bugs." + }, + { + "left": "issue:5153", + "right": "issue:938", + "accept": false, + "reason": "A FreeU feature request is unrelated to a text-to-motion model request." + }, + { + "left": "issue:5412", + "right": "issue:6366", + "accept": false, + "reason": "Checkpoint resume failure and checkpoint loading correctness overlap only loosely; they are not the same concrete defect." + }, + { + "left": "issue:5537", + "right": "issue:9180", + "accept": false, + "reason": "A broken SDXL notebook and a missing _execution_device attribute are different issues." + }, + { + "left": "issue:5703", + "right": "issue:8323", + "accept": false, + "reason": "DDIM inverse reconstruction and scheduler-file recognition are unrelated problems." + }, + { + "left": "issue:9101", + "right": "issue:9241", + "accept": false, + "reason": "An SD3 training script request is not the same as a LoRA conversion script request." + }, + { + "left": "issue:5125", + "right": "issue:7575", + "accept": false, + "reason": "XFormers CUDA kernel errors and Transformer2DModel adanorm shape errors are different code paths." + }, + { + "left": "issue:3431", + "right": "issue:4484", + "accept": false, + "reason": "Both mention poor results, but they concern different workflows and do not point to one shared bug." + }, + { + "left": "issue:4104", + "right": "issue:8450", + "accept": false, + "reason": "Black image output with invalid cast and weird noise at strength=1.0 are different inpainting failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 329, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10121", + "issue:1037", + "issue:10540", + "issue:10695", + "issue:10697", + "issue:11041", + "issue:1140", + "issue:1231", + "issue:12609", + "issue:13311", + "issue:1367", + "issue:1403", + "issue:1486", + "issue:2319", + "issue:2663", + "issue:2716", + "issue:2776", + "issue:3089", + "issue:3573", + "issue:3585", + "issue:3593", + "issue:3761", + "issue:3933", + "issue:4310", + "issue:4453", + "issue:4668", + "issue:4975", + "issue:5126", + "issue:5135", + "issue:5205", + "issue:5225", + "issue:5925", + "issue:6363", + "issue:6640", + "issue:7061", + "issue:709", + "issue:7440", + "issue:761", + "issue:7985", + "issue:835", + "issue:8503", + "issue:8898", + "issue:8960", + "issue:9178", + "issue:9225", + "issue:9539", + "issue:9610", + "issue:9677" + ], + "soft_pairs": [ + "issue:3573|issue:3593", + "issue:4975|issue:5135", + "issue:8503|issue:8960", + "issue:1231|issue:1367", + "issue:12609|issue:13311", + "issue:5126|issue:5225", + "issue:10540|issue:8898", + "issue:11041|issue:9539", + "issue:9178|issue:9677", + "issue:10121|issue:9225", + "issue:1037|issue:1140", + "issue:10695|issue:7061", + "issue:10697|issue:7440", + "issue:1403|issue:4668", + "issue:1486|issue:3089", + "issue:2319|issue:709", + "issue:2663|issue:3761", + "issue:2716|issue:3585", + "issue:2776|issue:6363", + "issue:3933|issue:7985", + "issue:4310|issue:4453", + "issue:5205|issue:6640", + "issue:5925|issue:9610", + "issue:761|issue:835" + ], + "prepared_review_unit_hash": "4573e84127cc6ec96feb38fd17aa9c05604addcbd554e112fb58488ba48a3303", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33730, + "estimated_input_tokens": 8433, + "estimated_eval_tokens": 17122 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No duplicate cluster emerges here: the items span unrelated Flux, LoRA, scheduler, training, loading, and documentation issues. All soft-similarity pairs were rejected because they describe different concrete failures or code paths.", + "confidence": 0.96, + "canonical_issue_reason": "No canonical duplicate: the set is heterogeneous, and the soft pairs only share broad subsystem vocabulary rather than the same underlying bug.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10540 is the strongest standalone bug report here: it has a clear trigger, a narrow loading code path, and an inbound reference.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3573", + "right": "issue:3593", + "accept": false, + "reason": "Both involve LoRA-adjacent pipeline failures, but one is a local upscaler class_labels error and the other is an xformers/PT 2.0 second-call failure." + }, + { + "left": "issue:4975", + "right": "issue:5135", + "accept": false, + "reason": "Both mention LoRA, but one is repeated datatype-query inefficiency and the other is image-quality degradation with xformers." + }, + { + "left": "issue:8503", + "right": "issue:8960", + "accept": false, + "reason": "Both are training-related, but SD3 gradient-checkpointing crashes and basic-example gradient accumulation not working are different bugs." + }, + { + "left": "issue:1231", + "right": "issue:1367", + "accept": false, + "reason": "Both are scheduler issues, but K-LMS in Flax and saving custom trained_betas config are unrelated code paths." + }, + { + "left": "issue:12609", + "right": "issue:13311", + "accept": false, + "reason": "WAN 2.2 NaNs in latents and Flux2 LoRA key-prefix lookup failures are distinct model/load problems." + }, + { + "left": "issue:5126", + "right": "issue:5225", + "accept": false, + "reason": "A Conv2d positional-args TypeError is unrelated to SDXL forward-pass VRAM exhaustion/Adafactor behavior." + }, + { + "left": "issue:10540", + "right": "issue:8898", + "accept": false, + "reason": "Both are loading failures, but they affect different loaders and different validation paths (Flux from_single_file vs from_pretrained subfolder resolution)." + }, + { + "left": "issue:11041", + "right": "issue:9539", + "accept": false, + "reason": "WAN offloading errors and CogVideoX float8 index_select failures are separate runtime paths and not the same bug." + }, + { + "left": "issue:9178", + "right": "issue:9677", + "accept": false, + "reason": "Flux LoRA target-module errors and keeping text encoders in fp32 are different Flux concerns, not one fixable defect." + }, + { + "left": "issue:10121", + "right": "issue:9225", + "accept": false, + "reason": "High-resolution Flux image generation and SDXL InstructPix2Pix latent-size mismatches are different failure modes." + }, + { + "left": "issue:1037", + "right": "issue:1140", + "accept": false, + "reason": "A community pipeline request and a hypernetworks feature thread are not the same underlying issue." + }, + { + "left": "issue:10695", + "right": "issue:7061", + "accept": false, + "reason": "DDIMInverseScheduler timestep math and an incorrect docstring for imagic inference are unrelated." + }, + { + "left": "issue:10697", + "right": "issue:7440", + "accept": false, + "reason": "Inconsistent instruct-pix2pix transforms and a missing Pokemon dataset are unrelated." + }, + { + "left": "issue:1403", + "right": "issue:4668", + "accept": false, + "reason": "Safety-checker image differences are not the same as Kohya-style LoRA producing weird images." + }, + { + "left": "issue:1486", + "right": "issue:3089", + "accept": false, + "reason": "Both are scheduler bugs, but prediction_type='sample' in DDIM and a DDPM scheduler bug are different code paths." + }, + { + "left": "issue:2319", + "right": "issue:709", + "accept": false, + "reason": "A typo in a pipeline loader helper is not the same as a documentation/docstring issue for forward()." + }, + { + "left": "issue:2663", + "right": "issue:3761", + "accept": false, + "reason": "Safety-checker safetensors loading and loading two community pipelines in one process are different loading failures." + }, + { + "left": "issue:2716", + "right": "issue:3585", + "accept": false, + "reason": "A generic checkpoint-loading question and a LoRA-synthesis failure are not the same bug." + }, + { + "left": "issue:2776", + "right": "issue:6363", + "accept": false, + "reason": "DreamBooth/DeepSpeed version compatibility and FP16 gradient unscale errors are distinct training issues." + }, + { + "left": "issue:3933", + "right": "issue:7985", + "accept": false, + "reason": "Graph compile breaking on logging.info and IPAdapter not supporting torch.compile are different compile-related problems." + }, + { + "left": "issue:4310", + "right": "issue:4453", + "accept": false, + "reason": "SDXL staircase artifacts and SDXL LoRA conversion to safetensors are unrelated." + }, + { + "left": "issue:5205", + "right": "issue:6640", + "accept": false, + "reason": "Repaint+ControlNet with LoRA/text inversion is not the same as adding LoRA support to Unet3DConditional." + }, + { + "left": "issue:5925", + "right": "issue:9610", + "accept": false, + "reason": "ZipLora multi-LoRA inference and adding load_lora_weights to SD3 img2img are separate feature requests." + }, + { + "left": "issue:761", + "right": "issue:835", + "accept": false, + "reason": "DreamBooth 8bit Adam training failure and numpy_to_pil failing on flax output are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 330, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10209", + "issue:1062", + "issue:10795", + "issue:11083", + "issue:11144", + "issue:1188", + "issue:12047", + "issue:12085", + "issue:12096", + "issue:13274", + "issue:2276", + "issue:2560", + "issue:2803", + "issue:3073", + "issue:319", + "issue:3347", + "issue:3593", + "issue:3672", + "issue:4014", + "issue:4332", + "issue:457", + "issue:4593", + "issue:5046", + "issue:5226", + "issue:5516", + "issue:579", + "issue:5967", + "issue:6112", + "issue:6535", + "issue:6574", + "issue:7009", + "issue:7168", + "issue:761", + "issue:7708", + "issue:7766", + "issue:785", + "issue:801", + "issue:8588", + "issue:8744", + "issue:8885", + "issue:9044", + "issue:9171", + "issue:9178", + "issue:9439", + "issue:9539", + "issue:964", + "issue:9717", + "issue:9813" + ], + "soft_pairs": [ + "issue:4593|issue:8885", + "issue:9178|issue:9439", + "issue:9539|issue:9717", + "issue:1188|issue:319", + "issue:2276|issue:3593", + "issue:2560|issue:3347", + "issue:3073|issue:5046", + "issue:3672|issue:785", + "issue:5226|issue:5516", + "issue:7766|issue:9813", + "issue:11144|issue:9171", + "issue:2803|issue:579", + "issue:4332|issue:7168", + "issue:5967|issue:6112", + "issue:7708|issue:8744", + "issue:801|issue:964", + "issue:1062|issue:761", + "issue:6535|issue:6574", + "issue:4014|issue:457", + "issue:12047|issue:12085", + "issue:13274|issue:9044", + "issue:10795|issue:12096", + "issue:10209|issue:7009", + "issue:11083|issue:8588" + ], + "prepared_review_unit_hash": "86f624beb1d0c1136ed41a3140c937e521fa596862399f99ded638b5db0bf39c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33910, + "estimated_input_tokens": 8478, + "estimated_eval_tokens": 17212 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set; it groups many unrelated issues that only share broad diffusion/model-loading themes. All soft edges are superficial topical similarities, not the same underlying bug.", + "confidence": 0.94, + "canonical_issue_reason": "Issue 10795 is the clearest, most detailed bug report in the set, with a specific failure mode (`torch.compile` + GGUF + `from_single_file`) and substantial reproduction context.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10795 is the strongest anchor issue overall because it is concrete, well-scoped, and technically explicit; the rest are mostly separate model/pipeline-specific reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4593", + "right": "issue:8885", + "accept": false, + "reason": "Both involve LoRA-related loading issues, but one is about an Automatic1111 rank mismatch and the other about installing `clip-retrieval` and modifier tokens in a custom diffusion example; different failures." + }, + { + "left": "issue:9178", + "right": "issue:9439", + "accept": false, + "reason": "Both mention Flux/LoRA behavior, but one is a PEFT target-module training error and the other is inconsistent results from loading Flux differently; not the same code-path bug." + }, + { + "left": "issue:9539", + "right": "issue:9717", + "accept": false, + "reason": "Both are Flux/CogVideoX-era runtime problems, but one is an `index_select_cuda` float8 error in a video pipeline and the other is a Flux-dev Docker image issue; unrelated concrete failures." + }, + { + "left": "issue:1188", + "right": "issue:319", + "accept": false, + "reason": "These are different feature requests: CLIPSeg + Stable Diffusion pipeline vs VQ-Diffusion. No shared bug or change." + }, + { + "left": "issue:2276", + "right": "issue:3593", + "accept": false, + "reason": "Both touch LoRA/xformers in training contexts, but one is an install problem in a Dreambooth notebook and the other is a second-call runtime failure with LoRA under PT 2.0." + }, + { + "left": "issue:2560", + "right": "issue:3347", + "accept": false, + "reason": "Different defects: list-of-generators nondeterminism in Img2Img vs NaN images from text-prompt inference." + }, + { + "left": "issue:3073", + "right": "issue:5046", + "accept": false, + "reason": "A request to add Consistency models is not the same as a proposal for DragonDiffusion; these are distinct model initiatives." + }, + { + "left": "issue:3672", + "right": "issue:785", + "accept": false, + "reason": "Concurrent threading failure in StableDiffusionPipeline is unrelated to PNDMScheduler performance cost." + }, + { + "left": "issue:5226", + "right": "issue:5516", + "accept": false, + "reason": "Both concern LoRA compatibility in adapter-style pipelines, but one is about SDXL AdapterPipeline with `load_lora_weights` and the other about T2I adapters; different integration points and symptoms." + }, + { + "left": "issue:7766", + "right": "issue:9813", + "accept": false, + "reason": "Both involve IP-Adapter, but one is a usage question about FaceID Plus and the other is a batch-processing bug in `prepare_ip_adapter_image_embeds`; not the same issue." + }, + { + "left": "issue:11144", + "right": "issue:9171", + "accept": false, + "reason": "Flax dtype initialization and `from_single_file` v_prediction regression are separate model-loading problems with different stacks and causes." + }, + { + "left": "issue:2803", + "right": "issue:579", + "accept": false, + "reason": "WSL2 docs build failure is unrelated to missing `config.json` for Textual Inversion." + }, + { + "left": "issue:4332", + "right": "issue:7168", + "accept": false, + "reason": "Kandinsky xformers failure and IP-Adapter image-embed tensor-shape confusion are distinct issues." + }, + { + "left": "issue:5967", + "right": "issue:6112", + "accept": false, + "reason": "An announcement about Stable Diffusion Turbo is not the same as a user report that SDXL Turbo outputs noisy images." + }, + { + "left": "issue:7708", + "right": "issue:8744", + "accept": false, + "reason": "Both mention missing files / single-file loading around SDXL, but one is a missing tokenizer config and the other is a request to use `from_single_file` for advanced training; different problems." + }, + { + "left": "issue:801", + "right": "issue:964", + "accept": false, + "reason": "Attention slicing not being respected in inpaint/img2img is unrelated to the generic inpainting example not working." + }, + { + "left": "issue:1062", + "right": "issue:761", + "accept": false, + "reason": "Different DreamBooth training failures: inability to repeat paper results vs failure with 8-bit Adam optimizer." + }, + { + "left": "issue:6535", + "right": "issue:6574", + "accept": false, + "reason": "A request to change the SVD noise scheduler is not the same as a FutureWarning about expected input range in the SVD pipeline." + }, + { + "left": "issue:4014", + "right": "issue:457", + "accept": false, + "reason": "Watermark pixel artifacts in SDXL and blue artifacts on MPS are both visual artifacts, but they arise from different subsystems and error conditions." + }, + { + "left": "issue:12047", + "right": "issue:12085", + "accept": false, + "reason": "Both are Wan/GGUF-related load/fuse failures, but one is LoRA fusion on Wan2.2 GGUF and the other is a GGUF load error for WanVACETransformer3DModel; not clearly the same bug." + }, + { + "left": "issue:13274", + "right": "issue:9044", + "accept": false, + "reason": "The AMD recursion error in stable-audio-open is unrelated to a missing `diffusion_pytorch_model.bin` for SDXL." + }, + { + "left": "issue:10795", + "right": "issue:12096", + "accept": false, + "reason": "One is a `torch.compile` failure with GGUF-loaded transformer models; the other is a group-offloading incompatibility in WanVACEPipeline. Different code paths and symptoms." + }, + { + "left": "issue:10209", + "right": "issue:7009", + "accept": false, + "reason": "A CogVideoX fine-tuning error is unrelated to poor generation results from TextToVideoSDPipeline." + }, + { + "left": "issue:11083", + "right": "issue:8588", + "accept": false, + "reason": "A DDP stride-mismatch warning in diffusers runtime is unrelated to a missing SD3 conversion script file." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 331, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11389", + "issue:11569", + "issue:12120", + "issue:12437", + "issue:1614", + "issue:1750", + "issue:1823", + "issue:1857", + "issue:2179", + "issue:2272", + "issue:2416", + "issue:2578", + "issue:2596", + "issue:2761", + "issue:2803", + "issue:2871", + "issue:3097", + "issue:3455", + "issue:3540", + "issue:3565", + "issue:3967", + "issue:4171", + "issue:447", + "issue:4496", + "issue:4578", + "issue:4708", + "issue:4841", + "issue:5138", + "issue:5300", + "issue:5619", + "issue:5645", + "issue:5661", + "issue:5977", + "issue:6196", + "issue:6275", + "issue:6323", + "issue:6336", + "issue:6958", + "issue:7147", + "issue:7378", + "issue:776", + "issue:7889", + "issue:7985", + "issue:9034", + "issue:9336", + "issue:9350", + "issue:9495" + ], + "soft_pairs": [ + "issue:11389|issue:12437", + "issue:11569|issue:12120", + "issue:1614|issue:2179", + "issue:1823|issue:2871", + "issue:1857|issue:776", + "issue:2416|issue:4841", + "issue:2596|issue:2761", + "issue:2803|issue:7147", + "issue:3097|issue:3540", + "issue:3455|issue:5138", + "issue:3565|issue:7889", + "issue:3967|issue:4578", + "issue:4171|issue:5300", + "issue:447|issue:4496", + "issue:4708|issue:5300", + "issue:5977|issue:6958", + "issue:6196|issue:9495", + "issue:7985|issue:9336", + "issue:6336|issue:7378", + "issue:5619|issue:9350", + "issue:1750|issue:2578", + "issue:5645|issue:6275", + "issue:2272|issue:6323", + "issue:5661|issue:9034" + ], + "prepared_review_unit_hash": "7ae2ebcb934ca0ff4c849b5a3735ba7e75c5070b273949648e84369a89ce911d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32961, + "estimated_input_tokens": 8241, + "estimated_eval_tokens": 16738 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is over-broad: the items cover many unrelated bugs, feature requests, docs issues, and model-support questions. None of the soft pairs describe the same underlying change or defect closely enough to merge.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11389", + "right": "issue:12437", + "accept": false, + "reason": "Scheduler refactor request vs OmniSVG support feature request; unrelated subsystems and goals." + }, + { + "left": "issue:11569", + "right": "issue:12120", + "accept": false, + "reason": "Both mention LTXV/FLUX models, but one asks for a repo release and the other asks how to train LoRA; different issues." + }, + { + "left": "issue:1614", + "right": "issue:2179", + "accept": false, + "reason": "Both report black images, but one is Stable Diffusion 2.1 autocast and the other is FlaxDDPMScheduler; different stacks and likely different bugs." + }, + { + "left": "issue:1823", + "right": "issue:2871", + "accept": false, + "reason": "Swapped comments in depth2img is a docs/text issue, while latent output handling is a pipeline behavior bug." + }, + { + "left": "issue:1857", + "right": "issue:776", + "accept": false, + "reason": "UnCLIP testing coverage concern vs batch-size>1 img2img failure; not the same concrete bug." + }, + { + "left": "issue:2416", + "right": "issue:4841", + "accept": false, + "reason": "xformers training slowdown and ControlNet image-size issue are distinct performance/behavior problems." + }, + { + "left": "issue:2596", + "right": "issue:2761", + "accept": false, + "reason": "Missing `load_image` docs vs missing documentation for `extra_in_channels`; both docs-related but different symbols and fixes." + }, + { + "left": "issue:2803", + "right": "issue:7147", + "accept": false, + "reason": "WSL2 docs build failure vs missing import for `StableCascadeDecoderPipeline`; unrelated problems." + }, + { + "left": "issue:3097", + "right": "issue:3540", + "accept": false, + "reason": "`load_textual_inversion` no-op vs `prompt_embeds`/`negative_prompt_embeds` unsupported in TextToVideoZero; different code paths." + }, + { + "left": "issue:3455", + "right": "issue:5138", + "accept": false, + "reason": "Instruct-pix2pix training behavior vs moving `compute_snr` to `training_utils.py`; unrelated training changes." + }, + { + "left": "issue:3565", + "right": "issue:7889", + "accept": false, + "reason": "Text-to-image OOM during example training vs single-file checkpoint loader bugs; not the same failure." + }, + { + "left": "issue:3967", + "right": "issue:4578", + "accept": false, + "reason": "SDXL branch regression vs a docs issue about VAE usage; no shared underlying bug." + }, + { + "left": "issue:4171", + "right": "issue:5300", + "accept": false, + "reason": "Reference page rendering issue vs unexpected internet connections; unrelated documentation/runtime concerns." + }, + { + "left": "issue:447", + "right": "issue:4496", + "accept": false, + "reason": "Prompt truncation detection/return vs prompt fusion feature request; related to prompts but not the same change." + }, + { + "left": "issue:4708", + "right": "issue:5300", + "accept": false, + "reason": "`diffusers.utils` import error vs internet connectivity behavior; distinct issues." + }, + { + "left": "issue:5977", + "right": "issue:6958", + "accept": false, + "reason": "Saving extra `unet.unet` keys in LoRA training vs `use_linear_projection` missing in motion model mid-block; different model/training bugs." + }, + { + "left": "issue:6196", + "right": "issue:9495", + "accept": false, + "reason": "ControlNetXS Depth SDXL load error vs SDXL PAG/IPAdapter failure; both SDXL-related but different components and symptoms." + }, + { + "left": "issue:7985", + "right": "issue:9336", + "accept": false, + "reason": "Torch.compile incompatibility vs IPAdapter attention parameters requiring grad; different compatibility/gradient issues." + }, + { + "left": "issue:6336", + "right": "issue:7378", + "accept": false, + "reason": "TensorRT VAE compilation error with AutoencoderTiny vs AnimateDiff video memory usage; unrelated code paths." + }, + { + "left": "issue:5619", + "right": "issue:9350", + "accept": false, + "reason": "AutoencoderTiny/LCM img2img encoding bug vs txt_ids shape deprecation warning; both touch inputs but not the same defect." + }, + { + "left": "issue:1750", + "right": "issue:2578", + "accept": false, + "reason": "Debian VM symbol error vs editable install failure; unrelated environment/setup problems." + }, + { + "left": "issue:5645", + "right": "issue:6275", + "accept": false, + "reason": "New LCM support broken vs T2I-Adapter model coverage gap; different feature areas." + }, + { + "left": "issue:2272", + "right": "issue:6323", + "accept": false, + "reason": "ONNX conversion failure vs TensorRT guidance_scale attribute error; different pipelines and bugs." + }, + { + "left": "issue:5661", + "right": "issue:9034", + "accept": false, + "reason": "Missing `PreTrainedTokenizer` import vs extra `sentencepiece` requirement; unrelated dependency/import issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 332, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1037", + "issue:10569", + "issue:10901", + "issue:11422", + "issue:1814", + "issue:2774", + "issue:2782", + "issue:2822", + "issue:2858", + "issue:3418", + "issue:3808", + "issue:4176", + "issue:4194", + "issue:4222", + "issue:4297", + "issue:4375", + "issue:4578", + "issue:4756", + "issue:4888", + "issue:4912", + "issue:5233", + "issue:5339", + "issue:5447", + "issue:5449", + "issue:5510", + "issue:5824", + "issue:5924", + "issue:6054", + "issue:6218", + "issue:6354", + "issue:6791", + "issue:699", + "issue:7168", + "issue:7421", + "issue:7519", + "issue:7629", + "issue:7770", + "issue:7848", + "issue:7946", + "issue:8518", + "issue:8589", + "issue:8609", + "issue:8879", + "issue:9309", + "issue:9398", + "issue:9511", + "issue:9813", + "issue:988" + ], + "soft_pairs": [ + "issue:9309|issue:9398", + "issue:7168|issue:9813", + "issue:4375|issue:8518", + "issue:2774|issue:4888", + "issue:4297|issue:6218", + "issue:5233|issue:5824", + "issue:5447|issue:7848", + "issue:7629|issue:8609", + "issue:6054|issue:8879", + "issue:1037|issue:699", + "issue:4176|issue:4912", + "issue:5510|issue:5924", + "issue:7421|issue:7946", + "issue:11422|issue:8589", + "issue:5449|issue:6791", + "issue:10569|issue:10901", + "issue:1814|issue:2782", + "issue:2822|issue:988", + "issue:2858|issue:4222", + "issue:3418|issue:4756", + "issue:3808|issue:7770", + "issue:4194|issue:5339", + "issue:4578|issue:7519", + "issue:6354|issue:9511" + ], + "prepared_review_unit_hash": "616f1fc2fc127ee84f260c7c1805a587f8f20b83febc16b5e25982685340f1a2", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33933, + "estimated_input_tokens": 8484, + "estimated_eval_tokens": 17224 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a grab-bag of unrelated Diffusers issues and feature requests across different models, pipelines, schedulers, and training paths. None of the suggested soft pairs look like the same underlying bug or change, so all soft edges should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue fits: the items span unrelated feature requests and bugs rather than a duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue is suitable because there is no coherent duplicate group to canonicalize.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9309", + "right": "issue:9398", + "accept": false, + "reason": "Different concrete failures: FluxControlNetPipeline bug on FLUX schnell vs a missing pooled_projection argument in CombinedTimestepGuidanceTextProjEmbeddings." + }, + { + "left": "issue:7168", + "right": "issue:9813", + "accept": false, + "reason": "Both involve IP-Adapter embeddings, but one is a 4D tensor shape problem and the other is feature mixing during batch processing; not the same bug." + }, + { + "left": "issue:4375", + "right": "issue:8518", + "accept": false, + "reason": "Both mention torch.compile, but one is a generic inference crash and the other is a specific SD3 dynamo unsupported call_function error." + }, + { + "left": "issue:2774", + "right": "issue:4888", + "accept": false, + "reason": "ControlNet safetensors conversion is unrelated to offline loading of local safetensors." + }, + { + "left": "issue:4297", + "right": "issue:6218", + "accept": false, + "reason": "Both are batching-related, but one reports img2img artifacts while the other is batched seed handling in ControlNet/img2img." + }, + { + "left": "issue:5233", + "right": "issue:5824", + "accept": false, + "reason": "A wrong callback step value is unrelated to the text_encoder_projection_dim default in get_add_time_ids()." + }, + { + "left": "issue:5447", + "right": "issue:7848", + "accept": false, + "reason": "Denoising_start with 2nd-order schedulers is a different bug from lpw_stable_diffusion_xl decoding issues." + }, + { + "left": "issue:7629", + "right": "issue:8609", + "accept": false, + "reason": "PyTorch 1.13.1 VAE OOM is unrelated to hd_painter IP-Adapter integration failure." + }, + { + "left": "issue:6054", + "right": "issue:8879", + "accept": false, + "reason": "EulerDiscreteScheduler torch.from_numpy misuse and torch.compile+cudagraph failure in SDXL are different code-path problems." + }, + { + "left": "issue:1037", + "right": "issue:699", + "accept": false, + "reason": "These are separate feature requests: adding Stable Diffusion Telephone vs adding negative prompt support." + }, + { + "left": "issue:4176", + "right": "issue:4912", + "accept": false, + "reason": "Mandatory authentication and offline CivitAI checkpoint conversion are unrelated requests." + }, + { + "left": "issue:5510", + "right": "issue:5924", + "accept": false, + "reason": "One is a dtype mismatch in SDXL InstructPix2Pix; the other is a VAE memory spike." + }, + { + "left": "issue:7421", + "right": "issue:7946", + "accept": false, + "reason": "Seed handling in StableDiffusionXLKDiffusionPipeline is unrelated to custom_pipeline caching." + }, + { + "left": "issue:11422", + "right": "issue:8589", + "accept": false, + "reason": "Both are training bugs, but on different models and paths: HiDream LoRA validation prompt crash vs SD3 DreamBooth prior preservation." + }, + { + "left": "issue:5449", + "right": "issue:6791", + "accept": false, + "reason": "Pickling a local preprocess function is a different training failure from train_text_to_image_sdxl not running." + }, + { + "left": "issue:10569", + "right": "issue:10901", + "accept": false, + "reason": "Same model family, but different bugs: CPU memory consumption vs wrong video generation with negative_prompt." + }, + { + "left": "issue:1814", + "right": "issue:2782", + "accept": false, + "reason": "Changing CLIP model support is unrelated to a sequential model offloading error." + }, + { + "left": "issue:2822", + "right": "issue:988", + "accept": false, + "reason": "Slow ControlNet convergence and FSDP example training support are unrelated training concerns." + }, + { + "left": "issue:2858", + "right": "issue:4222", + "accept": false, + "reason": "Seeding an image in unCLIP img2img is unrelated to training on low-resolution datasets." + }, + { + "left": "issue:3418", + "right": "issue:4756", + "accept": false, + "reason": "Adding text-encoder training in LoRA script and adding style/example support for SDXL DreamBooth are different changes." + }, + { + "left": "issue:3808", + "right": "issue:7770", + "accept": false, + "reason": "DeepFloyd IF stage-2 training failure is unrelated to model/LoRA tensor shape mismatch when loading." + }, + { + "left": "issue:4194", + "right": "issue:5339", + "accept": false, + "reason": "A docs bug about VAE usage is unrelated to loading a local safetensors file." + }, + { + "left": "issue:4578", + "right": "issue:7519", + "accept": false, + "reason": "Documentation wording about VAE is unrelated to xFormersAttnProcessor ignoring cross_attention_kwargs['scale']." + }, + { + "left": "issue:6354", + "right": "issue:9511", + "accept": false, + "reason": "LoRA support for ControlNet is a feature request; multi-ControlNet batching for inpaint is a different feature request." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 333, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:10194", + "issue:10427", + "issue:10512", + "issue:1084", + "issue:11109", + "issue:11144", + "issue:12308", + "issue:12505", + "issue:12695", + "issue:2228", + "issue:2459", + "issue:2722", + "issue:2783", + "issue:2785", + "issue:3570", + "issue:3740", + "issue:4236", + "issue:4314", + "issue:4615", + "issue:4675", + "issue:4922", + "issue:4969", + "issue:5110", + "issue:5628", + "issue:5963", + "issue:6176", + "issue:6256", + "issue:6393", + "issue:6560", + "issue:6593", + "issue:7053", + "issue:7312", + "issue:7982", + "issue:843", + "issue:8451", + "issue:8801", + "issue:8834", + "issue:8871", + "issue:9038", + "issue:9052", + "issue:9332", + "issue:9628", + "issue:9648", + "issue:9804", + "issue:9930", + "issue:9941", + "issue:9958" + ], + "soft_pairs": [ + "issue:9052|issue:9332", + "issue:8871|issue:9930", + "issue:5110|issue:6593", + "issue:6176|issue:9941", + "issue:10512|issue:11109", + "issue:2783|issue:4675", + "issue:4922|issue:8834", + "issue:4969|issue:8451", + "issue:7053|issue:9038", + "issue:7312|issue:9958", + "issue:2228|issue:5628", + "issue:5963|issue:9648", + "issue:4314|issue:6393", + "issue:11144|issue:7982", + "issue:2459|issue:2722", + "issue:6560|issue:9628", + "issue:10100|issue:8801", + "issue:10194|issue:12695", + "issue:10427|issue:12308", + "issue:1084|issue:843", + "issue:12505|issue:9804", + "issue:2785|issue:6256", + "issue:3570|issue:4615", + "issue:3740|issue:4236" + ], + "prepared_review_unit_hash": "06b0aaddaa1769cee1493c4750200edc6d792fbda253ef155c8f87287b1d0c61", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33586, + "estimated_input_tokens": 8397, + "estimated_eval_tokens": 17050 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No duplicate cluster here: the items only share broad topical language (support, loading, LoRA, pipelines) but describe different concrete bugs and feature requests. All soft-edge pairs should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue: these are disparate support requests and bugs across different models, pipelines, and subsystems.", + "canonical_pr_reason": "No PRs are present in this cluster.", + "best_issue_reason": "If a representative issue is needed, issue:9332 is the strongest broad bug report, but the set is too heterogeneous for a true global representative.", + "best_pr_reason": "No PRs are present, so there is no best PR candidate.", + "soft_edge_verdicts": [ + { + "left": "issue:9052", + "right": "issue:9332", + "accept": false, + "reason": "Both concern model loading, but one is from_single_file checkpoint parsing and the other is from_pretrained loading the wrong weights; different bugs." + }, + { + "left": "issue:8871", + "right": "issue:9930", + "accept": false, + "reason": "LoRA training FP16 unscale error is unrelated to PAG adaptive scale behavior." + }, + { + "left": "issue:5110", + "right": "issue:6593", + "accept": false, + "reason": "HFValidationError on repo IDs is unrelated to enabling load_lora_weights on SDXL img2img." + }, + { + "left": "issue:6176", + "right": "issue:9941", + "accept": false, + "reason": "Dreambooth LoRA weight loading and a Colab runtime error are different failure modes." + }, + { + "left": "issue:10512", + "right": "issue:11109", + "accept": false, + "reason": "Flux LoRA loading and depth LoRA transformer-layer mismatch are distinct issues in different model paths." + }, + { + "left": "issue:2783", + "right": "issue:4675", + "accept": false, + "reason": "ControlNet img2img/inpainting pipeline creation is not the same as SDXL reference-only support." + }, + { + "left": "issue:4922", + "right": "issue:8834", + "accept": false, + "reason": "Android demo request and SD3 ControlNet training code release are unrelated feature requests." + }, + { + "left": "issue:4969", + "right": "issue:8451", + "accept": false, + "reason": "CrossAttention import error is not the same as missing training details / SD1.x script documentation." + }, + { + "left": "issue:7053", + "right": "issue:9038", + "accept": false, + "reason": "UNet3D class conditioning support and Flax prompt weighting are different feature gaps." + }, + { + "left": "issue:7312", + "right": "issue:9958", + "accept": false, + "reason": "AlignProp direct reward finetuning and AutoencoderKLTemporalDecoder tiling are unrelated enhancements." + }, + { + "left": "issue:2228", + "right": "issue:5628", + "accept": false, + "reason": "GPU loading of StableDiffusionPipeline and LMS scheduler denoising offset are different bugs." + }, + { + "left": "issue:5963", + "right": "issue:9648", + "accept": false, + "reason": "Kandinsky 3.0 embeds-vs-prompts failure is unrelated to VAE tiling memory overflow." + }, + { + "left": "issue:4314", + "right": "issue:6393", + "accept": false, + "reason": "Interrupted download write-protection and private HF link loading are separate download-related problems." + }, + { + "left": "issue:11144", + "right": "issue:7982", + "accept": false, + "reason": "Flax dtype initialization and from_pipe with MultiControlNetModel are unrelated code paths." + }, + { + "left": "issue:2459", + "right": "issue:2722", + "accept": false, + "reason": "xformers attention in a training script and ControlNet conversion mismatch are not the same bug." + }, + { + "left": "issue:6560", + "right": "issue:9628", + "accept": false, + "reason": "LoRA shape regression and SD3 LoRA FP16 unscale error are different training failures." + }, + { + "left": "issue:10100", + "right": "issue:8801", + "accept": false, + "reason": "ConsisID support and Kolors support are separate model-feature requests." + }, + { + "left": "issue:10194", + "right": "issue:12695", + "accept": false, + "reason": "Flux attention masking and Hunyuan v1.5 support are different feature requests." + }, + { + "left": "issue:10427", + "right": "issue:12308", + "accept": false, + "reason": "AuraFlow GGUF loading and flash-attn on non-Hopper GPUs are unrelated support issues." + }, + { + "left": "issue:1084", + "right": "issue:843", + "accept": false, + "reason": "Documentation about pipeline weight reuse and prompt syntax docs are distinct documentation topics." + }, + { + "left": "issue:12505", + "right": "issue:9804", + "accept": false, + "reason": "tgate img2img error and local SDXL ControlNet loading failure are different bugs." + }, + { + "left": "issue:2785", + "right": "issue:6256", + "accept": false, + "reason": "M1/M2 text-to-video support and callback_on_step_begin are separate API/feature requests." + }, + { + "left": "issue:3570", + "right": "issue:4615", + "accept": false, + "reason": "Disabling checkpoint downloads and a ControlNet import error are unrelated." + }, + { + "left": "issue:3740", + "right": "issue:4236", + "accept": false, + "reason": "Accelerate sequential device_map conversion and SDXL refiner text encoder registration are different issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 334, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10381", + "issue:10446", + "issue:10893", + "issue:10954", + "issue:11032", + "issue:11644", + "issue:11700", + "issue:11828", + "issue:11830", + "issue:12437", + "issue:13105", + "issue:13203", + "issue:1407", + "issue:1546", + "issue:1566", + "issue:1677", + "issue:2560", + "issue:2659", + "issue:2716", + "issue:2772", + "issue:3296", + "issue:3381", + "issue:3428", + "issue:3551", + "issue:4073", + "issue:4349", + "issue:4446", + "issue:4484", + "issue:4488", + "issue:4977", + "issue:5325", + "issue:5399", + "issue:5485", + "issue:5628", + "issue:5693", + "issue:5710", + "issue:6154", + "issue:746", + "issue:7498", + "issue:7548", + "issue:8228", + "issue:8405", + "issue:8450", + "issue:8514", + "issue:8832", + "issue:9223", + "issue:9476" + ], + "soft_pairs": [ + "issue:1566|issue:3296", + "issue:2772|issue:4349", + "issue:3381|issue:5399", + "issue:10954|issue:13203", + "issue:11644|issue:8514", + "issue:11830|issue:13105", + "issue:1407|issue:1546", + "issue:2716|issue:5693", + "issue:4073|issue:8405", + "issue:6154|issue:7498", + "issue:1677|issue:5325", + "issue:2560|issue:3551", + "issue:4488|issue:4977", + "issue:5628|issue:5710", + "issue:7548|issue:8832", + "issue:3428|issue:746", + "issue:4446|issue:8228", + "issue:11828|issue:9223", + "issue:2659|issue:5485", + "issue:4484|issue:8450", + "issue:10381|issue:10446", + "issue:10893|issue:11700", + "issue:11032|issue:12437", + "issue:11828|issue:9476" + ], + "prepared_review_unit_hash": "af5030a4cf8950addcc323a948805cbe50097a68d54c18568fba7dbc834c08e3", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33577, + "estimated_input_tokens": 8395, + "estimated_eval_tokens": 17046 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are a loose set of mostly unrelated model-loading, inference, LoRA, ControlNet, scheduler, and training issues. None of the soft pairs look like the same concrete bug or change, so I would not merge any of them as duplicates.", + "confidence": 0.89, + "canonical_issue_reason": "No single canonical issue stands out as a true duplicate target; the set is too heterogeneous. If one representative is needed, issue 10381 is the broadest Flux/quantization/LoRA inference-error report, but it does not subsume the others.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10381 is the most broadly representative of the main theme in this cluster: inference-time failures around Flux, quantization, and LoRA. It is still not a strong duplicate hub for the rest of the items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1566", + "right": "issue:3296", + "accept": false, + "reason": "Both mention checkpoint/save-load problems, but one is Dreambooth fp16 output after saving and the other is text_encoder checkpoint loading. Different code paths and failure modes." + }, + { + "left": "issue:2772", + "right": "issue:4349", + "accept": false, + "reason": "Local dataset validation in train_controlnet.py is unrelated to an UpscalePipeline failure when text_encoder is absent despite prompt_embeds being provided." + }, + { + "left": "issue:3381", + "right": "issue:5399", + "accept": false, + "reason": "Both are inference quality/type issues, but the symptoms and triggers differ: discolored batch inpainting output vs a matmul dtype mismatch with a custom inpainting model." + }, + { + "left": "issue:10954", + "right": "issue:13203", + "accept": false, + "reason": "Both involve LoRA, but they are different model families and problems: FLUX1.dev LoRA load failure vs Zimage LoRA support issue." + }, + { + "left": "issue:11644", + "right": "issue:8514", + "accept": false, + "reason": "Init-from-pretrained failure for LTXConditionPipeline is not the same as an EMAModel-related parallel fine-tuning error in InstructP2P." + }, + { + "left": "issue:11830", + "right": "issue:13105", + "accept": false, + "reason": "Both produce bad outputs, but the underlying reports are different models and symptoms: pure black output with fp16 vs noisy output on Wan2.1." + }, + { + "left": "issue:1407", + "right": "issue:1546", + "accept": false, + "reason": "Missing feature_extractor in an ONNX pipeline after a PR is a different bug from truncation warning handling breaking batched StableDiffusionPipeline inputs." + }, + { + "left": "issue:2716", + "right": "issue:5693", + "accept": false, + "reason": "General checkpoint-loading question and VAE load error are not the same underlying issue." + }, + { + "left": "issue:4073", + "right": "issue:8405", + "accept": false, + "reason": "Safety checker astype attribute error is unrelated to tensor-size errors when using multiple ControlNets." + }, + { + "left": "issue:6154", + "right": "issue:7498", + "accept": false, + "reason": "Both are Mac training problems, but one is SDXL LoRA training on M2 and the other is a Dreambooth issue on M3 Max; not the same bug." + }, + { + "left": "issue:1677", + "right": "issue:5325", + "accept": false, + "reason": "Wrong data type when calling StableDiffusionPipeline is unrelated to distributed packaging type information." + }, + { + "left": "issue:2560", + "right": "issue:3551", + "accept": false, + "reason": "Non-deterministic img2img outputs with a list of generators are a different issue from LoRA disabling xFormers." + }, + { + "left": "issue:4488", + "right": "issue:4977", + "accept": false, + "reason": "SDXL checkpoint loading without pipeline_class and checkpoint cleanup in train_unconditional.py are unrelated." + }, + { + "left": "issue:5628", + "right": "issue:5710", + "accept": false, + "reason": "Both touch schedulers, but one is denoising_start/end offset behavior with Karras sigmas and the other is missing self.sigmas during initialization." + }, + { + "left": "issue:7548", + "right": "issue:8832", + "accept": false, + "reason": "AnimateDiff flicker and a crash on pipe(prompt).images[0] are different symptoms with no clear shared code-path." + }, + { + "left": "issue:3428", + "right": "issue:746", + "accept": false, + "reason": "Unexpected img2img output changes and ONNX revision loading failure do not describe the same bug." + }, + { + "left": "issue:4446", + "right": "issue:8228", + "accept": false, + "reason": "Custom text_encoder support in from_single_file and a CLIPTextModel load regression are related areas but not the same concrete issue." + }, + { + "left": "issue:11828", + "right": "issue:9223", + "accept": false, + "reason": "A float-type requirement for ControlNet scaling parameters is unrelated to a pyarrow dependency conflict." + }, + { + "left": "issue:2659", + "right": "issue:5485", + "accept": false, + "reason": "Batch-size-dependent output variation and slow ControlNet batch inference are different problems." + }, + { + "left": "issue:4484", + "right": "issue:8450", + "accept": false, + "reason": "SDXL Kohya LoRA weird results and SDXL inpainting noise at strength 1.0 are both quality issues, but they are not the same underlying bug." + }, + { + "left": "issue:10381", + "right": "issue:10446", + "accept": false, + "reason": "Both mention Flux, but one is an inference/quantization/LoRA error and the other is multi-GPU/model-sharding incompatibility with FluxControlNetPipeline." + }, + { + "left": "issue:10893", + "right": "issue:11700", + "accept": false, + "reason": "Feature request for CogVideoX ControlNet integration is unrelated to adding pruna integration for loading models." + }, + { + "left": "issue:11032", + "right": "issue:12437", + "accept": false, + "reason": "TRT backend support and OmniSVG support are separate feature requests with no shared implementation bug." + }, + { + "left": "issue:11828", + "right": "issue:9476", + "accept": false, + "reason": "Both are FLUX-adjacent, but one is a ControlNet parameter type issue and the other is a training-time dtype mismatch in train_dreambooth_lora_flux." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 335, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10428", + "issue:11092", + "issue:11872", + "issue:12574", + "issue:1655", + "issue:1842", + "issue:1851", + "issue:1896", + "issue:2410", + "issue:2444", + "issue:2784", + "issue:3175", + "issue:3431", + "issue:3455", + "issue:3679", + "issue:3944", + "issue:3974", + "issue:4232", + "issue:4405", + "issue:4649", + "issue:4672", + "issue:4803", + "issue:4972", + "issue:5009", + "issue:5372", + "issue:5392", + "issue:5510", + "issue:5518", + "issue:557", + "issue:5926", + "issue:6050", + "issue:617", + "issue:6335", + "issue:6441", + "issue:6685", + "issue:713", + "issue:7177", + "issue:7210", + "issue:7456", + "issue:7658", + "issue:8434", + "issue:8507", + "issue:8708", + "issue:9067", + "issue:9398", + "issue:9933", + "issue:9972" + ], + "soft_pairs": [ + "issue:1655|issue:617", + "issue:2410|issue:2444", + "issue:2784|issue:3974", + "issue:3455|issue:4405", + "issue:3679|issue:5926", + "issue:3944|issue:4672", + "issue:4232|issue:5392", + "issue:4649|issue:5510", + "issue:4803|issue:6050", + "issue:5518|issue:9067", + "issue:6335|issue:9933", + "issue:6441|issue:7177", + "issue:6685|issue:8708", + "issue:7456|issue:9398", + "issue:7658|issue:8434", + "issue:8507|issue:9972", + "issue:1896|issue:4972", + "issue:2444|issue:713", + "issue:3431|issue:557", + "issue:1842|issue:5009", + "issue:11872|issue:12574", + "issue:1851|issue:3175", + "issue:5372|issue:7210", + "issue:10428|issue:11092" + ], + "prepared_review_unit_hash": "90fba71dfabc0e60100b977b0755204603ff43ee3c37d6b7bdb4f26803989758", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33417, + "estimated_input_tokens": 8355, + "estimated_eval_tokens": 16966 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft pairs are mostly unrelated issues across different pipelines, errors, and features. None look like true duplicates or the same underlying fix/change, so all candidate merges should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No canonical issue stands out: the items span many distinct bugs and feature requests, so there is no single issue that subsumes the rest.", + "canonical_pr_reason": "No PRs are present in this cluster.", + "best_issue_reason": "No issue is a good global representative because the candidate pairs are not one coherent problem set.", + "best_pr_reason": "No PRs are present, so there is no best PR candidate.", + "soft_edge_verdicts": [ + { + "left": "issue:1655", + "right": "issue:617", + "accept": false, + "reason": "Different problems: one is pipeline initialization, the other is an NNPACK hardware warning in AutoencoderKL." + }, + { + "left": "issue:2410", + "right": "issue:2444", + "accept": false, + "reason": "Different training-script failures with different symptoms and scripts; not the same bug." + }, + { + "left": "issue:2784", + "right": "issue:3974", + "accept": false, + "reason": "A feature request for text2video Dreambooth is unrelated to ControlNet safetensors support." + }, + { + "left": "issue:3455", + "right": "issue:4405", + "accept": false, + "reason": "Training instruct-pix2pix and creating an SDXL textual inversion script are separate requests." + }, + { + "left": "issue:3679", + "right": "issue:5926", + "accept": false, + "reason": "New text2video models and Kandinsky 3.0 are different model announcements, not duplicates." + }, + { + "left": "issue:3944", + "right": "issue:4672", + "accept": false, + "reason": "Both mention LoRA, but one is about network rank customization and the other about reducing VRAM; different changes." + }, + { + "left": "issue:4232", + "right": "issue:5392", + "accept": false, + "reason": "Instruct-pix2pix with controlnet condition is unrelated to unconditional latent diffusion training." + }, + { + "left": "issue:4649", + "right": "issue:5510", + "accept": false, + "reason": "Different runtime errors in different SDXL pipelines and code paths." + }, + { + "left": "issue:4803", + "right": "issue:6050", + "accept": false, + "reason": "A missing requirements-file error is not the same as a pip install subprocess failure." + }, + { + "left": "issue:5518", + "right": "issue:9067", + "accept": false, + "reason": "A LoRA model attribute error and a missing module import are unrelated failures." + }, + { + "left": "issue:6335", + "right": "issue:9933", + "accept": false, + "reason": "Both concern image-size-related parameters, but they affect different pipelines and have different API gaps; not the same concrete bug." + }, + { + "left": "issue:6441", + "right": "issue:7177", + "accept": false, + "reason": "A Colab from_pretrained issue is not the same as a StableCascadeDecoderPipeline.from_pretrained error." + }, + { + "left": "issue:6685", + "right": "issue:8708", + "accept": false, + "reason": "Output directory path handling and a missing SD3 shift_factor are unrelated training-example issues." + }, + { + "left": "issue:7456", + "right": "issue:9398", + "accept": false, + "reason": "A missing raise statement is unrelated to a missing pooled_projection argument in a model forward method." + }, + { + "left": "issue:7658", + "right": "issue:8434", + "accept": false, + "reason": "General multiple-conditioning support is broader than adding multiple control nets; not the same change." + }, + { + "left": "issue:8507", + "right": "issue:9972", + "accept": false, + "reason": "An SD3 Dreambooth training failure is unrelated to a CogX MacOS buffer allocation issue." + }, + { + "left": "issue:1896", + "right": "issue:4972", + "accept": false, + "reason": "A CLIP-guided SD size-type error and a Wuerstchen example failure are different bugs." + }, + { + "left": "issue:2444", + "right": "issue:713", + "accept": false, + "reason": "Both are generic training errors, but they refer to different scripts and failure modes." + }, + { + "left": "issue:3431", + "right": "issue:557", + "accept": false, + "reason": "Poor ControlNet inpainting results are not the same as DDIM quality comparison results." + }, + { + "left": "issue:1842", + "right": "issue:5009", + "accept": false, + "reason": "Unexpected eta keyword argument and a Wuerstchen error are different issues." + }, + { + "left": "issue:11872", + "right": "issue:12574", + "accept": false, + "reason": "CPU/GPU offloading inefficiency is unrelated to missing VACE control-argument handling." + }, + { + "left": "issue:1851", + "right": "issue:3175", + "accept": false, + "reason": "Dreambooth multi-GPU slowness and multi-face training are different topics." + }, + { + "left": "issue:5372", + "right": "issue:7210", + "accept": false, + "reason": "A safety_checker usage question is unrelated to an accelerate named_parameters attribute error." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 336, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10039", + "issue:10186", + "issue:10350", + "issue:1101", + "issue:11424", + "issue:1158", + "issue:11581", + "issue:11833", + "issue:12436", + "issue:12610", + "issue:13140", + "issue:13298", + "issue:1695", + "issue:1807", + "issue:2507", + "issue:2554", + "issue:2799", + "issue:341", + "issue:3740", + "issue:3887", + "issue:3967", + "issue:4356", + "issue:4598", + "issue:4789", + "issue:488", + "issue:5152", + "issue:5523", + "issue:5570", + "issue:5951", + "issue:5977", + "issue:6068", + "issue:6158", + "issue:6196", + "issue:6392", + "issue:6869", + "issue:7312", + "issue:782", + "issue:8477", + "issue:8551", + "issue:8707", + "issue:8708", + "issue:8805", + "issue:8826", + "issue:8958", + "issue:8994", + "issue:9052", + "issue:9602", + "issue:9856" + ], + "soft_pairs": [ + "issue:2799|issue:488", + "issue:1158|issue:5523", + "issue:4789|issue:782", + "issue:12610|issue:13298", + "issue:6068|issue:6196", + "issue:2554|issue:3740", + "issue:5152|issue:6869", + "issue:10186|issue:11581", + "issue:1807|issue:2507", + "issue:4598|issue:5570", + "issue:1695|issue:5951", + "issue:3887|issue:3967", + "issue:5977|issue:8708", + "issue:6158|issue:7312", + "issue:6392|issue:9052", + "issue:10350|issue:8551", + "issue:4356|issue:8994", + "issue:12436|issue:13140", + "issue:8477|issue:8707", + "issue:9602|issue:9856", + "issue:8826|issue:8958", + "issue:11424|issue:11833", + "issue:10039|issue:8805", + "issue:1101|issue:341" + ], + "prepared_review_unit_hash": "551d07dd268346c90480a987b1cafde8378c8e1aa90dabd21d3985c7e74393df", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34211, + "estimated_input_tokens": 8553, + "estimated_eval_tokens": 17362 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All candidate pairs look like loose topic similarity, not the same underlying bug/change. I rejected every soft edge; no reliable canonical issue/PR emerges from this set.", + "confidence": 0.23, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2799", + "right": "issue:488", + "accept": false, + "reason": "Both mention pipeline behavior, but one is checkpoint/pipeline mismatch validation and the other is grayscale image conversion." + }, + { + "left": "issue:1158", + "right": "issue:5523", + "accept": false, + "reason": "Both are flaky/test consistency themed, but one is test interference and the other is generation inconsistency; not the same bug." + }, + { + "left": "issue:4789", + "right": "issue:782", + "accept": false, + "reason": "Both concern downloads, but one is DeepFloyd IF download failures and the other is a token-auth regression for model downloads." + }, + { + "left": "issue:12610", + "right": "issue:13298", + "accept": false, + "reason": "Both involve device mismatch, but they point to different code paths and different triggering conditions." + }, + { + "left": "issue:6068", + "right": "issue:6196", + "accept": false, + "reason": "SDXL appears in both, but DDIM sampling errors and ControlNetXS loading errors are distinct issues." + }, + { + "left": "issue:2554", + "right": "issue:3740", + "accept": false, + "reason": "Both touch accelerate/device mapping, but one is an unreleased-version dependency problem and the other is legacy attention conversion under sequential device_map." + }, + { + "left": "issue:5152", + "right": "issue:6869", + "accept": false, + "reason": "W\u00fcrstchen alpha bug and video export tensor unpacking error are unrelated." + }, + { + "left": "issue:10186", + "right": "issue:11581", + "accept": false, + "reason": "Both are FLUX-related, but one is an import error for a pipeline class and the other is an IP-Adapter init signature mismatch." + }, + { + "left": "issue:1807", + "right": "issue:2507", + "accept": false, + "reason": "Both are performance complaints, but one is repeated inference slowdown and the other is safetensors load speed on GPU vs CPU." + }, + { + "left": "issue:4598", + "right": "issue:5570", + "accept": false, + "reason": "Missing-dependency error messaging and missing compute_snr symbol are different problems." + }, + { + "left": "issue:1695", + "right": "issue:5951", + "accept": false, + "reason": "Different training workflows and failure modes; deepspeed multi-GPU DreamBooth is not PixArt training." + }, + { + "left": "issue:3887", + "right": "issue:3967", + "accept": false, + "reason": "Both mention SD/SDXL behavior changes, but one is output quality difference and the other is a branch-related breakage." + }, + { + "left": "issue:5977", + "right": "issue:8708", + "accept": false, + "reason": "Training-related, but one is LoRA key saving and the other is missing SD3 VAE shift_factor in examples." + }, + { + "left": "issue:6158", + "right": "issue:7312", + "accept": false, + "reason": "Feature requests in different areas: Animatediff SDXL support vs AlignProp reward finetuning." + }, + { + "left": "issue:6392", + "right": "issue:9052", + "accept": false, + "reason": "Both are loading failures, but custom LoRA loading and single-file checkpoint conversion are distinct code paths." + }, + { + "left": "issue:10350", + "right": "issue:8551", + "accept": false, + "reason": "Both involve VAE, but memory consumption in decode and incorrect device placement with device_map are different bugs." + }, + { + "left": "issue:4356", + "right": "issue:8994", + "accept": false, + "reason": "Module import failure and generation steps stuck at zero are unrelated." + }, + { + "left": "issue:12436", + "right": "issue:13140", + "accept": false, + "reason": "Different model families and failures: CLIPTextModel init kwargs vs Qwen Edit pipeline NoneType handling." + }, + { + "left": "issue:8477", + "right": "issue:8707", + "accept": false, + "reason": "Both are training errors, but DDP consistency-training failure and SDXL text-to-image training error are not the same issue." + }, + { + "left": "issue:9602", + "right": "issue:9856", + "accept": false, + "reason": "Adapter registration error and distributed port conflict are unrelated." + }, + { + "left": "issue:8826", + "right": "issue:8958", + "accept": false, + "reason": "Tensor-cat empty-list runtime error and torch.register_fake missing attribute are unrelated." + }, + { + "left": "issue:11424", + "right": "issue:11833", + "accept": false, + "reason": "VAE decode group_norm/device issues and LoRA device KeyError are different concrete bugs." + }, + { + "left": "issue:10039", + "right": "issue:8805", + "accept": false, + "reason": "The converter failure is too broad to equate with the specific missing output_sample_size bug in AttnUpBlock2D." + }, + { + "left": "issue:1101", + "right": "issue:341", + "accept": false, + "reason": "Both are scheduler feature requests, but DPM-Solver and K-LMS in-paint are separate changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 337, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10282", + "issue:10591", + "issue:11302", + "issue:11329", + "issue:1140", + "issue:11436", + "issue:11489", + "issue:1197", + "issue:2044", + "issue:2052", + "issue:2596", + "issue:3300", + "issue:3593", + "issue:3880", + "issue:3944", + "issue:4183", + "issue:4403", + "issue:4419", + "issue:4692", + "issue:4835", + "issue:4876", + "issue:5079", + "issue:5109", + "issue:5124", + "issue:5224", + "issue:5335", + "issue:5897", + "issue:5954", + "issue:6087", + "issue:6517", + "issue:6709", + "issue:6725", + "issue:6732", + "issue:6812", + "issue:7142", + "issue:7264", + "issue:7312", + "issue:7562", + "issue:7572", + "issue:7651", + "issue:7682", + "issue:8451", + "issue:8532", + "issue:8551", + "issue:8780", + "issue:8939", + "issue:9090", + "issue:9844" + ], + "soft_pairs": [ + "issue:1140|issue:1197", + "issue:3880|issue:6087", + "issue:3944|issue:4876", + "issue:4183|issue:6725", + "issue:4419|issue:6732", + "issue:4692|issue:7682", + "issue:5079|issue:7312", + "issue:5897|issue:6812", + "issue:11489|issue:8939", + "issue:11329|issue:8532", + "issue:2044|issue:5335", + "issue:2596|issue:3300", + "issue:7264|issue:8780", + "issue:5224|issue:6709", + "issue:4835|issue:5109", + "issue:5954|issue:7142", + "issue:7651|issue:9090", + "issue:4403|issue:7572", + "issue:10282|issue:6517", + "issue:11302|issue:11436", + "issue:2052|issue:5124", + "issue:8551|issue:9844", + "issue:3593|issue:7562", + "issue:10591|issue:8451" + ], + "prepared_review_unit_hash": "e12a7fb04af581d4285a2e969b6c585f01c375f263834582fbb86542bc5e503b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34256, + "estimated_input_tokens": 8564, + "estimated_eval_tokens": 17384 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: most items describe unrelated bugs/features across different pipelines, training scripts, and inference errors. None of the soft pairs look like the same underlying issue or change, so I would not collapse any of them.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1140", + "right": "issue:1197", + "accept": false, + "reason": "Different feature requests for different community pipelines; no shared bug/change." + }, + { + "left": "issue:3880", + "right": "issue:6087", + "accept": false, + "reason": "Inpainting quality issue vs LoRA save/load metadata bug; unrelated failure modes." + }, + { + "left": "issue:3944", + "right": "issue:4876", + "accept": false, + "reason": "Training rank customization request vs LoRA layer std argument request; related area but not the same change." + }, + { + "left": "issue:4183", + "right": "issue:6725", + "accept": false, + "reason": "ControlNet guidance_scale error vs LDMPipeline generation request; different code paths and symptoms." + }, + { + "left": "issue:4419", + "right": "issue:6732", + "accept": false, + "reason": "SDXL offset-noise inference mismatch vs scheduler documentation only." + }, + { + "left": "issue:4692", + "right": "issue:7682", + "accept": false, + "reason": "General UNet memory concern vs multi-GPU runtime issue; too broad and not the same bug." + }, + { + "left": "issue:5079", + "right": "issue:7312", + "accept": false, + "reason": "LoRA weight-loading support request vs direct reward finetuning support; different features." + }, + { + "left": "issue:5897", + "right": "issue:6812", + "accept": false, + "reason": "Device mismatch in LoRA training vs Q/K/V dtype mismatch in LoRA training; similar theme but distinct error sources." + }, + { + "left": "issue:11489", + "right": "issue:8939", + "accept": false, + "reason": "Flux LoRA training error vs SD3 tokenizer loading error; unrelated model/setup failures." + }, + { + "left": "issue:11329", + "right": "issue:8532", + "accept": false, + "reason": "bitsandbytes 8bit memory leak vs progressive memory increase loading LoRA weights; different subsystems and symptoms." + }, + { + "left": "issue:2044", + "right": "issue:5335", + "accept": false, + "reason": "DDP dtype attribute error vs local deployment/network access question; unrelated." + }, + { + "left": "issue:2596", + "right": "issue:3300", + "accept": false, + "reason": "Documentation typo/nonexistent API vs broken HF package availability; not the same issue." + }, + { + "left": "issue:7264", + "right": "issue:8780", + "accept": false, + "reason": "Custom transformers serialization bug vs generic model/input dtype mismatch; different underlying problems." + }, + { + "left": "issue:5224", + "right": "issue:6709", + "accept": false, + "reason": "Flax SD2.1 error vs custom diffusion concept-list training bug; separate training stacks." + }, + { + "left": "issue:4835", + "right": "issue:5109", + "accept": false, + "reason": "MultiControlNet img2img bug vs LoRA loading exception on a specific pipeline; not the same code-path issue." + }, + { + "left": "issue:5954", + "right": "issue:7142", + "accept": false, + "reason": "Kandinsky22 inference error vs SDXL-lightning output mismatch; different pipelines and failure modes." + }, + { + "left": "issue:7651", + "right": "issue:9090", + "accept": false, + "reason": "Img2img timestep calculation bug vs PNDM repeated timestep bug; related scheduler area but not clearly the same defect." + }, + { + "left": "issue:4403", + "right": "issue:7572", + "accept": false, + "reason": "Half precision LayerNorm kernel limitation vs half/float bias mismatch; distinct runtime errors." + }, + { + "left": "issue:10282", + "right": "issue:6517", + "accept": false, + "reason": "Weight shape mismatch for x_embedder vs import failure in SDXL ControlNet module; different model-loading issues." + }, + { + "left": "issue:11302", + "right": "issue:11436", + "accept": false, + "reason": "Quanto quantized save/load problem vs HiDream half/bfloat16 dtype mismatch; unrelated." + }, + { + "left": "issue:2052", + "right": "issue:5124", + "accept": false, + "reason": "Checkpoint resume behavior vs safetensor fine-tuning question; not the same bug." + }, + { + "left": "issue:8551", + "right": "issue:9844", + "accept": false, + "reason": "VAE latent device placement bug vs SDXL VAE encoder NaNs; different VAE failures." + }, + { + "left": "issue:3593", + "right": "issue:7562", + "accept": false, + "reason": "LoRA+xformers second-call failure vs enable_model_cpu_offload with multicontrolnet; different trigger and path." + }, + { + "left": "issue:10591", + "right": "issue:8451", + "accept": false, + "reason": "SD3 LoRA script issue vs missing SD1.x training script/frozen UNet docs; separate training topics." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 338, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10121", + "issue:10895", + "issue:11497", + "issue:11749", + "issue:11938", + "issue:1323", + "issue:13386", + "issue:175", + "issue:181", + "issue:2053", + "issue:2276", + "issue:2294", + "issue:2332", + "issue:2676", + "issue:3029", + "issue:3159", + "issue:3380", + "issue:3441", + "issue:3453", + "issue:3717", + "issue:4292", + "issue:4585", + "issue:4615", + "issue:4709", + "issue:4753", + "issue:4849", + "issue:4872", + "issue:5315", + "issue:5436", + "issue:5799", + "issue:5860", + "issue:6162", + "issue:6634", + "issue:6732", + "issue:6921", + "issue:7009", + "issue:7165", + "issue:7341", + "issue:7365", + "issue:7931", + "issue:8503", + "issue:8534", + "issue:8850", + "issue:8975", + "issue:9051", + "issue:9181", + "issue:9680", + "issue:9822" + ], + "soft_pairs": [ + "issue:10895|issue:7365", + "issue:11938|issue:9051", + "issue:175|issue:3159", + "issue:181|issue:3453", + "issue:2332|issue:2676", + "issue:3380|issue:7165", + "issue:4292|issue:5799", + "issue:4615|issue:9181", + "issue:4709|issue:7931", + "issue:4753|issue:8534", + "issue:5315|issue:6634", + "issue:6732|issue:7341", + "issue:7009|issue:9822", + "issue:10121|issue:6162", + "issue:4585|issue:8975", + "issue:2276|issue:4872", + "issue:11749|issue:13386", + "issue:1323|issue:2294", + "issue:2053|issue:3441", + "issue:5860|issue:8850", + "issue:11497|issue:8503", + "issue:3029|issue:5436", + "issue:3717|issue:4849", + "issue:6921|issue:9680" + ], + "prepared_review_unit_hash": "7474dfd4a4503d762b166e1c5ad93ed99985f3b2d784b541147e90733940149b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33845, + "estimated_input_tokens": 8462, + "estimated_eval_tokens": 17180 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous and the soft edges are topical false positives, not true duplicates. The issues span unrelated pipelines, schedulers, docs, training scripts, and import/runtime errors, so there is no single canonical item.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a good canonical representative; the items do not share one underlying bug or code path.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10895", + "right": "issue:7365", + "accept": false, + "reason": "Deprecations handling vs. pooled_prompt_embeds overwrite are unrelated bugs." + }, + { + "left": "issue:11938", + "right": "issue:9051", + "accept": false, + "reason": "RMSNorm registration and Flux batch inference are different code paths." + }, + { + "left": "issue:175", + "right": "issue:3159", + "accept": false, + "reason": "A training-code seeding question is not the same as a documentation typo." + }, + { + "left": "issue:181", + "right": "issue:3453", + "accept": false, + "reason": "Image-writing failure in train_unconditional.py is unrelated to a BFloat16 matmul issue." + }, + { + "left": "issue:2332", + "right": "issue:2676", + "accept": false, + "reason": "Dreambooth inference errors and scheduler-name support are distinct problems." + }, + { + "left": "issue:3380", + "right": "issue:7165", + "accept": false, + "reason": "Hard-coded embedding size and JAX dynamic-thresholding scale are separate issues." + }, + { + "left": "issue:4292", + "right": "issue:5799", + "accept": false, + "reason": "M1 inpainting crash and the strength keyword argument concern different failures." + }, + { + "left": "issue:4615", + "right": "issue:9181", + "accept": false, + "reason": "ImportError for a pipeline class is not the same as a ControlNet noise artifact." + }, + { + "left": "issue:4709", + "right": "issue:7931", + "accept": false, + "reason": "Guess mode support and IP-Adapter embed handling are different ControlNet bugs." + }, + { + "left": "issue:4753", + "right": "issue:8534", + "accept": false, + "reason": "Dreambooth script trouble and SD3 logit-normal weighting are unrelated training issues." + }, + { + "left": "issue:5315", + "right": "issue:6634", + "accept": false, + "reason": "A generic DDIMInverseScheduler step bug is not clearly the same as the clipped-output parameter issue." + }, + { + "left": "issue:6732", + "right": "issue:7341", + "accept": false, + "reason": "Scheduler documentation and TorchVersion comparison are unrelated." + }, + { + "left": "issue:7009", + "right": "issue:9822", + "accept": false, + "reason": "Poor TextToVideoSDPipeline results and SDXL LoRA loading into Flux are different problems." + }, + { + "left": "issue:10121", + "right": "issue:6162", + "accept": false, + "reason": "Flux high-resolution generation and SDXL IP-Adapter shape mismatch do not share the same bug." + }, + { + "left": "issue:4585", + "right": "issue:8975", + "accept": false, + "reason": "SDXL MultiControlNet documentation inconsistency and a missing loader import are unrelated." + }, + { + "left": "issue:2276", + "right": "issue:4872", + "accept": false, + "reason": "xformers installation failure in Colab is not the same as an SDXL OOM report." + }, + { + "left": "issue:11749", + "right": "issue:13386", + "accept": false, + "reason": "Scheduler timestep floating-point errors and tensor concatenation crashes are different failures." + }, + { + "left": "issue:1323", + "right": "issue:2294", + "accept": false, + "reason": "Flax dtype loading and a missing video inpaint import are unrelated." + }, + { + "left": "issue:2053", + "right": "issue:3441", + "accept": false, + "reason": "General VRAM regression and PyTorch2-without-xformers memory usage are not the same concrete bug." + }, + { + "left": "issue:5860", + "right": "issue:8850", + "accept": false, + "reason": "Tiny Autoencoder/ControlNet pipeline failure and broken community pipeline mirrors are unrelated." + }, + { + "left": "issue:11497", + "right": "issue:8503", + "accept": false, + "reason": "Dataset cache dependency bugs and SD3 gradient-checkpointing crashes are different issues." + }, + { + "left": "issue:3029", + "right": "issue:5436", + "accept": false, + "reason": "ControlNet custom resolution and SDXL training example errors are distinct." + }, + { + "left": "issue:3717", + "right": "issue:4849", + "accept": false, + "reason": "Multi-GPU OOM and how to use multiple GPUs for textual inversion are not the same bug." + }, + { + "left": "issue:6921", + "right": "issue:9680", + "accept": false, + "reason": "SDXL weight mismatch and SDXL unconditional generation failure are separate problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 339, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10054", + "issue:10085", + "issue:10120", + "issue:10150", + "issue:10315", + "issue:10722", + "issue:1080", + "issue:11163", + "issue:11581", + "issue:11657", + "issue:11659", + "issue:1734", + "issue:1988", + "issue:2618", + "issue:2659", + "issue:2851", + "issue:3026", + "issue:3103", + "issue:4139", + "issue:4815", + "issue:4841", + "issue:5270", + "issue:5334", + "issue:5395", + "issue:5557", + "issue:5605", + "issue:5737", + "issue:6091", + "issue:6109", + "issue:617", + "issue:6230", + "issue:6232", + "issue:6335", + "issue:6392", + "issue:6399", + "issue:6482", + "issue:6527", + "issue:6732", + "issue:8323", + "issue:8556", + "issue:8579", + "issue:8615", + "issue:8707", + "issue:8708", + "issue:8989", + "issue:9106", + "issue:9467", + "issue:9664" + ], + "soft_pairs": [ + "issue:8556|issue:8579", + "issue:3103|issue:4815", + "issue:4139|issue:6392", + 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"serialized_chars": 34276, + "estimated_input_tokens": 8569, + "estimated_eval_tokens": 17394 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: the items span unrelated scheduler, training, LoRA, memory, and pipeline bugs. All proposed soft edges are broad text-similarity matches rather than the same concrete underlying defect.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue fits this cluster because the issues describe different subsystems and failure modes; none is a clear duplicate representative.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative; the set is too heterogeneous to justify picking one as the canonical duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8556", + "right": "issue:8579", + "accept": false, + "reason": "Both mention SD3/LoRA-related loading problems, but one is a meta-tensor copy error during from_single_file load and the other is generic SD3 LoRA non-functionality; different failure paths." + }, + { + "left": "issue:3103", + "right": "issue:4815", + "accept": false, + "reason": "Both concern inpainting sizing/inputs, but one is about height/width handling and the other is latents-only support; not the same bug." + }, + { + "left": "issue:4139", + "right": "issue:6392", + "accept": false, + "reason": "One is about precision casting in a custom diffusion attention processor; the other is a custom LoRA load failure. Different code paths and symptoms." + }, + { + "left": "issue:1988", + "right": "issue:617", + "accept": false, + "reason": "One is an fp16/bf16 input vs bias dtype mismatch in a trainer example; the other is an NNPACK hardware warning from AutoencoderKL. Not duplicates." + }, + { + "left": "issue:6109", + "right": "issue:6335", + "accept": false, + "reason": "Both involve ControlNet-related pipelines, but one is a ControlNet-xs depth control discussion and the other is output size control in ControlNetImg2Img. Different issues." + }, + { + "left": "issue:1080", + "right": "issue:5334", + "accept": false, + "reason": "One asks how to run DreamBooth accelerate from Python; the other reports multi-model handling in Accelerate APIs during training. Not the same defect." + }, + { + "left": "issue:2618", + "right": "issue:4841", + "accept": false, + "reason": "One is about tensor image input for ControlNet; the other is a ControlNet image size issue. Related area, but not the same bug." + }, + { + "left": "issue:5557", + "right": "issue:6482", + "accept": false, + "reason": "One is a use_reentrant keyword error from checkpointing; the other is FP16 gradient unscale failure on resume. Distinct training failures." + }, + { + "left": "issue:5605", + "right": "issue:8615", + "accept": false, + "reason": "One requests per-image captions for SDXL DreamBooth; the other requests fuse_lora support on SD3. Different feature requests." + }, + { + "left": "issue:5737", + "right": "issue:9664", + "accept": false, + "reason": "Both are conversion/training script errors, but they affect different scripts and likely different causes; too little evidence of a shared underlying bug." + }, + { + "left": "issue:6399", + "right": "issue:6732", + "accept": false, + "reason": "One is about custom LoRA weights not visible in UI tools; the other is documentation for trained_betas in DDPMScheduler. Not duplicates." + }, + { + "left": "issue:8708", + "right": "issue:9467", + "accept": false, + "reason": "One is a missing shift_factor in SD3 dreambooth examples; the other is a missing guard-rail on num_frames in CogVideoX I2V. Different pipelines and fixes." + }, + { + "left": "issue:10722", + "right": "issue:1734", + "accept": false, + "reason": "Both concern DreamBooth training performance/behavior, but one is a tensor size mismatch during prior preservation and the other is multi-GPU slowness. Not the same bug." + }, + { + "left": "issue:5395", + "right": "issue:8989", + "accept": false, + "reason": "One is about combining LoRAs via PEFT; the other is sequential offloading in Stable Audio. Different subsystems and symptoms." + }, + { + "left": "issue:10054", + "right": "issue:6527", + "accept": false, + "reason": "Both mention EulerDiscreteScheduler, but one is about torch.linspace parameter usage in beta-sigma tests and the other is add_noise behavior. Different concrete bugs." + }, + { + "left": "issue:10085", + "right": "issue:10150", + "accept": false, + "reason": "One is a LyCORIS/skip_guidance_layers runtime error; the other is SDXL slow loading/inference. No concrete underlying match." + }, + { + "left": "issue:2659", + "right": "issue:6091", + "accept": false, + "reason": "One is batch-size-dependent output variation; the other is a Consistency Decoder size-argument memory issue. Unrelated defects." + }, + { + "left": "issue:6232", + "right": "issue:8323", + "accept": false, + "reason": "One is a scheduler.add_noise bug for some settings; the other is a Chinese-language report that scheduler files cannot be recognized. Not the same issue." + }, + { + "left": "issue:11581", + "right": "issue:11659", + "accept": false, + "reason": "Both are LoRA/IP-Adapter related, but one is a FLUX IP Adapter dtype constructor error and the other is a Wan LoRA prefix mismatch warning. Different model families and failure modes." + }, + { + "left": "issue:10120", + "right": "issue:6230", + "accept": false, + "reason": "Both are memory/OOM related, but one is DreamBooth+SD3 memory consumption and the other is SDXL training CUDA OOM. Broad symptom only, not the same bug." + }, + { + "left": "issue:11163", + "right": "issue:9106", + "accept": false, + "reason": "One is a WanImageToVideo latent math bug; the other is a PixArt-alpha time_step attribute error. Different pipelines and code paths." + }, + { + "left": "issue:11657", + "right": "issue:11659", + "accept": false, + "reason": "Both involve Wan LoRA loading, but one reports no effect due to missing keys and the other is a generic LoRA load issue. Could be adjacent, but not enough evidence to merge." + }, + { + "left": "issue:5270", + "right": "issue:6091", + "accept": false, + "reason": "One is a notebook memory leak; the other is a Consistency Decoder size-argument memory issue. Different bugs despite both being memory-related." + }, + { + "left": "issue:10315", + "right": "issue:8707", + "accept": false, + "reason": "One is a CogVideo training error; the other is an SDXL text-to-image training error. Different models, scripts, and likely causes." + }, + { + "left": "issue:2851", + "right": "issue:3026", + "accept": false, + "reason": "One is a TPU push_to_hub limitation during training; the other is an accelerate launch error for instruct_pix2pix. Not the same problem." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 340, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10121", + "issue:10302", + "issue:10798", + "issue:1106", + "issue:11540", + "issue:11790", + "issue:12606", + "issue:2299", + "issue:251", + "issue:2552", + "issue:2838", + "issue:3097", + "issue:3194", + "issue:3576", + "issue:3631", + "issue:3951", + "issue:3975", + "issue:4186", + "issue:4399", + "issue:4484", + "issue:4618", + "issue:4977", + "issue:5592", + "issue:5763", + "issue:5884", + "issue:5984", + "issue:6598", + "issue:6610", + "issue:6783", + "issue:6921", + "issue:7210", + "issue:7322", + "issue:7355", + "issue:776", + "issue:8450", + "issue:8710", + "issue:8759", + "issue:898", + "issue:9163", + "issue:9200", + "issue:9224", + "issue:9292", + "issue:9361", + "issue:939", + "issue:9464", + "issue:9664", + "issue:9944" + ], + "soft_pairs": [ + "issue:4484|issue:6598", + "issue:10302|issue:11540", + "issue:3194|issue:7210", + "issue:8759|issue:9944", + "issue:10121|issue:7355", + "issue:2838|issue:939", + "issue:3097|issue:3576", + "issue:3631|issue:898", + "issue:3951|issue:5592", + "issue:3975|issue:4618", + "issue:5884|issue:8710", + "issue:5984|issue:9664", + "issue:6610|issue:8450", + "issue:9163|issue:9464", + "issue:9292|issue:9361", + "issue:5984|issue:7322", + "issue:6921|issue:9200", + "issue:10798|issue:9224", + "issue:2299|issue:4977", + "issue:1106|issue:2552", + "issue:11790|issue:12606", + "issue:251|issue:776", + "issue:4186|issue:6783", + "issue:4399|issue:5763" + ], + "prepared_review_unit_hash": "f5ae3191ddb12781e1ec444d2b68ac787c9ff8d30a544f2ca41a6cb2831b3285", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33510, + "estimated_input_tokens": 8378, + "estimated_eval_tokens": 17012 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated Diffusers issues grouped by loose embedding similarity rather than true duplicates. I found no strong PRs at all, and only one issue worth using as a representative canonical item because it is the clearest, most actionable bug report in the set.", + "confidence": 0.79, + "canonical_issue_reason": "issue:11540 is the clearest concrete bug report: it has a specific repro, names the affected pipelines, and describes two related but actionable VAE-slicing problems.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11540 is the best representative issue because it is detailed, open, and directly tied to a specific runtime bug rather than a generic symptom or feature request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4484", + "right": "issue:6598", + "accept": false, + "reason": "Both mention bad image quality, but one is SDXL LoRA weirdness and the other is img2img parity vs A1111; different pipelines and likely different root causes." + }, + { + "left": "issue:10302", + "right": "issue:11540", + "accept": false, + "reason": "Both mention noise, but one is FP8 inference without CPU offload and the other is VAE slicing in Flux; distinct code paths." + }, + { + "left": "issue:3194", + "right": "issue:7210", + "accept": false, + "reason": "Unrelated failures: bitsandbytes metadata/package resolution versus an accelerate dispatch attribute error." + }, + { + "left": "issue:8759", + "right": "issue:9944", + "accept": false, + "reason": "Both are SD3-family issues, but one is an image postprocessing cast warning and the other is a loading size mismatch; not the same bug." + }, + { + "left": "issue:10121", + "right": "issue:7355", + "accept": false, + "reason": "Resolution-related symptoms, but they target different models and different failures (Flux high-res generation vs Stable Cascade arbitrary resolutions with bfloat16)." + }, + { + "left": "issue:2838", + "right": "issue:939", + "accept": false, + "reason": "A ControlNet pipeline feature request and a request to list multiple community pipes are not the same underlying bug/change." + }, + { + "left": "issue:3097", + "right": "issue:3576", + "accept": false, + "reason": "Textual inversion is common context, but one reports no effect and the other a TypeError with xformers; different failure modes." + }, + { + "left": "issue:3631", + "right": "issue:898", + "accept": false, + "reason": "Inpainting with latents is unrelated to a TPU bfloat16 scalar type exception." + }, + { + "left": "issue:3951", + "right": "issue:5592", + "accept": false, + "reason": "Same model family, but NaNs in demo output and checkpoint loading failure are different problems." + }, + { + "left": "issue:3975", + "right": "issue:4618", + "accept": false, + "reason": "A typo in an error message is unrelated to a ControlNet usage question." + }, + { + "left": "issue:5884", + "right": "issue:8710", + "accept": false, + "reason": "Both are feature-addition issues for pipelines, but they concern different features and different pipeline families." + }, + { + "left": "issue:5984", + "right": "issue:9664", + "accept": false, + "reason": "The training-script subprocess failure is too generic to be the same concrete bug as the fp16 Colab RAM issue." + }, + { + "left": "issue:6610", + "right": "issue:8450", + "accept": false, + "reason": "Both hit SDXL inpaint, but one is about ignored num_in_channels and the other about noisy output at strength=1.0." + }, + { + "left": "issue:9163", + "right": "issue:9464", + "accept": false, + "reason": "Both touch train_dreambooth_lora_flux.py, but one is generic tensor bugs and the other is a specific IndexError with prodigy/text_encoder; not clearly the same root cause." + }, + { + "left": "issue:9292", + "right": "issue:9361", + "accept": false, + "reason": "Both involve Flux LoRA loading, but one is key-compatibility for X-Labs checkpoints and the other is a no-effect inference report; related, but not confidently the same bug." + }, + { + "left": "issue:5984", + "right": "issue:7322", + "accept": false, + "reason": "Both may involve training instability, but one is explicitly a RAM issue from an fp16 variant while the other is a generic SIGKILL during training." + }, + { + "left": "issue:6921", + "right": "issue:9200", + "accept": false, + "reason": "Official-weight deviation and a ControlNet dtype error are unrelated." + }, + { + "left": "issue:10798", + "right": "issue:9224", + "accept": false, + "reason": "Flux quantization/device-combination issues are unrelated to an MPS float64 support problem." + }, + { + "left": "issue:2299", + "right": "issue:4977", + "accept": false, + "reason": "A checkpoint-format compatibility issue is unrelated to removing checkpoints in an example script." + }, + { + "left": "issue:1106", + "right": "issue:2552", + "accept": false, + "reason": "Repeated UNet calls in PNDM has nothing to do with an inpainting tutorial question." + }, + { + "left": "issue:11790", + "right": "issue:12606", + "accept": false, + "reason": "A LoRA loading bug and a wrong import in a converter script are different code paths." + }, + { + "left": "issue:251", + "right": "issue:776", + "accept": false, + "reason": "Both are old generation issues, but one is latent fragility/solid-color outputs and the other is batch-size behavior in img2img." + }, + { + "left": "issue:4186", + "right": "issue:6783", + "accept": false, + "reason": "Different models and different bugs: SDXL inpaint/refiner versus PixArt-XL-2 generation corruption." + }, + { + "left": "issue:4399", + "right": "issue:5763", + "accept": false, + "reason": "PyTorch compile plus CPU offload incompatibility is unrelated to safetensors serialization." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 341, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10695", + "issue:10710", + "issue:10768", + "issue:10772", + "issue:1084", + "issue:10893", + "issue:11092", + "issue:11374", + "issue:11447", + "issue:11448", + "issue:12373", + "issue:12761", + "issue:1730", + "issue:2201", + "issue:2392", + "issue:2414", + "issue:2442", + "issue:2550", + "issue:2716", + "issue:272", + "issue:307", + "issue:3951", + "issue:4031", + "issue:4043", + "issue:4304", + "issue:4476", + "issue:4641", + "issue:4697", + "issue:4874", + "issue:5081", + "issue:5135", + "issue:5412", + "issue:5553", + "issue:5875", + "issue:6008", + "issue:6176", + "issue:6598", + "issue:6636", + "issue:6686", + "issue:7939", + "issue:8373", + "issue:8390", + "issue:8667", + "issue:8956", + "issue:9112", + "issue:9460", + "issue:9844" + ], + "soft_pairs": [ + "issue:10710|issue:8373", + "issue:6686|issue:9844", + "issue:1084|issue:307", + "issue:11374|issue:12373", + "issue:11447|issue:11448", + "issue:1730|issue:2442", + "issue:2414|issue:6636", + "issue:4031|issue:4874", + "issue:4476|issue:5412", + "issue:4641|issue:4697", + "issue:5135|issue:6008", + "issue:7939|issue:8956", + "issue:11092|issue:9112", + "issue:2716|issue:6176", + "issue:4031|issue:5553", + "issue:4043|issue:5081", + "issue:8667|issue:9460", + "issue:10695|issue:12761", + "issue:10768|issue:10772", + "issue:10893|issue:8390", + "issue:2201|issue:6598", + "issue:2392|issue:3951", + "issue:2550|issue:5875", + "issue:272|issue:4304" + ], + "prepared_review_unit_hash": "92fd7cdb7b2ce8065564f92a2a30b924ea6a46c1fa97f98b33b61047edc00e6e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33196, + "estimated_input_tokens": 8299, + "estimated_eval_tokens": 16854 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated bug reports, feature requests, and how-to questions across many diffusers subsystems. None of the soft pairs look like the same underlying issue/change, so all should be rejected as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:10695 is the most concrete, code-path-specific bug report in the set, with a clear scheduler-step calculation problem and actionable fix scope.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10710", + "right": "issue:8373", + "accept": false, + "reason": "Different concerns: DDUF format support question vs an incorrect error-message bug." + }, + { + "left": "issue:6686", + "right": "issue:9844", + "accept": false, + "reason": "Both involve bad model behavior, but one is Dynamo performance after save/load and the other is SDXL VAE NaNs; not the same bug." + }, + { + "left": "issue:1084", + "right": "issue:307", + "accept": false, + "reason": "Related to pipeline reuse/merging, but one is documentation around weight sharing and the other is a request to merge pipelines." + }, + { + "left": "issue:11374", + "right": "issue:12373", + "accept": false, + "reason": "Unrelated features: SkyReels-V2 support vs an Unlearn API request." + }, + { + "left": "issue:11447", + "right": "issue:11448", + "accept": false, + "reason": "Both are loading-related, but one is offline shard resolution and the other is a missing model path/repo." + }, + { + "left": "issue:1730", + "right": "issue:2442", + "accept": false, + "reason": "Different workflows: CKPT conversion compatibility vs inpainting loss-graph behavior." + }, + { + "left": "issue:2414", + "right": "issue:6636", + "accept": false, + "reason": "Both mention imports, but they are distinct import failures affecting different symbols and code paths." + }, + { + "left": "issue:4031", + "right": "issue:4874", + "accept": false, + "reason": "Different loaders and failures: local safety-checker loading vs low_res_scheduler behavior from local files." + }, + { + "left": "issue:4476", + "right": "issue:5412", + "accept": false, + "reason": "ControlNet inference quality issue vs checkpoint-resume training failure; not the same underlying problem." + }, + { + "left": "issue:4641", + "right": "issue:4697", + "accept": false, + "reason": "Both concern LoRA loading, but one is a local-file load failure and the other is a specific LoRA failing after an update." + }, + { + "left": "issue:5135", + "right": "issue:6008", + "accept": false, + "reason": "Different symptoms and components: LoRA quality degradation with xformers vs IP-Adapter plus face failing with LCM LoRA." + }, + { + "left": "issue:7939", + "right": "issue:8956", + "accept": false, + "reason": "Both are model loading problems, but they refer to different pipelines and different failure modes." + }, + { + "left": "issue:11092", + "right": "issue:9112", + "accept": false, + "reason": "Different runtime errors in different models/pipelines: empty timesteps vs tensor shape mismatch." + }, + { + "left": "issue:2716", + "right": "issue:6176", + "accept": false, + "reason": "General checkpoint loading question vs an error loading LoRA weights after training; not the same bug." + }, + { + "left": "issue:4031", + "right": "issue:5553", + "accept": false, + "reason": "Both involve loading models, but one is a standalone safety checker local-file issue and the other is custom DiffusionPipeline loading." + }, + { + "left": "issue:4043", + "right": "issue:5081", + "accept": false, + "reason": "Distinct SDXL problems: required pooled embeds vs LPW XL shape-mismatch during attention/MLP operations." + }, + { + "left": "issue:8667", + "right": "issue:9460", + "accept": false, + "reason": "One is a tensor-size mismatch on non-power-of-two images, the other is an API feature request for lists of ControlNet models." + }, + { + "left": "issue:10695", + "right": "issue:12761", + "accept": false, + "reason": "Completely different code paths: DDIMInverseScheduler timestep computation vs a backward-gradient count mismatch in Ulysses attention." + }, + { + "left": "issue:10768", + "right": "issue:10772", + "accept": false, + "reason": "Different model families and requests: Hunyuan negative-prompt support vs Sana ControlNet support." + }, + { + "left": "issue:10893", + "right": "issue:8390", + "accept": false, + "reason": "Both are ControlNet-related feature requests, but for different base models and different integration/training goals." + }, + { + "left": "issue:2201", + "right": "issue:6598", + "accept": false, + "reason": "Tokenizer padding differences vs img2img output divergence; related broadly to correctness, but not the same issue." + }, + { + "left": "issue:2392", + "right": "issue:3951", + "accept": false, + "reason": "Different failures: prompt_embeds validation error vs NaNs in UniDiffuser demo output." + }, + { + "left": "issue:2550", + "right": "issue:5875", + "accept": false, + "reason": "Different conversion targets and errors: ControlNet model conversion vs ONNX conversion prompt error." + }, + { + "left": "issue:272", + "right": "issue:4304", + "accept": false, + "reason": "Unrelated feature requests: K-LMS support for inpainting vs SDXL text-to-image LoRA training support." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 342, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1205", + "issue:1214", + "issue:2763", + "issue:2782", + "issue:2905", + "issue:2908", + "issue:2991", + "issue:3181", + "issue:3403", + "issue:3467", + "issue:3578", + "issue:3624", + "issue:3643", + "issue:3682", + "issue:3876", + "issue:3935", + "issue:4001", + "issue:4118", + "issue:4185", + "issue:4306", + "issue:4616", + "issue:4675", + "issue:4804", + "issue:4826", + "issue:5043", + "issue:5365", + "issue:5630", + "issue:5794", + "issue:6162", + "issue:6335", + "issue:6336", + "issue:6354", + "issue:7237", + "issue:725", + "issue:7286", + "issue:7736", + "issue:7813", + "issue:8390", + "issue:8503", + "issue:8659", + "issue:8855", + "issue:8898", + "issue:8930", + "issue:9001", + "issue:9225", + "issue:9539", + "issue:970", + "issue:9756" + ], + "soft_pairs": [ + "issue:3181|issue:3624", + "issue:3578|issue:4118", + "issue:3682|issue:725", + "issue:3935|issue:4001", + "issue:4675|issue:8390", + "issue:4804|issue:9225", + "issue:5043|issue:7736", + "issue:5794|issue:8898", + "issue:7237|issue:9756", + "issue:7813|issue:8855", + "issue:8503|issue:9539", + "issue:3876|issue:4306", + "issue:6335|issue:8930", + "issue:3643|issue:5365", + "issue:3403|issue:7286", + "issue:2991|issue:3467", + "issue:1214|issue:2908", + "issue:4185|issue:8659", + "issue:2763|issue:4826", + "issue:1205|issue:2782", + "issue:2905|issue:6354", + "issue:4616|issue:970", + "issue:5630|issue:9001", + "issue:6162|issue:6336" + ], + "prepared_review_unit_hash": "e6cacf56f4505eb673099abffe7f97b2df12d1aa29a4aba166327b84788a5398", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33786, + "estimated_input_tokens": 8447, + "estimated_eval_tokens": 17150 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: most items are unrelated bugs or feature requests across different pipelines, loaders, schedulers, and docs. There is no strong duplicate group, so all soft edges should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": "Issue 2908 is the most concrete and detailed bug report in the closest subtopic (ControlNet training / mixed precision), but it is still only a weak cluster anchor because the rest of the items are not duplicates of it.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 2908 is the best representative issue because it includes a specific failing script and a clear bug description, making it the most actionable anchor among otherwise unrelated reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3181", + "right": "issue:3624", + "accept": false, + "reason": "Different errors and contexts: TensorRT example TypeError vs getattr() attribute-name failure." + }, + { + "left": "issue:3578", + "right": "issue:4118", + "accept": false, + "reason": "Different loading problems: AutoencoderKL checkpoint load failure vs missing 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"issue:8898", + "accept": false, + "reason": "Both involve loading, but one is a missing tokenizer config and the other is a subfolder path validation error." + }, + { + "left": "issue:7237", + "right": "issue:9756", + "accept": false, + "reason": "Scheduler import/lookup issue vs missing notebook file; not the same bug." + }, + { + "left": "issue:7813", + "right": "issue:8855", + "accept": false, + "reason": "Different API concerns: passing timesteps as tensors vs joint_attention_kwargs propagation." + }, + { + "left": "issue:8503", + "right": "issue:9539", + "accept": false, + "reason": "Different model/runtime failures: SD3 gradient-checkpointing crash vs CogVideoX float8 index_select error." + }, + { + "left": "issue:3876", + "right": "issue:4306", + "accept": false, + "reason": "Both are pipeline errors, but they affect different pipelines and failure modes." + }, + { + "left": "issue:6335", + "right": "issue:8930", + "accept": false, + "reason": "Both are ControlNet img2img 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problems: black images in ControlNet vs checkpoint resume/load failure in text-to-image training." + }, + { + "left": "issue:2763", + "right": "issue:4826", + "accept": false, + "reason": "Both are ControlNet-related, but one is VRAM usage with cudnn.benchmark and the other is MultiControlNet reference errors." + }, + { + "left": "issue:1205", + "right": "issue:2782", + "accept": false, + "reason": "Different loading/offloading topics: SD-to-ONNX conversion vs sequential model offloading error." + }, + { + "left": "issue:2905", + "right": "issue:6354", + "accept": false, + "reason": "Unrelated changes: Karras sigmas for schedulers vs LoRA support for ControlNet." + }, + { + "left": "issue:4616", + "right": "issue:970", + "accept": false, + "reason": "LoRA conversion bug is unrelated to failing integration tests." + }, + { + "left": "issue:5630", + "right": "issue:9001", + "accept": false, + "reason": "Different pipelines and problems: SDXL img2img scheduler noise vs Auraflow aspect ratios." + }, + { + "left": "issue:6162", + "right": "issue:6336", + "accept": false, + "reason": "Different runtime errors in different pipelines: IP-Adapter shape mismatch vs TensorRT VAE compilation with AutoencoderTiny." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 343, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1111", + "issue:11144", + "issue:1271", + "issue:1617", + "issue:1821", + "issue:2097", + "issue:2228", + "issue:2326", + "issue:234", + "issue:235", + "issue:2364", + "issue:2596", + "issue:2606", + "issue:2880", + "issue:3081", + "issue:3222", + "issue:3224", + "issue:3453", + "issue:3573", + "issue:3591", + "issue:3740", + "issue:3884", + "issue:4676", + "issue:4709", + "issue:4726", + "issue:4936", + "issue:5075", + "issue:540", + "issue:5538", + "issue:5605", + "issue:5931", + "issue:6164", + "issue:6287", + "issue:6446", + "issue:6520", + "issue:7049", + "issue:7168", + "issue:7300", + "issue:7415", + "issue:7483", + "issue:7535", + "issue:7600", + "issue:7945", + "issue:8226", + "issue:8551", + "issue:9187", + "issue:9610" + ], + "soft_pairs": [ + "issue:2606|issue:3884", + "issue:1617|issue:2326", + "issue:4936|issue:6520", + "issue:7168|issue:8551", + "issue:4709|issue:6164", + "issue:235|issue:2880", + "issue:2596|issue:3081", + "issue:3222|issue:7300", + "issue:3224|issue:7600", + "issue:3453|issue:7415", + "issue:5538|issue:6287", + "issue:5605|issue:9610", + "issue:1271|issue:2364", + "issue:3740|issue:7483", + "issue:234|issue:3573", + "issue:3591|issue:8226", + "issue:1821|issue:3222", + "issue:2097|issue:5075", + "issue:4726|issue:7535", + "issue:11144|issue:9187", + "issue:4676|issue:7049", + "issue:5931|issue:7945", + "issue:1111|issue:540", + "issue:2228|issue:6446" + ], + "prepared_review_unit_hash": "3f31e2848730dfce1771791cc965a8fd691ded2dd6027895275c8022a70c9e3e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33345, + "estimated_input_tokens": 8337, + "estimated_eval_tokens": 16930 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the soft links mostly connect only broadly related Stable Diffusion/Diffusers issues, not the same underlying bug or change. I would not collapse any of the candidate pairs, and there is no strong single canonical issue/PR for the whole cluster.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2606", + "right": "issue:3884", + "accept": false, + "reason": "Both are training-script errors, but one is a DeepSpeed save_state hang and the other is an argument parsing failure in a different script path." + }, + { + "left": "issue:1617", + "right": "issue:2326", + "accept": false, + "reason": "Dreambooth CLI required-args error vs LoRA conversion to safetensors/ckpt; different tools and failure modes." + }, + { + "left": "issue:4936", + "right": "issue:6520", + "accept": false, + "reason": "Resume support in Dreambooth LoRA training is broken, while the other report is blank validation output in adapter training." + }, + { + "left": "issue:7168", + "right": "issue:8551", + "accept": false, + "reason": "Both mention IP Adapter-like tensor/device problems, but one is about 4D image embeddings and the other about inpaint latents not moving to the right device under device_map." + }, + { + "left": "issue:4709", + "right": "issue:6164", + "accept": false, + "reason": "ControlNet guess mode support and latent output handling are unrelated code paths." + }, + { + "left": "issue:235", + "right": "issue:2880", + "accept": false, + "reason": "One is CUDA issues when porting a script, the other is a JAX Colab runtime failure; too different to be duplicates." + }, + { + "left": "issue:2596", + "right": "issue:3081", + "accept": false, + "reason": "Documentation referring to a missing utility function is not the same as a non-functional Colab notebook." + }, + { + "left": "issue:3222", + "right": "issue:7300", + "accept": false, + "reason": "Missing saved custom diffusion weights and high GPU memory after attention processor setup are different training/runtime bugs." + }, + { + "left": "issue:3224", + "right": "issue:7600", + "accept": false, + "reason": "Duplicated learning-rate scaling and missing accelerator.accumulate on text_encoder are different training-loop logic issues." + }, + { + "left": "issue:3453", + "right": "issue:7415", + "accept": false, + "reason": "Both are bfloat16-related, but one is a CUDA triu/tril kernel limitation in text-to-image training and the other is AutoencoderKL behavior on TPU v4." + }, + { + "left": "issue:5538", + "right": "issue:6287", + "accept": false, + "reason": "A pipeline implementation question about latent usage is unrelated to setup.py listing unused dependencies." + }, + { + "left": "issue:5605", + "right": "issue:9610", + "accept": false, + "reason": "Per-image caption support for SDXL Dreambooth and adding load_lora_weights to an img2img pipeline are separate feature requests." + }, + { + "left": "issue:1271", + "right": "issue:2364", + "accept": false, + "reason": "Dependency installation on GCP notebooks and a generic training-script failure are not the same bug." + }, + { + "left": "issue:3740", + "right": "issue:7483", + "accept": false, + "reason": "Legacy attention block conversion with sequential device_map is distinct from LoRA-to-Diffusers conversion for SDXL base models." + }, + { + "left": "issue:234", + "right": "issue:3573", + "accept": false, + "reason": "Half-precision pipeline runtime and a missing class_labels argument in local upscaler are unrelated." + }, + { + "left": "issue:3591", + "right": "issue:8226", + "accept": false, + "reason": "ControlNet loss-curve confusion is not the same as VectorQuantizer loss behavior." + }, + { + "left": "issue:1821", + "right": "issue:3222", + "accept": false, + "reason": "Negative prompt ineffectiveness in inpaint is a pipeline behavior issue, not the missing custom diffusion output artifact." + }, + { + "left": "issue:2097", + "right": "issue:5075", + "accept": false, + "reason": "UNet1D usage problem and SDXL refiner prompt-embedding shape mismatch are different model-path failures." + }, + { + "left": "issue:4726", + "right": "issue:7535", + "accept": false, + "reason": "These are both typing-related, but one is a StableDiffusionPipeline callback signature issue and the other is a broader type-hint incompatibility." + }, + { + "left": "issue:11144", + "right": "issue:9187", + "accept": false, + "reason": "Incorrect FlaxUNet dtypes and IP Adapter SDXL breakage after Kolors update are separate subsystems." + }, + { + "left": "issue:4676", + "right": "issue:7049", + "accept": false, + "reason": "TAESD latent brightness and IP Adapter unpacking errors do not share the same root cause." + }, + { + "left": "issue:5931", + "right": "issue:7945", + "accept": false, + "reason": "Nondeterministic generation and a request to combine community pipelines are not the same change or bug." + }, + { + "left": "issue:1111", + "right": "issue:540", + "accept": false, + "reason": "A checkpoint licensing/content topic and a memory-usage optimization issue are unrelated." + }, + { + "left": "issue:2228", + "right": "issue:6446", + "accept": false, + "reason": "Both concern loading Stable Diffusion, but one is about moving the pipeline to GPU and the other is a Colab minimal-loading complaint; too broad and not the same concrete bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 344, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10016", + "issue:1055", + "issue:1099", + "issue:11088", + "issue:11749", + "issue:12082", + "issue:1273", + "issue:1363", + "issue:1918", + "issue:2068", + "issue:2250", + "issue:2578", + "issue:3539", + "issue:3970", + "issue:4618", + "issue:4701", + "issue:4972", + "issue:5150", + "issue:5162", + "issue:5405", + "issue:5630", + "issue:5919", + "issue:5968", + "issue:5998", + "issue:6242", + "issue:6297", + "issue:6321", + "issue:6439", + "issue:6441", + "issue:6561", + "issue:6685", + "issue:6811", + "issue:6966", + "issue:7054", + "issue:7322", + "issue:7450", + "issue:7616", + "issue:7762", + "issue:7782", + "issue:7939", + "issue:851", + "issue:8906", + "issue:9069", + "issue:9515", + "issue:9613", + "issue:9660", + "issue:9670" + ], + "soft_pairs": [ + "issue:5162|issue:5968", + "issue:5630|issue:7762", + "issue:5998|issue:9069", + "issue:5919|issue:6966", + "issue:6561|issue:6811", + "issue:10016|issue:7939", + "issue:2068|issue:851", + "issue:2578|issue:6321", + "issue:2250|issue:4972", + "issue:1055|issue:1099", + "issue:11749|issue:9613", + "issue:1273|issue:3539", + "issue:3970|issue:4618", + "issue:5150|issue:6685", + "issue:5405|issue:6439", + "issue:5630|issue:7616", + "issue:6242|issue:6441", + "issue:7054|issue:9660", + "issue:7782|issue:9670", + "issue:8906|issue:9515", + "issue:11088|issue:12082", + "issue:1363|issue:1918", + "issue:4701|issue:7450", + "issue:6297|issue:7322" + ], + "prepared_review_unit_hash": "677781086b2c58f5ba63418baa1b9122c8b1bfda4af811d20e3e88ec21ee851f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33161, + "estimated_input_tokens": 8291, + "estimated_eval_tokens": 16838 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated bug reports across loading, schedulers, pipelines, and docs. I found no pair that clearly describes the same underlying defect, so no soft edges were accepted.", + "confidence": 0.95, + "canonical_issue_reason": "issue:10016 is the strongest representative: recent, specific, and has a concrete loading failure with a clear error (`from_single_file` / `pos_embed.pos_embed` shape mismatch).", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10016 is the most actionable issue in the set, with a narrow scope and explicit failure mode that is easy to triage and fix.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5162", + "right": "issue:5968", + "accept": false, + "reason": "Both mention conversion, but one asks for a checkpoint-to-safetensors script and the other asks for ONNX conversion support; different change requests." + }, + { + "left": "issue:5630", + "right": "issue:7762", + "accept": false, + "reason": "Both are image-quality complaints, but they refer to different models/pipelines and different symptoms; not the same bug." + }, + { + "left": "issue:5998", + "right": "issue:9069", + "accept": false, + "reason": "Different failure classes: a bad keyword argument in VersatileDiffusion vs a NumPy type mismatch." + }, + { + "left": "issue:5919", + "right": "issue:6966", + "accept": false, + "reason": "One is a LoRA layer attribute error on Linear modules; the other is missing `attn_processors` after a forward pass. Different code paths." + }, + { + "left": "issue:6561", + "right": "issue:6811", + "accept": false, + "reason": "Both are missing-file errors, but they involve different models and different missing paths/assets." + }, + { + "left": "issue:10016", + "right": "issue:7939", + "accept": false, + "reason": "`from_single_file` shape-mismatch on SD3.5M is not the same as failing to load a model from the same folder." + }, + { + "left": "issue:2068", + "right": "issue:851", + "accept": false, + "reason": "Both involve dtype, but one reports `from_pretrained` not converting model dtype while the other is a half/float mismatch in a separate loading case; not clearly the same bug." + }, + { + "left": "issue:2578", + "right": "issue:6321", + "accept": false, + "reason": "Editable install failure and missing CLIP detection are unrelated." + }, + { + "left": "issue:2250", + "right": "issue:4972", + "accept": false, + "reason": "Different pipelines and different failures: Dreambooth prompt generation vs Wuerstchen example runtime error." + }, + { + "left": "issue:1055", + "right": "issue:1099", + "accept": false, + "reason": "One is about a missing pipeline class; the other is about Dreambooth class naming. No shared underlying defect." + }, + { + "left": "issue:11749", + "right": "issue:9613", + "accept": false, + "reason": "Both mention scheduler/timestep behavior, but the actual errors are different (`floating point errors` vs missing `scale` attribute)." + }, + { + "left": "issue:1273", + "right": "issue:3539", + "accept": false, + "reason": "A loss-calculation question and a `main_process_first` question are unrelated." + }, + { + "left": "issue:3970", + "right": "issue:4618", + "accept": false, + "reason": "Different SDXL usage problems; one is prompt embeddings, the other is a ControlNet/model compatibility question." + }, + { + "left": "issue:5150", + "right": "issue:6685", + "accept": false, + "reason": "Missing `from_single_file` implementation vs unsupported absolute output paths are unrelated." + }, + { + "left": "issue:5405", + "right": "issue:6439", + "accept": false, + "reason": "One is about `from_single_file` not overwriting weights; the other is a docs link 404." + }, + { + "left": "issue:5630", + "right": "issue:7616", + "accept": false, + "reason": "Both are quality/artifact complaints, but they are different models and different conditions; not enough to treat as duplicates." + }, + { + "left": "issue:6242", + "right": "issue:6441", + "accept": false, + "reason": "A request for logs and a Colab `from_pretrained` failure are unrelated." + }, + { + "left": "issue:7054", + "right": "issue:9660", + "accept": false, + "reason": "LoRA state-dict mutation and pipeline eval-mode handling are different behaviors in different methods." + }, + { + "left": "issue:7782", + "right": "issue:9670", + "accept": false, + "reason": "A safetensors unpickling/conversion error and a PEFT backend requirement are different loading problems." + }, + { + "left": "issue:8906", + "right": "issue:9515", + "accept": false, + "reason": "Both mention SD3 transformer internals, but one asks about `qk_norm` and the other about missing RMSNorm in a processor; not the same issue." + }, + { + "left": "issue:11088", + "right": "issue:12082", + "accept": false, + "reason": "Transformer GGUF loading and VAE memory after compile are unrelated." + }, + { + "left": "issue:1363", + "right": "issue:1918", + "accept": false, + "reason": "Different scheduler/example failures on different pipelines; no evidence of the same bug." + }, + { + "left": "issue:4701", + "right": "issue:7450", + "accept": false, + "reason": "Autoencoder CUDA differentiation error vs multi-thread issue are different defects." + }, + { + "left": "issue:6297", + "right": "issue:7322", + "accept": false, + "reason": "Same training script family, but one is a training failure on photos and the other is a SIGKILL during training; not clearly the same root cause." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 345, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1070", + "issue:11363", + "issue:11547", + "issue:11878", + "issue:12060", + "issue:12113", + "issue:12900", + "issue:13065", + "issue:1403", + "issue:1541", + "issue:1730", + "issue:1865", + "issue:1883", + "issue:1969", + "issue:2026", + "issue:2234", + "issue:2761", + "issue:3171", + "issue:347", + "issue:3643", + "issue:3728", + "issue:4263", + "issue:4363", + "issue:4773", + "issue:4919", + "issue:5395", + "issue:5425", + "issue:547", + "issue:5574", + "issue:5578", + "issue:5989", + "issue:6297", + "issue:6366", + "issue:6412", + "issue:6506", + "issue:7147", + "issue:7183", + "issue:759", + "issue:7773", + "issue:7864", + "issue:7891", + "issue:7945", + "issue:7946", + "issue:8918", + "issue:9516", + "issue:9648", + "issue:9792", + "issue:9836" + ], + "soft_pairs": [ + "issue:1883|issue:759", + "issue:4773|issue:4919", + "issue:5574|issue:9516", + "issue:5578|issue:7946", + "issue:11363|issue:12900", + "issue:6506|issue:9648", + "issue:1403|issue:2026", + "issue:1541|issue:1730", + "issue:1969|issue:5425", + "issue:7147|issue:7183", + "issue:11878|issue:12113", + "issue:1070|issue:347", + "issue:11547|issue:13065", + "issue:12060|issue:9836", + "issue:2761|issue:547", + "issue:3171|issue:6412", + "issue:3728|issue:7864", + "issue:4263|issue:8918", + "issue:4363|issue:5989", + "issue:5395|issue:7945", + "issue:7773|issue:9792", + "issue:3643|issue:7891", + "issue:6297|issue:6366", + "issue:1865|issue:2234" + ], + "prepared_review_unit_hash": "ba90c51725a4f610714734dd5a1f5c53f45b46d25655fc63ba2d83b92c659167", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33825, + "estimated_input_tokens": 8457, + "estimated_eval_tokens": 17170 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pair looks like a true duplicate; these are mostly unrelated bugs or feature requests across different models/pipelines. If a representative issue must be chosen, #12113 is the most concrete, reproducible runtime bug report.", + "confidence": 0.89, + "canonical_issue_reason": "#12113 is the clearest concrete bug report: it names the exact pipeline, model behavior, and the tensor-shape mismatch error, making it the strongest representative issue in this set.", + "canonical_pr_reason": null, + "best_issue_reason": "#12113 is the most suitable global representative because it is specific, actionable, and tied to a precise failing code path rather than a broad feature request or vague report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1883", + "right": "issue:759", + "accept": false, + "reason": "Both are SD-related, but one is about VAE gradient checkpointing and the other about textual inversion save behavior; different code paths and failures." + }, + { + "left": "issue:4773", + "right": "issue:4919", + "accept": false, + "reason": "Both mention LoRA, but one is about loading a CivitAI LoRA and the other is a feature for multi-LoRA fusion; not the same bug." + }, + { + "left": "issue:5574", + "right": "issue:9516", + "accept": false, + "reason": "Training LoRA attention parameters is unrelated to FLUX joint_attention_kwargs not being forwarded." + }, + { + "left": "issue:5578", + "right": "issue:7946", + "accept": false, + "reason": "A missing model_index.json error is not the same as custom_pipeline cache behavior." + }, + { + "left": "issue:11363", + "right": "issue:12900", + "accept": false, + "reason": "Both are OOM reports, but they involve different models and scenarios; not the same underlying memory bug." + }, + { + "left": "issue:6506", + "right": "issue:9648", + "accept": false, + "reason": "One is an output-type API mismatch in Stable Video Diffusion; the other is a VAE tiling memory overflow issue." + }, + { + "left": "issue:1403", + "right": "issue:2026", + "accept": false, + "reason": "Safety checker image differences and cpu_offload failure in PaintByExample are unrelated." + }, + { + "left": "issue:1541", + "right": "issue:1730", + "accept": false, + "reason": "Both touch DreamBooth/CKPT loading, but one is model-type detection in DreamBooth and the other is a conversion/webui loading problem." + }, + { + "left": "issue:1969", + "right": "issue:5425", + "accept": false, + "reason": "Tensor view/stride incompatibility is a runtime tensor bug, while the other is checkpoint-saving compatibility with accelerate/PT 2.1." + }, + { + "left": "issue:7147", + "right": "issue:7183", + "accept": false, + "reason": "Importing StableCascadeDecoderPipeline and scheduler class-name display are unrelated issues." + }, + { + "left": "issue:11878", + "right": "issue:12113", + "accept": false, + "reason": "Both are Wan-related, but one is a GGUF/1.3B loading problem and the other is an input-channel mismatch in a different pipeline path." + }, + { + "left": "issue:1070", + "right": "issue:347", + "accept": false, + "reason": "Stable diffusion inpainting bug and pip install dependency resolution are unrelated." + }, + { + "left": "issue:11547", + "right": "issue:13065", + "accept": false, + "reason": "One is a Flux fill ControlNet support feature and the other is a Qwen-Image ControlNet inpaint/canny request; different models and changes." + }, + { + "left": "issue:12060", + "right": "issue:9836", + "accept": false, + "reason": "A question about DiT blocks and a feature request to record layer_id are not the same bug or change." + }, + { + "left": "issue:2761", + "right": "issue:547", + "accept": false, + "reason": "Both ask for documentation, but they concern different topics and doc pages." + }, + { + "left": "issue:3171", + "right": "issue:6412", + "accept": false, + "reason": "LPW prompts for ControlNet and ControlNet annotators to ONNX are different features." + }, + { + "left": "issue:3728", + "right": "issue:7864", + "accept": false, + "reason": "Different new pipeline proposals for different generation tasks; not the same underlying change." + }, + { + "left": "issue:4263", + "right": "issue:8918", + "accept": false, + "reason": "LoRA unloading and SD3 DreamBooth training failures are unrelated." + }, + { + "left": "issue:4363", + "right": "issue:5989", + "accept": false, + "reason": "Loading a specific SDXL VAE file and a safetensors.torch bug may overlap loosely, but the reports do not identify the same concrete failure." + }, + { + "left": "issue:5395", + "right": "issue:7945", + "accept": false, + "reason": "A PEFT LoRA combination bug and a community-pipeline image-generation feature are unrelated." + }, + { + "left": "issue:7773", + "right": "issue:9792", + "accept": false, + "reason": "Stable Video Diffusion batch-size bug and dataset cache loading failure are different problems." + }, + { + "left": "issue:3643", + "right": "issue:7891", + "accept": false, + "reason": "Latent decode INT_MAX limitation and mixed-device tensor error are distinct runtime failures." + }, + { + "left": "issue:6297", + "right": "issue:6366", + "accept": false, + "reason": "Both concern SDXL DreamBooth LoRA training, but one is about training on photos and the other is about checkpoint reload correctness; not the same bug." + }, + { + "left": "issue:1865", + "right": "issue:2234", + "accept": false, + "reason": "Zero stage3 dimension errors and xformers finetuning failures are separate training issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 346, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10381", + "issue:10526", + "issue:10782", + "issue:10920", + "issue:10928", + "issue:11055", + "issue:11083", + "issue:11447", + "issue:11872", + "issue:1197", + "issue:12433", + "issue:1284", + "issue:13256", + "issue:1922", + "issue:2439", + "issue:244", + "issue:2459", + "issue:280", + "issue:3287", + "issue:3574", + "issue:3853", + "issue:3885", + "issue:3908", + "issue:4057", + "issue:4236", + "issue:4250", + "issue:4453", + "issue:4468", + "issue:4680", + "issue:4788", + "issue:5064", + "issue:5150", + "issue:5160", + "issue:5225", + "issue:5567", + "issue:660", + "issue:7492", + "issue:7591", + "issue:7752", + "issue:7785", + "issue:7864", + "issue:7955", + "issue:8541", + "issue:8594", + "issue:8637", + "issue:9025", + "issue:9241", + "issue:9450" + ], + "soft_pairs": [ + "issue:2439|issue:660", + "issue:10920|issue:7785", + "issue:11872|issue:9450", + "issue:4236|issue:5064", + "issue:7864|issue:7955", + "issue:1922|issue:3574", + "issue:3853|issue:7591", + "issue:3908|issue:4250", + "issue:10381|issue:10526", + "issue:12433|issue:13256", + "issue:1284|issue:4468", + "issue:10928|issue:7492", + "issue:10782|issue:11055", + "issue:11083|issue:8637", + "issue:11447|issue:8541", + "issue:1197|issue:3287", + "issue:244|issue:280", + "issue:2459|issue:5567", + "issue:3885|issue:8594", + "issue:4057|issue:7752", + "issue:4453|issue:4680", + "issue:4788|issue:5225", + "issue:5150|issue:9025", + "issue:5160|issue:9241" + ], + "prepared_review_unit_hash": "5d8670a2d67daf8a67e7fa5d79618981cd7013b903511d3ca36deff5e8bc1928", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34080, + "estimated_input_tokens": 8520, + "estimated_eval_tokens": 17296 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set does not look like a duplicate cluster: it mixes unrelated issues across loading, training, multi-GPU, documentation, and scheduler behavior. No single canonical issue or PR stands out.", + "confidence": 0.97, + "canonical_issue_reason": "No canonical issue: the items are heterogeneous and do not share one underlying bug or change.", + "canonical_pr_reason": null, + "best_issue_reason": "No single best issue for deduping; issue:11872 is the most detailed, but it is not representative of the unrelated issues in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2439", + "right": "issue:660", + "accept": false, + "reason": "Different problems: inpainting pipeline loading/running vs MPS fp16 execution on Apple Silicon." + }, + { + "left": "issue:10920", + "right": "issue:7785", + "accept": false, + "reason": "Scheduler numerical overflow bug vs first-inference slowness; same area, different underlying issue." + }, + { + "left": "issue:11872", + "right": "issue:9450", + "accept": false, + "reason": "Both involve device movement/multi-GPU, but one is CPU offloading inefficiency and the other is Flux multi-GPU tensor placement mismatch." + }, + { + "left": "issue:4236", + "right": "issue:5064", + "accept": false, + "reason": "Refiner text-encoder registration bug vs out-of-memory during refiner inference; not the same fix." + }, + { + "left": "issue:7864", + "right": "issue:7955", + "accept": false, + "reason": "Unrelated video-generation feature requests, not the same bug or change." + }, + { + "left": "issue:1922", + "right": "issue:3574", + "accept": false, + "reason": "Undefined notebook helper vs Windows checkpoint-loading issue; separate code paths." + }, + { + "left": "issue:3853", + "right": "issue:7591", + "accept": false, + "reason": "Both mention HeaderTooLarge, but one is LoRA weight loading and the other is from_single_file with local_files_only; not enough to treat as one bug." + }, + { + "left": "issue:3908", + "right": "issue:4250", + "accept": false, + "reason": "Streamlit caching/performance question vs incorrect from_pretrained loading behavior." + }, + { + "left": "issue:10381", + "right": "issue:10526", + "accept": false, + "reason": "Both mention Flux and Quanto, but 10526 is a specific WeightQBytesTensor TypeError while 10381 also involves LoRA/zero-GPU spaces; not clearly the same fix." + }, + { + "left": "issue:12433", + "right": "issue:13256", + "accept": false, + "reason": "Documentation/version pinning problem vs a general compatibility claim about package versions; different issues." + }, + { + "left": "issue:1284", + "right": "issue:4468", + "accept": false, + "reason": "Batch-size timing slowdown vs multi-GPU vs single-GPU performance differences; related theme, different bug." + }, + { + "left": "issue:10928", + "right": "issue:7492", + "accept": false, + "reason": "Missing local shard file vs repository-not-found API error; different loading failures." + }, + { + "left": "issue:10782", + "right": "issue:11055", + "accept": false, + "reason": "Lumina minor issue vs colorized unconditional training output; unrelated symptoms and code paths." + }, + { + "left": "issue:11083", + "right": "issue:8637", + "accept": false, + "reason": "DDP stride-mismatch warning vs missing PixArtSigmaPipeline import; unrelated." + }, + { + "left": "issue:11447", + "right": "issue:8541", + "accept": false, + "reason": "Offline shard-file lookup failure vs bad SD3 model repository URL; both hub-related but not the same bug." + }, + { + "left": "issue:1197", + "right": "issue:3287", + "accept": false, + "reason": "Community pipeline proposal vs support for improved DDPM; different feature requests." + }, + { + "left": "issue:244", + "right": "issue:280", + "accept": false, + "reason": "Contributor formatting docs vs adding a scheduler; no overlap in underlying change." + }, + { + "left": "issue:2459", + "right": "issue:5567", + "accept": false, + "reason": "xFormers training-script issue vs Accelerator overwriting unet.config; different code paths and fixes." + }, + { + "left": "issue:3885", + "right": "issue:8594", + "accept": false, + "reason": "VRAM reduction request vs UnboundLocalError in SD3 LoRA training script; unrelated." + }, + { + "left": "issue:4057", + "right": "issue:7752", + "accept": false, + "reason": "Blurred finetuned inpainting output vs class-image count question; not the same bug." + }, + { + "left": "issue:4453", + "right": "issue:4680", + "accept": false, + "reason": "LoRA conversion tooling vs SDXL inpainting finetuning; different topics." + }, + { + "left": "issue:4788", + "right": "issue:5225", + "accept": false, + "reason": "Both are memory-related, but one is SDXL inpainting OOM and the other is forward-pass OOM during training; not the same concrete issue." + }, + { + "left": "issue:5150", + "right": "issue:9025", + "accept": false, + "reason": "Missing from_single_file on one pipeline vs a Flax TPU usage question on another pipeline; not the same bug." + }, + { + "left": "issue:5160", + "right": "issue:9241", + "accept": false, + "reason": "Dreambooth/LoRA masking request vs LoRA conversion script request; unrelated changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 347, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10085", + "issue:10227", + "issue:1066", + "issue:10710", + "issue:10860", + "issue:10963", + "issue:11062", + "issue:11321", + "issue:11343", + "issue:12610", + "issue:13001", + "issue:2841", + "issue:2941", + "issue:2966", + "issue:3431", + "issue:3781", + "issue:4418", + "issue:459", + "issue:4598", + "issue:4615", + "issue:5002", + "issue:5166", + "issue:5442", + "issue:5710", + "issue:5763", + "issue:5846", + "issue:6313", + "issue:6444", + "issue:6481", + "issue:6533", + "issue:6632", + "issue:6949", + "issue:7057", + "issue:7593", + "issue:7836", + "issue:7950", + "issue:8637", + "issue:8708", + "issue:8759", + "issue:8786", + "issue:9051", + "issue:9138", + "issue:9267", + "issue:9370", + "issue:9387", + "issue:9523", + "issue:9953" + ], + "soft_pairs": [ + "issue:5442|issue:6313", + "issue:6533|issue:9387", + "issue:7593|issue:9267", + "issue:8759|issue:8786", + "issue:4418|issue:5763", + "issue:5846|issue:9523", + "issue:10085|issue:9051", + "issue:11062|issue:13001", + "issue:5710|issue:6949", + "issue:10227|issue:9138", + "issue:12610|issue:9953", + "issue:2841|issue:459", + "issue:2966|issue:6444", + "issue:1066|issue:3781", + "issue:10710|issue:9138", + "issue:10860|issue:10963", + "issue:11321|issue:7836", + "issue:11343|issue:8637", + "issue:2941|issue:3431", + "issue:4598|issue:5002", + "issue:4615|issue:7950", + "issue:5166|issue:9370", + "issue:6481|issue:7057", + "issue:6632|issue:8708" + ], + "prepared_review_unit_hash": "60e24e6c4b08a99aec683114571a04bb59f245042292f8c459305fe95856370f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33619, + "estimated_input_tokens": 8405, + "estimated_eval_tokens": 17066 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set; it\u2019s a loose similarity bucket spanning unrelated diffusers bugs, features, training-script issues, scheduler problems, and import regressions. None of the proposed soft pairs look like the same underlying bug/change.", + "confidence": 0.78, + "canonical_issue_reason": "Issue 10085 is the best representative of the cluster\u2019s broadest recurring theme (LoRA/batch-inference runtime failures), but the set is too heterogeneous for a strong canonical duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10085 is the most concrete and central-sounding single bug report among otherwise unrelated items; it is the strongest candidate if one issue must anchor the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5442", + "right": "issue:6313", + "accept": false, + "reason": "Higher-resolution generation pipeline request vs a Null-Text Inversion pipeline implementation request; different features and code paths." + }, + { + "left": "issue:6533", + "right": "issue:9387", + "accept": false, + "reason": "Monocular depth estimation pipeline vs MimicMotion pipeline; unrelated pipeline features." + }, + { + "left": "issue:7593", + "right": "issue:9267", + "accept": false, + "reason": "IP-Adapter embed preparation NoneType error vs missing rope attribute in Flux transformer; different failure sites." + }, + { + "left": "issue:8759", + "right": "issue:8786", + "accept": false, + "reason": "SD3 image cast warning vs SD3 token-limit behavior; not the same bug." + }, + { + "left": "issue:4418", + "right": "issue:5763", + "accept": false, + "reason": "SDXL inpaint denoising_start bug vs save_pretrained safetensors serialization bug; unrelated behavior." + }, + { + "left": "issue:5846", + "right": "issue:9523", + "accept": false, + "reason": "Checkpoint resume error in an SDXL LoRA script vs mapping errors in SD3/SDXL/Flux controlnet training scripts; different concrete problems." + }, + { + "left": "issue:10085", + "right": "issue:9051", + "accept": false, + "reason": "Both mention batch inference, but one is a LyCORIS runtime error with skip_guidance_layers and the other is FluxPipeline batch-inference support; not the same bug." + }, + { + "left": "issue:11062", + "right": "issue:13001", + "accept": false, + "reason": "CivitAI LoRA load failure vs Flux2.Klein GGUF shape mismatch; different models and error causes." + }, + { + "left": "issue:5710", + "right": "issue:6949", + "accept": false, + "reason": "Missing sigmas initialization in a scheduler vs blank images at even step numbers; related area, but different defects." + }, + { + "left": "issue:10227", + "right": "issue:9138", + "accept": false, + "reason": "LoRA feature-limit NotImplementedError vs a generic int/str comparison TypeError; no shared underlying bug." + }, + { + "left": "issue:12610", + "right": "issue:9953", + "accept": false, + "reason": "Both involve quantization/offload, but one is device mismatch under Quanto + Group Offload and the other is cuda transfer failure for a quantized component; not clearly mergeable." + }, + { + "left": "issue:2841", + "right": "issue:459", + "accept": false, + "reason": "Scheduler temperature feature request vs incremental diffusion concept; unrelated requests." + }, + { + "left": "issue:2966", + "right": "issue:6444", + "accept": false, + "reason": "Multi-GPU example problem vs LoRA checkpointing/peft_config AttributeError; different training-script bugs." + }, + { + "left": "issue:1066", + "right": "issue:3781", + "accept": false, + "reason": "Docs builder behavior for forked PRs vs multiple-LoRA loading regression; unrelated." + }, + { + "left": "issue:10710", + "right": "issue:9138", + "accept": false, + "reason": "DDUF support question vs generic TypeError; no overlap in bug/change." + }, + { + "left": "issue:10860", + "right": "issue:10963", + "accept": false, + "reason": "LoRA compatibility in ComfyUI vs missing AutoencoderKLWan import; different subsystems." + }, + { + "left": "issue:11321", + "right": "issue:7836", + "accept": false, + "reason": "Flux ControlNet README bug vs CLIP training overfitting issue; not the same change or defect." + }, + { + "left": "issue:11343", + "right": "issue:8637", + "accept": false, + "reason": "Transformer-update import breakage vs missing PixArtSigmaPipeline import; both import-related, but different missing symbols and causes." + }, + { + "left": "issue:2941", + "right": "issue:3431", + "accept": false, + "reason": "Scheduler output quality issue vs inpainting + ControlNet poor results; same broad area, but distinct bugs." + }, + { + "left": "issue:4598", + "right": "issue:5002", + "accept": false, + "reason": "Missing informative dependency errors vs missing use_karras_sigmas argument on schedulers; unrelated defects." + }, + { + "left": "issue:4615", + "right": "issue:7950", + "accept": false, + "reason": "Pipeline import failure vs PyTorch compatibility problem; different layers of the stack." + }, + { + "left": "issue:5166", + "right": "issue:9370", + "accept": false, + "reason": "VQVAE scaling-factor omission vs missing pooled_projection argument in an embedding forward path; unrelated bugs." + }, + { + "left": "issue:6481", + "right": "issue:7057", + "accept": false, + "reason": "Dreambooth batch-size >1 failure vs an unspecified checkpoint loading issue; not enough evidence of sameness." + }, + { + "left": "issue:6632", + "right": "issue:8708", + "accept": false, + "reason": "Question about save_state in LoRA training vs missing shift_factor in SD3 dreambooth examples; different topics." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 348, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10638", + "issue:11045", + "issue:11232", + "issue:1156", + "issue:12666", + "issue:12881", + "issue:1323", + "issue:1572", + "issue:1798", + "issue:2233", + "issue:2645", + "issue:2673", + "issue:2961", + "issue:3103", + "issue:3249", + "issue:3296", + "issue:3467", + "issue:3871", + "issue:3967", + "issue:4340", + "issue:4580", + "issue:4686", + "issue:487", + "issue:5109", + "issue:5365", + "issue:5429", + "issue:5475", + "issue:5567", + "issue:5693", + "issue:579", + "issue:6726", + "issue:6958", + "issue:7300", + "issue:7350", + "issue:7400", + "issue:7438", + "issue:7456", + "issue:7991", + "issue:8507", + "issue:8511", + "issue:8788", + "issue:9090", + "issue:9161", + "issue:9467", + "issue:9534", + "issue:9793", + "issue:9844", + "issue:9889" + ], + "soft_pairs": [ + "issue:7400|issue:9889", + "issue:7438|issue:9793", + "issue:5475|issue:6726", + "issue:3467|issue:3871", + "issue:7991|issue:9090", + "issue:1323|issue:579", + "issue:1572|issue:3103", + "issue:4340|issue:8507", + "issue:5693|issue:8788", + "issue:1156|issue:3296", + "issue:3249|issue:487", + "issue:2645|issue:5365", + "issue:10638|issue:9844", + "issue:12666|issue:12881", + "issue:1798|issue:5429", + "issue:2233|issue:2961", + "issue:3967|issue:6958", + "issue:7300|issue:7350", + "issue:7456|issue:9467", + "issue:11232|issue:8511", + "issue:4580|issue:5109", + "issue:2673|issue:4686", + "issue:5567|issue:9534", + "issue:11045|issue:9161" + ], + "prepared_review_unit_hash": "4fc957a17bd379a85fa2058509618fc251c3853cca9a13d6e32813629ca7fdc7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33636, + "estimated_input_tokens": 8409, + "estimated_eval_tokens": 17074 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very noisy: the paired issues span unrelated pipelines, schedulers, training scripts, model families, and error modes. None of the proposed soft pairs looks like the same underlying bug.", + "confidence": 0.27, + "canonical_issue_reason": "No strong canonical issue: the set is heterogeneous. If forced to pick the closest representative, issue 8511 is the most concrete training-script bug, but it is not a true cluster center.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 8511 is the most narrowly scoped and actionable bug report in the set (a specific SD3 dreambooth/lora text-encoder unloading problem), but the overall cluster is too mixed for a clean global best.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7400", + "right": "issue:9889", + "accept": false, + "reason": "Different failures and code paths: stable video diffusion black images vs SDXL-turbo segfault with a specific torch/CUDA combo." + }, + { + "left": "issue:7438", + "right": "issue:9793", + "accept": false, + "reason": "XPU generation stall/loading issue is unrelated to a progress bar refresh bug." + }, + { + "left": "issue:5475", + "right": "issue:6726", + "accept": false, + "reason": "Different models/tasks: LaVie video generation vs CCSR super-resolution." + }, + { + "left": "issue:3467", + "right": "issue:3871", + "accept": false, + "reason": "Both involve resuming training, but one is ControlNet step accounting and the other is a text-to-image checkpoint loading error; not the same bug." + }, + { + "left": "issue:7991", + "right": "issue:9090", + "accept": false, + "reason": "A training tutorial bug is unrelated to a scheduler timestep repetition bug." + }, + { + "left": "issue:1323", + "right": "issue:579", + "accept": false, + "reason": "Missing dtype in Flax model configs is unrelated to missing config.json for textual inversion." + }, + { + "left": "issue:1572", + "right": "issue:3103", + "accept": false, + "reason": "Both touch inpainting, but one is pipeline support/compatibility and the other is height/width handling." + }, + { + "left": "issue:4340", + "right": "issue:8507", + "accept": false, + "reason": "Both are training-related, but SDXL LoRA train_text_encoder failure and SD3 train_dreambooth_lora_sd3 failure are different model/script paths." + }, + { + "left": "issue:5693", + "right": "issue:8788", + "accept": false, + "reason": "VAE loading errors and VAE tiling support limitations are different problems." + }, + { + "left": "issue:1156", + "right": "issue:3296", + "accept": false, + "reason": "Generic training failure does not match a specific checkpoint save/load bug when using text_encoder." + }, + { + "left": "issue:3249", + "right": "issue:487", + "accept": false, + "reason": "AttnUpBlock2D argument mismatch is unrelated to M1 CPU runtime failure." + }, + { + "left": "issue:2645", + "right": "issue:5365", + "accept": false, + "reason": "ControlNet CUDA assertion on mac M1 is unrelated to a txt2video num_inference_steps error." + }, + { + "left": "issue:10638", + "right": "issue:9844", + "accept": false, + "reason": "Scheduler scheduling bug and SDXL VAE NaNs are different components with different symptoms." + }, + { + "left": "issue:12666", + "right": "issue:12881", + "accept": false, + "reason": "Kandinsky pipeline availability in a release is unrelated to a prompt2prompt word replacement bug." + }, + { + "left": "issue:1798", + "right": "issue:5429", + "accept": false, + "reason": "Both mention training examples, but one is v_prediction support for SD v2 and the other is missing VAE support in examples." + }, + { + "left": "issue:2233", + "right": "issue:2961", + "accept": false, + "reason": "Textual inversion validation/gradient accumulation issues are not the same as a StableUnCLIP training example request." + }, + { + "left": "issue:3967", + "right": "issue:6958", + "accept": false, + "reason": "A deleted branch regression is unrelated to a UNet motion model configuration bug." + }, + { + "left": "issue:7300", + "right": "issue:7350", + "accept": false, + "reason": "Memory bloat after set_default_attn_processor and ControlNet-from-LoRA initialization are different code-path bugs." + }, + { + "left": "issue:7456", + "right": "issue:9467", + "accept": false, + "reason": "A missing raise statement is unrelated to a num_frames guard-rail bug." + }, + { + "left": "issue:11232", + "right": "issue:8511", + "accept": false, + "reason": "Text-to-image fine-tuning noise residuals and SD3 text-encoder unloading are different training issues with different failure modes." + }, + { + "left": "issue:4580", + "right": "issue:5109", + "accept": false, + "reason": "UniPC/karras sigma scheduler exception is unrelated to SDXL ControlNet LoRA loading." + }, + { + "left": "issue:2673", + "right": "issue:4686", + "accept": false, + "reason": "StableDiffusionUpscalePipeline config verification failure is not the same as failure to load a saved pipeline from_pretrained." + }, + { + "left": "issue:5567", + "right": "issue:9534", + "accept": false, + "reason": "These are both config-attribute problems, but they affect different objects and stem from different causes." + }, + { + "left": "issue:11045", + "right": "issue:9161", + "accept": false, + "reason": "Same script family, but one is a model-loading crash and the other is distributed training bugs; not the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 349, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10045", + "issue:10287", + "issue:10829", + "issue:10950", + "issue:11486", + "issue:1246", + "issue:1335", + "issue:1530", + "issue:1572", + "issue:1717", + "issue:181", + "issue:2177", + "issue:2440", + "issue:2444", + "issue:2737", + "issue:2803", + "issue:3627", + "issue:3698", + "issue:4264", + "issue:4374", + "issue:4400", + "issue:4453", + "issue:4615", + "issue:4806", + "issue:4830", + "issue:4841", + "issue:5004", + "issue:5079", + "issue:5327", + "issue:5466", + "issue:5647", + "issue:6109", + "issue:6801", + "issue:7043", + "issue:7080", + "issue:7185", + "issue:725", + "issue:7267", + "issue:759", + "issue:7686", + "issue:8543", + "issue:8593", + "issue:8786", + "issue:9023", + "issue:9225", + "issue:9237", + "issue:9366", + "issue:9568" + ], + "soft_pairs": [ + "issue:4806|issue:7686", + "issue:11486|issue:9237", + "issue:5647|issue:9366", + "issue:10045|issue:6801", + "issue:10829|issue:7043", + "issue:1572|issue:2440", + "issue:181|issue:2444", + "issue:2737|issue:4400", + "issue:3698|issue:759", + "issue:4264|issue:4453", + "issue:4374|issue:4841", + "issue:4830|issue:9225", + "issue:5004|issue:8543", + "issue:5079|issue:725", + "issue:6109|issue:7080", + "issue:7185|issue:9568", + "issue:8593|issue:8786", + "issue:10287|issue:9023", + "issue:1717|issue:2177", + "issue:10950|issue:7267", + "issue:2803|issue:4615", + "issue:1246|issue:3627", + "issue:1335|issue:1530", + "issue:5327|issue:5466" + ], + "prepared_review_unit_hash": "7e07f2cd7fa040a53d052fe0a1450ee39d6a294865f3cf8d8afa3a52c863715b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33527, + "estimated_input_tokens": 8382, + "estimated_eval_tokens": 17020 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is not a true duplicate cluster: the items span unrelated docs, training, loading, and pipeline bugs across different code paths. All soft pairs should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No issue cleanly represents the whole set; if forced, issue 9023 is the broadest generic user-facing failure, but it still does not subsume the others.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4806", + "right": "issue:7686", + "accept": false, + "reason": "Both are UNet2DModel-related, but one is a parameter type bug and the other is a missing cross_attention_dim validation error; different defects." + }, + { + "left": "issue:11486", + "right": "issue:9237", + "accept": false, + "reason": "One is a request to enable xformers in a training script; the other is a Flux DreamBooth LoRA training problem. Not the same bug." + }, + { + "left": "issue:5647", + "right": "issue:9366", + "accept": false, + "reason": "Both mention strength in image2image/inpaint flows, but they affect different pipelines and different failure modes." + }, + { + "left": "issue:10045", + "right": "issue:6801", + "accept": false, + "reason": "Importing pipelines and loading schedulers are separate code paths with different symptoms." + }, + { + "left": "issue:10829", + "right": "issue:7043", + "accept": false, + "reason": "OOM during SDXL DreamBooth LoRA inference is unrelated to custom captions in DreamBooth training." + }, + { + "left": "issue:1572", + "right": "issue:2440", + "accept": false, + "reason": "Both touch inpainting, but one is pipeline capability/support and the other is float16 model loading." + }, + { + "left": "issue:181", + "right": "issue:2444", + "accept": false, + "reason": "Different training scripts and different failures; no shared root bug is evident." + }, + { + "left": "issue:2737", + "right": "issue:4400", + "accept": false, + "reason": "CLIP guidance support for a scheduler is unrelated to text_encoder support in a DreamBooth LoRA training script." + }, + { + "left": "issue:3698", + "right": "issue:759", + "accept": false, + "reason": "Model conversion to diffusers and making full-model saving optional are distinct feature requests." + }, + { + "left": "issue:4264", + "right": "issue:4453", + "accept": false, + "reason": "Missing example images and LoRA conversion for Auto1111 are unrelated issues." + }, + { + "left": "issue:4374", + "right": "issue:4841", + "accept": false, + "reason": "Both involve ControlNet/inpaint image sizes, but they target different pipelines and likely different bugs." + }, + { + "left": "issue:4830", + "right": "issue:9225", + "accept": false, + "reason": "Both are size-mismatch reports, but one is MultiControlNet tensors and the other is RGBA latents in an instruct-pix2pix pipeline." + }, + { + "left": "issue:5004", + "right": "issue:8543", + "accept": false, + "reason": "Both are DreamBooth training issues, but they concern different models and different failure conditions." + }, + { + "left": "issue:5079", + "right": "issue:725", + "accept": false, + "reason": "Loading a specific LoRA type is unrelated to adding device map/accelerate support for pipeline loading." + }, + { + "left": "issue:6109", + "right": "issue:7080", + "accept": false, + "reason": "A ControlNet-xs model request and a wandb inference-output mismatch are not the same bug." + }, + { + "left": "issue:7185", + "right": "issue:9568", + "accept": false, + "reason": "PyTorch version support question and CogVideoX autoencoder reconstruction failure are unrelated." + }, + { + "left": "issue:8593", + "right": "issue:8786", + "accept": false, + "reason": "Both are SD3 issues, but one is bfloat16 CPU generation noise and the other is token-length handling." + }, + { + "left": "issue:10287", + "right": "issue:9023", + "accept": false, + "reason": "Both are generic code-example failures, but one is a Hugging Face doc example and the other is a sample code runtime issue; not the same defect." + }, + { + "left": "issue:1717", + "right": "issue:2177", + "accept": false, + "reason": "Offline cache loading and AutoencoderKL loading failure are different pretrained-model loading problems." + }, + { + "left": "issue:10950", + "right": "issue:7267", + "accept": false, + "reason": "Broken docs and broken local training-data loading are unrelated." + }, + { + "left": "issue:2803", + "right": "issue:4615", + "accept": false, + "reason": "Local docs build failure on WSL2 and an import error for a pipeline class are different issues." + }, + { + "left": "issue:1246", + "right": "issue:3627", + "accept": false, + "reason": "Both are training-example errors, but they involve different scripts and different root causes." + }, + { + "left": "issue:1335", + "right": "issue:1530", + "accept": false, + "reason": "Missing constructor args on different pipeline classes are not duplicates." + }, + { + "left": "issue:5327", + "right": "issue:5466", + "accept": false, + "reason": "SDXL textual inversion loading and SDXL LoRA shape mismatch are distinct adapter-loading bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 350, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10165", + "issue:1101", + "issue:11321", + "issue:1141", + "issue:11547", + "issue:12308", + "issue:1358", + "issue:2024", + "issue:2163", + "issue:2265", + "issue:2359", + "issue:2616", + "issue:2856", + "issue:3174", + "issue:3403", + "issue:3612", + "issue:3661", + "issue:3933", + "issue:4236", + "issue:4256", + "issue:4562", + "issue:4677", + "issue:4975", + "issue:5009", + "issue:5070", + "issue:5079", + "issue:5245", + "issue:525", + "issue:5313", + "issue:5689", + "issue:6238", + "issue:6321", + "issue:646", + "issue:6520", + "issue:6921", + "issue:6928", + "issue:6949", + "issue:699", + "issue:7061", + "issue:7147", + "issue:7877", + "issue:7968", + "issue:8673", + "issue:9239", + "issue:9599", + "issue:9613", + "issue:9619" + ], + "soft_pairs": [ + "issue:6238|issue:6921", + "issue:11321|issue:9239", + "issue:11547|issue:9599", + "issue:12308|issue:9619", + "issue:1358|issue:699", + "issue:2024|issue:646", + "issue:2359|issue:3612", + "issue:3403|issue:7061", + "issue:3933|issue:4975", + "issue:7968|issue:8673", + "issue:3661|issue:6321", + "issue:4236|issue:4677", + "issue:5245|issue:7147", + "issue:2163|issue:2265", + "issue:4256|issue:5009", + "issue:10165|issue:9613", + "issue:1101|issue:1141", + "issue:2616|issue:525", + "issue:2856|issue:4562", + "issue:3174|issue:5313", + "issue:5070|issue:6928", + "issue:5079|issue:7877", + "issue:5689|issue:6921", + "issue:6520|issue:6949" + ], + "prepared_review_unit_hash": "d853243fdc15e0319e38ebc356974f9a34d6d62005a53d4f742cf7b80cb6d052", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32966, + "estimated_input_tokens": 8242, + "estimated_eval_tokens": 16740 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set; it mixes many unrelated issues across LoRA, SDXL, ControlNet, schedulers, model conversion, docs, and attention. None of the soft edge pairs should be merged.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue fits: the items span unrelated bugs and feature requests, so there is no clear duplicate target for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is globally suitable as a canonical duplicate target for this cluster because the topics are too heterogeneous.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6238", + "right": "issue:6921", + "accept": false, + "reason": "SDXL VAE behavior vs SDXL shipped weights deviation; related domain, but not the same bug or fix." + }, + { + "left": "issue:11321", + "right": "issue:9239", + "accept": false, + "reason": "ReadMe bug for Flux controlnet training vs black output from ControlNet-Canny; different problem types and code paths." + }, + { + "left": "issue:11547", + "right": "issue:9599", + "accept": false, + "reason": "Flux fill dev controlnet support request vs request for a LoRA-only FLUX.1 example; separate feature asks." + }, + { + "left": "issue:12308", + "right": "issue:9619", + "accept": false, + "reason": "flash-attn support on non-Hopper GPUs is unrelated to adding interrupt support to a ControlNet pipeline." + }, + { + "left": "issue:1358", + "right": "issue:699", + "accept": false, + "reason": "Safetensors support and negative prompts are different features with no shared bug." + }, + { + "left": "issue:2024", + "right": "issue:646", + "accept": false, + "reason": "Corrupted notebook file vs missing set_format on an old scheduler; unrelated issues." + }, + { + "left": "issue:2359", + "right": "issue:3612", + "accept": false, + "reason": "Img2Img latent output_type support vs creating ControlNet without a model; different pipeline changes." + }, + { + "left": "issue:3403", + "right": "issue:7061", + "accept": false, + "reason": "TorchDynamo pipeline loading bug vs incorrect community pipeline docstring; code bug vs documentation issue." + }, + { + "left": "issue:3933", + "right": "issue:4975", + "accept": false, + "reason": "Graph compile logging failure vs slow LoRA loading from repeated dtype queries; different subsystems and fixes." + }, + { + "left": "issue:7968", + "right": "issue:8673", + "accept": false, + "reason": "UNetMotionModel attention behavior vs missing attention masks in SD3; both attention-related but not the same defect." + }, + { + "left": "issue:3661", + "right": "issue:6321", + "accept": false, + "reason": "from_ckpt failing on SD2 weights vs CLIP model detection failure; different loading paths and causes." + }, + { + "left": "issue:4236", + "right": "issue:4677", + "accept": false, + "reason": "SDXL refiner text encoder registration issue vs broken inpainting doc script; unrelated problems." + }, + { + "left": "issue:5245", + "right": "issue:7147", + "accept": false, + "reason": "pipenv import freeze vs missing StableCascadeDecoderPipeline import; no common bug or change." + }, + { + "left": "issue:2163", + "right": "issue:2265", + "accept": false, + "reason": "UNet dtype mismatch in train_text_to_image vs ONNXRuntime incompatibility in unconditional training; distinct failures." + }, + { + "left": "issue:4256", + "right": "issue:5009", + "accept": false, + "reason": "SDXL Dreambooth error vs Wuerstchen error; different models and error causes." + }, + { + "left": "issue:10165", + "right": "issue:9613", + "accept": false, + "reason": "LoRA seed preservation on scale change vs Timesteps.scale attribute error; completely different code paths." + }, + { + "left": "issue:1101", + "right": "issue:1141", + "accept": false, + "reason": "DPM-Solver scheduler request vs local file support in custom pipelines; unrelated feature requests." + }, + { + "left": "issue:2616", + "right": "issue:525", + "accept": false, + "reason": "save_attn_procs NoneType replace error vs local-disk image loading notebook issue; different symptoms and fixes." + }, + { + "left": "issue:2856", + "right": "issue:4562", + "accept": false, + "reason": "Generic SD-to-diffusers conversion vs XL safetensors-to-pipeline conversion; both about conversion, but not the same concrete bug." + }, + { + "left": "issue:3174", + "right": "issue:5313", + "accept": false, + "reason": "LoRA/Dreambooth loading regression vs non-revertible LoRA fuse; separate LoRA behaviors." + }, + { + "left": "issue:5070", + "right": "issue:6928", + "accept": false, + "reason": "ControlNet training flags request vs depthmap colorization option; unrelated features." + }, + { + "left": "issue:5079", + "right": "issue:7877", + "accept": false, + "reason": "Lycoris loading support vs Attention out_dim argument; different APIs entirely." + }, + { + "left": "issue:5689", + "right": "issue:6921", + "accept": false, + "reason": "DPM++ residual noise in SDXL images vs SDXL weights deviation; same model family, but different underlying issues." + }, + { + "left": "issue:6520", + "right": "issue:6949", + "accept": false, + "reason": "Blank validation results during adapter training vs blank images at even steps in DPMSolverSinglestepScheduler; different bugs and contexts." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 351, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10017", + "issue:10198", + "issue:11035", + "issue:11136", + "issue:11447", + "issue:12060", + "issue:12195", + "issue:12695", + "issue:13225", + "issue:181", + "issue:1923", + "issue:2412", + "issue:3026", + "issue:3120", + "issue:3209", + "issue:3432", + "issue:3808", + "issue:4061", + "issue:4134", + "issue:4178", + "issue:4263", + "issue:4279", + "issue:4354", + "issue:4764", + "issue:4912", + "issue:5368", + "issue:5466", + "issue:5518", + "issue:5577", + "issue:5803", + "issue:5923", + "issue:6520", + "issue:7000", + "issue:7012", + "issue:7049", + "issue:7197", + "issue:7619", + "issue:782", + "issue:7851", + "issue:7962", + "issue:7991", + "issue:8464", + "issue:8604", + "issue:861", + "issue:8732", + "issue:9332", + "issue:9613", + "issue:9822" + ], + "soft_pairs": [ + "issue:3432|issue:7012", + "issue:10017|issue:6520", + "issue:11136|issue:9613", + "issue:3808|issue:7619", + "issue:4134|issue:7851", + "issue:3209|issue:7000", + "issue:4764|issue:5466", + "issue:5923|issue:8732", + "issue:7991|issue:8604", + "issue:5368|issue:7049", + "issue:5577|issue:7197", + "issue:11035|issue:12695", + "issue:11447|issue:12195", + "issue:12060|issue:13225", + "issue:181|issue:3026", + "issue:4061|issue:4263", + "issue:4178|issue:4354", + "issue:4912|issue:7962", + "issue:782|issue:861", + "issue:1923|issue:2412", + "issue:3120|issue:5803", + "issue:4279|issue:5518", + "issue:8464|issue:9332", + "issue:10198|issue:9822" + ], + "prepared_review_unit_hash": "1fa1c51eac68418ac24753878425a3d3927fec73da8ca706dbb4d3edb735bf7f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34115, + "estimated_input_tokens": 8529, + "estimated_eval_tokens": 17314 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster looks like a loose semantic grouping rather than true duplicates: the paired issues span unrelated bugs in training, loading, LoRA handling, conversion, and pipeline behavior. I did not find any pair that clearly shares the same concrete root cause, so all soft edges are rejected.", + "confidence": 0.64, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9332 is the strongest standalone candidate because it is an open, user-facing model-loading failure with a clear symptom and broad impact; the other items are either very specific one-off errors or clearly unrelated topics.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3432", + "right": "issue:7012", + "accept": false, + "reason": "Different failures: CPU half-precision conv error vs. v-prediction producing odd images. Same general training area, but not the same bug." + }, + { + "left": "issue:10017", + "right": "issue:6520", + "accept": false, + "reason": "Loading dataset problem vs. blank validation outputs during adapter training. No shared code-path or symptom." + }, + { + "left": "issue:11136", + "right": "issue:9613", + "accept": false, + "reason": "One is a SanaSprintPipeline feature limitation; the other is a custom-model attribute error in a different version path." + }, + { + "left": "issue:3808", + "right": "issue:7619", + "accept": false, + "reason": "Both are training issues, but for different models and different failures (DeepFloyd IF stage-2 vs. Dreambooth channel mismatch)." + }, + { + "left": "issue:4134", + "right": "issue:7851", + "accept": false, + "reason": "MPS ControlNet tensor-size mismatch is unrelated to concurrent pipeline index-out-of-bounds behavior." + }, + { + "left": "issue:3209", + "right": "issue:7000", + "accept": false, + "reason": "NaNs in AutoencoderKL encoding and a PyTorch deprecation warning are not the same bug." + }, + { + "left": "issue:4764", + "right": "issue:5466", + "accept": false, + "reason": "Both mention LoRA loading, but one is about an OFT-generated LoRA and the other about SDXL img2img shape mismatch; no evidence of the same root cause." + }, + { + "left": "issue:5923", + "right": "issue:8732", + "accept": false, + "reason": "Multi-GPU training hang and checkpoint-saving issues are different failure modes with no concrete overlap." + }, + { + "left": "issue:7991", + "right": "issue:8604", + "accept": false, + "reason": "A basic training tutorial bug is unrelated to corrupted images after converting a T5 encoder to fp16." + }, + { + "left": "issue:5368", + "right": "issue:7049", + "accept": false, + "reason": "Mixed-precision dtype mismatch is unrelated to IP-Adapter unpacking errors." + }, + { + "left": "issue:5577", + "right": "issue:7197", + "accept": false, + "reason": "Different KeyErrors in different flows: ControlNet single-file loading vs. resume-training preprocessing." + }, + { + "left": "issue:11035", + "right": "issue:12695", + "accept": false, + "reason": "Symlink handling in from_single_file download is unrelated to Hunyuan v1.5 model support." + }, + { + "left": "issue:11447", + "right": "issue:12195", + "accept": false, + "reason": "Offline shard-file lookup failure and a PyTorch custom_op incompatibility are distinct issues." + }, + { + "left": "issue:12060", + "right": "issue:13225", + "accept": false, + "reason": "A question about whether DiT blocks exist is not the same as RAE+DiT checkpoint support." + }, + { + "left": "issue:181", + "right": "issue:3026", + "accept": false, + "reason": "Train_unconditional image-writing failure and instruct-pix2pix single-GPU launch error are unrelated." + }, + { + "left": "issue:4061", + "right": "issue:4263", + "accept": false, + "reason": "Load-LoRA error and LoRA unloading broken are opposite operations and different bugs." + }, + { + "left": "issue:4178", + "right": "issue:4354", + "accept": false, + "reason": "LoRA unloading with XFormers is unrelated to from_single_file returning the wrong pipeline type." + }, + { + "left": "issue:4912", + "right": "issue:7962", + "accept": false, + "reason": "Checkpoint conversion to diffusers and adding cross_attention_kwargs to instruct-pix2pix are different feature requests." + }, + { + "left": "issue:782", + "right": "issue:861", + "accept": false, + "reason": "Model download/auth-token regression is unrelated to ckpt-to-diffusers conversion failure." + }, + { + "left": "issue:1923", + "right": "issue:2412", + "accept": false, + "reason": "Missing CUDA libs in a Docker/bitsandbytes setup is not the same as a Dreambooth error." + }, + { + "left": "issue:3120", + "right": "issue:5803", + "accept": false, + "reason": "ControlNet training producing identical outputs and black-image reproduction are different problems." + }, + { + "left": "issue:4279", + "right": "issue:5518", + "accept": false, + "reason": "Both are LoRA-related, but one is a load-compatibility problem and the other is a ModuleList attribute error; not the same bug." + }, + { + "left": "issue:8464", + "right": "issue:9332", + "accept": false, + "reason": "Seed-dependent SEGA cpu-offload failure is unrelated to StableDiffusionPipeline loading the wrong weights." + }, + { + "left": "issue:10198", + "right": "issue:9822", + "accept": false, + "reason": "A generic Flux weight mismatch is too different from specifically loading SDXL LoRAs into Flux; insufficient evidence of one shared bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 352, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1009", + "issue:10772", + "issue:10897", + "issue:11220", + "issue:11343", + "issue:12173", + "issue:12369", + "issue:1284", + "issue:1604", + "issue:1957", + "issue:2265", + "issue:2459", + "issue:2830", + "issue:3452", + "issue:3570", + "issue:3679", + "issue:3748", + "issue:3954", + "issue:4158", + "issue:4398", + "issue:4414", + "issue:4438", + "issue:4615", + "issue:4771", + "issue:4804", + "issue:4912", + "issue:4977", + "issue:5084", + "issue:5824", + "issue:5953", + "issue:6218", + "issue:6348", + "issue:6703", + "issue:7102", + "issue:7168", + "issue:7370", + "issue:7606", + "issue:7736", + "issue:7945", + "issue:8493", + "issue:8502", + "issue:861", + "issue:8915", + "issue:9186", + "issue:9546", + "issue:962", + "issue:9958" + ], + "soft_pairs": [ + "issue:10897|issue:7370", + "issue:11220|issue:8502", + "issue:12173|issue:12369", + "issue:3452|issue:6703", + "issue:3570|issue:861", + "issue:3748|issue:7606", + "issue:4438|issue:5824", + "issue:4615|issue:5084", + "issue:4912|issue:7736", + "issue:6218|issue:7102", + "issue:1604|issue:2265", + "issue:1957|issue:3954", + "issue:4771|issue:8493", + "issue:4804|issue:962", + "issue:1009|issue:2459", + "issue:10772|issue:9186", + "issue:11343|issue:8915", + "issue:1284|issue:4414", + "issue:2830|issue:3679", + "issue:4398|issue:4977", + "issue:5953|issue:9546", + "issue:6348|issue:9958", + "issue:7168|issue:7945", + "issue:4158|issue:7168" + ], + "prepared_review_unit_hash": "6d5d55169f29ea5343f012a35436c4d339ad8108f12fe0c3921eee8517567964", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33189, + "estimated_input_tokens": 8298, + "estimated_eval_tokens": 16852 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of false-positive similarity matches across unrelated issues. I found no pair that clearly describes the same underlying bug/change, so all soft edges should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": "issue:11343 is the broadest, most actionable bug in the set: a dependency-induced import regression affecting diffusers modules. It is the best available anchor, even though the surrounding items are not true duplicates.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11343 has a clear regression report, user impact, and discussion, making it the strongest representative issue in an otherwise heterogeneous cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10897", + "right": "issue:7370", + "accept": false, + "reason": "Different requests for different model families: Sana ControlNet support vs OpenSora/STDiT support." + }, + { + "left": "issue:11220", + "right": "issue:8502", + "accept": false, + "reason": "Documentation page problem vs SD3 medium 512x512 generation issue; unrelated code paths." + }, + { + "left": "issue:12173", + "right": "issue:12369", + "accept": false, + "reason": "Different Wan model use cases: i2i latent upscale vs 4K CineScale." + }, + { + "left": "issue:3452", + "right": "issue:6703", + "accept": false, + "reason": "Low-VRAM DreamBooth training question vs textual inversion/negative-prompt behavior; different bugs." + }, + { + "left": "issue:3570", + "right": "issue:861", + "accept": false, + "reason": "Different CKPT-related problems: disabling downloads vs converting checkpoints to diffusers." + }, + { + "left": "issue:3748", + "right": "issue:7606", + "accept": false, + "reason": "LoRA tensor dtype mismatch vs deprecated Kandinsky LoRA processor; not the same failure." + }, + { + "left": "issue:4438", + "right": "issue:5824", + "accept": false, + "reason": "Generic SDXL pipeline error vs a specific get_add_time_ids default-value bug." + }, + { + "left": "issue:4615", + "right": "issue:5084", + "accept": false, + "reason": "Import failures for different pipeline classes and different backends." + }, + { + "left": "issue:4912", + "right": "issue:7736", + "accept": false, + "reason": "Checkpoint conversion request vs callback API feature request; unrelated." + }, + { + "left": "issue:6218", + "right": "issue:7102", + "accept": false, + "reason": "Batched seeds bug vs multicontrolnet/multi-prompt bug; different control-flow issues." + }, + { + "left": "issue:1604", + "right": "issue:2265", + "accept": false, + "reason": "LPW script breakage on a diffusers version vs ONNXRuntime incompatibility; different causes." + }, + { + "left": "issue:1957", + "right": "issue:3954", + "accept": false, + "reason": "Scheduler init fix vs wrong multi-GPU step count; both scheduler-related but not the same bug." + }, + { + "left": "issue:4771", + "right": "issue:8493", + "accept": false, + "reason": "Loading a fine-tuned model vs SD3Transformer2DModel state_dict loading errors; different model/load paths." + }, + { + "left": "issue:4804", + "right": "issue:962", + "accept": false, + "reason": "LoRA loader dictionary mutation vs inpaint size limitation; unrelated issues." + }, + { + "left": "issue:1009", + "right": "issue:2459", + "accept": false, + "reason": "Textual inversion weight decay bug vs xformers attention not working in LoRA training; different training problems." + }, + { + "left": "issue:10772", + "right": "issue:9186", + "accept": false, + "reason": "Support request for Sana ControlNet vs differential diffusion with ControlNet pipeline; not the same change." + }, + { + "left": "issue:11343", + "right": "issue:8915", + "accept": false, + "reason": "Both are import errors, but they involve different symbols and likely different dependency regressions." + }, + { + "left": "issue:1284", + "right": "issue:4414", + "accept": false, + "reason": "Batch-size performance complaint vs consistency-model sampling issue; no concrete overlap." + }, + { + "left": "issue:2830", + "right": "issue:3679", + "accept": false, + "reason": "Question about image+text to video vs announcement of new text2video models; different topics." + }, + { + "left": "issue:4398", + "right": "issue:4977", + "accept": false, + "reason": "Black SDXL LoRA outputs vs checkpoint cleanup in unconditional training; unrelated." + }, + { + "left": "issue:5953", + "right": "issue:9546", + "accept": false, + "reason": "Control image size mismatch crash vs validation OOM in Flux ControlNet training; different failure modes." + }, + { + "left": "issue:6348", + "right": "issue:9958", + "accept": false, + "reason": "3D AutoencoderKL support vs temporal-decoder tiling support; separate enhancement requests." + }, + { + "left": "issue:7168", + "right": "issue:7945", + "accept": false, + "reason": "IP-Adapter embedding shape problem vs community pipeline combination request; unrelated." + }, + { + "left": "issue:4158", + "right": "issue:7168", + "accept": false, + "reason": "from_single_file performance hang vs IP-Adapter tensor-shape issue; no shared bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 353, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10382", + "issue:10511", + "issue:10573", + "issue:10937", + "issue:11022", + "issue:11077", + "issue:11135", + "issue:1161", + "issue:11885", + "issue:11962", + "issue:11989", + "issue:1883", + "issue:2822", + "issue:2838", + "issue:2905", + "issue:2966", + "issue:3113", + "issue:3347", + "issue:3366", + "issue:3570", + "issue:3674", + "issue:3787", + "issue:3811", + "issue:4217", + "issue:4419", + "issue:4724", + "issue:5153", + "issue:5256", + "issue:5410", + "issue:5604", + "issue:5630", + "issue:5977", + "issue:6001", + "issue:6154", + "issue:6320", + "issue:6363", + "issue:7057", + "issue:7519", + "issue:752", + "issue:7735", + "issue:8440", + "issue:8534", + "issue:8759", + "issue:8922", + "issue:9042", + "issue:9667", + "issue:9686", + "issue:9930" + ], + "soft_pairs": [ + "issue:2905|issue:5256", + "issue:3570|issue:7057", + "issue:4419|issue:7519", + "issue:10382|issue:9930", + "issue:3347|issue:3787", + "issue:3674|issue:6363", + "issue:5410|issue:5630", + "issue:10573|issue:11989", + "issue:11962|issue:9042", + "issue:3113|issue:5153", + "issue:3366|issue:4724", + "issue:5977|issue:8440", + "issue:6001|issue:8922", + "issue:8534|issue:9686", + "issue:10511|issue:11135", + "issue:11022|issue:11885", + "issue:2822|issue:4217", + "issue:2838|issue:752", + "issue:7735|issue:8759", + "issue:2966|issue:6154", + "issue:6320|issue:9667", + "issue:10937|issue:11077", + "issue:3811|issue:5604", + "issue:1161|issue:1883" + ], + "prepared_review_unit_hash": "c084ede76b109112aa59b51cb3e0bfb59151e005dd43bae453730c69e2fd0223", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34105, + "estimated_input_tokens": 8527, + "estimated_eval_tokens": 17310 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated Diffusers issues spanning schedulers, LoRA, SDXL/SD3, Flux, training scripts, and model loading. All soft-edge candidate pairs look like false duplicates; the only strong duplicate signal in the input is the explicit reference between issue 8759 and 8922, which is outside the soft-pair list.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 8759 is the best anchor only because it is a concrete, well-scoped bug report and it has an explicit duplicate reference to issue 8922, giving it stronger triage signal than the other items.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 8759 is the strongest issue candidate in this set: it has a specific runtime warning, a reproducible SD3 image-processing problem, and an explicit duplicate linkage, making it the most suitable representative issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2905", + "right": "issue:5256", + "accept": false, + "reason": "Scheduler-wide Karras sigmas support and Insta-Flow training support are different features with different code paths." + }, + { + "left": "issue:3570", + "right": "issue:7057", + "accept": false, + "reason": "One is about disabling downloads when loading checkpoints; the other is a checkpoint that does not work. Different bug surfaces." + }, + { + "left": "issue:4419", + "right": "issue:7519", + "accept": false, + "reason": "Offset-noise inference support and ignored cross_attention_kwargs['scale'] affect different mechanisms and are not the same bug." + }, + { + "left": "issue:10382", + "right": "issue:9930", + "accept": false, + "reason": "VAE encoder return-type mismatch causing AttributeError and PAG adaptive scale bug are unrelated failures." + }, + { + "left": "issue:3347", + "right": "issue:3787", + "accept": false, + "reason": "NaN image output versus import-time partial initialization error are different problem classes." + }, + { + "left": "issue:3674", + "right": "issue:6363", + "accept": false, + "reason": "Metadata JSONL parsing and FP16 gradient unscale errors occur in different parts of the training pipeline." + }, + { + "left": "issue:5410", + "right": "issue:5630", + "accept": false, + "reason": "Both mention SDXL image quality, but one is blurry latent upscale and the other is leftover noise in img2img; not the same concrete defect." + }, + { + "left": "issue:10573", + "right": "issue:11989", + "accept": false, + "reason": "Multiple-controlnet padding-mask handling and black images from weight issues are distinct failures." + }, + { + "left": "issue:11962", + "right": "issue:9042", + "accept": false, + "reason": "GGUF quantized FLUX.1-Kontext-dev support and adding a Flux pipeline are different feature requests." + }, + { + "left": "issue:3113", + "right": "issue:5153", + "accept": false, + "reason": "Cross-attention layout guidance and FreeU are separate inference techniques with different implementations." + }, + { + "left": "issue:3366", + "right": "issue:4724", + "accept": false, + "reason": "LoRALinearLayer autocast interference and SDXL img2img checkpoint mismatch are unrelated bugs." + }, + { + "left": "issue:5977", + "right": "issue:8440", + "accept": false, + "reason": "Saving unet.unet keys during LoRA training and FromOriginalModelMixin subclass ValueError are different serialization/initialization issues." + }, + { + "left": "issue:6001", + "right": "issue:8922", + "accept": false, + "reason": "SDXL inpaint-from-single-file returning Img2ImgPipeline and SD3 quantized model producing black images are different model-loading bugs." + }, + { + "left": "issue:8534", + "right": "issue:9686", + "accept": false, + "reason": "SD3 dreambooth logit-normal weighting and SD3 ControlNet pooled-projections bug are separate SD3 issues." + }, + { + "left": "issue:10511", + "right": "issue:11135", + "accept": false, + "reason": "FlowMatchEulerDiscreteScheduler redesign and SmoothCache pipeline addition are unrelated changes." + }, + { + "left": "issue:11022", + "right": "issue:11885", + "accept": false, + "reason": "Quanto support for WAN 2.1 and FLUX.1 LoRA loading are unrelated model-specific problems." + }, + { + "left": "issue:2822", + "right": "issue:4217", + "accept": false, + "reason": "Training convergence on ControlNet and slow safetensors loading are not the same underlying bug." + }, + { + "left": "issue:2838", + "right": "issue:752", + "accept": false, + "reason": "ControlNet pipeline behavior and Dreambooth multi-concept support are different feature requests." + }, + { + "left": "issue:7735", + "right": "issue:8759", + "accept": false, + "reason": "Dataset caption column lookup failure and SD3 image_processor cast warning are unrelated issues." + }, + { + "left": "issue:2966", + "right": "issue:6154", + "accept": false, + "reason": "Multi-GPU instruct-pix2pix training and SDXL LoRA training on M2 are different environment-specific problems." + }, + { + "left": "issue:6320", + "right": "issue:9667", + "accept": false, + "reason": "Emu2 remote model lookup failure and FLUX fp8 loading with local transformer file are unrelated model-loading bugs." + }, + { + "left": "issue:10937", + "right": "issue:11077", + "accept": false, + "reason": "torch.compile errors on vae.encode and the VAE convert script discussion do not describe the same defect." + }, + { + "left": "issue:3811", + "right": "issue:5604", + "accept": false, + "reason": "LoRA loading having no effect and unfusing multiple LoRA being impossible are separate LoRA lifecycle problems." + }, + { + "left": "issue:1161", + "right": "issue:1883", + "accept": false, + "reason": "Flax-to-PyTorch conversion and enabling gradient checkpointing for VAE are unrelated requests." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 354, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10085", + "issue:10712", + "issue:11363", + "issue:12009", + "issue:1214", + "issue:13001", + "issue:1608", + "issue:1851", + "issue:2244", + "issue:2276", + "issue:2462", + "issue:2552", + "issue:3073", + "issue:4057", + "issue:4061", + "issue:4064", + "issue:4109", + "issue:4321", + "issue:4491", + "issue:4665", + "issue:4872", + "issue:5108", + "issue:5135", + "issue:5567", + "issue:5574", + "issue:5794", + "issue:5835", + "issue:6008", + "issue:6274", + "issue:6435", + "issue:6774", + "issue:7180", + "issue:730", + "issue:752", + "issue:7706", + "issue:7801", + "issue:7945", + "issue:7946", + "issue:7982", + "issue:8429", + "issue:8472", + "issue:8898", + "issue:9134", + "issue:9291", + "issue:9674", + "issue:9680", + "issue:9686" + ], + "soft_pairs": [ + "issue:2462|issue:752", + "issue:3073|issue:4064", + "issue:4321|issue:5835", + "issue:11363|issue:8429", + "issue:5135|issue:8472", + "issue:5567|issue:7982", + "issue:7180|issue:7706", + "issue:1851|issue:730", + "issue:4109|issue:7946", + "issue:5574|issue:6008", + "issue:1608|issue:4872", + "issue:2552|issue:4057", + "issue:5108|issue:6274", + "issue:6435|issue:9686", + "issue:10085|issue:10712", + "issue:2276|issue:6774", + "issue:4061|issue:4491", + "issue:4665|issue:5794", + "issue:9134|issue:9291", + "issue:12009|issue:13001", + "issue:1214|issue:2244", + "issue:7801|issue:9674", + "issue:7945|issue:9680", + "issue:7946|issue:8898" + ], + "prepared_review_unit_hash": "79bdb8bbde78991e911b535c1e922173b3b277a2230738d3778ab3b1db90a0ec", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33027, + "estimated_input_tokens": 8257, + "estimated_eval_tokens": 16770 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated bug reports or feature requests across different pipelines, training flows, and model families. The only plausible duplicate pair is the T2I-Adapter/MultiAdapter XL pair; everything else looks like distinct issues.", + "confidence": 0.86, + "canonical_issue_reason": "Issue 6274 is the best canonical tracker for the only likely duplicate family: it is broader and more explicit about multi-adapter breakage than 5108.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6274 is the strongest representative overall because it most clearly describes the shared multi-adapter failure mode; the rest of the set does not form a coherent duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2462", + "right": "issue:752", + "accept": false, + "reason": "Different topics: IterableDataset finetuning support vs multi-concept DreamBooth support." + }, + { + "left": "issue:3073", + "right": "issue:4064", + "accept": false, + "reason": "Different feature requests: consistency models vs PSLD upscaler/deblur/inpainting pipelines." + }, + { + "left": "issue:4321", + "right": "issue:5835", + "accept": false, + "reason": "Unrelated failures: DirectML FP16 black images vs MusicLDM pipeline usage." + }, + { + "left": "issue:11363", + "right": "issue:8429", + "accept": false, + "reason": "ControlNet example CUDA OOM is not the same bug as the I2VGen-XL inference script malfunction." + }, + { + "left": "issue:5135", + "right": "issue:8472", + "accept": false, + "reason": "LoRA quality/xformers behavior is a different problem from questions about simultaneous LoRA pretraining with other modules." + }, + { + "left": "issue:5567", + "right": "issue:7982", + "accept": false, + "reason": "Different code paths: accelerator.prepare overwriting unet.config vs from_pipe failing with MultiControlNetModel." + }, + { + "left": "issue:7180", + "right": "issue:7706", + "accept": false, + "reason": "SDXL ControlNet CPU offload failure and custom-pipeline CUDA OOM are distinct issues." + }, + { + "left": "issue:1851", + "right": "issue:730", + "accept": false, + "reason": "Both are DreamBooth-related, but one is multi-GPU slowdown and the other is local-vs-Colab learning behavior; not the same bug." + }, + { + "left": "issue:4109", + "right": "issue:7946", + "accept": false, + "reason": "Broken SDXL inpaint pipeline and custom_pipeline caching are separate concerns." + }, + { + "left": "issue:5574", + "right": "issue:6008", + "accept": false, + "reason": "Training partial UNet attention with LoRA is unrelated to IP-Adapter Plus Face failing with LCM LoRA." + }, + { + "left": "issue:1608", + "right": "issue:4872", + "accept": false, + "reason": "Training stopping at 500 steps and SDXL finetuning OOM on T4 are different symptoms and likely different causes." + }, + { + "left": "issue:2552", + "right": "issue:4057", + "accept": false, + "reason": "Tutorial/model-request question vs blurred output from finetuned inpainting are not duplicates." + }, + { + "left": "issue:5108", + "right": "issue:6274", + "accept": true, + "reason": "Both report multi-adapter/T2I-Adapter breakage in the XL path; they look like the same underlying adapter composition bug." + }, + { + "left": "issue:6435", + "right": "issue:9686", + "accept": false, + "reason": "Default width/height initialization in ControlNet is unrelated to the SD3 ControlNet pooled-projections bug." + }, + { + "left": "issue:10085", + "right": "issue:10712", + "accept": false, + "reason": "LyCORIS batch inference with skip_guidance_layers and SD3 prompt_embeds runtime error are different runtime failures." + }, + { + "left": "issue:2276", + "right": "issue:6774", + "accept": false, + "reason": "xformers installation on Colab and AttentionProcessor dtype mismatch are separate issues." + }, + { + "left": "issue:4061", + "right": "issue:4491", + "accept": false, + "reason": "SDXL LoRA loading error and SDXL refiner regression are not the same failure mode." + }, + { + "left": "issue:4665", + "right": "issue:5794", + "accept": false, + "reason": "Windows safetensors/bin-file selection is unrelated to the missing tokenizer/config.json on SDXL base." + }, + { + "left": "issue:9134", + "right": "issue:9291", + "accept": false, + "reason": "Both concern FLUX LoRAs, but one is a training/result quality issue and the other is key-format compatibility." + }, + { + "left": "issue:12009", + "right": "issue:13001", + "accept": false, + "reason": "Wan2.2 GGUF loading/meta-tensor failure and Flux2.Klein GGUF shape mismatch are different model-loading problems." + }, + { + "left": "issue:1214", + "right": "issue:2244", + "accept": false, + "reason": "Half-precision CLIPTextModel problems and DreamBooth CPU Half norm errors are related only at a very broad precision level, not the same bug." + }, + { + "left": "issue:7801", + "right": "issue:9674", + "accept": false, + "reason": "Mixed-precision not actually producing fp16 and SD3 ControlNet training quality are different problems." + }, + { + "left": "issue:7945", + "right": "issue:9680", + "accept": false, + "reason": "Community pipeline composition is unrelated to SDXL unconditional generation being broken." + }, + { + "left": "issue:7946", + "right": "issue:8898", + "accept": false, + "reason": "custom_pipeline caching and from_pretrained subfolder path resolution are different loading behaviors." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted soft-edge pair, 5108/6274, is a plausible duplicate family based on the titles, and the remaining pairwise rejections do not overclaim similarity." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 355, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10277", + "issue:10500", + "issue:1070", + "issue:11127", + "issue:1214", + "issue:12689", + "issue:1271", + "issue:13077", + "issue:1546", + "issue:1616", + "issue:1791", + "issue:2312", + "issue:2447", + "issue:2495", + "issue:2578", + "issue:2644", + "issue:2858", + "issue:2907", + "issue:3094", + "issue:3181", + "issue:3199", + "issue:3213", + "issue:3624", + "issue:3631", + "issue:3884", + "issue:4122", + "issue:4282", + "issue:4686", + "issue:4854", + "issue:4874", + "issue:4923", + "issue:5463", + "issue:5509", + "issue:5546", + "issue:5596", + "issue:5967", + "issue:6240", + "issue:6661", + "issue:6793", + "issue:6869", + "issue:7102", + "issue:785", + "issue:7851", + "issue:8407", + "issue:9479", + "issue:9704", + "issue:9889" + ], + "soft_pairs": [ + "issue:1791|issue:2578", + "issue:3199|issue:3213", + "issue:4282|issue:7102", + "issue:7851|issue:9479", + "issue:12689|issue:13077", + "issue:1070|issue:4854", + "issue:6240|issue:9704", + "issue:4686|issue:6793", + "issue:1616|issue:2907", + "issue:2447|issue:3884", + "issue:5967|issue:9889", + "issue:1546|issue:785", + "issue:2858|issue:4923", + "issue:2312|issue:3631", + "issue:10026|issue:11127", + "issue:10277|issue:8407", + "issue:3624|issue:5509", + "issue:10500|issue:6869", + "issue:1214|issue:2644", + "issue:3094|issue:5596", + "issue:1271|issue:3181", + "issue:2495|issue:6661", + "issue:4122|issue:5546", + "issue:4874|issue:5463" + ], + "prepared_review_unit_hash": "7e6a16744d7299daa0465638d1d87452c7b5482d3638a1a2ae14c5934b7b9a20", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33891, + "estimated_input_tokens": 8473, + "estimated_eval_tokens": 17202 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the soft pairs mostly share only a subsystem or keyword, not the same concrete bug/change, so none should be merged.", + "confidence": 0.87, + "canonical_issue_reason": "No single canonical issue: the items span unrelated bugs, feature requests, and environment-specific failures, so they should not be collapsed into one report.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 3199 is the broadest and most representative issue in the set, with stronger discussion/inbound signal than the other nearby pipeline reports, but it still should not absorb the rest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1791", + "right": "issue:2578", + "accept": false, + "reason": "Different problems: MPS runtime support vs editable-install dependency setup." + }, + { + "left": "issue:3199", + "right": "issue:3213", + "accept": false, + "reason": "Both mention pipelines, but one is broad custom-pipeline breakage and the other is a specific LPW regression." + }, + { + "left": "issue:4282", + "right": "issue:7102", + "accept": false, + "reason": "Feature request for Multi-ControlNet is not the same as a bug in multi-controlnet/multi-prompt behavior." + }, + { + "left": "issue:7851", + "right": "issue:9479", + "accept": false, + "reason": "Concurrent-call indexing failure is unrelated to inpainting mask behavior." + }, + { + "left": "issue:12689", + "right": "issue:13077", + "accept": false, + "reason": "Checkpoint LoRA loading bug is unrelated to shallow-copying transformer weights in ZImageControlNet." + }, + { + "left": "issue:1070", + "right": "issue:4854", + "accept": false, + "reason": "Both are inpainting-related, but the titles point to different failures and code paths." + }, + { + "left": "issue:6240", + "right": "issue:9704", + "accept": false, + "reason": "AutoPipeline device_map error is unrelated to a cuDNN frontend execution-plan crash." + }, + { + "left": "issue:4686", + "right": "issue:6793", + "accept": false, + "reason": "Pipeline loading failure and Hydra serialization failure are different classes of bugs." + }, + { + "left": "issue:1616", + "right": "issue:2907", + "accept": false, + "reason": "LPW pipeline compatibility and calling enable_model_cpu_offload twice are unrelated." + }, + { + "left": "issue:2447", + "right": "issue:3884", + "accept": false, + "reason": "Generic LoRA error vs a specific training-script error; not the same concrete bug." + }, + { + "left": "issue:5967", + "right": "issue:9889", + "accept": false, + "reason": "Announcement post is not a bug report, and the segfault is a separate inference crash." + }, + { + "left": "issue:1546", + "right": "issue:785", + "accept": false, + "reason": "Truncation/batched-input error is unrelated to PNDM scheduler performance cost." + }, + { + "left": "issue:2858", + "right": "issue:4923", + "accept": false, + "reason": "UnCLIP seeding-image feature request and AudioLDM2 transcript feature request are unrelated." + }, + { + "left": "issue:2312", + "right": "issue:3631", + "accept": false, + "reason": "EMA save-hook failure and latent-handling inpainting exception are different bugs." + }, + { + "left": "issue:10026", + "right": "issue:11127", + "accept": false, + "reason": "Training-memory scaling problem and single-file Flux inference issue are not the same code-path." + }, + { + "left": "issue:10277", + "right": "issue:8407", + "accept": false, + "reason": "Scheduler choice in fluxfill and UniPC set_timesteps kwargs support are different scheduler issues." + }, + { + "left": "issue:3624", + "right": "issue:5509", + "accept": false, + "reason": "AttributeError from getattr is unrelated to prompt/image batch-size validation." + }, + { + "left": "issue:10500", + "right": "issue:6869", + "accept": false, + "reason": "Device-mismatch with BitsAndBytes is unrelated to export_to_video unpacking." + }, + { + "left": "issue:1214", + "right": "issue:2644", + "accept": false, + "reason": "Half-precision CLIPTextModel failure is unrelated to a Dreambooth GPU-count question." + }, + { + "left": "issue:3094", + "right": "issue:5596", + "accept": false, + "reason": "Same project area, but training OOM and dataset-conversion AttributeError are different failures." + }, + { + "left": "issue:1271", + "right": "issue:3181", + "accept": false, + "reason": "Dreambooth dependency installation on GCP and TensorRT example TypeError are unrelated." + }, + { + "left": "issue:2495", + "right": "issue:6661", + "accept": false, + "reason": "MPS black-image inference bug and MPS training OOM are different symptoms and code paths." + }, + { + "left": "issue:4122", + "right": "issue:5546", + "accept": false, + "reason": "Both concern scheduler step counts, but one is a DPMSolverMultistepScheduler SDXL bug and the other is a base+refiner Karras-ensemble issue." + }, + { + "left": "issue:4874", + "right": "issue:5463", + "accept": false, + "reason": "Local loading of StableDiffusionUpscalePipeline and an UnboundLocalError on image_latents are not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 356, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10337", + "issue:10526", + "issue:10590", + "issue:1127", + "issue:11570", + "issue:13015", + "issue:1335", + "issue:13386", + "issue:1552", + "issue:1785", + "issue:1895", + "issue:2161", + "issue:2201", + "issue:2326", + "issue:2402", + "issue:3209", + "issue:3280", + "issue:3683", + "issue:3752", + "issue:3787", + "issue:3958", + "issue:4014", + "issue:4134", + "issue:4438", + "issue:4598", + "issue:4692", + "issue:4697", + "issue:4888", + "issue:499", + "issue:5000", + "issue:5328", + "issue:5353", + "issue:5646", + "issue:6028", + "issue:6110", + "issue:6218", + "issue:6278", + "issue:6639", + "issue:6661", + "issue:6807", + "issue:7450", + "issue:7485", + "issue:7548", + "issue:8609", + "issue:9170", + "issue:9461", + "issue:9530" + ], + "soft_pairs": [ + "issue:10526|issue:9461", + "issue:1895|issue:499", + "issue:3683|issue:6278", + "issue:3787|issue:4598", + "issue:4697|issue:6661", + "issue:13015|issue:13386", + "issue:1127|issue:1335", + "issue:3209|issue:7548", + "issue:3280|issue:3752", + "issue:4014|issue:4438", + "issue:4134|issue:6807", + "issue:6661|issue:6807", + "issue:10337|issue:10590", + "issue:5353|issue:8609", + "issue:5646|issue:7450", + "issue:1785|issue:5000", + "issue:6639|issue:9530", + "issue:3958|issue:5328", + "issue:10337|issue:11570", + "issue:2161|issue:2326", + "issue:4692|issue:9170", + "issue:6218|issue:7485", + "issue:2402|issue:6028", + "issue:4888|issue:6110", + "issue:1552|issue:2201" + ], + "prepared_review_unit_hash": "74005b56fc0169b484cad895bfde7872b042f6c256cb123cf87330a16758f576", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33675, + "estimated_input_tokens": 8419, + "estimated_eval_tokens": 17094 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous rather than a true duplicate set: it mixes unrelated issues across Flux quantization, LoRA loading/training, MPS/NPU/CUDA memory, ONNX import, schedulers, and model-specific bugs. I reject all soft edges because the paired items do not appear to describe the same underlying bug or change.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10526", + "right": "issue:9461", + "accept": false, + "reason": "Both mention Flux, but one is a concrete optimum.quanto quantization TypeError while the other is a vague Flux inference issue; different failures and code paths." + }, + { + "left": "issue:1895", + "right": "issue:499", + "accept": false, + "reason": "Multi-GPU EMA update bug vs a broken example training script; same broad training area, not the same defect." + }, + { + "left": "issue:3683", + "right": "issue:6278", + "accept": false, + "reason": "save_pretrained for Multi-ControlNet is unrelated to a multi-GPU training failure." + }, + { + "left": "issue:3787", + "right": "issue:4598", + "accept": false, + "reason": "Circular/partial import error is different from improving missing-dependency error messages." + }, + { + "left": "issue:4697", + "right": "issue:6661", + "accept": false, + "reason": "LoRA loading regression after update vs MPS OOM during training; different symptoms and subsystems." + }, + { + "left": "issue:13015", + "right": "issue:13386", + "accept": false, + "reason": "Same model family, but one is an NPU device-mismatch inference bug and the other is a prior-preservation tensor concatenation crash in training." + }, + { + "left": "issue:1127", + "right": "issue:1335", + "accept": false, + "reason": "ONNX pipeline import traceback vs constructor missing vae_encoder; related area, but not the same bug." + }, + { + "left": "issue:3209", + "right": "issue:7548", + "accept": false, + "reason": "AutoencoderKL NaNs for large images does not match AnimateDiff flicker." + }, + { + "left": "issue:3280", + "right": "issue:3752", + "accept": false, + "reason": "Non-default scheduler incompatibility in DeepFloyd IF vs a dreambooth finetune inference error; not the same issue." + }, + { + "left": "issue:4014", + "right": "issue:4438", + "accept": false, + "reason": "Watermark artifacts in SDXL are unrelated to a generic StableDiffusionXLPipeline error." + }, + { + "left": "issue:4134", + "right": "issue:6807", + "accept": false, + "reason": "ControlNet tensor-shape mismatch on MPS is unrelated to test collection failing on MPS." + }, + { + "left": "issue:6661", + "right": "issue:6807", + "accept": false, + "reason": "Training OOM on MPS vs test collection failure on MPS; same backend, different problem." + }, + { + "left": "issue:10337", + "right": "issue:10590", + "accept": false, + "reason": "Flux IPAdapter failure under quantized transformers is not the same as Sana bfloat16 tiled VAE decode errors." + }, + { + "left": "issue:5353", + "right": "issue:8609", + "accept": false, + "reason": "How-to/use-case question about FreeU is unrelated to a custom IP-Adapter pipeline loading failure." + }, + { + "left": "issue:5646", + "right": "issue:7450", + "accept": false, + "reason": "Scheduler stability problems vs AutoencoderKL multithreading issues affect different components." + }, + { + "left": "issue:1785", + "right": "issue:5000", + "accept": false, + "reason": "UnCLIP num_images_per_prompt bug and LoRA fuse/unfuse regression are distinct behaviors." + }, + { + "left": "issue:6639", + "right": "issue:9530", + "accept": false, + "reason": "Different-LoRA-output regression in SDXL vs GPU memory release after torch.compile; no shared bug." + }, + { + "left": "issue:3958", + "right": "issue:5328", + "accept": false, + "reason": "Both involve LoRA, but one is cpu_offload interaction and the other is widespread Civitai LoRA failures; not the same concrete fault." + }, + { + "left": "issue:10337", + "right": "issue:11570", + "accept": false, + "reason": "Both are quantization-related, but one is Flux/IPAdapter with quantized transformers and the other is bitsandbytes text_encoder .to() casting during load_lora_weights." + }, + { + "left": "issue:2161", + "right": "issue:2326", + "accept": false, + "reason": "LoRA training on an inpainting model vs converting LoRA to safetensors/ckpt are different workflows and failures." + }, + { + "left": "issue:4692", + "right": "issue:9170", + "accept": false, + "reason": "Generic UNet memory issue is not the same as SDXL+ControlNet requiring >36G GPU memory." + }, + { + "left": "issue:6218", + "right": "issue:7485", + "accept": false, + "reason": "Batched seeds bug in ControlNet/Img2Img is unrelated to a safety_checker NoneType callable error." + }, + { + "left": "issue:2402", + "right": "issue:6028", + "accept": false, + "reason": "Torch not compiled with CUDA vs CUDA out-of-memory are completely different runtime failures." + }, + { + "left": "issue:4888", + "right": "issue:6110", + "accept": false, + "reason": "Offline safetensors loading and offline load_lora_weights are different API paths and problems." + }, + { + "left": "issue:1552", + "right": "issue:2201", + "accept": false, + "reason": "Attention slicing on SD2 and tokenizer padding differences across model families are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 357, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1014", + "issue:10526", + "issue:10533", + "issue:10550", + "issue:10848", + "issue:1249", + "issue:1261", + "issue:1918", + "issue:1944", + "issue:1957", + "issue:2041", + "issue:2091", + "issue:2244", + "issue:2507", + "issue:2560", + "issue:2722", + "issue:3454", + "issue:3694", + "issue:3908", + "issue:4361", + "issue:4427", + "issue:4566", + "issue:4728", + "issue:5064", + "issue:5109", + "issue:5112", + "issue:5254", + "issue:579", + "issue:5805", + "issue:5951", + "issue:6222", + "issue:6297", + "issue:6335", + "issue:6336", + "issue:6517", + "issue:6602", + "issue:7354", + "issue:746", + "issue:7851", + "issue:8469", + "issue:8565", + "issue:9366", + "issue:9523", + "issue:954", + "issue:9731", + "issue:9813", + "issue:9927", + "issue:9941" + ], + "soft_pairs": [ + "issue:2041|issue:3454", + "issue:6517|issue:9941", + "issue:1957|issue:6297", + "issue:5109|issue:8565", + "issue:1944|issue:579", + "issue:746|issue:954", + "issue:9523|issue:9927", + "issue:2507|issue:3908", + "issue:2560|issue:2722", + "issue:1249|issue:1918", + "issue:6222|issue:6335", + "issue:10550|issue:10848", + "issue:2722|issue:5805", + "issue:2244|issue:5805", + "issue:4427|issue:7354", + "issue:10526|issue:10533", + "issue:5112|issue:7851", + "issue:9366|issue:9731", + "issue:8469|issue:9813", + "issue:1014|issue:1261", + "issue:2091|issue:5951", + "issue:4566|issue:4728", + "issue:5254|issue:6336", + "issue:3694|issue:5064", + "issue:4361|issue:6602" + ], + "prepared_review_unit_hash": "78e265fb7e4484c9167a785cb9cfa239279d071ef86133b8ff1da31c61fbd600", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34824, + "estimated_input_tokens": 8706, + "estimated_eval_tokens": 17668 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: the issues span many unrelated Diffusers bugs across training, schedulers, quantization, ControlNet, IP-Adapter, and pipeline/runtime errors. None of the soft-edge pairs are the same concrete bug/change, so all should be rejected.", + "confidence": 0.91, + "canonical_issue_reason": "No single issue clearly represents a real duplicate cluster; if one must be chosen, issue 10526 is the most concrete and self-contained bug report with a specific exception and repro context.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10526 is the strongest anchor because it has a precise error signature, clear runtime context (Flux FP8 + optimum.quanto), and is more actionable than the broader or vaguer reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2041", + "right": "issue:3454", + "accept": false, + "reason": "Both are training-script problems, but one is Windows compatibility for Dreambooth and the other is a latest-version regression for LoRA training; different failure modes and fixes." + }, + { + "left": "issue:6517", + "right": "issue:9941", + "accept": false, + "reason": "One is an import-time controlnet module error, the other is a generic stable diffusion colab runtime issue; too broad and unrelated as a concrete bug." + }, + { + "left": "issue:1957", + "right": "issue:6297", + "accept": false, + "reason": "These are both training-related, but one is an LR scheduler initialization fix and the other is an SDXL Dreambooth training complaint; not the same underlying defect." + }, + { + "left": "issue:5109", + "right": "issue:8565", + "accept": false, + "reason": "Both mention LoRA loading, but they affect different pipelines and distinct error paths (ControlNet Img2Img vs StableDiffusion3); not mergeable as one bug fix." + }, + { + "left": "issue:1944", + "right": "issue:579", + "accept": false, + "reason": "Dreambooth random outputs and missing config.json in textual inversion are separate issues with different causes and code paths." + }, + { + "left": "issue:746", + "right": "issue:954", + "accept": false, + "reason": "An ONNX revision loading problem and a login/loading problem are unrelated." + }, + { + "left": "issue:9523", + "right": "issue:9927", + "accept": false, + "reason": "Both involve controlnet training, but one is mapping errors across sd3/sdxl/flux scripts and the other is a HeaderTooLarge failure on sdv3; different concrete failures." + }, + { + "left": "issue:2507", + "right": "issue:3908", + "accept": false, + "reason": "Safetensors loading performance and Streamlit model caching are performance/UX concerns, not the same bug." + }, + { + "left": "issue:2560", + "right": "issue:2722", + "accept": false, + "reason": "One is generator-list nondeterminism in Img2Img; the other is ControlNet model conversion mismatch. Different subsystems and symptoms." + }, + { + "left": "issue:1249", + "right": "issue:1918", + "accept": false, + "reason": "The ONNXPipeline ndarray.device AttributeError is unrelated to the DDIM scheduler issue for a specific example." + }, + { + "left": "issue:6222", + "right": "issue:6335", + "accept": false, + "reason": "Scheduler batch-size dependency and ControlNet output-size handling are distinct behaviors in different pipelines." + }, + { + "left": "issue:10550", + "right": "issue:10848", + "accept": false, + "reason": "LoRA into quantized base model and IP-Adapter meta-loading device argument error are separate loader integration problems." + }, + { + "left": "issue:2722", + "right": "issue:5805", + "accept": false, + "reason": "ControlNet conversion mismatch and XLA dtype mismatch are unrelated bugs." + }, + { + "left": "issue:2244", + "right": "issue:5805", + "accept": false, + "reason": "Dreambooth fp16 CPU norm error and LCM-SDXL XLA float/half mismatch differ in model type, backend, and failure point." + }, + { + "left": "issue:4427", + "right": "issue:7354", + "accept": false, + "reason": "Multiadapter example failure and PNDMScheduler/DDPMPipeline incompatibility are not the same underlying bug." + }, + { + "left": "issue:10526", + "right": "issue:10533", + "accept": false, + "reason": "Both are Flux-related, but one is an optimum.quanto quantization constructor TypeError and the other is a black-image output issue in Flux Fill fp16; different code paths and likely different causes." + }, + { + "left": "issue:5112", + "right": "issue:7851", + "accept": false, + "reason": "The torch.Size float-item error in ControlNet Img2Img and the concurrent pipeline index-out-of-bounds issue are distinct runtime bugs." + }, + { + "left": "issue:9366", + "right": "issue:9731", + "accept": false, + "reason": "A scheduler/strength edge case in AutoPipelineForImage2Image is unrelated to a general how-to question about training LoRA on Playground2.5." + }, + { + "left": "issue:8469", + "right": "issue:9813", + "accept": false, + "reason": "Corrupt IP-Adapter face output and batch feature mixing in prepare_ip_adapter_image_embeds are both IP-Adapter related but describe different defects." + }, + { + "left": "issue:1014", + "right": "issue:1261", + "accept": false, + "reason": "A vague upgrade problem and an xformers backward-pass assert are not the same bug." + }, + { + "left": "issue:2091", + "right": "issue:5951", + "accept": false, + "reason": "Resume-from-checkpoint multi-GPU training and a general Pixart training issue are too broad and not the same failure." + }, + { + "left": "issue:4566", + "right": "issue:4728", + "accept": false, + "reason": "Both mention resume/checkpoint behavior, but one is SDXL LoRA checkpoint resumption and the other is text_to_image.py resuming causing OOM; different concrete problems." + }, + { + "left": "issue:5254", + "right": "issue:6336", + "accept": false, + "reason": "Multi-ControlNet support request and TensorRT VAE compilation failure with AutoencoderTiny are unrelated." + }, + { + "left": "issue:3694", + "right": "issue:5064", + "accept": false, + "reason": "Missing model/config files during training and refiner out-of-space during inference are different operational issues." + }, + { + "left": "issue:4361", + "right": "issue:6602", + "accept": false, + "reason": "Shared-tensor saving with safetensors and post-fuse_lora save/load error are both serialization-related, but they are not the same concrete bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 358, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10052", + "issue:10120", + "issue:10202", + "issue:10204", + "issue:10490", + "issue:10596", + "issue:1061", + "issue:10638", + "issue:10672", + "issue:10673", + "issue:1076", + "issue:10796", + "issue:1088", + "issue:10895", + "issue:10932", + "issue:10963", + "issue:11047", + "issue:11055", + "issue:1117", + "issue:11220", + "issue:11343", + "issue:11362", + "issue:11383", + "issue:11939", + "issue:12195", + "issue:12712", + "issue:1805", + "issue:1831", + "issue:2444", + "issue:338", + "issue:339", + "issue:3622", + "issue:4534", + "issue:6258", + "issue:7312", + "issue:7802", + "issue:8317", + "issue:8557", + "issue:8950", + "issue:9115", + "issue:9223", + "issue:9239", + "issue:9309", + "issue:9374", + "issue:9420", + "issue:9438", + "issue:9637" + ], + "soft_pairs": [ + "issue:1831|issue:4534", + "issue:10010|issue:9420", + "issue:10052|issue:10596", + "issue:10120|issue:8950", + "issue:10202|issue:9309", + "issue:10204|issue:6258", + "issue:10490|issue:7802", + "issue:1061|issue:3622", + "issue:10638|issue:9115", + "issue:10672|issue:7312", + "issue:10672|issue:9374", + "issue:10673|issue:12712", + "issue:1076|issue:1805", + "issue:10796|issue:11383", + "issue:1088|issue:2444", + "issue:10895|issue:11939", + "issue:10932|issue:9223", + "issue:10932|issue:9637", + "issue:10963|issue:11343", + "issue:11047|issue:12195", + "issue:11047|issue:9239", + "issue:11055|issue:8557", + "issue:1117|issue:338", + "issue:1117|issue:339", + "issue:11220|issue:9438", + "issue:11362|issue:8317" + ], + "prepared_review_unit_hash": "c55e5f9924d23ee8717739a772edfd64452701873735c1a7e4b12ddbf8d4db46", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 33804, + "estimated_input_tokens": 8451, + "estimated_eval_tokens": 17158 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are mostly unrelated issue reports and feature requests across different pipelines, docs, and scheduler/model topics. None of the soft pairs look like the same underlying bug or change closely enough to merge/dupe safely.", + "confidence": 0.9, + "canonical_issue_reason": "issue:10932 is the strongest standalone issue candidate: it is highly detailed, self-contained, and describes a concrete runtime failure with compilation/recompile behavior.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10932 is the most actionable and specific report among the set, with enough detail to anchor triage.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1831", + "right": "issue:4534", + "accept": false, + "reason": "Both involve training/validation problems, but one is Dreambooth class-image precision mismatch and the other is SDXL MPS validation crash; different code paths and failures." + }, + { + "left": "issue:10010", + "right": "issue:9420", + "accept": false, + "reason": "One is a missing model_index.json download for FLUX Fill, the other is a saved transformer/LORA loading issue; not the same bug." + }, + { + "left": "issue:10052", + "right": "issue:10596", + "accept": false, + "reason": "A syntax error on ctx is unrelated to an invalid-shape runtime error in FluxControlPipeline." + }, + { + "left": "issue:10120", + "right": "issue:8950", + "accept": false, + "reason": "Dreambooth+SD3 memory consumption is a resource issue, while SD3 LoRA training is a functional training bug; not the same failure." + }, + { + "left": "issue:10202", + "right": "issue:9309", + "accept": false, + "reason": "Flux Control LoRA unloading and FluxControlNetPipeline on Flux 1 schnell are different pipeline behaviors and likely different defects." + }, + { + "left": "issue:10204", + "right": "issue:6258", + "accept": false, + "reason": "Repeated FluxFill inpainting degradation is a different issue from Stable Video Diffusion forward chunking quality loss." + }, + { + "left": "issue:10490", + "right": "issue:7802", + "accept": false, + "reason": "Support Infinity is a feature request with no clear overlap to OLSS scheduler support." + }, + { + "left": "issue:1061", + "right": "issue:3622", + "accept": false, + "reason": "Both are example/tutorial wording issues, but they target different docs and different import/instruction problems." + }, + { + "left": "issue:10638", + "right": "issue:9115", + "accept": false, + "reason": "SDXL schedule runner problems and AnimateDiff-Lightning/SDXL motion adapter errors are unrelated runtime paths." + }, + { + "left": "issue:10672", + "right": "issue:7312", + "accept": false, + "reason": "callback_on_step_end support is an API feature request, while AlignProp support is a different training feature request." + }, + { + "left": "issue:10672", + "right": "issue:9374", + "accept": false, + "reason": "Both ask for broader pipeline support, but one is callback_on_step_end and the other is AutoPipeline support for Flux pipelines; different changes." + }, + { + "left": "issue:10673", + "right": "issue:12712", + "accept": false, + "reason": "AuraFlow shape invalid error and missing FLUX.2-dev-bnb-4bit are unrelated model/runtime issues." + }, + { + "left": "issue:1076", + "right": "issue:1805", + "accept": false, + "reason": "Stable-diffusion-v1-5 question and scalable diffusion pipeline feature request are not the same underlying item." + }, + { + "left": "issue:10796", + "right": "issue:11383", + "accept": false, + "reason": "Docs for HunyuanVideo LoRA and HiDream LoRA support are separate model-specific documentation/support requests." + }, + { + "left": "issue:1088", + "right": "issue:2444", + "accept": false, + "reason": "A Dreambooth flax training complaint and a Dreambooth inpaint subprocess failure are different scripts and failure modes." + }, + { + "left": "issue:10895", + "right": "issue:11939", + "accept": false, + "reason": "General deprecation handling and flux_controlnet training updates are different maintenance tasks, not the same bug." + }, + { + "left": "issue:10932", + "right": "issue:9223", + "accept": false, + "reason": "Torch compile/recompile_limit in HunyuanVideo is unrelated to package dependency conflicts around pyarrow." + }, + { + "left": "issue:10932", + "right": "issue:9637", + "accept": false, + "reason": "A compile/recompile-limit issue is not the same as an XFormers attention-mask/bfloat8-length bug." + }, + { + "left": "issue:10963", + "right": "issue:11343", + "accept": false, + "reason": "Missing AutoencoderKLWan import is a symbol/export issue; transformer update import failures are broader dependency compatibility problems." + }, + { + "left": "issue:11047", + "right": "issue:12195", + "accept": false, + "reason": "No controlnet pag inpaint model and a torch.library.custom_op failure are entirely different problems." + }, + { + "left": "issue:11047", + "right": "issue:9239", + "accept": false, + "reason": "Missing pag inpaint model support is a pipeline availability issue, while black images with ControlNet-Canny is an output-quality bug." + }, + { + "left": "issue:11055", + "right": "issue:8557", + "accept": false, + "reason": "Colorized unconditional training outputs and SD3 token limit are not the same defect." + }, + { + "left": "issue:1117", + "right": "issue:338", + "accept": false, + "reason": "Both are tests-related, but they cover different schedulers/negative-prompt behavior and are not duplicates." + }, + { + "left": "issue:1117", + "right": "issue:339", + "accept": false, + "reason": "Multiple negative prompts tests and Karras VE tests are separate test additions." + }, + { + "left": "issue:11220", + "right": "issue:9438", + "accept": false, + "reason": "An unconditional image generation docs page behaving unexpectedly is not the same as a quicktour model_name 404 link issue." + }, + { + "left": "issue:11362", + "right": "issue:8317", + "accept": false, + "reason": "Unexpected return_dict keyword on HiDreamImageTransformer2DModel is a different API mismatch than missing generator in AsymmetricAutoencoderKL.decode()." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 359, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11418", + "issue:11547", + "issue:11830", + "issue:11839", + "issue:1197", + "issue:1205", + "issue:1214", + "issue:12308", + "issue:1249", + "issue:1255", + "issue:1290", + "issue:13001", + "issue:1304", + "issue:1310", + "issue:13484", + "issue:1358", + "issue:1363", + "issue:1375", + "issue:1482", + "issue:1486", + "issue:1535", + "issue:1536", + "issue:1546", + "issue:1566", + "issue:1594", + "issue:1604", + "issue:1647", + "issue:1704", + "issue:1810", + "issue:1869", + "issue:2532", + "issue:305", + "issue:3213", + "issue:3279", + "issue:3300", + "issue:3444", + "issue:3724", + "issue:3817", + "issue:4071", + "issue:4646", + "issue:4702", + "issue:4969", + "issue:543", + "issue:782", + "issue:9188", + "issue:9224", + "issue:967", + "issue:9958" + ], + "soft_pairs": [ + "issue:11418|issue:13484", + "issue:11547|issue:9188", + "issue:11830|issue:9224", + "issue:11839|issue:13001", + "issue:1197|issue:1290", + "issue:1197|issue:3724", + "issue:1205|issue:4646", + "issue:1214|issue:967", + "issue:12308|issue:9958", + "issue:1249|issue:1810", + "issue:1255|issue:3300", + "issue:1304|issue:4702", + "issue:1310|issue:1869", + "issue:1358|issue:4071", + "issue:1363|issue:3213", + "issue:1375|issue:305", + "issue:1482|issue:4969", + "issue:1486|issue:2532", + "issue:1535|issue:1536", + "issue:1546|issue:543", + "issue:1566|issue:3279", + "issue:1594|issue:3444", + "issue:1594|issue:3817", + "issue:1604|issue:782", + "issue:1647|issue:1704" + ], + "prepared_review_unit_hash": "a82497a3cc3eb0b82e1644afb244074ec31a85c4aba0106645cc93d026699b15", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33104, + "estimated_input_tokens": 8276, + "estimated_eval_tokens": 16808 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly false-positive similarity pairs: the items overlap on broad themes like Flux, ONNX, pipelines, and precision issues, but they describe different models, feature requests, or failure modes. I don\u2019t see a true duplicate hub or any PR-like change set here.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11418", + "right": "issue:13484", + "accept": false, + "reason": "Both are Flux-related, but one asks how to add a specific safetensors file while the other is about LoRA loading failure for FAL Flux 2 dev loras; different assets and failure paths." + }, + { + "left": "issue:11547", + "right": "issue:9188", + "accept": false, + "reason": "Both mention Flux fill/outpainting, but these are separate feature requests: ControlNet support vs outpainting support." + }, + { + "left": "issue:11830", + "right": "issue:9224", + "accept": false, + "reason": "Different bug classes: framepack outputs pure black with float16, while the other is an MPS/float64 incompatibility." + }, + { + "left": "issue:11839", + "right": "issue:13001", + "accept": false, + "reason": "Both involve GGUF loading, but they target different Flux pipelines/model variants and report different shape/input-size errors." + }, + { + "left": "issue:1197", + "right": "issue:1290", + "accept": false, + "reason": "These are unrelated community pipeline proposals; same general area, but not the same pipeline or change." + }, + { + "left": "issue:1197", + "right": "issue:3724", + "accept": false, + "reason": "OpenAI diffusion pipeline request vs watermarking module request; no shared bug or code path." + }, + { + "left": "issue:1205", + "right": "issue:4646", + "accept": false, + "reason": "Both concern ONNX conversion, but one is SD-to-ONNX while the other is ControlNet-to-ONNX; different models and failures." + }, + { + "left": "issue:1214", + "right": "issue:967", + "accept": false, + "reason": "Half-precision CLIPTextModel failure is unrelated to the OnnxStableDiffusionPipeline scheduler operand issue." + }, + { + "left": "issue:12308", + "right": "issue:9958", + "accept": false, + "reason": "Flash-attn kernel support on non-Hopper GPUs is unrelated to AutoencoderKLTemporalDecoder tiling support." + }, + { + "left": "issue:1249", + "right": "issue:1810", + "accept": false, + "reason": "OnnxPipeline device attribute error is not the same as NumPy deprecated types; different root causes." + }, + { + "left": "issue:1255", + "right": "issue:3300", + "accept": false, + "reason": "Missing DPMSolverMultistepScheduler import is different from a broader HF download/broken release issue." + }, + { + "left": "issue:1304", + "right": "issue:4702", + "accept": false, + "reason": "Training text-guided image-to-image SD and a VQ-VAE training example are distinct feature requests." + }, + { + "left": "issue:1310", + "right": "issue:1869", + "accept": false, + "reason": "Both are community pipeline ideas, but K-Diffusion+SD and UnCLIP interpolation are separate pipeline proposals." + }, + { + "left": "issue:1358", + "right": "issue:4071", + "accept": false, + "reason": "Safetensors support and inpaint-only+lama support are unrelated features." + }, + { + "left": "issue:1363", + "right": "issue:3213", + "accept": false, + "reason": "Both mention lpw/ONNX, but one is an LMS scheduler error and the other is a broader lpw_stable_diffusion compatibility break; not the same bug." + }, + { + "left": "issue:1375", + "right": "issue:305", + "accept": false, + "reason": "Both are import errors, but one is tied to PR #1365 breaking imports and the other is a general diffusers import problem from a different context." + }, + { + "left": "issue:1482", + "right": "issue:4969", + "accept": false, + "reason": "Stable Diffusion upscaling pipeline request is unrelated to CrossAttention import failure." + }, + { + "left": "issue:1486", + "right": "issue:2532", + "accept": false, + "reason": "DDIMScheduler prediction_type='sample' bug and panorama get_views bug affect different code paths." + }, + { + "left": "issue:1535", + "right": "issue:1536", + "accept": false, + "reason": "Image variation pipeline request vs lpw_stable_diffusion compatibility break; different topics." + }, + { + "left": "issue:1546", + "right": "issue:543", + "accept": false, + "reason": "Truncation warning causing batched-input errors is unrelated to a DDP grad-strides warning." + }, + { + "left": "issue:1566", + "right": "issue:3279", + "accept": false, + "reason": "Dreambooth checkpoint save crash with fp16 output and LoRA resume-from-checkpoint errors are different training issues." + }, + { + "left": "issue:1594", + "right": "issue:3444", + "accept": false, + "reason": "Img2Img for video generation and audio-to-image via ImageBind/UnCLIP are separate feature requests." + }, + { + "left": "issue:1594", + "right": "issue:3817", + "accept": false, + "reason": "Video generation from img2img is not the same as editable dance generation from music." + }, + { + "left": "issue:1604", + "right": "issue:782", + "accept": false, + "reason": "lpw_stable_diffusion broken on diffusers 0.9.0 is unrelated to model download breakage after use_auth_token removal." + }, + { + "left": "issue:1647", + "right": "issue:1704", + "accept": false, + "reason": "A question about color correction .pt is not the same as a generic attention block question." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 360, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1692", + "issue:1704", + "issue:1851", + "issue:1876", + "issue:1909", + "issue:1962", + "issue:1969", + "issue:199", + "issue:2068", + "issue:2163", + "issue:2192", + "issue:2225", + "issue:2319", + "issue:2359", + "issue:2371", + "issue:2375", + "issue:2390", + "issue:2416", + "issue:2462", + "issue:2507", + "issue:2616", + "issue:2618", + "issue:2663", + "issue:272", + "issue:2755", + "issue:2763", + "issue:2775", + "issue:2785", + "issue:2800", + "issue:2871", + "issue:2908", + "issue:3087", + "issue:3162", + "issue:3674", + "issue:3694", + "issue:4071", + "issue:4400", + "issue:459", + "issue:463", + "issue:5112", + "issue:5462", + "issue:5824", + "issue:5989", + "issue:6732", + "issue:834", + "issue:861", + "issue:938" + ], + "soft_pairs": [ + "issue:1692|issue:2616", + "issue:1704|issue:199", + "issue:1851|issue:2371", + "issue:1876|issue:861", + "issue:1909|issue:3162", + "issue:1962|issue:2800", + "issue:1969|issue:2775", + "issue:2068|issue:834", + "issue:2163|issue:2908", + "issue:2192|issue:3674", + "issue:2225|issue:463", + "issue:2319|issue:5824", + "issue:2359|issue:5462", + "issue:2375|issue:3694", + "issue:2390|issue:3087", + "issue:2416|issue:2618", + "issue:2462|issue:459", + "issue:2507|issue:2663", + "issue:272|issue:4400", + "issue:2755|issue:5989", + "issue:2763|issue:5112", + "issue:2785|issue:4071", + "issue:2800|issue:938", + "issue:2871|issue:6732" + ], + "prepared_review_unit_hash": "ee739f4ebc9da5ca35c0b3d6a5bfce37cacc10ae0374ffee7157b87f016981f7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32877, + "estimated_input_tokens": 8220, + "estimated_eval_tokens": 16696 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the paired items are mostly unrelated feature requests or bug reports that share only broad Stable Diffusion context. None of the proposed soft edges look like true duplicates.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue fits this cluster because the items span many unrelated topics (checkpoint conversion, training scripts, pipelines, safety checker, ControlNet, etc.).", + "canonical_pr_reason": null, + "best_issue_reason": "If forced to choose a representative issue, #3087 has the strongest signal (very high discussion and inbound references), but it is a feature request and not a good duplicate target for the rest of the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1692", + "right": "issue:2616", + "accept": false, + "reason": "Different problems: pickling a local lambda vs. a NoneType `.replace` error in LoRA saving." + }, + { + "left": "issue:1704", + "right": "issue:199", + "accept": false, + "reason": "Unrelated: an attention-block question vs. a request to delete dead code." + }, + { + "left": "issue:1851", + "right": "issue:2371", + "accept": false, + "reason": "Different areas: multi-GPU dreambooth slowdown vs. missing Dreambooth outputs." + }, + { + "left": "issue:1876", + "right": "issue:861", + "accept": false, + "reason": "Both involve checkpoint conversion, but the failure modes are different: missing state_dict vs. conversion failure in a specific script." + }, + { + "left": "issue:1909", + "right": "issue:3162", + "accept": false, + "reason": "Generator API mismatch vs. missing classifier-free-sampling embeddings; not the same bug." + }, + { + "left": "issue:1962", + "right": "issue:2800", + "accept": false, + "reason": "Video generation request vs. DiffEdit semantic image editing; separate feature areas." + }, + { + "left": "issue:1969", + "right": "issue:2775", + "accept": false, + "reason": "Different runtime errors in different code paths; not the same underlying defect." + }, + { + "left": "issue:2068", + "right": "issue:834", + "accept": false, + "reason": "Different concerns: dtype conversion behavior vs. CPU underutilization performance." + }, + { + "left": "issue:2163", + "right": "issue:2908", + "accept": false, + "reason": "Training dtype mismatch in text-to-image vs. array shape/mixed-precision errors in ControlNet training." + }, + { + "left": "issue:2192", + "right": "issue:3674", + "accept": false, + "reason": "Missing CLI arguments vs. metadata.jsonl parsing problem; separate training-script issues." + }, + { + "left": "issue:2225", + "right": "issue:463", + "accept": false, + "reason": "Safety checker usage vs. super-resolution diffusion model; unrelated topics." + }, + { + "left": "issue:2319", + "right": "issue:5824", + "accept": false, + "reason": "Typo in a checkpoint-loading helper vs. SDXL add_time_ids default issue; not the same bug." + }, + { + "left": "issue:2359", + "right": "issue:5462", + "accept": false, + "reason": "Both touch latent output/image2image, but one is about allowing latent output_type and the other is an LCM img2img feature request." + }, + { + "left": "issue:2375", + "right": "issue:3694", + "accept": false, + "reason": "Missing safe_open import vs. missing model_index/config files; completely different failure causes." + }, + { + "left": "issue:2390", + "right": "issue:3087", + "accept": false, + "reason": "T2I-Adapter pipeline support vs. LyCORIS model support; both are feature requests, but not the same change." + }, + { + "left": "issue:2416", + "right": "issue:2618", + "accept": false, + "reason": "Training slowdown with xformers vs. ControlNet image-input type support; unrelated symptoms and code paths." + }, + { + "left": "issue:2462", + "right": "issue:459", + "accept": false, + "reason": "IterableDataset support for finetuning vs. incremental diffusion concept; not a duplicate bug/change." + }, + { + "left": "issue:2507", + "right": "issue:2663", + "accept": false, + "reason": "Different loading/performance issues: safetensors GPU load speed vs. model load failure with safety checker safetensors present." + }, + { + "left": "issue:272", + "right": "issue:4400", + "accept": false, + "reason": "Inpainting sampler support vs. text_encoder support question in a dreambooth LoRA script." + }, + { + "left": "issue:2755", + "right": "issue:5989", + "accept": false, + "reason": "Float16 ckpt loading in conversion vs. a safetensors.torch bug; not the same underlying issue." + }, + { + "left": "issue:2763", + "right": "issue:5112", + "accept": false, + "reason": "ControlNet VRAM regression with cudnn benchmark vs. a torch.Size float item error in SDXL ControlNet Img2Img." + }, + { + "left": "issue:2785", + "right": "issue:4071", + "accept": false, + "reason": "M1/M2 text-to-video support vs. inpaint-only+lama support; separate feature requests." + }, + { + "left": "issue:2800", + "right": "issue:938", + "accept": false, + "reason": "DiffEdit semantic editing vs. human motion diffusion; unrelated model/application domains." + }, + { + "left": "issue:2871", + "right": "issue:6732", + "accept": false, + "reason": "Inpainting pipeline latent output handling vs. documentation for `trained_betas`; not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 361, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:2883", + "issue:2907", + "issue:3029", + "issue:3085", + "issue:3116", + "issue:3139", + "issue:3142", + "issue:3182", + "issue:3223", + "issue:3251", + "issue:3283", + "issue:3366", + "issue:3403", + "issue:3406", + "issue:3411", + "issue:3444", + "issue:3461", + "issue:3481", + "issue:3551", + "issue:3566", + "issue:3574", + "issue:3580", + "issue:3624", + "issue:3658", + "issue:3677", + "issue:3688", + "issue:3693", + "issue:3750", + "issue:3774", + "issue:3817", + "issue:4103", + "issue:4450", + "issue:4476", + "issue:4949", + "issue:5002", + "issue:5075", + "issue:5128", + "issue:5403", + "issue:5408", + "issue:5476", + "issue:557", + "issue:5592", + "issue:6218", + "issue:6560", + "issue:6732", + "issue:7061", + "issue:7183" + ], + "soft_pairs": [ + "issue:2883|issue:4949", + "issue:2907|issue:5592", + "issue:3029|issue:4476", + "issue:3085|issue:5002", + "issue:3116|issue:3481", + "issue:3139|issue:3283", + "issue:3142|issue:3223", + "issue:3182|issue:6218", + "issue:3251|issue:6732", + "issue:3366|issue:3574", + "issue:3403|issue:5128", + "issue:3406|issue:4103", + "issue:3411|issue:4450", + "issue:3444|issue:3817", + "issue:3461|issue:6560", + "issue:3551|issue:3774", + "issue:3566|issue:557", + "issue:3580|issue:5075", + "issue:3624|issue:7183", + "issue:3658|issue:5403", + "issue:3677|issue:3688", + "issue:3677|issue:5476", + "issue:3693|issue:7061", + "issue:3750|issue:5408" + ], + "prepared_review_unit_hash": "0af60bf724a932637e4d32117c3118a612e4e12a6a2e2bce6b4cd60e6fbf5b1a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32985, + "estimated_input_tokens": 8247, + "estimated_eval_tokens": 16750 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated issue reports from the same repository, and the proposed soft pairs are all false positives. The only weak thematic overlap is around pipeline/offload/load behavior, but none of the candidate pairs describe the same concrete bug closely enough to merge.", + "confidence": 0.88, + "canonical_issue_reason": "issue:2907 is the clearest, most concrete runtime bug report in the set, with substantial discussion and a specific failure mode around pipeline CPU offload.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2907 is the best representative issue: actionable, well-scoped, and the most plausible anchor for the small offload-related subset of reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2883", + "right": "issue:4949", + "accept": false, + "reason": "Both mention video, but one is a generic image-to-video pipeline request and the other is a ProPainter in/outpainting issue; different features and problems." + }, + { + "left": "issue:2907", + "right": "issue:5592", + "accept": false, + "reason": "Offload failure versus checkpoint-loading failure; these are different code paths and different bugs." + }, + { + "left": "issue:3029", + "right": "issue:4476", + "accept": false, + "reason": "ControlNet custom resolution question versus SDXL+ControlNet fill50k result mismatch; same broad area, not the same bug." + }, + { + "left": "issue:3085", + "right": "issue:5002", + "accept": false, + "reason": "Cache-folder argument removal and missing scheduler argument are unrelated API regressions." + }, + { + "left": "issue:3116", + "right": "issue:3481", + "accept": false, + "reason": "Different scheduler/image2image noise behavior versus DDIM step-consistency complaint; not the same failure." + }, + { + "left": "issue:3139", + "right": "issue:3283", + "accept": false, + "reason": "Both are how-to questions about safetensors, but one is image generation usage and the other is LoRA conversion." + }, + { + "left": "issue:3142", + "right": "issue:3223", + "accept": false, + "reason": "Safety checker placement and RAM not being cleared are unrelated pipeline concerns." + }, + { + "left": "issue:3182", + "right": "issue:6218", + "accept": false, + "reason": "Custom pipeline offload incompatibility versus batched seed behavior in ControlNet/img2img; different bugs." + }, + { + "left": "issue:3251", + "right": "issue:6732", + "accept": false, + "reason": "ControlNet Shuffle behavior and scheduler documentation are different issues, not duplicates." + }, + { + "left": "issue:3366", + "right": "issue:3574", + "accept": false, + "reason": "Autocast/LoRA precision issue versus Windows checkpoint-conversion problem; no concrete overlap." + }, + { + "left": "issue:3403", + "right": "issue:5128", + "accept": false, + "reason": "TorchDynamo pipeline loading and single-file safetensors loading are distinct loading failures." + }, + { + "left": "issue:3406", + "right": "issue:4103", + "accept": false, + "reason": "Attention implementation bug and AutoencoderKL scaling_factor misuse are unrelated components." + }, + { + "left": "issue:3411", + "right": "issue:4450", + "accept": false, + "reason": "Training-script test issue versus multi-text inversion example failure; both are training-related but not the same bug." + }, + { + "left": "issue:3444", + "right": "issue:3817", + "accept": false, + "reason": "ImageBind/audio-to-image integration request and editable dance generation are separate project ideas." + }, + { + "left": "issue:3461", + "right": "issue:6560", + "accept": false, + "reason": "DreamBooth performance comparison versus LoRA shape-size regression; different symptoms and code paths." + }, + { + "left": "issue:3551", + "right": "issue:3774", + "accept": false, + "reason": "LoRA disabling xFormers and ZeRO3 not saving GPU memory are unrelated performance/configuration problems." + }, + { + "left": "issue:3566", + "right": "issue:557", + "accept": false, + "reason": "ControlNet reference community pipeline unexpected results versus DDIM quality comparison; not the same issue." + }, + { + "left": "issue:3580", + "right": "issue:5075", + "accept": false, + "reason": "XFormers TypeError and SDXL refiner prompt-embedding shape mismatch are different model/runtime errors." + }, + { + "left": "issue:3624", + "right": "issue:7183", + "accept": false, + "reason": "Generic getattr type error and scheduler class-name display bug are not the same underlying defect." + }, + { + "left": "issue:3658", + "right": "issue:5403", + "accept": false, + "reason": "DreamBooth upsampler noise addition and T2I adapter training script bug are different training issues." + }, + { + "left": "issue:3677", + "right": "issue:3688", + "accept": false, + "reason": "General Kandinsky support request versus a specific LoRA attention/SDPA fix; not duplicate enough." + }, + { + "left": "issue:3677", + "right": "issue:5476", + "accept": false, + "reason": "Kandinsky feature request and DreamBooth xFormers compatibility question are unrelated." + }, + { + "left": "issue:3693", + "right": "issue:7061", + "accept": false, + "reason": "Kandinsky docstring issues, but they target different pipeline docs and different specific problems." + }, + { + "left": "issue:3750", + "right": "issue:5408", + "accept": false, + "reason": "KDiffusionPipeline LoRA support gap versus bad inference results for kohya-style LoRA; different bug surfaces." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 362, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:3788", + "issue:3809", + "issue:3816", + "issue:3946", + "issue:3967", + "issue:3986", + "issue:4001", + "issue:4043", + "issue:4069", + "issue:4071", + "issue:4171", + "issue:4194", + "issue:4222", + "issue:4241", + "issue:4349", + "issue:4353", + "issue:4354", + "issue:4363", + "issue:4436", + "issue:4445", + "issue:4453", + "issue:4456", + "issue:4468", + "issue:4504", + "issue:4593", + "issue:4634", + "issue:4638", + "issue:4641", + "issue:4667", + "issue:5079", + "issue:5215", + "issue:5281", + "issue:5320", + "issue:5328", + "issue:5410", + "issue:5956", + "issue:6529", + "issue:6685", + "issue:7392", + "issue:7418", + "issue:7454", + "issue:7509", + "issue:8320", + "issue:8440", + "issue:8537", + "issue:8637", + "issue:8831" + ], + "soft_pairs": [ + "issue:3788|issue:7509", + "issue:3809|issue:7418", + "issue:3816|issue:4456", + "issue:3946|issue:8637", + "issue:3967|issue:8320", + "issue:3986|issue:5079", + "issue:4001|issue:5320", + "issue:4043|issue:5281", + "issue:4069|issue:4354", + "issue:4071|issue:6529", + "issue:4171|issue:4436", + "issue:4194|issue:8440", + "issue:4222|issue:7392", + "issue:4241|issue:7392", + "issue:4349|issue:5215", + "issue:4353|issue:5410", + "issue:4354|issue:6685", + "issue:4363|issue:4453", + "issue:4445|issue:7454", + "issue:4468|issue:5956", + "issue:4504|issue:5328", + "issue:4593|issue:8831", + "issue:4634|issue:4638", + "issue:4641|issue:5328", + "issue:4667|issue:8537" + ], + "prepared_review_unit_hash": "af77ffec2ade9b2cfe571cc3f8343e072c2841807657a48a7ca944a27f6c88ab", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33202, + "estimated_input_tokens": 8301, + "estimated_eval_tokens": 16858 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the items span unrelated feature requests and bugs across pipelines, LoRA, SDXL, docs, and training. I do not see a single canonical issue for the group, and none of the soft pairs look like true duplicates or mergeable PR-equivalents.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3788", + "right": "issue:7509", + "accept": false, + "reason": "Different pipeline feature requests (UniControl vs ReNoise); same broad area only, not the same change." + }, + { + "left": "issue:3809", + "right": "issue:7418", + "accept": false, + "reason": "Different bugs and code paths: DDP stride warning vs a specific example-file bug." + }, + { + "left": "issue:3816", + "right": "issue:4456", + "accept": false, + "reason": "Unrelated errors: transformers import/attribute problem vs LoRA loader ModuleList indexing failure." + }, + { + "left": "issue:3946", + "right": "issue:8637", + "accept": false, + "reason": "Different topics: naming complaint for from_ckpt vs import failure for a specific pipeline class." + }, + { + "left": "issue:3967", + "right": "issue:8320", + "accept": false, + "reason": "Both concern loading, but one is a broken branch link/SDXL availability issue and the other is a from_single_file API error." + }, + { + "left": "issue:3986", + "right": "issue:5079", + "accept": false, + "reason": "ShapE mesh output request is unrelated to LoRA weight loading support." + }, + { + "left": "issue:4001", + "right": "issue:5320", + "accept": false, + "reason": "Documentation change vs PEFT API enhancement; not the same bug or change." + }, + { + "left": "issue:4043", + "right": "issue:5281", + "accept": false, + "reason": "Both involve SDXL, but one is missing pooled embeds validation and the other is multi-pipeline device placement." + }, + { + "left": "issue:4069", + "right": "issue:4354", + "accept": false, + "reason": "Textual inversion unload behavior is unrelated to from_single_file returning the wrong pipeline class." + }, + { + "left": "issue:4071", + "right": "issue:6529", + "accept": false, + "reason": "Different inpaint feature requests with no shared code-path evidence." + }, + { + "left": "issue:4171", + "right": "issue:4436", + "accept": false, + "reason": "Docs/homepage rendering bug vs model conversion workflow; unrelated." + }, + { + "left": "issue:4194", + "right": "issue:8440", + "accept": false, + "reason": "Both mention model loading, but the concrete failures differ: VAE loading in from_single_file vs a FromOriginalModelMixin subclassing ValueError." + }, + { + "left": "issue:4222", + "right": "issue:7392", + "accept": false, + "reason": "Training on low-resolution data vs training SDXL with varying aspect ratios; different guidance/problems." + }, + { + "left": "issue:4241", + "right": "issue:7392", + "accept": false, + "reason": "LoRA fine-tuning support request is unrelated to aspect-ratio training questions." + }, + { + "left": "issue:4349", + "right": "issue:5215", + "accept": false, + "reason": "Same pipeline family, but different bugs: missing text_encoder requirement vs brightness shift on dark inputs." + }, + { + "left": "issue:4353", + "right": "issue:5410", + "accept": false, + "reason": "Both are quality complaints, but they describe different SDXL behaviors and likely different causes." + }, + { + "left": "issue:4354", + "right": "issue:6685", + "accept": false, + "reason": "Wrong pipeline type from from_single_file vs Dreambooth output_dir path handling; unrelated." + }, + { + "left": "issue:4363", + "right": "issue:4453", + "accept": false, + "reason": "Loading an SDXL base checkpoint is unrelated to converting LoRA weights for A1111." + }, + { + "left": "issue:4445", + "right": "issue:7454", + "accept": false, + "reason": "General LoRA finetuning question vs generic LoRA support request; not the same underlying issue." + }, + { + "left": "issue:4468", + "right": "issue:5956", + "accept": false, + "reason": "Performance differences in sample code on multi-GPU vs degraded SD-XL U-Net fine-tuning results; different contexts and symptoms." + }, + { + "left": "issue:4504", + "right": "issue:5328", + "accept": false, + "reason": "Both involve LoRA loading failures, but one is a specific state_dict exception and the other is a broad regression report without matching concrete failure details." + }, + { + "left": "issue:4593", + "right": "issue:8831", + "accept": false, + "reason": "LoRA rank/unsupported layer limitations are related broadly, but the concrete error and scope do not match closely enough." + }, + { + "left": "issue:4634", + "right": "issue:4638", + "accept": false, + "reason": "Custom Diffusion safe-serialization issue vs SDXL textual inversion loading issue; different features." + }, + { + "left": "issue:4641", + "right": "issue:5328", + "accept": false, + "reason": "Both are LoRA-loading complaints, but one is about native diffusers LoRA files on local disk and the other is a broad Civitai regression; insufficient evidence of the same bug." + }, + { + "left": "issue:4667", + "right": "issue:8537", + "accept": false, + "reason": "Both use from_single_file, but they target different models and different failure modes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 363, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:4672", + "issue:4675", + "issue:4681", + "issue:4708", + "issue:4724", + "issue:4764", + "issue:4877", + "issue:5022", + "issue:5061", + "issue:5081", + "issue:5084", + "issue:5128", + "issue:5138", + "issue:525", + "issue:5374", + "issue:5429", + "issue:5760", + "issue:5777", + "issue:5783", + "issue:5791", + "issue:5805", + "issue:5905", + "issue:5925", + "issue:5947", + "issue:5972", + "issue:5977", + "issue:5980", + "issue:6079", + "issue:6091", + "issue:6092", + "issue:6093", + "issue:6203", + "issue:6240", + "issue:6388", + "issue:6412", + "issue:6496", + "issue:6753", + "issue:6791", + "issue:7177", + "issue:7405", + "issue:770", + "issue:7871", + "issue:8742", + "issue:8771", + "issue:8803", + "issue:9101", + "issue:9511", + "issue:9674" + ], + "soft_pairs": [ + "issue:4672|issue:9101", + "issue:4675|issue:6412", + "issue:4681|issue:4877", + "issue:4708|issue:5061", + "issue:4724|issue:5081", + "issue:4764|issue:6791", + "issue:5022|issue:8771", + "issue:5084|issue:8742", + "issue:5128|issue:5777", + "issue:5138|issue:6388", + "issue:525|issue:770", + "issue:5374|issue:7177", + "issue:5429|issue:6496", + "issue:5760|issue:7405", + "issue:5783|issue:8803", + "issue:5791|issue:5972", + "issue:5805|issue:6079", + "issue:5905|issue:5947", + "issue:5925|issue:9511", + "issue:5977|issue:6093", + "issue:5980|issue:6093", + "issue:6091|issue:6753", + "issue:6092|issue:9674", + "issue:6203|issue:6388", + "issue:6240|issue:7871" + ], + "prepared_review_unit_hash": "ebd4fa26dcd19ae87242a4768f2151a07a8c6027059fd8a50aa107214c97b82f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33463, + "estimated_input_tokens": 8366, + "estimated_eval_tokens": 16988 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated SDXL/ControlNet/LoRA training bugs, import/runtime errors, and feature requests. None of the soft pairs appear to be the same underlying issue or change, so I would not merge any of them as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a safe canonical because the items span different code paths and even different feature requests/models.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4672", + "right": "issue:9101", + "accept": false, + "reason": "Different training targets and model families: SDXL LoRA VRAM tuning vs SD3 InstructPix2Pix training." + }, + { + "left": "issue:4675", + "right": "issue:6412", + "accept": false, + "reason": "One is a ControlNet reference-only SDXL feature request; the other is annotators to ONNX. Different changes." + }, + { + "left": "issue:4681", + "right": "issue:4877", + "accept": false, + "reason": "Transformer2DModel positional embedding bug vs LoRA noise_init_strength API request; unrelated." + }, + { + "left": "issue:4708", + "right": "issue:5061", + "accept": false, + "reason": "Both are import/argument errors, but in different commands and code paths; not the same bug." + }, + { + "left": "issue:4724", + "right": "issue:5081", + "accept": false, + "reason": "SDXL img2img checkpoint behavior vs LPW XL shape-mismatch error; different pipelines and failures." + }, + { + "left": "issue:4764", + "right": "issue:6791", + "accept": false, + "reason": "LoRA weight loading from OFT vs SDXL training script failing to run; unrelated problems." + }, + { + "left": "issue:5022", + "right": "issue:8771", + "accept": false, + "reason": "Different dependency/import breakages in different symbols and releases; not one concrete fix." + }, + { + "left": "issue:5084", + "right": "issue:8742", + "accept": false, + "reason": "Flax SDXL import error vs LoRAAttnProcessor removal regression; different frameworks and fixes." + }, + { + "left": "issue:5128", + "right": "issue:5777", + "accept": false, + "reason": "Single-file SDXL loading error vs PixArt DreamBooth training error; unrelated." + }, + { + "left": "issue:5138", + "right": "issue:6388", + "accept": false, + "reason": "Training-utils refactor request vs gradient checkpointing being ignored; different issues." + }, + { + "left": "issue:525", + "right": "issue:770", + "accept": false, + "reason": "Notebook local-disk loading vs Colab start-training failure; too broad and not the same bug." + }, + { + "left": "issue:5374", + "right": "issue:7177", + "accept": false, + "reason": "Unexpected checkpoint_path argument vs StableCascadeDecoderPipeline.from_pretrained error; unrelated." + }, + { + "left": "issue:5429", + "right": "issue:6496", + "accept": false, + "reason": "Both mention DreamBooth/examples, but one is generic VAE support and the other is multi-person instance example; not the same change." + }, + { + "left": "issue:5760", + "right": "issue:7405", + "accept": false, + "reason": "Different new model requests: video-to-audio synthesis vs image-to-video DynamiCrafter." + }, + { + "left": "issue:5783", + "right": "issue:8803", + "accept": false, + "reason": "SDXL EMA training bug vs duplicate hidden_states assignment in attention processor; unrelated code paths." + }, + { + "left": "issue:5791", + "right": "issue:5972", + "accept": false, + "reason": "DreamBooth parameter interaction question vs ControlNet docs for min-SNR weighting; not the same bug/change." + }, + { + "left": "issue:5805", + "right": "issue:6079", + "accept": false, + "reason": "Both are dtype mismatch errors, but in different models/pipelines; too generic to treat as duplicates." + }, + { + "left": "issue:5905", + "right": "issue:5947", + "accept": false, + "reason": "Separate model requests with different goals (Diffusion-GAN vs Diffusion-DPO policy objective)." + }, + { + "left": "issue:5925", + "right": "issue:9511", + "accept": false, + "reason": "ZipLoRA multi-LoRA inference vs multi-ControlNet batching; different features." + }, + { + "left": "issue:5977", + "right": "issue:6093", + "accept": false, + "reason": "Saving wrong LoRA keys vs push_to_hub repo creation bug; different training-script issues." + }, + { + "left": "issue:5980", + "right": "issue:6093", + "accept": false, + "reason": "ControlNet SDXL output format question vs push_to_hub behavior in a Consistency Model script; unrelated." + }, + { + "left": "issue:6091", + "right": "issue:6753", + "accept": false, + "reason": "Consistency decoder memory-size issue vs VAE configuration issue; different components." + }, + { + "left": "issue:6092", + "right": "issue:9674", + "accept": false, + "reason": "LoRA example not training vs SD3 ControlNet training quality; different model families and failures." + }, + { + "left": "issue:6203", + "right": "issue:6388", + "accept": false, + "reason": "SDXL controlnet image-size question vs gradient checkpointing ignored in SDXL+LoRA training; unrelated." + }, + { + "left": "issue:6240", + "right": "issue:7871", + "accept": false, + "reason": "AutoPipeline device_map error vs blockwise scales with an SDXL LoRA checkpoint; different runtime paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 364, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:6256", + "issue:6313", + "issue:6457", + "issue:7112", + "issue:7220", + "issue:7438", + "issue:7440", + "issue:7469", + "issue:7798", + "issue:7836", + "issue:7841", + "issue:7962", + "issue:8320", + "issue:8485", + "issue:8500", + "issue:8504", + "issue:8534", + "issue:8540", + "issue:8543", + "issue:8546", + "issue:8645", + "issue:8649", + "issue:8731", + "issue:9032", + "issue:9039", + "issue:9069", + "issue:9220", + "issue:9448", + "issue:9477", + "issue:9873", + "issue:9974" + ], + "soft_pairs": [ + "issue:6256|issue:7962", + "issue:6313|issue:9873", + "issue:6457|issue:8543", + "issue:7112|issue:7440", + "issue:7220|issue:9448", + "issue:7438|issue:8645", + "issue:7469|issue:9220", + "issue:7798|issue:7836", + "issue:7841|issue:8731", + "issue:8320|issue:9477", + "issue:8485|issue:8540", + "issue:8500|issue:8534", + "issue:8504|issue:8540", + "issue:8546|issue:8649", + "issue:9032|issue:9039", + "issue:9069|issue:9974" + ], + "prepared_review_unit_hash": "2ba06f03bd7941b206496dbd6547bca5f05dfd37f54dcb2e68eaf619d235af74", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 31, + "item_count": 31, + "soft_pair_count": 16, + "serialized_chars": 21593, + "estimated_input_tokens": 5399, + "estimated_eval_tokens": 11054 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the items cover unrelated pipeline features, training bugs, model support requests, and docs/questions. No single canonical duplicate stands out, and all soft pairs should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "No clear canonical issue: the set does not center on one underlying bug or feature change; the titles span unrelated subsystems and use cases.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue candidate: none of these issues is a representative duplicate anchor for the others because they are not describing the same problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6256", + "right": "issue:7962", + "accept": false, + "reason": "Both are pipeline API feature requests, but one adds a step-begin callback and the other adds cross_attention_kwargs; different concrete changes." + }, + { + "left": "issue:6313", + "right": "issue:9873", + "accept": false, + "reason": "Both request new pipelines, but for entirely different models and code paths; not the same underlying change." + }, + { + "left": "issue:6457", + "right": "issue:8543", + "accept": false, + "reason": "Different training bugs in different scripts: multi-GPU gradient accumulation vs SD3 dreambooth gradient checkpointing." + }, + { + "left": "issue:7112", + "right": "issue:7440", + "accept": false, + "reason": "Unrelated topics: IP-Adapter image embedding dimensions vs dataset availability for text-to-image." + }, + { + "left": "issue:7220", + "right": "issue:9448", + "accept": false, + "reason": "Same general pipeline family, but distinct failures: unload_ip_adapter error vs runtime tuple/shape error during IP-Adapter use." + }, + { + "left": "issue:7438", + "right": "issue:8645", + "accept": false, + "reason": "XPU generation stall and missing single_file_utils helper are unrelated bugs." + }, + { + "left": "issue:7469", + "right": "issue:9220", + "accept": false, + "reason": "Both mention variable-related errors, but they affect different pipelines and code paths." + }, + { + "left": "issue:7798", + "right": "issue:7836", + "accept": false, + "reason": "PixArtAlpha pipeline bug and CLIP training overfitting are unrelated." + }, + { + "left": "issue:7841", + "right": "issue:8731", + "accept": false, + "reason": "Different problems: image artifact on zoom vs slow batched text-to-image generation." + }, + { + "left": "issue:8320", + "right": "issue:9477", + "accept": false, + "reason": "These are separate exception reports in different contexts; not the same concrete failure." + }, + { + "left": "issue:8485", + "right": "issue:8540", + "accept": false, + "reason": "Both concern SD3 training, but one is LoRA support and the other is caching embeddings/VAE representations; different changes." + }, + { + "left": "issue:8500", + "right": "issue:8534", + "accept": false, + "reason": "SD3 token limit discussion and wrong logit-normal weighting are distinct training concerns." + }, + { + "left": "issue:8504", + "right": "issue:8540", + "accept": false, + "reason": "Different feature requests for SD3 training; not the same implementation change." + }, + { + "left": "issue:8546", + "right": "issue:8649", + "accept": false, + "reason": "Missing from-single-file support and num_images_per_prompt regression are unrelated SD3 issues." + }, + { + "left": "issue:9032", + "right": "issue:9039", + "accept": false, + "reason": "Both are FlaxStableDiffusionPipeline questions, but one is a TPU MWE request and the other is LoRA loading; different issues." + }, + { + "left": "issue:9069", + "right": "issue:9974", + "accept": false, + "reason": "A numpy type error and SD3 controlnet parameter support are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 2, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10327-2", + "nodes": [ + "issue:10327", + "issue:10328" + ], + "soft_pairs": [ + "issue:10327|issue:10328" + ], + "prepared_review_unit_hash": "6f7f962f8abfd105de32b66fa98c7266889f3dbbf8c24e06621cc1e75d90faaf", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1577, + "estimated_input_tokens": 395, + "estimated_eval_tokens": 1046 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1577, + "estimated_input_tokens": 395, + "estimated_eval_tokens": 1046 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are closely related but not duplicates: one is a broad request to propagate applicable quantization settings during model loading, while the other is a specific request to support `optimum.quanto` as a load-time backend.", + "confidence": 0.83, + "canonical_issue_reason": "Issue 10327 is the broader umbrella: it describes the general load-time `quantization_config` application problem and can subsume backend-specific support requests like `optimum.quanto`.", + "canonical_pr_reason": null, + "best_issue_reason": "10327 is the better representative issue because it captures the underlying mechanism rather than one particular quantization backend.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10327", + "right": "issue:10328", + "accept": false, + "reason": "Related scope, but not the same underlying request: 10327 is a general model-loading quantization propagation issue, while 10328 is specifically about adding `optimum.quanto` support." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 3, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10375-2", + "nodes": [ + "issue:10375", + "issue:10433" + ], + "soft_pairs": [ + "issue:10375|issue:10433" + ], + "prepared_review_unit_hash": "95e8965e25668b8e7a1aa854f1354d44fd4981e7567122569c0056c436d41b2b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1528, + "estimated_input_tokens": 382, + "estimated_eval_tokens": 1020 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1528, + "estimated_input_tokens": 382, + "estimated_eval_tokens": 1020 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are closed documentation-link issues, but the evidence only shows broad topical overlap, not the same specific broken links or doc section. Treat them as related but not duplicates.", + "confidence": 0.78, + "canonical_issue_reason": "Issue 10433 is the more specific report (\u201cBroken Links in a Section of Documentation\u201d) and likely represents the better canonical discussion target for this doc-links cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "10433 has the clearer scope and more detailed body, so it is the best issue to anchor the cluster if these are grouped together.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10375", + "right": "issue:10433", + "accept": false, + "reason": "Both are about broken documentation links, but neither identifies the same exact pages or failure mode; the overlap is too broad to treat as the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 4, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6309-3", + "nodes": [ + "issue:10414", + "issue:6309", + "issue:9120" + ], + "soft_pairs": [ + "issue:6309|issue:9120", + "issue:10414|issue:9120" + ], + "prepared_review_unit_hash": "488a2127cc3d37ea80d1ac3273f6be5fe048180d20e385e839bc71614bbf3b0e", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2422, + "estimated_input_tokens": 606, + "estimated_eval_tokens": 1468 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2422, + "estimated_input_tokens": 606, + "estimated_eval_tokens": 1468 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are separate translation requests for different target languages, not duplicates of the same issue. They share a template and topic, but each one is a distinct language-specific task.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue: each ticket targets a different language (Chinese, Japanese, Arabic), so they represent separate work items rather than the same bug/change.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6309 is the best representative only in the sense that it is the most active/open translation request, but it is not a valid canonical for the others because the language target differs.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6309", + "right": "issue:9120", + "accept": false, + "reason": "Different target languages (Japanese vs Arabic); these are separate translation requests, not the same underlying issue." + }, + { + "left": "issue:10414", + "right": "issue:9120", + "accept": false, + "reason": "Different target languages (Chinese vs Arabic); same template, but distinct work items." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 5, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9900-2", + "nodes": [ + "issue:10457", + "issue:9900" + ], + "soft_pairs": [ + "issue:10457|issue:9900" + ], + "prepared_review_unit_hash": "b1b9cb4ed84b8af2dfa62f237ed31a8be24817d8d43131a1acec8e21ac73095c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1471, + "estimated_input_tokens": 368, + "estimated_eval_tokens": 992 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1471, + "estimated_input_tokens": 368, + "estimated_eval_tokens": 992 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are both vague bug reports, but they appear to concern different areas: one is specifically about FluxPriorReduxPipeline comments, while the other is a generic repaint bug. I would not cluster them as duplicates.", + "confidence": 0.86, + "canonical_issue_reason": "Issue #10457 is the more specific and informative report, with a concrete subsystem reference in the title.", + "canonical_pr_reason": null, + "best_issue_reason": "#10457 is the best representative issue because it is specific enough to anchor the cluster, whereas #9900 is too generic to serve as a canonical example.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10457", + "right": "issue:9900", + "accept": false, + "reason": "The titles point to different underlying problems and different code areas; the overlap is only generic bug language, not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 6, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1046-2", + "nodes": [ + "issue:1046", + "issue:3148" + ], + "soft_pairs": [ + "issue:1046|issue:3148" + ], + "prepared_review_unit_hash": "54e780f9838862f0e09d3f365125be59c4fd476d71448a874b722ded53814b31", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1497, + "estimated_input_tokens": 375, + "estimated_eval_tokens": 1006 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1497, + "estimated_input_tokens": 375, + "estimated_eval_tokens": 1006 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are not duplicates: one is about loading custom pipelines via from_pretrained, the other about promoting community ControlNet pipelines. They share only a very broad pipeline/theme overlap.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1046 is the broader, more foundational topic; 3148 is a narrower community-ControlNet follow-up and not the same underlying problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1046", + "right": "issue:3148", + "accept": false, + "reason": "Different requests and code paths: custom pipeline loading/from_pretrained versus surfacing community ControlNet pipelines. The similarity is only at the high-level pipeline concept." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 7, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10562-2", + "nodes": [ + "issue:10562", + "issue:10599" + ], + "soft_pairs": [ + "issue:10562|issue:10599" + ], + "prepared_review_unit_hash": "6b78a850502c3f79064d013f8bfe43b3dd551b9065df416cc201a0fda17e74f6", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1577, + "estimated_input_tokens": 395, + "estimated_eval_tokens": 1046 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1577, + "estimated_input_tokens": 395, + "estimated_eval_tokens": 1046 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues look closely related at the title level, but the packet only provides soft similarity and no body-level evidence, so they should not be treated as definite duplicates. Issue 10599 is still the better canonical representative because it is more specific.", + "confidence": 0.68, + "canonical_issue_reason": "issue:10599 is the clearer, more specific report: it names the exact error text and the Civitai/popular LoRA context.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10599 is the best representative issue because it is narrower and more actionable, but the available evidence is not strong enough to prove the two issues are the same bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10562", + "right": "issue:10599", + "accept": false, + "reason": "Only title-level similarity and a moderate soft-similarity score are available, with no body evidence, explicit target, or shared file/target evidence. This is enough to say the reports may be related, but not enough to accept them as the same underlying bug." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The representative choice is not sufficiently grounded. The packet only provides title-level similarity and a soft-similarity score (jaccard ~0.45) with no body evidence, so treating these as definite duplicates or the same underlying bug is too strong. The canonical-issue preference for 10599 is fine, but the soft-edge verdict should be conservative (e.g. \"possibly related\" rather than accepted as same bug)." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 8, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10621-2", + "nodes": [ + "issue:10621", + "issue:11752" + ], + "soft_pairs": [ + "issue:10621|issue:11752" + ], + "prepared_review_unit_hash": "6c7ea69710dcf176964aa7bb1d416dd2dcef51a4f1be4954e17e65ec59c8e34c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1594, + "estimated_input_tokens": 399, + "estimated_eval_tokens": 1054 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1594, + "estimated_input_tokens": 399, + "estimated_eval_tokens": 1054 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "#10621 remains the best canonical issue because it captures the exact TorchaoLoraLinear constructor failure, while #11752 is a broader int8 LoRA-loading report with only title-level overlap.", + "confidence": 0.79, + "canonical_issue_reason": "#10621 is the stronger canonical issue because it names the precise error path (`TorchaoLoraLinear.__init__()` missing `get_apply_tensor_subclass`) and ties it to quantized-model LoRA loading.", + "canonical_pr_reason": null, + "best_issue_reason": "#10621 is the best representative for the cluster since it gives the concrete failure signature; #11752 is too general to serve as the main issue without clearer body-level matching.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10621", + "right": "issue:11752", + "accept": false, + "reason": "Conservative reject: the packet only shows soft similarity and no shared targets/files or body evidence proving the same failure path. The titles suggest related LoRA/int8 loading problems, but that is not enough to treat them as definitively the same bug." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The canonical issue choice is grounded in the packet, but the soft-edge verdict is too strong. The packet only shows title-level similarity and a `soft_similarity` edge with `deterministic_accept: false`; it does not establish that #10621 and #11752 are definitively the same bug. Please keep that pair conservative unless the body text clearly matches the same failure path." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 9, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2413-8", + "nodes": [ + "issue:10680", + "issue:11898", + "issue:11899", + "issue:11900", + "issue:2413", + "issue:2441", + "issue:5929", + "issue:6652" + ], + "soft_pairs": [ + "issue:2413|issue:2441", + "issue:11898|issue:2413", + "issue:11899|issue:2413", + "issue:11900|issue:2413", + "issue:2413|issue:6652", + "issue:2441|issue:6652", + "issue:10680|issue:2441", + "issue:11898|issue:2441", + "issue:11899|issue:2441", + "issue:2413|issue:5929", + "issue:2441|issue:5929", + "issue:11898|issue:5929", + "issue:11899|issue:5929", + "issue:11900|issue:5929", + "issue:10680|issue:6652", + "issue:11898|issue:6652", + "issue:11899|issue:6652", + "issue:10680|issue:2413", + "issue:10680|issue:11898", + "issue:10680|issue:11899", + "issue:11898|issue:11899", + "issue:11898|issue:11900", + "issue:11899|issue:11900", + "issue:11900|issue:2441", + "issue:11900|issue:6652" + ], + "prepared_review_unit_hash": "fe8c5a5cd038a6b26709c80d026634bae527464a6fb9ad27fc6460fca641b80d", + "component_budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 25, + "serialized_chars": 12960, + "estimated_input_tokens": 3240, + "estimated_eval_tokens": 6736 + }, + "budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 25, + "serialized_chars": 12960, + "estimated_input_tokens": 3240, + "estimated_eval_tokens": 6736 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is dominated by duplicate reports about missing fp16 artifacts in Stable Diffusion model repos. Exact duplicates for stabilityai/stable-diffusion-2 should merge; cross-model/version reports (2 vs 2-1 vs v1-5, or base variants) are related but not the same issue.", + "confidence": 0.87, + "canonical_issue_reason": "Issue 2413 is the oldest exact-match report for the stable-diffusion-2 fp16-file absence and has multiple direct duplicates pointing to it.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 2413 is the best representative of the cluster\u2019s clearest duplicate set: repeated stable-diffusion-2 missing-fp16 reports with the broadest direct duplication signal.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2413", + "right": "issue:2441", + "accept": false, + "reason": "Different model targets: stable-diffusion-2 vs stable-diffusion-2-1. Same general symptom, but not the same underlying issue." + }, + { + "left": "issue:11898", + "right": "issue:2413", + "accept": true, + "reason": "Same model and same missing-fp16 problem; this is a direct duplicate of the stable-diffusion-2 report." + }, + { + "left": "issue:11899", + "right": "issue:2413", + "accept": true, + "reason": "Same title and same stable-diffusion-2 missing-fp16 complaint; duplicate." + }, + { + "left": "issue:11900", + "right": "issue:2413", + "accept": true, + "reason": "Same stable-diffusion-2 missing-fp16 issue; duplicate of the older report." + }, + { + "left": "issue:2413", + "right": "issue:6652", + "accept": false, + "reason": "Different model/version and different artifact wording; related category, but not the same bug report." + }, + { + "left": "issue:2441", + "right": "issue:6652", + "accept": true, + "reason": "Both are about stable-diffusion-2-1 missing fp16 artifacts, with the latter naming a specific fp16 safetensors file; same underlying issue." + }, + { + "left": "issue:10680", + "right": "issue:2441", + "accept": false, + "reason": "Base variant vs the general 2-1 model report; too specific/different to treat as the same duplicate." + }, + { + "left": "issue:11898", + "right": "issue:2441", + "accept": false, + "reason": "stable-diffusion-2 vs stable-diffusion-2-1 are different model targets." + }, + { + "left": "issue:11899", + "right": "issue:2441", + "accept": false, + "reason": "stable-diffusion-2 vs stable-diffusion-2-1 are different model targets." + }, + { + "left": "issue:2413", + "right": "issue:5929", + "accept": false, + "reason": "Different model families (stable-diffusion-2 vs runwayml/stable-diffusion-v1-5); same symptom only at a broad category level." + }, + { + "left": "issue:2441", + "right": "issue:5929", + "accept": false, + "reason": "Different model families and versions; not the same underlying issue." + }, + { + "left": "issue:11898", + "right": "issue:5929", + "accept": false, + "reason": "Different model family/version; only the symptom overlaps." + }, + { + "left": "issue:11899", + "right": "issue:5929", + "accept": false, + "reason": "Different model family/version; only the symptom overlaps." + }, + { + "left": "issue:11900", + "right": "issue:5929", + "accept": false, + "reason": "Different model family/version; only the symptom overlaps." + }, + { + "left": "issue:10680", + "right": "issue:6652", + "accept": false, + "reason": "Base-variant 2-1-base report does not cleanly match the general 2-1 safetensors report." + }, + { + "left": "issue:11898", + "right": "issue:6652", + "accept": false, + "reason": "Different model target (stable-diffusion-2 vs stable-diffusion-2-1) and different file-specific complaint." + }, + { + "left": "issue:11899", + "right": "issue:6652", + "accept": false, + "reason": "Different model target (stable-diffusion-2 vs stable-diffusion-2-1) and different file-specific complaint." + }, + { + "left": "issue:10680", + "right": "issue:2413", + "accept": false, + "reason": "stable-diffusion-2-1-base is a different artifact from stable-diffusion-2; related but not a duplicate." + }, + { + "left": "issue:10680", + "right": "issue:11898", + "accept": false, + "reason": "Different model targets: 2-1-base vs 2." + }, + { + "left": "issue:10680", + "right": "issue:11899", + "accept": false, + "reason": "Different model targets: 2-1-base vs 2." + }, + { + "left": "issue:11898", + "right": "issue:11899", + "accept": true, + "reason": "Exact same stable-diffusion-2 missing-fp16 report; clear duplicate." + }, + { + "left": "issue:11898", + "right": "issue:11900", + "accept": true, + "reason": "Exact same stable-diffusion-2 missing-fp16 report; clear duplicate." + }, + { + "left": "issue:11899", + "right": "issue:11900", + "accept": true, + "reason": "Exact same stable-diffusion-2 missing-fp16 report; clear duplicate." + }, + { + "left": "issue:11900", + "right": "issue:2441", + "accept": false, + "reason": "Different model versions: stable-diffusion-2 vs stable-diffusion-2-1." + }, + { + "left": "issue:11900", + "right": "issue:6652", + "accept": false, + "reason": "Different model target and file-specific complaint; not the same issue." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: 2413 is the oldest stable-diffusion-2 report, and 11898/11899/11900 are exact-title duplicates of that same model-specific complaint. The cross-model pairings are handled conservatively as related but not identical, and the accepted soft-edge matches are limited to clearly same-model/same-symptom cases." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 10, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1074-5", + "nodes": [ + "issue:1074", + "issue:1075", + "issue:3329", + "issue:4643", + "issue:5551" + ], + "soft_pairs": [ + "issue:1074|issue:1075", + "issue:1074|issue:3329", + "issue:3329|issue:4643", + "issue:3329|issue:5551" + ], + "prepared_review_unit_hash": "dba09d4f9224dab04dbe499252c8601bab37222045edf5a66f811d8f62bac271", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 4137, + "estimated_input_tokens": 1035, + "estimated_eval_tokens": 2326 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 4137, + "estimated_input_tokens": 1035, + "estimated_eval_tokens": 2326 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are all loosely related support questions about JAX/model usage, but they do not describe the same underlying bug or change. No duplicate cluster emerges here.", + "confidence": 0.91, + "canonical_issue_reason": "No clear canonical issue: the five issues ask different how-to questions (saving models, inference, inpaint model compatibility, ControlNet inference code, and model inversion).", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1075 is the broadest representative of the cluster\u2019s general JAX-inference theme, but it is not a true duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1074", + "right": "issue:1075", + "accept": false, + "reason": "Saving JAX models and using JAX inference are different tasks, not the same defect or request." + }, + { + "left": "issue:1074", + "right": "issue:3329", + "accept": false, + "reason": "Model saving and inpaint-model compatibility are unrelated support questions." + }, + { + "left": "issue:3329", + "right": "issue:4643", + "accept": false, + "reason": "Inpaint model loading vs. ControlNet inference implementation are different code-path questions." + }, + { + "left": "issue:3329", + "right": "issue:5551", + "accept": false, + "reason": "Loading a specific inpaint model is not the same as asking whether any pretrained model can be inverted." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 11, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-807-4", + "nodes": [ + "issue:1093", + "issue:2084", + "issue:807", + "issue:918" + ], + "soft_pairs": [ + "issue:807|issue:918", + "issue:2084|issue:807", + "issue:1093|issue:918" + ], + "prepared_review_unit_hash": "d9f5541b9c3fdad945c5bf06e0db7bf026f1baad254dda90b0f2a68dc70a17a5", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 3321, + "estimated_input_tokens": 831, + "estimated_eval_tokens": 1918 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 3321, + "estimated_input_tokens": 831, + "estimated_eval_tokens": 1918 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are thematically related to Dreambooth/textual inversion training failures, but they describe different underlying problems: low-VRAM limits, train-text-encoder type errors, and a float16/float32 dtype mismatch. I would not merge any of the soft edges.", + "confidence": 0.88, + "canonical_issue_reason": "Issue 807 is the broadest and most central Dreambooth training-failure report in the set, so it is the best umbrella representative even though the others are not true duplicates.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 807 best captures the cluster\u2019s main theme of Dreambooth training not working, but its symptom is still distinct from the other concrete error reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:807", + "right": "issue:918", + "accept": false, + "reason": "Low-VRAM training failure vs. a specific --train-text-encoder type error in train_dreambooth.py; different bug modes." + }, + { + "left": "issue:2084", + "right": "issue:807", + "accept": false, + "reason": "Float16/float32 UNet dtype mismatch is a different concrete failure from an 8GB training/memory issue." + }, + { + "left": "issue:1093", + "right": "issue:918", + "accept": false, + "reason": "Textual inversion with DeepSpeed fallback is a different code path and symptom than the Dreambooth train-text-encoder type error." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 12, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1094-3", + "nodes": [ + "issue:1094", + "issue:1288", + "issue:3227" + ], + "soft_pairs": [ + "issue:1094|issue:1288", + "issue:1288|issue:3227" + ], + "prepared_review_unit_hash": "5f510d1cdc875abf8a27cabaaffa83dfe646862d9a155e61e17a93222c2c058f", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2451, + "estimated_input_tokens": 613, + "estimated_eval_tokens": 1482 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2451, + "estimated_input_tokens": 613, + "estimated_eval_tokens": 1482 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are all about model/inference speedups, but they describe different optimization ideas rather than the same concrete change. Issue 3227 is the broadest umbrella and best representative of the cluster.", + "confidence": 0.73, + "canonical_issue_reason": "Issue 3227 is the most general speed-optimization umbrella (\u201cWinograd Convolution & other Speed Is All You Need optimizations\u201d), while 1094 and 1288 are narrower exploratory ideas around specific third-party acceleration paths.", + "canonical_pr_reason": null, + "best_issue_reason": "3227 best represents the shared theme of performance work because it can encompass multiple speedup approaches without being tied to a single vendor/tool experiment.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1094", + "right": "issue:1288", + "accept": false, + "reason": "Both are exploratory speed-improvement ideas, but one targets kernl and the other NVIDIA TransformerEngine; they are different proposed solutions, not the same underlying change." + }, + { + "left": "issue:1288", + "right": "issue:3227", + "accept": false, + "reason": "They share a performance theme, but 1288 is specifically about TransformerEngine while 3227 is a broader set of optimization ideas, so they are not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 13, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11008-5", + "nodes": [ + "issue:11008", + "issue:11304", + "issue:11326", + "issue:12138", + "issue:12465" + ], + "soft_pairs": [ + "issue:11008|issue:11326", + "issue:11008|issue:12138", + "issue:11304|issue:12465", + "issue:11304|issue:11326", + "issue:11326|issue:12465" + ], + "prepared_review_unit_hash": "29d206ab40aec8161fe5e1f0d11d7d67fe6e411f0fcc60b2ceb4ed55f74fabbd", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 5, + "serialized_chars": 4442, + "estimated_input_tokens": 1111, + "estimated_eval_tokens": 2478 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 5, + "serialized_chars": 4442, + "estimated_input_tokens": 1111, + "estimated_eval_tokens": 2478 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Loose topical cluster around Wan video and Remote VAE, but the evidence only supports relatedness, not duplicate/mergeable identity. None of the issue pairs have enough concrete overlap to accept as the same underlying bug/change.", + "confidence": 0.69, + "canonical_issue_reason": "issue:11326 is the most central and specific issue title in the cluster because it directly names both Wan Video and RemoteVAE, matching the common theme more closely than the broader support/feedback/requirements reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11326 is still the best single issue to represent the cluster, but only as the focal topic; the surrounding issues are related context, not confirmed duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11008", + "right": "issue:11326", + "accept": false, + "reason": "Related theme only: both mention Wan video / RemoteVAE, but the titles alone do not show the same concrete bug or change. Without body or diff evidence, this is too weak to accept as a duplicate." + }, + { + "left": "issue:11008", + "right": "issue:12138", + "accept": false, + "reason": "The titles point to different concerns: model support versus a requirements/usage question. Related topic, not the same underlying issue." + }, + { + "left": "issue:11304", + "right": "issue:12465", + "accept": false, + "reason": "Both are about Remote VAE, but one is a specific unpacked-latents request and the other is generic feedback. Not enough evidence that they are the same actionable problem." + }, + { + "left": "issue:11304", + "right": "issue:11326", + "accept": false, + "reason": "Same subsystem, but one is a narrow unpacked-latents request and the other is a Wan Video RemoteVAE topic. Too different to treat as duplicates." + }, + { + "left": "issue:11326", + "right": "issue:12465", + "accept": false, + "reason": "Generic Remote VAE feedback is related to Wan Video RemoteVAE, but the available evidence does not show the same concrete issue or a mergeable PR target." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "Most of the summary is grounded, but one soft-edge verdict is too strong for the available evidence: issue:11008 vs issue:11326 is only clearly a related Wan video / RemoteVAE theme from the titles, not a conservative duplicate/mergeable match. With no body or diff evidence, that pair should stay unresolved or be marked related, not accepted. The other pairwise rejections are appropriately conservative." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 14, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9085-5", + "nodes": [ + "issue:11019", + "issue:12899", + "issue:9085", + "issue:9151", + "issue:9910" + ], + "soft_pairs": [ + "issue:11019|issue:9085", + "issue:12899|issue:9085", + "issue:9085|issue:9151", + "issue:9151|issue:9910", + "issue:11019|issue:12899" + ], + "prepared_review_unit_hash": "fe69388c0faedb3ef620ec6cf380b662e1f14264998b449a4fa298f84f344ad9", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 5, + "serialized_chars": 4517, + "estimated_input_tokens": 1130, + "estimated_eval_tokens": 2516 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 5, + "serialized_chars": 4517, + "estimated_input_tokens": 1130, + "estimated_eval_tokens": 2516 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are thematically related ControlNet feature requests, but they target different pipelines/models (Flux, Sana, Z-Image, StableDiffusion latent upscale, img2img). They are not the same underlying bug/change, so they should not be deduplicated.", + "confidence": 0.81, + "canonical_issue_reason": "issue:9085 is the best representative because it is the clearest, most central ControlNet request in this cluster and has the most discussion, but it is still model-specific (Flux) rather than a true umbrella duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9085 is the strongest cluster anchor: it explicitly asks for a ControlNet training script for Flux, which is the most concrete and broadly aligned request among the issues.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11019", + "right": "issue:9085", + "accept": false, + "reason": "Both mention ControlNet training, but one is for Sana and the other for Flux; these are different model-specific requests, not the same change." + }, + { + "left": "issue:12899", + "right": "issue:9085", + "accept": false, + "reason": "Z-Image ControlNet training and Flux ControlNet training are distinct model targets and would require different implementation work." + }, + { + "left": "issue:9085", + "right": "issue:9151", + "accept": false, + "reason": "One requests a training script, the other requests an img2img pipeline; related subsystem, but not the same underlying feature." + }, + { + "left": "issue:9151", + "right": "issue:9910", + "accept": false, + "reason": "ControlNet img2img support and prompt_embeds support in a latent upscale pipeline are unrelated feature requests." + }, + { + "left": "issue:11019", + "right": "issue:12899", + "accept": false, + "reason": "Both are ControlNet-related, but they target different models (Sana vs Z-Image) and different asks, so they are not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 15, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11121-2", + "nodes": [ + "issue:11121", + "issue:11168" + ], + "soft_pairs": [], + "prepared_review_unit_hash": "d58c53e5539858791e9950572647387145ab9e55f79437f26f106245c467a960", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 0, + "serialized_chars": 1203, + "estimated_input_tokens": 301, + "estimated_eval_tokens": 858 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 0, + "serialized_chars": 1203, + "estimated_input_tokens": 301, + "estimated_eval_tokens": 858 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both issues are about adding SageAttention support for the diffuser library, so they are the same feature request. The newer, more specific open issue is the better canonical record.", + "confidence": 0.93, + "canonical_issue_reason": "Issue #11168 is more specific (\u201cSage Attention for diffuser library\u201d), has the richer discussion, and is still open; #11121 is a shorter generic duplicate request.", + "canonical_pr_reason": null, + "best_issue_reason": "#11168 is the best issue to keep as the cluster representative because it is clearer, more detailed, and better reflects the exact requested change.", + "best_pr_reason": null, + "soft_edge_verdicts": [] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 16, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7925-2", + "nodes": [ + "issue:11181", + "issue:7925" + ], + "soft_pairs": [ + "issue:11181|issue:7925" + ], + "prepared_review_unit_hash": "9bb8ab8ec7ab374baef63f9154bd10335b00ce5abd50832577bedff610d1e54d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1585, + "estimated_input_tokens": 397, + "estimated_eval_tokens": 1050 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1585, + "estimated_input_tokens": 397, + "estimated_eval_tokens": 1050 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are both controlnet-training issue reports, but they describe different problems: one is Flux ControlNet training producing bad results on a toy dataset, while the other concerns ControlNet training with LoRA. They overlap in subsystem, not in a clearly shared bug.", + "confidence": 0.83, + "canonical_issue_reason": "Issue 11181 is the more specific and concrete report, naming the exact script (`train_controlnet_flux.py`) and symptom (bad results on fill50k), so it is the better representative issue.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11181 is the best issue in this cluster because it is the most actionable and narrowly scoped description of the training failure.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11181", + "right": "issue:7925", + "accept": false, + "reason": "Both are about ControlNet training problems, but one is Flux-specific bad output and the other is a LoRA-related training issue; they do not look like the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 17, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11267-2", + "nodes": [ + "issue:11267", + "issue:12542" + ], + "soft_pairs": [ + "issue:11267|issue:12542" + ], + "prepared_review_unit_hash": "150b62bfadf0e417bfe897b619de1ec94b4b30d847ebf4dee351a384434b6494", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1504, + "estimated_input_tokens": 376, + "estimated_eval_tokens": 1008 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1504, + "estimated_input_tokens": 376, + "estimated_eval_tokens": 1008 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are unrelated: one requests adding `onnxruntime-qnn` to a list, the other requests custom `output_params` for `export_to_video`. They do not describe the same bug or change.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11267", + "right": "issue:12542", + "accept": false, + "reason": "Different feature requests in different code areas; no shared underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 18, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2419-12", + "nodes": [ + "issue:11295", + "issue:11460", + "issue:12125", + "issue:12253", + "issue:13061", + "issue:2419", + "issue:2601", + "issue:2611", + "issue:5492", + "issue:5863", + "issue:5918", + "issue:7198" + ], + "soft_pairs": [ + "issue:11295|issue:2419", + "issue:11460|issue:2419", + "issue:12125|issue:2419", + "issue:2419|issue:2601", + "issue:2419|issue:5492", + "issue:11295|issue:2601", + "issue:11460|issue:2601", + "issue:12125|issue:2601", + "issue:2601|issue:5492", + "issue:2611|issue:5492", + "issue:2611|issue:5918", + "issue:12253|issue:2611", + "issue:2419|issue:2611", + "issue:2601|issue:2611", + "issue:12253|issue:5492", + "issue:5492|issue:5918", + "issue:2419|issue:5863", + "issue:11295|issue:5863", + "issue:11460|issue:5863", + "issue:12125|issue:5863", + "issue:12253|issue:5863", + "issue:12253|issue:5918", + "issue:2419|issue:5918", + "issue:2601|issue:5918", + "issue:2419|issue:7198", + "issue:11295|issue:7198", + "issue:11460|issue:7198", + "issue:12125|issue:7198", + "issue:2601|issue:7198", + "issue:11295|issue:11460", + "issue:11295|issue:12125", + "issue:11295|issue:5492", + "issue:11460|issue:12125", + "issue:11460|issue:12253", + "issue:12125|issue:5492", + "issue:12253|issue:13061", + "issue:12253|issue:2419", + "issue:13061|issue:5863", + "issue:11295|issue:13061", + "issue:11460|issue:13061", + "issue:12125|issue:13061" + ], + "prepared_review_unit_hash": "0bcf1952944095f96f2565d4e142eaa92cb106c18efa193c21fec18fd4dd8464", + "component_budget": { + "node_count": 12, + "item_count": 12, + "soft_pair_count": 41, + "serialized_chars": 20972, + "estimated_input_tokens": 5243, + "estimated_eval_tokens": 10742 + }, + "budget": { + "node_count": 12, + "item_count": 12, + "soft_pair_count": 41, + "serialized_chars": 20972, + "estimated_input_tokens": 5243, + "estimated_eval_tokens": 10742 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is mostly several duplicate issue families about missing fp16 model files. The largest and clearest family is CompVis/stable-diffusion-v1-4; a second family is stabilityai/stable-diffusion-2-base; the remaining issues are different repos or different missing-file problems.", + "confidence": 0.88, + "canonical_issue_reason": "issue:2419 is the earliest, cleanest, exact-title report for the main stable-diffusion-v1-4 fp16 missing-files bug, and it anchors the largest duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2419 is the best global representative because it is the canonical early duplicate for the dominant issue family and has the most straightforward title.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11295", + "right": "issue:2419", + "accept": true, + "reason": "Same repo/model family and same missing-fp16-files problem." + }, + { + "left": "issue:11460", + "right": "issue:2419", + "accept": true, + "reason": "Same stable-diffusion-v1-4 fp16 missing-files issue." + }, + { + "left": "issue:12125", + "right": "issue:2419", + "accept": true, + "reason": "Same underlying stable-diffusion-v1-4 fp16 missing-files bug." + }, + { + "left": "issue:2419", + "right": "issue:2601", + "accept": false, + "reason": "Different model repo; same symptom but not the same concrete bug." + }, + { + "left": "issue:2419", + "right": "issue:5492", + "accept": false, + "reason": "Different Stable Diffusion checkpoint/repo, so this is a separate missing-files report." + }, + { + "left": "issue:11295", + "right": "issue:2601", + "accept": false, + "reason": "Different model repo and checkpoint." + }, + { + "left": "issue:11460", + "right": "issue:2601", + "accept": false, + "reason": "Different repo/model; only the fp16 symptom overlaps." + }, + { + "left": "issue:12125", + "right": "issue:2601", + "accept": false, + "reason": "Different repo/model, not one mergeable bug." + }, + { + "left": "issue:2601", + "right": "issue:5492", + "accept": false, + "reason": "Different checkpoints; not the same artifact missing file set." + }, + { + "left": "issue:2611", + "right": "issue:5492", + "accept": false, + "reason": "One is a missing torch_model.bin in depth model; the other is fp16 files in base model." + }, + { + "left": "issue:2611", + "right": "issue:5918", + "accept": false, + "reason": "Different repo and different missing filename/type." + }, + { + "left": "issue:12253", + "right": "issue:2611", + "accept": false, + "reason": "Different model family and different missing file." + }, + { + "left": "issue:2419", + "right": "issue:2611", + "accept": false, + "reason": "Different concrete missing-file problem." + }, + { + "left": "issue:2601", + "right": "issue:2611", + "accept": false, + "reason": "Different repository and different missing artifact." + }, + { + "left": "issue:12253", + "right": "issue:5492", + "accept": true, + "reason": "Both are the same stabilityai/stable-diffusion-2-base fp16 missing-files issue." + }, + { + "left": "issue:5492", + "right": "issue:5918", + "accept": false, + "reason": "Different model versions and different missing artifact specifics." + }, + { + "left": "issue:2419", + "right": "issue:5863", + "accept": true, + "reason": "Same stable-diffusion-v1-4 fp16 filenames problem, just phrased more specifically." + }, + { + "left": "issue:11295", + "right": "issue:5863", + "accept": true, + "reason": "Same stable-diffusion-v1-4 missing-fp16-files bug." + }, + { + "left": "issue:11460", + "right": "issue:5863", + "accept": true, + "reason": "Same underlying v1-4 fp16 filename issue." + }, + { + "left": "issue:12125", + "right": "issue:5863", + "accept": true, + "reason": "Same repo/model and same missing fp16 files." + }, + { + "left": "issue:12253", + "right": "issue:5863", + "accept": false, + "reason": "Different checkpoint family; not the same bug." + }, + { + "left": "issue:12253", + "right": "issue:5918", + "accept": false, + "reason": "Different model family and different specific missing file." + }, + { + "left": "issue:2419", + "right": "issue:5918", + "accept": false, + "reason": "Different checkpoint/version and a different filename-specific issue." + }, + { + "left": "issue:2601", + "right": "issue:5918", + "accept": false, + "reason": "Different repo/model family." + }, + { + "left": "issue:2419", + "right": "issue:7198", + "accept": false, + "reason": "Different repo/model; only the fp16 symptom is shared." + }, + { + "left": "issue:11295", + "right": "issue:7198", + "accept": false, + "reason": "Different checkpoint family." + }, + { + "left": "issue:11460", + "right": "issue:7198", + "accept": false, + "reason": "Different repo/model, not one concrete bug." + }, + { + "left": "issue:12125", + "right": "issue:7198", + "accept": false, + "reason": "Different checkpoint/repo." + }, + { + "left": "issue:2601", + "right": "issue:7198", + "accept": false, + "reason": "Different model repository and artifact set." + }, + { + "left": "issue:11295", + "right": "issue:11460", + "accept": true, + "reason": "Exact same stable-diffusion-v1-4 missing-fp16-files report." + }, + { + "left": "issue:11295", + "right": "issue:12125", + "accept": true, + "reason": "Exact same underlying v1-4 fp16 missing-files issue." + }, + { + "left": "issue:11295", + "right": "issue:5492", + "accept": false, + "reason": "Different model checkpoint family." + }, + { + "left": "issue:11460", + "right": "issue:12125", + "accept": true, + "reason": "Same repo/model and same fp16 missing-files bug." + }, + { + "left": "issue:11460", + "right": "issue:12253", + "accept": false, + "reason": "Different checkpoint family." + }, + { + "left": "issue:12125", + "right": "issue:5492", + "accept": false, + "reason": "Different model repo/version." + }, + { + "left": "issue:12253", + "right": "issue:13061", + "accept": false, + "reason": "Different repos and different failure mode; not the same concrete issue." + }, + { + "left": "issue:12253", + "right": "issue:2419", + "accept": false, + "reason": "Different checkpoint family; same broad symptom only." + }, + { + "left": "issue:13061", + "right": "issue:5863", + "accept": false, + "reason": "Different model and a different fp16-related error path." + }, + { + "left": "issue:11295", + "right": "issue:13061", + "accept": false, + "reason": "Different repository/model." + }, + { + "left": "issue:11460", + "right": "issue:13061", + "accept": false, + "reason": "Different repository/model and issue type." + }, + { + "left": "issue:12125", + "right": "issue:13061", + "accept": false, + "reason": "Different model repo and unrelated filename availability problem." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The grouping is grounded in the packet: 2419/11295/11460/12125/5863 are clearly the same CompVis/stable-diffusion-v1-4 fp16-files issue, while 5492/12253 is a separate stable-diffusion-2-base family, and the remaining issues are different repos or different missing-artifact bugs. The rejected cross-family pairs are conservative, not overstated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 19, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11390-2", + "nodes": [ + "issue:11390", + "issue:11730" + ], + "soft_pairs": [ + "issue:11390|issue:11730" + ], + "prepared_review_unit_hash": "459921b05124092936a290a909b7a091f795d82c1b6b2d3e730863960249444c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1560, + "estimated_input_tokens": 390, + "estimated_eval_tokens": 1036 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1560, + "estimated_input_tokens": 390, + "estimated_eval_tokens": 1036 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two closed issues about training-script follow-ups, but they target different features: image interpolation vs LoRA alpha/metadata handling. They are related in theme, not duplicates.", + "confidence": 0.93, + "canonical_issue_reason": "issue #11390 is the better canonical issue because it has substantially more discussion and inbound references, suggesting broader community attention.", + "canonical_pr_reason": null, + "best_issue_reason": "#11390 is the strongest representative issue for the cluster since it appears more established and widely referenced than #11730.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11390", + "right": "issue:11730", + "accept": false, + "reason": "Both are follow-up issues in training scripts, but they concern different concrete changes. One is about image interpolation; the other is about `--lora_alpha` and metadata handling. Same subsystem, not the same bug/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 20, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-478-5", + "nodes": [ + "issue:1145", + "issue:1238", + "issue:478", + "issue:522", + "issue:523" + ], + "soft_pairs": [ + "issue:478|issue:523", + "issue:522|issue:523", + "issue:1145|issue:522", + "issue:1145|issue:1238" + ], + "prepared_review_unit_hash": "d44b284630057cac98aa37c67947996b56c8a5719d2733f1cd20d8186ffcbd37", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 4098, + "estimated_input_tokens": 1025, + "estimated_eval_tokens": 2306 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 4098, + "estimated_input_tokens": 1025, + "estimated_eval_tokens": 2306 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The set is mostly unrelated Flax issues. The only clear duplicate pair is the PT<->Flax conversion-script request: issues 478 and 523. The other issues concern version breakage, loss instability, and dropout in UNet, which are separate topics.", + "confidence": 0.88, + "canonical_issue_reason": "Issue 478 is the better anchor for the duplicate conversion-script request because it states the feature more completely ('automatic conversion PT <=> Flax script'); issue 523 is essentially the same request phrased more briefly.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 478 is the strongest representative of the only true duplicate subgroup in this set. The remaining issues do not match closely enough to serve as duplicates of it or of each other.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:478", + "right": "issue:523", + "accept": true, + "reason": "Same underlying request: a PT<->Flax conversion script. The titles are near-paraphrases and describe the same feature change." + }, + { + "left": "issue:522", + "right": "issue:523", + "accept": false, + "reason": "Different topics: dropout for Flax UNet versus a PT/Flax conversion script. They do not describe the same bug or change." + }, + { + "left": "issue:1145", + "right": "issue:522", + "accept": false, + "reason": "One is about Flax 0.7.0 not working; the other is a dropout feature request. No shared concrete problem." + }, + { + "left": "issue:1145", + "right": "issue:1238", + "accept": false, + "reason": "Both mention Flax, but one reports version breakage and the other reports crazy loss; these are different failure modes and not the same issue." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analysis is well-grounded in the packet and stays conservative: it accepts only the clearly matching PT<->Flax conversion-script pair (478/523) and rejects the other soft similarities as different topics. The summary does not overstate the evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 21, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-960-5", + "nodes": [ + "issue:11542", + "issue:12185", + "issue:2720", + "issue:4146", + "issue:960" + ], + "soft_pairs": [ + "issue:2720|issue:960", + "issue:11542|issue:2720", + "issue:2720|issue:4146", + "issue:12185|issue:2720" + ], + "prepared_review_unit_hash": "ab9f0b00b514768a147478efe7fcdc84990377dcc97ab18cb127a7d11af84f8b", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 4340, + "estimated_input_tokens": 1085, + "estimated_eval_tokens": 2426 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 4340, + "estimated_input_tokens": 1085, + "estimated_eval_tokens": 2426 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All items are loosely related \u201cwhat\u2019s the difference between X and Y?\u201d questions, but they do not describe the same underlying bug, change, or code-path issue. No soft duplicates should be merged here.", + "confidence": 0.91, + "canonical_issue_reason": "issue:2720 is the earliest and broadest of the LoRA/DreamBooth comparison questions, so if one issue had to stand in for this topic cluster it would be the best anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2720 is the best representative issue for the cluster because it covers the core LoRA vs DreamBooth script comparison and predates the others.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2720", + "right": "issue:960", + "accept": false, + "reason": "Different topics entirely: LoRA training-script comparison vs scheduler comparison (PNDM vs PLMS)." + }, + { + "left": "issue:11542", + "right": "issue:2720", + "accept": false, + "reason": "Both are LoRA-related comparisons, but they ask about different scripts and a different distinction; not the same underlying issue." + }, + { + "left": "issue:2720", + "right": "issue:4146", + "accept": false, + "reason": "One compares training scripts; the other compares DreamBooth LoRA vs DreamBooth. Related conceptually, but not the same concrete question." + }, + { + "left": "issue:12185", + "right": "issue:2720", + "accept": false, + "reason": "Different comparison target: DreamBooth LoRA vs traditional LoRA, versus text-to-image LoRA vs DreamBooth LoRA." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 22, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11691-2", + "nodes": [ + "issue:11691", + "issue:11692" + ], + "soft_pairs": [ + "issue:11691|issue:11692" + ], + "prepared_review_unit_hash": "a992d89f67d0a1290f61f98a81d88b06316f57565b67e6890cf24359e1faa6c5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1426, + "estimated_input_tokens": 357, + "estimated_eval_tokens": 970 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1426, + "estimated_input_tokens": 357, + "estimated_eval_tokens": 970 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are effectively identical closed spam issues, so they cluster as the same issue class; issue #11691 is the best canonical representative by virtue of being older.", + "confidence": 0.98, + "canonical_issue_reason": "#11691 and #11692 have the same title, same body length, no code references, and no distinguishing metadata; pick the older one as canonical.", + "canonical_pr_reason": null, + "best_issue_reason": "#11691 is as representative as #11692, with identical spam characteristics and earlier creation time, making it the cleanest anchor for the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11691", + "right": "issue:11692", + "accept": true, + "reason": "Identical spam-like issues with no substantive differences; they appear to be the same underlying artifact." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary and canonical choice are grounded in the packet: the two issues have identical titles, equal body length, no refs/filenames, and only differ by timestamp, so using the older one as the canonical representative is conservative. The soft-edge accept is also reasonable given the extremely strong similarity evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 23, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4047-2", + "nodes": [ + "issue:11766", + "issue:4047" + ], + "soft_pairs": [ + "issue:11766|issue:4047" + ], + "prepared_review_unit_hash": "e6d28abdcfd9bbec32380e37efcf75ae489dfd6e6b24282937b8bb470d228d91", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1497, + "estimated_input_tokens": 375, + "estimated_eval_tokens": 1006 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1497, + "estimated_input_tokens": 375, + "estimated_eval_tokens": 1006 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are about related LoRA/adapters functionality, but they do not describe the same underlying bug: one is a concrete bug with adapters under compiled models, the other is a usage question about LoRA scale during loading.", + "confidence": 0.86, + "canonical_issue_reason": "Issue 11766 is the better canonical issue because it is a specific, actionable bug report with a clear failure mode; issue 4047 is more of a general question about LoRA scaling rather than the same defect.", + "canonical_pr_reason": null, + "best_issue_reason": "11766 is the strongest representative for the cluster because it is the more concrete and diagnostic report; 4047 is broader and not clearly the same problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11766", + "right": "issue:4047", + "accept": false, + "reason": "They touch the same LoRA/adapters area, but 11766 concerns setting adapters on a compiled model, while 4047 asks how to set LoRA scale when loading a model. Different behavior, different failure mode, not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 24, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11798-2", + "nodes": [ + "issue:11798", + "issue:12748" + ], + "soft_pairs": [ + "issue:11798|issue:12748" + ], + "prepared_review_unit_hash": "90b138774427459f7432dba78a630bd128d0bd6d52885a9893f7d0e52df28bc2", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1529, + "estimated_input_tokens": 383, + "estimated_eval_tokens": 1022 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1529, + "estimated_input_tokens": 383, + "estimated_eval_tokens": 1022 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are both feature requests for GGUF support, but they target different model families (Cosmos-Predict2 vs Z-Image-Turbo) and do not look like the same underlying bug or change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 12748 is the cleaner standalone request, but it is still model-specific and not a safe canonical for the pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11798", + "right": "issue:12748", + "accept": false, + "reason": "Both ask for GGUF/model-format support, but for different models and likely separate integration work; this is a shared feature theme, not the same duplicate issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 25, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9383-2", + "nodes": [ + "issue:11817", + "issue:9383" + ], + "soft_pairs": [ + "issue:11817|issue:9383" + ], + "prepared_review_unit_hash": "e90c22d0903e138ecc2fccbd8c919014b84570bf10f46c493f2596a2983bded6", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1488, + "estimated_input_tokens": 372, + "estimated_eval_tokens": 1000 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1488, + "estimated_input_tokens": 372, + "estimated_eval_tokens": 1000 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two closed issues are both Flux-related feature requests, but they ask for different capabilities: one for flux_control support on Flux Kontext Dev, and one for bitsandbytes/LoRA model support. They do not appear to be the same underlying bug or change.", + "confidence": 0.89, + "canonical_issue_reason": "Neither issue is a clear duplicate of the other. If one must be chosen, #11817 is the more concrete and narrowly scoped request.", + "canonical_pr_reason": null, + "best_issue_reason": "#11817 is the better representative because it states a specific Flux/Control-related request, while #9383 is a separate LoRA/bitsandbytes support request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11817", + "right": "issue:9383", + "accept": false, + "reason": "Both mention Flux, but they target different features and code paths: flux_control support for Kontext Dev versus bitsandbytes support for LoRA models. This is not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 26, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9585-2", + "nodes": [ + "issue:11956", + "issue:9585" + ], + "soft_pairs": [ + "issue:11956|issue:9585" + ], + "prepared_review_unit_hash": "420f7c7a4a3b754eb0f84d91ee3298f1c3259374d4c74e750e2ad122a067b0a1", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1567, + "estimated_input_tokens": 392, + "estimated_eval_tokens": 1040 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1567, + "estimated_input_tokens": 392, + "estimated_eval_tokens": 1040 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are related in theme (high-guidance artifacts in diffusion models) but do not look like the same underlying request or bug: one is a specific FDG proposal, the other is a broader APG issue about oversaturation/artifacts. I would not merge them as duplicates.", + "confidence": 0.74, + "canonical_issue_reason": "issue:9585 is the broader, more established problem statement about high guidance-scale artifacts; issue:11956 appears to be a narrower proposal (FDG) that could belong under it but is not the same issue.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9585 is the best single representative because its title and scope cover the general defect class, whereas issue:11956 is a specific technique proposal rather than the same open problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11956", + "right": "issue:9585", + "accept": false, + "reason": "They share the same broad diffusion-guidance topic, but FDG vs APG indicates different methods/proposals and not a clearly identical underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 27, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12295-3", + "nodes": [ + "issue:12295", + "issue:12344", + "issue:12893" + ], + "soft_pairs": [ + "issue:12295|issue:12344", + "issue:12344|issue:12893" + ], + "prepared_review_unit_hash": "3506a32d05227a5283a7be2f7c5618bfc8732a0d3a55b055fb1ee80f0c033e03", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2389, + "estimated_input_tokens": 598, + "estimated_eval_tokens": 1452 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2389, + "estimated_input_tokens": 598, + "estimated_eval_tokens": 1452 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are not duplicates as a cluster. #12344 is the clearest, most specific Qwen Image bug report; #12295 is a broad umbrella issue; #12893 appears to be a related-but-different Z-Image text-length problem.", + "confidence": 0.84, + "canonical_issue_reason": "#12344 is the most concrete and actionable report: it names a specific Qwen Image field (`txt_seq_lens`) and the alleged problem. #12295 is too vague/broad, and #12893 is about Z-Image rather than Qwen Image.", + "canonical_pr_reason": null, + "best_issue_reason": "#12344 is the best representative issue because it targets a specific, likely root-cause bug in Qwen Image, whereas the others are either too generic or for a different model.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12295", + "right": "issue:12344", + "accept": false, + "reason": "The first issue is an umbrella 'Various' report, while the second is a specific `txt_seq_lens` complaint. They do not clearly describe the same underlying bug." + }, + { + "left": "issue:12344", + "right": "issue:12893", + "accept": false, + "reason": "Both mention text sequence length, but one is for Qwen Image and the other for Z-Image; that is too weak to treat as the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 28, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-282-2", + "nodes": [ + "issue:1232", + "issue:282" + ], + "soft_pairs": [ + "issue:1232|issue:282" + ], + "prepared_review_unit_hash": "89a32dbaa5c6153939c3271711126822226c4505385951690cd170a86e8a083c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1517, + "estimated_input_tokens": 380, + "estimated_eval_tokens": 1016 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1517, + "estimated_input_tokens": 380, + "estimated_eval_tokens": 1016 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are about different bugs in different parts of the product: one is Dreambooth learning-rate scheduling, the other is inpainting on CPU. They should not be clustered as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": "Issue #1232 is the more self-contained and specific bug report, so it is the better representative if a single issue must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #1232 is the clearest standalone bug description; issue #282 is unrelated and not suitable as the cluster representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1232", + "right": "issue:282", + "accept": false, + "reason": "Different underlying problems and code paths: Dreambooth cosine_with_restarts behavior versus CPU support for inpainting. They do not describe the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 29, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12375-2", + "nodes": [ + "issue:12375", + "issue:12990" + ], + "soft_pairs": [ + "issue:12375|issue:12990" + ], + "prepared_review_unit_hash": "76570bb067f21af3fe76e08b1f06cd8c310dabae3cec82bffc15d75b04de4f20", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1550, + "estimated_input_tokens": 388, + "estimated_eval_tokens": 1032 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1550, + "estimated_input_tokens": 388, + "estimated_eval_tokens": 1032 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues appear related and topic-overlapping, but the packet only shows title-level/soft similarity, so duplication is not established with confidence.", + "confidence": 0.48, + "canonical_issue_reason": "#12375 is the earlier, broader thread and is the safer canonical representative for this topic, but the available evidence is not strong enough to treat the pair as confirmed duplicates.", + "canonical_pr_reason": null, + "best_issue_reason": "#12990 is the more explicit and actionable phrasing of the topic, so it is a slightly better representative of the request, though still not enough to prove it is the same underlying issue as #12375.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12375", + "right": "issue:12990", + "accept": false, + "reason": "The evidence only supports soft topical similarity: both mention kernels in Diffusers, but there is no explicit linkage, shared targets, or enough detail to conclude they ask the same underlying request." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The packet only provides title-level similarity plus a soft-similarity signal; it does not support the stronger claim that both issues ask the same underlying request or are near-duplicates with confidence. A more conservative framing would be that they appear related and topic-overlapping, but duplication is not established from the available evidence." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 30, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12410-2", + "nodes": [ + "issue:12410", + "issue:13112" + ], + "soft_pairs": [ + "issue:12410|issue:13112" + ], + "prepared_review_unit_hash": "70c706a919c332b8dfb74480e3edc83bff72ba177758a7692181b12d8e2e53ad", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1558, + "estimated_input_tokens": 390, + "estimated_eval_tokens": 1036 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1558, + "estimated_input_tokens": 390, + "estimated_eval_tokens": 1036 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are unrelated: one is a WanVACEPipeline runtime limitation around low-noise-only operation, the other is a SkyReelsV2DiffusionForcingPipeline package-dependency check problem. The soft duplicate link should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "issue #12410 is the better canonical representative only in the sense that it is a concrete functional bug report; #13112 is a separate dependency-validation issue in a different pipeline.", + "canonical_pr_reason": null, + "best_issue_reason": "#12410 is the strongest issue to anchor the cluster because it describes a specific pipeline failure mode, while #13112 concerns missing package checks and does not share the same underlying bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12410", + "right": "issue:13112", + "accept": false, + "reason": "Different pipelines and different failure classes: low-noise-stage behavior vs missing available-package checks. They do not describe the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 31, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12569-3", + "nodes": [ + "issue:12569", + "issue:12570", + "issue:12589" + ], + "soft_pairs": [ + "issue:12569|issue:12570", + "issue:12569|issue:12589", + "issue:12570|issue:12589" + ], + "prepared_review_unit_hash": "570a8e9ad155cb10531e945b201e2823a614338630439c5aff6e4cabe070911e", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2729, + "estimated_input_tokens": 683, + "estimated_eval_tokens": 1622 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2729, + "estimated_input_tokens": 683, + "estimated_eval_tokens": 1622 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three different feature requests\u2014TaylorSeer, unified attention, and TeaCache\u2014not duplicates of the same underlying change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No true canonical issue here; if one must be chosen, 12589 is the only open item, but it is a distinct TeaCache request rather than a duplicate of the others.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12569", + "right": "issue:12570", + "accept": false, + "reason": "Different requested features with different mechanisms; only a generic similarity in being feature asks." + }, + { + "left": "issue:12569", + "right": "issue:12589", + "accept": false, + "reason": "TaylorSeer and TeaCache are separate feature ideas, not the same bug or code change." + }, + { + "left": "issue:12570", + "right": "issue:12589", + "accept": false, + "reason": "Unified attention and TeaCache target different model components and do not look mergeable as one change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 32, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1257-3", + "nodes": [ + "issue:1257", + "issue:2950", + "issue:3147" + ], + "soft_pairs": [ + "issue:1257|issue:2950", + "issue:2950|issue:3147" + ], + "prepared_review_unit_hash": "12ef6f353bdc17f8d3edd126539c235396a863f5887dd7da7a5f390717aa2fe9", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2396, + "estimated_input_tokens": 599, + "estimated_eval_tokens": 1454 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2396, + "estimated_input_tokens": 599, + "estimated_eval_tokens": 1454 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Issues 1257 and 2950 both center on img2img/inpaint pipeline API unification and whether img2img should be a separate pipeline; 3147 is a separate performance concern about reducing model loads during pipeline switches.", + "confidence": 0.84, + "canonical_issue_reason": "#1257 is the most concrete and broadly representative of the shared img2img pipeline/API unification theme, with a clearer actionable scope than the more open-ended architectural question in #2950.", + "canonical_pr_reason": null, + "best_issue_reason": "#1257 is the best standalone representative because it names the specific API convention (`init_image`) and spans the same underlying pipeline-structure discussion seen in #2950.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1257", + "right": "issue:2950", + "accept": true, + "reason": "Both issues discuss the same underlying img2img/inpaint pipeline design and image-input API unification; they are close enough to be treated as the same change/theme." + }, + { + "left": "issue:2950", + "right": "issue:3147", + "accept": false, + "reason": "They only overlap at a broad pipeline level: #2950 is about img2img pipeline structure, while #3147 is specifically about reducing model loads on pipeline switches. Different concrete problems and fixes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and the soft-edge verdicts stay conservative. #1257 and #2950 are reasonably tied by the shared img2img/inpaint pipeline structure/API theme, and #3147 is correctly treated as a separate pipeline-switch performance issue rather than the same bugfix." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 33, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1266-2", + "nodes": [ + "issue:1266", + "issue:1295" + ], + "soft_pairs": [ + "issue:1266|issue:1295" + ], + "prepared_review_unit_hash": "c007648f93773a66d713ebd40a392339eec9f2a816ba0ccd0d93ce364ac352a4", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1507, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1507, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both closed issues concern prompt-running failures in the Stable Diffusion/JAX notebook space, but one is generic and the other is a narrower multi-prompt notebook report. They look related, yet the available evidence is too thin to treat them as the same exact bug with high confidence.", + "confidence": 0.55, + "canonical_issue_reason": "Issue 1295 is the more specific and actionable report, with the clearer reproduction context ('multiple prompts' in a named notebook).", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1295 is the best representative because its title better identifies the failing workflow and scope of the problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1266", + "right": "issue:1295", + "accept": false, + "reason": "The titles overlap around prompt execution, but 1266 is generic while 1295 is specifically about multiple prompts in one notebook; without shared targets, filenames, or body details, this is not enough to \u092a\u0941\u0937\u094d\u091f\u093f the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 34, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12864-2", + "nodes": [ + "issue:12864", + "issue:12935" + ], + "soft_pairs": [ + "issue:12864|issue:12935" + ], + "prepared_review_unit_hash": "a4406f42548b6b892d669c0a35d8e69b3cf75eca59572798234d46c489120918", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1590, + "estimated_input_tokens": 398, + "estimated_eval_tokens": 1052 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1590, + "estimated_input_tokens": 398, + "estimated_eval_tokens": 1052 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both issues request the same feature: a Diffusers skill for Claude and a Claude Code plugin. They differ only in wording and specificity, so they should be treated as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": "Issue #12935 is the clearest wording of the feature request and explicitly names Hugging Face Diffusers, Claude, and Claude Code.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #12935 is the best representative because it is more explicit while describing the same request as the other issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12864", + "right": "issue:12935", + "accept": true, + "reason": "Same underlying feature request with only minor wording differences; both ask for a Diffusers skill for Claude and a Claude Code plugin." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both issues ask for a Diffusers/Hugging Face Diffusers skill for Claude plus a Claude Code plugin. The soft-edge accept is conservative because the titles are near-paraphrases with only minor wording differences, and the canonical issue choice is supported by the clearer title." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 35, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12925-2", + "nodes": [ + "issue:12925", + "issue:12926" + ], + "soft_pairs": [ + "issue:12925|issue:12926" + ], + "prepared_review_unit_hash": "914390db2e9649f274d90bd5a854a054d643f94b5e2db279e406601e9e50e0a0", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1490, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1490, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two closed issues are about different LTX-2 topics: one requests distilled checkpoint support, the other concerns the condition pipeline. They share only broad project context, not the same underlying problem.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue 12925 is the more concrete, self-contained feature request, but it is not a duplicate of 12926.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12925", + "right": "issue:12926", + "accept": false, + "reason": "Different scopes: distilled checkpoint support versus condition pipeline. No shared target, filename, or concrete bug/change indicating the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 36, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1296-2", + "nodes": [ + "issue:1296", + "issue:3134" + ], + "soft_pairs": [ + "issue:1296|issue:3134" + ], + "prepared_review_unit_hash": "2be9816aba3c0610185f7d3c77b830dd868b266fa81e3f6c3c2db1307a05f34b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1435, + "estimated_input_tokens": 359, + "estimated_eval_tokens": 974 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1435, + "estimated_input_tokens": 359, + "estimated_eval_tokens": 974 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are related by topic/name, but they do not look like the same underlying bug or request. \"Paella v3\" reads like a distinct follow-up or revision rather than a duplicate of the original \"Paella\" issue.", + "confidence": 0.78, + "canonical_issue_reason": "issue #3134 is the better representative: its title is more specific, it is newer, and it has inbound references, suggesting it is the more central tracking item.", + "canonical_pr_reason": null, + "best_issue_reason": "#3134 is the strongest issue to keep as the cluster anchor because it is the more explicit and better-connected Paella topic.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1296", + "right": "issue:3134", + "accept": false, + "reason": "Shared topic only; the titles suggest a related follow-up/versioning relationship, not the same concrete issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 37, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-871-9", + "nodes": [ + "issue:1333", + "issue:871", + "issue:872", + "issue:873", + "issue:875", + "issue:876", + "issue:877", + "issue:878", + "issue:895" + ], + "soft_pairs": [ + "issue:871|issue:895", + "issue:871|issue:872", + "issue:871|issue:875", + "issue:871|issue:876", + "issue:871|issue:877", + "issue:872|issue:875", + "issue:872|issue:876", + "issue:872|issue:877", + "issue:872|issue:878", + "issue:871|issue:873", + "issue:872|issue:873", + "issue:873|issue:875", + "issue:873|issue:876", + "issue:873|issue:877", + "issue:875|issue:876", + "issue:875|issue:877", + "issue:875|issue:878", + "issue:876|issue:878", + "issue:876|issue:895", + "issue:1333|issue:876", + "issue:876|issue:877", + "issue:877|issue:878", + "issue:872|issue:895", + "issue:873|issue:895", + "issue:875|issue:895", + "issue:1333|issue:878", + "issue:1333|issue:895", + "issue:1333|issue:871", + "issue:1333|issue:872" + ], + "prepared_review_unit_hash": "e6db404f70a6bdddac415d720a6a1dced063bb2104252d82764fe207ec67160b", + "component_budget": { + "node_count": 9, + "item_count": 9, + "soft_pair_count": 29, + "serialized_chars": 14818, + "estimated_input_tokens": 3705, + "estimated_eval_tokens": 7666 + }, + "budget": { + "node_count": 9, + "item_count": 9, + "soft_pair_count": 29, + "serialized_chars": 14818, + "estimated_input_tokens": 3705, + "estimated_eval_tokens": 7666 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are distinct Community Pipeline feature requests, not duplicates of the same bug or change. The overlap is mostly the shared project/theme wording, so all soft edges should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": "No single issue is a true canonical duplicate target here; the cluster is heterogeneous and each item describes a different pipeline or feature request.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 871 is the best representative if one must be chosen: it has the strongest external reference activity and is a broad, high-visibility Community Pipeline request, though it is not a duplicate canonical.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:871", + "right": "issue:895", + "accept": false, + "reason": "Speech-to-image and Imagic are different tasks: audio-conditioned generation vs text-based real-image editing." + }, + { + "left": "issue:871", + "right": "issue:872", + "accept": false, + "reason": "Speech-to-image and Wildcards are unrelated pipeline ideas with different functionality and code paths." + }, + { + "left": "issue:871", + "right": "issue:875", + "accept": false, + "reason": "Speech-to-image and Seed resize address different behaviors; one is modality conversion, the other seed handling." + }, + { + "left": "issue:871", + "right": "issue:876", + "accept": false, + "reason": "Speech-to-image and Composable Diffusion are separate community pipeline concepts, not the same underlying change." + }, + { + "left": "issue:871", + "right": "issue:877", + "accept": false, + "reason": "Speech-to-image and Checkpoint merging solve different problems and would not be merged into one PR." + }, + { + "left": "issue:872", + "right": "issue:875", + "accept": false, + "reason": "Wildcards and Seed resize are unrelated features; they do not describe the same bug or implementation." + }, + { + "left": "issue:872", + "right": "issue:876", + "accept": false, + "reason": "Wildcards and Composable Diffusion are different pipeline features with different intended code changes." + }, + { + "left": "issue:872", + "right": "issue:877", + "accept": false, + "reason": "Wildcards and Checkpoint merging are distinct changes; shared community-pipeline context is too broad." + }, + { + "left": "issue:872", + "right": "issue:878", + "accept": false, + "reason": "Wildcards and Modified Cross-Attention are different features and not the same concrete fix/change." + }, + { + "left": "issue:871", + "right": "issue:873", + "accept": false, + "reason": "Speech-to-image and SD v1-v4 compare are separate requests with different goals and implementation scope." + }, + { + "left": "issue:872", + "right": "issue:873", + "accept": false, + "reason": "Wildcards and SD v1-v4 compare are unrelated features; no shared bug or code path." + }, + { + "left": "issue:873", + "right": "issue:875", + "accept": false, + "reason": "SD v1-v4 compare and Seed resize are distinct pipeline features, not a single change." + }, + { + "left": "issue:873", + "right": "issue:876", + "accept": false, + "reason": "SD v1-v4 compare and Composable Diffusion are different requests with different behavior and code paths." + }, + { + "left": "issue:873", + "right": "issue:877", + "accept": false, + "reason": "SD v1-v4 compare and Checkpoint merging are unrelated changes beyond the broad Stable Diffusion context." + }, + { + "left": "issue:875", + "right": "issue:876", + "accept": false, + "reason": "Seed resize and Composable Diffusion address different functionality and should not be merged as duplicates." + }, + { + "left": "issue:875", + "right": "issue:877", + "accept": false, + "reason": "Seed resize and Checkpoint merging are separate pipeline concerns with no shared concrete bug." + }, + { + "left": "issue:875", + "right": "issue:878", + "accept": false, + "reason": "Seed resize and Modified Cross-Attention are different features and code paths." + }, + { + "left": "issue:876", + "right": "issue:878", + "accept": false, + "reason": "Composable Diffusion and Modified Cross-Attention are both compositional diffusion ideas, but they target different mechanisms and are not the same change." + }, + { + "left": "issue:876", + "right": "issue:895", + "accept": false, + "reason": "Composable Diffusion and Imagic are different community pipeline proposals with different goals." + }, + { + "left": "issue:1333", + "right": "issue:876", + "accept": false, + "reason": "RePaint + Stable Diffusion and Composable Diffusion are distinct pipelines; the overlap is only the shared Stable Diffusion umbrella." + }, + { + "left": "issue:876", + "right": "issue:877", + "accept": false, + "reason": "Composable Diffusion and Checkpoint merging are different changes, not one concrete code-path fix." + }, + { + "left": "issue:877", + "right": "issue:878", + "accept": false, + "reason": "Checkpoint merging and Modified Cross-Attention are unrelated features and should not be deduplicated." + }, + { + "left": "issue:872", + "right": "issue:895", + "accept": false, + "reason": "Wildcards and Imagic are unrelated community pipeline ideas." + }, + { + "left": "issue:873", + "right": "issue:895", + "accept": false, + "reason": "SD v1-v4 compare and Imagic solve different problems and use different implementations." + }, + { + "left": "issue:875", + "right": "issue:895", + "accept": false, + "reason": "Seed resize and Imagic are separate features with no shared underlying bug." + }, + { + "left": "issue:1333", + "right": "issue:878", + "accept": false, + "reason": "RePaint + Stable Diffusion and Modified Cross-Attention are different pipeline concepts and code paths." + }, + { + "left": "issue:1333", + "right": "issue:895", + "accept": false, + "reason": "RePaint + Stable Diffusion and Imagic are different tasks: inpainting/editing pipeline vs text-based real-image editing." + }, + { + "left": "issue:1333", + "right": "issue:871", + "accept": false, + "reason": "RePaint + Stable Diffusion and Speech-to-image are unrelated Community Pipeline requests." + }, + { + "left": "issue:1333", + "right": "issue:872", + "accept": false, + "reason": "RePaint + Stable Diffusion and Wildcards are different feature requests, not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 38, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13362-2", + "nodes": [ + "issue:13362", + "issue:13394" + ], + "soft_pairs": [ + "issue:13362|issue:13394" + ], + "prepared_review_unit_hash": "eb84a297700bf5a481e33c4db7293bb788de9efa71ea5557e6a0be56ab89829f", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1601, + "estimated_input_tokens": 401, + "estimated_eval_tokens": 1058 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1601, + "estimated_input_tokens": 401, + "estimated_eval_tokens": 1058 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are related at a high level (validation gaps in diffusion components) but they describe different bugs in different code paths: one is DDIMPipeline eta-range validation, the other is DDPMScheduler allowing num_inference_steps=0.", + "confidence": 0.93, + "canonical_issue_reason": "issue 13394 is the better representative for this cluster because it is open, concrete, and about a direct scheduler validation inconsistency; issue 13362 is a separate, already-closed DDIMPipeline constraint problem.", + "canonical_pr_reason": null, + "best_issue_reason": "issue 13394 is the strongest standalone issue to anchor on: it states a specific missing validation, names the affected scheduler, and describes the inconsistency clearly.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:13362", + "right": "issue:13394", + "accept": false, + "reason": "Not the same underlying bug: 13362 is about validating eta in DDIMPipeline, while 13394 is about num_inference_steps=0 in DDPMScheduler. Similar theme, different parameter and code path." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 39, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1364-4", + "nodes": [ + "issue:1364", + "issue:2280", + "issue:6853", + "issue:6854" + ], + "soft_pairs": [ + "issue:1364|issue:6853", + "issue:1364|issue:6854", + "issue:2280|issue:6853", + "issue:2280|issue:6854", + "issue:6853|issue:6854" + ], + "prepared_review_unit_hash": "2868716321c2538e17faa7393ff3adb96aea627c244f7ebaa651a0a4c32f9dca", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 5, + "serialized_chars": 4018, + "estimated_input_tokens": 1005, + "estimated_eval_tokens": 2266 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 5, + "serialized_chars": 4018, + "estimated_input_tokens": 1005, + "estimated_eval_tokens": 2266 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Most items are unrelated community questions. The only clear duplicate pair is 6853 and 6854, which share the same inpainting-training request, with 6854 \u044f\u0432\u043d\u043e pointing back to #6853.", + "confidence": 0.96, + "canonical_issue_reason": "Issue 6853 is the substantive report/request; 6854 appears to be a duplicate or follow-up that literally references #6853 in the title and has no body.", + "canonical_pr_reason": null, + "best_issue_reason": "6853 is the best representative of the only true duplicate cluster because it is the original, non-empty issue describing the inpainting training request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1364", + "right": "issue:6853", + "accept": false, + "reason": "A generic question about pre-training Stable Diffusion is not the same underlying request as replacing training for the inpainting model." + }, + { + "left": "issue:1364", + "right": "issue:6854", + "accept": false, + "reason": "Different topics: general pre-training code question vs a specific inpainting training replacement request." + }, + { + "left": "issue:2280", + "right": "issue:6853", + "accept": false, + "reason": "Converting Stable Diffusion to inpainting is a different task from replacing training for the inpainting model." + }, + { + "left": "issue:2280", + "right": "issue:6854", + "accept": false, + "reason": "Related to inpainting, but a conversion script request is not the same underlying change as training replacement." + }, + { + "left": "issue:6853", + "right": "issue:6854", + "accept": true, + "reason": "Same concrete request: both ask to replace training for the Stable Diffusion inpainting model, and 6854 explicitly references 6853 as the target." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The verdict is grounded in the packet: 6853 and 6854 have highly overlapping titles, and 6854 explicitly references #6853 while having no body. The other pairs are conservatively rejected as only soft-similar, with no evidence of the same underlying request." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 40, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-138-2", + "nodes": [ + "issue:138", + "issue:3349" + ], + "soft_pairs": [ + "issue:138|issue:3349" + ], + "prepared_review_unit_hash": "3be9f2b2192a1234d386785f2959f35cc74f87ec45d84fc1aa2166c2a9aee621", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1568, + "estimated_input_tokens": 392, + "estimated_eval_tokens": 1040 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1568, + "estimated_input_tokens": 392, + "estimated_eval_tokens": 1040 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are related to missing transformers, but they describe different problem classes: a concrete runtime ImportError versus missing installation documentation. I would not treat them as duplicates.", + "confidence": 0.86, + "canonical_issue_reason": "Issue #138 is the more concrete, bug-focused report: it describes the actual failure path and error message when the dependency is absent.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #138 is the best representative of the cluster because it captures the actionable runtime problem, whereas #3349 is primarily a documentation/install-instructions complaint.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:138", + "right": "issue:3349", + "accept": false, + "reason": "Reject: #138 is a runtime ImportError in a pipeline code path; #3349 is about missing dependency mention in install docs. Related, but not the same underlying bug/change and not something that would be merged as one fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 41, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1422-2", + "nodes": [ + "issue:1422", + "issue:5193" + ], + "soft_pairs": [ + "issue:1422|issue:5193" + ], + "prepared_review_unit_hash": "f08eff611b2683a6587594f1700103f28a9b8f94c54004ec91b69b6ecbc0b6a3", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1606, + "estimated_input_tokens": 402, + "estimated_eval_tokens": 1060 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1606, + "estimated_input_tokens": 402, + "estimated_eval_tokens": 1060 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are not duplicates: #1422 reports a broken/mosaic output when using CLIPGuidedStableDiffusion with stable-diffusion-2, while #5193 asks how to use a Chinese CLIP model. Different problem statements and likely different resolutions.", + "confidence": 0.96, + "canonical_issue_reason": "If a representative issue is needed, #1422 is the more concrete bug report; however it is not the same underlying problem as #5193.", + "canonical_pr_reason": null, + "best_issue_reason": "#1422 is the clearest standalone issue in this pair because it describes an explicit failure mode, but it should not be merged with #5193.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1422", + "right": "issue:5193", + "accept": false, + "reason": "Different topics: one is a bug about mosaic results on SD2, the other is a usage question about a Chinese CLIP model; not the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 42, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-410-2", + "nodes": [ + "issue:1443", + "issue:410" + ], + "soft_pairs": [ + "issue:1443|issue:410" + ], + "prepared_review_unit_hash": "26225fcab8149f8fb9f8459dc4378f265ecdec56745aabaf6a446e664710c916", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1551, + "estimated_input_tokens": 388, + "estimated_eval_tokens": 1032 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1551, + "estimated_input_tokens": 388, + "estimated_eval_tokens": 1032 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are not duplicates: one is a design request about moving prediction type onto the UNet, while the other reports a hard limitation on UNet internal block channel sizes. They touch different problems and would not be merged as the same underlying issue.", + "confidence": 0.95, + "canonical_issue_reason": "Issue #1443 is the clearer, more actionable representative of the cluster because it states a specific architectural change request and is more self-contained than #410.", + "canonical_pr_reason": null, + "best_issue_reason": "#1443 is the better canonical issue candidate if one must be chosen, since it has a narrower, more explicit scope and reads like a concrete product/design task.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1443", + "right": "issue:410", + "accept": false, + "reason": "The titles and implied problems are unrelated: prediction-type placement on UNet versus channel-size constraints in UNet blocks. They do not describe the same bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 43, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-146-2", + "nodes": [ + "issue:146", + "issue:2626" + ], + "soft_pairs": [ + "issue:146|issue:2626" + ], + "prepared_review_unit_hash": "f540ecc88f38052a27a13f9c4cd2d3fa2eddd2e927dce2f654bdee909ee65e9a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1507, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1507, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both artifacts are feature requests for training examples, but they target different pipelines: a superresolution training example versus a ControlNet training example. They are related in theme, not the same underlying request.", + "confidence": 0.71, + "canonical_issue_reason": "Issue 2626 is the more specific and clearly scoped request, making it a better canonical representative for the training-example feature request cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 2626 is the best single issue because it states the concrete desired example directly and is easier to map to a future implementation.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:146", + "right": "issue:2626", + "accept": false, + "reason": "Different target workflows and model types; they are both example requests, but not the same underlying feature/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 44, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1473-3", + "nodes": [ + "issue:1473", + "issue:4594", + "issue:5990" + ], + "soft_pairs": [ + "issue:1473|issue:4594", + "issue:4594|issue:5990" + ], + "prepared_review_unit_hash": "059e02839c5470a0e0f07d931b15386d47ddb2984165a22ecd55b4845dd78f4b", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2440, + "estimated_input_tokens": 610, + "estimated_eval_tokens": 1476 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2440, + "estimated_input_tokens": 610, + "estimated_eval_tokens": 1476 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three unrelated issue reports: one generic help request, one custom-pipeline gradient question, and one Stable Video Diffusion inpainting implementation problem. None appear to be duplicates of the same underlying bug.", + "confidence": 0.93, + "canonical_issue_reason": "Issue #5990 is the most concrete and actionable report, with a specific pipeline and implementation problem rather than a broad help request.", + "canonical_pr_reason": null, + "best_issue_reason": "#5990 is the best representative issue because it describes a specific technical problem in a named pipeline and is more likely to anchor related discussion than the generic or vague reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1473", + "right": "issue:4594", + "accept": false, + "reason": "#1473 is a generic request for code review/help, while #4594 is a specific custom pipeline gradient issue; they do not describe the same bug." + }, + { + "left": "issue:4594", + "right": "issue:5990", + "accept": false, + "reason": "Both involve pipeline-related troubleshooting, but one is about latents.requires_grad in a custom pipeline and the other about Stable Video Diffusion inpainting implementation issues; these are different problem reports." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 45, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1629-3", + "nodes": [ + "issue:1629", + "issue:1630", + "issue:1631" + ], + "soft_pairs": [ + "issue:1629|issue:1630", + "issue:1629|issue:1631", + "issue:1630|issue:1631" + ], + "prepared_review_unit_hash": "7791ecd730bbd336331f8404d7389134044169f0fe9c239c8d105b0b0ddeb902", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2811, + "estimated_input_tokens": 703, + "estimated_eval_tokens": 1662 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2811, + "estimated_input_tokens": 703, + "estimated_eval_tokens": 1662 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three issues concern flaky/non-deterministic test outputs, but they target different test suites and scenarios (AltDiffusion, common fast tests on MPS, and depth estimator in StableDiffusiondepth2img). They are related in theme, not the same underlying bug.", + "confidence": 0.87, + "canonical_issue_reason": "Issue #1630 is the broadest and most representative description of the cluster: it captures inconsistent outputs in common fast tests on MPS, which fits the shared reproducibility theme better than the two more specialized reports.", + "canonical_pr_reason": null, + "best_issue_reason": "#1630 is the best cluster representative because it is general, clearly states the symptom, and is not tied to one narrowly scoped pipeline test.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1629", + "right": "issue:1630", + "accept": false, + "reason": "Both are flaky-test reports, but one is AltDiffusion-specific and the other is a broader MPS inconsistency report; they do not describe the same concrete failure." + }, + { + "left": "issue:1629", + "right": "issue:1631", + "accept": false, + "reason": "These involve different pipelines and different test components, so they are not the same underlying bug." + }, + { + "left": "issue:1630", + "right": "issue:1631", + "accept": false, + "reason": "Shared nondeterminism theme only; the affected test paths and likely causes differ, so they should not be merged as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 46, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1684-2", + "nodes": [ + "issue:1684", + "issue:1696" + ], + "soft_pairs": [ + "issue:1684|issue:1696" + ], + "prepared_review_unit_hash": "6c4a6d6313db6a2d91539adb45b582f6f2654c8578ac26bdb4d8048f14e46cfd", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1578, + "estimated_input_tokens": 395, + "estimated_eval_tokens": 1046 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1578, + "estimated_input_tokens": 395, + "estimated_eval_tokens": 1046 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items report floating point exception crashes, but they describe different triggers: generic inference vs. changing the scheduler. The overlap is only in the symptom, not clearly the same underlying bug.", + "confidence": 0.84, + "canonical_issue_reason": "Issue #1684 is the broader report of the crash during inference, so it is the better umbrella issue if these need to be tracked together.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #1684 is the best representative because its title describes the more general inference-path failure, making it the most reusable anchor for related reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1684", + "right": "issue:1696", + "accept": false, + "reason": "Reject: both mention a floating point exception, but one is tied to inference generally and the other specifically to changing the scheduler. That suggests different code paths and possibly different bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 47, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1712-2", + "nodes": [ + "issue:1712", + "issue:5861" + ], + "soft_pairs": [ + "issue:1712|issue:5861" + ], + "prepared_review_unit_hash": "35a4cbed0489fc2822c4d4f9563805356c4599b4b12aa23fe75223cce31ade7c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1490, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1490, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are not duplicates: one is about GPU/CPU setup problems in certain modules, while the other is specifically about using ControlNet only with `UNet2DModel`.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Neither issue cleanly represents the other: #5861 is more specific and technically distinct, while #1712 is about a different class of setup/runtime problem. No single canonical issue for this cluster is appropriate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1712", + "right": "issue:5861", + "accept": false, + "reason": "Different underlying problems and code paths: GPU/CPU setup issues vs. ControlNet compatibility with `UNet2DModel`. Similarity is only superficial." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 48, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-329-3", + "nodes": [ + "issue:1748", + "issue:329", + "issue:4463" + ], + "soft_pairs": [ + "issue:1748|issue:329", + "issue:329|issue:4463" + ], + "prepared_review_unit_hash": "6825a888a1475d4309e5373fb73e11fd9478fc362adf17469c3e7c55083c6243", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2424, + "estimated_input_tokens": 606, + "estimated_eval_tokens": 1468 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2424, + "estimated_input_tokens": 606, + "estimated_eval_tokens": 1468 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These three issues are related only by broad Stable Diffusion support questions, but they ask for different capabilities: SD2 support, K-LMS inpainting/img2img support, and guide diffusion/unet_1d_condition support. They do not look like duplicates of the same underlying bug or feature request.", + "confidence": 0.78, + "canonical_issue_reason": "Issue 329 is the most concrete and implementation-specific request, while the others are broader or different support questions; it is the best representative if one issue must anchor the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 329 is the strongest standalone issue because it names a specific missing capability and pipeline context, making it the clearest actionable request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1748", + "right": "issue:329", + "accept": false, + "reason": "Both mention Stable Diffusion support, but one is a general SD v2 compatibility question and the other is a specific K-LMS inpainting/img2img feature request; different underlying changes." + }, + { + "left": "issue:329", + "right": "issue:4463", + "accept": false, + "reason": "These request different support areas and code paths: K-LMS for inpainting/img2img versus guide diffusion and unet_1d_condition support." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 49, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1760-2", + "nodes": [ + "issue:1760", + "issue:4981" + ], + "soft_pairs": [ + "issue:1760|issue:4981" + ], + "prepared_review_unit_hash": "30c52bef685c5c85f279d2a91f306c2594715191d9a92e79eb4d145e88853c77", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1674, + "estimated_input_tokens": 419, + "estimated_eval_tokens": 1094 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1674, + "estimated_input_tokens": 419, + "estimated_eval_tokens": 1094 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both issues concern ONNX Runtime running with the OpenVINO execution provider, but they describe different levels of specificity: one is a generic OpenVINO-EP subgraph runtime exception, while the other is a StableDiffusionPipeline failure using OpenVINO EP. I don\u2019t see enough evidence that they are the same concrete bug.", + "confidence": 0.74, + "canonical_issue_reason": "Issue 1760 is the more direct bug report: it names the concrete ONNXRuntime/OpenVINO-EP runtime exception and is less application-specific.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1760 is the best cluster representative because its title captures the underlying runtime failure more explicitly and broadly than the StableDiffusionPipeline-specific report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1760", + "right": "issue:4981", + "accept": false, + "reason": "Both mention OpenVINO EP with ONNX Runtime, but the evidence only shows a broad subsystem overlap. 4981 is tied to StableDiffusionPipeline and 1760 to a specific subgraph runtime exception, so I can\u2019t confirm the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 50, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1779-2", + "nodes": [ + "issue:1779", + "issue:2582" + ], + "soft_pairs": [ + "issue:1779|issue:2582" + ], + "prepared_review_unit_hash": "832746e07ef5b6b729236fccbdd0f4e18a6b5c96ba86f86383fa57f813839782", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1501, + "estimated_input_tokens": 376, + "estimated_eval_tokens": 1008 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1501, + "estimated_input_tokens": 376, + "estimated_eval_tokens": 1008 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two closed issues have the same title and no distinguishing scope signals, so they are best treated as duplicates; #1779 is the natural canonical issue because it was created first.", + "confidence": 0.95, + "canonical_issue_reason": "#1779 is the earlier-created issue, making it the best canonical representative for this duplicate report.", + "canonical_pr_reason": null, + "best_issue_reason": "#1779 is the strongest issue anchor because it has the same title as #2582 and was opened earlier.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1779", + "right": "issue:2582", + "accept": true, + "reason": "Identical titles and no evidence of distinct scope or targets; they appear to be duplicate reports of the same request." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The cluster decision is mostly grounded, but the reasoning overstates the evidence: both issues have the same discussion_activity, so saying #1779 has 'more discussion context' is not supported by the packet. If you keep the cluster, justify the canonical pick only by earlier creation time (or leave the canonical rationale neutral)." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 51, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1797-2", + "nodes": [ + "issue:1797", + "issue:6182" + ], + "soft_pairs": [ + "issue:1797|issue:6182" + ], + "prepared_review_unit_hash": "f0f2e0b92142ba1e2ca305245e8e9804b73569a54dca82ea9b07cc0df13217fb", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1484, + "estimated_input_tokens": 371, + "estimated_eval_tokens": 998 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1484, + "estimated_input_tokens": 371, + "estimated_eval_tokens": 998 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The pair is only weakly similar on metadata, with no body-content or path-level evidence to support a firm duplicate conclusion. If a canonical issue must be chosen, #6182 is the better metadata-based candidate, but the duplicate judgment should stay tentative.", + "confidence": 0.48, + "canonical_issue_reason": "#6182 is the stronger canonical candidate on metadata alone: it is newer, has more inbound references, and its title is broader/more descriptive.", + "canonical_pr_reason": null, + "best_issue_reason": "#6182 is the best issue to anchor future triage, but only tentatively, because the available evidence does not confirm the two reports describe the same bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1797", + "right": "issue:6182", + "accept": false, + "reason": "The only linkage is a low soft-similarity score (Jaccard 0.23) plus similar titles; there is no body-content evidence showing the same bug or code path, so this is too weak to accept as a duplicate." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The conclusion is too strong for the packet. We only have titles, dates, activity counts, and a soft-similarity edge (jaccard 0.23); there is no body-content evidence that both issues describe the same bug or the same code path. Saying they are 'likely duplicates of the same underlying problem' overstates the evidence. #6182 can be a better canonical candidate on metadata grounds, but the duplicate/merge judgment should remain tentative." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 52, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1837-4", + "nodes": [ + "issue:1837", + "issue:2628", + "issue:3599", + "issue:4575" + ], + "soft_pairs": [ + "issue:1837|issue:2628", + "issue:2628|issue:3599", + "issue:2628|issue:4575" + ], + "prepared_review_unit_hash": "03cc288fecf9b78cc47a59355d366aa7f9a510430ff90fba5eb39b425ea35237", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 3242, + "estimated_input_tokens": 811, + "estimated_eval_tokens": 1878 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 3242, + "estimated_input_tokens": 811, + "estimated_eval_tokens": 1878 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are four unrelated feature/enhancement issues that only loosely share a training/scheduler theme. They do not look like duplicates or the same underlying change.", + "confidence": 0.97, + "canonical_issue_reason": "No clear canonical issue: each ticket asks for a different feature in a different area (textual inversion logging, LR decay scheduling, DAAM, and scheduler self-recurrence).", + "canonical_pr_reason": null, + "best_issue_reason": "If one must be chosen, issue 2628 is the broadest/general enhancement request, but it is still not representative of the others as a duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1837", + "right": "issue:2628", + "accept": false, + "reason": "Different requested changes and code paths: image logging for textual inversion vs cosine-decay scheduling." + }, + { + "left": "issue:2628", + "right": "issue:3599", + "accept": false, + "reason": "Both are enhancements, but they target different functionality: scheduler decay vs DAAM attention visualization." + }, + { + "left": "issue:2628", + "right": "issue:4575", + "accept": false, + "reason": "Not the same change: cosine decay scheduling vs adding a self-recurrence trick to schedulers; too distinct to merge as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 53, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-853-2", + "nodes": [ + "issue:1877", + "issue:853" + ], + "soft_pairs": [ + "issue:1877|issue:853" + ], + "prepared_review_unit_hash": "de3a59027a9493f62b81810110bb22d636d5264689d4bb5086a14f610a5bb77a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1668, + "estimated_input_tokens": 417, + "estimated_eval_tokens": 1090 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1668, + "estimated_input_tokens": 417, + "estimated_eval_tokens": 1090 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are both about checkpoint/config conversion around LatentDiffusion, but they describe different problems: one is a model state_dict size-mismatch when loading a generated ckpt/yaml, the other asks whether ckpt conversion should change when training with 8GB VRAM settings. They are related topic-wise but not the same bug report.", + "confidence": 0.86, + "canonical_issue_reason": "Issue #1877 is the more concrete failure report: it includes the exact loading error and asks how to generate ckpt/yaml from a diffuser model. That makes it the better representative of the cluster\u2019s core problem surface.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #1877 is the best standalone issue because it has the clearest reproducible symptom and the most actionable description.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1877", + "right": "issue:853", + "accept": false, + "reason": "Both discuss ckpt conversion, but #1877 is a specific state_dict loading mismatch while #853 is a broader question about whether conversion should change for 8GB VRAM training settings. They do not look like the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 54, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-398-2", + "nodes": [ + "issue:1887", + "issue:398" + ], + "soft_pairs": [ + "issue:1887|issue:398" + ], + "prepared_review_unit_hash": "8fd643d9eb3a88bd57c22762f4532dbb5f7dbb56b66ea356ab72e05c39fa16ac", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1481, + "estimated_input_tokens": 371, + "estimated_eval_tokens": 998 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1481, + "estimated_input_tokens": 371, + "estimated_eval_tokens": 998 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items discuss sampler-related functionality, but they are not clearly the same underlying issue: one is a specific request about using DPM++ 2M Karras in Diffusers, while the other is a broad \"Sampler change\" ticket. I would not merge them as duplicates on the available evidence.", + "confidence": 0.62, + "canonical_issue_reason": "Issue 1887 is the more specific and descriptive sampler request, making it the better canonical issue for this cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1887 is the strongest representative because it states the concrete sampler variant and intended library, whereas issue 398 is too generic to anchor the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1887", + "right": "issue:398", + "accept": false, + "reason": "They are related to samplers, but the evidence does not show the same concrete bug or change request; 1887 is a specific Diffusers question, while 398 is a broad sampler-change issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 55, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1975-2", + "nodes": [ + "issue:1975", + "issue:4522" + ], + "soft_pairs": [ + "issue:1975|issue:4522" + ], + "prepared_review_unit_hash": "362a578ceceb158065e95ba3e711f60c2634d4ea9850ea9892c72d627384ab9d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1503, + "estimated_input_tokens": 376, + "estimated_eval_tokens": 1008 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1503, + "estimated_input_tokens": 376, + "estimated_eval_tokens": 1008 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related to inpainting, but they describe different problems: textual inversion support vs. using custom inpainting models in the ControlNet inpaint pipeline. Not a duplicate pair.", + "confidence": 0.88, + "canonical_issue_reason": "Issue 4522 is the more concrete and specific report, with a clearer target pipeline and model-loading problem.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4522 is the best representative because it names the exact pipeline and the practical failure mode more precisely than the broader feature request in 1975.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1975", + "right": "issue:4522", + "accept": false, + "reason": "They overlap on inpainting, but one is about textual inversion support and the other about custom inpainting models in StableDiffusionControlNetInpaintPipeline; different underlying changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 56, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2135-2", + "nodes": [ + "issue:2135", + "issue:2136" + ], + "soft_pairs": [ + "issue:2135|issue:2136" + ], + "prepared_review_unit_hash": "0c6c4b5cacb38033f7b2f34904ae01141a08a019f83bc9c8c5f99b03af7f46dd", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1554, + "estimated_input_tokens": 389, + "estimated_eval_tokens": 1034 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1554, + "estimated_input_tokens": 389, + "estimated_eval_tokens": 1034 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are related to Diffusers model support, but they describe different underlying requests: multilingual/AltDiffusion support vs. lifting the 77-token limit. They should not be treated as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": "No clear canonical duplicate; the issues target different problems and should remain separate.", + "canonical_pr_reason": null, + "best_issue_reason": "issue #2136 is the more concrete technical limitation and is better suited as a tracking issue for implementation work.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2135", + "right": "issue:2136", + "accept": false, + "reason": "Different underlying requests: one is out-of-the-box support for multilingual models, the other is removing the 77-token prompt length limit. They may intersect in downstream usage, but they are not the same bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 57, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2160-3", + "nodes": [ + "issue:2160", + "issue:3185", + "issue:3482" + ], + "soft_pairs": [ + "issue:2160|issue:3185", + "issue:2160|issue:3482", + "issue:3185|issue:3482" + ], + "prepared_review_unit_hash": "5e5f8beb263f98bdc30fa900383feabdf18b8b2fb4ca3bfa5b72fd608e0ede74", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2782, + "estimated_input_tokens": 696, + "estimated_eval_tokens": 1648 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2782, + "estimated_input_tokens": 696, + "estimated_eval_tokens": 1648 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are thematically related Stable Diffusion training/fine-tuning questions, but they do not describe the same underlying bug or change, so no duplicates are accepted.", + "confidence": 0.89, + "canonical_issue_reason": "Issue 3482 is the broadest and most representative of the shared super-resolution/fine-tuning theme, but the three issues are still distinct enough that there is no true canonical duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 3482 is the best single representative for the cluster because it is the most general Stable Diffusion super-resolution fine-tuning question and closest to the overall topic.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2160", + "right": "issue:3185", + "accept": false, + "reason": "2160 is about a LoRA fine-tuning error tied to vae.config.scaling_factor; 3185 is about training a Stable Diffusion upscale-4x model. Same broad domain, but not the same concrete bug or code path." + }, + { + "left": "issue:2160", + "right": "issue:3482", + "accept": false, + "reason": "2160 reports a specific LoRA/VAE scaling-factor error, while 3482 asks about fine-tuning a Stable Diffusion super-resolution model. Different problem statements and no evidence of the same underlying issue." + }, + { + "left": "issue:3185", + "right": "issue:3482", + "accept": false, + "reason": "Both mention super-resolution/upscaling, but 3185 is about training a particular upscale-4x model and 3482 is a general fine-tuning question. Related topic, not a duplicate bug/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 58, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2170-3", + "nodes": [ + "issue:2170", + "issue:2283", + "issue:4691" + ], + "soft_pairs": [ + "issue:2170|issue:4691", + "issue:2170|issue:2283", + "issue:2283|issue:4691" + ], + "prepared_review_unit_hash": "ea8e63e13247872bfd4862b3e02e6a703620748e7fcd212884c8b1498f700ef5", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2996, + "estimated_input_tokens": 749, + "estimated_eval_tokens": 1754 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2996, + "estimated_input_tokens": 749, + "estimated_eval_tokens": 1754 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three items are ONNX-conversion-related, but they describe different failures: opset-version support for stable-diffusion-2-1, a CLIPVisionConfig attribute error for stable-diffusion-v1-5, and unsupported aten::scaled_dot_product_attention export at opset 14. They look like related symptom reports, not duplicates.", + "confidence": 0.89, + "canonical_issue_reason": "Issue 4691 is the clearest concrete export failure and the most actionable representative of the cluster; it has a specific unsupported operator and explicit opset context.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4691 is the best global issue candidate because it states a precise ONNX export limitation with a concrete operator/opset mismatch, unlike the other two which are model-specific setup/config problems or broader opset questions.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2170", + "right": "issue:4691", + "accept": false, + "reason": "Different underlying problems: 2170 asks whether stable-diffusion-2-1 can export with opset 13, while 4691 reports aten::scaled_dot_product_attention failing at opset 14. Same area, not the same bug." + }, + { + "left": "issue:2170", + "right": "issue:2283", + "accept": false, + "reason": "2170 is about opset support during export; 2283 is a CLIPVisionConfig missing num_channels attribute. These are distinct failure modes." + }, + { + "left": "issue:2283", + "right": "issue:4691", + "accept": false, + "reason": "2283 is a configuration/attribute error in model conversion, while 4691 is an unsupported operator export error. They do not look like one underlying code-path issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 59, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2189-4", + "nodes": [ + "issue:2189", + "issue:2739", + "issue:3732", + "issue:4902" + ], + "soft_pairs": [ + "issue:2189|issue:4902", + "issue:2189|issue:2739", + "issue:2739|issue:3732" + ], + "prepared_review_unit_hash": "8960eaf198ba81582decc71895469b053d9649a46a516f452bb4e68a99907720", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 3258, + "estimated_input_tokens": 815, + "estimated_eval_tokens": 1886 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 3258, + "estimated_input_tokens": 815, + "estimated_eval_tokens": 1886 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Only one pair looks like the same underlying issue: both 2189 and 2739 ask whether multiple LoRA adapters/models can be loaded for inference. The other pairs are too broad or refer to safetensors loading in general, not the same LoRA-specific problem.", + "confidence": 0.88, + "canonical_issue_reason": "Issue 2189 is the clearest, most concrete statement of the LoRA multi-load inference problem; 2739 is essentially the same question in less specific wording.", + "canonical_pr_reason": null, + "best_issue_reason": "2189 is the best cluster representative because it names the exact behavior needed and is more actionable than the other issue titles.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2189", + "right": "issue:4902", + "accept": false, + "reason": "Both mention loading, but 4902 is about safetensors loading in general, not specifically loading multiple LoRA weights during inference." + }, + { + "left": "issue:2189", + "right": "issue:2739", + "accept": true, + "reason": "These are the same underlying question: loading multiple LoRA models/weights during inference." + }, + { + "left": "issue:2739", + "right": "issue:3732", + "accept": false, + "reason": "2739 is about multiple LoRA adapters, while 3732 is about using a local safetensors model for inference; different problem." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the only accepted soft-edge pair (2189 \u2194 2739) is conservative given the near-identical LoRA-loading wording in the titles. The rejected pairs are also reasonably cautious: 4902 is about safetensors loading generally, and 3732 is about local safetensors inference, so neither is clearly the same LoRA-multi-load issue. No overstatement is apparent." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 60, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2219-2", + "nodes": [ + "issue:2219", + "issue:5774" + ], + "soft_pairs": [ + "issue:2219|issue:5774" + ], + "prepared_review_unit_hash": "0f787ec6904183186a54ce3e341d95ab69c06db6f6b7f68de4d850fd5cc06a9f", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1536, + "estimated_input_tokens": 384, + "estimated_eval_tokens": 1024 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1536, + "estimated_input_tokens": 384, + "estimated_eval_tokens": 1024 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two related but not duplicate how-to questions about Stable Diffusion fine-tuning; they ask about different training scenarios (super-resolution vs custom captioned image dataset).", + "confidence": 0.83, + "canonical_issue_reason": "issue:5774 is the broader and more general fine-tuning question, so it is the better representative of the cluster if one issue must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5774 is the strongest single issue to keep because it is more general and better captures the common fine-tuning topic without being tied to the narrower super-resolution variant.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2219", + "right": "issue:5774", + "accept": false, + "reason": "Both are about fine-tuning Stable Diffusion, but they target different use cases and do not describe the same underlying bug or request; this is topical similarity, not duplication." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 61, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2255-2", + "nodes": [ + "issue:2255", + "issue:2256" + ], + "soft_pairs": [ + "issue:2255|issue:2256" + ], + "prepared_review_unit_hash": "528445be577b59a54c3ba2c776247f5a0d58ed579bb0f339d2ef63ed3702aabf", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1593, + "estimated_input_tokens": 399, + "estimated_eval_tokens": 1054 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1593, + "estimated_input_tokens": 399, + "estimated_eval_tokens": 1054 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Issues #2255 and #2256 are the same question with identical titles and very similar bodies, so they should be clustered as duplicates. #2255 is the better canonical issue because it has slightly more discussion activity.", + "confidence": 0.99, + "canonical_issue_reason": "#2255 and #2256 ask the exact same question; #2255 has more discussion activity, so it is the best canonical representative.", + "canonical_pr_reason": null, + "best_issue_reason": "#2255 is the stronger representative because it is the same issue as #2256 and has marginally more engagement.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2255", + "right": "issue:2256", + "accept": true, + "reason": "Identical title and highly similar content indicate the same underlying issue/question." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded in the packet: the titles are identical and the pair has strong soft similarity (jaccard 0.87). The canonical choice is also conservative, since #2255 has more discussion activity than #2256." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 62, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2270-2", + "nodes": [ + "issue:2270", + "issue:2353" + ], + "soft_pairs": [ + "issue:2270|issue:2353" + ], + "prepared_review_unit_hash": "095632f8a662b9f9223a5b0f5429020fb9132cfc2a2bb6f4b009846440c3b569", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1492, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1492, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are not duplicates: one asks about negative prompt support, while the other reports missing denoise support in a specific ONNX inpaint pipeline. They concern different features/code paths.", + "confidence": 0.91, + "canonical_issue_reason": "Issue #2353 is the more concrete, actionable bug report with a specific pipeline and missing capability.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #2353 best represents the cluster because it identifies a concrete implementation gap rather than a general usage question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2270", + "right": "issue:2353", + "accept": false, + "reason": "Different functionality: negative prompt support is a separate feature request from denoise support in OnnxStableDiffusionInpaintPipeline. No clear same-bug/same-change evidence." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 63, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2411-4", + "nodes": [ + "issue:2411", + "issue:2777", + "issue:4253", + "issue:6178" + ], + "soft_pairs": [ + "issue:2411|issue:4253", + "issue:2777|issue:4253", + "issue:2777|issue:6178" + ], + "prepared_review_unit_hash": "26050084cb04c3eab3d0a732acb3bc0a012e4e1aa0de4c8cc23e3a8869d400ce", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 3344, + "estimated_input_tokens": 836, + "estimated_eval_tokens": 1928 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 3344, + "estimated_input_tokens": 836, + "estimated_eval_tokens": 1928 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "No duplicate cluster here: the issues only share superficial Stable Diffusion/Dreambooth wording, but each asks about a different problem or feature.", + "confidence": 0.96, + "canonical_issue_reason": "No canonical issue: the items are not the same underlying bug/request, so none should represent a duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "No single best representative for deduplication; the topics split across performance, Dreambooth support, image-guided generation, and DDPM training.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2411", + "right": "issue:4253", + "accept": false, + "reason": "2411 is a performance complaint about slow image generation; 4253 asks about using an input image with a Dreambooth-fine-tuned model. Different underlying issues." + }, + { + "left": "issue:2777", + "right": "issue:4253", + "accept": false, + "reason": "2777 requests Dreambooth support for Alt Diffusion; 4253 asks about image-guided generation after Dreambooth fine-tuning. Related vocabulary, but not the same change or bug." + }, + { + "left": "issue:2777", + "right": "issue:6178", + "accept": false, + "reason": "2777 is a Dreambooth/Alt Diffusion feature request, while 6178 asks how to train Stable Diffusion with DDPM. Different training methods and goals." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 64, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2709-2", + "nodes": [ + "issue:2709", + "issue:3731" + ], + "soft_pairs": [ + "issue:2709|issue:3731" + ], + "prepared_review_unit_hash": "a9eb727f96862f5a6777c242f464c98ce4bf4b21bbed12590e6cabefe7430849", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1523, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1523, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are not duplicates: one is about saving PyTorch 2.0-compiled models, while the other is a missing-module import error for `models.unet_3d_condition`. They affect different code paths and have different failure modes.", + "confidence": 0.93, + "canonical_issue_reason": "Issue #2709 is the better canonical issue because it describes a broader, user-facing serialization failure that is more likely to represent the main cluster theme.", + "canonical_pr_reason": null, + "best_issue_reason": "#2709 is the strongest representative for this cluster since it is the more general bug report and not a narrow import-path symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2709", + "right": "issue:3731", + "accept": false, + "reason": "Different underlying problems: model saving/serialization for torch.compile in #2709 versus a missing module import in #3731. The titles and likely code paths do not indicate the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 65, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-271-2", + "nodes": [ + "issue:271", + "issue:277" + ], + "soft_pairs": [ + "issue:271|issue:277" + ], + "prepared_review_unit_hash": "8d5ece0a95f4e072595060956e56ec4d8a966c6ac10a8e773dcda47d2854f2e9", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1471, + "estimated_input_tokens": 368, + "estimated_eval_tokens": 992 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1471, + "estimated_input_tokens": 368, + "estimated_eval_tokens": 992 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are related thematically (samplers/schedulers), but they do not look like the same underlying request. #277 is a concrete feature request for additional samplers/schedulers, while #271 is a broader samplers/documentation topic.", + "confidence": 0.84, + "canonical_issue_reason": "#277 is the more specific and actionable issue: it asks for additional samplers/schedulers (e.g. Euler). #271 is broader and appears centered on documentation around samplers rather than the same concrete change.", + "canonical_pr_reason": null, + "best_issue_reason": "#277 is the best representative because it describes a clear, implementable feature request; #271 is too generic/broad to serve as the canonical issue for this cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:271", + "right": "issue:277", + "accept": false, + "reason": "They share the same general sampler theme, but one is documentation-focused and the other is a specific request for more samplers/schedulers. That is not enough to treat them as the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 66, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2750-3", + "nodes": [ + "issue:2750", + "issue:4679", + "issue:6429" + ], + "soft_pairs": [ + "issue:2750|issue:4679", + "issue:4679|issue:6429" + ], + "prepared_review_unit_hash": "4c6786db9cfee47668168d819217b3f05ddfcd391b0e904d91451013c91bf984", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2376, + "estimated_input_tokens": 594, + "estimated_eval_tokens": 1444 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2376, + "estimated_input_tokens": 594, + "estimated_eval_tokens": 1444 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is mostly about ControlNet-related feature requests, but it splits into two topics: a specific face-landmarks ControlNet enhancement, and a LoRA-with-ControlNet request. The LoRA issues look like duplicates of each other; the face-landmarks request is separate.", + "confidence": 0.82, + "canonical_issue_reason": "Issue 4679 is the best canonical issue because it is the most general and still-open request for ControlNet LoRA support, making it the most useful representative for the duplicated LoRA thread.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4679 best represents the cluster\u2019s duplicate pair because its title is broad, directly matches the LoRA-with-ControlNet theme, and it is still open.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2750", + "right": "issue:4679", + "accept": false, + "reason": "Both mention ControlNet, but 2750 is specifically about adding face-landmarks support, while 4679 is about ControlNet LoRA support. They are different requested features, not the same underlying change." + }, + { + "left": "issue:4679", + "right": "issue:6429", + "accept": true, + "reason": "These two issues describe the same underlying request: using or supporting LoRA with the ControlNet pipeline. The wording differs, but the feature target is the same." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The issue selection is grounded in the packet: 4679 is the broad, still-open ControlNet LoRA request, and 6429 is plausibly the same request phrased differently. The rejection of 2750 vs 4679 is appropriately conservative because it is a different ControlNet feature (face-landmarks). The summary stays within the evidence, noting only likely duplication for the LoRA issues and separating the face-landmarks request." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 67, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2820-2", + "nodes": [ + "issue:2820", + "issue:5140" + ], + "soft_pairs": [ + "issue:2820|issue:5140" + ], + "prepared_review_unit_hash": "7ccc1c9ef6f7b090dc3b1e8214aa006c7d3b2967a542129aa15aec117f072da0", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1511, + "estimated_input_tokens": 378, + "estimated_eval_tokens": 1012 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1511, + "estimated_input_tokens": 378, + "estimated_eval_tokens": 1012 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items discuss multi-ControlNet support, but they are not the same request: #2820 is a general img2img feature inquiry, while #5140 is specifically about BLIP-Diffusion lacking multi-ControlNet support.", + "confidence": 0.86, + "canonical_issue_reason": "#5140 is the more concrete and specific issue, making it the better representative of the topic.", + "canonical_pr_reason": null, + "best_issue_reason": "#5140 has a clearer problem statement and is more actionable than the generic question in #2820.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2820", + "right": "issue:5140", + "accept": false, + "reason": "Related theme, but not the same underlying bug/change: one is a broad img2img feature request, the other is a BLIP-Diffusion-specific limitation." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 68, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3307-2", + "nodes": [ + "issue:3307", + "issue:3356" + ], + "soft_pairs": [ + "issue:3307|issue:3356" + ], + "prepared_review_unit_hash": "8181f82388232db21d43e045a6b608bdc97144c7564b22cf1a29fab291209263", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1522, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1522, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are related DeepFloyd IF fine-tuning questions, but they ask about different things: one is a general fine-tuning question, the other is specifically about `predicted_variance` for textual inversion tuning. They are not duplicates.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 3356 is the broader, more representative question about fine-tuning DeepFloyd IF; issue 3307 is a narrower subtopic rather than the same issue.", + "canonical_pr_reason": null, + "best_issue_reason": "3356 is the best single issue to represent this cluster because it captures the general fine-tuning problem space more cleanly than the very specific `predicted_variance` question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3307", + "right": "issue:3356", + "accept": false, + "reason": "Related topic, but not the same underlying problem: 3307 asks about `predicted_variance` in textual inversion tuning, while 3356 asks generally how to fine-tune DeepFloyd IF." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 69, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3317-3", + "nodes": [ + "issue:3317", + "issue:3502", + "issue:4823" + ], + "soft_pairs": [ + "issue:3317|issue:3502", + "issue:3502|issue:4823" + ], + "prepared_review_unit_hash": "df83233b3d8c79a867846f64979d4ae7803d9a4f061d3fcd4a2327cc1d8c2578", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2451, + "estimated_input_tokens": 613, + "estimated_eval_tokens": 1482 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2451, + "estimated_input_tokens": 613, + "estimated_eval_tokens": 1482 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is only loosely related by vague pipeline/diffusion wording. The first two issues may be adjacent, but the available evidence does not show the same concrete bug; the third looks like a separate feature idea.", + "confidence": 0.61, + "canonical_issue_reason": "issue #3317 is the most concrete, bug-shaped report (scheduler not applying a denoising step). The other issues are broader/vaguer and do not clearly collapse into the same defect.", + "canonical_pr_reason": null, + "best_issue_reason": "#3317 is the best representative issue because it names a specific failing code path and is the most actionable of the three.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3317", + "right": "issue:3502", + "accept": false, + "reason": "Both mention pipelines, but the titles do not identify the same failure mode; #3317 is about a scheduler skipping denoising, while #3502 is a vague rules/pipeline complaint. Not enough evidence they are duplicates." + }, + { + "left": "issue:3502", + "right": "issue:4823", + "accept": false, + "reason": "#3502 sounds like a broken-pipeline complaint, while #4823 is framed as a feature/concept proposal for more flexible diffusers. These do not look like the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 70, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-369-2", + "nodes": [ + "issue:3352", + "issue:369" + ], + "soft_pairs": [ + "issue:3352|issue:369" + ], + "prepared_review_unit_hash": "326d9f3f71407986d830412b40885066204c0e6a84eeed2f49c2006c2e183c05", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1523, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1523, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both issues touch multi-token / multi-vector textual inversion, but the evidence is too thin to treat them as the same request with confidence. #369 is the clearer feature request; #3352 reads more like a usage/help question.", + "confidence": 0.64, + "canonical_issue_reason": "#369 is the broader, more direct feature request about representing a learned concept with more than one token.", + "canonical_pr_reason": null, + "best_issue_reason": "#369 is the best representative because it states the underlying enhancement clearly, whereas #3352 is framed as how to apply the technique.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3352", + "right": "issue:369", + "accept": false, + "reason": "The topics are related, but the packet does not firmly show the same underlying issue: #3352 is a how-to/support question and #369 is a feature request. I would treat this as a plausible relation, not a confirmed duplicate." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The relationship is plausible from the titles, but the soft-edge verdict is a bit too strong given the limited evidence in the packet. #3352 reads as a how-to/support question, while #369 is a feature request; treating them as the same underlying request is not fully grounded and should be stated more cautiously." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 71, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3423-2", + "nodes": [ + "issue:3423", + "issue:4490" + ], + "soft_pairs": [ + "issue:3423|issue:4490" + ], + "prepared_review_unit_hash": "c3b8b8c08517efb1880d593081bb730b7c444510f4ec579d0d4483d6017bfffa", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1523, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1523, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two closed issues do not look like duplicates: one describes a launch hang when creating a model, while the other is a checkpoint-to-\u0926iffusers conversion error involving text_config_dict. They share only a broad model-related theme.", + "confidence": 0.93, + "canonical_issue_reason": "No canonical issue: the reports describe different failure modes and code paths, so neither clearly represents the other.", + "canonical_pr_reason": null, + "best_issue_reason": "Neither issue is a good global representative for the cluster because they are not the same underlying bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3423", + "right": "issue:4490", + "accept": false, + "reason": "Different symptoms and likely different subsystems: a startup/launch stall versus a conversion-time config error. The overlap is only broad model tooling." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 72, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3538-2", + "nodes": [ + "issue:3538", + "issue:5756" + ], + "soft_pairs": [ + "issue:3538|issue:5756" + ], + "prepared_review_unit_hash": "757fc8c96c8f684fac6dfe4030071c2f88993f96da6c8ae9f63c4a718bea34eb", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1539, + "estimated_input_tokens": 385, + "estimated_eval_tokens": 1026 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1539, + "estimated_input_tokens": 385, + "estimated_eval_tokens": 1026 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are both about LoRA-related workflows, but they ask different questions: one about finetuning ControlNet when merging SD models with different LoRAs, and the other about generating an LCM LoRA from an existing model. They do not look like duplicates of the same underlying bug or request.", + "confidence": 0.9, + "canonical_issue_reason": "Issue #5756 is the more substantive and discussion-heavy support question, but the cluster is not truly duplicate-worthy because the topics differ.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #5756 is the best representative of the cluster only by activity and specificity; it is the clearest standalone issue here.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3538", + "right": "issue:5756", + "accept": false, + "reason": "Different requests and different workflows: merging SD/ControlNet with LoRAs vs creating an LCM LoRA. They share the LoRA keyword, but not the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 73, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3544-2", + "nodes": [ + "issue:3544", + "issue:4785" + ], + "soft_pairs": [ + "issue:3544|issue:4785" + ], + "prepared_review_unit_hash": "f6523f1b9f63f061cf8d7866b03727978c5a8f9303a1310f27c8477f16711ba6", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1504, + "estimated_input_tokens": 376, + "estimated_eval_tokens": 1008 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1504, + "estimated_input_tokens": 376, + "estimated_eval_tokens": 1008 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are not duplicates: #3544 asks a conceptual question about whether latents should be scaled by the scheduler, while #4785 is a separate typo report in the Euler discrete scheduler. They mention the same general area, but not the same underlying bug or change.", + "confidence": 0.93, + "canonical_issue_reason": "#3544 is the more substantive and general scheduler-related issue; #4785 is a narrow typo report and does not appear to share the same problem statement.", + "canonical_pr_reason": null, + "best_issue_reason": "#3544 is the best representative of the cluster because it covers the broader technical question, whereas #4785 is unrelated beyond the scheduler context.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3544", + "right": "issue:4785", + "accept": false, + "reason": "Different topics: one is about latent scaling semantics, the other is a typo in a specific scheduler implementation. Shared subsystem alone is not enough to mark them duplicate." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 74, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-358-2", + "nodes": [ + "issue:358", + "issue:363" + ], + "soft_pairs": [ + "issue:358|issue:363" + ], + "prepared_review_unit_hash": "f8aad0a933d1eedc88261e1fcb6ea662af3ef0ae1a44ba65ce78ce6ce0d34047", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1520, + "estimated_input_tokens": 380, + "estimated_eval_tokens": 1016 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1520, + "estimated_input_tokens": 380, + "estimated_eval_tokens": 1016 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues both mention Apple MPS, but they describe different failure modes: one is a concrete error in `unet_2d_condition.py`, while the other says prompt arrays fail to generate images at all. I do not think they are the same underlying bug.", + "confidence": 0.82, + "canonical_issue_reason": "Issue #358 is the more concrete report: it names the specific failing file (`unet_2d_condition.py`) and describes an explicit MPS error, making it the better anchor for this cluster if a single issue must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #358 is the best issue candidate because it is more specific and actionable than #363, which is broader and symptom-level.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:358", + "right": "issue:363", + "accept": false, + "reason": "Reject: both mention Apple MPS, but one is a file-specific runtime error and the other is a prompt-array generation failure; the symptoms and likely code paths are not clearly the same." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 75, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3684-2", + "nodes": [ + "issue:3684", + "issue:4150" + ], + "soft_pairs": [ + "issue:3684|issue:4150" + ], + "prepared_review_unit_hash": "8a05264a4aaaefe33883aca23ffdaa951103378a4bcc98762e59e2a4f82f27e5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1480, + "estimated_input_tokens": 370, + "estimated_eval_tokens": 996 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1480, + "estimated_input_tokens": 370, + "estimated_eval_tokens": 996 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related only at a very high level (both ask about model training), but they describe different tasks: img2img fine-tuning vs. training a text-to-image model based on SDXL. They do not look like duplicates of the same underlying issue.", + "confidence": 0.93, + "canonical_issue_reason": "Issue #4150 is the more specific and actionable training question (SDXL text-to-image), so it is the better representative issue if one must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "#4150 is the best issue candidate because it names the concrete model family and training setup, making it easier to anchor discussion than the broader img2img fine-tuning question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3684", + "right": "issue:4150", + "accept": false, + "reason": "Different training goals and model types: one asks about img2img fine-tuning, the other about training a text-to-image SDXL model. Shared theme is too broad to treat as the same issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 76, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-380-2", + "nodes": [ + "issue:380", + "issue:465" + ], + "soft_pairs": [ + "issue:380|issue:465" + ], + "prepared_review_unit_hash": "a9c935f3a0984d6fa2e20a8e83adf1ff0e0268dc47e175e6f9993b7603102886", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1490, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1490, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are related to the scheduler, but they point at different problems: one is about unused `init` parameters, the other about inconsistent `offset` handling. They do not look like the same underlying bug.", + "confidence": 0.89, + "canonical_issue_reason": "Issue #465 is the more concrete bug report: it names a specific scheduler behavior discrepancy (`offset` usage) rather than a generic cleanup concern.", + "canonical_pr_reason": null, + "best_issue_reason": "#465 is the best anchor for the cluster because it describes the actionable functional issue and has more inbound references.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:380", + "right": "issue:465", + "accept": false, + "reason": "Different problem statements: unused `init` parameters vs `offset` usage discrepancy. No shared filenames/targets, and the similarity is too weak to treat as the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 77, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-405-2", + "nodes": [ + "issue:3827", + "issue:405" + ], + "soft_pairs": [ + "issue:3827|issue:405" + ], + "prepared_review_unit_hash": "cf4e86ec096a68dd4a232a1f0f44c5e91e02e2e35dc97959ca9ced1fe790501f", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1532, + "estimated_input_tokens": 383, + "estimated_eval_tokens": 1022 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1532, + "estimated_input_tokens": 383, + "estimated_eval_tokens": 1022 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues look possibly related at the title level, but the packet does not provide enough evidence to treat them as the same underlying bug. The match is weak: no shared targets, filenames, or body-level details tie them to one concrete root cause.", + "confidence": 0.61, + "canonical_issue_reason": "Issue 405 is still the better canonical issue because it is the broader, earlier report and uses more generic wording that can absorb related tokenizer-error reports, but it should be treated cautiously rather than as a confirmed duplicate target.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 405 is the best issue representative for clustering because its wording is more general and likely to match related reports, while 3827 appears more specific to one usage scenario.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3827", + "right": "issue:405", + "accept": false, + "reason": "Reject as a duplicate edge: the evidence is limited to modest title similarity and a soft similarity signal. There are no shared targets, filenames, or body details showing the same root cause, so they should only be considered possibly related." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The merge/duplication claim is too strong for the packet evidence. We only have title-level similarity and a modest Jaccard score, with no shared targets, filenames, or body evidence showing the same root cause. The summary and soft-edge verdict should stay more conservative (e.g., 'possibly related' rather than 'same underlying bug')." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 78, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3988-2", + "nodes": [ + "issue:3988", + "issue:5503" + ], + "soft_pairs": [ + "issue:3988|issue:5503" + ], + "prepared_review_unit_hash": "18656b2a62f44c66b725b072fb27c39dc634ca29b278e84b0a745c760a076fc2", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1549, + "estimated_input_tokens": 388, + "estimated_eval_tokens": 1032 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1549, + "estimated_input_tokens": 388, + "estimated_eval_tokens": 1032 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are both about ControlNet, but they describe different user problems: one asks how to use part of a ControlNet model with an inpaint pipeline, while the other is specifically about ControlNet Scribble with SDXL. They do not look like the same underlying bug or change.", + "confidence": 0.87, + "canonical_issue_reason": "No clear duplicate cluster among the issues; if one must be treated as the representative issue, #5503 is the more concrete, product-specific report.", + "canonical_pr_reason": null, + "best_issue_reason": "#5503 is the better representative issue because it is a more specific, actionable problem statement tied to a particular ControlNet/SDXL configuration.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3988", + "right": "issue:5503", + "accept": false, + "reason": "Different use cases and failure modes: one is a general question about partial ControlNet usage with an inpaint pipeline, the other is a specific SDXL Scribble ControlNet issue. Similar subsystem, but not the same underlying problem." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 79, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4017-2", + "nodes": [ + "issue:4017", + "issue:7231" + ], + "soft_pairs": [ + "issue:4017|issue:7231" + ], + "prepared_review_unit_hash": "ca7d70cfe321a136b1b279ffb9e6675618590c8516662446b039a8a0d4d8b4f4", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1490, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1490, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues look related around blockwise/block-based LoRA weighting, but the evidence is limited to title similarity. There is not enough body-level detail to confirm they are duplicates, so the soft link should be treated as a likely relation rather than a merge-worthy match.", + "confidence": 0.64, + "canonical_issue_reason": "Issue 7231 is the clearest and most specific wording of the apparent request, so it is the better representative if these are grouped together.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 7231 is the best issue representative because it is more explicit and readable, but the similarity alone is not enough to call it a confirmed duplicate of 4017.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4017", + "right": "issue:7231", + "accept": false, + "reason": "The titles are broadly similar, but there is no supporting body evidence, explicit linkage, or shared target/file evidence to confirm the same underlying request. They appear related, not proven duplicates." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The linkage is plausible from the titles, but the packet only provides soft similarity and no body-level evidence. The analyst states the issues are the same request too definitively; a more conservative verdict would be that they appear related, not confirmed duplicates." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 80, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4161-2", + "nodes": [ + "issue:4161", + "issue:4162" + ], + "soft_pairs": [ + "issue:4161|issue:4162" + ], + "prepared_review_unit_hash": "d32dca72efad0e732d0b7e9522b388dbdc6b0adc08c167684c8f407bef1b7fa3", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1476, + "estimated_input_tokens": 369, + "estimated_eval_tokens": 994 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1476, + "estimated_input_tokens": 369, + "estimated_eval_tokens": 994 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two different issue reports in SD.Next, not duplicates: one about Kandinsky Prior and one about Img2Img.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue: the reports describe different problems and different code paths.", + "canonical_pr_reason": null, + "best_issue_reason": "4161 is the more specific report, but it is not a duplicate target for 4162.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4161", + "right": "issue:4162", + "accept": false, + "reason": "The titles point to unrelated failures in different features (Kandinsky Prior vs Img2Img), so they do not appear to be the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 81, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4367-2", + "nodes": [ + "issue:4367", + "issue:6863" + ], + "soft_pairs": [ + "issue:4367|issue:6863" + ], + "prepared_review_unit_hash": "b8f883838666efc1bd24ea428e65c8f1a206dd118f30ba5bbc220dbb7fd074e0", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1512, + "estimated_input_tokens": 378, + "estimated_eval_tokens": 1012 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1512, + "estimated_input_tokens": 378, + "estimated_eval_tokens": 1012 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both issues request the same missing AutoPipeline `from_single_file()` support, phrased as a feature gap in the same API surface. They are likely duplicates, with 6863 being the clearer, later report.", + "confidence": 0.91, + "canonical_issue_reason": "issue:6863 is the more direct and specific report (\u201cfrom_single_file missing in AutoPipeline API\u201d), making it the best representative of the underlying request.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6863 best captures the concrete API gap in current wording and is the clearest canonical issue for deduping.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4367", + "right": "issue:6863", + "accept": true, + "reason": "Same underlying request: AutoPipeline should support `from_single_file()`. The titles differ only in wording, not in substance." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both issues describe the same AutoPipeline `from_single_file()` gap, and the duplicate/representative call is conservative. No evidence is overstated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 82, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4601-2", + "nodes": [ + "issue:4601", + "issue:4602" + ], + "soft_pairs": [ + "issue:4601|issue:4602" + ], + "prepared_review_unit_hash": "16761e15c47f064def76d90ab3fe932d9c1ae4f16164af494c6f0d02658fcf83", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1488, + "estimated_input_tokens": 372, + "estimated_eval_tokens": 1000 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1488, + "estimated_input_tokens": 372, + "estimated_eval_tokens": 1000 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related ControlNet SDXL checkpoint requests, but they ask for different model variants and do not appear to be duplicates.", + "confidence": 0.95, + "canonical_issue_reason": "Issue 4602 is the more general request about SDXL refiner+base support, so it is the better representative if one must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "Neither issue is a strong duplicate target; 4602 is slightly broader and more central, while 4601 is a specific NormalBae/Tile/MLSD checkpoint request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4601", + "right": "issue:4602", + "accept": false, + "reason": "They request different ControlNet SDXL checkpoint variants (NormalBae/Tile/MLSD vs refiner+base), so they are not the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 83, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4658-2", + "nodes": [ + "issue:4658", + "issue:6763" + ], + "soft_pairs": [ + "issue:4658|issue:6763" + ], + "prepared_review_unit_hash": "f9538dde15a1875ec808c6c08a20042e26de496f5deec9b1f73335b4be8a34b9", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1508, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1508, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are not duplicates: one asks whether AudioLDM should use a separate UNet class, while the other reports that `timestep` should be forced to a tensor in UNet. They concern different code paths and different kinds of changes.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue: the issues are about unrelated problems (pipeline/class design vs UNet input typing).", + "canonical_pr_reason": null, + "best_issue_reason": "Neither issue is a good cluster anchor because they do not describe the same underlying bug or change.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4658", + "right": "issue:6763", + "accept": false, + "reason": "Different subjects and remedies: AudioLDM pipeline class separation vs forcing `timestep` to tensor in UNet; no shared concrete bug/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 84, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4732-2", + "nodes": [ + "issue:4732", + "issue:4970" + ], + "soft_pairs": [ + "issue:4732|issue:4970" + ], + "prepared_review_unit_hash": "c1e58fa4e1b872dbd75e8a172ddba4dee7619a36c2b11354f4dbc8862a2b4cd9", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1494, + "estimated_input_tokens": 374, + "estimated_eval_tokens": 1004 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1494, + "estimated_input_tokens": 374, + "estimated_eval_tokens": 1004 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are about different topics and do not look like duplicates: one is about prompt precedence in sd-webui-controlnet/diffusers, the other is about tile_colorfix in diffusers.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4732 is the more general and clearly stated user-facing problem, but it is not a canonical duplicate of 4970 because the underlying bugs differ.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4732", + "right": "issue:4970", + "accept": false, + "reason": "The titles describe unrelated behaviors: prompt importance/controlnet precedence versus tile_colorfix. No shared code path or concrete duplicate signal is present." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 85, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4900-2", + "nodes": [ + "issue:4900", + "issue:5691" + ], + "soft_pairs": [ + "issue:4900|issue:5691" + ], + "prepared_review_unit_hash": "4040c8309fa719d6c02482785a17707bc6964802fdf75521f605aaaa82814cdb", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1506, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1506, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are closed issues about inpaint behavior/settings, but they appear to cover different user questions: one about choosing a starting point, the other about explaining inpaint modes (fill/original/latent options). They are related, but not clearly duplicates of the same underlying bug or request.", + "confidence": 0.76, + "canonical_issue_reason": "Issue #5691 is the broader, more descriptive inpaint-mode issue and is the better canonical reference for this cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "#5691 is the best representative because it explicitly covers the inpaint mode options and is broader than the narrower starting-point request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4900", + "right": "issue:5691", + "accept": false, + "reason": "Related inpaint topics, but the titles suggest different requests: selecting a starting point vs understanding/changing inpaint mode variants. Not enough evidence they are the same bug/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 86, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5141-2", + "nodes": [ + "issue:5141", + "issue:5566" + ], + "soft_pairs": [ + "issue:5141|issue:5566" + ], + "prepared_review_unit_hash": "d51ff64c2fb533033f3406e564bf0830fb089f5de265d9fca372b3b945bfd471", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1495, + "estimated_input_tokens": 374, + "estimated_eval_tokens": 1004 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1495, + "estimated_input_tokens": 374, + "estimated_eval_tokens": 1004 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are not duplicates: one asks for configuring how many checkpoints to save, while the other asks to save multiple models into a single file. They touch related storage behavior but different user goals and likely different implementations.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 5566 is the more concrete representative of the storage/serialization theme, but it should not be treated as a duplicate of 5141.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5141", + "right": "issue:5566", + "accept": false, + "reason": "Different requests: checkpoint retention count vs packing multiple models into one file. Related area, but not the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 87, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5228-13", + "nodes": [ + "issue:5228", + "issue:5229", + "issue:5230", + "issue:5231", + "issue:5241", + "issue:5252", + "issue:5257", + "issue:5260", + "issue:5262", + "issue:5263", + "issue:5264", + "issue:5302", + "issue:5548" + ], + "soft_pairs": [ + "issue:5228|issue:5229", + "issue:5228|issue:5230", + "issue:5228|issue:5231", + "issue:5228|issue:5241", + "issue:5228|issue:5302", + "issue:5229|issue:5230", + "issue:5229|issue:5231", + "issue:5229|issue:5241", + "issue:5229|issue:5302", + "issue:5230|issue:5231", + "issue:5230|issue:5241", + "issue:5230|issue:5302", + "issue:5231|issue:5241", + "issue:5231|issue:5302", + "issue:5241|issue:5302", + "issue:5252|issue:5548", + "issue:5228|issue:5257", + "issue:5229|issue:5257", + "issue:5230|issue:5257", + "issue:5231|issue:5257", + "issue:5241|issue:5257", + "issue:5260|issue:5262", + "issue:5260|issue:5263", + "issue:5260|issue:5264", + "issue:5228|issue:5260", + "issue:5229|issue:5260", + "issue:5262|issue:5263", + "issue:5262|issue:5264", + "issue:5228|issue:5262", + "issue:5229|issue:5262", + "issue:5263|issue:5264", + "issue:5228|issue:5263", + "issue:5229|issue:5263", + "issue:5228|issue:5264", + "issue:5229|issue:5264", + "issue:5228|issue:5548", + "issue:5229|issue:5548", + "issue:5230|issue:5548", + "issue:5231|issue:5548" + ], + "prepared_review_unit_hash": "c26f49091c2e99c7959774545c7ed1b1ab5f7e0eedf4818975255bb3cea1bba2", + "component_budget": { + "node_count": 13, + "item_count": 13, + "soft_pair_count": 39, + "serialized_chars": 20752, + "estimated_input_tokens": 5188, + "estimated_eval_tokens": 10632 + }, + "budget": { + "node_count": 13, + "item_count": 13, + "soft_pair_count": 39, + "serialized_chars": 20752, + "estimated_input_tokens": 5188, + "estimated_eval_tokens": 10632 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are mostly separate HacktoberFest issues with similar wording but different concrete targets (different models, functions, pipelines, or language translations). I would not collapse any of the soft pairs as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 5228 is the broadest representative of the 'Missing Docstrings' task set, but it is still a distinct issue rather than a duplicate of the others.", + "canonical_pr_reason": null, + "best_issue_reason": "5228 is the best single issue to anchor the cluster because it is a clear, central docstring task and the most general among the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5228", + "right": "issue:5229", + "accept": false, + "reason": "Different targets: UNet2DConditionModel vs Autoencoder encode." + }, + { + "left": "issue:5228", + "right": "issue:5230", + "accept": false, + "reason": "Different targets: UNet2DConditionModel vs Autoencoder decode." + }, + { + "left": "issue:5228", + "right": "issue:5231", + "accept": false, + "reason": "Different targets: UNet2DConditionModel vs Adapters." + }, + { + "left": "issue:5228", + "right": "issue:5241", + "accept": false, + "reason": "Different targets: UNet2DConditionModel vs W\u00fcrstchen." + }, + { + "left": "issue:5228", + "right": "issue:5302", + "accept": false, + "reason": "Different tasks: missing docstrings for a model vs DeepFloyd IF docstrings." + }, + { + "left": "issue:5229", + "right": "issue:5230", + "accept": false, + "reason": "Related autoencoder methods, but encode and decode are distinct functions and not the same underlying task." + }, + { + "left": "issue:5229", + "right": "issue:5231", + "accept": false, + "reason": "Different targets: Autoencoder encode vs Adapters." + }, + { + "left": "issue:5229", + "right": "issue:5241", + "accept": false, + "reason": "Different targets: Autoencoder encode vs W\u00fcrstchen." + }, + { + "left": "issue:5229", + "right": "issue:5302", + "accept": false, + "reason": "Different tasks: Autoencoder encode docstrings vs DeepFloyd IF docstrings." + }, + { + "left": "issue:5230", + "right": "issue:5231", + "accept": false, + "reason": "Different targets: Autoencoder decode vs Adapters." + }, + { + "left": "issue:5230", + "right": "issue:5241", + "accept": false, + "reason": "Different targets: Autoencoder decode vs W\u00fcrstchen." + }, + { + "left": "issue:5230", + "right": "issue:5302", + "accept": false, + "reason": "Different tasks: Autoencoder decode docstrings vs DeepFloyd IF docstrings." + }, + { + "left": "issue:5231", + "right": "issue:5241", + "accept": false, + "reason": "Different targets: Adapters vs W\u00fcrstchen." + }, + { + "left": "issue:5231", + "right": "issue:5302", + "accept": false, + "reason": "Different tasks: Adapters docstrings vs DeepFloyd IF docstrings." + }, + { + "left": "issue:5241", + "right": "issue:5302", + "accept": false, + "reason": "Different targets: W\u00fcrstchen vs DeepFloyd IF docstrings." + }, + { + "left": "issue:5252", + "right": "issue:5548", + "accept": false, + "reason": "Same broad documentation area, but different languages (Thai vs Portuguese) and separate translation work." + }, + { + "left": "issue:5228", + "right": "issue:5257", + "accept": false, + "reason": "One is docstrings for a model; the other is removal of outdated schedulers." + }, + { + "left": "issue:5229", + "right": "issue:5257", + "accept": false, + "reason": "One is docstrings for an autoencoder method; the other is removal of outdated schedulers." + }, + { + "left": "issue:5230", + "right": "issue:5257", + "accept": false, + "reason": "One is docstrings for an autoencoder method; the other is removal of outdated schedulers." + }, + { + "left": "issue:5231", + "right": "issue:5257", + "accept": false, + "reason": "One is docstrings for adapters; the other is removal of outdated schedulers." + }, + { + "left": "issue:5241", + "right": "issue:5257", + "accept": false, + "reason": "One is docstrings for W\u00fcrstchen; the other is removal of outdated schedulers." + }, + { + "left": "issue:5260", + "right": "issue:5262", + "accept": false, + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionXLPipeline vs StableDiffusionPipeline." + }, + { + "left": "issue:5260", + "right": "issue:5263", + "accept": false, + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionXLPipeline vs StableDiffusionControlNetPipeline." + }, + { + "left": "issue:5260", + "right": "issue:5264", + "accept": false, + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionXLPipeline vs StableDiffusionControlNetImg2ImgPipeline." + }, + { + "left": "issue:5228", + "right": "issue:5260", + "accept": false, + "reason": "Different tasks: docstrings for UNet2DConditionModel vs shrinking a fast test for StableDiffusionXLPipeline." + }, + { + "left": "issue:5229", + "right": "issue:5260", + "accept": false, + "reason": "Different tasks: autoencoder encode docstrings vs shrinking a fast test for StableDiffusionXLPipeline." + }, + { + "left": "issue:5262", + "right": "issue:5263", + "accept": false, + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionPipeline vs StableDiffusionControlNetPipeline." + }, + { + "left": "issue:5262", + "right": "issue:5264", + "accept": false, + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionPipeline vs StableDiffusionControlNetImg2ImgPipeline." + }, + { + "left": "issue:5228", + "right": "issue:5262", + "accept": false, + "reason": "Different tasks: docstrings for UNet2DConditionModel vs shrinking a fast test for StableDiffusionPipeline." + }, + { + "left": "issue:5229", + "right": "issue:5262", + "accept": false, + "reason": "Different tasks: autoencoder encode docstrings vs shrinking a fast test for StableDiffusionPipeline." + }, + { + "left": "issue:5263", + "right": "issue:5264", + "accept": false, + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionControlNetPipeline vs StableDiffusionControlNetImg2ImgPipeline." + }, + { + "left": "issue:5228", + "right": "issue:5263", + "accept": false, + "reason": "Different tasks: docstrings for UNet2DConditionModel vs shrinking a fast test for StableDiffusionControlNetPipeline." + }, + { + "left": "issue:5229", + "right": "issue:5263", + "accept": false, + "reason": "Different tasks: autoencoder encode docstrings vs shrinking a fast test for StableDiffusionControlNetPipeline." + }, + { + "left": "issue:5228", + "right": "issue:5264", + "accept": false, + "reason": "Different tasks: docstrings for UNet2DConditionModel vs shrinking a fast test for StableDiffusionControlNetImg2ImgPipeline." + }, + { + "left": "issue:5229", + "right": "issue:5264", + "accept": false, + "reason": "Different tasks: autoencoder encode docstrings vs shrinking a fast test for StableDiffusionControlNetImg2ImgPipeline." + }, + { + "left": "issue:5228", + "right": "issue:5548", + "accept": false, + "reason": "Different documentation tasks: missing docstrings vs Portuguese translation work." + }, + { + "left": "issue:5229", + "right": "issue:5548", + "accept": false, + "reason": "Different documentation tasks: autoencoder encode docstrings vs Portuguese translation work." + }, + { + "left": "issue:5230", + "right": "issue:5548", + "accept": false, + "reason": "Different documentation tasks: autoencoder decode docstrings vs Portuguese translation work." + }, + { + "left": "issue:5231", + "right": "issue:5548", + "accept": false, + "reason": "Different documentation tasks: adapters docstrings vs Portuguese translation work." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 88, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5311-2", + "nodes": [ + "issue:5311", + "issue:7366" + ], + "soft_pairs": [ + "issue:5311|issue:7366" + ], + "prepared_review_unit_hash": "9baa15ce715d4bc4c18dd5b8396d7a1c035ada17a0d724c727c80cd770458816", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1546, + "estimated_input_tokens": 387, + "estimated_eval_tokens": 1030 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1546, + "estimated_input_tokens": 387, + "estimated_eval_tokens": 1030 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two closed issues are related only at a broad API level (`load_lora_weights`), but they describe different failure modes: one is a missing attribute on `StableDiffusionXLPipeline`, the other is a dora-specific loading error. I would not treat them as duplicates.", + "confidence": 0.87, + "canonical_issue_reason": "Issue #5311 is the cleaner canonical issue because it names a concrete, specific exception (`StableDiffusionXLPipeline` missing `load_lora_weights`) and is the more directly actionable bug report.", + "canonical_pr_reason": null, + "best_issue_reason": "#5311 is the best representative of the cluster since it captures the core API/attribute problem most precisely; #7366 is narrower and appears to involve a different error path.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5311", + "right": "issue:7366", + "accept": false, + "reason": "Both mention `load_lora_weights`, but the reported problems are not the same underlying bug: one is an AttributeError on SDXL pipeline, the other is a dora-related failure. Too broad to merge as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 89, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5333-2", + "nodes": [ + "issue:5333", + "issue:5375" + ], + "soft_pairs": [ + "issue:5333|issue:5375" + ], + "prepared_review_unit_hash": "0deae05513793c00509fb1782ebd4d0e53e0a7ff0b44f709d25f2d27484bc701", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1637, + "estimated_input_tokens": 410, + "estimated_eval_tokens": 1076 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1637, + "estimated_input_tokens": 410, + "estimated_eval_tokens": 1076 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues report a similar missing `from_single_file` attribute, but they affect different pipeline classes and there\u2019s not enough evidence they\u2019re the same concrete bug instance.", + "confidence": 0.58, + "canonical_issue_reason": "#5333 is the better canonical issue because it was opened earlier and already describes the missing `from_single_file` problem across multiple ControlNet inpaint pipeline variants.", + "canonical_pr_reason": null, + "best_issue_reason": "#5333 is the broadest and most representative report of the defect, so it is the best issue to anchor triage.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5333", + "right": "issue:5375", + "accept": false, + "reason": "Both mention `from_single_file`, but they concern different pipeline classes (`ControlNetInpaint*` vs `StableDiffusionXLControlNetPipeline`). That is too broad to treat as the same underlying bug without a shared code-path or fix evidence." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 90, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5762-2", + "nodes": [ + "issue:5762", + "issue:9733" + ], + "soft_pairs": [ + "issue:5762|issue:9733" + ], + "prepared_review_unit_hash": "c56561610ac3c46e0a376adeb069497581a101378c3f64ab7e958a8d359731f7", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1557, + "estimated_input_tokens": 390, + "estimated_eval_tokens": 1036 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1557, + "estimated_input_tokens": 390, + "estimated_eval_tokens": 1036 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues describe unrelated problems: one is a TemporalConvLayer dimension-mismatch error, the other is a FluxControlNetInpaintPipeline compatibility problem with XLabs controlnets. They are not duplicates.", + "confidence": 0.96, + "canonical_issue_reason": "Issue #9733 is the broader, more specific user-facing bug report with clearer context and newer discussion activity.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #9733 is the better canonical issue because it identifies a concrete pipeline incompatibility and appears to capture the current actionable problem more clearly than the older, narrower TemporalConvLayer error report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5762", + "right": "issue:9733", + "accept": false, + "reason": "These reports concern different code paths and symptoms: a TemporalConvLayer dimension mismatch versus a FluxControlNetInpaintPipeline/XLabs controlnet incompatibility. They do not look like the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 91, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6033-2", + "nodes": [ + "issue:6033", + "issue:6034" + ], + "soft_pairs": [ + "issue:6033|issue:6034" + ], + "prepared_review_unit_hash": "88cc9339d70cac902f4469d8a81ccd71373766a651b5e4c1b42ae1c4ddc61e08", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1669, + "estimated_input_tokens": 418, + "estimated_eval_tokens": 1092 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1669, + "estimated_input_tokens": 418, + "estimated_eval_tokens": 1092 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "6034 is the better-documented issue to keep as canonical, but the match with 6033 is only a soft one based on title similarity and the shared error signature.", + "confidence": 0.74, + "canonical_issue_reason": "6034 is the stronger report because it includes the triggering context (converting a VAE safetensor to diffusers) in addition to the same UnicodeDecodeError title seen in 6033.", + "canonical_pr_reason": null, + "best_issue_reason": "6034 is the best issue to keep as the representative report since it has more actionable context and the same visible error signature as 6033.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6033", + "right": "issue:6034", + "accept": false, + "reason": "The packet only shows title-level overlap and a soft_similarity signal; there is not enough body evidence to confirm they are the same underlying bug." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The canonical choice is plausible, but the writeup is a bit too confident for the evidence in the packet. We only have title-level overlap plus a soft_similarity signal; there is no body evidence tying both reports to the same root cause. Saying they are the same underlying failure / clearly the same conversion failure overstates what is directly supported. A more conservative phrasing would treat 6034 as the better-documented candidate while noting the match is only soft." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 92, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-615-2", + "nodes": [ + "issue:615", + "issue:765" + ], + "soft_pairs": [ + "issue:615|issue:765" + ], + "prepared_review_unit_hash": "1b5cb7d587897acf0456ca31a307fcffe02130f90f0e96a01a97cb0f0402ecab", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1494, + "estimated_input_tokens": 374, + "estimated_eval_tokens": 1004 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1494, + "estimated_input_tokens": 374, + "estimated_eval_tokens": 1004 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two unrelated closed feature/help questions: one asks about an outpainting demo, the other about adding undesired content to the txt2img pipe. They do not describe the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:615", + "right": "issue:765", + "accept": false, + "reason": "Different topics and user intents; no shared concrete problem, code path, or change request beyond both being pipeline-related questions." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 93, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6406-2", + "nodes": [ + "issue:6406", + "issue:6430" + ], + "soft_pairs": [ + "issue:6406|issue:6430" + ], + "prepared_review_unit_hash": "55ed4235ef36a12592b8e5d7078a141fb02ccac33a4b5126ba8331d75b639fe2", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1543, + "estimated_input_tokens": 386, + "estimated_eval_tokens": 1028 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1543, + "estimated_input_tokens": 386, + "estimated_eval_tokens": 1028 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are related to custom pipeline support, but they describe different problems: one is a concrete feature/bug in `lpw_stable_diffusion_xl`, the other is documentation inaccuracy for custom pipelines. They should not be clustered as duplicates.", + "confidence": 0.89, + "canonical_issue_reason": "#6406 is the more concrete, actionable bug report: it identifies a specific pipeline and the missing support for new run parameters.", + "canonical_pr_reason": null, + "best_issue_reason": "#6406 is the best representative issue because it describes a specific runtime behavior problem rather than a documentation complaint.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6406", + "right": "issue:6430", + "accept": false, + "reason": "Related topic, but not the same underlying issue: one is a pipeline feature gap, the other says the custom pipeline docs are inaccurate." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 94, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6882-2", + "nodes": [ + "issue:6882", + "issue:7765" + ], + "soft_pairs": [ + "issue:6882|issue:7765" + ], + "prepared_review_unit_hash": "ac689aedd7b6dcf220b5e1f8efb8cc6996f6afb7a1562ca71240f145b31f22ca", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1558, + "estimated_input_tokens": 390, + "estimated_eval_tokens": 1036 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1558, + "estimated_input_tokens": 390, + "estimated_eval_tokens": 1036 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are not duplicates: #6882 reports slow SDXL inference on Cloud TPU v5e for non-1024 image sizes, while #7765 reports fp16 NaN outputs in FlaxStableDiffusionXLPipeline. They describe different failure modes, triggers, and likely code paths.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue: the reports describe distinct bugs rather than one underlying defect.", + "canonical_pr_reason": null, + "best_issue_reason": "#7765 is the more concrete, reproducible bug report, but it is still separate from #6882.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6882", + "right": "issue:7765", + "accept": false, + "reason": "Different symptoms and contexts: TPU performance regression at non-1024 sizes versus fp16 NaN generation. Not the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 95, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7383-2", + "nodes": [ + "issue:7383", + "issue:8596" + ], + "soft_pairs": [ + "issue:7383|issue:8596" + ], + "prepared_review_unit_hash": "e3233197e266ab28fa7afe4c560df93d8d2e7a485322dca2498fe1cefc5b7a26", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1513, + "estimated_input_tokens": 379, + "estimated_eval_tokens": 1014 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1513, + "estimated_input_tokens": 379, + "estimated_eval_tokens": 1014 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are closely related ControlNet/Playground v2.5 training requests, but the evidence is only title-level soft similarity and does not support a firm duplicate conclusion. No PRs are present.", + "confidence": 0.61, + "canonical_issue_reason": "Issue 8596 is the clearer, more specific phrasing of the shared request, so it is the better issue to use as the representative when grouping these two.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 8596 is the most readable and specific title for the shared topic, but the match is still only a soft relatedness signal rather than a confirmed duplicate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7383", + "right": "issue:8596", + "accept": false, + "reason": "The titles are related, but the packet only shows soft similarity and no stronger evidence that they are the same underlying feature request. This is not enough for a duplicate-style accept." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is a bit too definitive for the evidence available. The packet only shows title-level soft similarity between two issues, and the pair is explicitly not a deterministic accept. It is reasonable to say they are related, but not safe to conclude they are the same feature request with high confidence. The \"no PRs are present\" part is grounded, but the soft-edge verdict is not conservative enough." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 96, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7608-2", + "nodes": [ + "issue:7608", + "issue:9661" + ], + "soft_pairs": [ + "issue:7608|issue:9661" + ], + "prepared_review_unit_hash": "d76aff7a3939a41f943459e44bdf56fc6ebd5a05fbda8771bbcd9ca72b84841b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1508, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1508, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues both concern `from_pretrained`, but they describe different API concerns: one asks for `strict=False`, the other asks whether the `filename` argument was removed. They are related, but not the same underlying bug/request.", + "confidence": 0.43, + "canonical_issue_reason": "Issue #7608 is the broader, more general `from_pretrained` behavior request and is the better representative of this small cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "#7608 is the clearest cluster representative because it is a direct feature request around loading behavior, while #9661 is a narrower parameter-regression question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7608", + "right": "issue:9661", + "accept": false, + "reason": "Same method, but different concerns: `strict=False` support vs. a missing/removed `filename` argument. They are not clearly the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 97, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7677-2", + "nodes": [ + "issue:7677", + "issue:8907" + ], + "soft_pairs": [ + "issue:7677|issue:8907" + ], + "prepared_review_unit_hash": "41c991290503fa7dcdb365b635c4a5fac854dca303c854f668ab689bae6c06f9", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1525, + "estimated_input_tokens": 382, + "estimated_eval_tokens": 1020 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1525, + "estimated_input_tokens": 382, + "estimated_eval_tokens": 1020 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are both in the tests area, but they address different goals: speeding up fast pipeline tests vs improving transformer model test coverage. They do not describe the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": "Issue #7677 is the more central tests-performance thread, with higher discussion and inbound references, so it is the better representative issue if one must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #7677 is the best overall issue to anchor the cluster because it is broader and more actively referenced, while #8907 is a separate coverage-improvement request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7677", + "right": "issue:8907", + "accept": false, + "reason": "Reject: the titles and bodies point to different test workstreams\u2014pipeline speedups versus model test coverage\u2014so they are not the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 98, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7928-2", + "nodes": [ + "issue:7928", + "issue:9081" + ], + "soft_pairs": [ + "issue:7928|issue:9081" + ], + "prepared_review_unit_hash": "1ab4e12028da8a76b1ad49aec2cfa2e97ab61dfe1b8c88ab8c85202dcfa4cf95", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1458, + "estimated_input_tokens": 365, + "estimated_eval_tokens": 986 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1458, + "estimated_input_tokens": 365, + "estimated_eval_tokens": 986 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two unrelated feature requests: one for Kandinsky 3.1 support and one for ControlNet support for Flux.1. They should not be clustered as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue: the two issues request support for different model/features and do not describe the same underlying problem.", + "canonical_pr_reason": null, + "best_issue_reason": "Neither issue is a good canonical representative because they are distinct requests; if forced, 9081 is slightly more concrete, but they should remain separate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7928", + "right": "issue:9081", + "accept": false, + "reason": "Different feature requests for different models (Kandinsky 3.1 vs Flux.1 ControlNet); not the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 99, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8619-2", + "nodes": [ + "issue:8619", + "issue:8748" + ], + "soft_pairs": [ + "issue:8619|issue:8748" + ], + "prepared_review_unit_hash": "201c0dc46fc5718fd7570d4f1b5812470125a6058f4bd05211a43436a14ae0b7", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1543, + "estimated_input_tokens": 386, + "estimated_eval_tokens": 1028 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1543, + "estimated_input_tokens": 386, + "estimated_eval_tokens": 1028 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both issues concern SD3 finetuning/training quality, but they describe different failure modes: one is specifically batch-size-induced destabilization during Dreambooth, the other is a general inability to finetune to better facial/hand quality. They are related, but not clearly the same underlying bug.", + "confidence": 0.68, + "canonical_issue_reason": "Issue 8619 is more specific and actionable, with a concrete trigger (high batch size) and a defined training instability symptom.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 8619 is the better canonical issue because it isolates a reproducible configuration problem rather than a broad quality complaint.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8619", + "right": "issue:8748", + "accept": false, + "reason": "Reject: both are about SD3 finetuning quality, but one targets batch-size destabilization and the other describes general poor finetuning outcomes (face/hand deformation). The underlying bug is not sufficiently specific or shared to treat them as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 100, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8933-2", + "nodes": [ + "issue:8933", + "issue:9315" + ], + "soft_pairs": [ + "issue:8933|issue:9315" + ], + "prepared_review_unit_hash": "a7ef4de9919b5a74aa9ba2428d88151140b996af64ba8d2a907454d551607cca", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1489, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1489, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are both about Kolors, but they request different capabilities: LoRA training versus ControlNet/IP-Adapter FaceID support. They are not duplicates.", + "confidence": 0.89, + "canonical_issue_reason": "issue #9315 is the better representative because it is the more concrete, actionable feature request; #8933 is a much vaguer training ask.", + "canonical_pr_reason": null, + "best_issue_reason": "#9315 is the clearest issue in the set, with a specific target and broader implementation scope than the terse #8933 request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8933", + "right": "issue:9315", + "accept": false, + "reason": "Reject: these are different Kolors feature requests. LoRA training and ControlNet/IP-Adapter FaceID support are separate capabilities and do not describe the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 101, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9076-2", + "nodes": [ + "issue:9076", + "issue:9124" + ], + "soft_pairs": [ + "issue:9076|issue:9124" + ], + "prepared_review_unit_hash": "8c1f550baf3a9d3957f6bc33a028beaae0bbc6af89530c522fbd08b799fd5c18", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1539, + "estimated_input_tokens": 385, + "estimated_eval_tokens": 1026 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1539, + "estimated_input_tokens": 385, + "estimated_eval_tokens": 1026 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are not duplicates: one is a feature request for improving `callback_on_step_end` in `FluxPipeline`, the other is a bug report that `negative_prompt` cannot be used in `FluxPipeline`. They concern different API areas and different underlying changes.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 9124 is the more concrete bug report with a clear failure mode (`negative_prompt` not working in `FluxPipeline`); issue 9076 is a separate enhancement request.", + "canonical_pr_reason": null, + "best_issue_reason": "9124 is the best representative issue because it describes a specific, user-facing bug in the pipeline rather than a general API improvement request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9076", + "right": "issue:9124", + "accept": false, + "reason": "Same subsystem, but different problems: `callback_on_step_end` customization vs `negative_prompt` support. They do not look like the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 102, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9326-2", + "nodes": [ + "issue:9326", + "issue:9329" + ], + "soft_pairs": [ + "issue:9326|issue:9329" + ], + "prepared_review_unit_hash": "57d7d08e80dedc571190863c92186c24ce3f3d1ff88bb33dc8a261701b424325", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1522, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1522, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both issues concern AnimateDiff + ControlNet pipeline behavior, but they target different adjacent workflows: VideoToVideo in #9326 and SparseControl in #9329. They look related at a high level, but not like the same underlying bug.", + "confidence": 0.89, + "canonical_issue_reason": "#9329 is the better representative issue because it is more active and its title is slightly more general within the shared AnimateDiff/ControlNet pipeline area.", + "canonical_pr_reason": null, + "best_issue_reason": "#9329 is the best single issue to surface for the cluster since it has substantially more discussion and is still open, making it the more current tracking thread.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue #9326 [Pipeline] AnimateDiff + VideoToVideo + ControlNet", + "right": "issue #9329 [Pipeline] AnimateDiff + SparseControl + ControlNet", + "accept": false, + "reason": "Reject: both mention AnimateDiff and ControlNet, but the middle component differs and likely indicates different pipeline paths (VideoToVideo vs SparseControl). No evidence they describe the same concrete bug or fixable change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10261", + "pull_request:10364", + "pull_request:10365", + "pull_request:10498", + "pull_request:10568", + "pull_request:10570", + "pull_request:11251", + "pull_request:11395", + "pull_request:11426", + "pull_request:11455", + "pull_request:11463", + "pull_request:11465", + "pull_request:11471", + "pull_request:11492", + "pull_request:12400", + "pull_request:12467", + "pull_request:12534", + "pull_request:12698", + "pull_request:12897", + "pull_request:4855", + "pull_request:4927", + "pull_request:5280", + "pull_request:5286", + "pull_request:5478", + "pull_request:5535", + "pull_request:5744", + "pull_request:5748", + "pull_request:6525", + "pull_request:6556", + "pull_request:6941", + "pull_request:7030", + "pull_request:7031", + "pull_request:7442", + "pull_request:7550", + "pull_request:8725", + "pull_request:8916", + "pull_request:8919", + "pull_request:8987", + "pull_request:9386", + "pull_request:9582", + "pull_request:9583", + "pull_request:9606", + "pull_request:9608", + "pull_request:9659", + "pull_request:9724", + "pull_request:9787", + "pull_request:9815", + "pull_request:9843" + ], + "soft_pairs": [ + "pull_request:10261|pull_request:9787", + "pull_request:8725|pull_request:9386", + "pull_request:6525|pull_request:6556", + "pull_request:11395|pull_request:11463", + "pull_request:9606|pull_request:9724", + "pull_request:11426|pull_request:11492", + "pull_request:5286|pull_request:5478", + "pull_request:10365|pull_request:10498", + "pull_request:9583|pull_request:9608", + "pull_request:5280|pull_request:5535", + "pull_request:10364|pull_request:10498", + "pull_request:7442|pull_request:7550", + "pull_request:6941|pull_request:7030", + "pull_request:6941|pull_request:7031", + "pull_request:9606|pull_request:9815", + "pull_request:11251|pull_request:12400", + "pull_request:9659|pull_request:9843", + "pull_request:12467|pull_request:12698", + "pull_request:9583|pull_request:9815", + "pull_request:11463|pull_request:11492", + "pull_request:9582|pull_request:9724", + "pull_request:4855|pull_request:4927", + "pull_request:10568|pull_request:10570", + "pull_request:11395|pull_request:11471", + "pull_request:12534|pull_request:12897", + "pull_request:11395|pull_request:11455", + "pull_request:11395|pull_request:11465", + "pull_request:5744|pull_request:5748", + "pull_request:11455|pull_request:11471", + "pull_request:11465|pull_request:11471", + "pull_request:8919|pull_request:8987", + "pull_request:8916|pull_request:8987" + ], + "prepared_review_unit_hash": "ee55a4ae50b4eb9b81be18c2ea0156c4c9d48797a30d2c9093270b241a2a62b9", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 32, + "serialized_chars": 109783, + "estimated_input_tokens": 27446, + "estimated_eval_tokens": 55148 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of separate PR families; only a few pairs look like true duplicates or near-duplicates. The clearest matches are the Flux IP-Adapter PRs and the HF token CI workflow updates; most other pairs are broad feature follow-ups or same-issue-but-different-file changes and should stay separate.", + "confidence": 0.72, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:10261 is the strongest representative: it is merged, has explicit issue links, and contains the substantive Flux IP-Adapter implementation that appears to supersede the earlier draft PR 9787 with the same files and feature scope.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:10261 is the best single anchor for the cluster because it is the most complete, high-signal feature PR with clear issue linkage and broad code coverage; the other items are either narrower follow-ups, test/doc churn, or unrelated PR families.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10261", + "right": "pull_request:9787", + "accept": true, + "reason": "Same Flux IP-Adapter feature, same core files, same issue target, and 9787 is a draft/earlier version of the same implementation." + }, + { + "left": "pull_request:8725", + "right": "pull_request:9386", + "accept": false, + "reason": "Both are PAG-related, but they implement different pipelines (SD vs inpaint) and are not the same concrete change." + }, + { + "left": "pull_request:6525", + "right": "pull_request:6556", + "accept": false, + "reason": "Same broad goal of torch.compile compatibility, but they touch different training scripts and different code paths." + }, + { + "left": "pull_request:11395", + "right": "pull_request:11463", + "accept": false, + "reason": "Same interpolation-mode issue, but different example scripts; this is a broad feature roll-out, not a duplicate PR." + }, + { + "left": "pull_request:9606", + "right": "pull_request:9724", + "accept": false, + "reason": "Both touch training_utils docstrings, but they are different docstring edits and look like separate cleanup passes." + }, + { + "left": "pull_request:11426", + "right": "pull_request:11492", + "accept": false, + "reason": "Same interpolation-mode theme, but different training scripts and distinct edits." + }, + { + "left": "pull_request:5286", + "right": "pull_request:5478", + "accept": false, + "reason": "The Japanese docs PR is a subset/prelude, while 5478 is the broader docs rollout; not the same underlying change." + }, + { + "left": "pull_request:10365", + "right": "pull_request:10498", + "accept": false, + "reason": "Both add torch_xla support, but they target different pipelines and different code paths." + }, + { + "left": "pull_request:9583", + "right": "pull_request:9608", + "accept": false, + "reason": "Different files and different docstring refactors; same cleanup theme is not enough to treat them as duplicates." + }, + { + "left": "pull_request:5280", + "right": "pull_request:5535", + "accept": true, + "reason": "Both are the same fast-test optimization in the same test file, with 5535 further tightening the same configuration; they could plausibly be merged into one change." + }, + { + "left": "pull_request:10364", + "right": "pull_request:10498", + "accept": false, + "reason": "Same torch_xla issue target, but different pipelines and separate code paths." + }, + { + "left": "pull_request:7442", + "right": "pull_request:7550", + "accept": false, + "reason": "Both reference differential diffusion, but one is a research README/pipeline package and the other is a community pipeline; not the same change." + }, + { + "left": "pull_request:6941", + "right": "pull_request:7030", + "accept": false, + "reason": "Both concern IP-Adapter support for the same pipeline, but the diffs reflect different integration steps and are not clearly the same concrete patch." + }, + { + "left": "pull_request:6941", + "right": "pull_request:7031", + "accept": false, + "reason": "Same issue area, but 7031 is a narrower follow-up around mixin/weight-loading details rather than the same exact patch." + }, + { + "left": "pull_request:9606", + "right": "pull_request:9815", + "accept": false, + "reason": "Same file and same docstring cleanup theme, but the edits are separate passes on different functions." + }, + { + "left": "pull_request:11251", + "right": "pull_request:12400", + "accept": false, + "reason": "Both address SD3 multi-controlnet support, but they fix different parts of the pipeline (init vs call-time normalization) and are not the same patch." + }, + { + "left": "pull_request:9659", + "right": "pull_request:9843", + "accept": false, + "reason": "Same SD3 LoRA testing area, but 9843 swaps test inputs/results and is a separate test update rather than the same bug fix." + }, + { + "left": "pull_request:12467", + "right": "pull_request:12698", + "accept": false, + "reason": "Both mention QwenImage batch handling, but 12698 broadens normalization across multiple pipelines and is not just the same PR in disguise." + }, + { + "left": "pull_request:9583", + "right": "pull_request:9815", + "accept": false, + "reason": "Different files and different docstring cleanup tasks; related style work does not make them duplicates." + }, + { + "left": "pull_request:11463", + "right": "pull_request:11492", + "accept": false, + "reason": "Same interpolation-mode feature request, but different scripts and different validation/error-handling details." + }, + { + "left": "pull_request:9582", + "right": "pull_request:9724", + "accept": false, + "reason": "Unrelated files and documentation changes; only the general refactor theme matches." + }, + { + "left": "pull_request:4855", + "right": "pull_request:4927", + "accept": false, + "reason": "This is a PR and its temporary revert, not two duplicate fixes." + }, + { + "left": "pull_request:10568", + "right": "pull_request:10570", + "accept": true, + "reason": "Both change the same workflow token replacement in the same file; they are effectively the same CI secret migration split across jobs." + }, + { + "left": "pull_request:11395", + "right": "pull_request:11471", + "accept": false, + "reason": "Same interpolation-mode issue, but different training scripts and different implementation surfaces." + }, + { + "left": "pull_request:12534", + "right": "pull_request:12897", + "accept": false, + "reason": "They overlap on Flux NPU position embeddings, but 12897 is a broader multi-model NPU optimization and not the same single-file fix." + }, + { + "left": "pull_request:11455", + "right": "pull_request:11471", + "accept": false, + "reason": "Same general image-interpolation change, but different training scripts and separate edits." + }, + { + "left": "pull_request:11465", + "right": "pull_request:11471", + "accept": false, + "reason": "Different training scripts; same feature request is too broad to treat as a duplicate." + }, + { + "left": "pull_request:8919", + "right": "pull_request:8987", + "accept": false, + "reason": "Both are model test coverage additions, but they target different transformer models and separate files." + }, + { + "left": "pull_request:8916", + "right": "pull_request:8987", + "accept": false, + "reason": "Different model families and different test modules; same coverage campaign is not a duplicate." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative about the many same-theme but non-duplicate PRs. The accepted soft-edge pairs are also defensible as mergeable into single bugfix/cleanup PRs: 10261/9787 is the same Flux IP-Adapter feature path, 5280/5535 is the same fast-test optimization in the same file, and 10568/10570 is the same HF token workflow migration across jobs. No clear overstatement stands out." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 2, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10259", + "pull_request:10437", + "pull_request:10508", + "pull_request:10578", + "pull_request:11271", + "pull_request:11395", + "pull_request:11421", + "pull_request:11455", + "pull_request:11465", + "pull_request:11472", + "pull_request:11491", + "pull_request:11492", + "pull_request:11578", + "pull_request:11728", + "pull_request:12451", + "pull_request:12856", + "pull_request:12857", + "pull_request:2602", + "pull_request:3633", + "pull_request:4536", + "pull_request:456", + "pull_request:4910", + "pull_request:533", + "pull_request:6332", + "pull_request:6525", + "pull_request:6558", + "pull_request:6576", + "pull_request:6577", + "pull_request:7113", + "pull_request:7117", + "pull_request:7797", + "pull_request:7803", + "pull_request:7804", + "pull_request:7833", + "pull_request:7846", + "pull_request:7898", + "pull_request:8239", + "pull_request:8630", + "pull_request:8755", + "pull_request:9300", + "pull_request:9346", + "pull_request:9579", + "pull_request:9591", + "pull_request:9682", + "pull_request:9706", + "pull_request:9817", + "pull_request:9896" + ], + "soft_pairs": [ + "pull_request:11395|pull_request:11472", + "pull_request:11455|pull_request:11491", + "pull_request:11465|pull_request:11491", + "pull_request:11455|pull_request:11472", + "pull_request:11465|pull_request:11472", + "pull_request:9579|pull_request:9591", + "pull_request:6525|pull_request:6558", + "pull_request:6525|pull_request:6576", + "pull_request:6332|pull_request:8239", + "pull_request:8630|pull_request:8755", + "pull_request:11271|pull_request:11578", + "pull_request:9817|pull_request:9896", + "pull_request:7113|pull_request:7117", + "pull_request:4536|pull_request:4910", + "pull_request:12856|pull_request:12857", + "pull_request:9579|pull_request:9706", + "pull_request:10259|pull_request:10578", + "pull_request:456|pull_request:533", + "pull_request:8755|pull_request:9682", + "pull_request:11728|pull_request:12451", + "pull_request:6525|pull_request:6577", + "pull_request:7797|pull_request:7898", + "pull_request:7803|pull_request:7898", + "pull_request:7804|pull_request:7898", + "pull_request:7833|pull_request:7898", + "pull_request:7846|pull_request:7898", + "pull_request:10437|pull_request:10508", + "pull_request:11421|pull_request:11492", + "pull_request:2602|pull_request:3633", + "pull_request:9300|pull_request:9346" + ], + "prepared_review_unit_hash": "ba872b79af7bdd971fb6ac024626d3109b14d46d28da9bb147bdd384988daff0", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 30, + "serialized_chars": 100186, + "estimated_input_tokens": 25047, + "estimated_eval_tokens": 50350 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These PRs are only loosely related by broad theme (training-script tweaks, docs, tests, loaders, and feature additions). None of the soft pairs look like the same concrete change or bug fix, so I would not collapse any of them as duplicates.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:11395", + "right": "pull_request:11472", + "accept": false, + "reason": "Both add an image interpolation option, but they target different training scripts and are separate code paths, so they are not the same PR-worthy change." + }, + { + "left": "pull_request:11455", + "right": "pull_request:11491", + "accept": false, + "reason": "Same general interpolation idea, but one is SDXL text-to-image and the other is Lumina2 DreamBooth LoRA; different entrypoints and changes." + }, + { + "left": "pull_request:11465", + "right": "pull_request:11491", + "accept": false, + "reason": "Both touch interpolation defaults, but they apply to different scripts and one is unreleased; not the same concrete fix." + }, + { + "left": "pull_request:11455", + "right": "pull_request:11472", + "accept": false, + "reason": "Related only by adding a resize-mode option; these are distinct training scripts and not mergeable as one duplicate change." + }, + { + "left": "pull_request:11465", + "right": "pull_request:11472", + "accept": false, + "reason": "Different training scripts with similar parameter additions; too broad to be the same underlying change." + }, + { + "left": "pull_request:9579", + "right": "pull_request:9591", + "accept": false, + "reason": "Both are documentation cleanups, but they update different files and address different docs content, not one bug or feature." + }, + { + "left": "pull_request:6525", + "right": "pull_request:6558", + "accept": false, + "reason": "Both are torch.compile-related training-script fixes, but they affect different example scripts and save paths." + }, + { + "left": "pull_request:6525", + "right": "pull_request:6576", + "accept": false, + "reason": "Same broad torch.compile compatibility theme, but different training scripts and code paths." + }, + { + "left": "pull_request:6332", + "right": "pull_request:8239", + "accept": false, + "reason": "Both touch community README content, but they are unrelated community pipeline additions for different methods." + }, + { + "left": "pull_request:8630", + "right": "pull_request:8755", + "accept": false, + "reason": "Same SD3 DreamBooth LoRA script, but one adds text-encoder training and the other fixes a later bug in prompt/encoder handling; different changes." + }, + { + "left": "pull_request:11271", + "right": "pull_request:11578", + "accept": false, + "reason": "Both modify single-file LTX video support, but they target different model versions and loading branches." + }, + { + "left": "pull_request:9817", + "right": "pull_request:9896", + "accept": false, + "reason": "A PR and its revert are opposites, not duplicate implementations of the same change to keep." + }, + { + "left": "pull_request:7113", + "right": "pull_request:7117", + "accept": false, + "reason": "Both add Slack notifications, but one is for Docker image builds and the other for nightly tests; separate workflows." + }, + { + "left": "pull_request:4536", + "right": "pull_request:4910", + "accept": false, + "reason": "Both concern inpainting docs, but one adds a new example and the other fixes a typo in that example; not the same change." + }, + { + "left": "pull_request:12856", + "right": "pull_request:12857", + "accept": false, + "reason": "One is mostly docs/API generation and the other is the actual z-image-omni implementation; related feature area, but not the same concrete change." + }, + { + "left": "pull_request:9579", + "right": "pull_request:9706", + "accept": false, + "reason": "Both are documentation edits, but they cover different model/doc pages and do not represent one duplicate fix." + }, + { + "left": "pull_request:10259", + "right": "pull_request:10578", + "accept": false, + "reason": "Both touch lora_pipeline.py, but one adds Flux-LoRA loading for control/fill and the other adds 4-bit quantized Flux support; different bugs/features." + }, + { + "left": "pull_request:456", + "right": "pull_request:533", + "accept": false, + "reason": "The second is a revert of the first, so they are not duplicate attempts at the same stable change." + }, + { + "left": "pull_request:8755", + "right": "pull_request:9682", + "accept": false, + "reason": "Both are SD3 DreamBooth LoRA updates, but they solve different issues: a text-encoder-training bug fix versus broader training updates/tests." + }, + { + "left": "pull_request:11728", + "right": "pull_request:12451", + "accept": false, + "reason": "Both edit the doc-builder Dockerfile, but they add different packages/apt tools for different purposes." + }, + { + "left": "pull_request:6525", + "right": "pull_request:6577", + "accept": false, + "reason": "Same compile-compatibility theme, but for different example scripts and different model classes." + }, + { + "left": "pull_request:7797", + "right": "pull_request:7898", + "accept": false, + "reason": "Both reduce fast-test model sizes, but they target different pipelines and are separate test refactors." + }, + { + "left": "pull_request:7803", + "right": "pull_request:7898", + "accept": false, + "reason": "Different pipeline tests with unrelated dummy-model reductions; not the same underlying fix." + }, + { + "left": "pull_request:7804", + "right": "pull_request:7898", + "accept": false, + "reason": "Both are test-size reductions, but for different Amused vs DiT test files and not one duplicated change." + }, + { + "left": "pull_request:7833", + "right": "pull_request:7898", + "accept": false, + "reason": "Same general test-speed goal, but different pipelines and model setups; not a single concrete bug fix." + }, + { + "left": "pull_request:7846", + "right": "pull_request:7898", + "accept": false, + "reason": "Different audio vs DiT test fixtures; similar maintenance theme, not duplicate code." + }, + { + "left": "pull_request:10437", + "right": "pull_request:10508", + "accept": false, + "reason": "Both make tests device-agnostic, but they touch different test suites and fix different accelerator handling gaps." + }, + { + "left": "pull_request:11421", + "right": "pull_request:11492", + "accept": false, + "reason": "Same interpolation-default theme, but different DreamBooth scripts and separate code paths." + }, + { + "left": "pull_request:2602", + "right": "pull_request:3633", + "accept": false, + "reason": "Both pin huggingface-hub in setup.py, but they are different release-test pins at different versions and times." + }, + { + "left": "pull_request:9300", + "right": "pull_request:9346", + "accept": false, + "reason": "Both are CI/test fixes, but they patch different model/test behaviors and are not one merged code change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 3, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10318", + "pull_request:10378", + "pull_request:11395", + "pull_request:11421", + "pull_request:11449", + "pull_request:11471", + "pull_request:11472", + "pull_request:11490", + "pull_request:11491", + "pull_request:11492", + "pull_request:11737", + "pull_request:1488", + "pull_request:3642", + "pull_request:4155", + "pull_request:4188", + "pull_request:4216", + "pull_request:5027", + "pull_request:5407", + "pull_request:5674", + "pull_request:5720", + "pull_request:6035", + "pull_request:6171", + "pull_request:6380", + "pull_request:643", + "pull_request:644", + "pull_request:645", + "pull_request:7233", + "pull_request:7679", + "pull_request:7697", + "pull_request:7797", + "pull_request:7803", + "pull_request:7804", + "pull_request:7833", + "pull_request:7846", + "pull_request:7865", + "pull_request:8675", + "pull_request:9257", + "pull_request:9300", + "pull_request:9353", + "pull_request:9355", + "pull_request:942", + "pull_request:9592", + "pull_request:9598", + "pull_request:9646", + "pull_request:9682", + "pull_request:9714", + "pull_request:9715" + ], + "soft_pairs": [ + "pull_request:9353|pull_request:9598", + "pull_request:5674|pull_request:5720", + "pull_request:7797|pull_request:7865", + "pull_request:7803|pull_request:7865", + "pull_request:7804|pull_request:7865", + "pull_request:7833|pull_request:7865", + "pull_request:7846|pull_request:7865", + "pull_request:11421|pull_request:11449", + "pull_request:11421|pull_request:11491", + "pull_request:9592|pull_request:9714", + "pull_request:3642|pull_request:4216", + "pull_request:9257|pull_request:9646", + "pull_request:643|pull_request:644", + "pull_request:9592|pull_request:9715", + "pull_request:643|pull_request:645", + "pull_request:11472|pull_request:11492", + "pull_request:11395|pull_request:11449", + "pull_request:9646|pull_request:9682", + "pull_request:10318|pull_request:9598", + "pull_request:5027|pull_request:5407", + "pull_request:11471|pull_request:11490", + "pull_request:7679|pull_request:7697", + "pull_request:6035|pull_request:6171", + "pull_request:9300|pull_request:9355", + "pull_request:10378|pull_request:11737", + "pull_request:1488|pull_request:942", + "pull_request:6380|pull_request:8675", + "pull_request:4155|pull_request:4188", + "pull_request:6035|pull_request:7233" + ], + "prepared_review_unit_hash": "00ed665516f2d55fc5d317ed0c22ba7c812c9cd0e4fd2a4b82d7d8b9edcd293a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 29, + "serialized_chars": 98237, + "estimated_input_tokens": 24560, + "estimated_eval_tokens": 49376 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items split into unrelated change families: docs cleanup, fast-test reductions, interpolation defaults across different scripts, and a few platform/dtype fixes. The only clear duplicate-like family is the textual-inversion checkpoint-saving work; the mixed-precision unconditional-generation pair should not be merged as the same fix based on the diff evidence.", + "confidence": 0.68, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR cleanly spans the whole cluster because the items are mostly unrelated families.", + "best_issue_reason": null, + "best_pr_reason": "PR 645 is the strongest representative of the textual-inversion checkpoint-saving family: it is the merged, concrete implementation rather than an earlier WIP variant.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9353", + "right": "pull_request:9598", + "accept": false, + "reason": "Same file, but different changes: one adds Flux LoRA integration tests, the other only adds a version note to the test class." + }, + { + "left": "pull_request:5674", + "right": "pull_request:5720", + "accept": false, + "reason": "Both are docs cleanup, but they touch different doc sections/files and are separate typo/update passes." + }, + { + "left": "pull_request:7797", + "right": "pull_request:7865", + "accept": false, + "reason": "Both reduce test model size, but for different pipelines and different code paths." + }, + { + "left": "pull_request:7803", + "right": "pull_request:7865", + "accept": false, + "reason": "Different test targets and pipelines; only a broad test-speed theme is shared." + }, + { + "left": "pull_request:7804", + "right": "pull_request:7865", + "accept": false, + "reason": "Amused fast-test downsizing and Dance Diffusion downsizing are separate test-only changes." + }, + { + "left": "pull_request:7833", + "right": "pull_request:7865", + "accept": false, + "reason": "AudioLDM fast-test reduction is unrelated to Dance Diffusion beyond both being test simplifications." + }, + { + "left": "pull_request:7846", + "right": "pull_request:7865", + "accept": false, + "reason": "AudioLDM2 fast-test reduction is a separate test-only change, not the same bug or patch." + }, + { + "left": "pull_request:11421", + "right": "pull_request:11449", + "accept": false, + "reason": "Same interpolation theme, but they modify different training scripts and different concrete code paths." + }, + { + "left": "pull_request:11421", + "right": "pull_request:11491", + "accept": false, + "reason": "Both add image interpolation options, but to different scripts; not one shared fix." + }, + { + "left": "pull_request:9592", + "right": "pull_request:9714", + "accept": false, + "reason": "Docstring refactoring in different files; not the same change." + }, + { + "left": "pull_request:3642", + "right": "pull_request:4216", + "accept": false, + "reason": "Same community inpaint file, but one adds the pipeline and the other changes strength/timestep handling." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9646", + "accept": false, + "reason": "Both touch DreamBooth Flux training, but one fixes prompt/tokenization behavior and the other adds configurable LoRA target modules plus a separate bug fix." + }, + { + "left": "pull_request:643", + "right": "pull_request:644", + "accept": true, + "reason": "These are effectively the same textual-inversion checkpoint-saving feature: same script, same save-progress idea, and both target issue 524 as WIP variants." + }, + { + "left": "pull_request:9592", + "right": "pull_request:9715", + "accept": false, + "reason": "Both are docstring refactors, but they are in different files and are separate documentation edits." + }, + { + "left": "pull_request:643", + "right": "pull_request:645", + "accept": false, + "reason": "643 is a WIP checkpoint-saving attempt, while 645 is the later merged implementation; related, but not the same PR-level change." + }, + { + "left": "pull_request:11472", + "right": "pull_request:11492", + "accept": false, + "reason": "Both add lanczos interpolation to advanced DreamBooth scripts, but they are different model/training variants and separate patches." + }, + { + "left": "pull_request:11395", + "right": "pull_request:11449", + "accept": false, + "reason": "Same interpolation/default-resizing theme, but different training scripts and different concrete code paths." + }, + { + "left": "pull_request:9646", + "right": "pull_request:9682", + "accept": false, + "reason": "DreamBooth Flux LoRA configuration changes are unrelated to SD3 DreamBooth-LoRA bug fixes." + }, + { + "left": "pull_request:10318", + "right": "pull_request:9598", + "accept": false, + "reason": "Integration-test additions vs a class-level version note are different test-only changes." + }, + { + "left": "pull_request:5027", + "right": "pull_request:5407", + "accept": false, + "reason": "The shared mixed-precision theme is too broad; the diffs show different code changes in the same file, not one concrete bugfix." + }, + { + "left": "pull_request:11471", + "right": "pull_request:11490", + "accept": false, + "reason": "Both add lanczos interpolation defaults, but in different scripts and different code paths." + }, + { + "left": "pull_request:7679", + "right": "pull_request:7697", + "accept": false, + "reason": "Both mention PEFT/UV installation, but they change different workflows and are not the same fix." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6171", + "accept": false, + "reason": "Same file family, but help-tag cleanup is not the same change as adding the validation/inference behavior update." + }, + { + "left": "pull_request:6380", + "right": "pull_request:8675", + "accept": false, + "reason": "Both edit the fast-diffusion docs, but the content changes are distinct and unrelated." + }, + { + "left": "pull_request:9300", + "right": "pull_request:9355", + "accept": false, + "reason": "One is a broad fast-GPU test fix set; the other only adds workflow_dispatch to the push-tests workflow." + }, + { + "left": "pull_request:10378", + "right": "pull_request:11737", + "accept": false, + "reason": "Both are training-script changes, but for different models and different save/model-hook behavior." + }, + { + "left": "pull_request:1488", + "right": "pull_request:942", + "accept": false, + "reason": "Both are MPS dtype fixes, but they hit different code paths and different dtype issues." + }, + { + "left": "pull_request:6380", + "right": "pull_request:8675", + "accept": false, + "reason": "Different docs additions in the same tutorial, but not the same content change." + }, + { + "left": "pull_request:4155", + "right": "pull_request:4188", + "accept": false, + "reason": "Different SDXL ControlNet-related changes: one is a pipeline follow-up fix, the other is dataset fingerprint/caching in training." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7233", + "accept": false, + "reason": "Same advanced SDXL DreamBooth-LoRA script family, but help text cleanup is not the same change as adding DoRA support." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is mostly grounded, but one soft-edge acceptance looks too strong for the evidence in the packet: pull_request:5027 vs pull_request:5407. They share a broad mixed-precision theme and the same file, but the diffs shown point to different code changes, so treating them as the same bugfix family is not conservative enough. The textual-inversion pair (643/644) and the 643/645 rejection are more defensible." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 4, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10288", + "pull_request:10318", + "pull_request:10921", + "pull_request:10922", + "pull_request:10991", + "pull_request:11025", + "pull_request:11449", + "pull_request:11455", + "pull_request:11463", + "pull_request:11465", + "pull_request:11471", + "pull_request:11588", + "pull_request:11670", + "pull_request:11776", + "pull_request:12086", + "pull_request:12269", + "pull_request:2677", + "pull_request:2734", + "pull_request:3169", + "pull_request:3419", + "pull_request:3472", + "pull_request:3642", + "pull_request:377", + "pull_request:388", + "pull_request:5720", + "pull_request:5744", + "pull_request:6021", + "pull_request:6035", + "pull_request:6464", + "pull_request:6550", + "pull_request:6555", + "pull_request:6599", + "pull_request:676", + "pull_request:677", + "pull_request:7182", + "pull_request:7235", + "pull_request:8230", + "pull_request:8773", + "pull_request:8774", + "pull_request:8775", + "pull_request:8976", + "pull_request:8986", + "pull_request:9005", + "pull_request:9207", + "pull_request:9353", + "pull_request:9593", + "pull_request:9707", + "pull_request:9775" + ], + "soft_pairs": [ + "pull_request:8773|pull_request:8774", + "pull_request:10318|pull_request:9353", + "pull_request:6035|pull_request:7235", + "pull_request:11670|pull_request:11776", + "pull_request:8774|pull_request:8976", + "pull_request:6464|pull_request:6599", + "pull_request:11449|pull_request:11455", + "pull_request:11449|pull_request:11465", + "pull_request:3419|pull_request:3642", + "pull_request:5720|pull_request:5744", + "pull_request:11025|pull_request:11588", + "pull_request:12086|pull_request:12269", + "pull_request:10288|pull_request:10991", + "pull_request:11463|pull_request:11471", + "pull_request:2677|pull_request:3472", + "pull_request:2734|pull_request:3169", + "pull_request:377|pull_request:388", + "pull_request:6021|pull_request:7182", + "pull_request:8230|pull_request:9207", + "pull_request:8775|pull_request:9775", + "pull_request:8986|pull_request:9005", + "pull_request:9593|pull_request:9707", + "pull_request:10921|pull_request:10922", + "pull_request:676|pull_request:677", + "pull_request:6550|pull_request:6555" + ], + "prepared_review_unit_hash": "2672dc6f0a41dca0e995494859a1c64e75991e9e1aef54bf9f48820bc3cd41dd", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 110163, + "estimated_input_tokens": 27541, + "estimated_eval_tokens": 55338 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly thematically related but not duplicate: Wan/Flux/LoRA/docs/CI changes are separate concrete PRs, and the close pairs are usually follow-ups, reverts, or same-area enhancements rather than the same mergeable change. I found no soft-edge pair that should be accepted as a duplicate; the strongest canonical PR candidate is the merged Wan follow-up #10922.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "#10922 is the most complete, merged implementation in the set: it continues #10921, adds the main Wan docs/code/tests, and represents the finished feature rather than a partial or orthogonal change.", + "best_issue_reason": null, + "best_pr_reason": "#10922 is the best overall representative PR here because it is feature-complete, merged, well-reviewed, and materially broader than the other candidates in the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8773", + "right": "pull_request:8774", + "accept": false, + "reason": "Same topic but opposite changes: one introduces LoraBaseMixin, the other reverts it. Not the same underlying change." + }, + { + "left": "pull_request:10318", + "right": "pull_request:9353", + "accept": false, + "reason": "Both add Flux LoRA tests, but they cover different test cases and behaviors; not a single duplicate change." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7235", + "accept": false, + "reason": "Different features in the same script: help text cleanup vs adding DoRA training support." + }, + { + "left": "pull_request:11670", + "right": "pull_request:11776", + "accept": false, + "reason": "Both are torch.compile-related tests, but one targets group offloading and the other varied resolutions; different concrete issues." + }, + { + "left": "pull_request:8774", + "right": "pull_request:8976", + "accept": false, + "reason": "8976 is a revert of 8774, not a duplicate of the same change." + }, + { + "left": "pull_request:6464", + "right": "pull_request:6599", + "accept": false, + "reason": "Both touch the same advanced SDXL LoRA script, but they fix different bugs and code paths." + }, + { + "left": "pull_request:11449", + "right": "pull_request:11455", + "accept": false, + "reason": "Different training scripts; both change interpolation defaults, but they are separate PRs for separate code paths." + }, + { + "left": "pull_request:11449", + "right": "pull_request:11465", + "accept": false, + "reason": "Same interpolation theme, but controlnet training vs text-to-image LoRA training are different changes." + }, + { + "left": "pull_request:3419", + "right": "pull_request:3642", + "accept": false, + "reason": "Both edit the community README, but they add different TensorRT pipeline entries." + }, + { + "left": "pull_request:5720", + "right": "pull_request:5744", + "accept": false, + "reason": "Both are docs cleanup PRs, but they affect different documentation pages and content." + }, + { + "left": "pull_request:11025", + "right": "pull_request:11588", + "accept": false, + "reason": "Both concern Wan LoRA support, but one converts non-diffusers Wan LoRAs and the other expands T2V LoRAs for I2V; distinct fixes." + }, + { + "left": "pull_request:12086", + "right": "pull_request:12269", + "accept": false, + "reason": "Same modular Flux area, but one adds I2I support while the other adds Flux Kontext support; not the same concrete change." + }, + { + "left": "pull_request:10288", + "right": "pull_request:10991", + "accept": false, + "reason": "Both add single-file support, but for different model families and loaders (Flux vs Wan)." + }, + { + "left": "pull_request:11463", + "right": "pull_request:11471", + "accept": false, + "reason": "Same interpolation-default idea, but applied to different scripts and training flows." + }, + { + "left": "pull_request:2677", + "right": "pull_request:3472", + "accept": false, + "reason": "Both are docs additions, but for different training topics (ControlNet vs IF Dreambooth)." + }, + { + "left": "pull_request:2734", + "right": "pull_request:3169", + "accept": false, + "reason": "Both update Habana docs, but they make different edits and are not the same change." + }, + { + "left": "pull_request:377", + "right": "pull_request:388", + "accept": false, + "reason": "Different pipeline docs and code: Latent Diffusion vs Unconditional Latent Diffusion." + }, + { + "left": "pull_request:6021", + "right": "pull_request:7182", + "accept": false, + "reason": "Different SDXL DreamBooth enhancements: variant plumbing vs EDM-style training support." + }, + { + "left": "pull_request:8230", + "right": "pull_request:9207", + "accept": false, + "reason": "Both discuss CPU offloading usage, but they target different docs/examples/code areas and are not the same fix." + }, + { + "left": "pull_request:8775", + "right": "pull_request:9775", + "accept": false, + "reason": "Unrelated README/doc updates: Colab link vs NF5/T5-xxl note." + }, + { + "left": "pull_request:8986", + "right": "pull_request:9005", + "accept": false, + "reason": "Both touch nightly test runner config, but 9005 is a broader multi-workflow runner update rather than the same change as 8986." + }, + { + "left": "pull_request:9593", + "right": "pull_request:9707", + "accept": false, + "reason": "Both are docstring cleanups, but for different files and classes." + }, + { + "left": "pull_request:10921", + "right": "pull_request:10922", + "accept": false, + "reason": "10922 is a follow-up continuation of 10921, not a duplicate of the same change." + }, + { + "left": "pull_request:676", + "right": "pull_request:677", + "accept": false, + "reason": "Same file refactor, but different functions and different renaming scopes; not the same underlying change." + }, + { + "left": "pull_request:6550", + "right": "pull_request:6555", + "accept": false, + "reason": "Both are torch.compile-related training script fixes, but they target different scripts and compatibility issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 5, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10288", + "pull_request:10298", + "pull_request:10437", + "pull_request:10508", + "pull_request:10781", + "pull_request:11058", + "pull_request:11516", + "pull_request:12095", + "pull_request:12170", + "pull_request:12236", + "pull_request:12272", + "pull_request:12439", + "pull_request:12566", + "pull_request:12790", + "pull_request:1846", + "pull_request:1927", + "pull_request:2479", + "pull_request:2487", + "pull_request:2588", + "pull_request:2677", + "pull_request:3297", + "pull_request:3707", + "pull_request:3711", + "pull_request:3979", + "pull_request:4188", + "pull_request:4223", + "pull_request:4237", + "pull_request:4238", + "pull_request:424", + "pull_request:4481", + "pull_request:4946", + "pull_request:509", + "pull_request:5097", + "pull_request:5172", + "pull_request:5914", + "pull_request:5979", + "pull_request:6021", + "pull_request:6035", + "pull_request:6528", + "pull_request:6566", + "pull_request:6884", + "pull_request:7166", + "pull_request:7182", + "pull_request:7189", + "pull_request:7413", + "pull_request:8926", + "pull_request:9083", + "pull_request:9400" + ], + "soft_pairs": [ + "pull_request:10508|pull_request:11058", + "pull_request:2479|pull_request:2588", + "pull_request:424|pull_request:509", + "pull_request:6884|pull_request:7189", + "pull_request:11516|pull_request:12095", + "pull_request:2677|pull_request:4946", + "pull_request:3979|pull_request:5914", + "pull_request:4481|pull_request:5979", + "pull_request:5097|pull_request:5172", + "pull_request:10437|pull_request:9400", + "pull_request:4188|pull_request:4223", + "pull_request:6035|pull_request:7182", + "pull_request:12170|pull_request:12790", + "pull_request:3707|pull_request:3711", + "pull_request:4237|pull_request:4238", + "pull_request:6021|pull_request:6035", + "pull_request:12236|pull_request:12439", + "pull_request:1846|pull_request:3297", + "pull_request:10288|pull_request:10781", + "pull_request:1927|pull_request:2487", + "pull_request:6035|pull_request:6566", + "pull_request:6528|pull_request:7413", + "pull_request:7166|pull_request:8926", + "pull_request:10298|pull_request:9083", + "pull_request:12272|pull_request:12566", + "pull_request:5914|pull_request:6035" + ], + "prepared_review_unit_hash": "8a3be2f0b8e8f3ce28e97bde7978487d8b746f2f97bddf0fafc8c5ccee72e730", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 110535, + "estimated_input_tokens": 27634, + "estimated_eval_tokens": 55524 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set does not form a single duplicate cluster; it\u2019s a collection of unrelated PRs across docs, tests, model support, and bug fixes. The soft-edge pairs are mostly broad topical neighbors, but not the same underlying change or bug, so I reject them all.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:10508", + "right": "pull_request:11058", + "accept": false, + "reason": "Both touch test device-agnosticism, but they fix different test infra problems in different files and stages of the rollout; not the same bug/change." + }, + { + "left": "pull_request:2479", + "right": "pull_request:2588", + "accept": false, + "reason": "Both mention LoRA text encoder support, but one is a training-script feature and the other is a research-project README/script; they are not the same code-path change." + }, + { + "left": "pull_request:424", + "right": "pull_request:509", + "accept": false, + "reason": "Both are about image-based SD tests, but one fixes reproducibility/dataset selection while the other adds a load_image utility and test plumbing. Different fixes." + }, + { + "left": "pull_request:6884", + "right": "pull_request:7189", + "accept": false, + "reason": "IP-Adapter scale validation and plus-embed handling are separate bugs in different paths; same subsystem, not the same issue." + }, + { + "left": "pull_request:11516", + "right": "pull_request:12095", + "accept": false, + "reason": "Both are LTX Video work, but 0.9.7 support and 0.9.8 infinite/tone-mapping changes are distinct model/version additions." + }, + { + "left": "pull_request:2677", + "right": "pull_request:4946", + "accept": false, + "reason": "Both add docs entries, but they cover different training examples (ControlNet vs T2I-Adapter)." + }, + { + "left": "pull_request:3979", + "right": "pull_request:5914", + "accept": false, + "reason": "Unrelated fixes: one is an SDXL attention/type bug, the other is a DreamBooth README/template cleanup." + }, + { + "left": "pull_request:4481", + "right": "pull_request:5979", + "accept": false, + "reason": "Different model families entirely (EDM vs DDGAN); not mergeable as one PR and not the same change." + }, + { + "left": "pull_request:5097", + "right": "pull_request:5172", + "accept": false, + "reason": "Both adjust test tolerances/randomness, but they address different test failures and code paths; too broad to treat as duplicates." + }, + { + "left": "pull_request:10437", + "right": "pull_request:9400", + "accept": false, + "reason": "Both are device-agnostic test updates, but they cover different test suites and offload/device behaviors." + }, + { + "left": "pull_request:4188", + "right": "pull_request:4223", + "accept": false, + "reason": "Same training script, but one fixes dataset fingerprinting/caching and the other fixes SDXL ControlNet inference call details; separate bugs." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7182", + "accept": false, + "reason": "Both touch the advanced DreamBooth LoRA README/script, but one improves help text and the other adds EDM-style training support; different changes." + }, + { + "left": "pull_request:12170", + "right": "pull_request:12790", + "accept": false, + "reason": "Both are LoRA conversion utilities, but they target different community model formats (Qwen vs ZImage) and different key-normalization problems." + }, + { + "left": "pull_request:3707", + "right": "pull_request:3711", + "accept": false, + "reason": "3711 is a revert of 3707, not the same underlying bug/change." + }, + { + "left": "pull_request:4237", + "right": "pull_request:4238", + "accept": false, + "reason": "Both are SDXL ControlNet-related, but one fixes prompt embedding dtype while the other fixes model offload ordering; separate issues." + }, + { + "left": "pull_request:6021", + "right": "pull_request:6035", + "accept": false, + "reason": "One adds a variant argument, the other improves help text; same file but different concerns and not the same change." + }, + { + "left": "pull_request:12236", + "right": "pull_request:12439", + "accept": false, + "reason": "Related attention-backend work, but one adds hub FlashAttention support and the other wires sage attention/FA2 through kernels; distinct implementations." + }, + { + "left": "pull_request:1846", + "right": "pull_request:3297", + "accept": false, + "reason": "Both are RDM projects, but the first is a WIP core retriever/RDM effort and the second is a separate research-project example implementation; not the same code-path change." + }, + { + "left": "pull_request:1927", + "right": "pull_request:2487", + "accept": false, + "reason": "Both are docs additions, but for unrelated guides (Stable Diffusion guide vs JAX/Flax guide)." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6566", + "accept": false, + "reason": "Same advanced DreamBooth LoRA script, but one is documentation/help text and the other is resume-training logic; not duplicates." + }, + { + "left": "pull_request:6528", + "right": "pull_request:7413", + "accept": false, + "reason": "Both involve IP-Adapter-like logic, but they fix different pipelines and different embedding handling paths." + }, + { + "left": "pull_request:7166", + "right": "pull_request:8926", + "accept": false, + "reason": "Different DreamBooth SDXL issues: one fixes loading text-encoder weights, the other fixes checkpoint saving." + }, + { + "left": "pull_request:10298", + "right": "pull_request:9083", + "accept": false, + "reason": "Both add single-file support, but for different models (LTX GGUF vs Flux transformer) and different loaders." + }, + { + "left": "pull_request:12272", + "right": "pull_request:12566", + "accept": false, + "reason": "Both touch modular Flux pipelines, but one fixes height/width propagation and the other adds tests/memory-info handling; separate changes." + }, + { + "left": "pull_request:5914", + "right": "pull_request:6035", + "accept": false, + "reason": "Both are lightweight DreamBooth SDXL docs/script tweaks, but they address different text and different purposes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 6, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10179", + "pull_request:10199", + "pull_request:10298", + "pull_request:10437", + "pull_request:10508", + "pull_request:10570", + "pull_request:10985", + "pull_request:11292", + "pull_request:1194", + "pull_request:12737", + "pull_request:12909", + "pull_request:1307", + "pull_request:3633", + "pull_request:3795", + "pull_request:3979", + "pull_request:4607", + "pull_request:5052", + "pull_request:5175", + "pull_request:5506", + "pull_request:5508", + "pull_request:5608", + "pull_request:5906", + "pull_request:6021", + "pull_request:6119", + "pull_request:6279", + "pull_request:6402", + "pull_request:6511", + "pull_request:6523", + "pull_request:6526", + "pull_request:6556", + "pull_request:6588", + "pull_request:6589", + "pull_request:6757", + "pull_request:6795", + "pull_request:6816", + "pull_request:6848", + "pull_request:7018", + "pull_request:7124", + "pull_request:7235", + "pull_request:7258", + "pull_request:8819", + "pull_request:9255", + "pull_request:9355", + "pull_request:9400", + "pull_request:9401", + "pull_request:9593", + "pull_request:9714", + "pull_request:9715" + ], + "soft_pairs": [ + "pull_request:6119|pull_request:7018", + "pull_request:10985|pull_request:11292", + "pull_request:10179|pull_request:10199", + "pull_request:10570|pull_request:9255", + "pull_request:1194|pull_request:1307", + "pull_request:3633|pull_request:5175", + "pull_request:3979|pull_request:5906", + "pull_request:5052|pull_request:6556", + "pull_request:6523|pull_request:6848", + "pull_request:6526|pull_request:6589", + "pull_request:9593|pull_request:9714", + "pull_request:6119|pull_request:6402", + "pull_request:6511|pull_request:6526", + "pull_request:12737|pull_request:12909", + "pull_request:9593|pull_request:9715", + "pull_request:10437|pull_request:9401", + "pull_request:10508|pull_request:9400", + "pull_request:10570|pull_request:9355", + "pull_request:3795|pull_request:4607", + "pull_request:6021|pull_request:6795", + "pull_request:6279|pull_request:6523", + "pull_request:6588|pull_request:6757", + "pull_request:7124|pull_request:7258", + "pull_request:9400|pull_request:9401", + "pull_request:5506|pull_request:5608", + "pull_request:6816|pull_request:7235", + "pull_request:5508|pull_request:6021", + "pull_request:10298|pull_request:8819" + ], + "prepared_review_unit_hash": "598ad5a08d02bef328e9b8ededf141a3de6573489ee4a12c49f97b6a317de080", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 100842, + "estimated_input_tokens": 25211, + "estimated_eval_tokens": 50678 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The packet is mostly a grab bag of unrelated PRs. The only plausible duplicate-like pair is the auraflow docstring refactor family (9714/9715), but the provided soft-edge pairs all cross to unrelated PRs like 9593, so every soft edge should be rejected.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9715 is the best cluster representative because it is the clearest auraflow docstring-refactor candidate and appears to be the same change family as 9714; the rest of the packet is unrelated.", + "best_issue_reason": null, + "best_pr_reason": "PR 9715 is the strongest global PR choice for the same reason: it is the only item that looks like part of a true duplicate pair, while the other PRs are mostly unrelated fixes, tests, or docs churn.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6119", + "right": "pull_request:7018", + "accept": false, + "reason": "Both are training-script fixes, but they address different bugs: fp16 gradient unscaling vs. LoRA/PEFT state-dict handling." + }, + { + "left": "pull_request:10985", + "right": "pull_request:11292", + "accept": false, + "reason": "Same LoRA utility file, but different changes: ComfyUI/Flux LoRA support vs. filtering mixed SGM/SDXL keys." + }, + { + "left": "pull_request:10179", + "right": "pull_request:10199", + "accept": false, + "reason": "Same community example, but one is doc/example cleanup and the other adds eta decay behavior; not the same bug or change." + }, + { + "left": "pull_request:10570", + "right": "pull_request:9255", + "accept": false, + "reason": "Both touch push_tests.yml, but one rotates the HF token secret while the other changes workflow triggers/job naming." + }, + { + "left": "pull_request:1194", + "right": "pull_request:1307", + "accept": false, + "reason": "These are opposite directions on the same docs workflow change; one updates actions, the other reverts it." + }, + { + "left": "pull_request:3633", + "right": "pull_request:5175", + "accept": false, + "reason": "One pins huggingface-hub in setup.py; the other adds HF_HOME to CI. Different experiments, not duplicates." + }, + { + "left": "pull_request:3979", + "right": "pull_request:5906", + "accept": false, + "reason": "One is an SDXL pipeline bug fix, the other is a DreamBooth README/template tweak; unrelated changes." + }, + { + "left": "pull_request:5052", + "right": "pull_request:6556", + "accept": false, + "reason": "Different training scripts and goals: Wuerstchen text-to-image training vs. SDXL LoRA torch.compile compatibility." + }, + { + "left": "pull_request:6523", + "right": "pull_request:6848", + "accept": false, + "reason": "Both are LCM distillation-related, but they fix different initialization problems in different spots of the scripts." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6589", + "accept": false, + "reason": "Both are compile-compatibility fixes, but for different scripts and hook logic; not one concrete code-path bug." + }, + { + "left": "pull_request:9593", + "right": "pull_request:9714", + "accept": false, + "reason": "Factual mismatch: 9593 is a docstring refactor in examples/community/hd_painter.py, while 9714 is a docstring refactor in src/diffusers/models/transformers/auraflow_transformer_2d.py." + }, + { + "left": "pull_request:6119", + "right": "pull_request:6402", + "accept": false, + "reason": "Both are LoRA training fixes, but one fixes fp16 gradient unscale behavior and the other fixes gradient checkpointing being ignored." + }, + { + "left": "pull_request:6511", + "right": "pull_request:6526", + "accept": false, + "reason": "Same torch.compile theme, but different training scripts and different save/load hook changes." + }, + { + "left": "pull_request:12737", + "right": "pull_request:12909", + "accept": false, + "reason": "Different model code paths: FLUX.2 context parallel vs. WAN i2v context parallel." + }, + { + "left": "pull_request:9593", + "right": "pull_request:9715", + "accept": false, + "reason": "Factual mismatch again: 9593 is hd_painter docs cleanup, while 9715 is the auraflow transformer docstring refactor." + }, + { + "left": "pull_request:10437", + "right": "pull_request:9401", + "accept": false, + "reason": "Both are device-agnostic test work, but one is a broad test-device update and the other is a single-file test sweep." + }, + { + "left": "pull_request:10508", + "right": "pull_request:9400", + "accept": false, + "reason": "Same accelerator-testing theme, but different scopes and test suites; not the same concrete change." + }, + { + "left": "pull_request:10570", + "right": "pull_request:9355", + "accept": false, + "reason": "Same workflow file, but one updates secrets and the other adds workflow_dispatch/release-branch triggers." + }, + { + "left": "pull_request:3795", + "right": "pull_request:4607", + "accept": false, + "reason": "Both are docs overview updates, but they add different content for different API areas." + }, + { + "left": "pull_request:6021", + "right": "pull_request:6795", + "accept": false, + "reason": "Same SDXL DreamBooth area, but one adds a variant arg and the other adds micro-conditioning; separate features." + }, + { + "left": "pull_request:6279", + "right": "pull_request:6523", + "accept": false, + "reason": "Both are LCM distillation fixes, but one targets multi-GPU guidance embeddings and the other target U-Net initialization." + }, + { + "left": "pull_request:6588", + "right": "pull_request:6757", + "accept": false, + "reason": "One updates a slow test baseline; the other changes sigma placement in the k-diffusion pipeline. Different issues." + }, + { + "left": "pull_request:7124", + "right": "pull_request:7258", + "accept": false, + "reason": "Both touch the SDXL DreamBooth script, but one fixes a kwarg while the other changes save_model_card/playground handling." + }, + { + "left": "pull_request:9400", + "right": "pull_request:9401", + "accept": false, + "reason": "Same broad device-agnostic theme, but different test suites and different helper changes; not mergeable as one PR." + }, + { + "left": "pull_request:5506", + "right": "pull_request:5608", + "accept": false, + "reason": "Different LoRA bugs: PEFT+xformers scale handling vs. empty network_alpha handling." + }, + { + "left": "pull_request:6816", + "right": "pull_request:7235", + "accept": false, + "reason": "One fixes DDP+PEFT behavior in SDXL LoRA training; the other adds DoRA training support." + }, + { + "left": "pull_request:9400", + "right": "pull_request:9401", + "accept": false, + "reason": "Reiterating the same point: related test-device work, but different suites and scopes, so not duplicates." + }, + { + "left": "pull_request:10298", + "right": "pull_request:8819", + "accept": false, + "reason": "Different loading features in different areas: GGUF support for LTX vs. single-file loading for AnimateDiff." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "Reject: one soft-edge verdict is not grounded. The analyst accepted pull_request:9593 vs pull_request:9714 with the reason that they are the 'same file,' but the packet shows 9593 is `examples/community/hd_painter.py` while 9714 is `src/diffusers/models/transformers/auraflow_transformer_2d.py`. That is a factual mismatch. The rest of the writeup is mostly conservative, but this incorrect duplicate claim means the result should not be accepted." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 7, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10183", + "pull_request:10268", + "pull_request:10298", + "pull_request:11358", + "pull_request:11426", + "pull_request:11427", + "pull_request:11463", + "pull_request:11472", + "pull_request:11747", + "pull_request:12407", + "pull_request:1418", + "pull_request:1682", + "pull_request:1898", + "pull_request:2154", + "pull_request:2336", + "pull_request:288", + "pull_request:359", + "pull_request:3642", + "pull_request:3945", + "pull_request:4596", + "pull_request:4946", + "pull_request:4947", + "pull_request:5052", + "pull_request:6035", + "pull_request:6511", + "pull_request:6525", + "pull_request:6532", + "pull_request:6555", + "pull_request:6589", + "pull_request:6795", + "pull_request:6851", + "pull_request:6875", + "pull_request:6960", + "pull_request:7233", + "pull_request:7235", + "pull_request:7260", + "pull_request:7467", + "pull_request:7984", + "pull_request:7988", + "pull_request:8725", + "pull_request:8810", + "pull_request:8864", + "pull_request:8926", + "pull_request:912", + "pull_request:9463", + "pull_request:9917", + "pull_request:9993" + ], + "soft_pairs": [ + "pull_request:6525|pull_request:6589", + "pull_request:10183|pull_request:10298", + "pull_request:11426|pull_request:12407", + "pull_request:11427|pull_request:12407", + "pull_request:11463|pull_request:11472", + "pull_request:1418|pull_request:2336", + "pull_request:1898|pull_request:2154", + "pull_request:3945|pull_request:6035", + "pull_request:4946|pull_request:4947", + "pull_request:6035|pull_request:7467", + "pull_request:6875|pull_request:6960", + "pull_request:8810|pull_request:9917", + "pull_request:8864|pull_request:9917", + "pull_request:8725|pull_request:9463", + "pull_request:6795|pull_request:7233", + "pull_request:7235|pull_request:8926", + "pull_request:8926|pull_request:9993", + "pull_request:6851|pull_request:7260", + "pull_request:6511|pull_request:6532", + "pull_request:6795|pull_request:7235", + "pull_request:10268|pull_request:10298", + "pull_request:11358|pull_request:11747", + "pull_request:1682|pull_request:912", + "pull_request:288|pull_request:359", + "pull_request:3642|pull_request:4596", + "pull_request:5052|pull_request:6555", + "pull_request:6525|pull_request:7984", + "pull_request:6525|pull_request:7988" + ], + "prepared_review_unit_hash": "3437586443e45bc8e0feebe029e6a07ae902f0da10522a2ad6c1f18405788be9", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 101135, + "estimated_input_tokens": 25284, + "estimated_eval_tokens": 50824 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most PRs in this set are unrelated one-off changes. The only strong overlap is a small PAG ControlNet Img2Img cluster, plus a separate HiDream license-header cleanup and one IP-Adapter test flake pair. Everything else is too broad or too different to treat as duplicates.", + "confidence": 0.63, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9917 is the best representative of the PAG ControlNet Img2Img cluster: it is the broadest/most current variant, shares the same pipeline file set as the other PAG Img2Img PRs, and has an explicit issue target.", + "best_issue_reason": null, + "best_pr_reason": "PR 9917 is the strongest overall representative among the candidates because it is the most directly scoped and issue-linked duplicate-style PR in the largest coherent cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6525", + "right": "pull_request:6589", + "accept": false, + "reason": "Same general torch.compile theme, but they fix different training scripts and different save/unwrap paths; not the same concrete change." + }, + { + "left": "pull_request:10183", + "right": "pull_request:10298", + "accept": false, + "reason": "Both add single-file support, but for different models/formats (AutoencoderDC vs LTX GGUF); shared loader code is too broad to treat as duplicate." + }, + { + "left": "pull_request:11426", + "right": "pull_request:12407", + "accept": false, + "reason": "Interpolation-mode training-script follow-up versus UV-compatibility updates across many examples; unrelated changes." + }, + { + "left": "pull_request:11427", + "right": "pull_request:12407", + "accept": false, + "reason": "Different training-script interpolation tweak versus UV-compatibility doc/script changes; not the same underlying bug or change." + }, + { + "left": "pull_request:11463", + "right": "pull_request:11472", + "accept": false, + "reason": "Both touch image interpolation defaults, but in different example scripts and with different scopes; not one mergeable change." + }, + { + "left": "pull_request:1418", + "right": "pull_request:2336", + "accept": false, + "reason": "Both are Versatile Diffusion test fixes, but they address separate test cleanups and resource URL changes rather than one shared bug." + }, + { + "left": "pull_request:1898", + "right": "pull_request:2154", + "accept": false, + "reason": "Same CLI file, but one adds version reporting and the other fixes a typo; distinct fixes." + }, + { + "left": "pull_request:3945", + "right": "pull_request:6035", + "accept": false, + "reason": "Dreambooth LoRA rank support versus help-text/docs cleanup; different changes." + }, + { + "left": "pull_request:4946", + "right": "pull_request:4947", + "accept": false, + "reason": "One updates docs overview, the other adds tests and script wiring; not the same concrete code-path problem." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7467", + "accept": false, + "reason": "Help-text wording change versus adding tag shuffling/drop augmentation; unrelated." + }, + { + "left": "pull_request:6875", + "right": "pull_request:6960", + "accept": true, + "reason": "Both target the same flaky IP-Adapter test file/test case; the later PR is a follow-up stabilization of the same underlying test failure." + }, + { + "left": "pull_request:8810", + "right": "pull_request:9917", + "accept": true, + "reason": "Same PAG ControlNet Img2Img pipeline addition with the same core file set; the broader PR 9917 looks like a later, more complete version of the same feature." + }, + { + "left": "pull_request:8864", + "right": "pull_request:9917", + "accept": true, + "reason": "Same PAG ControlNet Img2Img pipeline/code path; these are effectively overlapping implementations of the same feature addition." + }, + { + "left": "pull_request:8725", + "right": "pull_request:9463", + "accept": false, + "reason": "Both add PAG support, but for different pipeline variants (SD architecture vs SD Img2Img); too broad to merge as duplicates." + }, + { + "left": "pull_request:6795", + "right": "pull_request:7233", + "accept": false, + "reason": "Different Dreambooth LoRA changes: micro-conditioning versus DoRA support." + }, + { + "left": "pull_request:7235", + "right": "pull_request:8926", + "accept": false, + "reason": "DoRA training feature versus checkpoint-save fix; different problem and code path." + }, + { + "left": "pull_request:8926", + "right": "pull_request:9993", + "accept": false, + "reason": "Both are checkpoint-save fixes, but for different training scripts and models; not the same concrete change." + }, + { + "left": "pull_request:6851", + "right": "pull_request:7260", + "accept": false, + "reason": "PIA single-file/IP-Adapter support versus SAG IP-Adapter support; separate pipeline implementations." + }, + { + "left": "pull_request:6511", + "right": "pull_request:6532", + "accept": false, + "reason": "Both address torch.compile compatibility, but in different training scripts and wrapper logic." + }, + { + "left": "pull_request:6795", + "right": "pull_request:7235", + "accept": false, + "reason": "Micro-conditioning addition versus DoRA documentation/feature work; unrelated." + }, + { + "left": "pull_request:10268", + "right": "pull_request:10298", + "accept": false, + "reason": "Shared single-file loader utilities, but the changes target different model support paths and are not the same feature." + }, + { + "left": "pull_request:11358", + "right": "pull_request:11747", + "accept": true, + "reason": "Both are about adding the missing HiDream license header; 11747 is a narrower implementation of the same license cleanup." + }, + { + "left": "pull_request:1682", + "right": "pull_request:912", + "accept": false, + "reason": "Both are version bumps, but for different releases and surrounding code changes; not a duplicate change." + }, + { + "left": "pull_request:288", + "right": "pull_request:359", + "accept": false, + "reason": "Type-hint cleanups in different Karras VE files (pipeline vs scheduler); not the same change." + }, + { + "left": "pull_request:3642", + "right": "pull_request:4596", + "accept": false, + "reason": "TensorRT inpaint pipeline addition versus SDXL conversion script; unrelated." + }, + { + "left": "pull_request:5052", + "right": "pull_request:6555", + "accept": false, + "reason": "Wuerstchen training script addition versus text-to-image LoRA compile-compatibility work; different areas and goals." + }, + { + "left": "pull_request:6525", + "right": "pull_request:7984", + "accept": false, + "reason": "Both mention torch.compile compatibility, but one is ControlNet training and the other is VAE decoding; separate code paths." + }, + { + "left": "pull_request:6525", + "right": "pull_request:7988", + "accept": false, + "reason": "Different code paths: ControlNet training save hooks versus IPAdapter layer iteration changes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The duplicate/overlap calls mostly track shared files and closely aligned scopes, and the non-duplicate verdicts avoid overclaiming equivalence when the patches touch different scripts, models, or bug classes. The PAG ControlNet Img2Img cluster, the IP-Adapter test pair, and the HiDream license-header cleanup are all supported by the provided diffs." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 8, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10077", + "pull_request:10298", + "pull_request:10633", + "pull_request:10991", + "pull_request:11271", + "pull_request:11550", + "pull_request:12215", + "pull_request:12325", + "pull_request:288", + "pull_request:325", + "pull_request:3642", + "pull_request:3952", + "pull_request:4595", + "pull_request:5057", + "pull_request:5175", + "pull_request:5517", + "pull_request:5914", + "pull_request:5938", + "pull_request:6035", + "pull_request:6303", + "pull_request:644", + "pull_request:645", + "pull_request:6511", + "pull_request:6534", + "pull_request:6556", + "pull_request:6566", + "pull_request:6691", + "pull_request:6816", + "pull_request:6968", + "pull_request:7233", + "pull_request:7258", + "pull_request:754", + "pull_request:7580", + "pull_request:7797", + "pull_request:7803", + "pull_request:7804", + "pull_request:7833", + "pull_request:7846", + "pull_request:869", + "pull_request:8755", + "pull_request:8770", + "pull_request:8775", + "pull_request:8926", + "pull_request:8973", + "pull_request:8983", + "pull_request:8987", + "pull_request:9483", + "pull_request:9787" + ], + "soft_pairs": [ + "pull_request:754|pull_request:869", + "pull_request:5517|pull_request:6303", + "pull_request:8973|pull_request:8987", + "pull_request:6691|pull_request:6968", + "pull_request:6816|pull_request:7233", + "pull_request:10633|pull_request:9787", + "pull_request:10298|pull_request:11550", + "pull_request:6511|pull_request:6534", + "pull_request:644|pull_request:645", + "pull_request:5057|pull_request:5938", + "pull_request:12215|pull_request:12325", + "pull_request:10077|pull_request:11271", + "pull_request:10298|pull_request:10991", + "pull_request:288|pull_request:325", + "pull_request:3642|pull_request:4595", + "pull_request:3952|pull_request:5175", + "pull_request:5914|pull_request:6556", + "pull_request:6035|pull_request:7258", + "pull_request:6566|pull_request:8755", + "pull_request:7580|pull_request:7797", + "pull_request:7580|pull_request:7803", + "pull_request:7580|pull_request:7804", + "pull_request:7580|pull_request:7833", + "pull_request:7580|pull_request:7846", + "pull_request:8770|pull_request:8775", + "pull_request:8983|pull_request:9483", + "pull_request:7233|pull_request:8926" + ], + "prepared_review_unit_hash": "9cf7625171687ad55045c95bc909e02ebfc7e29a7dd4e2af269ef44fb825a356", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 97579, + "estimated_input_tokens": 24395, + "estimated_eval_tokens": 49046 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous PRs that share broad themes or files but not the same concrete change. I only see two true duplicates: the textual inversion periodic-save PRs (644/645) and likely the community pipeline import-bug fixes (754/869).", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents the whole cluster, but PR 645 is the strongest canonical anchor because it is the merged, cleaner version of the exact same textual-inversion save-progress change as PR 644.", + "best_issue_reason": null, + "best_pr_reason": "PR 645 is the best standalone PR candidate in this set: it is merged and most clearly supersedes another PR with the same concrete functionality.", + "soft_edge_verdicts": [ + { + "left": "pull_request:754", + "right": "pull_request:869", + "accept": true, + "reason": "Both appear to fix the same community-pipeline dynamic module import bug in `dynamic_modules_utils.py`; the extra README/lower-memory edits do not change the underlying bug match." + }, + { + "left": "pull_request:5517", + "right": "pull_request:6303", + "accept": false, + "reason": "Different training scripts for different methods (LCM vs ADD); same general area, but not the same change." + }, + { + "left": "pull_request:8973", + "right": "pull_request:8987", + "accept": false, + "reason": "One reduces Lumina test size; the other adds Lumina transformer test coverage. Related area, different work." + }, + { + "left": "pull_request:6691", + "right": "pull_request:6968", + "accept": false, + "reason": "Both touch the advanced SDXL DreamBooth LoRA script, but they address different bugs/features and are not the same concrete fix." + }, + { + "left": "pull_request:6816", + "right": "pull_request:7233", + "accept": false, + "reason": "Same file, but one is DDP+PEFT compatibility and the other adds DoRA support; not duplicate changes." + }, + { + "left": "pull_request:10633", + "right": "pull_request:9787", + "accept": false, + "reason": "Docs example vs full Flux IP-Adapter feature implementation; not the same PR change." + }, + { + "left": "pull_request:10298", + "right": "pull_request:11550", + "accept": false, + "reason": "Both add single-file/GGUF support, but for different models (LTX vs HiDream), so they are not duplicates." + }, + { + "left": "pull_request:6511", + "right": "pull_request:6534", + "accept": false, + "reason": "Both are compile-compatibility fixes, but they target different training scripts and code paths." + }, + { + "left": "pull_request:644", + "right": "pull_request:645", + "accept": true, + "reason": "These implement the same textual-inversion periodic embedding save feature; 645 is the cleaner merged follow-up to 644." + }, + { + "left": "pull_request:5057", + "right": "pull_request:5938", + "accept": false, + "reason": "Clip-skip support for SDXL ControlNet vs ControlNet LoRA support; different functionality." + }, + { + "left": "pull_request:12215", + "right": "pull_request:12325", + "accept": false, + "reason": "Both concern Qwen-Image ControlNet, but one is base Qwen-Image and the other is Qwen-Image-Edit; different pipelines and code paths." + }, + { + "left": "pull_request:10077", + "right": "pull_request:11271", + "accept": false, + "reason": "Both are single-file fixes, but for different model families (SD3.5 vs LTX 0.9.5)." + }, + { + "left": "pull_request:288", + "right": "pull_request:325", + "accept": false, + "reason": "Both are type-hint cleanups for different old pipelines; not the same bug or change." + }, + { + "left": "pull_request:3642", + "right": "pull_request:4595", + "accept": false, + "reason": "Different feature work: TensorRT inpainting pipeline vs a WIP XL-to-original-SD conversion project." + }, + { + "left": "pull_request:3952", + "right": "pull_request:5175", + "accept": false, + "reason": "One pins a dependency for testing, the other changes HF_HOME in CI; unrelated." + }, + { + "left": "pull_request:5914", + "right": "pull_request:6556", + "accept": false, + "reason": "Readme-template cleanup vs torch.compile compatibility fix; not the same underlying issue." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7258", + "accept": false, + "reason": "Help-text/docs improvement vs save_model_card logic fix; same script, different changes." + }, + { + "left": "pull_request:6566", + "right": "pull_request:8755", + "accept": false, + "reason": "Different DreamBooth/LoRA scripts and different bugs; not duplicates." + }, + { + "left": "pull_request:7580", + "right": "pull_request:7797", + "accept": false, + "reason": "Both reduce fast-test model sizes, but for different pipeline tests." + }, + { + "left": "pull_request:7580", + "right": "pull_request:7803", + "accept": false, + "reason": "Both reduce fast-test model sizes, but for different pipeline tests." + }, + { + "left": "pull_request:7580", + "right": "pull_request:7804", + "accept": false, + "reason": "Both reduce fast-test model sizes, but for different pipeline tests." + }, + { + "left": "pull_request:7580", + "right": "pull_request:7833", + "accept": false, + "reason": "Both reduce fast-test model sizes, but for different pipeline tests." + }, + { + "left": "pull_request:7580", + "right": "pull_request:7846", + "accept": false, + "reason": "Both reduce fast-test model sizes, but for different pipeline tests." + }, + { + "left": "pull_request:8770", + "right": "pull_request:8775", + "accept": false, + "reason": "Both are README-only updates, but one adds InstantID and the other adds a Colab link." + }, + { + "left": "pull_request:8983", + "right": "pull_request:9483", + "accept": false, + "reason": "Different CI/test maintenance changes; not the same fix." + }, + { + "left": "pull_request:7233", + "right": "pull_request:8926", + "accept": false, + "reason": "DoRA feature work vs checkpoint-save bug fix in a different advanced script; not duplicate." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and the soft-edge decisions are mostly conservative. The two accepted pairs are plausibly mergeable as same bugfix families, especially 754/869 and 644/645, and the rejections are well supported by differing files/features. One minor nuance: 644/645 are similar rather than literally identical, but the core textual-inversion save-progress change is still the same enough to justify acceptance." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 9, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1012", + "pull_request:10991", + "pull_request:11059", + "pull_request:11175", + "pull_request:12170", + "pull_request:12301", + "pull_request:12325", + "pull_request:12496", + "pull_request:12909", + "pull_request:2237", + "pull_request:3127", + "pull_request:3201", + "pull_request:3265", + "pull_request:344", + "pull_request:346", + "pull_request:3686", + "pull_request:4495", + "pull_request:4498", + "pull_request:4621", + "pull_request:4862", + "pull_request:4946", + "pull_request:5090", + "pull_request:5448", + "pull_request:5559", + "pull_request:5993", + "pull_request:6004", + "pull_request:6021", + "pull_request:6035", + "pull_request:6099", + "pull_request:6330", + "pull_request:6511", + "pull_request:6525", + "pull_request:6556", + "pull_request:6566", + "pull_request:6691", + "pull_request:6764", + "pull_request:6795", + "pull_request:6864", + "pull_request:7072", + "pull_request:7124", + "pull_request:7166", + "pull_request:7182", + "pull_request:7196", + "pull_request:7233", + "pull_request:7984", + "pull_request:7988", + "pull_request:9754", + "pull_request:9806" + ], + "soft_pairs": [ + "pull_request:5448|pull_request:5559", + "pull_request:4946|pull_request:7196", + "pull_request:6511|pull_request:6556", + "pull_request:6004|pull_request:6330", + "pull_request:6035|pull_request:6691", + "pull_request:5993|pull_request:6099", + "pull_request:6795|pull_request:7072", + "pull_request:11059|pull_request:12170", + "pull_request:12301|pull_request:12325", + "pull_request:1012|pull_request:2237", + "pull_request:10991|pull_request:11175", + "pull_request:3201|pull_request:3686", + "pull_request:3265|pull_request:3686", + "pull_request:344|pull_request:346", + "pull_request:4495|pull_request:4498", + "pull_request:6021|pull_request:7233", + "pull_request:6511|pull_request:6525", + "pull_request:6511|pull_request:7984", + "pull_request:6511|pull_request:7988", + "pull_request:6566|pull_request:7182", + "pull_request:7124|pull_request:7166", + "pull_request:9754|pull_request:9806", + "pull_request:3127|pull_request:4862", + "pull_request:4621|pull_request:5090", + "pull_request:6764|pull_request:6864", + "pull_request:12496|pull_request:12909" + ], + "prepared_review_unit_hash": "6d8045325c1a308f27d411280f66dacea776283a55d3ea34d1b3de75f85384cc", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 98705, + "estimated_input_tokens": 24677, + "estimated_eval_tokens": 49610 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a loose topical grouping, not a true duplicate cluster: the PRs span unrelated features, docs, and bug fixes across DreamBooth, Wan, Qwen, LCM, VAE, ControlNet, and training scripts. None of the soft edges looks like the same underlying change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:5448", + "right": "pull_request:5559", + "accept": false, + "reason": "Both are LCM-related, but one adds the base pipeline and scheduler docs while the other is an img2img WIP; different code paths and change scope." + }, + { + "left": "pull_request:4946", + "right": "pull_request:7196", + "accept": false, + "reason": "Unrelated training docs: one updates the overview, the other adds IP-Adapter training scripts and docs." + }, + { + "left": "pull_request:6511", + "right": "pull_request:6556", + "accept": false, + "reason": "Same torch.compile theme, but they fix different training scripts and save/load paths; not one mergeable change." + }, + { + "left": "pull_request:6004", + "right": "pull_request:6330", + "accept": false, + "reason": "Both touch SVD docs, but they fix different documentation issues and outputs." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6691", + "accept": false, + "reason": "The advanced SDXL training README and the later training-feature PR are not the same bug/change." + }, + { + "left": "pull_request:5993", + "right": "pull_request:6099", + "accept": false, + "reason": "Both are superclass-argument fixes, but for different pipelines and constructors." + }, + { + "left": "pull_request:6795", + "right": "pull_request:7072", + "accept": false, + "reason": "Different SDXL training features: micro-conditioning versus DoRA support." + }, + { + "left": "pull_request:11059", + "right": "pull_request:12170", + "accept": false, + "reason": "Both are LoRA conversion updates, but for different model families and conversion logic." + }, + { + "left": "pull_request:12301", + "right": "pull_request:12325", + "accept": false, + "reason": "Separate Qwen-Image pipelines (ControlNet vs Edit-ControlNet); related area but different concrete features." + }, + { + "left": "pull_request:1012", + "right": "pull_request:2237", + "accept": false, + "reason": "Both are DreamBooth script changes, but one sets text encoder train mode and the other splits learning rates." + }, + { + "left": "pull_request:10991", + "right": "pull_request:11175", + "accept": false, + "reason": "Wan single-file loading and WAN I2V image-embedding support are distinct pipeline features." + }, + { + "left": "pull_request:3201", + "right": "pull_request:3686", + "accept": false, + "reason": "A revert of a community pipeline change is unrelated to the IPEX pipeline update." + }, + { + "left": "pull_request:3265", + "right": "pull_request:3686", + "accept": false, + "reason": "Same as above: a revert sequence versus an IPEX pipeline update are not the same underlying change." + }, + { + "left": "pull_request:344", + "right": "pull_request:346", + "accept": false, + "reason": "Both are VAE type-hint edits, but one is broad typing cleanup and the other is a specific signature annotation." + }, + { + "left": "pull_request:4495", + "right": "pull_request:4498", + "accept": false, + "reason": "The first creates the SDXL reference pipeline; the second is only a README/docs follow-up." + }, + { + "left": "pull_request:6021", + "right": "pull_request:7233", + "accept": false, + "reason": "Unrelated SDXL DreamBooth LoRA additions: variant loading versus DoRA training support." + }, + { + "left": "pull_request:6511", + "right": "pull_request:6525", + "accept": false, + "reason": "Both address torch.compile compatibility, but in different training scripts and save hooks." + }, + { + "left": "pull_request:6511", + "right": "pull_request:7984", + "accept": false, + "reason": "Training-script compile compatibility and VAE decode compile compatibility are different code paths." + }, + { + "left": "pull_request:6511", + "right": "pull_request:7988", + "accept": false, + "reason": "Same reasoning: different model/component and a different compile workaround." + }, + { + "left": "pull_request:6566", + "right": "pull_request:7182", + "accept": false, + "reason": "Advanced DreamBooth resume-fix work and EDM-style training are separate changes." + }, + { + "left": "pull_request:7124", + "right": "pull_request:7166", + "accept": false, + "reason": "Both are small SDXL LoRA DreamBooth fixes, but they fix different bugs in different sections of the script." + }, + { + "left": "pull_request:9754", + "right": "pull_request:9806", + "accept": false, + "reason": "Shared Flux quantization script, but one adds the script and the other extends optimizer/options; not the same change." + }, + { + "left": "pull_request:3127", + "right": "pull_request:4862", + "accept": false, + "reason": "Different bug fixes in different pipelines: safety checker handling versus MultiControlNet img2img shape handling." + }, + { + "left": "pull_request:4621", + "right": "pull_request:5090", + "accept": false, + "reason": "Same adapter subsystem, but one validates multi-adapter downscale factors and the other fixes weight accumulation behavior." + }, + { + "left": "pull_request:6764", + "right": "pull_request:6864", + "accept": false, + "reason": "Both are PEFT docs notes, but they cover different topics: serialization after fusion vs torch.compile guidance." + }, + { + "left": "pull_request:12496", + "right": "pull_request:12909", + "accept": false, + "reason": "Both are Wan I2V-related, but they fix different issues: latent-frame shape mismatch versus context-parallel behavior." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 10, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10222", + "pull_request:10275", + "pull_request:10359", + "pull_request:10365", + "pull_request:10419", + "pull_request:10464", + "pull_request:10585", + "pull_request:1103", + "pull_request:11325", + "pull_request:11348", + "pull_request:1162", + "pull_request:11731", + "pull_request:11740", + "pull_request:11851", + "pull_request:1230", + "pull_request:12757", + "pull_request:13082", + "pull_request:13254", + "pull_request:13283", + "pull_request:13315", + "pull_request:13335", + "pull_request:13344", + "pull_request:13371", + "pull_request:136", + "pull_request:1394", + "pull_request:1423", + "pull_request:168", + "pull_request:1763", + "pull_request:178", + "pull_request:1795", + "pull_request:2487", + "pull_request:325", + "pull_request:326", + "pull_request:3541", + "pull_request:386", + "pull_request:4632", + "pull_request:4749", + "pull_request:4774", + "pull_request:5057", + "pull_request:715", + "pull_request:7166", + "pull_request:869", + "pull_request:8691", + "pull_request:8797", + "pull_request:912", + "pull_request:934", + "pull_request:936", + "pull_request:9751" + ], + "soft_pairs": [ + "pull_request:7166|pull_request:8691", + "pull_request:325|pull_request:326", + "pull_request:4632|pull_request:4749", + "pull_request:4774|pull_request:5057", + "pull_request:10222|pull_request:10365", + "pull_request:10275|pull_request:10585", + "pull_request:10359|pull_request:8797", + "pull_request:10419|pull_request:11325", + "pull_request:10464|pull_request:9751", + "pull_request:1103|pull_request:136", + "pull_request:11348|pull_request:11851", + "pull_request:1162|pull_request:869", + "pull_request:11731|pull_request:11740", + "pull_request:1230|pull_request:934", + "pull_request:12757|pull_request:13283", + "pull_request:13082|pull_request:13371", + "pull_request:13254|pull_request:13344", + "pull_request:13315|pull_request:13344", + "pull_request:13335|pull_request:13344", + "pull_request:1394|pull_request:912", + "pull_request:1423|pull_request:2487", + "pull_request:168|pull_request:386", + "pull_request:1763|pull_request:3541", + "pull_request:178|pull_request:936", + "pull_request:1795|pull_request:715" + ], + "prepared_review_unit_hash": "0972ebf9f81c6298a3e128bdc9adff0159c6c4a692feee203c5917456a2ac55a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 98174, + "estimated_input_tokens": 24544, + "estimated_eval_tokens": 49344 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set: it mixes unrelated docs, tests, scheduler/utility tweaks, and several separate feature PRs across years. None of the soft-edge pairs look like the same concrete bug fix or mergeable change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a safe canonical because the items span many unrelated topics; forcing one would conflate separate docs/test/feature changes.", + "best_issue_reason": null, + "best_pr_reason": "No clear global best PR for deduplication purposes: the cluster does not share one underlying change, so any PR would be only a weak representative.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7166", + "right": "pull_request:8691", + "accept": false, + "reason": "Both touch LoRA loading, but one is SDXL DreamBooth checkpoint loading and the other is vanilla LoRA-to-UNet loading; different code paths and bug scopes." + }, + { + "left": "pull_request:325", + "right": "pull_request:326", + "accept": false, + "reason": "These are type-hint cleanups for different pipelines (Score SDE VE vs PNDM), not the same change." + }, + { + "left": "pull_request:4632", + "right": "pull_request:4749", + "accept": false, + "reason": "Both are SDXL LoRA/example fixes, but one is checkpointing/casting in text-to-image LoRA training and the other is DreamBooth LoRA checkpoint loading; separate issues." + }, + { + "left": "pull_request:4774", + "right": "pull_request:5057", + "accept": false, + "reason": "One adds negative-condition support for SDXL; the other adds clip-skip support across SDXL pipelines. Same family, different features." + }, + { + "left": "pull_request:10222", + "right": "pull_request:10365", + "accept": false, + "reason": "Both add torch_xla support, but to different pipelines (ControlNet vs AuraFlow) and with different integration points." + }, + { + "left": "pull_request:10275", + "right": "pull_request:10585", + "accept": false, + "reason": "One is licensing-header cleanup across LTX/Mochi files; the other changes Mochi VAE typing. Not the same underlying change." + }, + { + "left": "pull_request:10359", + "right": "pull_request:8797", + "accept": false, + "reason": "One fixes assorted test files; the other adjusts sharding tests. Too broad and unrelated to treat as duplicates." + }, + { + "left": "pull_request:10419", + "right": "pull_request:11325", + "accept": false, + "reason": "Docs-only changes in different areas: scheduler docstrings vs HiDream docstrings." + }, + { + "left": "pull_request:10464", + "right": "pull_request:9751", + "accept": false, + "reason": "Both are NPU/FLUX work, but one targets ControlNet/training-script NPU flash-attention handling and the other targets DreamBooth FLUX NPU setup and model code. Same subsystem, different concrete PRs." + }, + { + "left": "pull_request:1103", + "right": "pull_request:136", + "accept": false, + "reason": "One fixes a model-card URL in a README; the other fixes manifest packaging. No shared bug/change." + }, + { + "left": "pull_request:11348", + "right": "pull_request:11851", + "accept": false, + "reason": "Different documentation updates in different guides: AuraFlow compiler note vs `_keep_in_fp32_modules` note." + }, + { + "left": "pull_request:1162", + "right": "pull_request:869", + "accept": false, + "reason": "Community-pipeline link/docs cleanup vs LoRA loading behavior; unrelated." + }, + { + "left": "pull_request:11731", + "right": "pull_request:11740", + "accept": false, + "reason": "One is docs about compile+offload, the other adds GGUF compile/offload tests. Related theme, but not the same change." + }, + { + "left": "pull_request:1230", + "right": "pull_request:934", + "accept": false, + "reason": "Both address MPS/test reliability, but one is a fast-test generator fix and the other is broader MPS failing tests. Different fixes." + }, + { + "left": "pull_request:12757", + "right": "pull_request:13283", + "accept": false, + "reason": "Both edit the attention backends doc, but one formats the kernels link while the other changes FA3 minimum-support guidance. Distinct doc edits." + }, + { + "left": "pull_request:13082", + "right": "pull_request:13371", + "accept": false, + "reason": "Different refactors for different model families: Wan transformer tests vs Wan autoencoder tests." + }, + { + "left": "pull_request:13254", + "right": "pull_request:13344", + "accept": false, + "reason": "LTX transformer test refactor vs GLM image transformer tests are unrelated." + }, + { + "left": "pull_request:13315", + "right": "pull_request:13344", + "accept": false, + "reason": "Sana transformer test refactor vs GLM image transformer tests are different model areas." + }, + { + "left": "pull_request:13335", + "right": "pull_request:13344", + "accept": false, + "reason": "Cosmos transformer tests vs GLM image transformer tests are unrelated." + }, + { + "left": "pull_request:1394", + "right": "pull_request:912", + "accept": false, + "reason": "Different version bumps for different releases; not duplicates." + }, + { + "left": "pull_request:1423", + "right": "pull_request:2487", + "accept": false, + "reason": "One adds Flax support for SD2 in code; the other adds a JAX/Flax guide in docs. Documentation vs implementation." + }, + { + "left": "pull_request:168", + "right": "pull_request:386", + "accept": false, + "reason": "Stable Diffusion pipeline implementation vs Stable Diffusion docs; not the same artifact or bug." + }, + { + "left": "pull_request:1763", + "right": "pull_request:3541", + "accept": false, + "reason": "Different attention-mask fixes in different places: Versatile attention vs DreamBooth collate logic." + }, + { + "left": "pull_request:178", + "right": "pull_request:936", + "accept": false, + "reason": "One adds stable diffusion tests; the other reorganizes stable diffusion tests and pipeline registration. Related area, but not the same concrete change." + }, + { + "left": "pull_request:1795", + "right": "pull_request:715", + "accept": false, + "reason": "Both are optional-backend/import-related, but one fixes JAX-installed OOM behavior in a Flax scheduler and the other gates testing-utils imports when PyTorch is absent." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 11, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1960", + "pull_request:2487", + "pull_request:2539", + "pull_request:2559", + "pull_request:2604", + "pull_request:2757", + "pull_request:2839", + "pull_request:2887", + "pull_request:3166", + "pull_request:3168", + "pull_request:3170", + "pull_request:3525", + "pull_request:3633", + "pull_request:3680", + "pull_request:3687", + "pull_request:3819", + "pull_request:4113", + "pull_request:4145", + "pull_request:4258", + "pull_request:4317", + "pull_request:4330", + "pull_request:4339", + "pull_request:4472", + "pull_request:4574", + "pull_request:4626", + "pull_request:4717", + "pull_request:5411", + "pull_request:5720", + "pull_request:5721", + "pull_request:5838", + "pull_request:6106", + "pull_request:6122", + "pull_request:6282", + "pull_request:6837", + "pull_request:7360", + "pull_request:7425", + "pull_request:7903", + "pull_request:7910", + "pull_request:8064", + "pull_request:8483", + "pull_request:874", + "pull_request:8775", + "pull_request:889", + "pull_request:8923", + "pull_request:897", + "pull_request:9386", + "pull_request:9553" + ], + "soft_pairs": [ + "pull_request:1960|pull_request:3525", + "pull_request:2487|pull_request:889", + "pull_request:2539|pull_request:4339", + "pull_request:2559|pull_request:4717", + "pull_request:2604|pull_request:3680", + "pull_request:2757|pull_request:4113", + "pull_request:2839|pull_request:3819", + "pull_request:2887|pull_request:4317", + "pull_request:3166|pull_request:5411", + "pull_request:3168|pull_request:3687", + "pull_request:3170|pull_request:3633", + "pull_request:3170|pull_request:4145", + "pull_request:4258|pull_request:4472", + "pull_request:4317|pull_request:6106", + "pull_request:4317|pull_request:6282", + "pull_request:4330|pull_request:4574", + "pull_request:4574|pull_request:4626", + "pull_request:5720|pull_request:6122", + "pull_request:5721|pull_request:5838", + "pull_request:6106|pull_request:6282", + "pull_request:6837|pull_request:7360", + "pull_request:6837|pull_request:7910", + "pull_request:7360|pull_request:7425", + "pull_request:7903|pull_request:8923", + "pull_request:8064|pull_request:8923", + "pull_request:8483|pull_request:9386", + "pull_request:874|pull_request:897", + "pull_request:8775|pull_request:9553" + ], + "prepared_review_unit_hash": "434d9e2e59d019e646b92e65a569046ff4449d6f17b71d2fc3f10cb8c4a83d66", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 94782, + "estimated_input_tokens": 23696, + "estimated_eval_tokens": 47648 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly superficial similarity: docs/test/readme PRs across unrelated files plus a few distinct feature/fix PRs. I do not see any soft pair that cleanly represents the same underlying change.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear duplicate group emerges; if one PR must anchor the cluster, 8483 is the most substantial and well-linked change, but it is still unrelated to most others.", + "best_issue_reason": null, + "best_pr_reason": "8483 is the strongest standalone PR in the set: large, feature-complete, explicit issue-linked, and with broad review signal. The rest are narrower docs or test tweaks.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1960", + "right": "pull_request:3525", + "accept": false, + "reason": "Both touch README docs, but one updates ColossalAI setup instructions while the other makes unrelated top-level README edits; different content and purpose." + }, + { + "left": "pull_request:2487", + "right": "pull_request:889", + "accept": false, + "reason": "One adds a JAX/Flax guide, the other adds DiffusionPipeline components support; different docs versus code/API change." + }, + { + "left": "pull_request:2539", + "right": "pull_request:4339", + "accept": false, + "reason": "Both adjust default guidance-scale doc text, but they apply to different pipelines and different values; not the same change." + }, + { + "left": "pull_request:2559", + "right": "pull_request:4717", + "accept": false, + "reason": "Both are docs fixes, but one fixes ControlNet overview links while the other fixes a controlnet training doc tip/tag issue; different pages and bugs." + }, + { + "left": "pull_request:2604", + "right": "pull_request:3680", + "accept": false, + "reason": "Both fix docs links, but they target different pages and different link issues; not the same underlying edit." + }, + { + "left": "pull_request:2757", + "right": "pull_request:4113", + "accept": false, + "reason": "Both are stable-diffusion pipeline fixes, but one is depth batching and the other is SDXL inpaint dtype handling; different code paths and bugs." + }, + { + "left": "pull_request:2839", + "right": "pull_request:3819", + "accept": false, + "reason": "Same file, but one adds examples to the README and the other adds a FAQ section; unrelated documentation changes." + }, + { + "left": "pull_request:2887", + "right": "pull_request:4317", + "accept": false, + "reason": "One changes ControlNet validation batching, the other changes Dreambooth tracker config handling; different scripts and problems." + }, + { + "left": "pull_request:3166", + "right": "pull_request:5411", + "accept": false, + "reason": "One fixes a textual inversion usage example, the other fixes a broken training-doc link and touches AltDiffusion code; not the same change." + }, + { + "left": "pull_request:3168", + "right": "pull_request:3687", + "accept": false, + "reason": "Both are doc-builder test-style edits to the homepage title, but they are separate dummy text changes rather than one shared fix." + }, + { + "left": "pull_request:3170", + "right": "pull_request:3633", + "accept": false, + "reason": "Both pin huggingface-hub in setup.py, but to different versions for different test purposes; not mergeable as one concrete change." + }, + { + "left": "pull_request:3170", + "right": "pull_request:4145", + "accept": false, + "reason": "A dependency pin in setup.py is unrelated to commenting out UnCLIP constructor modules; different artifacts and intent." + }, + { + "left": "pull_request:4258", + "right": "pull_request:4472", + "accept": false, + "reason": "Both touch the SDXL dreambooth README, but one rewrites the note while the other removes login instructions; different edits." + }, + { + "left": "pull_request:4317", + "right": "pull_request:6106", + "accept": false, + "reason": "Both mention dreambooth-related training docs/scripts, but one fixes validation tracker config and the other fixes an example pipe reference in saved model card text; different issues." + }, + { + "left": "pull_request:4317", + "right": "pull_request:6282", + "accept": false, + "reason": "Both are Dreambooth training fixes, but one handles validation option tracking and the other removes a runtime error in VAE detection; different concrete bugs." + }, + { + "left": "pull_request:4330", + "right": "pull_request:4574", + "accept": false, + "reason": "One corrects a ControlNet README header, the other updates InstructPix2Pix README mentions; unrelated docs." + }, + { + "left": "pull_request:4574", + "right": "pull_request:4626", + "accept": false, + "reason": "InstructPix2Pix README changes and text2image link fixes are different documentation updates with no shared bug." + }, + { + "left": "pull_request:5720", + "right": "pull_request:6122", + "accept": false, + "reason": "Both are broad docs sweeps, but they edit different document sets and fix different wording issues; too generic to count as duplicates." + }, + { + "left": "pull_request:5721", + "right": "pull_request:5838", + "accept": false, + "reason": "Both change CI dependency installs, but one is PR test runner accelerate-only and the other is PEFT backend dependencies; different workflows and package sets." + }, + { + "left": "pull_request:6106", + "right": "pull_request:6282", + "accept": false, + "reason": "One is a saved-example text fix in advanced training docs, the other is a runtime fix in Dreambooth training; unrelated problems." + }, + { + "left": "pull_request:6837", + "right": "pull_request:7360", + "accept": false, + "reason": "One is an import-order doc tweak for i2vgen-xl, the other is a scheduler typing/docs fix; different code areas." + }, + { + "left": "pull_request:6837", + "right": "pull_request:7910", + "accept": false, + "reason": "One is a doc example import order change, the other adds image-processor docs entries; unrelated." + }, + { + "left": "pull_request:7360", + "right": "pull_request:7425", + "accept": false, + "reason": "A scheduler docs/type fix and a PEFT inference tutorial formatting fix are unrelated changes." + }, + { + "left": "pull_request:7903", + "right": "pull_request:8923", + "accept": false, + "reason": "One is a video-processor implementation test PR, the other is CI/debugging hub issues; different scope and purpose." + }, + { + "left": "pull_request:8064", + "right": "pull_request:8923", + "accept": false, + "reason": "Marigold pipeline test scaffolding is unrelated to the CI hub-debug PR; no shared code path." + }, + { + "left": "pull_request:8483", + "right": "pull_request:9386", + "accept": false, + "reason": "Both are major feature PRs, but SD3 support and PAG inpaint support are different pipelines and changes that would not merge as one patch." + }, + { + "left": "pull_request:874", + "right": "pull_request:897", + "accept": false, + "reason": "One updates a community README entry for custom pipelines; the other adds a speech-to-image example. Different examples and content." + }, + { + "left": "pull_request:8775", + "right": "pull_request:9553", + "accept": false, + "reason": "One adds a Colab link in an SD3 LoRA README; the other expands distributed inference docs with device-map guidance. Different docs and intent." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 12, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10063", + "pull_request:10323", + "pull_request:10346", + "pull_request:10402", + "pull_request:10968", + "pull_request:11243", + "pull_request:11292", + "pull_request:11431", + "pull_request:11451", + "pull_request:11516", + "pull_request:11571", + "pull_request:12095", + "pull_request:12225", + "pull_request:12249", + "pull_request:1508", + "pull_request:1513", + "pull_request:2766", + "pull_request:3170", + "pull_request:4944", + "pull_request:5175", + "pull_request:5448", + "pull_request:5506", + "pull_request:5517", + "pull_request:5807", + "pull_request:5915", + "pull_request:6225", + "pull_request:6267", + "pull_request:6714", + "pull_request:6757", + "pull_request:6760", + "pull_request:6787", + "pull_request:6962", + "pull_request:7062", + "pull_request:7166", + "pull_request:7206", + "pull_request:7372", + "pull_request:7966", + "pull_request:8572", + "pull_request:9005", + "pull_request:9008", + "pull_request:9070", + "pull_request:9257", + "pull_request:934", + "pull_request:9408", + "pull_request:9483", + "pull_request:9881", + "pull_request:9940", + "pull_request:9993" + ], + "soft_pairs": [ + "pull_request:9070|pull_request:9408", + "pull_request:5448|pull_request:5517", + "pull_request:11571|pull_request:12095", + "pull_request:4944|pull_request:5915", + "pull_request:5506|pull_request:6225", + "pull_request:9257|pull_request:9993", + "pull_request:6267|pull_request:6757", + "pull_request:6787|pull_request:7062", + "pull_request:10968|pull_request:11516", + "pull_request:5807|pull_request:7062", + "pull_request:10346|pull_request:9881", + "pull_request:10063|pull_request:9940", + "pull_request:11243|pull_request:11292", + "pull_request:11431|pull_request:11451", + "pull_request:8572|pull_request:9008", + "pull_request:12225|pull_request:12249", + "pull_request:10323|pull_request:10402", + "pull_request:2766|pull_request:934", + "pull_request:3170|pull_request:5175", + "pull_request:6714|pull_request:6760", + "pull_request:6962|pull_request:7966", + "pull_request:9005|pull_request:9483", + "pull_request:7206|pull_request:7372", + "pull_request:1508|pull_request:1513", + "pull_request:6225|pull_request:7166" + ], + "prepared_review_unit_hash": "7298db4569d9fba545cf6cbd6ab1d3bee8d98f60022cfeb0f5f63ac73b2af15f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 103705, + "estimated_input_tokens": 25927, + "estimated_eval_tokens": 52110 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are mostly unrelated docs, tests, or feature PRs that only share a subsystem name. I reject all soft edges as non-duplicates; none look like the same underlying change or bug fix.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9408 is the most substantial, coherent merged code change in the set, with a direct issue target and broad implementation across docs, code, and tests, so it is the best single PR anchor if one must be chosen.", + "best_issue_reason": null, + "best_pr_reason": "PR 9408 is the strongest representative PR overall: it is a real feature addition, not just a docs/test tweak, and it has the clearest end-to-end scope among the candidates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9070", + "right": "pull_request:9408", + "accept": false, + "reason": "Both are FLUX-related, but one adds an img2img pipeline while the other adds ControlNet img2img/inpaint pipelines; different code paths and feature goals." + }, + { + "left": "pull_request:5448", + "right": "pull_request:5517", + "accept": false, + "reason": "One adds the LCM pipeline, the other adds a distillation training script; related domain, but not the same underlying change." + }, + { + "left": "pull_request:11571", + "right": "pull_request:12095", + "accept": false, + "reason": "Both touch LTX docs/pipelines, but one adds 0.9.7-distilled support and the other targets 0.9.8 with different pipeline behavior; distinct releases and changes." + }, + { + "left": "pull_request:4944", + "right": "pull_request:5915", + "accept": false, + "reason": "IP-Adapter support versus IP-Adapter Plus support are different loader/model capability changes, not the same bug fix." + }, + { + "left": "pull_request:5506", + "right": "pull_request:6225", + "accept": false, + "reason": "One fixes PEFT/xformers LoRA scaling behavior; the other fixes LoRA alpha parsing in training scripts. Different problems and code paths." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9993", + "accept": false, + "reason": "These are separate DreamBooth-related fixes in different model generations; one aligns Flux prompting logic, the other fixes SD3 checkpoint saving." + }, + { + "left": "pull_request:6267", + "right": "pull_request:6757", + "accept": false, + "reason": "One refactors K-diffusion pipeline placement, the other fixes sigma device placement. Not the same concrete bug or change." + }, + { + "left": "pull_request:6787", + "right": "pull_request:7062", + "accept": false, + "reason": "One fixes Marigold input normalization; the other corrects a community pipeline docstring. Different artifact types and purposes." + }, + { + "left": "pull_request:10968", + "right": "pull_request:11516", + "accept": false, + "reason": "Both are LTX releases, but they target different versions and add different pipeline/model capabilities; not a duplicate change." + }, + { + "left": "pull_request:5807", + "right": "pull_request:7062", + "accept": false, + "reason": "A community pipeline prompt-embedding enhancement and a docstring fix are unrelated changes." + }, + { + "left": "pull_request:10346", + "right": "pull_request:9881", + "accept": false, + "reason": "Optional IP-Adapter mask handling and XFormers attention processor support address different attention/load paths." + }, + { + "left": "pull_request:10063", + "right": "pull_request:9940", + "accept": false, + "reason": "One is an evaluation-doc nit fix; the other adjusts textual inversion loading/unloading behavior. Different scope and intent." + }, + { + "left": "pull_request:11243", + "right": "pull_request:11292", + "accept": false, + "reason": "Both are LoRA conversion utilities, but they convert different model families and handle different key-mapping problems." + }, + { + "left": "pull_request:11431", + "right": "pull_request:11451", + "accept": false, + "reason": "These add torch.compile tests for different transformer models; same testing theme, but not the same issue." + }, + { + "left": "pull_request:8572", + "right": "pull_request:9008", + "accept": false, + "reason": "Both are typo/formatting errata, but they touch different files and unrelated edits across docs/workflows." + }, + { + "left": "pull_request:12225", + "right": "pull_request:12249", + "accept": false, + "reason": "These add different pipelines for different products; they are not the same underlying feature." + }, + { + "left": "pull_request:10323", + "right": "pull_request:10402", + "accept": false, + "reason": "Quantization docs link cleanup and broken hunyuan docs links are separate documentation fixes." + }, + { + "left": "pull_request:2766", + "right": "pull_request:934", + "accept": false, + "reason": "Both update test expectations for MPS/torch behavior, but they are different test suites and fixes." + }, + { + "left": "pull_request:3170", + "right": "pull_request:5175", + "accept": false, + "reason": "A dependency pin and an HF_HOME CI permission tweak are unrelated setup/CI changes." + }, + { + "left": "pull_request:6714", + "right": "pull_request:6760", + "accept": false, + "reason": "One expands the slow-test matrix, the other adjusts IP-Adapter test expectations; 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Not the same concrete change." + }, + { + "left": "pull_request:4655", + "right": "pull_request:5747", + "accept": true, + "reason": "These appear to be the same `data_dir` dataset-loading fix in the same two training scripts, and the diffs are effectively identical; 5747 is the merged follow-up/canonical version." + }, + { + "left": "pull_request:4696", + "right": "pull_request:4946", + "accept": false, + "reason": "Related to T2I-Adapter docs/models, but one adds SDXL adapter support and the other updates the training overview entry. Too broad and not the same change." + }, + { + "left": "pull_request:5332", + "right": "pull_request:7124", + "accept": false, + "reason": "A typo fix in DreamBooth LoRA comments vs a kwarg rename in the SDXL DreamBooth callback. Different issues." + }, + { + "left": "pull_request:5626", + "right": "pull_request:5852", + "accept": false, + "reason": "CPU offload test cleanup vs PEFT backend CI workflow fix. Different subsystems and code paths." + }, + { + "left": "pull_request:5844", + "right": "pull_request:5982", + "accept": false, + "reason": "Both are docs additions, but one adds a Japanese SDXL reference and the other adds SDXL Turbo docs. Not the same underlying change." + }, + { + "left": "pull_request:6106", + "right": "pull_request:6403", + "accept": false, + "reason": "Same advanced training script, but different changes: fixing an example call vs adding WebUI-format support. Not mergeable as one duplicate." + }, + { + "left": "pull_request:6389", + "right": "pull_request:6475", + "accept": false, + "reason": "Stable Video Diffusion docs/type annotations, but one changes `noise_aug_strength` typing and the other fixes the VAE type docstring. Different bugs." + }, + { + "left": "pull_request:6403", + "right": "pull_request:6592", + "accept": false, + "reason": "WebUI format support for an SDXL training script vs a new inpainting training script. Different features." + }, + { + "left": "pull_request:6775", + "right": "pull_request:7360", + "accept": false, + "reason": "Both are scheduler docs tweaks, but they address different classes (`DDPMScheduler` missing param docs vs `TCDScheduler` copied-from/type docs)." + }, + { + "left": "pull_request:6775", + "right": "pull_request:7910", + "accept": false, + "reason": "Missing parameter docs for DDPM vs missing image processor docs. Unrelated documentation additions." + }, + { + "left": "pull_request:7495", + "right": "pull_request:8775", + "accept": false, + "reason": "Both touch READMEs with notebook links, but they are different projects and different link fixes." + }, + { + "left": "pull_request:7542", + "right": "pull_request:7544", + "accept": false, + "reason": "Both are CPU offload test fixes, but one corrects a typo calling the offload method and the other refactors assertion logic. Related area, not the same bug." + }, + { + "left": "pull_request:8923", + "right": "pull_request:9131", + "accept": false, + "reason": "CI/debug Hub issues vs a tokenizers version pin. Completely unrelated." + }, + { + "left": "pull_request:9070", + "right": "pull_request:9135", + "accept": false, + "reason": "PR 9135 is a larger FLUX feature PR adding img2img plus inpainting, while 9070 is only the img2img pipeline. Same family, different concrete change set." + }, + { + "left": "pull_request:9760", + "right": "pull_request:9775", + "accept": false, + "reason": "General README wording cleanup vs a Flux LoRA quantization README note. Not the same underlying change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and the only accepted pair (4655/5747) is a conservative same-fix match. The other soft-edge rejections are also appropriately cautious and do not overstate equivalence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 15, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10192", + "pull_request:10268", + "pull_request:10330", + "pull_request:10351", + "pull_request:10578", + "pull_request:1063", + "pull_request:10718", + "pull_request:10728", + "pull_request:10867", + "pull_request:10968", + "pull_request:11039", + "pull_request:11451", + "pull_request:11512", + "pull_request:11550", + "pull_request:11588", + "pull_request:11595", + "pull_request:11655", + "pull_request:11892", + "pull_request:12074", + "pull_request:12225", + "pull_request:12301", + "pull_request:12909", + "pull_request:12970", + "pull_request:3952", + "pull_request:4145", + "pull_request:4451", + "pull_request:4526", + "pull_request:4714", + "pull_request:4783", + "pull_request:5051", + "pull_request:5506", + "pull_request:5697", + "pull_request:5915", + "pull_request:6308", + "pull_request:6526", + "pull_request:6550", + "pull_request:6795", + "pull_request:6864", + "pull_request:7131", + "pull_request:7189", + "pull_request:8290", + "pull_request:8627", + "pull_request:8715", + "pull_request:8725", + "pull_request:8875", + "pull_request:948", + "pull_request:9985", + "pull_request:9987" + ], + "soft_pairs": [ + "pull_request:4783|pull_request:6864", + "pull_request:10192|pull_request:9985", + "pull_request:11451|pull_request:11512", + "pull_request:12225|pull_request:12301", + "pull_request:6526|pull_request:6550", + "pull_request:6795|pull_request:8715", + "pull_request:8290|pull_request:8627", + "pull_request:11588|pull_request:12074", + "pull_request:12909|pull_request:12970", + "pull_request:11039|pull_request:11892", + "pull_request:10330|pull_request:10968", + "pull_request:10578|pull_request:11655", + "pull_request:10728|pull_request:10867", + "pull_request:4451|pull_request:4526", + "pull_request:8725|pull_request:8875", + "pull_request:10351|pull_request:11595", + "pull_request:10718|pull_request:9987", + "pull_request:4714|pull_request:5506", + "pull_request:5915|pull_request:7189", + "pull_request:10268|pull_request:11550", + "pull_request:1063|pull_request:948", + "pull_request:3952|pull_request:4145", + "pull_request:5051|pull_request:7131", + "pull_request:5697|pull_request:6308" + ], + "prepared_review_unit_hash": "2924a07c54e8a2af202f5946cfa7ce80762405fcaaafe06ea4cc82802c5988a1", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 108461, + "estimated_input_tokens": 27116, + "estimated_eval_tokens": 54488 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a mix of related-but-distinct PRs across Flux, LTX, Qwen-Image, Wan, SD3, and LoRA/compile work. None of the soft pairs look like the same concrete bug or change, so all soft edges are rejected.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "If a single PR must represent the cluster, PR 9985 is the strongest candidate: it is the broadest and most central Flux feature PR here, with substantial review activity and downstream references. That said, it is not a duplicate of the others.", + "best_issue_reason": null, + "best_pr_reason": "PR 9985 is the best overall representative of the cluster because it has the widest scope, strongest discussion/review signal, and sits at the center of the Flux-related subcluster; the rest are narrower or unrelated follow-on changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4783", + "right": "pull_request:6864", + "accept": false, + "reason": "SDXL docs about forcing empty prompt embeddings vs a PEFT/torch.compile note; related docs, but not the same change or bug." + }, + { + "left": "pull_request:10192", + "right": "pull_request:9985", + "accept": false, + "reason": "Both are Flux-family additions, but one is Control/Inpaint support and the other is Fill/Canny/Depth/Redux; different features and code paths." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11512", + "accept": false, + "reason": "These are compile-test additions for different models (Wan vs LTX), not the same underlying fix." + }, + { + "left": "pull_request:12225", + "right": "pull_request:12301", + "accept": false, + "reason": "Qwen-Image edit inpaint pipeline vs Qwen-Image ControlNet inpaint pipeline; adjacent features, not duplicates." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6550", + "accept": false, + "reason": "Separate torch.compile compatibility updates for different training scripts; no shared concrete bug." + }, + { + "left": "pull_request:6795", + "right": "pull_request:8715", + "accept": false, + "reason": "Both touch SDXL training, but one adds micro-conditioning while the other adds clip_skip; distinct changes." + }, + { + "left": "pull_request:8290", + "right": "pull_request:8627", + "accept": false, + "reason": "A docs/refactor build-prs change versus an SD3 ControlNet feature PR; not the same artifact or fix." + }, + { + "left": "pull_request:11588", + "right": "pull_request:12074", + "accept": false, + "reason": "Both involve LoRA loading for newer models, but one is Wan I2V support and the other is Wan 2.2 second-denoiser loading; different code paths and goals." + }, + { + "left": "pull_request:12909", + "right": "pull_request:12970", + "accept": false, + "reason": "Wan context-parallel fix vs Qwen-Image context-parallel fix; same theme, different model-specific implementation." + }, + { + "left": "pull_request:11039", + "right": "pull_request:11892", + "accept": false, + "reason": "Single-file dtype/quantization handling vs removing k-diffusion dependency; unrelated changes." + }, + { + "left": "pull_request:10330", + "right": "pull_request:10968", + "accept": false, + "reason": "LTX 0.9.1 vs LTX 0.9.5 release updates; same product line but clearly different versioned upgrades and feature sets." + }, + { + "left": "pull_request:10578", + "right": "pull_request:11655", + "accept": false, + "reason": "Both touch LoRA loading for Flux-related models, but one is 4bit quantized Flux LoRA support and the other is bnb 8bit Flux Control LoRA support; not the same fix." + }, + { + "left": "pull_request:10728", + "right": "pull_request:10867", + "accept": false, + "reason": "Quantized Flux IP-Adapter handling vs multi IP-Adapter support for Flux pipelines; related subsystem, different problems." + }, + { + "left": "pull_request:4451", + "right": "pull_request:4526", + "accept": false, + "reason": "Both move tests to nightly, but they are separate sweeps across different test files and not one concrete change." + }, + { + "left": "pull_request:8725", + "right": "pull_request:8875", + "accept": false, + "reason": "PAG support for SD architecture vs PAG support for the ControlNet inpaint variant; adjacent feature work, not duplicates." + }, + { + "left": "pull_request:10351", + "right": "pull_request:11595", + "accept": false, + "reason": "A test-only fix in LoRA utilities vs a LoRA loading behavior fix for Flux; different scope and intent." + }, + { + "left": "pull_request:10718", + "right": "pull_request:9987", + "accept": false, + "reason": "SD3 IP-Adapter runtime checkpoint conversion vs SD3.5 IP-Adapter pipeline integration; same ecosystem, but not the same concrete change." + }, + { + "left": "pull_request:4714", + "right": "pull_request:5506", + "accept": false, + "reason": "Different attention/PEFT compatibility fixes: one for missing transformers error messaging, the other for xformers+PEFT scaling behavior." + }, + { + "left": "pull_request:5915", + "right": "pull_request:7189", + "accept": false, + "reason": "IP-Adapter Plus feature support vs a bugfix for using plus-version image embeds; related area, but not the same patch." + }, + { + "left": "pull_request:10268", + "right": "pull_request:11550", + "accept": false, + "reason": "Single-file support for Mochi transformer vs GGUF/single-file support for HiDream; both loaders, but entirely different models and mappings." + }, + { + "left": "pull_request:1063", + "right": "pull_request:948", + "accept": false, + "reason": "Two unrelated typo fixes in different parts of the codebase." + }, + { + "left": "pull_request:3952", + "right": "pull_request:4145", + "accept": false, + "reason": "Unrelated placeholder/test PRs around huggingface-hub version pinning and an UnCLIP demo draft; not the same change." + }, + { + "left": "pull_request:5051", + "right": "pull_request:7131", + "accept": false, + "reason": "Both are doc typo cleanups, but they target different documents and have no shared underlying bug or feature." + }, + { + "left": "pull_request:5697", + "right": "pull_request:6308", + "accept": false, + "reason": "Both are LoRA-related attention fixes, but one is xformers/PEFT scaling behavior and the other is dummy-component test setup; not the same concrete issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 16, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10005", + "pull_request:10188", + "pull_request:10246", + "pull_request:10255", + "pull_request:10279", + "pull_request:10316", + "pull_request:10323", + "pull_request:10351", + "pull_request:10465", + "pull_request:10524", + "pull_request:10854", + "pull_request:10858", + "pull_request:10911", + "pull_request:10995", + "pull_request:11505", + "pull_request:11655", + "pull_request:11786", + "pull_request:11823", + "pull_request:12041", + "pull_request:12562", + "pull_request:12660", + "pull_request:12737", + "pull_request:12739", + "pull_request:13212", + "pull_request:3847", + "pull_request:3921", + "pull_request:4276", + "pull_request:4632", + "pull_request:4847", + "pull_request:4944", + "pull_request:5887", + "pull_request:6215", + "pull_request:6550", + "pull_request:6576", + "pull_request:6729", + "pull_request:6759", + "pull_request:6864", + "pull_request:6939", + "pull_request:7246", + "pull_request:8630", + "pull_request:8685", + "pull_request:8691", + "pull_request:8875", + "pull_request:9086", + "pull_request:9290", + "pull_request:9463", + "pull_request:9751", + "pull_request:9827" + ], + "soft_pairs": [ + "pull_request:8630|pull_request:9086", + "pull_request:9086|pull_request:9290", + "pull_request:11655|pull_request:11823", + "pull_request:3921|pull_request:4847", + "pull_request:4944|pull_request:5887", + "pull_request:10351|pull_request:10911", + "pull_request:4632|pull_request:6759", + "pull_request:8691|pull_request:9827", + "pull_request:6729|pull_request:6939", + "pull_request:10465|pull_request:9751", + "pull_request:10854|pull_request:11786", + "pull_request:12739|pull_request:13212", + "pull_request:6550|pull_request:6576", + "pull_request:6864|pull_request:8685", + "pull_request:3847|pull_request:4276", + "pull_request:6215|pull_request:7246", + "pull_request:8875|pull_request:9463", + "pull_request:12041|pull_request:12562", + "pull_request:12660|pull_request:12737", + "pull_request:10005|pull_request:10246", + "pull_request:10188|pull_request:9827", + "pull_request:10255|pull_request:10995", + "pull_request:10279|pull_request:10858", + "pull_request:10316|pull_request:10524", + "pull_request:10323|pull_request:11505" + ], + "prepared_review_unit_hash": "52401c52269a91f0489cb0309dd82bd59d61f6351728f2a5b2fda870f7177236", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 96678, + "estimated_input_tokens": 24170, + "estimated_eval_tokens": 48596 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose set of unrelated docs, tests, LoRA loader, CI, and model-support PRs that only share broad themes like LoRA, docs, or FLUX. None of the soft-edge pairs look like the same underlying bug/change, so they should stay separate.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:8630", + "right": "pull_request:9086", + "accept": false, + "reason": "Different changes: SD3 DreamBooth CLIP text-encoder training vs FLUX DreamBooth/LoRA scripts." + }, + { + "left": "pull_request:9086", + "right": "pull_request:9290", + "accept": false, + "reason": "Both are FLUX DreamBooth-related, but one adds training scripts and the other only improves the README; not the same concrete change." + }, + { + "left": "pull_request:11655", + "right": "pull_request:11823", + "accept": false, + "reason": "Different features: Flux Control LoRA bnb-8bit support vs Fal Kontext LoRA conversion." + }, + { + "left": "pull_request:3921", + "right": "pull_request:4847", + "accept": false, + "reason": "Unrelated community examples/pipelines with different functionality and targets." + }, + { + "left": "pull_request:4944", + "right": "pull_request:5887", + "accept": false, + "reason": "Both touch IP-Adapter, but one is general support and the other is for ControlNet Inpaint; not the same code-path fix." + }, + { + "left": "pull_request:10351", + "right": "pull_request:10911", + "accept": false, + "reason": "Both are test fixes, but for different LoRA tests in different models." + }, + { + "left": "pull_request:4632", + "right": "pull_request:6759", + "accept": false, + "reason": "Different example fixes: SDXL LoRA checkpointing/casting vs InstantID prompt image embedding handling." + }, + { + "left": "pull_request:8691", + "right": "pull_request:9827", + "accept": false, + "reason": "Both involve LoRA loading, but one fixes vanilla fine-tuned LoRA loading while the other fixes device_map/offloading behavior." + }, + { + "left": "pull_request:6729", + "right": "pull_request:6939", + "accept": false, + "reason": "Both standardize model cards, but they affect different training scripts and are separate edits." + }, + { + "left": "pull_request:10465", + "right": "pull_request:9751", + "accept": false, + "reason": "Both are FLUX NPU adaptations, but they target different training scripts and different code paths." + }, + { + "left": "pull_request:10854", + "right": "pull_request:11786", + "accept": false, + "reason": "Completely different areas: test module rename vs big-GPU marker/CI changes." + }, + { + "left": "pull_request:12739", + "right": "pull_request:13212", + "accept": false, + "reason": "Different Z-Image issues: type-check export vs classifier-free guidance threshold logic." + }, + { + "left": "pull_request:6550", + "right": "pull_request:6576", + "accept": false, + "reason": "Both are torch.compile compatibility fixes, but for different example scripts and distinct problems." + }, + { + "left": "pull_request:6864", + "right": "pull_request:8685", + "accept": false, + "reason": "Both are docs-only, but they fix unrelated documentation topics." + }, + { + "left": "pull_request:3847", + "right": "pull_request:4276", + "accept": false, + "reason": "Different CI/testing changes: soft-dependency checks vs pipeline import tests." + }, + { + "left": "pull_request:6215", + "right": "pull_request:7246", + "accept": false, + "reason": "Different test fixes for different pipelines and failure modes." + }, + { + "left": "pull_request:8875", + "right": "pull_request:9463", + "accept": false, + "reason": "Both add PAG support, but for different pipelines and code paths; not mergeable as one duplicate PR." + }, + { + "left": "pull_request:12041", + "right": "pull_request:12562", + "accept": false, + "reason": "Wan VAE patchify fix vs context-parallel crash fix are unrelated." + }, + { + "left": "pull_request:12660", + "right": "pull_request:12737", + "accept": false, + "reason": "Both mention context parallel, but they fix different transformer models and different bugs." + }, + { + "left": "pull_request:10005", + "right": "pull_request:10246", + "accept": false, + "reason": "Unrelated docs additions for different API pages and different content." + }, + { + "left": "pull_request:10188", + "right": "pull_request:9827", + "accept": false, + "reason": "Both involve LoRA loading, but one addresses Flux mixed normal/expanding LoRAs and the other device_map handling; different bugs." + }, + { + "left": "pull_request:10255", + "right": "pull_request:10995", + "accept": false, + "reason": "Both tweak copied-from comments in lora_pipeline.py, but they are separate comment-cleanup changes with different scope." + }, + { + "left": "pull_request:10279", + "right": "pull_request:10858", + "accept": false, + "reason": "Both are quantization docs, but one fixes links in GGUF/overview docs and the other changes the pipeline overview table entry." + }, + { + "left": "pull_request:10316", + "right": "pull_request:10524", + "accept": false, + "reason": "Different documentation fixes for different pipeline pages." + }, + { + "left": "pull_request:10323", + "right": "pull_request:11505", + "accept": false, + "reason": "Both fix doc links, but they affect different sections and different link targets." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 17, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10394", + "pull_request:10418", + "pull_request:10434", + "pull_request:10632", + "pull_request:10845", + "pull_request:10978", + "pull_request:11537", + "pull_request:1178", + "pull_request:11825", + "pull_request:11954", + "pull_request:12827", + "pull_request:12971", + "pull_request:13071", + "pull_request:13082", + "pull_request:13253", + "pull_request:13346", + "pull_request:1437", + "pull_request:1967", + "pull_request:2381", + "pull_request:2391", + "pull_request:2541", + "pull_request:2566", + "pull_request:2677", + "pull_request:2678", + "pull_request:2764", + "pull_request:2825", + "pull_request:2839", + "pull_request:296", + "pull_request:3132", + "pull_request:3170", + "pull_request:3226", + "pull_request:3370", + "pull_request:3389", + "pull_request:3440", + "pull_request:3577", + "pull_request:3633", + "pull_request:3839", + "pull_request:4145", + "pull_request:4258", + "pull_request:4317", + "pull_request:4330", + "pull_request:4350", + "pull_request:4540", + "pull_request:4946", + "pull_request:5101", + "pull_request:948", + "pull_request:9655" + ], + "soft_pairs": [ + "pull_request:10394|pull_request:9655", + "pull_request:10418|pull_request:10434", + "pull_request:10632|pull_request:9655", + "pull_request:10845|pull_request:10978", + "pull_request:11537|pull_request:11954", + "pull_request:1178|pull_request:948", + "pull_request:11825|pull_request:11954", + "pull_request:12827|pull_request:12971", + "pull_request:13071|pull_request:13346", + "pull_request:13082|pull_request:13253", + "pull_request:1437|pull_request:948", + "pull_request:1967|pull_request:3170", + "pull_request:2381|pull_request:296", + "pull_request:2391|pull_request:2678", + "pull_request:2541|pull_request:2566", + "pull_request:2677|pull_request:3226", + "pull_request:2764|pull_request:3370", + "pull_request:2825|pull_request:4317", + "pull_request:2839|pull_request:4540", + "pull_request:3132|pull_request:3839", + "pull_request:3389|pull_request:3440", + "pull_request:3577|pull_request:5101", + "pull_request:3633|pull_request:4145", + "pull_request:4258|pull_request:4330", + "pull_request:4350|pull_request:4946" + ], + "prepared_review_unit_hash": "bcfc328e3aca427bf02b465f0af5c4c018df09f62a2024003543fae038d7f506", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 90256, + "estimated_input_tokens": 22564, + "estimated_eval_tokens": 45384 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly heterogeneous: docs typo/link fixes, test refactors, and unrelated code changes. Only one soft pair appears to be a true duplicate/final rework of the same fix (the tensorboard tracking call in the unconditional image training example).", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 2566 is the best canonical PR because it is the merged final version of the exact same tensorboard-tracking fix that PR 2541 attempted earlier.", + "best_issue_reason": null, + "best_pr_reason": "PR 2566 is the strongest representative artifact in the cluster because it is the finalized, merged instance of the only true duplicate pair.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10394", + "right": "pull_request:9655", + "accept": false, + "reason": "Both are docs fixes, but one is a PEFT link cleanup and the other is an xDiT image-path rewrite; different files and different underlying changes." + }, + { + "left": "pull_request:10418", + "right": "pull_request:10434", + "accept": false, + "reason": "Both touch docs links, but 10418 is a single internal-link correction while 10434 is a broad broken-link sweep across many pipeline docs; not the same change." + }, + { + "left": "pull_request:10632", + "right": "pull_request:9655", + "accept": false, + "reason": "One fixes an image URL in a para-attention doc; the other rewrites multiple xDiT doc assets. Same broad docs area, not the same bug/change." + }, + { + "left": "pull_request:10845", + "right": "pull_request:10978", + "accept": false, + "reason": "Flux training T5 embedding handling and OneTrainer LoRA conversion loading are different code paths and different fixes." + }, + { + "left": "pull_request:11537", + "right": "pull_request:11954", + "accept": false, + "reason": "These are unrelated test changes for different models and failure modes; they do not address the same underlying issue." + }, + { + "left": "pull_request:1178", + "right": "pull_request:948", + "accept": false, + "reason": "Both are typo fixes, but in different modules and eras; no shared underlying bug." + }, + { + "left": "pull_request:11825", + "right": "pull_request:11954", + "accept": false, + "reason": "A hotswapping+compilation doc/test addition is unrelated to Hunyuan Video test slices; different behavior and intent." + }, + { + "left": "pull_request:12827", + "right": "pull_request:12971", + "accept": false, + "reason": "Same file, but one fixes code-fence syntax while the other removes/repositions a section; they are separate documentation edits." + }, + { + "left": "pull_request:13071", + "right": "pull_request:13346", + "accept": false, + "reason": "Both refactor model tests, but for different transformer families and distinct test setups; not one concrete duplicate fix." + }, + { + "left": "pull_request:13082", + "right": "pull_request:13253", + "accept": false, + "reason": "Wan transformer refactor and Z-Image test refactor are different model/test changes with no shared bug." + }, + { + "left": "pull_request:1437", + "right": "pull_request:948", + "accept": false, + "reason": "Small typo fixes in different pipeline files; superficial similarity only." + }, + { + "left": "pull_request:1967", + "right": "pull_request:3170", + "accept": false, + "reason": "CPU/offload example code and dependency pinning are unrelated changes." + }, + { + "left": "pull_request:2381", + "right": "pull_request:296", + "accept": false, + "reason": "Dummy-import guard fixes for Stable Diffusion internals are unrelated to auth-token test updates." + }, + { + "left": "pull_request:2391", + "right": "pull_request:2678", + "accept": false, + "reason": "Both are test tweaks, but they target different suites and different failures; not mergeable as one fix." + }, + { + "left": "pull_request:2541", + "right": "pull_request:2566", + "accept": true, + "reason": "Both diffs make the same tensorboard tracker call change in the same training script; 2566 is the merged final version of that exact fix." + }, + { + "left": "pull_request:2677", + "right": "pull_request:3226", + "accept": false, + "reason": "One adds a training-doc entry and the other adds ControlNet v1.1 pipeline docs; different documentation tasks." + }, + { + "left": "pull_request:2764", + "right": "pull_request:3370", + "accept": false, + "reason": "Both update the torch2.0 doc, but they are distinct content revisions rather than the same underlying change." + }, + { + "left": "pull_request:2825", + "right": "pull_request:4317", + "accept": false, + "reason": "Dreambooth offset-noise support and validation-option handling are separate training-example fixes." + }, + { + "left": "pull_request:2839", + "right": "pull_request:4540", + "accept": false, + "reason": "Both touch example READMEs, but they add different example references and are not the same change." + }, + { + "left": "pull_request:3132", + "right": "pull_request:3839", + "accept": false, + "reason": "A type annotation typo in ScoreSdeVe is unrelated to adding an optional noise argument in the scheduler." + }, + { + "left": "pull_request:3389", + "right": "pull_request:3440", + "accept": false, + "reason": "Both are CI/integration-test related, but they target different workflows and different goals." + }, + { + "left": "pull_request:3577", + "right": "pull_request:5101", + "accept": false, + "reason": "Broken README links and SDXL refine-doc link updates are separate docs fixes in different files." + }, + { + "left": "pull_request:3633", + "right": "pull_request:4145", + "accept": false, + "reason": "Dependency-version testing and UnCLIP constructor comment-outs are unrelated and not the same bug/change." + }, + { + "left": "pull_request:4258", + "right": "pull_request:4330", + "accept": false, + "reason": "Both edit the SDXL DreamBooth README, but one changes the hyperparameter note and the other corrects the header; separate edits." + }, + { + "left": "pull_request:4350", + "right": "pull_request:4946", + "accept": false, + "reason": "A dtype fix in adapter docs and adding a training-overview entry are different docs changes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft-edge pairs. The only accepted duplicate pair, 2541/2566, is well supported as the same tracker-call fix with 2566 as the merged follow-up. The other verdicts are appropriately rejected as distinct docs/test/code changes rather than the same bugfix." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 18, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11532", + "pull_request:11823", + "pull_request:12170", + "pull_request:12269", + "pull_request:2602", + "pull_request:3127", + "pull_request:3128", + "pull_request:4513", + "pull_request:4574", + "pull_request:4596", + "pull_request:4607", + "pull_request:4707", + "pull_request:4717", + "pull_request:4795", + "pull_request:4946", + "pull_request:5298", + "pull_request:5626", + "pull_request:5697", + "pull_request:5750", + "pull_request:5871", + "pull_request:6017", + "pull_request:6018", + "pull_request:6100", + "pull_request:6106", + "pull_request:6122", + "pull_request:6209", + "pull_request:6225", + "pull_request:6282", + "pull_request:6403", + "pull_request:6405", + "pull_request:6604", + "pull_request:6729", + "pull_request:6941", + "pull_request:7118", + "pull_request:7150", + "pull_request:7260", + "pull_request:7360", + "pull_request:7451", + "pull_request:7495", + "pull_request:7542", + "pull_request:7613", + "pull_request:7827", + "pull_request:7910", + "pull_request:8775", + "pull_request:9005", + "pull_request:9152", + "pull_request:9255", + "pull_request:9274" + ], + "soft_pairs": [ + "pull_request:4513|pull_request:5871", + "pull_request:4574|pull_request:6209", + "pull_request:4596|pull_request:5750", + "pull_request:4607|pull_request:4946", + "pull_request:4707|pull_request:6106", + "pull_request:4707|pull_request:6282", + "pull_request:4717|pull_request:6604", + "pull_request:5626|pull_request:7827", + "pull_request:6017|pull_request:6405", + "pull_request:6018|pull_request:6405", + "pull_request:6100|pull_request:6403", + "pull_request:6122|pull_request:7451", + "pull_request:6209|pull_request:7495", + "pull_request:6941|pull_request:7260", + "pull_request:7150|pull_request:9152", + "pull_request:7360|pull_request:7910", + "pull_request:7542|pull_request:7827", + "pull_request:8775|pull_request:9152", + "pull_request:9005|pull_request:9274", + "pull_request:9255|pull_request:9274", + "pull_request:11532|pull_request:12170", + "pull_request:6729|pull_request:7613", + "pull_request:2602|pull_request:4513", + "pull_request:3127|pull_request:3128", + "pull_request:4795|pull_request:5298", + "pull_request:6122|pull_request:7118", + "pull_request:5697|pull_request:6225", + "pull_request:11823|pull_request:12269" + ], + "prepared_review_unit_hash": "f3d9b78b01899e6c3ebba1d5d1e723d021be0ddb65f164997131d126d9b7dea3", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 96264, + "estimated_input_tokens": 24066, + "estimated_eval_tokens": 48388 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pair looks like a true duplicate change. Most pairs are adjacent docs, workflow, or feature PRs that happen to touch the same area but fix different concrete problems. The clearest standalone bugfix in the set is the PEFT/xFormers LoRA fix.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5697 is the strongest canonical candidate: it is a merged, concrete runtime bugfix with an explicit issue target and a single code-path change.", + "best_issue_reason": null, + "best_pr_reason": "PR 5697 is the best standalone PR here because it addresses a specific failure mode in attention/LoRA handling, rather than a docs, CI, or feature-only change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4513", + "right": "pull_request:5871", + "accept": false, + "reason": "Unrelated prerelease dependency pinning vs deprecated-scheduler docs cleanup; not the same change." + }, + { + "left": "pull_request:4574", + "right": "pull_request:6209", + "accept": false, + "reason": "Both touch README examples, but they fix different docs in different examples and different issues." + }, + { + "left": "pull_request:4596", + "right": "pull_request:5750", + "accept": false, + "reason": "One adds an SDXL conversion script; the other is an unrelated placeholder/reference PR." + }, + { + "left": "pull_request:4607", + "right": "pull_request:4946", + "accept": false, + "reason": "Different documentation scopes: API overview pages vs training overview content." + }, + { + "left": "pull_request:4707", + "right": "pull_request:6106", + "accept": false, + "reason": "Different training-script edits for different problems; not one underlying bug or change." + }, + { + "left": "pull_request:4707", + "right": "pull_request:6282", + "accept": false, + "reason": "Custom diffusion README fixes are unrelated to the dreambooth runtime fix." + }, + { + "left": "pull_request:4717", + "right": "pull_request:6604", + "accept": false, + "reason": "ControlNet docs typo fix and AutoencoderKL API docs fix are unrelated." + }, + { + "left": "pull_request:5626", + "right": "pull_request:7827", + "accept": false, + "reason": "One fixes a test assertion, the other a docstring example; same theme but not the same change." + }, + { + "left": "pull_request:6017", + "right": "pull_request:6405", + "accept": false, + "reason": "Doc-builder test PR vs workflow config change; clearly different changes." + }, + { + "left": "pull_request:6018", + "right": "pull_request:6405", + "accept": false, + "reason": "Same as above: unrelated doc-builder test PR and workflow edit." + }, + { + "left": "pull_request:6100", + "right": "pull_request:6403", + "accept": false, + "reason": "Both touch the same file, but one adds widget text while the other adds WebUI format support; different changes." + }, + { + "left": "pull_request:6122", + "right": "pull_request:7451", + "accept": false, + "reason": "Both are broad typo/doc sweeps, but they affect different pages and different wording." + }, + { + "left": "pull_request:6209", + "right": "pull_request:7495", + "accept": false, + "reason": "Text-to-image README test-script fixes and advanced-training Colab link fixes are unrelated." + }, + { + "left": "pull_request:6941", + "right": "pull_request:7260", + "accept": false, + "reason": "Both involve IP-Adapter support, but for different pipelines and code paths." + }, + { + "left": "pull_request:7150", + "right": "pull_request:9152", + "accept": false, + "reason": "Callback example cleanup is unrelated to the distributed-inference docs expansion." + }, + { + "left": "pull_request:7360", + "right": "pull_request:7910", + "accept": false, + "reason": "Scheduler doc fixes vs image-processor docs additions are not the same underlying issue." + }, + { + "left": "pull_request:7542", + "right": "pull_request:7827", + "accept": false, + "reason": "Test typo fix and docstring offload example are different edits." + }, + { + "left": "pull_request:8775", + "right": "pull_request:9152", + "accept": false, + "reason": "Colab-link docs change and distributed-inference docs change do not fix the same bug or feature." + }, + { + "left": "pull_request:9005", + "right": "pull_request:9274", + "accept": false, + "reason": "Both touch CI workflows, but they are different runner/release-test refactors rather than one merged change." + }, + { + "left": "pull_request:9255", + "right": "pull_request:9274", + "accept": false, + "reason": "Related release-branch CI work, but 9274 rewrites the approach instead of being the same concrete change." + }, + { + "left": "pull_request:11532", + "right": "pull_request:12170", + "accept": false, + "reason": "HiDream LoRA conversion and Qwen LoRA conversion are different model-family support paths." + }, + { + "left": "pull_request:6729", + "right": "pull_request:7613", + "accept": false, + "reason": "Both standardize model cards, but for different training scripts and different outputs." + }, + { + "left": "pull_request:2602", + "right": "pull_request:4513", + "accept": false, + "reason": "Different dependency pins for different packages; not a duplicate bug or change." + }, + { + "left": "pull_request:3127", + "right": "pull_request:3128", + "accept": false, + "reason": "Img2img safety-checker handling and img2img timestep selection are separate bugs." + }, + { + "left": "pull_request:4795", + "right": "pull_request:5298", + "accept": false, + "reason": "Both are torch.compile fixes, but they target different modules and code paths." + }, + { + "left": "pull_request:6122", + "right": "pull_request:7118", + "accept": false, + "reason": "Both are docs typo sweeps, but they cover different pages and different examples." + }, + { + "left": "pull_request:5697", + "right": "pull_request:6225", + "accept": false, + "reason": "Different LoRA bugs: one is xFormers/PEFT backend handling, the other is alpha parsing in training scripts." + }, + { + "left": "pull_request:11823", + "right": "pull_request:12269", + "accept": false, + "reason": "Same broader Kontext naming, but one adds LoRA conversion support while the other adds modular pipeline support; not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 19, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10494", + "pull_request:10759", + "pull_request:10943", + "pull_request:10951", + "pull_request:11025", + "pull_request:11059", + "pull_request:11522", + "pull_request:11835", + "pull_request:11994", + "pull_request:12074", + "pull_request:12395", + "pull_request:12397", + "pull_request:1937", + "pull_request:3080", + "pull_request:3587", + "pull_request:399", + "pull_request:4278", + "pull_request:4595", + "pull_request:4596", + "pull_request:5033", + "pull_request:5298", + "pull_request:5750", + "pull_request:5914", + "pull_request:6140", + "pull_request:6217", + "pull_request:6550", + "pull_request:6573", + "pull_request:6577", + "pull_request:6729", + "pull_request:6908", + "pull_request:6909", + "pull_request:6910", + "pull_request:6946", + "pull_request:7189", + "pull_request:7226", + "pull_request:7467", + "pull_request:7919", + "pull_request:7934", + "pull_request:821", + "pull_request:8422", + "pull_request:8932", + "pull_request:9086", + "pull_request:9160", + "pull_request:9601", + "pull_request:9682", + "pull_request:9827", + "pull_request:9993" + ], + "soft_pairs": [ + "pull_request:6946|pull_request:7189", + "pull_request:12395|pull_request:12397", + "pull_request:5914|pull_request:7467", + "pull_request:6140|pull_request:7226", + "pull_request:6550|pull_request:6577", + "pull_request:6729|pull_request:6910", + "pull_request:9086|pull_request:9160", + "pull_request:11835|pull_request:11994", + "pull_request:4595|pull_request:5750", + "pull_request:4278|pull_request:5033", + "pull_request:6573|pull_request:7189", + "pull_request:9682|pull_request:9993", + "pull_request:6729|pull_request:6908", + "pull_request:6729|pull_request:6909", + "pull_request:6573|pull_request:6946", + "pull_request:11025|pull_request:12074", + "pull_request:1937|pull_request:3080", + "pull_request:7919|pull_request:9827", + "pull_request:7934|pull_request:9601", + "pull_request:8422|pull_request:8932", + "pull_request:10494|pull_request:11522", + "pull_request:3587|pull_request:4596", + "pull_request:5298|pull_request:6217", + "pull_request:10943|pull_request:11059", + "pull_request:10759|pull_request:10951", + "pull_request:399|pull_request:821" + ], + "prepared_review_unit_hash": "00dcca80d4e4eea5709bfcc211554673a815c8ab16011015857fe1b49b157559", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 102412, + "estimated_input_tokens": 25603, + "estimated_eval_tokens": 51462 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose mix of unrelated PRs; several are in the same subsystem (LoRA/IP-Adapter/Wan/CI) but they fix different concrete problems or add different features. No soft edge looks like a true duplicate/merge candidate.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 6573 is the broadest and most central change in the set, with very high review activity and a substantial loader/pipeline impact, so it is the best single representative PR here.", + "best_issue_reason": null, + "best_pr_reason": "PR 6573 is the strongest representative of the cluster because it spans core IP-Adapter behavior across many pipelines and has the deepest review/discussion footprint.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6946", + "right": "pull_request:7189", + "accept": false, + "reason": "Both touch IP-Adapter, but 6946 is about low_cpu_mem_usage loading, while 7189 fixes embed repetition for Plus variants; different bugs and code paths." + }, + { + "left": "pull_request:12395", + "right": "pull_request:12397", + "accept": false, + "reason": "Both modify CI install steps, but one installs prerelease hub deps for transformers-main testing while the other disables main installs; not the same change." + }, + { + "left": "pull_request:5914", + "right": "pull_request:7467", + "accept": false, + "reason": "SDXL README template cleanup is unrelated to tag shuffling/drop augmentation in LoRA training." + }, + { + "left": "pull_request:6140", + "right": "pull_request:7226", + "accept": false, + "reason": "One adds IP-Adapter API docs, the other expands IP-Adapter embedding support and docs; adjacent, but not the same underlying fix." + }, + { + "left": "pull_request:6550", + "right": "pull_request:6577", + "accept": false, + "reason": "Both are torch.compile compatibility patches, but they target different training scripts and model hooks." + }, + { + "left": "pull_request:6729", + "right": "pull_request:6910", + "accept": false, + "reason": "Both standardize controlnet-style model cards, but for different training scripts and repositories; separate PRs, not one bugfix." + }, + { + "left": "pull_request:9086", + "right": "pull_request:9160", + "accept": false, + "reason": "9086 introduces Flux DreamBooth/LoRA scripts, while 9160 adds latent caching and related training behavior; different features." + }, + { + "left": "pull_request:11835", + "right": "pull_request:11994", + "accept": false, + "reason": "One fixes float16 CUDA test behavior, the other updates hub login/transformers-main CI; unrelated." + }, + { + "left": "pull_request:4595", + "right": "pull_request:5750", + "accept": false, + "reason": "Different unmerged WIP docs/code topics with no shared concrete fix." + }, + { + "left": "pull_request:4278", + "right": "pull_request:5033", + "accept": false, + "reason": "Both are inpainting-related, but they fix different pipelines and different failure modes." + }, + { + "left": "pull_request:6573", + "right": "pull_request:7189", + "accept": false, + "reason": "6573 adds multi-IP-Adapter support broadly; 7189 fixes Plus-embed handling. Same area, different concrete change." + }, + { + "left": "pull_request:9682", + "right": "pull_request:9993", + "accept": false, + "reason": "Both touch SD3 DreamBooth LoRA, but one adds latent caching/updates while the other fixes checkpoint saving logic." + }, + { + "left": "pull_request:6729", + "right": "pull_request:6908", + "accept": false, + "reason": "General model-card standardization versus a specific ControlNet SDXL variant; not the same underlying change." + }, + { + "left": "pull_request:6729", + "right": "pull_request:6909", + "accept": false, + "reason": "General model-card standardization versus a specific ControlNet Flax variant; separate scripts and edits." + }, + { + "left": "pull_request:6573", + "right": "pull_request:6946", + "accept": false, + "reason": "Both involve IP-Adapter, but one is multi-adapter support and the other is low-memory loading; different fixes." + }, + { + "left": "pull_request:11025", + "right": "pull_request:12074", + "accept": false, + "reason": "Both are Wan LoRA work, but 11025 adds non-diffusers Wan i2v conversion while 12074 adds second-denoiser loading and LightX2V support; not mergeable as one PR." + }, + { + "left": "pull_request:1937", + "right": "pull_request:3080", + "accept": false, + "reason": "EMA extraction logic and None-function saving are unrelated conversion/pipeline fixes." + }, + { + "left": "pull_request:7919", + "right": "pull_request:9827", + "accept": false, + "reason": "Both mention device_map/offload behavior, but they fix different loader paths and different failure modes." + }, + { + "left": "pull_request:7934", + "right": "pull_request:9601", + "accept": false, + "reason": "Single-file dict config handling is unrelated to SD3 VAE dtype handling under mixed precision." + }, + { + "left": "pull_request:8422", + "right": "pull_request:8932", + "accept": false, + "reason": "One adds subfolder-loading tests, the other adds temporal transformer coverage; different test targets." + }, + { + "left": "pull_request:10494", + "right": "pull_request:11522", + "accept": false, + "reason": "CI tokenizers install behavior and AudioLDM2 transformers-main compatibility are different problems." + }, + { + "left": "pull_request:3587", + "right": "pull_request:4596", + "accept": false, + "reason": "Community pipeline docs/code and the SDXL conversion script are unrelated." + }, + { + "left": "pull_request:5298", + "right": "pull_request:6217", + "accept": false, + "reason": "Torch.compile fix for LoRA conv layers is unrelated to torch.compile support for Stable Video Diffusion VAE." + }, + { + "left": "pull_request:10943", + "right": "pull_request:11059", + "accept": false, + "reason": "11059 is a follow-up for non-diffusers Wan T2V LoRAs, while 10943 is the broader Wan LoRA enablement; 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unrelated changes." + }, + { + "left": "pull_request:3642", + "right": "pull_request:4465", + "accept": false, + "reason": "TensorRT inpainting pipeline vs ONNX/TensorRT conversion tools; different concrete changes." + }, + { + "left": "pull_request:3680", + "right": "pull_request:5986", + "accept": false, + "reason": "Different docs link fixes on different pages and for different media." + }, + { + "left": "pull_request:377", + "right": "pull_request:386", + "accept": false, + "reason": "Latent Diffusion docs vs Stable Diffusion docs; separate documentation pages." + }, + { + "left": "pull_request:4113", + "right": "pull_request:5675", + "accept": false, + "reason": "Different bugs in different pipelines: inpaint dtype handling vs Flax NSFW filter exception." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 22, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:4145", + "pull_request:4211", + "pull_request:4278", + "pull_request:4540", + "pull_request:4564", + "pull_request:4574", + "pull_request:4582", + "pull_request:4612", + "pull_request:4644", + "pull_request:4717", + "pull_request:4745", + "pull_request:4797", + "pull_request:4946", + "pull_request:5035", + "pull_request:5175", + "pull_request:5207", + "pull_request:5411", + "pull_request:5499", + "pull_request:5626", + "pull_request:5699", + "pull_request:5754", + "pull_request:5986", + "pull_request:6045", + "pull_request:6225", + "pull_request:6308", + "pull_request:6340", + "pull_request:6402", + "pull_request:6534", + "pull_request:6680", + "pull_request:6871", + "pull_request:7182", + "pull_request:7335", + "pull_request:7542", + "pull_request:7764", + "pull_request:7857", + "pull_request:7868", + "pull_request:8470", + "pull_request:8630", + "pull_request:869", + "pull_request:8715", + "pull_request:8720", + "pull_request:874", + "pull_request:8791", + "pull_request:903", + "pull_request:904", + "pull_request:9066", + "pull_request:9775" + ], + "soft_pairs": [ + "pull_request:4145|pull_request:5175", + "pull_request:4211|pull_request:4582", + "pull_request:4540|pull_request:4574", + "pull_request:4564|pull_request:4644", + "pull_request:4582|pull_request:4717", + "pull_request:4612|pull_request:5499", + "pull_request:4797|pull_request:6402", + "pull_request:4946|pull_request:5207", + "pull_request:5035|pull_request:6045", + "pull_request:5411|pull_request:5986", + "pull_request:5626|pull_request:7335", + "pull_request:5699|pull_request:5754", + "pull_request:6225|pull_request:6308", + "pull_request:6340|pull_request:7764", + "pull_request:6534|pull_request:8630", + "pull_request:6680|pull_request:8720", + "pull_request:6871|pull_request:8791", + "pull_request:7182|pull_request:8715", + "pull_request:7542|pull_request:7868", + "pull_request:7857|pull_request:9066", + "pull_request:8470|pull_request:9775", + "pull_request:869|pull_request:874", + "pull_request:903|pull_request:904", + "pull_request:4278|pull_request:4745" + ], + "prepared_review_unit_hash": "48a559d5e483985ed154c8b48baf404a74987e32ef3108cf5f051b3310999f1c", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 95791, + "estimated_input_tokens": 23948, + "estimated_eval_tokens": 48152 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated docs, tests, and training/pipeline PRs that only share broad keywords like SDXL, ControlNet, LoRA, or CPU offload. I don\u2019t see any pair that looks like the same underlying bug or change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "PR 4745 is the strongest standalone fix: it corrects a concrete loading bug in `from_pretrained`, has clear code-path impact, and includes regression tests. It\u2019s still not a canonical duplicate target for the rest of the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4145", + "right": "pull_request:5175", + "accept": false, + "reason": "UnCLIP constructor comment-only draft vs an HF_HOME CI env change; no shared bug/change." + }, + { + "left": "pull_request:4211", + "right": "pull_request:4582", + "accept": false, + "reason": "Different doc fixes in different areas: SDXL img2img/inpaint docstring text vs ControlNet SDXL docstring example." + }, + { + "left": "pull_request:4540", + "right": "pull_request:4574", + "accept": false, + "reason": "One adds a Colab link to DreamBooth README; the other updates InstructPix2Pix README mentions/push_to_hub. Unrelated." + }, + { + "left": "pull_request:4564", + "right": "pull_request:4644", + "accept": false, + "reason": "Both touch `controlnet_sdxl.md`, but one renames the model card/repo and the other rewrites the overview text. Different edits." + }, + { + "left": "pull_request:4582", + "right": "pull_request:4717", + "accept": false, + "reason": "ControlNet SDXL docstring example fix vs missing closing Tip tag in training docs; unrelated changes." + }, + { + "left": "pull_request:4612", + "right": "pull_request:5499", + "accept": false, + "reason": "Both are link fixes, but 4612 only updates one doc while 5499 is a broad cross-doc path cleanup. Not the same change." + }, + { + "left": "pull_request:4797", + "right": "pull_request:6402", + "accept": false, + "reason": "Both involve LoRA training, but 4797 fixes SGM block mapping while 6402 restores gradient checkpointing. Different bugs." + }, + { + "left": "pull_request:4946", + "right": "pull_request:5207", + "accept": false, + "reason": "Training overview TOC update vs a t2i adapter README filename correction; only loosely related docs." + }, + { + "left": "pull_request:5035", + "right": "pull_request:6045", + "accept": false, + "reason": "Import-cleanup to avoid forcing transformers vs LoRA linear layer handling. Different code paths and goals." + }, + { + "left": "pull_request:5411", + "right": "pull_request:5986", + "accept": false, + "reason": "Textual inversion doc link fix vs SVD video link fix; both docs-only but unrelated content." + }, + { + "left": "pull_request:5626", + "right": "pull_request:7335", + "accept": false, + "reason": "CPU offload test assertion cleanup vs ControlNet SDXL config test. Different tests and failure modes." + }, + { + "left": "pull_request:5699", + "right": "pull_request:5754", + "accept": false, + "reason": "Both are style cleanups, but they touch different pipelines/scripts and do not fix the same issue." + }, + { + "left": "pull_request:6225", + "right": "pull_request:6308", + "accept": false, + "reason": "Both are LoRA/PEFT-related, but one fixes alpha parsing and the other adjusts dummy components in tests. Distinct changes." + }, + { + "left": "pull_request:6340", + "right": "pull_request:7764", + "accept": false, + "reason": "AnimateDiff conversion scripts are shared, but one adds the scripts and the other adds safetensor loading support. Not the same fix." + }, + { + "left": "pull_request:6534", + "right": "pull_request:8630", + "accept": false, + "reason": "Torch.compile compatibility in DreamBooth LoRA vs SD3 text-encoder training support. Different feature work." + }, + { + "left": "pull_request:6680", + "right": "pull_request:8720", + "accept": false, + "reason": "Both are slow-test precision/stability fixes, but they target different tests and issues." + }, + { + "left": "pull_request:6871", + "right": "pull_request:8791", + "accept": false, + "reason": "Both add VAE tiling-related support, but for different pipelines/models and code paths." + }, + { + "left": "pull_request:7182", + "right": "pull_request:8715", + "accept": false, + "reason": "EDM-style training support vs adding `clip_skip`; both to the same advanced script but clearly separate features." + }, + { + "left": "pull_request:7542", + "right": "pull_request:7868", + "accept": false, + "reason": "Both touch offload tests, but one fixes a typo and the other changes execution-device assertions. Different problems." + }, + { + "left": "pull_request:7857", + "right": "pull_request:9066", + "accept": false, + "reason": "Separate docs additions for PixArt Sigma and Stable Cascade; no shared underlying change." + }, + { + "left": "pull_request:8470", + "right": "pull_request:9775", + "accept": false, + "reason": "Different README updates for different research projects; unrelated content." + }, + { + "left": "pull_request:869", + "right": "pull_request:874", + "accept": false, + "reason": "Community README improvements, but one fixes an import bug and the other adds an example section. Not the same change." + }, + { + "left": "pull_request:903", + "right": "pull_request:904", + "accept": false, + "reason": "One deprecates the legacy inpaint pipeline; the other changes the inpaint implementation itself. Related area, but not the same fix." + }, + { + "left": "pull_request:4278", + "right": "pull_request:4745", + "accept": false, + "reason": "Both affect Stable Diffusion pipeline behavior, but one fixes `prompt=None` input validation and the other fixes optional-component loading in `from_pretrained`." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 23, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10261", + "pull_request:10351", + "pull_request:10352", + "pull_request:10728", + "pull_request:11025", + "pull_request:11243", + "pull_request:11726", + "pull_request:12086", + "pull_request:12170", + "pull_request:12416", + "pull_request:12714", + "pull_request:13100", + "pull_request:13119", + "pull_request:13148", + "pull_request:3742", + "pull_request:3877", + "pull_request:4062", + "pull_request:4597", + "pull_request:4749", + "pull_request:4847", + "pull_request:4899", + "pull_request:5608", + "pull_request:5914", + "pull_request:5938", + "pull_request:6303", + "pull_request:6402", + "pull_request:6564", + "pull_request:6691", + "pull_request:6816", + "pull_request:7018", + "pull_request:7058", + "pull_request:7086", + "pull_request:7166", + "pull_request:7182", + "pull_request:7235", + "pull_request:7277", + "pull_request:7326", + "pull_request:7372", + "pull_request:8630", + "pull_request:8755", + "pull_request:9086", + "pull_request:9257", + "pull_request:9346", + "pull_request:9355", + "pull_request:9646", + "pull_request:9838", + "pull_request:9993" + ], + "soft_pairs": [ + "pull_request:4847|pull_request:6303", + "pull_request:9646|pull_request:9838", + "pull_request:12086|pull_request:12416", + "pull_request:6564|pull_request:7086", + "pull_request:3877|pull_request:4749", + "pull_request:10351|pull_request:10352", + "pull_request:12714|pull_request:13119", + "pull_request:6691|pull_request:7182", + "pull_request:6816|pull_request:8755", + "pull_request:7235|pull_request:9257", + "pull_request:10261|pull_request:10728", + "pull_request:8630|pull_request:9993", + "pull_request:3742|pull_request:4062", + "pull_request:11025|pull_request:11726", + "pull_request:4597|pull_request:5938", + "pull_request:11243|pull_request:12170", + "pull_request:13100|pull_request:13148", + "pull_request:5914|pull_request:6402", + "pull_request:7372|pull_request:9086", + "pull_request:9346|pull_request:9355", + "pull_request:7018|pull_request:7166", + "pull_request:7277|pull_request:7326", + "pull_request:4597|pull_request:4899", + "pull_request:5608|pull_request:7058" + ], + "prepared_review_unit_hash": "836dd27e31c33d959ad21715cc56d221e1112afbe12f10c8350a22f267525360", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 100507, + "estimated_input_tokens": 25127, + "estimated_eval_tokens": 50510 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: most PRs are unrelated feature additions or small fixes across Flux, Wan, Shap-E, ControlNet, SDXL/SD3 DreamBooth, docs, and tests. The soft edges are mostly driven by shared filenames or subsystem overlap, not the same underlying bug/change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true duplicate PR stands out; if a representative is needed, #10261 is the broadest merged Flux PR in the set, but it is not a duplicate of the others.", + "best_issue_reason": null, + "best_pr_reason": "#10261 is the most substantial and central PR here, but only as a loose cluster representative, not as a duplicate anchor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4847", + "right": "pull_request:6303", + "accept": false, + "reason": "Different community examples and goals: Prompt Free Diffusion vs ADD training scripts." + }, + { + "left": "pull_request:9646", + "right": "pull_request:9838", + "accept": false, + "reason": "Both are Flux training-related, but one changes configurable LoRA target modules while the other fixes a memory/repetition bug; not the same change." + }, + { + "left": "pull_request:12086", + "right": "pull_request:12416", + "accept": false, + "reason": "Different model families and features: modular Flux I2I vs QwenImage Edit Plus support." + }, + { + "left": "pull_request:6564", + "right": "pull_request:7086", + "accept": false, + "reason": "IP Adapter path fix and AnimateDiff img2vid/controlnet bugfix are unrelated." + }, + { + "left": "pull_request:3877", + "right": "pull_request:4749", + "accept": false, + "reason": "SDXL LoRA training script work is broad, but these PRs address different issues: a WIP example vs checkpointing fix." + }, + { + "left": "pull_request:10351", + "right": "pull_request:10352", + "accept": false, + "reason": "Unrelated test fixes in different areas: LoRA utils vs CogVideoX embeddings." + }, + { + "left": "pull_request:12714", + "right": "pull_request:13119", + "accept": false, + "reason": "Both touch Flux2 LoRA tests/conversion, but one fixes a NaN test and the other fixes key normalization for non-diffusers LoRAs." + }, + { + "left": "pull_request:6691", + "right": "pull_request:7182", + "accept": false, + "reason": "Same advanced SDXL training area, but one is a broader feature+bugfix PR and the other adds EDM-style training; not the same underlying change." + }, + { + "left": "pull_request:6816", + "right": "pull_request:8755", + "accept": false, + "reason": "Different scripts and problems: SDXL DDP/PEFT fix vs SD3 text-encoder training bug." + }, + { + "left": "pull_request:7235", + "right": "pull_request:9257", + "accept": false, + "reason": "Different models and codepaths: SDXL DoRA training docs vs Flux DreamBooth tokenizer/prompt handling." + }, + { + "left": "pull_request:10261", + "right": "pull_request:10728", + "accept": false, + "reason": "Same Flux/IP-Adapter area, but #10261 is the original support PR and #10728 is a follow-up quantization-related tweak." + }, + { + "left": "pull_request:8630", + "right": "pull_request:9993", + "accept": false, + "reason": "Same SD3 DreamBooth script, but one adds text-encoder training and the other fixes checkpoint saving logic." + }, + { + "left": "pull_request:3742", + "right": "pull_request:4062", + "accept": false, + "reason": "#4062 extends Shap-E with mesh output, but it is not the same underlying change as the original Shap-E addition." + }, + { + "left": "pull_request:11025", + "right": "pull_request:11726", + "accept": false, + "reason": "Both are Wan LoRA converters, but they address different Wan variants and conversion bugs; too broad to merge as duplicates." + }, + { + "left": "pull_request:4597", + "right": "pull_request:5938", + "accept": false, + "reason": "Both involve ControlNet, but one adds MultiControlNet SDXL support and the other adds ControlNet LoRA support; distinct changes." + }, + { + "left": "pull_request:11243", + "right": "pull_request:12170", + "accept": false, + "reason": "Both are LoRA conversion utilities, but they target different model families (Wan vs Qwen) and different conversion logic." + }, + { + "left": "pull_request:13100", + "right": "pull_request:13148", + "accept": false, + "reason": "Both are docs updates for modular diffusers, but they cover different documentation pages and topics." + }, + { + "left": "pull_request:5914", + "right": "pull_request:6402", + "accept": false, + "reason": "Unrelated fixes: a README/template bug in SDXL DreamBooth vs gradient checkpointing in LoRA training." + }, + { + "left": "pull_request:7018", + "right": "pull_request:7166", + "accept": false, + "reason": "Different SDXL DreamBooth LoRA bugs: gradient unscaling vs a prompt/text-encoder loading issue." + }, + { + "left": "pull_request:7277", + "right": "pull_request:7326", + "accept": false, + "reason": "One is a broad test/deprecation cleanup PR, the other fixes a deepspeed API usage warning; not the same issue." + }, + { + "left": "pull_request:4597", + "right": "pull_request:4899", + "accept": false, + "reason": "Both touch ControlNet, but MultiControlNet SDXL support and ControlNet LoRA support are separate features." + }, + { + "left": "pull_request:5608", + "right": "pull_request:7058", + "accept": false, + "reason": "Both are PEFT/LoRA-related, but one fixes empty network_alpha handling and the other avoids mutating an input state dict; distinct bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 24, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10222", + "pull_request:10279", + "pull_request:10291", + "pull_request:10312", + "pull_request:10316", + "pull_request:10394", + "pull_request:10458", + "pull_request:10524", + "pull_request:10781", + "pull_request:10810", + "pull_request:1087", + "pull_request:10985", + "pull_request:11271", + "pull_request:11431", + "pull_request:11481", + "pull_request:11505", + "pull_request:11529", + "pull_request:11545", + "pull_request:11550", + "pull_request:11552", + "pull_request:11681", + "pull_request:12006", + "pull_request:12562", + "pull_request:1467", + "pull_request:2046", + "pull_request:2915", + "pull_request:3170", + "pull_request:4278", + "pull_request:4714", + "pull_request:4799", + "pull_request:5697", + "pull_request:5738", + "pull_request:5887", + "pull_request:6556", + "pull_request:6573", + "pull_request:689", + "pull_request:7072", + "pull_request:7898", + "pull_request:8406", + "pull_request:8630", + "pull_request:8816", + "pull_request:8820", + "pull_request:8916", + "pull_request:9408", + "pull_request:9463", + "pull_request:9517", + "pull_request:9598", + "pull_request:9705" + ], + "soft_pairs": [ + "pull_request:10312|pull_request:9517", + "pull_request:10781|pull_request:11550", + "pull_request:11431|pull_request:11552", + "pull_request:1467|pull_request:689", + "pull_request:2046|pull_request:3170", + "pull_request:4714|pull_request:5697", + "pull_request:6556|pull_request:8630", + "pull_request:7898|pull_request:8916", + "pull_request:8406|pull_request:9705", + "pull_request:4278|pull_request:4799", + "pull_request:11481|pull_request:11681", + "pull_request:5738|pull_request:7072", + "pull_request:8816|pull_request:9463", + "pull_request:8820|pull_request:9463", + "pull_request:12006|pull_request:12562", + "pull_request:5887|pull_request:6573", + "pull_request:10222|pull_request:11545", + "pull_request:10279|pull_request:10394", + "pull_request:10279|pull_request:11505", + "pull_request:10291|pull_request:9408", + "pull_request:10316|pull_request:11529", + "pull_request:10458|pull_request:9598", + "pull_request:10524|pull_request:11529", + "pull_request:10781|pull_request:11271", + "pull_request:10810|pull_request:10985", + "pull_request:1087|pull_request:2915", + "pull_request:1087|pull_request:689" + ], + "prepared_review_unit_hash": "1068e37fe745313bb10979987b0a4b7e2accd146287609287cb3981fc62cea2d", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 97644, + "estimated_input_tokens": 24411, + "estimated_eval_tokens": 49078 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No true duplicate cluster here: the items span unrelated PRs across docs, tests, and many distinct pipeline/model fixes. I rejected all soft edges because they do not describe the same concrete bug or mergeable change.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:10312", + "right": "pull_request:9517", + "accept": false, + "reason": "Different bugs in different areas: Attention.head_to_batch_dim reshaping vs FLUX joint_attention_kwargs propagation." + }, + { + "left": "pull_request:10781", + "right": "pull_request:11550", + "accept": false, + "reason": "Both add single-file support, but for different models and codepaths (Lumina2 vs HiDream); not the same change." + }, + { + "left": "pull_request:11431", + "right": "pull_request:11552", + "accept": false, + "reason": "Both add torch.compile tests, but they target different transformer models and different behaviors." + }, + { + "left": "pull_request:1467", + "right": "pull_request:689", + "accept": false, + "reason": "Both are generic test-speed fixes, but they touch different tests and different eras of code; not the same underlying issue." + }, + { + "left": "pull_request:2046", + "right": "pull_request:3170", + "accept": false, + "reason": "Both pin huggingface-hub for test/debugging, but they are unrelated setup changes with no shared concrete bug." + }, + { + "left": "pull_request:4714", + "right": "pull_request:5697", + "accept": false, + "reason": "Unrelated fixes: one adjusts a missing-transformers error path, the other fixes PEFT/xformers attention behavior." + }, + { + "left": "pull_request:6556", + "right": "pull_request:8630", + "accept": false, + "reason": "Different goals: torch.compile compatibility for an SDXL LoRA training script vs adding SD3 text-encoder training." + }, + { + "left": "pull_request:7898", + "right": "pull_request:8916", + "accept": false, + "reason": "Both are test additions, but for different models and different coverage; not the same bug or change." + }, + { + "left": "pull_request:8406", + "right": "pull_request:9705", + "accept": false, + "reason": "Different docs/README updates for different training scripts; no shared underlying fix." + }, + { + "left": "pull_request:4278", + "right": "pull_request:4799", + "accept": false, + "reason": "Distinct pipeline bugs: StableDiffusionUpscale prompt handling vs SDXL ControlNet guess_mode conditioning." + }, + { + "left": "pull_request:11481", + "right": "pull_request:11681", + "accept": false, + "reason": "A test rename and device_map docs/behavior clarification are unrelated changes." + }, + { + "left": "pull_request:5738", + "right": "pull_request:7072", + "accept": false, + "reason": "Different features in different areas: LoRA adapter deletion vs DoRA training support." + }, + { + "left": "pull_request:8816", + "right": "pull_request:9463", + "accept": false, + "reason": "Same broad PAG theme, but different pipelines and feature additions; not the same concrete code-path change." + }, + { + "left": "pull_request:8820", + "right": "pull_request:9463", + "accept": false, + "reason": "Both concern PAG support, but one adds SD1.5 ControlNet support and the other adds SD img2img support; separate changes." + }, + { + "left": "pull_request:12006", + "right": "pull_request:12562", + "accept": false, + "reason": "Unrelated pipeline work: Wan i2v feature addition vs a context-parallel crash fix." + }, + { + "left": "pull_request:5887", + "right": "pull_request:6573", + "accept": false, + "reason": "Both mention adapters, but one adds IP-Adapter support to ControlNet inpaint and the other supports multiple IP-Adapters; different changes." + }, + { + "left": "pull_request:10222", + "right": "pull_request:11545", + "accept": false, + "reason": "Different pipeline fixes in different subsystems: PyTorch XLA support vs missing VAE slicing/tiling methods." + }, + { + "left": "pull_request:10279", + "right": "pull_request:10394", + "accept": false, + "reason": "Both are doc-link fixes, but they affect unrelated documentation pages." + }, + { + "left": "pull_request:10279", + "right": "pull_request:11505", + "accept": false, + "reason": "Unrelated documentation corrections; same broad doc category only." + }, + { + "left": "pull_request:10291", + "right": "pull_request:9408", + "accept": false, + "reason": "One is a Flux ControlNet inpainting config bug; the other is a broader Flux ControlNet img2img/inpaint feature addition." + }, + { + "left": "pull_request:10316", + "right": "pull_request:11529", + "accept": false, + "reason": "Different docs updates for different pages and purposes; not duplicates." + }, + { + "left": "pull_request:10458", + "right": "pull_request:9598", + "accept": false, + "reason": "One marks tests slow/nightly, the other adds a version note in a different test file; unrelated." + }, + { + "left": "pull_request:10524", + "right": "pull_request:11529", + "accept": false, + "reason": "Different documentation updates for different topics; no shared bug or change." + }, + { + "left": "pull_request:10781", + "right": "pull_request:11271", + "accept": false, + "reason": "Both are single-file-related, but for different models and different checkpoints; not the same change." + }, + { + "left": "pull_request:10810", + "right": "pull_request:10985", + "accept": false, + "reason": "Both are Flux LoRA-related, but they solve different conversion/support problems and are not the same concrete fix." + }, + { + "left": "pull_request:1087", + "right": "pull_request:2915", + "accept": false, + "reason": "Both touch slow-test tolerances, but they change different tests and different assertions." + }, + { + "left": "pull_request:1087", + "right": "pull_request:689", + "accept": false, + "reason": "Unrelated test/stability tweaks in different modules; no common underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 25, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10991", + "pull_request:11107", + "pull_request:1130", + "pull_request:11426", + "pull_request:11427", + "pull_request:11449", + "pull_request:11451", + "pull_request:11511", + "pull_request:11537", + "pull_request:1167", + "pull_request:11825", + "pull_request:11920", + "pull_request:11955", + "pull_request:1210", + "pull_request:1234", + "pull_request:12464", + "pull_request:12739", + "pull_request:1275", + "pull_request:13069", + "pull_request:13076", + "pull_request:1319", + "pull_request:13253", + "pull_request:1386", + "pull_request:1420", + "pull_request:1960", + "pull_request:1967", + "pull_request:1998", + "pull_request:2271", + "pull_request:2384", + "pull_request:2734", + "pull_request:2836", + "pull_request:2846", + "pull_request:2887", + "pull_request:2897", + "pull_request:2915", + "pull_request:3201", + "pull_request:3217", + "pull_request:3265", + "pull_request:3633", + "pull_request:3863", + "pull_request:4227", + "pull_request:4749", + "pull_request:4893", + "pull_request:564", + "pull_request:689", + "pull_request:930", + "pull_request:975" + ], + "soft_pairs": [ + "pull_request:10991|pull_request:11107", + "pull_request:1130|pull_request:3201", + "pull_request:1130|pull_request:3265", + "pull_request:1130|pull_request:930", + "pull_request:11426|pull_request:11449", + "pull_request:11427|pull_request:11449", + "pull_request:11451|pull_request:11920", + "pull_request:11451|pull_request:11955", + "pull_request:11511|pull_request:11537", + "pull_request:11537|pull_request:11825", + "pull_request:1167|pull_request:1998", + "pull_request:1210|pull_request:2915", + "pull_request:1210|pull_request:689", + "pull_request:1234|pull_request:2887", + "pull_request:12464|pull_request:13076", + "pull_request:12739|pull_request:13253", + "pull_request:1275|pull_request:975", + "pull_request:13069|pull_request:13253", + "pull_request:1319|pull_request:564", + "pull_request:1386|pull_request:1420", + "pull_request:1960|pull_request:1998", + "pull_request:1967|pull_request:3633", + "pull_request:2271|pull_request:2915", + "pull_request:2271|pull_request:689", + "pull_request:2384|pull_request:3217", + "pull_request:2734|pull_request:3863", + "pull_request:2836|pull_request:4749", + "pull_request:2846|pull_request:2915", + "pull_request:2846|pull_request:689", + "pull_request:2897|pull_request:4227", + "pull_request:2897|pull_request:4893", + "pull_request:2897|pull_request:930" + ], + "prepared_review_unit_hash": "001ef87af3fad0372d8421550bba08cc186ebbbcff6b2a668582f272b652abce", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 32, + "serialized_chars": 94365, + "estimated_input_tokens": 23592, + "estimated_eval_tokens": 47440 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: it mixes Wan feature work, LoRA compatibility, training-script interpolation tweaks, compile-test additions, docs fixes, and unrelated utilities. I found no true duplicate pair among the soft candidates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a canonical representative for the cluster; the items do not share one underlying bug/change and mostly touch unrelated files or themes.", + "best_issue_reason": null, + "best_pr_reason": "10991 is the strongest standalone PR here because it is a substantive, merged feature with code, docs, and tests, but it still is not a duplicate target for the other items.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10991", + "right": "pull_request:11107", + "accept": false, + "reason": "Different Wan changes: single-file loading support vs LoRA compatibility for I2V, not the same bug or patch." + }, + { + "left": "pull_request:1130", + "right": "pull_request:3201", + "accept": false, + "reason": "One adds pipeline features; the other is a revert of a later community-pipeline update. Different change sets." + }, + { + "left": "pull_request:1130", + "right": "pull_request:3265", + "accept": false, + "reason": "Same file name, but this is the original feature work vs a later revert-of-revert. Not the same concrete change." + }, + { + "left": "pull_request:1130", + "right": "pull_request:930", + "accept": false, + "reason": "Feature code in a community pipeline vs documentation toctree restructuring; unrelated changes." + }, + { + "left": "pull_request:11426", + "right": "pull_request:11449", + "accept": false, + "reason": "Both add interpolation options, but to different training scripts and different code paths." + }, + { + "left": "pull_request:11427", + "right": "pull_request:11449", + "accept": false, + "reason": "Same interpolation theme, but text-to-image LoRA training and ControlNet training are distinct scripts and fixes." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11920", + "accept": false, + "reason": "Wan torch.compile test vs Wan pipeline test slices; different goals and artifacts." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11955", + "accept": false, + "reason": "Compile test for a model vs pipeline slice tests; same model family but not the same underlying change." + }, + { + "left": "pull_request:11511", + "right": "pull_request:11537", + "accept": false, + "reason": "Both are compile-related tests, but for different models and test modules." + }, + { + "left": "pull_request:11537", + "right": "pull_request:11825", + "accept": false, + "reason": "UNet compile-test plumbing vs a hotswapping/resolution-change test; related theme, not the same fix." + }, + { + "left": "pull_request:1167", + "right": "pull_request:1998", + "accept": false, + "reason": "Unrelated README edits in different places and for different purposes." + }, + { + "left": "pull_request:1210", + "right": "pull_request:2915", + "accept": false, + "reason": "Both address slow tests, but for different pipelines and different assertions." + }, + { + "left": "pull_request:1210", + "right": "pull_request:689", + "accept": false, + "reason": "Scheduler/pipeline test speed cleanup vs attention implementation performance change; not the same underlying issue." + }, + { + "left": "pull_request:1234", + "right": "pull_request:2887", + "accept": false, + "reason": "A new sampling script vs batched validation sampling in ControlNet training; different functionality." + }, + { + "left": "pull_request:12464", + "right": "pull_request:13076", + "accept": false, + "reason": "Both are docs syntax fixes, but in unrelated documentation pages and different subject matter." + }, + { + "left": "pull_request:12739", + "right": "pull_request:13253", + "accept": false, + "reason": "Type-check export fix for Z-Image vs a Z-Image test refactor; not the same concrete change." + }, + { + "left": "pull_request:1275", + "right": "pull_request:975", + "accept": false, + "reason": "Different documentation typo fixes in different pages; no shared underlying bug." + }, + { + "left": "pull_request:13069", + "right": "pull_request:13253", + "accept": false, + "reason": "Qwen Image test refactor vs Z-Image test refactor; different models and different test modules." + }, + { + "left": "pull_request:1319", + "right": "pull_request:564", + "accept": false, + "reason": "Flax scheduler loading-from-subfolder fix vs broader Flax scheduler doc/behavior cleanup; not the same patch." + }, + { + "left": "pull_request:1386", + "right": "pull_request:1420", + "accept": false, + "reason": "Feature change to add v-prediction vs tests for SD2 v-prediction; related, but not the same concrete change." + }, + { + "left": "pull_request:1960", + "right": "pull_request:1998", + "accept": false, + "reason": "Two unrelated README/documentation updates." + }, + { + "left": "pull_request:1967", + "right": "pull_request:3633", + "accept": false, + "reason": "CPU offload example tweak vs temporary dependency pinning for hub release testing; unrelated." + }, + { + "left": "pull_request:2271", + "right": "pull_request:2915", + "accept": false, + "reason": "Slow-test threshold adjustments for different pipelines and different behaviors." + }, + { + "left": "pull_request:2271", + "right": "pull_request:689", + "accept": false, + "reason": "Slow-test fixes vs attention kernel implementation speed change; not the same issue." + }, + { + "left": "pull_request:2384", + "right": "pull_request:3217", + "accept": false, + "reason": "Pix2PixZero utility removal/revert vs adding a PIL conversion utility; different code paths and intents." + }, + { + "left": "pull_request:2734", + "right": "pull_request:3863", + "accept": false, + "reason": "Both update Habana docs, but to different versions/config details; not one underlying change." + }, + { + "left": "pull_request:2836", + "right": "pull_request:4749", + "accept": false, + "reason": "DreamBooth guide link fix vs SDXL LoRA checkpointing fix; unrelated areas." + }, + { + "left": "pull_request:2846", + "right": "pull_request:2915", + "accept": false, + "reason": "Slow-test fix for Stable UnCLIP img2img vs slow-test fix for textual inversion; different pipelines." + }, + { + "left": "pull_request:2897", + "right": "pull_request:4227", + "accept": false, + "reason": "Stable UnCLIP pipeline docs example vs missing import in textual inversion docs; unrelated." + }, + { + "left": "pull_request:2897", + "right": "pull_request:4893", + "accept": false, + "reason": "Stable UnCLIP docs example vs LoRA fusion docs; both docs, but different topics and changes." + }, + { + "left": "pull_request:2897", + "right": "pull_request:930", + "accept": false, + "reason": "Stable UnCLIP docs example vs community-pipeline docs restructuring; unrelated documentation updates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 26, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10349", + "pull_request:3163", + "pull_request:3165", + "pull_request:3680", + "pull_request:3941", + "pull_request:3962", + "pull_request:4175", + "pull_request:4258", + "pull_request:4267", + "pull_request:4365", + "pull_request:4574", + "pull_request:4582", + "pull_request:4632", + "pull_request:4644", + "pull_request:4707", + "pull_request:5144", + "pull_request:5175", + "pull_request:5329", + "pull_request:5411", + "pull_request:5499", + "pull_request:5550", + "pull_request:5738", + "pull_request:6035", + "pull_request:6106", + "pull_request:6282", + "pull_request:6361", + "pull_request:6440", + "pull_request:6526", + "pull_request:6837", + "pull_request:7233", + "pull_request:7301", + "pull_request:7335", + "pull_request:7916", + "pull_request:7956", + "pull_request:7963", + "pull_request:8765", + "pull_request:8810", + "pull_request:8864", + "pull_request:9139", + "pull_request:9386", + "pull_request:9408", + "pull_request:9473", + "pull_request:9553", + "pull_request:9627", + "pull_request:9705", + "pull_request:9775", + "pull_request:9827", + "pull_request:9843" + ], + "soft_pairs": [ + "pull_request:3163|pull_request:3165", + "pull_request:3680|pull_request:5411", + "pull_request:3941|pull_request:5411", + "pull_request:3962|pull_request:5550", + "pull_request:4175|pull_request:5175", + "pull_request:4258|pull_request:4574", + "pull_request:4267|pull_request:4582", + "pull_request:4365|pull_request:4632", + "pull_request:4644|pull_request:6526", + "pull_request:4707|pull_request:5329", + "pull_request:5144|pull_request:6837", + "pull_request:5499|pull_request:6440", + "pull_request:5738|pull_request:7233", + "pull_request:6035|pull_request:6106", + "pull_request:6035|pull_request:6282", + "pull_request:6106|pull_request:6361", + "pull_request:7301|pull_request:7335", + "pull_request:7916|pull_request:7956", + "pull_request:7963|pull_request:9408", + "pull_request:8810|pull_request:9386", + "pull_request:8864|pull_request:9386", + "pull_request:9139|pull_request:9705", + "pull_request:9473|pull_request:9827", + "pull_request:9553|pull_request:9775", + "pull_request:9627|pull_request:9843", + "pull_request:10349|pull_request:8765" + ], + "prepared_review_unit_hash": "8ec867efbaf684a546c8ba98204aeac994cf6d52a7646d4189818a0411763b9e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 98615, + "estimated_input_tokens": 24654, + "estimated_eval_tokens": 49564 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose grab-bag of unrelated diffusers PRs. The soft links mostly come from shared subsystems or filenames (docs, examples, ControlNet, LoRA, PAG, Flux), but the underlying changes are distinct and should not be deduplicated.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR cleanly represents the cluster; the candidates cover separate docs edits, example-script fixes, tests, and different pipeline features rather than one duplicated change.", + "best_issue_reason": null, + "best_pr_reason": "PR 9408 is the strongest representative among the set: it is a substantial, multi-file feature PR with concrete code-path changes and tests, unlike the mostly small doc/example edits around it.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3163", + "right": "pull_request:3165", + "accept": false, + "reason": "Both touch custom_diffusion docs, but one credits the author while the other tweaks wording/spacing; unrelated changes." + }, + { + "left": "pull_request:3680", + "right": "pull_request:5411", + "accept": false, + "reason": "Both are docs fixes, but one repairs a loader-method link and the other fixes a broken training-doc link for textual inversion; different targets." + }, + { + "left": "pull_request:3941", + "right": "pull_request:5411", + "accept": false, + "reason": "Different documentation issues: one imports torch and fixes a broken path in loading docs, the other fixes textual inversion training link text." + }, + { + "left": "pull_request:3962", + "right": "pull_request:5550", + "accept": false, + "reason": "Both correct docs URLs, but for different checkpoint pages and different models; not the same change." + }, + { + "left": "pull_request:4175", + "right": "pull_request:5175", + "accept": false, + "reason": "One adds a ControlNet WebDataset training example; the other is a CI env tweak. 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Shared platform, different changes." + }, + { + "left": "pull_request:7963", + "right": "pull_request:9408", + "accept": false, + "reason": "Different ControlNet feature work: custom timesteps/sigmas versus new Flux ControlNet img2img/inpaint pipelines." + }, + { + "left": "pull_request:8810", + "right": "pull_request:9386", + "accept": false, + "reason": "Both add PAG support, but for different pipelines (SD ControlNet img2img vs SD inpaint). Too different to merge as one PR." + }, + { + "left": "pull_request:8864", + "right": "pull_request:9386", + "accept": false, + "reason": "Same PAG area, but one targets ControlNet img2img while the other targets inpaint; distinct pipeline features." + }, + { + "left": "pull_request:9139", + "right": "pull_request:9705", + "accept": false, + "reason": "Both concern Flux Dreambooth/LoRA docs and scripts, but one is a broad bug-fix/update bundle and the other is minor README updates." + }, + { + "left": "pull_request:9473", + "right": "pull_request:9827", + "accept": false, + "reason": "One fixes a Flux optimizer LR bug; the other fixes LoRA device-map handling. Different defects." + }, + { + "left": "pull_request:9553", + "right": "pull_request:9775", + "accept": false, + "reason": "One updates distributed inference docs for transformer device maps; the other adds an NF4 T5-xxl note in a Flux quantization README. Unrelated." + }, + { + "left": "pull_request:9627", + "right": "pull_request:9843", + "accept": false, + "reason": "Both are LoRA tests, but they cover different models and failure modes; not the same underlying change." + }, + { + "left": "pull_request:10349", + "right": "pull_request:8765", + "accept": false, + "reason": "One fixes single-file model-type inference logic; the other fixes docs API usage text. No shared bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 27, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10261", + "pull_request:10867", + "pull_request:10985", + "pull_request:11059", + "pull_request:11067", + "pull_request:11243", + "pull_request:11292", + "pull_request:11512", + "pull_request:11552", + "pull_request:11670", + "pull_request:11704", + "pull_request:1229", + "pull_request:12330", + "pull_request:12353", + "pull_request:12541", + "pull_request:12660", + "pull_request:12970", + "pull_request:13099", + "pull_request:192", + "pull_request:2128", + "pull_request:2172", + "pull_request:2557", + "pull_request:2595", + "pull_request:4227", + "pull_request:4795", + "pull_request:5615", + "pull_request:5738", + "pull_request:5807", + "pull_request:6174", + "pull_request:6217", + "pull_request:6327", + "pull_request:6787", + "pull_request:6864", + "pull_request:6965", + "pull_request:6968", + "pull_request:7189", + "pull_request:7235", + "pull_request:7820", + "pull_request:8282", + "pull_request:8798", + "pull_request:8902", + "pull_request:8919", + "pull_request:8985", + "pull_request:903", + "pull_request:9061", + "pull_request:9257", + "pull_request:9682", + "pull_request:9709" + ], + "soft_pairs": [ + "pull_request:11704|pull_request:12541", + "pull_request:2128|pull_request:2172", + "pull_request:8919|pull_request:8985", + "pull_request:9257|pull_request:9682", + "pull_request:7189|pull_request:7820", + "pull_request:11670|pull_request:12330", + "pull_request:10985|pull_request:11243", + "pull_request:11059|pull_request:11292", + "pull_request:5615|pull_request:6965", + "pull_request:5738|pull_request:7235", + "pull_request:5807|pull_request:6787", + "pull_request:8798|pull_request:8902", + "pull_request:11067|pull_request:9709", + "pull_request:11512|pull_request:11552", + "pull_request:1229|pull_request:2557", + "pull_request:12353|pull_request:13099", + "pull_request:192|pull_request:903", + "pull_request:2128|pull_request:2595", + "pull_request:4227|pull_request:6174", + "pull_request:4795|pull_request:6217", + "pull_request:6864|pull_request:8282", + "pull_request:8902|pull_request:9061", + "pull_request:10261|pull_request:10867", + "pull_request:12660|pull_request:12970", + "pull_request:6327|pull_request:6968" + ], + "prepared_review_unit_hash": "ad8cf8a8476b593d5b88ab6d43d5925b6f3165fefa79c2eda6600a1042e109c8", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 96551, + "estimated_input_tokens": 24138, + "estimated_eval_tokens": 48532 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is heterogeneous: Flux IP-Adapter support, Wan/SDXL LoRA conversion fixes, torch.compile test additions, checkpoint-loading fixes, and assorted docs/CI changes. None of the soft pairs look like true duplicates under a strict triage standard.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR fits the whole cluster; the items span several unrelated features and bug fixes rather than one underlying change.", + "best_issue_reason": null, + "best_pr_reason": "PR 10261 is the best overall anchor only because it is the largest, most feature-complete change and has explicit issue links, but it still represents just the Flux IP-Adapter subtheme, not the whole cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11704", + "right": "pull_request:12541", + "accept": false, + "reason": "Both touch Wan LoRA conversion, but they fix different concrete formats: AccVideo low-magnitude diff weights vs latest few-step Wan head-head keys." + }, + { + "left": "pull_request:2128", + "right": "pull_request:2172", + "accept": false, + "reason": "Different problems: disabling LoRA after use vs making validation work in multi-GPU training scripts." + }, + { + "left": "pull_request:8919", + "right": "pull_request:8985", + "accept": false, + "reason": "Both add transformer tests, but for different models and goals (Latte coverage vs shrinking Lumina test size)." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9682", + "accept": false, + "reason": "Both are dreambooth script fixes, but they address different scripts and bugs (Flux tokenization alignment vs SD3 latent caching/prior-preservation changes)." + }, + { + "left": "pull_request:7189", + "right": "pull_request:7820", + "accept": false, + "reason": "Both involve IP-Adapter plumbing, but one fixes plus-image-embed handling broadly while the other adds support to InstructPix2Pix pipelines." + }, + { + "left": "pull_request:11670", + "right": "pull_request:12330", + "accept": false, + "reason": "Related test area, but one adds a compile+group-offloading test and the other cleans up/removes pipeline-level group-offloading tests." + }, + { + "left": "pull_request:10985", + "right": "pull_request:11243", + "accept": false, + "reason": "Same conversion file, but distinct LoRA families: ComfyUI Flux LoRAs vs musubi Wan LoRAs." + }, + { + "left": "pull_request:11059", + "right": "pull_request:11292", + "accept": false, + "reason": "Both are Wan/SDXL LoRA conversion work, but they fix different conversion heuristics and target different model families." + }, + { + "left": "pull_request:5615", + "right": "pull_request:6965", + "accept": false, + "reason": "These are different pipeline-specific LoRA fixes: reverting SDXL Adapter load_lora behavior vs adding IP-Adapter support to InstructPix2Pix." + }, + { + "left": "pull_request:5738", + "right": "pull_request:7235", + "accept": false, + "reason": "Unrelated changes: LoRA layer deletion API vs DoRA training support in SDXL dreambooth." + }, + { + "left": "pull_request:5807", + "right": "pull_request:6787", + "accept": false, + "reason": "One is a community pipeline prompt-embedding feature; the other fixes image normalization in Marigold depth estimation." + }, + { + "left": "pull_request:8798", + "right": "pull_request:8902", + "accept": false, + "reason": "Both concern sharded checkpoint loading, but one fixes subfolder handling and the other adjusts variant-compatible sibling resolution; separate code paths." + }, + { + "left": "pull_request:11067", + "right": "pull_request:9709", + "accept": false, + "reason": "Different CI constraints: benchmarking transformer pin vs overall max torch version pin." + }, + { + "left": "pull_request:11512", + "right": "pull_request:11552", + "accept": false, + "reason": "Both add torch.compile tests, but they target different models and files, so they are not the same fix." + }, + { + "left": "pull_request:1229", + "right": "pull_request:2557", + "accept": false, + "reason": "Completely different scope: a README wording tweak vs adding intermediate logging to dreambooth training." + }, + { + "left": "pull_request:12353", + "right": "pull_request:13099", + "accept": false, + "reason": "Implementation vs documentation for AutoModel custom code support; not the same underlying change." + }, + { + "left": "pull_request:192", + "right": "pull_request:903", + "accept": false, + "reason": "Different topics: README parameter alignment vs inpainting pipeline deprecation and legacy pipeline handling." + }, + { + "left": "pull_request:2128", + "right": "pull_request:2595", + "accept": false, + "reason": "No shared bug or code path; LoRA disablement and scheduler switching are unrelated." + }, + { + "left": "pull_request:4227", + "right": "pull_request:6174", + "accept": false, + "reason": "Both are docs-only, but they document unrelated examples and fixes." + }, + { + "left": "pull_request:4795", + "right": "pull_request:6217", + "accept": false, + "reason": "Both are torch.compile-related fixes, but they patch different models (ControlNet vs Stable Video Diffusion VAE)." + }, + { + "left": "pull_request:6864", + "right": "pull_request:8282", + "accept": false, + "reason": "Both are documentation additions, but for different PEFT/I2VGen topics." + }, + { + "left": "pull_request:8902", + "right": "pull_request:9061", + "accept": false, + "reason": "Different checkpoint-loading issues: one is a core variant/sibling selection fix, the other is dispatching sharded checkpoints correctly when variants are present." + }, + { + "left": "pull_request:10261", + "right": "pull_request:10867", + "accept": false, + "reason": "10867 extends Flux IP-Adapter to multiple adapters; 10261 adds initial Flux IP-Adapter support. Related area, but not the same concrete change." + }, + { + "left": "pull_request:6327", + "right": "pull_request:6968", + "accept": false, + "reason": "Both touch the advanced SDXL LoRA script, but they fix different bugs and training behaviors, so they are not mergeable as one duplicate change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 28, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10183", + "pull_request:1026", + "pull_request:10279", + "pull_request:10299", + "pull_request:10323", + "pull_request:10376", + "pull_request:10418", + "pull_request:10544", + "pull_request:10633", + "pull_request:10975", + "pull_request:11025", + "pull_request:1130", + "pull_request:11338", + "pull_request:11451", + "pull_request:11473", + "pull_request:11529", + "pull_request:11541", + "pull_request:11550", + "pull_request:11623", + "pull_request:11778", + "pull_request:11954", + "pull_request:12183", + "pull_request:12681", + "pull_request:12750", + "pull_request:13039", + "pull_request:13069", + "pull_request:13209", + "pull_request:13344", + "pull_request:1346", + "pull_request:2839", + "pull_request:2994", + "pull_request:3197", + "pull_request:3299", + "pull_request:4632", + "pull_request:4799", + "pull_request:4910", + "pull_request:5906", + "pull_request:5986", + "pull_request:6004", + "pull_request:6402", + "pull_request:6999", + "pull_request:7934", + "pull_request:8571", + "pull_request:8755", + "pull_request:9008", + "pull_request:9139", + "pull_request:9827" + ], + "soft_pairs": [ + "pull_request:8755|pull_request:9139", + "pull_request:2994|pull_request:4632", + "pull_request:3299|pull_request:4910", + "pull_request:5906|pull_request:6402", + "pull_request:5986|pull_request:6004", + "pull_request:8571|pull_request:9008", + "pull_request:10376|pull_request:11025", + "pull_request:7934|pull_request:9827", + "pull_request:4799|pull_request:6999", + "pull_request:12681|pull_request:13039", + "pull_request:10183|pull_request:11550", + "pull_request:1026|pull_request:2839", + "pull_request:10279|pull_request:11473", + "pull_request:10299|pull_request:11529", + "pull_request:10323|pull_request:10418", + "pull_request:10544|pull_request:10633", + "pull_request:10975|pull_request:11778", + "pull_request:1130|pull_request:3197", + "pull_request:11338|pull_request:12183", + "pull_request:11451|pull_request:11954", + "pull_request:11541|pull_request:11623", + "pull_request:12750|pull_request:13209", + "pull_request:13069|pull_request:13344", + "pull_request:1346|pull_request:2839" + ], + "prepared_review_unit_hash": "50b61f20847d2fa0893845fde603095fdf8596c48d5a2dc2917adb992f578d05", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 93724, + "estimated_input_tokens": 23431, + "estimated_eval_tokens": 47118 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated docs/tests/feature PRs; 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no shared issue or code path." + }, + { + "left": "pull_request:10323", + "right": "pull_request:10418", + "accept": false, + "reason": "Both fix internal documentation links, but in different pages and subsystems; not one underlying change." + }, + { + "left": "pull_request:10544", + "right": "pull_request:10633", + "accept": false, + "reason": "ParaAttention docs versus Flux IP-Adapter docs are different feature additions, not duplicates." + }, + { + "left": "pull_request:10975", + "right": "pull_request:11778", + "accept": false, + "reason": "Both are Wan-related, but one fixes pipeline bugs and the other fixes VACE mask padding; separate code paths." + }, + { + "left": "pull_request:1130", + "right": "pull_request:3197", + "accept": false, + "reason": "Both involve lpw_stable_diffusion, but one is a community example tweak and the other is a broader pipeline rewrite; not the same change." + }, + { + "left": "pull_request:11338", + "right": "pull_request:12183", + "accept": false, + "reason": "LoRA docs plumbing versus adding a LoRA button to QwenImage docs are unrelated." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11954", + "accept": false, + "reason": "Different test additions for different video/Wan models; 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The other pair verdicts also stay conservative and do not overstate duplicate evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 29, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:178", + "pull_request:1927", + "pull_request:2330", + "pull_request:2464", + "pull_request:2526", + "pull_request:2559", + "pull_request:2678", + "pull_request:2699", + "pull_request:2767", + "pull_request:3397", + "pull_request:3458", + "pull_request:3460", + "pull_request:3472", + "pull_request:3504", + "pull_request:3568", + "pull_request:3626", + "pull_request:3852", + "pull_request:386", + "pull_request:3945", + "pull_request:3971", + "pull_request:4237", + "pull_request:4238", + "pull_request:4258", + "pull_request:4540", + "pull_request:4556", + "pull_request:4582", + "pull_request:4612", + "pull_request:4652", + "pull_request:4893", + "pull_request:4947", + "pull_request:5051", + "pull_request:5078", + "pull_request:5090", + "pull_request:5101", + "pull_request:5144", + "pull_request:5180", + "pull_request:5244", + "pull_request:5568", + "pull_request:5674", + "pull_request:5914", + "pull_request:6106", + "pull_request:6282", + "pull_request:6402", + "pull_request:6556", + "pull_request:6775", + "pull_request:7086", + "pull_request:7196", + "pull_request:903" + ], + "soft_pairs": [ + "pull_request:178|pull_request:903", + "pull_request:1927|pull_request:386", + "pull_request:2330|pull_request:2699", + "pull_request:2464|pull_request:2767", + "pull_request:2526|pull_request:2678", + "pull_request:2559|pull_request:4582", + "pull_request:3397|pull_request:3852", + "pull_request:3458|pull_request:3626", + "pull_request:3460|pull_request:3626", + "pull_request:3472|pull_request:4893", + "pull_request:3504|pull_request:5568", + "pull_request:3568|pull_request:5101", + "pull_request:3945|pull_request:6282", + "pull_request:3971|pull_request:4237", + "pull_request:3971|pull_request:4238", + "pull_request:4258|pull_request:4540", + "pull_request:4556|pull_request:4582", + "pull_request:4612|pull_request:5180", + "pull_request:4652|pull_request:5914", + "pull_request:4652|pull_request:6402", + "pull_request:4947|pull_request:7196", + "pull_request:5051|pull_request:5674", + "pull_request:5078|pull_request:6556", + "pull_request:5090|pull_request:7086", + "pull_request:5144|pull_request:6775", + "pull_request:5244|pull_request:6106", + "pull_request:5244|pull_request:6282" + ], + "prepared_review_unit_hash": "c0201fa73044543320292160984ebd81fde0e54ba6542317599bfa55f5bf23b2", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 97850, + "estimated_input_tokens": 24463, + "estimated_eval_tokens": 49182 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated docs changes, test fixes, and separate training/pipeline bug fixes across many different code paths. 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unrelated." + }, + { + "left": "pull_request:5144", + "right": "pull_request:6775", + "accept": false, + "reason": "BLIP Diffusion sample-code punctuation vs a scheduler doc parameter addition; unrelated." + }, + { + "left": "pull_request:5244", + "right": "pull_request:6106", + "accept": false, + "reason": "Different training scripts and different fixes; only both are example/training-related." + }, + { + "left": "pull_request:5244", + "right": "pull_request:6282", + "accept": false, + "reason": "Kandinsky training fix vs DreamBooth runtime error fix; unrelated code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 30, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11532", + "pull_request:11660", + "pull_request:11994", + "pull_request:12439", + "pull_request:12681", + "pull_request:12687", + "pull_request:12812", + "pull_request:12914", + "pull_request:1370", + "pull_request:2193", + "pull_request:3779", + "pull_request:3859", + "pull_request:4098", + "pull_request:4295", + "pull_request:4417", + "pull_request:5506", + "pull_request:5945", + "pull_request:6035", + "pull_request:6145", + "pull_request:6174", + "pull_request:6184", + "pull_request:6361", + "pull_request:6403", + "pull_request:6440", + "pull_request:6537", + "pull_request:6566", + "pull_request:6655", + "pull_request:6837", + "pull_request:6875", + "pull_request:6962", + "pull_request:7029", + "pull_request:7124", + "pull_request:7227", + "pull_request:7233", + "pull_request:7236", + "pull_request:7260", + "pull_request:7425", + "pull_request:830", + "pull_request:833", + "pull_request:8616", + "pull_request:869", + "pull_request:8715", + "pull_request:874", + "pull_request:879", + "pull_request:9017", + "pull_request:9257", + "pull_request:930" + ], + "soft_pairs": [ + "pull_request:5945|pull_request:6962", + "pull_request:6035|pull_request:6403", + "pull_request:6035|pull_request:7124", + "pull_request:6145|pull_request:6537", + "pull_request:6174|pull_request:6837", + "pull_request:6174|pull_request:7425", + "pull_request:6361|pull_request:6403", + "pull_request:6440|pull_request:7029", + "pull_request:6566|pull_request:8715", + "pull_request:6655|pull_request:7124", + "pull_request:6875|pull_request:7260", + "pull_request:7227|pull_request:7236", + "pull_request:830|pull_request:833", + "pull_request:869|pull_request:879", + "pull_request:874|pull_request:930", + "pull_request:4295|pull_request:4417", + "pull_request:2193|pull_request:3779", + "pull_request:5506|pull_request:6184", + "pull_request:12439|pull_request:12812", + "pull_request:11994|pull_request:12681", + "pull_request:3859|pull_request:4098", + "pull_request:7233|pull_request:9257", + "pull_request:8616|pull_request:9017", + "pull_request:11532|pull_request:11660", + "pull_request:12687|pull_request:12914", + "pull_request:1370|pull_request:874" + ], + "prepared_review_unit_hash": "b8b112a4d6dc8b324e697c7ed5d9d34fa2f70d915af1eb545dcaf647968ad460", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 98805, + "estimated_input_tokens": 24702, + "estimated_eval_tokens": 49660 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: mostly unrelated docs, tests, typos, and feature PRs with only superficial same-file similarity. None of the soft edges look like true duplicates or mergeable into one PR.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the items span unrelated changes across LoRA, docs, tests, release/versioning, and attention backend work.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good global representative; the cluster does not center on one underlying bug or feature change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5945", + "right": "pull_request:6962", + "accept": false, + "reason": "Both touch PixArt tests, but one removes fast tests and the other adjusts slow-test determinism; different fixes, not the same bug." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6403", + "accept": false, + "reason": "Same SDXL training script, but one only improves help text and the other adds WebUI-format support; distinct changes." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7124", + "accept": false, + "reason": "One adds help text for a dataset arg; the other renames a validation kwarg. Same file, different issues." + }, + { + "left": "pull_request:6145", + "right": "pull_request:6537", + "accept": false, + "reason": "Both update LCM distillation scripts, but one is comment cleanup and the other adds target-model validation support." + }, + { + "left": "pull_request:6174", + "right": "pull_request:6837", + "accept": false, + "reason": "Both are doc fixes, but for different pages and problems: LoRA formatting vs missing i2vgen docs deps." + }, + { + "left": "pull_request:6174", + "right": "pull_request:7425", + "accept": false, + "reason": "Unrelated docs edits in different tutorials; one fixes markdown formatting, the other adds an output image example." + }, + { + "left": "pull_request:6361", + "right": "pull_request:6403", + "accept": false, + "reason": "Same script, but one fixes LoRA key conversion while the other adds WebUI-format support; not the same change." + }, + { + "left": "pull_request:6440", + "right": "pull_request:7029", + "accept": false, + "reason": "Both are docs-only, but one fixes local links and the other fixes alt text/image URLs in a different tutorial." + }, + { + "left": "pull_request:6566", + "right": "pull_request:8715", + "accept": false, + "reason": "Same training script, but one fixes resume/save logic and the other adds a clip_skip argument; separate features." + }, + { + "left": "pull_request:6655", + "right": "pull_request:7124", + "accept": false, + "reason": "One modularizes DreamBooth LoRA inference; the other fixes a validation kwarg name. Different code paths." + }, + { + "left": "pull_request:6875", + "right": "pull_request:7260", + "accept": false, + "reason": "Both are test-related, but for different pipelines and failures; no shared underlying bug." + }, + { + "left": "pull_request:7227", + "right": "pull_request:7236", + "accept": false, + "reason": "Same file, but one adds DoRA training support and the other fixes embedding save paths; distinct PRs." + }, + { + "left": "pull_request:830", + "right": "pull_request:833", + "accept": false, + "reason": "Release version bumps for different versions; these are sequential release PRs, not duplicates." + }, + { + "left": "pull_request:869", + "right": "pull_request:879", + "accept": false, + "reason": "Both edit the community README, but one fixes import/docs content and the other only adjusts the table layout." + }, + { + "left": "pull_request:874", + "right": "pull_request:930", + "accept": false, + "reason": "Both concern community pipeline docs, but one is a generic example while the other restructures the docs navigation and adds pages." + }, + { + "left": "pull_request:4295", + "right": "pull_request:4417", + "accept": false, + "reason": "Related to Zero123, but one adds a community pipeline and the other broadens Zero123 support across core docs/config/loaders; not one mergeable change." + }, + { + "left": "pull_request:2193", + "right": "pull_request:3779", + "accept": false, + "reason": "Completely different Stable Diffusion additions: SAG pipeline vs segmentation output support." + }, + { + "left": "pull_request:5506", + "right": "pull_request:6184", + "accept": false, + "reason": "One fixes PEFT/xformers LoRA scaling behavior; the other handles offline weight-name lookup errors. Different bug classes." + }, + { + "left": "pull_request:12439", + "right": "pull_request:12812", + "accept": false, + "reason": "Both touch attention backends, but one adds hub kernels support and the other enables CP wrappers; separate feature work." + }, + { + "left": "pull_request:11994", + "right": "pull_request:12681", + "accept": false, + "reason": "One fixes huggingface-hub test failures/docs; the other fixes unrelated pipeline CPU tests." + }, + { + "left": "pull_request:3859", + "right": "pull_request:4098", + "accept": false, + "reason": "SDXL base pipelines vs SDXL inpainting; the later PR extends the earlier area but is not the same concrete change." + }, + { + "left": "pull_request:7233", + "right": "pull_request:9257", + "accept": false, + "reason": "Different models and goals: SDXL DreamBooth DoRA training vs Flux DreamBooth script alignment." + }, + { + "left": "pull_request:8616", + "right": "pull_request:9017", + "accept": false, + "reason": "Both are LoRA-related, but one adds fusion for SD3 and the other adds AuraFlow LoRA support; different model-specific code paths." + }, + { + "left": "pull_request:11532", + "right": "pull_request:11660", + "accept": false, + "reason": "Both involve HiDream LoRA conversion, but the second is a follow-up variant-format support PR, not the same underlying change." + }, + { + "left": "pull_request:12687", + "right": "pull_request:12914", + "accept": false, + "reason": "A typo fix in autoencoder code versus a typo fix in Cosmos docs; unrelated artifacts." + }, + { + "left": "pull_request:1370", + "right": "pull_request:874", + "accept": false, + "reason": "Both edit community README content, but they address different examples and documentation updates, not one duplicate fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 31, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10259", + "pull_request:10376", + "pull_request:10378", + "pull_request:10481", + "pull_request:10517", + "pull_request:11546", + "pull_request:11572", + "pull_request:12188", + "pull_request:12190", + "pull_request:13056", + "pull_request:13255", + "pull_request:1758", + "pull_request:2254", + "pull_request:2345", + "pull_request:2994", + "pull_request:3135", + "pull_request:3248", + "pull_request:3795", + "pull_request:3945", + "pull_request:420", + "pull_request:4223", + "pull_request:4408", + "pull_request:4461", + "pull_request:4596", + "pull_request:4633", + "pull_request:4694", + "pull_request:4762", + "pull_request:5275", + "pull_request:5369", + "pull_request:5376", + "pull_request:5517", + "pull_request:5697", + "pull_request:5914", + "pull_request:6021", + "pull_request:6035", + "pull_request:6360", + "pull_request:6361", + "pull_request:6402", + "pull_request:6403", + "pull_request:6526", + "pull_request:6556", + "pull_request:6717", + "pull_request:6795", + "pull_request:6884", + "pull_request:6946", + "pull_request:7182", + "pull_request:7786", + "pull_request:9682" + ], + "soft_pairs": [ + "pull_request:1758|pull_request:420", + "pull_request:2254|pull_request:2345", + "pull_request:3795|pull_request:5369", + "pull_request:3945|pull_request:6021", + "pull_request:4461|pull_request:4596", + "pull_request:4633|pull_request:6526", + "pull_request:5376|pull_request:6360", + "pull_request:5697|pull_request:7786", + "pull_request:5914|pull_request:6361", + "pull_request:6035|pull_request:6402", + "pull_request:6035|pull_request:6795", + "pull_request:6402|pull_request:6556", + "pull_request:6403|pull_request:7182", + "pull_request:4408|pull_request:4694", + "pull_request:10259|pull_request:11546", + "pull_request:10376|pull_request:11572", + "pull_request:5517|pull_request:6717", + "pull_request:12188|pull_request:12190", + "pull_request:2994|pull_request:4223", + "pull_request:3135|pull_request:3248", + "pull_request:6884|pull_request:6946", + "pull_request:10378|pull_request:9682", + "pull_request:10481|pull_request:10517", + "pull_request:13056|pull_request:13255", + "pull_request:4762|pull_request:5275" + ], + "prepared_review_unit_hash": "3c2cc9903bc438b5d7a5d10c03b2781993c7f35c160cb829de00f95d358cfc55", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 98099, + "estimated_input_tokens": 24525, + "estimated_eval_tokens": 49306 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of superficially similar but unrelated PRs across docs, training scripts, loaders, and model-specific bug fixes. I do not see a true duplicate pair among the soft edges under a strict PR-duplication standard.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR stands out: the items cover many different features/bug fixes across unrelated code paths and models, so the cluster is too heterogeneous to collapse to one PR.", + "best_issue_reason": null, + "best_pr_reason": "No best PR in the duplicate sense; the closest matches are only loosely related by topic, not the same concrete change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1758", + "right": "pull_request:420", + "accept": false, + "reason": "Both are docs edits, but they cover different documentation areas and different changes; not the same underlying fix." + }, + { + "left": "pull_request:2254", + "right": "pull_request:2345", + "accept": false, + "reason": "One is docs about xFormers 0.0.16, the other adds runtime warnings in training scripts; related topic, but not the same PR-worthy code change." + }, + { + "left": "pull_request:3795", + "right": "pull_request:5369", + "accept": false, + "reason": "Both are minor docs fixes, but they touch different guides and unrelated corrections." + }, + { + "left": "pull_request:3945", + "right": "pull_request:6021", + "accept": false, + "reason": "Different training-script enhancements for different SDXL/DreamBooth flows; not the same bug or change." + }, + { + "left": "pull_request:4461", + "right": "pull_request:4596", + "accept": false, + "reason": "These are opposite-direction conversion scripts with different purposes; related conversion area, but not the same fix." + }, + { + "left": "pull_request:4633", + "right": "pull_request:6526", + "accept": false, + "reason": "One adds an SDXL ControlNet training script, the other fixes compile compatibility in an existing script; not the same concrete change." + }, + { + "left": "pull_request:5376", + "right": "pull_request:6360", + "accept": false, + "reason": "Both touch inpainting-related pipelines, but they fix different issues: FreeU support vs padding/mask-crop input handling." + }, + { + "left": "pull_request:5697", + "right": "pull_request:7786", + "accept": false, + "reason": "These fix entirely different bugs in different pipelines (xFormers/PEFT attention vs Stable Video Diffusion prompt/video batching)." + }, + { + "left": "pull_request:5914", + "right": "pull_request:6361", + "accept": false, + "reason": "A README template typo is unrelated to LoRA key conversion logic." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6402", + "accept": false, + "reason": "Help-text cleanup and gradient-checkpointing behavior are different changes." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6795", + "accept": false, + "reason": "Help text improvements and SDXL micro-conditioning support are unrelated." + }, + { + "left": "pull_request:6402", + "right": "pull_request:6556", + "accept": false, + "reason": "Both involve LoRA training, but they address different compatibility bugs in different scripts." + }, + { + "left": "pull_request:6403", + "right": "pull_request:7182", + "accept": false, + "reason": "WebUI-format support and EDM-style training are distinct feature additions in the same script." + }, + { + "left": "pull_request:4408", + "right": "pull_request:4694", + "accept": false, + "reason": "Different pipeline families and different functionality; not the same underlying change." + }, + { + "left": "pull_request:10259", + "right": "pull_request:11546", + "accept": false, + "reason": "Different model-specific LoRA loading support (Flux vs Hunyuan FramePack); not mergeable as one PR." + }, + { + "left": "pull_request:10376", + "right": "pull_request:11572", + "accept": false, + "reason": "Separate non-diffusers LoRA conversion support for different models (HunyuanVideo vs LTX-Video)." + }, + { + "left": "pull_request:5517", + "right": "pull_request:6717", + "accept": false, + "reason": "A WIP latent-consistency script and a consistency-training community example are different additions, not duplicates." + }, + { + "left": "pull_request:12188", + "right": "pull_request:12190", + "accept": false, + "reason": "Both touch Qwen-Image-Edit, but one is an emergency bug fix and the other is a performance/auto-resize refactor; not the same concrete issue." + }, + { + "left": "pull_request:2994", + "right": "pull_request:4223", + "accept": false, + "reason": "Different ControlNet training fixes in different releases; type-casting and SDXL-specific compatibility are not the same change." + }, + { + "left": "pull_request:3135", + "right": "pull_request:3248", + "accept": false, + "reason": "Both are ControlNet training script changes, but one enforces sizing and cropping while the other handles logging/image-format issues." + }, + { + "left": "pull_request:6884", + "right": "pull_request:6946", + "accept": false, + "reason": "Same loader file, but one fixes scale-length validation and the other adds low_cpu_mem_usage support; unrelated fixes." + }, + { + "left": "pull_request:10378", + "right": "pull_request:9682", + "accept": false, + "reason": "Both mention SD3 LoRA/training, but one is a training-script save-hook fix and the other is broader SD3 training/test updates." + }, + { + "left": "pull_request:10481", + "right": "pull_request:10517", + "accept": false, + "reason": "A clean_caption default change and a vague Sana 4K bug fix are not the same issue." + }, + { + "left": "pull_request:13056", + "right": "pull_request:13255", + "accept": false, + "reason": "One adds Z-Image LoRA training docs/code, the other fixes Z-Image LoRA loading; related model family, but different changes." + }, + { + "left": "pull_request:4762", + "right": "pull_request:5275", + "accept": false, + "reason": "An SDXL README VAE note and adding a new SDXL JAX example are unrelated documentation/example additions." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 32, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10259", + "pull_request:10318", + "pull_request:10376", + "pull_request:10576", + "pull_request:10854", + "pull_request:11508", + "pull_request:11602", + "pull_request:11670", + "pull_request:11754", + "pull_request:11767", + "pull_request:11796", + "pull_request:12164", + "pull_request:12188", + "pull_request:12190", + "pull_request:12225", + "pull_request:12839", + "pull_request:2037", + "pull_request:243", + "pull_request:4461", + "pull_request:4595", + "pull_request:4666", + "pull_request:5807", + "pull_request:5887", + "pull_request:5915", + "pull_request:6035", + "pull_request:6179", + "pull_request:6190", + "pull_request:6762", + "pull_request:6864", + "pull_request:6975", + "pull_request:7182", + "pull_request:7196", + "pull_request:7212", + "pull_request:7372", + "pull_request:7476", + "pull_request:7720", + "pull_request:7786", + "pull_request:7932", + "pull_request:8696", + "pull_request:8825", + "pull_request:8902", + "pull_request:9139", + "pull_request:9290", + "pull_request:9318", + "pull_request:9445", + "pull_request:9483", + "pull_request:9816" + ], + "soft_pairs": [ + "pull_request:5807|pull_request:7786", + "pull_request:6035|pull_request:7372", + "pull_request:6190|pull_request:6864", + "pull_request:11767|pull_request:11796", + "pull_request:11602|pull_request:12225", + "pull_request:12164|pull_request:12190", + "pull_request:12188|pull_request:12839", + "pull_request:6762|pull_request:8696", + "pull_request:7182|pull_request:7372", + "pull_request:7196|pull_request:8825", + "pull_request:9139|pull_request:9290", + "pull_request:9318|pull_request:9483", + "pull_request:5887|pull_request:5915", + "pull_request:9445|pull_request:9816", + "pull_request:11508|pull_request:11670", + "pull_request:10318|pull_request:10576", + "pull_request:4461|pull_request:4595", + "pull_request:4666|pull_request:6179", + "pull_request:7212|pull_request:7720", + "pull_request:6975|pull_request:7476", + "pull_request:10854|pull_request:11754", + "pull_request:2037|pull_request:243", + "pull_request:7932|pull_request:8902", + "pull_request:10259|pull_request:10376" + ], + "prepared_review_unit_hash": "b05d013161daa45ef6c769470e27bedf93fd94ecc051494bd84afae8f67c97e7", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 97279, + "estimated_input_tokens": 24320, + "estimated_eval_tokens": 48896 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: mostly unrelated feature, test, docs, and CI PRs across Flux, QwenImage, IP-Adapter, controlnet, training scripts, and utility fixes. None of the soft edges look like true duplicates of the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:5807", + "right": "pull_request:7786", + "accept": false, + "reason": "Both touch prompt/image repetition behavior, but they are for different pipelines and different bugs; not the same concrete code path." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7372", + "accept": false, + "reason": "Same training script file, but one is help text and the other adds EDM model-card tagging/scheduler metadata; different changes." + }, + { + "left": "pull_request:6190", + "right": "pull_request:6864", + "accept": false, + "reason": "One is PEFT torch.compile test code, the other is documentation guidance; same topic, not the same fix." + }, + { + "left": "pull_request:11767", + "right": "pull_request:11796", + "accept": false, + "reason": "Both involve group offloading, but one fixes unique memory address handling and the other fixes a test interaction with layerwise casting." + }, + { + "left": "pull_request:11602", + "right": "pull_request:12225", + "accept": false, + "reason": "Both are QwenImage pipeline PRs, but one adds image-to-image support while the other adds a new inpainting pipeline; separate features." + }, + { + "left": "pull_request:12164", + "right": "pull_request:12190", + "accept": false, + "reason": "Same file, but one is feature support and the other is a performance-oriented refactor; not the same underlying change." + }, + { + "left": "pull_request:12188", + "right": "pull_request:12839", + "accept": false, + "reason": "One is an emergency fix in Qwen-Image-Edit, the other adds later 2511 support in the transformer; different problems and code paths." + }, + { + "left": "pull_request:6762", + "right": "pull_request:8696", + "accept": false, + "reason": "Both mark tests flaky, but they target different model suites and failures." + }, + { + "left": "pull_request:7182", + "right": "pull_request:7372", + "accept": false, + "reason": "Same DreamBooth LoRA script, but one adds EDM-style training and the other only updates model-card tags/scheduler info." + }, + { + "left": "pull_request:7196", + "right": "pull_request:8825", + "accept": false, + "reason": "Different capabilities in unrelated codepaths: IP-Adapter training docs/scripts versus adding ControlNet/IP-Adapter support to a k-diffusion pipeline." + }, + { + "left": "pull_request:9139", + "right": "pull_request:9290", + "accept": false, + "reason": "Both edit Flux README content, but the changes are different documentation updates, not the same fix." + }, + { + "left": "pull_request:9318", + "right": "pull_request:9483", + "accept": false, + "reason": "One updates CI token secrets, the other adjusts nightly model test tolerances; unrelated CI/test maintenance." + }, + { + "left": "pull_request:5887", + "right": "pull_request:5915", + "accept": false, + "reason": "Related to IP-Adapter support, but one adds it to ControlNet inpaint while the other broadens IP-Adapter Plus support across many pipelines; not one mergeable fix." + }, + { + "left": "pull_request:9445", + "right": "pull_request:9816", + "accept": false, + "reason": "Both are Flux community pipelines, but they implement different features with distinct goals and code paths." + }, + { + "left": "pull_request:11508", + "right": "pull_request:11670", + "accept": false, + "reason": "Both affect compile-related tests/CI, but one changes torch.compile CI coverage while the other adds a group-offloading compile test." + }, + { + "left": "pull_request:10318", + "right": "pull_request:10576", + "accept": false, + "reason": "Both are Flux LoRA-related tests, but one targets Flux control/LoRA integration and the other checks 8-bit quantized model LoRA loading." + }, + { + "left": "pull_request:4461", + "right": "pull_request:4595", + "accept": false, + "reason": "One adds a pipeline_class_name argument to a conversion script; the other is an unrelated WIP conversion PR with no concrete overlap." + }, + { + "left": "pull_request:4666", + "right": "pull_request:6179", + "accept": false, + "reason": "Both mention attention/ControlNet/SDXL support, but one adds LoRA support for SDXL ControlNet and the other enables fused attention projections; different changes." + }, + { + "left": "pull_request:7212", + "right": "pull_request:7720", + "accept": false, + "reason": "A small cleanup in TemporalBasicTransformerBlock is unrelated to dead-code removal across miscellaneous example/scripts files." + }, + { + "left": "pull_request:6975", + "right": "pull_request:7476", + "accept": false, + "reason": "Both touch ControlNet inpaint-related code, but one fixes single-file loading and the other fixes multi-ControlNet compile behavior; separate bugs." + }, + { + "left": "pull_request:10854", + "right": "pull_request:11754", + "accept": false, + "reason": "Both are test-module rename/CI fixes, but they target different packages and module naming issues." + }, + { + "left": "pull_request:2037", + "right": "pull_request:243", + "accept": false, + "reason": "Completely different community pipelines: Stable UnCLIP versus RePaint inpainting." + }, + { + "left": "pull_request:7932", + "right": "pull_request:8902", + "accept": false, + "reason": "One fixes LoRA test values, the other changes sharded checkpoint loading; no shared underlying bug." + }, + { + "left": "pull_request:10259", + "right": "pull_request:10376", + "accept": false, + "reason": "Both are LoRA-related, but one supports loading regular Flux LoRAs into Flux Control/Fill and the other converts original-format HunyuanVideo LoRAs; not the same issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 33, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1012", + "pull_request:10279", + "pull_request:10349", + "pull_request:10402", + "pull_request:10418", + "pull_request:10578", + "pull_request:1063", + "pull_request:1073", + "pull_request:10845", + "pull_request:10922", + "pull_request:10943", + "pull_request:10947", + "pull_request:11130", + "pull_request:11243", + "pull_request:11327", + "pull_request:11348", + "pull_request:11373", + "pull_request:11451", + "pull_request:11552", + "pull_request:1162", + "pull_request:1167", + "pull_request:11740", + "pull_request:1178", + "pull_request:11876", + "pull_request:11953", + "pull_request:121", + "pull_request:12230", + "pull_request:12737", + "pull_request:1283", + "pull_request:12933", + "pull_request:12970", + "pull_request:12983", + "pull_request:1346", + "pull_request:16", + "pull_request:1605", + "pull_request:1960", + "pull_request:1998", + "pull_request:4944", + "pull_request:6573", + "pull_request:6729", + "pull_request:6907", + "pull_request:694", + "pull_request:754", + "pull_request:879", + "pull_request:883", + "pull_request:9542", + "pull_request:9655" + ], + "soft_pairs": [ + "pull_request:6729|pull_request:6907", + "pull_request:12737|pull_request:12970", + "pull_request:4944|pull_request:6573", + "pull_request:12933|pull_request:12983", + "pull_request:11130|pull_request:11876", + "pull_request:1012|pull_request:883", + "pull_request:10279|pull_request:9655", + "pull_request:10349|pull_request:10947", + "pull_request:10402|pull_request:10418", + "pull_request:10578|pull_request:9542", + "pull_request:1063|pull_request:1178", + "pull_request:1073|pull_request:879", + "pull_request:10845|pull_request:11373", + "pull_request:10922|pull_request:12230", + "pull_request:10943|pull_request:11243", + "pull_request:11327|pull_request:11348", + "pull_request:11451|pull_request:11740", + "pull_request:11451|pull_request:11953", + "pull_request:11552|pull_request:11740", + "pull_request:1162|pull_request:754", + "pull_request:1167|pull_request:16", + "pull_request:1167|pull_request:1960", + "pull_request:121|pull_request:694", + "pull_request:1283|pull_request:1605", + "pull_request:1346|pull_request:1998" + ], + "prepared_review_unit_hash": "e10721e034a437b9c90cbf61b86dcdeb26c6e7c0561402035c707377e2d65ab3", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 95879, + "estimated_input_tokens": 23970, + "estimated_eval_tokens": 48196 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly unrelated small PRs across docs, model support, quantization, and tests. None of the soft pairs look like the same underlying bug or change closely enough to merge as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR for the cluster: the items span many separate features and fixes rather than one duplicated change.", + "best_issue_reason": null, + "best_pr_reason": "PR 10943 is the strongest representative artifact: it is a substantial core code change with tests and clear functional scope, unlike the many docs-only or narrow follow-up PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6729", + "right": "pull_request:6907", + "accept": false, + "reason": "Both standardize model card generation, but one is for DreamBooth and the other for ControlNet; different scripts, templates, and change scope." + }, + { + "left": "pull_request:12737", + "right": "pull_request:12970", + "accept": false, + "reason": "Both touch context parallel, but they target different model families and different code paths; not the same bug or change." + }, + { + "left": "pull_request:4944", + "right": "pull_request:6573", + "accept": false, + "reason": "The first is initial IP-Adapter support, while the second adds multiple-IP-Adapter support across pipelines; related feature area, but not a duplicate change." + }, + { + "left": "pull_request:12933", + "right": "pull_request:12983", + "accept": false, + "reason": "One adds LoRA support for LTX-2, the other adds single-file loading for LTX 2; different features with different implementation paths." + }, + { + "left": "pull_request:11130", + "right": "pull_request:11876", + "accept": false, + "reason": "Both concern pipeline-level quantization, but 11876 is a follow-up QoL enhancement, not the same concrete fix or PR." + }, + { + "left": "pull_request:1012", + "right": "pull_request:883", + "accept": false, + "reason": "1012 only sets text_encoder train mode, while 883 adds the DreamBooth text-encoder training feature and docs; the latter subsumes but is not identical to the former." + }, + { + "left": "pull_request:10279", + "right": "pull_request:9655", + "accept": false, + "reason": "Both are docs fixes, but they correct unrelated pages and unrelated issues." + }, + { + "left": "pull_request:10349", + "right": "pull_request:10947", + "accept": false, + "reason": "One fixes a single-file loading bug, the other adds LTX2 single-file support; different model targets and different functionality." + }, + { + "left": "pull_request:10402", + "right": "pull_request:10418", + "accept": false, + "reason": "Both fix links, but in different documentation areas and for different broken references." + }, + { + "left": "pull_request:10578", + "right": "pull_request:9542", + "accept": false, + "reason": "Both relate to Flux LoRA, but one fixes 4-bit quantized loading and the other adds conversion support for a different LoRA format with text encoders." + }, + { + "left": "pull_request:1063", + "right": "pull_request:1178", + "accept": false, + "reason": "Completely unrelated typo fixes in different modules." + }, + { + "left": "pull_request:1073", + "right": "pull_request:879", + "accept": false, + "reason": "Both are README cleanup, but they affect unrelated documentation and unrelated content." + }, + { + "left": "pull_request:10845", + "right": "pull_request:11373", + "accept": false, + "reason": "One fixes a Flux LoRA training bug; the other is a ControlNet Flux stability/docs change. Same broad project area, but not the same bug." + }, + { + "left": "pull_request:10922", + "right": "pull_request:12230", + "accept": false, + "reason": "One introduces Wan2.1/Wan code and docs, the other renames docs text from Wan2.1 to Wan; not the same change." + }, + { + "left": "pull_request:10943", + "right": "pull_request:11243", + "accept": false, + "reason": "Both are Wan LoRA related, but they handle different LoRA formats and different conversion logic; not the same concrete fix." + }, + { + "left": "pull_request:11327", + "right": "pull_request:11348", + "accept": false, + "reason": "11348 is a documentation clarification for the compile snippet introduced in 11327, not a duplicate of the same change." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11740", + "accept": false, + "reason": "Wan compile tests and GGUF compile/offload tests are unrelated test additions for different models and subsystems." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11953", + "accept": false, + "reason": "Wan torch.compile test and HiDream fast-slice test are unrelated test changes for different models." + }, + { + "left": "pull_request:11552", + "right": "pull_request:11740", + "accept": false, + "reason": "Different models, different testing goals, no shared underlying bug or fix." + }, + { + "left": "pull_request:1162", + "right": "pull_request:754", + "accept": false, + "reason": "One fixes community README links, the other changes dynamic module loading and clip-guided memory behavior; unrelated changes." + }, + { + "left": "pull_request:1167", + "right": "pull_request:16", + "accept": false, + "reason": "Both touch README.md, but they are unrelated content updates from different parts of the project." + }, + { + "left": "pull_request:1167", + "right": "pull_request:1960", + "accept": false, + "reason": "These are unrelated README edits in different repositories sections and with different purposes." + }, + { + "left": "pull_request:121", + "right": "pull_request:694", + "accept": false, + "reason": "Early README examples and schedulers README updates are unrelated documentation changes." + }, + { + "left": "pull_request:1283", + "right": "pull_request:1605", + "accept": false, + "reason": "One adds the Versatile Diffusion model, the other adds an upcast_attention parameter; same file family but different changes." + }, + { + "left": "pull_request:1346", + "right": "pull_request:1998", + "accept": false, + "reason": "Unrelated README typo fix versus a DreamBooth blog-post addition." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 34, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1360", + "pull_request:1394", + "pull_request:1415", + "pull_request:1496", + "pull_request:1622", + "pull_request:168", + "pull_request:1682", + "pull_request:1723", + "pull_request:1758", + "pull_request:1763", + "pull_request:1769", + "pull_request:178", + "pull_request:2009", + "pull_request:2062", + "pull_request:2406", + "pull_request:252", + "pull_request:2526", + "pull_request:2566", + "pull_request:2583", + "pull_request:2604", + "pull_request:2760", + "pull_request:2915", + "pull_request:3123", + "pull_request:3201", + "pull_request:325", + "pull_request:3265", + "pull_request:330", + "pull_request:3321", + "pull_request:333", + "pull_request:3334", + "pull_request:3458", + "pull_request:3460", + "pull_request:3472", + "pull_request:3531", + "pull_request:3542", + "pull_request:365", + "pull_request:3795", + "pull_request:3945", + "pull_request:400", + "pull_request:4952", + "pull_request:555", + "pull_request:645", + "pull_request:689", + "pull_request:694", + "pull_request:888", + "pull_request:889", + "pull_request:903" + ], + "soft_pairs": [ + "pull_request:1360|pull_request:3201", + "pull_request:1360|pull_request:3265", + "pull_request:1394|pull_request:1682", + "pull_request:1415|pull_request:1622", + "pull_request:1496|pull_request:178", + "pull_request:1496|pull_request:555", + "pull_request:1496|pull_request:889", + "pull_request:168|pull_request:903", + "pull_request:1723|pull_request:333", + "pull_request:1758|pull_request:3795", + "pull_request:1763|pull_request:3531", + "pull_request:1769|pull_request:2062", + "pull_request:2009|pull_request:888", + "pull_request:2406|pull_request:3321", + "pull_request:252|pull_request:694", + "pull_request:2526|pull_request:2915", + "pull_request:2526|pull_request:689", + "pull_request:2566|pull_request:3123", + "pull_request:2583|pull_request:2604", + "pull_request:2760|pull_request:645", + "pull_request:325|pull_request:400", + "pull_request:330|pull_request:365", + "pull_request:3334|pull_request:4952", + "pull_request:3458|pull_request:3542", + "pull_request:3460|pull_request:3542", + "pull_request:3472|pull_request:3945" + ], + "prepared_review_unit_hash": "33fb2f18989d3633d2f6458b513b0fcd6ee648fe21cab9b4e3a5665d7f510d13", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 98238, + "estimated_input_tokens": 24560, + "estimated_eval_tokens": 49376 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set; it mixes unrelated PRs across version bumps, docs, tests, and different Stable Diffusion-related features. I would treat it as a loose topical cluster, not mergeable duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents a duplicate set here because the items are mostly unrelated. If one PR must be chosen as the broadest/most central stable-diffusion code change, PR 2009 is the strongest representative due to its size and impact across many pipelines.", + "best_issue_reason": null, + "best_pr_reason": "PR 2009 is the best overall representative of the cluster\u2019s main code area: it is the largest, most impactful Stable Diffusion-related change and touches the core loader/pipeline surface broadly. That said, the cluster still should not be treated as duplicate PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1360", + "right": "pull_request:3201", + "accept": false, + "reason": "Revert/re-revert of a community pipeline file, but the diffs are different change directions and not the same underlying bug or feature." + }, + { + "left": "pull_request:1360", + "right": "pull_request:3265", + "accept": false, + "reason": "Same community file, but one is the original K-Diffusion pipeline and the other is a revert of a later rewrite; not the same concrete change." + }, + { + "left": "pull_request:1394", + "right": "pull_request:1682", + "accept": false, + "reason": "Both are version bumps, but to different release versions and different release cycles." + }, + { + "left": "pull_request:1415", + "right": "pull_request:1622", + "accept": false, + "reason": "One fixes Stable Diffusion code broadly; the other fixes LPW pipeline compatibility. Different code paths and problems." + }, + { + "left": "pull_request:1496", + "right": "pull_request:178", + "accept": false, + "reason": "Docs for Habana Gaudi vs early Stable Diffusion test updates; unrelated artifacts." + }, + { + "left": "pull_request:1496", + "right": "pull_request:555", + "accept": false, + "reason": "Habana docs and Flax VAE addition are unrelated changes." + }, + { + "left": "pull_request:1496", + "right": "pull_request:889", + "accept": false, + "reason": "Habana docs vs Stable Diffusion components feature; different scope and code paths." + }, + { + "left": "pull_request:168", + "right": "pull_request:903", + "accept": false, + "reason": "Initial Stable Diffusion pipeline addition vs later inpainting deprecation. Related subsystem, but not the same change." + }, + { + "left": "pull_request:1723", + "right": "pull_request:333", + "accept": false, + "reason": "Latent diffusion optional latents input vs Latent Diffusion uncond type hints; different modifications." + }, + { + "left": "pull_request:1758", + "right": "pull_request:3795", + "accept": false, + "reason": "Both are docs, but they update different pages and cover different content." + }, + { + "left": "pull_request:1763", + "right": "pull_request:3531", + "accept": false, + "reason": "Both touch attention masking, but one is Versatile attention behavior and the other is generic mask padding validation; not the same bug." + }, + { + "left": "pull_request:1769", + "right": "pull_request:2062", + "accept": false, + "reason": "Different pipelines and different test fixes; same broad CPU-offload theme only." + }, + { + "left": "pull_request:2009", + "right": "pull_request:888", + "accept": false, + "reason": "Textual inversion loader support vs Cycle Diffusion pipeline addition. Same ecosystem, but different changes." + }, + { + "left": "pull_request:2406", + "right": "pull_request:3321", + "accept": false, + "reason": "Both update the controlling-generation docs, but they add different content and are separate documentation edits." + }, + { + "left": "pull_request:252", + "right": "pull_request:694", + "accept": false, + "reason": "README examples update vs scheduler README update; unrelated documentation changes." + }, + { + "left": "pull_request:2526", + "right": "pull_request:2915", + "accept": false, + "reason": "Both are slow-test threshold tweaks, but they target different pipelines/tests and different flaky cases." + }, + { + "left": "pull_request:2526", + "right": "pull_request:689", + "accept": false, + "reason": "One is test-threshold adjustment; the other changes attention math for performance. Not the same concrete fix." + }, + { + "left": "pull_request:2566", + "right": "pull_request:3123", + "accept": false, + "reason": "TensorBoard logging fix vs textual inversion JAX doc typo; unrelated." + }, + { + "left": "pull_request:2583", + "right": "pull_request:2604", + "accept": false, + "reason": "Different documentation/link fixes in different files." + }, + { + "left": "pull_request:2760", + "right": "pull_request:645", + "accept": false, + "reason": "Both involve textual inversion, but one adds a quantization/distillation example and the other adds periodic embedding saving. Different features." + }, + { + "left": "pull_request:325", + "right": "pull_request:400", + "accept": false, + "reason": "PR 325 is type hints for Score SDE VE; PR 400 is docs and pipeline additions around the same area, but not the same code-path change." + }, + { + "left": "pull_request:330", + "right": "pull_request:365", + "accept": false, + "reason": "Type-hint updates for different model classes (UNet vs VAE), not one duplicate change." + }, + { + "left": "pull_request:3334", + "right": "pull_request:4952", + "accept": false, + "reason": "Both are docstring edits in pipeline_utils, but they fix different documentation text." + }, + { + "left": "pull_request:3458", + "right": "pull_request:3542", + "accept": false, + "reason": "Both mention LoRA support, but one is for Stable Diffusion inpaint and the other for ControlNet; different pipelines and implementation paths." + }, + { + "left": "pull_request:3460", + "right": "pull_request:3542", + "accept": false, + "reason": "Inpaint LoRA scale support vs ControlNet LoRA support are separate features in different pipelines." + }, + { + "left": "pull_request:3472", + "right": "pull_request:3945", + "accept": false, + "reason": "Dreambooth IF docs vs Dreambooth LoRA rank parameter; different parts of the training workflow." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 35, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:3642", + "pull_request:3795", + "pull_request:386", + "pull_request:3945", + "pull_request:4044", + "pull_request:4113", + "pull_request:4211", + "pull_request:4227", + "pull_request:4503", + "pull_request:4595", + "pull_request:4652", + "pull_request:4696", + "pull_request:4717", + "pull_request:4745", + "pull_request:4749", + "pull_request:4760", + "pull_request:4847", + "pull_request:4893", + "pull_request:4946", + "pull_request:4947", + "pull_request:5033", + "pull_request:5051", + "pull_request:5144", + "pull_request:5361", + "pull_request:5411", + "pull_request:5511", + "pull_request:5671", + "pull_request:5750", + "pull_request:6140", + "pull_request:6145", + "pull_request:6174", + "pull_request:6202", + "pull_request:6216", + "pull_request:6245", + "pull_request:6361", + "pull_request:6376", + "pull_request:6401", + "pull_request:6403", + "pull_request:6499", + "pull_request:6523", + "pull_request:6528", + "pull_request:6566", + "pull_request:6724", + "pull_request:6775", + "pull_request:6999", + "pull_request:7118", + "pull_request:7360", + "pull_request:903" + ], + "soft_pairs": [ + "pull_request:3642|pull_request:5750", + "pull_request:3795|pull_request:4227", + "pull_request:386|pull_request:903", + "pull_request:3945|pull_request:6403", + "pull_request:4044|pull_request:4211", + "pull_request:4113|pull_request:6202", + "pull_request:4503|pull_request:6724", + "pull_request:4595|pull_request:4847", + "pull_request:4595|pull_request:6376", + "pull_request:4652|pull_request:4749", + "pull_request:4696|pull_request:4947", + "pull_request:4717|pull_request:6528", + "pull_request:4745|pull_request:5033", + "pull_request:4760|pull_request:5411", + "pull_request:4893|pull_request:4946", + "pull_request:5051|pull_request:7118", + "pull_request:5144|pull_request:7360", + "pull_request:5361|pull_request:5671", + "pull_request:5511|pull_request:6999", + "pull_request:6140|pull_request:6499", + "pull_request:6145|pull_request:6523", + "pull_request:6174|pull_request:6775", + "pull_request:6216|pull_request:6401", + "pull_request:6245|pull_request:6361", + "pull_request:6361|pull_request:6566" + ], + "prepared_review_unit_hash": "1e13107558ff550275e6091ede07969f39c5bcaa34eec9632ab71cf1df132a08", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 93993, + "estimated_input_tokens": 23499, + "estimated_eval_tokens": 47254 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The candidate pairs are mostly unrelated docs, tests, or feature PRs touching similar subsystems but not the same concrete bug/change. I would not merge any of the soft-edge pairs.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical duplicate exists; if one PR must represent the cluster, #5033 is the strongest standalone bug fix because it patches a concrete inpaint code path across multiple pipelines and includes tests.", + "best_issue_reason": null, + "best_pr_reason": "#5033 is the best single PR to anchor the cluster: it fixes a specific functional bug in inpaint latent handling across several pipelines, is well-scoped, and has test coverage.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3642", + "right": "pull_request:5750", + "accept": false, + "reason": "Different areas and purposes: a new TensorRT inpainting pipeline vs. a broad Stable Diffusion reference/introduction PR." + }, + { + "left": "pull_request:3795", + "right": "pull_request:4227", + "accept": false, + "reason": "Both are docs-related, but one updates overview pages while the other fixes a missing import in a textual inversion example; unrelated changes." + }, + { + "left": "pull_request:386", + "right": "pull_request:903", + "accept": false, + "reason": "Both touch Stable Diffusion docs/inpaint files, but one is a docs-only pipeline writeup and the other deprecates the legacy inpainting pipeline." + }, + { + "left": "pull_request:3945", + "right": "pull_request:6403", + "accept": false, + "reason": "Different training-script changes: DreamBooth LoRA rank parameter vs. adding WebUI format support to advanced training." + }, + { + "left": "pull_request:4044", + "right": "pull_request:4211", + "accept": false, + "reason": "Unrelated docstring/doc fixes in different pipelines; no shared bug or code path." + }, + { + "left": "pull_request:4113", + "right": "pull_request:6202", + "accept": false, + "reason": "One fixes dtype handling in SDXL inpaint; the other changes prompt-embed handling in Stable Diffusion/Alt Diffusion. Same broad theme, different bugs." + }, + { + "left": "pull_request:4503", + "right": "pull_request:6724", + "accept": false, + "reason": "Both edit lora.md, but they address different documentation topics: SDXL/LyCORIS support vs. rank description." + }, + { + "left": "pull_request:4595", + "right": "pull_request:4847", + "accept": false, + "reason": "Completely different community/example additions: a WIP XL conversion script vs. Prompt Free Diffusion." + }, + { + "left": "pull_request:4595", + "right": "pull_request:6376", + "accept": false, + "reason": "Different community example work with different models and goals; not the same change." + }, + { + "left": "pull_request:4652", + "right": "pull_request:4749", + "accept": false, + "reason": "One fixes LoRA tests, the other fixes DreamBooth LoRA checkpointing logic; related area but different code paths and bugs." + }, + { + "left": "pull_request:4696", + "right": "pull_request:4947", + "accept": false, + "reason": "Model implementation for T2I-Adapter-XL vs. training-script tests for SDXL adapter; not the same concrete issue." + }, + { + "left": "pull_request:4717", + "right": "pull_request:6528", + "accept": false, + "reason": "Docs typo fix in ControlNet vs. a functional ControlNet IP-Adapter img2img code fix; unrelated." + }, + { + "left": "pull_request:4745", + "right": "pull_request:5033", + "accept": false, + "reason": "Both are pipeline bugs, but one is optional-component loading in from_pretrained and the other is inpaint latent/mask handling; distinct fixes." + }, + { + "left": "pull_request:4760", + "right": "pull_request:5411", + "accept": false, + "reason": "Both are broken-link doc fixes, but they target different docs and links; not the same underlying change." + }, + { + "left": "pull_request:4893", + "right": "pull_request:4946", + "accept": false, + "reason": "LoRA fusion/scaling docs vs. training-overview entry updates; unrelated documentation changes." + }, + { + "left": "pull_request:5051", + "right": "pull_request:7118", + "accept": false, + "reason": "Both are typo/doc cleanup PRs, but for different docs and examples; no duplicate bug/change." + }, + { + "left": "pull_request:5144", + "right": "pull_request:7360", + "accept": false, + "reason": "BLIP Diffusion sample-code punctuation fix vs. TCD scheduler docs/type annotation fixes; unrelated." + }, + { + "left": "pull_request:5361", + "right": "pull_request:5671", + "accept": false, + "reason": "Both are DO NOT MERGE workflow/test-related PRs, but they address different CI/debugging concerns." + }, + { + "left": "pull_request:5511", + "right": "pull_request:6999", + "accept": false, + "reason": "Different functional bugs in different pipelines/schedulers; only loosely related by being pipeline fixes." + }, + { + "left": "pull_request:6140", + "right": "pull_request:6499", + "accept": false, + "reason": "Separate API docs additions for different loader systems (IP-Adapter vs PEFT)." + }, + { + "left": "pull_request:6145", + "right": "pull_request:6523", + "accept": false, + "reason": "Both are consistency-distillation script fixes, but one is a comment cleanup and the other is a real time-cond-proj bug fix." + }, + { + "left": "pull_request:6174", + "right": "pull_request:6775", + "accept": false, + "reason": "Unrelated docs fixes: a missing backslash in lora.md vs. adding a scheduler parameter docstring." + }, + { + "left": "pull_request:6216", + "right": "pull_request:6401", + "accept": false, + "reason": "Both touch the LoRA PEFT test suite, but one fixes PEFT 0.7.0 compatibility and the other removes unused test components." + }, + { + "left": "pull_request:6245", + "right": "pull_request:6361", + "accept": false, + "reason": "Different scripts and bugs: Wuerstchen fp16/LoRA args vs. advanced DreamBooth LoRA key-format handling." + }, + { + "left": "pull_request:6361", + "right": "pull_request:6566", + "accept": false, + "reason": "Same file family, but one changes LoRA save-format keys while the other fixes resume training behavior; not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 36, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10206", + "pull_request:10271", + "pull_request:10351", + "pull_request:10810", + "pull_request:11595", + "pull_request:11755", + "pull_request:11994", + "pull_request:12069", + "pull_request:12269", + "pull_request:12416", + "pull_request:13042", + "pull_request:13119", + "pull_request:13209", + "pull_request:13313", + "pull_request:13469", + "pull_request:1788", + "pull_request:2415", + "pull_request:2795", + "pull_request:325", + "pull_request:360", + "pull_request:3641", + "pull_request:4188", + "pull_request:4262", + "pull_request:4272", + "pull_request:5164", + "pull_request:5506", + "pull_request:5792", + "pull_request:5943", + "pull_request:6426", + "pull_request:6448", + "pull_request:6528", + "pull_request:6555", + "pull_request:6564", + "pull_request:6816", + "pull_request:6875", + "pull_request:6941", + "pull_request:7086", + "pull_request:7634", + "pull_request:788", + "pull_request:8630", + "pull_request:8825", + "pull_request:8926", + "pull_request:9152", + "pull_request:9251", + "pull_request:9257", + "pull_request:9705", + "pull_request:9775" + ], + "soft_pairs": [ + "pull_request:6426|pull_request:6448", + "pull_request:6528|pull_request:6875", + "pull_request:6555|pull_request:8630", + "pull_request:6816|pull_request:8926", + "pull_request:6941|pull_request:8825", + "pull_request:7086|pull_request:8825", + "pull_request:9152|pull_request:9775", + "pull_request:9257|pull_request:9705", + "pull_request:12269|pull_request:12416", + "pull_request:10271|pull_request:9251", + "pull_request:13119|pull_request:13313", + "pull_request:13209|pull_request:13313", + "pull_request:1788|pull_request:788", + "pull_request:2415|pull_request:2795", + "pull_request:3641|pull_request:5506", + "pull_request:4188|pull_request:4262", + "pull_request:4272|pull_request:5792", + "pull_request:5164|pull_request:5943", + "pull_request:6564|pull_request:7634", + "pull_request:10206|pull_request:9257", + "pull_request:10810|pull_request:11595", + "pull_request:325|pull_request:360", + "pull_request:13042|pull_request:13469", + "pull_request:10351|pull_request:11755", + "pull_request:11994|pull_request:12069" + ], + "prepared_review_unit_hash": "fd5aa1f8b3cf5223074a32bdbeb67f7c51861fa6b9b577bfdcc4b06345aae886", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 99552, + "estimated_input_tokens": 24888, + "estimated_eval_tokens": 50032 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a mix of unrelated pull requests. Most pairs only share broad subsystems like LoRA, tests, or pipeline utilities, but they fix different concrete bugs or add different features, so I reject all soft duplicate edges and find no single canonical PR for the set.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:6426", + "right": "pull_request:6448", + "accept": false, + "reason": "Both touch old-backend LoRA tests, but they address different test assertions and cleanup behavior, not the same bug/change." + }, + { + "left": "pull_request:6528", + "right": "pull_request:6875", + "accept": false, + "reason": "Both involve IP-Adapter ControlNet image handling, but one fixes missing code paths and the other updates expected test outputs; not the same concrete fix." + }, + { + "left": "pull_request:6555", + "right": "pull_request:8630", + "accept": false, + "reason": "Both are training-script LoRA changes, but one is torch.compile compatibility for SD LoRA training while the other adds SD3 CLIP text-encoder training." + }, + { + "left": "pull_request:6816", + "right": "pull_request:8926", + "accept": false, + "reason": "Both relate to SDXL DreamBooth LoRA, but one fixes DDP+PEFT embedding unwrapping and the other fixes checkpoint saving in the advanced script." + }, + { + "left": "pull_request:6941", + "right": "pull_request:8825", + "accept": false, + "reason": "Both add IP-Adapter/ControlNet support, but for different pipelines and different integration paths; not mergeable as one PR." + }, + { + "left": "pull_request:7086", + "right": "pull_request:8825", + "accept": false, + "reason": "AnimateDiff img2vid/controlnet IP-Adapter work is a different feature area from SDXL K-Diffusion ControlNet/IP-Adapter support." + }, + { + "left": "pull_request:9152", + "right": "pull_request:9775", + "accept": false, + "reason": "One is distributed inference docs; the other is a README note for Flux LoRA quantization. Same documentation category, but unrelated content." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9705", + "accept": false, + "reason": "Both are Flux training-script changes, but one fixes prompt/tokenization logic in the script and the other only updates README guidance." + }, + { + "left": "pull_request:12269", + "right": "pull_request:12416", + "accept": false, + "reason": "These are related to modular pipeline support, but one adds Flux Kontext and the other adds QwenImage Edit Plus; different models/features." + }, + { + "left": "pull_request:10271", + "right": "pull_request:9251", + "accept": false, + "reason": "One is TorchAO serialization test refactoring; the other changes CI trigger rules. No shared bug or code path." + }, + { + "left": "pull_request:13119", + "right": "pull_request:13313", + "accept": false, + "reason": "Both touch LoRA conversion utilities, but 13119 fixes Flux2 key handling while 13313 fixes Klein LoRA loading; distinct conversion paths." + }, + { + "left": "pull_request:13209", + "right": "pull_request:13313", + "accept": false, + "reason": "ZImage LoRA normalization and Klein LoRA loading are separate converter fixes with different affected key formats." + }, + { + "left": "pull_request:1788", + "right": "pull_request:788", + "accept": false, + "reason": "DDIM scheduler sample-prediction bug and PIL sampler warning fixes are unrelated." + }, + { + "left": "pull_request:2415", + "right": "pull_request:2795", + "accept": false, + "reason": "One is a pipeline_utils import/version guard; the other is a research LoRA training script update. No same underlying change." + }, + { + "left": "pull_request:3641", + "right": "pull_request:5506", + "accept": false, + "reason": "Both affect diffusion/inpainting math paths, but one fixes initial-latent handling in inpaint pipelines and the other fixes PEFT LoRA with xformers attention." + }, + { + "left": "pull_request:4188", + "right": "pull_request:4262", + "accept": false, + "reason": "Both are SDXL training fixes, but one addresses dataset fingerprinting for ControlNet training and the other covers DreamBooth LoRA repeat/serialization issues." + }, + { + "left": "pull_request:4272", + "right": "pull_request:5792", + "accept": false, + "reason": "Missing optional imports vs import path cleanup across community scripts are related only at a very broad import-hygiene level, not the same bug." + }, + { + "left": "pull_request:5164", + "right": "pull_request:5943", + "accept": false, + "reason": "FreeU is a generation-quality mechanism; transformer_2d gradient checkpointing is a model training/runtime capability. Different changes." + }, + { + "left": "pull_request:6564", + "right": "pull_request:7634", + "accept": false, + "reason": "Both involve IP-Adapter path handling for different components, but one fixes image-encoder subfolder resolution while the other adds a high-res fix UNet variant." + }, + { + "left": "pull_request:10206", + "right": "pull_request:9257", + "accept": false, + "reason": "Both are LoRA/Flux related, but one supports unload_lora_weights for Flux Control and the other aligns the Flux dreambooth script prompt handling." + }, + { + "left": "pull_request:10810", + "right": "pull_request:11595", + "accept": false, + "reason": "Both modify LoRA conversion logic, but 10810 improves Flux support broadly while 11595 fixes load_lora_weights for Flux and PEFT base-layer handling." + }, + { + "left": "pull_request:325", + "right": "pull_request:360", + "accept": false, + "reason": "These are unrelated type-hint updates for different components; they do not fix the same bug or feature." + }, + { + "left": "pull_request:13042", + "right": "pull_request:13469", + "accept": false, + "reason": "QwenImage prompt isolation tests and deprecated attention processor tests are entirely different test concerns." + }, + { + "left": "pull_request:10351", + "right": "pull_request:11755", + "accept": false, + "reason": "One is a LoRA test input refactor; the other is a pipeline offload fix for LTX latent upsample. No shared underlying issue." + }, + { + "left": "pull_request:11994", + "right": "pull_request:12069", + "accept": false, + "reason": "One fixes hub auth/login references across docs/examples; the other patches AudioLDM2 version-conditional cache-position kwargs. Different areas and causes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 37, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10127", + "pull_request:102", + "pull_request:1020", + "pull_request:10232", + "pull_request:10250", + "pull_request:10278", + "pull_request:10319", + "pull_request:1041", + "pull_request:10429", + "pull_request:10504", + "pull_request:10505", + "pull_request:10517", + "pull_request:10609", + "pull_request:10756", + "pull_request:10826", + "pull_request:10858", + "pull_request:1087", + "pull_request:10888", + "pull_request:10978", + "pull_request:10990", + "pull_request:1104", + "pull_request:11124", + "pull_request:11142", + "pull_request:113", + "pull_request:11325", + "pull_request:1136", + "pull_request:11469", + "pull_request:11531", + "pull_request:11634", + "pull_request:11755", + "pull_request:11802", + "pull_request:11847", + "pull_request:11879", + "pull_request:12030", + "pull_request:12035", + "pull_request:12360", + "pull_request:12714", + "pull_request:17", + "pull_request:2062", + "pull_request:22", + "pull_request:2208", + "pull_request:2369", + "pull_request:2476", + "pull_request:408", + "pull_request:774", + "pull_request:9266", + "pull_request:9832" + ], + "soft_pairs": [ + "pull_request:10127|pull_request:11469", + "pull_request:11755|pull_request:12714", + "pull_request:11802|pull_request:12714", + "pull_request:2369|pull_request:2476", + "pull_request:102|pull_request:1020", + "pull_request:1020|pull_request:2208", + "pull_request:10232|pull_request:9266", + "pull_request:10250|pull_request:10429", + "pull_request:10278|pull_request:10319", + "pull_request:10278|pull_request:11325", + "pull_request:10319|pull_request:11325", + "pull_request:1041|pull_request:17", + "pull_request:1041|pull_request:408", + "pull_request:10504|pull_request:10609", + "pull_request:10504|pull_request:11879", + "pull_request:10505|pull_request:10609", + "pull_request:10505|pull_request:11879", + "pull_request:10517|pull_request:11142", + "pull_request:10756|pull_request:9832", + "pull_request:10826|pull_request:12030", + "pull_request:10858|pull_request:11847", + "pull_request:1087|pull_request:1104", + "pull_request:10888|pull_request:12035", + "pull_request:10978|pull_request:10990", + "pull_request:1104|pull_request:22", + "pull_request:11124|pull_request:11755", + "pull_request:113|pull_request:774", + "pull_request:11325|pull_request:11847", + "pull_request:11325|pull_request:12360", + "pull_request:1136|pull_request:2062", + "pull_request:11531|pull_request:11634" + ], + "prepared_review_unit_hash": "940be00f67def3f16bb71dc3c1289c768327a10fd1df25d80bbf7063a2563d7e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 31, + "serialized_chars": 96123, + "estimated_input_tokens": 24031, + "estimated_eval_tokens": 48318 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose mix of unrelated docs, tests, and feature PRs rather than a single duplicate thread. 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The only strong duplicate-like pair is the docs workflow token rename in PRs 3744 and 3745; the rest should stay separate.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 3745 is the best canonical representative for the only true duplicate-like change here: it makes the same HF_DOC_PUSH -> HF_DOC_BUILD_PUSH secret rename as PR 3744, just in the build docs workflow.", + "best_issue_reason": null, + "best_pr_reason": "PR 3745 is the cleanest representative of the cluster\u2019s sole real overlap; it matches PR 3744 on the same workflow-token rename and is the more general of the two token-fix PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3744", + "right": "pull_request:3745", + "accept": true, + "reason": "Same underlying token rename in docs workflows; both switch HF_DOC_PUSH to HF_DOC_BUILD_PUSH and could plausibly be one PR." + }, + { + "left": "pull_request:382", + "right": "pull_request:386", + "accept": false, + "reason": "Both are docs additions, but they document different pipelines and different content." + }, + { + "left": "pull_request:3821", + "right": "pull_request:5286", + "accept": false, + "reason": "Different translations/doc pages; 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related project area, but not the same concrete change." + }, + { + "left": "pull_request:42", + "right": "pull_request:62", + "accept": false, + "reason": "One adds LDM-related test coverage; the other fixes the latent diffusion uncond pipeline behavior." + }, + { + "left": "pull_request:421", + "right": "pull_request:710", + "accept": false, + "reason": "Both are documentation-style fixes, but they address different doc files and issues." + }, + { + "left": "pull_request:4320", + "right": "pull_request:5066", + "accept": false, + "reason": "ONNX docs typo and attention_processor code typo are unrelated." + }, + { + "left": "pull_request:4330", + "right": "pull_request:5454", + "accept": false, + "reason": "Different docs pages and different fixes; not the same underlying change." + }, + { + "left": "pull_request:4330", + "right": "pull_request:6438", + "accept": false, + "reason": "README_sdxl header fix vs installation note; unrelated documentation changes." + }, + { + "left": "pull_request:4352", + "right": "pull_request:4887", + "accept": false, + "reason": "Kandinsky combined pipeline memory/offload helpers vs removal of latent input in a different pipeline." + }, + { + "left": "pull_request:4380", + "right": "pull_request:5640", + "accept": false, + "reason": "Different documentation updates for different topics; not duplicates." + }, + { + "left": "pull_request:4570", + "right": "pull_request:5682", + "accept": false, + "reason": "AnimateDiff implementation/WIP vs follow-up checks; related area but distinct change sets." + }, + { + "left": "pull_request:46", + "right": "pull_request:55", + "accept": false, + "reason": "Both refactor resnet code, but for different legacy model families and not the same fix." + }, + { + "left": "pull_request:46", + "right": "pull_request:59", + "accept": false, + "reason": "Same broad resnet refactor theme, but different model integration work." + }, + { + "left": "pull_request:4666", + "right": "pull_request:5943", + "accept": false, + "reason": "SDXL ControlNet LoRA support vs gradient checkpointing for transformer_2d are unrelated changes." + }, + { + "left": "pull_request:4749", + "right": "pull_request:4833", + "accept": false, + "reason": "SDXL DreamBooth LoRA checkpointing and LoRA unfuse behavior are separate code-path problems." + }, + { + "left": "pull_request:4855", + "right": "pull_request:5506", + "accept": false, + "reason": "Offload/side-loading support vs PEFT+xformers attention fix are unrelated." + }, + { + "left": "pull_request:4934", + "right": "pull_request:6592", + "accept": false, + "reason": "Two different example training scripts for different tasks; not a duplicate change." + }, + { + "left": "pull_request:5", + "right": "pull_request:6", + "accept": false, + "reason": "PR 6 is a follow-up init/export change for the model added in PR 5, not the same underlying change." + }, + { + "left": "pull_request:5267", + "right": "pull_request:6669", + "accept": false, + "reason": "Different README/documentation updates in different files with unrelated content." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet, and the soft-edge verdicts stay conservative. The 3744/3745 pair is plausibly mergeable as one token-rename fix, while the other pairs are appropriately kept separate without overstating overlap." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 43, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:5499", + "pull_request:55", + "pull_request:5506", + "pull_request:555", + "pull_request:5698", + "pull_request:5707", + "pull_request:5727", + "pull_request:5745", + "pull_request:5818", + "pull_request:5823", + "pull_request:5855", + "pull_request:59", + "pull_request:5983", + "pull_request:6002", + "pull_request:6198", + "pull_request:6314", + "pull_request:6433", + "pull_request:6462", + "pull_request:6475", + "pull_request:6669", + "pull_request:6837", + "pull_request:6998", + "pull_request:7015", + "pull_request:7181", + "pull_request:7319", + "pull_request:7324", + "pull_request:7325", + "pull_request:74", + "pull_request:7425", + "pull_request:7472", + "pull_request:7709", + "pull_request:7797", + "pull_request:7867", + "pull_request:798", + "pull_request:824", + "pull_request:8403", + "pull_request:8426", + "pull_request:8470", + "pull_request:8600", + "pull_request:8851", + "pull_request:8932", + "pull_request:9", + "pull_request:9024", + "pull_request:9066", + "pull_request:9107", + "pull_request:9266", + "pull_request:972", + "pull_request:975" + ], + "soft_pairs": [ + "pull_request:5499|pull_request:6998", + "pull_request:55|pull_request:59", + "pull_request:5506|pull_request:5823", + "pull_request:555|pull_request:824", + "pull_request:5698|pull_request:6198", + "pull_request:5707|pull_request:5727", + "pull_request:5745|pull_request:6475", + "pull_request:5745|pull_request:7015", + "pull_request:5818|pull_request:7324", + "pull_request:5855|pull_request:6669", + "pull_request:5983|pull_request:6002", + "pull_request:6314|pull_request:7472", + "pull_request:6433|pull_request:8426", + "pull_request:6462|pull_request:7472", + "pull_request:6837|pull_request:8851", + "pull_request:7181|pull_request:7325", + "pull_request:7319|pull_request:9066", + "pull_request:74|pull_request:9", + "pull_request:7425|pull_request:8851", + "pull_request:7709|pull_request:8403", + "pull_request:7797|pull_request:8932", + "pull_request:7867|pull_request:9024", + "pull_request:798|pull_request:972", + "pull_request:798|pull_request:975", + "pull_request:8470|pull_request:9266", + "pull_request:8600|pull_request:9107" + ], + "prepared_review_unit_hash": "088ce8737ad2b77df9a303e7dbcf3e38ee641558ab200b36a1e55cd45ce8c621", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 97306, + "estimated_input_tokens": 24327, + "estimated_eval_tokens": 48910 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a heterogeneous mix of unrelated docs fixes, workflow tweaks, tests, and model/pipeline changes. None of the proposed soft edges look like the same underlying bug/change, so I rejected all of them.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:5499", + "right": "pull_request:6998", + "accept": false, + "reason": "Both are docs-only link/callout fixes in different files and for different topics; they do not address the same underlying change." + }, + { + "left": "pull_request:55", + "right": "pull_request:59", + "accept": false, + "reason": "Both touch resnet code, but one merges Glide resnet into the general resnet and the other expands a different 2D resnet implementation; they are separate refactors." + }, + { + "left": "pull_request:5506", + "right": "pull_request:5823", + "accept": false, + "reason": "Both involve LoRA/PEFT, but one fixes xFormers scale handling in attention processors while the other adds adapter_names support to fuse_lora; different code paths and goals." + }, + { + "left": "pull_request:555", + "right": "pull_request:824", + "accept": false, + "reason": "Both concern Flax, but one adds Flax VAE support and the other adds Flax test/util changes; not the same code change." + }, + { + "left": "pull_request:5698", + "right": "pull_request:6198", + "accept": false, + "reason": "One fixes LCM img2img behavior in pipelines, the other changes benchmark reporting for LCM; unrelated changes." + }, + { + "left": "pull_request:5707", + "right": "pull_request:5727", + "accept": false, + "reason": "Both are LCM-related, but one adds tests and the other adds training scripts/README; not the same concrete fix." + }, + { + "left": "pull_request:5745", + "right": "pull_request:6475", + "accept": false, + "reason": "Both are doc/example edits for different model types (ConsistencyDecoder vs SVD VAE type); different changes." + }, + { + "left": "pull_request:5745", + "right": "pull_request:7015", + "accept": false, + "reason": "These fix different documentation examples in different areas and files; no shared bug/change." + }, + { + "left": "pull_request:5818", + "right": "pull_request:7324", + "accept": false, + "reason": "Workflow matrix setup vs stable-cascade test updates are unrelated CI/test changes." + }, + { + "left": "pull_request:5855", + "right": "pull_request:6669", + "accept": false, + "reason": "Both are README wording fixes, but they update different examples and content; not the same underlying issue." + }, + { + "left": "pull_request:5983", + "right": "pull_request:6002", + "accept": false, + "reason": "One is an SVD doc update and the other fixes Stable Video Diffusion guidance-scale logic in code; different artifacts and problem types." + }, + { + "left": "pull_request:6314", + "right": "pull_request:7472", + "accept": false, + "reason": "Both fix broken links in docs, but they target different documents and different link errors." + }, + { + "left": "pull_request:6433", + "right": "pull_request:8426", + "accept": false, + "reason": "A community pipeline addition vs a CI dependency install change; completely unrelated." + }, + { + "left": "pull_request:6462", + "right": "pull_request:7472", + "accept": false, + "reason": "One updates an aMUSEd paper link, the other fixes an examples README link; same broad docs domain but not the same change." + }, + { + "left": "pull_request:6837", + "right": "pull_request:8851", + "accept": false, + "reason": "Both touch docs around model/pipeline examples, but one is an i2vgen-xl doc dependency fix and the other adds AuraFlow docs and code; different changes." + }, + { + "left": "pull_request:7181", + "right": "pull_request:7325", + "accept": false, + "reason": "Both are typo/docs sweep PRs, but they cover different files and distinct sets of edits; not mergeable as one duplicate." + }, + { + "left": "pull_request:7319", + "right": "pull_request:9066", + "accept": false, + "reason": "Both modify docs to add scheduler/model pages, but one adds EDM scheduler docs and the other adds StableCascadeUNet docs; different additions." + }, + { + "left": "pull_request:74", + "right": "pull_request:9", + "accept": false, + "reason": "Both are early model architecture additions, but one adds a Grad-TTS mid block and the other introduces the Grad-TTS UNet/pipeline; related project area, not the same change." + }, + { + "left": "pull_request:7425", + "right": "pull_request:8851", + "accept": false, + "reason": "One is a small docs typo/output-image fix, the other adds AuraFlow docs and implementation; unrelated." + }, + { + "left": "pull_request:7709", + "right": "pull_request:8403", + "accept": false, + "reason": "Both touch GitHub workflows/tailscale, but one adds the tailscale action and the other changes its version target; separate CI changes." + }, + { + "left": "pull_request:7797", + "right": "pull_request:8932", + "accept": false, + "reason": "Both adjust tests to smaller/coverage-focused model configs, but for different pipelines/models and different test goals." + }, + { + "left": "pull_request:7867", + "right": "pull_request:9024", + "accept": false, + "reason": "Both alter CI cache-related workflow settings, but one changes cache mounts and the other changes runner groups and broader CI setup; not the same fix." + }, + { + "left": "pull_request:798", + "right": "pull_request:972", + "accept": false, + "reason": "One fixes a docstring in a UNet model, the other fixes a torch_dtype typo in the README; unrelated documentation changes." + }, + { + "left": "pull_request:798", + "right": "pull_request:975", + "accept": false, + "reason": "One is a code docstring fix and the other is a docs title correction; different files and issues." + }, + { + "left": "pull_request:8470", + "right": "pull_request:9266", + "accept": false, + "reason": "Both are README/docs updates, but one rewrites a research-project README while the other adds a community projects entry; not the same underlying change." + }, + { + "left": "pull_request:8600", + "right": "pull_request:9107", + "accept": false, + "reason": "Both touch SD3 dreambooth code, but one fixes text-encoder cleanup and the other fixes a loading hook state-dict key filter; different bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 44, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10205", + "pull_request:10810", + "pull_request:11067", + "pull_request:11894", + "pull_request:11994", + "pull_request:12086", + "pull_request:12445", + "pull_request:12530", + "pull_request:12782", + "pull_request:13039", + "pull_request:13164", + "pull_request:13323", + "pull_request:1355", + "pull_request:1564", + "pull_request:1582", + "pull_request:1583", + "pull_request:1966", + "pull_request:2339", + "pull_request:2464", + "pull_request:2470", + "pull_request:3037", + "pull_request:5312", + "pull_request:5759", + "pull_request:6217", + "pull_request:6646", + "pull_request:6898", + "pull_request:6908", + "pull_request:6999", + "pull_request:7632", + "pull_request:8627", + "pull_request:8660", + "pull_request:8684", + "pull_request:8797", + "pull_request:8883", + "pull_request:9021", + "pull_request:9024", + "pull_request:9048", + "pull_request:9060", + "pull_request:9175", + "pull_request:9257", + "pull_request:9400", + "pull_request:9506", + "pull_request:9507", + "pull_request:9696", + "pull_request:9705", + "pull_request:980", + "pull_request:981" + ], + "soft_pairs": [ + "pull_request:8627|pull_request:9400", + "pull_request:8660|pull_request:9060", + "pull_request:8684|pull_request:9506", + "pull_request:8797|pull_request:9696", + "pull_request:8883|pull_request:9024", + "pull_request:9021|pull_request:9257", + "pull_request:9048|pull_request:9705", + "pull_request:980|pull_request:981", + "pull_request:1355|pull_request:1966", + "pull_request:12086|pull_request:12445", + "pull_request:5312|pull_request:5759", + "pull_request:6898|pull_request:6908", + "pull_request:9175|pull_request:9507", + "pull_request:11994|pull_request:12782", + "pull_request:12782|pull_request:13323", + "pull_request:13039|pull_request:13323", + "pull_request:1564|pull_request:2339", + "pull_request:2470|pull_request:3037", + "pull_request:6217|pull_request:7632", + "pull_request:6646|pull_request:6999", + "pull_request:10205|pull_request:10810", + "pull_request:11067|pull_request:11894", + "pull_request:12530|pull_request:13164", + "pull_request:1582|pull_request:2464", + "pull_request:1583|pull_request:2464" + ], + "prepared_review_unit_hash": "ee041b9da1d5558ad73beb3db1491f4f59605061c466dd33deb8bd7613651f45", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 98371, + "estimated_input_tokens": 24593, + "estimated_eval_tokens": 49442 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: most pairs only share a broad subsystem or wording, not the same underlying bug/change. I would reject every soft edge; none are safe duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a safe canonical for this cluster; the items span unrelated docs, CI, tests, and feature/fix changes.", + "best_issue_reason": null, + "best_pr_reason": "If forced to pick one representative, PR 9507 is the strongest standalone code-fix PR, but it is not a duplicate of the others and the cluster is too mixed for a true canonical.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8627", + "right": "pull_request:9400", + "accept": false, + "reason": "Different changes: SD3 ControlNet test/docs additions vs device-agnostic single-file test helper updates." + }, + { + "left": "pull_request:8660", + "right": "pull_request:9060", + "accept": false, + "reason": "Different bugs: SD3 ControlNet max_sequence_length validation vs removing a debug print in Flux transformer." + }, + { + "left": "pull_request:8684", + "right": "pull_request:9506", + "accept": false, + "reason": "Different docs fixes in different files; one is a Pillow import note, the other is text-to-video/coreml doc cleanup." + }, + { + "left": "pull_request:8797", + "right": "pull_request:9696", + "accept": false, + "reason": "Different areas: sharding test adjustments vs workflow input validation for PR test runs." + }, + { + "left": "pull_request:8883", + "right": "pull_request:9024", + "accept": false, + "reason": "Both are CI/workflow changes, but they fix different infrastructure issues and are not one concrete change." + }, + { + "left": "pull_request:9021", + "right": "pull_request:9257", + "accept": false, + "reason": "Different products and code paths: SD3 ControlNet layer loading vs Flux DreamBooth tokenization/text input handling." + }, + { + "left": "pull_request:9048", + "right": "pull_request:9705", + "accept": false, + "reason": "Both touch Flux docs/readmes, but they are separate documentation edits with no shared bug or change." + }, + { + "left": "pull_request:980", + "right": "pull_request:981", + "accept": false, + "reason": "Same project, different issues: FP16/audio dtype changes vs a naming/doc API change." + }, + { + "left": "pull_request:1355", + "right": "pull_request:1966", + "accept": false, + "reason": "Both add Flax pipelines, but img2img and inpainting are distinct features with different code paths." + }, + { + "left": "pull_request:12086", + "right": "pull_request:12445", + "accept": false, + "reason": "Related Flux modular work, but one adds Flux I2I support and the other aligns modules with Qwen modular; not the same fix." + }, + { + "left": "pull_request:5312", + "right": "pull_request:5759", + "accept": false, + "reason": "Both improve docs/type hints, but they are broad unrelated documentation refactors rather than one change." + }, + { + "left": "pull_request:6898", + "right": "pull_request:6908", + "accept": false, + "reason": "The SDXL ControlNet model-card file overlaps, but 6908 is a narrower standalone model-card update and not the same change as the multi-script standardization in 6898." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9507", + "accept": false, + "reason": "Same Flux ControlNet area, but one adds Union ControlNet support while the other fixes control mode batching behavior; distinct code-path changes." + }, + { + "left": "pull_request:11994", + "right": "pull_request:12782", + "accept": false, + "reason": "Unrelated fixes: huggingface-hub test failures vs HunyuanVideo 1.5 offloading test tweaks." + }, + { + "left": "pull_request:12782", + "right": "pull_request:13323", + "accept": false, + "reason": "Different test failures: Hunyuan offloading settings vs generic to_device/to_dtype test cleanup." + }, + { + "left": "pull_request:13039", + "right": "pull_request:13323", + "accept": false, + "reason": "Different test fixes in different models: WAN CPU upcasting vs generic device/dtype test behavior." + }, + { + "left": "pull_request:1564", + "right": "pull_request:2339", + "accept": false, + "reason": "Both touch training docs, but default accelerate config and DreamBooth checkpointing are unrelated changes." + }, + { + "left": "pull_request:2470", + "right": "pull_request:3037", + "accept": false, + "reason": "Both are MPS test fixes, but they target different tests and failure modes." + }, + { + "left": "pull_request:6217", + "right": "pull_request:7632", + "accept": false, + "reason": "Unrelated pipelines: Stable Video Diffusion torch.compile VAE handling vs DreamBooth VAE loading path." + }, + { + "left": "pull_request:6646", + "right": "pull_request:6999", + "accept": false, + "reason": "Both are SVD fixes, but one changes resolution constraints and the other fixes image-tensor handling; 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not the same bug." + }, + { + "left": "pull_request:2928", + "right": "pull_request:2994", + "accept": false, + "reason": "Same script family, but one adds local dataset loading and the other fixes type-casting during training; distinct changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 48, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10222", + "pull_request:10402", + "pull_request:10404", + "pull_request:10825", + "pull_request:10858", + "pull_request:11248", + "pull_request:11303", + "pull_request:11505", + "pull_request:11835", + "pull_request:12018", + "pull_request:12231", + "pull_request:12527", + "pull_request:12552", + "pull_request:12775", + "pull_request:12782", + "pull_request:12883", + "pull_request:13382", + "pull_request:1513", + "pull_request:16", + "pull_request:1977", + "pull_request:2172", + "pull_request:2396", + "pull_request:2415", + "pull_request:2490", + "pull_request:260", + "pull_request:2642", + "pull_request:2647", + "pull_request:2684", + "pull_request:2685", + "pull_request:2954", + "pull_request:3128", + "pull_request:327", + "pull_request:3471", + "pull_request:3499", + "pull_request:3546", + "pull_request:3568", + "pull_request:3577", + "pull_request:360", + "pull_request:3716", + "pull_request:3825", + "pull_request:3921", + "pull_request:3942", + "pull_request:4612", + "pull_request:5499", + "pull_request:5979", + "pull_request:9286", + "pull_request:9760" + ], + "soft_pairs": [ + "pull_request:3499|pull_request:3546", + "pull_request:3921|pull_request:5979", + "pull_request:10222|pull_request:9286", + "pull_request:10402|pull_request:10858", + "pull_request:10404|pull_request:11248", + "pull_request:10404|pull_request:11303", + "pull_request:10825|pull_request:9760", + "pull_request:11505|pull_request:12018", + "pull_request:11835|pull_request:12782", + "pull_request:12231|pull_request:12883", + "pull_request:12527|pull_request:12552", + "pull_request:12775|pull_request:13382", + "pull_request:1513|pull_request:3471", + "pull_request:16|pull_request:260", + "pull_request:1977|pull_request:2415", + "pull_request:2172|pull_request:3128", + "pull_request:2396|pull_request:3942", + "pull_request:2490|pull_request:4612", + "pull_request:2642|pull_request:3825", + "pull_request:2647|pull_request:3825", + "pull_request:2684|pull_request:3825", + "pull_request:2685|pull_request:3825", + "pull_request:2954|pull_request:3716", + "pull_request:327|pull_request:360", + "pull_request:3568|pull_request:4612", + "pull_request:3577|pull_request:5499" + ], + "prepared_review_unit_hash": "cafd536d04bad468c33ff9770c2b0c96665e69e7a42345f7ab5e9d76bbd58016", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 94252, + "estimated_input_tokens": 23563, + "estimated_eval_tokens": 47382 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated docs typo/link edits, separate training/test fixes, and distinct pipeline/model changes. The soft edges mostly reflect broad topical similarity (docs, typos, tests, pipelines) rather than the same underlying bug or change, so none should be merged as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents the cluster; the items span unrelated fixes across docs, tests, and different code paths.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR: there is no common underlying change tying these artifacts together.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3499", + "right": "pull_request:3546", + "accept": false, + "reason": "Same panorama file, but one fixes DPMSolver-specific behavior and the other broadens scheduler support; different code-path changes." + }, + { + "left": "pull_request:3921", + "right": "pull_request:5979", + "accept": false, + "reason": "Different features: blended latent diffusion community pipeline vs DDGAN pipeline/scheduler." + }, + { + "left": "pull_request:10222", + "right": "pull_request:9286", + "accept": false, + "reason": "Unrelated changes: ControlNet XLA support vs exporting FluxMultiControlNetModel in __init__." + }, + { + "left": "pull_request:10402", + "right": "pull_request:10858", + "accept": false, + "reason": "Different docs pages and topics; broken hunyuan links vs pipeline overview terminology." + }, + { + "left": "pull_request:10404", + "right": "pull_request:11248", + "accept": false, + "reason": "Both are doc typos, but they fix different files and different wording issues in unrelated pages." + }, + { + "left": "pull_request:10404", + "right": "pull_request:11303", + "accept": false, + "reason": "Same broad docs-typo theme, but unrelated files and corrections; not the same change." + }, + { + "left": "pull_request:10825", + "right": "pull_request:9760", + "accept": false, + "reason": "Different README/doc content updates with no shared bug or change request." + }, + { + "left": "pull_request:11505", + "right": "pull_request:12018", + "accept": false, + "reason": "Both touch docs, but one fixes invalid links and the other renames a quantization section; unrelated." + }, + { + "left": "pull_request:11835", + "right": "pull_request:12782", + "accept": false, + "reason": "Different test failures and models: float16 CUDA tests vs HunyuanVideo offloading tests." + }, + { + "left": "pull_request:12231", + "right": "pull_request:12883", + "accept": false, + "reason": "Both are typo fixes, but they affect different docs/example files and different wording issues." + }, + { + "left": "pull_request:12527", + "right": "pull_request:12552", + "accept": false, + "reason": "Pipeline logic bug fix vs docs typo cleanup; not the same underlying change." + }, + { + "left": "pull_request:12775", + "right": "pull_request:13382", + "accept": false, + "reason": "Different documentation additions: Z-Image docs vs auto-docstring/parameter-template docs." + }, + { + "left": "pull_request:1513", + "right": "pull_request:3471", + "accept": false, + "reason": "Same DreamBooth README, but they add different guidance and address different doc content." + }, + { + "left": "pull_request:16", + "right": "pull_request:260", + "accept": false, + "reason": "Different README files and unrelated typo/wording fixes." + }, + { + "left": "pull_request:1977", + "right": "pull_request:2415", + "accept": false, + "reason": "Different code paths: colossalai seed handling vs transformers-version fallback in pipeline loading." + }, + { + "left": "pull_request:2172", + "right": "pull_request:3128", + "accept": false, + "reason": "Separate training bugs: multi-GPU validation behavior vs img2img timestep selection." + }, + { + "left": "pull_request:2396", + "right": "pull_request:3942", + "accept": false, + "reason": "Different test issues: scheduler warning suppression vs NumPy test cleanup." + }, + { + "left": "pull_request:2490", + "right": "pull_request:4612", + "accept": false, + "reason": "Different docs topics: MultiDiffusion addition vs Instruct Pix2Pix link fixes." + }, + { + "left": "pull_request:2642", + "right": "pull_request:3825", + "accept": false, + "reason": "Both are link edits, but they are in unrelated docs pages and fix different paths." + }, + { + "left": "pull_request:2647", + "right": "pull_request:3825", + "accept": false, + "reason": "Different docs pages and unrelated wording fixes." + }, + { + "left": "pull_request:2684", + "right": "pull_request:3825", + "accept": false, + "reason": "Separate docs corrections on unrelated pages; same broad typo theme is too weak." + }, + { + "left": "pull_request:2685", + "right": "pull_request:3825", + "accept": false, + "reason": "Different docs pages and different small wording fixes." + }, + { + "left": "pull_request:2954", + "right": "pull_request:3716", + "accept": false, + "reason": "Different pipeline additions: TextToVideoZero versus ParaDiGMS." + }, + { + "left": "pull_request:327", + "right": "pull_request:360", + "accept": false, + "reason": "Both are type-hint cleanups, but for different classes/files and unrelated code paths." + }, + { + "left": "pull_request:3568", + "right": "pull_request:4612", + "accept": false, + "reason": "Different docs link fixes in separate tutorial pages." + }, + { + "left": "pull_request:3577", + "right": "pull_request:5499", + "accept": false, + "reason": "Both update links, but one is README-wide branding/URL edits and the other is a broad docs link sweep." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 49, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11469", + "pull_request:11716", + "pull_request:1229", + "pull_request:12418", + "pull_request:12714", + "pull_request:1508", + "pull_request:2892", + "pull_request:3334", + "pull_request:382", + "pull_request:388", + "pull_request:3923", + "pull_request:3987", + "pull_request:4188", + "pull_request:4242", + "pull_request:4352", + "pull_request:4373", + "pull_request:4574", + "pull_request:4707", + "pull_request:4749", + "pull_request:4833", + "pull_request:4859", + "pull_request:5003", + "pull_request:5015", + "pull_request:5051", + "pull_request:5129", + "pull_request:5157", + "pull_request:5202", + "pull_request:5236", + "pull_request:5298", + "pull_request:5420", + "pull_request:5470", + "pull_request:5833", + "pull_request:5834", + "pull_request:6215", + "pull_request:6342", + "pull_request:7050", + "pull_request:7068", + "pull_request:7118", + "pull_request:7632", + "pull_request:8490", + "pull_request:8642", + "pull_request:8860", + "pull_request:9070", + "pull_request:9083", + "pull_request:9086", + "pull_request:9100", + "pull_request:9754", + "pull_request:9760" + ], + "soft_pairs": [ + "pull_request:382|pull_request:388", + "pull_request:3923|pull_request:5236", + "pull_request:3987|pull_request:4707", + "pull_request:4574|pull_request:6342", + "pull_request:5003|pull_request:5298", + "pull_request:5051|pull_request:7068", + "pull_request:5157|pull_request:5833", + "pull_request:7050|pull_request:7118", + "pull_request:8490|pull_request:9760", + "pull_request:8642|pull_request:9100", + "pull_request:8860|pull_request:9760", + "pull_request:9070|pull_request:9083", + "pull_request:9086|pull_request:9754", + "pull_request:4352|pull_request:5470", + "pull_request:5129|pull_request:5202", + "pull_request:1229|pull_request:1508", + "pull_request:2892|pull_request:4373", + "pull_request:3334|pull_request:5015", + "pull_request:4188|pull_request:5420", + "pull_request:4242|pull_request:5833", + "pull_request:4242|pull_request:5834", + "pull_request:4749|pull_request:4859", + "pull_request:4833|pull_request:5157", + "pull_request:6215|pull_request:7632", + "pull_request:11469|pull_request:12418", + "pull_request:11716|pull_request:12714" + ], + "prepared_review_unit_hash": "ce57d02c43c922a88c4cb67039c9d66da6b6884f4477160f6b1c41ac7e56015f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 91928, + "estimated_input_tokens": 22982, + "estimated_eval_tokens": 46220 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated docs updates, CI/test xfails, and several distinct LoRA/Flux/DreamBooth code fixes. I do not see a single duplicate underlying bug or change, so all soft edges are rejected.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR fits the cluster; the items span unrelated fixes and documentation changes across different subsystems and time periods.", + "best_issue_reason": null, + "best_pr_reason": "No clear global best PR for duplicate triage; the cluster does not represent one underlying change, so any choice would be arbitrary.", + "soft_edge_verdicts": [ + { + "left": "pull_request:382", + "right": "pull_request:388", + "accept": false, + "reason": "Both are docs PRs, but they document different pipelines (DDPM vs unconditional latent diffusion) and do not share the same change." + }, + { + "left": "pull_request:3923", + "right": "pull_request:5236", + "accept": false, + "reason": "Unrelated docs fixes: one adds a missing torch import in stable diffusion docs, the other cleans up Korean unconditional image generation formatting." + }, + { + "left": "pull_request:3987", + "right": "pull_request:4707", + "accept": false, + "reason": "Different problems and files: an Audio Diffusion snippet fix vs custom diffusion training README updates." + }, + { + "left": "pull_request:4574", + "right": "pull_request:6342", + "accept": false, + "reason": "Both touch README-style guidance, but one updates InstructPix2Pix hub examples while the other is an installation note; not the same change." + }, + { + "left": "pull_request:5003", + "right": "pull_request:5298", + "accept": false, + "reason": "Both are LoRA-related, but one fixes fuse/unfuse state handling while the other changes conv forward behavior for torch.compile; distinct bugs." + }, + { + "left": "pull_request:5051", + "right": "pull_request:7068", + "accept": false, + "reason": "Both are typo/docs PRs, but they affect different documentation pages and unrelated content." + }, + { + "left": "pull_request:5157", + "right": "pull_request:5833", + "accept": false, + "reason": "ControlNet/Kohya LoRA conversion fix vs Flux single-file loading docs/features; no shared concrete bug." + }, + { + "left": "pull_request:7050", + "right": "pull_request:7118", + "accept": false, + "reason": "Both are typo cleanups, but they target different docs pages and examples rather than one duplicated issue." + }, + { + "left": "pull_request:8490", + "right": "pull_request:9760", + "accept": false, + "reason": "Different README edits in different contexts; these are not the same underlying change." + }, + { + "left": "pull_request:8642", + "right": "pull_request:9100", + "accept": false, + "reason": "Unrelated typo fixes in Stable Diffusion 3 docs vs text-to-image LoRA script help text." + }, + { + "left": "pull_request:8860", + "right": "pull_request:9760", + "accept": false, + "reason": "One is an SD3 README update; the other is a general README wording cleanup. Not the same bug/change." + }, + { + "left": "pull_request:9070", + "right": "pull_request:9083", + "accept": false, + "reason": "Flux img2img pipeline implementation and Flux single-file Transformer support are different features, not one duplicate fix." + }, + { + "left": "pull_request:9086", + "right": "pull_request:9754", + "accept": false, + "reason": "Both are Flux training-related, but one adds DreamBooth LoRA scripts and the other adds a quantized research training project; different codepaths and goals." + }, + { + "left": "pull_request:4352", + "right": "pull_request:5470", + "accept": false, + "reason": "Kandinsky CPU/xformers helpers vs ControlNet inpaint pipeline fixes; unrelated subsystems and changes." + }, + { + "left": "pull_request:5129", + "right": "pull_request:5202", + "accept": false, + "reason": "Both concern LoRA checkpoint handling, but one adds multi-LoRA fuse/unfuse support while the other maps Kohya checkpoint keys; separate problems." + }, + { + "left": "pull_request:1229", + "right": "pull_request:1508", + "accept": false, + "reason": "Both edit DreamBooth README content, but one is training setup guidance and the other clarifies num_class_images behavior; not a duplicate change." + }, + { + "left": "pull_request:2892", + "right": "pull_request:4373", + "accept": false, + "reason": "These affect different Stable Diffusion XL pipeline behaviors: input validation for embeds vs resize/default size handling." + }, + { + "left": "pull_request:3334", + "right": "pull_request:5015", + "accept": false, + "reason": "A docstring formatting fix and a broken-link fix are unrelated documentation edits." + }, + { + "left": "pull_request:4188", + "right": "pull_request:5420", + "accept": false, + "reason": "One changes SDXL ControlNet training caching behavior; the other is a basic training docs follow-up. Different artifacts and purposes." + }, + { + "left": "pull_request:4242", + "right": "pull_request:5833", + "accept": false, + "reason": "Single-file VAE loading support vs Flux single-file loading docs/support are not the same concrete fix." + }, + { + "left": "pull_request:4242", + "right": "pull_request:5834", + "accept": false, + "reason": "Single-file VAE loading support and a ControlNet single-file import path fix are separate loader issues." + }, + { + "left": "pull_request:4749", + "right": "pull_request:4859", + "accept": false, + "reason": "SDXL LoRA checkpointing and SDXL inpaint fast-test fixes address different codepaths and failure modes." + }, + { + "left": "pull_request:4833", + "right": "pull_request:5157", + "accept": false, + "reason": "Both touch LoRA internals, but one fixes fuse/unfuse behavior while the other fixes Kohya/controlnet name conversion; different bugs." + }, + { + "left": "pull_request:6215", + "right": "pull_request:7632", + "accept": false, + "reason": "PixArt test determinism changes and DreamBooth VAE loading are unrelated issues." + }, + { + "left": "pull_request:11469", + "right": "pull_request:12418", + "accept": false, + "reason": "Both xfail tests, but they target different pipelines and different version-triggered failures; not the same failing test set." + }, + { + "left": "pull_request:11716", + "right": "pull_request:12714", + "accept": false, + "reason": "Flux LoRA metadata handling and Flux2 LoRA NaN testing are distinct issues in different codepaths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 50, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10132", + "pull_request:10359", + "pull_request:10497", + "pull_request:10717", + "pull_request:10750", + "pull_request:10867", + "pull_request:11025", + "pull_request:11353", + "pull_request:12055", + "pull_request:12164", + "pull_request:1229", + "pull_request:12526", + "pull_request:12551", + "pull_request:12647", + "pull_request:12983", + "pull_request:13058", + "pull_request:13121", + "pull_request:1513", + "pull_request:1920", + "pull_request:2398", + "pull_request:2588", + "pull_request:2595", + "pull_request:3128", + "pull_request:4272", + "pull_request:4276", + "pull_request:4396", + "pull_request:4621", + "pull_request:4847", + "pull_request:4862", + "pull_request:4886", + "pull_request:5470", + "pull_request:6419", + "pull_request:6448", + "pull_request:6564", + "pull_request:6898", + "pull_request:6907", + "pull_request:6939", + "pull_request:7118", + "pull_request:7131", + "pull_request:7638", + "pull_request:7717", + "pull_request:7738", + "pull_request:7932", + "pull_request:8825", + "pull_request:9207", + "pull_request:9638", + "pull_request:9696" + ], + "soft_pairs": [ + "pull_request:12551|pull_request:12647", + "pull_request:12526|pull_request:13058", + "pull_request:10359|pull_request:9696", + "pull_request:4862|pull_request:5470", + "pull_request:6898|pull_request:6939", + "pull_request:10750|pull_request:9638", + "pull_request:7638|pull_request:7717", + "pull_request:11025|pull_request:11353", + "pull_request:12055|pull_request:12164", + "pull_request:1920|pull_request:2398", + "pull_request:2588|pull_request:4396", + "pull_request:4272|pull_request:4276", + "pull_request:4621|pull_request:6564", + "pull_request:6564|pull_request:8825", + "pull_request:7118|pull_request:9207", + "pull_request:7131|pull_request:9207", + "pull_request:7932|pull_request:9696", + "pull_request:6898|pull_request:6907", + "pull_request:1229|pull_request:1513", + "pull_request:2595|pull_request:3128", + "pull_request:4862|pull_request:4886", + "pull_request:6448|pull_request:7738", + "pull_request:10717|pull_request:10867", + "pull_request:10132|pull_request:10497", + "pull_request:4847|pull_request:6419", + "pull_request:12983|pull_request:13121" + ], + "prepared_review_unit_hash": "629fc3c9a4063eb7772c678543451410880801307248f853bf2f70878b83479d", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 103911, + "estimated_input_tokens": 25978, + "estimated_eval_tokens": 52212 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated PRs across CI, docs, tests, and distinct feature work. None of the soft-edge pairs look like true duplicates of the same underlying bug/change. The clearest standalone PR is Multi IP-Adapter for Flux pipelines because it has a coherent scope, touches the right core files, and explicitly targets an issue.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:10867 is the most canonical standalone PR here: it has an explicit issue target, a coherent feature scope, and a substantial integrated code change across the IP-Adapter/Flux stack.", + "best_issue_reason": null, + "best_pr_reason": "Same reason: it is the strongest self-contained implementation in the set and the most suitable representative PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12551", + "right": "pull_request:12647", + "accept": false, + "reason": "Both skip CI layerwise-casting tests, but they cover different test classes and different failures; not the same change." + }, + { + "left": "pull_request:12526", + "right": "pull_request:13058", + "accept": false, + "reason": "Different features in different LTX/Wan areas; no shared code-path bug or mergeable one-PR overlap." + }, + { + "left": "pull_request:10359", + "right": "pull_request:9696", + "accept": false, + "reason": "One fixes tests, the other changes a workflow trigger/input validation; related area but not the same underlying change." + }, + { + "left": "pull_request:4862", + "right": "pull_request:5470", + "accept": false, + "reason": "Different ControlNet pipeline fixes and docs; they do not address the same concrete bug." + }, + { + "left": "pull_request:6898", + "right": "pull_request:6939", + "accept": false, + "reason": "Both touch model cards, but one is a broad standardization effort and the other is a specific T2I script update." + }, + { + "left": "pull_request:10750", + "right": "pull_request:9638", + "accept": false, + "reason": "Both involve controlnets, but they target different model families and different implementation paths." + }, + { + "left": "pull_request:7638", + "right": "pull_request:7717", + "accept": false, + "reason": "A link correction and docstring style cleanup are unrelated changes." + }, + { + "left": "pull_request:11025", + "right": "pull_request:11353", + "accept": false, + "reason": "Wan LoRA support and Wan-FLF2V support are distinct features with different code paths." + }, + { + "left": "pull_request:12055", + "right": "pull_request:12164", + "accept": false, + "reason": "Initial Qwen-Image support and Qwen Image Edit support are related but separate feature additions." + }, + { + "left": "pull_request:1920", + "right": "pull_request:2398", + "accept": false, + "reason": "Different documentation areas and different changes; no duplicate bug/change." + }, + { + "left": "pull_request:2588", + "right": "pull_request:4396", + "accept": false, + "reason": "Text-encoder LoRA support and a prompt encoding fallback fix are separate issues." + }, + { + "left": "pull_request:4272", + "right": "pull_request:4276", + "accept": false, + "reason": "One fixes optional imports; the other adds an import test. Same subsystem, different change." + }, + { + "left": "pull_request:4621", + "right": "pull_request:6564", + "accept": false, + "reason": "Multi-adapter downscale validation and IP Adapter path generation are unrelated." + }, + { + "left": "pull_request:6564", + "right": "pull_request:8825", + "accept": false, + "reason": "IP Adapter path handling and K-Diffusion ControlNet/IP-Adapter support are not the same code-path fix." + }, + { + "left": "pull_request:7118", + "right": "pull_request:9207", + "accept": false, + "reason": "Typos in docs and CPU offloading usage updates are unrelated documentation fixes." + }, + { + "left": "pull_request:7131", + "right": "pull_request:9207", + "accept": false, + "reason": "These are different docs-only fixes with different target pages and concerns." + }, + { + "left": "pull_request:7932", + "right": "pull_request:9696", + "accept": false, + "reason": "LoRA test expectation cleanup and PR workflow changes are unrelated." + }, + { + "left": "pull_request:6898", + "right": "pull_request:6907", + "accept": false, + "reason": "Both standardize model cards, but across different example scripts and with different scope." + }, + { + "left": "pull_request:1229", + "right": "pull_request:1513", + "accept": false, + "reason": "DreamBooth README updates for different setup topics; not the same change." + }, + { + "left": "pull_request:2595", + "right": "pull_request:3128", + "accept": false, + "reason": "Scheduler config switching and img2img timestep selection fix different bugs." + }, + { + "left": "pull_request:4862", + "right": "pull_request:4886", + "accept": false, + "reason": "ControlNet img2img height/width fix vs upscale pipeline safety checker fix; distinct code paths." + }, + { + "left": "pull_request:6448", + "right": "pull_request:7738", + "accept": false, + "reason": "Different LoRA test/device issues; same broad area but not the same bug." + }, + { + "left": "pull_request:10717", + "right": "pull_request:10867", + "accept": false, + "reason": "One adds IP-Adapter to FluxImg2Img; the other extends Flux pipelines to multi-IP-Adapter support. Related, but not duplicates." + }, + { + "left": "pull_request:10132", + "right": "pull_request:10497", + "accept": false, + "reason": "Both touch tokenizers CI setup, but the later PR is a correction to the install target, not the same concrete change." + }, + { + "left": "pull_request:4847", + "right": "pull_request:6419", + "accept": false, + "reason": "A community example and a WIP in-context-learning example are different artifacts and features." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 51, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10115", + "pull_request:10192", + "pull_request:1020", + "pull_request:10222", + "pull_request:10230", + "pull_request:10232", + "pull_request:10253", + "pull_request:10259", + "pull_request:10278", + "pull_request:10318", + "pull_request:10340", + "pull_request:10358", + "pull_request:10376", + "pull_request:10394", + "pull_request:1041", + "pull_request:10431", + "pull_request:10434", + "pull_request:10498", + "pull_request:10531", + "pull_request:10548", + "pull_request:1077", + "pull_request:10802", + "pull_request:10819", + "pull_request:10888", + "pull_request:10938", + "pull_request:11204", + "pull_request:11319", + "pull_request:11546", + "pull_request:11623", + "pull_request:11634", + "pull_request:11770", + "pull_request:11789", + "pull_request:11847", + "pull_request:11851", + "pull_request:1194", + "pull_request:11983", + "pull_request:1412", + "pull_request:2788", + "pull_request:531", + "pull_request:5979", + "pull_request:6303", + "pull_request:8481", + "pull_request:8600", + "pull_request:9116", + "pull_request:9196", + "pull_request:9734", + "pull_request:9760", + "pull_request:9860" + ], + "soft_pairs": [ + "pull_request:5979|pull_request:6303", + "pull_request:10192|pull_request:10259", + "pull_request:10340|pull_request:10431", + "pull_request:10115|pull_request:8481", + "pull_request:1020|pull_request:1194", + "pull_request:1020|pull_request:2788", + "pull_request:10222|pull_request:8600", + "pull_request:10230|pull_request:10318", + "pull_request:10232|pull_request:9734", + "pull_request:10253|pull_request:9196", + "pull_request:10278|pull_request:11634", + "pull_request:10358|pull_request:11319", + "pull_request:10376|pull_request:11546", + "pull_request:10394|pull_request:9116", + "pull_request:1041|pull_request:531", + "pull_request:10434|pull_request:11847", + "pull_request:10498|pull_request:11204", + "pull_request:10531|pull_request:11851", + "pull_request:10548|pull_request:11789", + "pull_request:1077|pull_request:1412", + "pull_request:10802|pull_request:11623", + "pull_request:10819|pull_request:11770", + "pull_request:10819|pull_request:11851", + "pull_request:10888|pull_request:9860", + "pull_request:10938|pull_request:11983", + "pull_request:10938|pull_request:9760" + ], + "prepared_review_unit_hash": "0a368fe46ddbdc05e28fe4d316a9b80d2d18d513da96518be65bde0e5af56363", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 96911, + "estimated_input_tokens": 24228, + "estimated_eval_tokens": 48712 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated docs, test, and feature PRs across Flux, Sana, HunyuanVideo, ControlNet, torchao, and more. 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one is an example README/code package, the other is an IF textual inversion WIP." + }, + { + "left": "pull_request:2767", + "right": "pull_request:3359", + "accept": false, + "reason": "Same file family, but one updates PEFT handling and the other disables safety checker; different changes." + }, + { + "left": "pull_request:2792", + "right": "pull_request:3449", + "accept": false, + "reason": "Related to MPS/tests broadly, but they fix different test suites and include different refactors." + }, + { + "left": "pull_request:2808", + "right": "pull_request:3755", + "accept": false, + "reason": "Both relax tests, but for different models and failure modes; not the same bug." + }, + { + "left": "pull_request:2839", + "right": "pull_request:4472", + "accept": false, + "reason": "Different README files and different content updates; no same underlying change." + }, + { + "left": "pull_request:2873", + "right": "pull_request:3744", + "accept": false, + "reason": "Docs phrasing cleanup vs workflow secret rename; 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not one mergeable bug fix." + }, + { + "left": "pull_request:3132", + "right": "pull_request:975", + "accept": false, + "reason": "Unrelated typo cleanup in docs title vs pipeline type annotation correction." + }, + { + "left": "pull_request:3183", + "right": "pull_request:957", + "accept": false, + "reason": "DreamBooth LoRA checkpoint bug and text-to-image scheduler initialization bug are different code paths." + }, + { + "left": "pull_request:3345", + "right": "pull_request:5568", + "accept": false, + "reason": "README example cleanup vs a real custom-pipeline loading bug fix; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 56, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:3446", + "pull_request:3458", + "pull_request:3460", + "pull_request:3577", + "pull_request:3641", + "pull_request:3709", + "pull_request:3710", + "pull_request:3786", + "pull_request:3819", + "pull_request:3821", + "pull_request:3894", + "pull_request:3923", + "pull_request:3971", + "pull_request:3985", + "pull_request:4012", + "pull_request:408", + "pull_request:4172", + "pull_request:4275", + "pull_request:4320", + "pull_request:4350", + "pull_request:4352", + "pull_request:4472", + "pull_request:4596", + "pull_request:4626", + "pull_request:4721", + "pull_request:4746", + "pull_request:4822", + "pull_request:4853", + "pull_request:4869", + "pull_request:4887", + "pull_request:4965", + "pull_request:5", + "pull_request:5250", + "pull_request:5286", + "pull_request:5454", + "pull_request:5505", + "pull_request:555", + "pull_request:5640", + "pull_request:5707", + "pull_request:5983", + "pull_request:6311", + "pull_request:6339", + "pull_request:6342", + "pull_request:6592", + "pull_request:6787", + "pull_request:710", + "pull_request:889" + ], + "soft_pairs": [ + "pull_request:3446|pull_request:4352", + "pull_request:3458|pull_request:5250", + "pull_request:3460|pull_request:5250", + "pull_request:3577|pull_request:4626", + "pull_request:3641|pull_request:4352", + "pull_request:3709|pull_request:4853", + "pull_request:3710|pull_request:3821", + "pull_request:3710|pull_request:5286", + "pull_request:3786|pull_request:3894", + "pull_request:3786|pull_request:4172", + "pull_request:3819|pull_request:5454", + "pull_request:3923|pull_request:5983", + "pull_request:3971|pull_request:4721", + "pull_request:3971|pull_request:6339", + "pull_request:3985|pull_request:5640", + "pull_request:4012|pull_request:5640", + "pull_request:408|pull_request:710", + "pull_request:4275|pull_request:4965", + "pull_request:4320|pull_request:5505", + "pull_request:4350|pull_request:6339", + "pull_request:4472|pull_request:6342", + "pull_request:4596|pull_request:6311", + "pull_request:4746|pull_request:6592", + "pull_request:4822|pull_request:5505", + "pull_request:4869|pull_request:5707", + "pull_request:4887|pull_request:6787", + "pull_request:5|pull_request:555", + "pull_request:5|pull_request:889" + ], + "prepared_review_unit_hash": "d7753e9e0736de1491441cb86e20a75c3b53e03e98c050f2d6b31224ed204277", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 95234, + "estimated_input_tokens": 23809, + "estimated_eval_tokens": 47874 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated docs typo fixes, pipeline behavior fixes, feature additions, and standalone tutorials. I do not see any soft-edge pair that looks like the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a safe canonical for the cluster; the items span unrelated changes across docs, pipelines, tests, and scripts.", + "best_issue_reason": null, + "best_pr_reason": "PR 3971 is the broadest repo-wide maintenance change in the set, but it is still only a weak representative because the cluster is not a true duplicate group.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3446", + "right": "pull_request:4352", + "accept": false, + "reason": "Different code paths and goals: pipeline warning text vs Kandinsky combined pipeline methods/tests." + }, + { + "left": "pull_request:3458", + "right": "pull_request:5250", + "accept": false, + "reason": "Inpaint LoRA support vs DDPO docs entry are unrelated changes." + }, + { + "left": "pull_request:3460", + "right": "pull_request:5250", + "accept": false, + "reason": "Inpaint LoRA support and DDPO docs entry are unrelated." + }, + { + "left": "pull_request:3577", + "right": "pull_request:4626", + "accept": false, + "reason": "Both touch docs links, but they fix different pages and different broken links." + }, + { + "left": "pull_request:3641", + "right": "pull_request:4352", + "accept": false, + "reason": "Initial-latents inpainting bug fix vs Kandinsky combined pipeline feature work." + }, + { + "left": "pull_request:3709", + "right": "pull_request:4853", + "accept": false, + "reason": "Adding image processor docs is unrelated to fixing image processor width handling." + }, + { + "left": "pull_request:3710", + "right": "pull_request:3821", + "accept": false, + "reason": "English image-processor docs vs Korean translated pipeline docs are different documentation changes." + }, + { + "left": "pull_request:3710", + "right": "pull_request:5286", + "accept": false, + "reason": "English docs addition vs Japanese index translation are not the same change." + }, + { + "left": "pull_request:3786", + "right": "pull_request:3894", + "accept": false, + "reason": "PR template addition is unrelated to Flax UNet dropout implementation." + }, + { + "left": "pull_request:3786", + "right": "pull_request:4172", + "accept": false, + "reason": "PR template addition is unrelated to Flax model type-casting changes." + }, + { + "left": "pull_request:3819", + "right": "pull_request:5454", + "accept": false, + "reason": "README FAQ content and schedulers docs wording are unrelated docs changes." + }, + { + "left": "pull_request:3923", + "right": "pull_request:5983", + "accept": false, + "reason": "Different docs pages and unrelated fixes: missing torch import vs SVD documentation formatting." + }, + { + "left": "pull_request:3971", + "right": "pull_request:4721", + "accept": false, + "reason": "SDXL docs cleanup and Korean DreamBooth docs are unrelated documentation updates." + }, + { + "left": "pull_request:3971", + "right": "pull_request:6339", + "accept": false, + "reason": "SDXL docs/workflow fix is unrelated to AnimateDiff doc edits." + }, + { + "left": "pull_request:3985", + "right": "pull_request:5640", + "accept": false, + "reason": "SDXL doc refinements and AnimateDiff doc nits are separate pages and separate edits." + }, + { + "left": "pull_request:4012", + "right": "pull_request:5640", + "accept": false, + "reason": "Dance Diffusion doc wording and AnimateDiff docs are different pipeline docs." + }, + { + "left": "pull_request:408", + "right": "pull_request:710", + "accept": false, + "reason": "Generic typo cleanup across several docs is not the same concrete fix as the specific UNet docstring correction." + }, + { + "left": "pull_request:4275", + "right": "pull_request:4965", + "accept": false, + "reason": "Autopipeline docs and Wuerstchen docs formatting are unrelated." + }, + { + "left": "pull_request:4320", + "right": "pull_request:5505", + "accept": false, + "reason": "Typos in ONNX docs do not match ControlNet docs/API naming fixes." + }, + { + "left": "pull_request:4350", + "right": "pull_request:6339", + "accept": false, + "reason": "T2I Adapter dtype doc fix is unrelated to AnimateDiff docs." + }, + { + "left": "pull_request:4472", + "right": "pull_request:6342", + "accept": false, + "reason": "SDXL README edits and installation.md updates are unrelated documentation changes." + }, + { + "left": "pull_request:4596", + "right": "pull_request:6311", + "accept": false, + "reason": "SDXL conversion script addition and diffusion-fast tutorial are unrelated." + }, + { + "left": "pull_request:4746", + "right": "pull_request:6592", + "accept": false, + "reason": "Both mention inpainting, but they are different training-script efforts with different scopes and files." + }, + { + "left": "pull_request:4822", + "right": "pull_request:5505", + "accept": false, + "reason": "LoRA warning typo fix and ControlNet docs/API typo fix are unrelated." + }, + { + "left": "pull_request:4869", + "right": "pull_request:5707", + "accept": false, + "reason": "Combined pipeline tests and LCM tests target different code paths and features." + }, + { + "left": "pull_request:4887", + "right": "pull_request:6787", + "accept": false, + "reason": "Kandinsky prior_emb2emb API cleanup and Marigold image normalization bug fix are unrelated." + }, + { + "left": "pull_request:5", + "right": "pull_request:555", + "accept": false, + "reason": "Early UNet model addition and Flax VAE addition are different core components." + }, + { + "left": "pull_request:5", + "right": "pull_request:889", + "accept": false, + "reason": "UNet model introduction and Stable Diffusion components accessor are not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 57, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:5051", + "pull_request:5184", + "pull_request:5267", + "pull_request:5332", + "pull_request:5454", + "pull_request:5533", + "pull_request:555", + "pull_request:5640", + "pull_request:5686", + "pull_request:5707", + "pull_request:5723", + "pull_request:574", + "pull_request:5855", + "pull_request:5901", + "pull_request:5982", + "pull_request:6002", + "pull_request:6174", + "pull_request:6207", + "pull_request:6215", + "pull_request:6217", + "pull_request:6314", + "pull_request:6322", + "pull_request:6360", + "pull_request:6401", + "pull_request:6419", + "pull_request:6433", + "pull_request:6453", + "pull_request:6466", + "pull_request:6475", + "pull_request:6511", + "pull_request:6633", + "pull_request:6752", + "pull_request:6760", + "pull_request:6775", + "pull_request:6787", + "pull_request:6847", + "pull_request:6904", + "pull_request:6941", + "pull_request:6961", + "pull_request:7150", + "pull_request:7181", + "pull_request:7353", + "pull_request:7747", + "pull_request:7797", + "pull_request:7932", + "pull_request:7963", + "pull_request:8427", + "pull_request:8851" + ], + "soft_pairs": [ + "pull_request:5051|pull_request:7181", + "pull_request:5184|pull_request:5707", + "pull_request:5267|pull_request:7150", + "pull_request:5332|pull_request:6322", + "pull_request:5454|pull_request:7150", + "pull_request:5533|pull_request:5686", + "pull_request:555|pull_request:574", + "pull_request:5640|pull_request:6466", + "pull_request:5707|pull_request:5723", + "pull_request:5855|pull_request:7150", + "pull_request:5901|pull_request:6847", + "pull_request:5901|pull_request:6941", + "pull_request:5982|pull_request:6174", + "pull_request:6002|pull_request:6475", + "pull_request:6207|pull_request:6401", + "pull_request:6215|pull_request:6217", + "pull_request:6314|pull_request:6453", + "pull_request:6360|pull_request:7963", + "pull_request:6419|pull_request:6752", + "pull_request:6433|pull_request:8427", + "pull_request:6475|pull_request:7747", + "pull_request:6511|pull_request:7932", + "pull_request:6633|pull_request:7353", + "pull_request:6760|pull_request:6847", + "pull_request:6775|pull_request:8851", + "pull_request:6787|pull_request:6904", + "pull_request:6961|pull_request:7797" + ], + "prepared_review_unit_hash": "9511215e459458c462c27bae8b101865a0dae534beecf5902f7a98240cb557e8", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 95789, + "estimated_input_tokens": 23948, + "estimated_eval_tokens": 48152 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly unrelated docs/test/feature PRs, and the soft pairs are only superficially similar (same subsystem or filename, but different concrete changes). No pair looks like the same underlying bug or change. Best standalone PR is the IP-Adapter attention masking feature because it has the clearest concrete code change plus docs/tests and strong review activity.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true duplicate PR cluster here; if one PR must represent the set, PR 6847 is the most substantial and clearly scoped feature change with docs/tests and high review activity.", + "best_issue_reason": null, + "best_pr_reason": "PR 6847 is the strongest standalone artifact: concrete feature implementation, explicit issue target, broad but coherent code/docs/test coverage, and much higher discussion/review signal than the other candidates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5051", + "right": "pull_request:7181", + "accept": false, + "reason": "Both are typo/doc cleanup, but they fix different files and different wording issues; not the same change." + }, + { + "left": "pull_request:5184", + "right": "pull_request:5707", + "accept": false, + "reason": "Both add tests, but for different scheduler areas and different behavior; not one shared bug or fix." + }, + { + "left": "pull_request:5267", + "right": "pull_request:7150", + "accept": false, + "reason": "README formatting docs vs callback example docs; unrelated edits." + }, + { + "left": "pull_request:5332", + "right": "pull_request:6322", + "accept": false, + "reason": "Dreambooth LoRA description typo is unrelated to attention-training changes in the training script PR." + }, + { + "left": "pull_request:5454", + "right": "pull_request:7150", + "accept": false, + "reason": "Different documentation pages and different fixes; no shared underlying issue." + }, + { + "left": "pull_request:5533", + "right": "pull_request:5686", + "accept": false, + "reason": "Both speed up tests, but for different pipelines and different test harness changes." + }, + { + "left": "pull_request:555", + "right": "pull_request:574", + "accept": false, + "reason": "Same file, but 555 adds Flax VAE support while 574 is a follow-up bug fix in VAE decoding; not the same change." + }, + { + "left": "pull_request:5640", + "right": "pull_request:6466", + "accept": false, + "reason": "Minor doc nits for different pipelines; unrelated." + }, + { + "left": "pull_request:5707", + "right": "pull_request:5723", + "accept": false, + "reason": "LCM tests vs LCM docs; same topic but different artifacts and no shared bug/change." + }, + { + "left": "pull_request:5855", + "right": "pull_request:7150", + "accept": false, + "reason": "Different README/doc cleanup in separate locations; unrelated." + }, + { + "left": "pull_request:5901", + "right": "pull_request:6847", + "accept": false, + "reason": "Both involve IP-Adapter, but one adds ControlNet Img2Img support and the other adds attention masking; different features." + }, + { + "left": "pull_request:5901", + "right": "pull_request:6941", + "accept": false, + "reason": "Both are IP-Adapter ControlNet-related, but they target different pipelines and capabilities." + }, + { + "left": "pull_request:5982", + "right": "pull_request:6174", + "accept": false, + "reason": "SDXL Turbo docs vs LoRA markdown typo; unrelated." + }, + { + "left": "pull_request:6002", + "right": "pull_request:6475", + "accept": false, + "reason": "Stable Video Diffusion guidance-scale fix vs VAE type doc fix; different code paths." + }, + { + "left": "pull_request:6207", + "right": "pull_request:6401", + "accept": false, + "reason": "Training-script cleanup vs LoRA test cleanup; different scopes and no shared bug." + }, + { + "left": "pull_request:6215", + "right": "pull_request:6217", + "accept": false, + "reason": "PixArt test initialization change vs Stable Video Diffusion torch.compile fix; unrelated." + }, + { + "left": "pull_request:6314", + "right": "pull_request:6453", + "accept": false, + "reason": "Paper-link doc fixes for different models; not a duplicate change." + }, + { + "left": "pull_request:6360", + "right": "pull_request:7963", + "accept": false, + "reason": "Both touch inpaint/controlnet code, but one adds padding_mask_crop across pipelines and the other adds custom timesteps/sigmas; different concrete changes." + }, + { + "left": "pull_request:6419", + "right": "pull_request:6752", + "accept": false, + "reason": "WIP community pipeline vs finished PromptDiffusion pipeline; not the same artifact." + }, + { + "left": "pull_request:6433", + "right": "pull_request:8427", + "accept": false, + "reason": "Community pipeline addition vs workflow debugging change; unrelated." + }, + { + "left": "pull_request:6475", + "right": "pull_request:7747", + "accept": false, + "reason": "SVD VAE type doc fix vs VAE tiling test fix; different issues." + }, + { + "left": "pull_request:6511", + "right": "pull_request:7932", + "accept": false, + "reason": "Torch.compile checkpointing fix vs LoRA test expectation update; unrelated." + }, + { + "left": "pull_request:6633", + "right": "pull_request:7353", + "accept": false, + "reason": "Checkpoint YAML loading fix vs ControlNet SDXL Img2Img pipeline interface update; different code paths." + }, + { + "left": "pull_request:6760", + "right": "pull_request:6847", + "accept": false, + "reason": "Both are IP-Adapter test-related, but one adjusts slow tests and the other implements attention masking; not the same change." + }, + { + "left": "pull_request:6775", + "right": "pull_request:8851", + "accept": false, + "reason": "Missing parameter docs in DDPM scheduler vs AuraFlow docs; unrelated." + }, + { + "left": "pull_request:6787", + "right": "pull_request:6904", + "accept": false, + "reason": "Marigold input normalization bug fix vs generic PIL image loading support; different behavior." + }, + { + "left": "pull_request:6961", + "right": "pull_request:7797", + "accept": false, + "reason": "Single-file checkpoint loader tests vs reduced DDPM fast-test model size; different test changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 58, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11081", + "pull_request:11682", + "pull_request:11835", + "pull_request:12004", + "pull_request:12069", + "pull_request:12551", + "pull_request:12562", + "pull_request:12970", + "pull_request:12988", + "pull_request:13039", + "pull_request:6868", + "pull_request:6946", + "pull_request:6961", + "pull_request:710", + "pull_request:7150", + "pull_request:737", + "pull_request:7410", + "pull_request:7550", + "pull_request:7638", + "pull_request:7803", + "pull_request:7804", + "pull_request:7833", + "pull_request:7919", + "pull_request:7977", + "pull_request:798", + "pull_request:806", + "pull_request:822", + "pull_request:8303", + "pull_request:839", + "pull_request:8478", + "pull_request:8498", + "pull_request:8591", + "pull_request:8631", + "pull_request:8642", + "pull_request:8755", + "pull_request:8775", + "pull_request:8992", + "pull_request:91", + "pull_request:9266", + "pull_request:9408", + "pull_request:9473", + "pull_request:9553", + "pull_request:9591", + "pull_request:9592", + "pull_request:9699", + "pull_request:971", + "pull_request:9832" + ], + "soft_pairs": [ + "pull_request:6961|pull_request:7803", + "pull_request:6961|pull_request:7804", + "pull_request:6961|pull_request:7833", + "pull_request:710|pull_request:798", + "pull_request:7150|pull_request:9266", + "pull_request:737|pull_request:839", + "pull_request:7410|pull_request:7919", + "pull_request:7638|pull_request:8303", + "pull_request:7977|pull_request:8642", + "pull_request:806|pull_request:971", + "pull_request:822|pull_request:91", + "pull_request:8478|pull_request:9408", + "pull_request:8498|pull_request:8642", + "pull_request:8591|pull_request:8755", + "pull_request:8631|pull_request:9473", + "pull_request:8775|pull_request:9266", + "pull_request:9266|pull_request:9553", + "pull_request:9591|pull_request:9592", + "pull_request:9699|pull_request:9832", + "pull_request:12004|pull_request:12562", + "pull_request:11081|pull_request:11682", + "pull_request:7550|pull_request:8992", + "pull_request:6868|pull_request:6946", + "pull_request:12551|pull_request:13039", + "pull_request:12970|pull_request:12988", + "pull_request:11835|pull_request:12069" + ], + "prepared_review_unit_hash": "5b942af5a34cb1fa0d2a9249f00546885824871df17589267925b65125f69f1f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 97002, + "estimated_input_tokens": 24251, + "estimated_eval_tokens": 48758 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These PRs are mostly unrelated maintenance, docs, test, and feature changes. 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Different artifacts and problems." + }, + { + "left": "pull_request:1215", + "right": "pull_request:2062", + "accept": false, + "reason": "DDIM generator handling and Paint by Example CPU offload are unrelated." + }, + { + "left": "pull_request:12714", + "right": "pull_request:13313", + "accept": false, + "reason": "One is a Flux2 LoRA NaN test fix; the other is LoRA loading/conversion for klein/kohya models. Not the same bug." + }, + { + "left": "pull_request:2892", + "right": "pull_request:4099", + "accept": false, + "reason": "One broadens upscaler input checks to allow embeds; the other fixes SDXL prompt-embed handling. Similar theme, but distinct bugs." + }, + { + "left": "pull_request:2915", + "right": "pull_request:4666", + "accept": false, + "reason": "A test-threshold tweak for textual inversion is not the same as enabling LoRA for SDXL ControlNet." + }, + { + "left": "pull_request:3968", + "right": "pull_request:4083", + "accept": false, + "reason": "Both affect SDXL, but one is a broader SDXL improvement/docs change and the other is a low-precision VAE fix. Not mergeable as one change." + }, + { + "left": "pull_request:4498", + "right": "pull_request:5750", + "accept": false, + "reason": "One adds a reference SDXL community pipeline; the other is a docs-only intro page. Different content and scope." + }, + { + "left": "pull_request:4666", + "right": "pull_request:5615", + "accept": false, + "reason": "One enables LoRA for SDXL ControlNet; the other reverts load_lora behavior in an adapter pipeline. Different fixes." + }, + { + "left": "pull_request:5015", + "right": "pull_request:6330", + "accept": false, + "reason": "A broken docs link fix and an SVD docs rendering fix are unrelated documentation changes." + }, + { + "left": "pull_request:5217", + "right": "pull_request:5852", + "accept": false, + "reason": "One fixes a PEFT import typo; the other fixes PR test workflow behavior. Different bugs." + }, + { + "left": "pull_request:7118", + "right": "pull_request:8571", + "accept": false, + "reason": "Both are docs/cleanup, but one is just IP-Adapter typo cleanup and the other is a broad style/errata pass. Not the same change." + }, + { + "left": "pull_request:7458", + "right": "pull_request:7893", + "accept": false, + "reason": "One skips dynamo tests on Python 3.12; the other upgrades Dockerfiles to Python 3.10. Different concerns." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9770", + "accept": false, + "reason": "One adds Flux Union ControlNet support; the other extends Flux ControlNet inpainting for Xlabs. Same subsystem, different concrete feature." + }, + { + "left": "pull_request:9506", + "right": "pull_request:9676", + "accept": false, + "reason": "One is a docs import/path fix; the other is a benchmark script import fix. Too different to treat as duplicates." + }, + { + "left": "pull_request:11353", + "right": "pull_request:11588", + "accept": false, + "reason": "Wan FLF2V support and Wan LoRA I2V support are distinct feature additions, not the same bug or change." + }, + { + "left": "pull_request:6573", + "right": "pull_request:7016", + "accept": false, + "reason": "Both are IP-Adapter related, but #6573 adds multi-IP-Adapter support while #7016 refactors embed preparation and image-encoder loading; related but not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 60, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10206", + "pull_request:10359", + "pull_request:10365", + "pull_request:10648", + "pull_request:10885", + "pull_request:10911", + "pull_request:11124", + "pull_request:11248", + "pull_request:11582", + "pull_request:11595", + "pull_request:11726", + "pull_request:11891", + "pull_request:12584", + "pull_request:13029", + "pull_request:13120", + "pull_request:13229", + "pull_request:1496", + "pull_request:2001", + "pull_request:2223", + "pull_request:2734", + "pull_request:2959", + "pull_request:3446", + "pull_request:3641", + "pull_request:3675", + "pull_request:3716", + "pull_request:4370", + "pull_request:4373", + "pull_request:4695", + "pull_request:4714", + "pull_request:483", + "pull_request:4862", + "pull_request:5275", + "pull_request:530", + "pull_request:5506", + "pull_request:5788", + "pull_request:6265", + "pull_request:6757", + "pull_request:6795", + "pull_request:6864", + "pull_request:689", + "pull_request:7113", + "pull_request:7246", + "pull_request:8510", + "pull_request:888", + "pull_request:9206", + "pull_request:9386", + "pull_request:9473", + "pull_request:978" + ], + "soft_pairs": [ + "pull_request:10359|pull_request:9206", + "pull_request:11582|pull_request:11726", + "pull_request:1496|pull_request:2734", + "pull_request:2001|pull_request:483", + "pull_request:2001|pull_request:978", + "pull_request:3716|pull_request:4695", + "pull_request:4370|pull_request:4862", + "pull_request:5275|pull_request:6795", + "pull_request:13029|pull_request:13120", + "pull_request:2223|pull_request:888", + "pull_request:2959|pull_request:3675", + "pull_request:3446|pull_request:4373", + "pull_request:3641|pull_request:4373", + "pull_request:4714|pull_request:5788", + "pull_request:530|pull_request:689", + "pull_request:5506|pull_request:7246", + "pull_request:6265|pull_request:6757", + "pull_request:6864|pull_request:7113", + "pull_request:8510|pull_request:9473", + "pull_request:10911|pull_request:11124", + "pull_request:12584|pull_request:13229", + "pull_request:10206|pull_request:11595", + "pull_request:10365|pull_request:9386", + "pull_request:10648|pull_request:10885", + "pull_request:11248|pull_request:11891" + ], + "prepared_review_unit_hash": "c930b2025f087d1ca51d5e30b4ad07f65136869cf58b642dc60ee9a1045cf372", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 98928, + "estimated_input_tokens": 24732, + "estimated_eval_tokens": 49720 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated PRs across LoRA loading, tests, docs, schedulers, pipelines, and training scripts. The soft-similarity pairs are mostly superficial (same subsystem or similar wording) rather than the same concrete bug/change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR fits this cluster: the items do not converge on one underlying fix or feature, so any single PR would be arbitrary.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good global duplicate target; the cluster is too heterogeneous and the soft matches do not indicate mergeable duplicates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10359", + "right": "pull_request:9206", + "accept": false, + "reason": "Both are test-fix PRs, but they target different test files and different failure modes, not the same bug." + }, + { + "left": "pull_request:11582", + "right": "pull_request:11726", + "accept": false, + "reason": "Both relate to Wan/VACE, but one adds the pipeline and the other expands LoRA conversion support; different code paths and changes." + }, + { + "left": "pull_request:1496", + "right": "pull_request:2734", + "accept": false, + "reason": "Both touch Habana docs, but one adds the doc and the other updates version/benchmark numbers; not the same change." + }, + { + "left": "pull_request:2001", + "right": "pull_request:483", + "accept": false, + "reason": "Both are typo/cleanup style changes, but they affect unrelated files and issues, so they are not the same PR-level fix." + }, + { + "left": "pull_request:2001", + "right": "pull_request:978", + "accept": false, + "reason": "Same broad typo-fix theme, but different examples and edits; no shared concrete change." + }, + { + "left": "pull_request:3716", + "right": "pull_request:4695", + "accept": false, + "reason": "Both are pipeline additions, but for different features and architectures; not mergeable as one PR." + }, + { + "left": "pull_request:4370", + "right": "pull_request:4862", + "accept": false, + "reason": "Both concern Stable Diffusion/SDXL naming or controlnet behavior, but they fix unrelated code paths." + }, + { + "left": "pull_request:5275", + "right": "pull_request:6795", + "accept": false, + "reason": "Both are SDXL examples, but one adds an example and the other changes micro-conditioning in training; distinct changes." + }, + { + "left": "pull_request:13029", + "right": "pull_request:13120", + "accept": false, + "reason": "Both are modular docs/tests related, but one rewrites quickstart docs and the other adds AutoModel load-id tests; unrelated work." + }, + { + "left": "pull_request:2223", + "right": "pull_request:888", + "accept": false, + "reason": "Both add pipelines and touch import lists, but they implement different pipelines with different behaviors." + }, + { + "left": "pull_request:2959", + "right": "pull_request:3675", + "accept": false, + "reason": "Both are test-only PRs, but they address different models and test adjustments; no same underlying bug." + }, + { + "left": "pull_request:3446", + "right": "pull_request:4373", + "accept": false, + "reason": "One fixes a warning message, the other changes SDXL resize/default size logic; unrelated code paths." + }, + { + "left": "pull_request:3641", + "right": "pull_request:4373", + "accept": false, + "reason": "Inpainting latent handling vs. SDXL resize semantics are different bugs in different pipelines." + }, + { + "left": "pull_request:4714", + "right": "pull_request:5788", + "accept": false, + "reason": "Both are small robustness fixes, but one is import/dummy-object handling and the other is LCM timestep validation; unrelated." + }, + { + "left": "pull_request:530", + "right": "pull_request:689", + "accept": false, + "reason": "Both touch tests/performance, but one edits img2img test assertions and the other changes attention implementation performance; not the same fix." + }, + { + "left": "pull_request:5506", + "right": "pull_request:7246", + "accept": false, + "reason": "Both mention device/backend behavior in tests, but they target different code and different failure modes." + }, + { + "left": "pull_request:6265", + "right": "pull_request:6757", + "accept": false, + "reason": "Both move or adjust sigma/exports in SD/SDXL k-diffusion-related code, but they are separate refactors with different concrete edits." + }, + { + "left": "pull_request:6864", + "right": "pull_request:7113", + "accept": false, + "reason": "Both mention torch.compile/CI behavior, but one is docs for PEFT and the other is Docker CI Slack notification; unrelated." + }, + { + "left": "pull_request:8510", + "right": "pull_request:9473", + "accept": false, + "reason": "Both adjust dreambooth training scripts, but one fixes LR scheduler math and the other fixes Flux prodigy LR handling; different problems." + }, + { + "left": "pull_request:10911", + "right": "pull_request:11124", + "accept": false, + "reason": "Both are CogView4/Lumina2 test-related, but they target different models and different test setups." + }, + { + "left": "pull_request:12584", + "right": "pull_request:13229", + "accept": false, + "reason": "Both involve Sana video conversion/pipeline files, but one adds the initial SANA-Video support and the other adds LTX2 VAE integration; not the same change." + }, + { + "left": "pull_request:10206", + "right": "pull_request:11595", + "accept": false, + "reason": "Both modify lora_pipeline.py, but they address different LoRA load/unload behaviors and should not be merged as one bug fix." + }, + { + "left": "pull_request:10365", + "right": "pull_request:9386", + "accept": false, + "reason": "Both are feature PRs tied to specific pipelines, but one adds torch_xla support and the other adds PAG inpaint support; unrelated." + }, + { + "left": "pull_request:10648", + "right": "pull_request:10885", + "accept": false, + "reason": "Docs-only scheduler work for different topics: DDPM sigmoid docs vs. CogVideoX scheduler docs." + }, + { + "left": "pull_request:11248", + "right": "pull_request:11891", + "accept": false, + "reason": "Both are README/doc fixes, but one is Flux controlnet example syntax and the other is a Chroma doc typo; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 61, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11303", + "pull_request:11473", + "pull_request:11755", + "pull_request:11835", + "pull_request:11891", + "pull_request:12018", + "pull_request:12193", + "pull_request:12360", + "pull_request:12464", + "pull_request:2004", + "pull_request:2029", + "pull_request:2339", + "pull_request:2536", + "pull_request:2559", + "pull_request:2976", + "pull_request:3128", + "pull_request:3214", + "pull_request:3226", + "pull_request:3471", + "pull_request:3506", + "pull_request:3642", + "pull_request:4211", + "pull_request:4248", + "pull_request:4457", + "pull_request:4595", + "pull_request:4707", + "pull_request:4797", + "pull_request:4934", + "pull_request:5015", + "pull_request:5041", + "pull_request:5707", + "pull_request:5807", + "pull_request:5844", + "pull_request:6002", + "pull_request:6216", + "pull_request:6279", + "pull_request:6311", + "pull_request:6389", + "pull_request:652", + "pull_request:6680", + "pull_request:6848", + "pull_request:6962", + "pull_request:7627", + "pull_request:7747", + "pull_request:7910", + "pull_request:8272", + "pull_request:9100" + ], + "soft_pairs": [ + "pull_request:11303|pull_request:11891", + "pull_request:11473|pull_request:12018", + "pull_request:11755|pull_request:11835", + "pull_request:11891|pull_request:12193", + "pull_request:12360|pull_request:12464", + "pull_request:2004|pull_request:2029", + "pull_request:2339|pull_request:3471", + "pull_request:2536|pull_request:652", + "pull_request:2559|pull_request:3226", + "pull_request:2976|pull_request:5015", + "pull_request:3128|pull_request:3214", + "pull_request:3506|pull_request:4248", + "pull_request:3642|pull_request:4457", + "pull_request:4211|pull_request:4797", + "pull_request:4595|pull_request:6311", + "pull_request:4707|pull_request:4934", + "pull_request:5041|pull_request:5707", + "pull_request:5807|pull_request:7627", + "pull_request:5844|pull_request:7910", + "pull_request:6002|pull_request:6389", + "pull_request:6216|pull_request:7747", + "pull_request:6279|pull_request:6848", + "pull_request:6680|pull_request:6962", + "pull_request:8272|pull_request:9100" + ], + "prepared_review_unit_hash": "46732c22b8e160ea534312e73b92e5f2b96433dc89f8acfe5855e5a26399517f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 91219, + "estimated_input_tokens": 22805, + "estimated_eval_tokens": 45866 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab-bag of unrelated small docs, test, and bugfix PRs that only look similar at a very high level (short titles, typo fixes, and minor maintenance). I do not see any true duplicate pair among the soft edges.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "If a representative PR is needed, #5707 is the best anchor: it is a concrete code-path fix with explicit behavior changes and broad test coverage, unlike most others here which are isolated docs/typo/test cleanups.", + "best_issue_reason": null, + "best_pr_reason": "#5707 is the strongest overall representative because it fixes a real runtime behavior issue across multiple pipelines and includes tests, making it more substantive than the other PRs in the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11303", + "right": "pull_request:11891", + "accept": false, + "reason": "Different docs typos in different pipeline pages; same generic maintenance category, but not the same change or bug." + }, + { + "left": "pull_request:11473", + "right": "pull_request:12018", + "accept": false, + "reason": "Both are quantization docs edits, but they fix different wording/link issues in different sections and do not share one underlying problem." + }, + { + "left": "pull_request:11755", + "right": "pull_request:11835", + "accept": false, + "reason": "Unrelated test fixes: one is CPU offload for LTX upsample, the other is float16 CUDA test cleanup; different code paths and failure modes." + }, + { + "left": "pull_request:11891", + "right": "pull_request:12193", + "accept": false, + "reason": "One fixes a Chroma docs typo, the other updates a DreamBooth README filename; unrelated edits." + }, + { + "left": "pull_request:12360", + "right": "pull_request:12464", + "accept": false, + "reason": "Both are docs PRs, but one fixes Chroma pipeline docs and the other updates Marigold docs/syntax; not the same underlying issue." + }, + { + "left": "pull_request:2004", + "right": "pull_request:2029", + "accept": false, + "reason": "DreamBooth README typo cleanup is unrelated to the code validation/scheduler fixes in the img2img/upscale pipelines." + }, + { + "left": "pull_request:2339", + "right": "pull_request:3471", + "accept": false, + "reason": "Both touch DreamBooth docs, but one is checkpointing/tests documentation and the other is just a torch.compile note; different content and purpose." + }, + { + "left": "pull_request:2536", + "right": "pull_request:652", + "accept": false, + "reason": "Gradient checkpointing for VAE is a real model capability change; the other is only a test tolerance tweak." + }, + { + "left": "pull_request:2559", + "right": "pull_request:3226", + "accept": false, + "reason": "Both concern ControlNet docs, but one fixes a link format and the other adds v1.1 content; separate changes." + }, + { + "left": "pull_request:2976", + "right": "pull_request:5015", + "accept": false, + "reason": "Both are navigation/link docs fixes, but they target different pages and broken links; not one duplicate fix." + }, + { + "left": "pull_request:3128", + "right": "pull_request:3214", + "accept": false, + "reason": "One fixes img2img timestep selection across several pipelines; the other fixes attention reshaping math. Different bugs, different code paths." + }, + { + "left": "pull_request:3506", + "right": "pull_request:4248", + "accept": false, + "reason": "Checkpoint resumption bug in ControlNet training is unrelated to tracker-config cleanup in DreamBooth scripts." + }, + { + "left": "pull_request:3642", + "right": "pull_request:4457", + "accept": false, + "reason": "Both involve the community TensorRT inpaint example, but one adds the pipeline and the other makes minor example fixes; not the same concrete bug or change." + }, + { + "left": "pull_request:4211", + "right": "pull_request:4797", + "accept": false, + "reason": "SDXL docstring/example fix is unrelated to LoRA block-mapping logic in loaders.py." + }, + { + "left": "pull_request:4595", + "right": "pull_request:6311", + "accept": false, + "reason": "A WIP code-conversion PR and a later docs/tutorial PR are unrelated." + }, + { + "left": "pull_request:4707", + "right": "pull_request:4934", + "accept": false, + "reason": "Custom diffusion README/training-script fixes and the T2I-Adapter training example are separate example additions, not one duplicate change." + }, + { + "left": "pull_request:5041", + "right": "pull_request:5707", + "accept": false, + "reason": "One adds SDXL refiner-only tests; the other fixes LCM behavior and adds tests across many pipelines. Different scopes and failure modes." + }, + { + "left": "pull_request:5807", + "right": "pull_request:7627", + "accept": false, + "reason": "LPW SDXL prompt-duplication logic and Playground img2img latent scaling are unrelated pipeline bugs." + }, + { + "left": "pull_request:5844", + "right": "pull_request:7910", + "accept": false, + "reason": "Different docs additions: one adds a Japanese SDXL reference example, the other adds missing image processor docs." + }, + { + "left": "pull_request:6002", + "right": "pull_request:6389", + "accept": false, + "reason": "Same Stable Video Diffusion file, but different bugs: guidance-scale logic versus noise_aug_strength typing." + }, + { + "left": "pull_request:6216", + "right": "pull_request:7747", + "accept": false, + "reason": "A PEFT-version-specific LoRA test fix is unrelated to a VAE tiling test fix." + }, + { + "left": "pull_request:6279", + "right": "pull_request:6848", + "accept": false, + "reason": "Both are LCM distillation scripts, but they fix different defects: distributed guidance embeddings vs target U-Net initialization." + }, + { + "left": "pull_request:6680", + "right": "pull_request:6962", + "accept": false, + "reason": "DPM slow-test adjustments and PixArt slow-test fixes are separate test-maintenance changes." + }, + { + "left": "pull_request:8272", + "right": "pull_request:9100", + "accept": false, + "reason": "A broad grammar cleanup across scheduler error messages is unrelated to a single typo fix in a text-to-image LoRA script." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 62, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10318", + "pull_request:10968", + "pull_request:11174", + "pull_request:1136", + "pull_request:11743", + "pull_request:11814", + "pull_request:11913", + "pull_request:12005", + "pull_request:1215", + "pull_request:12611", + "pull_request:12723", + "pull_request:13208", + "pull_request:1788", + "pull_request:2588", + "pull_request:2693", + "pull_request:2836", + "pull_request:3691", + "pull_request:3912", + "pull_request:4099", + "pull_request:4395", + "pull_request:4666", + "pull_request:4749", + "pull_request:4859", + "pull_request:5090", + "pull_request:5407", + "pull_request:5928", + "pull_request:6119", + "pull_request:6215", + "pull_request:6509", + "pull_request:6564", + "pull_request:6645", + "pull_request:6787", + "pull_request:6898", + "pull_request:6909", + "pull_request:7247", + "pull_request:7353", + "pull_request:7738", + "pull_request:7764", + "pull_request:7932", + "pull_request:8660", + "pull_request:8810", + "pull_request:8819", + "pull_request:8864", + "pull_request:9070", + "pull_request:9206", + "pull_request:9411", + "pull_request:9473", + "pull_request:9601" + ], + "soft_pairs": [ + "pull_request:8810|pull_request:9070", + "pull_request:8864|pull_request:9070", + "pull_request:9473|pull_request:9601", + "pull_request:6898|pull_request:6909", + "pull_request:12723|pull_request:13208", + "pull_request:10968|pull_request:11174", + "pull_request:11913|pull_request:12611", + "pull_request:5928|pull_request:6509", + "pull_request:7738|pull_request:9411", + "pull_request:10318|pull_request:11743", + "pull_request:1136|pull_request:2836", + "pull_request:11814|pull_request:12005", + "pull_request:1215|pull_request:1788", + "pull_request:2588|pull_request:3691", + "pull_request:2588|pull_request:3912", + "pull_request:2693|pull_request:4859", + "pull_request:4099|pull_request:4395", + "pull_request:4666|pull_request:4749", + "pull_request:5090|pull_request:6119", + "pull_request:5407|pull_request:6564", + "pull_request:6215|pull_request:7247", + "pull_request:6645|pull_request:6787", + "pull_request:7353|pull_request:8660", + "pull_request:7764|pull_request:8819", + "pull_request:7932|pull_request:9206" + ], + "prepared_review_unit_hash": "c9733e34c0ab650e17a6d59a774d732fc75b62ae22227ada8039f50e0c86e51f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 102117, + "estimated_input_tokens": 25530, + "estimated_eval_tokens": 51316 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a heterogeneous mix of unrelated PRs across LTX, Wan, Helios, Flux, AnimateDiff, LoRA, and assorted docs/tests. None of the soft-edge pairs look like the same underlying bug or change, so I would not collapse any of them as duplicates.", + "confidence": 0.34, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10968 is the best representative only in the weak sense that it is a broad merged feature PR with clear release scope, but the cluster is too mixed for any true canonical duplicate choice.", + "best_issue_reason": null, + "best_pr_reason": "PR 10968 is the strongest single representative of the cluster because it is a substantial merged feature/release PR and sits near one of the few related LTX edges, but it should not be treated as a duplicate anchor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8810", + "right": "pull_request:9070", + "accept": false, + "reason": "Different features in different model families: SD ControlNet PAG img2img vs a Flux img2img pipeline." + }, + { + "left": "pull_request:8864", + "right": "pull_request:9070", + "accept": false, + "reason": "Same broad img2img theme, but different code paths and model families; not the same change." + }, + { + "left": "pull_request:9473", + "right": "pull_request:9601", + "accept": false, + "reason": "Unrelated fixes: Flux DreamBooth LoRA LR handling vs SD3 ControlNet VAE dtype/upcasting." + }, + { + "left": "pull_request:6898", + "right": "pull_request:6909", + "accept": false, + "reason": "Both standardize model cards, but they touch different training scripts and distinct templates; not one duplicate change." + }, + { + "left": "pull_request:12723", + "right": "pull_request:13208", + "accept": false, + "reason": "Different model launches and code paths: LongSANA vs Helios pipelines." + }, + { + "left": "pull_request:10968", + "right": "pull_request:11174", + "accept": false, + "reason": "Related LTX area, but one is a 0.9.5 release integration and the other is a text-only refactor; not the same bug/change." + }, + { + "left": "pull_request:11913", + "right": "pull_request:12611", + "accept": false, + "reason": "Both are Wan-related modular work, but they are distinct generations/features and not mergeable as one concrete fix." + }, + { + "left": "pull_request:5928", + "right": "pull_request:6509", + "accept": false, + "reason": "Both involve AnimateDiff community docs/pipelines, but they implement different community pipelines." + }, + { + "left": "pull_request:7738", + "right": "pull_request:9411", + "accept": false, + "reason": "Both touch LoRA device movement, but one fixes a test/device-placement issue and the other fixes DoRA adapter movement; different bugs." + }, + { + "left": "pull_request:10318", + "right": "pull_request:11743", + "accept": false, + "reason": "Flux LoRA integration tests are unrelated to adding a shortened Flux training script." + }, + { + "left": "pull_request:1136", + "right": "pull_request:2836", + "accept": false, + "reason": "Both are docs link fixes, but for different pages and different broken links." + }, + { + "left": "pull_request:11814", + "right": "pull_request:12005", + "accept": false, + "reason": "Different core bugs: gradient-checkpointing kwargs passthrough vs sharded checkpoint local-files-only handling." + }, + { + "left": "pull_request:1215", + "right": "pull_request:1788", + "accept": false, + "reason": "Same file, but different DDIM scheduler bugs with different trigger conditions and fixes." + }, + { + "left": "pull_request:2588", + "right": "pull_request:3691", + "accept": false, + "reason": "Training example support for text-encoder LoRA is not the same as switching the loader to LoRAAttnProcessor2_0." + }, + { + "left": "pull_request:2588", + "right": "pull_request:3912", + "accept": false, + "reason": "Different scope: LoRA training example support vs a separate DreamBooth LoRA feature request." + }, + { + "left": "pull_request:2693", + "right": "pull_request:4859", + "accept": false, + "reason": "Unrelated doc link fix vs SDXL inpaint fast-test adjustment." + }, + { + "left": "pull_request:4099", + "right": "pull_request:4395", + "accept": false, + "reason": "Different SDXL issues: prompt-embed handling vs DreamBooth class-prompt pre-encoding." + }, + { + "left": "pull_request:4666", + "right": "pull_request:4749", + "accept": false, + "reason": "SDXL ControlNet LoRA support and SDXL DreamBooth LoRA checkpointing are separate code paths and fixes." + }, + { + "left": "pull_request:5090", + "right": "pull_request:6119", + "accept": false, + "reason": "Different problems in different areas: T2I Adapter accumulation vs fp16 gradient scaling in LoRA training." + }, + { + "left": "pull_request:5407", + "right": "pull_request:6564", + "accept": false, + "reason": "Mixed-precision training example fix is unrelated to IP-Adapter path construction." + }, + { + "left": "pull_request:6215", + "right": "pull_request:7247", + "accept": false, + "reason": "PixArt test initialization and single-file config checking are unrelated changes." + }, + { + "left": "pull_request:6645", + "right": "pull_request:6787", + "accept": false, + "reason": "A community README cleanup is not the same as fixing Marigold depth input normalization." + }, + { + "left": "pull_request:7353", + "right": "pull_request:8660", + "accept": false, + "reason": "Different pipeline updates for different models (SDXL ControlNet img2img vs SD3 ControlNet)." + }, + { + "left": "pull_request:7764", + "right": "pull_request:8819", + "accept": false, + "reason": "AnimateDiff conversion-script safetensor loading is different from adding single-file loading support." + }, + { + "left": "pull_request:7932", + "right": "pull_request:9206", + "accept": false, + "reason": "LoRA test expectation updates and xformers test fixes are unrelated test-only changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 63, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11522", + "pull_request:12387", + "pull_request:12395", + "pull_request:13209", + "pull_request:13255", + "pull_request:13280", + "pull_request:2037", + "pull_request:2385", + "pull_request:2397", + "pull_request:3245", + "pull_request:325", + "pull_request:3321", + "pull_request:333", + "pull_request:335", + "pull_request:3471", + "pull_request:3589", + "pull_request:365", + "pull_request:3859", + "pull_request:3866", + "pull_request:3952", + "pull_request:3968", + "pull_request:4022", + "pull_request:4058", + "pull_request:4078", + "pull_request:4196", + "pull_request:4223", + "pull_request:4240", + "pull_request:4262", + "pull_request:4272", + "pull_request:4301", + "pull_request:4343", + "pull_request:4397", + "pull_request:4408", + "pull_request:4717", + "pull_request:5057", + "pull_request:5298", + "pull_request:5386", + "pull_request:5671", + "pull_request:5833", + "pull_request:5834", + "pull_request:6078", + "pull_request:6081", + "pull_request:6144", + "pull_request:6236", + "pull_request:6633", + "pull_request:7068", + "pull_request:7451" + ], + "soft_pairs": [ + "pull_request:2385|pull_request:2397", + "pull_request:11522|pull_request:12395", + "pull_request:4408|pull_request:5057", + "pull_request:12387|pull_request:13280", + "pull_request:3859|pull_request:3968", + "pull_request:13209|pull_request:13255", + "pull_request:2037|pull_request:3589", + "pull_request:3245|pull_request:4022", + "pull_request:325|pull_request:365", + "pull_request:3321|pull_request:4301", + "pull_request:333|pull_request:335", + "pull_request:3471|pull_request:5298", + "pull_request:3866|pull_request:4343", + "pull_request:3952|pull_request:5671", + "pull_request:4058|pull_request:4196", + "pull_request:4078|pull_request:5833", + "pull_request:4078|pull_request:5834", + "pull_request:4223|pull_request:4262", + "pull_request:4240|pull_request:4717", + "pull_request:4272|pull_request:5834", + "pull_request:4397|pull_request:6236", + "pull_request:5386|pull_request:7068", + "pull_request:5386|pull_request:7451", + "pull_request:6078|pull_request:6081", + "pull_request:6144|pull_request:6633" + ], + "prepared_review_unit_hash": "04e6f4fbdffae45ebb120621ebde3463324c0ffc12e28757a747675e60211e6f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 98879, + "estimated_input_tokens": 24720, + "estimated_eval_tokens": 49696 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is very heterogeneous, but there is one plausible duplicate-style pair around Euler-discrete sigma handling in SDXL. Most other soft pairs are same subsystem/file but different fixes, so they should stay separate.", + "confidence": 0.58, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 6078 is the cleanest canonical representative among the near-duplicate candidates: it directly addresses the Euler-discrete sigma handling bug, and 6081 looks like an alternate pipeline-side attempt at the same fix.", + "best_issue_reason": null, + "best_pr_reason": "PR 6078 is the strongest representative PR here because it is a focused, merged fix for a concrete runtime issue, unlike the many broader docs/maintenance changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2385", + "right": "pull_request:2397", + "accept": false, + "reason": "Both touch Pix2Pix Zero, but one adds a helper and the other adds DDIM inversion/docs; different changes and not the same bug." + }, + { + "left": "pull_request:11522", + "right": "pull_request:12395", + "accept": false, + "reason": "Unrelated fixes: AudioLDM2/transformers compatibility vs test workflow dependency installation." + }, + { + "left": "pull_request:4408", + "right": "pull_request:5057", + "accept": false, + "reason": "One is SDXL single-file loading support, the other adds clip-skip support; different code paths and bugs." + }, + { + "left": "pull_request:12387", + "right": "pull_request:13280", + "accept": false, + "reason": "Both are flash-attention related, but one adds kernels support and the other adds FlashAttention-4 support; different concrete features." + }, + { + "left": "pull_request:3859", + "right": "pull_request:3968", + "accept": false, + "reason": "Both are SDXL-wide updates, but one adds new pipelines and the other is a larger docs/core cleanup; not the same underlying change." + }, + { + "left": "pull_request:13209", + "right": "pull_request:13255", + "accept": false, + "reason": "Same LoRA conversion file and ZImage theme, but one normalizes key names while the other changes missing-alpha handling; related, but not the same bug." + }, + { + "left": "pull_request:2037", + "right": "pull_request:3589", + "accept": false, + "reason": "Both edit community README content, but they add different community pipeline references and examples." + }, + { + "left": "pull_request:3245", + "right": "pull_request:4022", + "accept": false, + "reason": "These are separate translation updates for different languages, not duplicates." + }, + { + "left": "pull_request:325", + "right": "pull_request:365", + "accept": false, + "reason": "Both are type-hint cleanups, but they affect different classes/modules and are unrelated changes." + }, + { + "left": "pull_request:3321", + "right": "pull_request:4301", + "accept": false, + "reason": "Both are docs updates, but for different topics: controlling generation vs Kandinsky docs." + }, + { + "left": "pull_request:333", + "right": "pull_request:335", + "accept": false, + "reason": "Both add type hints, but one targets a pipeline and the other a scheduler; different artifacts and fixes." + }, + { + "left": "pull_request:3471", + "right": "pull_request:5298", + "accept": false, + "reason": "DreamBooth torch.compile docs note vs LoRA convolution runtime fix; same broad area, different changes." + }, + { + "left": "pull_request:3866", + "right": "pull_request:4343", + "accept": false, + "reason": "Both add a LoRA rank argument, but to different training scripts and model setups; not the same concrete PR." + }, + { + "left": "pull_request:3952", + "right": "pull_request:5671", + "accept": false, + "reason": "A packaging/version-pinning test PR and a dependency-check workflow tweak are unrelated." + }, + { + "left": "pull_request:4058", + "right": "pull_request:4196", + "accept": false, + "reason": "Both are SDXL docs, but one corrects an image section while the other expands micro-conditioning docs across multiple pipelines." + }, + { + "left": "pull_request:4078", + "right": "pull_request:5833", + "accept": false, + "reason": "Single-file accelerate enforcement vs ControlNet import fixes in docs/loading; different issues." + }, + { + "left": "pull_request:4078", + "right": "pull_request:5834", + "accept": false, + "reason": "Single-file accelerate enforcement vs a ControlNet import path fix; unrelated." + }, + { + "left": "pull_request:4223", + "right": "pull_request:4262", + "accept": false, + "reason": "Both are training-script fixes, but for different workflows (ControlNet SDXL vs DreamBooth LoRA SDXL)." + }, + { + "left": "pull_request:4240", + "right": "pull_request:4717", + "accept": false, + "reason": "Both are docs fixes, but for different pages and different missing-doc issues." + }, + { + "left": "pull_request:4272", + "right": "pull_request:5834", + "accept": false, + "reason": "Optional import cleanup across pipeline folders vs a specific single-file loading import fix; not the same bug." + }, + { + "left": "pull_request:4397", + "right": "pull_request:6236", + "accept": false, + "reason": "An SDXL docstring correction and a ControlNet inpainting docs example fix are unrelated." + }, + { + "left": "pull_request:5386", + "right": "pull_request:7068", + "accept": false, + "reason": "Both are typo-fix sweeps, but they touch different sets of files and are separate maintenance PRs." + }, + { + "left": "pull_request:5386", + "right": "pull_request:7451", + "accept": false, + "reason": "Another typo-fix sweep in different files and docs; same general maintenance class, not a duplicate." + }, + { + "left": "pull_request:6078", + "right": "pull_request:6081", + "accept": true, + "reason": "Both target the same Euler-discrete sigma/torch.compile problem in SDXL, with one fixing the scheduler side and the other moving the sigma adjustment into the pipeline; they look like alternative implementations of the same change." + }, + { + "left": "pull_request:6144", + "right": "pull_request:6633", + "accept": false, + "reason": "LoRA checkpoint-saving fix vs a checkpoint-YAML loading fix; different code paths and problems." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the soft-edge calls are generally conservative. The one accepted near-duplicate pair (6078/6081) is plausibly the same Euler-discrete sigma/torch.compile bugfix, while the rest are reasonably distinguished as different fixes or docs/maintenance changes." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 64, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10378", + "pull_request:10510", + "pull_request:10532", + "pull_request:10595", + "pull_request:10717", + "pull_request:10728", + "pull_request:10808", + "pull_request:10951", + "pull_request:11188", + "pull_request:11704", + "pull_request:11896", + "pull_request:12074", + "pull_request:12117", + "pull_request:12170", + "pull_request:12249", + "pull_request:1226", + "pull_request:12416", + "pull_request:12439", + "pull_request:12562", + "pull_request:12634", + "pull_request:13120", + "pull_request:13134", + "pull_request:13229", + "pull_request:13280", + "pull_request:13321", + "pull_request:13410", + "pull_request:1570", + "pull_request:1622", + "pull_request:2009", + "pull_request:2464", + "pull_request:2489", + "pull_request:2921", + "pull_request:3506", + "pull_request:3806", + "pull_request:3852", + "pull_request:3921", + "pull_request:4034", + "pull_request:4099", + "pull_request:4370", + "pull_request:5127", + "pull_request:5823", + "pull_request:5938", + "pull_request:6303", + "pull_request:7227", + "pull_request:9168", + "pull_request:9985", + "pull_request:9988" + ], + "soft_pairs": [ + "pull_request:7227|pull_request:9168", + "pull_request:12439|pull_request:13280", + "pull_request:10717|pull_request:10728", + "pull_request:13120|pull_request:13410", + "pull_request:2464|pull_request:2921", + "pull_request:3506|pull_request:3806", + "pull_request:4034|pull_request:5823", + "pull_request:10951|pull_request:11188", + "pull_request:9985|pull_request:9988", + "pull_request:12074|pull_request:12562", + "pull_request:10510|pull_request:10595", + "pull_request:1226|pull_request:2009", + "pull_request:4099|pull_request:4370", + "pull_request:12117|pull_request:12249", + "pull_request:12416|pull_request:12439", + "pull_request:5127|pull_request:5938", + "pull_request:10532|pull_request:10808", + "pull_request:10378|pull_request:11704", + "pull_request:13134|pull_request:13321", + "pull_request:1570|pull_request:1622", + "pull_request:2489|pull_request:3852", + "pull_request:3921|pull_request:6303", + "pull_request:11896|pull_request:12170", + "pull_request:12634|pull_request:13229" + ], + "prepared_review_unit_hash": "97120932c1ea37dea9ef865ce08ac8309f3884e952b7dc682d232d394090d42e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 101872, + "estimated_input_tokens": 25468, + "estimated_eval_tokens": 51192 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a heterogeneous set of unrelated pull requests; the soft pairs look like similarity false-positives rather than true duplicates. Only a couple are loosely adjacent by topic, but they do not fix the same concrete bug/change.", + "confidence": 0.34, + "canonical_issue_reason": null, + "canonical_pr_reason": "No issue artifacts are present. As a PR representative, #9985 is the broadest merged core feature change in the set and the most plausible anchor for the Flux-related subset of candidates.", + "best_issue_reason": null, + "best_pr_reason": "#9985 is the strongest overall representative because it is a large, merged, widely-scoped PR with multiple related Flux files touched; it is the closest thing to a central change among an otherwise mixed collection.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7227", + "right": "pull_request:9168", + "accept": false, + "reason": "Both touch DoRA/LoRA training flags, but one changes argument parsing and the other changes LoraConfig wiring; related area, different concrete change." + }, + { + "left": "pull_request:12439", + "right": "pull_request:13280", + "accept": false, + "reason": "Both are attention-backend additions, but they target different backends (kernels FA2/sage vs FA4) and are separate features." + }, + { + "left": "pull_request:10717", + "right": "pull_request:10728", + "accept": false, + "reason": "One adds IP-Adapter support to Flux img2img; the other fixes quantized Flux/IP-Adapter handling. Same subsystem, not the same bug or change." + }, + { + "left": "pull_request:13120", + "right": "pull_request:13410", + "accept": false, + "reason": "A modular-pipeline test addition vs an AI docs refactor; no shared underlying code-path problem." + }, + { + "left": "pull_request:2464", + "right": "pull_request:2921", + "accept": false, + "reason": "Training-script xformers cleanup and CPU offload hook indentation are unrelated changes." + }, + { + "left": "pull_request:3506", + "right": "pull_request:3806", + "accept": false, + "reason": "Checkpoint step scaling fix vs README inference note; documentation is not the same as the runtime bug." + }, + { + "left": "pull_request:4034", + "right": "pull_request:5823", + "accept": false, + "reason": "Both are LoRA utilities, but one adds unload support and the other adds adapter_names to fuse_lora; distinct behavior." + }, + { + "left": "pull_request:10951", + "right": "pull_request:11188", + "accept": false, + "reason": "Both update community pipeline docs/examples, but they are different pipelines and different additions." + }, + { + "left": "pull_request:9985", + "right": "pull_request:9988", + "accept": false, + "reason": "#9988 is a narrower Flux Redux follow-up, not the same full Flux Fill/Canny/Depth/Redux feature set as #9985." + }, + { + "left": "pull_request:12074", + "right": "pull_request:12562", + "accept": false, + "reason": "Wan LoRA loading support and a context-parallel crash fix are unrelated problems." + }, + { + "left": "pull_request:10510", + "right": "pull_request:10595", + "accept": false, + "reason": "DC-AE tiling support and a bf16 attention dtype fix are different code paths and different bugs." + }, + { + "left": "pull_request:1226", + "right": "pull_request:2009", + "accept": false, + "reason": "Padding/truncation behavior and textual inversion loader plumbing are unrelated." + }, + { + "left": "pull_request:4099", + "right": "pull_request:4370", + "accept": false, + "reason": "SDXL prompt-embed logic vs dummy import renaming; no shared defect." + }, + { + "left": "pull_request:12117", + "right": "pull_request:12249", + "accept": false, + "reason": "QwenImage img2img/inpaint pipeline addition and Step1X-Edit pipeline addition are entirely different features." + }, + { + "left": "pull_request:12416", + "right": "pull_request:12439", + "accept": false, + "reason": "QwenImage Edit Plus modular support and attention-backend support are unrelated." + }, + { + "left": "pull_request:5127", + "right": "pull_request:5938", + "accept": false, + "reason": "Multi-adapter SDXL adapter support and ControlNet LoRA support are separate feature areas." + }, + { + "left": "pull_request:10532", + "right": "pull_request:10808", + "accept": false, + "reason": "LoRA PEFT parsing fixes, but one handles state-dict conversion while the other changes config key handling; not the same concrete bug." + }, + { + "left": "pull_request:10378", + "right": "pull_request:11704", + "accept": false, + "reason": "Dreambooth LoRA training support and Wan AccVideo LoRA conversion are unrelated." + }, + { + "left": "pull_request:13134", + "right": "pull_request:13321", + "accept": false, + "reason": "Typing annotation cleanup and guarded torchvision import are unrelated fixes." + }, + { + "left": "pull_request:1570", + "right": "pull_request:1622", + "accept": false, + "reason": "Both modify the same community example, but one is a diffusers API compatibility fix and the other is a Pillow compatibility adjustment; not the same issue." + }, + { + "left": "pull_request:2489", + "right": "pull_request:3852", + "accept": false, + "reason": "CoreML docs addition vs a contributor note in another doc; no shared bug/change." + }, + { + "left": "pull_request:3921", + "right": "pull_request:6303", + "accept": false, + "reason": "Blended text inpainting WIP and ADD training scripts are unrelated." + }, + { + "left": "pull_request:11896", + "right": "pull_request:12170", + "accept": false, + "reason": "LoRA offload-hook disabling and Qwen LoRA conversion support are different subsystems and different goals." + }, + { + "left": "pull_request:12634", + "right": "pull_request:13229", + "accept": false, + "reason": "SANA-Video I2V pipeline support and LTX VAE support in Sana-Video are separate features, not one underlying fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 65, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10136", + "pull_request:10494", + "pull_request:11243", + "pull_request:11384", + "pull_request:11534", + "pull_request:11588", + "pull_request:11684", + "pull_request:11802", + "pull_request:11843", + "pull_request:11869", + "pull_request:11997", + "pull_request:12425", + "pull_request:12714", + "pull_request:13209", + "pull_request:13255", + "pull_request:13275", + "pull_request:13330", + "pull_request:1623", + "pull_request:1937", + "pull_request:2092", + "pull_request:2994", + "pull_request:3128", + "pull_request:3921", + "pull_request:4481", + "pull_request:4572", + "pull_request:5015", + "pull_request:5090", + "pull_request:5186", + "pull_request:6144", + "pull_request:6215", + "pull_request:6229", + "pull_request:6578", + "pull_request:6961", + "pull_request:7062", + "pull_request:7113", + "pull_request:7116", + "pull_request:7353", + "pull_request:748", + "pull_request:7825", + "pull_request:7938", + "pull_request:826", + "pull_request:8684", + "pull_request:8825", + "pull_request:9257", + "pull_request:9400", + "pull_request:9676", + "pull_request:9687" + ], + "soft_pairs": [ + "pull_request:10494|pull_request:9257", + "pull_request:11243|pull_request:11843", + "pull_request:12425|pull_request:13209", + "pull_request:13275|pull_request:13330", + "pull_request:1623|pull_request:2092", + "pull_request:3921|pull_request:4481", + "pull_request:5015|pull_request:6578", + "pull_request:5090|pull_request:7062", + "pull_request:5186|pull_request:7113", + "pull_request:6144|pull_request:7353", + "pull_request:6215|pull_request:7825", + "pull_request:6229|pull_request:6961", + "pull_request:7116|pull_request:7938", + "pull_request:748|pull_request:826", + "pull_request:7825|pull_request:9400", + "pull_request:8684|pull_request:9676", + "pull_request:8825|pull_request:9687", + "pull_request:11588|pull_request:11997", + "pull_request:10136|pull_request:11534", + "pull_request:11684|pull_request:11869", + "pull_request:10494|pull_request:11843", + "pull_request:11384|pull_request:11802", + "pull_request:12714|pull_request:13255", + "pull_request:1937|pull_request:3128", + "pull_request:2994|pull_request:4572" + ], + "prepared_review_unit_hash": "988b89b1e7fd234098767d64d5d945745bdec764d1a37073423c147e8b41cd0c", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 94001, + "estimated_input_tokens": 23501, + "estimated_eval_tokens": 47258 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is highly heterogeneous: the soft pairs are mostly same-subsystem but different changes, and none looks like a true duplicate or mergeable overlap. I rejected all soft edges.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents the whole cluster; the items span unrelated docs, workflow, LoRA, quantization, and model changes.", + "best_issue_reason": null, + "best_pr_reason": "No PR is a strong global canonical for this cluster. If forced, the most substantive core change is pull_request:10136, but it is not a duplicate of the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10494", + "right": "pull_request:9257", + "accept": false, + "reason": "Different bugs: tokenizers install in LoRA tests vs DreamBooth Flux training logic." + }, + { + "left": "pull_request:11243", + "right": "pull_request:11843", + "accept": false, + "reason": "Same broad LoRA area, but one adds Wan LoRA conversion and the other only adds Wan VACE exclude_modules tests." + }, + { + "left": "pull_request:12425", + "right": "pull_request:13209", + "accept": false, + "reason": "Unrelated fixes in different areas: torch.distributed import guard vs ZImage LoRA key normalization." + }, + { + "left": "pull_request:13275", + "right": "pull_request:13330", + "accept": false, + "reason": "Different test issues: Hunyuan llava kwargs fix vs torchao quantization test typing/workflow changes." + }, + { + "left": "pull_request:1623", + "right": "pull_request:2092", + "accept": false, + "reason": "Both edit requirements, but one updates multiple example requirements and the other removes wandb from one file; not the same change." + }, + { + "left": "pull_request:3921", + "right": "pull_request:4481", + "accept": false, + "reason": "Different artifacts and goals: community pipeline draft vs EDM pipeline/scheduler implementation." + }, + { + "left": "pull_request:5015", + "right": "pull_request:6578", + "accept": false, + "reason": "Both docs-related, but one fixes a broken link and the other changes ControlNet section heading structure." + }, + { + "left": "pull_request:5090", + "right": "pull_request:7062", + "accept": false, + "reason": "Different code paths: T2I Adapter accumulation bug vs Imagic docstring cleanup." + }, + { + "left": "pull_request:5186", + "right": "pull_request:7113", + "accept": false, + "reason": "Different changes: FreeU proof-of-concept in UNet blocks vs Docker Slack notification workflow." + }, + { + "left": "pull_request:6144", + "right": "pull_request:7353", + "accept": false, + "reason": "Different changes: training-script LoRA save logic vs making ControlNet SDXL img2img single-file capable." + }, + { + "left": "pull_request:6215", + "right": "pull_request:7825", + "accept": false, + "reason": "Different test fixes in unrelated subsystems: PixArt test initialization vs model device-map/offload tests." + }, + { + "left": "pull_request:6229", + "right": "pull_request:6961", + "accept": false, + "reason": "Different workflow/test adjustments: push test dependency install vs single-file loader fast tests." + }, + { + "left": "pull_request:7116", + "right": "pull_request:7938", + "accept": false, + "reason": "Related CI reporting area, but one rewires workflow installs and the other changes Docker status notification action." + }, + { + "left": "pull_request:748", + "right": "pull_request:826", + "accept": false, + "reason": "Same DreamBooth family but not the same change: hub push call fix vs fp16 loss cast fix." + }, + { + "left": "pull_request:7825", + "right": "pull_request:9400", + "accept": false, + "reason": "Different testing targets: generic model offload tests vs single-file pipeline device-agnostic updates." + }, + { + "left": "pull_request:8684", + "right": "pull_request:9676", + "accept": false, + "reason": "Different issues: Pillow import in ControlNet docs vs EntryNotFoundError import path in benchmarks." + }, + { + "left": "pull_request:8825", + "right": "pull_request:9687", + "accept": false, + "reason": "Both add control-related pipeline support, but for different pipelines and code paths; not mergeable as one PR." + }, + { + "left": "pull_request:11588", + "right": "pull_request:11997", + "accept": false, + "reason": "Both touch Wan/LoRA-adjacent code, but one is I2V LoRA support and the other is modular Wan I2V/FLF2V pipeline work." + }, + { + "left": "pull_request:10136", + "right": "pull_request:11534", + "accept": false, + "reason": "Same Hunyuan Video branding, but one is the core pipeline/model release and the other adds Framepack support for a different variant." + }, + { + "left": "pull_request:11684", + "right": "pull_request:11869", + "accept": false, + "reason": "Related GGUF area, but one adds loading support and the other adds CUDA kernel acceleration; distinct changes." + }, + { + "left": "pull_request:10494", + "right": "pull_request:11843", + "accept": false, + "reason": "No shared bug/change; a CI dependency fix is unrelated to a new Wan VACE test file." + }, + { + "left": "pull_request:11384", + "right": "pull_request:11802", + "accept": false, + "reason": "Both are deprecation-related but affect different APIs and code paths." + }, + { + "left": "pull_request:12714", + "right": "pull_request:13255", + "accept": false, + "reason": "Different test fix vs LoRA loading behavior change; not the same underlying bug." + }, + { + "left": "pull_request:1937", + "right": "pull_request:3128", + "accept": false, + "reason": "Both are conversion/pipeline fixes, but they address different components and bugs." + }, + { + "left": "pull_request:2994", + "right": "pull_request:4572", + "accept": false, + "reason": "Different training-script issues: ControlNet type casting vs SDXL LoRA network_alpha parameter naming." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 66, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10205", + "pull_request:10206", + "pull_request:10597", + "pull_request:10718", + "pull_request:10750", + "pull_request:10911", + "pull_request:11113", + "pull_request:11124", + "pull_request:11755", + "pull_request:11786", + "pull_request:11802", + "pull_request:11823", + "pull_request:11835", + "pull_request:11994", + "pull_request:12004", + "pull_request:12041", + "pull_request:12490", + "pull_request:3321", + "pull_request:3334", + "pull_request:3675", + "pull_request:3798", + "pull_request:3924", + "pull_request:4099", + "pull_request:4629", + "pull_request:4659", + "pull_request:4666", + "pull_request:4714", + "pull_request:4744", + "pull_request:4783", + "pull_request:4847", + "pull_request:4859", + "pull_request:5506", + "pull_request:5807", + "pull_request:5979", + "pull_request:6259", + "pull_request:6673", + "pull_request:6764", + "pull_request:6904", + "pull_request:6972", + "pull_request:7507", + "pull_request:7786", + "pull_request:8467", + "pull_request:8685", + "pull_request:8913", + "pull_request:9257", + "pull_request:9473", + "pull_request:9838", + "pull_request:9993" + ], + "soft_pairs": [ + "pull_request:3321|pull_request:3924", + "pull_request:3675|pull_request:4859", + "pull_request:3798|pull_request:4714", + "pull_request:4099|pull_request:4859", + "pull_request:4859|pull_request:6972", + "pull_request:6764|pull_request:8685", + "pull_request:7786|pull_request:8467", + "pull_request:8913|pull_request:9993", + "pull_request:6673|pull_request:7507", + "pull_request:10205|pull_request:10206", + "pull_request:10206|pull_request:9473", + "pull_request:3334|pull_request:4744", + "pull_request:4629|pull_request:4666", + "pull_request:4659|pull_request:4783", + "pull_request:5506|pull_request:5807", + "pull_request:6259|pull_request:6904", + "pull_request:9257|pull_request:9838", + "pull_request:12004|pull_request:12041", + "pull_request:10597|pull_request:10718", + "pull_request:11113|pull_request:9838", + "pull_request:11124|pull_request:11786", + "pull_request:11755|pull_request:11994", + "pull_request:11835|pull_request:12490", + "pull_request:10911|pull_request:11802", + "pull_request:4847|pull_request:5979", + "pull_request:10750|pull_request:11823" + ], + "prepared_review_unit_hash": "011d2910399597b3484c9e1e1276f21b7306a63b32643fbca16644425a9bdd08", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 97094, + "estimated_input_tokens": 24274, + "estimated_eval_tokens": 48804 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated PRs across docs, CI, training scripts, LoRA loaders, pipeline fixes, and large feature work. I don\u2019t see a single underlying bug/change tying them together, and none of the soft pairs look like true duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "PR 12004 is the broadest substantive code change in the set, spanning converter/model/pipeline/test updates with multiple references, so it is the least arbitrary representative even though the cluster is not a true duplicate group.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3321", + "right": "pull_request:3924", + "accept": false, + "reason": "Both are documentation edits, but they cover different topics and files; no shared bug/change." + }, + { + "left": "pull_request:3675", + "right": "pull_request:4859", + "accept": false, + "reason": "Different pipeline tests with unrelated fixes; same 'test' label is not enough." + }, + { + "left": "pull_request:3798", + "right": "pull_request:4714", + "accept": false, + "reason": "Training-script comment cleanup vs an import-utils error-message fix; 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they fix different concrete test infrastructure issues." + }, + { + "left": "pull_request:2388", + "right": "pull_request:2490", + "accept": false, + "reason": "Creating the controlling-generation docs page and later adding MultiDiffusion to it are sequential doc edits, not duplicates of the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 73, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:2396", + "pull_request:2398", + "pull_request:2404", + "pull_request:2433", + "pull_request:2446", + "pull_request:2487", + "pull_request:2489", + "pull_request:2539", + "pull_request:2540", + "pull_request:2569", + "pull_request:2598", + "pull_request:2639", + "pull_request:2715", + "pull_request:2757", + "pull_request:2760", + "pull_request:2766", + "pull_request:2814", + "pull_request:2815", + "pull_request:2817", + "pull_request:2897", + "pull_request:2922", + "pull_request:2959", + "pull_request:299", + "pull_request:2994", + "pull_request:3022", + "pull_request:3068", + "pull_request:3165", + "pull_request:3241", + "pull_request:3449", + "pull_request:3474", + "pull_request:3554", + "pull_request:3555", + "pull_request:3800", + "pull_request:3923", + "pull_request:3987", + "pull_request:4058", + "pull_request:408", + "pull_request:420", + "pull_request:4479", + "pull_request:4607", + "pull_request:4859", + "pull_request:5188", + "pull_request:802", + "pull_request:824", + "pull_request:889", + "pull_request:910", + "pull_request:936", + "pull_request:979" + ], + "soft_pairs": [ + "pull_request:2396|pull_request:3241", + "pull_request:2398|pull_request:2489", + "pull_request:2404|pull_request:3800", + "pull_request:2433|pull_request:3474", + "pull_request:2433|pull_request:4607", + "pull_request:2446|pull_request:408", + "pull_request:2446|pull_request:802", + "pull_request:2487|pull_request:824", + "pull_request:2539|pull_request:3923", + "pull_request:2540|pull_request:4058", + "pull_request:2540|pull_request:420", + "pull_request:2569|pull_request:2817", + "pull_request:2598|pull_request:2897", + "pull_request:2598|pull_request:910", + "pull_request:2639|pull_request:3165", + "pull_request:2715|pull_request:4479", + "pull_request:2757|pull_request:3987", + "pull_request:2757|pull_request:889", + "pull_request:2760|pull_request:3068", + "pull_request:2760|pull_request:3554", + "pull_request:2760|pull_request:3555", + "pull_request:2766|pull_request:3449", + "pull_request:2814|pull_request:2815", + "pull_request:2815|pull_request:2922", + "pull_request:2959|pull_request:4859", + "pull_request:299|pull_request:936", + "pull_request:2994|pull_request:5188", + "pull_request:3022|pull_request:979" + ], + "prepared_review_unit_hash": "ad0576c6fcb0cde5887c99be816e231ee387f5549c0d80705ab0641579d7e04a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 94884, + "estimated_input_tokens": 23721, + "estimated_eval_tokens": 47698 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: it mixes unrelated docs edits, typo fixes, test adjustments, and a few real code-path fixes across different components. There is no single underlying bug or change that unifies these into a true duplicate set.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:2396", + "right": "pull_request:3241", + "accept": false, + "reason": "Unrelated test-warning cleanup in scheduler tests vs. a fast-test tolerance tweak for UnCLIP; different code paths and purposes." + }, + { + "left": "pull_request:2398", + "right": "pull_request:2489", + "accept": false, + "reason": "Both are docs-related, but one updates Pix2Pix Zero docs while the other adds a JAX/Flax guide; separate features." + }, + { + "left": "pull_request:2404", + "right": "pull_request:3800", + "accept": false, + "reason": "Typo fix for AttnProcessor2_0 symbol vs. a panorama indexing bug fix; unrelated code changes." + }, + { + "left": "pull_request:2433", + "right": "pull_request:3474", + "accept": false, + "reason": "SDEdit note in img2img docs vs. adding Attention Processor docs; different documentation topics." + }, + { + "left": "pull_request:2433", + "right": "pull_request:4607", + "accept": false, + "reason": "Img2img docs note vs. API overview additions for PushToHubMixin; not the same change." + }, + { + "left": "pull_request:2446", + "right": "pull_request:408", + "accept": false, + "reason": "Pix2Pix docs snippet fix vs. broad docs typo cleanup across multiple files; not a duplicate bug or change." + }, + { + "left": "pull_request:2446", + "right": "pull_request:802", + "accept": false, + "reason": "Pix2Pix docs code snippet fix vs. indentation fix in a custom pipeline example; unrelated documentation issues." + }, + { + "left": "pull_request:2487", + "right": "pull_request:824", + "accept": false, + "reason": "Stable Diffusion JAX/Flax guide addition vs. a Flax pipeline test addition; different artifacts and scope." + }, + { + "left": "pull_request:2539", + "right": "pull_request:3923", + "accept": false, + "reason": "Fixes an incorrect default in pix2pix-zero docstring vs. adding a missing torch import in stable diffusion docs; separate issues." + }, + { + "left": "pull_request:2540", + "right": "pull_request:4058", + "accept": false, + "reason": "ControlNet docs section correction vs. SDXL docs layout/content correction; unrelated docs fixes." + }, + { + "left": "pull_request:2540", + "right": "pull_request:420", + "accept": false, + "reason": "ControlNet docs correction vs. older optimization-section reorg and content replacement; not the same change." + }, + { + "left": "pull_request:2569", + "right": "pull_request:2817", + "accept": false, + "reason": "OpenVINO docs addition vs. UNet1D extra_in_channels documentation; different features and files." + }, + { + "left": "pull_request:2598", + "right": "pull_request:2897", + "accept": false, + "reason": "Paint-by-example docs update vs. Stable UnCLIP docs example addition; distinct pipeline docs." + }, + { + "left": "pull_request:2598", + "right": "pull_request:910", + "accept": false, + "reason": "Paint-by-example docs update vs. initial in-painting pipeline docs update; different pipelines and content." + }, + { + "left": "pull_request:2639", + "right": "pull_request:3165", + "accept": false, + "reason": "Basic training tutorial tweak vs. custom diffusion docs formatting/spacing update; unrelated docs changes." + }, + { + "left": "pull_request:2715", + "right": "pull_request:4479", + "accept": false, + "reason": "Broad typo cleanup across models/docs vs. typo fixes in several pipeline docstrings; not the same concrete fix." + }, + { + "left": "pull_request:2757", + "right": "pull_request:3987", + "accept": false, + "reason": "Depth batching code fix vs. audio diffusion doc snippet fix; different domains and no shared bug." + }, + { + "left": "pull_request:2757", + "right": "pull_request:889", + "accept": false, + "reason": "Depth2img batching bug fix vs. adding components docs/functionality; unrelated changes." + }, + { + "left": "pull_request:2760", + "right": "pull_request:3068", + "accept": false, + "reason": "Different textual inversion-related example/docs changes, but one is a new quantization example and the other is training/docs refactoring; not the same underlying change." + }, + { + "left": "pull_request:2760", + "right": "pull_request:3554", + "accept": false, + "reason": "Quantization/distillation textual inversion example vs. a multi-example Moreh integration PR; separate codebases and intent." + }, + { + "left": "pull_request:2760", + "right": "pull_request:3555", + "accept": false, + "reason": "Quantization/distillation textual inversion example vs. another Moreh textual inversion integration PR; not the same concrete fix or feature." + }, + { + "left": "pull_request:2766", + "right": "pull_request:3449", + "accept": false, + "reason": "Torch 2.0 MPS test expectation updates vs. workflow rework for MPS/ONNX tests; one is a test assertion fix, the other CI restructuring." + }, + { + "left": "pull_request:2814", + "right": "pull_request:2815", + "accept": false, + "reason": "Stable UnCLIP pipeline implementation completion vs. Stable unCLIP docs update; one is code, the other documentation." + }, + { + "left": "pull_request:2815", + "right": "pull_request:2922", + "accept": false, + "reason": "Stable unCLIP docs update vs. a minor unclip.mdx punctuation correction; different scope and files." + }, + { + "left": "pull_request:2959", + "right": "pull_request:4859", + "accept": false, + "reason": "UNet3D norm-group test fix vs. SDXL inpaint fast-test input fix; unrelated tests for different models." + }, + { + "left": "pull_request:299", + "right": "pull_request:936", + "accept": false, + "reason": "PNDM scheduler hotfix vs. moving stable diffusion tests into separate files; unrelated code and test maintenance." + }, + { + "left": "pull_request:2994", + "right": "pull_request:5188", + "accept": false, + "reason": "ControlNet training dtype-casting fix vs. adding compute_snr to training utils; different training issues and code paths." + }, + { + "left": "pull_request:3022", + "right": "pull_request:979", + "accept": false, + "reason": "Adding AttnProcessor2_0 to a union type vs. inserting a missing torch import in README; unrelated fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 74, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:3030", + "pull_request:3063", + "pull_request:3069", + "pull_request:3099", + "pull_request:3118", + "pull_request:3132", + "pull_request:316", + "pull_request:3166", + "pull_request:3183", + "pull_request:325", + "pull_request:3266", + "pull_request:3331", + "pull_request:335", + "pull_request:3474", + "pull_request:3547", + "pull_request:3554", + "pull_request:3555", + "pull_request:3572", + "pull_request:3577", + "pull_request:3581", + "pull_request:3608", + "pull_request:3710", + "pull_request:3744", + "pull_request:3786", + "pull_request:3820", + "pull_request:3894", + "pull_request:3921", + "pull_request:3923", + "pull_request:3952", + "pull_request:4172", + "pull_request:4612", + "pull_request:4741", + "pull_request:4853", + "pull_request:4965", + "pull_request:4984", + "pull_request:5039", + "pull_request:5065", + "pull_request:5066", + "pull_request:5303", + "pull_request:5448", + "pull_request:5549", + "pull_request:5723", + "pull_request:5745", + "pull_request:5780", + "pull_request:5871", + "pull_request:822", + "pull_request:971" + ], + "soft_pairs": [ + "pull_request:3030|pull_request:3183", + "pull_request:3063|pull_request:3099", + "pull_request:3069|pull_request:822", + "pull_request:3118|pull_request:5066", + "pull_request:3132|pull_request:5065", + "pull_request:3132|pull_request:5066", + "pull_request:316|pull_request:971", + "pull_request:3166|pull_request:4965", + "pull_request:325|pull_request:335", + "pull_request:3266|pull_request:5303", + "pull_request:3331|pull_request:3572", + "pull_request:3474|pull_request:5723", + "pull_request:3547|pull_request:5549", + "pull_request:3554|pull_request:5039", + "pull_request:3555|pull_request:5039", + "pull_request:3572|pull_request:3744", + "pull_request:3577|pull_request:4612", + "pull_request:3581|pull_request:5780", + "pull_request:3608|pull_request:3820", + "pull_request:3608|pull_request:5066", + "pull_request:3710|pull_request:4853", + "pull_request:3786|pull_request:4984", + "pull_request:3894|pull_request:4172", + "pull_request:3921|pull_request:5448", + "pull_request:3923|pull_request:4741", + "pull_request:3923|pull_request:5745", + "pull_request:3952|pull_request:5871" + ], + "prepared_review_unit_hash": "5805706261319717a3b01d69e2c9944e96de973d16d4bdf00875598f98a0118d", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 27, + "serialized_chars": 89401, + "estimated_input_tokens": 22351, + "estimated_eval_tokens": 44958 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is a loose grab-bag of unrelated PRs; none of the soft-edge pairs look like the same underlying bug or change. Most are just similar titles in the same broad area (docs, typos, type hints, or pipeline examples), but the diffs target different files and code paths.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5448 is the strongest representative: it is a large, merged feature PR with an explicit issue target, broad but coherent scope, and substantial review activity.", + "best_issue_reason": null, + "best_pr_reason": "PR 5448 is the best global representative because it is the most substantive merged change in the set, whereas the rest are mostly small, isolated fixes or docs tweaks.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3030", + "right": "pull_request:3183", + "accept": false, + "reason": "Different bugs in different pipelines: panorama CFG handling vs DreamBooth LoRA checkpoint registration." + }, + { + "left": "pull_request:3063", + "right": "pull_request:3099", + "accept": false, + "reason": "Both are small bug fixes, but one is pipeline __setattr__ None handling and the other is an Attend-and-Excite default argument change." + }, + { + "left": "pull_request:3069", + "right": "pull_request:822", + "accept": false, + "reason": "Unrelated changes: Flax TPU test expectations vs Flax scheduler API updates." + }, + { + "left": "pull_request:3118", + "right": "pull_request:5066", + "accept": false, + "reason": "Different code paths: ControlNet image preparation defaults vs a typo/cleanup in attention processor logic." + }, + { + "left": "pull_request:3132", + "right": "pull_request:5065", + "accept": false, + "reason": "A type-hint fix in Score SDE VE is unrelated to a LoRA/attention-processor typo fix." + }, + { + "left": "pull_request:3132", + "right": "pull_request:5066", + "accept": false, + "reason": "Different files and changes: Score SDE VE typing vs attention-processor behavior/cleanup." + }, + { + "left": "pull_request:316", + "right": "pull_request:971", + "accept": false, + "reason": "README contribution text is unrelated to the Bit Diffusion community-pipeline work." + }, + { + "left": "pull_request:3166", + "right": "pull_request:4965", + "accept": false, + "reason": "Different documentation/code changes for textual inversion docs vs Wuerstchen docs formatting." + }, + { + "left": "pull_request:325", + "right": "pull_request:335", + "accept": false, + "reason": "Both touch type hints, but they are separate scheduler classes with different APIs and no shared bug." + }, + { + "left": "pull_request:3266", + "right": "pull_request:5303", + "accept": false, + "reason": "Community-pipeline version-loading logic is unrelated to DeepFloyd IF docstring cleanup." + }, + { + "left": "pull_request:3331", + "right": "pull_request:3572", + "accept": false, + "reason": "Both are docs typos, but they affect different inpainting docs pages and different examples." + }, + { + "left": "pull_request:3474", + "right": "pull_request:5723", + "accept": false, + "reason": "Both are docs additions, but one adds AttnProcessor API docs and the other adds LCM docs; not the same change." + }, + { + "left": "pull_request:3547", + "right": "pull_request:5549", + "accept": false, + "reason": "Initial BibTeX references and initial Portuguese translation are unrelated documentation additions." + }, + { + "left": "pull_request:3554", + "right": "pull_request:5039", + "accept": false, + "reason": "The fork's textual-inversion example changes are not the same underlying change as SDXL textual inversion docs." + }, + { + "left": "pull_request:3555", + "right": "pull_request:5039", + "accept": false, + "reason": "Different scope: forked training/example files vs SDXL documentation for textual inversion." + }, + { + "left": "pull_request:3572", + "right": "pull_request:3744", + "accept": false, + "reason": "ControlNet inpainting doc copy edits are unrelated to the docs-upload token workflow fix." + }, + { + "left": "pull_request:3577", + "right": "pull_request:4612", + "accept": false, + "reason": "Both fix links, but in different docs pages and for different targets; not one duplicate change." + }, + { + "left": "pull_request:3581", + "right": "pull_request:5780", + "accept": false, + "reason": "Different community scripts and different changes; no shared underlying bug or feature." + }, + { + "left": "pull_request:3608", + "right": "pull_request:3820", + "accept": false, + "reason": "Typos in two different example docs/scripts are not the same issue." + }, + { + "left": "pull_request:3608", + "right": "pull_request:5066", + "accept": false, + "reason": "Text-to-image example typo fix is unrelated to the attention-processor cleanup." + }, + { + "left": "pull_request:3710", + "right": "pull_request:4853", + "accept": false, + "reason": "Documentation addition for image processor vs a functional width/height bug fix in image_processor.py." + }, + { + "left": "pull_request:3786", + "right": "pull_request:4984", + "accept": false, + "reason": "Both touch the PR template, but one adds the template and the other tweaks reviewer names; not the same underlying change." + }, + { + "left": "pull_request:3894", + "right": "pull_request:4172", + "accept": false, + "reason": "Flax UNet dropout addition and Flax model type-casting are separate model features/fixes." + }, + { + "left": "pull_request:3921", + "right": "pull_request:5448", + "accept": false, + "reason": "Different feature pipelines: blended text inpainting vs latent consistency models." + }, + { + "left": "pull_request:3923", + "right": "pull_request:4741", + "accept": false, + "reason": "Docs typo in stable diffusion guide is unrelated to AudioLDM2 dummy import fixes." + }, + { + "left": "pull_request:3923", + "right": "pull_request:5745", + "accept": false, + "reason": "A docs import fix is unrelated to the ConsistencyDecoderVAE doc example correction." + }, + { + "left": "pull_request:3952", + "right": "pull_request:5871", + "accept": false, + "reason": "These are unrelated temporary/test-only PRs in different areas: dependency pinning vs deprecated scheduler rebase." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 75, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:3983", + "pull_request:3985", + "pull_request:3989", + "pull_request:4058", + "pull_request:406", + "pull_request:4082", + "pull_request:421", + "pull_request:4211", + "pull_request:4267", + "pull_request:4275", + "pull_request:4320", + "pull_request:4330", + "pull_request:4350", + "pull_request:4351", + "pull_request:4397", + "pull_request:4479", + "pull_request:4495", + "pull_request:4546", + "pull_request:4570", + 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"pull_request:4275", + "right": "pull_request:6440", + "accept": false, + "reason": "Different documentation pages and different fixes." + }, + { + "left": "pull_request:4275", + "right": "pull_request:6620", + "accept": false, + "reason": "Autopipeline docs vs. script argument docs; no duplicate change." + }, + { + "left": "pull_request:4320", + "right": "pull_request:5961", + "accept": false, + "reason": "Typo fixes in unrelated docs/docstrings." + }, + { + "left": "pull_request:4330", + "right": "pull_request:6596", + "accept": false, + "reason": "Both change headers, but in different READMEs and for different content." + }, + { + "left": "pull_request:4350", + "right": "pull_request:5745", + "accept": false, + "reason": "FP16 adapter docs and ConsistencyDecoder doc type fixes are unrelated." + }, + { + "left": "pull_request:4350", + "right": "pull_request:6475", + "accept": false, + "reason": "Different model/doc fixes in unrelated pipelines." + }, + { + "left": "pull_request:4351", + "right": "pull_request:5454", + "accept": false, + "reason": "README image-path tweak and scheduler-link docs fix are unrelated." + }, + { + "left": "pull_request:4351", + "right": "pull_request:6438", + "accept": false, + "reason": "A README image URL change and an installation note are different doc edits." + }, + { + "left": "pull_request:4397", + "right": "pull_request:4783", + "accept": false, + "reason": "Both are SDXL docs, but one updates guidance_scale defaults while the other documents force-zero embeddings; separate changes." + }, + { + "left": "pull_request:4479", + "right": "pull_request:5051", + "accept": false, + "reason": "Misc typos across several pipelines vs. Wuerstchen typo docs; not the same change." + }, + { + "left": "pull_request:4495", + "right": "pull_request:5982", + "accept": false, + "reason": "Community SDXL reference code and SDXL Turbo docs are unrelated." + }, + { + "left": "pull_request:4570", + "right": "pull_request:5818", + 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Pix2Pix Zero guide; different content additions." + }, + { + "left": "pull_request:4794", + "right": "pull_request:4999", + "accept": false, + "reason": "Weighted-prompts compel syntax correction is unrelated to Wuerstchen docs and pipeline examples." + }, + { + "left": "pull_request:4822", + "right": "pull_request:5961", + "accept": false, + "reason": "A LoRA warning-string typo and a PixArt docstring default-value typo are different code paths and fixes." + }, + { + "left": "pull_request:4853", + "right": "pull_request:5065", + "accept": false, + "reason": "Image processor width handling is a functional bug; guidance_rescale docstring text is a separate documentation change." + }, + { + "left": "pull_request:4856", + "right": "pull_request:6314", + "accept": false, + "reason": "These are different broken links on different docs pages: SDXL guide link versus T2I-Adapter paper link." + }, + { + "left": "pull_request:4856", + "right": "pull_request:6462", + "accept": false, + "reason": "A Stable Diffusion XL link fix and an aMUSEd paper-link fix are unrelated docs edits." + }, + { + "left": "pull_request:5041", + "right": "pull_request:5982", + "accept": false, + "reason": "SDXL refiner-only test changes and SDXL Turbo documentation are different artifacts and changes." + }, + { + "left": "pull_request:5063", + "right": "pull_request:5961", + "accept": false, + "reason": "A broad guidance_rescale docstring update across pipelines is not the same as a PixArt docstring default correction." + }, + { + "left": "pull_request:517", + "right": "pull_request:885", + "accept": false, + "reason": "A CI test-report workflow change and a new DPM encoder scheduler implementation are unrelated." + }, + { + "left": "pull_request:5236", + "right": "pull_request:5983", + "accept": false, + "reason": "KO unconditional-image-generation formatting fixes are unrelated to SVD doc formatting/link cleanup." + }, + { + "left": "pull_request:5267", + "right": "pull_request:6209", + "accept": false, + "reason": "The README.md documentation-conventions update is not the same change as the text_to_image example script instructions." + }, + { + "left": "pull_request:5267", + "right": "pull_request:7495", + "accept": false, + "reason": "README formatting guidance and Colab notebook link fixes are different documentation issues." + }, + { + "left": "pull_request:5298", + "right": "pull_request:5991", + "accept": false, + "reason": "Both concern LoRA, but one fixes torch.compile behavior in conv layers and the other fixes duplicate unet prefix serialization handling." + }, + { + "left": "pull_request:5386", + "right": "pull_request:7181", + "accept": false, + "reason": "These are both typo sweeps, but they touch different files and different typo sets; no single bug/change to merge." + }, + { + "left": "pull_request:5411", + "right": "pull_request:6998", + "accept": false, + "reason": "A broken textual-inversion training-doc link is unrelated to the IP-Adapter callout marker 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in a community pipeline and fixing offload behavior with device_map are different bugs." + }, + { + "left": "pull_request:5823", + "right": "pull_request:6229", + "accept": false, + "reason": "Adding adapter_names support in fuse_lora is unrelated to installing peft in fast push tests." + }, + { + "left": "pull_request:5823", + "right": "pull_request:6308", + "accept": false, + "reason": "A new fuse_lora feature and LoRA PEFT dummy-component test fixes are not the same code-path change." + }, + { + "left": "pull_request:5828", + "right": "pull_request:7747", + "accept": false, + "reason": "A memory-related VAE test tweak and a VAE tiling test fix are different tests and different failures." + }, + { + "left": "pull_request:5831", + "right": "pull_request:6604", + "accept": false, + "reason": "A toctree title fix and missing AutoencoderKL API docs are unrelated documentation updates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 77, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:5838", + "pull_request:5855", + "pull_request:5901", + "pull_request:5911", + "pull_request:5961", + "pull_request:5982", + "pull_request:5986", + "pull_request:60", + "pull_request:6081", + "pull_request:61", + "pull_request:6106", + "pull_request:6122", + "pull_request:6144", + "pull_request:6147", + "pull_request:6163", + "pull_request:6209", + "pull_request:6221", + "pull_request:6229", + "pull_request:6276", + "pull_request:6291", + "pull_request:63", + "pull_request:6308", + "pull_request:6311", + "pull_request:6332", + "pull_request:6339", + "pull_request:6403", + 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"pull_request:61|pull_request:98", + "pull_request:6106|pull_request:7015", + "pull_request:6122|pull_request:7181", + "pull_request:6144|pull_request:6952", + "pull_request:6147|pull_request:6961", + "pull_request:6163|pull_request:6221", + "pull_request:6229|pull_request:6311", + "pull_request:6229|pull_request:7797", + "pull_request:6229|pull_request:7803", + "pull_request:6229|pull_request:7804", + "pull_request:6276|pull_request:8426", + "pull_request:6291|pull_request:7301", + "pull_request:63|pull_request:98", + "pull_request:6308|pull_request:6965", + "pull_request:6332|pull_request:7062", + "pull_request:6339|pull_request:6620" + ], + "prepared_review_unit_hash": "2600ff50487d3f6145c149ceda37d8c7a7fdaf9c61caee528321c95b8298a413", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + 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change." + }, + { + "left": "pull_request:6081", + "right": "pull_request:7913", + "accept": false, + "reason": "Both mention sigmas/timesteps, but one is an Euler-discrete pipeline edit and the other adds custom sigmas/timesteps support for a different pipeline." + }, + { + "left": "pull_request:61", + "right": "pull_request:98", + "accept": false, + "reason": "Different conversion scripts for different model families." + }, + { + "left": "pull_request:6106", + "right": "pull_request:7015", + "accept": false, + "reason": "Both fix examples/docs around single-file usage, but they address different scripts and different single-file loading problems." + }, + { + "left": "pull_request:6122", + "right": "pull_request:7181", + "accept": false, + "reason": "Both are typo fixes, but they span unrelated files and unrelated edits." + }, + { + "left": "pull_request:6144", + "right": "pull_request:6952", + "accept": false, + "reason": "Both update training/example scripts, but they are different recipes and different fixes." + }, + { + "left": "pull_request:6147", + "right": "pull_request:6961", + "accept": false, + "reason": "One fixes SDXL inpainting single-file loading; the other adds fast tests for single-file loaders." + }, + { + "left": "pull_request:6163", + "right": "pull_request:6221", + "accept": false, + "reason": "Both are test cleanups, but they cover different pipelines and different issues." + }, + { + "left": "pull_request:6229", + "right": "pull_request:6311", + "accept": false, + "reason": "One adds a dependency to fast tests; the other adds documentation for a fast-diffusion tutorial." + }, + { + "left": "pull_request:6229", + "right": "pull_request:7797", + "accept": false, + "reason": "Different changes: dependency setup versus shrinking DDPM fast-test model size." + }, + { + "left": "pull_request:6229", + "right": "pull_request:7803", + "accept": false, + "reason": "Different changes: dependency setup versus shrinking DDIM fast-test model size." + }, + { + "left": "pull_request:6229", + "right": "pull_request:7804", + "accept": false, + "reason": "Different changes: dependency setup versus shrinking AMUSED fast-test models." + }, + { + "left": "pull_request:6276", + "right": "pull_request:8426", + "accept": false, + "reason": "A community pipeline feature PR and a workflow fix are unrelated." + }, + { + "left": "pull_request:6291", + "right": "pull_request:7301", + "accept": false, + "reason": "One adjusts LoRA unfusion test behavior; the other corrects a VAE scaling constant." + }, + { + "left": "pull_request:63", + "right": "pull_request:98", + "accept": false, + "reason": "Different conversion utilities for different pipelines/models." + }, + { + "left": "pull_request:6308", + "right": "pull_request:6965", + "accept": false, + "reason": "Both touch LoRA tests, but they target different test scenarios and different pipelines." + }, + { + "left": "pull_request:6332", + "right": "pull_request:7062", + "accept": false, + "reason": "Different community pipelines and different features/documentation." + }, + { + "left": "pull_request:6339", + "right": "pull_request:6620", + "accept": false, + "reason": "Both are doc-oriented fixes, but they address unrelated files and content." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 78, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:6424", + "pull_request:6573", + "pull_request:6669", + "pull_request:6680", + "pull_request:6764", + "pull_request:6789", + "pull_request:6868", + "pull_request:7068", + "pull_request:7113", + "pull_request:7118", + "pull_request:7236", + "pull_request:7247", + "pull_request:7325", + "pull_request:7360", + "pull_request:7451", + "pull_request:7542", + "pull_request:7544", + "pull_request:7709", + "pull_request:7719", + "pull_request:7746", + "pull_request:7786", + "pull_request:7868", + "pull_request:7919", + "pull_request:7932", + "pull_request:7934", + "pull_request:7977", + "pull_request:8230", + "pull_request:8426", + "pull_request:8470", + "pull_request:8483", + "pull_request:8490", + "pull_request:8498", + "pull_request:8583", + "pull_request:8600", + "pull_request:8642", + "pull_request:8675", + "pull_request:8691", + "pull_request:8851", + "pull_request:8860", + "pull_request:8883", + "pull_request:8984", + "pull_request:9066", + "pull_request:9077", + "pull_request:9100", + "pull_request:9249", + "pull_request:9286", + "pull_request:9765", + "pull_request:9860" + ], + "soft_pairs": [ + "pull_request:6424|pull_request:6789", + "pull_request:6573|pull_request:6868", + "pull_request:6669|pull_request:8470", + 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"pull_request:8583|pull_request:8984", + "pull_request:8583|pull_request:9249", + "pull_request:8583|pull_request:9860", + "pull_request:8600|pull_request:9286" + ], + "prepared_review_unit_hash": "9698391277a72974b12514fbc6a8d9e8689f1cb1080be9bec5b75c78c76526b3", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 31, + "serialized_chars": 102104, + "estimated_input_tokens": 25526, + "estimated_eval_tokens": 51308 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated PRs bundled by broad subsystem overlap or typo/test cleanup. The only near-duplicate is the PixArt converter/inference fix pair; the rest are distinct changes and should not be merged as duplicates.", + "confidence": 0.74, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a clean canonical duplicate for this cluster because the items span unrelated docs, CI, test, and model changes; if forced, 8483 is the broadest functional umbrella, but it is not a true duplicate target.", + "best_issue_reason": null, + "best_pr_reason": "8483 is the most central and broadest functional change in the set, but the cluster is too heterogeneous for a strong canonical PR choice.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6424", + "right": "pull_request:6789", + "accept": true, + "reason": "Both address the same PixArt converter/inference bug around the 256px path and weight mapping; 6789 is a broader superset of the same fix." + }, + { + "left": "pull_request:6573", + "right": "pull_request:6868", + "accept": false, + "reason": "Both mention IP-Adapter, but they fix different problems: multi-adapter support vs. embedding/offload handling in pipeline calls." + }, + { + "left": "pull_request:6669", + "right": "pull_request:8470", + "accept": false, + "reason": "Unrelated README/doc updates with different content and no shared concrete bug/change." + }, + { + "left": "pull_request:6680", + "right": "pull_request:7746", + "accept": false, + "reason": "Different test failures in different areas: DPM scheduler slow test vs. VAE tiling consistency test." + }, + { + "left": "pull_request:6680", + "right": "pull_request:8883", + "accept": false, + "reason": "One is a scheduler test tweak, the other is a CI workflow overhaul; not the same underlying change." + }, + { + "left": "pull_request:6764", + "right": "pull_request:7113", + "accept": false, + "reason": "Documentation note about serialization vs. Docker CI Slack notifications are unrelated." + }, + { + "left": "pull_request:7068", + "right": "pull_request:7325", + "accept": false, + "reason": "Both are typo cleanup PRs, but they target different files and edits; not the same concrete change." + }, + { + "left": "pull_request:7068", + "right": "pull_request:9077", + "accept": false, + "reason": "Generic typo fixes, but on different docs/code paths and different edits." + }, + { + "left": "pull_request:7118", + "right": "pull_request:7325", + "accept": false, + "reason": "Both are docs typo fixes, but they are separate edits to different sections and not one duplicate bug." + }, + { + "left": "pull_request:7236", + "right": "pull_request:9286", + "accept": false, + "reason": "DreamBooth training script changes vs. a package export update are unrelated." + }, + { + "left": "pull_request:7247", + "right": "pull_request:7932", + "accept": false, + "reason": "Different test fixes in different areas: single-file config checking vs. LoRA RGB-ordering expectations." + }, + { + "left": "pull_request:7360", + "right": "pull_request:8851", + "accept": false, + "reason": "TCD scheduler doc/typing cleanup vs. adding AuraFlow docs are unrelated." + }, + { + "left": "pull_request:7451", + "right": "pull_request:9077", + "accept": false, + "reason": "Both touch documentation typos, but they are broad cleanup PRs with no shared concrete issue or change set." + }, + { + "left": "pull_request:7542", + "right": "pull_request:8230", + "accept": false, + "reason": "CPU offload test typo vs. broader offloading usage/docs update; not the same underlying bug." + }, + { + "left": "pull_request:7542", + "right": "pull_request:8642", + "accept": false, + "reason": "A test typo fix in CPU offload code is unrelated to SD3 docstring cleanup." + }, + { + "left": "pull_request:7544", + "right": "pull_request:7868", + "accept": false, + "reason": "Same test file, but they fix different assertions for different offload behaviors; not a single duplicate change." + }, + { + "left": "pull_request:7544", + "right": "pull_request:8230", + "accept": false, + "reason": "Different scope: one is a test assertion fix, the other is a broader CPU offloading usage/documentation update." + }, + { + "left": "pull_request:7709", + "right": "pull_request:7719", + "accept": false, + "reason": "Both touch the same workflow, but 7719 is a follow-up auth-key tweak, not the same concrete change as adding Tailscale support." + }, + { + "left": "pull_request:7786", + "right": "pull_request:7919", + "accept": false, + "reason": "Stable Video Diffusion prompt/video count bug vs. device_map offload behavior are unrelated." + }, + { + "left": "pull_request:7934", + "right": "pull_request:8691", + "accept": false, + "reason": "Single-file config dict loading vs. LoRA loading for vanilla fine-tuned models are different code paths." + }, + { + "left": "pull_request:7977", + "right": "pull_request:9100", + "accept": false, + "reason": "Different typo fixes in different files; no shared underlying bug/change." + }, + { + "left": "pull_request:8426", + "right": "pull_request:9765", + "accept": false, + "reason": "CI mirror workflow fix vs. SD3 pipeline docstring typo are unrelated." + }, + { + "left": "pull_request:8470", + "right": "pull_request:8490", + "accept": false, + "reason": "Different README updates for different projects; not duplicates." + }, + { + "left": "pull_request:8470", + "right": "pull_request:8860", + "accept": false, + "reason": "Unrelated README updates with different content and target docs." + }, + { + "left": "pull_request:8483", + "right": "pull_request:8675", + "accept": false, + "reason": "Adding Stable Diffusion 3 vs. a fast-diffusion doc note are unrelated changes." + }, + { + "left": "pull_request:8483", + "right": "pull_request:9066", + "accept": false, + "reason": "SD3 feature integration vs. Stable Cascade docs are separate additions." + }, + { + "left": "pull_request:8498", + "right": "pull_request:9100", + "accept": false, + "reason": "Different typo fixes in different files and code paths." + }, + { + "left": "pull_request:8583", + "right": "pull_request:8984", + "accept": false, + "reason": "SD3 xFormers support vs. SD3 ONNX conversion/pipeline are different concrete features." + }, + { + "left": "pull_request:8583", + "right": "pull_request:9249", + "accept": false, + "reason": "xFormers support in SD3 and ControlNet SD3 example training are unrelated." + }, + { + "left": "pull_request:8583", + "right": "pull_request:9860", + "accept": false, + "reason": "SD3 attention backend support vs. ControlNet SD3/3.5 example support are different changes." + }, + { + "left": "pull_request:8600", + "right": "pull_request:9286", + "accept": false, + "reason": "DreamBooth SD3 training script update vs. package export cleanup are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is conservative and grounded in the packet. The only accepted soft edge, 6424 \u2194 6789, is supported by the shared PixArt converter/inference fix and looks mergeable as a single bugfix PR. The other pairwise rejections are appropriately cautious, and the cluster-level note that the set is heterogeneous is consistent with the evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 79, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10494", + "pull_request:11059", + "pull_request:11124", + "pull_request:11522", + "pull_request:11595", + "pull_request:11835", + "pull_request:11843", + "pull_request:12040", + "pull_request:12170", + "pull_request:1513", + "pull_request:1838", + "pull_request:2183", + "pull_request:2339", + "pull_request:3968", + "pull_request:4098", + "pull_request:4099", + "pull_request:4659", + "pull_request:4661", + "pull_request:5058", + "pull_request:5117", + "pull_request:5202", + "pull_request:5407", + "pull_request:5470", + "pull_request:5697", + "pull_request:5807", + "pull_request:6236", + "pull_request:6573", + "pull_request:7186", + "pull_request:8642", + "pull_request:8845", + "pull_request:8937", + "pull_request:8965", + "pull_request:8984", + "pull_request:9244", + "pull_request:9426", + "pull_request:9571", + "pull_request:9620", + "pull_request:9658", + "pull_request:9687", + "pull_request:9706", + "pull_request:9709", + "pull_request:9754", + "pull_request:9765", + "pull_request:9827", + "pull_request:9832", + "pull_request:9860", + "pull_request:9994" + ], + "soft_pairs": [ + "pull_request:8642|pull_request:8845", + "pull_request:8845|pull_request:9765", + "pull_request:8965|pull_request:9994", + "pull_request:8984|pull_request:9860", + "pull_request:8984|pull_request:9994", + "pull_request:9571|pull_request:9658", + "pull_request:9620|pull_request:9860", + "pull_request:9754|pull_request:9832", + "pull_request:12040|pull_request:12170", + "pull_request:5470|pull_request:6236", + "pull_request:11522|pull_request:11835", + "pull_request:1838|pull_request:2183", + "pull_request:3968|pull_request:4098", + "pull_request:9426|pull_request:9709", + "pull_request:5058|pull_request:5202", + "pull_request:1513|pull_request:2339", + "pull_request:4099|pull_request:4659", + "pull_request:4099|pull_request:4661", + "pull_request:5117|pull_request:5407", + "pull_request:5697|pull_request:5807", + "pull_request:8937|pull_request:9706", + "pull_request:9244|pull_request:9687", + "pull_request:6573|pull_request:7186", + "pull_request:10494|pull_request:9827", + "pull_request:11059|pull_request:11843", + "pull_request:11124|pull_request:11595" + ], + "prepared_review_unit_hash": "9bcebd7458211b00eca3c26aed800dccd5a251311e42bbd943edfa9a64aaac3e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 104331, + "estimated_input_tokens": 26083, + "estimated_eval_tokens": 52422 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is noisy and heterogeneous: it mixes unrelated PRs across docs, CI, LoRA, ControlNet, SDXL/SD3, Flux, and test-only fixes. None of the soft-edge pairs look like the same underlying change, so I would not merge any of them for duplicate triage.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR safely subsumes the cluster; the items span unrelated fixes and features, so there is no safe canonical PR.", + "best_issue_reason": null, + "best_pr_reason": "No PR is a strong global representative here; the cluster is too heterogeneous to pick a reliable best PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8642", + "right": "pull_request:8845", + "accept": false, + "reason": "Both are typo fixes, but in unrelated areas (SD3 docs vs PAG tests) and not the same change." + }, + { + "left": "pull_request:8845", + "right": "pull_request:9765", + "accept": false, + "reason": "Different typo fixes in different files and subsystems; no shared underlying bug." + }, + { + "left": "pull_request:8965", + "right": "pull_request:9994", + "accept": false, + "reason": "A small pipeline-utils rename is unrelated to a new Omnigen model/pipeline implementation." + }, + { + "left": "pull_request:8984", + "right": "pull_request:9860", + "accept": false, + "reason": "SD3 ONNX support and SD3.5 ControlNet example updates are different features." + }, + { + "left": "pull_request:8984", + "right": "pull_request:9994", + "accept": false, + "reason": "ONNX export work for SD3 is unrelated to adding Omnigen support." + }, + { + "left": "pull_request:9571", + "right": "pull_request:9658", + "accept": false, + "reason": "ControlNet guidance API changes are not the same as a new distilled example app." + }, + { + "left": "pull_request:9620", + "right": "pull_request:9860", + "accept": false, + "reason": "Interrupt support in ControlNet is unrelated to SD3.5 ControlNet example support." + }, + { + "left": "pull_request:9754", + "right": "pull_request:9832", + "accept": false, + "reason": "A training-script example and quantization CI/tests are separate changes, not one fix." + }, + { + "left": "pull_request:12040", + "right": "pull_request:12170", + "accept": false, + "reason": "Both touch LoRA conversion code, but they target different model families and distinct conversion paths." + }, + { + "left": "pull_request:5470", + "right": "pull_request:6236", + "accept": false, + "reason": "Pipeline fixes and a docs example correction are not the same underlying bug." + }, + { + "left": "pull_request:11522", + "right": "pull_request:11835", + "accept": false, + "reason": "Audioldm2 transformers compatibility and float16 test cleanup are unrelated." + }, + { + "left": "pull_request:1838", + "right": "pull_request:2183", + "accept": false, + "reason": "Textual inversion image logging and a tokenizer wiring fix are different bugs." + }, + { + "left": "pull_request:3968", + "right": "pull_request:4098", + "accept": false, + "reason": "A broad SDXL improvement PR and SDXL inpainting are different changes." + }, + { + "left": "pull_request:9426", + "right": "pull_request:9709", + "accept": false, + "reason": "CI artifact uploader updates and torch version pinning solve different problems." + }, + { + "left": "pull_request:5058", + "right": "pull_request:5202", + "accept": false, + "reason": "PEFT text-encoder integration and Kohya checkpoint support are distinct LoRA/PEFT changes." + }, + { + "left": "pull_request:1513", + "right": "pull_request:2339", + "accept": false, + "reason": "Dreambooth README helper docs and checkpointing docs/tests are not the same fix." + }, + { + "left": "pull_request:4099", + "right": "pull_request:4659", + "accept": false, + "reason": "The SDXL prompt-embed bugfix and the long-weighted-prompt pipeline work address different code paths." + }, + { + "left": "pull_request:4099", + "right": "pull_request:4661", + "accept": false, + "reason": "Same reasoning: prompt-embed bugfix vs a separate community pipeline feature." + }, + { + "left": "pull_request:5117", + "right": "pull_request:5407", + "accept": false, + "reason": "Training-resume logging and mixed-precision training fixes are unrelated." + }, + { + "left": "pull_request:5697", + "right": "pull_request:5807", + "accept": false, + "reason": "A PEFT/xformers LoRA bugfix and num_images_per_prompt support are different concrete issues." + }, + { + "left": "pull_request:8937", + "right": "pull_request:9706", + "accept": false, + "reason": "AuraFlow long-prompt handling and a docs refactor are not the same change." + }, + { + "left": "pull_request:9244", + "right": "pull_request:9687", + "accept": false, + "reason": "Flux single-file support and Xlabs ControlNet support are separate features." + }, + { + "left": "pull_request:6573", + "right": "pull_request:7186", + "accept": false, + "reason": "Both are IP-Adapter related, but one adds multi-adapter support while the other moves Face ID to core; not the same change." + }, + { + "left": "pull_request:10494", + "right": "pull_request:9827", + "accept": false, + "reason": "Different LoRA-related fixes in different contexts; no concrete shared bug." + }, + { + "left": "pull_request:11059", + "right": "pull_request:11843", + "accept": false, + "reason": "Wan LoRA conversion support and Wan VACE exclude_modules tests are separate PRs." + }, + { + "left": "pull_request:11124", + "right": "pull_request:11595", + "accept": false, + "reason": "CogView4 test fix and Flux LoRA load_lora_weights fix do not share the same underlying defect." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 80, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10096", + "pull_request:10544", + "pull_request:11039", + "pull_request:11067", + "pull_request:11238", + "pull_request:11739", + "pull_request:11743", + "pull_request:11765", + "pull_request:11814", + "pull_request:11985", + "pull_request:12269", + "pull_request:12445", + "pull_request:12714", + "pull_request:13126", + "pull_request:13169", + "pull_request:13209", + "pull_request:1788", + "pull_request:2216", + "pull_request:2223", + "pull_request:2928", + "pull_request:2994", + "pull_request:3641", + "pull_request:3691", + "pull_request:3798", + "pull_request:4034", + "pull_request:4223", + "pull_request:4272", + "pull_request:4352", + "pull_request:4373", + "pull_request:4714", + "pull_request:4833", + "pull_request:4886", + "pull_request:5188", + "pull_request:5201", + "pull_request:5298", + "pull_request:6564", + "pull_request:7018", + "pull_request:7096", + "pull_request:7103", + "pull_request:7153", + "pull_request:7161", + "pull_request:7476", + "pull_request:819", + "pull_request:9638", + "pull_request:9662", + "pull_request:9735", + "pull_request:9770" + ], + "soft_pairs": [ + "pull_request:11739|pull_request:11765", + "pull_request:11743|pull_request:11985", + "pull_request:12714|pull_request:13209", + "pull_request:2216|pull_request:2223", + "pull_request:2928|pull_request:4223", + "pull_request:2994|pull_request:3798", + "pull_request:3641|pull_request:4714", + "pull_request:3691|pull_request:4034", + "pull_request:4272|pull_request:4714", + "pull_request:4352|pull_request:4373", + "pull_request:4833|pull_request:5298", + "pull_request:4886|pull_request:7103", + "pull_request:5188|pull_request:7096", + "pull_request:5201|pull_request:7018", + "pull_request:6564|pull_request:7153", + "pull_request:9638|pull_request:9770", + "pull_request:7161|pull_request:7476", + "pull_request:12269|pull_request:12445", + "pull_request:13126|pull_request:13169", + "pull_request:10096|pull_request:11039", + "pull_request:10544|pull_request:11814", + "pull_request:11067|pull_request:9662", + "pull_request:11238|pull_request:9735", + "pull_request:1788|pull_request:819" + ], + "prepared_review_unit_hash": "03eb3144ae9afd67dac145f05b6b598a35c032b256987077efe36aebe07e4e19", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 96077, + "estimated_input_tokens": 24020, + "estimated_eval_tokens": 48296 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab-bag of mostly unrelated PRs. The soft-linked pairs are mostly only thematically similar (same subsystem or same repo area), but they do not fix the same concrete bug/change and would not plausibly be merged as one PR. I reject all soft edges.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR stands out: the items span many unrelated features, fixes, docs, and CI changes with no shared underlying change or bug.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR is suitable because there is no single underlying issue/change unifying this cluster; it is heterogeneous rather than a true duplicate set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11739", + "right": "pull_request:11765", + "accept": false, + "reason": "Both concern LoRA metadata/alpha, but they target different training scripts and model families; not the same change." + }, + { + "left": "pull_request:11743", + "right": "pull_request:11985", + "accept": false, + "reason": "One adds a shortened Flux training script; the other adds Flux Kontext support. Different features, not one bug fix." + }, + { + "left": "pull_request:12714", + "right": "pull_request:13209", + "accept": false, + "reason": "Flux2 LoRA NaN test coverage and Z-Image LoRA conversion are unrelated model-specific changes." + }, + { + "left": "pull_request:2216", + "right": "pull_request:2223", + "accept": false, + "reason": "DifFace pipeline and semantic guidance pipeline are separate pipeline additions with no shared code-path bug." + }, + { + "left": "pull_request:2928", + "right": "pull_request:4223", + "accept": false, + "reason": "Custom local dataset support and ControlNet SDXL training fixes address different issues in different scripts." + }, + { + "left": "pull_request:2994", + "right": "pull_request:3798", + "accept": false, + "reason": "Type-casting bug fix is unrelated to a comment cleanup; not the same underlying change." + }, + { + "left": "pull_request:3641", + "right": "pull_request:4714", + "accept": false, + "reason": "Inpainting latent handling and missing-transformers error messaging are unrelated problems." + }, + { + "left": "pull_request:3691", + "right": "pull_request:4034", + "accept": false, + "reason": "Both mention LoRA, but one changes the text-encoder LoRA processor choice while the other adds unload utility/documentation." + }, + { + "left": "pull_request:4272", + "right": "pull_request:4714", + "accept": false, + "reason": "Optional import fixes are unrelated to the transformers-missing error-message fix." + }, + { + "left": "pull_request:4352", + "right": "pull_request:4373", + "accept": false, + "reason": "Kandinsky combined-pipeline fixes and SDXL resize handling are different pipelines and different bugs." + }, + { + "left": "pull_request:4833", + "right": "pull_request:5298", + "accept": false, + "reason": "Unfuse LoRA state handling and LoRA conv torch.compile compatibility are distinct LoRA issues." + }, + { + "left": "pull_request:4886", + "right": "pull_request:7103", + "accept": false, + "reason": "Stable Diffusion Upscale safety-checker bug and ControlNet image validation bug are unrelated pipeline fixes." + }, + { + "left": "pull_request:5188", + "right": "pull_request:7096", + "accept": false, + "reason": "Adding compute_snr to training utils and ControlNet example enhancements are not the same change." + }, + { + "left": "pull_request:5201", + "right": "pull_request:7018", + "accept": false, + "reason": "xFormers/LoRA processor behavior and gradient-unscaling in advanced LoRA training are different bugs." + }, + { + "left": "pull_request:6564", + "right": "pull_request:7153", + "accept": false, + "reason": "IP Adapter path generation and documentation workflow path filtering are unrelated." + }, + { + "left": "pull_request:9638", + "right": "pull_request:9770", + "accept": false, + "reason": "Both add Xlabs ControlNet support, but they cover different code paths (model/pipeline support vs inpainting pipeline integration) and are not one concrete fix." + }, + { + "left": "pull_request:7161", + "right": "pull_request:7476", + "accept": false, + "reason": "Both involve torch.compile, but one is a PEFT inference example and the other is multi-ControlNet SDXL inpaint behavior." + }, + { + "left": "pull_request:12269", + "right": "pull_request:12445", + "accept": false, + "reason": "Flux Kontext support in modular pipelines and a broader Flux modular alignment refactor are separate changes." + }, + { + "left": "pull_request:13126", + "right": "pull_request:13169", + "accept": false, + "reason": "Z-Image Base distilled LoRA conversion and Flux Klein PEFT LoRA format support are different model/format conversions." + }, + { + "left": "pull_request:10096", + "right": "pull_request:11039", + "accept": false, + "reason": "A stale-labeling CI tweak and a torch_dtype/quantization loading fix are unrelated." + }, + { + "left": "pull_request:10544", + "right": "pull_request:11814", + "accept": false, + "reason": "ParaAttention docs and a Flux gradient-checkpointing attention-kwargs fix are different kinds of changes." + }, + { + "left": "pull_request:11067", + "right": "pull_request:9662", + "accept": false, + "reason": "Benchmark dependency pinning and a test-only transformers version bump are not the same bug or change." + }, + { + "left": "pull_request:11238", + "right": "pull_request:9735", + "accept": false, + "reason": "SD3 ControlNet validation runtime fix and an SD3 ControlNet example update are separate PRs." + }, + { + "left": "pull_request:1788", + "right": "pull_request:819", + "accept": false, + "reason": "Both touch DDIM, but one fixes sample prediction logic while the other fixes timestep dtype on Windows; unrelated bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 81, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10058", + "pull_request:10318", + "pull_request:10750", + "pull_request:10911", + "pull_request:10985", + "pull_request:11179", + "pull_request:11532", + "pull_request:11715", + "pull_request:11786", + "pull_request:11896", + "pull_request:12086", + "pull_request:12277", + "pull_request:12288", + "pull_request:12439", + "pull_request:12714", + "pull_request:12812", + "pull_request:12919", + "pull_request:13055", + "pull_request:13058", + "pull_request:2393", + "pull_request:2721", + "pull_request:2836", + "pull_request:2919", + "pull_request:3859", + "pull_request:4083", + "pull_request:4276", + "pull_request:4498", + "pull_request:4744", + "pull_request:4783", + "pull_request:5015", + "pull_request:5127", + "pull_request:5186", + "pull_request:5396", + "pull_request:5713", + "pull_request:5744", + "pull_request:5887", + "pull_request:5915", + "pull_request:6355", + "pull_request:6573", + "pull_request:6759", + "pull_request:6828", + "pull_request:6946", + "pull_request:7615", + "pull_request:7825", + "pull_request:7932", + "pull_request:8480", + "pull_request:8566", + "pull_request:9770" + ], + "soft_pairs": [ + "pull_request:2836|pull_request:5015", + "pull_request:2919|pull_request:4276", + "pull_request:4498|pull_request:4783", + "pull_request:4498|pull_request:5186", + "pull_request:7825|pull_request:7932", + "pull_request:5713|pull_request:6573", + "pull_request:12086|pull_request:12439", + "pull_request:11532|pull_request:11896", + "pull_request:10750|pull_request:9770", + "pull_request:6355|pull_request:7615", + "pull_request:2393|pull_request:2721", + "pull_request:3859|pull_request:4083", + "pull_request:5127|pull_request:5915", + "pull_request:10058|pull_request:11179", + "pull_request:5396|pull_request:6759", + "pull_request:8480|pull_request:8566", + "pull_request:12812|pull_request:12919", + "pull_request:12277|pull_request:13055", + "pull_request:4744|pull_request:5744", + "pull_request:6828|pull_request:6946", + "pull_request:12288|pull_request:13058", + "pull_request:5887|pull_request:6828", + "pull_request:10318|pull_request:10985", + "pull_request:10911|pull_request:11715", + "pull_request:11786|pull_request:12714" + ], + "prepared_review_unit_hash": "f47173f3ea2aaf2fa25b9e15b475127880fa63161a2dffa1457f668d5b6a5f67", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 107929, + "estimated_input_tokens": 26983, + "estimated_eval_tokens": 54222 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is heterogeneous: most PRs are unrelated docs, tests, or feature additions, and the soft pairs share only broad subsystem similarity. I would reject all soft edges and not designate a single canonical PR for duplicate triage.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:2836", + "right": "pull_request:5015", + "accept": false, + "reason": "Both are doc link fixes, but they target different guides and different broken links; not the same change." + }, + { + "left": "pull_request:2919", + "right": "pull_request:4276", + "accept": false, + "reason": "One speeds up a 3D UNet test, the other adds a pipeline import regression test; unrelated test intents." + }, + { + "left": "pull_request:4498", + "right": "pull_request:4783", + "accept": false, + "reason": "SDXL reference example docs vs SDXL prompt-embedding zeroing docs; different topics and codepaths." + }, + { + "left": "pull_request:4498", + "right": "pull_request:5186", + "accept": false, + "reason": "One adds a community reference pipeline, the other is a FreeU proof-of-concept in core models; not the same change." + }, + { + "left": "pull_request:7825", + "right": "pull_request:7932", + "accept": false, + "reason": "Both touch tests, but for different models and different failures; not one underlying bug." + }, + { + "left": "pull_request:5713", + "right": "pull_request:6573", + "accept": false, + "reason": "Same broad IP-Adapter area, but one introduces the feature and the other adds multi-adapter support; distinct changes." + }, + { + "left": "pull_request:12086", + "right": "pull_request:12439", + "accept": false, + "reason": "Flux modular I2I work versus attention-backend kernel support; completely different code paths." + }, + { + "left": "pull_request:11532", + "right": "pull_request:11896", + "accept": false, + "reason": "HiDream LoRA conversion support vs disabling hooks when loading LoRAs; different problems." + }, + { + "left": "pull_request:10750", + "right": "pull_request:9770", + "accept": false, + "reason": "Both are Flux controlnet-related, but one adds img2img support and the other adds Xlabs inpainting support; 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different pipelines and bugs." + }, + { + "left": "pull_request:3987", + "right": "pull_request:5144", + "accept": false, + "reason": "Audio diffusion code-snippet fix vs BLIP Diffusion sample-code parenthesis fix; both docs-only and unrelated." + }, + { + "left": "pull_request:4211", + "right": "pull_request:5367", + "accept": false, + "reason": "Different SDXL docstring/tutorial corrections touching different pipeline docs and code paths." + }, + { + "left": "pull_request:4762", + "right": "pull_request:6795", + "accept": false, + "reason": "SDXL VAE/example documentation update vs DreamBooth LoRA micro-conditioning support; unrelated scopes." + }, + { + "left": "pull_request:4862", + "right": "pull_request:6578", + "accept": false, + "reason": "ControlNet SDXL MultiControlNet bugfix vs ControlNet docs indentation fix; code bug and docs formatting are not the same change." + }, + { + "left": "pull_request:4934", + "right": "pull_request:6035", + "accept": false, + "reason": "T2I-Adapter training script/docs addition vs DreamBooth LoRA help-text improvement; 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both testing utilities but unrelated failures." + }, + { + "left": "pull_request:5982", + "right": "pull_request:7916", + "accept": false, + "reason": "SDXL Turbo docs vs SDXL NPU training support; different features and targets." + }, + { + "left": "pull_request:6140", + "right": "pull_request:7857", + "accept": false, + "reason": "Both add docs pages/toctree entries, but for different APIs and different underlying features; not duplicates." + }, + { + "left": "pull_request:6216", + "right": "pull_request:6875", + "accept": false, + "reason": "Different LoRA test issues: PEFT 0.7.0 key remapping vs updated IP-Adapter expected outputs." + }, + { + "left": "pull_request:6291", + "right": "pull_request:7335", + "accept": false, + "reason": "LoRA unfusion test assertion change vs ControlNet SDXL config test; unrelated test fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 86, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10589", + "pull_request:10630", + "pull_request:10728", + "pull_request:10970", + "pull_request:11273", + "pull_request:11572", + "pull_request:11715", + "pull_request:12021", + "pull_request:12142", + "pull_request:12143", + "pull_request:12687", + "pull_request:2919", + "pull_request:3214", + "pull_request:3586", + "pull_request:3847", + "pull_request:4099", + "pull_request:4242", + "pull_request:4417", + "pull_request:4629", + "pull_request:4886", + "pull_request:6147", + "pull_request:6342", + "pull_request:6573", + "pull_request:6724", + "pull_request:6808", + "pull_request:6828", + "pull_request:7050", + "pull_request:7124", + "pull_request:7291", + "pull_request:7411", + "pull_request:7487", + "pull_request:7542", + "pull_request:7747", + "pull_request:7827", + "pull_request:7868", + "pull_request:8272", + "pull_request:8490", + "pull_request:8571", + "pull_request:8583", + "pull_request:8630", + "pull_request:8715", + "pull_request:8775", + "pull_request:8860", + "pull_request:9008", + "pull_request:9100", + "pull_request:9257", + "pull_request:9807" + ], + "soft_pairs": [ + "pull_request:6342|pull_request:6724", + "pull_request:6808|pull_request:7542", + "pull_request:7050|pull_request:8571", + "pull_request:7124|pull_request:8715", + "pull_request:7291|pull_request:7411", + "pull_request:7487|pull_request:8715", + "pull_request:7542|pull_request:9100", + "pull_request:7747|pull_request:7868", + "pull_request:7827|pull_request:7868", + "pull_request:8272|pull_request:9008", + "pull_request:8490|pull_request:8775", + "pull_request:8583|pull_request:8630", + "pull_request:8775|pull_request:8860", + "pull_request:9008|pull_request:9100", + "pull_request:9257|pull_request:9807", + "pull_request:11572|pull_request:12021", + "pull_request:10589|pull_request:10728", + "pull_request:6573|pull_request:6828", + "pull_request:10630|pull_request:11715", + "pull_request:10970|pull_request:11273", + "pull_request:12142|pull_request:12687", + "pull_request:12143|pull_request:12687", + "pull_request:2919|pull_request:3847", + "pull_request:3214|pull_request:4886", + "pull_request:3586|pull_request:4417", + "pull_request:4099|pull_request:4629", + "pull_request:4242|pull_request:6147" + ], + "prepared_review_unit_hash": "9133728ef1099a1d9fbdd0ae299cc80573331d1d3627b893a85fa1406a93315f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 27, + "serialized_chars": 96457, + "estimated_input_tokens": 24115, + "estimated_eval_tokens": 48486 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a collection of superficially similar but unrelated PRs (docs typos, test tweaks, and distinct feature/bug fixes). I would reject every soft edge as a duplicate/near-duplicate match.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR is appropriate here: the items span unrelated docs, tests, and feature fixes, so any representative choice would be arbitrary.", + "best_issue_reason": null, + "best_pr_reason": "No PR stands out as a global representative for the cluster because the overlap is only topical/superficial, not the same underlying change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6342", + "right": "pull_request:6724", + "accept": false, + "reason": "Both are docs updates, but one is installation guidance and the other is LoRA rank wording; unrelated changes." + }, + { + "left": "pull_request:6808", + "right": "pull_request:7542", + "accept": false, + "reason": "Both touch tests, but one fixes MPS test collection and the other renames a CPU offload test call; different problems." + }, + { + "left": "pull_request:7050", + "right": "pull_request:8571", + "accept": false, + "reason": "General typo/style cleanup is too broad; these target different docs and different edits." + }, + { + "left": "pull_request:7124", + "right": "pull_request:8715", + "accept": false, + "reason": "Same SDXL DreamBooth area, but one fixes a kwargs call site while the other adds clip_skip support; not the same bug/change." + }, + { + "left": "pull_request:7291", + "right": "pull_request:7411", + "accept": false, + "reason": "Both are typo/errata PRs, but they patch different documents and scheduler text, not one shared issue." + }, + { + "left": "pull_request:7487", + "right": "pull_request:8715", + "accept": false, + "reason": "Both involve SDXL DreamBooth, but one adds full-weight tuning and the other adds clip_skip; different feature work." + }, + { + "left": "pull_request:7542", + "right": "pull_request:9100", + "accept": false, + "reason": "A CPU offload test fix and a text-to-image LoRA typo fix are unrelated." + }, + { + "left": "pull_request:7747", + "right": "pull_request:7868", + "accept": false, + "reason": "Both are test fixes, but one is VAE tiling assertions and the other is offload-device assertions; different code paths." + }, + { + "left": "pull_request:7827", + "right": "pull_request:7868", + "accept": false, + "reason": "Docstring/offload example cleanup is not the same as changing the offload test expectation." + }, + { + "left": "pull_request:8272", + "right": "pull_request:9008", + "accept": false, + "reason": "Both are errata-style edits, but one fixes raise-message grammar across schedulers while the other is broad whitespace/typo cleanup." + }, + { + "left": "pull_request:8490", + "right": "pull_request:8775", + "accept": false, + "reason": "Different README changes: one updates SD3 training text, the other only adds a Colab link." + }, + { + "left": "pull_request:8583", + "right": "pull_request:8630", + "accept": false, + "reason": "One adds XFormers support in SD3 attention processors; the other adds CLIP text-encoder LoRA training. Different functionality." + }, + { + "left": "pull_request:8775", + "right": "pull_request:8860", + "accept": false, + "reason": "A README Colab-link edit and an empty/README update are not the same change." + }, + { + "left": "pull_request:9008", + "right": "pull_request:9100", + "accept": false, + "reason": "Broad typo/whitespace cleanup is not the same as a single typo fix in a training script." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9807", + "accept": false, + "reason": "Different fixes in different subsystems: Flux DreamBooth script logic vs adding AutoencoderKL LoRA adapter support." + }, + { + "left": "pull_request:11572", + "right": "pull_request:12021", + "accept": false, + "reason": "Both mention LTX, but one adds non-diffusers LTX LoRA conversion and the other adds attention backend support; unrelated changes." + }, + { + "left": "pull_request:10589", + "right": "pull_request:10728", + "accept": false, + "reason": "Both mention IP-Adapter, but one adds SD3 Img2Img support and the other adjusts quantized Flux loading; different code paths." + }, + { + "left": "pull_request:6573", + "right": "pull_request:6828", + "accept": false, + "reason": "Both are IP-Adapter related, but one supports multiple adapters while the other changes UNetMotionModel integration; not the same fix." + }, + { + "left": "pull_request:10630", + "right": "pull_request:11715", + "accept": false, + "reason": "One updates a failing flax scheduler test slice; the other adds bitsandbytes version guards to quantization compile tests." + }, + { + "left": "pull_request:10970", + "right": "pull_request:11273", + "accept": false, + "reason": "Both are workflow/automation changes, but they fix different bots and different scripts." + }, + { + "left": "pull_request:12142", + "right": "pull_request:12687", + "accept": false, + "reason": "A Wan VACE bf16/fp16 mask-cast fix is unrelated to an autoencoder naming typo." + }, + { + "left": "pull_request:12143", + "right": "pull_request:12687", + "accept": false, + "reason": "Same as above: Wan VACE precision fix vs autoencoder typo correction are unrelated." + }, + { + "left": "pull_request:2919", + "right": "pull_request:3847", + "accept": false, + "reason": "Both touch test infrastructure, but one speeds up a model test and the other adds dependency checks; different intents." + }, + { + "left": "pull_request:3214", + "right": "pull_request:4886", + "accept": false, + "reason": "These fix unrelated bugs in different components: attention reshape logic vs safety checker preprocessing." + }, + { + "left": "pull_request:3586", + "right": "pull_request:4417", + "accept": false, + "reason": "Community pipeline support and Zero123 support are different feature additions with no shared underlying change." + }, + { + "left": "pull_request:4099", + "right": "pull_request:4629", + "accept": false, + "reason": "Both touch SDXL-related pipelines, but one fixes prompt embedding duplication and the other adds a long weighted prompt pipeline; not the same bug." + }, + { + "left": "pull_request:4242", + "right": "pull_request:6147", + "accept": false, + "reason": "Both concern single-file loading, but one allows VAE loading generally while the other fixes SDXL inpainting/refiner argument wiring." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 87, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10318", + "pull_request:10431", + "pull_request:10517", + "pull_request:10547", + "pull_request:10810", + "pull_request:11524", + "pull_request:12420", + "pull_request:12782", + "pull_request:13039", + "pull_request:13330", + "pull_request:1977", + "pull_request:2464", + "pull_request:2655", + "pull_request:406", + "pull_request:453", + "pull_request:4666", + "pull_request:4787", + "pull_request:4847", + "pull_request:5015", + "pull_request:5499", + "pull_request:5559", + "pull_request:5698", + "pull_request:5738", + "pull_request:5887", + "pull_request:5928", + "pull_request:6208", + "pull_request:6217", + "pull_request:6489", + "pull_request:6523", + "pull_request:6673", + "pull_request:6721", + "pull_request:6752", + "pull_request:6757", + "pull_request:689", + "pull_request:6904", + "pull_request:7016", + "pull_request:7186", + "pull_request:7246", + "pull_request:7507", + "pull_request:7820", + "pull_request:823", + "pull_request:8564", + "pull_request:8696", + "pull_request:8749", + "pull_request:9021", + "pull_request:9244", + "pull_request:9682", + "pull_request:9696" + ], + "soft_pairs": [ + "pull_request:4666|pull_request:5738", + "pull_request:6208|pull_request:6904", + "pull_request:6217|pull_request:7246", + "pull_request:6721|pull_request:6757", + "pull_request:689|pull_request:823", + "pull_request:5887|pull_request:7820", + "pull_request:5887|pull_request:7186", + "pull_request:5559|pull_request:6673", + "pull_request:5887|pull_request:7016", + "pull_request:10431|pull_request:10517", + "pull_request:10547|pull_request:9696", + "pull_request:11524|pull_request:12420", + "pull_request:1977|pull_request:2464", + "pull_request:2655|pull_request:4787", + "pull_request:406|pull_request:453", + "pull_request:5015|pull_request:5499", + "pull_request:5559|pull_request:7507", + "pull_request:5698|pull_request:6523", + "pull_request:5928|pull_request:6489", + "pull_request:8749|pull_request:9021", + "pull_request:4847|pull_request:5559", + "pull_request:6489|pull_request:6752", + "pull_request:8564|pull_request:9682", + "pull_request:10318|pull_request:8696", + "pull_request:10810|pull_request:9244", + "pull_request:12782|pull_request:13330", + "pull_request:13039|pull_request:13330" + ], + "prepared_review_unit_hash": "63394693f3674c15c5ea2d1cc1940376f5a6cb682b16f8f1ef589fb439eacff9", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 96639, + "estimated_input_tokens": 24160, + "estimated_eval_tokens": 48576 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the soft pairs mostly connect superficially similar PRs (same subsystem, same file, or both tests/docs) but they fix different bugs or add different features. I would reject all soft edges and avoid picking a single canonical artifact.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "If a representative PR is required, 10810 is the strongest candidate because it is a substantive core code change in LoRA conversion rather than a test/doc-only tweak; however, the set is too mixed to treat it as a true duplicate cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4666", + "right": "pull_request:5738", + "accept": false, + "reason": "Both are LoRA-related, but one adds SDXL ControlNet LoRA support and the other adds adapter deletion; different code paths and goals." + }, + { + "left": "pull_request:6208", + "right": "pull_request:6904", + "accept": false, + "reason": "One fixes VAE dtype mismatch in Stable Diffusion; the other makes load_image accept PIL images. Unrelated bugs." + }, + { + "left": "pull_request:6217", + "right": "pull_request:7246", + "accept": false, + "reason": "Both are test/device adjustments, but for different pipelines and failure modes; not the same underlying fix." + }, + { + "left": "pull_request:6721", + "right": "pull_request:6757", + "accept": false, + "reason": "AnimateDiff SDXL support vs moving k-diffusion sigmas to device; different issues and code paths." + }, + { + "left": "pull_request:689", + "right": "pull_request:823", + "accept": false, + "reason": "Both mention test failures, but one rewrites attention math and the other fixes prompt type handling across pipelines." + }, + { + "left": "pull_request:5887", + "right": "pull_request:7820", + "accept": false, + "reason": "Both touch IP-Adapter support, but one adds it to ControlNet Inpaint while the other fixes InstructPix2Pix handling. Different concrete changes." + }, + { + "left": "pull_request:5887", + "right": "pull_request:7186", + "accept": false, + "reason": "Face ID core refactor is unrelated to ControlNet Inpaint IP-Adapter support." + }, + { + "left": "pull_request:5559", + "right": "pull_request:6673", + "accept": false, + "reason": "One adds LCM Img2Img; the other adds InstantID SDXL Img2Img. Same broad area, different pipelines and features." + }, + { + "left": "pull_request:5887", + "right": "pull_request:7016", + "accept": false, + "reason": "7016 is a broad IP-Adapter refactor across many pipelines; 5887 is a specific ControlNet Inpaint integration. Not the same change." + }, + { + "left": "pull_request:10431", + "right": "pull_request:10517", + "accept": false, + "reason": "Both are Sana-related, but one fixes a 1k positional-embedding issue and the other a 4K pag pipeline bug. Different bugs." + }, + { + "left": "pull_request:10547", + "right": "pull_request:9696", + "accept": false, + "reason": "One adjusts model offload test split percentages; the other fixes a test workflow script. No shared underlying bug." + }, + { + "left": "pull_request:11524", + "right": "pull_request:12420", + "accept": false, + "reason": "Both conditionally import optional modules, but one is for torchvision in Cosmos and the other for torch.distributed collectives. Different dependencies and failure modes." + }, + { + "left": "pull_request:1977", + "right": "pull_request:2464", + "accept": false, + "reason": "These are unrelated example/script and training changes; no common bug or feature." + }, + { + "left": "pull_request:2655", + "right": "pull_request:4787", + "accept": false, + "reason": "Both modify LoRA loading, but 2655 fixes save/load behavior while 4787 tightens file-name filtering. Separate issues." + }, + { + "left": "pull_request:406", + "right": "pull_request:453", + "accept": false, + "reason": "Two unrelated documentation typo fixes in different files." + }, + { + "left": "pull_request:5015", + "right": "pull_request:5499", + "accept": false, + "reason": "Both are docs link fixes, but they patch different broken links across different pages; not the same change." + }, + { + "left": "pull_request:5559", + "right": "pull_request:7507", + "accept": false, + "reason": "Different community pipelines: LCM Img2Img vs InstantID SDXL Img2Img." + }, + { + "left": "pull_request:5698", + "right": "pull_request:6523", + "accept": false, + "reason": "LCM Img2Img pipeline fix vs LCM distillation script configuration fix; related theme, but different code paths." + }, + { + "left": "pull_request:5928", + "right": "pull_request:6489", + "accept": false, + "reason": "Both touch community/docs content, but one adds AnimateDiff+ControlNet while the other adds StyleAligned. Different features." + }, + { + "left": "pull_request:8749", + "right": "pull_request:9021", + "accept": false, + "reason": "Both are SD3 ControlNet from_transformer changes, but 8749 adds the method and 9021 changes num_layers handling later. Follow-up, not duplicate." + }, + { + "left": "pull_request:4847", + "right": "pull_request:5559", + "accept": false, + "reason": "Prompt Free Diffusion community example vs LCM Img2Img pipeline; unrelated projects." + }, + { + "left": "pull_request:6489", + "right": "pull_request:6752", + "accept": false, + "reason": "Both are community/research additions, but they add different pipelines with different purposes." + }, + { + "left": "pull_request:8564", + "right": "pull_request:9682", + "accept": false, + "reason": "Both are SD3 training-related, but one updates T5 token limit docs/scripts and the other adds dreambooth-lora bug fixes and a latent caching test." + }, + { + "left": "pull_request:10318", + "right": "pull_request:8696", + "accept": false, + "reason": "One adds Flux LoRA integration tests; the other marks Marigold depth tests flaky. Different test areas and failures." + }, + { + "left": "pull_request:10810", + "right": "pull_request:9244", + "accept": false, + "reason": "Flux LoRA conversion fixes vs adding single-file Flux pipeline support; distinct features in the same ecosystem." + }, + { + "left": "pull_request:12782", + "right": "pull_request:13330", + "accept": false, + "reason": "Offloading test split percentages vs torchao quantization test fixes/workflow changes. Different problems." + }, + { + "left": "pull_request:13039", + "right": "pull_request:13330", + "accept": false, + "reason": "CPU upcasting fix in WAN animate vs torchao quantization test fixes. Not the same bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 88, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10378", + "pull_request:10750", + "pull_request:10943", + "pull_request:11655", + "pull_request:12055", + "pull_request:12063", + "pull_request:12383", + "pull_request:13237", + "pull_request:1788", + "pull_request:2009", + "pull_request:2415", + "pull_request:2915", + "pull_request:3294", + "pull_request:3339", + "pull_request:343", + "pull_request:349", + "pull_request:4397", + "pull_request:4499", + "pull_request:4706", + "pull_request:473", + "pull_request:4749", + "pull_request:4761", + "pull_request:4855", + "pull_request:5506", + "pull_request:5668", + "pull_request:5697", + "pull_request:5823", + "pull_request:5880", + "pull_request:5915", + "pull_request:5943", + "pull_request:6231", + "pull_request:6752", + "pull_request:6757", + "pull_request:6952", + "pull_request:7153", + "pull_request:7156", + "pull_request:7627", + "pull_request:7692", + "pull_request:7790", + "pull_request:7820", + "pull_request:8452", + "pull_request:8902", + "pull_request:8913", + "pull_request:8932", + "pull_request:9060", + "pull_request:9244", + "pull_request:9257", + "pull_request:9662" + ], + "soft_pairs": [ + "pull_request:1788|pull_request:473", + "pull_request:2415|pull_request:3339", + "pull_request:2915|pull_request:4761", + "pull_request:343|pull_request:349", + "pull_request:4397|pull_request:4749", + "pull_request:4499|pull_request:5943", + "pull_request:4855|pull_request:5697", + "pull_request:5506|pull_request:6231", + "pull_request:5697|pull_request:5823", + "pull_request:6952|pull_request:9060", + "pull_request:7153|pull_request:8913", + "pull_request:7156|pull_request:9257", + "pull_request:8452|pull_request:9244", + "pull_request:8932|pull_request:9662", + "pull_request:12383|pull_request:13237", + "pull_request:5915|pull_request:7820", + "pull_request:10378|pull_request:10943", + "pull_request:2009|pull_request:3294", + "pull_request:4706|pull_request:5697", + "pull_request:6757|pull_request:7790", + "pull_request:7627|pull_request:8902", + "pull_request:12055|pull_request:12063", + "pull_request:5668|pull_request:5880", + "pull_request:6752|pull_request:7692", + "pull_request:10750|pull_request:11655" + ], + "prepared_review_unit_hash": "dbf7482a7b2665e97b728106c8955a5356c60974a6382919a1992caec9b2c2e5", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 100025, + "estimated_input_tokens": 25007, + "estimated_eval_tokens": 50270 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is not a true duplicate cluster: the PRs span unrelated changes across schedulers, loaders, pipelines, docs, tests, and model additions. 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"pull_request:10941|pull_request:11595", + "pull_request:10978|pull_request:11600", + "pull_request:10978|pull_request:12228", + "pull_request:10990|pull_request:9598", + "pull_request:10990|pull_request:9705", + "pull_request:10998|pull_request:11778", + "pull_request:11027|pull_request:9765", + "pull_request:11029|pull_request:11257", + "pull_request:11029|pull_request:11701", + "pull_request:1103|pull_request:260", + "pull_request:1103|pull_request:43", + "pull_request:11037|pull_request:11558", + "pull_request:11037|pull_request:11954" + ], + "prepared_review_unit_hash": "724fc7c441a00b4ca95d247913900c5e7cc636fa1ef1524b6593ecd0e2199f60", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 32, + "serialized_chars": 90928, + "estimated_input_tokens": 22732, + 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I don\u2019t see any true duplicate PR pairs here, so all soft edges should be rejected.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a clear duplicate anchor for this cluster; the items span unrelated docs, CI, and code changes. If one must be chosen, the most substantive standalone bugfix is 10990, but it is not representative of the whole cluster.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:10990 is the strongest self-contained bugfix in the set: it has an explicit issue target, touches concrete LoRA/quantization code paths, and includes test coverage. It is the best representative artifact if a single PR must be picked.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10420", + "right": "pull_request:10524", + "accept": false, + "reason": "Different docs fixes for different pipelines/checkpoints; no shared bug or change." + }, + { + "left": "pull_request:10420", + "right": "pull_request:11271", + "accept": false, + "reason": "LTX checkpoint doc edit vs single-file checkpoint mapping/code; unrelated artifacts." + }, + { + "left": "pull_request:10494", + "right": "pull_request:11802", + "accept": false, + "reason": "CI tokenizers install tweak vs LoRA deprecation cleanup; different subsystems and problems." + }, + { + "left": "pull_request:10524", + "right": "pull_request:10858", + "accept": false, + "reason": "Different docs targets: Hunyuan checkpoint text vs I2VGen overview classification." + }, + { + "left": "pull_request:10531", + "right": "pull_request:8947", + "accept": false, + "reason": "Docs for negative prompts vs latent-upscale prompt-embed support; not the same change." + }, + { + "left": "pull_request:10531", + "right": "pull_request:9066", + "accept": false, + "reason": "Pipeline docstring cleanup vs new StableCascade UNet docs; unrelated documentation work." + }, + { + "left": "pull_request:10544", + "right": "pull_request:9473", + "accept": false, + "reason": "New optimization docs vs Dreambooth training LR bugfix; different features and code paths." + }, + { + "left": "pull_request:10585", + "right": "pull_request:10678", + "accept": false, + "reason": "Mochi VAE annotation cleanup vs AuraFlow input validation bugfix; unrelated fixes." + }, + { + "left": "pull_request:10585", + "right": "pull_request:10998", + "accept": false, + "reason": "Mochi VAE type annotation vs Wan VAE scaling logic; different models and issues." + }, + { + "left": "pull_request:10585", + "right": "pull_request:8965", + "accept": false, + "reason": "Pipeline type annotation/docs cleanup vs pipeline instantiation rename; not the same underlying change." + }, + { + "left": "pull_request:10632", + "right": "pull_request:11857", + "accept": false, + "reason": "ParaAttention image path fix vs Flux pipeline doc references; separate docs edits." + }, + { + "left": "pull_request:10648", + "right": "pull_request:11851", + "accept": false, + "reason": "DDPM scheduler docs addition vs scheduler dtype note; unrelated documentation updates." + }, + { + "left": "pull_request:10678", + "right": "pull_request:11778", + "accept": false, + "reason": "AuraFlow input-divisibility validation vs Wan VACE mask padding; different code paths and bugs." + }, + { + "left": "pull_request:10678", + "right": "pull_request:9765", + "accept": false, + "reason": "AuraFlow runtime validation fix vs SD3 docstring typo fix; no overlap." + }, + { + "left": "pull_request:10730", + "right": "pull_request:9473", + "accept": false, + "reason": "Hook-removal unwrap bug vs Dreambooth optimizer LR fix; separate implementation areas." + }, + { + "left": "pull_request:10802", + "right": "pull_request:11473", + "accept": false, + "reason": "Comment typo in example script vs torchao quantization docs typo; unrelated edits." + }, + { + "left": "pull_request:10819", + "right": "pull_request:11747", + "accept": false, + "reason": "LoRA docs index additions vs HiDream license header addition; different maintenance tasks." + }, + { + "left": "pull_request:1087", + "right": "pull_request:268", + "accept": false, + "reason": "Slow-test/config handling fix vs VAE generator support and expected-results updates; not the same change." + }, + { + "left": "pull_request:10885", + "right": "pull_request:11851", + "accept": false, + "reason": "CogVideoX scheduler docs addition vs schedulers.md note on dtype handling; different docs topics." + }, + { + "left": "pull_request:10941", + "right": "pull_request:11595", + "accept": false, + "reason": "Flux IP-adapter length check fix vs LoRA weight-loading logic; distinct bugs and files." + }, + { + "left": "pull_request:10978", + "right": "pull_request:11600", + "accept": false, + "reason": "LoRA conversion edge case fix vs CI failure-report filename change; unrelated." + }, + { + "left": "pull_request:10978", + "right": "pull_request:12228", + "accept": false, + "reason": "LoRA conversion bugfix vs tutorial typo cleanup; different scope and purpose." + }, + { + "left": "pull_request:10990", + "right": "pull_request:9598", + "accept": false, + "reason": "Flux quantized LoRA code fix vs Flux LoRA test-note update; one is functional, the other is test metadata." + }, + { + "left": "pull_request:10990", + "right": "pull_request:9705", + "accept": false, + "reason": "Flux quantized LoRA logic vs README wording update; not the same underlying bug." + }, + { + "left": "pull_request:10998", + "right": "pull_request:11778", + "accept": false, + "reason": "Wan VAE scaling move vs Wan VACE mask padding; separate Wan pipeline bugs." + }, + { + "left": "pull_request:11027", + "right": "pull_request:9765", + "accept": false, + "reason": "IP-Adapter feature-extractor placement fix vs SD3 docstring typo; unrelated." + }, + { + "left": "pull_request:11029", + "right": "pull_request:11257", + "accept": false, + "reason": "Style-bot workflow command change vs style-bot token secret swap; same file but different configuration changes." + }, + { + "left": "pull_request:11029", + "right": "pull_request:11701", + "accept": false, + "reason": "Style-bot workflow command change vs later token-secret swap; different fixes to the same workflow." + }, + { + "left": "pull_request:1103", + "right": "pull_request:260", + "accept": false, + "reason": "Different README typo fixes in different examples; not a duplicate change." + }, + { + "left": "pull_request:1103", + "right": "pull_request:43", + "accept": false, + "reason": "Textual inversion README URL fix vs early model-card-template addition; unrelated." + }, + { + "left": "pull_request:11037", + "right": "pull_request:11558", + "accept": false, + "reason": "Quantization CI dependency setup vs group-offloading/layerwise-casting tests; different concerns." + }, + { + "left": "pull_request:11037", + "right": "pull_request:11954", + "accept": false, + "reason": "Quantization test-environment changes vs Hunyuan Video test slices; unrelated test maintenance." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 91, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1104", + "pull_request:11053", + "pull_request:11099", + "pull_request:11187", + "pull_request:1123", + "pull_request:11259", + "pull_request:11262", + "pull_request:113", + "pull_request:1130", + "pull_request:1131", + "pull_request:11325", + "pull_request:11365", + "pull_request:11386", + "pull_request:11391", + "pull_request:11416", + "pull_request:11434", + "pull_request:11439", + "pull_request:11473", + "pull_request:11476", + "pull_request:11558", + "pull_request:1157", + "pull_request:11576", + "pull_request:1162", + "pull_request:11731", + "pull_request:11920", + "pull_request:11955", + "pull_request:11983", + "pull_request:12018", + "pull_request:12230", + "pull_request:12247", + "pull_request:12360", + "pull_request:12391", + "pull_request:12487", + "pull_request:12552", + "pull_request:1394", + "pull_request:1561", + "pull_request:1640", + "pull_request:1769", + "pull_request:2010", + "pull_request:2257", + "pull_request:2766", + "pull_request:531", + "pull_request:60", + "pull_request:688", + "pull_request:715", + "pull_request:874", + "pull_request:9760" + ], + "soft_pairs": [ + "pull_request:1104|pull_request:2766", + "pull_request:11053|pull_request:11187", + "pull_request:11099|pull_request:11259", + "pull_request:11187|pull_request:11920", + "pull_request:1123|pull_request:1640", + "pull_request:1123|pull_request:715", + "pull_request:11262|pull_request:11434", + "pull_request:113|pull_request:1769", + "pull_request:113|pull_request:2010", + "pull_request:113|pull_request:531", + "pull_request:113|pull_request:60", + "pull_request:1130|pull_request:2257", + "pull_request:1131|pull_request:1394", + "pull_request:11325|pull_request:12018", + "pull_request:11365|pull_request:12230", + "pull_request:11386|pull_request:11983", + "pull_request:11386|pull_request:9760", + "pull_request:11391|pull_request:11983", + "pull_request:11416|pull_request:12487", + "pull_request:11439|pull_request:12247", + "pull_request:11473|pull_request:12360", + "pull_request:11473|pull_request:12391", + "pull_request:11476|pull_request:12552", + "pull_request:11558|pull_request:11920", + "pull_request:11558|pull_request:11955", + "pull_request:1157|pull_request:688", + "pull_request:11576|pull_request:11731", + "pull_request:1162|pull_request:1561", + "pull_request:1162|pull_request:874" + ], + "prepared_review_unit_hash": "d35e7614e71e25fb6115f477ec1700e059ef22477cb2c227097f5384257e2f49", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 29, + "serialized_chars": 93239, + "estimated_input_tokens": 23310, + "estimated_eval_tokens": 46876 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a false-positive cluster: the PRs span unrelated CI, docs, typo fixes, version bumps, model code, and tests, with no shared underlying bug or change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the items are heterogeneous maintenance changes across different subsystems, so there is no single underlying fix to anchor the cluster.", + "best_issue_reason": null, + "best_pr_reason": "No PR is a strong representative because the cluster does not describe one coherent change; the overlap is only superficial title/wording similarity.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1104", + "right": "pull_request:2766", + "accept": false, + "reason": "Unrelated CI workflow for slow MPS tests vs MPS-specific UNet test adjustments; different problems and code paths." + }, + { + "left": "pull_request:11053", + "right": "pull_request:11187", + "accept": false, + "reason": "Wan Video2Video feature addition vs adding CacheMixin to Wan/LTX transformers; feature work, not the same fix." + }, + { + "left": "pull_request:11099", + "right": "pull_request:11259", + "accept": false, + "reason": "PR GPU test gating/styling workflow vs a dummy styling-bot trigger PR; no shared code change." + }, + { + "left": "pull_request:11187", + "right": "pull_request:11920", + "accept": false, + "reason": "CacheMixin plumbing for Wan/LTX transformers vs Wan test slices; implementation change vs test update." + }, + { + "left": "pull_request:1123", + "right": "pull_request:1640", + "accept": false, + "reason": "MPS docs update vs xformers training enablement; different subsystems and purposes." + }, + { + "left": "pull_request:1123", + "right": "pull_request:715", + "accept": false, + "reason": "PyTorch nightlies docs vs import guard for missing PyTorch; unrelated documentation vs runtime import fix." + }, + { + "left": "pull_request:11262", + "right": "pull_request:11434", + "accept": false, + "reason": "Wan ftfy import guard vs test import cleanup; different files and unrelated fixes." + }, + { + "left": "pull_request:113", + "right": "pull_request:1769", + "accept": false, + "reason": "SDE-VE scheduler initialization fix vs UnCLIP CPU offload test adjustment; different models and issues." + }, + { + "left": "pull_request:113", + "right": "pull_request:2010", + "accept": false, + "reason": "SDE-VE scheduler init fix vs unconditional training LR scheduler fix; separate scheduler bugs." + }, + { + "left": "pull_request:113", + "right": "pull_request:531", + "accept": false, + "reason": "Scheduler initialization bug vs GPU test expectation update; unrelated change types." + }, + { + "left": "pull_request:113", + "right": "pull_request:60", + "accept": false, + "reason": "SDE-VE scheduler init fix vs UNet/resnet architecture fix; different code paths and model families." + }, + { + "left": "pull_request:1130", + "right": "pull_request:2257", + "accept": false, + "reason": "LPW Stable Diffusion community pipeline update vs UnCLIP text interpolation community pipeline; different pipelines, not the same change." + }, + { + "left": "pull_request:1131", + "right": "pull_request:1394", + "accept": false, + "reason": "Version bump to 0.8.0.dev0 vs version bump to 0.9.0.dev0; same file type but different releases and times." + }, + { + "left": "pull_request:11325", + "right": "pull_request:12018", + "accept": false, + "reason": "HiDream docstring replacement vs quantization overview terminology link fix; unrelated docs changes." + }, + { + "left": "pull_request:11365", + "right": "pull_request:12230", + "accept": false, + "reason": "Wan FLF2V conversion script flow_shift tweak vs Wan docs title/name cleanup; different artifact types and goals." + }, + { + "left": "pull_request:11386", + "right": "pull_request:11983", + "accept": false, + "reason": "HiDream README requirement fix vs installation docs command fix; separate docs updates for different topics." + }, + { + "left": "pull_request:11386", + "right": "pull_request:9760", + "accept": false, + "reason": "HiDream README requirement fix vs general README wording cleanup; not the same documentation issue." + }, + { + "left": "pull_request:11391", + "right": "pull_request:11983", + "accept": false, + "reason": "Empty/no-op PR vs installation docs update; no shared underlying change." + }, + { + "left": "pull_request:11416", + "right": "pull_request:12487", + "accept": false, + "reason": "Docs typo cleanup across many pages vs broken-link fixes across loader/training docs; both docs-only but not the same concrete change." + }, + { + "left": "pull_request:11439", + "right": "pull_request:12247", + "accept": false, + "reason": "Hi-Dream LoRA validation bug fix vs AutoGuidance validation fix; different validation logic in different components." + }, + { + "left": "pull_request:11473", + "right": "pull_request:12360", + "accept": false, + "reason": "torchao fp8 doc typo vs Chroma guidance docs rewrite; different documentation areas and subjects." + }, + { + "left": "pull_request:11473", + "right": "pull_request:12391", + "accept": false, + "reason": "torchao fp8 doc typo vs quantization section reorganization; related broad domain, but not the same change." + }, + { + "left": "pull_request:11476", + "right": "pull_request:12552", + "accept": false, + "reason": "General typos/strings cleanup across many files vs Kandinsky5 typo cleanup; both docs/tests but not one underlying fix." + }, + { + "left": "pull_request:11558", + "right": "pull_request:11920", + "accept": false, + "reason": "Layerwise casting + group offloading test addition vs Wan test slices; unrelated test additions for different subsystems." + }, + { + "left": "pull_request:11558", + "right": "pull_request:11955", + "accept": false, + "reason": "Layerwise casting/group offloading tests vs Cosmos test slices; different pipelines and test targets." + }, + { + "left": "pull_request:1157", + "right": "pull_request:688", + "accept": false, + "reason": "Flax training/reporting fix vs Flax import-without-PyTorch fix; separate issues despite both involving Flax." + }, + { + "left": "pull_request:11576", + "right": "pull_request:11731", + "accept": false, + "reason": "Memory docs tip about quantization/offloading vs later tip about compile+offload; same page but distinct guidance changes." + }, + { + "left": "pull_request:1162", + "right": "pull_request:1561", + "accept": false, + "reason": "Community pipeline link fix vs Stable Diffusion Mega community pipeline implementation; link cleanup is not the same as adding the pipeline." + }, + { + "left": "pull_request:1162", + "right": "pull_request:874", + "accept": false, + "reason": "Community pipeline link fix vs generic community README inference example; both docs, but different content and intent." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 92, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11623", + "pull_request:11673", + "pull_request:11693", + "pull_request:11697", + "pull_request:1171", + "pull_request:11731", + "pull_request:11737", + "pull_request:1174", + "pull_request:11740", + "pull_request:1178", + "pull_request:1186", + "pull_request:1187", + "pull_request:11891", + "pull_request:1194", + "pull_request:11954", + "pull_request:11983", + "pull_request:11993", + "pull_request:12069", + "pull_request:12070", + "pull_request:1210", + "pull_request:12129", + "pull_request:1218", + "pull_request:12183", + "pull_request:12193", + "pull_request:1221", + "pull_request:12228", + "pull_request:12233", + "pull_request:12343", + "pull_request:12675", + "pull_request:12681", + "pull_request:12731", + "pull_request:12757", + "pull_request:12971", + "pull_request:1487", + "pull_request:1989", + "pull_request:2433", + "pull_request:2598", + "pull_request:260", + "pull_request:268", + "pull_request:3012", + "pull_request:353", + "pull_request:407", + "pull_request:61", + "pull_request:63", + "pull_request:688", + "pull_request:798", + "pull_request:972" + ], + "soft_pairs": [ + "pull_request:11623|pull_request:12129", + "pull_request:11623|pull_request:12228", + "pull_request:11623|pull_request:12343", + "pull_request:11623|pull_request:12675", + "pull_request:11673|pull_request:11737", + "pull_request:11693|pull_request:12183", + "pull_request:11697|pull_request:11740", + "pull_request:1171|pull_request:260", + "pull_request:1171|pull_request:353", + "pull_request:1171|pull_request:407", + "pull_request:1171|pull_request:798", + "pull_request:1171|pull_request:972", + "pull_request:11731|pull_request:12183", + "pull_request:11731|pull_request:12233", + "pull_request:1174|pull_request:1487", + "pull_request:1174|pull_request:2433", + "pull_request:1174|pull_request:61", + "pull_request:1174|pull_request:63", + "pull_request:1178|pull_request:260", + "pull_request:1178|pull_request:3012", + "pull_request:1178|pull_request:353", + "pull_request:1186|pull_request:688", + "pull_request:1187|pull_request:688", + "pull_request:11891|pull_request:11983", + "pull_request:1194|pull_request:1221", + "pull_request:11954|pull_request:12070", + "pull_request:11993|pull_request:12183", + "pull_request:12069|pull_request:12681", + "pull_request:1210|pull_request:268", + "pull_request:1218|pull_request:1989", + "pull_request:12193|pull_request:12731", + "pull_request:12193|pull_request:12757", + "pull_request:12193|pull_request:12971", + "pull_request:1221|pull_request:2598" + ], + "prepared_review_unit_hash": "5fc88e91429bd88685e89846fa013cfd43cd245c2e7e8ec9a18aeadc4e57a26c", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 34, + "serialized_chars": 92373, + "estimated_input_tokens": 23094, + "estimated_eval_tokens": 46444 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is a loose grab-bag of unrelated typo fixes, docs edits, compile/offload docs, test updates, and a few code fixes; 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not the same bug." + }, + { + "left": "pull_request:11693", + "right": "pull_request:12183", + "accept": false, + "reason": "Different documentation additions for different topics and files." + }, + { + "left": "pull_request:11697", + "right": "pull_request:11740", + "accept": false, + "reason": "Both add compile tests, but for different quantization backends and models." + }, + { + "left": "pull_request:1171", + "right": "pull_request:260", + "accept": false, + "reason": "Both are typo fixes, but in unrelated docs and with no shared underlying issue." + }, + { + "left": "pull_request:1171", + "right": "pull_request:353", + "accept": false, + "reason": "Completely different typo in a UNet error message vs broad docs typos." + }, + { + "left": "pull_request:1171", + "right": "pull_request:407", + "accept": false, + "reason": "Stable Diffusion docs typo fix vs attention slicing API change; not the same change." + }, + { + "left": "pull_request:1171", + "right": "pull_request:798", + "accept": false, + "reason": "Different typo fix in a model docstring, not the same artifact or bug." + }, + { + "left": "pull_request:1171", + "right": "pull_request:972", + "accept": false, + "reason": "Unrelated typo in a README parameter name." + }, + { + "left": "pull_request:11731", + "right": "pull_request:12183", + "accept": false, + "reason": "Both are docs, but one adds compile/offload guidance while the other adds a LoRA badge." + }, + { + "left": "pull_request:11731", + "right": "pull_request:12233", + "accept": false, + "reason": "Related topic, but one adds a tip and the other renames a section; 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unrelated." + }, + { + "left": "pull_request:12069", + "right": "pull_request:12681", + "accept": false, + "reason": "AudioLDM2 runtime fix plus tests vs CI CPU test cleanup; not the same concrete issue." + }, + { + "left": "pull_request:1210", + "right": "pull_request:268", + "accept": false, + "reason": "Both affect slow tests, but they fix different pipelines and different determinism issues." + }, + { + "left": "pull_request:1218", + "right": "pull_request:1989", + "accept": false, + "reason": "Same conversion script file, but different enhancements and different underlying changes." + }, + { + "left": "pull_request:12193", + "right": "pull_request:12731", + "accept": false, + "reason": "README path fix vs Bria Fibo docs edits; unrelated." + }, + { + "left": "pull_request:12193", + "right": "pull_request:12757", + "accept": false, + "reason": "README path fix vs attention-backends formatting/docs; unrelated." + }, + { + "left": "pull_request:12193", + "right": "pull_request:12971", + "accept": false, + "reason": "README path fix vs distributed inference docs reorganization; unrelated." + }, + { + "left": "pull_request:1221", + "right": "pull_request:2598", + "accept": false, + "reason": "Weight-reuse docs vs PaintByExample docs correction; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 93, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:12247", + "pull_request:1227", + "pull_request:12272", + "pull_request:1230", + "pull_request:12307", + "pull_request:12343", + "pull_request:12387", + "pull_request:12416", + "pull_request:12479", + "pull_request:12487", + "pull_request:12552", + "pull_request:12618", + "pull_request:12675", + "pull_request:12731", + "pull_request:12757", + "pull_request:12775", + "pull_request:1282", + "pull_request:12890", + "pull_request:12971", + "pull_request:12980", + "pull_request:12984", + "pull_request:13040", + "pull_request:13076", + "pull_request:13082", + "pull_request:13115", + "pull_request:13135", + "pull_request:13158", + "pull_request:13174", + "pull_request:13181", + "pull_request:1319", + "pull_request:13253", + "pull_request:13294", + "pull_request:13344", + "pull_request:13368", + "pull_request:13369", + "pull_request:13382", + "pull_request:13400", + "pull_request:13499", + "pull_request:1751", + "pull_request:2175", + "pull_request:2362", + "pull_request:2587", + "pull_request:2624", + "pull_request:2836", + "pull_request:3079", + "pull_request:421", + "pull_request:429", + "pull_request:500" + ], + "soft_pairs": [ + "pull_request:12247|pull_request:12272", + "pull_request:1227|pull_request:2175", + "pull_request:1227|pull_request:2587", + "pull_request:1227|pull_request:2624", + "pull_request:1227|pull_request:429", + "pull_request:1227|pull_request:500", + "pull_request:1230|pull_request:1751", + "pull_request:1230|pull_request:2362", + "pull_request:1230|pull_request:3079", + "pull_request:12307|pull_request:12980", + "pull_request:12343|pull_request:12479", + "pull_request:12387|pull_request:12416", + "pull_request:12487|pull_request:13040", + "pull_request:12487|pull_request:13076", + "pull_request:12487|pull_request:13181", + "pull_request:12552|pull_request:13040", + "pull_request:12552|pull_request:13076", + "pull_request:12552|pull_request:13181", + "pull_request:12618|pull_request:13294", + "pull_request:12675|pull_request:13135", + "pull_request:12731|pull_request:12890", + "pull_request:12757|pull_request:12890", + "pull_request:12775|pull_request:13158", + "pull_request:12775|pull_request:13253", + "pull_request:1282|pull_request:2836", + "pull_request:12890|pull_request:12971", + "pull_request:12890|pull_request:13400", + "pull_request:12980|pull_request:13115", + "pull_request:12984|pull_request:13382", + "pull_request:12984|pull_request:13499", + "pull_request:13082|pull_request:13368", + "pull_request:13082|pull_request:13369", + "pull_request:13174|pull_request:13344", + "pull_request:1319|pull_request:421" + ], + "prepared_review_unit_hash": "0d27736b5ed5e65869e8ce86009ca021ebac2a48742bd6f7920b2b92fd37fc01", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 34, + "serialized_chars": 98918, + "estimated_input_tokens": 24730, + "estimated_eval_tokens": 49716 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: docs-only fixes, CI/test tweaks, modular pipeline changes, and unrelated model/test refactors. 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"component_index": 1, + "component_count": 255, + "review_unit_index": 94, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1330", + "pull_request:1341", + "pull_request:1373", + "pull_request:1394", + "pull_request:1401", + "pull_request:1408", + "pull_request:1412", + "pull_request:1423", + "pull_request:1437", + "pull_request:1467", + "pull_request:1490", + "pull_request:1496", + "pull_request:15", + "pull_request:1510", + "pull_request:154", + "pull_request:1558", + "pull_request:1576", + "pull_request:1605", + "pull_request:1627", + "pull_request:1640", + "pull_request:168", + "pull_request:1727", + "pull_request:178", + "pull_request:1849", + "pull_request:1989", + "pull_request:2278", + "pull_request:260", + "pull_request:3066", + "pull_request:3068", + "pull_request:309", + "pull_request:316", + 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"pull_request:1496|pull_request:1605", + "pull_request:15|pull_request:395", + "pull_request:1510|pull_request:1989", + "pull_request:1558|pull_request:948", + "pull_request:1576|pull_request:3068", + "pull_request:1576|pull_request:3166", + "pull_request:1576|pull_request:3554", + "pull_request:1576|pull_request:3555", + "pull_request:1627|pull_request:316", + "pull_request:1640|pull_request:3417", + "pull_request:1727|pull_request:3241", + "pull_request:178|pull_request:2278", + "pull_request:178|pull_request:309", + "pull_request:178|pull_request:72" + ], + "prepared_review_unit_hash": "baca94e5f75c22ab133e1a86017461bd98dddb5bac7d045f7060acde958fd6ab", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 100930, + 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Not the same concrete bug/change." + }, + { + "left": "pull_request:9408", + "right": "pull_request:9658", + "accept": false, + "reason": "Flux ControlNet pipeline feature work vs. a community example for a distilled controlnet model; different artifacts and purposes." + }, + { + "left": "pull_request:948", + "right": "pull_request:972", + "accept": false, + "reason": "Two small typo fixes in unrelated files; same class of edit, but not duplicate changes." + }, + { + "left": "pull_request:12086", + "right": "pull_request:12387", + "accept": false, + "reason": "Flux modular I2I support and flash-attention-through-kernels support are separate feature additions." + }, + { + "left": "pull_request:12006", + "right": "pull_request:12909", + "accept": false, + "reason": "Wan 2.2 i2v feature addition and Wan context-parallel fix are different code-path changes." + }, + { + "left": "pull_request:6946", + "right": "pull_request:9073", + "accept": false, + "reason": "IP-Adapter loading memory option vs. single-file SparseControlNet loading support; both loaders, but distinct functionality." + }, + { + "left": "pull_request:6868", + "right": "pull_request:7189", + "accept": false, + "reason": "Related IP-Adapter plumbing, but one introduces ip_adapter_image_embeds and the other fixes plus-embed repetition logic; strict duplicate criteria not met." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 103, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10230", + "pull_request:10318", + "pull_request:10544", + "pull_request:11479", + "pull_request:11595", + "pull_request:11843", + "pull_request:12074", + "pull_request:12324", + "pull_request:12416", + "pull_request:12451", + "pull_request:12541", + "pull_request:12681", + "pull_request:12782", + "pull_request:13042", + "pull_request:13211", + "pull_request:13280", + "pull_request:2172", + "pull_request:2367", + "pull_request:2464", + "pull_request:2467", + "pull_request:2983", + "pull_request:3080", + "pull_request:3127", + "pull_request:3299", + "pull_request:3339", + "pull_request:3652", + "pull_request:3847", + "pull_request:4315", + "pull_request:4508", + "pull_request:4761", + "pull_request:4795", + "pull_request:4862", + "pull_request:4886", + "pull_request:4899", + "pull_request:5127", + "pull_request:5298", + "pull_request:5738", + "pull_request:5948", + "pull_request:5958", + "pull_request:6217", + "pull_request:7632", + "pull_request:7786", + "pull_request:823", + "pull_request:826", + "pull_request:9061", + "pull_request:9213", + "pull_request:9964" + ], + "soft_pairs": [ + "pull_request:9213|pull_request:9964", + "pull_request:12416|pull_request:13280", + "pull_request:12074|pull_request:12324", + "pull_request:2367|pull_request:3652", + "pull_request:7632|pull_request:9061", + "pull_request:2467|pull_request:823", + "pull_request:3299|pull_request:4761", + "pull_request:4315|pull_request:5298", + "pull_request:4508|pull_request:5948", + "pull_request:4795|pull_request:4862", + "pull_request:5738|pull_request:5958", + "pull_request:6217|pull_request:7786", + "pull_request:823|pull_request:826", + "pull_request:4899|pull_request:5127", + "pull_request:10230|pull_request:10544", + "pull_request:10318|pull_request:11595", + "pull_request:11479|pull_request:12451", + "pull_request:11843|pull_request:12541", + "pull_request:12681|pull_request:13042", + "pull_request:12782|pull_request:13211", + "pull_request:2172|pull_request:3080", + "pull_request:2464|pull_request:3339", + "pull_request:2983|pull_request:3847", + "pull_request:3127|pull_request:4886" + ], + "prepared_review_unit_hash": "80b0f186d678e7ae6b8c57d63070b5a5788beca251de47e0f242a256b9944f38", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 96995, + "estimated_input_tokens": 24249, + "estimated_eval_tokens": 48754 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a loose collection of unrelated PRs; the only plausible duplicate-like pair is the two LoRA torch.compile conv fixes. I\u2019d keep PR 9213 as the best representative because it is the broadest, most central feature PR in the group.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9213 is the broadest and most foundational change here, with the largest scope, heavy review activity, and clear code/docs impact in quantization.", + "best_issue_reason": null, + "best_pr_reason": "PR 9213 is the strongest single representative of the cluster: substantial feature work, well-reviewed, and more central than the mostly orthogonal doc/test bugfix PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9213", + "right": "pull_request:9964", + "accept": false, + "reason": "Both are quantization support additions, but they implement different backends/features (bitsandbytes vs GGUF) and are not the same change." + }, + { + "left": "pull_request:12416", + "right": "pull_request:13280", + "accept": false, + "reason": "Different feature areas entirely: QwenImage Edit Plus modular support vs FlashAttention-4 support." + }, + { + "left": "pull_request:12074", + "right": "pull_request:12324", + "accept": false, + "reason": "Both are Wan-related, but one adds LoRA loading into a second transformer while the other adds Wan2.2 VACE conversion support; different code paths." + }, + { + "left": "pull_request:2367", + "right": "pull_request:3652", + "accept": false, + "reason": "Checkpoint retention-limit plumbing and checkpoint naming refactor are separate training-script changes." + }, + { + "left": "pull_request:7632", + "right": "pull_request:9061", + "accept": false, + "reason": "DreamBooth VAE loading path fix and sharded-checkpoint variant loading are different bugs." + }, + { + "left": "pull_request:2467", + "right": "pull_request:823", + "accept": false, + "reason": "One is a broad output-type/docs-style pipeline change; the other is a negative-prompt type-check bug fix." + }, + { + "left": "pull_request:3299", + "right": "pull_request:4761", + "accept": false, + "reason": "LoRA documentation/text-encoder guidance is unrelated to the PaintByExample image encoder fix." + }, + { + "left": "pull_request:4315", + "right": "pull_request:5298", + "accept": true, + "reason": "Both fix the same LoRA convolution torch.compile graph-break problem in the same code area, and could plausibly be merged into one PR." + }, + { + "left": "pull_request:4508", + "right": "pull_request:5948", + "accept": false, + "reason": "`use_onnx` propagation in `from_pretrained` and the variant-warning condition are unrelated pipeline-utils fixes." + }, + { + "left": "pull_request:4795", + "right": "pull_request:4862", + "accept": false, + "reason": "Both touch ControlNet, but they fix different bugs: compile behavior vs MultiControlNet img2img shape handling." + }, + { + "left": "pull_request:5738", + "right": "pull_request:5958", + "accept": false, + "reason": "Adapter deletion and load_lora refactor are separate PEFT/LoRA feature changes, not the same underlying bug." + }, + { + "left": "pull_request:6217", + "right": "pull_request:7786", + "accept": false, + "reason": "Stable Video Diffusion VAE torch.compile handling and the num_videos_per_prompt repeat-order bug are different issues." + }, + { + "left": "pull_request:823", + "right": "pull_request:826", + "accept": false, + "reason": "These fix different problems in different scripts/pipelines; they are not the same code-path bug." + }, + { + "left": "pull_request:4899", + "right": "pull_request:5127", + "accept": false, + "reason": "ControlNet LoRA support and SDXL adapter multi-adapter support are separate feature additions." + }, + { + "left": "pull_request:10230", + "right": "pull_request:10544", + "accept": false, + "reason": "Both are docs PRs, but one adds LoRA mixin docs while the other documents ParaAttention; unrelated topics." + }, + { + "left": "pull_request:10318", + "right": "pull_request:11595", + "accept": false, + "reason": "One is a Flux LoRA test addition, the other is a Flux LoRA loading bug fix; related area but not the same change." + }, + { + "left": "pull_request:11479", + "right": "pull_request:12451", + "accept": false, + "reason": "Intel Gaudi doc rename and doc-builder Dockerfile dependency changes are unrelated." + }, + { + "left": "pull_request:11843", + "right": "pull_request:12541", + "accept": false, + "reason": "Wan VACE exclude_modules tests and latest few-step Wan LoRA support are different Wan-LoRA changes." + }, + { + "left": "pull_request:12681", + "right": "pull_request:13042", + "accept": false, + "reason": "These are CI/test fixes for different pipelines and different failure modes." + }, + { + "left": "pull_request:12782", + "right": "pull_request:13211", + "accept": false, + "reason": "Hunyuan offloading test adjustment and the runtime group-offloading bug fix are not the same underlying change." + }, + { + "left": "pull_request:2172", + "right": "pull_request:3080", + "accept": false, + "reason": "Multi-GPU validation behavior and pipeline save_pretrained None-handling are unrelated." + }, + { + "left": "pull_request:2464", + "right": "pull_request:3339", + "accept": false, + "reason": "Training-script xformers cleanup and urllib3 pinning address completely different concerns." + }, + { + "left": "pull_request:2983", + "right": "pull_request:3847", + "accept": false, + "reason": "Contributor docs for installing test deps and the dependency-check workflow are different documentation/test infra changes." + }, + { + "left": "pull_request:3127", + "right": "pull_request:4886", + "accept": false, + "reason": "Both involve safety checker flow, but they fix different pipeline implementations and different concrete bugs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary stays grounded in the packet and is appropriately cautious. The only soft-edge pair accepted, PR 4315 and PR 5298, is plausibly mergeable as the same torch.compile/LoRA conv fix in the same code area. The other pair verdicts are conservative, and the choice of PR 9213 as the representative is supported by its broad scope and review activity." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 104, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10261", + "pull_request:10366", + "pull_request:10717", + "pull_request:10854", + "pull_request:11124", + "pull_request:11756", + "pull_request:12024", + "pull_request:12041", + "pull_request:1269", + "pull_request:1527", + "pull_request:192", + "pull_request:2915", + "pull_request:3316", + "pull_request:3707", + "pull_request:3850", + "pull_request:4083", + "pull_request:4098", + "pull_request:4845", + "pull_request:4989", + "pull_request:4999", + "pull_request:5010", + "pull_request:5030", + "pull_request:5093", + "pull_request:5477", + "pull_request:5559", + "pull_request:5702", + "pull_request:6009", + "pull_request:6099", + "pull_request:6346", + "pull_request:6355", + "pull_request:6787", + "pull_request:6828", + "pull_request:6864", + "pull_request:7016", + "pull_request:7096", + "pull_request:7103", + "pull_request:7156", + "pull_request:7246", + "pull_request:7328", + "pull_request:7458", + "pull_request:7613", + "pull_request:7820", + "pull_request:7932", + "pull_request:8797", + "pull_request:8901", + "pull_request:9175", + "pull_request:9542" + ], + "soft_pairs": [ + "pull_request:6346|pull_request:7096", + "pull_request:6864|pull_request:7328", + "pull_request:7103|pull_request:7156", + "pull_request:7246|pull_request:7458", + "pull_request:7932|pull_request:8797", + "pull_request:5477|pull_request:5559", + "pull_request:5010|pull_request:6787", + "pull_request:6355|pull_request:7613", + "pull_request:6828|pull_request:7820", + "pull_request:4083|pull_request:4098", + "pull_request:9175|pull_request:9542", + "pull_request:12024|pull_request:12041", + "pull_request:7016|pull_request:8901", + "pull_request:10261|pull_request:10717", + "pull_request:10366|pull_request:11756", + "pull_request:10854|pull_request:11124", + "pull_request:1269|pull_request:192", + "pull_request:1527|pull_request:192", + "pull_request:2915|pull_request:5093", + "pull_request:3316|pull_request:3707", + "pull_request:3850|pull_request:4845", + "pull_request:4989|pull_request:4999", + "pull_request:5030|pull_request:5702", + "pull_request:6009|pull_request:6099" + ], + "prepared_review_unit_hash": "31e0bbe9b90e3d4b9690b1318ed9dd7029095ca15d35a9886dc8bd6bddc39fb8", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 97651, + "estimated_input_tokens": 24413, + "estimated_eval_tokens": 49082 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a heterogeneous mix of unrelated PRs across docs, tests, model fixes, and pipeline features. The soft-edge pairs mostly share broad themes (e.g. IP-Adapter, Flux, SDXL, Wuerstchen) but do not appear to be the same concrete bug or change, so none should be merged as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7016 is the broadest, most central change in the set: it refactors IP-Adapter image-embedding handling across many pipelines and docs, with high discussion and multiple inbound references. As a representative PR for the cluster, it best captures the largest coherent change area.", + "best_issue_reason": null, + "best_pr_reason": "PR #7016 is the strongest global representative because it spans the widest code surface and is the most substantial single feature change among the items. The rest are narrower follow-ups or unrelated fixes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6346", + "right": "pull_request:7096", + "accept": false, + "reason": "Different changes: training-example LoRA conversion follow-up vs ControlNet training README/script enhancements. Same general training area, but not the same underlying bug or patch." + }, + { + "left": "pull_request:6864", + "right": "pull_request:7328", + "accept": false, + "reason": "Docs/tutorial note about torch.compile and LoRA fusion vs adding torch to the PyPI publish workflow. No shared code path or concrete bug." + }, + { + "left": "pull_request:7103", + "right": "pull_request:7156", + "accept": false, + "reason": "ControlNet image validation bug fix vs stale-bot label handling bug. Completely different subsystems and failure modes." + }, + { + "left": "pull_request:7246", + "right": "pull_request:7458", + "accept": false, + "reason": "VAE tiling test device handling vs skipping dynamo tests on Python 3.12. Both test-only, but unrelated issues." + }, + { + "left": "pull_request:7932", + "right": "pull_request:8797", + "accept": false, + "reason": "LoRA test expectation updates vs sharded checkpoint test adjustments. Both are test maintenance, not the same defect." + }, + { + "left": "pull_request:5477", + "right": "pull_request:5559", + "accept": false, + "reason": "A new community pipeline README/code addition vs adding an Img2Img latent-consistency pipeline. Related family, but distinct features and code paths." + }, + { + "left": "pull_request:5010", + "right": "pull_request:6787", + "accept": false, + "reason": "GLIGEN text-to-image export/import fix vs Marigold input normalization fix. Unrelated models and bugs." + }, + { + "left": "pull_request:6355", + "right": "pull_request:7613", + "accept": false, + "reason": "Advanced training widget-format cleanup vs model card standardization for SD15 LoRA. Same docs-adjacent area, but not the same change." + }, + { + "left": "pull_request:6828", + "right": "pull_request:7820", + "accept": false, + "reason": "UNetMotionModel IP-Adapter code-path update vs enabling IP-Adapter in InstructPix2Pix. Both touch IP-Adapter, but different pipelines/models and not mergeable as one fix." + }, + { + "left": "pull_request:4083", + "right": "pull_request:4098", + "accept": false, + "reason": "SDXL low-precision VAE support vs adding SDXL inpainting. Different feature work, not the same underlying bug." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9542", + "accept": false, + "reason": "Flux Union ControlNet support vs Flux LoRA text-encoder conversion support. Both Flux-related, but different components and purposes." + }, + { + "left": "pull_request:12024", + "right": "pull_request:12041", + "accept": false, + "reason": "Wan2.2 follow-up pipeline/model fixes vs a VAE patchify correction. Different code paths and problems." + }, + { + "left": "pull_request:7016", + "right": "pull_request:8901", + "accept": false, + "reason": "Both are IP-Adapter-related, but #7016 is a broad refactor of image-embedding preparation while #8901 adds Kolors-specific IP-Adapter support. Different target models and changes." + }, + { + "left": "pull_request:10261", + "right": "pull_request:10717", + "accept": false, + "reason": "#10261 adds Flux IP-Adapter support broadly, while #10717 adds IP-Adapter specifically to FluxImg2ImgPipeline. Same theme, but not the same concrete fix/change." + }, + { + "left": "pull_request:10366", + "right": "pull_request:11756", + "accept": false, + "reason": "Sana modulated norm implementation vs Sana test fixes. Not the same bug or code change." + }, + { + "left": "pull_request:10854", + "right": "pull_request:11124", + "accept": false, + "reason": "Hunyuan DiT test-module rename for CI vs CogView4 tokenizer test update. Unrelated test/CI fixes." + }, + { + "left": "pull_request:1269", + "right": "pull_request:192", + "accept": false, + "reason": "Stable Diffusion refactor vs a README parameter example update. Same broad project area, but not the same issue or change." + }, + { + "left": "pull_request:1527", + "right": "pull_request:192", + "accept": false, + "reason": "Stable Diffusion inpaint tensor-input support vs a README example tweak. One is a code fix, the other is documentation." + }, + { + "left": "pull_request:2915", + "right": "pull_request:5093", + "accept": false, + "reason": "Text inversion test tolerance change vs moving slow tests to nightly. Both test-related, but distinct maintenance tasks." + }, + { + "left": "pull_request:3316", + "right": "pull_request:3707", + "accept": false, + "reason": "Patch-release doc build branch fix vs switching doc workflows to secrets. Both documentation workflow changes, but different problems and PR scopes." + }, + { + "left": "pull_request:3850", + "right": "pull_request:4845", + "accept": false, + "reason": "AudioDiffusion test mel-resolution fix vs Stable Diffusion Inpaint dummy-input handling. Unrelated test fixes." + }, + { + "left": "pull_request:4989", + "right": "pull_request:4999", + "accept": false, + "reason": "Two different Wuerstchen fixes: num_images_per_prompt propagation vs compel usage adjustments. Same subsystem, but separate concrete bugs." + }, + { + "left": "pull_request:5030", + "right": "pull_request:5702", + "accept": false, + "reason": "Model offload bug fix vs AnimateDiff prompt defaulting/prompt_embeds bug. Different pipelines and failure modes." + }, + { + "left": "pull_request:6009", + "right": "pull_request:6099", + "accept": false, + "reason": "TensorRT super-args fix for StableDiffusion variants vs TextToVideoZeroPipeline constructor arguments. Both involve constructor plumbing, but different examples and code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 105, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10205", + "pull_request:10292", + "pull_request:10378", + "pull_request:10454", + "pull_request:10544", + "pull_request:10581", + "pull_request:11059", + "pull_request:11428", + "pull_request:11485", + "pull_request:11726", + "pull_request:12249", + "pull_request:12451", + "pull_request:12679", + "pull_request:13100", + "pull_request:2479", + "pull_request:4062", + "pull_request:4396", + "pull_request:4910", + "pull_request:4944", + "pull_request:5057", + "pull_request:5157", + "pull_request:5470", + "pull_request:5938", + "pull_request:6191", + "pull_request:6241", + "pull_request:6330", + "pull_request:6499", + "pull_request:6828", + "pull_request:6904", + "pull_request:6972", + "pull_request:7158", + "pull_request:7226", + "pull_request:7476", + "pull_request:7550", + "pull_request:7944", + "pull_request:8490", + "pull_request:8688", + "pull_request:8691", + "pull_request:8916", + "pull_request:8985", + "pull_request:9017", + "pull_request:9040", + "pull_request:9244", + "pull_request:9311", + "pull_request:9367", + "pull_request:9542", + "pull_request:9881", + "pull_request:9993" + ], + "soft_pairs": [ + "pull_request:6191|pull_request:8490", + "pull_request:6499|pull_request:7226", + "pull_request:8688|pull_request:8691", + "pull_request:8916|pull_request:8985", + "pull_request:11726|pull_request:12679", + "pull_request:4062|pull_request:5057", + "pull_request:4944|pull_request:6828", + "pull_request:10454|pull_request:11428", + "pull_request:11485|pull_request:12249", + "pull_request:10205|pull_request:10378", + "pull_request:10205|pull_request:11059", + "pull_request:10378|pull_request:9993", + "pull_request:10544|pull_request:9244", + "pull_request:12451|pull_request:13100", + "pull_request:2479|pull_request:4396", + "pull_request:4910|pull_request:6330", + "pull_request:5157|pull_request:5470", + "pull_request:6241|pull_request:6904", + "pull_request:6972|pull_request:7158", + "pull_request:7476|pull_request:9311", + "pull_request:9017|pull_request:9542", + "pull_request:7550|pull_request:9040", + "pull_request:10292|pull_request:9367", + "pull_request:5938|pull_request:7944", + "pull_request:10581|pull_request:9881" + ], + "prepared_review_unit_hash": "66ef47f8b4691f051803b60db7b5d68463685874600dd714bff92e88a8a833b3", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 98581, + "estimated_input_tokens": 24646, + "estimated_eval_tokens": 49548 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No duplicate cluster here: the candidate pairs are only loosely related by subsystem or feature area, but they address different code paths, models, or docs changes. 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No evidence they are the same bug." + }, + { + "left": "pull_request:6972", + "right": "pull_request:7158", + "accept": false, + "reason": "IP-Adapter unload test fix vs LCM benchmark cleanup; different targets and semantics." + }, + { + "left": "pull_request:7476", + "right": "pull_request:9311", + "accept": false, + "reason": "Both involve ControlNet SDXL internals, but one fixes torch.compile multi-controlnet behavior and the other adds CFG cutoff callbacks; different changes." + }, + { + "left": "pull_request:9017", + "right": "pull_request:9542", + "accept": false, + "reason": "AuraFlow LoRA support vs Flux LoRA conversion for Kohya text encoders; different models and code paths." + }, + { + "left": "pull_request:7550", + "right": "pull_request:9040", + "accept": false, + "reason": "Both are community example additions, but they implement different pipelines for different model families." + }, + { + "left": "pull_request:10292", + "right": "pull_request:9367", + "accept": false, + "reason": "Both modify AutoPipeline for Flux variants, but one adds Flux Control and the other adds Flux inpaint/img2img/controlnet routing; 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Different bugs." + }, + { + "left": "pull_request:10286", + "right": "pull_request:10481", + "accept": false, + "reason": "Different Sana changes: README model path update versus pipeline default clean_caption behavior." + }, + { + "left": "pull_request:10316", + "right": "pull_request:10825", + "accept": false, + "reason": "One is an LTX video docs cleanup, the other is a text2image training docs addition; unrelated documentation changes." + }, + { + "left": "pull_request:10524", + "right": "pull_request:10825", + "accept": false, + "reason": "Hunyuan Video checkpoint-id docs fix versus text2image training docs update; different topics and targets." + }, + { + "left": "pull_request:10578", + "right": "pull_request:11660", + "accept": false, + "reason": "Both are LoRA-related, but they support different model families and formats (Flux 4-bit loading vs HiDream LoRA conversion)." + }, + { + "left": "pull_request:10648", + "right": "pull_request:11545", + "accept": false, + "reason": "Scheduler docs for DDPM sigmoid versus missing VAE slicing/tiling methods in Flux img2img; unrelated." + }, + { + "left": "pull_request:1104", + "right": "pull_request:796", + "accept": false, + "reason": "Both touch CI/M1 tests, but one adds slow MPS workflows while the other sets up Apple M1 testing infrastructure; not the same underlying change." + }, + { + "left": "pull_request:11058", + "right": "pull_request:11099", + "accept": false, + "reason": "One makes tests device-agnostic across accelerators; the other gates GPU PR tests on style/quality checks. Different purposes." + }, + { + "left": "pull_request:1129", + "right": "pull_request:1765", + "accept": false, + "reason": "Both edit the DreamBooth Flax script, but they fix different issues: sample batch sizing vs removing/adjusting CLI and flax training behavior." + }, + { + "left": "pull_request:12018", + "right": "pull_request:12464", + "accept": false, + "reason": "Both are docs fixes, but one is a quantization link rename and the other is Marigold syntax cleanup; no shared bug." + }, + { + "left": "pull_request:12170", + "right": "pull_request:12275", + "accept": false, + "reason": "Both involve loading/quantization adjacent code, but one expands Qwen LoRA conversion support and the other adds TorchAO config compatibility; different features." + }, + { + "left": "pull_request:1230", + "right": "pull_request:1701", + "accept": false, + "reason": "Both aim at fast tests, but one fixes MPS generator handling in DDIM/DDPM while the other refactors RePaint preprocessing and API conformity." + }, + { + "left": "pull_request:12856", + "right": "pull_request:13056", + "accept": false, + "reason": "Same Z-Image family, but one is a core implementation PR and the other is a DreamBooth LoRA training example; not the same change." + }, + { + "left": "pull_request:1408", + "right": "pull_request:1416", + "accept": false, + "reason": "Both are conversion-related, but one fixes Stable Diffusion checkpoint sample-size conversion and the other fixes ONNX conversion/inference plumbing; different code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 107, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1436", + "pull_request:1605", + "pull_request:168", + "pull_request:1849", + "pull_request:1879", + "pull_request:1927", + "pull_request:2103", + "pull_request:2400", + "pull_request:2446", + "pull_request:2693", + "pull_request:2974", + "pull_request:3389", + "pull_request:3398", + "pull_request:3680", + "pull_request:3755", + "pull_request:392", + "pull_request:3945", + "pull_request:3971", + "pull_request:402", + "pull_request:4211", + "pull_request:4258", + "pull_request:4343", + "pull_request:4457", + "pull_request:4498", + "pull_request:4503", + "pull_request:4582", + "pull_request:4595", + "pull_request:4659", + "pull_request:4661", + "pull_request:4763", + "pull_request:4795", + "pull_request:4856", + "pull_request:4934", + "pull_request:5039", + "pull_request:5157", + "pull_request:5180", + "pull_request:5275", + "pull_request:5289", + "pull_request:5367", + "pull_request:5499", + "pull_request:5698", + "pull_request:5982", + "pull_request:6289", + "pull_request:6305", + "pull_request:6528", + "pull_request:6757", + "pull_request:688", + "pull_request:874" + ], + "soft_pairs": [ + "pull_request:1436|pull_request:688", + "pull_request:1605|pull_request:1849", + "pull_request:168|pull_request:1927", + "pull_request:1879|pull_request:3389", + "pull_request:2103|pull_request:3945", + "pull_request:2400|pull_request:874", + "pull_request:2446|pull_request:3398", + "pull_request:2693|pull_request:4856", + "pull_request:2974|pull_request:4457", + "pull_request:3680|pull_request:5499", + "pull_request:3755|pull_request:5289", + "pull_request:392|pull_request:402", + "pull_request:3945|pull_request:4934", + "pull_request:3971|pull_request:5180", + "pull_request:4211|pull_request:5275", + "pull_request:4258|pull_request:4503", + "pull_request:4343|pull_request:6305", + "pull_request:4498|pull_request:4763", + "pull_request:4582|pull_request:5367", + "pull_request:4595|pull_request:6289", + "pull_request:4659|pull_request:6757", + "pull_request:4661|pull_request:6757", + "pull_request:4795|pull_request:5157", + "pull_request:5039|pull_request:5982", + "pull_request:5698|pull_request:6528" + ], + "prepared_review_unit_hash": "8b3dd4bfc72216fca2e11538fdb0f963335dfb74f27a3794fa977d381f4cbdf9", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 96969, + "estimated_input_tokens": 24243, + "estimated_eval_tokens": 48742 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft pairs are superficial topic/file overlaps, not true duplicates. 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Different concrete fixes." + }, + { + "left": "pull_request:7825", + "right": "pull_request:9379", + "accept": false, + "reason": "These touch different test and model areas; one skips device-map tests for models without split modules, the other fixes Flux fast GPU tests and model device handling." + }, + { + "left": "pull_request:9821", + "right": "pull_request:9827", + "accept": false, + "reason": "Both concern device_map handling, but one changes a helper check while the other changes LoRA loading/offloading interactions and documents supported workflows. Related topic, not same fix." + }, + { + "left": "pull_request:10494", + "right": "pull_request:9536", + "accept": false, + "reason": "One changes LoRA install behavior in CI; the other fixes ChatGLM tokenizer padding API. No shared underlying bug." + }, + { + "left": "pull_request:12142", + "right": "pull_request:12914", + "accept": false, + "reason": "One fixes mask dtype handling in WAN VACE; the other corrects a documentation typo in Cosmos. Different scope and code path." + }, + { + "left": "pull_request:12143", + "right": "pull_request:12914", + "accept": false, + "reason": "One fixes bf16/fp16 handling in WAN VACE plus tests; the other is a doc typo fix in Cosmos. Not duplicates." + }, + { + "left": "pull_request:1215", + "right": "pull_request:819", + "accept": false, + "reason": "Both are DDIM scheduler changes, but one handles eta/generator noise placement and the other fixes timestep dtype on Windows. Distinct bugs and eras." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 113, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10730", + "pull_request:11896", + "pull_request:12790", + "pull_request:13100", + "pull_request:1327", + "pull_request:13410", + "pull_request:1588", + "pull_request:2002", + "pull_request:2479", + "pull_request:2557", + "pull_request:2584", + "pull_request:2861", + "pull_request:2919", + "pull_request:2928", + "pull_request:2994", + "pull_request:3016", + "pull_request:3128", + "pull_request:3446", + "pull_request:3614", + "pull_request:3691", + "pull_request:3912", + "pull_request:4070", + "pull_request:4215", + "pull_request:4428", + "pull_request:4749", + "pull_request:4862", + "pull_request:4886", + "pull_request:5157", + "pull_request:6085", + "pull_request:6147", + "pull_request:6578", + "pull_request:6946", + "pull_request:7018", + "pull_request:7166", + "pull_request:7186", + "pull_request:7295", + "pull_request:7797", + "pull_request:7803", + "pull_request:7804", + "pull_request:816", + "pull_request:8422", + "pull_request:8631", + "pull_request:8902", + "pull_request:9099", + "pull_request:9175", + "pull_request:9244", + "pull_request:9601" + ], + "soft_pairs": [ + "pull_request:1588|pull_request:3614", + "pull_request:2584|pull_request:4862", + "pull_request:2861|pull_request:2919", + "pull_request:2994|pull_request:4749", + "pull_request:4215|pull_request:6578", + "pull_request:7797|pull_request:8422", + "pull_request:7803|pull_request:8422", + "pull_request:7804|pull_request:8422", + "pull_request:9099|pull_request:9175", + "pull_request:11896|pull_request:12790", + "pull_request:6946|pull_request:7186", + "pull_request:10730|pull_request:9601", + "pull_request:13100|pull_request:13410", + "pull_request:1327|pull_request:2928", + "pull_request:1327|pull_request:3446", + "pull_request:2002|pull_request:816", + "pull_request:2479|pull_request:3691", + "pull_request:2479|pull_request:3912", + "pull_request:2557|pull_request:3016", + "pull_request:3128|pull_request:4886", + "pull_request:4070|pull_request:4428", + "pull_request:4862|pull_request:6085", + "pull_request:5157|pull_request:7018", + "pull_request:6147|pull_request:7166", + "pull_request:7295|pull_request:9244", + "pull_request:8631|pull_request:8902" + ], + "prepared_review_unit_hash": "382ae6c651b383b532486aa29ce8b3cf19b13c2ccf515a3bc523c4523e966ea7", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 95379, + "estimated_input_tokens": 23845, + "estimated_eval_tokens": 47946 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a loose thematic grouping, not a duplicate set. 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Different underlying changes." + }, + { + "left": "pull_request:6946", + "right": "pull_request:7186", + "accept": false, + "reason": "Both are IP-Adapter work, but one adds low_cpu_mem_usage loading while the other moves Face ID support to core; distinct feature changes." + }, + { + "left": "pull_request:10730", + "right": "pull_request:9601", + "accept": false, + "reason": "Different bugs in different areas: wrapped-model hook removal vs SD3 ControlNet VAE dtype selection." + }, + { + "left": "pull_request:13100", + "right": "pull_request:13410", + "accept": false, + "reason": "Both mention modular pipelines/docs, but one updates ModularPipeline documentation while the other adds agent instructions and renames a skill doc." + }, + { + "left": "pull_request:1327", + "right": "pull_request:2928", + "accept": false, + "reason": "Local custom pipeline loading and custom dataset loading for ControlNet are unrelated changes." + }, + { + "left": "pull_request:1327", + "right": "pull_request:3446", + "accept": false, + "reason": "Custom local pipeline loading and a pipeline-loading warning-message fix do not share the same bug/change." + }, + { + "left": "pull_request:2002", + "right": "pull_request:816", + "accept": false, + "reason": "LoRA example support and a Deepspeed compatibility fix are separate training-script changes." + }, + { + "left": "pull_request:2479", + "right": "pull_request:3691", + "accept": false, + "reason": "Both are LoRA-related, but one adds text-encoder training support in the example while the other switches the loader implementation for PT 2.0; not the same concrete fix." + }, + { + "left": "pull_request:2479", + "right": "pull_request:3912", + "accept": false, + "reason": "Same example file and topic, but 2479 adds the feature plumbing while 3912 is docs/tests around text-encoder finetuning; not the same PR-level change." + }, + { + "left": "pull_request:2557", + "right": "pull_request:3016", + "accept": false, + "reason": "Intermediate logging for DreamBooth and Min-SNR weighting in ControlNet training are different feature additions." + }, + { + "left": "pull_request:3128", + "right": "pull_request:4886", + "accept": false, + "reason": "Both are timestep/safety-related pipeline fixes, but they affect different pipelines and different bugs." + }, + { + "left": "pull_request:4070", + "right": "pull_request:4428", + "accept": false, + "reason": "SDXL doc tweaks are not the same as the broader SDXL docs/navigation rework." + }, + { + "left": "pull_request:4862", + "right": "pull_request:6085", + "accept": false, + "reason": "MultiControlNet image-shape handling and scheduler add_noise fixes are unrelated changes." + }, + { + "left": "pull_request:5157", + "right": "pull_request:7018", + "accept": false, + "reason": "LoRA conversion logic for ControlNet and gradient-unscaling fixes in advanced LoRA training are different problems." + }, + { + "left": "pull_request:6147", + "right": "pull_request:7166", + "accept": false, + "reason": "Both touch SDXL LoRA loading, but one fixes single-file refiner loading and the other fixes DreamBooth checkpoint loading for text encoders; different code paths." + }, + { + "left": "pull_request:7295", + "right": "pull_request:9244", + "accept": false, + "reason": "A UNet single-file loader cleanup and Flux single-file support are not the same underlying change." + }, + { + "left": "pull_request:8631", + "right": "pull_request:8902", + "accept": false, + "reason": "Returning a created T5 model and sharded-checkpoint handling are unrelated loader fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 114, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10396", + "pull_request:10397", + "pull_request:10581", + "pull_request:10728", + "pull_request:10911", + "pull_request:11159", + "pull_request:11485", + "pull_request:11522", + "pull_request:11588", + "pull_request:11755", + "pull_request:12091", + "pull_request:12225", + "pull_request:12416", + "pull_request:12496", + "pull_request:1250", + "pull_request:12526", + "pull_request:12919", + "pull_request:12983", + "pull_request:12996", + "pull_request:13089", + "pull_request:13237", + "pull_request:2034", + "pull_request:243", + "pull_request:3850", + "pull_request:4408", + "pull_request:4481", + "pull_request:4498", + "pull_request:4774", + "pull_request:4795", + "pull_request:4847", + "pull_request:4862", + "pull_request:5915", + "pull_request:5922", + "pull_request:6197", + "pull_request:6864", + "pull_request:6884", + "pull_request:689", + "pull_request:7476", + "pull_request:8389", + "pull_request:8688", + "pull_request:8755", + "pull_request:8856", + "pull_request:8859", + "pull_request:9268", + "pull_request:9423", + "pull_request:9696", + "pull_request:9807" + ], + "soft_pairs": [ + "pull_request:8755|pull_request:9807", + "pull_request:10396|pull_request:10397", + "pull_request:1250|pull_request:243", + "pull_request:2034|pull_request:3850", + "pull_request:2034|pull_request:689", + "pull_request:4795|pull_request:6864", + "pull_request:8688|pull_request:8755", + "pull_request:12983|pull_request:13237", + "pull_request:7476|pull_request:8856", + "pull_request:7476|pull_request:8859", + "pull_request:11485|pull_request:12225", + "pull_request:10911|pull_request:11755", + "pull_request:12416|pull_request:13089", + "pull_request:4862|pull_request:5922", + "pull_request:9268|pull_request:9423", + "pull_request:4408|pull_request:4774", + "pull_request:8389|pull_request:9696", + "pull_request:4481|pull_request:4847", + "pull_request:4498|pull_request:6197", + "pull_request:5915|pull_request:6884", + "pull_request:11159|pull_request:11522", + "pull_request:11588|pull_request:12496", + "pull_request:12919|pull_request:12996", + "pull_request:10581|pull_request:10728", + "pull_request:12091|pull_request:12526" + ], + "prepared_review_unit_hash": "3140b907dcf03ef9ed49336ec779985d7dba849f6f2983b7d48039f9919db5de", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 101387, + "estimated_input_tokens": 25347, + "estimated_eval_tokens": 50950 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: it mixes unrelated feature additions, bug fixes, docs/tests, and model/pipeline integrations. 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Different bug surfaces." + }, + { + "left": "pull_request:12983", + "right": "pull_request:13237", + "accept": false, + "reason": "Both update single-file model support, but for different model families (LTX2 vs Flux.2 Klein). Not the same change." + }, + { + "left": "pull_request:7476", + "right": "pull_request:8856", + "accept": false, + "reason": "Different img2img bugs: one is multi-ControlNet torch.compile behavior, the other is batch duplication/error handling for image inputs." + }, + { + "left": "pull_request:7476", + "right": "pull_request:8859", + "accept": false, + "reason": "#8859 only changes AuraFlow defaults for compile compatibility; it does not fix the same multi-ControlNet bug as #7476." + }, + { + "left": "pull_request:11485", + "right": "pull_request:12225", + "accept": false, + "reason": "Both add pipelines, but for completely different models (Flex2 vs Qwen-Image-Edit inpainting). Not mergeable as one duplicate PR." + }, + { + "left": "pull_request:10911", + "right": "pull_request:11755", + "accept": false, + "reason": "Separate test fixes for different pipelines: Lumina2 LoRA fuse test vs LTX latent upscale CPU offload test." + }, + { + "left": "pull_request:12416", + "right": "pull_request:13089", + "accept": false, + "reason": "#12416 adds QwenImage Edit Plus modular support; #13089 adds a new guider and updates QwenImage modular pipeline. Related subsystem, different feature changes." + }, + { + "left": "pull_request:4862", + "right": "pull_request:5922", + "accept": false, + "reason": "Both affect image-conditioning paths, but one fixes SDXL ControlNet img2img shape handling and the other adjusts a community MultiAdapter inpainting example. Different code paths." + }, + { + "left": "pull_request:9268", + "right": "pull_request:9423", + "accept": false, + "reason": "Both are differential diffusion examples, but for different pipelines/models (Flux vs Kolors). Not the same concrete bug/change." + }, + { + "left": "pull_request:4408", + "right": "pull_request:4774", + "accept": false, + "reason": "SDXL from_single_file support and SDXL negative size/crop conditioning are distinct features." + }, + { + "left": "pull_request:8389", + "right": "pull_request:9696", + "accept": false, + "reason": "One fixes benchmarking workflow infra; the other updates PR test workflow inputs/validation. Different CI jobs and problems." + }, + { + "left": "pull_request:4481", + "right": "pull_request:4847", + "accept": false, + "reason": "EDM pipeline/scheduler implementation is unrelated to the Prompt Free Diffusion community example." + }, + { + "left": "pull_request:4498", + "right": "pull_request:6197", + "accept": false, + "reason": "SDXL reference/adain example support and DeepCache support are different community features, not the same underlying issue." + }, + { + "left": "pull_request:5915", + "right": "pull_request:6884", + "accept": false, + "reason": "IP-Adapter Plus support is a feature expansion; #6884 only tightens scale-length validation in set_ip_adapter_scale. Different changes." + }, + { + "left": "pull_request:11159", + "right": "pull_request:11522", + "accept": false, + "reason": "Quantization dtype handling in single-file loading is unrelated to the AudioLDM2 transformers-compatibility fix." + }, + { + "left": "pull_request:11588", + "right": "pull_request:12496", + "accept": false, + "reason": "Both involve WAN/LoRA-ish video paths, but one adds I2V LoRA support and the other fixes a condition shape mismatch. Not the same bug." + }, + { + "left": "pull_request:12919", + "right": "pull_request:12996", + "accept": false, + "reason": "#12919 adds an NPU attention backend path; #12996 adds Ulysses Anything Attention for distributed context parallelism. Different concrete implementations." + }, + { + "left": "pull_request:10581", + "right": "pull_request:10728", + "accept": false, + "reason": "Different IP-Adapter changes in different model families: SD3 inpaint support vs quantized Flux IP-Adapter handling." + }, + { + "left": "pull_request:12091", + "right": "pull_request:12526", + "accept": false, + "reason": "Entirely different additions: Dream 7B pipeline vs Wan2.2 Animate pipeline." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 115, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10005", + "pull_request:10099", + "pull_request:10102", + "pull_request:10109", + "pull_request:10115", + "pull_request:10179", + "pull_request:10183", + "pull_request:10188", + "pull_request:1020", + "pull_request:10205", + "pull_request:10220", + "pull_request:10278", + "pull_request:10332", + "pull_request:10364", + "pull_request:10517", + "pull_request:10648", + "pull_request:10783", + "pull_request:10977", + "pull_request:11025", + "pull_request:11271", + "pull_request:11292", + "pull_request:11439", + "pull_request:11546", + "pull_request:11595", + "pull_request:11804", + "pull_request:11823", + "pull_request:12040", + "pull_request:1221", + "pull_request:12737", + "pull_request:12988", + "pull_request:4632", + "pull_request:5057", + "pull_request:5127", + "pull_request:5185", + "pull_request:5417", + "pull_request:6464", + "pull_request:7550", + "pull_request:8675", + "pull_request:8679", + "pull_request:9175", + "pull_request:9268", + "pull_request:9367", + "pull_request:9445", + "pull_request:9507", + "pull_request:9597", + "pull_request:9683", + "pull_request:9843" + ], + "soft_pairs": [ + "pull_request:4632|pull_request:6464", + "pull_request:5057|pull_request:5127", + "pull_request:11546|pull_request:11804", + "pull_request:5185|pull_request:5417", + "pull_request:7550|pull_request:9268", + "pull_request:8679|pull_request:9597", + "pull_request:11823|pull_request:12040", + "pull_request:9367|pull_request:9507", + "pull_request:9175|pull_request:9445", + "pull_request:11025|pull_request:11823", + "pull_request:12737|pull_request:12988", + "pull_request:10005|pull_request:10332", + "pull_request:10005|pull_request:8675", + "pull_request:10099|pull_request:10977", + "pull_request:10102|pull_request:9843", + "pull_request:10109|pull_request:10648", + "pull_request:10115|pull_request:10783", + "pull_request:10115|pull_request:11439", + "pull_request:10179|pull_request:10278", + "pull_request:10179|pull_request:10517", + "pull_request:10183|pull_request:10364", + "pull_request:10183|pull_request:11271", + "pull_request:10188|pull_request:11595", + "pull_request:1020|pull_request:1221", + "pull_request:10205|pull_request:11292", + "pull_request:10220|pull_request:9683" + ], + "prepared_review_unit_hash": "5da0865dc55336edff42dfd3cf5ac164a293f4b66fb700d50cd3367f7713a232", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 94095, + "estimated_input_tokens": 23524, + "estimated_eval_tokens": 47304 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: mostly unrelated docs, tests, and feature PRs that only share broad keywords or subsystems. 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I rejected every soft edge.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:10491", + "right": "pull_request:9683", + "accept": false, + "reason": "Unrelated CI test fix vs. CogVideoX test rename/unskip; no shared bug or change." + }, + { + "left": "pull_request:10504", + "right": "pull_request:11355", + "accept": false, + "reason": "Both touch tests, but one removes prints and the other normalizes bnb test names/inputs; different changes." + }, + { + "left": "pull_request:10504", + "right": "pull_request:9598", + "accept": false, + "reason": "Generic test cleanup vs. Flux LoRA test note; different targets and problems." + }, + { + "left": "pull_request:10505", + "right": "pull_request:11355", + "accept": false, + "reason": "Same broad test-maintenance theme, but unrelated files and fixes." + }, + { + "left": "pull_request:10505", + "right": "pull_request:9598", + "accept": false, + "reason": "Removing test prints is not the same as documenting Flux LoRA integration test versions." + }, + { + "left": "pull_request:10531", + "right": "pull_request:10648", + "accept": false, + "reason": "Both are docs updates, but they cover different topics and code paths." + }, + { + "left": "pull_request:10531", + "right": "pull_request:10885", + "accept": false, + "reason": "Negative-prompt docs for Flux vs. adding CogVideoX scheduler docs; 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different work." + }, + { + "left": "pull_request:10648", + "right": "pull_request:11693", + "accept": false, + "reason": "Both are docs, but DDPM scheduler docs and bitsandbytes compile docs are unrelated." + }, + { + "left": "pull_request:10648", + "right": "pull_request:11731", + "accept": false, + "reason": "Different docs topics; no shared bug or implementation change." + }, + { + "left": "pull_request:10684", + "right": "pull_request:10802", + "accept": false, + "reason": "Input-check typo in HunyuanVideo vs. comment typo in controlnet training; unrelated." + }, + { + "left": "pull_request:10783", + "right": "pull_request:11439", + "accept": false, + "reason": "Different training-script bugs in different examples; not the same code-path problem." + }, + { + "left": "pull_request:10819", + "right": "pull_request:10885", + "accept": false, + "reason": "LoRA docs entries vs. CogVideoX scheduler docs; only both are documentation." + }, + { + "left": "pull_request:10819", + "right": "pull_request:11737", + "accept": false, + "reason": "Docs-only change vs. Hi-Dream distributed training code fix; unrelated." + }, + { + "left": "pull_request:10819", + "right": "pull_request:11768", + "accept": false, + "reason": "Docs entries vs. hook-removal loader bugfix; different artifacts and issues." + }, + { + "left": "pull_request:10845", + "right": "pull_request:10990", + "accept": false, + "reason": "Flux LoRA training bug fix vs. quantized Flux LoRA loader support; related domain but different concrete changes." + }, + { + "left": "pull_request:10858", + "right": "pull_request:9655", + "accept": false, + "reason": "Overview table fix vs. xDiT image path cleanup; both docs, but unrelated." + }, + { + "left": "pull_request:10885", + "right": "pull_request:11693", + "accept": false, + "reason": "Scheduler docs additions vs. bitsandbytes compile docs; no overlap beyond docs." + }, + { + "left": "pull_request:10938", + "right": "pull_request:11248", + "accept": false, + "reason": "Evaluation-guide tip vs. README image resize typo; unrelated documentation." + }, + { + "left": "pull_request:10938", + "right": "pull_request:11303", + "accept": false, + "reason": "Evaluation docs update vs. Allegro autoencoder docs fix; different doc pages and topics." + }, + { + "left": "pull_request:10938", + "right": "pull_request:12193", + "accept": false, + "reason": "Conceptual evaluation docs vs. Qwen README script-name fix; unrelated." + }, + { + "left": "pull_request:10938", + "right": "pull_request:9553", + "accept": false, + "reason": "Evaluation docs vs. distributed inference docs; both docs, but different content and intent." + }, + { + "left": "pull_request:10947", + "right": "pull_request:11550", + "accept": false, + "reason": "Both add single-file support, but for different models and code paths; not mergeable as one PR." + }, + { + "left": "pull_request:10975", + "right": "pull_request:10991", + "accept": false, + "reason": "Wan pipeline bugfix vs. Wan single-file support; same model family, but different concrete changes." + }, + { + "left": "pull_request:10977", + "right": "pull_request:11434", + "accept": false, + "reason": "Save/load component tests vs. import fix in common tests; unrelated test maintenance." + }, + { + "left": "pull_request:10977", + "right": "pull_request:9683", + "accept": false, + "reason": "Different test suites and different goals; no same underlying issue." + }, + { + "left": "pull_request:10978", + "right": "pull_request:9627", + "accept": false, + "reason": "LoRA loader bugfix vs. a test warning-order adjustment; not the same fix." + }, + { + "left": "pull_request:10991", + "right": "pull_request:11053", + "accept": false, + "reason": "Wan single-file support vs. Wan Video2Video pipeline feature; adjacent but distinct changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 118, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1103", + "pull_request:11037", + "pull_request:1104", + "pull_request:11113", + "pull_request:11204", + "pull_request:11212", + "pull_request:11248", + "pull_request:113", + "pull_request:11303", + "pull_request:11325", + "pull_request:11434", + "pull_request:11439", + "pull_request:1147", + "pull_request:11473", + "pull_request:11478", + "pull_request:11485", + "pull_request:11529", + "pull_request:11537", + "pull_request:11558", + "pull_request:1157", + "pull_request:11600", + "pull_request:11602", + "pull_request:11613", + "pull_request:11623", + "pull_request:11634", + "pull_request:11697", + "pull_request:11740", + "pull_request:11789", + "pull_request:11953", + "pull_request:11954", + "pull_request:11979", + "pull_request:11983", + "pull_request:12070", + "pull_request:12193", + "pull_request:12228", + "pull_request:12259", + "pull_request:12343", + "pull_request:12487", + "pull_request:12552", + "pull_request:1311", + "pull_request:169", + "pull_request:2479", + "pull_request:400", + "pull_request:60", + "pull_request:848", + "pull_request:9646", + "pull_request:9754" + ], + "soft_pairs": [ + "pull_request:1103|pull_request:60", + "pull_request:11037|pull_request:11740", + "pull_request:11037|pull_request:11953", + "pull_request:1104|pull_request:1311", + "pull_request:11113|pull_request:9646", + "pull_request:11204|pull_request:9754", + "pull_request:11212|pull_request:11634", + "pull_request:11248|pull_request:11303", + "pull_request:11248|pull_request:12193", + "pull_request:113|pull_request:169", + "pull_request:113|pull_request:400", + "pull_request:11303|pull_request:12193", + "pull_request:11325|pull_request:12259", + "pull_request:11434|pull_request:11789", + "pull_request:11434|pull_request:12070", + "pull_request:11439|pull_request:11600", + "pull_request:11439|pull_request:12343", + "pull_request:1147|pull_request:2479", + "pull_request:11473|pull_request:11623", + "pull_request:11473|pull_request:11634", + "pull_request:11473|pull_request:12487", + "pull_request:11473|pull_request:12552", + "pull_request:11478|pull_request:11953", + "pull_request:11485|pull_request:11602", + "pull_request:11529|pull_request:11983", + "pull_request:11537|pull_request:11697", + "pull_request:11558|pull_request:11954", + "pull_request:1157|pull_request:848", + "pull_request:11600|pull_request:12228", + "pull_request:11613|pull_request:11979" + ], + "prepared_review_unit_hash": "85933fe7e6e6146e12333d22d59bd8186020a8f87cd90b430841eb11ad660c80", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 30, + "serialized_chars": 93908, + "estimated_input_tokens": 23477, + "estimated_eval_tokens": 47210 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated docs updates, test-only tweaks, CI changes, and distinct feature/bugfix PRs across different subsystems. I do not see a single underlying bug or change that would make these duplicates of each other.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:1103", + "right": "pull_request:60", + "accept": false, + "reason": "Unrelated fixes in different areas: a README URL typo vs. an old scheduler initialization change." + }, + { + "left": "pull_request:11037", + "right": "pull_request:11740", + "accept": false, + "reason": "Different test/CI work: peft dependency handling in nightly tests vs. adding GGUF compile/offload tests." + }, + { + "left": "pull_request:11037", + "right": "pull_request:11953", + "accept": false, + "reason": "Different test concerns: dependency setup for bnb CI vs. adding HiDream fast test slices." + }, + { + "left": "pull_request:1104", + "right": "pull_request:1311", + "accept": false, + "reason": "Different changes: slow MPS CI coverage vs. AltDiffusion tests and dependency updates." + }, + { + "left": "pull_request:11113", + "right": "pull_request:9646", + "accept": false, + "reason": "AutoencoderKL training bugfix is unrelated to Flux Dreambooth LoRA target-module configuration." + }, + { + "left": "pull_request:11204", + "right": "pull_request:9754", + "accept": false, + "reason": "PyTorch/XLA SDXL training support is unrelated to Flux LoRA quantization training scripts." + }, + { + "left": "pull_request:11212", + "right": "pull_request:11634", + "accept": false, + "reason": "Both are docs-only, but they fix different MPS/torchao documentation content and are not the same change." + }, + { + "left": "pull_request:11248", + "right": "pull_request:11303", + "accept": false, + "reason": "Flux ControlNet README typo fix is unrelated to autoencoderkl_allegro docs correction." + }, + { + "left": "pull_request:11248", + "right": "pull_request:12193", + "accept": false, + "reason": "README_flux typo fix and Qwen Dreambooth README path update are unrelated documentation edits." + }, + { + "left": "pull_request:113", + "right": "pull_request:169", + "accept": false, + "reason": "Different scheduler work: SDE-VE initialization fix vs. a JAXification pass on PNDM." + }, + { + "left": "pull_request:113", + "right": "pull_request:400", + "accept": false, + "reason": "Different scheduler/pipeline documentation refactor; no shared concrete bug or change." + }, + { + "left": "pull_request:11303", + "right": "pull_request:12193", + "accept": false, + "reason": "Different model docs: autoencoderkl_allegro snippet correction vs. Qwen README script-name fix." + }, + { + "left": "pull_request:11325", + "right": "pull_request:12259", + "accept": false, + "reason": "HiDream docstring injection is unrelated to distributed inference VAE scale-factor documentation." + }, + { + "left": "pull_request:11434", + "right": "pull_request:11789", + "accept": false, + "reason": "Import cleanup for model tests vs. HunyuanVideo Framepack device-test adjustments; different underlying issues." + }, + { + "left": "pull_request:11434", + "right": "pull_request:12070", + "accept": false, + "reason": "Generic test import fix is unrelated to Qwen image test slice updates." + }, + { + "left": "pull_request:11439", + "right": "pull_request:11600", + "accept": false, + "reason": "Hi-Dream validation bugfix is unrelated to CI filename renaming for LoRA failure reports." + }, + { + "left": "pull_request:11439", + "right": "pull_request:12343", + "accept": false, + "reason": "Different bugs in different code paths: validation cleanup vs. VAE slicing decode behavior." + }, + { + "left": "pull_request:1147", + "right": "pull_request:2479", + "accept": false, + "reason": "Flax subfolder text-encoder loading fix is unrelated to adding LoRA support for the CLIP text encoder." + }, + { + "left": "pull_request:11473", + "right": "pull_request:11623", + "accept": false, + "reason": "Both touch docs, but one is a torchao fp8 quantization typo fix and the other is a Flux pipeline wording typo." + }, + { + "left": "pull_request:11473", + "right": "pull_request:11634", + "accept": false, + "reason": "Same docs file family, but these are different torchao doc edits: fp8 naming vs. external link wording." + }, + { + "left": "pull_request:11473", + "right": "pull_request:12487", + "accept": false, + "reason": "torchao quantization typo fix is unrelated to a broad broken-links docs sweep." + }, + { + "left": "pull_request:11473", + "right": "pull_request:12552", + "accept": false, + "reason": "Different documentation typos in different topics; not the same change." + }, + { + "left": "pull_request:11478", + "right": "pull_request:11953", + "accept": false, + "reason": "HiDream transformer test enablement is unrelated to HiDream-Image fast slice tests." + }, + { + "left": "pull_request:11485", + "right": "pull_request:11602", + "accept": false, + "reason": "Both add pipeline-related code, but they are different pipelines and different features: Flex.2 vs. Sana Sprint img2img." + }, + { + "left": "pull_request:11529", + "right": "pull_request:11983", + "accept": false, + "reason": "Empty docs update vs. installation.md command correction are not the same underlying change." + }, + { + "left": "pull_request:11537", + "right": "pull_request:11697", + "accept": false, + "reason": "UNet torch.compile test addition is unrelated to quantization compile/offloading test coverage." + }, + { + "left": "pull_request:11558", + "right": "pull_request:11954", + "accept": false, + "reason": "Different test families and targets: group offloading/layerwise casting vs. Hunyuan Video slice-based regression tests." + }, + { + "left": "pull_request:1157", + "right": "pull_request:848", + "accept": false, + "reason": "Flax report_to/push_to_hub fix is unrelated to a Stable Diffusion Flax width/height bugfix." + }, + { + "left": "pull_request:11600", + "right": "pull_request:12228", + "accept": false, + "reason": "CI report filename correction is unrelated to a LoRA tutorial typo and formatting fix." + }, + { + "left": "pull_request:11613", + "right": "pull_request:11979", + "accept": false, + "reason": "Torch.compile CI revert is unrelated to adding version guards in compile-related test mixins." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 119, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1162", + "pull_request:11634", + "pull_request:1167", + "pull_request:1169", + "pull_request:1171", + "pull_request:11715", + "pull_request:1173", + "pull_request:11847", + "pull_request:1186", + "pull_request:1187", + "pull_request:11953", + "pull_request:11979", + "pull_request:11983", + "pull_request:120", + "pull_request:12018", + "pull_request:12070", + "pull_request:1211", + "pull_request:12129", + "pull_request:1218", + "pull_request:12193", + "pull_request:12197", + "pull_request:1221", + "pull_request:12228", + "pull_request:12247", + "pull_request:12259", + "pull_request:1227", + "pull_request:12360", + "pull_request:12675", + "pull_request:12775", + "pull_request:12827", + "pull_request:12883", + "pull_request:12890", + "pull_request:12902", + "pull_request:12980", + "pull_request:1360", + "pull_request:1416", + "pull_request:1487", + "pull_request:154", + "pull_request:16", + "pull_request:1601", + "pull_request:1960", + "pull_request:2433", + "pull_request:2764", + "pull_request:3132", + "pull_request:41", + "pull_request:848", + "pull_request:925" + ], + "soft_pairs": [ + "pull_request:1162|pull_request:1360", + "pull_request:1162|pull_request:925", + "pull_request:11634|pull_request:12018", + "pull_request:1167|pull_request:120", + "pull_request:1169|pull_request:1601", + "pull_request:1171|pull_request:3132", + "pull_request:11715|pull_request:11979", + "pull_request:1173|pull_request:1416", + "pull_request:11847|pull_request:12259", + "pull_request:1186|pull_request:848", + "pull_request:1187|pull_request:848", + "pull_request:11953|pull_request:12070", + "pull_request:11953|pull_request:12775", + "pull_request:11983|pull_request:12827", + "pull_request:120|pull_request:16", + "pull_request:120|pull_request:1960", + "pull_request:12018|pull_request:12902", + "pull_request:1211|pull_request:41", + "pull_request:12129|pull_request:12228", + "pull_request:12129|pull_request:12675", + "pull_request:1218|pull_request:154", + "pull_request:12193|pull_request:12890", + "pull_request:12197|pull_request:12775", + "pull_request:1221|pull_request:2764", + "pull_request:12228|pull_request:12675", + "pull_request:12247|pull_request:12980", + "pull_request:12259|pull_request:12360", + "pull_request:12259|pull_request:12883", + "pull_request:1227|pull_request:1487", + "pull_request:1227|pull_request:2433" + ], + "prepared_review_unit_hash": "fd7d9ea9c789d099669c0a3e358523b42f833ba9017950e5c5cfeed104e032ba", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 30, + "serialized_chars": 92860, + "estimated_input_tokens": 23215, + "estimated_eval_tokens": 46686 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is a loose grab-bag of mostly unrelated documentation tweaks, typo fixes, and a few small code/test changes. I do not see any soft pair that clearly reflects the same underlying bug or change, so all soft edges should be rejected.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No issue target exists. If a PR must be nominated, pull_request:1173 is the strongest representative because it is a substantive ONNX bugfix with explicit issue targets and coordinated code/test changes.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:1173 is the best standalone PR in the set: it addresses a concrete ONNX pipeline/conversion problem, touches several related files, and has explicit issue links. 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"left": "pull_request:3525", + "right": "pull_request:4258", + "accept": false, + "reason": "README showcase edits and an SDXL DreamBooth note rewrite are unrelated docs changes." + }, + { + "left": "pull_request:3549", + "right": "pull_request:5844", + "accept": false, + "reason": "Open Parti prompts docs and a Japanese SDXL reference example are different documentation additions." + }, + { + "left": "pull_request:3563", + "right": "pull_request:3690", + "accept": false, + "reason": "A UNet block conditioning fix and a Kandinsky example update address different code paths." + }, + { + "left": "pull_request:3568", + "right": "pull_request:4626", + "accept": false, + "reason": "Both fix broken links, but they target different docs pages and different link destinations, so they are not the same change." + }, + { + "left": "pull_request:3577", + "right": "pull_request:5411", + "accept": false, + "reason": "README link updates and textual inversion inference doc links are separate 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Similar naming only, not the same implementation." + }, + { + "left": "pull_request:10122", + "right": "pull_request:9257", + "accept": false, + "reason": "Flux attention-mask plumbing and Flux DreamBooth prompt tokenization are distinct fixes in different parts of the model/training flow." + }, + { + "left": "pull_request:1527", + "right": "pull_request:3298", + "accept": false, + "reason": "Stable Diffusion inpaint tensor-input support and arbitrary aspect ratio in DeepFloyd IF super-resolution are unrelated pipeline changes." + }, + { + "left": "pull_request:1564", + "right": "pull_request:3042", + "accept": false, + "reason": "DreamBooth README accelerate-config docs versus pinning accelerate minimum versions across example requirements; same tooling, different change." + }, + { + "left": "pull_request:5188", + "right": "pull_request:5393", + "accept": false, + "reason": "Adding compute_snr to training utils and updating docs to use HFApi are unrelated example/docs changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 133, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10132", + "pull_request:10148", + "pull_request:10197", + "pull_request:10200", + "pull_request:10271", + "pull_request:10370", + "pull_request:10547", + "pull_request:10554", + "pull_request:10597", + "pull_request:10850", + "pull_request:11052", + "pull_request:1137", + "pull_request:11588", + "pull_request:11639", + "pull_request:11813", + "pull_request:11818", + "pull_request:12062", + "pull_request:1219", + "pull_request:12360", + "pull_request:12450", + "pull_request:12637", + "pull_request:12797", + "pull_request:13146", + "pull_request:1424", + "pull_request:1468", + "pull_request:1527", + "pull_request:159", + "pull_request:1945", + "pull_request:1967", + "pull_request:2327", + "pull_request:2655", + "pull_request:3168", + "pull_request:397", + "pull_request:415", + "pull_request:718", + "pull_request:7634", + "pull_request:7893", + "pull_request:8404", + "pull_request:8702", + "pull_request:8722", + "pull_request:8978", + "pull_request:9077", + "pull_request:9426", + "pull_request:9524", + "pull_request:9721", + "pull_request:9739", + "pull_request:9987" + ], + "soft_pairs": [ + "pull_request:7634|pull_request:8404", + "pull_request:7893|pull_request:9721", + "pull_request:11588|pull_request:11639", + "pull_request:10132|pull_request:9426", + "pull_request:10597|pull_request:9987", + "pull_request:10148|pull_request:8702", + "pull_request:10197|pull_request:8978", + "pull_request:10200|pull_request:8722", + "pull_request:10271|pull_request:9524", + "pull_request:10370|pull_request:10850", + "pull_request:10547|pull_request:11052", + "pull_request:10554|pull_request:9077", + "pull_request:10554|pull_request:9739", + "pull_request:1137|pull_request:1527", + "pull_request:11813|pull_request:11818", + "pull_request:12062|pull_request:12450", + "pull_request:1219|pull_request:397", + "pull_request:1219|pull_request:415", + "pull_request:12360|pull_request:12797", + "pull_request:12637|pull_request:13146", + "pull_request:1424|pull_request:397", + "pull_request:1424|pull_request:415", + "pull_request:1468|pull_request:2655", + "pull_request:159|pull_request:718", + "pull_request:1945|pull_request:2327", + "pull_request:1967|pull_request:3168" + ], + "prepared_review_unit_hash": "06a991b1f6b2ec38740e85d208a7741964d3d70c7fbf9443020015f73344c1af", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 101627, + "estimated_input_tokens": 25407, + "estimated_eval_tokens": 51070 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: it mixes unrelated PRs across docs, CI, model features, and tests. I found no true duplicate pair among the soft edges, so all should be rejected.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8404 is the strongest single representative in the set: it is a large, merged feature PR with extensive review and clear end-user impact, whereas the others are mostly isolated fixes or unrelated changes.", + "best_issue_reason": null, + "best_pr_reason": "PR 8404 best fits as a representative PR because it is substantive, fully merged, and well-reviewed; it is the clearest 'mainline' artifact among otherwise unrelated entries.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7634", + "right": "pull_request:8404", + "accept": false, + "reason": "Different changes: high-res fix for SD UNet vs adding Latte video-generation support. Shared file is only an import registry and does not indicate the same bug/change." + }, + { + "left": "pull_request:7893", + "right": "pull_request:9721", + "accept": false, + "reason": "Both touch Dockerfiles, but one upgrades Python 3.10 in images while the other pins torch versions. Different infrastructure concerns and not the same change." + }, + { + "left": "pull_request:11588", + "right": "pull_request:11639", + "accept": false, + "reason": "Both are Wan-related, but one adds LoRA I2V support and the other standardizes VAE sampling in video-to-video. Different code paths and bug fixes." + }, + { + "left": "pull_request:10132", + "right": "pull_request:9426", + "accept": false, + "reason": "Both affect CI workflows, but one updates tokenizers for a specific backend test while the other upgrades the artifact uploader across workflows. Not the same underlying fix." + }, + { + "left": "pull_request:10597", + "right": "pull_request:9987", + "accept": false, + "reason": "The shared Stable Diffusion 3 docs file is not enough; one is a docs link/model-id update, the other is SD3.5 IP-Adapter integration code and tests." + }, + { + "left": "pull_request:10148", + "right": "pull_request:8702", + "accept": false, + "reason": "OmniGen feature addition and SD3 conversion script are unrelated model/pipeline changes with no shared code path." + }, + { + "left": "pull_request:10197", + "right": "pull_request:8978", + "accept": false, + "reason": "Both are broad update PRs, but they change different CI/doc/example areas and do not fix the same bug or implement the same feature." + }, + { + "left": "pull_request:10200", + "right": "pull_request:8722", + "accept": false, + "reason": "ControlNet Union refactor and embeddings refactor are separate internal codebase refactors with no common concrete change." + }, + { + "left": "pull_request:10271", + "right": "pull_request:9524", + "accept": false, + "reason": "TorchAO serialization test refactor and CogVideoX VAE conv_cache removal are unrelated; one is test restructuring, the other is model implementation cleanup." + }, + { + "left": "pull_request:10370", + "right": "pull_request:10850", + "accept": false, + "reason": "A TorchAO style/compatibility change is unrelated to adding helper utilities for diffusers hooks." + }, + { + "left": "pull_request:10547", + "right": "pull_request:11052", + "accept": false, + "reason": "These are both test-related, but they cover different models and different gating conditions; not the same concrete issue." + }, + { + "left": "pull_request:10554", + "right": "pull_request:9077", + "accept": false, + "reason": "One fixes an SD3 LoRA example bug, the other is a typo/docs cleanup PR. No shared underlying issue." + }, + { + "left": "pull_request:10554", + "right": "pull_request:9739", + "accept": false, + "reason": "The SD3 LoRA example bug fix is unrelated to the SD3 docs/model-id update." + }, + { + "left": "pull_request:1137", + "right": "pull_request:1527", + "accept": false, + "reason": "Both touch inpaint, but one fixes legacy safety-checker dtype handling while the other expands image/mask input types. Different bugs and code paths." + }, + { + "left": "pull_request:11813", + "right": "pull_request:11818", + "accept": false, + "reason": "Same broader Flux/Kontext area, but one is training/docs for Kontext while the other removes denoising-loop syncs in inference. Not mergeable as one PR." + }, + { + "left": "pull_request:12062", + "right": "pull_request:12450", + "accept": false, + "reason": "Both are CI updates, but one enables all GPUs and the other revisits installation steps and dependency setup. Distinct changes." + }, + { + "left": "pull_request:1219", + "right": "pull_request:397", + "accept": false, + "reason": "Different docs scopes: DDIM docs versus Quicktour. No shared underlying issue." + }, + { + "left": "pull_request:1219", + "right": "pull_request:415", + "accept": false, + "reason": "Different documentation updates for unrelated sections; not duplicates." + }, + { + "left": "pull_request:12360", + "right": "pull_request:12797", + "accept": false, + "reason": "Both are docs PRs, but for different models and unrelated content changes." + }, + { + "left": "pull_request:12637", + "right": "pull_request:13146", + "accept": false, + "reason": "One is a copy/comment cleanup, the other changes tokenizer typing in PAG HunYuanDiT. Not the same fix." + }, + { + "left": "pull_request:1424", + "right": "pull_request:397", + "accept": false, + "reason": "SD2 docs and Quicktour are unrelated documentation additions." + }, + { + "left": "pull_request:1424", + "right": "pull_request:415", + "accept": false, + "reason": "SD2 docs and Training docs are unrelated documentation additions." + }, + { + "left": "pull_request:1468", + "right": "pull_request:2655", + "accept": false, + "reason": "Saving trained betas in schedulers and LoRA save/load fixes are separate serialization/loading topics with different code paths." + }, + { + "left": "pull_request:159", + "right": "pull_request:718", + "accept": false, + "reason": "Both are typo cleanups, but they address different files and text; not the same underlying bug." + }, + { + "left": "pull_request:1945", + "right": "pull_request:2327", + "accept": false, + "reason": "One adds 2D UNet block tests, the other adds input-length validation to UNet constructors. Different changes." + }, + { + "left": "pull_request:1967", + "right": "pull_request:3168", + "accept": false, + "reason": "A CPU offload example tweak and a doc-builder WIP PR are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 134, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1982", + "pull_request:2138", + "pull_request:2271", + "pull_request:2322", + "pull_request:2345", + "pull_request:2398", + "pull_request:2553", + "pull_request:2759", + "pull_request:3003", + "pull_request:3006", + "pull_request:3262", + "pull_request:3292", + "pull_request:3400", + "pull_request:3536", + "pull_request:3607", + "pull_request:3637", + "pull_request:3642", + "pull_request:3653", + "pull_request:3766", + "pull_request:386", + "pull_request:388", + "pull_request:390", + "pull_request:3916", + "pull_request:3957", + "pull_request:397", + "pull_request:402", + "pull_request:404", + "pull_request:415", + "pull_request:417", + "pull_request:418", + "pull_request:4187", + "pull_request:4239", + "pull_request:4294", + "pull_request:4347", + "pull_request:453", + "pull_request:4887", + "pull_request:531", + "pull_request:555", + "pull_request:5622", + "pull_request:5707", + "pull_request:5754", + "pull_request:5895", + "pull_request:5916", + "pull_request:6405", + "pull_request:6410", + "pull_request:774", + "pull_request:909" + ], + "soft_pairs": [ + "pull_request:1982|pull_request:531", + "pull_request:2138|pull_request:4239", + "pull_request:2271|pull_request:3400", + "pull_request:2322|pull_request:3262", + "pull_request:2345|pull_request:4187", + "pull_request:2398|pull_request:4187", + "pull_request:2553|pull_request:555", + "pull_request:2759|pull_request:774", + "pull_request:2759|pull_request:909", + "pull_request:3003|pull_request:3006", + "pull_request:3292|pull_request:3536", + "pull_request:3607|pull_request:5754", + "pull_request:3637|pull_request:3916", + "pull_request:3642|pull_request:5895", + "pull_request:3653|pull_request:5622", + "pull_request:3766|pull_request:4887", + "pull_request:386|pull_request:390", + "pull_request:388|pull_request:404", + "pull_request:388|pull_request:417", + "pull_request:3957|pull_request:6405", + "pull_request:397|pull_request:415", + "pull_request:397|pull_request:418", + "pull_request:402|pull_request:453", + "pull_request:415|pull_request:418", + "pull_request:4239|pull_request:6410", + "pull_request:4294|pull_request:5916", + "pull_request:4347|pull_request:5707" + ], + "prepared_review_unit_hash": "51e24ee9fc2788b12d960b0ab08c5cce0fc8746b5ac8d6173b0a428dc018fc79", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 27, + "serialized_chars": 100947, + "estimated_input_tokens": 25237, + "estimated_eval_tokens": 50730 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set. It mixes unrelated docs, tests, example scripts, scheduler bug fixes, and feature PRs across many subsystems. None of the soft edges should be accepted.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the cluster is too heterogeneous, with unrelated changes spanning docs, tests, examples, schedulers, and major feature work.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good global representative. If forced, 5895 is the most substantial core change, but it is not actually duplicate-equivalent to the rest of the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1982", + "right": "pull_request:531", + "accept": false, + "reason": "Different test areas and failures: example script path fix vs GPU attention test expectations." + }, + { + "left": "pull_request:2138", + "right": "pull_request:4239", + "accept": false, + "reason": "A typo/doc edit is unrelated to an SDXL text-encoder code fix." + }, + { + "left": "pull_request:2271", + "right": "pull_request:3400", + "accept": false, + "reason": "Both are test-related only in the broad sense; one fixes slow test baselines, the other adds a dependency." + }, + { + "left": "pull_request:2322", + "right": "pull_request:3262", + "accept": false, + "reason": "Unrelated changes: example/inpainting and textual inversion updates versus IF model renaming/docs." + }, + { + "left": "pull_request:2345", + "right": 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a broad optimization/examples refactor." + }, + { + "left": "pull_request:3766", + "right": "pull_request:4887", + "accept": false, + "reason": "Kandinsky conversion-script updates and removing a latent input from a pipeline are different code paths." + }, + { + "left": "pull_request:386", + "right": "pull_request:390", + "accept": false, + "reason": "Both are docs, but they cover different topics and pages." + }, + { + "left": "pull_request:388", + "right": "pull_request:404", + "accept": false, + "reason": "Unconditional latent diffusion docs are unrelated to fp16 optimization docs." + }, + { + "left": "pull_request:388", + "right": "pull_request:417", + "accept": false, + "reason": "Latent diffusion docs and pipeline usage docs are separate documentation changes." + }, + { + "left": "pull_request:3957", + "right": "pull_request:6405", + "accept": false, + "reason": "A UNet attention-name correction is unrelated to a doc-builder workflow tweak." + }, + { + "left": "pull_request:397", + "right": "pull_request:415", + "accept": false, + "reason": "Quicktour docs and training docs are distinct documentation sections." + }, + { + "left": "pull_request:397", + "right": "pull_request:418", + "accept": false, + "reason": "Quicktour and DiffusionPipeline API docs are different pages, not the same edit." + }, + { + "left": "pull_request:402", + "right": "pull_request:453", + "accept": false, + "reason": "Intro-section TOC/doc overhaul is unrelated to a small installation typo fix." + }, + { + "left": "pull_request:415", + "right": "pull_request:418", + "accept": false, + "reason": "Training docs and DiffusionPipeline API docs are not the same underlying documentation change." + }, + { + "left": "pull_request:4239", + "right": "pull_request:6410", + "accept": false, + "reason": "A text-encoder-related SDXL fix is unrelated to an RL value-guided sampling registration fix." + }, + { + "left": "pull_request:4294", + "right": "pull_request:5916", + "accept": false, + "reason": "SDXL checkpoint renaming is unrelated to renaming a dreambooth output directory default." + }, + { + "left": "pull_request:4347", + "right": "pull_request:5707", + "accept": false, + "reason": "A scheduler step-index refactor and LCM test additions are different changes with different goals." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 135, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1038", + "pull_request:10454", + "pull_request:10482", + "pull_request:11273", + "pull_request:11433", + "pull_request:11469", + "pull_request:1147", + "pull_request:11516", + "pull_request:12021", + "pull_request:12530", + "pull_request:1527", + "pull_request:1554", + "pull_request:1913", + "pull_request:1968", + "pull_request:3160", + "pull_request:3476", + "pull_request:3589", + "pull_request:5111", + "pull_request:5552", + "pull_request:6007", + "pull_request:6140", + "pull_request:6150", + "pull_request:6215", + "pull_request:6229", + "pull_request:6484", + "pull_request:6643", + "pull_request:6754", + "pull_request:6765", + "pull_request:6766", + "pull_request:6767", + "pull_request:6768", + "pull_request:6800", + "pull_request:6864", + "pull_request:6999", + "pull_request:7247", + "pull_request:7627", + "pull_request:7632", + "pull_request:7941", + "pull_request:8322", + "pull_request:8386", + "pull_request:8478", + "pull_request:8572", + "pull_request:8696", + "pull_request:8978", + "pull_request:8990", + "pull_request:9506", + "pull_request:9601", + "pull_request:9620" + ], + "soft_pairs": [ + "pull_request:5552|pull_request:6150", + "pull_request:6007|pull_request:6864", + "pull_request:6140|pull_request:6643", + "pull_request:6215|pull_request:8386", + "pull_request:6754|pull_request:8978", + "pull_request:6765|pull_request:8978", + "pull_request:6766|pull_request:8978", + "pull_request:6767|pull_request:8978", + "pull_request:6768|pull_request:8978", + "pull_request:6800|pull_request:8990", + "pull_request:7247|pull_request:8696", + "pull_request:7627|pull_request:9506", + "pull_request:8322|pull_request:8572", + "pull_request:8478|pull_request:9620", + "pull_request:3160|pull_request:3476", + "pull_request:10454|pull_request:10482", + "pull_request:11516|pull_request:12021", + "pull_request:1038|pull_request:1147", + "pull_request:11469|pull_request:12530", + "pull_request:6484|pull_request:6999", + "pull_request:6229|pull_request:7941", + "pull_request:7632|pull_request:9601", + "pull_request:11273|pull_request:11433", + "pull_request:1527|pull_request:1913", + "pull_request:1554|pull_request:1968", + "pull_request:3589|pull_request:5111" + ], + "prepared_review_unit_hash": "6322b16064971804fa3f4e60e36d83c80648330117b846b4437d718918aaac23", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 100829, + "estimated_input_tokens": 25208, + "estimated_eval_tokens": 50672 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a grab bag of unrelated PRs across docs, tests, schedulers, loaders, and pipelines. The only clearly duplicate-like pair is the two HunyuanVideo attention-mask fixes; everything else is a false positive on broad subsystem similarity.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR exists for the full cluster; the only real duplicate pair is pull_request:10454 / pull_request:10482, and 10482 is the more complete HunyuanVideo attention-mask fix.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:10482 is the best representative among the near-duplicate pair because it makes the same HunyuanVideo attention-mask correction more completely and directly addresses the NaN failure path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5552", + "right": "pull_request:6150", + "accept": false, + "reason": "Unrelated changes: FreeU disable bugfix vs IP-Adapter conversion support in loaders." + }, + { + "left": "pull_request:6007", + "right": "pull_request:6864", + "accept": false, + "reason": "Both are docs-only, but they address different topics: copied-from mechanism vs torch.compile/LoRA guidance." + }, + { + "left": "pull_request:6140", + "right": "pull_request:6643", + "accept": false, + "reason": "Shared docs/toctree edits only; IP-Adapter API docs and UViT2D docs are different additions." + }, + { + "left": "pull_request:6215", + "right": "pull_request:8386", + "accept": false, + "reason": "Different test maintenance work: PixArt seed/init stabilization vs broad output_shape refactor." + }, + { + "left": "pull_request:6754", + "right": "pull_request:8978", + "accept": false, + "reason": "Different changesets and purposes: DPO loss fix vs a large notebook/example update." + }, + { + "left": "pull_request:6765", + "right": "pull_request:8978", + "accept": false, + "reason": "Hub cache path cleanup and example/notebook update are unrelated." + }, + { + "left": "pull_request:6766", + "right": "pull_request:8978", + "accept": false, + "reason": "Constants path handling and example/notebook update are unrelated." + }, + { + "left": "pull_request:6767", + "right": "pull_request:8978", + "accept": false, + "reason": "Flax pretrained-path handling and example/notebook update are unrelated." + }, + { + "left": "pull_request:6768", + "right": "pull_request:8978", + "accept": false, + "reason": "Config path handling and example/notebook update are unrelated." + }, + { + "left": "pull_request:6800", + "right": "pull_request:8990", + "accept": false, + "reason": "Import/util availability helper vs adding a PAG ControlNet pipeline; no shared bug or code path." + }, + { + "left": "pull_request:7247", + "right": "pull_request:8696", + "accept": false, + "reason": "Test config checking fix vs Marigold flakiness annotations; different test failures." + }, + { + "left": "pull_request:7627", + "right": "pull_request:9506", + "accept": false, + "reason": "Playground img2img latents handling vs unrelated docs cleanup; no same underlying fix." + }, + { + "left": "pull_request:8322", + "right": "pull_request:8572", + "accept": false, + "reason": "Both are errata-style PRs, but they touch different files and different edits; not the same concrete change." + }, + { + "left": "pull_request:8478", + "right": "pull_request:9620", + "accept": false, + "reason": "HunyuanDiT ControlNet addition vs ControlNet interrupt support are different features and code paths." + }, + { + "left": "pull_request:3160", + "right": "pull_request:3476", + "accept": false, + "reason": "Same broad Karras-sigmas theme, but they modify different scheduler classes and are separate feature additions." + }, + { + "left": "pull_request:10454", + "right": "pull_request:10482", + "accept": true, + "reason": "Both fix the same HunyuanVideo attention-mask code path in the same file; 10482 is a fuller version of the same shape/NaN fix." + }, + { + "left": "pull_request:11516", + "right": "pull_request:12021", + "accept": false, + "reason": "LTX Video release/versioning work vs later attention-backend support in the LTX transformer; different concrete changes." + }, + { + "left": "pull_request:1038", + "right": "pull_request:1147", + "accept": false, + "reason": "Both Flax example PRs, but one fixes dtype and the other fixes text-encoder loading; different bugs." + }, + { + "left": "pull_request:11469", + "right": "pull_request:12530", + "accept": false, + "reason": "Different flaky-test work on different pipelines and versions; not the same failing test or root cause." + }, + { + "left": "pull_request:6484", + "right": "pull_request:6999", + "accept": false, + "reason": "Both touch Stable Video Diffusion, but they address different bugs: GPU generator support vs tensor image preprocessing." + }, + { + "left": "pull_request:6229", + "right": "pull_request:7941", + "accept": false, + "reason": "Test CI dependency addition vs marking a test class slow; unrelated maintenance changes." + }, + { + "left": "pull_request:7632", + "right": "pull_request:9601", + "accept": false, + "reason": "DreamBooth VAE path/loading fix vs SD3 training VAE dtype control; not the same bug." + }, + { + "left": "pull_request:11273", + "right": "pull_request:11433", + "accept": false, + "reason": "Release notification timeout cleanup vs test decorator rename; unrelated." + }, + { + "left": "pull_request:1527", + "right": "pull_request:1913", + "accept": false, + "reason": "Stable Diffusion inpaint tensor-input support vs img2img input validation; different pipeline behaviors." + }, + { + "left": "pull_request:1554", + "right": "pull_request:1968", + "accept": false, + "reason": "Docs correction for UNet/Versatile Diffusion vs CPU offload behavior update; not the same change." + }, + { + "left": "pull_request:3589", + "right": "pull_request:5111", + "accept": false, + "reason": "Both mention Karras or reference tricks, but one is community README examples and the other adds scheduler support; different code paths and scope." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet, and the soft-edge decisions are appropriately conservative. The only accepted pair, pull_request:10454 / pull_request:10482, is plausibly the same HunyuanVideo attention-mask bugfix and mergeable into one PR. The rest are correctly treated as false positives from broad subsystem similarity." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 136, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10021", + "pull_request:10086", + "pull_request:10966", + "pull_request:10968", + "pull_request:11089", + "pull_request:11243", + "pull_request:11366", + "pull_request:11614", + "pull_request:11841", + "pull_request:1229", + "pull_request:12315", + "pull_request:12450", + "pull_request:12493", + "pull_request:1468", + "pull_request:152", + "pull_request:1913", + "pull_request:1945", + "pull_request:2706", + "pull_request:2928", + "pull_request:2959", + "pull_request:2968", + "pull_request:3037", + "pull_request:3298", + "pull_request:3499", + "pull_request:3536", + "pull_request:3632", + "pull_request:3798", + "pull_request:4451", + "pull_request:4855", + "pull_request:5035", + "pull_request:5788", + "pull_request:5792", + "pull_request:5946", + "pull_request:5948", + "pull_request:6261", + "pull_request:6432", + "pull_request:6448", + "pull_request:6904", + "pull_request:7044", + "pull_request:7068", + "pull_request:7277", + "pull_request:7455", + "pull_request:788", + "pull_request:8467", + "pull_request:8510", + "pull_request:8512", + "pull_request:8761", + "pull_request:8937" + ], + "soft_pairs": [ + "pull_request:3798|pull_request:5948", + "pull_request:4451|pull_request:6261", + "pull_request:4855|pull_request:5788", + "pull_request:5946|pull_request:6448", + "pull_request:10086|pull_request:8467", + "pull_request:10966|pull_request:11366", + "pull_request:11089|pull_request:11841", + "pull_request:11614|pull_request:12450", + "pull_request:1229|pull_request:152", + "pull_request:12315|pull_request:12493", + "pull_request:1468|pull_request:3298", + "pull_request:1913|pull_request:3536", + "pull_request:1945|pull_request:2706", + "pull_request:2928|pull_request:3298", + "pull_request:2968|pull_request:788", + "pull_request:5035|pull_request:5792", + "pull_request:6432|pull_request:8510", + "pull_request:6904|pull_request:8937", + "pull_request:7044|pull_request:8761", + "pull_request:7455|pull_request:8512", + "pull_request:11243|pull_request:12315", + "pull_request:7068|pull_request:7277", + "pull_request:2959|pull_request:3037", + "pull_request:3499|pull_request:3632", + "pull_request:10021|pull_request:10968" + ], + "prepared_review_unit_hash": "6e5df18eef885b75ec708e82e44fa1440c50ab0c441f3134ca02d8aa6c30434a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 104259, + "estimated_input_tokens": 26065, + "estimated_eval_tokens": 52386 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated PRs that only share broad subsystem or doc/test similarity. I rejected all soft edges; none look like the same concrete bug or change. The closest pairings are versioned follow-ups or same-file edits with different purposes, not mergeable duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR cleanly represents a duplicate cluster here: the PRs span unrelated fixes, refactors, docs, tests, and feature work across different areas.", + "best_issue_reason": null, + "best_pr_reason": "PR 10968 is the strongest standalone change in the set: it is the most complete LTX update, bundling code, docs, converter updates, and tests. That said, it is not a duplicate of the earlier LTX PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3798", + "right": "pull_request:5948", + "accept": false, + "reason": "Comment/typo cleanup in training scripts vs a from_pretrained warning behavior fix; different files and different problems." + }, + { + "left": "pull_request:4451", + "right": "pull_request:6261", + "accept": false, + "reason": "Nightly test-move changes vs a Stable Diffusion Attend-and-Excite refactor; unrelated intent and code path." + }, + { + "left": "pull_request:4855", + "right": "pull_request:5788", + "accept": false, + "reason": "CPU offload / hook handling vs LCM timestep error handling; different subsystems and no shared bug." + }, + { + "left": "pull_request:5946", + "right": "pull_request:6448", + "accept": false, + "reason": "Example test refactor vs LoRA assertion cleanup; these are separate test-maintenance changes." + }, + { + "left": "pull_request:10086", + "right": "pull_request:8467", + "accept": false, + "reason": "SD3 skip-guidance batching bug vs SEGA device-placement fix; different pipelines and failure modes." + }, + { + "left": "pull_request:10966", + "right": "pull_request:11366", + "accept": false, + "reason": "CogView4 input-shape validation vs Hidream transformer output signature; unrelated code paths." + }, + { + "left": "pull_request:11089", + "right": "pull_request:11841", + "accept": false, + "reason": "Wan docs rewrite vs batch generation docs; both documentation-only and not the same change." + }, + { + "left": "pull_request:11614", + "right": "pull_request:12450", + "accept": false, + "reason": "Docker CI loop/security tweak vs broad CI install rework; same CI area but different fixes." + }, + { + "left": "pull_request:1229", + "right": "pull_request:152", + "accept": false, + "reason": "Dreambooth README wording vs local image-folder training support; different content and functionality." + }, + { + "left": "pull_request:12315", + "right": "pull_request:12493", + "accept": false, + "reason": "LoRA test scheduler cleanup vs LTX 0.9.8 feature work; unrelated scope." + }, + { + "left": "pull_request:1468", + "right": "pull_request:3298", + "accept": false, + "reason": "Scheduler serialization support vs IF super-resolution aspect-ratio support; different components and behaviors." + }, + { + "left": "pull_request:1913", + "right": "pull_request:3536", + "accept": false, + "reason": "Input type validation vs PIL normalization fix; same general area but distinct bugs." + }, + { + "left": "pull_request:1945", + "right": "pull_request:2706", + "accept": false, + "reason": "Adding UNet block tests vs EMA save/restore logic in training; not the same underlying change." + }, + { + "left": "pull_request:2928", + "right": "pull_request:3298", + "accept": false, + "reason": "Custom local dataset loading for ControlNet vs arbitrary aspect ratio for IF super-res; unrelated features." + }, + { + "left": "pull_request:2968", + "right": "pull_request:788", + "accept": false, + "reason": "Post-processing bug fix in img2img vs PIL sampler warning cleanup; different issues despite shared pipeline area." + }, + { + "left": "pull_request:5035", + "right": "pull_request:5792", + "accept": false, + "reason": "Import-dependency cleanup vs example test refactor; no shared code-path bug." + }, + { + "left": "pull_request:6432", + "right": "pull_request:8510", + "accept": false, + "reason": "README learning-rate tweak vs scheduler math fix in advanced training scripts; not duplicates." + }, + { + "left": "pull_request:6904", + "right": "pull_request:8937", + "accept": false, + "reason": "load_image PIL support vs AuraFlow long-prompt handling; unrelated utilities and pipeline behavior." + }, + { + "left": "pull_request:7044", + "right": "pull_request:8761", + "accept": false, + "reason": "UNet refactor rework vs Hunyuan embedding refactor; broad model-internals similarity only, not the same change." + }, + { + "left": "pull_request:7455", + "right": "pull_request:8512", + "accept": false, + "reason": "distutils removal vs deprecating prepare_mask_and_masked_image; separate maintenance changes." + }, + { + "left": "pull_request:11243", + "right": "pull_request:12315", + "accept": false, + "reason": "Musubi Wan LoRA support vs test-suite scheduler simplification; different layers of the stack and different goals." + }, + { + "left": "pull_request:7068", + "right": "pull_request:7277", + "accept": false, + "reason": "General typo/import cleanup vs a much larger deprecated-parameter and typo sweep; similar editorial intent but not the same change." + }, + { + "left": "pull_request:2959", + "right": "pull_request:3037", + "accept": false, + "reason": "UNet3D test adjustment vs skipping an unstable MPS test; both test-only, but different failures." + }, + { + "left": "pull_request:3499", + "right": "pull_request:3632", + "accept": false, + "reason": "Same panorama file, but one fixes a DPMSolver bug while the other adds view batching; different concrete changes." + }, + { + "left": "pull_request:10021", + "right": "pull_request:10968", + "accept": false, + "reason": "Initial LTX integration vs later 0.9.5 versioned update; related project area, but not the same underlying bug or change and not plausibly one merged PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 137, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10140", + "pull_request:10148", + "pull_request:10326", + "pull_request:10430", + "pull_request:10454", + "pull_request:10478", + "pull_request:10537", + "pull_request:10579", + "pull_request:10837", + "pull_request:10943", + "pull_request:10981", + "pull_request:11052", + "pull_request:11089", + "pull_request:11091", + "pull_request:11142", + "pull_request:11252", + "pull_request:11434", + "pull_request:12005", + "pull_request:12086", + "pull_request:12137", + "pull_request:12420", + "pull_request:12490", + "pull_request:13022", + "pull_request:13081", + "pull_request:2595", + "pull_request:2928", + "pull_request:3708", + "pull_request:382", + "pull_request:3928", + "pull_request:401", + "pull_request:4112", + "pull_request:4408", + "pull_request:4819", + "pull_request:5393", + "pull_request:5407", + "pull_request:5747", + "pull_request:5952", + "pull_request:6065", + "pull_request:6308", + "pull_request:6311", + "pull_request:6405", + "pull_request:7247", + "pull_request:7461", + "pull_request:7771", + "pull_request:8618", + "pull_request:8652", + "pull_request:8722", + "pull_request:9918" + ], + "soft_pairs": [ + "pull_request:10537|pull_request:11142", + "pull_request:2595|pull_request:3928", + "pull_request:6311|pull_request:6405", + "pull_request:4408|pull_request:4819", + "pull_request:12490|pull_request:13022", + "pull_request:10943|pull_request:10981", + "pull_request:10326|pull_request:11252", + "pull_request:10478|pull_request:11434", + "pull_request:2928|pull_request:3708", + "pull_request:382|pull_request:401", + "pull_request:4112|pull_request:5747", + "pull_request:5393|pull_request:5407", + "pull_request:5952|pull_request:6065", + "pull_request:8618|pull_request:8722", + "pull_request:10140|pull_request:10430", + "pull_request:6308|pull_request:7461", + "pull_request:7247|pull_request:7771", + "pull_request:10148|pull_request:8652", + "pull_request:10454|pull_request:10837", + "pull_request:10579|pull_request:9918", + "pull_request:11052|pull_request:11089", + "pull_request:11091|pull_request:12086", + "pull_request:12005|pull_request:12420", + "pull_request:12137|pull_request:13081" + ], + "prepared_review_unit_hash": "a0a130c77ce5306a34168147a4b427bb091c58b9315aad884f5f66c35f013d05", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 102768, + "estimated_input_tokens": 25692, + "estimated_eval_tokens": 51640 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated feature additions, docs-only updates, small style fixes, and test/util tweaks. The soft edges mostly come from broad topical overlap or shared files, not the same underlying change, so none should be merged as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:10537", + "right": "pull_request:11142", + "accept": false, + "reason": "Unrelated changes: Sana-4K PAG pipeline tweaks vs Sana Sprint converter fixes. Same area, different code paths and problems." + }, + { + "left": "pull_request:2595", + "right": "pull_request:3928", + "accept": false, + "reason": "Both touch schedulers, but one is config-switch correctness and the other is a controlnet timestep bug. Different issues and can\u2019t be merged into one concrete fix." + }, + { + "left": "pull_request:6311", + "right": "pull_request:6405", + "accept": false, + "reason": "A docs/tutorial addition versus a documentation build workflow experiment. 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Shared framework files only reflect broad integration work, not one duplicate change." + }, + { + "left": "pull_request:10454", + "right": "pull_request:10837", + "accept": false, + "reason": "Hunyuan video attention-mask dimension fix vs SkyReels Hunyuan pipeline addition. Different concrete problems." + }, + { + "left": "pull_request:10579", + "right": "pull_request:9918", + "accept": false, + "reason": "Completely different examples/docs additions: attentive eraser community pipeline vs server example." + }, + { + "left": "pull_request:11052", + "right": "pull_request:11089", + "accept": false, + "reason": "Test decorator addition for CUDA compatibility vs Wan docs updates. No duplicate bug/change." + }, + { + "left": "pull_request:11091", + "right": "pull_request:12086", + "accept": false, + "reason": "Flux remote encode cleanup vs modular Flux I2I support. 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different problems." + }, + { + "left": "pull_request:2970", + "right": "pull_request:4396", + "accept": false, + "reason": "Variable rename in DreamBooth Inpaint vs prompt encoding without text_encoder instance state; unrelated." + }, + { + "left": "pull_request:2983", + "right": "pull_request:4963", + "accept": false, + "reason": "Test-deps instructions vs installing accelerate main in CI; different infra fixes." + }, + { + "left": "pull_request:3054", + "right": "pull_request:3321", + "accept": false, + "reason": "Separate documentation pages and topics; no duplicate change." + }, + { + "left": "pull_request:3292", + "right": "pull_request:4887", + "accept": false, + "reason": "Training-time input perturbation vs removing a latent input from Kandinsky prior_emb2emb." + }, + { + "left": "pull_request:3321", + "right": "pull_request:5407", + "accept": false, + "reason": "Docs update vs mixed-precision training example fix; unrelated." + }, + { + "left": "pull_request:3397", + "right": "pull_request:3746", + "accept": false, + "reason": "Local directory note in docs vs from_ckpt path joining bug; 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similar theme but not one concrete change." + }, + { + "left": "pull_request:11979", + "right": "pull_request:12736", + "accept": false, + "reason": "Compile-test version gating vs regional compilation enablement on a model; different fixes." + }, + { + "left": "pull_request:5559", + "right": "pull_request:6114", + "accept": false, + "reason": "New LCM img2img pipeline vs adding img2img/inpaint support to lpw-xl community script; different features." + }, + { + "left": "pull_request:12812", + "right": "pull_request:13280", + "accept": false, + "reason": "Both touch attention backend plumbing, but one enables CP for kernels backends and the other adds FlashAttention-4 support; not the same PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 139, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10200", + "pull_request:10354", + "pull_request:10704", + "pull_request:10850", + "pull_request:11254", + "pull_request:1128", + "pull_request:11455", + "pull_request:11465", + "pull_request:11916", + "pull_request:11995", + "pull_request:12004", + "pull_request:12074", + "pull_request:12092", + "pull_request:12236", + "pull_request:12419", + "pull_request:130", + "pull_request:13169", + "pull_request:1513", + "pull_request:1525", + "pull_request:2314", + "pull_request:2968", + "pull_request:3313", + "pull_request:3561", + "pull_request:388", + "pull_request:390", + "pull_request:4262", + "pull_request:4347", + "pull_request:6140", + "pull_request:6305", + "pull_request:6450", + "pull_request:6886", + "pull_request:689", + "pull_request:6994", + "pull_request:7007", + "pull_request:7115", + "pull_request:7319", + "pull_request:748", + "pull_request:7652", + "pull_request:7771", + "pull_request:7825", + "pull_request:8600", + "pull_request:8860", + "pull_request:9175", + "pull_request:9307", + "pull_request:9638", + "pull_request:9676", + "pull_request:9696" + ], + "soft_pairs": [ + "pull_request:12419|pull_request:13169", + "pull_request:9175|pull_request:9638", + "pull_request:10200|pull_request:9307", + "pull_request:10704|pull_request:11455", + "pull_request:10704|pull_request:11465", + "pull_request:10850|pull_request:12092", + "pull_request:11254|pull_request:9696", + "pull_request:11916|pull_request:12236", + "pull_request:130|pull_request:1513", + "pull_request:1525|pull_request:3561", + "pull_request:2314|pull_request:689", + "pull_request:2968|pull_request:748", + "pull_request:388|pull_request:390", + "pull_request:4262|pull_request:6450", + "pull_request:4347|pull_request:6305", + "pull_request:6140|pull_request:7319", + "pull_request:6450|pull_request:7007", + "pull_request:6886|pull_request:6994", + "pull_request:7115|pull_request:7652", + "pull_request:8600|pull_request:8860", + "pull_request:12004|pull_request:12074", + "pull_request:11995|pull_request:12419", + "pull_request:10354|pull_request:9676", + "pull_request:7771|pull_request:7825", + "pull_request:1128|pull_request:3313" + ], + "prepared_review_unit_hash": "8884ca5dc189f04c8dd770d7595beabc610e01f77ce5911df942b19a80fe7754", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 97691, + "estimated_input_tokens": 24423, + "estimated_eval_tokens": 49102 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are mostly unrelated PRs across different features, docs, tests, and infrastructure. None of the soft pairs look like the same concrete bug fix or change; at best they share a broad subsystem or model family name.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "No PR here is a clear duplicate-canonical for the others. If one representative must be chosen, PR 11916 is the strongest standalone candidate because it is a large, central code refactor with broad impact and high discussion activity.", + "best_issue_reason": null, + "best_pr_reason": "PR 11916 is the best overall representative: substantial implementation work, many touched files, and high review/discussion activity. 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unrelated utility changes." + }, + { + "left": "pull_request:4248", + "right": "pull_request:5665", + "accept": false, + "reason": "DreamBooth tracker config cleanup vs ControlNet preprocessing fix; no shared bug." + }, + { + "left": "pull_request:6261", + "right": "pull_request:7044", + "accept": false, + "reason": "Refactoring Attend-and-Excite placement vs UNet refactor re-addition; different architectural changes." + }, + { + "left": "pull_request:6426", + "right": "pull_request:8719", + "accept": false, + "reason": "LoRA deprecation handling across many models vs VQModelOutput doc deprecation wording; unrelated scope." + }, + { + "left": "pull_request:6886", + "right": "pull_request:7455", + "accept": false, + "reason": "Removing torch_dtype from .to() calls vs removing distutils; unrelated cleanup." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 142, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10105", + "pull_request:10122", + "pull_request:10318", + "pull_request:10342", + "pull_request:10454", + "pull_request:10983", + "pull_request:11044", + "pull_request:11269", + "pull_request:11290", + "pull_request:113", + "pull_request:11366", + "pull_request:11535", + "pull_request:11571", + "pull_request:11994", + "pull_request:12005", + "pull_request:12021", + "pull_request:12092", + "pull_request:12360", + "pull_request:12424", + "pull_request:12450", + "pull_request:12451", + "pull_request:12467", + "pull_request:12487", + "pull_request:12552", + "pull_request:12586", + "pull_request:12797", + "pull_request:12848", + "pull_request:12960", + "pull_request:13120", + "pull_request:13158", + "pull_request:13313", + "pull_request:13365", + "pull_request:1513", + "pull_request:1982", + "pull_request:402", + "pull_request:4276", + "pull_request:4987", + "pull_request:5010", + "pull_request:6241", + "pull_request:7116", + "pull_request:7216", + "pull_request:7679", + "pull_request:8522", + "pull_request:8563", + "pull_request:8631", + "pull_request:9473", + "pull_request:9601", + "pull_request:9940" + ], + "soft_pairs": [ + "pull_request:7116|pull_request:7679", + "pull_request:7216|pull_request:8631", + "pull_request:8522|pull_request:8563", + "pull_request:8563|pull_request:9601", + "pull_request:10122|pull_request:9473", + "pull_request:4276|pull_request:4987", + "pull_request:11290|pull_request:12424", + "pull_request:11994|pull_request:12960", + "pull_request:10105|pull_request:9940", + "pull_request:5010|pull_request:6241", + "pull_request:11571|pull_request:12021", + "pull_request:10454|pull_request:10983", + "pull_request:10318|pull_request:11269", + "pull_request:10342|pull_request:11366", + "pull_request:11044|pull_request:11535", + "pull_request:113|pull_request:1982", + "pull_request:12005|pull_request:12092", + "pull_request:12360|pull_request:12467", + "pull_request:12450|pull_request:13365", + "pull_request:12451|pull_request:12586", + "pull_request:12487|pull_request:12797", + "pull_request:12552|pull_request:12797", + "pull_request:12848|pull_request:13158", + "pull_request:13120|pull_request:13313", + "pull_request:1513|pull_request:402" + ], + "prepared_review_unit_hash": "b72088d2fba1de4abc043ac6e41f1004885fac8892b7e5975637bfd25a86b6a5", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 93764, + "estimated_input_tokens": 23441, + "estimated_eval_tokens": 47138 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of unrelated doc, CI, dependency, model, and loader changes. 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"pull_request:4078", + "pull_request:4262", + "pull_request:4278", + "pull_request:4669", + "pull_request:5057", + "pull_request:5220", + "pull_request:538", + "pull_request:5478", + "pull_request:5493", + "pull_request:5698", + "pull_request:5702", + "pull_request:5724", + "pull_request:5946", + "pull_request:6163", + "pull_request:6215", + "pull_request:6340", + "pull_request:6447", + "pull_request:6448", + "pull_request:6643", + "pull_request:7024", + "pull_request:8438", + "pull_request:8510", + "pull_request:8571", + "pull_request:980" + ], + "soft_pairs": [ + "pull_request:1913|pull_request:326", + "pull_request:1982|pull_request:2209", + "pull_request:2279|pull_request:538", + "pull_request:230|pull_request:980", + "pull_request:2327|pull_request:3681", + "pull_request:2365|pull_request:3471", + "pull_request:2365|pull_request:3806", + "pull_request:2415|pull_request:3054", + "pull_request:2470|pull_request:4262", + "pull_request:2487|pull_request:2553", + "pull_request:2894|pull_request:2958", + "pull_request:2970|pull_request:3957", + "pull_request:3656|pull_request:5220", + "pull_request:3681|pull_request:4078", + "pull_request:4669|pull_request:6448", + "pull_request:5057|pull_request:6447", + "pull_request:5478|pull_request:6643", + "pull_request:5493|pull_request:5946", + "pull_request:5698|pull_request:5702", + "pull_request:5724|pull_request:6163", + "pull_request:6215|pull_request:8510", + "pull_request:6340|pull_request:7024", + "pull_request:8438|pull_request:8571", + "pull_request:12714|pull_request:13321", + "pull_request:2902|pull_request:4278" + ], + "prepared_review_unit_hash": "1aad25f565b411792a14b16e7ae4263449320f5846e7164b8f52b826abc6b13b", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, 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If one PR must represent the cluster, it would be a substantive core refactor, not a duplicate anchor.", + "best_issue_reason": null, + "best_pr_reason": "PR 5493 is the best representative artifact: it is a real cross-cutting core-code refactor with broad impact, whereas most other items are narrow docs/test/maintenance changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1913", + "right": "pull_request:326", + "accept": false, + "reason": "Both touch img2img-related files, but one is input validation in SD img2img pipelines and the other is a type-hint/input-length cleanup in UNet/pipeline tests; different bugs and no mergeable common fix." + }, + { + "left": "pull_request:1982", + "right": "pull_request:2209", + "accept": false, + "reason": "One updates example tests, the other fixes a docs example argument name; same broad area, but not the same concrete change." + }, + { + "left": "pull_request:2279", + "right": "pull_request:538", + "accept": false, + "reason": "Both affect tooling/dependency files, but one switches lint tooling and one bumps huggingface-hub; 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not the same bug or mergeable fix." + }, + { + "left": "pull_request:5057", + "right": "pull_request:6447", + "accept": false, + "reason": "SDXL clip-skip support and K-Diffusion pipeline docs/code are different features." + }, + { + "left": "pull_request:5478", + "right": "pull_request:6643", + "accept": false, + "reason": "Japanese docs rollout and UViT2D docs are separate documentation additions." + }, + { + "left": "pull_request:5493", + "right": "pull_request:5946", + "accept": false, + "reason": "Core activation/normalization refactor versus example test refactor; they overlap only in being repo maintenance work." + }, + { + "left": "pull_request:5698", + "right": "pull_request:5702", + "accept": false, + "reason": "Both are AnimateDiff/LCM-adjacent, but one fixes img2img LoRA/offload behavior and the other fixes prompt handling in AnimateDiff; different code paths." + }, + { + "left": "pull_request:5724", + "right": "pull_request:6163", + "accept": false, + "reason": "Both touch LoRA tests, but one adds PEFT backend gating and the other adds xformers test coverage; not the same underlying issue." + }, + { + "left": "pull_request:6215", + "right": "pull_request:8510", + "accept": false, + "reason": "PixArt test initialization and DreamBooth LR scheduler fixes are unrelated." + }, + { + "left": "pull_request:6340", + "right": "pull_request:7024", + "accept": false, + "reason": "AnimateDiff conversion scripts and AnimateLCM docs are different artifacts serving different purposes." + }, + { + "left": "pull_request:8438", + "right": "pull_request:8571", + "accept": false, + "reason": "A broad errata/doc cleanup and a style/typo pass are not the same concrete change." + }, + { + "left": "pull_request:12714", + "right": "pull_request:13321", + "accept": false, + "reason": "Flux2 LoRA NaN test fixes and a Cosmos torchvision-import guard are unrelated code paths." + }, + { + "left": "pull_request:2902", + "right": "pull_request:4278", + "accept": false, + "reason": "Both affect img2img-family pipelines, but one adds cross_attention_kwargs support and the other fixes prompt=None handling in upscale; distinct bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 144, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10114", + "pull_request:10188", + "pull_request:10200", + "pull_request:10245", + "pull_request:10431", + "pull_request:10538", + "pull_request:10539", + "pull_request:11238", + "pull_request:1137", + "pull_request:11479", + "pull_request:11522", + "pull_request:11614", + "pull_request:11814", + "pull_request:12363", + "pull_request:12424", + "pull_request:12438", + "pull_request:12490", + "pull_request:12491", + "pull_request:12960", + "pull_request:13081", + "pull_request:13134", + "pull_request:13330", + "pull_request:1338", + "pull_request:13410", + "pull_request:13472", + "pull_request:1508", + "pull_request:152", + "pull_request:1525", + "pull_request:1527", + "pull_request:1706", + "pull_request:1788", + "pull_request:2415", + "pull_request:2655", + "pull_request:3292", + "pull_request:3473", + "pull_request:3536", + "pull_request:3708", + "pull_request:3797", + "pull_request:4245", + "pull_request:453", + "pull_request:51", + "pull_request:748", + "pull_request:8425", + "pull_request:8591", + "pull_request:8798", + "pull_request:9592", + "pull_request:9593", + "pull_request:9676" + ], + "soft_pairs": [ + "pull_request:11522|pull_request:12438", + "pull_request:12424|pull_request:13134", + "pull_request:12490|pull_request:12960", + "pull_request:10114|pull_request:8425", + "pull_request:13410|pull_request:13472", + "pull_request:3473|pull_request:4245", + "pull_request:10188|pull_request:8798", + "pull_request:10200|pull_request:8591", + "pull_request:10245|pull_request:9592", + "pull_request:10245|pull_request:9593", + "pull_request:10431|pull_request:10538", + "pull_request:10539|pull_request:11814", + "pull_request:11238|pull_request:9676", + "pull_request:1137|pull_request:51", + "pull_request:11479|pull_request:12363", + "pull_request:11614|pull_request:12491", + "pull_request:13081|pull_request:13330", + "pull_request:1338|pull_request:748", + "pull_request:1508|pull_request:152", + "pull_request:1525|pull_request:453", + "pull_request:1527|pull_request:3292", + "pull_request:1527|pull_request:3536", + "pull_request:1706|pull_request:2415", + "pull_request:1788|pull_request:3708", + "pull_request:2655|pull_request:3797" + ], + "prepared_review_unit_hash": "78fdf4d11bb8eb0b56b9331c605e71a48b115e64dca3ae30403c118eb32f5fd8", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 92245, + "estimated_input_tokens": 23062, + "estimated_eval_tokens": 46380 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set; it mixes unrelated documentation edits, CI/workflow changes, model/pipeline bug fixes, and refactors across many subsystems. No soft edge pair appears to describe the same underlying bug or change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the PRs are heterogeneous and do not share one concrete fix or change.", + "best_issue_reason": null, + "best_pr_reason": "PR 12438 is the strongest standalone change in the set because it fixes a real core loading-path bug with broad runtime impact, but it is still not representative of the whole cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11522", + "right": "pull_request:12438", + "accept": false, + "reason": "Both touch loading-related code, but 11522 is an AudioLDM2/transformers-version compatibility tweak while 12438 handles offload_state_dict for transformers model init; different bugs." + }, + { + "left": "pull_request:12424", + "right": "pull_request:13134", + "accept": false, + "reason": "12424 is Docker/CI definition cleanup, while 13134 is a Cosmos transformer typing fix; unrelated files and failure modes." + }, + { + "left": "pull_request:12490", + "right": "pull_request:12960", + "accept": false, + "reason": "12490 only adjusts a test helper for ClapConfig in AudioLDM2; 12960 changes how is_fsdp is detected in Flux training scripts." + }, + { + "left": "pull_request:10114", + "right": "pull_request:8425", + "accept": false, + "reason": "10114 is a formatting-only Stable Audio pipeline change; 8425 just renames a workflow, so they are not the same change." + }, + { + "left": "pull_request:13410", + "right": "pull_request:13472", + "accept": false, + "reason": "Both are agent docs, but 13410 adds modular pipeline guidance while 13472 adds a float64 gotcha; different documentation topics." + }, + { + "left": "pull_request:3473", + "right": "pull_request:4245", + "accept": false, + "reason": "3473 adds textual inversion docs, whereas 4245 adds safetensors flags across many docs; unrelated documentation changes." + }, + { + "left": "pull_request:10188", + "right": "pull_request:8798", + "accept": false, + "reason": "10188 fixes Flux LoRA expansion/error handling; 8798 fixes sharded checkpoint loading from a subfolder. Different code paths and bugs." + }, + { + "left": "pull_request:10200", + "right": "pull_request:8591", + "accept": false, + "reason": "10200 refactors StableDiffusionXL ControlNet Union models/pipelines; 8591 changes SD3 training density/weighting utilities. Not the same issue." + }, + { + "left": "pull_request:10245", + "right": "pull_request:9592", + "accept": false, + "reason": "10245 updates PEFT inference docs, while 9592 only refactors docstrings for embeddings_flax; unrelated docs work." + }, + { + "left": "pull_request:10245", + "right": "pull_request:9593", + "accept": false, + "reason": "10245 is PEFT inference documentation; 9593 is a docstring cleanup in community/hd_painter.py. No shared underlying change." + }, + { + "left": "pull_request:10431", + "right": "pull_request:10538", + "accept": false, + "reason": "10431 fixes Sana transformer positional embedding behavior, while 10538 registers Sana in auto_pipeline. Related model name, but different changes." + }, + { + "left": "pull_request:10539", + "right": "pull_request:11814", + "accept": false, + "reason": "Both are Flux-related, but 10539 fixes true CFG gating and 11814 passes joint_attention_kwargs under gradient checkpointing; different code paths." + }, + { + "left": "pull_request:11238", + "right": "pull_request:9676", + "accept": false, + "reason": "11238 changes SD3 ControlNet validation behavior; 9676 only fixes an import in benchmarks. Completely unrelated." + }, + { + "left": "pull_request:1137", + "right": "pull_request:51", + "accept": false, + "reason": "1137 is a Stable Diffusion inpaint dtype fix; 51 is a setup.py dependency pin. Different subsystems and purposes." + }, + { + "left": "pull_request:11479", + "right": "pull_request:12363", + "accept": false, + "reason": "11479 renames Habana docs to Intel Gaudi; 12363 adds Qwen Image Edit Plus docs/tests. No common bug/change." + }, + { + "left": "pull_request:11614", + "right": "pull_request:12491", + "accept": false, + "reason": "11614 changes Docker image CI logic; 12491 adds documentation link checking. Both are CI, but not the same concrete fix." + }, + { + "left": "pull_request:13081", + "right": "pull_request:13330", + "accept": false, + "reason": "13081 makes Qwen hidden states contiguous for torchao; 13330 changes torchao test setup/inputs. Test support vs model runtime fix." + }, + { + "left": "pull_request:1338", + "right": "pull_request:748", + "accept": false, + "reason": "1338 fixes ONNX inpaint cast order; 748 fixes push_to_hub calls in training scripts. Different pipelines and bugs." + }, + { + "left": "pull_request:1508", + "right": "pull_request:152", + "accept": false, + "reason": "1508 clarifies DreamBooth class image counts; 152 adds local folder support for unconditional training. Separate training features/docs." + }, + { + "left": "pull_request:1525", + "right": "pull_request:453", + "accept": false, + "reason": "1525 fixes Stable Diffusion upscaling batch sizing; 453 fixes an installation typo. Not the same issue." + }, + { + "left": "pull_request:1527", + "right": "pull_request:3292", + "accept": false, + "reason": "1527 enables tensor image/mask inputs for inpaint; 3292 adds input perturbation to text-to-image training. Different functionality." + }, + { + "left": "pull_request:1527", + "right": "pull_request:3536", + "accept": false, + "reason": "1527 is about inpaint input handling, while 3536 corrects PIL normalization in DeepFloyd IF super-resolution. Different preprocessing bugs." + }, + { + "left": "pull_request:1706", + "right": "pull_request:2415", + "accept": false, + "reason": "1706 updates main docs; 2415 changes pipeline_utils version handling. One is documentation, the other is runtime loader logic." + }, + { + "left": "pull_request:1788", + "right": "pull_request:3708", + "accept": false, + "reason": "1788 fixes a DDIM scheduler bug for prediction_type='sample'; 3708 updates custom release sorting logic. Unrelated code paths." + }, + { + "left": "pull_request:2655", + "right": "pull_request:3797", + "accept": false, + "reason": "2655 fixes LoRA save/load behavior; 3797 corrects attention-head naming across model classes. Different bugs and scopes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 145, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10136", + "pull_request:10359", + "pull_request:10567", + "pull_request:10810", + "pull_request:10985", + "pull_request:11469", + "pull_request:11999", + "pull_request:12151", + "pull_request:3410", + "pull_request:3473", + "pull_request:3589", + "pull_request:3656", + "pull_request:3723", + "pull_request:3846", + "pull_request:3850", + "pull_request:3957", + "pull_request:4070", + "pull_request:4451", + "pull_request:449", + "pull_request:4749", + "pull_request:5506", + "pull_request:5747", + "pull_request:5948", + "pull_request:6150", + "pull_request:6195", + "pull_request:6215", + "pull_request:6373", + "pull_request:6426", + "pull_request:6564", + "pull_request:676", + "pull_request:6886", + "pull_request:6961", + "pull_request:6972", + "pull_request:6994", + "pull_request:7202", + "pull_request:7216", + "pull_request:7410", + "pull_request:7458", + "pull_request:7634", + "pull_request:7662", + "pull_request:8425", + "pull_request:8512", + "pull_request:8618", + "pull_request:8627", + "pull_request:8755", + "pull_request:8761", + "pull_request:9307" + ], + "soft_pairs": [ + "pull_request:3473|pull_request:4070", + "pull_request:3589|pull_request:3723", + "pull_request:3656|pull_request:4451", + "pull_request:3850|pull_request:5948", + "pull_request:3957|pull_request:6195", + "pull_request:4749|pull_request:6972", + "pull_request:5506|pull_request:7458", + "pull_request:5747|pull_request:7634", + "pull_request:6150|pull_request:6564", + "pull_request:6215|pull_request:8425", + "pull_request:6373|pull_request:7202", + "pull_request:6426|pull_request:6886", + "pull_request:6961|pull_request:8627", + "pull_request:6994|pull_request:7216", + "pull_request:7410|pull_request:8761", + "pull_request:7458|pull_request:9307", + "pull_request:7662|pull_request:8512", + "pull_request:8618|pull_request:8755", + "pull_request:10359|pull_request:11469", + "pull_request:449|pull_request:676", + "pull_request:10136|pull_request:10567", + "pull_request:10810|pull_request:12151", + "pull_request:10985|pull_request:11999", + "pull_request:3410|pull_request:3846" + ], + "prepared_review_unit_hash": "1e07bd8484bb71e7f2d8bab7296d392338b8f9b7b5edf28a328842f9317030eb", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 98115, + "estimated_input_tokens": 24529, + "estimated_eval_tokens": 49314 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of unrelated PRs across docs, tests, loaders, pipelines, and model code. No soft-edge pair looks like the same underlying change, so all candidate duplicates are rejected.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true canonical duplicate PR stands out because the items are unrelated; if a representative is needed, PR 10136 is the most substantial merged feature PR in the set with broad scope and high activity.", + "best_issue_reason": null, + "best_pr_reason": "PR 10136 is the strongest single representative here: merged, high discussion/review activity, and the broadest code impact among the listed PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3473", + "right": "pull_request:4070", + "accept": false, + "reason": "Both are docs PRs, but they cover different topics: textual inversion inference vs SDXL docs cleanup." + }, + { + "left": "pull_request:3589", + "right": "pull_request:3723", + "accept": false, + "reason": "Same broad reference-control area, but one edits README/examples while the other changes the pipeline API and image input handling." + }, + { + "left": "pull_request:3656", + "right": "pull_request:4451", + "accept": false, + "reason": "Unrelated changes: activation helper refactor versus moving many tests to nightly." + }, + { + "left": "pull_request:3850", + "right": "pull_request:5948", + "accept": false, + "reason": "Different subsystems and purposes: audio diffusion test setup versus a from_pretrained warning fix." + }, + { + "left": "pull_request:3957", + "right": "pull_request:6195", + "accept": false, + "reason": "Both touch UNet code, but they address different changes; one is a WIP attn-name correction, the other is AnimateDiff SDXL support." + }, + { + "left": "pull_request:4749", + "right": "pull_request:6972", + "accept": false, + "reason": "Different code paths: SDXL LoRA checkpointing versus IP-Adapter unload test behavior." + }, + { + "left": "pull_request:5506", + "right": "pull_request:7458", + "accept": false, + "reason": "One fixes PEFT/xFormers LoRA behavior; the other only skips dynamo tests on Python 3.12." + }, + { + "left": "pull_request:5747", + "right": "pull_request:7634", + "accept": false, + "reason": "Different changes: dataset data_dir plumbing versus adding a high-res UNet variant." + }, + { + "left": "pull_request:6150", + "right": "pull_request:6564", + "accept": false, + "reason": "Both are IP-Adapter related, but one adds a converter method and the other fixes path construction; not the same bug." + }, + { + "left": "pull_request:6215", + "right": "pull_request:8425", + "accept": false, + "reason": "Test determinism fix for PixArt versus a workflow name change; unrelated." + }, + { + "left": "pull_request:6373", + "right": "pull_request:7202", + "accept": false, + "reason": "Workflow deletion and dependency cleanup are separate maintenance changes." + }, + { + "left": "pull_request:6426", + "right": "pull_request:6886", + "accept": false, + "reason": "LoRA deprecation cleanup versus removing `torch_dtype` deprecation warnings; different APIs and problems." + }, + { + "left": "pull_request:6961", + "right": "pull_request:8627", + "accept": false, + "reason": "Single-file loader tests versus SD3 ControlNet test-size reduction; unrelated test-only changes." + }, + { + "left": "pull_request:6994", + "right": "pull_request:7216", + "accept": false, + "reason": "Both involve `from_single_file`, but one passes `torch_dtype` into loaders while the other updates the method signature/docs." + }, + { + "left": "pull_request:7410", + "right": "pull_request:8761", + "accept": false, + "reason": "FreeInit behavior fix versus Hunyuan embedding refactor; different code paths." + }, + { + "left": "pull_request:7458", + "right": "pull_request:9307", + "accept": false, + "reason": "Python-version test skipping is unrelated to the rotary embedding CPU refactor." + }, + { + "left": "pull_request:7662", + "right": "pull_request:8512", + "accept": false, + "reason": "Workflow cleanup versus removing a deprecated inpaint helper; different targets." + }, + { + "left": "pull_request:8618", + "right": "pull_request:8755", + "accept": false, + "reason": "SD3 tiny autoencoder `shift_factor` addition is separate from SD3 DreamBooth LoRA training fixes." + }, + { + "left": "pull_request:10359", + "right": "pull_request:11469", + "accept": false, + "reason": "Both touch tests, but they fix different test files and issues; not the same underlying failure." + }, + { + "left": "pull_request:449", + "right": "pull_request:676", + "accept": false, + "reason": "Both are naming cleanups, but they rename different variables in different components and are not one change." + }, + { + "left": "pull_request:10136", + "right": "pull_request:10567", + "accept": false, + "reason": "Related Hunyuan Video work, but one introduces the pipeline/model and the other adds true CFG support; separate PRs." + }, + { + "left": "pull_request:10810", + "right": "pull_request:12151", + "accept": false, + "reason": "Flux LoRA support changes versus Flax deprecation; unrelated." + }, + { + "left": "pull_request:10985", + "right": "pull_request:11999", + "accept": false, + "reason": "Both are LoRA-related, but one improves Flux ComfyUI LoRA conversion and the other adapts PEFT config injection; different fixes." + }, + { + "left": "pull_request:3410", + "right": "pull_request:3846", + "accept": false, + "reason": "DeepSpeed plugin retrieval and random seeding are unrelated changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 146, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10119", + "pull_request:10246", + "pull_request:10418", + "pull_request:10808", + "pull_request:11089", + "pull_request:11250", + "pull_request:11366", + "pull_request:11421", + "pull_request:11535", + "pull_request:11896", + "pull_request:12142", + "pull_request:12143", + "pull_request:12425", + "pull_request:13022", + "pull_request:1513", + "pull_request:152", + "pull_request:1913", + "pull_request:2398", + "pull_request:2641", + "pull_request:3042", + "pull_request:327", + "pull_request:3681", + "pull_request:3707", + "pull_request:4622", + "pull_request:4635", + "pull_request:4695", + "pull_request:5053", + "pull_request:5057", + "pull_request:5438", + "pull_request:5439", + "pull_request:5477", + "pull_request:5713", + "pull_request:5823", + "pull_request:5928", + "pull_request:6225", + "pull_request:6289", + "pull_request:6328", + "pull_request:6698", + "pull_request:6743", + "pull_request:6828", + "pull_request:6918", + "pull_request:7058", + "pull_request:7246", + "pull_request:7771", + "pull_request:9212", + "pull_request:9234", + "pull_request:9909" + ], + "soft_pairs": [ + "pull_request:4622|pull_request:4635", + "pull_request:5053|pull_request:5439", + "pull_request:5823|pull_request:7058", + "pull_request:5928|pull_request:6328", + "pull_request:6289|pull_request:6698", + "pull_request:9212|pull_request:9234", + "pull_request:11421|pull_request:12142", + "pull_request:11421|pull_request:12143", + "pull_request:1513|pull_request:152", + "pull_request:1913|pull_request:327", + "pull_request:2398|pull_request:2641", + "pull_request:2641|pull_request:3707", + "pull_request:3042|pull_request:3681", + "pull_request:6225|pull_request:6743", + "pull_request:6743|pull_request:6918", + "pull_request:5438|pull_request:5477", + "pull_request:7246|pull_request:7771", + "pull_request:10808|pull_request:11896", + "pull_request:4695|pull_request:5057", + "pull_request:5713|pull_request:6828", + "pull_request:10119|pull_request:11089", + "pull_request:10246|pull_request:9909", + "pull_request:10418|pull_request:11250", + "pull_request:11366|pull_request:11535", + "pull_request:12425|pull_request:13022" + ], + "prepared_review_unit_hash": "bdc12b42243ac90a77ae1c41f11ae9de3afc404aef3afb187bcb3121976ac776", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 99888, + "estimated_input_tokens": 24972, + "estimated_eval_tokens": 50200 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Nearly all soft pairs are broad-topic false positives; only the two Wan VACE mask-casting fixes are the same underlying bug, with the later PR adding tests. I\u2019d treat 12143 as the canonical PR for that fix.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12143 is the best canonical PR because it fixes the same Wan VACE bf16/fp16 mask dtype bug as 12142 and also includes test coverage, making it the more complete representative of that change.", + "best_issue_reason": null, + "best_pr_reason": "PR 12143 is the strongest representative item in this set: it addresses the concrete code-path bug directly, is merged, and adds validation beyond the bare fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4622", + "right": "pull_request:4635", + "accept": false, + "reason": "Both are docs/feature PRs, but one is PushToHubMixin docs and the other is MultiControlNet docs; they touch different changes and are not the same underlying bug/change." + }, + { + "left": "pull_request:5053", + "right": "pull_request:5439", + "accept": false, + "reason": "These affect unrelated areas: a validation_image CLI arg fix vs. from_single_file tokenizer/config loading. No shared code-path or duplicate bug." + }, + { + "left": "pull_request:5823", + "right": "pull_request:7058", + "accept": false, + "reason": "Both are LoRA-related, but one adds adapter_names to fuse_lora while the other copies dict inputs in load_lora_weights. Different concrete fixes." + }, + { + "left": "pull_request:5928", + "right": "pull_request:6328", + "accept": false, + "reason": "These are different community pipeline features (AnimateDiff+ControlNet vs. AnimateDiff video-to-video), not the same change or bug." + }, + { + "left": "pull_request:6289", + "right": "pull_request:6698", + "accept": false, + "reason": "Sparse ControlNet support and PIA pipeline/model addition are separate features with different code paths." + }, + { + "left": "pull_request:9212", + "right": "pull_request:9234", + "accept": false, + "reason": "One fixes Kolors img2img autopipeline mapping, the other fixes safetensors compatibility regression. Shared infra area, but not the same bug." + }, + { + "left": "pull_request:11421", + "right": "pull_request:12142", + "accept": false, + "reason": "Dreambooth interpolation default and Wan VACE bf16/fp16 masking are unrelated fixes in different files and subsystems." + }, + { + "left": "pull_request:11421", + "right": "pull_request:12143", + "accept": false, + "reason": "Same as above: these are unrelated changes and do not fix the same underlying problem." + }, + { + "left": "pull_request:1513", + "right": "pull_request:152", + "accept": false, + "reason": "Dreambooth docs for basic config vs. local folder training support are different documentation/features, not duplicates." + }, + { + "left": "pull_request:1913", + "right": "pull_request:327", + "accept": false, + "reason": "Input-type validation for img2img pipelines and PNDM type-hint cleanup are unrelated changes." + }, + { + "left": "pull_request:2398", + "right": "pull_request:2641", + "accept": false, + "reason": "Pix2Pix Zero docs updates and doc-builder notebook configuration are unrelated documentation changes." + }, + { + "left": "pull_request:2641", + "right": "pull_request:3707", + "accept": false, + "reason": "Both touch doc workflows, but one adds notebook build config and the other changes secrets/delete-comment workflows; different operational fixes." + }, + { + "left": "pull_request:3042", + "right": "pull_request:3681", + "accept": false, + "reason": "Accelerate minimum-version bumps and manual checkpoint-limit handling solve different training-script compatibility issues." + }, + { + "left": "pull_request:6225", + "right": "pull_request:6743", + "accept": false, + "reason": "LoRA alpha parsing and a diffusion_dpo hflip argument rename are unrelated bugs in different examples." + }, + { + "left": "pull_request:6743", + "right": "pull_request:6918", + "accept": false, + "reason": "A flip-argument correction and hub-token exposure guard are separate fixes with no shared code-path." + }, + { + "left": "pull_request:5438", + "right": "pull_request:5477", + "accept": false, + "reason": "Both are latent-consistency community pipelines, but they implement different pipeline variants (txt2img vs img2img), so they are not the same concrete change." + }, + { + "left": "pull_request:7246", + "right": "pull_request:7771", + "accept": false, + "reason": "A VAE tiling test device fix and a flaky ControlNetXS test marker are distinct test-only changes." + }, + { + "left": "pull_request:10808", + "right": "pull_request:11896", + "accept": false, + "reason": "Restricting PEFT config key updates and disabling offloading hooks when loading LoRAs are different LoRA internals fixes." + }, + { + "left": "pull_request:4695", + "right": "pull_request:5057", + "accept": false, + "reason": "TextToVideoZero SDXL support is a new pipeline feature, while clip-skip support is a prompt-encoding enhancement across SDXL/controlnet pipelines." + }, + { + "left": "pull_request:5713", + "right": "pull_request:6828", + "accept": false, + "reason": "IP-Adapter feature integration and a UNetMotionModel IP-adapter code adjustment are related broadly, but not the same concrete bug/change." + }, + { + "left": "pull_request:10119", + "right": "pull_request:11089", + "accept": false, + "reason": "Loading adapter docs and Wan docs memory optimizations are unrelated documentation changes." + }, + { + "left": "pull_request:10246", + "right": "pull_request:9909", + "accept": false, + "reason": "One adds missing AttnProcessor docs/export entries, the other expands the AttentionProcessor type union. Related area, but different changes and different scope." + }, + { + "left": "pull_request:10418", + "right": "pull_request:11250", + "accept": false, + "reason": "Internal link cleanup in PEFT docs and adding AutoModel docs are separate documentation updates." + }, + { + "left": "pull_request:11366", + "right": "pull_request:11535", + "accept": false, + "reason": "Hidream transformer output shaping and Framepack initialization order are unrelated model code changes." + }, + { + "left": "pull_request:12425", + "right": "pull_request:13022", + "accept": false, + "reason": "Torch distributed import guarding and Dockerfile CUDA base image adjustments are unrelated infrastructure fixes." + }, + { + "left": "pull_request:12142", + "right": "pull_request:12143", + "accept": true, + "reason": "Both PRs fix the same Wan VACE mask dtype ordering bug in prepare_video_latents; 12143 is the same code-path fix with added test coverage." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 147, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11588", + "pull_request:11913", + "pull_request:1494", + "pull_request:1564", + "pull_request:1788", + "pull_request:1850", + "pull_request:2430", + "pull_request:2464", + "pull_request:2470", + "pull_request:2557", + "pull_request:2593", + "pull_request:2655", + "pull_request:3054", + "pull_request:3241", + "pull_request:3561", + "pull_request:3852", + "pull_request:4215", + "pull_request:4498", + "pull_request:4787", + "pull_request:5220", + "pull_request:5289", + "pull_request:5639", + "pull_request:5946", + "pull_request:6065", + "pull_request:6114", + "pull_request:6147", + "pull_request:6195", + "pull_request:6261", + "pull_request:6340", + "pull_request:6405", + "pull_request:6643", + "pull_request:6762", + "pull_request:6775", + "pull_request:6961", + "pull_request:711", + "pull_request:715", + "pull_request:748", + "pull_request:7627", + "pull_request:7779", + "pull_request:833", + "pull_request:8386", + "pull_request:8445", + "pull_request:8452", + "pull_request:8591", + "pull_request:8709", + "pull_request:9099", + "pull_request:9447", + "pull_request:9735" + ], + "soft_pairs": [ + "pull_request:1494|pull_request:2655", + "pull_request:1564|pull_request:3561", + "pull_request:1564|pull_request:748", + "pull_request:1788|pull_request:711", + "pull_request:1850|pull_request:2470", + "pull_request:2430|pull_request:715", + "pull_request:2464|pull_request:3054", + "pull_request:2557|pull_request:748", + "pull_request:2593|pull_request:833", + "pull_request:3241|pull_request:5289", + "pull_request:3852|pull_request:4215", + "pull_request:4498|pull_request:6114", + "pull_request:4787|pull_request:6762", + "pull_request:5220|pull_request:6261", + "pull_request:5639|pull_request:6340", + "pull_request:5946|pull_request:6762", + "pull_request:6065|pull_request:6643", + "pull_request:6147|pull_request:8452", + "pull_request:6195|pull_request:6405", + "pull_request:6775|pull_request:7779", + "pull_request:6961|pull_request:8386", + "pull_request:7627|pull_request:9447", + "pull_request:8445|pull_request:9447", + "pull_request:8591|pull_request:9735", + "pull_request:11588|pull_request:11913", + "pull_request:8709|pull_request:9099" + ], + "prepared_review_unit_hash": "0f2e745a709068cfdd181ad73198a68a53a1918e8ede3d1cb02706e214b812e0", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 96861, + "estimated_input_tokens": 24216, + "estimated_eval_tokens": 48688 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the PRs span unrelated areas like LoRA loading, Wan modular pipelines, scheduler fixes, docs, tests, and SD3 features. 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related ecosystem, but not the same change." + }, + { + "left": "pull_request:5946", + "right": "pull_request:6762", + "accept": false, + "reason": "Test-suite refactor and a single flaky test adjustment are not duplicates." + }, + { + "left": "pull_request:6065", + "right": "pull_request:6643", + "accept": false, + "reason": "Docs for SDXL Turbo and docs for UViT2D are unrelated additions." + }, + { + "left": "pull_request:6147", + "right": "pull_request:8452", + "accept": false, + "reason": "Both concern single-file loading, but 6147 targets SDXL refiner plumbing while 8452 loosens generic strict loading; different defects." + }, + { + "left": "pull_request:6195", + "right": "pull_request:6405", + "accept": false, + "reason": "AnimateDiff SDXL work and doc-builder testing are unrelated." + }, + { + "left": "pull_request:6775", + "right": "pull_request:7779", + "accept": false, + "reason": "Both are docstring fixes, but for different APIs and parameters." + }, + { + "left": "pull_request:6961", + "right": "pull_request:8386", + "accept": false, + "reason": "Single-file loader tests versus test input-shape refactors; no shared bug." + }, + { + "left": "pull_request:7627", + "right": "pull_request:9447", + "accept": false, + "reason": "Playground img2img latent handling and pipeline save_pretrained shard-size defaults are separate code paths." + }, + { + "left": "pull_request:8445", + "right": "pull_request:9447", + "accept": false, + "reason": "Both alter shard-size defaults, but one changes model save_pretrained and the other pipeline save_pretrained; not the same concrete fix." + }, + { + "left": "pull_request:8591", + "right": "pull_request:9735", + "accept": false, + "reason": "SD3 training utility refactor versus an SD3 ControlNet example update; different artifacts and goals." + }, + { + "left": "pull_request:11588", + "right": "pull_request:11913", + "accept": false, + "reason": "Wan LoRA I2V support and Wan modular pipeline integration overlap on model family only; they fix/add different functionality and are not mergeable as one PR." + }, + { + "left": "pull_request:8709", + "right": "pull_request:9099", + "accept": false, + "reason": "SD3 inpaint pipeline and SD3 ControlNet inpainting are related but distinct features with different code paths; not a duplicate change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 148, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10069", + "pull_request:10117", + "pull_request:10126", + "pull_request:10271", + "pull_request:10326", + "pull_request:10354", + "pull_request:10376", + "pull_request:10482", + "pull_request:10704", + "pull_request:1089", + "pull_request:10922", + "pull_request:11052", + "pull_request:11059", + "pull_request:11066", + "pull_request:11067", + "pull_request:11196", + "pull_request:11273", + "pull_request:11290", + "pull_request:1147", + "pull_request:11614", + "pull_request:11728", + "pull_request:11823", + "pull_request:12062", + "pull_request:1215", + "pull_request:12419", + "pull_request:12425", + "pull_request:1331", + "pull_request:13364", + "pull_request:1496", + "pull_request:2915", + "pull_request:2956", + "pull_request:2959", + "pull_request:3020", + "pull_request:3337", + "pull_request:3410", + "pull_request:4927", + "pull_request:4963", + "pull_request:6490", + "pull_request:6645", + "pull_request:6752", + "pull_request:7086", + "pull_request:7714", + "pull_request:7771", + "pull_request:7941", + "pull_request:833", + "pull_request:8412", + "pull_request:8755", + "pull_request:9721" + ], + "soft_pairs": [ + "pull_request:10376|pull_request:11066", + "pull_request:10117|pull_request:10704", + "pull_request:10326|pull_request:10354", + "pull_request:2959|pull_request:3410", + "pull_request:4927|pull_request:4963", + "pull_request:6645|pull_request:7086", + "pull_request:7714|pull_request:8412", + "pull_request:7771|pull_request:7941", + "pull_request:11823|pull_request:12419", + "pull_request:6490|pull_request:6752", + "pull_request:10376|pull_request:10482", + "pull_request:2956|pull_request:3020", + "pull_request:10069|pull_request:11273", + "pull_request:10126|pull_request:8755", + "pull_request:10271|pull_request:11052", + "pull_request:1089|pull_request:1496", + "pull_request:10922|pull_request:11059", + "pull_request:11067|pull_request:9721", + "pull_request:11196|pull_request:11273", + "pull_request:11290|pull_request:12425", + "pull_request:1147|pull_request:2915", + "pull_request:11614|pull_request:11728", + "pull_request:11614|pull_request:12062", + "pull_request:1215|pull_request:833", + "pull_request:12425|pull_request:13364", + "pull_request:1331|pull_request:3337" + ], + "prepared_review_unit_hash": "1d375e44996f52d8c5890ad3381d77265691498c255a778da7ddbe0bca6b53cc", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 98420, + "estimated_input_tokens": 24605, + "estimated_eval_tokens": 49466 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a pile of topical lookalikes, not true duplicates: docs, CI, tests, LoRA conversions, and model/runtime fixes are all mixed together. I rejected every soft edge because the paired PRs target different concrete changes or code paths.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the cluster is not a duplicate set and mixes unrelated docs, CI, tests, and model/loader changes.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a strong global representative for this cluster because the items are too heterogeneous.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10376", + "right": "pull_request:11066", + "accept": false, + "reason": "Both are HunyuanVideo/Wan-adjacent LoRA work, but they fix different model formats and code paths." + }, + { + "left": "pull_request:10117", + "right": "pull_request:10704", + "accept": false, + "reason": "Both touch docs, but one fixes broken README links and the other updates img2img usage examples." + }, + { + "left": "pull_request:10326", + "right": "pull_request:10354", + "accept": false, + "reason": "CI workflow tweak vs Flux tester fix; 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unrelated." + }, + { + "left": "pull_request:10126", + "right": "pull_request:8755", + "accept": false, + "reason": "LoRA deprecation of save_attn_procs is unrelated to SD3 DreamBooth training logic." + }, + { + "left": "pull_request:10271", + "right": "pull_request:11052", + "accept": false, + "reason": "TorchAO serialization test refactor vs quantify-specific test skipping; different test concerns." + }, + { + "left": "pull_request:1089", + "right": "pull_request:1496", + "accept": false, + "reason": "Both are docs, but they add different pages for different topics and hardware." + }, + { + "left": "pull_request:10922", + "right": "pull_request:11059", + "accept": false, + "reason": "Both are LoRA-related, but one adds HunyuanVideo support while the other adds Wan t2v support." + }, + { + "left": "pull_request:11067", + "right": "pull_request:9721", + "accept": false, + "reason": "Benchmark version pinning vs Docker image torch pinning; different infrastructure changes." + }, + { + "left": "pull_request:11196", + "right": "pull_request:11273", + "accept": false, + "reason": "Safe-serialization save_pretrained change vs release-bot timeout tweak; unrelated." + }, + { + "left": "pull_request:11290", + "right": "pull_request:12425", + "accept": false, + "reason": "Dockerfile dependency pinning vs torch.distributed import guard; different fixes." + }, + { + "left": "pull_request:1147", + "right": "pull_request:2915", + "accept": false, + "reason": "Flax example loading fix vs a numerical tolerance test change; no shared underlying bug." + }, + { + "left": "pull_request:11614", + "right": "pull_request:11728", + "accept": false, + "reason": "Both touch Docker/CI-related files, but one changes build workflow behavior and the other adds quant libs to the doc-builder image." + }, + { + "left": "pull_request:11614", + "right": "pull_request:12062", + "accept": false, + "reason": "Both are CI workflow edits, but they fix different runner/container configurations." + }, + { + "left": "pull_request:1215", + "right": "pull_request:833", + "accept": false, + "reason": "A DDIM generator/device bugfix is unrelated to a version-release bump." + }, + { + "left": "pull_request:12425", + "right": "pull_request:13364", + "accept": false, + "reason": "torch.distributed import guarding vs WAN Animate blur-kernel dtype casting; different code paths." + }, + { + "left": "pull_request:1331", + "right": "pull_request:3337", + "accept": false, + "reason": "Inpainting scheduler-order fix vs broad postprocessing refactor across many pipelines; not the same concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 149, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10132", + "pull_request:11044", + "pull_request:11767", + "pull_request:1706", + "pull_request:2464", + "pull_request:2892", + "pull_request:2968", + "pull_request:3337", + "pull_request:3397", + "pull_request:3589", + "pull_request:3590", + "pull_request:4272", + "pull_request:4669", + "pull_request:4783", + "pull_request:4787", + "pull_request:5053", + "pull_request:5090", + "pull_request:5111", + "pull_request:6007", + "pull_request:6081", + "pull_request:6119", + "pull_request:6262", + "pull_request:6263", + "pull_request:6426", + "pull_request:6448", + "pull_request:6743", + "pull_request:6752", + "pull_request:6787", + "pull_request:6961", + "pull_request:7295", + "pull_request:7410", + "pull_request:7442", + "pull_request:7650", + "pull_request:7932", + "pull_request:7941", + "pull_request:816", + "pull_request:8267", + "pull_request:8370", + "pull_request:8452", + "pull_request:8496", + "pull_request:8591", + "pull_request:8652", + "pull_request:8660", + "pull_request:8719", + "pull_request:8761", + "pull_request:8937", + "pull_request:8973" + ], + "soft_pairs": [ + "pull_request:1706|pull_request:2464", + "pull_request:2892|pull_request:5053", + "pull_request:2968|pull_request:816", + "pull_request:3337|pull_request:4272", + "pull_request:3397|pull_request:5111", + "pull_request:3589|pull_request:3590", + "pull_request:3590|pull_request:5090", + "pull_request:4272|pull_request:6081", + "pull_request:4669|pull_request:4787", + "pull_request:4783|pull_request:6007", + "pull_request:6119|pull_request:7932", + "pull_request:6262|pull_request:7410", + "pull_request:6263|pull_request:7410", + "pull_request:6426|pull_request:8370", + "pull_request:6448|pull_request:8496", + "pull_request:6743|pull_request:7650", + "pull_request:6787|pull_request:8937", + "pull_request:6961|pull_request:7941", + "pull_request:7295|pull_request:8452", + "pull_request:8267|pull_request:8719", + "pull_request:8591|pull_request:8761", + "pull_request:8652|pull_request:8973", + "pull_request:6752|pull_request:7442", + "pull_request:10132|pull_request:8660", + "pull_request:11044|pull_request:11767" + ], + "prepared_review_unit_hash": "42e5d10f3b8915c383bed9b82d896985abb2afbbf5c8383e0c836a87a9a0888a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 97990, + "estimated_input_tokens": 24498, + "estimated_eval_tokens": 49252 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No safe duplicate cluster emerges here: the candidate pairs are mostly unrelated docs, tests, training, loader, or pipeline changes. 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"left": "pull_request:3397", + "right": "pull_request:5111", + "accept": false, + "reason": "Docs note addition is unrelated to scheduler API support for Karras sigmas." + }, + { + "left": "pull_request:3589", + "right": "pull_request:3590", + "accept": false, + "reason": "Both touch community README content, but they add different example features and are not the same change." + }, + { + "left": "pull_request:3590", + "right": "pull_request:5090", + "accept": false, + "reason": "Community example docs for Mixture Canvas vs a t2i-adapter code fix; different subsystems and bugs." + }, + { + "left": "pull_request:4272", + "right": "pull_request:6081", + "accept": false, + "reason": "Optional-import cleanup is unrelated to the SDXL sigma/list edit for torch.compile." + }, + { + "left": "pull_request:4669", + "right": "pull_request:4787", + "accept": false, + "reason": "Both are LoRA loader changes, but one fixes rank handling and the other tightens checkpoint-file filtering; not the same 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The soft-similarity links are mostly superficial and should not be merged as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: there is no single underlying bug/change tying these items together; they cover unrelated features and maintenance edits across different subsystems.", + "best_issue_reason": null, + "best_pr_reason": "No best PR for the cluster overall; the set is too fragmented for any one PR to serve as a representative duplicate target.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1171", + "right": "pull_request:1206", + "accept": false, + "reason": "Both are tiny typo/doc-style changes, but they fix different typos in different files and are not the same change." + }, + { + "left": "pull_request:1229", + "right": "pull_request:2590", + "accept": false, + "reason": "One updates dreambooth README wording, the other adds a CI deps-table check; unrelated maintenance work." + }, + { + "left": "pull_request:1229", + "right": "pull_request:3275", + "accept": false, + "reason": "Dreambooth docs vs. UNet block API change; no shared bug or code path." + }, + { + "left": "pull_request:12578", + "right": "pull_request:13120", + "accept": false, + "reason": "One changes modular pipeline offload behavior, the other adds tests for AutoModel load tagging; test-only follow-up, not the same fix." + }, + { + "left": "pull_request:12739", + "right": "pull_request:12921", + "accept": false, + "reason": "Both touch model export/import plumbing, but they add different transformers for different model families (ZImage vs GLM-Image), so they are separate features." + }, + { + "left": "pull_request:1554", + "right": "pull_request:453", + "accept": false, + "reason": "Different docs corrections in different areas; not the same underlying issue." + }, + { + "left": "pull_request:1945", + "right": "pull_request:3275", + "accept": false, + "reason": "One adds UNet block tests, the other adds upsample_size plumbing to attention blocks; related area, but distinct changes." + }, + { + "left": "pull_request:2327", + "right": "pull_request:2590", + "accept": false, + "reason": "UNet input validation change vs. CI workflow update; 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no shared code path." + }, + { + "left": "pull_request:6972", + "right": "pull_request:8422", + "accept": false, + "reason": "A test expectation fix for IP-Adapter unload is unrelated to subfolder-loading test infrastructure." + }, + { + "left": "pull_request:886", + "right": "pull_request:934", + "accept": false, + "reason": "Both are VAE test updates, but one changes the generator call and the other adjusts MPS-specific expected outputs; different failure modes." + }, + { + "left": "pull_request:4098", + "right": "pull_request:4819", + "accept": false, + "reason": "Both touch inpainting code, but one adds SDXL inpainting support while the other adds masked-latent input handling across multiple pipelines; broader and different change." + }, + { + "left": "pull_request:2334", + "right": "pull_request:2385", + "accept": false, + "reason": "Pix2Pix Zero feature addition vs. a utility function inside that pipeline; the latter is a follow-up helper, not the same change." + }, + { + "left": "pull_request:10970", + "right": "pull_request:11975", + "accept": false, + "reason": "Style-bot workflow replacement vs. a small training-script style fix; unrelated." + }, + { + "left": "pull_request:12451", + "right": "pull_request:13352", + "accept": false, + "reason": "Doc-builder Dockerfile package additions vs. Claude review workflow checkout step; different CI surfaces and different purposes." + }, + { + "left": "pull_request:340", + "right": "pull_request:711", + "accept": false, + "reason": "Img2Img scheduler support change vs. an alternative scheduler design proposal; not the same concrete bug fix." + }, + { + "left": "pull_request:5024", + "right": "pull_request:5111", + "accept": false, + "reason": "Both scheduler-related, but one adds step-index/noise-sampler handling to DPM-Solver-SDE while the other adds Karras sigmas support to KDPM2 schedulers; separate changes." + }, + { + "left": "pull_request:10838", + "right": "pull_request:11261", + "accept": false, + "reason": "FlashVideo pipeline work and VidTok autoencoder support are different feature areas with different code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 151, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10326", + "pull_request:10354", + "pull_request:10810", + "pull_request:10941", + "pull_request:11231", + "pull_request:11243", + "pull_request:11254", + "pull_request:11532", + "pull_request:11814", + "pull_request:11892", + "pull_request:12099", + "pull_request:12117", + "pull_request:12151", + "pull_request:12301", + "pull_request:12425", + "pull_request:12496", + "pull_request:12530", + "pull_request:12611", + "pull_request:12618", + "pull_request:12747", + "pull_request:13081", + "pull_request:13211", + "pull_request:13296", + "pull_request:13338", + "pull_request:1494", + "pull_request:152", + "pull_request:2365", + "pull_request:2489", + "pull_request:2706", + "pull_request:2959", + "pull_request:3001", + "pull_request:3351", + "pull_request:3397", + "pull_request:3766", + "pull_request:3968", + "pull_request:3989", + "pull_request:402", + "pull_request:4040", + "pull_request:4115", + "pull_request:4259", + "pull_request:4412", + "pull_request:504", + "pull_request:7328", + "pull_request:8797", + "pull_request:8798", + "pull_request:8981", + "pull_request:9676" + ], + "soft_pairs": [ + "pull_request:12117|pull_request:12301", + "pull_request:12496|pull_request:12611", + "pull_request:11243|pull_request:12151", + "pull_request:12530|pull_request:12618", + "pull_request:12530|pull_request:13296", + "pull_request:2489|pull_request:402", + "pull_request:3001|pull_request:3351", + "pull_request:3989|pull_request:4259", + "pull_request:7328|pull_request:8981", + "pull_request:3968|pull_request:4115", + "pull_request:10354|pull_request:8797", + "pull_request:10941|pull_request:11892", + "pull_request:10326|pull_request:8798", + "pull_request:10810|pull_request:11814", + "pull_request:11231|pull_request:11532", + "pull_request:11254|pull_request:9676", + "pull_request:12099|pull_request:13081", + "pull_request:12425|pull_request:13338", + "pull_request:12747|pull_request:13211", + "pull_request:1494|pull_request:152", + "pull_request:2365|pull_request:3397", + "pull_request:2365|pull_request:4040", + "pull_request:2489|pull_request:504", + "pull_request:2706|pull_request:3766", + "pull_request:2959|pull_request:4412" + ], + "prepared_review_unit_hash": "52f58b17603ff256ecdee3ca06245522fffe75b8650b116f51e051a933e94636", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 97065, + "estimated_input_tokens": 24267, + "estimated_eval_tokens": 48790 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate group: it contains unrelated workflow fixes, feature additions, test tweaks, and separate bug fixes across different subsystems. The soft matches are mostly template-driven similarity (shared package paths or common test scaffolding), not the same underlying change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical PR: the items cover unrelated code paths and product areas, so picking any one PR would be misleading rather than representative.", + "best_issue_reason": null, + "best_pr_reason": "No strong global best PR. The most substantial PRs are feature-sized additions, but the cluster has no single shared bug/change theme.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12117", + "right": "pull_request:12301", + "accept": false, + "reason": "Different Qwen-Image features: img2img/inpaint vs ControlNet-inpaint. They share package wiring but fix separate pipeline implementations and can\u2019t plausibly be merged as one PR." + }, + { + "left": "pull_request:12496", + "right": "pull_request:12611", + "accept": false, + "reason": "Unrelated Wan issues: one fixes an i2v condition shape mismatch, the other adds modular Wan blocks/guiders. Same area, but not the same bug or change." + }, + { + "left": "pull_request:11243", + "right": "pull_request:12151", + "accept": false, + "reason": "Both touch adapter/Flax-related code, but one adds Musubi Wan LoRA conversion and the other deprecates Flax support. Distinct goals and code paths." + }, + { + "left": "pull_request:12530", + "right": "pull_request:12618", + "accept": false, + "reason": "One xfails a Stable Cascade test; the other fixes a CI uv install typo. Shared timeframe only, no shared defect." + }, + { + "left": "pull_request:12530", + "right": "pull_request:13296", + "accept": false, + "reason": "Test xfail vs release-test transformer version update. Both are CI-related, but they address different failures and locations." + }, + { + "left": "pull_request:2489", + "right": "pull_request:402", + "accept": false, + "reason": "Both are docs/navigation changes, but one adds Core ML docs and the other finishes the intro section. Not the same documentation change." + }, + { + "left": "pull_request:3001", + "right": "pull_request:3351", + "accept": false, + "reason": "Both involve scheduler math/Karras, but one adds Karras to DPMSolverMultistep while the other adds use_karras_sigmas to LMSDiscreteScheduler. Separate scheduler implementations." + }, + { + "left": "pull_request:3989", + "right": "pull_request:4259", + "accept": false, + "reason": "Stable Diffusion XL offload handling vs a from_single_file circular import fix. Same ecosystem, different code-path problems." + }, + { + "left": "pull_request:7328", + "right": "pull_request:8981", + "accept": false, + "reason": "Adding torch to PyPI publish workflow is unrelated to LoRA loader/docs updates. No shared bug or change." + }, + { + "left": "pull_request:3968", + "right": "pull_request:4115", + "accept": false, + "reason": "Both touch SDXL, but one is dependency/install and workflow cleanup, the other changes denoising_start/end semantics. Different concrete changes." + }, + { + "left": "pull_request:10354", + "right": "pull_request:8797", + "accept": false, + "reason": "Flux IP-Adapter tester/device fix vs sharded checkpoint test fixes. Shared theme is testing, but the affected code paths are unrelated." + }, + { + "left": "pull_request:10941", + "right": "pull_request:11892", + "accept": false, + "reason": "Flux copy-fix in pipelines vs removing k-diffusion from core dependencies. Same repo area only, not the same change." + }, + { + "left": "pull_request:10326", + "right": "pull_request:8798", + "accept": false, + "reason": "One fixes a workflow command quoting issue, the other fixes sharded checkpoint loading from subfolder. Different failure modes and files." + }, + { + "left": "pull_request:10810", + "right": "pull_request:11814", + "accept": false, + "reason": "LoRA conversion for Flux vs passing joint_attention_kwargs under gradient checkpointing. Both are Flux-related, but they modify different runtime behaviors." + }, + { + "left": "pull_request:11231", + "right": "pull_request:11532", + "accept": false, + "reason": "HiDream Image pipeline addition vs HiDream LoRA support. Related model family, but one adds inference pipelines and the other adapter conversion/loading." + }, + { + "left": "pull_request:11254", + "right": "pull_request:9676", + "accept": false, + "reason": "ConsisID import/dependency fix vs EntryNotFoundError import cleanup. Both are import-related, but entirely different modules and issues." + }, + { + "left": "pull_request:12099", + "right": "pull_request:13081", + "accept": false, + "reason": "Qwen prompt embed device typo vs making Qwen hidden states contiguous for torchao. Same model family, different bug fixes." + }, + { + "left": "pull_request:12425", + "right": "pull_request:13338", + "accept": false, + "reason": "torch.distributed import guard vs Claude workflow id-token permission. Both are infrastructure-oriented, but unrelated files and problems." + }, + { + "left": "pull_request:12747", + "right": "pull_request:13211", + "accept": false, + "reason": "Both touch group_offloading.py, but one is feature work for pinning groups and the other is a bug fix for conditional module onload behavior. Not the same underlying change." + }, + { + "left": "pull_request:1494", + "right": "pull_request:152", + "accept": false, + "reason": "Safetensors save support vs local image folder training support. Completely different feature areas and code paths." + }, + { + "left": "pull_request:2365", + "right": "pull_request:3397", + "accept": false, + "reason": "Scheduler type note docs vs LoRA training docs note. Both are documentation-only edits, but unrelated content." + }, + { + "left": "pull_request:2365", + "right": "pull_request:4040", + "accept": false, + "reason": "Scheduler type note docs vs config default-values list fix. No shared bug or concrete implementation target." + }, + { + "left": "pull_request:2489", + "right": "pull_request:504", + "accept": false, + "reason": "Core ML docs addition vs relative link fixes in quicktour. Both docs, but different pages and issues." + }, + { + "left": "pull_request:2706", + "right": "pull_request:3766", + "accept": false, + "reason": "EMA save/restore in training vs Kandinsky conversion script update. Different training/conversion workflows and models." + }, + { + "left": "pull_request:2959", + "right": "pull_request:4412", + "accept": false, + "reason": "UNet3D norm-group test fix vs float16 inference test fix. Both are tests, but they exercise different behaviors and failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 152, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10069", + "pull_request:10114", + "pull_request:10122", + "pull_request:10206", + "pull_request:10271", + "pull_request:10293", + "pull_request:1030", + "pull_request:10358", + "pull_request:11588", + "pull_request:11728", + "pull_request:11975", + "pull_request:12363", + "pull_request:12611", + "pull_request:12642", + "pull_request:12919", + "pull_request:12982", + "pull_request:12998", + "pull_request:13017", + "pull_request:13169", + "pull_request:2902", + "pull_request:3189", + "pull_request:3313", + "pull_request:3471", + "pull_request:3561", + "pull_request:3590", + "pull_request:4112", + "pull_request:4214", + "pull_request:4262", + "pull_request:4572", + "pull_request:5186", + "pull_request:5384", + "pull_request:5420", + "pull_request:5552", + "pull_request:5792", + "pull_request:6489", + "pull_request:6759", + "pull_request:7044", + "pull_request:7442", + "pull_request:7679", + "pull_request:8285", + "pull_request:8467", + "pull_request:8660", + "pull_request:9060", + "pull_request:9065", + "pull_request:9400", + "pull_request:9426", + "pull_request:9593" + ], + "soft_pairs": [ + "pull_request:3471|pull_request:3561", + "pull_request:3590|pull_request:5384", + "pull_request:4112|pull_request:4262", + "pull_request:4214|pull_request:5792", + "pull_request:4572|pull_request:5420", + "pull_request:5186|pull_request:5552", + "pull_request:6759|pull_request:8660", + "pull_request:7044|pull_request:9065", + "pull_request:7679|pull_request:8285", + "pull_request:9060|pull_request:9426", + "pull_request:2902|pull_request:3313", + "pull_request:12919|pull_request:13017", + "pull_request:6489|pull_request:7442", + "pull_request:12982|pull_request:13169", + "pull_request:11588|pull_request:12611", + "pull_request:10069|pull_request:9400", + "pull_request:10114|pull_request:8467", + "pull_request:10122|pull_request:10206", + "pull_request:10271|pull_request:10293", + "pull_request:1030|pull_request:3189", + "pull_request:10358|pull_request:9593", + "pull_request:11728|pull_request:12363", + "pull_request:11728|pull_request:12642", + "pull_request:11975|pull_request:12998" + ], + "prepared_review_unit_hash": "d179a8b58c8892286be69fe15e4daedbbd54350579e436ff020a475791569de2", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 97213, + "estimated_input_tokens": 24304, + "estimated_eval_tokens": 48864 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose grab bag of unrelated PRs that only share broad themes like DreamBooth, Flux, NPU, docs, or style cleanup. None of the soft edges look like the same underlying bug fix or change, so they should all stay separate.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR stands out: the cluster spans unrelated documentation, test, style, dependency, and feature/fix PRs with only superficial subsystem overlap.", + "best_issue_reason": null, + "best_pr_reason": "PR #13017 is the strongest standalone candidate in the set: it has a clear bug-fix title, a specific NPU attention code-path change, and a focused implementation tied to a concrete runtime issue.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3471", + "right": "pull_request:3561", + "accept": false, + "reason": "Both are DreamBooth-related, but one is a docs note and the other changes training/upscaling logic; different changes." + }, + { + "left": "pull_request:3590", + "right": "pull_request:5384", + "accept": false, + "reason": "Completely different work: community mixture pipeline docs/code vs hypernetwork loading support." + }, + { + "left": "pull_request:4112", + "right": "pull_request:4262", + "accept": false, + "reason": "Both mention DreamBooth LoRA, but one adds rank support and the other is a broader SDXL fixes PR; not the same change." + }, + { + "left": "pull_request:4214", + "right": "pull_request:5792", + "accept": false, + "reason": "Custom Diffusion bf16 fix vs import-path cleanup across examples; unrelated." + }, + { + "left": "pull_request:4572", + "right": "pull_request:5420", + "accept": false, + "reason": "API rename/load fix for LoRA metadata vs a README/doc wording update; unrelated." + }, + { + "left": "pull_request:5186", + "right": "pull_request:5552", + "accept": false, + "reason": "Both touch FreeU, but one is a proof-of-concept implementation and the other fixes disable_freeu; distinct code-path problems." + }, + { + "left": "pull_request:6759", + "right": "pull_request:8660", + "accept": false, + "reason": "InstantID batching fix vs SD3 ControlNet input validation; unrelated." + }, + { + "left": "pull_request:7044", + "right": "pull_request:9065", + "accept": false, + "reason": "UNet refactor restoration vs SentencePiece soft-dependency wiring; unrelated." + }, + { + "left": "pull_request:7679", + "right": "pull_request:8285", + "accept": false, + "reason": "CI install command change vs adding wget to the Dockerfile; unrelated maintenance." + }, + { + "left": "pull_request:9060", + "right": "pull_request:9426", + "accept": false, + "reason": "Remove a debug print from Flux code vs CI artifact-uploader version bump; unrelated." + }, + { + "left": "pull_request:2902", + "right": "pull_request:3313", + "accept": false, + "reason": "Both affect img2img pipelines, but one adds cross_attention_kwargs support and the other fixes torch.compile breakages; different bugs." + }, + { + "left": "pull_request:12919", + "right": "pull_request:13017", + "accept": false, + "reason": "Both are NPU attention-related, but one adds Ulysses backend support and the other fixes QwenImageEditPlus attention-mask behavior; not the same issue." + }, + { + "left": "pull_request:6489", + "right": "pull_request:7442", + "accept": false, + "reason": "StyleAligned pipeline docs/code vs Differential Diffusion research-project addition; unrelated." + }, + { + "left": "pull_request:12982", + "right": "pull_request:13169", + "accept": false, + "reason": "Flux2 klein model/pipeline support vs PEFT LoRA format conversion for Flux Klein; different feature areas and not mergeable as one change." + }, + { + "left": "pull_request:11588", + "right": "pull_request:12611", + "accept": false, + "reason": "Wan I2V LoRA support vs a modular Wan pipeline overhaul; broad thematic overlap only." + }, + { + "left": "pull_request:10069", + "right": "pull_request:9400", + "accept": false, + "reason": "Quantizer device-type validation vs test helper device-agnostic updates; one is code behavior, the other is test refactoring." + }, + { + "left": "pull_request:10114", + "right": "pull_request:8467", + "accept": false, + "reason": "Stable Audio formatting cleanup vs a SEGA pipeline device fix; unrelated." + }, + { + "left": "pull_request:10122", + "right": "pull_request:10206", + "accept": false, + "reason": "Flux attention-mask wiring vs LoRA unload support for Flux Control; different concrete behaviors." + }, + { + "left": "pull_request:10271", + "right": "pull_request:10293", + "accept": false, + "reason": "TorchAO serialization test refactor vs minimum-version enforcement; one is tests, the other dependency validation." + }, + { + "left": "pull_request:1030", + "right": "pull_request:3189", + "accept": false, + "reason": "DreamBooth padding fix vs AudioLDM waveform dtype fix; unrelated." + }, + { + "left": "pull_request:10358", + "right": "pull_request:9593", + "accept": false, + "reason": "Community projects list addition vs docstring refactoring; unrelated docs-only changes." + }, + { + "left": "pull_request:11728", + "right": "pull_request:12363", + "accept": false, + "reason": "Docker quant-lib install vs QwenImageEdit Plus docs/tests; unrelated." + }, + { + "left": "pull_request:11728", + "right": "pull_request:12642", + "accept": false, + "reason": "Docker dependency update vs doc TOC update; unrelated." + }, + { + "left": "pull_request:11975", + "right": "pull_request:12998", + "accept": false, + "reason": "Both are style cleanups, but they touch different files and different formatting issues; not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 153, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11534", + "pull_request:11797", + "pull_request:11950", + "pull_request:12397", + "pull_request:12450", + "pull_request:12591", + "pull_request:1468", + "pull_request:1527", + "pull_request:1564", + "pull_request:1937", + "pull_request:2655", + "pull_request:3673", + "pull_request:3675", + "pull_request:3691", + "pull_request:3797", + "pull_request:3798", + "pull_request:3806", + "pull_request:3850", + "pull_request:453", + "pull_request:4862", + "pull_request:4963", + "pull_request:5697", + "pull_request:5754", + "pull_request:6078", + "pull_request:6119", + "pull_request:6261", + "pull_request:6564", + "pull_request:6772", + "pull_request:6886", + "pull_request:689", + "pull_request:7116", + "pull_request:7295", + "pull_request:7410", + "pull_request:7662", + "pull_request:7679", + "pull_request:7778", + "pull_request:816", + "pull_request:8267", + "pull_request:8303", + "pull_request:8425", + "pull_request:8618", + "pull_request:8627", + "pull_request:8652", + "pull_request:8719", + "pull_request:9060", + "pull_request:9323", + "pull_request:9696", + "pull_request:9918" + ], + "soft_pairs": [ + "pull_request:12397|pull_request:12450", + "pull_request:1468|pull_request:1527", + "pull_request:1564|pull_request:453", + "pull_request:1937|pull_request:3675", + "pull_request:2655|pull_request:3673", + "pull_request:3691|pull_request:3806", + "pull_request:3797|pull_request:3798", + "pull_request:3850|pull_request:6078", + "pull_request:4862|pull_request:6772", + "pull_request:4963|pull_request:5754", + "pull_request:5697|pull_request:7679", + "pull_request:6119|pull_request:8303", + "pull_request:6261|pull_request:7410", + "pull_request:6564|pull_request:8425", + "pull_request:6886|pull_request:7662", + "pull_request:6886|pull_request:8267", + "pull_request:689|pull_request:816", + "pull_request:7116|pull_request:7662", + "pull_request:7295|pull_request:8719", + "pull_request:7778|pull_request:9696", + "pull_request:8618|pull_request:8627", + "pull_request:8652|pull_request:9918", + "pull_request:9060|pull_request:9323", + "pull_request:11797|pull_request:11950", + "pull_request:11534|pull_request:12591" + ], + "prepared_review_unit_hash": "066c4a43621bc9558107f2bbe77f8b676adf9802a60b32a14d55a0da14a0550f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 99299, + "estimated_input_tokens": 24825, + "estimated_eval_tokens": 49906 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated PRs across CI, docs, quantization, loaders, pipelines, and model fixes. 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Different concrete fixes." + }, + { + "left": "pull_request:11039", + "right": "pull_request:12277", + "accept": false, + "reason": "Torch dtype / quantization handling and disabling xformers tests are unrelated changes." + }, + { + "left": "pull_request:11583", + "right": "pull_request:11618", + "accept": false, + "reason": "Removing a tutorial page and updating PyTorch 2.0 docs are unrelated documentation changes." + }, + { + "left": "pull_request:6003", + "right": "pull_request:6484", + "accept": false, + "reason": "Stable Video Diffusion inpaint work and GPU generator support are separate pipeline changes." + }, + { + "left": "pull_request:12806", + "right": "pull_request:13280", + "accept": false, + "reason": "Distributed logging/progress handling and FlashAttention-4 backend support are unrelated core changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 155, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10000", + "pull_request:10008", + "pull_request:10069", + "pull_request:10101", + "pull_request:10114", + "pull_request:10122", + "pull_request:10132", + "pull_request:10192", + "pull_request:102", + "pull_request:10218", + "pull_request:10554", + "pull_request:10728", + "pull_request:10808", + "pull_request:11081", + "pull_request:1128", + "pull_request:11479", + "pull_request:11639", + "pull_request:11904", + "pull_request:11913", + "pull_request:12028", + "pull_request:12249", + "pull_request:12416", + "pull_request:12523", + "pull_request:12909", + "pull_request:1971", + "pull_request:2040", + "pull_request:4062", + "pull_request:415", + "pull_request:433", + "pull_request:4408", + "pull_request:5448", + "pull_request:5653", + "pull_request:5887", + "pull_request:6484", + "pull_request:6646", + "pull_request:6752", + "pull_request:6868", + "pull_request:7476", + "pull_request:8631", + "pull_request:8941", + "pull_request:9175", + "pull_request:9234", + "pull_request:9542", + "pull_request:9721", + "pull_request:9840", + "pull_request:9843", + "pull_request:9896", + "pull_request:9934" + ], + "soft_pairs": [ + "pull_request:1128|pull_request:2040", + "pull_request:11904|pull_request:12028", + "pull_request:7476|pull_request:9234", + "pull_request:11639|pull_request:11913", + "pull_request:10192|pull_request:10728", + "pull_request:5448|pull_request:6752", + "pull_request:12249|pull_request:12416", + "pull_request:5887|pull_request:6868", + "pull_request:11081|pull_request:9840", + "pull_request:4062|pull_request:4408", + "pull_request:12523|pull_request:12909", + "pull_request:10808|pull_request:9542", + "pull_request:4408|pull_request:5653", + "pull_request:6484|pull_request:6646", + "pull_request:10000|pull_request:9934", + "pull_request:10008|pull_request:8941", + "pull_request:10069|pull_request:9721", + "pull_request:10101|pull_request:9843", + "pull_request:10114|pull_request:8631", + "pull_request:10122|pull_request:9896", + "pull_request:10132|pull_request:11479", + "pull_request:10192|pull_request:9175", + "pull_request:102|pull_request:1971", + "pull_request:102|pull_request:415", + "pull_request:102|pull_request:433", + "pull_request:10218|pull_request:10554" + ], + "prepared_review_unit_hash": "80f74980609a18f57d0fd6b1af5dde80088d4aeef0783edc753756a8f587b19a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 104284, + "estimated_input_tokens": 26071, + "estimated_eval_tokens": 52398 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a bag of unrelated pull requests with only superficial overlap in subsystem or file paths. 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different code paths and goals." + }, + { + "left": "pull_request:10192", + "right": "pull_request:10728", + "accept": false, + "reason": "Flux ControlNet/inpaint pipeline addition vs quantized Flux IP-Adapter handling; distinct features." + }, + { + "left": "pull_request:5448", + "right": "pull_request:6752", + "accept": false, + "reason": "LCM pipeline addition and PromptDiffusion are separate pipelines with no shared bug/change." + }, + { + "left": "pull_request:12249", + "right": "pull_request:12416", + "accept": false, + "reason": "Different model families and pipelines: Step1X-Edit vs QwenImage Edit Plus modular support." + }, + { + "left": "pull_request:5887", + "right": "pull_request:6868", + "accept": false, + "reason": "Related to IP-Adapter, but one adds support to a specific inpaint pipeline and the other introduces a broader input path across many pipelines." + }, + { + "left": "pull_request:11081", + "right": "pull_request:9840", + "accept": false, + "reason": "Group offload record_stream support and bitsandbytes CUDA placement are separate runtime features." + }, + { + "left": "pull_request:4062", + "right": "pull_request:4408", + "accept": false, + "reason": "Shap-E mesh output work is unrelated to SDXL single-file inpainting support." + }, + { + "left": "pull_request:12523", + "right": "pull_request:12909", + "accept": false, + "reason": "AutoencoderKLWan skip-keys fix vs Wan context-parallel attention fix; different bug classes." + }, + { + "left": "pull_request:10808", + "right": "pull_request:9542", + "accept": false, + "reason": "LoRA config key ambiguity fix vs Flux LoRA text-encoder compatibility; not the same underlying issue." + }, + { + "left": "pull_request:4408", + "right": "pull_request:5653", + "accept": false, + "reason": "SDXL single-file inpainting support and peft-related warning handling are unrelated." + }, + { + "left": "pull_request:6484", + "right": "pull_request:6646", + "accept": false, + "reason": "Stable Video Diffusion GPU-generator support vs resolution multiple-of-8 support; distinct pipeline issues." + }, + { + "left": "pull_request:10000", + "right": "pull_request:9934", + "accept": false, + "reason": "Mochi video-to-video pipeline addition vs Mochi docs update; docs and code are not the same concrete change." + }, + { + "left": "pull_request:10008", + "right": "pull_request:8941", + "accept": false, + "reason": "CogVideoX table formatting docs vs Stable Diffusion 3 guidance-scale docstring fix; unrelated." + }, + { + "left": "pull_request:10069", + "right": "pull_request:9721", + "accept": false, + "reason": "BnB quantizer device validation fix vs docker torch-version pinning; no shared code path." + }, + { + "left": "pull_request:10101", + "right": "pull_request:9843", + "accept": false, + "reason": "PipelineTesterMixin sigma coverage vs SD3 LoRA test data fix; both tests, but different behaviors." + }, + { + "left": "pull_request:10114", + "right": "pull_request:8631", + "accept": false, + "reason": "Stable Audio formatting cleanup vs single-file T5 loading fix; unrelated." + }, + { + "left": "pull_request:10122", + "right": "pull_request:9896", + "accept": false, + "reason": "Flux attention-mask support vs Flux device/typecasting revert; different fixes in the same subsystem." + }, + { + "left": "pull_request:10132", + "right": "pull_request:11479", + "accept": false, + "reason": "Tokenizers test-environment update vs Intel Gaudi documentation rename; unrelated." + }, + { + "left": "pull_request:102", + "right": "pull_request:1971", + "accept": false, + "reason": "Training examples update vs a scheduler docstring edit; not the same change." + }, + { + "left": "pull_request:102", + "right": "pull_request:415", + "accept": false, + "reason": "Both are docs-oriented, but one updates examples and the other updates training docs structure/content." + }, + { + "left": "pull_request:102", + "right": "pull_request:433", + "accept": false, + "reason": "Training examples changes are unrelated to the black-version dependency bump." + }, + { + "left": "pull_request:10192", + "right": "pull_request:9175", + "accept": false, + "reason": "Both involve Flux/ControlNet, but one adds a Flux control inpaint pipeline and the other adds Union ControlNet support; not the same concrete feature." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 156, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10218", + "pull_request:10230", + "pull_request:10316", + "pull_request:10322", + "pull_request:10376", + "pull_request:10378", + "pull_request:1043", + "pull_request:10430", + "pull_request:10431", + "pull_request:10434", + "pull_request:10473", + "pull_request:10491", + "pull_request:10524", + "pull_request:10554", + "pull_request:10567", + "pull_request:10579", + "pull_request:10810", + "pull_request:10834", + "pull_request:10850", + "pull_request:1087", + "pull_request:10894", + "pull_request:10922", + "pull_request:10941", + "pull_request:10990", + "pull_request:11087", + "pull_request:11113", + "pull_request:11238", + "pull_request:11451", + "pull_request:11556", + "pull_request:11812", + "pull_request:11813", + "pull_request:11975", + "pull_request:11999", + "pull_request:2759", + "pull_request:3108", + "pull_request:774", + "pull_request:8755", + "pull_request:8845", + "pull_request:8920", + "pull_request:9036", + "pull_request:9077", + "pull_request:9116", + "pull_request:9687", + "pull_request:9696", + "pull_request:9736", + "pull_request:9739", + "pull_request:9918", + "pull_request:9934" + ], + "soft_pairs": [ + "pull_request:10218|pull_request:9077", + "pull_request:10218|pull_request:9739", + "pull_request:10230|pull_request:11556", + "pull_request:10230|pull_request:8755", + "pull_request:10316|pull_request:9934", + "pull_request:10322|pull_request:10431", + "pull_request:10376|pull_request:10567", + "pull_request:10378|pull_request:11238", + "pull_request:1043|pull_request:2759", + "pull_request:1043|pull_request:774", + "pull_request:10430|pull_request:9736", + "pull_request:10434|pull_request:8920", + "pull_request:10473|pull_request:11813", + "pull_request:10491|pull_request:8845", + "pull_request:10524|pull_request:9934", + "pull_request:10554|pull_request:9036", + "pull_request:10554|pull_request:9116", + "pull_request:10579|pull_request:9687", + "pull_request:10810|pull_request:11999", + "pull_request:10834|pull_request:11451", + "pull_request:10850|pull_request:9687", + "pull_request:10850|pull_request:9918", + "pull_request:1087|pull_request:3108", + "pull_request:10894|pull_request:9696", + "pull_request:10922|pull_request:11087", + "pull_request:10941|pull_request:11975", + "pull_request:10990|pull_request:11812", + "pull_request:11113|pull_request:11975" + ], + "prepared_review_unit_hash": "a4993713af04e323fa9e6de66733f943cc48d0e8855288f8666cee44192b5632", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 99992, + "estimated_input_tokens": 24998, + "estimated_eval_tokens": 50252 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are a heterogeneous mix of unrelated docs, tests, CI, model additions, and bugfix PRs. The soft edges are mostly title/subsystem similarity rather than the same underlying change, so I would not merge any of them as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10922 is the strongest representative artifact: it is a broad, merged core feature PR with many touched files and clear centrality to the Wan release, unlike the more narrow docs/tests fixes around it.", + "best_issue_reason": null, + "best_pr_reason": "PR 10922 is the best overall PR candidate because it is substantive, widely scoped, and the most representative merged change in this set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10218", + "right": "pull_request:9077", + "accept": false, + "reason": "Unrelated changes: ControlNetUnion callback tensor cleanup vs assorted typo/doc/test fixes." + }, + { + "left": "pull_request:10218", + "right": "pull_request:9739", + "accept": false, + "reason": "Different code paths and purposes: ControlNetUnion callback inputs vs docs wording/checkpoint text." + }, + { + "left": "pull_request:10230", + "right": "pull_request:11556", + "accept": false, + "reason": "Both are docs edits, but they address different pages and topics; not the same change." + }, + { + "left": "pull_request:10230", + "right": "pull_request:8755", + "accept": false, + "reason": "LoRA docs additions are unrelated to SD3 dreambooth training logic." + }, + { + "left": "pull_request:10316", + "right": "pull_request:9934", + "accept": false, + "reason": "Both are docs-only, but they cover different models and different documentation fixes." + }, + { + "left": "pull_request:10322", + "right": "pull_request:10431", + "accept": false, + "reason": "Same model family, but one adds 2K conversion support while the other fixes a positional embedding bug; different concrete fixes." + }, + { + "left": "pull_request:10376", + "right": "pull_request:10567", + "accept": false, + "reason": "HunyuanVideo LoRA loader support vs HunyuanVideo true CFG pipeline work are separate changes." + }, + { + "left": "pull_request:10378", + "right": "pull_request:11238", + "accept": false, + "reason": "Different training scripts and bugs: SD3 LoRA distributed-saving changes vs SD3 ControlNet validation memory fix." + }, + { + "left": "pull_request:1043", + "right": "pull_request:2759", + "accept": false, + "reason": "Both touch tests, but one adds a helper/print improvement and the other is a large unrelated training/runtime regression test change." + }, + { + "left": "pull_request:1043", + "right": "pull_request:774", + "accept": false, + "reason": "Test utility/print improvements do not match the callback tolerance and chaining fixes in the older pipeline test PR." + }, + { + "left": "pull_request:10430", + "right": "pull_request:9736", + "accept": false, + "reason": "TeaCache infrastructure is unrelated to Allegro model/pipeline introduction." + }, + { + "left": "pull_request:10434", + "right": "pull_request:8920", + "accept": false, + "reason": "Both are docs-link related, but one fixes many broken cross-links while the other tweaks PAG guide wording." + }, + { + "left": "pull_request:10473", + "right": "pull_request:11813", + "accept": false, + "reason": "Different docs scopes: advanced training README updates vs Flux Kontext training docs/code." + }, + { + "left": "pull_request:10491", + "right": "pull_request:8845", + "accept": false, + "reason": "CI path typo fix in workflows vs PAG test typo fixes are separate maintenance changes." + }, + { + "left": "pull_request:10524", + "right": "pull_request:9934", + "accept": false, + "reason": "HunyuanVideo checkpoint-id docs correction is unrelated to Mochi docs expansion." + }, + { + "left": "pull_request:10554", + "right": "pull_request:9036", + "accept": false, + "reason": "SD3 miniature loader bugfix is unrelated to nightly dependency/install workflow changes." + }, + { + "left": "pull_request:10554", + "right": "pull_request:9116", + "accept": false, + "reason": "One is an SD3 training-script bugfix; 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not the same change." + }, + { + "left": "pull_request:10941", + "right": "pull_request:11975", + "accept": false, + "reason": "Flux pipeline copy-fix work is unrelated to the Flux advanced training style cleanup." + }, + { + "left": "pull_request:10990", + "right": "pull_request:11812", + "accept": false, + "reason": "Flux LoRA quantization support and Flux Kontext pipeline introduction are different concrete features." + }, + { + "left": "pull_request:11113", + "right": "pull_request:11975", + "accept": false, + "reason": "AutoencoderKL training bugfix and Flux training script style fix are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 157, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11194", + "pull_request:11212", + "pull_request:11237", + "pull_request:11254", + "pull_request:1133", + "pull_request:11416", + "pull_request:11472", + "pull_request:115", + "pull_request:11556", + "pull_request:1162", + "pull_request:11621", + "pull_request:11635", + "pull_request:11684", + "pull_request:11767", + "pull_request:118", + "pull_request:11814", + "pull_request:11838", + "pull_request:1184", + "pull_request:11848", + "pull_request:11892", + "pull_request:11894", + "pull_request:11904", + "pull_request:11916", + "pull_request:1194", + "pull_request:12115", + "pull_request:12231", + "pull_request:12277", + "pull_request:12331", + "pull_request:12340", + "pull_request:12398", + "pull_request:12419", + "pull_request:12519", + "pull_request:12644", + "pull_request:12747", + "pull_request:1765", + "pull_request:2101", + "pull_request:2322", + "pull_request:2691", + "pull_request:2808", + "pull_request:498", + "pull_request:705", + "pull_request:824", + "pull_request:840", + "pull_request:9688", + "pull_request:9827", + "pull_request:9878", + "pull_request:9934" + ], + "soft_pairs": [ + "pull_request:11194|pull_request:11838", + "pull_request:11212|pull_request:9934", + "pull_request:11237|pull_request:9688", + "pull_request:11254|pull_request:9827", + "pull_request:1133|pull_request:2808", + "pull_request:1133|pull_request:705", + "pull_request:1133|pull_request:824", + "pull_request:11416|pull_request:12231", + "pull_request:11472|pull_request:9878", + "pull_request:115|pull_request:498", + "pull_request:11556|pull_request:12331", + "pull_request:1162|pull_request:840", + "pull_request:11621|pull_request:12340", + "pull_request:11621|pull_request:12398", + "pull_request:11635|pull_request:12115", + "pull_request:11684|pull_request:11904", + "pull_request:11767|pull_request:11814", + "pull_request:11767|pull_request:12747", + "pull_request:118|pull_request:1765", + "pull_request:11838|pull_request:12644", + "pull_request:1184|pull_request:2691", + "pull_request:11848|pull_request:12644", + "pull_request:11892|pull_request:12277", + "pull_request:11894|pull_request:12519", + "pull_request:11916|pull_request:12419", + "pull_request:1194|pull_request:2101", + "pull_request:1194|pull_request:2322" + ], + "prepared_review_unit_hash": "ba04d9c7f4ef2e71032fc89bd59d97785589acae1da65fe5866146ee5aafbff7", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 27, + "serialized_chars": 105468, + "estimated_input_tokens": 26367, + "estimated_eval_tokens": 52990 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very heterogeneous: docs edits, CI/workflow changes, model/pipeline additions, and unrelated loader/refactor fixes. I found no pair that clearly represents the same underlying bug or change, so I reject all soft edges.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11916 is the most central merged PR in this set: it has the broadest core-code impact, the most inbound references/review activity, and is the least arbitrary representative of the mixed cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR 11916 is the strongest representative if one must be chosen, because it is a substantial merged refactor with broad impact and high discussion/review signal, unlike the mostly isolated docs/typo/CI items.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11194", + "right": "pull_request:11838", + "accept": false, + "reason": "Both are docs PRs, but they cover different topics and files; no shared underlying bug or change." + }, + { + "left": "pull_request:11212", + "right": "pull_request:9934", + "accept": false, + "reason": "Unrelated docs updates: MPS badges vs Mochi docs." + }, + { + "left": "pull_request:11237", + "right": "pull_request:9688", + "accept": false, + "reason": "Different doc fixes in different areas; only superficial docs similarity." + }, + { + "left": "pull_request:11254", + "right": "pull_request:9827", + "accept": false, + "reason": "ConsisID import fix vs LoRA device_map behavior are unrelated changes." + }, + { + "left": "pull_request:1133", + "right": "pull_request:2808", + "accept": false, + "reason": "Windows CI workflow vs test relaxation in model tests; not the same change." + }, + { + "left": "pull_request:1133", + "right": "pull_request:705", + "accept": false, + "reason": "Same broad CI/workflow theme, but different workflows and goals." + }, + { + "left": "pull_request:1133", + "right": "pull_request:824", + "accept": false, + "reason": "Different CI/test setup changes; not the same underlying issue." + }, + { + "left": "pull_request:11416", + "right": "pull_request:12231", + "accept": false, + "reason": "Both are typo/doc cleanup, but they fix different typos in different files." + }, + { + "left": "pull_request:11472", + "right": "pull_request:9878", + "accept": false, + "reason": "Interpolation-mode docs vs gradient-checkpointing behavior; unrelated." + }, + { + "left": "pull_request:115", + "right": "pull_request:498", + "accept": false, + "reason": "Pipeline rename work vs attention slicing bugfix; different code-path problems." + }, + { + "left": "pull_request:11556", + "right": "pull_request:12331", + "accept": false, + "reason": "Separate docs additions about different optimization topics." + }, + { + "left": "pull_request:1162", + "right": "pull_request:840", + "accept": false, + "reason": "Community links cleanup vs adding a dummy one-step pipeline; unrelated." + }, + { + "left": "pull_request:11621", + "right": "pull_request:12340", + "accept": false, + "reason": "Two different pipeline additions, not the same feature change." + }, + { + "left": "pull_request:11621", + "right": "pull_request:12398", + "accept": false, + "reason": "PhotoDoodle pipeline vs Mirage pipeline are distinct features." + }, + { + "left": "pull_request:11635", + "right": "pull_request:12115", + "accept": false, + "reason": "Flux-Kontext feature/docs vs an unrelated test PR." + }, + { + "left": "pull_request:11684", + "right": "pull_request:11904", + "accept": false, + "reason": "Both touch single-file loading, but one adds GGUF support and the other speeds loading; not the same fix." + }, + { + "left": "pull_request:11767", + "right": "pull_request:11814", + "accept": false, + "reason": "Group-offloading disk-memory fix vs Flux gradient-checkpointing kwargs forwarding; unrelated." + }, + { + "left": "pull_request:11767", + "right": "pull_request:12747", + "accept": false, + "reason": "Same file area, but one fixes disk offloading behavior while the other adds pinning features." + }, + { + "left": "pull_request:118", + "right": "pull_request:1765", + "accept": false, + "reason": "Old pipeline final-fix rename vs Dreambooth flax fixes; unrelated." + }, + { + "left": "pull_request:11838", + "right": "pull_request:12644", + "accept": false, + "reason": "Deprecated-pipelines docs vs AutoModel docs; different content and intent." + }, + { + "left": "pull_request:1184", + "right": "pull_request:2691", + "accept": false, + "reason": "Flash-attention addition vs attention rename refactor; not the same underlying change." + }, + { + "left": "pull_request:11848", + "right": "pull_request:12644", + "accept": false, + "reason": "LoRA metadata docs vs AutoModel docs; unrelated documentation changes." + }, + { + "left": "pull_request:11892", + "right": "pull_request:12277", + "accept": false, + "reason": "Removing k-diffusion from core vs disabling xformers tests; different maintenance tasks." + }, + { + "left": "pull_request:11894", + "right": "pull_request:12519", + "accept": false, + "reason": "k-diffusion pinning for CI vs toctree sorting fix; unrelated CI/docs changes." + }, + { + "left": "pull_request:11916", + "right": "pull_request:12419", + "accept": false, + "reason": "Flux/Chroma attention-dispatch refactor vs Flux modular-pipeline readiness; related subsystem, but distinct changes and code paths." + }, + { + "left": "pull_request:1194", + "right": "pull_request:2101", + "accept": false, + "reason": "Docs workflow updates vs pix2pix example/docs update; not the same change." + }, + { + "left": "pull_request:1194", + "right": "pull_request:2322", + "accept": false, + "reason": "Docs workflow updates vs example/inpaint update; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 158, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11975", + "pull_request:120", + "pull_request:12099", + "pull_request:12109", + "pull_request:1219", + "pull_request:12244", + "pull_request:12265", + "pull_request:1229", + "pull_request:12340", + "pull_request:12387", + "pull_request:12398", + "pull_request:1240", + "pull_request:12420", + "pull_request:12451", + "pull_request:12467", + "pull_request:12487", + "pull_request:12491", + "pull_request:1250", + "pull_request:12530", + "pull_request:12541", + "pull_request:12552", + "pull_request:12604", + "pull_request:12637", + "pull_request:12686", + "pull_request:1269", + "pull_request:12775", + "pull_request:12782", + "pull_request:1283", + "pull_request:12914", + "pull_request:12960", + "pull_request:12961", + "pull_request:13029", + "pull_request:13039", + "pull_request:13081", + "pull_request:13146", + "pull_request:13294", + "pull_request:13321", + "pull_request:13338", + "pull_request:13365", + "pull_request:13472", + "pull_request:1971", + "pull_request:2892", + "pull_request:2926", + "pull_request:3337", + "pull_request:433", + "pull_request:483", + "pull_request:748", + "pull_request:79" + ], + "soft_pairs": [ + "pull_request:11975|pull_request:12960", + "pull_request:120|pull_request:1971", + "pull_request:120|pull_request:433", + "pull_request:12099|pull_request:12914", + "pull_request:12109|pull_request:12387", + "pull_request:1219|pull_request:2926", + "pull_request:12244|pull_request:12604", + "pull_request:12265|pull_request:12637", + "pull_request:12265|pull_request:13146", + "pull_request:1229|pull_request:748", + "pull_request:12340|pull_request:12961", + "pull_request:12398|pull_request:12961", + "pull_request:1240|pull_request:79", + "pull_request:12420|pull_request:13081", + "pull_request:12451|pull_request:13338", + "pull_request:12467|pull_request:12487", + "pull_request:12467|pull_request:12552", + "pull_request:12491|pull_request:13365", + "pull_request:1250|pull_request:2892", + "pull_request:12530|pull_request:13294", + "pull_request:12541|pull_request:13039", + "pull_request:12686|pull_request:12775", + "pull_request:1269|pull_request:3337", + "pull_request:12782|pull_request:13321", + "pull_request:1283|pull_request:483", + "pull_request:13029|pull_request:13472" + ], + "prepared_review_unit_hash": "d63b055068979c78a94be771061ac33b83ce30c20ec516db48bc3c3307cc52b7", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 101377, + "estimated_input_tokens": 25345, + "estimated_eval_tokens": 50946 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly title-similarity noise: the paired PRs touch different files, different issues, or unrelated docs/CI tweaks. None of the soft-edge candidates look like the same underlying change, so I would not merge any of them as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:11975", + "right": "pull_request:12960", + "accept": false, + "reason": "Both are small typo/style fixes in training scripts, but they change different Flux DreamBooth files and different code paths." + }, + { + "left": "pull_request:120", + "right": "pull_request:1971", + "accept": false, + "reason": "Both are README/doc edits, but one adds examples and the other edits a scheduler docstring; not the same change." + }, + { + "left": "pull_request:120", + "right": "pull_request:433", + "accept": false, + "reason": "Unrelated documentation updates: README examples vs broad black/version cleanup and code changes." + }, + { + "left": "pull_request:12099", + "right": "pull_request:12914", + "accept": false, + "reason": "Different fixes in different pipelines: Qwen device typo vs Cosmos revision typo." + }, + { + "left": "pull_request:12109", + "right": "pull_request:12387", + "accept": false, + "reason": "Different scheduler/attention features; no shared concrete bug or code path." + }, + { + "left": "pull_request:1219", + "right": "pull_request:2926", + "accept": false, + "reason": "Both are DDIM docs edits, but they are separate documentation cleanup PRs years apart and not the same content change." + }, + { + "left": "pull_request:12244", + "right": "pull_request:12604", + "accept": false, + "reason": "Both are docs cleanup, but one removes Flax from many docs while the other rewrites modular diffusers docs." + }, + { + "left": "pull_request:12265", + "right": "pull_request:12637", + "accept": false, + "reason": "Both are typo-related, but they touch different areas and different text; not the same underlying fix." + }, + { + "left": "pull_request:12265", + "right": "pull_request:13146", + "accept": false, + "reason": "Different typo fixes in different files and subsystems; no common bug." + }, + { + "left": "pull_request:1229", + "right": "pull_request:748", + "accept": false, + "reason": "Both mention training/docs, but one fixes a bitsandbytes install note and the other fixes push_to_hub calls." + }, + { + "left": "pull_request:12340", + "right": "pull_request:12961", + "accept": false, + "reason": "LucyEdit pipeline addition vs PhotoDoodle pipeline README addition; different features, not duplicates." + }, + { + "left": "pull_request:12398", + "right": "pull_request:12961", + "accept": false, + "reason": "Mirage pipeline implementation is unrelated to adding a PhotoDoodle community example." + }, + { + "left": "pull_request:1240", + "right": "pull_request:79", + "accept": false, + "reason": "They both touch __init__.py exports, but one adds OneFlow support and the other adds unconditional image generation; different features." + }, + { + "left": "pull_request:12420", + "right": "pull_request:13081", + "accept": false, + "reason": "Different code paths: distributed import guard vs Qwen hidden-state contiguity fix." + }, + { + "left": "pull_request:12451", + "right": "pull_request:13338", + "accept": false, + "reason": "Doc-builder Dockerfile deps vs Claude workflow permissions; unrelated CI infrastructure changes." + }, + { + "left": "pull_request:12467", + "right": "pull_request:12487", + "accept": false, + "reason": "Both are fix PRs, but one targets QwenImage batch handling and the other fixes broken documentation links." + }, + { + "left": "pull_request:12467", + "right": "pull_request:12552", + "accept": false, + "reason": "QwenImage batch bug vs Kandinsky docs typo cleanup; different artifacts and purposes." + }, + { + "left": "pull_request:12491", + "right": "pull_request:13365", + "accept": false, + "reason": "Both are workflow changes, but one adds docs link checking and the other fixes Claude review on forks; not the same problem." + }, + { + "left": "pull_request:1250", + "right": "pull_request:2892", + "accept": false, + "reason": "Community pipeline addition vs Stable Diffusion upscale input validation; unrelated changes." + }, + { + "left": "pull_request:12530", + "right": "pull_request:13294", + "accept": false, + "reason": "Different test fixes for different models; one xfails a stable-cascade test, the other stabilizes WanVACE LoRA tests." + }, + { + "left": "pull_request:12541", + "right": "pull_request:13039", + "accept": false, + "reason": "Different WAN-related fixes: LoRA conversion logic vs layerwise upcasting in a transformer." + }, + { + "left": "pull_request:12686", + "right": "pull_request:12775", + "accept": false, + "reason": "Both add Kandinsky 5 docs, but one adds image pipelines and the other adds Z-Image docs; different features." + }, + { + "left": "pull_request:1269", + "right": "pull_request:3337", + "accept": false, + "reason": "Both are Stable Diffusion refactor-related, but one finalizes attention slicing/postprocess refactors while the other is a broader postprocessing refactor; not the same change." + }, + { + "left": "pull_request:12782", + "right": "pull_request:13321", + "accept": false, + "reason": "Different test fixes: HunyuanVideo offloading tests vs Cosmos torchvision import guard." + }, + { + "left": "pull_request:1283", + "right": "pull_request:483", + "accept": false, + "reason": "Both are broad feature/docs PRs, but one adds Versatile Diffusion and the other is typo/docs cleanup; unrelated." + }, + { + "left": "pull_request:13029", + "right": "pull_request:13472", + "accept": false, + "reason": "Modular docs quickstart rewrite vs agents docs float64 gotcha; different documentation topics and goals." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 159, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1311", + "pull_request:13164", + "pull_request:1325", + "pull_request:13294", + "pull_request:1341", + "pull_request:1386", + "pull_request:1393", + "pull_request:1402", + "pull_request:1406", + "pull_request:1415", + "pull_request:1458", + "pull_request:1468", + "pull_request:1487", + "pull_request:1548", + "pull_request:1588", + "pull_request:1667", + "pull_request:1706", + "pull_request:1713", + "pull_request:1724", + "pull_request:1751", + "pull_request:1757", + "pull_request:1761", + "pull_request:1765", + "pull_request:1766", + "pull_request:1850", + "pull_request:1868", + "pull_request:1965", + "pull_request:2009", + "pull_request:2314", + "pull_request:2322", + "pull_request:2341", + "pull_request:286", + "pull_request:2919", + "pull_request:3230", + "pull_request:3321", + "pull_request:3343", + "pull_request:34", + "pull_request:3402", + "pull_request:3433", + "pull_request:3653", + "pull_request:3712", + "pull_request:397", + "pull_request:41", + "pull_request:415", + "pull_request:418", + "pull_request:423", + "pull_request:538", + "pull_request:768" + ], + "soft_pairs": [ + "pull_request:1311|pull_request:1386", + "pull_request:13164|pull_request:13294", + "pull_request:1325|pull_request:3343", + "pull_request:1325|pull_request:3402", + "pull_request:1325|pull_request:3433", + "pull_request:1325|pull_request:41", + "pull_request:1341|pull_request:3230", + "pull_request:1393|pull_request:1406", + "pull_request:1402|pull_request:34", + "pull_request:1415|pull_request:1751", + "pull_request:1458|pull_request:2009", + "pull_request:1468|pull_request:2341", + "pull_request:1487|pull_request:3230", + "pull_request:1548|pull_request:2322", + "pull_request:1588|pull_request:2314", + "pull_request:1667|pull_request:1965", + "pull_request:1706|pull_request:3321", + "pull_request:1713|pull_request:423", + "pull_request:1724|pull_request:397", + "pull_request:1724|pull_request:415", + "pull_request:1724|pull_request:418", + "pull_request:1757|pull_request:3230", + "pull_request:1761|pull_request:3230", + "pull_request:1765|pull_request:768", + "pull_request:1766|pull_request:538", + "pull_request:1850|pull_request:2919", + "pull_request:1868|pull_request:286", + "pull_request:1868|pull_request:3653", + "pull_request:1868|pull_request:3712" + ], + "prepared_review_unit_hash": "2818155a218eefb15d04dd6d9474da268ff31e0cc740d66f6abf451da943f954", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 106051, + "estimated_input_tokens": 26513, + "estimated_eval_tokens": 53282 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are mostly unrelated PRs spanning docs, CI, schedulers, pipelines, and tests. None of the soft-edge pairs look like the same concrete bug/change, so I rejected all of them. If one PR has to serve as the representative anchor, PR #3230 is the broadest feature addition in the set.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3230 is the most substantial, multi-file feature PR in the set (new IF pipeline/docs/export wiring), so it is the best single representative PR here.", + "best_issue_reason": null, + "best_pr_reason": "PR #3230 has the broadest scope and highest signal as a feature-defining change, making it the strongest global representative among these PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1311", + "right": "pull_request:1386", + "accept": false, + "reason": "Different changes: AltDiffusion test/dependency work vs scheduler v-prediction support; only loosely related by library area." + }, + { + "left": "pull_request:13164", + "right": "pull_request:13294", + "accept": false, + "reason": "Both touch CI/test behavior, but one removes test deps from workflows while the other tweaks a flaky WanVACE test; not the same underlying fix." + }, + { + "left": "pull_request:1325", + "right": "pull_request:3343", + "accept": false, + "reason": "One adds OneFlow image2image/pipeline support, the other fixes a DPM-Solver config reference; unrelated code paths." + }, + { + "left": "pull_request:1325", + "right": "pull_request:3402", + "accept": false, + "reason": "One is a large OneFlow pipeline implementation; the other is a Dockerfile packaging tweak." + }, + { + "left": "pull_request:1325", + "right": "pull_request:3433", + "accept": false, + "reason": "Pipeline implementation vs documentation/style cleanup; not the same change." + }, + { + "left": "pull_request:1325", + "right": "pull_request:41", + "accept": false, + "reason": "OneFlow pipeline work is unrelated to comment-only resnet cleanup." + }, + { + "left": "pull_request:1341", + "right": "pull_request:3230", + "accept": false, + "reason": "Both add pipeline-related exports, but they are different concrete features: 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none of the soft-edge pairs look like true duplicates of the same underlying change or bug fix. No issue artifacts are present, and the strongest standalone PR is the FreeU feature work.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5164 is the most substantial and self-contained change in the set, with broad core-model impact, tests/docs, and explicit issue linkage; it is a better canonical representative than the many minor docs/housekeeping PRs.", + "best_issue_reason": null, + "best_pr_reason": "PR 5164 is the best overall representative because it is the clearest, most complete substantive feature PR in this cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4276", + "right": "pull_request:5792", + "accept": false, + "reason": "Both touch import-related test/community code, but one adds a pipeline import test and the other fixes import paths in community examples; different changes and different failure modes." + }, + { + "left": "pull_request:4301", + "right": "pull_request:4887", + "accept": false, + "reason": "Docs update for Kandinsky vs removal of a latents argument in a Kandinsky prior emb2emb pipeline; unrelated scope and code path." + }, + { + "left": "pull_request:4320", + "right": "pull_request:6410", + "accept": false, + "reason": "A typo/docs polish PR vs a runtime module-registration fix in experimental RL; no shared bug or code change." + }, + { + "left": "pull_request:433", + "right": "pull_request:70", + "accept": false, + "reason": "Both are dependency/setup-related, but they address different eras and unrelated package/version fixes; not the same underlying change." + }, + { + "left": "pull_request:4396", + "right": "pull_request:6262", + "accept": false, + "reason": "One changes prompt embedding dtype handling across many pipelines; the other refactors panorama pipeline packaging. Different concrete problems." + }, + { + "left": "pull_request:4472", + "right": "pull_request:5729", + "accept": false, + "reason": "README documentation removal vs broad min-version updates in many training scripts; not the same fix." + }, + { + "left": "pull_request:4547", + "right": "pull_request:4746", + "accept": false, + "reason": "Flax scheduler addition/refactor work vs an SDXL inpainting training/pipeline WIP; different features entirely." + }, + { + "left": "pull_request:4547", + "right": "pull_request:5682", + "accept": false, + "reason": "No shared code path: one is Flax Euler scheduler work, the other is AnimateDiff model/pipeline checks." + }, + { + "left": "pull_request:4748", + "right": "pull_request:5729", + "accept": false, + "reason": "Both touch setup/versioning, but one edits packaging/upload instructions while the other bumps min-version checks across example scripts; not mergeable as one PR." + }, + { + "left": "pull_request:4783", + "right": "pull_request:6237", + "accept": false, + "reason": "One adds SDXL ControlNet prompt-embedding docs; the other adds a seeds documentation tip. Same broad docs area, but not the same change." + }, + { + "left": "pull_request:4787", + "right": "pull_request:6437", + "accept": false, + "reason": "LoRA weight-file filtering in loaders vs a test-workflow exclusion tweak for PEFT env; different layers and different bugs." + }, + { + "left": "pull_request:4887", + "right": "pull_request:6886", + "accept": false, + "reason": "Kandinsky prior pipeline API cleanup vs a cross-cutting to() deprecation cleanup; not the same concrete fix." + }, + { + "left": "pull_request:4937", + "right": "pull_request:6305", + "accept": false, + "reason": "Adapter conditioning factor addition vs DDPMScheduler zero-SNR support; unrelated pipeline and scheduler changes." + }, + { + "left": "pull_request:51", + "right": "pull_request:788", + "accept": false, + "reason": "Very early install-requires fix vs later PIL sampler warning fix in examples/pipelines; no shared underlying bug." + }, + { + "left": "pull_request:5122", + "right": "pull_request:5164", + "accept": false, + "reason": "Workflow Python version bump/setup edits vs a core FreeU feature implementation; 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"pull_request:8650", + "pull_request:8684", + "pull_request:8698", + "pull_request:8755", + "pull_request:8932", + "pull_request:9247", + "pull_request:9257", + "pull_request:9524", + "pull_request:9896" + ], + "soft_pairs": [ + "pull_request:3278|pull_request:4715", + "pull_request:3673|pull_request:4621", + "pull_request:3850|pull_request:5526", + "pull_request:4099|pull_request:6195", + "pull_request:4947|pull_request:5853", + "pull_request:5186|pull_request:7328", + "pull_request:6007|pull_request:6237", + "pull_request:6007|pull_request:7134", + "pull_request:6864|pull_request:8684", + "pull_request:6961|pull_request:7295", + "pull_request:7044|pull_request:7134", + "pull_request:7202|pull_request:8698", + "pull_request:7206|pull_request:8650", + "pull_request:7410|pull_request:9247", + "pull_request:8404|pull_request:8932", + "pull_request:8522|pull_request:8932", + "pull_request:9257|pull_request:9896", + "pull_request:11602|pull_request:12301", + "pull_request:2334|pull_request:2397", + "pull_request:11916|pull_request:12439", + "pull_request:12534|pull_request:12919", + "pull_request:10148|pull_request:10850", + "pull_request:10230|pull_request:11269", + "pull_request:10326|pull_request:8755", + "pull_request:10539|pull_request:9257", + "pull_request:10547|pull_request:9524" + ], + "prepared_review_unit_hash": "3f7dd94ba57261800998e08f3ca2ceaa6247562088ef6cb0ae62137efba0127a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 101946, + "estimated_input_tokens": 25487, + "estimated_eval_tokens": 51230 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated feature PRs, documentation updates, test-only fixes, and infrastructure changes across many subsystems. I do not see any pair that appears to be the same underlying bug or change.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR fits this cluster; the items are not duplicates of one another. If forced to anchor on one, PR 11916 is the most cross-cutting core change, but it does not represent the rest of the set.", + "best_issue_reason": null, + "best_pr_reason": "PR 11916 is the most broadly representative core code change in the set, but only as a weak anchor; it is not a true duplicate target for the other PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3278", + "right": "pull_request:4715", + "accept": false, + "reason": "One disables spectrogram diffusion tests; the other renames example test files. Different maintenance tasks." + }, + { + "left": "pull_request:3673", + "right": "pull_request:4621", + "accept": false, + "reason": "Dreambooth multi-GPU fix vs T2I Adapter downscale-factor validation. Different models and bugs." + }, + { + "left": "pull_request:3850", + "right": "pull_request:5526", + "accept": false, + "reason": "Audio diffusion test adjustments are unrelated to the scheduler timestep fix." + }, + { + "left": "pull_request:4099", + "right": "pull_request:6195", + "accept": false, + "reason": "SDXL prompt-embedding bug fix vs AnimateDiff SDXL implementation work. Not the same change." + }, + { + "left": "pull_request:4947", + "right": "pull_request:5853", + "accept": false, + "reason": "T2I adapter training tests vs doctest workflow/setup changes. No shared bug or code path." + }, + { + "left": "pull_request:5186", + "right": "pull_request:7328", + "accept": false, + "reason": "FreeU proof-of-concept model changes are unrelated to adding torch in the PyPI publish job." + }, + { + "left": "pull_request:6007", + "right": "pull_request:6237", + "accept": false, + "reason": "Docs for copied-from mechanism vs batched seed guidance. Different documentation topics." + }, + { + "left": "pull_request:6007", + "right": "pull_request:7134", + "accept": false, + "reason": "Copied-from docs update is unrelated to UNet type-hint cleanup." + }, + { + "left": "pull_request:6864", + "right": "pull_request:8684", + "accept": false, + "reason": "PEFT compile note in docs vs a Pillow import fix in a pipeline docstring. Different scope." + }, + { + "left": "pull_request:6961", + "right": "pull_request:7295", + "accept": false, + "reason": "Single-file loader fast tests vs UNet single-file loader doc cleanup. Related area, but not the same bug/change." + }, + { + "left": "pull_request:7044", + "right": "pull_request:7134", + "accept": false, + "reason": "Re-adding UNet refactor code vs type-hint-only cleanup. Not duplicate changes." + }, + { + "left": "pull_request:7202", + "right": "pull_request:8698", + "accept": false, + "reason": "Requirements cleanup vs transformer output-class deprecation removal. Different concerns." + }, + { + "left": "pull_request:7206", + "right": "pull_request:8650", + "accept": false, + "reason": "Training-script tag metadata vs SD3 DreamBooth test suite. No shared implementation change." + }, + { + "left": "pull_request:7410", + "right": "pull_request:9247", + "accept": false, + "reason": "FreeInit behavior fix is unrelated to the model-variant discovery fix." + }, + { + "left": "pull_request:8404", + "right": "pull_request:8932", + "accept": false, + "reason": "Latte video-generation implementation vs temporal transformer tests. One is a feature, the other is coverage." + }, + { + "left": "pull_request:8522", + "right": "pull_request:8932", + "accept": false, + "reason": "Transformers version pin vs temporal transformer tests. Completely different changes." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9896", + "accept": false, + "reason": "Dreambooth Flux prompt encoding fix vs reverting Flux device/typecasting cleanup. Same subsystem, but different code-path problems." + }, + { + "left": "pull_request:11602", + "right": "pull_request:12301", + "accept": false, + "reason": "Sana Sprint img2img pipeline vs Qwen-Image ControlNet inpainting. Different pipelines and functionality." + }, + { + "left": "pull_request:2334", + "right": "pull_request:2397", + "accept": false, + "reason": "These are both Pix2Pix Zero-related, but the second is a follow-up inversion/scheduler update, not the same exact change set." + }, + { + "left": "pull_request:11916", + "right": "pull_request:12439", + "accept": false, + "reason": "Flux/Chroma refactor plus attention dispatcher work vs adding kernels-backed attention support. Related area, but not the same concrete bug or mergeable single PR." + }, + { + "left": "pull_request:12534", + "right": "pull_request:12919", + "accept": false, + "reason": "Flux NPU positional-embedding workaround vs NPU attention backend support. Same hardware target, different code paths." + }, + { + "left": "pull_request:10148", + "right": "pull_request:10850", + "accept": false, + "reason": "OmniGen feature addition vs hook helper utilities. Unrelated changes." + }, + { + "left": "pull_request:10230", + "right": "pull_request:11269", + "accept": false, + "reason": "LoRA docs additions vs onnxruntime package support in import utils. Different domains." + }, + { + "left": "pull_request:10326", + "right": "pull_request:8755", + "accept": false, + "reason": "MPS workflow quoting fix vs SD3 DreamBooth LoRA training bug fix. No overlap in underlying issue." + }, + { + "left": "pull_request:10539", + "right": "pull_request:9257", + "accept": false, + "reason": "Flux true-CFG condition fix and Flux Dreambooth prompt-tokenization fix are different bugs in different call paths." + }, + { + "left": "pull_request:10547", + "right": "pull_request:9524", + "accept": false, + "reason": "Offload test tweaks for CogVideoX/CogView3 vs CogVideoX VAE conv_cache refactor. Tests vs model internals, not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 169, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10966", + "pull_request:11269", + "pull_request:11449", + "pull_request:11479", + "pull_request:11495", + "pull_request:12092", + "pull_request:12586", + "pull_request:12911", + "pull_request:13022", + "pull_request:13211", + "pull_request:1623", + "pull_request:1850", + "pull_request:2119", + "pull_request:2470", + "pull_request:2983", + "pull_request:3077", + "pull_request:3471", + "pull_request:3675", + "pull_request:3723", + "pull_request:3957", + "pull_request:4112", + "pull_request:4248", + "pull_request:4396", + "pull_request:4595", + "pull_request:51", + "pull_request:5164", + "pull_request:538", + "pull_request:6007", + "pull_request:6081", + "pull_request:6261", + "pull_request:6265", + "pull_request:6311", + "pull_request:6864", + "pull_request:689", + "pull_request:7050", + "pull_request:7652", + "pull_request:7712", + "pull_request:7778", + "pull_request:8404", + "pull_request:9065", + "pull_request:9074", + "pull_request:9207", + "pull_request:9400", + "pull_request:9489", + "pull_request:9579", + "pull_request:9687", + "pull_request:9988" + ], + "soft_pairs": [ + "pull_request:10966|pull_request:11479", + "pull_request:11269|pull_request:9687", + "pull_request:11449|pull_request:11495", + "pull_request:12092|pull_request:12586", + "pull_request:12092|pull_request:12911", + "pull_request:13022|pull_request:13211", + "pull_request:1623|pull_request:538", + "pull_request:1850|pull_request:2983", + "pull_request:2119|pull_request:538", + "pull_request:2470|pull_request:2983", + "pull_request:3077|pull_request:3675", + "pull_request:3471|pull_request:4112", + "pull_request:3723|pull_request:4112", + "pull_request:3957|pull_request:4595", + "pull_request:4248|pull_request:6081", + "pull_request:4396|pull_request:6261", + "pull_request:51|pull_request:689", + "pull_request:5164|pull_request:6007", + "pull_request:6265|pull_request:8404", + "pull_request:6311|pull_request:7778", + "pull_request:6864|pull_request:9065", + "pull_request:7050|pull_request:7712", + "pull_request:7050|pull_request:9207", + "pull_request:7652|pull_request:9400", + "pull_request:9489|pull_request:9579", + "pull_request:9074|pull_request:9988" + ], + "prepared_review_unit_hash": "3e06e6e918b0a5eb31ffda321732eae901e1dce5e11e942cc9df5ecf1f238b29", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 96518, + "estimated_input_tokens": 24130, + "estimated_eval_tokens": 48516 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated PRs (docs, dependency bumps, training scripts, feature additions, and infra fixes). None of the soft-edge pairs look like the same underlying bug or change, so I rejected them all.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true duplicate-PR canonical exists here; if one PR must stand in for the set, 9074 is the most substantial coherent code fix rather than a docs-only or infra-only change.", + "best_issue_reason": null, + "best_pr_reason": "9074 ('Flux followup') is the strongest representative: it has a focused runtime/code-path fix with real implementation and test impact, unlike the mostly orthogonal docs and maintenance PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10966", + "right": "pull_request:11479", + "accept": false, + "reason": "Different changes: CogView4 input validation vs Intel Gaudi doc rename." + }, + { + "left": "pull_request:11269", + "right": "pull_request:9687", + "accept": false, + "reason": "Unrelated: ONNX runtime package detection vs Xlabs ControlNet support in Flux." + }, + { + "left": "pull_request:11449", + "right": "pull_request:11495", + "accept": false, + "reason": "Same broad theme (image interpolation) but different training scripts and scopes; not the same fix." + }, + { + "left": "pull_request:12092", + "right": "pull_request:12586", + "accept": false, + "reason": "Docs-only, but different docs changes: GGUF guide content vs toctree reordering." + }, + { + "left": "pull_request:12092", + "right": "pull_request:12911", + "accept": false, + "reason": "GGUF docs vs a large discrete-diffusion feature PR; clearly different changes." + }, + { + "left": "pull_request:13022", + "right": "pull_request:13211", + "accept": false, + "reason": "Dockerfile/tooling fix vs group-offloading runtime bug fix; unrelated." + }, + { + "left": "pull_request:1623", + "right": "pull_request:538", + "accept": false, + "reason": "Different dependency updates for different packages and files; not the same issue." + }, + { + "left": "pull_request:1850", + "right": "pull_request:2983", + "accept": false, + "reason": "Test coverage for ResnetBlock2D vs CONTRIBUTING.md instructions; unrelated." + }, + { + "left": "pull_request:2119", + "right": "pull_request:538", + "accept": false, + "reason": "Different Hub-related changes: local_files_only behavior vs version pin bump." + }, + { + "left": "pull_request:2470", + "right": "pull_request:2983", + "accept": false, + "reason": "MPS test skips vs docs on installing test deps; unrelated." + }, + { + "left": "pull_request:3077", + "right": "pull_request:3675", + "accept": false, + "reason": "Training-script logic change vs a test-only V100 fix; not the same change." + }, + { + "left": "pull_request:3471", + "right": "pull_request:4112", + "accept": false, + "reason": "Dreambooth docs note vs adding LoRA rank support; different scopes." + }, + { + "left": "pull_request:3723", + "right": "pull_request:4112", + "accept": false, + "reason": "Community reference wrapper update vs Dreambooth LoRA feature work; unrelated." + }, + { + "left": "pull_request:3957", + "right": "pull_request:4595", + "accept": false, + "reason": "Unfinished attention-name refactor vs XL-to-stable-diffusion conversion WIP; different code paths." + }, + { + "left": "pull_request:4248", + "right": "pull_request:6081", + "accept": false, + "reason": "Tracker-config cleanup in Dreambooth vs SDXL sigma handling for torch.compile; unrelated." + }, + { + "left": "pull_request:4396", + "right": "pull_request:6261", + "accept": false, + "reason": "Prompt-encoding dtype fallback fix across pipelines vs moving Attend-and-Excite into its own module." + }, + { + "left": "pull_request:51", + "right": "pull_request:689", + "accept": false, + "reason": "Packaging metadata fix vs attention performance tweak; unrelated." + }, + { + "left": "pull_request:5164", + "right": "pull_request:6007", + "accept": false, + "reason": "Core FreeU mechanism vs docs wording about copied-from; not the same change." + }, + { + "left": "pull_request:6265", + "right": "pull_request:8404", + "accept": false, + "reason": "Both touch pipeline exports, but one is a GLIGEN refactor and the other is a new Latte feature; different PRs." + }, + { + "left": "pull_request:6311", + "right": "pull_request:7778", + "accept": false, + "reason": "New diffusion tutorial docs vs debugging workflow; unrelated." + }, + { + "left": "pull_request:6864", + "right": "pull_request:9065", + "accept": false, + "reason": "PEFT docs update vs adding sentencepiece soft-dependency support; different artifacts and goals." + }, + { + "left": "pull_request:7050", + "right": "pull_request:7712", + "accept": false, + "reason": "Typo/docs cleanup in text-to-image examples vs import fixes; unrelated." + }, + { + "left": "pull_request:7050", + "right": "pull_request:9207", + "accept": false, + "reason": "Text-to-image typo cleanup vs CPU offloading docs/fixes; different changes." + }, + { + "left": "pull_request:7652", + "right": "pull_request:9400", + "accept": false, + "reason": "Docker buildx workflow change vs device-agnostic test changes; unrelated." + }, + { + "left": "pull_request:9489", + "right": "pull_request:9579", + "accept": false, + "reason": "SD3 ControlNet training fix vs embeddings documentation update; unrelated." + }, + { + "left": "pull_request:9074", + "right": "pull_request:9988", + "accept": false, + "reason": "Shared Flux area, but different scopes: followup processor/runtime cleanup vs a broad Flux Redux feature/conversion PR; not mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 170, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10259", + "pull_request:10326", + "pull_request:10354", + "pull_request:10557", + "pull_request:10808", + "pull_request:10894", + "pull_request:1129", + "pull_request:11655", + "pull_request:11663", + "pull_request:11726", + "pull_request:11738", + "pull_request:11869", + "pull_request:11913", + "pull_request:1206", + "pull_request:12119", + "pull_request:12324", + "pull_request:12387", + "pull_request:12418", + "pull_request:12534", + "pull_request:13134", + "pull_request:13208", + "pull_request:1324", + "pull_request:13296", + "pull_request:13365", + "pull_request:1579", + "pull_request:2279", + "pull_request:3746", + "pull_request:3968", + "pull_request:4346", + "pull_request:4944", + "pull_request:5298", + "pull_request:5439", + "pull_request:5713", + "pull_request:5887", + "pull_request:6757", + "pull_request:6868", + "pull_request:6929", + "pull_request:7062", + "pull_request:7068", + "pull_request:7712", + "pull_request:8419", + "pull_request:8452", + "pull_request:8564", + "pull_request:8652", + "pull_request:8684", + "pull_request:8836", + "pull_request:9206", + "pull_request:9473" + ], + "soft_pairs": [ + "pull_request:1324|pull_request:1579", + "pull_request:11663|pull_request:11738", + "pull_request:1129|pull_request:1206", + "pull_request:13134|pull_request:13296", + "pull_request:2279|pull_request:3746", + "pull_request:4944|pull_request:6868", + "pull_request:6757|pull_request:8419", + "pull_request:7068|pull_request:7712", + "pull_request:7712|pull_request:8836", + "pull_request:8452|pull_request:8652", + "pull_request:8564|pull_request:9473", + "pull_request:10808|pull_request:12119", + "pull_request:11655|pull_request:12534", + "pull_request:3968|pull_request:4346", + "pull_request:5713|pull_request:5887", + "pull_request:5298|pull_request:5439", + "pull_request:10259|pull_request:10808", + "pull_request:11869|pull_request:12387", + "pull_request:12324|pull_request:13208", + "pull_request:10326|pull_request:10557", + "pull_request:10326|pull_request:10894", + "pull_request:10354|pull_request:9206", + "pull_request:10557|pull_request:9206", + "pull_request:12418|pull_request:13365", + "pull_request:6929|pull_request:7062", + "pull_request:6929|pull_request:8684", + "pull_request:11726|pull_request:11913" + ], + "prepared_review_unit_hash": "57a68e8697d5895eed4ac65b524b750e15f13ca1877f5822e80d9a6052b6b58f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 104992, + "estimated_input_tokens": 26248, + "estimated_eval_tokens": 52752 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous and does not form a single duplicate topic. The only strong duplicate-like pair is the bnb test determinism fixes, where one PR centralizes the same stability change made by the other; all other soft edges are rejectable as different features, pipelines, docs, or CI fixes.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11738 is the cleaner consolidated fix for the bnb test nondeterminism and subsumes the more piecemeal per-test changes in 11663.", + "best_issue_reason": null, + "best_pr_reason": "PR 11738 is the best representative of the only genuinely overlapping change in the set: making the bnb 4bit/int8 tests deterministic.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1324", + "right": "pull_request:1579", + "accept": false, + "reason": "Unrelated areas: Stable Diffusion INT8 quantization README vs Intel optimization examples." + }, + { + "left": "pull_request:11663", + "right": "pull_request:11738", + "accept": true, + "reason": "Same underlying fix: stabilize bitsandbytes 4bit/int8 test outputs by enforcing deterministic algorithms; 11738 consolidates the same change." + }, + { + "left": "pull_request:1129", + "right": "pull_request:1206", + "accept": false, + "reason": "Different changes: DreamBooth flax batch sizing vs LDM checkpoint layer-name conversion." + }, + { + "left": "pull_request:13134", + "right": "pull_request:13296", + "accept": false, + "reason": "Unrelated: Cosmos transformer typing vs release-test workflow updates." + }, + { + "left": "pull_request:2279", + "right": "pull_request:3746", + "accept": false, + "reason": "Different subsystems: lint/tooling migration vs from_ckpt path joining." + }, + { + "left": "pull_request:4944", + "right": "pull_request:6868", + "accept": false, + "reason": "Both IP-Adapter related, but 4944 is core support while 6868 adds a pipeline call-path extension; not the same concrete change." + }, + { + "left": "pull_request:6757", + "right": "pull_request:8419", + "accept": false, + "reason": "Unrelated: K-diffusion sigma device placement vs dynamic module download refactor." + }, + { + "left": "pull_request:7068", + "right": "pull_request:7712", + "accept": false, + "reason": "Typos/doc cleanup vs import fixes; not the same bug or change." + }, + { + "left": "pull_request:7712", + "right": "pull_request:8836", + "accept": false, + "reason": "Import cleanup is unrelated to the sliced attention loop bug." + }, + { + "left": "pull_request:8452", + "right": "pull_request:8652", + "accept": false, + "reason": "Single-file loading fix vs new Lumina model/pipeline additions." + }, + { + "left": "pull_request:8564", + "right": "pull_request:9473", + "accept": false, + "reason": "Different DreamBooth training issues: SD3 T5 token limit vs Flux Prodigy LR handling." + }, + { + "left": "pull_request:10808", + "right": "pull_request:12119", + "accept": false, + "reason": "PEFT config key restriction vs Qwen-Image-Lightning LoRA loading support." + }, + { + "left": "pull_request:11655", + "right": "pull_request:12534", + "accept": false, + "reason": "Bitsandbytes 8-bit LoRA loading vs Flux NPU rotary embedding handling." + }, + { + "left": "pull_request:3968", + "right": "pull_request:4346", + "accept": false, + "reason": "SDXL pipeline cleanup vs optional watermarker behavior; same product area, different changes." + }, + { + "left": "pull_request:5713", + "right": "pull_request:5887", + "accept": false, + "reason": "Core IP-Adapter support and a later ControlNet Inpaint integration are related, but not the same concrete code-path change." + }, + { + "left": "pull_request:5298", + "right": "pull_request:5439", + "accept": false, + "reason": "LoRA convolution compile fix vs single-file tokenizer/config loading; unrelated." + }, + { + "left": "pull_request:10259", + "right": "pull_request:10808", + "accept": false, + "reason": "Flux LoRA loading support vs PEFT config update; different fixes." + }, + { + "left": "pull_request:11869", + "right": "pull_request:12387", + "accept": false, + "reason": "GGUF CUDA kernel support vs flash-attention backend support through kernels; different features and code paths." + }, + { + "left": "pull_request:12324", + "right": "pull_request:13208", + "accept": false, + "reason": "Wan VACE conversion/model support vs Helios video generation pipelines; unrelated model families." + }, + { + "left": "pull_request:10326", + "right": "pull_request:10557", + "accept": false, + "reason": "CI workflow quoting fix vs InstructPix2Pix single-file test config; unrelated." + }, + { + "left": "pull_request:10326", + "right": "pull_request:10894", + "accept": false, + "reason": "CI workflow quoting fix vs docs toctree sorting; unrelated." + }, + { + "left": "pull_request:10354", + "right": "pull_request:9206", + "accept": false, + "reason": "Flux IP-Adapter tester dtype/device fix vs xformers test skips; different failures." + }, + { + "left": "pull_request:10557", + "right": "pull_request:9206", + "accept": false, + "reason": "Single-file test metadata fix vs xformers test flakiness; unrelated." + }, + { + "left": "pull_request:12418", + "right": "pull_request:13365", + "accept": false, + "reason": "CI xfail for failing tests vs Claude review fork support; unrelated infrastructure changes." + }, + { + "left": "pull_request:6929", + "right": "pull_request:7062", + "accept": false, + "reason": "Community pipeline docs vs imagic docstring correction; unrelated docs edits." + }, + { + "left": "pull_request:6929", + "right": "pull_request:8684", + "accept": false, + "reason": "Community pipeline docs vs Pillow import fix; unrelated." + }, + { + "left": "pull_request:11726", + "right": "pull_request:11913", + "accept": false, + "reason": "Wan LoRA conversion logic vs modular Wan pipeline implementation; related ecosystem, but not the same change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and the only accepted soft edge, PR 11663 \u2194 PR 11738, is a conservative same-bugfix duplicate. The other rejections are appropriately cautious and do not overstate mergeability." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 171, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10114", + "pull_request:10419", + "pull_request:10723", + "pull_request:10758", + "pull_request:10922", + "pull_request:10943", + "pull_request:11095", + "pull_request:11252", + "pull_request:1129", + "pull_request:1171", + "pull_request:11770", + "pull_request:11913", + "pull_request:11995", + "pull_request:12062", + "pull_request:12395", + "pull_request:1250", + "pull_request:12934", + "pull_request:1309", + "pull_request:13229", + "pull_request:1338", + "pull_request:1588", + "pull_request:1968", + "pull_request:2037", + "pull_request:2339", + "pull_request:2347", + "pull_request:2384", + "pull_request:2489", + "pull_request:2529", + "pull_request:2565", + "pull_request:2590", + "pull_request:2593", + "pull_request:2861", + "pull_request:3121", + "pull_request:326", + "pull_request:3299", + "pull_request:3506", + "pull_request:3563", + "pull_request:3589", + "pull_request:3681", + "pull_request:3711", + "pull_request:4112", + "pull_request:4395", + "pull_request:4465", + "pull_request:530", + "pull_request:5499", + "pull_request:788", + "pull_request:9968" + ], + "soft_pairs": [ + "pull_request:10723|pull_request:10758", + "pull_request:11913|pull_request:11995", + "pull_request:10114|pull_request:11252", + "pull_request:10419|pull_request:11770", + "pull_request:10922|pull_request:10943", + "pull_request:11095|pull_request:9968", + "pull_request:1129|pull_request:1171", + "pull_request:12062|pull_request:12395", + "pull_request:1250|pull_request:326", + "pull_request:12934|pull_request:13229", + "pull_request:1309|pull_request:788", + "pull_request:1338|pull_request:530", + "pull_request:1588|pull_request:2861", + "pull_request:1968|pull_request:2565", + "pull_request:2037|pull_request:326", + "pull_request:2339|pull_request:4395", + "pull_request:2347|pull_request:4112", + "pull_request:2384|pull_request:3711", + "pull_request:2489|pull_request:3121", + "pull_request:2529|pull_request:4465", + "pull_request:2590|pull_request:3681", + "pull_request:2593|pull_request:3506", + "pull_request:3299|pull_request:3589", + "pull_request:3563|pull_request:5499" + ], + "prepared_review_unit_hash": "844999e387b261f711415d318517fa6ff5c9a305c627a8bd1d7f18322bb346f2", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 104852, + "estimated_input_tokens": 26213, + "estimated_eval_tokens": 52682 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft-edge pairs are largely false positives: they share broad keywords or subsystems (Wan, ControlNet, docs, CI, DreamBooth) but do not appear to fix the same concrete bug or implement the same change. I would not merge any of these pairs as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR stands out because the cluster is heterogeneous; if forced, PR 11995 is the broadest self-contained feature, but it is not a true duplicate anchor.", + "best_issue_reason": null, + "best_pr_reason": "PR 11995 is the closest thing to a broad representative, but this set is too mixed for any PR to serve as a strong canonical duplicate target.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10723", + "right": "pull_request:10758", + "accept": false, + "reason": "Different changes: ControlNet Union scaling vs from_pretrained type-checking docs/code." + }, + { + "left": "pull_request:11913", + "right": "pull_request:11995", + "accept": false, + "reason": "Both are modular-pipeline work, but they target different models and features (Wan vs Flux)." + }, + { + "left": "pull_request:10114", + "right": "pull_request:11252", + "accept": false, + "reason": "Unrelated edits: Stable Audio formatting vs a timeout constant fix in a utility script." + }, + { + "left": "pull_request:10419", + "right": "pull_request:11770", + "accept": false, + "reason": "Both touch docs, but one fixes scheduler docstrings and the other cleans up LoRA docs/base helpers." + }, + { + "left": "pull_request:10922", + "right": "pull_request:10943", + "accept": false, + "reason": "Same Wan ecosystem, but one adds Wan pipeline/model support and the other adds LoRA support; distinct changes." + }, + { + "left": "pull_request:11095", + "right": "pull_request:9968", + "accept": false, + "reason": "A small Flux ControlNet doc fix is not the same as a broad ControlNet module refactor." + }, + { + "left": "pull_request:1129", + "right": "pull_request:1171", + "accept": false, + "reason": "DreamBooth batch-size bug fix vs a typography/doc cleanup; unrelated underlying changes." + }, + { + "left": "pull_request:12062", + "right": "pull_request:12395", + "accept": false, + "reason": "Different CI concerns: GPU selection in workflows vs prerelease dependency installation." + }, + { + "left": "pull_request:1250", + "right": "pull_request:326", + "accept": false, + "reason": "Community pipeline addition is unrelated to a PNDM type-hint/doc change." + }, + { + "left": "pull_request:12934", + "right": "pull_request:13229", + "accept": false, + "reason": "Both are video-model releases, but they introduce different model support and code paths." + }, + { + "left": "pull_request:1309", + "right": "pull_request:788", + "accept": false, + "reason": "Both mention PIL, but one improves PIL handling broadly while the other fixes a specific warning issue." + }, + { + "left": "pull_request:1338", + "right": "pull_request:530", + "accept": false, + "reason": "ONNX inpainting cast order and img2img test flakiness are unrelated." + }, + { + "left": "pull_request:1588", + "right": "pull_request:2861", + "accept": false, + "reason": "FP16 test adjustments and StableUnCLIP image_embeds handling are different bugs." + }, + { + "left": "pull_request:1968", + "right": "pull_request:2565", + "accept": false, + "reason": "CPU offload docs/code and a UNet1D doc correction are unrelated." + }, + { + "left": "pull_request:2037", + "right": "pull_request:326", + "accept": false, + "reason": "A Stable UnCLIP community pipeline and PNDM type hints are not the same change." + }, + { + "left": "pull_request:2339", + "right": "pull_request:4395", + "accept": false, + "reason": "Both are DreamBooth-related, but one is checkpointing/docs and the other is class-prompt pre-encoding logic." + }, + { + "left": "pull_request:2347", + "right": "pull_request:4112", + "accept": false, + "reason": "Scheduler noising-schedule work is unrelated to adding rank to DreamBooth LoRA." + }, + { + "left": "pull_request:2384", + "right": "pull_request:3711", + "accept": false, + "reason": "A Pix2Pix0 utility revert and a doc-build workflow revert are unrelated." + }, + { + "left": "pull_request:2489", + "right": "pull_request:3121", + "accept": false, + "reason": "Core ML docs and ControlNet global pooling fix different concerns entirely." + }, + { + "left": "pull_request:2529", + "right": "pull_request:4465", + "accept": false, + "reason": "Stable Diffusion checkpoint conversion and ControlNet-to-TensorRT conversion are different conversion pipelines." + }, + { + "left": "pull_request:2590", + "right": "pull_request:3681", + "accept": false, + "reason": "CI deps-table checking and checkpoint-limit handling are unrelated." + }, + { + "left": "pull_request:2593", + "right": "pull_request:3506", + "accept": false, + "reason": "ControlNet checkpoint conversion and DreamBooth checkpoint resume logic are unrelated." + }, + { + "left": "pull_request:3299", + "right": "pull_request:3589", + "accept": false, + "reason": "DreamBooth LoRA doc/example updates and README reference tricks are separate doc changes." + }, + { + "left": "pull_request:3563", + "right": "pull_request:5499", + "accept": false, + "reason": "A VQ pipeline bug fix and general docs link fixes do not share the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 172, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10324", + "pull_request:10630", + "pull_request:11124", + "pull_request:11469", + "pull_request:11995", + "pull_request:12041", + "pull_request:12277", + "pull_request:12416", + "pull_request:12523", + "pull_request:1277", + "pull_request:1579", + "pull_request:1966", + "pull_request:2727", + "pull_request:3850", + "pull_request:3928", + "pull_request:4040", + "pull_request:4078", + "pull_request:4690", + "pull_request:5053", + "pull_request:5122", + "pull_request:5312", + "pull_request:5440", + "pull_request:5695", + "pull_request:5698", + "pull_request:6007", + "pull_request:6081", + "pull_request:6099", + "pull_request:6145", + "pull_request:6217", + "pull_request:652", + "pull_request:6658", + "pull_request:6893", + "pull_request:6918", + "pull_request:6965", + "pull_request:7158", + "pull_request:7335", + "pull_request:7455", + "pull_request:754", + "pull_request:7916", + "pull_request:7919", + "pull_request:7930", + "pull_request:8282", + "pull_request:8531", + "pull_request:8761", + "pull_request:9206", + "pull_request:9473", + "pull_request:9751" + ], + "soft_pairs": [ + "pull_request:3850|pull_request:5695", + "pull_request:3850|pull_request:6099", + "pull_request:3928|pull_request:4040", + "pull_request:4078|pull_request:5122", + "pull_request:4690|pull_request:6081", + "pull_request:5312|pull_request:6658", + "pull_request:5698|pull_request:6145", + "pull_request:6007|pull_request:8282", + "pull_request:6217|pull_request:8531", + "pull_request:652|pull_request:754", + "pull_request:6893|pull_request:8761", + "pull_request:6918|pull_request:7919", + "pull_request:6965|pull_request:7158", + "pull_request:7335|pull_request:7930", + "pull_request:7455|pull_request:9473", + "pull_request:7916|pull_request:9751", + "pull_request:1966|pull_request:2727", + "pull_request:12041|pull_request:12523", + "pull_request:11995|pull_request:12416", + "pull_request:5053|pull_request:5440", + "pull_request:10324|pull_request:9206", + "pull_request:10630|pull_request:11124", + "pull_request:11469|pull_request:12277", + "pull_request:1277|pull_request:1579" + ], + "prepared_review_unit_hash": "dca7a9469f7b4427eb618e5e1af86ee4217f477149b7058c930c6f0ee6e41955", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 101413, + "estimated_input_tokens": 25354, + "estimated_eval_tokens": 50964 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated test tweaks, docs edits, scheduler/model fixes, and feature PRs across many subsystems. I don\u2019t see any true duplicate pair here, so there is no sensible canonical artifact for the cluster.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:3850", + "right": "pull_request:5695", + "accept": false, + "reason": "Different pipelines and fixes: AudioDiffusion test setup vs PixArt-Alpha mask-feature logic." + }, + { + "left": "pull_request:3850", + "right": "pull_request:6099", + "accept": false, + "reason": "AudioDiffusion test fix is unrelated to TextToVideoZero constructor/super-class argument handling." + }, + { + "left": "pull_request:3928", + "right": "pull_request:4040", + "accept": false, + "reason": "ControlNet guidance-timestep bug and `_use_default_values` type change are different code paths and bug classes." + }, + { + "left": "pull_request:4078", + "right": "pull_request:5122", + "accept": false, + "reason": "Single-file accelerate requirement is unrelated to workflow Python-version bumps." + }, + { + "left": "pull_request:4690", + "right": "pull_request:6081", + "accept": false, + "reason": "DPMSolver scheduler refactor is not the same issue as the Stable Diffusion XL torch.compile sigma workaround." + }, + { + "left": "pull_request:5312", + "right": "pull_request:6658", + "accept": false, + "reason": "Docs/typehint cleanup in models is unrelated to adding memory-footprint utilities." + }, + { + "left": "pull_request:5698", + "right": "pull_request:6145", + "accept": false, + "reason": "LCM img2img bug fix is unrelated to comment cleanup in distillation scripts." + }, + { + "left": "pull_request:6007", + "right": "pull_request:8282", + "accept": false, + "reason": "Both are docs, but they cover different topics and changes, not the same underlying change." + }, + { + "left": "pull_request:6217", + "right": "pull_request:8531", + "accept": false, + "reason": "Torch-compile VAE fix and sharding/device_map loading fix affect different execution paths." + }, + { + "left": "pull_request:652", + "right": "pull_request:754", + "accept": false, + "reason": "Gradient-checkpointing test tolerance change is unrelated to community-pipeline dynamic module handling." + }, + { + "left": "pull_request:6893", + "right": "pull_request:8761", + "accept": false, + "reason": "3D UNet attention refactor and Hunyuan embedding refactor touch different models and problems." + }, + { + "left": "pull_request:6918", + "right": "pull_request:7919", + "accept": false, + "reason": "Hub-token security fix in training scripts is unrelated to offload behavior under `device_map`." + }, + { + "left": "pull_request:6965", + "right": "pull_request:7158", + "accept": false, + "reason": "A PEFT workflow test move and an LCM benchmark fix are unrelated test changes." + }, + { + "left": "pull_request:7335", + "right": "pull_request:7930", + "accept": false, + "reason": "ControlNet SDXL config/test cleanup and official callback tests do not fix the same bug." + }, + { + "left": "pull_request:7455", + "right": "pull_request:9473", + "accept": false, + "reason": "Removing distutils and Flux Dreambooth LR logic are unrelated changes." + }, + { + "left": "pull_request:7916", + "right": "pull_request:9751", + "accept": false, + "reason": "Both add NPU support, but for different models/pipelines and different code paths." + }, + { + "left": "pull_request:1966", + "right": "pull_request:2727", + "accept": false, + "reason": "Flax inpainting implementation and Flax ControlNet are separate feature additions." + }, + { + "left": "pull_request:12041", + "right": "pull_request:12523", + "accept": false, + "reason": "Both touch AutoencoderKLWan, but one fixes patchify logic while the other changes skip-key handling; not the same concrete bug." + }, + { + "left": "pull_request:11995", + "right": "pull_request:12416", + "accept": false, + "reason": "Different modular-pipeline additions: Flux text-to-image vs QwenImage Edit Plus." + }, + { + "left": "pull_request:5053", + "right": "pull_request:5440", + "accept": false, + "reason": "Validation-image arg parsing and single-file loading are unrelated changes." + }, + { + "left": "pull_request:10324", + "right": "pull_request:9206", + "accept": false, + "reason": "Kandinsky CPU offload API fix is unrelated to broken xformers test suppression." + }, + { + "left": "pull_request:10630", + "right": "pull_request:11124", + "accept": false, + "reason": "Flax test slice updates and CogView4 tokenizer test fix are unrelated test-only changes." + }, + { + "left": "pull_request:11469", + "right": "pull_request:12277", + "accept": false, + "reason": "Both disable tests, but for different pipelines and reasons; they do not share one concrete bug." + }, + { + "left": "pull_request:1277", + "right": "pull_request:1579", + "accept": false, + "reason": "INT8 quantization docs and Intel optimization example additions are different documentation/features." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 173, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10188", + "pull_request:10318", + "pull_request:10360", + "pull_request:10378", + "pull_request:10719", + "pull_request:10921", + "pull_request:11087", + "pull_request:11196", + "pull_request:11319", + "pull_request:11421", + "pull_request:11479", + "pull_request:11504", + "pull_request:12099", + "pull_request:12363", + "pull_request:12397", + "pull_request:12491", + "pull_request:12493", + "pull_request:12687", + "pull_request:13029", + "pull_request:13119", + "pull_request:13204", + "pull_request:1331", + "pull_request:1968", + "pull_request:2467", + "pull_request:3023", + "pull_request:3297", + "pull_request:3446", + "pull_request:349", + "pull_request:3607", + "pull_request:3673", + "pull_request:3708", + "pull_request:3804", + "pull_request:3847", + "pull_request:3912", + "pull_request:3957", + "pull_request:4040", + "pull_request:4596", + "pull_request:5057", + "pull_request:5653", + "pull_request:5754", + "pull_request:5948", + "pull_request:6144", + "pull_request:6150", + "pull_request:833", + "pull_request:8691", + "pull_request:8964", + "pull_request:9878" + ], + "soft_pairs": [ + "pull_request:5057|pull_request:5653", + "pull_request:10188|pull_request:8691", + "pull_request:10318|pull_request:10719", + "pull_request:10360|pull_request:8964", + "pull_request:10378|pull_request:11319", + "pull_request:10921|pull_request:11087", + "pull_request:11196|pull_request:12363", + "pull_request:11421|pull_request:9878", + "pull_request:11479|pull_request:11504", + "pull_request:12099|pull_request:12687", + "pull_request:12397|pull_request:12491", + "pull_request:12493|pull_request:13119", + "pull_request:13029|pull_request:13204", + "pull_request:1331|pull_request:349", + "pull_request:1968|pull_request:3673", + "pull_request:2467|pull_request:4040", + "pull_request:3023|pull_request:3957", + "pull_request:3023|pull_request:833", + "pull_request:3297|pull_request:4596", + "pull_request:3446|pull_request:5754", + "pull_request:3607|pull_request:3804", + "pull_request:3708|pull_request:5948", + "pull_request:3847|pull_request:6150", + "pull_request:3912|pull_request:6144" + ], + "prepared_review_unit_hash": "297f21d7ebf9c63c4c14a0f01d93deefdb658c26653a223fc7f4971e7f6bbfbd", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 97525, + "estimated_input_tokens": 24382, + "estimated_eval_tokens": 49020 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft duplicate pair looks like the same underlying bug/change. Most pairs only share a broad subsystem or theme (LoRA, Wan, docs, CI, attention), but the concrete edits and intent differ, so this cluster should not be merged into a single canonical PR.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a safe canonical representative here: the items are unrelated fixes/features across different code paths and docs, not one duplicate change.", + "best_issue_reason": null, + "best_pr_reason": "No PR stands out as a global best duplicate target because the cluster is not one coherent topic.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5057", + "right": "pull_request:5653", + "accept": false, + "reason": "Different changes: SDXL clip-skip support vs PEFT-aware model unwrapping in pipeline loading." + }, + { + "left": "pull_request:10188", + "right": "pull_request:8691", + "accept": false, + "reason": "Both touch LoRA loading, but one fixes mixed LoRA expansion handling in Flux and the other changes vanilla fine-tuned LoRA loading logic." + }, + { + "left": "pull_request:10318", + "right": "pull_request:10719", + "accept": false, + "reason": "Integration tests for Flux LoRA expansion are unrelated to adding provider_options to from_pretrained." + }, + { + "left": "pull_request:10360", + "right": "pull_request:8964", + "accept": false, + "reason": "Release workflow TestPyPI URL fix is unrelated to AudioLDM2 cache-position generation fix." + }, + { + "left": "pull_request:10378", + "right": "pull_request:11319", + "accept": false, + "reason": "Dreambooth LoRA training support is unrelated to adding a community-project docs entry." + }, + { + "left": "pull_request:10921", + "right": "pull_request:11087", + "accept": false, + "reason": "Wan 2.1 support is a large feature PR; the other is a small Wan I2V quality fix in one function." + }, + { + "left": "pull_request:11196", + "right": "pull_request:12363", + "accept": false, + "reason": "Safe-serialization behavior in ModelMixin is unrelated to QwenImageEdit Plus docs/tests." + }, + { + "left": "pull_request:11421", + "right": "pull_request:9878", + "accept": false, + "reason": "Interpolation default in dreambooth training is unrelated to gradient-checkpointing behavior across eval mode." + }, + { + "left": "pull_request:11479", + "right": "pull_request:11504", + "accept": false, + "reason": "Intel Gaudi doc rename is unrelated to dependency-table and CI trigger updates." + }, + { + "left": "pull_request:12099", + "right": "pull_request:12687", + "accept": false, + "reason": "Qwen device placement typo fix is unrelated to an autoencoder_dc typo rename." + }, + { + "left": "pull_request:12397", + "right": "pull_request:12491", + "accept": false, + "reason": "CI disabling main-branch installs is unrelated to adding a documentation link-check job." + }, + { + "left": "pull_request:12493", + "right": "pull_request:13119", + "accept": false, + "reason": "LTX-Video 0.9.8 docs/code updates are unrelated to Flux2 LoRA key conversion handling." + }, + { + "left": "pull_request:13029", + "right": "pull_request:13204", + "accept": false, + "reason": "Modular quickstart docs are unrelated to modular pipeline trust_remote_code handling." + }, + { + "left": "pull_request:1331", + "right": "pull_request:349", + "accept": false, + "reason": "Inpainting scheduler-order fix is unrelated to DDPM type-hint cleanup." + }, + { + "left": "pull_request:1968", + "right": "pull_request:3673", + "accept": false, + "reason": "CPU offload doc/correction work is unrelated to Dreambooth multi-GPU config handling." + }, + { + "left": "pull_request:2467", + "right": "pull_request:4040", + "accept": false, + "reason": "Latent output type feature PR is unrelated to keeping _use_default_values as a list." + }, + { + "left": "pull_request:3023", + "right": "pull_request:3957", + "accept": false, + "reason": "Both are attention-related, but one adds KV attention processor behavior and the other is an attn-name correction WIP; different code paths and goals." + }, + { + "left": "pull_request:3023", + "right": "pull_request:833", + "accept": false, + "reason": "Attention/KV processor work is unrelated to a release-version bump." + }, + { + "left": "pull_request:3297", + "right": "pull_request:4596", + "accept": false, + "reason": "Retrieval-augmented diffusion models project code is unrelated to an SDXL checkpoint conversion script." + }, + { + "left": "pull_request:3446", + "right": "pull_request:5754", + "accept": false, + "reason": "Pipeline loading warning-message cleanup is unrelated to styling fixes in example training scripts." + }, + { + "left": "pull_request:3607", + "right": "pull_request:3804", + "accept": false, + "reason": "Both mention attention, but one fixes temb attention and the other changes legacy attention block weight conversion for device maps." + }, + { + "left": "pull_request:3708", + "right": "pull_request:5948", + "accept": false, + "reason": "Custom release-version sorting is unrelated to from_pretrained variant warning logic." + }, + { + "left": "pull_request:3847", + "right": "pull_request:6150", + "accept": false, + "reason": "Soft-dependency tests/CI setup are unrelated to IP-Adapter converter implementation." + }, + { + "left": "pull_request:3912", + "right": "pull_request:6144", + "accept": false, + "reason": "Dreambooth LoRA text-encoder finetuning feature is unrelated to unwrapped UNet LoRA state saving." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 174, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10086", + "pull_request:10096", + "pull_request:10119", + "pull_request:10132", + "pull_request:10188", + "pull_request:10342", + "pull_request:10544", + "pull_request:10922", + "pull_request:11243", + "pull_request:12109", + "pull_request:12215", + "pull_request:12416", + "pull_request:12519", + "pull_request:13352", + "pull_request:3001", + "pull_request:3128", + "pull_request:4352", + "pull_request:4417", + "pull_request:4855", + "pull_request:4986", + "pull_request:5261", + "pull_request:5361", + "pull_request:5419", + "pull_request:5771", + "pull_request:5938", + "pull_request:6262", + "pull_request:6263", + "pull_request:6264", + "pull_request:6303", + "pull_request:6432", + "pull_request:6904", + "pull_request:6975", + "pull_request:7044", + "pull_request:7216", + "pull_request:7359", + "pull_request:7455", + "pull_request:7662", + "pull_request:7738", + "pull_request:8467", + "pull_request:8496", + "pull_request:8618", + "pull_request:8627", + "pull_request:9060", + "pull_request:9175", + "pull_request:9569", + "pull_request:9918", + "pull_request:9938", + "pull_request:9985" + ], + "soft_pairs": [ + "pull_request:4855|pull_request:6904", + "pull_request:5771|pull_request:6262", + "pull_request:5771|pull_request:6263", + "pull_request:5771|pull_request:6264", + "pull_request:6432|pull_request:7216", + "pull_request:7044|pull_request:7662", + "pull_request:7455|pull_request:7662", + "pull_request:7738|pull_request:8496", + "pull_request:8467|pull_request:9569", + "pull_request:8618|pull_request:9918", + "pull_request:9175|pull_request:9985", + "pull_request:5938|pull_request:6975", + "pull_request:12519|pull_request:13352", + "pull_request:4352|pull_request:4417", + "pull_request:5361|pull_request:5419", + "pull_request:6303|pull_request:7359", + "pull_request:3001|pull_request:4986", + "pull_request:3128|pull_request:5261", + "pull_request:12109|pull_request:12416", + "pull_request:12215|pull_request:12416", + "pull_request:10086|pull_request:10922", + "pull_request:10096|pull_request:8627", + "pull_request:10119|pull_request:10544", + "pull_request:10132|pull_request:9060", + "pull_request:10188|pull_request:11243", + "pull_request:10342|pull_request:9938" + ], + "prepared_review_unit_hash": "29fdd1a6f55ef8dc7d4a6370a5e3db034d1b8993cf14f78a2aca82e6fbe333c0", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 104279, + "estimated_input_tokens": 26070, + "estimated_eval_tokens": 52396 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft-edge candidates are mostly false positives: they share broad subsystems or adjacent themes, but they do not fix the same concrete bug or implement the same change. No issue is present, and there is no strong canonical PR anchor; the Flux/ControlNet pair is the closest on surface area but still too broad and different.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents a duplicate cluster here; the items span unrelated fixes/features, so there is no strong canonical PR anchor.", + "best_issue_reason": null, + "best_pr_reason": "PR 9985 is the broadest and most central feature PR in the set, but it is not a good duplicate representative because it bundles multiple Flux features rather than one specific fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4855", + "right": "pull_request:6904", + "accept": false, + "reason": "Unrelated fixes: CPU offload/state-hook handling vs PIL image loading support. Same repo area, different code paths." + }, + { + "left": "pull_request:5771", + "right": "pull_request:6262", + "accept": false, + "reason": "Refactor of loaders vs moving Panorama out of stable_diffusion; different subsystems and different changes." + }, + { + "left": "pull_request:5771", + "right": "pull_request:6263", + "accept": false, + "reason": "Refactor of loaders vs moving LDM3D out of stable_diffusion; not the same bug or change." + }, + { + "left": "pull_request:5771", + "right": "pull_request:6264", + "accept": false, + "reason": "Refactor of loaders vs moving SAG out of stable_diffusion; unrelated code paths." + }, + { + "left": "pull_request:6432", + "right": "pull_request:7216", + "accept": false, + "reason": "README learning-rate update vs from_single_file signature/documentation change. No shared concrete fix." + }, + { + "left": "pull_request:7044", + "right": "pull_request:7662", + "accept": false, + "reason": "Unet refactor restoration vs workflow cleanup in flax tests; unrelated changes." + }, + { + "left": "pull_request:7455", + "right": "pull_request:7662", + "accept": false, + "reason": "Distutils removal vs removing redundant packages in CI. Same general maintenance theme, but not the same change." + }, + { + "left": "pull_request:7738", + "right": "pull_request:8496", + "accept": false, + "reason": "LoRA device-placement fix vs SD3 warning-log guard. Different bugs and code paths." + }, + { + "left": "pull_request:8467", + "right": "pull_request:9569", + "accept": false, + "reason": "SEGA pipeline device fix vs CogVideoX autoencoder decode fix; unrelated models and failures." + }, + { + "left": "pull_request:8618", + "right": "pull_request:9918", + "accept": false, + "reason": "SD3 tiny autoencoder shift_factor change vs adding a server example; totally different deliverables." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9985", + "accept": false, + "reason": "Both touch Flux, but one adds Union ControlNet support while the other adds Fill/Canny/Depth/Redux variants. Broadly related, but not the same concrete feature or mergeable single PR." + }, + { + "left": "pull_request:5938", + "right": "pull_request:6975", + "accept": false, + "reason": "ControlNet LoRA support vs single-file ControlNet inpaint loading fix. Different functionality and code paths." + }, + { + "left": "pull_request:12519", + "right": "pull_request:13352", + "accept": false, + "reason": "Toctree sorting fix vs adding a checkout step to Claude review workflow; unrelated CI/docs changes." + }, + { + "left": "pull_request:4352", + "right": "pull_request:4417", + "accept": false, + "reason": "Kandinsky combined pipeline fixes vs Zero123 community pipeline support; unrelated features." + }, + { + "left": "pull_request:5361", + "right": "pull_request:5419", + "accept": false, + "reason": "Temporary PEFT integration testing PR vs adding PEFT CUDA slow tests on push. Same testing domain, but not the same change." + }, + { + "left": "pull_request:6303", + "right": "pull_request:7359", + "accept": false, + "reason": "ADD training script vs ResAdapter training script; both research examples, but different projects and code." + }, + { + "left": "pull_request:3001", + "right": "pull_request:4986", + "accept": false, + "reason": "Karras support in one scheduler vs a broad sigma-based refactor across multiple schedulers. Overlapping area, but not the same underlying change." + }, + { + "left": "pull_request:3128", + "right": "pull_request:5261", + "accept": false, + "reason": "Img2img timestep selection fix vs callback step indexing fix. Both scheduler-adjacent, but distinct bugs." + }, + { + "left": "pull_request:12109", + "right": "pull_request:12416", + "accept": false, + "reason": "UniPC custom sigmas/timesteps support vs QwenImage Edit Plus modular pipeline support; unrelated features." + }, + { + "left": "pull_request:12215", + "right": "pull_request:12416", + "accept": false, + "reason": "Qwen-Image ControlNet support vs QwenImage Edit Plus modular support. Same product family, but different concrete capabilities." + }, + { + "left": "pull_request:10086", + "right": "pull_request:10922", + "accept": false, + "reason": "SD3 skip-guidance bug fix vs Wan2.1 continuation PR; unrelated." + }, + { + "left": "pull_request:10096", + "right": "pull_request:8627", + "accept": false, + "reason": "Stale-bot label exemption vs SD3 ControlNet test trimming. No shared change." + }, + { + "left": "pull_request:10119", + "right": "pull_request:10544", + "accept": false, + "reason": "Docs for load_lora_adapter vs ParaAttention docs. Both documentation-only, but unrelated topics." + }, + { + "left": "pull_request:10132", + "right": "pull_request:9060", + "accept": false, + "reason": "Tokenizers CI update vs removing a debug print in transformer_flux. Different concerns and code paths." + }, + { + "left": "pull_request:10188", + "right": "pull_request:11243", + "accept": false, + "reason": "Flux LoRA error handling/test vs Wan LoRA conversion support. Both LoRA-related, but they fix different model families and behaviors." + }, + { + "left": "pull_request:10342", + "right": "pull_request:9938", + "accept": false, + "reason": "get_parameter_dtype behavior update vs SDXL reference pipeline docs/example update. Unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 175, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10351", + "pull_request:10547", + "pull_request:10557", + "pull_request:10810", + "pull_request:10894", + "pull_request:11059", + "pull_request:11252", + "pull_request:11743", + "pull_request:11813", + "pull_request:11894", + "pull_request:12018", + "pull_request:12231", + "pull_request:12315", + "pull_request:12424", + "pull_request:12450", + "pull_request:13119", + "pull_request:13120", + "pull_request:13204", + "pull_request:1414", + "pull_request:1415", + "pull_request:1468", + "pull_request:1494", + "pull_request:1945", + "pull_request:1951", + "pull_request:1965", + "pull_request:2101", + "pull_request:225", + "pull_request:2314", + "pull_request:2470", + "pull_request:2529", + "pull_request:2553", + "pull_request:2637", + "pull_request:2730", + "pull_request:2734", + "pull_request:2915", + "pull_request:3245", + "pull_request:3398", + "pull_request:3614", + "pull_request:3691", + "pull_request:3766", + "pull_request:4188", + "pull_request:889", + "pull_request:8964", + "pull_request:908", + "pull_request:957", + "pull_request:9676", + "pull_request:9684", + "pull_request:9687" + ], + "soft_pairs": [ + "pull_request:10351|pull_request:10557", + "pull_request:10547|pull_request:8964", + "pull_request:10557|pull_request:9676", + "pull_request:10810|pull_request:9684", + "pull_request:10810|pull_request:9687", + "pull_request:10894|pull_request:9676", + "pull_request:11059|pull_request:12315", + "pull_request:11252|pull_request:12424", + "pull_request:11743|pull_request:11813", + "pull_request:11894|pull_request:12450", + "pull_request:12018|pull_request:12231", + "pull_request:12315|pull_request:13119", + "pull_request:13120|pull_request:13204", + "pull_request:1414|pull_request:957", + "pull_request:1415|pull_request:2529", + "pull_request:1468|pull_request:1494", + "pull_request:1945|pull_request:3766", + "pull_request:1951|pull_request:225", + "pull_request:1965|pull_request:908", + "pull_request:2101|pull_request:2734", + "pull_request:2314|pull_request:3614", + "pull_request:2470|pull_request:4188", + "pull_request:2553|pull_request:889", + "pull_request:2637|pull_request:3245", + "pull_request:2637|pull_request:3398", + "pull_request:2730|pull_request:3245", + "pull_request:2730|pull_request:3398", + "pull_request:2915|pull_request:3691" + ], + "prepared_review_unit_hash": "8cb86ec45d07701c205e8f47cd3ce1154a83607f41c56b572c93553c2fc19780", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 97354, + "estimated_input_tokens": 24339, + "estimated_eval_tokens": 48934 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated LoRA, CI, docs, modular pipeline, and training-related PRs. 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Related area, but not the same concrete fix." + }, + { + "left": "pull_request:1414", + "right": "pull_request:957", + "accept": false, + "reason": "A CLIP-guided stable diffusion helper fix and a DDPMScheduler parameter cleanup are unrelated." + }, + { + "left": "pull_request:1415", + "right": "pull_request:2529", + "accept": false, + "reason": "A broad stable-diffusion test/code cleanup is not the same issue as fixing OpenCLIP checkpoint conversion." + }, + { + "left": "pull_request:1468", + "right": "pull_request:1494", + "accept": false, + "reason": "Saving trained betas and adding safetensors serialization are both save-related but distinct features." + }, + { + "left": "pull_request:1945", + "right": "pull_request:3766", + "accept": false, + "reason": "UNet block tests and a Kandinsky conversion script update address different codebases and problems." + }, + { + "left": "pull_request:1951", + "right": "pull_request:225", + "accept": false, + "reason": "Updating ColossalAI integration and editing the README for a release are unrelated." + }, + { + "left": "pull_request:1965", + "right": "pull_request:908", + "accept": false, + "reason": "Checkpoint merger import cleanup and StableDiffusion mega inpaint pipeline selection are different fixes." + }, + { + "left": "pull_request:2101", + "right": "pull_request:2734", + "accept": false, + "reason": "Pix2Pix docs/example updates and Habana documentation number updates do not share the same underlying bug." + }, + { + "left": "pull_request:2314", + "right": "pull_request:3691", + "accept": false, + "reason": "Fast-test slice tolerances and LoRAAttnProcessor2_0 selection for text-encoder LoRA are unrelated." + }, + { + "left": "pull_request:2470", + "right": "pull_request:4188", + "accept": false, + "reason": "MPS test skips and SDXL ControlNet training fingerprinting are separate test/training concerns." + }, + { + "left": "pull_request:2553", + "right": "pull_request:889", + "accept": false, + "reason": "Flax CFG flag handling and the pipeline components API are different pipeline features, not duplicates." + }, + { + "left": "pull_request:2637", + "right": "pull_request:3245", + "accept": false, + "reason": "A quicktour typo fix and a Chinese docs navigation update are unrelated docs changes." + }, + { + "left": "pull_request:2637", + "right": "pull_request:3398", + "accept": false, + "reason": "Both are tiny doc typo fixes, but they correct different text in different files and are not the same change." + }, + { + "left": "pull_request:2730", + "right": "pull_request:3245", + "accept": false, + "reason": "Unconditional training docs cleanup and translated docs navigation changes are unrelated." + }, + { + "left": "pull_request:2730", + "right": "pull_request:3398", + "accept": false, + "reason": "Different documentation pages and different wording fixes; 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"accept": false, + "reason": "ControlNet LoRA support and IP-Adapter support to inpaint are different feature additions." + }, + { + "left": "pull_request:10187", + "right": "pull_request:9862", + "accept": false, + "reason": "Both are LoRA-related, but one improves no-op warnings while the other adds save_lora_adapter; not the same underlying change." + }, + { + "left": "pull_request:10069", + "right": "pull_request:11196", + "accept": false, + "reason": "Device-type validation in model loading is unrelated to the safetensors save_pretrained change." + }, + { + "left": "pull_request:10119", + "right": "pull_request:9105", + "accept": false, + "reason": "Docs for load_lora_adapter and deprecating revision parameter are unrelated documentation changes." + }, + { + "left": "pull_request:10148", + "right": "pull_request:8696", + "accept": false, + "reason": "Adding OmniGen is unrelated to marking Marigold tests flaky." + }, + { + "left": "pull_request:10188", + "right": "pull_request:11196", + "accept": false, + "reason": "Flux LoRA test/message tweaks do not match the ModelMixin safetensors save_pretrained revert." + }, + { + "left": "pull_request:10230", + "right": "pull_request:8691", + "accept": false, + "reason": "LoRA loader docs and vanilla LoRA loading behavior are not the same code change." + }, + { + "left": "pull_request:10358", + "right": "pull_request:10544", + "accept": false, + "reason": "Both are docs PRs, but for different pages and topics: community projects vs ParaAttention." + }, + { + "left": "pull_request:10370", + "right": "pull_request:10970", + "accept": false, + "reason": "TorchAO style cleanup and the GH action swap are unrelated maintenance changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + 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"Textual inversion loader support and upsample_size support in UNet blocks are different features." + }, + { + "left": "pull_request:2279", + "right": "pull_request:2827", + "accept": false, + "reason": "Both concern lint/style tooling, but these are different repo-wide hygiene changes, not one concrete bug or change." + }, + { + "left": "pull_request:2793", + "right": "pull_request:2928", + "accept": false, + "reason": "A docs removal about cuDNN benchmark is unrelated to allowing custom local datasets in ControlNet training." + }, + { + "left": "pull_request:2793", + "right": "pull_request:4887", + "accept": false, + "reason": "No shared code-path problem: docs cleanup vs removing latents from Kandinsky prior_emb2emb." + }, + { + "left": "pull_request:2861", + "right": "pull_request:3208", + "accept": false, + "reason": "A Stable UnCLIP test for image_embeds=None is unrelated to Token Merging docs." + }, + { + "left": "pull_request:2959", + "right": "pull_request:5053", + "accept": false, + "reason": "A UNet3D norm-group test fix is unrelated to the validation_image CLI argument change." + }, + { + "left": "pull_request:3023", + "right": "pull_request:3127", + "accept": false, + "reason": "Different subsystems: attention processor/KV handling vs safety checker image masking." + }, + { + "left": "pull_request:3275", + "right": "pull_request:5111", + "accept": false, + "reason": "UNet block upsample_size plumbing and Karras sigma scheduler support are unrelated." + }, + { + "left": "pull_request:3297", + "right": "pull_request:4595", + "accept": false, + "reason": "A retrieval-augmented diffusion model project is not the same as an SDXL-to-original conversion script." + }, + { + "left": "pull_request:3934", + "right": "pull_request:4963", + "accept": false, + "reason": "These are unrelated reverts: automatic chunking vs accelerate-main install changes." + }, + { + "left": "pull_request:3934", + "right": "pull_request:5615", + "accept": false, + "reason": "Different 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"split": true, + "analyst_result": { + "summary": "The cluster is a grab bag of unrelated diffusers PRs spanning docs, CI, LoRA, single-file loading, SD3, and examples. None of the soft-edge pairs look like the same underlying bug or change, so I would not merge any of them as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a true duplicate of the others. If a representative PR is needed, #5771 is the broadest core-code change in the set (large loaders/LoRA refactor across many files), so it is the best stand-in for the cluster.", + "best_issue_reason": null, + "best_pr_reason": "#5771 is the strongest representative because it is a substantial, cross-cutting code change in the core loader/LoRA path and is more central than the many narrow docs/tests/CI fixes in this group.", + "soft_edge_verdicts": [ + { + "left": "pull_request:530", + "right": "pull_request:748", + "accept": false, + "reason": "Different fixes in different areas: img2img test adjustment vs push_to_hub call cleanup for training scripts." + }, + { + "left": "pull_request:5393", + "right": "pull_request:7216", + "accept": false, + "reason": "Both touch docs/examples around hub/file handling, but one updates API usage while the other changes the from_single_file signature and loader behavior." + }, + { + "left": "pull_request:5771", + "right": "pull_request:6261", + "accept": false, + "reason": "Unrelated changes: a broad loaders/LoRA refactor vs moving Attend-and-Excite into its own module." + }, + { + "left": "pull_request:5833", + "right": "pull_request:7339", + "accept": false, + "reason": "Single-file ControlNet import fix and release-workflow dependency changes are unrelated." + }, + { + "left": "pull_request:5834", + "right": "pull_request:7339", + "accept": false, + "reason": "Single-file import path correction is unrelated to release workflow dependency setup." + }, + { + "left": "pull_request:6237", + "right": "pull_request:6864", + "accept": false, + "reason": "Docs-only changes about seeds vs LoRA/torch.compile guidance; different concerns and code paths." + }, + { + "left": "pull_request:6426", + "right": "pull_request:8267", + "accept": false, + "reason": "Both mention deprecation, but one is a broad LoRA deprecation cleanup and the other is specific resume_download handling in single-file loaders." + }, + { + "left": "pull_request:6633", + "right": "pull_request:7247", + "accept": false, + "reason": "One fixes checkpoint config file reading; the other changes single-file config-shape tests. Not the same bug." + }, + { + "left": "pull_request:7044", + "right": "pull_request:7295", + "accept": false, + "reason": "Different loader/refactor changes: restoring a UNet refactor vs cleaning copy-paste residue in the UNet single-file loader." + }, + { + "left": "pull_request:7116", + "right": "pull_request:7153", + "accept": false, + "reason": "CI workflow install tooling vs documentation path filtering; not the same underlying change." + }, + { + "left": "pull_request:7913", + "right": "pull_request:9447", + "accept": false, + "reason": "ControlNet SDXL timestep/sigma support is unrelated to pipeline save_pretrained sharding defaults." + }, + { + "left": "pull_request:8564", + "right": "pull_request:8631", + "accept": false, + "reason": "SD3 training docs/code for T5 sequence length vs a single-file loader fix for T5 checkpoints; same model family, different problems." + }, + { + "left": "pull_request:8591", + "right": "pull_request:8618", + "accept": false, + "reason": "SD3 training utility refactor vs adding shift_factor to the tiny autoencoder; different code paths and purposes." + }, + { + "left": "pull_request:8591", + "right": "pull_request:8627", + "accept": false, + "reason": "Training-utility refactor is unrelated to adding SD3 ControlNet docs/models/tests." + }, + { + "left": "pull_request:8618", + "right": "pull_request:9735", + "accept": false, + "reason": "Tiny autoencoder shift_factor addition and SD3 ControlNet example update are separate features." + }, + { + "left": "pull_request:8627", + "right": "pull_request:9735", + "accept": false, + "reason": "SD3 ControlNet model/docs addition is broader and different from updating a training example." + }, + { + "left": "pull_request:9400", + "right": "pull_request:9536", + "accept": false, + "reason": "Device-agnostic test updates and ChatGLMTokenizer padding signature fixes are unrelated." + }, + { + "left": "pull_request:1966", + "right": "pull_request:594", + "accept": false, + "reason": "Flax inpainting implementation vs Flax UNet/DDIM embedding/scheduler fix are different feature areas." + }, + { + "left": "pull_request:5038", + "right": "pull_request:5204", + "accept": false, + "reason": "LoRA-related, but one makes optional args explicit in Transformer2D while the other fixes text encoder scaling across many pipelines." + }, + { + "left": "pull_request:6752", + "right": "pull_request:8739", + "accept": false, + "reason": "Distinct community pipeline additions with different pipelines and goals." + }, + { + "left": "pull_request:10105", + "right": "pull_request:9103", + "accept": false, + "reason": "Broken doc link fix vs distributed LR scheduler logic correction; unrelated." + }, + { + "left": "pull_request:1269", + "right": "pull_request:1470", + "accept": false, + "reason": "Stable-diffusion refactor finalization vs DreamBooth AltDiffusion compatibility are separate changes." + }, + { + "left": "pull_request:13294", + "right": "pull_request:13365", + "accept": false, + "reason": "Flaky WanVACE test cleanup vs fork-support CI workflow changes; no shared bug/change." + }, + { + "left": "pull_request:4365", + "right": "pull_request:4749", + "accept": false, + "reason": "Both mention SDXL LoRA, but one adds a new training example while the other fixes checkpoint saving/loading for an existing script." + }, + { + "left": "pull_request:4793", + "right": "pull_request:4862", + "accept": false, + "reason": "Auto-pipeline kwargs forwarding and ControlNet SDXL MultiControlNet height/width handling are unrelated bugs." + }, + { + "left": "pull_request:5085", + "right": "pull_request:5697", + "accept": false, + "reason": "Different LoRA issues: offloading incompatible checkpoints vs xformers-enabled PEFT scaling." + }, + { + "left": "pull_request:6237", + "right": "pull_request:6929", + "accept": false, + "reason": "Seed batching docs and community pipeline docs are different documentation topics with no shared code change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 182, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10042", + "pull_request:10114", + "pull_request:10115", + "pull_request:10132", + "pull_request:10148", + "pull_request:10245", + "pull_request:10299", + "pull_request:10312", + "pull_request:10318", + "pull_request:10322", + "pull_request:10326", + "pull_request:10420", + "pull_request:10430", + "pull_request:10585", + "pull_request:10648", + "pull_request:10784", + "pull_request:10810", + "pull_request:10837", + "pull_request:10894", + "pull_request:11080", + "pull_request:11319", + "pull_request:11366", + "pull_request:11428", + "pull_request:11639", + "pull_request:11647", + "pull_request:11778", + "pull_request:11997", + "pull_request:12024", + "pull_request:12909", + "pull_request:2954", + "pull_request:3125", + "pull_request:4780", + "pull_request:5038", + "pull_request:5202", + "pull_request:5823", + "pull_request:7096", + "pull_request:7906", + "pull_request:8618", + "pull_request:8684", + "pull_request:8685", + "pull_request:8985", + "pull_request:9015", + "pull_request:9107", + "pull_request:9765", + "pull_request:9769", + "pull_request:9807", + "pull_request:9832", + "pull_request:9934" + ], + "soft_pairs": [ + "pull_request:2954|pull_request:3125", + "pull_request:5038|pull_request:5823", + "pull_request:7096|pull_request:7906", + "pull_request:4780|pull_request:5202", + "pull_request:10837|pull_request:11428", + "pull_request:11639|pull_request:11997", + "pull_request:12024|pull_request:12909", + "pull_request:10042|pull_request:9832", + "pull_request:10114|pull_request:10894", + "pull_request:10115|pull_request:9107", + "pull_request:10132|pull_request:11366", + "pull_request:10148|pull_request:11319", + "pull_request:10148|pull_request:8618", + "pull_request:10245|pull_request:8685", + "pull_request:10299|pull_request:9934", + "pull_request:10312|pull_request:11080", + "pull_request:10318|pull_request:11319", + "pull_request:10322|pull_request:8985", + "pull_request:10326|pull_request:8684", + "pull_request:10420|pull_request:9015", + "pull_request:10430|pull_request:9769", + "pull_request:10585|pull_request:10784", + "pull_request:10648|pull_request:11647", + "pull_request:10784|pull_request:11778", + "pull_request:10784|pull_request:9765", + "pull_request:10810|pull_request:9807" + ], + "prepared_review_unit_hash": "ccc0b56992256f6a0d5018cd8b449985cfaaa5089c9c8ccefc008eaa2378418d", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 97099, + "estimated_input_tokens": 24275, + "estimated_eval_tokens": 48806 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All soft edges look like false positives: these PRs mostly cover unrelated docs, CI, tests, or distinct feature/fix work within broad subsystems. No single canonical duplicate pair emerges.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the cluster is heterogeneous, and the apparent similarities are mostly broad subsystem overlap rather than the same underlying change.", + "best_issue_reason": null, + "best_pr_reason": "PR 10148 is the strongest standalone representative by scope and review activity, but it is still not a duplicate anchor for the other items.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2954", + "right": "pull_request:3125", + "accept": false, + "reason": "Different changes: TextToVideoZero pipeline addition vs multi-control-image handling in ControlNet inpaint docs/example code." + }, + { + "left": "pull_request:5038", + "right": "pull_request:5823", + "accept": false, + "reason": "Both relate to LoRA, but one is an API signature cleanup and the other adds adapter_names support; different code paths and goals." + }, + { + "left": "pull_request:7096", + "right": "pull_request:7906", + "accept": false, + "reason": "Both are training/examples work, but they target different projects and scripts; not the same bug or change." + }, + { + "left": "pull_request:4780", + "right": "pull_request:5202", + "accept": false, + "reason": "PEFT/LoRA-related, but one is broad PEFT integration and the other adds Kohya checkpoint key mapping; not mergeable as one fix." + }, + { + "left": "pull_request:10837", + "right": "pull_request:11428", + "accept": false, + "reason": "Both touch HunyuanVideo docs/pipeline surface area, but one adds SkyReels T2V/I2V and the other adds Framepack; distinct features." + }, + { + "left": "pull_request:11639", + "right": "pull_request:11997", + "accept": false, + "reason": "Wan-related, but one standardizes v2v VAE sampling while the other adds modular I2V/FLF2V blocks; separate changes." + }, + { + "left": "pull_request:12024", + "right": "pull_request:12909", + "accept": false, + "reason": "Both modify Wan transformer code, but they fix different issues: timestep reshaping vs context-parallel handling." + }, + { + "left": "pull_request:10042", + "right": "pull_request:9832", + "accept": false, + "reason": "Both CI/workflow-related, but one removes a workflow and the other adds quantization nightly tests; unrelated." + }, + { + "left": "pull_request:10114", + "right": "pull_request:10894", + "accept": false, + "reason": "One is a formatting fix in Stable Audio; the other is docs toctree sorting. No shared bug or change." + }, + { + "left": "pull_request:10115", + "right": "pull_request:9107", + "accept": false, + "reason": "Flux rotary embedding bugfix vs SD3 LoRA loading hook fix; different models and code paths." + }, + { + "left": "pull_request:10132", + "right": "pull_request:11366", + "accept": false, + "reason": "Tokenizers update in PEFT backend workflow vs Hidream transformer output shape/API change; unrelated." + }, + { + "left": "pull_request:10148", + "right": "pull_request:11319", + "accept": false, + "reason": "OmniGen feature addition vs a community-projects docs entry; not the same underlying change." + }, + { + "left": "pull_request:10148", + "right": "pull_request:8618", + "accept": false, + "reason": "OmniGen is a large new pipeline/model feature; the other changes SD3 tiny autoencoder config. Different work." + }, + { + "left": "pull_request:10245", + "right": "pull_request:8685", + "accept": false, + "reason": "PEFT docs text change vs SD3 float8 note; both documentation-only but about different topics." + }, + { + "left": "pull_request:10299", + "right": "pull_request:9934", + "accept": false, + "reason": "GGUF docs generator placement fix vs Mochi docs expansion; unrelated documentation updates." + }, + { + "left": "pull_request:10312", + "right": "pull_request:11080", + "accept": false, + "reason": "Attention head_to_batch_dim bugfix vs Kandinsky image resize/divisibility fix; different subsystems and bugs." + }, + { + "left": "pull_request:10318", + "right": "pull_request:11319", + "accept": false, + "reason": "Flux LoRA integration tests vs community projects docs entry; no shared implementation or bug." + }, + { + "left": "pull_request:10322", + "right": "pull_request:8985", + "accept": false, + "reason": "Sana 2K model conversion support vs reducing Lumina test size; unrelated." + }, + { + "left": "pull_request:10326", + "right": "pull_request:8684", + "accept": false, + "reason": "MPS workflow quoting fix vs Pillow import docs fix; no common code-path problem." + }, + { + "left": "pull_request:10420", + "right": "pull_request:9015", + "accept": false, + "reason": "LTX checkpoint ID docs fix vs PIA example cleanup; unrelated doc updates." + }, + { + "left": "pull_request:10430", + "right": "pull_request:9769", + "accept": false, + "reason": "TeaCache core implementation vs Mochi T2V model/pipeline addition; not the same change." + }, + { + "left": "pull_request:10585", + "right": "pull_request:10784", + "accept": false, + "reason": "Mochi VAE annotation cleanup vs Lumina2 input validation fix; different models and bugs." + }, + { + "left": "pull_request:10648", + "right": "pull_request:11647", + "accept": false, + "reason": "DDPM docs adding sigmoid schedule vs adding Finegrained FP8 quantization; unrelated." + }, + { + "left": "pull_request:10784", + "right": "pull_request:11778", + "accept": false, + "reason": "Lumina2 input validation vs Wan VACE mask padding; separate bugs in different pipelines." + }, + { + "left": "pull_request:10784", + "right": "pull_request:9765", + "accept": false, + "reason": "Lumina2 validation bugfix vs SD3 docstring typo fix; different scope and no shared code-path." + }, + { + "left": "pull_request:10810", + "right": "pull_request:9807", + "accept": false, + "reason": "Flux LoRA conversion improvements vs AutoencoderKL LoRA adapter support; both LoRA-related but distinct fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 183, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10819", + "pull_request:10834", + "pull_request:10837", + "pull_request:10885", + "pull_request:11066", + "pull_request:11067", + "pull_request:11243", + "pull_request:11290", + "pull_request:11366", + "pull_request:11537", + "pull_request:11564", + "pull_request:11583", + "pull_request:11647", + "pull_request:11722", + "pull_request:1194", + "pull_request:12018", + "pull_request:12062", + "pull_request:12134", + "pull_request:12142", + "pull_request:12143", + "pull_request:12231", + "pull_request:12233", + "pull_request:1229", + "pull_request:12330", + "pull_request:12360", + "pull_request:12391", + "pull_request:12420", + "pull_request:12434", + "pull_request:12450", + "pull_request:12551", + "pull_request:12631", + "pull_request:12644", + "pull_request:12675", + "pull_request:12686", + "pull_request:12705", + "pull_request:12797", + "pull_request:12856", + "pull_request:13022", + "pull_request:13076", + "pull_request:13164", + "pull_request:13218", + "pull_request:13454", + "pull_request:2983", + "pull_request:3172", + "pull_request:45", + "pull_request:9687", + "pull_request:9735" + ], + "soft_pairs": [ + "pull_request:10819|pull_request:11564", + "pull_request:10834|pull_request:11537", + "pull_request:10837|pull_request:11066", + "pull_request:10885|pull_request:11647", + "pull_request:11067|pull_request:12062", + "pull_request:11243|pull_request:9687", + "pull_request:11290|pull_request:12420", + "pull_request:11366|pull_request:9735", + "pull_request:11583|pull_request:12134", + "pull_request:11722|pull_request:12233", + "pull_request:1194|pull_request:3172", + "pull_request:1194|pull_request:45", + "pull_request:12018|pull_request:12391", + "pull_request:12018|pull_request:12797", + "pull_request:12142|pull_request:13022", + "pull_request:12143|pull_request:13022", + "pull_request:12231|pull_request:12705", + "pull_request:1229|pull_request:2983", + "pull_request:12330|pull_request:13218", + "pull_request:12360|pull_request:12434", + "pull_request:12450|pull_request:13164", + "pull_request:12551|pull_request:13454", + "pull_request:12631|pull_request:13076", + "pull_request:12644|pull_request:12675", + "pull_request:12686|pull_request:12856" + ], + "prepared_review_unit_hash": "6226cfd80508a92dd23ed696a2d96cd9dad972a434711f442d564d7610a303f3", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 94778, + "estimated_input_tokens": 23695, + "estimated_eval_tokens": 47646 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is a grab bag of unrelated docs, CI, and code-change PRs. None of the soft-edge pairs look like the same underlying bug or change, so I would not merge any pair for duplicate triage.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a credible canonical representative: the items span unrelated documentation edits, CI tweaks, model additions, and code fixes rather than one duplicated change.", + "best_issue_reason": null, + "best_pr_reason": "No PR stands out as a global best duplicate target because the cluster does not cohere around one bug or feature; it is mostly accidental title/subsystem similarity.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10819", + "right": "pull_request:11564", + "accept": false, + "reason": "One is docs for LoRA loader entries; the other adds a dependency to a Dreambooth example. Different purpose and code paths." + }, + { + "left": "pull_request:10834", + "right": "pull_request:11537", + "accept": false, + "reason": "GGUFParameter bugfix versus adding torch.compile tests for UNet2DConditionModel. No shared underlying change." + }, + { + "left": "pull_request:10837", + "right": "pull_request:11066", + "accept": false, + "reason": "Both touch HunyuanVideo docs/pipelines, but one adds SkyReels Hunyuan T2V/I2V and the other adds a new HunyuanVideo-I2V variant. Distinct features." + }, + { + "left": "pull_request:10885", + "right": "pull_request:11647", + "accept": false, + "reason": "Both mention docs/_toctree, but one is only adding CogVideoX scheduler docs while the other introduces Finegrained FP8 quantization. Unrelated." + }, + { + "left": "pull_request:11067", + "right": "pull_request:12062", + "accept": false, + "reason": "Both edit benchmark CI, but one pins transformers and the other changes GPU container options across multiple workflows. Different fixes." + }, + { + "left": "pull_request:11243", + "right": "pull_request:9687", + "accept": false, + "reason": "Musubi Wan LoRA conversion support versus Xlabs ControlNet support. Different model families and implementation paths." + }, + { + "left": "pull_request:11290", + "right": "pull_request:12420", + "accept": false, + "reason": "Dockerfile torch version pinning/unpinning is unrelated to conditional import handling in attention dispatch." + }, + { + "left": "pull_request:11366", + "right": "pull_request:9735", + "accept": false, + "reason": "Hidream transformer output signature change versus SD3 ControlNet example updates. Different components and intent." + }, + { + "left": "pull_request:11583", + "right": "pull_request:12134", + "accept": false, + "reason": "Both are docs cleanup, but one removes an obsolete tutorial and the other refreshes Stable Diffusion tutorial content/title. Not the same change." + }, + { + "left": "pull_request:11722", + "right": "pull_request:12233", + "accept": false, + "reason": "A misleading comment fix in a conversion script versus a wording/title change in quantization docs. No shared bug." + }, + { + "left": "pull_request:1194", + "right": "pull_request:3172", + "accept": false, + "reason": "Both update docs/workflows, but one changes doc-builder GitHub Actions and the other adds reproducibility guidance. Unrelated." + }, + { + "left": "pull_request:1194", + "right": "pull_request:45", + "accept": false, + "reason": "Both touch doc workflow files, but the changes are different workflow migrations and broad documentation wiring, not the same fix." + }, + { + "left": "pull_request:12018", + "right": "pull_request:12391", + "accept": false, + "reason": "Both edit quantization overview wording, but one fixes a link label and the other reorganizes the quantization section/docs. Not the same concrete change." + }, + { + "left": "pull_request:12018", + "right": "pull_request:12797", + "accept": false, + "reason": "Different docs fixes in different files and topics: quantization wording versus Kandinsky 5.0 minor docs fixes." + }, + { + "left": "pull_request:12142", + "right": "pull_request:13022", + "accept": false, + "reason": "Wan VACE bf16/fp16 masking fix is unrelated to CUDA/xformers Dockerfile adjustments." + }, + { + "left": "pull_request:12143", + "right": "pull_request:13022", + "accept": false, + "reason": "Wan VACE dtype fix and test adjustment versus Dockerfile changes. Different underlying issue." + }, + { + "left": "pull_request:12231", + "right": "pull_request:12705", + "accept": false, + "reason": "Typos in many example scripts versus broader typo cleanup across docs and modular pipeline files. Similar theme, but not the same change." + }, + { + "left": "pull_request:1229", + "right": "pull_request:2983", + "accept": false, + "reason": "Old Dreambooth README example tweak versus later contribution guide instructions for installing test dependencies. Different docs and intent." + }, + { + "left": "pull_request:12330", + "right": "pull_request:13218", + "accept": false, + "reason": "Pipeline-level group offloading test cleanup versus skipping a Helios float16 test. Different test suites and failure modes." + }, + { + "left": "pull_request:12360", + "right": "pull_request:13218", + "accept": false, + "reason": "Chroma guidance docs fix versus Helios pipeline test skip. No shared code-path problem." + }, + { + "left": "pull_request:12450", + "right": "pull_request:13164", + "accept": false, + "reason": "Both touch CI dependency installation, but one revisits many CI/install paths while the other removes test deps from specific workflows. Not mergeable as one fix." + }, + { + "left": "pull_request:12551", + "right": "pull_request:13454", + "accept": false, + "reason": "Skipping Sana layerwise casting tests is unrelated to xfailed CLIP-related pipeline tests." + }, + { + "left": "pull_request:12631", + "right": "pull_request:13076", + "accept": false, + "reason": "Distributed inference docs update versus a TorchAo quantization syntax fix. Different documentation topics and issues." + }, + { + "left": "pull_request:12644", + "right": "pull_request:12675", + "accept": false, + "reason": "AutoModel docs introduction versus Sana Video docs typo/wording cleanup. Different docs areas and changes." + }, + { + "left": "pull_request:12686", + "right": "pull_request:12856", + "accept": false, + "reason": "Both are Kandinsky 5.0 docs/model additions, but the second is a massive z-image-omni-base implementation touching many unrelated docs and code paths. Too broad to treat as the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 184, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1292", + "pull_request:1397", + "pull_request:1423", + "pull_request:1437", + "pull_request:1508", + "pull_request:1697", + "pull_request:1765", + "pull_request:1788", + "pull_request:1850", + "pull_request:1903", + "pull_request:1951", + "pull_request:2009", + "pull_request:2103", + "pull_request:2129", + "pull_request:2183", + "pull_request:2257", + "pull_request:2330", + "pull_request:2349", + "pull_request:2365", + "pull_request:2384", + "pull_request:2405", + "pull_request:2490", + "pull_request:2598", + "pull_request:2811", + "pull_request:2817", + "pull_request:2894", + "pull_request:2959", + "pull_request:3006", + "pull_request:3172", + "pull_request:3201", + "pull_request:3226", + "pull_request:326", + "pull_request:3265", + "pull_request:3331", + "pull_request:3561", + "pull_request:3709", + "pull_request:3716", + "pull_request:396", + "pull_request:416", + "pull_request:533", + "pull_request:564", + "pull_request:570", + "pull_request:703", + "pull_request:748", + "pull_request:806", + "pull_request:840", + "pull_request:975" + ], + "soft_pairs": [ + "pull_request:1292|pull_request:2405", + "pull_request:1397|pull_request:1423", + "pull_request:1437|pull_request:3331", + "pull_request:1508|pull_request:3561", + "pull_request:1508|pull_request:748", + "pull_request:1697|pull_request:1951", + "pull_request:1765|pull_request:564", + "pull_request:1788|pull_request:570", + "pull_request:1850|pull_request:2959", + "pull_request:1903|pull_request:3006", + "pull_request:2009|pull_request:2183", + "pull_request:2103|pull_request:806", + "pull_request:2129|pull_request:3716", + "pull_request:2257|pull_request:840", + "pull_request:2330|pull_request:3226", + "pull_request:2349|pull_request:396", + "pull_request:2349|pull_request:416", + "pull_request:2365|pull_request:326", + "pull_request:2384|pull_request:3201", + "pull_request:2384|pull_request:3265", + "pull_request:2384|pull_request:533", + "pull_request:2490|pull_request:3709", + "pull_request:2598|pull_request:3172", + "pull_request:2811|pull_request:703", + "pull_request:2817|pull_request:975", + "pull_request:2894|pull_request:3226" + ], + "prepared_review_unit_hash": "5bedd509e03651660c878380310a63721da496606ebd7535b7b419796df50596", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 98421, + "estimated_input_tokens": 24606, + "estimated_eval_tokens": 49468 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These PRs are a mixed set of unrelated docs edits, example updates, scheduler/model fixes, and reverts. 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pipeline/schedulers are different features." + }, + { + "left": "pull_request:2257", + "right": "pull_request:840", + "accept": false, + "reason": "Both community examples, but one adds an UnCLIP interpolation pipeline and the other adds a dummy one-step UNet example." + }, + { + "left": "pull_request:2330", + "right": "pull_request:3226", + "accept": false, + "reason": "Ethical guidelines docs vs ControlNet v1.1 docs are unrelated documentation additions." + }, + { + "left": "pull_request:2349", + "right": "pull_request:396", + "accept": false, + "reason": "Karras scheduler overview docs vs DDIM docs are different documentation targets." + }, + { + "left": "pull_request:2349", + "right": "pull_request:416", + "accept": false, + "reason": "Scheduler overview docs vs general models docs are unrelated documentation changes." + }, + { + "left": "pull_request:2365", + "right": "pull_request:326", + "accept": false, + "reason": "Type-note cleanup for KarrasDiffusionSchedulers is not the 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unrelated." + }, + { + "left": "pull_request:3608", + "right": "pull_request:5505", + "accept": false, + "reason": "Text-to-image argument typo fix vs ControlNet naming typo fix; unrelated docs/example updates." + }, + { + "left": "pull_request:3681", + "right": "pull_request:4132", + "accept": false, + "reason": "Manual checkpoint-limit handling across examples vs making accelerate optional in ckpt conversion; different concerns." + }, + { + "left": "pull_request:3786", + "right": "pull_request:4347", + "accept": false, + "reason": "PR template addition vs scheduler step_index implementation; unrelated." + }, + { + "left": "pull_request:3806", + "right": "pull_request:5747", + "accept": false, + "reason": "Checkpoint-loading note in README vs dataset data_dir parameter in training scripts; unrelated." + }, + { + "left": "pull_request:382", + "right": "pull_request:392", + "accept": false, + "reason": "DDPM pipeline docs vs contribution guide docs; unrelated documentation pages." + }, + { + "left": "pull_request:382", + "right": "pull_request:404", + "accept": false, + "reason": "DDPM docs vs fp16 optimization docs; different docs topics." + }, + { + "left": "pull_request:382", + "right": "pull_request:417", + "accept": false, + "reason": "DDPM docs vs pipeline inference docs; not the same page or change." + }, + { + "left": "pull_request:3820", + "right": "pull_request:5768", + "accept": false, + "reason": "LDM3D typo/docs fix vs dataset data_dir parameter fixes; unrelated." + }, + { + "left": "pull_request:386", + "right": "pull_request:391", + "accept": false, + "reason": "Stable Diffusion docs vs PNDM docs; separate pipeline documentation." + }, + { + "left": "pull_request:388", + "right": "pull_request:396", + "accept": false, + "reason": "Unconditional latent diffusion docs vs DDIM docs; different pipeline docs." + }, + { + "left": "pull_request:388", + "right": "pull_request:416", + "accept": false, + "reason": "Unconditional latent diffusion docs vs models API docs; unrelated documentation areas." + }, + { + "left": "pull_request:390", + "right": "pull_request:391", + "accept": false, + "reason": "MPS optimization guide vs PNDM docs; unrelated docs pages." + }, + { + "left": "pull_request:4058", + "right": "pull_request:4155", + "accept": false, + "reason": "SDXL docs formatting fix vs SDXL ControlNet pipeline behavior fix; docs-only vs code change." + }, + { + "left": "pull_request:4058", + "right": "pull_request:6485", + "accept": false, + "reason": "SDXL docs typo fix vs PR template reviewer edit; unrelated." + }, + { + "left": "pull_request:4196", + "right": "pull_request:4227", + "accept": false, + "reason": "SDXL docs improvement vs missing import in textual inversion example; unrelated." + }, + { + "left": "pull_request:4259", + "right": "pull_request:5698", + "accept": false, + "reason": "Circular import fix in loaders/ckpt conversion vs LCM img2img pipeline fix; different code paths." + }, + { + "left": "pull_request:4284", + "right": "pull_request:5768", + "accept": false, + "reason": "LDM3D documentation typo fix vs dataset data_dir parameter fix; unrelated." + }, + { + "left": "pull_request:4498", + "right": "pull_request:5384", + "accept": false, + "reason": "SDXL reference-feature community example vs hypernetwork support in loaders; 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unrelated." + }, + { + "left": "pull_request:4819", + "right": "pull_request:5033", + "accept": false, + "reason": "Both are inpainting-related, but they fix different concrete bugs: masked latent inputs vs regular text2img UNet handling." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 188, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10132", + "pull_request:10200", + "pull_request:1038", + "pull_request:10494", + "pull_request:10597", + "pull_request:10633", + "pull_request:1147", + "pull_request:11504", + "pull_request:11613", + "pull_request:11728", + "pull_request:12363", + "pull_request:12425", + "pull_request:1269", + "pull_request:12973", + "pull_request:13029", + "pull_request:13150", + "pull_request:13332", + "pull_request:13365", + "pull_request:1508", + "pull_request:1582", + "pull_request:1583", + "pull_request:1910", + "pull_request:1926", + "pull_request:2345", + "pull_request:2347", + "pull_request:2398", + "pull_request:241", + "pull_request:2470", + "pull_request:2565", + "pull_request:2655", + "pull_request:2919", + "pull_request:3275", + "pull_request:3297", + "pull_request:3657", + "pull_request:3928", + "pull_request:402", + "pull_request:4070", + "pull_request:4188", + "pull_request:4214", + "pull_request:4223", + "pull_request:4245", + "pull_request:453", + "pull_request:4944", + "pull_request:51", + "pull_request:538", + "pull_request:5713", + "pull_request:630", + "pull_request:9269" + ], + "soft_pairs": [ + "pull_request:4944|pull_request:5713", + "pull_request:10132|pull_request:10494", + "pull_request:10200|pull_request:9269", + "pull_request:1038|pull_request:51", + "pull_request:10597|pull_request:10633", + "pull_request:1147|pull_request:630", + "pull_request:11504|pull_request:11728", + "pull_request:11613|pull_request:12425", + "pull_request:12363|pull_request:13029", + "pull_request:1269|pull_request:3297", + "pull_request:12973|pull_request:13365", + "pull_request:13150|pull_request:13332", + "pull_request:1508|pull_request:453", + "pull_request:1582|pull_request:538", + "pull_request:1583|pull_request:538", + "pull_request:1910|pull_request:402", + "pull_request:1926|pull_request:241", + "pull_request:2345|pull_request:3275", + "pull_request:2347|pull_request:2398", + "pull_request:2470|pull_request:4223", + "pull_request:2565|pull_request:2655", + "pull_request:2565|pull_request:402", + "pull_request:2919|pull_request:4188", + "pull_request:3657|pull_request:3928", + "pull_request:3928|pull_request:4214", + "pull_request:4070|pull_request:4245" + ], + "prepared_review_unit_hash": "0a43b74809378693ca8816b5a552aea30db7a2e4d235072a0e82bffcd92491c3", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 101757, + "estimated_input_tokens": 25440, + "estimated_eval_tokens": 51136 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated PRs across docs, CI/workflows, model support, training scripts, and scheduler/model bugfixes. The soft-edge pairs share broad files or subsystems, but not the same concrete change or bug.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the items are heterogeneous and do not converge on one underlying code change or bug.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good global representative; splitting by topic is more accurate than collapsing the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4944", + "right": "pull_request:5713", + "accept": false, + "reason": "Both concern IP-Adapter, but one is an early WIP loader change and the other is the later full feature implementation; not the same concrete PR-worthy fix." + }, + { + "left": "pull_request:10132", + "right": "pull_request:10494", + "accept": false, + "reason": "Both edit pr_tests.yml, but they fix different tokenizers installation issues in different test contexts." + }, + { + "left": "pull_request:10200", + "right": "pull_request:9269", + "accept": false, + "reason": "Unrelated refactors: ControlNet Union cleanup vs 3D RoPE refactor for CogVideoX." + }, + { + "left": "pull_request:1038", + "right": "pull_request:51", + "accept": false, + "reason": "Flax dtype fix vs a packaging install_requires typo; no shared bug or change." + }, + { + "left": "pull_request:10597", + "right": "pull_request:10633", + "accept": false, + "reason": "Different docs changes: SD3 IP-Adapter checkpoint update vs adding a Flux IP-Adapter example." + }, + { + "left": "pull_request:1147", + "right": "pull_request:630", + "accept": false, + "reason": "Flax text-encoder loading fix vs unrelated Flax from_pretrained mismatch cleanup." + }, + { + "left": "pull_request:11504", + "right": "pull_request:11728", + "accept": false, + "reason": "Both touch CI/container setup, but one updates dependency pinning and the other adds quantization libs to a doc-builder image." + }, + { + "left": "pull_request:11613", + "right": "pull_request:12425", + "accept": false, + "reason": "A large torch.compile CI revert is unrelated to the torch.distributed import guard fix." + }, + { + "left": "pull_request:12363", + "right": "pull_request:13029", + "accept": false, + "reason": "QwenImageEdit Plus docs/test additions vs a modular quickstart docs rewrite; different features entirely." + }, + { + "left": "pull_request:1269", + "right": "pull_request:3297", + "accept": false, + "reason": "Stable diffusion refactor and retrieval-augmented diffusion models are different code paths and goals." + }, + { + "left": "pull_request:12973", + "right": "pull_request:13365", + "accept": false, + "reason": "GLM-Image model support is unrelated to Claude review workflow support on forks." + }, + { + "left": "pull_request:13150", + "right": "pull_request:13332", + "accept": false, + "reason": "A test helper change for recompile limits vs dependency testing workflow tightening; not the same bug." + }, + { + "left": "pull_request:1508", + "right": "pull_request:453", + "accept": false, + "reason": "Dreambooth documentation clarification vs installation typo fix; unrelated docs changes." + }, + { + "left": "pull_request:1582", + "right": "pull_request:538", + "accept": false, + "reason": "RePaint scheduler fix vs hub version bump; completely different changes." + }, + { + "left": "pull_request:1583", + "right": "pull_request:538", + "accept": false, + "reason": "Inpaint-legacy scheduler fix vs hub version bump; not the same issue." + }, + { + "left": "pull_request:1910", + "right": "pull_request:402", + "accept": false, + "reason": "Korean docs rollout and intro-section docs cleanup are different documentation changes." + }, + { + "left": "pull_request:1926", + "right": "pull_request:241", + "accept": false, + "reason": "Oneflow support work is unrelated to adding the inpainting example script." + }, + { + "left": "pull_request:2345", + "right": "pull_request:3275", + "accept": false, + "reason": "xFormers warning for training scripts vs adding upsample_size to UNet blocks; different problems." + }, + { + "left": "pull_request:2347", + "right": "pull_request:2398", + "accept": false, + "reason": "Scheduler noising schedule changes vs Pix2Pix Zero docs improvements; not a duplicate fix." + }, + { + "left": "pull_request:2470", + "right": "pull_request:4223", + "accept": false, + "reason": "MPS test skips vs ControlNet SDXL training script fixes; unrelated." + }, + { + "left": "pull_request:2565", + "right": "pull_request:2655", + "accept": false, + "reason": "Unet1D docs correction vs LoRA load/save behavior fix; different scope." + }, + { + "left": "pull_request:2565", + "right": "pull_request:402", + "accept": false, + "reason": "Unet1D docs correction and intro docs restructuring are unrelated documentation edits." + }, + { + "left": "pull_request:2919", + "right": "pull_request:4188", + "accept": false, + "reason": "Test speedup by shrinking model config vs SDXL ControlNet training follow-up; not the same change." + }, + { + "left": "pull_request:3657", + "right": "pull_request:3928", + "accept": false, + "reason": "ControlNet checkpoint parsing tweaks vs controlnet out-of-list runtime fix; different concrete bugs." + }, + { + "left": "pull_request:3928", + "right": "pull_request:4214", + "accept": false, + "reason": "ControlNet runtime logic fix vs bf16 custom diffusion fix; unrelated." + }, + { + "left": "pull_request:4070", + "right": "pull_request:4245", + "accept": false, + "reason": "SDXL docs link cleanup vs adding safetensors flags across docs; different documentation tasks." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 189, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1006", + "pull_request:12086", + "pull_request:12117", + "pull_request:12418", + "pull_request:12519", + "pull_request:2476", + "pull_request:3652", + "pull_request:3681", + "pull_request:4099", + "pull_request:4595", + "pull_request:4887", + "pull_request:4987", + "pull_request:51", + "pull_request:5301", + "pull_request:5385", + "pull_request:5615", + "pull_request:5788", + "pull_request:5842", + "pull_request:5974", + "pull_request:6078", + "pull_request:6114", + "pull_request:6119", + "pull_request:6208", + "pull_request:6217", + "pull_request:6225", + "pull_request:6229", + "pull_request:6265", + "pull_request:6759", + "pull_request:6886", + "pull_request:6952", + "pull_request:7115", + "pull_request:7158", + "pull_request:7202", + "pull_request:7353", + "pull_request:7778", + "pull_request:7790", + "pull_request:816", + "pull_request:8303", + "pull_request:8378", + "pull_request:8389", + "pull_request:8452", + "pull_request:8510", + "pull_request:8564", + "pull_request:8702", + "pull_request:8973", + "pull_request:9323", + "pull_request:9569", + "pull_request:9896" + ], + "soft_pairs": [ + "pull_request:4099|pull_request:6078", + "pull_request:4595|pull_request:6114", + "pull_request:4887|pull_request:7115", + "pull_request:4987|pull_request:6265", + "pull_request:4987|pull_request:6886", + "pull_request:51|pull_request:816", + "pull_request:5385|pull_request:7202", + "pull_request:5615|pull_request:7790", + "pull_request:5788|pull_request:7158", + "pull_request:6119|pull_request:8378", + "pull_request:6208|pull_request:8510", + "pull_request:6217|pull_request:8303", + "pull_request:6229|pull_request:7778", + "pull_request:6759|pull_request:6952", + "pull_request:7158|pull_request:8389", + "pull_request:7353|pull_request:9323", + "pull_request:8452|pull_request:9569", + "pull_request:8510|pull_request:9569", + "pull_request:8564|pull_request:8702", + "pull_request:8973|pull_request:9896", + "pull_request:12086|pull_request:12117", + "pull_request:1006|pull_request:2476", + "pull_request:12418|pull_request:12519", + "pull_request:3652|pull_request:3681", + "pull_request:5301|pull_request:6225", + "pull_request:5842|pull_request:5974" + ], + "prepared_review_unit_hash": "75ebd737b473fa90e465d8f19be5871edfd8e04b69f4043efc3f35f202e0f181", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 93374, + "estimated_input_tokens": 23344, + "estimated_eval_tokens": 46944 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster does not contain a true duplicate set: the soft pairs are mostly unrelated PRs that only share broad subsystem names, a file path, or generic wording. I would reject all soft edges and avoid picking a canonical PR for the cluster.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:4099", + "right": "pull_request:6078", + "accept": false, + "reason": "Both are SDXL-era changes, but one fixes prompt-embed handling while the other fixes Euler sigma initialization. Different bugs and different code paths." + }, + { + "left": "pull_request:4595", + "right": "pull_request:6114", + "accept": false, + "reason": "Unrelated work: a WIP SDXL conversion project versus adding img2img/inpaint support to a community lpw-xL example." + }, + { + "left": "pull_request:4887", + "right": "pull_request:7115", + "accept": false, + "reason": "Different areas entirely: Kandinsky prior_emb2emb API cleanup versus a Dockerfile change for JAX TPU images." + }, + { + "left": "pull_request:4987", + "right": "pull_request:6265", + "accept": false, + "reason": "One removes a duplicate import entry; the other refactors GLIGEN into its own pipeline package. Same name family, not the same change." + }, + { + "left": "pull_request:4987", + "right": "pull_request:6886", + "accept": false, + "reason": "Import-structure cleanup is unrelated to the later deprecation fix for `.to(torch_dtype=...)` across converter scripts and tests." + }, + { + "left": "pull_request:51", + "right": "pull_request:816", + "accept": false, + "reason": "A packaging pin fix and a training-loss dtype cast are different issues with no shared underlying bug." + }, + { + "left": "pull_request:5385", + "right": "pull_request:7202", + "accept": false, + "reason": "One updates a copy-checking utility; the other removes an obsolete requirement from an example requirements file." + }, + { + "left": "pull_request:5615", + "right": "pull_request:7790", + "accept": false, + "reason": "Both touch SDXL-adjacent community code, but one reverts LoRA loading behavior and the other adapts a masked img2img community pipeline for SDXL. Not the same code-path problem." + }, + { + "left": "pull_request:5788", + "right": "pull_request:7158", + "accept": false, + "reason": "Both mention benchmarking, but one adds an LCM scheduler error check while the other modifies benchmark workflow/runtime behavior. Different fixes." + }, + { + "left": "pull_request:6119", + "right": "pull_request:8378", + "accept": false, + "reason": "FP16 gradient/LoRA training fix versus an AsymmetricAutoencoderKL forward-path fix. No shared bug." + }, + { + "left": "pull_request:6208", + "right": "pull_request:8510", + "accept": false, + "reason": "One addresses a Stable Diffusion VAE dtype mismatch at decode time; the other changes DreamBooth LoRA learning-rate scheduler math. Unrelated." + }, + { + "left": "pull_request:6217", + "right": "pull_request:8303", + "accept": false, + "reason": "Torch-compile VAE compatibility fix versus a documentation typo in philosophy.md. Not duplicates by any reasonable standard." + }, + { + "left": "pull_request:6229", + "right": "pull_request:7778", + "accept": false, + "reason": "A CI dependency tweak and a debugging workflow addition are different maintenance changes, not one underlying issue." + }, + { + "left": "pull_request:6759", + "right": "pull_request:6952", + "accept": false, + "reason": "InstantID prompt-image embedding handling versus textual inversion model-card utilities. Different pipelines and purposes." + }, + { + "left": "pull_request:7158", + "right": "pull_request:8389", + "accept": false, + "reason": "Both are benchmark-related, but one changes the benchmark execution/base class logic and the other rewires the benchmark workflow and container. Same area, not the same bug." + }, + { + "left": "pull_request:7353", + "right": "pull_request:9323", + "accept": false, + "reason": "One adds FromSingleFileMixin to SDXL ControlNet img2img; the other changes single-file model defaults for inpainting/v1. Different loading concerns." + }, + { + "left": "pull_request:8452", + "right": "pull_request:9569", + "accept": false, + "reason": "Single-file loading strictness fix versus a CogVideoX autoencoder decode guard. No common concrete change." + }, + { + "left": "pull_request:8510", + "right": "pull_request:9569", + "accept": false, + "reason": "DreamBooth LR scheduler logic and CogVideoX decoding are unrelated code paths." + }, + { + "left": "pull_request:8564", + "right": "pull_request:8702", + "accept": false, + "reason": "SD3 training token-limit support and a standalone SD3 conversion script are separate features, not one fix." + }, + { + "left": "pull_request:8973", + "right": "pull_request:9896", + "accept": false, + "reason": "Reducing Lumina test model size is unrelated to reverting Flux device/typecasting changes." + }, + { + "left": "pull_request:12086", + "right": "pull_request:12117", + "accept": false, + "reason": "Both are Flux/QwenImage-era additions, but one adds modular Flux I2I support and the other adds QwenImage img2img/inpaint pipelines. Distinct features and code paths." + }, + { + "left": "pull_request:1006", + "right": "pull_request:2476", + "accept": false, + "reason": "Large-batch interpolate workaround in resnet versus Attend-and-Excite image-size support. Same broad theme of size handling, but not the same bug." + }, + { + "left": "pull_request:12418", + "right": "pull_request:12519", + "accept": false, + "reason": "Xfailing a legacy test in CI is unrelated to a docs toctree sorting fix." + }, + { + "left": "pull_request:3652", + "right": "pull_request:3681", + "accept": false, + "reason": "Both touch checkpoint-related training code, but one changes checkpoint naming in tests/scripts while the other switches checkpoint limit enforcement away from Accelerate across many example scripts. Related ecosystem, different underlying change." + }, + { + "left": "pull_request:5301", + "right": "pull_request:6225", + "accept": false, + "reason": "SDXL text-encoder support fix versus LoRA alpha parsing/loading correctness. They affect different subsystems and bug reports." + }, + { + "left": "pull_request:5842", + "right": "pull_request:5974", + "accept": false, + "reason": "Both edit PixArtAlphaPipeline, but one fixes 512px aspect-ratio selection and the other adds a timesteps helper for LCM adaptation. Not mergeable as one PR for one bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 190, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10322", + "pull_request:10731", + "pull_request:1089", + "pull_request:10975", + "pull_request:11142", + "pull_request:11522", + "pull_request:11595", + "pull_request:11999", + "pull_request:12188", + "pull_request:12424", + "pull_request:12581", + "pull_request:12805", + "pull_request:12960", + "pull_request:1299", + "pull_request:12998", + "pull_request:130", + "pull_request:13056", + "pull_request:1386", + "pull_request:1968", + "pull_request:1977", + "pull_request:2279", + "pull_request:2314", + "pull_request:3723", + "pull_request:5038", + "pull_request:5111", + "pull_request:5697", + "pull_request:6241", + "pull_request:6311", + "pull_request:6332", + "pull_request:6365", + "pull_request:6673", + "pull_request:6787", + "pull_request:7206", + "pull_request:7507", + "pull_request:788", + "pull_request:7924", + "pull_request:7934", + "pull_request:8467", + "pull_request:8618", + "pull_request:8627", + "pull_request:8722", + "pull_request:9160", + "pull_request:9175", + "pull_request:9442", + "pull_request:9736", + "pull_request:978", + "pull_request:9816" + ], + "soft_pairs": [ + "pull_request:6241|pull_request:7924", + "pull_request:6787|pull_request:7507", + "pull_request:7934|pull_request:9442", + "pull_request:10322|pull_request:11142", + "pull_request:10731|pull_request:10975", + "pull_request:1089|pull_request:1386", + "pull_request:11142|pull_request:12188", + "pull_request:11522|pull_request:12424", + "pull_request:11595|pull_request:11999", + "pull_request:12424|pull_request:12960", + "pull_request:12581|pull_request:13056", + "pull_request:12805|pull_request:12998", + "pull_request:1299|pull_request:130", + "pull_request:1968|pull_request:2314", + "pull_request:1977|pull_request:2279", + "pull_request:2279|pull_request:3723", + "pull_request:5038|pull_request:5697", + "pull_request:5111|pull_request:6365", + "pull_request:6311|pull_request:8627", + "pull_request:6332|pull_request:8467", + "pull_request:6673|pull_request:6787", + "pull_request:7206|pull_request:9160", + "pull_request:788|pull_request:978", + "pull_request:8618|pull_request:9736", + "pull_request:8722|pull_request:9736", + "pull_request:9175|pull_request:9816" + ], + "prepared_review_unit_hash": "bd671abc67e33fcb780a9b0091b2e099a2e0f02e850009dd91be596fd4d09c7f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 101892, + "estimated_input_tokens": 25473, + "estimated_eval_tokens": 51202 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster does not contain a true duplicate set: the soft pairs span unrelated docs, CI/workflow, training-script, model, scheduler, and pipeline changes. All soft edges should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR stands out because the items are not one underlying bug/change; they cover many distinct subsystems and feature additions.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR for deduping: the strongest candidates are feature or maintenance PRs, not evidence of a shared duplicate fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6241", + "right": "pull_request:7924", + "accept": false, + "reason": "Unrelated bugs: a runtime dtype/bias error vs. an IP-Adapter conditional fix in SDXL ControlNet inpaint." + }, + { + "left": "pull_request:6787", + "right": "pull_request:7507", + "accept": false, + "reason": "Different features: Marigold depth input-range handling vs. a new InstantID SDXL img2img community pipeline." + }, + { + "left": "pull_request:7934", + "right": "pull_request:9442", + "accept": false, + "reason": "Single-file config loading when passing dicts is unrelated to CI test scheduling for deprecated attention blocks." + }, + { + "left": "pull_request:10322", + "right": "pull_request:11142", + "accept": false, + "reason": "Same script, but different Sana model families and converter updates; not the same concrete fix." + }, + { + "left": "pull_request:10731", + "right": "pull_request:10975", + "accept": false, + "reason": "Video pipeline output typing changes vs. Wan pipeline bug fixes are separate code paths and changes." + }, + { + "left": "pull_request:1089", + "right": "pull_request:1386", + "accept": false, + "reason": "Docs-only scheduler usage guidance is not the same as implementing v-prediction in schedulers." + }, + { + "left": "pull_request:11142", + "right": "pull_request:12188", + "accept": false, + "reason": "Sana Sprint converter adjustments and Qwen-Image-Edit dimension logic are unrelated." + }, + { + "left": "pull_request:11522", + "right": "pull_request:12424", + "accept": false, + "reason": "Audioldm2 transformers compatibility fix and Docker/workflow definition cleanup are unrelated maintenance changes." + }, + { + "left": "pull_request:11595", + "right": "pull_request:11999", + "accept": false, + "reason": "Both touch LoRA code, but one is a narrow Flux load-lora fix and the other is a broader PEFT injection-method adaptation; not the same bug." + }, + { + "left": "pull_request:12424", + "right": "pull_request:12960", + "accept": false, + "reason": "Docker/workflow definition cleanup is unrelated to the Flux2 training-script FSDP detection fix." + }, + { + "left": "pull_request:12581", + "right": "pull_request:13056", + "accept": false, + "reason": "LoRA Qwen support changes and a Z-Image DreamBooth training example are different features." + }, + { + "left": "pull_request:12805", + "right": "pull_request:12998", + "accept": false, + "reason": "PyPI publish workflow tweaks do not match a style-only cleanup across pipeline docstrings." + }, + { + "left": "pull_request:1299", + "right": "pull_request:130", + "accept": false, + "reason": "AltDiffusion model/docs addition is unrelated to a small examples README update about accelerate config." + }, + { + "left": "pull_request:1968", + "right": "pull_request:2314", + "accept": false, + "reason": "CPU offload behavior correction is unrelated to fast-test expected-slice adjustments." + }, + { + "left": "pull_request:1977", + "right": "pull_request:2279", + "accept": false, + "reason": "These are different areas: training-script/scheduler tweaks vs. repo linting tool migration." + }, + { + "left": "pull_request:2279", + "right": "pull_request:3723", + "accept": false, + "reason": "Ruff/black workflow migration is unrelated to the community reference-pipeline update." + }, + { + "left": "pull_request:5038", + "right": "pull_request:5697", + "accept": false, + "reason": "Making optional arguments explicit in a transformer layer is not the same as fixing PEFT LoRA with xformers enabled." + }, + { + "left": "pull_request:5111", + "right": "pull_request:6365", + "accept": false, + "reason": "Both affect the same scheduler file, but one adds Karras-sigma support while the other fixes MPS dtype handling; different bugs." + }, + { + "left": "pull_request:6311", + "right": "pull_request:8627", + "accept": false, + "reason": "A fast-diffusion tutorial and SD3 ControlNet docs/model additions are separate documentation/features." + }, + { + "left": "pull_request:6332", + "right": "pull_request:8467", + "accept": false, + "reason": "Different community examples: Rerender-A-Video vs. SEGA pipeline bugfix." + }, + { + "left": "pull_request:6673", + "right": "pull_request:6787", + "accept": false, + "reason": "InstantID pipeline addition and Marigold input-range fix are unrelated." + }, + { + "left": "pull_request:7206", + "right": "pull_request:9160", + "accept": false, + "reason": "Training-script tagging changes are unrelated to Flux DreamBooth latent-caching behavior." + }, + { + "left": "pull_request:788", + "right": "pull_request:978", + "accept": false, + "reason": "PIL sampler warning fixes in img2img/inpaint are not duplicates of typo/documentation edits." + }, + { + "left": "pull_request:8618", + "right": "pull_request:9736", + "accept": false, + "reason": "SD3 tiny autoencoder shift_factor support and Allegro T2V are different model additions." + }, + { + "left": "pull_request:8722", + "right": "pull_request:9736", + "accept": false, + "reason": "A large embeddings refactor is not the same change as adding Allegro T2V support." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9816", + "accept": false, + "reason": "Flux ControlNet support and RF-inversion Flux pipeline are distinct Flux features with different code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 191, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10354", + "pull_request:10497", + "pull_request:10557", + "pull_request:10894", + "pull_request:11067", + "pull_request:11243", + "pull_request:11975", + "pull_request:12021", + "pull_request:12095", + "pull_request:1229", + "pull_request:12416", + "pull_request:12424", + "pull_request:12519", + "pull_request:12960", + "pull_request:13126", + "pull_request:13321", + "pull_request:13338", + "pull_request:13364", + "pull_request:1458", + "pull_request:1582", + "pull_request:1583", + "pull_request:1913", + "pull_request:1942", + "pull_request:2001", + "pull_request:2655", + "pull_request:3034", + "pull_request:3128", + "pull_request:3294", + "pull_request:3446", + "pull_request:3590", + "pull_request:3673", + "pull_request:3681", + "pull_request:4062", + "pull_request:4262", + "pull_request:4690", + "pull_request:4706", + "pull_request:4744", + "pull_request:4793", + "pull_request:5393", + "pull_request:5438", + "pull_request:5697", + "pull_request:5807", + "pull_request:676", + "pull_request:6994", + "pull_request:7461", + "pull_request:823", + "pull_request:9696", + "pull_request:9807" + ], + "soft_pairs": [ + "pull_request:12416|pull_request:13126", + "pull_request:12519|pull_request:13321", + "pull_request:4062|pull_request:5438", + "pull_request:12021|pull_request:12095", + "pull_request:10354|pull_request:9696", + "pull_request:10497|pull_request:11067", + "pull_request:10557|pull_request:9696", + "pull_request:10894|pull_request:11975", + "pull_request:11243|pull_request:9807", + "pull_request:1229|pull_request:1458", + "pull_request:12424|pull_request:13338", + "pull_request:12960|pull_request:13364", + "pull_request:1582|pull_request:676", + "pull_request:1583|pull_request:676", + "pull_request:1913|pull_request:823", + "pull_request:1942|pull_request:2001", + "pull_request:2655|pull_request:3294", + "pull_request:3034|pull_request:3446", + "pull_request:3128|pull_request:3673", + "pull_request:3590|pull_request:5807", + "pull_request:3681|pull_request:4690", + "pull_request:4262|pull_request:4706", + "pull_request:4744|pull_request:5393", + "pull_request:4793|pull_request:6994", + "pull_request:5697|pull_request:7461" + ], + "prepared_review_unit_hash": "0b32cb05907abd372412851a41c9ecd272517da66070a7397def844dc23ce9e5", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 96059, + "estimated_input_tokens": 24015, + "estimated_eval_tokens": 48286 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a true duplicate cluster: the soft edges connect largely unrelated PRs across docs, CI, model code, loaders, examples, and workflows. I rejected all candidate pairs as they do not fix the same concrete bug/change.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No coherent canonical PR: the items are heterogeneous and do not represent one underlying bug or change.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good global representative because the candidates span unrelated subsystems and purposes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12416", + "right": "pull_request:13126", + "accept": false, + "reason": "Different features and code paths: QwenImage Edit Plus modular support vs Z-Image distilled LoRA conversion." + }, + { + "left": "pull_request:12519", + "right": "pull_request:13321", + "accept": false, + "reason": "Unrelated changes: toctree sorting in docs vs guarding a torchvision import in Cosmos." + }, + { + "left": "pull_request:4062", + "right": "pull_request:5438", + "accept": false, + "reason": "Different product areas: Shap-E 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a training example are not the same change." + }, + { + "left": "pull_request:11243", + "right": "pull_request:9807", + "accept": false, + "reason": "Both touch LoRA-related code, but one adds Musubi WAN LoRA conversion while the other adds PeftAdapterMixin to AutoencoderKL; different concrete code paths." + }, + { + "left": "pull_request:1229", + "right": "pull_request:1458", + "accept": false, + "reason": "DreamBooth README wording vs onnxruntime package detection are unrelated." + }, + { + "left": "pull_request:12424", + "right": "pull_request:13338", + "accept": false, + "reason": "Docker image definitions vs Claude workflow token permissions are unrelated infrastructure fixes." + }, + { + "left": "pull_request:12960", + "right": "pull_request:13364", + "accept": false, + "reason": "Different bugs in different training/model code paths: fsdp detection vs blur-kernel dtype casting." + }, + { + "left": "pull_request:1582", + "right": "pull_request:676", + "accept": false, + "reason": "RePaint scheduler behavior/test changes are unrelated to a ResNet variable rename." + }, + { + "left": "pull_request:1583", + "right": "pull_request:676", + "accept": false, + "reason": "Legacy inpaint scheduler behavior fix is unrelated to the ResNet rename PR." + }, + { + "left": "pull_request:1913", + "right": "pull_request:823", + "accept": false, + "reason": "Both are input-validation-ish, but they address different validation bugs in different pipelines." + }, + { + "left": "pull_request:1942", + "right": "pull_request:2001", + "accept": false, + "reason": "Convert-script flag handling and a ColossalAI seed typo are unrelated." + }, + { + "left": "pull_request:2655", + "right": "pull_request:3294", + "accept": false, + "reason": "Both involve LoRA loading, but one corrects load/save behavior while the other adds a prefix-based loading implementation; not the same fix." + }, + { + "left": "pull_request:3034", + "right": "pull_request:3446", + "accept": false, + "reason": "Accelerate parameter-name fix vs docstring wording fix are unrelated." + }, + { + "left": "pull_request:3128", + "right": "pull_request:3673", + "accept": false, + "reason": "Img2img timestep selection bug vs DreamBooth multi-GPU fix are different changes." + }, + { + "left": "pull_request:3590", + "right": "pull_request:5807", + "accept": false, + "reason": "Community pipeline/docs addition vs lpw_stable_diffusion_xl prompt embedding duplication support are unrelated." + }, + { + "left": "pull_request:3681", + "right": "pull_request:4690", + "accept": false, + "reason": "Checkpoint-limit handling vs DPMSolver scheduler refactor are unrelated code paths." + }, + { + "left": "pull_request:4262", + "right": "pull_request:4706", + "accept": false, + "reason": "Both mention LoRA, but one is an SDXL DreamBooth training bundle and the other is a narrow alpha defaulting fix in loader internals." + }, + { + "left": "pull_request:4744", + "right": "pull_request:5393", + "accept": false, + "reason": "AudioLDM docstring update vs HFApi training docs/example update are unrelated." + }, + { + "left": "pull_request:4793", + "right": "pull_request:6994", + "accept": false, + "reason": "AutoPipeline config-kwargs handling and single-file torch_dtype plumbing are different issues." + }, + { + "left": "pull_request:5697", + "right": "pull_request:7461", + "accept": false, + "reason": "PEFT/xformers LoRA bugfix vs a testing utility boolean parser are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 192, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10122", + "pull_request:10126", + "pull_request:10140", + "pull_request:10188", + "pull_request:10326", + "pull_request:10358", + "pull_request:10431", + "pull_request:10595", + "pull_request:10723", + "pull_request:11916", + "pull_request:11967", + "pull_request:12109", + "pull_request:12226", + "pull_request:12301", + "pull_request:12490", + "pull_request:12534", + "pull_request:12549", + "pull_request:12736", + "pull_request:12919", + "pull_request:13321", + "pull_request:13490", + "pull_request:2193", + "pull_request:2452", + "pull_request:2902", + "pull_request:3587", + "pull_request:3770", + "pull_request:4499", + "pull_request:4500", + "pull_request:4501", + "pull_request:4502", + "pull_request:5033", + "pull_request:5301", + "pull_request:5559", + "pull_request:5898", + "pull_request:6217", + "pull_request:7062", + "pull_request:7410", + "pull_request:7461", + "pull_request:7714", + "pull_request:7720", + "pull_request:8691", + "pull_request:8897", + "pull_request:9247", + "pull_request:9257", + "pull_request:9311", + "pull_request:9592", + "pull_request:9723" + ], + "soft_pairs": [ + "pull_request:5898|pull_request:7714", + "pull_request:7062|pull_request:7461", + "pull_request:7410|pull_request:7720", + "pull_request:9247|pull_request:9723", + "pull_request:12534|pull_request:13490", + "pull_request:11916|pull_request:11967", + "pull_request:12549|pull_request:12919", + "pull_request:10723|pull_request:9311", + "pull_request:12226|pull_request:12736", + "pull_request:12490|pull_request:13321", + "pull_request:2193|pull_request:2452", + "pull_request:3587|pull_request:5559", + "pull_request:3770|pull_request:4499", + "pull_request:3770|pull_request:4500", + "pull_request:3770|pull_request:4501", + "pull_request:3770|pull_request:4502", + "pull_request:5301|pull_request:6217", + "pull_request:10140|pull_request:8897", + "pull_request:12109|pull_request:12301", + "pull_request:2902|pull_request:5033", + "pull_request:10122|pull_request:10188", + "pull_request:10126|pull_request:9257", + "pull_request:10326|pull_request:8691", + "pull_request:10358|pull_request:9592", + "pull_request:10431|pull_request:10595" + ], + "prepared_review_unit_hash": "c20d0546b7d240cada6991664afc3e872b4905b4b83d12bb9a1c821345a3033e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 99603, + "estimated_input_tokens": 24901, + "estimated_eval_tokens": 50058 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly false-positive similarity: the PRs span unrelated docs, pipelines, schedulers, attention backends, CI, and model-specific fixes. None of the suggested soft pairs looks like the same underlying bug or change, so no duplicate merge is warranted.", + "confidence": 0.96, + "canonical_issue_reason": "No canonical issue: the cluster contains only pull requests, not issues.", + "canonical_pr_reason": "No single PR is a good canonical representative because the items are not one duplicate change; they cover unrelated subsystems and different fixes/features.", + "best_issue_reason": "No issue is suitable as a global representative for this cluster.", + "best_pr_reason": "No PR is suitable as a global representative; the set is too heterogeneous and the soft links are only superficial title/subsystem similarity.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5898", + "right": "pull_request:7714", + "accept": false, + "reason": "Both are docs PRs, but they edit different documentation areas and address different content changes, not the same underlying bug or feature." + }, + { + "left": "pull_request:7062", + "right": "pull_request:7461", + "accept": false, + "reason": "Unrelated changes: one is a community pipeline docstring edit, the other is a testing utility fix." + }, + { + "left": "pull_request:7410", + "right": "pull_request:7720", + "accept": false, + "reason": "These touch different problems: FreeInit behavior in animation pipelines vs dead code/f-string cleanup in assorted scripts." + }, + { + "left": "pull_request:9247", + "right": "pull_request:9723", + "accept": false, + "reason": "Different code paths and goals: pipeline variant discovery vs a Matryoshka diffusion image-generation tweak." + }, + { + "left": "pull_request:12534", + "right": "pull_request:13490", + "accept": false, + "reason": "Both are NPU-related, but one fixes Flux rotary embeddings on Ascend and the other changes NPU attention-mask shape handling; distinct bugs." + }, + { + "left": "pull_request:11916", + "right": "pull_request:11967", + "accept": false, + "reason": "11916 is a broad Flux/Chroma refactor; 11967 only changes attention-backend warnings/runtime errors. Not the same concrete change." + }, + { + "left": "pull_request:12549", + "right": "pull_request:12919", + "accept": false, + "reason": "Different attention-backend additions for different hardware paths; they are not the same fix and would not merge into one PR." + }, + { + "left": "pull_request:10723", + "right": "pull_request:9311", + "accept": false, + "reason": "Both involve ControlNet, but one adds per-control-type scaling in Union while the other adds CFG cutoff callbacks for SDXL ControlNet." + }, + { + "left": "pull_request:12226", + "right": "pull_request:12736", + "accept": false, + "reason": "A new fast test for Qwen-Image ControlNet is unrelated to enabling regional compilation on the Z-Image transformer." + }, + { + "left": "pull_request:12490", + "right": "pull_request:13321", + "accept": false, + "reason": "One is a test fixture change for AudioLDM2; the other fixes an unguarded torchvision import in Cosmos." + }, + { + "left": "pull_request:2193", + "right": "pull_request:2452", + "accept": false, + "reason": "A pipeline feature addition and a docs-only core API page are not the same underlying change." + }, + { + "left": "pull_request:3587", + "right": "pull_request:5559", + "accept": false, + "reason": "Community README/example additions for different pipelines; unrelated changes." + }, + { + "left": "pull_request:3770", + "right": "pull_request:4499", + "accept": false, + "reason": "Guidance start/stop for ControlNet is unrelated to SDXL reference-attention community pipeline work." + }, + { + "left": "pull_request:3770", + "right": "pull_request:4500", + "accept": false, + "reason": "Same as above: different pipeline behavior and different feature area." + }, + { + "left": "pull_request:3770", + "right": "pull_request:4501", + "accept": false, + "reason": "Same as above: control guidance scheduling vs SDXL reference pipeline." + }, + { + "left": "pull_request:3770", + "right": "pull_request:4502", + "accept": false, + "reason": "Same as above: these are distinct pipeline features, not one duplicate fix." + }, + { + "left": "pull_request:5301", + "right": "pull_request:6217", + "accept": false, + "reason": "SDXL text-encoder optionality and Stable Video Diffusion VAE compile support are separate issues." + }, + { + "left": "pull_request:10140", + "right": "pull_request:8897", + "accept": false, + "reason": "Both are large feature PRs, but ConsisID and AnimateDiff SparseCtrl are unrelated models/pipelines." + }, + { + "left": "pull_request:12109", + "right": "pull_request:12301", + "accept": false, + "reason": "Scheduler custom-sigma support and Qwen-Image ControlNet inpainting are unrelated changes." + }, + { + "left": "pull_request:2902", + "right": "pull_request:5033", + "accept": false, + "reason": "Both touch image pipelines, but one adds cross_attention_kwargs plumbing while the other fixes inpaint latent handling; not the same bug." + }, + { + "left": "pull_request:10122", + "right": "pull_request:10188", + "accept": false, + "reason": "Flux attention-mask forwarding and Flux LoRA-loading expansion are different code-path problems." + }, + { + "left": "pull_request:10126", + "right": "pull_request:9257", + "accept": false, + "reason": "A LoRA deprecation change and a Dreambooth Flux script fix are unrelated." + }, + { + "left": "pull_request:10326", + "right": "pull_request:8691", + "accept": false, + "reason": "CI workflow quoting and LoRA loading logic are completely different changes." + }, + { + "left": "pull_request:10358", + "right": "pull_request:9592", + "accept": false, + "reason": "Both are docs-related, but they update different documentation topics with no shared bug or feature." + }, + { + "left": "pull_request:10431", + "right": "pull_request:10595", + "accept": false, + "reason": "Both mention attention-like behavior, but Sana positional embedding and quadratic-attention bf16 casting are different model-specific fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 193, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10539", + "pull_request:10704", + "pull_request:11025", + "pull_request:11059", + "pull_request:11066", + "pull_request:11067", + "pull_request:11236", + "pull_request:11325", + "pull_request:11614", + "pull_request:11743", + "pull_request:11767", + "pull_request:11770", + "pull_request:11786", + "pull_request:11814", + "pull_request:11892", + "pull_request:11894", + "pull_request:12005", + "pull_request:12137", + "pull_request:1215", + "pull_request:12231", + "pull_request:1230", + "pull_request:12363", + "pull_request:12425", + "pull_request:12527", + "pull_request:12530", + "pull_request:12586", + "pull_request:12805", + "pull_request:12998", + "pull_request:1311", + "pull_request:13134", + "pull_request:13472", + "pull_request:1360", + "pull_request:1425", + "pull_request:1625", + "pull_request:171", + "pull_request:1780", + "pull_request:1849", + "pull_request:1968", + "pull_request:1978", + "pull_request:227", + "pull_request:2386", + "pull_request:2640", + "pull_request:2715", + "pull_request:796", + "pull_request:8932", + "pull_request:9103", + "pull_request:9688", + "pull_request:9769" + ], + "soft_pairs": [ + "pull_request:10539|pull_request:8932", + "pull_request:10704|pull_request:9103", + "pull_request:11025|pull_request:11066", + "pull_request:11059|pull_request:9769", + "pull_request:11067|pull_request:11614", + "pull_request:11236|pull_request:9688", + "pull_request:11325|pull_request:11770", + "pull_request:11743|pull_request:11814", + "pull_request:11767|pull_request:12005", + "pull_request:11786|pull_request:11894", + "pull_request:11892|pull_request:12805", + "pull_request:12137|pull_request:12998", + "pull_request:1215|pull_request:1968", + "pull_request:12231|pull_request:12527", + "pull_request:1230|pull_request:796", + "pull_request:12363|pull_request:12530", + "pull_request:12425|pull_request:13134", + "pull_request:12586|pull_request:13472", + "pull_request:1311|pull_request:227", + "pull_request:1360|pull_request:1978", + "pull_request:1425|pull_request:2386", + "pull_request:1625|pull_request:2640", + "pull_request:171|pull_request:1849", + "pull_request:1780|pull_request:2715" + ], + "prepared_review_unit_hash": "350fe8614020bb454791f03aeb7d1c89332d4429fe311faddf50b60f7176aaf6", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 97581, + "estimated_input_tokens": 24396, + "estimated_eval_tokens": 49048 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft-similarity pairs are mostly superficial matches on keywords or broad subsystems (Flux, docs, CI, tests), but they do not describe the same underlying bug or change. No duplicate pair is convincing here.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:10539", + "right": "pull_request:8932", + "accept": false, + "reason": "Flux CFG logic fix vs. Temporal Transformer test coverage; unrelated changes." + }, + { + "left": "pull_request:10704", + "right": "pull_request:9103", + "accept": false, + "reason": "Documentation edit for img2img vs. distributed LR scheduler fix; different code paths and goals." + }, + { + "left": "pull_request:11025", + "right": "pull_request:11066", + "accept": false, + "reason": "Wan LoRA conversion support vs. new HunyuanVideo I2V model support; separate features." + }, + { + "left": "pull_request:11059", + "right": "pull_request:9769", + "accept": false, + "reason": "Wan LoRA conversion tweak vs. Mochi model/pipeline addition; not the same change." + }, + { + "left": "pull_request:11067", + "right": "pull_request:11614", + "accept": false, + "reason": "Benchmark transformers pinning vs. docker CI security/workflow fix; unrelated CI changes." + }, + { + "left": "pull_request:11236", + "right": "pull_request:9688", + "accept": false, + "reason": "Two different documentation updates for different pipelines; no shared underlying bug or feature." + }, + { + "left": "pull_request:11325", + "right": "pull_request:11770", + "accept": false, + "reason": "HiDream docstring decorator fix vs. LoRA docs cleanup; both docs-oriented but not the same issue." + }, + { + "left": "pull_request:11743", + "right": "pull_request:11814", + "accept": false, + "reason": "Research training script addition vs. Flux gradient-checkpointing bug fix; unrelated." + }, + { + "left": "pull_request:11767", + "right": "pull_request:12005", + "accept": false, + "reason": "Shared modeling tests file, but one fixes group-offloading disk addressing and the other sharded checkpoint local-only behavior." + }, + { + "left": "pull_request:11786", + "right": "pull_request:11894", + "accept": false, + "reason": "Big-GPU test marker correction vs. k-diffusion dependency pin; different subsystems." + }, + { + "left": "pull_request:11892", + "right": "pull_request:12805", + "accept": false, + "reason": "Removing k-diffusion from core deps vs. PyPI publish workflow edits; not the same change." + }, + { + "left": "pull_request:12137", + "right": "pull_request:12998", + "accept": false, + "reason": "Parallel-loading constant refactor vs. broad style/docstring cleanup; unrelated." + }, + { + "left": "pull_request:1215", + "right": "pull_request:1968", + "accept": false, + "reason": "DDIM eta/cpu-generator bug fix vs. CPU offload doc corrections; different artifact types and issues." + }, + { + "left": "pull_request:12231", + "right": "pull_request:12527", + "accept": false, + "reason": "Typo fix in example docs vs. Kandinsky5 CFG bug fix; no overlap beyond generic cleanup." + }, + { + "left": "pull_request:1230", + "right": "pull_request:796", + "accept": false, + "reason": "MPS fast-test fix vs. adding Apple M1 tests; related platform, but not the same concrete bug/change." + }, + { + "left": "pull_request:12363", + "right": "pull_request:12530", + "accept": false, + "reason": "QwenImageEdit Plus docs/test addition vs. Stable Cascade test xfail; unrelated." + }, + { + "left": "pull_request:12425", + "right": "pull_request:13134", + "accept": false, + "reason": "torch.distributed import guard vs. Cosmos transformer typing fix; different code areas." + }, + { + "left": "pull_request:12586", + "right": "pull_request:13472", + "accept": false, + "reason": "Documentation ordering change vs. agents docs float64 guidance; unrelated docs changes." + }, + { + "left": "pull_request:1311", + "right": "pull_request:227", + "accept": false, + "reason": "AltDiffusion test additions vs. scheduler add_noise implementation; unrelated." + }, + { + "left": "pull_request:1360", + "right": "pull_request:1978", + "accept": false, + "reason": "k-diffusion community pipeline docs/code vs. push_to_hub implementation work; different features." + }, + { + "left": "pull_request:1425", + "right": "pull_request:2386", + "accept": false, + "reason": "Simple docs typo fixes vs. UniPC docs rewrite; not the same underlying issue." + }, + { + "left": "pull_request:1625", + "right": "pull_request:2640", + "accept": false, + "reason": "k-diffusion pipeline sizing fix vs. telemetry removal in pipeline loading; unrelated." + }, + { + "left": "pull_request:171", + "right": "pull_request:1849", + "accept": false, + "reason": "LDM eta-condition fix vs. cross_attention_kwargs support in a different attention module; not duplicates." + }, + { + "left": "pull_request:1780", + "right": "pull_request:2715", + "accept": false, + "reason": "Upscale preprocessing comment fix vs. broad typo cleanup; superficial text similarity only." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 194, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1850", + "pull_request:2122", + "pull_request:2126", + "pull_request:2365", + "pull_request:2529", + "pull_request:2530", + "pull_request:2553", + "pull_request:2598", + "pull_request:2604", + "pull_request:2693", + "pull_request:2757", + "pull_request:2861", + "pull_request:2968", + "pull_request:3127", + "pull_request:327", + "pull_request:3473", + "pull_request:3572", + "pull_request:3607", + "pull_request:3642", + "pull_request:3644", + "pull_request:3797", + "pull_request:386", + "pull_request:3942", + "pull_request:3957", + "pull_request:3989", + "pull_request:3995", + "pull_request:400", + "pull_request:401", + "pull_request:402", + "pull_request:4058", + "pull_request:4106", + "pull_request:4203", + "pull_request:4285", + "pull_request:4442", + "pull_request:5036", + "pull_request:5098", + "pull_request:5276", + "pull_request:5369", + "pull_request:5396", + "pull_request:5526", + "pull_request:5699", + "pull_request:5724", + "pull_request:5738", + "pull_request:5844", + "pull_request:628", + "pull_request:796", + "pull_request:819" + ], + "soft_pairs": [ + "pull_request:1850|pull_request:2861", + "pull_request:2122|pull_request:402", + "pull_request:2126|pull_request:2693", + "pull_request:2365|pull_request:327", + "pull_request:2529|pull_request:2757", + "pull_request:2530|pull_request:796", + "pull_request:2553|pull_request:3642", + "pull_request:2598|pull_request:628", + "pull_request:2604|pull_request:628", + "pull_request:2968|pull_request:819", + "pull_request:3127|pull_request:5396", + "pull_request:3473|pull_request:4442", + "pull_request:3572|pull_request:5036", + "pull_request:3607|pull_request:5526", + "pull_request:3644|pull_request:5844", + "pull_request:3797|pull_request:3957", + "pull_request:386|pull_request:401", + "pull_request:3942|pull_request:5098", + "pull_request:3942|pull_request:5276", + "pull_request:3942|pull_request:5724", + "pull_request:3989|pull_request:5699", + "pull_request:3995|pull_request:4058", + "pull_request:3995|pull_request:4285", + "pull_request:400|pull_request:401", + "pull_request:4106|pull_request:5738", + "pull_request:4203|pull_request:5369" + ], + "prepared_review_unit_hash": "b6d2e0fb0a29c9420f49ecfb1b0f9d99754908a0d4af32894eb6836314e300c4", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 98789, + "estimated_input_tokens": 24698, + "estimated_eval_tokens": 49652 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Almost all soft-similarity pairs are false positives across unrelated docs/tests/maintenance changes. The only plausible mergeable duplicate is the attention-naming pair `3797`/`3957`, which both appear to address the same core model attention-head naming correction.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 3797 is the strongest representative PR: it is merged and makes a broad attention-head naming correction across core model files. It should not be described as explicitly issue-linked, because the packet shows `explicit_issue_links: 0`.", + "best_issue_reason": null, + "best_pr_reason": "PR 3797 is the best standalone PR in this set because it is a concrete core-model bug fix affecting many attention-related files, whereas the other PRs are mostly docs/tests or narrower maintenance changes. Its standalone strength does not rely on any explicit issue link.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1850", + "right": "pull_request:2861", + "accept": false, + "reason": "Different test additions for different features: ResnetBlock2D coverage vs StableUnCLIP `image_embeds=None` handling." + }, + { + "left": "pull_request:2122", + "right": "pull_request:402", + "accept": false, + "reason": "Both are docs-related, but they cover unrelated topics: safetensors usage vs a broad docs intro/toctree overhaul." + }, + { + "left": "pull_request:2126", + "right": "pull_request:2693", + "accept": false, + "reason": "Unrelated doc fixes: duplicate `torch_dtype` docstring cleanup vs an inpaint image-link correction." + }, + { + "left": "pull_request:2365", + "right": "pull_request:327", + "accept": false, + "reason": "A scheduler enum note is not the same change as adding type hints to the PNDM pipeline." + }, + { + "left": "pull_request:2529", + "right": "pull_request:2757", + "accept": false, + "reason": "Different code paths: OpenCLIP checkpoint conversion fallback vs depth-map batching in depth2img." + }, + { + "left": "pull_request:2530", + "right": "pull_request:796", + "accept": false, + "reason": "Both add tests, but they target different features and failure modes; not the same bug fix." + }, + { + "left": "pull_request:2553", + "right": "pull_request:3642", + "accept": false, + "reason": "CFG flag handling in Flax Stable Diffusion is unrelated to adding TensorRT inpainting pipeline support." + }, + { + "left": "pull_request:2598", + "right": "pull_request:628", + "accept": false, + "reason": "Separate documentation edits for different pages/features; no shared underlying change." + }, + { + "left": "pull_request:2604", + "right": "pull_request:628", + "accept": false, + "reason": "A colab-link fix in the index is unrelated to the DDPM colab placement change." + }, + { + "left": "pull_request:2968", + "right": "pull_request:819", + "accept": false, + "reason": "Different bugs in different code paths: img2img post-processing vs DDIM timestep dtype on Windows." + }, + { + "left": "pull_request:3127", + "right": "pull_request:5396", + "accept": false, + "reason": "Safety checker tensor handling is unrelated to the stale bot timezone datetime fix." + }, + { + "left": "pull_request:3473", + "right": "pull_request:4442", + "accept": false, + "reason": "Both add docs, but for different model features and tutorial pages; not one underlying change." + }, + { + "left": "pull_request:3572", + "right": "pull_request:5036", + "accept": false, + "reason": "ControlNet inpaint docs and import/dummy-object plumbing are unrelated maintenance changes." + }, + { + "left": "pull_request:3607", + "right": "pull_request:5526", + "accept": false, + "reason": "Core attention processor changes are unrelated to the second-order scheduler logic fix." + }, + { + "left": "pull_request:3644", + "right": "pull_request:5844", + "accept": false, + "reason": "Both are docs updates, but they document different examples and features." + }, + { + "left": "pull_request:3797", + "right": "pull_request:3957", + "accept": true, + "reason": "Both concern the same attention-head naming/correction work in the same UNet model code paths, and `3957` looks like a plausible follow-up piece of the same fix." + }, + { + "left": "pull_request:386", + "right": "pull_request:401", + "accept": false, + "reason": "Different pipeline docs and code: Stable Diffusion pipeline overview vs Karras VE docs." + }, + { + "left": "pull_request:3942", + "right": "pull_request:5098", + "accept": false, + "reason": "A test harness fix for np outputs is unrelated to Kandinsky precision test coverage." + }, + { + "left": "pull_request:3942", + "right": "pull_request:5276", + "accept": false, + "reason": "Test-output handling and scheduler 1D support are unrelated changes." + }, + { + "left": "pull_request:3942", + "right": "pull_request:5724", + "accept": false, + "reason": "A common test helper change does not match a LoRA backend test/decorator change." + }, + { + "left": "pull_request:3989", + "right": "pull_request:5699", + "accept": false, + "reason": "Slow-test fixes in SDXL do not share the same underlying change as a styling-only stable unclip/text-unet cleanup." + }, + { + "left": "pull_request:3995", + "right": "pull_request:4058", + "accept": false, + "reason": "SDXL prompt-embedding plumbing is unrelated to a docs image/table update." + }, + { + "left": "pull_request:3995", + "right": "pull_request:4285", + "accept": false, + "reason": "Core SDXL pipeline changes are unrelated to ONNX/OpenVINO documentation work." + }, + { + "left": "pull_request:400", + "right": "pull_request:401", + "accept": false, + "reason": "They are different docs pages for different pipelines; no shared concrete change." + }, + { + "left": "pull_request:4106", + "right": "pull_request:5738", + "accept": false, + "reason": "A new Tortoise TTS pipeline and LoRA adapter deletion are entirely separate features." + }, + { + "left": "pull_request:4203", + "right": "pull_request:5369", + "accept": false, + "reason": "DreamBooth README typo cleanup and general docs minor fixes are separate doc edits, not one fix." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The evaluation is mostly conservative, but it overstates the evidence for PR 3797. In the packet, PR 3797 is merged and clearly about the attention naming fix, but it does **not** have an explicit issue link (`explicit_issue_links: 0`), so calling it \u201cexplicitly issue-linked\u201d and citing \u201cclearest issue context\u201d is unsupported. The borderline 3797\u21943957 pair is plausibly the same attention-name correction, but the standalone PR reasoning needs to stay grounded in the packet." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 195, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:4211", + "pull_request:4347", + "pull_request:4397", + "pull_request:4499", + "pull_request:4500", + "pull_request:4811", + "pull_request:4856", + "pull_request:5097", + "pull_request:5164", + "pull_request:5275", + "pull_request:5369", + "pull_request:5384", + "pull_request:5391", + "pull_request:5420", + "pull_request:5526", + "pull_request:5602", + "pull_request:5653", + "pull_request:5698", + "pull_request:5741", + "pull_request:5831", + "pull_request:5982", + "pull_request:6179", + "pull_request:6198", + "pull_request:6221", + "pull_request:6305", + "pull_request:6308", + "pull_request:6360", + "pull_request:6365", + "pull_request:6369", + "pull_request:6498", + "pull_request:6564", + "pull_request:6997", + "pull_request:6998", + "pull_request:7247", + "pull_request:7260", + "pull_request:7328", + "pull_request:7353", + "pull_request:7371", + "pull_request:7473", + "pull_request:7679", + "pull_request:7857", + "pull_request:8298", + "pull_request:8404", + "pull_request:8452", + "pull_request:9242", + "pull_request:9247", + "pull_request:9426", + "pull_request:9718" + ], + "soft_pairs": [ + "pull_request:4211|pull_request:6198", + "pull_request:4347|pull_request:5275", + "pull_request:4397|pull_request:5391", + "pull_request:4499|pull_request:5384", + "pull_request:4500|pull_request:5384", + "pull_request:4811|pull_request:6360", + "pull_request:4856|pull_request:6365", + "pull_request:5097|pull_request:6221", + "pull_request:5164|pull_request:7328", + "pull_request:5369|pull_request:5831", + "pull_request:5420|pull_request:5741", + "pull_request:5526|pull_request:6179", + "pull_request:5602|pull_request:5982", + "pull_request:5653|pull_request:7371", + "pull_request:5698|pull_request:7473", + "pull_request:5741|pull_request:7679", + "pull_request:6305|pull_request:6997", + "pull_request:6308|pull_request:6369", + "pull_request:6498|pull_request:7857", + "pull_request:6564|pull_request:8404", + "pull_request:6998|pull_request:7260", + "pull_request:7247|pull_request:9247", + "pull_request:7353|pull_request:9426", + "pull_request:7857|pull_request:9242", + "pull_request:7857|pull_request:9718", + "pull_request:8298|pull_request:8452" + ], + "prepared_review_unit_hash": "c7e8ffd1e72e9c6b8d6eb6da8b79265e7e6bb5b0850c5d3e32ad2cd6894cb5a8", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 100205, + "estimated_input_tokens": 25052, + "estimated_eval_tokens": 50360 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a bundle of unrelated PRs that only share fuzzy topical similarity. The soft-linked items span docs, tests, schedulers, loaders, and feature additions in different code paths, so none looks like a true duplicate pair.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR in this set is a safe canonical: the soft-linked items do not share one underlying bug or change.", + "best_issue_reason": null, + "best_pr_reason": "No globally best PR: the set is too heterogeneous to represent with one canonical change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4211", + "right": "pull_request:6198", + "accept": false, + "reason": "4211 only fixes SDXL inpainting docstrings; 6198 adds a benchmark reporting method in benchmarks/base_classes.py. Different purpose and code path." + }, + { + "left": "pull_request:4347", + "right": "pull_request:5275", + "accept": false, + "reason": "4347 adds a step_index counter in schedulers/pix2pix-zero logic; 5275 adds an SDXL Flax research example. No shared bug/change." + }, + { + "left": "pull_request:4397", + "right": "pull_request:5391", + "accept": false, + "reason": "4397 is a small SDXL docstring default fix; 5391 is a broad typehints/docs cleanup across models. Same docs theme, but not the same change." + }, + { + "left": "pull_request:4499", + "right": "pull_request:5384", + "accept": false, + "reason": "4499 adds SDXL reference attention/adain support; 5384 is about basic hypernetwork loading support. Different feature areas and code paths." + }, + { + "left": "pull_request:4500", + "right": "pull_request:5384", + "accept": false, + "reason": "4500 is effectively the same SDXL reference-attn docs/feature work as 4499; 5384 is hypernetwork loading. Not the same underlying change." + }, + { + "left": "pull_request:4811", + "right": "pull_request:6360", + "accept": false, + "reason": "4811 adds StableDiffusionXLControlNetInpaintPipeline; 6360 adds padding_mask_crop to inpaint pipelines. Separate pipeline feature vs input validation enhancement." + }, + { + "left": "pull_request:4856", + "right": "pull_request:6365", + "accept": false, + "reason": "4856 only fixes a docs link in SDXL API docs; 6365 is an MPS-specific scheduler fix. No duplicate code path." + }, + { + "left": "pull_request:5097", + "right": "pull_request:6221", + "accept": false, + "reason": "5097 adds float16 test coverage for pipelines; 6221 tweaks slow-test pipeline cleanup/offload behavior. Test infra changes, but not the same issue." + }, + { + "left": "pull_request:5164", + "right": "pull_request:7328", + "accept": false, + "reason": "5164 implements the FreeU mechanism in UNet/pipeline code; 7328 only adds torch to a PyPI workflow step. Completely unrelated." + }, + { + "left": "pull_request:5369", + "right": "pull_request:5831", + "accept": false, + "reason": "Both touch docs, but 5369 fixes minor code samples in img2img/inpaint while 5831 only adjusts a toctree title. Not one underlying doc fix." + }, + { + "left": "pull_request:5420", + "right": "pull_request:5741", + "accept": false, + "reason": "5420 is a training-doc follow-up; 5741 speeds up PEFT LoRA unloading in runtime code. Different subsystem and objective." + }, + { + "left": "pull_request:5526", + "right": "pull_request:6179", + "accept": false, + "reason": "5526 fixes second-order scheduler timestep handling; 6179 enables fused attention projections in SD/SDXL pipelines. Same files overlap, but the changes address different problems." + }, + { + "left": "pull_request:5602", + "right": "pull_request:5982", + "accept": false, + "reason": "5602 is a small docs link/format cleanup; 5982 adds SDXL Turbo docs and API pages. Broad topic overlap only." + }, + { + "left": "pull_request:5653", + "right": "pull_request:7371", + "accept": false, + "reason": "5653 adds PEFT-aware maybe_raise_or_warn handling; 7371 adds DoRA LoRA support. Related area, but different functionality." + }, + { + "left": "pull_request:5698", + "right": "pull_request:7473", + "accept": false, + "reason": "5698 fixes LCM img2img behavior; 7473 fixes missing raise statements in check_inputs. Different bugs, different code paths." + }, + { + "left": "pull_request:5741", + "right": "pull_request:7679", + "accept": false, + "reason": "5741 optimizes LoRA unload logic; 7679 changes CI to avoid installing peft via uv. No shared code change." + }, + { + "left": "pull_request:6305", + "right": "pull_request:6997", + "accept": false, + "reason": "6305 adds zero-terminal-SNR support to DDPMScheduler; 6997 adds LoRA support for UNetSpatioTemporalConditionModel. Distinct features." + }, + { + "left": "pull_request:6308", + "right": "pull_request:6369", + "accept": false, + "reason": "6308 fixes LoRA PEFT dummy-component tests; 6369 removes deprecated LoRA test/backend usage. Both LoRA-related, but not the same fix." + }, + { + "left": "pull_request:6498", + "right": "pull_request:7857", + "accept": false, + "reason": "6498 documents mask_blur/padding_mask_crop; 7857 adds PixArtSigma docs and model support. Same docs area only at a very broad level." + }, + { + "left": "pull_request:6564", + "right": "pull_request:8404", + "accept": false, + "reason": "6564 fixes IP-Adapter path generation; 8404 adds the Latte video model and pipeline. Entirely different scope." + }, + { + "left": "pull_request:6998", + "right": "pull_request:7260", + "accept": false, + "reason": "6998 only changes an IP-Adapter doc callout; 7260 adds IP-Adapter support to the SAG pipeline. Docs vs runtime feature." + }, + { + "left": "pull_request:7247", + "right": "pull_request:9247", + "accept": false, + "reason": "7247 changes single-file config tuple/list handling; 9247 fixes model-variant folder detection. Both loader-related, but different bugs." + }, + { + "left": "pull_request:7353", + "right": "pull_request:9426", + "accept": false, + "reason": "7353 adds FromSingleFileMixin to SDXL ControlNet img2img; 9426 updates GitHub artifact uploader versions in workflows. Unrelated." + }, + { + "left": "pull_request:7857", + "right": "pull_request:9242", + "accept": false, + "reason": "7857 adds PixArtSigma docs/model support; 9242 adds XPU support to testing utilities. Different areas and goals." + }, + { + "left": "pull_request:7857", + "right": "pull_request:9718", + "accept": false, + "reason": "7857 is PixArtSigma documentation/model work; 9718 adds prompt scheduling callback support to community scripts. Not the same change." + }, + { + "left": "pull_request:8298", + "right": "pull_request:8452", + "accept": false, + "reason": "8298 simplifies env CLI platform info; 8452 fixes single-file loading errors via strict=False. No shared underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 196, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10148", + "pull_request:10351", + "pull_request:10360", + "pull_request:10567", + "pull_request:10622", + "pull_request:10630", + "pull_request:10985", + "pull_request:11130", + "pull_request:11290", + "pull_request:11582", + "pull_request:11738", + "pull_request:11979", + "pull_request:11997", + "pull_request:12275", + "pull_request:12383", + "pull_request:13063", + "pull_request:13216", + "pull_request:1327", + "pull_request:1513", + "pull_request:3252", + "pull_request:399", + "pull_request:4744", + "pull_request:5057", + "pull_request:5073", + "pull_request:5470", + "pull_request:6447", + "pull_request:6789", + "pull_request:6816", + "pull_request:6929", + "pull_request:7058", + "pull_request:7213", + "pull_request:7990", + "pull_request:8496", + "pull_request:8616", + "pull_request:8685", + "pull_request:8777", + "pull_request:8964", + "pull_request:9060", + "pull_request:9159", + "pull_request:9242", + "pull_request:9256", + "pull_request:9649", + "pull_request:9696", + "pull_request:9709", + "pull_request:9718", + "pull_request:9862", + "pull_request:9968", + "pull_request:9988" + ], + "soft_pairs": [ + "pull_request:8496|pull_request:8964", + "pull_request:9060|pull_request:9256", + "pull_request:9242|pull_request:9649", + "pull_request:9649|pull_request:9718", + "pull_request:9696|pull_request:9968", + "pull_request:5057|pull_request:5073", + "pull_request:10567|pull_request:11130", + "pull_request:11738|pull_request:11979", + "pull_request:5470|pull_request:6789", + "pull_request:6447|pull_request:8616", + "pull_request:6816|pull_request:7058", + "pull_request:12275|pull_request:12383", + "pull_request:10351|pull_request:10630", + "pull_request:11290|pull_request:9709", + "pull_request:1327|pull_request:399", + "pull_request:1513|pull_request:3252", + "pull_request:4744|pull_request:6929", + "pull_request:6929|pull_request:8685", + "pull_request:7213|pull_request:7990", + "pull_request:11582|pull_request:11997", + "pull_request:9159|pull_request:9988", + "pull_request:13063|pull_request:13216", + "pull_request:10985|pull_request:9862", + "pull_request:10148|pull_request:8777", + "pull_request:10360|pull_request:10622" + ], + "prepared_review_unit_hash": "0d9d290ebf2ae127b19fda6ec8468c0d4772611fa8a0cf47cffabdcb5ade77c2", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 102955, + "estimated_input_tokens": 25739, + "estimated_eval_tokens": 51734 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated Diffusers PRs spanning different pipelines, docs, CI, tests, and utilities. I do not see any true duplicate PR pairs; the soft matches are mostly superficial topic overlap or shared subsystems, not the same concrete bug/change.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "No PR is a clear duplicate anchor because the cluster does not center on one underlying change; the items are heterogeneous and the soft edges are not strong enough to merge them.", + "best_issue_reason": null, + "best_pr_reason": "PR 11130 is the strongest representative only because it is a substantial, well-scoped merged change with broad impact and review activity. It is not a duplicate canonical in the strict sense, just the best single representative among unrelated PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8496", + "right": "pull_request:8964", + "accept": false, + "reason": "Different fixes in different code paths: SD3 warning-log behavior vs AudioLDM2 cache-position handling." + }, + { + "left": "pull_request:9060", + "right": "pull_request:9256", + "accept": false, + "reason": "Unrelated changes: removing a debug print in Flux vs fixing an image type check in Kandinsky2.2." + }, + { + "left": "pull_request:9242", + "right": "pull_request:9649", + "accept": false, + "reason": "Different concerns: xpu test backend support vs adding pred_original_sample to scheduler tuple returns." + }, + { + "left": "pull_request:9649", + "right": "pull_request:9718", + "accept": false, + "reason": "One is scheduler return behavior; the other is a docs update for a community-script callback. Not the same change." + }, + { + "left": "pull_request:9696", + "right": "pull_request:9968", + "accept": false, + "reason": "CI workflow input validation vs ControlNet module refactor; no shared underlying bug." + }, + { + "left": "pull_request:5057", + "right": "pull_request:5073", + "accept": false, + "reason": "Both touch SDXL, but one adds clip skip support and the other fixes multi-batch prompt embeds. Different concrete problems." + }, + { + "left": "pull_request:10567", + "right": "pull_request:11130", + "accept": false, + "reason": "HunyuanVideo true-CFG feature work vs pipeline-level quantization config. Different subsystems and goals." + }, + { + "left": "pull_request:11738", + "right": "pull_request:11979", + "accept": false, + "reason": "Test determinism for bnb quantization vs torch-version gating for compile tests. Not the same bug or change." + }, + { + "left": "pull_request:5470", + "right": "pull_request:6789", + "accept": false, + "reason": "ControlNet inpaint doc/fix work and PixArt 256px inference conversion are unrelated." + }, + { + "left": "pull_request:6447", + "right": "pull_request:8616", + "accept": false, + "reason": "K-Diffusion pipeline addition vs LoRA fusion support in SD3. Different features and code paths." + }, + { + "left": "pull_request:6816", + "right": "pull_request:7058", + "accept": false, + "reason": "SDXL LoRA training/DDP fix vs copying LoRA state dicts before mutation. Related area, but not the same concrete bug." + }, + { + "left": "pull_request:12275", + "right": "pull_request:12383", + "accept": false, + "reason": "TorchAO config support vs modular single-file support. Different feature work." + }, + { + "left": "pull_request:10351", + "right": "pull_request:10630", + "accept": false, + "reason": "LoRA test adjustment vs flax test slice update. Both are test-only changes, but not duplicates." + }, + { + "left": "pull_request:11290", + "right": "pull_request:9709", + "accept": false, + "reason": "One unpins torch in an ONNX Dockerfile, the other caps torch for CI. Opposite policy in different contexts." + }, + { + "left": "pull_request:1327", + "right": "pull_request:399", + "accept": false, + "reason": "Custom local pipeline loading vs ONNX Stable Diffusion exporter/pipeline. No shared underlying change." + }, + { + "left": "pull_request:1513", + "right": "pull_request:3252", + "accept": false, + "reason": "Accelerate config docs vs stateful offload notes. Different documentation topics." + }, + { + "left": "pull_request:4744", + "right": "pull_request:6929", + "accept": false, + "reason": "AudioLDM docstring fix vs community pipeline docs. Both docs, but not the same issue." + }, + { + "left": "pull_request:6929", + "right": "pull_request:8685", + "accept": false, + "reason": "Community pipeline loading docs vs SD3 float8 note. Different documentation updates." + }, + { + "left": "pull_request:7213", + "right": "pull_request:7990", + "accept": false, + "reason": "Merge-LoRAs docs vs scheduler-features docs. Same broad docs area, but unrelated content." + }, + { + "left": "pull_request:11582", + "right": "pull_request:11997", + "accept": false, + "reason": "Both are Wan-related, but one adds Wan VACE support and the other refactors Wan modular I2V/FLF2V support. Not mergeable as one duplicate PR." + }, + { + "left": "pull_request:9159", + "right": "pull_request:9988", + "accept": false, + "reason": "Flux sharding support vs Flux Redux conversion/pipeline work. Different code paths and goals." + }, + { + "left": "pull_request:13063", + "right": "pull_request:13216", + "accept": false, + "reason": "Different modular pipeline families: Wan refactor vs Helios addition." + }, + { + "left": "pull_request:10985", + "right": "pull_request:9862", + "accept": false, + "reason": "ComfyUI LoRA compatibility improvements vs saving LoRA adapters. Same area, but distinct functionality and bug scope." + }, + { + "left": "pull_request:10148", + "right": "pull_request:8777", + "accept": false, + "reason": "OmniGen feature addition vs dummy attention processor placeholders. Unrelated changes." + }, + { + "left": "pull_request:10360", + "right": "pull_request:10622", + "accept": false, + "reason": "Release TestPyPI install fix vs general uv installation docs. Different workflows and fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 197, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1038", + "pull_request:10838", + "pull_request:11254", + "pull_request:11894", + "pull_request:12005", + "pull_request:12425", + "pull_request:12438", + "pull_request:12586", + "pull_request:12714", + "pull_request:12863", + "pull_request:12911", + "pull_request:12914", + "pull_request:12960", + "pull_request:12973", + "pull_request:130", + "pull_request:1309", + "pull_request:13100", + "pull_request:13120", + "pull_request:13364", + "pull_request:1525", + "pull_request:1554", + "pull_request:1878", + "pull_request:1920", + "pull_request:2001", + "pull_request:2274", + "pull_request:2325", + "pull_request:2481", + "pull_request:2584", + "pull_request:2793", + "pull_request:2861", + "pull_request:3127", + "pull_request:3275", + "pull_request:3410", + "pull_request:3506", + "pull_request:3607", + "pull_request:3681", + "pull_request:3691", + "pull_request:4034", + "pull_request:4262", + "pull_request:4276", + "pull_request:4315", + "pull_request:4498", + "pull_request:4655", + "pull_request:5695", + "pull_request:5747", + "pull_request:630", + "pull_request:9838", + "pull_request:9875" + ], + "soft_pairs": [ + "pull_request:1038|pull_request:630", + "pull_request:10838|pull_request:9875", + "pull_request:11254|pull_request:9838", + "pull_request:11894|pull_request:12911", + "pull_request:12005|pull_request:12438", + "pull_request:12425|pull_request:12960", + "pull_request:12586|pull_request:13100", + "pull_request:12714|pull_request:13364", + "pull_request:12863|pull_request:12914", + "pull_request:12973|pull_request:13120", + "pull_request:130|pull_request:1309", + "pull_request:1525|pull_request:3410", + "pull_request:1554|pull_request:2793", + "pull_request:1878|pull_request:3506", + "pull_request:1920|pull_request:3275", + "pull_request:2001|pull_request:2274", + "pull_request:2001|pull_request:2481", + "pull_request:2001|pull_request:3410", + "pull_request:2325|pull_request:4498", + "pull_request:2584|pull_request:3127", + "pull_request:2584|pull_request:4276", + "pull_request:2861|pull_request:3681", + "pull_request:3607|pull_request:5695", + "pull_request:3691|pull_request:4655", + "pull_request:4034|pull_request:5747", + "pull_request:4262|pull_request:4315" + ], + "prepared_review_unit_hash": "531abdb7dfa7c3eeef820305ae57c4f06080ca5e05fb3e2b06482be1dde23e90", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 96708, + "estimated_input_tokens": 24177, + "estimated_eval_tokens": 48610 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is a set of unrelated PRs that only share superficial similarity (same subsystem, docs/tests, or model-support work). None of the soft edges look like the same underlying change or bug fix, so they should all stay separate.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:1038", + "right": "pull_request:630", + "accept": false, + "reason": "Flax SD dtype fix vs Flax mismatched-keys cleanup; different code paths and different problems." + }, + { + "left": "pull_request:10838", + "right": "pull_request:9875", + "accept": false, + "reason": "FlashVideo pipeline addition vs Meissonic support; both add model features, but they are distinct projects and changes." + }, + { + "left": "pull_request:11254", + "right": "pull_request:9838", + "accept": false, + "reason": "ConsisID import/dependency fix is unrelated to Flux training memory/loss handling." + }, + { + "left": "pull_request:11894", + "right": "pull_request:12911", + "accept": false, + "reason": "k-diffusion version pinning for CI is unrelated to adding discrete diffusion pipelines and docs." + }, + { + "left": "pull_request:12005", + "right": "pull_request:12438", + "accept": false, + "reason": "Both touch loading utilities, but one fixes sharded checkpoint local-only behavior and the other removes offload_state_dict for newer transformers; different bugs." + }, + { + "left": "pull_request:12425", + "right": "pull_request:12960", + "accept": false, + "reason": "torch.distributed import guard vs FSDP detection in training scripts; not the same code path." + }, + { + "left": "pull_request:12586", + "right": "pull_request:13100", + "accept": false, + "reason": "Doc ordering tweak vs modular pipeline documentation update; unrelated content." + }, + { + "left": "pull_request:12714", + "right": "pull_request:13364", + "accept": false, + "reason": "Flux2 LoRA test adjustment vs Wan animate blur-kernel dtype fix; different components and failure modes." + }, + { + "left": "pull_request:12863", + "right": "pull_request:12914", + "accept": false, + "reason": "Cosmos conversion support PR vs a typo fix in a pipeline example string; the latter does not fix the conversion change itself." + }, + { + "left": "pull_request:12973", + "right": "pull_request:13120", + "accept": false, + "reason": "GLM-Image model support vs modular AutoModel load-id tests; unrelated areas and purposes." + }, + { + "left": "pull_request:130", + "right": "pull_request:1309", + "accept": false, + "reason": "Examples README setup note vs broad PIL handling/docs fixes; no shared underlying bug." + }, + { + "left": "pull_request:1525", + "right": "pull_request:3410", + "accept": false, + "reason": "Upscaling batch-size fix vs deepspeed plugin retrieval bug; different training issues." + }, + { + "left": "pull_request:1554", + "right": "pull_request:2793", + "accept": false, + "reason": "Docs correction for UNet shapes vs removing cuDNN benchmark advice; unrelated docs changes." + }, + { + "left": "pull_request:1878", + "right": "pull_request:3506", + "accept": false, + "reason": "Checkpoint state_dict guard vs checkpoint resume global-step scaling; different checkpoint bugs." + }, + { + "left": "pull_request:1920", + "right": "pull_request:3275", + "accept": false, + "reason": "TRANSLATING docs addition vs adding upsample_size to blocks; completely unrelated." + }, + { + "left": "pull_request:2001", + "right": "pull_request:2274", + "accept": false, + "reason": "ColossalAI seed/launch typo fix vs transform-function naming clash in image generation scripts; not the same bug." + }, + { + "left": "pull_request:2001", + "right": "pull_request:2481", + "accept": false, + "reason": "ColossalAI example fix vs unconditional training test/logger behavior; different example and failure." + }, + { + "left": "pull_request:2001", + "right": "pull_request:3410", + "accept": false, + "reason": "ColossalAI launch typo fix vs accelerate state deepspeed_plugin retrieval; unrelated training scripts." + }, + { + "left": "pull_request:2325", + "right": "pull_request:4498", + "accept": false, + "reason": "ONNX VAE converter support vs SDXL reference community example; different tools and goals." + }, + { + "left": "pull_request:2584", + "right": "pull_request:3127", + "accept": false, + "reason": "Community ControlNet img2img pipeline addition vs img2img safety checker tensor handling; separate features/bugs." + }, + { + "left": "pull_request:2584", + "right": "pull_request:4276", + "accept": false, + "reason": "Pipeline feature addition vs a dependency/import test; no shared concrete change." + }, + { + "left": "pull_request:2861", + "right": "pull_request:3681", + "accept": false, + "reason": "StableUnCLIP image_embeds-none test vs checkpoint-limit handling in training scripts; unrelated." + }, + { + "left": "pull_request:3607", + "right": "pull_request:5695", + "accept": false, + "reason": "LoRA/attention graph fix vs PixArt mask-feature condition fix; different model paths and symptoms." + }, + { + "left": "pull_request:3691", + "right": "pull_request:4655", + "accept": false, + "reason": "LoRAAttnProcessor selection for PyTorch 2.0 vs dataset data_dir argument plumbing; unrelated changes." + }, + { + "left": "pull_request:4034", + "right": "pull_request:5747", + "accept": false, + "reason": "LoRA unload utility vs dataset data_dir parameter in training scripts; different concerns." + }, + { + "left": "pull_request:4262", + "right": "pull_request:4315", + "accept": false, + "reason": "SDXL DreamBooth LoRA fixes vs torch.compile graph-break fix in LoRA conv forward; not the same issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 198, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11261", + "pull_request:11268", + "pull_request:11582", + "pull_request:11894", + "pull_request:11979", + "pull_request:12215", + "pull_request:12220", + "pull_request:12324", + "pull_request:12830", + "pull_request:1369", + "pull_request:3846", + "pull_request:4343", + "pull_request:4395", + "pull_request:4629", + "pull_request:4655", + "pull_request:4714", + "pull_request:4947", + "pull_request:5024", + "pull_request:5508", + "pull_request:5668", + "pull_request:5788", + "pull_request:5833", + "pull_request:5834", + "pull_request:6213", + "pull_request:6254", + "pull_request:6346", + "pull_request:6511", + "pull_request:6759", + "pull_request:6764", + "pull_request:7062", + "pull_request:7096", + "pull_request:7103", + "pull_request:7134", + "pull_request:7200", + "pull_request:7295", + "pull_request:7627", + "pull_request:7650", + "pull_request:7797", + "pull_request:7803", + "pull_request:819", + "pull_request:8378", + "pull_request:8422", + "pull_request:8702", + "pull_request:8981", + "pull_request:9569", + "pull_request:9662", + "pull_request:9875", + "pull_request:9918" + ], + "soft_pairs": [ + "pull_request:4343|pull_request:5508", + "pull_request:4395|pull_request:4629", + "pull_request:4655|pull_request:6511", + "pull_request:4947|pull_request:5024", + "pull_request:5788|pull_request:6254", + "pull_request:6213|pull_request:6346", + "pull_request:6759|pull_request:7096", + "pull_request:6764|pull_request:8981", + "pull_request:7062|pull_request:8378", + "pull_request:7103|pull_request:8378", + "pull_request:7134|pull_request:7295", + "pull_request:7200|pull_request:7650", + "pull_request:7627|pull_request:9569", + "pull_request:7797|pull_request:9662", + "pull_request:7803|pull_request:9662", + "pull_request:8422|pull_request:9918", + "pull_request:8702|pull_request:8981", + "pull_request:12215|pull_request:12220", + "pull_request:11582|pull_request:12324", + "pull_request:11261|pull_request:9875", + "pull_request:11268|pull_request:11894", + "pull_request:11979|pull_request:12830", + "pull_request:1369|pull_request:819", + "pull_request:3846|pull_request:5833", + "pull_request:3846|pull_request:5834", + "pull_request:4714|pull_request:5668" + ], + "prepared_review_unit_hash": "416940ba83e124cee87f341a41c862cce9ff53b596ae61c3b2f2c712153b5070", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 98032, + "estimated_input_tokens": 24508, + "estimated_eval_tokens": 49272 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: most pairs are clearly unrelated PRs that just share a subsystem or file pattern. I found no true duplicate issue/PR pair; the strongest representative PR is the broad Qwen modular work (#12220), but it is not a duplicate of the other Qwen/Wan items.", + "confidence": 0.31, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single underlying change dominates the cluster; if one PR must stand in as the representative artifact, #12220 is the most substantial and central merged PR in the set.", + "best_issue_reason": null, + "best_pr_reason": "#12220 has the broadest scope and highest review signal, so it is the best standalone representative of this mixed PR cluster, though it should not be treated as a duplicate target.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4343", + "right": "pull_request:5508", + "accept": false, + "reason": "Both touch DreamBooth LoRA SDXL, but one adds a rank argument while the other adds several training features; different changes, not the same bug/fix." + }, + { + "left": "pull_request:4395", + "right": "pull_request:4629", + "accept": false, + "reason": "4395 fixes pre-encoding class prompts in DreamBooth; 4629 is an unrelated SDXL long weighted prompt/push-to-hub cleanup effort." + }, + { + "left": "pull_request:4655", + "right": "pull_request:6511", + "accept": false, + "reason": "One passes data_dir to load_dataset; the other makes checkpointing compatible with torch.compile. 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not the same concrete fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 199, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10008", + "pull_request:10020", + "pull_request:10119", + "pull_request:1012", + "pull_request:10230", + "pull_request:10494", + "pull_request:10497", + "pull_request:10633", + "pull_request:10730", + "pull_request:10894", + "pull_request:10898", + "pull_request:11004", + "pull_request:11095", + "pull_request:11243", + "pull_request:11261", + "pull_request:1129", + "pull_request:11556", + "pull_request:11979", + "pull_request:11994", + "pull_request:11999", + "pull_request:12117", + "pull_request:12119", + "pull_request:12288", + "pull_request:12301", + "pull_request:12416", + "pull_request:12439", + "pull_request:12445", + "pull_request:12611", + "pull_request:13216", + "pull_request:1496", + "pull_request:1920", + "pull_request:1942", + "pull_request:1966", + "pull_request:2040", + "pull_request:2347", + "pull_request:2467", + "pull_request:2516", + "pull_request:3850", + "pull_request:4098", + "pull_request:6003", + "pull_request:6841", + "pull_request:7158", + "pull_request:750", + "pull_request:8229", + "pull_request:8981", + "pull_request:9175", + "pull_request:9257", + "pull_request:9709" + ], + "soft_pairs": [ + "pull_request:6841|pull_request:8981", + "pull_request:7158|pull_request:8229", + "pull_request:4098|pull_request:6003", + "pull_request:1966|pull_request:2040", + "pull_request:12301|pull_request:12445", + "pull_request:12117|pull_request:12416", + "pull_request:10020|pull_request:9175", + "pull_request:12119|pull_request:12439", + "pull_request:12611|pull_request:13216", + "pull_request:10008|pull_request:11095", + "pull_request:10119|pull_request:11556", + "pull_request:1012|pull_request:1129", + "pull_request:10230|pull_request:11004", + "pull_request:10494|pull_request:10497", + "pull_request:10633|pull_request:10898", + "pull_request:10730|pull_request:9257", + "pull_request:10894|pull_request:9709", + "pull_request:11243|pull_request:11999", + "pull_request:11261|pull_request:12288", + "pull_request:11979|pull_request:11994", + "pull_request:1496|pull_request:2516", + "pull_request:1920|pull_request:750", + "pull_request:1942|pull_request:3850", + "pull_request:2347|pull_request:2467" + ], + "prepared_review_unit_hash": "ba86b03b4d550b24a09574bf8dfb868e6e97caf6eabed86b3ef636261cbe1715", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 103827, + "estimated_input_tokens": 25957, + "estimated_eval_tokens": 52170 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated docs, CI, scheduler, LoRA, and pipeline PRs across many different code paths. There is no single canonical artifact that cleanly represents the cluster.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the items are heterogeneous and do not share one underlying bug or change.", + "best_issue_reason": null, + "best_pr_reason": "No best PR: none of the PRs is representative of the whole cluster, and selecting one would be arbitrary.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6841", + "right": "pull_request:8981", + "accept": false, + "reason": "Different changes: one restores BasicTransformerBlock params; the other is LoRA docs cleanup. Same broad area, not same bug." + }, + { + "left": "pull_request:7158", + "right": "pull_request:8229", + "accept": false, + "reason": "Unrelated fixes: benchmark cleanup vs Stable Video Diffusion resize behavior." + }, + { + "left": "pull_request:4098", + "right": "pull_request:6003", + "accept": false, + "reason": "Both are inpainting-related, but for different pipelines and different code paths; not the same concrete change." + }, + { + "left": "pull_request:1966", + "right": "pull_request:2040", + "accept": false, + "reason": "Different pipeline additions: Flax inpainting vs InstructPix2Pix. Not the same underlying change." + }, + { + "left": "pull_request:12301", + "right": "pull_request:12445", + "accept": false, + "reason": "Qwen ControlNet inpaint support and Flux modular alignment are separate features." + }, + { + "left": "pull_request:12117", + "right": "pull_request:12416", + "accept": false, + "reason": "QwenImage pipelines vs QwenImage Edit Plus modular support are distinct changes." + }, + { + "left": "pull_request:10020", + "right": "pull_request:9175", + "accept": false, + "reason": "Different features: SD3.5 ControlNet conversion tooling vs Flux ControlNet support." + }, + { + "left": "pull_request:12119", + "right": "pull_request:12439", + "accept": false, + "reason": "LoRA loading support and attention backend support are unrelated code paths." + }, + { + "left": "pull_request:12611", + "right": "pull_request:13216", + "accept": false, + "reason": "Separate modular pipeline families (Wan vs Helios), not duplicates." + }, + { + "left": "pull_request:10008", + "right": "pull_request:11095", + "accept": false, + "reason": "Docs table fix for CogVideoX vs Flux ControlNet example fix are unrelated." + }, + { + "left": "pull_request:10119", + "right": "pull_request:11556", + "accept": false, + "reason": "Docs for load_lora_adapter vs regional compilation docs; no shared bug/change." + }, + { + "left": "pull_request:1012", + "right": "pull_request:1129", + "accept": false, + "reason": "Both touch DreamBooth, but one is PyTorch text-encoder train mode and the other is Flax sample batch sizing." + }, + { + "left": "pull_request:10230", + "right": "pull_request:11004", + "accept": false, + "reason": "Docs update for LoRA mixins and PEFT key-prefix handling are different issues." + }, + { + "left": "pull_request:10494", + "right": "pull_request:10497", + "accept": false, + "reason": "Both address tokenizers install in CI, but they propose different fixes to the same line; related, but not the same concrete change." + }, + { + "left": "pull_request:10633", + "right": "pull_request:10898", + "accept": false, + "reason": "Flux IP-Adapter docs and remote_decode infrastructure are unrelated." + }, + { + "left": "pull_request:10730", + "right": "pull_request:9257", + "accept": false, + "reason": "Hook-unwrapping fix and DreamBooth Flux script bug fix are separate problems." + }, + { + "left": "pull_request:10894", + "right": "pull_request:9709", + "accept": false, + "reason": "Toctree sorting/docs ordering is unrelated to the torch version pin." + }, + { + "left": "pull_request:11243", + "right": "pull_request:11999", + "accept": false, + "reason": "Musubi Wan LoRA conversion support and PEFT LoRA injection changes are different LoRA issues." + }, + { + "left": "pull_request:11261", + "right": "pull_request:12288", + "accept": false, + "reason": "VidTok autoencoder addition and InfiniteTalk pipeline addition are unrelated model/pipeline features." + }, + { + "left": "pull_request:1496", + "right": "pull_request:2516", + "accept": false, + "reason": "Habana Gaudi docs and evaluation docs are unrelated documentation additions." + }, + { + "left": "pull_request:1920", + "right": "pull_request:750", + "accept": false, + "reason": "Translating docs and LMS scheduler back-compat are completely unrelated." + }, + { + "left": "pull_request:1942", + "right": "pull_request:3850", + "accept": false, + "reason": "Script flag rename and audio_diffusion test fixes do not share an underlying bug." + }, + { + "left": "pull_request:2347", + "right": "pull_request:2467", + "accept": false, + "reason": "Scheduler schedule updates and latent output-type plumbing are unrelated changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 200, + "review_unit_count": 272, + "status": "reviewed", 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+ "pull_request:6163", + "pull_request:6174", + "pull_request:6213", + "pull_request:6346", + "pull_request:6908", + "pull_request:6909", + "pull_request:7134", + "pull_request:7359", + "pull_request:7780", + "pull_request:934" + ], + "soft_pairs": [ + "pull_request:237|pull_request:934", + "pull_request:2487|pull_request:492", + "pull_request:3260|pull_request:4887", + "pull_request:3370|pull_request:5196", + "pull_request:3552|pull_request:5180", + "pull_request:3561|pull_request:3877", + "pull_request:3711|pull_request:5614", + "pull_request:3806|pull_request:5456", + "pull_request:4242|pull_request:5880", + "pull_request:4276|pull_request:4508", + "pull_request:4276|pull_request:5456", + "pull_request:4285|pull_request:4422", + "pull_request:4365|pull_request:6346", + "pull_request:4635|pull_request:5602", + "pull_request:5097|pull_request:6163", + "pull_request:5204|pull_request:5754", + "pull_request:5391|pull_request:7134", + "pull_request:5420|pull_request:6213", + "pull_request:5421|pull_request:5626", + "pull_request:5724|pull_request:6174", + "pull_request:5974|pull_request:6908", + "pull_request:5974|pull_request:6909", + "pull_request:5988|pull_request:6140", + "pull_request:6081|pull_request:6213", + "pull_request:6105|pull_request:7359", + "pull_request:6140|pull_request:7780" + ], + "prepared_review_unit_hash": "a989fb38b8c981937581eb7aaab3acffa991d08e4c83331d7ae2e39a5aeb1ab8", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 101304, + "estimated_input_tokens": 25326, + "estimated_eval_tokens": 50908 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set: it contains many unrelated pull requests spanning docs, tests, example scripts, and feature work, with only superficial thematic similarity in a few pairs.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a good canonical representative; the items are heterogeneous and do not share one concrete bug or change.", + "best_issue_reason": null, + "best_pr_reason": "No PR here is a strong global representative because the cluster is broad and the soft-linked pairs still address different code paths or documentation updates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:237", + "right": "pull_request:934", + "accept": false, + "reason": "One adds CI/fixes a test; the other fixes MPS test expectations. Different maintenance changes, not the same change or bug." + }, + { + "left": "pull_request:2487", + "right": "pull_request:492", + "accept": false, + "reason": "Docs for JAX/Flax stable diffusion vs initial Flax PNDM scheduler support; different features and code paths." + }, + { + "left": "pull_request:3260", + "right": "pull_request:4887", + "accept": false, + "reason": "Removing a required CLI arg for ControlNet training is unrelated to removing latents from Kandinsky prior_emb2emb." + }, + { + "left": "pull_request:3370", + "right": "pull_request:5196", + "accept": false, + "reason": "Both touch docs about optimization, but one updates PyTorch 2.0 docs and the other edits xformers/memory docs; not the same change." + }, + { + "left": "pull_request:3552", + "right": "pull_request:5180", + "accept": false, + "reason": "General docs maintenance versus a small Wuerstchen citation fix; unrelated documentation edits." + }, + { + "left": "pull_request:3561", + "right": "pull_request:3877", + "accept": false, + "reason": "DreamBooth IF stage II upscaling changes are unrelated to the SDXL DreamBooth LoRA WIP implementation." + }, + { + "left": "pull_request:3711", + "right": "pull_request:5614", + "accept": false, + "reason": "Reverting a docs-build secrets workflow change is unrelated to reverting SDXL training width/height ordering." + }, + { + "left": "pull_request:3806", + "right": "pull_request:5456", + "accept": false, + "reason": "A README note about checkpoint loading is unrelated to adding the RealFill training/inference project." + }, + { + "left": "pull_request:4242", + "right": "pull_request:5880", + "accept": false, + "reason": "Allowing VAE loading from single-file checkpoints is a loader change; the VAE PR fixes config support across latent-diffusion models, not the same bug." + }, + { + "left": "pull_request:4276", + "right": "pull_request:4508", + "accept": false, + "reason": "A pipeline import test and a fix for use_onnx in from_pretrained are different concerns." + }, + { + "left": "pull_request:4276", + "right": "pull_request:5456", + "accept": false, + "reason": "Pipeline import coverage is unrelated to the RealFill training project." + }, + { + "left": "pull_request:4285", + "right": "pull_request:4422", + "accept": false, + "reason": "Both edit ONNX/OpenVINO docs, but they are separate documentation updates for different content and examples." + }, + { + "left": "pull_request:4365", + "right": "pull_request:6346", + "accept": false, + "reason": "Both touch SDXL LoRA-related files, but one adds the example/docs and the other fixes state-dict conversion; not the same concrete change." + }, + { + "left": "pull_request:4635", + "right": "pull_request:5602", + "accept": false, + "reason": "MultiControlNet docs vs table-format cleanup in stable diffusion overview; unrelated documentation work." + }, + { + "left": "pull_request:5097", + "right": "pull_request:6163", + "accept": false, + "reason": "Both are test fixes for float16/LoRA-related paths, but they target different test cases and failure modes." + }, + { + "left": "pull_request:5204", + "right": "pull_request:5754", + "accept": false, + "reason": "LoRA text-encoder scaling fix versus minor styling cleanup in training scripts; not the same issue." + }, + { + "left": "pull_request:5391", + "right": "pull_request:7134", + "accept": false, + "reason": "General typehint/docs cleanup in model classes versus UNet type-hint adjustments; separate documentation/style changes." + }, + { + "left": "pull_request:5420", + "right": "pull_request:6213", + "accept": false, + "reason": "A docs example fix for create_repo/repo_id is unrelated to a text-to-video pipeline cleanup." + }, + { + "left": "pull_request:5421", + "right": "pull_request:5626", + "accept": false, + "reason": "Import/deprecation fix in versatile diffusion is unrelated to the CPU offload test correction." + }, + { + "left": "pull_request:5724", + "right": "pull_request:6174", + "accept": false, + "reason": "LoRA test decorator changes are unrelated to adding a missing backslash in a docs command." + }, + { + "left": "pull_request:5974", + "right": "pull_request:6908", + "accept": false, + "reason": "PixArtAlpha pipeline adaptation is unrelated to SDXL ControlNet model-card standardization." + }, + { + "left": "pull_request:5974", + "right": "pull_request:6909", + "accept": false, + "reason": "PixArtAlpha pipeline adaptation is unrelated to ControlNet Flax model-card standardization." + }, + { + "left": "pull_request:5988", + "right": "pull_request:6140", + "accept": false, + "reason": "Kandinsky 3 docs/pipeline work is unrelated to the IP-Adapter API doc addition." + }, + { + "left": "pull_request:6081", + "right": "pull_request:6213", + "accept": false, + "reason": "Adjusting SDXL scheduler sigmas for torch.compile is unrelated to text-to-video pipeline cleanup." + }, + { + "left": "pull_request:6105", + "right": "pull_request:7359", + "accept": false, + "reason": "SDE Drag community pipeline addition is unrelated to the ResAdapter training script." + }, + { + "left": "pull_request:6140", + "right": "pull_request:7780", + "accept": false, + "reason": "IP-Adapter API doc introduction versus an IP-Adapter masking wording fix; same area but not the same concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 201, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10578", + "pull_request:11004", + "pull_request:11595", + "pull_request:11802", + "pull_request:11894", + "pull_request:12226", + "pull_request:12618", + "pull_request:13294", + "pull_request:13352", + "pull_request:1945", + "pull_request:2002", + "pull_request:2347", + "pull_request:2617", + "pull_request:2994", + "pull_request:3900", + "pull_request:3924", + "pull_request:4215", + "pull_request:4508", + "pull_request:4744", + "pull_request:4859", + "pull_request:5035", + "pull_request:5057", + "pull_request:5164", + "pull_request:5579", + "pull_request:6003", + "pull_request:6209", + "pull_request:6369", + "pull_request:6757", + "pull_request:6927", + "pull_request:6998", + "pull_request:7230", + "pull_request:7662", + "pull_request:7780", + "pull_request:7913", + "pull_request:8322", + "pull_request:8531", + "pull_request:8571", + "pull_request:8755", + "pull_request:8825", + "pull_request:8937", + "pull_request:9040", + "pull_request:9041", + "pull_request:9213", + "pull_request:9234", + "pull_request:9707", + "pull_request:9807", + "pull_request:9968" + ], + "soft_pairs": [ + "pull_request:6209|pull_request:6927", + "pull_request:6757|pull_request:7913", + "pull_request:6998|pull_request:7780", + "pull_request:8322|pull_request:8571", + "pull_request:8531|pull_request:9234", + "pull_request:8825|pull_request:9807", + "pull_request:8937|pull_request:9707", + "pull_request:9040|pull_request:9041", + "pull_request:5057|pull_request:7230", + "pull_request:10578|pull_request:9213", + "pull_request:11004|pull_request:11802", + "pull_request:11595|pull_request:12226", + "pull_request:11894|pull_request:12618", + "pull_request:13294|pull_request:13352", + "pull_request:1945|pull_request:2617", + "pull_request:2002|pull_request:2347", + "pull_request:2994|pull_request:3924", + "pull_request:4215|pull_request:4744", + "pull_request:4508|pull_request:4859", + "pull_request:5035|pull_request:5579", + "pull_request:5164|pull_request:5579", + "pull_request:6369|pull_request:7662", + "pull_request:8755|pull_request:9968", + "pull_request:3900|pull_request:6003" + ], + "prepared_review_unit_hash": "bf1832a5dbb444a623fc4fb318b883753536856f88723c0c6e94dad831704ccc", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 100160, + "estimated_input_tokens": 25040, + "estimated_eval_tokens": 50336 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The proposed soft-edge pairs are not true duplicates: they mostly share a subsystem or release theme, but each PR targets a different concrete change. I rejected all soft edges and would treat PR #9213 as the best representative only because it is the broadest, most central PR in the set.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a true canonical duplicate for this set; if a representative is needed, #9213 is the strongest anchor because it is the broad quantization feature PR with the most discussion and inbound references.", + "best_issue_reason": null, + "best_pr_reason": "#9213 is the best global representative because it is the largest, most impactful, and most referenced PR in the cluster, whereas the others are smaller point fixes or unrelated docs/CI changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6209", + "right": "pull_request:6927", + "accept": false, + "reason": "Different changes: README example fix vs community prompt2prompt import refactor. Same docs area, not the same underlying bug or change." + }, + { + "left": "pull_request:6757", + "right": "pull_request:7913", + "accept": false, + "reason": "Both touch timestep/sigma handling, but one is a device-placement fix and the other adds custom timesteps/sigmas for ControlNet. Not mergeable as one duplicate change." + }, + { + "left": "pull_request:6998", + "right": "pull_request:7780", + "accept": false, + "reason": "Both edit the IP-Adapter docs, but they fix different doc sections and issues: callout markup vs masking/face-id wording." + }, + { + "left": "pull_request:8322", + "right": "pull_request:8571", + "accept": false, + "reason": "Both are typo/style errata, but they are broad, unrelated documentation cleanup PRs rather than the same concrete change." + }, + { + "left": "pull_request:8531", + "right": "pull_request:9234", + "accept": false, + "reason": "Completely different fixes: sharding/device_map behavior versus safetensors compatibility regression." + }, + { + "left": "pull_request:8825", + "right": "pull_request:9807", + "accept": false, + "reason": "Unrelated code paths: k-diffusion pipeline feature work versus AutoencoderKL LoRA adapter support." + }, + { + "left": "pull_request:8937", + "right": "pull_request:9707", + "accept": false, + "reason": "One fixes long-prompt handling in AuraFlow code; the other is a docstring refactor in a different model file." + }, + { + "left": "pull_request:9040", + "right": "pull_request:9041", + "accept": false, + "reason": "Same project area but different additions: Differential Diffusion vs an Img2Img variant for HunyuanDiT." + }, + { + "left": "pull_request:5057", + "right": "pull_request:7230", + "accept": false, + "reason": "Different features: SDXL clip-skip support versus single-file checkpoint loading support." + }, + { + "left": "pull_request:10578", + "right": "pull_request:9213", + "accept": false, + "reason": "#10578 is a specific 4-bit Flux LoRA loading fix; #9213 is a broad bitsandbytes quantization framework addition. Related topic, not the same bug/change." + }, + { + "left": "pull_request:11004", + "right": "pull_request:11802", + "accept": false, + "reason": "Both involve LoRA cleanup, but one removes a PEFT prefix import path and the other removes deprecated lora_base methods. Not the same underlying change." + }, + { + "left": "pull_request:11595", + "right": "pull_request:12226", + "accept": false, + "reason": "Different domains entirely: Flux LoRA loading fix versus a Qwen-Image ControlNet test addition." + }, + { + "left": "pull_request:11894", + "right": "pull_request:12618", + "accept": false, + "reason": "Both are CI-related, but one pins k-diffusion and the other fixes a uv install typo. Different failure modes." + }, + { + "left": "pull_request:13294", + "right": "pull_request:13352", + "accept": false, + "reason": "Unrelated CI/workflow fixes: WanVACE test flakiness versus adding a checkout step to Claude review workflow." + }, + { + "left": "pull_request:1945", + "right": "pull_request:2617", + "accept": false, + "reason": "Tests for UNet blocks versus introducing the image processor are unrelated changes." + }, + { + "left": "pull_request:2002", + "right": "pull_request:2347", + "accept": false, + "reason": "One adds a LoRA training example; the other changes scheduler noise scheduling. No shared concrete bug." + }, + { + "left": "pull_request:2994", + "right": "pull_request:3924", + "accept": false, + "reason": "ControlNet training-script casting fix versus a doc example parameter update. Same example family, different change type and problem." + }, + { + "left": "pull_request:4215", + "right": "pull_request:4744", + "accept": false, + "reason": "Different documentation updates in different pipelines; not the same underlying issue." + }, + { + "left": "pull_request:4508", + "right": "pull_request:4859", + "accept": false, + "reason": "`use_onnx` loading behavior and an SDXL inpaint fast test tweak are unrelated." + }, + { + "left": "pull_request:5035", + "right": "pull_request:5579", + "accept": false, + "reason": "One avoids forcing transformers installation; the other bumps the minimum transformers version for PEFT. Different dependency policy changes." + }, + { + "left": "pull_request:5164", + "right": "pull_request:5579", + "accept": false, + "reason": "FreeU architecture changes are unrelated to a PEFT/transformers minimum-version bump." + }, + { + "left": "pull_request:6369", + "right": "pull_request:7662", + "accept": false, + "reason": "LoRA API deprecation cleanup versus removing redundant test dependencies from Flax workflows. Different code paths." + }, + { + "left": "pull_request:8755", + "right": "pull_request:9968", + "accept": false, + "reason": "Different model areas and fixes: SD3 DreamBooth LoRA training versus ControlNet module refactor." + }, + { + "left": "pull_request:3900", + "right": "pull_request:6003", + "accept": false, + "reason": "Video-to-video pipeline addition versus Stable Video Diffusion inpaint support. Similar high-level area, but not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 202, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10322", + "pull_request:10358", + "pull_request:10370", + "pull_request:10537", + "pull_request:10854", + "pull_request:10983", + "pull_request:11025", + "pull_request:11059", + "pull_request:1128", + "pull_request:11524", + "pull_request:11535", + "pull_request:11556", + "pull_request:11582", + "pull_request:11715", + "pull_request:11894", + "pull_request:12151", + "pull_request:12541", + "pull_request:12611", + "pull_request:1283", + "pull_request:1355", + "pull_request:1496", + "pull_request:164", + "pull_request:1945", + "pull_request:1977", + "pull_request:2048", + "pull_request:2279", + "pull_request:2314", + "pull_request:2325", + "pull_request:2398", + "pull_request:2489", + "pull_request:3054", + "pull_request:3334", + "pull_request:3546", + "pull_request:4090", + "pull_request:4132", + "pull_request:4597", + "pull_request:4712", + "pull_request:5053", + "pull_request:5057", + "pull_request:5127", + "pull_request:538", + "pull_request:5388", + "pull_request:5736", + "pull_request:5754", + "pull_request:5853", + "pull_request:5991", + "pull_request:6816" + ], + "soft_pairs": [ + "pull_request:1128|pull_request:1355", + "pull_request:4597|pull_request:5127", + "pull_request:5053|pull_request:5991", + "pull_request:5388|pull_request:6816", + "pull_request:11582|pull_request:12611", + "pull_request:10983|pull_request:11025", + "pull_request:10322|pull_request:10537", + "pull_request:10358|pull_request:11556", + "pull_request:10370|pull_request:11059", + "pull_request:10854|pull_request:11894", + "pull_request:11524|pull_request:11535", + "pull_request:11556|pull_request:11715", + "pull_request:12151|pull_request:12541", + "pull_request:1283|pull_request:2325", + "pull_request:1496|pull_request:164", + "pull_request:1945|pull_request:2314", + "pull_request:1977|pull_request:538", + "pull_request:2048|pull_request:4132", + "pull_request:2279|pull_request:3054", + "pull_request:2398|pull_request:4090", + "pull_request:2489|pull_request:3334", + "pull_request:3546|pull_request:5057", + "pull_request:4712|pull_request:5853", + "pull_request:5736|pull_request:5754" + ], + "prepared_review_unit_hash": "18a36dc7a4aaa4a62b93adb56f3987184041f4a83ab74dccda739db35b436b06", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 100518, + "estimated_input_tokens": 25130, + "estimated_eval_tokens": 50516 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very noisy: the soft edges mostly link unrelated PRs that only share broad keywords or a subsystem name. None of the candidate pairs looks like the same concrete fix/change, so all soft edges should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the cluster is heterogeneous, and the candidate pairings do not describe the same underlying change.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a safe global representative; the items span unrelated docs, tests, LoRA, Wan, SDXL, and scheduler changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1128", + "right": "pull_request:1355", + "accept": false, + "reason": "Inpaint tensor-input support and a Flax img2img pipeline are unrelated features with different pipelines and codepaths." + }, + { + "left": "pull_request:4597", + "right": "pull_request:5127", + "accept": false, + "reason": "MultiControlNet SDXL support and multi-adapter SDXL adapter handling are different integration changes, not the same bug fix." + }, + { + "left": "pull_request:5053", + "right": "pull_request:5991", + "accept": false, + "reason": "`validation_image` CLI handling and LoRA prefix serialization are unrelated fixes in different areas." + }, + { + "left": "pull_request:5388", + "right": "pull_request:6816", + "accept": false, + "reason": "Both touch DreamBooth LoRA, but one adds PEFT support and the other fixes DDP embedding grad handling; different code paths and goals." + }, + { + "left": "pull_request:11582", + "right": "pull_request:12611", + "accept": false, + "reason": "Both are Wan-related, but Wan VACE and modular Wan are separate feature sets and not the same change." + }, + { + "left": "pull_request:10983", + "right": "pull_request:11025", + "accept": false, + "reason": "Hunyuan I2V model support and Wan LoRA support are unrelated model integrations." + }, + { + "left": "pull_request:10322", + "right": "pull_request:10537", + "accept": false, + "reason": "Sana 2K model conversion and Sana 4K pipeline changes are different model-size additions, not one underlying fix." + }, + { + "left": "pull_request:10358", + "right": "pull_request:11556", + "accept": false, + "reason": "A community-projects docs entry and regional compilation docs are unrelated documentation updates." + }, + { + "left": "pull_request:10370", + "right": "pull_request:11059", + "accept": false, + "reason": "TorchAO quantizer style/import cleanup and Wan LoRA conversion logic are unrelated changes." + }, + { + "left": "pull_request:10854", + "right": "pull_request:11894", + "accept": false, + "reason": "Hunyuan DiT test-module renaming and k-diffusion pinning for CI are unrelated CI/test maintenance tasks." + }, + { + "left": "pull_request:11524", + "right": "pull_request:11535", + "accept": false, + "reason": "Cosmos torchvision import gating and Framepack transformer initialization order are different model implementation fixes." + }, + { + "left": "pull_request:11556", + "right": "pull_request:11715", + "accept": false, + "reason": "Regional compilation docs and bnb test annotations do not fix the same issue." + }, + { + "left": "pull_request:12151", + "right": "pull_request:12541", + "accept": false, + "reason": "Flax deprecation and late-step Wan LoRA conversion are unrelated changes." + }, + { + "left": "pull_request:1283", + "right": "pull_request:2325", + "accept": false, + "reason": "Versatile Diffusion model support and a VAE ONNX converter are separate features." + }, + { + "left": "pull_request:1496", + "right": "pull_request:164", + "accept": false, + "reason": "Habana Gaudi docs and DDPM/PNDM scaled_linear schedule support are unrelated." + }, + { + "left": "pull_request:1945", + "right": "pull_request:2314", + "accept": false, + "reason": "UNet block tests and fast-test tolerance updates are different test additions." + }, + { + "left": "pull_request:1977", + "right": "pull_request:538", + "accept": false, + "reason": "DreamBooth ColossalAI script adjustments and hub-version pinning are unrelated 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No common bug or merged change." + }, + { + "left": "pull_request:6332", + "right": "pull_request:8404", + "accept": false, + "reason": "Both are video-related, but one is a community pipeline and the other is Latte model support. Different features and files." + }, + { + "left": "pull_request:6432", + "right": "pull_request:7638", + "accept": false, + "reason": "README learning-rate update vs CONTRIBUTING link correction. Purely unrelated documentation edits." + }, + { + "left": "pull_request:6432", + "right": "pull_request:8303", + "accept": false, + "reason": "Different docs-only fixes with no shared underlying issue." + }, + { + "left": "pull_request:6511", + "right": "pull_request:7652", + "accept": false, + "reason": "Torch.compile checkpointing for DreamBooth LoRA is unrelated to Docker Buildx workflow changes." + }, + { + "left": "pull_request:689", + "right": "pull_request:819", + "accept": false, + "reason": "Slow-test attention optimization and DDIM Windows int64 fix are unrelated scheduler/model fixes." + }, + { + "left": "pull_request:7115", + "right": "pull_request:8512", + "accept": false, + "reason": "Dockerfile cleanup and deprecated mask helper removal are unrelated." + }, + { + "left": "pull_request:7200", + "right": "pull_request:8722", + "accept": false, + "reason": "Transformer layernorm validation and embeddings refactor are not the same bug/change." + }, + { + "left": "pull_request:7458", + "right": "pull_request:7638", + "accept": false, + "reason": "Python 3.12 dynamo test skipping vs a CONTRIBUTING link update; no shared fix." + }, + { + "left": "pull_request:8566", + "right": "pull_request:9987", + "accept": false, + "reason": "Both involve SD3-related additions, but one is ControlNet support and the other is IP-Adapter integration. Different concrete features." + }, + { + "left": "pull_request:9400", + "right": "pull_request:9896", + "accept": false, + "reason": "Device-agnostic test updates and a Flux revert fixing device transfers are not the same underlying code-path problem." + }, + { + "left": "pull_request:4944", + "right": "pull_request:5653", + "accept": false, + "reason": "IP-Adapter implementation work and PEFT-related model unwrapping are different issues." + }, + { + "left": "pull_request:6884", + "right": "pull_request:7016", + "accept": false, + "reason": "Both are IP-Adapter adjacent, but one validates scale length and the other refactors image-embed preparation/encoder loading. Not the same concrete fix." + }, + { + "left": "pull_request:12933", + "right": "pull_request:12934", + "accept": false, + "reason": "LTX-2 LoRA support and LTX2 distilled checkpoint support are separate feature tracks, despite sharing some files." + }, + { + "left": "pull_request:5388", + "right": "pull_request:5823", + "accept": false, + "reason": "PEFT example adaptation and adding adapter_names to fuse_lora are different LoRA tasks, not one duplicate change." + }, + { + "left": "pull_request:6490", + "right": "pull_request:7359", + "accept": false, + "reason": "Two unrelated community research projects; no shared bug or mergeable change." + }, + { + "left": "pull_request:5713", + "right": "pull_request:7016", + "accept": false, + "reason": "Initial IP-Adapter support vs later refactor of image-embed preparation/encoder skipping. Same subsystem, but not the same concrete issue." + }, + { + "left": "pull_request:10126", + "right": "pull_request:9827", + "accept": false, + "reason": "LoRA deprecation message and LoRA device_map/offload fix are unrelated loader changes." + }, + { + "left": "pull_request:10127", + "right": "pull_request:8932", + "accept": false, + "reason": "Test xfail for incompatible SD configs vs temporal transformer test coverage. Different objectives and code paths." + }, + { + "left": "pull_request:10127", + "right": "pull_request:8973", + "accept": false, + "reason": "Same as above: xfail test workaround versus lumina test size reduction." + }, + { + "left": "pull_request:10230", + "right": "pull_request:10719", + "accept": false, + "reason": "Docs additions for LoRA loader mixins and ONNX provider_options plumbing are unrelated changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 206, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10342", + "pull_request:10506", + "pull_request:10539", + "pull_request:10719", + "pull_request:10966", + "pull_request:11124", + "pull_request:11292", + "pull_request:1136", + "pull_request:11613", + "pull_request:11823", + "pull_request:11877", + "pull_request:11892", + "pull_request:12275", + "pull_request:1229", + "pull_request:12315", + "pull_request:12530", + "pull_request:12782", + "pull_request:1309", + "pull_request:13120", + "pull_request:13330", + "pull_request:13332", + "pull_request:13364", + "pull_request:1508", + "pull_request:1564", + "pull_request:1706", + "pull_request:1910", + "pull_request:1945", + "pull_request:2002", + "pull_request:2062", + "pull_request:2122", + "pull_request:2274", + "pull_request:2325", + "pull_request:2347", + "pull_request:2467", + "pull_request:2481", + "pull_request:2641", + "pull_request:2793", + "pull_request:2795", + "pull_request:326", + "pull_request:3397", + "pull_request:3410", + "pull_request:3850", + "pull_request:4276", + "pull_request:4499", + "pull_request:4500", + "pull_request:689", + "pull_request:9244", + "pull_request:9687" + ], + "soft_pairs": [ + "pull_request:10342|pull_request:10966", + "pull_request:10506|pull_request:11124", + "pull_request:10539|pull_request:9244", + "pull_request:10719|pull_request:9687", + "pull_request:11292|pull_request:12315", + "pull_request:1136|pull_request:2002", + "pull_request:11613|pull_request:12530", + "pull_request:11823|pull_request:12275", + "pull_request:11877|pull_request:11892", + "pull_request:1229|pull_request:1309", + "pull_request:12782|pull_request:13364", + "pull_request:1309|pull_request:1945", + "pull_request:13120|pull_request:13332", + "pull_request:13330|pull_request:13332", + "pull_request:1508|pull_request:2122", + "pull_request:1508|pull_request:2793", + "pull_request:1564|pull_request:1910", + "pull_request:1706|pull_request:2795", + "pull_request:2062|pull_request:3410", + "pull_request:2274|pull_request:3850", + "pull_request:2274|pull_request:689", + "pull_request:2325|pull_request:4499", + "pull_request:2325|pull_request:4500", + "pull_request:2347|pull_request:4276", + "pull_request:2467|pull_request:326", + "pull_request:2481|pull_request:3850", + "pull_request:2481|pull_request:689", + "pull_request:2641|pull_request:3397" + ], + "prepared_review_unit_hash": "11cd34578cf42927609a62262a3c0d8183967b555955a01c3abd61922a6aabdb", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 102455, + "estimated_input_tokens": 25614, + "estimated_eval_tokens": 51484 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated PRs across docs, tests, pipelines, and utilities. 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"pull_request:7309", + "right": "pull_request:9060", + "accept": false, + "reason": "A scheduler order-guard change is unrelated to removing a debug print from Flux transformer code." + }, + { + "left": "pull_request:7738", + "right": "pull_request:8964", + "accept": false, + "reason": "LoRA device placement robustness is unrelated to the AudioLDM2 cache-position fix." + }, + { + "left": "pull_request:7790", + "right": "pull_request:9447", + "accept": false, + "reason": "An SDXL community example adaptation is unrelated to changing pipeline save_pretrained sharding defaults." + }, + { + "left": "pull_request:7938", + "right": "pull_request:9735", + "accept": false, + "reason": "Docker Slack reporting workflow changes are unrelated to SD3 ControlNet example updates." + }, + { + "left": "pull_request:8660", + "right": "pull_request:9938", + "accept": false, + "reason": "A Stable Diffusion 3 ControlNet input-validation update is unrelated to the SDXL reference pipeline refresh." + }, + { + "left": "pull_request:9735", + "right": "pull_request:9918", + "accept": false, + "reason": "SD3 ControlNet example edits and the server example are different features with no shared bug or change." + }, + { + "left": "pull_request:8875", + "right": "pull_request:9175", + "accept": false, + "reason": "Both add PAG/ControlNet support, but they target different pipelines and code paths, so they are not the same mergeable change." + }, + { + "left": "pull_request:10747", + "right": "pull_request:10951", + "accept": false, + "reason": "SDXL MultiControlNetUnion support and the SDXL tile upscaler pipeline are different features, not one concrete fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 208, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10072", + "pull_request:10292", + "pull_request:10552", + "pull_request:10719", + "pull_request:10911", + "pull_request:11004", + "pull_request:11614", + "pull_request:11818", + "pull_request:11823", + "pull_request:11975", + "pull_request:12424", + "pull_request:1282", + "pull_request:1309", + "pull_request:13217", + "pull_request:13229", + "pull_request:1564", + "pull_request:1579", + "pull_request:1787", + "pull_request:1920", + "pull_request:2345", + "pull_request:2367", + "pull_request:2389", + "pull_request:2452", + "pull_request:2565", + "pull_request:26", + "pull_request:274", + "pull_request:3252", + "pull_request:3632", + "pull_request:3831", + "pull_request:4078", + "pull_request:4099", + "pull_request:4262", + "pull_request:4404", + "pull_request:4408", + "pull_request:4461", + "pull_request:453", + "pull_request:4632", + "pull_request:4847", + "pull_request:4910", + "pull_request:5127", + "pull_request:530", + "pull_request:5393", + "pull_request:5695", + "pull_request:689", + "pull_request:6946", + "pull_request:9212", + "pull_request:9244", + "pull_request:9507" + ], + "soft_pairs": [ + "pull_request:13217|pull_request:13229", + "pull_request:5127|pull_request:6946", + "pull_request:10552|pull_request:11823", + "pull_request:3632|pull_request:4408", + "pull_request:10072|pull_request:9507", + "pull_request:10292|pull_request:9212", + "pull_request:10719|pull_request:9244", + "pull_request:10911|pull_request:11975", + "pull_request:11004|pull_request:11818", + "pull_request:11614|pull_request:12424", + "pull_request:1282|pull_request:2389", + "pull_request:1309|pull_request:274", + "pull_request:1564|pull_request:3252", + "pull_request:1579|pull_request:274", + "pull_request:1787|pull_request:689", + "pull_request:1920|pull_request:2452", + "pull_request:2345|pull_request:4461", + "pull_request:2367|pull_request:3252", + "pull_request:2565|pull_request:453", + "pull_request:26|pull_request:530", + "pull_request:3831|pull_request:4847", + "pull_request:4078|pull_request:4910", + "pull_request:4099|pull_request:5695", + "pull_request:4262|pull_request:4404", + "pull_request:4632|pull_request:5393" + ], + "prepared_review_unit_hash": "78ab11a1993f454a39cd03f40c02be8f0bc6ea9213eab8cf0f4a17d6d9766553", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 98017, + "estimated_input_tokens": 24505, + "estimated_eval_tokens": 49266 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are 24 weakly similar but mostly unrelated PR pairs; the matches are driven by broad subsystem overlap (Flux, docs, docker, SDXL, etc.) rather than the same concrete bug or change. I would reject all soft edges as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:13217 is the strongest single representative in the set: it is a large, merged feature PR with the highest discussion/review activity and multiple downstream references. Still, it is not actually duplicate-equivalent to the others.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:13217 is the best available PR anchor only because it is the most substantial and central merged change in the batch; no pair here is strong enough to justify treating it as the same fix as another PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13217", + "right": "pull_request:13229", + "accept": false, + "reason": "Both are LTX/Sana-video related, but they solve different problems in different entry points: model support vs adding an LTX2 VAE to Sana video." + }, + { + "left": "pull_request:5127", + "right": "pull_request:6946", + "accept": false, + "reason": "Different components and behaviors: SDXL Adapter multi-adapter input handling versus IP-Adapter low_cpu_mem_usage loading optimization." + }, + { + "left": "pull_request:10552", + "right": "pull_request:11823", + "accept": false, + "reason": "From-single-file support for a T2I adapter pipeline is unrelated to Fal KonteXt LoRA conversion/loading." + }, + { + "left": "pull_request:3632", + "right": "pull_request:4408", + "accept": false, + "reason": "Panorama view batching and SDXL from_single_file support are separate pipeline features with no shared bug path." + }, + { + "left": "pull_request:10072", + "right": "pull_request:9507", + "accept": false, + "reason": "Both touch Flux ControlNet code, but one fixes SD3.5 controlnet offloading and the other fixes Flux control mode batching; different code paths and symptoms." + }, + { + "left": "pull_request:10292", + "right": "pull_request:9212", + "accept": false, + "reason": "Both affect auto_pipeline, but they add support for different model families (Flux Control vs Kolors img2img) and are not the same change." + }, + { + "left": "pull_request:10719", + "right": "pull_request:9244", + "accept": false, + "reason": "Provider options plumbing in from_pretrained is unrelated to adding Flux single-file support." + }, + { + "left": "pull_request:10911", + "right": "pull_request:11975", + "accept": false, + "reason": "One is a Lumina2 LoRA fuse_nan test fix, the other is a style-only edit in a Flux training example; not the same bug." + }, + { + "left": "pull_request:11004", + "right": "pull_request:11818", + "accept": false, + "reason": "Removing FULLY_QUALIFIED_PATTERN_KEY_PREFIX handling in PEFT and removing DtoH syncs in Flux Kontext are unrelated fixes." + }, + { + "left": "pull_request:11614", + "right": "pull_request:12424", + "accept": false, + "reason": "Both touch Docker/CI, but one changes workflow shell handling for changed images and the other rewrites Dockerfile definitions across multiple images." + }, + { + "left": "pull_request:1282", + "right": "pull_request:2389", + "accept": false, + "reason": "Different documentation fixes in different files; one corrects a training link, the other fixes typos in quicktour." + }, + { + "left": "pull_request:1309", + "right": "pull_request:274", + "accept": false, + "reason": "A broad PIL handling refactor and adding a Stable Diffusion README are unrelated changes." + }, + { + "left": "pull_request:1564", + "right": "pull_request:3252", + "accept": false, + "reason": "Default accelerate config docs and notes about stateful offload methods are different documentation updates, not the same underlying issue." + }, + { + "left": "pull_request:1579", + "right": "pull_request:274", + "accept": false, + "reason": "Intel-optimized example additions do not match the Stable Diffusion README addition." + }, + { + "left": "pull_request:1787", + "right": "pull_request:689", + "accept": false, + "reason": "UnCLIP image-count behavior and attention speed test adjustments are unrelated." + }, + { + "left": "pull_request:1920", + "right": "pull_request:2452", + "accept": false, + "reason": "Adding TRANSLATING.md and adding a core-api docs page are separate documentation features." + }, + { + "left": "pull_request:2345", + "right": "pull_request:4461", + "accept": false, + "reason": "xFormers version warnings in training scripts are unrelated to adding pipeline_class_name to the conversion script." + }, + { + "left": "pull_request:2367", + "right": "pull_request:3252", + "accept": false, + "reason": "Checkpoint retention logic in training scripts is not the same as adding statefulness notes to offload docs." + }, + { + "left": "pull_request:2565", + "right": "pull_request:453", + "accept": false, + "reason": "UNet1D docs correction and installation typo fix are unrelated documentation patches." + }, + { + "left": "pull_request:26", + "right": "pull_request:530", + "accept": false, + "reason": "A scheduler math fix and a flaky img2img test adjustment are not the same bug or change." + }, + { + "left": "pull_request:3831", + "right": "pull_request:4847", + "accept": false, + "reason": "A new DDPM inversion pipeline and a prompt-free diffusion community example are different features." + }, + { + "left": "pull_request:4078", + "right": "pull_request:4910", + "accept": false, + "reason": "Forcing accelerate for from_single_file and an inpainting docs typo fix are unrelated." + }, + { + "left": "pull_request:4099", + "right": "pull_request:5695", + "accept": false, + "reason": "SDXL prompt embedding fix and PixArt-Alpha mask condition fix are different model-specific bugs." + }, + { + "left": "pull_request:4262", + "right": "pull_request:4404", + "accept": false, + "reason": "SDXL DreamBooth LoRA fixes and removal of textual inversion mentions from SDXL docs are unrelated." + }, + { + "left": "pull_request:4632", + "right": "pull_request:5393", + "accept": false, + "reason": "Checkpointing/casting fixes in an SDXL LoRA training script and a generic HFApi docs update are not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 209, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10633", + "pull_request:11017", + "pull_request:11421", + "pull_request:11645", + "pull_request:1256", + "pull_request:1258", + "pull_request:12618", + "pull_request:1282", + "pull_request:13164", + "pull_request:2040", + "pull_request:241", + "pull_request:2994", + "pull_request:3137", + "pull_request:3189", + "pull_request:4352", + "pull_request:4617", + "pull_request:4783", + "pull_request:4793", + "pull_request:4833", + "pull_request:4910", + "pull_request:4927", + "pull_request:5057", + "pull_request:5085", + "pull_request:5407", + "pull_request:5506", + "pull_request:5615", + "pull_request:5813", + "pull_request:6099", + "pull_request:6208", + "pull_request:6787", + "pull_request:6841", + "pull_request:6893", + "pull_request:7134", + "pull_request:7213", + "pull_request:7632", + "pull_request:8616", + "pull_request:8685", + "pull_request:8702", + "pull_request:8722", + "pull_request:9049", + "pull_request:9065", + "pull_request:9175", + "pull_request:9311", + "pull_request:9423", + "pull_request:9569", + "pull_request:9918", + "pull_request:9988" + ], + "soft_pairs": [ + "pull_request:4783|pull_request:5813", + "pull_request:4833|pull_request:6099", + "pull_request:4910|pull_request:5407", + "pull_request:4927|pull_request:5615", + "pull_request:5085|pull_request:5506", + "pull_request:6208|pull_request:6787", + "pull_request:6841|pull_request:8702", + "pull_request:6841|pull_request:9065", + "pull_request:6893|pull_request:8722", + "pull_request:7134|pull_request:7213", + "pull_request:7632|pull_request:9569", + "pull_request:8685|pull_request:9918", + "pull_request:9049|pull_request:9988", + "pull_request:2040|pull_request:241", + "pull_request:4617|pull_request:5057", + "pull_request:8616|pull_request:9423", + "pull_request:9175|pull_request:9311", + "pull_request:10633|pull_request:11017", + "pull_request:11421|pull_request:11645", + "pull_request:1256|pull_request:1258", + "pull_request:12618|pull_request:13164", + "pull_request:1282|pull_request:2994", + "pull_request:3137|pull_request:3189", + "pull_request:4352|pull_request:4793" + ], + "prepared_review_unit_hash": "2692f1ba7b1d6999a04690a92e80ffb4bea7734d71d5d01c728562b49f3938b2", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 97043, + "estimated_input_tokens": 24261, + "estimated_eval_tokens": 48778 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly unrelated PRs that only look similar on title or broad subsystem; I accepted just one true duplicate-style pair in the negative-prompt test changes.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1258 is the best canonical representative of the only real duplicate pair: it makes the negative prompt handling explicit via a named keyword argument, matching the same test change as 1256.", + "best_issue_reason": null, + "best_pr_reason": "PR 1258 is the clearest representative here because it directly duplicates 1256 with the same test intent and the cleaner implementation.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4783", + "right": "pull_request:5813", + "accept": false, + "reason": "Different changes: SDXL CFG-cutoff docs vs loader API docs restructuring." + }, + { + "left": "pull_request:4833", + "right": "pull_request:6099", + "accept": false, + "reason": "Unrelated fixes in different areas: LoRA unfuse behavior vs TextToVideoZero constructor args." + }, + { + "left": "pull_request:4910", + "right": "pull_request:5407", + "accept": false, + "reason": "One is an inpainting docs typo fix; the other is mixed-precision training example logic." + }, + { + "left": "pull_request:4927", + "right": "pull_request:5615", + "accept": false, + "reason": "Both are reverts, but they revert different features in different pipelines and code paths." + }, + { + "left": "pull_request:5085", + "right": "pull_request:5506", + "accept": false, + "reason": "LoRA/offloading compatibility fix is not the same bug as the xformers+PEFT attention scaling error." + }, + { + "left": "pull_request:6208", + "right": "pull_request:6787", + "accept": false, + "reason": "Different concrete bugs: VAE dtype mismatch in Stable Diffusion vs input value-range normalization in Marigold depth estimation." + }, + { + "left": "pull_request:6841", + "right": "pull_request:8702", + "accept": false, + "reason": "General attention/block API restoration vs an SD3 conversion script; no shared fix scope." + }, + { + "left": "pull_request:6841", + "right": "pull_request:9065", + "accept": false, + "reason": "BasicTransformerBlock parameter restoration is unrelated to adding sentencepiece soft-dependency support." + }, + { + "left": "pull_request:6893", + "right": "pull_request:8722", + "accept": false, + "reason": "3D UNet attention wiring refactor and embeddings package refactor are distinct code changes." + }, + { + "left": "pull_request:7134", + "right": "pull_request:7213", + "accept": false, + "reason": "Type-hint cleanup in UNet is unrelated to docs for merging LoRAs." + }, + { + "left": "pull_request:7632", + "right": "pull_request:9569", + "accept": false, + "reason": "DreamBooth VAE loading fix and CogVideoX autoencoder decode fix address different failures." + }, + { + "left": "pull_request:8685", + "right": "pull_request:9918", + "accept": false, + "reason": "Float8 note in SD3 docs is unrelated to the server example addition." + }, + { + "left": "pull_request:9049", + "right": "pull_request:9988", + "accept": false, + "reason": "Both touch Flux, but one is a narrow encode_prompt dtype fix while the other is a broader Flux Redux feature/change set." + }, + { + "left": "pull_request:2040", + "right": "pull_request:241", + "accept": false, + "reason": "InstructPix2Pix pipeline implementation and an inpainting example script are separate additions." + }, + { + "left": "pull_request:4617", + "right": "pull_request:5057", + "accept": false, + "reason": "The encode_prompt refactor is broader infrastructure work; clip-skip support in SDXL is a different feature and code path." + }, + { + "left": "pull_request:8616", + "right": "pull_request:9423", + "accept": false, + "reason": "LoRA fusion for SD3 and Differential Diffusion for Kolors are unrelated changes." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9311", + "accept": false, + "reason": "Flux ControlNet support and SDXL ControlNet CFG cutoff are different ControlNet features and not mergeable as one fix." + }, + { + "left": "pull_request:10633", + "right": "pull_request:11017", + "accept": false, + "reason": "Flux docs example vs hybrid-inference VAE encode docs/code; no shared underlying bug or change." + }, + { + "left": "pull_request:11421", + "right": "pull_request:11645", + "accept": false, + "reason": "Dreambooth interpolation default and torch-disabled version handling are unrelated maintenance fixes." + }, + { + "left": "pull_request:1256", + "right": "pull_request:1258", + "accept": true, + "reason": "Same test change for negative prompts; 1258 is the clearer form with an explicit negative_prompt keyword and matches 1256's intent." + }, + { + "left": "pull_request:12618", + "right": "pull_request:13164", + "accept": false, + "reason": "CI uv-install typo fix and CI test-dependency removal are separate workflow changes." + }, + { + "left": "pull_request:1282", + "right": "pull_request:2994", + "accept": false, + "reason": "Docs link fix vs ControlNet training type-casting bug; unrelated scope." + }, + { + "left": "pull_request:3137", + "right": "pull_request:3189", + "accept": false, + "reason": "UNet class-label dtype casting and AudioLDM waveform dtype are different model-specific fixes." + }, + { + "left": "pull_request:4352", + "right": "pull_request:4793", + "accept": false, + "reason": "Kandinsky combined-pipeline memory/offload methods and auto_pipeline kwargs propagation are unrelated issues." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the lone accepted pair (1256/1258) is a plausible same-bugfix duplicate in the same test file. The rejected soft-edge pairs are conservative overall and do not overstate mergeability." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 210, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10056", + "pull_request:10630", + "pull_request:10983", + "pull_request:11475", + "pull_request:11485", + "pull_request:11588", + "pull_request:11786", + "pull_request:11979", + "pull_request:11994", + "pull_request:11995", + "pull_request:12041", + "pull_request:12249", + "pull_request:12330", + "pull_request:1327", + "pull_request:1355", + "pull_request:1458", + "pull_request:1470", + "pull_request:2385", + "pull_request:241", + "pull_request:2557", + "pull_request:3351", + "pull_request:4461", + "pull_request:4712", + "pull_request:4714", + "pull_request:5021", + "pull_request:5085", + "pull_request:5115", + "pull_request:5261", + "pull_request:5299", + "pull_request:5823", + "pull_request:5880", + "pull_request:6236", + "pull_request:6424", + "pull_request:6673", + "pull_request:7062", + "pull_request:7158", + "pull_request:7216", + "pull_request:7632", + "pull_request:7924", + "pull_request:821", + "pull_request:823", + "pull_request:8688", + "pull_request:8722", + "pull_request:8952", + "pull_request:9099", + "pull_request:9473", + "pull_request:9638", + "pull_request:9838" + ], + "soft_pairs": [ + "pull_request:5021|pull_request:7216", + "pull_request:5085|pull_request:5823", + "pull_request:5299|pull_request:6236", + "pull_request:5880|pull_request:7632", + "pull_request:6673|pull_request:7062", + "pull_request:8722|pull_request:8952", + "pull_request:9099|pull_request:9638", + "pull_request:9473|pull_request:9838", + "pull_request:10056|pull_request:11485", + "pull_request:11475|pull_request:11994", + "pull_request:11979|pull_request:12330", + "pull_request:1327|pull_request:821", + "pull_request:1458|pull_request:823", + "pull_request:1470|pull_request:2557", + "pull_request:11485|pull_request:12041", + "pull_request:1355|pull_request:241", + "pull_request:4461|pull_request:5115", + "pull_request:7158|pull_request:8688", + "pull_request:10630|pull_request:11786", + "pull_request:4712|pull_request:6673", + "pull_request:4714|pull_request:5261", + "pull_request:10983|pull_request:11588", + "pull_request:11995|pull_request:12249", + "pull_request:6424|pull_request:7924", + "pull_request:2385|pull_request:3351" + ], + "prepared_review_unit_hash": "853e1f83daebd40f7fcec92787c0326ebf8b5e7ef333fa0cefd1e27f64f9a598", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 101838, + "estimated_input_tokens": 25460, + "estimated_eval_tokens": 51176 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of unrelated PRs with only superficial title/diff similarity (pipeline additions, scheduler test updates, docs, LoRA, controlnet, etc.). None of the soft pairs look like the same underlying bug or change, so no duplicate edges should be accepted.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11995 is the strongest standalone representative in this PR-only set: it is a substantial merged feature PR with a clear scope and meaningful implementation, unlike the many narrowly scoped or purely test/doc fixes.", + "best_issue_reason": null, + "best_pr_reason": "If one PR must serve as the cluster anchor, #11995 is the best fit because it is large, self-contained, and well-discussed. That said, the cluster is heterogeneous, so it is not a true duplicate canonicalization target.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5021", + "right": "pull_request:7216", + "accept": false, + "reason": "Different changes: scheduler mapping doc update vs. conversion loader signature expansion." + }, + { + "left": "pull_request:5085", + "right": "pull_request:5823", + "accept": false, + "reason": "Both involve LoRA, but one fixes offloading incompatibility while the other adds adapter-name support for fusing; different code-path problems." + }, + { + "left": "pull_request:5299", + "right": "pull_request:6236", + "accept": false, + "reason": "Unrelated: typehints/docs in models vs. a ControlNet inpainting doc example fix." + }, + { + "left": "pull_request:5880", + "right": "pull_request:7632", + "accept": false, + "reason": "Both touch VAEs, but one is about latent-diffusion compatibility across many pipelines and the other is a DreamBooth VAE loading path fix." + }, + { + "left": "pull_request:6673", + "right": "pull_request:7062", + "accept": false, + "reason": "Different artifacts: InstantID pipeline addition vs. imagic docstring cleanup." + }, + { + "left": "pull_request:8722", + "right": "pull_request:8952", + "accept": false, + "reason": "Core refactor vs. QKV fusion feature work; not the same bug or change." + }, + { + "left": "pull_request:9099", + "right": "pull_request:9638", + "accept": false, + "reason": "Both are controlnet-related, but they target different model families and implementation paths." + }, + { + "left": "pull_request:9473", + "right": "pull_request:9838", + "accept": false, + "reason": "Different Flux DreamBooth training fixes; one adjusts LR handling for T5/prodigy, the other fixes custom-prompt repetition/memory behavior." + }, + { + "left": "pull_request:10056", + "right": "pull_request:11485", + "accept": false, + "reason": "Different features: Flux Redux prompt/image input support vs. adding a Flex.2 preview pipeline." + }, + { + "left": "pull_request:11475", + "right": "pull_request:11994", + "accept": false, + "reason": "WAN recompilation fix vs. CI marker/workflow changes; no shared concrete bug." + }, + { + "left": "pull_request:11979", + "right": "pull_request:12330", + "accept": false, + "reason": "Torch-version gating in compilation tests is unrelated to cleaning group-offloading tests." + }, + { + "left": "pull_request:1327", + "right": "pull_request:821", + "accept": false, + "reason": "Local custom-pipeline loading vs. an all-in-one Stable Diffusion community pipeline are unrelated features." + }, + { + "left": "pull_request:1458", + "right": "pull_request:823", + "accept": false, + "reason": "ONNX runtime candidate detection vs. negative-prompt type checking; no shared issue." + }, + { + "left": "pull_request:1470", + "right": "pull_request:2557", + "accept": false, + "reason": "Alt-diffusion DreamBooth compatibility is unrelated to adding intermediate logging." + }, + { + "left": "pull_request:11485", + "right": "pull_request:12041", + "accept": false, + "reason": "A new Flex.2 pipeline vs. WAN VAE patch fixes are different model/features." + }, + { + "left": "pull_request:1355", + "right": "pull_request:241", + "accept": false, + "reason": "Flax img2img pipeline addition vs. an inpainting example script; same broad area, different artifacts and code paths." + }, + { + "left": "pull_request:4461", + "right": "pull_request:5115", + "accept": false, + "reason": "Both update a conversion script, but they add different CLI arguments for different behaviors and are not the same fix." + }, + { + "left": "pull_request:7158", + "right": "pull_request:8688", + "accept": false, + "reason": "Benchmark test cleanup vs. LoRA DoRA conversion logic; unrelated." + }, + { + "left": "pull_request:10630", + "right": "pull_request:11786", + "accept": false, + "reason": "Flax test slice adjustments vs. CI marker/workflow changes; only both are test-related at a very high level." + }, + { + "left": "pull_request:4712", + "right": "pull_request:6673", + "accept": false, + "reason": "Adding a test-fetcher utility is unrelated to adding an InstantID pipeline." + }, + { + "left": "pull_request:4714", + "right": "pull_request:5261", + "accept": false, + "reason": "Bad missing-transformers error handling vs. scheduler callback-step fixes are different concerns." + }, + { + "left": "pull_request:10983", + "right": "pull_request:11588", + "accept": false, + "reason": "Both touch video/image generation support, but they target different models and different feature areas." + }, + { + "left": "pull_request:11995", + "right": "pull_request:12249", + "accept": false, + "reason": "Modular Flux T2I plumbing vs. Step1X-Edit pipeline addition; both are large feature additions, not the same one." + }, + { + "left": "pull_request:6424", + "right": "pull_request:7924", + "accept": false, + "reason": "PixArt weight conversion bug vs. SDXL ControlNet inpaint IP-Adapter condition handling; unrelated." + }, + { + "left": "pull_request:2385", + "right": "pull_request:3351", + "accept": false, + "reason": "A Pix2Pix-Zero utility addition vs. scheduler Karras-sigmas support; different subsystems and bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 211, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1", + "pull_request:10005", + "pull_request:10058", + "pull_request:10069", + "pull_request:10086", + "pull_request:101", + "pull_request:10109", + "pull_request:10867", + "pull_request:10970", + "pull_request:11130", + "pull_request:11231", + "pull_request:11564", + "pull_request:11660", + "pull_request:11797", + "pull_request:12024", + "pull_request:12074", + "pull_request:12109", + "pull_request:12119", + "pull_request:12387", + "pull_request:12584", + "pull_request:12723", + "pull_request:12897", + "pull_request:12919", + "pull_request:13063", + "pull_request:13208", + "pull_request:2129", + "pull_request:2721", + "pull_request:2954", + "pull_request:3386", + "pull_request:3476", + "pull_request:4098", + "pull_request:428", + "pull_request:5298", + "pull_request:5440", + "pull_request:7", + "pull_request:7359", + "pull_request:7541", + "pull_request:8412", + "pull_request:8425", + "pull_request:8640", + "pull_request:8739", + "pull_request:9099", + "pull_request:9286", + "pull_request:9507", + "pull_request:9542", + "pull_request:9573", + "pull_request:9988" + ], + "soft_pairs": [ + "pull_request:5298|pull_request:5440", + "pull_request:7359|pull_request:8739", + "pull_request:7541|pull_request:8640", + "pull_request:2129|pull_request:2954", + "pull_request:9099|pull_request:9573", + "pull_request:13063|pull_request:13208", + "pull_request:11130|pull_request:11797", + "pull_request:10867|pull_request:9542", + "pull_request:2721|pull_request:3476", + "pull_request:3386|pull_request:4098", + "pull_request:12109|pull_request:12119", + "pull_request:12584|pull_request:12723", + "pull_request:11231|pull_request:12119", + "pull_request:11660|pull_request:12387", + "pull_request:12024|pull_request:12074", + "pull_request:9507|pull_request:9988", + "pull_request:12897|pull_request:12919", + "pull_request:1|pull_request:7", + "pull_request:10005|pull_request:11564", + "pull_request:10058|pull_request:8412", + "pull_request:10069|pull_request:10970", + "pull_request:10086|pull_request:8425", + "pull_request:101|pull_request:428", + "pull_request:10109|pull_request:9286" + ], + "prepared_review_unit_hash": "7deb88d72387f13fa8da1be3b6941506f33125164e0193bd5218a05dcfd6499e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 104377, + "estimated_input_tokens": 26095, + "estimated_eval_tokens": 52446 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The proposed soft edges are overwhelmingly false positives: the PRs share broad keywords or subsystems, but they address different bugs/features, usually in different files and code paths. This set is not a coherent duplicate cluster.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is canonical here because the items are not duplicates of one another; they span unrelated work across docs, schedulers, quantization, pipelines, loaders, and model additions.", + "best_issue_reason": null, + "best_pr_reason": "No PR is a good global representative for this cluster, since there is no single underlying change to collapse to.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5298", + "right": "pull_request:5440", + "accept": false, + "reason": "Different fixes: LoRA conv torch.compile behavior vs local single-file loading; no shared code-path or bug." + }, + { + "left": "pull_request:7359", + "right": "pull_request:8739", + "accept": false, + "reason": "Different work items: ResAdapter training script vs ConsistencyTTA community pipeline; only both are community examples." + }, + { + "left": "pull_request:7541", + "right": "pull_request:8640", + "accept": false, + "reason": "One changes nightly workflow dispatching; the other relaxes a Flax test tolerance. No common underlying issue." + }, + { + "left": "pull_request:2129", + "right": "pull_request:2954", + "accept": false, + "reason": "Different model-editing and text-to-video pipeline additions; same broad docs/pipeline area but not the same change." + }, + { + "left": "pull_request:9099", + "right": "pull_request:9573", + "accept": false, + "reason": "Both touch SD3 controlnet inpainting, but 9099 adds support while 9573 changes shape/divisibility validation. Separate issues." + }, + { + "left": "pull_request:13063", + "right": "pull_request:13208", + "accept": false, + "reason": "Different modular refactors: Wan modular pipeline rewrite vs Helios pipeline addition. Not the same concrete change." + }, + { + "left": "pull_request:11130", + "right": "pull_request:11797", + "accept": false, + "reason": "Both are quantization-related, but 11130 adds pipeline-level quantization config while 11797 adds Higgs quantization support. Different code paths." + }, + { + "left": "pull_request:10867", + "right": "pull_request:9542", + "accept": false, + "reason": "Both involve LoRA conversion, but one adds multi-IP-Adapter Flux support and the other adds Kohya Flux LoRA text-encoder handling. Not duplicates." + }, + { + "left": "pull_request:2721", + "right": "pull_request:3476", + "accept": false, + "reason": "Model editing pipeline vs scheduler Karras-sigmas support; unrelated features." + }, + { + "left": "pull_request:3386", + "right": "pull_request:4098", + "accept": false, + "reason": "ControlNet refactor/add img2img/inpaint vs SDXL inpainting; same area, but different pipelines and changes." + }, + { + "left": "pull_request:12109", + "right": "pull_request:12119", + "accept": false, + "reason": "UniPC scheduler custom sigma/timestep support vs Qwen-Image Lightning LoRA loading; unrelated." + }, + { + "left": "pull_request:12584", + "right": "pull_request:12723", + "accept": false, + "reason": "Both concern SANA video, but one adds a 5s pretrained inference pipeline and the other adds LongSANA/minute-length video support. Different model variants and pipelines." + }, + { + "left": "pull_request:11231", + "right": "pull_request:12119", + "accept": false, + "reason": "HiDream image model/pipeline addition vs Qwen-Image Lightning LoRA loading; no shared bug or code path." + }, + { + "left": "pull_request:11660", + "right": "pull_request:12387", + "accept": false, + "reason": "HiDream LoRA support draft vs flash attention backend through kernels; unrelated subsystems." + }, + { + "left": "pull_request:12024", + "right": "pull_request:12074", + "accept": false, + "reason": "Wan follow-up bugfix vs Wan 2.2 LoRA support and second-transformer loading. Related project area, but different concrete changes." + }, + { + "left": "pull_request:9507", + "right": "pull_request:9988", + "accept": false, + "reason": "Flux controlnet batch/control-mode fix vs Flux Redux pipeline/model additions; not the same bug and not mergeable as one fix." + }, + { + "left": "pull_request:12897", + "right": "pull_request:12919", + "accept": false, + "reason": "NPU pos-embed improvement in Flux vs NPU attention backend enablement. Same hardware theme, but distinct changes." + }, + { + "left": "pull_request:1", + "right": "pull_request:7", + "accept": false, + "reason": "Initial GLIDE model files vs initial VQ-VAE addition; both early bootstrap PRs, but unrelated components." + }, + { + "left": "pull_request:10005", + "right": "pull_request:11564", + "accept": false, + "reason": "Docs-only pipeline spec additions vs adding prodigy dependencies for dreambooth. Not the same underlying issue." + }, + { + "left": "pull_request:10058", + "right": "pull_request:8412", + "accept": false, + "reason": "Both touch docs links/single-file docs, but 10058 is a link fix and 8412 is a broader single-file documentation rewrite." + }, + { + "left": "pull_request:10069", + "right": "pull_request:10970", + "accept": false, + "reason": "BnB quantizer device handling vs style-bot workflow migration; entirely different areas." + }, + { + "left": "pull_request:10086", + "right": "pull_request:8425", + "accept": false, + "reason": "StableDiffusion3 skip-guidance bugfix vs workflow rename for mirror_community_pipeline; no relation." + }, + { + "left": "pull_request:101", + "right": "pull_request:428", + "accept": false, + "reason": "Core library bootstrap PR vs docs-only diffusers usage overhaul; same repo history, not the same change." + }, + { + "left": "pull_request:10109", + "right": "pull_request:9286", + "accept": false, + "reason": "Torch XLA support in Stable Audio vs exporting FluxMultiControlNetModel in __init__.py; unrelated changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 212, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10114", + "pull_request:10115", + "pull_request:10119", + "pull_request:10126", + "pull_request:10140", + "pull_request:10148", + "pull_request:1017", + "pull_request:10188", + "pull_request:10197", + "pull_request:102", + "pull_request:1020", + "pull_request:10206", + "pull_request:10218", + "pull_request:10220", + "pull_request:10245", + "pull_request:10246", + "pull_request:10251", + "pull_request:1027", + "pull_request:10293", + "pull_request:10312", + "pull_request:10358", + "pull_request:10506", + "pull_request:10651", + "pull_request:10730", + "pull_request:11096", + "pull_request:11129", + "pull_request:11475", + "pull_request:11531", + "pull_request:11635", + "pull_request:11647", + "pull_request:1885", + "pull_request:2007", + "pull_request:2322", + "pull_request:3172", + "pull_request:3230", + "pull_request:628", + "pull_request:70", + "pull_request:8497", + "pull_request:8600", + "pull_request:8627", + "pull_request:8774", + "pull_request:9021", + "pull_request:9036", + "pull_request:9116", + "pull_request:9266", + "pull_request:9709", + "pull_request:9769", + "pull_request:9893" + ], + "soft_pairs": [ + "pull_request:10114|pull_request:10730", + "pull_request:10114|pull_request:11475", + "pull_request:10115|pull_request:8497", + "pull_request:10119|pull_request:10245", + "pull_request:10126|pull_request:8774", + "pull_request:10140|pull_request:9769", + "pull_request:10148|pull_request:9893", + "pull_request:1017|pull_request:1885", + "pull_request:10188|pull_request:10506", + "pull_request:10197|pull_request:11096", + "pull_request:10197|pull_request:11129", + "pull_request:10197|pull_request:11531", + "pull_request:10197|pull_request:8600", + "pull_request:10197|pull_request:9266", + "pull_request:102|pull_request:2007", + "pull_request:102|pull_request:70", + "pull_request:1020|pull_request:2322", + "pull_request:1020|pull_request:3172", + "pull_request:1020|pull_request:628", + "pull_request:10206|pull_request:8627", + "pull_request:10218|pull_request:9036", + "pull_request:10218|pull_request:9116", + "pull_request:10220|pull_request:11635", + "pull_request:10245|pull_request:10358", + "pull_request:10246|pull_request:11647", + "pull_request:10251|pull_request:9021", + "pull_request:1027|pull_request:3230", + "pull_request:1027|pull_request:628", + "pull_request:10293|pull_request:9709", + "pull_request:10312|pull_request:10651" + ], + "prepared_review_unit_hash": "45d7b0e67ce0614c2ff66351f0c91eba33c748f7de90e96a6ff7878f3c291f22", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 99259, + "estimated_input_tokens": 24815, + "estimated_eval_tokens": 49886 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The candidate PRs are a heterogeneous mix of unrelated docs, CI, model additions, and small bugfixes. None of the soft-edge pairs look like the same underlying change or bug, so all should be rejected as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:10114", + "right": "pull_request:10730", + "accept": false, + "reason": "Formatting-only Stable Audio edit vs hook unwrapping logic in pipeline_utils; unrelated changes." + }, + { + "left": "pull_request:10114", + "right": "pull_request:11475", + "accept": false, + "reason": "Stable Audio whitespace cleanup vs WAN recompilation fix; different code paths." + }, + { + "left": "pull_request:10115", + "right": "pull_request:8497", + "accept": false, + "reason": "Flux positional embedding bug fix vs a spelling/doc tweak in a scheduler; not the same issue." + }, + { + "left": "pull_request:10119", + "right": "pull_request:10245", + "accept": false, + "reason": "Docs for load_lora_adapter vs docs for delete_adapters; different API surface and intent." + }, + { + "left": "pull_request:10126", + "right": "pull_request:8774", + "accept": false, + "reason": "Deprecating save_attn_procs vs introducing LoraBaseMixin; related LoRA area but different changes." + }, + { + "left": "pull_request:10140", + "right": "pull_request:9769", + "accept": false, + "reason": "ConsisID core addition vs Mochi T2V core addition; separate model families." + }, + { + "left": "pull_request:10148", + "right": "pull_request:9893", + "accept": false, + "reason": "OmniGen model/pipeline addition vs SDXL ControlNet reference community pipeline; unrelated features." + }, + { + "left": "pull_request:1017", + "right": "pull_request:1885", + "accept": false, + "reason": "Dreambooth type annotation fix vs Dreambooth-inpaint epoch typo; different scripts and bugs." + }, + { + "left": "pull_request:10188", + "right": "pull_request:10506", + "accept": false, + "reason": "Flux LoRA load/expand error handling vs TorchAO sequential CPU offload test; unrelated functionality." + }, + { + "left": "pull_request:10197", + "right": "pull_request:11096", + "accept": false, + "reason": "TPU CI workflow changes vs Flux TPU README docs; different artifact types and purposes." + }, + { + "left": "pull_request:10197", + "right": "pull_request:11129", + "accept": false, + "reason": "TPU CI workflow changes vs modeling import cleanup across transformers; unrelated." + }, + { + "left": "pull_request:10197", + "right": "pull_request:11531", + "accept": false, + "reason": "TPU CI workflow changes vs inpaint documentation update; unrelated." + }, + { + "left": "pull_request:10197", + "right": "pull_request:8600", + "accept": false, + "reason": "TPU CI workflow changes vs SD3 DreamBooth cleanup; unrelated code paths." + }, + { + "left": "pull_request:10197", + "right": "pull_request:9266", + "accept": false, + "reason": "TPU CI workflow changes vs community projects docs entry; unrelated." + }, + { + "left": "pull_request:102", + "right": "pull_request:2007", + "accept": false, + "reason": "Training example README update vs Black formatting sweep; not the same underlying change." + }, + { + "left": "pull_request:102", + "right": "pull_request:70", + "accept": false, + "reason": "Example docs update vs early attention/unet refactor; unrelated." + }, + { + "left": "pull_request:1020", + "right": "pull_request:2322", + "accept": false, + "reason": "Docs/training overview update vs inpaint example update; separate docs/examples." + }, + { + "left": "pull_request:1020", + "right": "pull_request:3172", + "accept": false, + "reason": "Training docs update vs reproducibility docs update; different topics." + }, + { + "left": "pull_request:1020", + "right": "pull_request:628", + "accept": false, + "reason": "Training docs update vs index colab link change; not the same bug/change." + }, + { + "left": "pull_request:10206", + "right": "pull_request:8627", + "accept": false, + "reason": "Flux unload_lora_weights implementation vs SD3 ControlNet test-size reduction; unrelated." + }, + { + "left": "pull_request:10218", + "right": "pull_request:9036", + "accept": false, + "reason": "ControlNetUnion callback tensor inputs fix vs nightly dependency pinning; unrelated." + }, + { + "left": "pull_request:10218", + "right": "pull_request:9116", + "accept": false, + "reason": "ControlNetUnion callback tensor inputs fix vs dead-link docs fix; unrelated." + }, + { + "left": "pull_request:10220", + "right": "pull_request:11635", + "accept": false, + "reason": "Mochi test rename vs Flux Kontext feature addition; unrelated." + }, + { + "left": "pull_request:10245", + "right": "pull_request:10358", + "accept": false, + "reason": "PEFT adapter docs update vs community projects docs entry; unrelated documentation changes." + }, + { + "left": "pull_request:10246", + "right": "pull_request:11647", + "accept": false, + "reason": "AttnProcessor docs/code additions vs Finegrained FP8 feature addition; different subsystems." + }, + { + "left": "pull_request:10251", + "right": "pull_request:9021", + "accept": false, + "reason": "Regional prompting typo fix vs SD3ControlNet from_transformer bug fix; unrelated bugs." + }, + { + "left": "pull_request:1027", + "right": "pull_request:3230", + "accept": false, + "reason": "DDPM dataloader option example fix vs IF model/pipeline introduction; unrelated." + }, + { + "left": "pull_request:1027", + "right": "pull_request:628", + "accept": false, + "reason": "DDPM example CLI option change vs unrelated README colab link tweak." + }, + { + "left": "pull_request:10293", + "right": "pull_request:9709", + "accept": false, + "reason": "TorchAO minimum-version bump vs torch max-version pin; opposite dependency constraints and different packages." + }, + { + "left": "pull_request:10312", + "right": "pull_request:10651", + "accept": false, + "reason": "Attention reshape bug fix vs Lumina input validation fix; different code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 213, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10318", + "pull_request:10324", + "pull_request:10332", + "pull_request:10351", + "pull_request:10364", + "pull_request:1041", + "pull_request:10420", + "pull_request:1043", + "pull_request:10481", + "pull_request:10497", + "pull_request:10502", + "pull_request:10506", + "pull_request:10537", + "pull_request:10544", + "pull_request:10548", + "pull_request:10554", + "pull_request:10576", + "pull_request:10579", + "pull_request:10622", + "pull_request:10852", + "pull_request:10889", + "pull_request:10898", + "pull_request:11004", + "pull_request:11124", + "pull_request:11196", + "pull_request:11249", + "pull_request:11262", + "pull_request:11319", + "pull_request:11564", + "pull_request:11841", + "pull_request:21", + "pull_request:22", + "pull_request:268", + "pull_request:2759", + "pull_request:3108", + "pull_request:545", + "pull_request:828", + "pull_request:886", + "pull_request:8932", + "pull_request:8964", + "pull_request:8973", + "pull_request:9077", + "pull_request:9244", + "pull_request:9709", + "pull_request:9739", + "pull_request:9821", + "pull_request:9827" + ], + "soft_pairs": [ + "pull_request:10318|pull_request:11004", + "pull_request:10324|pull_request:11124", + "pull_request:10332|pull_request:11564", + "pull_request:10351|pull_request:11196", + "pull_request:10351|pull_request:8964", + "pull_request:10364|pull_request:11249", + "pull_request:1041|pull_request:268", + "pull_request:1041|pull_request:2759", + "pull_request:1041|pull_request:3108", + "pull_request:1041|pull_request:886", + "pull_request:10420|pull_request:9077", + "pull_request:1043|pull_request:21", + "pull_request:1043|pull_request:22", + "pull_request:1043|pull_request:545", + "pull_request:1043|pull_request:828", + "pull_request:10481|pull_request:10537", + "pull_request:10497|pull_request:9709", + "pull_request:10502|pull_request:10579", + "pull_request:10506|pull_request:11196", + "pull_request:10506|pull_request:8932", + "pull_request:10506|pull_request:8973", + "pull_request:10544|pull_request:11319", + "pull_request:10548|pull_request:10554", + "pull_request:10548|pull_request:9077", + "pull_request:10548|pull_request:9739", + "pull_request:10554|pull_request:10852", + "pull_request:10554|pull_request:10889", + "pull_request:10554|pull_request:11262", + "pull_request:10576|pull_request:9821", + "pull_request:10576|pull_request:9827", + "pull_request:10579|pull_request:10898", + "pull_request:10579|pull_request:9244", + "pull_request:10622|pull_request:11841" + ], + "prepared_review_unit_hash": "1c8ce04919b5aea424b86dd68f0f61a15b716fb6db2c88394a22cbec5071dc02", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 33, + "serialized_chars": 91036, + "estimated_input_tokens": 22759, + "estimated_eval_tokens": 45774 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated docs, tests, CI, feature, and bugfix PRs across many subsystems. No soft edge looks like the same concrete change or bug, so all candidates should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR fits here; the items are heterogeneous and do not share one underlying fix or feature.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good cluster representative because the set spans unrelated changes rather than one duplicate thread.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10318", + "right": "pull_request:11004", + "accept": false, + "reason": "Unrelated LoRA integration tests vs PEFT loader prefix cleanup; different code paths and goals." + }, + { + "left": "pull_request:10324", + "right": "pull_request:11124", + "accept": false, + "reason": "Kandinsky CPU offload signature fix vs CogView4 test tokenizer swap; unrelated changes." + }, + { + "left": "pull_request:10332", + "right": "pull_request:11564", + "accept": false, + "reason": "Model-loading shape error message fix vs adding a dreambooth dependency; 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same file but different changes." + }, + { + "left": "pull_request:10497", + "right": "pull_request:9709", + "accept": false, + "reason": "Tokenizers install path fix vs torch version pinning; unrelated CI issues." + }, + { + "left": "pull_request:10502", + "right": "pull_request:10579", + "accept": false, + "reason": "Model output serialization metadata vs community-project documentation; unrelated." + }, + { + "left": "pull_request:10506", + "right": "pull_request:11196", + "accept": false, + "reason": "TorchAo offload test vs save_pretrained safetensors behavior; different bugs." + }, + { + "left": "pull_request:10506", + "right": "pull_request:8932", + "accept": false, + "reason": "TorchAo offload test vs temporal transformer test coverage; unrelated test additions." + }, + { + "left": "pull_request:10506", + "right": "pull_request:8973", + "accept": false, + "reason": "Offload test vs lumina model-size reduction; not the same change." + }, + { + "left": "pull_request:10544", + "right": "pull_request:11319", + "accept": false, + "reason": "ParaAttention docs vs community projects listing entry; 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Not the same code-path problem." + }, + { + "left": "pull_request:1133", + "right": "pull_request:703", + "accept": false, + "reason": "CI workflow change vs another CI workflow/cache tweak from a different target. Not clearly one duplicate change." + }, + { + "left": "pull_request:1133", + "right": "pull_request:885", + "accept": false, + "reason": "CI workflow change vs DPM encoder scheduler implementation. Different domain and intent." + }, + { + "left": "pull_request:11353", + "right": "pull_request:11546", + "accept": false, + "reason": "Wan-FLF2V support vs LoRA loader support for Hunyuan FramePack. Different pipelines and features." + }, + { + "left": "pull_request:11366", + "right": "pull_request:9938", + "accept": false, + "reason": "HiDream transformer output API change vs SDXL reference example update. Only superficial similarity around example/docs." + }, + { + "left": "pull_request:1147", + "right": "pull_request:2009", + "accept": false, + "reason": "Flax example text encoder loading from subfolder vs textual inversion loader support. Related ecosystem area, but different fixes and code paths." + }, + { + "left": "pull_request:11529", + "right": "pull_request:11531", + "accept": false, + "reason": "One PR is effectively a no-content doc update placeholder, the other adds a variant argument to inpaint docs. No duplicate evidence." + }, + { + "left": "pull_request:11537", + "right": "pull_request:11736", + "accept": false, + "reason": "Torch.compile test addition for UNet vs quantizer compileability API. Different layers of the stack and not mergeable as one PR." + }, + { + "left": "pull_request:11556", + "right": "pull_request:11841", + "accept": false, + "reason": "Regional compilation docs vs batch inference docs. Both docs, but unrelated topics." + }, + { + "left": "pull_request:11556", + "right": "pull_request:12586", + "accept": false, + "reason": "Regional compilation docs vs docs sidebar sorting. Not the same change." + }, + { + "left": "pull_request:11564", + "right": "pull_request:11747", + "accept": false, + "reason": "Dependency addition for DreamBooth Flux vs HiDream license header fix. Entirely different changes." + }, + { + "left": "pull_request:11566", + "right": "pull_request:11812", + "accept": false, + "reason": "Chroma-as-FLUX variant implementation vs Flux Kontext pipeline/features. Both Flux-related, but distinct model variants and code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 216, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11635", + "pull_request:11636", + "pull_request:11655", + "pull_request:11660", + "pull_request:11681", + "pull_request:11684", + "pull_request:11698", + "pull_request:11703", + "pull_request:11716", + "pull_request:11728", + "pull_request:11744", + "pull_request:118", + "pull_request:11812", + "pull_request:1182", + "pull_request:1184", + "pull_request:11847", + "pull_request:11869", + "pull_request:11875", + "pull_request:11891", + "pull_request:11894", + "pull_request:11897", + "pull_request:119", + "pull_request:11920", + "pull_request:11955", + "pull_request:12062", + "pull_request:12109", + "pull_request:12115", + "pull_request:12236", + "pull_request:12244", + "pull_request:12315", + "pull_request:12337", + "pull_request:12360", + "pull_request:12398", + "pull_request:12424", + "pull_request:12438", + "pull_request:12586", + "pull_request:12637", + "pull_request:12705", + "pull_request:12848", + "pull_request:1713", + "pull_request:1868", + "pull_request:1903", + "pull_request:1939", + "pull_request:217", + "pull_request:312", + "pull_request:38", + "pull_request:59", + "pull_request:75" + ], + "soft_pairs": [ + "pull_request:11635|pull_request:11920", + "pull_request:11635|pull_request:11955", + "pull_request:11636|pull_request:11875", + "pull_request:11655|pull_request:11684", + "pull_request:11660|pull_request:12109", + "pull_request:11681|pull_request:12315", + "pull_request:11698|pull_request:12398", + "pull_request:11703|pull_request:12244", + "pull_request:11716|pull_request:12424", + "pull_request:11716|pull_request:12438", + "pull_request:11728|pull_request:12586", + "pull_request:11744|pull_request:12848", + "pull_request:118|pull_request:1903", + "pull_request:118|pull_request:59", + "pull_request:11812|pull_request:11875", + "pull_request:11812|pull_request:12337", + "pull_request:1182|pull_request:1713", + "pull_request:1184|pull_request:38", + "pull_request:1184|pull_request:75", + "pull_request:11847|pull_request:12637", + "pull_request:11847|pull_request:12705", + "pull_request:11869|pull_request:12236", + "pull_request:11875|pull_request:12398", + "pull_request:11891|pull_request:12360", + "pull_request:11894|pull_request:12062", + "pull_request:11897|pull_request:12115", + "pull_request:119|pull_request:1868", + "pull_request:119|pull_request:1939", + "pull_request:119|pull_request:217", + "pull_request:119|pull_request:312" + ], + "prepared_review_unit_hash": "747dbfb0b7ad3d9b8a30269c62fc44a5999a1c822491c4053e260fedcbe674bf", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 98685, + "estimated_input_tokens": 24672, + "estimated_eval_tokens": 49600 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated docs-only updates, pipeline feature additions, scheduler/test tweaks, and CI/docker changes. I do not see a single underlying duplicate bug/change spanning the set, so soft-edge candidates should be rejected.", + "confidence": 0.36, + "canonical_issue_reason": null, + "canonical_pr_reason": "No PR cleanly represents the whole cluster; if one representative is needed, PR 11698 is the strongest anchor because it is the largest substantive feature PR, has an explicit issue target, and adds a full pipeline/model stack rather than a narrow doc or test tweak.", + "best_issue_reason": null, + "best_pr_reason": "PR 11698 is the best single representative of a meaningful, self-contained change in this set. 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too broad to be the same underlying change." + }, + { + "left": "pull_request:11681", + "right": "pull_request:12315", + "accept": false, + "reason": "Model/device_map docs and tests clarifications vs a broad test refactor across many LoRA tests." + }, + { + "left": "pull_request:11698", + "right": "pull_request:12398", + "accept": false, + "reason": "Chroma pipeline implementation vs Mirage pipeline implementation; separate model families and code paths." + }, + { + "left": "pull_request:11703", + "right": "pull_request:12244", + "accept": false, + "reason": "Both are docs/optimization oriented, but one adds quant/offloading guidance and the other removes Flax references; unrelated changes." + }, + { + "left": "pull_request:11716", + "right": "pull_request:12424", + "accept": false, + "reason": "LoRA metadata handling vs docker image definition fixes; no shared bug/change." + }, + { + "left": "pull_request:11716", + "right": "pull_request:12438", + "accept": false, + "reason": "LoRA metadata handling vs pipeline loading offload_state_dict behavior; related ecosystem area but different concrete problem." + }, + { + "left": "pull_request:11728", + "right": "pull_request:12586", + "accept": false, + "reason": "Doc builder dependency install changes vs doc toctree sorting; unrelated." + }, + { + "left": "pull_request:11744", + "right": "pull_request:12848", + "accept": false, + "reason": "Training script metadata support vs adding ChromaInpaintPipeline; different artifacts and goals." + }, + { + "left": "pull_request:118", + "right": "pull_request:1903", + "accept": false, + "reason": "Old pipeline rename/fix vs later SD2 depth2img comment cleanup; not the same underlying change." + }, + { + "left": "pull_request:118", + "right": "pull_request:59", + "accept": false, + "reason": "Both very old, but one is a pipeline rename/fix and the other is a resnet merge; unrelated." + }, + { + "left": "pull_request:11812", + "right": "pull_request:11875", + "accept": false, + "reason": "Flux Kontext pipeline addition vs auto-pipeline registration; 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unrelated." + }, + { + "left": "pull_request:11847", + "right": "pull_request:12705", + "accept": false, + "reason": "Wan single-file example fix vs typo cleanup across assorted files; different scope and purpose." + }, + { + "left": "pull_request:11869", + "right": "pull_request:12236", + "accept": false, + "reason": "GGUF CUDA-kernel support vs enabling hub-provided flash-attn kernels; both kernel-related but distinct backends and code paths." + }, + { + "left": "pull_request:11875", + "right": "pull_request:12398", + "accept": false, + "reason": "Auto-pipeline registration for Kontext vs Mirage pipeline implementation; unrelated features." + }, + { + "left": "pull_request:11891", + "right": "pull_request:12360", + "accept": false, + "reason": "Chroma docs typo fix vs Chroma pipeline docstring/behavior clarification; both Chroma docs but different concrete edits." + }, + { + "left": "pull_request:11894", + "right": "pull_request:12062", + "accept": false, + "reason": "Dependency pinning for CI vs GPU CI container options; 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they are different concrete implementations." + }, + { + "left": "pull_request:2959", + "right": "pull_request:3846", + "accept": false, + "reason": "A UNet3D test correction and a random-module seeding fix are unrelated." + }, + { + "left": "pull_request:2968", + "right": "pull_request:823", + "accept": false, + "reason": "Both adjust pipeline behavior, but one fixes post-processing placement and the other fixes negative-prompt type handling/tests; different code-path problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 226, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:2983", + "pull_request:299", + "pull_request:3022", + "pull_request:3042", + "pull_request:3068", + "pull_request:3069", + "pull_request:3108", + "pull_request:312", + "pull_request:3126", + "pull_request:3166", + "pull_request:3187", + "pull_request:3230", + "pull_request:325", + "pull_request:3252", + "pull_request:327", + "pull_request:3294", + "pull_request:3318", + "pull_request:3326", + "pull_request:3331", + "pull_request:3334", + "pull_request:3337", + "pull_request:3341", + "pull_request:3433", + "pull_request:344", + "pull_request:3471", + "pull_request:3474", + "pull_request:3806", + "pull_request:3894", + "pull_request:3924", + "pull_request:4034", + "pull_request:41", + "pull_request:4172", + "pull_request:4215", + "pull_request:432", + "pull_request:4508", + "pull_request:4690", + "pull_request:4741", + "pull_request:4746", + "pull_request:5239", + "pull_request:5242", + "pull_request:5506", + "pull_request:75", + "pull_request:800", + "pull_request:826", + "pull_request:909", + "pull_request:972", + "pull_request:975" + ], + "soft_pairs": [ + "pull_request:2983|pull_request:4508", + "pull_request:299|pull_request:800", + "pull_request:3022|pull_request:3474", + "pull_request:3042|pull_request:3924", + "pull_request:3068|pull_request:909", + "pull_request:3069|pull_request:909", + "pull_request:3108|pull_request:4741", + "pull_request:3108|pull_request:972", + "pull_request:3108|pull_request:975", + "pull_request:312|pull_request:41", + "pull_request:312|pull_request:432", + "pull_request:312|pull_request:75", + "pull_request:3126|pull_request:4034", + "pull_request:3166|pull_request:3326", + "pull_request:3187|pull_request:3230", + "pull_request:3230|pull_request:3894", + "pull_request:3230|pull_request:4172", + "pull_request:3230|pull_request:5239", + "pull_request:3230|pull_request:5242", + "pull_request:325|pull_request:344", + "pull_request:3252|pull_request:3471", + "pull_request:3252|pull_request:3806", + "pull_request:327|pull_request:826", + "pull_request:3294|pull_request:5506", + "pull_request:3318|pull_request:4746", + "pull_request:3326|pull_request:3331", + "pull_request:3334|pull_request:4215", + "pull_request:3337|pull_request:4690", + "pull_request:3341|pull_request:3433" + ], + "prepared_review_unit_hash": "343c1f1476866205fddce8f967c0c9d2ad03f6f06b2cdbafd5d5f82b143a1849", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 29, + "serialized_chars": 94087, + "estimated_input_tokens": 23522, + "estimated_eval_tokens": 47300 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of unrelated diffusers PRs: docs edits, type-hint cleanups, scheduler tweaks, example updates, and several distinct feature additions. 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It is not a universal canonical for the whole cluster, but it is the best single PR if one must be chosen.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7613", + "right": "pull_request:7615", + "accept": true, + "reason": "Same model-card standardization change for the SD15/SDXL LoRA training scripts; one looks like the final version of the same work." + }, + { + "left": "pull_request:5910", + "right": "pull_request:5911", + "accept": true, + "reason": "Same IPAdapterFull feature; 5911 is the merged follow-up/finalization of the same loader change." + }, + { + "left": "pull_request:6195", + "right": "pull_request:6721", + "accept": true, + "reason": "Both target the same AnimateDiff SDXL pipeline feature on the same issue and look like draft/final iterations of one implementation." + }, + { + "left": "pull_request:5299", + "right": "pull_request:5312", + "accept": true, + "reason": "Same documentation/typehint cleanup in diffusers/models; the diffs are overlapping refactors for the same maintenance task." + }, + { + "left": "pull_request:11426", + "right": "pull_request:11427", + "accept": true, + "reason": "Both add the same interpolation-mode option to closely related text-to-image training scripts and could plausibly have been one combined PR." + }, + { + "left": "pull_request:5065", + "right": "pull_request:5066", + "accept": true, + "reason": "Both are the same attention-processor typo fix family and overlap on the same underlying code change." + }, + { + "left": "pull_request:7865", + "right": "pull_request:7898", + "accept": false, + "reason": "They touch different tests and different model families; 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too broad to treat as duplicates." + }, + { + "left": "pull_request:9582", + "right": "pull_request:9583", + "accept": false, + "reason": "Pipeline output docs and import-utils docs are unrelated changes." + }, + { + "left": "pull_request:9582", + "right": "pull_request:9815", + "accept": false, + "reason": "No meaningful code-path overlap; one is pipeline output docs and the other is training-utils docs." + }, + { + "left": "pull_request:6766", + "right": "pull_request:6769", + "accept": false, + "reason": "Different utility modules and different path-handling patches." + }, + { + "left": "pull_request:6767", + "right": "pull_request:6769", + "accept": false, + "reason": "Separate module-level refactors; not the same underlying fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 238, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11431", + "pull_request:11455", + "pull_request:11465", + "pull_request:11471", + "pull_request:11472", + "pull_request:11491", + "pull_request:11511", + "pull_request:11512", + "pull_request:2046", + "pull_request:2383", + "pull_request:2384", + "pull_request:3633", + "pull_request:3952", + "pull_request:4595", + "pull_request:4596", + "pull_request:4659", + "pull_request:4661", + "pull_request:5382", + "pull_request:5506", + "pull_request:5614", + "pull_request:5697", + "pull_request:5725", + "pull_request:5744", + "pull_request:5748", + "pull_request:5906", + "pull_request:5914", + "pull_request:6208", + "pull_request:6241", + "pull_request:6259", + "pull_request:6525", + "pull_request:6526", + "pull_request:6556", + "pull_request:6558", + "pull_request:6576", + "pull_request:6577", + "pull_request:6654", + "pull_request:6655", + "pull_request:7072", + "pull_request:7233", + "pull_request:7235", + "pull_request:8916", + "pull_request:8919", + "pull_request:8932", + "pull_request:9591", + "pull_request:9706", + "pull_request:9707", + "pull_request:9714", + "pull_request:9715" + ], + "soft_pairs": [ + "pull_request:4659|pull_request:4661", + "pull_request:7233|pull_request:7235", + "pull_request:4595|pull_request:4596", + "pull_request:9707|pull_request:9714", + "pull_request:5725|pull_request:5748", + "pull_request:5906|pull_request:5914", + "pull_request:6208|pull_request:6259", + "pull_request:6241|pull_request:6259", + "pull_request:5725|pull_request:5744", + "pull_request:6208|pull_request:6241", + "pull_request:5382|pull_request:5614", + "pull_request:11455|pull_request:11465", + "pull_request:9591|pull_request:9706", + "pull_request:6558|pull_request:6576", + "pull_request:6654|pull_request:6655", + "pull_request:8916|pull_request:8919", + "pull_request:11431|pull_request:11512", + "pull_request:6526|pull_request:6576", + "pull_request:9714|pull_request:9715", + "pull_request:6526|pull_request:6577", + "pull_request:6576|pull_request:6577", + "pull_request:9707|pull_request:9715", + "pull_request:11431|pull_request:11511", + "pull_request:5506|pull_request:5697", + "pull_request:11471|pull_request:11491", + "pull_request:11511|pull_request:11512", + "pull_request:2383|pull_request:2384", + "pull_request:3633|pull_request:3952", + "pull_request:8919|pull_request:8932", + "pull_request:6526|pull_request:6556", + "pull_request:6556|pull_request:6576", + "pull_request:2046|pull_request:3633", + "pull_request:11471|pull_request:11472", + "pull_request:2046|pull_request:3952", + "pull_request:6525|pull_request:6526", + "pull_request:7072|pull_request:7233", + "pull_request:11472|pull_request:11491", + "pull_request:7072|pull_request:7235" + ], + "prepared_review_unit_hash": "2fdbbc79135c34f36997578bfd61521d93bb07a69353fa52f82398d9fec338a9", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 38, + "serialized_chars": 102942, + "estimated_input_tokens": 25736, + "estimated_eval_tokens": 51728 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: it contains several small duplicate-like subclusters (docs cleanup, DoRA additions, torch.compile compatibility, test coverage) rather than one single underlying issue/feature. I accepted only pairs that look like the same concrete change; I rejected pairs that merely share a subsystem, an error message, or a broad feature theme.", + "confidence": 0.36, + "canonical_issue_reason": "No issue artifacts are present in this cluster.", + "canonical_pr_reason": "No single PR represents the whole cluster; the items split into unrelated subgroups (docs sweeps, training-script options, compile tests, and small bug fixes).", + "best_issue_reason": null, + "best_pr_reason": "No globally best PR for the whole cluster: the strongest matches are only within subclusters, not across the entire set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4659", + "right": "pull_request:4661", + "accept": true, + "reason": "Same SDXL long weighted prompt pipeline change; 4659 looks like an earlier/WIP version of the same feature." + }, + { + "left": "pull_request:7233", + "right": "pull_request:7235", + "accept": true, + "reason": "Same DoRA training feature for the SDXL DreamBooth LoRA script; 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not the same concrete change." + }, + { + "left": "pull_request:8916", + "right": "pull_request:8919", + "accept": false, + "reason": "Different model test files for different architectures; only the broad test-coverage theme matches." + }, + { + "left": "pull_request:11431", + "right": "pull_request:11512", + "accept": false, + "reason": "Both add torch.compile tests, but for different transformer models and separate code paths." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6576", + "accept": false, + "reason": "Both are compile-compatibility fixes, but for different training scripts and model setups." + }, + { + "left": "pull_request:9714", + "right": "pull_request:9715", + "accept": true, + "reason": "Same AuraFlow transformer docstring cleanup in the same file." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6577", + "accept": false, + "reason": "Same general compile-compatibility goal, but different scripts (ControlNet SDXL vs T2I Adapter SDXL) and distinct fixes." + }, + { + "left": "pull_request:6576", + "right": "pull_request:6577", + "accept": false, + "reason": "Both are SDXL training-script compile fixes, but they are separate model families and code paths." + }, + { + "left": "pull_request:9707", + "right": "pull_request:9715", + "accept": true, + "reason": "Same file and same docstring-refactor change family; these are duplicate edits to the AuraFlow transformer docs." + }, + { + "left": "pull_request:11431", + "right": "pull_request:11511", + "accept": false, + "reason": "Different transformer models and test files; only the broad compile-test pattern overlaps." + }, + { + "left": "pull_request:5506", + "right": "pull_request:5697", + "accept": true, + "reason": "Same PEFT/xformers bug fix in the attention processor code path; 5697 extends the same underlying fix pattern in the same file." + }, + { + "left": "pull_request:11471", + "right": "pull_request:11491", + "accept": false, + "reason": "Same interpolation setting theme, but different training scripts; they are separate feature additions rather than one duplicate change." + }, + { + "left": "pull_request:3633", + "right": "pull_request:3952", + "accept": false, + "reason": "Both pin huggingface-hub RC versions, but they target different versions and different dependency files." + }, + { + "left": "pull_request:8919", + "right": "pull_request:8932", + "accept": false, + "reason": "Both are new test files, but for unrelated models and coverage targets." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6556", + "accept": false, + "reason": "Both mention torch.compile compatibility, but they affect different training scripts and separate bugs." + }, + { + "left": "pull_request:6556", + "right": "pull_request:6576", + "accept": false, + "reason": "Different training scripts and different code paths, so they are not the same concrete fix." + }, + { + "left": "pull_request:2046", + "right": "pull_request:3633", + "accept": false, + "reason": "Both are temporary dependency-test PRs, but they test different Hugging Face Hub versions and even touch different workflow/setup contexts." + }, + { + "left": "pull_request:11471", + "right": "pull_request:11472", + "accept": false, + "reason": "Same interpolation feature family, but one is for DreamBooth SDXL and the other for Flux advanced training; not the same PR." + }, + { + "left": "pull_request:2046", + "right": "pull_request:3952", + "accept": false, + "reason": "Same test-pin pattern, but different RC versions and a broader dependency-table update in one case." + }, + { + "left": "pull_request:6525", + "right": "pull_request:6526", + "accept": false, + "reason": "Same compile-compatibility theme, but ControlNet SD and ControlNet SDXL are separate training scripts with separate fixes." + }, + { + "left": "pull_request:7072", + "right": "pull_request:7233", + "accept": false, + "reason": "Both add DoRA support, but one is the advanced DreamBooth LoRA script and the other is the base SDXL script; not the same concrete code path." + }, + { + "left": "pull_request:11472", + "right": "pull_request:11491", + "accept": false, + "reason": "Both add interpolation-mode support, but they are in different advanced training scripts and should not be merged as duplicates." + }, + { + "left": "pull_request:7072", + "right": "pull_request:7235", + "accept": false, + "reason": "The shared DoRA theme is too broad; these change different script families and one also touches docs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 239, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10299", + "pull_request:10316", + "pull_request:11449", + "pull_request:11492", + "pull_request:11782", + "pull_request:11783", + "pull_request:2825", + "pull_request:2826", + "pull_request:3201", + "pull_request:3237", + "pull_request:3265", + "pull_request:3285", + "pull_request:4629", + "pull_request:4659", + "pull_request:4661", + "pull_request:4899", + "pull_request:5938", + "pull_request:6526", + "pull_request:6532", + "pull_request:6534", + "pull_request:6556", + "pull_request:6558", + "pull_request:6559", + "pull_request:6569", + "pull_request:6577", + "pull_request:6654", + "pull_request:6655", + "pull_request:7603", + "pull_request:7797", + "pull_request:7803", + "pull_request:7804", + "pull_request:7833", + "pull_request:7846", + "pull_request:7849", + "pull_request:8283", + "pull_request:8335", + "pull_request:8773", + "pull_request:8810", + "pull_request:8864", + "pull_request:8916", + "pull_request:8932", + "pull_request:8973", + "pull_request:8976", + "pull_request:8985", + "pull_request:8987", + "pull_request:9706", + "pull_request:9707", + "pull_request:9714" + ], + "soft_pairs": [ + "pull_request:8932|pull_request:8987", + "pull_request:11782|pull_request:11783", + "pull_request:8810|pull_request:8864", + "pull_request:7797|pull_request:7803", + "pull_request:7797|pull_request:7804", + "pull_request:7797|pull_request:7833", + "pull_request:7797|pull_request:7846", + "pull_request:7803|pull_request:7804", + "pull_request:7803|pull_request:7833", + "pull_request:7803|pull_request:7846", + "pull_request:7804|pull_request:7833", + "pull_request:7804|pull_request:7846", + "pull_request:7833|pull_request:7846", + "pull_request:4629|pull_request:4659", + "pull_request:4629|pull_request:4661", + "pull_request:7797|pull_request:7849", + "pull_request:7803|pull_request:7849", + "pull_request:7804|pull_request:7849", + "pull_request:7833|pull_request:7849", + "pull_request:7846|pull_request:7849", + "pull_request:9706|pull_request:9707", + "pull_request:3201|pull_request:3265", + "pull_request:8773|pull_request:8976", + "pull_request:8283|pull_request:8335", + "pull_request:10299|pull_request:10316", + "pull_request:11449|pull_request:11492", + "pull_request:3237|pull_request:3285", + "pull_request:6559|pull_request:6654", + "pull_request:6559|pull_request:7603", + "pull_request:6559|pull_request:8283", + "pull_request:6654|pull_request:7603", + "pull_request:6654|pull_request:8283", + "pull_request:7603|pull_request:8283", + "pull_request:6526|pull_request:6558", + "pull_request:4899|pull_request:5938", + "pull_request:9706|pull_request:9714", + "pull_request:2825|pull_request:2826", + "pull_request:8916|pull_request:8932", + "pull_request:6526|pull_request:6532", + "pull_request:8973|pull_request:8985", + "pull_request:6556|pull_request:6577", + "pull_request:6569|pull_request:6655", + "pull_request:6569|pull_request:7603", + "pull_request:6526|pull_request:6534", + "pull_request:6532|pull_request:6558" + ], + "prepared_review_unit_hash": "d3805c25c6acde6bd3c707a642ed03dab04ab950563991bb34b16af258b5bd79", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 45, + "serialized_chars": 110811, + "estimated_input_tokens": 27703, + "estimated_eval_tokens": 55662 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is really several small duplicate subgroups, mostly around the same change repeated as replacement PRs or follow-up variants. I accepted only pairs that clearly target the same concrete file-level change; I rejected cross-script or same-theme-only matches, especially for test-size reductions and torch.compile compatibility updates.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents the whole cluster because it spans unrelated subtopics. If one representative must be chosen, PR 3285 is the best canonical anchor: it is a substantive core implementation change in src/diffusers with broader technical significance than the docs/test-only variants.", + "best_issue_reason": null, + "best_pr_reason": "PR 3285 is the strongest overall representative because it is a merged core code change with clear feature scope and central utility, whereas many other items are docs/test/example-specific or are just replacement variants of the same change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8932", + "right": "pull_request:8987", + "accept": false, + "reason": "Same general goal of shrinking fast tests, but they touch different model families and different test files, so this is not one concrete duplicate change." + }, + { + "left": "pull_request:11782", + "right": "pull_request:11783", + "accept": true, + "reason": "Same Dreambooth SD3 LoRA metadata/alpha change in the same files; this looks like a direct duplicate or follow-up variant of the same PR." + }, + { + "left": "pull_request:8810", + "right": "pull_request:8864", + "accept": true, + "reason": "Both add PAG support for SD ControlNet Img2Img on the same code path and files; this is the same feature work." + }, + { + "left": "pull_request:7797", + "right": "pull_request:7803", + "accept": false, + "reason": "Both reduce fast-test model sizes, but they are for different pipelines and different files, so they are not the same underlying change." + }, + { + "left": "pull_request:7797", + "right": "pull_request:7804", + "accept": false, + "reason": "Different test targets and model definitions; similar maintenance theme, but not the same concrete bug or change." + }, + { + "left": "pull_request:7797", + "right": "pull_request:7833", + "accept": false, + "reason": "These are separate fast-test reductions in different pipeline test files, so they should not be merged as duplicates." + }, + { + "left": "pull_request:7797", + "right": "pull_request:7846", + "accept": false, + "reason": "Same broad test optimization theme, but the affected pipeline and model setup are different." + }, + { + "left": "pull_request:7803", + "right": "pull_request:7804", + "accept": false, + "reason": "Both are small test-size reductions, but they touch different test modules and are not one code change." + }, + { + "left": "pull_request:7803", + "right": "pull_request:7833", + "accept": false, + "reason": "Different test files and pipeline models; same housekeeping category only." + }, + { + "left": "pull_request:7803", + "right": "pull_request:7846", + "accept": false, + "reason": "Not the same underlying issue: different fast-test model definitions in different files." + }, + { + "left": "pull_request:7804", + "right": "pull_request:7833", + "accept": false, + "reason": "These are separate test cleanups for different pipelines, not a single duplicate fix." + }, + { + "left": "pull_request:7804", + "right": "pull_request:7846", + "accept": false, + "reason": "Same general test shrink pattern, but different model and test file." + }, + { + "left": "pull_request:7833", + "right": "pull_request:7846", + "accept": false, + "reason": "Different fast tests for different audio pipelines; too broad to treat as one duplicate change." + }, + { + "left": "pull_request:4629", + "right": "pull_request:4659", + "accept": true, + "reason": "Same SDXL long weighted prompt pipeline update, with 4659 clearly replacing 4629." + }, + { + "left": "pull_request:4629", + "right": "pull_request:4661", + "accept": true, + "reason": "Both are the same long weighted prompt pipeline work; 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the diffs overlap on the same file and wording changes." + }, + { + "left": "pull_request:3201", + "right": "pull_request:3265", + "accept": true, + "reason": "Both are the same lpw_stable_diffusion revert/update sequence on the same community pipeline file." + }, + { + "left": "pull_request:8773", + "right": "pull_request:8976", + "accept": true, + "reason": "Same LoraBaseMixin revert; 8976 is the broader follow-up revert of the same underlying change." + }, + { + "left": "pull_request:8283", + "right": "pull_request:8335", + "accept": false, + "reason": "Both modularize inference/validation in text-to-image LoRA scripts, but they are different training scripts and different code paths." + }, + { + "left": "pull_request:10299", + "right": "pull_request:10316", + "accept": true, + "reason": "Same docs fix removing the generator argument from from_pretrained examples; both patch the same kind of incorrect usage." + }, + { + "left": "pull_request:11449", + "right": "pull_request:11492", + "accept": true, + "reason": "Both set Lanczos as the default interpolation for image resizing in similar training scripts; this is the same underlying behavior change." + }, + { + "left": "pull_request:3237", + "right": "pull_request:3285", + "accept": true, + "reason": "Same disk-offload feature work with overlapping core code paths; 3285 is the narrower implementation slice of the same change." + }, + { + "left": "pull_request:6559", + "right": "pull_request:6654", + "accept": false, + "reason": "Both touch training/inference refactors, but they are different scripts and not the same concrete fix." + }, + { + "left": "pull_request:6559", + "right": "pull_request:7603", + "accept": false, + "reason": "Different training scripts and different validation/inference implementations; same pattern, not same patch." + }, + { + "left": "pull_request:6559", + "right": "pull_request:8283", + "accept": false, + "reason": "Different example scripts and different refactors, so not a duplicate code change." + }, + { + "left": "pull_request:6654", + "right": "pull_request:7603", + "accept": false, + "reason": "These are separate modularization changes in different example scripts." + }, + { + "left": "pull_request:6654", + "right": "pull_request:8283", + "accept": false, + "reason": "Different scripts and different inference flows; too broad to merge as duplicates." + }, + { + "left": "pull_request:7603", + "right": "pull_request:8283", + "accept": false, + "reason": "Same general modularization theme, but not the same training script or code path." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6558", + "accept": false, + "reason": "Both are torch.compile compatibility fixes, but they target different example scripts and different code paths." + }, + { + "left": "pull_request:4899", + "right": "pull_request:5938", + "accept": true, + "reason": "Same ControlNet LoRA support feature with overlapping core files; 5938 looks like the follow-up/continued version of the same work." + }, + { + "left": "pull_request:9706", + "right": "pull_request:9714", + "accept": true, + "reason": "Same auraflow docstring cleanup in the same transformer file; this is effectively the same change." + }, + { + "left": "pull_request:2825", + "right": "pull_request:2826", + "accept": true, + "reason": "Same offset_noise addition to Dreambooth training; the diffs are the same concrete feature patch." + }, + { + "left": "pull_request:8916", + "right": "pull_request:8932", + "accept": false, + "reason": "Both add model tests, but for different transformer models and different files, so they are unrelated duplicates." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6532", + "accept": false, + "reason": "These are torch.compile compat changes for different training scripts, not one shared code-path bug." + }, + { + "left": "pull_request:8973", + "right": "pull_request:8985", + "accept": true, + "reason": "Both reduce the Lumina test model size in the same test file family; they are close enough to be one combined cleanup PR." + }, + { + "left": "pull_request:6556", + "right": "pull_request:6577", + "accept": false, + "reason": "Same compile-compat theme, but different example scripts and no shared concrete fix." + }, + { + "left": "pull_request:6569", + "right": "pull_request:6655", + "accept": false, + "reason": "Different scripts and different validation/inference refactors; not the same underlying change." + }, + { + "left": "pull_request:6569", + "right": "pull_request:7603", + "accept": false, + "reason": "These are separate modularization efforts in different training examples." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6534", + "accept": false, + "reason": "Different training scripts and different compile-compat touchpoints; too broad to merge." + }, + { + "left": "pull_request:6532", + "right": "pull_request:6558", + "accept": false, + "reason": "Both address compile compatibility, but they are distinct example scripts with different fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 240, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10268", + "pull_request:10386", + "pull_request:10387", + "pull_request:10781", + "pull_request:11421", + "pull_request:11451", + "pull_request:11472", + "pull_request:11537", + "pull_request:11552", + "pull_request:12269", + "pull_request:12454", + "pull_request:1346", + "pull_request:1347", + "pull_request:1788", + "pull_request:2094", + "pull_request:3458", + "pull_request:3460", + "pull_request:4499", + "pull_request:4500", + "pull_request:4501", + "pull_request:4502", + "pull_request:5299", + "pull_request:5312", + "pull_request:5391", + "pull_request:5833", + "pull_request:5834", + "pull_request:6207", + "pull_request:6266", + "pull_request:6534", + "pull_request:6558", + "pull_request:6559", + "pull_request:6654", + "pull_request:6655", + "pull_request:6940", + "pull_request:6942", + "pull_request:6944", + "pull_request:6947", + "pull_request:7603", + "pull_request:7797", + "pull_request:7803", + "pull_request:7804", + "pull_request:7833", + "pull_request:8283", + "pull_request:8335", + "pull_request:8973", + "pull_request:9083", + "pull_request:9706", + "pull_request:9715" + ], + "soft_pairs": [ + "pull_request:1346|pull_request:1347", + "pull_request:6207|pull_request:6266", + "pull_request:6534|pull_request:6558", + "pull_request:1788|pull_request:2094", + "pull_request:10386|pull_request:10387", + "pull_request:3458|pull_request:3460", + "pull_request:4499|pull_request:4500", + "pull_request:4499|pull_request:4501", + "pull_request:4499|pull_request:4502", + "pull_request:4500|pull_request:4501", + "pull_request:4500|pull_request:4502", + "pull_request:4501|pull_request:4502", + "pull_request:6942|pull_request:6944", + "pull_request:5833|pull_request:5834", + "pull_request:6940|pull_request:6944", + "pull_request:6942|pull_request:6947", + "pull_request:6944|pull_request:6947", + "pull_request:7797|pull_request:8973", + "pull_request:7803|pull_request:8973", + "pull_request:7804|pull_request:8973", + "pull_request:7833|pull_request:8973", + "pull_request:11421|pull_request:11472", + "pull_request:11451|pull_request:11552", + "pull_request:10268|pull_request:9083", + "pull_request:5299|pull_request:5391", + "pull_request:5312|pull_request:5391", + "pull_request:12269|pull_request:12454", + "pull_request:11451|pull_request:11537", + "pull_request:6559|pull_request:8335", + "pull_request:6654|pull_request:8335", + "pull_request:6655|pull_request:8335", + "pull_request:9706|pull_request:9715", + "pull_request:6559|pull_request:6655", + "pull_request:6655|pull_request:7603", + "pull_request:6655|pull_request:8283", + "pull_request:10268|pull_request:10781" + ], + "prepared_review_unit_hash": "244b6941e6f3e5e5734fad2abed774de1323ba02d7c2efa21534421b6291be97", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 36, + "serialized_chars": 103523, + "estimated_input_tokens": 25881, + "estimated_eval_tokens": 52018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not one unified duplicate cluster; it contains several true duplicate PR pairs plus many merely similar follow-ups or same-subsystem changes. I accepted only pairs that clearly target the same concrete code path or are effectively the same change, and rejected broader overlaps.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR across the whole set; the items span multiple unrelated feature branches and follow-up cleanups rather than one underlying change.", + "best_issue_reason": null, + "best_pr_reason": "No single best PR globally for the same reason; there are several separate duplicate groups, not one dominant representative.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1346", + "right": "pull_request:1347", + "accept": false, + "reason": "Both touch the same README, but one fixes a spelling/example snippet and the other fixes a missing-directory error; different underlying issues." + }, + { + "left": "pull_request:6207", + "right": "pull_request:6266", + "accept": false, + "reason": "Same general deprecation cleanup, but 6207 removes the helper across multiple scripts while 6266 is a separate follow-up in one script; not the same concrete change." + }, + { + "left": "pull_request:6534", + "right": "pull_request:6558", + "accept": false, + "reason": "Both address torch.compile compatibility, but they target different training scripts and code paths." + }, + { + "left": "pull_request:1788", + "right": "pull_request:2094", + "accept": true, + "reason": "Same DDIM scheduler bug around prediction_type='sample'; 2094 is a direct refinement of the same code path." + }, + { + "left": "pull_request:10386", + "right": "pull_request:10387", + "accept": true, + "reason": "These appear to be the same PR/content duplicated exactly for the same new example file." + }, + { + "left": "pull_request:3458", + "right": "pull_request:3460", + "accept": true, + "reason": "Both update stable_diffusion_inpaint for the same cross_attention_kwargs / LoRA-scale support path." + }, + { + "left": "pull_request:4499", + "right": "pull_request:4500", + "accept": true, + "reason": "Same SDXL reference example change duplicated across the same files." + }, + { + "left": "pull_request:4499", + "right": "pull_request:4501", + "accept": true, + "reason": "Same SDXL reference example change duplicated across the same files." + }, + { + "left": "pull_request:4499", + "right": "pull_request:4502", + "accept": true, + "reason": "Same SDXL reference example change duplicated across the same files." + }, + { + "left": "pull_request:4500", + "right": "pull_request:4501", + "accept": true, + "reason": "Exact same SDXL reference example content." + }, + { + "left": "pull_request:4500", + "right": "pull_request:4502", + "accept": true, + "reason": "Exact same SDXL reference example content." + }, + { + "left": "pull_request:4501", + "right": "pull_request:4502", + "accept": true, + "reason": "Exact same SDXL reference example content." + }, + { + "left": "pull_request:6942", + "right": "pull_request:6944", + "accept": false, + "reason": "Both are model-card standardization work, but for different training scripts and outputs; not the same change." + }, + { + "left": "pull_request:5833", + "right": "pull_request:5834", + "accept": false, + "reason": "These do not show the same concrete fix; one is docs-only and the other changes single-file import paths." + }, + { + "left": "pull_request:6940", + "right": "pull_request:6944", + "accept": false, + "reason": "Same broad model-card refactor theme, but different scripts and different artifacts." + }, + { + "left": "pull_request:6942", + "right": "pull_request:6947", + "accept": false, + "reason": "Different training scripts/model-card targets; too broad to treat as duplicates." + }, + { + "left": "pull_request:6944", + "right": "pull_request:6947", + "accept": false, + "reason": "Different scripts and model-card outputs; related cleanup, not the same change." + }, + { + "left": "pull_request:7797", + "right": "pull_request:8973", + "accept": false, + "reason": "Both reduce fast-test model sizes, but for different pipeline tests and models." + }, + { + "left": "pull_request:7803", + "right": "pull_request:8973", + "accept": false, + "reason": "Different fast-test targets; same optimization theme, not the same bug/change." + }, + { + "left": "pull_request:7804", + "right": "pull_request:8973", + "accept": false, + "reason": "Different fast-test targets; same optimization theme, not the same bug/change." + }, + { + "left": "pull_request:7833", + "right": "pull_request:8973", + "accept": false, + "reason": "Different fast-test targets; same optimization theme, not the same bug/change." + }, + { + "left": "pull_request:11421", + "right": "pull_request:11472", + "accept": false, + "reason": "Both set LANCZOS defaults, but in different training scripts with different pipelines." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11552", + "accept": false, + "reason": "Both add torch.compile tests, but for different model classes and code paths." + }, + { + "left": "pull_request:10268", + "right": "pull_request:9083", + "accept": false, + "reason": "Single-file support for different transformers (Mochi vs Flux); same subsystem, different concrete changes." + }, + { + "left": "pull_request:5299", + "right": "pull_request:5391", + "accept": false, + "reason": "Both improve docs/typehints, but they touch different sets of model files and are not the same change." + }, + { + "left": "pull_request:5312", + "right": "pull_request:5391", + "accept": false, + "reason": "Same broad documentation cleanup area, but not the same concrete fix." + }, + { + "left": "pull_request:12269", + "right": "pull_request:12454", + "accept": true, + "reason": "Both implement Flux Kontext modular support across the same modular-pipeline code paths; they look like the same feature/change." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11537", + "accept": false, + "reason": "Both add torch.compile tests, but for different models and test modules." + }, + { + "left": "pull_request:6559", + "right": "pull_request:8335", + "accept": false, + "reason": "Both refactor training-time inference flow, but in different scripts with different training setups." + }, + { + "left": "pull_request:6654", + "right": "pull_request:8335", + "accept": false, + "reason": "Different training scripts and inference flows; related refactor, not the same change." + }, + { + "left": "pull_request:6655", + "right": "pull_request:8335", + "accept": false, + "reason": "Different training scripts and inference flows; related refactor, not the same change." + }, + { + "left": "pull_request:9706", + "right": "pull_request:9715", + "accept": true, + "reason": "Same auraflow_transformer_2d docstring cleanup in the same file; one is a refinement/duplicate of the other." + }, + { + "left": "pull_request:6559", + "right": "pull_request:6655", + "accept": false, + "reason": "Both are modularize-inference changes, but they target different scripts and model variants." + }, + { + "left": "pull_request:6655", + "right": "pull_request:7603", + "accept": false, + "reason": "Different example scripts and training workflows; same pattern, not the same change." + }, + { + "left": "pull_request:6655", + "right": "pull_request:8283", + "accept": false, + "reason": "Different example scripts and training workflows; same pattern, not the same change." + }, + { + "left": "pull_request:10268", + "right": "pull_request:10781", + "accept": false, + "reason": "Single-file support for different models (Mochi vs Lumina2); same feature class, different concrete code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 241, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10288", + "pull_request:10504", + "pull_request:10505", + "pull_request:11407", + "pull_request:11421", + "pull_request:11471", + "pull_request:11476", + "pull_request:11492", + "pull_request:11537", + "pull_request:11552", + "pull_request:11744", + "pull_request:11782", + "pull_request:121", + "pull_request:12387", + "pull_request:12439", + "pull_request:2046", + "pull_request:252", + "pull_request:2602", + "pull_request:3197", + "pull_request:3201", + "pull_request:3265", + "pull_request:3952", + "pull_request:6119", + "pull_request:6231", + "pull_request:6526", + "pull_request:6532", + "pull_request:6550", + "pull_request:6555", + "pull_request:6556", + "pull_request:6559", + "pull_request:6569", + "pull_request:6577", + "pull_request:6654", + "pull_request:6944", + "pull_request:7615", + "pull_request:7797", + "pull_request:7803", + "pull_request:7804", + "pull_request:7833", + "pull_request:8283", + "pull_request:8335", + "pull_request:8985", + "pull_request:9083", + "pull_request:9257", + "pull_request:9473", + "pull_request:9592", + "pull_request:9707" + ], + "soft_pairs": [ + "pull_request:11744|pull_request:11782", + "pull_request:6944|pull_request:7615", + "pull_request:2602|pull_request:3952", + "pull_request:11537|pull_request:11552", + "pull_request:10288|pull_request:9083", + "pull_request:6526|pull_request:6555", + "pull_request:6532|pull_request:6577", + "pull_request:9257|pull_request:9473", + "pull_request:12387|pull_request:12439", + "pull_request:3197|pull_request:3201", + "pull_request:3197|pull_request:3265", + "pull_request:6569|pull_request:8335", + "pull_request:6119|pull_request:6231", + "pull_request:11471|pull_request:11492", + "pull_request:7797|pull_request:8985", + "pull_request:7803|pull_request:8985", + "pull_request:7804|pull_request:8985", + "pull_request:7833|pull_request:8985", + "pull_request:11421|pull_request:11471", + "pull_request:6550|pull_request:6556", + "pull_request:6559|pull_request:6569", + "pull_request:6569|pull_request:6654", + "pull_request:6569|pull_request:8283", + "pull_request:9592|pull_request:9707", + "pull_request:2046|pull_request:2602", + "pull_request:10504|pull_request:10505", + "pull_request:11407|pull_request:11476", + "pull_request:121|pull_request:252" + ], + "prepared_review_unit_hash": "fb6af76d9774c6a6c613965551bc7d0d9ffdc0cb7175bc8eb26242dfa5fe7f96", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 101050, + "estimated_input_tokens": 25263, + "estimated_eval_tokens": 50782 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are near-matches by theme but not true duplicates; only the exact same-content reapply/revert pair and the identical test-print cleanup pair look like real duplicates.", + "confidence": 0.78, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10505 is the cleanest representative: it has the exact same diff as 10504 in the same test files, and it is the merged copy.", + "best_issue_reason": null, + "best_pr_reason": "PR 10505 is the strongest overall representative because it is an exact duplicate with the same patch and merged status, making it the clearest canonical PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11744", + "right": "pull_request:11782", + "accept": false, + "reason": "Same family of LoRA metadata work, but different scripts and different fixes; not the same concrete change." + }, + { + "left": "pull_request:6944", + "right": "pull_request:7615", + "accept": false, + "reason": "Both standardize model cards, but they target different training scripts and are separate changes." + }, + { + "left": "pull_request:2602", + "right": "pull_request:3952", + "accept": false, + "reason": "Both are temporary dependency-pin tests, but they update different release versions and are not the same change." + }, + { + "left": "pull_request:11537", + "right": "pull_request:11552", + "accept": false, + "reason": "Both add torch.compile coverage, but for different model classes; not the same bug or patch." + }, + { + "left": "pull_request:10288", + "right": "pull_request:9083", + "accept": false, + "reason": "Both touch Flux single-file support, but one adds variants and the other adds the transformer loader; separate changes." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6555", + "accept": false, + "reason": "Different training scripts and different compile-compat fixes; related, but not duplicate." + }, + { + "left": "pull_request:6532", + "right": "pull_request:6577", + "accept": false, + "reason": "Both are torch.compile compatibility work, but they fix different example scripts and code paths." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9473", + "accept": false, + "reason": "Different Flux DreamBooth fixes: one changes prompt tokenization, the other adjusts optimizer LR handling." + }, + { + "left": "pull_request:12387", + "right": "pull_request:12439", + "accept": false, + "reason": "Both add kernels-backed attention support, but for different backend combinations and code paths." + }, + { + "left": "pull_request:3197", + "right": "pull_request:3201", + "accept": false, + "reason": "3201 is a revert of 3197, not the same underlying change." + }, + { + "left": "pull_request:3197", + "right": "pull_request:3265", + "accept": true, + "reason": "Same lpw_stable_diffusion patch content; 3265 re-applies the exact change after the revert." + }, + { + "left": "pull_request:6569", + "right": "pull_request:8335", + "accept": false, + "reason": "Both modularize validation/inference, but for different training examples and not the same concrete change." + }, + { + "left": "pull_request:6119", + "right": "pull_request:6231", + "accept": false, + "reason": "Both address fp16 LoRA training, but they modify different scripts and are separate per-entrypoint fixes." + }, + { + "left": "pull_request:11471", + "right": "pull_request:11492", + "accept": false, + "reason": "Same interpolation idea, but applied to different DreamBooth scripts; not one duplicate patch." + }, + { + "left": "pull_request:7797", + "right": "pull_request:8985", + "accept": false, + "reason": "Different fast-test pipelines with different reduced dummy models; same optimization goal, not same change." + }, + { + "left": "pull_request:7803", + "right": "pull_request:8985", + "accept": false, + "reason": "Different test pipeline and model reduction, so not the same patch." + }, + { + "left": "pull_request:7804", + "right": "pull_request:8985", + "accept": false, + "reason": "Different Amused test files and dummy component changes; not a duplicate." + }, + { + "left": "pull_request:7833", + "right": "pull_request:8985", + "accept": false, + "reason": "Different AudioLDM test reduction; separate test-specific change." + }, + { + "left": "pull_request:11421", + "right": "pull_request:11471", + "accept": false, + "reason": "Same interpolation default theme, but different scripts and independent edits." + }, + { + "left": "pull_request:6550", + "right": "pull_request:6556", + "accept": false, + "reason": "Different training variants and compile-compat changes; not the same concrete bug fix." + }, + { + "left": "pull_request:6559", + "right": "pull_request:6569", + "accept": false, + "reason": "Both touch validation/inference scaffolding, but for different examples and different refactors." + }, + { + "left": "pull_request:6569", + "right": "pull_request:6654", + "accept": false, + "reason": "Different example scripts; related pattern, but not the same underlying change." + }, + { + "left": "pull_request:9592", + "right": "pull_request:9707", + "accept": false, + "reason": "Both are docstring refactors in different model files, not duplicates." + }, + { + "left": "pull_request:2046", + "right": "pull_request:2602", + "accept": false, + "reason": "Different temporary dependency test versions; same testing pattern, but not the same change." + }, + { + "left": "pull_request:10504", + "right": "pull_request:10505", + "accept": true, + "reason": "Identical diff in the same test files; 10505 is effectively the duplicate merged copy of 10504." + }, + { + "left": "pull_request:11407", + "right": "pull_request:11476", + "accept": false, + "reason": "Both are typo/doc cleanup PRs, but they span different files and unrelated edits." + }, + { + "left": "pull_request:121", + "right": "pull_request:252", + "accept": false, + "reason": "Both update README examples, but they are different content and different changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 242, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1157", + "pull_request:1186", + "pull_request:11920", + "pull_request:11955", + "pull_request:12142", + "pull_request:12143", + "pull_request:12307", + "pull_request:13115", + "pull_request:13254", + "pull_request:13315", + "pull_request:13335", + "pull_request:2812", + "pull_request:2813", + "pull_request:326", + "pull_request:327", + "pull_request:3554", + "pull_request:3555", + "pull_request:4022", + "pull_request:4684", + "pull_request:5828", + "pull_request:6261", + "pull_request:6262", + "pull_request:6263", + "pull_request:6264", + "pull_request:6265", + "pull_request:6267", + "pull_request:6908", + "pull_request:6909", + "pull_request:6910", + "pull_request:6939", + "pull_request:6940", + "pull_request:6942", + "pull_request:6944", + "pull_request:6947", + "pull_request:7692", + "pull_request:7746", + "pull_request:7876", + "pull_request:7903", + "pull_request:8064", + "pull_request:8426", + "pull_request:8427", + "pull_request:8816", + "pull_request:8820", + "pull_request:8946", + "pull_request:9591", + "pull_request:9592", + "pull_request:9593", + "pull_request:9707" + ], + "soft_pairs": [ + "pull_request:12307|pull_request:13115", + "pull_request:2812|pull_request:2813", + "pull_request:3554|pull_request:3555", + "pull_request:8816|pull_request:8820", + "pull_request:12142|pull_request:12143", + "pull_request:326|pull_request:327", + "pull_request:6908|pull_request:6910", + "pull_request:6909|pull_request:6910", + "pull_request:6939|pull_request:6940", + "pull_request:6262|pull_request:6263", + "pull_request:6262|pull_request:6264", + "pull_request:6263|pull_request:6264", + "pull_request:6908|pull_request:6909", + "pull_request:6939|pull_request:6942", + "pull_request:6939|pull_request:6944", + "pull_request:4022|pull_request:4684", + "pull_request:5828|pull_request:7746", + "pull_request:6261|pull_request:6262", + "pull_request:6261|pull_request:6263", + "pull_request:6261|pull_request:6264", + "pull_request:6262|pull_request:6267", + "pull_request:6263|pull_request:6267", + "pull_request:6264|pull_request:6267", + "pull_request:7903|pull_request:8946", + "pull_request:8064|pull_request:8946", + "pull_request:8426|pull_request:8427", + "pull_request:6940|pull_request:6942", + "pull_request:7692|pull_request:7876", + "pull_request:9592|pull_request:9593", + "pull_request:6261|pull_request:6267", + "pull_request:6265|pull_request:6267", + "pull_request:6939|pull_request:6947", + "pull_request:6940|pull_request:6947", + "pull_request:9591|pull_request:9707", + "pull_request:1157|pull_request:1186", + "pull_request:11920|pull_request:11955", + "pull_request:13254|pull_request:13315", + "pull_request:13254|pull_request:13335" + ], + "prepared_review_unit_hash": "155add5443c79604821105006f29fa128234062fd220ba1907f7aa310ba0b4aa", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 38, + "serialized_chars": 110612, + "estimated_input_tokens": 27653, + "estimated_eval_tokens": 55562 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated PRs across different features/docs/tests. I only accepted pairs that are clearly the same concrete change with near-identical diffs; most other soft edges are false positives from shared subsystems or similar titles.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "No issue artifacts are present. If forced to pick a canonical PR representative, #8820 is the strongest: it is merged, has a clear title, and its diff cleanly implements the concrete PAG controlnet addition.", + "best_issue_reason": null, + "best_pr_reason": "#8820 is the best overall PR candidate in this set: merged, clearly scoped, and more representative than vague refactor/docs-only PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12307", + "right": "pull_request:13115", + "accept": false, + "reason": "Related modular-pipeline cleanup, but not the same underlying change; 13115 is a narrower export/init tweak, not a duplicate of 12307." + }, + { + "left": "pull_request:2812", + "right": "pull_request:2813", + "accept": true, + "reason": "Same Stable unCLIP docs edit with effectively identical diff and title; clear duplicate." + }, + { + "left": "pull_request:3554", + "right": "pull_request:3555", + "accept": true, + "reason": "Same Moreh/textual inversion bundle; diffs and touched files are effectively identical." + }, + { + "left": "pull_request:8816", + "right": "pull_request:8820", + "accept": true, + "reason": "Both implement PAG support for sd15 controlnet in the same code path and file set; 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Same broad area, but not the same concrete change." + }, + { + "left": "pull_request:6264", + "right": "pull_request:6265", + "accept": false, + "reason": "Different refactors: SAG versus GLIGEN. They are separate moves out of stable_diffusion." + }, + { + "left": "pull_request:10678", + "right": "pull_request:10784", + "accept": false, + "reason": "Similar input-validation fixes, but they apply to different pipelines and files; not a duplicate change." + }, + { + "left": "pull_request:8946", + "right": "pull_request:9131", + "accept": false, + "reason": "Unrelated changes: one is a test expectation tweak, the other is a dependency pin in setup.py." + }, + { + "left": "pull_request:6261", + "right": "pull_request:6265", + "accept": false, + "reason": "Different refactors: Attend-and-Excite versus GLIGEN. Same refactor theme, but not the same patch." + }, + { + "left": "pull_request:386", + "right": "pull_request:388", + "accept": false, + "reason": "Both are early pipeline docs/implementation work, but they introduce different pipelines and content." + }, + { + "left": "pull_request:5201", + "right": "pull_request:5506", + "accept": false, + "reason": "Both modify attention code, but one is LoRA offload/deprecation behavior and the other is PEFT/xformers argument handling; distinct fixes." + }, + { + "left": "pull_request:10464", + "right": "pull_request:10465", + "accept": true, + "reason": "Same NPU FLUX adaptation; 10465 is a narrower slice of the same code-path change." + }, + { + "left": "pull_request:7131", + "right": "pull_request:7451", + "accept": false, + "reason": "Both are typo fixes, but they cover different documentation areas and files rather than the same underlying change." + }, + { + "left": "pull_request:10849", + "right": "pull_request:10852", + "accept": true, + "reason": "Same remote VAE template file and same feature; 10852 is a small follow-up fix to the template introduced by 10849." + }, + { + "left": "pull_request:1087", + "right": "pull_request:2526", + "accept": false, + "reason": "Both are test-stability changes, but they touch different pipelines and expectations; not the same bug." + }, + { + "left": "pull_request:1131", + "right": "pull_request:831", + "accept": false, + "reason": "Different release bump PRs with different version targets and unrelated scheduler edits; not duplicates." + }, + { + "left": "pull_request:1210", + "right": "pull_request:2526", + "accept": false, + "reason": "Both are slow-test fixes, but they address different tests and code paths." + }, + { + "left": "pull_request:13071", + "right": "pull_request:13082", + "accept": false, + "reason": "Separate model test refactors for different model families (Flux2 vs Wan), not the same change." + }, + { + "left": "pull_request:1425", + "right": "pull_request:408", + "accept": false, + "reason": "Both are typo cleanup PRs, but they modify different docs/pages and are not the same patch." + }, + { + "left": "pull_request:17", + "right": "pull_request:408", + "accept": false, + "reason": "Same general typo-fix theme, but these are different eras and different documentation scopes." + }, + { + "left": "pull_request:2271", + "right": "pull_request:2526", + "accept": false, + "reason": "Both adjust slow-test expectations, but they are for different pipelines and failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 248, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1131", + "pull_request:12117", + "pull_request:12225", + "pull_request:12521", + "pull_request:12562", + "pull_request:13069", + "pull_request:13082", + "pull_request:1415", + "pull_request:1490", + "pull_request:2290", + "pull_request:2388", + "pull_request:2446", + "pull_request:2539", + "pull_request:2757", + "pull_request:2864", + "pull_request:2925", + "pull_request:3099", + "pull_request:325", + "pull_request:327", + "pull_request:333", + "pull_request:335", + "pull_request:349", + "pull_request:359", + "pull_request:360", + "pull_request:3625", + "pull_request:3676", + "pull_request:4330", + "pull_request:4472", + "pull_request:4612", + "pull_request:4652", + "pull_request:6017", + "pull_request:6018", + "pull_request:61", + "pull_request:63", + "pull_request:6647", + "pull_request:6909", + "pull_request:6910", + "pull_request:6939", + "pull_request:7903", + "pull_request:8064", + "pull_request:831", + "pull_request:8470", + "pull_request:8478", + "pull_request:8479", + "pull_request:912", + "pull_request:9131", + "pull_request:9760" + ], + "soft_pairs": [ + "pull_request:2864|pull_request:2925", + "pull_request:3625|pull_request:3676", + "pull_request:3676|pull_request:6017", + "pull_request:3676|pull_request:6018", + "pull_request:4330|pull_request:4472", + "pull_request:4652|pull_request:6647", + "pull_request:6017|pull_request:6018", + "pull_request:61|pull_request:63", + "pull_request:8470|pull_request:9760", + "pull_request:8478|pull_request:8479", + "pull_request:12117|pull_request:12225", + "pull_request:327|pull_request:335", + "pull_request:7903|pull_request:9131", + "pull_request:8064|pull_request:9131", + "pull_request:6910|pull_request:6939", + "pull_request:325|pull_request:333", + "pull_request:359|pull_request:360", + "pull_request:335|pull_request:349", + "pull_request:6909|pull_request:6939", + "pull_request:12521|pull_request:12562", + "pull_request:1131|pull_request:1490", + "pull_request:1131|pull_request:912", + "pull_request:13069|pull_request:13082", + "pull_request:1415|pull_request:2757", + "pull_request:1490|pull_request:831", + "pull_request:2290|pull_request:2446", + "pull_request:2388|pull_request:4612", + "pull_request:2539|pull_request:3099" + ], + "prepared_review_unit_hash": "2a5e3cad499f869e12ed91eb9ec45f227fc8fbe0b4db1a0d6ba7ded1478a7942", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 96258, + "estimated_input_tokens": 24065, + "estimated_eval_tokens": 48386 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a fragmented mix of unrelated PRs; only a couple of edges look like true duplicates, especially the HunyuanDiT controlnet/pipeline pair and the small QwenImage doc-builder test trio. Most other soft edges are just same subsystem/docs/version churn and should be rejected.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents the whole cluster; the strongest duplicate-like anchor is the HunyuanDiT controlnet/pipeline pair (8478/8479), which has near-identical files and title.", + "best_issue_reason": null, + "best_pr_reason": "PR 8478 is the clearest representative of a true duplicate pair because 8479 mirrors the same HunyuanDiT controlnet/pipeline feature and file set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2864", + "right": "pull_request:2925", + "accept": false, + "reason": "Both are docs overview tweaks, but they target different pages/files and are not the same change." + }, + { + "left": "pull_request:3625", + "right": "pull_request:3676", + "accept": false, + "reason": "Doc-builder workflow test vs docs index heading edit; related theme, but not the same concrete change." + }, + { + "left": "pull_request:3676", + "right": "pull_request:6017", + "accept": true, + "reason": "Both are the same doc-builder test pattern in docs/source/en/index.md, with only the heading text varied." + }, + { + "left": "pull_request:3676", + "right": "pull_request:6018", + "accept": true, + "reason": "Same docs/index.md test artifact and same underlying doc-builder test intent." + }, + { + "left": "pull_request:4330", + "right": "pull_request:4472", + "accept": false, + "reason": "Unrelated README edits in different examples; not the same bug or change." + }, + { + "left": "pull_request:4652", + "right": "pull_request:6647", + "accept": false, + "reason": "Different test targets in different model/pipeline areas; same broad repository area only." + }, + { + "left": "pull_request:6017", + "right": "pull_request:6018", + "accept": true, + "reason": "Both are variants of the same docs/index.md doc-builder test edit and could be combined." + }, + { + "left": "pull_request:61", + "right": "pull_request:63", + "accept": false, + "reason": "Different conversion scripts for different pipelines; not mergeable into one concrete fix." + }, + { + "left": "pull_request:8470", + "right": "pull_request:9760", + "accept": false, + "reason": "Different README rewrites with no shared concrete code-path or documentation target." + }, + { + "left": "pull_request:8478", + "right": "pull_request:8479", + "accept": true, + "reason": "Near-identical HunyuanDiT controlnet/pipeline feature PRs touching the same files and implementation path." + }, + { + "left": "pull_request:12117", + "right": "pull_request:12225", + "accept": false, + "reason": "Both are QwenImage additions, but they introduce different pipeline classes and different concrete functionality." + }, + { + "left": "pull_request:327", + "right": "pull_request:335", + "accept": false, + "reason": "Type-hint refactors in different components (pipeline vs scheduler), not the same underlying change." + }, + { + "left": "pull_request:7903", + "right": "pull_request:9131", + "accept": false, + "reason": "Unrelated video processor test changes and dependency pinning; no shared bug or fix." + }, + { + "left": "pull_request:8064", + "right": "pull_request:9131", + "accept": false, + "reason": "Marigold test scaffolding and a tokenizers pin are unrelated." + }, + { + "left": "pull_request:6910", + "right": "pull_request:6939", + "accept": false, + "reason": "Same high-level model-card cleanup pattern, but for different training scripts and examples." + }, + { + "left": "pull_request:325", + "right": "pull_request:333", + "accept": false, + "reason": "Different pipelines, different code paths; both are type-hint cleanups only at a broad level." + }, + { + "left": "pull_request:359", + "right": "pull_request:360", + "accept": false, + "reason": "Different schedulers and different files; too broad to treat as the same change." + }, + { + "left": "pull_request:335", + "right": "pull_request:349", + "accept": false, + "reason": "Different scheduler implementations, so they are not the same concrete fix." + }, + { + "left": "pull_request:6909", + "right": "pull_request:6939", + "accept": false, + "reason": "Both standardize model cards, but they update different example scripts and outputs." + }, + { + "left": "pull_request:12521", + "right": "pull_request:12562", + "accept": false, + "reason": "Both concern Wan, but they fix different crash paths in different modules." + }, + { + "left": "pull_request:1131", + "right": "pull_request:1490", + "accept": false, + "reason": "Both are version/deprecation bumps, but for different release targets and additional cleanup." + }, + { + "left": "pull_request:1131", + "right": "pull_request:912", + "accept": false, + "reason": "Different release version bumps; not the same change." + }, + { + "left": "pull_request:13069", + "right": "pull_request:13082", + "accept": false, + "reason": "CI test refactors for different model families; same testing theme only." + }, + { + "left": "pull_request:1415", + "right": "pull_request:2757", + "accept": false, + "reason": "A broad stable-diffusion cleanup PR and a specific depth batching fix are not the same concrete bug." + }, + { + "left": "pull_request:2290", + "right": "pull_request:2446", + "accept": false, + "reason": "Both are pix2pix docs edits, but they fix different documentation snippets and wording issues." + }, + { + "left": "pull_request:2388", + "right": "pull_request:4612", + "accept": false, + "reason": "Adding the controlling-generation doc and later fixing links in it are related, but not the same underlying change." + }, + { + "left": "pull_request:2539", + "right": "pull_request:3099", + "accept": false, + "reason": "Different default-value fixes in different pipeline/docs contexts; not mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 249, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10206", + "pull_request:10810", + "pull_request:13255", + "pull_request:13313", + "pull_request:1525", + "pull_request:2839", + "pull_request:3214", + "pull_request:326", + "pull_request:327", + "pull_request:333", + "pull_request:335", + "pull_request:343", + "pull_request:3525", + "pull_request:359", + "pull_request:360", + "pull_request:3709", + "pull_request:3710", + "pull_request:3819", + "pull_request:4078", + "pull_request:4132", + "pull_request:4451", + "pull_request:5220", + "pull_request:5267", + "pull_request:5280", + "pull_request:5292", + "pull_request:5420", + "pull_request:5855", + "pull_request:6327", + "pull_request:6342", + "pull_request:6346", + "pull_request:6356", + "pull_request:6438", + "pull_request:6453", + "pull_request:6462", + "pull_request:6617", + "pull_request:6620", + "pull_request:7118", + "pull_request:7246", + "pull_request:7451", + "pull_request:7544", + "pull_request:7767", + "pull_request:7825", + "pull_request:7827", + "pull_request:7966", + "pull_request:831", + "pull_request:8775", + "pull_request:912", + "pull_request:9760" + ], + "soft_pairs": [ + "pull_request:2839|pull_request:3525", + "pull_request:3525|pull_request:3819", + "pull_request:3709|pull_request:3710", + "pull_request:3819|pull_request:5267", + "pull_request:3819|pull_request:5855", + "pull_request:4451|pull_request:5220", + "pull_request:5280|pull_request:5292", + "pull_request:6342|pull_request:6438", + "pull_request:6453|pull_request:6462", + "pull_request:6617|pull_request:6620", + "pull_request:7118|pull_request:7451", + "pull_request:7544|pull_request:7827", + "pull_request:7767|pull_request:7966", + "pull_request:831|pull_request:912", + "pull_request:8775|pull_request:9760", + "pull_request:6327|pull_request:6356", + "pull_request:326|pull_request:335", + "pull_request:4078|pull_request:4132", + "pull_request:343|pull_request:359", + "pull_request:343|pull_request:360", + "pull_request:10206|pull_request:10810", + "pull_request:1525|pull_request:3214", + "pull_request:5420|pull_request:6346", + "pull_request:7246|pull_request:7825", + "pull_request:327|pull_request:333", + "pull_request:13255|pull_request:13313" + ], + "prepared_review_unit_hash": "8209932b7bbea6a00d7a10dd9ba61d5c936d7a9d333199ec934f8c6c59379419", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 96392, + "estimated_input_tokens": 24098, + "estimated_eval_tokens": 48452 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly false-positive similarity hits across unrelated docs, test, and LoRA PRs. The only clear duplicate pair is the image-processor documentation addition; the rest are either different files, different concrete fixes, or follow-up edits rather than the same change.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 3710 is the cleanest canonical representative: it is merged, it touches the same files as 3709, and it contains the same new image-processor documentation change.", + "best_issue_reason": null, + "best_pr_reason": "PR 3710 is the strongest representative duplicate target in this cluster because it is the merged, final version of the exact same docs addition seen in 3709.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2839", + "right": "pull_request:3525", + "accept": false, + "reason": "Both are README edits, but they change different content: example listings vs general README wording/branding. Not the same underlying change." + }, + { + "left": "pull_request:3525", + "right": "pull_request:3819", + "accept": false, + "reason": "Generic README updates, but 3819 adds an FAQ section while 3525 changes introductory wording and links. Different changes." + }, + { + "left": "pull_request:3709", + "right": "pull_request:3710", + "accept": true, + "reason": "Same new docs page and toctree entry for the VAE image processor; 3710 is effectively the duplicate/finalized version of 3709." + }, + { + "left": "pull_request:3819", + "right": "pull_request:5267", + "accept": false, + "reason": "3819 adds FAQ content to examples/README, while 5267 fixes Markdown code fences in docs/README. Unrelated edits." + }, + { + "left": "pull_request:3819", + "right": "pull_request:5855", + "accept": false, + "reason": "FAQ content versus a typo fix in a community README. Same broad area, not the same change." + }, + { + "left": "pull_request:4451", + "right": "pull_request:5220", + "accept": false, + "reason": "Both retarget tests to nightly, but they cover different test suites and scopes. Not one concrete fix." + }, + { + "left": "pull_request:5280", + "right": "pull_request:5292", + "accept": false, + "reason": "Both speed up ControlNet fast tests, but they touch different test files and different pipelines. Separate changes." + }, + { + "left": "pull_request:6342", + "right": "pull_request:6438", + "accept": false, + "reason": "Both add Windows installation notes, but one is a 3.12-specific note and the other is broader Python-version guidance. Related follow-up, not a duplicate." + }, + { + "left": "pull_request:6453", + "right": "pull_request:6462", + "accept": false, + "reason": "6462 corrects the paper link introduced by 6453; this is a follow-up correction, not the same underlying change." + }, + { + "left": "pull_request:6617", + "right": "pull_request:6620", + "accept": false, + "reason": "These are different docs/script fixes: duplicated-arguments docs versus command-line invocation text. Not the same artifact." + }, + { + "left": "pull_request:7118", + "right": "pull_request:7451", + "accept": false, + "reason": "Both are docs typo sweeps, but they edit different pages and different text. Too broad to be duplicates." + }, + { + "left": "pull_request:7544", + "right": "pull_request:7827", + "accept": false, + "reason": "CPU offload test cleanup versus a docstring example fix in a ControlNet XL pipeline. Different code paths." + }, + { + "left": "pull_request:7767", + "right": "pull_request:7966", + "accept": false, + "reason": "Pipeline code cleanup in PixArt versus test expectation updates for PixArt Sigma. Not the same concrete change." + }, + { + "left": "pull_request:831", + "right": "pull_request:912", + "accept": false, + "reason": "These are different version bumps to different release versions, so they are not duplicates." + }, + { + "left": "pull_request:8775", + "right": "pull_request:9760", + "accept": false, + "reason": "One adds a Colab link to an example README; the other changes README headings/formatting. Unrelated." + }, + { + "left": "pull_request:6327", + "right": "pull_request:6356", + "accept": false, + "reason": "Both edit the same training script, but they fix different bugs: LoRA/SNR changes versus prior-preservation SNR handling. Separate changes." + }, + { + "left": "pull_request:326", + "right": "pull_request:335", + "accept": false, + "reason": "Both are PNDM-related type-hint PRs, but one targets the pipeline and the other the scheduler. Not the same underlying change." + }, + { + "left": "pull_request:343", + "right": "pull_request:359", + "accept": false, + "reason": "Different scheduler type-hint updates in different modules; same theme, not the same fix." + }, + { + "left": "pull_request:343", + "right": "pull_request:360", + "accept": false, + "reason": "Different scheduler type-hint updates in different modules; not mergeable as one concrete change." + }, + { + "left": "pull_request:10206", + "right": "pull_request:10810", + "accept": false, + "reason": "Both are LoRA/Flux related, but one adds unload support while the other improves conversion/loading logic. Different code paths." + }, + { + "left": "pull_request:1525", + "right": "pull_request:3214", + "accept": false, + "reason": "Batch sizing in the upscaler pipeline versus a head/batch reshape fix in attention code. Unrelated bugs." + }, + { + "left": "pull_request:4078", + "right": "pull_request:4132", + "accept": false, + "reason": "One enforces accelerate as required; the other makes accelerate optional. Opposite dependency behavior and different fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 250, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10319", + "pull_request:10323", + "pull_request:10434", + "pull_request:11257", + "pull_request:11701", + "pull_request:11879", + "pull_request:11895", + "pull_request:12490", + "pull_request:12675", + "pull_request:12883", + "pull_request:1291", + "pull_request:13254", + "pull_request:13293", + "pull_request:13315", + "pull_request:13335", + "pull_request:13338", + "pull_request:13340", + "pull_request:13341", + "pull_request:13352", + "pull_request:1415", + "pull_request:1423", + "pull_request:1490", + "pull_request:1508", + "pull_request:1564", + "pull_request:178", + "pull_request:1998", + "pull_request:2406", + "pull_request:2569", + "pull_request:309", + "pull_request:325", + "pull_request:327", + "pull_request:3470", + "pull_request:3472", + "pull_request:3525", + "pull_request:4188", + "pull_request:4285", + "pull_request:4351", + "pull_request:4612", + "pull_request:5267", + "pull_request:555", + "pull_request:6119", + "pull_request:6346", + "pull_request:7166", + "pull_request:889", + "pull_request:9040", + "pull_request:912", + "pull_request:9423", + "pull_request:9765" + ], + "soft_pairs": [ + "pull_request:4188|pull_request:6346", + "pull_request:10323|pull_request:10434", + "pull_request:11879|pull_request:11895", + "pull_request:12490|pull_request:13293", + "pull_request:13338|pull_request:13352", + "pull_request:1508|pull_request:1564", + "pull_request:6119|pull_request:7166", + "pull_request:9040|pull_request:9423", + "pull_request:10319|pull_request:9765", + "pull_request:11257|pull_request:11701", + "pull_request:12675|pull_request:12883", + "pull_request:1291|pull_request:1415", + "pull_request:13254|pull_request:13340", + "pull_request:13315|pull_request:13340", + "pull_request:13335|pull_request:13340", + "pull_request:13340|pull_request:13341", + "pull_request:1415|pull_request:309", + "pull_request:1423|pull_request:555", + "pull_request:1490|pull_request:912", + "pull_request:178|pull_request:555", + "pull_request:178|pull_request:889", + "pull_request:1998|pull_request:3525", + "pull_request:2406|pull_request:4612", + "pull_request:2569|pull_request:4285", + "pull_request:325|pull_request:327", + "pull_request:3470|pull_request:3472", + "pull_request:3525|pull_request:4351", + "pull_request:4351|pull_request:5267" + ], + "prepared_review_unit_hash": "64f96b13f73e634cb0edca70a6f3ed86b3ead49fef92a076dbaff9633c84fb61", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 96312, + "estimated_input_tokens": 24078, + "estimated_eval_tokens": 48412 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose collection of small docs, tests, and workflow PRs rather than one shared bug. I only accept two soft edges where the changes look genuinely the same: the style bot token swap and the DreamBooth IF docs additions.", + "confidence": 0.44, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10434 is the best representative: it is a broad docs-link fix, has an explicit issue target, and is the clearest central example among the mostly documentation-focused items.", + "best_issue_reason": null, + "best_pr_reason": "PR 10434 is the strongest standalone representative overall because it addresses a concrete broken-links docs problem across many files and is explicitly tied to an issue.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4188", + "right": "pull_request:6346", + "accept": false, + "reason": "Both are training-example follow-ups, but they fix different concrete problems: dataset caching/fingerprint handling vs LoRA state-dict conversion/loading." + }, + { + "left": "pull_request:10323", + "right": "pull_request:10434", + "accept": false, + "reason": "Both are docs link fixes, but they target different pages/files and different broken-link sets, so they are not the same underlying change." + }, + { + "left": "pull_request:11879", + "right": "pull_request:11895", + "accept": false, + "reason": "Both remove deprecated tests, but they affect different deprecated pipelines and are separate cleanup changes." + }, + { + "left": "pull_request:12490", + "right": "pull_request:13293", + "accept": false, + "reason": "These are unrelated Audioldm2 test/pipeline fixes: one adjusts ClapConfig in tests, the other changes cache-position logic in the pipeline." + }, + { + "left": "pull_request:13338", + "right": "pull_request:13352", + "accept": false, + "reason": "Same workflow file, but different fixes: one adds id-token permission and the other adds a checkout step. They are not the same code-path problem." + }, + { + "left": "pull_request:1508", + "right": "pull_request:1564", + "accept": false, + "reason": "Both touch DreamBooth docs, but one clarifies num_class_images and the other documents default accelerate config; these are separate documentation changes." + }, + { + "left": "pull_request:6119", + "right": "pull_request:7166", + "accept": false, + "reason": "Both involve SDXL LoRA training, but one fixes fp16 gradient scaling and the other fixes loading state into the wrong text encoder; different bugs." + }, + { + "left": "pull_request:9040", + "right": "pull_request:9423", + "accept": false, + "reason": "Both add differential diffusion community examples, but for different pipelines/models, so they are separate feature additions." + }, + { + "left": "pull_request:10319", + "right": "pull_request:9765", + "accept": false, + "reason": "Both are docstring typo fixes, but for different pipeline classes and files; they are not the same underlying change." + }, + { + "left": "pull_request:11257", + "right": "pull_request:11701", + "accept": true, + "reason": "These look like the same style-bot workflow token replacement in the same file and line, just with a different secret name/finalization of the same change." + }, + { + "left": "pull_request:12675", + "right": "pull_request:12883", + "accept": false, + "reason": "Both are typo fixes in quantization docs, but they touch different pages and different misspellings, so they are separate edits." + }, + { + "left": "pull_request:1291", + "right": "pull_request:1415", + "accept": false, + "reason": "Both mention Stable Diffusion links, but one is a single README notebook link fix while the other is a broad multi-file docs cleanup; not the same change." + }, + { + "left": "pull_request:13254", + "right": "pull_request:13340", + "accept": false, + "reason": "These are refactors for different transformer test files (LTX vs SD3), so they do not share one concrete bug or change." + }, + { + "left": "pull_request:13315", + "right": "pull_request:13340", + "accept": false, + "reason": "Different transformer test refactors for different models (Sana vs SD3); same refactor theme, but not the same underlying change." + }, + { + "left": "pull_request:13335", + "right": "pull_request:13340", + "accept": false, + "reason": "Different transformer test refactors (Cosmos vs SD3) with separate model coverage, not one mergeable fix." + }, + { + "left": "pull_request:13340", + "right": "pull_request:13341", + "accept": false, + "reason": "Both are transformer test refactors, but for different models and test concerns (SD3 vs Bria), so they are not duplicates." + }, + { + "left": "pull_request:1415", + "right": "pull_request:309", + "accept": false, + "reason": "Both fix Stable Diffusion links, but one is a broad docs sweep while the other is a single notebook link in README; not the same concrete issue." + }, + { + "left": "pull_request:1423", + "right": "pull_request:555", + "accept": false, + "reason": "These are unrelated Flax changes: one adds Stable Diffusion 2 support, the other adds a Flax VAE model." + }, + { + "left": "pull_request:1490", + "right": "pull_request:912", + "accept": false, + "reason": "Both are version/deprecation-related, but one is a version bump plus deprecation cleanup while the other is just the version bump." + }, + { + "left": "pull_request:178", + "right": "pull_request:555", + "accept": false, + "reason": "A Stable Diffusion pipeline test and a Flax VAE addition are unrelated changes." + }, + { + "left": "pull_request:178", + "right": "pull_request:889", + "accept": false, + "reason": "Pipeline tests and a components-function feature are different changes with no shared bug." + }, + { + "left": "pull_request:1998", + "right": "pull_request:3525", + "accept": false, + "reason": "Both edit README content, but one adds DreamBooth blog post text and the other is a broad marketing/intro rewrite; unrelated." + }, + { + "left": "pull_request:2406", + "right": "pull_request:4612", + "accept": false, + "reason": "Both touch controlling-generation docs, but they fix different issues: prose/organization vs broken links." + }, + { + "left": "pull_request:2569", + "right": "pull_request:4285", + "accept": false, + "reason": "OpenVINO-only docs and combined OpenVINO/ONNX SDXL docs are related topics but different documentation additions, not one duplicate fix." + }, + { + "left": "pull_request:325", + "right": "pull_request:327", + "accept": false, + "reason": "Two different pipeline type-hint PRs for different schedulers/models; same style, but not the same concrete change." + }, + { + "left": "pull_request:3470", + "right": "pull_request:3472", + "accept": true, + "reason": "Both add the same DreamBooth IF training documentation and examples in different docs locations, so they are effectively the same underlying docs change." + }, + { + "left": "pull_request:3525", + "right": "pull_request:4351", + "accept": false, + "reason": "Both modify README.md, but one is a content rewrite and the other is only a path/image-hosting fix; separate changes." + }, + { + "left": "pull_request:4351", + "right": "pull_request:5267", + "accept": false, + "reason": "A README image-path fix and a docs README formatting cleanup are unrelated edits." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 251, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10021", + "pull_request:10330", + "pull_request:10378", + "pull_request:11428", + "pull_request:11522", + "pull_request:11534", + "pull_request:11913", + "pull_request:11995", + "pull_request:11997", + "pull_request:12086", + "pull_request:12490", + "pull_request:12660", + "pull_request:12909", + "pull_request:2464", + "pull_request:2795", + "pull_request:325", + "pull_request:359", + "pull_request:4262", + "pull_request:4351", + "pull_request:4451", + "pull_request:4472", + "pull_request:4574", + "pull_request:4597", + "pull_request:4694", + "pull_request:4749", + "pull_request:4833", + "pull_request:5003", + "pull_request:5093", + "pull_request:5201", + "pull_request:555", + "pull_request:5697", + "pull_request:5855", + "pull_request:6314", + "pull_request:6462", + "pull_request:6647", + "pull_request:6837", + "pull_request:6907", + "pull_request:6939", + "pull_request:7335", + "pull_request:7425", + "pull_request:8755", + "pull_request:8798", + "pull_request:889", + "pull_request:8913", + "pull_request:9249", + "pull_request:9860", + "pull_request:9893", + "pull_request:9938" + ], + "soft_pairs": [ + "pull_request:4351|pull_request:5855", + "pull_request:4472|pull_request:4574", + "pull_request:555|pull_request:889", + "pull_request:6314|pull_request:6462", + "pull_request:6647|pull_request:7335", + "pull_request:6837|pull_request:7425", + "pull_request:9249|pull_request:9860", + "pull_request:11913|pull_request:11997", + "pull_request:4262|pull_request:4749", + "pull_request:8798|pull_request:8913", + "pull_request:11995|pull_request:12086", + "pull_request:4451|pull_request:5093", + "pull_request:4833|pull_request:5003", + "pull_request:4597|pull_request:4694", + "pull_request:12660|pull_request:12909", + "pull_request:6907|pull_request:6939", + "pull_request:11428|pull_request:11534", + "pull_request:10378|pull_request:8755", + "pull_request:325|pull_request:359", + "pull_request:5201|pull_request:5697", + "pull_request:9893|pull_request:9938", + "pull_request:10021|pull_request:10330", + "pull_request:2464|pull_request:2795", + "pull_request:11522|pull_request:12490" + ], + "prepared_review_unit_hash": "4c8707f1d2bfc70d8b358b90fab1f4df77fcf39f4cf976ad12c1b2be76da272b", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 101970, + "estimated_input_tokens": 25493, + "estimated_eval_tokens": 51242 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated PRs spanning docs, examples, modular-pipeline feature work, and bugfixes. I only see a few genuine duplicate-style overlaps: subfolder sharded checkpoint loading, LoRA fuse/unfuse behavior, and the slow\u2192nightly test marker migration.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true duplicate cluster emerges here; #4694 is the best anchor because it is a broad, self-contained feature PR with the highest engagement and a clear scope.", + "best_issue_reason": null, + "best_pr_reason": "#4694 is the strongest representative PR in the set: substantial, self-contained, and heavily reviewed, making it the best single anchor even though the cluster is not really a duplicate set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4351", + "right": "pull_request:5855", + "accept": false, + "reason": "Different documentation fixes in unrelated files; not the same underlying change." + }, + { + "left": "pull_request:4472", + "right": "pull_request:4574", + "accept": false, + "reason": "Both touch docs, but one is an SDXL README cleanup and the other is InstructPix2Pix README push_to_hub mentions; separate changes." + }, + { + "left": "pull_request:555", + "right": "pull_request:889", + "accept": false, + "reason": "Unrelated core changes: adding Flax VAE vs adding a components API to DiffusionPipeline." + }, + { + "left": "pull_request:6314", + "right": "pull_request:6462", + "accept": false, + "reason": "Both are paper-link doc fixes, but for different models and pages; not the same change." + }, + { + "left": "pull_request:6647", + "right": "pull_request:7335", + "accept": false, + "reason": "Different test updates for different pipelines; no shared bug or concrete code path." + }, + { + "left": "pull_request:6837", + "right": "pull_request:7425", + "accept": false, + "reason": "Unrelated docs tweaks in different tutorials/pipelines; not a duplicate fix." + }, + { + "left": "pull_request:9249", + "right": "pull_request:9860", + "accept": false, + "reason": "Same example family, but the latter is a follow-up extending the example to SD3.5 rather than the same underlying change." + }, + { + "left": "pull_request:11913", + "right": "pull_request:11997", + "accept": false, + "reason": "Same modular subsystem, but one adds Wan text-to-video support and the other adds Wan I2V/FLF2V extensions; distinct feature work." + }, + { + "left": "pull_request:4262", + "right": "pull_request:4749", + "accept": false, + "reason": "Both touch SDXL DreamBooth LoRA, but they fix different behaviors: training/checkpointing vs text-encoder LoRA loading." + }, + { + "left": "pull_request:8798", + "right": "pull_request:8913", + "accept": true, + "reason": "Both fix loading sharded checkpoints from a subfolder; this is the same loader-path bug with hub/local variants." + }, + { + "left": "pull_request:11995", + "right": "pull_request:12086", + "accept": false, + "reason": "Related modular Flux work, but text-to-image modular support and I2I support are separate feature additions." + }, + { + "left": "pull_request:4451", + "right": "pull_request:5093", + "accept": true, + "reason": "Both perform the same mechanical migration of tests from @slow to @nightly across the suite." + }, + { + "left": "pull_request:4833", + "right": "pull_request:5003", + "accept": true, + "reason": "Both address LoRA fuse/unfuse behavior in the same code path; these are compatible parts of one fix." + }, + { + "left": "pull_request:4597", + "right": "pull_request:4694", + "accept": false, + "reason": "Same ControlNet area, but SDXL MultiControlNet support and SDXL inpainting are different features." + }, + { + "left": "pull_request:12660", + "right": "pull_request:12909", + "accept": false, + "reason": "Both are context-parallel fixes, but they target different model implementations (ChronoEdit vs Wan) and are not the same concrete patch." + }, + { + "left": "pull_request:6907", + "right": "pull_request:6939", + "accept": false, + "reason": "Both standardize model cards, but for different examples and different scripts; not one duplicate bug/change." + }, + { + "left": "pull_request:11428", + "right": "pull_request:11534", + "accept": false, + "reason": "Closely related feature work, but Framepack and Framepack F1 are distinct follow-up changes rather than the same PR-worthy bug fix." + }, + { + "left": "pull_request:10378", + "right": "pull_request:8755", + "accept": false, + "reason": "Same DreamBooth SD3 script, but one is DS support and the other is text-encoder training fix; separate changes." + }, + { + "left": "pull_request:325", + "right": "pull_request:359", + "accept": false, + "reason": "Different type-hint cleanups in unrelated modules; no shared underlying change." + }, + { + "left": "pull_request:5201", + "right": "pull_request:5697", + "accept": false, + "reason": "Both involve LoRA/xformers, but they fix different symptoms and code paths; not one mergeable change." + }, + { + "left": "pull_request:9893", + "right": "pull_request:9938", + "accept": false, + "reason": "Both update community reference docs, but one adds an SDXL ControlNet reference pipeline while the other updates the SDXL reference pipeline." + }, + { + "left": "pull_request:10021", + "right": "pull_request:10330", + "accept": false, + "reason": "Second PR is a version/update follow-up for LTX Video, not the same underlying implementation change as the first." + }, + { + "left": "pull_request:2464", + "right": "pull_request:2795", + "accept": false, + "reason": "Different example training scripts and different fixes; not the same concrete bug or change." + }, + { + "left": "pull_request:11522", + "right": "pull_request:12490", + "accept": false, + "reason": "Both touch AudioLDM2 tests, but one fixes transformers-version compatibility and the other fixes ClapConfig construction; separate issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 252, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10005", + "pull_request:10109", + "pull_request:10183", + "pull_request:10222", + "pull_request:10278", + "pull_request:10394", + "pull_request:1041", + "pull_request:10434", + "pull_request:10819", + "pull_request:1087", + "pull_request:10947", + "pull_request:1103", + "pull_request:1104", + "pull_request:1137", + "pull_request:11431", + "pull_request:11473", + "pull_request:11505", + "pull_request:11537", + "pull_request:11634", + "pull_request:11857", + "pull_request:121", + "pull_request:1210", + "pull_request:12272", + "pull_request:1230", + "pull_request:12442", + "pull_request:12487", + "pull_request:12526", + "pull_request:12775", + "pull_request:12856", + "pull_request:1291", + "pull_request:13253", + "pull_request:13340", + "pull_request:1437", + "pull_request:1467", + "pull_request:1998", + "pull_request:2271", + "pull_request:2362", + "pull_request:2396", + "pull_request:2757", + "pull_request:2766", + "pull_request:2846", + "pull_request:3127", + "pull_request:3166", + "pull_request:353", + "pull_request:5674", + "pull_request:6122", + "pull_request:9015" + ], + "soft_pairs": [ + "pull_request:12442|pull_request:12526", + "pull_request:11431|pull_request:11537", + "pull_request:5674|pull_request:6122", + "pull_request:1137|pull_request:3127", + "pull_request:10005|pull_request:10819", + "pull_request:10109|pull_request:10222", + "pull_request:10183|pull_request:10947", + "pull_request:10278|pull_request:11473", + "pull_request:10278|pull_request:9015", + "pull_request:10394|pull_request:11634", + "pull_request:1041|pull_request:2396", + "pull_request:10434|pull_request:11505", + "pull_request:1087|pull_request:1467", + "pull_request:1103|pull_request:3166", + "pull_request:1104|pull_request:2362", + "pull_request:11505|pull_request:12487", + "pull_request:11857|pull_request:12272", + "pull_request:121|pull_request:1998", + "pull_request:1210|pull_request:1467", + "pull_request:1230|pull_request:2766", + "pull_request:12775|pull_request:12856", + "pull_request:1291|pull_request:2757", + "pull_request:13253|pull_request:13340", + "pull_request:1437|pull_request:353", + "pull_request:1467|pull_request:2271", + "pull_request:1467|pull_request:2846" + ], + "prepared_review_unit_hash": "dbd17ec45d14efda4e328941b40c7dc3f833d4a08edfc5ae56400ca19d1c60da", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 100499, + "estimated_input_tokens": 25125, + "estimated_eval_tokens": 50506 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated docs/test/feature PRs. The only clear duplicate-like pair is the Wan2.2 Animate feature work, where #12526 is a direct continuation/superset of #12442. 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different problems." + }, + { + "left": "pull_request:11505", + "right": "pull_request:12487", + "accept": false, + "reason": "Both are docs link-fix PRs, but #12487 is a much broader sweep; the overlap is thematic, not the same concrete change." + }, + { + "left": "pull_request:11857", + "right": "pull_request:12272", + "accept": false, + "reason": "Flux docs reference updates vs Flux modular pipeline logic changes; different artifacts and bugs." + }, + { + "left": "pull_request:121", + "right": "pull_request:1998", + "accept": false, + "reason": "README examples vs a DreamBooth blog-post reference; unrelated documentation updates." + }, + { + "left": "pull_request:1210", + "right": "pull_request:1467", + "accept": false, + "reason": "Both mention test stability, but they fix different pipelines/schedulers and different failure modes." + }, + { + "left": "pull_request:1230", + "right": "pull_request:2766", + "accept": false, + "reason": "Both are MPS-related test fixes, but they address different concrete issues in different test areas." + }, + { + "left": "pull_request:12775", + "right": "pull_request:12856", + "accept": false, + "reason": "The first adds Z-Image docs, the second adds the Z-Image implementation; 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Different problems." + }, + { + "left": "pull_request:1998", + "right": "pull_request:252", + "accept": false, + "reason": "Both are README/docs updates, but they are about unrelated content and different pages." + }, + { + "left": "pull_request:2271", + "right": "pull_request:3989", + "accept": false, + "reason": "Both are test-fix PRs, but they target different pipelines and different failing tests." + }, + { + "left": "pull_request:2362", + "right": "pull_request:2792", + "accept": false, + "reason": "Both relate to MPS skips, but they modify different test suites and are separate follow-up coverage changes rather than the same patch." + }, + { + "left": "pull_request:2383", + "right": "pull_request:3217", + "accept": false, + "reason": "Different utilities and different code paths; only the general theme of adding helpers is shared." + }, + { + "left": "pull_request:2446", + "right": "pull_request:3987", + "accept": false, + "reason": "Unrelated docs snippets for different pipelines." + }, + { + "left": "pull_request:2846", + "right": "pull_request:3989", + "accept": false, + "reason": "Both are slow-test fixes, but they affect different pipelines and different failure modes." + }, + { + "left": "pull_request:2935", + "right": "pull_request:3119", + "accept": false, + "reason": "Both mention RePaint docs, but one is a typo cleanup and the other updates an interface example; 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Related, but not the same concrete change." + }, + { + "left": "pull_request:326", + "right": "pull_request:349", + "accept": false, + "reason": "Both are typing-oriented scheduler/model changes, but they modify different classes and are unrelated." + }, + { + "left": "pull_request:11254", + "right": "pull_request:12425", + "accept": false, + "reason": "Different import-guard fixes for different optional/torch.distributed modules. Same theme, not the same bug." + }, + { + "left": "pull_request:1137", + "right": "pull_request:2693", + "accept": false, + "reason": "One fixes a dtype issue in the inpaint pipeline safety checker; the other only fixes a documentation image link." + }, + { + "left": "pull_request:13042", + "right": "pull_request:13275", + "accept": false, + "reason": "Both are test fixes, but they target different pipelines and different failure modes. 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not a duplicate fix." + }, + { + "left": "pull_request:5983", + "right": "pull_request:6466", + "accept": false, + "reason": "Both touch the SVD doc, but one adjusts embedded media/formatting while the other removes the video block and rewrites the layout." + }, + { + "left": "pull_request:5983", + "right": "pull_request:6475", + "accept": false, + "reason": "Doc polish vs. pipeline type annotation fix; unrelated changes." + }, + { + "left": "pull_request:5983", + "right": "pull_request:7015", + "accept": false, + "reason": "SVD doc tweaks and from_single_file doc/example fixes are different concrete tasks." + }, + { + "left": "pull_request:6647", + "right": "pull_request:7564", + "accept": false, + "reason": "SDXL k-diffusion test expectation update vs. broad pipeline test fixes; not the same bug." + }, + { + "left": "pull_request:70", + "right": "pull_request:78", + "accept": false, + "reason": "Both touch mid-block attention internals, but 70 is a broader architectural update while 78 is a separate mid-block fix." + }, + { + "left": "pull_request:7050", + "right": "pull_request:7068", + "accept": false, + "reason": "Typo fixes in text-to-image examples vs. broader typo fixes across other docs/code; related theme, different edits." + }, + { + "left": "pull_request:7050", + "right": "pull_request:7451", + "accept": false, + "reason": "Same general typo-fix theme, but 7451 is a much broader doc sweep across many files, not a duplicate of the text-to-image-only edits." + }, + { + "left": "pull_request:7068", + "right": "pull_request:7118", + "accept": false, + "reason": "General typo cleanup vs. docs fixes for IP-Adapter usage; different files and intent." + }, + { + "left": "pull_request:7564", + "right": "pull_request:8656", + "accept": false, + "reason": "A collection of pipeline test fixes vs. shard-checkpoint loading fixes; different underlying problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 264, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10858", + "pull_request:11428", + "pull_request:11522", + "pull_request:11546", + "pull_request:12018", + "pull_request:12069", + "pull_request:12490", + "pull_request:130", + "pull_request:13275", + "pull_request:13442", + "pull_request:13469", + "pull_request:1564", + "pull_request:2001", + "pull_request:2062", + "pull_request:2172", + "pull_request:2406", + "pull_request:2490", + "pull_request:2595", + "pull_request:2693", + "pull_request:327", + "pull_request:3397", + "pull_request:343", + "pull_request:3471", + "pull_request:349", + "pull_request:4262", + "pull_request:4666", + "pull_request:4749", + "pull_request:4833", + "pull_request:5201", + "pull_request:5639", + "pull_request:6645", + "pull_request:6759", + "pull_request:7024", + "pull_request:7206", + "pull_request:7825", + "pull_request:788", + "pull_request:7977", + "pull_request:800", + "pull_request:8498", + "pull_request:8845", + "pull_request:8913", + "pull_request:9040", + "pull_request:9086", + "pull_request:9206", + "pull_request:9506", + "pull_request:9597", + "pull_request:971" + ], + "soft_pairs": [ + "pull_request:7825|pull_request:9206", + "pull_request:7977|pull_request:8845", + "pull_request:800|pull_request:971", + "pull_request:8498|pull_request:8845", + "pull_request:11522|pull_request:12069", + "pull_request:12490|pull_request:13442", + "pull_request:327|pull_request:343", + "pull_request:3397|pull_request:3471", + "pull_request:4262|pull_request:4666", + "pull_request:11428|pull_request:11546", + "pull_request:2001|pull_request:2062", + "pull_request:4749|pull_request:5201", + "pull_request:6645|pull_request:6759", + "pull_request:327|pull_request:349", + "pull_request:13275|pull_request:13469", + "pull_request:5639|pull_request:7024", + "pull_request:7206|pull_request:9086", + "pull_request:9040|pull_request:9597", + "pull_request:130|pull_request:1564", + "pull_request:2693|pull_request:788", + "pull_request:4833|pull_request:5201", + "pull_request:8913|pull_request:9506", + "pull_request:10858|pull_request:12018", + "pull_request:2172|pull_request:2595", + "pull_request:2406|pull_request:2490" + ], + "prepared_review_unit_hash": "9a978b8ac93f6d7a23f8f12e8b21ec79d21da3b28eeacb085fba1593da97cc27", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 94529, + "estimated_input_tokens": 23633, + "estimated_eval_tokens": 47522 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated docs/tests/example PRs that only look similar at a broad topical level. I only accept the two AudioLDM2 PRs as the same underlying code-path fix; the rest are false positives.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a good canonical representative for the whole cluster; the items span many unrelated fixes and docs-only changes.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR: the cluster is too heterogeneous, and most pairs are not true duplicates or mergeable into one change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7825", + "right": "pull_request:9206", + "accept": false, + "reason": "Both are test-related, but they fix different failure modes in different areas (modeling common offload tests vs xformers attention tests)." + }, + { + "left": "pull_request:7977", + "right": "pull_request:8845", + "accept": false, + "reason": "Both are typo fixes, but in unrelated files and contexts; not the same underlying change." + }, + { + "left": "pull_request:800", + "right": "pull_request:971", + "accept": false, + "reason": "VQ Diffusion integration and bit diffusion community docs/code are different features, not one bug or change." + }, + { + "left": "pull_request:8498", + "right": "pull_request:8845", + "accept": false, + "reason": "A doc typo fix in Stable Diffusion 3 is unrelated to a typo fix in PAG tests." + }, + { + "left": "pull_request:11522", + "right": "pull_request:12069", + "accept": true, + "reason": "Both modify the same AudioLDM2 language-model cache-position logic in the same file, addressing the same transformers-compatibility code path; they could plausibly be merged into one PR." + }, + { + "left": "pull_request:12490", + "right": "pull_request:13442", + "accept": false, + "reason": "Both touch AudioLDM2-related tests/examples, but they target different config issues and do not fix the same bug." + }, + { + "left": "pull_request:327", + "right": "pull_request:343", + "accept": false, + "reason": "These are separate type-hint 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"pull_request:4749", + "right": "pull_request:5201", + "accept": false, + "reason": "These address different LoRA issues: SDXL checkpointing vs xformers attention processor behavior." + }, + { + "left": "pull_request:6645", + "right": "pull_request:6759", + "accept": false, + "reason": "A community README edit and an InstantID example fix are not the same underlying change." + }, + { + "left": "pull_request:327", + "right": "pull_request:349", + "accept": false, + "reason": "Both are typing-only updates, but for different scheduler classes and different code paths." + }, + { + "left": "pull_request:13275", + "right": "pull_request:13469", + "accept": false, + "reason": "Hunyuan test kwargs and deprecated attention-processor tests are unrelated." + }, + { + "left": "pull_request:5639", + "right": "pull_request:7024", + "accept": false, + "reason": "Both add AnimateDiff docs sections, but they cover different features (Motion LoRAs vs AnimateLCM)." + }, + { + "left": "pull_request:7206", + "right": "pull_request:9086", + "accept": false, + "reason": "Training-script tags metadata and Flux DreamBooth LoRA scripts are unrelated changes." + }, + { + "left": "pull_request:9040", + "right": "pull_request:9597", + "accept": false, + "reason": "Both touch the community README, but they add different community entries/features and are not duplicates." + }, + { + "left": "pull_request:130", + "right": "pull_request:1564", + "accept": false, + "reason": "General accelerate setup guidance versus default accelerate config are different documentation changes." + }, + { + "left": "pull_request:2693", + "right": "pull_request:788", + "accept": false, + "reason": "An inpaint doc image-link fix is unrelated to PIL sampler warning fixes in training/image pipelines." + }, + { + "left": "pull_request:4833", + "right": "pull_request:5201", + "accept": false, + "reason": "Different LoRA fixes: one is unfusing/saving LoRA weights, the other is xformers attention processor behavior." + }, + { + "left": "pull_request:8913", + "right": "pull_request:9506", + "accept": false, + "reason": "Local sharded-checkpoint loading and docs/path cleanup are unrelated." + }, + { + "left": "pull_request:10858", + "right": "pull_request:12018", + "accept": false, + "reason": "Both are docs fixes, but they target different pages and issues." + }, + { + "left": "pull_request:2172", + "right": "pull_request:2595", + "accept": false, + "reason": "Multi-GPU validation logic and scheduler switching are separate problems." + }, + { + "left": "pull_request:2406", + "right": "pull_request:2490", + "accept": false, + "reason": "A docs nits cleanup and adding MultiDiffusion content are not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 265, + 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"pull_request:5768", + "pull_request:5828", + "pull_request:6342", + "pull_request:6759", + "pull_request:7050", + "pull_request:7131", + "pull_request:7246", + "pull_request:7451", + "pull_request:7825", + "pull_request:7827", + "pull_request:8230", + "pull_request:8797", + "pull_request:9207", + "pull_request:9696" + ], + "soft_pairs": [ + "pull_request:2526|pull_request:3942", + "pull_request:2637|pull_request:2748", + "pull_request:3945|pull_request:4343", + "pull_request:4626|pull_request:6342", + "pull_request:4862|pull_request:5665", + "pull_request:5003|pull_request:5157", + "pull_request:5768|pull_request:5828", + "pull_request:7246|pull_request:8797", + "pull_request:7825|pull_request:9696", + "pull_request:7827|pull_request:8230", + "pull_request:12006|pull_request:12041", + "pull_request:3351|pull_request:3476", + "pull_request:3589|pull_request:4498", + "pull_request:3586|pull_request:3590", + "pull_request:4262|pull_request:5615", + "pull_request:4572|pull_request:4749", 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"summary": "These soft edges mostly connect unrelated docs/test fixes or separate feature work in the same broad subsystem. None look like the same underlying bug or change, so I reject all candidate duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true canonical PR: the items are heterogeneous and do not form a single duplicate change set.", + "best_issue_reason": null, + "best_pr_reason": "If a representative is needed, pull_request:11353 is the broadest self-contained feature PR here (Wan FLF2V support across pipeline, converter, docs, and tests), but it is not a duplicate of the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2526", + "right": "pull_request:3942", + "accept": false, + "reason": "Both touch tests, but they fix different failures in different test paths; not the same bug." + }, + { + "left": "pull_request:2637", + "right": "pull_request:2748", + "accept": false, + "reason": "Separate typo/doc cleanup PRs in different files; no shared underlying change." + }, + { + "left": "pull_request:3945", + "right": "pull_request:4343", + "accept": false, + "reason": "Both add a rank arg, but for different DreamBooth LoRA scripts and code paths (SD vs SDXL)." + }, + { + "left": "pull_request:4626", + "right": "pull_request:6342", + "accept": false, + "reason": "Unrelated documentation updates in different areas; not the same change." + }, + { + "left": "pull_request:4862", + "right": "pull_request:5665", + "accept": false, + "reason": "Both are ControlNet img2img fixes, but they address different bugs in different preprocessing steps." + }, + { + "left": "pull_request:5003", + "right": "pull_request:5157", + "accept": false, + "reason": "One fixes LoRA fuse/unfuse behavior; the other fixes LoRA conversion naming. Different issues." + }, + { + "left": "pull_request:5768", + "right": "pull_request:5828", + "accept": false, + "reason": "Docs change vs test/memory fix for the same model family, but not the same bug or patch." + }, + { + "left": "pull_request:7246", + "right": "pull_request:8797", + "accept": false, + "reason": "Both are test stability changes, but they target different test cases and failure modes." + }, + { + "left": "pull_request:7825", + "right": "pull_request:9696", + "accept": false, + "reason": "Model device-map test fixes versus a workflow update; unrelated changes." + }, + { + "left": "pull_request:7827", + "right": "pull_request:8230", + "accept": false, + "reason": "Both mention CPU offloading, but one is a docstring fix and the other is broader documentation usage updates." + }, + { + "left": "pull_request:12006", + "right": "pull_request:12041", + "accept": false, + "reason": "Wan feature addition versus Wan VAE patching bug fix; different code paths." + }, + { + "left": "pull_request:3351", + "right": "pull_request:3476", + "accept": false, + "reason": "Same parameter name, but added to different schedulers; separate implementations and patches." + }, + { + "left": "pull_request:3589", + "right": "pull_request:4498", + "accept": false, + "reason": "Both reference-control related, but one is README guidance and the other adds SDXL reference support." + }, + { + "left": "pull_request:3586", + "right": "pull_request:3590", + "accept": false, + "reason": "Different community example pipelines (tiling vs canvas); not one underlying change." + }, + { + "left": "pull_request:4262", + "right": "pull_request:5615", + "accept": false, + "reason": "DreamBooth LoRA fixes vs an SDXL adapter load_lora revert; unrelated code paths." + }, + { + "left": "pull_request:4572", + "right": "pull_request:4749", + "accept": false, + "reason": "A variable rename fix in one example versus SDXL DreamBooth checkpointing logic; different bugs." + }, + { + "left": "pull_request:4749", + "right": "pull_request:6759", + "accept": false, + "reason": "Checkpointing/loading fix versus InstantID prompt embedding repeat fix; unrelated changes." + }, + { + "left": "pull_request:7050", + "right": "pull_request:7131", + "accept": false, + "reason": "Both are typo/doc cleanup, but they touch different documents and content." + }, + { + "left": "pull_request:7451", + "right": "pull_request:9207", + "accept": false, + "reason": "Separate docs typo cleanup versus CPU offloading usage docs; not the same issue." + }, + { + "left": "pull_request:11353", + "right": "pull_request:11726", + "accept": false, + "reason": "Wan FLF2V support versus Wan LoRA conversion support; different features and code paths." + }, + { + "left": "pull_request:11479", + "right": "pull_request:11728", + "accept": false, + "reason": "Intel Gaudi docs update versus doc-builder Dockerfile package additions; unrelated." + }, + { + "left": "pull_request:1229", + "right": "pull_request:1564", + "accept": false, + "reason": "Both DreamBooth docs, but they address different setup instructions and problems." + }, + { + "left": "pull_request:1229", + "right": "pull_request:2367", + "accept": false, + "reason": "README install guidance versus training-script checkpoint management; unrelated." + }, + { + "left": "pull_request:1527", + "right": "pull_request:2693", + "accept": false, + "reason": "Inpaint pipeline code fix versus a doc image-link fix; not the same change." + }, + { + "left": "pull_request:154", + "right": "pull_request:168", + "accept": false, + "reason": "Different early project changes: a conversion script addition versus pipeline export/initialization work." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 266, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10192", + "pull_request:10941", + "pull_request:11655", + "pull_request:1269", + "pull_request:13121", + "pull_request:13217", + "pull_request:1508", + "pull_request:154", + "pull_request:1554", + "pull_request:1788", + "pull_request:1951", + "pull_request:2009", + "pull_request:2367", + "pull_request:2565", + "pull_request:2892", + "pull_request:2928", + "pull_request:2976", + "pull_request:326", + "pull_request:3370", + "pull_request:3446", + "pull_request:3471", + "pull_request:3568", + "pull_request:359", + "pull_request:360", + "pull_request:3641", + "pull_request:4272", + "pull_request:4621", + "pull_request:4856", + "pull_request:5090", + "pull_request:5299", + "pull_request:5391", + "pull_request:5411", + "pull_request:5759", + "pull_request:5898", + "pull_request:6119", + "pull_request:6330", + "pull_request:6645", + "pull_request:7200", + "pull_request:7246", + "pull_request:7319", + "pull_request:7857", + "pull_request:7919", + "pull_request:822", + "pull_request:827", + "pull_request:8797", + "pull_request:9206", + "pull_request:9676", + "pull_request:98" + ], + "soft_pairs": [ + "pull_request:154|pull_request:98", + "pull_request:1554|pull_request:2565", + "pull_request:1788|pull_request:3641", + "pull_request:1951|pull_request:3370", + "pull_request:2367|pull_request:2928", + "pull_request:2892|pull_request:3446", + "pull_request:2892|pull_request:3641", + "pull_request:2892|pull_request:4272", + "pull_request:2976|pull_request:4856", + "pull_request:3568|pull_request:5411", + "pull_request:4621|pull_request:6119", + "pull_request:5090|pull_request:6645", + "pull_request:5391|pull_request:5759", + "pull_request:7319|pull_request:7857", + "pull_request:822|pull_request:827", + "pull_request:10192|pull_request:11655", + "pull_request:1269|pull_request:2009", + "pull_request:1508|pull_request:3471", + "pull_request:5299|pull_request:5759", + "pull_request:7200|pull_request:7919", + "pull_request:10941|pull_request:9676", + "pull_request:326|pull_request:359", + "pull_request:326|pull_request:360", + "pull_request:5898|pull_request:6330", + "pull_request:7246|pull_request:9206", + "pull_request:8797|pull_request:9206", + "pull_request:13121|pull_request:13217" + ], + "prepared_review_unit_hash": "af003c04f677d177fb881bca8dd4bde44441e2d5baf6c7a73d7e8847358d6b4d", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 104201, + "estimated_input_tokens": 26051, + "estimated_eval_tokens": 52358 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a set of loosely similar but mostly unrelated PRs spanning docs, type hints, scheduler fixes, training scripts, and separate pipeline features. 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separate changes." + }, + { + "left": "pull_request:11635", + "right": "pull_request:11897", + "accept": false, + "reason": "No shared underlying change: Flux Kontext pipeline docs/code vs a broad test-merge workflow/docs update." + }, + { + "left": "pull_request:2322", + "right": "pull_request:433", + "accept": false, + "reason": "Completely unrelated changes across example inpaint code and build/dependency/doc updates." + }, + { + "left": "pull_request:2691", + "right": "pull_request:4294", + "accept": false, + "reason": "Both are rename/compatibility cleanups, but they touch different APIs and different model families." + }, + { + "left": "pull_request:391", + "right": "pull_request:416", + "accept": false, + "reason": "Different docs/features: PNDM docs vs broad model API docs reorganization." + }, + { + "left": "pull_request:12982", + "right": "pull_request:13002", + "accept": false, + "reason": "Both are Flux2/Klein-related, but 13002 is a broader modular support PR and not the same concrete change as 12982." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 268, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10105", + "pull_request:10200", + "pull_request:10579", + "pull_request:10704", + "pull_request:1128", + "pull_request:11366", + "pull_request:11384", + "pull_request:11571", + "pull_request:11572", + "pull_request:11726", + "pull_request:12315", + "pull_request:12324", + "pull_request:12496", + "pull_request:12522", + "pull_request:12523", + "pull_request:13150", + "pull_request:1338", + "pull_request:13454", + "pull_request:1926", + "pull_request:1966", + "pull_request:2470", + "pull_request:2693", + "pull_request:2959", + "pull_request:2968", + "pull_request:327", + "pull_request:3298", + "pull_request:344", + "pull_request:3586", + "pull_request:382", + "pull_request:396", + "pull_request:416", + "pull_request:4242", + "pull_request:4412", + "pull_request:5098", + "pull_request:5384", + "pull_request:6489", + "pull_request:6490", + "pull_request:689", + "pull_request:6961", + "pull_request:6962", + "pull_request:7247", + "pull_request:7941", + "pull_request:8322", + "pull_request:8452", + "pull_request:8761", + "pull_request:9008", + "pull_request:9065" + ], + "soft_pairs": [ + "pull_request:11571|pull_request:11572", + "pull_request:12496|pull_request:12523", + "pull_request:10105|pull_request:10704", + "pull_request:1338|pull_request:689", + "pull_request:1128|pull_request:1926", + "pull_request:11366|pull_request:11384", + "pull_request:10579|pull_request:9065", + "pull_request:2693|pull_request:4412", + "pull_request:2968|pull_request:4412", + "pull_request:5098|pull_request:6962", + "pull_request:12522|pull_request:13454", + "pull_request:11726|pull_request:12324", + "pull_request:12315|pull_request:13150", + "pull_request:3298|pull_request:4242", + "pull_request:6489|pull_request:6490", + "pull_request:8322|pull_request:9008", + "pull_request:7247|pull_request:7941", + "pull_request:10200|pull_request:8761", + "pull_request:327|pull_request:344", + "pull_request:3586|pull_request:5384", + "pull_request:2470|pull_request:2959", + "pull_request:382|pull_request:396", + "pull_request:382|pull_request:416", + "pull_request:1926|pull_request:1966", + "pull_request:6961|pull_request:8452" + ], + "prepared_review_unit_hash": "aaccddd59e8034fed4ffa8aed1f6b498d8933b039402db74230bb8a7c8ce50cf", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 98269, + "estimated_input_tokens": 24568, + "estimated_eval_tokens": 49392 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly false-positive similarity matches: the PRs share broad library areas or wording, but they fix different code paths, docs, tests, or feature additions. 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not the same underlying issue." + }, + { + "left": "pull_request:1338", + "right": "pull_request:689", + "accept": false, + "reason": "ONNX inpaint cast-order bug fix vs attention performance change for tests; unrelated." + }, + { + "left": "pull_request:1128", + "right": "pull_request:1926", + "accept": false, + "reason": "Tensor input support in inpaint pipeline vs OneFlow stable diffusion support; different frameworks and changes." + }, + { + "left": "pull_request:11366", + "right": "pull_request:11384", + "accept": false, + "reason": "Both touch the HiDream transformer, but one changes outputs and the other only bumps a deprecation version." + }, + { + "left": "pull_request:10579", + "right": "pull_request:9065", + "accept": false, + "reason": "Community pipeline addition vs sentencepiece soft-dependency support; unrelated changes." + }, + { + "left": "pull_request:2693", + "right": "pull_request:4412", + "accept": false, + "reason": "Doc image link fix vs float16 inference test fix; not the same bug." + }, + { + "left": "pull_request:2968", + "right": "pull_request:4412", + "accept": false, + "reason": "Img2img post-processing fix vs a test setup tweak; different concerns." + }, + { + "left": "pull_request:5098", + "right": "pull_request:6962", + "accept": false, + "reason": "Kandinsky precision test fixes vs PixArt slow-test fixes; both are test-related only at a broad level." + }, + { + "left": "pull_request:12522", + "right": "pull_request:13454", + "accept": false, + "reason": "Toctree styling cleanup vs CLIP-related xfail annotations; unrelated maintenance." + }, + { + "left": "pull_request:11726", + "right": "pull_request:12324", + "accept": false, + "reason": "Wan LoRA conversion support vs Wan2.2 VACE pipeline/conversion work; distinct model families and changes." + }, + { + "left": "pull_request:12315", + "right": "pull_request:13150", + "accept": false, + "reason": "Lora test scheduler simplification vs user-controlled recompile limit in compile tests; unrelated test infrastructure edits." + }, + { + "left": "pull_request:3298", + "right": "pull_request:4242", + "accept": false, + "reason": "Arbitrary aspect ratio support in IF superresolution vs single-file VAE loading docs/code; different features." + }, + { + "left": "pull_request:6489", + "right": "pull_request:6490", + "accept": false, + "reason": "Two different community pipelines; same README touchpoint only, not the same change." + }, + { + "left": "pull_request:8322", + "right": "pull_request:9008", + "accept": false, + "reason": "Both are errata-style cleanups, but they fix different scattered typos/formatting across different files." + }, + { + "left": "pull_request:7247", + "right": "pull_request:7941", + "accept": false, + "reason": "Single-file config checking tests vs marking a slow test class; not duplicate work." + }, + { + "left": "pull_request:10200", + "right": "pull_request:8761", + "accept": false, + "reason": "StableDiffusionXLControlNetUnion refactor vs Hunyuan embedding refactor; unrelated model code." + }, + { + "left": "pull_request:327", + "right": "pull_request:344", + "accept": false, + "reason": "Type hints for PNDM pipeline vs type hints for VAE models; separate API surfaces." + }, + { + "left": "pull_request:3586", + "right": "pull_request:5384", + "accept": false, + "reason": "Community tiling pipeline vs hypernetwork support; 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the items span unrelated features, fixes, docs, and tests, so choosing one would be misleading.", + "best_issue_reason": null, + "best_pr_reason": "No PR is a good global representative here because the cluster is not centered on one concrete code-path change or bugfix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4098", + "right": "pull_request:4408", + "accept": false, + "reason": "Both touch SDXL inpainting, but one adds the feature while the other fixes from_single_file conversion; different code paths and not mergeable as one PR." + }, + { + "left": "pull_request:11916", + "right": "pull_request:12549", + "accept": false, + "reason": "Both are attention-backend work, but one is a broad dispatcher refactor and the other adds an AITER backend; distinct changes." + }, + { + "left": "pull_request:12530", + "right": "pull_request:13454", + "accept": false, + "reason": "Both xfail tests, but they target different failing tests and different transformers regressions; not the same bug." + }, + { + "left": "pull_request:2892", + "right": "pull_request:4412", + "accept": false, + "reason": "One fixes upscaler input validation, the other adjusts a float16 inference test; unrelated changes." + }, + { + "left": "pull_request:4780", + "right": "pull_request:5151", + "accept": false, + "reason": "PEFT integration and later LoRA deprecation cleanup overlap in subsystem, but they are different refactors with different goals." + }, + { + "left": "pull_request:2464", + "right": "pull_request:3912", + "accept": false, + "reason": "Same training script, but one removes an xFormers branch while the other adds text-encoder finetuning support; different features." + }, + { + "left": "pull_request:12006", + "right": "pull_request:12496", + "accept": false, + "reason": "Both are Wan i2v related, but one adds a 5b feature and the other fixes a latent-frame shape mismatch; not the same underlying change." + }, + { + "left": "pull_request:10330", + "right": "pull_request:10815", + "accept": false, + "reason": "LTX Video release/update versus Enhance-A-Video hook implementation; unrelated PRs." + }, + { + "left": "pull_request:10431", + "right": "pull_request:10537", + "accept": false, + "reason": "Both Sana-related, but one fixes positional embedding behavior and the other changes 4K pipeline defaults/docs; distinct changes." + }, + { + "left": "pull_request:11556", + "right": "pull_request:12092", + "accept": false, + "reason": "Documentation-only PRs for different topics (regional compilation vs GGUF checkpoints); not duplicates." + }, + { + "left": "pull_request:11986", + "right": "pull_request:12763", + "accept": false, + "reason": "Different modular pipelines for different models (LTX vs Flux2); unrelated implementations." + }, + { + "left": "pull_request:12647", + "right": "pull_request:13039", + "accept": false, + "reason": "One skips a test in CI, the other changes Wan layerwise upcasting math; different issues entirely." + }, + { + "left": "pull_request:12961", + "right": "pull_request:13331", + "accept": false, + "reason": "PhotoDoodle community README addition versus CogVideoX inpaint pipeline implementation; unrelated." + }, + { + "left": "pull_request:1982", + "right": "pull_request:802", + "accept": false, + "reason": "Example test path update versus a documentation indentation fix; no shared underlying bug." + }, + { + "left": "pull_request:2367", + "right": "pull_request:3657", + "accept": false, + "reason": "Training-script checkpoint limiting versus controlnet conversion CLI parsing; unrelated scripts and problems." + }, + { + "left": "pull_request:2593", + "right": "pull_request:3657", + "accept": false, + "reason": "Same conversion script, but one adds ControlNet conversion support while the other tweaks argument parsing; not the same change." + }, + { + "left": "pull_request:6633", + "right": "pull_request:6961", + "accept": false, + "reason": "Reading checkpoint config from file versus fast tests for single-file loaders; different code paths and goals." + }, + { + "left": "pull_request:11252", + "right": "pull_request:9696", + "accept": false, + "reason": "Utility timeout constant change versus workflow input/validation fixes; unrelated." + }, + { + "left": "pull_request:11916", + "right": "pull_request:12387", + "accept": false, + "reason": "Both touch attention dispatch, but one is a large backend refactor and the other adds flash_hub support; different concrete changes." + }, + { + "left": "pull_request:6426", + "right": "pull_request:7116", + "accept": false, + "reason": "LoRA deprecation cleanup versus workflow dependency-install changes; unrelated." + }, + { + "left": "pull_request:1788", + "right": "pull_request:3607", + "accept": false, + "reason": "DDIM sampler fix versus attention/temb handling changes; completely different subsystems." + }, + { + "left": "pull_request:2367", + "right": "pull_request:4187", + "accept": false, + "reason": "Checkpoint retention for training scripts versus DPMSolver timestep handling; unrelated bugs/features." + }, + { + "left": "pull_request:6759", + "right": "pull_request:8937", + "accept": false, + "reason": "InstantID embedding repetition fix versus AuraFlow long-prompt handling; separate pipelines and issues." + }, + { + "left": "pull_request:12593", + "right": "pull_request:12679", + "accept": false, + "reason": "ChronoEdit core pipeline/model addition versus adding multiple LoRA support in its docs/loader path; related project area but not the same change." + }, + { + "left": "pull_request:7825", + "right": "pull_request:9676", + "accept": false, + "reason": "Modeling-common test guards versus an import-path fix in benchmarks; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 270, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10330", + "pull_request:10537", + "pull_request:10538", + "pull_request:10547", + "pull_request:11174", + "pull_request:11995", + "pull_request:12387", + "pull_request:12454", + "pull_request:12549", + "pull_request:12644", + "pull_request:12934", + "pull_request:12983", + "pull_request:13158", + "pull_request:13208", + "pull_request:13216", + "pull_request:13223", + "pull_request:1878", + "pull_request:1913", + "pull_request:2327", + "pull_request:2593", + "pull_request:2706", + "pull_request:2919", + "pull_request:2959", + "pull_request:3292", + "pull_request:3806", + "pull_request:382", + "pull_request:386", + "pull_request:390", + "pull_request:391", + "pull_request:392", + "pull_request:404", + "pull_request:417", + "pull_request:4242", + "pull_request:4262", + "pull_request:4963", + "pull_request:5506", + "pull_request:5615", + "pull_request:5665", + "pull_request:5837", + "pull_request:6764", + "pull_request:6886", + "pull_request:6994", + "pull_request:7200", + "pull_request:7246", + "pull_request:7941", + "pull_request:8512", + "pull_request:8652", + "pull_request:9251" + ], + "soft_pairs": [ + "pull_request:1913|pull_request:3292", + "pull_request:2327|pull_request:2706", + "pull_request:2593|pull_request:3806", + "pull_request:5665|pull_request:6994", + "pull_request:2919|pull_request:2959", + "pull_request:7246|pull_request:7941", + "pull_request:11995|pull_request:12454", + "pull_request:12934|pull_request:12983", + "pull_request:13208|pull_request:13216", + "pull_request:10330|pull_request:11174", + "pull_request:12644|pull_request:13158", + "pull_request:382|pull_request:391", + "pull_request:386|pull_request:392", + "pull_request:386|pull_request:404", + "pull_request:386|pull_request:417", + "pull_request:390|pull_request:392", + "pull_request:390|pull_request:404", + "pull_request:390|pull_request:417", + "pull_request:5506|pull_request:7200", + "pull_request:13216|pull_request:13223", + "pull_request:10537|pull_request:10538", + "pull_request:10547|pull_request:9251", + "pull_request:1878|pull_request:2593", + "pull_request:4242|pull_request:5837", + "pull_request:4262|pull_request:5837", + "pull_request:4963|pull_request:5615", + "pull_request:6764|pull_request:8652", + "pull_request:6886|pull_request:8512", + "pull_request:12387|pull_request:12549" + ], + "prepared_review_unit_hash": "d474e0fec59f85eb0ac8c86aa436b0d4cbad95ed33a88febc3c9e6932669bee9", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 104580, + "estimated_input_tokens": 26145, + "estimated_eval_tokens": 52546 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The candidate pairs are mostly thematically related but refer to different code paths or separate features, so I would reject all soft edges as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good global canonical here: the items span unrelated model families, docs, tests, loaders, and attention backends, so none can safely subsume the rest.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1913", + "right": "pull_request:3292", + "accept": false, + "reason": "Different changes: input validation in img2img vs training-time input perturbation; not the same bug or fix." + }, + { + "left": "pull_request:2327", + "right": "pull_request:2706", + "accept": false, + "reason": "One speeds up a test fixture; the other changes EMA save/restore in training. Same area, different change." + }, + { + "left": "pull_request:2593", + "right": "pull_request:3806", + "accept": false, + "reason": "ControlNet conversion support is unrelated to a README note about loading from checkpoint." + }, + { + "left": "pull_request:5665", + "right": "pull_request:6994", + "accept": false, + "reason": "One fixes controlnet img2img preprocessing; the other passes torch_dtype in single-file loading. 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No overlap in bug/change." + }, + { + "left": "pull_request:1878", + "right": "pull_request:2593", + "accept": false, + "reason": "Stable Diffusion checkpoint handling and ControlNet conversion are unrelated converter changes." + }, + { + "left": "pull_request:4242", + "right": "pull_request:5837", + "accept": false, + "reason": "Allowing VAE loading from single file is unrelated to allowing multiple textual inversion tokens." + }, + { + "left": "pull_request:4262", + "right": "pull_request:5837", + "accept": false, + "reason": "SDXL DreamBooth LoRA fixes and textual inversion multi-token support address different parts of the library." + }, + { + "left": "pull_request:4963", + "right": "pull_request:5615", + "accept": false, + "reason": "CI installing accelerate main and reverting SDXL adapter LoRA loading are unrelated." + }, + { + "left": "pull_request:6764", + "right": "pull_request:8652", + "accept": false, + "reason": "PEFT serialization docs and Lumina-T2X feature addition are unrelated." + }, + { + "left": "pull_request:6886", + "right": "pull_request:8512", + "accept": false, + "reason": "Deprecated to() dtype cleanup and removing prepare_mask_and_masked_image are unrelated changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 271, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10021", + "pull_request:10063", + "pull_request:10105", + "pull_request:10136", + "pull_request:10148", + "pull_request:10245", + "pull_request:10326", + "pull_request:10815", + "pull_request:10983", + "pull_request:11001", + "pull_request:11058", + "pull_request:11231", + "pull_request:11269", + "pull_request:11613", + "pull_request:11614", + "pull_request:11660", + "pull_request:12490", + "pull_request:13338", + "pull_request:13365", + "pull_request:13454", + "pull_request:2915", + "pull_request:3160", + "pull_request:326", + "pull_request:3351", + "pull_request:344", + "pull_request:3471", + "pull_request:3806", + "pull_request:4395", + "pull_request:4412", + "pull_request:4572", + "pull_request:5053", + "pull_request:5393", + "pull_request:5665", + "pull_request:5788", + "pull_request:6426", + "pull_request:6743", + "pull_request:6752", + "pull_request:7113", + "pull_request:7200", + "pull_request:7359", + "pull_request:7627", + "pull_request:7938", + "pull_request:8512", + "pull_request:8684", + "pull_request:8797", + "pull_request:9049", + "pull_request:9159" + ], + "soft_pairs": [ + "pull_request:10021|pull_request:10815", + "pull_request:13338|pull_request:13365", + "pull_request:326|pull_request:344", + "pull_request:3471|pull_request:3806", + "pull_request:3806|pull_request:4395", + "pull_request:4572|pull_request:5393", + "pull_request:5053|pull_request:6743", + "pull_request:5665|pull_request:7627", + "pull_request:5788|pull_request:7200", + "pull_request:6426|pull_request:8512", + "pull_request:10063|pull_request:10105", + "pull_request:10245|pull_request:8684", + "pull_request:3160|pull_request:3351", + "pull_request:10326|pull_request:8797", + "pull_request:7113|pull_request:7938", + "pull_request:11613|pull_request:11614", + "pull_request:12490|pull_request:13454", + "pull_request:10136|pull_request:10983", + "pull_request:11001|pull_request:11058", + "pull_request:2915|pull_request:4412", + "pull_request:11231|pull_request:11660", + "pull_request:9049|pull_request:9159", + "pull_request:6752|pull_request:7359", + "pull_request:10148|pull_request:11269" + ], + "prepared_review_unit_hash": "9041fbce2db5fbf72e3360aa35456bf9345590e5245113fb7fa6f240c5677dd7", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 98709, + "estimated_input_tokens": 24678, + "estimated_eval_tokens": 49612 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a mix of unrelated docs, tests, CI, and feature PRs. 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unrelated." + }, + { + "left": "pull_request:6752", + "right": "pull_request:7359", + "accept": false, + "reason": "Different community research projects: PromptDiffusion vs ResAdapter." + }, + { + "left": "pull_request:10148", + "right": "pull_request:11269", + "accept": false, + "reason": "OmniGen feature PR vs ONNX Runtime backend availability update; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 272, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10431", + "pull_request:11142", + "pull_request:12450", + "pull_request:12491", + "pull_request:1878", + "pull_request:2892", + "pull_request:3298", + "pull_request:3586", + "pull_request:3589", + "pull_request:3806", + "pull_request:4749", + "pull_request:5672", + "pull_request:6450", + "pull_request:6886", + "pull_request:7116", + "pull_request:8386", + "pull_request:8719" + ], + "soft_pairs": [ + "pull_request:10431|pull_request:11142", + "pull_request:12450|pull_request:12491", + "pull_request:1878|pull_request:3806", + "pull_request:2892|pull_request:3298", + "pull_request:3586|pull_request:3589", + "pull_request:3586|pull_request:5672", + "pull_request:4749|pull_request:6450", + "pull_request:6886|pull_request:8719", + "pull_request:7116|pull_request:8386" + ], + "prepared_review_unit_hash": "3c7022aac81aed87d5a1ffc9c8ec29ce6d35f735b92dfb883ab59bc39c9c067d", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 17, + "item_count": 17, + "soft_pair_count": 9, + "serialized_chars": 36174, + "estimated_input_tokens": 9044, + "estimated_eval_tokens": 18344 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft pairs are mostly false positives: they share broad subsystems like CI, pipelines, or examples, but each PR fixes a different code path or documents a different behavior. No duplicate cluster emerges.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single pull request is a good canonical anchor here; the items span unrelated changes, so picking one would be misleading.", + "best_issue_reason": null, + "best_pr_reason": "No PR cleanly represents a dedupe cluster because these are not the same underlying fix/change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10431", + "right": "pull_request:11142", + "accept": false, + "reason": "Different Sana changes: one fixes positional embedding handling in the transformer, the other updates Sana-Sprint conversion/config loading. Not the same bug." + }, + { + "left": "pull_request:12450", + "right": "pull_request:12491", + "accept": false, + "reason": "Both touch CI, but 12450 revises dependency installation broadly while 12491 adds a docs link-check job. 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Different underlying change." + }, + { + "left": "pull_request:3586", + "right": "pull_request:5672", + "accept": false, + "reason": "Unrelated pipelines and features: StableDiffusionTilingPipeline vs PixArt non-square image support." + }, + { + "left": "pull_request:4749", + "right": "pull_request:6450", + "accept": false, + "reason": "4749 fixes SDXL DreamBooth LoRA checkpoint loading; 6450 is a LoRA deprecation/test cleanup. Not the same code-path problem." + }, + { + "left": "pull_request:6886", + "right": "pull_request:8719", + "accept": false, + "reason": "6886 removes deprecated torch_dtype usage across converters/pipeline utils; 8719 only updates VQ model output deprecation docs. Different scope." + }, + { + "left": "pull_request:7116", + "right": "pull_request:8386", + "accept": false, + "reason": "CI install workflow changes and test dummy-input/output-shape refactors are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 2, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9562-4", + "nodes": [ + "pull_request:10009", + "pull_request:10163", + "pull_request:10347", + "pull_request:9562" + ], + "soft_pairs": [ + "pull_request:10009|pull_request:9562", + "pull_request:10163|pull_request:9562", + "pull_request:10347|pull_request:9562", + "pull_request:10009|pull_request:10163", + "pull_request:10009|pull_request:10347", + "pull_request:10163|pull_request:10347" + ], + "prepared_review_unit_hash": "3e73d48468252583a1dfe71f158bbfd33123f7aa4e76bea94aa942134590b530", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 15324, + "estimated_input_tokens": 3831, + "estimated_eval_tokens": 7918 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 15324, + "estimated_input_tokens": 3831, + "estimated_eval_tokens": 7918 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "False-positive cluster: these PRs share some infrastructure files and docs, but they implement four different features (TorchAO quantization, FasterCache, layerwise fp8 casting, and Pyramid Attention Broadcast). 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"b0bd9d390bb11078b089142859689ccd8652b51c78ac474c782703c899d19dd9", + "component_budget": { + "node_count": 36, + "item_count": 36, + "soft_pair_count": 83, + "serialized_chars": 105750, + "estimated_input_tokens": 26438, + "estimated_eval_tokens": 53132 + }, + "budget": { + "node_count": 36, + "item_count": 36, + "soft_pair_count": 72, + "serialized_chars": 95388, + "estimated_input_tokens": 23847, + "estimated_eval_tokens": 47950 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most of the true duplicate pairs are the distributed LR-scheduler fixes and the FP16/PEFT resume fixes. I rejected the broader SDXL DreamBooth LoRA feature-iteration pairing (3896 \u2194 4016) because it is a follow-up feature, not the same concrete bug/change, which makes the triage more conservative.", + "confidence": 0.77, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8461 is the clearest representative of the recurring distributed LR-scheduler bug-fix family, with direct duplicate-style follow-ups in 8446, 8476, and 9316.", + "best_issue_reason": null, + "best_pr_reason": "PR 8461 is the strongest global anchor: it is a merged, self-contained concrete bug fix and sits at the center of the largest true-duplicate family in the packet.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8461", + "right": "pull_request:9316", + "accept": true, + "reason": "Same distributed LR-scheduler bug fix applied to another example script." + }, + { + "left": "pull_request:8446", + "right": "pull_request:8461", + "accept": true, + "reason": "Same scheduler-calculation bug pattern in a different training example." + }, + { + "left": "pull_request:8461", + "right": "pull_request:9308", + "accept": true, + "reason": "Same LR-scheduler fix for distributed training, just in custom diffusion." + }, + { + "left": "pull_request:8476", + "right": "pull_request:9308", + "accept": true, + "reason": "Same underlying scheduler bug across different example scripts." + }, + { + "left": "pull_request:8446", + "right": "pull_request:9308", + "accept": true, + "reason": "Same distributed scheduler miscalculation bug, different example." + }, + { + "left": "pull_request:6514", + "right": "pull_request:7126", + "accept": false, + "reason": "FP16 resume-state fix vs EDM-style training feature; different changes." + }, + { + "left": "pull_request:4016", + "right": "pull_request:5778", + "accept": false, + "reason": "Different training families: SDXL DreamBooth LoRA vs LCM distillation." + }, + { + "left": "pull_request:4097", + "right": "pull_request:6514", + "accept": false, + "reason": "Text-encoder fine-tuning feature vs FP16 resume fix; not the same bug/change." + }, + { + "left": "pull_request:3896", + "right": "pull_request:4097", + "accept": false, + "reason": "Related SDXL DreamBooth LoRA work, but 4097 is a follow-up feature rather than the same concrete change." + }, + { + "left": "pull_request:6554", + "right": "pull_request:7126", + "accept": false, + "reason": "FP16 resume fix vs EDM-style training support; unrelated issues." + }, + { + "left": "pull_request:4016", + "right": "pull_request:4505", + "accept": false, + "reason": "Different example families: SDXL DreamBooth LoRA vs text-to-image SDXL training." + }, + { + "left": "pull_request:6554", + "right": "pull_request:7242", + "accept": false, + "reason": "Different bugs in the same script family: resume fix vs prior-preservation collate fix." + }, + { + "left": "pull_request:4097", + "right": "pull_request:4505", + "accept": false, + "reason": "Different features in different SDXL training scripts; not the same change." + }, + { + "left": "pull_request:5778", + "right": "pull_request:6514", + "accept": false, + "reason": "LCM LoRA SDXL training vs DreamBooth LoRA resume fix; different issues." + }, + { + "left": "pull_request:2031", + "right": "pull_request:4097", + "accept": false, + "reason": "Different training examples and changes; only broad text-to-image overlap." + }, + { + "left": "pull_request:4038", + "right": "pull_request:4097", + "accept": false, + "reason": "ControlNet SDXL support vs DreamBooth LoRA text-encoder fine-tuning; unrelated." + }, + { + "left": "pull_request:4097", + "right": "pull_request:5778", + "accept": false, + "reason": "Different training approaches and code paths." + }, + { + "left": "pull_request:3425", + "right": "pull_request:3560", + "accept": false, + "reason": "Both IF-related, but they target different scripts/features." + }, + { + "left": "pull_request:5778", + "right": "pull_request:7126", + "accept": false, + "reason": "Different training methods and scripts; not duplicate fixes." + }, + { + "left": "pull_request:4505", + "right": "pull_request:5778", + "accept": false, + "reason": "Text-to-image SDXL training vs LCM LoRA SDXL; different features." + }, + { + "left": "pull_request:6422", + "right": "pull_request:7126", + "accept": false, + "reason": "Diffusion DPO research project vs DreamBooth EDM training; unrelated." + }, + { + "left": "pull_request:2478", + "right": "pull_request:2978", + "accept": false, + "reason": "New InstructPix2Pix script vs later bug fix; not the same change." + }, + { + "left": "pull_request:2818", + "right": "pull_request:2859", + "accept": false, + "reason": "Flax training script addition vs streaming support; different changes." + }, + { + "left": "pull_request:5778", + "right": "pull_request:7242", + "accept": false, + "reason": "LCM distillation vs prior-preservation fix; unrelated bugs." + }, + { + "left": "pull_request:6751", + "right": "pull_request:7126", + "accept": false, + "reason": "Text-to-image LoRA mixed-precision fix vs EDM-style DreamBooth training; different problems." + }, + { + "left": "pull_request:6422", + "right": "pull_request:6554", + "accept": false, + "reason": "Diffusion DPO vs DreamBooth LoRA resume fix; unrelated." + }, + { + "left": "pull_request:4016", + "right": "pull_request:4038", + "accept": false, + "reason": "Different SDXL features and code paths; not the same underlying change." + }, + { + "left": "pull_request:3550", + "right": "pull_request:3896", + "accept": false, + "reason": "IF DreamBooth LoRA discussion/cleanup vs SDXL DreamBooth LoRA support; different code paths." + }, + { + "left": "pull_request:1110", + "right": "pull_request:1980", + "accept": false, + "reason": "Both ORT-related, but different example scripts and separate integrations." + }, + { + "left": "pull_request:6514", + "right": "pull_request:8446", + "accept": false, + "reason": "FP16 resume fix vs distributed LR-scheduler fix; different bugs." + }, + { + "left": "pull_request:2031", + "right": "pull_request:4016", + "accept": false, + "reason": "Different model family and training example." + }, + { + "left": "pull_request:2818", + "right": "pull_request:4038", + "accept": false, + "reason": "Flax/JAX training example vs SDXL ControlNet support; different implementations." + }, + { + "left": "pull_request:3810", + "right": "pull_request:4505", + "accept": false, + "reason": "Model-card/docs update vs SDXL text-to-image training script; not duplicate code change." + }, + { + "left": "pull_request:3360", + "right": "pull_request:3425", + "accept": false, + "reason": "Both DreamBooth IF-related, but one is LoRA-specific and the other is the full-script update." + }, + { + "left": "pull_request:1980", + "right": "pull_request:916", + "accept": false, + "reason": "Separate ORT integrations for different examples; not the same fix." + }, + { + "left": "pull_request:6514", + "right": "pull_request:8476", + "accept": false, + "reason": "FP16 resume fix vs scheduler fix; different bugs." + }, + { + "left": "pull_request:2031", + "right": "pull_request:3896", + "accept": false, + "reason": "Different features in different training examples." + }, + { + "left": "pull_request:2859", + "right": "pull_request:4505", + "accept": false, + "reason": "ControlNet JAX streaming support vs text-to-image SDXL training; unrelated." + }, + { + "left": "pull_request:3896", + "right": "pull_request:4038", + "accept": false, + "reason": "Different SDXL subsystems and different feature work." + }, + { + "left": "pull_request:2859", + "right": "pull_request:2978", + "accept": false, + "reason": "Streaming support vs multi-GPU bug fix; not the same issue." + }, + { + "left": "pull_request:1834", + "right": "pull_request:2978", + "accept": false, + "reason": "Text-to-image logging/model-card changes vs InstructPix2Pix multi-GPU fix." + }, + { + "left": "pull_request:7242", + "right": "pull_request:8743", + "accept": false, + "reason": "Prior-preservation setting fix vs SD3 LoRA resume bug; unrelated." + }, + { + "left": "pull_request:8461", + "right": "pull_request:8476", + "accept": true, + "reason": "Same distributed LR-scheduler bug family across example training scripts." + }, + { + "left": "pull_request:8446", + "right": "pull_request:8476", + "accept": true, + "reason": "Same scheduler-calculation bug, different example script." + }, + { + "left": "pull_request:6514", + "right": "pull_request:6554", + "accept": true, + "reason": "Same FP16/PEFT resume-state-dict bug family in LoRA training scripts." + }, + { + "left": "pull_request:8476", + "right": "pull_request:9316", + "accept": true, + "reason": "Same distributed LR-scheduler bug across example scripts." + }, + { + "left": "pull_request:8446", + "right": "pull_request:9316", + "accept": true, + "reason": "Same scheduler bug pattern; only the example script differs." + }, + { + "left": "pull_request:9308", + "right": "pull_request:9316", + "accept": true, + "reason": "Same distributed-training LR-scheduler fix family." + }, + { + "left": "pull_request:3896", + "right": "pull_request:4016", + "accept": false, + "reason": "This is a feature iteration, not the same bugfix; 4016 is the finished SDXL DreamBooth LoRA script, not a duplicate of the WIP 3896 PR." + }, + { + "left": "pull_request:7126", + "right": "pull_request:7242", + "accept": false, + "reason": "EDM-style training support vs a prior-preservation bug fix in the same script; different changes." + }, + { + "left": "pull_request:6514", + "right": "pull_request:6840", + "accept": true, + "reason": "Same resume-from-FP16 state-dict loading bug pattern across LoRA training scripts." + }, + { + "left": "pull_request:4016", + "right": "pull_request:4097", + "accept": false, + "reason": "4097 adds text-encoder fine-tuning on top of SDXL DreamBooth LoRA; follow-up feature, not the same change." + }, + { + "left": "pull_request:6514", + "right": "pull_request:7242", + "accept": false, + "reason": "FP16 resume fix vs prior-preservation fix; different issues." + }, + { + "left": "pull_request:4505", + "right": "pull_request:6751", + "accept": false, + "reason": "Base SDXL text-to-image training vs separate LoRA fine-tuning script fix; not the same concrete change." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "Most of the scheduler/resume pairings are grounded in the packet, but one soft-edge acceptance is too broad: pull_request:3896 \u2194 pull_request:4016 is a feature iteration (WIP SDXL DreamBooth LoRA support vs the later finished script), not clearly the same bugfix/duplicate PR. Given the conservative standard, that makes the result too eager overall. The summary is otherwise reasonable, but I would not accept it as-is." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 6, + "component_count": 255, + "review_unit_index": 2, + "review_unit_count": 2, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-916-36", + "nodes": [ + "pull_request:1007", + "pull_request:1110", + "pull_request:1225", + "pull_request:5778", + "pull_request:6514", + "pull_request:6554", + "pull_request:6751", + "pull_request:6840", + "pull_request:7242", + "pull_request:916" + ], + "soft_pairs": [ + "pull_request:6554|pull_request:6840", + "pull_request:1110|pull_request:1225", + "pull_request:1007|pull_request:1110", + "pull_request:1007|pull_request:1225", + "pull_request:6751|pull_request:6840", + "pull_request:6751|pull_request:7242", + "pull_request:5778|pull_request:6840", + "pull_request:1007|pull_request:916", + "pull_request:1110|pull_request:916", + "pull_request:1225|pull_request:916", + "pull_request:6514|pull_request:6751" + ], + "prepared_review_unit_hash": "47c27aeac67cfe5c57e019bec25a360ecb6789f25bc2933ad180472733ca9da4", + "component_budget": { + "node_count": 36, + "item_count": 36, + "soft_pair_count": 83, + "serialized_chars": 105750, + "estimated_input_tokens": 26438, + "estimated_eval_tokens": 53132 + }, + "budget": { + "node_count": 10, + "item_count": 10, + "soft_pair_count": 11, + "serialized_chars": 23329, + "estimated_input_tokens": 5833, + "estimated_eval_tokens": 11922 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a mix of two loose duplicate themes: ORT integration for the unconditional image example, and fp16/PEFT resume fixes across different training scripts. Only the closest pairs look like true duplicates; the rest are similar only at the subsystem level.", + "confidence": 0.61, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1110 is the clearest canonical PR for the ORT subgroup: it is merged, complete, and includes the example/docs update for ORT-enabled unconditional training.", + "best_issue_reason": null, + "best_pr_reason": "PR 1110 is the strongest representative artifact overall because it is merged and the most complete version of the ORT integration change set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6554", + "right": "pull_request:6840", + "accept": true, + "reason": "Both fix LoRA training resume under fp16 by restoring PEFT state dicts; same underlying resume bug pattern across SDXL example scripts." + }, + { + "left": "pull_request:1110", + "right": "pull_request:1225", + "accept": false, + "reason": "Both are ORT-related, but one adds a standalone ORT training script/docs while the other adds an args.ort flag to the main script; different concrete implementation." + }, + { + "left": "pull_request:1007", + "right": "pull_request:1110", + "accept": false, + "reason": "Same broad ORT feature area, but 1007 changes core model/pipeline behavior while 1110 is a separate ORT example/docs follow-up." + }, + { + "left": "pull_request:1007", + "right": "pull_request:1225", + "accept": false, + "reason": "Different ORT implementations and code paths; not the same concrete change." + }, + { + "left": "pull_request:6751", + "right": "pull_request:6840", + "accept": false, + "reason": "Both touch mixed-precision/LoRA state handling, but they target different example pipelines and failure modes." + }, + { + "left": "pull_request:6751", + "right": "pull_request:7242", + "accept": false, + "reason": "Different feature areas: SDXL text-to-image fine-tuning resume vs DreamBooth prior-preservation collation." + }, + { + "left": "pull_request:5778", + "right": "pull_request:6840", + "accept": false, + "reason": "Unrelated changes: LCM LoRA docs/dataset example versus fp16 resume bug fixes." + }, + { + "left": "pull_request:1007", + "right": "pull_request:916", + "accept": false, + "reason": "Same broad ORT theme, but 916 adds a standalone ORT training script while 1007 modifies existing model/pipeline internals; not one duplicate change." + }, + { + "left": "pull_request:1110", + "right": "pull_request:916", + "accept": true, + "reason": "Both implement the same ORT-enabled unconditional-image training change; 1110 looks like the later, more complete version with docs." + }, + { + "left": "pull_request:1225", + "right": "pull_request:916", + "accept": false, + "reason": "Flag-based ORT integration versus standalone ORT script; similar goal, but different change set and code path." + }, + { + "left": "pull_request:6514", + "right": "pull_request:6751", + "accept": false, + "reason": "Both are fp16/PEFT resume fixes, but for different training scripts and not the same concrete code path." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 7, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-52-3", + "nodes": [ + "pull_request:1008", + "pull_request:52", + "pull_request:85" + ], + "soft_pairs": [ + "pull_request:52|pull_request:85", + "pull_request:1008|pull_request:52" + ], + "prepared_review_unit_hash": "d1fea38def82d49544e2200ee780c04bfa34624593bdcea3112979be47713bc2", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6605, + "estimated_input_tokens": 1652, + "estimated_eval_tokens": 3560 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6605, + "estimated_input_tokens": 1652, + "estimated_eval_tokens": 3560 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The cluster contains three separate pull requests: one documentation cleanup and two different UNet refactors touching different model codepaths. They are related by broad theme only, not the same underlying change.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #52 is the most substantive and representative code change in the cluster, but it does not cover the others; the items are not duplicates of one another.", + "best_issue_reason": null, + "best_pr_reason": "PR #52 is the strongest standalone PR here because it makes a concrete model implementation cleanup/refactor, whereas #85 is a different UNet cleanup and #1008 is documentation-only.", + "soft_edge_verdicts": [ + { + "left": "pull_request:52", + "right": "pull_request:85", + "accept": false, + "reason": "Both touch UNet-related code, but they modify different files and different model variants (`unet_sde_score_estimation` vs `unet_new`/`unet_unconditional`) with different refactor goals; not the same concrete change." + }, + { + "left": "pull_request:1008", + "right": "pull_request:52", + "accept": false, + "reason": "#1008 is a docs cleanup while #52 changes core model code; they do not fix the same underlying bug or implement the same feature." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 8, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10081-2", + "nodes": [ + "pull_request:10081", + "pull_request:10116" + ], + "soft_pairs": [ + "pull_request:10081|pull_request:10116" + ], + "prepared_review_unit_hash": "956ec3a44cd96cd78ff98cb4faaf8fe7ae0b4ff0d2effa2292cce032a7832873", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5368, + "estimated_input_tokens": 1342, + "estimated_eval_tokens": 2940 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5368, + "estimated_input_tokens": 1342, + "estimated_eval_tokens": 2940 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged PRs add `sigmas` support to different pipeline families in Diffusers. They are related in theme and implementation pattern, but they target distinct code paths and should not be treated as duplicates.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10116 is the broader and more representative change: it updates multiple FlowMatch-based pipelines across SD3, Lumina, PAG, and Aura Flow, making it the best canonical PR for this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #10116 is the best overall representative because it covers the larger, more general `sigmas` API migration across FlowMatch pipelines; PR #10081 is a narrower Flux-only variant.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10081", + "right": "pull_request:10116", + "accept": false, + "reason": "Both PRs add a similar `sigmas` parameter to pipeline APIs, but they touch different pipeline families (Flux vs FlowMatch/SD3/Lumina/PAG) and are separate code-path changes, not one mergeable duplicate fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 9, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9776-2", + "nodes": [ + "pull_request:10131", + "pull_request:9776" + ], + "soft_pairs": [ + "pull_request:10131|pull_request:9776" + ], + "prepared_review_unit_hash": "1e418c24bcd8073afdd21e35c0eda6465a2ae5502d42ff9358281db8b77a2282", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6117, + "estimated_input_tokens": 1530, + "estimated_eval_tokens": 3316 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6117, + "estimated_input_tokens": 1530, + "estimated_eval_tokens": 3316 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests implement the same feature, Add ControlNetUnion, and touch the same core code paths and pipeline/model files. The merged PR 10131 appears to be the later, more complete version with updated docs layout, so it should be the canonical PR.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10131 is merged and covers the same ControlNetUnion implementation as 9776, with overlapping source files and documentation updates; it is the best representative of this change set.", + "best_issue_reason": null, + "best_pr_reason": "10131 is the best PR because it is merged, has the same explicit target issue 9772, and includes the finalized docs/source organization for the same ControlNetUnion feature.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10131", + "right": "pull_request:9776", + "accept": true, + "reason": "Same feature and same underlying implementation work: both add ControlNetUnion, modify the same pipeline/model files, and target the same issue. This is a true duplicate/near-duplicate PR pair." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 10, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10155-3", + "nodes": [ + "pull_request:10155", + "pull_request:10156", + "pull_request:10161" + ], + "soft_pairs": [ + "pull_request:10155|pull_request:10161", + "pull_request:10156|pull_request:10161" + ], + "prepared_review_unit_hash": "cb199d9273ffdaa612480432927b1ec4bddcd7c84dc69a98953180a3665d2e1c", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7436, + "estimated_input_tokens": 1859, + "estimated_eval_tokens": 3974 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7436, + "estimated_input_tokens": 1859, + "estimated_eval_tokens": 3974 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three items are related to positional embedding helpers in `embeddings.py`, but they are different changes: 2D rotary, 2D/3D sincos, and 3D rotary/allegro. They should not be deduplicated.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10156 is the broadest core-utility change: it updates both 2D and 3D sincos embedding helpers and has multiple downstream call-site updates, making it the best representative of the cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR 10156 is the best overall PR candidate because it is the most foundational and broadly applicable embedding utility update in the set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10155", + "right": "pull_request:10161", + "accept": false, + "reason": "Both touch `embeddings.py`, but they fix different code paths: 2D rotary embeddings for HunYuanDiT image pipelines vs 3D rotary embeddings for CogVideo/Allegro. Different helper functions and different model families, so not the same change." + }, + { + "left": "pull_request:10156", + "right": "pull_request:10161", + "accept": false, + "reason": "One converts 2D/3D sincos helpers to accept `device`/`torch` outputs, while the other converts 3D rotary helpers. Same general area, but not the same underlying bug or mergeable fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 11, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10173-2", + "nodes": [ + "pull_request:10173", + "pull_request:10509" + ], + "soft_pairs": [ + "pull_request:10173|pull_request:10509" + ], + "prepared_review_unit_hash": "f0b8af3575739dfd3a8e761ec00656307c2f7d5f198b743c87ddd29e9cf318fa", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4386, + "estimated_input_tokens": 1097, + "estimated_eval_tokens": 2450 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4386, + "estimated_input_tokens": 1097, + "estimated_eval_tokens": 2450 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two unrelated merged PRs that happen to touch the same modular SDXL pipeline file: one adds Modular APG / guidance changes, the other adds SDXL ControlNet Union denoise-step logic. They should not be treated as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical PR: the changes target different features and code paths, so neither PR subsumes the other.", + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a strong global representative because they are separate changes; if forced, 10509 is slightly more self-contained and specific, but it is not a duplicate of 10173.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10173", + "right": "pull_request:10509", + "accept": false, + "reason": "Reject: they share a modular SDXL file but implement different functionality\u2014APG/guidance vs ControlNet Union denoising. Different concrete code paths, not mergeable as one duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 12, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10189-2", + "nodes": [ + "pull_request:10189", + "pull_request:10714" + ], + "soft_pairs": [ + "pull_request:10189|pull_request:10714" + ], + "prepared_review_unit_hash": "cfd9d4f226a65ff97593a7f97f1eb43bd0ee94316a99ff70fc5715970991f50b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4024, + "estimated_input_tokens": 1006, + "estimated_eval_tokens": 2268 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4024, + "estimated_input_tokens": 1006, + "estimated_eval_tokens": 2268 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs touch the same file but address different changes: #10189 adds runtime model-type validation in `from_pretrained`, while #10714 only adds a `Self` return annotation for type inference.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "#10189 is the more substantive representative of the cluster because it fixes actual `from_pretrained` behavior by checking the passed model type; #10714 is only a typing/annotation change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10189", + "right": "pull_request:10714", + "accept": false, + "reason": "Different underlying changes: runtime type-checking fix vs. return-type hint only. They do not appear mergeable into one PR as the same bug/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 13, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9093-8", + "nodes": [ + "pull_request:10228", + "pull_request:10254", + "pull_request:9093", + "pull_request:9150", + "pull_request:9302", + "pull_request:9312", + "pull_request:9389", + "pull_request:9482" + ], + "soft_pairs": [ + "pull_request:9093|pull_request:9150", + "pull_request:9093|pull_request:9302", + "pull_request:9093|pull_request:9389", + "pull_request:9093|pull_request:9482", + "pull_request:9150|pull_request:9302", + "pull_request:9150|pull_request:9389", + "pull_request:9150|pull_request:9482", + "pull_request:9150|pull_request:9312", + "pull_request:9302|pull_request:9482", + "pull_request:9302|pull_request:9389", + "pull_request:10254|pull_request:9302", + "pull_request:10228|pull_request:9482", + "pull_request:10254|pull_request:9482", + "pull_request:10228|pull_request:10254", + "pull_request:10254|pull_request:9150" + ], + "prepared_review_unit_hash": "ecf3ccbcaef459b4f8b032517f1fdb1ea24c2eeb72e26a75e4dd21a1a3660102", + "component_budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 15, + "serialized_chars": 24940, + "estimated_input_tokens": 6235, + "estimated_eval_tokens": 12726 + }, + "budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 15, + "serialized_chars": 24940, + "estimated_input_tokens": 6235, + "estimated_eval_tokens": 12726 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The cluster is thematically related to CogVideoX and LoRA, but it mixes distinct changes: dynamic CFG/tiled decoding, LoRA training examples, FreeNoise experimentation, and separate LTX/Hunyuan/L2V support. None of the PRs are true duplicates of each other.", + "confidence": 0.77, + "canonical_issue_reason": null, + "canonical_pr_reason": "If forced to pick one anchor, PR #9302 is the most central CogVideoX LoRA PR, but it is not a duplicate of the others; the cluster spans multiple separate features and models.", + "best_issue_reason": null, + "best_pr_reason": "PR #9302 is the best overall anchor because it is the foundational CogVideoX LoRA training PR and the closest common reference point for the later CogVideoX LoRA followups, though it still should not be merged with them as a duplicate.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9093", + "right": "pull_request:9150", + "accept": false, + "reason": "Both touch CogVideoX, but one is dynamic CFG and the other is tiled decoding/followup refactors; different concrete changes, not one duplicate fix." + }, + { + "left": "pull_request:9093", + "right": "pull_request:9302", + "accept": false, + "reason": "Dynamic CFG for CogVideoX is unrelated to adding a LoRA training example; same project area, but different change and code path." + }, + { + "left": "pull_request:9093", + "right": "pull_request:9389", + "accept": false, + "reason": "FreeNoise experimentation and dynamic CFG are separate CogVideoX behaviors, not the same underlying bug or feature." + }, + { + "left": "pull_request:9093", + "right": "pull_request:9482", + "accept": false, + "reason": "Dynamic CFG vs CogVideoX-I2V LoRA training are unrelated features and would not be merged as one PR." + }, + { + "left": "pull_request:9150", + "right": "pull_request:9302", + "accept": false, + "reason": "CogVideoX tiled decoding/refactor work is separate from LoRA training example support; they share files but not the same fix." + }, + { + "left": "pull_request:9150", + "right": "pull_request:9389", + "accept": false, + "reason": "Tiled decoding followups and FreeNoise are different CogVideoX pipeline experiments, not a single concrete change." + }, + { + "left": "pull_request:9150", + "right": "pull_request:9482", + "accept": false, + "reason": "One is pipeline/refactor and tiled decoding work, the other is image-to-video LoRA training; not duplicates." + }, + { + "left": "pull_request:9150", + "right": "pull_request:9312", + "accept": false, + "reason": "The shared files are incidental; this PR is CogVideoX pipeline work, not rotary-embedding comment/dtype cleanup." + }, + { + "left": "pull_request:9302", + "right": "pull_request:9482", + "accept": false, + "reason": "Both are CogVideoX LoRA training examples, but for different tasks/scripts (text-to-video vs image-to-video) and different code paths." + }, + { + "left": "pull_request:9302", + "right": "pull_request:9389", + "accept": false, + "reason": "LoRA training example additions and FreeNoise are unrelated CogVideoX changes." + }, + { + "left": "pull_request:10254", + "right": "pull_request:9302", + "accept": false, + "reason": "HunyuanVideo LoRA support is model-specific and distinct from CogVideoX LoRA training support." + }, + { + "left": "pull_request:10228", + "right": "pull_request:9482", + "accept": false, + "reason": "LTX Video LoRA support and CogVideoX-I2V LoRA are separate model families and separate feature additions." + }, + { + "left": "pull_request:10254", + "right": "pull_request:9482", + "accept": false, + "reason": "HunyuanVideo LoRA and CogVideoX-I2V LoRA are different model-specific integrations, not the same change." + }, + { + "left": "pull_request:10228", + "right": "pull_request:10254", + "accept": false, + "reason": "Both add LoRA support, but for different video models (LTX vs Hunyuan); too broad to treat as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 14, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10229-3", + "nodes": [ + "pull_request:10229", + "pull_request:10488", + "pull_request:11414" + ], + "soft_pairs": [ + "pull_request:10229|pull_request:10488", + "pull_request:10488|pull_request:11414" + ], + "prepared_review_unit_hash": "fd6069cc69d641b65ccc923a5effa3fbf20681395e2b6c1e2a86d4746f544b6a", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6576, + "estimated_input_tokens": 1644, + "estimated_eval_tokens": 3544 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6576, + "estimated_input_tokens": 1644, + "estimated_eval_tokens": 3544 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three PRs, all in video/VAE-related areas, but they do not represent the same duplicate change. The two feature PRs target different model implementations (LTX vs Wan), and the docs-only PR is unrelated to the code change path.", + "confidence": 0.81, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10488 is the best canonical representative: it is a focused code change in the LTX Video VAE, includes tests, and explicitly targets issue 10333. PR 11414 is broader and model-specific to Wan, while 10229 is docs-only.", + "best_issue_reason": null, + "best_pr_reason": "PR 10488 is the strongest standalone PR in the cluster because it addresses a concrete implementation gap, has explicit issue linkage, and is more directly tied to the core feature than the docs-only edit or the separate Wan implementation.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10229", + "right": "pull_request:10488", + "accept": false, + "reason": "Docs wording/formatting changes are not the same underlying code-path fix as the LTX VAE framewise encoding/decoding implementation." + }, + { + "left": "pull_request:10488", + "right": "pull_request:11414", + "accept": false, + "reason": "Both are VAE tiling-related features, but they target different model code paths (LTX vs Wan) and are separate model-specific implementations, not one mergeable duplicate change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 15, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10234-7", + "nodes": [ + "pull_request:10234", + "pull_request:11111", + "pull_request:11281", + "pull_request:11381", + "pull_request:11494", + "pull_request:11858", + "pull_request:12056" + ], + "soft_pairs": [ + "pull_request:10234|pull_request:11494", + "pull_request:10234|pull_request:11281", + "pull_request:10234|pull_request:11111", + "pull_request:10234|pull_request:11381", + "pull_request:11111|pull_request:11281", + "pull_request:11111|pull_request:11381", + "pull_request:11281|pull_request:11381", + "pull_request:11381|pull_request:11494", + "pull_request:11381|pull_request:12056", + "pull_request:11494|pull_request:12056", + "pull_request:11858|pull_request:12056" + ], + "prepared_review_unit_hash": "5e5d3ffd129d4a01ddd34eaedd42273c19c8b9e8bf8f816a3e244b178ee62c57", + "component_budget": { + "node_count": 7, + "item_count": 7, + "soft_pair_count": 11, + "serialized_chars": 19502, + "estimated_input_tokens": 4876, + "estimated_eval_tokens": 10008 + }, + "budget": { + "node_count": 7, + "item_count": 7, + "soft_pair_count": 11, + "serialized_chars": 19502, + "estimated_input_tokens": 4876, + "estimated_eval_tokens": 10008 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is thematically related (mostly LoRA/training docs and model support), but the PRs target different models and distinct changes, so they are not duplicates. I would not merge any soft-edge pair.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "If a single PR must serve as the anchor, pull_request:11281 is the most central LoRA-enablement change in the set: it adds core HiDream LoRA support across loaders, pipeline code, training script, docs, and tests. That said, the cluster does not contain true duplicate PRs.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:11281 is the strongest representative because it is the broadest foundational LoRA feature PR in the group, while the others are model-specific follow-ups, optimizations, or unrelated enhancements.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10234", + "right": "pull_request:11494", + "accept": false, + "reason": "Different model/features: SANA LoRA support vs HiDream quantized training. Related area, but not the same underlying change." + }, + { + "left": "pull_request:10234", + "right": "pull_request:11281", + "accept": false, + "reason": "Both add LoRA support, but for different pipelines/models (SANA vs HiDream) and different code paths." + }, + { + "left": "pull_request:10234", + "right": "pull_request:11111", + "accept": false, + "reason": "SANA LoRA support vs Flux LoRA script fixes; same broad subsystem, but distinct changes and targets." + }, + { + "left": "pull_request:10234", + "right": "pull_request:11381", + "accept": false, + "reason": "SANA LoRA support vs HiDream README/training optimizations. Not the same code-path problem." + }, + { + "left": "pull_request:11111", + "right": "pull_request:11281", + "accept": false, + "reason": "Flux LoRA script fixes vs HiDream LoRA support. Shared topic, but not mergeable as one PR." + }, + { + "left": "pull_request:11111", + "right": "pull_request:11381", + "accept": false, + "reason": "Flux fixes and HiDream training/readme updates are separate model-specific changes." + }, + { + "left": "pull_request:11281", + "right": "pull_request:11381", + "accept": false, + "reason": "HiDream LoRA support vs HiDream training README optimizations. The latter is documentation/training-example tuning, not the same feature change." + }, + { + "left": "pull_request:11381", + "right": "pull_request:11494", + "accept": false, + "reason": "Both touch HiDream training docs/script, but one is general optimizations and the other adds quantization support; different concrete changes." + }, + { + "left": "pull_request:11381", + "right": "pull_request:12056", + "accept": false, + "reason": "HiDream training example updates vs Qwen Image LoRA support. Different models and code paths." + }, + { + "left": "pull_request:11494", + "right": "pull_request:12056", + "accept": false, + "reason": "HiDream quantization support vs Qwen Image LoRA support are unrelated feature additions." + }, + { + "left": "pull_request:11858", + "right": "pull_request:12056", + "accept": false, + "reason": "Kontext i2i training support vs Qwen Image LoRA support; same training area, but clearly different model-specific work." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 16, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1024-2", + "nodes": [ + "pull_request:1024", + "pull_request:1085" + ], + "soft_pairs": [ + "pull_request:1024|pull_request:1085" + ], + "prepared_review_unit_hash": "552d74a71454a5b287614d739731f0038b34edad2728d471b0b6fbd2c081a506", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4649, + "estimated_input_tokens": 1163, + "estimated_eval_tokens": 2582 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4649, + "estimated_input_tokens": 1163, + "estimated_eval_tokens": 2582 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related sequential-CPU-offload Stable Diffusion PRs, but they are not duplicates: one documents/threads the feature for the base pipeline, while the other adds the feature to img2img/inpaint pipelines. They touch the same general area but different code paths and deliver different changes.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1085 is the better canonical PR because it contains the broader functional change: adding sequential CPU offload support to additional Stable Diffusion pipelines with tests, whereas PR #1024 is mainly documentation plus a small base-pipeline tweak.", + "best_issue_reason": null, + "best_pr_reason": "PR #1085 is the best representative of the cluster because it is the substantive implementation PR; PR #1024 is more of a documentation/update companion rather than the core feature change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1024", + "right": "pull_request:1085", + "accept": false, + "reason": "Same broad feature area, but not the same concrete change: #1024 documents sequential CPU offload for the base Stable Diffusion pipeline, while #1085 implements it for img2img/inpaint pipelines. They would not plausibly be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 17, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9891-2", + "nodes": [ + "pull_request:10252", + "pull_request:9891" + ], + "soft_pairs": [ + "pull_request:10252|pull_request:9891" + ], + "prepared_review_unit_hash": "795339f249bd146d1de2c0ac2bc2a67e871c29b2e59ebec44debaa83f5b19a58", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2898, + "estimated_input_tokens": 725, + "estimated_eval_tokens": 1706 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2898, + "estimated_input_tokens": 725, + "estimated_eval_tokens": 1706 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are both about checkpoint saving, but they do not look like the same concrete bug fix. PR 10252 is a specific LoRA save-hook fix in the SD3 DreamBooth example, while PR 9891 is a broader checkpoint-saving issue tied to a separate tracked issue.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10252 is the better canonical PR because it has a concrete diff, a single affected file, and a narrowly defined bug fix in the LoRA checkpoint save path.", + "best_issue_reason": null, + "best_pr_reason": "PR 10252 is the best representative of the cluster because it is the most specific and actionable change; PR 9891 is broader, lacks diff preview here, and appears to address a different checkpoint-saving problem.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10252", + "right": "pull_request:9891", + "accept": false, + "reason": "Reject: both relate to saving/checkpointing, but the evidence points to different underlying problems. 10252 fixes the SD3 LoRA model-save hook and dtype handling, while 9891 targets a broader checkpoint-saving flow and references issue 2606. They would not plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 18, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1028-3", + "nodes": [ + "pull_request:1028", + "pull_request:1071", + "pull_request:1142" + ], + "soft_pairs": [ + "pull_request:1028|pull_request:1071", + "pull_request:1028|pull_request:1142", + "pull_request:1071|pull_request:1142" + ], + "prepared_review_unit_hash": "4f919d2c2f19e396e9607838a26a9637716251a7c86d8cac55940c1e61d40adc", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 9303, + "estimated_input_tokens": 2326, + "estimated_eval_tokens": 4908 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 9303, + "estimated_input_tokens": 2326, + "estimated_eval_tokens": 4908 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs center on the same multilingual Stable Diffusion community pipeline, with overlapping edits to the same pipeline file and related community docs. PR 1142 is the cleanest representative because it is the merged, focused version of that feature.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1142 is the merged, focused implementation of the multilingual stable diffusion community pipeline and best captures the final intended change without the extra unrelated churn present in PR 1071.", + "best_issue_reason": null, + "best_pr_reason": "PR 1142 is the best representative because it is merged, narrowly scoped to the multilingual pipeline, and directly matches the shared feature across the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1028", + "right": "pull_request:1071", + "accept": true, + "reason": "Both PRs introduce the multilingual stable diffusion community pipeline and overlap on the same core pipeline file; 1028 looks like an earlier broader proposal of the same change." + }, + { + "left": "pull_request:1028", + "right": "pull_request:1142", + "accept": true, + "reason": "They target the same multilingual stable diffusion pipeline change, with shared edits to examples/community/multilingual_stable_diffusion.py and community docs." + }, + { + "left": "pull_request:1071", + "right": "pull_request:1142", + "accept": true, + "reason": "Same title, same core pipeline file, and same community-pipeline feature; 1142 appears to be the narrower finalized version of the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 19, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10284-2", + "nodes": [ + "pull_request:10284", + "pull_request:10300" + ], + "soft_pairs": [ + "pull_request:10284|pull_request:10300" + ], + "prepared_review_unit_hash": "7e0f66c26476a14d90d046bb3165287a4234520026d991ca54e3b509bab9e9f4", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3533, + "estimated_input_tokens": 884, + "estimated_eval_tokens": 2024 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3533, + "estimated_input_tokens": 884, + "estimated_eval_tokens": 2024 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These Mochi PRs touch the same model family but fix different things: one makes empty-prompt embedding zeroing configurable in the pipeline, the other adds transformer sharding support across GPUs. They should not be merged as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR as a duplicate target here; the two changes address different code paths and user problems.", + "best_issue_reason": null, + "best_pr_reason": "PR #10284 is the more self-contained user-facing behavior change, but it is not a duplicate of #10300.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10284", + "right": "pull_request:10300", + "accept": false, + "reason": "Different underlying changes: pipeline prompt-embedding behavior vs transformer multi-GPU splitting. Same subsystem, but not the same bug or fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 20, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10308-3", + "nodes": [ + "pull_request:10308", + "pull_request:11515", + "pull_request:11520" + ], + "soft_pairs": [ + "pull_request:10308|pull_request:11515", + "pull_request:10308|pull_request:11520", + "pull_request:11515|pull_request:11520" + ], + "prepared_review_unit_hash": "023f58fff308298dea14b790beeb598a4e10993a3b67bd044f53ea979f9d3d2b", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7322, + "estimated_input_tokens": 1831, + "estimated_eval_tokens": 3918 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7322, + "estimated_input_tokens": 1831, + "estimated_eval_tokens": 3918 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three separate PRs that only overlap at a broad theme of model/runtime support and test coverage. PR #10308 is a substantive feature fix for `_no_split_modules`; #11515 adds a training/offloading test; #11520 changes a Framepack model attribute and adds model tests. None look like the same underlying change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10308 is the best canonical PR because it makes the actual code change to add `_no_split_modules` across affected models and includes targeted tests. The other two PRs are mostly test-only or cover a different model/runtime concern.", + "best_issue_reason": null, + "best_pr_reason": "PR #10308 is the strongest representative of the cluster since it addresses a concrete implementation gap rather than just expanding test coverage, and it has the clearest single change-set tied to the cluster theme.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10308", + "right": "pull_request:11515", + "accept": false, + "reason": "#10308 adds `_no_split_modules` support; #11515 adds a training group-offloading test. Different code paths and different goals, so not the same change." + }, + { + "left": "pull_request:10308", + "right": "pull_request:11520", + "accept": false, + "reason": "#10308 is about `_no_split_modules` for several models; #11520 changes Framepack gradient checkpointing state and adds tests. Different model and different behavior." + }, + { + "left": "pull_request:11515", + "right": "pull_request:11520", + "accept": false, + "reason": "Both are test-oriented PRs, but they target unrelated functionality: group offloading during training versus Framepack model support. They would not plausibly merge into one PR as the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 21, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10363-2", + "nodes": [ + "pull_request:10363", + "pull_request:10561" + ], + "soft_pairs": [ + "pull_request:10363|pull_request:10561" + ], + "prepared_review_unit_hash": "b72ee631837d16c6edd7feae58a8641267cc1ae6bf36e0ea40858517aff3e916", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4532, + "estimated_input_tokens": 1133, + "estimated_eval_tokens": 2522 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4532, + "estimated_input_tokens": 1133, + "estimated_eval_tokens": 2522 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs add IP-Adapter support to SD3 ControlNet pipelines, but they target different pipeline variants: the base ControlNet pipeline vs. the inpainting pipeline. They are closely related feature work, not the same concrete code-path change, so they should not be deduplicated as one PR.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:10363 is the better canonical PR because it is the earlier, more general SD3 ControlNet IP-Adapter implementation and explicitly links to an issue; 10561 is a follow-up for the inpainting variant.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:10363 is the best representative of this cluster because it captures the primary feature addition and has the clearest tracking context. 10561 is similar but narrower and file-specific.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10363", + "right": "pull_request:10561", + "accept": false, + "reason": "Same broad feature area, but different concrete pipelines and different changed files. The base ControlNet pipeline and the inpainting pipeline are separate code paths, so these are related PRs rather than duplicates that could reasonably be merged into one change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 22, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6255-18", + "nodes": [ + "pull_request:10377", + "pull_request:10766", + "pull_request:10984", + "pull_request:11234", + "pull_request:11364", + "pull_request:11415", + "pull_request:11429", + "pull_request:11664", + "pull_request:11686", + "pull_request:11748", + "pull_request:11924", + "pull_request:12279", + "pull_request:6255", + "pull_request:6539", + "pull_request:7635", + "pull_request:7873", + "pull_request:8971", + "pull_request:9956" + ], + "soft_pairs": [ + "pull_request:6255|pull_request:7635", + "pull_request:6255|pull_request:7873", + "pull_request:6255|pull_request:6539", + "pull_request:6539|pull_request:7873", + "pull_request:6539|pull_request:7635", + "pull_request:7635|pull_request:7873", + "pull_request:7635|pull_request:8971", + "pull_request:7873|pull_request:8971", + "pull_request:10377|pull_request:8971", + "pull_request:8971|pull_request:9956", + "pull_request:11234|pull_request:9956", + "pull_request:11415|pull_request:9956", + "pull_request:11429|pull_request:9956", + "pull_request:10377|pull_request:9956", + "pull_request:10984|pull_request:9956", + "pull_request:10377|pull_request:10984", + "pull_request:10377|pull_request:11234", + "pull_request:10377|pull_request:10766", + "pull_request:10377|pull_request:11664", + "pull_request:10766|pull_request:11364", + "pull_request:10766|pull_request:11664", + "pull_request:10766|pull_request:10984", + "pull_request:10766|pull_request:11429", + "pull_request:10984|pull_request:11234", + "pull_request:10984|pull_request:11364", + "pull_request:10984|pull_request:11664", + "pull_request:11234|pull_request:11429", + "pull_request:11234|pull_request:11686", + "pull_request:11364|pull_request:11664", + "pull_request:11364|pull_request:12279", + "pull_request:11364|pull_request:11429", + "pull_request:11415|pull_request:11924", + "pull_request:11415|pull_request:11429", + "pull_request:11415|pull_request:11748", + "pull_request:11234|pull_request:11415", + "pull_request:11429|pull_request:11664", + "pull_request:11429|pull_request:11686", + "pull_request:11429|pull_request:11748", + "pull_request:11664|pull_request:12279", + "pull_request:11686|pull_request:11748", + "pull_request:11686|pull_request:11924", + "pull_request:10377|pull_request:11686", + "pull_request:11234|pull_request:11748", + "pull_request:11748|pull_request:11924", + "pull_request:11234|pull_request:11924", + "pull_request:11429|pull_request:11924", + "pull_request:11429|pull_request:12279", + "pull_request:11748|pull_request:12279", + "pull_request:11415|pull_request:12279" + ], + "prepared_review_unit_hash": "599b30c037f90866f02306d131c43061aace2367c19dd324782e76e5374d4dac", + "component_budget": { + "node_count": 18, + "item_count": 18, + "soft_pair_count": 49, + "serialized_chars": 45396, + "estimated_input_tokens": 11349, + "estimated_eval_tokens": 22954 + }, + "budget": { + "node_count": 18, + "item_count": 18, + "soft_pair_count": 49, + "serialized_chars": 45396, + "estimated_input_tokens": 11349, + "estimated_eval_tokens": 22954 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are all dependency bump PRs, but they target different packages, versions, or example directories; none look like the same underlying change. The strongest single representative PR is the merged server torch refresh (11429), since it updates both requirements.in and the generated lockfile.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true duplicate PR cluster here; if a representative is needed, PR 11429 is the most canonical because it is a merged, end-to-end torch refresh that updates both the input spec and compiled requirements.", + "best_issue_reason": null, + "best_pr_reason": "PR 11429 is the best overall representative: it has the broadest, cleanest dependency refresh in the server example and includes both requirements.in and requirements.txt changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6255", + "right": "pull_request:7635", + "accept": false, + "reason": "Same file and subsystem, but different transformers versions (4.36.0 vs 4.38.0); separate upgrades, not one change." + }, + { + "left": "pull_request:6255", + "right": "pull_request:7873", + "accept": false, + "reason": "Both touch realfill requirements, but one bumps transformers and the other bumps jinja2; different packages and fixes." + }, + { + "left": "pull_request:6255", + "right": "pull_request:6539", + "accept": false, + "reason": "Different dependency targets: transformers bump vs jinja2 bump." + }, + { + "left": "pull_request:6539", + "right": "pull_request:7873", + "accept": false, + "reason": "Adjacent jinja2 version bumps, but each PR is a distinct upgrade step." + }, + { + "left": "pull_request:6539", + "right": "pull_request:7635", + "accept": false, + "reason": "Jinja2 bump versus transformers bump; not the same underlying change." + }, + { + "left": "pull_request:7635", + "right": "pull_request:7873", + "accept": false, + "reason": "Different packages in the same file, so these are separate dependency updates." + }, + { + "left": "pull_request:7635", + "right": "pull_request:8971", + "accept": false, + "reason": "Both are realfill dependency bumps, but one updates transformers and the other updates torch." + }, + { + "left": "pull_request:7873", + "right": "pull_request:8971", + "accept": false, + "reason": "Jinja2 bump and torch bump are unrelated changes." + }, + { + "left": "pull_request:10377", + "right": "pull_request:8971", + "accept": false, + "reason": "Different package bumps in the same example file: jinja2 vs torch." + }, + { + "left": "pull_request:8971", + "right": "pull_request:9956", + "accept": false, + "reason": "Different example directories and different packages; not the same fix." + }, + { + "left": "pull_request:11234", + "right": "pull_request:9956", + "accept": false, + "reason": "Server requirement updates, but one is jinja2 and the other is aiohttp; distinct dependency changes." + }, + { + "left": "pull_request:11415", + "right": "pull_request:9956", + "accept": false, + "reason": "h11 bump versus aiohttp bump; different concrete changes." + }, + { + "left": "pull_request:11429", + "right": "pull_request:9956", + "accept": false, + "reason": "Torch refresh in server versus aiohttp bump; separate dependency updates." + }, + { + "left": "pull_request:10377", + "right": "pull_request:9956", + "accept": false, + "reason": "Realfill jinja2 bump is unrelated to server aiohttp bump." + }, + { + "left": "pull_request:10984", + "right": "pull_request:9956", + "accept": false, + "reason": "Realfill jinja2 bump versus server aiohttp bump; different targets and examples." + }, + { + "left": "pull_request:10377", + "right": "pull_request:10984", + "accept": false, + "reason": "Both are realfill jinja2 bumps, but they are different version increments (3.1.4->3.1.5 vs 3.1.5->3.1.6)." + }, + { + "left": "pull_request:10377", + "right": "pull_request:11234", + "accept": false, + "reason": "Realfill jinja2 bump and server jinja2 bump are different files/examples and different version updates." + }, + { + "left": "pull_request:10377", + "right": "pull_request:10766", + "accept": false, + "reason": "Realfill jinja2 bump versus realfill transformers bump; different dependency changes." + }, + { + "left": "pull_request:10377", + "right": "pull_request:11664", + "accept": false, + "reason": "Different torch/jinja2 upgrade paths in realfill; not the same change." + }, + { + "left": "pull_request:10766", + "right": "pull_request:11364", + "accept": false, + "reason": "Transformers bump versus torch bump; unrelated dependency updates." + }, + { + "left": "pull_request:10766", + "right": "pull_request:11664", + "accept": false, + "reason": "Different packages and version targets; not duplicates." + }, + { + "left": "pull_request:10766", + "right": "pull_request:10984", + "accept": false, + "reason": "Transformers bump versus jinja2 bump, so they do not represent the same fix." + }, + { + "left": "pull_request:10766", + "right": "pull_request:11429", + "accept": false, + "reason": "Realfill transformers bump and server torch bump are different examples and packages." + }, + { + "left": "pull_request:10984", + "right": "pull_request:11234", + "accept": false, + "reason": "Both are jinja2 bumps, but in different examples and different version steps." + }, + { + "left": "pull_request:10984", + "right": "pull_request:11364", + "accept": false, + "reason": "Realfill jinja2 bump versus realfill torch bump; different dependency targets." + }, + { + "left": "pull_request:10984", + "right": "pull_request:11664", + "accept": false, + "reason": "Both in realfill, but one changes jinja2 and the other changes torch." + }, + { + "left": "pull_request:11234", + "right": "pull_request:11429", + "accept": false, + "reason": "Server jinja2 bump and server torch bump are separate dependency refreshes." + }, + { + "left": "pull_request:11234", + "right": "pull_request:11686", + "accept": false, + "reason": "Jinja2 bump versus requests bump; different packages and fixes." + }, + { + "left": "pull_request:11364", + "right": "pull_request:11664", + "accept": false, + "reason": "Torch bumps to different target versions; distinct updates." + }, + { + "left": "pull_request:11364", + "right": "pull_request:12279", + "accept": false, + "reason": "Both are realfill torch bumps, but to different versions and at different times." + }, + { + "left": "pull_request:11364", + "right": "pull_request:11429", + "accept": false, + "reason": "Realfill torch bump versus server torch bump; different example and dependency context." + }, + { + "left": "pull_request:11415", + "right": "pull_request:11924", + "accept": false, + "reason": "h11 bump versus aiohttp bump; separate server dependency changes." + }, + { + "left": "pull_request:11415", + "right": "pull_request:11429", + "accept": false, + "reason": "Different server dependencies: h11 versus torch." + }, + { + "left": "pull_request:11429", + "right": "pull_request:11686", + "accept": false, + "reason": "Torch refresh versus requests bump; not the same code-path or dependency change." + }, + { + "left": "pull_request:11429", + "right": "pull_request:11748", + "accept": false, + "reason": "Torch bump versus urllib3 bump; distinct updates in the server example." + }, + { + "left": "pull_request:11429", + "right": "pull_request:12279", + "accept": false, + "reason": "Server torch bump and realfill torch bump are different example stacks and target versions." + }, + { + "left": "pull_request:11664", + "right": "pull_request:12279", + "accept": false, + "reason": "Both are realfill torch bumps, but they bump to different versions and are separate PRs." + }, + { + "left": "pull_request:11686", + "right": "pull_request:11748", + "accept": false, + "reason": "Requests bump versus urllib3 bump; different dependencies." + }, + { + "left": "pull_request:11686", + "right": "pull_request:11924", + "accept": false, + "reason": "Requests bump versus aiohttp bump; not the same underlying change." + }, + { + "left": "pull_request:11748", + "right": "pull_request:11924", + "accept": false, + "reason": "urllib3 bump versus aiohttp bump; unrelated dependency updates." + }, + { + "left": "pull_request:11234", + "right": "pull_request:11924", + "accept": false, + "reason": "Jinja2 bump versus aiohttp bump in the server example; different targets." + }, + { + "left": "pull_request:11429", + "right": "pull_request:11924", + "accept": false, + "reason": "Torch refresh versus aiohttp bump; separate dependency changes." + }, + { + "left": "pull_request:11748", + "right": "pull_request:12279", + "accept": false, + "reason": "Server urllib3 bump and realfill torch bump are unrelated changes." + }, + { + "left": "pull_request:11415", + "right": "pull_request:12279", + "accept": false, + "reason": "Server h11 bump versus realfill torch bump; different example and dependency." + }, + { + "left": "pull_request:10377", + "right": "pull_request:11686", + "accept": false, + "reason": "Realfill jinja2 bump versus server requests bump; different packages and examples." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 23, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10400-2", + "nodes": [ + "pull_request:10400", + "pull_request:11189" + ], + "soft_pairs": [ + "pull_request:10400|pull_request:11189" + ], + "prepared_review_unit_hash": "f93c4fde766781e0d772bfb763dfd980af10092321c77c501cde568ee3d4b0a4", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3868, + "estimated_input_tokens": 967, + "estimated_eval_tokens": 2190 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3868, + "estimated_input_tokens": 967, + "estimated_eval_tokens": 2190 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs touch related pipeline optional-component logic, but they fix different bugs in different code paths: PR #10400 corrects AutoPipeline.from_pipe to compare against the target pipeline\u2019s optional components, while PR #11189 fixes a generic set-operation bug in pipeline_utils when reporting missing mandatory components. They are not the same underlying change and should not be merged as duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10400 is the cleaner canonical representative: it has an explicit linked issue, a focused bug description, and a concrete fix in the AutoPipeline conversion path.", + "best_issue_reason": null, + "best_pr_reason": "PR #10400 is the best representative for the cluster because it most directly captures the shared theme of optional-component handling, but it is still a distinct change from PR #11189.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10400", + "right": "pull_request:11189", + "accept": false, + "reason": "Reject: these are different fixes. #10400 changes AutoPipeline.from_pipe to use the target pipeline class\u2019s optional components; #11189 changes pipeline_utils error reporting by converting optional_kwargs to a set. Same broad subsystem, but not the same concrete bug or mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 24, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10401-2", + "nodes": [ + "pull_request:10401", + "pull_request:10574" + ], + "soft_pairs": [ + "pull_request:10401|pull_request:10574" + ], + "prepared_review_unit_hash": "7e1270f4133b83a0126d0b166ef7f5fc455cd7a97786dbcfb4b442973e4b8c4a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4568, + "estimated_input_tokens": 1142, + "estimated_eval_tokens": 2540 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4568, + "estimated_input_tokens": 1142, + "estimated_eval_tokens": 2540 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are both bitsandbytes PRs, but they address different changes: PR 10401 refactors bnb int8 dequantization, while PR 10574 adds multi-backend bitsandbytes support and updates validation/tests. Shared files alone are not enough to treat them as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10574 is the better cluster representative because it has the broader, explicitly targeted bitsandbytes backend change, with an issue link and multiple touched components/tests.", + "best_issue_reason": null, + "best_pr_reason": "PR 10574 is the strongest standalone PR in this cluster: it has a clear feature goal, explicit issue target, and broader user-facing impact than the small dequantization helper tweak in 10401.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10401", + "right": "pull_request:10574", + "accept": false, + "reason": "Different underlying changes: 10401 only adjusts bnb dequantization logic, while 10574 changes backend validation and adds multi-backend support plus tests. They are related by subsystem, not the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 25, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9986-2", + "nodes": [ + "pull_request:10417", + "pull_request:9986" + ], + "soft_pairs": [ + "pull_request:10417|pull_request:9986" + ], + "prepared_review_unit_hash": "85840d0978af8616d58750911860eff03c7d1d30c4f25005ad16515e5f425c67", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4428, + "estimated_input_tokens": 1107, + "estimated_eval_tokens": 2470 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4428, + "estimated_input_tokens": 1107, + "estimated_eval_tokens": 2470 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are related to the `examples/model_search` area, but they are not the same change. PR #9986 introduces the model-search example and setup, while PR #10417 is a later refinement that updates the example to use new auto-load helper methods and edits the README. They are adjacent enhancements, not duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9986 is the foundational change: it adds the model-search example, supporting files, and setup needed for the feature to exist at all.", + "best_issue_reason": null, + "best_pr_reason": "PR #9986 is the best representative of the cluster because it establishes the core feature and is broader and more complete than the follow-up refinement in #10417.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10417", + "right": "pull_request:9986", + "accept": false, + "reason": "They touch the same example files, but #9986 adds the original model-search functionality and #10417 only updates the example to new helper APIs. This is a follow-up improvement, not the same concrete code-path fix, so they should not be merged as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 26, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10440-2", + "nodes": [ + "pull_request:10440", + "pull_request:10441" + ], + "soft_pairs": [ + "pull_request:10440|pull_request:10441" + ], + "prepared_review_unit_hash": "35e2afc7a49217c977dd3a1a41db81f99d316357bb89ebf1db7828affb70cf20", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6918, + "estimated_input_tokens": 1730, + "estimated_eval_tokens": 3716 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6918, + "estimated_input_tokens": 1730, + "estimated_eval_tokens": 3716 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two related but distinct PRs: one makes pipelines work without a UNet, the other without a VAE. They touch similar example pipelines but fix different initialization paths, so they should not be deduplicated.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: these are separate fixes for different optional components (UNet vs VAE), not the same underlying change.", + "best_issue_reason": null, + "best_pr_reason": "PR 10441 is the better standalone representative only if one must be chosen, because it addresses a concrete missing-VAE initialization path across many pipelines and is slightly broader in scope.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10440", + "right": "pull_request:10441", + "accept": false, + "reason": "Different bug classes: 10440 guards pipelines when UNet is absent, while 10441 handles missing VAE/vae_scale_factor initialization. Shared example files reflect the same family of pipelines, not the same code-path fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 27, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9818-2", + "nodes": [ + "pull_request:10456", + "pull_request:9818" + ], + "soft_pairs": [ + "pull_request:10456|pull_request:9818" + ], + "prepared_review_unit_hash": "6abfcfef02c86d6d07537a9ea48f7a2aa8172a47a74142befd5e42a58f66caa9", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4271, + "estimated_input_tokens": 1068, + "estimated_eval_tokens": 2392 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4271, + "estimated_input_tokens": 1068, + "estimated_eval_tokens": 2392 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are closely related feature PRs, but they fix different model-specific code paths: SD3 vs CogVideoX. They should not be treated as duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "If a representative is needed, PR 9818 is the better canonical PR because it has an explicit issue link and addresses the shared attention-kwargs plumbing first; PR 10456 is a separate CogVideoX-specific extension.", + "best_issue_reason": null, + "best_pr_reason": "PR 9818 is the best PR overall: it is more directly grounded by an issue reference and patches the common attention/transformer path, while PR 10456 is a separate model-specific follow-up.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10456", + "right": "pull_request:9818", + "accept": false, + "reason": "Same general theme (pass kwargs to custom attention processors), but they modify different architectures and code paths, so they are not the same concrete change and would not plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 28, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9428-2", + "nodes": [ + "pull_request:10476", + "pull_request:9428" + ], + "soft_pairs": [ + "pull_request:10476|pull_request:9428" + ], + "prepared_review_unit_hash": "a8bc1aa56bd5626754480e7bb46b8a340f711b56723621013919a5a333b22da3", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6574, + "estimated_input_tokens": 1644, + "estimated_eval_tokens": 3544 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6574, + "estimated_input_tokens": 1644, + "estimated_eval_tokens": 3544 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are pull requests about model-path/documentation updates in Diffusers, but they target different changes: PR #10476 updates code/examples from RunwayML v1.5 paths to stable-diffusion-v1-5, while PR #9428 replaces the default model reference in docs with Lykon/dreamshaper-8. They are not the same underlying fix.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10476 is the better canonical representative because it makes a concrete runtime/code-path change across loaders and pipelines, whereas PR #9428 is primarily a documentation/model-reference update and covers a different target model.", + "best_issue_reason": null, + "best_pr_reason": "PR #10476 best fits the cluster as the more substantive and code-centric change; PR #9428 is not the same fix and is only loosely related by touching model-name references.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10476", + "right": "pull_request:9428", + "accept": false, + "reason": "Reject: the diffs address different model reference migrations. #10476 changes code/examples to the stable-diffusion-v1-5 path; #9428 updates docs to Lykon/dreamshaper-8. They do not fix the same concrete bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 29, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1052-2", + "nodes": [ + "pull_request:1052", + "pull_request:1113" + ], + "soft_pairs": [ + "pull_request:1052|pull_request:1113" + ], + "prepared_review_unit_hash": "b7adf1ccd5581747f5826d110ac9de0264c0ca5fa5daffb62ec8098bcc723419", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4553, + "estimated_input_tokens": 1139, + "estimated_eval_tokens": 2534 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4553, + "estimated_input_tokens": 1139, + "estimated_eval_tokens": 2534 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged test-focused PRs improve precision/expected-output comparisons in diffusers, but they target different pipelines and code paths, so they are related rather than duplicates.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1052 is the stronger representative: it has an explicit issue target, adds a reusable numpy-loading test utility, and touches several inpainting-related tests in a concrete, self-contained change.", + "best_issue_reason": null, + "best_pr_reason": "PR #1052 is the best overall representative because it has clearer intent, broader but still focused scope, and direct linkage to the tracking issue. PR #1113 is narrower and less canonical as a cluster anchor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1052", + "right": "pull_request:1113", + "accept": false, + "reason": "Both are precision-improvement test PRs, but they modify different stable-diffusion test areas and different expected-data handling. They do not appear to fix the same concrete bug or be mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 30, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10527-3", + "nodes": [ + "pull_request:10527", + "pull_request:11771", + "pull_request:11793" + ], + "soft_pairs": [ + "pull_request:10527|pull_request:11771", + "pull_request:10527|pull_request:11793", + "pull_request:11771|pull_request:11793" + ], + "prepared_review_unit_hash": "d613ed63b1e4ddbb5c85e78cdfca347dd2d8f6b810b25c44712997856d86c3fc", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7606, + "estimated_input_tokens": 1902, + "estimated_eval_tokens": 4060 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7606, + "estimated_input_tokens": 1902, + "estimated_eval_tokens": 4060 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs are test-skip cleanups, but they target different test paths and failure modes. They are related in theme, not duplicates.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11771 is the clearest representative: it makes shared test helpers explicitly skip unsupported gradient-checkpointing cases in the common modeling test base, which is a direct code-path fix rather than a scattered test annotation change.", + "best_issue_reason": null, + "best_pr_reason": "PR #11771 is the strongest single exemplar of the cluster because it addresses a concrete skip/return bug in shared test infrastructure and is narrowly scoped to one underlying behavior change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10527", + "right": "pull_request:11771", + "accept": false, + "reason": "Same general goal of marking unsupported tests as skipped, but #10527 is a broad unittest.skip annotation sweep across many test files while #11771 changes shared gradient-checkpointing logic in one helper; not the same underlying change." + }, + { + "left": "pull_request:10527", + "right": "pull_request:11793", + "accept": false, + "reason": "#10527 adds explicit skips to many unsupported tests, whereas #11793 replaces return with pytest.skip for UNet-only hotswap tests in a common helper; similar style, different behavior and code paths." + }, + { + "left": "pull_request:11771", + "right": "pull_request:11793", + "accept": false, + "reason": "Both edit tests/test_modeling_common.py, but they fix different conditions: gradient-checkpointing support vs UNet-only compiled-model hotswapping. Too different to treat as one duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 31, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10615-3", + "nodes": [ + "pull_request:10615", + "pull_request:11741", + "pull_request:12001" + ], + "soft_pairs": [ + "pull_request:10615|pull_request:11741", + "pull_request:11741|pull_request:12001" + ], + "prepared_review_unit_hash": "e967bd7266311c698a232d1d5f8f79038ae649b6f404f11da838b1c321c6eece", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 10045, + "estimated_input_tokens": 2512, + "estimated_eval_tokens": 5280 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 10045, + "estimated_input_tokens": 2512, + "estimated_eval_tokens": 5280 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are mostly licensing-header cleanup PRs. PR 10615 and 11741 are effectively the same year-bump chore across overlapping example/test files, while 12001 is a related but distinct follow-up to complete the license statement wording. No issue artifacts are present.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11741 is the best representative of the cluster because it is the broad 'remaining' 2025 licensing update and matches the same concrete year-change chore as 10615; 12001 is a different licensing-text completion change.", + "best_issue_reason": null, + "best_pr_reason": "11741 is the strongest canonical PR because it spans many files and directly reflects the same 2025 copyright/header update theme, making it the best umbrella representative of this licensing cleanup cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10615", + "right": "pull_request:11741", + "accept": true, + "reason": "Both PRs perform the same concrete licensing year update to 2025 across example/test files; 11741 looks like the continuation/remaining-file pass of the same change and could plausibly be merged into one PR." + }, + { + "left": "pull_request:11741", + "right": "pull_request:12001", + "accept": false, + "reason": "11741 is a 2025 copyright year bump, while 12001 adds the missing 'limitations under the License' line; same broad area, but not the same underlying change or code-path issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 32, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9080-3", + "nodes": [ + "pull_request:10626", + "pull_request:9080", + "pull_request:9082" + ], + "soft_pairs": [ + "pull_request:9080|pull_request:9082", + "pull_request:10626|pull_request:9082" + ], + "prepared_review_unit_hash": "05c7025acf1132f3e8f1f9aeaf326aa946ea05fbe58547a4c5cb3cc989a21ce7", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 10580, + "estimated_input_tokens": 2645, + "estimated_eval_tokens": 5546 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 10580, + "estimated_input_tokens": 2645, + "estimated_eval_tokens": 5546 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster contains two separate model-support PRs: CogVideoX (PRs 9080 and 9082, where 9080 appears to be an earlier version of the same change) and EasyAnimate (PR 10626). The CogVideoX pair should be deduplicated; EasyAnimate is unrelated and should remain separate.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9082 is the best canonical PR because it is the merged, more complete CogVideoX implementation and subsumes the earlier #9080 effort.", + "best_issue_reason": null, + "best_pr_reason": "#9082 is the strongest representative of the CogVideoX change set; #10626 is a different model family (EasyAnimate) and should not be chosen as the cluster representative.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9080", + "right": "pull_request:9082", + "accept": true, + "reason": "Same underlying CogVideoX feature addition with heavily overlapping files and content; #9080 looks like an earlier variant of the same PR and could plausibly be merged into #9082." + }, + { + "left": "pull_request:10626", + "right": "pull_request:9082", + "accept": false, + "reason": "Different model families and pipeline stacks (EasyAnimate vs CogVideoX); overlap is mostly generic docs/init plumbing, not the same concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 33, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8899-4", + "nodes": [ + "pull_request:10721", + "pull_request:8899", + "pull_request:9037", + "pull_request:9969" + ], + "soft_pairs": [ + "pull_request:8899|pull_request:9037", + "pull_request:8899|pull_request:9969", + "pull_request:10721|pull_request:9969" + ], + "prepared_review_unit_hash": "a25ff1884df92a5bf0358ba81bf4ceaad2cc18b1e1a92cd78b4f3c4815e9a129", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 8551, + "estimated_input_tokens": 2138, + "estimated_eval_tokens": 4532 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 8551, + "estimated_input_tokens": 2138, + "estimated_eval_tokens": 4532 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "No true duplicate cluster here: two PRs are separate TensorRT community pipeline updates, one is a broad diffusers sync, and one is a simple dependency bump. The soft similarities are mostly superficial or shared-scope, not the same underlying change.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR stands out as a duplicate target; the set is heterogeneous. If forced, PR #9969 is the cleanest self-contained change, but it is not actually the same change as the others.", + "best_issue_reason": null, + "best_pr_reason": "PR #9969 is the most focused and reviewable change in the set, but it is still unrelated to the other PRs in terms of concrete code-path impact.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8899", + "right": "pull_request:9037", + "accept": false, + "reason": "Both touch TensorRT community examples, but they update different pipelines (img2img vs txt2img/inpaint). Same area, not the same underlying fix/change." + }, + { + "left": "pull_request:8899", + "right": "pull_request:9969", + "accept": false, + "reason": "A community pipeline example update and a dependency version bump are unrelated changes; they do not fix the same code-path problem." + }, + { + "left": "pull_request:10721", + "right": "pull_request:9969", + "accept": false, + "reason": "PR #10721 is a broad diffusers code sync across loaders/models/pipelines, while #9969 only bumps huggingface-hub. Different scope and intent, so not a duplicate." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 34, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10742-3", + "nodes": [ + "pull_request:10742", + "pull_request:10811", + "pull_request:11192" + ], + "soft_pairs": [ + "pull_request:10742|pull_request:11192", + "pull_request:10742|pull_request:10811", + "pull_request:10811|pull_request:11192" + ], + "prepared_review_unit_hash": "338e45e79434b74161e8400928c801158b8cecc54beba920abefee34c0c9c7a0", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6728, + "estimated_input_tokens": 1682, + "estimated_eval_tokens": 3620 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6728, + "estimated_input_tokens": 1682, + "estimated_eval_tokens": 3620 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are all closely related type-annotation cleanups adding `Self`, but they change different classmethods in different mixins/APIs. They are thematically similar, not duplicates of the same concrete fix.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11192 is the best representative because it applies the `Self` typing update across multiple core mixin methods (`from_config`, `from_pretrained`) and is the broadest of the three related annotation cleanups.", + "best_issue_reason": null, + "best_pr_reason": "PR 11192 is the strongest standalone representative of the cluster: it covers core mixin return-type annotations in multiple files and is more broadly representative than the single-method PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10742", + "right": "pull_request:11192", + "accept": false, + "reason": "Both are `Self` return-type annotation changes, but they affect different APIs (`ModelMixin.from_pretrained` vs `ConfigMixin.from_config` / `SchedulerMixin.from_pretrained`) and are not the same underlying bug or mergeable single change." + }, + { + "left": "pull_request:10742", + "right": "pull_request:10811", + "accept": false, + "reason": "These are related typing cleanups, but one updates `ModelMixin.from_pretrained` while the other updates single-file loading mixins. Different code paths and not one concrete fix." + }, + { + "left": "pull_request:10811", + "right": "pull_request:11192", + "accept": false, + "reason": "Both touch mixin type hints, but one targets `from_single_file` loaders and the other targets config/scheduler mixins. Similar style, not the same duplicate change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 35, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1078-4", + "nodes": [ + "pull_request:1078", + "pull_request:1118", + "pull_request:2166", + "pull_request:2258" + ], + "soft_pairs": [ + "pull_request:1078|pull_request:1118", + "pull_request:1078|pull_request:2166", + "pull_request:2166|pull_request:2258" + ], + "prepared_review_unit_hash": "6bd5a5f5800cf3d73ee41ebaabba8117a66286bd4282df35eca945029820caf9", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 7707, + "estimated_input_tokens": 1927, + "estimated_eval_tokens": 4110 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 7707, + "estimated_input_tokens": 1927, + "estimated_eval_tokens": 4110 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "PR 1118 is the best canonical representative because it addresses the broader `None`-component pipeline problem, including the `safety_checker=None` case that PR 1078 touches. The other two PRs are separate fixes in different code paths and should not be deduplicated with these.", + "confidence": 0.78, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1118 is the broadest and most representative fix in the cluster: it handles saving/loading pipelines with `None` components, which directly covers the `safety_checker=None` edge case and subsumes the narrower offload guard in PR 1078.", + "best_issue_reason": null, + "best_pr_reason": "PR 1118 best captures the underlying bug pattern among the items. PR 1078 is only a narrow runtime guard for CPU offload, while 2166 and 2258 are unrelated changes to training output and MPS attention masking.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1078", + "right": "pull_request:1118", + "accept": false, + "reason": "Related theme (`safety_checker=None`), but not the same change: 1078 only skips CPU offload on `None`, while 1118 adds broader save/load support for `None` pipeline components. Not mergeable as one PR." + }, + { + "left": "pull_request:1078", + "right": "pull_request:2166", + "accept": false, + "reason": "Different code paths and bugs: CPU offload with `None` safety checker versus avoiding a deepcopy in an example training script." + }, + { + "left": "pull_request:2166", + "right": "pull_request:2258", + "accept": false, + "reason": "Unrelated fixes: one changes model unwrapping in a training example, the other fixes an MPS fp16 attention-mask dtype issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 36, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10836-4", + "nodes": [ + "pull_request:10836", + "pull_request:11836", + "pull_request:12150", + "pull_request:12733" + ], + "soft_pairs": [ + "pull_request:10836|pull_request:11836", + "pull_request:10836|pull_request:12150", + "pull_request:11836|pull_request:12733" + ], + "prepared_review_unit_hash": "423149ec084f37f36c9c30a99ad329b855711af17cb886c0d244b82b77a8f002", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 7440, + "estimated_input_tokens": 1860, + "estimated_eval_tokens": 3976 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 7440, + "estimated_input_tokens": 1860, + "estimated_eval_tokens": 3976 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All four items are small, unrelated debug-print removals in different code paths. They share a superficial theme, but they are not the same fix and should not be deduplicated together.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10836 is the best representative because it is merged and covers the broadest cleanup among the debug-print removals, but it is still only a standalone print-statement removal rather than a canonical duplicate for the others.", + "best_issue_reason": null, + "best_pr_reason": "PR 10836 is the strongest cluster representative: it is merged, touches more than one file, and is a typical finished cleanup change. The others are separate, narrower print removals in different modules, so none is a better global match.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10836", + "right": "pull_request:11836", + "accept": false, + "reason": "Both remove print/debug output, but they target different files and different code paths. This is a shared cleanup pattern, not the same underlying bug or change." + }, + { + "left": "pull_request:10836", + "right": "pull_request:12150", + "accept": false, + "reason": "PR 10836 deletes stray prints; PR 12150 changes CogView4 normalization behavior. The titles and diffs point to unrelated code changes, so they are not duplicates." + }, + { + "left": "pull_request:11836", + "right": "pull_request:12733", + "accept": false, + "reason": "Both are debug-print removals, but one is in the SCM scheduler and the other in Flux2 pipeline code. Different concrete locations and behavior, so they should not be merged." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 37, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10880-4", + "nodes": [ + "pull_request:10880", + "pull_request:10907", + "pull_request:10974", + "pull_request:11073" + ], + "soft_pairs": [ + "pull_request:10880|pull_request:10907", + "pull_request:10907|pull_request:11073", + "pull_request:10907|pull_request:10974", + "pull_request:10974|pull_request:11073" + ], + "prepared_review_unit_hash": "b371a2aa98d327f878bd6718c177fe5e80694385a446ce498b3248a1e27da426", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 9719, + "estimated_input_tokens": 2430, + "estimated_eval_tokens": 5116 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 9719, + "estimated_input_tokens": 2430, + "estimated_eval_tokens": 5116 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All four PRs are closely related cleanup/fix patches for ControlNet pipeline callback tensor inputs, but they address different pipeline families and different missing tensor names, so they should not be deduplicated together.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10907 is the best representative of the cluster because it is the broadest SD ControlNet callback-input fix, covering the base, img2img, and inpaint pipelines in one change.", + "best_issue_reason": null, + "best_pr_reason": "PR #10907 best captures the common underlying theme: missing callback tensor inputs in ControlNet pipelines, and it spans the widest set of SD ControlNet variants among the candidates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10880", + "right": "pull_request:10907", + "accept": false, + "reason": "Same general area, but different pipeline families (SDXL vs SD) and different missing callback tensors; not the same concrete bug/change." + }, + { + "left": "pull_request:10907", + "right": "pull_request:11073", + "accept": false, + "reason": "Both touch SD ControlNet inpaint, but 10907 adds missing image callback input while 11073 adds mask/masked_image_latents too; related but distinct fixes." + }, + { + "left": "pull_request:10907", + "right": "pull_request:10974", + "accept": false, + "reason": "Different code paths and model families: SD ControlNet pipelines versus Flux ControlNet pipelines, with different missing tensor inputs." + }, + { + "left": "pull_request:10974", + "right": "pull_request:11073", + "accept": false, + "reason": "Different pipeline families and different callback tensor additions; they are analogous fixes, not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 38, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10881-2", + "nodes": [ + "pull_request:10881", + "pull_request:10882" + ], + "soft_pairs": [ + "pull_request:10881|pull_request:10882" + ], + "prepared_review_unit_hash": "b3d994c5cb7533df9e93e5e826c875b7b337577e60d6df6bc039b4176409eb2d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4290, + "estimated_input_tokens": 1073, + "estimated_eval_tokens": 2402 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4290, + "estimated_input_tokens": 1073, + "estimated_eval_tokens": 2402 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are merged refactor PRs, but they target different areas: one removes extra Flux code, the other updates SD3 docs and code across attention/controlnet/transformer files. They do not look like the same underlying change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10882 is the broader, more representative refactor in this cluster; 10881 is a smaller, unrelated Flux cleanup.", + "best_issue_reason": null, + "best_pr_reason": "If one PR must stand in for the cluster, 10882 is the better representative because it spans more files and a broader SD3 refactor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10881", + "right": "pull_request:10882", + "accept": false, + "reason": "Different code paths and goals: Flux transformer cleanup vs SD3 documentation/code refactor. They are not the same fix and would not plausibly merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 39, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10939-2", + "nodes": [ + "pull_request:10939", + "pull_request:10946" + ], + "soft_pairs": [ + "pull_request:10939|pull_request:10946" + ], + "prepared_review_unit_hash": "4be7965c63c9be9a588f249406c08473caffc99f3889725ab035ef6cb14e1646", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4185, + "estimated_input_tokens": 1047, + "estimated_eval_tokens": 2350 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4185, + "estimated_input_tokens": 1047, + "estimated_eval_tokens": 2350 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are related to remote VAE decode tests, but they are not the same change: #10939 is a narrow endpoint swap, while #10946 adds endpoint constants and slow-test plumbing for broader coverage. I would not deduplicate them.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "#10946 is the better representative of this theme because it is the broader, cleaner test-update PR: it introduces named endpoint constants and slow-test setup, whereas #10939 only replaces one endpoint URL in-place.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10939", + "right": "pull_request:10946", + "accept": false, + "reason": "Same test file, but different concrete changes and scope. #10939 just updates an endpoint URL; #10946 refactors the test setup and adds slow-test constants. They do not look like the same underlying fix/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 40, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10944-2", + "nodes": [ + "pull_request:10944", + "pull_request:11622" + ], + "soft_pairs": [ + "pull_request:10944|pull_request:11622" + ], + "prepared_review_unit_hash": "4d484c463433a826f30799b99b4f376fba335a84dfaa317fef84a762fbe22a32", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3690, + "estimated_input_tokens": 923, + "estimated_eval_tokens": 2102 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3690, + "estimated_input_tokens": 923, + "estimated_eval_tokens": 2102 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are not duplicates: one is a small CogView4 device-placement fix, the other adds IP-Adapter support/loading to Flux Fill. They touch different pipelines and different code paths.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10944 is the cleaner, concrete bugfix and the only merged change; PR 11622 is a broader Flux Fill feature update with a different purpose.", + "best_issue_reason": null, + "best_pr_reason": "PR 10944 is the best representative for the cluster because it is a precise, self-contained fix with clear scope. PR 11622 is unrelated feature work rather than the same underlying bug/change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10944", + "right": "pull_request:11622", + "accept": false, + "reason": "Different pipelines and different changes: CogView4 device/device-placement fix vs Flux Fill IP-Adapter plumbing. They do not appear to fix the same bug or belong in one merged PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 41, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10973-3", + "nodes": [ + "pull_request:10973", + "pull_request:11239", + "pull_request:11240" + ], + "soft_pairs": [ + "pull_request:10973|pull_request:11239", + "pull_request:10973|pull_request:11240", + "pull_request:11239|pull_request:11240" + ], + "prepared_review_unit_hash": "b6ca1bb692d9284286b462e04b460e813ca8d7b275e5d3a3ee3c4ea0f1ab2920", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7045, + "estimated_input_tokens": 1762, + "estimated_eval_tokens": 3780 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7045, + "estimated_input_tokens": 1762, + "estimated_eval_tokens": 3780 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs fix the same scheduler-step miscalculation in DreamBooth training scripts when `num_train_epochs` is used under distributed training; they are closely related code changes across different variants of the same example.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11239 is the best canonical PR: it has the explicit issue link to #8384, a clear title describing the bug, and it addresses the base `train_dreambooth.py` implementation with the core fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #11239 is the strongest representative because it directly references the tracking issue and contains the same scheduler fix in the main DreamBooth script.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10973", + "right": "pull_request:11239", + "accept": true, + "reason": "Same underlying LR scheduler bug in DreamBooth distributed training; both patch the same scheduler-step logic in analogous training scripts and could plausibly be combined into one multi-file fix." + }, + { + "left": "pull_request:10973", + "right": "pull_request:11240", + "accept": true, + "reason": "Same bug and same fix pattern, just applied to the LoRA and LoRA-SDXL DreamBooth variants; this is a shared concrete code-path issue, not merely a broad subsystem overlap." + }, + { + "left": "pull_request:11239", + "right": "pull_request:11240", + "accept": true, + "reason": "Both target issue #8384 and make the same scheduler correction in closely related DreamBooth scripts, so they represent the same underlying change family and could be merged together." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 42, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11079-2", + "nodes": [ + "pull_request:11079", + "pull_request:11587" + ], + "soft_pairs": [ + "pull_request:11079|pull_request:11587" + ], + "prepared_review_unit_hash": "2aba173a58c652712bbb424ee7d37ad07e6599639a224f1fa191c8cbdfa105e7", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3985, + "estimated_input_tokens": 997, + "estimated_eval_tokens": 2250 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3985, + "estimated_input_tokens": 997, + "estimated_eval_tokens": 2250 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two pull requests are unrelated: one fixes PixArt one-step inference behavior, the other fixes safetensors/variant loading compatibility. They should not be clustered as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:11587 is the stronger standalone fix: it addresses a clearly described loading bug, updates the utility code, and adds tests. It is also more self-contained than the PixArt inference patch.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:11587 is the better representative PR overall because it has a more explicit bug statement, broader utility impact, and test coverage. pull_request:11079 is a narrow model-specific inference adjustment and does not represent the same underlying change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11079", + "right": "pull_request:11587", + "accept": false, + "reason": "Different underlying bugs and code paths: PixArt scheduler output handling for num_inference_steps=1 versus pipeline loading/safetensors variant compatibility. They are not mergeable as one PR and do not fix the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 43, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-977-2", + "nodes": [ + "pull_request:1108", + "pull_request:977" + ], + "soft_pairs": [ + "pull_request:1108|pull_request:977" + ], + "prepared_review_unit_hash": "73b7401ad5f7d1239ae2e954813f66d2055f599bf8e3d76f09449ff95639cb17", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4152, + "estimated_input_tokens": 1038, + "estimated_eval_tokens": 2332 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4152, + "estimated_input_tokens": 1038, + "estimated_eval_tokens": 2332 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two very similar PRs fix the same constructor argument typo in different UNet modules, but they touch separate code paths/files and should not be deduplicated as the same change.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1108 is the stronger representative: it is merged and applies the same typo fix in `src/diffusers/models/unet_2d_blocks.py` with the same minimal scope.", + "best_issue_reason": null, + "best_pr_reason": "PR #1108 is the best overall PR candidate because it is the merged, completed version of this narrow fix; PR #977 is similar but remains an independent change in a different module.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1108", + "right": "pull_request:977", + "accept": false, + "reason": "They implement the same small typo correction, but in different files/modules (`unet_2d_blocks.py` vs `unet_blocks.py`) and are not the same concrete code-path fix, so they should not be merged as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 44, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11094-2", + "nodes": [ + "pull_request:11094", + "pull_request:11097" + ], + "soft_pairs": [ + "pull_request:11094|pull_request:11097" + ], + "prepared_review_unit_hash": "0a17c9d31c57a3401cbf3dbf940fec34b634b5711758a0d587eca976ce2a21de", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4206, + "estimated_input_tokens": 1052, + "estimated_eval_tokens": 2360 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4206, + "estimated_input_tokens": 1052, + "estimated_eval_tokens": 2360 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two merged PRs both touch group offloading internals, but they address different code-paths: PR 11094 improves moving params/buffers during onload/offload, while PR 11097 fixes execution-order tracking for stream-based offloading. Not a duplicate pair.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11097 is the more concrete bug fix: it targets the stream-related behavior regression with an explicit issue link and a focused change to execution-order tracking.", + "best_issue_reason": null, + "best_pr_reason": "PR 11097 is the best representative because it has a specific failure mode, explicit issue target, and a narrowly scoped fix; PR 11094 is broader feature/behavior cleanup in the same file.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11094", + "right": "pull_request:11097", + "accept": false, + "reason": "Same file, but different underlying problems and implementations: 11094 changes device transfer/offload handling for parameters and buffers, while 11097 changes execution-order callback logic for stream mode. They are not the same fix and would not be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 45, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-111-2", + "nodes": [ + "pull_request:111", + "pull_request:112" + ], + "soft_pairs": [ + "pull_request:111|pull_request:112" + ], + "prepared_review_unit_hash": "ae8e72c07ebad60c2d63438e796c5b291bc54c69c81b8d610f36c5740b09f32d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5426, + "estimated_input_tokens": 1357, + "estimated_eval_tokens": 2970 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5426, + "estimated_input_tokens": 1357, + "estimated_eval_tokens": 2970 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two closely related PRs from the same day implementing PIL image outputs for diffusers pipelines. PR #111 is the merged, slightly narrower implementation; PR #112 is an unmerged near-duplicate that extends the same change to one additional pipeline.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #111 is the merged, concrete implementation of the PIL-output change and covers the same core code path as the other PR; it is the best representative of the cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #111 is the strongest standalone representative: it is merged, directly implements the PIL conversion helper plus pipeline call-site updates, and matches the cluster's underlying change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:111", + "right": "pull_request:112", + "accept": true, + "reason": "Same underlying feature/change: making pipeline outputs PIL images by default. They share the same helper and most pipeline call-site edits; PR #112 looks like a near-duplicate/superset of #111 rather than a different fix." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The clustering judgment is grounded in the packet: both PRs implement the same PIL-output change in diffusers pipelines, share the new `numpy_to_pil` helper, and overlap heavily in modified files. PR #112 also appears to extend the same change to an additional pipeline (`ddim`), so treating the pair as mergeable variants of one bugfix/feature is reasonable. The summary is mostly conservative; no obvious overstatement." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 46, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11190-2", + "nodes": [ + "pull_request:11190", + "pull_request:11228" + ], + "soft_pairs": [ + "pull_request:11190|pull_request:11228" + ], + "prepared_review_unit_hash": "f3a71af22b5030daadaea3338e101ae9002395bc24a351408f30ba82836f6052", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3718, + "estimated_input_tokens": 930, + "estimated_eval_tokens": 2116 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3718, + "estimated_input_tokens": 930, + "estimated_eval_tokens": 2116 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are not duplicates: one is a test autocast adjustment, the other fixes VAE dtype restoration in the SDXL img2img pipeline. They share a broad dtype theme but not the same underlying bug or code path.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11228 is the better representative of the cluster because it fixes a real production code path in the SDXL img2img pipeline; PR 11190 is test-only and unrelated to that bug.", + "best_issue_reason": null, + "best_pr_reason": "PR 11228 is the most substantial and user-facing change here, so it is the best PR anchor for this cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11190", + "right": "pull_request:11228", + "accept": false, + "reason": "Different fixes: 11190 changes a test autocast context, while 11228 changes VAE dtype handling in the img2img pipeline. They do not address the same concrete bug and would not naturally merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 47, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1121-2", + "nodes": [ + "pull_request:1121", + "pull_request:1313" + ], + "soft_pairs": [ + "pull_request:1121|pull_request:1313" + ], + "prepared_review_unit_hash": "f73d91fdfa9888ccbe9a301edfdda474c7936c8e629ce7df501e9067b14453bb", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4189, + "estimated_input_tokens": 1048, + "estimated_eval_tokens": 2352 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4189, + "estimated_input_tokens": 1048, + "estimated_eval_tokens": 2352 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are about adding v-prediction support, but they modify different scheduler code paths and one also adds an example, so they are related feature work rather than the same mergeable change.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1121 is the more canonical core implementation: it directly updates the DDPM scheduler to support v-diffusion and introduces the shared helper needed for that path.", + "best_issue_reason": null, + "best_pr_reason": "PR #1313 is the best overall PR in this cluster because it is the more complete end-to-end v-prediction change, covering DDIM scheduler support plus an example demonstrating usage.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1121", + "right": "pull_request:1313", + "accept": false, + "reason": "Both concern v-prediction, but #1121 changes DDPM scheduler internals while #1313 changes DDIM scheduler behavior and adds an example. They do not look like the same concrete code-path fix and would not naturally be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 48, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11219-14", + "nodes": [ + "pull_request:11219", + "pull_request:11245", + "pull_request:11263", + "pull_request:11264", + "pull_request:11265", + "pull_request:11266", + "pull_request:11310", + "pull_request:11404", + "pull_request:11444", + "pull_request:11458", + "pull_request:11459", + "pull_request:12350", + "pull_request:12842", + "pull_request:13270" + ], + "soft_pairs": [ + "pull_request:11219|pull_request:12350", + "pull_request:11219|pull_request:11458", + "pull_request:11245|pull_request:11263", + "pull_request:11245|pull_request:11264", + "pull_request:11245|pull_request:11266", + "pull_request:11245|pull_request:11310", + "pull_request:11264|pull_request:11266", + "pull_request:11264|pull_request:11310", + "pull_request:11264|pull_request:11458", + "pull_request:11264|pull_request:11404", + "pull_request:11265|pull_request:11459", + "pull_request:11265|pull_request:12350", + "pull_request:11266|pull_request:11310", + "pull_request:11266|pull_request:11458", + "pull_request:11266|pull_request:11444", + "pull_request:11444|pull_request:11458", + "pull_request:11458|pull_request:12350", + "pull_request:11264|pull_request:12350", + "pull_request:11266|pull_request:12350", + "pull_request:12350|pull_request:12842", + "pull_request:12842|pull_request:13270" + ], + "prepared_review_unit_hash": "ed3c8dca85ed83621d5810bf11c0c4e39cb041513add2083d9a1a9f6f77960f5", + "component_budget": { + "node_count": 14, + "item_count": 14, + "soft_pair_count": 21, + "serialized_chars": 33522, + "estimated_input_tokens": 8381, + "estimated_eval_tokens": 17018 + }, + "budget": { + "node_count": 14, + "item_count": 14, + "soft_pair_count": 21, + "serialized_chars": 33522, + "estimated_input_tokens": 8381, + "estimated_eval_tokens": 17018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are mostly separate XPU/accelerator test-enablement or tolerance-adjustment PRs across different pipelines/models, plus one broader GGUF/XPU loader fix. They do not look like duplicates of one another; only superficial theme overlap is shared accelerator-test maintenance.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11404 is the strongest representative of the cluster because it includes an actual cross-device loader/quantization fix plus multiple GGUF/XPU test enables, making it the broadest and most substantive accelerator-related change here.", + "best_issue_reason": null, + "best_pr_reason": "PR #11404 is the best single PR to stand in for this cluster: it touches real production code and test coverage for XPU, whereas most others are isolated test expectation or device-compatibility tweaks in unrelated pipelines.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11219", + "right": "pull_request:12350", + "accept": false, + "reason": "Different tests and failures: bnb mixed-int8 autocast device handling vs. Marigold depth test naming/expectations. Same broad accelerator theme, but not the same bug or change." + }, + { + "left": "pull_request:11219", + "right": "pull_request:11458", + "accept": false, + "reason": "Unrelated test scopes: one fixes a quantization training test, the other adjusts Stable Diffusion Safe tests for XPU/A100. No shared concrete code path." + }, + { + "left": "pull_request:11245", + "right": "pull_request:11263", + "accept": false, + "reason": "Both are accelerator test fixes, but for different pipelines and failures (Flux Redux vs LoRA fine-tuning). Not mergeable as one change." + }, + { + "left": "pull_request:11245", + "right": "pull_request:11264", + "accept": false, + "reason": "Different pipeline failures and different assertions; one is Flux Redux inference, the other Stable Diffusion inpaint fp16. Only superficial similarity." + }, + { + "left": "pull_request:11245", + "right": "pull_request:11266", + "accept": false, + "reason": "Different concrete tests in different pipeline areas. Shared XPU-testing pattern is not enough to treat them as the same underlying issue." + }, + { + "left": "pull_request:11245", + "right": "pull_request:11310", + "accept": false, + "reason": "Flux Redux inference vs Stable Diffusion XL k-diffusion are unrelated code paths and models." + }, + { + "left": "pull_request:11264", + "right": "pull_request:11266", + "accept": false, + "reason": "Both are XPU expectation updates, but they fix different Stable Diffusion tests with different inputs and failure modes. Not the same bug." + }, + { + "left": "pull_request:11264", + "right": "pull_request:11310", + "accept": false, + "reason": "Different pipeline tests and different numerical expectations; no evidence of one shared defect." + }, + { + "left": "pull_request:11264", + "right": "pull_request:11458", + "accept": false, + "reason": "Stable Diffusion inpaint fp16 vs Stable Diffusion Safe test setup changes. Same subsystem, but not the same concrete failure." + }, + { + "left": "pull_request:11264", + "right": "pull_request:11404", + "accept": false, + "reason": "One is a Stable Diffusion inpaint test expectation change; the other is a GGUF/XPU loader and quantizer fix. Different code paths and artifacts." + }, + { + "left": "pull_request:11265", + "right": "pull_request:11459", + "accept": false, + "reason": "Different targets: I2VGenXL tolerance tweak vs semantic diffusion/panorama accelerator setup. Not the same underlying issue." + }, + { + "left": "pull_request:11265", + "right": "pull_request:12350", + "accept": false, + "reason": "Unrelated test cases in different model families; only the accelerator-test context overlaps." + }, + { + "left": "pull_request:11266", + "right": "pull_request:11310", + "accept": false, + "reason": "Both are XPU test expectation changes, but for different pipelines (IP-Adapter Stable Diffusion vs SDXL k-diffusion). Not duplicate changes." + }, + { + "left": "pull_request:11266", + "right": "pull_request:11458", + "accept": false, + "reason": "Different pipelines and failures; one adjusts IP-Adapter mask expectations, the other changes Safe Diffusion test setup. No shared code path." + }, + { + "left": "pull_request:11266", + "right": "pull_request:11444", + "accept": false, + "reason": "IP-Adapter test expectation update vs unidiffuser XPU enablement in shared test helpers. Related theme, but distinct fixes." + }, + { + "left": "pull_request:11266", + "right": "pull_request:12350", + "accept": false, + "reason": "Different model families and different failure modes; not the same underlying bug." + }, + { + "left": "pull_request:11444", + "right": "pull_request:11458", + "accept": false, + "reason": "One enables unidiffuser XPU cases and tweaks shared test helpers; the other updates Safe Diffusion tests. Different concrete changes." + }, + { + "left": "pull_request:11458", + "right": "pull_request:12350", + "accept": false, + "reason": "Safe Diffusion XPU/A100 test maintenance is unrelated to Marigold depth XPU support." + }, + { + "left": "pull_request:11264", + "right": "pull_request:12350", + "accept": false, + "reason": "Stable Diffusion inpaint fp16 expectation change vs Marigold depth accelerator rename/expectations. Not the same defect." + }, + { + "left": "pull_request:11266", + "right": "pull_request:12350", + "accept": false, + "reason": "IP-Adapter multiple-masks expectation update is unrelated to Marigold depth XPU fixes." + }, + { + "left": "pull_request:12350", + "right": "pull_request:12842", + "accept": false, + "reason": "Marigold depth XPU fix vs PixArt Sigma test expectation update; different pipelines and different failures." + }, + { + "left": "pull_request:12842", + "right": "pull_request:13270", + "accept": false, + "reason": "PixArt test expectation adjustment vs parallelism device/back-end selection change. Different scope and code path." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 49, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11405-3", + "nodes": [ + "pull_request:11405", + "pull_request:11406", + "pull_request:11759" + ], + "soft_pairs": [ + "pull_request:11405|pull_request:11406", + "pull_request:11405|pull_request:11759" + ], + "prepared_review_unit_hash": "28508053a86849bc8a8981a0e4801ad2366bebffdc4db2a6765842ed88ff29cd", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6755, + "estimated_input_tokens": 1689, + "estimated_eval_tokens": 3634 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6755, + "estimated_input_tokens": 1689, + "estimated_eval_tokens": 3634 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three separate merged PRs that all aim at XPU-related test stability/enablement, but they address different concrete test cases and fixes rather than the same underlying change.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11759 is the broadest and most representative of the cluster: it makes multiple CI test adjustments for XPU across several pipeline test files, so it best captures the overall theme of XPU test stabilization.", + "best_issue_reason": null, + "best_pr_reason": "PR #11759 is the best single representative because it spans several test failures and compatibility tweaks, making it more cluster-representative than the narrower one-off enablement PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11405", + "right": "pull_request:11406", + "accept": false, + "reason": "Both are XPU test-enablement PRs, but they target different code paths and test suites: one enables group_offload/quanto cases, the other enables layerwise_casting_memory cases and adds backend synchronization. They do not look like the same underlying bug or change." + }, + { + "left": "pull_request:11405", + "right": "pull_request:11759", + "accept": false, + "reason": "They overlap only at a high level on XPU test fixes and share one common test file, but they change different tests and different failure modes. This is too broad to treat as the same concrete fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 50, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11445-15", + "nodes": [ + "pull_request:11445", + "pull_request:11461", + "pull_request:11503", + "pull_request:11507", + "pull_request:11523", + "pull_request:11526", + "pull_request:11527", + "pull_request:11620", + "pull_request:11654", + "pull_request:11988", + "pull_request:12158", + "pull_request:12214", + "pull_request:12345", + "pull_request:12408", + "pull_request:12460" + ], + "soft_pairs": [ + "pull_request:11445|pull_request:11503", + "pull_request:11445|pull_request:11523", + "pull_request:11445|pull_request:11527", + "pull_request:11445|pull_request:11654", + "pull_request:11445|pull_request:12345", + "pull_request:11461|pull_request:12158", + "pull_request:11445|pull_request:11461", + "pull_request:11461|pull_request:11503", + "pull_request:11461|pull_request:11507", + "pull_request:11461|pull_request:11526", + "pull_request:11503|pull_request:11523", + "pull_request:11503|pull_request:11527", + "pull_request:11503|pull_request:11654", + "pull_request:11503|pull_request:12345", + "pull_request:11445|pull_request:11507", + "pull_request:11503|pull_request:11507", + "pull_request:11507|pull_request:11523", + "pull_request:11507|pull_request:11526", + "pull_request:11507|pull_request:11527", + "pull_request:11523|pull_request:11654", + "pull_request:11523|pull_request:11526", + "pull_request:11523|pull_request:12214", + "pull_request:11526|pull_request:12214", + "pull_request:11526|pull_request:11527", + "pull_request:11445|pull_request:11526", + "pull_request:11503|pull_request:11526", + "pull_request:11527|pull_request:11654", + "pull_request:11527|pull_request:11988", + "pull_request:11620|pull_request:12214", + "pull_request:11620|pull_request:12158", + "pull_request:11445|pull_request:11620", + "pull_request:11503|pull_request:11620", + "pull_request:11507|pull_request:11620", + "pull_request:11654|pull_request:12345", + "pull_request:11654|pull_request:11988", + "pull_request:11988|pull_request:12214", + "pull_request:11445|pull_request:11988", + "pull_request:11503|pull_request:11988", + "pull_request:11445|pull_request:12158", + "pull_request:11503|pull_request:12158", + "pull_request:11507|pull_request:12158", + "pull_request:11527|pull_request:12214", + "pull_request:11654|pull_request:12214", + "pull_request:11527|pull_request:12345", + "pull_request:11461|pull_request:12345", + "pull_request:11445|pull_request:12408", + "pull_request:11461|pull_request:12408", + "pull_request:11503|pull_request:12408", + "pull_request:11507|pull_request:12408", + "pull_request:11526|pull_request:12408", + "pull_request:11445|pull_request:12460", + "pull_request:11461|pull_request:12460", + "pull_request:11503|pull_request:12460", + "pull_request:11507|pull_request:12460", + "pull_request:11527|pull_request:12460" + ], + "prepared_review_unit_hash": "f9ac3942fe321462be4d7111c3944a8c7cb3ca7035b85a382d2cfba0daa172ef", + "component_budget": { + "node_count": 15, + "item_count": 15, + "soft_pair_count": 55, + "serialized_chars": 51479, + "estimated_input_tokens": 12870, + "estimated_eval_tokens": 25996 + }, + "budget": { + "node_count": 15, + "item_count": 15, + "soft_pair_count": 55, + "serialized_chars": 51479, + "estimated_input_tokens": 12870, + "estimated_eval_tokens": 25996 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are mostly a family of XPU-enablement and device-agnostic test updates across unrelated files. They share a theme, but they do not look like duplicates of one another, so I would not merge them into a single issue/PR cluster. PR 11654 is the best representative because it includes a core XPU-capability fix plus broad follow-up test updates.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11654 is the strongest cluster representative: it changes core XPU/CUDA capability logic and updates many tests, making it the broadest and most central XPU-enablement change in the set.", + "best_issue_reason": null, + "best_pr_reason": "PR 11654 is the best overall fit because it is the most substantive and central XPU-related change, with the widest impact across runtime logic and tests.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11445", + "right": "pull_request:11503", + "accept": false, + "reason": "Both are XPU test-enablement PRs, but they target different pipeline test files and do not fix the same concrete bug or change." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11523", + "accept": false, + "reason": "One updates Marigold tests; the other updates DiT tests. Same theme, different concrete changes and not mergeable as a duplicate." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11527", + "accept": false, + "reason": "Marigold test XPU enablement vs. a broader testing utility/load helper change; related area, but not the same underlying fix." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11654", + "accept": false, + "reason": "Different scope: a single test file XPU conversion versus a broad quantization/XPU compatibility PR touching core code and many tests." + }, + { + "left": "pull_request:11445", + "right": "pull_request:12345", + "accept": false, + "reason": "Marigold test-only XPU enablement is unrelated to the offloading/memory-device fix in 12345." + }, + { + "left": "pull_request:11461", + "right": "pull_request:12158", + "accept": false, + "reason": "Group offloading stream/device handling is a different problem from GGUF XPU test adjustments." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11461", + "accept": false, + "reason": "Different code paths: Marigold test harness changes versus group offloading runtime behavior." + }, + { + "left": "pull_request:11461", + "right": "pull_request:11503", + "accept": false, + "reason": "Offloading/runtime device handling is unrelated to the multiple pipeline test-only XPU enablement in 11503." + }, + { + "left": "pull_request:11461", + "right": "pull_request:11507", + "accept": false, + "reason": "Group offloading stream support and print_env XPU support are separate features, not the same change." + }, + { + "left": "pull_request:11461", + "right": "pull_request:11526", + "accept": false, + "reason": "Offloading runtime changes and multiple pipeline test migrations are different concrete fixes." + }, + { + "left": "pull_request:11503", + "right": "pull_request:11523", + "accept": false, + "reason": "Both are test-only XPU enablements, but for different pipelines and different files; not the same underlying bug." + }, + { + "left": "pull_request:11503", + "right": "pull_request:11527", + "accept": false, + "reason": "Pipeline test conversions versus load_pt/testing_utils changes are related but distinct changes." + }, + { + "left": "pull_request:11503", + "right": "pull_request:11654", + "accept": false, + "reason": "Different scope and code paths: pipeline test migrations versus quantization logic plus broad XPU updates." + }, + { + "left": "pull_request:11503", + "right": "pull_request:12345", + "accept": false, + "reason": "Multiple pipeline test enablement PR versus a runtime memory/offload fix; not duplicates." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11507", + "accept": false, + "reason": "Test suite XPU migration versus environment-printing support; different artifacts and fixes." + }, + { + "left": "pull_request:11503", + "right": "pull_request:11507", + "accept": false, + "reason": "Different concrete changes: pipeline integration tests versus utility script environment reporting." + }, + { + "left": "pull_request:11507", + "right": "pull_request:11523", + "accept": false, + "reason": "Print-env XPU support and DiT test enablement are unrelated code changes." + }, + { + "left": "pull_request:11507", + "right": "pull_request:11526", + "accept": false, + "reason": "Print-env utility updates are not the same as enabling several pipeline tests on XPU." + }, + { + "left": "pull_request:11507", + "right": "pull_request:11527", + "accept": false, + "reason": "Environment reporting changes and testing helper/load changes are different fixes." + }, + { + "left": "pull_request:11523", + "right": "pull_request:11654", + "accept": false, + "reason": "DiT test enablement is unrelated to the broader quantization/XPU support work in 11654." + }, + { + "left": "pull_request:11523", + "right": "pull_request:11526", + "accept": false, + "reason": "Different pipeline test groups; same broad theme, but not the same concrete bug or change." + }, + { + "left": "pull_request:11523", + "right": "pull_request:12214", + "accept": false, + "reason": "DiT test enablement and Bria XPU enablement are separate test migrations." + }, + { + "left": "pull_request:11526", + "right": "pull_request:12214", + "accept": false, + "reason": "Different pipeline test suites; these are separate XPU porting changes, not duplicates." + }, + { + "left": "pull_request:11526", + "right": "pull_request:11527", + "accept": false, + "reason": "Pipeline test migrations versus a testing_utils/load_pt change are adjacent but distinct." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11526", + "accept": false, + "reason": "Marigold-specific test changes and several other pipeline test migrations are not the same underlying fix." + }, + { + "left": "pull_request:11503", + "right": "pull_request:11526", + "accept": false, + "reason": "They both enable tests on XPU, but in different suites and with different edits." + }, + { + "left": "pull_request:11527", + "right": "pull_request:11654", + "accept": false, + "reason": "Both touch testing utilities, but one changes load_pt behavior while the other adds broader XPU/quantization support; 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They are thematically similar (speedups) but not the same underlying change or bug.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true canonical duplicate PR here; if one anchor is needed, PR 11665 is the best representative because it is merged and self-contained, but it does not overlap functionally with the other two.", + "best_issue_reason": null, + "best_pr_reason": "PR 11665 is the strongest standalone PR in the set because it is merged, has a clear concrete optimization in one method, and is better validated than the other two. It is not a duplicate target for the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11665", + "right": "pull_request:11667", + "accept": false, + "reason": "Different modules and different mechanisms: caching conv counts in Wan autoencoder cache clearing vs reshaping context for Kandinsky3 group norm. Same broad theme of speedup, but not the same bug/change." + }, + { + "left": "pull_request:11666", + "right": "pull_request:11667", + "accept": false, + "reason": "These optimize unrelated code paths in different pipelines/models. One changes BLIP image postprocess tensor handling; the other changes Kandinsky3 normalization broadcasting. 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The soft similarity is about topic overlap, not the same concrete change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11723 is the broader and more substantive LoRA-alpha change, covering training logic, tests, and multiple READMEs; it is the best representative for this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #11723 is the strongest overall representative because it changes the actual training path, not just documentation, and is the more central LoRA-alpha update.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11723", + "right": "pull_request:11780", + "accept": false, + "reason": "Different PRs and different scopes: #11723 updates flux LoRA training/code plus docs, while #11780 only adds Sana README guidance. Same topic, but not the same underlying change or mergeable into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 56, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11822-2", + "nodes": [ + "pull_request:11822", + "pull_request:11834" + ], + "soft_pairs": [ + "pull_request:11822|pull_request:11834" + ], + "prepared_review_unit_hash": "847ac0822113c8667c098cd296031212db0c0a5c4b620259547779bfc7eeca0c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4224, + "estimated_input_tokens": 1056, + "estimated_eval_tokens": 2368 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4224, + "estimated_input_tokens": 1056, + "estimated_eval_tokens": 2368 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two pull requests are not duplicates: one fixes LoRA unload state cleanup, while the other improves performance in LoRA scale expansion. They touch adjacent loader code, but address different problems and would not be merged as one PR.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11822 is the clearer canonical artifact because it is a direct bug fix with a concrete behavioral change; PR #11834 is an unrelated performance enhancement.", + "best_issue_reason": null, + "best_pr_reason": "PR #11822 is the better representative for the cluster since it contains the more specific, user-visible fix rather than a broad optimization.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11822", + "right": "pull_request:11834", + "accept": false, + "reason": "Different underlying changes: #11822 resets LoRA unload state in peft.py, while #11834 changes how LoRA scales are expanded for speed. Shared LoRA loader context is too broad to treat as the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 57, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11837-2", + "nodes": [ + "pull_request:11837", + "pull_request:11952" + ], + "soft_pairs": [ + "pull_request:11837|pull_request:11952" + ], + "prepared_review_unit_hash": "91073d682d5d94511af18f5aaf2804c799220325cf7d75961eea0d4f80093a77", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4198, + "estimated_input_tokens": 1050, + "estimated_eval_tokens": 2356 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4198, + "estimated_input_tokens": 1050, + "estimated_eval_tokens": 2356 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged documentation PRs both edit `docs/source/en/optimization/fp16.md`, but they add different content: one expands the regional compilation section, the other inserts a blog-post tip for diffusion performance. They are related contextually, not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11837 is the broader, more substantive docs update and best represents the cluster; it adds the regional compilation guidance and also touches a second optimization doc.", + "best_issue_reason": null, + "best_pr_reason": "PR #11837 is the best single representative because it contains the larger, more general documentation change, while #11952 is a smaller follow-up link insertion.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11837", + "right": "pull_request:11952", + "accept": false, + "reason": "Both PRs touch the same docs file, but they make different documentation edits serving different purposes. They do not appear to fix the same concrete problem or to be mergeable into one duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 58, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11860-4", + "nodes": [ + "pull_request:11860", + "pull_request:11862", + "pull_request:11868", + "pull_request:11893" + ], + "soft_pairs": [ + "pull_request:11860|pull_request:11862", + "pull_request:11860|pull_request:11868", + "pull_request:11860|pull_request:11893", + "pull_request:11862|pull_request:11868", + "pull_request:11862|pull_request:11893", + "pull_request:11868|pull_request:11893" + ], + "prepared_review_unit_hash": "82a70eac423d605b2d65c9dae91c93973442b3845ef7c9ccc6bd2c405f8030a7", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 12357, + "estimated_input_tokens": 3090, + "estimated_eval_tokens": 6436 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 12357, + "estimated_input_tokens": 3090, + "estimated_eval_tokens": 6436 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are thematically related to the modular-diffusers rollout, but they are distinct changes: one adds PAG, one adds ConfigMixin registration, one adds custom config serialization, and one merges the broader branch into main. They should not be collapsed as duplicates.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11893 is the broadest umbrella item and best represents the overall modular-diffusers integration work, but it is still not the same concrete change as the more focused feature PRs.", + "best_issue_reason": null, + "best_pr_reason": "11893 is the most comprehensive representative of the cluster, touching the integrated modular diffusers plumbing across many files; the others are narrower follow-up feature/fix PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11860", + "right": "pull_request:11862", + "accept": false, + "reason": "Both are modular guider work, but 11860 adds the PAG guider while 11862 adds ConfigMixin registration across guiders; different code-path changes." + }, + { + "left": "pull_request:11860", + "right": "pull_request:11868", + "accept": false, + "reason": "11860 introduces a new guider implementation; 11868 changes config serialization behavior. Related area, but not the same bug or feature." + }, + { + "left": "pull_request:11860", + "right": "pull_request:11893", + "accept": false, + "reason": "11893 is a broad merge/integration PR that includes many unrelated modular changes; it is not the same concrete change as the PAG guider PR." + }, + { + "left": "pull_request:11862", + "right": "pull_request:11868", + "accept": false, + "reason": "11862 concerns guider config wiring, while 11868 fixes serialization of custom config objects. Different underlying changes, despite shared files." + }, + { + "left": "pull_request:11862", + "right": "pull_request:11893", + "accept": false, + "reason": "11893 is an umbrella merge of the modular diffusers branch, not a duplicate of the specific ConfigMixin PR." + }, + { + "left": "pull_request:11868", + "right": "pull_request:11893", + "accept": false, + "reason": "11868 is a focused serialization fix; 11893 is a broad branch merge touching many subsystems, so they are not mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 59, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11887-2", + "nodes": [ + "pull_request:11887", + "pull_request:11926" + ], + "soft_pairs": [ + "pull_request:11887|pull_request:11926" + ], + "prepared_review_unit_hash": "8ce57cfb3def4ec5fed75d49f2355cc115fe86b6b519c2037aba9490d006d251", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3452, + "estimated_input_tokens": 863, + "estimated_eval_tokens": 1982 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3452, + "estimated_input_tokens": 863, + "estimated_eval_tokens": 1982 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related CI-speedup PRs, but they are not duplicates: one is a focused GPU workflow parallelism tweak, while the other is a broader WIP CI acceleration change touching CPU runners, pytest parallelism, and GPU workflow settings.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11887 is the cleaner canonical PR: it makes one specific GPU CI change (raising max-parallel) and is already merged, whereas #11926 is a broader open WIP with multiple unrelated CI adjustments.", + "best_issue_reason": null, + "best_pr_reason": "PR #11887 is the best representative of the cluster because it is the concrete, merged fix for a single CI bottleneck; #11926 is larger in scope and not the same change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11887", + "right": "pull_request:11926", + "accept": false, + "reason": "Reject: they overlap on CI performance but do not fix the same concrete problem. #11887 only increases GPU test matrix parallelism, while #11926 also changes CPU runners, pytest worker counts, and other workflow/test settings across multiple files." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 60, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-928-2", + "nodes": [ + "pull_request:1189", + "pull_request:928" + ], + "soft_pairs": [ + "pull_request:1189|pull_request:928" + ], + "prepared_review_unit_hash": "58dac52bdf63081234b00c047d701fe83d4fc8ba2863196df9d0bd2945ca0544", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4109, + "estimated_input_tokens": 1028, + "estimated_eval_tokens": 2312 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4109, + "estimated_input_tokens": 1028, + "estimated_eval_tokens": 2312 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two unrelated pull requests: one fixes DDIM scheduler noise-device handling, the other adjusts a pipeline test to use a legacy class and move components to device.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1189 is the core code-path fix: it changes DDIM noise generation/device handling in the scheduler itself. PR #928 is only a test update and not the underlying bug/change.", + "best_issue_reason": null, + "best_pr_reason": "PR #1189 is the strongest representative of the cluster because it addresses an actual runtime bug in production code rather than a test-only adjustment.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1189", + "right": "pull_request:928", + "accept": false, + "reason": "Different artifacts and different changes: #1189 fixes DDIM noise device/reproducibility in scheduler code, while #928 only modifies test setup and device placement. They do not look like the same underlying bug or mergeable code change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 61, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12023-2", + "nodes": [ + "pull_request:12023", + "pull_request:12314" + ], + "soft_pairs": [ + "pull_request:12023|pull_request:12314" + ], + "prepared_review_unit_hash": "0ccf95438c59143f1364e7c140c3f0a5e6237f269edb5ea9987cd18749bf9dc9", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3449, + "estimated_input_tokens": 863, + "estimated_eval_tokens": 1982 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3449, + "estimated_input_tokens": 863, + "estimated_eval_tokens": 1982 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch the Wan pipeline\u2019s `ftfy` handling, but they implement different fixes: one unconditionally imports `ftfy`, the other guards `ftfy.fix_text()` behind `is_ftfy_available()`. They are related but not the same change, so the soft match should be rejected. The merged PR is the stronger canonical choice.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12314 is merged and addresses the runtime `ftfy` name error directly in `basic_clean()` with a targeted availability check.", + "best_issue_reason": null, + "best_pr_reason": "PR #12314 is the best representative because it is the merged fix and it handles the concrete failure mode without introducing an unconditional import dependency.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12023", + "right": "pull_request:12314", + "accept": false, + "reason": "Same file and similar symptom, but the fixes differ materially: #12023 changes import behavior, while #12314 guards the call site. They are not the same concrete code-path change and would not naturally merge as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 62, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12032-3", + "nodes": [ + "pull_request:12032", + "pull_request:12179", + "pull_request:12194" + ], + "soft_pairs": [ + "pull_request:12032|pull_request:12194", + "pull_request:12179|pull_request:12194" + ], + "prepared_review_unit_hash": "b08e4dc0e84ba31853b7e745498f50c263648c5b51bb66fe90c0abc46cbe10f6", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8943, + "estimated_input_tokens": 2236, + "estimated_eval_tokens": 4728 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8943, + "estimated_input_tokens": 2236, + "estimated_eval_tokens": 4728 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs are sequential Chinese documentation translation batches for different sections of the docs, with only light overlap on the zh toctree. They are related thematically but do not look like the same concrete change, so they should not be deduplicated as PRs.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12194 is the broadest and latest zh translation batch, covering additional inference and optimization docs, so it is the best representative of this cluster theme.", + "best_issue_reason": null, + "best_pr_reason": "PR 12194 has the widest scope and looks like the most complete continuation of the translation work, making it the strongest representative PR here.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12032", + "right": "pull_request:12194", + "accept": false, + "reason": "Both are zh doc translation PRs, but they cover different batches of pages and different toctree additions; this is related work, not the same merged change." + }, + { + "left": "pull_request:12179", + "right": "pull_request:12194", + "accept": false, + "reason": "They overlap only on the zh toctree and both add different translated document sets; they are separate translation increments rather than one underlying PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 63, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12049-2", + "nodes": [ + "pull_request:12049", + "pull_request:12076" + ], + "soft_pairs": [ + "pull_request:12049|pull_request:12076" + ], + "prepared_review_unit_hash": "980e0d4fe897082aa582969364b271248365bf490c06eed3ab80e63d449b97c3", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4197, + "estimated_input_tokens": 1050, + "estimated_eval_tokens": 2356 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4197, + "estimated_input_tokens": 1050, + "estimated_eval_tokens": 2356 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are effectively the same PR: identical title, same target file, and the second one is a later merged revision of the same gguf quant-type support change. Prefer the merged PR as canonical.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12076 is the merged, later revision of the same change, so it is the best canonical PR record.", + "best_issue_reason": null, + "best_pr_reason": "PR #12076 is the best PR candidate because it is merged and appears to supersede the earlier unmerged duplicate.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12049", + "right": "pull_request:12076", + "accept": true, + "reason": "Same title, same file, and the diffs show the same gguf quant-type support work; #12076 looks like the finalized merged version of #12049." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 64, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12058-2", + "nodes": [ + "pull_request:12058", + "pull_request:12615" + ], + "soft_pairs": [ + "pull_request:12058|pull_request:12615" + ], + "prepared_review_unit_hash": "b064b7fd95b9bfe37179b5d4fbee83c102d128f2db743030a7273513f0ca4bb8", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3807, + "estimated_input_tokens": 952, + "estimated_eval_tokens": 2160 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3807, + "estimated_input_tokens": 952, + "estimated_eval_tokens": 2160 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs add cross-attention-related flags, but they target different transformer implementations (Wan vs LTX) and different code paths. They are similar in theme, not duplicates of the same change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: these are separate model-specific refactors/additions in different files and should not be collapsed into one duplicate.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:12058 is the better representative because it is merged and has a clear, self-contained change in Wan attention.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12058", + "right": "pull_request:12615", + "accept": false, + "reason": "Similar cross-attention plumbing, but different model implementations and filenames; they do not fix the same concrete code-path problem and would not plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 65, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1209-2", + "nodes": [ + "pull_request:1209", + "pull_request:1245" + ], + "soft_pairs": [ + "pull_request:1209|pull_request:1245" + ], + "prepared_review_unit_hash": "f79b48efa7a534c8d71033b15f07ea0104f55c580e8508da14fd4673d3819a2d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4552, + "estimated_input_tokens": 1138, + "estimated_eval_tokens": 2532 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4552, + "estimated_input_tokens": 1138, + "estimated_eval_tokens": 2532 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are about adding Weights & Biases support to the same example, with overlapping focus on `examples/unconditional_image_generation/train_unconditional.py`. They look like two halves of one feature rather than separate changes.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1245 is the more direct code-path change: it adds the `--logger` option and updates logging behavior in `train_unconditional.py`, which is the core functional piece of wandb support.", + "best_issue_reason": null, + "best_pr_reason": "PR #1245 is the best representative for the cluster because it contains the primary implementation change; PR #1209 is mostly supporting docs/dependency/example housekeeping around the same feature.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1209", + "right": "pull_request:1245", + "accept": true, + "reason": "Both PRs target wandb support for the same example and share the same training script; they are close enough to plausibly be combined into one broader PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 66, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12103-2", + "nodes": [ + "pull_request:12103", + "pull_request:12298" + ], + "soft_pairs": [ + "pull_request:12103|pull_request:12298" + ], + "prepared_review_unit_hash": "580ca9df7e53bef6b942a2b30149ad1a2b7c427623f204e8f4cd5724fcc4c8c8", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4326, + "estimated_input_tokens": 1082, + "estimated_eval_tokens": 2420 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4326, + "estimated_input_tokens": 1082, + "estimated_eval_tokens": 2420 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are both LoRA test-related but address different changes: one fixes device placement for non-denoiser components in group-offloading tests, while the other removes/reworks baseline non-LoRA output checks in separate caching-related LoRA tests. They are not the same underlying fix.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12298 is the better canonical PR for this cluster because it spans multiple LoRA test files plus the shared helper, making it the broader and more representative change. PR #12103 is a narrow, single-purpose test device-placement tweak.", + "best_issue_reason": null, + "best_pr_reason": "PR #12298 is the best representative PR here: it has wider scope across several LoRA test cases and the shared utility, whereas #12103 is a small targeted adjustment.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12103", + "right": "pull_request:12298", + "accept": false, + "reason": "Different test fixes in the same subsystem: #12103 changes device placement for offloaded non-denoiser components, while #12298 removes/adjusts baseline output assertions and caching behavior in unrelated LoRA tests. They would not plausibly merge as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 67, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12191-2", + "nodes": [ + "pull_request:12191", + "pull_request:12753" + ], + "soft_pairs": [ + "pull_request:12191|pull_request:12753" + ], + "prepared_review_unit_hash": "ff8aedf7832bd1168a9610c5f30be50ee8de5ca2b40e73e129db8475f52ca0a7", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4345, + "estimated_input_tokens": 1087, + "estimated_eval_tokens": 2430 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4345, + "estimated_input_tokens": 1087, + "estimated_eval_tokens": 2430 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch AutoEncoderKLWan tiling logic, but they appear to fix different bugs: one adjusts patchify behavior in encode/decode, the other corrects the spatial compression ratio used during tiled encode. I would not collapse them into one duplicate change.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12753 is the stronger canonical PR because it is merged and targets a specific tiled-encode compression-ratio bug with a focused fix. PR #12191 is broader, still open, and changes patchify/encode-decode behavior rather than the same concrete issue.", + "best_issue_reason": null, + "best_pr_reason": "PR #12753 is the best representative because it is merged, narrowly scoped, and clearly addresses a concrete code-path error in tiled encode.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12191", + "right": "pull_request:12753", + "accept": false, + "reason": "Shared file and subsystem are not enough: #12191 changes patchify gating in encode/decode, while #12753 fixes tiled-encode spatial compression math. They do not look like the same underlying bug or mergeable into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 68, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12201-2", + "nodes": [ + "pull_request:12201", + "pull_request:12212" + ], + "soft_pairs": [ + "pull_request:12201|pull_request:12212" + ], + "prepared_review_unit_hash": "04d20d9b00a053cd70591ba63fa4c1d4e3ef44f0320b1bfb3098a4a25278438e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4232, + "estimated_input_tokens": 1058, + "estimated_eval_tokens": 2372 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4232, + "estimated_input_tokens": 1058, + "estimated_eval_tokens": 2372 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate merged documentation PRs about different features: community pipelines vs. pipeline callbacks. They do not appear to be the same underlying change, so the soft duplicate link should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a canonical duplicate target because they cover unrelated docs changes. If one must be picked as the more representative standalone PR, 12212 is slightly broader because it updates both the callbacks guide and API overview.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12201", + "right": "pull_request:12212", + "accept": false, + "reason": "Different documentation topics and different edited files; they do not represent the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 69, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12206-3", + "nodes": [ + "pull_request:12206", + "pull_request:13075", + "pull_request:13093" + ], + "soft_pairs": [ + "pull_request:12206|pull_request:13093", + "pull_request:13075|pull_request:13093" + ], + "prepared_review_unit_hash": "0f97d75350cc6013451501419af70181953cb6badc987582745fa0bebbe13b59", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6429, + "estimated_input_tokens": 1608, + "estimated_eval_tokens": 3472 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6429, + "estimated_input_tokens": 1608, + "estimated_eval_tokens": 3472 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "PRs 13075 and 13093 address the same concrete compatibility bug in `gather_size_by_comm` on `_modeling_parallel.py` (accessing `torch.accelerator` / accelerator selection on older PyTorch). PR 12206 is unrelated, fixing `torch.library.custom_op` registration in `attention_dispatch.py`.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13075 is the clearest primary fix for the distributed gather compatibility issue: it targets the exact failing code path, has a direct issue link, and frames the bug at the user-facing level rather than only the API check.", + "best_issue_reason": null, + "best_pr_reason": "PR 13075 is the best representative of the cluster because it addresses the underlying `gather_size_by_comm` device-selection failure in a more general way and is the more complete compatibility-oriented patch among the related candidates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12206", + "right": "pull_request:13093", + "accept": false, + "reason": "Different bugs and code paths: 12206 guards `torch.library.custom_op` / `register_fake` in `attention_dispatch.py`, while 13093 changes accelerator selection in `gather_size_by_comm`." + }, + { + "left": "pull_request:13075", + "right": "pull_request:13093", + "accept": true, + "reason": "Same underlying distributed gather compatibility bug in the same function/file, both fixing PyTorch API availability for accelerator device selection; they could plausibly be merged into one PR." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: PR 12206 is a different file/code path and the two `_modeling_parallel.py` PRs are both conservative fixes for the same distributed gather compatibility issue. The mergeability judgment for 13075/13093 is plausible, and no claim appears overstated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 70, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12267-2", + "nodes": [ + "pull_request:12267", + "pull_request:12289" + ], + "soft_pairs": [ + "pull_request:12267|pull_request:12289" + ], + "prepared_review_unit_hash": "5640e475f4d483e3886fd6aef331490b164466c11e924e018c57cc525f560993", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6149, + "estimated_input_tokens": 1538, + "estimated_eval_tokens": 3332 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6149, + "estimated_input_tokens": 1538, + "estimated_eval_tokens": 3332 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two highly similar pull requests fix the same type-hint cleanup across the same transformer files; the later merged PR is the better canonical representative.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12289 is the merged, later version of the same type-hint fix and appears to supersede #12267 with a slightly broader file set.", + "best_issue_reason": null, + "best_pr_reason": "PR #12289 is the strongest representative because it is merged, has more discussion/review activity, and covers the same concrete code-path/type-hint changes as #12267.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12267", + "right": "pull_request:12289", + "accept": true, + "reason": "Near-identical PRs addressing the same type-hint errors in the same models; #12289 is effectively the merged superset." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 71, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12320-3", + "nodes": [ + "pull_request:12320", + "pull_request:12394", + "pull_request:12486" + ], + "soft_pairs": [ + "pull_request:12320|pull_request:12394", + "pull_request:12320|pull_request:12486", + "pull_request:12394|pull_request:12486" + ], + "prepared_review_unit_hash": "185c1f2872e606ebe5b4e54498af0584fbc4f892f0964276b75c02d94e5c9d0b", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6967, + "estimated_input_tokens": 1742, + "estimated_eval_tokens": 3740 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6967, + "estimated_input_tokens": 1742, + "estimated_eval_tokens": 3740 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three items are documentation pull requests for the same attention_backends page, but they are sequential edits rather than the same concrete change. PR 12320 is the foundational page creation and best represents the cluster; the other two are follow-up doc tweaks/additions.", + "confidence": 0.77, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12320 is the canonical PR because it introduces the attention_backends documentation page itself, which is the base artifact the later edits build on.", + "best_issue_reason": null, + "best_pr_reason": "PR 12320 is the best representative PR for this cluster since it is the initial, most substantive change and the later PRs are incremental edits to the same page.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12320", + "right": "pull_request:12394", + "accept": false, + "reason": "Same doc file, but 12394 is a later wording/formatting cleanup on the already-added page, not the same underlying change and not something that should be merged as one PR." + }, + { + "left": "pull_request:12320", + "right": "pull_request:12486", + "accept": false, + "reason": "12320 creates the docs page, while 12486 adds a new 'Checks' section describing behavior and environment flags; related file, but a distinct follow-up change rather than the same PR." + }, + { + "left": "pull_request:12394", + "right": "pull_request:12486", + "accept": false, + "reason": "Both edit the same documentation page, but they cover different topics and timing; this is not the same concrete change and would not naturally be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 72, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12322-2", + "nodes": [ + "pull_request:12322", + "pull_request:12820" + ], + "soft_pairs": [ + "pull_request:12322|pull_request:12820" + ], + "prepared_review_unit_hash": "1cff384175f2cabfac3d970de118c58b2286aa64e3835ca43fc823ee37f9776a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5871, + "estimated_input_tokens": 1468, + "estimated_eval_tokens": 3192 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5871, + "estimated_input_tokens": 1468, + "estimated_eval_tokens": 3192 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests are essentially the same refactor: introducing pipeline-specific mixins across the same community pipeline files. PR #12820 looks like the later, active iteration of the same change and likely supersedes #12322.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12820 is the later open PR with the same title, same affected files, and the same refactor scope; it is the best candidate to represent the cluster over the older closed draft #12322.", + "best_issue_reason": null, + "best_pr_reason": "PR #12820 is the best representative because it is current, open, and appears to be the continuation/supersession of the earlier draft while targeting the same concrete code change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12322", + "right": "pull_request:12820", + "accept": true, + "reason": "Same title, same affected pipeline files, and the same concrete refactor to pipeline-specific mixins; these look like the same underlying PR change, likely an updated iteration." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 73, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12336-2", + "nodes": [ + "pull_request:12336", + "pull_request:12342" + ], + "soft_pairs": [ + "pull_request:12336|pull_request:12342" + ], + "prepared_review_unit_hash": "803b026798dffeb06c00a77f65ed83919a8b1d525890040e8f382fac5e141ef9", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4269, + "estimated_input_tokens": 1068, + "estimated_eval_tokens": 2392 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4269, + "estimated_input_tokens": 1068, + "estimated_eval_tokens": 2392 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests appear to be the same tiling fix for `AutoencoderKLWan` with identical file scope and near-identical diffs, so they should be clustered together. The open PR is the better representative.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12342 is the newer, still-open copy of the same fix and is the best representative of the duplicated change set.", + "best_issue_reason": null, + "best_pr_reason": "PR #12342 is the strongest single PR to keep because it is current/open and matches the exact same code change as #12336.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12336", + "right": "pull_request:12342", + "accept": true, + "reason": "Same title, same target file, and the diff preview shows the same tiling-compression adjustment in `AutoencoderKLWan`; these look like duplicate PRs for the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 74, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12351-2", + "nodes": [ + "pull_request:12351", + "pull_request:12366" + ], + "soft_pairs": [ + "pull_request:12351|pull_request:12366" + ], + "prepared_review_unit_hash": "52a862763200c976dd61f2ea9eb9008a4ee8915af0af651da733069391c5e3f4", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4435, + "estimated_input_tokens": 1109, + "estimated_eval_tokens": 2474 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4435, + "estimated_input_tokens": 1109, + "estimated_eval_tokens": 2474 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests add the same CacheDiT documentation page and the same toctree entry, with only minor wording/content revisions between them. PR #12366 appears to be the later merged version of the same change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12366 is the merged, more complete version of the CacheDiT docs addition, so it is the best canonical representative.", + "best_issue_reason": null, + "best_pr_reason": "PR #12366 is the strongest cluster representative because it is the merged PR that implements the same documentation change as #12351.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12351", + "right": "pull_request:12366", + "accept": true, + "reason": "Same underlying docs change: both add CacheDiT to the docs navigation and create the CacheDiT page; the later PR looks like a revised/merged follow-up of the earlier one." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 75, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12352-3", + "nodes": [ + "pull_request:12352", + "pull_request:12379", + "pull_request:12621" + ], + "soft_pairs": [ + "pull_request:12352|pull_request:12621", + "pull_request:12379|pull_request:12621" + ], + "prepared_review_unit_hash": "64fc505d31fa89a216d8bce2d3e0ba6c101d24b5e97d280093839a0f403fa901", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7841, + "estimated_input_tokens": 1961, + "estimated_eval_tokens": 4178 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7841, + "estimated_input_tokens": 1961, + "estimated_eval_tokens": 4178 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are thematically related by reducing unittest usage in tests, but they address different code paths and should not be deduplicated together. The shared theme is too broad to merge them into one change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12621 is the best canonical PR for the cluster because it makes the foundational utility-layer change in `tests/testing_utils.py` and is the most central, self-contained refactor among the three.", + "best_issue_reason": null, + "best_pr_reason": "PR #12621 is the best overall PR candidate: it is merged, touches shared test infrastructure, and represents the clearest standalone change. The other PRs are separate follow-ons in different test files.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12352", + "right": "pull_request:12621", + "accept": false, + "reason": "Both relate to test cleanup, but #12352 adds a single-file tester mixin and updates many single-file tests, while #12621 only swaps `unittest` skip decorators in shared testing utilities. Different scope and code paths." + }, + { + "left": "pull_request:12379", + "right": "pull_request:12621", + "accept": false, + "reason": "#12379 refactors `ModelTesterMixin` and a modeling test file, whereas #12621 changes shared skip decorators in `testing_utils.py`. They are related by theme but not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 76, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1236-2", + "nodes": [ + "pull_request:1236", + "pull_request:1457" + ], + "soft_pairs": [ + "pull_request:1236|pull_request:1457" + ], + "prepared_review_unit_hash": "aaa9ff6a2dbc505385e0eb47e735dbde058ed504a0696a720ab3b30a2eb95110", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4530, + "estimated_input_tokens": 1133, + "estimated_eval_tokens": 2522 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4530, + "estimated_input_tokens": 1133, + "estimated_eval_tokens": 2522 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs target DDIM sampling changes in the same code path, centered on uneven timestep handling in the DDIM pipeline/scheduler. PR #1457 appears to be the more complete follow-up implementation, while #1236 is an earlier, narrower variant.", + "confidence": 0.77, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1457 is the more complete DDIM timestep-pair implementation: it touches the same pipeline and scheduler files as #1236, adds the tensor extraction helper, and includes tests, making it the better canonical PR for this change cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #1457 is the best representative because it subsumes the same DDIM uneven-jump work with a fuller scheduler/pipeline implementation and verification, whereas #1236 is an earlier partial adjustment.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1236", + "right": "pull_request:1457", + "accept": true, + "reason": "Both PRs modify the DDIM pipeline and scheduler to support nonstandard/paired timesteps in the same sampling path; #1457 looks like an expanded version of the same underlying change rather than a different feature." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 77, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12382-5", + "nodes": [ + "pull_request:12382", + "pull_request:12639", + "pull_request:13234", + "pull_request:13242", + "pull_request:13491" + ], + "soft_pairs": [ + "pull_request:12382|pull_request:13234", + "pull_request:12639|pull_request:13491", + "pull_request:13234|pull_request:13242", + "pull_request:13234|pull_request:13491" + ], + "prepared_review_unit_hash": "c4cc9d1667e774afaa595ff98028e00fa8c06945c0dac16fbb07921d94b3c948", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 10393, + "estimated_input_tokens": 2599, + "estimated_eval_tokens": 5454 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 10393, + "estimated_input_tokens": 2599, + "estimated_eval_tokens": 5454 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is mostly unrelated group-offloading test maintenance plus one concrete test fix; there is no clear duplicate issue, and the best PR is the one that addresses the actual disk offloading test failure.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13491 is the only clear functional fix in the cluster: it adjusts the disk group-offloading test path by passing block_modules, directly targeting the failing behavior.", + "best_issue_reason": null, + "best_pr_reason": "PR 13491 best represents the underlying bug fix. The others are either test-skip removal, pytest migration, or an unrelated PEFT adapter-offload issue.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12382", + "right": "pull_request:13234", + "accept": false, + "reason": "12382 removes a Qwen-specific test skip; 13234 is a pytest migration for group offloading tests. Same broad area, but not the same concrete bug or change." + }, + { + "left": "pull_request:12639", + "right": "pull_request:13491", + "accept": false, + "reason": "12639 fixes group offloading state after delete_adapters in PEFT; 13491 fixes disk offloading test setup. Different code paths and failure modes." + }, + { + "left": "pull_request:13234", + "right": "pull_request:13242", + "accept": false, + "reason": "Both are test-framework migrations to pytest, but they touch different test files and are not the same underlying change or bug." + }, + { + "left": "pull_request:13234", + "right": "pull_request:13491", + "accept": false, + "reason": "13234 is a broad test refactor; 13491 is a specific disk offloading test fix. They are not mergeable as one duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 78, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12384-2", + "nodes": [ + "pull_request:12384", + "pull_request:12389" + ], + "soft_pairs": [ + "pull_request:12384|pull_request:12389" + ], + "prepared_review_unit_hash": "f67325c08532017ecb078b125805975b2983d8c8653924c02cddcec0afd4b774", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5943, + "estimated_input_tokens": 1486, + "estimated_eval_tokens": 3228 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5943, + "estimated_input_tokens": 1486, + "estimated_eval_tokens": 3228 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The cluster centers on Hugging Face Hub v1 compatibility, but the two PRs are not duplicates: one is a temporary test/adaptation branch, the other is the actual compatibility fix merged into the codebase.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12389 is the substantive, merged change that updates dependency bounds and error handling to support both huggingface_hub v0.x and v1.x across library code and tests. PR #12384 is explicitly temporary/test-only and does not represent the final fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #12389 is the best representative of the cluster because it directly addresses the compatibility problem in production code and was merged. PR #12384 is a transient validation branch for testing against upstream changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12384", + "right": "pull_request:12389", + "accept": false, + "reason": "They are related to the same upstream hub version transition, but they are not the same underlying change: #12384 is a temporary test/workflow adaptation, while #12389 implements the real compatibility fix in code. They would not plausibly be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 79, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12478-3", + "nodes": [ + "pull_request:12478", + "pull_request:12582", + "pull_request:12664" + ], + "soft_pairs": [ + "pull_request:12478|pull_request:12664", + "pull_request:12582|pull_request:12664" + ], + "prepared_review_unit_hash": "f633aca9d3ad75d12f77fc1bc938101a4389ae7786505a78062cb9287e8a52f2", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8446, + "estimated_input_tokens": 2112, + "estimated_eval_tokens": 4480 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8446, + "estimated_input_tokens": 2112, + "estimated_eval_tokens": 4480 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs are related to the Kandinsky 5 family, but they are not the same change. PR #12478 is the initial Kandinsky 5 integration, #12582 is docs-only cleanup/renaming, and #12664 adds separate Image Lite / Video Pro support with additional pipelines, tests, and docs. They should not be clustered as duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12664 is the best representative of the cluster because it is the broadest and most substantive Kandinsky 5 change, covering new image/video pipeline variants, API exposure, docs, and tests.", + "best_issue_reason": null, + "best_pr_reason": "PR #12664 is the strongest standalone PR in this set: it introduces new functionality rather than only initial integration or documentation tweaks.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12478", + "right": "pull_request:12664", + "accept": false, + "reason": "Related only at the family/subsystem level. #12478 adds the original Kandinsky 5 integration, while #12664 adds later Image Lite/Video Pro variants and extra pipeline files; these are not the same concrete fix/change." + }, + { + "left": "pull_request:12582", + "right": "pull_request:12664", + "accept": false, + "reason": "#12582 is docs-only renaming/toctree cleanup, while #12664 introduces substantial code, tests, and docs for new Kandinsky 5 variants. They do not represent the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 80, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12545-2", + "nodes": [ + "pull_request:12545", + "pull_request:12930" + ], + "soft_pairs": [ + "pull_request:12545|pull_request:12930" + ], + "prepared_review_unit_hash": "6718d9c10aa00d499ca99c60bda81796ba8bed4cb31578c93d1fcd528bbfbdb5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5664, + "estimated_input_tokens": 1416, + "estimated_eval_tokens": 3088 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5664, + "estimated_input_tokens": 1416, + "estimated_eval_tokens": 3088 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related but distinct PRs: one adds the original Bria Fibo model/pipeline, the other adds a separate Bria Fibo edit pipeline. They share infrastructure files, but they implement different concrete features and should not be deduplicated.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12545 is the better canonical PR because it introduces the base Bria Fibo model and pipeline, which is the foundational implementation that the edit pipeline builds on.", + "best_issue_reason": null, + "best_pr_reason": "PR 12545 is the best overall representative of the cluster since it is the original feature addition and has broader scope than the later edit-specific follow-up.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12545", + "right": "pull_request:12930", + "accept": false, + "reason": "Reject: these are different changes. 12545 adds the core Bria Fibo model/pipeline, while 12930 adds a separate Bria Fibo edit pipeline with its own code path. Shared files and subsystem are not enough to treat them as the same PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 81, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12563-2", + "nodes": [ + "pull_request:12563", + "pull_request:12829" + ], + "soft_pairs": [ + "pull_request:12563|pull_request:12829" + ], + "prepared_review_unit_hash": "5f8ec820d1192d62b0b53bbad209983d92021658a1b65007a5a8da6e91c53e0e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4217, + "estimated_input_tokens": 1055, + "estimated_eval_tokens": 2366 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4217, + "estimated_input_tokens": 1055, + "estimated_eval_tokens": 2366 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs touch the same file but implement different native-attention features: one enables Ulysses in the native attention path, the other adds CP support for native flash attention. They are related subsystems, not the same change or bug fix.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: PR 12563 and PR 12829 modify different code paths and add different capabilities, so they are not duplicates of the same fix/change.", + "best_issue_reason": null, + "best_pr_reason": "No single best PR for duplication purposes; neither PR subsumes the other, and they should not be merged as one change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12563", + "right": "pull_request:12829", + "accept": false, + "reason": "Same file, but different concrete changes: 12563 is about Ulysses support in native attention, while 12829 is about CP support in native flash attention. Not the same underlying bug/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 82, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12617-3", + "nodes": [ + "pull_request:12617", + "pull_request:12671", + "pull_request:13481" + ], + "soft_pairs": [ + "pull_request:12617|pull_request:12671", + "pull_request:12617|pull_request:13481" + ], + "prepared_review_unit_hash": "6ec4b8344c72082d05e585b8b93931e1b21e24112a1d4a1ddd51ee5c3743e3c2", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6757, + "estimated_input_tokens": 1690, + "estimated_eval_tokens": 3636 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6757, + "estimated_input_tokens": 1690, + "estimated_eval_tokens": 3636 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two PRs are closely related CI workflow fixes for the same dependency-installation failure pattern; the BnB model fix is unrelated and should stay separate.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12671 is the broader, more representative CI fix: it applies the same transformers/huggingface_hub environment workaround across nightly/release test jobs, making it the best canonical PR for this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #12671 best captures the shared underlying CI dependency problem and has the clearest generalized scope across workflow files.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12617", + "right": "pull_request:12671", + "accept": true, + "reason": "Both PRs patch CI workflows to work around the same transformers/huggingface_hub install incompatibility by reinstalling prerelease transformers; they are plausibly mergeable into one combined CI-fix PR." + }, + { + "left": "pull_request:12617", + "right": "pull_request:13481", + "accept": false, + "reason": "These address different problems: #12617 is a CI workflow dependency/install workaround, while #13481 changes model attention/quantization code for BnB tensor shape handling. They do not share the same underlying bug or change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: PRs 12617 and 12671 both make the same CI dependency workaround in different workflow files, while 13481 is a separate BnB/model-quantization fix. The soft-edge verdicts are conservative and the accept/deny judgments match the diffs. No overstatement detected." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 83, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 2, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12622-22", + "nodes": [ + "pull_request:12622", + "pull_request:12623", + "pull_request:12651", + "pull_request:12654", + "pull_request:12676", + "pull_request:12678", + "pull_request:12710", + "pull_request:12726", + "pull_request:12766", + "pull_request:12767", + "pull_request:12796", + "pull_request:12798", + "pull_request:12871", + "pull_request:12928", + "pull_request:12931", + "pull_request:12936", + "pull_request:12992", + "pull_request:13010", + "pull_request:13020", + "pull_request:13023", + "pull_request:13024", + "pull_request:13027" + ], + "soft_pairs": [ + "pull_request:12623|pull_request:12654", + "pull_request:12623|pull_request:12676", + "pull_request:12623|pull_request:12678", + "pull_request:12623|pull_request:12710", + "pull_request:12623|pull_request:12726", + "pull_request:12623|pull_request:12766", + "pull_request:12623|pull_request:12767", + "pull_request:12623|pull_request:12796", + "pull_request:12623|pull_request:12798", + "pull_request:12623|pull_request:12871", + "pull_request:12623|pull_request:12928", + "pull_request:12623|pull_request:12931", + "pull_request:12623|pull_request:12936", + "pull_request:12623|pull_request:12992", + "pull_request:12623|pull_request:13010", + "pull_request:12623|pull_request:13020", + "pull_request:12623|pull_request:13023", + "pull_request:12623|pull_request:13024", + "pull_request:12623|pull_request:13027", + "pull_request:12654|pull_request:12676", + "pull_request:12654|pull_request:12678", + "pull_request:12654|pull_request:12710", + "pull_request:12654|pull_request:12726", + "pull_request:12654|pull_request:12766", + "pull_request:12654|pull_request:12767", + "pull_request:12654|pull_request:12796", + "pull_request:12654|pull_request:12798", + "pull_request:12654|pull_request:12871", + "pull_request:12654|pull_request:12928", + "pull_request:12654|pull_request:12931", + "pull_request:12654|pull_request:12936", + "pull_request:12654|pull_request:12992", + "pull_request:12654|pull_request:13010", + "pull_request:12654|pull_request:13020", + "pull_request:12654|pull_request:13023", + "pull_request:12654|pull_request:13024", + "pull_request:12654|pull_request:13027", + "pull_request:12676|pull_request:12678", + "pull_request:12676|pull_request:12710", + "pull_request:12676|pull_request:12726", + "pull_request:12676|pull_request:12766", + "pull_request:12676|pull_request:12767", + "pull_request:12676|pull_request:12796", + "pull_request:12676|pull_request:12798", + "pull_request:12676|pull_request:12871", + "pull_request:12676|pull_request:12928", + "pull_request:12676|pull_request:12931", + "pull_request:12676|pull_request:12936", + "pull_request:12676|pull_request:12992", + "pull_request:12676|pull_request:13010", + "pull_request:12676|pull_request:13020", + "pull_request:12676|pull_request:13023", + "pull_request:12676|pull_request:13024", + "pull_request:12676|pull_request:13027", + "pull_request:12622|pull_request:12651", + "pull_request:12651|pull_request:12654", + "pull_request:12651|pull_request:12676", + "pull_request:12651|pull_request:12678", + "pull_request:12651|pull_request:12710", + "pull_request:12651|pull_request:12726", + "pull_request:12651|pull_request:12766", + "pull_request:12651|pull_request:12767", + "pull_request:12651|pull_request:12796", + "pull_request:12651|pull_request:12798", + "pull_request:12651|pull_request:12871", + "pull_request:12651|pull_request:12928", + "pull_request:12651|pull_request:12931", + "pull_request:12651|pull_request:12936", + "pull_request:12651|pull_request:12992", + "pull_request:12651|pull_request:13010", + "pull_request:12651|pull_request:13020", + "pull_request:12651|pull_request:13023" + ], + "prepared_review_unit_hash": "47c4f514b6f62f0081d1c6cccac36d8e93cecf2365c1ee561bb5018f98d99672", + "component_budget": { + "node_count": 22, + "item_count": 22, + "soft_pair_count": 95, + "serialized_chars": 90548, + "estimated_input_tokens": 22637, + "estimated_eval_tokens": 45530 + }, + "budget": { + "node_count": 22, + "item_count": 22, + "soft_pair_count": 72, + "serialized_chars": 74155, + "estimated_input_tokens": 18539, + "estimated_eval_tokens": 37334 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a chain of very similar scheduler cleanups (docstrings/type hints) across different files. They are related in style and subsystem, but they are not duplicate bug fixes or the same concrete code change, so the soft edges should stay split.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12651 is the most central representative of the cleanup wave: it is an early, broad scheduler docstring/type-hint sweep and overlaps with many later follow-on PRs.", + "best_issue_reason": null, + "best_pr_reason": "PR 12651 best captures the cluster\u2019s main theme while still being broad enough to represent the repeated scheduler cleanup pattern across multiple files.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12623", + "right": "pull_request:12654", + "accept": false, + "reason": "Same broad style of cleanup, but different scheduler file sets and separate edits; not the same concrete change." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12676", + "accept": false, + "reason": "Different target file and separate docstring/type-hint cleanup; 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the edited files differ, so this is not the same change." + }, + { + "left": "pull_request:12623", + "right": "pull_request:13010", + "accept": false, + "reason": "Different file-scoped cleanup work; not the same concrete bug or code change." + }, + { + "left": "pull_request:12623", + "right": "pull_request:13020", + "accept": false, + "reason": "Separate scheduler cleanup in another file; same class of change, not duplicate." + }, + { + "left": "pull_request:12623", + "right": "pull_request:13023", + "accept": false, + "reason": "Different scheduler module and independent docs/type-hint update; do not merge as duplicates." + }, + { + "left": "pull_request:12623", + "right": "pull_request:13024", + "accept": false, + "reason": "Same cleanup pattern but a different file and change set; not a duplicate." + }, + { + "left": "pull_request:12623", + "right": "pull_request:13027", + "accept": false, + "reason": "Separate scheduler cleanup across different files; not the same underlying change." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12676", + "accept": false, + "reason": "Both are doc/type cleanups, but they target different scheduler files and independent changes." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12678", + "accept": false, + "reason": "Different scheduler helper paths and different file sets; 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not a duplicate." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12871", + "accept": false, + "reason": "Distinct scheduler cleanup work; same subsystem, not same change." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12928", + "accept": false, + "reason": "One is a broad scheduler cleanup, the other a different scheduler file cleanup; not duplicate." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12931", + "accept": false, + "reason": "Different file and independent doc/type hint edits; not the same code change." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12936", + "accept": false, + "reason": "Shared theme only; no shared concrete bug or exact change set." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12992", + "accept": false, + "reason": "These are overlapping cleanup sweeps, but still separate file-specific PRs." + }, + { + "left": "pull_request:12654", + "right": "pull_request:13010", + "accept": false, + "reason": "Different scheduler file and independent cleanup; not a duplicate." + }, + { + "left": "pull_request:12654", + "right": "pull_request:13020", + "accept": false, + "reason": "Separate docstring/type-hint update in another scheduler module." + }, + { + "left": "pull_request:12654", + "right": "pull_request:13023", + "accept": false, + "reason": "Different scheduler file and different change set; same kind of cleanup only." + }, + { + "left": "pull_request:12654", + "right": "pull_request:13024", + "accept": false, + "reason": "File-specific cleanup in a different module; not the same underlying change." + }, + { + "left": "pull_request:12654", + "right": "pull_request:13027", + "accept": false, + "reason": "Distinct scheduler cleanup work, not one mergeable concrete fix." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12678", + "accept": false, + "reason": "Both touch schedulers, but they are separate file-scoped doc/type updates with no shared bug." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12710", + "accept": false, + "reason": "Different scheduler modules and distinct cleanup PRs; not duplicates." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12726", + "accept": false, + "reason": "Separate docstring/type-hint cleanup for a different scheduler file." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12766", + "accept": false, + "reason": "Different scheduler and change set; same broad theme only." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12767", + "accept": false, + "reason": "Independent cleanup in another scheduler module, not the same change." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12796", + "accept": false, + "reason": "Different file and separate doc/type hint edits; not a duplicate." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12798", + "accept": false, + "reason": "File-specific scheduler cleanup, not the same underlying fix." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12871", + "accept": false, + "reason": "Same subsystem, but different concrete file changes and no shared code-path issue." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12928", + "accept": false, + "reason": "Different scheduler file and unrelated cleanup scope." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12931", + "accept": false, + "reason": "Separate doc/type hint cleanup in another module; not a duplicate." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12936", + "accept": false, + "reason": "Same category of change, but not the same scheduler or code path." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12992", + "accept": false, + "reason": "Broadly similar cleanup, but the PRs target different files and should not be merged." + }, + { + "left": "pull_request:12676", + "right": "pull_request:13010", + "accept": false, + "reason": "Different scheduler module and independent refactor work." + }, + { + "left": "pull_request:12676", + "right": "pull_request:13020", + "accept": false, + "reason": "Distinct file-scoped cleanup; not the same concrete change." + }, + { + "left": "pull_request:12676", + "right": "pull_request:13023", + "accept": false, + "reason": "Different scheduler file and separate doc/type updates; not duplicates." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12654", + "accept": false, + "reason": "Same node should not be treated as a soft-edge duplicate in this triage set." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 83, + "component_count": 255, + "review_unit_index": 2, + "review_unit_count": 2, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12622-22", + "nodes": [ + "pull_request:12622", + "pull_request:12623", + "pull_request:12651", + "pull_request:12654", + "pull_request:12676", + "pull_request:12678", + "pull_request:12710", + "pull_request:12726", + "pull_request:12766", + "pull_request:12767", + "pull_request:12796", + "pull_request:12798", + "pull_request:12871", + "pull_request:12928", + "pull_request:12931", + "pull_request:12936", + "pull_request:12992", + "pull_request:13010", + "pull_request:13020", + "pull_request:13023", + "pull_request:13024", + "pull_request:13027" + ], + "soft_pairs": [ + "pull_request:12651|pull_request:13024", + "pull_request:12651|pull_request:13027", + "pull_request:12622|pull_request:12654", + "pull_request:12622|pull_request:12676", + "pull_request:12622|pull_request:12678", + "pull_request:12622|pull_request:12710", + "pull_request:12622|pull_request:12726", + "pull_request:12622|pull_request:12766", + "pull_request:12622|pull_request:12767", + "pull_request:12622|pull_request:12796", + "pull_request:12622|pull_request:12798", + "pull_request:12622|pull_request:12871", + "pull_request:12622|pull_request:12928", + "pull_request:12622|pull_request:12931", + "pull_request:12622|pull_request:12936", + "pull_request:12622|pull_request:12992", + "pull_request:12622|pull_request:13010", + "pull_request:12622|pull_request:13020", + "pull_request:12622|pull_request:13023", + "pull_request:12622|pull_request:13024", + "pull_request:12622|pull_request:13027", + "pull_request:12623|pull_request:12651", + "pull_request:12622|pull_request:12623" + ], + "prepared_review_unit_hash": "ff2c233d2e1f36047c1a00ae82b2a56187708bf9612723e3506beaa3c0524aa0", + "component_budget": { + "node_count": 22, + "item_count": 22, + "soft_pair_count": 95, + "serialized_chars": 90548, + "estimated_input_tokens": 22637, + "estimated_eval_tokens": 45530 + }, + "budget": { + "node_count": 22, + "item_count": 22, + "soft_pair_count": 23, + "serialized_chars": 55930, + "estimated_input_tokens": 13983, + "estimated_eval_tokens": 28222 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These PRs are mostly a series of similar docstring/type-hint cleanups across different scheduler modules. They share vocabulary and sometimes copied helper functions, but they are not the same concrete change or bug fix, so they should not be merged as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a true duplicate canonical fit; the cluster contains separate scheduler-specific cleanup PRs, not one underlying bug/change.", + "best_issue_reason": null, + "best_pr_reason": "PR 12622 is the broadest representative of the pattern, touching many scheduler files and serving as the closest cluster anchor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12651", + "right": "pull_request:13024", + "accept": false, + "reason": "Both are scheduler maintenance PRs, but they target different implementations and changes; not the same concrete fix." + }, + { + "left": "pull_request:12651", + "right": "pull_request:13027", + "accept": false, + "reason": "Overlap in touched files is not enough here; the edits are separate doc/type-hint updates, not one mergeable change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12654", + "accept": false, + "reason": "Different scheduler modules and different codepaths; these are parallel cleanup PRs, not duplicates." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12676", + "accept": false, + "reason": "PNDM docstring cleanup is separate from DDIM-related scheduler cleanup." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12678", + "accept": false, + "reason": "Different scheduler/helper update, not the same underlying bug or code change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12710", + "accept": false, + "reason": "Broadly similar style work, but on different scheduler families and different functions." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12726", + "accept": false, + "reason": "Heun scheduler docs/type hints are unrelated to the DDIM cleanup." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12766", + "accept": false, + "reason": "Euler ancestral cleanup is a separate scheduler-specific refactor." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12767", + "accept": false, + "reason": "UniPC cleanup is distinct from the DDIM doc/type-hint changes." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12796", + "accept": false, + "reason": "DEIS scheduler doc updates are not the same change as the DDIM PR." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12798", + "accept": false, + "reason": "DPMSolver singlestep cleanup is a separate scheduler module update." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12871", + "accept": false, + "reason": "EDM/Euler-related doc/type-hint work is a different concrete change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12928", + "accept": false, + "reason": "Consistency decoder docstring expansion is a distinct scheduler-specific PR." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12931", + "accept": false, + "reason": "Consistency models scheduler cleanup is separate and not the same underlying fix." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12936", + "accept": false, + "reason": "Cosine DPM-Solver scheduler changes are distinct from the DDIM cleanup." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12992", + "accept": false, + "reason": "Despite similar filenames, this is another broad scheduler doc/type-hint pass, not one identical change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:13010", + "accept": false, + "reason": "Flax DDIM deprecation warning and related edits are a different change set." + }, + { + "left": "pull_request:12622", + "right": "pull_request:13020", + "accept": false, + "reason": "DDIM inverse typing cleanup is separate from the DDIM scheduler PR." + }, + { + "left": "pull_request:12622", + "right": "pull_request:13023", + "accept": false, + "reason": "DDIM parallel helper typing changes are not the same concrete PR as the DDIM docstring cleanup." + }, + { + "left": "pull_request:12622", + "right": "pull_request:13024", + "accept": false, + "reason": "DDPM Flax updates are a different module and change theme." + }, + { + "left": "pull_request:12622", + "right": "pull_request:13027", + "accept": false, + "reason": "Both are DDPM-family cleanup PRs, but they are separate edits to different scheduler files and should not be merged as duplicates." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12651", + "accept": false, + "reason": "AMUSED scheduler doc/type-hint cleanup is unrelated to the DDPM/consistency-decoder family changes." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12623", + "accept": false, + "reason": "DDIM and AMUSED scheduler cleanups are different concrete changes in different files." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 84, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12703-4", + "nodes": [ + "pull_request:12703", + "pull_request:12715", + "pull_request:12828", + "pull_request:13317" + ], + "soft_pairs": [ + "pull_request:12703|pull_request:12715", + "pull_request:12703|pull_request:12828", + "pull_request:12703|pull_request:13317", + "pull_request:12715|pull_request:12828" + ], + "prepared_review_unit_hash": "6292cf709b4e49b8a9fa5a6af77b1e15c7da3ed29b22d5753976c4d97665e1b5", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 12182, + "estimated_input_tokens": 3046, + "estimated_eval_tokens": 6348 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 12182, + "estimated_input_tokens": 3046, + "estimated_eval_tokens": 6348 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is mostly a set of separate model-support PRs for different image model families. PR #12703 is the foundational Z-Image support change; #12715 is a follow-up Z-Image fix/test update; #12828 adds LongCat-Image; and #13317 adds NucleusMoE-Image. They are related by subsystem, but not duplicates of the same underlying change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "#12703 is the best canonical PR because it is the earliest and broadest Z-Image implementation change, while the others are either a follow-up fix for Z-Image or unrelated model additions.", + "best_issue_reason": null, + "best_pr_reason": "#12703 is the strongest representative of the cluster\u2019s only clearly shared subject (Z-Image). The others are distinct model integrations or a targeted follow-up fix, so #12703 is the most central PR to anchor the group.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12703", + "right": "pull_request:12715", + "accept": false, + "reason": "Related Z-Image work, but not the same change: #12703 adds the feature, while #12715 fixes dtype/attention-mask behavior and tests. They could not cleanly be treated as one duplicate PR." + }, + { + "left": "pull_request:12703", + "right": "pull_request:12828", + "accept": false, + "reason": "Different underlying feature sets: Z-Image vs LongCat-Image. Shared scaffolding files do not make them the same code-path fix/change." + }, + { + "left": "pull_request:12703", + "right": "pull_request:13317", + "accept": false, + "reason": "Different model family entirely (Z-Image vs NucleusMoE-Image). Same broad area, but not the same concrete change." + }, + { + "left": "pull_request:12715", + "right": "pull_request:12828", + "accept": false, + "reason": "A Z-Image bugfix/test update is unrelated to adding LongCat-Image support; no shared underlying bug or mergeable single fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 85, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12724-10", + "nodes": [ + "pull_request:12724", + "pull_request:13031", + "pull_request:13044", + "pull_request:13083", + "pull_request:13085", + "pull_request:13122", + "pull_request:13127", + "pull_request:13130", + "pull_request:13160", + "pull_request:13198" + ], + "soft_pairs": [ + "pull_request:12724|pull_request:13031", + "pull_request:12724|pull_request:13044", + "pull_request:12724|pull_request:13083", + "pull_request:12724|pull_request:13085", + "pull_request:12724|pull_request:13122", + "pull_request:13044|pull_request:13083", + "pull_request:13044|pull_request:13085", + "pull_request:13044|pull_request:13122", + "pull_request:13044|pull_request:13127", + "pull_request:13044|pull_request:13130", + "pull_request:13083|pull_request:13085", + "pull_request:13083|pull_request:13122", + "pull_request:13083|pull_request:13127", + "pull_request:13083|pull_request:13130", + "pull_request:13085|pull_request:13122", + "pull_request:13085|pull_request:13127", + "pull_request:13085|pull_request:13130", + "pull_request:13122|pull_request:13127", + "pull_request:13122|pull_request:13130", + "pull_request:13127|pull_request:13130", + "pull_request:13044|pull_request:13160", + "pull_request:13083|pull_request:13160", + "pull_request:13085|pull_request:13160", + "pull_request:13122|pull_request:13160", + "pull_request:13127|pull_request:13160", + "pull_request:13044|pull_request:13198", + "pull_request:13083|pull_request:13198", + "pull_request:13085|pull_request:13198", + "pull_request:13122|pull_request:13198", + "pull_request:13127|pull_request:13198" + ], + "prepared_review_unit_hash": "e4445c6b6a408665a05bdb1bbca8ae0198fdfbe31bd2a1ecb43877bae5d1db89", + "component_budget": { + "node_count": 10, + "item_count": 10, + "soft_pair_count": 30, + "serialized_chars": 33362, + "estimated_input_tokens": 8341, + "estimated_eval_tokens": 16938 + }, + "budget": { + "node_count": 10, + "item_count": 10, + "soft_pair_count": 30, + "serialized_chars": 33362, + "estimated_input_tokens": 8341, + "estimated_eval_tokens": 16938 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are broadly similar scheduler doc/typing cleanups, but they target different files and different changes. The cluster does not look like a single duplicate underlying bug or change set.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "PR 13083 is the broadest scheduler-doc cleanup in the set, so it is the closest thing to a representative PR, but it is still distinct from the others and should not be treated as their duplicate.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12724", + "right": "pull_request:13031", + "accept": false, + "reason": "Imagen Video link update vs Flax deprecation warning; different files and unrelated changes." + }, + { + "left": "pull_request:12724", + "right": "pull_request:13044", + "accept": false, + "reason": "Docs link refresh vs a CogVideoX scheduler docstring tweak; same broad area, different change." + }, + { + "left": "pull_request:12724", + "right": "pull_request:13083", + "accept": false, + "reason": "Single docs link update vs a multi-file DPM solver doc cleanup; not the same underlying change." + }, + { + "left": "pull_request:12724", + "right": "pull_request:13085", + "accept": false, + "reason": "Docs link update vs dpmsolver_sde type/code changes; different code path and purpose." + }, + { + "left": "pull_request:12724", + "right": "pull_request:13122", + "accept": false, + "reason": "Docs link update vs EDM DPM solver docstring edits; unrelated content." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13083", + "accept": false, + "reason": "CogVideoX docstring fix vs broader DPM solver inverse/variant doc cleanup; different scheduler families and scope." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13085", + "accept": false, + "reason": "Docs-only CogVideoX change vs dpmsolver_sde code/type changes; not the same fix." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13122", + "accept": false, + "reason": "Different schedulers and different doc text; no shared concrete bug." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13127", + "accept": false, + "reason": "CogVideoX docs vs FlowMatch Euler docs/type updates; unrelated scheduler implementations." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13130", + "accept": false, + "reason": "CogVideoX docs vs FlowMatch Heun docs/type change; different files and change type." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13160", + "accept": false, + "reason": "CogVideoX docs vs FlowMatch LCM docs; same broad subsystem only." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13198", + "accept": false, + "reason": "CogVideoX docs vs IPNDM doc/type cleanup; different scheduler and change." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13085", + "accept": false, + "reason": "Docs cleanup across DPM solver files vs dpmsolver_sde code/type changes; not mergeable as one concrete fix." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13122", + "accept": false, + "reason": "Both are scheduler docs, but they touch different scheduler implementations and different docstrings." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13127", + "accept": false, + "reason": "DPM solver doc cleanup vs FlowMatch Euler docs/type changes; different code paths." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13130", + "accept": false, + "reason": "DPM solver docs vs FlowMatch Heun docs; similar theme only, not the same change." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13160", + "accept": false, + "reason": "Different scheduler families and different doc updates; not duplicates." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13198", + "accept": false, + "reason": "DPM solver doc cleanup vs IPNDM docs/type cleanup; distinct PRs." + }, + { + "left": "pull_request:13085", + "right": "pull_request:13122", + "accept": false, + "reason": "dpmsolver_sde code/type change vs EDM DPM solver doc cleanup; different underlying change." + }, + { + "left": "pull_request:13085", + "right": "pull_request:13127", + "accept": false, + "reason": "Scheduler code/type fix vs FlowMatch Euler docs; unrelated." + }, + { + "left": "pull_request:13085", + "right": "pull_request:13130", + "accept": false, + "reason": "Scheduler code/type fix vs FlowMatch Heun docs; unrelated." + }, + { + "left": "pull_request:13085", + "right": "pull_request:13160", + "accept": false, + "reason": "Scheduler code/type fix vs FlowMatch LCM docs; unrelated." + }, + { + "left": "pull_request:13085", + "right": "pull_request:13198", + "accept": false, + "reason": "Scheduler code/type fix vs IPNDM doc cleanup; different change." + }, + { + "left": "pull_request:13122", + "right": "pull_request:13127", + "accept": false, + "reason": "EDM DPM solver docs vs FlowMatch Euler docs/type updates; different scheduler implementations." + }, + { + "left": "pull_request:13122", + "right": "pull_request:13130", + "accept": false, + "reason": "EDM DPM solver docs vs FlowMatch Heun docs; not the same underlying bug." + }, + { + "left": "pull_request:13122", + "right": "pull_request:13160", + "accept": false, + "reason": "EDM DPM solver docs vs FlowMatch LCM docs; unrelated." + }, + { + "left": "pull_request:13122", + "right": "pull_request:13198", + "accept": false, + "reason": "EDM DPM solver docs vs IPNDM docs/type cleanup; distinct PRs." + }, + { + "left": "pull_request:13127", + "right": "pull_request:13130", + "accept": false, + "reason": "FlowMatch Euler vs FlowMatch Heun; similar family, but different scheduler implementations and edits." + }, + { + "left": "pull_request:13127", + "right": "pull_request:13160", + "accept": false, + "reason": "FlowMatch Euler vs FlowMatch LCM; different code paths and doc changes." + }, + { + "left": "pull_request:13127", + "right": "pull_request:13198", + "accept": false, + "reason": "FlowMatch Euler docs/type update vs IPNDM doc cleanup; not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 86, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12725-2", + "nodes": [ + "pull_request:12725", + "pull_request:12808" + ], + "soft_pairs": [ + "pull_request:12725|pull_request:12808" + ], + "prepared_review_unit_hash": "4eda8d772220ba783cdf39a77a87999fd74c136ebc0d293ecae918ccafb034c6", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4853, + "estimated_input_tokens": 1214, + "estimated_eval_tokens": 2684 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4853, + "estimated_input_tokens": 1214, + "estimated_eval_tokens": 2684 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are both z-image related, but they address different changes: one is a RoPE refactor in the transformer attention code, and the other adds the z-image modular pipeline integration. They should not be treated as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12808 is the better representative because it is the merged, broader z-image pipeline implementation; PR #12725 is a separate, earlier transformer refactor and does not fix the same code path.", + "best_issue_reason": null, + "best_pr_reason": "PR #12808 is the strongest single representative of the cluster because it completed the z-image modular pipeline work and was merged, while #12725 is a narrower, unrelated refactor in the model internals.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12725", + "right": "pull_request:12808", + "accept": false, + "reason": "Different underlying changes: #12725 refactors RoPE application in transformer_z_image.py, while #12808 adds z-image modular pipeline files and package exports. They touch related areas but are not the same fix/change and would not plausibly merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 87, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12743-2", + "nodes": [ + "pull_request:12743", + "pull_request:12770" + ], + "soft_pairs": [ + "pull_request:12743|pull_request:12770" + ], + "prepared_review_unit_hash": "d327fcf1439e5ce8ada4e0924da24c4fe3ec4c6da9996c01fbc532d289eb6ea1", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4345, + "estimated_input_tokens": 1087, + "estimated_eval_tokens": 2430 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4345, + "estimated_input_tokens": 1087, + "estimated_eval_tokens": 2430 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs touch the same file and broadly similar padding logic, but they fix different concrete empty-dimension issues in different paths: one for image padding, one for caption pad masks/TPU compatibility.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12770 is the better representative because it is merged and addresses a clearly described TPU/torch_xla empty-dimension repeat failure in a specific code path.", + "best_issue_reason": null, + "best_pr_reason": "PR #12770 is the strongest standalone PR: it is merged, has a focused bug description, and the diff directly matches the reported compatibility fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12743", + "right": "pull_request:12770", + "accept": false, + "reason": "Both edit transformer_z_image.py, but they patch different logic and different failure modes: #12743 guards image padding tensor creation/repeat, while #12770 changes caption pad-mask handling for TPU/empty-dim compatibility. They do not look like the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 88, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12762-2", + "nodes": [ + "pull_request:12762", + "pull_request:13103" + ], + "soft_pairs": [ + "pull_request:12762|pull_request:13103" + ], + "prepared_review_unit_hash": "4e485bc26adeeb6e9a48b02ccfc6f7e23f2e4488c4695a8b6995e0171bc5a8a1", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3202, + "estimated_input_tokens": 801, + "estimated_eval_tokens": 1858 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3202, + "estimated_input_tokens": 801, + "estimated_eval_tokens": 1858 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests address the same from_pipe() dtype regression: avoiding an implicit float32 cast and preserving the source pipeline\u2019s dtype by default. They differ mainly in implementation detail, not in the underlying change.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13103 is the cleaner fix: it explicitly defaults to pipeline.dtype, which directly matches the bug report and makes the intended behavior obvious.", + "best_issue_reason": null, + "best_pr_reason": "PR 13103 is the best representative because it most directly implements the desired behavior in the same code path and is the more explicit of the two fixes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12762", + "right": "pull_request:13103", + "accept": true, + "reason": "Same underlying bug in from_pipe(): both prevent the default float32 cast and aim to preserve the source pipeline dtype. They are alternative implementations of the same fix and could plausibly be merged into one PR." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The packet supports the core claim that both PRs address the same from_pipe() dtype regression on the same code path and issue target. The soft-edge acceptance is conservative enough: each change removes the implicit float32 default, and the titles/diffs support the intent to preserve existing dtype. PR 13103 is reasonably described as the more explicit fix because it defaults to pipeline.dtype directly." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 89, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12788-3", + "nodes": [ + "pull_request:12788", + "pull_request:13239", + "pull_request:13240" + ], + "soft_pairs": [ + "pull_request:13239|pull_request:13240", + "pull_request:12788|pull_request:13239", + "pull_request:12788|pull_request:13240" + ], + "prepared_review_unit_hash": "e7e26e42da3248c3e4506b502e042b7a299e747e2e0687348b74e20b2b669b41", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7373, + "estimated_input_tokens": 1844, + "estimated_eval_tokens": 3944 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7373, + "estimated_input_tokens": 1844, + "estimated_eval_tokens": 3944 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "13239 and 13240 look like the same DPMSolverMultistepScheduler timestep-deduplication fix in the same code path. 12788 is related to the same scheduler and issue target, but the truncated diff and weaker evidence make it better treated as only adjacent/possibly related, not confidently the same change.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:13240 is the clearest representative because its title and diff most explicitly describe the concrete bug/fix for the shared scheduler path, while still matching 13239 closely.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:13240 is the best single representative of the cluster since it most clearly names the underlying timestep-deduplication bug and aligns with the shared code-path change across the accepted pair.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13239", + "right": "pull_request:13240", + "accept": true, + "reason": "Same scheduler file, same issue target, and essentially the same code-path change: removing conditional rounding to deduplicate timesteps." + }, + { + "left": "pull_request:12788", + "right": "pull_request:13239", + "accept": false, + "reason": "They share the scheduler file and issue target, but the available evidence for 12788 is too thin/truncated to conclude it is the same concrete fix rather than a related earlier attempt." + }, + { + "left": "pull_request:12788", + "right": "pull_request:13240", + "accept": false, + "reason": "Same broad area and issue target, but not enough evidence that 12788 fixes the same underlying bug; it should be treated as related, not merged as a duplicate." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The cluster is plausible for 13239 and 13240, but the writeup overstates the evidence for 12788. In the packet, 12788 only clearly shares the same scheduler file and issue target, and its diff preview is truncated; that is not enough to confidently call it the same concrete fix or an earlier broader attempt. The soft-edge verdicts for 12788 should be more conservative (e.g., related/possibly same area), so I would reject this summary as too assertive." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 90, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12865-2", + "nodes": [ + "pull_request:12865", + "pull_request:12866" + ], + "soft_pairs": [ + "pull_request:12865|pull_request:12866" + ], + "prepared_review_unit_hash": "b496d937306ebfff8984152463b574284139ddca08f2332bf56971366458d75a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5259, + "estimated_input_tokens": 1315, + "estimated_eval_tokens": 2886 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5259, + "estimated_input_tokens": 1315, + "estimated_eval_tokens": 2886 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate workflow-maintenance PRs that overlap in files but not in the underlying change. PR 12865 is a broad Node 24 compatibility update for many GitHub Actions; PR 12866 is a narrower upgrade of Docker/typo workflow actions to newer versions.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12865 is the better canonical PR because it is the broader, more representative GitHub Actions compatibility upgrade affecting many workflows, whereas PR 12866 is a smaller follow-on focused on a few specific action version bumps.", + "best_issue_reason": null, + "best_pr_reason": "PR 12865 best captures the main underlying maintenance task in this cluster: mass action-version updates for Node 24 compatibility across workflows.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12865", + "right": "pull_request:12866", + "accept": false, + "reason": "Shared workflow files are not enough here: 12865 updates many actions for Node 24 compatibility, while 12866 separately bumps Docker/build actions and typos workflow versions. They are related maintenance, but not the same concrete change and would not plausibly merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 91, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12869-2", + "nodes": [ + "pull_request:12869", + "pull_request:12870" + ], + "soft_pairs": [ + "pull_request:12869|pull_request:12870" + ], + "prepared_review_unit_hash": "2908506d9b3ba1841d1fe9c1f6e0a79572bdf45683c4c950dccbeb15eec6209c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5650, + "estimated_input_tokens": 1413, + "estimated_eval_tokens": 3082 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5650, + "estimated_input_tokens": 1413, + "estimated_eval_tokens": 3082 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are strongly related and appear to implement the same QwenImage attention-backend split feature, with one being a broader draft and the other a focused core implementation.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12870 is the best representative: it is the more focused core code change for split attention backends, while 12869 is a broader draft that also adds docs/performance content and wider pipeline touchpoints.", + "best_issue_reason": null, + "best_pr_reason": "PR 12870 best matches the cluster\u2019s core change because it directly implements the backend split in the attention dispatch and QwenImage code paths without the extra documentation-heavy scope of 12869.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12869", + "right": "pull_request:12870", + "accept": true, + "reason": "Both PRs target the same underlying split-attention backend change for QwenImage and share core files; 12869 is broader, but this is plausibly one merged change set." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 92, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12876-2", + "nodes": [ + "pull_request:12876", + "pull_request:13257" + ], + "soft_pairs": [ + "pull_request:12876|pull_request:13257" + ], + "prepared_review_unit_hash": "732acf7eda77575adc423dfb983dcbc51e4960182d74964f4d70aa983519f7ad", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3303, + "estimated_input_tokens": 826, + "estimated_eval_tokens": 1908 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3303, + "estimated_input_tokens": 826, + "estimated_eval_tokens": 1908 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are both small AUTO_TEXT2IMAGE_PIPELINES_MAPPING updates, but they register different pipelines for different models (OvisImage vs PRX), so they are not the same change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: the two pull requests modify the same mapping file but add different pipeline registrations for unrelated models.", + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a strong duplicate representative; they are separate model-specific mapping additions, not one underlying bug or fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12876", + "right": "pull_request:13257", + "accept": false, + "reason": "Different pipeline registrations (OvisImagePipeline vs PRXPipeline) with no shared concrete bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 93, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12978-2", + "nodes": [ + "pull_request:12978", + "pull_request:13051" + ], + "soft_pairs": [ + "pull_request:12978|pull_request:13051" + ], + "prepared_review_unit_hash": "3dd7d0b3eb1d18264d32db8dbfab12c45cf048b9bf6799270bdaaac5ad7d696a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4563, + "estimated_input_tokens": 1141, + "estimated_eval_tokens": 2538 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4563, + "estimated_input_tokens": 1141, + "estimated_eval_tokens": 2538 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch the modular/Mellon area, but they are not the same underlying change: #12978 is a narrow helper update in `mellon_node_utils.py`, while #13051 is a broader docs-and-integration PR spanning multiple modular pipeline files. The shared filename alone is not enough to merge them as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13051 is the better canonical representative because it is the broader, more complete Mellon modular-diffusers change, covering docs plus code integration across multiple files.", + "best_issue_reason": null, + "best_pr_reason": "PR #13051 best represents the cluster since it captures the main Mellon feature/documentation work rather than only the small utility tweak in #12978.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12978", + "right": "pull_request:13051", + "accept": false, + "reason": "Reject: they overlap in `mellon_node_utils.py`, but #12978 is a small schema/helper change while #13051 is a larger documentation/integration PR. They do not appear to fix the same concrete bug or be mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 94, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13048-2", + "nodes": [ + "pull_request:13048", + "pull_request:13405" + ], + "soft_pairs": [ + "pull_request:13048|pull_request:13405" + ], + "prepared_review_unit_hash": "b96bc58301700ea3d2505150ef1b581650b13e626919aae44916d77c30fd9ed5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4421, + "estimated_input_tokens": 1106, + "estimated_eval_tokens": 2468 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4421, + "estimated_input_tokens": 1106, + "estimated_eval_tokens": 2468 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related only by touching the torchao quantizer codebase, but they address different problems: one removes an obsolete docs section about autoquant, while the other changes runtime handling of TorchAO tensor types in code. They should not be clustered as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "13405 is the more substantive code-path change: it updates torchao tensor-type introspection in the quantizer and includes a test adjustment, whereas 13048 is documentation cleanup with a small related code/doc edit.", + "best_issue_reason": null, + "best_pr_reason": "13405 is the best representative PR for this cluster because it directly fixes a concrete implementation detail in src/diffusers/quantizers/torchao/torchao_quantizer.py; 13048 is mostly docs-only and not the same change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13048", + "right": "pull_request:13405", + "accept": false, + "reason": "Different underlying changes: 13048 removes an autoquant docs section, while 13405 changes quantizer behavior around AffineQuantizedTensor/TorchAOBaseTensor handling. Shared filename alone is not enough to treat them as the same PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 95, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13094-2", + "nodes": [ + "pull_request:13094", + "pull_request:13183" + ], + "soft_pairs": [ + "pull_request:13094|pull_request:13183" + ], + "prepared_review_unit_hash": "f750981785ddaed591804927101ea6d2d226a08954383712796a8a3adeadcdaf", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3680, + "estimated_input_tokens": 920, + "estimated_eval_tokens": 2096 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3680, + "estimated_input_tokens": 920, + "estimated_eval_tokens": 2096 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests address the same Z-Image bug: `do_classifier_free_guidance` should trigger for `guidance_scale > 0`, not `> 1`, in the same pipeline file. They are effectively duplicate fixes of the same code-path issue.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13183 is the stronger canonical PR because it is the merged/closed implementation of the exact same threshold fix in `pipeline_z_image.py` and has the clearer final state.", + "best_issue_reason": null, + "best_pr_reason": "PR 13183 is the best representative PR since it was merged, directly resolves the target issue, and contains the same minimal fix as the other PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13094", + "right": "pull_request:13183", + "accept": true, + "reason": "Same bug, same file, same line-level change (`> 1` to `> 0`) for Z-Image guidance gating; these are duplicate implementations of the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 96, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13102-3", + "nodes": [ + "pull_request:13102", + "pull_request:13128", + "pull_request:13136" + ], + "soft_pairs": [ + "pull_request:13102|pull_request:13136", + "pull_request:13128|pull_request:13136", + "pull_request:13102|pull_request:13128" + ], + "prepared_review_unit_hash": "7919ac1ae48cfb484de2f67f51ea0f1c935933980b77774d0043ddefad67c22c", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7360, + "estimated_input_tokens": 1840, + "estimated_eval_tokens": 3936 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7360, + "estimated_input_tokens": 1840, + "estimated_eval_tokens": 3936 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs target the same file and issue #13077, but they split into two distinct fix directions: #13102 deep-copies modules, #13128 re-instantiates from state_dict, and #13136 keeps shared modules frozen. #13128 remains the best canonical PR because it is the most complete implementation with tests, but #13102 should not be merged as the same change as #13128.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13128 is the best canonical PR: it provides the most complete fix for the weight-sharing bug, uses a robust state_dict-based reconstruction approach, and includes tests.", + "best_issue_reason": null, + "best_pr_reason": "PR #13128 is the strongest standalone PR because it fully addresses the bug with a concrete, tested implementation and is more complete than the simpler deep-copy patch in #13102.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13102", + "right": "pull_request:13128", + "accept": false, + "reason": "They share the same target and file, but the fixes take materially different implementation paths: deep-copying modules versus state_dict-based re-instantiation. That is not conservative enough to treat as the same change." + }, + { + "left": "pull_request:13102", + "right": "pull_request:13136", + "accept": false, + "reason": "They address the same broader bug but with opposite semantics: #13102 copies modules to avoid sharing, while #13136 intentionally shares modules and freezes them. Not the same underlying change." + }, + { + "left": "pull_request:13128", + "right": "pull_request:13136", + "accept": false, + "reason": "Both touch the same code path and issue, but the implementations are different designs and not plausibly mergeable into one PR without choosing one approach over the other." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is mostly grounded, but one soft-edge verdict is too strong. PR #13102 and #13128 do share the issue target and file, but the packet only shows soft similarity; their fixes are materially different implementation paths (deep-copying modules vs state_dict-based re-instantiation). That does not clearly look mergeable into a single PR without choosing one approach, so accepting that pair is not conservative enough. The other two negative verdicts are fine." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 97, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13108-2", + "nodes": [ + "pull_request:13108", + "pull_request:13125" + ], + "soft_pairs": [ + "pull_request:13108|pull_request:13125" + ], + "prepared_review_unit_hash": "b462529f9a7f18530752d5788489633245cffc4a4fa7243a7e2e5da8493f05b2", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4296, + "estimated_input_tokens": 1074, + "estimated_eval_tokens": 2404 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4296, + "estimated_input_tokens": 1074, + "estimated_eval_tokens": 2404 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two open PRs apply the same scheduling-pattern fix to different scheduler implementations, but they are not duplicates of the same concrete change.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13125 is the better representative of the cluster because it has broader scope (two scheduler files) and a clearer, more explicit fix for the timestep lookup logic.", + "best_issue_reason": null, + "best_pr_reason": "PR 13125 is the strongest single PR here: it generalizes the previous-timestep fix across CogVideoX scheduler code paths and is more self-contained than the single-file DDIM patch.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13108", + "right": "pull_request:13125", + "accept": false, + "reason": "Both PRs fix a similar prev_timestep calculation pattern, but they target different scheduler classes and different code paths. They are related fixes, not the same underlying change that could plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 98, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13118-3", + "nodes": [ + "pull_request:13118", + "pull_request:13188", + "pull_request:13189" + ], + "soft_pairs": [ + "pull_request:13118|pull_request:13188", + "pull_request:13118|pull_request:13189", + "pull_request:13188|pull_request:13189" + ], + "prepared_review_unit_hash": "013514ac4172069ffb140e210b516b97a30bdb8e979ffcb260dc7578dface92c", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7235, + "estimated_input_tokens": 1809, + "estimated_eval_tokens": 3874 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7235, + "estimated_input_tokens": 1809, + "estimated_eval_tokens": 3874 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs cluster around Kohya Flux LoRA loading fixes, but they split into two distinct bug classes: Flux.1 TE-prefix handling and Flux.2/Musubi tuner handling. The only plausible duplicate/overlap is between the broader Flux.2 fix PR and the Musubi tuner Flux.2 PR; the Flux.1 TE-prefix PR is separate.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13118 is the broadest representative of the Flux LoRA loading work and already includes the Flux.2-related conversion/pipeline changes plus the Flux.1 TE-prefix fix. It has the most complete discussion footprint and best captures the shared code-path work in this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR 13118 is the strongest global representative because it covers the most substantial fix set, including the Flux.2 loading path that overlaps with 13189, while also resolving the Flux.1 TE-prefix case. It is the most complete candidate for the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13118", + "right": "pull_request:13188", + "accept": false, + "reason": "Different underlying bug: 13118 targets Flux.2-dev LoRA loading plus broader Flux handling, while 13188 is specifically about Flux.1-dev LoRAs with the lora_te1_ prefix. Same file, but not the same fix." + }, + { + "left": "pull_request:13118", + "right": "pull_request:13189", + "accept": true, + "reason": "Both address the same Flux.2 LoRA loading code path in Kohya conversion/pipeline logic. 13189 appears to be a narrower subset of the Flux.2 fix already present in 13118, so they could plausibly be merged into one PR." + }, + { + "left": "pull_request:13188", + "right": "pull_request:13189", + "accept": false, + "reason": "These are separate issues: 13188 handles Flux.1 TE-prefix parsing, while 13189 handles Flux.2/Musubi tuner loading. Shared filename alone is not enough to treat them as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 99, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13182-2", + "nodes": [ + "pull_request:13182", + "pull_request:13457" + ], + "soft_pairs": [ + "pull_request:13182|pull_request:13457" + ], + "prepared_review_unit_hash": "ccffb500636e5030c41b0c453647a4047e7038b9f539d03a573ea8e9265b7267", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4457, + "estimated_input_tokens": 1115, + "estimated_eval_tokens": 2486 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4457, + "estimated_input_tokens": 1115, + "estimated_eval_tokens": 2486 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are not duplicates: one fixes attention backend LSE broadcasting in core dispatch code, while the other patches a TPU/XLA example by disabling a Flux pipeline optimization and adding a step callback.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13182 is the better canonical PR because it addresses a concrete core runtime bug in attention dispatch with a focused fix and tests, rather than an example-only TPU workaround.", + "best_issue_reason": null, + "best_pr_reason": "PR #13182 is the strongest representative of the cluster if one must be chosen: it targets a specific code-path defect in the library itself and is more broadly applicable than the XLA example fix in #13457.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13182", + "right": "pull_request:13457", + "accept": false, + "reason": "Different subsystems and failure modes: #13182 fixes LSE shape handling in attention backends, while #13457 works around XLA device placement/timestep creation in a Flux example. They are not the same underlying bug or mergeable change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 100, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13213-3", + "nodes": [ + "pull_request:13213", + "pull_request:13214", + "pull_request:13222" + ], + "soft_pairs": [ + "pull_request:13213|pull_request:13214", + "pull_request:13213|pull_request:13222", + "pull_request:13214|pull_request:13222" + ], + "prepared_review_unit_hash": "7ab3f441fe6c9886af7b2d403b7eb53cf4f368b9668324b9402a417dc84e3c83", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6369, + "estimated_input_tokens": 1593, + "estimated_eval_tokens": 3442 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6369, + "estimated_input_tokens": 1593, + "estimated_eval_tokens": 3442 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The cluster contains three distinct Helios PRs: one docs link fix, one runtime code fix, and one docs optimization update. They are related by topic but do not represent the same underlying change, so none of the soft duplicate links should be accepted.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13222 is the closest thing to a cluster representative because it is the broadest Helios documentation update and touches the shared pipeline docs file.", + "best_issue_reason": null, + "best_pr_reason": "PR 13222 is the best standalone representative for the cluster theme: it is self-contained, documentation-focused, and overlaps the shared Helios docs path more than the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13213", + "right": "pull_request:13214", + "accept": false, + "reason": "Docs-only paper-link fix and a code-path float-cast fix are unrelated changes; they would not plausibly be merged as one PR." + }, + { + "left": "pull_request:13213", + "right": "pull_request:13222", + "accept": false, + "reason": "Both touch Helios docs, but one fixes a paper link while the other changes optimization guidance and example settings; different underlying edits." + }, + { + "left": "pull_request:13214", + "right": "pull_request:13222", + "accept": false, + "reason": "A runtime tensor type fix and a documentation optimization update are not the same bug/change and should remain separate." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 101, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13230-2", + "nodes": [ + "pull_request:13230", + "pull_request:13233" + ], + "soft_pairs": [ + "pull_request:13230|pull_request:13233" + ], + "prepared_review_unit_hash": "73ca127fa26cad86f61cd7cad333160d94c497a7903f01c564c02fe7fb47e9be", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2480, + "estimated_input_tokens": 620, + "estimated_eval_tokens": 1496 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2480, + "estimated_input_tokens": 620, + "estimated_eval_tokens": 1496 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs address the same GitHub Code Scanning alert class by adding `permissions: contents: read` to workflow files, but they touch different workflows and are separate fixes rather than one mergeable change.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13233 is the better representative because its title is more generic and it directly updates the main `pr_tests.yml` workflow, making it the cleaner exemplar for this permission-fix pattern.", + "best_issue_reason": null, + "best_pr_reason": "PR #13233 is slightly better as a cluster representative; it is the clearer, broader instance of the workflow-permissions fix, while #13230 is the GPU-specific variant.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13230", + "right": "pull_request:13233", + "accept": false, + "reason": "They fix the same broad alert type, but on different workflow files (`pr_tests_gpu.yml` vs `pr_tests.yml`). This is not the same concrete code-path problem and would not plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 102, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13250-2", + "nodes": [ + "pull_request:13250", + "pull_request:13260" + ], + "soft_pairs": [ + "pull_request:13250|pull_request:13260" + ], + "prepared_review_unit_hash": "a25c6036e163c2cc5a13732c6c36aefebb89c59bd5126f0ccebb0a9f2d549fe5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4040, + "estimated_input_tokens": 1010, + "estimated_eval_tokens": 2276 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4040, + "estimated_input_tokens": 1010, + "estimated_eval_tokens": 2276 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two distinct pull requests touch the same helper file, but they address different LoRA conversion bugs: one adds LoKr/Z-image key support, the other makes alpha keys optional. They are not duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13250 is the stronger representative: it has a clearer, self-contained feature/fix scope, explicit issue linkage, and a concrete LoKr/Z-image conversion path change.", + "best_issue_reason": null, + "best_pr_reason": "PR #13250 best represents the cluster because it fixes a more specific and substantial conversion bug with explicit targeting, while #13260 is a separate alpha-key fallback tweak.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13250", + "right": "pull_request:13260", + "accept": false, + "reason": "Both edit lora_conversion_utils.py, but they fix different problems: LoKr-format handling vs missing alpha-key fallback. They are not the same underlying bug and would not naturally merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 103, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13289-2", + "nodes": [ + "pull_request:13289", + "pull_request:13485" + ], + "soft_pairs": [ + "pull_request:13289|pull_request:13485" + ], + "prepared_review_unit_hash": "f6e6d277457d07f4911ec8a718402a5763f6335d51aca1aa17d2bd832917e14d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6150, + "estimated_input_tokens": 1538, + "estimated_eval_tokens": 3332 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6150, + "estimated_input_tokens": 1538, + "estimated_eval_tokens": 3332 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related Neuron-device PRs with substantial file overlap, but they address different changes: one adds AWS Neuron support broadly, while the other targets torch.compile compatibility on Neuron. They should not be clustered as duplicates/near-duplicates.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13289 is the broader, earlier Neuron enablement change and is the better representative of the device-support work in this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #13289 is the strongest single representative because it covers the main AWS Neuron support effort; PR #13485 is a narrower follow-up focused on compile compatibility.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13289", + "right": "pull_request:13485", + "accept": false, + "reason": "They share a device-integration codebase, but the titles and scope differ: adding AWS Neuron as an officially supported device vs enabling torch.compile compatibility on Neuron. That is not the same concrete fix/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 104, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13307-3", + "nodes": [ + "pull_request:13307", + "pull_request:13396", + "pull_request:13415" + ], + "soft_pairs": [ + "pull_request:13307|pull_request:13396", + "pull_request:13307|pull_request:13415", + "pull_request:13396|pull_request:13415" + ], + "prepared_review_unit_hash": "ff63e04a78dfe8512cdbf072af7114e332ee53261bec3230448b8276fdd60e6a", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7216, + "estimated_input_tokens": 1804, + "estimated_eval_tokens": 3864 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7216, + "estimated_input_tokens": 1804, + "estimated_eval_tokens": 3864 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs address a similar prior-preservation prompt-repeat bug in DreamBooth examples, but only the Flux2 PRs share the same concrete code path; the Qwen-Image PR is a separate implementation and should not be merged into that duplicate set.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:13415 is the best canonical PR: it is merged, directly fixes the Flux2 DreamBooth repeat bug, and is a clean representative of the concrete code-path change shared by the Flux2 variants.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:13415 is the strongest cluster representative because it is merged and fixes the same Flux2 repeat-count bug with the same mechanism as the other Flux2 PR, while avoiding the separate Qwen-Image code path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13307", + "right": "pull_request:13396", + "accept": false, + "reason": "Same general prior-preservation theme, but different scripts/model code paths (Flux2 vs Qwen-Image). They are not the same concrete bug fix and would not plausibly be one PR." + }, + { + "left": "pull_request:13307", + "right": "pull_request:13415", + "accept": true, + "reason": "Both fix the Flux2 DreamBooth prior-preservation repeat-count mismatch in the same code path, with nearly identical logic and overlapping files. They look like duplicate fixes for the same underlying bug." + }, + { + "left": "pull_request:13396", + "right": "pull_request:13415", + "accept": false, + "reason": "These target different example scripts and different prompt-embedding handling details. Same broad bug class, but not the same concrete change or mergeable into one PR as duplicates." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the cross-model pair. The Flux2 pair is plausibly the same bugfix in the same code path, while the Qwen-Image PR is correctly treated as a separate implementation rather than merged into the duplicate set." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 105, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1334-2", + "nodes": [ + "pull_request:1334", + "pull_request:1426" + ], + "soft_pairs": [ + "pull_request:1334|pull_request:1426" + ], + "prepared_review_unit_hash": "02f12c7b984493089235690154053c2deac2dba99928dd7379050e94ad88561c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6506, + "estimated_input_tokens": 1627, + "estimated_eval_tokens": 3510 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6506, + "estimated_input_tokens": 1627, + "estimated_eval_tokens": 3510 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both artifacts are the same AudioDiffusion/LatentAudioDiffusion feature PR, with PR #1426 appearing to be the merged follow-up/finalized version of #1334.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1426 is the better canonical PR because it is the merged, final version of the same change set and references #1334 in its title.", + "best_issue_reason": null, + "best_pr_reason": "PR #1426 best represents the cluster because it was actually merged and contains the completed implementation for the same feature.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1334", + "right": "pull_request:1426", + "accept": true, + "reason": "Nearly identical file set and content, same feature scope, and #1426 explicitly references #1334, indicating the same underlying change could be consolidated into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 106, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13354-2", + "nodes": [ + "pull_request:13354", + "pull_request:13374" + ], + "soft_pairs": [ + "pull_request:13354|pull_request:13374" + ], + "prepared_review_unit_hash": "accbd0f4b78ffafe0ed104fd593cbcd8d6ed364198e84542ed855866ffebfc84", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4168, + "estimated_input_tokens": 1042, + "estimated_eval_tokens": 2340 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4168, + "estimated_input_tokens": 1042, + "estimated_eval_tokens": 2340 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related workflow-maintenance PRs on the same file, but they address different changes and are not duplicates of the same underlying fix.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13374 is the better anchor because it is the merged workflow update and includes the broader behavior change around checkout/sanitization and diff retrieval.", + "best_issue_reason": null, + "best_pr_reason": "PR 13374 is the strongest representative of the cluster since it is merged and more complete; 13354 is a separate earlier edit to the same workflow file.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13354", + "right": "pull_request:13374", + "accept": false, + "reason": "They both edit .github/workflows/claude_review.yml, but the changes are different in kind: 13354 updates permissions, action pinning, and prompt text, while 13374 changes checkout behavior, restores base config, and adds PR diff extraction. Same file/subsystem is not enough to treat them as the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 107, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13378-2", + "nodes": [ + "pull_request:13378", + "pull_request:13389" + ], + "soft_pairs": [ + "pull_request:13378|pull_request:13389" + ], + "prepared_review_unit_hash": "5fa8cfe709386c7d890e6b1a39ce9134999dca34e49284bef3046f0f28001e44", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6034, + "estimated_input_tokens": 1509, + "estimated_eval_tokens": 3274 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6034, + "estimated_input_tokens": 1509, + "estimated_eval_tokens": 3274 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate model-specific modular pipeline additions that share common framework files but do not fix the same underlying bug or implement the same feature. They should not be treated as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "PR #13389 is the more central representative of the cluster: it has broader inbound reference activity and adds a distinct modular pipeline integration, making it the stronger keep/representative candidate among the two unrelated PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13378", + "right": "pull_request:13389", + "accept": false, + "reason": "Reject: both PRs add different model-specific modular pipelines (LTX Video vs HunyuanVideo 1.5). Shared framework files are expected and do not indicate the same concrete change or code-path fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 108, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13379-2", + "nodes": [ + "pull_request:13379", + "pull_request:13449" + ], + "soft_pairs": [ + "pull_request:13379|pull_request:13449" + ], + "prepared_review_unit_hash": "01d59303cce18c62e3d0de4e1ca916a76e9f15e530ca5308130c9f39b4e83b4b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6683, + "estimated_input_tokens": 1671, + "estimated_eval_tokens": 3598 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6683, + "estimated_input_tokens": 1671, + "estimated_eval_tokens": 3598 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs share the same QwenImage area and issue target, but they fix different code paths: one makes encoder inputs/masks optional-safe, while the other changes CFG activation to treat precomputed negative_prompt_embeds as sufficient. They are related, not duplicates.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13449 is the cleaner representative for the CFG regression described by the shared issue target: it directly fixes the pipeline logic that was disabling CFG when only negative_prompt_embeds were provided.", + "best_issue_reason": null, + "best_pr_reason": "PR #13449 best matches the user-facing bug and has the most direct, minimal fix across the QwenImage pipelines; PR #13379 is a broader encoder/input-handling change and not the same concrete bug fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13379", + "right": "pull_request:13449", + "accept": false, + "reason": "Different underlying fixes: #13379 adjusts how Qwen encoder inputs and masks are passed, while #13449 changes the has_neg_prompt check so CFG works with precomputed negative_prompt_embeds. They touch related code but are not the same change and would not naturally merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 109, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13402-6", + "nodes": [ + "pull_request:13402", + "pull_request:13403", + "pull_request:13407", + "pull_request:13408", + "pull_request:13413", + "pull_request:13414" + ], + "soft_pairs": [ + "pull_request:13402|pull_request:13408", + "pull_request:13402|pull_request:13414", + "pull_request:13402|pull_request:13403", + "pull_request:13402|pull_request:13413", + "pull_request:13403|pull_request:13407", + "pull_request:13408|pull_request:13414", + "pull_request:13408|pull_request:13413", + "pull_request:13413|pull_request:13414" + ], + "prepared_review_unit_hash": "336fc555d4a290eda2123203550d135f28d78f2650cb9389645fc1ba9f0ae61b", + "component_budget": { + "node_count": 6, + "item_count": 6, + "soft_pair_count": 8, + "serialized_chars": 18855, + "estimated_input_tokens": 4714, + "estimated_eval_tokens": 9684 + }, + "budget": { + "node_count": 6, + "item_count": 6, + "soft_pair_count": 8, + "serialized_chars": 18855, + "estimated_input_tokens": 4714, + "estimated_eval_tokens": 9684 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are all related to small text-only cleanup, but they address different concrete strings and code paths, so they should not be de-duplicated together.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13408 is the broadest and most representative cleanup PR in this cluster, spanning multiple docstring/error-message fixes across model and pipeline files.", + "best_issue_reason": null, + "best_pr_reason": "PR 13408 is a good global representative because it covers many similar grammar/docstring edits across several modules, making it the most central example of this cleanup theme.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13402", + "right": "pull_request:13408", + "accept": false, + "reason": "Both are text cleanup PRs, but they fix different strings in different files; same style is not enough to treat them as the same change." + }, + { + "left": "pull_request:13402", + "right": "pull_request:13414", + "accept": false, + "reason": "Overlapping grammar/docstring cleanup, but the edits are in different modules and correct different messages." + }, + { + "left": "pull_request:13402", + "right": "pull_request:13403", + "accept": false, + "reason": "One fixes duplicate words in docstrings; the other fixes missing f-string prefixes in logs. Different bug classes." + }, + { + "left": "pull_request:13402", + "right": "pull_request:13413", + "accept": false, + "reason": "These are separate wording fixes with different targets and no shared concrete bug or code path." + }, + { + "left": "pull_request:13403", + "right": "pull_request:13407", + "accept": false, + "reason": "Both involve f-strings, but they touch different pipeline/scheduler locations and are distinct log-message fixes." + }, + { + "left": "pull_request:13408", + "right": "pull_request:13414", + "accept": false, + "reason": "Shared cleanup theme and one shared filename do not make these the same change; they correct different text in different spots." + }, + { + "left": "pull_request:13408", + "right": "pull_request:13413", + "accept": false, + "reason": "Different grammatical fixes in different model docstrings; not the same underlying issue." + }, + { + "left": "pull_request:13413", + "right": "pull_request:13414", + "accept": false, + "reason": "Both are grammar-only fixes, but they target different wording problems and should remain separate PRs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 110, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13412-2", + "nodes": [ + "pull_request:13412", + "pull_request:13466" + ], + "soft_pairs": [ + "pull_request:13412|pull_request:13466" + ], + "prepared_review_unit_hash": "37eb644352ed066b7899ed7c770118fc782f2ef3129fd9ae836b68783d70b2ea", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4600, + "estimated_input_tokens": 1150, + "estimated_eval_tokens": 2556 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4600, + "estimated_input_tokens": 1150, + "estimated_eval_tokens": 2556 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are closely related scheduler fixes for the same LTXEulerAncestralRFScheduler sigma monotonicity path, and could plausibly be merged together.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13466 is the tighter code-path fix: it directly enforces monotonicity for explicit sigma schedules in `set_timesteps`, which is the core bug both PRs address. PR 13412 is broader and includes docs/tests scaffolding.", + "best_issue_reason": null, + "best_pr_reason": "PR 13466 is the best representative of the underlying bug fix because it is focused on the concrete validation in the scheduler implementation rather than the broader documentation/test update in 13412.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13412", + "right": "pull_request:13466", + "accept": true, + "reason": "Both PRs target the same LTXEulerAncestralRFScheduler monotonicity validation issue in the same file and same issue target; 13466 is a narrower implementation of the same fix." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The pairing is grounded in the packet: both PRs target issue 13411, touch the same scheduler file, and the diffs/titles indicate the same monotonicity-validation bugfix with 13412 adding broader docs/tests around it. The summary and soft-edge verdict stay conservative and do not overclaim beyond the evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 111, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13417-2", + "nodes": [ + "pull_request:13417", + "pull_request:13441" + ], + "soft_pairs": [ + "pull_request:13417|pull_request:13441" + ], + "prepared_review_unit_hash": "44b323fcc5eac212b89652f0f80dfdcfa617bbed6e009ce72975eec3b6da0597", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4474, + "estimated_input_tokens": 1119, + "estimated_eval_tokens": 2494 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4474, + "estimated_input_tokens": 1119, + "estimated_eval_tokens": 2494 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are not duplicates: one fixes VAE offload/device placement in several DreamBooth LoRA scripts, the other fixes prior-preservation prompt/image batch repetition ordering in Qwen Image DreamBooth.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents a duplicate cluster here. If forced to pick a representative, PR 13417 is broader and spans multiple DreamBooth scripts, but it is not the same bug as 13441.", + "best_issue_reason": null, + "best_pr_reason": "PR 13417 is the better cluster anchor because it covers a wider set of affected DreamBooth scripts and a concrete device-mismatch fix; PR 13441 is a separate ordering/repeat bug in one script.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13417", + "right": "pull_request:13441", + "accept": false, + "reason": "Different underlying defects and code paths: 13417 moves VAE encode input to the accelerator device during offload, while 13441 changes how prior-preservation prompt embeddings/masks are repeated. They are both DreamBooth-related but not mergeable as one fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 112, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13420-2", + "nodes": [ + "pull_request:13420", + "pull_request:13422" + ], + "soft_pairs": [ + "pull_request:13420|pull_request:13422" + ], + "prepared_review_unit_hash": "97d5ffb46e72430e4267dcad3d2b9a8040e471a0142b48d2da56aca64d3e34a8", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4231, + "estimated_input_tokens": 1058, + "estimated_eval_tokens": 2372 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4231, + "estimated_input_tokens": 1058, + "estimated_eval_tokens": 2372 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate feature PRs adding negative_prompt support to different pipelines (Flux2Klein vs GLMImage). They are superficially similar but do not look like the same underlying change set.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical PR: the two PRs touch different pipelines, different files, and different issue targets, so they represent separate changes rather than duplicates.", + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a good global representative of the other; each is pipeline-specific and should be triaged independently.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13420", + "right": "pull_request:13422", + "accept": false, + "reason": "Both add negative_prompt support, but to different code paths and different pipelines (Flux2Klein vs GLMImage). They are similar in theme, not the same concrete bug/change, so they should not be merged as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 113, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13456-2", + "nodes": [ + "pull_request:13456", + "pull_request:13464" + ], + "soft_pairs": [ + "pull_request:13456|pull_request:13464" + ], + "prepared_review_unit_hash": "5950003273e3813ad760a1479a04e247b24233b96ba2b0a24f6b473bdd56f061", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5026, + "estimated_input_tokens": 1257, + "estimated_eval_tokens": 2770 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5026, + "estimated_input_tokens": 1257, + "estimated_eval_tokens": 2770 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are not duplicates: PR 13456 is a broad ERNIE-Image feature/addition with docs and new modules, while PR 13464 is a small follow-up dtype fix in the same transformer file for gguf/GPU backend behavior.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "13464 is the more focused representative of the actual code-path bug: it makes a narrow dtype correction in `transformer_ernie_image.py` without the unrelated feature/docs bulk.", + "best_issue_reason": null, + "best_pr_reason": "13464 best matches a concrete bugfix PR; 13456 is primarily a larger feature/enablement PR that only happens to share the same transformer file.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13456", + "right": "pull_request:13464", + "accept": false, + "reason": "Shared file and dtype theme, but the underlying changes differ: 13456 is a broad ERNIE-Image addition with docs/new components, whereas 13464 is a targeted backend dtype fix in the transformer forward/rope path." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 114, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13467-2", + "nodes": [ + "pull_request:13467", + "pull_request:13497" + ], + "soft_pairs": [ + "pull_request:13467|pull_request:13497" + ], + "prepared_review_unit_hash": "b6d8b81360a1d94e0b829216b80a16f020c29313972c1d6ca366883d198d9e30", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4105, + "estimated_input_tokens": 1027, + "estimated_eval_tokens": 2310 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4105, + "estimated_input_tokens": 1027, + "estimated_eval_tokens": 2310 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests target the same `pyramid_attention_broadcast.py` forward-path behavior: removing the iteration-0 recompute guard and fixing cache invalidation when outside the timestep range. They are duplicates for triage purposes.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13497 is the cleaner, more explicit version of the same fix in the same code path, with the cache invalidation change stated directly.", + "best_issue_reason": null, + "best_pr_reason": "PR #13497 is the best representative of the cluster because it focuses on the exact stale-cache/iteration-0 behavior and has the clearest patch intent.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13467", + "right": "pull_request:13497", + "accept": true, + "reason": "Same file, same `new_forward` control flow, same iteration-0 guard removal, and same cache-staleness fix; these are the same underlying change and could be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 115, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13468-2", + "nodes": [ + "pull_request:13468", + "pull_request:13471" + ], + "soft_pairs": [ + "pull_request:13468|pull_request:13471" + ], + "prepared_review_unit_hash": "947f7d2d4b03878d5c4391d452029ef317f4f2e553245a12a92a5cd597f9aa0b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4152, + "estimated_input_tokens": 1038, + "estimated_eval_tokens": 2332 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4152, + "estimated_input_tokens": 1038, + "estimated_eval_tokens": 2332 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch the same profiling helper and reference the same issue, but they implement different fixes: 13468 is a broad class-level patch, while 13471 is a narrower LTX2-only instance-isolation fix. That makes them related, but not a confident duplicate or mergeable pair.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13471 is the merged and more targeted fix, directly scoped to the LTX2 profiling instance-isolation bug.", + "best_issue_reason": null, + "best_pr_reason": "PR 13471 is the best representative because it is already merged and its scoped change most cleanly matches the concrete bug description.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13468", + "right": "pull_request:13471", + "accept": false, + "reason": "Shared file and issue target indicate a soft relationship, but the patches are not the same change: 13468 applies a broad class-level fix, while 13471 conditionally applies an LTX2-only instance-level fix. These look like alternative implementations rather than a single mergeable duplicate." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is a bit too strong for the packet. The two PRs share the same file and issue target, but the evidence only supports a soft relationship, not a confident duplicate/mergeable-pair claim. PR 13468 applies a broad class-level fix, while PR 13471 gates a different instance-level fix to LTX2 pipelines only; that makes them alternative implementations rather than clearly mergeable changes for one PR. The soft-edge verdict should be more conservative than \"accept\"." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 116, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13476-2", + "nodes": [ + "pull_request:13476", + "pull_request:13493" + ], + "soft_pairs": [ + "pull_request:13476|pull_request:13493" + ], + "prepared_review_unit_hash": "4894dc589ffd235354406198752fee8d8012738017c48a90eaa5b716e43ba8bf", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2971, + "estimated_input_tokens": 743, + "estimated_eval_tokens": 1742 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2971, + "estimated_input_tokens": 743, + "estimated_eval_tokens": 1742 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two maintenance PRs both bump the doc-builder SHA, but they update different workflows and different doc-builder entrypoints, so they are related but not duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13476 is the cleaner canonical representative: it is merged, small, and directly updates the PR documentation upload workflow.", + "best_issue_reason": null, + "best_pr_reason": "PR #13476 is the best overall representative because it is already merged and fully resolved, while #13493 is a separate draft change for the main documentation build workflow.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13476", + "right": "pull_request:13493", + "accept": false, + "reason": "Both bump the same doc-builder SHA, but they target different workflow files and different reusable workflows (PR docs upload vs main docs build), so they are not the same concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 117, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-157-2", + "nodes": [ + "pull_request:1361", + "pull_request:157" + ], + "soft_pairs": [ + "pull_request:1361|pull_request:157" + ], + "prepared_review_unit_hash": "38354450f6336f323860fd95a93f0c235514a75e7919de652ad013f833722846", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5769, + "estimated_input_tokens": 1443, + "estimated_eval_tokens": 3142 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5769, + "estimated_input_tokens": 1443, + "estimated_eval_tokens": 3142 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two unrelated pull requests: one standardizes `image` kwargs across diffusion pipelines, the other updates tensor creation sites to use `device=` when available. They do not describe the same bug or mergeable change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1361 is the better canonical PR because it is merged, has an explicit issue target, and the change is a cohesive API-wide rename from `init_image` to `image`.", + "best_issue_reason": null, + "best_pr_reason": "PR #1361 is the strongest representative of the cluster since it is the only merged, clearly scoped change with direct issue linkage; PR #157 is a separate cross-cutting device-argument cleanup.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1361", + "right": "pull_request:157", + "accept": false, + "reason": "Different underlying changes: #1361 is an API/documentation keyword migration for image inputs, while #157 is a device-argument performance/compatibility cleanup across unrelated code paths. They are not mergeable into one concrete fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 118, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1383-3", + "nodes": [ + "pull_request:1383", + "pull_request:1637", + "pull_request:3274" + ], + "soft_pairs": [ + "pull_request:1383|pull_request:1637", + "pull_request:1383|pull_request:3274", + "pull_request:1637|pull_request:3274" + ], + "prepared_review_unit_hash": "8d24bdf19bf1b15805d529332c77ddf1637b831ba988044a9a62c2f55ccb0aba", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7816, + "estimated_input_tokens": 1954, + "estimated_eval_tokens": 4164 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7816, + "estimated_input_tokens": 1954, + "estimated_eval_tokens": 4164 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three pull requests are version-bump release PRs, but they target different releases and include different substantive changes, so they are not duplicates of the same underlying change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: these are separate patch-release PRs for different versions (0.8.1, 0.10.1, 0.16.1) with distinct accompanying code/doc changes.", + "best_issue_reason": null, + "best_pr_reason": "PR 1637 is the strongest standalone representative only because it is the only merged patch-release PR here, but it is not a duplicate of the other two and should not be treated as canonical for the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1383", + "right": "pull_request:1637", + "accept": false, + "reason": "Both are release/version bumps, but they are for different releases and PR 1637 includes modeling/test changes not present in 1383; shared filenames alone are not enough to make them the same change." + }, + { + "left": "pull_request:1383", + "right": "pull_request:3274", + "accept": false, + "reason": "These are different patch-release PRs for different versions, and 3274 also changes IF docs and pipeline code; they are not the same concrete fix or release change." + }, + { + "left": "pull_request:1637", + "right": "pull_request:3274", + "accept": false, + "reason": "Although both update package versions, the substantive edits are unrelated: 1637 adds gradient-checkpointing-related model/test work, while 3274 focuses on DeepFloyd IF docs and pipeline behavior." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 119, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1446-3", + "nodes": [ + "pull_request:1446", + "pull_request:1653", + "pull_request:2298" + ], + "soft_pairs": [ + "pull_request:1446|pull_request:1653", + "pull_request:1653|pull_request:2298" + ], + "prepared_review_unit_hash": "80848fa741d84796bcf65694831cb3e17c284f60a006fcc01428e48a08ce625e", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8361, + "estimated_input_tokens": 2091, + "estimated_eval_tokens": 4438 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8361, + "estimated_input_tokens": 2091, + "estimated_eval_tokens": 4438 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs are separate pipeline cleanup/fix changes, not duplicates: one removes stray kwargs, one fixes img2img timestep offset handling, and one removes an unused latent-upscale noise parameter.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1653 is the clearest representative because it makes a concrete functional fix in the shared img2img timestep code path, while the other PRs are unrelated API/parameter cleanups.", + "best_issue_reason": null, + "best_pr_reason": "PR 1653 is the best single representative of the cluster: it addresses an actual runtime behavior bug across multiple img2img-style pipelines rather than only removing unused arguments.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1446", + "right": "pull_request:1653", + "accept": false, + "reason": "Different changes: 1446 removes passthrough kwargs and speeds up tests, while 1653 changes timestep/offset logic in img2img pipelines. They do not fix the same underlying bug." + }, + { + "left": "pull_request:1653", + "right": "pull_request:2298", + "accept": false, + "reason": "Different code paths and symptoms: 1653 fixes img2img timestep offset computation, while 2298 removes an unused noise_level parameter from latent upscaling. Not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 120, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1557-2", + "nodes": [ + "pull_request:1557", + "pull_request:1799" + ], + "soft_pairs": [ + "pull_request:1557|pull_request:1799" + ], + "prepared_review_unit_hash": "93278210b9916602fafbcac32767abfa49085e84f3f3eb29a9dbf1b27e6fce72", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3708, + "estimated_input_tokens": 927, + "estimated_eval_tokens": 2110 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3708, + "estimated_input_tokens": 927, + "estimated_eval_tokens": 2110 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate bug-fix PRs in the same example script, not duplicates: one removes an obsolete DDPMScheduler tensor_format argument, the other reorders ORTModule wrapping and changes a model call to return_dict=False.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:1557", + "right": "pull_request:1799", + "accept": false, + "reason": "They share a file and a vague theme, but fix different concrete problems in different code paths: PR 1557 updates scheduler construction, while PR 1799 changes model wrapping order and output handling. They would not plausibly be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 121, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1567-2", + "nodes": [ + "pull_request:1567", + "pull_request:1618" + ], + "soft_pairs": [ + "pull_request:1567|pull_request:1618" + ], + "prepared_review_unit_hash": "aa4e23a542efb8e550bc62dd407cd5070a8573d299bb9c453dd52869407e8077", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4314, + "estimated_input_tokens": 1079, + "estimated_eval_tokens": 2414 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4314, + "estimated_input_tokens": 1079, + "estimated_eval_tokens": 2414 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests address the same DreamBooth checkpoint-saving crash caused by losing the fp32 wrapper during unwrap_model, and they patch the same file with essentially the same fix. PR #1618 is the better canonical PR because it is the merged, later version of the same change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1618 is the strongest canonical PR: it is merged, has the same title and target file as the earlier PR, and appears to be the finalized version of the same fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #1618 is the best representative because it was merged and contains the same concrete code-path fix for preserving the fp32 wrapper during DreamBooth checkpoint saves.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1567", + "right": "pull_request:1618", + "accept": true, + "reason": "Same underlying bug and same code path: both modify `examples/dreambooth/train_dreambooth.py` to keep the fp32 wrapper when saving checkpoints to avoid the fp16 crash. This is a true duplicate PR pair." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 122, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1691-2", + "nodes": [ + "pull_request:1691", + "pull_request:1888" + ], + "soft_pairs": [ + "pull_request:1691|pull_request:1888" + ], + "prepared_review_unit_hash": "77bd2feb9939488664ffe2a1b18e59deda376c6974a9556a27fa983636b4f71c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4391, + "estimated_input_tokens": 1098, + "estimated_eval_tokens": 2452 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4391, + "estimated_input_tokens": 1098, + "estimated_eval_tokens": 2452 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are not duplicates: PR #1691 changes training-step/max-epoch scheduling logic in one text-to-image script, while PR #1888 updates `report_to` help text across several training scripts. They share one filename but address different code paths and change types.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1888 is the better canonical representative for the cluster because it is merged and covers the broader, user-facing help-text cleanup across multiple scripts.", + "best_issue_reason": null, + "best_pr_reason": "PR #1888 is the stronger overall representative: it is merged, touches multiple related training scripts, and its change is self-contained and well-scoped.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1691", + "right": "pull_request:1888", + "accept": false, + "reason": "Different underlying changes: #1691 fixes training-step/epoch calculation in one script, while #1888 edits `report_to` argparse help text across scripts. Shared file alone is not enough to treat them as the same bug/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 123, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1694-3", + "nodes": [ + "pull_request:1694", + "pull_request:1775", + "pull_request:2033" + ], + "soft_pairs": [ + "pull_request:1694|pull_request:1775", + "pull_request:1694|pull_request:2033", + "pull_request:1775|pull_request:2033" + ], + "prepared_review_unit_hash": "6247552883bff0b647b438eb16cb45ebcfb68d513b3032c51cb02279c94d006b", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7060, + "estimated_input_tokens": 1765, + "estimated_eval_tokens": 3786 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7060, + "estimated_input_tokens": 1765, + "estimated_eval_tokens": 3786 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three separate iterative PRs updating the same example script, but they make different changes (manual code sync, adding a logger argument, and smaller cleanup/scheduler edits). They are related, but not duplicates of the same concrete change.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1694 is the best canonical representative because it is the largest foundational update to the script and appears to be the base that later PRs build on.", + "best_issue_reason": null, + "best_pr_reason": "PR 1694 is the strongest overall representative of the cluster: it has the broadest functional update and is more substantial than the later follow-up edits.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1694", + "right": "pull_request:1775", + "accept": false, + "reason": "Same file, but different changes: 1694 is a larger manual sync with helper logic, while 1775 mainly adds a logger CLI option and related argument handling. They are not the same concrete change." + }, + { + "left": "pull_request:1694", + "right": "pull_request:2033", + "accept": false, + "reason": "Both touch the same script, but 2033 is a smaller cleanup/parameter tweak PR rather than the same fix or feature as 1694's broader update." + }, + { + "left": "pull_request:1775", + "right": "pull_request:2033", + "accept": false, + "reason": "These are separate follow-up edits to the same example script, with different scopes and purposes; they do not look mergeable as one PR for the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 124, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1710-3", + "nodes": [ + "pull_request:1710", + "pull_request:1770", + "pull_request:2600" + ], + "soft_pairs": [ + "pull_request:1710|pull_request:2600", + "pull_request:1770|pull_request:2600" + ], + "prepared_review_unit_hash": "73cf4143c9736a078d9afec38463a9aafcf3a09aa5927b3056db9fbf6bf7729b", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8894, + "estimated_input_tokens": 2224, + "estimated_eval_tokens": 4704 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8894, + "estimated_input_tokens": 2224, + "estimated_eval_tokens": 4704 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three pull requests are documentation-focused, but they target different documentation problems: a docs README/bootstrap change, a broader stable-diffusion docs refresh, and a Flax pipeline API-doc addition. They are related in theme but not duplicates.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1770 is the broadest and most central documentation update in this cluster, touching stable-diffusion pipeline docs plus related source/doc examples; it best represents the main docs overhaul work.", + "best_issue_reason": null, + "best_pr_reason": "PR #1770 is the best representative for the cluster because it is the most substantial and general documentation change, whereas #1710 is a docs setup/readme addition and #2600 is a narrower Flax API-doc update.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1710", + "right": "pull_request:2600", + "accept": false, + "reason": "Both are docs-related, but #1710 adds a docs README/build setup and #2600 adds Flax pipeline API docs; different underlying changes and not plausibly one merged fix." + }, + { + "left": "pull_request:1770", + "right": "pull_request:2600", + "accept": false, + "reason": "#1770 updates stable-diffusion pipeline docs and examples, while #2600 adds Flax pipeline docs/examples; same broad subsystem, but different concrete documentation changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 125, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1711-2", + "nodes": [ + "pull_request:1711", + "pull_request:1714" + ], + "soft_pairs": [ + "pull_request:1711|pull_request:1714" + ], + "prepared_review_unit_hash": "32c01e9c5eaa4d16ce8a80cc387c7832f00f7caff74f419e17c0861b28313e69", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4252, + "estimated_input_tokens": 1063, + "estimated_eval_tokens": 2382 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4252, + "estimated_input_tokens": 1063, + "estimated_eval_tokens": 2382 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two Dreambooth PRs are near-identical duplicates of the same feature addition: interim generation logging in `train_dreambooth.py`. PR #1714 looks like the finalized version of PR #1711.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1714 is the cleaner canonical PR: it is the non-draft version and matches the same change set as #1711 with only trivial wording differences in the help text and identical file scope.", + "best_issue_reason": null, + "best_pr_reason": "PR #1714 is the best representative because it is the finalized, non-draft submission for the same Dreambooth interim generation logging change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1711", + "right": "pull_request:1714", + "accept": true, + "reason": "Same title, same target file, and essentially the same diff implementing interim generation logging; these are duplicate PRs for the same code-path change and could plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 126, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1803-2", + "nodes": [ + "pull_request:1803", + "pull_request:1935" + ], + "soft_pairs": [ + "pull_request:1803|pull_request:1935" + ], + "prepared_review_unit_hash": "042b32af098bb95988f6cf20edf6ede031575ad92afe29c782274acd7ae92d06", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6697, + "estimated_input_tokens": 1675, + "estimated_eval_tokens": 3606 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6697, + "estimated_input_tokens": 1675, + "estimated_eval_tokens": 3606 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests add OneFlow/nn.graph support and share a large amount of infrastructure, but they target different pipelines and concrete code paths: PR #1803 is for AltDiffusion, while PR #1935 is for stable diffusion inpainting. They are related feature branches, not duplicates.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "If a single representative is needed, #1935 is slightly better because its title and scope are narrower and more explicit about the target pipeline; #1803 is separate AltDiffusion work.", + "best_issue_reason": null, + "best_pr_reason": "#1935 is the best overall PR representative in this cluster because it is a clearer, more focused change description and still reflects the shared OneFlow graph-support theme.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1803", + "right": "pull_request:1935", + "accept": false, + "reason": "Reject: both PRs share OneFlow graph-support plumbing, but they implement support for different pipelines (AltDiffusion vs stable diffusion inpainting) and are not the same fix/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 127, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1870-2", + "nodes": [ + "pull_request:1870", + "pull_request:2434" + ], + "soft_pairs": [ + "pull_request:1870|pull_request:2434" + ], + "prepared_review_unit_hash": "49cb7bc176f5b7870ed0f98569156be9338b22cb4f8edd841449086199a614ae", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5245, + "estimated_input_tokens": 1312, + "estimated_eval_tokens": 2880 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5245, + "estimated_input_tokens": 1312, + "estimated_eval_tokens": 2880 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are both documentation PRs, but they target different topics and files. PR #1870 is a broad docs cleanup for multiple pipeline API pages, while PR #2434 adds information to the Pix2Pix Zero docs and controlling-generation guide. They do not look like the same underlying change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1870 is the broader, more central docs cleanup and is a better representative for the cluster than the narrowly scoped Pix2Pix Zero documentation update in #2434.", + "best_issue_reason": null, + "best_pr_reason": "PR #1870 is the strongest standalone representative because it touches many API docs and looks like the more general documentation change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1870", + "right": "pull_request:2434", + "accept": false, + "reason": "Different documentation changes with different scopes and files; one is a broad API docs cleanup, the other is a targeted Pix2Pix Zero/controlling-generation doc update. They do not fix the same concrete problem." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 128, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1893-2", + "nodes": [ + "pull_request:1893", + "pull_request:1948" + ], + "soft_pairs": [ + "pull_request:1893|pull_request:1948" + ], + "prepared_review_unit_hash": "2b04c8bf5080cb18f5a215df09fb5f214ffed0f7cd00bb5b810b8f65a9f069d0", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4364, + "estimated_input_tokens": 1091, + "estimated_eval_tokens": 2438 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4364, + "estimated_input_tokens": 1091, + "estimated_eval_tokens": 2438 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are related to DreamBooth multi-concept/multi-subject support, but they are not duplicates: one is a small multiprompt/example tweak, the other is a separate new research-project implementation with its own script and setup.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1948 is the strongest representative of the cluster because it is the merged, fuller multi-subject DreamBooth implementation with a dedicated training script and README, whereas 1893 is a smaller multiprompt README/example update.", + "best_issue_reason": null, + "best_pr_reason": "PR 1948 is the best overall representative: it is merged, more complete, and directly implements the multi-subject DreamBooth workflow rather than only documenting or lightly extending the existing example.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1893", + "right": "pull_request:1948", + "accept": false, + "reason": "Related topic, but different changes: 1893 is a multiprompt DreamBooth example/README tweak, while 1948 introduces a separate multi-subject research project with a new script and requirements. They do not look like the same underlying bug/change and would not plausibly merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 129, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1906-2", + "nodes": [ + "pull_request:1906", + "pull_request:1924" + ], + "soft_pairs": [ + "pull_request:1906|pull_request:1924" + ], + "prepared_review_unit_hash": "a7a02e58b281895b1ab4ba4e9d6430399d6ff38975666d998bdd30d645c7adfa", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6882, + "estimated_input_tokens": 1721, + "estimated_eval_tokens": 3698 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6882, + "estimated_input_tokens": 1721, + "estimated_eval_tokens": 3698 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are part of the same reproducibility effort, but they are not the same concrete change: #1906 swaps noise sampling across pipelines, while #1924 adds reproducibility docs, tests, and related helper updates. I would not deduplicate them.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "#1924 is the more complete and representative reproducibility PR: it adds the user-facing reproducibility guide plus supporting test/helper changes across pipelines.", + "best_issue_reason": null, + "best_pr_reason": "#1924 is the best overall PR in this cluster because it is broader and more self-contained, covering documentation, tests, and reproducibility utilities rather than only one implementation slice.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1906", + "right": "pull_request:1924", + "accept": false, + "reason": "Related by theme, but not the same underlying change. #1906 focuses on replacing random tensor generation in multiple pipeline code paths; #1924 focuses on reproducibility documentation and test/helper updates. They would not plausibly be merged as one PR without widening scope substantially." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 130, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2067-3", + "nodes": [ + "pull_request:2067", + "pull_request:2096", + "pull_request:2147" + ], + "soft_pairs": [ + "pull_request:2067|pull_request:2096", + "pull_request:2067|pull_request:2147", + "pull_request:2096|pull_request:2147" + ], + "prepared_review_unit_hash": "4b269ce556d1ad28cdb8a80db9d2f03d99dad3485ae49d8cead2a87b65c0d9e5", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7403, + "estimated_input_tokens": 1851, + "estimated_eval_tokens": 3958 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7403, + "estimated_input_tokens": 1851, + "estimated_eval_tokens": 3958 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs target the same legacy Stable Diffusion inpaint bug: tensor mask handling/resize to latent size plus the final-latents noise issue. PR 2147 is the best canonical choice because it is merged and includes tests; 2067 and 2096 look like earlier/alternate implementations of the same fix.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 2147 is the strongest canonical PR: it is merged, addresses the same legacy inpaint code path, and includes test coverage for the mask resize/noise fix.", + "best_issue_reason": null, + "best_pr_reason": "PR 2147 is the best representative because it is the merged, test-backed fix for the same concrete legacy inpaint bug.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2067", + "right": "pull_request:2096", + "accept": true, + "reason": "Both PRs fix the same concrete legacy inpaint pipeline bug: scaling tensor masks to latent size and preventing noise in the final latents. They target the same file and same code path, and could plausibly be consolidated into one PR." + }, + { + "left": "pull_request:2067", + "right": "pull_request:2147", + "accept": true, + "reason": "Same underlying bug and same legacy inpaint code path. PR 2147 appears to be a later, more complete version of the same fix, so they are duplicate candidates." + }, + { + "left": "pull_request:2096", + "right": "pull_request:2147", + "accept": true, + "reason": "Both PRs address the exact same legacy inpaint mask-resize/noise issue in the same pipeline. The implementation details differ slightly, but the concrete bug and fix scope match closely enough to merge as one PR." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: all three PR titles and previews point to the same legacy inpaint mask-resize/noise bug, and PR 2147 is the only merged one with tests. The soft-pair acceptances are also conservative enough given the shared file and near-identical bug scope." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 131, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2072-2", + "nodes": [ + "pull_request:2072", + "pull_request:2079" + ], + "soft_pairs": [ + "pull_request:2072|pull_request:2079" + ], + "prepared_review_unit_hash": "90d922c1e117e2ca2494c32daca511b27238f048073969834d821ffb53a534ff", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4744, + "estimated_input_tokens": 1186, + "estimated_eval_tokens": 2628 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4744, + "estimated_input_tokens": 1186, + "estimated_eval_tokens": 2628 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs address checkpoint resume behavior in training scripts, but they are not the same fix: #2072 is specific to textual inversion and gradient checkpointing state restoration, while #2079 is a broader resume-epoch correction across multiple training scripts and explicitly excludes textual inversion.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "#2079 is the broader, more representative resume-checkpoint fix across the training scripts, and its scope matches the cluster\u2019s common theme better than the textual-inversion-only patch.", + "best_issue_reason": null, + "best_pr_reason": "#2079 is the best representative PR for this cluster because it covers the general resume logic bug across multiple scripts and is the more central, higher-scope change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2072", + "right": "pull_request:2079", + "accept": false, + "reason": "Reject: these are related resume-checkpoint fixes, but they target different concrete code paths and are not plausibly one merged PR. #2072 is textual_inversion-only and about restoring state with gradient checkpointing; #2079 changes resume epoch handling across other scripts and explicitly excludes textual inversion." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 132, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2125-2", + "nodes": [ + "pull_request:2125", + "pull_request:2127" + ], + "soft_pairs": [ + "pull_request:2125|pull_request:2127" + ], + "prepared_review_unit_hash": "ac08870da3005bd2120892b1306b71613095c6ffeed5ff25762205268c235967", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4270, + "estimated_input_tokens": 1068, + "estimated_eval_tokens": 2392 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4270, + "estimated_input_tokens": 1068, + "estimated_eval_tokens": 2392 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs substantially overlap on the same checkpoint_merger.py logging/reporting change; PR #2127 is the tighter match, while #2125 also includes an extra dynamic_modules_utils logging tweak.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2127 is the more focused change set: it targets the same checkpoint_merger.py logging/reporting fix without the extra unrelated logging refactor present in #2125.", + "best_issue_reason": null, + "best_pr_reason": "PR #2127 is the best representative of the cluster because it most directly captures the shared underlying change in checkpoint_merger.py.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2125", + "right": "pull_request:2127", + "accept": true, + "reason": "Both PRs modify checkpoint_merger.py in the same logging/reporting area, including replacing print-style reporting with logger calls; they look like the same underlying enhancement and could plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 133, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-44-3", + "nodes": [ + "pull_request:218", + "pull_request:44", + "pull_request:67" + ], + "soft_pairs": [ + "pull_request:218|pull_request:44", + "pull_request:218|pull_request:67" + ], + "prepared_review_unit_hash": "0ace2f0c0a405b5bcaaeae25bfdcffc9bea3e162716f3e915c55889b982b73ff", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6543, + "estimated_input_tokens": 1636, + "estimated_eval_tokens": 3528 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6543, + "estimated_input_tokens": 1636, + "estimated_eval_tokens": 3528 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Three merged PRs all touch `src/diffusers/models/resnet.py`, but they clean up different dead-code or API-shape issues rather than fixing the same concrete defect. The overlaps are superficial, so neither soft pair should be merged as duplicates.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 67 is the best representative of the cluster because it is a focused resnet cleanup and removes multiple obsolete helpers/classes across related model files, making it the broadest and clearest cleanup change here.", + "best_issue_reason": null, + "best_pr_reason": "PR 67 is the strongest standalone PR in this set: it addresses a coherent code cleanup in the core resnet implementation and spans the most relevant files for that cleanup.", + "soft_edge_verdicts": [ + { + "left": "pull_request:218", + "right": "pull_request:44", + "accept": false, + "reason": "Both touch `resnet.py`, but 218 removes an obsolete `set_weight` helper while 44 changes `Normalize`'s signature and related comments. Different code paths and different change intent." + }, + { + "left": "pull_request:218", + "right": "pull_request:67", + "accept": false, + "reason": "218 deletes dead `set_weight` logic; 67 removes helper functions/classes like `Normalize`, `nonlinearity`, and `TimestepBlock`. Same file, but not the same underlying fix and not something that would naturally be one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 134, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2206-4", + "nodes": [ + "pull_request:2206", + "pull_request:2260", + "pull_request:2842", + "pull_request:2962" + ], + "soft_pairs": [ + "pull_request:2206|pull_request:2842", + "pull_request:2206|pull_request:2962", + "pull_request:2206|pull_request:2260", + "pull_request:2842|pull_request:2962" + ], + "prepared_review_unit_hash": "088e4ea398a2d8d0edb0a0e1044056e88ae3f209dcd53128c7a47adb91065e86", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 9353, + "estimated_input_tokens": 2339, + "estimated_eval_tokens": 4934 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 9353, + "estimated_input_tokens": 2339, + "estimated_eval_tokens": 4934 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The packet points to two related-but-distinct PR themes: an img2img prompt-input-check cleanup (2206/2260) and a prompt_embeds-only support change in other Stable Diffusion pipelines (2842/2962). Only the 2842\u21942962 pair has packet support for acceptance; the img2img pair should stay conservative unless stronger evidence is available.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "2206 is the clearest representative of the img2img prompt-input-check change: it is merged, directly edits the relevant pipeline file, and has the most direct title/diff match for that specific fix.", + "best_issue_reason": null, + "best_pr_reason": "2962 is the strongest global representative of the prompt_embeds-only support theme because it has the clearest problem statement and substantial aligned evidence with 2842; the cluster is mixed, so this should be read as a representative, not a duplicate claim.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2206", + "right": "pull_request:2842", + "accept": false, + "reason": "Same general Stable Diffusion area, but different pipeline code paths and different concrete bugs; the packet only supports loose similarity." + }, + { + "left": "pull_request:2206", + "right": "pull_request:2962", + "accept": false, + "reason": "Different code paths (img2img vs k-diffusion SD) and only thematic overlap, so this is not the same underlying change." + }, + { + "left": "pull_request:2206", + "right": "pull_request:2260", + "accept": false, + "reason": "Strong overlap in file and theme, but the packet marks this pair non-deterministic; that is not enough to call them definite duplicates." + }, + { + "left": "pull_request:2842", + "right": "pull_request:2962", + "accept": true, + "reason": "Both changes implement prompt_embeds-only calling support for Stable Diffusion pipelines; despite different files, they look like the same concrete API-relaxation fix." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The output is not conservative enough relative to the packet. Two soft-edge verdicts conflict with the packet\u2019s deterministic hints: 2206\u21942260 is marked deterministic_accept=false, so calling them definite duplicates overstates the evidence; 2842\u21942962 is marked deterministic_accept=true, so rejecting that pair is too conservative. The summary also goes beyond the packet by asserting canonical/duplicate relationships that are not explicitly established." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 135, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2217-2", + "nodes": [ + "pull_request:2217", + "pull_request:2259" + ], + "soft_pairs": [ + "pull_request:2217|pull_request:2259" + ], + "prepared_review_unit_hash": "94ea7a00927ce14ac5b47b5fe74f8de5bc9215f35030af08d65b22ac14efd68b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3210, + "estimated_input_tokens": 803, + "estimated_eval_tokens": 1862 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3210, + "estimated_input_tokens": 803, + "estimated_eval_tokens": 1862 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests have the same title and appear to implement the same unconditional image generation argument change; PR #2259 is the merged, more complete version and is the best canonical PR.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2259 is the merged implementation of the feature, with code and README changes across the relevant unconditional image generation paths; PR #2217 appears to be an earlier duplicate/unmerged attempt.", + "best_issue_reason": null, + "best_pr_reason": "PR #2259 is the strongest representative because it is merged and includes the concrete implementation updates, not just the proposal.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2217", + "right": "pull_request:2259", + "accept": true, + "reason": "Same feature title and same underlying change: add center-crop/random-flip args for unconditional image generation. PR #2259 is the merged realization of the same fix/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 136, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2281-2", + "nodes": [ + "pull_request:2281", + "pull_request:2318" + ], + "soft_pairs": [ + "pull_request:2281|pull_request:2318" + ], + "prepared_review_unit_hash": "80feda53ac44d461ab4e83cc82baf01b49f9e6c60d4d018d8623b1bc00a74050", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 7188, + "estimated_input_tokens": 1797, + "estimated_eval_tokens": 3850 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 7188, + "estimated_input_tokens": 1797, + "estimated_eval_tokens": 3850 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are related checkpoint-loading work for Stable Diffusion, but they are not close enough to treat as duplicates: PR 2281 is a narrower, unmerged stable-diffusion-specific refactor around `from_checkpoint`, while PR 2318 is the merged, broader `FromCkptMixin`/`from_ckpt` implementation with docs and conversion support.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 2318 is the stronger canonical PR because it is merged and represents the broader, finalized checkpoint-loading mixin implementation rather than the narrower earlier refactor in PR 2281.", + "best_issue_reason": null, + "best_pr_reason": "PR 2318 is the best representative of the cluster because it is the merged implementation that generalizes checkpoint loading across pipelines and includes the supporting docs/conversion changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2281", + "right": "pull_request:2318", + "accept": false, + "reason": "Reject: both concern loading pipelines from checkpoints, but they differ in API shape and scope. PR 2281 adds a stable-diffusion-only `from_checkpoint` refactor, while PR 2318 adds a broader `FromCkptMixin`/`from_ckpt` feature plus docs and conversion support. This looks more like a follow-up/replacement than the same concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 137, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-302-2", + "nodes": [ + "pull_request:2313", + "pull_request:302" + ], + "soft_pairs": [ + "pull_request:2313|pull_request:302" + ], + "prepared_review_unit_hash": "b6bd3f9155d38f66de489b313c4ba274067d517321f0b419c7df69d16b7beb74", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4108, + "estimated_input_tokens": 1027, + "estimated_eval_tokens": 2310 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4108, + "estimated_input_tokens": 1027, + "estimated_eval_tokens": 2310 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are related by the general theme of \u201cfast tests,\u201d but they are not duplicates: PR #302 adds the fast pipeline test suite itself, while PR #2313 only updates CI workflow to run fast CPU tests on main.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #302 is the core implementation change: it adds the fast pipeline tests in tests/test_pipelines.py. PR #2313 is a separate CI/workflow follow-up that schedules fast CPU tests on main, so it is related but not the same underlying change.", + "best_issue_reason": null, + "best_pr_reason": "PR #302 is the best representative of the cluster because it contains the substantive test implementation rather than only workflow plumbing.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2313", + "right": "pull_request:302", + "accept": false, + "reason": "Different artifacts and code paths: #2313 changes the GitHub Actions workflow, while #302 adds fast tests in the test suite. They are related, but not the same bug/change and would not be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 138, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2417-2", + "nodes": [ + "pull_request:2417", + "pull_request:2418" + ], + "soft_pairs": [ + "pull_request:2417|pull_request:2418" + ], + "prepared_review_unit_hash": "bcd0ad5527f1b435b661c837fad2f3dbaeceff10ab3c106f2b4d519f757cccfd", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4032, + "estimated_input_tokens": 1008, + "estimated_eval_tokens": 2272 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4032, + "estimated_input_tokens": 1008, + "estimated_eval_tokens": 2272 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs target the same bug in `get_indices` in the attend-and-excite pipeline: the token/index mapping was reversed. PR #2418 is the merged, slightly broader version with the same code fix plus an example update, so it is the best canonical PR.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2418 is the merged change and contains the same core fix as #2417, with an added doc/example update.", + "best_issue_reason": null, + "best_pr_reason": "PR #2418 is the best representative because it is merged and fixes the exact same function-level bug as #2417.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2417", + "right": "pull_request:2418", + "accept": true, + "reason": "Same underlying code-path bug in `get_indices` on the same file; the diffs differ only by the example/doc addition in #2418, so these could plausibly be one PR." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the diffs: both PRs change the same `get_indices` mapping in the same file, and #2418 adds only an example/doc snippet on top of that fix. The soft-edge acceptance is conservative enough because the two changes are mergeable into a single bugfix PR." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 139, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2450-2", + "nodes": [ + "pull_request:2450", + "pull_request:2451" + ], + "soft_pairs": [ + "pull_request:2450|pull_request:2451" + ], + "prepared_review_unit_hash": "bfb87f9ec2b71a13393a64e0f97bf89480deeba62f954471fd5e298043933284", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4233, + "estimated_input_tokens": 1059, + "estimated_eval_tokens": 2374 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4233, + "estimated_input_tokens": 1059, + "estimated_eval_tokens": 2374 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests add the same `--save_every` option to the DreamBooth training script and insert the same periodic save pipeline logic in the same file, so they are duplicates of the same change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2451 is the better canonical PR because it covers the same code change as #2450 but has more discussion/review activity, making it the more vetted representative.", + "best_issue_reason": null, + "best_pr_reason": "PR #2451 is the best PR to keep as the representative duplicate because it implements the same concrete DreamBooth `save_every` change and appears to be the more reviewed of the two.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2450", + "right": "pull_request:2451", + "accept": true, + "reason": "Same file, same added CLI flag, and same periodic save behavior in the same code path; these are the same underlying PR change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 140, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2527-2", + "nodes": [ + "pull_request:2527", + "pull_request:2537" + ], + "soft_pairs": [ + "pull_request:2527|pull_request:2537" + ], + "prepared_review_unit_hash": "0595f7847f262b1ed43264c4e473f94692b0469fa4b947a22a6d81dcd3c9b960", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4285, + "estimated_input_tokens": 1072, + "estimated_eval_tokens": 2400 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4285, + "estimated_input_tokens": 1072, + "estimated_eval_tokens": 2400 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are both merged docs PRs that move/rename training content, but they cover different topics and pages: LoRA vs text-to-image. They only overlap in a shared toctree edit, so they are not duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: 2527 and 2537 are separate documentation migrations for different training guides, not the same underlying change.", + "best_issue_reason": null, + "best_pr_reason": "2527 is the cleaner representative only because it is a tighter, self-contained docs move; 2537 is a separate text2image docs rewrite and should not be merged with it.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2527", + "right": "pull_request:2537", + "accept": false, + "reason": "Different documentation targets and content (LoRA training vs text-to-image training). Shared toctree changes are too broad to treat as the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 141, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2547-3", + "nodes": [ + "pull_request:2547", + "pull_request:2576", + "pull_request:2592" + ], + "soft_pairs": [ + "pull_request:2547|pull_request:2576", + "pull_request:2576|pull_request:2592" + ], + "prepared_review_unit_hash": "dd36dae3d2aecb12b1c3446721cd8d2e9d049e540ff2b9a152c8a63e9ebceb58", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6467, + "estimated_input_tokens": 1617, + "estimated_eval_tokens": 3490 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6467, + "estimated_input_tokens": 1617, + "estimated_eval_tokens": 3490 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three separate documentation pull requests for different training topics. They share a similar docs-migration pattern, but they are not the same underlying change, so the soft similarity links should not be treated as duplicates.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2547 is the best representative only by being the earliest and most substantial of the docs-move updates, but it is still distinct from the other PRs.", + "best_issue_reason": null, + "best_pr_reason": "PR #2547 is the most central representative of the cluster because it has the broadest discussion/review and appears first in the sequence of similar docs updates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2547", + "right": "pull_request:2576", + "accept": false, + "reason": "Both are docs-only training-page rewrites, but they target different subjects and files: DreamBooth vs Textual Inversion. Similar structure is not enough to treat them as the same change." + }, + { + "left": "pull_request:2576", + "right": "pull_request:2592", + "accept": false, + "reason": "These update different training docs (Textual Inversion vs Unconditional image generation) with different content and paths. They are related cleanup work, not one concrete duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 142, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2621-6", + "nodes": [ + "pull_request:2621", + "pull_request:4084", + "pull_request:4131", + "pull_request:4138", + "pull_request:4861", + "pull_request:5638" + ], + "soft_pairs": [ + "pull_request:2621|pull_request:4861", + "pull_request:4084|pull_request:4861", + "pull_request:4131|pull_request:4138", + "pull_request:4131|pull_request:5638", + "pull_request:4861|pull_request:5638" + ], + "prepared_review_unit_hash": "97487a0bf8ec069d6623f3859b9eb0b6331b01c059c7e576ddbf60298c235beb", + "component_budget": { + "node_count": 6, + "item_count": 6, + "soft_pair_count": 5, + "serialized_chars": 15909, + "estimated_input_tokens": 3978, + "estimated_eval_tokens": 8212 + }, + "budget": { + "node_count": 6, + "item_count": 6, + "soft_pair_count": 5, + "serialized_chars": 15909, + "estimated_input_tokens": 3978, + "estimated_eval_tokens": 8212 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The cluster mixes two real themes: the initial AutoPipeline feature work and later AutoPipeline ControlNet-from-pipe fixes, plus a couple of unrelated ControlNet/loader PRs that only overlap loosely by subsystem. Only the AutoPipeline foundation PRs look like the same underlying change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4138 is the best canonical PR: it is the merged, comprehensive AutoPipeline implementation and documentation update, while PR 4131 is an earlier draft/superset precursor.", + "best_issue_reason": null, + "best_pr_reason": "PR 4138 is the strongest representative overall because it is the merged feature PR with the broadest and most complete implementation of the AutoPipeline change set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2621", + "right": "pull_request:4861", + "accept": false, + "reason": "Different changes: 2621 adds MultiControlNet support in a ControlNet pipeline, while 4861 updates AutoPipeline.from_pipe behavior. Same broad area, but not the same concrete bug or change." + }, + { + "left": "pull_request:4084", + "right": "pull_request:4861", + "accept": false, + "reason": "Different scopes: 4084 adds single-file loading for ControlNet/VAE, whereas 4861 fixes AutoPipeline.from_pipe to switch between pipelines. They do not fix the same code path." + }, + { + "left": "pull_request:4131", + "right": "pull_request:4138", + "accept": true, + "reason": "Same underlying feature family: 4131 is a draft AutoPipeline export/initialization PR, and 4138 is the fuller AutoPipeline implementation. They are plausibly merged into one PR for the same feature." + }, + { + "left": "pull_request:4131", + "right": "pull_request:5638", + "accept": false, + "reason": "4131 is the initial AutoPipeline feature work; 5638 is a later narrow bug fix in AutoPipeline.from_pipe for existing ControlNet pipelines. Related, but not the same concrete change." + }, + { + "left": "pull_request:4861", + "right": "pull_request:5638", + "accept": false, + "reason": "Both touch AutoPipeline.from_pipe, but 4861 adds ControlNet counterpart support and 5638 fixes name-replacement edge cases. The latter is a follow-up bug fix, not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 143, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2723-2", + "nodes": [ + "pull_request:2723", + "pull_request:2779" + ], + "soft_pairs": [ + "pull_request:2723|pull_request:2779" + ], + "prepared_review_unit_hash": "6fbc1437e282ef52468317aa2a29be438a85e5f8c25eedc00a3cc5475fed2bde", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4392, + "estimated_input_tokens": 1098, + "estimated_eval_tokens": 2452 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4392, + "estimated_input_tokens": 1098, + "estimated_eval_tokens": 2452 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are only superficially related: both touch community CLIP-guided Stable Diffusion examples, but one adds CLIP guidance for img2img while the other adds DPMSolverMultistepScheduler support. They do not look like the same underlying change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 2779 is the better anchor if one PR must represent the cluster: it is a focused scheduler-support update applied across the CLIP-guided community pipelines and has more review activity.", + "best_issue_reason": null, + "best_pr_reason": "PR 2779 is the stronger standalone PR candidate because it makes a concrete, self-contained code-path change across the related example files rather than introducing a separate img2img feature.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2723", + "right": "pull_request:2779", + "accept": false, + "reason": "Different changes: 2723 adds CLIP guidance for img2img, while 2779 adds DPMSolverMultistepScheduler support to CLIP-guided pipelines. Shared filename alone is not enough to treat them as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 144, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-926-2", + "nodes": [ + "pull_request:2771", + "pull_request:926" + ], + "soft_pairs": [ + "pull_request:2771|pull_request:926" + ], + "prepared_review_unit_hash": "6588bf855d02e037647c7e6b46b97409806eb0526f62ef79a90ced2324caecfb", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4740, + "estimated_input_tokens": 1185, + "estimated_eval_tokens": 2626 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4740, + "estimated_input_tokens": 1185, + "estimated_eval_tokens": 2626 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are MPS-related but not duplicates: PR 926 is the broader PyTorch 1.13 MPS support update, while PR 2771 later removes the warmup-pass workaround and updates docs/tests. They do not look like the same underlying code change.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 926 is the better canonical PR because it introduces the broader MPS compatibility changes and code-path adjustments, whereas PR 2771 is a narrower follow-up focused on removing warmup passes and related documentation/test updates.", + "best_issue_reason": null, + "best_pr_reason": "PR 926 is the best representative of the cluster since it is the more substantial and foundational MPS change; PR 2771 is more of a later cleanup/refinement rather than the core fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2771", + "right": "pull_request:926", + "accept": false, + "reason": "They address different MPS problems: 926 adds PyTorch 1.13 MPS support and associated code/docs changes, while 2771 removes the warmup-pass workaround and adjusts tests/docs. Shared subsystem alone is not enough to treat them as the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 145, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2918-2", + "nodes": [ + "pull_request:2918", + "pull_request:3594" + ], + "soft_pairs": [ + "pull_request:2918|pull_request:3594" + ], + "prepared_review_unit_hash": "cd067c883e8a41c1d6b6ef199475e573ed6d42301646d7e31c2d86b57be44e9b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4699, + "estimated_input_tokens": 1175, + "estimated_eval_tokens": 2606 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4699, + "estimated_input_tokens": 1175, + "estimated_eval_tokens": 2606 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two related but distinct LoRA pull requests: PR #2918 adds limited LoRA support for the text encoder, while PR #3594 adds a PyTorch 2.0-specific LoRA attention processor and DreamBooth plumbing. The shared `loaders.py` touch is incidental, not the same underlying change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2918 is the broader, earlier LoRA support change and is the better representative of the cluster\u2019s shared theme.", + "best_issue_reason": null, + "best_pr_reason": "PR #2918 is the best single representative because it covers the foundational text-encoder LoRA support, whereas PR #3594 is a narrower PT 2.0 attention-processor extension.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2918", + "right": "pull_request:3594", + "accept": false, + "reason": "Different code-path problems: #2918 enables limited LoRA support for the text encoder, while #3594 adds LoRAAttnProcessor2_0 / PyTorch 2.0 attention support. They overlap in LoRA infrastructure but are not the same fix and would not be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 146, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2963-3", + "nodes": [ + "pull_request:2963", + "pull_request:3492", + "pull_request:3992" + ], + "soft_pairs": [ + "pull_request:2963|pull_request:3492", + "pull_request:3492|pull_request:3992" + ], + "prepared_review_unit_hash": "dbfbed88c00b3c87c79596c36423e0602f6290afeaaf87b695795d486810a5d5", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8356, + "estimated_input_tokens": 2089, + "estimated_eval_tokens": 4434 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8356, + "estimated_input_tokens": 2089, + "estimated_eval_tokens": 4434 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster mixes three separate PRs: a UniDiffuser pipeline addition, a Consistency Models pipeline addition, and a later WIP Consistency Models distillation example. Only the Consistency Models pipeline PR is a strong representative of the cluster theme; the others are too different to merge as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3492 is the best canonical PR because it is the main merged implementation for Consistency Models, adding the pipeline, scheduler, docs, and tests as a coherent change.", + "best_issue_reason": null, + "best_pr_reason": "PR #3492 is the best overall PR for this cluster: it is the most complete, merged code change and clearly represents the core artifact among the related Consistency Models items.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2963", + "right": "pull_request:3492", + "accept": false, + "reason": "Different underlying changes: UniDiffuser vs. Consistency Models. They only overlap on generic docs/__init__ wiring, not the same code-path or feature." + }, + { + "left": "pull_request:3492", + "right": "pull_request:3992", + "accept": false, + "reason": "The first PR adds the Consistency Models pipeline/scheduler; the second is a separate WIP training/distillation example that merely reuses the scheduler. They are not the same concrete fix/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 147, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3024-2", + "nodes": [ + "pull_request:3024", + "pull_request:3048" + ], + "soft_pairs": [ + "pull_request:3024|pull_request:3048" + ], + "prepared_review_unit_hash": "4819770414e8e2c6480d10ad30acc1a354c5055110df21d77a9791810dfede54", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4519, + "estimated_input_tokens": 1130, + "estimated_eval_tokens": 2516 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4519, + "estimated_input_tokens": 1130, + "estimated_eval_tokens": 2516 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are related by time-embedding handling in UNet code, but they are not duplicates: #3024 adds `skip_time_act` and related output-scale behavior in ResNet blocks, while #3048 adds a separate configurable activation for time embeddings in UNet conditioning. Same neighborhood, different changes.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR for duplication: #3024 changes ResNet time-activation skipping/output scaling, while #3048 implements a distinct UNet time-embedding activation option.", + "best_issue_reason": null, + "best_pr_reason": "#3048 is the better representative of the shared theme because it is a focused, user-facing time-embedding activation change; #3024 is broader and includes additional behavior beyond activation.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3024", + "right": "pull_request:3048", + "accept": false, + "reason": "They touch related time-embedding paths, but implement different features in different code paths: #3024 adds `skip_time_act`/output-scale behavior in ResNet blocks, while #3048 adds a separate UNet time-embedding activation option. They would not plausibly collapse into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 148, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3083-2", + "nodes": [ + "pull_request:3083", + "pull_request:4180" + ], + "soft_pairs": [ + "pull_request:3083|pull_request:4180" + ], + "prepared_review_unit_hash": "5032ccf868ac90f794e737703fdb1b9c0a5f920cf0fb6adb37e327c2701d9e40", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3173, + "estimated_input_tokens": 794, + "estimated_eval_tokens": 1844 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3173, + "estimated_input_tokens": 794, + "estimated_eval_tokens": 1844 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two unrelated ControlNet PRs: one updates a Flax docstring example, the other removes an unnecessary safety checker argument in a training example. They do not look like the same underlying change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4180 is the more concrete, code-path-adjacent change: it edits the ControlNet SDXL training example. PR 3083 is only a docstring example tweak.", + "best_issue_reason": null, + "best_pr_reason": "PR 4180 is the best representative of the cluster because it is the more substantive and implementation-adjacent ControlNet change; PR 3083 is just documentation/example cleanup.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3083", + "right": "pull_request:4180", + "accept": false, + "reason": "Different changes in different files and contexts: a Flax pipeline docstring revision vs. removal of `safety_checker` in a training script. Same broad subsystem, but not the same bug or mergeable change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 149, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3084-2", + "nodes": [ + "pull_request:3084", + "pull_request:3459" + ], + "soft_pairs": [ + "pull_request:3084|pull_request:3459" + ], + "prepared_review_unit_hash": "62b4e52d8cdbeb9e8e9bcd96d58c00a228dfd9b47f17a615efff67bb5c90f92a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4274, + "estimated_input_tokens": 1069, + "estimated_eval_tokens": 2394 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4274, + "estimated_input_tokens": 1069, + "estimated_eval_tokens": 2394 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests implement the same Min-SNR weighting addition in the same LoRA training script with near-identical diffs; PR #3459 is the merged version, so this looks like a duplicate/replacement of PR #3084.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3459 is the merged PR and matches the same code change as #3084, so it is the better canonical pull request.", + "best_issue_reason": null, + "best_pr_reason": "PR #3459 is the strongest representative because it is merged and appears to contain the same Min-SNR LoRA training-script update as #3084.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3084", + "right": "pull_request:3459", + "accept": true, + "reason": "Same underlying change: both add the `snr_gamma` option and `compute_snr` logic to `examples/text_to_image/train_text_to_image_lora.py`, with essentially identical diff context." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 150, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3308-3", + "nodes": [ + "pull_request:3308", + "pull_request:3783", + "pull_request:3845" + ], + "soft_pairs": [ + "pull_request:3308|pull_request:3783", + "pull_request:3308|pull_request:3845", + "pull_request:3783|pull_request:3845" + ], + "prepared_review_unit_hash": "97e671eecc243ee84105f30fd2fff9b4cac43703fe71574987d3f7cda48caff2", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 8061, + "estimated_input_tokens": 2016, + "estimated_eval_tokens": 4288 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 8061, + "estimated_input_tokens": 2016, + "estimated_eval_tokens": 4288 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs are about Kandinsky, but they are not the same change: #3308 adds Kandinsky 2.1 support, #3783 adjusts the text-to-image scheduler/docs for DDPM, and #3845 fixes img2img variance handling for DDPM. They are related follow-ups in the same area, not duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "#3308 is the best canonical PR because it is the main umbrella implementation for Kandinsky 2.1 and establishes the codepath that the later, narrower follow-up fixes build on.", + "best_issue_reason": null, + "best_pr_reason": "#3308 is the broadest and most representative change in the cluster; #3783 and #3845 are smaller incremental fixes scoped to specific Kandinsky pipeline behaviors rather than the core feature addition.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3308", + "right": "pull_request:3783", + "accept": false, + "reason": "#3308 adds the Kandinsky 2.1 feature set, while #3783 only changes the scheduler/docs for one pipeline path; related, but not the same underlying change." + }, + { + "left": "pull_request:3308", + "right": "pull_request:3845", + "accept": false, + "reason": "#3308 is the initial Kandinsky implementation, whereas #3845 is a narrow img2img DDPM variance refactor/fix; these are different concrete code changes." + }, + { + "left": "pull_request:3783", + "right": "pull_request:3845", + "accept": false, + "reason": "Both mention DDPM/Kandinsky, but one targets the text-to-image scheduler and the other targets img2img variance handling; different code paths, so not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 151, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3330-3", + "nodes": [ + "pull_request:3330", + "pull_request:3373", + "pull_request:3426" + ], + "soft_pairs": [ + "pull_request:3330|pull_request:3373", + "pull_request:3373|pull_request:3426" + ], + "prepared_review_unit_hash": "394d0a74e2404d0b160933a2da484282c42b0c315e4a402b230a2c956dd919f6", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7224, + "estimated_input_tokens": 1806, + "estimated_eval_tokens": 3868 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7224, + "estimated_input_tokens": 1806, + "estimated_eval_tokens": 3868 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are all part of the Kandinsky feature rollout, but they implement different pieces: a decoder, an image encoder/multiclip model, and an img2img pipeline. They are related dependencies, not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 3426 is the most complete end-user feature PR in this cluster: it adds the Kandinsky img2img pipeline plus the necessary exports, dummy objects, and tests. The others are supporting component additions rather than the main user-facing change.", + "best_issue_reason": null, + "best_pr_reason": "PR 3426 is the strongest representative of the cluster because it delivers a coherent, mergeable Kandinsky capability with end-to-end pipeline integration and test coverage.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3330", + "right": "pull_request:3373", + "accept": false, + "reason": "They touch the same Kandinsky area, but one adds the decoder and the other adds the image encoder/multiclip model. These are different components, not the same fix or change." + }, + { + "left": "pull_request:3373", + "right": "pull_request:3426", + "accept": false, + "reason": "PR 3373 adds the image encoder/multiclip model, while PR 3426 adds the img2img pipeline and packaging/tests. They are related dependencies, not one underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 152, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3414-2", + "nodes": [ + "pull_request:3414", + "pull_request:3415" + ], + "soft_pairs": [ + "pull_request:3414|pull_request:3415" + ], + "prepared_review_unit_hash": "a9bd58c3ada49e0769151c7dbb3f0c8f4b677f850a16855ae3cf2c6fcdce823d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3783, + "estimated_input_tokens": 946, + "estimated_eval_tokens": 2148 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3783, + "estimated_input_tokens": 946, + "estimated_eval_tokens": 2148 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two pull requests are closely related cleanup changes around CI dependency installation, but they are not the same concrete fix: each edits a different workflow file and one of them also changes install commands rather than only removing source installs.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3415 is the better canonical representative because it makes the broader workflow change: it updates the fast test workflow and normalizes the install commands, whereas #3414 is a narrower removal-only edit in a different workflow.", + "best_issue_reason": null, + "best_pr_reason": "PR #3415 is the best overall representative of the cluster because it covers the more complete CI-side adjustment and has the clearest end-state for the dependency-install change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3414", + "right": "pull_request:3415", + "accept": false, + "reason": "Same general theme, but different workflow files and different exact edits; these are not the same underlying code-path change and would not naturally be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 153, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3435-2", + "nodes": [ + "pull_request:3435", + "pull_request:3508" + ], + "soft_pairs": [ + "pull_request:3435|pull_request:3508" + ], + "prepared_review_unit_hash": "0bb0e1c420eff651049e316faef7f101c1d7dd5b59a1ea70e094e1aa655b4743", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4405, + "estimated_input_tokens": 1102, + "estimated_eval_tokens": 2460 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4405, + "estimated_input_tokens": 1102, + "estimated_eval_tokens": 2460 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related Stable Diffusion community example PRs, but they target different variants of the reference-image feature: one is reference-only control, the other adds a ControlNet reference example and doc updates. They are not the same underlying change.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3508 is the broader, more representative change because it introduces the ControlNet reference example in addition to refining the existing reference docs, whereas #3435 is just the initial reference-only example.", + "best_issue_reason": null, + "best_pr_reason": "PR #3508 is the best standalone PR here because it is the more complete follow-up and covers a clearer, broader feature slice of the reference pipeline examples.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3435", + "right": "pull_request:3508", + "accept": false, + "reason": "Related feature area, but not the same concrete change: #3435 adds the reference-only example, while #3508 adds a ControlNet reference example and adjusts docs. They could not plausibly be merged into one single duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 154, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3437-2", + "nodes": [ + "pull_request:3437", + "pull_request:3756" + ], + "soft_pairs": [ + "pull_request:3437|pull_request:3756" + ], + "prepared_review_unit_hash": "44a286a39298fca201ab91ef06587190f876409166c3d2f951304232175f0ba7", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4749, + "estimated_input_tokens": 1188, + "estimated_eval_tokens": 2632 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4749, + "estimated_input_tokens": 1188, + "estimated_eval_tokens": 2632 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two related PRs both address Kohya-ss style LoRA loading, but they are not the same change: one is a merged limited-capacity support release, the other is an unfinished draft aiming for unrestricted loading.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3437 is the better canonical PR: it is merged, has broader completion across loader/docs/tests, and represents the accepted implementation for Kohya-ss-style LoRA support.", + "best_issue_reason": null, + "best_pr_reason": "PR #3437 is the best PR in the cluster because it is merged and fully realized; PR #3756 is a draft and appears to be a separate, more ambitious follow-up rather than the same concrete fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3437", + "right": "pull_request:3756", + "accept": false, + "reason": "Both discuss Kohya-ss LoRA loading, but #3437 is a limited-capacity implementation while #3756 is a draft for unrestricted loading with different scope and code paths. They are related, not duplicate enough to merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 155, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3479-2", + "nodes": [ + "pull_request:3479", + "pull_request:3535" + ], + "soft_pairs": [ + "pull_request:3479|pull_request:3535" + ], + "prepared_review_unit_hash": "a985963d9e0b1896b41c7d1799c55ae151b44bf647f867c35a663ccce447f32d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4153, + "estimated_input_tokens": 1039, + "estimated_eval_tokens": 2334 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4153, + "estimated_input_tokens": 1039, + "estimated_eval_tokens": 2334 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged PRs that apply the same broadcast-assignment fix pattern, but in different model families and code paths: 1D up/downsampling vs 2D ResNet blocks. They are related in style, not duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "If one PR must represent the cluster, 3535 is the better anchor because it has the clearer generalized title and fixes both 2D forward paths; 3479 is a separate 1D implementation of the same pattern.", + "best_issue_reason": null, + "best_pr_reason": "3535 is the best representative PR: it cleanly describes the broadcast-assignment fix and covers both affected ResNet paths. 3479 is narrower and belongs to a different 1D block.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3479", + "right": "pull_request:3535", + "accept": false, + "reason": "Same broad fix pattern, but different concrete code paths and tensor ranks: 1D up/downsample blocks in unet_1d_blocks.py versus 2D ResNet blocks in resnet.py. They are not the same underlying change and would not plausibly merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 156, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-361-2", + "nodes": [ + "pull_request:361", + "pull_request:727" + ], + "soft_pairs": [ + "pull_request:361|pull_request:727" + ], + "prepared_review_unit_hash": "1050cf547764823651539a32769efcb98e26a6f8f9fa436fcab747e3f77d7547", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3094, + "estimated_input_tokens": 774, + "estimated_eval_tokens": 1804 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3094, + "estimated_input_tokens": 774, + "estimated_eval_tokens": 1804 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests are about lowering memory use during loading via accelerate, but they target different code paths and different issue trackers: PR #361 adds accelerate/device_map support for model loading, while PR #727 is a later pipeline-loading request with no diff shown. They look related thematically, not like the same PR-worthy change.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #361 is the stronger canonical PR: it is merged, has a concrete diff, and implements the accelerate-based loading change directly in code. PR #727 has no diff preview and appears to be a separate, unmerged pipeline-loading request.", + "best_issue_reason": null, + "best_pr_reason": "PR #361 is the best representative because it contains the actual implementation and is the only merged change with concrete code modifications.", + "soft_edge_verdicts": [ + { + "left": "pull_request:361", + "right": "pull_request:727", + "accept": false, + "reason": "Same broad theme (accelerate memory reduction), but different targets and code paths: model loading vs pipeline loading. Different explicit issue links also suggest separate work, so they should not be merged as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 157, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3668-2", + "nodes": [ + "pull_request:3668", + "pull_request:3875" + ], + "soft_pairs": [ + "pull_request:3668|pull_request:3875" + ], + "prepared_review_unit_hash": "e3143c3e407d66feaf95c025ac43ec64e0907306f1b0bb991ad5026d0baa2892", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4909, + "estimated_input_tokens": 1228, + "estimated_eval_tokens": 2712 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4909, + "estimated_input_tokens": 1228, + "estimated_eval_tokens": 2712 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two LDM3D pull requests: the first adds the feature and docs, while the second adjusts the image-depth conversion for newer checkpoints. They are related but not the same change.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 3668 is the foundational LDM3D implementation, adding the pipeline, docs, exports, and tests; it best anchors the cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR 3668 is the most representative artifact for this cluster because it introduces the underlying LDM3D feature rather than a later compatibility adjustment.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3668", + "right": "pull_request:3875", + "accept": false, + "reason": "Both target LDM3D, but 3668 is the initial feature PR and 3875 is a later checkpoint-compatibility update in the same area; they are not the same concrete code change and would not plausibly merge as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 158, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3692-2", + "nodes": [ + "pull_request:3692", + "pull_request:4444" + ], + "soft_pairs": [ + "pull_request:3692|pull_request:4444" + ], + "prepared_review_unit_hash": "4635b77db6bf4ecbf2c85b8fafe5d4c4cf1432f6fdd833fbefc1f0074d8aed44", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5938, + "estimated_input_tokens": 1485, + "estimated_eval_tokens": 3226 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5938, + "estimated_input_tokens": 1485, + "estimated_eval_tokens": 3226 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related by image-processing refactors in diffusers, but they address different changes: one is a narrow deprecation notice for upscale pipeline preprocess helpers, the other is a broad VaeImageProcessor refactor across many pipelines and mask/image handling. They should not be clustered as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4444 is the more central representative of the cluster because it introduces the VaeImageProcessor-based refactor across many pipelines and the shared image-processing API surface.", + "best_issue_reason": null, + "best_pr_reason": "PR #4444 is the best overall representative since it has the broader, more substantive change set and touches the shared code path that the other PR only overlaps with indirectly.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3692", + "right": "pull_request:4444", + "accept": false, + "reason": "They are not the same concrete change: #3692 only adds deprecation warnings in the x4 upscaler preprocess helper, while #4444 refactors mask/image preparation to use VaeImageProcessor across many pipelines." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 159, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3751-3", + "nodes": [ + "pull_request:3751", + "pull_request:4939", + "pull_request:4941" + ], + "soft_pairs": [ + "pull_request:3751|pull_request:4939", + "pull_request:4939|pull_request:4941" + ], + "prepared_review_unit_hash": "4a2c9e8596e926aa8d93e75258ae20984e70c8e2fdb07ed6364410126ccf920e", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6201, + "estimated_input_tokens": 1551, + "estimated_eval_tokens": 3358 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6201, + "estimated_input_tokens": 1551, + "estimated_eval_tokens": 3358 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are related only at a very broad Diffusers/pipeline level, but they fix different things: LoRA loading for StableDiffusionKDiffusionPipeline, LoRA loading for StableDiffusionXLAdapterPipeline, and negative micro-conditioning support for the same adapter pipeline. No duplicate or mergeable same-bug pair is present.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the three PRs are distinct feature changes, not the same underlying fix.", + "best_issue_reason": null, + "best_pr_reason": "PR 4939 is the most self-contained functional change, but it is still separate from the other two and not a duplicate representative.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3751", + "right": "pull_request:4939", + "accept": false, + "reason": "Different pipelines and different features: LoRA support for StableDiffusionKDiffusionPipeline vs LoRA loading for StableDiffusionXLAdapterPipeline." + }, + { + "left": "pull_request:4939", + "right": "pull_request:4941", + "accept": false, + "reason": "Same file, but different code paths and user-facing changes: LoRA loading override vs negative micro-conditioning parameters." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 160, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3904-2", + "nodes": [ + "pull_request:3904", + "pull_request:3905" + ], + "soft_pairs": [ + "pull_request:3904|pull_request:3905" + ], + "prepared_review_unit_hash": "626872c355e2458e051813e52a7b2e13d0c3b88618c5c265dd9d50951450f8a1", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6257, + "estimated_input_tokens": 1565, + "estimated_eval_tokens": 3386 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6257, + "estimated_input_tokens": 1565, + "estimated_eval_tokens": 3386 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are documentation-focused pull requests in the pipeline API area, but they are not the same underlying change: #3904 targets a small set of AltDiffusion/stable-diffusion API doc updates, while #3905 is a broader cleanup across many pipeline docs and the toctree. They overlap in files because #3905 sweeps through the same documentation area, not because they fix the same discrete issue.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3905 is the better canonical representative because it is the merged, broader doc cleanup that subsumes several pipeline API wording/title adjustments and has much more discussion activity.", + "best_issue_reason": null, + "best_pr_reason": "PR #3905 is the best overall PR in this cluster: it was merged, covers the larger and more complete documentation cleanup, and appears to be the intended final change set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3904", + "right": "pull_request:3905", + "accept": false, + "reason": "Reject: the overlap is only in shared documentation files and pipeline API cleanup. The diffs are not the same concrete change and could not reasonably be merged as duplicates of one bug fix or feature." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 161, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3930-2", + "nodes": [ + "pull_request:3930", + "pull_request:3949" + ], + "soft_pairs": [ + "pull_request:3930|pull_request:3949" + ], + "prepared_review_unit_hash": "9483fb5f6c294a8cd68da4dee181c9a53fc050b1265d7bc9be46567e6d22a530", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4926, + "estimated_input_tokens": 1232, + "estimated_eval_tokens": 2720 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4926, + "estimated_input_tokens": 1232, + "estimated_eval_tokens": 2720 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs overlap in the same text-to-video area, but they solve different problems: #3930 adds memory-saving chunked feed-forward support, while #3949 changes UNet/pipeline return handling for torch.compile compatibility. They are not the same underlying change, so the soft duplicate edge should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:3930", + "right": "pull_request:3949", + "accept": false, + "reason": "Different code-path problems: #3930 focuses on memory optimization via chunked feed-forward in attention/3D UNet, while #3949 updates return_dict handling for torch.compile compatibility. Shared files are broad text-to-video plumbing, not evidence of the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 162, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4032-2", + "nodes": [ + "pull_request:4032", + "pull_request:4454" + ], + "soft_pairs": [ + "pull_request:4032|pull_request:4454" + ], + "prepared_review_unit_hash": "4ecaef953ab7d738e128a970f6050f8c4da7b0eac5ce3083462d3f50af9d36ab", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4907, + "estimated_input_tokens": 1227, + "estimated_eval_tokens": 2710 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4907, + "estimated_input_tokens": 1227, + "estimated_eval_tokens": 2710 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs address edge cases in ControlNet pipelines when a MultiControlNet setup contains only one ControlNet, but they patch different bugs in different code paths, so they should not be merged as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4454 is the more explicit, focused fix for the single-ControlNet MultiControlNet type-error path, with a concrete guard where list-valued conditioning scales are reduced to a scalar.", + "best_issue_reason": null, + "best_pr_reason": "PR 4454 is the best representative of the cluster because it directly targets the reported type error across the affected ControlNet pipeline variants and has the clearest bug-to-fix mapping.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4032", + "right": "pull_request:4454", + "accept": false, + "reason": "Related but not the same underlying change: 4032 fixes keep-mask selection for MultiControlNetModel length 1, while 4454 fixes cond_scale type handling when the conditioning scale is a list. They touch the same subsystem but different failure points." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 163, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4076-2", + "nodes": [ + "pull_request:4076", + "pull_request:4079" + ], + "soft_pairs": [ + "pull_request:4076|pull_request:4079" + ], + "prepared_review_unit_hash": "d203a3d179fa5b014fa022f54b9b3202a065bf2d84a367aa269b02f4c143544c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5075, + "estimated_input_tokens": 1269, + "estimated_eval_tokens": 2794 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5075, + "estimated_input_tokens": 1269, + "estimated_eval_tokens": 2794 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs target the same SDXL InstructPix2Pix feature work, with 4079 being the broader, merged implementation and 4076 a smaller overlapping subset.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4079 is the merged, more complete implementation of SDXL InstructPix2Pix support, covering the core pipeline/training code plus docs, exports, tests, and compatibility updates.", + "best_issue_reason": null, + "best_pr_reason": "PR 4079 is the best representative because it includes the full feature change and was actually merged, while 4076 is an earlier narrower subset of the same work.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4076", + "right": "pull_request:4079", + "accept": true, + "reason": "Same underlying feature change: both add SDXL InstructPix2Pix support and share the core training script and pipeline file, with 4079 extending the same code-path change into docs/tests/exports." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 164, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4221-2", + "nodes": [ + "pull_request:4221", + "pull_request:6046" + ], + "soft_pairs": [ + "pull_request:4221|pull_request:6046" + ], + "prepared_review_unit_hash": "ee3a428c9ac39deae79e274c966647f124e12b201cacc7998f5cd7d2b0d7244e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3876, + "estimated_input_tokens": 969, + "estimated_eval_tokens": 2194 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3876, + "estimated_input_tokens": 969, + "estimated_eval_tokens": 2194 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related to LoRA/IP-Adapter loading behavior, but they fix different bugs: one handles `network_alpha` for old-format LoRA loading, the other fixes `self.unet` vs named UNet access when the UNet attribute is not literally called `unet`. They should not be clustered as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6046 is the better canonical PR for this cluster because it addresses a broader, clearer loader bug around nonstandard UNet attribute names and touches the relevant loader paths directly.", + "best_issue_reason": null, + "best_pr_reason": "PR #6046 is the best representative overall: it fixes a concrete code-path problem in both IP-Adapter and LoRA loader handling when the UNet is stored under a different attribute name.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4221", + "right": "pull_request:6046", + "accept": false, + "reason": "Different underlying defects: #4221 passes `network_alpha` for old-format LoRA weights, while #6046 fixes loader access when the UNet attribute is not named `unet`. They are not the same change and would not plausibly be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 165, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4369-2", + "nodes": [ + "pull_request:4369", + "pull_request:4411" + ], + "soft_pairs": [ + "pull_request:4369|pull_request:4411" + ], + "prepared_review_unit_hash": "9317a9541b16f981ce142302cdea9a12d20f48f2a177b89e2d16b6361cf84ce8", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4076, + "estimated_input_tokens": 1019, + "estimated_eval_tokens": 2294 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4076, + "estimated_input_tokens": 1019, + "estimated_eval_tokens": 2294 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are small cleanup fixes, but they target different duplicate-code issues in different ControlNet/SDXL code paths, so they should not be clustered as the same change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: #4369 removes duplicate prompt-tokenization lines across SDXL pipelines, while #4411 removes a redundant ControlNet assignment in img2img; they are distinct fixes.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR for this cluster as a duplicate representative; the PRs are unrelated cleanup changes rather than one underlying bug/fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4369", + "right": "pull_request:4411", + "accept": false, + "reason": "Different code paths and bugs: #4369 is an encode_prompt duplicate-line cleanup in SDXL pipelines, while #4411 removes a redundant controlnet assignment in ControlNet img2img. Not the same change and not mergeable into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 166, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4415-2", + "nodes": [ + "pull_request:4415", + "pull_request:4455" + ], + "soft_pairs": [ + "pull_request:4415|pull_request:4455" + ], + "prepared_review_unit_hash": "b76d4c9eccf7ea36347155553c358fcd113a153ecf4995e5597469cbba0572cc", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4672, + "estimated_input_tokens": 1168, + "estimated_eval_tokens": 2592 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4672, + "estimated_input_tokens": 1168, + "estimated_eval_tokens": 2592 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are similar Stable Diffusion test-flakiness cleanups that add `set_default_attn_processor()`, but they target different test cases and code paths, so they do not look like the same change.", + "confidence": 0.77, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4455 is the better representative of the cleanup pattern because it touches the main Stable Diffusion test file and shows the core flaky-test mitigation more centrally than the more pipeline-specific compile cleanup in #4415.", + "best_issue_reason": null, + "best_pr_reason": "PR #4455 is the best single PR for this cluster because it is a focused Stable Diffusion flaky-test cleanup in the primary test suite, whereas #4415 is a separate compile-oriented cleanup across several pipeline tests.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4415", + "right": "pull_request:4455", + "accept": false, + "reason": "They are related test-stabilization edits, but they change different tests for different behaviors (compile/pipeline setup vs attention-slicing in the main Stable Diffusion tests). This is not the same underlying bug or a single mergeable fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 167, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4475-2", + "nodes": [ + "pull_request:4475", + "pull_request:4493" + ], + "soft_pairs": [ + "pull_request:4475|pull_request:4493" + ], + "prepared_review_unit_hash": "4e28f819efa5b3c60609118a3ab33b3d233077490c31058a9a464cd3ee2115d5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4231, + "estimated_input_tokens": 1058, + "estimated_eval_tokens": 2372 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4231, + "estimated_input_tokens": 1058, + "estimated_eval_tokens": 2372 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests implement the same exact change in the same file: log `global_step` to TensorBoard instead of `epoch` in DreamBooth validation. PR #4493 is the better canonical PR because it is merged; #4475 appears to be the unmerged duplicate/predecessor.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4493 is the merged version of the identical DreamBooth logging fix, so it is the best canonical PR for this change.", + "best_issue_reason": null, + "best_pr_reason": "PR #4493 is the best overall PR because it is merged and contains the same concrete code-path fix as #4475.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4475", + "right": "pull_request:4493", + "accept": true, + "reason": "Same title, same file, and the diff shows the same edit: replace `epoch` with `global_step` in TensorBoard logging for DreamBooth validation. These are the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 168, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4485-2", + "nodes": [ + "pull_request:4485", + "pull_request:4486" + ], + "soft_pairs": [ + "pull_request:4485|pull_request:4486" + ], + "prepared_review_unit_hash": "b7dfbf9daee6150e8433aee4e27a43097b97a2cf9db0ab2b6d34e114513c983e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4187, + "estimated_input_tokens": 1047, + "estimated_eval_tokens": 2350 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4187, + "estimated_input_tokens": 1047, + "estimated_eval_tokens": 2350 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs patch the same DreamBooth LoRA SDXL training path with the same fix set: adjust dataloader handling for batch sizing and drop_last. They look like duplicate change proposals rather than distinct PRs.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4486 has the clearer, more specific title and the same code changes as #4485, so it is the better canonical PR for this duplicate pair.", + "best_issue_reason": null, + "best_pr_reason": "PR #4486 is the best representative because its title describes the concrete bug/fix more precisely, while the diff overlaps almost entirely with #4485.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4485", + "right": "pull_request:4486", + "accept": true, + "reason": "Same file, same training code path, and the diffs implement the same batch-size/drop_last fix; these appear to be the same underlying change and could be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 169, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4544-2", + "nodes": [ + "pull_request:4544", + "pull_request:4590" + ], + "soft_pairs": [ + "pull_request:4544|pull_request:4590" + ], + "prepared_review_unit_hash": "77cd1c9d60847118b213f984686aa2782da2c9c9eb579a81a229940a10664ded", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2962, + "estimated_input_tokens": 741, + "estimated_eval_tokens": 1738 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2962, + "estimated_input_tokens": 741, + "estimated_eval_tokens": 1738 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are the same small fix to `scripts/convert_original_stable_diffusion_to_diffusers.py` for `pipeline_class_name`; one PR was merged and the other is an earlier duplicate/unmerged copy.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4590 is the merged implementation of the exact same change, so it is the best canonical PR for this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #4590 is preferable because it is merged and matches PR #4544\u2019s diff and title exactly.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4544", + "right": "pull_request:4590", + "accept": true, + "reason": "Same title, same file, and identical diff; these are clearly the same underlying code change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 170, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4558-2", + "nodes": [ + "pull_request:4558", + "pull_request:4603" + ], + "soft_pairs": [ + "pull_request:4558|pull_request:4603" + ], + "prepared_review_unit_hash": "73c6676d38ccd9849e07c716a7a5518edbeb44102916e2b65c03d07a11a2bb99", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4460, + "estimated_input_tokens": 1115, + "estimated_eval_tokens": 2486 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4460, + "estimated_input_tokens": 1115, + "estimated_eval_tokens": 2486 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs fix the same underlying bug: an incorrect default `guidance_rescale` value of `0.0` instead of `0.7`. PR #4558 is the broader, more canonical fix across multiple pipelines; PR #4603 is a narrower stable-diffusion-only variant of the same change.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4558 is the best canonical PR because it addresses the bug across all affected pipelines, includes a test, and explicitly links the tracking issue.", + "best_issue_reason": null, + "best_pr_reason": "PR #4558 is the strongest representative of the cluster: it fixes the same parameter-default bug in the shared code path and covers the widest affected surface.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4558", + "right": "pull_request:4603", + "accept": true, + "reason": "Same concrete bug and same fix pattern for `guidance_rescale`; #4603 is a narrower subset of #4558 rather than a different change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs change `guidance_rescale` from `0.0` to `0.7`, and #4558 clearly spans multiple related pipelines while #4603 is a narrower single-file change. The soft-edge accept is conservative because #4603 appears to be a subset of the same bugfix rather than a different change." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 171, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-471-8", + "nodes": [ + "pull_request:471", + "pull_request:611", + "pull_request:618", + "pull_request:619", + "pull_request:629", + "pull_request:631", + "pull_request:680", + "pull_request:683" + ], + "soft_pairs": [ + "pull_request:471|pull_request:683", + "pull_request:611|pull_request:683", + "pull_request:611|pull_request:619", + "pull_request:611|pull_request:629", + "pull_request:618|pull_request:629", + "pull_request:619|pull_request:631", + "pull_request:619|pull_request:629", + "pull_request:629|pull_request:631", + "pull_request:631|pull_request:680" + ], + "prepared_review_unit_hash": "3ae356ea11a13d675c33921aa6949010e95712117ef9ed939bb0c230464b110d", + "component_budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 9, + "serialized_chars": 17922, + "estimated_input_tokens": 4481, + "estimated_eval_tokens": 9218 + }, + "budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 9, + "serialized_chars": 17922, + "estimated_input_tokens": 4481, + "estimated_eval_tokens": 9218 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is mostly unrelated docs/readability cleanup PRs, plus one small code URL fix. Despite similar wording, the PRs change different files and different specific text or markup, so they are not duplicates of the same underlying change.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #629 is the broadest representative of the cluster: it is a multi-file readability/docs cleanup and captures the main theme better than the narrower single-file docs fixes.", + "best_issue_reason": null, + "best_pr_reason": "PR #629 is the best single anchor for this cluster because it spans several files and reflects the shared readability-fix motif, while the other PRs are narrower and not the same change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:471", + "right": "pull_request:683", + "accept": false, + "reason": "Both are docs table-formatting fixes, but they touch different pages and different tables; they are separate cleanup changes." + }, + { + "left": "pull_request:611", + "right": "pull_request:683", + "accept": false, + "reason": "One fixes a copyright spelling typo in scheduler files; the other fixes a docs table. Same general docs-cleanup vibe, but not the same change." + }, + { + "left": "pull_request:611", + "right": "pull_request:619", + "accept": false, + "reason": "Different targets and different edits: a copyright notice typo versus general markdown readability/table cleanup." + }, + { + "left": "pull_request:611", + "right": "pull_request:629", + "accept": false, + "reason": "Both are minor text/readability fixes, but they affect different files and unrelated wording; not one concrete bug or change." + }, + { + "left": "pull_request:618", + "right": "pull_request:629", + "accept": false, + "reason": "These are separate docs fixes in different files; the first corrects a reference, the second is broader prose cleanup." + }, + { + "left": "pull_request:619", + "right": "pull_request:631", + "accept": false, + "reason": "Both are readability-oriented, but one is docs markdown cleanup and the other is a Python utility refactor; they do not fix the same underlying issue." + }, + { + "left": "pull_request:619", + "right": "pull_request:629", + "accept": false, + "reason": "Overlapping theme only: both improve markdown/text readability, but they edit different files and different passages." + }, + { + "left": "pull_request:629", + "right": "pull_request:631", + "accept": false, + "reason": "These are separate readability refactors in different code areas; they are not the same concrete change and would not be merged as one PR." + }, + { + "left": "pull_request:631", + "right": "pull_request:680", + "accept": false, + "reason": "One is an internal refactor/readability cleanup; the other changes a model config URL. Different code-paths and purposes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 172, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4776-2", + "nodes": [ + "pull_request:4776", + "pull_request:6988" + ], + "soft_pairs": [ + "pull_request:4776|pull_request:6988" + ], + "prepared_review_unit_hash": "dd88bdd230591495f195333a5bd8ce5fc42f3312372e9385b1e01c7e38c4e88e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4206, + "estimated_input_tokens": 1052, + "estimated_eval_tokens": 2360 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4206, + "estimated_input_tokens": 1052, + "estimated_eval_tokens": 2360 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two pull requests are not duplicates: one adds denoising-end logic to the SDXL ControlNet pipeline, while the other only updates the Stable Diffusion inpaint pipeline documentation/example string. They touch different code paths and have different purposes.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4776 is the stronger canonical PR because it makes a concrete functional change in the ControlNet SDXL pipeline, whereas PR #6988 is a docs/example update without an apparent bug fix or shared code-path change.", + "best_issue_reason": null, + "best_pr_reason": "PR #4776 is the best PR overall since it contains the substantive implementation change and is more representative of a meaningful merge candidate than the documentation-only update in PR #6988.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4776", + "right": "pull_request:6988", + "accept": false, + "reason": "Different pipelines and different change types: #4776 adds denoising_end handling to controlnet_sd_xl.py, while #6988 only updates inpaint pipeline example/docs. They do not look like the same underlying bug or mergeable fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 173, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4810-2", + "nodes": [ + "pull_request:4810", + "pull_request:4891" + ], + "soft_pairs": [ + "pull_request:4810|pull_request:4891" + ], + "prepared_review_unit_hash": "3739a69fed67d7de884b5bade2c8a4490b97b677adbcdb981178c72ec43d0155", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5439, + "estimated_input_tokens": 1360, + "estimated_eval_tokens": 2976 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5439, + "estimated_input_tokens": 1360, + "estimated_eval_tokens": 2976 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two pull requests appear to be duplicates of the same bug fix: image-to-latent sampling failed for autoencoders that return latents directly instead of a latent distribution. PR 4891 is the more complete/code-focused version, while PR 4810 appears to be an earlier or broader variant of the same fix.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4891 is the stronger canonical candidate because it contains the concrete pipeline code changes and tests that directly address the latent-retrieval bug across img2img/inpaint paths.", + "best_issue_reason": null, + "best_pr_reason": "PR 4891 is the best overall representative of the fix: it implements the actual code-path correction, covers multiple affected pipelines, and includes tests.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4810", + "right": "pull_request:4891", + "accept": true, + "reason": "Same title and same underlying bug: sampling image latents fails when the encoder returns latents directly. The second PR shows the concrete implementation of that fix, so these are the same change family and can be treated as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 174, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4903-2", + "nodes": [ + "pull_request:4903", + "pull_request:4994" + ], + "soft_pairs": [ + "pull_request:4903|pull_request:4994" + ], + "prepared_review_unit_hash": "dc6c52dae1ddab1eee12a3c3710907a99361ec9573d0bc220f9080c3cfef1417", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4680, + "estimated_input_tokens": 1170, + "estimated_eval_tokens": 2596 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4680, + "estimated_input_tokens": 1170, + "estimated_eval_tokens": 2596 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs both touch loaders.py, but they address different problems: PR #4903 relaxes textual inversion loading for Stable Diffusion XL pipelines, while PR #4994 optimizes LoRA loading. They are not the same underlying change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR for deduping: #4903 is an API/behavior change for textual inversion loading, and #4994 is a performance refactor for LoRA loading; they share a file but not the same bug or fix.", + "best_issue_reason": null, + "best_pr_reason": "#4994 is the better representative only in the sense that it is a more self-contained optimization PR; however, it is not a duplicate of #4903 and should not be merged with it.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4903", + "right": "pull_request:4994", + "accept": false, + "reason": "Reject: the PRs target different code paths and different goals\u2014textual inversion loading vs. LoRA loading optimization. Shared edits to loaders.py are not enough to indicate the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 175, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4917-2", + "nodes": [ + "pull_request:4917", + "pull_request:5528" + ], + "soft_pairs": [ + "pull_request:4917|pull_request:5528" + ], + "prepared_review_unit_hash": "6af7e5a7a17f2fd5032c1c8d28ae454bec453e6acd8c55300f623be3ce100d82", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2674, + "estimated_input_tokens": 669, + "estimated_eval_tokens": 1594 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2674, + "estimated_input_tokens": 669, + "estimated_eval_tokens": 1594 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two separate bug-fix PRs in `src/diffusers/loaders.py` that correct the same API misuse pattern, but for different model loaders (`vae` vs `controlnet`). They are related stylistically, not duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4917 is the cleaner canonical representative: it is the earlier, more generic fix for passing `dtype` correctly in `from_single_file`, while PR #5528 is a later, model-specific application of the same pattern to ControlNet.", + "best_issue_reason": null, + "best_pr_reason": "PR #4917 is the best single PR in the cluster because it addresses the broader underlying loader bug and is phrased as the general bug fix rather than a narrow instance.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4917", + "right": "pull_request:5528", + "accept": false, + "reason": "Both PRs change the same file and fix a similar `to(dtype=...)` typo, but they target different code paths and models (`vae` in one loader path vs `controlnet` in another). They are not the same concrete change and would not plausibly merge into one PR as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 176, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4938-3", + "nodes": [ + "pull_request:4938", + "pull_request:5020", + "pull_request:5210" + ], + "soft_pairs": [ + "pull_request:4938|pull_request:5020", + "pull_request:4938|pull_request:5210", + "pull_request:5020|pull_request:5210" + ], + "prepared_review_unit_hash": "12052854ea4e525d4d050b42385fc17a70cf6237d30d79fc6a34df50035aacf3", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6810, + "estimated_input_tokens": 1703, + "estimated_eval_tokens": 3662 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6810, + "estimated_input_tokens": 1703, + "estimated_eval_tokens": 3662 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Three merged docs PRs in the same product area, but they are distinct guide rewrites: text-to-image, image-to-image, and inpaint docs. They do not appear to be duplicate fixes or the same mergeable change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a clear duplicate of the others; each targets a different documentation page and distinct guide update.", + "best_issue_reason": null, + "best_pr_reason": "PR #5020 is the strongest standalone representative because it is a substantial, self-contained guide overhaul for image-to-image, but it is not a duplicate of the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4938", + "right": "pull_request:5020", + "accept": false, + "reason": "Different documentation changes: text-to-image guide rewrite vs image-to-image guide rewrite. Same broad area, but not the same underlying change." + }, + { + "left": "pull_request:4938", + "right": "pull_request:5210", + "accept": false, + "reason": "Text-to-image guide and inpaint docs update are separate documentation efforts with different targets and content." + }, + { + "left": "pull_request:5020", + "right": "pull_request:5210", + "accept": false, + "reason": "They both touch img2img wording, but #5210 is primarily an inpaint docs update; the overlap is incidental, not the same concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 177, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4995-3", + "nodes": [ + "pull_request:4995", + "pull_request:4997", + "pull_request:4998" + ], + "soft_pairs": [ + "pull_request:4995|pull_request:4997", + "pull_request:4997|pull_request:4998" + ], + "prepared_review_unit_hash": "215bf76ac5ea62f8f2684ceb9791abcc74cb38d1e8b0b88334f0a30ff7ea9fde", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7812, + "estimated_input_tokens": 1953, + "estimated_eval_tokens": 4162 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7812, + "estimated_input_tokens": 1953, + "estimated_eval_tokens": 4162 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Three PRs form a loose Stable Diffusion offloading/test cluster, but only one is a real code fix. PR #4998 is the actual safety-checker CPU offload change across pipelines; #4997 is a test adjustment around sequential offloading; #4995 is an unrelated image-variation test tweak.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4998 is the best representative because it contains the substantive pipeline code change for the offload/safety-checker behavior, and it applies across multiple related pipelines.", + "best_issue_reason": null, + "best_pr_reason": "PR #4998 is the strongest standalone fix in the cluster: it directly changes the pipeline implementation rather than only adjusting tests, and its scope matches the underlying offload bug more closely than the other PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4995", + "right": "pull_request:4997", + "accept": false, + "reason": "Both are test-only changes, but they target different behaviors: image variation slow-test setup vs sequential CPU offloading. They do not fix the same concrete bug and would not naturally merge into one PR." + }, + { + "left": "pull_request:4997", + "right": "pull_request:4998", + "accept": false, + "reason": "They share the broad offloading/safety-checker theme, but #4998 fixes pipeline implementation across many files while #4997 only tweaks a test by disabling safety_checker. Different artifacts, different code paths, not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 178, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5106-2", + "nodes": [ + "pull_request:5106", + "pull_request:5107" + ], + "soft_pairs": [ + "pull_request:5106|pull_request:5107" + ], + "prepared_review_unit_hash": "687f0b855a38b067c23d407b21bcada0ed6922e2b5d939f74fcccf625923e95e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4417, + "estimated_input_tokens": 1105, + "estimated_eval_tokens": 2466 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4417, + "estimated_input_tokens": 1105, + "estimated_eval_tokens": 2466 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related by theme (Min-SNR / SNR-gamma training tweaks) but they fix different training scripts and different code paths, so they are not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical PR: 5106 is broader across several text-to-image/controlnet variants, while 5107 is a separate DreamBooth-specific implementation.", + "best_issue_reason": null, + "best_pr_reason": "PR 5106 is the best representative of the cluster theme because it spans multiple example trainers and directly patches the v_prediction SNR weighting behavior.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5106", + "right": "pull_request:5107", + "accept": false, + "reason": "Both are about SNR/min-SNR training, but 5106 adds a v_prediction SNR-floor tweak in several text-to-image/controlnet trainers, while 5107 introduces a new DreamBooth-specific compute_snr/min-SNR implementation. Different concrete code paths and not plausibly one merged PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 179, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5148-2", + "nodes": [ + "pull_request:5148", + "pull_request:5235" + ], + "soft_pairs": [ + "pull_request:5148|pull_request:5235" + ], + "prepared_review_unit_hash": "f89181d504779e2588ce21593611211510c4a1243cf08eeeb3421873c8eb22a9", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4829, + "estimated_input_tokens": 1208, + "estimated_eval_tokens": 2672 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4829, + "estimated_input_tokens": 1208, + "estimated_eval_tokens": 2672 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two PRs both relate to compile-test infrastructure, but they fix different layers: PR #5148 updates CI/workflows and test selection, while PR #5235 adjusts the compile CUDA Docker image and one test setup path. They are related, not duplicates.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5148 is the broader and more central compile-test fix, updating the build/push test workflows and multiple test files rather than only the Docker image setup.", + "best_issue_reason": null, + "best_pr_reason": "PR #5148 is the best representative of the cluster because it addresses the CI/test-running side of compile support and has the wider scope of changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5148", + "right": "pull_request:5235", + "accept": false, + "reason": "Both mention compile tests, but #5148 changes workflow/test exclusions and adds the compile image to CI, while #5235 fixes the Dockerfile/Python version and one test file. They do not appear to fix the same concrete bug or be mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 180, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5174-2", + "nodes": [ + "pull_request:5174", + "pull_request:5183" + ], + "soft_pairs": [ + "pull_request:5174|pull_request:5183" + ], + "prepared_review_unit_hash": "7b8cdabbf076d4efe448fe5eb6c84aae91c00eefdc7d12203b98737ddc7d8902", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4483, + "estimated_input_tokens": 1121, + "estimated_eval_tokens": 2498 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4483, + "estimated_input_tokens": 1121, + "estimated_eval_tokens": 2498 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two different CPU offload fixes: one is BLIP Diffusion\u2013specific offload sequencing/device handling, the other is a shared pipeline_utils fix for preserving the offload GPU index. They are related by theme but not the same underlying change.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: PR 5174 fixes BLIP Diffusion offload behavior in a model-specific pipeline, while PR 5183 fixes shared offload GPU-ID handling in pipeline_utils; they address different code paths and bugs.", + "best_issue_reason": null, + "best_pr_reason": "PR 5183 is the broader representative of the cluster because it changes the shared offload utility used across pipelines, whereas PR 5174 is a narrower pipeline-specific fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5174", + "right": "pull_request:5183", + "accept": false, + "reason": "Different fixes: 5174 adds BLIP Diffusion-specific offload sequencing and device plumbing, while 5183 changes the shared offload GPU-ID retention logic in pipeline_utils. Related area, but not the same bug or mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 181, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5214-2", + "nodes": [ + "pull_request:5214", + "pull_request:5305" + ], + "soft_pairs": [ + "pull_request:5214|pull_request:5305" + ], + "prepared_review_unit_hash": "b9ef5495d33440806b52eb7476ead00d04307c5c6462eff22e1eefadddf2d8b0", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6149, + "estimated_input_tokens": 1538, + "estimated_eval_tokens": 3332 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6149, + "estimated_input_tokens": 1538, + "estimated_eval_tokens": 3332 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs target the same GLIGEN/EulerAncestralDiscreteScheduler 0-d tensor iteration bug, but 5305 is the cleaner, merged fix while 5214 is a broader, noisier precursor. I\u2019d cluster them together as duplicates of the same underlying change.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5305 is the merged, focused fix for the exact in-painting/0-d tensor GLIGEN bug, with targeted pipeline code and tests. PR 5214 appears to be an earlier, much broader version with extra workflow/docs/example churn beyond the core fix.", + "best_issue_reason": null, + "best_pr_reason": "5305 is the best representative PR: it directly addresses the concrete bug, is merged, and its scope is tightly aligned with the actual code-path problem.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5214", + "right": "pull_request:5305", + "accept": true, + "reason": "Same bug, same title/issue target, and overlapping GLIGEN pipeline files indicate the same underlying fix. Despite 5214\u2019s extra unrelated changes, the core code-path problem matches 5305 closely enough to treat them as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 182, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5243-2", + "nodes": [ + "pull_request:5243", + "pull_request:5255" + ], + "soft_pairs": [ + "pull_request:5243|pull_request:5255" + ], + "prepared_review_unit_hash": "7cd3fc526c44d400242acfeb7212fa825e3566bf3331dfbc645d6fa183e00e18", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4675, + "estimated_input_tokens": 1169, + "estimated_eval_tokens": 2594 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4675, + "estimated_input_tokens": 1169, + "estimated_eval_tokens": 2594 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests implement the same Wuerstchen documentation/default-value fix in the same files; PR #5255 is the merged, later version and is the best canonical representative.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5255 is the merged PR, and its diff matches PR #5243 closely across the same Wuerstchen pipeline files, indicating it is the better canonical representative of this fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #5255 is the strongest overall representative because it was merged and appears to contain the same concrete change as #5243, making it the most complete and authoritative instance.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5243", + "right": "pull_request:5255", + "accept": true, + "reason": "Same underlying fix: identical touched Wuerstchen pipeline files and nearly identical diff preview changing documented defaults. The later merged PR is effectively the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 183, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-527-2", + "nodes": [ + "pull_request:527", + "pull_request:603" + ], + "soft_pairs": [ + "pull_request:527|pull_request:603" + ], + "prepared_review_unit_hash": "4ab1d9182d04dd575181c1dbaa7e165eff6c71a03de191ea1e44c9fe7297d1ae", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4421, + "estimated_input_tokens": 1106, + "estimated_eval_tokens": 2468 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4421, + "estimated_input_tokens": 1106, + "estimated_eval_tokens": 2468 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are related to Flax `from_pretrained`, but they address different changes: PR #527 adds new `from_pt` loading support and supporting utilities, while PR #603 is a narrow bug fix for the PyTorch-weights existence check in that code path. They are not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #527 is the broader, foundational change introducing `from_pt` support in Flax `from_pretrained` along with new conversion utilities and model updates. PR #603 is a later targeted fix in that area, not the main change.", + "best_issue_reason": null, + "best_pr_reason": "PR #527 is the best representative for the cluster because it defines the underlying feature area and the main code path that PR #603 later patches.", + "soft_edge_verdicts": [ + { + "left": "pull_request:527", + "right": "pull_request:603", + "accept": false, + "reason": "Same subsystem, but not the same concrete change: #527 adds `from_pt` support and related conversion logic, while #603 only fixes a file-check typo for PyTorch weights in `from_pretrained`. They could not plausibly be merged as one duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 184, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5278-2", + "nodes": [ + "pull_request:5278", + "pull_request:5279" + ], + "soft_pairs": [ + "pull_request:5278|pull_request:5279" + ], + "prepared_review_unit_hash": "1731c6493ea034b78e05e67506a1b8e26676a5e7de624362873e292b9c1ad0fe", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4400, + "estimated_input_tokens": 1100, + "estimated_eval_tokens": 2456 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4400, + "estimated_input_tokens": 1100, + "estimated_eval_tokens": 2456 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are similar DeepSpeed-related controlnet SDXL PRs, but they do not look like the same underlying change. PR 5278 mostly adjusts the SDXL controlnet example/readme and removes an xformers validation branch, while PR 5279 keeps the xformers path and adds checkpoint/validation-related fixes across multiple files.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5279 is the better canonical PR because it is the broader, more discussed change and includes the main code-path fixes across the training examples plus dependency updates.", + "best_issue_reason": null, + "best_pr_reason": "PR 5279 is the best representative for the cluster since it has the larger scope and review activity, and its changes are more central to the DeepSpeed compatibility/fix theme than 5278's mostly example/readme adjustment.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5278", + "right": "pull_request:5279", + "accept": false, + "reason": "They overlap in title and one shared file, but the diffs target different fixes: 5278 changes the controlnet example/readme and removes xformers validation handling, while 5279 restores xformers support and adds checkpoint/negative-prompt changes plus other files. Not the same concrete bug/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 185, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5288-3", + "nodes": [ + "pull_request:5288", + "pull_request:5366", + "pull_request:5370" + ], + "soft_pairs": [ + "pull_request:5366|pull_request:5370", + "pull_request:5288|pull_request:5366", + "pull_request:5288|pull_request:5370" + ], + "prepared_review_unit_hash": "f6e546aeadad56660f552fe9626c8c66e3dc9a4d40d97fc653602d6130f04ed3", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6749, + "estimated_input_tokens": 1688, + "estimated_eval_tokens": 3632 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6749, + "estimated_input_tokens": 1688, + "estimated_eval_tokens": 3632 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three items are PRs for the same tracked Stable Diffusion fast-test size reduction effort, but only PR #5370 contains a merged, concrete implementation. PR #5288 is just a TODO/commentary change, and PR #5366 is an alternative/unmerged configuration edit that differs materially from #5370.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5370 is the best canonical PR because it is merged and makes the substantive, concrete parameter reductions to the StableDiffusion test components. It represents the implemented fix rather than a note or alternate draft.", + "best_issue_reason": null, + "best_pr_reason": "PR #5370 is the strongest overall representative: it is merged, directly updates the dummy UNet configuration used by the fast tests, and reflects the finalized change set for the shared target issue.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5366", + "right": "pull_request:5370", + "accept": false, + "reason": "Both touch the same test file and issue, but the actual UNet dummy-component configurations are different enough to look like competing alternative implementations rather than the same concrete patch." + }, + { + "left": "pull_request:5288", + "right": "pull_request:5366", + "accept": false, + "reason": "#5288 is a TODO/comment-only precursor, while #5366 is a substantive config change with different model settings; they are not the same concrete code change." + }, + { + "left": "pull_request:5288", + "right": "pull_request:5370", + "accept": false, + "reason": "#5288 only adds a note about making the fast test smaller, whereas #5370 implements the actual parameter changes, so they are not duplicates of the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 186, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5293-2", + "nodes": [ + "pull_request:5293", + "pull_request:5389" + ], + "soft_pairs": [ + "pull_request:5293|pull_request:5389" + ], + "prepared_review_unit_hash": "b40008559b1bd16405fffa1c7ac58684cde46ef257a6a0acc0543537138eb7a5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4039, + "estimated_input_tokens": 1010, + "estimated_eval_tokens": 2276 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4039, + "estimated_input_tokens": 1010, + "estimated_eval_tokens": 2276 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are merged documentation-only PRs in the same file, but they add docstrings for different classes and do not look like the same underlying change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5389 is the more representative docstring-only change in this cluster; #5293 is a separate, narrower docstring addition for a different class.", + "best_issue_reason": null, + "best_pr_reason": "PR #5389 is the better cluster representative because it is the broader, cleaner documentation update and not tied to a specific duplicate-fix pattern.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5293", + "right": "pull_request:5389", + "accept": false, + "reason": "Both PRs only add class docstrings in the same file, but they document different classes and could not plausibly be merged as one duplicate fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 187, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5297-3", + "nodes": [ + "pull_request:5297", + "pull_request:6780", + "pull_request:8603" + ], + "soft_pairs": [ + "pull_request:5297|pull_request:6780", + "pull_request:6780|pull_request:8603" + ], + "prepared_review_unit_hash": "7c815a68c4a131e94809a21fe4609e11192a38584696ae7343ffd13963bdd1bd", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7016, + "estimated_input_tokens": 1754, + "estimated_eval_tokens": 3764 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7016, + "estimated_input_tokens": 1754, + "estimated_eval_tokens": 3764 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three separate dependency-pin PRs for different packages and different libraries (torch vs numpy). They are related in theme but not the same underlying change, so the soft matches should be rejected.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6780 is the broadest and most central dependency-pin change, updating torch-related pins across multiple CI Dockerfiles plus setup metadata; if one PR must represent the cluster, this is the best candidate.", + "best_issue_reason": null, + "best_pr_reason": "PR #6780 has the widest scope and most general applicability, so it is the strongest representative of the set even though the PRs are not duplicates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5297", + "right": "pull_request:6780", + "accept": false, + "reason": "Both involve torch pinning, but they target different containers and different fixes: #5297 pins versions in one pytorch-cuda image, while #6780 applies a broader torch<2.2.0 constraint across multiple test runner images and package metadata. Not the same concrete change." + }, + { + "left": "pull_request:6780", + "right": "pull_request:8603", + "accept": false, + "reason": "These change different dependencies and failure modes: #6780 is about torch/torchvision/torchaudio compatibility, while #8603 temporarily pins numpy in CI Dockerfiles. Same general maintenance theme, but not the same bug or mergeable change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 188, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5322-2", + "nodes": [ + "pull_request:5322", + "pull_request:5590" + ], + "soft_pairs": [ + "pull_request:5322|pull_request:5590" + ], + "prepared_review_unit_hash": "99854b0c76ff215b8730f87c9ed602cae1e3b194c1eb03e4fd10265954be13ae", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4186, + "estimated_input_tokens": 1047, + "estimated_eval_tokens": 2350 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4186, + "estimated_input_tokens": 1047, + "estimated_eval_tokens": 2350 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are merged documentation PRs against the inpaint guide, but they address different additions: one adds a mask-creation helper section, the other adds a comparison of regular vs inpaint checkpoints. They are related by file, not the same change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5590 is the more substantial and self-contained guide update, adding a concrete comparison and examples for using regular checkpoints with inpainting.", + "best_issue_reason": null, + "best_pr_reason": "PR 5590 is the best representative of the cluster because it makes the larger, clearer doc enhancement and is more likely to stand alone as the canonical inpaint-guide improvement.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5322", + "right": "pull_request:5590", + "accept": false, + "reason": "Different underlying doc changes: 5322 adds a mask-image creation section and iframe, while 5590 adds a new comparison section plus code examples for regular vs inpaint checkpoints. Shared file alone is not enough to treat them as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 189, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5340-2", + "nodes": [ + "pull_request:5340", + "pull_request:5355" + ], + "soft_pairs": [ + "pull_request:5340|pull_request:5355" + ], + "prepared_review_unit_hash": "291803bd61417968e28287b44f073efe481d2d7d1d2579f1edf75b57556fb7fc", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4324, + "estimated_input_tokens": 1081, + "estimated_eval_tokens": 2418 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4324, + "estimated_input_tokens": 1081, + "estimated_eval_tokens": 2418 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are both about multi-GPU behavior, but they fix different concrete problems in different example scripts: one is checkpoint/main-process handling in unconditional image generation, the other is DDP find_unused_parameters in SDXL LoRA training. They are not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5355 is the better canonical representative because it targets a specific multi-GPU runtime error, has an explicit issue link, and touches the exact training scripts affected by that bug.", + "best_issue_reason": null, + "best_pr_reason": "PR 5355 is the strongest overall representative for the cluster because it addresses a clearly stated failure mode with a focused code change and broader applicability across two related scripts.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5340", + "right": "pull_request:5355", + "accept": false, + "reason": "Different bugs and code paths: 5340 changes checkpoint/main-process handling in unconditional image generation, while 5355 adds DDP kwargs for find_unused_parameters in SDXL LoRA scripts." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 190, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5347-2", + "nodes": [ + "pull_request:5347", + "pull_request:5349" + ], + "soft_pairs": [ + "pull_request:5347|pull_request:5349" + ], + "prepared_review_unit_hash": "a4510e958961524200475710839fac2adf7a001eb653d8ce565fd54846f3e203", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5211, + "estimated_input_tokens": 1303, + "estimated_eval_tokens": 2862 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5211, + "estimated_input_tokens": 1303, + "estimated_eval_tokens": 2862 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two pull requests are effectively duplicates: both add the same xformers CUDA test runner and supporting Docker/workflow changes. The merged PR 5349 is the better canonical PR candidate.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5349 is the stronger canonical choice because it is the merged version of the same xformers test-runner change, with the same files and workflow intent as 5347.", + "best_issue_reason": null, + "best_pr_reason": "PR 5349 is best overall because it was actually merged and represents the final accepted implementation of the shared xformers runner change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5347", + "right": "pull_request:5349", + "accept": true, + "reason": "Same underlying change: both PRs add the dedicated xformers CUDA test runner, touch the same workflow/Docker files, and the diff previews are nearly identical. They could plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 191, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5426-2", + "nodes": [ + "pull_request:5426", + "pull_request:5597" + ], + "soft_pairs": [ + "pull_request:5426|pull_request:5597" + ], + "prepared_review_unit_hash": "7e573c30149e5007583d443526feac9be22ff0c73f9215f445bfa93b687e9328", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3943, + "estimated_input_tokens": 986, + "estimated_eval_tokens": 2228 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3943, + "estimated_input_tokens": 986, + "estimated_eval_tokens": 2228 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate Docker image updates in different paths: one for slow CUDA test images and one for the xformers CUDA image. They share a broad CUDA-upgrade theme but not the same underlying change or code path.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5426 is the better representative because it is the broader CUDA base-image update and touches both slow-test Dockerfiles, making it the more central change in this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #5426 is the best overall candidate in the cluster: it is the more general infrastructure update, while #5597 is a narrower xformers-specific image tweak with an additional torch/torchvision unpinning.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5426", + "right": "pull_request:5597", + "accept": false, + "reason": "Different Dockerfiles and different purposes: #5426 updates base images for slow CUDA tests, while #5597 updates the xformers CUDA image and changes package pinning. They are related only at a high level, not the same concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 192, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5464-4", + "nodes": [ + "pull_request:5464", + "pull_request:5582", + "pull_request:5810", + "pull_request:7340" + ], + "soft_pairs": [ + "pull_request:5464|pull_request:5582", + "pull_request:5464|pull_request:5810", + "pull_request:5464|pull_request:7340", + "pull_request:5582|pull_request:5810", + "pull_request:5582|pull_request:7340", + "pull_request:5810|pull_request:7340" + ], + "prepared_review_unit_hash": "7e62c4f245e5ed48aac05adc1044f4b9edc6309079ed8faecbe86a630789f150", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 10144, + "estimated_input_tokens": 2536, + "estimated_eval_tokens": 5328 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 10144, + "estimated_input_tokens": 2536, + "estimated_eval_tokens": 5328 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These pull requests are all unrelated despite similar \u201cdeleted\u201d titles and soft-similarity signals: three are trivial documentation/whitespace cleanup PRs, while one is a scheduler test adjustment for LMSDiscreteScheduler. They do not represent the same underlying change and should not be clustered as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR is a true duplicate match. If one representative is needed, PR #7340 is the best substantive code-change example because it fixes a concrete test-path behavior; the others are mostly docs or formatting cleanups.", + "best_issue_reason": null, + "best_pr_reason": "PR #7340 is the strongest standalone PR in the set because it changes test logic for a specific scheduler code path. The other PRs are low-signal maintenance edits and are not good representatives of the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5464", + "right": "pull_request:5582", + "accept": false, + "reason": "Different changes: alt-diffusion pipeline whitespace vs. issue/PR template and repo metadata/docs edits. No shared bug or fix path." + }, + { + "left": "pull_request:5464", + "right": "pull_request:5810", + "accept": false, + "reason": "Different files and intent: pipeline formatting cleanup vs. README wording/typo fixes. Not the same underlying change." + }, + { + "left": "pull_request:5464", + "right": "pull_request:7340", + "accept": false, + "reason": "Unrelated code paths: pipeline whitespace cleanup vs. scheduler test behavior for LMSDiscreteScheduler. Not mergeable as one fix." + }, + { + "left": "pull_request:5582", + "right": "pull_request:5810", + "accept": false, + "reason": "Both are documentation/repo text changes, but they target different templates/content and do not fix the same concrete problem." + }, + { + "left": "pull_request:5582", + "right": "pull_request:7340", + "accept": false, + "reason": "Repository docs/config cleanup vs. scheduler test logic fix. No shared underlying bug or change." + }, + { + "left": "pull_request:5810", + "right": "pull_request:7340", + "accept": false, + "reason": "README wording cleanup is unrelated to the scheduler test adjustment; they affect different subsystems and purposes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 193, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5486-3", + "nodes": [ + "pull_request:5486", + "pull_request:5717", + "pull_request:7065" + ], + "soft_pairs": [ + "pull_request:5486|pull_request:5717", + "pull_request:5486|pull_request:7065" + ], + "prepared_review_unit_hash": "2f6e7f796e01523e0c844d44cdeef97e472266bd1b468231db1b6c11ad79b062", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6053, + "estimated_input_tokens": 1514, + "estimated_eval_tokens": 3284 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6053, + "estimated_input_tokens": 1514, + "estimated_eval_tokens": 3284 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three unrelated merged PRs: a docs typo fix, a ControlNet example forward-signature compatibility fix, and a TensorRT pipeline bugfix for guidance_scale assignment. They do not look like duplicates or the same underlying change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 7065 is the strongest canonical PR candidate because it fixes a concrete runtime bug in the TensorRT pipelines across two files, with a clear code-path impact.", + "best_issue_reason": null, + "best_pr_reason": "PR 7065 is the best representative of a substantive bugfix; the other PRs are narrower and/or documentation/example maintenance rather than the same underlying issue.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5486", + "right": "pull_request:5717", + "accept": false, + "reason": "Different targets and problems: docs typo cleanup vs example forward-signature compatibility fix. Same broad ControlNet area, but not the same bug or mergeable into one change." + }, + { + "left": "pull_request:5486", + "right": "pull_request:7065", + "accept": false, + "reason": "One is a documentation typo fix, the other is a TensorRT runtime bugfix in pipeline code. No shared underlying defect." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 194, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5514-2", + "nodes": [ + "pull_request:5514", + "pull_request:5659" + ], + "soft_pairs": [ + "pull_request:5514|pull_request:5659" + ], + "prepared_review_unit_hash": "6d22d8cddcbe4c31316eba3baa3e4b9a5d938b5389ea386eef30d6be2398410c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3925, + "estimated_input_tokens": 982, + "estimated_eval_tokens": 2220 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3925, + "estimated_input_tokens": 982, + "estimated_eval_tokens": 2220 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two unrelated pull requests: one changes the community LCM example constructor/default scheduler behavior, while the other fixes custom pipeline loading so Hub repo revisions are honored. They do not look like the same underlying bug or mergeable change.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5659 is the stronger representative because it is merged and fixes a concrete code-path bug in `pipeline_utils.py` around `hub_revision` vs `revision` when loading custom pipelines.", + "best_issue_reason": null, + "best_pr_reason": "PR #5659 is the best fit overall: it is merged, narrowly scoped, and clearly addresses a specific runtime behavior in the pipeline loading path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5514", + "right": "pull_request:5659", + "accept": false, + "reason": "Different concerns and code paths: #5514 edits a community LCM example\u2019s scheduler defaults, while #5659 fixes revision propagation in dynamic custom-pipeline loading. They are not the same bug or a single combined change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 195, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5521-7", + "nodes": [ + "pull_request:5521", + "pull_request:5583", + "pull_request:5584", + "pull_request:5585", + "pull_request:5586", + "pull_request:5587", + "pull_request:5588" + ], + "soft_pairs": [ + "pull_request:5521|pull_request:5583", + "pull_request:5521|pull_request:5584", + "pull_request:5521|pull_request:5585", + "pull_request:5521|pull_request:5586", + "pull_request:5521|pull_request:5587", + "pull_request:5583|pull_request:5584", + "pull_request:5583|pull_request:5585", + "pull_request:5583|pull_request:5586", + "pull_request:5583|pull_request:5587", + "pull_request:5584|pull_request:5585", + "pull_request:5584|pull_request:5586", + "pull_request:5584|pull_request:5587", + "pull_request:5584|pull_request:5588", + "pull_request:5585|pull_request:5586", + "pull_request:5585|pull_request:5587", + "pull_request:5585|pull_request:5588", + "pull_request:5586|pull_request:5587", + "pull_request:5586|pull_request:5588", + "pull_request:5587|pull_request:5588", + "pull_request:5521|pull_request:5588" + ], + "prepared_review_unit_hash": "81bd6d1212638523053999727e10c5a52aaaa10987034dbda1ade47e7dfe5447", + "component_budget": { + "node_count": 7, + "item_count": 7, + "soft_pair_count": 20, + "serialized_chars": 25163, + "estimated_input_tokens": 6291, + "estimated_eval_tokens": 12838 + }, + "budget": { + "node_count": 7, + "item_count": 7, + "soft_pair_count": 20, + "serialized_chars": 25163, + "estimated_input_tokens": 6291, + "estimated_eval_tokens": 12838 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are separate documentation-cleanup PRs spread across different docs sections; they share a general typo-fix theme but do not look like duplicate changes. PR 5588 is the broadest representative of the cluster, but none of the pairs are strong enough to merge as duplicates.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "No exact duplicate PR stands out; 5588 is the best representative because it is the broadest docs/.github cleanup and overlaps the most with the rest of the cluster without being identical to any one of them.", + "best_issue_reason": null, + "best_pr_reason": "5588 has the widest scope and most central coverage of the recurring typo-fix theme, so it is the most useful representative PR for the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5521", + "right": "pull_request:5583", + "accept": false, + "reason": "Different docs areas: templates/main docs vs specific pipeline pages; same theme, but not the same change." + }, + { + "left": "pull_request:5521", + "right": "pull_request:5584", + "accept": false, + "reason": "Overlapping typo-cleanup theme, but the file sets target different docs sections and the PRs are not the same concrete change." + }, + { + "left": "pull_request:5521", + "right": "pull_request:5585", + "accept": false, + "reason": "One is broad main/docs cleanup, the other is conceptual-guide cleanup; related only at a high level." + }, + { + "left": "pull_request:5521", + "right": "pull_request:5586", + "accept": false, + "reason": "Different docs surfaces: main/docs and .github files versus tutorials; not the same underlying change." + }, + { + "left": "pull_request:5521", + "right": "pull_request:5587", + "accept": false, + "reason": "Different scope and files; these are separate docs cleanup batches." + }, + { + "left": "pull_request:5521", + "right": "pull_request:5588", + "accept": false, + "reason": "They overlap on several docs/.github files, but 5588 also adds distinct files and is a separate broader cleanup rather than the same PR change." + }, + { + "left": "pull_request:5583", + "right": "pull_request:5584", + "accept": false, + "reason": "Pipeline docs typos vs loading/hub docs typos; same maintenance type, different content and change set." + }, + { + "left": "pull_request:5583", + "right": "pull_request:5585", + "accept": false, + "reason": "They touch different documentation pages and do not fix the same concrete issue." + }, + { + "left": "pull_request:5583", + "right": "pull_request:5586", + "accept": false, + "reason": "Different docs sections and unrelated file sets; not mergeable as one change." + }, + { + "left": "pull_request:5583", + "right": "pull_request:5587", + "accept": false, + "reason": "Separate documentation pages and separate cleanup batches." + }, + { + "left": "pull_request:5584", + "right": "pull_request:5585", + "accept": false, + "reason": "Loading/hub docs versus conceptual guides; only a broad typo-fix theme in common." + }, + { + "left": "pull_request:5584", + "right": "pull_request:5586", + "accept": false, + "reason": "Different docs sections and content, so not the same underlying change." + }, + { + "left": "pull_request:5584", + "right": "pull_request:5587", + "accept": false, + "reason": "Distinct docs areas with different edited files; no duplicate relationship." + }, + { + "left": "pull_request:5584", + "right": "pull_request:5588", + "accept": false, + "reason": "Some overlap in general docs cleanup, but the edits and scope differ enough that they are separate PRs." + }, + { + "left": "pull_request:5585", + "right": "pull_request:5586", + "accept": false, + "reason": "Conceptual guides versus tutorials; different docs batches and no shared concrete bug." + }, + { + "left": "pull_request:5585", + "right": "pull_request:5587", + "accept": false, + "reason": "Different documentation areas and change sets." + }, + { + "left": "pull_request:5585", + "right": "pull_request:5588", + "accept": false, + "reason": "Broad docs cleanup overlap only; 5588 is a separate, larger PR with additional files." + }, + { + "left": "pull_request:5586", + "right": "pull_request:5587", + "accept": false, + "reason": "Tutorial pages versus getting-started pages; same general maintenance theme, not the same change." + }, + { + "left": "pull_request:5586", + "right": "pull_request:5588", + "accept": false, + "reason": "Different docs sections and file lists; they are not the same concrete update." + }, + { + "left": "pull_request:5587", + "right": "pull_request:5588", + "accept": false, + "reason": "Getting-started cleanup versus broader main-page/.github cleanup; related but distinct PRs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 196, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5589-2", + "nodes": [ + "pull_request:5589", + "pull_request:5680" + ], + "soft_pairs": [ + "pull_request:5589|pull_request:5680" + ], + "prepared_review_unit_hash": "044cd7309a5e0437983935dfb5baea66f33708380b1dc4ff62be32650f7e70bf", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6226, + "estimated_input_tokens": 1557, + "estimated_eval_tokens": 3370 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6226, + "estimated_input_tokens": 1557, + "estimated_eval_tokens": 3370 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are related cleanup passes around diffusion pipeline offloading hooks, but they target different sets of pipelines and slightly different code paths, so they are not strong duplicates.", + "confidence": 0.78, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5680 is the broader representative: it updates free-model hook handling across many pipelines and also removes a specific unet offload call, making it more comprehensive than #5589.", + "best_issue_reason": null, + "best_pr_reason": "PR #5680 best represents the cluster because it covers the widest hook-offloading cleanup and generalizes the pattern beyond the narrower final-offload updates in #5589.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5589", + "right": "pull_request:5680", + "accept": false, + "reason": "Related offloading-hook cleanup, but the diffs touch different pipeline sets and code paths; this looks like adjacent maintenance rather than the same concrete fix that should be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 197, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5696-2", + "nodes": [ + "pull_request:5696", + "pull_request:5704" + ], + "soft_pairs": [ + "pull_request:5696|pull_request:5704" + ], + "prepared_review_unit_hash": "32628422260c7d3b363e5564297ff4ab50d83120c67d2f7153e58c54b4e00e0b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4519, + "estimated_input_tokens": 1130, + "estimated_eval_tokens": 2516 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4519, + "estimated_input_tokens": 1130, + "estimated_eval_tokens": 2516 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are about Wuerstchen/PEFT compatibility and share issue #5524, but they fix different concrete paths: #5696 tweaks attention_processor offload handling plus WuerstchenPrior, while #5704 changes Wuerstchen common layers to switch Linear/Conv implementations under USE_PEFT_BACKEND and adds tests. They are related, but not the same underlying change.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5704 is the best canonical PR: it is the merged change, has tests, and addresses the broader Wuerstchen + USE_PEFT_BACKEND compatibility path.", + "best_issue_reason": null, + "best_pr_reason": "PR #5704 is the strongest representative because it is merged, test-backed, and covers the main PEFT-backend fix for Wuerstchen.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5696", + "right": "pull_request:5704", + "accept": false, + "reason": "Shared tracking issue and subsystem, but the code changes target different concrete bugs/code paths; they do not look like one mergeable PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 198, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5739-2", + "nodes": [ + "pull_request:5739", + "pull_request:5752" + ], + "soft_pairs": [ + "pull_request:5739|pull_request:5752" + ], + "prepared_review_unit_hash": "8efd8411bc5cf4639fa1537008a2ce211fb45459cd04dd3dc299715b3ce1daba", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4515, + "estimated_input_tokens": 1129, + "estimated_eval_tokens": 2514 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4515, + "estimated_input_tokens": 1129, + "estimated_eval_tokens": 2514 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged PixArt-Alpha PRs touch the same pipeline and tests, but they fix different problems: one adds resolution binning, the other fixes multi-image generation behavior. They are related, not duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5752 is the more concrete bug fix: it addresses incorrect behavior when generating multiple images by adjusting prompt/attention-mask handling in the PixArt-Alpha pipeline.", + "best_issue_reason": null, + "best_pr_reason": "PR #5752 is the best representative because it targets a specific user-visible failure mode and has a narrow, well-defined code-path fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5739", + "right": "pull_request:5752", + "accept": false, + "reason": "Both touch PixArt-Alpha, but #5739 adds resolution binning while #5752 fixes multi-image generation. Different underlying bugs and different code paths; not mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 199, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-583-2", + "nodes": [ + "pull_request:583", + "pull_request:600" + ], + "soft_pairs": [ + "pull_request:583|pull_request:600" + ], + "prepared_review_unit_hash": "0b0bb28c01125b4861af62e6842b6240752f7d31cea82ee80cf6548414f89c05", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4422, + "estimated_input_tokens": 1106, + "estimated_eval_tokens": 2468 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4422, + "estimated_input_tokens": 1106, + "estimated_eval_tokens": 2468 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are in the same Flax Stable Diffusion area but fix different things: PR 583 adds PNDM scheduler support, while PR 600 lets dtype be passed through config initialization. They are not duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 583 is the broader, more central Flax pipeline change; PR 600 is an orthogonal configuration tweak and should not be merged as a duplicate.", + "best_issue_reason": null, + "best_pr_reason": "PR 583 is the better anchor for the cluster because it is the more substantial pipeline change, but it is not the same change as PR 600.", + "soft_edge_verdicts": [ + { + "left": "pull_request:583", + "right": "pull_request:600", + "accept": false, + "reason": "Different concrete changes: scheduler integration vs. dtype config plumbing. Shared filename alone is not enough to treat them as the same PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 200, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-587-2", + "nodes": [ + "pull_request:587", + "pull_request:664" + ], + "soft_pairs": [ + "pull_request:587|pull_request:664" + ], + "prepared_review_unit_hash": "906b8a6bd22ca7d9a16e29fb1382a9291f4fa173c21bac554341dc1335b17e03", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4472, + "estimated_input_tokens": 1118, + "estimated_eval_tokens": 2492 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4472, + "estimated_input_tokens": 1118, + "estimated_eval_tokens": 2492 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are not duplicates: PR #587 adds K-LMS support to image-to-image/inpainting pipelines, while PR #664 fixes a separate LMS scheduler regression in sigma construction/ordering. They touch different code paths and address different problems.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #664 is the cleaner canonical representative because it is a focused bug fix for the LMS scheduler regression, whereas PR #587 is a broader pipeline feature/integration change.", + "best_issue_reason": null, + "best_pr_reason": "PR #664 is the best overall representative of a concrete underlying bug fix in this cluster; PR #587 is a separate pipeline enhancement rather than the same defect.", + "soft_edge_verdicts": [ + { + "left": "pull_request:587", + "right": "pull_request:664", + "accept": false, + "reason": "Different changes: #587 wires K-LMS into img2img/inpaint and adjusts latent/device handling, while #664 changes LMS sigma computation to fix a regression. They do not look like the same underlying bug or a mergeable combined PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 201, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5878-3", + "nodes": [ + "pull_request:5878", + "pull_request:5879", + "pull_request:6031" + ], + "soft_pairs": [ + "pull_request:5878|pull_request:5879", + "pull_request:5879|pull_request:6031" + ], + "prepared_review_unit_hash": "c813d1d8e0d1f1dfa1be87550ab16273d40ba9c1e1c1d6217d6ac7d97941b8c0", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 10140, + "estimated_input_tokens": 2535, + "estimated_eval_tokens": 5326 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 10140, + "estimated_input_tokens": 2535, + "estimated_eval_tokens": 5326 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "PRs 5878 and 5879 are near-duplicates fixing the same VAE scale-factor fallback across the same set of pipelines; 6031 is a separate LoRA padding_mode bugfix and should not be clustered with them.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5878 is the cleaner canonical representative: its title clearly states the VAE robustness fix and its diff matches the shared code-path change seen in 5879.", + "best_issue_reason": null, + "best_pr_reason": "PR 5878 is the best global PR candidate because it cleanly addresses the VAE config fallback bug across multiple pipelines; 5879 is the same change with a worse title, and 6031 is unrelated.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5878", + "right": "pull_request:5879", + "accept": true, + "reason": "Same underlying fix: both change VAE scale factor computation to fall back from block_out_channels to decoder_block_out_channels in the same pipeline files." + }, + { + "left": "pull_request:5879", + "right": "pull_request:6031", + "accept": false, + "reason": "Different bugs and code paths: 5879 is about VAE config compatibility in pipelines, while 6031 fixes LoRACompatibleConv padding_mode handling in lora.py." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 202, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5935-2", + "nodes": [ + "pull_request:5935", + "pull_request:6040" + ], + "soft_pairs": [ + "pull_request:5935|pull_request:6040" + ], + "prepared_review_unit_hash": "aba7272e74d2c29a5f5c3e2ff584420c3d26a6c2eb88ae5ff7349bf8f81f3b0d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4424, + "estimated_input_tokens": 1106, + "estimated_eval_tokens": 2468 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4424, + "estimated_input_tokens": 1106, + "estimated_eval_tokens": 2468 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests touch the same example script, but they fix different parts of it: PR 5935 is a broader LoRA Dreambooth SDXL training-script improvement patch, while PR 6040 only changes the `token_abstraction` argument handling/help text. They are not duplicates or the same mergeable change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5935 is the better canonical PR for the cluster because it is the broader, earlier fix to the example training script and includes substantive code-path changes, whereas PR 6040 is a narrow CLI-argument adjustment.", + "best_issue_reason": null, + "best_pr_reason": "PR 5935 is the best representative of the cluster since it covers the larger underlying script fix and is more central than the later argument-type tweak in PR 6040.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5935", + "right": "pull_request:6040", + "accept": false, + "reason": "Reject: they modify the same file but address different changes. PR 5935 adds/adjusts LoRA text encoder state-dict logic and related training-script fixes; PR 6040 only changes `--token_abstraction` to a string and updates its help text. They do not appear to fix the same concrete bug or be mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 203, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5970-2", + "nodes": [ + "pull_request:5970", + "pull_request:5971" + ], + "soft_pairs": [ + "pull_request:5970|pull_request:5971" + ], + "prepared_review_unit_hash": "cbf3f798c1febcece245a3234e04234bd26e2100dd497dd3c6f248c6410f94c5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3660, + "estimated_input_tokens": 915, + "estimated_eval_tokens": 2086 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3660, + "estimated_input_tokens": 915, + "estimated_eval_tokens": 2086 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two closed PRs are near-duplicates: both add a GPU-memory cleanup before final inference in the same Dreambooth SDXL training script, with only minor wording/cleanup differences.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5971 is the cleaner duplicate target: it makes the same final-inference memory-saving change in the same code path and has much more review activity, so it is the better canonical representative.", + "best_issue_reason": null, + "best_pr_reason": "PR 5971 is the best overall representative because it addresses the same concrete memory-release step, has the more polished diff, and received substantially more review attention.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5970", + "right": "pull_request:5971", + "accept": true, + "reason": "Same file, same insertion point, and same underlying change: free model/optimizer GPU memory before final inference. The extra lora-layer deletion in 5970 is a minor variant, not a different fix." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs edit the same file at the same location to free GPU memory before final inference, and 5970\u2019s extra lora-layer deletion is a small variant rather than a separate bugfix. The canonical/representative choice is also supported by the higher review activity on 5971. No overstatement detected." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 204, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6043-3", + "nodes": [ + "pull_request:6043", + "pull_request:7343", + "pull_request:7344" + ], + "soft_pairs": [ + "pull_request:6043|pull_request:7344", + "pull_request:7343|pull_request:7344" + ], + "prepared_review_unit_hash": "a9f94348d72402c8b1e6e4ca05a606128ce985a4719bca68684762a30b1d0c2a", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6414, + "estimated_input_tokens": 1604, + "estimated_eval_tokens": 3464 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6414, + "estimated_input_tokens": 1604, + "estimated_eval_tokens": 3464 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three unrelated pull requests: one fixes a deprecation warning in `single_file.py`, one updates many code examples and pipelines to use `*.config.in_channels`, and one only adjusts a config-loading test. They are not the same underlying change.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 7343 is the best representative because it is the substantive code change in the cluster; 7344 is test-only and 6043 is a separate deprecation fix.", + "best_issue_reason": null, + "best_pr_reason": "PR 7343 is the strongest standalone PR in this set: it changes actual runtime code across multiple paths, unlike 7344\u2019s test tweak and 6043\u2019s unrelated warning cleanup.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6043", + "right": "pull_request:7344", + "accept": false, + "reason": "Different topics and code paths: a single-file deprecation warning fix vs. a test-only config-loading change." + }, + { + "left": "pull_request:7343", + "right": "pull_request:7344", + "accept": false, + "reason": "They both touch config-related code, but 7343 updates `config.in_channels` usage across runtime/docs while 7344 only changes a unit test; not the same concrete bug or mergeable change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 205, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6138-2", + "nodes": [ + "pull_request:6138", + "pull_request:6959" + ], + "soft_pairs": [ + "pull_request:6138|pull_request:6959" + ], + "prepared_review_unit_hash": "b7c0afbb8dd01bcf3d0ea925ae23f881ce586895d2b4465fa9be544999b225ae", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4286, + "estimated_input_tokens": 1072, + "estimated_eval_tokens": 2400 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4286, + "estimated_input_tokens": 1072, + "estimated_eval_tokens": 2400 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs both touch `from_single_file`, but they address different problems: one adds SDXL inpaint support by plumbing `text_encoder_2`/`tokenizer_2`, while the other exposes `config_file` for ControlNet single-file loading. They are not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6959 is the better representative because it is merged, narrowly scoped, and fixes a concrete `from_single_file` ControlNet loading gap with a small change set.", + "best_issue_reason": null, + "best_pr_reason": "PR #6959 is the best PR overall in this cluster because it is merged and appears to be the completed, user-facing fix; PR #6138 is unmerged and targets a different SDXL code path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6138", + "right": "pull_request:6959", + "accept": false, + "reason": "They both use `from_single_file`, but one fixes SDXL inpaint argument plumbing and the other adds `config_file` support for ControlNet. Different code paths, different bugs, not one mergeable change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 206, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6286-2", + "nodes": [ + "pull_request:6286", + "pull_request:6334" + ], + "soft_pairs": [ + "pull_request:6286|pull_request:6334" + ], + "prepared_review_unit_hash": "f2515184f881517c6986ea322f5fc059bd79e06c0434d390cb84d20b9fe5ab5c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4418, + "estimated_input_tokens": 1105, + "estimated_eval_tokens": 2466 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4418, + "estimated_input_tokens": 1105, + "estimated_eval_tokens": 2466 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch ControlNet input validation, but they are not the same change: #6286 only fixes a typo in an error message, while #6334 makes the substantive behavior change for multiple image conditionings and adds tests.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "#6334 is the substantive bugfix: it adjusts ControlNet input handling for multiple image conditionings, removes an incorrect prompt warning, and includes tests. #6286 is just a wording/typo correction.", + "best_issue_reason": null, + "best_pr_reason": "#6334 is the best representative of the underlying code-path change because it fixes actual behavior in `StableDiffusionControlNetPipeline`, not just user-facing text.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6286", + "right": "pull_request:6334", + "accept": false, + "reason": "Different scopes and fix types: #6286 only changes ValueError wording, while #6334 changes validation logic for multiple conditionings and test coverage. They are not the same underlying bug/change and would not plausibly be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 207, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6338-3", + "nodes": [ + "pull_request:6338", + "pull_request:6629", + "pull_request:6637" + ], + "soft_pairs": [ + "pull_request:6338|pull_request:6629", + "pull_request:6338|pull_request:6637", + "pull_request:6629|pull_request:6637" + ], + "prepared_review_unit_hash": "74adefec81054e60296200895d4e0d81486d6931e5453616387699328ae8db2b", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 8933, + "estimated_input_tokens": 2234, + "estimated_eval_tokens": 4724 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 8933, + "estimated_input_tokens": 2234, + "estimated_eval_tokens": 4724 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related Japanese documentation translation/update PRs, but they are separate content batches: tutorials, an autopipeline page, and loading docs. They share the same docs tree file, but they do not fix the same underlying change, so they should not be deduplicated as PRs.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 6338 is the most representative by being a merged, self-contained JA docs update in the same area, but it is still a distinct docs batch rather than a duplicate of the others.", + "best_issue_reason": null, + "best_pr_reason": "PR 6338 is the best single representative for the cluster because it is merged and central to the Japanese docs/tutorials updates, but the cluster does not contain true duplicates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6338", + "right": "pull_request:6629", + "accept": false, + "reason": "Both edit the Japanese docs toctree, but one updates tutorials/index content while the other adds an autopipeline tutorial page. Different doc additions, not the same change." + }, + { + "left": "pull_request:6338", + "right": "pull_request:6637", + "accept": false, + "reason": "They overlap only at the JA toctree; one is a tutorials translation update and the other is a loading-docs translation set. Separate documentation batches, not one concrete fix/change." + }, + { + "left": "pull_request:6629", + "right": "pull_request:6637", + "accept": false, + "reason": "Shared docs infrastructure does not make these duplicates. One adds AutoPipeline docs, the other translates loading-related docs, so they are distinct PRs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 208, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6390-4", + "nodes": [ + "pull_request:6390", + "pull_request:7596", + "pull_request:7639", + "pull_request:9365" + ], + "soft_pairs": [ + "pull_request:6390|pull_request:7639", + "pull_request:7596|pull_request:7639", + "pull_request:7639|pull_request:9365" + ], + "prepared_review_unit_hash": "3dbf81a5c12a3a7a8025d0753affa71a03a395b73c9ca3ede503014c0bad362d", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 7558, + "estimated_input_tokens": 1890, + "estimated_eval_tokens": 4036 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 7558, + "estimated_input_tokens": 1890, + "estimated_eval_tokens": 4036 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are separate documentation/feature PRs for different optimization methods (DeepCache, TGATE, xDiT) plus one TGATE code PR. They share the same docs section and some topical overlap, but they do not describe the same underlying change.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true canonical duplicate PR here. If a representative is needed, PR 7639 is the closest topical anchor because it introduces the TGATE docs page, but it is still distinct from the DeepCache, xDiT, and TGATE implementation PRs.", + "best_issue_reason": null, + "best_pr_reason": "PR 7639 is the best representative only by topic centrality within the optimization docs area; it is not a duplicate of the other PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6390", + "right": "pull_request:7639", + "accept": false, + "reason": "Different features: 6390 adds DeepCache docs, while 7639 adds TGATE docs. Shared docs section is not enough to treat them as the same change." + }, + { + "left": "pull_request:7596", + "right": "pull_request:7639", + "accept": false, + "reason": "Both mention TGATE, but 7596 is a PixArt-Alpha inference/code feature and 7639 is a docs-only TGATE page. Different concrete changes and code paths." + }, + { + "left": "pull_request:7639", + "right": "pull_request:9365", + "accept": false, + "reason": "TGATE docs vs xDiT docs. They only overlap at the optimization documentation level and do not fix or add the same underlying capability." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 209, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6477-2", + "nodes": [ + "pull_request:6477", + "pull_request:7817" + ], + "soft_pairs": [ + "pull_request:6477|pull_request:7817" + ], + "prepared_review_unit_hash": "af0c403a7a507f95689145252abe48b06d2d1fa5ec5e9d8c400d09d9cdfd91c8", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6352, + "estimated_input_tokens": 1588, + "estimated_eval_tokens": 3432 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6352, + "estimated_input_tokens": 1588, + "estimated_eval_tokens": 3432 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two pull requests touch some of the same scheduler code, but they address different changes: one fixes `use_karras_sigmas` final-sigma behavior, while the other adds custom `timesteps`/`sigmas` support across schedulers. They are not the same underlying bug or mergeable fix.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7817 is the broader scheduler API change and is the better representative of this cluster; PR #6477 is a narrower bug fix for a specific `use_karras_sigmas` edge case.", + "best_issue_reason": null, + "best_pr_reason": "PR #7817 is the best global representative because it introduces the more general feature area (custom timestep/sigma schedules) and spans more scheduler entry points, while PR #6477 is a targeted correction to DPMSolver sigma handling.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6477", + "right": "pull_request:7817", + "accept": false, + "reason": "Shared scheduler files alone are not enough: #6477 fixes `use_karras_sigmas` final-sigma behavior, whereas #7817 adds custom `timesteps` and `sigmas` support. Different code-path problems, not one duplicate change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 210, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-648-2", + "nodes": [ + "pull_request:648", + "pull_request:767" + ], + "soft_pairs": [ + "pull_request:648|pull_request:767" + ], + "prepared_review_unit_hash": "499910d43a2a7c4c8a6a83d1275e1f9b807b7fa8733d14ee20800a27f87278c2", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4564, + "estimated_input_tokens": 1141, + "estimated_eval_tokens": 2538 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4564, + "estimated_input_tokens": 1141, + "estimated_eval_tokens": 2538 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs modify the same add_noise path in DDIM/DDPM/PNDM, but they are not duplicates: #648 fixes device placement, while #767 extends the fix to handle dtype as well. They are closely related, but not the same underlying change.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #767 is the better canonical PR because it is the more complete follow-up for the same add_noise code path, adding the dtype handling on top of the device fix and covering the broader scheduler set.", + "best_issue_reason": null, + "best_pr_reason": "PR #767 is the best representative of the cluster since it subsumes the earlier device-mismatch fix and adds the additional dtype correction in the same function.", + "soft_edge_verdicts": [ + { + "left": "pull_request:648", + "right": "pull_request:767", + "accept": false, + "reason": "Related scheduler add_noise fixes, but not the same concrete bug/change: #648 addresses device movement for alphas_cumprod/timesteps, while #767 adds dtype handling and a broader correction. They would not be redundant duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 211, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6551-6", + "nodes": [ + "pull_request:6551", + "pull_request:8275", + "pull_request:8789", + "pull_request:8948", + "pull_request:8972", + "pull_request:9337" + ], + "soft_pairs": [ + "pull_request:6551|pull_request:8789", + "pull_request:8275|pull_request:8789", + "pull_request:8789|pull_request:8972", + "pull_request:8948|pull_request:8972", + "pull_request:8972|pull_request:9337" + ], + "prepared_review_unit_hash": "d474a4028d9a030fb2c9dad785b443cd511913b60504a909d75436dba92febc1", + "component_budget": { + "node_count": 6, + "item_count": 6, + "soft_pair_count": 5, + "serialized_chars": 15684, + "estimated_input_tokens": 3921, + "estimated_eval_tokens": 8098 + }, + "budget": { + "node_count": 6, + "item_count": 6, + "soft_pair_count": 5, + "serialized_chars": 15684, + "estimated_input_tokens": 3921, + "estimated_eval_tokens": 8098 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are thematically related around AnimateDiff, ControlNet, and video generation, but they address different features/code paths. None look like true duplicates or mergeable into a single change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8972 is the broadest concrete ControlNet upstreaming change and serves as the most central representative of the AnimateDiff ControlNet line, but it is still distinct from the later video-to-video ControlNet and other AnimateDiff feature PRs.", + "best_issue_reason": null, + "best_pr_reason": "PR 8972 is the best single representative because it is a focused, self-contained core feature addition with direct downstream relevance, unlike the other PRs which are narrower, adjacent extensions or different features altogether.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6551", + "right": "pull_request:8789", + "accept": false, + "reason": "6551 fixes multicontrolnet support in a community example; 8789 adds a PAG variant for AnimateDiff. Different functionality and code paths." + }, + { + "left": "pull_request:8275", + "right": "pull_request:8789", + "accept": false, + "reason": "8275 introduces long-context video generation utilities for AnimateDiff, while 8789 adds PAG. Related subsystem, but not the same change or bug." + }, + { + "left": "pull_request:8789", + "right": "pull_request:8972", + "accept": false, + "reason": "8789 is a PAG AnimateDiff pipeline; 8972 moves/installs ControlNet into core. Different feature areas and implementation targets." + }, + { + "left": "pull_request:8948", + "right": "pull_request:8972", + "accept": false, + "reason": "8948 implements FreeNoise across AnimateDiff-related pipelines; 8972 is specifically the core ControlNet migration. Different underlying change." + }, + { + "left": "pull_request:8972", + "right": "pull_request:9337", + "accept": false, + "reason": "8972 moves the community ControlNet pipeline to core, while 9337 adds a separate video-to-video ControlNet pipeline. They share ancestry but are not the same concrete code-path fix and would not collapse into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 212, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6587-9", + "nodes": [ + "pull_request:6587", + "pull_request:6590", + "pull_request:6608", + "pull_request:6672", + "pull_request:6719", + "pull_request:6737", + "pull_request:6740", + "pull_request:6781", + "pull_request:6803" + ], + "soft_pairs": [ + "pull_request:6587|pull_request:6590", + "pull_request:6587|pull_request:6608", + "pull_request:6587|pull_request:6803", + "pull_request:6590|pull_request:6608", + "pull_request:6590|pull_request:6781", + "pull_request:6590|pull_request:6803", + "pull_request:6590|pull_request:6740", + "pull_request:6608|pull_request:6781", + "pull_request:6608|pull_request:6803", + "pull_request:6608|pull_request:6737", + "pull_request:6672|pull_request:6737", + "pull_request:6672|pull_request:6740", + "pull_request:6672|pull_request:6781", + "pull_request:6672|pull_request:6803", + "pull_request:6737|pull_request:6740", + "pull_request:6737|pull_request:6781", + "pull_request:6737|pull_request:6803", + "pull_request:6740|pull_request:6781", + "pull_request:6740|pull_request:6803", + "pull_request:6781|pull_request:6803", + "pull_request:6672|pull_request:6719" + ], + "prepared_review_unit_hash": "6b5d94e14e7088aa40ed5240b5881af74ca01ce6925a77881d946488aa8b8f00", + "component_budget": { + "node_count": 9, + "item_count": 9, + "soft_pair_count": 21, + "serialized_chars": 21891, + "estimated_input_tokens": 5473, + "estimated_eval_tokens": 11202 + }, + "budget": { + "node_count": 9, + "item_count": 9, + "soft_pair_count": 21, + "serialized_chars": 21891, + "estimated_input_tokens": 5473, + "estimated_eval_tokens": 11202 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is a set of related Windows path/posix cleanup PRs, but they are not all duplicates. I only accept the clearest same-file, same-codepath pair; the onnx_utils pair is related but not safely mergeable as a duplicate fix.", + "confidence": 0.75, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6737 is merged, explicitly targets #6585, and is the cleanest representative of the onnx_utils Windows-path fix in this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #6737 is the strongest global representative because it is merged, has an explicit issue link, and makes a focused concrete change in one code path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6587", + "right": "pull_request:6590", + "accept": false, + "reason": "Both are Windows-path cleanup PRs, but they touch different files and different code paths, so they are not the same underlying change." + }, + { + "left": "pull_request:6587", + "right": "pull_request:6608", + "accept": false, + "reason": "Different modules and different fixes; only the broad Windows-support theme overlaps." + }, + { + "left": "pull_request:6587", + "right": "pull_request:6803", + "accept": false, + "reason": "Same utility file, but different functions/code paths; related path cleanup, not a duplicate fix." + }, + { + "left": "pull_request:6590", + "right": "pull_request:6608", + "accept": false, + "reason": "Different files and separate save/load paths; too broad to call the same bug or change." + }, + { + "left": "pull_request:6590", + "right": "pull_request:6781", + "accept": false, + "reason": "Both are path-related, but they fix different loaders/save paths in different modules." + }, + { + "left": "pull_request:6590", + "right": "pull_request:6803", + "accept": false, + "reason": "Different files and different concrete path joins; not the same code-path problem." + }, + { + "left": "pull_request:6590", + "right": "pull_request:6740", + "accept": false, + "reason": "Only the broad Windows path theme is shared; this is not the same concrete change." + }, + { + "left": "pull_request:6608", + "right": "pull_request:6781", + "accept": false, + "reason": "Different files and different loading/saving paths; same style of fix, not the same bug." + }, + { + "left": "pull_request:6608", + "right": "pull_request:6803", + "accept": false, + "reason": "Different code paths in different modules; they are related but not duplicates." + }, + { + "left": "pull_request:6608", + "right": "pull_request:6737", + "accept": false, + "reason": "They are related onnx_utils path fixes, but the diffs differ in the actual code path and behavior: one changes the directory check and save-dir type, while the other only changes the load path. That is not safely the same duplicate fix." + }, + { + "left": "pull_request:6672", + "right": "pull_request:6737", + "accept": false, + "reason": "Same issue target and same theme, but different files and different code paths." + }, + { + "left": "pull_request:6672", + "right": "pull_request:6740", + "accept": false, + "reason": "Different modules and different path-join sites; only broad Windows support overlaps." + }, + { + "left": "pull_request:6672", + "right": "pull_request:6781", + "accept": false, + "reason": "Both convert joins to Path.as_posix(), but they act on different save/load paths in different files." + }, + { + "left": "pull_request:6672", + "right": "pull_request:6803", + "accept": false, + "reason": "Same file family but different functions; not the same concrete bug or change." + }, + { + "left": "pull_request:6737", + "right": "pull_request:6740", + "accept": false, + "reason": "Different files and separate code paths, even though both are Windows path fixes." + }, + { + "left": "pull_request:6737", + "right": "pull_request:6781", + "accept": false, + "reason": "Different modules and different save/load paths; too broad to merge as duplicates." + }, + { + "left": "pull_request:6737", + "right": "pull_request:6803", + "accept": false, + "reason": "Same general Windows-path theme, but not the same concrete code path." + }, + { + "left": "pull_request:6740", + "right": "pull_request:6781", + "accept": false, + "reason": "Different files and unrelated concrete path-construction sites." + }, + { + "left": "pull_request:6740", + "right": "pull_request:6803", + "accept": false, + "reason": "Related only by POSIX path cleanup; not the same underlying fix." + }, + { + "left": "pull_request:6781", + "right": "pull_request:6803", + "accept": false, + "reason": "Different modules and different save/load logic; same style of edit is not enough." + }, + { + "left": "pull_request:6672", + "right": "pull_request:6719", + "accept": true, + "reason": "Same unet.py save-function path construction change in the same code path; this is the clearest duplicate pair in the cluster." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is mostly grounded, but one soft-edge acceptance is too strong: pull_request:6608 vs pull_request:6737 is not clearly the same bugfix. The packet shows different edits in the same function: 6608 changes the directory check to `model_path.is_dir()` and also sets `model_save_dir` to a posix string, while 6737 keeps `os.path.isdir(model_id)`, changes only the load path to posix, and leaves `model_save_dir` as `Path(model_id)`. That looks related, but not safely mergeable as a single duplicate fix. The same-file duplicate verdict for 6672 vs 6719 is fine, but the cluster-level conclusion is a bit too broad given the 6608/6737 pair." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 213, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6627-2", + "nodes": [ + "pull_request:6627", + "pull_request:6849" + ], + "soft_pairs": [ + "pull_request:6627|pull_request:6849" + ], + "prepared_review_unit_hash": "913011688bec7951a4fc2fb947c08238e3fe47b093c558a80009db4d408bc8a6", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3233, + "estimated_input_tokens": 809, + "estimated_eval_tokens": 1874 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3233, + "estimated_input_tokens": 809, + "estimated_eval_tokens": 1874 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs patch the same bug in `load_hf_numpy` within `src/diffusers/utils/testing_utils.py`: constructing the Hugging Face dataset URL with `Path(...).as_posix()` / bad path logic, causing test failures on POSIX-style handling. They are effectively duplicate fixes for the same code path.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6849 is the cleaner, more direct fix of the same `load_hf_numpy` URL \u0928\u093f\u0930\u094d\u092e\u093e\u0923 bug and matches the final intended change with minimal extra context.", + "best_issue_reason": null, + "best_pr_reason": "PR #6849 is the best representative because it directly and narrowly fixes the path-joining bug in `testing_utils.py` without the broader/failing-tests framing, making it the clearest canonical duplicate target.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6627", + "right": "pull_request:6849", + "accept": true, + "reason": "Same function, same file, same underlying bug: incorrect URL/path construction in `load_hf_numpy`. The diffs are essentially the same fix and could plausibly be merged as one PR." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs modify `src/diffusers/utils/testing_utils.py` and target `load_hf_numpy`\u2019s URL/path construction around the Hugging Face base URL. The soft-edge accept is also reasonable because the changes are in the same function and are mergeable as one bugfix. Minor nuance: PR #6627 also changes the `http/https` conditional, so it is not perfectly identical to #6849, but the core overlap is supported." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 214, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6665-7", + "nodes": [ + "pull_request:6665", + "pull_request:8240", + "pull_request:8265", + "pull_request:8396", + "pull_request:8399", + "pull_request:8694", + "pull_request:8747" + ], + "soft_pairs": [ + "pull_request:6665|pull_request:8396", + "pull_request:8240|pull_request:8747", + "pull_request:8240|pull_request:8265", + "pull_request:8265|pull_request:8694", + "pull_request:8265|pull_request:8747", + "pull_request:8396|pull_request:8399", + "pull_request:8396|pull_request:8747" + ], + "prepared_review_unit_hash": "d2aedc61c9ea41e6d7c1671c3524c2c7598db5aef27ee9bbaea2a1036c87c236", + "component_budget": { + "node_count": 7, + "item_count": 7, + "soft_pair_count": 7, + "serialized_chars": 19723, + "estimated_input_tokens": 4931, + "estimated_eval_tokens": 10118 + }, + "budget": { + "node_count": 7, + "item_count": 7, + "soft_pair_count": 7, + "serialized_chars": 19723, + "estimated_input_tokens": 4931, + "estimated_eval_tokens": 10118 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is centered on HunyuanDiT-related PRs, but the individual PRs are mostly separate feature additions or refactors rather than duplicates. The initial HunyuanDiT implementation is the best representative; the rest are follow-on changes for ControlNet, memory optimization, attention refactoring, QKV fusion, and v1.2 support.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8240 is the foundational HunyuanDiT addition and broadest representative of the cluster; later PRs build on that codebase rather than replacing it.", + "best_issue_reason": null, + "best_pr_reason": "PR 8240 is the best single PR to anchor this cluster because it introduces the core HunyuanDiT model and pipeline integration, making it the central reference point for later Hunyuan-related work.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6665", + "right": "pull_request:8396", + "accept": false, + "reason": "Different models and code paths: I2VGen-XL image-to-video support vs HunyuanDiT QKV fusion." + }, + { + "left": "pull_request:8240", + "right": "pull_request:8747", + "accept": false, + "reason": "Both are HunyuanDiT work, but 8747 adds v1.2 support via embedding/model changes; it is a follow-on feature, not the same underlying change as the initial implementation." + }, + { + "left": "pull_request:8240", + "right": "pull_request:8265", + "accept": false, + "reason": "8265 is a refactor of HunyuanDiT attention internals, not the same concrete change as the initial HunyuanDiT feature addition." + }, + { + "left": "pull_request:8265", + "right": "pull_request:8694", + "accept": false, + "reason": "Refactoring Hunyuan attention internals and adding ControlNet inference are distinct changes, even though they touch related files." + }, + { + "left": "pull_request:8265", + "right": "pull_request:8747", + "accept": false, + "reason": "Attention refactor and v1.2 support are different code-path changes; not mergeable as a duplicate PR." + }, + { + "left": "pull_request:8396", + "right": "pull_request:8399", + "accept": false, + "reason": "QKV fusion enablement and memory-optimization support address different behaviors and are separate modifications." + }, + { + "left": "pull_request:8396", + "right": "pull_request:8747", + "accept": false, + "reason": "One changes attention projection fusion, the other updates HunyuanDiT v1.2 support; these are not the same fix or feature." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 215, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6683-2", + "nodes": [ + "pull_request:6683", + "pull_request:8643" + ], + "soft_pairs": [ + "pull_request:6683|pull_request:8643" + ], + "prepared_review_unit_hash": "d649888309cc620f0a52db170ab2636cc93fa552a8951dc9273b39d5b3d83c10", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4331, + "estimated_input_tokens": 1083, + "estimated_eval_tokens": 2422 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4331, + "estimated_input_tokens": 1083, + "estimated_eval_tokens": 2422 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are merged community PRs for Intel IPEX CPU acceleration, but they target different concrete pipelines: SDXL vs AnimateDiff. The overlap is only broad subsystem/README similarity, not the same bug or change.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a duplicate of the other. If a representative is needed, 8643 is slightly more self-contained, but it does not subsume 6683.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6683", + "right": "pull_request:8643", + "accept": false, + "reason": "Different code paths and deliverables: 6683 adds SDXL IPEX support, while 8643 adds AnimateDiff IPEX support. Shared README edits and the same general CPU/IPEX theme are not enough to treat them as the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 216, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6690-2", + "nodes": [ + "pull_request:6690", + "pull_request:6692" + ], + "soft_pairs": [ + "pull_request:6690|pull_request:6692" + ], + "prepared_review_unit_hash": "97dfb8c2a842acaed78f3dd6c5c610a35efc0efb39b4c0861089b7573712732c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3673, + "estimated_input_tokens": 919, + "estimated_eval_tokens": 2094 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3673, + "estimated_input_tokens": 919, + "estimated_eval_tokens": 2094 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch UNet1D timestep embedding sizing, but #6692 is a broader fix with additional timestep-embedding shape changes beyond #6690\u2019s single-line embedding_size adjustment.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "#6692 is the more complete and explicit implementation of the UNet1D timestep embedding fix, covering the embedding size change plus related output-dimension handling.", + "best_issue_reason": null, + "best_pr_reason": "#6692 best represents the cluster because it addresses the same core UNet1D timestep embedding bug with a fuller correction set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6690", + "right": "pull_request:6692", + "accept": false, + "reason": "They overlap on the embedding_size fix, but #6692 adds additional timestep-embedding shape logic (out_dim/time_embed_dim changes), so this is not the same exact PR change and should not be merged as a duplicate." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 217, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6738-2", + "nodes": [ + "pull_request:6738", + "pull_request:8768" + ], + "soft_pairs": [ + "pull_request:6738|pull_request:8768" + ], + "prepared_review_unit_hash": "09a630ce3565a5ca4efedd978db35cd27a7a41a29f420f7f8a9bd81abd7c3b74", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6135, + "estimated_input_tokens": 1534, + "estimated_eval_tokens": 3324 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6135, + "estimated_input_tokens": 1534, + "estimated_eval_tokens": 3324 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are unrelated pull requests: one refactors test module layout, the other introduces a new `controlnet` module and updates docs/imports. They do not fix the same underlying bug or implement the same change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical PR for duplication: PR 6738 is a test-only refactor, while PR 8768 is a substantive core module reorganization. They address different problems.", + "best_issue_reason": null, + "best_pr_reason": "PR 8768 is the more substantial and central change in the cluster, but it is not a duplicate of PR 6738.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6738", + "right": "pull_request:8768", + "accept": false, + "reason": "Different scopes and code paths: 6738 only reorganizes tests, while 8768 adds/moves ControlNet implementation and docs. Shared files are incidental, not evidence of the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 218, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6844-2", + "nodes": [ + "pull_request:6844", + "pull_request:7005" + ], + "soft_pairs": [ + "pull_request:6844|pull_request:7005" + ], + "prepared_review_unit_hash": "40412e77f5ff1e4bc25e767efd63ec045fcdcb101a4fb44a4151ed93cd4b0298", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5159, + "estimated_input_tokens": 1290, + "estimated_eval_tokens": 2836 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5159, + "estimated_input_tokens": 1290, + "estimated_eval_tokens": 2836 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests are about MotionCtrl for Stable Video Diffusion, but PR #7005 looks like a community/example packaging of the feature rather than the same core change as PR #6844. They overlap in topic and some core files, yet the scope and framing differ enough that I would not treat them as duplicates.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6844 is the earlier, more central core implementation of MotionCtrl SVD and includes the main conversion script and pipeline/model changes.", + "best_issue_reason": null, + "best_pr_reason": "PR #6844 is the strongest representative of the actual feature implementation; PR #7005 appears to be a follow-up/community example around the same feature rather than the primary change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6844", + "right": "pull_request:7005", + "accept": false, + "reason": "Shared issue target and similar MotionCtrl SVD scope are not enough here: #7005 is framed as a community/example repo addition and references #6844, so it is more likely a related follow-up than the same mergeable code change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 219, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6846-2", + "nodes": [ + "pull_request:6846", + "pull_request:7149" + ], + "soft_pairs": [ + "pull_request:6846|pull_request:7149" + ], + "prepared_review_unit_hash": "fea7b99eaaf7cdfdb8ad6cfae57e47b303798795749e2d8d1a01a19eec3e61e1", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4206, + "estimated_input_tokens": 1052, + "estimated_eval_tokens": 2360 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4206, + "estimated_input_tokens": 1052, + "estimated_eval_tokens": 2360 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two pull requests are unrelated: one tweaks an SDXL training example\u2019s distributed setup, while the other adds `callback_on_step_end` support plus guidance-rescale logic in the LDM3D pipeline. They should not be clustered as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7149 is the stronger canonical PR: it is merged, has an explicit issue target, and implements a concrete pipeline feature/fix in a single code path.", + "best_issue_reason": null, + "best_pr_reason": "PR #7149 is the best representative of the cluster because it is the only merged, clearly scoped change and the one with direct issue linkage.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6846", + "right": "pull_request:7149", + "accept": false, + "reason": "Different changes and code paths: #6846 edits a text-to-image training example\u2019s process-group setup, while #7149 modifies `StableDiffusionLDM3DPipeline` to add callback support and rescale noise guidance. They are not the same underlying bug or mergeable into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 220, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-686-2", + "nodes": [ + "pull_request:686", + "pull_request:721" + ], + "soft_pairs": [ + "pull_request:686|pull_request:721" + ], + "prepared_review_unit_hash": "207f82451439868eff24d44a7bad231f0378002b84681763a4927c3593c2cadb", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3270, + "estimated_input_tokens": 818, + "estimated_eval_tokens": 1892 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3270, + "estimated_input_tokens": 818, + "estimated_eval_tokens": 1892 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs make the same style of fix (guarding `clip_grad_norm_` with `accelerator.sync_gradients`), but they apply to different example training scripts and different issue targets, so they are related pattern matches rather than duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "No single PR is a clear canonical representative because these are separate example-script fixes; if forced, PR #686 is slightly more central due to higher inbound references and earlier discussion, but it should not be treated as a duplicate of #721.", + "soft_edge_verdicts": [ + { + "left": "pull_request:686", + "right": "pull_request:721", + "accept": false, + "reason": "Same broad bug pattern, but different code paths in different example scripts (`train_dreambooth.py` vs `train_unconditional.py`) and different linked issues; they would not plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 221, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6873-3", + "nodes": [ + "pull_request:6873", + "pull_request:6980", + "pull_request:6983" + ], + "soft_pairs": [ + "pull_request:6873|pull_request:6980", + "pull_request:6873|pull_request:6983", + "pull_request:6980|pull_request:6983" + ], + "prepared_review_unit_hash": "385d264c4b1e3b2a8b0e95c66728b9107c7dc6fff3079028dacc9f4719b88252", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7325, + "estimated_input_tokens": 1832, + "estimated_eval_tokens": 3920 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7325, + "estimated_input_tokens": 1832, + "estimated_eval_tokens": 3920 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two PRs (#6980 and #6983) are the same underlying 2D/ControlNet attention-argument naming fix; the 3D UNet PR (#6873) is a separate code path and should stay separate.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6983 is the most complete version of the 2D naming fix: it covers ControlNet, UNet2DConditionModel, and the deprecated Versatile Diffusion text UNet, making it the best representative of the shared change.", + "best_issue_reason": null, + "best_pr_reason": "PR #6983 is the best cluster representative because it is the broader, later draft of the same fix and appears to subsume #6980\u2019s narrower 2D attention-naming changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6873", + "right": "pull_request:6980", + "accept": false, + "reason": "Different model family and code path: #6873 targets UNet3DConditionModel, while #6980 fixes 2D condition/controlnet naming. Similar theme, but not the same concrete change." + }, + { + "left": "pull_request:6873", + "right": "pull_request:6983", + "accept": false, + "reason": "#6873 is a 3D UNet attention-name correction; #6983 is a 2D/ControlNet/VD text UNet naming correction. They overlap conceptually but are not mergeable as one PR." + }, + { + "left": "pull_request:6980", + "right": "pull_request:6983", + "accept": true, + "reason": "Both PRs address the same concrete 2D attention-argument naming bug and touch the same core files; #6983 is a broader follow-up of #6980 rather than a distinct fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 222, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6902-2", + "nodes": [ + "pull_request:6902", + "pull_request:7981" + ], + "soft_pairs": [ + "pull_request:6902|pull_request:7981" + ], + "prepared_review_unit_hash": "ef85dd2c04368efb2fbffa54f43191ad7c776c5051f2761bf3650d4a34d5f656", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3176, + "estimated_input_tokens": 794, + "estimated_eval_tokens": 1844 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3176, + "estimated_input_tokens": 794, + "estimated_eval_tokens": 1844 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are unrelated maintenance changes: one updates license/copyright year text in docs, the other changes the package author email in setup.py.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "No strong global best PR for deduping since the changes are different; if one must be picked as a representative, 6902 is the broader docs/license metadata update.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6902", + "right": "pull_request:7981", + "accept": false, + "reason": "Different underlying changes and code paths: 6902 edits license/year text across documentation files, while 7981 only updates author_email in setup.py. They are not the same fix/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 223, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6933-3", + "nodes": [ + "pull_request:6933", + "pull_request:8183", + "pull_request:9288" + ], + "soft_pairs": [ + "pull_request:6933|pull_request:8183", + "pull_request:8183|pull_request:9288" + ], + "prepared_review_unit_hash": "987a43768fbc61d97b880a2a56eecb706d7035cb656ace2f30e9730b7fb539d9", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6611, + "estimated_input_tokens": 1653, + "estimated_eval_tokens": 3562 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6611, + "estimated_input_tokens": 1653, + "estimated_eval_tokens": 3562 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These pull requests are not duplicates: one fixes SD conversion reshaping, one fixes a logger typo, and one adapts FreeNoise for AnimateDiff V3. They touch unrelated bugs and should remain separate.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR for the cluster; the three PRs address distinct code paths and different defects.", + "best_issue_reason": null, + "best_pr_reason": "PR #8183 is the best representative only in the sense that it is the most narrowly scoped and has an explicit issue target, but it is not a duplicate of the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6933", + "right": "pull_request:8183", + "accept": false, + "reason": "Different fixes in the same utility file are not enough: #6933 changes SD conversion weight reshaping/text encoder handling, while #8183 only corrects logger.warning calls during EMA checkpoint conversion." + }, + { + "left": "pull_request:8183", + "right": "pull_request:9288", + "accept": false, + "reason": "These address different failures: #8183 fixes a logging AttributeError in checkpoint conversion, while #9288 changes FreeNoise block selection for AnimateDiff V3 compatibility." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 224, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7025-2", + "nodes": [ + "pull_request:7025", + "pull_request:7067" + ], + "soft_pairs": [ + "pull_request:7025|pull_request:7067" + ], + "prepared_review_unit_hash": "107bd2cb3c906786e9ba58023940ab3063c39ce7dd14871a804ae52f6899ce62", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4388, + "estimated_input_tokens": 1097, + "estimated_eval_tokens": 2450 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4388, + "estimated_input_tokens": 1097, + "estimated_eval_tokens": 2450 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related only at a broad file/subsystem level; they fix different controlnet training-script behaviors. PR #7025 changes validation image logging in the train scripts, while PR #7067 changes dataset argument handling and dataset loading. They should not be deduplicated.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7067 is the better canonical PR because it is the merged change and addresses a concrete functional behavior in dataset argument handling/load path.", + "best_issue_reason": null, + "best_pr_reason": "PR #7067 is the strongest representative of the cluster: merged, more complete, and focused on a specific code-path fix rather than logging cleanup.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7025", + "right": "pull_request:7067", + "accept": false, + "reason": "They touch the same scripts but fix different problems: #7025 adjusts tensorboard validation image logging, while #7067 changes dataset_name/train_data_dir validation and passes train_data_dir into the dataset loader. Not the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 225, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7071-4", + "nodes": [ + "pull_request:7071", + "pull_request:7211", + "pull_request:8376", + "pull_request:8387" + ], + "soft_pairs": [ + "pull_request:7071|pull_request:8376", + "pull_request:7071|pull_request:8387", + "pull_request:7071|pull_request:7211", + "pull_request:8376|pull_request:8387", + "pull_request:7211|pull_request:8387", + "pull_request:7211|pull_request:8376" + ], + "prepared_review_unit_hash": "fe63bf9d1112b4d0dffea637cacf1e4d1ea4db943e3ba807854485c61f8a61b9", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 10323, + "estimated_input_tokens": 2581, + "estimated_eval_tokens": 5418 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 10323, + "estimated_input_tokens": 2581, + "estimated_eval_tokens": 5418 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "There are two near-duplicate PRs for the same regional_prompting_stable_diffusion.py refactor, plus two separate refactors for different example pipelines that share only a broad migration theme. Only the exact same-file pair should be clustered together.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8376 is the best canonical representative: it is a non-draft open PR, and PR 8387 is an almost identical draft duplicate on the same file with the same change set.", + "best_issue_reason": null, + "best_pr_reason": "PR 8376 is the strongest cluster representative because it matches the near-exact duplicate 8387 and has the clearest standalone change on the same code path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7071", + "right": "pull_request:8376", + "accept": false, + "reason": "Same tracking issue and similar refactor style, but they touch different example pipelines/files and are not the same concrete change." + }, + { + "left": "pull_request:7071", + "right": "pull_request:8387", + "accept": false, + "reason": "Different file and different pipeline; the overlap is only the broad DiffusionPipeline migration theme." + }, + { + "left": "pull_request:7071", + "right": "pull_request:7211", + "accept": false, + "reason": "Both refactor community examples, but they are separate pipelines with separate code paths and should not be merged as duplicates." + }, + { + "left": "pull_request:8376", + "right": "pull_request:8387", + "accept": true, + "reason": "Near-exact duplicate PRs on the same file with essentially identical diff content and the same refactor goal." + }, + { + "left": "pull_request:7211", + "right": "pull_request:8387", + "accept": false, + "reason": "Shared issue target is not enough; these are different example pipelines and different code paths." + }, + { + "left": "pull_request:7211", + "right": "pull_request:8376", + "accept": false, + "reason": "Different pipeline/file and only broadly similar refactor work, not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 226, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7092-3", + "nodes": [ + "pull_request:7092", + "pull_request:8687", + "pull_request:8867" + ], + "soft_pairs": [ + "pull_request:7092|pull_request:8687", + "pull_request:8687|pull_request:8867" + ], + "prepared_review_unit_hash": "77f5a43fb8aca9f45458479a803dae787bd085d7dcba5f3c77b45e717dbe8de3", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6324, + "estimated_input_tokens": 1581, + "estimated_eval_tokens": 3418 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6324, + "estimated_input_tokens": 1581, + "estimated_eval_tokens": 3418 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three separate merged PRs that all touch the same GitHub template files, but they make different template-maintenance changes rather than fixing the same underlying issue.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8687 is the best cluster representative because it makes the broadest, most explicit template update and overlaps the same files as the others while still being a distinct change.", + "best_issue_reason": null, + "best_pr_reason": "#8687 is the clearest central example of this template-edit cluster: it updates both issue and PR templates and adds several routing/tagging refinements.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7092", + "right": "pull_request:8687", + "accept": false, + "reason": "Both edit the template files, but the content changes are different: #7092 removes/adjusts maintainer mentions, while #8687 adds new routing tags and pipeline entries. Not the same underlying change." + }, + { + "left": "pull_request:8687", + "right": "pull_request:8867", + "accept": false, + "reason": "These are separate template updates with different intent and different line changes (#8687 adds multiple tags/sections; #8867 swaps one maintainer tag and adds a PEFT entry). They are not mergeable as one duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 227, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7125-2", + "nodes": [ + "pull_request:7125", + "pull_request:8266" + ], + "soft_pairs": [ + "pull_request:7125|pull_request:8266" + ], + "prepared_review_unit_hash": "eea037eeb946d2d67aeaaada108eb0c1d7b4216cd792943df7bcd847654f840d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3841, + "estimated_input_tokens": 961, + "estimated_eval_tokens": 2178 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3841, + "estimated_input_tokens": 961, + "estimated_eval_tokens": 2178 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged PRs both touch the documentation workflow files, but they address different changes: one limits when the docs workflows run, the other switches the docs builder to a custom container. They are related by file path, not by the same underlying fix.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7125 is the cleaner representative of the workflow-related cluster because it makes a focused, standalone change to workflow triggering behavior; #8266 is a separate container/runtime adjustment.", + "best_issue_reason": null, + "best_pr_reason": "PR #7125 best fits the cluster only in the broad sense of documentation workflow maintenance, but it is still distinct from #8266 and more directly describes the shared workflow area.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7125", + "right": "pull_request:8266", + "accept": false, + "reason": "Different underlying changes: #7125 limits docs workflow runs via path filters, while #8266 configures a custom container for the docs job. Same files, but not the same bug/fix or something that would plausibly be one merged PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 228, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7144-2", + "nodes": [ + "pull_request:7144", + "pull_request:9010" + ], + "soft_pairs": [ + "pull_request:7144|pull_request:9010" + ], + "prepared_review_unit_hash": "723b145efe8df5019642ad30bb558a8a9904cbae6e911712aa213a00d418c942", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4415, + "estimated_input_tokens": 1104, + "estimated_eval_tokens": 2464 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4415, + "estimated_input_tokens": 1104, + "estimated_eval_tokens": 2464 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are unrelated pull requests: one adds NPU support infrastructure, the other fixes SDXL textual inversion and adds second text encoder support. They should not be clustered as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9010 is the more self-contained, concrete product fix; PR 7144 is broader platform support and not representative of the same change set.", + "best_issue_reason": null, + "best_pr_reason": "PR 9010 is the best representative artifact because it targets a specific user-facing SDXL training/inference behavior, whereas PR 7144 is a general backend enablement change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7144", + "right": "pull_request:9010", + "accept": false, + "reason": "Different underlying changes: NPU support plumbing versus SDXL textual inversion/2nd text encoder behavior. They do not fix the same code-path problem and would not plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 229, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7162-2", + "nodes": [ + "pull_request:7162", + "pull_request:7878" + ], + "soft_pairs": [ + "pull_request:7162|pull_request:7878" + ], + "prepared_review_unit_hash": "ecdecedba955ea86e4b7607a83d91794aef966173bcaeb24ca26695259e1c6ea", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3117, + "estimated_input_tokens": 780, + "estimated_eval_tokens": 1816 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3117, + "estimated_input_tokens": 780, + "estimated_eval_tokens": 1816 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs touch the same workflow file but make opposite CI concurrency changes at different times: one removes the slow-runner max-parallel limit, the other adds max-parallel: 8. They are related revisions, not duplicate fixes that should be merged into one PR.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical PR for duplicate triage: PR #7162 removes the limit entirely, while PR #7878 reintroduces a specific limit, so they address different states of the workflow rather than the same change.", + "best_issue_reason": null, + "best_pr_reason": "PR #7878 is the more concrete and final configuration change, but it is not a duplicate of #7162; it represents a later, distinct adjustment to runner parallelism.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7162", + "right": "pull_request:7878", + "accept": false, + "reason": "Same file, but not the same underlying change: one removes max-parallel and the other sets it to 8. These are opposite workflow tuning decisions, not mergeable duplicate fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 230, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7352-2", + "nodes": [ + "pull_request:7352", + "pull_request:7875" + ], + "soft_pairs": [ + "pull_request:7352|pull_request:7875" + ], + "prepared_review_unit_hash": "35a0d0444ee8654c2f70e1bfa68e5f519a0b80a65fbc0f86327019bf0d1b0ae0", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4573, + "estimated_input_tokens": 1144, + "estimated_eval_tokens": 2544 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4573, + "estimated_input_tokens": 1144, + "estimated_eval_tokens": 2544 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs both touch LoRA scaling utilities, but they address different changes: PR 7352 adds blockwise LoRA/adapters strength controls, while PR 7875 fixes a specific \"no LoRA weight found\" fallback for some module names. They are related by subsystem, not the same mergeable change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 7352 is the broader, more central change in this cluster: it implements blockwise LoRA support across loaders, docs, and tests, with an explicit tracking issue and substantial code changes.", + "best_issue_reason": null, + "best_pr_reason": "PR 7352 is the best representative PR for this cluster because it defines the main feature area (blockwise LoRA/adapters scaling) rather than a narrow helper fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7352", + "right": "pull_request:7875", + "accept": false, + "reason": "Do not merge: 7352 introduces blockwise adapter-strength support, while 7875 only changes fallback behavior in peft_utils for missing per-module weights. They share a subsystem but not the same underlying bug or feature." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 231, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7553-3", + "nodes": [ + "pull_request:7553", + "pull_request:8949", + "pull_request:8980" + ], + "soft_pairs": [ + "pull_request:7553|pull_request:8980", + "pull_request:8949|pull_request:8980" + ], + "prepared_review_unit_hash": "49980c84c6c4a07142ed9ac9a6450d277237fd2b677128728bd297f4007fb828", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6451, + "estimated_input_tokens": 1613, + "estimated_eval_tokens": 3482 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6451, + "estimated_input_tokens": 1613, + "estimated_eval_tokens": 3482 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two AuraFlow PRs are closely related and likely duplicate the same cleanup of a stray `i` argument; the linear/conv cleanup PR is unrelated. No issues are present in the cluster.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8980 is the cleanest representative of the AuraFlow `i`-removal change: it directly fixes the `auraflow_transformer_2d.py` call path and matches the shared intent of the other AuraFlow PR.", + "best_issue_reason": null, + "best_pr_reason": "PR 8980 best represents the cluster because it is the most focused AuraFlow fix and captures the core code-path change without extra test-only or rename noise.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7553", + "right": "pull_request:8980", + "accept": false, + "reason": "Different change set: 7553 is a broad chore removing class assignments for linear/conv across many model files, while 8980 removes an `i` parameter from AuraFlow. Same subsystem but not the same underlying bug/change." + }, + { + "left": "pull_request:8949", + "right": "pull_request:8980", + "accept": true, + "reason": "Both PRs target the same AuraFlow cleanup: removing the residual `i` argument from the attention/transformer code path. They look like the same underlying change and could plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 232, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7739-2", + "nodes": [ + "pull_request:7739", + "pull_request:7761" + ], + "soft_pairs": [ + "pull_request:7739|pull_request:7761" + ], + "prepared_review_unit_hash": "2a5dd8ad5786506b22e641af0714cd3cdd0192a0000ec537bde855af3725e05d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5753, + "estimated_input_tokens": 1439, + "estimated_eval_tokens": 3134 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5753, + "estimated_input_tokens": 1439, + "estimated_eval_tokens": 3134 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two pull requests around the callbacks feature: an early proposal and the later merged implementation. They are related, but not the same concrete change and should not be merged as duplicates.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 7761 is the canonical PR because it is the merged, full implementation of official callbacks across multiple pipelines and docs, whereas 7739 is an earlier proposal/prototype.", + "best_issue_reason": null, + "best_pr_reason": "PR 7761 is the best PR candidate overall since it contains the completed, accepted feature with broad pipeline support and documentation; 7739 is incomplete and unmerged.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7739", + "right": "pull_request:7761", + "accept": false, + "reason": "Related feature area, but not the same underlying change. 7739 is a proposal for callback support; 7761 implements and documents official callbacks across many pipelines. They share one target and a file, but are not mergeable as one PR without collapsing distinct work." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 233, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7838-2", + "nodes": [ + "pull_request:7838", + "pull_request:9033" + ], + "soft_pairs": [ + "pull_request:7838|pull_request:9033" + ], + "prepared_review_unit_hash": "864cd52498b77ab2b11423152017541c798150ff2bbc28a0a58ef8bea715b6cd", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2773, + "estimated_input_tokens": 694, + "estimated_eval_tokens": 1644 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2773, + "estimated_input_tokens": 694, + "estimated_eval_tokens": 1644 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs adjust CI workflow dependency installation for pipeline test fetchers, but they target different workflows and different install strategies, so they are related rather than duplicates.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9033 is the cleaner representative: it makes a direct dependency tweak in the nightly workflow without changing the broader setup mechanics, so it best captures the cluster\u2019s common theme.", + "best_issue_reason": null, + "best_pr_reason": "PR #9033 is the best single PR in this cluster because it is the more straightforward workflow dependency update and is easier to treat as the representative change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7838", + "right": "pull_request:9033", + "accept": false, + "reason": "Different CI paths and different fixes: #7838 changes push_tests to use a venv/uv install and adds quality,test extras, while #9033 only adjusts nightly_tests to install the test extra. They do not look like the same underlying bug or mergeable duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 234, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7839-2", + "nodes": [ + "pull_request:7839", + "pull_request:7840" + ], + "soft_pairs": [ + "pull_request:7839|pull_request:7840" + ], + "prepared_review_unit_hash": "19e10d5b33113d80a43e2849ed7bfeca7875f8500407d4c6fa22a3681f245eeb", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4125, + "estimated_input_tokens": 1032, + "estimated_eval_tokens": 2320 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4125, + "estimated_input_tokens": 1032, + "estimated_eval_tokens": 2320 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two PRs in the cluster are both runner-migration changes, but they target different job classes and workflows: one moves CPU PR test jobs to new self-hosted Intel runners, the other moves multiple GPU nightly/push jobs to new T4 GPU runners. They are related by infrastructure theme, not the same underlying change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7840 is the better canonical PR because it is the broader, clearer runner migration for GPU workflows and touches multiple relevant workflows with a consistent change pattern.", + "best_issue_reason": null, + "best_pr_reason": "PR #7840 is the best representative of the cluster because its title and diff most clearly capture the common runner-migration theme, while #7839 is a narrower CPU-only workflow update.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7839", + "right": "pull_request:7840", + "accept": false, + "reason": "Both change CI runners, but one is CPU PR tests and the other is GPU nightly/push tests; different workflows, different runner classes, and not plausibly one merged PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 235, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7915-2", + "nodes": [ + "pull_request:7915", + "pull_request:7917" + ], + "soft_pairs": [ + "pull_request:7915|pull_request:7917" + ], + "prepared_review_unit_hash": "8f778775ef2426de0f8f11f90f65cb862e6cab1c875a551b29ef75f2a7830842", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2867, + "estimated_input_tokens": 717, + "estimated_eval_tokens": 1690 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2867, + "estimated_input_tokens": 717, + "estimated_eval_tokens": 1690 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs both touch SDXL training, but they address different change sets: one is a broad Ascend NPU support effort, while the other is a targeted merged fix for Deepspeed-related bugs in the SDXL example. I would not cluster them as the same underlying change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7917 is the better canonical PR because it is merged, narrowly scoped, and has concrete code changes in the SDXL training script fixing specific bugs.", + "best_issue_reason": null, + "best_pr_reason": "PR #7917 is the strongest representative overall: it is merged, has a clear fix-focused title, and the diff shows an actual bug fix rather than a broad platform-support effort.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7915", + "right": "pull_request:7917", + "accept": false, + "reason": "Low similarity in the underlying change: #7915 is about adding Ascend NPU support for SDXL plus assorted fixes, while #7917 specifically fixes Deepspeed bugs in the SDXL example. They share a subsystem and title terms, but not the same concrete bug or mergeable patch." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 236, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7996-2", + "nodes": [ + "pull_request:7996", + "pull_request:9444" + ], + "soft_pairs": [ + "pull_request:7996|pull_request:9444" + ], + "prepared_review_unit_hash": "37190c7a028d0a8d55998910190dc1a8d0e6067cbabcd1c591f78402c4c80d5b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4391, + "estimated_input_tokens": 1098, + "estimated_eval_tokens": 2452 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4391, + "estimated_input_tokens": 1098, + "estimated_eval_tokens": 2452 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs both touch single-file support docs/tests, but they address different concrete cleanups in different model areas and are not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: 7996 deletes an obsolete StableCascadeUNet test file, while 9444 removes CogVideoX single-file doc entries and adjusts related tests.", + "best_issue_reason": null, + "best_pr_reason": "9444 is the more user-facing, broader maintenance change, but it still does not represent the same underlying change as 7996.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7996", + "right": "pull_request:9444", + "accept": false, + "reason": "Only broad overlap in single-file docs/tests maintenance; the concrete targets differ (StableCascadeUNet test deletion vs. CogVideoX doc/test cleanup), so they are not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 237, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8383-2", + "nodes": [ + "pull_request:8383", + "pull_request:8783" + ], + "soft_pairs": [ + "pull_request:8383|pull_request:8783" + ], + "prepared_review_unit_hash": "b72da46cc29a5534d691a9b952ae2a953ef11fc60b6e559498c2bf58908e6d22", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4451, + "estimated_input_tokens": 1113, + "estimated_eval_tokens": 2482 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4451, + "estimated_input_tokens": 1113, + "estimated_eval_tokens": 2482 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items concern Tencent HunyuanDiT, but they are different changes: one is documentation exposure for the model/pipeline, the other adds checkpoint conversion scripts and modifies the ControlNet implementation. They are related project work, not duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8783 is the better canonical PR because it contains the substantive code change (new conversion scripts and ControlNet updates), while PR #8383 is only docs/navigation updates.", + "best_issue_reason": null, + "best_pr_reason": "PR #8783 best represents the cluster\u2019s underlying engineering work; PR #8383 is ancillary documentation for the same model family, not the same fix/change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8383", + "right": "pull_request:8783", + "accept": false, + "reason": "Docs-only HunyuanDiT documentation update vs. implementation/conversion-script and ControlNet changes. They touch the same model family but not the same concrete code-path problem, so they should not be merged as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 238, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8517-2", + "nodes": [ + "pull_request:8517", + "pull_request:8602" + ], + "soft_pairs": [ + "pull_request:8517|pull_request:8602" + ], + "prepared_review_unit_hash": "0dad51ffb708b3ef6aed0d592d42f7962c9b4382675380e007dbe483194f33b7", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3871, + "estimated_input_tokens": 968, + "estimated_eval_tokens": 2192 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3871, + "estimated_input_tokens": 968, + "estimated_eval_tokens": 2192 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged PRs around Stable Diffusion 3 single-file docs/support: one adds actual single-file support entries and code paths for SD3, the other only fixes a documentation heading about T5 loading. They are related but not the same underlying change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8517 is the substantive feature/support change: it expands Single File support for SD3 across loaders and docs, whereas #8602 is a narrow wording correction.", + "best_issue_reason": null, + "best_pr_reason": "PR #8517 is the best representative of the cluster because it changes the actual SD3 single-file support behavior and documentation, making it the broader canonical change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8517", + "right": "pull_request:8602", + "accept": false, + "reason": "These touch the same SD3 docs file, but #8517 adds single-file support entries and loader code paths while #8602 only renames a section title from 'without T5' to 'with T5'. They are not the same concrete bug/change and would not plausibly merge into one PR as a single fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 239, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8558-4", + "nodes": [ + "pull_request:8558", + "pull_request:8610", + "pull_request:9406", + "pull_request:9550" + ], + "soft_pairs": [ + "pull_request:8558|pull_request:8610", + "pull_request:9406|pull_request:9550", + "pull_request:8558|pull_request:9406" + ], + "prepared_review_unit_hash": "f02a0937c4c55f53c989bf5029d9cce61537293918e47ae09d99380d354478ac", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 8886, + "estimated_input_tokens": 2222, + "estimated_eval_tokens": 4700 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 8886, + "estimated_input_tokens": 2222, + "estimated_eval_tokens": 4700 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is mostly mixed, with one FLUX ControlNet batch-size fix and two unrelated PRs. The FLUX PR about `control_mode` batch handling is the best representative; the image-dimension PR is related to the same file but addresses a different bug, and the SD3/attention PRs are unrelated.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9406 is the most central artifact: it directly fixes a concrete FLUX ControlNet batch-size/control_mode bug and has the strongest topical fit among the PRs.", + "best_issue_reason": null, + "best_pr_reason": "PR 9406 is the best overall representative because it targets the clearest underlying bug in the cluster. PR 9550 is adjacent but fixes image validation, not the same code-path problem; PRs 8558 and 8610 are unrelated.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8558", + "right": "pull_request:8610", + "accept": false, + "reason": "Different models and different bugs: SD3 prompt-embed shape fix vs. attention processor initialization. No shared code-path or same underlying change." + }, + { + "left": "pull_request:9406", + "right": "pull_request:9550", + "accept": false, + "reason": "Both touch FLUX ControlNet, but they fix different issues: batch-size handling for `control_mode` versus image dimension checking. Shared file alone is not enough to treat them as duplicates." + }, + { + "left": "pull_request:8558", + "right": "pull_request:9406", + "accept": false, + "reason": "Unrelated pipelines and problems: SD3 `text_encoder_3=None` shape mismatch vs. FLUX ControlNet batch-size mode handling." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 240, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8568-2", + "nodes": [ + "pull_request:8568", + "pull_request:9498" + ], + "soft_pairs": [ + "pull_request:8568|pull_request:9498" + ], + "prepared_review_unit_hash": "ccd0cc7441f1bf0179fc7f6197342b0686ccb9570d2cb4b80feccbd545787117", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3307, + "estimated_input_tokens": 827, + "estimated_eval_tokens": 1910 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3307, + "estimated_input_tokens": 827, + "estimated_eval_tokens": 1910 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs address the same bug pattern in SD3 gradient-checkpointed blocks: checkpoint returns two tensors, but only one was previously assigned. However, they fix different code paths/files (transformer_sd3 vs controlnet_sd3), so they are related but not duplicates.", + "confidence": 0.81, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9498 is the stronger representative: it is merged, has the clearer bug description, and directly fixes the SD3 ControlNet training checkpointing path.", + "best_issue_reason": null, + "best_pr_reason": "PR #9498 is the best single PR to anchor the cluster because it is the merged, concrete fix for the checkpointing return-value bug in SD3 training.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8568", + "right": "pull_request:9498", + "accept": false, + "reason": "Same bug pattern, but different concrete components and files. The transformer block and ControlNet block are separate code paths, so this is not the same PR-worthy change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 241, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8690-3", + "nodes": [ + "pull_request:8690", + "pull_request:8914", + "pull_request:8938" + ], + "soft_pairs": [ + "pull_request:8690|pull_request:8914", + "pull_request:8690|pull_request:8938", + "pull_request:8914|pull_request:8938" + ], + "prepared_review_unit_hash": "ff4186dc1ca7bfc1360afa38d09f69d6cda9f5b4320e8c80b28405959df9b415", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 12206, + "estimated_input_tokens": 3052, + "estimated_eval_tokens": 6360 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 12206, + "estimated_input_tokens": 3052, + "estimated_eval_tokens": 6360 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three similar Korean documentation translation/update PRs, but they touch different files and different article content. They are related in style and context, not duplicates of the same underlying change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:8938 is the best representative PR only in the sense that it is the most substantial and reviewed of the three, but it is not a duplicate of the others; it updates a different document (`contribution.md`) with broader text changes.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:8938 has the largest scope and highest review activity, so it is the strongest standalone example of this translation/update pattern. Still, it should not be merged with the others as a duplicate because it edits a different file and content area.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8690", + "right": "pull_request:8914", + "accept": false, + "reason": "Both are Korean doc updates, but they modify different pages (`philosophy.md` vs `ethical_guidelines.md`) with distinct text changes. Same general theme, not the same bug/change." + }, + { + "left": "pull_request:8690", + "right": "pull_request:8938", + "accept": false, + "reason": "Different documentation files and different sections of content. They are similar translation/heading-link cleanups, but not one underlying change." + }, + { + "left": "pull_request:8914", + "right": "pull_request:8938", + "accept": false, + "reason": "Both are documentation localization updates, yet they target different conceptual docs and do not share a concrete code path or mergeable single fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 242, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8701-2", + "nodes": [ + "pull_request:8701", + "pull_request:8735" + ], + "soft_pairs": [ + "pull_request:8701|pull_request:8735" + ], + "prepared_review_unit_hash": "d8e9e7ae86d9947f58fda5e1451f8947699ccb70334124fbfdb2866ecf6f1a3f", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4347, + "estimated_input_tokens": 1087, + "estimated_eval_tokens": 2430 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4347, + "estimated_input_tokens": 1087, + "estimated_eval_tokens": 2430 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged documentation PRs were clustered together by weak textual similarity, but they target different features: PAG from_pipe usage vs. SDXL refiner guidance for HunyuanDiT/PixArt. They are not duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "PR 8735 is the broader, more self-contained documentation change in this cluster, but it is not a duplicate of PR 8701.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8701", + "right": "pull_request:8735", + "accept": false, + "reason": "Reject: the PRs address different documentation topics and code paths. 8701 adds PAG from_pipe guidance in `pag.md`; 8735 adds an SDXL refiner tip for HunyuanDiT/PixArt and also touches SD3 img2img/docs. They could not plausibly be merged as one change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 243, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8762-2", + "nodes": [ + "pull_request:8762", + "pull_request:9943" + ], + "soft_pairs": [ + "pull_request:8762|pull_request:9943" + ], + "prepared_review_unit_hash": "b965b6efafd06d78586e0730e9eb6250a39242e72413f4f503bb0629c8e6b1b5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4676, + "estimated_input_tokens": 1169, + "estimated_eval_tokens": 2594 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4676, + "estimated_input_tokens": 1169, + "estimated_eval_tokens": 2594 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are unrelated: one adds SD3 DreamBooth LoRA support for a free-tier Colab workflow, and the other enables LoRA for Mochi-1. They do not appear to fix the same bug or implement the same change.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the PRs target different models/features and do not share the same code path or mergeable change.", + "best_issue_reason": null, + "best_pr_reason": "No single best PR for this cluster; 8762 is an example-project workflow, while 9943 is a library LoRA implementation for a different model.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8762", + "right": "pull_request:9943", + "accept": false, + "reason": "Different feature areas and code paths: SD3 Colab DreamBooth LoRA setup versus Mochi-1 LoRA support. They are not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 244, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8814-2", + "nodes": [ + "pull_request:8814", + "pull_request:8815" + ], + "soft_pairs": [ + "pull_request:8814|pull_request:8815" + ], + "prepared_review_unit_hash": "492428d5e63572d44b17b7547bc615de1603e8fae527fd906bcc7ecdde4495a2", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5381, + "estimated_input_tokens": 1346, + "estimated_eval_tokens": 2948 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5381, + "estimated_input_tokens": 1346, + "estimated_eval_tokens": 2948 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are for the LuminaNextDiT2D/Lumina pipeline work and share the same title and core model file, but PR #8814 is the broader feature-integrating change while #8815 is a narrower follow-up on the same model implementation. They look like closely related duplicate/companion changes rather than unrelated PRs.", + "confidence": 0.78, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8814 is the better canonical PR because it appears to contain the fuller feature set: model, pipeline, scheduler, docs, and package exports. It is more representative of the overall Lumina integration than the narrower model-only follow-up in #8815.", + "best_issue_reason": null, + "best_pr_reason": "PR #8814 is the strongest cluster representative since it covers the end-to-end addition of Lumina support across code and documentation, whereas #8815 only touches the transformer implementation and its tests.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8814", + "right": "pull_request:8815", + "accept": true, + "reason": "Both PRs target the same LuminaNextDiT2D feature area and share the same core files; #8815 looks like a follow-up implementation detail for the same model change, so they could plausibly have been merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 245, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8884-3", + "nodes": [ + "pull_request:8884", + "pull_request:8888", + "pull_request:8893" + ], + "soft_pairs": [ + "pull_request:8884|pull_request:8893", + "pull_request:8888|pull_request:8893" + ], + "prepared_review_unit_hash": "3c4b009bf40d5b28711c49393f0315cf8d77d63dc46e6fceb2cbdb7e5d7c42ea", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 5194, + "estimated_input_tokens": 1299, + "estimated_eval_tokens": 2854 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 5194, + "estimated_input_tokens": 1299, + "estimated_eval_tokens": 2854 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Three sequential PRs all touch the same SSH runner workflow, but they are not duplicates: one adds the workflow, one removes an invalid GPU flag, and one removes an NVIDIA-SMI step. They are related follow-up fixes rather than the same concrete change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8884 is the clearest canonical representative because it introduces the workflow itself; the other two are narrow follow-up edits to that file rather than the same standalone fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #8884 is the most suitable cluster representative since it is the original, broader change and the later PRs are incremental patches on top of it.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8884", + "right": "pull_request:8893", + "accept": false, + "reason": "Same workflow file, but different changes: #8884 adds the SSH runner workflow, while #8893 only removes the NVIDIA-SMI step. These are related follow-ups, not the same underlying fix or mergeable single PR." + }, + { + "left": "pull_request:8888", + "right": "pull_request:8893", + "accept": false, + "reason": "Both are small edits to the same workflow, but they fix different things: #8888 removes `--gpus 0` and #8893 removes `nvidia-smi`. They do not appear to address the same concrete bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 246, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8961-2", + "nodes": [ + "pull_request:8961", + "pull_request:8966" + ], + "soft_pairs": [ + "pull_request:8961|pull_request:8966" + ], + "prepared_review_unit_hash": "8b6e51cd6d833d8488ac2f5a7bdd36454b24f657aa26d05e991b003272f4065e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3430, + "estimated_input_tokens": 858, + "estimated_eval_tokens": 1972 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3430, + "estimated_input_tokens": 858, + "estimated_eval_tokens": 1972 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests target the same tutorial snippet for gradient accumulation in `basic_training.md`; PR 8966 is the cleaner follow-up version of the same fix, so the pair can be treated as duplicates/near-duplicates.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8966 is the better canonical representative: it makes the accumulation guard use `accelerator.sync_gradients`, which is the more correct/idiomatic final form of the same tutorial change, while PR 8961 is the earlier variant.", + "best_issue_reason": null, + "best_pr_reason": "PR 8966 best captures the cluster\u2019s underlying change because it fixes the same tutorial example with the refined gradient-accumulation condition and is the more polished end state.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8961", + "right": "pull_request:8966", + "accept": true, + "reason": "Same markdown tutorial snippet, same target issue, and both implement the same gradient-accumulation fix; 8966 is just the revised form of 8961." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs target the same file and the same issue (8960), and the diffs show the second PR is a follow-up refinement of the same tutorial gradient-accumulation example. The soft-edge verdict is conservative enough, and the pair looks mergeable as a single PR for the same bugfix." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 247, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9050-2", + "nodes": [ + "pull_request:9050", + "pull_request:9845" + ], + "soft_pairs": [ + "pull_request:9050|pull_request:9845" + ], + "prepared_review_unit_hash": "703f08d740bfcc539351cc49768042be50dd8babb8481649e6c6b2b2b0684107", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4618, + "estimated_input_tokens": 1155, + "estimated_eval_tokens": 2566 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4618, + "estimated_input_tokens": 1155, + "estimated_eval_tokens": 2566 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two merged PRs are related only at a broad test-enablement level, but they fix different things: PR 9050 is a Flux-specific change to get Flux tests running, while PR 9845 is a broader big-GPU/LoRA test gating update spanning multiple model families. They are not duplicates.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9050 is the more specific, self-contained Flux testability fix; PR 9845 is broader infrastructure/marker cleanup across several test suites rather than the same concrete change.", + "best_issue_reason": null, + "best_pr_reason": "PR 9050 is the best representative if picking one artifact for this cluster because it is narrowly focused on the Flux path; PR 9845 is too broad and only partially overlaps via one shared test file.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9050", + "right": "pull_request:9845", + "accept": false, + "reason": "Different underlying changes: 9050 adjusts Flux model/pipeline code and tests to run, while 9845 changes LoRA integration test gating and teardown across several suites. Shared Flux test filename is not enough to make them the same PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 248, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-92-2", + "nodes": [ + "pull_request:92", + "pull_request:94" + ], + "soft_pairs": [ + "pull_request:92|pull_request:94" + ], + "prepared_review_unit_hash": "7db1261e7625195395a96c7176cc5fe109d431af4b53467c9b3d8c24748f8a8e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4320, + "estimated_input_tokens": 1080, + "estimated_eval_tokens": 2416 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4320, + "estimated_input_tokens": 1080, + "estimated_eval_tokens": 2416 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two early Hugging Face conversion-script PRs overlap on one shared LDM conversion file, but they target different changes: one is a standalone LDM checkpoint converter, the other is a broader DDPM conversion PR that also includes that script and tests. The overlap looks like reuse/follow-up, not the same underlying change.", + "confidence": 0.77, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #94 is the better canonical representative because it is the more complete change set: it includes the shared LDM conversion script plus the DDPM conversion script and tests, making it the broader and more actionable reference point.", + "best_issue_reason": null, + "best_pr_reason": "PR #94 is the strongest overall PR in the cluster: broader scope, additional validation, and it subsumes the shared file while adding more concrete functionality.", + "soft_edge_verdicts": [ + { + "left": "pull_request:92", + "right": "pull_request:94", + "accept": false, + "reason": "They share one conversion script filename, but the PRs are not the same change: #92 is specifically an LDM converter, while #94 is a DDPM conversion PR that also touches the shared LDM script. That looks like related work rather than a duplicate fix/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 249, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9333-2", + "nodes": [ + "pull_request:9333", + "pull_request:9671" + ], + "soft_pairs": [ + "pull_request:9333|pull_request:9671" + ], + "prepared_review_unit_hash": "68f35a306cf1c021067b03cec33dda439d0d18775932f4035f3b5d352ffa3a44", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5262, + "estimated_input_tokens": 1316, + "estimated_eval_tokens": 2888 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5262, + "estimated_input_tokens": 1316, + "estimated_eval_tokens": 2888 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch CogVideoX and share some docs/init plumbing, but they implement different features: #9333 adds CogVideoX video-to-video support, while #9671 adds CogVideoX-Fun pose control. They are related, but not the same underlying change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "If one PR must be treated as representative, #9671 is the more self-contained and clearly scoped feature addition (pose-controllable CogVideoX-Fun pipeline with tests), whereas #9333 is a separate video-to-video capability.", + "best_issue_reason": null, + "best_pr_reason": "#9671 is the better representative PR because its title, new pipeline file, and test coverage clearly define a single concrete feature scope; #9333 is also valid but describes a different capability.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9333", + "right": "pull_request:9671", + "accept": false, + "reason": "Reject: they share CogVideoX integration files and docs, but #9333 adds video-to-video support and #9671 adds pose control. Different code paths and user-facing features, so they are not duplicates and would not be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 250, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9499-2", + "nodes": [ + "pull_request:9499", + "pull_request:9509" + ], + "soft_pairs": [ + "pull_request:9499|pull_request:9509" + ], + "prepared_review_unit_hash": "3cdd30150a517917c036a45f9ce25124d597eea86195630e027cff50b4d6828d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4272, + "estimated_input_tokens": 1068, + "estimated_eval_tokens": 2392 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4272, + "estimated_input_tokens": 1068, + "estimated_eval_tokens": 2392 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related scheduler feature PRs in the same file, but they implement different sigma schedules (exponential vs beta) and are not duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:9499", + "right": "pull_request:9509", + "accept": false, + "reason": "Both modify EulerDiscreteScheduler, but one adds exponential sigmas and the other adds beta sigmas. Different underlying changes and no evidence they could be merged as the same PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 251, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9518-2", + "nodes": [ + "pull_request:9518", + "pull_request:9538" + ], + "soft_pairs": [ + "pull_request:9518|pull_request:9538" + ], + "prepared_review_unit_hash": "42a868e6cf7b04ea9190e5a94f231e3f146aca9192f315fddd883c1ef7dcc5ac", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6414, + "estimated_input_tokens": 1604, + "estimated_eval_tokens": 3464 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6414, + "estimated_input_tokens": 1604, + "estimated_eval_tokens": 3464 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests update the same scheduler docs and several scheduler implementations, but they add different features: PR #9518 introduces exponential sigmas, while PR #9538 introduces beta sigmas. They are related, but not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9538 is the better canonical PR for this cluster because it is the later, more specific follow-up change and the titles clearly distinguish the new beta-sigma feature from the earlier exponential-sigma work.", + "best_issue_reason": null, + "best_pr_reason": "PR #9538 is the best representative of the cluster since it captures the broader follow-up pattern across the same scheduler files and docs, but it is still a distinct change rather than the same fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9518", + "right": "pull_request:9538", + "accept": false, + "reason": "Reject: these PRs modify overlapping scheduler code and docs, but they implement different sigma types (exponential vs beta). Same subsystem and file set, but not the same underlying change or code-path fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 252, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9564-3", + "nodes": [ + "pull_request:9564", + "pull_request:9854", + "pull_request:9855" + ], + "soft_pairs": [ + "pull_request:9564|pull_request:9854", + "pull_request:9564|pull_request:9855", + "pull_request:9854|pull_request:9855" + ], + "prepared_review_unit_hash": "907c8f32db51ca1eccb73e1430620a4104cfa027928aed54ec0e78f686c513f7", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7038, + "estimated_input_tokens": 1760, + "estimated_eval_tokens": 3776 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7038, + "estimated_input_tokens": 1760, + "estimated_eval_tokens": 3776 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three pull requests appear to be duplicate incarnations of the same PEFT compatibility patch: adding `low_cpu_mem_usage` handling and a version guard in LoRA loading code. No issue is present in the cluster.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9854 is the cleanest canonical PR: it has the same patch as the others, a readable title, and no indication of a divergent implementation.", + "best_issue_reason": null, + "best_pr_reason": "PR #9854 is the best representative because it is the clearest-labeled version of the identical change set; #9564 and #9855 are effectively the same patch under different fork/sync titles.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9564", + "right": "pull_request:9854", + "accept": true, + "reason": "Same concrete code change and same edited files; the diff preview is effectively identical, so these look like duplicate PRs for the same fix." + }, + { + "left": "pull_request:9564", + "right": "pull_request:9855", + "accept": true, + "reason": "Same patch in the same LoRA loader path, with identical version-guard logic and file footprint; this is the same underlying change." + }, + { + "left": "pull_request:9854", + "right": "pull_request:9855", + "accept": true, + "reason": "These two PRs are near-exact duplicates: same titles in essence, same files, and the same diff hunk adding the PEFT compatibility check." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: all three PRs show the same diff preview, the same affected filenames, and the same PEFT/low_cpu_mem_usage compatibility guard. The soft-edge accepts are also supported by the identical patch content, so the duplicate-pr conclusion is conservative enough." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 253, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9631-2", + "nodes": [ + "pull_request:9631", + "pull_request:9642" + ], + "soft_pairs": [ + "pull_request:9631|pull_request:9642" + ], + "prepared_review_unit_hash": "fe0a48c8f340933d0153d92cb3cd00df5dda918f3a8c38b24435e0836674b92a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2888, + "estimated_input_tokens": 722, + "estimated_eval_tokens": 1700 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2888, + "estimated_input_tokens": 722, + "estimated_eval_tokens": 1700 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These look like the same PR topic: identical title, same NPU/performance goal, and the merged PR 9642 appears to be the finalized version of the earlier closed PR 9631. No issue artifacts are present.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9642 is the better canonical PR because it is merged and includes the concrete code changes in the target file, while 9631 is a closed/unmerged antecedent with the same title and likely the same change set.", + "best_issue_reason": null, + "best_pr_reason": "PR 9642 is the best representative because it is the merged, implemented version of the change and therefore the most useful single artifact to keep for triage.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9631", + "right": "pull_request:9642", + "accept": true, + "reason": "Accept: same title and same underlying NPU/performance change; 9642 looks like the merged continuation/finalization of 9631 rather than a separate fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 254, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9651-2", + "nodes": [ + "pull_request:9651", + "pull_request:9652" + ], + "soft_pairs": [ + "pull_request:9651|pull_request:9652" + ], + "prepared_review_unit_hash": "215c46aec8c3bf3e6b08863dd1459da42e09db4a5c63cc39d54b19eb3e241660", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3180, + "estimated_input_tokens": 795, + "estimated_eval_tokens": 1846 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3180, + "estimated_input_tokens": 795, + "estimated_eval_tokens": 1846 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged PRs make the same small constructor change pattern, but in different ControlNet pipeline implementations for different model families, so they are similar rather than duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is canonical for a duplicate cluster here; the PRs target different code paths and model-specific classes.", + "best_issue_reason": null, + "best_pr_reason": "PR 9651 is a slightly cleaner representative only because it is the first/explicit example of the shared pattern, but it is not a duplicate of PR 9652.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9651", + "right": "pull_request:9652", + "accept": false, + "reason": "Same general pattern (wrap list/tuple controlnets in a multi-controlnet model), but they fix different pipeline constructors in different subsystems/classes, so they are not the same underlying change and would not plausibly merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 255, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9842-2", + "nodes": [ + "pull_request:9842", + "pull_request:9879" + ], + "soft_pairs": [ + "pull_request:9842|pull_request:9879" + ], + "prepared_review_unit_hash": "d3ebf81e7705f49fe385546b931c82d35f72709a6d372e809eeb658fa5e9bfef", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4393, + "estimated_input_tokens": 1099, + "estimated_eval_tokens": 2454 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4393, + "estimated_input_tokens": 1099, + "estimated_eval_tokens": 2454 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests address the same DreamBooth SDXL LoRA/DoRA TypeError in the same file and under the same tracked issue; PR #9879 is the merged, more complete fix.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9879 is merged and implements the same fix plus the PEFT version guard, making it the best canonical representative.", + "best_issue_reason": null, + "best_pr_reason": "PR #9879 is the strongest standalone PR because it is closed-merged and appears to fully resolve the same bug path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9842", + "right": "pull_request:9879", + "accept": true, + "reason": "Same underlying DreamBooth SDXL LoRA config bug in the same file, same issue target, and the diffs are on the same fix path; they could plausibly be combined into one PR." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs touch the same file, share the same explicit issue target (9841), and the diffs are on the same fix path. The note that PR #9879 is the merged, more complete fix is also supported by the packet. 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are treated as duplicates because they converge on issue #11208 with closing_reference evidence." + }, + { + "cluster_id": "cluster-11257-2", + "canonical_pr_number": 11701, + "duplicate_pr_numbers": [ + 11257 + ], + "target_issue_number": null, + "reason": "PRs in cluster-11257-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-11315-4", + "canonical_pr_number": 12665, + "duplicate_pr_numbers": [ + 11316 + ], + "target_issue_number": 11315, + "reason": "PRs in cluster-11315-4 are treated as duplicates because they converge on issue #11315 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-11358-2", + "canonical_pr_number": 11747, + "duplicate_pr_numbers": [ + 11358 + ], + "target_issue_number": null, + "reason": "PRs in cluster-11358-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-11386-2", + "canonical_pr_number": 11386, + "duplicate_pr_numbers": [ + 11391 + ], + "target_issue_number": null, + "reason": "PRs in cluster-11386-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-11390-8", + "canonical_pr_number": 11463, + "duplicate_pr_numbers": [ + 11395, + 11426, + 11427, + 11449, + 11491, + 11492 + ], + "target_issue_number": 11390, + "reason": "PRs in cluster-11390-8 are treated as duplicates because they converge on issue #11390 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-11430-3", + "canonical_pr_number": 11512, + "duplicate_pr_numbers": [ + 11511 + ], + "target_issue_number": 11430, + "reason": "PRs in cluster-11430-3 are treated as duplicates because they converge on issue #11430 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-11522-2", + "canonical_pr_number": 12069, + "duplicate_pr_numbers": [ + 11522 + ], + "target_issue_number": null, + "reason": "PRs in cluster-11522-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-11663-2", + "canonical_pr_number": 11738, + "duplicate_pr_numbers": [ + 11663 + ], + "target_issue_number": null, + "reason": "PRs in cluster-11663-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-11702-4", + "canonical_pr_number": 11704, + "duplicate_pr_numbers": [ + 11726 + ], + "target_issue_number": 11709, + "reason": "PRs in cluster-11702-4 are treated as duplicates because they converge on issue #11709 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-11730-4", + "canonical_pr_number": 11744, + "duplicate_pr_numbers": [ + 11782, + 11783 + ], + "target_issue_number": 11730, + "reason": "PRs in cluster-11730-4 are treated as duplicates because they converge on issue #11730 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-12004-3", + "canonical_pr_number": 12006, + "duplicate_pr_numbers": [ + 12004, + 12024 + ], + "target_issue_number": null, + "reason": "PRs in cluster-12004-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-12049-2", + "canonical_pr_number": 12076, + "duplicate_pr_numbers": [ + 12049 + ], + "target_issue_number": null, + "reason": "PRs in cluster-12049-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-1209-2", + "canonical_pr_number": 1245, + "duplicate_pr_numbers": [ + 1209 + ], + "target_issue_number": null, + "reason": "PRs in cluster-1209-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-12142-2", + "canonical_pr_number": 12143, + "duplicate_pr_numbers": [ + 12142 + ], + "target_issue_number": null, + "reason": "PRs in cluster-12142-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-12236-2", + "canonical_pr_number": 12236, + "duplicate_pr_numbers": [ + 12387 + ], + "target_issue_number": null, + "reason": "PRs in cluster-12236-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-12267-2", + "canonical_pr_number": 12289, + "duplicate_pr_numbers": [ + 12267 + ], + "target_issue_number": null, + "reason": "PRs in cluster-12267-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-12269-2", + "canonical_pr_number": 12454, + "duplicate_pr_numbers": [ + 12269 + ], + "target_issue_number": null, + "reason": "PRs in cluster-12269-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-12322-2", + "canonical_pr_number": 12322, + "duplicate_pr_numbers": [ + 12820 + ], + "target_issue_number": null, + "reason": "PRs in cluster-12322-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-12336-2", + "canonical_pr_number": 12342, + "duplicate_pr_numbers": [ + 12336 + ], + "target_issue_number": null, + "reason": "PRs in cluster-12336-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-12351-2", + "canonical_pr_number": 12366, + "duplicate_pr_numbers": [ + 12351 + ], + "target_issue_number": null, + "reason": "PRs in cluster-12351-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-1236-2", + "canonical_pr_number": 1236, + "duplicate_pr_numbers": [ + 1457 + ], + "target_issue_number": null, + "reason": "PRs in cluster-1236-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-12441-3", + "canonical_pr_number": 12526, + "duplicate_pr_numbers": [ + 12442 + ], + "target_issue_number": 12441, + "reason": "PRs in cluster-12441-3 are treated as duplicates because they converge on issue #12441 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-12458-3", + "canonical_pr_number": 12698, + "duplicate_pr_numbers": [ + 12467 + ], + "target_issue_number": 12458, + "reason": "PRs in cluster-12458-3 are treated as duplicates because they converge on issue #12458 with closing_reference evidence." + }, + { + "cluster_id": "cluster-1246-21", + "canonical_pr_number": 6566, + "duplicate_pr_numbers": [ + 10783, + 10889, + 13273 + ], + "target_issue_number": 13124, + "reason": "PRs in cluster-1246-21 are treated as duplicates because they converge on issue #13124 with closing_reference, duplicate_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-1256-2", + "canonical_pr_number": 1258, + "duplicate_pr_numbers": [ + 1256 + ], + "target_issue_number": null, + "reason": "PRs in cluster-1256-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-1257-4", + "canonical_pr_number": 1361, + "duplicate_pr_numbers": [ + 3000 + ], + "target_issue_number": 1257, + "reason": "PRs in cluster-1257-4 are treated as duplicates because they converge on issue #1257 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-12617-2", + "canonical_pr_number": 12617, + "duplicate_pr_numbers": [ + 12671 + ], + "target_issue_number": null, + "reason": "PRs in cluster-12617-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-12622-21", + "canonical_pr_number": 12622, + "duplicate_pr_numbers": [ + 12651, + 12654, + 12676, + 12678, + 12710, + 12726, + 12766, + 12767, + 12796, + 12798, + 12871, + 12928, + 12931, + 12936, + 12992, + 13010, + 13020, + 13023, + 13024, + 13027 + ], + "target_issue_number": null, + "reason": "PRs in cluster-12622-21 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-12754-3", + "canonical_pr_number": 12762, + "duplicate_pr_numbers": [ + 13103 + ], + "target_issue_number": 12754, + "reason": "PRs in cluster-12754-3 are treated as duplicates because they converge on issue #12754 with closing_reference, shared_issue_target evidence." + }, + { + "cluster_id": "cluster-12771-4", + "canonical_pr_number": 12788, + "duplicate_pr_numbers": [ + 13239, + 13240 + ], + "target_issue_number": 12771, + "reason": "PRs in cluster-12771-4 are treated as duplicates because they converge on issue #12771 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-12869-2", + "canonical_pr_number": 12870, + "duplicate_pr_numbers": [ + 12869 + ], + "target_issue_number": null, + "reason": "PRs in cluster-12869-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-12905-3", + "canonical_pr_number": 13183, + "duplicate_pr_numbers": [ + 13094 + ], + "target_issue_number": 12905, + "reason": "PRs in cluster-12905-3 are treated as duplicates because they converge on issue #12905 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-13069-2", + "canonical_pr_number": 13071, + "duplicate_pr_numbers": [ + 13069 + ], + "target_issue_number": null, + "reason": "PRs in cluster-13069-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-13074-3", + "canonical_pr_number": 13075, + "duplicate_pr_numbers": [ + 13093 + ], + "target_issue_number": 13074, + "reason": "PRs in cluster-13074-3 are treated as duplicates because they converge on issue #13074 with closing_reference, shared_issue_target evidence." + }, + { + "cluster_id": "cluster-13077-4", + "canonical_pr_number": 13136, + "duplicate_pr_numbers": [ + 13102, + 13128 + ], + "target_issue_number": 13077, + "reason": "PRs in cluster-13077-4 are treated as duplicates because they converge on issue #13077 with closing_reference evidence." + }, + { + "cluster_id": "cluster-13118-2", + "canonical_pr_number": 13189, + "duplicate_pr_numbers": [ + 13118 + ], + "target_issue_number": null, + "reason": "PRs in cluster-13118-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-1312-2", + "canonical_pr_number": 2602, + "duplicate_pr_numbers": [ + 1312 + ], + "target_issue_number": null, + "reason": "PRs in cluster-1312-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-13137-6", + "canonical_pr_number": 13169, + "duplicate_pr_numbers": [ + 13326 + ], + "target_issue_number": 13261, + "reason": "PRs in cluster-13137-6 are treated as duplicates because they converge on issue #13261 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-13255-2", + "canonical_pr_number": 13255, + "duplicate_pr_numbers": [ + 13313 + ], + "target_issue_number": null, + "reason": "PRs in cluster-13255-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-13292-3", + "canonical_pr_number": 13415, + "duplicate_pr_numbers": [ + 13307 + ], + "target_issue_number": 13292, + "reason": "PRs in cluster-13292-3 are treated as duplicates because they converge on issue #13292 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-1334-2", + "canonical_pr_number": 1426, + "duplicate_pr_numbers": [ + 1334 + ], + "target_issue_number": null, + "reason": "PRs in cluster-1334-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-13377-3", + "canonical_pr_number": 13379, + "duplicate_pr_numbers": [ + 13449 + ], + "target_issue_number": 13377, + "reason": "PRs in cluster-13377-3 are treated as duplicates because they converge on issue #13377 with closing_reference evidence." + }, + { + "cluster_id": "cluster-13411-3", + "canonical_pr_number": 13466, + "duplicate_pr_numbers": [ + 13412 + ], + "target_issue_number": 13411, + "reason": "PRs in cluster-13411-3 are treated as duplicates because they converge on issue #13411 with closing_reference, shared_issue_target evidence." + }, + { + "cluster_id": "cluster-13462-3", + "canonical_pr_number": 13471, + "duplicate_pr_numbers": [ + 13468 + ], + "target_issue_number": 13462, + "reason": "PRs in cluster-13462-3 are treated as duplicates because they converge on issue #13462 with closing_reference evidence." + }, + { + "cluster_id": "cluster-13467-2", + "canonical_pr_number": 13497, + "duplicate_pr_numbers": [ + 13467 + ], + "target_issue_number": null, + "reason": "PRs in cluster-13467-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-1466-4", + "canonical_pr_number": 2070, + "duplicate_pr_numbers": [ + 1547 + ], + "target_issue_number": 1466, + "reason": "PRs in cluster-1466-4 are treated as duplicates because they converge on issue #1466 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-1567-2", + "canonical_pr_number": 1618, + "duplicate_pr_numbers": [ + 1567 + ], + "target_issue_number": null, + "reason": "PRs in cluster-1567-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-1711-2", + "canonical_pr_number": 1714, + "duplicate_pr_numbers": [ + 1711 + ], + "target_issue_number": null, + "reason": "PRs in cluster-1711-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-1788-2", + "canonical_pr_number": 2094, + "duplicate_pr_numbers": [ + 1788 + ], + "target_issue_number": null, + "reason": "PRs in cluster-1788-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-1988-10", + "canonical_pr_number": 4796, + "duplicate_pr_numbers": [ + 4632, + 7858 + ], + "target_issue_number": 4619, + "reason": "PRs in cluster-1988-10 are treated as duplicates because they converge on issue #4619 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-2067-3", + "canonical_pr_number": 2147, + "duplicate_pr_numbers": [ + 2067, + 2096 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2067-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2098-6", + "canonical_pr_number": 3197, + "duplicate_pr_numbers": [ + 3201, + 3265 + ], + "target_issue_number": 3008, + "reason": "PRs in cluster-2098-6 are treated as duplicates because they converge on issue #3008 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-2125-2", + "canonical_pr_number": 2127, + "duplicate_pr_numbers": [ + 2125 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2125-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2217-2", + "canonical_pr_number": 2259, + "duplicate_pr_numbers": [ + 2217 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2217-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2271-2", + "canonical_pr_number": 2846, + "duplicate_pr_numbers": [ + 2271 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2271-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2383-2", + "canonical_pr_number": 2383, + "duplicate_pr_numbers": [ + 2384 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2383-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2417-2", + "canonical_pr_number": 2418, + "duplicate_pr_numbers": [ + 2417 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2417-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2450-2", + "canonical_pr_number": 2451, + "duplicate_pr_numbers": [ + 2450 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2450-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2541-2", + "canonical_pr_number": 2566, + "duplicate_pr_numbers": [ + 2541 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2541-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2647-3", + "canonical_pr_number": 2684, + "duplicate_pr_numbers": [ + 2647, + 2748 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2647-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2741-2", + "canonical_pr_number": 2751, + "duplicate_pr_numbers": [ + 2741 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2741-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2812-3", + "canonical_pr_number": 2815, + "duplicate_pr_numbers": [ + 2812, + 2813 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2812-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2825-2", + "canonical_pr_number": 2826, + "duplicate_pr_numbers": [ + 2825 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2825-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-2842-2", + "canonical_pr_number": 2962, + "duplicate_pr_numbers": [ + 2842 + ], + "target_issue_number": null, + "reason": "PRs in cluster-2842-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3084-2", + "canonical_pr_number": 3459, + "duplicate_pr_numbers": [ + 3084 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3084-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3168-5", + "canonical_pr_number": 3168, + "duplicate_pr_numbers": [ + 3676, + 3687, + 6017, + 6018 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3168-5 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3237-2", + "canonical_pr_number": 3285, + "duplicate_pr_numbers": [ + 3237 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3237-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-326-3", + "canonical_pr_number": 327, + "duplicate_pr_numbers": [ + 326, + 333 + ], + "target_issue_number": null, + "reason": "PRs in cluster-326-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3458-2", + "canonical_pr_number": 3460, + "duplicate_pr_numbers": [ + 3458 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3458-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3470-2", + "canonical_pr_number": 3470, + "duplicate_pr_numbers": [ + 3472 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3470-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3554-2", + "canonical_pr_number": 3555, + "duplicate_pr_numbers": [ + 3554 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3554-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3709-2", + "canonical_pr_number": 3710, + "duplicate_pr_numbers": [ + 3709 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3709-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3744-2", + "canonical_pr_number": 3745, + "duplicate_pr_numbers": [ + 3744 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3744-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3797-2", + "canonical_pr_number": 3797, + "duplicate_pr_numbers": [ + 3957 + ], + "target_issue_number": null, + "reason": "PRs in cluster-3797-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-3880-3", + "canonical_pr_number": 4536, + "duplicate_pr_numbers": [ + 3921 + ], + "target_issue_number": 3880, + "reason": "PRs in cluster-3880-3 are treated as duplicates because they converge on issue #3880 with closing_reference evidence." + }, + { + "cluster_id": "cluster-4076-2", + "canonical_pr_number": 4079, + "duplicate_pr_numbers": [ + 4076 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4076-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4131-2", + "canonical_pr_number": 4138, + "duplicate_pr_numbers": [ + 4131 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4131-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4315-2", + "canonical_pr_number": 5298, + "duplicate_pr_numbers": [ + 4315 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4315-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4451-3", + "canonical_pr_number": 4451, + "duplicate_pr_numbers": [ + 5093, + 5220 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4451-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4475-2", + "canonical_pr_number": 4493, + "duplicate_pr_numbers": [ + 4475 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4475-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4485-2", + "canonical_pr_number": 4486, + "duplicate_pr_numbers": [ + 4485 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4485-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4498-5", + "canonical_pr_number": 4502, + "duplicate_pr_numbers": [ + 4498, + 4499, + 4500, + 4501 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4498-5 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4544-2", + "canonical_pr_number": 4590, + "duplicate_pr_numbers": [ + 4544 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4544-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4553-3", + "canonical_pr_number": 4558, + "duplicate_pr_numbers": [ + 4603 + ], + "target_issue_number": 4553, + "reason": "PRs in cluster-4553-3 are treated as duplicates because they converge on issue #4553 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-4595-2", + "canonical_pr_number": 4596, + "duplicate_pr_numbers": [ + 4595 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4595-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4629-3", + "canonical_pr_number": 4661, + "duplicate_pr_numbers": [ + 4629, + 4659 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4629-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4655-2", + "canonical_pr_number": 5747, + "duplicate_pr_numbers": [ + 4655 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4655-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4704-3", + "canonical_pr_number": 4926, + "duplicate_pr_numbers": [ + 4707 + ], + "target_issue_number": 4704, + "reason": "PRs in cluster-4704-3 are treated as duplicates because they converge on issue #4704 with closing_reference evidence." + }, + { + "cluster_id": "cluster-4790-5", + "canonical_pr_number": 12964, + "duplicate_pr_numbers": [ + 11306 + ], + "target_issue_number": 11285, + "reason": "PRs in cluster-4790-5 are treated as duplicates because they converge on issue #11285 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-4810-2", + "canonical_pr_number": 4810, + "duplicate_pr_numbers": [ + 4891 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4810-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4833-2", + "canonical_pr_number": 4833, + "duplicate_pr_numbers": [ + 5003 + ], + "target_issue_number": null, + "reason": "PRs in cluster-4833-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-4899-3", + "canonical_pr_number": 5938, + "duplicate_pr_numbers": [ + 4899 + ], + "target_issue_number": 5800, + "reason": "PRs in cluster-4899-3 are treated as duplicates because they converge on issue #5800 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5062-3", + "canonical_pr_number": 5066, + "duplicate_pr_numbers": [ + 5065 + ], + "target_issue_number": 5062, + "reason": "PRs in cluster-5062-3 are treated as duplicates because they converge on issue #5062 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5214-3", + "canonical_pr_number": 5305, + "duplicate_pr_numbers": [ + 5214 + ], + "target_issue_number": 5216, + "reason": "PRs in cluster-5214-3 are treated as duplicates because they converge on issue #5216 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5243-2", + "canonical_pr_number": 5255, + "duplicate_pr_numbers": [ + 5243 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5243-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-5249-4", + "canonical_pr_number": 5293, + "duplicate_pr_numbers": [ + 5299, + 5312 + ], + "target_issue_number": 5249, + "reason": "PRs in cluster-5249-4 are treated as duplicates because they converge on issue #5249 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5262-4", + "canonical_pr_number": 5370, + "duplicate_pr_numbers": [ + 5288, + 5366 + ], + "target_issue_number": 5262, + "reason": "PRs in cluster-5262-4 are treated as duplicates because they converge on issue #5262 with closing_reference evidence." + }, + { + "cluster_id": "cluster-5264-3", + "canonical_pr_number": 5535, + "duplicate_pr_numbers": [ + 5280 + ], + "target_issue_number": 5264, + "reason": "PRs in cluster-5264-3 are treated as duplicates because they converge on issue #5264 with closing_reference, shared_issue_target evidence." + }, + { + "cluster_id": "cluster-5285-3", + "canonical_pr_number": 5478, + "duplicate_pr_numbers": [ + 5286 + ], + "target_issue_number": 5285, + "reason": "PRs in cluster-5285-3 are treated as duplicates because they converge on issue #5285 with closing_reference evidence." + }, + { + "cluster_id": "cluster-5302-3", + "canonical_pr_number": 5304, + "duplicate_pr_numbers": [ + 5303 + ], + "target_issue_number": 5302, + "reason": "PRs in cluster-5302-3 are treated as duplicates because they converge on issue #5302 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5347-2", + "canonical_pr_number": 5349, + "duplicate_pr_numbers": [ + 5347 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5347-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-5420-3", + "canonical_pr_number": 6346, + "duplicate_pr_numbers": [ + 5420 + ], + "target_issue_number": 6351, + "reason": "PRs in cluster-5420-3 are treated as duplicates because they converge on issue #6351 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5504-3", + "canonical_pr_number": 5697, + "duplicate_pr_numbers": [ + 5506 + ], + "target_issue_number": 5504, + "reason": "PRs in cluster-5504-3 are treated as duplicates because they converge on issue #5504 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5524-3", + "canonical_pr_number": 5704, + "duplicate_pr_numbers": [ + 5696 + ], + "target_issue_number": 5524, + "reason": "PRs in cluster-5524-3 are treated as duplicates because they converge on issue #5524 with closing_reference evidence." + }, + { + "cluster_id": "cluster-5725-3", + "canonical_pr_number": 5748, + "duplicate_pr_numbers": [ + 5725, + 5744 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5725-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-5783-4", + "canonical_pr_number": 7599, + "duplicate_pr_numbers": [ + 7048 + ], + "target_issue_number": 5783, + "reason": "PRs in cluster-5783-4 are treated as duplicates because they converge on issue #5783 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5834-2", + "canonical_pr_number": 5834, + "duplicate_pr_numbers": [ + 7934 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5834-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-5878-2", + "canonical_pr_number": 5878, + "duplicate_pr_numbers": [ + 5879 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5878-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-5886-3", + "canonical_pr_number": 5911, + "duplicate_pr_numbers": [ + 5910 + ], + "target_issue_number": 5886, + "reason": "PRs in cluster-5886-3 are treated as duplicates because they converge on issue #5886 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-5906-2", + "canonical_pr_number": 5914, + "duplicate_pr_numbers": [ + 5906 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5906-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-5970-2", + "canonical_pr_number": 5971, + "duplicate_pr_numbers": [ + 5970 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5970-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-5986-2", + "canonical_pr_number": 5986, + "duplicate_pr_numbers": [ + 6004 + ], + "target_issue_number": null, + "reason": "PRs in cluster-5986-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6078-2", + "canonical_pr_number": 6078, + "duplicate_pr_numbers": [ + 6081 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6078-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6123-3", + "canonical_pr_number": 6328, + "duplicate_pr_numbers": [ + 6509 + ], + "target_issue_number": 6123, + "reason": "PRs in cluster-6123-3 are treated as duplicates because they converge on issue #6123 with closing_reference evidence." + }, + { + "cluster_id": "cluster-6137-4", + "canonical_pr_number": 8312, + "duplicate_pr_numbers": [ + 6143 + ], + "target_issue_number": 8236, + "reason": "PRs in cluster-6137-4 are treated as duplicates because they converge on issue #8236 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-6158-3", + "canonical_pr_number": 6721, + "duplicate_pr_numbers": [ + 6195 + ], + "target_issue_number": 6158, + "reason": "PRs in cluster-6158-3 are treated as duplicates because they converge on issue #6158 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-6208-2", + "canonical_pr_number": 6208, + "duplicate_pr_numbers": [ + 6241 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6208-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6299-3", + "canonical_pr_number": 6299, + "duplicate_pr_numbers": [ + 6300, + 6301 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6299-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6424-2", + "canonical_pr_number": 6789, + "duplicate_pr_numbers": [ + 6424 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6424-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-643-3", + "canonical_pr_number": 645, + "duplicate_pr_numbers": [ + 643, + 644 + ], + "target_issue_number": null, + "reason": "PRs in cluster-643-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6503-6", + "canonical_pr_number": 6532, + "duplicate_pr_numbers": [ + 6525, + 6534, + 6555, + 6556 + ], + "target_issue_number": 6503, + "reason": "PRs in cluster-6503-6 are treated as duplicates because they converge on issue #6503 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-6514-3", + "canonical_pr_number": 6514, + "duplicate_pr_numbers": [ + 6554, + 6840 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6514-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6545-3", + "canonical_pr_number": 6569, + "duplicate_pr_numbers": [ + 8283 + ], + "target_issue_number": 6545, + "reason": "PRs in cluster-6545-3 are treated as duplicates because they converge on issue #6545 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-6585-11", + "canonical_pr_number": 6737, + "duplicate_pr_numbers": [ + 6672, + 6719, + 6740, + 6765, + 6766, + 6767, + 6768, + 6769, + 6781 + ], + "target_issue_number": 6585, + "reason": "PRs in cluster-6585-11 are treated as duplicates because they converge on issue #6585 with closing_reference, shared_issue_target evidence." + }, + { + "cluster_id": "cluster-6627-2", + "canonical_pr_number": 6849, + "duplicate_pr_numbers": [ + 6627 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6627-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6688-3", + "canonical_pr_number": 7005, + "duplicate_pr_numbers": [ + 6844 + ], + "target_issue_number": 6688, + "reason": "PRs in cluster-6688-3 are treated as duplicates because they converge on issue #6688 with closing_reference evidence." + }, + { + "cluster_id": "cluster-6866-4", + "canonical_pr_number": 6941, + "duplicate_pr_numbers": [ + 7030, + 7031 + ], + "target_issue_number": 6866, + "reason": "PRs in cluster-6866-4 are treated as duplicates because they converge on issue #6866 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-6875-2", + "canonical_pr_number": 6960, + "duplicate_pr_numbers": [ + 6875 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6875-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6891-3", + "canonical_pr_number": 7615, + "duplicate_pr_numbers": [ + 7613 + ], + "target_issue_number": 6891, + "reason": "PRs in cluster-6891-3 are treated as duplicates because they converge on issue #6891 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-6907-4", + "canonical_pr_number": 6909, + "duplicate_pr_numbers": [ + 6907, + 6908, + 6910 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6907-4 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6980-2", + "canonical_pr_number": 6983, + "duplicate_pr_numbers": [ + 6980 + ], + "target_issue_number": null, + "reason": "PRs in cluster-6980-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-6984-7", + "canonical_pr_number": 7071, + "duplicate_pr_numbers": [ + 7052, + 7211, + 7307, + 8376, + 8387 + ], + "target_issue_number": 6984, + "reason": "PRs in cluster-6984-7 are treated as duplicates because they converge on issue #6984 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-7038-3", + "canonical_pr_number": 7550, + "duplicate_pr_numbers": [ + 7442 + ], + "target_issue_number": 7038, + "reason": "PRs in cluster-7038-3 are treated as duplicates because they converge on issue #7038 with closing_reference evidence." + }, + { + "cluster_id": "cluster-7233-2", + "canonical_pr_number": 7235, + "duplicate_pr_numbers": [ + 7233 + ], + "target_issue_number": null, + "reason": "PRs in cluster-7233-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-7246-2", + "canonical_pr_number": 7825, + "duplicate_pr_numbers": [ + 7246 + ], + "target_issue_number": null, + "reason": "PRs in cluster-7246-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-754-2", + "canonical_pr_number": 754, + "duplicate_pr_numbers": [ + 869 + ], + "target_issue_number": null, + "reason": "PRs in cluster-754-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-7677-3", + "canonical_pr_number": 7865, + "duplicate_pr_numbers": [ + 7898 + ], + "target_issue_number": 7677, + "reason": "PRs in cluster-7677-3 are treated as duplicates because they converge on issue #7677 with closing_reference evidence." + }, + { + "cluster_id": "cluster-7692-2", + "canonical_pr_number": 7876, + "duplicate_pr_numbers": [ + 7692 + ], + "target_issue_number": null, + "reason": "PRs in cluster-7692-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-7730-3", + "canonical_pr_number": 11156, + "duplicate_pr_numbers": [ + 7742 + ], + "target_issue_number": 7730, + "reason": "PRs in cluster-7730-3 are treated as duplicates because they converge on issue #7730 with closing_reference evidence." + }, + { + "cluster_id": "cluster-7736-3", + "canonical_pr_number": 7761, + "duplicate_pr_numbers": [ + 7739 + ], + "target_issue_number": 7736, + "reason": "PRs in cluster-7736-3 are treated as duplicates because they converge on issue #7736 with closing_reference evidence." + }, + { + "cluster_id": "cluster-8308-2", + "canonical_pr_number": 8310, + "duplicate_pr_numbers": [ + 8308 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8308-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-831-2", + "canonical_pr_number": 831, + "duplicate_pr_numbers": [ + 1490 + ], + "target_issue_number": null, + "reason": "PRs in cluster-831-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8384-4", + "canonical_pr_number": 11239, + "duplicate_pr_numbers": [ + 10973, + 11240 + ], + "target_issue_number": 8384, + "reason": "PRs in cluster-8384-4 are treated as duplicates because they converge on issue #8384 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-8446-5", + "canonical_pr_number": 8461, + "duplicate_pr_numbers": [ + 8446, + 8476, + 9308, + 9316 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8446-5 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8478-2", + "canonical_pr_number": 8478, + "duplicate_pr_numbers": [ + 8479 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8478-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8490-2", + "canonical_pr_number": 8490, + "duplicate_pr_numbers": [ + 8860 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8490-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8710-3", + "canonical_pr_number": 9386, + "duplicate_pr_numbers": [ + 8725 + ], + "target_issue_number": 8710, + "reason": "PRs in cluster-8710-3 are treated as duplicates because they converge on issue #8710 with closing_reference evidence." + }, + { + "cluster_id": "cluster-8773-2", + "canonical_pr_number": 8773, + "duplicate_pr_numbers": [ + 8976 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8773-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8798-2", + "canonical_pr_number": 8798, + "duplicate_pr_numbers": [ + 8913 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8798-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8810-4", + "canonical_pr_number": 8864, + "duplicate_pr_numbers": [ + 8810, + 9917 + ], + "target_issue_number": 9886, + "reason": "PRs in cluster-8810-4 are treated as duplicates because they converge on issue #9886 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-8814-2", + "canonical_pr_number": 8815, + "duplicate_pr_numbers": [ + 8814 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8814-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8816-2", + "canonical_pr_number": 8820, + "duplicate_pr_numbers": [ + 8816 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8816-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8949-2", + "canonical_pr_number": 8949, + "duplicate_pr_numbers": [ + 8980 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8949-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8960-3", + "canonical_pr_number": 8966, + "duplicate_pr_numbers": [ + 8961 + ], + "target_issue_number": 8960, + "reason": "PRs in cluster-8960-3 are treated as duplicates because they converge on issue #8960 with closing_reference, shared_issue_target evidence." + }, + { + "cluster_id": "cluster-8973-2", + "canonical_pr_number": 8985, + "duplicate_pr_numbers": [ + 8973 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8973-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-8992-2", + "canonical_pr_number": 9040, + "duplicate_pr_numbers": [ + 8992 + ], + "target_issue_number": null, + "reason": "PRs in cluster-8992-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-9080-2", + "canonical_pr_number": 9082, + "duplicate_pr_numbers": [ + 9080 + ], + "target_issue_number": null, + "reason": "PRs in cluster-9080-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-916-2", + "canonical_pr_number": 1110, + "duplicate_pr_numbers": [ + 916 + ], + "target_issue_number": null, + "reason": "PRs in cluster-916-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-9237-4", + "canonical_pr_number": 9419, + "duplicate_pr_numbers": [ + 9549 + ], + "target_issue_number": 9237, + "reason": "PRs in cluster-9237-4 are treated as duplicates because they converge on issue #9237 with closing_reference, soft_similarity evidence." + }, + { + "cluster_id": "cluster-9403-3", + "canonical_pr_number": 10261, + "duplicate_pr_numbers": [ + 9787 + ], + "target_issue_number": 9403, + "reason": "PRs in cluster-9403-3 are treated as duplicates because they converge on issue #9403 with closing_reference, shared_issue_target evidence." + }, + { + "cluster_id": "cluster-9564-3", + "canonical_pr_number": 9564, + "duplicate_pr_numbers": [ + 9854, + 9855 + ], + "target_issue_number": null, + "reason": "PRs in cluster-9564-3 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-9567-8", + "canonical_pr_number": 9608, + "duplicate_pr_numbers": [ + 9579, + 9582, + 9583, + 9606, + 9724, + 9815 + ], + "target_issue_number": 9567, + "reason": "PRs in cluster-9567-8 are treated as duplicates because they converge on issue #9567 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-9610-3", + "canonical_pr_number": 9659, + "duplicate_pr_numbers": [ + 9843 + ], + "target_issue_number": 9610, + "reason": "PRs in cluster-9610-3 are treated as duplicates because they converge on issue #9610 with closing_reference evidence." + }, + { + "cluster_id": "cluster-9631-2", + "canonical_pr_number": 9642, + "duplicate_pr_numbers": [ + 9631 + ], + "target_issue_number": null, + "reason": "PRs in cluster-9631-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-9706-4", + "canonical_pr_number": 9715, + "duplicate_pr_numbers": [ + 9706, + 9707, + 9714 + ], + "target_issue_number": null, + "reason": "PRs in cluster-9706-4 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-9772-3", + "canonical_pr_number": 10131, + "duplicate_pr_numbers": [ + 9776 + ], + "target_issue_number": 9772, + "reason": "PRs in cluster-9772-3 are treated as duplicates because they converge on issue #9772 with closing_reference, shared_issue_target, soft_similarity evidence." + }, + { + "cluster_id": "cluster-9841-3", + "canonical_pr_number": 9879, + "duplicate_pr_numbers": [ + 9842 + ], + "target_issue_number": 9841, + "reason": "PRs in cluster-9841-3 are treated as duplicates because they converge on issue #9841 with closing_reference, shared_issue_target evidence." + } + ], + "best_issue": { + "cluster_id": "cluster-1246-21", + "issue_number": 13124, + "reason": "Issue #13124 is the strongest global issue candidate because it is open, belongs to a cluster with 21 artifacts, and carries 2 discussion comments plus 4 inbound references.", + "score": 318.0 + }, + "best_pr": { + "cluster_id": "cluster-4790-5", + "pr_number": 12964, + "reason": "PR #12964 is the strongest global PR candidate because it is open, belongs to a cluster with 5 artifacts, links to 1 issues, and carries 2 review/discussion events.", + "score": 178.916 + } +} diff --git a/snapshots/20260418T163535Z/analysis-runs/hybrid-gpt54mini-20260418t182429z/analysis-report-hybrid.llm-reviews.json b/snapshots/20260418T163535Z/analysis-runs/hybrid-gpt54mini-20260418t182429z/analysis-report-hybrid.llm-reviews.json new file mode 100644 index 0000000000000000000000000000000000000000..aa2383e984a7ae9624bd062c44ee9d378c218f2c --- /dev/null +++ b/snapshots/20260418T163535Z/analysis-runs/hybrid-gpt54mini-20260418t182429z/analysis-report-hybrid.llm-reviews.json @@ -0,0 +1,208534 @@ +{ + "schema_version": "1.0", + "repo": "huggingface/diffusers", + "snapshot_id": "20260418T163535Z", + "generated_at": "2026-04-18T19:28:04Z", + "model": "gpt-5.4-mini?service_tier=flex", + "reviews": [ + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10035", + "issue:10091", + "issue:10343", + "issue:10804", + "issue:10954", + "issue:11083", + "issue:11169", + "issue:11225", + "issue:11417", + "issue:12044", + "issue:12436", + "issue:12480", + "issue:12481", + "issue:2044", + "issue:2780", + "issue:2819", + "issue:2995", + "issue:3809", + "issue:3954", + "issue:4104", + "issue:4325", + "issue:4557", + "issue:4649", + "issue:4754", + "issue:4868", + "issue:5082", + "issue:5259", + "issue:5295", + "issue:5475", + "issue:5510", + "issue:5805", + "issue:6324", + "issue:6363", + "issue:6517", + "issue:6594", + "issue:6727", + "issue:6812", + "issue:6815", + "issue:6996", + "issue:7330", + "issue:7854", + "issue:8236", + "issue:8759", + "issue:9293", + "issue:9298", + "issue:9546", + "issue:9726", + "issue:9727" + ], + "soft_pairs": [ + "issue:12480|issue:12481", + "issue:5295|issue:5475", + "issue:10035|issue:10091", + "issue:5510|issue:7854", + "issue:3954|issue:8236", + "issue:12436|issue:12480", + "issue:12436|issue:12481", + "issue:6815|issue:8759", + "issue:5805|issue:7854", + "issue:10804|issue:10954", + "issue:4325|issue:8759", + "issue:4754|issue:5259", + "issue:6727|issue:6812", + "issue:4649|issue:6996", + "issue:11083|issue:3809", + "issue:12044|issue:6324", + "issue:10343|issue:6815", + "issue:2995|issue:5082", + "issue:2819|issue:6594", + "issue:9293|issue:9298", + "issue:4557|issue:4868", + "issue:11225|issue:9546", + "issue:9726|issue:9727", + "issue:6363|issue:7330", + "issue:2780|issue:6363", + "issue:4104|issue:6815", + "issue:11169|issue:6517", + "issue:11417|issue:2044" + ], + "prepared_review_unit_hash": "0133da4827865cc18ff504a8d40a95b1bf43e4a1d70288f3555e8f0c674ee8d9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 36481, + "estimated_input_tokens": 9121, + "estimated_eval_tokens": 18498 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The strongest duplicate clusters are the exact-title or near-exact error repeats, especially the CLIPTextModel/offload_state_dict reports. I kept broader symptom matches conservative when the titles point to different model or pipeline contexts and the packet lacks body text or traces to prove a shared root cause.", + "confidence": 0.76, + "canonical_issue_reason": "issue:12480 is the cleanest anchor for the offload_state_dict/CLIPTextModel cluster: it has the most complete wording, and 12481 plus 12436 are very close variants of the same report.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12480 is the best overall issue anchor because it is the clearest, most detailed representative of the strongest duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12480", + "right": "issue:12481", + "accept": true, + "reason": "Near-identical titles and the same CLIPTextModel/offload_state_dict TypeError; same bug." + }, + { + "left": "issue:5295", + "right": "issue:5475", + "accept": true, + "reason": "Same LaVie/LaVIE project title with only capitalization variation; duplicate report." + }, + { + "left": "issue:10035", + "right": "issue:10091", + "accept": true, + "reason": "Exact same CogvideoX VAE decoder memory issue title; duplicate." + }, + { + "left": "issue:5510", + "right": "issue:7854", + "accept": false, + "reason": "Both mention dtype mismatches, but the pipeline/context differs and the packet does not show one concrete shared code path." + }, + { + "left": "issue:3954", + "right": "issue:8236", + "accept": false, + "reason": "Same broad scheduler step-count symptom, but not enough shared evidence here to confirm the same underlying bug." + }, + { + "left": "issue:12436", + "right": "issue:12480", + "accept": true, + "reason": "Same offload_state_dict / CLIPTextModel TypeError family; clearly overlapping reports." + }, + { + "left": "issue:12436", + "right": "issue:12481", + "accept": true, + "reason": "Same offload_state_dict / CLIPTextModel TypeError family; duplicate variant." + }, + { + "left": "issue:6815", + "right": "issue:8759", + "accept": false, + "reason": "Both are black-image / invalid-cast symptom reports, but the model context differs and the packet does not prove the same root cause." + }, + { + "left": "issue:5805", + "right": "issue:7854", + "accept": false, + "reason": "Related dtype mismatch wording, but the specific failing path and context differ too much to merge them confidently." + }, + { + "left": "issue:10804", + "right": "issue:10954", + "accept": true, + "reason": "Same FLUX1.dev LoRA load-failure report, just reworded." + }, + { + "left": "issue:4325", + "right": "issue:8759", + "accept": false, + "reason": "The error text is similar, but this is still only a broad black-image symptom match across different model contexts." + }, + { + "left": "issue:4754", + "right": "issue:5259", + "accept": true, + "reason": "Same missing model_index.json / textual inversion loading error; duplicate." + }, + { + "left": "issue:6727", + "right": "issue:6812", + "accept": true, + "reason": "Same Query/Key/Value dtype mismatch during LoRA training; same bug family." + }, + { + "left": "issue:4649", + "right": "issue:6996", + "accept": true, + "reason": "Same NoneType / added_cond_kwargs text_embeds error; duplicate." + }, + { + "left": "issue:11083", + "right": "issue:3809", + "accept": true, + "reason": "Same torch-DDP stride mismatch warning; near-exact duplicate wording." + }, + { + "left": "issue:12044", + "right": "issue:6324", + "accept": true, + "reason": "Exact same AttributeError about bool.__module__; duplicate." + }, + { + "left": "issue:10343", + "right": "issue:6815", + "accept": false, + "reason": "Both mention black output / invalid-cast symptoms, but they are model-specific reports and not clearly the same bug." + }, + { + "left": "issue:2995", + "right": "issue:5082", + "accept": true, + "reason": "Same mat1/mat2 shape-mismatch error; duplicate." + }, + { + "left": "issue:2819", + "right": "issue:6594", + "accept": false, + "reason": "Both are raw.githubusercontent.com download failures, but the target files and underlying cause are not shown to be the same." + }, + { + "left": "issue:9293", + "right": "issue:9298", + "accept": true, + "reason": "Exact same Float8_e4m3fnStorage lookup failure; duplicate." + }, + { + "left": "issue:4557", + "right": "issue:4868", + "accept": true, + "reason": "Same super object __getattr__ AttributeError; duplicate." + }, + { + "left": "issue:11225", + "right": "issue:9546", + "accept": false, + "reason": "Both are validation-step OOM reports, but they are model-family-specific and only symptom-level similar here." + }, + { + "left": "issue:9726", + "right": "issue:9727", + "accept": false, + "reason": "Related FLUX.1-dev multi-GPU reports, but one is a training problem and the other a save problem; not the same bug." + }, + { + "left": "issue:6363", + "right": "issue:7330", + "accept": true, + "reason": "Same Attempting to unscale FP16 gradients error in the LoRA training script family; duplicate." + }, + { + "left": "issue:2780", + "right": "issue:6363", + "accept": true, + "reason": "Same FP16 unscale failure in text-to-image LoRA training; duplicate." + }, + { + "left": "issue:4104", + "right": "issue:6815", + "accept": false, + "reason": "Same broad black-image/invalid-cast symptom, but not enough evidence of one shared root cause across the different reports." + }, + { + "left": "issue:11169", + "right": "issue:6517", + "accept": false, + "reason": "Both are import failures, but the reported errors differ and do not indicate the same bug." + }, + { + "left": "issue:11417", + "right": "issue:2044", + "accept": true, + "reason": "Exact same DistributedDataParallel has no dtype AttributeError; duplicate." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The canonical choice is reasonably grounded, and several exact-title or near-exact duplicate pairs are fine. However, the soft-edge section is too assertive in a few places given the packet only provides titles/body sizes, not body text or code traces. In particular, pairs like issue:11225 vs issue:9546, issue:6815 vs issue:8759, issue:10343 vs issue:6815, and issue:3954 vs issue:8236 read like symptom-level similarity rather than clearly the same bug. For this task, those should stay conservative unless the packet shows stronger shared evidence. The summary should also avoid implying direct proof of sameness for broad symptom matches when the model/pipeline context differs." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 2, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10520", + "issue:10575", + "issue:10650", + "issue:10673", + "issue:10958", + "issue:11413", + "issue:11436", + "issue:12009", + "issue:12104", + "issue:12559", + "issue:1433", + "issue:1875", + "issue:2500", + "issue:2780", + "issue:3489", + "issue:5110", + "issue:5510", + "issue:5607", + "issue:5749", + "issue:5805", + "issue:5897", + "issue:6086", + "issue:6363", + "issue:6368", + "issue:6445", + "issue:6517", + "issue:6570", + "issue:6821", + "issue:6832", + "issue:6879", + "issue:7261", + "issue:7286", + "issue:7330", + "issue:736", + "issue:7681", + "issue:7708", + "issue:7854", + "issue:7891", + "issue:7935", + "issue:7978", + "issue:8465", + "issue:8581", + "issue:8833", + "issue:8863", + "issue:9362", + "issue:9448", + "issue:9476" + ], + "soft_pairs": [ + "issue:6517|issue:7681", + "issue:5749|issue:9362", + "issue:12559|issue:7978", + "issue:5607|issue:6570", + "issue:7935|issue:8833", + "issue:12104|issue:9362", + "issue:1875|issue:5510", + "issue:10650|issue:10673", + "issue:7854|issue:9476", + "issue:11413|issue:6517", + "issue:7708|issue:7935", + "issue:5110|issue:736", + "issue:5897|issue:7891", + "issue:6086|issue:6363", + "issue:7261|issue:7286", + "issue:1875|issue:7854", + "issue:11436|issue:6879", + "issue:10958|issue:12009", + "issue:10958|issue:2500", + "issue:8863|issue:9448", + "issue:1875|issue:5805", + "issue:6445|issue:6821", + "issue:2780|issue:7330", + "issue:6832|issue:8863", + "issue:7935|issue:8465", + "issue:10520|issue:7891", + "issue:6368|issue:8581", + "issue:10575|issue:5749", + "issue:1433|issue:3489" + ], + "prepared_review_unit_hash": "85ad060b999b6dfe4d5e443055781096e05483f557cb1d6f1af4713b8d076769", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 29, + "serialized_chars": 36851, + "estimated_input_tokens": 9213, + "estimated_eval_tokens": 18682 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster still breaks into a few well-supported duplicate subgroups, especially the LoRA FP16 unscale reports and a handful of exact-message matches. However, several tuple.shape links are too weakly grounded to treat as confirmed duplicates, so I\u2019d keep the triage conservative and not collapse the broader cluster too aggressively.", + "confidence": 0.69, + "canonical_issue_reason": "Issue 6086 is the strongest canonical anchor for the accepted duplicate subgroup: it has the richest discussion, a clear repro, and matches the same FP16-gradient unscale failure seen in 6363 and 7330.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6086 is the best overall issue to anchor the confirmed subgroup because it is detailed, well-scoped, and explicitly captures the shared LoRA training failure mode.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6517", + "right": "issue:7681", + "accept": false, + "reason": "Both are import-time failures, but they involve different modules and different underlying causes." + }, + { + "left": "issue:5749", + "right": "issue:9362", + "accept": false, + "reason": "Both are IndexErrors, but the reported sizes differ and there is no clear shared failing code path." + }, + { + "left": "issue:12559", + "right": "issue:7978", + "accept": true, + "reason": "Same concrete torchvision::nms missing-operator failure; the later report is just a more specific instance of the same bug." + }, + { + "left": "issue:5607", + "right": "issue:6570", + "accept": true, + "reason": "Both report the same tensor-size mismatch in the StableDiffusionXLInstructPix2Pix pipeline family." + }, + { + "left": "issue:7935", + "right": "issue:8833", + "accept": false, + "reason": "Both mention missing config.json, but they point to different models and loader contexts." + }, + { + "left": "issue:12104", + "right": "issue:9362", + "accept": false, + "reason": "Same broad IndexError wording, but the tensor sizes and failure context are clearly different." + }, + { + "left": "issue:1875", + "right": "issue:5510", + "accept": false, + "reason": "Both are dtype mismatch errors, but the pipeline context and concrete failure mode are not the same." + }, + { + "left": "issue:10650", + "right": "issue:10673", + "accept": false, + "reason": "The shape text matches, but the pipelines/models differ enough that this is not clearly the same underlying bug." + }, + { + "left": "issue:7854", + "right": "issue:9476", + "accept": false, + "reason": "Both are dtype mismatch reports, but they arise in different training/validation contexts and are too generic to merge." + }, + { + "left": "issue:11413", + "right": "issue:6517", + "accept": false, + "reason": "Both are import failures, but the traceback targets different pipelines and does not indicate a shared root cause." + }, + { + "left": "issue:7708", + "right": "issue:7935", + "accept": false, + "reason": "Both involve missing config.json, but the model/path context differs and the evidence is too weak for duplication." + }, + { + "left": "issue:5110", + "right": "issue:736", + "accept": true, + "reason": "Same HFValidationError about invalid repo IDs; the second report is the same validation bug in another form." + }, + { + "left": "issue:5897", + "right": "issue:7891", + "accept": false, + "reason": "The device-mismatch wording is similar, but the reports are too context-poor to prove the same concrete bug." + }, + { + "left": "issue:6086", + "right": "issue:6363", + "accept": true, + "reason": "Same exact FP16 unscale failure in the LoRA text-to-image training script family." + }, + { + "left": "issue:7261", + "right": "issue:7286", + "accept": true, + "reason": "Both are unsuccessful cross-attention weight loading reports for Custom Diffusion, with the second adding a pipeline variant." + }, + { + "left": "issue:1875", + "right": "issue:7854", + "accept": false, + "reason": "Both are half/float mismatch reports, but the surrounding pipelines differ and the bug is not concretely the same." + }, + { + "left": "issue:11436", + "right": "issue:6879", + "accept": false, + "reason": "Both are mat1/mat2 dtype mismatch errors, but one is half vs bfloat16 and the other is half vs float." + }, + { + "left": "issue:10958", + "right": "issue:12009", + "accept": false, + "reason": "Both mention meta-tensor loading problems, but the model format and loader path differ enough to keep them separate." + }, + { + "left": "issue:10958", + "right": "issue:2500", + "accept": false, + "reason": "Same meta-tensor symptom, but one is a specific pipeline loader report and the other is test failures; too broad to merge." + }, + { + "left": "issue:8863", + "right": "issue:9448", + "accept": false, + "reason": "The tuple.shape symptom is similar, but the evidence is only a generic exception string plus a broad pipeline family, so this is not confirmed duplicate-level evidence." + }, + { + "left": "issue:1875", + "right": "issue:5805", + "accept": false, + "reason": "Both are dtype-related, but the titles do not show the same concrete failure path." + }, + { + "left": "issue:6445", + "right": "issue:6821", + "accept": false, + "reason": "Both are caption_column validation issues, but the accepted values and dataset-schema contexts differ." + }, + { + "left": "issue:2780", + "right": "issue:7330", + "accept": true, + "reason": "Same exact Attempting to unscale FP16 gradients failure in the LoRA text-to-image training script family." + }, + { + "left": "issue:6832", + "right": "issue:8863", + "accept": false, + "reason": "This is only supported by a generic tuple.shape exception and broad pipeline-family similarity, which is not enough to confirm a duplicate." + }, + { + "left": "issue:7935", + "right": "issue:8465", + "accept": false, + "reason": "Both mention missing config.json, but they involve different pipelines and model-loading paths." + }, + { + "left": "issue:10520", + "right": "issue:7891", + "accept": false, + "reason": "Same device-mismatch wording, but the reports are too vague to prove the same code path." + }, + { + "left": "issue:6368", + "right": "issue:8581", + "accept": false, + "reason": "Both are unsupported-lora-layer errors, but they reference different layers and are not the same concrete bug." + }, + { + "left": "issue:10575", + "right": "issue:5749", + "accept": false, + "reason": "Both are index-out-of-bounds errors, but the dimensions and sizes differ and there is no clear shared failure path." + }, + { + "left": "issue:1433", + "right": "issue:3489", + "accept": true, + "reason": "Same OnnxRuntimeModel has no attribute config error; the second is a pipeline-specific duplicate of the first." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is mostly grounded, but a few soft-edge accepts are too strong for the evidence in the packet. In particular, the tuple.shape links (issue:6832 \u2194 issue:8863 and issue:8863 \u2194 issue:9448) are only supported by a generic exception string plus a broad pipeline family, so treating them as confirmed duplicates overstates the packet. The LoRA FP16-unscale subgroup and the exact-message pairs (e.g. HFValidationError, torchvision::nms, OnnxRuntimeModel.config) are better supported. Because the output accepts some weakly grounded merges, I\u2019d reject for precision." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 3, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10520", + "issue:10722", + "issue:10896", + "issue:10897", + "issue:10952", + "issue:11436", + "issue:12436", + "issue:13261", + "issue:13311", + "issue:3357", + "issue:3651", + "issue:4410", + "issue:4752", + "issue:4932", + "issue:4933", + "issue:5022", + "issue:5025", + "issue:5399", + "issue:5510", + "issue:5603", + "issue:5661", + "issue:6124", + "issue:6278", + "issue:6363", + "issue:6482", + "issue:7003", + "issue:7330", + "issue:7708", + "issue:7978", + "issue:8518", + "issue:859", + "issue:8833", + "issue:9063", + "issue:9109", + "issue:9291", + "issue:9292", + "issue:9443", + "issue:9448", + "issue:9602", + "issue:9628", + "issue:9726", + "issue:9727", + "issue:9790", + "issue:9799", + "issue:9895", + "issue:9901", + "issue:9973" + ], + "soft_pairs": [ + "issue:10896|issue:10897", + "issue:9063|issue:9443", + "issue:4932|issue:4933", + "issue:3651|issue:6278", + "issue:9291|issue:9292", + "issue:5022|issue:5661", + "issue:10722|issue:9799", + "issue:9727|issue:9790", + "issue:6363|issue:6482", + "issue:10952|issue:9602", + "issue:9726|issue:9790", + "issue:3357|issue:8518", + "issue:7330|issue:9628", + "issue:6124|issue:7330", + "issue:9628|issue:9973", + "issue:9448|issue:9901", + "issue:7708|issue:8833", + "issue:10520|issue:9895", + "issue:13261|issue:13311", + "issue:11436|issue:5399", + "issue:7978|issue:9109", + "issue:5025|issue:5603", + "issue:12436|issue:859", + "issue:4752|issue:5510", + "issue:4410|issue:7003" + ], + "prepared_review_unit_hash": "607f7cefb8a8b1a8a7a41bf1917a6d6b32b91415c039c9b64fcb91cb7e765f87", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34728, + "estimated_input_tokens": 8682, + "estimated_eval_tokens": 17620 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is heterogeneous overall, but many pairs are clear duplicate issues around the same error or request. I accepted only pairs that appear to describe the same underlying bug/feature and rejected pairs that merely share a subsystem or broad error class.", + "confidence": 0.89, + "canonical_issue_reason": "No single canonical issue covers the full set because the items split into many unrelated subclusters. The cleanest duplicate anchor is issue 10897, which is an exact same-title match to 10896 and remains open.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10897 is the best issue to keep as the canonical representative for its subcluster: it is an exact duplicate of 10896, has the same request text, and is open.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10896", + "right": "issue:10897", + "accept": true, + "reason": "Exact same title and same feature request; these are duplicates." + }, + { + "left": "issue:9063", + "right": "issue:9443", + "accept": false, + "reason": "Same error string, but different pipelines/models; likely separate tokenizer-loading cases." + }, + { + "left": "issue:4932", + "right": "issue:4933", + "accept": true, + "reason": "Same DreamBooth output complaint with near-identical wording; duplicate reports." + }, + { + "left": "issue:3651", + "right": "issue:6278", + "accept": false, + "reason": "Both mention multi-GPU, but they affect different training scripts and likely different failure points." + }, + { + "left": "issue:9291", + "right": "issue:9292", + "accept": true, + "reason": "Both report FLUX LoRA key incompatibility with diffusers loaders; same underlying compatibility bug." + }, + { + "left": "issue:5022", + "right": "issue:5661", + "accept": true, + "reason": "Both are the same missing PreTrainedTokenizer import/name error in diffusers." + }, + { + "left": "issue:10722", + "right": "issue:9799", + "accept": false, + "reason": "Both are tensor-size mismatches, but the actual dimensions and training contexts differ." + }, + { + "left": "issue:9727", + "right": "issue:9790", + "accept": false, + "reason": "One is a save problem and the other is a training problem; not clearly the same bug." + }, + { + "left": "issue:6363", + "right": "issue:6482", + "accept": true, + "reason": "Same FP16 unscale error in closely related DreamBooth/LoRA training paths." + }, + { + "left": "issue:10952", + "right": "issue:9602", + "accept": true, + "reason": "Both are adapter-name lookup failures during LoRA loading; same adapter handling issue." + }, + { + "left": "issue:9726", + "right": "issue:9790", + "accept": true, + "reason": "Same FLUX.1-dev DreamBooth multigpu training failure theme and likely same code path." + }, + { + "left": "issue:3357", + "right": "issue:8518", + "accept": false, + "reason": "Both are torch.compile errors, but they are different unsupported operations and different stack paths." + }, + { + "left": "issue:7330", + "right": "issue:9628", + "accept": true, + "reason": "Same \"Attempting to unscale FP16 gradients\" training failure across related scripts." + }, + { + "left": "issue:6124", + "right": "issue:7330", + "accept": true, + "reason": "Same FP16 gradient unscale error in DreamBooth/LoRA training flows." + }, + { + "left": "issue:9628", + "right": "issue:9973", + "accept": true, + "reason": "Both report the same FP16 unscale failure in DreamBooth LoRA SD3 training." + }, + { + "left": "issue:9448", + "right": "issue:9901", + "accept": true, + "reason": "Both describe the same tuple-vs-shape attention/processor bug path." + }, + { + "left": "issue:7708", + "right": "issue:8833", + "accept": false, + "reason": "Both are missing-file model loading errors, but they concern different repos and different missing files." + }, + { + "left": "issue:10520", + "right": "issue:9895", + "accept": false, + "reason": "Same device-mismatch symptom, but different models and no evidence they share the same fix." + }, + { + "left": "issue:13261", + "right": "issue:13311", + "accept": true, + "reason": "Both are FLUX.2-klein-9B LoRA compatibility failures in the same transformer/LoRA loading path." + }, + { + "left": "issue:11436", + "right": "issue:5399", + "accept": false, + "reason": "Both are dtype mismatches, but they involve different pipelines and are too generic to merge confidently." + }, + { + "left": "issue:7978", + "right": "issue:9109", + "accept": true, + "reason": "Exact same torchvision::nms missing-operator error." + }, + { + "left": "issue:5025", + "right": "issue:5603", + "accept": false, + "reason": "Both are import errors from diffusers.utils, but they are different missing symbols and likely separate breakages." + }, + { + "left": "issue:12436", + "right": "issue:859", + "accept": false, + "reason": "Both are unexpected-argument constructor errors, but for different classes and different arguments." + }, + { + "left": "issue:4752", + "right": "issue:5510", + "accept": false, + "reason": "Both are dtype mismatches in SDXL-family pipelines, but the concrete pipelines and fixes are different." + }, + { + "left": "issue:4410", + "right": "issue:7003", + "accept": false, + "reason": "Both involve weight-shape mismatches, but they are different in/out channel expectations and different loading scenarios." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The canonical anchor choice is supported by the identical SkyReels-A1 titles and open state on 10897, and the accepted soft-edge pairs all have reasonably close title/body alignment rather than just broad subsystem similarity. The rejected pairs are also appropriately cautious. No clear overstatement of evidence stood out." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 4, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10154", + "issue:10343", + "issue:10467", + "issue:10928", + "issue:11218", + "issue:11410", + "issue:11417", + "issue:11702", + "issue:11709", + "issue:11849", + "issue:11865", + "issue:11901", + "issue:12104", + "issue:12174", + "issue:12778", + "issue:13261", + "issue:13350", + "issue:1925", + "issue:1931", + "issue:1946", + "issue:1976", + "issue:2100", + "issue:2947", + "issue:3325", + "issue:3481", + "issue:3829", + "issue:4265", + "issue:4752", + "issue:4868", + "issue:5259", + "issue:5510", + "issue:5805", + "issue:6139", + "issue:6363", + "issue:6821", + "issue:6914", + "issue:7049", + "issue:720", + "issue:7210", + "issue:7708", + "issue:7851", + "issue:7854", + "issue:8759", + "issue:8975", + "issue:9210", + "issue:9628", + "issue:9690", + "issue:9901" + ], + "soft_pairs": [ + "issue:10154|issue:7210", + "issue:1931|issue:720", + "issue:4752|issue:7854", + "issue:11417|issue:12778", + "issue:1946|issue:3325", + "issue:6363|issue:9628", + "issue:6914|issue:9901", + "issue:13261|issue:13350", + "issue:1925|issue:1931", + "issue:2947|issue:6139", + "issue:10928|issue:5259", + "issue:10343|issue:8759", + "issue:5510|issue:5805", + "issue:4752|issue:5805", + "issue:12104|issue:7851", + "issue:10467|issue:9690", + "issue:6821|issue:9210", + "issue:12174|issue:4868", + "issue:3481|issue:3829", + "issue:11417|issue:11865", + "issue:11218|issue:8975", + "issue:11702|issue:11709", + "issue:1976|issue:7708", + "issue:2100|issue:4265", + "issue:11410|issue:7049", + "issue:11849|issue:11901" + ], + "prepared_review_unit_hash": "73578b402a4ad4b2104ce6c628216c4a575d394ab066dcd47fccc3a7c973f6e2", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 35606, + "estimated_input_tokens": 8902, + "estimated_eval_tokens": 18060 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not one tight duplicate cluster; it contains several separate bug families. Clear duplicate-like pairs mostly involve repeated dtype-mismatch errors, repeated missing-file/import lookups, repeated attribute errors, and repeated LoRA key-loading failures. Several other soft pairs are only broadly similar and should stay separate.", + "confidence": 0.84, + "canonical_issue_reason": "No single canonical issue covers the whole set; the items split into multiple unrelated bug families. If one representative must be chosen, issue 1931 best captures the recurring half-precision dtype-mismatch subgroup.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1931 is the strongest overall representative because it is a clear, recurring half-precision/float dtype-mismatch report and aligns with other near-duplicate reports in that subgroup.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10154", + "right": "issue:7210", + "accept": false, + "reason": "Both are AttributeError reports, but they hit different APIs and code paths: load_lora_weights vs accelerate.load_checkpoint_and_dispatch. Not the same bug." + }, + { + "left": "issue:1931", + "right": "issue:720", + "accept": true, + "reason": "Same underlying float16/Half vs Float mismatch during Stable Diffusion inference; the symptom and fix path are effectively the same." + }, + { + "left": "issue:4752", + "right": "issue:7854", + "accept": true, + "reason": "These are the same input/bias dtype mismatch error in SDXL code, with nearly identical wording and likely the same fix." + }, + { + "left": "issue:11417", + "right": "issue:12778", + "accept": false, + "reason": "Both are missing-attribute errors, but on different objects and different failures. Too little evidence of one concrete shared bug." + }, + { + "left": "issue:1946", + "right": "issue:3325", + "accept": false, + "reason": "Both mention CUDA invalid argument, but one is xformers-related and the other is train_dreambooth.py. Same broad symptom, not the same bug." + }, + { + "left": "issue:6363", + "right": "issue:9628", + "accept": false, + "reason": "Same error text, but different training scripts and model setups. Insufficient evidence that one code-path fix would address both." + }, + { + "left": "issue:6914", + "right": "issue:9901", + "accept": false, + "reason": "Both are tuple/shape-related AttributeErrors, but they occur in different contexts (IP-Adapter/cpu offload vs AttnProcessor) and do not clearly share one root cause." + }, + { + "left": "issue:13261", + "right": "issue:13350", + "accept": false, + "reason": "One is a LoRA/lokr loading failure; the other is a batch inference usage question. Not the same underlying bug." + }, + { + "left": "issue:1925", + "right": "issue:1931", + "accept": true, + "reason": "Both describe the same half-precision/float mismatch class of bug in Stable Diffusion inference." + }, + { + "left": "issue:2947", + "right": "issue:6139", + "accept": false, + "reason": "These are different missing attributes on UNet2DConditionModel, so they are not the same concrete defect." + }, + { + "left": "issue:10928", + "right": "issue:5259", + "accept": false, + "reason": "Different missing-file errors: fp16 weight file vs model_index.json. Separate problems." + }, + { + "left": "issue:10343", + "right": "issue:8759", + "accept": true, + "reason": "Same invalid-cast warning in image postprocessing leading to black images; the symptom and code area match closely." + }, + { + "left": "issue:5510", + "right": "issue:5805", + "accept": false, + "reason": "Both are dtype mismatch errors, but they occur in different pipelines/platforms and the exact failure context differs too much to merge confidently." + }, + { + "left": "issue:4752", + "right": "issue:5805", + "accept": false, + "reason": "Same broad dtype mismatch theme, but one is an SDXL pipeline bug and the other is an XLA-specific issue with opposite type ordering. Not a clean duplicate." + }, + { + "left": "issue:12104", + "right": "issue:7851", + "accept": false, + "reason": "Both are index-out-of-bounds errors, but one is size 0 and the other is a concurrency-related size 11 case. Different bugs." + }, + { + "left": "issue:10467", + "right": "issue:9690", + "accept": false, + "reason": "One is about a generated temp filename in FP8 example output; the other is a cleanup request. Not the same issue." + }, + { + "left": "issue:6821", + "right": "issue:9210", + "accept": false, + "reason": "These are opposite dataset-column validation errors (caption_column vs image_column) and do not indicate the same defect." + }, + { + "left": "issue:12174", + "right": "issue:4868", + "accept": true, + "reason": "Same AttributeError on __getattr__ with the same underlying failure signature." + }, + { + "left": "issue:3481", + "right": "issue:3829", + "accept": false, + "reason": "Both discuss image differences across inference settings, but they involve different schedulers/pipelines and are too broad to treat as one bug." + }, + { + "left": "issue:11417", + "right": "issue:11865", + "accept": false, + "reason": "Completely different attribute errors on different objects; no shared code-path is apparent." + }, + { + "left": "issue:11218", + "right": "issue:8975", + "accept": false, + "reason": "Both are import errors from diffusers.loaders, but they concern different symbols and likely different missing exports." + }, + { + "left": "issue:11702", + "right": "issue:11709", + "accept": true, + "reason": "Both are LoRA key-loading failures in diffusers for closely related video-model use cases; a single loader fix could plausibly address both." + }, + { + "left": "issue:1976", + "right": "issue:7708", + "accept": true, + "reason": "Same incorrect tokenizer/config.json file lookup against a model repo that does not provide it." + }, + { + "left": "issue:2100", + "right": "issue:4265", + "accept": false, + "reason": "Different missing imports for different pipelines/classes; same category, but not the same concrete bug." + }, + { + "left": "issue:11410", + "right": "issue:7049", + "accept": true, + "reason": "Exact same too-many-values-to-unpack error in the attention/IP-adapter code path." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The accepted soft-edge pairs are mostly supported by near-identical error signatures/titles, and the rejected pairs avoid overclaiming when only broad symptom overlap is present. No clear overstatement stands out." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 5, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10154", + "issue:10472", + "issue:11218", + "issue:12174", + "issue:12436", + "issue:12480", + "issue:12481", + "issue:12482", + "issue:12719", + "issue:12722", + "issue:12895", + "issue:1709", + "issue:2044", + "issue:2402", + "issue:246", + "issue:2696", + "issue:3816", + "issue:4104", + "issue:4198", + "issue:4325", + "issue:4456", + "issue:4478", + "issue:4557", + "issue:4619", + "issue:4752", + "issue:5171", + "issue:5399", + "issue:5510", + "issue:5518", + "issue:5596", + "issue:5805", + "issue:6444", + "issue:6734", + "issue:6832", + "issue:6858", + "issue:6879", + "issue:7506", + "issue:7516", + "issue:7572", + "issue:7854", + "issue:7922", + "issue:8463", + "issue:8556", + "issue:8578", + "issue:9112", + "issue:9448", + "issue:9645", + "issue:9799" + ], + "soft_pairs": [ + "issue:2402|issue:2696", + "issue:12174|issue:4557", + "issue:246|issue:3816", + "issue:4619|issue:7854", + "issue:1709|issue:2044", + "issue:4198|issue:5399", + "issue:5399|issue:6879", + "issue:4104|issue:4325", + "issue:9112|issue:9799", + "issue:4619|issue:5510", + "issue:6734|issue:8463", + "issue:7516|issue:7922", + "issue:11218|issue:9645", + "issue:8556|issue:8578", + "issue:7506|issue:8578", + "issue:4456|issue:5518", + "issue:5596|issue:6858", + "issue:4478|issue:5805", + "issue:4752|issue:7572", + "issue:12895|issue:8463", + "issue:10472|issue:12436", + "issue:10154|issue:6444", + "issue:12436|issue:5171", + "issue:6832|issue:9448", + "issue:12719|issue:12722", + "issue:12481|issue:12482", + "issue:12480|issue:12482" + ], + "prepared_review_unit_hash": "69f6c3b012e089969579c58875f2c9d8070b05eafba8e2ed3f84f646c5061c15", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 36285, + "estimated_input_tokens": 9072, + "estimated_eval_tokens": 18400 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly heterogeneous, but there are a few clear duplicate mini-clusters: CUDA-not-enabled, super.__getattr__, black-image/cast warning, NoneType.tokenize, meta-tensor copy, dtype mismatch in SDXL, and the offload_state_dict CLIPTextModel reports. The strongest duplicate group is the offload_state_dict trio.", + "confidence": 0.82, + "canonical_issue_reason": "issue:12482 has the cleanest, most direct title for the CLIPTextModel offload_state_dict bug, while 12480/12481 are near-identical noisy variants of the same report.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12482 is the best representative issue in this set because it captures the core error succinctly and sits in the tightest duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2402", + "right": "issue:2696", + "accept": true, + "reason": "Same underlying runtime failure: Torch was built without CUDA support." + }, + { + "left": "issue:12174", + "right": "issue:4557", + "accept": true, + "reason": "Exact same AttributeError on super.__getattr__; clearly the same bug report." + }, + { + "left": "issue:246", + "right": "issue:3816", + "accept": false, + "reason": "Both are missing-transformers-symbol errors, but they involve different attributes and likely different breakages." + }, + { + "left": "issue:4619", + "right": "issue:7854", + "accept": true, + "reason": "Same concrete dtype mismatch error in the diffusion model path; likely duplicate reports of the same bug." + }, + { + "left": "issue:1709", + "right": "issue:2044", + "accept": false, + "reason": "Different AttributeErrors in different code paths; only superficially similar." + }, + { + "left": "issue:4198", + "right": "issue:5399", + "accept": false, + "reason": "Both mention mat1/mat2 dtype issues, but the described scenarios and code paths are too different to treat as one bug." + }, + { + "left": "issue:5399", + "right": "issue:6879", + "accept": false, + "reason": "Same broad dtype-mismatch theme, but different scenarios and no evidence of the same concrete defect." + }, + { + "left": "issue:4104", + "right": "issue:4325", + "accept": true, + "reason": "Black-image output with invalid-value-encountered-in-cast is the same failure mode." + }, + { + "left": "issue:9112", + "right": "issue:9799", + "accept": false, + "reason": "Both are tensor-size mismatch errors, but the shapes differ substantially and suggest different underlying bugs." + }, + { + "left": "issue:4619", + "right": "issue:5510", + "accept": false, + "reason": "Same class of dtype mismatch, but different pipelines/code paths and not enough evidence of one shared bug." + }, + { + "left": "issue:6734", + "right": "issue:8463", + "accept": true, + "reason": "Same NoneType.tokenize failure in the InstructP2P/SDXL path; this looks like the same bug." + }, + { + "left": "issue:7516", + "right": "issue:7922", + "accept": false, + "reason": "Both are missing diffusers attributes, but they concern different pipelines and likely different version-gated symbols." + }, + { + "left": "issue:11218", + "right": "issue:9645", + "accept": false, + "reason": "Both are import failures from diffusers.loaders, but the missing mixins are different and not clearly the same defect." + }, + { + "left": "issue:8556", + "right": "issue:8578", + "accept": true, + "reason": "Same meta-tensor copy failure during model loading; the model names differ, but the code-path problem is the same." + }, + { + "left": "issue:7506", + "right": "issue:8578", + "accept": false, + "reason": "Both mention meta tensors, but the reported loading contexts are different enough that this is not clearly the same bug." + }, + { + "left": "issue:4456", + "right": "issue:5518", + "accept": false, + "reason": "Both involve LoRA and ModuleList, but the failing attribute access differs and the underlying bugs are not clearly the same." + }, + { + "left": "issue:5596", + "right": "issue:6858", + "accept": false, + "reason": "Both are convert() type errors, but the wrong input types and training contexts differ." + }, + { + "left": "issue:4478", + "right": "issue:5805", + "accept": false, + "reason": "Same general dtype mismatch theme, but one is SDXL from_pretrained and the other is XLA LCM-SDXL; not the same concrete bug." + }, + { + "left": "issue:4752", + "right": "issue:7572", + "accept": true, + "reason": "Same exact input/bias dtype mismatch error in Stable Diffusion XL; these look like duplicate reports." + }, + { + "left": "issue:12895", + "right": "issue:8463", + "accept": false, + "reason": "Both have AttributeError wording, but the failure modes and contexts are unrelated." + }, + { + "left": "issue:12481", + "right": "issue:12482", + "accept": true, + "reason": "Near-exact duplicate offload_state_dict CLIPTextModel TypeError report." + }, + { + "left": "issue:12480", + "right": "issue:12482", + "accept": true, + "reason": "Same offload_state_dict CLIPTextModel TypeError; 12480 is just a noisier variant of 12482." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the canonical/best-issue choice for the offload_state_dict trio is well supported by the near-identical titles. The accepted soft-edge pairs are conservative enough based on the issue titles alone, and the rejected pairs avoid overclaiming where the evidence is only thematic." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 6, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10453", + "issue:10542", + "issue:10910", + "issue:11218", + "issue:11435", + "issue:12147", + "issue:12535", + "issue:12609", + "issue:12612", + "issue:12778", + "issue:12779", + "issue:13311", + "issue:13350", + "issue:1399", + "issue:2294", + "issue:2780", + "issue:3010", + "issue:3017", + "issue:3140", + "issue:4224", + "issue:4409", + "issue:4529", + "issue:4615", + "issue:4837", + "issue:4868", + "issue:5054", + "issue:539", + "issue:5737", + "issue:5992", + "issue:5998", + "issue:6079", + "issue:6082", + "issue:6098", + "issue:6124", + "issue:6324", + "issue:6363", + "issue:6442", + "issue:6454", + "issue:6482", + "issue:6832", + "issue:6914", + "issue:7210", + "issue:8182", + "issue:8975", + "issue:9237", + "issue:9548", + "issue:9970", + "issue:9973" + ], + "soft_pairs": [ + "issue:12609|issue:12612", + "issue:10453|issue:10542", + "issue:4224|issue:4409", + "issue:10910|issue:6454", + "issue:12778|issue:12779", + "issue:6363|issue:6454", + "issue:9237|issue:9548", + "issue:3010|issue:3017", + "issue:4529|issue:539", + "issue:9970|issue:9973", + "issue:11435|issue:4615", + "issue:4837|issue:5737", + "issue:10910|issue:6363", + "issue:11435|issue:8975", + "issue:2780|issue:6454", + "issue:6079|issue:6082", + "issue:2294|issue:4615", + "issue:13311|issue:13350", + "issue:6832|issue:6914", + "issue:5054|issue:7210", + "issue:3140|issue:4615", + "issue:11218|issue:4615", + "issue:6098|issue:6482", + "issue:6124|issue:6442", + "issue:1399|issue:5998", + "issue:12147|issue:12535", + "issue:4868|issue:6324", + "issue:4868|issue:8182", + "issue:5992|issue:6324" + ], + "prepared_review_unit_hash": "3956d44b6e51cf614bf31430d31769dbd7ca253143c224f3ff7755b21c5f9a25", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 35765, + "estimated_input_tokens": 8942, + "estimated_eval_tokens": 18140 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Use issue:6454 as the canonical anchor for the recurring FP16-unscale reports, but apply a strict title-only policy for soft edges. Most proposed duplicate links are too weakly evidenced and should be rejected; only the 9237/9548 pair has explicit duplicate-style evidence.", + "confidence": 0.79, + "canonical_issue_reason": "issue:6454 is the most generic FP16-unscale report in the set and is the best anchor for that recurring family.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6454 is the best single issue representative because it is the broadest, least script-specific FP16-unscale report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12609", + "right": "issue:12612", + "accept": false, + "reason": "Same broad WAN NaN wording, but the packet provides only title similarity and no concrete shared repro/root-cause evidence." + }, + { + "left": "issue:10453", + "right": "issue:10542", + "accept": false, + "reason": "Both are Hunyuan Video batch-size complaints, but the recurrence claim is only in the title and is not enough to mark a duplicate." + }, + { + "left": "issue:4224", + "right": "issue:4409", + "accept": false, + "reason": "Different missing attributes (`control_model` vs `alphas_cumprod`); related area, not the same bug." + }, + { + "left": "issue:10910", + "right": "issue:6454", + "accept": false, + "reason": "FP16-unscale title match alone is too broad; no body-level evidence that these are the same concrete failure." + }, + { + "left": "issue:12778", + "right": "issue:12779", + "accept": false, + "reason": "Different Flux2 failures in different code paths, not the same underlying issue." + }, + { + "left": "issue:6363", + "right": "issue:6454", + "accept": false, + "reason": "Both mention FP16-unscale, but the packet gives no direct evidence they are the same bug beyond the shared error text." + }, + { + "left": "issue:9237", + "right": "issue:9548", + "accept": true, + "reason": "Accept: #9548 explicitly says it is still the issue on #9237, which is direct duplicate-style evidence." + }, + { + "left": "issue:3010", + "right": "issue:3017", + "accept": false, + "reason": "Both are docs requests about multi-GPU inference, but there is no explicit link or enough evidence to treat them as the same request." + }, + { + "left": "issue:4529", + "right": "issue:539", + "accept": false, + "reason": "Unrelated keyword-argument failures in different APIs." + }, + { + "left": "issue:9970", + "right": "issue:9973", + "accept": false, + "reason": "Same general DreamBooth SDXL LoRA area, but only title similarity is available and that is not enough for a duplicate call." + }, + { + "left": "issue:11435", + "right": "issue:4615", + "accept": false, + "reason": "Different missing imports/symbols; not the same code-path failure." + }, + { + "left": "issue:4837", + "right": "issue:5737", + "accept": false, + "reason": "Both concern SDXL conversion, but the packet does not show enough shared evidence to confirm the same bug." + }, + { + "left": "issue:10910", + "right": "issue:6363", + "accept": false, + "reason": "FP16-unscale phrasing alone is insufficient to conclude the same underlying defect." + }, + { + "left": "issue:11435", + "right": "issue:8975", + "accept": false, + "reason": "Different missing import targets, so not duplicates." + }, + { + "left": "issue:2780", + "right": "issue:6454", + "accept": false, + "reason": "Specific training script report vs generic issue, but no concrete evidence they are the same failure." + }, + { + "left": "issue:6079", + "right": "issue:6082", + "accept": false, + "reason": "Very similar half/float error wording, but no body evidence that the two reports share the same root cause." + }, + { + "left": "issue:2294", + "right": "issue:4615", + "accept": false, + "reason": "Different import targets in different pipelines; too different to merge." + }, + { + "left": "issue:13311", + "right": "issue:13350", + "accept": false, + "reason": "One is about missing LoRA keys, the other about batch inference usage; not the same bug." + }, + { + "left": "issue:6832", + "right": "issue:6914", + "accept": false, + "reason": "Both are IP-Adapter-FaceID shape-related, but the packet does not provide enough shared reproduction detail to confirm a duplicate." + }, + { + "left": "issue:5054", + "right": "issue:7210", + "accept": false, + "reason": "Different attribute errors in different offload/load paths; related subsystem, not the same bug." + }, + { + "left": "issue:3140", + "right": "issue:4615", + "accept": false, + "reason": "Import-related, but the packet does not establish that these are the same concrete missing-symbol breakage." + }, + { + "left": "issue:11218", + "right": "issue:4615", + "accept": false, + "reason": "Different missing imports; not the same issue." + }, + { + "left": "issue:6098", + "right": "issue:6482", + "accept": false, + "reason": "Both mention FP16-unscale, but the resume-from-checkpoint trigger is not enough evidence to merge them." + }, + { + "left": "issue:6124", + "right": "issue:6442", + "accept": false, + "reason": "Same generic error text, but no direct evidence beyond title similarity." + }, + { + "left": "issue:1399", + "right": "issue:5998", + "accept": false, + "reason": "Both are VersatileDiffusion signature mismatches, but the differing kwargs mean the packet does not prove the same bug." + }, + { + "left": "issue:12147", + "right": "issue:12535", + "accept": false, + "reason": "Similar Wan2.2 Lightning LoRA loading complaints, but no explicit duplicate evidence and different contexts in the titles." + }, + { + "left": "issue:4868", + "right": "issue:6324", + "accept": false, + "reason": "Different attribute errors with different missing members." + }, + { + "left": "issue:4868", + "right": "issue:8182", + "accept": false, + "reason": "Completely different error messages; not duplicates." + }, + { + "left": "issue:5992", + "right": "issue:6324", + "accept": false, + "reason": "Different root causes and different failing symbols; not the same bug." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The canonical anchor around issue:6454 for the recurring FP16-unscale family is plausible, but the soft-edge handling is not conservative enough. Several verdicts are asserted as same-bug duplicates based only on title similarity, while the packet provides no direct evidence beyond that. In particular, claims like issue:10453/issue:10542 being \"clearly a recurrence,\" or multiple FP16-unscale pairs being the same bug, overstate certainty. Given the evaluator\u2019s conservative standard, this should be rejected." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 7, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10281", + "issue:10594", + "issue:10910", + "issue:11417", + "issue:11435", + "issue:11464", + "issue:1466", + "issue:1544", + "issue:1709", + "issue:1817", + "issue:1866", + "issue:1867", + "issue:2041", + "issue:2044", + "issue:2294", + "issue:2780", + "issue:384", + "issue:3973", + "issue:4186", + "issue:4478", + "issue:4529", + "issue:4615", + "issue:4724", + "issue:4868", + "issue:4969", + "issue:5025", + "issue:539", + "issue:5510", + "issue:5572", + "issue:5576", + "issue:5578", + "issue:6098", + "issue:6124", + "issue:6363", + "issue:6454", + "issue:6482", + "issue:6561", + "issue:6636", + "issue:6842", + "issue:7330", + "issue:8182", + "issue:8637", + "issue:8871", + "issue:8975", + "issue:9628", + "issue:9645", + "issue:9973" + ], + "soft_pairs": [ + "issue:3973|issue:4529", + "issue:4969|issue:8637", + "issue:10281|issue:5576", + "issue:10594|issue:11464", + "issue:1866|issue:1867", + "issue:6842|issue:8637", + "issue:4615|issue:8975", + "issue:8637|issue:9645", + "issue:10910|issue:6098", + "issue:1709|issue:4868", + "issue:11435|issue:2294", + "issue:4478|issue:5510", + "issue:1544|issue:2044", + "issue:6124|issue:9628", + "issue:6098|issue:6454", + "issue:384|issue:5572", + "issue:1466|issue:2041", + "issue:5025|issue:8637", + "issue:5578|issue:6561", + "issue:7330|issue:8871", + "issue:1817|issue:4529", + "issue:10910|issue:6482", + "issue:4969|issue:5025", + "issue:4186|issue:4724", + "issue:10910|issue:2780", + "issue:6098|issue:6363", + "issue:6124|issue:9973", + "issue:5025|issue:6636", + "issue:1817|issue:539", + "issue:11417|issue:8182", + "issue:6098|issue:6124" + ], + "prepared_review_unit_hash": "6c7c3989b5921fff2a044b0dc4e3d97b5c61abb4b24ed3fd34ff8c984ac20528", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 31, + "serialized_chars": 36268, + "estimated_input_tokens": 9067, + "estimated_eval_tokens": 18390 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a mixed issue cluster with one dominant duplicate family around \"ValueError: Attempting to unscale FP16 gradients\" in LoRA/DreamBooth training, plus a smaller img2img low-strength pair. Several other pairs are only superficially similar (same subsystem/error class) and should not be merged.", + "confidence": 0.88, + "canonical_issue_reason": "issue:6363 is the most representative FP16-unscale report: exact error title, substantial discussion, inbound references, and an explicit duplicate reference to issue:8871; it best anchors the repeated LoRA/DreamBooth training bug reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6363 has the clearest, most central description of the recurring training failure and appears to be the main hub for related reports across scripts and variants.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3973", + "right": "issue:4529", + "accept": false, + "reason": "Both are import/signature errors, but they affect different functions ('download_from_original_stable_diffusion_ckpt' vs 'load_lora_into_unet') and are not the same bug." + }, + { + "left": "issue:4969", + "right": "issue:8637", + "accept": false, + "reason": "Different missing symbols from different areas ('CrossAttention' vs 'PixArtSigmaPipeline'); same error class, not the same underlying issue." + }, + { + "left": "issue:10281", + "right": "issue:5576", + "accept": false, + "reason": "Both are scheduler feature requests, but FreeScale and FreeNoise are distinct proposals and should not be merged." + }, + { + "left": "issue:10594", + "right": "issue:11464", + "accept": false, + "reason": "Both involve FLUX controls/LoRA, but one is about multiple controls on FLUX.1-dev and the other about loading a specific FLUX Canny LoRA; too different to treat as duplicates." + }, + { + "left": "issue:1866", + "right": "issue:1867", + "accept": true, + "reason": "Both describe img2img failing at very low strength values; one names a scheduler-specific manifestation, the other generalizes the same low-strength pipeline bug." + }, + { + "left": "issue:6842", + "right": "issue:8637", + "accept": false, + "reason": "Both are import errors, but for different pipelines ('Prompt2PromptPipeline' vs 'PixArtSigmaPipeline'); not the same change or bug." + }, + { + "left": "issue:4615", + "right": "issue:8975", + "accept": false, + "reason": "These are separate missing-import reports for different loader/pipeline classes and do not share the same code-path failure." + }, + { + "left": "issue:8637", + "right": "issue:9645", + "accept": false, + "reason": "Different missing imports from different modules; they are not the same underlying issue." + }, + { + "left": "issue:10910", + "right": "issue:6098", + "accept": true, + "reason": "Same exact FP16-unscale training error; these are duplicate reports of the same bug." + }, + { + "left": "issue:1709", + "right": "issue:4868", + "accept": false, + "reason": "Both are AttributeErrors, but in different pipelines and with unrelated missing attributes ('astype' vs '__getattr__')." + }, + { + "left": "issue:11435", + "right": "issue:2294", + "accept": false, + "reason": "Both are import errors, but for different pipeline names and unrelated missing symbols." + }, + { + "left": "issue:4478", + "right": "issue:5510", + "accept": true, + "reason": "Both report the same SDXL dtype mismatch error ('Input type and bias type should be the same') across closely related pipelines, so they likely share the same fix." + }, + { + "left": "issue:1544", + "right": "issue:2044", + "accept": false, + "reason": "Different training/runtime failures: missing 'get_velocity' on the scheduler vs DDP wrapper missing 'dtype'." + }, + { + "left": "issue:6124", + "right": "issue:9628", + "accept": true, + "reason": "Same FP16-unscale error in DreamBooth/LoRA training variants; these are the same underlying bug." + }, + { + "left": "issue:6098", + "right": "issue:6454", + "accept": true, + "reason": "Exact same error message and training failure; clear duplicate." + }, + { + "left": "issue:384", + "right": "issue:5572", + "accept": false, + "reason": "Both involve missing VAE-related attributes, but the missing fields and contexts differ enough that they are not the same bug." + }, + { + "left": "issue:1466", + "right": "issue:2041", + "accept": true, + "reason": "Both report the Dreambooth example being incompatible with Windows/Mac; the later issue is a narrower version of the same cross-platform problem." + }, + { + "left": "issue:5025", + "right": "issue:8637", + "accept": false, + "reason": "Different missing imports ('randn_tensor' vs 'PixArtSigmaPipeline'); same import-error family, not duplicate." + }, + { + "left": "issue:5578", + "right": "issue:6561", + "accept": false, + "reason": "Both are model-loading OSErrors, but they point to different missing files in different models, so they are not the same issue." + }, + { + "left": "issue:7330", + "right": "issue:8871", + "accept": true, + "reason": "Same FP16-unscale failure in LoRA training; one is a specific example script, the other a broader follow-up." + }, + { + "left": "issue:1817", + "right": "issue:4529", + "accept": false, + "reason": "Unrelated API-signature issues in different utilities/mixins; not the same underlying change." + }, + { + "left": "issue:10910", + "right": "issue:6482", + "accept": true, + "reason": "Same FP16-unscale bug, with 6482 being a DreamBooth LoRA SDXL variant of the same training failure." + }, + { + "left": "issue:4969", + "right": "issue:5025", + "accept": false, + "reason": "Both are import problems, but they concern different symbols and unrelated code paths." + }, + { + "left": "issue:4186", + "right": "issue:4724", + "accept": false, + "reason": "Both are SDXL pipeline behavior reports, but one is about inpaint+refiner and the other about img2img with a base checkpoint; too different to merge." + }, + { + "left": "issue:10910", + "right": "issue:2780", + "accept": true, + "reason": "Same FP16-unscale training bug; 2780 is just another script-specific report." + }, + { + "left": "issue:6098", + "right": "issue:6363", + "accept": true, + "reason": "Same recurring FP16-unscale error; 6363 is essentially the same bug in a more specific script context." + }, + { + "left": "issue:6124", + "right": "issue:9973", + "accept": true, + "reason": "Same FP16-unscale failure in SDXL DreamBooth/LoRA training scripts." + }, + { + "left": "issue:5025", + "right": "issue:6636", + "accept": false, + "reason": "Different missing imports from different modules; they are not the same bug." + }, + { + "left": "issue:1817", + "right": "issue:539", + "accept": false, + "reason": "Different API signature regressions in unrelated helper functions." + }, + { + "left": "issue:11417", + "right": "issue:8182", + "accept": false, + "reason": "Completely different AttributeErrors in unrelated objects ('DistributedDataParallel.dtype' vs logger typo), so not duplicates." + }, + { + "left": "issue:6098", + "right": "issue:6124", + "accept": true, + "reason": "Same FP16-unscale training failure, just reported through a different notebook/script." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The dominant FP16-unscale family is supported by the titles and the one explicit duplicate reference (6363 \u2194 8871), and the smaller img2img pair is also defensible. The rejected soft pairs are generally framed by clear title-level differences, so I don\u2019t see overstatement that would justify rejection." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 8, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10722", + "issue:12436", + "issue:12482", + "issue:13137", + "issue:13261", + "issue:2044", + "issue:2132", + "issue:2294", + "issue:2669", + "issue:2780", + "issue:2947", + "issue:3040", + "issue:3787", + "issue:4118", + "issue:4232", + "issue:4234", + "issue:4265", + "issue:4557", + "issue:4615", + "issue:4619", + "issue:4969", + "issue:5012", + "issue:5016", + "issue:5029", + "issue:5075", + "issue:5572", + "issue:5603", + "issue:5712", + "issue:5992", + "issue:6124", + "issue:6126", + "issue:6324", + "issue:6353", + "issue:6371", + "issue:6442", + "issue:6482", + "issue:6636", + "issue:7239", + "issue:7516", + "issue:7681", + "issue:8182", + "issue:8320", + "issue:858", + "issue:8871", + "issue:8915", + "issue:9112", + "issue:9248", + "issue:9476" + ], + "soft_pairs": [ + "issue:5075|issue:7239", + "issue:6442|issue:8871", + "issue:4557|issue:5029", + "issue:6353|issue:6371", + "issue:4232|issue:4234", + "issue:13137|issue:13261", + "issue:12436|issue:12482", + "issue:5712|issue:9248", + "issue:2294|issue:3787", + "issue:4615|issue:5603", + "issue:10722|issue:9112", + "issue:4619|issue:9476", + "issue:3040|issue:5992", + "issue:4557|issue:858", + "issue:2044|issue:2669", + "issue:2780|issue:6482", + "issue:5012|issue:5016", + "issue:7516|issue:7681", + "issue:6124|issue:8871", + "issue:2044|issue:5572", + "issue:6324|issue:8182", + "issue:2132|issue:2669", + "issue:4265|issue:8915", + "issue:4118|issue:8320", + "issue:5603|issue:6636", + "issue:4969|issue:5603", + "issue:2947|issue:6126" + ], + "prepared_review_unit_hash": "47e9b2c76d107d685e3e0503811621195cae0c6ba28adef8017000913a377e5c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 35818, + "estimated_input_tokens": 8955, + "estimated_eval_tokens": 18166 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous cluster of unrelated diffusers issues, with only a few true duplicate families. The strongest duplicate thread is the repeated \"Attempting to unscale FP16 gradients\" LoRA training failures; a separate exact kwarg regression around `offload_state_dict` also matches cleanly.", + "confidence": 0.69, + "canonical_issue_reason": "Issue 6442 is the best anchor for the recurring FP16-unscale LoRA training bug: it has the exact error text, is broadly framed, and matches the same failure reported in 6124 and 8871.", + "canonical_pr_reason": null, + "best_issue_reason": "6442 is the cleanest representative of a real duplicate family in this cluster, with a precise title and enough context to subsume the same training error reports; it is better as the canonical issue than the more one-off, script-specific reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5075", + "right": "issue:7239", + "accept": false, + "reason": "Both are SDXL shape-mismatch reports, but they involve different dimensions and workflows (prompt embeddings/refiner vs DreamBooth LoRA); not the same concrete bug." + }, + { + "left": "issue:6442", + "right": "issue:8871", + "accept": true, + "reason": "Same exact training error (`Attempting to unscale FP16 gradients`) in the same LoRA training family; these look like duplicate reports of the same bug." + }, + { + "left": "issue:4557", + "right": "issue:5029", + "accept": false, + "reason": "Different attribute errors on different objects; no shared underlying failure." + }, + { + "left": "issue:6353", + "right": "issue:6371", + "accept": false, + "reason": "Both mention controlnet examples, but the failures differ (training example issue vs controlnet_xs assert) and do not look mergeable into one fix." + }, + { + "left": "issue:4232", + "right": "issue:4234", + "accept": false, + "reason": "These are related feature requests/questions about instruct-pix2pix/controlnet, but they are not the same concrete bug or change request." + }, + { + "left": "issue:13137", + "right": "issue:13261", + "accept": true, + "reason": "Both describe the same FLUX.2-klein LoRA/LoKr loading problem; the titles differ slightly but point to the same underlying failure." + }, + { + "left": "issue:12436", + "right": "issue:12482", + "accept": true, + "reason": "Same `offload_state_dict` kwarg being passed into `CLIPTextModel`; this is the same bug stated with slightly different wording." + }, + { + "left": "issue:5712", + "right": "issue:9248", + "accept": false, + "reason": "Both are install/upgrade complaints, but the first is explicitly Windows/Python 3.12-specific while the second is generic; not enough to treat as the same bug." + }, + { + "left": "issue:2294", + "right": "issue:3787", + "accept": false, + "reason": "Different import errors for different symbols and different failure modes." + }, + { + "left": "issue:4615", + "right": "issue:5603", + "accept": false, + "reason": "Different missing imports (`StableDiffusionControlnetPipeline` vs `is_safetensors_available`); these are separate API breakages." + }, + { + "left": "issue:10722", + "right": "issue:9112", + "accept": false, + "reason": "Both are tensor-size mismatch errors, but they occur in different models/workflows with different shapes; too broad to merge." + }, + { + "left": "issue:4619", + "right": "issue:9476", + "accept": false, + "reason": "Both are dtype mismatch reports during LoRA training, but they involve different scripts, models, and dtype combinations." + }, + { + "left": "issue:3040", + "right": "issue:5992", + "accept": false, + "reason": "Both mention `__module__`-style attribute errors, but the actual failing objects and contexts differ; not the same bug." + }, + { + "left": "issue:4557", + "right": "issue:858", + "accept": false, + "reason": "Unrelated attribute errors on different objects (`super` getattr vs `Parameter.named_children`)." + }, + { + "left": "issue:2044", + "right": "issue:2669", + "accept": false, + "reason": "No shared concrete failure: DDP `dtype` access vs `NoneType.replace`." + }, + { + "left": "issue:2780", + "right": "issue:6482", + "accept": true, + "reason": "Same exact `Attempting to unscale FP16 gradients` failure in LoRA training, with the second being a variant of the same mixed-precision checkpoint/resume problem." + }, + { + "left": "issue:5012", + "right": "issue:5016", + "accept": false, + "reason": "Both concern text-encoder training in SDXL LoRA scripts, but they are separate script-specific reports and not clearly the same concrete bug/change." + }, + { + "left": "issue:7516", + "right": "issue:7681", + "accept": false, + "reason": "Completely unrelated failures: missing pipeline attribute vs OpenSSL import-chain error." + }, + { + "left": "issue:6124", + "right": "issue:8871", + "accept": true, + "reason": "Both report the exact same FP16 unscale error in LoRA/DreamBooth training; clear duplicate family." + }, + { + "left": "issue:2044", + "right": "issue:5572", + "accept": false, + "reason": "Different failures and different objects; no duplicate signal." + }, + { + "left": "issue:6324", + "right": "issue:8182", + "accept": false, + "reason": "`bool.__module__` attribute error and logger typo are unrelated." + }, + { + "left": "issue:2132", + "right": "issue:2669", + "accept": false, + "reason": "Different runtime errors in different code paths; no same underlying bug." + }, + { + "left": "issue:4265", + "right": "issue:8915", + "accept": false, + "reason": "Both are import errors, but for different pipeline symbols and unrelated API surfaces." + }, + { + "left": "issue:4118", + "right": "issue:8320", + "accept": false, + "reason": "Different attribute errors involving `AutoencoderKL`; not the same bug." + }, + { + "left": "issue:5603", + "right": "issue:6636", + "accept": false, + "reason": "Both are import-name failures from `diffusers.utils`, but they affect different exported symbols and are not clearly the same issue." + }, + { + "left": "issue:4969", + "right": "issue:5603", + "accept": false, + "reason": "Different missing imports with different symbols; not the same failure." + }, + { + "left": "issue:2947", + "right": "issue:6126", + "accept": false, + "reason": "Unrelated model attribute errors (`load_attn_procs` vs `tile_sample_min_size`)." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet. The chosen canonical issue 6442 is a conservative and supported anchor for the repeated FP16-unscale LoRA training failures, and the other accepted soft edges are limited to close textual matches. The rejected pairs are generally handled cautiously, without overstating duplication from similarity alone." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 9, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10062", + "issue:10752", + "issue:11149", + "issue:11218", + "issue:11417", + "issue:1249", + "issue:12779", + "issue:1709", + "issue:1988", + "issue:2089", + "issue:2132", + "issue:2947", + "issue:3094", + "issue:3211", + "issue:3382", + "issue:3787", + "issue:3816", + "issue:3973", + "issue:4086", + "issue:4186", + "issue:4265", + "issue:4478", + "issue:4529", + "issue:4557", + "issue:4615", + "issue:4868", + "issue:4969", + "issue:5025", + "issue:5029", + "issue:5054", + "issue:539", + "issue:5518", + "issue:5919", + "issue:6086", + "issue:6098", + "issue:6126", + "issue:6324", + "issue:6442", + "issue:6444", + "issue:6741", + "issue:6842", + "issue:7330", + "issue:7854", + "issue:8307", + "issue:858", + "issue:8871", + "issue:9026" + ], + "soft_pairs": [ + "issue:1709|issue:6324", + "issue:11149|issue:9026", + "issue:11218|issue:4265", + "issue:1249|issue:2947", + "issue:11417|issue:12779", + "issue:6098|issue:6442", + "issue:2089|issue:3382", + "issue:3973|issue:539", + "issue:4529|issue:9026", + "issue:6086|issue:7330", + "issue:4868|issue:5029", + "issue:4557|issue:6126", + "issue:2947|issue:3211", + "issue:3787|issue:4615", + "issue:4478|issue:7854", + "issue:2947|issue:5518", + "issue:10062|issue:6444", + "issue:1988|issue:4478", + "issue:5054|issue:858", + "issue:2132|issue:5919", + "issue:2947|issue:858", + "issue:12779|issue:6741", + "issue:2947|issue:5029", + "issue:3816|issue:8307", + "issue:5025|issue:6842", + "issue:3094|issue:3382", + "issue:10752|issue:8871", + "issue:4086|issue:4186", + "issue:4969|issue:6842", + "issue:5029|issue:5054" + ], + "prepared_review_unit_hash": "e6af63249f54c248fc5f968d8763bc15874c65dd9677237d3c48bedb53b861f1", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 30, + "serialized_chars": 36069, + "estimated_input_tokens": 9018, + "estimated_eval_tokens": 18292 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous set of unrelated diffusers issues. The clear duplicate families are the FP16 gradient unscale bug, the half/float input-bias type mismatch runtime error, and the LoRA/PEFT peft_config AttributeError family only where the evidence is explicit enough.", + "confidence": 0.82, + "canonical_issue_reason": "issue:6442 is the most representative of the FP16 unscale failure cluster: it uses the exact shared error text and is the cleanest generic report among the variants.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6442 is the best global issue representative because it captures the recurring FP16 gradient unscale bug in the most generic form, without extra script-specific noise.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1709", + "right": "issue:6324", + "accept": false, + "reason": "Both are AttributeErrors, but they involve different missing attributes on different object types and do not look like the same bug." + }, + { + "left": "issue:11149", + "right": "issue:9026", + "accept": false, + "reason": "Both are unexpected-kwarg failures, but in different functions and with different signatures; same theme, not same defect." + }, + { + "left": "issue:11218", + "right": "issue:4265", + "accept": false, + "reason": "Both are import errors, but they are for different missing symbols in different modules." + }, + { + "left": "issue:1249", + "right": "issue:2947", + "accept": false, + "reason": "Different failures: ONNX numpy/device handling versus missing UNet load_attn_procs support." + }, + { + "left": "issue:11417", + "right": "issue:12779", + "accept": false, + "reason": "Different AttributeErrors in unrelated contexts: DDP dtype access versus a missing CLI argument." + }, + { + "left": "issue:6098", + "right": "issue:6442", + "accept": true, + "reason": "Same FP16 gradient unscale failure; the titles and reported error text align closely." + }, + { + "left": "issue:2089", + "right": "issue:3382", + "accept": false, + "reason": "Both mention OOM, but they are different training scripts and do not clearly share the same underlying bug." + }, + { + "left": "issue:3973", + "right": "issue:539", + "accept": false, + "reason": "Different unexpected keyword arguments on different APIs; not the same underlying change." + }, + { + "left": "issue:4529", + "right": "issue:9026", + "accept": false, + "reason": "Different kwarg regressions in different loader functions." + }, + { + "left": "issue:6086", + "right": "issue:7330", + "accept": true, + "reason": "Same FP16 unscale gradients failure, reported in another training script." + }, + { + "left": "issue:4868", + "right": "issue:5029", + "accept": false, + "reason": "Both are AttributeErrors, but on different objects with unrelated missing fields." + }, + { + "left": "issue:4557", + "right": "issue:6126", + "accept": false, + "reason": "Different missing-attribute problems in unrelated model code paths." + }, + { + "left": "issue:2947", + "right": "issue:3211", + "accept": false, + "reason": "Different missing attributes in different model classes; no shared bug is evident." + }, + { + "left": "issue:3787", + "right": "issue:4615", + "accept": false, + "reason": "Separate import issues for different pipeline symbols." + }, + { + "left": "issue:4478", + "right": "issue:7854", + "accept": true, + "reason": "Same half/float input-bias type mismatch runtime error; the failure text matches closely." + }, + { + "left": "issue:2947", + "right": "issue:5518", + "accept": false, + "reason": "Different missing attributes in different model components." + }, + { + "left": "issue:10062", + "right": "issue:6444", + "accept": false, + "reason": "The titles both mention peft_config, but the packet does not establish that they are the same DreamBooth SDXL/checkpointing code path, so this is too weak to merge." + }, + { + "left": "issue:12779", + "right": "issue:6741", + "accept": false, + "reason": "Different missing CLI arguments in different scripts." + }, + { + "left": "issue:2947", + "right": "issue:5029", + "accept": false, + "reason": "Different missing attributes on different model objects with no clear shared path." + }, + { + "left": "issue:3816", + "right": "issue:8307", + "accept": false, + "reason": "Different import errors for unrelated classes." + }, + { + "left": "issue:5025", + "right": "issue:6842", + "accept": false, + "reason": "Different missing imports from different modules." + }, + { + "left": "issue:3094", + "right": "issue:3382", + "accept": false, + "reason": "Both are OOM reports, but they describe different training setups and do not clearly share the same bug." + }, + { + "left": "issue:10752", + "right": "issue:8871", + "accept": true, + "reason": "Same FP16 gradient unscale failure, described as the same bug in another LoRA training report." + }, + { + "left": "issue:4086", + "right": "issue:4186", + "accept": false, + "reason": "Different SDXL/controlnet/inpaint training problems; not the same defect." + }, + { + "left": "issue:4969", + "right": "issue:6842", + "accept": false, + "reason": "Different import errors involving different missing symbols." + }, + { + "left": "issue:5029", + "right": "issue:5054", + "accept": false, + "reason": "Different missing attributes on different model objects." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "Mostly grounded, but one soft-edge accept is too strong: issue:10062 vs issue:6444 only share the peft_config AttributeError in the titles. The packet does not establish that they are the same DreamBooth SDXL/checkpointing code path, so that verdict is more assertive than the evidence supports. The other pair calls look conservative." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 10, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10062", + "issue:10337", + "issue:10472", + "issue:10989", + "issue:11149", + "issue:11435", + "issue:11973", + "issue:12492", + "issue:12547", + "issue:1544", + "issue:170", + "issue:1709", + "issue:1842", + "issue:2132", + "issue:2669", + "issue:3015", + "issue:3202", + "issue:3569", + "issue:3728", + "issue:3787", + "issue:3816", + "issue:384", + "issue:3973", + "issue:409", + "issue:4410", + "issue:4615", + "issue:4868", + "issue:4969", + "issue:5054", + "issue:5466", + "issue:6086", + "issue:6124", + "issue:6139", + "issue:6363", + "issue:6442", + "issue:6482", + "issue:672", + "issue:6858", + "issue:7516", + "issue:7593", + "issue:8182", + "issue:8463", + "issue:859", + "issue:8915", + "issue:9026", + "issue:9645", + "issue:9973" + ], + "soft_pairs": [ + "issue:4410|issue:5466", + "issue:1709|issue:5054", + "issue:6124|issue:6482", + "issue:10337|issue:10989", + "issue:6442|issue:9973", + "issue:6124|issue:6363", + "issue:3816|issue:7516", + "issue:10472|issue:11149", + "issue:1544|issue:2669", + "issue:4969|issue:9645", + "issue:10062|issue:6139", + "issue:3973|issue:9026", + "issue:859|issue:9026", + "issue:7593|issue:8463", + "issue:4615|issue:4969", + "issue:1544|issue:2132", + "issue:11973|issue:12547", + "issue:11435|issue:3787", + "issue:4615|issue:8915", + "issue:4868|issue:6139", + "issue:170|issue:1842", + "issue:3569|issue:3728", + "issue:1709|issue:8182", + "issue:384|issue:6858", + "issue:12492|issue:3816", + "issue:1709|issue:409", + "issue:3202|issue:5054", + "issue:6086|issue:6124", + "issue:3015|issue:672" + ], + "prepared_review_unit_hash": "4c67400215ebeffbcda3220ae12ccf18d91aaa5fd9ad3f21999b3782ccc5c424", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 29, + "serialized_chars": 35857, + "estimated_input_tokens": 8965, + "estimated_eval_tokens": 18186 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a loose similarity cluster, not a single duplicate set. The only clear duplicate families are the repeated \"Attempting to unscale FP16 gradients\" reports, the repeated \"--instance_prompt\" Flux Kontext reports, and the FLUX quantized-transformers loading failures.", + "confidence": 0.78, + "canonical_issue_reason": "Issue 6442 is the cleanest umbrella for the repeated \"Attempting to unscale FP16 gradients.\" failures and is the most generic, reusable representative of that bug family.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6442 best represents the most recurring concrete bug pattern in this cluster: the FP16 gradient unscale failure appearing across multiple training-script variants.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4410", + "right": "issue:5466", + "accept": false, + "reason": "Different failures: UNet shape mismatch vs LoRA weight loading shape mismatch; same broad area but not the same bug." + }, + { + "left": "issue:1709", + "right": "issue:5054", + "accept": false, + "reason": "Unrelated attribute errors on different objects/methods; no shared concrete code path." + }, + { + "left": "issue:6124", + "right": "issue:6482", + "accept": true, + "reason": "Same FP16 gradient-unscale error in closely related DreamBooth/LoRA SDXL training flows." + }, + { + "left": "issue:10337", + "right": "issue:10989", + "accept": true, + "reason": "Both describe FLUX adapter loading failing when transformers are quantized; same underlying quantized-load bug." + }, + { + "left": "issue:6442", + "right": "issue:9973", + "accept": true, + "reason": "Exact same \"Attempting to unscale FP16 gradients\" bug family in training scripts." + }, + { + "left": "issue:6124", + "right": "issue:6363", + "accept": true, + "reason": "Same exact FP16 gradient-unscale failure, just reported from a different LoRA training entry point." + }, + { + "left": "issue:3816", + "right": "issue:7516", + "accept": false, + "reason": "Different missing-transformers-attribute failures (CLIPImageProcessor vs DepthNormalEstimationPipeline)." + }, + { + "left": "issue:10472", + "right": "issue:11149", + "accept": false, + "reason": "Different bugs: unexpected lora_bias kwarg vs unexpected dtype kwarg in quantizer code." + }, + { + "left": "issue:1544", + "right": "issue:2669", + "accept": false, + "reason": "Both are generic attribute errors, but the missing attributes and code paths are unrelated." + }, + { + "left": "issue:4969", + "right": "issue:9645", + "accept": false, + "reason": "Both are import errors, but they involve different symbols and different failure causes." + }, + { + "left": "issue:10062", + "right": "issue:6139", + "accept": false, + "reason": "Different UNet attribute failures: missing peft_config vs missing attn_processors." + }, + { + "left": "issue:3973", + "right": "issue:9026", + "accept": false, + "reason": "Different unexpected-kwarg problems in different functions." + }, + { + "left": "issue:859", + "right": "issue:9026", + "accept": false, + "reason": "Different constructor/load kwargs; same error shape but not the same bug." + }, + { + "left": "issue:7593", + "right": "issue:8463", + "accept": false, + "reason": "Both are NoneType attribute errors, but on different objects and unrelated code paths." + }, + { + "left": "issue:4615", + "right": "issue:4969", + "accept": false, + "reason": "Different import targets from diffusers; not the same missing symbol." + }, + { + "left": "issue:1544", + "right": "issue:2132", + "accept": false, + "reason": "Completely different failures: scheduler API mismatch vs Accelerator trackers attribute." + }, + { + "left": "issue:11973", + "right": "issue:12547", + "accept": true, + "reason": "Same Flux Kontext issue: the script requires --instance_prompt in both reports." + }, + { + "left": "issue:11435", + "right": "issue:3787", + "accept": false, + "reason": "Both are import errors, but they reference different modules/symbols and different root causes." + }, + { + "left": "issue:4615", + "right": "issue:8915", + "accept": false, + "reason": "Both are import errors, but one is ControlNet pipeline and the other is AutoPipelineForText2Image; not the same bug." + }, + { + "left": "issue:4868", + "right": "issue:6139", + "accept": false, + "reason": "Different attribute errors on different objects; no evidence of a shared fix." + }, + { + "left": "issue:170", + "right": "issue:1842", + "accept": true, + "reason": "Same unexpected-eta error in the Stable Diffusion step call." + }, + { + "left": "issue:3569", + "right": "issue:3728", + "accept": false, + "reason": "Two separate new-pipeline requests, not duplicates." + }, + { + "left": "issue:1709", + "right": "issue:8182", + "accept": false, + "reason": "Unrelated attribute errors on Tensor vs Logger." + }, + { + "left": "issue:384", + "right": "issue:6858", + "accept": false, + "reason": "Both mention attribute errors, but the failing objects and contexts are unrelated." + }, + { + "left": "issue:12492", + "right": "issue:3816", + "accept": false, + "reason": "Both are transformers attribute issues, but they are different missing names and not clearly the same code-path problem." + }, + { + "left": "issue:1709", + "right": "issue:409", + "accept": false, + "reason": "Different missing-method failures in different APIs." + }, + { + "left": "issue:3202", + "right": "issue:5054", + "accept": false, + "reason": "Different pipeline attribute gaps; no shared underlying bug." + }, + { + "left": "issue:6086", + "right": "issue:6124", + "accept": true, + "reason": "Same FP16 gradient-unscale error across LoRA training examples; plausibly one fix covers both." + }, + { + "left": "issue:3015", + "right": "issue:672", + "accept": false, + "reason": "Related conversion topics, but one is ControlNet-specific and the other is a broader ckpt conversion request." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The rejected pairs are mostly justified by different concrete error signatures or unrelated code paths, and the accepted pairs are limited to clearly recurring families in the packet (FP16 unscale failures, --instance_prompt, eta keyword, and quantized-transformer load failures)." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 11, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10062", + "issue:10180", + "issue:10512", + "issue:11435", + "issue:11978", + "issue:1249", + "issue:13015", + "issue:1544", + "issue:1817", + "issue:1991", + "issue:2044", + "issue:2294", + "issue:2669", + "issue:2947", + "issue:3040", + "issue:3202", + "issue:3211", + "issue:3638", + "issue:3728", + "issue:3973", + "issue:409", + "issue:4265", + "issue:4557", + "issue:4615", + "issue:5025", + "issue:5246", + "issue:5518", + "issue:5572", + "issue:5578", + "issue:5603", + "issue:5897", + "issue:5919", + "issue:6086", + "issue:6098", + "issue:6139", + "issue:6842", + "issue:7891", + "issue:7931", + "issue:8307", + "issue:858", + "issue:8833", + "issue:8975", + "issue:9187", + "issue:9628", + "issue:9645", + "issue:9873", + "issue:9895" + ], + "soft_pairs": [ + "issue:2294|issue:8975", + "issue:1991|issue:5897", + "issue:5025|issue:9645", + "issue:6098|issue:9628", + "issue:2044|issue:5919", + "issue:5578|issue:8833", + "issue:6086|issue:9628", + "issue:7931|issue:9187", + "issue:11435|issue:5603", + "issue:13015|issue:9895", + "issue:1817|issue:3973", + "issue:5246|issue:8307", + "issue:1249|issue:4557", + "issue:3638|issue:3728", + "issue:6842|issue:9645", + "issue:10180|issue:10512", + "issue:1544|issue:5572", + "issue:10062|issue:2947", + "issue:1544|issue:2947", + "issue:2669|issue:2947", + "issue:4265|issue:4615", + "issue:13015|issue:7891", + "issue:3040|issue:3211", + "issue:2947|issue:409", + "issue:4557|issue:6139", + "issue:11978|issue:9873", + "issue:2947|issue:3202", + "issue:5518|issue:858" + ], + "prepared_review_unit_hash": "095f40d9ea6986d0cd036195504f536c04230a5e954a0907ebe4607637b15e79", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 35372, + "estimated_input_tokens": 8843, + "estimated_eval_tokens": 17942 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose set of similar-looking diffusers issues rather than true duplicates. No soft-edge pair is supported strongly enough to accept; the IP-Adapter pair (#7931/#9187) in particular has different failure surfaces and lacks evidence of a shared root cause.", + "confidence": 0.84, + "canonical_issue_reason": "No single issue is a perfect canonical for the whole cluster; #2947 is the closest representative of the recurring UNet/LoRA attribute-error subgroup and is the earliest central report in that smaller theme.", + "canonical_pr_reason": null, + "best_issue_reason": "#2947 is the best global representative among these issues because it anchors the common UNet/LoRA API-compatibility pattern more clearly than the other items, which are mostly separate import/config/device problems.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2294", + "right": "issue:8975", + "accept": false, + "reason": "Both are import errors, but they fail on different missing symbols in different modules." + }, + { + "left": "issue:1991", + "right": "issue:5897", + "accept": false, + "reason": "Both mention device mismatches, but they involve different workflows and likely different root causes." + }, + { + "left": "issue:5025", + "right": "issue:9645", + "accept": false, + "reason": "Different missing exports from different namespaces; no shared concrete fix." + }, + { + "left": "issue:6098", + "right": "issue:9628", + "accept": false, + "reason": "Same broad FP16 unscale message, but different scripts/model setups and no evidence of one fix." + }, + { + "left": "issue:2044", + "right": "issue:5919", + "accept": false, + "reason": "Different missing attributes on different object types; not the same bug." + }, + { + "left": "issue:5578", + "right": "issue:8833", + "accept": false, + "reason": "Both are missing file errors, but for different files and different model/package contexts." + }, + { + "left": "issue:6086", + "right": "issue:9628", + "accept": false, + "reason": "Shared error text, but the training setups differ enough that the same fix is not established." + }, + { + "left": "issue:7931", + "right": "issue:9187", + "accept": false, + "reason": "Both involve IP-Adapter, but the titles point to different failure surfaces and there is no packet evidence they share the same root cause or fix." + }, + { + "left": "issue:11435", + "right": "issue:5603", + "accept": false, + "reason": "Different missing imports from different parts of diffusers; unrelated symbols." + }, + { + "left": "issue:13015", + "right": "issue:9895", + "accept": false, + "reason": "Both are device mismatch errors, but on different models/hardware paths and not clearly the same bug." + }, + { + "left": "issue:1817", + "right": "issue:3973", + "accept": false, + "reason": "Both are unexpected keyword errors, but in different helper functions and code paths." + }, + { + "left": "issue:5246", + "right": "issue:8307", + "accept": false, + "reason": "Different missing attributes on the diffusers module; not the same issue." + }, + { + "left": "issue:1249", + "right": "issue:4557", + "accept": false, + "reason": "Completely different failures: ndarray `.device` versus `super().__getattr__`." + }, + { + "left": "issue:3638", + "right": "issue:3728", + "accept": false, + "reason": "Both are new-pipeline proposals, but for different models and different changes." + }, + { + "left": "issue:6842", + "right": "issue:9645", + "accept": false, + "reason": "Different missing pipeline/import symbols; same package, not the same fix." + }, + { + "left": "issue:10180", + "right": "issue:10512", + "accept": false, + "reason": "Both concern Flux LoRA loading, but the reported scenarios are different enough to avoid merging." + }, + { + "left": "issue:1544", + "right": "issue:5572", + "accept": false, + "reason": "Different missing attributes on different components." + }, + { + "left": "issue:10062", + "right": "issue:2947", + "accept": false, + "reason": "Both are UNet/LoRA-related attribute errors, but they fail on different methods and likely need different fixes." + }, + { + "left": "issue:1544", + "right": "issue:2947", + "accept": false, + "reason": "Scheduler `get_velocity` and UNet `load_attn_procs` are different components and different failures." + }, + { + "left": "issue:2669", + "right": "issue:2947", + "accept": false, + "reason": "`NoneType.replace` is unrelated to UNet attention-processor loading." + }, + { + "left": "issue:4265", + "right": "issue:4615", + "accept": false, + "reason": "Both are ControlNet-related import errors, but they reference different pipeline symbols and exports." + }, + { + "left": "issue:4557", + "right": "issue:6139", + "accept": false, + "reason": "Different attribute errors on different object types; no shared code path." + }, + { + "left": "issue:11978", + "right": "issue:9873", + "accept": false, + "reason": "Different pipeline feature requests for different models." + }, + { + "left": "issue:2947", + "right": "issue:3202", + "accept": false, + "reason": "`load_attn_procs` and `enable_vae_tiling` are unrelated missing methods on different pipeline classes." + }, + { + "left": "issue:5518", + "right": "issue:858", + "accept": false, + "reason": "Different attribute errors in different module types; not the same bug." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The writeup is mostly conservative, but it overstates the only accepted soft-edge pair. From the packet, issue:7931 and issue:9187 both involve IP-Adapter, yet the titles point to different failure surfaces (`ip_adapter_image_embeds` in SDXL ControlNet InpaintPipeline vs `image_encoder_folder=None` after a Kolors update), and there is no explicit evidence in the packet that they share the same root cause or fix. That makes the accept verdict too strong. The rest of the pair judgments look appropriately cautious, but this one unsupported accept is enough to reject." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 12, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10472", + "issue:11214", + "issue:11417", + "issue:11865", + "issue:12044", + "issue:1249", + "issue:12630", + "issue:1315", + "issue:1433", + "issue:1817", + "issue:2044", + "issue:2098", + "issue:2669", + "issue:2904", + "issue:2947", + "issue:3008", + "issue:3211", + "issue:3325", + "issue:384", + "issue:409", + "issue:4557", + "issue:4615", + "issue:4868", + "issue:5025", + "issue:5054", + "issue:5125", + "issue:5510", + "issue:5522", + "issue:5572", + "issue:6086", + "issue:6098", + "issue:6176", + "issue:6351", + "issue:6363", + "issue:6382", + "issue:6442", + "issue:6636", + "issue:6811", + "issue:7228", + "issue:7593", + "issue:8463", + "issue:858", + "issue:9278", + "issue:9476", + "issue:9790", + "issue:9973" + ], + "soft_pairs": [ + "issue:3325|issue:5125", + "issue:3211|issue:4557", + "issue:11417|issue:4868", + "issue:6176|issue:6382", + "issue:12630|issue:2904", + "issue:9278|issue:9790", + "issue:1315|issue:6636", + "issue:12044|issue:1433", + "issue:409|issue:858", + "issue:6363|issue:6442", + "issue:1249|issue:5054", + "issue:10472|issue:1817", + "issue:2669|issue:5572", + "issue:10010|issue:6811", + "issue:2044|issue:6351", + "issue:2044|issue:384", + "issue:11214|issue:5522", + "issue:6098|issue:9973", + "issue:1249|issue:8463", + "issue:2098|issue:3008", + "issue:4615|issue:5025", + "issue:11865|issue:2947", + "issue:6086|issue:6098", + "issue:409|issue:5054", + "issue:7228|issue:7593", + "issue:5510|issue:9476" + ], + "prepared_review_unit_hash": "12a59477cb507f962dabf77c3435a9c97764dc5c891bd90cf48261590398c71b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 35150, + "estimated_input_tokens": 8788, + "estimated_eval_tokens": 17832 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous set of diffusers issues with a few clear duplicate mini-clusters. I accepted only the exact same-error pairs or very close same-script duplicates; the rest are too broad or point to different code paths.", + "confidence": 0.78, + "canonical_issue_reason": "Issue 6363 is the strongest representative of the FP16-gradient duplicate set: it has the clearest problem statement and the richest discussion around the same exact failure mode.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6363 is the best overall issue to anchor this cluster because it matches multiple accepted duplicates and describes the core error cleanly.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3325", + "right": "issue:5125", + "accept": false, + "reason": "Both are CUDA failures, but they involve different scripts and different error conditions; not the same concrete bug." + }, + { + "left": "issue:3211", + "right": "issue:4557", + "accept": false, + "reason": "Different missing-attribute errors on different objects; only superficial similarity." + }, + { + "left": "issue:11417", + "right": "issue:4868", + "accept": false, + "reason": "Unrelated attribute errors in different code paths." + }, + { + "left": "issue:6176", + "right": "issue:6382", + "accept": false, + "reason": "One is LoRA weight loading after training, the other is an IP-adapter key error during SDXL/LCM use; not the same issue." + }, + { + "left": "issue:12630", + "right": "issue:2904", + "accept": false, + "reason": "Different AudioLDM-related failures with different missing attributes and root causes." + }, + { + "left": "issue:9278", + "right": "issue:9790", + "accept": true, + "reason": "Both describe the same FLUX.1-dev DreamBooth multigpu training problem and appear to be duplicate reports of the same workflow failure." + }, + { + "left": "issue:1315", + "right": "issue:6636", + "accept": false, + "reason": "Both are import errors from diffusers.utils, but they are different missing symbols and likely different breakages." + }, + { + "left": "issue:12044", + "right": "issue:1433", + "accept": false, + "reason": "Different attribute errors on different types; not the same bug." + }, + { + "left": "issue:409", + "right": "issue:858", + "accept": false, + "reason": "These failures are unrelated and arise from different objects and APIs." + }, + { + "left": "issue:6363", + "right": "issue:6442", + "accept": true, + "reason": "Same exact FP16 gradient unscale error; clearly duplicate reports of the same training problem." + }, + { + "left": "issue:1249", + "right": "issue:5054", + "accept": false, + "reason": "Different pipeline attribute failures with no shared concrete code path." + }, + { + "left": "issue:10472", + "right": "issue:1817", + "accept": false, + "reason": "Both are TypeErrors, but they concern different unexpected arguments and different workflows." + }, + { + "left": "issue:2669", + "right": "issue:5572", + "accept": false, + "reason": "Different AttributeErrors with different failing objects and causes." + }, + { + "left": "issue:10010", + "right": "issue:6811", + "accept": false, + "reason": "Both are 404s for model_index.json, but for different models/examples; same symptom, not the same underlying issue." + }, + { + "left": "issue:2044", + "right": "issue:6351", + "accept": false, + "reason": "Both involve DDP-wrapped models, but they fail on different missing attributes and code paths." + }, + { + "left": "issue:2044", + "right": "issue:384", + "accept": false, + "reason": "Completely different attribute errors; not duplicates." + }, + { + "left": "issue:11214", + "right": "issue:5522", + "accept": false, + "reason": "Different TypeErrors from different APIs and subsystems." + }, + { + "left": "issue:6098", + "right": "issue:9973", + "accept": true, + "reason": "Exact same FP16 gradient unscale failure; duplicate training error report." + }, + { + "left": "issue:1249", + "right": "issue:8463", + "accept": false, + "reason": "Different runtime failures in different pipelines; no shared concrete bug." + }, + { + "left": "issue:2098", + "right": "issue:3008", + "accept": true, + "reason": "Both report the same invalid torch.randn argument combination in the community pipeline path." + }, + { + "left": "issue:4615", + "right": "issue:5025", + "accept": false, + "reason": "Different import errors involving different symbols; not the same bug." + }, + { + "left": "issue:11865", + "right": "issue:2947", + "accept": false, + "reason": "Both are missing-method errors on model classes, but they are different methods and different feature paths." + }, + { + "left": "issue:6086", + "right": "issue:6098", + "accept": true, + "reason": "Same FP16-gradient unscale error, with one issue giving extra training-script context." + }, + { + "left": "issue:409", + "right": "issue:5054", + "accept": false, + "reason": "Different missing-attribute failures on different pipeline classes." + }, + { + "left": "issue:7228", + "right": "issue:7593", + "accept": false, + "reason": "Different model-loading/runtime errors on different pipelines; not the same underlying issue." + }, + { + "left": "issue:5510", + "right": "issue:9476", + "accept": false, + "reason": "Both are dtype mismatch errors, but they occur in different pipelines and likely different code paths." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The cluster summary is grounded in the packet and the conservative stance is appropriate. The accepted duplicate mini-clusters are well supported by the titles and activity in the packet: the repeated FP16-gradient reports, the FLUX.1-dev multigpu DreamBooth pair, and the torch.randn invalid-arguments pair. The rejected pairs are phrased cautiously and do not overclaim sameness from superficial symptom overlap. No mergeability issue appears here since this is an issue cluster, not a PR pair." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 13, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11218", + "issue:11435", + "issue:11581", + "issue:12436", + "issue:1249", + "issue:12778", + "issue:13015", + "issue:1315", + "issue:1544", + "issue:1552", + "issue:1817", + "issue:1875", + "issue:1976", + "issue:1991", + "issue:2044", + "issue:2669", + "issue:2904", + "issue:2947", + "issue:3124", + "issue:3787", + "issue:409", + "issue:4229", + "issue:4456", + "issue:4478", + "issue:4557", + "issue:4969", + "issue:5259", + "issue:5578", + "issue:5603", + "issue:5805", + "issue:5919", + "issue:6124", + "issue:6126", + "issue:6139", + "issue:6146", + "issue:6442", + "issue:6444", + "issue:6454", + "issue:6482", + "issue:6858", + "issue:7593", + "issue:7891", + "issue:8871", + "issue:8915", + "issue:8975", + "issue:9026", + "issue:9430", + "issue:9476" + ], + "soft_pairs": [ + "issue:6124|issue:6454", + "issue:1817|issue:9026", + "issue:4456|issue:6139", + "issue:5805|issue:9476", + "issue:4969|issue:8915", + "issue:11581|issue:12436", + "issue:1544|issue:5919", + "issue:2904|issue:7593", + "issue:5603|issue:8915", + "issue:6442|issue:6482", + "issue:3787|issue:8975", + "issue:1552|issue:3124", + "issue:1976|issue:5578", + "issue:4229|issue:6146", + "issue:2669|issue:6858", + "issue:1544|issue:4557", + "issue:409|issue:4557", + "issue:1991|issue:7891", + "issue:13015|issue:1991", + "issue:5259|issue:5578", + "issue:12778|issue:6444", + "issue:1875|issue:4478", + "issue:11435|issue:8915", + "issue:2947|issue:9430", + "issue:11218|issue:1315", + "issue:2044|issue:6126", + "issue:6454|issue:8871", + "issue:1249|issue:409" + ], + "prepared_review_unit_hash": "6784066cc65705e40e41830262006ed0cd2605d299ca95cb0419bbced6fe2ee7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 36126, + "estimated_input_tokens": 9032, + "estimated_eval_tokens": 18320 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous false positives. The only clear duplicate family is the repeated \"Attempting to unscale FP16 gradients\" reports; the rest differ by symbol, pipeline, or failure mode.", + "confidence": 0.92, + "canonical_issue_reason": "6442 is the best anchor for the only real duplicate subcluster: it is the broadest FP16-gradient report and the later matching reports are narrower reposts or repro variants.", + "canonical_pr_reason": null, + "best_issue_reason": "6442 is the strongest global issue representative here because it captures the recurring FP16-gradient failure family, while the other items do not cohere into one bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6124", + "right": "issue:6454", + "accept": true, + "reason": "Same exact FP16-gradient unscale failure in the DreamBooth/LoRA training flow." + }, + { + "left": "issue:1817", + "right": "issue:9026", + "accept": false, + "reason": "Both are training-API errors, but they involve different unexpected arguments and different code paths." + }, + { + "left": "issue:4456", + "right": "issue:6139", + "accept": false, + "reason": "Different LoRA-related attribute failures: ModuleList indexing vs missing attn_processors." + }, + { + "left": "issue:5805", + "right": "issue:9476", + "accept": false, + "reason": "Both are dtype mismatches, but they occur in different pipelines/models and are not the same concrete bug." + }, + { + "left": "issue:4969", + "right": "issue:8915", + "accept": false, + "reason": "Different missing imports: CrossAttention vs AutoPipelineForText2Image." + }, + { + "left": "issue:11581", + "right": "issue:12436", + "accept": false, + "reason": "Different constructor keyword errors affecting different model classes and settings." + }, + { + "left": "issue:1544", + "right": "issue:5919", + "accept": false, + "reason": "Unrelated failures: missing scheduler method vs missing LoRA layer method." + }, + { + "left": "issue:2904", + "right": "issue:7593", + "accept": false, + "reason": "Different pipeline failures with unrelated null/attribute problems." + }, + { + "left": "issue:5603", + "right": "issue:8915", + "accept": false, + "reason": "Both are import errors, but for different symbols and different underlying causes." + }, + { + "left": "issue:6442", + "right": "issue:6482", + "accept": true, + "reason": "Same FP16-gradient unscale error; 6482 is a checkpoint-resume repro of the same training bug." + }, + { + "left": "issue:3787", + "right": "issue:8975", + "accept": false, + "reason": "Different import failures involving different modules and symbols." + }, + { + "left": "issue:1552", + "right": "issue:3124", + "accept": false, + "reason": "Attention slicing support and model conversion are unrelated bugs." + }, + { + "left": "issue:1976", + "right": "issue:5578", + "accept": false, + "reason": "Both mention model file lookup, but one is a tokenizer path issue and the other is a missing model_index.json in a different context." + }, + { + "left": "issue:4229", + "right": "issue:6146", + "accept": false, + "reason": "Both involve multi-GPU training, but they are different scripts and failure descriptions." + }, + { + "left": "issue:2669", + "right": "issue:6858", + "accept": false, + "reason": "Different attribute errors in different ControlNet-related code paths." + }, + { + "left": "issue:1544", + "right": "issue:4557", + "accept": false, + "reason": "Different missing-attribute failures with no shared concrete mechanism." + }, + { + "left": "issue:409", + "right": "issue:4557", + "accept": false, + "reason": "Different symptoms: missing enable_attention_slicing vs super missing __getattr__." + }, + { + "left": "issue:1991", + "right": "issue:7891", + "accept": false, + "reason": "Same broad device-mismatch symptom, but different pipelines and no evidence they share the same code path." + }, + { + "left": "issue:13015", + "right": "issue:1991", + "accept": false, + "reason": "Both are device mismatches, but one is NPU-specific QwenImageEditPlus and the other is checkpoint merger on a different stack." + }, + { + "left": "issue:5259", + "right": "issue:5578", + "accept": false, + "reason": "Both concern model loading, but one is a missing model_index.json directory issue and the other is a different OSError variant." + }, + { + "left": "issue:12778", + "right": "issue:6444", + "accept": false, + "reason": "Different attribute errors in different FLUX/CLIP training code paths." + }, + { + "left": "issue:1875", + "right": "issue:4478", + "accept": false, + "reason": "Both are mixed-precision/runtime dtype problems, but they arise in different pipelines and are not the same bug." + }, + { + "left": "issue:11435", + "right": "issue:8915", + "accept": false, + "reason": "Different missing pipeline imports for different classes." + }, + { + "left": "issue:2947", + "right": "issue:9430", + "accept": false, + "reason": "Different None/attribute errors with no shared concrete failing object." + }, + { + "left": "issue:11218", + "right": "issue:1315", + "accept": false, + "reason": "Different missing imports from different diffusers modules." + }, + { + "left": "issue:2044", + "right": "issue:6126", + "accept": false, + "reason": "Different attribute errors on different objects: DDP dtype vs VAE tile_sample_min_size." + }, + { + "left": "issue:6454", + "right": "issue:8871", + "accept": true, + "reason": "Same exact FP16-gradient unscale failure; 8871 is a later duplicate report." + }, + { + "left": "issue:1249", + "right": "issue:409", + "accept": false, + "reason": "Different failures: ONNX numpy/device handling vs attention-slicing attribute availability." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative: the only clearly supported duplicate family is the FP16-gradient unscale reports, and the accepted soft edges are well-backed by matching titles/body context. No pair appears overstated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 14, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10472", + "issue:11581", + "issue:11865", + "issue:12126", + "issue:12195", + "issue:12494", + "issue:12779", + "issue:1709", + "issue:1991", + "issue:2132", + "issue:2669", + "issue:2995", + "issue:3202", + "issue:3211", + "issue:3290", + "issue:3382", + "issue:384", + "issue:4086", + "issue:409", + "issue:4265", + "issue:4551", + "issue:4557", + "issue:5025", + "issue:5054", + "issue:5081", + "issue:539", + "issue:5518", + "issue:5572", + "issue:5603", + "issue:6363", + "issue:6444", + "issue:6697", + "issue:6858", + "issue:7239", + "issue:7593", + "issue:8463", + "issue:8537", + "issue:858", + "issue:8637", + "issue:8863", + "issue:8915", + "issue:9026", + "issue:9055", + "issue:9278", + "issue:9450", + "issue:9726", + "issue:9727", + "issue:9973" + ], + "soft_pairs": [ + "issue:2669|issue:384", + "issue:12195|issue:8537", + "issue:539|issue:9026", + "issue:5603|issue:8637", + "issue:6363|issue:9973", + "issue:12126|issue:8463", + "issue:3382|issue:6697", + "issue:12494|issue:7239", + "issue:5025|issue:8915", + "issue:409|issue:7593", + "issue:3290|issue:5054", + "issue:4265|issue:9055", + "issue:4086|issue:4551", + "issue:1709|issue:858", + "issue:5572|issue:6858", + "issue:1991|issue:9450", + "issue:11865|issue:4557", + "issue:2669|issue:3211", + "issue:1709|issue:3211", + "issue:9278|issue:9727", + "issue:2995|issue:5081", + "issue:12779|issue:6444", + "issue:10472|issue:11581", + "issue:3202|issue:5518", + "issue:2132|issue:5572", + "issue:3290|issue:409", + "issue:4265|issue:5603", + "issue:8637|issue:8915", + "issue:8463|issue:8863", + "issue:9278|issue:9726" + ], + "prepared_review_unit_hash": "62c3f700d248462d4eb1612d61ea02674a5fce00b88b8e128ca2886403fe59e5", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36782, + "estimated_input_tokens": 9196, + "estimated_eval_tokens": 18648 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set; it contains many unrelated diffusers issues that only share broad error wording. All soft edges should be rejected.", + "confidence": 0.94, + "canonical_issue_reason": "issue:12494 is the most recent, open, and detailed report, so it is the best single representative if one must be chosen for the mixed cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12494 has the strongest standalone context and is the most current user-facing regression report, but it does not match the others as the same bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2669", + "right": "issue:384", + "accept": false, + "reason": "Different failures in different code paths: NoneType.replace vs DiagonalGaussianDistribution.latent_dist." + }, + { + "left": "issue:12195", + "right": "issue:8537", + "accept": false, + "reason": "Unrelated runtime incompatibilities: torch.library.custom_op vs torch.float8_e4m3fn." + }, + { + "left": "issue:539", + "right": "issue:9026", + "accept": false, + "reason": "Both are TypeError-style version mismatches, but for different APIs and packages." + }, + { + "left": "issue:5603", + "right": "issue:8637", + "accept": false, + "reason": "Different import errors involving different symbols: is_safetensors_available vs PixArtSigmaPipeline." + }, + { + "left": "issue:6363", + "right": "issue:9973", + "accept": false, + "reason": "Both mention FP16 gradient scaling, but they are separate dreambooth LoRA reports with no evidence of the same bug." + }, + { + "left": "issue:12126", + "right": "issue:8463", + "accept": false, + "reason": "Different errors and components: cache_context during wan2.2 switching vs tokenize in InstructP2P-SDXL." + }, + { + "left": "issue:3382", + "right": "issue:6697", + "accept": false, + "reason": "Both are OOM-related training reports, but one is multi-GPU text-to-image and the other is SDXL LoRA; not the same concrete bug." + }, + { + "left": "issue:12494", + "right": "issue:7239", + "accept": false, + "reason": "Both are matmul shape errors, but the reported tensor dimensions and training setups differ." + }, + { + "left": "issue:5025", + "right": "issue:8915", + "accept": false, + "reason": "Different missing imports from different modules: randn_tensor vs AutoPipelineForText2Image." + }, + { + "left": "issue:409", + "right": "issue:7593", + "accept": false, + "reason": "Different missing attributes on different objects: enable_attention_slicing vs image_projection_layers." + }, + { + "left": "issue:3290", + "right": "issue:5054", + "accept": false, + "reason": "Both are NoneType/attribute issues, but flush and final_offload_hook are unrelated." + }, + { + "left": "issue:4265", + "right": "issue:9055", + "accept": false, + "reason": "Both are import errors, but for different classes from different namespaces." + }, + { + "left": "issue:4086", + "right": "issue:4551", + "accept": false, + "reason": "Different problems: one is ControlNet training on SDXL 0.9, the other is a DreamBooth crash on SDXL 1.0." + }, + { + "left": "issue:1709", + "right": "issue:858", + "accept": false, + "reason": "Different ONNX pipeline Tensor.astype issue vs Parameter.named_children issue." + }, + { + "left": "issue:5572", + "right": "issue:6858", + "accept": false, + "reason": "Different attribute failures in different subsystems: scaling_factor vs string.convert." + }, + { + "left": "issue:1991", + "right": "issue:9450", + "accept": false, + "reason": "Both mention device mismatch, but the checkpoint merger and FluxPipeline multi-GPU scenarios are different code paths." + }, + { + "left": "issue:11865", + "right": "issue:4557", + "accept": false, + "reason": "Unrelated attribute errors on different classes: CosmosTransformer3DModel.from_single_file vs super().__getattr__." + }, + { + "left": "issue:2669", + "right": "issue:3211", + "accept": false, + "reason": "Different attribute failures: NoneType.replace is unrelated to requires_safety_checker." + }, + { + "left": "issue:1709", + "right": "issue:3211", + "accept": false, + "reason": "Different missing attributes in unrelated pipelines and objects." + }, + { + "left": "issue:9278", + "right": "issue:9727", + "accept": false, + "reason": "Same FLUX/dreambooth area, but one is training and the other is save behavior on multi-GPU; not the same bug." + }, + { + "left": "issue:2995", + "right": "issue:5081", + "accept": false, + "reason": "Both are shape-mismatch errors, but they are distinct reports with different dimensions and likely different model setups." + }, + { + "left": "issue:12779", + "right": "issue:6444", + "accept": false, + "reason": "Different missing fields on Namespace vs CLIPTextModel.peft_config; not the same defect." + }, + { + "left": "issue:10472", + "right": "issue:11581", + "accept": false, + "reason": "Both are TypeError constructor-argument issues, but they involve different classes and different unsupported keywords." + }, + { + "left": "issue:3202", + "right": "issue:5518", + "accept": false, + "reason": "Different missing attributes on different objects and pipelines." + }, + { + "left": "issue:2132", + "right": "issue:5572", + "accept": false, + "reason": "Accelerator.trackers and FrozenDict.scaling_factor are unrelated failures." + }, + { + "left": "issue:3290", + "right": "issue:409", + "accept": false, + "reason": "Both are attribute errors, but on unrelated objects in different pipeline contexts." + }, + { + "left": "issue:4265", + "right": "issue:5603", + "accept": false, + "reason": "Both are import errors, but they target different missing symbols and are not the same underlying change." + }, + { + "left": "issue:8637", + "right": "issue:8915", + "accept": false, + "reason": "Both are import errors, but for different pipeline classes from different modules." + }, + { + "left": "issue:8463", + "right": "issue:8863", + "accept": false, + "reason": "Different attribute/shape errors in different features: tokenize vs tuple.shape." + }, + { + "left": "issue:9278", + "right": "issue:9726", + "accept": false, + "reason": "Both are FLUX.1-dev multi-GPU dreambooth reports, but one is training and the other is a separate problem report." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 15, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10154", + "issue:10180", + "issue:10472", + "issue:11651", + "issue:11732", + "issue:11865", + "issue:1249", + "issue:13015", + "issue:13300", + "issue:1433", + "issue:170", + "issue:2044", + "issue:2856", + "issue:2904", + "issue:3040", + "issue:3202", + "issue:3290", + "issue:3382", + "issue:3973", + "issue:409", + "issue:4456", + "issue:4529", + "issue:4557", + "issue:4868", + "issue:5029", + "issue:5054", + "issue:5081", + "issue:5082", + "issue:5171", + "issue:5518", + "issue:5897", + "issue:5919", + "issue:6086", + "issue:6126", + "issue:6351", + "issue:6454", + "issue:6482", + "issue:6869", + "issue:7114", + "issue:7228", + "issue:858", + "issue:859", + "issue:861", + "issue:8863", + "issue:8871", + "issue:9227", + "issue:9430", + "issue:9450" + ], + "soft_pairs": [ + "issue:2904|issue:5919", + "issue:13015|issue:9450", + "issue:10472|issue:4529", + "issue:13300|issue:9227", + "issue:2856|issue:861", + "issue:11865|issue:2904", + "issue:3290|issue:4557", + "issue:5081|issue:5082", + "issue:11732|issue:6869", + "issue:10154|issue:7228", + "issue:11865|issue:4868", + "issue:3040|issue:5518", + "issue:2044|issue:858", + "issue:3202|issue:409", + "issue:6086|issue:6454", + "issue:13015|issue:5897", + "issue:1433|issue:4557", + "issue:3290|issue:4868", + "issue:5054|issue:9430", + "issue:3382|issue:7114", + "issue:2044|issue:5029", + "issue:1249|issue:6126", + "issue:10154|issue:6351", + "issue:170|issue:859", + "issue:1249|issue:858", + "issue:5029|issue:8863", + "issue:6482|issue:8871", + "issue:10180|issue:11651", + "issue:3973|issue:5171", + "issue:4456|issue:6126" + ], + "prepared_review_unit_hash": "2a53dcfe9361e14c11e21f1ed8afd6dc07da019ba098a2895c12964bc4a057d5", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36697, + "estimated_input_tokens": 9175, + "estimated_eval_tokens": 18606 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a broad mix of unrelated issue reports that only share generic keywords like attribute errors, device mismatch, or unpacking failures. The only convincing duplicates are the repeated FP16 unscale LoRA-training reports.", + "confidence": 0.71, + "canonical_issue_reason": "Issue 6482 is the most specific of the repeated FP16-unscale LoRA-training failures: it names the script and the resume-from-checkpoint trigger, and it matches the same exact ValueError seen in the other LoRA training reports.", + "canonical_pr_reason": null, + "best_issue_reason": "6482 is the strongest anchor for the duplicate set because it has the clearest reproduction details while still matching the recurring FP16-unscale error signature.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2904", + "right": "issue:5919", + "accept": false, + "reason": "Both are attribute errors, but they hit different objects and code paths: AudioLDM scheduler vs LoRA layer loading." + }, + { + "left": "issue:13015", + "right": "issue:9450", + "accept": false, + "reason": "Both are device-placement failures, but one is NPU QwenImageEditPlus and the other is a Flux multi-GPU transformer setup; not the same bug." + }, + { + "left": "issue:10472", + "right": "issue:4529", + "accept": false, + "reason": "Different API mismatches in the LoRA loader: unexpected `lora_bias` vs unexpected `network_alpha`." + }, + { + "left": "issue:13300", + "right": "issue:9227", + "accept": false, + "reason": "Both mention FLUX, but one is CPU inference for SD3.5/FLUX and the other is a training-script problem; different workflows and failures." + }, + { + "left": "issue:2856", + "right": "issue:861", + "accept": false, + "reason": "Both concern converting Stable Diffusion to diffusers, but the reports are too generic and do not describe the same concrete failure." + }, + { + "left": "issue:11865", + "right": "issue:2904", + "accept": false, + "reason": "Unrelated errors in different components: `from_single_file` missing on CosmosTransformer3DModel vs `scheduler` missing in AudioLDM." + }, + { + "left": "issue:3290", + "right": "issue:4557", + "accept": false, + "reason": "Generic AttributeErrors, but on different objects (`flush` vs `__getattr__`) with no shared code path." + }, + { + "left": "issue:5081", + "right": "issue:5082", + "accept": false, + "reason": "Both are matmul shape errors, but the dimensions and likely root causes differ." + }, + { + "left": "issue:11732", + "right": "issue:6869", + "accept": false, + "reason": "Both are unpacking errors, but they occur in different utilities and reflect different code paths." + }, + { + "left": "issue:10154", + "right": "issue:7228", + "accept": false, + "reason": "Both are load-related attribute errors, but one is `load_lora_weights` and the other is a traced-model dtype issue." + }, + { + "left": "issue:11865", + "right": "issue:4868", + "accept": false, + "reason": "Different missing attributes on different objects; no evidence they share the same underlying bug." + }, + { + "left": "issue:3040", + "right": "issue:5518", + "accept": false, + "reason": "Different AttributeErrors in different contexts; only the broad pattern is shared." + }, + { + "left": "issue:2044", + "right": "issue:858", + "accept": false, + "reason": "Different wrapper/parameter attribute failures (`dtype` vs `named_children`); not the same issue." + }, + { + "left": "issue:3202", + "right": "issue:409", + "accept": false, + "reason": "Both are missing pipeline methods, but they are different APIs and likely different version gaps." + }, + { + "left": "issue:6086", + "right": "issue:6454", + "accept": true, + "reason": "Same exact FP16-unscale ValueError during LoRA training, with compatible repro context and a plausible shared fix." + }, + { + "left": "issue:13015", + "right": "issue:5897", + "accept": false, + "reason": "Both mention device mismatches, but they are different scenarios: NPU inference vs CUDA LoRA training." + }, + { + "left": "issue:1433", + "right": "issue:4557", + "accept": false, + "reason": "Different attribute failures in unrelated objects (`config` on OnnxRuntimeModel vs `__getattr__` on super)." + }, + { + "left": "issue:3290", + "right": "issue:4868", + "accept": false, + "reason": "Generic AttributeErrors, but the missing attributes and affected objects are different." + }, + { + "left": "issue:5054", + "right": "issue:9430", + "accept": false, + "reason": "Both are `NoneType` attribute errors, but the actual missing attributes and affected pipelines differ." + }, + { + "left": "issue:3382", + "right": "issue:7114", + "accept": false, + "reason": "Both are OOM reports, but they involve different scripts, models, and training setups." + }, + { + "left": "issue:2044", + "right": "issue:5029", + "accept": false, + "reason": "Different missing attributes on different model wrappers; no shared bug signal beyond generic AttributeError." + }, + { + "left": "issue:1249", + "right": "issue:6126", + "accept": false, + "reason": "A NumPy `device` attribute error in ONNX is unrelated to the VAE `tile_sample_min_size` issue." + }, + { + "left": "issue:10154", + "right": "issue:6351", + "accept": false, + "reason": "Both involve LoRA loading, but one is a generic `load_lora_weights` attribute issue and the other is DDP missing `disable_adapters`; different failures." + }, + { + "left": "issue:170", + "right": "issue:859", + "accept": false, + "reason": "Different unexpected-argument errors in different constructors/steps; not the same bug." + }, + { + "left": "issue:1249", + "right": "issue:858", + "accept": false, + "reason": "`numpy.ndarray` lacking `device` is unrelated to `Parameter` lacking `named_children`." + }, + { + "left": "issue:5029", + "right": "issue:8863", + "accept": false, + "reason": "Both are shape/attribute style runtime errors, but the reported objects and failure modes differ." + }, + { + "left": "issue:6482", + "right": "issue:8871", + "accept": true, + "reason": "Both report the same FP16-unscale ValueError during LoRA training, and the titles point to the same underlying training bug." + }, + { + "left": "issue:10180", + "right": "issue:11651", + "accept": false, + "reason": "Both are FluxControl/LoRA loading complaints, but one is about multiple LoRAs and the other about flux-fill-lora; too little evidence they are the same concrete bug." + }, + { + "left": "issue:3973", + "right": "issue:5171", + "accept": false, + "reason": "Different unexpected keyword arguments in different APIs (`vae_path` vs `safety_checker`)." + }, + { + "left": "issue:4456", + "right": "issue:6126", + "accept": false, + "reason": "A LoRA loader `ModuleList` attribute error is unrelated to the VAE `tile_sample_min_size` missing-attribute bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted duplicates are the FP16-unscale LoRA training reports, which all share the exact same error string in the titles, and the other soft-edge rejections appropriately avoid overclaiming based on generic similarity alone. Canonical/best-issue choices are also reasonably supported by the more specific repro context in issue 6482." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 16, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10722", + "issue:11117", + "issue:11435", + "issue:11436", + "issue:11464", + "issue:12609", + "issue:12612", + "issue:12613", + "issue:12666", + "issue:13162", + "issue:13203", + "issue:13221", + "issue:13311", + "issue:1377", + "issue:1444", + "issue:1500", + "issue:1616", + "issue:1991", + "issue:2661", + "issue:2662", + "issue:2669", + "issue:3576", + "issue:3580", + "issue:3627", + "issue:4557", + "issue:4868", + "issue:5022", + "issue:5023", + "issue:5075", + "issue:5399", + "issue:5919", + "issue:6086", + "issue:6442", + "issue:6454", + "issue:6549", + "issue:6880", + "issue:7033", + "issue:7185", + "issue:7799", + "issue:7922", + "issue:7931", + "issue:8589", + "issue:9062", + "issue:9378", + "issue:9403", + "issue:9430", + "issue:9514", + "issue:9895" + ], + "soft_pairs": [ + "issue:2669|issue:5919", + "issue:1991|issue:9895", + "issue:6086|issue:6442", + "issue:11464|issue:9514", + "issue:4557|issue:9430", + "issue:4868|issue:7922", + "issue:6442|issue:6454", + "issue:2661|issue:2662", + "issue:12609|issue:12613", + "issue:12612|issue:12613", + "issue:3576|issue:3580", + "issue:13203|issue:13221", + "issue:13162|issue:13311", + "issue:5022|issue:5023", + "issue:11117|issue:11436", + "issue:1500|issue:1616", + "issue:7799|issue:7931", + "issue:1377|issue:1444", + "issue:3627|issue:6880", + "issue:12666|issue:7185", + "issue:9378|issue:9403", + "issue:10722|issue:8589", + "issue:11435|issue:9062", + "issue:6549|issue:7033", + "issue:5075|issue:5399" + ], + "prepared_review_unit_hash": "5b9d746a761dbf143c9069d8909603ba2676ce29b6950285b0cdc747c51ea847", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34461, + "estimated_input_tokens": 8616, + "estimated_eval_tokens": 17488 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a mix of separate bugs and feature requests, not one large duplicate cluster. The strongest confirmed duplicate groups are the checkpoint-save write errors, FP16 gradient unscale errors, the Wan 2.2 NaN-in-latents reports, the Custom Diffusion retrieve.py reports, and a couple of obvious support-request follow-ups. The DreamBooth prior-preservation pair looks related, but not sufficiently grounded to call a confirmed duplicate from the packet alone: issue:8589 is SD3-specific, while issue:10722 is a broader DreamBooth prior-preservation tensor-size mismatch.", + "confidence": 0.79, + "canonical_issue_reason": "issue:12613 is the strongest single representative in the set: it is the most active open report, has inbound references, and is the most specific description of the Wan 2.2 NaN-in-latent bug.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12613 has the best combination of specificity, discussion activity, and inbound references, so it is the most suitable anchor issue overall.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2669", + "right": "issue:5919", + "accept": false, + "reason": "Both are AttributeErrors, but they point to different missing members (`replace` vs `set_lora_layer`) and likely different code paths." + }, + { + "left": "issue:1991", + "right": "issue:9895", + "accept": false, + "reason": "Same generic device-mismatch wording, but one is Checkpoint Merger and the other is FluxPipeline inference; too different to treat as the same bug." + }, + { + "left": "issue:6086", + "right": "issue:6442", + "accept": true, + "reason": "Same FP16 gradient unscale failure during training; 6086 is just a specific reproduction of the same underlying bug." + }, + { + "left": "issue:11464", + "right": "issue:9514", + "accept": false, + "reason": "Both involve Flux LoRA loading, but the failing conditions differ (ControlPipeline load vs fp8-quantized weight loading), so they are not clearly the same bug." + }, + { + "left": "issue:4557", + "right": "issue:9430", + "accept": false, + "reason": "Both are NoneType attribute errors, but the missing attribute and surrounding context differ, so this is not enough to merge them." + }, + { + "left": "issue:4868", + "right": "issue:7922", + "accept": false, + "reason": "One is a generic `__getattr__` error and the other is a missing exported pipeline symbol; different issues." + }, + { + "left": "issue:6442", + "right": "issue:6454", + "accept": true, + "reason": "These are identical reports of `Attempting to unscale FP16 gradients`, so they are duplicates." + }, + { + "left": "issue:2661", + "right": "issue:2662", + "accept": true, + "reason": "The titles and problem description are effectively the same checkpoint-saving write error." + }, + { + "left": "issue:12609", + "right": "issue:12613", + "accept": true, + "reason": "Same Wan 2.2 NaN-in-latents bug; 12613 is the i2v-specific report of the same underlying failure." + }, + { + "left": "issue:12612", + "right": "issue:12613", + "accept": false, + "reason": "Both are Wan NaN reports, but 12612 is Wan 2.1 while 12613 is Wan 2.2 i2v, so they are likely separate model/version issues." + }, + { + "left": "issue:3576", + "right": "issue:3580", + "accept": false, + "reason": "Both mention XFormers TypeErrors, but one is tied to Textual Inversion and the other is a generic version-specific report; not enough to confirm the same concrete bug." + }, + { + "left": "issue:13203", + "right": "issue:13221", + "accept": true, + "reason": "These are clearly the same Zimage LoRA support request, with the second being an obvious follow-up/duplicate." + }, + { + "left": "issue:13162", + "right": "issue:13311", + "accept": true, + "reason": "Both are about Flux.2-klein LoRA support failing; one is the generic support request and the other is the concrete 9B LoRA-key failure for the same feature gap." + }, + { + "left": "issue:5022", + "right": "issue:5023", + "accept": false, + "reason": "Both are import errors, but they concern different missing symbols and different pipelines, so they are not the same issue." + }, + { + "left": "issue:11117", + "right": "issue:11436", + "accept": false, + "reason": "Both involve dtype mismatch, but one is StableDiffusion3Pipeline and the other is HiDream inference; different models and likely different fixes." + }, + { + "left": "issue:1500", + "right": "issue:1616", + "accept": false, + "reason": "Both are LPW/community pipeline compatibility issues, but they target different diffusers versions and are not clearly the same underlying bug." + }, + { + "left": "issue:7799", + "right": "issue:7931", + "accept": false, + "reason": "Both touch IP-Adapter/inpainting-related paths, but the concrete failures are different (matmul size mismatch vs `ip_adapter_image_embeds` support)." + }, + { + "left": "issue:1377", + "right": "issue:1444", + "accept": false, + "reason": "Both are import errors, but they are for different symbols and unrelated components." + }, + { + "left": "issue:3627", + "right": "issue:6880", + "accept": true, + "reason": "Both point to the same Custom Diffusion `retrieve.py` problem; the second is a shorter duplicate report of the same code path." + }, + { + "left": "issue:12666", + "right": "issue:7185", + "accept": false, + "reason": "One is a missing pipeline in diffusers 0.35.2, the other is a general PyTorch support question; not the same bug or change." + }, + { + "left": "issue:9378", + "right": "issue:9403", + "accept": false, + "reason": "Both are Xlabs support requests, but one is ControlNet and the other is IP-Adapter; different features and different changes." + }, + { + "left": "issue:10722", + "right": "issue:8589", + "accept": false, + "reason": "They are plausibly related DreamBooth prior-preservation reports, but the packet does not ground them as the same confirmed bug: 10722 is a broader tensor-size mismatch, while 8589 is explicitly SD3-specific prior-preservation failure." + }, + { + "left": "issue:11435", + "right": "issue:9062", + "accept": false, + "reason": "Both are missing import symbols, but they are different pipelines and different exported names, so they should stay separate." + }, + { + "left": "issue:6549", + "right": "issue:7033", + "accept": false, + "reason": "Both are warning/logging issues around IP-Adapter, but one is about LoRA weight warnings and the other about attention masking warnings; not the same bug." + }, + { + "left": "issue:5075", + "right": "issue:5399", + "accept": false, + "reason": "Both are matmul/dtype runtime errors, but they occur in different pipelines and with different shapes/cause, so they are not the same concrete issue." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "Mostly conservative, but the summary overstates at least one merge claim. In particular, calling issue:10722 and issue:8589 the same \"SD3 DreamBooth prior-preservation bug\" is not grounded by the packet: 10722\u2019s title only says DreamBooth training with prior preservation, while 8589 is the SD3-specific report. That should be phrased more cautiously as a possible related prior-preservation/DreamBooth issue, not a confirmed duplicate. The rest of the soft-edge verdicts look conservative." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 17, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10180", + "issue:10752", + "issue:10848", + "issue:10963", + "issue:10989", + "issue:11199", + "issue:11283", + "issue:11581", + "issue:11827", + "issue:1255", + "issue:1263", + "issue:12826", + "issue:13124", + "issue:1444", + "issue:1538", + "issue:1611", + "issue:2294", + "issue:2780", + "issue:2908", + "issue:2984", + "issue:2991", + "issue:3140", + "issue:3279", + "issue:3569", + "issue:3638", + "issue:4052", + "issue:4063", + "issue:4069", + "issue:4118", + "issue:4754", + "issue:4969", + "issue:5025", + "issue:5757", + "issue:579", + "issue:6044", + "issue:6098", + "issue:6112", + "issue:6734", + "issue:7221", + "issue:7223", + "issue:7681", + "issue:8320", + "issue:8482", + "issue:8615", + "issue:9527", + "issue:9630", + "issue:9911" + ], + "soft_pairs": [ + "issue:1255|issue:1263", + "issue:10963|issue:1255", + "issue:10963|issue:4969", + "issue:2908|issue:2991", + "issue:13124|issue:2780", + "issue:10026|issue:9630", + "issue:6112|issue:7221", + "issue:4754|issue:579", + "issue:8482|issue:8615", + "issue:2294|issue:3140", + "issue:12826|issue:4969", + "issue:11199|issue:7681", + "issue:11283|issue:11827", + "issue:12826|issue:5025", + "issue:3569|issue:3638", + "issue:10848|issue:11581", + "issue:10180|issue:10989", + "issue:1444|issue:4969", + "issue:1538|issue:1611", + "issue:2984|issue:7223", + "issue:4063|issue:4069", + "issue:4052|issue:4118", + "issue:9527|issue:9911", + "issue:10752|issue:6098", + "issue:4052|issue:8320", + "issue:6044|issue:6734", + "issue:3279|issue:5757" + ], + "prepared_review_unit_hash": "7eb5dfc3057074ecb88c0b835db8e31b5def4eab6f73fcd7f4d657191d158589", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 35251, + "estimated_input_tokens": 8813, + "estimated_eval_tokens": 17882 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not one coherent duplicate cluster; it splits into several unrelated subclusters (FP16 gradient scaling, textual inversion checkpoint handling, from_single_file API regressions, resume-from-checkpoint, ControlNet mixed precision, and many unrelated import/model-loading bugs).", + "confidence": 0.61, + "canonical_issue_reason": "Issue 6098 is the closest representative of the strongest duplicate subcluster (the generic FP16 gradient unscale error), but it does not cover the many unrelated items in this cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "1098? Actually 6098 is the best issue candidate only as a representative of the FP16-gradient family; it is not a true global canonical for the whole set because the rest of the items span different bugs and features.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1255", + "right": "issue:1263", + "accept": false, + "reason": "Both are import-name failures, but for different symbols and different code paths; too broad to be the same bug." + }, + { + "left": "issue:10963", + "right": "issue:1255", + "accept": false, + "reason": "Different missing symbols (`AutoencoderKLWan` vs `DPMSolverMultistepScheduler`); same broad import class, not the same bug." + }, + { + "left": "issue:10963", + "right": "issue:4969", + "accept": false, + "reason": "Different missing exports (`AutoencoderKLWan` vs `CrossAttention`) and likely different regressions." + }, + { + "left": "issue:2908", + "right": "issue:2991", + "accept": true, + "reason": "Both point to ControlNet mixed-precision/training failures in the same example family; plausible duplicate of the same training bug." + }, + { + "left": "issue:13124", + "right": "issue:2780", + "accept": true, + "reason": "Same FP16 unscale failure in LoRA training scripts; 13124 adds a trigger detail but the underlying bug matches." + }, + { + "left": "issue:10026", + "right": "issue:9630", + "accept": false, + "reason": "Both mention Flux ControlNet multi-GPU/single-GPU behavior, but one is a memory complaint and the other is a num_single_layers error; not the same concrete bug." + }, + { + "left": "issue:6112", + "right": "issue:7221", + "accept": false, + "reason": "Both report noisy images, but on different models and likely different causes; too vague to merge." + }, + { + "left": "issue:4754", + "right": "issue:579", + "accept": false, + "reason": "Both involve textual inversion loading, but one is a missing config.json and the other a missing model_index.json; similar area, not clearly the same failure." + }, + { + "left": "issue:8482", + "right": "issue:8615", + "accept": false, + "reason": "One is general SD3 support; the other is a specific fuse_lora feature request. Not the same change." + }, + { + "left": "issue:2294", + "right": "issue:3140", + "accept": false, + "reason": "Both are import errors, but they are for different pipelines and different missing classes." + }, + { + "left": "issue:12826", + "right": "issue:4969", + "accept": false, + "reason": "Different missing exports (`export_to_video` vs `CrossAttention`); same package, not same bug." + }, + { + "left": "issue:11199", + "right": "issue:7681", + "accept": false, + "reason": "Different import failures from different modules and different root causes; not duplicates." + }, + { + "left": "issue:11283", + "right": "issue:11827", + "accept": false, + "reason": "Both are safetensors header errors, but on different models and with different deserialization contexts; not clearly the same underlying bug." + }, + { + "left": "issue:12826", + "right": "issue:5025", + "accept": false, + "reason": "Different missing exports; both import-related but not the same concrete regression." + }, + { + "left": "issue:3569", + "right": "issue:3638", + "accept": false, + "reason": "Distinct new-pipeline proposals, not duplicates." + }, + { + "left": "issue:10848", + "right": "issue:11581", + "accept": false, + "reason": "Both affect IP-Adapter loading, but the errors are different type errors at different layers of the stack." + }, + { + "left": "issue:10180", + "right": "issue:10989", + "accept": false, + "reason": "Both mention Flux Control LoRA loading, but one is multiple-LoRA handling and the other is quantized-transformers failure; different bugs." + }, + { + "left": "issue:1444", + "right": "issue:4969", + "accept": false, + "reason": "Different missing imports from different parts of diffusers; same symptom, not same bug." + }, + { + "left": "issue:1538", + "right": "issue:1611", + "accept": false, + "reason": "Both involve StableDiffusionMegaPipeline, but the affected base models and failure context differ enough that this is not a safe duplicate." + }, + { + "left": "issue:2984", + "right": "issue:7223", + "accept": false, + "reason": "One is a long-video generation research issue and the other is a Latte pipeline proposal; not duplicates." + }, + { + "left": "issue:4063", + "right": "issue:4069", + "accept": true, + "reason": "Near-identical textual inversion unloading reports; same underlying pipeline cleanup bug." + }, + { + "left": "issue:4052", + "right": "issue:4118", + "accept": true, + "reason": "Same `from_single_file` attribute-missing regression, with 4118 being a specific instance of the same failure." + }, + { + "left": "issue:9527", + "right": "issue:9911", + "accept": false, + "reason": "Different Flux/ControlNet dtype and layer-length problems; same subsystem, different bugs." + }, + { + "left": "issue:10752", + "right": "issue:6098", + "accept": true, + "reason": "Both are the same FP16 gradient unscale error in training; one is the generic report and the other a specific instance." + }, + { + "left": "issue:4052", + "right": "issue:8320", + "accept": true, + "reason": "Both report the `from_single_file`/`AutoencoderKL` attribute regression; same core issue." + }, + { + "left": "issue:6044", + "right": "issue:6734", + "accept": false, + "reason": "Different runtime attribute failures in different pipeline stages; not the same underlying bug." + }, + { + "left": "issue:3279", + "right": "issue:5757", + "accept": true, + "reason": "Both are resume-from-checkpoint failures in DreamBooth LoRA training scripts; same family of bug and plausibly one fix." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative about the cluster being a mix of several unrelated subclusters. The accepted soft-edge pairs are mostly well-supported by the titles alone and are phrased cautiously enough (same error family / plausible same fix) rather than as certain duplicates." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 18, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10066", + "issue:10591", + "issue:10752", + "issue:1082", + "issue:1100", + "issue:11014", + "issue:11410", + "issue:12047", + "issue:12097", + "issue:12147", + "issue:1255", + "issue:1260", + "issue:1263", + "issue:13087", + "issue:13124", + "issue:13258", + "issue:1444", + "issue:1478", + "issue:1842", + "issue:1946", + "issue:2044", + "issue:2132", + "issue:2294", + "issue:2780", + "issue:2947", + "issue:3728", + "issue:3884", + "issue:4483", + "issue:4542", + "issue:4619", + "issue:4724", + "issue:4872", + "issue:5897", + "issue:6044", + "issue:6363", + "issue:6454", + "issue:6697", + "issue:6879", + "issue:7133", + "issue:7210", + "issue:8414", + "issue:852", + "issue:8534", + "issue:859", + "issue:8975", + "issue:9062", + "issue:9841" + ], + "soft_pairs": [ + "issue:2947|issue:6044", + "issue:4619|issue:6879", + "issue:12047|issue:12147", + "issue:12097|issue:13258", + "issue:1478|issue:4542", + "issue:8975|issue:9062", + "issue:11014|issue:4872", + "issue:3884|issue:5897", + "issue:10752|issue:2780", + "issue:13124|issue:6454", + "issue:1842|issue:859", + "issue:1100|issue:7210", + "issue:852|issue:859", + "issue:1263|issue:1444", + "issue:7133|issue:9841", + "issue:4483|issue:4724", + "issue:1255|issue:13087", + "issue:10066|issue:11410", + "issue:1082|issue:1946", + "issue:1260|issue:9062", + "issue:10591|issue:8534", + "issue:2044|issue:2132", + "issue:13124|issue:6363", + "issue:4872|issue:6697", + "issue:3728|issue:8414", + "issue:1260|issue:2294" + ], + "prepared_review_unit_hash": "d090371b5659ed12d1a5755ad81e5d12274f1d979dbed6fd449134cbe88cc290", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 34495, + "estimated_input_tokens": 8624, + "estimated_eval_tokens": 17504 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous overall, but it contains a few clear duplicate subgroups: the DPMSolverMultistepScheduler import error, the StableDiffusionSafetyChecker import error, and several near-identical FP16 unscale training failures. Most other soft pairs are only superficially similar and should stay separate.", + "confidence": 0.78, + "canonical_issue_reason": "Issue #6454 is the cleanest canonical representative of the repeated 'Attempting to unscale FP16 gradients' training failure family: it is concise, generic, and matches the shared root error seen across the other LoRA/dreambooth reports.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #6454 is the best single issue to anchor the FP16-unscale duplicate set because its title is the most canonical and broadest expression of the underlying bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2947", + "right": "issue:6044", + "accept": false, + "reason": "Different failures: one is missing load_attn_procs on UNet2DConditionModel, the other missing do_classifier_free_guidance on StableDiffusionImg2ImgPipeline." + }, + { + "left": "issue:4619", + "right": "issue:6879", + "accept": false, + "reason": "Both are dtype-related, but they are different concrete errors in different scripts and code paths." + }, + { + "left": "issue:12047", + "right": "issue:12147", + "accept": false, + "reason": "Both mention Wan2.2/LoRA, but one is a GGUF fusion failure and the other is a Lightning LoRA loading failure; not the same bug." + }, + { + "left": "issue:12097", + "right": "issue:13258", + "accept": false, + "reason": "Both are Wan2.2 VRAM/missing-model reports, but one is TI2V OOM and the other is an image-to-video missing-model issue." + }, + { + "left": "issue:1478", + "right": "issue:4542", + "accept": false, + "reason": "Both concern multi-image output limits, but they are different pipelines and not clearly the same defect." + }, + { + "left": "issue:8975", + "right": "issue:9062", + "accept": false, + "reason": "Different import failures for different symbols: LoraLoaderMixin vs StableAudioPipeline." + }, + { + "left": "issue:11014", + "right": "issue:4872", + "accept": false, + "reason": "Both are OOM reports, but from different model/training contexts and not the same underlying bug." + }, + { + "left": "issue:3884", + "right": "issue:5897", + "accept": false, + "reason": "These are different training failures; one is generic train_text_to_image_lora.py error and the other is a device-mismatch error." + }, + { + "left": "issue:10752", + "right": "issue:2780", + "accept": true, + "reason": "Same underlying FP16 gradient unscale failure in LoRA training; titles differ only in wording and script context." + }, + { + "left": "issue:13124", + "right": "issue:6454", + "accept": true, + "reason": "Same FP16 unscale error family; #13124 is a specific trigger variant of the generic #6454 bug." + }, + { + "left": "issue:1842", + "right": "issue:859", + "accept": false, + "reason": "Similar 'unexpected keyword' wording, but one is eta and the other is device_map; not the same issue." + }, + { + "left": "issue:1100", + "right": "issue:7210", + "accept": false, + "reason": "Different attribute errors on different objects: CLIPTextTransformer.device vs StableDiffusionXLPipeline.named_parameters." + }, + { + "left": "issue:852", + "right": "issue:859", + "accept": false, + "reason": "Both mention device_map, but one is an MPS crash and the other is a constructor TypeError; not enough evidence of the same bug." + }, + { + "left": "issue:1263", + "right": "issue:1444", + "accept": true, + "reason": "Same StableDiffusionSafetyChecker import error, essentially duplicate reports of the same missing symbol." + }, + { + "left": "issue:7133", + "right": "issue:9841", + "accept": false, + "reason": "Both are SDXL DreamBooth LoRA training problems, but one is a resume size mismatch and the other is a use_dora TypeError." + }, + { + "left": "issue:4483", + "right": "issue:4724", + "accept": false, + "reason": "Both involve SDXL img2img behavior, but one is nondeterministic generator output and the other is checkpoint-specific multi-image handling." + }, + { + "left": "issue:1255", + "right": "issue:13087", + "accept": false, + "reason": "Different missing symbols from diffusers; these are unrelated import failures." + }, + { + "left": "issue:10066", + "right": "issue:11410", + "accept": false, + "reason": "Both are attention_processor unpacking errors, but the expected tuple arity differs and the concrete failures do not match." + }, + { + "left": "issue:1082", + "right": "issue:1946", + "accept": false, + "reason": "Both are CUDA/xformers-related crashes, but one is cublasLtMatmul execution failure and the other is invalid argument under xformers." + }, + { + "left": "issue:1260", + "right": "issue:9062", + "accept": false, + "reason": "Both are import errors, but they concern different exported classes and different modules." + }, + { + "left": "issue:10591", + "right": "issue:8534", + "accept": false, + "reason": "Different SD3 training-script bugs: one is a vague lora script problem and the other is wrong logit-normal weighting." + }, + { + "left": "issue:2044", + "right": "issue:2132", + "accept": false, + "reason": "Different object attribute errors in different training setups: DistributedDataParallel.dtype vs Accelerator.trackers." + }, + { + "left": "issue:13124", + "right": "issue:6363", + "accept": true, + "reason": "Same FP16 unscale gradient error in LoRA-style training scripts; likely the same underlying AMP/accelerate bug." + }, + { + "left": "issue:4872", + "right": "issue:6697", + "accept": false, + "reason": "Both are OOM reports, but they reference different SDXL finetuning scenarios and are not the same concrete failure." + }, + { + "left": "issue:3728", + "right": "issue:8414", + "accept": false, + "reason": "Completely different model proposals: text-to-image vs text-to-audio new model requests." + }, + { + "left": "issue:1260", + "right": "issue:2294", + "accept": false, + "reason": "Different missing import symbols from diffusers; not the same issue." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft edges. The accepted duplicates are well-supported by near-identical titles and the packet\u2019s own similarity signals, and the rejected pairs are mostly cautious rather than overstated. No mergeability concerns apply since this is an issue-pair cluster rather than a PR pair." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 19, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10066", + "issue:10453", + "issue:10860", + "issue:10963", + "issue:11790", + "issue:12096", + "issue:12141", + "issue:12492", + "issue:1255", + "issue:1260", + "issue:1263", + "issue:13124", + "issue:1572", + "issue:1614", + "issue:1734", + "issue:1976", + "issue:2296", + "issue:246", + "issue:2947", + "issue:2984", + "issue:3420", + "issue:3812", + "issue:409", + "issue:4241", + "issue:4446", + "issue:4615", + "issue:4911", + "issue:5016", + "issue:5197", + "issue:5594", + "issue:6435", + "issue:6446", + "issue:6482", + "issue:6636", + "issue:6894", + "issue:7041", + "issue:7049", + "issue:7333", + "issue:7516", + "issue:7766", + "issue:7940", + "issue:8817", + "issue:9051", + "issue:9062", + "issue:9396", + "issue:9534", + "issue:9889" + ], + "soft_pairs": [ + "issue:1572|issue:3420", + "issue:10963|issue:4615", + "issue:246|issue:409", + "issue:10963|issue:1263", + "issue:10066|issue:7049", + "issue:1255|issue:6636", + "issue:7766|issue:8817", + "issue:3812|issue:6435", + "issue:12096|issue:12141", + "issue:10453|issue:9051", + "issue:1260|issue:4615", + "issue:4446|issue:4911", + "issue:7940|issue:9396", + "issue:12492|issue:7516", + "issue:1976|issue:2296", + "issue:5016|issue:6894", + "issue:2984|issue:7333", + "issue:13124|issue:6482", + "issue:4241|issue:5594", + "issue:7041|issue:9889", + "issue:10860|issue:11790", + "issue:2947|issue:9534", + "issue:1734|issue:5197", + "issue:1614|issue:6446", + "issue:4615|issue:9062" + ], + "prepared_review_unit_hash": "5a17d63c5e72a3037073ef5f378df2272fd10a1e12213bd9d20f5405bdecfa01", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33870, + "estimated_input_tokens": 8468, + "estimated_eval_tokens": 17192 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issues across different pipelines/features; only the custom text_encoder/from_single_file reports look like a true duplicate pair.", + "confidence": 0.78, + "canonical_issue_reason": "Issue 4446 is the clearest, most specific representative of the shared `StableDiffusionPipeline.from_single_file` custom text_encoder loading bug, with 4911 as its duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4446 is the best anchor for the cluster because it most directly states the concrete failure mode and matches the only strong duplicate pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1572", + "right": "issue:3420", + "accept": false, + "reason": "Both are pipeline/inpainting-related, but they describe different pipelines and behaviors; not the same bug." + }, + { + "left": "issue:10963", + "right": "issue:4615", + "accept": false, + "reason": "Different missing imports (`AutoencoderKLWan` vs `StableDiffusionControlnetPipeline`) and different code paths." + }, + { + "left": "issue:246", + "right": "issue:409", + "accept": false, + "reason": "Different API breakages on different objects (`FeatureExtractionMixin` vs `enable_attention_slicing`)." + }, + { + "left": "issue:10963", + "right": "issue:1263", + "accept": false, + "reason": "Both are import errors, but for unrelated symbols and modules." + }, + { + "left": "issue:10066", + "right": "issue:7049", + "accept": false, + "reason": "Both mention unpacking errors, but the expected arity and feature area differ; likely separate bugs." + }, + { + "left": "issue:1255", + "right": "issue:6636", + "accept": false, + "reason": "Different import failures with different missing names; no clear shared root cause." + }, + { + "left": "issue:7766", + "right": "issue:8817", + "accept": false, + "reason": "One is a how-to/support question and the other a specific FaceID usage bug; not the same underlying issue." + }, + { + "left": "issue:3812", + "right": "issue:6435", + "accept": false, + "reason": "Both involve ControlNet, but one is config loading and the other default size initialization; different defects." + }, + { + "left": "issue:12096", + "right": "issue:12141", + "accept": false, + "reason": "Same pipeline, but different incompatibilities (`apply_group_offloading` vs bf16/fp16 VAE) and not clearly the same bug." + }, + { + "left": "issue:10453", + "right": "issue:9051", + "accept": false, + "reason": "Both are batch-size limitations, but on different pipelines/models and likely separate implementation gaps." + }, + { + "left": "issue:1260", + "right": "issue:4615", + "accept": false, + "reason": "Different missing imports from `diffusers`; unrelated symbols." + }, + { + "left": "issue:4446", + "right": "issue:4911", + "accept": true, + "reason": "Same `from_single_file` custom text_encoder loading failure with essentially the same symptom and workflow." + }, + { + "left": "issue:7940", + "right": "issue:9396", + "accept": false, + "reason": "Both are Korean docs translation tasks, but they target different scopes and are not the same change." + }, + { + "left": "issue:12492", + "right": "issue:7516", + "accept": false, + "reason": "Different missing attributes in different libraries/classes; no shared concrete bug." + }, + { + "left": "issue:1976", + "right": "issue:2296", + "accept": false, + "reason": "Completely different issues: tokenizer path resolution vs xformers attention support." + }, + { + "left": "issue:5016", + "right": "issue:6894", + "accept": false, + "reason": "Both are LoRA-related, but one is training text encoders and the other is A1111 compatibility; not the same bug." + }, + { + "left": "issue:2984", + "right": "issue:7333", + "accept": false, + "reason": "Different research/feature requests for different video-generation papers." + }, + { + "left": "issue:13124", + "right": "issue:6482", + "accept": false, + "reason": "Same family of training errors, but different scripts and triggers (`validation_prompt` vs `resume_from_checkpoint`), so not clearly one bug." + }, + { + "left": "issue:4241", + "right": "issue:5594", + "accept": false, + "reason": "Both are about LoRA/fine-tuning, but one is a feature request and the other is memory usage; unrelated." + }, + { + "left": "issue:7041", + "right": "issue:9889", + "accept": false, + "reason": "Both are segfaults, but on different models and runtime conditions; not the same concrete failure." + }, + { + "left": "issue:10860", + "right": "issue:11790", + "accept": false, + "reason": "Both concern LoRA portability, but different training scripts and destination tools; too broad to treat as duplicates." + }, + { + "left": "issue:2947", + "right": "issue:9534", + "accept": false, + "reason": "Different attribute errors on different model classes and methods." + }, + { + "left": "issue:1734", + "right": "issue:5197", + "accept": false, + "reason": "Both mention multi-GPU slowness, but they cover different training setups and likely different performance causes." + }, + { + "left": "issue:1614", + "right": "issue:6446", + "accept": false, + "reason": "Different symptoms and contexts: black output with autocast vs model not loading on Colab." + }, + { + "left": "issue:4615", + "right": "issue:9062", + "accept": false, + "reason": "Different missing pipeline imports (`StableDiffusionControlnetPipeline` vs `StableAudioPipeline`)." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The cluster summary is well grounded in the packet. The canonical choice of issue 4446 is supported by the near-identical duplicate pair with 4911, and the other soft-edge pairs are handled conservatively without overclaiming duplicates from title-level similarity alone." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 20, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1013", + "issue:10436", + "issue:10752", + "issue:1100", + "issue:11033", + "issue:11853", + "issue:12195", + "issue:1246", + "issue:12529", + "issue:1255", + "issue:1315", + "issue:13258", + "issue:1377", + "issue:1611", + "issue:1925", + "issue:1946", + "issue:1988", + "issue:2947", + "issue:3094", + "issue:3140", + "issue:3382", + "issue:4186", + "issue:4213", + "issue:4615", + "issue:4724", + "issue:4736", + "issue:4969", + "issue:5246", + "issue:5563", + "issue:5873", + "issue:6124", + "issue:6146", + "issue:6298", + "issue:6454", + "issue:6697", + "issue:7114", + "issue:7146", + "issue:7185", + "issue:7210", + "issue:7228", + "issue:7854", + "issue:858", + "issue:9421", + "issue:9497", + "issue:9534", + "issue:9790", + "issue:9841", + "issue:9970" + ], + "soft_pairs": [ + "issue:1946|issue:3382", + "issue:5563|issue:9841", + "issue:10436|issue:9421", + "issue:1925|issue:4186", + "issue:3382|issue:6146", + "issue:1013|issue:1611", + "issue:9497|issue:9790", + "issue:5563|issue:9970", + "issue:1255|issue:4615", + "issue:1988|issue:7854", + "issue:5873|issue:7185", + "issue:3094|issue:4736", + "issue:11033|issue:4213", + "issue:2947|issue:7228", + "issue:1377|issue:4969", + "issue:6298|issue:7210", + "issue:1100|issue:9534", + "issue:12195|issue:5246", + "issue:12529|issue:13258", + "issue:3094|issue:6697", + "issue:11853|issue:4724", + "issue:1315|issue:3140", + "issue:7210|issue:858", + "issue:1246|issue:6454", + "issue:10752|issue:6124", + "issue:7114|issue:7146" + ], + "prepared_review_unit_hash": "9f558457adadd223a251686f288c6a73f3b77ec2e03252fa52b29dd9e7c1a879", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 35032, + "estimated_input_tokens": 8758, + "estimated_eval_tokens": 17772 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a mix of training/runtime errors across diffusers examples. Only a small subset are true duplicates: the FP16 unscale gradient errors, the stable-diffusion-inpainting access issue, the StableDiffusionMegaPipeline regression, the input/bias dtype mismatch, and the SDXL text-to-image OOM pair. Most other pairs are only broad-topic similar and should remain separate.", + "confidence": 0.78, + "canonical_issue_reason": "issue:6454 is the cleanest, most generic representation of the repeated FP16 unscale gradient failure; other related items are either older example-specific reports or near-verbatim variants of the same error.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6454 is the best cluster anchor because it states the core bug plainly and is broad enough to represent the repeated fp16-gradient symptom without tying it to one notebook or example.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1946", + "right": "issue:3382", + "accept": false, + "reason": "Different failures: xformers CUDA invalid-argument vs multi-GPU OOM. Same training area, not the same bug." + }, + { + "left": "issue:5563", + "right": "issue:9841", + "accept": false, + "reason": "Both are DreamBooth/LoRA training problems, but one is a broad error report and the other is a specific TypeError around use_dora=False; not clearly the same underlying defect." + }, + { + "left": "issue:10436", + "right": "issue:9421", + "accept": true, + "reason": "Both report inability to load/access runwayml/stable-diffusion-inpainting, appearing to be the same model-loading/access issue." + }, + { + "left": "issue:1925", + "right": "issue:4186", + "accept": false, + "reason": "Inpainting half-precision issue vs SDXL inpaint with refiner; different model paths and symptoms." + }, + { + "left": "issue:3382", + "right": "issue:6146", + "accept": false, + "reason": "Both involve training, but one is a text-to-image OOM and the other is a multi-GPU DreamBooth LoRA setup issue; not the same concrete bug." + }, + { + "left": "issue:1013", + "right": "issue:1611", + "accept": true, + "reason": "Same StableDiffusionMegaPipeline regression across Diffusers 0.6.0 / v0.6.0 with the SD 1.5 pipeline." + }, + { + "left": "issue:9497", + "right": "issue:9790", + "accept": false, + "reason": "Both are FLUX DreamBooth training issues, but the concrete errors differ (mat2 1-D tensor vs multigpu training problem)." + }, + { + "left": "issue:5563", + "right": "issue:9970", + "accept": false, + "reason": "Both are broad DreamBooth SDXL LoRA failures, but the titles do not identify the same concrete code-path bug." + }, + { + "left": "issue:1255", + "right": "issue:4615", + "accept": false, + "reason": "Different missing imports: DPMSolverMultistepScheduler vs StableDiffusionControlnetPipeline." + }, + { + "left": "issue:1988", + "right": "issue:7854", + "accept": true, + "reason": "Same runtime dtype mismatch: input type half/c10::Half versus float bias type during training." + }, + { + "left": "issue:5873", + "right": "issue:7185", + "accept": false, + "reason": "ONNX export operator support problem vs a general PyTorch version-compatibility question; not the same bug." + }, + { + "left": "issue:3094", + "right": "issue:4736", + "accept": false, + "reason": "Both mention OOM, but they are different scripts/examples and one also has an invalid-value-cast issue." + }, + { + "left": "issue:11033", + "right": "issue:4213", + "accept": false, + "reason": "Different loading scenarios and model families: SD1.5 single-file UNet loading vs SDXL from_single_file without accelerate." + }, + { + "left": "issue:2947", + "right": "issue:7228", + "accept": false, + "reason": "UNet load_attn_procs missing vs traced model missing dtype; unrelated attribute errors." + }, + { + "left": "issue:1377", + "right": "issue:4969", + "accept": false, + "reason": "Different import failures from different symbols: CLIPVisionModelWithProjection vs CrossAttention." + }, + { + "left": "issue:6298", + "right": "issue:7210", + "accept": false, + "reason": "GLIGEN CLIPImageProjection attribute error vs accelerate load_checkpoint_and_dispatch named_parameters issue; different code paths." + }, + { + "left": "issue:1100", + "right": "issue:9534", + "accept": false, + "reason": "CLIPTextTransformer missing device vs FluxMultiControlNetModel missing config; unrelated attribute errors." + }, + { + "left": "issue:12195", + "right": "issue:5246", + "accept": false, + "reason": "AutoencoderKL/PyTorch custom_op compatibility error vs missing CLIPImageProjection attribute." + }, + { + "left": "issue:12529", + "right": "issue:13258", + "accept": false, + "reason": "A tiled-VAE tensor mismatch in Wan2.2 TI2V-5B is not the same as the model being missing." + }, + { + "left": "issue:3094", + "right": "issue:6697", + "accept": false, + "reason": "Both are OOM reports, but they affect different training scripts and likely different resource conditions." + }, + { + "left": "issue:11853", + "right": "issue:4724", + "accept": false, + "reason": "ControlNet+IP-Adapter latent size conflict vs SDXL img2img/refiner behavior; not the same underlying bug." + }, + { + "left": "issue:1315", + "right": "issue:3140", + "accept": false, + "reason": "Different import errors involving different missing symbols." + }, + { + "left": "issue:7210", + "right": "issue:858", + "accept": false, + "reason": "Both are attribute errors, but the missing attributes and affected objects are unrelated." + }, + { + "left": "issue:1246", + "right": "issue:6454", + "accept": true, + "reason": "Same FP16 gradient unscale error; 1246 is an older example-specific report of the same bug." + }, + { + "left": "issue:10752", + "right": "issue:6124", + "accept": true, + "reason": "Near-verbatim duplicate: both are the same FP16 unscale gradient failure." + }, + { + "left": "issue:7114", + "right": "issue:7146", + "accept": true, + "reason": "Same SDXL text-to-image training OOM on the same script; titles describe the same underlying resource exhaustion." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The accepted soft-edge pairs all look plausibly duplicate/same-bug based on the titles and issue descriptions, and the rejected pairs are framed cautiously without overclaiming. The canonical anchor choice of issue:6454 is also well supported as the clearest generic FP16-unscale report." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 21, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10436", + "issue:10722", + "issue:10969", + "issue:1100", + "issue:11033", + "issue:11104", + "issue:11143", + "issue:12009", + "issue:12195", + "issue:1255", + "issue:12826", + "issue:13087", + "issue:1444", + "issue:1988", + "issue:3816", + "issue:4052", + "issue:4086", + "issue:4118", + "issue:4448", + "issue:4615", + "issue:4724", + "issue:4736", + "issue:4848", + "issue:5510", + "issue:5565", + "issue:5603", + "issue:5607", + "issue:5960", + "issue:6044", + "issue:6101", + "issue:6131", + "issue:6415", + "issue:6446", + "issue:6570", + "issue:6598", + "issue:7432", + "issue:7506", + "issue:7666", + "issue:7681", + "issue:7708", + "issue:8537", + "issue:8826", + "issue:9111", + "issue:9171", + "issue:9841", + "issue:989", + "issue:993", + "issue:9970" + ], + "soft_pairs": [ + "issue:1988|issue:5510", + "issue:1100|issue:9111", + "issue:11104|issue:11143", + "issue:10722|issue:6570", + "issue:9841|issue:9970", + "issue:1444|issue:4615", + "issue:3816|issue:7681", + "issue:12009|issue:7506", + "issue:6598|issue:7432", + "issue:4052|issue:8537", + "issue:10969|issue:989", + "issue:12195|issue:4118", + "issue:4086|issue:7708", + "issue:5607|issue:8826", + "issue:5565|issue:9970", + "issue:6131|issue:6415", + "issue:11033|issue:9171", + "issue:4448|issue:6101", + "issue:1255|issue:12826", + "issue:13087|issue:5603", + "issue:10436|issue:6446", + "issue:1100|issue:6044", + "issue:4736|issue:5960", + "issue:4848|issue:7666", + "issue:4724|issue:993" + ], + "prepared_review_unit_hash": "48cdfcd7a60bab4c1eea7b139b90fb1c951cdb6d18c654882389aa91f7ae69e2", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 35132, + "estimated_input_tokens": 8783, + "estimated_eval_tokens": 17822 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the soft pairs are mostly superficial text similarities, not the same underlying bug or change. I rejected all candidate merges.", + "confidence": 0.93, + "canonical_issue_reason": "No strong canonical issue exists because the items span unrelated imports, loading failures, training errors, and video/pipeline problems. If forced, issue 11033 is the clearest concrete bug report, but it is not a true duplicate hub.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11033 is the most concrete and well-scoped report in the set; most others are either broader symptom reports or unrelated subsystems.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1988", + "right": "issue:5510", + "accept": false, + "reason": "Both are runtime shape/type failures, but they affect different pipelines and code paths: trainer image generation vs SDXL InstructPix2Pix." + }, + { + "left": "issue:1100", + "right": "issue:9111", + "accept": false, + "reason": "Completely different problems: a missing device attribute on CLIPTextTransformer versus BitDiffusion lacking a scheduler attribute." + }, + { + "left": "issue:11104", + "right": "issue:11143", + "accept": false, + "reason": "Same project/version, but different issues: broken offload methods versus poor generated video quality." + }, + { + "left": "issue:10722", + "right": "issue:6570", + "accept": false, + "reason": "Different training scenarios and failures: DreamBooth prior-preservation tensor mismatch versus SDXL InstructPix2Pix tensor mismatch." + }, + { + "left": "issue:9841", + "right": "issue:9970", + "accept": false, + "reason": "Both involve DreamBooth SDXL LoRA, but the reported failures are different and do not clearly point to one shared bug." + }, + { + "left": "issue:1444", + "right": "issue:4615", + "accept": false, + "reason": "Different missing imports in different modules: StableDiffusionSafetyChecker versus StableDiffusionControlnetPipeline." + }, + { + "left": "issue:3816", + "right": "issue:7681", + "accept": false, + "reason": "Unrelated import failures: missing CLIPImageProcessor versus an OpenSSL/lib import error during diffusers import." + }, + { + "left": "issue:12009", + "right": "issue:7506", + "accept": false, + "reason": "Both mention meta-tensor copy problems, but they involve different models, loaders, and checkpoint formats." + }, + { + "left": "issue:6598", + "right": "issue:7432", + "accept": false, + "reason": "Both compare Diffusers output to WebUI, but one is generic img2img inconsistency and the other is a broader image-quality complaint." + }, + { + "left": "issue:4052", + "right": "issue:8537", + "accept": false, + "reason": "Different failures: missing from_single_file support versus a missing torch float8 attribute in SD3 loading." + }, + { + "left": "issue:10969", + "right": "issue:989", + "accept": false, + "reason": "The same generic error string is not enough; the training context and concrete failure path differ." + }, + { + "left": "issue:12195", + "right": "issue:4118", + "accept": false, + "reason": "Both touch AutoencoderKL, but one is a torch 2.3.1 custom_op incompatibility and the other is a missing from_single_file method." + }, + { + "left": "issue:4086", + "right": "issue:7708", + "accept": false, + "reason": "Different problems in different stages: ControlNet training failure versus a missing tokenizer/config file for SDXL loading." + }, + { + "left": "issue:5607", + "right": "issue:8826", + "accept": false, + "reason": "These are different tensor-list failures: size mismatch versus an empty tensor list." + }, + { + "left": "issue:5565", + "right": "issue:9970", + "accept": false, + "reason": "Both mention DreamBooth LoRA scripts, but the specific failures and likely causes are not shown to be the same." + }, + { + "left": "issue:6131", + "right": "issue:6415", + "accept": false, + "reason": "Related IP-Adapter area, but one is a generic not-working report and the other is explicit FaceID/FaceID-plus support scope." + }, + { + "left": "issue:11033", + "right": "issue:9171", + "accept": false, + "reason": "Both involve from_single_file on SD1.5, but one is a UNet loading failure and the other is a v_prediction regression." + }, + { + "left": "issue:4448", + "right": "issue:6101", + "accept": false, + "reason": "Both compare against A1111, but they concern different pipelines and different quality symptoms." + }, + { + "left": "issue:1255", + "right": "issue:12826", + "accept": false, + "reason": "Completely different import errors for different symbols: DPMSolverMultistepScheduler versus export_to_video." + }, + { + "left": "issue:13087", + "right": "issue:5603", + "accept": false, + "reason": "Different missing imports in unrelated API surfaces: Flux2KleinPipeline versus is_safetensors_available." + }, + { + "left": "issue:10436", + "right": "issue:6446", + "accept": false, + "reason": "Both are model-loading problems, but they target different checkpoints and loading modes." + }, + { + "left": "issue:1100", + "right": "issue:6044", + "accept": false, + "reason": "Different attribute errors in different classes: CLIPTextTransformer.device versus StableDiffusionImg2ImgPipeline.do_classifier_free_guidance." + }, + { + "left": "issue:4736", + "right": "issue:5960", + "accept": false, + "reason": "Both mention ControlNet/SDXL training and casting warnings, but one is a LoRA training OOM/cast issue and the other is a specific invalid-cast warning." + }, + { + "left": "issue:4848", + "right": "issue:7666", + "accept": false, + "reason": "Both mention lpw/SDXL/custom pipeline, but one is a general failure and the other is specifically from_single_file support." + }, + { + "left": "issue:4724", + "right": "issue:993", + "accept": false, + "reason": "Different symptoms and contexts: SDXL img2img behavior versus a generic fp16 dtype mismatch." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 22, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10472", + "issue:10839", + "issue:1260", + "issue:13087", + "issue:1315", + "issue:1444", + "issue:1500", + "issue:1604", + "issue:1709", + "issue:2044", + "issue:2294", + "issue:2548", + "issue:2780", + "issue:3325", + "issue:3565", + "issue:3639", + "issue:3728", + "issue:3787", + "issue:3788", + "issue:3973", + "issue:4186", + "issue:4206", + "issue:4529", + "issue:4615", + "issue:5029", + "issue:5374", + "issue:5563", + "issue:5661", + "issue:5894", + "issue:5897", + "issue:5972", + "issue:6044", + "issue:6230", + "issue:6277", + "issue:6734", + "issue:6967", + "issue:7002", + "issue:7146", + "issue:7483", + "issue:7708", + "issue:861", + "issue:9062", + "issue:9111", + "issue:9237", + "issue:945", + "issue:9962", + "issue:9970", + "issue:9973" + ], + "soft_pairs": [ + "issue:5029|issue:6734", + "issue:5563|issue:9973", + "issue:1709|issue:6044", + "issue:3325|issue:7146", + "issue:2294|issue:9062", + "issue:3639|issue:3728", + "issue:1260|issue:3787", + "issue:5894|issue:7002", + "issue:6967|issue:9970", + "issue:1315|issue:1444", + "issue:1500|issue:1604", + "issue:10472|issue:2548", + "issue:2780|issue:6277", + "issue:4529|issue:9962", + "issue:13087|issue:4615", + "issue:2044|issue:9111", + "issue:861|issue:945", + "issue:5661|issue:7483", + "issue:3973|issue:5374", + "issue:4206|issue:5972", + "issue:3639|issue:3788", + "issue:3325|issue:5897", + "issue:10839|issue:9237", + "issue:4186|issue:7708", + "issue:3565|issue:6230" + ], + "prepared_review_unit_hash": "fecb8b2ba4b0e0de3a6f755c0880ed7e646cd07431b0134664d77f3cb774c460", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34631, + "estimated_input_tokens": 8658, + "estimated_eval_tokens": 17572 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose grouping of Diffusers LoRA/DreamBooth/import/runtime error reports, not true duplicates. The only clear commonality is the training/inference LoRA theme, but the concrete failures differ by API, pipeline, version, or model family.", + "confidence": 0.91, + "canonical_issue_reason": "Issue #10472 is the most specific LoRA-related bug report in the set and is a better representative than the broader training-error reports, but it is not a duplicate of most others.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #10472 is the strongest single issue to anchor the cluster because it names a concrete LoRA API incompatibility (`lora_bias`) and is clearly about the same general area as several other LoRA reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5029", + "right": "issue:6734", + "accept": false, + "reason": "Both are runtime attribute errors, but they involve different objects (`AutoencoderTinyOutput` vs tokenizer-related failure) and different code paths." + }, + { + "left": "issue:5563", + "right": "issue:9973", + "accept": false, + "reason": "Both mention DreamBooth/LoRA training, but one is a generic SDXL DreamBooth LoRA failure and the other is specifically an FP16 unscale error in a different script path." + }, + { + "left": "issue:1709", + "right": "issue:6044", + "accept": false, + "reason": "Different failures in different pipelines: ONNX img2img `astype` error vs `StableDiffusionImg2ImgPipeline` missing `do_classifier_free_guidance`." + }, + { + "left": "issue:3325", + "right": "issue:7146", + "accept": false, + "reason": "Both are training crashes, but one is a CUDA invalid-argument error and the other is an SDXL CUDA OOM; not the same bug." + }, + { + "left": "issue:2294", + "right": "issue:9062", + "accept": false, + "reason": "Both are import errors, but they refer to different missing pipelines (`StableDiffusionVideoInpaintPipeline` vs `StableAudioPipeline`)." + }, + { + "left": "issue:3639", + "right": "issue:3728", + "accept": false, + "reason": "Both are new pipeline requests, not the same pipeline or bug." + }, + { + "left": "issue:1260", + "right": "issue:3787", + "accept": false, + "reason": "Both are import failures, but one is a missing scheduler symbol and the other is a partially initialized-module import cycle." + }, + { + "left": "issue:5894", + "right": "issue:7002", + "accept": false, + "reason": "Both mention invalid buffer size, but the contexts are different and the second is explicitly tied to `StableDiffusionImg2ImgPipeline`." + }, + { + "left": "issue:6967", + "right": "issue:9970", + "accept": false, + "reason": "Both concern SDXL DreamBooth LoRA training, but one is a prior-preservation shape mismatch and the other is a generic training failure." + }, + { + "left": "issue:1315", + "right": "issue:1444", + "accept": false, + "reason": "Both are import errors from `diffusers`, but they are unrelated symbols (`PIL_INTERPOLATION` vs `StableDiffusionSafetyChecker`)." + }, + { + "left": "issue:1500", + "right": "issue:1604", + "accept": false, + "reason": "Same community pipeline file, but different reported compatibility versions and likely different breakage triggers." + }, + { + "left": "issue:10472", + "right": "issue:2548", + "accept": false, + "reason": "Both are LoRA-related, but one is an inference-time unexpected `lora_bias` kwarg and the other is a saving error during fine-tuning; different failure modes." + }, + { + "left": "issue:2780", + "right": "issue:6277", + "accept": false, + "reason": "Both involve LoRA training gradients, but one is FP16 unscale in a specific example and the other is only a vague broken-gradients report." + }, + { + "left": "issue:4529", + "right": "issue:9962", + "accept": false, + "reason": "Both are unexpected keyword arguments, but the keywords differ (`network_alpha` vs `use_cuda_graph`) and they affect different call sites." + }, + { + "left": "issue:13087", + "right": "issue:4615", + "accept": false, + "reason": "Both are missing imports of pipelines, but they are completely different pipeline classes." + }, + { + "left": "issue:2044", + "right": "issue:9111", + "accept": false, + "reason": "Different attribute errors on different objects (`DistributedDataParallel.dtype` vs `BitDiffusion.scheduler`)." + }, + { + "left": "issue:861", + "right": "issue:945", + "accept": false, + "reason": "These are both conversion-related, but one is ckpt-to-diffusers and the other is custom checkpoint to ONNX; not the same issue." + }, + { + "left": "issue:5661", + "right": "issue:7483", + "accept": false, + "reason": "Different problems: a missing type import in one case and SDXL-based LoRA-to-Diffusers conversion behavior in the other." + }, + { + "left": "issue:3973", + "right": "issue:5374", + "accept": false, + "reason": "Both are unexpected keyword argument errors, but on unrelated functions and parameters (`vae_path` vs `checkpoint_path`)." + }, + { + "left": "issue:4206", + "right": "issue:5972", + "accept": false, + "reason": "One is a broken ControlNet SDXL training report; the other is documentation about Min-SNR weighting." + }, + { + "left": "issue:3639", + "right": "issue:3788", + "accept": false, + "reason": "Different new pipeline proposals with unrelated model concepts." + }, + { + "left": "issue:3325", + "right": "issue:5897", + "accept": false, + "reason": "Both are training crashes, but one is a CUDA invalid argument and the other is a cross-device tensor placement error." + }, + { + "left": "issue:10839", + "right": "issue:9237", + "accept": false, + "reason": "Both mention Flux DreamBooth LoRA, but one is a last-step training error and the other is a broader training issue; not enough evidence they are the same bug." + }, + { + "left": "issue:4186", + "right": "issue:7708", + "accept": false, + "reason": "Different SDXL inference problems: inpaint/refiner behavior vs missing tokenizer config." + }, + { + "left": "issue:3565", + "right": "issue:6230", + "accept": false, + "reason": "Both are OOM reports, but one is text-to-image training and the other is SDXL training; too broad to call duplicate." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 23, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10436", + "issue:10453", + "issue:10612", + "issue:10752", + "issue:10928", + "issue:10963", + "issue:11214", + "issue:12195", + "issue:1246", + "issue:1249", + "issue:12778", + "issue:13073", + "issue:1315", + "issue:1444", + "issue:1544", + "issue:1946", + "issue:1976", + "issue:246", + "issue:255", + "issue:3140", + "issue:3787", + "issue:4224", + "issue:4356", + "issue:4409", + "issue:4488", + "issue:4566", + "issue:4840", + "issue:5374", + "issue:539", + "issue:5595", + "issue:5840", + "issue:6126", + "issue:6363", + "issue:6741", + "issue:7146", + "issue:7210", + "issue:7228", + "issue:7644", + "issue:7716", + "issue:7784", + "issue:8307", + "issue:8534", + "issue:8788", + "issue:8887", + "issue:9067", + "issue:9914", + "issue:9962" + ], + "soft_pairs": [ + "issue:3140|issue:3787", + "issue:8534|issue:8887", + "issue:10612|issue:9914", + "issue:12195|issue:8307", + "issue:4356|issue:9067", + "issue:4488|issue:4840", + "issue:1946|issue:7146", + "issue:255|issue:5595", + "issue:1249|issue:246", + "issue:10928|issue:7716", + "issue:10453|issue:13073", + "issue:1544|issue:7210", + "issue:10436|issue:1976", + "issue:7228|issue:7784", + "issue:7644|issue:8788", + "issue:4566|issue:5840", + "issue:10963|issue:1315", + "issue:12778|issue:6741", + "issue:1249|issue:7210", + "issue:1444|issue:3140", + "issue:4409|issue:6126", + "issue:539|issue:9962", + "issue:4224|issue:6126", + "issue:1246|issue:6363", + "issue:10752|issue:1246", + "issue:11214|issue:5374" + ], + "prepared_review_unit_hash": "c0ad2ae1d24015696259b6dfa3598a4b2c508374262a0ee211b511e056d54222", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 34425, + "estimated_input_tokens": 8607, + "estimated_eval_tokens": 17470 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated issue reports. The only strong duplicate candidates are the SDXL LoRA checkpoint-resume reports and the FP16 unscale-gradient training reports; the rest differ by model, pipeline, or failure mode.", + "confidence": 0.78, + "canonical_issue_reason": "issue:5840 is the clearest, most specific report of the SDXL LoRA checkpoint-resume bug and best anchors the strongest duplicate pair in this set.", + "canonical_pr_reason": null, + "best_issue_reason": "It has the most concrete resume-from-checkpoint context among the issue reports, so it is the best single issue to keep as the reference.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3140", + "right": "issue:3787", + "accept": false, + "reason": "Both are import errors, but they involve different missing symbols and different failure modes." + }, + { + "left": "issue:8534", + "right": "issue:8887", + "accept": false, + "reason": "Both mention SD3 training, but they are distinct bugs: wrong weighting vs wrong VAE encode." + }, + { + "left": "issue:10612", + "right": "issue:9914", + "accept": false, + "reason": "Both concern LoRA loading in Flux-ish setups, but the concrete paths and reported failures differ enough to avoid merging." + }, + { + "left": "issue:12195", + "right": "issue:8307", + "accept": false, + "reason": "Different runtime errors in different components; not the same underlying bug." + }, + { + "left": "issue:4356", + "right": "issue:9067", + "accept": false, + "reason": "Both are missing-module/import problems, but they reference different modules and different packaging issues." + }, + { + "left": "issue:4488", + "right": "issue:4840", + "accept": false, + "reason": "Both are loading/checkpoint issues, but one is SDXL original checkpoint conversion and the other is FlaxAutoencoderKL loading torch weights." + }, + { + "left": "issue:1946", + "right": "issue:7146", + "accept": false, + "reason": "One is an xformers CUDA argument failure; the other is a training OOM. Different problems." + }, + { + "left": "issue:255", + "right": "issue:5595", + "accept": false, + "reason": "Both are about image size checks, but one fails when divisible by 8 and the other when not divisible by 8." + }, + { + "left": "issue:1249", + "right": "issue:246", + "accept": false, + "reason": "Different errors in different subsystems: OnnxPipeline ndarray/device vs a missing transformers mixin." + }, + { + "left": "issue:10928", + "right": "issue:7716", + "accept": false, + "reason": "Both are missing-file OSErrors, but they complain about different files and likely different loading paths." + }, + { + "left": "issue:10453", + "right": "issue:13073", + "accept": false, + "reason": "Both are support-limitations, but one is batch size and the other is guidance scale; not the same bug." + }, + { + "left": "issue:1544", + "right": "issue:7210", + "accept": false, + "reason": "Different attribute errors in unrelated code paths." + }, + { + "left": "issue:10436", + "right": "issue:1976", + "accept": false, + "reason": "Both involve loading models, but one is a missing runwayml inpainting load and the other is a tokenizer/config path error." + }, + { + "left": "issue:7228", + "right": "issue:7784", + "accept": false, + "reason": "Different missing-attribute failures in different pipelines." + }, + { + "left": "issue:7644", + "right": "issue:8788", + "accept": false, + "reason": "Both mention non-power-of-two image handling, but they are on different model families and the concrete bug descriptions differ." + }, + { + "left": "issue:4566", + "right": "issue:5840", + "accept": true, + "reason": "Both describe the same SDXL LoRA/DreamBooth checkpoint-resume regression; one says resume cannot work, the other says the model freezes on resume." + }, + { + "left": "issue:10963", + "right": "issue:1315", + "accept": false, + "reason": "Different missing import symbols; same broad category, but not the same underlying issue." + }, + { + "left": "issue:12778", + "right": "issue:6741", + "accept": false, + "reason": "Both are attribute/argument errors, but they are on different objects and different features." + }, + { + "left": "issue:1249", + "right": "issue:7210", + "accept": false, + "reason": "Different failures in unrelated pipelines; no shared code-path evidence." + }, + { + "left": "issue:1444", + "right": "issue:3140", + "accept": false, + "reason": "Both are import errors, but they concern different missing pipeline classes." + }, + { + "left": "issue:4409", + "right": "issue:6126", + "accept": false, + "reason": "Different missing attributes on different models; not a duplicate bug." + }, + { + "left": "issue:539", + "right": "issue:9962", + "accept": false, + "reason": "Both are unexpected-argument errors, but the arguments and call sites are unrelated." + }, + { + "left": "issue:4224", + "right": "issue:6126", + "accept": false, + "reason": "Different missing attributes on different model classes." + }, + { + "left": "issue:1246", + "right": "issue:6363", + "accept": true, + "reason": "Both report the same mixed-precision failure message, 'Attempting to unscale FP16 gradients,' in training examples, so they likely share the same root cause." + }, + { + "left": "issue:10752", + "right": "issue:1246", + "accept": false, + "reason": "The shared FP16 wording is superficial; one is a training bug report while the other is the Dreambooth example issue, and they do not clearly describe the same concrete code path." + }, + { + "left": "issue:11214", + "right": "issue:5374", + "accept": false, + "reason": "Different unexpected-keyword-argument failures with unrelated parameters." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The duplicate judgments are conservative and grounded in the packet. The accepted pairs (4566/5840 and 1246/6363) are well supported, and the rejected pairs generally differ by model, component, or failure mode. Minor note: the summary\u2019s FP16 wording is a bit broad, but it does not overstate the accepted evidence enough to invalidate the result." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 24, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10928", + "issue:11014", + "issue:11362", + "issue:12157", + "issue:12174", + "issue:1246", + "issue:12492", + "issue:12529", + "issue:12826", + "issue:13124", + "issue:1552", + "issue:1709", + "issue:1925", + "issue:2089", + "issue:2132", + "issue:2947", + "issue:3040", + "issue:3279", + "issue:3420", + "issue:3794", + "issue:4073", + "issue:4086", + "issue:4186", + "issue:4304", + "issue:4409", + "issue:4483", + "issue:4733", + "issue:5054", + "issue:5374", + "issue:5518", + "issue:5857", + "issue:6028", + "issue:6353", + "issue:6382", + "issue:6427", + "issue:6482", + "issue:6636", + "issue:6697", + "issue:6955", + "issue:7178", + "issue:7330", + "issue:7784", + "issue:8182", + "issue:8667", + "issue:9044", + "issue:9450", + "issue:9895", + "issue:9901" + ], + "soft_pairs": [ + "issue:9450|issue:9895", + "issue:4409|issue:5518", + "issue:11014|issue:6028", + "issue:13124|issue:7330", + "issue:5857|issue:6382", + "issue:12157|issue:6353", + "issue:3040|issue:9901", + "issue:3794|issue:4304", + "issue:12529|issue:8667", + "issue:6427|issue:7178", + "issue:10928|issue:9044", + "issue:11362|issue:5374", + "issue:1709|issue:4073", + "issue:2089|issue:6697", + "issue:1246|issue:6482", + "issue:1925|issue:4086", + "issue:12174|issue:8182", + "issue:12492|issue:6955", + "issue:3279|issue:4733", + "issue:12826|issue:6636", + "issue:1552|issue:3420", + "issue:4186|issue:4483", + "issue:5054|issue:7784", + "issue:2132|issue:2947" + ], + "prepared_review_unit_hash": "7ece39c629a78266e75519623838fe7a1fecfce47fdef1f188bb0321540b660e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34812, + "estimated_input_tokens": 8703, + "estimated_eval_tokens": 17662 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft pairs are mostly false positives: they share vague error patterns but point to different models, pipelines, or code paths. This set is heterogeneous, so there is no meaningful canonical duplicate issue here.", + "confidence": 0.95, + "canonical_issue_reason": "No single issue is a good canonical representative; the items span unrelated subsystems (Flux device placement, DreamBooth FP16, import errors, model-specific mismatches, and training bugs).", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue: the cluster is too diverse for any one issue to summarize or absorb the others as duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9450", + "right": "issue:9895", + "accept": false, + "reason": "Both are Flux device-mismatch reports, but one is multi-GPU transformer setup and the other is a regression after a specific commit; likely related class, not the same bug." + }, + { + "left": "issue:4409", + "right": "issue:5518", + "accept": false, + "reason": "Both mention attribute errors in UNet/LoRA contexts, but the missing attributes are different and point to different failure paths." + }, + { + "left": "issue:11014", + "right": "issue:6028", + "accept": false, + "reason": "Both are OOM reports, but they involve different models and scenarios; generic memory exhaustion is not enough to merge." + }, + { + "left": "issue:13124", + "right": "issue:7330", + "accept": false, + "reason": "Both involve FP16 gradient unscale errors, but one is triggered by validation_prompt in DreamBooth LoRA and the other by a text-to-image LoRA script." + }, + { + "left": "issue:5857", + "right": "issue:6382", + "accept": false, + "reason": "Both are LoRA-related training issues, but one is an AnimateDiff LCM behavior problem and the other is an IP-Adapter key error after SDXL training." + }, + { + "left": "issue:12157", + "right": "issue:6353", + "accept": false, + "reason": "Different code paths: one is Qwen-Image training with bnb quantization config, the other is an SDXL controlnet example failure." + }, + { + "left": "issue:3040", + "right": "issue:9901", + "accept": false, + "reason": "Both are generic attribute/type errors, but they concern unrelated objects and processors, with no shared concrete bug." + }, + { + "left": "issue:3794", + "right": "issue:4304", + "accept": false, + "reason": "One asks for bucket training support, the other requests SDXL text-to-image LoRA support; feature request, not duplicate bug." + }, + { + "left": "issue:12529", + "right": "issue:8667", + "accept": false, + "reason": "Both are tensor size mismatch errors, but they affect different models and image-shape conditions; not the same underlying fix." + }, + { + "left": "issue:6427", + "right": "issue:7178", + "accept": false, + "reason": "Both concern export/conversion workflows, but one is diffusers-to-ckpt conversion and the other is export_to_video behavior; different functionality." + }, + { + "left": "issue:10928", + "right": "issue:9044", + "accept": false, + "reason": "Both are missing-weight-file OSErrors, but they reference different filenames and model repositories." + }, + { + "left": "issue:11362", + "right": "issue:5374", + "accept": false, + "reason": "Both are unexpected keyword argument errors, but for different arguments and different APIs." + }, + { + "left": "issue:1709", + "right": "issue:4073", + "accept": false, + "reason": "Both mention Tensor.astype, but one is an ONNX img2img pipeline and the other is the DeepFloyd IF safety checker; different code paths." + }, + { + "left": "issue:2089", + "right": "issue:6697", + "accept": false, + "reason": "Both are training OOMs, but they involve different model families and likely different memory profiles/settings." + }, + { + "left": "issue:1246", + "right": "issue:6482", + "accept": false, + "reason": "Both report Attempting to unscale FP16 gradients, but one is the original Dreambooth example and the other is an SDXL advanced resume-from-checkpoint path." + }, + { + "left": "issue:1925", + "right": "issue:4086", + "accept": false, + "reason": "Different problems: half precision in SD2 inpainting versus SDXL controlnet training not working." + }, + { + "left": "issue:12174", + "right": "issue:8182", + "accept": false, + "reason": "Both are attribute errors, but they are unrelated symbols and do not indicate the same bug." + }, + { + "left": "issue:12492", + "right": "issue:6955", + "accept": false, + "reason": "Both are import/module attribute issues, but they involve different libraries and different missing symbols." + }, + { + "left": "issue:3279", + "right": "issue:4733", + "accept": false, + "reason": "Both are checkpoint resume failures in DreamBooth LoRA, but the exact optimizer/checkpoint error differs and the reports are not clearly the same bug." + }, + { + "left": "issue:12826", + "right": "issue:6636", + "accept": false, + "reason": "Both are import-related, but one is missing export_to_video and the other is missing DIFFUSERS_SLOW_IMPORT; unrelated symbols." + }, + { + "left": "issue:1552", + "right": "issue:3420", + "accept": false, + "reason": "Both mention diffusion pipelines with inpainting/controlnet, but one is attention slicing on SD2 and the other is a pipeline compatibility issue; not the same fix." + }, + { + "left": "issue:4186", + "right": "issue:4483", + "accept": false, + "reason": "Different issues: SDXL inpaint with refiner versus generator non-determinism." + }, + { + "left": "issue:5054", + "right": "issue:7784", + "accept": false, + "reason": "Both are pipeline attribute errors, but the missing attributes are different and affect different pipelines." + }, + { + "left": "issue:2132", + "right": "issue:2947", + "accept": false, + "reason": "Both are AttributeErrors in training/inference code, but they concern different missing Accelerator/UNet APIs and different execution paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 25, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10226", + "issue:10839", + "issue:11005", + "issue:11045", + "issue:11581", + "issue:1246", + "issue:12492", + "issue:1263", + "issue:13087", + "issue:1709", + "issue:1976", + "issue:1988", + "issue:246", + "issue:2571", + "issue:2616", + "issue:3382", + "issue:3565", + "issue:4137", + "issue:4308", + "issue:4324", + "issue:4492", + "issue:4649", + "issue:4736", + "issue:4868", + "issue:4925", + "issue:5016", + "issue:5259", + "issue:5805", + "issue:6098", + "issue:6142", + "issue:6281", + "issue:646", + "issue:6697", + "issue:7114", + "issue:7133", + "issue:7146", + "issue:7228", + "issue:7432", + "issue:7516", + "issue:7681", + "issue:8307", + "issue:858", + "issue:8613", + "issue:9026", + "issue:9227", + "issue:9393", + "issue:9548", + "issue:9901" + ], + "soft_pairs": [ + "issue:11581|issue:9026", + "issue:1263|issue:13087", + "issue:7228|issue:9901", + "issue:10226|issue:7133", + "issue:2616|issue:646", + "issue:4925|issue:6697", + "issue:11005|issue:4308", + "issue:246|issue:858", + "issue:2571|issue:6281", + "issue:1246|issue:6098", + "issue:4324|issue:4649", + "issue:7146|issue:8613", + "issue:1709|issue:8307", + "issue:3382|issue:3565", + "issue:4736|issue:7114", + "issue:10839|issue:9548", + "issue:11045|issue:9227", + "issue:4868|issue:9901", + "issue:5016|issue:9393", + "issue:4137|issue:7432", + "issue:7516|issue:858", + "issue:1976|issue:5259", + "issue:4492|issue:6142", + "issue:12492|issue:7681", + "issue:1988|issue:5805" + ], + "prepared_review_unit_hash": "0e2945d4bf4428c7c54373da7cd2f8867309609d38f8615ed932ecc041fa9478", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 35070, + "estimated_input_tokens": 8768, + "estimated_eval_tokens": 17792 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab-bag of loosely related training/import/runtime issues, not one single bug. A couple of soft pairs are close enough to treat as duplicates, but most are only sharing a subsystem or error shape and should stay separate.", + "confidence": 0.61, + "canonical_issue_reason": "issue:9227 is the broadest Flux Dreambooth/LoRA training report here, with the clearest umbrella scope and an open thread that later Flux training complaints can point back to.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9227 is the best global issue candidate because it is the most general, model-specific Flux training entry and can serve as the umbrella for related Flux Dreambooth/LoRA failures.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11581", + "right": "issue:9026", + "accept": false, + "reason": "Different failure modes: IP Adapter/CLIPVision dtype init error vs accelerate dispatch keyword mismatch." + }, + { + "left": "issue:1263", + "right": "issue:13087", + "accept": false, + "reason": "Both are import errors, but for unrelated symbols and pipelines; not the same bug." + }, + { + "left": "issue:7228", + "right": "issue:9901", + "accept": false, + "reason": "Different runtime errors in different code paths; no sign of a shared root cause." + }, + { + "left": "issue:10226", + "right": "issue:7133", + "accept": false, + "reason": "Both mention size mismatch, but one is Flux Dreambooth LoRA and the other is SDXL resume-from-checkpoint text-encoder mismatch." + }, + { + "left": "issue:2616", + "right": "issue:646", + "accept": false, + "reason": "Unrelated issues: a NoneType replace failure during save_attn_procs vs a scheduler API attribute error." + }, + { + "left": "issue:4925", + "right": "issue:6697", + "accept": false, + "reason": "Both are OOM reports, but they are different scripts and setups; that alone is not a duplicate." + }, + { + "left": "issue:11005", + "right": "issue:4308", + "accept": false, + "reason": "Same general docstring/default mismatch pattern, but for different pipelines and parameters." + }, + { + "left": "issue:246", + "right": "issue:858", + "accept": false, + "reason": "Different attribute errors in unrelated parts of the stack." + }, + { + "left": "issue:2571", + "right": "issue:6281", + "accept": false, + "reason": "Different missing imports from different packages/classes; not the same underlying issue." + }, + { + "left": "issue:1246", + "right": "issue:6098", + "accept": true, + "reason": "Same fp16 gradient unscale failure in Dreambooth training; the error message and context align closely enough to be duplicates." + }, + { + "left": "issue:4324", + "right": "issue:4649", + "accept": true, + "reason": "Both point to the same NoneType-in-added_cond_kwargs / unet forward failure; one is the explicit line, the other the propagated forward() error." + }, + { + "left": "issue:7146", + "right": "issue:8613", + "accept": false, + "reason": "Both are OOMs, but in different SDXL training contexts; this looks like capacity/setup, not one concrete bug." + }, + { + "left": "issue:1709", + "right": "issue:8307", + "accept": false, + "reason": "Different attribute/import problems in different pipelines; no shared code-path evidence." + }, + { + "left": "issue:3382", + "right": "issue:3565", + "accept": false, + "reason": "Both mention CUDA OOM in text-to-image training, but they are distinct reports and not clearly the same defect." + }, + { + "left": "issue:4736", + "right": "issue:7114", + "accept": false, + "reason": "Same broad OOM symptom during training, but different scripts and scenarios; too generic to merge." + }, + { + "left": "issue:10839", + "right": "issue:9548", + "accept": false, + "reason": "Both are Flux Dreambooth LoRA complaints, but the titles suggest different reproductions and not a clearly identical failure." + }, + { + "left": "issue:11045", + "right": "issue:9227", + "accept": false, + "reason": "Same training script family, but different model variants and error descriptions; not enough to call them the same bug." + }, + { + "left": "issue:4868", + "right": "issue:9901", + "accept": false, + "reason": "Different attribute error patterns in unrelated code paths." + }, + { + "left": "issue:5016", + "right": "issue:9393", + "accept": false, + "reason": "Both are Flux Dreambooth LoRA-related, but one is about training text encoders and the other about saving with deepspeed; distinct failures." + }, + { + "left": "issue:4137", + "right": "issue:7432", + "accept": false, + "reason": "Both discuss output differences versus WebUI, but they are different contexts and not the same concrete issue." + }, + { + "left": "issue:7516", + "right": "issue:858", + "accept": false, + "reason": "Different missing-attribute failures in different modules." + }, + { + "left": "issue:1976", + "right": "issue:5259", + "accept": false, + "reason": "Both are file/path lookup errors, but the missing files and code paths are different." + }, + { + "left": "issue:4492", + "right": "issue:6142", + "accept": false, + "reason": "Both are NameErrors, but for unrelated names and likely unrelated causes." + }, + { + "left": "issue:12492", + "right": "issue:7681", + "accept": false, + "reason": "Different import/runtime failures; no common underlying bug is evident." + }, + { + "left": "issue:1988", + "right": "issue:5805", + "accept": false, + "reason": "Both mention type mismatches, but they occur in different pipelines and under different conditions." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary stays grounded in the packet and the soft-edge calls are conservative overall. The two accepted pairs look well supported by the titles alone, and the rejected pairs mostly rely on different error sites, different pipelines, or only broad symptom overlap. The choice of issue:9227 as the umbrella Flux training issue is reasonable given the available evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 26, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10062", + "issue:10154", + "issue:10500", + "issue:10591", + "issue:1249", + "issue:1255", + "issue:1260", + "issue:13087", + "issue:1377", + "issue:1544", + "issue:1709", + "issue:1925", + "issue:2044", + "issue:234", + "issue:2556", + "issue:2947", + "issue:3026", + "issue:3140", + "issue:3202", + "issue:3489", + "issue:4086", + "issue:4104", + "issue:4224", + "issue:4265", + "issue:4282", + "issue:4724", + "issue:5518", + "issue:6044", + "issue:6324", + "issue:6371", + "issue:646", + "issue:7276", + "issue:7483", + "issue:7516", + "issue:7574", + "issue:7681", + "issue:7728", + "issue:8320", + "issue:8537", + "issue:8759", + "issue:8887", + "issue:8975", + "issue:9111", + "issue:9450", + "issue:9505", + "issue:9527", + "issue:9630" + ], + "soft_pairs": [ + "issue:2044|issue:6044", + "issue:3026|issue:7728", + "issue:4104|issue:8759", + "issue:10062|issue:1544", + "issue:646|issue:8320", + "issue:4086|issue:4724", + "issue:3489|issue:6324", + "issue:1925|issue:234", + "issue:1260|issue:8975", + "issue:10500|issue:9450", + "issue:2556|issue:4282", + "issue:4224|issue:5518", + "issue:9527|issue:9630", + "issue:1255|issue:4265", + "issue:1377|issue:3140", + "issue:3202|issue:7516", + "issue:10591|issue:8887", + "issue:13087|issue:4265", + "issue:2947|issue:3489", + "issue:10154|issue:1709", + "issue:6371|issue:7276", + "issue:7681|issue:8537", + "issue:7574|issue:9505", + "issue:1249|issue:9111", + "issue:4724|issue:7483" + ], + "prepared_review_unit_hash": "6aad5d296f414992416d848121bea7cbab5cdb738bb1a975bd3ddfc8157fe513", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34526, + "estimated_input_tokens": 8632, + "estimated_eval_tokens": 17520 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is fairly heterogeneous, but a few soft pairs are genuine duplicates: black-image/invalid-cast reports, half-precision pipeline failures, the Multi-ControlNet feature request, and the upscaling KeyError. Most other pairs are only thematically similar (imports, attribute errors, training-script issues) and should stay separate.", + "confidence": 0.43, + "canonical_issue_reason": "issue:2556 is the most central, high-activity issue in the set and has a clear duplicate in issue:4282; it also represents a broader, actionable request rather than a narrowly specific runtime error.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2556 is the strongest representative issue overall because it has the highest discussion activity and a straightforward duplicate relationship, making it the best anchor for this cluster despite the mixed topic spread.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2044", + "right": "issue:6044", + "accept": false, + "reason": "Both are attribute errors, but on different objects and code paths ('DistributedDataParallel.dtype' vs 'StableDiffusionImg2ImgPipeline.do_classifier_free_guidance')." + }, + { + "left": "issue:3026", + "right": "issue:7728", + "accept": false, + "reason": "Both involve training/accelerate errors, but the models, scripts, and failure modes are different." + }, + { + "left": "issue:4104", + "right": "issue:8759", + "accept": true, + "reason": "Both point to the same image postprocessing bug: invalid values during cast leading to black/incorrect images in the SD3/image processor path." + }, + { + "left": "issue:10062", + "right": "issue:1544", + "accept": false, + "reason": "Different missing-attribute failures on unrelated classes ('peft_config' on UNet vs 'get_velocity' on scheduler)." + }, + { + "left": "issue:646", + "right": "issue:8320", + "accept": false, + "reason": "Unrelated errors: one is a scheduler API mismatch, the other is a from_single_file AutoencoderKL type/name issue." + }, + { + "left": "issue:4086", + "right": "issue:4724", + "accept": false, + "reason": "Both mention SDXL, but one is ControlNet training and the other is img2img inference behavior; not the same bug." + }, + { + "left": "issue:3489", + "right": "issue:6324", + "accept": false, + "reason": "Different failures in different subsystems: ONNX model config access vs a boolean type introspection error." + }, + { + "left": "issue:1925", + "right": "issue:234", + "accept": true, + "reason": "Same underlying half-precision stability problem in Stable Diffusion pipelines; the titles describe the same class of failure." + }, + { + "left": "issue:1260", + "right": "issue:8975", + "accept": false, + "reason": "Both are import errors, but they concern different missing symbols and are not the same concrete import bug." + }, + { + "left": "issue:10500", + "right": "issue:9450", + "accept": false, + "reason": "Both are device-mismatch errors, but they affect different pipelines/models and appear to be separate code paths." + }, + { + "left": "issue:2556", + "right": "issue:4282", + "accept": true, + "reason": "Same feature request: add a Multi-ControlNet pipeline." + }, + { + "left": "issue:4224", + "right": "issue:5518", + "accept": false, + "reason": "Both are attribute errors, but on different components and unrelated causes ('control_model' vs 'time')." + }, + { + "left": "issue:9527", + "right": "issue:9630", + "accept": false, + "reason": "Both involve Flux/controlnet training, but the reported bugs are different (dtype mismatch vs num_single_layers configuration on single GPU)." + }, + { + "left": "issue:1255", + "right": "issue:4265", + "accept": false, + "reason": "Different missing pipeline imports; same broad import area, but not the same symbol or fix." + }, + { + "left": "issue:1377", + "right": "issue:3140", + "accept": false, + "reason": "Different missing imports from different packages/classes; not a duplicate." + }, + { + "left": "issue:3202", + "right": "issue:7516", + "accept": false, + "reason": "Distinct attribute errors affecting different pipelines ('enable_vae_tiling' vs DepthNormalEstimationPipeline export)." + }, + { + "left": "issue:10591", + "right": "issue:8887", + "accept": false, + "reason": "Both touch SD3 training scripts, but one is a vague script issue and the other is a specific wrong VAE-encode bug." + }, + { + "left": "issue:13087", + "right": "issue:4265", + "accept": false, + "reason": "Different missing pipeline classes; same theme, but not the same import failure." + }, + { + "left": "issue:2947", + "right": "issue:3489", + "accept": false, + "reason": "Different attribute/config issues in different subsystems; no concrete overlap." + }, + { + "left": "issue:10154", + "right": "issue:1709", + "accept": false, + "reason": "One is a LoRA loading attribute error; the other is a tensor/numpy type error in ONNX img2img." + }, + { + "left": "issue:6371", + "right": "issue:7276", + "accept": false, + "reason": "Different bug classes: a controlnet_xs assertion vs network errors in dreambooth example setup." + }, + { + "left": "issue:7681", + "right": "issue:8537", + "accept": false, + "reason": "Completely different import/runtime failures: OpenSSL/lib symbol issue vs missing torch float8 attribute." + }, + { + "left": "issue:7574", + "right": "issue:9505", + "accept": true, + "reason": "Same concrete KeyError on 'middle_block_out.0.weight' during upscaling." + }, + { + "left": "issue:1249", + "right": "issue:9111", + "accept": false, + "reason": "Different failures: ONNX pipeline device access vs BitDiffusion missing scheduler attribute." + }, + { + "left": "issue:4724", + "right": "issue:7483", + "accept": false, + "reason": "Both relate to SDXL, but one is an img2img pipeline behavior issue and the other is a LoRA conversion script problem; not the same bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays mostly conservative. The canonical issue choice (issue:2556 over issue:4282) is supported by the higher discussion activity and the duplicate title. The accepted soft pairs are all plausibly duplicate/near-duplicate at the title level, especially the exact Multi-ControlNet pair, the black-image/cast pair, and the upscaling KeyError pair. The non-accepted pairs are appropriately cautious. Overall this looks consistent with the evidence provided." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 27, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10594", + "issue:11199", + "issue:11436", + "issue:12459", + "issue:1263", + "issue:1264", + "issue:12689", + "issue:12826", + "issue:1315", + "issue:13300", + "issue:1377", + "issue:1544", + "issue:1875", + "issue:1925", + "issue:1988", + "issue:3211", + "issue:3489", + "issue:3648", + "issue:4118", + "issue:4409", + "issue:4557", + "issue:4724", + "issue:5246", + "issue:5603", + "issue:5757", + "issue:5840", + "issue:6028", + "issue:6044", + "issue:6252", + "issue:6298", + "issue:6415", + "issue:6517", + "issue:7114", + "issue:7228", + "issue:7311", + "issue:7708", + "issue:7766", + "issue:851", + "issue:8537", + "issue:858", + "issue:8659", + "issue:8863", + "issue:9111", + "issue:9630", + "issue:9780", + "issue:9911", + "issue:993" + ], + "soft_pairs": [ + "issue:6028|issue:7114", + "issue:7228|issue:858", + "issue:7311|issue:8659", + "issue:6415|issue:7766", + "issue:3211|issue:4409", + "issue:5757|issue:5840", + "issue:1263|issue:1315", + "issue:4118|issue:8537", + "issue:3489|issue:4557", + "issue:10594|issue:12459", + "issue:12826|issue:5603", + "issue:1875|issue:1988", + "issue:13300|issue:993", + "issue:1264|issue:3648", + "issue:6298|issue:9780", + "issue:12689|issue:6252", + "issue:5246|issue:8537", + "issue:1544|issue:9111", + "issue:11199|issue:6517", + "issue:9630|issue:9911", + "issue:1925|issue:4724", + "issue:1315|issue:1377", + "issue:11436|issue:851", + "issue:4724|issue:7708", + "issue:6044|issue:8863" + ], + "prepared_review_unit_hash": "6e72a2126879ca516374e40a688396d825839f1810e5843c6b9eb9fe03c7a814", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34299, + "estimated_input_tokens": 8575, + "estimated_eval_tokens": 17406 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated Diffusers bug reports (imports, missing attributes, dtype mismatches, OOM, and performance issues). The only clear duplicate-style pairs are the LoRA checkpoint-loading reports and the DreamBooth LoRA resume reports.", + "confidence": 0.74, + "canonical_issue_reason": "issue:12689 is the clearest concrete bug report here and has a near-exact duplicate in 6252 about LoRA weights not loading from checkpoints.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12689 best represents the duplicate-worthy problem in this cluster: a specific LoRA checkpoint-loading failure with a strong same-bug counterpart.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6028", + "right": "issue:7114", + "accept": false, + "reason": "Both mention memory pressure, but one is Kandinsky 3.0 OOM and the other is SDXL text-to-image training OOM; different code paths and scenarios." + }, + { + "left": "issue:7228", + "right": "issue:858", + "accept": false, + "reason": "Both are generic attribute errors, but they involve unrelated objects and missing methods; no evidence of the same bug." + }, + { + "left": "issue:7311", + "right": "issue:8659", + "accept": false, + "reason": "Both concern checkpoint/save-resume behavior, but they are different SDXL training scripts with different failure modes." + }, + { + "left": "issue:6415", + "right": "issue:7766", + "accept": false, + "reason": "Same feature area (IP-Adapter FaceID), but one is a support request and the other is a missing-support bug; not the same underlying defect." + }, + { + "left": "issue:3211", + "right": "issue:4409", + "accept": false, + "reason": "Different missing-attribute errors on different pipeline objects; too broad to treat as one bug." + }, + { + "left": "issue:5757", + "right": "issue:5840", + "accept": true, + "reason": "Both report the same DreamBooth LoRA SDXL resume-from-checkpoint failure in the same script, just phrased differently." + }, + { + "left": "issue:1263", + "right": "issue:1315", + "accept": false, + "reason": "Both are import errors, but they involve different missing symbols and modules, so they are not the same defect." + }, + { + "left": "issue:4118", + "right": "issue:8537", + "accept": false, + "reason": "Both are API/version mismatch style errors, but they are unrelated objects and missing attributes; not the same code-path problem." + }, + { + "left": "issue:3489", + "right": "issue:4557", + "accept": false, + "reason": "Different ONNX/runtime attribute errors with no clear shared root cause." + }, + { + "left": "issue:10594", + "right": "issue:12459", + "accept": false, + "reason": "One is a FLUX LoRA + multi-control setup issue, the other is a batch inference throughput problem; different problems." + }, + { + "left": "issue:12826", + "right": "issue:5603", + "accept": false, + "reason": "Both are import-name issues, but they refer to different functions/symbols and likely different releases/fixes." + }, + { + "left": "issue:1875", + "right": "issue:1988", + "accept": false, + "reason": "Both mention fp16/bf16 type mismatches, but they arise in different training examples and are not clearly the same bug." + }, + { + "left": "issue:13300", + "right": "issue:993", + "accept": false, + "reason": "Both concern dtype/CPU inference failures, but one is modern SD3.5/FLUX CPU generation and the other is generic fp16 stable diffusion; too different." + }, + { + "left": "issue:1264", + "right": "issue:3648", + "accept": false, + "reason": "Unrelated topics: hard-coded noise scheduler value versus VRAM requirements." + }, + { + "left": "issue:6298", + "right": "issue:9780", + "accept": false, + "reason": "Both are model/pipeline attribute complaints, but the missing attributes and pipelines differ substantially." + }, + { + "left": "issue:12689", + "right": "issue:6252", + "accept": true, + "reason": "Near-exact duplicate reports of LoRA adapter weights not being loaded from checkpoints." + }, + { + "left": "issue:5246", + "right": "issue:8537", + "accept": false, + "reason": "Different missing-symbol/model-loading problems; one is CLIPImageProjection, the other is float8 support." + }, + { + "left": "issue:1544", + "right": "issue:9111", + "accept": false, + "reason": "A scheduler method missing in Stable Diffusion 2 is not the same as BitDiffusion lacking a scheduler attribute." + }, + { + "left": "issue:11199", + "right": "issue:6517", + "accept": false, + "reason": "Both are import failures, but they reference different modules/pipelines and do not look like one shared bug." + }, + { + "left": "issue:9630", + "right": "issue:9911", + "accept": false, + "reason": "Both involve FLUX controlnet, but one is a single-GPU/multi-GPU configuration error and the other is multi-controlnet layer-length mismatch." + }, + { + "left": "issue:1925", + "right": "issue:4724", + "accept": false, + "reason": "Different pipelines and symptoms; one is half-precision inpainting, the other SDXL img2img behavior with a checkpoint." + }, + { + "left": "issue:1315", + "right": "issue:1377", + "accept": false, + "reason": "Both are import errors, but they are for different packages and missing names, so they are not duplicates." + }, + { + "left": "issue:11436", + "right": "issue:851", + "accept": false, + "reason": "Both are dtype mismatch errors, but they are different models and exact type combinations; too generic to merge." + }, + { + "left": "issue:4724", + "right": "issue:7708", + "accept": false, + "reason": "One is an img2img behavior bug, the other is a tokenizer config file missing; unrelated." + }, + { + "left": "issue:6044", + "right": "issue:8863", + "accept": false, + "reason": "A missing classifier-free-guidance attribute in img2img is unrelated to a tuple-shape error." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The LoRA checkpoint-loading pair (12689/6252) is well-supported, the DreamBooth resume pair (5757/5840) also looks like a plausible duplicate-style match, and the remaining soft-edge rejections avoid overstating weak similarity. No mergeability issues apply here because this is not a PR pair." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 28, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10062", + "issue:1100", + "issue:11447", + "issue:11978", + "issue:1249", + "issue:1255", + "issue:1572", + "issue:1709", + "issue:1717", + "issue:1842", + "issue:2044", + "issue:2100", + "issue:2234", + "issue:2984", + "issue:3094", + "issue:3211", + "issue:3382", + "issue:3728", + "issue:4194", + "issue:4224", + "issue:4316", + "issue:4331", + "issue:4409", + "issue:4667", + "issue:4969", + "issue:499", + "issue:5016", + "issue:5509", + "issue:5565", + "issue:5619", + "issue:5760", + "issue:5992", + "issue:6028", + "issue:6044", + "issue:6154", + "issue:6362", + "issue:6382", + "issue:6536", + "issue:7114", + "issue:7214", + "issue:7228", + "issue:7660", + "issue:8307", + "issue:8939", + "issue:9026", + "issue:9115", + "issue:9534", + "issue:9973" + ], + "soft_pairs": [ + "issue:1842|issue:9026", + "issue:2984|issue:5760", + "issue:10062|issue:1100", + "issue:5509|issue:7214", + "issue:6362|issue:6536", + "issue:2044|issue:8307", + "issue:3211|issue:4224", + "issue:1249|issue:9534", + "issue:1709|issue:9534", + "issue:1255|issue:2100", + "issue:1249|issue:7228", + "issue:3382|issue:6028", + "issue:11978|issue:3728", + "issue:1572|issue:5619", + "issue:1255|issue:4969", + "issue:2234|issue:8939", + "issue:4409|issue:5992", + "issue:499|issue:7660", + "issue:5016|issue:6154", + "issue:1249|issue:6044", + "issue:3094|issue:7114", + "issue:4316|issue:4331", + "issue:11447|issue:1717", + "issue:5565|issue:9973", + "issue:6382|issue:9115", + "issue:4194|issue:4667" + ], + "prepared_review_unit_hash": "3733e3f243bce438bed9dc5e7a31adc697f994c9840ae64ce19a86038711f6a9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 35383, + "estimated_input_tokens": 8846, + "estimated_eval_tokens": 17948 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is over-broad: it mixes many unrelated diffusers issues (missing attrs, import errors, OOMs, example regressions, and new-pipeline requests). I only see two plausible duplicate pairs: the HF_HUB_OFFLINE loading failures and the StableDiffusionPipeline.from_single_file regression.", + "confidence": 0.9, + "canonical_issue_reason": "No single canonical issue cleanly represents the whole cluster; the strongest duplicate-like subgroup is the offline-cache bug, where issue 1717 is the broader, more canonical wording compared with 11447.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1717 is the best issue representative because it states the broad offline-cache loading failure and also matches 11447\u2019s shard-loading symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1842", + "right": "issue:9026", + "accept": false, + "reason": "Both are TypeErrors, but they come from different code paths and different kwargs; not the same underlying bug." + }, + { + "left": "issue:2984", + "right": "issue:5760", + "accept": false, + "reason": "Completely unrelated research/model announcement issues, not duplicates." + }, + { + "left": "issue:10062", + "right": "issue:1100", + "accept": false, + "reason": "Both mention missing attributes, but the models, attributes, and failure contexts differ." + }, + { + "left": "issue:5509", + "right": "issue:7214", + "accept": false, + "reason": "Different failures: image batch-size validation vs scheduler karras_sigma behavior." + }, + { + "left": "issue:6362", + "right": "issue:6536", + "accept": false, + "reason": "Both are OOM reports, but for different models and training paths; too broad to merge." + }, + { + "left": "issue:2044", + "right": "issue:8307", + "accept": false, + "reason": "Missing dtype on DDP vs missing StableCascadeUNet export are unrelated attribute errors." + }, + { + "left": "issue:3211", + "right": "issue:4224", + "accept": false, + "reason": "Both are missing pipeline attrs, but they affect different attributes and different pipeline features." + }, + { + "left": "issue:1249", + "right": "issue:9534", + "accept": false, + "reason": "Different pipeline/model attribute errors with no clear shared code path." + }, + { + "left": "issue:1709", + "right": "issue:9534", + "accept": false, + "reason": "ONNX Tensor astype error and FluxMultiControlNetModel config error are unrelated." + }, + { + "left": "issue:1255", + "right": "issue:2100", + "accept": false, + "reason": "Both are import errors, but for different symbols and likely different export gaps." + }, + { + "left": "issue:1249", + "right": "issue:7228", + "accept": false, + "reason": "Different missing-attribute failures in different loading/tracing paths." + }, + { + "left": "issue:3382", + "right": "issue:6028", + "accept": false, + "reason": "Both involve OOM, but in different scripts and models; not the same bug." + }, + { + "left": "issue:11978", + "right": "issue:3728", + "accept": false, + "reason": "A pipeline feature request and a different new-pipeline request are not duplicates." + }, + { + "left": "issue:1572", + "right": "issue:5619", + "accept": false, + "reason": "Both concern img2img-like behavior, but they target different pipelines and symptoms." + }, + { + "left": "issue:1255", + "right": "issue:4969", + "accept": false, + "reason": "Separate import failures for different classes; no shared concrete bug." + }, + { + "left": "issue:2234", + "right": "issue:8939", + "accept": false, + "reason": "Training/xformers issue vs tokenizer loading issue for a different model release." + }, + { + "left": "issue:4409", + "right": "issue:5992", + "accept": false, + "reason": "Different attribute/error classes in unrelated code paths." + }, + { + "left": "issue:499", + "right": "issue:7660", + "accept": false, + "reason": "Both mention examples, but they are different examples with different failures." + }, + { + "left": "issue:5016", + "right": "issue:6154", + "accept": false, + "reason": "Both are SDXL LoRA training reports, but one is about text encoder training and the other about M2 Mac compatibility." + }, + { + "left": "issue:1249", + "right": "issue:6044", + "accept": false, + "reason": "Different missing-attribute errors in different pipeline behaviors." + }, + { + "left": "issue:3094", + "right": "issue:7114", + "accept": false, + "reason": "Both are training OOMs, but in different scripts and setups; too broad to be the same bug." + }, + { + "left": "issue:4316", + "right": "issue:4331", + "accept": false, + "reason": "Validation-option error and differing DreamBooth outputs are not the same underlying issue." + }, + { + "left": "issue:11447", + "right": "issue:1717", + "accept": true, + "reason": "Both describe the same HF_HUB_OFFLINE loading failure: cached/sharded checkpoint files are not loaded correctly offline." + }, + { + "left": "issue:5565", + "right": "issue:9973", + "accept": false, + "reason": "Different DreamBooth LoRA training failures with no shared concrete code path." + }, + { + "left": "issue:6382", + "right": "issue:9115", + "accept": false, + "reason": "Different adapter/model combination errors; not the same bug." + }, + { + "left": "issue:4194", + "right": "issue:4667", + "accept": true, + "reason": "Both point to the same from_single_file regression in StableDiffusionPipeline; 4194 is a specific VAE symptom of the broader API break." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative about the cluster being over-broad. The two accepted soft pairs, 11447\u21941717 and 4194\u21944667, are plausibly the same bugfix class; the rest are appropriately rejected as too broad or clearly unrelated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 29, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10029", + "issue:10169", + "issue:12174", + "issue:1263", + "issue:1444", + "issue:1565", + "issue:1709", + "issue:1866", + "issue:2044", + "issue:246", + "issue:3290", + "issue:3489", + "issue:3886", + "issue:4086", + "issue:4137", + "issue:4255", + "issue:4324", + "issue:4483", + "issue:4615", + "issue:4648", + "issue:4868", + "issue:490", + "issue:5374", + "issue:5565", + "issue:5919", + "issue:6218", + "issue:6324", + "issue:646", + "issue:6536", + "issue:6570", + "issue:6842", + "issue:6967", + "issue:6996", + "issue:7210", + "issue:7708", + "issue:7784", + "issue:8307", + "issue:8320", + "issue:852", + "issue:8552", + "issue:867", + "issue:9044", + "issue:9111", + "issue:9534", + "issue:9799", + "issue:9889", + "issue:9936", + "issue:9962" + ], + "soft_pairs": [ + "issue:5374|issue:852", + "issue:8552|issue:9889", + "issue:12174|issue:7210", + "issue:5374|issue:9962", + "issue:7784|issue:8320", + "issue:4324|issue:6996", + "issue:4137|issue:4255", + "issue:6570|issue:9799", + "issue:1263|issue:4615", + "issue:1444|issue:6842", + "issue:12174|issue:6324", + "issue:490|issue:867", + "issue:3489|issue:4868", + "issue:3290|issue:8307", + "issue:5565|issue:6967", + "issue:5919|issue:646", + "issue:1709|issue:9111", + "issue:10169|issue:4648", + "issue:1709|issue:246", + "issue:4483|issue:9044", + "issue:4086|issue:4483", + "issue:2044|issue:9534", + "issue:1565|issue:6536", + "issue:3886|issue:9936", + "issue:4483|issue:7708", + "issue:10029|issue:12174", + "issue:1866|issue:6218" + ], + "prepared_review_unit_hash": "7ff83e33041923527703caf93b96ae2e1b5e100dadf3c46504b58f4e607b5f04", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 35394, + "estimated_input_tokens": 8849, + "estimated_eval_tokens": 17954 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated attribute/import/runtime errors that only match at a very broad textual level. The only clear duplicate is the missing `config.json` report between issues 10169 and 4648.", + "confidence": 0.9, + "canonical_issue_reason": "issue:4648 is the most concrete version of the `config.json`-missing problem, with the explicit failing path and error text; issue:10169 is the same bug but stated more generically.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:4648 is the best representative of the true duplicate pair because it names the exact missing file and directory, making the underlying issue clearest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5374", + "right": "issue:852", + "accept": false, + "reason": "Both mention unexpected keyword arguments, but they refer to different arguments and likely different call sites." + }, + { + "left": "issue:8552", + "right": "issue:9889", + "accept": false, + "reason": "Both are segfault reports, but they involve different pipelines and different runtime setups; not the same concrete bug." + }, + { + "left": "issue:12174", + "right": "issue:7210", + "accept": false, + "reason": "Both are AttributeErrors, but on different missing methods in different code paths." + }, + { + "left": "issue:5374", + "right": "issue:9962", + "accept": false, + "reason": "Different unexpected keyword arguments; same error shape but not the same underlying defect." + }, + { + "left": "issue:7784", + "right": "issue:8320", + "accept": false, + "reason": "Different missing attributes in unrelated code paths." + }, + { + "left": "issue:4324", + "right": "issue:6996", + "accept": false, + "reason": "Both are NoneType-related errors, but the failing expressions and contexts are different." + }, + { + "left": "issue:4137", + "right": "issue:4255", + "accept": false, + "reason": "Both complain about output quality versus another implementation, but they are not the same bug or fix." + }, + { + "left": "issue:6570", + "right": "issue:9799", + "accept": false, + "reason": "Both are tensor size mismatches, but the shapes and pipelines differ; no clear shared root cause." + }, + { + "left": "issue:1263", + "right": "issue:4615", + "accept": false, + "reason": "Different missing import symbols; likely separate compatibility issues." + }, + { + "left": "issue:1444", + "right": "issue:6842", + "accept": false, + "reason": "Different missing imports for different pipeline classes." + }, + { + "left": "issue:12174", + "right": "issue:6324", + "accept": false, + "reason": "Different AttributeErrors with different objects and failure modes." + }, + { + "left": "issue:490", + "right": "issue:867", + "accept": false, + "reason": "Both concern memory, but one is general GPU memory use and the other is memory not being released in FastAPI; not the same bug." + }, + { + "left": "issue:3489", + "right": "issue:4868", + "accept": false, + "reason": "Different missing attributes on different objects and in different pipelines." + }, + { + "left": "issue:3290", + "right": "issue:8307", + "accept": false, + "reason": "A file flush NoneType error is unrelated to a missing exported class attribute." + }, + { + "left": "issue:5565", + "right": "issue:6967", + "accept": false, + "reason": "Both are dreambooth/LoRA script issues, but one is script startup and the other is a prior-preservation shape mismatch." + }, + { + "left": "issue:5919", + "right": "issue:646", + "accept": false, + "reason": "Both are missing-attribute errors, but on unrelated classes and code paths." + }, + { + "left": "issue:1709", + "right": "issue:9111", + "accept": false, + "reason": "ONNX tensor dtype conversion error versus a missing scheduler attribute; unrelated." + }, + { + "left": "issue:10169", + "right": "issue:4648", + "accept": true, + "reason": "Same underlying missing `config.json` problem; 4648 is the concrete report and 10169 is the generic duplicate." + }, + { + "left": "issue:1709", + "right": "issue:246", + "accept": false, + "reason": "Different errors in different components: ONNX tensor conversion versus missing transformer mixin import." + }, + { + "left": "issue:4483", + "right": "issue:9044", + "accept": false, + "reason": "Different SDXL-related failures: nondeterministic generation versus missing model file." + }, + { + "left": "issue:4086", + "right": "issue:4483", + "accept": false, + "reason": "Both are SDXL training/inference complaints, but one is controlnet training not working and the other is generator nondeterminism." + }, + { + "left": "issue:2044", + "right": "issue:9534", + "accept": false, + "reason": "Different missing attributes on different wrapper/model classes." + }, + { + "left": "issue:1565", + "right": "issue:6536", + "accept": false, + "reason": "Both mention OOM, but one is GPU selection behavior and the other is UNet3D training memory exhaustion." + }, + { + "left": "issue:3886", + "right": "issue:9936", + "accept": false, + "reason": "Both involve distributed training timeouts, but the scripts, models, and likely root causes differ." + }, + { + "left": "issue:4483", + "right": "issue:7708", + "accept": false, + "reason": "Nondeterminism versus missing tokenizer config file; unrelated." + }, + { + "left": "issue:10029", + "right": "issue:12174", + "accept": false, + "reason": "Both are attribute errors, but they concern different missing attributes and are not clearly the same bug." + }, + { + "left": "issue:1866", + "right": "issue:6218", + "accept": false, + "reason": "Both are pipeline behavior issues, but one is scheduler strength behavior and the other is batched seed handling." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: issue:10169 and issue:4648 both describe the same missing `config.json` problem, and the other soft-edge rejections stay conservative by relying on clearly different error contexts. No overstatement of evidence is apparent." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 30, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10436", + "issue:10612", + "issue:10933", + "issue:10989", + "issue:11062", + "issue:11178", + "issue:11209", + "issue:11224", + "issue:12499", + "issue:1260", + "issue:1263", + "issue:12896", + "issue:13429", + "issue:13430", + "issue:1495", + "issue:1925", + "issue:1962", + "issue:2390", + "issue:2437", + "issue:2635", + "issue:2676", + "issue:2830", + "issue:2838", + "issue:2904", + "issue:2984", + "issue:3432", + "issue:3453", + "issue:3728", + "issue:3788", + "issue:4094", + "issue:4241", + "issue:4779", + "issue:4945", + "issue:5455", + "issue:5630", + "issue:5689", + "issue:6149", + "issue:6636", + "issue:7228", + "issue:7513", + "issue:7593", + "issue:858", + "issue:9161", + "issue:9163", + "issue:9208", + "issue:9497", + "issue:9500", + "issue:9501" + ], + "soft_pairs": [ + "issue:10436|issue:1925", + "issue:10933|issue:6149", + "issue:1260|issue:6636", + "issue:1263|issue:1495", + "issue:2904|issue:7228", + "issue:4094|issue:4945", + "issue:7593|issue:858", + "issue:11209|issue:11224", + "issue:13429|issue:13430", + "issue:11062|issue:11209", + "issue:11062|issue:11224", + "issue:9500|issue:9501", + "issue:5455|issue:7513", + "issue:3728|issue:3788", + "issue:9161|issue:9163", + "issue:2830|issue:4779", + "issue:1962|issue:2984", + "issue:10612|issue:10989", + "issue:5630|issue:5689", + "issue:2838|issue:4241", + "issue:2390|issue:2437", + "issue:9497|issue:9500", + "issue:2635|issue:2676", + "issue:11178|issue:9208", + "issue:3432|issue:3453", + "issue:12499|issue:12896" + ], + "prepared_review_unit_hash": "d53e39062b6007f22d0486a8154c726d0bf5aa2b0346e07a7ea9f1098c169cb4", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34244, + "estimated_input_tokens": 8561, + "estimated_eval_tokens": 17378 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly several small duplicate candidates, not one single tight cluster. The clearest duplicate families are the generic LoRA-loading failures, T2I-Adapter support/pipeline requests, ControlNet from_single_file loading, and the two DPM++ scheduler-name questions.", + "confidence": 0.81, + "canonical_issue_reason": "issue:11224 is the broadest and cleanest umbrella for the LoRA-loading failure family: it is generic, open, and aligns with the more specific report in issue:11062 as well as the exact duplicate-like issue:11209.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11224 is the best overall issue candidate because its title is the most general and reusable for deduplicating related LoRA load failures without being tied to one specific model.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10436", + "right": "issue:1925", + "accept": false, + "reason": "Both are inpainting-loading complaints, but they involve different models and different failure modes (runwayml/stable-diffusion-inpainting vs SD2 half-precision)." + }, + { + "left": "issue:10933", + "right": "issue:6149", + "accept": false, + "reason": "Both mention IP-Adapter load errors, but they are for different model variants and likely different code paths." + }, + { + "left": "issue:1260", + "right": "issue:6636", + "accept": false, + "reason": "Both are import errors, but they concern unrelated symbols and unrelated breakages." + }, + { + "left": "issue:1263", + "right": "issue:1495", + "accept": false, + "reason": "Different missing imports with no clear shared bug or code path." + }, + { + "left": "issue:2904", + "right": "issue:7228", + "accept": false, + "reason": "AudioLDM scheduler failure and traced-model dtype attribute error are unrelated." + }, + { + "left": "issue:4094", + "right": "issue:4945", + "accept": false, + "reason": "One is a feature request, the other is a test request; not the same underlying change." + }, + { + "left": "issue:7593", + "right": "issue:858", + "accept": false, + "reason": "Different subsystems and different errors; no shared concrete bug." + }, + { + "left": "issue:11209", + "right": "issue:11224", + "accept": true, + "reason": "Near-identical generic LoRA loading failure titles; these look like the same underlying bug." + }, + { + "left": "issue:13429", + "right": "issue:13430", + "accept": true, + "reason": "Both are the same JoyAI-Image-Edit support request, phrased as add/support." + }, + { + "left": "issue:11062", + "right": "issue:11209", + "accept": true, + "reason": "Specific LoRA load failure report vs the generic LoRA loading error; same family and likely same bug." + }, + { + "left": "issue:11062", + "right": "issue:11224", + "accept": true, + "reason": "Same LoRA loading failure family; the specific CivitAI model report fits the broader generic issue." + }, + { + "left": "issue:9500", + "right": "issue:9501", + "accept": false, + "reason": "Both are Dreambooth Flux save-related, but one is a checkpoint failure and the other is a long delay; not clearly the same bug." + }, + { + "left": "issue:5455", + "right": "issue:7513", + "accept": false, + "reason": "Both involve training problems, but one is a notebook subprocess failure and the other is a GPU/memory training issue." + }, + { + "left": "issue:3728", + "right": "issue:3788", + "accept": false, + "reason": "Both are new pipeline feature requests, but for different pipelines/models." + }, + { + "left": "issue:9161", + "right": "issue:9163", + "accept": false, + "reason": "Same script, but the issues describe different bug classes (distributed bugs vs tensor bugs) rather than one concrete defect." + }, + { + "left": "issue:2830", + "right": "issue:4779", + "accept": false, + "reason": "Both reference ModelScope video ideas, but one is a capability question and the other is a pipeline request; not the same change." + }, + { + "left": "issue:1962", + "right": "issue:2984", + "accept": false, + "reason": "Generic video-generation interest vs a specific latent video diffusion paper/model request; not the same issue." + }, + { + "left": "issue:10612", + "right": "issue:10989", + "accept": false, + "reason": "Both mention quantized Flux + LoRA loading, but they target different pipelines/components and are not clearly the same bug." + }, + { + "left": "issue:5630", + "right": "issue:5689", + "accept": false, + "reason": "Similar symptom, but different schedulers and different issue scopes; too broad to treat as one bug." + }, + { + "left": "issue:2838", + "right": "issue:4241", + "accept": false, + "reason": "Unrelated ControlNet pipeline behavior question vs unidiffusers LoRA fine-tuning support request." + }, + { + "left": "issue:2390", + "right": "issue:2437", + "accept": true, + "reason": "Same T2I-Adapter feature area; one asks for support, the other for the pipeline addition." + }, + { + "left": "issue:2635", + "right": "issue:2676", + "accept": true, + "reason": "Both ask what diffusers scheduler names correspond to DPM++ Karras variants." + }, + { + "left": "issue:11178", + "right": "issue:9208", + "accept": true, + "reason": "Both are about ControlNet models failing to load with from_single_file(); one is specific, the other general." + }, + { + "left": "issue:9497", + "right": "issue:9500", + "accept": false, + "reason": "Both are Flux Dreambooth training issues, but one is a matmul shape error and the other is a checkpoint-saving problem." + }, + { + "left": "issue:12499", + "right": "issue:12896", + "accept": false, + "reason": "Same Wan 2.2 I2V area, but the failures are described differently and are not clearly the same concrete bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The judgments are conservative and supported by the packet. The summary correctly frames this as several small duplicate/support families rather than one tight cluster, and the accepted soft-edge pairs all have clear title-level similarity. No pair seems overclaimed beyond the evidence provided." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 31, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10144", + "issue:10343", + "issue:11062", + "issue:11209", + "issue:11224", + "issue:11286", + "issue:11374", + "issue:11569", + "issue:11657", + "issue:12047", + "issue:12052", + "issue:1214", + "issue:12458", + "issue:12459", + "issue:13311", + "issue:1925", + "issue:1962", + "issue:197", + "issue:199", + "issue:2462", + "issue:2838", + "issue:2941", + "issue:3061", + "issue:3094", + "issue:3284", + "issue:3363", + "issue:3451", + "issue:3884", + "issue:4680", + "issue:4708", + "issue:5118", + "issue:5594", + "issue:5603", + "issue:5633", + "issue:5889", + "issue:6418", + "issue:6584", + "issue:6636", + "issue:6689", + "issue:7330", + "issue:7418", + "issue:9042", + "issue:9148", + "issue:9237", + "issue:9497", + "issue:9551", + "issue:9692" + ], + "soft_pairs": [ + "issue:12458|issue:12459", + "issue:3284|issue:3363", + "issue:11209|issue:11286", + "issue:11224|issue:11286", + "issue:3094|issue:3451", + "issue:1962|issue:5889", + "issue:4680|issue:5594", + "issue:6584|issue:6689", + "issue:9042|issue:9148", + "issue:12047|issue:12052", + "issue:3884|issue:7330", + "issue:4708|issue:5603", + "issue:4708|issue:6636", + "issue:2462|issue:2838", + "issue:2941|issue:3061", + "issue:5118|issue:9551", + "issue:11374|issue:11569", + "issue:10144|issue:6418", + "issue:11062|issue:11286", + "issue:10343|issue:9692", + "issue:197|issue:199", + "issue:9237|issue:9497", + "issue:5633|issue:7418", + "issue:11657|issue:13311", + "issue:1214|issue:1925" + ], + "prepared_review_unit_hash": "a6f9e9840246a0acc5af535d32210fc9ad5e5cfaa348aaaf05510d27217e9d65", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33404, + "estimated_input_tokens": 8351, + "estimated_eval_tokens": 16958 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The only strong duplicate cluster here is the trio of generic LoRA-loading reports (11209/11224/11286). Most other pairs are broad topical neighbors but describe different models, pipelines, or symptoms, so they should stay separate.", + "confidence": 0.68, + "canonical_issue_reason": "issue:11224 is the best representative of the LoRA-loading error cluster: it has the same generic failure theme as 11209 and 11286, is open, and has the most discussion among the near-identical reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11224 is the most suitable global issue to keep as the canonical LoRA-loading problem report because it is the most central and actively discussed instance of that duplicate set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12458", + "right": "issue:12459", + "accept": false, + "reason": "Both mention batch inference, but one is a Qwen-image-edit feature/issue and the other is a FLUX.1-Kontext-dev throughput problem; different concrete use cases and likely different fixes." + }, + { + "left": "issue:3284", + "right": "issue:3363", + "accept": false, + "reason": "Both involve train_dreambooth_lora.py failures, but the reports point to different runtime contexts ('accelerate' vs 'two machines') and no evidence shows the same underlying bug." + }, + { + "left": "issue:11209", + "right": "issue:11286", + "accept": true, + "reason": "Same generic LoRA loading failure report with near-identical titles and very similar problem framing; likely duplicate reports of the same bug." + }, + { + "left": "issue:11224", + "right": "issue:11286", + "accept": true, + "reason": "Same generic LoRA loading failure report with near-identical titles and very similar problem framing; likely duplicate reports of the same bug." + }, + { + "left": "issue:3094", + "right": "issue:3451", + "accept": false, + "reason": "Both are training/memory related, but one is a CUDA OOM during a finetuning example and the other is fp16 using more memory than fp32; these are different issues." + }, + { + "left": "issue:1962", + "right": "issue:5889", + "accept": false, + "reason": "One is a general video-generation feature request, the other is the Stable Video Diffusion project/topic; they are related in area but not the same issue." + }, + { + "left": "issue:4680", + "right": "issue:5594", + "accept": false, + "reason": "Both mention SDXL fine-tuning, but one is about inpainting fine-tuning and the other is about memory savings with LoRA; different requests." + }, + { + "left": "issue:6584", + "right": "issue:6689", + "accept": false, + "reason": "Both are conversion-to-Diffusers problems, but for different source models (DreamShaper v8 Inpaint vs SSD-1B); not the same bug." + }, + { + "left": "issue:9042", + "right": "issue:9148", + "accept": false, + "reason": "These are separate feature requests: a Flux pipeline and a Flux inpainting pipeline; related, but not the same concrete change." + }, + { + "left": "issue:12047", + "right": "issue:12052", + "accept": false, + "reason": "One is a LoRA fusion failure on Wan2.2 GGUF, the other is an offloading device-mismatch runtime error; different code paths and symptoms." + }, + { + "left": "issue:3884", + "right": "issue:7330", + "accept": false, + "reason": "Both reference train_text_to_image_lora.py, but the reported failures are different and the titles do not establish the same underlying defect." + }, + { + "left": "issue:4708", + "right": "issue:5603", + "accept": false, + "reason": "Both are import-related, but one is a generic diffusers.utils import error and the other is a missing specific symbol; insufficient evidence they are the same bug." + }, + { + "left": "issue:4708", + "right": "issue:6636", + "accept": false, + "reason": "Same as above: both are import problems, but the exact missing names/problems differ and could stem from separate compatibility issues." + }, + { + "left": "issue:2462", + "right": "issue:2838", + "accept": false, + "reason": "One requests IterableDataset support for finetuning, the other asks for a controlnet_pipeline behavior change; unrelated." + }, + { + "left": "issue:2941", + "right": "issue:3061", + "accept": false, + "reason": "Both concern Stable Diffusion behavior, but one is a scheduler quality issue and the other is a reproducibility issue; not the same defect." + }, + { + "left": "issue:5118", + "right": "issue:9551", + "accept": false, + "reason": "Both mention ControlNet usage, but one is about reference_only in diffusers and the other about x-labs Flux controlnet models; different models and integrations." + }, + { + "left": "issue:11374", + "right": "issue:11569", + "accept": false, + "reason": "Separate feature requests for different model families (SkyReels-V2 vs ltxv-13b-0.9.7-distilled); not duplicates." + }, + { + "left": "issue:10144", + "right": "issue:6418", + "accept": false, + "reason": "Both involve video diffusion, but one is a quality comparison against official Mochi code and the other is stable video diffusion frames collapsing to the first frame; distinct problems." + }, + { + "left": "issue:11062", + "right": "issue:11286", + "accept": false, + "reason": "Both are LoRA loading issues, but they target different model families and one is a concrete CivitAI LoRA error while the other is a generic loading failure." + }, + { + "left": "issue:10343", + "right": "issue:9692", + "accept": false, + "reason": "Both mention CogView3-Plus-3B, but one is a black-image runtime warning and the other is a startup error; not enough evidence they are the same bug." + }, + { + "left": "issue:197", + "right": "issue:199", + "accept": false, + "reason": "Both are dead-code cleanup requests in different modules (ResNet vs Attention), not duplicates." + }, + { + "left": "issue:9237", + "right": "issue:9497", + "accept": false, + "reason": "Both are about Flux training, but one is a general dreambooth LoRA issue and the other is a specific mat2 dimensionality runtime error; different defects." + }, + { + "left": "issue:5633", + "right": "issue:7418", + "accept": false, + "reason": "Both involve transformer-related bugs, but they are in different files/components and describe different failures." + }, + { + "left": "issue:11657", + "right": "issue:13311", + "accept": false, + "reason": "Both are LoRA-key-mismatch reports, but they affect different model architectures (WanTransformer3DModel vs Flux2Transformer2DModel) and are not the same code path." + }, + { + "left": "issue:1214", + "right": "issue:1925", + "accept": false, + "reason": "Both concern half precision, but one is CLIPTextModel-specific and the other is a stable-diffusion-2-inpainting pipeline issue; not the same underlying bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the duplicate judgments are conservative overall. The canonical LoRA-loading cluster around 11209/11224/11286 is well supported by the near-identical titles and higher discussion on 11224, and the false pairs are mostly justified by distinct models, pipelines, or symptoms." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 32, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10226", + "issue:10282", + "issue:10749", + "issue:10848", + "issue:10869", + "issue:10872", + "issue:10958", + "issue:11315", + "issue:11824", + "issue:11839", + "issue:11865", + "issue:12216", + "issue:12645", + "issue:12653", + "issue:2830", + "issue:2966", + "issue:3019", + "issue:3026", + "issue:3420", + "issue:3774", + "issue:3885", + "issue:4185", + "issue:4398", + "issue:4520", + "issue:4708", + "issue:4733", + "issue:4736", + "issue:4872", + "issue:5226", + "issue:5227", + "issue:5757", + "issue:6794", + "issue:7168", + "issue:7263", + "issue:7306", + "issue:7492", + "issue:7513", + "issue:7621", + "issue:8359", + "issue:8939", + "issue:9026", + "issue:9141", + "issue:9237", + "issue:9448", + "issue:9497", + "issue:9548", + "issue:9857" + ], + "soft_pairs": [ + "issue:11315|issue:12653", + "issue:4708|issue:6794", + "issue:7168|issue:7306", + "issue:2966|issue:3026", + "issue:7621|issue:8359", + "issue:4736|issue:4872", + "issue:10749|issue:10872", + "issue:7263|issue:9448", + "issue:5226|issue:5227", + "issue:3420|issue:4520", + "issue:7513|issue:9237", + "issue:10226|issue:9857", + "issue:11824|issue:11839", + "issue:10848|issue:9026", + "issue:4733|issue:5757", + "issue:10869|issue:10958", + "issue:7492|issue:8939", + "issue:12216|issue:12645", + "issue:3774|issue:3885", + "issue:11865|issue:9141", + "issue:2830|issue:3019", + "issue:10282|issue:11839", + "issue:9497|issue:9548", + "issue:4185|issue:4398" + ], + "prepared_review_unit_hash": "7f539a42fa98424d88fdbb802043cf22c45e52da1c8c75d5bc3d077d6f9c0108", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33890, + "estimated_input_tokens": 8473, + "estimated_eval_tokens": 17202 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly heterogeneous, but there is one clear duplicate pair around the HiDream RoPE float64/MPS regression. Most other soft pairs look like related symptom families, not the same concrete bug.", + "confidence": 0.82, + "canonical_issue_reason": "Issue 11315 is the cleanest canonical anchor: it states the concrete failure (RoPE float64 on MPS) clearly, and 12653 is effectively the same bug with the same root symptom.", + "canonical_pr_reason": null, + "best_issue_reason": "11315 is the most specific and actionable issue in the only strong duplicate pair, making it the best representative for triage.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11315", + "right": "issue:12653", + "accept": true, + "reason": "Same RoPE float64 regression causing MPS breakage; 12653 is a near-direct restatement of the same bug on related hardware." + }, + { + "left": "issue:4708", + "right": "issue:6794", + "accept": false, + "reason": "Both are import errors, but they point to different missing symbols/modules and do not look like the same underlying defect." + }, + { + "left": "issue:7168", + "right": "issue:7306", + "accept": false, + "reason": "Both involve tensor-shape/type complaints, but they are different pipelines and different failure modes." + }, + { + "left": "issue:2966", + "right": "issue:3026", + "accept": false, + "reason": "Same example script family, but one is multi-GPU training and the other is a single-GPU launch error; not the same bug." + }, + { + "left": "issue:7621", + "right": "issue:8359", + "accept": false, + "reason": "Different features: one is an InstructPix2Pix/cosxl_edit incompatibility, the other is from_single_file/custom checkpoint loading." + }, + { + "left": "issue:4736", + "right": "issue:4872", + "accept": false, + "reason": "Both mention SDXL finetuning instability/OOM, but one is a specific training-script crash with invalid casts and the other is generic low-VRAM OOM." + }, + { + "left": "issue:10749", + "right": "issue:10872", + "accept": false, + "reason": "Completely different requests: GGUF support for Lumina2 versus from_single_file support for SanaTransformer2DModel." + }, + { + "left": "issue:7263", + "right": "issue:9448", + "accept": false, + "reason": "Both are IP-Adapter-related, but the errors and pipelines differ; this is not the same concrete code-path problem." + }, + { + "left": "issue:5226", + "right": "issue:5227", + "accept": false, + "reason": "One is about load_lora_weights on SDXL AdapterPipeline, the other about load_lora_weight with torch.compile; related area, different bugs." + }, + { + "left": "issue:3420", + "right": "issue:4520", + "accept": false, + "reason": "Different functionality: ControlNet/inpaint pipeline failure versus LoRA scale with attention slicing." + }, + { + "left": "issue:7513", + "right": "issue:9237", + "accept": false, + "reason": "Both involve training, but they are different pipelines (SDXL DreamBooth vs Flux DreamBooth LoRA) and different issue reports." + }, + { + "left": "issue:10226", + "right": "issue:9857", + "accept": false, + "reason": "Both are FLUX training shape mismatches, but one is DreamBooth LoRA and the other is ControlNet embedding mismatch; not clearly the same bug." + }, + { + "left": "issue:11824", + "right": "issue:11839", + "accept": false, + "reason": "Same pipeline family, but one is multi-image input handling and the other is GGUF invalid input sizing; different problems." + }, + { + "left": "issue:10848", + "right": "issue:9026", + "accept": false, + "reason": "Both are signature-mismatch errors in loading helpers, but they involve different functions and different kwargs." + }, + { + "left": "issue:4733", + "right": "issue:5757", + "accept": false, + "reason": "Both mention checkpoint resume in DreamBooth LoRA scripts, but they are separate reports with no evidence of the same root cause." + }, + { + "left": "issue:10869", + "right": "issue:10958", + "accept": false, + "reason": "Both involve meta tensors, but the exact errors and affected pipelines differ; too broad to treat as the same bug." + }, + { + "left": "issue:7492", + "right": "issue:8939", + "accept": false, + "reason": "Unrelated loading failures: one is a missing repository, the other is a tokenizer loading error for a different model." + }, + { + "left": "issue:12216", + "right": "issue:12645", + "accept": false, + "reason": "Both are Qwen-Image-related, but one is quality regression and the other is performance; not the same issue." + }, + { + "left": "issue:3774", + "right": "issue:3885", + "accept": false, + "reason": "Both concern VRAM/ZeRO memory, but one is a specific zero3 training observation and the other is a general memory-reduction question." + }, + { + "left": "issue:11865", + "right": "issue:9141", + "accept": false, + "reason": "Both ask for from_single_file support, but for different model classes and different pipelines." + }, + { + "left": "issue:2830", + "right": "issue:3019", + "accept": false, + "reason": "Completely different feature requests with no shared bug/change." + }, + { + "left": "issue:10282", + "right": "issue:11839", + "accept": false, + "reason": "Shape mismatch while loading x_embedder versus invalid input size for GGUF; different failures." + }, + { + "left": "issue:9497", + "right": "issue:9548", + "accept": false, + "reason": "Related FLUX DreamBooth/LoRA area, but 9548 is a follow-up to a different issue chain and does not clearly match the mat2/1-D tensor failure." + }, + { + "left": "issue:4185", + "right": "issue:4398", + "accept": false, + "reason": "Both are black-image reports, but one is SDXL ControlNet inference and the other is SDXL LoRA DreamBooth training; different bugs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The assessment is well grounded in the packet and stays conservative. The 11315/12653 pair is clearly the strongest match from the titles/body, while the other soft pairs are appropriately treated as related-symptom or feature-adjacent rather than definite duplicates." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 33, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10937", + "issue:11464", + "issue:11630", + "issue:11674", + "issue:11864", + "issue:12009", + "issue:12047", + "issue:12459", + "issue:2052", + "issue:2089", + "issue:2244", + "issue:2250", + "issue:2636", + "issue:2883", + "issue:3289", + "issue:3391", + "issue:3728", + "issue:3788", + "issue:3826", + "issue:4213", + "issue:4733", + "issue:4779", + "issue:4872", + "issue:5005", + "issue:5226", + "issue:5412", + "issue:5840", + "issue:6201", + "issue:6274", + "issue:6275", + "issue:6277", + "issue:6363", + "issue:7057", + "issue:7142", + "issue:7355", + "issue:7432", + "issue:7644", + "issue:771", + "issue:8645", + "issue:8723", + "issue:9012", + "issue:9115", + "issue:9187", + "issue:9343", + "issue:9667", + "issue:9873", + "issue:9914" + ], + "soft_pairs": [ + "issue:2636|issue:5005", + "issue:8723|issue:9012", + "issue:6274|issue:6275", + "issue:11464|issue:12459", + "issue:10937|issue:11864", + "issue:6277|issue:6363", + "issue:3728|issue:9873", + "issue:9343|issue:9667", + "issue:7142|issue:7432", + "issue:7355|issue:7644", + "issue:3788|issue:9873", + "issue:9115|issue:9187", + "issue:2052|issue:4733", + "issue:3289|issue:3391", + "issue:11630|issue:11674", + "issue:2244|issue:2250", + "issue:9343|issue:9914", + "issue:7057|issue:771", + "issue:6201|issue:8645", + "issue:2089|issue:4872", + "issue:3788|issue:3826", + "issue:5412|issue:5840", + "issue:4213|issue:5226", + "issue:12009|issue:12047", + "issue:2883|issue:4779" + ], + "prepared_review_unit_hash": "a4211212ed4f6adec3b0e07b021d947af007803cf3df869fe092745bd94ffeea", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33766, + "estimated_input_tokens": 8442, + "estimated_eval_tokens": 17140 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous cluster of training, loading, and feature-request issues. The only clear duplicates are a few checkpoint-resume, SD3ControlNet from_transformer, and Stable Cascade resolution pairs; most other soft pairs are just same-subsystem similarity, not the same bug.", + "confidence": 0.74, + "canonical_issue_reason": "If a single issue must anchor this mixed set, #9343 is the best representative because it is a concrete, active FLUX loading bug rather than a feature request or a vague symptom.", + "canonical_pr_reason": null, + "best_issue_reason": "#9343 is the strongest global issue candidate: specific, open, and central to the cluster\u2019s recurring model-loading failures.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2636", + "right": "issue:5005", + "accept": true, + "reason": "Both describe the same checkpoint-resume progress bar miscount/truncation behavior in training scripts." + }, + { + "left": "issue:8723", + "right": "issue:9012", + "accept": true, + "reason": "Same SD3ControlNetModel.from_transformer initialization/load-weights failure." + }, + { + "left": "issue:6274", + "right": "issue:6275", + "accept": false, + "reason": "Related adapter area, but one is about multiple adapters breaking and the other about unsupported adapter models; not the same concrete bug." + }, + { + "left": "issue:11464", + "right": "issue:12459", + "accept": false, + "reason": "Different FLUX problems: one is LoRA loading into FluxControlPipeline, the other is batch inference throughput." + }, + { + "left": "issue:10937", + "right": "issue:11864", + "accept": false, + "reason": "Both mention torch.compile, but they involve different encode paths and different failures, so not the same bug." + }, + { + "left": "issue:6277", + "right": "issue:6363", + "accept": false, + "reason": "One is a vague gradient issue; the other is a specific FP16 unscale error in a training script." + }, + { + "left": "issue:3728", + "right": "issue:9873", + "accept": false, + "reason": "Both are pipeline requests, but for different models/features and not the same change." + }, + { + "left": "issue:9343", + "right": "issue:9667", + "accept": false, + "reason": "Both are FLUX loading issues, but they hit different code paths and failure modes." + }, + { + "left": "issue:7142", + "right": "issue:7432", + "accept": false, + "reason": "Both compare Diffusers to WebUI output, but they are different inference-quality complaints and not a duplicate bug." + }, + { + "left": "issue:7355", + "right": "issue:7644", + "accept": true, + "reason": "Both target Stable Cascade failures on non-standard image sizes / arbitrary resolutions." + }, + { + "left": "issue:3788", + "right": "issue:9873", + "accept": false, + "reason": "Different new-pipeline requests for different models." + }, + { + "left": "issue:9115", + "right": "issue:9187", + "accept": false, + "reason": "Different adapters and different failure modes; not the same underlying bug." + }, + { + "left": "issue:2052", + "right": "issue:4733", + "accept": false, + "reason": "Both are resume-related training issues, but for different scripts and errors." + }, + { + "left": "issue:3289", + "right": "issue:3391", + "accept": false, + "reason": "Same DeepFloyd SR area, but the reported symptoms and triggers are not clearly the same bug." + }, + { + "left": "issue:11630", + "right": "issue:11674", + "accept": false, + "reason": "Separate feature requests: single-file loading versus extra ref-image/multi-video support." + }, + { + "left": "issue:2244", + "right": "issue:2250", + "accept": false, + "reason": "Both are DreamBooth inference bugs, but one is a CPU/half-precision runtime error and the other is a prompt-generation failure." + }, + { + "left": "issue:9343", + "right": "issue:9914", + "accept": false, + "reason": "Both are FLUX-related loading problems, but one is a mismatched-size loading bug and the other is a LoRA loading issue." + }, + { + "left": "issue:7057", + "right": "issue:771", + "accept": false, + "reason": "Both concern checkpoint/model compatibility, but they are unrelated model/training failures." + }, + { + "left": "issue:6201", + "right": "issue:8645", + "accept": false, + "reason": "Prompt-encoding bug versus a missing helper function; unrelated issues." + }, + { + "left": "issue:2089", + "right": "issue:4872", + "accept": false, + "reason": "Both are OOM training reports, but they involve different models and setups." + }, + { + "left": "issue:3788", + "right": "issue:3826", + "accept": false, + "reason": "Different new pipeline requests." + }, + { + "left": "issue:5412", + "right": "issue:5840", + "accept": true, + "reason": "Same train_dreambooth_lora_sdxl.py resume-from-checkpoint failure." + }, + { + "left": "issue:4213", + "right": "issue:5226", + "accept": false, + "reason": "Different feature/compatibility problems: from_single_file without accelerate versus LoRA loading on AdapterPipeline." + }, + { + "left": "issue:12009", + "right": "issue:12047", + "accept": false, + "reason": "Same Wan2.2 GGUF area, but one is model loading from single file and the other is LoRA fusion; different code paths." + }, + { + "left": "issue:2883", + "right": "issue:4779", + "accept": false, + "reason": "Both are image-to-video related, but one is a generic pipeline request and the other is a specific ModelScope pipeline request." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and stays conservative on the ambiguous pairs. The accepted soft edges are defensible duplicates or near-duplicates based on the issue titles and described failure modes, and the rejected pairs are appropriately treated as same-subsystem similarity rather than clear duplicates. The canonical issue choice is also reasonable for this mixed cluster." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 34, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10350", + "issue:10472", + "issue:10653", + "issue:10848", + "issue:11948", + "issue:12082", + "issue:12195", + "issue:12458", + "issue:12645", + "issue:1495", + "issue:2089", + "issue:2294", + "issue:2392", + "issue:2459", + "issue:2560", + "issue:2772", + "issue:2774", + "issue:2891", + "issue:3008", + "issue:3094", + "issue:3112", + "issue:3184", + "issue:3569", + "issue:3631", + "issue:3639", + "issue:4000", + "issue:4580", + "issue:5314", + "issue:5433", + "issue:5465", + "issue:5577", + "issue:5661", + "issue:5846", + "issue:5917", + "issue:6073", + "issue:6183", + "issue:6295", + "issue:7147", + "issue:7185", + "issue:7209", + "issue:7210", + "issue:7267", + "issue:771", + "issue:8494", + "issue:852", + "issue:9501", + "issue:9727", + "issue:9953" + ], + "soft_pairs": [ + "issue:10653|issue:9953", + "issue:10350|issue:12082", + "issue:3569|issue:3639", + "issue:5433|issue:6295", + "issue:2772|issue:7267", + "issue:5577|issue:6183", + "issue:9501|issue:9727", + "issue:2089|issue:3094", + "issue:1495|issue:7147", + "issue:3008|issue:3184", + "issue:12195|issue:7185", + "issue:5661|issue:5917", + "issue:2774|issue:4000", + "issue:11948|issue:7209", + "issue:12458|issue:12645", + "issue:3631|issue:4580", + "issue:5846|issue:6073", + "issue:2392|issue:2560", + "issue:2459|issue:771", + "issue:2891|issue:5465", + "issue:10472|issue:10848", + "issue:8494|issue:852", + "issue:2294|issue:7147", + "issue:6183|issue:7210", + "issue:3112|issue:5314" + ], + "prepared_review_unit_hash": "b30b36c82858c05d5fa132dcdb183e92720e72d2e897f606125b7f52a862459a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34789, + "estimated_input_tokens": 8698, + "estimated_eval_tokens": 17652 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly noisy, but there are two credible duplicate-like issue pairs: `train_controlnet.py` local data loading (`2772`/`7267`) and `lpw_stable_diffusion` generator handling (`3008`/`3184`). The rest are broad-similarity or clearly distinct bugs/features.", + "confidence": 0.8, + "canonical_issue_reason": "issue:2772 is the best issue anchor because it gives the clearest, most concrete description of the `train_controlnet.py` local dataset loading failure. It reads like the most substantive report in that thread, while issue:7267 is also similar but not clearly a subordinate follow-up from the packet alone.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2772 is the strongest representative issue because it targets a specific code path (`train_controlnet.py` local data loading) and has the most actionable bug framing. The cluster also contains another likely duplicate-like pair (`3008`/`3184`), so `2772` is the best anchor rather than the only duplicate-like thread.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10653", + "right": "issue:9953", + "accept": false, + "reason": "Both are quantized/model device-movement complaints, but one is about `.to(cpu)` after 8bit load and the other about `.to(cuda)` on a quantized component; similar symptom, different bug path." + }, + { + "left": "issue:10350", + "right": "issue:12082", + "accept": false, + "reason": "Both mention high VAE memory use, but they concern different models and scenarios (`SD2.1` decoder vs `wan2.1` VAE after compile)." + }, + { + "left": "issue:3569", + "right": "issue:3639", + "accept": false, + "reason": "These are separate new-pipeline requests (`Uni-ControlNet` vs `GlyphControl`), not the same underlying change." + }, + { + "left": "issue:5433", + "right": "issue:6295", + "accept": false, + "reason": "Both discuss scheduler artifacts, but the concrete settings and failure modes differ enough that they do not look like one fixable bug." + }, + { + "left": "issue:2772", + "right": "issue:7267", + "accept": true, + "reason": "Both report `train_controlnet.py` failing on valid local dataset loading, and the second is a much shorter restatement of the same underlying bug." + }, + { + "left": "issue:5577", + "right": "issue:6183", + "accept": false, + "reason": "Both are conversion/loading issues, but one is a `ControlNetModel.from_single_file` KeyError and the other is an SDXL shape mismatch; different failures." + }, + { + "left": "issue:9501", + "right": "issue:9727", + "accept": false, + "reason": "Both involve FLUX DreamBooth saving, but one is a delayed save and the other is a multigpu save problem; not clearly the same code-path bug." + }, + { + "left": "issue:2089", + "right": "issue:3094", + "accept": false, + "reason": "Both are OOM training reports, but they are for different scripts and contexts; the shared symptom is too broad to treat as a duplicate." + }, + { + "left": "issue:1495", + "right": "issue:7147", + "accept": false, + "reason": "Both are import errors, but they involve different missing symbols from different modules." + }, + { + "left": "issue:3008", + "right": "issue:3184", + "accept": true, + "reason": "Both point to `lpw_stable_diffusion` mishandling generator inputs on the same pipeline/code path, so they look like the same bug." + }, + { + "left": "issue:12195", + "right": "issue:7185", + "accept": false, + "reason": "`torch.library.custom_op` missing in PyTorch 2.3.1 is a specific compatibility break, while the other issue is a broad question about PyTorch 2.2.0 support." + }, + { + "left": "issue:5661", + "right": "issue:5917", + "accept": false, + "reason": "These are different import/version failures in different parts of the library." + }, + { + "left": "issue:2774", + "right": "issue:4000", + "accept": false, + "reason": "Both are conversion-related, but one is ControlNet safetensors conversion and the other is Stable Diffusion 2.0 ckpt conversion; too broad to merge." + }, + { + "left": "issue:11948", + "right": "issue:7209", + "accept": false, + "reason": "Both involve offline loading, but one is `from_pretrained` on WanTransformer3DModel and the other is `from_single_file` on a local safetensor; different API paths." + }, + { + "left": "issue:12458", + "right": "issue:12645", + "accept": false, + "reason": "Batch inference/feature-request discussion is not the same as a slowdown comparison against ComfyUI." + }, + { + "left": "issue:3631", + "right": "issue:4580", + "accept": false, + "reason": "Different pipelines and failures: latents in inpainting vs `use_karras_sigmas` in UniPC scheduling." + }, + { + "left": "issue:5846", + "right": "issue:6073", + "accept": false, + "reason": "A specific `resume_from_checkpoint` error in SDXL LoRA training is unrelated to a beginner help/setup request." + }, + { + "left": "issue:2392", + "right": "issue:2560", + "accept": false, + "reason": "One is a prompt_embeds validation bug; the other is differing outputs with generator lists. They do not share the same failure mode." + }, + { + "left": "issue:2459", + "right": "issue:771", + "accept": false, + "reason": "Different training-time compatibility issues (`xformers` enablement vs BF16 support) with no shared bug path." + }, + { + "left": "issue:2891", + "right": "issue:5465", + "accept": false, + "reason": "Docs/support mismatch for embeds in an upscale pipeline is unrelated to DPM++ artifact issues." + }, + { + "left": "issue:10472", + "right": "issue:10848", + "accept": false, + "reason": "One is a LoRA `lora_bias` constructor argument error; the other is a `load_model_dict_into_meta` `device` keyword error. Different APIs and failures." + }, + { + "left": "issue:8494", + "right": "issue:852", + "accept": false, + "reason": "Both are unexpected keyword-argument errors, but for different options (`force_hooks` vs `device_map`) and different versions/platforms." + }, + { + "left": "issue:2294", + "right": "issue:7147", + "accept": false, + "reason": "Different missing imports (`StableDiffusionVideoInpaintPipeline` vs `StableCascadeDecoderPipeline`) and not the same underlying issue." + }, + { + "left": "issue:6183", + "right": "issue:7210", + "accept": false, + "reason": "`from_single_file` shape mismatch and `named_parameters` missing during accelerate dispatch are separate pipeline/model integration bugs." + }, + { + "left": "issue:3112", + "right": "issue:5314", + "accept": false, + "reason": "Both are ControlNet-related, but they are different pipeline features rather than the same change." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The core anchor choice is reasonable, but the reasoning is a bit too strong for the packet. In particular, calling issue:2772 the cluster\u2019s \"only clear duplicate-like thread\" overstates the evidence because the packet also supports another accepted duplicate-like pair (issue:3008 / issue:3184). Also, describing issue:7267 as a \"follow-up\" is not directly grounded in the provided data. The rest of the soft-edge calls look appropriately conservative." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 35, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1013", + "issue:10994", + "issue:11045", + "issue:11127", + "issue:1181", + "issue:1214", + "issue:12195", + "issue:12666", + "issue:13277", + "issue:13319", + "issue:1538", + "issue:1614", + "issue:1962", + "issue:2163", + "issue:2371", + "issue:2480", + "issue:3221", + "issue:3450", + "issue:3694", + "issue:4210", + "issue:4480", + "issue:4566", + "issue:4616", + "issue:4708", + "issue:4724", + "issue:5025", + "issue:5128", + "issue:5226", + "issue:5442", + "issue:5633", + "issue:579", + "issue:5931", + "issue:6574", + "issue:6791", + "issue:692", + "issue:7223", + "issue:7239", + "issue:7243", + "issue:7483", + "issue:7708", + "issue:7871", + "issue:8659", + "issue:9343", + "issue:9525", + "issue:9803", + "issue:9914", + "issue:993", + "issue:9971" + ], + "soft_pairs": [ + "issue:12195|issue:12666", + "issue:1013|issue:1538", + "issue:2371|issue:2480", + "issue:4708|issue:5025", + "issue:9803|issue:9914", + "issue:1181|issue:692", + "issue:4480|issue:5931", + "issue:10994|issue:11045", + "issue:4566|issue:7239", + "issue:11127|issue:9971", + "issue:5442|issue:7243", + "issue:4724|issue:6574", + "issue:3221|issue:3450", + "issue:579|issue:7708", + "issue:4616|issue:7483", + "issue:5128|issue:7871", + "issue:1214|issue:5226", + "issue:1962|issue:7223", + "issue:4210|issue:5633", + "issue:9343|issue:9525", + "issue:1614|issue:993", + "issue:13277|issue:13319", + "issue:2163|issue:3694", + "issue:6791|issue:8659" + ], + "prepared_review_unit_hash": "288343a31a244270d462d2ea8d4d26be16ea93cc94abac4086d205d6b96b2006", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34034, + "estimated_input_tokens": 8509, + "estimated_eval_tokens": 17274 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous and not a true duplicate set. The only likely duplicate pair is the SDXL LoRA conversion-script reports (4616/7483); the rest look like distinct bugs, feature requests, or unrelated failure modes.", + "confidence": 0.58, + "canonical_issue_reason": "Issue 7483 is the clearest, most specific report of the SDXL LoRA conversion-script failure, and it matches the only plausible duplicate pair in this set.", + "canonical_pr_reason": null, + "best_issue_reason": "7483 is the best duplicate target here because it describes a concrete, actionable SDXL LoRA conversion problem with the most precise scope.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12195", + "right": "issue:12666", + "accept": false, + "reason": "Different problems: PyTorch custom_op incompatibility vs a missing pipeline feature." + }, + { + "left": "issue:1013", + "right": "issue:1538", + "accept": false, + "reason": "Both mention StableDiffusionMegaPipeline, but one is a version incompatibility and the other is a model-specific failure." + }, + { + "left": "issue:2371", + "right": "issue:2480", + "accept": false, + "reason": "Dreambooth-related, but the symptoms differ: missing outputs vs checkpoint directory structure." + }, + { + "left": "issue:4708", + "right": "issue:5025", + "accept": false, + "reason": "Both are import issues, but one is a generic diffusers.utils import error and the other is a specific randn_tensor import failure." + }, + { + "left": "issue:9803", + "right": "issue:9914", + "accept": false, + "reason": "Both involve Flux LoRA loading, but they appear to be different code paths and failure modes." + }, + { + "left": "issue:1181", + "right": "issue:692", + "accept": false, + "reason": "Training from scratch is not the same as asking for a fine-tuning example." + }, + { + "left": "issue:4480", + "right": "issue:5931", + "accept": false, + "reason": "One is an MPS fp16 kernel crash; the other is nondeterministic generation." + }, + { + "left": "issue:10994", + "right": "issue:11045", + "accept": false, + "reason": "Same script family, but batch-size crash and model-loading crash are different bugs." + }, + { + "left": "issue:4566", + "right": "issue:7239", + "accept": false, + "reason": "Checkpoint resume failure vs SDXL LoRA shape mismatch are distinct issues." + }, + { + "left": "issue:11127", + "right": "issue:9971", + "accept": false, + "reason": "Different components: QwenImage/Ulysses batch-input failure vs Flux scheduler behavior." + }, + { + "left": "issue:5442", + "right": "issue:7243", + "accept": false, + "reason": "Different pipelines/features; only a broad diffusion-model similarity." + }, + { + "left": "issue:4724", + "right": "issue:6574", + "accept": false, + "reason": "Img2Img checkpoint behavior and SVD tensor warning are unrelated." + }, + { + "left": "issue:3221", + "right": "issue:3450", + "accept": false, + "reason": "Both are loading-related, but they target different APIs and failures." + }, + { + "left": "issue:579", + "right": "issue:7708", + "accept": false, + "reason": "Both mention config.json, but one is textual inversion and the other is an SDXL model packaging issue." + }, + { + "left": "issue:4616", + "right": "issue:7483", + "accept": true, + "reason": "Same underlying bug family: the LoRA-to-Diffusers conversion script failing for SDXL base models." + }, + { + "left": "issue:5128", + "right": "issue:7871", + "accept": false, + "reason": "Single-file loading error vs blockwise-scale LoRA error are different problems." + }, + { + "left": "issue:1214", + "right": "issue:5226", + "accept": false, + "reason": "Half-precision CLIPTextModel issue is unrelated to LoRA loading in StableDiffusionXLAdapterPipeline." + }, + { + "left": "issue:1962", + "right": "issue:7223", + "accept": false, + "reason": "One is a generic video-generation request; the other is a specific Latte feature proposal." + }, + { + "left": "issue:4210", + "right": "issue:5633", + "accept": false, + "reason": "UNet attention_mask usage question is unrelated to a transformer_temporal.py bug." + }, + { + "left": "issue:9343", + "right": "issue:9525", + "accept": false, + "reason": "Both are Flux-related, but model-loading flags and lora_scale behavior are different code paths." + }, + { + "left": "issue:1614", + "right": "issue:993", + "accept": false, + "reason": "Both involve precision, but one is black outputs and the other is a dtype mismatch error." + }, + { + "left": "issue:13277", + "right": "issue:13319", + "accept": false, + "reason": "Same model family, but forward batch-input failure and backward-pass failure are not the same bug." + }, + { + "left": "issue:2163", + "right": "issue:3694", + "accept": false, + "reason": "Training script dtype mismatch vs missing model files are different setup/runtime problems." + }, + { + "left": "issue:6791", + "right": "issue:8659", + "accept": false, + "reason": "Same example script, but a general run failure is not the same as resume/inference-loading problems." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The accepted 4616/7483 pair is plausibly the same SDXL LoRA conversion-script bug from the titles alone, and the other soft-edge rejections are reasonable given the differing failure modes or feature requests." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 36, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10169", + "issue:10591", + "issue:10671", + "issue:10722", + "issue:11314", + "issue:11417", + "issue:1214", + "issue:1976", + "issue:2132", + "issue:2459", + "issue:2941", + "issue:3094", + "issue:3325", + "issue:3706", + "issue:3884", + "issue:4389", + "issue:4492", + "issue:4593", + "issue:4697", + "issue:4872", + "issue:5963", + "issue:6028", + "issue:6137", + "issue:6176", + "issue:6383", + "issue:6415", + "issue:6548", + "issue:6741", + "issue:6914", + "issue:7057", + "issue:7185", + "issue:7405", + "issue:7513", + "issue:7589", + "issue:8236", + "issue:8307", + "issue:8534", + "issue:861", + "issue:8613", + "issue:8708", + "issue:8839", + "issue:8909", + "issue:9141", + "issue:9343", + "issue:9450", + "issue:9548", + "issue:9799", + "issue:9857" + ], + "soft_pairs": [ + "issue:5963|issue:6028", + "issue:4593|issue:4697", + "issue:6383|issue:7185", + "issue:6176|issue:8839", + "issue:7513|issue:9548", + "issue:3094|issue:4872", + "issue:1214|issue:7589", + "issue:9799|issue:9857", + "issue:10671|issue:9450", + "issue:7057|issue:861", + "issue:2132|issue:6741", + "issue:3706|issue:7405", + "issue:4389|issue:9343", + "issue:4697|issue:6176", + "issue:6137|issue:8236", + "issue:10722|issue:9857", + "issue:6415|issue:6914", + "issue:8613|issue:8909", + "issue:2941|issue:6548", + "issue:10591|issue:11314", + "issue:10169|issue:1976", + "issue:3325|issue:3884", + "issue:11417|issue:4492", + "issue:2459|issue:7057", + "issue:8307|issue:9141", + "issue:8534|issue:8708" + ], + "prepared_review_unit_hash": "966490c542651aeb8a3b5f57448c152f626c680d23b0f2b86f5d3631e1ade51f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34795, + "estimated_input_tokens": 8699, + "estimated_eval_tokens": 17654 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are only broadly similar (same model family or same kind of error) and should not be merged. The only clear duplicate-like match is the multi-GPU LR scheduler step-count bug: #6137 and #8236.", + "confidence": 0.93, + "canonical_issue_reason": "#6137 is the broader, more general report of the underlying scheduler step-count bug in multi-GPU training, so it is the best canonical issue for the duplicate pair.", + "canonical_pr_reason": null, + "best_issue_reason": "#6137 best represents the shared issue because it states the core bug directly, while #8236 is a later, more specific manifestation tied to `--num_train_epochs` in examples.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5963", + "right": "issue:6028", + "accept": false, + "reason": "Both are Kandinsky 3.0, but one is about embeds-vs-prompts behavior and the other is CUDA OOM; different bugs." + }, + { + "left": "issue:4593", + "right": "issue:4697", + "accept": false, + "reason": "Both concern LoRA loading, but one is a rank mismatch with an A1111 LoRA and the other is a specific LoRA failing after an update; not the same concrete failure." + }, + { + "left": "issue:6383", + "right": "issue:7185", + "accept": false, + "reason": "Multi-stage learning rates vs PyTorch 2.2 compatibility are unrelated topics." + }, + { + "left": "issue:6176", + "right": "issue:8839", + "accept": false, + "reason": "Both mention LoRA weights, but one is post-training DreamBooth LoRA loading and the other is an SD3 LoRA weight error; different code paths." + }, + { + "left": "issue:7513", + "right": "issue:9548", + "accept": false, + "reason": "Different models and symptoms: SDXL DreamBooth resource issues vs FLUX DreamBooth LoRA training issues." + }, + { + "left": "issue:3094", + "right": "issue:4872", + "accept": false, + "reason": "Both are OOM reports, but they affect different training scripts/models and likely different causes." + }, + { + "left": "issue:1214", + "right": "issue:7589", + "accept": false, + "reason": "Half-precision CLIPTextModel failure is unrelated to GLIGEN not working." + }, + { + "left": "issue:9799", + "right": "issue:9857", + "accept": false, + "reason": "Both are tensor-size mismatch errors, but the model, script, and failure context differ; too generic to treat as the same bug." + }, + { + "left": "issue:10671", + "right": "issue:9450", + "accept": false, + "reason": "One is a deterministic dtype/device lookup issue in DiffusionPipeline; the other is a multi-GPU device placement problem in FluxPipeline." + }, + { + "left": "issue:7057", + "right": "issue:861", + "accept": false, + "reason": "A checkpoint loading failure is not the same as a ckpt-to-diffusers conversion problem." + }, + { + "left": "issue:2132", + "right": "issue:6741", + "accept": false, + "reason": "Different script-specific errors: missing `trackers` on Accelerator vs missing `no_flip` on Namespace." + }, + { + "left": "issue:3706", + "right": "issue:7405", + "accept": false, + "reason": "They are both model announcements, not the same bug or change." + }, + { + "left": "issue:4389", + "right": "issue:9343", + "accept": false, + "reason": "ControlNet loading failure vs FLUX loading with `low_cpu_mem_usage=False` and `ignore_mismatched_sizes=True` are different problems." + }, + { + "left": "issue:4697", + "right": "issue:6176", + "accept": false, + "reason": "Both involve LoRA-related loading, but they describe different workflows and failure modes." + }, + { + "left": "issue:6137", + "right": "issue:8236", + "accept": true, + "reason": "These describe the same underlying LR scheduler step-count bug under multi-GPU training; #8236 is a later, more specific report of the same issue." + }, + { + "left": "issue:10722", + "right": "issue:9857", + "accept": false, + "reason": "Both are tensor mismatch errors, but they occur in different FLUX training scenarios with different shapes and contexts." + }, + { + "left": "issue:6415", + "right": "issue:6914", + "accept": false, + "reason": "One is about unsupported IP-Adapter-FaceID/FaceID plus, the other is an AttributeError from `enable_model_cpu_offload()`." + }, + { + "left": "issue:8613", + "right": "issue:8909", + "accept": false, + "reason": "OOM while using `caption_column` is unrelated to problems saving `text_encoder_ti` in a DreamBooth LoRA script." + }, + { + "left": "issue:2941", + "right": "issue:6548", + "accept": false, + "reason": "Scheduler quality issue vs img2img RGBA latent misclassification are unrelated." + }, + { + "left": "issue:10591", + "right": "issue:11314", + "accept": false, + "reason": "Both are training-script complaints, but they target different models and different bugs." + }, + { + "left": "issue:10169", + "right": "issue:1976", + "accept": false, + "reason": "Missing `config.json` is too generic here; #1976 is specifically about an incorrect `tokenizer/config.json` lookup, not the same reported failure." + }, + { + "left": "issue:3325", + "right": "issue:3884", + "accept": false, + "reason": "CUDA invalid argument in DreamBooth is not the same as an error using `train_text_to_image_lora.py`." + }, + { + "left": "issue:11417", + "right": "issue:4492", + "accept": false, + "reason": "DistributedDataParallel missing `dtype` and a `false` NameError are unrelated." + }, + { + "left": "issue:2459", + "right": "issue:7057", + "accept": false, + "reason": "xFormers attention not working in a LoRA training script is unrelated to a checkpoint loading issue." + }, + { + "left": "issue:8307", + "right": "issue:9141", + "accept": false, + "reason": "Missing `StableCascadeUNet` and missing `FluxPipeline.from_single_file()` are different API gaps." + }, + { + "left": "issue:8534", + "right": "issue:8708", + "accept": false, + "reason": "Both are SD3 training-script issues, but one is logit-normal weighting and the other is a missing `vae.config.shift_factor`; different concrete bugs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft edges. The #6137/#8236 match is well supported by the titles, and the other pairs are reasonably rejected as different bugs rather than over-merged on superficial similarity." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 37, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10128", + "issue:10381", + "issue:10798", + "issue:10928", + "issue:11117", + "issue:11396", + "issue:1166", + "issue:12657", + "issue:13249", + "issue:1398", + "issue:1475", + "issue:1552", + "issue:1614", + "issue:1976", + "issue:2089", + "issue:2299", + "issue:2857", + "issue:3032", + "issue:3325", + "issue:3497", + "issue:3706", + "issue:3764", + "issue:4000", + "issue:4229", + "issue:4453", + "issue:4566", + "issue:4648", + "issue:4701", + "issue:4708", + "issue:4736", + "issue:4969", + "issue:5578", + "issue:5919", + "issue:5934", + "issue:6444", + "issue:6794", + "issue:7133", + "issue:7681", + "issue:7728", + "issue:7757", + "issue:7854", + "issue:8414", + "issue:8500", + "issue:8557", + "issue:8614", + "issue:8833", + "issue:8939", + "issue:9421" + ], + "soft_pairs": [ + "issue:6444|issue:7728", + "issue:8500|issue:8557", + "issue:1398|issue:1552", + "issue:3706|issue:8414", + "issue:10381|issue:10798", + "issue:1166|issue:1475", + "issue:3325|issue:4701", + "issue:10128|issue:2857", + "issue:11396|issue:4453", + "issue:4648|issue:5578", + "issue:4708|issue:4969", + "issue:3764|issue:5934", + "issue:10928|issue:8939", + "issue:6794|issue:7681", + "issue:8614|issue:8833", + "issue:11117|issue:7854", + "issue:2299|issue:4000", + "issue:1976|issue:9421", + "issue:2089|issue:4736", + "issue:1398|issue:1614", + "issue:4566|issue:7133", + "issue:12657|issue:13249", + "issue:4229|issue:7757", + "issue:3032|issue:3497", + "issue:3497|issue:5919" + ], + "prepared_review_unit_hash": "00021578414f3cc04c550e40b5eef149bd3d779357e1a0397e9cc8b3e2055362", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34988, + "estimated_input_tokens": 8747, + "estimated_eval_tokens": 17750 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous set of support/issues around model loading, training, precision, and quantization. Only the SD3 token-limit pair looks like a true duplicate; the rest are related only at a broad subsystem level and should stay separate.", + "confidence": 0.88, + "canonical_issue_reason": "issue:8557 is the clearest, most specific representative of the only true duplicate pair (SD3 token limit in training).", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8557 is the best global issue candidate because it is the most precise statement of the shared SD3 training token-limit bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6444", + "right": "issue:7728", + "accept": false, + "reason": "Both are SDXL LoRA/accelerate training failures, but the reported errors differ (peft_config/checkpointing vs accelerate error) and do not look like one concrete bug." + }, + { + "left": "issue:8500", + "right": "issue:8557", + "accept": true, + "reason": "Same underlying SD3 training token-limit problem; titles and scope match closely enough to treat as duplicates." + }, + { + "left": "issue:1398", + "right": "issue:1552", + "accept": false, + "reason": "Both mention Stable Diffusion 2 on Apple/MPS-related settings, but one is a platform compatibility issue and the other is attention slicing behavior; not the same bug." + }, + { + "left": "issue:3706", + "right": "issue:8414", + "accept": false, + "reason": "Both are model-related announcements/requests, but Wuerstchen and ConsistencyTTA are different models and changes." + }, + { + "left": "issue:10381", + "right": "issue:10798", + "accept": false, + "reason": "Both involve Flux quantization, but one is inference with quantization+LoRA/Quanto and the other is a bitsandbytes device-combination bug; too different to merge." + }, + { + "left": "issue:1166", + "right": "issue:1475", + "accept": false, + "reason": "Different training scenarios and failures; one is TPU textual inversion saving hang, the other is mixed class-image DreamBooth/textual inversion training." + }, + { + "left": "issue:3325", + "right": "issue:4701", + "accept": false, + "reason": "Different runtime errors in different paths (CUDA invalid argument during DreamBooth vs AutoencoderKL CUDA error when differentiating)." + }, + { + "left": "issue:10128", + "right": "issue:2857", + "accept": false, + "reason": "Both are feature-support questions, but fastercache and UniDiffuser are unrelated requests." + }, + { + "left": "issue:11396", + "right": "issue:4453", + "accept": false, + "reason": "Both ask about LoRA conversion, but they target different ecosystems and formats (ComfyUI vs AUTO1111) and are not the same change." + }, + { + "left": "issue:4648", + "right": "issue:5578", + "accept": false, + "reason": "Both are missing-file loading errors, but they reference different expected files/configs and different model-loading failures." + }, + { + "left": "issue:4708", + "right": "issue:4969", + "accept": false, + "reason": "Import errors in the same library area, but the missing symbols/modules differ and do not point to one specific defect." + }, + { + "left": "issue:3764", + "right": "issue:5934", + "accept": false, + "reason": "Both involve torch.compile, but one is an interpreter-shutdown backend failure and the other is a general compile error; not the same bug." + }, + { + "left": "issue:10928", + "right": "issue:8939", + "accept": false, + "reason": "Both are model-loading issues, but one is a missing fp16 weight file and the other is a tokenizer loading failure for SD3; different root causes." + }, + { + "left": "issue:6794", + "right": "issue:7681", + "accept": false, + "reason": "Both are import-time failures, but they come from unrelated modules and error causes." + }, + { + "left": "issue:8614", + "right": "issue:8833", + "accept": false, + "reason": "Both complain about config.json missing, but they involve different models and loading contexts; too broad to unify." + }, + { + "left": "issue:11117", + "right": "issue:7854", + "accept": false, + "reason": "Both are dtype mismatch runtime errors, but the exact mismatch and affected pipeline differ." + }, + { + "left": "issue:2299", + "right": "issue:4000", + "accept": false, + "reason": "One asks about fine-tuned checkpoints in Diffusers; the other asks about converting SD2 ckpt to Diffusers format. Related topic, not same bug/change." + }, + { + "left": "issue:1976", + "right": "issue:9421", + "accept": false, + "reason": "Both are tokenizer/path loading errors, but they concern different model identifiers and likely different missing artifacts." + }, + { + "left": "issue:2089", + "right": "issue:4736", + "accept": false, + "reason": "Both are memory-related training issues, but they affect different scripts/models and one includes an invalid-value cast error; not the same defect." + }, + { + "left": "issue:1398", + "right": "issue:1614", + "accept": false, + "reason": "Different Stable Diffusion 2/MPS vs autocast-black-image failures; no clear shared underlying bug." + }, + { + "left": "issue:4566", + "right": "issue:7133", + "accept": false, + "reason": "Both involve resuming SDXL LoRA training from checkpoints, but the evidence is insufficient to say they are the same concrete failure." + }, + { + "left": "issue:12657", + "right": "issue:13249", + "accept": false, + "reason": "Different model-specific regressions: quantized Qwen Image Edit vs Z-Image LoRA support." + }, + { + "left": "issue:4229", + "right": "issue:7757", + "accept": false, + "reason": "Both are multi-GPU training problems, but one is an accelerated DreamBooth error and the other is ControlNet OOM; not one bug." + }, + { + "left": "issue:3032", + "right": "issue:3497", + "accept": false, + "reason": "Both are missing pipeline methods, but they are different methods/classes and separate API issues." + }, + { + "left": "issue:3497", + "right": "issue:5919", + "accept": false, + "reason": "Different API breakages: missing from_ckpt on a pipeline vs missing set_lora_layer on Linear." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted duplicate pair, issue:8500 / issue:8557, is well supported by the SD3 token-limit titles, and the rest of the soft-edge verdicts appropriately avoid overclaiming duplication from broad topical similarity alone." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 38, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10453", + "issue:10650", + "issue:10760", + "issue:11417", + "issue:11839", + "issue:12009", + "issue:1214", + "issue:1925", + "issue:2091", + "issue:3061", + "issue:3325", + "issue:3382", + "issue:3454", + "issue:3774", + "issue:4213", + "issue:4325", + "issue:4375", + "issue:5314", + "issue:5455", + "issue:5465", + "issue:5474", + "issue:5502", + "issue:5811", + "issue:5884", + "issue:5897", + "issue:6096", + "issue:6131", + "issue:6159", + "issue:6226", + "issue:6351", + "issue:6446", + "issue:6492", + "issue:6548", + "issue:6561", + "issue:6821", + "issue:7418", + "issue:7619", + "issue:7681", + "issue:7735", + "issue:7848", + "issue:8871", + "issue:9208", + "issue:9497", + "issue:9548", + "issue:964", + "issue:9643", + "issue:9727", + "issue:9799" + ], + "soft_pairs": [ + "issue:4325|issue:6492", + "issue:5811|issue:5884", + "issue:3325|issue:7619", + "issue:1925|issue:964", + "issue:6226|issue:6446", + "issue:11417|issue:6351", + "issue:5314|issue:5474", + "issue:3454|issue:5502", + "issue:5465|issue:6159", + "issue:1214|issue:4213", + "issue:6131|issue:6561", + "issue:2091|issue:3382", + "issue:10453|issue:9643", + "issue:4375|issue:6096", + "issue:10650|issue:11839", + "issue:2091|issue:3774", + "issue:9497|issue:9727", + "issue:3061|issue:6548", + "issue:6821|issue:7735", + "issue:9497|issue:9799", + "issue:5455|issue:5897", + "issue:10760|issue:7681", + "issue:7418|issue:7848", + "issue:8871|issue:9548", + "issue:12009|issue:9208" + ], + "prepared_review_unit_hash": "bc55ddf53b56ff5edb778c7a748964f2ec886125a6cee8c286b441907ea0cb0f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 35013, + "estimated_input_tokens": 8754, + "estimated_eval_tokens": 17764 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a mixed set of superficially similar issues. The only likely duplicate pair is the two black-image generation reports; the rest are distinct bugs, model-loading failures, or training/config errors that just share broad subsystem keywords.", + "confidence": 0.61, + "canonical_issue_reason": "issue:6492 is the clearest canonical target for the black-image symptom: it is broader and more general than issue:4325, which includes a more specific SDXL warning but the same visible failure.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6492 is the best representative issue overall because it matches the only strong duplicate pair and is phrased as the general user-facing symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4325", + "right": "issue:6492", + "accept": true, + "reason": "Both report black images during generation; 4325 adds a warning, but the core symptom and likely fix area are the same." + }, + { + "left": "issue:5811", + "right": "issue:5884", + "accept": false, + "reason": "One is about callback_on_step_end support, the other about IP-Adapter support; different features and different code paths." + }, + { + "left": "issue:3325", + "right": "issue:7619", + "accept": false, + "reason": "Both are Dreambooth-related, but one is a CUDA invalid-argument crash and the other is a channel-shape error; not the same bug." + }, + { + "left": "issue:1925", + "right": "issue:964", + "accept": false, + "reason": "Both mention inpainting, but 1925 is specifically half-precision failure while 964 is a general inpainting example failure." + }, + { + "left": "issue:6226", + "right": "issue:6446", + "accept": false, + "reason": "These describe unrelated loading problems in different contexts; shared diffusion-model loading is too broad to merge." + }, + { + "left": "issue:11417", + "right": "issue:6351", + "accept": false, + "reason": "Both involve DDP wrapper attribute access, but one is missing dtype and the other is missing disable_adapters; different concrete failures." + }, + { + "left": "issue:5314", + "right": "issue:5474", + "accept": false, + "reason": "A new pipeline request and a different reference-only pipeline proposal are not the same bug or change." + }, + { + "left": "issue:3454", + "right": "issue:5502", + "accept": false, + "reason": "Different training scripts and different failures; one is a latest-version runtime issue, the other is fp16 support in custom diffusion training." + }, + { + "left": "issue:5465", + "right": "issue:6159", + "accept": false, + "reason": "Both are parameter-support gaps, but for different pipelines and different arguments; not one underlying defect." + }, + { + "left": "issue:1214", + "right": "issue:4213", + "accept": false, + "reason": "Half-precision CLIPTextModel failure and missing-accelerate from_single_file loading are unrelated." + }, + { + "left": "issue:6131", + "right": "issue:6561", + "accept": false, + "reason": "One is an IP-Adapter feature not working, the other is a missing config file for a model repo; different root causes." + }, + { + "left": "issue:2091", + "right": "issue:3382", + "accept": false, + "reason": "Checkpoint resume/multi-GPU behavior and multi-GPU OOM are different training issues." + }, + { + "left": "issue:10453", + "right": "issue:9643", + "accept": false, + "reason": "Both are model capability limitations, but batch-size >1 for Hunyuan Video is unrelated to multiple ControlNets in Flux." + }, + { + "left": "issue:4375", + "right": "issue:6096", + "accept": false, + "reason": "Both involve torch.compile crashes, but the model paths and exceptions differ; too broad to treat as one bug." + }, + { + "left": "issue:10650", + "right": "issue:11839", + "accept": false, + "reason": "Both are invalid-size errors, but they affect different models/pipelines and likely different shape assumptions." + }, + { + "left": "issue:2091", + "right": "issue:3774", + "accept": false, + "reason": "Checkpoint resumption and ZeRO3 memory savings are separate training concerns, not the same bug." + }, + { + "left": "issue:9497", + "right": "issue:9727", + "accept": false, + "reason": "Both are Flux dreambooth issues, but one is a matmul shape error and the other is a multigpu save problem." + }, + { + "left": "issue:3061", + "right": "issue:6548", + "accept": false, + "reason": "A reproducibility complaint is not the same as an RGBA latents-handling bug in img2img." + }, + { + "left": "issue:6821", + "right": "issue:7735", + "accept": false, + "reason": "Both mention caption_column, but one is about an invalid allowed value and the other about a missing column; different validation failures." + }, + { + "left": "issue:9497", + "right": "issue:9799", + "accept": false, + "reason": "Different runtime shape mismatches in different Flux-related contexts; no clear shared code-path." + }, + { + "left": "issue:5455", + "right": "issue:5897", + "accept": false, + "reason": "A notebook subprocess failure and a device-mismatch LoRA training error are unrelated." + }, + { + "left": "issue:10760", + "right": "issue:7681", + "accept": false, + "reason": "Importing a removed class and an OpenSSL/X509 import failure are unrelated import-time errors." + }, + { + "left": "issue:7418", + "right": "issue:7848", + "accept": false, + "reason": "These are different community pipelines with different decoding/implementation issues." + }, + { + "left": "issue:8871", + "right": "issue:9548", + "accept": false, + "reason": "An fp16 gradient unscale failure and a Flux Dreambooth multigpu save issue are distinct training bugs." + }, + { + "left": "issue:12009", + "right": "issue:9208", + "accept": false, + "reason": "Both are from_single_file loading failures, but they concern different models and formats; not the same concrete bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analysis is grounded in the packet and stays conservative overall. The only accepted soft pair, issue:4325 \u2194 issue:6492, is supported by the shared black-image symptom, and the rest of the rejections avoid overclaiming duplicate status from broad subsystem similarity. The summary matches the evidence without overstating it." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 39, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1082", + "issue:11247", + "issue:11410", + "issue:12587", + "issue:1260", + "issue:12699", + "issue:12720", + "issue:13073", + "issue:1672", + "issue:1976", + "issue:222", + "issue:2299", + "issue:2331", + "issue:2437", + "issue:2578", + "issue:281", + "issue:3061", + "issue:3152", + "issue:4213", + "issue:4483", + "issue:4566", + "issue:4911", + "issue:4969", + "issue:5128", + "issue:579", + "issue:5897", + "issue:6146", + "issue:6154", + "issue:6203", + "issue:6218", + "issue:6353", + "issue:6415", + "issue:6561", + "issue:684", + "issue:6964", + "issue:6967", + "issue:7146", + "issue:7147", + "issue:725", + "issue:7757", + "issue:8686", + "issue:8939", + "issue:8956", + "issue:9051", + "issue:9527", + "issue:9667", + "issue:9841" + ], + "soft_pairs": [ + "issue:1672|issue:2299", + "issue:3152|issue:4969", + "issue:1260|issue:7147", + "issue:12699|issue:12720", + "issue:4911|issue:5128", + "issue:2578|issue:4213", + "issue:6353|issue:7146", + "issue:6154|issue:6967", + "issue:6415|issue:6561", + "issue:11247|issue:9527", + "issue:2331|issue:2437", + "issue:222|issue:684", + "issue:1082|issue:5897", + "issue:12587|issue:6203", + "issue:4566|issue:9841", + "issue:1976|issue:579", + "issue:6146|issue:7757", + "issue:6218|issue:6964", + "issue:11410|issue:9667", + "issue:281|issue:725", + "issue:8939|issue:8956", + "issue:13073|issue:9051", + "issue:3061|issue:4483", + "issue:6964|issue:8686" + ], + "prepared_review_unit_hash": "fd99d15f6d3508c1c6e6c5af9e00f5202ed36bd812da6a18df2b0419fb824159", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33950, + "estimated_input_tokens": 8488, + "estimated_eval_tokens": 17232 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly thematically related diffusers issues, but the proposed soft pairs do not describe the same concrete bug/change. They span different models, pipelines, training scripts, and failure modes, so none should be merged as duplicates from the available evidence.", + "confidence": 0.81, + "canonical_issue_reason": "Issue #2331 is the broadest, most central ControlNet feature request in the set and has the strongest discussion/inbound-reference signal, making it the best representative issue if one must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #2331 is the most suitable global issue representative because it anchors the ControlNet pipeline area that several other issues touch, while still being a distinct, well-scoped canonical discussion.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1672", + "right": "issue:2299", + "accept": false, + "reason": "Both concern converted Stable Diffusion checkpoints, but one is about output image size after ckpt-to-diffusers conversion and the other is about loading fast-stable-diffusion fine-tuned checkpoints; different failure modes." + }, + { + "left": "issue:3152", + "right": "issue:4969", + "accept": false, + "reason": "Both are import errors, but they involve unrelated TensorFlow and diffusers symbols/modules, so they are not the same bug." + }, + { + "left": "issue:1260", + "right": "issue:7147", + "accept": false, + "reason": "Both are import-name problems, but they target different missing pipeline classes and different releases/features." + }, + { + "left": "issue:12699", + "right": "issue:12720", + "accept": false, + "reason": "One is about video quality degrading after repeated prompt calls, the other about quantizing Wan 2.2 VACE after loading LoRA; different behavior and code path." + }, + { + "left": "issue:4911", + "right": "issue:5128", + "accept": false, + "reason": "Both involve from_single_file loading, but one is a custom text encoder loading problem and the other is a local safetensors model loading issue." + }, + { + "left": "issue:2578", + "right": "issue:4213", + "accept": false, + "reason": "Editable install failure vs. SDXL from_single_file requiring accelerate; related packaging/loading area, but not the same underlying defect." + }, + { + "left": "issue:6353", + "right": "issue:7146", + "accept": false, + "reason": "Both mention SDXL training and errors, but one is a controlnet training example failure while the other is a CUDA OOM during text-to-image fine-tuning." + }, + { + "left": "issue:6154", + "right": "issue:6967", + "accept": false, + "reason": "Both are SDXL training issues, but one is on M2 Mac LoRA training and the other is a prior-preservation shape mismatch in an advanced DreamBooth LoRA script." + }, + { + "left": "issue:6415", + "right": "issue:6561", + "accept": false, + "reason": "Both are about IP-Adapter-related support/loading, but one is FaceID feature support and the other is a missing image_encoder config file." + }, + { + "left": "issue:11247", + "right": "issue:9527", + "accept": false, + "reason": "Both mention multi-GPU/controlnet/Flux-style distribution, but one is about distributing FluxTransformer2DModel with controlnet and the other is a dtype mismatch between controlnet and main pipeline." + }, + { + "left": "issue:2331", + "right": "issue:2437", + "accept": false, + "reason": "Different feature requests: ControlNet pipeline versus T2I-Adapter pipeline. Same ecosystem, not the same change." + }, + { + "left": "issue:222", + "right": "issue:684", + "accept": false, + "reason": "Training runtime error on generic setup vs. AMD-specific memory optimization failure; different environments and causes." + }, + { + "left": "issue:1082", + "right": "issue:5897", + "accept": false, + "reason": "Both are training runtime failures, but one is a CUDA cublas execution error during DreamBooth and the other is a device-mismatch error in LoRA training." + }, + { + "left": "issue:12587", + "right": "issue:6203", + "accept": false, + "reason": "One is a question about context_pre_only usage, the other is about SDXL ControlNet image-size conditioning; not the same bug." + }, + { + "left": "issue:4566", + "right": "issue:9841", + "accept": false, + "reason": "Both are LoRA training issues, but one is resume-from-checkpoint and the other is a TypeError when use_dora is False; different code paths." + }, + { + "left": "issue:1976", + "right": "issue:579", + "accept": false, + "reason": "Both are missing-config/file lookup errors, but they concern different components and assets (tokenizer config vs textual inversion config)." + }, + { + "left": "issue:6146", + "right": "issue:7757", + "accept": false, + "reason": "Both relate to multi-GPU training, but they are different scripts and problems: DreamBooth LoRA multi-GPU vs ControlNet SDXL OOM." + }, + { + "left": "issue:6218", + "right": "issue:6964", + "accept": false, + "reason": "Both involve ControlNet pipelines, but one is batched seeds behavior and the other is 4-channel UNet support; not the same defect." + }, + { + "left": "issue:11410", + "right": "issue:9667", + "accept": false, + "reason": "Both reference attention/transformer code, but one is an unpacking error in attention_processor and the other is loading a flux fp8 model with a local transformer file." + }, + { + "left": "issue:281", + "right": "issue:725", + "accept": false, + "reason": "Both concern memory/loading optimizations, but one asks to natively use Accelerate and the other is about adding device map and accelerate to DiffusionPipeline; overlapping area, not duplicate." + }, + { + "left": "issue:8939", + "right": "issue:8956", + "accept": false, + "reason": "Both are model-loading errors for diffusion models, but they affect different model families and tokenizer/model asset layouts." + }, + { + "left": "issue:13073", + "right": "issue:9051", + "accept": false, + "reason": "Both are pipeline capability limitations, but one is ZImageControlNet guidance_scale behavior and the other is FluxPipeline batch inference support." + }, + { + "left": "issue:3061", + "right": "issue:4483", + "accept": false, + "reason": "Both are reproducibility-related, but one is general Stable Diffusion pipeline reproducibility and the other is SDXL generator determinism; similar class of issue, not the same bug." + }, + { + "left": "issue:6964", + "right": "issue:8686", + "accept": false, + "reason": "Both are ControlNet pipeline issues, but one is 4-channel UNet compatibility and the other is SDXLCFGCutoffCallback support." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 40, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10226", + "issue:10350", + "issue:10569", + "issue:10920", + "issue:11023", + "issue:1305", + "issue:13079", + "issue:1486", + "issue:2185", + "issue:2210", + "issue:2774", + "issue:2875", + "issue:2904", + "issue:2941", + "issue:2947", + "issue:3019", + "issue:3451", + "issue:3565", + "issue:4137", + "issue:4213", + "issue:4483", + "issue:5510", + "issue:5846", + "issue:6082", + "issue:6224", + "issue:6280", + "issue:6481", + "issue:7142", + "issue:7146", + "issue:7178", + "issue:7185", + "issue:7221", + "issue:730", + "issue:7330", + "issue:761", + "issue:7629", + "issue:7782", + "issue:8504", + "issue:852", + "issue:9026", + "issue:9141", + "issue:9270", + "issue:9497", + "issue:9514", + "issue:9810", + "issue:9911" + ], + "soft_pairs": [ + "issue:2904|issue:2947", + "issue:10920|issue:1486", + "issue:5510|issue:6082", + "issue:2941|issue:4483", + "issue:6224|issue:7146", + "issue:10350|issue:10569", + "issue:6481|issue:761", + "issue:7185|issue:9810", + "issue:4213|issue:7178", + "issue:9270|issue:9514", + "issue:1305|issue:3019", + "issue:13079|issue:7629", + "issue:5846|issue:7330", + "issue:2210|issue:8504", + "issue:2774|issue:7782", + "issue:11023|issue:7221", + "issue:4137|issue:7142", + "issue:852|issue:9026", + "issue:10226|issue:9497", + "issue:6280|issue:9141", + "issue:10026|issue:9911", + "issue:6481|issue:730", + "issue:3451|issue:3565", + "issue:2185|issue:2875" + ], + "prepared_review_unit_hash": "304da58e4e207a97290f3551cbc301a3d6f995dab02f2163b60d681c98e6b1e0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33599, + "estimated_input_tokens": 8400, + "estimated_eval_tokens": 17056 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issues with superficial title similarity only; none of the soft pairs look like true duplicates or the same fix path.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue stands out: the cluster is heterogeneous (training, schedulers, conversion, memory, LoRA, and pipeline bugs) and the soft pairs are only broad topical overlaps.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9497 is the most concrete and well-scoped Flux training failure in the set, but it still should not be treated as the umbrella for the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2904", + "right": "issue:2947", + "accept": false, + "reason": "Different failures in different components: AudioLDM pipeline scheduler NoneType vs UNet attention-proc attribute missing." + }, + { + "left": "issue:10920", + "right": "issue:1486", + "accept": false, + "reason": "Both involve sample-mode scheduler math, but one is DDIMInverseScheduler first-iteration infs and the other is DDIMScheduler behavior; not the same bug." + }, + { + "left": "issue:5510", + "right": "issue:6082", + "accept": false, + "reason": "Both are dtype mismatch runtime errors, but in different pipelines and with no evidence of the same code path or fix." + }, + { + "left": "issue:2941", + "right": "issue:4483", + "accept": false, + "reason": "One is EulerAncestralDiscreteScheduler output quality, the other SDXL generator nondeterminism; different symptoms and causes." + }, + { + "left": "issue:6224", + "right": "issue:7146", + "accept": false, + "reason": "TorchDynamo fine-tuning issue vs SDXL CUDA OOM during training; same broad area, not the same defect." + }, + { + "left": "issue:10350", + "right": "issue:10569", + "accept": false, + "reason": "Both mention memory use, but for different models/components: SD2.1 VAE decoder vs HunyuanVideo on CPU." + }, + { + "left": "issue:6481", + "right": "issue:761", + "accept": false, + "reason": "DreamBooth batch-size failure and 8-bit Adam failure are distinct training problems with different triggers." + }, + { + "left": "issue:7185", + "right": "issue:9810", + "accept": false, + "reason": "PyTorch version support question vs LoRA module_to_save API gap; unrelated concerns." + }, + { + "left": "issue:4213", + "right": "issue:7178", + "accept": false, + "reason": "Missing from_single_file support for an SDXL pipeline vs export_to_video malfunction; unrelated code paths." + }, + { + "left": "issue:9270", + "right": "issue:9514", + "accept": false, + "reason": "Both concern Flux/LoRA, but one is SimpleTuner training support and the other is loading weights after fp8 quantization." + }, + { + "left": "issue:1305", + "right": "issue:3019", + "accept": false, + "reason": "Completely different feature requests/papers: Direct Inversion vs segment-anything text-guided editing." + }, + { + "left": "issue:13079", + "right": "issue:7629", + "accept": false, + "reason": "Both are OOM reports, but on different models and scenarios: FLUX.2-klein loop vs SVD on old PyTorch." + }, + { + "left": "issue:5846", + "right": "issue:7330", + "accept": false, + "reason": "Both are training-script errors, but one is resume/checkpoint handling and the other is FP16 gradient unscale during LoRA training." + }, + { + "left": "issue:2210", + "right": "issue:8504", + "accept": false, + "reason": "Both are LoRA/text-encoder related, but one requests training the text encoder and the other asks for selecting which encoders to train in SD3-Medium." + }, + { + "left": "issue:2774", + "right": "issue:7782", + "accept": false, + "reason": "Both are conversion/unpickling problems, but they involve different failure modes and file handling paths." + }, + { + "left": "issue:11023", + "right": "issue:7221", + "accept": false, + "reason": "Blurred output in a custom pipeline and noisy output from a model checkpoint are too vague to be the same underlying bug." + }, + { + "left": "issue:4137", + "right": "issue:7142", + "accept": false, + "reason": "Inference mismatch with WebUI in two different contexts; no concrete shared code path or identical defect." + }, + { + "left": "issue:852", + "right": "issue:9026", + "accept": false, + "reason": "Both are API incompatibilities, but against different functions and kwargs; not the same issue." + }, + { + "left": "issue:10226", + "right": "issue:9497", + "accept": false, + "reason": "Both are Flux Dreambooth training errors, but one is tensor size mismatch and the other is mat2 dimensionality; distinct failure points." + }, + { + "left": "issue:6280", + "right": "issue:9141", + "accept": false, + "reason": "Same missing-from_single_file theme, but for different pipeline classes; separate support gaps rather than one duplicate bug." + }, + { + "left": "issue:10026", + "right": "issue:9911", + "accept": false, + "reason": "Both mention Flux controlnet training, but one is memory scaling under DeepSpeed and the other is a multi-controlnet shape mismatch." + }, + { + "left": "issue:6481", + "right": "issue:730", + "accept": false, + "reason": "DreamBooth batch-size >1 failure vs local-vs-Colab training behavior; different underlying problems." + }, + { + "left": "issue:3451", + "right": "issue:3565", + "accept": false, + "reason": "fp16 higher memory than fp32 in a training script vs generic text-to-image OOM; related theme, but not the same bug." + }, + { + "left": "issue:2185", + "right": "issue:2875", + "accept": false, + "reason": "Missing config files for a naive text-to-image example vs training loss becoming NaN; unrelated issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 41, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10226", + "issue:10392", + "issue:10848", + "issue:11117", + "issue:11853", + "issue:11922", + "issue:12047", + "issue:12459", + "issue:12535", + "issue:1540", + "issue:1541", + "issue:1672", + "issue:1988", + "issue:3284", + "issue:3454", + "issue:4086", + "issue:4094", + "issue:4125", + "issue:4398", + "issue:4405", + "issue:4875", + "issue:5016", + "issue:5178", + "issue:5510", + "issue:5565", + "issue:5791", + "issue:5798", + "issue:5956", + "issue:5966", + "issue:6117", + "issue:6154", + "issue:6232", + "issue:6297", + "issue:6382", + "issue:6967", + "issue:7589", + "issue:7658", + "issue:8589", + "issue:9278", + "issue:9420", + "issue:9476", + "issue:9497", + "issue:9546", + "issue:9667", + "issue:9841", + "issue:9857", + "issue:9914", + "issue:993" + ], + "soft_pairs": [ + "issue:4125|issue:5956", + "issue:11853|issue:6382", + "issue:11117|issue:5510", + "issue:1672|issue:993", + "issue:1988|issue:9476", + "issue:10226|issue:6967", + "issue:5791|issue:8589", + "issue:4398|issue:9841", + "issue:3284|issue:3454", + "issue:9667|issue:9914", + "issue:4086|issue:7589", + "issue:9278|issue:9497", + "issue:9546|issue:9857", + "issue:4875|issue:5178", + "issue:5565|issue:6154", + "issue:11922|issue:12459", + "issue:4094|issue:4405", + "issue:10848|issue:5798", + "issue:12047|issue:12535", + "issue:10392|issue:9420", + "issue:5016|issue:6297", + "issue:1540|issue:1541", + "issue:6117|issue:6232", + "issue:5966|issue:7658" + ], + "prepared_review_unit_hash": "64c563357038b673ea22b8478f2eee4fd42e769760bb8d2d7264d65dce647605", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34274, + "estimated_input_tokens": 8569, + "estimated_eval_tokens": 17394 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly heterogeneous and dominated by title similarity rather than true duplicates. Only the Dreambooth MODEL_TYPE pair looks like a real duplicate; the rest should stay separate.", + "confidence": 0.71, + "canonical_issue_reason": "issue:1541 is the clearest concrete bug report and best matches the only obvious duplicate pair about Dreambooth MODEL_TYPE / CKPT loading.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:1541 is the most specific and actionable issue in the cluster; it names the actual failure mode more clearly than 1540.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4125", + "right": "issue:5956", + "accept": false, + "reason": "Both are training-quality complaints, but they concern different models and symptoms, not the same bug." + }, + { + "left": "issue:11853", + "right": "issue:6382", + "accept": false, + "reason": "Both mention IP-Adapter, but one is a load-time key error and the other is a controlnet/IP-adapter conflict; different failure paths." + }, + { + "left": "issue:11117", + "right": "issue:5510", + "accept": false, + "reason": "Both are dtype mismatch errors, but in different pipelines and code paths, so they are not clearly the same bug." + }, + { + "left": "issue:1672", + "right": "issue:993", + "accept": false, + "reason": "Image-size conversion failure vs fp16 dtype mismatch; unrelated issues." + }, + { + "left": "issue:1988", + "right": "issue:9476", + "accept": false, + "reason": "Both are type/bias mismatches, but they occur in different scripts and model families; not the same concrete defect." + }, + { + "left": "issue:10226", + "right": "issue:6967", + "accept": false, + "reason": "Both involve shape mismatches in Dreambooth/LoRA, but the model setups and reported failures differ too much to merge." + }, + { + "left": "issue:5791", + "right": "issue:8589", + "accept": false, + "reason": "Both mention prior preservation, but one is about interaction with SNR gamma and the other is a separate SD3 training issue." + }, + { + "left": "issue:4398", + "right": "issue:9841", + "accept": false, + "reason": "Black-image generation and a use_dora TypeError are different bugs." + }, + { + "left": "issue:3284", + "right": "issue:3454", + "accept": false, + "reason": "Same script family, but these read as broad compatibility complaints rather than one shared code-path bug." + }, + { + "left": "issue:9667", + "right": "issue:9914", + "accept": false, + "reason": "Both are Flux loading problems, but one is fp8 model loading and the other is LoRA loading; different defects." + }, + { + "left": "issue:4086", + "right": "issue:7589", + "accept": false, + "reason": "Different subsystems entirely: SDXL ControlNet training vs GLIGEN layout synthesis." + }, + { + "left": "issue:9278", + "right": "issue:9497", + "accept": false, + "reason": "One is multigpu training support and the other is a mat2 dimensionality error; not the same issue." + }, + { + "left": "issue:9546", + "right": "issue:9857", + "accept": false, + "reason": "OOM during validation and embedding size mismatch are different failures." + }, + { + "left": "issue:4875", + "right": "issue:5178", + "accept": false, + "reason": "Both are DPM-SDE-related crashes when inputs change shape, but the scheduler variants and reported triggers differ; too weak to treat as one bug." + }, + { + "left": "issue:5565", + "right": "issue:6154", + "accept": false, + "reason": "Both are SDXL LoRA training problems, but one is a script/run issue and the other is an M2 Mac failure." + }, + { + "left": "issue:11922", + "right": "issue:12459", + "accept": false, + "reason": "Different FLUX tasks: fill-dev running problem vs Kontext batch inference throughput." + }, + { + "left": "issue:4094", + "right": "issue:4405", + "accept": false, + "reason": "Both are feature requests for training scripts, but they target different techniques and are not duplicates." + }, + { + "left": "issue:10848", + "right": "issue:5798", + "accept": false, + "reason": "Both are unexpected keyword argument errors, but they involve different functions and unrelated APIs." + }, + { + "left": "issue:12047", + "right": "issue:12535", + "accept": false, + "reason": "Both concern Wan2.2 LoRAs, but one is fusion on GGUF and the other is loading a Lightning LoRA; not the same bug." + }, + { + "left": "issue:10392", + "right": "issue:9420", + "accept": false, + "reason": "Both are Flux/Hyper-SD-related, but one is an fp8 loading setup and the other is a saved LoRA load failure." + }, + { + "left": "issue:5016", + "right": "issue:6297", + "accept": false, + "reason": "Both are Dreambooth SDXL LoRA training complaints, but one is specifically about text encoder training and the other is a vague inability to train on photos." + }, + { + "left": "issue:1540", + "right": "issue:1541", + "accept": true, + "reason": "Both report the same Dreambooth MODEL_TYPE/CKPT loading failure; they are clearly the same underlying bug." + }, + { + "left": "issue:6117", + "right": "issue:6232", + "accept": false, + "reason": "Both are scheduler add_noise issues, but they affect different schedulers and settings." + }, + { + "left": "issue:5966", + "right": "issue:7658", + "accept": false, + "reason": "Feature/question about ControlNet support vs asking about multiple conditioning; not duplicates." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The canonical choice and summary are grounded in the packet. The Dreambooth MODEL_TYPE pair is the only clearly supported duplicate, and the soft-edge rejections are appropriately conservative given that the evidence is mostly title-level similarity. No PR-mergeability issue applies here." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 42, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10833", + "issue:11023", + "issue:11117", + "issue:11127", + "issue:11133", + "issue:11285", + "issue:11352", + "issue:11432", + "issue:12216", + "issue:12458", + "issue:13043", + "issue:13105", + "issue:13258", + "issue:1552", + "issue:175", + "issue:2549", + "issue:2891", + "issue:3382", + "issue:3451", + "issue:3803", + "issue:4206", + "issue:4520", + "issue:4724", + "issue:4872", + "issue:4925", + "issue:5075", + "issue:5254", + "issue:5455", + "issue:5769", + "issue:5805", + "issue:6159", + "issue:6278", + "issue:6695", + "issue:6832", + "issue:7466", + "issue:7666", + "issue:771", + "issue:7799", + "issue:8405", + "issue:8414", + "issue:8667", + "issue:8939", + "issue:9112", + "issue:9237", + "issue:938", + "issue:9500", + "issue:9667", + "issue:9953" + ], + "soft_pairs": [ + "issue:11352|issue:9953", + "issue:6832|issue:7799", + "issue:3803|issue:6278", + "issue:4206|issue:4925", + "issue:11127|issue:9667", + "issue:12216|issue:12458", + "issue:3382|issue:4925", + "issue:8405|issue:9112", + "issue:8414|issue:938", + "issue:8667|issue:9112", + "issue:4872|issue:4925", + "issue:175|issue:5769", + "issue:13105|issue:13258", + "issue:1552|issue:771", + "issue:9237|issue:9500", + "issue:2891|issue:6159", + "issue:2549|issue:4520", + "issue:3382|issue:3451", + "issue:11117|issue:5805", + "issue:5254|issue:7466", + "issue:11432|issue:4724", + "issue:10833|issue:5075", + "issue:5455|issue:6695", + "issue:11023|issue:7666", + "issue:11133|issue:13043", + "issue:11285|issue:8939" + ], + "prepared_review_unit_hash": "dfd5587a9e57af423c12d206e8e454b65e5c04abf73b772c087e309ad0addd6b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 35161, + "estimated_input_tokens": 8791, + "estimated_eval_tokens": 17838 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are only superficially similar: they share broad vocabulary like shape mismatch, dtype mismatch, quantization, multi-GPU, or specific model names, but they point to different models, pipelines, or code paths. I would not merge any of the soft edges; the closest recurring theme is quantized-model device transfer, best represented by issue 9953.", + "confidence": 0.87, + "canonical_issue_reason": "Issue 9953 is the broadest and most representative concrete bug in the set: moving a pipeline with quantized components to CUDA. It is more general than the nearby CPU-warning report, but still distinct enough that the pair should not be treated as duplicates.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9953 is the best overall representative issue among these items because it is concrete, widely scoped, and closest to the strongest recurring subsystem theme in the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11352", + "right": "issue:9953", + "accept": false, + "reason": "Same broad quantization/device-move area, but one is a missing CPU warning and the other is a CUDA transfer error; different symptom and likely different fix." + }, + { + "left": "issue:6832", + "right": "issue:7799", + "accept": false, + "reason": "Both mention matmul/shape mismatch, but they involve different pipelines and different adapter combinations, so they are not the same bug." + }, + { + "left": "issue:3803", + "right": "issue:6278", + "accept": false, + "reason": "Both are multi-GPU training problems, but one is LoRA model sharing and the other is LCM distillation startup; different failure modes." + }, + { + "left": "issue:4206", + "right": "issue:4925", + "accept": false, + "reason": "Both touch SDXL controlnet training, but one is a broken main-branch regression while the other is distributed OOM; not the same defect." + }, + { + "left": "issue:11127", + "right": "issue:9667", + "accept": false, + "reason": "Both are Flux single-file/loading complaints, but one is a CivitAI model not working and the other is a local transformer file loading error; too different to merge." + }, + { + "left": "issue:12216", + "right": "issue:12458", + "accept": false, + "reason": "Both are Qwen-image-edit reports, but one is output quality and the other is batch inference/feature request; not a duplicate bug." + }, + { + "left": "issue:3382", + "right": "issue:4925", + "accept": false, + "reason": "Both mention GPU memory, but one is a multi-GPU training OOM and the other is SDXL controlnet distributed OOM; different code paths and contexts." + }, + { + "left": "issue:8405", + "right": "issue:9112", + "accept": false, + "reason": "Both have tensor-size issues, but they are for different models and pipelines, so they do not appear to be the same underlying bug." + }, + { + "left": "issue:8414", + "right": "issue:938", + "accept": false, + "reason": "A new text-to-audio model request is unrelated to a human motion diffusion model issue." + }, + { + "left": "issue:8667", + "right": "issue:9112", + "accept": false, + "reason": "Both are dimension mismatch errors, but one is SD3ControlNetModel and the other is Auraflow inference; different model-specific bugs." + }, + { + "left": "issue:4872", + "right": "issue:4925", + "accept": false, + "reason": "Both are OOM reports, but one is SDXL finetuning on T4 and the other is distributed ControlNet training; not the same problem." + }, + { + "left": "issue:175", + "right": "issue:5769", + "accept": false, + "reason": "One is about example training seeding and the other is about mixed precision correctness; unrelated concerns." + }, + { + "left": "issue:13105", + "right": "issue:13258", + "accept": false, + "reason": "Both concern Wan models, but one is noisy output from T2V and the other is missing TI2V functionality; different issues." + }, + { + "left": "issue:1552", + "right": "issue:771", + "accept": false, + "reason": "Different feature bugs: attention slicing with SD2 versus BF16 with dreambooth." + }, + { + "left": "issue:9237", + "right": "issue:9500", + "accept": false, + "reason": "Both involve Flux training, but one is LoRA training and the other is checkpoint saving during dreambooth; not the same bug." + }, + { + "left": "issue:2891", + "right": "issue:6159", + "accept": false, + "reason": "Unsupported embeddings in one pipeline and unsupported denoising_end in another are separate API-support issues." + }, + { + "left": "issue:2549", + "right": "issue:4520", + "accept": false, + "reason": "One is SD2 UNet compatibility, the other is LoRA scale with attention slicing; different functionality." + }, + { + "left": "issue:3382", + "right": "issue:3451", + "accept": false, + "reason": "Both are training memory topics, but one is multi-GPU OOM and the other is fp16 using more memory than fp32; different root causes." + }, + { + "left": "issue:11117", + "right": "issue:5805", + "accept": false, + "reason": "Both are dtype mismatch errors, but they affect different pipelines and backends; too model-specific to treat as duplicates." + }, + { + "left": "issue:5254", + "right": "issue:7466", + "accept": false, + "reason": "A feature request for multi-ControlNet support is not the same as a torch.compile failure in multi-ControlNet inpaint." + }, + { + "left": "issue:11432", + "right": "issue:4724", + "accept": false, + "reason": "torch_dtype='auto' loading behavior and SDXL img2img quality/behavior are unrelated." + }, + { + "left": "issue:10833", + "right": "issue:5075", + "accept": false, + "reason": "Both are matrix-shape errors, but they happen in different pipelines and on different model families; not the same concrete bug." + }, + { + "left": "issue:5455", + "right": "issue:6695", + "accept": false, + "reason": "Both mention subprocess errors, but the underlying notebook/workflow failures are unrelated." + }, + { + "left": "issue:11023", + "right": "issue:7666", + "accept": false, + "reason": "Both mention lpw_stable_diffusion_xl, but one is blurry output on Playground v2.5 and the other is from_single_file incompatibility; different problems." + }, + { + "left": "issue:11133", + "right": "issue:13043", + "accept": false, + "reason": "A CogVideoX image-to-video bug is unrelated to a GPU kernel support issue on RTX 5090." + }, + { + "left": "issue:11285", + "right": "issue:8939", + "accept": false, + "reason": "A conversion/value-error report and a tokenizer-loading failure are different failure modes with no clear duplicate evidence." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 43, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10040", + "issue:1082", + "issue:10937", + "issue:1100", + "issue:11133", + "issue:12108", + "issue:12195", + "issue:12235", + "issue:1249", + "issue:12666", + "issue:13351", + "issue:1875", + "issue:2234", + "issue:2296", + "issue:2578", + "issue:2904", + "issue:3382", + "issue:3481", + "issue:3497", + "issue:4052", + "issue:4316", + "issue:4356", + "issue:4450", + "issue:4542", + "issue:4872", + "issue:5006", + "issue:539", + "issue:5455", + "issue:5607", + "issue:6239", + "issue:6280", + "issue:6761", + "issue:7133", + "issue:7146", + "issue:7147", + "issue:7178", + "issue:720", + "issue:7263", + "issue:7378", + "issue:758", + "issue:7644", + "issue:7735", + "issue:8613", + "issue:8667", + "issue:8817", + "issue:9112", + "issue:9187", + "issue:9202" + ], + "soft_pairs": [ + "issue:5455|issue:7133", + "issue:1082|issue:7146", + "issue:5006|issue:7146", + "issue:3382|issue:4872", + "issue:2578|issue:7178", + "issue:12235|issue:13351", + "issue:4450|issue:7735", + "issue:4542|issue:7378", + "issue:539|issue:6761", + "issue:7644|issue:8667", + "issue:8817|issue:9202", + "issue:10040|issue:3481", + "issue:1875|issue:720", + "issue:11133|issue:12108", + "issue:4052|issue:6280", + "issue:12666|issue:4356", + "issue:5607|issue:9112", + "issue:10937|issue:6239", + "issue:2904|issue:3497", + "issue:12195|issue:4356", + "issue:2234|issue:2296", + "issue:4316|issue:8613", + "issue:7263|issue:9187", + "issue:7147|issue:758", + "issue:1100|issue:1249" + ], + "prepared_review_unit_hash": "16cf077ca266ec3a8300b23713746c6bf24ae0dfe94deed0fffb0c9e8ba450dd", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34716, + "estimated_input_tokens": 8679, + "estimated_eval_tokens": 17614 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All candidate edges are weak title-level similarities; none look like the same concrete bug/change, so I rejected every soft pair. The issues span unrelated failures, model families, and code paths.", + "confidence": 0.79, + "canonical_issue_reason": "Issue 7146 is the clearest, most concrete bug report in the set: a specific SDXL training OOM with script/version context. It is the best available representative only because there is no strong duplicate cluster here.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 7146 has a well-scoped reproduction target and specific failure mode, making it the most suitable single issue to anchor triage if one must be chosen from this mixed set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5455", + "right": "issue:7133", + "accept": false, + "reason": "Both involve Dreambooth/training, but one is a notebook subprocess failure and the other is a checkpoint-resume text-encoder size mismatch; different bugs." + }, + { + "left": "issue:1082", + "right": "issue:7146", + "accept": false, + "reason": "Both are CUDA failures during training, but the error types and contexts differ (CUBLAS matmul crash vs SDXL training OOM)." + }, + { + "left": "issue:5006", + "right": "issue:7146", + "accept": false, + "reason": "Both mention SDXL training memory issues, but one is end-of-training BF16 OOM and the other is a general training OOM; not the same concrete failure." + }, + { + "left": "issue:3382", + "right": "issue:4872", + "accept": false, + "reason": "Both are OOM reports, but one is multi-GPU text-to-image training and the other is T4 Colab SDXL finetuning; too broad to be the same bug." + }, + { + "left": "issue:2578", + "right": "issue:7178", + "accept": false, + "reason": "Editable install failure and export_to_video malfunction are unrelated code paths and different kinds of breakage." + }, + { + "left": "issue:12235", + "right": "issue:13351", + "accept": false, + "reason": "Both relate to Wan fun/control features, but one is a support request and the other is a specific model/controlnet combination; not clearly the same issue." + }, + { + "left": "issue:4450", + "right": "issue:7735", + "accept": false, + "reason": "Multi-text inversion not working is unrelated to a missing caption column in a training dataset." + }, + { + "left": "issue:4542", + "right": "issue:7378", + "accept": false, + "reason": "One is a pipeline output-count limitation; the other is a memory-cost complaint about latent decoding. Different symptoms and likely different fixes." + }, + { + "left": "issue:539", + "right": "issue:6761", + "accept": false, + "reason": "Both are API/keyword-argument errors, but they hit different functions with different missing parameters; not the same underlying bug." + }, + { + "left": "issue:7644", + "right": "issue:8667", + "accept": false, + "reason": "Both concern non-power-of-two image handling, but they affect different models/pipelines and the exact failure modes are not shown to be the same." + }, + { + "left": "issue:8817", + "right": "issue:9202", + "accept": false, + "reason": "Both involve IP-Adapter/FaceID, but one is a general FaceID problem and the other is a specific SDXL PAGPipeline incompatibility; too distinct." + }, + { + "left": "issue:10040", + "right": "issue:3481", + "accept": false, + "reason": "Grey-image generation is not the same as DDIM step-count changing image determinism; one is a rendering defect, the other is expected sampling behavior." + }, + { + "left": "issue:1875", + "right": "issue:720", + "accept": false, + "reason": "Both are mixed precision/type mismatch errors, but one is Imagic fp16 training and the other is traced UNet documentation code; different code paths." + }, + { + "left": "issue:11133", + "right": "issue:12108", + "accept": false, + "reason": "CogVideoX image-to-video and Qwen/Chroma flow-matching scheduler issues are separate pipeline/scheduler problems." + }, + { + "left": "issue:4052", + "right": "issue:6280", + "accept": false, + "reason": "Missing from_single_file on different pipeline classes is a shared API gap, but these are separate classes and not the same concrete bug." + }, + { + "left": "issue:12666", + "right": "issue:4356", + "accept": false, + "reason": "A missing Kandinsky 5.0 video pipeline and a missing dummy_torch_and_transformers module are unrelated release/package issues." + }, + { + "left": "issue:5607", + "right": "issue:9112", + "accept": false, + "reason": "Tensor size mismatch here appears in unrelated contexts: one during concatenation with 64 vs 512, the other in Auraflow with 264 vs 4096." + }, + { + "left": "issue:10937", + "right": "issue:6239", + "accept": false, + "reason": "Both touch torch.compile/FX around VAE encode, but one is an error on vae.encode and the other is a request to better support latent_dist.sample(); not the same bug." + }, + { + "left": "issue:2904", + "right": "issue:3497", + "accept": false, + "reason": "AudioLDM scheduler NoneType and StableDiffusionInpaintPipeline from_ckpt are unrelated pipeline API failures." + }, + { + "left": "issue:12195", + "right": "issue:4356", + "accept": false, + "reason": "A PyTorch 2.3.1 custom_op incompatibility is not the same as the missing dummy module import issue." + }, + { + "left": "issue:2234", + "right": "issue:2296", + "accept": false, + "reason": "Both concern xformers attention, but one is training fine-tuning failure and the other is a T4 inference/runtime issue; different manifestations and likely different root causes." + }, + { + "left": "issue:4316", + "right": "issue:8613", + "accept": false, + "reason": "Validation-option failure in dreambooth training is unrelated to an OOM from caption_column configuration." + }, + { + "left": "issue:7263", + "right": "issue:9187", + "accept": false, + "reason": "IP Adapter + attention slicing and IP Adapter + image_encoder_folder=None after Kolors update are different incompatibilities." + }, + { + "left": "issue:7147", + "right": "issue:758", + "accept": false, + "reason": "Missing StableCascadeDecoderPipeline import and urllib3 PROTOCOL_TLS import error are unrelated dependency/API breakages." + }, + { + "left": "issue:1100", + "right": "issue:1249", + "accept": false, + "reason": "Both mention missing .device attributes, but one is CLIPTextTransformer and the other is numpy.ndarray in OnnxPipeline; different objects and code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 44, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10381", + "issue:10428", + "issue:10848", + "issue:10937", + "issue:11033", + "issue:11149", + "issue:11464", + "issue:11651", + "issue:1214", + "issue:13137", + "issue:13446", + "issue:13484", + "issue:1434", + "issue:1614", + "issue:2210", + "issue:2780", + "issue:2856", + "issue:3045", + "issue:3480", + "issue:3582", + "issue:4194", + "issue:4368", + "issue:4453", + "issue:4534", + "issue:4724", + "issue:4835", + "issue:4874", + "issue:4969", + "issue:5006", + "issue:5374", + "issue:5619", + "issue:5846", + "issue:6278", + "issue:6524", + "issue:6584", + "issue:6761", + "issue:6794", + "issue:6879", + "issue:7033", + "issue:7238", + "issue:7660", + "issue:8236", + "issue:8708", + "issue:8887", + "issue:9091", + "issue:9497", + "issue:9660", + "issue:9841" + ], + "soft_pairs": [ + "issue:10848|issue:11149", + "issue:10937|issue:9091", + "issue:6879|issue:9497", + "issue:10381|issue:10428", + "issue:1614|issue:4724", + "issue:11033|issue:1214", + "issue:4368|issue:5006", + "issue:1214|issue:7660", + "issue:13137|issue:13484", + "issue:13446|issue:9660", + "issue:2210|issue:3480", + "issue:2856|issue:6584", + "issue:3045|issue:4453", + "issue:4194|issue:6524", + "issue:4969|issue:6794", + "issue:5374|issue:6761", + "issue:7033|issue:7238", + "issue:8708|issue:8887", + "issue:11464|issue:11651", + "issue:4835|issue:4874", + "issue:2780|issue:5846", + "issue:1434|issue:4874", + "issue:6278|issue:8236", + "issue:4534|issue:9841", + "issue:3582|issue:5619" + ], + "prepared_review_unit_hash": "48e4e876f1f35abe1c79846b547ba4fc0431a330b10fde47c82aa6021dc23336", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34202, + "estimated_input_tokens": 8551, + "estimated_eval_tokens": 17358 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very heterogeneous: most items are unrelated issue reports that only share superficial wording around model loading, LoRA, VAE, or training errors. None of the soft pairs looks like the same underlying bug/change, so I would not merge any of them.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 11464 is the clearest, most concrete representative of the recurring Flux/LoRA loading failures in this set; it is more specific and actionable than the broader or orthogonal errors elsewhere in the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "11464 is a good anchor for the cluster because it is a specific user-facing failure with a clearly stated pipeline/model context, whereas many other items are either different subsystems or much narrower edge cases.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10848", + "right": "issue:11149", + "accept": false, + "reason": "Both are TypeErrors during loading, but they involve different APIs and different missing parameters (`device` vs `dtype`) in separate code paths." + }, + { + "left": "issue:10937", + "right": "issue:9091", + "accept": false, + "reason": "One is a `torch.compile` error on `vae.encode`; the other is a compile-support request for a VAE decoder. Same general area, not the same bug." + }, + { + "left": "issue:6879", + "right": "issue:9497", + "accept": false, + "reason": "Different failures, different models, and different stack points: a dtype mismatch in Custom Diffusion vs a Flux DreamBooth matrix-shape error." + }, + { + "left": "issue:10381", + "right": "issue:10428", + "accept": false, + "reason": "Both mention Flux inference, but the reported environments and failures differ substantially (`quantization & LoRA` vs `ascend npu`)." + }, + { + "left": "issue:1614", + "right": "issue:4724", + "accept": false, + "reason": "These are distinct pipeline problems: black images with autocast vs SDXL img2img behavior with a base checkpoint." + }, + { + "left": "issue:11033", + "right": "issue:1214", + "accept": false, + "reason": "Unet loading from single file is unrelated to a CLIPTextModel half-precision issue." + }, + { + "left": "issue:4368", + "right": "issue:5006", + "accept": false, + "reason": "Both involve OOM during training, but one is generic SDXL LoRA training and the other is a specific BF16 end-of-training issue." + }, + { + "left": "issue:1214", + "right": "issue:7660", + "accept": false, + "reason": "Half-precision CLIPTextModel failure and a trace example not working are unrelated." + }, + { + "left": "issue:13137", + "right": "issue:13484", + "accept": false, + "reason": "Both are Flux 2 LoRA-loading complaints, but the model variants and LoRA formats are different enough that this is not clearly the same bug." + }, + { + "left": "issue:13446", + "right": "issue:9660", + "accept": false, + "reason": "Custom pipeline trust checking and pipeline module eval-mode handling are different concerns." + }, + { + "left": "issue:2210", + "right": "issue:3480", + "accept": false, + "reason": "One requests training the text encoder with LoRA; the other requests a scale parameter for text-encoder LoRA layers. Related topic, not duplicate." + }, + { + "left": "issue:2856", + "right": "issue:6584", + "accept": false, + "reason": "General SD-to-diffusers conversion and a specific DreamShaper inpaint conversion failure are not the same report." + }, + { + "left": "issue:3045", + "right": "issue:4453", + "accept": false, + "reason": "These are opposite conversion directions and different target tools/workflows." + }, + { + "left": "issue:4194", + "right": "issue:6524", + "accept": false, + "reason": "VAE not working in `from_single_file` and reloading LoRA a second time are separate bugs." + }, + { + "left": "issue:4969", + "right": "issue:6794", + "accept": false, + "reason": "Importing `CrossAttention` and importing `cast_training_params` are unrelated import errors." + }, + { + "left": "issue:5374", + "right": "issue:6761", + "accept": false, + "reason": "Unexpected `checkpoint_path` and unexpected `preprocess` keyword are different API mismatches." + }, + { + "left": "issue:7033", + "right": "issue:7238", + "accept": false, + "reason": "Attention-masking warning logs vs masking behavior are not the same concrete issue." + }, + { + "left": "issue:8708", + "right": "issue:8887", + "accept": false, + "reason": "Both touch SD3 training/VAE handling, but one is a missing config field and the other is a wrong encode path." + }, + { + "left": "issue:11464", + "right": "issue:11651", + "accept": false, + "reason": "Both are FluxControl LoRA-loading failures, but they reference different LoRA variants and no evidence shows the same code-path bug." + }, + { + "left": "issue:4835", + "right": "issue:4874", + "accept": false, + "reason": "MultiControlNet img2img behavior and local low_res_scheduler loading are unrelated." + }, + { + "left": "issue:2780", + "right": "issue:5846", + "accept": false, + "reason": "Different training scripts and different failure modes: FP16 gradient unscale vs resume-from-checkpoint error." + }, + { + "left": "issue:1434", + "right": "issue:4874", + "accept": false, + "reason": "OOM on upscale and a local low_res_scheduler bug are not the same problem." + }, + { + "left": "issue:6278", + "right": "issue:8236", + "accept": false, + "reason": "Both mention multi-GPU examples, but one is an LCM distillation run failure and the other is an LR scheduler step-count bug." + }, + { + "left": "issue:4534", + "right": "issue:9841", + "accept": false, + "reason": "MPS validation crash in SDXL DreamBooth and a `use_dora=False` TypeError in SDXL DreamBooth LoRA training are different bugs." + }, + { + "left": "issue:3582", + "right": "issue:5619", + "accept": false, + "reason": "ControlNet inpaint `strength=1` and AutoencodeTiny img2img encoding are separate pipeline issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 45, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10055", + "issue:10266", + "issue:10421", + "issue:10738", + "issue:10823", + "issue:10952", + "issue:11209", + "issue:11224", + "issue:11247", + "issue:11285", + "issue:11702", + "issue:1214", + "issue:13162", + "issue:13484", + "issue:1742", + "issue:1931", + "issue:1979", + "issue:234", + "issue:2856", + "issue:3382", + "issue:3481", + "issue:3619", + "issue:3774", + "issue:3910", + "issue:4073", + "issue:4086", + "issue:4340", + "issue:4468", + "issue:4476", + "issue:4736", + "issue:5259", + "issue:6130", + "issue:6176", + "issue:6226", + "issue:6536", + "issue:6761", + "issue:7056", + "issue:7178", + "issue:7310", + "issue:7483", + "issue:7708", + "issue:771", + "issue:8514", + "issue:9179", + "issue:9180", + "issue:9911", + "issue:9962" + ], + "soft_pairs": [ + "issue:3619|issue:771", + "issue:1979|issue:2856", + "issue:10055|issue:7310", + "issue:4340|issue:6176", + "issue:11285|issue:6226", + "issue:4073|issue:9180", + "issue:13162|issue:13484", + "issue:5259|issue:7708", + "issue:1214|issue:7178", + "issue:10421|issue:4468", + "issue:10952|issue:3910", + "issue:1742|issue:3481", + "issue:4086|issue:7483", + "issue:4476|issue:9179", + "issue:7056|issue:8514", + "issue:3382|issue:3774", + "issue:10823|issue:6536", + "issue:6761|issue:9962", + "issue:11209|issue:11702", + "issue:11209|issue:6130", + "issue:11224|issue:11702", + "issue:11224|issue:6130", + "issue:10266|issue:10738", + "issue:3382|issue:4736", + "issue:1931|issue:234", + "issue:11247|issue:9911" + ], + "prepared_review_unit_hash": "367e261684105b00f645bfa6923954135066cc7c77a13b16b66edf02e8203b73", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + 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No PRs are present.", + "confidence": 0.77, + "canonical_issue_reason": "issue:6130 is the best canonical target: it is the earliest and most-discussed generic \"Error while loading Lora\" report, and it matches the later exact-title reports more closely than the more specific LoRA failures.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6130 is the strongest overall representative of the repeated LoRA-loading problem in this set; it is broad enough to anchor the duplicate reports and has the most discussion among the exact-match candidates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3619", + "right": "issue:771", + "accept": false, + "reason": "Different subsystems and failure modes: Text2Video-Zero attention vs DreamBooth bf16 precision." + }, + { + "left": "issue:1979", + "right": "issue:2856", + "accept": true, + "reason": "Same underlying conversion problem: both are about converting Stable Diffusion models to diffusers and failing during that path." + }, + { + "left": "issue:10055", + "right": "issue:7310", + "accept": false, + "reason": "Both are training-script problems, but for different models/scripts and different concrete failures." + }, + { + "left": "issue:4340", + "right": "issue:6176", + "accept": false, + "reason": "LoRA-related, but one is SDXL text-encoder training and the other is loading LoRA weights after dreambooth training; not the same bug." + }, + { + "left": "issue:11285", + "right": "issue:6226", + "accept": true, + "reason": "Both point to conversion-script compatibility issues that break downstream loading; likely the same stable-diffusion<->diffusers conversion bug." + }, + { + "left": "issue:4073", + "right": "issue:9180", + "accept": false, + "reason": "Unrelated runtime errors in different code paths: safety checker astype vs missing _execution_device." + }, + { + "left": "issue:13162", + "right": "issue:13484", + "accept": false, + "reason": "Both mention Flux LoRA support/loading, but they are different model variants and not clearly the same concrete defect." + }, + { + "left": "issue:5259", + "right": "issue:7708", + "accept": false, + "reason": "Both are missing-file errors, but for different expected files and different model assets." + }, + { + "left": "issue:1214", + "right": "issue:7178", + "accept": false, + "reason": "Completely different areas: half-precision CLIP text model vs video export behavior." + }, + { + "left": "issue:10421", + "right": "issue:4468", + "accept": false, + "reason": "Both involve multi-GPU behavior, but one is a CPU memory leak and the other is a performance difference; not the same bug." + }, + { + "left": "issue:10952", + "right": "issue:3910", + "accept": false, + "reason": "Both are LoRA loading failures, but one is a specific adapter-name mismatch and the other is a generic statement about certain LoRAs not loading." + }, + { + "left": "issue:1742", + "right": "issue:3481", + "accept": false, + "reason": "Different concerns: prompt-list inference speed vs image output differences across inference steps." + }, + { + "left": "issue:4086", + "right": "issue:7483", + "accept": false, + "reason": "Different operations and models: SDXL ControlNet training vs LoRA-to-diffusers conversion for SDXL." + }, + { + "left": "issue:4476", + "right": "issue:9179", + "accept": true, + "reason": "Both describe SDXL+ControlNet training producing poor/unexpected results on the same general setup, likely the same underlying training issue." + }, + { + "left": "issue:7056", + "right": "issue:8514", + "accept": false, + "reason": "Different errors in different fine-tuning scenarios; no clear shared code-path." + }, + { + "left": "issue:3382", + "right": "issue:3774", + "accept": false, + "reason": "Both are distributed-training memory complaints, but one is multi-GPU OOM and the other is zero3 not saving memory; not the same concrete issue." + }, + { + "left": "issue:10823", + "right": "issue:6536", + "accept": false, + "reason": "Different symptoms and workflows: missing inference files vs UNet3DConditionModel OOM during fine-tuning." + }, + { + "left": "issue:6761", + "right": "issue:9962", + "accept": false, + "reason": "Both are unexpected keyword-argument errors, but against different APIs and unrelated call sites." + }, + { + "left": "issue:11209", + "right": "issue:11702", + "accept": false, + "reason": "Both are LoRA loading errors, but 11702 is a specific AccVid key error and 11209 is a generic loading failure." + }, + { + "left": "issue:11209", + "right": "issue:6130", + "accept": true, + "reason": "Same generic LoRA-loading failure; the titles are effectively the same and 6130 is the clearest duplicate target." + }, + { + "left": "issue:11224", + "right": "issue:11702", + "accept": false, + "reason": "Generic LoRA load error vs specific AccVid LoRA key error; not clearly the same bug." + }, + { + "left": "issue:11224", + "right": "issue:6130", + "accept": true, + "reason": "Same generic LoRA-loading failure; 11224 reads like a later duplicate of the 6130 report." + }, + { + "left": "issue:10266", + "right": "issue:10738", + "accept": false, + "reason": "Both mention index out-of-bounds, but one is UniPC+FlowMatch and the other is a scheduler sigma issue; too little evidence they are the same defect." + }, + { + "left": "issue:3382", + "right": "issue:4736", + "accept": false, + "reason": "Both are training-related OOM-style reports, but one is multi-GPU memory use and the other includes invalid-value casting in a different script." + }, + { + "left": "issue:1931", + "right": "issue:234", + "accept": false, + "reason": "Related half-precision issues, but one is SD2 half/float mismatch and the other is a pipeline half-precision general failure." + }, + { + "left": "issue:11247", + "right": "issue:9911", + "accept": false, + "reason": "Both involve Flux/controlnet multi-GPU behavior, but one is a distribution attribute issue and the other is a multi-controlnet layer-length error." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays mostly conservative. The chosen canonical issue, issue:6130, is well supported by the repeated generic LoRA-loading reports, and the accepted soft pairs are plausible matches rather than overclaims. No PRs are present, and the cluster summary appropriately notes a mixed set with a few likely duplicate-like groups." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 46, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10040", + "issue:10169", + "issue:10436", + "issue:1070", + "issue:10860", + "issue:11160", + "issue:11396", + "issue:12108", + "issue:12141", + "issue:12359", + "issue:1251", + "issue:12771", + "issue:12896", + "issue:13300", + "issue:1565", + "issue:1988", + "issue:2495", + "issue:2578", + "issue:2991", + "issue:3191", + "issue:3235", + "issue:3812", + "issue:4478", + "issue:4551", + "issue:4619", + "issue:4768", + "issue:4885", + "issue:4911", + "issue:4936", + "issue:5226", + "issue:579", + "issue:5884", + "issue:5886", + "issue:6082", + "issue:7057", + "issue:7228", + "issue:7666", + "issue:7854", + "issue:7974", + "issue:817", + "issue:8668", + "issue:8833", + "issue:8922", + "issue:9343", + "issue:9476", + "issue:9500", + "issue:9548", + "issue:9970" + ], + "soft_pairs": [ + "issue:11160|issue:12896", + "issue:4911|issue:7228", + "issue:1988|issue:4619", + "issue:2578|issue:5226", + "issue:10169|issue:3812", + "issue:4768|issue:5884", + "issue:4478|issue:9476", + "issue:12141|issue:7057", + "issue:7057|issue:7666", + "issue:13300|issue:8668", + "issue:9500|issue:9970", + "issue:2991|issue:817", + "issue:12771|issue:9343", + "issue:3235|issue:4885", + "issue:6082|issue:7854", + "issue:12108|issue:12359", + "issue:10040|issue:8922", + "issue:3191|issue:4936", + "issue:1565|issue:4551", + "issue:9500|issue:9548", + "issue:579|issue:8833", + "issue:10436|issue:1070", + "issue:1251|issue:2495", + "issue:10860|issue:11396", + "issue:5886|issue:7974" + ], + "prepared_review_unit_hash": "16246af649ec749cd3f91429ff8ae469df78658be913815ac49d76acaaf0e9ba", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34484, + "estimated_input_tokens": 8621, + "estimated_eval_tokens": 17498 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly separate bug reports that only overlap at a high level (black/grey images, dtype mismatches, config/load failures, training issues). I do not see any strong duplicate pairs among the soft edges, so the cluster should not be collapsed aggressively.", + "confidence": 0.82, + "canonical_issue_reason": "issue:9500 is the most detailed and discussion-heavy report here, and it best serves as a representative anchor for the repeated DreamBooth/Flux training-failure theme among the training-related issues.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9500 has the richest repro/context and the highest activity, so it is the most useful single issue to keep as the representative bug report in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11160", + "right": "issue:12896", + "accept": false, + "reason": "Both mention WAN 2.1/2.2 I2V, but one is about inconsistent inference results and the other is a CUDA-vs-MPS failure; different bug modes and likely different causes." + }, + { + "left": "issue:4911", + "right": "issue:7228", + "accept": false, + "reason": "Both are load-time errors, but one is about custom text_encoder loading from_single_file and the other is a traced-model dtype attribute error; not the same failure." + }, + { + "left": "issue:1988", + "right": "issue:4619", + "accept": false, + "reason": "Both are mixed-precision type-mismatch errors, but they affect different training scripts and model variants; too broad to treat as one concrete bug." + }, + { + "left": "issue:2578", + "right": "issue:5226", + "accept": false, + "reason": "Editable install problems and LoRA-loading failure in SDXL adapter pipeline are unrelated issues." + }, + { + "left": "issue:10169", + "right": "issue:3812", + "accept": false, + "reason": "Missing config.json and missing {'controlnet'} config entry are different configuration-loading problems." + }, + { + "left": "issue:4768", + "right": "issue:5884", + "accept": false, + "reason": "One is a checkpoint-saving feature request for multiple T2I adapters, the other is adding IP-Adapter support across pipelines; not the same change." + }, + { + "left": "issue:4478", + "right": "issue:9476", + "accept": false, + "reason": "Both involve dtype/loading problems, but SDXL inference bias-type mismatch and FLUX loading with ignore_mismatched_sizes are distinct failures." + }, + { + "left": "issue:12141", + "right": "issue:7057", + "accept": false, + "reason": "WanVACEPipeline VAE dtype incompatibility and a generic checkpoint loading failure are not the same bug." + }, + { + "left": "issue:7057", + "right": "issue:7666", + "accept": false, + "reason": "A checkpoint load failure and a custom pipeline from_single_file failure are separate issues with different code paths." + }, + { + "left": "issue:13300", + "right": "issue:8668", + "accept": false, + "reason": "CPU generation failures on SD3.5/FLUX and an image-size alignment bug in SD3 img2img are unrelated." + }, + { + "left": "issue:9500", + "right": "issue:9970", + "accept": false, + "reason": "Both are DreamBooth training reports, but one is about checkpoint saving in FLUX and the other is an SDXL LoRA training failure; different code paths." + }, + { + "left": "issue:2991", + "right": "issue:817", + "accept": false, + "reason": "Both are mixed-precision example bugs, but they affect different examples and likely different call sites." + }, + { + "left": "issue:12771", + "right": "issue:9343", + "accept": false, + "reason": "A scheduler out-of-bounds error and a FLUX loading/mismatched-sizes error are unrelated." + }, + { + "left": "issue:3235", + "right": "issue:4885", + "accept": false, + "reason": "Custom Diffusion weights with biases failing to load and SDXL ControlNet Img2Img LoRA loading are different loading features." + }, + { + "left": "issue:6082", + "right": "issue:7854", + "accept": false, + "reason": "Both are Half/Float runtime mismatches, but the titles indicate different contexts and not a clearly shared concrete bug." + }, + { + "left": "issue:12108", + "right": "issue:12359", + "accept": false, + "reason": "A scheduler/flow-matching pipeline break and a documentation bug about guidance_scale are not duplicates." + }, + { + "left": "issue:10040", + "right": "issue:8922", + "accept": false, + "reason": "Grey-image generation in Stable Diffusion 3 and black-image output from a quantized SD3 single-file setup are similar symptoms but not the same underlying issue." + }, + { + "left": "issue:3191", + "right": "issue:4936", + "accept": false, + "reason": "Dreambooth+LoRA broken and Dreambooth LoRA resume broken since 0.19.0 are different bugs in the same area." + }, + { + "left": "issue:1565", + "right": "issue:4551", + "accept": false, + "reason": "GPU selection/OOM behavior and a DreamBooth crash on SDXL are unrelated." + }, + { + "left": "issue:9500", + "right": "issue:9548", + "accept": false, + "reason": "These are both Flux DreamBooth reports, but one is checkpoint saving and the other is a broader follow-up issue; not enough to merge as the same bug." + }, + { + "left": "issue:579", + "right": "issue:8833", + "accept": false, + "reason": "Textual Inversion config.json missing and SD3 medium model missing config.json are different model-loading cases." + }, + { + "left": "issue:10436", + "right": "issue:1070", + "accept": false, + "reason": "An inpainting model failing to load and a Stable Diffusion inpainting bug are too different in scope and symptom." + }, + { + "left": "issue:1251", + "right": "issue:2495", + "accept": false, + "reason": "Both produce black images on MPS, but they are different pipelines (RePaint vs Upscale) and there is no evidence of the same code-path." + }, + { + "left": "issue:10860", + "right": "issue:11396", + "accept": false, + "reason": "Both mention LoRA compatibility with ComfyUI, but they concern different model families and different conversion/loading questions." + }, + { + "left": "issue:5886", + "right": "issue:7974", + "accept": false, + "reason": "IP-Adapter face-model support and inpaint-with-IP-Adapter behavior are separate feature/bug reports." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 47, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10180", + "issue:10223", + "issue:10436", + "issue:11062", + "issue:11214", + "issue:11362", + "issue:11374", + "issue:11422", + "issue:11702", + "issue:11777", + "issue:11989", + "issue:12126", + "issue:12329", + "issue:1444", + "issue:1552", + "issue:1708", + "issue:1944", + "issue:2296", + "issue:2947", + "issue:3152", + "issue:3619", + "issue:4213", + "issue:4450", + "issue:5246", + "issue:5465", + "issue:5607", + "issue:5661", + "issue:6159", + "issue:6226", + "issue:646", + "issue:6574", + "issue:6584", + "issue:6594", + "issue:668", + "issue:6758", + "issue:696", + "issue:6964", + "issue:7057", + "issue:7168", + "issue:7293", + "issue:7432", + "issue:7660", + "issue:7708", + "issue:817", + "issue:861", + "issue:8939", + "issue:9180", + "issue:9643" + ], + "soft_pairs": [ + "issue:5607|issue:6574", + "issue:668|issue:696", + "issue:4213|issue:6964", + "issue:4213|issue:7660", + "issue:10436|issue:6226", + "issue:10180|issue:8939", + "issue:12126|issue:12329", + "issue:7168|issue:7432", + "issue:1708|issue:1944", + "issue:11422|issue:11777", + "issue:6584|issue:861", + "issue:11214|issue:11362", + "issue:11374|issue:7293", + "issue:11062|issue:11702", + "issue:5465|issue:9643", + "issue:2947|issue:9180", + "issue:5246|issue:646", + "issue:1552|issue:7057", + "issue:4450|issue:817", + "issue:5661|issue:7708", + "issue:10223|issue:11989", + "issue:6159|issue:6758", + "issue:1552|issue:3619", + "issue:2296|issue:6594", + "issue:1444|issue:3152" + ], + "prepared_review_unit_hash": "70d23bc9f223654ea9fb32ed0897a20237bf54b30a635dc9102994638c8d5ff4", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34969, + "estimated_input_tokens": 8743, + "estimated_eval_tokens": 17742 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly a loose mix of unrelated model-loading, LoRA, pipeline-argument, and training questions/bugs. None of the soft pairs look like true duplicates of the same underlying defect, so I would not merge any of them.", + "confidence": 0.88, + "canonical_issue_reason": "issue:10180 is the clearest concrete bug report in the set: a reproducible Flux Control LoRA loading failure with real discussion and references, making it the strongest single issue to anchor triage.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10180 is the best representative issue for the dominant theme here (LoRA/model-loading failures), but the overall set is too heterogeneous to imply one duplicate family.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5607", + "right": "issue:6574", + "accept": false, + "reason": "One is a tensor shape mismatch runtime error; the other is a warning about SVD pipeline input range. Different failure modes." + }, + { + "left": "issue:668", + "right": "issue:696", + "accept": false, + "reason": "Both mention DreamBooth training, but one is a T4 runtime failure and the other is plain CUDA OOM. Not the same bug." + }, + { + "left": "issue:4213", + "right": "issue:6964", + "accept": false, + "reason": "from_single_file/accelerate loading issue vs 4-channel UNet incompatibility. Different code paths and root causes." + }, + { + "left": "issue:4213", + "right": "issue:7660", + "accept": false, + "reason": "Both are example/loading complaints, but one is about from_single_file() and the other about a trace example. Too generic to be duplicates." + }, + { + "left": "issue:10436", + "right": "issue:6226", + "accept": false, + "reason": "One is a model-specific loading failure; the other is a conversion script causing webui loading errors. Related area, but not the same defect." + }, + { + "left": "issue:10180", + "right": "issue:8939", + "accept": false, + "reason": "Flux Control LoRA multi-load bug vs SD3 tokenizer load error. Different models and different failure layers." + }, + { + "left": "issue:12126", + "right": "issue:12329", + "accept": false, + "reason": "Wan2.2 cache_context inference error vs pipeline misclassifying a single-file transformer as Wan2.1. Related subsystem, distinct bugs." + }, + { + "left": "issue:7168", + "right": "issue:7432", + "accept": false, + "reason": "IP-Adapter embedding tensor-shape problem vs general output quality mismatch with WebUI. Not the same issue." + }, + { + "left": "issue:1708", + "right": "issue:1944", + "accept": false, + "reason": "One asks how to pass a YAML config; the other reports random dreambooth results. Question vs training quality bug." + }, + { + "left": "issue:11422", + "right": "issue:11777", + "accept": false, + "reason": "A concrete HiDream LoRA validation-prompt crash vs a general question about training HiDream-I1 LoRAs. Not duplicates." + }, + { + "left": "issue:6584", + "right": "issue:861", + "accept": false, + "reason": "Specific DreamShaper inpaint conversion failure vs generic ckpt-to-diffusers conversion complaint. Same broad area, different bug." + }, + { + "left": "issue:11214", + "right": "issue:11362", + "accept": false, + "reason": "Similar 'unexpected keyword argument' pattern, but different model classes and arguments; not clearly the same code path." + }, + { + "left": "issue:11374", + "right": "issue:7293", + "accept": false, + "reason": "SkyReels-V2 integration request and AudioLDM2 integration request are unrelated feature requests." + }, + { + "left": "issue:11062", + "right": "issue:11702", + "accept": false, + "reason": "Both are LoRA loading problems, but they involve different models and different errors (CivitAI load error vs key error)." + }, + { + "left": "issue:5465", + "right": "issue:9643", + "accept": false, + "reason": "DiffEdit inpaint_strength support vs Flux multiple ControlNets. Different pipelines and unrelated bugs." + }, + { + "left": "issue:2947", + "right": "issue:9180", + "accept": false, + "reason": "Missing load_attn_procs attribute vs missing _execution_device attribute. Both attribute errors, but on different objects and code paths." + }, + { + "left": "issue:5246", + "right": "issue:646", + "accept": false, + "reason": "CLIPImageProjection import issue vs PNDMScheduler set_format issue. Completely different components." + }, + { + "left": "issue:1552", + "right": "issue:7057", + "accept": false, + "reason": "Attention slicing regression vs an unspecified model checkpoint failure. No clear shared defect." + }, + { + "left": "issue:4450", + "right": "issue:817", + "accept": false, + "reason": "Multi-textual-inversion support bug vs mixed-precision DreamBooth issue. Same training umbrella only, not same bug." + }, + { + "left": "issue:5661", + "right": "issue:7708", + "accept": false, + "reason": "Tokenizer symbol missing vs tokenizer/config.json missing. Both tokenizer-related, but one is an import issue and the other is a model repo layout issue." + }, + { + "left": "issue:10223", + "right": "issue:11989", + "accept": false, + "reason": "A question about where to obtain a LoRA ID vs a black-image inference bug. Not duplicates." + }, + { + "left": "issue:6159", + "right": "issue:6758", + "accept": false, + "reason": "Both are unsupported pipeline kwargs, but for different arguments and different pipelines. Too broad to merge." + }, + { + "left": "issue:1552", + "right": "issue:3619", + "accept": false, + "reason": "Attention slicing on Stable Diffusion 2 vs CrossFrameAttention in Text2Video-Zero. Different features and failures." + }, + { + "left": "issue:2296", + "right": "issue:6594", + "accept": false, + "reason": "xformers behavior on T4 vs a network error fetching a YAML config. Entirely unrelated." + }, + { + "left": "issue:1444", + "right": "issue:3152", + "accept": false, + "reason": "StableDiffusionSafetyChecker import error vs TensorFlow Lite analyzer wrapper import error. Different ecosystems and bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 48, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10169", + "issue:11045", + "issue:11702", + "issue:13035", + "issue:1552", + "issue:1572", + "issue:1709", + "issue:1909", + "issue:1974", + "issue:2089", + "issue:2161", + "issue:2185", + "issue:2941", + "issue:3451", + "issue:3487", + "issue:3651", + "issue:3761", + "issue:3774", + "issue:3803", + "issue:3811", + "issue:4213", + "issue:4265", + "issue:4925", + "issue:5014", + "issue:5197", + "issue:5226", + "issue:5259", + "issue:5605", + "issue:5619", + "issue:5860", + "issue:5923", + "issue:5992", + "issue:6130", + "issue:6158", + "issue:6218", + "issue:6224", + "issue:6284", + "issue:6427", + "issue:6967", + "issue:7133", + "issue:746", + "issue:761", + "issue:8236", + "issue:9500", + "issue:9525", + "issue:9790", + "issue:9841" + ], + "soft_pairs": [ + "issue:3761|issue:746", + "issue:2185|issue:5197", + "issue:5014|issue:6284", + "issue:5619|issue:5860", + "issue:3651|issue:8236", + "issue:5226|issue:6218", + "issue:761|issue:9841", + "issue:9500|issue:9790", + "issue:5923|issue:6224", + "issue:1552|issue:1572", + "issue:3451|issue:3774", + "issue:4213|issue:6427", + "issue:10169|issue:5259", + "issue:2089|issue:4925", + "issue:11045|issue:9525", + "issue:2161|issue:3803", + "issue:1709|issue:5992", + "issue:2941|issue:3487", + "issue:3811|issue:9525", + "issue:11702|issue:6130", + "issue:13035|issue:4265", + "issue:1909|issue:1974", + "issue:5605|issue:6158", + "issue:6967|issue:7133" + ], + "prepared_review_unit_hash": "82752a503da4f0484f877432c820aecbc9ee4d7d9c6ba873d1288c470a2c2afe", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33490, + "estimated_input_tokens": 8373, + "estimated_eval_tokens": 17002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a broad false-positive grouping: the items span unrelated loading, training, and pipeline bugs rather than one underlying defect. None of the soft-edge pairs look like true duplicates or mergeable PR-equivalents.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 6130 is the most general and representative user-facing problem in the set ('Error while loading Lora'), but the cluster is too heterogeneous to have a true single canonical duplicate target.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6130 is the best representative issue only in the sense that it is a broad, concrete loading problem with substantial discussion; it is not a strong canonical for the whole cluster because the rest of the items are mostly different bugs.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3761", + "right": "issue:746", + "accept": false, + "reason": "Different failures: community pipeline process-loading vs ONNX revision import in img2img." + }, + { + "left": "issue:2185", + "right": "issue:5197", + "accept": false, + "reason": "Training config-file omission is unrelated to multi-GPU slowdown/performance behavior." + }, + { + "left": "issue:5014", + "right": "issue:6284", + "accept": false, + "reason": "Dreambooth LoRA output quality issue is distinct from SDXL LoRA validation/test result mismatch." + }, + { + "left": "issue:5619", + "right": "issue:5860", + "accept": false, + "reason": "AutoencodeTiny img2img encode bug is a different code path from Tiny Autoencoder + ControlNet pipeline failure." + }, + { + "left": "issue:3651", + "right": "issue:8236", + "accept": false, + "reason": "Multi-GPU DreamBooth execution failure is not the same as incorrect LR scheduler step counting." + }, + { + "left": "issue:5226", + "right": "issue:6218", + "accept": false, + "reason": "Both involve batching/LoRA-like generation behavior, but one is AdapterPipeline load_lora_weights and the other is batched seeds in ControlNet/img2img; different bugs." + }, + { + "left": "issue:761", + "right": "issue:9841", + "accept": false, + "reason": "Old DreamBooth 8-bit Adam training failure is unrelated to SDXL DreamBooth LoRA TypeError with use_dora=False." + }, + { + "left": "issue:9500", + "right": "issue:9790", + "accept": false, + "reason": "Checkpoint save failure during Flux Dreambooth training is distinct from multi-GPU training problems." + }, + { + "left": "issue:5923", + "right": "issue:6224", + "accept": false, + "reason": "Both concern training instability, but one is stuck execution in multi-GPU fine-tuning and the other is a TorchDynamo error in text-to-image training." + }, + { + "left": "issue:1552", + "right": "issue:1572", + "accept": false, + "reason": "Attention slicing on SD2 and stable_diffusion_mega img2img/inpainting are separate pipeline issues." + }, + { + "left": "issue:3451", + "right": "issue:3774", + "accept": false, + "reason": "fp16 memory regression in a training script is not the same as zero3 not saving memory in another script." + }, + { + "left": "issue:4213", + "right": "issue:6427", + "accept": false, + "reason": "SDXL from_single_file accelerate dependency issue is unrelated to broken diffusers-to-ckpt conversion." + }, + { + "left": "issue:10169", + "right": "issue:5259", + "accept": false, + "reason": "Both are missing-file load errors, but config.json missing and model_index.json missing are different concrete problems." + }, + { + "left": "issue:2089", + "right": "issue:4925", + "accept": false, + "reason": "AltDiffusion DreamBooth OOM and SDXL ControlNet distributed OOM are different models/training setups, not the same bug." + }, + { + "left": "issue:11045", + "right": "issue:9525", + "accept": false, + "reason": "Flux Schnell loading crash during Dreambooth LoRA training is distinct from lora_scale having no effect in Flux loading." + }, + { + "left": "issue:2161", + "right": "issue:3803", + "accept": false, + "reason": "LoRA training on an inpainting model and multi-GPU LoRA model sharing are different training issues." + }, + { + "left": "issue:1709", + "right": "issue:5992", + "accept": false, + "reason": "ONNX img2img Tensor.astype AttributeError is unrelated to llm_guided_diffusion bool/__module__ error." + }, + { + "left": "issue:2941", + "right": "issue:3487", + "accept": false, + "reason": "EulerAncestralDiscreteScheduler result quality in standard SD vs inpaint-with-strength poor results are related scheduler names but different code paths and symptoms." + }, + { + "left": "issue:3811", + "right": "issue:9525", + "accept": false, + "reason": "Both involve LoRA loading in Flux-like contexts, but 'no effect on generation' and 'lora_scale has no effect' are not clearly the same defect." + }, + { + "left": "issue:11702", + "right": "issue:6130", + "accept": false, + "reason": "AccVid LoRA key error when loading with diffusers is a different loading failure than the generic 'Error while loading Lora' report." + }, + { + "left": "issue:13035", + "right": "issue:4265", + "accept": false, + "reason": "Missing MT5Tokenizer import from transformers is unrelated to missing StableDiffusionXLControlNetPipeline import from diffusers." + }, + { + "left": "issue:1909", + "right": "issue:1974", + "accept": false, + "reason": "Generic scheduler-generator API mismatch and Euler-specific reproducibility failure are related only by generators, not the same bug." + }, + { + "left": "issue:5605", + "right": "issue:6158", + "accept": false, + "reason": "Per-image caption support request for SDXL dreambooth is a feature request, not the same as adding SDXL support to animatediff." + }, + { + "left": "issue:6967", + "right": "issue:7133", + "accept": false, + "reason": "Both are SDXL Dreambooth LoRA training problems, but one is prior-preservation shape mismatch and the other is checkpoint resume size mismatch; different failure points." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 49, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10382", + "issue:10472", + "issue:10512", + "issue:10653", + "issue:11169", + "issue:11410", + "issue:11464", + "issue:11907", + "issue:11922", + "issue:12436", + "issue:12728", + "issue:13035", + "issue:13286", + "issue:1377", + "issue:1439", + "issue:1538", + "issue:1717", + "issue:1985", + "issue:2324", + "issue:2371", + "issue:2480", + "issue:3152", + "issue:3223", + "issue:3296", + "issue:3357", + "issue:4139", + "issue:4256", + "issue:4534", + "issue:4885", + "issue:490", + "issue:499", + "issue:5178", + "issue:5226", + "issue:5633", + "issue:6069", + "issue:6218", + "issue:6295", + "issue:6382", + "issue:646", + "issue:6536", + "issue:6964", + "issue:7082", + "issue:7178", + "issue:7286", + "issue:7882", + "issue:852", + "issue:9200", + "issue:9556" + ], + "soft_pairs": [ + "issue:11169|issue:9200", + "issue:499|issue:5226", + "issue:11410|issue:5633", + "issue:2324|issue:2480", + "issue:1717|issue:3296", + "issue:5226|issue:6964", + "issue:6069|issue:6295", + "issue:1439|issue:646", + "issue:4256|issue:4534", + "issue:2324|issue:2371", + "issue:5178|issue:6069", + "issue:6382|issue:9556", + "issue:499|issue:7178", + "issue:10472|issue:6536", + "issue:1985|issue:7882", + "issue:10382|issue:5633", + "issue:1538|issue:3223", + "issue:12436|issue:852", + "issue:11907|issue:6218", + "issue:12728|issue:3357", + "issue:10512|issue:4885", + "issue:11464|issue:11922", + "issue:490|issue:6536", + "issue:10653|issue:13286", + "issue:13035|issue:7082", + "issue:1377|issue:3152", + "issue:4139|issue:7286" + ], + "prepared_review_unit_hash": "333f4665592bed45b7c019df73c043c69b5e533e7fc642bfdfcbf0550fbc9c33", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 35688, + "estimated_input_tokens": 8922, + "estimated_eval_tokens": 18100 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very heterogeneous: it mixes LoRA-loading bugs, scheduler/runtime errors, import failures, training-script issues, and torch.compile problems. I found no soft pair that looks like the same underlying bug/change, so all soft edges are rejected.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 10512 is the best anchor only in a loose sense: it is a concrete, user-facing Flux/LoRA loading failure and has the most discussion among the similar-looking subset. It is still not a true duplicate of the rest of the cluster, which spans many unrelated subsystems.", + "canonical_pr_reason": null, + "best_issue_reason": "10512 is the most central representative of the nearest theme in this noisy cluster, but it is not a good global canonical for all items because the cluster is too broad and mixed.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11169", + "right": "issue:9200", + "accept": false, + "reason": "Different failure classes: numpy ABI/binary incompatibility during import vs a dtype error in StableDiffusionXLControlNetPipeline." + }, + { + "left": "issue:499", + "right": "issue:5226", + "accept": false, + "reason": "Both are pipeline-related, but one is an example unconditional training script failure and the other is LoRA loading for SDXL Adapter; different code paths." + }, + { + "left": "issue:11410", + "right": "issue:5633", + "accept": false, + "reason": "Attention unpacking ValueError in a processor call is unrelated to a bug in transformer_temporal.py." + }, + { + "left": "issue:2324", + "right": "issue:2480", + "accept": false, + "reason": "Both concern Dreambooth training, but one is about instance data reading and the other about checkpoint directory structure; not the same bug." + }, + { + "left": "issue:1717", + "right": "issue:3296", + "accept": false, + "reason": "Offline model-cache loading and Dreambooth checkpoint saving/loading are different mechanisms and failure modes." + }, + { + "left": "issue:5226", + "right": "issue:6964", + "accept": false, + "reason": "Both are load-related pipeline issues, but one is about LoRA weights on an SDXL adapter pipeline and the other is 4-channel UNet support in ControlNet inpaint." + }, + { + "left": "issue:6069", + "right": "issue:6295", + "accept": false, + "reason": "Different scheduler bugs: add_noise at t=0 vs artifacts with DPM++ 2M SDE Karras/use_lu_lambdas." + }, + { + "left": "issue:1439", + "right": "issue:646", + "accept": false, + "reason": "Different import/API regressions: FeatureExtractionMixin missing vs PNDMScheduler lacking set_format." + }, + { + "left": "issue:4256", + "right": "issue:4534", + "accept": false, + "reason": "Both are Dreambooth-related, but one is a generic training error and the other is an MPS validation crash." + }, + { + "left": "issue:2324", + "right": "issue:2371", + "accept": false, + "reason": "Same training area, but one is about reading instance data and the other is about generated objects not appearing in output; not a duplicate." + }, + { + "left": "issue:5178", + "right": "issue:6069", + "accept": false, + "reason": "Different scheduler issues: resolution changes after first run vs add_noise failing at t=0." + }, + { + "left": "issue:6382", + "right": "issue:9556", + "accept": false, + "reason": "Both mention LoRA-related workflows, but one is an IP-adapter key error during SDXL training/use and the other is problems with saved LoRA models under rslora." + }, + { + "left": "issue:499", + "right": "issue:7178", + "accept": false, + "reason": "Training script failure vs export_to_video behavior; unrelated code paths." + }, + { + "left": "issue:10472", + "right": "issue:6536", + "accept": false, + "reason": "Different issues entirely: unexpected lora_bias argument in inference vs out-of-memory during UNet3DConditionModel fine-tuning." + }, + { + "left": "issue:1985", + "right": "issue:7882", + "accept": false, + "reason": "Both relate to adding/loading capabilities, but embeddings on Stable Diffusion vs missing from_single_file on a T2I adapter pipeline are not the same bug." + }, + { + "left": "issue:10382", + "right": "issue:5633", + "accept": false, + "reason": "VAE forward return-type mismatch causing AttributeError is unrelated to a bug in transformer_temporal.py." + }, + { + "left": "issue:1538", + "right": "issue:3223", + "accept": false, + "reason": "Different runtime problems: StableDiffusionMegaPipeline model compatibility vs memory not clearing after moving pipeline to cuda." + }, + { + "left": "issue:12436", + "right": "issue:852", + "accept": false, + "reason": "Both are constructor keyword regressions, but offload_state_dict in CLIPTextModel is different from device_map on MPS in diffusers 0.5.1." + }, + { + "left": "issue:11907", + "right": "issue:6218", + "accept": false, + "reason": "Scheduler compatibility bug in FLUX vs batched seeds behavior in ControlNet/img2img; not the same underlying issue." + }, + { + "left": "issue:12728", + "right": "issue:3357", + "accept": false, + "reason": "Both involve torch.compile/Dynamo, but one is a channels_last + Wan 2.2 runtime/unsupported behavior problem and the other is a hasattr TensorVariable compile error." + }, + { + "left": "issue:10512", + "right": "issue:4885", + "accept": false, + "reason": "Both are LoRA-related, but one is unable to load Quanto Flux LoRA and the other is SDXL ControlNet Img2Img not loading LoRA weights; different pipelines and failure modes." + }, + { + "left": "issue:11464", + "right": "issue:11922", + "accept": false, + "reason": "Both are FLUX model issues, but one is loading a Canny-dev LoRA into FluxControlPipeline and the other is a generic FLUX.1-Fill-dev runtime problem." + }, + { + "left": "issue:490", + "right": "issue:6536", + "accept": false, + "reason": "Memory pressure in diffusion pipelines vs out-of-memory while fine-tuning UNet3DConditionModel; too broad and different contexts." + }, + { + "left": "issue:10653", + "right": "issue:13286", + "accept": false, + "reason": "8-bit .to(cpu) limitation for HunyuanVideoTransformer3DModel is unrelated to torchao quantization support in general." + }, + { + "left": "issue:13035", + "right": "issue:7082", + "accept": false, + "reason": "Import errors from different dependency packages: transformers MT5Tokenizer vs accelerate.hooks CpuOffload." + }, + { + "left": "issue:1377", + "right": "issue:3152", + "accept": false, + "reason": "Different external import failures: CLIPVisionModelWithProjection from transformers vs a TensorFlow Lite analyzer wrapper symbol." + }, + { + "left": "issue:4139", + "right": "issue:7286", + "accept": false, + "reason": "Both involve attention/custom diffusion, but one is precision casting for a custom attention processor and the other is cross-attention weight loading in Attend-and-Excite; not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 50, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10180", + "issue:10450", + "issue:10612", + "issue:10653", + "issue:10989", + "issue:11225", + "issue:11241", + "issue:11352", + "issue:11408", + "issue:11464", + "issue:11585", + "issue:1643", + "issue:1842", + "issue:2482", + "issue:2560", + "issue:2819", + "issue:2875", + "issue:3094", + "issue:3450", + "issue:3565", + "issue:3595", + "issue:3604", + "issue:3884", + "issue:4052", + "issue:4213", + "issue:4483", + "issue:4885", + "issue:499", + "issue:5014", + "issue:5016", + "issue:5197", + "issue:5621", + "issue:5628", + "issue:5798", + "issue:6069", + "issue:6362", + "issue:646", + "issue:7276", + "issue:7378", + "issue:7418", + "issue:9170", + "issue:9171", + "issue:9343", + "issue:9370", + "issue:9546", + "issue:9841", + "issue:9911" + ], + "soft_pairs": [ + "issue:5014|issue:9841", + "issue:3450|issue:3595", + "issue:5014|issue:5016", + "issue:10989|issue:11464", + "issue:3884|issue:7276", + "issue:4213|issue:499", + "issue:10180|issue:4885", + "issue:4213|issue:9171", + "issue:3565|issue:6362", + "issue:4052|issue:646", + "issue:10612|issue:9343", + "issue:1842|issue:5798", + "issue:10653|issue:11352", + "issue:1643|issue:9370", + "issue:11585|issue:4483", + "issue:2482|issue:3604", + "issue:11225|issue:3094", + "issue:2875|issue:5197", + "issue:7378|issue:9170", + "issue:10010|issue:10450", + "issue:2819|issue:7418", + "issue:5628|issue:6069", + "issue:11241|issue:9546", + "issue:11408|issue:5621", + "issue:2560|issue:9911" + ], + "prepared_review_unit_hash": "3c124435ad4ec2cbb77478f8f1864611b0eb78ac9e9008ed81275472e309148f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34781, + "estimated_input_tokens": 8696, + "estimated_eval_tokens": 17648 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is noisy and mostly groups Flux/LoRA/ControlNet/model-loading issues by lexical similarity. Only one pair looks like a true duplicate; the rest are related only at a broad subsystem level or describe different failure modes.", + "confidence": 0.73, + "canonical_issue_reason": "issue:10989 is the clearest representative of the main Flux LoRA loading problem, with a concrete failure mode (quantized transformers) and the strongest overlap with other Flux/LoRA loader reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10989 is the best issue to anchor this cluster because it states the core Flux ControlNet LoRA loading bug most concretely and broadly.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5014", + "right": "issue:9841", + "accept": false, + "reason": "Both are DreamBooth/LoRA-related, but one is a vague poor-results report and the other is a specific TypeError when use_dora=False; different bugs." + }, + { + "left": "issue:3450", + "right": "issue:3595", + "accept": true, + "reason": "Both report the same from_ckpt loading failure, with nearly identical wording and same code path." + }, + { + "left": "issue:5014", + "right": "issue:5016", + "accept": false, + "reason": "General bad LoRA training results vs a specific SDXL text-encoder training limitation; not the same concrete defect." + }, + { + "left": "issue:10989", + "right": "issue:11464", + "accept": false, + "reason": "Both mention Flux/LoRA loading, but one is quantization-specific and the other is a model/pipeline loading failure for a Canny LoRA; too different to merge." + }, + { + "left": "issue:3884", + "right": "issue:7276", + "accept": false, + "reason": "Different examples and different failure classes: LoRA script error vs dreambooth pretrained_model network errors." + }, + { + "left": "issue:4213", + "right": "issue:499", + "accept": false, + "reason": "from_single_file accelerate dependency issue vs an unrelated unconditional training script problem." + }, + { + "left": "issue:10180", + "right": "issue:4885", + "accept": false, + "reason": "Both involve LoRA loading, but they affect different pipelines and describe different adapter-loading behavior." + }, + { + "left": "issue:4213", + "right": "issue:9171", + "accept": false, + "reason": "from_single_file without accelerate is unrelated to the SD1.5 v_prediction regression." + }, + { + "left": "issue:3565", + "right": "issue:6362", + "accept": false, + "reason": "Both are OOM reports, but they occur in different training stages and scripts; not the same bug." + }, + { + "left": "issue:4052", + "right": "issue:646", + "accept": false, + "reason": "Missing from_single_file method vs scheduler.set_format attribute error; unrelated API issues." + }, + { + "left": "issue:10612", + "right": "issue:9343", + "accept": false, + "reason": "Both are FLUX load issues, but one is NF4/LoRA loading and the other is low_cpu_mem_usage/ignore_mismatched_sizes; different code paths." + }, + { + "left": "issue:1842", + "right": "issue:5798", + "accept": false, + "reason": "Different missing-argument API errors (`eta` vs `callback_on_step_end`) in different pipelines." + }, + { + "left": "issue:10653", + "right": "issue:11352", + "accept": false, + "reason": "Both concern bitsandbytes 8bit/CPU movement, but one is a hard `.to()` error and the other is about missing warning behavior; not same concrete bug." + }, + { + "left": "issue:1643", + "right": "issue:9370", + "accept": false, + "reason": "Completely different model API errors: xformers attention signature vs missing pooled_projection." + }, + { + "left": "issue:11585", + "right": "issue:4483", + "accept": false, + "reason": "A subjective output-quality complaint is not the same as a determinism bug." + }, + { + "left": "issue:2482", + "right": "issue:3604", + "accept": false, + "reason": "Both discuss weak LoRA training, but one is non-convergence and the other is loss not decreasing; too vague to treat as duplicates." + }, + { + "left": "issue:11225", + "right": "issue:3094", + "accept": false, + "reason": "Both are OOM during training, but on different models/examples and different phases." + }, + { + "left": "issue:2875", + "right": "issue:5197", + "accept": false, + "reason": "Training loss NaN and multi-GPU performance regression are unrelated issues." + }, + { + "left": "issue:7378", + "right": "issue:9170", + "accept": false, + "reason": "Different memory problems in different pipelines; one is latent decoding, the other SDXL/ControlNet training memory size." + }, + { + "left": "issue:10010", + "right": "issue:10450", + "accept": false, + "reason": "Missing model_index.json for FLUX Fill example is unrelated to an architectural difference between transformer blocks." + }, + { + "left": "issue:2819", + "right": "issue:7418", + "accept": false, + "reason": "A broken raw.githubusercontent example URL and a bug in a specific community pipeline are unrelated." + }, + { + "left": "issue:5628", + "right": "issue:6069", + "accept": false, + "reason": "Both are scheduler bugs, but they affect different schedulers and different numerical edge cases." + }, + { + "left": "issue:11241", + "right": "issue:9546", + "accept": false, + "reason": "Floating point exception during Flux ControlNet training vs validation-step OOM; different failure modes." + }, + { + "left": "issue:11408", + "right": "issue:5621", + "accept": false, + "reason": "Compiled-model adapter support and SDXL ControlNet encoder_hid_proj support are unrelated feature gaps." + }, + { + "left": "issue:2560", + "right": "issue:9911", + "accept": false, + "reason": "Determinism with a list of generators vs multi-ControlNet layer-length incompatibility are different issues." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The one accepted pair, issue:3450 vs issue:3595, is well supported by the nearly identical from_ckpt failure descriptions. The other pair judgments are appropriately cautious given the titles/bodies available. The only slightly broad phrasing is the claim that issue:10989 is the cluster anchor, since it is quantization-specific, but it still works as a representative Flux LoRA loading issue." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 51, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1070", + "issue:10804", + "issue:1082", + "issue:11062", + "issue:11464", + "issue:11585", + "issue:11700", + "issue:1188", + "issue:1614", + "issue:1617", + "issue:1672", + "issue:2288", + "issue:2296", + "issue:3788", + "issue:4006", + "issue:4061", + "issue:4094", + "issue:4256", + "issue:4529", + "issue:4530", + "issue:460", + "issue:490", + "issue:4916", + "issue:4925", + "issue:5006", + "issue:5012", + "issue:5225", + "issue:5412", + "issue:5433", + "issue:5442", + "issue:5474", + "issue:6130", + "issue:6159", + "issue:6176", + "issue:6353", + "issue:6385", + "issue:6761", + "issue:6894", + "issue:7146", + "issue:725", + "issue:7322", + "issue:7619", + "issue:8514", + "issue:8939", + "issue:9421", + "issue:9643", + "issue:9732", + "issue:9804" + ], + "soft_pairs": [ + "issue:4006|issue:4916", + "issue:1082|issue:4256", + "issue:3788|issue:5442", + "issue:4529|issue:6761", + "issue:4925|issue:6353", + "issue:1614|issue:1672", + "issue:1070|issue:9421", + "issue:4530|issue:5433", + "issue:2288|issue:4094", + "issue:11585|issue:2296", + "issue:10804|issue:11464", + "issue:1617|issue:7619", + "issue:5012|issue:6894", + "issue:11062|issue:6130", + "issue:1188|issue:5474", + "issue:1672|issue:490", + "issue:11700|issue:725", + "issue:7146|issue:8514", + "issue:5412|issue:7322", + "issue:8939|issue:9804", + "issue:6159|issue:9643", + "issue:1070|issue:460", + "issue:4061|issue:6176", + "issue:5225|issue:6385", + "issue:5006|issue:9732" + ], + "prepared_review_unit_hash": "cbd696c0f32312decf3ce21663d7e0e80826c294848e77b60919c9041f529da6", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34720, + "estimated_input_tokens": 8680, + "estimated_eval_tokens": 17616 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes many unrelated training, OOM, pipeline, and LoRA-loading reports. The soft-similarity pairs mostly reflect broad thematic overlap rather than the same underlying bug, so none should be merged as duplicates.", + "confidence": 0.9, + "canonical_issue_reason": "issue:6130 is the broadest and most central report in the LoRA-loading subset ('Error while loading Lora'); it can serve as an umbrella reference, but it is not a true duplicate of the other issue-specific failures.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6130 is the best representative issue because it is the most generic and closest to a catch-all for the repeated LoRA-loading complaints in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4006", + "right": "issue:4916", + "accept": false, + "reason": "Both are training-related and mention gradient checkpointing/DeepSpeed, but they describe different failure modes and contexts; not the same concrete bug." + }, + { + "left": "issue:1082", + "right": "issue:4256", + "accept": false, + "reason": "Both are training errors, but one is a CUDA cublas failure in Dreambooth and the other is a generic SDXL-Dreambooth training error; too little evidence they share one root cause." + }, + { + "left": "issue:3788", + "right": "issue:5442", + "accept": false, + "reason": "Different new-pipeline feature requests (UniControl vs ScaleCrafter); no indication of the same change or bug." + }, + { + "left": "issue:4529", + "right": "issue:6761", + "accept": false, + "reason": "Both are API/compatibility errors, but one is a LoRA loader keyword mismatch and the other is a VaeImageProcessor.preprocess argument issue; different code paths." + }, + { + "left": "issue:4925", + "right": "issue:6353", + "accept": false, + "reason": "Both concern SDXL training examples, but one is distributed ControlNet OOM and the other is an example-command failure; not the same underlying issue." + }, + { + "left": "issue:1614", + "right": "issue:1672", + "accept": false, + "reason": "Both relate to incorrect image outputs after conversion/autocast, but the symptoms and workflows differ enough that they do not look like one bug." + }, + { + "left": "issue:1070", + "right": "issue:9421", + "accept": false, + "reason": "Both mention inpainting models, but one is a bug in a new inpainting version and the other is inability to access a specific model repository; different problems." + }, + { + "left": "issue:4530", + "right": "issue:5433", + "accept": false, + "reason": "Both involve SDXL artifacts, but one is a refiner artifact issue and the other is DPM++ scheduler artifacts without refiner; not the same concrete defect." + }, + { + "left": "issue:2288", + "right": "issue:4094", + "accept": false, + "reason": "These are separate feature requests for different training scripts (InstructPix2Pix vs T2I adapters)." + }, + { + "left": "issue:11585", + "right": "issue:2296", + "accept": false, + "reason": "A generic poor-result report is not the same as xformers failing on T4; too broad to be duplicates." + }, + { + "left": "issue:10804", + "right": "issue:11464", + "accept": false, + "reason": "Both are LoRA loading problems, but one is FLUX1.dev LoRA loading and the other is FLUX.1-Canny-dev-lora into FluxControlPipeline; similar area, different concrete failure." + }, + { + "left": "issue:1617", + "right": "issue:7619", + "accept": false, + "reason": "Both are training-script errors, but one is missing required args for Dreambooth and the other is a channel-count mismatch; distinct bugs." + }, + { + "left": "issue:5012", + "right": "issue:6894", + "accept": false, + "reason": "Both concern SDXL LoRA text-encoder behavior, but one is inability to train the text encoder and the other is a LoRA not working in A1111; different manifestations and code paths." + }, + { + "left": "issue:11062", + "right": "issue:6130", + "accept": false, + "reason": "Both are LoRA loading complaints, but one is a specific CivitAI LoRA loading error and the other is a generic 'Error while loading Lora'; likely related only at a broad level, not clearly the same bug." + }, + { + "left": "issue:1188", + "right": "issue:5474", + "accept": false, + "reason": "Different feature requests for different pipelines (CLIPSeg+SD vs Stable Diffusion Reference Only)." + }, + { + "left": "issue:1672", + "right": "issue:490", + "accept": false, + "reason": "Both are model conversion/memory-related issues, but one is wrong output size after ckpt-to-diffusers conversion and the other is general memory problems; not the same defect." + }, + { + "left": "issue:11700", + "right": "issue:725", + "accept": false, + "reason": "Both concern loading pipelines/models with lower memory use, but one requests pruna integration and the other asks for device map/accelerate support; different changes." + }, + { + "left": "issue:7146", + "right": "issue:8514", + "accept": false, + "reason": "Both are training failures, but one is SDXL fine-tuning CUDA OOM and the other is an EMAModel parallel fine-tuning error; different root causes." + }, + { + "left": "issue:5412", + "right": "issue:7322", + "accept": false, + "reason": "Both mention SDXL Dreambooth LoRA training failures, but one is checkpoint resume failure and the other is SIGKILL/OOM with a newer diffusers version; not the same concrete bug." + }, + { + "left": "issue:8939", + "right": "issue:9804", + "accept": false, + "reason": "Both are model-loading errors, but one is a tokenizer load failure for SD3 and the other is local SDXL ControlNet model loading; unrelated." + }, + { + "left": "issue:6159", + "right": "issue:9643", + "accept": false, + "reason": "Both involve unsupported ControlNet/Flux-related API behavior, but one is a missing denoising_end argument on SDXL ControlNetXSPipeline and the other is multiple ControlNets on Flux; different features." + }, + { + "left": "issue:1070", + "right": "issue:460", + "accept": false, + "reason": "Inpainting model issue vs ONNX/CUDA runtime dependency issue; unrelated subsystems." + }, + { + "left": "issue:4061", + "right": "issue:6176", + "accept": false, + "reason": "Both are LoRA-loading errors, but one is an SDXL load-lora issue and the other is loading LoRA weights after Dreambooth training; similar area, not the same bug." + }, + { + "left": "issue:5225", + "right": "issue:6385", + "accept": false, + "reason": "Both are VRAM-heavy SDXL-related problems, but one is a training forward-pass OOM and the other is unexpectedly high VRAM in StableVideoDiffusionPipeline; different code paths." + }, + { + "left": "issue:5006", + "right": "issue:9732", + "accept": false, + "reason": "Both are SDXL training OOMs, but one is BF16-specific end-of-training CUDA OOM and the other is a Flux dreambooth guide OOM on 3090 Ti; not clearly the same issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 52, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10282", + "issue:10650", + "issue:11045", + "issue:1552", + "issue:1565", + "issue:1974", + "issue:2185", + "issue:2459", + "issue:3124", + "issue:3177", + "issue:3382", + "issue:3420", + "issue:3582", + "issue:3619", + "issue:3802", + "issue:3803", + "issue:3884", + "issue:4468", + "issue:5028", + "issue:5319", + "issue:5466", + "issue:5515", + "issue:5619", + "issue:5884", + "issue:6069", + "issue:6176", + "issue:6362", + "issue:6446", + "issue:6610", + "issue:6866", + "issue:7002", + "issue:7064", + "issue:7146", + "issue:7157", + "issue:7197", + "issue:7210", + "issue:7263", + "issue:771", + "issue:7728", + "issue:7799", + "issue:8578", + "issue:8909", + "issue:9026", + "issue:9141", + "issue:9343", + "issue:9525", + "issue:9556" + ], + "soft_pairs": [ + "issue:2459|issue:3802", + "issue:3803|issue:4468", + "issue:6610|issue:9141", + "issue:10282|issue:8578", + "issue:1552|issue:6446", + "issue:11045|issue:9343", + "issue:3420|issue:771", + "issue:5319|issue:7157", + "issue:5466|issue:6176", + "issue:2185|issue:7197", + "issue:2459|issue:3124", + "issue:5028|issue:9026", + "issue:5884|issue:6866", + "issue:8909|issue:9556", + "issue:3582|issue:3619", + "issue:3884|issue:7728", + "issue:10650|issue:7002", + "issue:6362|issue:7146", + "issue:1974|issue:5619", + "issue:2459|issue:3619", + "issue:10026|issue:3177", + "issue:7210|issue:9525", + "issue:6866|issue:7064", + "issue:5515|issue:6069", + "issue:1565|issue:3382", + "issue:7263|issue:7799" + ], + "prepared_review_unit_hash": "7699020fdb07eede8b06a675c0209b0d6b9281b74099c55ad05b38d47584a339", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34844, + "estimated_input_tokens": 8711, + "estimated_eval_tokens": 17678 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose lexical grouping of many unrelated diffusers training/loading issues. None of the soft pairs look like the same underlying bug or change, so all soft edges should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2459", + "right": "issue:3802", + "accept": false, + "reason": "Different bugs: xformers attention in one training script vs checkpoint retention limit not working in training examples." + }, + { + "left": "issue:3803", + "right": "issue:4468", + "accept": false, + "reason": "Both mention multi-GPU behavior, but one is about LoRA model sharing/state across GPUs and the other is about performance differences; not the same concrete failure." + }, + { + "left": "issue:6610", + "right": "issue:9141", + "accept": false, + "reason": "Different APIs and failure modes: SDXL inpaint `num_in_channels` ignored vs FluxPipeline missing `from_single_file()`." + }, + { + "left": "issue:10282", + "right": "issue:8578", + "accept": false, + "reason": "Both are loading/meta-tensor errors, but the model shapes and root causes differ; not the same bug." + }, + { + "left": "issue:1552", + "right": "issue:6446", + "accept": false, + "reason": "Stable Diffusion 2 attention slicing issue is unrelated to minimal-loading/Colab model loading failure." + }, + { + "left": "issue:11045", + "right": "issue:9343", + "accept": false, + "reason": "Both involve Flux loading/training, but one is a DreamBooth LoRA crash and the other is a parameter-loading mismatch with low_cpu_mem_usage/ignore_mismatched_sizes." + }, + { + "left": "issue:3420", + "right": "issue:771", + "accept": false, + "reason": "ControlNet inpaint pipeline integration issue vs BF16 dreambooth support; different code paths and symptoms." + }, + { + "left": "issue:5319", + "right": "issue:7157", + "accept": false, + "reason": "Both touch PEFT/LoRA, but one is about loading speed and the other about unexpected keys when loading an LCM LoRA; not the same defect." + }, + { + "left": "issue:5466", + "right": "issue:6176", + "accept": false, + "reason": "Different LoRA loading problems: SDXL shape mismatch on image-to-image load vs failure after training dreambooth_lora." + }, + { + "left": "issue:2185", + "right": "issue:7197", + "accept": false, + "reason": "Missing config files for naive text-to-image training is unrelated to the KeyError while resuming training from local SD 1.5." + }, + { + "left": "issue:2459", + "right": "issue:3124", + "accept": false, + "reason": "One is a training-script xformers issue; the other is a model conversion failure. No shared concrete bug." + }, + { + "left": "issue:5028", + "right": "issue:9026", + "accept": false, + "reason": "Unexpected keyword/forward signature problems in different components: reference pipeline forward hook vs accelerate dispatch argument mismatch." + }, + { + "left": "issue:5884", + "right": "issue:6866", + "accept": false, + "reason": "Both are IP-Adapter feature requests, but one is broad support across ControlNet/T2I pipelines and the other is specific to SDXL ControlNet Inpaint." + }, + { + "left": "issue:8909", + "right": "issue:9556", + "accept": false, + "reason": "Different LoRA-save problems: text_encoder_ti saving in an advanced DreamBooth script vs rslora save-format problems." + }, + { + "left": "issue:3582", + "right": "issue:3619", + "accept": false, + "reason": "Different pipelines and bugs: ControlNet inpaint strength handling vs Text2Video-Zero CrossFrameAttention." + }, + { + "left": "issue:3884", + "right": "issue:7728", + "accept": false, + "reason": "Both are training-script errors, but they involve different scripts and different failure conditions; not the same issue." + }, + { + "left": "issue:10650", + "right": "issue:7002", + "accept": false, + "reason": "Different shape/buffer failures in different pipelines and models; too generic to treat as one bug." + }, + { + "left": "issue:6362", + "right": "issue:7146", + "accept": false, + "reason": "Both mention SDXL OOM, but one is dataset mapping memory usage and the other is fine-tuning OOM; related theme, not same root cause." + }, + { + "left": "issue:1974", + "right": "issue:5619", + "accept": false, + "reason": "Euler scheduler generator-list reproducibility bug is unrelated to AutoencodeTiny/LCM image-encoding failure." + }, + { + "left": "issue:2459", + "right": "issue:3619", + "accept": false, + "reason": "xformers memory-efficient attention in a training script is unrelated to CrossFrameAttention not working in Text2Video-Zero." + }, + { + "left": "issue:10026", + "right": "issue:3177", + "accept": false, + "reason": "Both concern DeepSpeed stage 3 memory/offload behavior, but one is Flux ControlNet multi-GPU training and the other is DreamBooth stage-3 offloading; different code paths." + }, + { + "left": "issue:7210", + "right": "issue:9525", + "accept": false, + "reason": "Different Flux-related problems: missing `named_parameters` under checkpoint dispatch vs `lora_scale` having no effect when loading." + }, + { + "left": "issue:6866", + "right": "issue:7064", + "accept": false, + "reason": "Both are IP-Adapter support issues, but they target different pipelines and capabilities, so they are not the same bug/change." + }, + { + "left": "issue:5515", + "right": "issue:6069", + "accept": false, + "reason": "LCM pipeline initialization without a scheduler is unrelated to DPM++ Karras `add_noise` failing at `t=0`." + }, + { + "left": "issue:1565", + "right": "issue:3382", + "accept": false, + "reason": "GPU selection/placement complaint vs multi-GPU OOM in text-to-image training; similar theme, different underlying issue." + }, + { + "left": "issue:7263", + "right": "issue:7799", + "accept": false, + "reason": "IP-Adapter plus attention slicing vs IP-Adapter matmul size mismatch in a different pipeline; not the same concrete failure." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 53, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10154", + "issue:10337", + "issue:10542", + "issue:10952", + "issue:11006", + "issue:11127", + "issue:11145", + "issue:11436", + "issue:12104", + "issue:12141", + "issue:1261", + "issue:12656", + "issue:12689", + "issue:13300", + "issue:1478", + "issue:1552", + "issue:1614", + "issue:1672", + "issue:222", + "issue:2296", + "issue:2549", + "issue:2838", + "issue:2904", + "issue:3420", + "issue:3884", + "issue:4086", + "issue:4104", + "issue:4256", + "issue:4316", + "issue:4557", + "issue:5037", + "issue:5607", + "issue:5757", + "issue:6073", + "issue:6082", + "issue:6086", + "issue:6415", + "issue:6741", + "issue:684", + "issue:8482", + "issue:8556", + "issue:8659", + "issue:8667", + "issue:8817", + "issue:9443", + "issue:9525", + "issue:9599", + "issue:9861" + ], + "soft_pairs": [ + "issue:11145|issue:9599", + "issue:4557|issue:6741", + "issue:4256|issue:6073", + "issue:12104|issue:12656", + "issue:10154|issue:9525", + "issue:12141|issue:1552", + "issue:10952|issue:12689", + "issue:8556|issue:9443", + "issue:11436|issue:6082", + "issue:6415|issue:8817", + "issue:10337|issue:13300", + "issue:4086|issue:684", + "issue:1261|issue:222", + "issue:10542|issue:11006", + "issue:2838|issue:8482", + "issue:1614|issue:4104", + "issue:11127|issue:9861", + "issue:4316|issue:5037", + "issue:1478|issue:1614", + "issue:2549|issue:3420", + "issue:1672|issue:2296", + "issue:2904|issue:4557", + "issue:5607|issue:8667", + "issue:5757|issue:8659", + "issue:3884|issue:6086" + ], + "prepared_review_unit_hash": "dfab6d643699c7335cf732b48d11c9300ad7dfdad7efa254d9281c7595112473", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34676, + "estimated_input_tokens": 8669, + "estimated_eval_tokens": 17594 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a loose collection of unrelated issues with title-level similarity only. A few pairs look like true duplicates within narrow failure modes (FaceID/IP-Adapter support, black-image/autocast, DreamBooth validation, checkpoint resume, and one SD3 tensor-shape case), but there is no single coherent cluster-wide bug.", + "confidence": 0.58, + "canonical_issue_reason": "Issue 1614 is the clearest concrete bug in the set and has the strongest duplicate signal, with 4104 describing the same black-image/cast failure mode.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1614 is the strongest representative issue because it states a specific symptom and code path, and it cleanly matches a close duplicate candidate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11145", + "right": "issue:9599", + "accept": false, + "reason": "Both are about FLUX LoRA support, but one is a support request and the other is a missing example; not the same bug." + }, + { + "left": "issue:4557", + "right": "issue:6741", + "accept": false, + "reason": "Both are AttributeError-type reports, but they hit different code paths and different missing attributes." + }, + { + "left": "issue:4256", + "right": "issue:6073", + "accept": false, + "reason": "Same DreamBooth area, but the reports are too generic and likely different training/setup failures." + }, + { + "left": "issue:12104", + "right": "issue:12656", + "accept": false, + "reason": "Both mention index errors, but AuraFlow positional embedding OOB is a different bug from a generic out-of-bounds crash." + }, + { + "left": "issue:10154", + "right": "issue:9525", + "accept": false, + "reason": "Both involve LoRA loading in Flux, but one is an attribute error and the other is lora_scale having no effect; different failures." + }, + { + "left": "issue:12141", + "right": "issue:1552", + "accept": false, + "reason": "Different subsystems and symptoms: VAE dtype mismatch versus attention slicing behavior." + }, + { + "left": "issue:10952", + "right": "issue:12689", + "accept": false, + "reason": "Both are LoRA-adjacent, but adapter-name registration and checkpoint weight loading are different underlying problems." + }, + { + "left": "issue:8556", + "right": "issue:9443", + "accept": false, + "reason": "Different SD3 load-time failures: meta-tensor copying versus tokenizer instantiation." + }, + { + "left": "issue:11436", + "right": "issue:6082", + "accept": false, + "reason": "Both are dtype mismatches, but they involve different models and different dtype combinations." + }, + { + "left": "issue:6415", + "right": "issue:8817", + "accept": true, + "reason": "Both report IP-Adapter FaceID/FaceID-plus not being usable; same missing-support issue." + }, + { + "left": "issue:10337", + "right": "issue:13300", + "accept": false, + "reason": "Different model/runtime contexts; quantized IP-Adapter failure is not the same as CPU generation failures." + }, + { + "left": "issue:4086", + "right": "issue:684", + "accept": false, + "reason": "Different hardware and training bugs; only the broad training subsystem overlaps." + }, + { + "left": "issue:1261", + "right": "issue:222", + "accept": false, + "reason": "A specific xformers backward assert is not the same as a generic training RuntimeError." + }, + { + "left": "issue:10542", + "right": "issue:11006", + "accept": false, + "reason": "Both are video-pipeline issues, but different models and different root causes." + }, + { + "left": "issue:2838", + "right": "issue:8482", + "accept": false, + "reason": "One is a ControlNet support request, the other is SD3 model support; related area but not the same bug." + }, + { + "left": "issue:1614", + "right": "issue:4104", + "accept": true, + "reason": "Both describe black-image output tied to cast/autocast behavior in Stable Diffusion 2.x; same failure mode." + }, + { + "left": "issue:11127", + "right": "issue:9861", + "accept": false, + "reason": "One is single-file model loading, the other is Flux training not updating weights; different problems." + }, + { + "left": "issue:4316", + "right": "issue:5037", + "accept": true, + "reason": "Both are train_dreambooth.py validation-image errors and likely stem from the same validation-image handling bug." + }, + { + "left": "issue:1478", + "right": "issue:1614", + "accept": false, + "reason": "Output-count limitation versus black-image/autocast corruption; not the same issue." + }, + { + "left": "issue:2549", + "right": "issue:3420", + "accept": false, + "reason": "Different model/pipeline incompatibilities, not one shared bug." + }, + { + "left": "issue:1672", + "right": "issue:2296", + "accept": false, + "reason": "Completely different topics: image-size conversion bug versus xformers attention on T4." + }, + { + "left": "issue:2904", + "right": "issue:4557", + "accept": false, + "reason": "Both are AttributeError reports, but on unrelated pipeline/object paths." + }, + { + "left": "issue:5607", + "right": "issue:8667", + "accept": true, + "reason": "Both point to tensor-size mismatches in SD3ControlNetModel with incompatible image shapes; same underlying shape bug." + }, + { + "left": "issue:5757", + "right": "issue:8659", + "accept": true, + "reason": "Both are SDXL checkpoint resume/load failures in training scripts, suggesting the same checkpoint-state handling bug." + }, + { + "left": "issue:3884", + "right": "issue:6086", + "accept": false, + "reason": "Same training family, but different error types and root causes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative about the overall cluster. The accepted soft pairs are plausible duplicates within narrow failure modes, and the rejected pairs do not overclaim equivalence. No mergeability issue is present because this is not a PR-pair case." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 54, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10055", + "issue:10640", + "issue:11314", + "issue:11585", + "issue:1214", + "issue:1249", + "issue:1552", + "issue:1572", + "issue:1709", + "issue:1867", + "issue:1949", + "issue:1974", + "issue:1976", + "issue:2044", + "issue:2052", + "issue:2089", + "issue:2296", + "issue:2299", + "issue:2560", + "issue:259", + "issue:3032", + "issue:3582", + "issue:4125", + "issue:490", + "issue:499", + "issue:5577", + "issue:5603", + "issue:6444", + "issue:6610", + "issue:6741", + "issue:6865", + "issue:7079", + "issue:7197", + "issue:7431", + "issue:746", + "issue:7483", + "issue:7574", + "issue:7708", + "issue:7751", + "issue:776", + "issue:8317", + "issue:8494", + "issue:8511", + "issue:8534", + "issue:8589", + "issue:859", + "issue:8939", + "issue:9398" + ], + "soft_pairs": [ + "issue:10640|issue:7079", + "issue:2044|issue:6741", + "issue:7483|issue:7708", + "issue:8317|issue:9398", + "issue:8494|issue:859", + "issue:1572|issue:1867", + "issue:2299|issue:490", + "issue:11585|issue:1976", + "issue:6444|issue:6610", + "issue:259|issue:776", + "issue:1974|issue:2560", + "issue:10055|issue:2052", + "issue:1249|issue:3032", + "issue:5577|issue:7574", + "issue:1214|issue:499", + "issue:4125|issue:7197", + "issue:5603|issue:6865", + "issue:746|issue:8939", + "issue:8511|issue:8589", + "issue:1552|issue:2296", + "issue:1709|issue:3032", + "issue:2089|issue:7431", + "issue:11314|issue:8534", + "issue:1949|issue:7751", + "issue:1552|issue:3582" + ], + "prepared_review_unit_hash": "1a264a65092a3da1c8165bb41bbb03ca11bb1d00ebb4824817a2301863804d89", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 35019, + "estimated_input_tokens": 8755, + "estimated_eval_tokens": 17766 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous training/inference bug reports, not a tight duplicate set. The only plausible duplicate pair is the list-of-generators img2img bug (1974/2560); the rest differ by pipeline, model family, or root cause.", + "confidence": 0.74, + "canonical_issue_reason": "If one issue has to represent the cluster, issue 2560 is the best fit because it is the broadest version of the only near-duplicate subtopic we can see: incorrect img2img behavior when using a list of generators.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 2560 is the strongest representative of the generator-list img2img bug; however, the surrounding issues are too unrelated for a strong cluster canonical.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10640", + "right": "issue:7079", + "accept": false, + "reason": "Different failures: DataParallel/multi-GPU interaction vs Transformer2DModel patch/layer-norm error." + }, + { + "left": "issue:2044", + "right": "issue:6741", + "accept": false, + "reason": "Unrelated bugs: DDP dtype access vs missing CLI argument in a train script." + }, + { + "left": "issue:7483", + "right": "issue:7708", + "accept": false, + "reason": "Different problems: LoRA conversion for SDXL-base models vs missing tokenizer/config files for SDXL checkpoint loading." + }, + { + "left": "issue:8317", + "right": "issue:9398", + "accept": false, + "reason": "Different code paths: AsymmetricAutoencoderKL decode signature vs CombinedTimestepGuidanceTextProjEmbeddings argument mismatch." + }, + { + "left": "issue:8494", + "right": "issue:859", + "accept": false, + "reason": "Different API errors: SD3 force_hooks keyword vs device_map constructor argument." + }, + { + "left": "issue:1572", + "right": "issue:1867", + "accept": false, + "reason": "Both are img2img-related, but one is a mega pipeline mode issue and the other is a low-strength scheduler behavior bug; not the same bug." + }, + { + "left": "issue:2299", + "right": "issue:490", + "accept": false, + "reason": "One is checkpoint conversion/output packaging; the other is a memory usage comparison issue." + }, + { + "left": "issue:11585", + "right": "issue:1976", + "accept": false, + "reason": "A general 'web UI result' complaint is not the same underlying bug as a specific tokenizer path/OSError." + }, + { + "left": "issue:6444", + "right": "issue:6610", + "accept": false, + "reason": "Different SDXL training/inference failures: peft_config access vs num_in_channels being ignored in from_single_file." + }, + { + "left": "issue:259", + "right": "issue:776", + "accept": false, + "reason": "Different features: progress bar rendering vs img2img batch_size>1 breakage." + }, + { + "left": "issue:1974", + "right": "issue:2560", + "accept": true, + "reason": "Both report incorrect img2img batch generation when passing a list of generators; same generator-handling bug in the pipeline/scheduler path." + }, + { + "left": "issue:10055", + "right": "issue:2052", + "accept": false, + "reason": "ControlNet SD3 training script failure is unrelated to textual inversion checkpoint resume logic." + }, + { + "left": "issue:1249", + "right": "issue:3032", + "accept": false, + "reason": "ONNX ndarray/device error is unrelated to a missing from_pretrained attribute on a ControlNet pipeline class." + }, + { + "left": "issue:5577", + "right": "issue:7574", + "accept": false, + "reason": "Different conversion/loading failures: ControlNet single-file key mismatch vs UNet weight key mismatch." + }, + { + "left": "issue:1214", + "right": "issue:499", + "accept": false, + "reason": "Half-precision CLIPTextModel behavior is unrelated to the example unconditional training script not working." + }, + { + "left": "issue:4125", + "right": "issue:7197", + "accept": false, + "reason": "Different training concerns: LoRA loss-curve expectations vs a resume-time KeyError in text-image training." + }, + { + "left": "issue:5603", + "right": "issue:6865", + "accept": false, + "reason": "ImportError for a removed utility is unrelated to a load_image Image-type check bug." + }, + { + "left": "issue:746", + "right": "issue:8939", + "accept": false, + "reason": "Different loading problems: ONNX revision loading vs tokenizer files missing for SD3 medium." + }, + { + "left": "issue:8511", + "right": "issue:8589", + "accept": false, + "reason": "Both are SD3 DreamBooth topics, but one is text-encoder unloading and the other is prior-preservation support; different bugs." + }, + { + "left": "issue:1552", + "right": "issue:2296", + "accept": false, + "reason": "Attention slicing on SD2 and xformers on T4 are separate memory/performance issues." + }, + { + "left": "issue:1709", + "right": "issue:3032", + "accept": false, + "reason": "ONNX tensor/astype error is unrelated to the ControlNet pipeline attribute error." + }, + { + "left": "issue:2089", + "right": "issue:7431", + "accept": false, + "reason": "Different training bugs: AltDiffusion DreamBooth OOM vs DoRA with text encoder issues." + }, + { + "left": "issue:11314", + "right": "issue:8534", + "accept": false, + "reason": "Different SD3 training-script mistakes: Flux ControlNet training bug vs SD3 DreamBooth logit-normal weighting." + }, + { + "left": "issue:1949", + "right": "issue:7751", + "accept": false, + "reason": "Generic DreamBooth tutorial training errors are unrelated to animatediff motion-module conversion errors." + }, + { + "left": "issue:1552", + "right": "issue:3582", + "accept": false, + "reason": "Attention slicing and ControlNet inpaint strength=1 are different pipeline behaviors." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. It correctly treats the cluster as heterogeneous and only accepts the one clearly supported near-duplicate pair (1974/2560) about list-of-generators img2img behavior. The other soft-edge rejections are cautious and consistent with the issue titles." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 55, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10266", + "issue:10673", + "issue:1082", + "issue:11006", + "issue:11160", + "issue:11839", + "issue:1214", + "issue:12157", + "issue:12433", + "issue:12559", + "issue:12771", + "issue:1407", + "issue:1919", + "issue:2578", + "issue:2645", + "issue:337", + "issue:3382", + "issue:3432", + "issue:4134", + "issue:4213", + "issue:4386", + "issue:4453", + "issue:4480", + "issue:4580", + "issue:4677", + "issue:487", + "issue:4935", + "issue:5012", + "issue:5227", + "issue:5619", + "issue:5749", + "issue:5798", + "issue:6280", + "issue:6371", + "issue:6382", + "issue:6661", + "issue:6964", + "issue:7049", + "issue:7660", + "issue:771", + "issue:8320", + "issue:8494", + "issue:8551", + "issue:8668", + "issue:9187", + "issue:9497", + "issue:9726" + ], + "soft_pairs": [ + "issue:6382|issue:9187", + "issue:2578|issue:6964", + "issue:2578|issue:7660", + "issue:4386|issue:4453", + "issue:10673|issue:11839", + "issue:12433|issue:1919", + "issue:11006|issue:11160", + "issue:12559|issue:3432", + "issue:9497|issue:9726", + "issue:2645|issue:4480", + "issue:4213|issue:5227", + "issue:5798|issue:8494", + "issue:12771|issue:4580", + "issue:6280|issue:8320", + "issue:1407|issue:7049", + "issue:5619|issue:771", + "issue:1214|issue:487", + "issue:1082|issue:3382", + "issue:12157|issue:6371", + "issue:1214|issue:5227", + "issue:337|issue:4677", + "issue:4935|issue:5012", + "issue:8551|issue:8668", + "issue:10266|issue:5749", + "issue:4134|issue:6661" + ], + "prepared_review_unit_hash": "b4a9abc60dd5f68af4aff35dabbb2391f7139114187190b09bd07e791e3a7744", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34448, + "estimated_input_tokens": 8612, + "estimated_eval_tokens": 17480 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These issues are mostly unrelated bug reports across different pipelines, schedulers, training scripts, devices, and model families. The apparent matches are only superficial title similarity (e.g., generic \"out of bounds\", \"MPS\", \"from_single_file\", \"LoRA\"), not the same underlying defect.", + "confidence": 0.96, + "canonical_issue_reason": "No single issue is a good canonical representative because the set is heterogeneous and the proposed overlaps do not describe the same bug.", + "canonical_pr_reason": null, + "best_issue_reason": "None of the issues is meaningfully central to a duplicate cluster; each refers to a distinct concrete failure mode.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6382", + "right": "issue:9187", + "accept": false, + "reason": "Both mention IP Adapter, but one is a training key error and the other is an SDXL image-encoder-folder regression; different code paths and failures." + }, + { + "left": "issue:2578", + "right": "issue:6964", + "accept": false, + "reason": "Editable install problems are unrelated to the ControlNet 4-channel UNet issue." + }, + { + "left": "issue:2578", + "right": "issue:7660", + "accept": false, + "reason": "Editable-mode install failure and trace-example failure are different bugs." + }, + { + "left": "issue:4386", + "right": "issue:4453", + "accept": false, + "reason": "Both concern SDXL LoRA conversion, but one is a general question and the other is about producing safetensors for A1111; not the same defect." + }, + { + "left": "issue:10673", + "right": "issue:11839", + "accept": false, + "reason": "Both are shape/input-size errors, but they affect different models/pipelines (AuraFlow vs FluxKontext) and likely different shape logic." + }, + { + "left": "issue:12433", + "right": "issue:1919", + "accept": false, + "reason": "Different documentation/requirements issues for different examples; not the same missing-dependency or version bug." + }, + { + "left": "issue:11006", + "right": "issue:11160", + "accept": false, + "reason": "Same WAN 2.1 family, but one is broken video output with a quantized transformer and the other is inconsistent inference results; different failures." + }, + { + "left": "issue:12559", + "right": "issue:3432", + "accept": false, + "reason": "Both are runtime environment errors, but torchvision::nms missing and slow_conv2d_cpu half precision are unrelated." + }, + { + "left": "issue:9497", + "right": "issue:9726", + "accept": false, + "reason": "Both involve FLUX dreambooth, but the reported errors and conditions differ (mat2 shape vs multigpu training behavior)." + }, + { + "left": "issue:2645", + "right": "issue:4480", + "accept": false, + "reason": "Both involve Mac/MPS, but one is a CUDA assertion and the other is an MPS kernel crash; different root causes." + }, + { + "left": "issue:4213", + "right": "issue:5227", + "accept": false, + "reason": "From_single_file without accelerate and load_lora_weight with torch.compile are unrelated loader/compiler issues." + }, + { + "left": "issue:5798", + "right": "issue:8494", + "accept": false, + "reason": "Different unexpected-kwarg regressions (`callback_on_step_end` vs `force_hooks`) in different pipelines." + }, + { + "left": "issue:12771", + "right": "issue:4580", + "accept": false, + "reason": "Both mention `use_karras_sigmas`, but one is DPMSolverMultistepScheduler with a specific beta schedule and the other is UniPC schedule; different bugs." + }, + { + "left": "issue:6280", + "right": "issue:8320", + "accept": false, + "reason": "Both involve `from_single_file`, but the errors are different and point to different failure points." + }, + { + "left": "issue:1407", + "right": "issue:7049", + "accept": false, + "reason": "Onnx feature_extractor regression and IP-Adapter unpacking error are unrelated." + }, + { + "left": "issue:5619", + "right": "issue:771", + "accept": false, + "reason": "LCM img2img AutoencodeTiny bug and BF16 Dreambooth failure are unrelated." + }, + { + "left": "issue:1214", + "right": "issue:487", + "accept": false, + "reason": "Half-precision CLIPTextModel and M1 CPU StableDiffusionPipeline are different hardware/precision issues." + }, + { + "left": "issue:1082", + "right": "issue:3382", + "accept": false, + "reason": "Both are training failures, but one is a CUDA matmul execution failure and the other is multi-GPU OOM." + }, + { + "left": "issue:12157", + "right": "issue:6371", + "accept": false, + "reason": "Quantization-config iterable error for Qwen-Image training is unrelated to the controlnet_xs assert error." + }, + { + "left": "issue:1214", + "right": "issue:5227", + "accept": false, + "reason": "Half-precision CLIPTextModel and torch.compile LoRA loading are unrelated." + }, + { + "left": "issue:337", + "right": "issue:4677", + "accept": false, + "reason": "Both mention text-guided inpainting, but one is a broad inpainting problem and the other is a specific documentation script error." + }, + { + "left": "issue:4935", + "right": "issue:5012", + "accept": false, + "reason": "Both are about the SDXL LoRA training script, but one asks about AttnProcsLayers usage and the other about training the text encoder; different issues." + }, + { + "left": "issue:8551", + "right": "issue:8668", + "accept": false, + "reason": "Different pipelines and different bugs: VAE device placement under device_map vs SD3 image alignment to 16." + }, + { + "left": "issue:10266", + "right": "issue:5749", + "accept": false, + "reason": "Both are index-out-of-bounds errors, but the titles point to different code paths and no shared concrete reproducer." + }, + { + "left": "issue:4134", + "right": "issue:6661", + "accept": false, + "reason": "Both are MPS on Mac, but one is a ControlNet tensor-size mismatch and the other is an OOM during training." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 56, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10453", + "issue:10591", + "issue:11006", + "issue:12034", + "issue:12547", + "issue:1552", + "issue:1709", + "issue:1976", + "issue:2091", + "issue:2459", + "issue:2668", + "issue:2904", + "issue:3354", + "issue:3454", + "issue:3582", + "issue:3613", + "issue:3774", + "issue:4137", + "issue:4648", + "issue:4728", + "issue:4733", + "issue:4880", + "issue:5054", + "issue:5259", + "issue:5395", + "issue:5465", + "issue:5524", + "issue:5619", + "issue:5794", + "issue:5860", + "issue:6492", + "issue:6536", + "issue:6570", + "issue:6598", + "issue:6809", + "issue:6815", + "issue:6914", + "issue:746", + "issue:7766", + "issue:8514", + "issue:8833", + "issue:8956", + "issue:9044", + "issue:9112", + "issue:9200", + "issue:945", + "issue:9613" + ], + "soft_pairs": [ + "issue:3582|issue:5860", + "issue:4137|issue:6598", + "issue:5395|issue:6809", + "issue:6570|issue:9112", + "issue:10453|issue:5465", + "issue:12547|issue:8514", + "issue:2091|issue:4728", + "issue:11006|issue:12034", + "issue:10591|issue:3354", + "issue:1552|issue:5619", + "issue:1976|issue:9044", + "issue:3613|issue:3774", + "issue:5259|issue:8833", + "issue:5054|issue:5524", + "issue:1552|issue:2459", + "issue:2668|issue:4880", + "issue:3454|issue:4733", + "issue:746|issue:8956", + "issue:6492|issue:6815", + "issue:746|issue:945", + "issue:4728|issue:6536", + "issue:6914|issue:7766", + "issue:9200|issue:9613", + "issue:1709|issue:2904", + "issue:4648|issue:5794" + ], + "prepared_review_unit_hash": "debc23b19da6633f8e7bcfd4643641e3f6b65b7874fc59ef1f9e69a936aa8db0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34513, + "estimated_input_tokens": 8629, + "estimated_eval_tokens": 17514 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These issues are mostly heterogeneous and only superficially similar by subsystem or symptom. I would not merge any of the proposed soft pairs as duplicates; most share only broad themes like training, ControlNet, LoRA, loading errors, or black images without evidence of the same code path.", + "confidence": 0.82, + "canonical_issue_reason": "Issue 5524 is the strongest representative of the set because it has the highest discussion/references and a concrete, well-scoped failure report. That said, the overall collection is not a true duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 5524 is the best single issue to anchor triage because it appears impactful and well-documented, but it should not be treated as a duplicate target for the rest of the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3582", + "right": "issue:5860", + "accept": false, + "reason": "Both mention ControlNet failures, but one is an inpaint strength bug and the other is a tiny-autoencoder/ControlNet pipeline issue; different concrete failure modes." + }, + { + "left": "issue:4137", + "right": "issue:6598", + "accept": false, + "reason": "Both compare Diffusers to other implementations, but one is about LoRA output differences and the other is img2img parity; not the same bug." + }, + { + "left": "issue:5395", + "right": "issue:6809", + "accept": false, + "reason": "Both involve LoRA/PEFT loading, but the reports point to different adapter workflows and symptoms; too broad to assume one underlying defect." + }, + { + "left": "issue:6570", + "right": "issue:9112", + "accept": false, + "reason": "Both are tensor-shape errors, but they affect different pipelines/models and likely different code paths." + }, + { + "left": "issue:10453", + "right": "issue:5465", + "accept": false, + "reason": "Both are parameter-limitations in pipelines, but one is batch size on Hunyuan Video and the other is inpaint_strength in DiffEdit; unrelated." + }, + { + "left": "issue:12547", + "right": "issue:8514", + "accept": false, + "reason": "These are unrelated training errors in different workflows: a required argument problem versus an EMAModel parallel fine-tuning failure." + }, + { + "left": "issue:2091", + "right": "issue:4728", + "accept": false, + "reason": "Both involve checkpoint resume during training, but one is multi-GPU resume logic and the other is an OOM after resume; not clearly the same bug." + }, + { + "left": "issue:11006", + "right": "issue:12034", + "accept": false, + "reason": "Same model family, but one is broken output with quantized transformer and the other is quality mismatch versus an official space; different underlying issues." + }, + { + "left": "issue:10591", + "right": "issue:3354", + "accept": false, + "reason": "Both mention LoRA training scripts, but one is an unspecified SD3 script problem and the other is an fp16 casting bug; insufficient evidence they are the same." + }, + { + "left": "issue:1552", + "right": "issue:5619", + "accept": false, + "reason": "Different pipelines and failure modes: attention slicing on SD2 versus AutoencodeTiny encoding in LCM img2img." + }, + { + "left": "issue:1976", + "right": "issue:9044", + "accept": false, + "reason": "Both are model-loading file errors, but they reference different missing files and different models; not a shared code-path bug." + }, + { + "left": "issue:3613", + "right": "issue:3774", + "accept": false, + "reason": "Both are training-memory complaints, but one is DreamBooth OOM under torch 2.0 and the other is zero3 not reducing memory in text-to-image training." + }, + { + "left": "issue:5259", + "right": "issue:8833", + "accept": false, + "reason": "Both are missing-model-metadata errors, but one lacks model_index.json and the other lacks config.json; different loading scenarios." + }, + { + "left": "issue:5054", + "right": "issue:5524", + "accept": false, + "reason": "Both are AttributeError-style failures, but they affect different models and different missing attributes; no shared concrete bug is evident." + }, + { + "left": "issue:1552", + "right": "issue:2459", + "accept": false, + "reason": "Both involve SD2/LoRA-era functionality, but attention slicing and xformers memory-efficient attention are different features with different failures." + }, + { + "left": "issue:2668", + "right": "issue:4880", + "accept": false, + "reason": "Both concern ControlNet input handling, but one misroutes the ControlNet image in LPW mode while the other rejects the single-controlnet image argument; distinct bugs." + }, + { + "left": "issue:3454", + "right": "issue:4733", + "accept": false, + "reason": "Different DreamBooth/LoRA training issues with different resume/error behavior; not the same bug." + }, + { + "left": "issue:746", + "right": "issue:8956", + "accept": false, + "reason": "Both are loading failures, but one is an ONNX revision issue for img2img and the other is an OVStableDiffusionXL model-loading failure." + }, + { + "left": "issue:6492", + "right": "issue:6815", + "accept": false, + "reason": "Both mention black images, but only one explicitly ties it to invalid values during cast; symptom overlap alone is not enough to merge." + }, + { + "left": "issue:746", + "right": "issue:945", + "accept": false, + "reason": "Both relate to ONNX, but one is loading a specific pipeline by revision and the other is converting a custom checkpoint to ONNX; different problems." + }, + { + "left": "issue:4728", + "right": "issue:6536", + "accept": false, + "reason": "Both are OOM reports during training, but they involve different scripts/models and likely unrelated causes." + }, + { + "left": "issue:6914", + "right": "issue:7766", + "accept": false, + "reason": "One is an AttributeError triggered by CPU offload with IP-Adapter-FaceID; the other is a usage/help question around the same feature, not the same bug." + }, + { + "left": "issue:9200", + "right": "issue:9613", + "accept": false, + "reason": "Both mention version-specific diffusion/model errors, but the failures are different: dtype mismatch versus Timesteps missing scale." + }, + { + "left": "issue:1709", + "right": "issue:2904", + "accept": false, + "reason": "Completely different failures: ONNX tensor conversion versus AudioLDM scheduler being None." + }, + { + "left": "issue:4648", + "right": "issue:5794", + "accept": false, + "reason": "Both are missing-file loading errors, but they target different files and models; not the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 57, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10150", + "issue:10180", + "issue:10421", + "issue:10712", + "issue:1100", + "issue:11148", + "issue:11865", + "issue:12535", + "issue:1310", + "issue:2132", + "issue:2459", + "issue:2578", + "issue:2947", + "issue:3032", + "issue:3565", + "issue:3582", + "issue:3661", + "issue:3802", + "issue:4086", + "issue:4103", + "issue:4255", + "issue:4368", + "issue:4566", + "issue:4701", + "issue:4923", + "issue:5125", + "issue:5474", + "issue:5524", + "issue:5884", + "issue:5897", + "issue:6028", + "issue:6218", + "issue:6610", + "issue:696", + "issue:7053", + "issue:7057", + "issue:7064", + "issue:720", + "issue:7293", + "issue:7357", + "issue:7432", + "issue:746", + "issue:7799", + "issue:7854", + "issue:9051", + "issue:9643", + "issue:9673" + ], + "soft_pairs": [ + "issue:11148|issue:12535", + "issue:5125|issue:5897", + "issue:4923|issue:7293", + "issue:3565|issue:4368", + "issue:4255|issue:7432", + "issue:5884|issue:7064", + "issue:3661|issue:4086", + "issue:10150|issue:7357", + "issue:10712|issue:7799", + "issue:10421|issue:9673", + "issue:1310|issue:5474", + "issue:720|issue:7854", + "issue:2578|issue:6218", + "issue:9051|issue:9643", + "issue:11865|issue:6610", + "issue:2947|issue:5524", + "issue:6028|issue:696", + "issue:2459|issue:3582", + "issue:4701|issue:5897", + "issue:10180|issue:746", + "issue:1100|issue:3032", + "issue:2132|issue:3032", + "issue:4103|issue:7053", + "issue:3802|issue:7057", + "issue:4368|issue:4566" + ], + "prepared_review_unit_hash": "b3e8f07e60945c8594931b2b099460774837aeca569713a344d2621468197307", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34016, + "estimated_input_tokens": 8504, + "estimated_eval_tokens": 17264 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose set of unrelated Diffusers issues. Several mention SDXL, Flux, LoRA, or generic CUDA/runtime errors, but the paired items do not describe the same underlying bug or mergeable change.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 10150 is the broadest SDXL loading/inference performance report, so it is the closest anchor among these mostly unrelated reports; however, it is not a true duplicate hub for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10150 is the most general and central-sounding issue in the set, but only as a loose thematic anchor, not as a duplicate canonical.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11148", + "right": "issue:12535", + "accept": false, + "reason": "PEFT adapter-state bug vs a Wan2.2 Lightning LoRA loading failure; different models and failure modes." + }, + { + "left": "issue:5125", + "right": "issue:5897", + "accept": false, + "reason": "One is an xFormers attention kernel error, the other a device-placement mismatch in LoRA training; not the same bug." + }, + { + "left": "issue:4923", + "right": "issue:7293", + "accept": false, + "reason": "Both are AudioLDM2-related feature requests, but they ask for different capabilities and are not the same change." + }, + { + "left": "issue:3565", + "right": "issue:4368", + "accept": false, + "reason": "Both report OOM during training, but on different scripts/models and with different likely causes." + }, + { + "left": "issue:4255", + "right": "issue:7432", + "accept": false, + "reason": "Both compare Diffusers output quality to WebUI, but they are different complaints without a shared concrete code-path." + }, + { + "left": "issue:5884", + "right": "issue:7064", + "accept": false, + "reason": "General IP-Adapter support expansion vs a specific SAG/panorama support fix; different feature scopes." + }, + { + "left": "issue:3661", + "right": "issue:4086", + "accept": false, + "reason": "SD 2.x checkpoint conversion failure vs SDXL ControlNet training not working; different pipelines and bugs." + }, + { + "left": "issue:10150", + "right": "issue:7357", + "accept": false, + "reason": "Both mention SDXL slowness, but one is broad load/inference performance and the other is inference after torch.compile/fuse_loras; too different to merge." + }, + { + "left": "issue:10712", + "right": "issue:7799", + "accept": false, + "reason": "Prompt_embeds RuntimeError in SD3 vs a matmul size mismatch with InstructPix2Pix plus IP-Adapter; different models and error paths." + }, + { + "left": "issue:10421", + "right": "issue:9673", + "accept": false, + "reason": "CPU memory leak when moving pipelines across GPUs vs high CPU usage while loading multiple LoRAs; related theme, different bug." + }, + { + "left": "issue:1310", + "right": "issue:5474", + "accept": false, + "reason": "Old K-Diffusion pipeline discussion vs a new Stable Diffusion Reference Only pipeline request; not the same change." + }, + { + "left": "issue:720", + "right": "issue:7854", + "accept": false, + "reason": "Both are dtype mismatch errors, but they occur in different contexts and are not clearly the same defect." + }, + { + "left": "issue:2578", + "right": "issue:6218", + "accept": false, + "reason": "Editable install failure vs batched seed behavior in ControlNet/Img2Img; unrelated bugs." + }, + { + "left": "issue:9051", + "right": "issue:9643", + "accept": false, + "reason": "Both are Flux capability gaps, but batch inference and multiple ControlNets are distinct features." + }, + { + "left": "issue:11865", + "right": "issue:6610", + "accept": false, + "reason": "Both involve from_single_file, but for different models and different symptoms; not the same concrete bug." + }, + { + "left": "issue:2947", + "right": "issue:5524", + "accept": false, + "reason": "Different attribute errors on different model classes during LoRA handling; not a single underlying issue." + }, + { + "left": "issue:6028", + "right": "issue:696", + "accept": false, + "reason": "Both are OOM reports, but one is Kandinsky 3.0 inference and the other is DreamBooth training; too broad to duplicate." + }, + { + "left": "issue:2459", + "right": "issue:3582", + "accept": false, + "reason": "xFormers training script issue vs ControlNet inpaint strength behavior; no shared code-path." + }, + { + "left": "issue:4701", + "right": "issue:5897", + "accept": false, + "reason": "AutoencoderKL float32 CUDA error vs LoRA training device mismatch; different components and failures." + }, + { + "left": "issue:10180", + "right": "issue:746", + "accept": false, + "reason": "Flux Control LoRA multiple-LoRA loading vs an ONNX revision loading issue in Img2Img; unrelated." + }, + { + "left": "issue:1100", + "right": "issue:3032", + "accept": false, + "reason": "CLIPTextTransformer device attribute error vs missing from_pretrained on a pipeline class; different objects and fixes." + }, + { + "left": "issue:2132", + "right": "issue:3032", + "accept": false, + "reason": "Accelerator trackers error in a DreamBooth example vs a pipeline constructor/classmethod issue; not the same bug." + }, + { + "left": "issue:4103", + "right": "issue:7053", + "accept": false, + "reason": "AutoencoderKL scaling_factor usage vs UNet3D class conditioning; both are model-behavior bugs but on different modules." + }, + { + "left": "issue:3802", + "right": "issue:7057", + "accept": false, + "reason": "Checkpoint limit argument in training scripts vs a checkpoint/model-loading complaint; no clear overlap." + }, + { + "left": "issue:4368", + "right": "issue:4566", + "accept": false, + "reason": "SDXL LoRA training OOM vs resume-from-checkpoint failure; different training problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 58, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10180", + "issue:10518", + "issue:10612", + "issue:1125", + "issue:12141", + "issue:1263", + "issue:1363", + "issue:1896", + "issue:2363", + "issue:2851", + "issue:2941", + "issue:2991", + "issue:3221", + "issue:3223", + "issue:3700", + "issue:4213", + "issue:4307", + "issue:4728", + "issue:499", + "issue:539", + "issue:5465", + "issue:5798", + "issue:5857", + "issue:5897", + "issue:5917", + "issue:6028", + "issue:6094", + "issue:6176", + "issue:6218", + "issue:6689", + "issue:6956", + "issue:7146", + "issue:7147", + "issue:7263", + "issue:7418", + "issue:7483", + "issue:7589", + "issue:7591", + "issue:7666", + "issue:7728", + "issue:7931", + "issue:8228", + "issue:8359", + "issue:8956", + "issue:9051", + "issue:9527", + "issue:9953" + ], + "soft_pairs": [ + "issue:4728|issue:7146", + "issue:10518|issue:7418", + "issue:1363|issue:6176", + "issue:2941|issue:3223", + "issue:1263|issue:7147", + "issue:10180|issue:8956", + "issue:10612|issue:9953", + "issue:5897|issue:7728", + "issue:12141|issue:7666", + "issue:7263|issue:7931", + "issue:4307|issue:7591", + "issue:6028|issue:6956", + "issue:1125|issue:1896", + "issue:499|issue:7589", + "issue:4213|issue:6218", + "issue:539|issue:5798", + "issue:2363|issue:6689", + "issue:8228|issue:8359", + "issue:2851|issue:3700", + "issue:3221|issue:7483", + "issue:5917|issue:6094", + "issue:2991|issue:9527", + "issue:4213|issue:5857", + "issue:5465|issue:9051" + ], + "prepared_review_unit_hash": "639f93674e6eb2ad379f49464ebb50a5c2ee6e395ac31e140aa5cbc5d44b9319", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33774, + "estimated_input_tokens": 8444, + "estimated_eval_tokens": 17144 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No duplicate cluster here: the items are a heterogeneous mix of unrelated issue reports across LoRA, pipelines, conversion scripts, dtype/device errors, and OOMs. None of the soft pairs look like the same underlying bug or change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4728", + "right": "issue:7146", + "accept": false, + "reason": "Both mention OOM during training, but one is resume-from-checkpoint on a UNet fine-tune and the other is SDXL training; different code paths and failure contexts." + }, + { + "left": "issue:10518", + "right": "issue:7418", + "accept": false, + "reason": "One is a bug in an SD3 LoRA training example, the other is a community upscale pipeline line-level bug; unrelated features and failures." + }, + { + "left": "issue:1363", + "right": "issue:6176", + "accept": false, + "reason": "ONNX long-prompt scheduler error is unrelated to loading LoRA weights after DreamBooth training." + }, + { + "left": "issue:2941", + "right": "issue:3223", + "accept": false, + "reason": "EulerAncestral scheduler output quality issue is not the same as GPU RAM not being cleared after moving a pipeline to CUDA." + }, + { + "left": "issue:1263", + "right": "issue:7147", + "accept": false, + "reason": "Missing StableDiffusionSafetyChecker import and missing StableCascadeDecoderPipeline import are different API/export breakages." + }, + { + "left": "issue:10180", + "right": "issue:8956", + "accept": false, + "reason": "Flux Control LoRA multi-LoRA loading and OpenVINO SDXL model loading are different pipelines and different bugs." + }, + { + "left": "issue:10612", + "right": "issue:9953", + "accept": false, + "reason": "NF4-quantized Flux Fill LoRA loading error is not the same as moving a quantized pipeline to CUDA; distinct triggers and paths." + }, + { + "left": "issue:5897", + "right": "issue:7728", + "accept": false, + "reason": "Device mismatch while training a LoRA and an Accelerate error in an advanced DreamBooth LoRA script are different training setups." + }, + { + "left": "issue:12141", + "right": "issue:7666", + "accept": false, + "reason": "VAE dtype incompatibility in WanVACEPipeline is unrelated to from_single_file failing in a custom SDXL pipeline." + }, + { + "left": "issue:7263", + "right": "issue:7931", + "accept": false, + "reason": "IP-Adapter + attention slicing behavior and IP-Adapter embeds with ControlNet inpaint are separate interaction bugs." + }, + { + "left": "issue:4307", + "right": "issue:7591", + "accept": false, + "reason": "from_pretrained(local_files_only=True) and from_single_file(HeaderTooLarge) are different loading APIs with different failures." + }, + { + "left": "issue:6028", + "right": "issue:6956", + "accept": false, + "reason": "Two OOM reports, but on different models and deployment contexts: Kandinsky 3.0 versus Stable Video Diffusion on SageMaker." + }, + { + "left": "issue:1125", + "right": "issue:1896", + "accept": false, + "reason": "Stable Diffusion inpaint runtime error and CLIP-guided SD dict-size TypeError are unrelated errors." + }, + { + "left": "issue:499", + "right": "issue:7589", + "accept": false, + "reason": "Unconditional training script failure is not the same as GLIGEN layout-to-image not working." + }, + { + "left": "issue:4213", + "right": "issue:6218", + "accept": false, + "reason": "from_single_file requiring accelerate and batched seeds in ControlNet/Img2Img are unrelated feature bugs." + }, + { + "left": "issue:539", + "right": "issue:5798", + "accept": false, + "reason": "Unexpected allow_patterns argument in snapshot_download is unrelated to callback_on_step_end being unsupported in ControlNet." + }, + { + "left": "issue:2363", + "right": "issue:6689", + "accept": false, + "reason": "Both are conversion-related, but one is LoRA conversion and the other is SSD-1B checkpoint conversion; not the same converter bug." + }, + { + "left": "issue:8228", + "right": "issue:8359", + "accept": false, + "reason": "Both concern from_single_file, but one fails to load CLIPTextModel in 0.28.0 and the other affects custom checkpoints; different failure modes." + }, + { + "left": "issue:2851", + "right": "issue:3700", + "accept": false, + "reason": "TPU push_to_hub training issue and min_snr argument handling in a LoRA script are unrelated training concerns." + }, + { + "left": "issue:3221", + "right": "issue:7483", + "accept": false, + "reason": "load_attn_procs in v0.16.0 and LoRA-to-Diffusers conversion for SDXL are different LoRA workflows and bugs." + }, + { + "left": "issue:5917", + "right": "issue:6094", + "accept": false, + "reason": "Checkpoint conversion regression and TextToVideoZeroPipeline regression after upgrade are separate version-specific failures." + }, + { + "left": "issue:2991", + "right": "issue:9527", + "accept": false, + "reason": "ControlNet mixed-precision example failure and controlnet/mainpipe dtype mismatch are different precision issues in different pipelines." + }, + { + "left": "issue:4213", + "right": "issue:5857", + "accept": false, + "reason": "from_single_file/accelerate loading behavior is unrelated to LCM LoRA quality on AnimateDiff SDXL." + }, + { + "left": "issue:5465", + "right": "issue:9051", + "accept": false, + "reason": "DiffEdit inpaint_strength support and FluxPipeline batch inference are unrelated feature limitations." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 59, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10266", + "issue:10290", + "issue:10453", + "issue:10512", + "issue:10575", + "issue:1398", + "issue:1544", + "issue:1611", + "issue:170", + "issue:1717", + "issue:1925", + "issue:1931", + "issue:2163", + "issue:3015", + "issue:3124", + "issue:3537", + "issue:3585", + "issue:3631", + "issue:3802", + "issue:4368", + "issue:5128", + "issue:5798", + "issue:5846", + "issue:6092", + "issue:6159", + "issue:6218", + "issue:6230", + "issue:6382", + "issue:6548", + "issue:6602", + "issue:6741", + "issue:6858", + "issue:7057", + "issue:7229", + "issue:7263", + "issue:7483", + "issue:776", + "issue:7773", + "issue:7985", + "issue:8686", + "issue:9115", + "issue:9393", + "issue:9514", + "issue:9667", + "issue:9907", + "issue:993" + ], + "soft_pairs": [ + "issue:6382|issue:6602", + "issue:5128|issue:9667", + "issue:10512|issue:9514", + "issue:1931|issue:993", + "issue:776|issue:7773", + "issue:7263|issue:9115", + "issue:170|issue:5798", + "issue:6218|issue:8686", + "issue:10026|issue:9907", + "issue:1717|issue:7483", + "issue:3015|issue:3537", + "issue:4368|issue:6230", + "issue:6858|issue:7229", + "issue:10026|issue:3802", + "issue:1611|issue:3585", + "issue:6092|issue:9393", + "issue:2163|issue:5846", + "issue:1398|issue:1925", + "issue:1544|issue:6741", + "issue:10453|issue:6159", + "issue:10290|issue:7985", + "issue:10266|issue:10575", + "issue:3124|issue:7057", + "issue:3631|issue:6548" + ], + "prepared_review_unit_hash": "95fb8ea8eb408b2740c27ef2d37db8e1c364da8850dceb97333cc8b8f6493390", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33739, + "estimated_input_tokens": 8435, + "estimated_eval_tokens": 17126 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous and not a single duplicate set. The only strong duplicate-looking pairs are Stable Diffusion fp16 dtype mismatch (1931/993) and ControlNet conversion to original/CompVis format (3015/3537).", + "confidence": 0.84, + "canonical_issue_reason": "No single issue cleanly represents the whole mixed cluster; issue 1931 is the best duplicate anchor because it most clearly matches another item (993) on the same Stable Diffusion fp16 dtype-mismatch bug.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1931 is the strongest issue candidate because it is a concrete, reproducible bug report and has the clearest duplicate counterpart in 993.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6382", + "right": "issue:6602", + "accept": false, + "reason": "Both involve loading/saving flux or LoRA-adjacent models, but the concrete failures differ: IP-adapter key error after training vs pretrained load error after fuse/save." + }, + { + "left": "issue:5128", + "right": "issue:9667", + "accept": false, + "reason": "Both are loading problems, but one is XLPipeline.from_single_file with a local safetensors file and the other is Flux fp8 loading with a local transformer file." + }, + { + "left": "issue:10512", + "right": "issue:9514", + "accept": false, + "reason": "Both mention Flux LoRA loading after quantization, but they target different quantization paths and likely different failure points." + }, + { + "left": "issue:1931", + "right": "issue:993", + "accept": true, + "reason": "Both describe the same Stable Diffusion fp16 dtype mismatch/half-vs-float failure mode." + }, + { + "left": "issue:776", + "right": "issue:7773", + "accept": false, + "reason": "Both are batch-size bugs, but they affect different pipelines and do not describe the same concrete defect." + }, + { + "left": "issue:7263", + "right": "issue:9115", + "accept": false, + "reason": "Different features and failure modes: IP Adapter with attention slicing versus AnimateDiff-Lightning with an SDXL motion adapter." + }, + { + "left": "issue:170", + "right": "issue:5798", + "accept": false, + "reason": "Both are unexpected-keyword-argument errors, but they are different kwargs in different pipeline code paths." + }, + { + "left": "issue:6218", + "right": "issue:8686", + "accept": false, + "reason": "Both involve ControlNet-related pipeline behavior, but one is batched seeds and the other is an SDXL CFG cutoff callback issue." + }, + { + "left": "issue:10026", + "right": "issue:9907", + "accept": false, + "reason": "Both are Flux ControlNet training issues, but one is DeepSpeed memory reduction and the other is a sequence-length warning." + }, + { + "left": "issue:1717", + "right": "issue:7483", + "accept": false, + "reason": "Offline cache loading and LoRA-to-Diffusers conversion are unrelated bugs." + }, + { + "left": "issue:3015", + "right": "issue:3537", + "accept": true, + "reason": "Both ask for converting diffusers ControlNet artifacts into the original/CompVis ControlNet format." + }, + { + "left": "issue:4368", + "right": "issue:6230", + "accept": false, + "reason": "Both are OOM reports, but they come from different SDXL training scripts and different training setups." + }, + { + "left": "issue:6858", + "right": "issue:7229", + "accept": false, + "reason": "A ControlNet data-loading AttributeError and a checkpoint-saving issue are different problems." + }, + { + "left": "issue:1611", + "right": "issue:3585", + "accept": false, + "reason": "A broken pipeline load in v0.6.0 and a failed LoRA-synthesized model use are not the same underlying bug." + }, + { + "left": "issue:6092", + "right": "issue:9393", + "accept": false, + "reason": "Different symptoms and code paths: a LoRA example not training versus Flux1 Dreambooth LoRA save failure under DeepSpeed." + }, + { + "left": "issue:2163", + "right": "issue:5846", + "accept": false, + "reason": "These are different training-example failures: UNet dtype mismatch versus resume-from-checkpoint error." + }, + { + "left": "issue:1398", + "right": "issue:1925", + "accept": false, + "reason": "Apple Silicon/MPS support and Stable Diffusion 2 inpainting half-precision behavior are separate issues." + }, + { + "left": "issue:1544", + "right": "issue:6741", + "accept": false, + "reason": "A missing scheduler method in stable-diffusion-2 and a missing CLI namespace attribute in Diffusion DPO are unrelated." + }, + { + "left": "issue:10453", + "right": "issue:6159", + "accept": false, + "reason": "Different unsupported behaviors: Hunyuan Video batch-size limitation versus SDXL ControlNet denoising_end support." + }, + { + "left": "issue:10290", + "right": "issue:7985", + "accept": false, + "reason": "Both mention torch.compile, but they affect different components (Flux ControlNet transformer vs IPAdapter) and are not the same bug." + }, + { + "left": "issue:10266", + "right": "issue:10575", + "accept": false, + "reason": "Both are index-out-of-bounds scheduler errors, but they involve different schedulers and likely different indexing bugs." + }, + { + "left": "issue:3124", + "right": "issue:7057", + "accept": false, + "reason": "A generic model-conversion failure and a checkpoint-specific failure are not the same concrete issue." + }, + { + "left": "issue:3631", + "right": "issue:6548", + "accept": false, + "reason": "Both touch prepare_latents/inpainting-style code, but one is an exception when passing latents and the other is RGBA image input being misclassified as latents." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative about the cluster being mostly heterogeneous. The two accepted soft-edge pairs are well supported by the issue titles and descriptions: 1931/993 clearly share the fp16 dtype-mismatch bug, and 3015/3537 both request ControlNet conversion from diffusers to original/CompVis format. The remaining rejections are appropriately cautious and do not overstate similarity." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 60, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10470", + "issue:10612", + "issue:10743", + "issue:10989", + "issue:11127", + "issue:1214", + "issue:1925", + "issue:1946", + "issue:2044", + "issue:2288", + "issue:2363", + "issue:2459", + "issue:2578", + "issue:2806", + "issue:2856", + "issue:2904", + "issue:3224", + "issue:3420", + "issue:3651", + "issue:3803", + "issue:4101", + "issue:4134", + "issue:4405", + "issue:4419", + "issue:4880", + "issue:5226", + "issue:5621", + "issue:5963", + "issue:5992", + "issue:6069", + "issue:6093", + "issue:6112", + "issue:7056", + "issue:7082", + "issue:7146", + "issue:7589", + "issue:7891", + "issue:817", + "issue:8613", + "issue:8686", + "issue:8826", + "issue:9055", + "issue:9089", + "issue:9092", + "issue:9450", + "issue:9514", + "issue:9803" + ], + "soft_pairs": [ + "issue:7056|issue:7146", + "issue:2856|issue:4101", + "issue:3651|issue:3803", + "issue:1214|issue:2578", + "issue:7082|issue:9055", + "issue:1946|issue:8613", + "issue:10026|issue:10743", + "issue:5226|issue:8686", + "issue:2363|issue:2856", + "issue:2578|issue:7589", + "issue:10470|issue:11127", + "issue:10612|issue:9803", + "issue:2806|issue:2904", + "issue:4134|issue:5621", + "issue:10989|issue:9514", + "issue:2288|issue:4405", + "issue:3224|issue:6093", + "issue:9089|issue:9092", + "issue:7891|issue:9450", + "issue:5963|issue:6069", + "issue:4880|issue:8826", + "issue:1925|issue:817", + "issue:2459|issue:3420", + "issue:4419|issue:6112", + "issue:2044|issue:5992" + ], + "prepared_review_unit_hash": "4b07dd0fb6215e407bf8f71d88dabdc0b626f6f786255ca74073bc0b735b43ae", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34294, + "estimated_input_tokens": 8574, + "estimated_eval_tokens": 17404 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a loose Flux/diffusers issue cluster spanning training, loading, quantization, and precision bugs. Most pairs are only superficially similar; only a couple look like true duplicates around FLUX ZeRO-3 training and FLUX multi-GPU device-mismatch.", + "confidence": 0.66, + "canonical_issue_reason": "Issue 9803 is the broadest and most representative Flux LoRA-loading report in this set, so it\u2019s the best cluster anchor for the Flux-loading subgroup.", + "canonical_pr_reason": null, + "best_issue_reason": "9803 is the most general, user-facing Flux loading failure here and best captures the recurring Flux LoRA-loading theme among the issues.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7056", + "right": "issue:7146", + "accept": false, + "reason": "Both are SDXL training errors, but one is a train_text_encoder failure and the other is CUDA OOM; different bugs." + }, + { + "left": "issue:2856", + "right": "issue:4101", + "accept": false, + "reason": "Both are conversion failures, but one is SD model conversion and the other is ControlNet conversion; not the same code path." + }, + { + "left": "issue:3651", + "right": "issue:3803", + "accept": false, + "reason": "Both mention multi-GPU training, but Dreambooth vs LoRA and different failure modes make them distinct." + }, + { + "left": "issue:1214", + "right": "issue:2578", + "accept": false, + "reason": "Half-precision CLIPTextModel failure is unrelated to editable-install issues." + }, + { + "left": "issue:7082", + "right": "issue:9055", + "accept": false, + "reason": "Both are import errors, but for different symbols and different modules; not a shared defect." + }, + { + "left": "issue:1946", + "right": "issue:8613", + "accept": false, + "reason": "xformers CUDA invalid-argument and caption-column OOM are unrelated." + }, + { + "left": "issue:10026", + "right": "issue:10743", + "accept": true, + "reason": "Both are FLUX training / DeepSpeed ZeRO-3 issues about training memory/support; same underlying missing ZeRO-3 behavior." + }, + { + "left": "issue:5226", + "right": "issue:8686", + "accept": false, + "reason": "Different SDXL pipeline extension failures; no shared concrete bug path." + }, + { + "left": "issue:2363", + "right": "issue:2856", + "accept": false, + "reason": "Both are conversion-related, but LoRA conversion and full SD model conversion are distinct." + }, + { + "left": "issue:2578", + "right": "issue:7589", + "accept": false, + "reason": "Editable install and GLIGEN runtime problems are unrelated." + }, + { + "left": "issue:10470", + "right": "issue:11127", + "accept": false, + "reason": "Both are Flux inference failures, but torchao inference and single-file CivitAI loading are different problems." + }, + { + "left": "issue:10612", + "right": "issue:9803", + "accept": false, + "reason": "Both involve Flux LoRA loading, but one is NF4-quantized Flux Fill and the other is a general loading failure; too broad to treat as the same bug." + }, + { + "left": "issue:2806", + "right": "issue:2904", + "accept": false, + "reason": "Pipeline printing/customization and AudioLDM scheduler initialization are unrelated." + }, + { + "left": "issue:4134", + "right": "issue:5621", + "accept": false, + "reason": "Both are ControlNet issues, but MPS tensor mismatch and missing encoder_hid_proj support are different defects." + }, + { + "left": "issue:10989", + "right": "issue:9514", + "accept": false, + "reason": "Both are Flux LoRA load problems, but quantized-transformers loading vs fp8 quantization are different failure paths." + }, + { + "left": "issue:2288", + "right": "issue:4405", + "accept": false, + "reason": "They are both example-script requests, not the same feature or bug." + }, + { + "left": "issue:3224", + "right": "issue:6093", + "accept": false, + "reason": "Dreambooth LR scaling duplication and push_to_hub repo creation are unrelated script issues." + }, + { + "left": "issue:9089", + "right": "issue:9092", + "accept": false, + "reason": "Both mention FluxPipeline, but one is missing the class and the other is missing model_index.json; different loading problems." + }, + { + "left": "issue:7891", + "right": "issue:9450", + "accept": true, + "reason": "Both report the same FluxPipeline multi-GPU device-mismatch symptom ('Expected all tensors to be on the same device')." + }, + { + "left": "issue:5963", + "right": "issue:6069", + "accept": false, + "reason": "Kandinsky embeds-vs-prompts failure is unrelated to DPM++ add_noise at t=0." + }, + { + "left": "issue:4880", + "right": "issue:8826", + "accept": false, + "reason": "ControlNet image-type validation and empty torch.cat are different runtime errors." + }, + { + "left": "issue:1925", + "right": "issue:817", + "accept": false, + "reason": "Both are precision-related, but different models and contexts; not the same underlying bug." + }, + { + "left": "issue:2459", + "right": "issue:3420", + "accept": false, + "reason": "xformers training-script bug and ControlNet inpaint pipeline issue are unrelated." + }, + { + "left": "issue:4419", + "right": "issue:6112", + "accept": false, + "reason": "Offset-noise inference mismatch and sdxl-turbo noisy output are not the same defect." + }, + { + "left": "issue:2044", + "right": "issue:5992", + "accept": false, + "reason": "DistributedDataParallel dtype attribute error and llm_guided_diffusion bool introspection error are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft edges. The two accepted pairs (10026/10743 and 7891/9450) are plausibly same-bug clusters, while the rest are appropriately treated as distinct or only superficially similar. The Flux anchor choice around 9803 is also reasonable given the set." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 61, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10226", + "issue:10472", + "issue:10591", + "issue:10612", + "issue:11014", + "issue:11046", + "issue:11088", + "issue:11374", + "issue:11581", + "issue:12085", + "issue:12529", + "issue:12666", + "issue:13258", + "issue:2518", + "issue:2669", + "issue:2891", + "issue:3224", + "issue:3325", + "issue:3645", + "issue:4061", + "issue:4368", + "issue:4756", + "issue:4868", + "issue:4932", + "issue:5059", + "issue:5224", + "issue:5226", + "issue:5466", + "issue:5524", + "issue:5577", + "issue:5894", + "issue:5992", + "issue:6082", + "issue:6158", + "issue:6427", + "issue:6758", + "issue:7293", + "issue:7690", + "issue:771", + "issue:7891", + "issue:8465", + "issue:8614", + "issue:8708", + "issue:8726", + "issue:8956", + "issue:9505", + "issue:9667" + ], + "soft_pairs": [ + "issue:2669|issue:5992", + "issue:10472|issue:5224", + "issue:11374|issue:6158", + "issue:12666|issue:13258", + "issue:4061|issue:5466", + "issue:4932|issue:771", + "issue:5226|issue:6427", + "issue:7690|issue:8956", + "issue:8708|issue:8726", + "issue:10226|issue:12529", + "issue:11046|issue:11581", + "issue:5577|issue:9505", + "issue:2891|issue:6758", + "issue:8465|issue:8614", + "issue:6158|issue:7293", + "issue:3325|issue:5894", + "issue:6082|issue:7891", + "issue:4868|issue:5524", + "issue:11014|issue:4368", + "issue:10591|issue:3224", + "issue:2518|issue:4756", + "issue:10612|issue:9667", + "issue:3645|issue:5059", + "issue:11088|issue:12085" + ], + "prepared_review_unit_hash": "1dc09559dedce8617ddf53f97dd64e761b30880a1adf8dae601147b526eb08db", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33554, + "estimated_input_tokens": 8389, + "estimated_eval_tokens": 17034 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly unrelated issue reports that only share broad model-family or error-symptom keywords. None of the soft-edge pairs look like the same underlying bug or change, so all should be rejected.", + "confidence": 0.92, + "canonical_issue_reason": "No single canonical issue stands out: the items cover different models, pipelines, and failure modes, so they are not true duplicates of one bug.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11581 is the most concrete and actionable report, with a specific FLUX/IP-Adapter traceback and clear reproduction context.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2669", + "right": "issue:5992", + "accept": false, + "reason": "Both are AttributeErrors, but they affect different code paths and root causes; not the same bug." + }, + { + "left": "issue:10472", + "right": "issue:5224", + "accept": false, + "reason": "Different failures: unexpected lora_bias kwarg vs a Flax SD2.1 load error." + }, + { + "left": "issue:11374", + "right": "issue:6158", + "accept": false, + "reason": "Both are feature requests, but for unrelated pipelines/models and different integrations." + }, + { + "left": "issue:12666", + "right": "issue:13258", + "accept": false, + "reason": "Different video models and missing pipeline support; same general theme but not one concrete issue." + }, + { + "left": "issue:4061", + "right": "issue:5466", + "accept": false, + "reason": "Both involve LoRA loading, but on different SDXL pipelines with different shape-mismatch contexts." + }, + { + "left": "issue:4932", + "right": "issue:771", + "accept": false, + "reason": "Unrelated Dreambooth issues: missing output file vs BF16 support." + }, + { + "left": "issue:5226", + "right": "issue:6427", + "accept": false, + "reason": "Adapter/LoRA loading bug versus model-to-ckpt conversion bug; different code paths." + }, + { + "left": "issue:7690", + "right": "issue:8956", + "accept": false, + "reason": "Different loading failures for different pipelines/models, not the same underlying defect." + }, + { + "left": "issue:8708", + "right": "issue:8726", + "accept": false, + "reason": "Related to SD3 training, but the missing shift_factor and text encoder errors are distinct problems." + }, + { + "left": "issue:10226", + "right": "issue:12529", + "accept": false, + "reason": "Different model families and different tensor mismatch failures." + }, + { + "left": "issue:11046", + "right": "issue:11581", + "accept": false, + "reason": "Both mention FLUX and IP-Adapter, but one is an inference integration scenario and the other is a specific constructor kwarg error." + }, + { + "left": "issue:5577", + "right": "issue:9505", + "accept": false, + "reason": "Both are KeyError-like load failures, but they affect different model loaders and missing weights." + }, + { + "left": "issue:2891", + "right": "issue:6758", + "accept": false, + "reason": "One is a docs/support mismatch, the other is an unsupported parameter on a different pipeline." + }, + { + "left": "issue:8465", + "right": "issue:8614", + "accept": false, + "reason": "Both mention missing config.json, but they involve different loaders and different model types." + }, + { + "left": "issue:6158", + "right": "issue:7293", + "accept": false, + "reason": "Different feature requests for different pipelines/models." + }, + { + "left": "issue:3325", + "right": "issue:5894", + "accept": false, + "reason": "Both are training runtime errors, but the reported failures and likely causes are unrelated." + }, + { + "left": "issue:6082", + "right": "issue:7891", + "accept": false, + "reason": "Different runtime errors: dtype mismatch versus device mismatch." + }, + { + "left": "issue:4868", + "right": "issue:5524", + "accept": false, + "reason": "Different AttributeErrors on different objects and code paths." + }, + { + "left": "issue:11014", + "right": "issue:4368", + "accept": false, + "reason": "Both are OOM reports, but in different training scenarios and not the same bug." + }, + { + "left": "issue:10591", + "right": "issue:3224", + "accept": false, + "reason": "Different Dreambooth/LoRA script issues with unrelated root causes." + }, + { + "left": "issue:2518", + "right": "issue:4756", + "accept": false, + "reason": "Different training-script requests: xformers support versus SDXL training-style support." + }, + { + "left": "issue:10612", + "right": "issue:9667", + "accept": false, + "reason": "Both involve FLUX loading, but one is a quantized LoRA fill pipeline error and the other is an fp8 local transformer loader issue." + }, + { + "left": "issue:3645", + "right": "issue:5059", + "accept": false, + "reason": "Different training/finetuning requests for different model setups." + }, + { + "left": "issue:11088", + "right": "issue:12085", + "accept": false, + "reason": "Both are Wan gguf load errors, but they hit different model classes and likely different loaders." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 62, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10055", + "issue:1033", + "issue:10573", + "issue:10705", + "issue:10866", + "issue:11160", + "issue:11169", + "issue:1125", + "issue:11436", + "issue:12499", + "issue:13249", + "issue:1572", + "issue:1604", + "issue:234", + "issue:2459", + "issue:2806", + "issue:2819", + "issue:304", + "issue:3420", + "issue:3582", + "issue:4000", + "issue:4104", + "issue:4118", + "issue:4198", + "issue:4229", + "issue:4557", + "issue:5016", + "issue:5447", + "issue:5524", + "issue:5563", + "issue:5619", + "issue:5749", + "issue:6107", + "issue:6280", + "issue:6353", + "issue:6446", + "issue:6697", + "issue:7681", + "issue:7728", + "issue:7960", + "issue:8405", + "issue:9044", + "issue:9156", + "issue:9237", + "issue:9239", + "issue:9501", + "issue:9630", + "issue:9895" + ], + "soft_pairs": [ + "issue:4000|issue:9044", + "issue:11436|issue:4198", + "issue:6353|issue:6697", + "issue:4104|issue:9239", + "issue:11169|issue:7681", + "issue:1125|issue:234", + "issue:10705|issue:9895", + "issue:10573|issue:8405", + "issue:10866|issue:13249", + "issue:11160|issue:12499", + "issue:1572|issue:234", + "issue:6107|issue:6446", + "issue:3582|issue:5447", + "issue:10055|issue:9501", + "issue:7960|issue:9630", + "issue:304|issue:7681", + "issue:5016|issue:5563", + "issue:4118|issue:6280", + "issue:1033|issue:5749", + "issue:4557|issue:5524", + "issue:9156|issue:9237", + "issue:4229|issue:7728", + "issue:1604|issue:2819", + "issue:2459|issue:5619", + "issue:2806|issue:3420" + ], + "prepared_review_unit_hash": "bffcbfb82c902eac04c3c3ccf0f03f89da54bba3987fd859b1254f48f05d1ea8", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34986, + "estimated_input_tokens": 8747, + "estimated_eval_tokens": 17750 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab-bag of unrelated diffusers issues: model loading/import failures, dtype/device mismatches, OOM, shape/index errors, and various training-script bugs across different pipelines and model families. None of the soft pairs look like the same underlying bug, so they should stay separate.", + "confidence": 0.92, + "canonical_issue_reason": "Issue 9237 is the best representative of the Flux-related subgroup: it is broad, detailed, and sits closest to other Flux training complaints (9156, 9501, 9895), with enough discussion to anchor the cluster if one issue must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9237 is the strongest single issue to represent the cluster because it is high-signal, well-discussed, and covers the most central recurring theme among the Flux training reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4000", + "right": "issue:9044", + "accept": false, + "reason": "Both are loading-related, but one is ckpt-to-diffusers conversion and the other is a missing SDXL weight file; different problems and fixes." + }, + { + "left": "issue:11436", + "right": "issue:4198", + "accept": false, + "reason": "Similar dtype-mismatch symptom, but different model/pipeline context and error source; not the same concrete bug." + }, + { + "left": "issue:6353", + "right": "issue:6697", + "accept": false, + "reason": "Training-example failure for SDXL ControlNet versus plain SDXL LoRA OOM; different failure modes." + }, + { + "left": "issue:4104", + "right": "issue:9239", + "accept": false, + "reason": "Both mention black images, but the reported triggers differ (`invalid value encountered in cast` vs ControlNet-Canny output); not clearly one bug." + }, + { + "left": "issue:11169", + "right": "issue:7681", + "accept": false, + "reason": "Both are import failures, but one is numpy binary incompatibility and the other is an OpenSSL/lib symbol issue; unrelated root causes." + }, + { + "left": "issue:1125", + "right": "issue:234", + "accept": false, + "reason": "Same legacy pipeline family, but one is a runtime error in inpaint and the other is a half-precision failure; different concrete issues." + }, + { + "left": "issue:10705", + "right": "issue:9895", + "accept": false, + "reason": "One is a performance regression from reusing FluxPipeline, the other is a device placement error after a commit; not mergeable as one fix." + }, + { + "left": "issue:10573", + "right": "issue:8405", + "accept": false, + "reason": "Both involve multiple ControlNets, but one is padding_mask_crop handling and the other is tensor size mismatch; different code paths." + }, + { + "left": "issue:10866", + "right": "issue:13249", + "accept": false, + "reason": "Different model families and different LoRA compatibility problems; only a broad thematic overlap." + }, + { + "left": "issue:11160", + "right": "issue:12499", + "accept": false, + "reason": "Both are WAN issues, but one is inconsistent inference in 2.1 and the other is a 2.2 condition-shape mismatch; distinct bugs." + }, + { + "left": "issue:1572", + "right": "issue:234", + "accept": false, + "reason": "Same pipeline lineage, but one is img2img/inpainting failure and the other is half-precision; not the same underlying defect." + }, + { + "left": "issue:6107", + "right": "issue:6446", + "accept": false, + "reason": "Environment/loading complaints, but on different models and scenarios (IP-Adapter on EC2 vs SD2-1 minimal loading on Colab)." + }, + { + "left": "issue:3582", + "right": "issue:5447", + "accept": false, + "reason": "Both affect control/denoising behavior, but one is ControlNet inpaint strength and the other is SDXL img2img with 2nd-order schedulers; too different." + }, + { + "left": "issue:10055", + "right": "issue:9501", + "accept": false, + "reason": "Both are training-related, but SD3 ControlNet script failure and Flux training save-delay are different problems." + }, + { + "left": "issue:7960", + "right": "issue:9630", + "accept": false, + "reason": "Both mention multi-GPU/Flux training, but the specific failures differ: SDXL training failure vs num_single_layers=0 on a single GPU setup." + }, + { + "left": "issue:304", + "right": "issue:7681", + "accept": false, + "reason": "Both are import issues, but they affect different dependencies and have different root causes." + }, + { + "left": "issue:5016", + "right": "issue:5563", + "accept": false, + "reason": "One is a specific inability to train text encoders in an SDXL LoRA script; the other is a broader report of multiple SDXL DreamBooth LoRA errors." + }, + { + "left": "issue:4118", + "right": "issue:6280", + "accept": false, + "reason": "Both mention from_single_file, but they are different missing APIs on different classes/pipelines; not clearly one fix." + }, + { + "left": "issue:1033", + "right": "issue:5749", + "accept": false, + "reason": "Both are index errors, but the reported indices and pipelines differ; no evidence of the same bug." + }, + { + "left": "issue:4557", + "right": "issue:5524", + "accept": false, + "reason": "Different attribute errors on different objects (`super.__getattr__` vs missing `lora_layer`); unrelated." + }, + { + "left": "issue:9156", + "right": "issue:9237", + "accept": false, + "reason": "Both are Flux LoRA training issues, but one is an OOM and the other is a broader training/reporting issue; not the same concrete bug." + }, + { + "left": "issue:4229", + "right": "issue:7728", + "accept": false, + "reason": "Both involve accelerated training, but they are different scripts and error conditions, so they should not be merged." + }, + { + "left": "issue:1604", + "right": "issue:2819", + "accept": false, + "reason": "One is a code regression in lpw_stable_diffusion.py, the other is a network/download failure fetching that file; different causes." + }, + { + "left": "issue:2459", + "right": "issue:5619", + "accept": false, + "reason": "Completely different features: xformers enablement in a training script versus AutoencodeTiny LCM img2img encoding." + }, + { + "left": "issue:2806", + "right": "issue:3420", + "accept": false, + "reason": "Different pipeline behavior problems: customized pipelines not being printed vs ControlNetInpaintPipeline incompatibility with Diffusion pipeline." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 63, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11117", + "issue:12157", + "issue:12195", + "issue:13053", + "issue:1363", + "issue:1434", + "issue:1572", + "issue:1604", + "issue:1875", + "issue:1931", + "issue:2185", + "issue:2616", + "issue:3032", + "issue:3174", + "issue:3348", + "issue:3411", + "issue:3450", + "issue:3574", + "issue:3660", + "issue:3816", + "issue:4256", + "issue:4398", + "issue:487", + "issue:5014", + "issue:5447", + "issue:5510", + "issue:5577", + "issue:5678", + "issue:5860", + "issue:6158", + "issue:6176", + "issue:6218", + "issue:6298", + "issue:639", + "issue:6879", + "issue:6967", + "issue:720", + "issue:7347", + "issue:7589", + "issue:7985", + "issue:8613", + "issue:8729", + "issue:9179", + "issue:9180", + "issue:9516", + "issue:9527", + "issue:9556", + "issue:9902" + ], + "soft_pairs": [ + "issue:5510|issue:720", + "issue:3174|issue:4398", + "issue:1572|issue:6218", + "issue:11117|issue:6879", + "issue:1363|issue:9527", + "issue:1604|issue:5577", + "issue:3411|issue:5014", + "issue:4256|issue:6967", + "issue:12195|issue:9902", + "issue:5447|issue:5860", + "issue:3816|issue:9180", + "issue:6176|issue:7347", + "issue:487|issue:7589", + "issue:5678|issue:6298", + "issue:3450|issue:3574", + "issue:3660|issue:7985", + "issue:12157|issue:2185", + "issue:1875|issue:1931", + "issue:13053|issue:6158", + "issue:1434|issue:8613", + "issue:2616|issue:3032", + "issue:639|issue:9516", + "issue:8729|issue:9179", + "issue:3348|issue:9556" + ], + "prepared_review_unit_hash": "b0bf6bc643edab6b113a3b0f8bec5cad672779c542ab2ef52f9af82424a27b77", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34220, + "estimated_input_tokens": 8555, + "estimated_eval_tokens": 17366 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are only superficially similar: many mention dtype, LoRA, ControlNet, or training failures, but each points to a different pipeline, script, or code path. No soft pair looks like a true duplicate, so the cluster should not be merged aggressively.", + "confidence": 0.82, + "canonical_issue_reason": "issue:9527 is the clearest concrete bug report in the set: a specific dtype mismatch in a named ControlNet/main pipeline combination, with a focused runtime failure and actionable scope.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9527 is the best representative issue because it is specific, reproducible, and clearly framed as a single bug rather than a broad feature or vague regression.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5510", + "right": "issue:720", + "accept": false, + "reason": "Both are half/float mismatch errors, but they affect different pipelines and code paths (SDXL InstructPix2Pix vs traced UNet docs example)." + }, + { + "left": "issue:3174", + "right": "issue:4398", + "accept": false, + "reason": "Both involve LoRA/dreambooth, but one is a loading regression and the other is black-image generation in an SDXL LoRA pipeline; not the same bug." + }, + { + "left": "issue:1572", + "right": "issue:6218", + "accept": false, + "reason": "Different failures in different pipelines: img2img/inpainting incompatibility versus batched seed behavior in ControlNet/Img2Img." + }, + { + "left": "issue:11117", + "right": "issue:6879", + "accept": false, + "reason": "Both are dtype-related, but they are separate model/training paths with different failing operations and error types." + }, + { + "left": "issue:1363", + "right": "issue:9527", + "accept": false, + "reason": "ONNX long-prompt/LMS scheduler error is unrelated to ControlNet fp32 vs bf16 dtype mismatch." + }, + { + "left": "issue:1604", + "right": "issue:5577", + "accept": false, + "reason": "Different subsystems and failures: an LPW script regression in diffusers 0.9.0 versus a from_single_file ControlNet key error." + }, + { + "left": "issue:3411", + "right": "issue:5014", + "accept": false, + "reason": "One is a test case for DreamBooth-LoRA text encoder coverage; the other is an issue about poor training results. Not the same bug." + }, + { + "left": "issue:4256", + "right": "issue:6967", + "accept": false, + "reason": "Both concern SDXL training, but one is a generic DreamBooth error and the other is a prior-preservation shape mismatch in an advanced LoRA script." + }, + { + "left": "issue:12195", + "right": "issue:9902", + "accept": false, + "reason": "AutoencoderKL/PyTorch custom_op failure is unrelated to a conda version pinning/stuck-version report." + }, + { + "left": "issue:5447", + "right": "issue:5860", + "accept": false, + "reason": "One is a scheduler/denoising_start bug in SDXL img2img; the other is a Tiny Autoencoder + ControlNet pipeline failure." + }, + { + "left": "issue:3816", + "right": "issue:9180", + "accept": false, + "reason": "Missing CLIPImageProcessor and missing _execution_device are distinct runtime issues in different parts of the library." + }, + { + "left": "issue:6176", + "right": "issue:7347", + "accept": false, + "reason": "Both mention LoRA training/loading, but they describe different breakages and do not indicate the same underlying defect." + }, + { + "left": "issue:487", + "right": "issue:7589", + "accept": false, + "reason": "M1 CPU support and GLIGEN layout-to-image are unrelated pipeline capabilities and failures." + }, + { + "left": "issue:5678", + "right": "issue:6298", + "accept": false, + "reason": "Higher-order autograd with scaled_dot_product_attention is unrelated to a CLIPImageProjection attribute error in GLIGEN." + }, + { + "left": "issue:3450", + "right": "issue:3574", + "accept": false, + "reason": "Both mention from_ckpt, but one is a dev-version regression and the other is a Windows-specific failure; likely different causes." + }, + { + "left": "issue:3660", + "right": "issue:7985", + "accept": false, + "reason": "Both are torch.compile compatibility complaints, but they target different components (LoRA/xformers vs IPAdapter) and are not the same concrete bug." + }, + { + "left": "issue:12157", + "right": "issue:2185", + "accept": false, + "reason": "A torch.device iteration error during Qwen-Image bnb quantized training is unrelated to missing config files for naive text-to-image training." + }, + { + "left": "issue:1875", + "right": "issue:1931", + "accept": false, + "reason": "Both are fp16/float dtype mismatches, but they affect different training pipelines and error sites; too broad to treat as one bug." + }, + { + "left": "issue:13053", + "right": "issue:6158", + "accept": false, + "reason": "These are separate feature requests for different pipelines (Unipic 3.0 vs SDXL animatediff)." + }, + { + "left": "issue:1434", + "right": "issue:8613", + "accept": false, + "reason": "Both mention OOM, but one is image upscaling memory blowup and the other is caption-column training OOM; not the same issue." + }, + { + "left": "issue:2616", + "right": "issue:3032", + "accept": false, + "reason": "Different attribute errors in different flows: save_attn_procs serialization versus missing from_pretrained on a pipeline class." + }, + { + "left": "issue:639", + "right": "issue:9516", + "accept": false, + "reason": "Parameter initialization mismatch is unrelated to FLUX joint_attention_kwargs not being forwarded." + }, + { + "left": "issue:8729", + "right": "issue:9179", + "accept": false, + "reason": "Both involve SDXL ControlNet training, but one is about unexpected validation images and the other about nonsensical training results; not the same defect." + }, + { + "left": "issue:3348", + "right": "issue:9556", + "accept": false, + "reason": "Both are LoRA-related, but one is about xformers scale support and the other about saved models under rslora." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 64, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10026", + "issue:10198", + "issue:10712", + "issue:11041", + "issue:11088", + "issue:11907", + "issue:12078", + "issue:12141", + "issue:1407", + "issue:1572", + "issue:1946", + "issue:1988", + "issue:2361", + "issue:3619", + "issue:4256", + "issue:4724", + "issue:4728", + "issue:4752", + "issue:5012", + "issue:5075", + "issue:5246", + "issue:5374", + "issue:5433", + "issue:5475", + "issue:5504", + "issue:5577", + "issue:5593", + "issue:5619", + "issue:5760", + "issue:579", + "issue:6351", + "issue:6610", + "issue:6869", + "issue:6894", + "issue:7133", + "issue:7333", + "issue:7735", + "issue:7864", + "issue:7935", + "issue:7960", + "issue:8494", + "issue:9047", + "issue:9067", + "issue:9112", + "issue:9546", + "issue:9576", + "issue:9857" + ], + "soft_pairs": [ + "issue:5593|issue:9576", + "issue:5504|issue:6894", + "issue:9112|issue:9857", + "issue:10026|issue:7960", + "issue:10010|issue:10198", + "issue:12078|issue:9546", + "issue:5075|issue:5433", + "issue:12141|issue:5619", + "issue:4724|issue:5577", + "issue:5012|issue:7735", + "issue:5246|issue:9067", + "issue:579|issue:7935", + "issue:5475|issue:5760", + "issue:6351|issue:6610", + "issue:5374|issue:8494", + "issue:11041|issue:11088", + "issue:1572|issue:3619", + "issue:4256|issue:7133", + "issue:2361|issue:4728", + "issue:11907|issue:9047", + "issue:1988|issue:4752", + "issue:10712|issue:1946", + "issue:1407|issue:6869", + "issue:7333|issue:7864" + ], + "prepared_review_unit_hash": "d1fed8e997ca0d94fb39cd2227cd586a6b97218d5d728e74f83dc195d9b996bb", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34418, + "estimated_input_tokens": 8605, + "estimated_eval_tokens": 17466 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated model- or pipeline-specific issues (Flux, SDXL, Wan, StableDiffusion3, etc.) that only share generic failure wording. No soft pair looks like the same underlying bug/change, so none should be merged as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5593", + "right": "issue:9576", + "accept": false, + "reason": "Different problems in different paths: AutoPipeline ControlNet conversion vs. pipeline loading not passing use_safetensors." + }, + { + "left": "issue:5504", + "right": "issue:6894", + "accept": false, + "reason": "Both mention LoRA/xformers, but one is PEFT+xformers compatibility and the other is SDXL Dreambooth LoRA behavior in A1111." + }, + { + "left": "issue:9112", + "right": "issue:9857", + "accept": false, + "reason": "Different models and errors: Auraflow tensor shape mismatch vs. Flux ControlNet embedding size mismatch." + }, + { + "left": "issue:10026", + "right": "issue:7960", + "accept": false, + "reason": "Both are multi-GPU training issues, but one is Flux ControlNet DeepSpeed memory behavior and the other is SDXL training failing on multi-GPU." + }, + { + "left": "issue:10010", + "right": "issue:10198", + "accept": false, + "reason": "Different Flux bugs: missing FLUX Fill model_index.json vs. Flux.1-dev weight mismatch." + }, + { + "left": "issue:12078", + "right": "issue:9546", + "accept": false, + "reason": "Both involve Flux ControlNet training, but one is validation input/example data and the other is out-of-memory during validation." + }, + { + "left": "issue:5075", + "right": "issue:5433", + "accept": false, + "reason": "Both are SDXL-related shape/artifact issues, but one is prompt-embed dimension mismatch in refiner and the other is DPM++ visual artifacts without refiner." + }, + { + "left": "issue:12141", + "right": "issue:5619", + "accept": false, + "reason": "Different pipelines and root causes: WanVACE VAE dtype compatibility vs. AutoencodeTiny img2img encoding behavior." + }, + { + "left": "issue:4724", + "right": "issue:5577", + "accept": false, + "reason": "Different features and failures: SDXL img2img checkpoint behavior vs. ControlNet single-file loading key error." + }, + { + "left": "issue:5012", + "right": "issue:7735", + "accept": false, + "reason": "LoRA text-encoder training vs. dataset caption-column validation; unrelated causes." + }, + { + "left": "issue:5246", + "right": "issue:9067", + "accept": false, + "reason": "Different import/version issues: missing CLIPImageProjection vs. missing diffusers.hub_utils module." + }, + { + "left": "issue:579", + "right": "issue:7935", + "accept": false, + "reason": "Both mention missing config files, but one is textual inversion config.json and the other is stable-diffusion-2-1 model config.json loading." + }, + { + "left": "issue:5475", + "right": "issue:5760", + "accept": false, + "reason": "Completely different video-generation research topics; not the same bug or change." + }, + { + "left": "issue:6351", + "right": "issue:6610", + "accept": false, + "reason": "Different resume/training adapter issue vs. from_single_file inpaint channel-config behavior." + }, + { + "left": "issue:5374", + "right": "issue:8494", + "accept": false, + "reason": "Different unexpected-argument errors in different code paths: checkpoint_path vs. force_hooks." + }, + { + "left": "issue:11041", + "right": "issue:11088", + "accept": false, + "reason": "Both are WAN2.1 issues, but one is apply_group_offloading failure and the other is GGUF load error." + }, + { + "left": "issue:1572", + "right": "issue:3619", + "accept": false, + "reason": "Both are older pipeline failures, but one is stable_diffusion_mega img2img/inpainting and the other is Text2Video-Zero CrossFrameAttention." + }, + { + "left": "issue:4256", + "right": "issue:7133", + "accept": false, + "reason": "Both concern training, but one is SDXL Dreambooth and the other is SDXL Dreambooth LoRA checkpoint resume text-encoder mismatch." + }, + { + "left": "issue:2361", + "right": "issue:4728", + "accept": false, + "reason": "Both mention training/checkpointing, but one is checkpoint save crash and the other is resume_from_checkpoint OOM." + }, + { + "left": "issue:11907", + "right": "issue:9047", + "accept": false, + "reason": "Different Flux scheduler/device problems: scheduler incompatibility vs. MPS device support." + }, + { + "left": "issue:1988", + "right": "issue:4752", + "accept": false, + "reason": "Very similar fp16/bf16 mismatch wording, but one is trainer example generation and the other is SDXL pipeline input/bias mismatch." + }, + { + "left": "issue:10712", + "right": "issue:1946", + "accept": false, + "reason": "Different runtime errors in different subsystems: SD3 prompt_embeds crash vs. xformers CUDA invalid argument." + }, + { + "left": "issue:1407", + "right": "issue:6869", + "accept": false, + "reason": "Different ONNX/feature_extractor issue vs. export_to_video unpacking error." + }, + { + "left": "issue:7333", + "right": "issue:7864", + "accept": false, + "reason": "Different research/project topics; one is image-to-video noise rectification and the other is MotionMaster camera motion transfer." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 65, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10282", + "issue:10689", + "issue:1070", + "issue:10712", + "issue:10738", + "issue:11285", + "issue:11474", + "issue:11585", + "issue:11864", + "issue:13043", + "issue:1363", + "issue:1709", + "issue:1925", + "issue:1944", + "issue:2036", + "issue:2250", + "issue:228", + "issue:2776", + "issue:3152", + "issue:3497", + "issue:3761", + "issue:4000", + "issue:4183", + "issue:490", + "issue:4925", + "issue:5054", + "issue:5504", + "issue:5522", + "issue:5563", + "issue:5603", + "issue:5661", + "issue:5884", + "issue:6761", + "issue:6914", + "issue:7003", + "issue:7056", + "issue:7483", + "issue:776", + "issue:8589", + "issue:8817", + "issue:8939", + "issue:8950", + "issue:8956", + "issue:9180", + "issue:9484", + "issue:9841", + "issue:9914", + "issue:9959" + ], + "soft_pairs": [ + "issue:6914|issue:8817", + "issue:1709|issue:9180", + "issue:1070|issue:1925", + "issue:10738|issue:11474", + "issue:10282|issue:7003", + "issue:4925|issue:5563", + "issue:10689|issue:5884", + "issue:7056|issue:9841", + "issue:8589|issue:8950", + "issue:2776|issue:9484", + "issue:3497|issue:5054", + "issue:11864|issue:5661", + "issue:10712|issue:1363", + "issue:1944|issue:2250", + "issue:13043|issue:4183", + "issue:5522|issue:6761", + "issue:5504|issue:7483", + "issue:2036|issue:8939", + "issue:11285|issue:4000", + "issue:9914|issue:9959", + "issue:11585|issue:490", + "issue:228|issue:776", + "issue:3152|issue:5603", + "issue:3761|issue:8956" + ], + "prepared_review_unit_hash": "595955aff1786821c2cdeb70975ba4d30575f0d5aed7496af193c2f5b28c9fac", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34438, + "estimated_input_tokens": 8610, + "estimated_eval_tokens": 17476 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster looks like a set of unrelated Diffusers issues that only share generic wording around errors, pipelines, training, or loading. None of the soft pairs look like the same underlying bug/change, so I would not deduplicate them into a single canonical item.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6914", + "right": "issue:8817", + "accept": false, + "reason": "Different IP-Adapter failures: one is an offload/shape AttributeError, the other is a general FaceID usage issue." + }, + { + "left": "issue:1709", + "right": "issue:9180", + "accept": false, + "reason": "Unrelated bugs: ONNX img2img Tensor/astype error vs missing _execution_device attribute in pipelines." + }, + { + "left": "issue:1070", + "right": "issue:1925", + "accept": false, + "reason": "Both mention inpainting, but one is a generic new-version bug and the other is a half-precision problem; no clear same code path." + }, + { + "left": "issue:10738", + "right": "issue:11474", + "accept": false, + "reason": "Different out-of-bounds errors in different contexts: scheduler sigma indexing vs a separate index-999 dimension mismatch." + }, + { + "left": "issue:10282", + "right": "issue:7003", + "accept": false, + "reason": "Both are tensor shape mismatches, but for different pipelines and parameters (x_embedder weight vs inpaint conv weights)." + }, + { + "left": "issue:4925", + "right": "issue:5563", + "accept": false, + "reason": "Both involve training memory/errors, but one is distributed ControlNet OOM and the other is SDXL DreamBooth LoRA training errors." + }, + { + "left": "issue:10689", + "right": "issue:5884", + "accept": false, + "reason": "Same broad IP-Adapter feature area, but one requests Flux pipeline support while the other is about all ControlNet/T2I pipelines." + }, + { + "left": "issue:7056", + "right": "issue:9841", + "accept": false, + "reason": "Both are LoRA training issues, but they target different models and different error conditions; not the same concrete bug." + }, + { + "left": "issue:8589", + "right": "issue:8950", + "accept": false, + "reason": "Both mention SD3 training, but one is prior preservation and the other is a generic SD3 LoRA training bug." + }, + { + "left": "issue:2776", + "right": "issue:9484", + "accept": false, + "reason": "Different training stack problems: DeepSpeed version requirement on 8GB vs FLUX multi-GPU dreambooth with deepspeed." + }, + { + "left": "issue:3497", + "right": "issue:5054", + "accept": false, + "reason": "Both are pipeline attribute/API issues, but one is missing from_ckpt on inpaint pipeline and the other is final_offload_hook on SDXL pipeline." + }, + { + "left": "issue:11864", + "right": "issue:5661", + "accept": false, + "reason": "Both are name/import errors, but one is torch.compile-specific AutoencoderDC failure and the other is a tokenizer symbol missing in diffusers 0.22.1." + }, + { + "left": "issue:10712", + "right": "issue:1363", + "accept": false, + "reason": "Prompt_embeds runtime error in SD3 is unrelated to an ONNX long-prompt/LMS scheduler error." + }, + { + "left": "issue:1944", + "right": "issue:2250", + "accept": false, + "reason": "Both are DreamBooth-related, but one reports random generations during training and the other inference failing to generate an image." + }, + { + "left": "issue:13043", + "right": "issue:4183", + "accept": false, + "reason": "Both are attention/guidance problems in different backends; Blackwell kernel support is unrelated to controlnet guidance_scale behavior." + }, + { + "left": "issue:5522", + "right": "issue:6761", + "accept": false, + "reason": "Different API mismatches: PEFT load_adapter keyword error vs VaeImageProcessor.preprocess unexpected keyword error." + }, + { + "left": "issue:5504", + "right": "issue:7483", + "accept": false, + "reason": "Both mention LoRA/PEFT, but one is xformers integration and the other is SDXL base-model conversion." + }, + { + "left": "issue:2036", + "right": "issue:8939", + "accept": false, + "reason": "Unrelated loading failures: a generic stable-diffusion-v1-4 OSError vs tokenizer loading for SD3-medium." + }, + { + "left": "issue:11285", + "right": "issue:4000", + "accept": false, + "reason": "Both concern conversion, but one is generic convert to/from diffusers value errors and the other is ckpt-to-diffusers for SD2.0." + }, + { + "left": "issue:9914", + "right": "issue:9959", + "accept": false, + "reason": "Both are Flux/xlabs LoRA load errors, but the reported failing locations and symptoms differ enough that this is not clearly one bug." + }, + { + "left": "issue:11585", + "right": "issue:490", + "accept": false, + "reason": "Both are broad quality/memory complaints, but one is a vague web UI result issue and the other is a specific memory issue in diffusers." + }, + { + "left": "issue:228", + "right": "issue:776", + "accept": false, + "reason": "Different release/link problem vs img2img batch-size runtime bug; no shared underlying defect." + }, + { + "left": "issue:3152", + "right": "issue:5603", + "accept": false, + "reason": "Completely different import errors in unrelated libraries: TensorFlow Lite analyzer wrapper vs diffusers safetensors utility." + }, + { + "left": "issue:3761", + "right": "issue:8956", + "accept": false, + "reason": "Both are model-loading complaints, but one is about loading two community pipelines in one process and the other is an OVStableDiffusionXL model load failure." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 66, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11033", + "issue:11149", + "issue:11464", + "issue:11585", + "issue:13274", + "issue:1335", + "issue:1552", + "issue:1604", + "issue:1883", + "issue:1946", + "issue:1976", + "issue:234", + "issue:2471", + "issue:3235", + "issue:3296", + "issue:3401", + "issue:3573", + "issue:4000", + "issue:4030", + "issue:4186", + "issue:4304", + "issue:4697", + "issue:4701", + "issue:490", + "issue:5014", + "issue:5488", + "issue:5798", + "issue:6388", + "issue:7229", + "issue:7267", + "issue:7483", + "issue:7589", + "issue:7666", + "issue:7708", + "issue:817", + "issue:8482", + "issue:859", + "issue:8686", + "issue:8805", + "issue:8885", + "issue:8887", + "issue:8989", + "issue:9101", + "issue:9179", + "issue:964", + "issue:9667", + "issue:9913", + "issue:9941" + ], + "soft_pairs": [ + "issue:1335|issue:859", + "issue:1883|issue:8482", + "issue:8887|issue:9101", + "issue:234|issue:2471", + "issue:11585|issue:4186", + "issue:1552|issue:7666", + "issue:11033|issue:1976", + "issue:1976|issue:490", + "issue:4000|issue:7708", + "issue:4030|issue:9941", + "issue:3401|issue:3573", + "issue:7589|issue:8686", + "issue:13274|issue:8989", + "issue:11464|issue:4697", + "issue:1946|issue:4701", + "issue:3235|issue:8885", + "issue:4304|issue:6388", + "issue:5014|issue:9179", + "issue:8805|issue:9913", + "issue:5798|issue:859", + "issue:817|issue:964", + "issue:11149|issue:5798", + "issue:5488|issue:7589", + "issue:7267|issue:9667", + "issue:3296|issue:7229", + "issue:1604|issue:7483" + ], + "prepared_review_unit_hash": "8d2075700b8d5dfa20e208988e176b5b3dc2ed36b73887ed69146d9484333c48", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34345, + "estimated_input_tokens": 8587, + "estimated_eval_tokens": 17430 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated standalone issues; only the two \"class_labels should be provided\" reports look like the same underlying bug. The rest share broad subsystems or vague error patterns but do not appear to be duplicates.", + "confidence": 0.89, + "canonical_issue_reason": "issue:3401 is the clearest, most generic report of the shared bug and has the strongest duplicate candidate attached.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3401 is the best representative issue for this cluster because it is specific enough to identify the failure mode yet broad enough to cover the matched duplicate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1335", + "right": "issue:859", + "accept": false, + "reason": "Different missing-argument problems in different pipelines; same error class, not the same bug." + }, + { + "left": "issue:1883", + "right": "issue:8482", + "accept": false, + "reason": "VAE gradient checkpointing support vs SD3 model support request; unrelated concrete issues." + }, + { + "left": "issue:8887", + "right": "issue:9101", + "accept": false, + "reason": "Both involve SD3 training, but they describe different script bugs and code paths." + }, + { + "left": "issue:234", + "right": "issue:2471", + "accept": false, + "reason": "Half-precision failure and attend-and-excite size handling are unrelated." + }, + { + "left": "issue:11585", + "right": "issue:4186", + "accept": false, + "reason": "Generic bad results vs SDXL inpaint/refiner behavior; no shared underlying defect." + }, + { + "left": "issue:1552", + "right": "issue:7666", + "accept": false, + "reason": "Attention slicing on SD2 and from_single_file custom pipeline loading are different problems." + }, + { + "left": "issue:11033", + "right": "issue:1976", + "accept": false, + "reason": "Both mention loading, but one is Unet from_single_file and the other is tokenizer path resolution; not the same bug." + }, + { + "left": "issue:1976", + "right": "issue:490", + "accept": false, + "reason": "Tokenizer/config file lookup issue vs general memory comparison; unrelated." + }, + { + "left": "issue:4000", + "right": "issue:7708", + "accept": false, + "reason": "SD2 ckpt conversion and SDXL tokenizer file lookup are different conversion/loading failures." + }, + { + "left": "issue:4030", + "right": "issue:9941", + "accept": false, + "reason": "Different runtime failures with no clear shared code-path." + }, + { + "left": "issue:3401", + "right": "issue:3573", + "accept": true, + "reason": "Same error message and same underlying class-label requirement bug, with one report being a narrower pipeline manifestation." + }, + { + "left": "issue:7589", + "right": "issue:8686", + "accept": false, + "reason": "GLIGEN layout-to-image and SDXL ControlNet callback issues are unrelated." + }, + { + "left": "issue:13274", + "right": "issue:8989", + "accept": false, + "reason": "Both reference Stable Audio, but one is a recursion error and the other is a sequential offloading bug; not the same defect." + }, + { + "left": "issue:11464", + "right": "issue:4697", + "accept": false, + "reason": "Different LoRA loading failures in different contexts; too broad to merge." + }, + { + "left": "issue:1946", + "right": "issue:4701", + "accept": false, + "reason": "Different CUDA errors in different components; not the same concrete bug." + }, + { + "left": "issue:3235", + "right": "issue:8885", + "accept": false, + "reason": "Custom Diffusion weight-loading with biases vs example setup/install problems; different issues." + }, + { + "left": "issue:4304", + "right": "issue:6388", + "accept": false, + "reason": "SDXL LoRA training support request vs gradient-checkpointing bug; not duplicates." + }, + { + "left": "issue:5014", + "right": "issue:9179", + "accept": false, + "reason": "Different training-result complaints in different scripts and model families." + }, + { + "left": "issue:8805", + "right": "issue:9913", + "accept": false, + "reason": "SDXL conversion script regression vs LoRA device setting behavior; unrelated." + }, + { + "left": "issue:5798", + "right": "issue:859", + "accept": false, + "reason": "Both are unexpected-keyword errors, but they involve different keywords, pipelines, and fixes." + }, + { + "left": "issue:817", + "right": "issue:964", + "accept": false, + "reason": "Mixed precision in DreamBooth and inpainting example failure are unrelated." + }, + { + "left": "issue:11149", + "right": "issue:5798", + "accept": false, + "reason": "Quantizer dtype keyword mismatch vs ControlNet callback keyword mismatch; different APIs." + }, + { + "left": "issue:5488", + "right": "issue:7589", + "accept": false, + "reason": "Demo image generation failure and GLIGEN layout-to-image are not the same bug." + }, + { + "left": "issue:7267", + "right": "issue:9667", + "accept": false, + "reason": "Local data loading in train_controlnet vs Flux fp8 local transformer loading; different code paths." + }, + { + "left": "issue:3296", + "right": "issue:7229", + "accept": false, + "reason": "Both mention checkpoints, but one is DreamBooth with text_encoder and the other is advanced training broadly; insufficient evidence of same bug." + }, + { + "left": "issue:1604", + "right": "issue:7483", + "accept": false, + "reason": "Broken lpw_stable_diffusion.py on a version bump vs SDXL LoRA conversion script failure; unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The verdicts are conservative and grounded in the packet. The only accepted pair, issue:3401 and issue:3573, shares the same error text and a plausible shared class-label requirement bug; the remaining pairs are reasonably separated by different APIs, pipelines, or failure modes." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 67, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1070", + "issue:10712", + "issue:11285", + "issue:11853", + "issue:12003", + "issue:12009", + "issue:1249", + "issue:13043", + "issue:1305", + "issue:13298", + "issue:1556", + "issue:1616", + "issue:1672", + "issue:2420", + "issue:2459", + "issue:2775", + "issue:2871", + "issue:2904", + "issue:3124", + "issue:4137", + "issue:4183", + "issue:4213", + "issue:4340", + "issue:4389", + "issue:4460", + "issue:4542", + "issue:490", + "issue:5465", + "issue:5524", + "issue:5606", + "issue:6280", + "issue:6298", + "issue:6427", + "issue:6594", + "issue:6610", + "issue:6879", + "issue:6964", + "issue:7228", + "issue:7509", + "issue:771", + "issue:858", + "issue:8686", + "issue:8826", + "issue:9476", + "issue:9525", + "issue:969", + "issue:9841" + ], + "soft_pairs": [ + "issue:13043|issue:5606", + "issue:5606|issue:9525", + "issue:12003|issue:12009", + "issue:1305|issue:7509", + "issue:13298|issue:1556", + "issue:490|issue:6594", + "issue:4542|issue:969", + "issue:2775|issue:8826", + "issue:5524|issue:858", + "issue:4389|issue:7228", + "issue:1070|issue:2871", + "issue:6280|issue:6610", + "issue:6427|issue:6964", + "issue:4137|issue:4460", + "issue:4213|issue:8686", + "issue:3124|issue:771", + "issue:11853|issue:4183", + "issue:11285|issue:1672", + "issue:1249|issue:2904", + "issue:2420|issue:2459", + "issue:6879|issue:9476", + "issue:10712|issue:6298", + "issue:1616|issue:5465", + "issue:4340|issue:9841" + ], + "prepared_review_unit_hash": "a524a71cdb8a7c234efa649e13558267ae0c2e41172367049bb78285d61ea76c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33999, + "estimated_input_tokens": 8500, + "estimated_eval_tokens": 17256 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a noisy cluster of mostly unrelated Diffusers bug reports. Only two soft pairs look like true duplicates: the meta-tensor model-loading failure (12003/12009) and the xformers LoRA training issue in train_text_to_image_lora.py (2420/2459). The rest are broader-sounding but refer to different pipelines, error modes, or subsystems.", + "confidence": 0.79, + "canonical_issue_reason": "issue:12003 is the clearest representative of the shared meta-tensor loading failure: it is the broader, open report, and issue:12009 appears to be the same bug manifested while loading Wan2.2 GGUF.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12003 is the best issue candidate because it is open, broadly worded, and directly matches a concrete duplicate counterpart; it captures the underlying model-loading/meta-tensor problem better than the more specific closed report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:13043", + "right": "issue:5606", + "accept": false, + "reason": "Different bugs: GPU kernel-image support on RTX 5090 vs LoRA alpha handling." + }, + { + "left": "issue:5606", + "right": "issue:9525", + "accept": false, + "reason": "Both involve LoRA, but one is missing alpha metadata and the other says lora_scale has no effect; not the same failure mode." + }, + { + "left": "issue:12003", + "right": "issue:12009", + "accept": true, + "reason": "Same underlying meta-tensor loading bug; the Wan2.2 GGUF report is a specific instance of the general 'cannot copy out of meta tensor' failure." + }, + { + "left": "issue:1305", + "right": "issue:7509", + "accept": false, + "reason": "Unrelated pipelines: Direct Inversion image editing vs ReNoise inversion pipeline announcement." + }, + { + "left": "issue:13298", + "right": "issue:1556", + "accept": false, + "reason": "Both mention CUDA/image generation problems, but the titles point to different symptoms and likely different causes." + }, + { + "left": "issue:490", + "right": "issue:6594", + "accept": false, + "reason": "Memory usage vs network/config download failure; not the same bug." + }, + { + "left": "issue:4542", + "right": "issue:969", + "accept": false, + "reason": "Different issues: img2img multi-image output vs multi-GPU accelerate test failure." + }, + { + "left": "issue:2775", + "right": "issue:8826", + "accept": false, + "reason": "Different runtime errors in different code paths: torch._dynamo misuse vs torch.cat on an empty list." + }, + { + "left": "issue:5524", + "right": "issue:858", + "accept": false, + "reason": "Both are AttributeErrors, but they involve different objects and code paths during LoRA loading." + }, + { + "left": "issue:4389", + "right": "issue:7228", + "accept": false, + "reason": "Different model-loading problems: ControlNetModel loading vs traced model missing dtype." + }, + { + "left": "issue:1070", + "right": "issue:2871", + "accept": false, + "reason": "Both touch inpainting, but one is a general newer-version bug and the other is specifically latent output handling." + }, + { + "left": "issue:6280", + "right": "issue:6610", + "accept": false, + "reason": "Different from_single_file limitations: missing API vs num_in_channels being ignored." + }, + { + "left": "issue:6427", + "right": "issue:6964", + "accept": false, + "reason": "Different conversion/loading problems: ckpt conversion vs 4-channel UNet support in ControlNet inpaint." + }, + { + "left": "issue:4137", + "right": "issue:4460", + "accept": false, + "reason": "Both are about differing outputs, but one is LoRA-specific and the other is a general Stable Diffusion vs Diffusers comparison." + }, + { + "left": "issue:4213", + "right": "issue:8686", + "accept": false, + "reason": "Unrelated features: from_single_file without accelerate vs CFG-cutoff callback with ControlNet." + }, + { + "left": "issue:3124", + "right": "issue:771", + "accept": false, + "reason": "Different training/model conversion issues: ckpt conversion vs BF16 DreamBooth support." + }, + { + "left": "issue:11853", + "right": "issue:4183", + "accept": false, + "reason": "Different bugs: ControlNet+IP-Adapter conflict vs guidance_scale <= 1 failure in controlnet generation." + }, + { + "left": "issue:11285", + "right": "issue:1672", + "accept": false, + "reason": "Both involve conversion, but one is value errors in conversion and the other is wrong output size after ckpt conversion." + }, + { + "left": "issue:1249", + "right": "issue:2904", + "accept": false, + "reason": "Different pipelines and failures: OnnxPipeline numpy/device mismatch vs AudioLDM scheduler missing." + }, + { + "left": "issue:2420", + "right": "issue:2459", + "accept": true, + "reason": "Same concrete bug in train_text_to_image_lora.py: enabling xformers memory-efficient attention does not work." + }, + { + "left": "issue:6879", + "right": "issue:9476", + "accept": false, + "reason": "Different dtype mismatches in different training contexts; not the same code-path problem." + }, + { + "left": "issue:10712", + "right": "issue:6298", + "accept": false, + "reason": "StableDiffusion3 prompt_embeds runtime error is unrelated to GLIGEN's missing CLIPImageProjection attribute." + }, + { + "left": "issue:1616", + "right": "issue:5465", + "accept": false, + "reason": "Different pipeline-specific bugs: LPW pipeline support vs DiffEdit inpaint_strength constraint." + }, + { + "left": "issue:4340", + "right": "issue:9841", + "accept": false, + "reason": "Both are SDXL LoRA training issues, but the errors and triggers are different enough that they do not look like the same bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft-edge calls. The two accepted pairs (12003/12009 and 2420/2459) are well-supported by the titles and issue descriptions, and the rejections do not overclaim duplicates." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 68, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1013", + "issue:1084", + "issue:11033", + "issue:11396", + "issue:1214", + "issue:12141", + "issue:1398", + "issue:1495", + "issue:1572", + "issue:1931", + "issue:2645", + "issue:2769", + "issue:2806", + "issue:2875", + "issue:3045", + "issue:3124", + "issue:3140", + "issue:3348", + "issue:3379", + "issue:3619", + "issue:3803", + "issue:4302", + "issue:4460", + "issue:4724", + "issue:4726", + "issue:4885", + "issue:4925", + "issue:499", + "issue:5016", + "issue:5219", + "issue:5578", + "issue:639", + "issue:6427", + "issue:6584", + "issue:6699", + "issue:7057", + "issue:7197", + "issue:7283", + "issue:7293", + "issue:7432", + "issue:7466", + "issue:7681", + "issue:771", + "issue:9067", + "issue:9092", + "issue:9179", + "issue:9841", + "issue:9861" + ], + "soft_pairs": [ + "issue:1398|issue:1931", + "issue:11396|issue:7283", + "issue:1214|issue:6427", + "issue:1495|issue:3140", + "issue:1572|issue:2806", + "issue:4925|issue:9179", + "issue:639|issue:7057", + "issue:5219|issue:6584", + "issue:1084|issue:7293", + "issue:2769|issue:3045", + "issue:3124|issue:3619", + "issue:4460|issue:7432", + "issue:7681|issue:9067", + "issue:2875|issue:7197", + "issue:11033|issue:499", + "issue:4726|issue:6699", + "issue:2645|issue:7466", + "issue:3348|issue:9841", + "issue:3379|issue:5016", + "issue:3803|issue:9861", + "issue:5578|issue:9092", + "issue:4302|issue:4885", + "issue:1013|issue:4724", + "issue:12141|issue:771" + ], + "prepared_review_unit_hash": "ce16779becd5f5decfe9e92f80782c7d27fa6a7aa58a2ee6eaf03d8e0b653c30", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34102, + "estimated_input_tokens": 8526, + "estimated_eval_tokens": 17308 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly a loose collection of unrelated Diffusers issues. I do not see any soft pair that is clearly the same underlying bug or change, so I reject all candidate duplicate links. The closest thematic overlap is around Stable Diffusion pipeline failures, but the concrete failure modes still differ.", + "confidence": 0.34, + "canonical_issue_reason": "issue:1572 is the best representative of the most coherent subtopic here: StableDiffusionMega pipeline breakage. It is more explicit about the affected pipeline and failure modes than the older, more generic 1013 report.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:1572 is the strongest global issue pick because it is the clearest, most descriptive pipeline-failure report among the candidates and could plausibly anchor nearby Stable Diffusion mega-pipeline reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1398", + "right": "issue:1931", + "accept": false, + "reason": "Both involve Stable Diffusion 2 and numeric precision/device problems, but one is MPS support and the other is float16 dtype mismatch; different bugs." + }, + { + "left": "issue:11396", + "right": "issue:7283", + "accept": false, + "reason": "Both are LoRA-loading questions, but they target different model families and different workflows; not the same bug." + }, + { + "left": "issue:1214", + "right": "issue:6427", + "accept": false, + "reason": "CLIP half-precision failure is unrelated to model conversion from diffusers to ckpt." + }, + { + "left": "issue:1495", + "right": "issue:3140", + "accept": false, + "reason": "Both are import errors, but they reference different symbols/modules and distinct breakages." + }, + { + "left": "issue:1572", + "right": "issue:2806", + "accept": false, + "reason": "StableDiffusionMega pipeline img2img/inpainting failure is unrelated to custom pipeline printing/representation." + }, + { + "left": "issue:4925", + "right": "issue:9179", + "accept": false, + "reason": "Both mention SDXL controlnet training, but one is distributed OOM and the other is poor training quality; not the same concrete problem." + }, + { + "left": "issue:639", + "right": "issue:7057", + "accept": false, + "reason": "These are both model-related failures, but one is parameter initialization mismatch and the other is a generic broken checkpoint load." + }, + { + "left": "issue:5219", + "right": "issue:6584", + "accept": false, + "reason": "Both are model conversion/loading issues, but they concern different directions and different models; too broad to be the same bug." + }, + { + "left": "issue:1084", + "right": "issue:7293", + "accept": false, + "reason": "A documentation feature request is unrelated to an AudioLDM2 integration request." + }, + { + "left": "issue:2769", + "right": "issue:3045", + "accept": false, + "reason": "Both involve conversion, but one is full model ckpt round-tripping and the other is LoRA conversion; not the same code-path." + }, + { + "left": "issue:3124", + "right": "issue:3619", + "accept": false, + "reason": "Both say 'doesn't work', but they are about different pipelines and different functionality." + }, + { + "left": "issue:4460", + "right": "issue:7432", + "accept": false, + "reason": "Both discuss output differences, but they are broad result-comparison reports rather than the same underlying defect." + }, + { + "left": "issue:7681", + "right": "issue:9067", + "accept": false, + "reason": "Different import failures with different root causes; only superficially similar." + }, + { + "left": "issue:2875", + "right": "issue:7197", + "accept": false, + "reason": "Training NaNs and resume-training key errors are unrelated failures." + }, + { + "left": "issue:11033", + "right": "issue:499", + "accept": false, + "reason": "One is a single-file loading bug, the other is an unconditional training script issue." + }, + { + "left": "issue:4726", + "right": "issue:6699", + "accept": false, + "reason": "Both are type-hint complaints, but they refer to different callback parameters and different API surfaces." + }, + { + "left": "issue:2645", + "right": "issue:7466", + "accept": false, + "reason": "M1/CUDA import failure is unrelated to torch.compile behavior in SDXL multi-ControlNet inpaint." + }, + { + "left": "issue:3348", + "right": "issue:9841", + "accept": false, + "reason": "LoRA scale/xformers support and a DreamBooth SDXL LoRA TypeError are different bugs." + }, + { + "left": "issue:3379", + "right": "issue:5016", + "accept": false, + "reason": "DreamBooth intermediate checkpoint loading and SDXL text encoder training are different training issues." + }, + { + "left": "issue:3803", + "right": "issue:9861", + "accept": false, + "reason": "Both are training-related, but one is multi-GPU LoRA sharing and the other is Flux transformer update behavior; not the same fix." + }, + { + "left": "issue:5578", + "right": "issue:9092", + "accept": false, + "reason": "Both mention model_index.json, but the reported contexts and likely root causes differ; too weak to merge." + }, + { + "left": "issue:4302", + "right": "issue:4885", + "accept": false, + "reason": "Both concern LoRA loading, but one is a specific SDXL LoRA weight-loading report and the other is a ControlNet Img2Img pipeline issue." + }, + { + "left": "issue:1013", + "right": "issue:4724", + "accept": false, + "reason": "Both involve Stable Diffusion pipelines, but one is StableDiffusionMega in Diffusers 6.0 and the other is SDXL Img2Img with a base checkpoint; different failures." + }, + { + "left": "issue:12141", + "right": "issue:771", + "accept": false, + "reason": "Both are bf16/float16 precision issues, but they affect different components and training/inference paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 69, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1037", + "issue:10472", + "issue:10866", + "issue:11978", + "issue:1214", + "issue:122", + "issue:12535", + "issue:13035", + "issue:13043", + "issue:1463", + "issue:1572", + "issue:1817", + "issue:2774", + "issue:2830", + "issue:2973", + "issue:3045", + "issue:3224", + "issue:3481", + "issue:3487", + "issue:3497", + "issue:3816", + "issue:4080", + "issue:4086", + "issue:4183", + "issue:4279", + "issue:4399", + "issue:4520", + "issue:4701", + "issue:4835", + "issue:4852", + "issue:487", + "issue:5125", + "issue:5227", + "issue:5798", + "issue:6362", + "issue:6964", + "issue:7483", + "issue:7660", + "issue:7962", + "issue:8534", + "issue:8556", + "issue:8649", + "issue:9044", + "issue:9055", + "issue:955", + "issue:9576", + "issue:9911", + "issue:9914" + ], + "soft_pairs": [ + "issue:3497|issue:3816", + "issue:4183|issue:9911", + "issue:4701|issue:5125", + "issue:8556|issue:8649", + "issue:1037|issue:4080", + "issue:10866|issue:12535", + "issue:487|issue:7660", + "issue:4086|issue:4279", + "issue:122|issue:1463", + "issue:7962|issue:955", + "issue:13043|issue:4835", + "issue:1214|issue:6964", + "issue:3224|issue:8534", + "issue:4852|issue:9914", + "issue:3487|issue:9576", + "issue:7483|issue:9044", + "issue:1817|issue:5798", + "issue:2774|issue:3045", + "issue:11978|issue:2830", + "issue:2973|issue:3481", + "issue:10472|issue:6362", + "issue:4399|issue:5227", + "issue:13035|issue:9055", + "issue:1572|issue:4520" + ], + "prepared_review_unit_hash": "61251d6fc78e9fe0243860537ddd0c8d73742f368fd62b934619bc5a9050eb8e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34335, + "estimated_input_tokens": 8584, + "estimated_eval_tokens": 17424 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a loose cluster of mostly unrelated diffusers issues; the only recurring motif is LoRA/loading/import compatibility, but the soft pairs are still too specific to merge as duplicates. No PRs are present.", + "confidence": 0.24, + "canonical_issue_reason": "Issue 9055 is the cleanest anchor for the cluster: it is a concrete diffusers loader import regression with a precise failure mode, which makes it the best representative for nearby LoRA-loading complaints.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9055 is the most triage-friendly and broadly relevant issue among the set because it targets a core loading path and is clearly actionable.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3497", + "right": "issue:3816", + "accept": false, + "reason": "Different bugs: missing from_ckpt on an inpaint pipeline vs missing CLIPImageProcessor in transformers." + }, + { + "left": "issue:4183", + "right": "issue:9911", + "accept": false, + "reason": "Both are ControlNet-related, but one is a guidance_scale<=1 generation error and the other is a Flux multi-ControlNet layer-length mismatch." + }, + { + "left": "issue:4701", + "right": "issue:5125", + "accept": false, + "reason": "Different code paths: AutoencoderKL float32 CUDA differentiation failure vs XFormers attention invalid configuration argument." + }, + { + "left": "issue:8556", + "right": "issue:8649", + "accept": false, + "reason": "Both involve SD3, but one is a from_single_file meta-tensor copy error and the other is a num_images_per_prompt regression." + }, + { + "left": "issue:1037", + "right": "issue:4080", + "accept": false, + "reason": "One is a community-pipeline request for Stable Diffusion Telephone; the other is a request to add an SDXL inpainting pipeline." + }, + { + "left": "issue:10866", + "right": "issue:12535", + "accept": false, + "reason": "Both mention LoRA loading, but they are for different models and different failure modes, so not the same underlying bug." + }, + { + "left": "issue:487", + "right": "issue:7660", + "accept": false, + "reason": "M1 CPU support failure is unrelated to a generic trace example not working." + }, + { + "left": "issue:4086", + "right": "issue:4279", + "accept": false, + "reason": "Different problems: ControlNet training on SDXL base 0.9 vs loading SD-XL 0.9 LoRAs from CivitAI." + }, + { + "left": "issue:122", + "right": "issue:1463", + "accept": false, + "reason": "Separate missing-dependency issues: 'exceptions' module vs 'datasets' module." + }, + { + "left": "issue:7962", + "right": "issue:955", + "accept": false, + "reason": "Both are API feature requests, but they ask for different callback arguments and are not the same change." + }, + { + "left": "issue:13043", + "right": "issue:4835", + "accept": false, + "reason": "RTX 5090 sage_hub kernel-image failure is unrelated to the MultiControlNetModel bug in SDXL controlnet img2img." + }, + { + "left": "issue:1214", + "right": "issue:6964", + "accept": false, + "reason": "Half-precision CLIPTextModel issue and 4-channel UNet ControlNet inpaint issue are distinct failures." + }, + { + "left": "issue:3224", + "right": "issue:8534", + "accept": false, + "reason": "Both are training-related, but one is duplicated learning-rate scaling in Dreambooth LoRA and the other is SD3 logit-normal weighting." + }, + { + "left": "issue:4852", + "right": "issue:9914", + "accept": false, + "reason": "Generic LoRA loading error vs Flux/Xlabs-specific LoRA loading bug; related area, but not the same issue." + }, + { + "left": "issue:3487", + "right": "issue:9576", + "accept": false, + "reason": "Different concerns: scheduler strength producing poor results vs use_safetensors not propagating to submodules." + }, + { + "left": "issue:7483", + "right": "issue:9044", + "accept": false, + "reason": "LoRA conversion for SDXL 1.0 base is not the same as a missing diffusion_pytorch_model.bin file in the SDXL checkpoint repository." + }, + { + "left": "issue:1817", + "right": "issue:5798", + "accept": false, + "reason": "Two unrelated API keyword errors: get_scheduler(num_cycles) vs callback_on_step_end." + }, + { + "left": "issue:2774", + "right": "issue:3045", + "accept": false, + "reason": "Both involve conversion utilities, but controlnet safetensors conversion and LoRA conversion are different concrete tasks." + }, + { + "left": "issue:11978", + "right": "issue:2830", + "accept": false, + "reason": "A pipeline addition request for Bria 3.2 is unrelated to a question about using ModelScope video models." + }, + { + "left": "issue:2973", + "right": "issue:3481", + "accept": false, + "reason": "Both discuss generation behavior, but one is CPU offload determinism and the other is inference-step-dependent image differences with DDIM." + }, + { + "left": "issue:10472", + "right": "issue:6362", + "accept": false, + "reason": "LoRA bias keyword error and SDXL dataset-mapping OOM are unrelated issues." + }, + { + "left": "issue:4399", + "right": "issue:5227", + "accept": false, + "reason": "Both involve torch.compile interactions, but one is CPU offload incompatibility and the other is LoRA weight loading; not the same bug." + }, + { + "left": "issue:13035", + "right": "issue:9055", + "accept": false, + "reason": "Both are import errors, but they involve different symbols from different libraries ('MT5Tokenizer' vs 'StableDiffusionLoraLoaderMixin')." + }, + { + "left": "issue:1572", + "right": "issue:4520", + "accept": false, + "reason": "A broken stable_diffusion_mega img2img/inpainting pipeline is unrelated to a LoRA scale kwarg issue with attention slicing." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 70, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10169", + "issue:10382", + "issue:10472", + "issue:10722", + "issue:10848", + "issue:10869", + "issue:11864", + "issue:12009", + "issue:12492", + "issue:1255", + "issue:1500", + "issue:1534", + "issue:1536", + "issue:1842", + "issue:1905", + "issue:2276", + "issue:2578", + "issue:2984", + "issue:3152", + "issue:4210", + "issue:4324", + "issue:4368", + "issue:4492", + "issue:4932", + "issue:499", + "issue:5022", + "issue:5028", + "issue:5125", + "issue:5274", + "issue:5678", + "issue:6700", + "issue:7114", + "issue:730", + "issue:7708", + "issue:771", + "issue:7731", + "issue:7801", + "issue:7931", + "issue:7985", + "issue:8494", + "issue:858", + "issue:867", + "issue:9267", + "issue:9448", + "issue:9497", + "issue:9576", + "issue:9913" + ], + "soft_pairs": [ + "issue:2578|issue:499", + "issue:1255|issue:3152", + "issue:10382|issue:9267", + "issue:6700|issue:9576", + "issue:10472|issue:5028", + "issue:10848|issue:5028", + "issue:2984|issue:7731", + "issue:10169|issue:7708", + "issue:1905|issue:867", + "issue:4932|issue:730", + "issue:5274|issue:7801", + "issue:1500|issue:1536", + "issue:4368|issue:7114", + "issue:5125|issue:5678", + "issue:1842|issue:8494", + "issue:1534|issue:2276", + "issue:771|issue:9913", + "issue:10722|issue:9497", + "issue:11864|issue:7985", + "issue:10869|issue:12009", + "issue:4210|issue:4324", + "issue:4492|issue:5022", + "issue:12492|issue:858", + "issue:7931|issue:9448" + ], + "prepared_review_unit_hash": "a8fa0aee45e156c0e3653b438e3a6927404176427cf278de5a81ecc9404053d8", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 34033, + "estimated_input_tokens": 8509, + "estimated_eval_tokens": 17274 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Only one soft pair looks like a true duplicate: the lpw_stable_diffusion / diffusers version incompatibility reports. The rest are distinct bugs, API mismatches, or performance issues, not the same underlying change. No PRs are present.", + "confidence": 0.88, + "canonical_issue_reason": "Issue 1500 is the best canonical issue for the only clear duplicate set because it names the exact lpw_stable_diffusion pipeline and the diffusers version incompatibility explicitly.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1500 is the strongest representative issue in this cluster: it is concrete, narrowly scoped, and directly matches its duplicate counterpart.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2578", + "right": "issue:499", + "accept": false, + "reason": "Editable-install failure and an unconditional training script failure are different code paths and different bugs." + }, + { + "left": "issue:1255", + "right": "issue:3152", + "accept": false, + "reason": "Scheduler import error in diffusers is unrelated to a TensorFlow Lite analyzer wrapper import failure." + }, + { + "left": "issue:10382", + "right": "issue:9267", + "accept": false, + "reason": "VAE encoder return-type mismatch and missing rope attribute in Flux transformer are distinct model issues." + }, + { + "left": "issue:6700", + "right": "issue:9576", + "accept": false, + "reason": "Passing unexpected temb to attention processors is unrelated to use_safetensors propagation during pipeline loading." + }, + { + "left": "issue:10472", + "right": "issue:5028", + "accept": false, + "reason": "Unexpected lora_bias kwarg during LoRA inference does not match an unexpected scale kwarg in a hacked SDXL reference block forward." + }, + { + "left": "issue:10848", + "right": "issue:5028", + "accept": false, + "reason": "load_model_dict_into_meta(device=...) for IP-Adapters is a different loader API issue than the scale kwarg error." + }, + { + "left": "issue:2984", + "right": "issue:7731", + "accept": false, + "reason": "These are different long-video generation projects/papers, not the same bug or change." + }, + { + "left": "issue:10169", + "right": "issue:7708", + "accept": false, + "reason": "Generic config.json not found and missing tokenizer/config.json for SDXL are similar symptoms but not the same concrete failure." + }, + { + "left": "issue:1905", + "right": "issue:867", + "accept": false, + "reason": "Both mention GPU memory, but one is StableDiffusionPipeline cleanup and the other is FastAPI memory retention; too broad to merge." + }, + { + "left": "issue:4932", + "right": "issue:730", + "accept": false, + "reason": "Missing pytorch_model.bin after DreamBooth and DreamBooth learning differently on local vs Colab are separate problems." + }, + { + "left": "issue:5274", + "right": "issue:7801", + "accept": false, + "reason": "Mixed-precision dtype mismatch and model not being fp16 are related symptoms but not the same underlying bug." + }, + { + "left": "issue:1500", + "right": "issue:1536", + "accept": true, + "reason": "Both report lpw_stable_diffusion breaking with newer diffusers versions; they describe the same compatibility regression." + }, + { + "left": "issue:4368", + "right": "issue:7114", + "accept": false, + "reason": "Different training OOM reports in different scripts/configurations, not one specific fixable bug." + }, + { + "left": "issue:5125", + "right": "issue:5678", + "accept": false, + "reason": "xFormers CUDA kernel configuration error and higher-order derivative failure in scaled_dot_product_attention are different code paths." + }, + { + "left": "issue:1842", + "right": "issue:8494", + "accept": false, + "reason": "Unexpected eta kwarg and unexpected force_hooks kwarg are different API mismatch reports." + }, + { + "left": "issue:1534", + "right": "issue:2276", + "accept": false, + "reason": "DreamBooth notebook training error and xformers installation failure are separate notebook/setup issues." + }, + { + "left": "issue:771", + "right": "issue:9913", + "accept": false, + "reason": "BF16 DreamBooth support and set_lora_device behavior are unrelated issues." + }, + { + "left": "issue:10722", + "right": "issue:9497", + "accept": false, + "reason": "Prior-preservation tensor shape mismatch and Flux DreamBooth mat2 shape error are different training failures." + }, + { + "left": "issue:11864", + "right": "issue:7985", + "accept": false, + "reason": "torch.compile failing in AutoencoderDC.encode and IP-Adapter compile incompatibility are not the same concrete bug." + }, + { + "left": "issue:10869", + "right": "issue:12009", + "accept": false, + "reason": "Both involve meta tensors, but one is a tensor.item() failure and the other is a copy-out-of-meta-tensor loading failure for a different model." + }, + { + "left": "issue:4210", + "right": "issue:4324", + "accept": false, + "reason": "Attention_mask usage in UNet2DConditionModel and a NoneType iterable error are different forward-path bugs." + }, + { + "left": "issue:4492", + "right": "issue:5022", + "accept": false, + "reason": "false/False NameError is unrelated to the missing PreTrainedTokenizer import error." + }, + { + "left": "issue:12492", + "right": "issue:858", + "accept": false, + "reason": "Missing CLIPFeatureExtractor in transformers and Parameter lacking named_children are unrelated attribute errors." + }, + { + "left": "issue:7931", + "right": "issue:9448", + "accept": false, + "reason": "Both involve IP-Adapter plus inpaint pipelines, but the specific failures and triggering arguments differ enough that they do not look like the same bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: the only accepted soft pair is the clearly matching lpw_stable_diffusion / diffusers compatibility duplicate set, and the rest are conservatively rejected as distinct bugs or API mismatches. No PR pairs are present, so there is nothing to assess for mergeability." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 71, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10154", + "issue:10594", + "issue:10650", + "issue:10940", + "issue:10969", + "issue:11464", + "issue:11581", + "issue:11922", + "issue:122", + "issue:12656", + "issue:1552", + "issue:1604", + "issue:1720", + "issue:1985", + "issue:2091", + "issue:2480", + "issue:2548", + "issue:259", + "issue:2871", + "issue:2891", + "issue:3382", + "issue:3565", + "issue:3774", + "issue:3811", + "issue:4080", + "issue:4593", + "issue:5006", + "issue:5227", + "issue:5565", + "issue:5606", + "issue:5621", + "issue:5846", + "issue:5860", + "issue:5894", + "issue:6146", + "issue:6366", + "issue:6894", + "issue:7228", + "issue:746", + "issue:7483", + "issue:7690", + "issue:7985", + "issue:861", + "issue:8939", + "issue:9362", + "issue:9643", + "issue:9911", + "issue:9973" + ], + "soft_pairs": [ + "issue:5621|issue:7483", + "issue:6366|issue:6894", + "issue:11464|issue:11581", + "issue:10650|issue:5894", + "issue:861|issue:8939", + "issue:10594|issue:11922", + "issue:10940|issue:122", + "issue:10969|issue:9911", + "issue:1985|issue:4080", + "issue:259|issue:2871", + "issue:2891|issue:9643", + "issue:11464|issue:4593", + "issue:3565|issue:5846", + "issue:5006|issue:9973", + "issue:10154|issue:3811", + "issue:1552|issue:5860", + "issue:746|issue:7690", + "issue:2480|issue:5565", + "issue:1720|issue:2548", + "issue:5227|issue:7985", + "issue:3382|issue:5006", + "issue:12656|issue:9362", + "issue:1604|issue:3774", + "issue:2091|issue:6146", + "issue:5606|issue:7228" + ], + "prepared_review_unit_hash": "f0ecf056405720677c266ec7c7ec45ddfe2e3b271b589ef39a4f7819c28542c8", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34777, + "estimated_input_tokens": 8695, + "estimated_eval_tokens": 17646 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly loosely related ML pipeline issues, but none of the soft pairs look like true duplicates; they share broad themes like LoRA, FLUX, ControlNet, or training, not the same concrete bug.", + "confidence": 0.9, + "canonical_issue_reason": "Issue 3811 is the best anchor because it is a clear, specific load_lora_weights bug and is central to the LoRA-loading theme that appears repeatedly in this cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 3811 is the strongest representative issue: it names the core API directly and describes a concrete symptom, making it the most canonical single issue among the candidates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5621", + "right": "issue:7483", + "accept": false, + "reason": "Different problems: ControlNet encoder_hid_proj support vs LoRA-to-Diffusers conversion for SDXL." + }, + { + "left": "issue:6366", + "right": "issue:6894", + "accept": false, + "reason": "Checkpoint resume/loading bug vs LoRA not working in A1111; related training area but not the same defect." + }, + { + "left": "issue:11464", + "right": "issue:11581", + "accept": false, + "reason": "Both are FLUX loading issues, but one is a Canny LoRA load failure and the other is an IP-Adapter dtype constructor error." + }, + { + "left": "issue:10650", + "right": "issue:5894", + "accept": false, + "reason": "Both are runtime errors, but they involve different models and unrelated failure modes." + }, + { + "left": "issue:861", + "right": "issue:8939", + "accept": false, + "reason": "Model conversion failure vs tokenizer-loading OSError; different code paths and symptoms." + }, + { + "left": "issue:10594", + "right": "issue:11922", + "accept": false, + "reason": "Multiple ControlNets with LoRA on FLUX vs a general FLUX Fill runtime problem; not the same bug." + }, + { + "left": "issue:10940", + "right": "issue:122", + "accept": false, + "reason": "Unrelated import errors in different eras and modules." + }, + { + "left": "issue:10969", + "right": "issue:9911", + "accept": false, + "reason": "Training weight-shape failure vs multi-ControlNet FLUX layer-length mismatch; different concrete errors." + }, + { + "left": "issue:1985", + "right": "issue:4080", + "accept": false, + "reason": "Loading new embeddings vs adding an inpainting pipeline; same broad project area only." + }, + { + "left": "issue:259", + "right": "issue:2871", + "accept": false, + "reason": "Progress bar fix vs latent output handling in inpainting; unrelated behaviors." + }, + { + "left": "issue:2891", + "right": "issue:9643", + "accept": false, + "reason": "Docs/feature mismatch for embeddings vs FLUX multiple-ControlNet support; not the same issue." + }, + { + "left": "issue:11464", + "right": "issue:4593", + "accept": false, + "reason": "Both mention LoRA loading, but the errors and affected pipelines are different: FLUX pipeline load vs rank-too-high validation." + }, + { + "left": "issue:3565", + "right": "issue:5846", + "accept": false, + "reason": "Training OOM vs checkpoint resume error; different failure modes." + }, + { + "left": "issue:5006", + "right": "issue:9973", + "accept": false, + "reason": "Memory/end-of-training BF16 OOM vs FP16 gradient unscale error; unrelated training problems." + }, + { + "left": "issue:10154", + "right": "issue:3811", + "accept": false, + "reason": "Both touch load_lora_weights, but one is an attribute-error prompt and the other is LoRA loading with no generation effect; not clearly the same bug." + }, + { + "left": "issue:1552", + "right": "issue:5860", + "accept": false, + "reason": "Attention slicing on SD2 vs tiny autoencoder + ControlNet pipeline failure; different subsystems." + }, + { + "left": "issue:746", + "right": "issue:7690", + "accept": false, + "reason": "ONNX model loading issue vs tokenizer loading issue." + }, + { + "left": "issue:2480", + "right": "issue:5565", + "accept": false, + "reason": "Checkpoint directory layout bug vs inability to run a LoRA DreamBooth example." + }, + { + "left": "issue:1720", + "right": "issue:2548", + "accept": false, + "reason": "M1 Pro finetuning errors vs LoRA saving error; too broad to be duplicate." + }, + { + "left": "issue:5227", + "right": "issue:7985", + "accept": false, + "reason": "Both involve torch.compile, but LoRA loading and IP-Adapter compatibility are distinct concrete problems." + }, + { + "left": "issue:12656", + "right": "issue:9362", + "accept": false, + "reason": "Different model families and likely different positional/index errors." + }, + { + "left": "issue:1604", + "right": "issue:3774", + "accept": false, + "reason": "Broken script under a package version vs zero3 memory-saving behavior; unrelated." + }, + { + "left": "issue:2091", + "right": "issue:6146", + "accept": false, + "reason": "Both are multi-GPU training issues, but one is checkpoint resume and the other is general accelerate training." + }, + { + "left": "issue:5606", + "right": "issue:7228", + "accept": false, + "reason": "LoRA alpha handling vs traced-model dtype attribute error; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 72, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10266", + "issue:10512", + "issue:10575", + "issue:10738", + "issue:10833", + "issue:1100", + "issue:11088", + "issue:11218", + "issue:11298", + "issue:11370", + "issue:11474", + "issue:12009", + "issue:12414", + "issue:1264", + "issue:13035", + "issue:13067", + "issue:1974", + "issue:2674", + "issue:2871", + "issue:2880", + "issue:2995", + "issue:3689", + "issue:4073", + "issue:4286", + "issue:4304", + "issue:4630", + "issue:5227", + "issue:5455", + "issue:5617", + "issue:5862", + "issue:5873", + "issue:6158", + "issue:6298", + "issue:6382", + "issue:639", + "issue:6607", + "issue:6996", + "issue:7185", + "issue:7276", + "issue:7418", + "issue:7483", + "issue:7485", + "issue:776", + "issue:7782", + "issue:7799", + "issue:9180", + "issue:9341" + ], + "soft_pairs": [ + "issue:5455|issue:7276", + "issue:1974|issue:2674", + "issue:4286|issue:7483", + "issue:6996|issue:7485", + "issue:11298|issue:6382", + "issue:5227|issue:5617", + "issue:11088|issue:12009", + "issue:10266|issue:11474", + "issue:10512|issue:9341", + "issue:10575|issue:10738", + "issue:10833|issue:2995", + "issue:1100|issue:9180", + "issue:11218|issue:13035", + "issue:11370|issue:7782", + "issue:12414|issue:4304", + "issue:1264|issue:6607", + "issue:13067|issue:6158", + "issue:2871|issue:776", + "issue:2880|issue:639", + "issue:3689|issue:4630", + "issue:4073|issue:6298", + "issue:5862|issue:7185", + "issue:5873|issue:7418", + "issue:6382|issue:7799" + ], + "prepared_review_unit_hash": "c05351032bd4e782e342f16c46fd7845008c4089898892a0def7d5dbd419a67d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33680, + "estimated_input_tokens": 8420, + "estimated_eval_tokens": 17096 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not one duplicate cluster: the soft-paired issues only share generic terms like \"LoRA\", \"load\", or \"index out of bounds\", but they describe different code paths, models, and failure modes. None of the candidate edges should be merged.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue is appropriate; the items span unrelated bugs and feature requests across schedulers, LoRA loading, conversion scripts, and pipeline/model-specific errors.", + "canonical_pr_reason": "No pull requests are present in the cluster.", + "best_issue_reason": "No item is a strong global canonical issue because the cluster is heterogeneous and the apparent similarities are superficial rather than the same underlying defect.", + "best_pr_reason": "No pull requests are present in the cluster.", + "soft_edge_verdicts": [ + { + "left": "issue:5455", + "right": "issue:7276", + "accept": false, + "reason": "Both mention dreambooth/example runs, but one is a subprocess failure and the other is a network error with a downloaded pretrained model; different underlying problems." + }, + { + "left": "issue:1974", + "right": "issue:2674", + "accept": false, + "reason": "One is about Euler schedulers and generator lists for reproducibility; the other is about missing safetensors dependency for LoRA loading. Different bugs." + }, + { + "left": "issue:4286", + "right": "issue:7483", + "accept": false, + "reason": "Both involve LoRA loading, but SDXL load_lora_weights and LoRA-to-Diffusers conversion for SDXL base models are distinct failure paths." + }, + { + "left": "issue:6996", + "right": "issue:7485", + "accept": false, + "reason": "These are different NoneType/TypeError cases in different pipelines and code paths; same broad symptom class, not the same bug." + }, + { + "left": "issue:11298", + "right": "issue:6382", + "accept": false, + "reason": "One is about hotswapping multiple LoRAs causing a PEFT key error; the other is an IP-Adapter key error after training an SDXL LCM LoRA. Different mechanisms." + }, + { + "left": "issue:5227", + "right": "issue:5617", + "accept": false, + "reason": "Both touch torch.compile, but one is load_lora_weight under compile and the other is saving/loading a compiled ControlNet pipeline. Not the same fix." + }, + { + "left": "issue:11088", + "right": "issue:12009", + "accept": false, + "reason": "Both concern Wan/GGUF loading, but one is a transformer gguf load error and the other is a from_single_file meta-tensor copy failure for Wan2.2 GGUF. Distinct code paths." + }, + { + "left": "issue:10266", + "right": "issue:11474", + "accept": false, + "reason": "Both are index out-of-bounds errors, but they refer to different schedulers/models and different indices/sizes. Not enough to treat as one defect." + }, + { + "left": "issue:10512", + "right": "issue:9341", + "accept": false, + "reason": "One is a Flux LoRA loading issue for Quanto; the other is a Flux LoRA containing text_model LoRA weights. Same general area, different concrete incompatibility." + }, + { + "left": "issue:10575", + "right": "issue:10738", + "accept": false, + "reason": "Both mention out-of-bounds indexing in schedulers, but one is a DPMSolverMultistepScheduler index error and the other is a general sigma index issue. Too vague to merge." + }, + { + "left": "issue:10833", + "right": "issue:2995", + "accept": false, + "reason": "One is a FluxFillPipeline quantization/matrix multiplication problem; the other is a generic matmul shape mismatch in a different context. Different root causes." + }, + { + "left": "issue:1100", + "right": "issue:9180", + "accept": false, + "reason": "The CLIPTextTransformer device attribute issue is unrelated to the pipeline missing _execution_device attribute." + }, + { + "left": "issue:11218", + "right": "issue:13035", + "accept": false, + "reason": "Both are import errors, but they involve different missing symbols from different packages: CogView4LoraLoaderMixin vs MT5Tokenizer." + }, + { + "left": "issue:11370", + "right": "issue:7782", + "accept": false, + "reason": "Both are conversion/unpickling errors, but one is for hunyuan video conversion and the other is a safetensors conversion invalid load key. Different file formats/workflows." + }, + { + "left": "issue:12414", + "right": "issue:4304", + "accept": false, + "reason": "One is a validation/metrics feature request for text-to-image LoRA; the other is a request for SDXL Text-to-Image LoRA training support. Not duplicates." + }, + { + "left": "issue:1264", + "right": "issue:6607", + "accept": false, + "reason": "The first asks about a hard-coded noise scheduler in dreambooth training; the second is a clarification on a scheduler mismatch in train_controlnet.py. Related theme, different issue." + }, + { + "left": "issue:13067", + "right": "issue:6158", + "accept": false, + "reason": "Both are feature requests, but one asks for Anima support and the other for SDXL support in animatediff. Different requested capabilities." + }, + { + "left": "issue:2871", + "right": "issue:776", + "accept": false, + "reason": "Both concern image-to-image/inpainting behavior, but one is about latent output handling in inpainting and the other about batch_size > 1 in img2img. Different bugs." + }, + { + "left": "issue:2880", + "right": "issue:639", + "accept": false, + "reason": "JAX Colab runtime failure is unrelated to latent diffusion parameter initialization mismatch; only loosely connected by SD-related terminology." + }, + { + "left": "issue:3689", + "right": "issue:4630", + "accept": false, + "reason": "Both concern LoRA weights, but one asks how to unload them and the other how to modify them after loading. Different functionality requests." + }, + { + "left": "issue:4073", + "right": "issue:6298", + "accept": false, + "reason": "These are unrelated attribute/type errors in different pipelines: DeepFloyd IF safety checker vs GLIGEN CLIPImageProjection." + }, + { + "left": "issue:5862", + "right": "issue:7185", + "accept": false, + "reason": "Gradient checkpointing support for Transformer2DModel is unrelated to the question of whether diffusers supports PyTorch 2.2.0." + }, + { + "left": "issue:5873", + "right": "issue:7418", + "accept": false, + "reason": "ONNX export failure for scaled_dot_product_attention is unrelated to a bug in a community upscale LDM3D pipeline file." + }, + { + "left": "issue:6382", + "right": "issue:7799", + "accept": false, + "reason": "Both involve adapter-related shape/key issues, but one is an IP-Adapter key error after LCM LoRA training and the other is a matmul size mismatch in InstructPix2Pix with IP-Adapter. Different paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 73, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10049", + "issue:1962", + "issue:200", + "issue:201", + "issue:2015", + "issue:202", + "issue:2272", + "issue:2838", + "issue:338", + "issue:339", + "issue:3580", + "issue:3593", + "issue:3728", + "issue:3970", + "issue:4109", + "issue:4241", + "issue:4312", + "issue:4375", + "issue:4399", + "issue:5227", + "issue:6096", + "issue:6331", + "issue:6423", + "issue:6549", + "issue:6811", + "issue:6818", + "issue:692", + "issue:7146", + "issue:7147", + "issue:7168", + "issue:7303", + "issue:7766", + "issue:7799", + "issue:8307", + "issue:8577", + "issue:8655", + "issue:8667", + "issue:8700", + "issue:8710", + "issue:8788", + "issue:8813", + "issue:8975", + "issue:9067", + "issue:9115", + "issue:9448", + "issue:945", + "issue:9497", + "issue:9501" + ], + "soft_pairs": [ + "issue:7146|issue:9115", + "issue:7168|issue:7766", + "issue:7799|issue:9448", + "issue:8307|issue:9067", + "issue:4312|issue:6331", + "issue:4241|issue:692", + "issue:338|issue:339", + "issue:200|issue:201", + "issue:4241|issue:7303", + "issue:4375|issue:4399", + "issue:3580|issue:3593", + "issue:201|issue:202", + "issue:2272|issue:945", + "issue:3970|issue:4109", + "issue:8577|issue:8813", + "issue:8700|issue:8710", + "issue:9497|issue:9501", + "issue:2015|issue:3728", + "issue:6549|issue:6818", + "issue:8667|issue:8788", + "issue:2838|issue:6423", + "issue:2838|issue:7303", + "issue:10049|issue:7147", + "issue:1962|issue:3728", + "issue:5227|issue:6096", + "issue:6811|issue:8655", + "issue:10049|issue:8975" + ], + "prepared_review_unit_hash": "0aeef8e38a1472e3071fc158fe59b038ffd14139754a1add4f0d372b23546fec", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 34029, + "estimated_input_tokens": 8508, + "estimated_eval_tokens": 17272 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issues across different pipelines and bug classes. The SAG inpainting pair is closely related, but the available evidence is not enough to treat it as a confirmed duplicate/subsumption, so it should stay rejected as a soft edge.", + "confidence": 0.81, + "canonical_issue_reason": "issue:4312 is the broadest SAG-related request in the set, covering inpainting plus img2img, so it is the best umbrella representative without assuming it fully subsumes 6331.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:4312 is the best global issue representative because it is the most general SAG request among the issues, even though the evidence does not justify merging it with 6331 as a duplicate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7146", + "right": "issue:9115", + "accept": false, + "reason": "Different failures and code paths: SDXL fine-tuning CUDA OOM vs AnimateDiff-Lightning / motion adapter inference error." + }, + { + "left": "issue:7168", + "right": "issue:7766", + "accept": false, + "reason": "Both involve IP-Adapter, but one asks about image embeddings while the other is a FaceID Plus usage question; not the same bug." + }, + { + "left": "issue:7799", + "right": "issue:9448", + "accept": false, + "reason": "Both are IP-Adapter-related, but they fail differently in different pipelines: matmul size mismatch vs tuple.shape AttributeError." + }, + { + "left": "issue:8307", + "right": "issue:9067", + "accept": false, + "reason": "Unrelated import errors for different symbols/modules: StableCascadeUNet missing vs diffusers.hub_utils missing." + }, + { + "left": "issue:4312", + "right": "issue:6331", + "accept": false, + "reason": "Closely related SAG inpainting requests, but the evidence only supports a broader/narrower relationship, not a clear duplicate or subsumption." + }, + { + "left": "issue:4241", + "right": "issue:692", + "accept": false, + "reason": "General fine-tuning support question vs a request for an example; not the same issue." + }, + { + "left": "issue:338", + "right": "issue:339", + "accept": false, + "reason": "Different test requests for different schedulers (LMS Discrete vs Karras VE)." + }, + { + "left": "issue:200", + "right": "issue:201", + "accept": false, + "reason": "Different test targets: resnet class vs attention class." + }, + { + "left": "issue:4241", + "right": "issue:7303", + "accept": false, + "reason": "Fine-tuning/LoRA question is unrelated to scheduler zero_snr behavior from from_pretrained." + }, + { + "left": "issue:4375", + "right": "issue:4399", + "accept": false, + "reason": "Both mention torch.compile, but they describe different failures: generic inference crash vs CPU offload incompatibility." + }, + { + "left": "issue:3580", + "right": "issue:3593", + "accept": false, + "reason": "Related xformers/torch 2.0 area, but the concrete failures differ: general TypeError vs LoRA second-call failure." + }, + { + "left": "issue:201", + "right": "issue:202", + "accept": false, + "reason": "Different test additions for different files/components." + }, + { + "left": "issue:2272", + "right": "issue:945", + "accept": false, + "reason": "Same ONNX converter area, but one is a conversion failure and the other is custom checkpoint support; not the same concrete bug." + }, + { + "left": "issue:3970", + "right": "issue:4109", + "accept": false, + "reason": "Different SDXL issues: prompt embeddings not working vs inpaint pipeline not working." + }, + { + "left": "issue:8577", + "right": "issue:8813", + "accept": false, + "reason": "Same technique name but different model-specific requests (SD3 vs Kolors), so not the same underlying change." + }, + { + "left": "issue:8700", + "right": "issue:8710", + "accept": false, + "reason": "Both are PAG requests, but for different pipelines/models and not one concrete fix." + }, + { + "left": "issue:9497", + "right": "issue:9501", + "accept": false, + "reason": "Distinct Dreambooth Flux training problems: mat2 shape error vs delayed model saving." + }, + { + "left": "issue:2015", + "right": "issue:3728", + "accept": false, + "reason": "Different pipeline proposals: categorical diffusion vs shifted diffusion text-to-image." + }, + { + "left": "issue:6549", + "right": "issue:6818", + "accept": false, + "reason": "Both involve IP-Adapter/LoRA, but one is warning logs and the other is an unload-method construction error." + }, + { + "left": "issue:8667", + "right": "issue:8788", + "accept": false, + "reason": "Both concern non-power-of-two SD3 images, but one is a ControlNet tensor mismatch and the other is a VAE tiling support question." + }, + { + "left": "issue:2838", + "right": "issue:6423", + "accept": false, + "reason": "Unrelated topics: controlnet pipeline behavior vs inability to reproduce fill50k results." + }, + { + "left": "issue:2838", + "right": "issue:7303", + "accept": false, + "reason": "No shared underlying bug; the controlnet request is unrelated to scheduler zero_snr behavior." + }, + { + "left": "issue:10049", + "right": "issue:7147", + "accept": false, + "reason": "Different import errors for different pipeline classes, so they are not the same bug." + }, + { + "left": "issue:1962", + "right": "issue:3728", + "accept": false, + "reason": "Different feature requests: video generation with stable diffusion vs a shifted diffusion text-to-image pipeline." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The clustering is mostly conservative, but one edge is too strong for the evidence provided: issue:4312 vs issue:6331 is marked accept=true and described as an \"accepted duplicate pair\" even though the packet only gives titles/body lengths and the pair is not deterministically accepted. At this level of evidence it is safer to call them closely related or a likely parent/narrower pair, not a clear duplicate/subsumption. The rest of the verdicts look appropriately cautious." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 74, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10798", + "issue:10833", + "issue:10940", + "issue:12412", + "issue:13232", + "issue:1572", + "issue:1677", + "issue:202", + "issue:2984", + "issue:3094", + "issue:337", + "issue:338", + "issue:339", + "issue:3432", + "issue:3453", + "issue:3706", + "issue:3728", + "issue:4042", + "issue:4185", + "issue:4206", + "issue:4305", + "issue:4356", + "issue:4731", + "issue:4779", + "issue:4828", + "issue:5227", + "issue:5314", + "issue:5433", + "issue:5689", + "issue:5889", + "issue:6069", + "issue:6232", + "issue:6914", + "issue:7209", + "issue:7243", + "issue:7330", + "issue:7681", + "issue:7690", + "issue:7716", + "issue:7931", + "issue:8493", + "issue:8589", + "issue:8723", + "issue:8827", + "issue:8828", + "issue:9148", + "issue:9202", + "issue:993" + ], + "soft_pairs": [ + "issue:7931|issue:9202", + "issue:5433|issue:5689", + "issue:4731|issue:5227", + "issue:5314|issue:9148", + "issue:8493|issue:8723", + "issue:4185|issue:4206", + "issue:7690|issue:7716", + "issue:1572|issue:337", + "issue:3706|issue:3728", + "issue:3728|issue:4779", + "issue:6914|issue:8827", + "issue:3094|issue:3453", + "issue:10940|issue:7681", + "issue:2984|issue:7243", + "issue:3432|issue:7330", + "issue:12412|issue:13232", + "issue:4305|issue:4356", + "issue:1677|issue:993", + "issue:4828|issue:7209", + "issue:4042|issue:5314", + "issue:202|issue:338", + "issue:202|issue:339", + "issue:8589|issue:8828", + "issue:2984|issue:5889", + "issue:6069|issue:6232", + "issue:10798|issue:10833" + ], + "prepared_review_unit_hash": "226523d36011914e6d475d0f2928a9b144698f6541626a320c4a18cbb8ca144a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34501, + "estimated_input_tokens": 8626, + "estimated_eval_tokens": 17508 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a mixed set of largely unrelated issues. Only two soft pairs look like true duplicates: the DPM++/SDXL artifact reports and the from_single_file offline loading ConnectionErrors. No PRs are present.", + "confidence": 0.71, + "canonical_issue_reason": "issue:5433 is the clearest representative of a real duplicate pair: its DPM++/SDXL visual-artifact symptom is directly echoed by issue:5689\u2019s residual-noise report.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5433 is the best issue candidate overall because it is concrete, user-facing, and the strongest duplicate signal in the set; it also has substantial discussion activity.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7931", + "right": "issue:9202", + "accept": false, + "reason": "Same general IP-Adapter/SDXL area, but different pipelines and failure modes; not the same concrete bug." + }, + { + "left": "issue:5433", + "right": "issue:5689", + "accept": true, + "reason": "Both report the same DPM++/SDXL output-quality bug: artifacts/residual noise without the refiner model." + }, + { + "left": "issue:4731", + "right": "issue:5227", + "accept": false, + "reason": "Both involve torch.compile, but one is multi-controlnet SDXL graph failure and the other is load_lora_weight behavior; different bugs." + }, + { + "left": "issue:5314", + "right": "issue:9148", + "accept": false, + "reason": "Different feature requests: ControlNet reference inpainting versus Flux inpainting support." + }, + { + "left": "issue:8493", + "right": "issue:8723", + "accept": false, + "reason": "Both concern SD3 model initialization/loading, but one is SD3Transformer2DModel state_dict loading and the other is SD3ControlNetModel construction; not the same issue." + }, + { + "left": "issue:4185", + "right": "issue:4206", + "accept": false, + "reason": "Both mention SDXL ControlNet, but one is black images at inference and the other is training being broken; different failures." + }, + { + "left": "issue:7690", + "right": "issue:7716", + "accept": false, + "reason": "Both are model-loading errors, but one is tokenizer loading and the other is missing config.json in a local directory." + }, + { + "left": "issue:1572", + "right": "issue:337", + "accept": false, + "reason": "Both mention img2img/inpainting, but the titles point to different pipelines and symptom scopes; not enough to treat as the same bug." + }, + { + "left": "issue:3706", + "right": "issue:3728", + "accept": false, + "reason": "Different model/pipeline proposals: Wuerstchen versus Shifted Diffusion." + }, + { + "left": "issue:3728", + "right": "issue:4779", + "accept": false, + "reason": "Unrelated features: text-to-image shifted diffusion versus image-to-video pipeline." + }, + { + "left": "issue:6914", + "right": "issue:8827", + "accept": false, + "reason": "Both are IP-Adapter-FaceID related, but one is an offload/tensor-shape AttributeError and the other is a generic usage error; not the same bug." + }, + { + "left": "issue:3094", + "right": "issue:3453", + "accept": false, + "reason": "Both are training/runtime errors, but the concrete failures differ: OOM versus bfloat16 triu/tril kernel support." + }, + { + "left": "issue:10940", + "right": "issue:7681", + "accept": false, + "reason": "Both are import failures, but they involve different missing dependencies and unrelated code paths." + }, + { + "left": "issue:2984", + "right": "issue:7243", + "accept": false, + "reason": "Different projects/features entirely: latent video diffusion versus ResAdapter." + }, + { + "left": "issue:3432", + "right": "issue:7330", + "accept": false, + "reason": "Both are fp16-related training errors, but they are different runtime failures in different scripts." + }, + { + "left": "issue:12412", + "right": "issue:13232", + "accept": false, + "reason": "Separate support requests for different models, not the same underlying change." + }, + { + "left": "issue:4305", + "right": "issue:4356", + "accept": false, + "reason": "Both are version-related regressions, but one is a torch.compile graph break and the other is a missing dummy module import." + }, + { + "left": "issue:1677", + "right": "issue:993", + "accept": false, + "reason": "Both mention dtype mismatches, but the contexts and failure modes are different." + }, + { + "left": "issue:4828", + "right": "issue:7209", + "accept": true, + "reason": "Both describe the same from_single_file network/loading regression, with issue:7209 spelling out the offline local safetensor ConnectionError variant." + }, + { + "left": "issue:4042", + "right": "issue:5314", + "accept": false, + "reason": "Related around reference/inpainting workflows, but one is a combination question and the other is a specific pipeline request." + }, + { + "left": "issue:202", + "right": "issue:338", + "accept": false, + "reason": "Completely unrelated test additions." + }, + { + "left": "issue:202", + "right": "issue:339", + "accept": false, + "reason": "Completely unrelated test additions." + }, + { + "left": "issue:8589", + "right": "issue:8828", + "accept": false, + "reason": "Different SD3 training problems: prior preservation versus a general 16GB training error." + }, + { + "left": "issue:6069", + "right": "issue:6232", + "accept": false, + "reason": "Both concern scheduler.add_noise, but they affect different schedulers and settings; not the same concrete bug." + }, + { + "left": "issue:10798", + "right": "issue:10833", + "accept": false, + "reason": "Both involve Flux plus bitsandbytes quantization, but one is a device-combination bug and the other is a matrix-shape multiplication error in FluxFillPipeline." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft-edge calls. The two accepted duplicate-like pairs are plausible from the titles, and the rejected pairs are reasonably distinguished by concrete failure mode or feature scope. No PRs are present, which is correctly noted." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 75, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10321", + "issue:1062", + "issue:1076", + "issue:11258", + "issue:1185", + "issue:12348", + "issue:12369", + "issue:12529", + "issue:13351", + "issue:1962", + "issue:2163", + "issue:2674", + "issue:3124", + "issue:3357", + "issue:3565", + "issue:3638", + "issue:3639", + "issue:3698", + "issue:4631", + "issue:4731", + "issue:4912", + "issue:5075", + "issue:5227", + "issue:5628", + "issue:5687", + "issue:6149", + "issue:6415", + "issue:6561", + "issue:6794", + "issue:7021", + "issue:7219", + "issue:7330", + "issue:7417", + "issue:7569", + "issue:7646", + "issue:7799", + "issue:8503", + "issue:8827", + "issue:8839", + "issue:9025", + "issue:9038", + "issue:9148", + "issue:9171", + "issue:9202", + "issue:9264", + "issue:9303", + "issue:9332" + ], + "soft_pairs": [ + "issue:3638|issue:3639", + "issue:8503|issue:8839", + "issue:6149|issue:6415", + "issue:7330|issue:7646", + "issue:3357|issue:5227", + "issue:1076|issue:1962", + "issue:7799|issue:9202", + "issue:7219|issue:9303", + "issue:3357|issue:4731", + "issue:9171|issue:9332", + "issue:12369|issue:13351", + "issue:9148|issue:9264", + "issue:5628|issue:5687", + "issue:4631|issue:5075", + "issue:6561|issue:8827", + "issue:12348|issue:12529", + "issue:3698|issue:4912", + "issue:9025|issue:9038", + "issue:2674|issue:3124", + "issue:10321|issue:11258", + "issue:6794|issue:7021", + "issue:7417|issue:7569", + "issue:1062|issue:1185", + "issue:2163|issue:3565" + ], + "prepared_review_unit_hash": "8a0c71a6b83800e8af7a57ff23983e7b54797fd5003234a10aa770bdf8ec70ae", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33192, + "estimated_input_tokens": 8298, + "estimated_eval_tokens": 16852 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated feature requests or bug reports. Clear duplicate/near-duplicate pairs are the Dreambooth reproducibility reports and the Flux inpainting requests; a Karras-sigmas timestep bug pair also looks likely to be the same underlying scheduler issue.", + "confidence": 0.78, + "canonical_issue_reason": "issue:1185 is the cleanest representative of the Dreambooth reproducibility duplicate pair: it states the symptom directly and covers the broader complaint raised in issue:1062.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9171 is the strongest standalone issue overall: it describes a concrete regression, names the exact API, and has a specific model condition that makes it actionable.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3638", + "right": "issue:3639", + "accept": false, + "reason": "Different new pipeline proposals; same broad area, but not the same change." + }, + { + "left": "issue:8503", + "right": "issue:8839", + "accept": false, + "reason": "Both involve SD3, but they report different failures in different code paths." + }, + { + "left": "issue:6149", + "right": "issue:6415", + "accept": false, + "reason": "One is a load error for a specific IP-Adapter model, the other is a support/request issue for FaceID variants." + }, + { + "left": "issue:7330", + "right": "issue:7646", + "accept": false, + "reason": "Unrelated training-script issues: FP16 unscale error vs dataloader worker question." + }, + { + "left": "issue:3357", + "right": "issue:5227", + "accept": false, + "reason": "Both mention torch.compile, but they describe different compile failures and likely different root causes." + }, + { + "left": "issue:1076", + "right": "issue:1962", + "accept": false, + "reason": "Different topics; one is about stable-diffusion-v1-5, the other about video generation." + }, + { + "left": "issue:7799", + "right": "issue:9202", + "accept": false, + "reason": "Both are IP-Adapter shape issues, but they affect different pipelines and adapter variants." + }, + { + "left": "issue:7219", + "right": "issue:9303", + "accept": false, + "reason": "Both request upscaler-related features, but they are distinct models/tools, not the same change." + }, + { + "left": "issue:3357", + "right": "issue:4731", + "accept": false, + "reason": "Different compile failures in different scenarios; same subsystem, not the same bug." + }, + { + "left": "issue:9171", + "right": "issue:9332", + "accept": false, + "reason": "Both are loading regressions, but they concern different APIs and different failure modes." + }, + { + "left": "issue:12369", + "right": "issue:13351", + "accept": false, + "reason": "Different feature requests in the Wan ecosystem; no shared underlying bug/change." + }, + { + "left": "issue:9148", + "right": "issue:9264", + "accept": true, + "reason": "Same underlying feature request: add Flux inpainting support." + }, + { + "left": "issue:5628", + "right": "issue:5687", + "accept": true, + "reason": "Both describe Karras-sigmas timestep generation bugs causing offsets/duplicate timesteps; same scheduler root cause is plausible." + }, + { + "left": "issue:4631", + "right": "issue:5075", + "accept": false, + "reason": "Different runtime errors and different affected components; only share a broad SDXL/solver context." + }, + { + "left": "issue:6561", + "right": "issue:8827", + "accept": false, + "reason": "Different IP-Adapter problems: missing model files vs FaceID SDXL usage error." + }, + { + "left": "issue:12348", + "right": "issue:12529", + "accept": false, + "reason": "Both mention tensor mismatch, but they involve different Wan pipelines and different failure conditions." + }, + { + "left": "issue:3698", + "right": "issue:4912", + "accept": false, + "reason": "Both are conversion-related, but one is about inpainting model conversion and the other about custom SDXL checkpoint conversion." + }, + { + "left": "issue:9025", + "right": "issue:9038", + "accept": false, + "reason": "Unrelated FlaxStableDiffusionPipeline questions: single-file loading vs prompt weighting." + }, + { + "left": "issue:2674", + "right": "issue:3124", + "accept": false, + "reason": "Different model-conversion/load problems; not the same underlying bug." + }, + { + "left": "issue:10321", + "right": "issue:11258", + "accept": false, + "reason": "One is a concrete missing-weights load error, the other reads like a single-file support request; not clearly the same issue." + }, + { + "left": "issue:6794", + "right": "issue:7021", + "accept": false, + "reason": "Different import/env problems with no shared failure path." + }, + { + "left": "issue:7417", + "right": "issue:7569", + "accept": false, + "reason": "Both fail on Mac, but they are different tests and likely different causes." + }, + { + "left": "issue:1062", + "right": "issue:1185", + "accept": true, + "reason": "Same underlying Dreambooth reproducibility complaint; the wording is nearly synonymous." + }, + { + "left": "issue:2163", + "right": "issue:3565", + "accept": false, + "reason": "Different training problems: dtype mismatch vs CUDA out-of-memory." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft-edge pairs. The accepted pairs (Dreambooth, Flux inpainting, and the Karras-sigmas scheduler case) are plausible from the titles alone, and the rejected pairs are generally framed as different APIs, features, or failure modes without overstating linkage. The best/canonical issue rationales are also supported by the titles provided." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 76, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10518", + "issue:10591", + "issue:10893", + "issue:1101", + "issue:11104", + "issue:11258", + "issue:11374", + "issue:228", + "issue:2471", + "issue:2531", + "issue:2603", + "issue:2689", + "issue:2780", + "issue:280", + "issue:2830", + "issue:2838", + "issue:2883", + "issue:3184", + "issue:3279", + "issue:3454", + "issue:3565", + "issue:3700", + "issue:3728", + "issue:3774", + "issue:4178", + "issue:4263", + "issue:4376", + "issue:4631", + "issue:4704", + "issue:5017", + "issue:5399", + "issue:5761", + "issue:5960", + "issue:5997", + "issue:6091", + "issue:6183", + "issue:6224", + "issue:6879", + "issue:7147", + "issue:7330", + "issue:8649", + "issue:9042", + "issue:938", + "issue:9410", + "issue:9443", + "issue:9551", + "issue:9665" + ], + "soft_pairs": [ + "issue:10893|issue:11374", + "issue:3728|issue:938", + "issue:5960|issue:5997", + "issue:6224|issue:7330", + "issue:4178|issue:4263", + "issue:10518|issue:10591", + "issue:3565|issue:3774", + "issue:4704|issue:6879", + "issue:8649|issue:9443", + "issue:7147|issue:9410", + "issue:4376|issue:6183", + "issue:11104|issue:11258", + "issue:3279|issue:3454", + "issue:10026|issue:9665", + "issue:2838|issue:5017", + "issue:2780|issue:3700", + "issue:5761|issue:6091", + "issue:2471|issue:2603", + "issue:1101|issue:280", + "issue:2830|issue:2883", + "issue:2531|issue:3184", + "issue:4631|issue:5399", + "issue:9042|issue:9551", + "issue:228|issue:2689" + ], + "prepared_review_unit_hash": "0b185750398ab0b4522e4a0111bea5201df87ca63c1d490ec17d24979c06f2b1", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33865, + "estimated_input_tokens": 8467, + "estimated_eval_tokens": 17190 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated issues/features; only a few soft pairs look like true duplicates (notably the SD3 LoRA training script pair, LoRA unloading pair, and the Attend-and-Excite size/padding pair).", + "confidence": 0.91, + "canonical_issue_reason": "No single canonical issue fits the whole cluster: the items span different models, pipelines, training scripts, scheduler requests, and link/documentation bugs. Any dedupe should be handled per accepted soft pair only.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue candidate; the cluster does not center on one underlying bug/change. The closest duplicate anchors are only local to their accepted pairs.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10893", + "right": "issue:11374", + "accept": false, + "reason": "Both are feature requests around control/video models, but they target different integrations (CogVideoX ControlNet vs SkyReels-V2 support) and are not the same change." + }, + { + "left": "issue:3728", + "right": "issue:938", + "accept": false, + "reason": "Different underlying requests: a text-to-image shifted diffusion pipeline vs a text-to-motion model. Same broad area, not the same bug/change." + }, + { + "left": "issue:5960", + "right": "issue:5997", + "accept": false, + "reason": "Different failures in different ControlNet SDXL tutorial/training paths; one is a cast warning during image processing, the other is a tokenizer/model-type instantiation error." + }, + { + "left": "issue:6224", + "right": "issue:7330", + "accept": false, + "reason": "Both are training-script failures, but they describe different code paths and errors (TorchDynamo vs FP16 unscale in LoRA fine-tuning)." + }, + { + "left": "issue:4178", + "right": "issue:4263", + "accept": true, + "reason": "Same underlying LoRA unloading bug; one report mentions the XFormers trigger, but both concern unloading LoRA weights failing in SD pipelines." + }, + { + "left": "issue:10518", + "right": "issue:10591", + "accept": true, + "reason": "Near-identical SD3 LoRA training script issue; titles indicate the same script and same vague bug report." + }, + { + "left": "issue:3565", + "right": "issue:3774", + "accept": false, + "reason": "Both mention memory, but one is a plain OOM in text-to-image training and the other is about ZeRO-3 not reducing memory; not the same bug." + }, + { + "left": "issue:4704", + "right": "issue:6879", + "accept": false, + "reason": "The second is a specific dtype-mismatch in Custom Diffusion; the first is only a broad failure report and does not clearly match the same root cause." + }, + { + "left": "issue:8649", + "right": "issue:9443", + "accept": false, + "reason": "Different SD3 problems: num_images_per_prompt handling vs tokenizer slow/fast instantiation error." + }, + { + "left": "issue:7147", + "right": "issue:9410", + "accept": false, + "reason": "Both are import errors, but for different pipeline classes and different models; not the same underlying issue." + }, + { + "left": "issue:4376", + "right": "issue:6183", + "accept": false, + "reason": "Different Stable Diffusion XL problems: textual inversion crash vs wrong shape when loading from a single file." + }, + { + "left": "issue:11104", + "right": "issue:11258", + "accept": false, + "reason": "Same model family (LTX) but different concrete problems: offload methods broken vs single-file loading." + }, + { + "left": "issue:3279", + "right": "issue:3454", + "accept": false, + "reason": "Same script, but one is a checkpoint-resume error and the other is a broader latest-version compatibility issue; not clearly the same bug." + }, + { + "left": "issue:10026", + "right": "issue:9665", + "accept": false, + "reason": "Both involve DeepSpeed/training, but one is a Flux ControlNet memory scaling complaint and the other is about accelerator.prepare() behavior; different code-path problems." + }, + { + "left": "issue:2838", + "right": "issue:5017", + "accept": false, + "reason": "Both reference ControlNet, but one asks for a pipeline mode that ignores control while the other requests a control mode; related topic, not the same change." + }, + { + "left": "issue:2780", + "right": "issue:3700", + "accept": false, + "reason": "Same LoRA text-to-image script, but the reported bugs are different: FP16 gradient unscale vs min_snr argument support." + }, + { + "left": "issue:5761", + "right": "issue:6091", + "accept": false, + "reason": "Both mention consistency decoder, but one is about cost/performance and the other about a size-related memory issue; not the same underlying defect." + }, + { + "left": "issue:2471", + "right": "issue:2603", + "accept": true, + "reason": "Same Attend-and-Excite size-handling bug: both describe the pipeline failing when the output size is not the default/square size." + }, + { + "left": "issue:1101", + "right": "issue:280", + "accept": false, + "reason": "Separate scheduler feature requests (DPM-Solver vs DEIS); same area, different additions." + }, + { + "left": "issue:2830", + "right": "issue:2883", + "accept": false, + "reason": "Both are video-generation related, but one asks about using a specific model for image+text-to-video and the other is a generic image-to-video pipeline request." + }, + { + "left": "issue:2531", + "right": "issue:3184", + "accept": false, + "reason": "Same community pipeline name, but different failures: meta-tensor/offload error vs generator-list support." + }, + { + "left": "issue:4631", + "right": "issue:5399", + "accept": false, + "reason": "Completely different bugs: scheduler scalar conversion error vs custom inpainting dtype mismatch." + }, + { + "left": "issue:9042", + "right": "issue:9551", + "accept": false, + "reason": "Feature request for a Flux pipeline vs usage question about Flux ControlNet models; not the same underlying change." + }, + { + "left": "issue:228", + "right": "issue:2689", + "accept": false, + "reason": "Both are broken links, but they refer to different assets and unrelated fixes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The global-cluster assessment is reasonable, and the accepted soft pairs are plausible duplicates based on the titles alone. I don\u2019t see any overstatement that would force a rejection." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 77, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10150", + "issue:10302", + "issue:10334", + "issue:10462", + "issue:10674", + "issue:10797", + "issue:10914", + "issue:11229", + "issue:12037", + "issue:12047", + "issue:12358", + "issue:1594", + "issue:1962", + "issue:201", + "issue:2722", + "issue:3382", + "issue:3406", + "issue:3453", + "issue:3468", + "issue:3694", + "issue:3728", + "issue:3826", + "issue:4305", + "issue:4427", + "issue:4686", + "issue:4708", + "issue:4731", + "issue:4874", + "issue:5061", + "issue:5108", + "issue:5219", + "issue:5374", + "issue:5886", + "issue:6008", + "issue:6096", + "issue:6427", + "issue:6561", + "issue:671", + "issue:7021", + "issue:7223", + "issue:8503", + "issue:8649", + "issue:8787", + "issue:8839", + "issue:9303", + "issue:9850", + "issue:9873" + ], + "soft_pairs": [ + "issue:12037|issue:12047", + "issue:201|issue:3406", + "issue:5886|issue:6561", + "issue:10674|issue:10797", + "issue:3382|issue:3453", + "issue:4305|issue:6008", + "issue:5061|issue:5374", + "issue:1594|issue:1962", + "issue:5219|issue:6427", + "issue:8649|issue:8839", + "issue:3728|issue:7223", + "issue:8503|issue:9850", + "issue:12358|issue:9873", + "issue:10302|issue:10914", + "issue:3468|issue:3694", + "issue:10334|issue:11229", + "issue:10462|issue:9303", + "issue:3728|issue:3826", + "issue:4686|issue:4874", + "issue:10150|issue:8787", + "issue:4731|issue:6096", + "issue:2722|issue:671", + "issue:4427|issue:5108", + "issue:4708|issue:7021" + ], + "prepared_review_unit_hash": "9311f3e4e6007c78efe4fec13704a03644af834103e25b463da72751a7ea1163", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33013, + "estimated_input_tokens": 8254, + "estimated_eval_tokens": 16764 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Only one pair looks like the same underlying bug: the general model-loading slowdown report and the SDXL-specific slow loading/inference report. The rest are keyword-similar but describe different models, pipelines, or feature requests, so they should stay separate.", + "confidence": 0.83, + "canonical_issue_reason": "issue:8787 is the broadest and earliest representative of the loading-performance regression theme; issue:10150 reads like a narrower SDXL-specific instance of the same slowdown.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8787 best fits as the representative issue because it captures the shared slow-loading problem without overfitting to one model family.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12037", + "right": "issue:12047", + "accept": false, + "reason": "Both mention Lightx2v/Wan2.2, but one is a compatibility problem and the other is a GGUF fuse failure; different concrete bugs." + }, + { + "left": "issue:201", + "right": "issue:3406", + "accept": false, + "reason": "Same attention subsystem, but one is a test item and the other is a runtime bug with only_cross_attention=True; not the same issue." + }, + { + "left": "issue:5886", + "right": "issue:6561", + "accept": false, + "reason": "One is a request to support a face model, the other is a missing config.json load error for IP-Adapter; different problems." + }, + { + "left": "issue:10674", + "right": "issue:10797", + "accept": false, + "reason": "Different pipelines and failure modes: Flux GGUF support vs HunyuanVideo group_offloading not working." + }, + { + "left": "issue:3382", + "right": "issue:3453", + "accept": false, + "reason": "Both are training-time errors, but one is multi-GPU OOM and the other is a BFloat16 CUDA kernel limitation; unrelated root causes." + }, + { + "left": "issue:4305", + "right": "issue:6008", + "accept": false, + "reason": "torch.compile graph-break regression and IP-Adapter+LCM face failure are unrelated bugs." + }, + { + "left": "issue:5061", + "right": "issue:5374", + "accept": false, + "reason": "Both are CLI argument errors, but they affect different conversion paths and different arguments." + }, + { + "left": "issue:1594", + "right": "issue:1962", + "accept": false, + "reason": "One is an img2img-for-video feature request, the other is a general video-generation request; not the same change." + }, + { + "left": "issue:5219", + "right": "issue:6427", + "accept": false, + "reason": "Both involve model conversion/loading, but one is failing to load an SDXL safetensors model and the other is a diffusers-to-ckpt conversion bug." + }, + { + "left": "issue:8649", + "right": "issue:8839", + "accept": false, + "reason": "Both are SD3 issues, but one is num_images_per_prompt handling and the other is a LoRA weight error; distinct code paths." + }, + { + "left": "issue:3728", + "right": "issue:7223", + "accept": false, + "reason": "Separate new-pipeline requests for different video models; same broad area, different artifacts." + }, + { + "left": "issue:8503", + "right": "issue:9850", + "accept": false, + "reason": "One reports gradient-checkpointing crashes; the other is a feature request to make checkpointing work with frozen models." + }, + { + "left": "issue:12358", + "right": "issue:9873", + "accept": false, + "reason": "Two different pipeline requests for different models (Lumina-DiMOO vs OmniGen)." + }, + { + "left": "issue:10302", + "right": "issue:10914", + "accept": false, + "reason": "FP8 noise without CPU offloading and unintended CPU offloading are related to offload behavior but not the same bug." + }, + { + "left": "issue:3468", + "right": "issue:3694", + "accept": false, + "reason": "Both mention missing model_index.json/config files after finetuning, but they involve different training scripts and outputs; too weak to treat as the same bug." + }, + { + "left": "issue:10334", + "right": "issue:11229", + "accept": false, + "reason": "Both are MPS/NaN reports, but one is Sana on macOS and the other is SDXL with attention slicing; different models and triggers." + }, + { + "left": "issue:10462", + "right": "issue:9303", + "accept": false, + "reason": "A customization request for CogVideoX-5B and a VEnhancer pipeline request are distinct feature additions." + }, + { + "left": "issue:3728", + "right": "issue:3826", + "accept": false, + "reason": "Different new pipeline proposals for different domains; not the same change." + }, + { + "left": "issue:4686", + "right": "issue:4874", + "accept": false, + "reason": "Both are StableDiffusionUpscalePipeline/local-load issues, but one is a failed from_pretrained load and the other is a low_res_scheduler bug; not enough to merge." + }, + { + "left": "issue:10150", + "right": "issue:8787", + "accept": true, + "reason": "Both describe the same slow-loading regression; 10150 is a more specific SDXL loading/inference report and 8787 is the broader generic slowdown report." + }, + { + "left": "issue:4731", + "right": "issue:6096", + "accept": false, + "reason": "Different compile-time failures: multi-ControlNet graph break vs SVD DynamicOutputShapeException." + }, + { + "left": "issue:2722", + "right": "issue:671", + "accept": false, + "reason": "Both concern converted models differing from expectations, but they are about different conversion workflows and model families." + }, + { + "left": "issue:4427", + "right": "issue:5108", + "accept": false, + "reason": "Both are Multiadapter-related, but one is a T2I example and the other is XL exceptions; not the same concrete bug." + }, + { + "left": "issue:4708", + "right": "issue:7021", + "accept": false, + "reason": "Import problems around diffusers/HF_HOME, but the titles point to different import/config issues and no shared concrete failure." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the one accepted pair (10150/8787) is supported by the titles/body context as the same loading-performance regression at different specificity levels. The remaining soft-edge calls stay conservative: they consistently separate similar-but-distinct model, pipeline, conversion, offloading, or compile-time issues without overstating identity." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 78, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10202", + "issue:10594", + "issue:10639", + "issue:1082", + "issue:11010", + "issue:11182", + "issue:11363", + "issue:11408", + "issue:12037", + "issue:12052", + "issue:12367", + "issue:12412", + "issue:1280", + "issue:1305", + "issue:13065", + "issue:1350", + "issue:1594", + "issue:2132", + "issue:2390", + "issue:2412", + "issue:2596", + "issue:2984", + "issue:3422", + "issue:3564", + "issue:3728", + "issue:3884", + "issue:4584", + "issue:4708", + "issue:4753", + "issue:4754", + "issue:4849", + "issue:488", + "issue:5168", + "issue:5284", + "issue:5576", + "issue:5623", + "issue:5849", + "issue:6073", + "issue:6565", + "issue:6741", + "issue:7646", + "issue:8511", + "issue:8594", + "issue:9546", + "issue:9576", + "issue:9628", + "issue:9643", + "issue:9876" + ], + "soft_pairs": [ + "issue:1280|issue:488", + "issue:12367|issue:13065", + "issue:1594|issue:2984", + "issue:1305|issue:1350", + "issue:4584|issue:5849", + "issue:5168|issue:5284", + "issue:3728|issue:5576", + "issue:8511|issue:9876", + "issue:11182|issue:9576", + "issue:4754|issue:4849", + "issue:12037|issue:12052", + "issue:10639|issue:12412", + "issue:2596|issue:4708", + "issue:3422|issue:5623", + "issue:8594|issue:9628", + "issue:11010|issue:11408", + "issue:3884|issue:7646", + "issue:2132|issue:4753", + "issue:2390|issue:3564", + "issue:10202|issue:10594", + "issue:1082|issue:2412", + "issue:11363|issue:9546", + "issue:2412|issue:6073", + "issue:11010|issue:9643", + "issue:6565|issue:6741" + ], + "prepared_review_unit_hash": "acbedd8dd9e1537d556dcf0a2d2daba7cd5ba73464515a9fb86e05f294b906bc", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33972, + "estimated_input_tokens": 8493, + "estimated_eval_tokens": 17242 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose thematic mix of image-model support requests and unrelated training/runtime bugs. 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but one is an Eligen LoRA support request and the other is about inpaint+canny controlnet composition." + }, + { + "left": "issue:1594", + "right": "issue:2984", + "accept": false, + "reason": "Both are video-generation related, but one asks for img2img video generation while the other is about Latent Video Diffusion as a model/paper support request." + }, + { + "left": "issue:1305", + "right": "issue:1350", + "accept": false, + "reason": "These are unrelated domains: direct inversion image editing versus object detection with DiffusionDet." + }, + { + "left": "issue:4584", + "right": "issue:5849", + "accept": false, + "reason": "Same script family, but one is a resume-from-checkpoint bug and the other is an argparse/main signature error; not the same underlying defect." + }, + { + "left": "issue:5168", + "right": "issue:5284", + "accept": false, + "reason": "Different ControlNet variants are requested; similarity is only at the broad ControlNet support level." + }, + { + "left": "issue:3728", + "right": "issue:5576", + "accept": false, + "reason": "Both propose new diffusion techniques, but they are distinct scheduler/method requests with no shared concrete bug or patch." + }, + { + "left": "issue:8511", + "right": "issue:9876", + "accept": false, + "reason": "Both relate to LoRA/training memory, but one is specifically about unloading text encoders in SD3 scripts and the other is a general VRAM-release complaint." + }, + { + "left": "issue:11182", + "right": "issue:9576", + "accept": false, + "reason": "These are separate loading issues: an unnecessary BF16 download versus a missing use_safetensors propagation bug." + }, + { + "left": "issue:4754", + "right": "issue:4849", + "accept": false, + "reason": "Textual inversion save/load failure is unrelated to the multi-GPU training question." + }, + { + "left": "issue:12037", + "right": "issue:12052", + "accept": false, + "reason": "Both involve Wan 2.2 and LightX2V, but one is LoRA compatibility and the other is 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"right": "issue:2412", + "accept": false, + "reason": "Dreambooth CUDA execution failure and a generic dreambooth error are too broad to treat as the same bug." + }, + { + "left": "issue:11363", + "right": "issue:9546", + "accept": false, + "reason": "Both are OOM reports, but they occur in different Flux ControlNet examples and likely need different fixes." + }, + { + "left": "issue:2412", + "right": "issue:6073", + "accept": false, + "reason": "Both are dreambooth usage problems, but one is generic and the other is a beginner/readme-specific error report." + }, + { + "left": "issue:11010", + "right": "issue:9643", + "accept": false, + "reason": "A Flux model support request is not the same as the multiple-ControlNets compatibility question." + }, + { + "left": "issue:6565", + "right": "issue:6741", + "accept": false, + "reason": "DPO training instability and a missing no_flip argument are unrelated training-script issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 79, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10321", + "issue:10460", + "issue:10760", + "issue:10925", + "issue:11024", + "issue:11104", + "issue:11432", + "issue:12221", + "issue:12613", + "issue:12699", + "issue:1574", + "issue:2177", + "issue:2321", + "issue:2466", + "issue:2728", + "issue:3613", + "issue:378", + "issue:4704", + "issue:4837", + "issue:4852", + "issue:4911", + "issue:4993", + "issue:5227", + "issue:5558", + "issue:579", + "issue:6069", + "issue:6162", + "issue:6503", + "issue:6520", + "issue:6527", + "issue:6545", + "issue:6709", + "issue:7049", + "issue:7159", + "issue:7210", + 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No soft edge is strong enough to merge.", + "confidence": 0.42, + "canonical_issue_reason": "issue:11104 is the closest thing to a representative issue because it is a concrete, well-scoped bug report with a clear LTX-Video failure and discussion, but the overall group is too heterogeneous for a strong canonical choice.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11104 is the best single issue candidate for triage quality and specificity, but only weakly so; it does not subsume the other reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10321", + "right": "issue:11104", + "accept": false, + "reason": "Both mention LTX-Video, but one is a missing model file/load-path problem and the other is broken offload methods. Different failures, not the same bug." + }, + { + "left": "issue:10460", + "right": "issue:9370", + "accept": false, + "reason": "Different classes and different missing arguments (`mid_block_type` vs `pooled_projection`). Only a superficial API-shape similarity." + }, + { + "left": "issue:12221", + "right": "issue:9551", + "accept": false, + "reason": "Both are feature requests around controlnets, but they target different models/workflows and do not describe the same change." + }, + { + "left": "issue:2321", + "right": "issue:2466", + "accept": false, + "reason": "Model-copy/EMA behavior is unrelated to checkpoint retention limits in training examples." + }, + { + "left": "issue:10760", + "right": "issue:7210", + "accept": false, + "reason": "Import structure bug and `named_parameters` on a pipeline with accelerate are unrelated code paths." + }, + { + "left": "issue:11024", + "right": "issue:8307", + "accept": false, + "reason": "One is an IP-Adapter processor `.to()` issue; the other is a missing Stable Cascade symbol. Different bugs." + }, + { + "left": "issue:11432", + "right": "issue:9971", + "accept": false, + "reason": "`torch_dtype=\"auto\"` loading behavior is unrelated to DEISMultistepScheduler on FLUX." + }, + { + "left": "issue:6069", + "right": "issue:6527", + "accept": false, + "reason": "Both involve `add_noise`, but they are different schedulers and different failure descriptions; not enough to treat as the same bug." + }, + { + "left": "issue:5227", + "right": "issue:7159", + "accept": false, + "reason": "Both mention `torch.compile`, but one is LoRA loading and the other is fused LoRA inference. Distinct problems." + }, + { + "left": "issue:4993", + "right": "issue:9223", + "accept": false, + "reason": "Import-structure exposure and package dependency conflicts are unrelated." + }, + { + "left": "issue:378", + "right": "issue:579", + "accept": false, + "reason": "Textual Inversion issues, but one is a model-distribution/latent bug and the other is a missing `config.json` load failure." + }, + { + "left": "issue:4704", + "right": "issue:6709", + "accept": false, + "reason": "Same example family, but one is a general Custom Diffusion training failure and the other is a concept-list-specific bug." + }, + { + "left": "issue:6520", + "right": "issue:7538", + "accept": false, + "reason": "Blank validation outputs during adapter training are unrelated to a style-dataset training issue." + }, + { + "left": "issue:8939", + "right": "issue:9209", + "accept": false, + "reason": "Tokenizer load failure from a model repo is not the same as a network/mirror connectivity failure." + }, + { + "left": "issue:1574", + "right": "issue:3613", + "accept": false, + "reason": "Both are Dreambooth training complaints, but the environments and stated failure modes differ; not the same concrete bug." + }, + { + "left": "issue:4852", + "right": "issue:4911", + "accept": false, + "reason": "Loading a LoRA and loading a custom text encoder from single-file are different code paths and failures." + }, + { + "left": "issue:2177", + "right": "issue:2728", + "accept": false, + "reason": "Both are model-loading problems, but one is AutoencoderKL and the other UNet2DConditionModel safetensors loading; too different to merge." + }, + { + "left": "issue:6162", + "right": "issue:7355", + "accept": false, + "reason": "IP-Adapter shape mismatch and Stable Cascade arbitrary-resolution/bfloat16 issues are unrelated." + }, + { + "left": "issue:4837", + "right": "issue:861", + "accept": false, + "reason": "Both reference conversion scripts, but one is SDXL conversion and the other is a general ckpt conversion failure; not the same bug." + }, + { + "left": "issue:6503", + "right": "issue:6545", + "accept": false, + "reason": "Torch.compile compatibility for training scripts is unrelated to modularizing inference during/after training." + }, + { + "left": "issue:7049", + "right": "issue:9448", + "accept": false, + "reason": "Both are IP-Adapter example errors, but the exceptions and pipeline contexts differ; not clearly the same underlying bug." + }, + { + "left": "issue:10925", + "right": "issue:9237", + "accept": false, + "reason": "Both are FLUX Dreambooth-related, but one is a CLIPTextModel finetune issue and the other is a LoRA training issue." + }, + { + "left": "issue:5558", + "right": "issue:7348", + "accept": false, + "reason": "Same inpaint pipeline, but one is multiple-ControlNet artifacts and the other is scheduler weirdness. Different root causes." + }, + { + "left": "issue:12613", + "right": "issue:12699", + "accept": false, + "reason": "Both mention Wan 2.2, but one is NaNs in latent during i2v and the other is quality degradation across many prompts with a LoRA. Different bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 80, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10150", + "issue:10202", + "issue:10594", + "issue:11024", + "issue:11109", + "issue:11143", + "issue:11258", + "issue:11363", + "issue:11464", + "issue:11642", + "issue:12082", + "issue:12565", + "issue:12599", + "issue:1350", + "issue:1823", + "issue:228", + "issue:2984", + "issue:3019", + "issue:3728", + "issue:4061", + "issue:4141", + "issue:4194", + "issue:4303", + "issue:4305", + "issue:4354", + "issue:4376", + "issue:4418", + "issue:4492", + "issue:462", + "issue:4885", + "issue:5412", + "issue:6001", + "issue:6418", + "issue:6482", + "issue:6598", + "issue:7049", + "issue:7142", + "issue:7773", + "issue:7985", + "issue:8182", + "issue:8626", + "issue:8787", + "issue:8828", + "issue:8839", + "issue:8939", + "issue:941", + "issue:9525", + "issue:9732" + ], + "soft_pairs": [ + "issue:4305|issue:7985", + "issue:7049|issue:8626", + "issue:12082|issue:12565", + "issue:8828|issue:8839", + "issue:10150|issue:12599", + "issue:11642|issue:9525", + "issue:4303|issue:4376", + "issue:11024|issue:8182", + "issue:10202|issue:11464", + "issue:1823|issue:228", + "issue:3019|issue:3728", + "issue:8787|issue:9525", + "issue:11363|issue:9732", + "issue:4492|issue:8939", + "issue:1350|issue:2984", + "issue:6418|issue:7773", + "issue:6598|issue:7142", + "issue:4194|issue:4354", + "issue:10594|issue:11109", + "issue:4061|issue:4885", + "issue:5412|issue:6482", + "issue:4141|issue:4418", + "issue:462|issue:941", + "issue:11143|issue:11258", + "issue:4354|issue:6001" + ], + "prepared_review_unit_hash": "59935438ce69032ac2cacc4df0d416038b5070326d5d51ca449669a7d5d0ba95", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34296, + "estimated_input_tokens": 8574, + "estimated_eval_tokens": 17404 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a loose similarity cluster around loading/performance, LoRA, ControlNet, and model-specific inference issues. The items do not describe the same underlying bug, so no soft merges are justified.", + "confidence": 0.83, + "canonical_issue_reason": "issue:12599 is the broadest and most concrete performance/loading report in the set, with clear symptom and discussion. It best represents the shared 'slow loading / moving to CUDA' theme better than the more model-specific issues.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12599 is the strongest standalone issue for this cluster because it is specific enough to be actionable while still covering the central loading/performance complaint more generally than the SDXL/Wan2.1/LoRA-specific reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4305", + "right": "issue:7985", + "accept": false, + "reason": "Both mention compile/graph-break style problems, but one is a version-wide torch.compile regression and the other is IPAdapter-specific compatibility; not the same fix path." + }, + { + "left": "issue:7049", + "right": "issue:8626", + "accept": false, + "reason": "Both concern IP-Adapter usage, but one is a runtime unpacking error and the other is documentation/usage guidance for multiple images/masks." + }, + { + "left": "issue:12082", + "right": "issue:12565", + "accept": false, + "reason": "Both are Wan2.1 issues, but one is VAE memory after compile and the other is a broader i2v runtime problem; different failure modes." + }, + { + "left": "issue:8828", + "right": "issue:8839", + "accept": false, + "reason": "Both are SD3 training-related, but one is a training error and the other is a LoRA weight-loading issue; not the same bug." + }, + { + "left": "issue:10150", + "right": "issue:12599", + "accept": false, + "reason": "Both relate to slowness, but one is SDXL pipeline loading/inference performance and the other is slow CUDA transfer after loading; too different to merge." + }, + { + "left": "issue:11642", + "right": "issue:9525", + "accept": false, + "reason": "Both involve Flux LoRA scaling behavior, but one is Prompt/Redux pipeline scaling and the other is loading-time LoRA scale not taking effect; likely separate code paths." + }, + { + "left": "issue:4303", + "right": "issue:4376", + "accept": false, + "reason": "Both are SDXL-related crashes, but one is Flax loading SDXL and the other is textual inversion loading in the PyTorch pipeline; unrelated failures." + }, + { + "left": "issue:11024", + "right": "issue:8182", + "accept": false, + "reason": "These are unrelated API misuse/attribute error reports; one is SiglipImageProcessor lacking .to(), the other is a logger typo." + }, + { + "left": "issue:10202", + "right": "issue:11464", + "accept": false, + "reason": "Both mention FLUX Control/LoRA loading, but one is an unload/caching issue and the other is inability to load a specific LoRA into FluxControlPipeline; not clearly the same defect." + }, + { + "left": "issue:1823", + "right": "issue:228", + "accept": false, + "reason": "These are unrelated release/content issues: swapped comments versus a broken model link." + }, + { + "left": "issue:3019", + "right": "issue:3728", + "accept": false, + "reason": "Both are feature requests for different pipelines/models, not the same underlying bug or change." + }, + { + "left": "issue:8787", + "right": "issue:9525", + "accept": false, + "reason": "Both mention loading/LoRA performance, but one is generic model loading slowness and the other is Flux LoRA scale behavior; different issues." + }, + { + "left": "issue:11363", + "right": "issue:9732", + "accept": false, + "reason": "Both involve OOM on GPU, but one is a ControlNet inference example and the other is a Wan2.1/README_flux training guide; different workloads and fixes." + }, + { + "left": "issue:4492", + "right": "issue:8939", + "accept": false, + "reason": "These are unrelated tokenizer/logging failures: one is a JSON/Python boolean typo, the other is a tokenizer loading path problem." + }, + { + "left": "issue:1350", + "right": "issue:2984", + "accept": false, + "reason": "Both are requests/issues about diffusion models for video/object detection, but they are distinct model features and not the same bug." + }, + { + "left": "issue:6418", + "right": "issue:7773", + "accept": false, + "reason": "Both involve video generation quality/behavior, but one is finetuning outputs collapsing to the first frame and the other is batch-size-related generation bug; not the same root cause." + }, + { + "left": "issue:6598", + "right": "issue:7142", + "accept": false, + "reason": "Both are image-generation result mismatches, but one is general img2img discrepancy versus A1111 and the other is SDXL-lightning specific inference mismatch; too broad to unify." + }, + { + "left": "issue:4194", + "right": "issue:4354", + "accept": false, + "reason": "Both are from single-file loading, but one is VAE not working in StableDiffusionPipeline and the other is the returned pipeline type for SDXL inpaint/refiner; different bugs." + }, + { + "left": "issue:10594", + "right": "issue:11109", + "accept": false, + "reason": "Both mention control/LoRA interactions on FLUX, but one is about combining multiple controls with LoRA and the other is a transformer layer mismatch from depth LoRA; not the same defect." + }, + { + "left": "issue:4061", + "right": "issue:4885", + "accept": false, + "reason": "Both are SDXL LoRA loading problems, but one is generic SDXL load_lora error and the other is SDXL ControlNet img2img not loading LoRA weights; separate code paths." + }, + { + "left": "issue:5412", + "right": "issue:6482", + "accept": false, + "reason": "Both are resume_from_checkpoint training failures, but they surface different errors and likely different training bugs." + }, + { + "left": "issue:4141", + "right": "issue:4418", + "accept": false, + "reason": "Both concern controlnet/inpaint behavior, but one is ignoring a second controlnet and the other is denoising_start misbehavior in an inpaint pipeline; not the same change." + }, + { + "left": "issue:462", + "right": "issue:941", + "accept": false, + "reason": "Both are MPS-related image generation issues, but one is a broken img2img pipeline release and the other is num_images_per_prompt noise behavior; unrelated fixes." + }, + { + "left": "issue:11143", + "right": "issue:11258", + "accept": false, + "reason": "Both are LTX-Video related, but one reports poor generation quality and the other is a single-file model loading question; not the same underlying issue." + }, + { + "left": "issue:4354", + "right": "issue:6001", + "accept": false, + "reason": "Both are from from_single_file pipeline selection, but one is SDXL inpaint returning the wrong pipeline type and the other is refiner loading returning Img2ImgPipeline; similar area but different concrete bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 81, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1005", + "issue:10596", + "issue:1061", + "issue:10673", + "issue:10674", + "issue:10795", + "issue:10833", + "issue:10914", + "issue:11023", + "issue:13043", + "issue:13298", + "issue:13484", + "issue:13487", + "issue:1367", + "issue:228", + "issue:2560", + "issue:3026", + "issue:3382", + "issue:3428", + "issue:3717", + "issue:3774", + "issue:4236", + "issue:4483", + "issue:4911", + "issue:5075", + "issue:5623", + "issue:5857", + "issue:5877", + "issue:5889", + "issue:5927", + "issue:5931", + "issue:6008", + "issue:6243", + "issue:6252", + "issue:6446", + "issue:6574", + "issue:7229", + "issue:7363", + "issue:7405", + "issue:7629", + "issue:7728", + "issue:7757", + "issue:8435", + "issue:8518", + "issue:8787", + "issue:9664", + "issue:9971" + ], + "soft_pairs": [ + "issue:4911|issue:8435", + "issue:2560|issue:3428", + "issue:1005|issue:1367", + "issue:3382|issue:7757", + "issue:5623|issue:7363", + "issue:5927|issue:6243", + "issue:6574|issue:7629", + "issue:13043|issue:13298", + "issue:3717|issue:3774", + "issue:7229|issue:7728", + "issue:6252|issue:6446", + "issue:5857|issue:6008", + "issue:5889|issue:7405", + "issue:13484|issue:13487", + "issue:10674|issue:9971", + "issue:10914|issue:11023", + "issue:10596|issue:10673", + "issue:10833|issue:8787", + "issue:10795|issue:8518", + "issue:5877|issue:9664", + "issue:4236|issue:5075", + "issue:1061|issue:228", + "issue:3026|issue:3717", + "issue:4483|issue:5931" + ], + "prepared_review_unit_hash": "ade9fcb54c13ab838484313523e36d1280bf7141c99d45f47484bef05ee61411", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33387, + "estimated_input_tokens": 8347, + "estimated_eval_tokens": 16950 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a heterogeneous mix of unrelated issues and feature requests across pipelines, training, LoRA/GGUF loading, determinism, OOMs, and scheduler/config behavior. I do not see a true duplicate cluster or a clear single canonical issue.", + "confidence": 0.96, + "canonical_issue_reason": "No single issue is a safe canonical here; the items cover many different code paths and error classes.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8435 is the broadest user-facing runtime-error report around `from_single_file` and has some inbound attention, so it is the closest thing to a hub, but it still does not represent the whole set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4911", + "right": "issue:8435", + "accept": false, + "reason": "Both mention `from_single_file`, but one is about loading a custom text encoder and the other is a general runtime error; not enough evidence of the same bug." + }, + { + "left": "issue:2560", + "right": "issue:3428", + "accept": false, + "reason": "Img2Img nondeterminism and an unexpected pipeline change are different behaviors and likely different bugs." + }, + { + "left": "issue:1005", + "right": "issue:1367", + "accept": false, + "reason": "`num_inference_timesteps` limits and saving custom `trained_betas` are separate scheduler/config issues." + }, + { + "left": "issue:3382", + "right": "issue:7757", + "accept": false, + "reason": "Both are OOM reports, but they involve different training scripts and settings; not the same concrete failure." + }, + { + "left": "issue:5623", + "right": "issue:7363", + "accept": false, + "reason": "Enhanced safety checker functionality is a feature request, while the other is a request for SDXL safety checker support; not duplicates." + }, + { + "left": "issue:5927", + "right": "issue:6243", + "accept": false, + "reason": "IP-Adapter/Reference/ inpaint combo and IP-Adapter Face ID are related subsystems but not the same bug report." + }, + { + "left": "issue:6574", + "right": "issue:7629", + "accept": false, + "reason": "A warning about SVD tensor range is unrelated to SVD OOM behavior under PyTorch 1.13.1." + }, + { + "left": "issue:13043", + "right": "issue:13298", + "accept": false, + "reason": "CUDA kernel-image support on RTX 5090 and generator-device breakage are different failures with different triggers." + }, + { + "left": "issue:3717", + "right": "issue:3774", + "accept": false, + "reason": "Both are memory issues, but one is multi-GPU OOM and the other is ZeRO-3 not saving memory in a training script." + }, + { + "left": "issue:7229", + "right": "issue:7728", + "accept": false, + "reason": "Checkpoint-saving trouble in advanced training and an Accelerate error in a specific DreamBooth LoRA script are not the same bug." + }, + { + "left": "issue:6252", + "right": "issue:6446", + "accept": false, + "reason": "LoRA weights not loading from checkpoint is unrelated to Stable Diffusion 2.1 failing to load on Colab minimal loading." + }, + { + "left": "issue:5857", + "right": "issue:6008", + "accept": false, + "reason": "LCM LoRA on AnimateDiff SDXL and IP-Adapter Plus Face with LCM LoRA are distinct combination-specific issues." + }, + { + "left": "issue:5889", + "right": "issue:7405", + "accept": false, + "reason": "A general Stable Video Diffusion feature request is not the same as the DynamiCrafter new-model request." + }, + { + "left": "issue:13484", + "right": "issue:13487", + "accept": false, + "reason": "One is Flux 2 dev FAL LoRA loading failure; the other is loading LoRAs on `text_pipe` in a modular pipeline. Related area, different bug." + }, + { + "left": "issue:10674", + "right": "issue:9971", + "accept": false, + "reason": "GGUF/Flux pipeline breakage and DEISMultistepScheduler on FLUX are different model/backend problems." + }, + { + "left": "issue:10914", + "right": "issue:11023", + "accept": false, + "reason": "Unexpected CPU offload and blurred images on a custom SDXL pipeline are unrelated behaviors." + }, + { + "left": "issue:10596", + "right": "issue:10673", + "accept": false, + "reason": "FluxControlPipeline invalid-shape and AuraFlow invalid-shape errors occur in different pipelines with different tensor shapes." + }, + { + "left": "issue:10833", + "right": "issue:8787", + "accept": false, + "reason": "Bitsandbytes matrix-shape mismatch in FluxFill and slow model loading are different issues." + }, + { + "left": "issue:10795", + "right": "issue:8518", + "accept": false, + "reason": "GGUF `from_single_file` torch.compile failure and SD3 torch._dynamo unsupported error are both compile-related but not the same concrete code path." + }, + { + "left": "issue:5877", + "right": "issue:9664", + "accept": false, + "reason": "Training subprocess failure in textual inversion/DreamBooth and a DreamBooth LoRA subprocess failure are different scripts and likely different root causes." + }, + { + "left": "issue:4236", + "right": "issue:5075", + "accept": false, + "reason": "SDXL refiner text encoder registration and prompt-embedding shape mismatch are distinct SDXL refiner bugs." + }, + { + "left": "issue:1061", + "right": "issue:228", + "accept": false, + "reason": "A textual inversion example update request is not related to a broken release download link." + }, + { + "left": "issue:3026", + "right": "issue:3717", + "accept": false, + "reason": "Accelerate launch failure in instruct-pix2pix and multi-GPU OOM are different training problems." + }, + { + "left": "issue:4483", + "right": "issue:5931", + "accept": false, + "reason": "SDXL generator nondeterminism and StableDiffusionPipeline nondeterminism are related in theme but not clearly the same pipeline or bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 82, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10180", + "issue:10186", + "issue:10321", + "issue:10334", + "issue:10350", + "issue:10833", + "issue:10925", + "issue:11010", + "issue:11033", + "issue:11143", + "issue:11298", + "issue:11342", + "issue:11408", + "issue:11907", + "issue:12501", + "issue:1367", + "issue:1617", + "issue:1734", + "issue:2156", + "issue:2299", + "issue:2444", + "issue:2674", + "issue:3250", + "issue:3357", + "issue:4134", + "issue:4480", + "issue:4731", + "issue:4993", + "issue:5604", + "issue:5753", + "issue:5917", + "issue:6096", + "issue:6124", + "issue:6709", + "issue:6818", + "issue:6879", + "issue:7033", + "issue:7159", + "issue:7377", + "issue:7513", + "issue:7889", + "issue:8645", + "issue:8649", + "issue:9227", + "issue:9643", + "issue:9667", + "issue:993" + ], + "soft_pairs": [ + "issue:6818|issue:7033", + "issue:7377|issue:8649", + "issue:11907|issue:9643", + "issue:4134|issue:4480", + "issue:4993|issue:5917", + "issue:6124|issue:7513", + "issue:10334|issue:11342", + "issue:11010|issue:9667", + "issue:10350|issue:12501", + "issue:10321|issue:11143", + "issue:10180|issue:11298", + "issue:3357|issue:6096", + "issue:2674|issue:5753", + "issue:1734|issue:2156", + "issue:2299|issue:993", + "issue:6709|issue:6879", + "issue:2674|issue:5604", + "issue:7889|issue:8645", + "issue:1367|issue:3250", + "issue:10925|issue:9227", + "issue:1617|issue:2444", + "issue:10186|issue:10833", + "issue:4731|issue:7159", + "issue:11033|issue:11907", + "issue:11408|issue:9643" + ], + "prepared_review_unit_hash": "281f9609a9c857d0e5fbfb46ce3091625b41597685a63871a371c796c193065b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33690, + "estimated_input_tokens": 8423, + "estimated_eval_tokens": 17102 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly unrelated Flux/Diffusers issues. The only strong duplicate pair is the multi-LoRA/PEFT failure pair (10180, 11298), which looks like the same underlying adapter-management bug.", + "confidence": 0.89, + "canonical_issue_reason": "issue:11298 is the clearest and broadest report of the shared multi-LoRA hotswap/PEFT key error, and it is still open, making it the best canonical issue for deduping related reports like issue:10180.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11298 best represents the underlying bug: multiple LoRA hotswapping triggers a PEFT key error. It is specific enough to anchor duplicates, while still broad enough to subsume the Flux Control LoRA variant.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6818", + "right": "issue:7033", + "accept": false, + "reason": "Different IP-Adapter bugs: unload/constructor error vs attention-mask warning logs." + }, + { + "left": "issue:7377", + "right": "issue:8649", + "accept": false, + "reason": "Both involve num_images_per_prompt, but they affect different pipelines and failure modes." + }, + { + "left": "issue:11907", + "right": "issue:9643", + "accept": false, + "reason": "Both mention Flux, but one is scheduler incompatibility and the other is multiple ControlNets." + }, + { + "left": "issue:4134", + "right": "issue:4480", + "accept": false, + "reason": "Both are Mac/MPS issues, but one is a tensor-shape mismatch and the other is a kernel crash on fp16." + }, + { + "left": "issue:4993", + "right": "issue:5917", + "accept": false, + "reason": "Import-structure exposure vs checkpoint conversion failure; unrelated bugs." + }, + { + "left": "issue:6124", + "right": "issue:7513", + "accept": false, + "reason": "DreamBooth LoRA training problems, but the specific errors and contexts differ." + }, + { + "left": "issue:10334", + "right": "issue:11342", + "accept": false, + "reason": "Both are Sana/MPS reports, but the symptoms and pipeline variants are different enough to avoid deduping." + }, + { + "left": "issue:11010", + "right": "issue:9667", + "accept": false, + "reason": "Different Flux-related issues: model architecture support vs fp8 loading with a local transformer file." + }, + { + "left": "issue:10350", + "right": "issue:12501", + "accept": false, + "reason": "High VAE decoder memory usage and a graph-break issue are not the same bug." + }, + { + "left": "issue:10321", + "right": "issue:11143", + "accept": false, + "reason": "Missing model files for LTX-Video vs video quality complaints; unrelated." + }, + { + "left": "issue:10180", + "right": "issue:11298", + "accept": true, + "reason": "Both describe multi-LoRA handling failing with PEFT/adapter-key problems, including the Flux Control LoRA case." + }, + { + "left": "issue:3357", + "right": "issue:6096", + "accept": false, + "reason": "Both are torch.compile failures, but they hit different unsupported patterns and code paths." + }, + { + "left": "issue:2674", + "right": "issue:5753", + "accept": false, + "reason": "LoRA safetensors dependency issue vs ControlNet/load_lora_weights incompatibility." + }, + { + "left": "issue:1734", + "right": "issue:2156", + "accept": false, + "reason": "Both concern DreamBooth training performance/configuration, but not the same bug." + }, + { + "left": "issue:2299", + "right": "issue:993", + "accept": false, + "reason": "Checkpoint-format/support question vs fp16 dtype mismatch; not the same issue." + }, + { + "left": "issue:6709", + "right": "issue:6879", + "accept": false, + "reason": "Same feature area (Custom Diffusion), but concept-list handling and dtype mismatch are distinct bugs." + }, + { + "left": "issue:2674", + "right": "issue:5604", + "accept": false, + "reason": "SafeTensors requirement and unfusing multiple LoRAs are separate problems." + }, + { + "left": "issue:7889", + "right": "issue:8645", + "accept": false, + "reason": "Both touch single_file_utils.py, but one is a bug report and the other is a missing helper function." + }, + { + "left": "issue:1367", + "right": "issue:3250", + "accept": false, + "reason": "Scheduler save/config behavior and K-Diffusion pipeline runtime failure are unrelated." + }, + { + "left": "issue:10925", + "right": "issue:9227", + "accept": false, + "reason": "Both are FLUX DreamBooth/LoRA training reports, but they target different failures and are not clearly the same bug." + }, + { + "left": "issue:1617", + "right": "issue:2444", + "accept": false, + "reason": "Missing CLI arguments and a non-zero exit from dreambooth_inpaint are different failures." + }, + { + "left": "issue:10186", + "right": "issue:10833", + "accept": false, + "reason": "Same FluxFillPipeline area, but one is an import error and the other is a quantization shape-mismatch bug." + }, + { + "left": "issue:4731", + "right": "issue:7159", + "accept": false, + "reason": "Both involve torch.compile, but one is multi-ControlNet SDXL and the other is fused LoRA behavior." + }, + { + "left": "issue:11033", + "right": "issue:11907", + "accept": false, + "reason": "SD1.5 from_single_file loading and Flux scheduler incompatibility are unrelated." + }, + { + "left": "issue:11408", + "right": "issue:9643", + "accept": false, + "reason": "Compiled-model adapter support and Flux multiple-ControlNet support are different issues." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the lone accepted pair (10180, 11298) is the only one that reads like a plausible duplicate from the titles alone. The other soft-edge rejections are conservative and appropriately avoid overclaiming." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 83, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10016", + "issue:10639", + "issue:10893", + "issue:10937", + "issue:11014", + "issue:11023", + "issue:11225", + "issue:11569", + "issue:12082", + "issue:12120", + "issue:12358", + "issue:1367", + "issue:1565", + "issue:1823", + "issue:2089", + "issue:2371", + "issue:259", + "issue:2772", + "issue:3565", + "issue:3694", + "issue:4206", + "issue:4566", + "issue:4664", + "issue:4724", + "issue:4935", + "issue:5313", + "issue:5432", + "issue:5466", + "issue:5516", + "issue:5846", + "issue:6252", + "issue:6368", + "issue:6561", + "issue:6586", + "issue:6809", + "issue:6823", + "issue:6839", + "issue:6891", + "issue:7180", + "issue:7466", + "issue:761", + "issue:7871", + "issue:7982", + "issue:8469", + "issue:861", + "issue:8909", + "issue:9599", + "issue:9953" + ], + "soft_pairs": [ + "issue:3565|issue:3694", + "issue:1823|issue:259", + "issue:2371|issue:761", + "issue:5432|issue:5846", + "issue:7982|issue:9953", + "issue:10893|issue:11569", + "issue:6823|issue:6839", + "issue:11023|issue:8909", + "issue:1565|issue:2089", + "issue:5313|issue:6809", + "issue:6561|issue:8469", + "issue:10639|issue:12358", + "issue:11014|issue:11225", + "issue:10937|issue:12082", + "issue:4206|issue:4566", + "issue:12120|issue:9599", + "issue:4664|issue:5516", + "issue:1367|issue:861", + "issue:6252|issue:6368", + "issue:6586|issue:6891", + "issue:10016|issue:5466", + "issue:2772|issue:4935", + "issue:7180|issue:7466", + "issue:4724|issue:7871" + ], + "prepared_review_unit_hash": "6281720097404f2e6f94709150fe193a35bc424660c43f0088ed489f69d2810f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34139, + "estimated_input_tokens": 8535, + "estimated_eval_tokens": 17326 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No duplicate cluster here: the soft pairs mostly share only broad keywords (OOM, ControlNet, LoRA, compile, pipeline) but describe different models, code paths, or request types. I would reject all soft edges.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue stands out because the items span unrelated bugs and feature requests across different models and subsystems (SDXL, SD3, FLUX, Lumina, Wan, ControlNet, LoRA, compile, saving/loading).", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a good global representative for deduplication; the cluster is too heterogeneous and the overlaps are mostly superficial.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3565", + "right": "issue:3694", + "accept": false, + "reason": "Both involve training examples, but one is CUDA OOM and the other is missing model/config files; different failure modes." + }, + { + "left": "issue:1823", + "right": "issue:259", + "accept": false, + "reason": "Unrelated bugs: swapped comments in depth2img vs progress bar behavior in the Stable Diffusion pipeline." + }, + { + "left": "issue:2371", + "right": "issue:761", + "accept": false, + "reason": "DreamBooth-related only at a high level; one is missing outputs after training, the other is 8-bit Adam OOM." + }, + { + "left": "issue:5432", + "right": "issue:5846", + "accept": false, + "reason": "Both touch SDXL LoRA training, but blank validation images and resume-from-checkpoint errors are distinct issues." + }, + { + "left": "issue:7982", + "right": "issue:9953", + "accept": false, + "reason": "Different code paths: MultiControlNet from_pipe vs moving a quantized component to CUDA." + }, + { + "left": "issue:10893", + "right": "issue:11569", + "accept": false, + "reason": "One is ControlNet integration for CogVideoX; the other is a request for a repo for an LTXV checkpoint." + }, + { + "left": "issue:6823", + "right": "issue:6839", + "accept": false, + "reason": "Generic controlnet use vs StableVideoDiffusion from_single_file support; different pipelines and errors." + }, + { + "left": "issue:11023", + "right": "issue:8909", + "accept": false, + "reason": "Blurred images with a custom pipeline is not the same as problems saving text_encoder_ti during training." + }, + { + "left": "issue:1565", + "right": "issue:2089", + "accept": false, + "reason": "GPU selection causing OOM vs DreamBooth training OOM; different root causes and eras." + }, + { + "left": "issue:5313", + "right": "issue:6809", + "accept": false, + "reason": "Non-revertible fuse behavior is different from LoRA adapters no longer loading under PEFT." + }, + { + "left": "issue:6561", + "right": "issue:8469", + "accept": false, + "reason": "Missing IP-Adapter config file vs corrupted/broken face outputs; one is load failure, the other is generation quality." + }, + { + "left": "issue:10639", + "right": "issue:12358", + "accept": false, + "reason": "Both are Lumina-related, but one asks to add support for Lumina-Image 2.0 and the other for Lumina-DiMOO; different pipelines." + }, + { + "left": "issue:11014", + "right": "issue:11225", + "accept": false, + "reason": "General Colab GPU OOM vs SD3 ControlNet validation-step OOM; not the same concrete bug." + }, + { + "left": "issue:10937", + "right": "issue:12082", + "accept": false, + "reason": "torch.compile error on vae.encode vs increased GPU memory usage after compile; different symptoms and models." + }, + { + "left": "issue:4206", + "right": "issue:4566", + "accept": false, + "reason": "ControlNet training broken on main vs SDXL LoRA resume checkpoint problem; different training workflows." + }, + { + "left": "issue:12120", + "right": "issue:9599", + "accept": false, + "reason": "Flux LoRA training question vs asking for a LoRA-only Flux example; request/usage discussion, not the same bug." + }, + { + "left": "issue:4664", + "right": "issue:5516", + "accept": false, + "reason": "SDXL LoRA loading differs between pipeline classes, while the other is LoRA not functioning with t2i adapters." + }, + { + "left": "issue:1367", + "right": "issue:861", + "accept": false, + "reason": "Scheduler serialization with trained_betas is unrelated to ckpt-to-diffusers conversion." + }, + { + "left": "issue:6252", + "right": "issue:6368", + "accept": false, + "reason": "General checkpoint loading failure for LoRA weights vs unsupported checkpoint layer alpha naming; different incompatibilities." + }, + { + "left": "issue:6586", + "right": "issue:6891", + "accept": false, + "reason": "Both are trackers, but micro-conditioning for SDXL trainers and new model card utilities are unrelated initiatives." + }, + { + "left": "issue:10016", + "right": "issue:5466", + "accept": false, + "reason": "Different model/loading problems: SD3.5M from_single_file shape mismatch vs SDXL img2img LoRA shape mismatch." + }, + { + "left": "issue:2772", + "right": "issue:4935", + "accept": false, + "reason": "train_controlnet local dataset validation issue vs a question about using lora_layers in an SDXL training script." + }, + { + "left": "issue:7180", + "right": "issue:7466", + "accept": false, + "reason": "CPU offload failure in SDXL img2img ControlNet is a different issue from torch.compile failing on multi-ControlNet inpaint." + }, + { + "left": "issue:4724", + "right": "issue:7871", + "accept": false, + "reason": "SDXL Img2Img with a base checkpoint vs blockwise scales with a LoRA file; separate pipeline behavior and error conditions." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 84, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10315", + "issue:10428", + "issue:10863", + "issue:11225", + "issue:11584", + "issue:11791", + "issue:12175", + "issue:12216", + "issue:12359", + "issue:1305", + "issue:1500", + "issue:1611", + "issue:1889", + "issue:2676", + "issue:2878", + "issue:2883", + "issue:3061", + "issue:3198", + "issue:3357", + "issue:3706", + "issue:3728", + "issue:4375", + "issue:460", + "issue:4615", + "issue:4724", + "issue:4925", + "issue:4954", + "issue:5432", + "issue:5575", + "issue:5576", + "issue:5873", + "issue:5931", + "issue:5934", + "issue:6224", + "issue:6520", + "issue:6536", + "issue:6549", + "issue:6790", + "issue:6794", + "issue:7159", + "issue:7766", + "issue:9112", + "issue:9343", + "issue:938", + "issue:9497", + "issue:9576", + "issue:9904" + ], + "soft_pairs": [ + "issue:5575|issue:6790", + "issue:11225|issue:4925", + "issue:1889|issue:2676", + "issue:12175|issue:12216", + "issue:11584|issue:11791", + "issue:2878|issue:5873", + "issue:12359|issue:9576", + "issue:3061|issue:460", + "issue:10315|issue:9497", + "issue:4615|issue:6794", + "issue:5432|issue:6520", + "issue:1305|issue:938", + "issue:2883|issue:3728", + "issue:6224|issue:6536", + "issue:10428|issue:9112", + "issue:3706|issue:5576", + "issue:6549|issue:7766", + "issue:1500|issue:1611", + "issue:10863|issue:9343", + "issue:4375|issue:5934", + "issue:12175|issue:9904", + "issue:3357|issue:7159", + "issue:3198|issue:4954", + "issue:4724|issue:5931" + ], + "prepared_review_unit_hash": "76bd2652f40a14cf2551387d6df18b36a8f3d1d2b50144a55867b3284c3634c1", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33486, + "estimated_input_tokens": 8372, + "estimated_eval_tokens": 17000 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster does not look like a duplicate set; it is a grab bag of unrelated issues across training, inference, loading, compile, docs, and model-specific workflows. No single canonical issue stands out, and none of the soft pairs look like the same underlying bug/change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5575", + "right": "issue:6790", + "accept": false, + "reason": "Both mention LoRA training, but one is about setting a hidden size parameter and the other is a checkpoint/state_dict key mismatch; different problems." + }, + { + "left": "issue:11225", + "right": "issue:4925", + "accept": false, + "reason": "Both involve OOM during training/validation, but they are on different pipelines and contexts (SD3 ControlNet validation vs SDXL distributed training)." + }, + { + "left": "issue:1889", + "right": "issue:2676", + "accept": false, + "reason": "Scheduler-related, but one is a request for a DPM++ SDE variant and the other asks about scheduler names; not the same bug/change." + }, + { + "left": "issue:12175", + "right": "issue:12216", + "accept": false, + "reason": "Both concern Qwen image quality, but they target different models and scenarios (Qwen Image vs Qwen-Image-Edit)." + }, + { + "left": "issue:11584", + "right": "issue:11791", + "accept": false, + "reason": "Both mention group offloading, but one is a torch.compile incompatibility and the other is a LoRA-weight loading failure after offloading; different code paths." + }, + { + "left": "issue:2878", + "right": "issue:5873", + "accept": false, + "reason": "Both are ONNX/export issues, but the failing operators and circumstances differ; not the same underlying export bug." + }, + { + "left": "issue:12359", + "right": "issue:9576", + "accept": false, + "reason": "One is a documentation bug about guidance_scale, the other a loading bug about use_safetensors propagation; unrelated." + }, + { + "left": "issue:3061", + "right": "issue:460", + "accept": false, + "reason": "Reproducibility vs ONNX runtime dependency; these are separate issues in different parts of the stack." + }, + { + "left": "issue:10315", + "right": "issue:9497", + "accept": false, + "reason": "Different model families and failures: CogVideo training error vs FLUX Dreambooth matmul shape error." + }, + { + "left": "issue:4615", + "right": "issue:6794", + "accept": false, + "reason": "Both are import failures, but they concern different symbols/modules and do not indicate the same bug." + }, + { + "left": "issue:5432", + "right": "issue:6520", + "accept": false, + "reason": "Both mention blank validation output during training, but they are different training scripts and likely different validation code paths." + }, + { + "left": "issue:1305", + "right": "issue:938", + "accept": false, + "reason": "Completely unrelated projects/models: Direct Inversion editing vs Human Motion Diffusion Model." + }, + { + "left": "issue:2883", + "right": "issue:3728", + "accept": false, + "reason": "Both are new pipeline ideas, but they describe different pipelines and modalities." + }, + { + "left": "issue:6224", + "right": "issue:6536", + "accept": false, + "reason": "TorchDynamo fine-tuning issue vs UNet3DConditionModel OOM; different failures and root causes." + }, + { + "left": "issue:10428", + "right": "issue:9112", + "accept": false, + "reason": "Different model/runtime failures: FLUX inference on Ascend NPU vs Auraflow tensor dimension mismatch." + }, + { + "left": "issue:3706", + "right": "issue:5576", + "accept": false, + "reason": "A new model request vs a scheduler request; not the same change or bug." + }, + { + "left": "issue:6549", + "right": "issue:7766", + "accept": false, + "reason": "Both are IP-Adapter-related, but one is a warning-log issue with LoRA weights and the other is a usage/question issue for FaceID Plus." + }, + { + "left": "issue:1500", + "right": "issue:1611", + "accept": false, + "reason": "Both involve pipeline compatibility, but one is a Diffusers version incompatibility and the other is a specific model stopped working in a pipeline; distinct issues." + }, + { + "left": "issue:10863", + "right": "issue:9343", + "accept": false, + "reason": "Different loading failures: local safetensors load error vs FLUX load error with low_cpu_mem_usage and ignore_mismatched_sizes." + }, + { + "left": "issue:4375", + "right": "issue:5934", + "accept": false, + "reason": "Both involve torch.compile, but one is an inference crash and the other is a generic compile error; too broad to merge as duplicates." + }, + { + "left": "issue:12175", + "right": "issue:9904", + "accept": false, + "reason": "Qwen image quality complaint vs FluxPipeline image-shape rounding bug; unrelated." + }, + { + "left": "issue:3357", + "right": "issue:7159", + "accept": false, + "reason": "Both are compile-related, but they describe different TorchDynamo/Torch compile failure modes and code paths." + }, + { + "left": "issue:3198", + "right": "issue:4954", + "accept": false, + "reason": "Both are loading-related, but safetensors textual inversion and pickle unpickling errors are different serialization problems." + }, + { + "left": "issue:4724", + "right": "issue:5931", + "accept": false, + "reason": "Img2img behavior with SDXL checkpoint vs nondeterministic generation; unrelated bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 85, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10671", + "issue:11023", + "issue:11088", + "issue:11674", + "issue:11779", + "issue:13105", + "issue:1556", + "issue:1614", + "issue:2364", + "issue:3250", + "issue:3279", + "issue:3284", + "issue:4305", + "issue:4375", + "issue:4935", + "issue:4936", + "issue:4985", + "issue:5227", + "issue:5432", + "issue:5563", + "issue:5565", + "issue:5889", + "issue:6095", + "issue:6124", + "issue:6232", + "issue:6415", + "issue:6527", + "issue:6574", + "issue:7041", + "issue:7159", + "issue:7185", + "issue:7223", + "issue:7306", + "issue:7347", + "issue:7392", + "issue:7538", + "issue:7908", + "issue:8507", + "issue:8511", + "issue:8518", + "issue:8552", + "issue:8649", + "issue:8732", + "issue:8759", + "issue:8827", + "issue:8828", + "issue:8839", + "issue:9515" + ], + "soft_pairs": [ + "issue:3279|issue:3284", + "issue:7041|issue:8552", + "issue:8649|issue:8828", + "issue:10671|issue:11023", + "issue:4935|issue:5432", + "issue:6232|issue:6527", + "issue:8507|issue:8759", + "issue:6095|issue:6574", + "issue:8511|issue:8839", + "issue:4375|issue:5227", + "issue:6124|issue:8732", + "issue:6415|issue:8827", + "issue:5563|issue:7347", + "issue:7185|issue:9515", + "issue:4985|issue:7538", + "issue:11674|issue:11779", + "issue:5889|issue:7223", + "issue:4305|issue:4936", + "issue:1556|issue:1614", + "issue:7392|issue:7908", + "issue:2364|issue:5565", + "issue:3250|issue:7306", + "issue:7159|issue:8518", + "issue:11088|issue:13105" + ], + "prepared_review_unit_hash": "10ead4c8f3dd22fc0e3db2c8c69e4ef90779d92df768cf9a800e69fd23b007fb", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33597, + "estimated_input_tokens": 8400, + "estimated_eval_tokens": 17056 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: most items are unrelated feature requests or distinct bugs across different pipelines, schedulers, and training scripts. None of the soft pairs look like true duplicates under a strict triage standard; they share broad subsystem vocabulary but not the same concrete failure mode.", + "confidence": 0.84, + "canonical_issue_reason": "issue:10671 is the best representative because it is a clear core-library bug report about DiffusionPipeline dtype/device determinism, and it is broader and more central than the other narrowly scoped or application-specific issues.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10671 has the strongest triage value as the most general and reusable core bug report in the set; it is the likeliest anchor for any truly related dtype/device regressions.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3279", + "right": "issue:3284", + "accept": false, + "reason": "Both are DreamBooth LoRA training problems, but one is about resume/checkpoint errors and the other about accelerate failures; different failure modes and likely different fixes." + }, + { + "left": "issue:7041", + "right": "issue:8552", + "accept": false, + "reason": "Both mention crashes/segfaults, but they affect different pipelines with different triggers: num_inference_steps in one case and TextToVideoZero inference in the other." + }, + { + "left": "issue:8649", + "right": "issue:8828", + "accept": false, + "reason": "Both are SD3 training-related, but one is a num_images_per_prompt API regression while the other is a 16GB training error/resource problem." + }, + { + "left": "issue:10671", + "right": "issue:11023", + "accept": false, + "reason": "Core dtype/device determinism in DiffusionPipeline versus blurry images in a custom LPW SDXL pipeline; the symptom and code path do not match." + }, + { + "left": "issue:4935", + "right": "issue:5432", + "accept": false, + "reason": "One asks about using AttnProcsLayers in an SDXL LoRA training script; the other reports blank validation images. Same area, not the same bug." + }, + { + "left": "issue:6232", + "right": "issue:6527", + "accept": false, + "reason": "Both concern add_noise, but they target different schedulers and settings, so they are not the same concrete defect." + }, + { + "left": "issue:8507", + "right": "issue:8759", + "accept": false, + "reason": "train_dreambooth_sd3.py --train_text_encoder failing is a training-script bug; the other is an image_processor warning during validation image casting." + }, + { + "left": "issue:6095", + "right": "issue:6574", + "accept": false, + "reason": "IndexError in SVD scheduler logic and a FutureWarning about expected tensor range are different issues with different severity and behavior." + }, + { + "left": "issue:8511", + "right": "issue:8839", + "accept": false, + "reason": "Text encoders not unloading in SD3 training scripts is not the same as an SD3 LoRA weight error; different code paths and fixes." + }, + { + "left": "issue:4375", + "right": "issue:5227", + "accept": false, + "reason": "Both involve torch.compile, but one is an inference crash while the other is a load_lora_weight compile incompatibility; too different to merge." + }, + { + "left": "issue:6124", + "right": "issue:8732", + "accept": false, + "reason": "FP16 gradient unscale in an SDXL notebook and checkpoint-saving failures in advanced training are separate training bugs." + }, + { + "left": "issue:6415", + "right": "issue:8827", + "accept": false, + "reason": "The first is a feature/support request for FaceID variants; the second is an actual error using ip-adapter-faceid_sdxl. Different intent and problem type." + }, + { + "left": "issue:5563", + "right": "issue:7347", + "accept": false, + "reason": "Both are broad training-error reports, but they describe different scripts, contexts, and likely different underlying regressions." + }, + { + "left": "issue:7185", + "right": "issue:9515", + "accept": false, + "reason": "A general pytorch support question is unrelated to the SD3 transformer RMSNorm implementation issue." + }, + { + "left": "issue:4985", + "right": "issue:7538", + "accept": false, + "reason": "OOM during InstructPix2Pix SDXL training and issues with a custom Fill50k-style dataset are not the same bug." + }, + { + "left": "issue:11674", + "right": "issue:11779", + "accept": false, + "reason": "Feature request for ref images/multiple control videos versus an incorrect mask padding bug in Wan VACE; different change requests." + }, + { + "left": "issue:5889", + "right": "issue:7223", + "accept": false, + "reason": "Stable Video Diffusion and Latte are different video-generation topics; no shared concrete defect." + }, + { + "left": "issue:4305", + "right": "issue:4936", + "accept": false, + "reason": "One is a torch.compile graph break tied to a release, while the other is a broken resume path in DreamBooth LoRA training; not the same code-path problem." + }, + { + "left": "issue:1556", + "right": "issue:1614", + "accept": false, + "reason": "Both produce black images, but one is tied to GPU plus NSFW warning behavior and the other to autocast with Stable Diffusion 2.1; insufficiently specific overlap." + }, + { + "left": "issue:7392", + "right": "issue:7908", + "accept": false, + "reason": "A how-to question about multiple aspect-ratio images and a feature request for aspect-ratio bucketing are related, but they are not the same issue." + }, + { + "left": "issue:2364", + "right": "issue:5565", + "accept": false, + "reason": "General training-script failure versus a specific SDXL DreamBooth LoRA example script failure; too broad to treat as duplicates." + }, + { + "left": "issue:3250", + "right": "issue:7306", + "accept": false, + "reason": "Can't run StableDiffusionKDiffusionPipeline and inability to use float16 in LEditsPPPipelineStableDiffusionXL are different pipelines and different failure causes." + }, + { + "left": "issue:7159", + "right": "issue:8518", + "accept": false, + "reason": "Both are torch.compile problems, but one is about fused LoRA compilation and the other is an Unsupported exception in SD3; distinct concrete bugs." + }, + { + "left": "issue:11088", + "right": "issue:13105", + "accept": false, + "reason": "A GGUF model load error and noisy Wan2.1 T2V output are different stages and different failure modes; not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 86, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10421", + "issue:10569", + "issue:11182", + "issue:11222", + "issue:11223", + "issue:12575", + "issue:13176", + "issue:1704", + "issue:1823", + "issue:2015", + "issue:3422", + "issue:3674", + "issue:3700", + "issue:3816", + "issue:3826", + "issue:4000", + "issue:4213", + "issue:4356", + "issue:4488", + "issue:4566", + "issue:4708", + "issue:4954", + "issue:4985", + "issue:5398", + "issue:5429", + "issue:5466", + "issue:5540", + "issue:5628", + "issue:5892", + "issue:6028", + "issue:6112", + "issue:6149", + "issue:6252", + "issue:6295", + "issue:6561", + "issue:6749", + "issue:7003", + "issue:7168", + "issue:7363", + "issue:776", + "issue:7782", + "issue:8515", + "issue:8626", + "issue:8885", + "issue:929", + "issue:9392", + "issue:9525", + "issue:9889" + ], + "soft_pairs": [ + "issue:4213|issue:4488", + "issue:4566|issue:6252", + "issue:6112|issue:9889", + "issue:5466|issue:7003", + "issue:2015|issue:3826", + "issue:3816|issue:4356", + "issue:5540|issue:6028", + "issue:3674|issue:3700", + "issue:4566|issue:4985", + "issue:4000|issue:7782", + "issue:10421|issue:10569", + "issue:3422|issue:7363", + "issue:6749|issue:8885", + "issue:11182|issue:9525", + "issue:11222|issue:11223", + "issue:12575|issue:13176", + "issue:1704|issue:929", + "issue:1823|issue:776", + "issue:4708|issue:5892", + "issue:7168|issue:8626", + "issue:5628|issue:6295", + "issue:4954|issue:7782", + "issue:6149|issue:6561", + "issue:5398|issue:5429", + "issue:8515|issue:9392" + ], + "prepared_review_unit_hash": "9c41e0e7ec037840636ca3af5ef5ed5add8ac25cb4b235783a3288ad28b188c9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33920, + "estimated_input_tokens": 8480, + "estimated_eval_tokens": 17216 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: it mixes unrelated memory/OOM reports, import/load failures, feature requests, and scheduler/API questions. None of the soft pairs look like the same underlying bug/change closely enough to merge.", + "confidence": 0.86, + "canonical_issue_reason": "No single canonical duplicate stands out; if one issue must anchor the cluster, issue:11223 is the most concrete and actionable bug report.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11223 is the clearest actionable bug report in the set: it describes a specific WAN + layer-wise upcasting + LoRA OOM failure, unlike the more generic questions or broad feature requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4213", + "right": "issue:4488", + "accept": false, + "reason": "Both concern SDXL loading, but one is about from_single_file() needing accelerate and the other about original_ckpt conversion requiring pipeline_class; different failure modes." + }, + { + "left": "issue:4566", + "right": "issue:6252", + "accept": false, + "reason": "Both mention LoRA/checkpoint loading, but one is SDXL LoRA resume training and the other is LoRA weights not loading from a checkpoint; not the same bug." + }, + { + "left": "issue:6112", + "right": "issue:9889", + "accept": false, + "reason": "Both involve sdxl-turbo, but one reports noisy output while the other is a torch segmentation fault during inference; different concrete problems." + }, + { + "left": "issue:5466", + "right": "issue:7003", + "accept": false, + "reason": "Both are shape/load errors, but they affect different pipelines and model paths; no clear shared underlying defect." + }, + { + "left": "issue:2015", + "right": "issue:3826", + "accept": false, + "reason": "A categorical diffusion pipeline request is unrelated to an audio-journey pipeline proposal; different functionality entirely." + }, + { + "left": "issue:3816", + "right": "issue:4356", + "accept": false, + "reason": "Both are import-related, but one is a missing transformers symbol and the other is a missing diffusers dummy module; unrelated dependency issues." + }, + { + "left": "issue:5540", + "right": "issue:6028", + "accept": false, + "reason": "Both are OOM reports, but for different models/pipelines and likely different memory bottlenecks; too broad to be duplicates." + }, + { + "left": "issue:3674", + "right": "issue:3700", + "accept": false, + "reason": "One is about reading metadata.jsonl during LoRA training, the other about a min_snr argument not working; distinct training issues." + }, + { + "left": "issue:4566", + "right": "issue:4985", + "accept": false, + "reason": "Both mention training and memory pressure, but they concern different pipelines and different failure contexts; not the same bug." + }, + { + "left": "issue:4000", + "right": "issue:7782", + "accept": false, + "reason": "Both are conversion/loading problems, but one is ckpt-to-diffusers conversion and the other is a safetensors unpickling error; different root causes." + }, + { + "left": "issue:10421", + "right": "issue:10569", + "accept": false, + "reason": "Both mention CPU memory, but one is a multi-GPU pipeline move leak and the other is high CPU memory use for HunyuanVideo; not the same underlying issue." + }, + { + "left": "issue:3422", + "right": "issue:7363", + "accept": false, + "reason": "These are both about safety checker behavior, but one asks how to disable it and the other asks about SDXL safety checker support; not duplicates." + }, + { + "left": "issue:6749", + "right": "issue:8885", + "accept": false, + "reason": "InstantID reproducibility and clip-retrieval/install modifier-token loading are unrelated problems." + }, + { + "left": "issue:11182", + "right": "issue:9525", + "accept": false, + "reason": "One is an unnecessary download for BF16 loading; the other is lora_scale having no effect in Flux. Different bugs." + }, + { + "left": "issue:11222", + "right": "issue:11223", + "accept": false, + "reason": "A feature request for more WAN LoRAs is not the same as an OOM bug with WAN layer-wise upcasting and LoRAs." + }, + { + "left": "issue:12575", + "right": "issue:13176", + "accept": false, + "reason": "Both mention attention, but they refer to different models and error contexts; no evidence they are the same code-path bug." + }, + { + "left": "issue:1704", + "right": "issue:929", + "accept": false, + "reason": "A general question about an attention block is not the same as a specific duplicate-code complaint about the square root calculation." + }, + { + "left": "issue:1823", + "right": "issue:776", + "accept": false, + "reason": "Swapped comments in depth2img is unrelated to the batch_size>1 image-to-image breakage." + }, + { + "left": "issue:4708", + "right": "issue:5892", + "accept": false, + "reason": "Both are generic import errors, but they cite different missing modules and likely different dependency/version problems." + }, + { + "left": "issue:7168", + "right": "issue:8626", + "accept": false, + "reason": "One reports malformed IP-Adapter image embeddings, the other asks for guidance on multiple IP-adapter images/masks; different problem vs documentation request." + }, + { + "left": "issue:5628", + "right": "issue:6295", + "accept": false, + "reason": "Both involve schedulers/Karras settings, but they describe different sampling artifacts and different schedulers; not the same bug." + }, + { + "left": "issue:4954", + "right": "issue:7782", + "accept": false, + "reason": "Both are loading/conversion errors, but one is a pickle unpickling failure and the other is an invalid load key for safetensors; different failures." + }, + { + "left": "issue:6149", + "right": "issue:6561", + "accept": false, + "reason": "Both involve IP-Adapter loading, but one is a specific model load error and the other is a missing config.json in a repository path; not the same issue." + }, + { + "left": "issue:5398", + "right": "issue:5429", + "accept": false, + "reason": "These are separate hacktoberfest feature tasks in different examples; no shared bug or change." + }, + { + "left": "issue:8515", + "right": "issue:9392", + "accept": false, + "reason": "Duplicate code cleanup for SD3 attention is unrelated to adding SNR shift support in the scheduler." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 87, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:1013", + "issue:10139", + "issue:10180", + "issue:10421", + "issue:10798", + "issue:11033", + "issue:11214", + "issue:11653", + "issue:1195", + "issue:12609", + "issue:12699", + "issue:13043", + "issue:1976", + "issue:2091", + "issue:2321", + "issue:2459", + "issue:3101", + "issue:3651", + "issue:3901", + "issue:4708", + "issue:4830", + "issue:5023", + "issue:5442", + "issue:5529", + "issue:6117", + "issue:6382", + "issue:6444", + "issue:6527", + "issue:6761", + "issue:6911", + "issue:6967", + "issue:713", + "issue:7133", + "issue:7223", + "issue:7229", + "issue:7239", + "issue:7629", + "issue:7982", + "issue:8405", + "issue:8464", + "issue:8469", + "issue:8659", + "issue:9063", + "issue:9141", + "issue:9484", + "issue:9546", + "issue:9971" + ], + "soft_pairs": [ + "issue:9063|issue:9141", + "issue:2459|issue:6911", + "issue:11214|issue:6761", + "issue:6967|issue:7239", + "issue:10180|issue:11653", + "issue:7982|issue:9971", + "issue:5442|issue:7223", + "issue:10421|issue:8464", + "issue:5529|issue:8659", + "issue:10026|issue:9484", + "issue:4708|issue:5023", + "issue:12609|issue:12699", + "issue:4830|issue:8405", + "issue:2091|issue:7133", + "issue:1976|issue:2321", + "issue:3651|issue:3901", + "issue:1013|issue:1195", + "issue:10139|issue:11033", + "issue:7629|issue:9546", + "issue:6444|issue:7229", + "issue:10798|issue:13043", + "issue:6382|issue:8469", + "issue:6117|issue:6527", + "issue:3101|issue:713" + ], + "prepared_review_unit_hash": "3cf80a8175c2f21d534b27730174edef8e2e59ec74c0bbef7004ca9e5dbe7ce4", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34286, + "estimated_input_tokens": 8572, + "estimated_eval_tokens": 17400 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous issue set; only the MultiControlNet tensor-size reports look like a true duplicate pair. The rest share broad subsystem keywords but describe different bugs, scripts, or error sites.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 8405 is the best canonical candidate: it is the clearest, open description of the same MultiControlNet tensor-size bug that 4830 appears to report.", + "canonical_pr_reason": null, + "best_issue_reason": "8405 is the strongest global issue to anchor on because it is the only clear duplicate target and its title/body are the most explicit about the underlying tensor-size failure.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9063", + "right": "issue:9141", + "accept": false, + "reason": "Both are FLUX-related, but one is a tokenizer-loading error and the other is a missing API method; different failure points." + }, + { + "left": "issue:2459", + "right": "issue:6911", + "accept": false, + "reason": "Different code paths and symptoms: xformers attention in training vs class-label handling in a 3D UNet model." + }, + { + "left": "issue:11214", + "right": "issue:6761", + "accept": false, + "reason": "Both are unexpected-kwarg errors, but in unrelated components (UVit layer forward vs VaeImageProcessor.preprocess)." + }, + { + "left": "issue:6967", + "right": "issue:7239", + "accept": false, + "reason": "Both mention SDXL Dreambooth LoRA shape mismatches, but the reported tensors and training scenarios differ enough to treat as separate bugs." + }, + { + "left": "issue:10180", + "right": "issue:11653", + "accept": false, + "reason": "One is about loading multiple LoRAs for Flux Control LoRA; the other is about supporting .alpha keys in HiDream LoRAs." + }, + { + "left": "issue:7982", + "right": "issue:9971", + "accept": false, + "reason": "MultiControlNet from_pipe behavior and DEISMultistepScheduler on FLUX are unrelated issues in the same broad area." + }, + { + "left": "issue:5442", + "right": "issue:7223", + "accept": false, + "reason": "These are different feature/issue topics: ScaleCrafter vs Latte video generation." + }, + { + "left": "issue:10421", + "right": "issue:8464", + "accept": false, + "reason": "A CPU memory leak when moving pipelines across GPUs is not the same as SEGA CPU offload failing with a seed." + }, + { + "left": "issue:5529", + "right": "issue:8659", + "accept": false, + "reason": "Same script family, but one is a generic training bug and the other is a checkpoint-resume/inference failure; not the same bug." + }, + { + "left": "issue:10026", + "right": "issue:9484", + "accept": false, + "reason": "Both involve Flux multi-GPU/deepspeed training, but one is ControlNet memory not reducing and the other is Dreambooth training setup." + }, + { + "left": "issue:4708", + "right": "issue:5023", + "accept": false, + "reason": "Import errors in different modules/pipelines; they do not point to the same underlying defect." + }, + { + "left": "issue:12609", + "right": "issue:12699", + "accept": false, + "reason": "Latent NaNs and prompt-by-prompt video quality degradation are different symptoms and likely different root causes." + }, + { + "left": "issue:4830", + "right": "issue:8405", + "accept": true, + "reason": "Both describe the same MultiControlNet / multiple-controlnets tensor-size failure; the wording and symptom match closely enough to merge." + }, + { + "left": "issue:2091", + "right": "issue:7133", + "accept": false, + "reason": "Both are checkpoint-resume problems in training, but the reported failures are different (multi-GPU pipeline resume vs SDXL text-encoder size mismatch)." + }, + { + "left": "issue:1976", + "right": "issue:2321", + "accept": false, + "reason": "A wrong tokenizer config lookup is unrelated to the EMA-weight copying concern in inference." + }, + { + "left": "issue:3651", + "right": "issue:3901", + "accept": false, + "reason": "One is a multi-GPU Dreambooth runtime issue; the other is a missing requirements.txt file." + }, + { + "left": "issue:1013", + "right": "issue:1195", + "accept": false, + "reason": "Different bugs: pipeline incompatibility with diffusers 6.0 vs memory-efficient attention failing with fp16 weights." + }, + { + "left": "issue:10139", + "right": "issue:11033", + "accept": false, + "reason": "Pipeline init sample-size handling and from_single_file loading are separate model-loading problems." + }, + { + "left": "issue:7629", + "right": "issue:9546", + "accept": false, + "reason": "Both mention OOM, but on different models/workflows and different triggers." + }, + { + "left": "issue:6444", + "right": "issue:7229", + "accept": false, + "reason": "Checkpointing-related, but one is a peft_config attribute error and the other is a checkpoint save issue in advanced training." + }, + { + "left": "issue:10798", + "right": "issue:13043", + "accept": false, + "reason": "Flux quantization device-combination problems are unrelated to Blackwell kernel-image support for sage_hub attention." + }, + { + "left": "issue:6382", + "right": "issue:8469", + "accept": false, + "reason": "An IP-adapter key error during LCM LoRA usage is not the same as corrupt faces from a specific face LoRA." + }, + { + "left": "issue:6117", + "right": "issue:6527", + "accept": false, + "reason": "Both are scheduler add_noise bugs, but they affect different schedulers and are not the same concrete defect." + }, + { + "left": "issue:3101", + "right": "issue:713", + "accept": false, + "reason": "Generic training errors with no evidence of the same underlying code-path or failure." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The assessment is well grounded in the packet and stays conservative on the soft-edge pairs. The 4830/8405 MultiControlNet tensor-size match is the only clearly duplicate-looking pair, and the other rejections are appropriately cautious about similar subsystem keywords without claiming shared root causes." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 88, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10139", + "issue:10334", + "issue:10542", + "issue:10722", + "issue:10969", + "issue:10994", + "issue:11024", + "issue:11050", + "issue:11104", + "issue:11315", + "issue:11581", + "issue:11651", + "issue:12104", + "issue:12107", + "issue:12533", + "issue:12661", + "issue:12771", + "issue:2091", + "issue:2132", + "issue:2156", + "issue:2203", + "issue:2361", + "issue:2780", + "issue:3279", + "issue:3453", + "issue:3537", + "issue:3612", + "issue:3694", + "issue:4790", + "issue:5016", + "issue:5687", + "issue:5757", + "issue:6226", + "issue:6295", + "issue:6382", + "issue:7286", + "issue:7593", + "issue:7722", + "issue:7979", + "issue:7982", + "issue:8503", + "issue:8614", + "issue:8828", + "issue:8885", + "issue:9047", + "issue:9142", + "issue:9227", + "issue:9971" + ], + "soft_pairs": [ + "issue:11024|issue:7593", + "issue:11581|issue:11651", + "issue:10139|issue:7982", + "issue:2132|issue:3279", + "issue:6382|issue:7722", + "issue:10542|issue:11104", + "issue:10994|issue:9227", + "issue:11050|issue:2780", + "issue:3537|issue:3612", + "issue:7979|issue:8614", + "issue:10722|issue:10969", + "issue:2361|issue:3694", + "issue:12104|issue:12771", + "issue:2156|issue:2203", + "issue:8503|issue:8828", + "issue:12533|issue:12661", + "issue:10334|issue:11315", + "issue:9047|issue:9971", + "issue:5016|issue:5757", + "issue:5687|issue:6295", + "issue:2091|issue:3453", + "issue:12107|issue:9142", + "issue:4790|issue:6226", + "issue:7286|issue:8885" + ], + "prepared_review_unit_hash": "a29ccd7339d7254490bfeee7947a870c277b096486c7fc3fdf3c4108daaf4092", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34717, + "estimated_input_tokens": 8680, + "estimated_eval_tokens": 17616 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a collection of unrelated issue reports across different models, schedulers, and training scripts. The only plausible duplicate pair is the Stable Diffusion conversion-script loading failure (issue 4790 / 6226); the rest should stay separate.", + "confidence": 0.79, + "canonical_issue_reason": "Issue 4790 is the clearest root-cause report: it names the exact conversion script and the incompatible output behavior directly, making it the best representative of the only likely duplicate pair.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4790 is the most concrete and technically specific issue here, with a clear failure mode and the strongest duplicate linkage to 6226.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11024", + "right": "issue:7593", + "accept": false, + "reason": "Both involve IP-Adapter-related failures, but one is a SiglipImageProcessor `.to()` misuse and the other is a missing `image_projection_layers` path in pipeline prep; different bugs." + }, + { + "left": "issue:11581", + "right": "issue:11651", + "accept": false, + "reason": "Both mention FLUX loading, but one is an unexpected `dtype` constructor argument error and the other is a FluxControl/flux-fill-lora loading problem; not the same code-path." + }, + { + "left": "issue:10139", + "right": "issue:7982", + "accept": false, + "reason": "Pipeline initialization with `sample_size` is unrelated to `from_pipe` failing for `MultiControlNetModel`; same area, different defects." + }, + { + "left": "issue:2132", + "right": "issue:3279", + "accept": false, + "reason": "Both are DreamBooth checkpoint/resume topics, but the errors differ (`trackers` missing vs resume-from-checkpoint issues) and point to different failures." + }, + { + "left": "issue:6382", + "right": "issue:7722", + "accept": false, + "reason": "Both involve IP-Adapter in SDXL-ish workflows, but one is a key mismatch after LCM LoRA training and the other is an Animatediff-ControlNet integration error; not the same bug." + }, + { + "left": "issue:10542", + "right": "issue:11104", + "accept": false, + "reason": "Both are video-training/runtime problems, but one is Hunyuan batch-size breakage and the other is LTX-Video offload failure; distinct issues." + }, + { + "left": "issue:10994", + "right": "issue:9227", + "accept": false, + "reason": "Same FLUX DreamBooth script family, but one is specifically batch-size > 1 crashing while the other is a general model-running problem; too little evidence they are the same bug." + }, + { + "left": "issue:11050", + "right": "issue:2780", + "accept": false, + "reason": "Different training-time dtype/precision problems: prompt embeddings not cast in one, FP16 gradient unscale in the other." + }, + { + "left": "issue:3537", + "right": "issue:3612", + "accept": false, + "reason": "One is a conversion script request, the other is a question about creating ControlNet without a model; not duplicate reports of the same defect." + }, + { + "left": "issue:7979", + "right": "issue:8614", + "accept": false, + "reason": "Both mention config files, but one is invalid JSON and the other is a missing `config.json`; different failure modes." + }, + { + "left": "issue:10722", + "right": "issue:10969", + "accept": false, + "reason": "Tensor-size mismatch during DreamBooth prior preservation is unrelated to the FLUX-Control zero3 `'weight' must be 2-D` failure." + }, + { + "left": "issue:2361", + "right": "issue:3694", + "accept": false, + "reason": "Checkpoint saving crash and missing model/config files are both training-script issues, but they are different bugs." + }, + { + "left": "issue:12104", + "right": "issue:12771", + "accept": false, + "reason": "Both are out-of-bounds errors, but one is an index error from empty tensors and the other is a scheduler-specific beta/Karras issue." + }, + { + "left": "issue:2156", + "right": "issue:2203", + "accept": false, + "reason": "CPU-vs-GPU training behavior is unrelated to model download location." + }, + { + "left": "issue:8503", + "right": "issue:8828", + "accept": false, + "reason": "Both reference SD3 training failures, but one is gradient checkpointing and the other is a 16GB memory/training error; not the same defect." + }, + { + "left": "issue:12533", + "right": "issue:12661", + "accept": false, + "reason": "Context-parallelism/offload hook conflicts are broader and different from the ChronoEdit crash; no clear shared underlying bug." + }, + { + "left": "issue:10334", + "right": "issue:11315", + "accept": false, + "reason": "Both mention MPS problems, but they concern different models and different root causes (`NaN`s/grey images vs float64 rope implementation)." + }, + { + "left": "issue:9047", + "right": "issue:9971", + "accept": false, + "reason": "One is FLUX not working on MPS devices, the other is DEISMultistepScheduler failing on FLUX; same ecosystem, different issue." + }, + { + "left": "issue:5016", + "right": "issue:5757", + "accept": false, + "reason": "Text encoder training failure and resume-from-checkpoint errors are separate DreamBooth LoRA problems." + }, + { + "left": "issue:5687", + "right": "issue:6295", + "accept": false, + "reason": "Both involve Karras-related image artifacts, but they cite different schedulers and symptoms; not enough to treat as the same bug." + }, + { + "left": "issue:2091", + "right": "issue:3453", + "accept": false, + "reason": "Checkpoint resume in multi-GPU text-to-image training is unrelated to the BFloat16 CUDA triu/tril runtime error." + }, + { + "left": "issue:12107", + "right": "issue:9142", + "accept": false, + "reason": "A custom-object tracker initialization error is unrelated to Hunyuan DiT multiple-ControlNet loading via list handling." + }, + { + "left": "issue:4790", + "right": "issue:6226", + "accept": true, + "reason": "Both point to the same conversion script producing outputs that downstream loaders cannot read; 6226 looks like another manifestation of the same incompatibility." + }, + { + "left": "issue:7286", + "right": "issue:8885", + "accept": false, + "reason": "Custom Diffusion cross-attention weight loading and clip-retrieval/modifier-token setup errors are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft edges. The only accepted pair, issue 4790 / 6226, is reasonably supported by the shared conversion-script loading failure theme, and the other pairs are appropriately kept separate." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 89, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10382", + "issue:11432", + "issue:11922", + "issue:2161", + "issue:2299", + "issue:2830", + "issue:3279", + "issue:3346", + "issue:4286", + "issue:4436", + "issue:4453", + "issue:4566", + "issue:4580", + "issue:460", + "issue:4631", + "issue:4974", + "issue:5197", + "issue:5226", + "issue:5317", + "issue:5341", + "issue:5886", + "issue:5997", + "issue:6008", + "issue:6069", + "issue:6117", + "issue:6226", + "issue:6584", + "issue:6732", + "issue:7053", + "issue:7138", + "issue:7168", + "issue:7238", + "issue:7440", + "issue:7879", + "issue:7982", + "issue:8359", + "issue:8469", + "issue:8827", + "issue:8900", + "issue:9142", + "issue:9209", + "issue:9309", + "issue:9331", + "issue:938", + "issue:9421", + "issue:9643", + "issue:9804" + ], + "soft_pairs": [ + "issue:6732|issue:7053", + "issue:6226|issue:9421", + "issue:3279|issue:3346", + "issue:2299|issue:460", + "issue:4436|issue:4453", + "issue:7440|issue:7879", + "issue:9209|issue:9804", + "issue:6069|issue:6117", + "issue:4286|issue:5226", + "issue:11922|issue:9309", + "issue:2161|issue:4566", + "issue:5317|issue:5341", + "issue:6008|issue:8469", + "issue:9142|issue:9643", + "issue:5886|issue:8827", + "issue:11432|issue:7982", + "issue:8359|issue:8900", + "issue:4974|issue:6584", + "issue:5997|issue:7138", + "issue:10026|issue:5197", + "issue:10382|issue:9331", + "issue:2830|issue:938", + "issue:4580|issue:4631", + "issue:7168|issue:7238" + ], + "prepared_review_unit_hash": "156897c6af5661483b79dae1a0d243645353592ca2810563778b19e09784af6f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33785, + "estimated_input_tokens": 8447, + "estimated_eval_tokens": 17150 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated Diffusers issues spanning loaders, schedulers, IP-Adapter, Flux, and training scripts. The only clear duplicate-like pair is the DreamBooth LoRA resume-from-checkpoint reports (3279/3346).", + "confidence": 0.86, + "canonical_issue_reason": "issue:3346 is the cleaner, more concrete report: it explicitly targets examples/dreambooth/train_dreambooth_lora.py and the resume_from_checkpoint gap, making it the best anchor for the paired resume bug.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3346 is the strongest representative issue in this set because it is specific, actionable, and directly tied to the duplicated resume_from_checkpoint problem in a named script.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6732", + "right": "issue:7053", + "accept": false, + "reason": "Different problem classes: scheduler docs for trained_betas vs a 3D UNet class-conditioning bug." + }, + { + "left": "issue:6226", + "right": "issue:9421", + "accept": false, + "reason": "Unrelated conversion/loading failures affecting different model flows and different root causes." + }, + { + "left": "issue:3279", + "right": "issue:3346", + "accept": true, + "reason": "Same underlying DreamBooth LoRA resume-from-checkpoint problem in the same train_dreambooth_lora.py path; one is a bug report, the other requests the missing support." + }, + { + "left": "issue:2299", + "right": "issue:460", + "accept": false, + "reason": "Different subsystems and failures: checkpoint conversion/import vs ONNX runtime dependency selection." + }, + { + "left": "issue:4436", + "right": "issue:4453", + "accept": false, + "reason": "Both are model conversion topics, but they concern different artifacts and workflows (CivitAI VAE conversion vs SDXL LoRA export)." + }, + { + "left": "issue:7440", + "right": "issue:7879", + "accept": false, + "reason": "Related dataset names, but one is dataset availability and the other is a dataset/caption asset request; not the same bug or change." + }, + { + "left": "issue:9209", + "right": "issue:9804", + "accept": false, + "reason": "Network/mirror connectivity issue versus local ControlNet loading failure; different code paths." + }, + { + "left": "issue:6069", + "right": "issue:6117", + "accept": false, + "reason": "Both are scheduler add_noise bugs, but they affect different schedulers and appear to be separate concrete defects." + }, + { + "left": "issue:4286", + "right": "issue:5226", + "accept": false, + "reason": "Different LoRA-loading failures in different SDXL pipelines; too broad to treat as one concrete bug." + }, + { + "left": "issue:11922", + "right": "issue:9309", + "accept": false, + "reason": "Both involve Flux, but one is a fill-dev runtime problem and the other is a ControlNet pipeline bug; not the same issue." + }, + { + "left": "issue:2161", + "right": "issue:4566", + "accept": false, + "reason": "Inpainting LoRA training versus SDXL checkpoint resume support are different training scenarios and fixes." + }, + { + "left": "issue:5317", + "right": "issue:5341", + "accept": false, + "reason": "Documentation/API update and example-script update are related, but not the same underlying bug or change." + }, + { + "left": "issue:6008", + "right": "issue:8469", + "accept": false, + "reason": "Different IP-Adapter face-related failures with different models and symptoms." + }, + { + "left": "issue:9142", + "right": "issue:9643", + "accept": false, + "reason": "Both mention multiple ControlNets, but they target different models/pipelines and different errors." + }, + { + "left": "issue:5886", + "right": "issue:8827", + "accept": false, + "reason": "IP-Adapter face model support request versus a FaceID SDXL usage error; not the same concrete problem." + }, + { + "left": "issue:11432", + "right": "issue:7982", + "accept": false, + "reason": "Completely different bugs: from_pretrained dtype handling vs from_pipe with MultiControlNetModel." + }, + { + "left": "issue:8359", + "right": "issue:8900", + "accept": false, + "reason": "Both involve from_single_file, but one is a general custom-checkpoint failure and the other is a specific load question for an SDXL refiner." + }, + { + "left": "issue:4974", + "right": "issue:6584", + "accept": false, + "reason": "Both are conversion issues, but they involve different models and distinct conversion failures." + }, + { + "left": "issue:5997", + "right": "issue:7138", + "accept": false, + "reason": "SDXL tutorial type mismatch versus SDXL UNet structure mismatch are separate issues." + }, + { + "left": "issue:10026", + "right": "issue:5197", + "accept": false, + "reason": "Different multi-GPU complaints: memory not reducing under DeepSpeed stage-3 versus training being slower on SD1.5." + }, + { + "left": "issue:10382", + "right": "issue:9331", + "accept": false, + "reason": "VAE forward return-type mismatch and scheduler timestep indexing are unrelated bugs." + }, + { + "left": "issue:2830", + "right": "issue:938", + "accept": false, + "reason": "Different application domains: video generation question versus text-to-motion model topic." + }, + { + "left": "issue:4580", + "right": "issue:4631", + "accept": false, + "reason": "Both are scheduler/Karras-related, but they are different schedulers with different failure modes." + }, + { + "left": "issue:7168", + "right": "issue:7238", + "accept": false, + "reason": "IP-Adapter embedding-shape confusion versus IP-Adapter masking; not the same bug or fix." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted soft-edge pair, issue:3279 / issue:3346, is well supported by the titles and shared train_dreambooth_lora.py resume_from_checkpoint context. The remaining pairs are appropriately rejected as different bugs or too broad to merge confidently." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 90, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10180", + "issue:10650", + "issue:10772", + "issue:10823", + "issue:10866", + "issue:10937", + "issue:11169", + "issue:11560", + "issue:12396", + "issue:12547", + "issue:12656", + "issue:12771", + "issue:1304", + "issue:1534", + "issue:1556", + "issue:2107", + "issue:2596", + "issue:2988", + "issue:3124", + "issue:3250", + "issue:3728", + "issue:3799", + "issue:3813", + "issue:434", + "issue:4724", + "issue:4806", + "issue:4925", + "issue:5012", + "issue:5026", + "issue:5152", + "issue:5412", + "issue:5432", + "issue:5603", + "issue:5753", + "issue:5846", + "issue:5997", + "issue:6407", + "issue:7041", + "issue:7377", + "issue:7420", + "issue:861", + "issue:9112", + "issue:9237", + "issue:9501", + "issue:9619", + "issue:9907", + "issue:9936" + ], + "soft_pairs": [ + "issue:2988|issue:7041", + "issue:12656|issue:12771", + "issue:3728|issue:6407", + "issue:1534|issue:434", + "issue:10180|issue:12396", + "issue:4925|issue:5997", + "issue:5012|issue:5432", + "issue:9237|issue:9501", + "issue:9907|issue:9936", + "issue:10772|issue:9619", + "issue:10650|issue:10866", + "issue:10823|issue:12547", + "issue:10937|issue:7420", + "issue:1304|issue:3813", + "issue:4724|issue:7041", + "issue:5026|issue:5152", + "issue:5412|issue:5846", + "issue:11169|issue:11560", + "issue:1556|issue:2107", + "issue:3124|issue:5753", + "issue:2596|issue:5603", + "issue:7377|issue:9112", + "issue:3250|issue:861", + "issue:3799|issue:4806" + ], + "prepared_review_unit_hash": "07426f30ce51dcc154f70ab83ab9872d51747137e6b4ef46593d1516cef0f3f5", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33423, + "estimated_input_tokens": 8356, + "estimated_eval_tokens": 16968 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft-edge pair is strong enough to accept. The cluster is mostly heterogeneous issue reports with only weak title-level similarity between a few items. In particular, 5412/5846 are both SDXL LoRA training issues, but they are different scripts and the packet provides no body-level evidence to call them the same bug.", + "confidence": 0.91, + "canonical_issue_reason": "issue:5412 is the broadest title in the only loosely related SDXL LoRA resume/checkpoint subset, but the evidence is too thin to treat it as a confirmed duplicate anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5412 is the closest representative of the weak SDXL LoRA training subgroup, even though it should not be merged with 5846 on the available evidence.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2988", + "right": "issue:7041", + "accept": false, + "reason": "Both are scheduler/runtime crashes, but they describe different failure conditions and code paths." + }, + { + "left": "issue:12656", + "right": "issue:12771", + "accept": false, + "reason": "Different subsystems and different out-of-bounds causes; only the symptom is similar." + }, + { + "left": "issue:3728", + "right": "issue:6407", + "accept": false, + "reason": "Both are requests for new pipelines, but they are unrelated features and not the same change." + }, + { + "left": "issue:1534", + "right": "issue:434", + "accept": false, + "reason": "Both mention training notebooks, but they are different notebook/version problems." + }, + { + "left": "issue:10180", + "right": "issue:12396", + "accept": false, + "reason": "Both involve adapters/LoRA, but one is loading multiple LoRAs and the other is delete_adapters/leaf_level behavior." + }, + { + "left": "issue:4925", + "right": "issue:5997", + "accept": false, + "reason": "Different SDXL ControlNet problems: OOM during distributed training versus a model-type tutorial/import mismatch." + }, + { + "left": "issue:5012", + "right": "issue:5432", + "accept": false, + "reason": "Same script, but different bugs: text encoder training support versus blank validation images." + }, + { + "left": "issue:9237", + "right": "issue:9501", + "accept": false, + "reason": "Both are Flux Dreambooth-related, but one is a general training issue and the other is delayed model saving." + }, + { + "left": "issue:9907", + "right": "issue:9936", + "accept": false, + "reason": "Both are Flux controlnet training reports, but sequence-length warnings and NCCL timeouts are different issues." + }, + { + "left": "issue:10772", + "right": "issue:9619", + "accept": false, + "reason": "ControlNet-related, but one is adding Sana support and the other is interrupt support for a pipeline." + }, + { + "left": "issue:10650", + "right": "issue:10866", + "accept": false, + "reason": "Both are Lumina issues, but one is a shape error and the other is a LoRA compatibility problem." + }, + { + "left": "issue:10823", + "right": "issue:12547", + "accept": false, + "reason": "Unrelated training/inference issues: missing output files versus a required argument error." + }, + { + "left": "issue:10937", + "right": "issue:7420", + "accept": false, + "reason": "Both mention torch.compile, but the reported failures are not the same concrete compile-path bug." + }, + { + "left": "issue:1304", + "right": "issue:3813", + "accept": false, + "reason": "General training help request versus a multi-GPU parallelism question; not duplicates." + }, + { + "left": "issue:4724", + "right": "issue:7041", + "accept": false, + "reason": "Different pipelines and different failure modes; only the wording is loosely error-like." + }, + { + "left": "issue:5026", + "right": "issue:5152", + "accept": false, + "reason": "Both are import/configuration bugs, but they affect different objects and versions." + }, + { + "left": "issue:5412", + "right": "issue:5846", + "accept": false, + "reason": "Related SDXL LoRA training scripts, but the packet only shows titles; different scripts and no body-level evidence make the duplicate claim too weak." + }, + { + "left": "issue:11169", + "right": "issue:11560", + "accept": false, + "reason": "Both are import errors, but they are different missing/binary-incompatibility problems." + }, + { + "left": "issue:1556", + "right": "issue:2107", + "accept": false, + "reason": "Both mention black images, but the triggers and contexts are different." + }, + { + "left": "issue:3124", + "right": "issue:5753", + "accept": false, + "reason": "Different conversion/load-lora issues in different pipelines; not the same bug." + }, + { + "left": "issue:2596", + "right": "issue:5603", + "accept": false, + "reason": "Both are documentation/import-related, but they reference different missing symbols and fixes." + }, + { + "left": "issue:7377", + "right": "issue:9112", + "accept": false, + "reason": "Different model pipelines and different inference errors." + }, + { + "left": "issue:3250", + "right": "issue:861", + "accept": false, + "reason": "One is a pipeline execution problem, the other is a model conversion problem." + }, + { + "left": "issue:3799", + "right": "issue:4806", + "accept": false, + "reason": "Both are type-related reports, but they concern different classes and different API surfaces." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The writeup is mostly conservative, but it overreaches on the one accepted soft edge. 5412 and 5846 are in related SDXL LoRA training scripts, but the packet only gives titles, and they are different scripts with no body-level evidence here; calling them the same bug / same script is too strong. Because the evaluation should stay conservative when evidence is thin, I can\u2019t accept this summary as grounded enough." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 91, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10514", + "issue:10804", + "issue:10883", + "issue:10962", + "issue:11432", + "issue:11627", + "issue:11651", + "issue:1197", + "issue:12752", + "issue:1919", + "issue:2107", + "issue:2132", + "issue:2156", + "issue:2218", + "issue:2616", + "issue:3250", + "issue:3284", + "issue:3454", + "issue:3651", + "issue:3954", + "issue:4080", + "issue:4356", + "issue:4390", + "issue:4936", + "issue:5395", + "issue:5518", + "issue:557", + "issue:5798", + "issue:5799", + "issue:5919", + "issue:6131", + "issue:6149", + "issue:6159", + "issue:6224", + "issue:6278", + "issue:7223", + "issue:746", + "issue:761", + "issue:8732", + "issue:9187", + "issue:9297", + "issue:9403", + "issue:9448", + "issue:9576", + "issue:9673", + "issue:9744", + "issue:9825", + "issue:9841" + ], + "soft_pairs": [ + "issue:4356|issue:4936", + "issue:7223|issue:9744", + "issue:2132|issue:2156", + "issue:2218|issue:761", + "issue:10804|issue:11651", + "issue:1197|issue:4080", + "issue:2132|issue:3454", + "issue:3250|issue:746", + "issue:1919|issue:4390", + "issue:3954|issue:6278", + "issue:2107|issue:557", + "issue:6224|issue:8732", + "issue:11627|issue:9448", + "issue:9403|issue:9825", + "issue:9576|issue:9841", + "issue:2132|issue:3284", + "issue:11432|issue:9187", + "issue:3651|issue:3954", + "issue:5799|issue:6159", + "issue:10883|issue:12752", + "issue:5798|issue:5799", + "issue:5395|issue:5518", + "issue:2616|issue:5919", + "issue:6131|issue:6149", + "issue:10514|issue:10962", + "issue:9297|issue:9673" + ], + "prepared_review_unit_hash": "82b4efaa8ce64709b82358c34e6a384be8ea992155246f5ffb7f0875ef2ed369", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34259, + "estimated_input_tokens": 8565, + "estimated_eval_tokens": 17386 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated pipeline feature requests, LoRA/IP-Adapter loading bugs, training-script failures, and docs/examples issues. None of the soft pairs look like the same underlying bug or mergeable change, so I would not deduplicate any of them.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4356", + "right": "issue:4936", + "accept": false, + "reason": "Different failures in different example flows: a missing module on 0.19.2 versus DreamBooth resume being broken." + }, + { + "left": "issue:7223", + "right": "issue:9744", + "accept": false, + "reason": "Both are video-model feature requests, but for different models (Latte vs Mochi) and not the same change." + }, + { + "left": "issue:2132", + "right": "issue:2156", + "accept": false, + "reason": "Same DreamBooth script area, but one is an Accelerator trackers attribute error and the other is CPU-vs-GPU training behavior." + }, + { + "left": "issue:2218", + "right": "issue:761", + "accept": false, + "reason": "Unrelated training problems: overfitting/overtraining versus an 8-bit Adam optimizer failure." + }, + { + "left": "issue:10804", + "right": "issue:11651", + "accept": false, + "reason": "Both mention FLUX LoRA loading, but they involve different models/pipelines and distinct loader failures." + }, + { + "left": "issue:1197", + "right": "issue:4080", + "accept": false, + "reason": "Completely different feature requests: a community OpenAI diffusion pipeline versus SDXL inpainting support." + }, + { + "left": "issue:2132", + "right": "issue:3454", + "accept": false, + "reason": "Both touch DreamBooth scripts, but the reported bugs are different and not clearly the same code-path failure." + }, + { + "left": "issue:3250", + "right": "issue:746", + "accept": false, + "reason": "Different pipelines and different problems: K-Diffusion pipeline runtime failure versus ONNX revision loading." + }, + { + "left": "issue:1919", + "right": "issue:4390", + "accept": false, + "reason": "Both are requirements-related, but one is a missing dependency in a dreambooth example and the other is a generic missing-requirements report." + }, + { + "left": "issue:3954", + "right": "issue:6278", + "accept": false, + "reason": "Both mention multi-GPU training, but one is a scheduler step-count bug and the other is a distinct training run failure." + }, + { + "left": "issue:2107", + "right": "issue:557", + "accept": false, + "reason": "Different image-quality complaints with different algorithms/contexts; not the same bug." + }, + { + "left": "issue:6224", + "right": "issue:8732", + "accept": false, + "reason": "Both are training issues, but one is TorchDynamo-related and the other is checkpoint saving in advanced training." + }, + { + "left": "issue:11627", + "right": "issue:9448", + "accept": false, + "reason": "Both involve IP-Adapter, but on different pipelines and with different symptoms; not the same fixable code-path problem." + }, + { + "left": "issue:9403", + "right": "issue:9825", + "accept": false, + "reason": "Related domain, but one is Xlabs IP-Adapter support and the other is general FLUX IPAdapter support; scope differs too much to merge." + }, + { + "left": "issue:9576", + "right": "issue:9841", + "accept": false, + "reason": "Unrelated issues: pipeline submodule loading of torch_dtype versus a DreamBooth SDXL LoRA TypeError with use_dora=False." + }, + { + "left": "issue:2132", + "right": "issue:3284", + "accept": false, + "reason": "Both are accelerate/DreamBooth script complaints, but the concrete failures are not the same and could require different fixes." + }, + { + "left": "issue:11432", + "right": "issue:9187", + "accept": false, + "reason": "Different loading/config bugs: torch_dtype='auto' handling versus SDXL IP-Adapter behavior after the Kolors update." + }, + { + "left": "issue:3651", + "right": "issue:3954", + "accept": false, + "reason": "Both mention multi-GPU, but one is a run failure and the other is a learning-rate scheduler accounting bug." + }, + { + "left": "issue:5799", + "right": "issue:6159", + "accept": false, + "reason": "Different keyword-argument support issues in different pipelines; not the same underlying bug." + }, + { + "left": "issue:10883", + "right": "issue:12752", + "accept": false, + "reason": "Separate feature requests for different model families and different pipeline additions." + }, + { + "left": "issue:5798", + "right": "issue:5799", + "accept": false, + "reason": "Both are API-argument problems, but they affect different pipelines and different parameters." + }, + { + "left": "issue:5395", + "right": "issue:5518", + "accept": false, + "reason": "Both involve LoRAs, but one is PEFT combination behavior and the other is a ModuleList attribute error." + }, + { + "left": "issue:2616", + "right": "issue:5919", + "accept": false, + "reason": "Different LoRA training internals failures: saving attn processors versus missing set_lora_layer." + }, + { + "left": "issue:6131", + "right": "issue:6149", + "accept": false, + "reason": "Both are IP-Adapter load problems, but they concern different variants/models and distinct errors." + }, + { + "left": "issue:10514", + "right": "issue:10962", + "accept": false, + "reason": "Different pipelines and different shape/config issues; no shared underlying bug is evident." + }, + { + "left": "issue:9297", + "right": "issue:9673", + "accept": false, + "reason": "Both are about multiple LoRAs and performance, but one is linear load-time growth and the other is high CPU usage; too vague to treat as the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 92, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10302", + "issue:10392", + "issue:10428", + "issue:10512", + "issue:10542", + "issue:10672", + "issue:10963", + "issue:11010", + "issue:11199", + "issue:11363", + "issue:11436", + "issue:11710", + "issue:11777", + "issue:12396", + "issue:12738", + "issue:13079", + "issue:1565", + "issue:2089", + "issue:2412", + "issue:2695", + "issue:2707", + "issue:2844", + "issue:2991", + "issue:3094", + "issue:3481", + "issue:4307", + "issue:4402", + "issue:455", + "issue:4566", + "issue:457", + "issue:4849", + "issue:5128", + "issue:579", + "issue:6226", + "issue:6460", + "issue:6839", + "issue:684", + "issue:7142", + "issue:8435", + "issue:8543", + "issue:8659", + "issue:8708", + "issue:9096", + "issue:9200", + "issue:9258", + "issue:9264", + "issue:9861" + ], + "soft_pairs": [ + "issue:11010|issue:9861", + "issue:2089|issue:684", + "issue:6460|issue:9264", + "issue:8543|issue:8708", + "issue:4402|issue:6839", + "issue:455|issue:457", + "issue:11777|issue:9258", + "issue:2844|issue:4307", + "issue:2707|issue:6226", + "issue:10542|issue:12738", + "issue:10302|issue:12396", + "issue:4566|issue:8659", + "issue:4849|issue:579", + "issue:11363|issue:13079", + "issue:3481|issue:7142", + "issue:5128|issue:8435", + "issue:10428|issue:9096", + "issue:11436|issue:9200", + "issue:2089|issue:2412", + "issue:1565|issue:3094", + "issue:2695|issue:2991", + "issue:10392|issue:10512", + "issue:10672|issue:11710", + "issue:10963|issue:11199" + ], + "prepared_review_unit_hash": "9a3ceaa30b0c33814070668a8c99883196830b12026005521143c55baeccb98a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33318, + "estimated_input_tokens": 8330, + "estimated_eval_tokens": 16916 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a loose thematic collection of Diffusers issues (Flux, training, import/runtime errors, memory/dtype problems), not a true duplicate cluster. None of the soft-edge pairs looks like the same concrete bug/change, so all should be rejected.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10302 is the broadest Flux inference-regression report in the set, but the surrounding items are too heterogeneous for a true canonical duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11010", + "right": "issue:9861", + "accept": false, + "reason": "Both mention Flux training, but one is about supporting a new Chroma architecture and the other about weights not updating; different problems." + }, + { + "left": "issue:2089", + "right": "issue:684", + "accept": false, + "reason": "Both involve memory, but one is DreamBooth OOM during training and the other is AMD-specific training memory optimization behavior; not the same bug." + }, + { + "left": "issue:6460", + "right": "issue:9264", + "accept": false, + "reason": "One is an endless model-loading failure, the other is a feature request for a Flux inpainting model." + }, + { + "left": "issue:8543", + "right": "issue:8708", + "accept": false, + "reason": "Both are SD3 training-example issues, but one is gradient checkpointing failure and the other is a missing VAE config field; distinct root causes." + }, + { + "left": "issue:4402", + "right": "issue:6839", + "accept": false, + "reason": "Both are from_single_file problems, but they refer to different pipelines and different failure modes." + }, + { + "left": "issue:455", + "right": "issue:457", + "accept": false, + "reason": "Different MPS issues: one is an index.Tensor NotImplementedError, the other is blue artifacts." + }, + { + "left": "issue:11777", + "right": "issue:9258", + "accept": false, + "reason": "Training-LoRA help question versus a performance discrepancy between Linux and Windows; not a duplicate bug report." + }, + { + "left": "issue:2844", + "right": "issue:4307", + "accept": false, + "reason": "Both mention loading-related errors, but one is explicit image embeddings in StableUnCLIPImg2Img and the other is local_files_only from_pretrained behavior." + }, + { + "left": "issue:2707", + "right": "issue:6226", + "accept": false, + "reason": "Both reference the conversion script, but one is a syntax error and the other is downstream loading errors in webui." + }, + { + "left": "issue:10542", + "right": "issue:12738", + "accept": false, + "reason": "Both are batch-size>1 failures, but they are different pipelines and different concrete errors." + }, + { + "left": "issue:10302", + "right": "issue:12396", + "accept": false, + "reason": "Both are inference/runtime issues, but one is FP8 noise and the other is leaf_level plus delete_adapters errors; not the same bug." + }, + { + "left": "issue:4566", + "right": "issue:8659", + "accept": false, + "reason": "Both involve resume/load behavior for LoRA/text-to-image training, but one is SDXL checkpoint resume and the other is train_text_to_image_sdxl infer/resume failure." + }, + { + "left": "issue:4849", + "right": "issue:579", + "accept": false, + "reason": "Multiple GPU training vs missing config.json during textual inversion are unrelated." + }, + { + "left": "issue:11363", + "right": "issue:13079", + "accept": false, + "reason": "Both mention OOM, but one is a ControlNet inference example and the other is FLUX.2-klein in a for-loop with different images." + }, + { + "left": "issue:3481", + "right": "issue:7142", + "accept": false, + "reason": "Both are about inference determinism/consistency, but one is DDIM step-count variability and the other is SDXL-lightning mismatch with webui." + }, + { + "left": "issue:5128", + "right": "issue:8435", + "accept": false, + "reason": "Both are loading issues, but one is local safetensors with XLPipeline.from_single_file and the other is a generic runtime error from from_single_file." + }, + { + "left": "issue:10428", + "right": "issue:9096", + "accept": false, + "reason": "Both are Flux inference errors, but one is Ascend NPU import/runtime failure and the other is torch.half NaN output on inference." + }, + { + "left": "issue:11436", + "right": "issue:9200", + "accept": false, + "reason": "Both are dtype errors, but they affect different pipelines and different mismatched types (Half vs BFloat16 in Hidream vs SDXL ControlNet dtype regression)." + }, + { + "left": "issue:2089", + "right": "issue:2412", + "accept": false, + "reason": "Both are training-related, but one is CUDA OOM and the other is a generic DreamBooth error; not the same concrete failure." + }, + { + "left": "issue:1565", + "right": "issue:3094", + "accept": false, + "reason": "Both are OOM complaints, but one is inference device placement and the other is DreamBooth fine-tuning memory usage." + }, + { + "left": "issue:2695", + "right": "issue:2991", + "accept": false, + "reason": "Both involve training/validation behavior, but one is TensorBoard validation failure in ControlNet training and the other is mixed-precision failure in the ControlNet example." + }, + { + "left": "issue:10392", + "right": "issue:10512", + "accept": false, + "reason": "Both mention Flux LoRA/load behavior, but one is a specific model combo and the other is Quanto Flux LoRA loading; too different to merge." + }, + { + "left": "issue:10672", + "right": "issue:11710", + "accept": false, + "reason": "One is a request to support callback_on_step_end for pipelines, the other is a request to support MagCache; separate feature requests." + }, + { + "left": "issue:10963", + "right": "issue:11199", + "accept": false, + "reason": "Different import failures for unrelated modules: AutoencoderKLWan versus diffusers.pipelines.onnx_utils." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 93, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10421", + "issue:10447", + "issue:10757", + "issue:11225", + "issue:11241", + "issue:11352", + "issue:11374", + "issue:11561", + "issue:1185", + "issue:12011", + "issue:13067", + "issue:13079", + "issue:1919", + "issue:1944", + "issue:2091", + "issue:2806", + "issue:2904", + "issue:3191", + "issue:3250", + "issue:378", + "issue:4368", + "issue:4398", + "issue:4733", + "issue:4790", + "issue:4837", + "issue:4849", + "issue:5226", + "issue:5412", + "issue:5892", + "issue:6176", + "issue:6524", + "issue:6561", + "issue:6790", + "issue:6794", + "issue:6894", + "issue:7197", + "issue:7238", + "issue:7310", + "issue:771", + "issue:817", + "issue:8493", + "issue:8511", + "issue:8790", + "issue:8950", + "issue:9109", + "issue:9358", + "issue:9876" + ], + "soft_pairs": [ + "issue:2091|issue:7197", + "issue:3191|issue:4398", + "issue:1919|issue:817", + "issue:5226|issue:9109", + "issue:10421|issue:11352", + "issue:2904|issue:3250", + "issue:6790|issue:8493", + "issue:10447|issue:10757", + "issue:4790|issue:4837", + "issue:4733|issue:7310", + "issue:6176|issue:9876", + "issue:6524|issue:6561", + "issue:11225|issue:11241", + "issue:11374|issue:13067", + "issue:11561|issue:8790", + "issue:1185|issue:1944", + "issue:5412|issue:6894", + "issue:5892|issue:6794", + "issue:8511|issue:9358", + "issue:4368|issue:8950", + "issue:12011|issue:13079", + "issue:6561|issue:7238", + "issue:378|issue:4849", + "issue:2806|issue:771" + ], + "prepared_review_unit_hash": "60b0d3acaa66a0757184196bbccd83d812ef7bcb2f7d55edb23af0e49f81b07d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33187, + "estimated_input_tokens": 8297, + "estimated_eval_tokens": 16850 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: mostly training/LoRA/OOM bugs, converter-script issues, and a few unrelated feature requests. There are no PRs in the set. The most representative issue is the SD3/LoRA text-encoder unloading bug, but the items do not form a tight duplicate cluster.", + "confidence": 0.42, + "canonical_issue_reason": "issue:8511 is the clearest concrete code-path bug in the set: SD3 Dreambooth/LoRA scripts failing to unload text encoders, which matches the recurring VRAM/memory theme better than the more generic or unrelated reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8511 is the best overall representative because it is specific, actionable, and central to the memory-management complaints in this cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2091", + "right": "issue:7197", + "accept": false, + "reason": "Both involve training resume failures, but they are different scripts and distinct errors: multi-GPU checkpoint resume vs a KeyError on shortest-edge preprocessing." + }, + { + "left": "issue:3191", + "right": "issue:4398", + "accept": false, + "reason": "Both mention Dreambooth/LoRA, but one is a broken training combination and the other is black-image output in an SDXL LoRA-dreambooth pipeline; different bugs." + }, + { + "left": "issue:1919", + "right": "issue:817", + "accept": false, + "reason": "Missing datasets in requirements.txt is unrelated to the mixed-precision/BF16 training issue." + }, + { + "left": "issue:5226", + "right": "issue:9109", + "accept": false, + "reason": "StableDiffusionXLAdapterPipeline LoRA-loading behavior and a missing torchvision::nms operator are unrelated failures." + }, + { + "left": "issue:10421", + "right": "issue:11352", + "accept": false, + "reason": "One is a CPU memory leak when moving pipelines across multiple GPUs; the other is a missing warning for moving an 8bit model to CPU." + }, + { + "left": "issue:2904", + "right": "issue:3250", + "accept": false, + "reason": "AudioLDM NoneType scheduler error and StableDiffusionKDiffusionPipeline startup failure are different pipeline bugs." + }, + { + "left": "issue:6790", + "right": "issue:8493", + "accept": false, + "reason": "Both are state_dict-loading errors, but they affect different models and different incompatibility paths." + }, + { + "left": "issue:10447", + "right": "issue:10757", + "accept": false, + "reason": "Converter file-splitting breaking workflows is not the same as a variable-name rename request." + }, + { + "left": "issue:4790", + "right": "issue:4837", + "accept": false, + "reason": "Both involve Stable Diffusion conversion scripts, but one is round-trip incompatibility while the other is an SDXL model conversion failure." + }, + { + "left": "issue:4733", + "right": "issue:7310", + "accept": false, + "reason": "Checkpoint resume/optimizer-state failure is different from defaults not working in the SDXL LoRA training script." + }, + { + "left": "issue:6176", + "right": "issue:9876", + "accept": false, + "reason": "Loading a LoRA after Dreambooth training and general VRAM not being released after LoRA training are related themes, but not the same concrete bug." + }, + { + "left": "issue:6524", + "right": "issue:6561", + "accept": false, + "reason": "A second LoRA load failing is unrelated to an IP-Adapter missing config.json error." + }, + { + "left": "issue:11225", + "right": "issue:11241", + "accept": false, + "reason": "One is validation-step OOM in SD3 ControlNet training; the other is a floating point exception in Flux ControlNet training." + }, + { + "left": "issue:11374", + "right": "issue:13067", + "accept": false, + "reason": "These are separate feature requests for different model families (SkyReels-V2 vs Anima)." + }, + { + "left": "issue:11561", + "right": "issue:8790", + "accept": false, + "reason": "Both mention IP-Adapter, but one is FluxFill support and the other is SDXL TensorRT integration; different requests and code paths." + }, + { + "left": "issue:1185", + "right": "issue:1944", + "accept": false, + "reason": "Dreambooth reproducibility complaints are not the same as a specific prompt producing random results." + }, + { + "left": "issue:5412", + "right": "issue:6894", + "accept": false, + "reason": "Resume-from-checkpoint failure in one training script is not the same as LoRA output not working in A1111." + }, + { + "left": "issue:5892", + "right": "issue:6794", + "accept": false, + "reason": "Generic import error and a specific cast_training_params import failure are not the same bug." + }, + { + "left": "issue:8511", + "right": "issue:9358", + "accept": false, + "reason": "Both involve text-encoder handling in LoRA training, but they describe different concrete problems and different scripts; not enough evidence they are the same bug." + }, + { + "left": "issue:4368", + "right": "issue:8950", + "accept": false, + "reason": "Both are training bugs, but one is SDXL LoRA OOM and the other is an SD3 LoRA training issue." + }, + { + "left": "issue:12011", + "right": "issue:13079", + "accept": false, + "reason": "Both report OOMs, but they are different models and different execution contexts, so they are not the same underlying bug." + }, + { + "left": "issue:6561", + "right": "issue:7238", + "accept": false, + "reason": "Missing IP-Adapter config.json is unrelated to IP-Adapter masking behavior." + }, + { + "left": "issue:378", + "right": "issue:4849", + "accept": false, + "reason": "Textual inversion distribution math and multi-GPU training usage are different issues." + }, + { + "left": "issue:2806", + "right": "issue:771", + "accept": false, + "reason": "Custom pipeline printing behavior is unrelated to BF16 not working in Dreambooth." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 94, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10470", + "issue:10674", + "issue:10989", + "issue:11436", + "issue:1181", + "issue:12147", + "issue:12321", + "issue:12412", + "issue:12459", + "issue:12565", + "issue:1742", + "issue:2392", + "issue:2439", + "issue:2560", + "issue:3363", + "issue:3631", + "issue:3706", + "issue:3984", + "issue:4241", + "issue:4480", + "issue:4551", + "issue:4665", + "issue:4724", + "issue:4733", + "issue:4975", + "issue:4985", + "issue:5028", + "issue:5474", + "issue:5510", + "issue:5529", + "issue:5575", + "issue:5606", + "issue:5633", + "issue:5719", + "issue:5798", + "issue:6136", + "issue:6230", + "issue:6506", + "issue:6520", + "issue:6879", + "issue:7239", + "issue:8472", + "issue:8939", + "issue:9025", + "issue:9032", + "issue:9443", + "issue:9613" + ], + "soft_pairs": [ + "issue:4975|issue:5606", + "issue:10470|issue:10674", + "issue:5575|issue:8472", + "issue:10989|issue:12147", + "issue:1181|issue:4241", + "issue:3706|issue:5474", + "issue:6879|issue:7239", + "issue:9025|issue:9032", + "issue:4665|issue:5719", + "issue:4985|issue:6520", + "issue:3363|issue:4733", + "issue:4551|issue:8939", + "issue:12321|issue:12412", + "issue:2439|issue:3631", + "issue:5529|issue:5633", + "issue:5529|issue:6230", + "issue:1742|issue:2560", + "issue:3984|issue:4724", + "issue:12459|issue:12565", + "issue:4480|issue:6136", + "issue:9443|issue:9613", + "issue:2392|issue:6506", + "issue:11436|issue:5510", + "issue:5028|issue:5798" + ], + "prepared_review_unit_hash": "e8d9411b2961ab0c1f6c374d9eb5ce52dbc27ca9d1bc9d0aaf7ae3d585a52031", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 34096, + "estimated_input_tokens": 8524, + "estimated_eval_tokens": 17304 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is largely heterogeneous: most items are unrelated bug reports or feature/support requests across different models, pipelines, and failure modes. Only the LoRA weight file-selection pair (4665/5719) looks like the same underlying loading bug.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4975", + "right": "issue:5606", + "accept": false, + "reason": "Repeated dtype-query inefficiency and missing LoRA alpha are different LoRA-loading problems." + }, + { + "left": "issue:10470", + "right": "issue:10674", + "accept": false, + "reason": "Both are Flux inference failures, but one is torchao-related and the other is GGUF/pipeline loading; not the same bug." + }, + { + "left": "issue:5575", + "right": "issue:8472", + "accept": false, + "reason": "Hidden-size configuration in LoRA training is unrelated to simultaneous pre-training with other modules." + }, + { + "left": "issue:10989", + "right": "issue:12147", + "accept": false, + "reason": "Different model families and different LoRA-loading failure modes; not one concrete bug." + }, + { + "left": "issue:1181", + "right": "issue:4241", + "accept": false, + "reason": "Training-from-scratch is a separate request from supporting LoRA fine-tuning." + }, + { + "left": "issue:3706", + "right": "issue:5474", + "accept": false, + "reason": "These are distinct new-pipeline proposals for different models and use cases." + }, + { + "left": "issue:6879", + "right": "issue:7239", + "accept": false, + "reason": "Both are training errors, but one is a dtype mismatch and the other is a tensor-shape mismatch in a different workflow." + }, + { + "left": "issue:9025", + "right": "issue:9032", + "accept": false, + "reason": "Both mention Flax/TPU, but one is from_single_file loading and the other is a minimal working example request." + }, + { + "left": "issue:4665", + "right": "issue:5719", + "accept": true, + "reason": "Both point to the same LoRA weight-file resolution bug; 5719 reads like the fix for preferring pytorch_lora_weights files before the multiple-file branch." + }, + { + "left": "issue:4985", + "right": "issue:6520", + "accept": false, + "reason": "An OOM during SDXL training is not the same as blank validation output in adapter training." + }, + { + "left": "issue:3363", + "right": "issue:4733", + "accept": false, + "reason": "Same script family, but one is a cross-machine failure and the other is a checkpoint-resume bug." + }, + { + "left": "issue:4551", + "right": "issue:8939", + "accept": false, + "reason": "Different models and different failure types; SDXL Dreambooth crash is unrelated to SD3 tokenizer loading." + }, + { + "left": "issue:12321", + "right": "issue:12412", + "accept": false, + "reason": "These are adjacent feature requests for different HunyuanImage versions, not the same change." + }, + { + "left": "issue:2439", + "right": "issue:3631", + "accept": false, + "reason": "Generic inpainting load/run problems are not the same as the specific latent-input exception." + }, + { + "left": "issue:5529", + "right": "issue:5633", + "accept": false, + "reason": "Different files and different code paths: a training script bug versus a temporal transformer bug." + }, + { + "left": "issue:5529", + "right": "issue:6230", + "accept": false, + "reason": "One is a generic training-script bug; the other is an OOM report for the same script, which is a different failure mode." + }, + { + "left": "issue:1742", + "right": "issue:2560", + "accept": false, + "reason": "Inference-speed variability and nondeterministic outputs with generator lists are unrelated bugs." + }, + { + "left": "issue:3984", + "right": "issue:4724", + "accept": false, + "reason": "Class-label requirements and SDXL img2img checkpoint behavior are unrelated." + }, + { + "left": "issue:12459", + "right": "issue:12565", + "accept": false, + "reason": "Different model families and different runtime issues; not mergeable as one bug." + }, + { + "left": "issue:4480", + "right": "issue:6136", + "accept": false, + "reason": "Both are Mac-related, but one is an MPS float16 kernel crash and the other is SD2.1 NaNs on CPU." + }, + { + "left": "issue:9443", + "right": "issue:9613", + "accept": false, + "reason": "Tokenizer instantiation failure and a Timesteps.scale attribute error are separate bugs." + }, + { + "left": "issue:2392", + "right": "issue:6506", + "accept": false, + "reason": "Img2img prompt_embeds validation and StableVideoDiffusion output type are unrelated." + }, + { + "left": "issue:11436", + "right": "issue:5510", + "accept": false, + "reason": "Both are dtype mismatches, but in different pipelines with different tensor combinations and code paths." + }, + { + "left": "issue:5028", + "right": "issue:5798", + "accept": false, + "reason": "Both are wrapper signature errors, but the unexpected keywords are different and arise in different pipelines." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted soft edge, 4665/5719, is plausibly the same LoRA weight-file resolution bug; the rest of the rejections are appropriately cautious given the differing titles and failure modes." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 95, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:1005", + "issue:10954", + "issue:11033", + "issue:11448", + "issue:11648", + "issue:1604", + "issue:1969", + "issue:2068", + "issue:2210", + "issue:222", + "issue:2548", + "issue:3177", + "issue:3296", + "issue:3418", + "issue:3564", + "issue:3569", + "issue:3661", + "issue:3984", + "issue:4183", + "issue:4213", + "issue:4250", + "issue:4303", + "issue:4399", + "issue:4418", + "issue:4488", + "issue:4724", + "issue:4835", + "issue:5432", + "issue:6130", + "issue:6243", + "issue:6666", + "issue:6967", + "issue:7138", + "issue:7146", + "issue:7223", + "issue:7311", + "issue:7421", + "issue:7682", + "issue:8503", + "issue:861", + "issue:8649", + "issue:8790", + "issue:9051", + "issue:9092", + "issue:9200", + "issue:9527", + "issue:9873" + ], + "soft_pairs": [ + "issue:11033|issue:7682", + "issue:3661|issue:4213", + "issue:10010|issue:11448", + "issue:10954|issue:11648", + "issue:8503|issue:8649", + "issue:7146|issue:7311", + "issue:1604|issue:3984", + "issue:4183|issue:4835", + "issue:3564|issue:3569", + "issue:7223|issue:9873", + "issue:3177|issue:3296", + "issue:4303|issue:4488", + "issue:9051|issue:9092", + "issue:1005|issue:861", + "issue:2210|issue:3418", + "issue:6243|issue:8790", + "issue:2548|issue:6130", + "issue:5432|issue:6666", + "issue:2068|issue:4250", + "issue:4399|issue:4418", + "issue:9200|issue:9527", + "issue:1969|issue:222", + "issue:6967|issue:7138", + "issue:4724|issue:7421" + ], + "prepared_review_unit_hash": "afa3a980cf98de42384896c5e402246604fcac5a9ef929bea5cde909f620138c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33715, + "estimated_input_tokens": 8429, + "estimated_eval_tokens": 17114 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly noisy and spans many unrelated Diffusers issues. I only accepted a few pairs that clearly point to the same underlying feature request or regression: Uni-ControlNet support, text-encoder LoRA training, blank validation images, and SDXL ControlNet dtype mismatches.", + "confidence": 0.79, + "canonical_issue_reason": "issue:3564 is the broadest and most central representative of the Uni-ControlNet feature request; it subsumes the more specific new-pipeline request.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3564 is the best overall anchor among the accepted duplicates because it is the umbrella feature request rather than the narrower follow-up issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11033", + "right": "issue:7682", + "accept": false, + "reason": "Different problems: single-file SD1.5 UNet loading vs multi-GPU runtime behavior." + }, + { + "left": "issue:3661", + "right": "issue:4213", + "accept": false, + "reason": "Both are loading issues, but for different models/code paths (SD 2.x from_ckpt vs SDXL from_single_file)." + }, + { + "left": "issue:10010", + "right": "issue:11448", + "accept": false, + "reason": "Different missing-resource problems for different models; not the same underlying bug." + }, + { + "left": "issue:10954", + "right": "issue:11648", + "accept": false, + "reason": "One is a specific LoRA loading failure, the other is a general how-to question about LoRA weights with fp8 transformer models." + }, + { + "left": "issue:8503", + "right": "issue:8649", + "accept": false, + "reason": "Different SD3 issues: gradient checkpointing crash vs num_images_per_prompt behavior/error." + }, + { + "left": "issue:7146", + "right": "issue:7311", + "accept": false, + "reason": "OOM during SDXL fine-tuning is unrelated to checkpoint saving failure." + }, + { + "left": "issue:1604", + "right": "issue:3984", + "accept": false, + "reason": "Different failure modes and code paths; not the same bug." + }, + { + "left": "issue:4183", + "right": "issue:4835", + "accept": false, + "reason": "Different ControlNet bugs: guidance_scale edge case vs MultiControlNetModel in img2img." + }, + { + "left": "issue:3564", + "right": "issue:3569", + "accept": true, + "reason": "Same Uni-ControlNet feature request; one is the umbrella support request and the other is the specific new-pipeline request." + }, + { + "left": "issue:7223", + "right": "issue:9873", + "accept": false, + "reason": "Different pipeline/model additions (Latte video generation vs OmniGen image generation)." + }, + { + "left": "issue:3177", + "right": "issue:3296", + "accept": false, + "reason": "Both involve DreamBooth, but one is DeepSpeed offloading and the other is checkpoint save/load with text encoder." + }, + { + "left": "issue:4303", + "right": "issue:4488", + "accept": false, + "reason": "Different loading problems: Flax SDXL crash vs original-ckpt SDXL conversion without pipeline_class." + }, + { + "left": "issue:9051", + "right": "issue:9092", + "accept": false, + "reason": "Related to Flux, but one is batch inference support and the other is missing model_index.json on load." + }, + { + "left": "issue:1005", + "right": "issue:861", + "accept": false, + "reason": "Different conversion/loading contexts and different underlying errors." + }, + { + "left": "issue:2210", + "right": "issue:3418", + "accept": true, + "reason": "Same underlying change: enabling LoRA training for the text encoder / adding text-encoder handling to the LoRA training script." + }, + { + "left": "issue:6243", + "right": "issue:8790", + "accept": false, + "reason": "Both mention IP-Adapter, but these are not the same concrete bug or change." + }, + { + "left": "issue:2548", + "right": "issue:6130", + "accept": false, + "reason": "Saving LoRA checkpoints and loading LoRA weights are different failure modes." + }, + { + "left": "issue:5432", + "right": "issue:6666", + "accept": true, + "reason": "Same symptom class: validation images coming out blank/black during LoRA training validation." + }, + { + "left": "issue:2068", + "right": "issue:4250", + "accept": false, + "reason": "Generic from_pretrained loading concerns, but not the same concrete bug." + }, + { + "left": "issue:4399", + "right": "issue:4418", + "accept": false, + "reason": "Different pipeline/runtime issues: torch compile plus CPU offload vs SDXL inpaint denoising_start behavior." + }, + { + "left": "issue:9200", + "right": "issue:9527", + "accept": true, + "reason": "Same SDXL ControlNet dtype-mismatch regression, just described from two angles." + }, + { + "left": "issue:1969", + "right": "issue:222", + "accept": false, + "reason": "The runtime errors are too generic and the underlying contexts differ." + }, + { + "left": "issue:6967", + "right": "issue:7138", + "accept": false, + "reason": "Both mention SDXL shape/structure mismatch, but one is a training prior-preservation error and the other is a model-structure complaint." + }, + { + "left": "issue:4724", + "right": "issue:7421", + "accept": false, + "reason": "Different SDXL behaviors: img2img checkpoint compatibility vs seed handling in KDiffusion." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and the accepted pairs are conservative and well supported by the issue titles: Uni-ControlNet support (3564/3569), text-encoder LoRA training (2210/3418), blank/black validation images (5432/6666), and SDXL ControlNet dtype mismatch (9200/9527). The rejected pairs are also framed cautiously as different models, code paths, or symptom classes rather than overclaiming duplicates." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 96, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10139", + "issue:10150", + "issue:10223", + "issue:10453", + "issue:10514", + "issue:11135", + "issue:11223", + "issue:1161", + "issue:11657", + "issue:12009", + "issue:12011", + "issue:12037", + "issue:12108", + "issue:12147", + "issue:12738", + "issue:1524", + "issue:1604", + "issue:2163", + "issue:3235", + "issue:3264", + "issue:3591", + "issue:3661", + "issue:3698", + "issue:3706", + "issue:3728", + "issue:3826", + "issue:3885", + "issue:3933", + "issue:4125", + "issue:4305", + "issue:4724", + "issue:4954", + "issue:5128", + "issue:5226", + "issue:5544", + "issue:5617", + "issue:5753", + "issue:579", + "issue:6183", + "issue:6368", + "issue:6686", + "issue:672", + "issue:6866", + "issue:6935", + "issue:8609", + "issue:8649", + "issue:8817", + "issue:9576" + ], + "soft_pairs": [ + "issue:10150|issue:10223", + "issue:3933|issue:4305", + "issue:11223|issue:12011", + "issue:4724|issue:6368", + "issue:5617|issue:6686", + "issue:4954|issue:579", + "issue:3235|issue:3661", + "issue:8609|issue:8817", + "issue:12009|issue:12147", + "issue:2163|issue:3885", + "issue:10453|issue:12738", + "issue:5544|issue:8649", + "issue:10139|issue:10514", + "issue:11657|issue:12037", + "issue:5128|issue:6183", + "issue:3264|issue:672", + "issue:3706|issue:3826", + "issue:3591|issue:4125", + "issue:12108|issue:9576", + "issue:11135|issue:3728", + "issue:1161|issue:3698", + "issue:1524|issue:1604", + "issue:5226|issue:5753", + "issue:6866|issue:6935" + ], + "prepared_review_unit_hash": "d6769d20e0a2a0980fdb5dfb4e19af236bc20cc8c93dd83bba37205c0c9b5543", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33966, + "estimated_input_tokens": 8492, + "estimated_eval_tokens": 17240 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly distinct issues grouped by theme. The strongest duplicate-like match is the torch.compile graph-break regression (#3933/#4305); the SDXL from_single_file items are related but not close enough to merge confidently.", + "confidence": 0.81, + "canonical_issue_reason": "Issue #3933 is the most concrete bug report and has the clearest same-bug signal with #4305, which describes the same torch.compile graph-break regression in a different phrasing.", + "canonical_pr_reason": null, + "best_issue_reason": "#3933 is the best representative because it names a specific, fixable code-path regression rather than a broad symptom or request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10150", + "right": "issue:10223", + "accept": false, + "reason": "SDXL slowness/inference performance vs. a question about obtaining a LoRA identifier; different problems." + }, + { + "left": "issue:3933", + "right": "issue:4305", + "accept": true, + "reason": "Both point to the same torch.compile graph-break issue, with #4305 appearing to be the same regression under a release-specific framing." + }, + { + "left": "issue:11223", + "right": "issue:12011", + "accept": false, + "reason": "Both mention OOM, but the affected Wan paths and failure contexts differ enough to treat as separate issues." + }, + { + "left": "issue:4724", + "right": "issue:6368", + "accept": false, + "reason": "Both are SDXL loading-related, but one is expected-behavior/usage confusion and the other is a specific single-file shape error." + }, + { + "left": "issue:5617", + "right": "issue:6686", + "accept": false, + "reason": "Compiled pipeline save/load problems, but one is load failure after save_pretrained and the other is a performance regression after save/load." + }, + { + "left": "issue:4954", + "right": "issue:579", + "accept": false, + "reason": "Different Textual Inversion failures: pickle deserialization vs. missing config.json." + }, + { + "left": "issue:3235", + "right": "issue:3661", + "accept": false, + "reason": "Different conversion/loading paths with different model types and failure modes." + }, + { + "left": "issue:8609", + "right": "issue:8817", + "accept": false, + "reason": "Both involve IP-Adapter, but one is custom pipeline integration and the other is a faceid usage issue." + }, + { + "left": "issue:12009", + "right": "issue:12147", + "accept": false, + "reason": "Different Wan bugs: GGUF single-file loading/meta-tensor failure vs. Lightning LoRA loading failure." + }, + { + "left": "issue:2163", + "right": "issue:3885", + "accept": false, + "reason": "Unrelated training dtype mismatch vs. a VRAM-reduction question." + }, + { + "left": "issue:10453", + "right": "issue:12738", + "accept": false, + "reason": "Both are batch-size>1 failures, but they affect different pipelines and appear to be separate assertions/limitations." + }, + { + "left": "issue:5544", + "right": "issue:8649", + "accept": false, + "reason": "Different regressions: FreeU disable error vs. num_images_per_prompt not being honored in SD3." + }, + { + "left": "issue:10139", + "right": "issue:10514", + "accept": false, + "reason": "Both mention sample_size, but one is about pipeline init and the other is a Sana resolution-binning limitation." + }, + { + "left": "issue:11657", + "right": "issue:12037", + "accept": false, + "reason": "Both are Wan LoRA-related, but one is a no-effect key-prefix bug and the other is distilled-LoRA compatibility." + }, + { + "left": "issue:5128", + "right": "issue:6183", + "accept": false, + "reason": "Both are SDXL from_single_file issues, but the symptoms differ too much to safely merge without stronger evidence." + }, + { + "left": "issue:3264", + "right": "issue:672", + "accept": false, + "reason": "Opposite conversion directions and different requests." + }, + { + "left": "issue:3706", + "right": "issue:3826", + "accept": false, + "reason": "Completely different new pipeline proposals." + }, + { + "left": "issue:3591", + "right": "issue:4125", + "accept": false, + "reason": "Both mention loss curves, but the training setups and underlying problems are not the same." + }, + { + "left": "issue:12108", + "right": "issue:9576", + "accept": false, + "reason": "Scheduler flow-matching breakage vs. use_safetensors not propagating to submodules." + }, + { + "left": "issue:11135", + "right": "issue:3728", + "accept": false, + "reason": "Different new pipeline proposals with no shared bug or implementation target." + }, + { + "left": "issue:1161", + "right": "issue:3698", + "accept": false, + "reason": "Different conversion tasks: Flax-to-PyTorch vs. inpainting model to diffusers." + }, + { + "left": "issue:1524", + "right": "issue:1604", + "accept": false, + "reason": "Training quality issue vs. a broken example script under a specific version." + }, + { + "left": "issue:5226", + "right": "issue:5753", + "accept": false, + "reason": "Both are load_lora_weights problems, but they affect different SDXL pipelines and likely different code paths." + }, + { + "left": "issue:6866", + "right": "issue:6935", + "accept": false, + "reason": "Different IP-Adapter requests: ControlNet Inpaint support vs. faceid usage." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is partly grounded, but the soft-edge handling is not consistently conservative. In particular, the analyst accepts issue:5128 vs issue:6183 even though the summary says the SDXL from_single_file items are still too different to merge confidently, which is internally inconsistent. The accepted duplicate calls are stronger than the packet supports, since we only have titles/body metadata and no explicit linkage. I\u2019d reject unless those accepted pairs are downgraded or better justified." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 97, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10040", + "issue:10311", + "issue:10475", + "issue:11006", + "issue:11779", + "issue:12108", + "issue:12175", + "issue:1572", + "issue:1616", + "issue:1704", + "issue:1823", + "issue:1866", + "issue:2161", + "issue:2185", + "issue:2774", + "issue:3539", + "issue:3761", + "issue:3788", + "issue:3910", + "issue:4061", + "issue:4186", + "issue:4808", + "issue:5005", + "issue:5128", + "issue:5337", + "issue:6141", + "issue:6354", + "issue:6548", + "issue:6570", + "issue:6823", + "issue:7021", + "issue:7350", + "issue:7982", + "issue:8296", + "issue:8414", + "issue:8588", + "issue:8708", + "issue:8787", + "issue:8826", + "issue:8939", + "issue:9044", + "issue:9112", + "issue:9187", + "issue:9362", + "issue:9619", + "issue:9667", + "issue:9971" + ], + "soft_pairs": [ + "issue:8588|issue:8708", + "issue:8939|issue:9044", + "issue:5005|issue:8296", + "issue:2774|issue:5128", + "issue:1616|issue:3761", + "issue:6570|issue:8826", + "issue:6141|issue:6354", + "issue:6141|issue:9619", + "issue:1572|issue:1866", + "issue:4186|issue:7982", + "issue:6823|issue:7350", + "issue:10040|issue:10475", + "issue:12108|issue:12175", + "issue:10311|issue:7021", + "issue:1704|issue:3539", + "issue:1823|issue:5337", + "issue:11006|issue:11779", + "issue:2161|issue:2185", + "issue:3788|issue:8414", + "issue:3910|issue:4061", + "issue:9112|issue:9362", + "issue:9187|issue:9971", + "issue:4808|issue:6548", + "issue:8787|issue:9667" + ], + "prepared_review_unit_hash": "c4f957751484ecd544cbbd17ef90fddc3c880422dbe255a9ddf3ca990df05e48", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33593, + "estimated_input_tokens": 8399, + "estimated_eval_tokens": 17054 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pair looks like the same underlying bug/change; most are only loosely related by subsystem or wording. The cluster is heterogeneous, so there is no strong canonical duplicate set.", + "confidence": 0.88, + "canonical_issue_reason": "issue:10475 is the closest cluster anchor because it is a concrete SD3 image-quality complaint, but the overall set spans unrelated bugs, feature requests, and pipelines, so it is not a true canonical for the whole cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10475 is the best available issue anchor by specificity and discussion depth, but it only fits the image-quality subset and does not represent the unrelated import/controlnet/training/runtime issues.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8588", + "right": "issue:8708", + "accept": false, + "reason": "Both are SD3/training-related, but one is a missing script/file issue and the other is a missing config field; different underlying fixes." + }, + { + "left": "issue:8939", + "right": "issue:9044", + "accept": false, + "reason": "Different loading failures: tokenizer resolution vs missing diffusion weight file. Same broad theme, not the same bug." + }, + { + "left": "issue:5005", + "right": "issue:8296", + "accept": false, + "reason": "Both concern resume behavior, but one is a progress-bar display issue and the other is global-step bookkeeping/confusion." + }, + { + "left": "issue:2774", + "right": "issue:5128", + "accept": false, + "reason": "Different code paths: ControlNet safetensors conversion vs loading a local single-file XL pipeline checkpoint." + }, + { + "left": "issue:1616", + "right": "issue:3761", + "accept": false, + "reason": "One is an LPW community pipeline compatibility issue; the other is about loading multiple community pipelines in one process." + }, + { + "left": "issue:6570", + "right": "issue:8826", + "accept": false, + "reason": "Unrelated runtime errors: tensor size mismatch in an InstructPix2Pix pipeline vs empty tensor list in torch.cat." + }, + { + "left": "issue:6141", + "right": "issue:6354", + "accept": false, + "reason": "Both are ControlNet feature requests, but control_mode/resize_mode support and LoRA support are distinct changes." + }, + { + "left": "issue:6141", + "right": "issue:9619", + "accept": false, + "reason": "Different ControlNet enhancements: parameter support versus interrupt support; not the same code-path bug." + }, + { + "left": "issue:1572", + "right": "issue:1866", + "accept": false, + "reason": "Both involve Stable Diffusion img2img, but one is a broken mega pipeline for img2img/inpainting and the other is a scheduler-strength interaction bug." + }, + { + "left": "issue:4186", + "right": "issue:7982", + "accept": false, + "reason": "Different pipeline problems: SDXL inpaint/refiner behavior vs from_pipe handling for MultiControlNetModel." + }, + { + "left": "issue:6823", + "right": "issue:7350", + "accept": false, + "reason": "Both mention ControlNet, but one is a general inability to use it and the other is a specific ControlNet-from-UNet-with-LoRA initialization failure." + }, + { + "left": "issue:10040", + "right": "issue:10475", + "accept": false, + "reason": "Both are SD3 image-quality complaints, but one reports grey outputs while the other reports lower-than-validation quality during fine-tuning; not the same bug." + }, + { + "left": "issue:12108", + "right": "issue:12175", + "accept": false, + "reason": "One is a scheduler/flow-matching compatibility break in Qwen Image/Chroma; the other is a general bad-image-quality report." + }, + { + "left": "issue:10311", + "right": "issue:7021", + "accept": false, + "reason": "Both are import errors, but they involve different modules and causes (dreambooth script vs HF_HOME handling)." + }, + { + "left": "issue:1704", + "right": "issue:3539", + "accept": false, + "reason": "These are questions about different APIs, not the same defect or change." + }, + { + "left": "issue:1823", + "right": "issue:5337", + "accept": false, + "reason": "A swapped-comment bug in depth2img is unrelated to a general question about the callback function." + }, + { + "left": "issue:11006", + "right": "issue:11779", + "accept": false, + "reason": "Both are Wan-related, but one is broken I2V video output with a quantized transformer and the other is incorrect mask padding in VACE; different fixes." + }, + { + "left": "issue:2161", + "right": "issue:2185", + "accept": false, + "reason": "Different training setup problems: LoRA on inpainting vs missing config files for naive text-to-image training." + }, + { + "left": "issue:3788", + "right": "issue:8414", + "accept": false, + "reason": "Both are new model/pipeline proposals, but they are entirely different features and not duplicates." + }, + { + "left": "issue:3910", + "right": "issue:4061", + "accept": false, + "reason": "Both concern LoRA loading, but one is a broad 'certain LoRA will not load' report and the other is an SDXL-specific load error." + }, + { + "left": "issue:9112", + "right": "issue:9362", + "accept": false, + "reason": "Different inference failures: a tensor dimension mismatch vs an index-out-of-bounds error." + }, + { + "left": "issue:9187", + "right": "issue:9971", + "accept": false, + "reason": "Completely different subsystems: IP-Adapter/SDXL with Kolors changes versus FLUX scheduler behavior." + }, + { + "left": "issue:4808", + "right": "issue:6548", + "accept": false, + "reason": "Both are img2img-related, but one is a SHAP-E integration test failure and the other is an RGBA latent-handling bug." + }, + { + "left": "issue:8787", + "right": "issue:9667", + "accept": false, + "reason": "Slow model loading is not the same as a FLUX fp8 local file loading error." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 98, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10150", + "issue:10512", + "issue:10722", + "issue:10760", + "issue:10782", + "issue:10863", + "issue:1109", + "issue:11136", + "issue:11182", + "issue:11221", + "issue:11374", + "issue:12126", + "issue:12505", + "issue:13053", + "issue:1475", + "issue:2250", + "issue:2437", + "issue:2856", + "issue:2984", + "issue:3250", + "issue:3454", + "issue:3672", + "issue:3891", + "issue:4185", + "issue:4250", + "issue:4307", + "issue:4324", + "issue:4446", + "issue:4727", + "issue:4888", + "issue:5442", + "issue:5455", + "issue:579", + "issue:5821", + "issue:6371", + "issue:6666", + "issue:6689", + "issue:7185", + "issue:7420", + "issue:7516", + "issue:7708", + "issue:834", + "issue:8894", + "issue:8939", + "issue:9108", + "issue:9343", + "issue:9415", + "issue:9667" + ], + "soft_pairs": [ + "issue:3454|issue:4324", + "issue:1475|issue:579", + "issue:10782|issue:7185", + "issue:2437|issue:3891", + "issue:2250|issue:3672", + "issue:11136|issue:12126", + "issue:5455|issue:6371", + "issue:10722|issue:11221", + "issue:8894|issue:9415", + "issue:4446|issue:7420", + "issue:11374|issue:13053", + "issue:7708|issue:8939", + "issue:3250|issue:5821", + "issue:4250|issue:4888", + "issue:10863|issue:9667", + "issue:11182|issue:9343", + "issue:10512|issue:9108", + "issue:4185|issue:6666", + "issue:2856|issue:6689", + "issue:4307|issue:4727", + "issue:10760|issue:7516", + "issue:1109|issue:834", + "issue:10150|issue:12505", + "issue:2984|issue:5442" + ], + "prepared_review_unit_hash": "342bab4da482538a21459ad4fa01a081eb3ab12a7928d6ef78bdbc8da71e1cf5", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33867, + "estimated_input_tokens": 8467, + "estimated_eval_tokens": 17190 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pair looks like a true duplicate or same-change match. The suggestions are mostly title-level similarity across different pipelines, training bugs, loading issues, and feature requests, but the underlying problems are distinct.", + "confidence": 0.93, + "canonical_issue_reason": "issue:10150 is the broadest, most umbrella-style report in the set (SDXL loading/inference performance), so it is the closest thing to a generic anchor if a canonical issue must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10150 is the best overall issue candidate because it is the most general and most likely to represent a reusable triage anchor; the rest are narrower, unrelated bugs or feature requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3454", + "right": "issue:4324", + "accept": false, + "reason": "Both are training/runtime failures, but one is a DreamBooth script regression and the other is a UNet forward TypeError; different failure modes and code paths." + }, + { + "left": "issue:1475", + "right": "issue:579", + "accept": false, + "reason": "Both involve training workflows, but one is about mixed class images in DreamBooth/textual inversion and the other is a missing config.json for textual inversion; not the same bug." + }, + { + "left": "issue:10782", + "right": "issue:7185", + "accept": false, + "reason": "Lumina Image minor issue vs PyTorch 2.2 support question; unrelated topics with no shared concrete failure." + }, + { + "left": "issue:2437", + "right": "issue:3891", + "accept": false, + "reason": "A request to add T2I-Adapter pipeline and a request to add Tortoise TTS are different feature additions, not one underlying change." + }, + { + "left": "issue:2250", + "right": "issue:3672", + "accept": false, + "reason": "Both concern inference, but one is DreamBooth prompt generation failing and the other is a concurrency/threading failure in StableDiffusionPipeline; distinct bugs." + }, + { + "left": "issue:11136", + "right": "issue:12126", + "accept": false, + "reason": "SanaSprint intermediate timestep support and wan2.2 cache_context error are different pipeline-specific runtime issues." + }, + { + "left": "issue:5455", + "right": "issue:6371", + "accept": false, + "reason": "Dreambooth+lora notebook subprocess failure vs controlnet_xs assert error; same general area, but not the same underlying bug." + }, + { + "left": "issue:10722", + "right": "issue:11221", + "accept": false, + "reason": "DreamBooth prior-preservation tensor mismatch and autoencoderkl non-convergence are different training problems with different symptoms and fixes." + }, + { + "left": "issue:8894", + "right": "issue:9415", + "accept": false, + "reason": "train_cm_ct_unconditional.py regression and CogVideoXTransformer3DModel parameter handling are unrelated training/model-API issues." + }, + { + "left": "issue:4446", + "right": "issue:7420", + "accept": false, + "reason": "Custom text encoder support in from_single_file and torch.compile usability are different loading/compile topics, not the same defect." + }, + { + "left": "issue:11374", + "right": "issue:13053", + "accept": false, + "reason": "SkyReels-V2 support request and Unipic 3.0 support request are separate feature requests for different models." + }, + { + "left": "issue:7708", + "right": "issue:8939", + "accept": false, + "reason": "Missing tokenizer/config for SDXL base and unable to load tokenizer for SD3 medium are different model-loading failures." + }, + { + "left": "issue:3250", + "right": "issue:5821", + "accept": false, + "reason": "StableDiffusionKDiffusionPipeline runtime issue and CUDA backward/training error are not the same code path or bug." + }, + { + "left": "issue:4250", + "right": "issue:4888", + "accept": false, + "reason": "Incorrect from_pretrained loading and offline safetensors loading are both loading-related, but the reports describe different behavior and likely different fixes." + }, + { + "left": "issue:10863", + "right": "issue:9667", + "accept": false, + "reason": "Loading local safetensors files vs loading a flux fp8 model with a local transformer file are different model-loading problems." + }, + { + "left": "issue:11182", + "right": "issue:9343", + "accept": false, + "reason": "Unnecessary BF16 variant download and FLUX low_cpu_mem_usage/ignore_mismatched_sizes loading error are distinct loading bugs." + }, + { + "left": "issue:10512", + "right": "issue:9108", + "accept": false, + "reason": "Quanto Flux LoRA load failure and resume-training with quantized base model are different quantization-related issues with different workflows." + }, + { + "left": "issue:4185", + "right": "issue:6666", + "accept": false, + "reason": "ControlNet SDXL black images and black validation images are superficially similar, but one is inference output corruption and the other is validation-time image generation; not enough evidence of the same bug." + }, + { + "left": "issue:2856", + "right": "issue:6689", + "accept": false, + "reason": "Converting an SD model to diffusers and converting SSD-1B.safetensors to Diffusers are both conversion topics, but they are not the same concrete failure." + }, + { + "left": "issue:4307", + "right": "issue:4727", + "accept": false, + "reason": "local_files_only loading error and auto pipelines breaking under local_files_only are related, but one is a specific from_pretrained error and the other is broader auto-pipeline behavior; not the same exact issue." + }, + { + "left": "issue:10760", + "right": "issue:7516", + "accept": false, + "reason": "Missing OnnxStableDiffusionInpaintPipelineLegacy attribute and missing DepthNormalEstimationPipeline attribute are separate API/export regressions." + }, + { + "left": "issue:1109", + "right": "issue:834", + "accept": false, + "reason": "Both are CPU utilization complaints, but they are generic community questions with no evidence of the same environment, cause, or fix." + }, + { + "left": "issue:10150", + "right": "issue:12505", + "accept": false, + "reason": "SDXL slow loading/inference performance and tgate error on img2img pipelines are unrelated: one is performance, the other is a specific runtime error." + }, + { + "left": "issue:2984", + "right": "issue:5442", + "accept": false, + "reason": "Both are video-generation related, but one is a paper/feature entry for latent video diffusion and the other is a ScaleCrafter pipeline request; different artifacts and intents." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 99, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10636", + "issue:1083", + "issue:10937", + "issue:11046", + "issue:11418", + "issue:11584", + "issue:11661", + "issue:12078", + "issue:12459", + "issue:12728", + "issue:1909", + "issue:2068", + "issue:2083", + "issue:2091", + "issue:2163", + "issue:2321", + "issue:2560", + "issue:3184", + "issue:3235", + "issue:3348", + "issue:3451", + "issue:3564", + "issue:3944", + "issue:4321", + "issue:4974", + "issue:5160", + "issue:5168", + "issue:5466", + "issue:5504", + "issue:5693", + "issue:5917", + "issue:5969", + "issue:6136", + "issue:6176", + "issue:6518", + "issue:6832", + "issue:7049", + "issue:7286", + "issue:7418", + "issue:7770", + "issue:8518", + "issue:8534", + "issue:8557", + "issue:861", + "issue:9223", + "issue:9546", + "issue:9927" + ], + "soft_pairs": [ + "issue:3348|issue:5504", + "issue:10636|issue:7418", + "issue:5693|issue:6176", + "issue:6832|issue:7049", + "issue:1083|issue:4321", + "issue:5466|issue:7770", + "issue:12728|issue:8518", + "issue:2091|issue:3451", + "issue:9546|issue:9927", + "issue:10937|issue:11584", + "issue:11661|issue:12078", + "issue:11046|issue:12459", + "issue:10010|issue:11418", + "issue:3944|issue:5160", + "issue:5969|issue:6136", + "issue:2163|issue:6518", + "issue:4974|issue:861", + "issue:2068|issue:2321", + "issue:1909|issue:2560", + "issue:3564|issue:5168", + "issue:5917|issue:9223", + "issue:8534|issue:8557", + "issue:2083|issue:3184", + "issue:3235|issue:7286" + ], + "prepared_review_unit_hash": "1437da1d939e50163aa202fa28356a79b908c7b3af5f5609035622665ece841f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34194, + "estimated_input_tokens": 8549, + "estimated_eval_tokens": 17354 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set: it mixes many different bugs across Flux examples, LoRA, torch.compile, ONNX, and training scripts. None of the soft pairs look like the same underlying issue, so all should be rejected.", + "confidence": 0.91, + "canonical_issue_reason": "No clear cluster-wide canonical: the items span distinct bugs across Flux, LoRA, torch.compile, ONNX, and training examples.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9546 is the strongest single issue: it has a clear, concrete Flux Control training validation OOM failure and is more actionable than the other items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3348", + "right": "issue:5504", + "accept": false, + "reason": "Both touch LoRA/xformers, but one is about scale-parameter support and the other about PEFT LoRA failing; different bugs." + }, + { + "left": "issue:10636", + "right": "issue:7418", + "accept": false, + "reason": "Unrelated topics: a bug in value_guided_sampling.py versus a community pipeline bug in pipeline_stable_diffusion_upscale_ldm3d.py." + }, + { + "left": "issue:5693", + "right": "issue:6176", + "accept": false, + "reason": "Both involve VAE/LoRA loading errors, but they describe different code paths and failure modes." + }, + { + "left": "issue:6832", + "right": "issue:7049", + "accept": false, + "reason": "Both are IP-Adapter related, but one is Face ID tuple/shape handling and the other is an unpacking error in the basic example; not the same bug." + }, + { + "left": "issue:1083", + "right": "issue:4321", + "accept": false, + "reason": "Both mention incorrect outputs with FP16/ONNX, but one is a generic FP16 ONNX accuracy issue and the other is black images on DirectML." + }, + { + "left": "issue:5466", + "right": "issue:7770", + "accept": false, + "reason": "Both are loading/shaping problems around LoRA, but one is SDXL img2img LoRA shape mismatch and the other is generic model+LoRA tensor mismatch." + }, + { + "left": "issue:12728", + "right": "issue:8518", + "accept": false, + "reason": "Both are torch.compile/Dynamo issues, but they affect different models (Wan 2.2 vs SD3) and different runtime failures." + }, + { + "left": "issue:2091", + "right": "issue:3451", + "accept": false, + "reason": "Training resume/checkpoint behavior is unrelated to fp16 memory usage in train_text_to_image.py." + }, + { + "left": "issue:9546", + "right": "issue:9927", + "accept": false, + "reason": "Both are training-time failures, but one is Flux Controlnet validation OOM and the other is HeaderTooLarge in SDv3 ControlNet training." + }, + { + "left": "issue:10937", + "right": "issue:11584", + "accept": false, + "reason": "Different failure modes: torch.compile on vae.encode versus compile incompatibility with group offloading on hunyuanvideo_frampack." + }, + { + "left": "issue:11661", + "right": "issue:12078", + "accept": false, + "reason": "Both are Flux-control example issues, but one is a None handling bug in max_train_steps and the other is invalid provided validation input." + }, + { + "left": "issue:11046", + "right": "issue:12459", + "accept": false, + "reason": "Both mention Flux pipelines, but one is a controlnet/inpainting/ip-adapter inference feature/problem and the other is a batch throughput issue in FLUX.1-Kontext-dev." + }, + { + "left": "issue:10010", + "right": "issue:11418", + "accept": false, + "reason": "One is a missing model_index.json / example-not-working issue, the other is about adding an fp8 safetensors file; not the same underlying bug." + }, + { + "left": "issue:3944", + "right": "issue:5160", + "accept": false, + "reason": "LoRA Dreambooth rank customization and Dreambooth/LoRA masking are different training feature requests." + }, + { + "left": "issue:5969", + "right": "issue:6136", + "accept": false, + "reason": "Both involve NaNs, but one is DDIM eta=1 with ZSNR patch and the other is StableDiffusionPipeline on Mac CPU for SD2.1." + }, + { + "left": "issue:2163", + "right": "issue:6518", + "accept": false, + "reason": "Both are training-script errors from None values, but they occur in different scripts and different variables." + }, + { + "left": "issue:4974", + "right": "issue:861", + "accept": false, + "reason": "Both are conversion-related, but one is safetensor-to-diffusers conversion and the other is ckpt-to-diffusers conversion." + }, + { + "left": "issue:2068", + "right": "issue:2321", + "accept": false, + "reason": "Different model handling issues: dtype conversion in from_pretrained versus incorrect EMA weight assignment during inference." + }, + { + "left": "issue:1909", + "right": "issue:2560", + "accept": false, + "reason": "Both involve generators, but one is a generator-list API mismatch and the other is a specific output-determinism bug in Img2Img." + }, + { + "left": "issue:3564", + "right": "issue:5168", + "accept": false, + "reason": "Uni-ControlNet support and ControlNet-XS support are separate feature requests, not the same change." + }, + { + "left": "issue:5917", + "right": "issue:9223", + "accept": false, + "reason": "Checkpoint conversion failure after upgrading diffusers is unrelated to dependency version conflicts between pyarrow, cudf, ibis, and datasets." + }, + { + "left": "issue:8534", + "right": "issue:8557", + "accept": false, + "reason": "Both are SD3 training issues, but one is logit-normal weighting and the other is token limit behavior; different bugs." + }, + { + "left": "issue:2083", + "right": "issue:3184", + "accept": false, + "reason": "Both mention generator-list problems, but one is DDIMScheduler eta>0 support and the other is a community pipeline generator-list incompatibility." + }, + { + "left": "issue:3235", + "right": "issue:7286", + "accept": false, + "reason": "Both concern loading/custom weights, but custom diffusion biases failing to load is different from cross-attention weight loading with AttendAndExcite." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 100, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10055", + "issue:10057", + "issue:10191", + "issue:10412", + "issue:10782", + "issue:1083", + "issue:10932", + "issue:1099", + "issue:11024", + "issue:11247", + "issue:11584", + "issue:12459", + "issue:12666", + "issue:12738", + "issue:1363", + "issue:1475", + "issue:1524", + "issue:1539", + "issue:1543", + "issue:2081", + "issue:2321", + "issue:2371", + "issue:2991", + "issue:3101", + "issue:3279", + "issue:3363", + "issue:3405", + "issue:3799", + "issue:4402", + "issue:4724", + "issue:4790", + "issue:5224", + "issue:5529", + "issue:5621", + "issue:5737", + "issue:5972", + "issue:6258", + "issue:6283", + "issue:6791", + "issue:7003", + "issue:7168", + "issue:7400", + "issue:7770", + "issue:817", + "issue:9637", + "issue:9717", + "issue:9856", + "issue:9911" + ], + "soft_pairs": [ + "issue:4790|issue:5737", + "issue:10057|issue:11024", + "issue:12459|issue:12738", + "issue:2371|issue:817", + "issue:1524|issue:1543", + "issue:1539|issue:3799", + "issue:2321|issue:5621", + "issue:2081|issue:5224", + "issue:4402|issue:7168", + "issue:10191|issue:9856", + "issue:2991|issue:3101", + "issue:6258|issue:7400", + "issue:5529|issue:6791", + "issue:9717|issue:9911", + "issue:10782|issue:12666", + "issue:1083|issue:1363", + "issue:11247|issue:9637", + "issue:4724|issue:6283", + "issue:1099|issue:1475", + "issue:7003|issue:7770", + "issue:3279|issue:3363", + "issue:3405|issue:5972", + "issue:10055|issue:10412", + "issue:10932|issue:11584" + ], + "prepared_review_unit_hash": "184a5887eb1eb8082326d8ebfb3c645dc15d33eece6a4a40fa1f8dcdf2dd12f0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34155, + "estimated_input_tokens": 8539, + "estimated_eval_tokens": 17334 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is only loosely related by training/controlnet/Flux-style bug reports. The soft pairs mostly share vocabulary, but they describe different code paths, models, or symptom classes, so none look like true duplicates. No PRs are present.", + "confidence": 0.78, + "canonical_issue_reason": "issue:10055 is the cleanest anchor for the cluster: it is a concrete, high-signal ControlNet training failure with a broad title and substantial discussion, making it the most representative issue among these adjacent training bugs.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10055 is the best overall issue candidate because it is specific enough to identify the underlying problem class, yet broad enough to represent the cluster\u2019s main theme of broken ControlNet training workflows.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4790", + "right": "issue:5737", + "accept": false, + "reason": "Different converter directions and failure modes: one is original->diffusers compatibility, the other is SDXL conversion failing in the opposite script." + }, + { + "left": "issue:10057", + "right": "issue:11024", + "accept": false, + "reason": "Different components: a token handling problem in FluxTransformer2DModel.from_single_file versus SiglipImageProcessor lacking .to() in SD3IPAdapterMixin." + }, + { + "left": "issue:12459", + "right": "issue:12738", + "accept": false, + "reason": "Throughput/performance complaint versus a batch-size assertion failure; different pipelines and different bug classes." + }, + { + "left": "issue:2371", + "right": "issue:817", + "accept": false, + "reason": "Dreambooth output content bug versus mixed-precision training failure; not the same concrete bug." + }, + { + "left": "issue:1524", + "right": "issue:1543", + "accept": false, + "reason": "Poor training quality in textual inversion versus inability to pass revision=fp16; different root causes and symptom types." + }, + { + "left": "issue:1539", + "right": "issue:3799", + "accept": false, + "reason": "Both mention types, but one is a conversion-script typing bug and the other is an incorrect inferred type for a scheduler loader." + }, + { + "left": "issue:2321", + "right": "issue:5621", + "accept": false, + "reason": "Unrelated issues: EMA-weight assignment in inference versus ControlNet encoder_hid_proj support for SDXL." + }, + { + "left": "issue:2081", + "right": "issue:5224", + "accept": false, + "reason": "Both involve conversion/model ecosystems, but one is a PyTorch->JAX conversion inconsistency and the other is a Flax SD2.1 runtime error." + }, + { + "left": "issue:4402", + "right": "issue:7168", + "accept": false, + "reason": "Different APIs and failures: from_single_file misuse versus invalid 4D IP-Adapter embeddings." + }, + { + "left": "issue:10191", + "right": "issue:9856", + "accept": false, + "reason": "Different distributed-training issues: wrong GPU selection versus a launch port collision." + }, + { + "left": "issue:2991", + "right": "issue:3101", + "accept": false, + "reason": "Both are ControlNet training complaints, but one is mixed-precision-specific while the other is a generic training error without evidence of the same code path." + }, + { + "left": "issue:6258", + "right": "issue:7400", + "accept": false, + "reason": "Stable video diffusion symptoms differ: chunking degrades quality versus black outputs; not enough evidence they are the same bug." + }, + { + "left": "issue:5529", + "right": "issue:6791", + "accept": false, + "reason": "Same script family, but one is a specific bug in train_text_to_image_sdxl.py and the other is simply that the script cannot run; insufficient proof of a shared root cause." + }, + { + "left": "issue:9717", + "right": "issue:9911", + "accept": false, + "reason": "Different Flux issues: docker image/runtime error versus multi-ControlNet layer-length handling." + }, + { + "left": "issue:10782", + "right": "issue:12666", + "accept": false, + "reason": "Different model families and problem contexts: Lumina Image 2.0 minor issue versus Kandinsky 5.0 pipeline availability in a specific release." + }, + { + "left": "issue:1083", + "right": "issue:1363", + "accept": false, + "reason": "ONNX FP16 output correctness and an LMS scheduler long-prompt error are unrelated." + }, + { + "left": "issue:11247", + "right": "issue:9637", + "accept": false, + "reason": "Multiple-GPU ControlNet distribution problem versus xFormers attention-mask/bfloat16 sequence-length failure; distinct code paths." + }, + { + "left": "issue:4724", + "right": "issue:6283", + "accept": false, + "reason": "Different SDXL img2img problems with different triggers: base checkpoint behavior versus strength=0 in ControlNet img2img." + }, + { + "left": "issue:1099", + "right": "issue:1475", + "accept": false, + "reason": "No class name in DreamBooth versus training with two image classes; unrelated problems." + }, + { + "left": "issue:7003", + "right": "issue:7770", + "accept": false, + "reason": "Both involve tensor shape mismatches, but in different subsystems: inpaint weight shapes versus model/LoRA loading shape mismatch." + }, + { + "left": "issue:3279", + "right": "issue:3363", + "accept": false, + "reason": "Checkpoint resume errors and cross-machine failure are too vague to treat as the same bug." + }, + { + "left": "issue:3405", + "right": "issue:5972", + "accept": false, + "reason": "ControlNet training bug versus documentation about Min-SNR weighting; docs and runtime behavior are different." + }, + { + "left": "issue:10055", + "right": "issue:10412", + "accept": false, + "reason": "Both are SD3-related training reports, but one is a broken ControlNet training script and the other is extreme VRAM usage in DreamBooth." + }, + { + "left": "issue:10932", + "right": "issue:11584", + "accept": false, + "reason": "Both mention torch.compile and HunyuanVideo, but the failure mechanisms differ: recompile-limit exhaustion versus incompatibility with group offloading." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 101, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10178", + "issue:10382", + "issue:10782", + "issue:1100", + "issue:11222", + "issue:11674", + "issue:12195", + "issue:1543", + "issue:1695", + "issue:1734", + "issue:2053", + "issue:2784", + "issue:2988", + "issue:3480", + "issue:4073", + "issue:4086", + "issue:4217", + "issue:4303", + "issue:4389", + "issue:4427", + "issue:4686", + "issue:4697", + "issue:4876", + "issue:4993", + "issue:5128", + "issue:5577", + "issue:5687", + "issue:5894", + "issue:5932", + "issue:6096", + "issue:6283", + "issue:660", + "issue:6879", + "issue:6880", + "issue:7159", + "issue:7243", + "issue:7660", + "issue:7982", + "issue:8604", + "issue:8832", + "issue:9012", + "issue:9045", + "issue:9106", + "issue:9112", + "issue:9496", + "issue:9525", + "issue:9803", + "issue:9895" + ], + "soft_pairs": [ + "issue:11222|issue:11674", + "issue:4217|issue:5128", + "issue:4686|issue:4697", + "issue:9045|issue:9895", + "issue:2988|issue:4303", + "issue:3480|issue:4876", + "issue:6879|issue:6880", + "issue:4427|issue:7660", + "issue:1100|issue:4073", + "issue:1543|issue:660", + "issue:1695|issue:1734", + "issue:9525|issue:9803", + "issue:9012|issue:9496", + "issue:4086|issue:7982", + "issue:2053|issue:4993", + "issue:5687|issue:6283", + "issue:6096|issue:7159", + "issue:10382|issue:8604", + "issue:8832|issue:9106", + "issue:10178|issue:9112", + "issue:10782|issue:12195", + "issue:5894|issue:5932", + "issue:4389|issue:5577", + "issue:2784|issue:7243" + ], + "prepared_review_unit_hash": "b589a98260f60d46c2f68f4cb802f136002248d7e1f169a51e0598252acf8783", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33922, + "estimated_input_tokens": 8481, + "estimated_eval_tokens": 17218 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose collection of unrelated issue reports and feature requests across many different pipelines/models. There is no credible duplicate core, so all soft-edge pairs should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out: the items span unrelated bugs/features (UNet shape mismatch, Flux LoRA/device issues, ControlNet/SD3 errors, training requests, etc.), so they do not form one duplicate set.", + "canonical_pr_reason": "There are no pull requests in the cluster.", + "best_issue_reason": "No global best issue for deduplication: none of the issues is clearly representative of the others, and the set is too heterogeneous to collapse into one canonical bug.", + "best_pr_reason": "No pull requests are present, so there is no PR candidate to rank.", + "soft_edge_verdicts": [ + { + "left": "issue:11222", + "right": "issue:11674", + "accept": false, + "reason": "Different feature requests in the WAN family: more LoRAs vs ref image/multiple control videos. Not the same change." + }, + { + "left": "issue:4217", + "right": "issue:5128", + "accept": false, + "reason": "Both mention loading, but one is slow safetensors loading and the other is a local single-file load error. Different problems." + }, + { + "left": "issue:4686", + "right": "issue:4697", + "accept": false, + "reason": "Both are load failures, but one is about an UpscalePipeline from_pretrained and the other a specific LoRA after an update. Not the same bug." + }, + { + "left": "issue:9045", + "right": "issue:9895", + "accept": false, + "reason": "Both involve Flux/device behavior, but one is accelerate+peft CUDA transfer and the other is a commit-specific cpu/cuda inference mismatch. Different code paths." + }, + { + "left": "issue:2988", + "right": "issue:4303", + "accept": false, + "reason": "Scheduler step-count crash is unrelated to Flax SDXL loading crash." + }, + { + "left": "issue:3480", + "right": "issue:4876", + "accept": false, + "reason": "Both concern LoRA layers, but one requests a scale parameter and the other a std argument. Different API changes." + }, + { + "left": "issue:6879", + "right": "issue:6880", + "accept": false, + "reason": "Same Custom Diffusion area, but one is a dtype mismatch during training and the other is a retrieve.py issue. Not the same bug." + }, + { + "left": "issue:4427", + "right": "issue:7660", + "accept": false, + "reason": "Both are examples not working, but they are different examples in different contexts. Too vague to merge." + }, + { + "left": "issue:1100", + "right": "issue:4073", + "accept": false, + "reason": "Both are attribute/type errors, but one is CLIPTextTransformer.device and the other is Tensor.astype in DeepFloyd IF safety checker. Different root causes." + }, + { + "left": "issue:1543", + "right": "issue:660", + "accept": false, + "reason": "Both involve revision=\"fp16\", but one is inability to set revision fp16 and the other is MPS float16 runtime behavior. Not the same issue." + }, + { + "left": "issue:1695", + "right": "issue:1734", + "accept": false, + "reason": "Both mention multi-GPU dreambooth training, but one is a support request and the other is a slowdown complaint. Not a duplicate bug." + }, + { + "left": "issue:9525", + "right": "issue:9803", + "accept": false, + "reason": "Both are Flux LoRA related, but one is lora_scale being ignored and the other is a broader loading failure. Not clearly the same fix." + }, + { + "left": "issue:9012", + "right": "issue:9496", + "accept": false, + "reason": "Both are ControlNet/SD3 related, but one is a from_transformer weight-loading error and the other is a forward-function error. Different failure points." + }, + { + "left": "issue:4086", + "right": "issue:7982", + "accept": false, + "reason": "ControlNet training on SDXL and from_pipe with MultiControlNetModel are different issues in different workflows." + }, + { + "left": "issue:2053", + "right": "issue:4993", + "accept": false, + "reason": "VRAM regression and missing _import_structure export are unrelated." + }, + { + "left": "issue:5687", + "right": "issue:6283", + "accept": false, + "reason": "Both involve timestep/strength edge cases, but one is Karras sigma duplicate timesteps in Img2Img and the other is SDXL ControlNet Img2Img strength=0 behavior. Not the same concrete bug." + }, + { + "left": "issue:6096", + "right": "issue:7159", + "accept": false, + "reason": "Both mention torch.compile, but SVD DynamicOutputShapeException and LoRA-fused compile failure are different code paths." + }, + { + "left": "issue:10382", + "right": "issue:8604", + "accept": false, + "reason": "Both touch autoencoder/text-encoder dtype or return types, but one is VAE forward return type mismatch and the other is T5 float16 corruption. Different models and failures." + }, + { + "left": "issue:8832", + "right": "issue:9106", + "accept": false, + "reason": "Generic crash on pipe(prompt).images[0] is not the same as PixArt-alpha time_step=1 attribute error." + }, + { + "left": "issue:10178", + "right": "issue:9112", + "accept": false, + "reason": "UNet 3D block dimension mismatch is unrelated to Auraflow tensor-size mismatch." + }, + { + "left": "issue:10782", + "right": "issue:12195", + "accept": false, + "reason": "Both are model/runtime bugs, but Lumina Image 2.0 minor issue and a Torch 2.3.1 custom_op regression are different problems." + }, + { + "left": "issue:5894", + "right": "issue:5932", + "accept": false, + "reason": "Buffer size error and channel mismatch error are distinct runtime failures." + }, + { + "left": "issue:4389", + "right": "issue:5577", + "accept": false, + "reason": "ControlNet loading error and ControlNet from_single_file KeyError are related only broadly; they are different load paths and errors." + }, + { + "left": "issue:2784", + "right": "issue:7243", + "accept": false, + "reason": "Dreambooth support request for text2video and ResAdapter feature request are unrelated feature asks." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 102, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10150", + "issue:10334", + "issue:10674", + "issue:1076", + "issue:10914", + "issue:11827", + "issue:12082", + "issue:12459", + "issue:12529", + "issue:2364", + "issue:2554", + "issue:3064", + "issue:3174", + "issue:3191", + "issue:3450", + "issue:3694", + "issue:3803", + "issue:3805", + "issue:4043", + "issue:4186", + "issue:4305", + "issue:4476", + "issue:4542", + "issue:4724", + "issue:4788", + "issue:4852", + "issue:4975", + "issue:5259", + "issue:5314", + "issue:5474", + "issue:5575", + "issue:5606", + "issue:5630", + "issue:5997", + "issue:6130", + "issue:6201", + "issue:6333", + "issue:6372", + "issue:7142", + "issue:7263", + "issue:7420", + "issue:7722", + "issue:7785", + "issue:7982", + "issue:8472", + "issue:9484", + "issue:9763" + ], + "soft_pairs": [ + "issue:4043|issue:6201", + "issue:3803|issue:5575", + "issue:10334|issue:10914", + "issue:10674|issue:7982", + "issue:2364|issue:3805", + "issue:4305|issue:7420", + "issue:4186|issue:4788", + "issue:9484|issue:9763", + "issue:11827|issue:12459", + "issue:12082|issue:12529", + "issue:3694|issue:5259", + "issue:2554|issue:3450", + "issue:7263|issue:7722", + "issue:6333|issue:8472", + "issue:10150|issue:7785", + "issue:3174|issue:3191", + "issue:5314|issue:6372", + "issue:5630|issue:7142", + "issue:4476|issue:5997", + "issue:4852|issue:4975", + "issue:3174|issue:5606", + "issue:1076|issue:5474", + "issue:3064|issue:6130", + "issue:4542|issue:4724" + ], + "prepared_review_unit_hash": "75ada622a0890ea0f83f612a825e50ad596c293491a17992c32f661041c62174", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33194, + "estimated_input_tokens": 8299, + "estimated_eval_tokens": 16854 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous. The only clear near-duplicate is the LoRA + DreamBooth loading pair; the rest are broad same-subsystem similarities but not the same concrete bug/change.", + "confidence": 0.59, + "canonical_issue_reason": "issue:3174 is the most specific representative of the only clear duplicate pair, and it names the likely root cause: LoRA feature changes breaking DreamBooth+LoRA loading.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3174 is the best cluster representative because it most directly captures the shared bug in the one accepted duplicate group.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4043", + "right": "issue:6201", + "accept": false, + "reason": "Both involve prompt embedding handling, but they appear to hit different pipelines and different failure modes." + }, + { + "left": "issue:3803", + "right": "issue:5575", + "accept": false, + "reason": "Multi-GPU LoRA training is unrelated to a LoRA hidden-size configuration question." + }, + { + "left": "issue:10334", + "right": "issue:10914", + "accept": false, + "reason": "Both are device/memory related, but one is MPS/NaN rendering and the other is unintended CPU offload." + }, + { + "left": "issue:10674", + "right": "issue:7982", + "accept": false, + "reason": "GGUF loading failure and from_pipe/MultiControlNetModel are different code paths and bugs." + }, + { + "left": "issue:2364", + "right": "issue:3805", + "accept": false, + "reason": "Generic training-script failure and Colab CalledProcessError are too vague and likely different causes." + }, + { + "left": "issue:4305", + "right": "issue:7420", + "accept": false, + "reason": "Both mention torch.compile, but one is a specific graph-break regression and the other is a broader compile failure." + }, + { + "left": "issue:4186", + "right": "issue:4788", + "accept": false, + "reason": "Inpaint+refiner behavior and VRAM OOM are different symptoms." + }, + { + "left": "issue:9484", + "right": "issue:9763", + "accept": false, + "reason": "Multi-GPU DreamBooth training and token truncation in Flux ControlNet training are unrelated." + }, + { + "left": "issue:11827", + "right": "issue:12459", + "accept": false, + "reason": "A safetensors deserialization error is not the same as a batch inference throughput issue." + }, + { + "left": "issue:12082", + "right": "issue:12529", + "accept": false, + "reason": "Higher compile-time VAE memory usage and a tensor-size mismatch are different failures." + }, + { + "left": "issue:3694", + "right": "issue:5259", + "accept": false, + "reason": "Both mention missing model_index.json, but the contexts differ enough that they do not clearly describe the same underlying bug." + }, + { + "left": "issue:2554", + "right": "issue:3450", + "accept": false, + "reason": "An accelerate version requirement issue is distinct from a from_ckpt dev-version loading problem." + }, + { + "left": "issue:7263", + "right": "issue:7722", + "accept": false, + "reason": "IP Adapter plus attention slicing is different from the Animatediff ControlNet + IPAdapter error." + }, + { + "left": "issue:6333", + "right": "issue:8472", + "accept": false, + "reason": "These are both LoRA-related questions, not the same concrete bug or change." + }, + { + "left": "issue:10150", + "right": "issue:7785", + "accept": false, + "reason": "Both are performance complaints, but one is SDXL loading/inference in general and the other is slow first inference on diffusers 0.27.x." + }, + { + "left": "issue:3174", + "right": "issue:3191", + "accept": true, + "reason": "These describe the same underlying LoRA+DreamBooth loading breakage after LoRA feature changes." + }, + { + "left": "issue:5314", + "right": "issue:6372", + "accept": false, + "reason": "A ControlNet SDXL tutorial error and an SVD+ControlNet pipeline request/error are different topics." + }, + { + "left": "issue:5630", + "right": "issue:7142", + "accept": false, + "reason": "Left is an LMS scheduler artifact in SDXL Img2Img; right is an SDXL-lightning output mismatch." + }, + { + "left": "issue:4476", + "right": "issue:5997", + "accept": false, + "reason": "ControlNet fill50k results and a tutorial type-mismatch error are different issues." + }, + { + "left": "issue:4852", + "right": "issue:4975", + "accept": false, + "reason": "A LoRA loading error is not the same as a LoRA-loading performance inefficiency." + }, + { + "left": "issue:3174", + "right": "issue:5606", + "accept": false, + "reason": "Both involve LoRA loading, but no-alpha handling is a different concrete bug from DreamBooth+LoRA loading breakage." + }, + { + "left": "issue:1076", + "right": "issue:5474", + "accept": false, + "reason": "These are entirely different Stable Diffusion model/pipeline topics." + }, + { + "left": "issue:3064", + "right": "issue:6130", + "accept": false, + "reason": "Both are generic LoRA load failures, but the available titles do not show the same specific root cause." + }, + { + "left": "issue:4542", + "right": "issue:4724", + "accept": false, + "reason": "Same pipeline family, but one is a multi-image limitation and the other is a checkpoint-specific behavior problem." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analyst summary is grounded in the packet and stays conservative on the soft edges. The only accepted duplicate pair is well supported by the titles, and the rejected pairs are not overstated. No mergeability issues apply here." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 103, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10180", + "issue:10511", + "issue:10512", + "issue:10526", + "issue:10533", + "issue:11241", + "issue:11922", + "issue:12011", + "issue:12012", + "issue:1214", + "issue:13008", + "issue:1310", + "issue:13351", + "issue:1392", + "issue:1704", + "issue:1962", + "issue:2988", + "issue:3019", + "issue:3788", + "issue:3824", + "issue:3901", + "issue:4306", + "issue:4888", + "issue:5465", + "issue:5840", + "issue:6069", + "issue:6196", + "issue:6278", + "issue:6407", + "issue:7142", + "issue:7782", + "issue:7785", + "issue:817", + "issue:8233", + "issue:8511", + "issue:8649", + "issue:8874", + "issue:8939", + "issue:9012", + "issue:938", + "issue:9393", + "issue:962", + "issue:9664", + "issue:9729", + "issue:9825", + "issue:9876", + "issue:9927" + ], + "soft_pairs": [ + "issue:11241|issue:9927", + "issue:1310|issue:1962", + "issue:1392|issue:1962", + "issue:10533|issue:11922", + "issue:1214|issue:817", + "issue:1704|issue:3824", + "issue:3019|issue:938", + "issue:4306|issue:8649", + "issue:4888|issue:7782", + "issue:8874|issue:9012", + "issue:10511|issue:9825", + "issue:2988|issue:6069", + "issue:9393|issue:9729", + "issue:10180|issue:9876", + "issue:10512|issue:10526", + "issue:13008|issue:13351", + "issue:3901|issue:6278", + "issue:6196|issue:8233", + "issue:12011|issue:12012", + "issue:8511|issue:8939", + "issue:7142|issue:7785", + "issue:5840|issue:9664", + "issue:3788|issue:6407", + "issue:5465|issue:962" + ], + "prepared_review_unit_hash": "9e1b5dc758dbb9b574b40c3ddbb46cea68c41feb5ab429a5eb325d1ef055ac43", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33550, + "estimated_input_tokens": 8388, + "estimated_eval_tokens": 17032 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: most items are Flux/SD3/Wan/LoRA-related issues, but the soft pairs are only broad topical similarities, not the same concrete bug. None of the soft edges look mergeable as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": "issue:10512 is the clearest representative of the cluster\u2019s main Flux/LoRA theme: it states a concrete loading failure, is specific, and has the strongest discussion signal among the closest matches.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10512 is the best standalone issue to anchor the cluster because it is the most specific and reproducible Flux LoRA loading bug among the candidates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11241", + "right": "issue:9927", + "accept": false, + "reason": "Both are training errors, but one is a floating-point exception in Flux ControlNet training and the other is a HeaderTooLarge error in SDv3 ControlNet training; different failure modes and likely different code paths." + }, + { + "left": "issue:1310", + "right": "issue:1962", + "accept": false, + "reason": "K-Diffusion + Stable Diffusion pipeline is a pipeline integration request, while video generation with stable diffusion is a separate application idea; not the same change." + }, + { + "left": "issue:1392", + "right": "issue:1962", + "accept": false, + "reason": "Stable Diffusion 2 is a model support issue, while video generation with stable diffusion is a feature request for a different use case." + }, + { + "left": "issue:10533", + "right": "issue:11922", + "accept": false, + "reason": "Both mention FLUX fill, but one reports black images in fp16 and the other a general running problem; symptoms and likely fixes differ." + }, + { + "left": "issue:1214", + "right": "issue:817", + "accept": false, + "reason": "Both involve precision, but one is CLIPTextModel half precision and the other is dreambooth mixed precision; too broad and not the same bug." + }, + { + "left": "issue:1704", + "right": "issue:3824", + "accept": false, + "reason": "These are both questions about pipeline internals, but one is about attention blocks and the other about inpaint pipeline classes; unrelated." + }, + { + "left": "issue:3019", + "right": "issue:938", + "accept": false, + "reason": "Text-guided image editing with SAM and Human Motion Diffusion are unrelated feature requests in different domains." + }, + { + "left": "issue:4306", + "right": "issue:8649", + "accept": false, + "reason": "Both are runtime errors, but one is StableDiffusionReferencePipeline list indexing and the other is an SD3 num_images_per_prompt regression; different pipelines and causes." + }, + { + "left": "issue:4888", + "right": "issue:7782", + "accept": false, + "reason": "Offline safetensors loading and safetensors conversion unpickling errors are different file-handling problems." + }, + { + "left": "issue:8874", + "right": "issue:9012", + "accept": false, + "reason": "Both are model-loading failures, but CKPT-from-single-file unpickling and SD3ControlNetModel weight loading are distinct issues." + }, + { + "left": "issue:10511", + "right": "issue:9825", + "accept": false, + "reason": "Scheduler redesign and FLUX IPAdapter support are separate roadmap items; same broad subsystem, but not the same change." + }, + { + "left": "issue:2988", + "right": "issue:6069", + "accept": false, + "reason": "Both are scheduler edge cases, but one is num_training_steps == num_inference_steps and the other is add_noise at t=0; different concrete bugs." + }, + { + "left": "issue:9393", + "right": "issue:9729", + "accept": false, + "reason": "Both are Flux LoRA training save issues, but one is a deepspeed save failure and the other is an unexpected T5EncoderModel save type; too different to merge." + }, + { + "left": "issue:10180", + "right": "issue:9876", + "accept": false, + "reason": "Multiple LoRAs with Flux Control LoRA and VRAM not being released after LoRA training are different lifecycle problems." + }, + { + "left": "issue:10512", + "right": "issue:10526", + "accept": false, + "reason": "Both involve Flux/Quanto, but 10512 is a LoRA load failure while 10526 is a specific FP8 tensor-construction TypeError; not the same bug." + }, + { + "left": "issue:13008", + "right": "issue:13351", + "accept": false, + "reason": "These are different model-family feature requests: FLUX.2-Klein multi-image LoRA training versus Wan 2.2 / Flux.2 Dev ControlNet support." + }, + { + "left": "issue:3901", + "right": "issue:6278", + "accept": false, + "reason": "Missing requirements.txt is a repository/file issue, while multi-GPU training failure is a runtime/training configuration problem." + }, + { + "left": "issue:6196", + "right": "issue:8233", + "accept": false, + "reason": "Both are depth-pipeline issues, but one is ControlNetXS Depth SDXL loading and the other is fp16 execution; different concrete failures." + }, + { + "left": "issue:8511", + "right": "issue:8939", + "accept": false, + "reason": "Unloading text encoders during SD3 Dreambooth/LoRA training and tokenizer loading for SD3 are unrelated." + }, + { + "left": "issue:7142", + "right": "issue:7785", + "accept": false, + "reason": "SDXL-lightning inference mismatch and slow first inference are both performance/quality topics, but not the same bug." + }, + { + "left": "issue:5840", + "right": "issue:9664", + "accept": false, + "reason": "Checkpoint resume freezing in train_dreambooth_lora_sdxl.py and a generic subprocess.CalledProcessError are not the same failure." + }, + { + "left": "issue:3788", + "right": "issue:6407", + "accept": false, + "reason": "UniControl and AnyText are distinct new pipeline requests with different model targets." + }, + { + "left": "issue:5465", + "right": "issue:962", + "accept": false, + "reason": "Both are inpaint-related limitations, but one is DiffEdit inpaint_strength behavior and the other is fixed 512x512 sizing in new inpaint pipelines." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 104, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:1005", + "issue:10512", + "issue:10969", + "issue:11148", + "issue:11824", + "issue:11853", + "issue:12689", + "issue:1643", + "issue:1672", + "issue:1734", + "issue:1774", + "issue:1962", + "issue:2844", + "issue:3250", + "issue:3379", + "issue:350", + "issue:4000", + "issue:4061", + "issue:4086", + "issue:4303", + "issue:4354", + "issue:4410", + "issue:4736", + "issue:5150", + "issue:5436", + "issue:5465", + "issue:5575", + "issue:5693", + "issue:6238", + "issue:6250", + "issue:6323", + "issue:6460", + "issue:6513", + "issue:6540", + "issue:6661", + "issue:7310", + "issue:746", + "issue:7629", + "issue:7770", + "issue:8482", + "issue:8588", + "issue:8726", + "issue:9106", + "issue:9187", + "issue:9270", + "issue:9799" + ], + "soft_pairs": [ + "issue:10026|issue:1734", + "issue:10969|issue:9799", + "issue:1672|issue:4000", + "issue:6238|issue:6250", + "issue:4736|issue:7310", + "issue:3250|issue:6323", + "issue:8588|issue:8726", + "issue:4086|issue:5465", + "issue:2844|issue:4303", + "issue:1774|issue:350", + "issue:3379|issue:746", + "issue:11148|issue:12689", + "issue:5436|issue:6540", + "issue:11853|issue:9187", + "issue:5575|issue:6661", + "issue:4354|issue:5150", + "issue:4061|issue:5693", + "issue:1643|issue:7629", + "issue:1962|issue:6460", + "issue:6513|issue:8482", + "issue:4410|issue:7770", + "issue:10512|issue:9270", + "issue:11824|issue:9106", + "issue:1005|issue:3250" + ], + "prepared_review_unit_hash": "abe576d6b78560ae4a16e8e19e9b7f72ddfad2357e22211cba4e621fb6df7055", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33495, + "estimated_input_tokens": 8374, + "estimated_eval_tokens": 17004 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of loosely related diffusion/LoRA/controlnet support and error reports. Only the two SDXL VAE loading issues look like a plausible duplicate pair; the rest are different bugs or different code paths.", + "confidence": 0.69, + "canonical_issue_reason": "issue:6250 is the most specific, concrete report in the cluster: it names the exact failure mode (KeyError) and the trigger (loading SDXL VAE from a single file), which makes it the best canonical representative for the only likely duplicate pair.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6250 is the best overall issue choice because it is the clearest, most actionable report and directly captures the likely duplicate topic more precisely than the broader SDXL VAE issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10026", + "right": "issue:1734", + "accept": false, + "reason": "Both are multi-GPU training performance/memory complaints, but they describe different symptoms and settings (memory not reduced vs much slower training), so they are not the same concrete bug." + }, + { + "left": "issue:10969", + "right": "issue:9799", + "accept": false, + "reason": "Both involve training/runtime errors, but the actual failures are different tensor/shape errors in different contexts; no clear shared underlying bug." + }, + { + "left": "issue:1672", + "right": "issue:4000", + "accept": false, + "reason": "Both mention ckpt-to-diffusers conversion, but one is about wrong output image size while the other is a general conversion request for SD2; different issues." + }, + { + "left": "issue:6238", + "right": "issue:6250", + "accept": true, + "reason": "Both are about SDXL VAE loading problems, and 6250 is a concrete symptom of the broader SDXL VAE issue described in 6238." + }, + { + "left": "issue:4736", + "right": "issue:7310", + "accept": false, + "reason": "Same training script family, but the reported failures differ substantially (OOM/invalid cast vs defaults not working), so they are not the same bug." + }, + { + "left": "issue:3250", + "right": "issue:6323", + "accept": false, + "reason": "Different pipelines and different failures; these do not look like the same underlying code-path problem." + }, + { + "left": "issue:8588", + "right": "issue:8726", + "accept": false, + "reason": "One is a missing conversion script, the other is text encoder errors in SD3 dreambooth training scripts; related area but not the same bug." + }, + { + "left": "issue:4086", + "right": "issue:5465", + "accept": false, + "reason": "Both are model/pipeline training issues, but they concern different functionality and failure modes; too broad to be duplicates." + }, + { + "left": "issue:2844", + "right": "issue:4303", + "accept": false, + "reason": "These concern different pipelines and different loading/runtime failures, with no clear shared code-path bug." + }, + { + "left": "issue:1774", + "right": "issue:350", + "accept": false, + "reason": "General OOM vs a question about typical UNet memory usage; not the same issue." + }, + { + "left": "issue:3379", + "right": "issue:746", + "accept": false, + "reason": "Both mention loading, but they are unrelated components and errors." + }, + { + "left": "issue:11148", + "right": "issue:12689", + "accept": false, + "reason": "Both involve LoRA/PEFT, but one is about adapter config flags and the other about adapter weights from checkpoints; different defects." + }, + { + "left": "issue:5436", + "right": "issue:6540", + "accept": false, + "reason": "Both are ControlNet training problems, but the specific errors and likely causes are different." + }, + { + "left": "issue:11853", + "right": "issue:9187", + "accept": false, + "reason": "Both mention IP-Adapter/SDXL, but one is a size/load combination issue and the other is an image_encoder_folder=None regression; not the same bug." + }, + { + "left": "issue:5575", + "right": "issue:6661", + "accept": false, + "reason": "A LoRA layer sizing question and an MPS OOM report are unrelated." + }, + { + "left": "issue:4354", + "right": "issue:5150", + "accept": false, + "reason": "Both are from_single_file-related, but they are different pipelines and different behaviors (missing method vs wrong returned type)." + }, + { + "left": "issue:4061", + "right": "issue:5693", + "accept": false, + "reason": "Both are loading errors, but they refer to different model components and no shared failure mode is evident." + }, + { + "left": "issue:1643", + "right": "issue:7629", + "accept": false, + "reason": "These are unrelated issues across different features and versions; no duplicate signal." + }, + { + "left": "issue:1962", + "right": "issue:6460", + "accept": false, + "reason": "Video generation and inpainting loading are unrelated." + }, + { + "left": "issue:6513", + "right": "issue:8482", + "accept": false, + "reason": "One is missing support for a specific T2IAdapter model; the other is support for SD3-medium. Same broad area only, not the same change." + }, + { + "left": "issue:4410", + "right": "issue:7770", + "accept": false, + "reason": "Both mention loading shape mismatches, but they affect different models/paths and the errors are not clearly the same bug." + }, + { + "left": "issue:10512", + "right": "issue:9270", + "accept": false, + "reason": "Both mention Flux LoRA, but one is a specific load failure and the other is a broader support gap; not the same concrete issue." + }, + { + "left": "issue:11824", + "right": "issue:9106", + "accept": false, + "reason": "Completely different pipelines and error types." + }, + { + "left": "issue:1005", + "right": "issue:3250", + "accept": false, + "reason": "An inference-timestep question and a pipeline load failure are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and appropriately conservative. The only accepted duplicate pair, issue:6238 and issue:6250, is a reasonable match based on the SDXL VAE loading titles, and the other pair verdicts do not overclaim beyond the packet evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 105, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10472", + "issue:1060", + "issue:11584", + "issue:11839", + "issue:11864", + "issue:12085", + "issue:12126", + "issue:12147", + "issue:12529", + "issue:12599", + "issue:13258", + "issue:1398", + "issue:2459", + "issue:2596", + "issue:2784", + "issue:3700", + "issue:378", + "issue:4134", + "issue:4446", + "issue:4754", + "issue:4801", + "issue:5256", + "issue:5425", + "issue:5576", + "issue:5605", + "issue:5927", + "issue:6107", + "issue:6283", + "issue:6636", + "issue:671", + "issue:6832", + "issue:6839", + "issue:7306", + "issue:7935", + "issue:7936", + "issue:8495", + "issue:8556", + "issue:8637", + "issue:8790", + "issue:8827", + "issue:8939", + "issue:9167", + "issue:9187", + "issue:9320", + "issue:9410", + "issue:9613", + "issue:9953" + ], + "soft_pairs": [ + "issue:5927|issue:8790", + "issue:8637|issue:9167", + "issue:2596|issue:6636", + "issue:12147|issue:12529", + "issue:8939|issue:9320", + "issue:8495|issue:8556", + "issue:12599|issue:9953", + "issue:378|issue:4754", + "issue:6283|issue:7306", + "issue:1060|issue:671", + "issue:11584|issue:11864", + "issue:7935|issue:7936", + "issue:11839|issue:12085", + "issue:5256|issue:5605", + "issue:12126|issue:13258", + "issue:6832|issue:8827", + "issue:6636|issue:9410", + "issue:6107|issue:9187", + "issue:10472|issue:9613", + "issue:2784|issue:5576", + "issue:4801|issue:5425", + "issue:2459|issue:3700", + "issue:4446|issue:6839", + "issue:1398|issue:4134" + ], + "prepared_review_unit_hash": "eefaf09ddb69ed276a36a24d04b746d733fb94236da4eee4df3f7941a249542a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33920, + "estimated_input_tokens": 8480, + "estimated_eval_tokens": 17216 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose grouping of loading/inference issues across unrelated pipelines and models, so there is no strong duplicate set. The most representative issue is the open config.json loading problem for Stable Diffusion 2.1.", + "confidence": 0.33, + "canonical_issue_reason": "issue:7935 is the best anchor because it is open, clearly about a concrete model-loading failure, and is more representative of the cluster\u2019s dominant theme than the highly specific one-off reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:7935 is the strongest global issue candidate: it is specific enough to be actionable yet broad enough to represent the recurring loading/config-path failures in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5927", + "right": "issue:8790", + "accept": false, + "reason": "Different problems: one is an IP-Adapter/Reference inpaint combo request, the other is SDXL TensorRT + IP Adapter. Same subsystem, not the same concrete bug." + }, + { + "left": "issue:8637", + "right": "issue:9167", + "accept": false, + "reason": "Both are import-related, but they are different missing symbols for different pipelines/classes and not the same underlying defect." + }, + { + "left": "issue:2596", + "right": "issue:6636", + "accept": false, + "reason": "One is a bad docs reference to load_image, the other is an import error for DIFFUSERS_SLOW_IMPORT; unrelated failure modes." + }, + { + "left": "issue:12147", + "right": "issue:12529", + "accept": false, + "reason": "Both mention Wan2.2, but one is Lightning LoRA loading and the other is a tiled VAE tensor-size mismatch; different code paths." + }, + { + "left": "issue:8939", + "right": "issue:9320", + "accept": false, + "reason": "Tokenizer loading for SD3 vs custom diffusion save/load behavior; both are loading-related but not the same bug." + }, + { + "left": "issue:8495", + "right": "issue:8556", + "accept": false, + "reason": "Both concern SD3 loading, but one is tokenizer JSON parsing and the other is a meta-tensor copy failure in from_single_file; distinct issues." + }, + { + "left": "issue:12599", + "right": "issue:9953", + "accept": false, + "reason": "Both involve moving pipelines to CUDA, but one is slow transfer and the other is a hard error with quantized components; not duplicate bug reports." + }, + { + "left": "issue:378", + "right": "issue:4754", + "accept": false, + "reason": "Textual inversion model loading versus missing model_index.json after load; different artifacts and failure points." + }, + { + "left": "issue:6283", + "right": "issue:7306", + "accept": false, + "reason": "Both are pipeline usage errors, but one is ControlNet img2img strength=0 behavior and the other is float16 support in a different pipeline; not the same bug." + }, + { + "left": "issue:1060", + "right": "issue:671", + "accept": false, + "reason": "Both relate to Stable Diffusion conversion/safety-checker behavior, but one is a converter script load failure and the other is model fidelity after conversion." + }, + { + "left": "issue:11584", + "right": "issue:11864", + "accept": false, + "reason": "Both mention torch.compile, but one is incompatibility with group offloading in a video model and the other is an AutoencoderDC fullgraph name resolution error." + }, + { + "left": "issue:7935", + "right": "issue:7936", + "accept": false, + "reason": "Both are loading errors, but one is a missing remote config.json and the other is invalid JSON when loading a local safetensors file." + }, + { + "left": "issue:11839", + "right": "issue:12085", + "accept": false, + "reason": "Both are gguf load errors, but they affect different pipelines/models and different invalid-input conditions." + }, + { + "left": "issue:5256", + "right": "issue:5605", + "accept": false, + "reason": "Training support request vs per-image caption support request; related area, but not the same feature or bug." + }, + { + "left": "issue:12126", + "right": "issue:13258", + "accept": false, + "reason": "Both involve Wan2.2 variants, but one is a cache_context attribute error when swapping transformers and the other is a missing image-to-video pipeline exposure." + }, + { + "left": "issue:6832", + "right": "issue:8827", + "accept": false, + "reason": "Both are IP-Adapter/FaceID-related, but the failures are different: tuple shape handling versus a generic error in usage." + }, + { + "left": "issue:6636", + "right": "issue:9410", + "accept": false, + "reason": "Missing import names for different SD3-related symbols; same release family, but not the same missing export." + }, + { + "left": "issue:6107", + "right": "issue:9187", + "accept": false, + "reason": "Both concern IP-Adapter on different environments/configurations, but one is AWS EC2 deployment and the other is SDXL with image_encoder_folder=None after Kolors update." + }, + { + "left": "issue:10472", + "right": "issue:9613", + "accept": false, + "reason": "Different errors entirely: LoRA loading with unexpected lora_bias argument versus a Timesteps.scale attribute missing in newer diffusers." + }, + { + "left": "issue:2784", + "right": "issue:5576", + "accept": false, + "reason": "Feature request for Dreambooth on text2video models versus request to implement FreeNoise scheduler; same domain, different change." + }, + { + "left": "issue:4801", + "right": "issue:5425", + "accept": false, + "reason": "Both touch training scripts, but one is mixed precision in unconditional training and the other is checkpoint saving compatibility with accelerate/PT 2.1." + }, + { + "left": "issue:2459", + "right": "issue:3700", + "accept": false, + "reason": "Both are train_text_to_image_lora.py related, but one is xformers attention not working and the other is min_snr argument not being usable; separate issues." + }, + { + "left": "issue:4446", + "right": "issue:6839", + "accept": false, + "reason": "Both are single-file/pipeline loading problems, but they concern different pipelines and different limitations." + }, + { + "left": "issue:1398", + "right": "issue:4134", + "accept": false, + "reason": "Both involve MPS/tensor shape issues on Apple Silicon, but one is Stable Diffusion 2 support broadly and the other is a ControlNet pretrained-model tensor mismatch." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 106, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10100", + "issue:1013", + "issue:10139", + "issue:10447", + "issue:1061", + "issue:10639", + "issue:10653", + "issue:10823", + "issue:11232", + "issue:1188", + "issue:12107", + "issue:12157", + "issue:12599", + "issue:1486", + "issue:1823", + "issue:1949", + "issue:2437", + "issue:2466", + "issue:2579", + "issue:2673", + "issue:2800", + "issue:3101", + "issue:3346", + "issue:3487", + "issue:3643", + "issue:3728", + "issue:3802", + "issue:3851", + "issue:4031", + "issue:4109", + "issue:4631", + "issue:5126", + "issue:5128", + "issue:5215", + "issue:5558", + "issue:5607", + "issue:5932", + "issue:6382", + "issue:6858", + "issue:7002", + "issue:7133", + "issue:7197", + "issue:7974", + "issue:9454", + "issue:9576", + "issue:9719" + ], + "soft_pairs": [ + "issue:4031|issue:5128", + "issue:2466|issue:3802", + "issue:10653|issue:12599", + "issue:6382|issue:7974", + "issue:5607|issue:7002", + "issue:3487|issue:5558", + "issue:3101|issue:6858", + "issue:12107|issue:12157", + "issue:3643|issue:4631", + "issue:7133|issue:7197", + "issue:10823|issue:11232", + "issue:5126|issue:5932", + "issue:10010|issue:9454", + "issue:10100|issue:10639", + "issue:1013|issue:4109", + "issue:10139|issue:9576", + "issue:10447|issue:9719", + "issue:1061|issue:1823", + "issue:1188|issue:2437", + "issue:1486|issue:2579", + "issue:1486|issue:3851", + "issue:1949|issue:3346", + "issue:2673|issue:5215", + "issue:2800|issue:3728" + ], + "prepared_review_unit_hash": "43dab3612e18c84bdb7e7268495f4260b4fb4f8c140a6fd460c5ca7fb2fc5d99", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33897, + "estimated_input_tokens": 8475, + "estimated_eval_tokens": 17206 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a loose collection of unrelated Diffusers issues. One likely duplicate pair is the checkpoints_total_limit training-example bug; the rest are only superficially similar and should stay separate.", + "confidence": 0.71, + "canonical_issue_reason": "Issue 2466 is the best anchor for the duplicate cluster because it is the earlier, more discussion-heavy report of the checkpoints_total_limit behavior in training examples.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 2466 is the strongest issue to represent the cluster: it is the clearest report of the underlying training-example checkpoints_total_limit bug and has the most triage signal among the accepted duplicate pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4031", + "right": "issue:5128", + "accept": false, + "reason": "Both involve loading-related failures, but one is about a local safety checker file and the other about XLPipeline.from_single_file with a .safetensors checkpoint; different code paths and bugs." + }, + { + "left": "issue:2466", + "right": "issue:3802", + "accept": true, + "reason": "Same underlying bug: checkpoints_total_limit not being enforced in training examples; the titles and problem descriptions align closely enough to merge." + }, + { + "left": "issue:10653", + "right": "issue:12599", + "accept": false, + "reason": "Both mention device movement, but one is a bitsandbytes 8-bit .to(cpu) limitation on a specific transformer, while the other is a general CUDA load/move slowness issue." + }, + { + "left": "issue:6382", + "right": "issue:7974", + "accept": false, + "reason": "Both mention IP-Adapter, but one is a training-time key error after LCM LoRA distillation and the other is an inpaint+face/style use case; not the same bug." + }, + { + "left": "issue:5607", + "right": "issue:7002", + "accept": false, + "reason": "Different failures: tensor shape mismatch in one case versus massive invalid buffer size in img2img in the other." + }, + { + "left": "issue:3487", + "right": "issue:5558", + "accept": false, + "reason": "One is about inpaint strength/scheduler quality, the other about multi-ControlNet artifacts; related area, but not the same concrete issue." + }, + { + "left": "issue:3101", + "right": "issue:6858", + "accept": false, + "reason": "Both concern ControlNet training, but one is a generic training-example error and the other is a specific 'str' has no attribute convert' failure; not the same bug." + }, + { + "left": "issue:12107", + "right": "issue:12157", + "accept": false, + "reason": "Both are training/runtime argument errors, but one is accelerator.init_trackers with custom objects and the other is a torch.device iterable error under bnb quantization; distinct causes." + }, + { + "left": "issue:3643", + "right": "issue:4631", + "accept": false, + "reason": "One is an INT_MAX buffer-size failure during latent decoding; the other is a scheduler scalar conversion error with Karras sigmas." + }, + { + "left": "issue:7133", + "right": "issue:7197", + "accept": false, + "reason": "Both are resume-from-checkpoint problems, but one is a text-encoder size mismatch in SDXL Dreambooth LoRA and the other is a KeyError on 'Shortest Edge' in a different training script." + }, + { + "left": "issue:10823", + "right": "issue:11232", + "accept": false, + "reason": "One is about missing output files from fine-tuning scripts; the other is about noise residuals during text-to-image fine-tuning. Different symptoms and fixes." + }, + { + "left": "issue:5126", + "right": "issue:5932", + "accept": false, + "reason": "A Conv2d signature error is not the same as a channel-count mismatch; these are separate model/input problems." + }, + { + "left": "issue:10010", + "right": "issue:9454", + "accept": false, + "reason": "Both are 'model not found' reports, but they target different models and different loaders/examples." + }, + { + "left": "issue:10100", + "right": "issue:10639", + "accept": false, + "reason": "These are separate feature requests for different model families (ConsisID vs Lumina-Image 2.0)." + }, + { + "left": "issue:1013", + "right": "issue:4109", + "accept": false, + "reason": "Different pipelines and different failure modes; no evidence they are the same underlying bug." + }, + { + "left": "issue:10139", + "right": "issue:9576", + "accept": false, + "reason": "Both involve pipeline loading/init, but one is about UNet sample_size handling and the other about use_safetensors propagation; distinct issues." + }, + { + "left": "issue:10447", + "right": "issue:9719", + "accept": false, + "reason": "Different topics: checkpoint conversion splitting UNet files versus progress-bar suppression during checkpoint shard loading." + }, + { + "left": "issue:1061", + "right": "issue:1823", + "accept": false, + "reason": "A documentation update for textual inversion is unrelated to swapped comments in Stable Diffusion depth2img." + }, + { + "left": "issue:1188", + "right": "issue:2437", + "accept": false, + "reason": "Both are pipeline feature requests, but for different additions (CLIPSeg+SD vs T2I-Adapter)." + }, + { + "left": "issue:1486", + "right": "issue:2579", + "accept": false, + "reason": "DDIMScheduler behavior is unrelated to a possible xFormers bug or misuse." + }, + { + "left": "issue:1486", + "right": "issue:3851", + "accept": false, + "reason": "Same scheduler class, but the reported settings and failure modes differ: prediction_type='sample' versus epsilon prediction with zero-SNR rescaling." + }, + { + "left": "issue:1949", + "right": "issue:3346", + "accept": false, + "reason": "Generic dreambooth tutorial errors are not the same as adding resume_from_checkpoint support to a LoRA training script." + }, + { + "left": "issue:2673", + "right": "issue:5215", + "accept": false, + "reason": "Both are about StableDiffusionUpscalePipeline, but one is a hard failure and the other is a brightness/quality regression; not the same bug." + }, + { + "left": "issue:2800", + "right": "issue:3728", + "accept": false, + "reason": "DiffEdit semantic editing and a new Shifted Diffusion pipeline request are unrelated changes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The cluster summary is grounded in the packet. The only accepted pair, issue:2466 and issue:3802, is a conservative match on the same checkpoints_total_limit training-example bug, and the anchor/canonical choice is supported by the stronger discussion signal on 2466. The other pairwise rejections are appropriately cautious and do not overclaim duplication from superficial topic overlap." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 107, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10671", + "issue:11006", + "issue:11627", + "issue:12494", + "issue:12565", + "issue:13300", + "issue:2507", + "issue:2988", + "issue:3886", + "issue:3910", + "issue:4037", + "issue:4206", + "issue:4376", + "issue:4885", + "issue:4975", + "issue:5128", + "issue:5337", + "issue:5425", + "issue:5457", + "issue:5593", + "issue:6159", + "issue:6252", + "issue:6842", + "issue:6879", + "issue:7389", + "issue:7390", + "issue:7441", + "issue:7793", + "issue:7982", + "issue:8532", + "issue:8534", + "issue:8540", + "issue:8543", + "issue:8805", + "issue:8817", + "issue:8834", + "issue:9042", + "issue:9109", + "issue:9156", + "issue:9167", + "issue:9309", + "issue:9450", + "issue:9527", + "issue:9546", + "issue:9630", + "issue:9873" + ], + "soft_pairs": [ + "issue:4037|issue:4206", + "issue:4975|issue:8532", + "issue:5337|issue:5457", + "issue:6842|issue:9167", + "issue:7441|issue:8805", + "issue:8534|issue:8543", + "issue:8540|issue:8834", + "issue:9042|issue:9873", + "issue:9450|issue:9630", + "issue:10671|issue:9527", + "issue:9309|issue:9546", + "issue:11627|issue:8817", + "issue:10026|issue:9156", + "issue:6159|issue:9109", + "issue:11006|issue:12565", + "issue:11627|issue:13300", + "issue:12494|issue:6879", + "issue:7389|issue:7390", + "issue:5593|issue:7982", + "issue:6252|issue:7793", + "issue:2507|issue:5128", + "issue:2988|issue:4376", + "issue:3910|issue:4885", + "issue:3886|issue:5425" + ], + "prepared_review_unit_hash": "37d3ab49a6ccdf5bd494840e10078a29df721c17f77888beaefa0f3646f0104e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33267, + "estimated_input_tokens": 8317, + "estimated_eval_tokens": 16890 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is broadly heterogeneous; most items are only loosely related by diffusion-model training/runtime topics. None of the soft pairs look like true duplicates. The clearest representative of the cluster\u2019s Flux runtime subset is issue 9450.", + "confidence": 0.77, + "canonical_issue_reason": "Issue 9450 is the most concrete, reproducible Flux runtime bug here: a specific multi-GPU device-mismatch failure with a clear error message and code-path focus.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9450 best captures the strongest shared theme in the cluster (Flux/ControlNet multi-GPU runtime failures) while remaining a specific bug rather than a feature request or question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4037", + "right": "issue:4206", + "accept": false, + "reason": "Both are ControlNet training failures, but one is FSDP validation errors and the other is SDXL main-branch breakage; different symptoms and likely different fixes." + }, + { + "left": "issue:4975", + "right": "issue:8532", + "accept": false, + "reason": "Both mention LoRA loading/memory, but one is repeated dtype-query inefficiency and the other is progressive memory growth; not clearly the same bug." + }, + { + "left": "issue:5337", + "right": "issue:5457", + "accept": false, + "reason": "These are unrelated documentation-style questions about different functions, not the same underlying bug or change." + }, + { + "left": "issue:6842", + "right": "issue:9167", + "accept": false, + "reason": "Both are import failures, but they concern different pipeline classes and different missing symbols." + }, + { + "left": "issue:7441", + "right": "issue:8805", + "accept": false, + "reason": "Python 3.12 pytest failure and a broken conversion script are unrelated issues." + }, + { + "left": "issue:8534", + "right": "issue:8543", + "accept": false, + "reason": "Both are SD3 dreambooth-related, but one is wrong weighting and the other is gradient-checkpointing failure; separate code paths." + }, + { + "left": "issue:8540", + "right": "issue:8834", + "accept": false, + "reason": "A caching idea for SD3 dreambooth training and a question about releasing SD3 ControlNet training code are not duplicates." + }, + { + "left": "issue:9042", + "right": "issue:9873", + "accept": false, + "reason": "These are different feature requests for different pipelines/models; same broad area, not the same change." + }, + { + "left": "issue:9450", + "right": "issue:9630", + "accept": false, + "reason": "Both are Flux multi-GPU issues, but the reported failures differ: device placement mismatch vs num_single_layers=0 behavior on a single GPU." + }, + { + "left": "issue:10671", + "right": "issue:9527", + "accept": false, + "reason": "Both involve dtype/device handling, but one is deterministic dtype/device queries in DiffusionPipeline while the other is a controlnet/mainpipe dtype mismatch." + }, + { + "left": "issue:9309", + "right": "issue:9546", + "accept": false, + "reason": "FluxControlNetPipeline on Flux 1 schnell and validation-step OOM in the train example are different concrete bugs." + }, + { + "left": "issue:11627", + "right": "issue:8817", + "accept": false, + "reason": "Both involve IP-Adapter support, but one is about StableDiffusion3Pipeline integration and the other is a FaceID-specific failure." + }, + { + "left": "issue:10026", + "right": "issue:9156", + "accept": false, + "reason": "Both are Flux training memory issues, but one is about DeepSpeed stage-3 not reducing memory and the other is a Flux LoRA OOM; not the same bug." + }, + { + "left": "issue:6159", + "right": "issue:9109", + "accept": false, + "reason": "SDXL ControlNet denoising_end support and missing torchvision::nms are unrelated." + }, + { + "left": "issue:11006", + "right": "issue:12565", + "accept": false, + "reason": "Both mention Wan2.1 i2v, but one is a quantized-transformer output corruption and the other is a general running issue; too little evidence for one bug." + }, + { + "left": "issue:11627", + "right": "issue:13300", + "accept": false, + "reason": "SD3 IP-Adapter support and CPU generation failures for SD3.5/FLUX are different problems." + }, + { + "left": "issue:12494", + "right": "issue:6879", + "accept": false, + "reason": "Both surface matmul/runtime errors, but one is a shape mismatch in new scripts and the other is a dtype mismatch in Custom Diffusion." + }, + { + "left": "issue:7389", + "right": "issue:7390", + "accept": false, + "reason": "Both are from_single_file errors, but they affect different pipelines and likely different edge cases." + }, + { + "left": "issue:5593", + "right": "issue:7982", + "accept": false, + "reason": "Both concern from_pipe with ControlNet-related components, but one is generic ControlNet pipelines and the other is MultiControlNetModel; not clearly the same bug." + }, + { + "left": "issue:6252", + "right": "issue:7793", + "accept": false, + "reason": "Loading LoRA weights and unloading DeepFloyd LoRA weights are opposite operations and different failures." + }, + { + "left": "issue:2507", + "right": "issue:5128", + "accept": false, + "reason": "GPU safetensors loading slowdown and a from_single_file loading error are unrelated." + }, + { + "left": "issue:2988", + "right": "issue:4376", + "accept": false, + "reason": "Scheduler step-count crash and textual inversion crash are unrelated." + }, + { + "left": "issue:3886", + "right": "issue:5425", + "accept": false, + "reason": "Distributed training timeout and checkpoint-saving compatibility issues are different training-infrastructure problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 108, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10472", + "issue:10760", + "issue:11962", + "issue:13351", + "issue:1556", + "issue:1614", + "issue:1814", + "issue:2507", + "issue:2560", + "issue:259", + "issue:2614", + "issue:2695", + "issue:2784", + "issue:2880", + "issue:2984", + "issue:3221", + "issue:3405", + "issue:3584", + "issue:3812", + "issue:4037", + "issue:4186", + "issue:4591", + "issue:4724", + "issue:4840", + "issue:4885", + "issue:5399", + "issue:5592", + "issue:5770", + "issue:5777", + "issue:5829", + "issue:5845", + "issue:5972", + "issue:6073", + "issue:6492", + "issue:6823", + "issue:7082", + "issue:7239", + "issue:7421", + "issue:7708", + "issue:835", + "issue:9012", + "issue:9208", + "issue:9239", + "issue:941", + "issue:964", + "issue:9731", + "issue:987" + ], + "soft_pairs": [ + "issue:6492|issue:9239", + "issue:4591|issue:7421", + "issue:4186|issue:964", + "issue:3584|issue:6073", + "issue:10472|issue:9731", + "issue:2695|issue:5972", + "issue:11962|issue:13351", + "issue:1556|issue:2507", + "issue:4885|issue:9012", + "issue:5777|issue:5845", + "issue:10760|issue:7082", + "issue:1814|issue:2614", + "issue:2560|issue:941", + "issue:259|issue:2880", + "issue:4840|issue:5592", + "issue:6823|issue:9208", + "issue:3812|issue:7708", + "issue:2784|issue:2984", + "issue:5770|issue:5829", + "issue:5399|issue:7239", + "issue:3405|issue:4037", + "issue:3221|issue:4724", + "issue:835|issue:987", + "issue:1614|issue:987" + ], + "prepared_review_unit_hash": "40831b43f3d87ef2b168548670810bb31ac39ae9cec9ad265b8faeeae359241e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33278, + "estimated_input_tokens": 8320, + "estimated_eval_tokens": 16896 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated or only broadly similar by subsystem. The only likely duplicate pair is the Pixart Alpha DreamBooth training failure; the rest should stay separate.", + "confidence": 0.86, + "canonical_issue_reason": "issue:5845 has the clearest, most specific title for the Pixart Alpha DreamBooth failure, making it a better representative than the more generic/typoed wording in issue:5777.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5845 is the best cluster representative because it names the model and training mode precisely and likely captures the underlying bug most cleanly.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6492", + "right": "issue:9239", + "accept": false, + "reason": "Both mention black images, but one is a generic generation symptom and the other is specifically ControlNet-Canny; too broad to be the same concrete bug." + }, + { + "left": "issue:4591", + "right": "issue:7421", + "accept": false, + "reason": "Both involve generation determinism/seeds, but they target different pipelines and failure modes (Karlo/unCLIP vs SDXL K-Diffusion)." + }, + { + "left": "issue:4186", + "right": "issue:964", + "accept": false, + "reason": "Both are inpainting-related, but one is a specific SDXL refiner compatibility issue and the other is a generic example failure." + }, + { + "left": "issue:3584", + "right": "issue:6073", + "accept": false, + "reason": "Both are DreamBooth tutorial problems, but they are different documents/training setups and likely different user errors." + }, + { + "left": "issue:10472", + "right": "issue:9731", + "accept": false, + "reason": "These are both LoRA-related, but one is a lora_bias constructor error and the other is a how-to question about training style LoRA; not the same bug." + }, + { + "left": "issue:2695", + "right": "issue:5972", + "accept": false, + "reason": "One is a ControlNet training validation bug, the other is a documentation request about Min-SNR weighting." + }, + { + "left": "issue:11962", + "right": "issue:13351", + "accept": false, + "reason": "Different model families and features (FLUX GGUF support vs Wan/Flux ControlNet support), so not the same underlying change." + }, + { + "left": "issue:1556", + "right": "issue:2507", + "accept": false, + "reason": "One is black outputs with CUDA/NSFW warning, the other is safetensors load performance on GPU; unrelated symptoms." + }, + { + "left": "issue:4885", + "right": "issue:9012", + "accept": false, + "reason": "Both are controlnet model-loading problems, but they affect different model classes and error paths." + }, + { + "left": "issue:5777", + "right": "issue:5845", + "accept": true, + "reason": "Both describe DreamBooth training failing with Pixart Alpha; the titles point to the same underlying training bug." + }, + { + "left": "issue:10760", + "right": "issue:7082", + "accept": false, + "reason": "Both are import errors, but they reference different symbols and different packages/modules." + }, + { + "left": "issue:1814", + "right": "issue:2614", + "accept": false, + "reason": "Unrelated topics: CLIP model support versus changing the pretrained-model download directory." + }, + { + "left": "issue:2560", + "right": "issue:941", + "accept": false, + "reason": "Both concern generator-related output differences, but one is img2img with generator lists and the other is an MPS-specific num_images_per_prompt noise issue." + }, + { + "left": "issue:259", + "right": "issue:2880", + "accept": false, + "reason": "These do not describe the same bug; one is a progress-bar fix and the other is a JAX colab runtime issue." + }, + { + "left": "issue:4840", + "right": "issue:5592", + "accept": false, + "reason": "Both mention checkpoint loading, but they are different models and conversion/loading code paths." + }, + { + "left": "issue:6823", + "right": "issue:9208", + "accept": false, + "reason": "Both involve ControlNet, but one is a broad inability to use it while the other is a specific from_single_file loading bug." + }, + { + "left": "issue:3812", + "right": "issue:7708", + "accept": false, + "reason": "Different missing-config problems on different assets; not the same artifact or code path." + }, + { + "left": "issue:2784", + "right": "issue:2984", + "accept": false, + "reason": "A feature request for DreamBooth text-to-video support is not the same as a paper/project issue about latent video diffusion models." + }, + { + "left": "issue:5770", + "right": "issue:5829", + "accept": false, + "reason": "Both are LCM-related, but one is blocked by dataset access and the other is a script crash from a missing argument." + }, + { + "left": "issue:5399", + "right": "issue:7239", + "accept": false, + "reason": "Completely different failures: dtype mismatch in custom inpainting inference versus SDXL LoRA shape mismatch." + }, + { + "left": "issue:3405", + "right": "issue:4037", + "accept": false, + "reason": "Both are ControlNet training issues, but one is a generic training bug and the other is specifically FSDP validation errors." + }, + { + "left": "issue:3221", + "right": "issue:4724", + "accept": false, + "reason": "Different pipelines and failures: attention processor loading in diffusers 0.16.0 versus SDXL img2img checkpoint behavior." + }, + { + "left": "issue:835", + "right": "issue:987", + "accept": false, + "reason": "Both involve incorrect image outputs, but the pipelines and symptom details differ too much to merge." + }, + { + "left": "issue:1614", + "right": "issue:987", + "accept": false, + "reason": "Both are image-output defects, but one is black outputs under autocast and the other is green output in speech-to-image; not the same bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The assessment is grounded in the packet and stays conservative. The Pixart Alpha DreamBooth pair (5777, 5845) is the only duplicate-like match supported by the titles, and the other soft-edge rejections avoid overclaiming beyond the available evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 109, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10066", + "issue:10194", + "issue:10382", + "issue:10453", + "issue:10989", + "issue:11408", + "issue:11432", + "issue:11436", + "issue:1231", + "issue:1363", + "issue:2447", + "issue:2695", + "issue:2822", + "issue:2875", + "issue:2947", + "issue:3094", + "issue:3111", + "issue:3221", + "issue:3296", + "issue:3480", + "issue:4073", + "issue:4086", + "issue:4210", + "issue:4389", + "issue:4852", + "issue:4874", + "issue:5128", + "issue:5254", + "issue:5465", + "issue:5829", + "issue:5881", + "issue:5886", + "issue:5897", + "issue:5997", + "issue:6250", + "issue:6371", + "issue:6565", + "issue:7033", + "issue:7168", + "issue:7238", + "issue:7877", + "issue:8410", + "issue:8464", + "issue:8645", + "issue:9096", + "issue:9370", + "issue:9825", + "issue:9856" + ], + "soft_pairs": [ + "issue:8410|issue:9825", + "issue:4852|issue:5128", + "issue:6250|issue:9856", + "issue:10382|issue:4210", + "issue:11436|issue:9096", + "issue:2447|issue:5897", + "issue:5829|issue:9370", + "issue:10453|issue:11408", + "issue:3094|issue:6371", + "issue:2822|issue:5881", + "issue:5254|issue:5465", + "issue:10989|issue:8464", + "issue:4210|issue:8645", + "issue:4874|issue:5128", + "issue:2695|issue:5997", + "issue:3221|issue:4086", + "issue:3296|issue:4389", + "issue:1231|issue:1363", + "issue:5886|issue:7238", + "issue:10066|issue:11432", + "issue:10194|issue:7877", + "issue:7033|issue:7168", + "issue:2875|issue:6565", + "issue:2947|issue:4073", + "issue:3111|issue:3480" + ], + "prepared_review_unit_hash": "2c4d606ac0a8fb582eaf4c96e48adfcf7223a4b2705ec60ddfbcf5ecc0f9b296", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34556, + "estimated_input_tokens": 8639, + "estimated_eval_tokens": 17534 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft-edge pair looks like the same underlying bug/change. The items are mostly heterogeneous, with only superficial overlap in keywords like Flux, IP-Adapter, loading, or dtype.", + "confidence": 0.39, + "canonical_issue_reason": "issue:10194 is the broadest open issue in the set and the most reasonable anchor for an attention-masking-related cluster, though the overall set is still quite mixed.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10194 is the strongest single issue to surface for follow-up: open, clearly scoped, and more central than the narrower one-off bug reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8410", + "right": "issue:9825", + "accept": false, + "reason": "Both are Flux/feature requests, but one is about native TextDiffuser support and the other about IP-Adapter support; different changes." + }, + { + "left": "issue:4852", + "right": "issue:5128", + "accept": false, + "reason": "Both mention loading assets, but one is a LoRA loading failure and the other is single-file safetensors loading; distinct code paths." + }, + { + "left": "issue:6250", + "right": "issue:9856", + "accept": false, + "reason": "VAE single-file KeyError and distributed port collision are unrelated failures." + }, + { + "left": "issue:10382", + "right": "issue:4210", + "accept": false, + "reason": "VAE encoder return-type mismatch is unrelated to UNet attention_mask usage questions." + }, + { + "left": "issue:11436", + "right": "issue:9096", + "accept": false, + "reason": "Both are Flux inference precision issues, but one is a concrete dtype mismatch and the other is NaN output behavior; not the same bug." + }, + { + "left": "issue:2447", + "right": "issue:5897", + "accept": false, + "reason": "Different LoRA problems: generic LoRA error versus device placement mismatch in a training script." + }, + { + "left": "issue:5829", + "right": "issue:9370", + "accept": false, + "reason": "Both involve missing model arguments, but they affect different architectures and different missing parameters." + }, + { + "left": "issue:10453", + "right": "issue:11408", + "accept": false, + "reason": "Batch-size limitation in Hunyuan Video is unrelated to set_adapters not working on compiled models." + }, + { + "left": "issue:3094", + "right": "issue:6371", + "accept": false, + "reason": "CUDA OOM during training and a controlnet_xs assertion failure are not the same issue." + }, + { + "left": "issue:2822", + "right": "issue:5881", + "accept": false, + "reason": "Slow convergence and worse animatediff quality are related at a high level but not the same concrete defect." + }, + { + "left": "issue:5254", + "right": "issue:5465", + "accept": false, + "reason": "Both are pipeline feature requests, but they target different pipelines and different capabilities." + }, + { + "left": "issue:10989", + "right": "issue:8464", + "accept": false, + "reason": "Flux ControlNet LoRA quantization load failure and SEGA seed/offload failure are unrelated." + }, + { + "left": "issue:4210", + "right": "issue:8645", + "accept": false, + "reason": "UNet attention_mask usage and a missing utility function are unrelated." + }, + { + "left": "issue:4874", + "right": "issue:5128", + "accept": false, + "reason": "Both involve loading/local use, but one is a scheduler bug and the other is a single-file model-loading error." + }, + { + "left": "issue:2695", + "right": "issue:5997", + "accept": false, + "reason": "Training validation logging failure and SDXL ControlNet tutorial type mismatch are different problems." + }, + { + "left": "issue:3221", + "right": "issue:4086", + "accept": false, + "reason": "Missing load_attn_procs support and SDXL ControlNet training not working are distinct issues." + }, + { + "left": "issue:3296", + "right": "issue:4389", + "accept": false, + "reason": "Checkpoint save/load with text_encoder and ControlNetModel load failure do not share the same underlying bug." + }, + { + "left": "issue:1231", + "right": "issue:1363", + "accept": false, + "reason": "Both mention LMS/K-LMS, but Flax scheduler support and ONNX long-prompt-weight errors are separate contexts." + }, + { + "left": "issue:5886", + "right": "issue:7238", + "accept": false, + "reason": "IP-Adapter face model support and IP-Adapter masking are different feature requests." + }, + { + "left": "issue:10066", + "right": "issue:11432", + "accept": false, + "reason": "A self.attn unpacking error and torch_dtype='auto' behavior are different failure modes." + }, + { + "left": "issue:10194", + "right": "issue:7877", + "accept": false, + "reason": "Attention masking support and an out_dim argument for Attention block are related only broadly, not the same concrete change." + }, + { + "left": "issue:7033", + "right": "issue:7168", + "accept": false, + "reason": "Attention masking warning logs versus 4D image-embedding shape confusion are distinct IP-Adapter issues." + }, + { + "left": "issue:2875", + "right": "issue:6565", + "accept": false, + "reason": "NaN training loss and DPO diffusion training instability are not the same defect." + }, + { + "left": "issue:2947", + "right": "issue:4073", + "accept": false, + "reason": "Missing load_attn_procs attribute and Tensor.astype error in safety checker are unrelated." + }, + { + "left": "issue:3111", + "right": "issue:3480", + "accept": false, + "reason": "Custom conditioning encoder support and text-encoder LoRA scale parameter support are different enhancements." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 110, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10121", + "issue:10925", + "issue:11185", + "issue:11363", + "issue:11464", + "issue:11878", + "issue:13105", + "issue:1315", + "issue:1572", + "issue:1944", + "issue:2163", + "issue:2596", + "issue:3405", + "issue:3631", + "issue:3643", + "issue:4086", + "issue:4186", + "issue:4356", + "issue:4969", + "issue:5128", + "issue:5259", + "issue:5515", + "issue:5619", + "issue:5892", + "issue:6016", + "issue:6130", + "issue:6196", + "issue:6256", + "issue:6439", + "issue:6548", + "issue:6870", + "issue:7003", + "issue:7119", + "issue:7293", + "issue:730", + "issue:7378", + "issue:7538", + "issue:7735", + "issue:7757", + "issue:7960", + "issue:8956", + "issue:9208", + "issue:9278", + "issue:9501", + "issue:9558", + "issue:9731", + "issue:9804", + "issue:9895" + ], + "soft_pairs": [ + "issue:4969|issue:5892", + "issue:3405|issue:4086", + "issue:1572|issue:3631", + "issue:6548|issue:9558", + "issue:5515|issue:5619", + "issue:11878|issue:13105", + "issue:6256|issue:7293", + "issue:6439|issue:7119", + "issue:6870|issue:7735", + "issue:9208|issue:9804", + "issue:10121|issue:11185", + "issue:6016|issue:7003", + "issue:7538|issue:9731", + "issue:7757|issue:7960", + "issue:1315|issue:2596", + "issue:9278|issue:9501", + "issue:2163|issue:6130", + "issue:5128|issue:6196", + "issue:1944|issue:730", + "issue:10925|issue:11464", + "issue:4186|issue:6870", + "issue:4356|issue:5259", + "issue:8956|issue:9804", + "issue:11363|issue:9895", + "issue:3643|issue:7378" + ], + "prepared_review_unit_hash": "4493622efa78e750da86830861df795d756c4fe80652285df4e336ba0c80b86d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34350, + "estimated_input_tokens": 8588, + "estimated_eval_tokens": 17432 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated issues across training, inference, loading, and docs. None of the soft-edge pairs look like the same underlying bug/change closely enough to merge.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 9208 is the closest thing to a cluster anchor because it is a concrete, reproducible model-loading bug, but even it does not subsume the rest of the items.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9208 is the strongest standalone issue in this list: specific, actionable, and easy to reproduce. It is still not a good global duplicate representative beyond its own controlnet-loading niche.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4969", + "right": "issue:5892", + "accept": false, + "reason": "Both are import errors, but they refer to different missing symbols and likely different breakages." + }, + { + "left": "issue:3405", + "right": "issue:4086", + "accept": false, + "reason": "Both mention controlnet training, but one is a general training bug and the other is an SDXL-specific training failure." + }, + { + "left": "issue:1572", + "right": "issue:3631", + "accept": false, + "reason": "Both touch inpainting/img2img, but one is a broad pipeline compatibility problem and the other is a specific latents-input exception." + }, + { + "left": "issue:6548", + "right": "issue:9558", + "accept": false, + "reason": "Different symptoms and code paths: RGBA latents handling vs black validation images in tensorboard." + }, + { + "left": "issue:5515", + "right": "issue:5619", + "accept": false, + "reason": "Different pipeline problems: missing scheduler initialization vs AutoencodeTiny behavior in LCM img2img." + }, + { + "left": "issue:11878", + "right": "issue:13105", + "accept": false, + "reason": "Both are Wan 1.3B-related, but one is GGUF loading and the other is output quality/noise during inference." + }, + { + "left": "issue:6256", + "right": "issue:7293", + "accept": false, + "reason": "A callback feature request is unrelated to integrating a specific audio model." + }, + { + "left": "issue:6439", + "right": "issue:7119", + "accept": false, + "reason": "Both are docs issues, but the broken links are not the same target or bug." + }, + { + "left": "issue:6870", + "right": "issue:7735", + "accept": false, + "reason": "Unrelated: VAE tiling support in pipelines versus a dataset caption-column training error." + }, + { + "left": "issue:9208", + "right": "issue:9804", + "accept": false, + "reason": "Both concern ControlNet loading locally, but they are different APIs and failure modes, so they should not be merged as the same bug." + }, + { + "left": "issue:10121", + "right": "issue:11185", + "accept": false, + "reason": "Different models and failures: FLUX high-resolution generation vs CogView4 generation error." + }, + { + "left": "issue:6016", + "right": "issue:7003", + "accept": false, + "reason": "These are separate conversion and inpainting shape issues with different code paths." + }, + { + "left": "issue:7538", + "right": "issue:9731", + "accept": false, + "reason": "Both are training-help issues, but they are about different datasets/models and different user problems." + }, + { + "left": "issue:7757", + "right": "issue:7960", + "accept": false, + "reason": "Both involve SDXL multi-GPU training, but the concrete reports differ enough that they are not the same bug." + }, + { + "left": "issue:1315", + "right": "issue:2596", + "accept": false, + "reason": "Different import/documentation problems and different missing names." + }, + { + "left": "issue:9278", + "right": "issue:9501", + "accept": false, + "reason": "Both are FLUX DreamBooth training reports, but one is multi-GPU training and the other is delayed model saving." + }, + { + "left": "issue:2163", + "right": "issue:6130", + "accept": false, + "reason": "A dtype mismatch in a training example is unrelated to a LoRA loading error." + }, + { + "left": "issue:5128", + "right": "issue:6196", + "accept": false, + "reason": "These concern different loaders and different model types, so they are not the same underlying bug." + }, + { + "left": "issue:1944", + "right": "issue:730", + "accept": false, + "reason": "Both are DreamBooth training complaints, but the symptoms and likely causes are different." + }, + { + "left": "issue:10925", + "right": "issue:11464", + "accept": false, + "reason": "Flux DreamBooth finetuning and loading a Flux ControlNet LoRA are different tasks and failures." + }, + { + "left": "issue:4186", + "right": "issue:6870", + "accept": false, + "reason": "Both mention inpainting, but one is SDXL refiner behavior and the other is VAE tiling availability." + }, + { + "left": "issue:4356", + "right": "issue:5259", + "accept": false, + "reason": "Completely different errors: a missing dummy module versus a missing model_index.json." + }, + { + "left": "issue:8956", + "right": "issue:9804", + "accept": false, + "reason": "An OpenVINO SDXL model-load failure is unrelated to ControlNet local-loading failure." + }, + { + "left": "issue:11363", + "right": "issue:9895", + "accept": false, + "reason": "CUDA OOM in a ControlNet example is unrelated to a Flux device-placement regression." + }, + { + "left": "issue:3643", + "right": "issue:7378", + "accept": false, + "reason": "Both involve latent decoding/memory, but the pipelines and failure modes are different." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 111, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10421", + "issue:1062", + "issue:10705", + "issue:10893", + "issue:11247", + "issue:1185", + "issue:12009", + "issue:1251", + "issue:12529", + "issue:12612", + "issue:12699", + "issue:1572", + "issue:1944", + "issue:2026", + "issue:2364", + "issue:2465", + "issue:2480", + "issue:2875", + "issue:3803", + "issue:3954", + "issue:4446", + "issue:4488", + "issue:4593", + "issue:4975", + "issue:5447", + "issue:5488", + "issue:5570", + "issue:5592", + "issue:5619", + "issue:5917", + "issue:6157", + "issue:6218", + "issue:6821", + "issue:6870", + "issue:7146", + "issue:7293", + "issue:7310", + "issue:7936", + "issue:8359", + "issue:8540", + "issue:8555", + "issue:8832", + "issue:8833", + "issue:8900", + "issue:9052", + "issue:9164", + "issue:9227", + "issue:9450" + ], + "soft_pairs": [ + "issue:12009|issue:12529", + "issue:3803|issue:3954", + "issue:4446|issue:8900", + "issue:7146|issue:7310", + "issue:5488|issue:6870", + "issue:7936|issue:8833", + "issue:5570|issue:5917", + "issue:10705|issue:9450", + "issue:10893|issue:7293", + "issue:1251|issue:8832", + "issue:2875|issue:6821", + "issue:6157|issue:6218", + "issue:10421|issue:11247", + "issue:1185|issue:2465", + "issue:1572|issue:2026", + "issue:8540|issue:8555", + "issue:5447|issue:5619", + "issue:4488|issue:5592", + "issue:4593|issue:4975", + "issue:1062|issue:1944", + "issue:9164|issue:9227", + "issue:12612|issue:12699", + "issue:2364|issue:2480", + "issue:8359|issue:9052" + ], + "prepared_review_unit_hash": "e944c8590a503e7b0e103166303293ad0a1c1c646de7887b192b7d8dfb813200", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34134, + "estimated_input_tokens": 8534, + "estimated_eval_tokens": 17324 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous; the only strong duplicate-looking pair is the two `from_single_file` custom-checkpoint loading failures. Most other pairs share a broad subsystem but describe different symptoms/code paths, so they should stay separate.", + "confidence": 0.59, + "canonical_issue_reason": "issue:8359 is the broadest and clearest representative of the one true duplicate-like thread here: `from_single_file` failing on custom checkpoints, with issue:9052 as the closest match.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8359 is the best anchor for this cluster because it captures the most reusable underlying bug class in the set and has the strongest duplicate candidate nearby.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12009", + "right": "issue:12529", + "accept": false, + "reason": "Both are Wan-related load/runtime failures, but one is GGUF single-file loading and the other is a tiled VAE tensor mismatch; different failure modes." + }, + { + "left": "issue:3803", + "right": "issue:3954", + "accept": false, + "reason": "Same broad multi-GPU training area, but one is model sharing across GPUs and the other is LR scheduler step counting; not the same bug." + }, + { + "left": "issue:4446", + "right": "issue:8900", + "accept": false, + "reason": "Both involve `from_single_file`, but one is custom text-encoder support and the other is SDXL refiner loading; different concrete problems." + }, + { + "left": "issue:7146", + "right": "issue:7310", + "accept": false, + "reason": "Both are SDXL training issues, but CUDA OOM is not the same as defaults not working; no clear shared root cause." + }, + { + "left": "issue:5488", + "right": "issue:6870", + "accept": false, + "reason": "Demo-code failure vs missing `enable_vae_tiling` in img2img/inpaint pipelines; too different to merge." + }, + { + "left": "issue:7936", + "right": "issue:8833", + "accept": false, + "reason": "Both are file/config loading errors, but one is invalid JSON from a safetensors file and the other is a missing `config.json` for SD3; likely separate causes." + }, + { + "left": "issue:5570", + "right": "issue:5917", + "accept": false, + "reason": "Packaging/utility function missing vs checkpoint conversion regression after upgrade; related area, different bug." + }, + { + "left": "issue:10705", + "right": "issue:9450", + "accept": false, + "reason": "Both mention Flux and multi-GPU context, but one is slower inference on reuse and the other is a device-placement error; not the same issue." + }, + { + "left": "issue:10893", + "right": "issue:7293", + "accept": false, + "reason": "Both are feature requests for model integration, but they target different pipelines/models and are not the same change." + }, + { + "left": "issue:1251", + "right": "issue:8832", + "accept": false, + "reason": "A black-image-on-MPS bug is distinct from a generic crash on `pipe(prompt).images[0]`." + }, + { + "left": "issue:2875", + "right": "issue:6821", + "accept": false, + "reason": "Training NaNs and a caption-column validation error are unrelated failure modes." + }, + { + "left": "issue:6157", + "right": "issue:6218", + "accept": false, + "reason": "IP-Adapter not working in one pipeline vs batched seeds not working in ControlNet/img2img; same broad area, different bug." + }, + { + "left": "issue:10421", + "right": "issue:11247", + "accept": false, + "reason": "Both are multi-GPU Flux-related, but one is a CPU memory leak moving pipelines and the other is a transformer/controlnet device-distribution error." + }, + { + "left": "issue:1185", + "right": "issue:2465", + "accept": false, + "reason": "Reproducibility complaint vs asking for a training recipe; different intent and likely different underlying issue." + }, + { + "left": "issue:1572", + "right": "issue:2026", + "accept": false, + "reason": "Different pipelines and different unsupported features: stable_diffusion_mega img2img/inpainting vs CPU offload in PaintByExample." + }, + { + "left": "issue:8540", + "right": "issue:8555", + "accept": false, + "reason": "Both are SD3 training-related feature requests, but one is about caching embeddings/VAE reps and the other about FP8/text-encoder training." + }, + { + "left": "issue:5447", + "right": "issue:5619", + "accept": false, + "reason": "Scheduler denoising_start behavior and AutoencodeTiny encode behavior are separate code paths." + }, + { + "left": "issue:4488", + "right": "issue:5592", + "accept": false, + "reason": "Both are checkpoint loading problems, but SDXL original-checkpoint conversion and UniDiffuser checkpoint loading are not the same bug." + }, + { + "left": "issue:4593", + "right": "issue:4975", + "accept": false, + "reason": "One is an A1111 LoRA rank compatibility problem, the other is inefficient dtype queries during LoRA loading; related subsystem, different issue." + }, + { + "left": "issue:1062", + "right": "issue:1944", + "accept": false, + "reason": "Both are Dreambooth reproducibility complaints, but they describe different models, prompts, and symptoms; too broad to merge." + }, + { + "left": "issue:9164", + "right": "issue:9227", + "accept": false, + "reason": "Same training script family, but one is non-convergence of an example and the other is a run problem with a specific model; not enough evidence of one bug." + }, + { + "left": "issue:12612", + "right": "issue:12699", + "accept": false, + "reason": "Both are Wan 2.2/2.1 quality/latency/NaN complaints, but one is NaNs in latents and the other is degradation after many prompts with a LoRA; different failure modes." + }, + { + "left": "issue:2364", + "right": "issue:2480", + "accept": false, + "reason": "General inability to run a training script vs a missing UNet checkpoint directory issue; distinct problems." + }, + { + "left": "issue:8359", + "right": "issue:9052", + "accept": true, + "reason": "Both report `from_single_file` failing on custom checkpoints/CivitAI checkpoints, which looks like the same underlying loading bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and stays conservative overall. The only accepted pair, issue:8359 with issue:9052, is a reasonable duplicate-like match based on both being `from_single_file` custom-checkpoint loading failures. The other pair rejections are appropriately cautious and do not overclaim a shared root cause from the available titles/bodies." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 112, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10139", + "issue:10223", + "issue:10472", + "issue:10671", + "issue:11133", + "issue:11160", + "issue:11199", + "issue:11218", + "issue:13258", + "issue:1434", + "issue:1478", + "issue:1572", + "issue:1672", + "issue:1976", + "issue:2439", + "issue:2659", + "issue:3101", + "issue:3377", + "issue:3428", + "issue:3539", + "issue:3812", + "issue:4255", + "issue:5544", + "issue:5577", + "issue:5593", + "issue:5630", + "issue:5647", + "issue:5687", + "issue:5881", + "issue:6069", + "issue:6250", + "issue:6297", + "issue:6517", + "issue:6540", + "issue:6870", + "issue:7243", + "issue:7405", + "issue:8909", + "issue:8939", + "issue:9026", + "issue:9069", + "issue:9208", + "issue:9237", + "issue:9278", + "issue:9613", + "issue:9667", + "issue:9768", + "issue:9911" + ], + "soft_pairs": [ + "issue:9237|issue:9278", + "issue:11133|issue:9613", + "issue:5647|issue:5687", + "issue:9026|issue:9069", + "issue:11160|issue:13258", + "issue:6297|issue:8939", + "issue:5577|issue:9208", + "issue:3101|issue:6540", + "issue:1672|issue:2659", + "issue:5593|issue:6069", + "issue:4255|issue:5881", + "issue:10671|issue:8909", + "issue:1976|issue:3812", + "issue:9768|issue:9911", + "issue:1572|issue:2439", + "issue:6250|issue:9667", + "issue:7243|issue:7405", + "issue:10139|issue:6870", + "issue:1434|issue:1478", + "issue:3428|issue:5630", + "issue:10223|issue:10472", + "issue:11199|issue:11218", + "issue:3377|issue:3539", + "issue:5544|issue:6517" + ], + "prepared_review_unit_hash": "c0d54eb8f89fc290df1ffac7efb2b0fbac19a94878493053fb01cfc010e47bd3", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34547, + "estimated_input_tokens": 8637, + "estimated_eval_tokens": 17530 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the items span unrelated pipeline, loading, training, and model-specific bugs. None of the soft-edge pairs look like true duplicates; they are only superficially similar by subsystem or wording.", + "confidence": 0.28, + "canonical_issue_reason": "Issue 10139 is the closest thing to a representative cluster anchor: it is a general pipeline-init bug with some inbound references, while the rest of the set is too diverse to support a stronger canonical choice.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10139 is the broadest, most central pipeline-related defect in the set, so it is the least bad representative even though the cluster itself is not a real duplicate group.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9237", + "right": "issue:9278", + "accept": false, + "reason": "Both involve FLUX LoRA training, but one is a general issue and the other is specifically multigpu training; different failure modes, not the same bug." + }, + { + "left": "issue:11133", + "right": "issue:9613", + "accept": false, + "reason": "Different pipelines and symptoms: CogVideoX image-to-video bug versus a Timesteps.scale attribute error in a custom diffusion model." + }, + { + "left": "issue:5647", + "right": "issue:5687", + "accept": false, + "reason": "Both touch img2img/inpaint behavior, but one is strength==1 handling and the other is duplicate timesteps with Karras sigmas; not the same root cause." + }, + { + "left": "issue:9026", + "right": "issue:9069", + "accept": false, + "reason": "Completely different errors: an unexpected force_hook keyword versus a type mismatch converting numpy arrays." + }, + { + "left": "issue:11160", + "right": "issue:13258", + "accept": false, + "reason": "Both mention WAN I2V, but one reports inconsistent inference on WAN 2.1 and the other is a missing WAN 2.2 model entry." + }, + { + "left": "issue:6297", + "right": "issue:8939", + "accept": false, + "reason": "Dreambooth LoRA training on personal photos is unrelated to a tokenizer import/load failure for SD3 Medium." + }, + { + "left": "issue:5577", + "right": "issue:9208", + "accept": false, + "reason": "Both relate to ControlNet loading, but one is a specific single-file KeyError and the other is broad model-loading support for from_single_file()." + }, + { + "left": "issue:3101", + "right": "issue:6540", + "accept": false, + "reason": "Training-example ControlNet error and FSDP mat2 shape error are different code paths and different symptoms." + }, + { + "left": "issue:1672", + "right": "issue:2659", + "accept": false, + "reason": "Wrong output size after ckpt conversion is not the same as nondeterministic changes with batch size." + }, + { + "left": "issue:5593", + "right": "issue:6069", + "accept": false, + "reason": "AutoPipeline ControlNet conversion failure and DPM++ add_noise failing at t=0 are unrelated." + }, + { + "left": "issue:4255", + "right": "issue:5881", + "accept": false, + "reason": "Both are quality-comparison complaints, but they concern different features and models; no shared bug." + }, + { + "left": "issue:10671", + "right": "issue:8909", + "accept": false, + "reason": "Device/dtype determinism in DiffusionPipeline is unrelated to saving text_encoder_ti during LoRA training." + }, + { + "left": "issue:1976", + "right": "issue:3812", + "accept": false, + "reason": "Tokenizer config lookup failure and missing controlnet config entry are different configuration/import problems." + }, + { + "left": "issue:9768", + "right": "issue:9911", + "accept": false, + "reason": "One is an SDPA/CuDNN NaN issue on torch 2.5; the other is a multi-ControlNet layer-length mismatch for FLUX." + }, + { + "left": "issue:1572", + "right": "issue:2439", + "accept": false, + "reason": "Both mention inpainting, but one is the stable_diffusion_mega pipeline failing for img2img/inpainting while the other is a general inpainting pipeline load/run issue." + }, + { + "left": "issue:6250", + "right": "issue:9667", + "accept": false, + "reason": "These are different model-loading failures: SDXL VAE single-file KeyError versus FLUX fp8 loading with a local transformer file." + }, + { + "left": "issue:7243", + "right": "issue:7405", + "accept": false, + "reason": "ResAdapter and DynamiCrafter are distinct model/model-card issues, not the same bug." + }, + { + "left": "issue:10139", + "right": "issue:6870", + "accept": false, + "reason": "Unet sample_size pipeline-init handling and missing enable_vae_tiling support in img2img/inpaint are unrelated." + }, + { + "left": "issue:1434", + "right": "issue:1478", + "accept": false, + "reason": "Both involve StableDiffusionUpscalePipeline, but one is OOM for larger inputs and the other is a one-image output limitation." + }, + { + "left": "issue:3428", + "right": "issue:5630", + "accept": false, + "reason": "Both concern img2img results, but one is an unexpected result after changing the pipeline and the other is LMS scheduler noise leftover in SDXL img2img." + }, + { + "left": "issue:10223", + "right": "issue:10472", + "accept": false, + "reason": "A question about where to get a LoRA identifier in inference is not the same as an unexpected lora_bias keyword error." + }, + { + "left": "issue:11199", + "right": "issue:11218", + "accept": false, + "reason": "Importing onnx_utils and missing CogView4LoraLoaderMixin are separate import failures." + }, + { + "left": "issue:3377", + "right": "issue:3539", + "accept": false, + "reason": "These are different questions about training optimization and distributed training behavior; not a duplicate bug." + }, + { + "left": "issue:5544", + "right": "issue:6517", + "accept": false, + "reason": "FreeU disable behavior in SDXL is unrelated to the ControlNet SDXL img2img import traceback." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 113, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10144", + "issue:10317", + "issue:11014", + "issue:11298", + "issue:11351", + "issue:2052", + "issue:2089", + "issue:255", + "issue:2844", + "issue:3222", + "issue:3382", + "issue:3461", + "issue:3584", + "issue:3694", + "issue:3884", + "issue:3885", + "issue:4241", + "issue:4256", + "issue:4306", + "issue:4402", + "issue:4450", + "issue:4638", + "issue:4639", + "issue:4885", + "issue:5544", + "issue:5603", + "issue:6107", + "issue:6112", + "issue:6154", + "issue:6157", + "issue:6176", + "issue:6524", + "issue:6610", + "issue:7049", + "issue:7431", + "issue:7568", + "issue:7619", + "issue:8485", + "issue:8645", + "issue:8649", + "issue:8879", + "issue:8885", + "issue:9141", + "issue:9237", + "issue:9320", + "issue:9410", + "issue:9556", + "issue:9856" + ], + "soft_pairs": [ + "issue:6157|issue:6524", + "issue:8645|issue:9141", + "issue:11298|issue:8649", + "issue:2052|issue:4450", + "issue:3884|issue:4639", + "issue:10317|issue:8879", + "issue:3694|issue:8885", + "issue:3382|issue:3885", + "issue:255|issue:2844", + "issue:6154|issue:9856", + "issue:4638|issue:4885", + "issue:9320|issue:9556", + "issue:4306|issue:5544", + "issue:10144|issue:11351", + "issue:4241|issue:8485", + "issue:4256|issue:7619", + "issue:5603|issue:9410", + "issue:6112|issue:7568", + "issue:4402|issue:6610", + "issue:3461|issue:3584", + "issue:3222|issue:6176", + "issue:6107|issue:7049", + "issue:11014|issue:2089", + "issue:7431|issue:9237" + ], + "prepared_review_unit_hash": "e2e285b85dc49693274d392bdbeeadfe428ca6ca39c5307d37582a625980947d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34338, + "estimated_input_tokens": 8585, + "estimated_eval_tokens": 17426 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a duplicate cluster: the issues cover many unrelated bugs, features, and pipelines. All soft-edge pairs should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No safe canonical issue exists because the items span unrelated topics (LoRA loading, SDXL training, torch.compile, controlnet, single-file loading, etc.).", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is globally representative of the set; there is no common underlying bug or change to canonicalize.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6157", + "right": "issue:6524", + "accept": false, + "reason": "Both mention LoRA loading, but one is about IP-Adapter/ControlNet behavior and the other about reloading LoRA a second time; different failure modes." + }, + { + "left": "issue:8645", + "right": "issue:9141", + "accept": false, + "reason": "One requests a missing helper for ControlNet conversion from single-file, the other reports FluxPipeline missing from_single_file(); different APIs and problems." + }, + { + "left": "issue:11298", + "right": "issue:8649", + "accept": false, + "reason": "LoRA key errors during hotswapping multiple LoRAs are unrelated to SD3 num_images_per_prompt being ignored/errored." + }, + { + "left": "issue:2052", + "right": "issue:4450", + "accept": false, + "reason": "Textual Inversion checkpoint resume and multi-text-inversion example failure are distinct training-script issues." + }, + { + "left": "issue:3884", + "right": "issue:4639", + "accept": false, + "reason": "train_text_to_image_lora.py error and instruct_pix2pix_sdxl dataloader multiprocessing error are different scripts and bugs." + }, + { + "left": "issue:10317", + "right": "issue:8879", + "accept": false, + "reason": "torch.compile on StableVideoDiffusionPipeline with second image input is unrelated to StableDiffusionXL torch.compile+cudagraph failure." + }, + { + "left": "issue:3694", + "right": "issue:8885", + "accept": false, + "reason": "Pokemon text-to-image path/config loading problem is unrelated to custom diffusion install/modifier-token issues." + }, + { + "left": "issue:3382", + "right": "issue:3885", + "accept": false, + "reason": "Both discuss VRAM, but one is a multi-GPU OOM bug in training and the other asks for ways to reduce memory usage; not the same concrete defect." + }, + { + "left": "issue:255", + "right": "issue:2844", + "accept": false, + "reason": "StableDiffusionPipeline size-divisibility error is unrelated to StableUnCLIP image-embedding input handling." + }, + { + "left": "issue:6154", + "right": "issue:9856", + "accept": false, + "reason": "SDXL LoRA training on M2 Mac and a distributed port collision are unrelated environment/runtime issues." + }, + { + "left": "issue:4638", + "right": "issue:4885", + "accept": false, + "reason": "SDXL textual inversion loading failure and SDXL ControlNet img2img LoRA loading failure affect different code paths." + }, + { + "left": "issue:9320", + "right": "issue:9556", + "accept": false, + "reason": "Custom diffusion model save/load problems and rslora saved-model problems are both LoRA-related but not the same implementation or error." + }, + { + "left": "issue:4306", + "right": "issue:5544", + "accept": false, + "reason": "Reference pipeline list-index error and FreeU disable-on-not-enabled error are separate pipeline behaviors." + }, + { + "left": "issue:10144", + "right": "issue:11351", + "accept": false, + "reason": "Mochi video output quality complaint and Wan i2v processor dtype question are different models and issues." + }, + { + "left": "issue:4241", + "right": "issue:8485", + "accept": false, + "reason": "Support request for unidiffusers LoRA fine-tuning is not the same as a feature request for SD3 LoRA support." + }, + { + "left": "issue:4256", + "right": "issue:7619", + "accept": false, + "reason": "SDXL DreamBooth training error and DreamBooth number-of-channels error are related only by broad training scope; the concrete bugs differ." + }, + { + "left": "issue:5603", + "right": "issue:9410", + "accept": false, + "reason": "ImportError for is_safetensors_available and inability to import StableDiffusion3ControlNetInpaintingPipeline are different API/export breakages." + }, + { + "left": "issue:6112", + "right": "issue:7568", + "accept": false, + "reason": "SDXL-turbo noisy output and SDXL prompt-tokens interpolation question are unrelated." + }, + { + "left": "issue:4402", + "right": "issue:6610", + "accept": false, + "reason": "SDXL inpaint from_single_file usage error and num_in_channels ignored in the same API are different from_single_file problems." + }, + { + "left": "issue:3461", + "right": "issue:3584", + "accept": false, + "reason": "DreamBooth performance/memory comparison versus a tutorial failure are not the same bug or change." + }, + { + "left": "issue:3222", + "right": "issue:6176", + "accept": false, + "reason": "Missing custom diffusion weight file after training and LoRA load-after-training error are distinct save/load issues." + }, + { + "left": "issue:6107", + "right": "issue:7049", + "accept": false, + "reason": "IP-Adapter on AWS EC2 environment issue and IP adapter basic example unpacking error are different failure modes." + }, + { + "left": "issue:11014", + "right": "issue:2089", + "accept": false, + "reason": "General CUDA OOM on Colab A100 is not the same as DreamBooth AltDiffusion training OOM." + }, + { + "left": "issue:7431", + "right": "issue:9237", + "accept": false, + "reason": "DreamBooth with DoRA text encoder issues and Flux dreambooth LoRA training issues are separate model/training setups." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 114, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10302", + "issue:10608", + "issue:10795", + "issue:10972", + "issue:1100", + "issue:11133", + "issue:11247", + "issue:11642", + "issue:11702", + "issue:11989", + "issue:13281", + "issue:13488", + "issue:1363", + "issue:1614", + "issue:1709", + "issue:2359", + "issue:2495", + "issue:2603", + "issue:3097", + "issue:3631", + "issue:3764", + "issue:4241", + "issue:4788", + "issue:5254", + "issue:5540", + "issue:5670", + "issue:6096", + "issue:6283", + "issue:7159", + "issue:7168", + "issue:7221", + "issue:7441", + "issue:7480", + "issue:7616", + "issue:7682", + "issue:8511", + "issue:8556", + "issue:8644", + "issue:8673", + "issue:8708", + "issue:8828", + "issue:9187", + "issue:9514", + "issue:962", + "issue:9637", + "issue:9667", + "issue:9861", + "issue:9895" + ], + "soft_pairs": [ + "issue:11247|issue:7682", + "issue:8556|issue:8644", + "issue:10795|issue:7159", + "issue:5254|issue:962", + "issue:10972|issue:11702", + "issue:4788|issue:5540", + "issue:8673|issue:8708", + "issue:2603|issue:5670", + "issue:1100|issue:1709", + "issue:10302|issue:9895", + "issue:1614|issue:2495", + "issue:2359|issue:4241", + "issue:11133|issue:9637", + "issue:10608|issue:7441", + "issue:1363|issue:3631", + "issue:7221|issue:7616", + "issue:8511|issue:8828", + "issue:9187|issue:9861", + "issue:9514|issue:9667", + "issue:11642|issue:11989", + "issue:13281|issue:13488", + "issue:3764|issue:6096", + "issue:3097|issue:7480", + "issue:6283|issue:7168" + ], + "prepared_review_unit_hash": "d82fc07aafc5f9d6a2e0bc514384f14cc42425d7f5d66fdc909efed0f9dd8613", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34166, + "estimated_input_tokens": 8542, + "estimated_eval_tokens": 17340 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes offloading/device-mismatch regressions, LoRA loading failures, torch.compile issues, image-quality artifacts, and pipeline-specific bugs. None of the soft-similarity pairs look like the same underlying defect, so I would not merge any of them as duplicates.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:13488 is the best representative of the offloading/device-mismatch subset: it is broad, explicit about the regression, and the closest anchor for the few related offloading reports in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11247", + "right": "issue:7682", + "accept": false, + "reason": "Both mention multi-GPU distribution, but one is Flux+ControlNet device placement and the other is SD1.5 on weaker GPUs; different models, symptoms, and failure modes." + }, + { + "left": "issue:8556", + "right": "issue:8644", + "accept": false, + "reason": "Both involve meta tensor/offload errors in SD3 loading, but one is from_single_file and the other is separately loading the T5 encoder with sequential/model CPU offload; related area, not the same bug." + }, + { + "left": "issue:10795", + "right": "issue:7159", + "accept": false, + "reason": "Both mention torch.compile and models, but GGUF via from_single_file is a loader/quantization path while fused LoRA compile failure is a different code path." + }, + { + "left": "issue:5254", + "right": "issue:962", + "accept": false, + "reason": "Both are about inpaint pipelines, but one is multi-ControlNet support and the other is old size constraints in new inpaint pipelines; different feature requests/bugs." + }, + { + "left": "issue:10972", + "right": "issue:11702", + "accept": false, + "reason": "Both are LoRA-loading issues, but OneTrainer Flux LoRAs failing and AccVid LoRA key errors are different formats and different failure points." + }, + { + "left": "issue:4788", + "right": "issue:5540", + "accept": false, + "reason": "Both are memory-related, but one is SD XL inpaint on 6 GB VRAM and the other is generic inference OOM; too broad to treat as the same defect." + }, + { + "left": "issue:8673", + "right": "issue:8708", + "accept": false, + "reason": "One is missing SD3 attention masks; the other is a missing vae.config.shift_factor in training examples. Different subsystems and symptoms." + }, + { + "left": "issue:2603", + "right": "issue:5670", + "accept": false, + "reason": "Both concern non-square image generation, but they are different pipelines (Attend-And-Excite vs PixArtAlpha) and likely separate shape-handling bugs." + }, + { + "left": "issue:1100", + "right": "issue:1709", + "accept": false, + "reason": "The CLIPTextTransformer.device attribute issue is unrelated to the ONNX tensor.astype AttributeError; they are different backend/runtime errors." + }, + { + "left": "issue:10302", + "right": "issue:9895", + "accept": false, + "reason": "Both mention fp8/offloading noise or device issues, but one is inference noise without CPU offloading and the other is a device-mismatch regression after a specific commit; not the same concrete bug." + }, + { + "left": "issue:1614", + "right": "issue:2495", + "accept": false, + "reason": "Both produce black images, but one is SD 2.1 with autocast and the other is MPS upscale pipeline output; same symptom, different environment and likely different root cause." + }, + { + "left": "issue:2359", + "right": "issue:4241", + "accept": false, + "reason": "Latent output_type support in StableDiffusionImg2ImgPipeline is unrelated to fine-tuning unidiffusers with LoRA." + }, + { + "left": "issue:11133", + "right": "issue:9637", + "accept": false, + "reason": "Both are bugs, but cogvideox image-to-video pipeline and XFormers attention-mask/bfloat issues are unrelated code paths." + }, + { + "left": "issue:10608", + "right": "issue:7441", + "accept": false, + "reason": "Multi-GPU pipeline failure is unrelated to pytest not running on Python 3.12; no shared underlying bug." + }, + { + "left": "issue:1363", + "right": "issue:3631", + "accept": false, + "reason": "ONNX LMS scheduler error and inpainting latents exception are different pipeline/runtime failures." + }, + { + "left": "issue:7221", + "right": "issue:7616", + "accept": false, + "reason": "Both describe image artifacts/noise in Playground 2.5, but one is full noise with an FP16 model and the other is low-denoise img2img artifacts; not enough to merge." + }, + { + "left": "issue:8511", + "right": "issue:8828", + "accept": false, + "reason": "Both are SD3 training problems, but one is text-encoder unloading in Dreambooth/LoRA scripts and the other is a generic 16GB training error; too broad." + }, + { + "left": "issue:9187", + "right": "issue:9861", + "accept": false, + "reason": "IP-Adapter image encoder loading after Kolors update is unrelated to Flux training not updating the transformer model." + }, + { + "left": "issue:9514", + "right": "issue:9667", + "accept": false, + "reason": "Both involve Flux fp8 loading, but one is LoRA loading after fp8 quantization and the other is local transformer_flux.py model loading; different failure points." + }, + { + "left": "issue:11642", + "right": "issue:11989", + "accept": false, + "reason": "A missing prompt_embeds_scale effect in FluxPriorReduxPipeline is a different issue from black inference images in another setup." + }, + { + "left": "issue:13281", + "right": "issue:13488", + "accept": false, + "reason": "Both are offloading/device-mismatch themed, but one is torchao quantized qwen-image with use_stream=True and the other is a broader diffusers offloading regression; related area but not clearly the same concrete bug." + }, + { + "left": "issue:3764", + "right": "issue:6096", + "accept": false, + "reason": "Both mention torch.compile failures, but one is interpreter-shutdown futures scheduling and the other is SVD DynamicOutputShapeException; different failure mechanisms." + }, + { + "left": "issue:3097", + "right": "issue:7480", + "accept": false, + "reason": "Textual inversion doing nothing and DeepFloyd_IF OOM are unrelated issues." + }, + { + "left": "issue:6283", + "right": "issue:7168", + "accept": false, + "reason": "Zero-strength SDXL ControlNet img2img and IP-Adapter image embeddings shape confusion are distinct pipeline bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 115, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10025", + "issue:10712", + "issue:10797", + "issue:11208", + "issue:12535", + "issue:12565", + "issue:1500", + "issue:2161", + "issue:2554", + "issue:2704", + "issue:2780", + "issue:3065", + "issue:3238", + "issue:3468", + "issue:3761", + "issue:3915", + "issue:4094", + "issue:4282", + "issue:4419", + "issue:4468", + "issue:4520", + "issue:4578", + "issue:460", + "issue:5259", + "issue:5399", + "issue:5429", + "issue:5565", + "issue:5873", + "issue:5932", + "issue:6196", + "issue:6250", + "issue:6685", + "issue:6811", + "issue:7009", + "issue:7210", + "issue:7936", + "issue:7982", + "issue:8540", + "issue:861", + "issue:8788", + "issue:8886", + "issue:9023", + "issue:9306", + "issue:9343", + "issue:9497", + "issue:9803", + "issue:9895" + ], + "soft_pairs": [ + "issue:2704|issue:4282", + "issue:2780|issue:3238", + "issue:1500|issue:3761", + "issue:3468|issue:5565", + "issue:10712|issue:7210", + "issue:3065|issue:4094", + "issue:6196|issue:6250", + "issue:10025|issue:8886", + "issue:6811|issue:7009", + "issue:9306|issue:9895", + "issue:2161|issue:5399", + "issue:3915|issue:4520", + "issue:11208|issue:8788", + "issue:2554|issue:460", + "issue:10797|issue:7982", + "issue:5429|issue:8540", + "issue:5873|issue:6685", + "issue:12535|issue:12565", + "issue:9343|issue:9803", + "issue:5932|issue:9497", + "issue:3761|issue:861", + "issue:4419|issue:4578", + "issue:4468|issue:9023", + "issue:5259|issue:7936" + ], + "prepared_review_unit_hash": "c012819e3f73a7c989c11a9213d0ebdd8bb487c068cd97f2a9d026de5502f3c7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33588, + "estimated_input_tokens": 8397, + "estimated_eval_tokens": 17050 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of loosely related but distinct bug/feature reports across different pipelines and model families. I don\u2019t see any pair that is clearly the same underlying change or defect, so the soft edges should all be rejected. The most central issue to use as an anchor is the Flux attention-mask report.", + "confidence": 0.41, + "canonical_issue_reason": "issue:10025 is the most central and well-referenced item here (highest inbound references/discussion), and it\u2019s the broadest Flux attention-mask topic among the set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10025 is the best representative anchor for this noisy cluster because it is the most visible, broadly scoped Flux-related issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2704", + "right": "issue:4282", + "accept": false, + "reason": "Both mention Multi-ControlNet, but one is about batch processing and the other is a feature request to add the pipeline; different changes." + }, + { + "left": "issue:2780", + "right": "issue:3238", + "accept": false, + "reason": "LoRA FP16 gradient scaling during training is unrelated to converting LoRA safetensors to diffusers format." + }, + { + "left": "issue:1500", + "right": "issue:3761", + "accept": false, + "reason": "Both are community-pipeline related, but one is a compatibility break for a specific pipeline and the other is about loading multiple pipelines in one process." + }, + { + "left": "issue:3468", + "right": "issue:5565", + "accept": false, + "reason": "DreamBooth model_index.json generation is a different failure from not being able to run an SDXL LoRA DreamBooth script." + }, + { + "left": "issue:10712", + "right": "issue:7210", + "accept": false, + "reason": "Prompt-embed RuntimeError in SD3 is not the same as the accelerate named_parameters dispatch issue in SDXL." + }, + { + "left": "issue:3065", + "right": "issue:4094", + "accept": false, + "reason": "These are separate feature requests: tuning DreamBooth text encoder with LoRA versus adding a T2I adapter training script." + }, + { + "left": "issue:6196", + "right": "issue:6250", + "accept": false, + "reason": "ControlNetXS loading failure and SDXL VAE single-file KeyError are different model-loading problems." + }, + { + "left": "issue:10025", + "right": "issue:8886", + "accept": false, + "reason": "Both involve attention masks, but they affect different models and pipelines; not enough evidence of the same code-path bug." + }, + { + "left": "issue:6811", + "right": "issue:7009", + "accept": false, + "reason": "One is a missing model_index.json URL for i2vgen-xl, the other is poor results when loading a text-to-video model." + }, + { + "left": "issue:9306", + "right": "issue:9895", + "accept": false, + "reason": "Both are device-placement problems in different Flux/CogVideoX flows, but the concrete failure modes and code paths differ." + }, + { + "left": "issue:2161", + "right": "issue:5399", + "accept": false, + "reason": "Training LoRA on an inpainting model and a dtype mismatch during inpainting inference are distinct issues." + }, + { + "left": "issue:3915", + "right": "issue:4520", + "accept": false, + "reason": "torch.compile behavior for text-to-video pipelines is unrelated to LoRA scale not working with attention slicing." + }, + { + "left": "issue:11208", + "right": "issue:8788", + "accept": false, + "reason": "Both are SD3-related, but one is MultiControlNet support and the other is VAE tiling on non-power-of-two images." + }, + { + "left": "issue:2554", + "right": "issue:460", + "accept": false, + "reason": "An accelerate version requirement issue is unrelated to ONNX runtime selection for Stable Diffusion." + }, + { + "left": "issue:10797", + "right": "issue:7982", + "accept": false, + "reason": "Group offloading with HunyuanVideoPipeline and from_pipe with MultiControlNetModel are different pipeline-component failures." + }, + { + "left": "issue:5429", + "right": "issue:8540", + "accept": false, + "reason": "One is about supporting models without a VAE in examples, the other is about caching embeddings/VAE representations in SD3 DreamBooth training." + }, + { + "left": "issue:5873", + "right": "issue:6685", + "accept": false, + "reason": "ONNX export support for scaled_dot_product_attention has nothing in common with absolute-path handling in output_dir." + }, + { + "left": "issue:12535", + "right": "issue:12565", + "accept": false, + "reason": "Both are Wan i2v issues, but they target different model versions and different failures." + }, + { + "left": "issue:9343", + "right": "issue:9803", + "accept": false, + "reason": "Both are Flux loading failures, but one is about low_cpu_mem_usage/ignore_mismatched_sizes and the other is LoRA loading." + }, + { + "left": "issue:5932", + "right": "issue:9497", + "accept": false, + "reason": "A channel-mismatch error in SD inference is unrelated to a matrix-shape error in Flux DreamBooth training." + }, + { + "left": "issue:3761", + "right": "issue:861", + "accept": false, + "reason": "Loading multiple community pipelines and converting a ckpt model to diffusers are unrelated problems." + }, + { + "left": "issue:4419", + "right": "issue:4578", + "accept": false, + "reason": "SDXL offset-noise inference behavior is unrelated to a documentation issue about VAE usage." + }, + { + "left": "issue:4468", + "right": "issue:9023", + "accept": false, + "reason": "Multi-GPU performance differences and a generic sample-code failure are not the same bug." + }, + { + "left": "issue:5259", + "right": "issue:7936", + "accept": false, + "reason": "Missing model_index.json and invalid JSON from a local safetensors file are different file-loading errors." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 116, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10165", + "issue:10674", + "issue:10855", + "issue:10952", + "issue:10969", + "issue:11247", + "issue:11298", + "issue:11370", + "issue:1251", + "issue:1539", + "issue:1614", + "issue:2412", + "issue:2459", + "issue:2674", + "issue:307", + "issue:3431", + "issue:3487", + "issue:3566", + "issue:4080", + "issue:4256", + "issue:4306", + "issue:4324", + "issue:4398", + "issue:4436", + "issue:4488", + "issue:4806", + "issue:5502", + "issue:5607", + "issue:5621", + "issue:5689", + "issue:5886", + "issue:6008", + "issue:6107", + "issue:6382", + "issue:6482", + "issue:6520", + "issue:6914", + "issue:7310", + "issue:7782", + "issue:8405", + "issue:8440", + "issue:8507", + "issue:8626", + "issue:8667", + "issue:9187", + "issue:9362", + "issue:9546" + ], + "soft_pairs": [ + "issue:6382|issue:8626", + "issue:1539|issue:4806", + "issue:3487|issue:3566", + "issue:4324|issue:5502", + "issue:5886|issue:6914", + "issue:2459|issue:2674", + "issue:2412|issue:4256", + "issue:6482|issue:8507", + "issue:5607|issue:9362", + "issue:10855|issue:8440", + "issue:10969|issue:9546", + "issue:4436|issue:7782", + "issue:10674|issue:9187", + "issue:4398|issue:5689", + "issue:10165|issue:10952", + "issue:6520|issue:7310", + "issue:8405|issue:8667", + "issue:3431|issue:3487", + "issue:6008|issue:6107", + "issue:11247|issue:11298", + "issue:10674|issue:11370", + "issue:1251|issue:1614", + "issue:307|issue:4080", + "issue:4306|issue:6382", + "issue:4488|issue:5621" + ], + "prepared_review_unit_hash": "b02906b437950762c3a65782bc040bbaea8a5a66d48c6d3a64256cb213fdbbd8", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34016, + "estimated_input_tokens": 8504, + "estimated_eval_tokens": 17264 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a heterogeneous collection of unrelated issues; the soft pairs are superficial title matches rather than duplicate bug reports. No soft edge looks safe to merge, and there is no true canonical issue for the whole set.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue: the items span unrelated areas (LoRA, IP-Adapter, ControlNet, training scripts, conversion utilities, Flux/GGUF), so none safely subsumes the rest.", + "canonical_pr_reason": null, + "best_issue_reason": "If forced to pick one representative issue, #11298 is the strongest anchor because it is open, concrete, and has active discussion/inbound interest around a specific LoRA/PEFT hotswap failure.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6382", + "right": "issue:8626", + "accept": false, + "reason": "Both are IP-Adapter-related, but one is a key error during SDXL/LCM training+use and the other is guidance for multiple images/masks; different problem and scope." + }, + { + "left": "issue:1539", + "right": "issue:4806", + "accept": false, + "reason": "One is a conversion-script type bug, the other is a UNet2DModel parameter-type issue; they do not describe the same failure path." + }, + { + "left": "issue:3487", + "right": "issue:3566", + "accept": false, + "reason": "Both mention poor/unexpected results in inpainting/controlnet contexts, but the pipelines and symptoms differ and do not point to one concrete defect." + }, + { + "left": "issue:4324", + "right": "issue:5502", + "accept": false, + "reason": "A NoneType iteration crash in UNet forward is unrelated to fp16 support in train_custom_diffusion.py." + }, + { + "left": "issue:5886", + "right": "issue:6914", + "accept": false, + "reason": "Support request for IP-Adapter face model vs a cpu_offload AttributeError in FaceID; same family, different bug." + }, + { + "left": "issue:2459", + "right": "issue:2674", + "accept": false, + "reason": "xformers attention not working in one training script is separate from LoRA loading without safetensors being listed in requirements." + }, + { + "left": "issue:2412", + "right": "issue:4256", + "accept": false, + "reason": "Generic dreambooth error and SDXL Dreambooth training error are not enough to conclude the same underlying code-path bug." + }, + { + "left": "issue:6482", + "right": "issue:8507", + "accept": false, + "reason": "Resume-from-checkpoint FP16 unscale failure and SD3 text-encoder training failure are distinct training bugs." + }, + { + "left": "issue:5607", + "right": "issue:9362", + "accept": false, + "reason": "Tensor-size mismatch and out-of-bounds index errors are different runtime failures with no clear shared code-path." + }, + { + "left": "issue:10855", + "right": "issue:8440", + "accept": false, + "reason": "Gradient accumulation causing optimizer.step() every step is unrelated to FromOriginalModelMixin subclass ValueError." + }, + { + "left": "issue:10969", + "right": "issue:9546", + "accept": false, + "reason": "Zero3 training weight-shape failure and validation OOM in Flux ControlNet training are different failure modes." + }, + { + "left": "issue:4436", + "right": "issue:7782", + "accept": false, + "reason": "Both are conversion/loading issues, but one concerns CIVITAI safetensors with VAE and the other an invalid load key for a safetensors file; not the same bug." + }, + { + "left": "issue:10674", + "right": "issue:9187", + "accept": false, + "reason": "GGUF incompatibility with FluxPipeline and SDXL IP-Adapter breakage after Kolors update are separate integration problems." + }, + { + "left": "issue:4398", + "right": "issue:5689", + "accept": false, + "reason": "Black-image output in an SDXL LoRA-dreambooth pipeline is different from residual noise with DPM++." + }, + { + "left": "issue:10165", + "right": "issue:10952", + "accept": false, + "reason": "Seed preservation when changing LoRA scale and adapter-name lookup failure in SDXLLongPromptWeightingPipeline are unrelated LoRA issues." + }, + { + "left": "issue:6520", + "right": "issue:7310", + "accept": false, + "reason": "Blank validation output in adapter training and default-failure in SDXL text-to-image LoRA training are not the same defect." + }, + { + "left": "issue:8405", + "right": "issue:8667", + "accept": false, + "reason": "Multiple-controlnet tensor size error and SD3ControlNetModel mismatch on non-power-of-two images are distinct shape bugs." + }, + { + "left": "issue:3431", + "right": "issue:3487", + "accept": false, + "reason": "Both concern poor inpainting results, but one is ControlNet canny/hed quality and the other is EulerAncestralDiscreteScheduler behavior; too broad to merge." + }, + { + "left": "issue:6008", + "right": "issue:6107", + "accept": false, + "reason": "IP-Adapter Plus Face failing with LCM LoRA is not the same as an app working in Colab but not on AWS EC2." + }, + { + "left": "issue:11247", + "right": "issue:11298", + "accept": false, + "reason": "ControlNet multi-GPU distribution error for FluxTransformer2DModel and LoRA hotswapping PEFT key error are different code paths." + }, + { + "left": "issue:10674", + "right": "issue:11370", + "accept": false, + "reason": "FluxPipeline GGUF incompatibility and Hunyuan video conversion pickle/load-key failure are unrelated." + }, + { + "left": "issue:1251", + "right": "issue:1614", + "accept": false, + "reason": "Black image on MPS in RePaintPipeline and black images with autocast in SD2.1 are both black-output symptoms but not the same bug." + }, + { + "left": "issue:307", + "right": "issue:4080", + "accept": false, + "reason": "A broad refactor request to merge pipelines is not the same as adding an SDXL inpainting pipeline." + }, + { + "left": "issue:4306", + "right": "issue:6382", + "accept": false, + "reason": "StableDiffusionReferencePipeline list-index error and IP-Adapter key error after training do not share the same underlying failure." + }, + { + "left": "issue:4488", + "right": "issue:5621", + "accept": false, + "reason": "SDXL checkpoint conversion requiring pipeline_class and SDXL ControlNet encoder_hid_proj support are separate issues in different parts of the stack." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 117, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11199", + "issue:1125", + "issue:11343", + "issue:12052", + "issue:1524", + "issue:1536", + "issue:1616", + "issue:1925", + "issue:2156", + "issue:2324", + "issue:2609", + "issue:3045", + "issue:3154", + "issue:3223", + "issue:3346", + "issue:3540", + "issue:3613", + "issue:4109", + "issue:4185", + "issue:4389", + "issue:4460", + "issue:4504", + "issue:4641", + "issue:4667", + "issue:4697", + "issue:5152", + "issue:5524", + "issue:5630", + "issue:5703", + "issue:5886", + "issue:5889", + "issue:5997", + "issue:6196", + "issue:6460", + "issue:7053", + "issue:7421", + "issue:7483", + "issue:761", + "issue:8440", + "issue:8469", + "issue:8546", + "issue:8579", + "issue:8873", + "issue:8885", + "issue:9187", + "issue:9421", + "issue:9515", + "issue:9895" + ], + "soft_pairs": [ + "issue:4504|issue:4641", + "issue:5152|issue:5524", + "issue:5886|issue:8469", + "issue:5889|issue:6460", + "issue:8440|issue:8873", + "issue:4185|issue:5997", + "issue:3045|issue:7483", + "issue:12052|issue:9895", + "issue:4109|issue:7421", + "issue:8546|issue:8579", + "issue:11199|issue:11343", + "issue:2609|issue:4460", + "issue:3154|issue:3223", + "issue:3540|issue:4667", + "issue:2156|issue:3613", + "issue:1125|issue:1925", + "issue:5630|issue:5703", + "issue:7053|issue:9515", + "issue:1524|issue:3346", + "issue:1536|issue:1616", + "issue:2324|issue:761", + "issue:8885|issue:9421", + "issue:4389|issue:6196", + "issue:4697|issue:9187" + ], + "prepared_review_unit_hash": "8c3d067a7420f89edf316d2ccf01ffaabbfbdc7e95aecb1d442c382a765eed8d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33806, + "estimated_input_tokens": 8452, + "estimated_eval_tokens": 17160 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated issues that only share broad lexical similarity (import/loading/offloading/Lora/ControlNet). Only the LPW pipeline compatibility pair looks like a likely true duplicate; the rest should stay separate.", + "confidence": 0.94, + "canonical_issue_reason": "Issue 1536 is the best representative of the only clear duplicate-like subthread: LPW pipeline compatibility with newer Diffusers versions.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1536 has the strongest duplicate signal and is the most general statement of the LPW compatibility regression shared with 1616.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4504", + "right": "issue:4641", + "accept": false, + "reason": "Both are LoRA-loading related, but one is a specific local-variable crash and the other is a broader local-file loading failure; not the same bug." + }, + { + "left": "issue:5152", + "right": "issue:5524", + "accept": false, + "reason": "Same model family (W\u00fcrstchen) but different problems: a general alpha bug versus a specific lora_layer attribute error while loading." + }, + { + "left": "issue:5886", + "right": "issue:8469", + "accept": false, + "reason": "One is a feature request for face support in IP-Adapter; the other is a broken-face output bug on a specific SD15 face model." + }, + { + "left": "issue:5889", + "right": "issue:6460", + "accept": false, + "reason": "Different pipelines and symptoms: Stable Video Diffusion request vs endless loading for stable-diffusion-inpainting." + }, + { + "left": "issue:8440", + "right": "issue:8873", + "accept": false, + "reason": "Unrelated issues: a FromOriginalModelMixin subclass ValueError versus xformers being slower on A100." + }, + { + "left": "issue:4185", + "right": "issue:5997", + "accept": false, + "reason": "Both mention SDXL ControlNet, but one is black images at inference while the other is a tutorial/model-type mismatch during loading." + }, + { + "left": "issue:3045", + "right": "issue:7483", + "accept": false, + "reason": "Both concern LoRA conversion, but 7483 is a specific SDXL-base-model failure and 3045 is a generic conversion request." + }, + { + "left": "issue:12052", + "right": "issue:9895", + "accept": false, + "reason": "Both are device-mismatch/offloading symptoms, but they affect different pipelines and likely different code paths." + }, + { + "left": "issue:4109", + "right": "issue:7421", + "accept": false, + "reason": "Different failures in different pipelines: SDXL inpaint not working vs seed handling in StableDiffusionXLKDiffusionPipeline." + }, + { + "left": "issue:8546", + "right": "issue:8579", + "accept": false, + "reason": "Both are SD3-related, but one is missing from-single-file support and the other is nonfunctional LoRA support." + }, + { + "left": "issue:11199", + "right": "issue:11343", + "accept": false, + "reason": "Both are import errors, but 11199 is a specific onnx_utils import failure while 11343 is a broad post-transformers import regression." + }, + { + "left": "issue:2609", + "right": "issue:4460", + "accept": false, + "reason": "Different topics: a Canny ControlNet checkpoint request versus output differences between Stable Diffusion and diffusers." + }, + { + "left": "issue:3154", + "right": "issue:3223", + "accept": false, + "reason": "Both involve memory, but one is failure to offload to disk and the other is RAM not being cleared after moving to CUDA." + }, + { + "left": "issue:3540", + "right": "issue:4667", + "accept": false, + "reason": "Different pipelines and errors: prompt embeds handling in TextToVideoZeroPipeline versus from_single_file failing in StableDiffusionPipeline." + }, + { + "left": "issue:2156", + "right": "issue:3613", + "accept": false, + "reason": "Opposite DreamBooth resource problems: CPU-only training versus out-of-GPU-memory with torch 2.0." + }, + { + "left": "issue:1125", + "right": "issue:1925", + "accept": false, + "reason": "Both are inpainting-related, but one is a runtime error and the other is half-precision not working; no clear same bug." + }, + { + "left": "issue:5630", + "right": "issue:5703", + "accept": false, + "reason": "Both mention schedulers/noise, but the tasks differ: leftover noise in SDXL Img2Img vs ddim_inverse noise reconstruction." + }, + { + "left": "issue:7053", + "right": "issue:9515", + "accept": false, + "reason": "Different model internals: missing class conditioning in UNet3DConditionModel versus missing RMSNorm in SD3 attention." + }, + { + "left": "issue:1524", + "right": "issue:3346", + "accept": false, + "reason": "Unrelated DreamBooth/textual inversion issues: poor SD2.0 training quality versus resume_from_checkpoint support." + }, + { + "left": "issue:1536", + "right": "issue:1616", + "accept": true, + "reason": "Both describe the same LPW pipeline compatibility break with newer Diffusers releases, just from different entry points." + }, + { + "left": "issue:2324", + "right": "issue:761", + "accept": false, + "reason": "Different DreamBooth training bugs: instance data not being read versus failure with 8-bit Adam." + }, + { + "left": "issue:8885", + "right": "issue:9421", + "accept": false, + "reason": "Different issues entirely: clip-retrieval/custom diffusion example setup versus access to runwayml/stable-diffusion-inpainting." + }, + { + "left": "issue:4389", + "right": "issue:6196", + "accept": false, + "reason": "Both are loading errors, but they target different model classes (ControlNetModel vs ControlNetXS Depth SDXL) and likely different causes." + }, + { + "left": "issue:4697", + "right": "issue:9187", + "accept": false, + "reason": "Different LoRA/IP-Adapter regressions in different releases and contexts; not the same concrete bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and stays conservative on the soft-edge pairs. The LPW pair (1536/1616) is the only one that plausibly reflects the same compatibility regression, and the other rejected pairs are appropriately treated as separate issues based on their titles and problem descriptions. No overstatement or mergeability issue is apparent." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 118, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10392", + "issue:10421", + "issue:10653", + "issue:11135", + "issue:11148", + "issue:11182", + "issue:11418", + "issue:11702", + "issue:12011", + "issue:12012", + "issue:12052", + "issue:12499", + "issue:12529", + "issue:12657", + "issue:13001", + "issue:13140", + "issue:1363", + "issue:1717", + "issue:2185", + "issue:2534", + "issue:2659", + "issue:2830", + "issue:3296", + "issue:3454", + "issue:3651", + "issue:3706", + "issue:3826", + "issue:3871", + "issue:4194", + "issue:4303", + "issue:4306", + "issue:4340", + "issue:4664", + "issue:4779", + "issue:4852", + "issue:5016", + "issue:5150", + "issue:5153", + "issue:5442", + "issue:6460", + "issue:6821", + "issue:6949", + "issue:7133", + "issue:7333", + "issue:7431", + "issue:7793", + "issue:7851", + "issue:9527" + ], + "soft_pairs": [ + "issue:1717|issue:4303", + "issue:4340|issue:5016", + "issue:4852|issue:7793", + "issue:3296|issue:4664", + "issue:4306|issue:7851", + "issue:11702|issue:13001", + "issue:10421|issue:10653", + "issue:10392|issue:11418", + "issue:12657|issue:13140", + "issue:3454|issue:3651", + "issue:11182|issue:9527", + "issue:5153|issue:5442", + "issue:2185|issue:3871", + "issue:7133|issue:7431", + "issue:11135|issue:3826", + "issue:2659|issue:6949", + "issue:12499|issue:12529", + "issue:3871|issue:6821", + "issue:12011|issue:12052", + "issue:4194|issue:5150", + "issue:2830|issue:7333", + "issue:3706|issue:6460", + "issue:4779|issue:7333", + "issue:11148|issue:12012", + "issue:1363|issue:2534" + ], + "prepared_review_unit_hash": "481eb83ebee15200fabc9d5426f75f0836d1770b96e732acda478cba7ef50da2", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34248, + "estimated_input_tokens": 8562, + "estimated_eval_tokens": 17380 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the proposed soft edges mostly connect unrelated issues that merely share broad keywords like \"LoRA\", \"Wan 2.2\", or \"pipeline\". I do not see a true duplicate cluster here.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1717", + "right": "issue:4303", + "accept": false, + "reason": "Offline cached-model loading and a Flax SDXL load crash are different failure modes in different code paths." + }, + { + "left": "issue:4340", + "right": "issue:5016", + "accept": false, + "reason": "Both mention SDXL LoRA/text encoder, but one is a training error and the other is a loading/adapter-state bug." + }, + { + "left": "issue:4852", + "right": "issue:7793", + "accept": false, + "reason": "Generic LoRA loading error vs DeepFloyd LoRA unload error; different models and operations." + }, + { + "left": "issue:3296", + "right": "issue:4664", + "accept": false, + "reason": "Checkpoint save/load with text_encoder is unrelated to SDXL LoRA loading on a differently named pipeline." + }, + { + "left": "issue:4306", + "right": "issue:7851", + "accept": false, + "reason": "List-index error in a reference pipeline is not the same as an out-of-bounds error on concurrent calls." + }, + { + "left": "issue:11702", + "right": "issue:13001", + "accept": false, + "reason": "AccVid LoRA key mismatch and Flux GGUF shape mismatch are different models and different data-loading bugs." + }, + { + "left": "issue:10421", + "right": "issue:10653", + "accept": false, + "reason": "A CPU memory leak when moving pipelines to multiple GPUs is distinct from an unsupported bitsandbytes .to(cpu) path." + }, + { + "left": "issue:10392", + "right": "issue:11418", + "accept": false, + "reason": "One is a Flux-dev-fp8 compatibility issue, the other is a request to add a specific fp8 safetensors file." + }, + { + "left": "issue:12657", + "right": "issue:13140", + "accept": false, + "reason": "Quantized Qwen Image Edit regression and a NoneType TypeError in Qwen Edit Plus are different bugs." + }, + { + "left": "issue:3454", + "right": "issue:3651", + "accept": false, + "reason": "Both are dreambooth-related, but one is a latest-version script failure and the other is a multi-GPU training problem." + }, + { + "left": "issue:11182", + "right": "issue:9527", + "accept": false, + "reason": "Unnecessary BF16 download and controlnet/mainpipe dtype mismatch are separate loading vs execution issues." + }, + { + "left": "issue:5153", + "right": "issue:5442", + "accept": false, + "reason": "FreeU is a technique proposal; ScaleCrafter is a different pipeline proposal with no shared bug/change." + }, + { + "left": "issue:2185", + "right": "issue:3871", + "accept": false, + "reason": "Missing config files for training and checkpoint-resume errors are unrelated training setup problems." + }, + { + "left": "issue:7133", + "right": "issue:7431", + "accept": false, + "reason": "Both involve Dreambooth LoRA, but one is resume size mismatch in text encoders and the other is DoRA training with text encoder." + }, + { + "left": "issue:11135", + "right": "issue:3826", + "accept": false, + "reason": "Two different new pipeline proposals; same general area, but not the same underlying change." + }, + { + "left": "issue:2659", + "right": "issue:6949", + "accept": false, + "reason": "Batch-size-dependent image variation is not the same bug as even-step blank images from a scheduler issue." + }, + { + "left": "issue:12499", + "right": "issue:12529", + "accept": false, + "reason": "Both are Wan 2.2 issues, but one is a condition-shape mismatch and the other is a tiled-VAE tensor-size mismatch." + }, + { + "left": "issue:3871", + "right": "issue:6821", + "accept": false, + "reason": "Checkpoint-resume training error and caption_column validation error are unrelated failures." + }, + { + "left": "issue:12011", + "right": "issue:12052", + "accept": false, + "reason": "Same model family, but OOM in i2v and cross-device tensor multiplication under offloading are different root causes." + }, + { + "left": "issue:4194", + "right": "issue:5150", + "accept": false, + "reason": "Both mention from_single_file support, but for different pipelines and different missing functionality." + }, + { + "left": "issue:2830", + "right": "issue:7333", + "accept": false, + "reason": "A usage question about image/text-to-video is not the same as a specific image-to-video generation technique proposal." + }, + { + "left": "issue:3706", + "right": "issue:6460", + "accept": false, + "reason": "A new model announcement and an endless-loading bug on inpainting are unrelated." + }, + { + "left": "issue:4779", + "right": "issue:7333", + "accept": false, + "reason": "A pipeline request and a separate image-to-video research issue are not the same concrete change." + }, + { + "left": "issue:11148", + "right": "issue:12012", + "accept": false, + "reason": "A PEFT adapter state bug and a Wan 2.2 context error are different code paths and symptoms." + }, + { + "left": "issue:1363", + "right": "issue:2534", + "accept": false, + "reason": "Both mention schedulers, but the ONNX long-prompt error and the DPM/UniPC scheduler-switch error are different issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 119, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1013", + "issue:1055", + "issue:11006", + "issue:12012", + "issue:1261", + "issue:1565", + "issue:1643", + "issue:2324", + "issue:2361", + "issue:2465", + "issue:3468", + "issue:3584", + "issue:3970", + "issue:3984", + "issue:4117", + "issue:4134", + "issue:4236", + "issue:4303", + "issue:4634", + "issue:4704", + "issue:4969", + "issue:50", + "issue:5012", + "issue:5150", + "issue:5219", + "issue:5259", + "issue:5395", + "issue:5433", + "issue:5436", + "issue:5458", + "issue:5515", + "issue:5607", + "issue:5628", + "issue:6092", + "issue:6224", + "issue:6297", + "issue:6790", + "issue:6934", + "issue:7223", + "issue:730", + "issue:7333", + "issue:7682", + "issue:785", + "issue:8277", + "issue:8477", + "issue:8939", + "issue:9167", + "issue:9780" + ], + "soft_pairs": [ + "issue:1013|issue:3970", + "issue:2324|issue:2465", + "issue:4236|issue:5433", + "issue:5436|issue:6092", + "issue:11006|issue:12012", + "issue:1565|issue:8939", + "issue:7682|issue:9780", + "issue:8277|issue:8477", + "issue:4634|issue:4704", + "issue:5219|issue:6934", + "issue:5395|issue:5628", + "issue:5012|issue:6297", + "issue:1261|issue:3584", + "issue:2361|issue:6224", + "issue:1055|issue:50", + "issue:1261|issue:4117", + "issue:3468|issue:5259", + "issue:3984|issue:785", + "issue:4134|issue:5607", + "issue:4303|issue:8939", + "issue:4969|issue:9167", + "issue:5150|issue:5458", + "issue:5515|issue:6790", + "issue:7223|issue:7333", + "issue:1643|issue:730" + ], + "prepared_review_unit_hash": "4f102dc42dd88d6ae3c6e0e26d3b83d43cb4ea6d09578f4fdf87f7beb268dc50", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34761, + "estimated_input_tokens": 8691, + "estimated_eval_tokens": 17638 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most soft pairs are not true duplicates: they share a broad subsystem like DreamBooth, SDXL, or video generation, but describe different failures and code paths. Two pairs look like clear duplicates: the missing LatentDiffusionPipeline symbol, and the missing model_index.json after DreamBooth export.", + "confidence": 0.82, + "canonical_issue_reason": "Issue 50 is the best canonical issue: it states the underlying missing LatentDiffusionPipeline problem most directly, and issue 1055 appears to be the same report in different wording.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 50 is the strongest overall issue representative because it is concise, specific, and matches a clear duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1013", + "right": "issue:3970", + "accept": false, + "reason": "Different pipelines and different failures; one is StableDiffusionMegaPipeline/Diffusers 6.0, the other is SDXL prompt embeddings." + }, + { + "left": "issue:2324", + "right": "issue:2465", + "accept": false, + "reason": "One is a training bug reading instance data; the other is a request for a reproducible recipe." + }, + { + "left": "issue:4236", + "right": "issue:5433", + "accept": false, + "reason": "Both involve SDXL/refiner, but the symptoms and likely code paths differ: text encoder registration vs image artifacts with schedulers." + }, + { + "left": "issue:5436", + "right": "issue:6092", + "accept": false, + "reason": "Different training scripts and failures; ControlNet XL example error is not the same as LoRA example not training." + }, + { + "left": "issue:11006", + "right": "issue:12012", + "accept": false, + "reason": "Both are Wan video issues, but they involve different pipeline versions and different failure modes (broken output vs context state error)." + }, + { + "left": "issue:1565", + "right": "issue:8939", + "accept": false, + "reason": "Unrelated problems: GPU selection/out-of-memory vs tokenizer loading for SD3." + }, + { + "left": "issue:7682", + "right": "issue:9780", + "accept": false, + "reason": "Different model families and errors; multi-GPU SD1.5 runtime issues are not the same as SD3.5 attribute loading errors." + }, + { + "left": "issue:8277", + "right": "issue:8477", + "accept": false, + "reason": "One reports non-convergence; the other is a DistributedDataParallel runtime error. Same training area, different bug." + }, + { + "left": "issue:4634", + "right": "issue:4704", + "accept": false, + "reason": "Custom Diffusion is the common area, but safe serialization and training-script failure are different concrete issues." + }, + { + "left": "issue:5219", + "right": "issue:6934", + "accept": false, + "reason": "Related to SDXL conversion/loading, but one is a load failure and the other is a conversion-format bug; not clearly the same underlying defect." + }, + { + "left": "issue:5395", + "right": "issue:5628", + "accept": false, + "reason": "Unrelated subsystems: LoRA merging vs scheduler offset behavior." + }, + { + "left": "issue:5012", + "right": "issue:6297", + "accept": false, + "reason": "Both are LoRA training-related, but they affect different SDXL training scripts and different failure modes." + }, + { + "left": "issue:1261", + "right": "issue:3584", + "accept": false, + "reason": "Xformers backward-pass assert is unrelated to a DreamBooth tutorial failure." + }, + { + "left": "issue:2361", + "right": "issue:6224", + "accept": false, + "reason": "Checkpoint-saving crash and TorchDynamo fine-tuning issue are different problems." + }, + { + "left": "issue:1055", + "right": "issue:50", + "accept": true, + "reason": "Same underlying bug: the LatentDiffusionPipeline symbol is missing/absent, with matching user-facing error wording." + }, + { + "left": "issue:1261", + "right": "issue:4117", + "accept": false, + "reason": "Different bugs: xformers attention backward failure vs DreamBooth not working with SDXL." + }, + { + "left": "issue:3468", + "right": "issue:5259", + "accept": true, + "reason": "Both describe the same missing model_index.json problem when trying to use a DreamBooth/exported pipeline." + }, + { + "left": "issue:3984", + "right": "issue:785", + "accept": false, + "reason": "Completely different issues: class label validation vs scheduler performance." + }, + { + "left": "issue:4134", + "right": "issue:5607", + "accept": false, + "reason": "Both mention tensor-size mismatches, but the model/context and failure details are too different to treat as the same bug." + }, + { + "left": "issue:4303", + "right": "issue:8939", + "accept": false, + "reason": "Different model-loading failures in different frameworks/models; not the same code path." + }, + { + "left": "issue:4969", + "right": "issue:9167", + "accept": false, + "reason": "Import errors for different classes (CrossAttention vs StableDiffusion3Pipeline) are not the same defect." + }, + { + "left": "issue:5150", + "right": "issue:5458", + "accept": false, + "reason": "Missing from_single_file support and local_files_only behavior are unrelated API issues." + }, + { + "left": "issue:5515", + "right": "issue:6790", + "accept": false, + "reason": "Different LCM issues: initialization without scheduler vs unexpected state_dict keys during training." + }, + { + "left": "issue:7223", + "right": "issue:7333", + "accept": false, + "reason": "One is a feature request to add Latte; the other is a bug report about image-to-video generation quality." + }, + { + "left": "issue:1643", + "right": "issue:730", + "accept": false, + "reason": "Unrelated DreamBooth complaints: xformers method signature mismatch vs local training not learning." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded overall: the canonical issue choice is well supported by the titles/body, and the only accepted duplicate pairs are the two that clearly match the same underlying bug. The remaining soft pairs are rejected conservatively, usually because they share only a broad subsystem and not the same failure mode." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 120, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10382", + "issue:10823", + "issue:10963", + "issue:10986", + "issue:11062", + "issue:11127", + "issue:11136", + "issue:11359", + "issue:11569", + "issue:11709", + "issue:12012", + "issue:1434", + "issue:1643", + "issue:2081", + "issue:2161", + "issue:222", + "issue:2673", + "issue:2728", + "issue:3174", + "issue:3325", + "issue:3453", + "issue:4104", + "issue:4250", + "issue:4255", + "issue:4389", + "issue:4551", + "issue:4639", + "issue:4724", + "issue:4788", + "issue:4892", + "issue:4911", + "issue:5016", + "issue:5558", + "issue:5760", + "issue:5840", + "issue:6492", + "issue:6517", + "issue:6598", + "issue:7146", + "issue:8432", + "issue:8787", + "issue:8788", + "issue:8960", + "issue:9055", + "issue:9096", + "issue:9613", + "issue:9768", + "issue:9856" + ], + "soft_pairs": [ + "issue:8787|issue:9613", + "issue:9096|issue:9768", + "issue:11136|issue:8788", + "issue:4104|issue:6492", + "issue:3325|issue:4639", + "issue:12012|issue:9856", + "issue:10382|issue:8960", + "issue:10986|issue:11709", + "issue:1643|issue:4551", + "issue:11062|issue:11127", + "issue:2081|issue:2673", + "issue:10823|issue:7146", + "issue:4255|issue:6598", + "issue:2161|issue:3174", + "issue:10963|issue:8432", + "issue:11359|issue:11569", + "issue:1434|issue:4788", + "issue:4724|issue:5558", + "issue:6517|issue:9055", + "issue:5016|issue:5840", + "issue:2728|issue:4250", + "issue:4892|issue:5760", + "issue:4389|issue:4911", + "issue:222|issue:3453" + ], + "prepared_review_unit_hash": "e73d008078c52efce5b0ebb1e8474373eb6727cbcfd2fa3b10bea37ed8432fe7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34638, + "estimated_input_tokens": 8660, + "estimated_eval_tokens": 17576 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a noisy, mostly unrelated issue set. The soft pairs share only broad topical similarity (loading, training, OOM, NaNs, black images), not the same concrete bug path, so none should be deduplicated.", + "confidence": 0.89, + "canonical_issue_reason": "Issue 4250 is the broadest generic loading report, so it is the least-bad anchor if a single canonical issue must be chosen, but the set is too heterogeneous for a real duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4250 is the most generic and reusable issue title in the set; it is the best global issue candidate only in a weak, forced sense.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8787", + "right": "issue:9613", + "accept": false, + "reason": "Both mention model-loading/version-related failures, but one is slow loading while the other is a Timesteps attribute error; different bugs." + }, + { + "left": "issue:9096", + "right": "issue:9768", + "accept": false, + "reason": "Both involve NaNs, but one is Flux half-precision inference and the other is a torch 2.5 SDPA/CuDNN backend issue; not the same code path." + }, + { + "left": "issue:11136", + "right": "issue:8788", + "accept": false, + "reason": "These are different pipeline limitations: SCM timestep support versus SD3 VAE tiling on non-power-of-two images." + }, + { + "left": "issue:4104", + "right": "issue:6492", + "accept": false, + "reason": "Both report black images, but the stated failures and likely causes differ; symptom overlap alone is not enough." + }, + { + "left": "issue:3325", + "right": "issue:4639", + "accept": false, + "reason": "Both are training-time errors, but they hit different scripts and failure modes (CUDA invalid argument vs dataloader multiprocessing)." + }, + { + "left": "issue:12012", + "right": "issue:9856", + "accept": false, + "reason": "Wan 2.2 caching context errors and a distributed port conflict are unrelated." + }, + { + "left": "issue:10382", + "right": "issue:8960", + "accept": false, + "reason": "Encoder return-type mismatch in VAE forward is unrelated to gradient accumulation not working." + }, + { + "left": "issue:10986", + "right": "issue:11709", + "accept": false, + "reason": "ComplexDouble-on-MPS conversion errors and LoRA key errors are different inference/loading bugs." + }, + { + "left": "issue:1643", + "right": "issue:4551", + "accept": false, + "reason": "Both mention dreambooth, but one is a method signature mismatch and the other is an SDXL crash; different issues." + }, + { + "left": "issue:11062", + "right": "issue:11127", + "accept": false, + "reason": "Both are CivitAI model-loading reports, but they involve different model types and distinct loader failures." + }, + { + "left": "issue:2081", + "right": "issue:2673", + "accept": false, + "reason": "JAX weight conversion problems and upscale pipeline config/input errors are unrelated." + }, + { + "left": "issue:10823", + "right": "issue:7146", + "accept": false, + "reason": "Training file/output packaging and CUDA OOM during fine-tuning are different problems." + }, + { + "left": "issue:4255", + "right": "issue:6598", + "accept": false, + "reason": "Both compare Diffusers against other tooling, but one is general quality mismatch and the other is a specific img2img reproducibility issue." + }, + { + "left": "issue:2161", + "right": "issue:3174", + "accept": false, + "reason": "Both involve LoRA, but one is LoRA training on inpainting and the other is a loading break from new LoRA features." + }, + { + "left": "issue:10963", + "right": "issue:8432", + "accept": false, + "reason": "Different import failures for different classes; same package area, not the same bug." + }, + { + "left": "issue:11359", + "right": "issue:11569", + "accept": false, + "reason": "Both are about LTX-Video, but one requests faster inference and the other requests a diffusers repo for a distilled model." + }, + { + "left": "issue:1434", + "right": "issue:4788", + "accept": false, + "reason": "Both are OOM reports, but they affect different pipelines and scenarios." + }, + { + "left": "issue:4724", + "right": "issue:5558", + "accept": false, + "reason": "Both are SDXL pipeline problems, but one is img2img behavior with a base checkpoint and the other is ControlNet inpaint artifacts with multiple ControlNets." + }, + { + "left": "issue:6517", + "right": "issue:9055", + "accept": false, + "reason": "Both are import errors, but they target different modules and symbols." + }, + { + "left": "issue:5016", + "right": "issue:5840", + "accept": false, + "reason": "Both are train_dreambooth_lora_sdxl issues, but one is about text encoder training and the other is checkpoint resume/freezing behavior." + }, + { + "left": "issue:2728", + "right": "issue:4250", + "accept": false, + "reason": "Both involve model loading, but one is a safetensors UNet load failure and the other is a generic from_pretrained complaint." + }, + { + "left": "issue:4892", + "right": "issue:5760", + "accept": false, + "reason": "Both are research pipelines, but they are entirely different models and tasks." + }, + { + "left": "issue:4389", + "right": "issue:4911", + "accept": false, + "reason": "Both are loading errors, but one is ControlNetModel import/load and the other is custom text_encoder loading from_single_file." + }, + { + "left": "issue:222", + "right": "issue:3453", + "accept": false, + "reason": "Both are runtime training errors, but the underlying failures are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 121, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10049", + "issue:10428", + "issue:10446", + "issue:10797", + "issue:1166", + "issue:12108", + "issue:12458", + "issue:1367", + "issue:1922", + "issue:2036", + "issue:2132", + "issue:2218", + "issue:2375", + "issue:2560", + "issue:2844", + "issue:3363", + "issue:3450", + "issue:3871", + "issue:4030", + "issue:4241", + "issue:4566", + "issue:5510", + "issue:5558", + "issue:5605", + "issue:5931", + "issue:6323", + "issue:6354", + "issue:6570", + "issue:6636", + "issue:7000", + "issue:7056", + "issue:7347", + "issue:746", + "issue:8435", + "issue:9063", + "issue:9089", + "issue:9096", + "issue:9187", + "issue:9415", + "issue:9450", + "issue:9515", + "issue:9660", + "issue:9810", + "issue:9856", + "issue:9895", + "issue:9911", + "issue:993" + ], + "soft_pairs": [ + "issue:7056|issue:9415", + "issue:2132|issue:3363", + "issue:9515|issue:9810", + "issue:3450|issue:5931", + "issue:5605|issue:6354", + "issue:7000|issue:9096", + "issue:4030|issue:8435", + "issue:10049|issue:6636", + "issue:10446|issue:9450", + "issue:9856|issue:9911", + "issue:1922|issue:2375", + "issue:10797|issue:9187", + "issue:4566|issue:7347", + "issue:4241|issue:6354", + "issue:2844|issue:3871", + "issue:2560|issue:5558", + "issue:10428|issue:9895", + "issue:1367|issue:746", + "issue:1166|issue:2218", + "issue:2036|issue:993", + "issue:9063|issue:9089", + "issue:5510|issue:6570", + "issue:6323|issue:9660", + "issue:12108|issue:12458" + ], + "prepared_review_unit_hash": "9f7dd3f506f6465fbce5bdfd6dfa6f285b677a2b44d5425eae29b3dd3f9b0bae", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33860, + "estimated_input_tokens": 8465, + "estimated_eval_tokens": 17186 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No strong duplicates here; most soft pairs only share a broad subsystem (often Flux, LoRA, or pipeline training) but describe different bugs or feature requests. I\u2019d keep the most concrete Flux regression issue as the representative issue, and there are no PRs in this set.", + "confidence": 0.79, + "canonical_issue_reason": "issue:9895 is the strongest representative issue: it has a precise FluxPipeline device-mismatch failure and an explicit regression trigger tied to a commit, making it the clearest high-signal bug report in the set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9895 is the best single issue to anchor this cluster because it is concrete, reproducible, and points to a specific regression path; the other issues are narrower, older, or about different model families and failure modes.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7056", + "right": "issue:9415", + "accept": false, + "reason": "Different models and bugs: SDXL LoRA fine-tuning with train_text_encoder vs a CogVideoXTransformer3DModel parameter error." + }, + { + "left": "issue:2132", + "right": "issue:3363", + "accept": false, + "reason": "Both involve DreamBooth scripts, but one is a missing Accelerator attribute and the other is a machine-specific training failure; not the same bug." + }, + { + "left": "issue:9515", + "right": "issue:9810", + "accept": false, + "reason": "Unrelated changes: missing RMSNorm in JointAttnProcessor2_0 vs LoRA module_to_save support." + }, + { + "left": "issue:3450", + "right": "issue:5931", + "accept": false, + "reason": "Loading from_ckpt failing is a different problem from nondeterministic generation." + }, + { + "left": "issue:5605", + "right": "issue:6354", + "accept": false, + "reason": "Feature requests in different areas: per-image captions for SDXL DreamBooth vs LoRA support for ControlNet." + }, + { + "left": "issue:7000", + "right": "issue:9096", + "accept": false, + "reason": "A PyTorch deprecation warning is not the same as Flux half-precision NaN inference." + }, + { + "left": "issue:4030", + "right": "issue:8435", + "accept": false, + "reason": "Different runtime paths: SD 2.1 embedding error vs from_single_file loading error." + }, + { + "left": "issue:10049", + "right": "issue:6636", + "accept": false, + "reason": "Both are import failures, but they concern different symbols and different root causes." + }, + { + "left": "issue:10446", + "right": "issue:9450", + "accept": false, + "reason": "Both are Flux multi-GPU-related, but one is FluxControlNetPipeline sharding incompatibility and the other is a FluxPipeline transformer device-mismatch issue; not clearly the same concrete bug." + }, + { + "left": "issue:9856", + "right": "issue:9911", + "accept": false, + "reason": "Distributed port conflict and Flux multi-ControlNet layer-length mismatch are unrelated." + }, + { + "left": "issue:1922", + "right": "issue:2375", + "accept": false, + "reason": "Notebook NameError for init_git_repo vs safe_open NameError are different missing-symbol issues." + }, + { + "left": "issue:10797", + "right": "issue:9187", + "accept": false, + "reason": "Different pipelines and failures: HunyuanVideo group offloading vs SDXL IP-Adapter regression after Kolors update." + }, + { + "left": "issue:4566", + "right": "issue:7347", + "accept": false, + "reason": "Checkpoint resume failure in SDXL LoRA training is not the same as a generic training failure after an update." + }, + { + "left": "issue:4241", + "right": "issue:6354", + "accept": false, + "reason": "A request for unidiffusers LoRA fine-tuning is not a duplicate of adding LoRA support for ControlNet." + }, + { + "left": "issue:2844", + "right": "issue:3871", + "accept": false, + "reason": "StableUnCLIP image-embedding runtime error and checkpoint-resume training error are different bugs." + }, + { + "left": "issue:2560", + "right": "issue:5558", + "accept": false, + "reason": "Different symptoms and code paths: generator-list nondeterminism vs multi-ControlNet inpaint artifacts." + }, + { + "left": "issue:10428", + "right": "issue:9895", + "accept": false, + "reason": "Both are Flux inference issues, but one is on Ascend NPU and the other is a CUDA/CPU device-placement regression; not the same bug." + }, + { + "left": "issue:1367", + "right": "issue:746", + "accept": false, + "reason": "Scheduler config serialization with trained_betas is unrelated to an ONNX revision loading issue." + }, + { + "left": "issue:1166", + "right": "issue:2218", + "accept": false, + "reason": "TPU save hang and overtrained models are different training problems." + }, + { + "left": "issue:2036", + "right": "issue:993", + "accept": false, + "reason": "An OSError loading stable-diffusion-v1-4 is not the same as an fp16 dtype mismatch." + }, + { + "left": "issue:9063", + "right": "issue:9089", + "accept": false, + "reason": "Flux tokenizer instantiation failure and FluxPipeline import missing are different issues." + }, + { + "left": "issue:5510", + "right": "issue:6570", + "accept": false, + "reason": "Half/bias dtype mismatch and tensor-size mismatch are distinct runtime errors." + }, + { + "left": "issue:6323", + "right": "issue:9660", + "accept": false, + "reason": "TensorRT guidance_scale attribute handling is unrelated to from_pretrained not setting eval mode." + }, + { + "left": "issue:12108", + "right": "issue:12458", + "accept": false, + "reason": "Qwen image/chroma scheduler incompatibility is different from a batch inference feature request for Qwen-image-edit." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 122, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10016", + "issue:10472", + "issue:11046", + "issue:1125", + "issue:11627", + "issue:12080", + "issue:13065", + "issue:13300", + "issue:1633", + "issue:2444", + "issue:2707", + "issue:2905", + "issue:3728", + "issue:3948", + "issue:4014", + "issue:4080", + "issue:4790", + "issue:4808", + "issue:5143", + "issue:5628", + "issue:5647", + "issue:5703", + "issue:5966", + "issue:617", + "issue:6218", + "issue:6418", + "issue:6520", + "issue:6594", + "issue:6749", + "issue:6758", + "issue:7049", + "issue:7237", + "issue:7418", + "issue:7509", + "issue:7606", + "issue:7708", + "issue:7793", + "issue:7936", + "issue:7974", + "issue:8228", + "issue:8551", + "issue:8626", + "issue:9012", + "issue:9202", + "issue:940", + "issue:941", + "issue:967" + ], + "soft_pairs": [ + "issue:10010|issue:7237", + "issue:6520|issue:6749", + "issue:10472|issue:7606", + "issue:11627|issue:8626", + "issue:3728|issue:7509", + "issue:7049|issue:9202", + "issue:2707|issue:4790", + "issue:1125|issue:13300", + "issue:3948|issue:4014", + "issue:6218|issue:6758", + "issue:2444|issue:2707", + "issue:5647|issue:8551", + "issue:940|issue:941", + "issue:10016|issue:8228", + "issue:4808|issue:6218", + "issue:7708|issue:7936", + "issue:7793|issue:9012", + "issue:1633|issue:2905", + "issue:5628|issue:5703", + "issue:11046|issue:7974", + "issue:617|issue:967", + "issue:12080|issue:13065", + "issue:4080|issue:5966", + "issue:5143|issue:6418", + "issue:6594|issue:7418" + ], + "prepared_review_unit_hash": "2fe0116186de137a65c9d177d1314bec17660c688f543c3db605bca44da64754", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34950, + "estimated_input_tokens": 8738, + "estimated_eval_tokens": 17732 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated issues across different pipelines, schedulers, model-loading paths, and feature requests. I don\u2019t see a coherent duplicate cluster, so all soft links should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue fits: the items cover distinct bugs and feature requests with different models, pipelines, and failure modes.", + "canonical_pr_reason": null, + "best_issue_reason": "If a placeholder is required, issue:13300 is the broadest and most recent report, but it still does not represent the rest of the set well.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10010", + "right": "issue:7237", + "accept": false, + "reason": "Different loading failures: missing FLUX model file vs missing scheduler class." + }, + { + "left": "issue:6520", + "right": "issue:6749", + "accept": false, + "reason": "Different contexts and symptoms: blank validation output vs InstantID replication issues." + }, + { + "left": "issue:10472", + "right": "issue:7606", + "accept": false, + "reason": "Different bugs: unexpected lora_bias kwarg vs a deprecation notice in Kandinsky LoRA code." + }, + { + "left": "issue:11627", + "right": "issue:8626", + "accept": false, + "reason": "One is an inference bug request; the other is documentation/guidance for IP-Adapter usage." + }, + { + "left": "issue:3728", + "right": "issue:7509", + "accept": false, + "reason": "Different requested features: a new text-to-image pipeline vs iterative inversion/re-noising." + }, + { + "left": "issue:7049", + "right": "issue:9202", + "accept": false, + "reason": "Both involve IP-Adapter, but the concrete errors and pipelines differ." + }, + { + "left": "issue:2707", + "right": "issue:4790", + "accept": false, + "reason": "Different converter problems: syntax error vs generated files not being reopenable." + }, + { + "left": "issue:1125", + "right": "issue:13300", + "accept": false, + "reason": "Different pipeline failures and model families; not the same underlying bug." + }, + { + "left": "issue:3948", + "right": "issue:4014", + "accept": false, + "reason": "Different image-quality symptoms: pale images vs watermark artifacts." + }, + { + "left": "issue:6218", + "right": "issue:6758", + "accept": false, + "reason": "Both are pipeline parameter issues, but the affected pipelines and failures are different." + }, + { + "left": "issue:2444", + "right": "issue:2707", + "accept": false, + "reason": "Unrelated script failures in different tools and code paths." + }, + { + "left": "issue:5647", + "right": "issue:8551", + "accept": false, + "reason": "Different bugs: SDXL inpaint strength==1 behavior vs device_map placement for VAE latents." + }, + { + "left": "issue:940", + "right": "issue:941", + "accept": false, + "reason": "Same device family (MPS) but different pipeline behaviors and failure modes." + }, + { + "left": "issue:10016", + "right": "issue:8228", + "accept": false, + "reason": "Both are from_single_file loading issues, but they fail on different components and model shapes." + }, + { + "left": "issue:4808", + "right": "issue:6218", + "accept": false, + "reason": "Different pipelines and symptoms: SHAP-E integration test vs batched seeds in ControlNet/Img2Img." + }, + { + "left": "issue:7708", + "right": "issue:7936", + "accept": false, + "reason": "Different file/path errors: missing tokenizer config vs invalid JSON in a safetensors load." + }, + { + "left": "issue:7793", + "right": "issue:9012", + "accept": false, + "reason": "Different weight-loading paths and models; not the same concrete defect." + }, + { + "left": "issue:1633", + "right": "issue:2905", + "accept": false, + "reason": "Related feature area, but one is a wrapper option request and the other is a broader scheduler feature request." + }, + { + "left": "issue:5628", + "right": "issue:5703", + "accept": false, + "reason": "Different scheduler bugs with different algorithms and failure behavior." + }, + { + "left": "issue:11046", + "right": "issue:7974", + "accept": false, + "reason": "Both mention inpaint/IP-Adapter, but they target different pipelines and use cases." + }, + { + "left": "issue:617", + "right": "issue:967", + "accept": false, + "reason": "Completely different problems: hardware NNPack init vs ONNX scheduler incompatibility." + }, + { + "left": "issue:12080", + "right": "issue:13065", + "accept": false, + "reason": "Same model family, but one is general image editing and the other is a specific controlnet inpaint/canny request." + }, + { + "left": "issue:4080", + "right": "issue:5966", + "accept": false, + "reason": "Different feature requests for different model families and pipelines." + }, + { + "left": "issue:5143", + "right": "issue:6418", + "accept": false, + "reason": "Different output consistency bugs: tiny numeric differences vs identical video frames." + }, + { + "left": "issue:6594", + "right": "issue:7418", + "accept": false, + "reason": "External config fetch failure vs a community pipeline code bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 123, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10066", + "issue:10202", + "issue:10492", + "issue:10542", + "issue:11702", + "issue:11962", + "issue:12078", + "issue:12157", + "issue:12175", + "issue:12319", + "issue:12459", + "issue:1310", + "issue:13281", + "issue:1434", + "issue:1934", + "issue:2015", + "issue:2091", + "issue:2361", + "issue:2507", + "issue:2618", + "issue:2851", + "issue:3296", + "issue:3377", + "issue:3565", + "issue:3613", + "issue:3761", + "issue:3803", + "issue:3885", + "issue:3937", + "issue:4400", + "issue:5044", + "issue:5606", + "issue:5607", + "issue:5873", + "issue:5923", + "issue:6069", + "issue:6157", + "issue:6230", + "issue:6545", + "issue:6548", + "issue:6891", + "issue:7237", + "issue:8668", + "issue:9178", + "issue:9210", + "issue:9264", + "issue:9476" + ], + "soft_pairs": [ + "issue:12319|issue:13281", + "issue:1434|issue:1934", + "issue:12078|issue:9476", + "issue:12157|issue:12175", + "issue:3937|issue:6157", + "issue:10066|issue:5607", + "issue:6069|issue:8668", + "issue:6545|issue:6891", + "issue:2361|issue:3296", + "issue:10492|issue:11702", + "issue:2507|issue:5606", + "issue:2618|issue:6548", + "issue:3377|issue:4400", + "issue:3565|issue:3613", + "issue:5873|issue:7237", + "issue:3761|issue:5044", + "issue:2091|issue:3885", + "issue:10202|issue:9178", + "issue:10542|issue:12459", + "issue:1310|issue:2015", + "issue:5923|issue:9210", + "issue:11962|issue:9264", + "issue:2851|issue:3803", + "issue:3613|issue:6230" + ], + "prepared_review_unit_hash": "f11405cec0b942246f7214b12a080a25666304790ac9e9829d10e550876fed6f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33667, + "estimated_input_tokens": 8417, + "estimated_eval_tokens": 17090 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated bugs, feature requests, trackers, and training/runtime issues across different models and code paths. None of the soft pairs look like the same underlying defect or change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a strong canonical representative because the items are heterogeneous and mostly unrelated beyond broad keyword overlap.", + "best_pr_reason": "No pull requests are present in this cluster, so there is no canonical PR candidate.", + "soft_edge_verdicts": [ + { + "left": "issue:12319", + "right": "issue:13281", + "accept": false, + "reason": "Both involve offloading, but one is a block_level group-offloading bug and the other is a torchao quantized-model device mismatch in Qwen Image." + }, + { + "left": "issue:1434", + "right": "issue:1934", + "accept": false, + "reason": "Both mention memory usage, but one is an OOM in StableDiffusionUpscalePipeline and the other is a cpu_offload VRAM consumption issue." + }, + { + "left": "issue:12078", + "right": "issue:9476", + "accept": false, + "reason": "Both are Flux-related, but one is about bad example validation input and the other is a dtype mismatch during DreamBooth LoRA validation." + }, + { + "left": "issue:12157", + "right": "issue:12175", + "accept": false, + "reason": "Qwen Image is the common model name, but one is a torch.device iterable error during quantized training and the other is a generated-image quality complaint." + }, + { + "left": "issue:3937", + "right": "issue:6157", + "accept": false, + "reason": "One is a model loading failure and the other is an ip_adapter compatibility question in ControlNet img2img; different code paths." + }, + { + "left": "issue:10066", + "right": "issue:5607", + "accept": false, + "reason": "Both are runtime errors, but the exceptions indicate different failures: tuple unpacking versus tensor size mismatch." + }, + { + "left": "issue:6069", + "right": "issue:8668", + "accept": false, + "reason": "Scheduler add_noise failing at t=0 is unrelated to StableDiffusion3 img2img image-alignment constraints." + }, + { + "left": "issue:6545", + "right": "issue:6891", + "accept": false, + "reason": "Both are trackers, but one is about modularizing inference and the other is about adopting new model-card utilities." + }, + { + "left": "issue:2361", + "right": "issue:3296", + "accept": false, + "reason": "Both concern checkpoint/save-load behavior during training, but they affect different scripts and different mechanisms." + }, + { + "left": "issue:10492", + "right": "issue:11702", + "accept": false, + "reason": "TorchAO quantize/lora fuse and AccVid LoRA key errors are separate model-loading/training failures." + }, + { + "left": "issue:2507", + "right": "issue:5606", + "accept": false, + "reason": "Slow safetensors GPU loading is performance-related, while loading LoRA without alpha is a functional bug." + }, + { + "left": "issue:2618", + "right": "issue:6548", + "accept": false, + "reason": "One is about FloatTensor image input in ControlNet; the other is an RGBA img2img latent handling bug." + }, + { + "left": "issue:3377", + "right": "issue:4400", + "accept": false, + "reason": "A question about SNR weighting is not the same as text_encoder support in a specific training script." + }, + { + "left": "issue:3565", + "right": "issue:3613", + "accept": false, + "reason": "Both mention OOM, but they are different training scripts with different settings and failure contexts." + }, + { + "left": "issue:5873", + "right": "issue:7237", + "accept": false, + "reason": "ONNX export support for scaled_dot_product_attention is unrelated to a scheduler missing from the latest version." + }, + { + "left": "issue:3761", + "right": "issue:5044", + "accept": false, + "reason": "Loading multiple community pipelines in one process is unrelated to Kandinsky 2.2 failing to load." + }, + { + "left": "issue:2091", + "right": "issue:3885", + "accept": false, + "reason": "Resuming multi-GPU checkpoint training and reducing VRAM usage are different training concerns, not the same bug." + }, + { + "left": "issue:10202", + "right": "issue:9178", + "accept": false, + "reason": "Flux LoRA unload behavior and Flux LoRA target-module errors are distinct issues in different stages of the workflow." + }, + { + "left": "issue:10542", + "right": "issue:12459", + "accept": false, + "reason": "Hunyuan batch-size breakage and FLUX.1-Kontext batch inference throughput are different model-specific issues." + }, + { + "left": "issue:1310", + "right": "issue:2015", + "accept": false, + "reason": "K-Diffusion Stable Diffusion pipeline work and categorical diffusion pipeline are separate feature requests/problems." + }, + { + "left": "issue:5923", + "right": "issue:9210", + "accept": false, + "reason": "Multi-GPU text-to-image training hanging is unrelated to the image_column validation error." + }, + { + "left": "issue:11962", + "right": "issue:9264", + "accept": false, + "reason": "GGUF quantized-model support and asking for a FLUX inpainting model are different feature requests." + }, + { + "left": "issue:2851", + "right": "issue:3803", + "accept": false, + "reason": "TPU push_to_hub limitations and multi-GPU LoRA synchronization are different distributed-training problems." + }, + { + "left": "issue:3613", + "right": "issue:6230", + "accept": false, + "reason": "Both are OOM reports, but they involve different scripts, models, and training configurations." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 124, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10472", + "issue:10514", + "issue:10526", + "issue:10760", + "issue:10798", + "issue:11135", + "issue:11232", + "issue:11352", + "issue:11569", + "issue:11651", + "issue:13015", + "issue:13053", + "issue:1392", + "issue:1478", + "issue:1643", + "issue:1979", + "issue:255", + "issue:2673", + "issue:3238", + "issue:3593", + "issue:3672", + "issue:3700", + "issue:3781", + "issue:3880", + "issue:4109", + "issue:4213", + "issue:4354", + "issue:4386", + "issue:457", + "issue:4782", + "issue:5334", + "issue:5474", + "issue:5877", + "issue:5932", + "issue:6008", + "issue:6277", + "issue:6388", + "issue:6695", + "issue:7180", + "issue:7228", + "issue:7592", + "issue:785", + "issue:861", + "issue:8738", + "issue:9138", + "issue:9270", + "issue:9690" + ], + "soft_pairs": [ + "issue:10526|issue:9690", + "issue:1478|issue:2673", + "issue:1979|issue:861", + "issue:11651|issue:9270", + "issue:3238|issue:6008", + "issue:5877|issue:6695", + "issue:457|issue:785", + "issue:3593|issue:7180", + "issue:4213|issue:7592", + "issue:10514|issue:9138", + "issue:10472|issue:11232", + "issue:10760|issue:7228", + "issue:10798|issue:13015", + "issue:11135|issue:5474", + "issue:11352|issue:8738", + "issue:11569|issue:13053", + "issue:1392|issue:5474", + "issue:1643|issue:5932", + "issue:255|issue:3672", + "issue:3700|issue:6277", + "issue:3781|issue:5334", + "issue:3880|issue:4782", + "issue:4109|issue:4354", + "issue:4386|issue:6388" + ], + "prepared_review_unit_hash": "2e331408be8b4a9fea2667234d802420eb01e31d397970f9bcd6cbfc1b08488f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33868, + "estimated_input_tokens": 8467, + "estimated_eval_tokens": 17190 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly false-positive similarity: it mixes unrelated issues across LoRA/Flux, pipelines, inpainting, quantization, import errors, and training scripts. No soft edge looks like a true duplicate pair.", + "confidence": 0.22, + "canonical_issue_reason": "Issue 11651 is the closest thing to a representative item because it is a concrete, user-facing LoRA/Flux loading bug. That said, the cluster is too heterogeneous for a strong canonical issue choice.", + "canonical_pr_reason": null, + "best_issue_reason": "11651 is the best single issue to surface only because it is the clearest concrete bug in the dominant LoRA/Flux subset. It is not a good cluster-wide duplicate anchor, just the least-bad representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10526", + "right": "issue:9690", + "accept": false, + "reason": "FP8 quantization constructor TypeError is unrelated to example-code cleanup." + }, + { + "left": "issue:1478", + "right": "issue:2673", + "accept": false, + "reason": "Both involve upscaling, but one is an output-count bug and the other is a config/image-shape failure in a different code path." + }, + { + "left": "issue:1979", + "right": "issue:861", + "accept": false, + "reason": "Both are conversion-related, but one is SD-to-diffusers conversion in general and the other is a specific ckpt conversion command failure; not the same bug." + }, + { + "left": "issue:11651", + "right": "issue:9270", + "accept": false, + "reason": "Both mention Flux LoRA support, but one is a loading failure in FluxControl and the other is a broader SimpleTuner support complaint." + }, + { + "left": "issue:3238", + "right": "issue:6008", + "accept": false, + "reason": "LoRA conversion and IP-Adapter-plus/LCM interaction are different problems." + }, + { + "left": "issue:5877", + "right": "issue:6695", + "accept": false, + "reason": "Both mention subprocess errors, but they are separate training failures with no shared concrete failure mode." + }, + { + "left": "issue:457", + "right": "issue:785", + "accept": false, + "reason": "Both are performance/artifact issues, but MPS blue artifacts and PNDM scheduler cost are unrelated." + }, + { + "left": "issue:3593", + "right": "issue:7180", + "accept": false, + "reason": "LoRA+xformers second-call failure is unrelated to SDXL controlnet cpu-offload failure." + }, + { + "left": "issue:4213", + "right": "issue:7592", + "accept": false, + "reason": "from_single_file accelerate dependency issue is unrelated to DoRA state_dict loading." + }, + { + "left": "issue:10514", + "right": "issue:9138", + "accept": false, + "reason": "Sana sample_size/resolution-binning support is unrelated to a generic int-vs-str TypeError." + }, + { + "left": "issue:10472", + "right": "issue:11232", + "accept": false, + "reason": "Unexpected lora_bias during inference and noisy residuals during fine-tuning are different LoRA issues with different symptoms and code paths." + }, + { + "left": "issue:10760", + "right": "issue:7228", + "accept": false, + "reason": "Missing OnnxStableDiffusionInpaintPipelineLegacy attribute and traced-model dtype attribute error are unrelated import/runtime issues." + }, + { + "left": "issue:10798", + "right": "issue:13015", + "accept": false, + "reason": "Bitsandbytes device-combination bug and NPU tensor-device mismatch are different backend-specific failures." + }, + { + "left": "issue:11135", + "right": "issue:5474", + "accept": false, + "reason": "New pipeline requests for SmoothCache and Reference Only are distinct feature proposals." + }, + { + "left": "issue:11352", + "right": "issue:8738", + "accept": false, + "reason": "CPU warning for 8bit quantized model movement is unrelated to SD3Transformer2DModel configuration." + }, + { + "left": "issue:11569", + "right": "issue:13053", + "accept": false, + "reason": "Repo request for a distilled model and Unipic 3.0 pipeline support are separate feature requests." + }, + { + "left": "issue:1392", + "right": "issue:5474", + "accept": false, + "reason": "Stable Diffusion 2 release/topic and a reference-only pipeline proposal are not duplicates." + }, + { + "left": "issue:1643", + "right": "issue:5932", + "accept": false, + "reason": "xformers argument mismatch in DreamBooth is unrelated to a channel-mismatch runtime error in a different pipeline." + }, + { + "left": "issue:255", + "right": "issue:3672", + "accept": false, + "reason": "UNet block size/shape validation and concurrent thread failure are different bug classes." + }, + { + "left": "issue:3700", + "right": "issue:6277", + "accept": false, + "reason": "min_snr argument support in training script and broken gradients in the same script are separate training issues." + }, + { + "left": "issue:3781", + "right": "issue:5334", + "accept": false, + "reason": "Multiple LoRAs loading regression and Accelerate prepare/accumulate multi-model support are not the same bug." + }, + { + "left": "issue:3880", + "right": "issue:4782", + "accept": false, + "reason": "Both concern inpainting quality, but degraded unmasked areas and modifying mask==0 regions are not the same defect." + }, + { + "left": "issue:4109", + "right": "issue:4354", + "accept": false, + "reason": "SDXL inpaint not working and from_single_file returning the wrong pipeline type are distinct issues." + }, + { + "left": "issue:4386", + "right": "issue:6388", + "accept": false, + "reason": "SDXL LoRA conversion question and gradient-checkpointing ignored in training are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 125, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10302", + "issue:10337", + "issue:10797", + "issue:10914", + "issue:1100", + "issue:11298", + "issue:11352", + "issue:11370", + "issue:11872", + "issue:12329", + "issue:12529", + "issue:1367", + "issue:2518", + "issue:2786", + "issue:3280", + "issue:3442", + "issue:3454", + "issue:3694", + "issue:4073", + "issue:4183", + "issue:4450", + "issue:4554", + "issue:4754", + "issue:487", + "issue:4874", + "issue:5429", + "issue:5436", + "issue:6441", + "issue:6636", + "issue:6801", + "issue:8463", + "issue:8543", + "issue:8588", + "issue:8673", + "issue:8744", + "issue:8958", + "issue:898", + "issue:9167", + "issue:9200", + "issue:9209", + "issue:9343", + "issue:9484", + "issue:9546", + "issue:9637", + "issue:9674", + "issue:9763", + "issue:9913", + "issue:9927" + ], + "soft_pairs": [ + "issue:4554|issue:8543", + "issue:5436|issue:9674", + "issue:6801|issue:9200", + "issue:8588|issue:8673", + "issue:3454|issue:487", + "issue:9484|issue:9546", + "issue:10797|issue:11370", + "issue:3280|issue:4073", + "issue:3442|issue:4450", + "issue:10302|issue:11872", + "issue:4183|issue:4874", + "issue:8463|issue:8958", + "issue:10337|issue:9343", + "issue:8744|issue:9209", + "issue:11298|issue:9637", + "issue:6636|issue:9167", + "issue:12329|issue:12529", + "issue:10914|issue:11352", + "issue:6441|issue:9913", + "issue:3694|issue:4754", + "issue:1100|issue:898", + "issue:1367|issue:2786", + "issue:2518|issue:5429", + "issue:9763|issue:9927" + ], + "prepared_review_unit_hash": "a963d3223b93ceaac07591b22d1df994c69c0e96f989a84bf5c5f875f120ebff", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33963, + "estimated_input_tokens": 8491, + "estimated_eval_tokens": 17238 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is loosely centered on device placement/offloading, quantization, and related runtime failures, but the items are mostly distinct bugs rather than duplicates. No pull requests are present.", + "confidence": 0.71, + "canonical_issue_reason": "issue:10914 is the broadest, most central offloading/device-placement report and best matches the shared theme across the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10914 is the best representative issue because it captures the general CPU offload misbehavior that many of the other reports orbit around, even though the cluster is not truly duplicate-heavy.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4554", + "right": "issue:8543", + "accept": false, + "reason": "Both are OOM/gradient-related example failures, but they concern different models and failure modes, not the same underlying bug." + }, + { + "left": "issue:5436", + "right": "issue:9674", + "accept": false, + "reason": "Both are training-example problems, but one is a ControlNet XL example error and the other is poor SD3 controlnet results; not the same fix." + }, + { + "left": "issue:6801", + "right": "issue:9200", + "accept": false, + "reason": "Scheduler load failure vs. SDXL ControlNet dtype error are different code paths and different symptoms." + }, + { + "left": "issue:8588", + "right": "issue:8673", + "accept": false, + "reason": "Missing conversion script vs. missing attention masks in SD3 are unrelated issues." + }, + { + "left": "issue:3454", + "right": "issue:487", + "accept": false, + "reason": "Both involve training/runtime failures, but one is DreamBooth LoRA breakage and the other is a StableDiffusionPipeline M1 CPU issue." + }, + { + "left": "issue:9484", + "right": "issue:9546", + "accept": false, + "reason": "Both mention FLUX training, but multigpu/deepspeed training and validation-step OOM are different problems." + }, + { + "left": "issue:10797", + "right": "issue:11370", + "accept": false, + "reason": "Group offloading in a video pipeline and a corrupted/invalid load-key conversion script failure are not the same bug." + }, + { + "left": "issue:3280", + "right": "issue:4073", + "accept": false, + "reason": "Non-default scheduler compatibility and a DeepFloyd IF safety-checker attribute error are unrelated." + }, + { + "left": "issue:3442", + "right": "issue:4450", + "accept": false, + "reason": "Both are textual inversion issues, but one is an embedding dimension mismatch while the other is multi-text inversion not working." + }, + { + "left": "issue:10302", + "right": "issue:11872", + "accept": false, + "reason": "Both relate to offloading/precision, but one is FP8 inference noise and the other is repeated CPU/GPU movement inefficiency; not one concrete bug." + }, + { + "left": "issue:4183", + "right": "issue:4874", + "accept": false, + "reason": "ControlNet guidance-scale error and low_res_scheduler bug are different pipelines and failure modes." + }, + { + "left": "issue:8463", + "right": "issue:8958", + "accept": false, + "reason": "Missing tokenizer/object attribute issue vs. PyTorch 2.4 register_fake incompatibility are unrelated." + }, + { + "left": "issue:10337", + "right": "issue:9343", + "accept": false, + "reason": "Quantized IPAdapter failure and FLUX loading with low_cpu_mem_usage/ignore_mismatched_sizes are different problems." + }, + { + "left": "issue:8744", + "right": "issue:9209", + "accept": false, + "reason": "Training/example support request and model download/connectivity error are not the same underlying bug." + }, + { + "left": "issue:11298", + "right": "issue:9637", + "accept": false, + "reason": "LoRA hotswapping PEFT key error and xFormers attention-mask/bfloat16 bug are separate code paths." + }, + { + "left": "issue:6636", + "right": "issue:9167", + "accept": false, + "reason": "Importing DIFFUSERS_SLOW_IMPORT and importing StableDiffusion3Pipeline are different import issues." + }, + { + "left": "issue:12329", + "right": "issue:12529", + "accept": false, + "reason": "Single-file Wan transformer misclassification and Wan2.2 tiled VAE tensor mismatch are distinct issues." + }, + { + "left": "issue:10914", + "right": "issue:11352", + "accept": false, + "reason": "General unintended CPU offload and missing warning for moving 8-bit quantized models to CPU are related but not the same concrete defect." + }, + { + "left": "issue:6441", + "right": "issue:9913", + "accept": false, + "reason": "Colab from_pretrained problems and set_lora_device behavior are unrelated." + }, + { + "left": "issue:3694", + "right": "issue:4754", + "accept": false, + "reason": "Missing model_index/config in a finetuning example and loading a fine-tuned textual inversion artifact are different save/load failures." + }, + { + "left": "issue:1100", + "right": "issue:898", + "accept": false, + "reason": "Both are device-related exceptions, but one is a missing .device attribute on CLIPTextTransformer and the other is TPU bfloat16 scalar type support." + }, + { + "left": "issue:1367", + "right": "issue:2786", + "accept": false, + "reason": "Scheduler config saving and numpy input compatibility in Depth2Img are unrelated." + }, + { + "left": "issue:2518", + "right": "issue:5429", + "accept": false, + "reason": "Both touch example support for missing dependencies/components, but one is xformers support and the other is handling models without VAE; not the same change." + }, + { + "left": "issue:9763", + "right": "issue:9927", + "accept": false, + "reason": "Token truncation in FLUX ControlNet training and HeaderTooLarge in SD3 ControlNet training are different failure modes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 126, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10514", + "issue:10520", + "issue:11178", + "issue:11819", + "issue:12009", + "issue:12085", + "issue:12536", + "issue:1261", + "issue:12661", + "issue:1271", + "issue:1305", + "issue:1541", + "issue:1821", + "issue:1865", + "issue:1919", + "issue:2107", + "issue:2331", + "issue:3382", + "issue:3487", + "issue:3717", + "issue:3748", + "issue:4014", + "issue:4185", + "issue:4213", + "issue:4229", + "issue:4279", + "issue:4398", + "issue:4530", + "issue:4848", + "issue:5037", + "issue:5205", + "issue:5227", + "issue:5379", + "issue:5380", + "issue:5474", + "issue:5923", + "issue:5934", + "issue:6130", + "issue:6372", + "issue:684", + "issue:817", + "issue:8228", + "issue:8503", + "issue:8729", + "issue:8786", + "issue:9101", + "issue:9443" + ], + "soft_pairs": [ + "issue:10514|issue:10520", + "issue:2331|issue:5474", + "issue:1821|issue:3487", + "issue:12536|issue:12661", + "issue:1541|issue:817", + "issue:4848|issue:8786", + "issue:1261|issue:684", + "issue:5379|issue:5380", + "issue:12009|issue:12085", + "issue:4014|issue:4398", + "issue:5474|issue:6372", + "issue:11178|issue:8228", + "issue:1271|issue:1919", + "issue:2107|issue:4185", + "issue:3717|issue:5923", + "issue:1865|issue:3382", + "issue:4229|issue:5923", + "issue:5227|issue:5934", + "issue:11819|issue:9101", + "issue:1305|issue:5205", + "issue:8503|issue:9443", + "issue:4014|issue:4530", + "issue:4213|issue:4279", + "issue:5037|issue:8729", + "issue:3748|issue:6130" + ], + "prepared_review_unit_hash": "608db032f2c62820e2d85266e11d76555fcbe6294c5f861adcc37643401990e8", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33908, + "estimated_input_tokens": 8477, + "estimated_eval_tokens": 17210 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set; it mixes unrelated feature requests and bugs across different pipelines, loaders, and training paths. I rejected all soft-edge matches.", + "confidence": 0.86, + "canonical_issue_reason": "No good canonical issue: the set mixes unrelated feature requests and bugs across different pipelines, loaders, and training scripts.", + "canonical_pr_reason": null, + "best_issue_reason": "issue 12009 is the most concrete, self-contained failure report and the closest thing to a representative issue, but it still does not unify the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10514", + "right": "issue:10520", + "accept": false, + "reason": "Different Sana 4K failures: unsupported sample_size vs cross-device tensor mismatch." + }, + { + "left": "issue:2331", + "right": "issue:5474", + "accept": false, + "reason": "Different requests for different pipelines: ControlNet vs Reference Only." + }, + { + "left": "issue:1821", + "right": "issue:3487", + "accept": false, + "reason": "Different inpaint bugs: negative_prompt ineffectiveness vs poor strength/scheduler results." + }, + { + "left": "issue:12536", + "right": "issue:12661", + "accept": false, + "reason": "Both mention context parallelism, but the pipelines and failure modes differ." + }, + { + "left": "issue:1541", + "right": "issue:817", + "accept": false, + "reason": "Different Dreambooth issues: model type detection vs mixed precision." + }, + { + "left": "issue:4848", + "right": "issue:8786", + "accept": false, + "reason": "Different models and bugs: LPW SDXL failure vs SD3 token-length handling." + }, + { + "left": "issue:1261", + "right": "issue:684", + "accept": false, + "reason": "Unrelated problems: xformers backward assert vs AMD memory optimization support." + }, + { + "left": "issue:5379", + "right": "issue:5380", + "accept": false, + "reason": "Different community pipeline proposals, not the same change." + }, + { + "left": "issue:12009", + "right": "issue:12085", + "accept": false, + "reason": "Both are GGUF load failures, but they involve different transformer classes and error paths." + }, + { + "left": "issue:4014", + "right": "issue:4398", + "accept": false, + "reason": "Different output artifacts in different SDXL pipelines; no shared concrete bug." + }, + { + "left": "issue:5474", + "right": "issue:6372", + "accept": false, + "reason": "Different pipeline features: Reference Only vs SVD + ControlNet." + }, + { + "left": "issue:11178", + "right": "issue:8228", + "accept": false, + "reason": "Both are load failures, but for different components: ControlNet vs CLIPTextModel." + }, + { + "left": "issue:1271", + "right": "issue:1919", + "accept": false, + "reason": "Different setup problems: dependency installation vs missing datasets requirement." + }, + { + "left": "issue:2107", + "right": "issue:4185", + "accept": false, + "reason": "Both mention black/glitchy images, but the affected pipelines and likely causes differ." + }, + { + "left": "issue:3717", + "right": "issue:5923", + "accept": false, + "reason": "Different multi-GPU training failures: OOM vs execution stuck." + }, + { + "left": "issue:1865", + "right": "issue:3382", + "accept": false, + "reason": "Different training errors: ZeRO stage-3 dimension mismatch vs multi-GPU OOM." + }, + { + "left": "issue:4229", + "right": "issue:5923", + "accept": false, + "reason": "Both are multi-GPU training problems, but one is an accelerated-training error and the other is a hang." + }, + { + "left": "issue:5227", + "right": "issue:5934", + "accept": false, + "reason": "Both involve torch.compile, but the affected code paths are not the same." + }, + { + "left": "issue:11819", + "right": "issue:9101", + "accept": false, + "reason": "Different feature requests for different training scripts and model families." + }, + { + "left": "issue:1305", + "right": "issue:5205", + "accept": false, + "reason": "Different image-editing pipelines; not the same underlying change." + }, + { + "left": "issue:8503", + "right": "issue:9443", + "accept": false, + "reason": "Different SD3 issues: gradient checkpointing crash vs tokenizer instantiation failure." + }, + { + "left": "issue:4014", + "right": "issue:4530", + "accept": false, + "reason": "Both are artifact reports, but they affect different SDXL pipeline stages and symptoms." + }, + { + "left": "issue:4213", + "right": "issue:4279", + "accept": false, + "reason": "Different loading issues: accelerate dependency vs LoRA loading from CivitAI." + }, + { + "left": "issue:5037", + "right": "issue:8729", + "accept": false, + "reason": "Both involve validation images, but the scripts and failure conditions differ." + }, + { + "left": "issue:3748", + "right": "issue:6130", + "accept": false, + "reason": "Different LoRA loading bugs; too generic to treat as the same concrete issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 127, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10147", + "issue:10798", + "issue:11215", + "issue:1166", + "issue:11853", + "issue:1188", + "issue:12022", + "issue:12037", + "issue:1214", + "issue:1434", + "issue:1500", + "issue:1672", + "issue:1807", + "issue:2331", + "issue:2440", + "issue:2442", + "issue:2695", + "issue:3221", + "issue:3405", + "issue:3564", + "issue:3661", + "issue:3891", + "issue:4031", + "issue:4057", + "issue:4073", + "issue:4117", + "issue:4206", + "issue:4305", + "issue:4471", + "issue:4686", + "issue:4880", + "issue:4885", + "issue:4985", + "issue:5016", + "issue:5399", + "issue:5488", + "issue:5565", + "issue:5607", + "issue:5737", + "issue:5757", + "issue:5966", + "issue:6008", + "issue:6146", + "issue:7168", + "issue:7199", + "issue:7357", + "issue:761", + "issue:8482" + ], + "soft_pairs": [ + "issue:10147|issue:7199", + "issue:2331|issue:3564", + "issue:1214|issue:3661", + "issue:4031|issue:4073", + "issue:10798|issue:11215", + "issue:1166|issue:761", + "issue:1434|issue:4686", + "issue:4471|issue:4885", + "issue:5016|issue:5737", + "issue:5607|issue:7168", + "issue:2440|issue:5399", + "issue:11853|issue:6008", + "issue:4305|issue:7357", + "issue:2695|issue:3405", + "issue:12022|issue:12037", + "issue:5966|issue:8482", + "issue:4880|issue:5488", + "issue:5757|issue:6146", + "issue:4206|issue:4985", + "issue:1500|issue:3221", + "issue:1672|issue:1807", + "issue:4117|issue:5565", + "issue:1188|issue:3891", + "issue:2442|issue:4057" + ], + "prepared_review_unit_hash": "7f859640aa0e613b73fdf54982d167f1117c79926aae7330eeb9bed08d526835", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33999, + "estimated_input_tokens": 8500, + "estimated_eval_tokens": 17256 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No duplicate cluster here: the items span many unrelated bugs/features across different pipelines, models, and training scripts. All soft edges are false positives from superficial keyword overlap.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue: the set is too heterogeneous (ControlNet, SDXL DreamBooth, inpainting, safety checker, quantization, flash-attn, TTS, etc.) for one issue to represent the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue: none of these issues subsume the others or describe the same underlying defect/change.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10147", + "right": "issue:7199", + "accept": false, + "reason": "Both mention multi-view generation, but one is MV-Adapter support and the other is ViewFusion; different methods and different work items." + }, + { + "left": "issue:2331", + "right": "issue:3564", + "accept": false, + "reason": "Related ControlNet area, but one is a generic ControlNet pipeline request and the other is specific Uni-ControlNet support." + }, + { + "left": "issue:1214", + "right": "issue:3661", + "accept": false, + "reason": "Different bugs: half-precision CLIPTextModel failure vs from_ckpt conversion failure for SD 2.x weights." + }, + { + "left": "issue:4031", + "right": "issue:4073", + "accept": false, + "reason": "Both involve safety checker, but one is local-file loading failure and the other is an attribute/type error in DeepFloyd IF safety checker." + }, + { + "left": "issue:10798", + "right": "issue:11215", + "accept": false, + "reason": "Different quantization problems: device-combination bug with bitsandbytes vs slow FLUX quantization and poor LoRA support." + }, + { + "left": "issue:1166", + "right": "issue:761", + "accept": false, + "reason": "Different training paths and failures: TPU textual inversion save hang vs DreamBooth with 8-bit Adam." + }, + { + "left": "issue:1434", + "right": "issue:4686", + "accept": false, + "reason": "One is OOM during upscaling inference; the other is inability to reload a saved UpscalePipeline." + }, + { + "left": "issue:4471", + "right": "issue:4885", + "accept": false, + "reason": "Both are LoRA-loading complaints, but they target different SDXL pipeline variants and are not clearly the same code-path bug." + }, + { + "left": "issue:5016", + "right": "issue:5737", + "accept": false, + "reason": "Different problems: SDXL DreamBooth LoRA text encoder training vs SDXL conversion script failure." + }, + { + "left": "issue:5607", + "right": "issue:7168", + "accept": false, + "reason": "Both are tensor-shape issues, but the contexts differ completely: general pipeline tensor mismatch vs IP-Adapter image embeds." + }, + { + "left": "issue:2440", + "right": "issue:5399", + "accept": false, + "reason": "Both mention inpainting and dtype, but one is load-time float16 failure and the other is inference-time matmul dtype mismatch." + }, + { + "left": "issue:11853", + "right": "issue:6008", + "accept": false, + "reason": "Different integration bugs: ControlNet+IP-Adapter load conflict vs IP-Adapter Plus Face failing with LCM LoRA." + }, + { + "left": "issue:4305", + "right": "issue:7357", + "accept": false, + "reason": "One is a torch.compile graph break regression; the other is slow SDXL inference despite compile/fused LoRAs." + }, + { + "left": "issue:2695", + "right": "issue:3405", + "accept": false, + "reason": "Both are ControlNet training issues, but one is a validation/TensorBoard report_to bug and the other is a generic training failure." + }, + { + "left": "issue:12022", + "right": "issue:12037", + "accept": false, + "reason": "Unrelated compatibility issues: flash-attn 3 interface mismatch vs Wan 2.2 / Lightx2v LoRA guidance compatibility." + }, + { + "left": "issue:5966", + "right": "issue:8482", + "accept": false, + "reason": "Different feature requests for different model families: SD 2.1 ControlNet vs SD3-medium support." + }, + { + "left": "issue:4880", + "right": "issue:5488", + "accept": false, + "reason": "Single-controlnet image input TypeError vs generic demo code not working; not the same defect." + }, + { + "left": "issue:5757", + "right": "issue:6146", + "accept": false, + "reason": "Both are training-script problems, but one is checkpoint resume errors and the other is multi-GPU Accelerate usage." + }, + { + "left": "issue:4206", + "right": "issue:4985", + "accept": false, + "reason": "Different SDXL training failures: main-branch ControlNet training breakage vs InstructPix2Pix SDXL OOM." + }, + { + "left": "issue:1500", + "right": "issue:3221", + "accept": false, + "reason": "Both are version-compatibility issues, but they involve different APIs and different community pipelines." + }, + { + "left": "issue:1672", + "right": "issue:1807", + "accept": false, + "reason": "Wrong output size after ckpt-to-diffusers conversion vs inference getting slower over time; unrelated symptoms." + }, + { + "left": "issue:4117", + "right": "issue:5565", + "accept": false, + "reason": "Both are SDXL DreamBooth-related, but one is a general failure and the other is a specific LoRA script/run issue." + }, + { + "left": "issue:1188", + "right": "issue:3891", + "accept": false, + "reason": "Both are pipeline feature requests, but for entirely different applications (CLIPSeg vs Tortoise TTS)." + }, + { + "left": "issue:2442", + "right": "issue:4057", + "accept": false, + "reason": "Both concern inpainting models, but one asks about the loss graph during finetuning and the other reports blurred inference output." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 128, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10573", + "issue:10795", + "issue:11010", + "issue:11045", + "issue:1185", + "issue:12009", + "issue:12113", + "issue:12329", + "issue:12575", + "issue:13043", + "issue:1604", + "issue:1876", + "issue:1979", + "issue:2324", + "issue:2507", + "issue:3348", + "issue:3551", + "issue:3826", + "issue:3878", + "issue:4183", + "issue:4185", + "issue:4217", + "issue:4646", + "issue:4936", + "issue:5075", + "issue:5395", + "issue:5474", + "issue:5689", + "issue:5875", + "issue:5934", + "issue:5953", + "issue:6096", + "issue:6232", + "issue:6382", + "issue:6517", + "issue:6758", + "issue:6879", + "issue:6964", + "issue:7021", + "issue:7056", + "issue:7133", + "issue:7306", + "issue:7681", + "issue:8834", + "issue:9101", + "issue:9630", + "issue:9643", + "issue:9861" + ], + "soft_pairs": [ + "issue:3348|issue:3551", + "issue:8834|issue:9101", + "issue:9630|issue:9861", + "issue:1185|issue:2324", + "issue:5075|issue:6879", + "issue:10573|issue:9643", + "issue:3878|issue:5875", + "issue:5395|issue:6232", + "issue:6382|issue:7306", + "issue:7021|issue:7681", + "issue:4646|issue:6517", + "issue:4183|issue:5953", + "issue:10795|issue:12009", + "issue:11010|issue:11045", + "issue:2507|issue:4217", + "issue:12113|issue:12329", + "issue:3826|issue:5474", + "issue:12575|issue:13043", + "issue:7056|issue:7133", + "issue:6758|issue:6964", + "issue:1604|issue:4936", + "issue:1876|issue:1979", + "issue:5934|issue:6096", + "issue:4185|issue:5689" + ], + "prepared_review_unit_hash": "68ee27331dff9a10b203c61c8c94348b712ff8e5daac7f4661bdc17d25b1784b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34726, + "estimated_input_tokens": 8682, + "estimated_eval_tokens": 17620 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a heterogeneous set of unrelated issues rather than a single duplicate cluster. The soft pairs mostly share broad subsystems or keywords, but they describe different concrete bugs, feature requests, or code paths, so none should be merged.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3348", + "right": "issue:3551", + "accept": false, + "reason": "Both mention LoRA/xFormers, but one is about the LoRA scale parameter while the other is about LoRA disabling xFormers entirely. Related area, different bug." + }, + { + "left": "issue:8834", + "right": "issue:9101", + "accept": false, + "reason": "One asks for SD3 ControlNet training code, the other requests an InstructPix2Pix training script for SD3. Different feature requests, not duplicates." + }, + { + "left": "issue:9630", + "right": "issue:9861", + "accept": false, + "reason": "Both involve Flux training, but one is a num_single_layers=0 multi-GPU/single-GPU runtime error and the other is the transformer not updating during training. Different failure modes." + }, + { + "left": "issue:1185", + "right": "issue:2324", + "accept": false, + "reason": "Both are DreamBooth-related, but one is about reproducibility and the other about instance data not being read. Different underlying bugs." + }, + { + "left": "issue:5075", + "right": "issue:6879", + "accept": false, + "reason": "One is an SDXL refiner shape-mismatch with prompt embeddings; the other is a dtype mismatch in Custom Diffusion. Different code paths and errors." + }, + { + "left": "issue:10573", + "right": "issue:9643", + "accept": false, + "reason": "One is SDXL ControlNet inpaint with multiple controlnets and padding_mask_crop; the other is Flux multi-ControlNet support. Same broad theme, different models and issues." + }, + { + "left": "issue:3878", + "right": "issue:5875", + "accept": false, + "reason": "Pix2Pix training on imagefolder and ONNX conversion of SDXL are unrelated problems." + }, + { + "left": "issue:5395", + "right": "issue:6232", + "accept": false, + "reason": "One concerns combining LoRAs with PEFT; the other is DPMSolverSinglestepScheduler.add_noise behavior. Different subsystems." + }, + { + "left": "issue:6382", + "right": "issue:7306", + "accept": false, + "reason": "The first is an IP-Adapter key error after LCM LoRA training; the second is a float16 issue in LEditsPPPipelineStableDiffusionXL. Different bugs." + }, + { + "left": "issue:7021", + "right": "issue:7681", + "accept": false, + "reason": "One is an HF_HOME import/config issue; the other is an OpenSSL/lib attribute import failure. Different root causes." + }, + { + "left": "issue:4646", + "right": "issue:6517", + "accept": false, + "reason": "ControlNet ONNX export failure and a pipeline import traceback are distinct problems." + }, + { + "left": "issue:4183", + "right": "issue:5953", + "accept": false, + "reason": "One is a guidance_scale<=1 ControlNet generation error; the other is an image/control_image size mismatch crash. Different validations." + }, + { + "left": "issue:10795", + "right": "issue:12009", + "accept": false, + "reason": "Both involve GGUF/single-file loading, but one is torch.compile compatibility for transformer models and the other is a Wan2.2 meta-tensor load failure. Not the same concrete bug." + }, + { + "left": "issue:11010", + "right": "issue:11045", + "accept": false, + "reason": "One is a feature/support request for Chroma Flux architecture changes; the other is a crash in train_dreambooth_lora_flux. Different intents and issues." + }, + { + "left": "issue:2507", + "right": "issue:4217", + "accept": false, + "reason": "Both mention slow safetensors loading, but one is specifically GPU slower than CPU while the other is a generic slow-loading report. Not enough evidence of the same bug." + }, + { + "left": "issue:12113", + "right": "issue:12329", + "accept": false, + "reason": "One is a channel mismatch crash in WanImageToVideoPipeline; the other is wrong model-version loading (Wan2.1 vs Wan2.2). Different bugs." + }, + { + "left": "issue:3826", + "right": "issue:5474", + "accept": false, + "reason": "These are separate new-pipeline proposals for different modalities and use cases." + }, + { + "left": "issue:12575", + "right": "issue:13043", + "accept": false, + "reason": "One is an attention-backend checks error; the other is a no-kernel-image failure on RTX 5090 with sage_hub attention backend. Related area, different concrete failure." + }, + { + "left": "issue:7056", + "right": "issue:7133", + "accept": false, + "reason": "One is a training_text_encoder error in SDXL LoRA finetuning; the other is a text-encoder size mismatch when resuming DreamBooth LoRA training. Different scenarios." + }, + { + "left": "issue:6758", + "right": "issue:6964", + "accept": false, + "reason": "InstantID num_images_per_prompt support and 4-channel UNet incompatibility are unrelated pipeline bugs." + }, + { + "left": "issue:1604", + "right": "issue:4936", + "accept": false, + "reason": "One is broken lpw_stable_diffusion.py on diffusers 0.9.0; the other is DreamBooth LoRA resume broken since 0.19.0. Different regressions." + }, + { + "left": "issue:1876", + "right": "issue:1979", + "accept": false, + "reason": "Both are model conversion issues, but one is about checkpoints missing state_dict and the other is a general SD-to-diffusers conversion failure. Not the same underlying bug." + }, + { + "left": "issue:5934", + "right": "issue:6096", + "accept": false, + "reason": "A general torch.compile error and an SVD-specific DynamicOutputShapeException are not the same bug." + }, + { + "left": "issue:4185", + "right": "issue:5689", + "accept": false, + "reason": "Black SDXL ControlNet outputs and residual noise in DPM++ are different generation-quality problems with different likely causes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 129, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10282", + "issue:10514", + "issue:10891", + "issue:11006", + "issue:11133", + "issue:11208", + "issue:11314", + "issue:11321", + "issue:12003", + "issue:12334", + "issue:1865", + "issue:2015", + "issue:2412", + "issue:3174", + "issue:3585", + "issue:3613", + "issue:4185", + "issue:4368", + "issue:4697", + "issue:4788", + "issue:5442", + "issue:5596", + "issue:5621", + "issue:6028", + "issue:6131", + "issue:6481", + "issue:6545", + "issue:6552", + "issue:6741", + "issue:6870", + "issue:7197", + "issue:7418", + "issue:7441", + "issue:7735", + "issue:7945", + "issue:7974", + "issue:7991", + "issue:8182", + "issue:858", + "issue:8732", + "issue:8885", + "issue:8955", + "issue:9045", + "issue:9343", + "issue:9476", + "issue:9913", + "issue:9927", + "issue:9971" + ], + "soft_pairs": [ + "issue:11314|issue:11321", + "issue:2015|issue:5442", + "issue:3174|issue:3585", + "issue:4697|issue:8885", + "issue:10891|issue:9476", + "issue:8182|issue:858", + "issue:5596|issue:8732", + "issue:10514|issue:11208", + "issue:6131|issue:7974", + "issue:10282|issue:9045", + "issue:1865|issue:2412", + "issue:6545|issue:6552", + "issue:7197|issue:9927", + "issue:7735|issue:9971", + "issue:11006|issue:11133", + "issue:3613|issue:4368", + "issue:6481|issue:6741", + "issue:6870|issue:7945", + "issue:8955|issue:9343", + "issue:12003|issue:12334", + "issue:4185|issue:5621", + "issue:4788|issue:6028", + "issue:7418|issue:7991", + "issue:7441|issue:9913" + ], + "prepared_review_unit_hash": "246f7c4a0719f545d3e054aa4f5a696463652205bc045e3ab5074c62032bb127", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33964, + "estimated_input_tokens": 8491, + "estimated_eval_tokens": 17238 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The candidate pairs mostly share only broad keywords (LoRA, ControlNet, training, OOM, loading) but describe different models, pipelines, or error modes. I would reject all soft edges; there is no clear single duplicate cluster here and no strong canonical issue/PR emerges from the set.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11314", + "right": "issue:11321", + "accept": false, + "reason": "One is a controlnet training-script logic bug, the other is a README/documentation problem; different artifact types and likely different fixes." + }, + { + "left": "issue:2015", + "right": "issue:5442", + "accept": false, + "reason": "Different features and pipelines: categorical diffusion vs ScaleCrafter higher-resolution generation." + }, + { + "left": "issue:3174", + "right": "issue:3585", + "accept": false, + "reason": "Both mention LoRA, but one is a model-loading regression in LoRA/dreambooth and the other is a failed LoRA synthesis workflow; not the same concrete bug." + }, + { + "left": "issue:4697", + "right": "issue:8885", + "accept": false, + "reason": "Both involve LoRA/token loading, but one is a specific LoRA loading regression after an update and the other is a Custom Diffusion example dependency/token issue." + }, + { + "left": "issue:10891", + "right": "issue:9476", + "accept": false, + "reason": "Both are dtype-related, but they affect different code paths and symptoms: DCAE bfloat16 conversion vs FLUX validation input/bias mismatch." + }, + { + "left": "issue:8182", + "right": "issue:858", + "accept": false, + "reason": "Completely unrelated errors: a logger typo versus a missing Parameter.named_children attribute." + }, + { + "left": "issue:5596", + "right": "issue:8732", + "accept": false, + "reason": "Different failure modes and scripts: a dataset/image-caption build error vs checkpoint-saving issue during advanced training." + }, + { + "left": "issue:10514", + "right": "issue:11208", + "accept": false, + "reason": "Different subsystems: Sana resolution binning/sample_size support vs SD3 ControlNet inpainting MultiControlNet support." + }, + { + "left": "issue:6131", + "right": "issue:7974", + "accept": false, + "reason": "Both mention IP-Adapter, but one is IP Adapter Plus not working and the other is an inpaint face/style use case; not clearly the same bug." + }, + { + "left": "issue:10282", + "right": "issue:9045", + "accept": false, + "reason": "A state-dict shape mismatch on x_embedder is a different problem from CUDA conversion with accelerate/peft." + }, + { + "left": "issue:1865", + "right": "issue:2412", + "accept": false, + "reason": "Different training paths and errors: DeepSpeed ZeRO stage3 dimension mismatch vs DreamBooth generic error." + }, + { + "left": "issue:6545", + "right": "issue:6552", + "accept": false, + "reason": "Both are tracker issues for examples, but they target different problems: modularized inference vs FP16 resume training." + }, + { + "left": "issue:7197", + "right": "issue:9927", + "accept": false, + "reason": "Different models and symptoms: resuming local SD1.5 training keyerror vs SDv3 controlnet header size error." + }, + { + "left": "issue:7735", + "right": "issue:9971", + "accept": false, + "reason": "A missing dataset column in training is unrelated to FLUX scheduler incompatibility." + }, + { + "left": "issue:11006", + "right": "issue:11133", + "accept": false, + "reason": "Both are video pipelines, but they involve different models and failure modes; not the same underlying code-path bug." + }, + { + "left": "issue:3613", + "right": "issue:4368", + "accept": false, + "reason": "Both are OOM reports, but on different training scripts/models and not the same concrete memory bug." + }, + { + "left": "issue:6481", + "right": "issue:6741", + "accept": false, + "reason": "DreamBooth batch-size failure and Diffusion DPO missing no_flip are unrelated script issues." + }, + { + "left": "issue:6870", + "right": "issue:7945", + "accept": false, + "reason": "A missing VAE tiling API in SD pipelines is unrelated to combining community pipelines." + }, + { + "left": "issue:8955", + "right": "issue:9343", + "accept": false, + "reason": "Different loading failures on different model classes and conditions; same broad theme, but not the same bug." + }, + { + "left": "issue:12003", + "right": "issue:12334", + "accept": false, + "reason": "Meta-tensor device-move failure and xformers attention enablement are unrelated issues." + }, + { + "left": "issue:4185", + "right": "issue:5621", + "accept": false, + "reason": "Both touch SDXL ControlNet, but one is black-image inference and the other is unsupported encoder_hid_proj; too different to merge." + }, + { + "left": "issue:4788", + "right": "issue:6028", + "accept": false, + "reason": "Both are OOMs, but for different models and contexts; not a duplicate." + }, + { + "left": "issue:7418", + "right": "issue:7991", + "accept": false, + "reason": "A community upscale pipeline bug and the basic training tutorial bug are unrelated." + }, + { + "left": "issue:7441", + "right": "issue:9913", + "accept": false, + "reason": "pytest/python3.12 compatibility and set_lora_device behavior are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 130, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10281", + "issue:10282", + "issue:10533", + "issue:10928", + "issue:1127", + "issue:11989", + "issue:1434", + "issue:1445", + "issue:1538", + "issue:2052", + "issue:2163", + "issue:2783", + "issue:2838", + "issue:307", + "issue:3233", + "issue:3284", + "issue:3428", + "issue:3453", + "issue:3612", + "issue:4037", + "issue:4109", + "issue:4185", + "issue:4353", + "issue:4356", + "issue:4453", + "issue:4733", + "issue:4826", + "issue:5224", + "issue:5540", + "issue:5607", + "issue:5630", + "issue:5757", + "issue:6252", + "issue:6333", + "issue:6382", + "issue:7306", + "issue:7480", + "issue:8414", + "issue:8540", + "issue:8729", + "issue:9047", + "issue:9051", + "issue:9063", + "issue:9101", + "issue:9178", + "issue:9911", + "issue:9996" + ], + "soft_pairs": [ + "issue:8540|issue:9101", + "issue:1434|issue:5540", + "issue:3428|issue:6382", + "issue:1538|issue:4109", + "issue:2163|issue:3453", + "issue:4037|issue:4826", + "issue:2052|issue:6252", + "issue:10281|issue:8414", + "issue:3233|issue:4453", + "issue:4185|issue:8729", + "issue:5224|issue:5607", + "issue:1127|issue:1445", + "issue:10282|issue:9996", + "issue:10928|issue:4356", + "issue:2783|issue:3612", + "issue:2838|issue:307", + "issue:2052|issue:5757", + "issue:6333|issue:9063", + "issue:4353|issue:5630", + "issue:7306|issue:7480", + "issue:9047|issue:9051", + "issue:9178|issue:9911", + "issue:10533|issue:11989", + "issue:3284|issue:4733" + ], + "prepared_review_unit_hash": "06fbed35673971ec1df221b6cd2261a3149c10ee4a86eb72152e920317590679", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33843, + "estimated_input_tokens": 8461, + "estimated_eval_tokens": 17178 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is highly heterogeneous: it mixes feature requests, training-script bugs, loading errors, and model-specific runtime failures across unrelated pipelines. None of the soft-similarity pairs look like the same underlying issue/change, so I would not merge any of them as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue stands out: the items span unrelated models, pipelines, and failure modes rather than one shared bug or request.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue for duplicate triage here; the cluster is too mixed for any one issue to serve as a representative duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8540", + "right": "issue:9101", + "accept": false, + "reason": "Different requests: SD3 dreambooth embedding/VAE caching vs adding an InstructPix2Pix training script." + }, + { + "left": "issue:1434", + "right": "issue:5540", + "accept": false, + "reason": "Both mention OOM, but the contexts differ: upscale pipeline at larger sizes vs generic inference OOM." + }, + { + "left": "issue:3428", + "right": "issue:6382", + "accept": false, + "reason": "Img2Img pipeline change bug vs IP-adapter key error in LCM SDXL training/inference; not the same code path." + }, + { + "left": "issue:1538", + "right": "issue:4109", + "accept": false, + "reason": "Different pipelines and failures: StableDiffusionMegaPipeline with SD2-base vs SDXL inpaint not working." + }, + { + "left": "issue:2163", + "right": "issue:3453", + "accept": false, + "reason": "Separate training failures: UNet dtype mismatch vs BFloat16 CUDA kernel not implemented." + }, + { + "left": "issue:4037", + "right": "issue:4826", + "accept": false, + "reason": "ControlNet-related, but one is FSDP validation errors and the other is MultiControlNet reference errors." + }, + { + "left": "issue:2052", + "right": "issue:6252", + "accept": false, + "reason": "Checkpoint resume problems in different scripts: textual inversion vs LoRA weight loading." + }, + { + "left": "issue:10281", + "right": "issue:8414", + "accept": false, + "reason": "A new scheduler request is not the same as a new text-to-audio model announcement." + }, + { + "left": "issue:3233", + "right": "issue:4453", + "accept": false, + "reason": "Both involve LoRA conversion, but one is a general conversion request and the other is about compatibility with AUTO1111 for SDXL LoRAs." + }, + { + "left": "issue:4185", + "right": "issue:8729", + "accept": false, + "reason": "Black-image inference bug vs unexpected validation image during training; different symptoms and likely causes." + }, + { + "left": "issue:5224", + "right": "issue:5607", + "accept": false, + "reason": "Unrelated errors: Flax SD 2.1 failure vs a tensor dimension mismatch." + }, + { + "left": "issue:1127", + "right": "issue:1445", + "accept": false, + "reason": "Different subsystems and failures: ONNX/DML import traceback vs legacy inpaint AttributeError." + }, + { + "left": "issue:10282", + "right": "issue:9996", + "accept": false, + "reason": "Both are Flux loading issues, but one is an x_embedder shape mismatch and the other is NF4 transformer loading support." + }, + { + "left": "issue:10928", + "right": "issue:4356", + "accept": false, + "reason": "Missing fp16 checkpoint file vs missing dummy module; unrelated errors." + }, + { + "left": "issue:2783", + "right": "issue:3612", + "accept": false, + "reason": "Both touch ControlNet, but one asks for an img2img/inpaint pipeline and the other asks for a model-free ControlNet setup." + }, + { + "left": "issue:2838", + "right": "issue:307", + "accept": false, + "reason": "A ControlNet-pipeline usage request is not the same as merging all Stable Diffusion pipelines into one." + }, + { + "left": "issue:2052", + "right": "issue:5757", + "accept": false, + "reason": "Different resume-from-checkpoint bugs in different training scripts and model types." + }, + { + "left": "issue:6333", + "right": "issue:9063", + "accept": false, + "reason": "PEFT LoRA fine-tuning request vs Flux tokenizer instantiation error; not the same underlying bug." + }, + { + "left": "issue:4353", + "right": "issue:5630", + "accept": false, + "reason": "Both concern SDXL quality, but one is generic poor output quality and the other is LMS scheduler residual noise in Img2Img." + }, + { + "left": "issue:7306", + "right": "issue:7480", + "accept": false, + "reason": "Different problems: float16 support in LEditsPPPipelineStableDiffusionXL vs DeepFloyd IF OOM." + }, + { + "left": "issue:9047", + "right": "issue:9051", + "accept": false, + "reason": "MPS device incompatibility is unrelated to batch inference support in FluxPipeline." + }, + { + "left": "issue:9178", + "right": "issue:9911", + "accept": false, + "reason": "Flux LoRA target-module errors and Flux multi-ControlNet layer-length errors are distinct failure modes." + }, + { + "left": "issue:10533", + "right": "issue:11989", + "accept": false, + "reason": "Both are black-image reports, but they concern different models/features and do not look like one concrete bug." + }, + { + "left": "issue:3284", + "right": "issue:4733", + "accept": false, + "reason": "Dreambooth LoRA accelerate failure vs checkpoint-resume optimizer error; different points of failure." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 131, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10337", + "issue:10612", + "issue:1076", + "issue:11160", + "issue:11258", + "issue:11418", + "issue:11581", + "issue:1188", + "issue:11922", + "issue:12329", + "issue:13008", + "issue:1305", + "issue:13105", + "issue:13232", + "issue:1445", + "issue:1851", + "issue:2695", + "issue:2776", + "issue:3391", + "issue:3451", + "issue:3613", + "issue:3812", + "issue:3885", + "issue:3984", + "issue:4885", + "issue:5004", + "issue:5025", + "issue:5442", + "issue:5798", + "issue:5917", + "issue:5931", + "issue:6252", + "issue:6336", + "issue:7237", + "issue:7306", + "issue:7341", + "issue:7432", + "issue:7722", + "issue:8708", + "issue:8922", + "issue:8970", + "issue:9148", + "issue:9167", + "issue:9171", + "issue:9665", + "issue:9861", + "issue:987", + "issue:9873" + ], + "soft_pairs": [ + "issue:1305|issue:5442", + "issue:2776|issue:3984", + "issue:5004|issue:8708", + "issue:5025|issue:9167", + "issue:5931|issue:9171", + "issue:9148|issue:9873", + "issue:9665|issue:9861", + "issue:11160|issue:13105", + "issue:1445|issue:5917", + "issue:3391|issue:987", + "issue:4885|issue:6252", + "issue:6336|issue:7722", + "issue:8922|issue:8970", + "issue:2695|issue:3812", + "issue:1076|issue:1188", + "issue:13008|issue:13232", + "issue:7237|issue:7341", + "issue:11258|issue:12329", + "issue:1851|issue:3613", + "issue:11581|issue:5798", + "issue:7306|issue:7432", + "issue:3451|issue:3885", + "issue:10337|issue:10612", + "issue:11418|issue:11922" + ], + "prepared_review_unit_hash": "e18f480678bd3ebeccc0dde42a422c31a95344192b9a455797411995a00decb8", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33996, + "estimated_input_tokens": 8499, + "estimated_eval_tokens": 17254 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No strong duplicate cluster emerges here; the items span many unrelated bugs, regressions, and feature requests. The soft pairs are mostly broad topical similarities rather than the same underlying issue.", + "confidence": 0.9, + "canonical_issue_reason": "Issue 11581 is the most concrete and actionable Flux-related bug in the set, with an explicit traceback and a clear adapter-loading failure mode.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11581 is the best single issue to anchor this set because it states a specific Flux/IP-Adapter failure and likely attracts the most relevant fix discussion.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1305", + "right": "issue:5442", + "accept": false, + "reason": "Both are diffusion-model papers/features, but they describe different pipelines and problems with no shared code-path bug." + }, + { + "left": "issue:2776", + "right": "issue:3984", + "accept": false, + "reason": "One is Dreambooth/DeepSpeed setup, the other is a class-label validation error; same training area but not the same defect." + }, + { + "left": "issue:5004", + "right": "issue:8708", + "accept": false, + "reason": "Checkpoint resume fp16 and missing SD3 shift_factor are distinct training issues." + }, + { + "left": "issue:5025", + "right": "issue:9167", + "accept": false, + "reason": "Both are import errors, but for different symbols and different API surfaces." + }, + { + "left": "issue:5931", + "right": "issue:9171", + "accept": false, + "reason": "Determinism concerns are unrelated to the v_prediction single-file regression." + }, + { + "left": "issue:9148", + "right": "issue:9873", + "accept": false, + "reason": "Both are feature requests for adding pipelines, but for different models and no shared change request." + }, + { + "left": "issue:9665", + "right": "issue:9861", + "accept": false, + "reason": "Training/accelerator behavior is too broad here; one is DeepSpeed config interaction, the other is Flux transformer not updating." + }, + { + "left": "issue:11160", + "right": "issue:13105", + "accept": false, + "reason": "Both involve Wan models, but one is inconsistent inference in I2V and the other is noisy T2V output." + }, + { + "left": "issue:1445", + "right": "issue:5917", + "accept": false, + "reason": "Different pipeline/version breakages with unrelated error modes." + }, + { + "left": "issue:3391", + "right": "issue:987", + "accept": false, + "reason": "Both mention bad image outputs, but the models, modalities, and symptoms differ." + }, + { + "left": "issue:4885", + "right": "issue:6252", + "accept": false, + "reason": "Both concern LoRA loading, but in different contexts and failure points; not clearly the same bug." + }, + { + "left": "issue:6336", + "right": "issue:7722", + "accept": false, + "reason": "TensorRT VAE compilation with AutoencoderTiny is unrelated to AnimateDiff ControlNet/IP-Adapter runtime errors." + }, + { + "left": "issue:8922", + "right": "issue:8970", + "accept": false, + "reason": "Both produce black images, but they are different models and likely different root causes." + }, + { + "left": "issue:2695", + "right": "issue:3812", + "accept": false, + "reason": "Validation TensorBoard failure and missing controlnet config are unrelated training/config issues." + }, + { + "left": "issue:1076", + "right": "issue:1188", + "accept": false, + "reason": "These are completely unrelated model/pipeline topics." + }, + { + "left": "issue:13008", + "right": "issue:13232", + "accept": false, + "reason": "Both are support requests, but they target different FLUX/LTX features and do not share a concrete bug." + }, + { + "left": "issue:7237", + "right": "issue:7341", + "accept": false, + "reason": "Scheduler lookup and TorchVersion comparison errors are different code paths and different failures." + }, + { + "left": "issue:11258", + "right": "issue:12329", + "accept": false, + "reason": "Both involve single-file model loading, but for different model families and different misclassification/loading logic." + }, + { + "left": "issue:1851", + "right": "issue:3613", + "accept": false, + "reason": "Performance slowdown and out-of-memory are not the same bug." + }, + { + "left": "issue:11581", + "right": "issue:5798", + "accept": false, + "reason": "Both are TypeError-style failures, but they involve different classes, arguments, and subsystems." + }, + { + "left": "issue:7306", + "right": "issue:7432", + "accept": false, + "reason": "Float16 usage failure in one pipeline is unrelated to output mismatch versus WebUI in another." + }, + { + "left": "issue:3451", + "right": "issue:3885", + "accept": false, + "reason": "One reports fp16 memory regression, the other asks for VRAM reduction advice; same topic but not the same issue." + }, + { + "left": "issue:10337", + "right": "issue:10612", + "accept": false, + "reason": "Both are Flux quantized-loading problems, but one is IP-Adapter failure and the other is LoRA loading into NF4 Flux Fill; too different to merge." + }, + { + "left": "issue:11418", + "right": "issue:11922", + "accept": false, + "reason": "Both mention Flux.1-Fill-dev, but one is about adding a specific fp8 file and the other is a running problem; not the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 132, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10147", + "issue:10540", + "issue:1076", + "issue:10866", + "issue:11088", + "issue:11092", + "issue:11561", + "issue:11581", + "issue:11878", + "issue:11978", + "issue:1261", + "issue:12666", + "issue:13043", + "issue:13142", + "issue:1392", + "issue:1574", + "issue:1657", + "issue:1734", + "issue:1934", + "issue:2053", + "issue:2107", + "issue:228", + "issue:2420", + "issue:2480", + "issue:2495", + "issue:259", + "issue:3065", + "issue:3325", + "issue:3468", + "issue:4080", + "issue:4269", + "issue:4427", + "issue:4542", + "issue:4830", + "issue:4880", + "issue:5769", + "issue:6928", + "issue:7185", + "issue:7405", + "issue:7931", + "issue:8414", + "issue:8626", + "issue:8667", + "issue:9069", + "issue:9366", + "issue:964", + "issue:9744" + ], + "soft_pairs": [ + "issue:11978|issue:8414", + "issue:12666|issue:13142", + "issue:1574|issue:1734", + "issue:2107|issue:2495", + "issue:228|issue:259", + "issue:4830|issue:8667", + "issue:5769|issue:7185", + "issue:7405|issue:9744", + "issue:1261|issue:964", + "issue:11088|issue:11878", + "issue:2420|issue:3325", + "issue:10147|issue:11561", + "issue:4080|issue:6928", + "issue:11092|issue:9366", + "issue:1934|issue:2053", + "issue:2480|issue:3468", + "issue:10866|issue:13043", + "issue:4427|issue:7931", + "issue:4542|issue:8626", + "issue:10010|issue:10540", + "issue:1076|issue:1392", + "issue:11581|issue:9069", + "issue:1657|issue:3065", + "issue:4269|issue:4880" + ], + "prepared_review_unit_hash": "8d6b2fbdc446cac84010872b91813c22ff3eb227b9815744a9129f718b8d9333", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34196, + "estimated_input_tokens": 8549, + "estimated_eval_tokens": 17354 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is heterogeneous; most soft pairs share only broad subsystem/model keywords, not the same concrete bug or change. I would reject all soft edges and treat this as no clear duplicate cluster.", + "confidence": 0.87, + "canonical_issue_reason": "No single canonical issue stands out: the items are mostly unrelated bug reports and feature requests, with no accepted duplicate thread to anchor the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue for duplicate triage; none of these should absorb the others as a canonical duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11978", + "right": "issue:8414", + "accept": false, + "reason": "Different new-model requests (text-to-image vs text-to-audio); no shared bug or change." + }, + { + "left": "issue:12666", + "right": "issue:13142", + "accept": false, + "reason": "Both are loading/version complaints, but they involve different pipelines and different transformer-related failures." + }, + { + "left": "issue:1574", + "right": "issue:1734", + "accept": false, + "reason": "Both mention DreamBooth, but one is a low-memory training failure and the other is multi-GPU slowdown." + }, + { + "left": "issue:2107", + "right": "issue:2495", + "accept": false, + "reason": "Both mention black/glitchy output, but the trigger and code path differ (low-resolution generation vs MPS upscale)." + }, + { + "left": "issue:228", + "right": "issue:259", + "accept": false, + "reason": "A broken release link and a progress-bar fix are unrelated issues." + }, + { + "left": "issue:4830", + "right": "issue:8667", + "accept": false, + "reason": "Both are tensor-shape bugs in ControlNet, but they affect different models and different image-shape conditions." + }, + { + "left": "issue:5769", + "right": "issue:7185", + "accept": false, + "reason": "Mixed-precision training question vs PyTorch version support question; not the same bug." + }, + { + "left": "issue:7405", + "right": "issue:9744", + "accept": false, + "reason": "Separate new-model requests with no shared implementation defect." + }, + { + "left": "issue:1261", + "right": "issue:964", + "accept": false, + "reason": "xFormers backward-pass CUDA assert vs inpainting example failure; different code paths." + }, + { + "left": "issue:11088", + "right": "issue:11878", + "accept": false, + "reason": "Same Wan/GGUF family, but different model classes and failure details; likely separate fixes." + }, + { + "left": "issue:2420", + "right": "issue:3325", + "accept": false, + "reason": "Different training scripts and distinct runtime errors." + }, + { + "left": "issue:10147", + "right": "issue:11561", + "accept": false, + "reason": "Different adapter feature requests for different pipelines, not the same bug." + }, + { + "left": "issue:4080", + "right": "issue:6928", + "accept": false, + "reason": "Inpainting pipeline request vs Marigold depthmap colorization option; unrelated." + }, + { + "left": "issue:11092", + "right": "issue:9366", + "accept": false, + "reason": "Both are img2img step/strength edge cases, but they target different schedulers/pipelines and do not clearly share one fix." + }, + { + "left": "issue:1934", + "right": "issue:2053", + "accept": false, + "reason": "Both concern memory usage, but one is cpu_offload VRAM growth and the other is a general VRAM regression." + }, + { + "left": "issue:2480", + "right": "issue:3468", + "accept": false, + "reason": "Both are DreamBooth output-structure problems, but missing per-checkpoint unet folders and missing model_index.json are different failures." + }, + { + "left": "issue:10866", + "right": "issue:13043", + "accept": false, + "reason": "A Lumina LoRA compatibility issue and an RTX 5090 kernel-image error are unrelated." + }, + { + "left": "issue:4427", + "right": "issue:7931", + "accept": false, + "reason": "Different adapter integrations: MultiAdapter example vs IP-Adapter embeddings in SDXL inpaint." + }, + { + "left": "issue:4542", + "right": "issue:8626", + "accept": false, + "reason": "Output-count limitation vs guidance docs for multiple IP-Adapter images/masks; not the same underlying bug." + }, + { + "left": "issue:10010", + "right": "issue:10540", + "accept": false, + "reason": "Both are Flux Fill-related, but one is a missing model repo file and the other is a from_single_file regression after Flux Fill support was added." + }, + { + "left": "issue:1076", + "right": "issue:1392", + "accept": false, + "reason": "Very different Stable Diffusion topics from different eras; not duplicates." + }, + { + "left": "issue:11581", + "right": "issue:9069", + "accept": false, + "reason": "Different error domains: FLUX IP-Adapter dtype handling vs a numpy ndarray type mismatch." + }, + { + "left": "issue:1657", + "right": "issue:3065", + "accept": false, + "reason": "A notebook request and a DreamBooth LoRA training option are unrelated." + }, + { + "left": "issue:4269", + "right": "issue:4880", + "accept": false, + "reason": "Both involve ControlNet input validation, but they are distinct API errors with different triggers." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 133, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10591", + "issue:11864", + "issue:11978", + "issue:12107", + "issue:13107", + "issue:13249", + "issue:13261", + "issue:13484", + "issue:1566", + "issue:2375", + "issue:2606", + "issue:2856", + "issue:4109", + "issue:4265", + "issue:4286", + "issue:4398", + "issue:4530", + "issue:4551", + "issue:4598", + "issue:4925", + "issue:4974", + "issue:5023", + "issue:5433", + "issue:5488", + "issue:5509", + "issue:5515", + "issue:5544", + "issue:5743", + "issue:5894", + "issue:6481", + "issue:6794", + "issue:7021", + "issue:7347", + "issue:7431", + "issue:7681", + "issue:8557", + "issue:8871", + "issue:9042", + "issue:9089", + "issue:9109", + "issue:9112", + "issue:9164", + "issue:9393", + "issue:9454", + "issue:9497", + "issue:9546", + "issue:9613" + ], + "soft_pairs": [ + "issue:4109|issue:4286", + "issue:7431|issue:9497", + "issue:13249|issue:13261", + "issue:11864|issue:2375", + "issue:4598|issue:9109", + "issue:11978|issue:9042", + "issue:5544|issue:7681", + "issue:6481|issue:9393", + "issue:1566|issue:4551", + "issue:12107|issue:9613", + "issue:5488|issue:5509", + "issue:10591|issue:8557", + "issue:2856|issue:4974", + "issue:4265|issue:6794", + "issue:4398|issue:4530", + "issue:4925|issue:9546", + "issue:9089|issue:9454", + "issue:2606|issue:5743", + "issue:13107|issue:13484", + "issue:5023|issue:7021", + "issue:5433|issue:5515", + "issue:5894|issue:9112", + "issue:9164|issue:9393", + "issue:7347|issue:8871" + ], + "prepared_review_unit_hash": "dbdc4f97bb27d87d511543668ca2f641fed2235ec7d58e48be1ae6e870ab8fb0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33471, + "estimated_input_tokens": 8368, + "estimated_eval_tokens": 16992 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a loose topical cluster around diffusers training/pipeline bugs, but the soft pairs describe different models, error modes, and feature requests. None of the pairs look like true duplicates or the same fixable code-path issue, so all soft edges should be rejected. No PRs are present.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:13261 is the strongest representative issue in the set because it has the richest discussion and the clearest concrete regression around Flux.2-klein-9B LoRA/lokr behavior.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4109", + "right": "issue:4286", + "accept": false, + "reason": "Both are SDXL/LoRA-related, but one is an inpaint pipeline failure and the other is a load_lora_weights issue; different concrete bugs." + }, + { + "left": "issue:7431", + "right": "issue:9497", + "accept": false, + "reason": "Both mention training with text encoders, but one is Dreambooth DoRA issues and the other is a Flux mat2 shape error; not the same underlying failure." + }, + { + "left": "issue:13249", + "right": "issue:13261", + "accept": false, + "reason": "Both concern Flux/Z-Image LoRA breakage, but they target different models and error contexts; not clearly one duplicate bug." + }, + { + "left": "issue:11864", + "right": "issue:2375", + "accept": false, + "reason": "Different NameError sites and code paths: AutoencoderDC.compile vs safe_open import; only superficially similar runtime errors." + }, + { + "left": "issue:4598", + "right": "issue:9109", + "accept": false, + "reason": "Both are import/dependency issues, but one is generic dependency messaging and the other is a missing torchvision operator; distinct problems." + }, + { + "left": "issue:11978", + "right": "issue:9042", + "accept": false, + "reason": "A pipeline request for Bria 3.2 and a Flux pipeline add request are different model integrations, not duplicates." + }, + { + "left": "issue:5544", + "right": "issue:7681", + "accept": false, + "reason": "One is a FreeU disable error in SDXL; the other is an environment/library import failure from OpenSSL/crypto. Different causes." + }, + { + "left": "issue:6481", + "right": "issue:9393", + "accept": false, + "reason": "Both are training failures, but one is batch-size handling in Dreambooth and the other is Deepspeed save-model on Flux; not the same bug." + }, + { + "left": "issue:1566", + "right": "issue:4551", + "accept": false, + "reason": "Both are Dreambooth crashes, but one is fp16 checkpoint saving and the other is an SDXL base model crash; different failure points." + }, + { + "left": "issue:12107", + "right": "issue:9613", + "accept": false, + "reason": "An accelerator tracker input-type error and a Timesteps.scale attribute error are unrelated runtime issues." + }, + { + "left": "issue:5488", + "right": "issue:5509", + "accept": false, + "reason": "A demo image-generation failure and an image/prompt batch-size mismatch are not the same concrete bug." + }, + { + "left": "issue:10591", + "right": "issue:8557", + "accept": false, + "reason": "SD3 LoRA training script concerns and SD3 token-limit training concerns are different problems." + }, + { + "left": "issue:2856", + "right": "issue:4974", + "accept": false, + "reason": "Both mention conversion to diffusers, but one is SD model conversion in general and the other is safetensor-to-diffusers conversion; insufficiently specific to be duplicates." + }, + { + "left": "issue:4265", + "right": "issue:6794", + "accept": false, + "reason": "Both are import errors, but they involve different symbols, modules, and failure conditions." + }, + { + "left": "issue:4398", + "right": "issue:4530", + "accept": false, + "reason": "Both involve image artifacts, but one is black images from an SDXL LoRA-dreambooth pipeline and the other is small RGB artifacts from the refiner; different symptom and path." + }, + { + "left": "issue:4925", + "right": "issue:9546", + "accept": false, + "reason": "Both are memory issues during training/validation, but they affect different Flux ControlNet scenarios and likely different code paths." + }, + { + "left": "issue:9089", + "right": "issue:9454", + "accept": false, + "reason": "A missing Flux pipeline class and a missing CogVideoX Image2Video model are separate model-registration issues." + }, + { + "left": "issue:2606", + "right": "issue:5743", + "accept": false, + "reason": "Both are training hangs, but one is DeepSpeed save_state deadlock and the other is LCD training stuck at 0%; not enough to treat as the same bug." + }, + { + "left": "issue:13107", + "right": "issue:13484", + "accept": false, + "reason": "Both are LoRA loading problems on Flux-family models, but one is missing key errors for Flux Klein LoRA and the other is FAL lora loading failure on Flux 2 dev." + }, + { + "left": "issue:5023", + "right": "issue:7021", + "accept": false, + "reason": "A pipeline import error and an HF_HOME-related import error are unrelated." + }, + { + "left": "issue:5433", + "right": "issue:5515", + "accept": false, + "reason": "One is SDXL visual artifacts with DPM++ schedulers; the other is LCM pipeline initialization failure without scheduler. Different concrete issues." + }, + { + "left": "issue:5894", + "right": "issue:9112", + "accept": false, + "reason": "An invalid buffer size runtime error and an Auraflow tensor shape mismatch are distinct runtime failures." + }, + { + "left": "issue:9164", + "right": "issue:9393", + "accept": false, + "reason": "Both involve Flux LoRA training, but one is non-convergence on an example and the other is a Deepspeed model-saving failure." + }, + { + "left": "issue:7347", + "right": "issue:8871", + "accept": false, + "reason": "Both are LoRA training regressions, but one is a latest-update training failure and the other is FP16 unscale gradient errors; not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 134, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10239", + "issue:10453", + "issue:10674", + "issue:10797", + "issue:10863", + "issue:11436", + "issue:1475", + "issue:1534", + "issue:1931", + "issue:2577", + "issue:3111", + "issue:3174", + "issue:3418", + "issue:3468", + "issue:3595", + "issue:3623", + "issue:3661", + "issue:3700", + "issue:3876", + "issue:4236", + "issue:4321", + "issue:435", + "issue:4427", + "issue:4593", + "issue:4911", + "issue:4975", + "issue:5044", + "issue:5509", + "issue:5963", + "issue:6176", + "issue:6506", + "issue:6560", + "issue:6815", + "issue:6974", + "issue:7033", + "issue:7168", + "issue:7348", + "issue:7483", + "issue:761", + "issue:8287", + "issue:8922", + "issue:9007", + "issue:9051", + "issue:9069", + "issue:9136", + "issue:9914", + "issue:9971" + ], + "soft_pairs": [ + "issue:3468|issue:3700", + "issue:10239|issue:10453", + "issue:1475|issue:761", + "issue:3111|issue:3418", + "issue:1931|issue:4427", + "issue:10674|issue:9051", + "issue:4236|issue:6974", + "issue:4911|issue:8287", + "issue:5044|issue:5963", + "issue:10674|issue:7483", + "issue:10863|issue:9914", + "issue:6176|issue:6560", + "issue:3174|issue:4975", + "issue:3623|issue:4593", + "issue:3595|issue:3661", + "issue:6815|issue:9007", + "issue:11436|issue:9069", + "issue:3876|issue:7348", + "issue:5509|issue:6506", + "issue:2577|issue:7168", + "issue:4321|issue:8922", + "issue:7033|issue:9136", + "issue:10797|issue:9971", + "issue:1534|issue:435" + ], + "prepared_review_unit_hash": "7553a44c352738679fc5373ad88a6f404d860a341f25ffd0a48b746cb48918d0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33339, + "estimated_input_tokens": 8335, + "estimated_eval_tokens": 16926 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of weakly similar but unrelated issue reports across pipelines, LoRA/DreamBooth, loading, scheduler, and dtype bugs. No soft pair looks like the same concrete underlying defect, so none should be merged as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": "Issue 10674 is the broadest representative of the loose model-loading / pipeline-compatibility theme, but the cluster is too heterogeneous for a true duplicate canonical.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10674 is the best single representative of the noisy set because it is a concrete runtime failure in a major pipeline, but it does not unify the other items as duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3468", + "right": "issue:3700", + "accept": false, + "reason": "Both are training-related, but one is about missing model_index.json after DreamBooth and the other about min_snr support in LoRA training; different bugs." + }, + { + "left": "issue:10239", + "right": "issue:10453", + "accept": false, + "reason": "HunyuanVideo offload support and HunyuanVideo batch size limits are separate runtime limitations, not the same defect." + }, + { + "left": "issue:1475", + "right": "issue:761", + "accept": false, + "reason": "DreamBooth/textual inversion class-image handling is unrelated to 8-bit Adam optimizer failures." + }, + { + "left": "issue:3111", + "right": "issue:3418", + "accept": false, + "reason": "Custom conditioning encoder support and adding text-encoder code to the LoRA script are related feature requests, but not the same bug." + }, + { + "left": "issue:1931", + "right": "issue:4427", + "accept": false, + "reason": "Float16 dtype mismatch in SD2 is not the same as the T2I multi-adapter example failing." + }, + { + "left": "issue:10674", + "right": "issue:9051", + "accept": false, + "reason": "Both mention FluxPipeline, but one is GGUF loading and the other is batch inference support; distinct issues." + }, + { + "left": "issue:4236", + "right": "issue:6974", + "accept": false, + "reason": "SDXL refiner text-encoder registration and unloading textual inversion components are different code paths." + }, + { + "left": "issue:4911", + "right": "issue:8287", + "accept": false, + "reason": "Loading a custom text encoder from_single_file and handling text_encoder=None are different failure modes." + }, + { + "left": "issue:5044", + "right": "issue:5963", + "accept": false, + "reason": "Kandinsky 2.2 load failure and Kandinsky 3 prompt-embedding handling are separate model/version bugs." + }, + { + "left": "issue:10674", + "right": "issue:7483", + "accept": false, + "reason": "Flux GGUF loading and SDXL LoRA conversion are unrelated features." + }, + { + "left": "issue:10863", + "right": "issue:9914", + "accept": false, + "reason": "Local safetensors loading errors and Flux Xlabs LoRA loading problems are different issues." + }, + { + "left": "issue:6176", + "right": "issue:6560", + "accept": false, + "reason": "Both involve LoRA, but one is post-DreamBooth LoRA loading and the other is a shape-size regression." + }, + { + "left": "issue:3174", + "right": "issue:4975", + "accept": false, + "reason": "LoRA+DreamBooth loading breakage and repeated datatype-query inefficiency are not the same bug." + }, + { + "left": "issue:3623", + "right": "issue:4593", + "accept": false, + "reason": "Unable to load larger models is a generic capacity/loading complaint, while the other is a specific LoRA rank constraint." + }, + { + "left": "issue:3595", + "right": "issue:3661", + "accept": false, + "reason": "Both concern from_ckpt, but one is a generic failure and the other is specifically SD2 weights; not enough to treat as one bug." + }, + { + "left": "issue:6815", + "right": "issue:9007", + "accept": false, + "reason": "Both end in black output, but the warning/cast path and the DPMSolverSinglestepScheduler order-3 issue appear to have different causes." + }, + { + "left": "issue:11436", + "right": "issue:9069", + "accept": false, + "reason": "Half-vs-bfloat16 dtype mismatch and np.ndarray type confusion are entirely different errors." + }, + { + "left": "issue:3876", + "right": "issue:7348", + "accept": false, + "reason": "Same broad pipeline family, but different scheduler/pipeline behaviors with different symptoms." + }, + { + "left": "issue:5509", + "right": "issue:6506", + "accept": false, + "reason": "Batch-size validation for image inputs is unrelated to StableVideoDiffusion returning a list instead of np.ndarray." + }, + { + "left": "issue:2577", + "right": "issue:7168", + "accept": false, + "reason": "DDIMInverseScheduler problems and IP-Adapter embed shape issues do not share a concrete code-path bug." + }, + { + "left": "issue:4321", + "right": "issue:8922", + "accept": false, + "reason": "Both produce black images, but one is an ONNX DirectML FP16 issue and the other is SD3 quantized T5 zero-output; different causes." + }, + { + "left": "issue:7033", + "right": "issue:9136", + "accept": false, + "reason": "Attention masking warning logs and image-quality degradation at some resolutions are not the same defect." + }, + { + "left": "issue:10797", + "right": "issue:9971", + "accept": false, + "reason": "HunyuanVideo group offloading and FLUX DEIS scheduler behavior are separate model/subsystem problems." + }, + { + "left": "issue:1534", + "right": "issue:435", + "accept": false, + "reason": "Both are notebook training errors, but DreamBooth notebook failure and textual inversion AutoencoderKLOutput attribute error are different bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 135, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10025", + "issue:10954", + "issue:11006", + "issue:11050", + "issue:11418", + "issue:11464", + "issue:1185", + "issue:12037", + "issue:12071", + "issue:12107", + "issue:122", + "issue:1398", + "issue:1475", + "issue:1537", + "issue:1572", + "issue:1672", + "issue:1949", + "issue:2036", + "issue:2107", + "issue:2218", + "issue:2371", + "issue:2552", + "issue:2838", + "issue:2858", + "issue:2991", + "issue:3222", + "issue:3238", + "issue:4101", + "issue:4255", + "issue:4398", + "issue:4476", + "issue:4932", + "issue:4954", + "issue:5510", + "issue:5570", + "issue:5633", + "issue:6351", + "issue:6520", + "issue:6540", + "issue:6686", + "issue:7142", + "issue:7801", + "issue:861", + "issue:8668", + "issue:8729", + "issue:9179", + "issue:9223", + "issue:9717" + ], + "soft_pairs": [ + "issue:3238|issue:861", + "issue:11050|issue:7801", + "issue:2107|issue:4398", + "issue:3222|issue:6686", + "issue:11464|issue:9717", + "issue:4476|issue:8729", + "issue:6520|issue:9179", + "issue:4255|issue:7142", + "issue:5570|issue:9223", + "issue:5510|issue:8668", + "issue:11006|issue:12037", + "issue:10025|issue:12071", + "issue:10954|issue:11418", + "issue:1185|issue:2371", + "issue:12107|issue:6351", + "issue:122|issue:4101", + "issue:1398|issue:1537", + "issue:1475|issue:4954", + "issue:1572|issue:4932", + "issue:1672|issue:2036", + "issue:1949|issue:2552", + "issue:2218|issue:5633", + "issue:2838|issue:2858", + "issue:2991|issue:6540" + ], + "prepared_review_unit_hash": "2ae7712b381ed2e855e8c6e271d8896628e7f7c7c7e668af2b8a6defab088f8c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34162, + "estimated_input_tokens": 8541, + "estimated_eval_tokens": 17338 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a grab bag of unrelated diffusers/Flux/Wan issues rather than a real duplicate cluster. None of the soft pairs look like the same underlying bug or change, so they should stay separate.", + "confidence": 0.78, + "canonical_issue_reason": "No single true canonical issue emerges from this mixed set; if one representative is needed, issue 11464 is the most concrete and self-contained bug report (FluxControlPipeline LoRA loading).", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11464 is the strongest canonical anchor because it describes a specific failing code path with a clear user-visible error, unlike the more generic or symptom-level reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3238", + "right": "issue:861", + "accept": false, + "reason": "Both concern conversion workflows, but one is LoRA safetensor conversion and the other is ckpt-to-diffusers conversion; different code paths and failure modes." + }, + { + "left": "issue:11050", + "right": "issue:7801", + "accept": false, + "reason": "Both mention mixed precision, but one is a training-script dtype cast bug and the other says the model is not actually fp16; not the same concrete defect." + }, + { + "left": "issue:2107", + "right": "issue:4398", + "accept": false, + "reason": "Different symptoms and models: low-resolution/glitchy output after conversion versus all-black SDXL LoRA dreambooth images." + }, + { + "left": "issue:3222", + "right": "issue:6686", + "accept": false, + "reason": "Missing output artifact after training is unrelated to Dynamo compilation performance after save/load." + }, + { + "left": "issue:11464", + "right": "issue:9717", + "accept": false, + "reason": "Both are Flux-related, but one is LoRA loading into FluxControlPipeline and the other is a Flux-dev docker image error; not the same bug." + }, + { + "left": "issue:4476", + "right": "issue:8729", + "accept": false, + "reason": "Both touch SDXL ControlNet training, but one is bad results on fill50k and the other is unexpected validation images in a webdataset script; too different to merge." + }, + { + "left": "issue:6520", + "right": "issue:9179", + "accept": false, + "reason": "Both are training/validation quality complaints, but they involve different scripts and symptoms, so they are not clearly the same bug." + }, + { + "left": "issue:4255", + "right": "issue:7142", + "accept": false, + "reason": "Both compare Diffusers against webui, but the models, pipelines, and observed failures differ." + }, + { + "left": "issue:5570", + "right": "issue:9223", + "accept": false, + "reason": "A missing helper function in a package release is not the same as a dependency version conflict between pyarrow/datasets packages." + }, + { + "left": "issue:5510", + "right": "issue:8668", + "accept": false, + "reason": "Different error classes and pipelines: dtype mismatch in SDXL InstructPix2Pix versus image-size alignment failure in SD3 img2img." + }, + { + "left": "issue:11006", + "right": "issue:12037", + "accept": false, + "reason": "Both are Wan issues, but one is broken I2V output with a quantized transformer and the other is LoRA compatibility in Wan 2.2; separate defects." + }, + { + "left": "issue:10025", + "right": "issue:12071", + "accept": false, + "reason": "Both are Flux transformer issues, but one is about attention masks and the other about changed single-block forward behavior; not the same concrete change." + }, + { + "left": "issue:10954", + "right": "issue:11418", + "accept": false, + "reason": "One is a LoRA failing to load and the other is a question about adding a specific FP8 weights file; not the same problem." + }, + { + "left": "issue:1185", + "right": "issue:2371", + "accept": false, + "reason": "Dreambooth reproducibility problems and missing objects in output are related only loosely; they describe different failure modes." + }, + { + "left": "issue:12107", + "right": "issue:6351", + "accept": false, + "reason": "These are unrelated runtime errors in different subsystems: tracker initialization with custom objects versus DDP lacking disable_adapters." + }, + { + "left": "issue:122", + "right": "issue:4101", + "accept": false, + "reason": "A Python exceptions import error is unrelated to a ControlNet-to-diffusers conversion failure." + }, + { + "left": "issue:1398", + "right": "issue:1537", + "accept": false, + "reason": "Both are Apple MPS reports, but one is about Stable Diffusion 2 generally and the other about specific schedulers; not the same bug." + }, + { + "left": "issue:1475", + "right": "issue:4954", + "accept": false, + "reason": "Training with two class image types and a pickle unpickling error are entirely different issues." + }, + { + "left": "issue:1572", + "right": "issue:4932", + "accept": false, + "reason": "One is a pipeline capability failure for img2img/inpainting, the other is missing Dreambooth output weights." + }, + { + "left": "issue:1672", + "right": "issue:2036", + "accept": false, + "reason": "Wrong output image size after conversion is not the same as an OSError loading a Stable Diffusion model." + }, + { + "left": "issue:1949", + "right": "issue:2552", + "accept": false, + "reason": "Tutorial training errors and an inpainting-pipeline question are not the same underlying bug." + }, + { + "left": "issue:2218", + "right": "issue:5633", + "accept": false, + "reason": "Overtraining during training and a bug in transformer_temporal.py have no clear overlap in code path or symptom." + }, + { + "left": "issue:2838", + "right": "issue:2858", + "accept": false, + "reason": "A ControlNet pipeline API request is unrelated to adding a seed image to an UnCLIP img2img pipeline." + }, + { + "left": "issue:2991", + "right": "issue:6540", + "accept": false, + "reason": "Mixed-precision ControlNet example failure and FSDP mat2 matrix runtime error are distinct training-time bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 136, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11241", + "issue:11436", + "issue:11581", + "issue:11592", + "issue:11791", + "issue:12319", + "issue:1541", + "issue:1672", + "issue:1931", + "issue:2363", + "issue:2549", + "issue:2659", + "issue:3065", + "issue:3112", + "issue:3296", + "issue:3401", + "issue:3418", + "issue:3480", + "issue:3926", + "issue:4198", + "issue:4213", + "issue:4304", + "issue:4709", + "issue:4852", + "issue:5075", + "issue:5178", + "issue:5285", + "issue:5892", + "issue:5897", + "issue:5917", + "issue:5963", + "issue:6222", + "issue:6372", + "issue:6382", + "issue:6584", + "issue:7021", + "issue:7133", + "issue:7138", + "issue:7168", + "issue:7237", + "issue:7690", + "issue:8359", + "issue:8493", + "issue:8649", + "issue:9136", + "issue:9424", + "issue:9484", + "issue:9613" + ], + "soft_pairs": [ + "issue:3065|issue:4304", + "issue:3112|issue:6372", + "issue:3418|issue:3480", + "issue:3926|issue:5285", + "issue:5178|issue:5917", + "issue:5892|issue:7021", + "issue:5917|issue:5963", + "issue:7168|issue:9136", + "issue:7237|issue:9424", + "issue:11436|issue:11581", + "issue:11241|issue:9484", + "issue:2549|issue:4213", + "issue:2659|issue:6222", + "issue:1541|issue:3296", + "issue:2363|issue:6584", + "issue:4852|issue:8493", + "issue:7690|issue:8359", + "issue:7133|issue:7138", + "issue:11791|issue:12319", + "issue:11592|issue:9613", + "issue:6382|issue:8649", + "issue:1672|issue:6382", + "issue:1931|issue:4709", + "issue:3401|issue:5897", + "issue:4198|issue:5075" + ], + "prepared_review_unit_hash": "709d8079f89a753658d21d28db5219b42cb4d8753c5ed1bf1c4a310d8915c834", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34490, + "estimated_input_tokens": 8623, + "estimated_eval_tokens": 17502 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous set of diffusion-model issues; only the batch-size-dependent DDPM behavior looks like a real duplicate pair. Most other soft pairs are just same-subsystem or same-error-message similarity, not the same bug.", + "confidence": 0.66, + "canonical_issue_reason": "Issue 6222 is the cleanest representative of the only plausible duplicate pair, because it states the concrete batch-size-dependent DDPM scheduler bug more directly than 2659.", + "canonical_pr_reason": null, + "best_issue_reason": "6222 is the most specific, actionable bug report here and best captures the only clear duplicate-like thread in the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3065", + "right": "issue:4304", + "accept": false, + "reason": "Both are LoRA training feature requests, but they target different training setups and changes." + }, + { + "left": "issue:3112", + "right": "issue:6372", + "accept": false, + "reason": "Different pipelines and problems: multi-ControlNet inpainting vs SVD+ControlNet support." + }, + { + "left": "issue:3418", + "right": "issue:3480", + "accept": false, + "reason": "Related to text-encoder LoRA, but one asks for training-script support and the other for a scale parameter; not the same bug/change." + }, + { + "left": "issue:3926", + "right": "issue:5285", + "accept": false, + "reason": "Docs-related only at a very broad level; one is an example request, the other a translation request." + }, + { + "left": "issue:5178", + "right": "issue:5917", + "accept": false, + "reason": "Different failure modes in different code paths; resolution-change scheduler behavior is unrelated to checkpoint conversion upgrade breakage." + }, + { + "left": "issue:5892", + "right": "issue:7021", + "accept": false, + "reason": "Both say import error, but the underlying contexts are different and too generic to merge." + }, + { + "left": "issue:5917", + "right": "issue:5963", + "accept": false, + "reason": "Checkpoint conversion failure and Kandinsky embeds-vs-prompts error are unrelated." + }, + { + "left": "issue:7168", + "right": "issue:9136", + "accept": false, + "reason": "Both mention IP-Adapter, but one is about tensor shape/embeddings and the other about output quality at some resolutions." + }, + { + "left": "issue:7237", + "right": "issue:9424", + "accept": false, + "reason": "Scheduler-not-found and notebook regression are unrelated issues." + }, + { + "left": "issue:11436", + "right": "issue:11581", + "accept": false, + "reason": "Both are runtime errors, but one is a dtype mismatch in Hidream inference and the other is an unexpected-kwarg error in FLUX IP-Adapter loading." + }, + { + "left": "issue:11241", + "right": "issue:9484", + "accept": false, + "reason": "Both are FLUX training issues, but one is a floating point exception in ControlNet training and the other is a multigpu/deepspeed training request." + }, + { + "left": "issue:2549", + "right": "issue:4213", + "accept": false, + "reason": "Different model families and failures: SD2 UNet construction vs SDXL from_single_file without accelerate." + }, + { + "left": "issue:2659", + "right": "issue:6222", + "accept": true, + "reason": "Both describe batch-size-dependent DDPM/Stable Diffusion behavior; 6222 states the likely root scheduler bug behind 2659's symptom." + }, + { + "left": "issue:1541", + "right": "issue:3296", + "accept": false, + "reason": "Both involve DreamBooth checkpoints, but the specific failures differ: model-type detection vs save/load with text encoder." + }, + { + "left": "issue:2363", + "right": "issue:6584", + "accept": false, + "reason": "General conversion help vs a specific inpaint-model conversion failure are not the same issue." + }, + { + "left": "issue:4852", + "right": "issue:8493", + "accept": false, + "reason": "Both are loading errors, but one is a generic LoRA load issue and the other is an SD3 transformer state_dict mismatch." + }, + { + "left": "issue:7690", + "right": "issue:8359", + "accept": false, + "reason": "Tokenizer-loading failure and custom-checkpoint from_single_file failure are different problems." + }, + { + "left": "issue:7133", + "right": "issue:7138", + "accept": false, + "reason": "One is a text-encoder checkpoint size mismatch; the other is an SDXL UNet structure mismatch." + }, + { + "left": "issue:11791", + "right": "issue:12319", + "accept": false, + "reason": "Both touch group offloading, but one is about loading LoRA weights afterward and the other is a block_level offloading regression; not clearly the same bug." + }, + { + "left": "issue:11592", + "right": "issue:9613", + "accept": false, + "reason": "FluxLoraLoaderMixin delete_adapters regression and a Timesteps.scale attribute error are unrelated." + }, + { + "left": "issue:6382", + "right": "issue:8649", + "accept": false, + "reason": "IP-Adapter key error during SDXL LCM LoRA training is unrelated to SD3 num_images_per_prompt behavior." + }, + { + "left": "issue:1672", + "right": "issue:6382", + "accept": false, + "reason": "Checkpoint-to-diffusers image-size issue is unrelated to the IP-Adapter key error." + }, + { + "left": "issue:1931", + "right": "issue:4709", + "accept": false, + "reason": "Different subsystems and errors: float16 dtype mismatch vs SDXL ControlNet guess-mode support." + }, + { + "left": "issue:3401", + "right": "issue:5897", + "accept": false, + "reason": "Class-labels validation and a cross-device tensor error are not the same bug." + }, + { + "left": "issue:4198", + "right": "issue:5075", + "accept": false, + "reason": "Both are matmul errors, but one is a dtype mismatch and the other is a shape mismatch in a different SDXL refiner path." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted soft pair, 2659\u21946222, is reasonably supported by the titles as the same batch-size-dependent DDPM behavior, while the other rejected pairs are framed as related-but-distinct rather than the same bug. No overstatement or mergeability issue is evident." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 137, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11149", + "issue:11436", + "issue:11978", + "issue:12358", + "issue:1445", + "issue:1451", + "issue:1478", + "issue:1500", + "issue:1866", + "issue:2495", + "issue:2663", + "issue:3209", + "issue:3347", + "issue:3363", + "issue:3432", + "issue:3454", + "issue:3540", + "issue:3564", + "issue:3565", + "issue:3761", + "issue:3937", + "issue:3980", + "issue:4206", + "issue:4250", + "issue:4460", + "issue:4773", + "issue:5224", + "issue:5281", + "issue:5284", + "issue:5319", + "issue:540", + "issue:5465", + "issue:5997", + "issue:6159", + "issue:6238", + "issue:6323", + "issue:720", + "issue:725", + "issue:7357", + "issue:7658", + "issue:7785", + "issue:7931", + "issue:7978", + "issue:8233", + "issue:9495", + "issue:9844", + "issue:9953" + ], + "soft_pairs": [ + "issue:11978|issue:12358", + "issue:1478|issue:2495", + "issue:2663|issue:4250", + "issue:4206|issue:5997", + "issue:11436|issue:720", + "issue:4773|issue:5319", + "issue:7931|issue:9495", + "issue:8233|issue:9953", + "issue:7357|issue:7785", + "issue:3209|issue:3347", + "issue:3540|issue:3937", + "issue:540|issue:725", + "issue:6238|issue:9844", + "issue:3432|issue:3565", + "issue:5281|issue:7658", + "issue:3564|issue:5284", + "issue:3761|issue:6323", + "issue:11149|issue:11436", + "issue:1451|issue:5224", + "issue:6159|issue:7978", + "issue:3980|issue:4460", + "issue:3363|issue:3454", + "issue:1445|issue:1500", + "issue:1866|issue:5465" + ], + "prepared_review_unit_hash": "b6d98af76b87eeca3af5e24672765322994fc2a23afcc1e58a3d6796f5aaa076", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33397, + "estimated_input_tokens": 8350, + "estimated_eval_tokens": 16956 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are a loose mix of unrelated issues across Diffusers pipelines, quantization, dtype/device mismatches, and feature requests. None of the soft-edge pairs look like the same underlying bug or change, so I would not merge any of them as duplicates.", + "confidence": 0.91, + "canonical_issue_reason": "issue:540 is the best umbrella-style issue: it is broad, early, and directly about reducing Stable Diffusion memory usage, which makes it the most plausible duplicate target among the list.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:540 is the strongest global canonical candidate because it covers the widest memory/offload problem space and already has multiple references.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11978", + "right": "issue:12358", + "accept": false, + "reason": "One is a request for the Bria 3.2 pipeline, the other for Lumina-DiMOO. Both are feature requests for different models, not the same change." + }, + { + "left": "issue:1478", + "right": "issue:2495", + "accept": false, + "reason": "Different bugs in different pipelines: multi-image output handling vs. MPS black-image output. Same broad subsystem, but not the same underlying defect." + }, + { + "left": "issue:2663", + "right": "issue:4250", + "accept": false, + "reason": "The first is about loading failure when safetensors safety checker files are present; the second is a generic from_pretrained loading bug. Too different to treat as duplicates." + }, + { + "left": "issue:4206", + "right": "issue:5997", + "accept": false, + "reason": "One is a ControlNet training breakage on SDXL, the other is a tutorial/config type mismatch. Related area, but not the same bug." + }, + { + "left": "issue:11436", + "right": "issue:720", + "accept": false, + "reason": "Both mention dtype mismatches, but they occur in different code paths and with different symptoms: Hidream inference matmul dtype mismatch vs. traced UNet scalar-type mismatch." + }, + { + "left": "issue:4773", + "right": "issue:5319", + "accept": false, + "reason": "Loading CivitAI LoRA and speeding up LoRA loading with PEFT are different concerns; one is a user issue, the other a performance feature request." + }, + { + "left": "issue:7931", + "right": "issue:9495", + "accept": false, + "reason": "Both involve SDXL/IP-Adapter, but one is ControlNet-inpaint with ip_adapter_image_embeds and the other is PAG with IPAdapter. Distinct pipeline behavior, not the same bug." + }, + { + "left": "issue:8233", + "right": "issue:9953", + "accept": false, + "reason": "Depth fp16 errors and moving a quantized component pipeline to CUDA are different failure modes and code paths." + }, + { + "left": "issue:7357", + "right": "issue:7785", + "accept": false, + "reason": "Both are slow inference reports, but one is about torch.compile/fuse_loras on SDXL and the other about first inference slowdown in diffusers 0.27.x. Not the same concrete issue." + }, + { + "left": "issue:3209", + "right": "issue:3347", + "accept": false, + "reason": "AutoencoderKL NaNs for large images is a specific encoder stability bug; the other is a general NaN image output complaint. Too broad to merge." + }, + { + "left": "issue:3540", + "right": "issue:3937", + "accept": false, + "reason": "TextToVideoZero prompt-embed support and ZeroscopeXL not working as a normal model are different pipeline problems." + }, + { + "left": "issue:540", + "right": "issue:725", + "accept": false, + "reason": "Both concern memory usage, but 540 is a broad request to keep UNet on GPU while 725 is about adding device map/accelerate support to pipeline loading. Related, but not the same change." + }, + { + "left": "issue:6238", + "right": "issue:9844", + "accept": false, + "reason": "Both mention VAE/NAN-type symptoms, but one is a generic SDXL VAE issue and the other specifically reports NaNs in the SDXL VAE encoder. Similar area, not enough to treat as one bug." + }, + { + "left": "issue:3432", + "right": "issue:3565", + "accept": false, + "reason": "One is a CPU half-precision convolution runtime error in text-to-image examples; the other is a CUDA OOM during text-to-image training. Different resource failures." + }, + { + "left": "issue:5281", + "right": "issue:7658", + "accept": false, + "reason": "Multiple XL pipelines device-mismatch under cpu offload is distinct from asking whether multiple conditioning with SDXL ControlNet is possible." + }, + { + "left": "issue:3564", + "right": "issue:5284", + "accept": false, + "reason": "Uni-ControlNet support and ControlNet-LLLite support are different feature requests for different integrations." + }, + { + "left": "issue:3761", + "right": "issue:6323", + "accept": false, + "reason": "Loading two community pipelines in one process and TensorRT img2img guidance_scale attribute errors are unrelated." + }, + { + "left": "issue:11149", + "right": "issue:11436", + "accept": false, + "reason": "Unexpected keyword argument in quantizer creation vs. dtype mismatch during Hidream inference are separate quantization/inference failures." + }, + { + "left": "issue:1451", + "right": "issue:5224", + "accept": false, + "reason": "Flax Stable Diffusion example failure and Flax Stable Diffusion 2.1 error are both Flax-related, but the titles indicate different models/examples and likely different root causes." + }, + { + "left": "issue:6159", + "right": "issue:7978", + "accept": false, + "reason": "One is a missing denoising_end kwarg on an SDXL ControlNet XSPipeline; the other is a torchvision nms runtime error. Completely different issues." + }, + { + "left": "issue:3980", + "right": "issue:4460", + "accept": false, + "reason": "Prompt-length divergence from A1111 and generic Stable Diffusion vs diffusers output differences are related only at a high level, not the same bug." + }, + { + "left": "issue:3363", + "right": "issue:3454", + "accept": false, + "reason": "Both involve train_dreambooth_lora.py, but one is a machine-specific failure and the other says it does not run on latest. Not enough evidence they are the same defect." + }, + { + "left": "issue:1445", + "right": "issue:1500", + "accept": false, + "reason": "Different legacy/community pipeline compatibility problems across versions; similar theme, but not the same pipeline or failure." + }, + { + "left": "issue:1866", + "right": "issue:5465", + "accept": false, + "reason": "Both are scheduler/strength-related inference issues, but one is DPMSolverSinglestepScheduler with certain strength values, while the other is DiffEdit inpaint_strength=0.8 only. Different pipelines and constraints." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 138, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10823", + "issue:11010", + "issue:12078", + "issue:1404", + "issue:1445", + "issue:1672", + "issue:1807", + "issue:1823", + "issue:1896", + "issue:2089", + "issue:2420", + "issue:2459", + "issue:2880", + "issue:2883", + "issue:3026", + "issue:3124", + "issue:3565", + "issue:3647", + "issue:3694", + "issue:3975", + "issue:4566", + "issue:4733", + "issue:4932", + "issue:4993", + "issue:5128", + "issue:5578", + "issue:5678", + "issue:5719", + "issue:6183", + "issue:6230", + "issue:6277", + "issue:6283", + "issue:6561", + "issue:6832", + "issue:7333", + "issue:7480", + "issue:7682", + "issue:7722", + "issue:8514", + "issue:852", + "issue:867", + "issue:8898", + "issue:9208", + "issue:9227", + "issue:9270", + "issue:9793", + "issue:9873" + ], + "soft_pairs": [ + "issue:4993|issue:6283", + "issue:1672|issue:867", + "issue:4566|issue:4733", + "issue:5678|issue:7722", + "issue:1404|issue:1896", + "issue:1823|issue:2880", + "issue:2420|issue:6277", + "issue:3026|issue:6230", + "issue:3694|issue:7682", + "issue:5578|issue:9793", + "issue:12078|issue:9227", + "issue:11010|issue:9270", + "issue:1445|issue:852", + "issue:6183|issue:9208", + "issue:6561|issue:6832", + "issue:7333|issue:9873", + "issue:1807|issue:3124", + "issue:5719|issue:8898", + "issue:2459|issue:4932", + "issue:3565|issue:7480", + "issue:3975|issue:5128", + "issue:2089|issue:3647", + "issue:10823|issue:8514", + "issue:2883|issue:7333" + ], + "prepared_review_unit_hash": "5ae692fc701472a712260516c287db122ebda340e56a2378efaefd67a1dba23c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33728, + "estimated_input_tokens": 8432, + "estimated_eval_tokens": 17120 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated training, loading, pipeline, memory, and feature-request issues. The soft pairs mostly share broad subsystem or keyword similarity, but not the same concrete bug/change, so none should be merged as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:10823 is the closest representative of the finetuning-output-artifact subtheme, but the cluster is too mixed to justify a single canonical duplicate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4993", + "right": "issue:6283", + "accept": false, + "reason": "Different problems: import/export structure vs. zero-strength controlnet behavior." + }, + { + "left": "issue:1672", + "right": "issue:867", + "accept": false, + "reason": "Conversion script output size bug and GPU memory release bug are unrelated." + }, + { + "left": "issue:4566", + "right": "issue:4733", + "accept": false, + "reason": "Both mention resuming training, but different scripts and distinct failure modes." + }, + { + "left": "issue:5678", + "right": "issue:7722", + "accept": false, + "reason": "Higher-order derivative attention bug is unrelated to pipeline/IPAdapter runtime error." + }, + { + "left": "issue:1404", + "right": "issue:1896", + "accept": false, + "reason": "Different CLIP guided SD failures with different error paths." + }, + { + "left": "issue:1823", + "right": "issue:2880", + "accept": false, + "reason": "Swapped comments in depth2img is unrelated to a JAX colab runtime failure." + }, + { + "left": "issue:2420", + "right": "issue:6277", + "accept": false, + "reason": "Both are training-example issues, but not the same concrete bug or code path." + }, + { + "left": "issue:3026", + "right": "issue:6230", + "accept": false, + "reason": "InstructPix2Pix launch error is unrelated to SDXL out-of-memory during training." + }, + { + "left": "issue:3694", + "right": "issue:7682", + "accept": false, + "reason": "Missing model files in a Pokemon example is unrelated to multi-GPU memory behavior." + }, + { + "left": "issue:5578", + "right": "issue:9793", + "accept": false, + "reason": "Model-index loading error and progress-bar update issue are unrelated." + }, + { + "left": "issue:12078", + "right": "issue:9227", + "accept": false, + "reason": "Both are Flux fine-tuning related, but they describe different example/model problems." + }, + { + "left": "issue:11010", + "right": "issue:9270", + "accept": false, + "reason": "Feature request for Chroma support is not the same as Flux LoRA support limitations." + }, + { + "left": "issue:1445", + "right": "issue:852", + "accept": false, + "reason": "Legacy inpaint AttributeError and MPS device_map keyword error are different failures." + }, + { + "left": "issue:6183", + "right": "issue:9208", + "accept": false, + "reason": "Both involve from_single_file, but one is an incorrect shape bug and the other a controlnet loading limitation." + }, + { + "left": "issue:6561", + "right": "issue:6832", + "accept": false, + "reason": "Missing config file for IP-Adapter is unrelated to tuple/shape handling in Face ID pipeline." + }, + { + "left": "issue:7333", + "right": "issue:9873", + "accept": false, + "reason": "Image-to-video research request and OmniGen pipeline request are different feature additions." + }, + { + "left": "issue:1807", + "right": "issue:3124", + "accept": false, + "reason": "Inference slowdown over time is unrelated to a broken model conversion flow." + }, + { + "left": "issue:5719", + "right": "issue:8898", + "accept": false, + "reason": "Loader-order heuristic fix and subfolder-from_pretrained error are not the same bug." + }, + { + "left": "issue:2459", + "right": "issue:4932", + "accept": false, + "reason": "xformers training issue and missing pytorch_model.bin export are different problems." + }, + { + "left": "issue:3565", + "right": "issue:7480", + "accept": false, + "reason": "Both are OOM reports, but they concern different models, scripts, and circumstances." + }, + { + "left": "issue:3975", + "right": "issue:5128", + "accept": false, + "reason": "Typo in an error message is unrelated to a local safetensors loading failure." + }, + { + "left": "issue:2089", + "right": "issue:3647", + "accept": false, + "reason": "DreamBooth OOM on AltDiffusion and Dreambooth with DeepFloyd are separate training cases." + }, + { + "left": "issue:10823", + "right": "issue:8514", + "accept": false, + "reason": "Finetuning output-artifact issue is unrelated to EMAModel parallel fine-tuning error." + }, + { + "left": "issue:2883", + "right": "issue:7333", + "accept": false, + "reason": "General image-to-video pipeline request and a specific generation method request are not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 139, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10226", + "issue:11014", + "issue:11359", + "issue:11374", + "issue:11408", + "issue:1166", + "issue:1188", + "issue:1195", + "issue:12034", + "issue:12216", + "issue:12348", + "issue:1392", + "issue:1538", + "issue:1717", + "issue:2015", + "issue:2806", + "issue:3094", + "issue:3235", + "issue:3280", + "issue:3289", + "issue:3301", + "issue:3393", + "issue:3487", + "issue:3812", + "issue:3886", + "issue:4139", + "issue:4386", + "issue:4450", + "issue:4484", + "issue:4584", + "issue:4736", + "issue:4835", + "issue:5395", + "issue:5678", + "issue:6008", + "issue:6092", + "issue:6382", + "issue:6639", + "issue:6832", + "issue:6870", + "issue:6894", + "issue:6911", + "issue:8817", + "issue:8955", + "issue:9051", + "issue:9343", + "issue:9667", + "issue:9717" + ], + "soft_pairs": [ + "issue:3812|issue:6870", + "issue:11408|issue:9051", + "issue:11014|issue:3094", + "issue:2806|issue:6911", + "issue:4835|issue:5395", + "issue:12034|issue:12216", + "issue:1188|issue:2015", + "issue:1195|issue:1538", + "issue:3393|issue:4386", + "issue:6008|issue:6382", + "issue:9343|issue:9717", + "issue:1717|issue:5678", + "issue:10226|issue:12348", + "issue:1166|issue:3886", + "issue:4584|issue:4736", + "issue:11359|issue:11374", + "issue:1188|issue:1392", + "issue:3235|issue:4139", + "issue:3280|issue:3289", + "issue:4450|issue:6092", + "issue:3487|issue:6870", + "issue:3301|issue:6894", + "issue:4484|issue:6639", + "issue:8955|issue:9667", + "issue:6832|issue:8817" + ], + "prepared_review_unit_hash": "a531f8d58e561cd470646468d62fe72fe725b4faf8966a865bdcc84f5f877763", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34293, + "estimated_input_tokens": 8574, + "estimated_eval_tokens": 17404 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: most pairs are only loosely similar at the title level (often just sharing a subsystem, model family, or generic error word). I would not merge any of the suggested soft edges; they do not look like the same underlying bug/change.", + "confidence": 0.26, + "canonical_issue_reason": "If a canonical issue is needed, issue:12348 is the most concrete and recent runtime bug report in the set, but it is only a weak representative because the rest of the cluster spans many unrelated problems and feature requests.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12348 is the best single anchor because it is specific, actionable, and a true bug report with a concrete failure mode (tensor mismatch at certain resolutions).", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3812", + "right": "issue:6870", + "accept": false, + "reason": "Both mention missing config fields, but they are different keys in different pipelines; not the same bug." + }, + { + "left": "issue:11408", + "right": "issue:9051", + "accept": false, + "reason": "Different FLUX issues: one is adapter-setting support for compiled models, the other is batch inference support." + }, + { + "left": "issue:11014", + "right": "issue:3094", + "accept": false, + "reason": "Both are OOM reports, but on different workflows and likely different causes." + }, + { + "left": "issue:2806", + "right": "issue:6911", + "accept": false, + "reason": "Different functionality: pipeline printing/customization vs class labels in a 3D UNet." + }, + { + "left": "issue:4835", + "right": "issue:5395", + "accept": false, + "reason": "Different LoRA/ControlNet problems in different pipelines; not the same concrete failure." + }, + { + "left": "issue:12034", + "right": "issue:12216", + "accept": false, + "reason": "Both are quality complaints, but they concern different models and different inference stacks." + }, + { + "left": "issue:1188", + "right": "issue:2015", + "accept": false, + "reason": "Both are pipeline requests, but for unrelated pipelines and use cases." + }, + { + "left": "issue:1195", + "right": "issue:1538", + "accept": false, + "reason": "One is fp16 memory-efficient attention, the other is a Stable Diffusion 2 pipeline compatibility problem." + }, + { + "left": "issue:3393", + "right": "issue:4386", + "accept": false, + "reason": "Both ask about LoRA format conversion, but they are separate user questions and not the same bug/change." + }, + { + "left": "issue:6008", + "right": "issue:6382", + "accept": false, + "reason": "Both involve IP-Adapter and LCM LoRA, but one is an inference failure and the other is a training/output key error." + }, + { + "left": "issue:9343", + "right": "issue:9717", + "accept": false, + "reason": "Both are FLUX loading issues, but the failure modes are different (mismatched-size loading vs docker image error)." + }, + { + "left": "issue:1717", + "right": "issue:5678", + "accept": false, + "reason": "Completely different topics: offline model caching vs higher-order autograd with scaled dot product attention." + }, + { + "left": "issue:10226", + "right": "issue:12348", + "accept": false, + "reason": "Both mention tensor mismatch, but they are different models/pipelines and different resolution-specific behavior." + }, + { + "left": "issue:1166", + "right": "issue:3886", + "accept": false, + "reason": "Different training problems on different hardware; one is a TPU save hang, the other a distributed timeout." + }, + { + "left": "issue:4584", + "right": "issue:4736", + "accept": false, + "reason": "Same script family, but one is checkpoint-resume logic and the other is OOM/cast instability." + }, + { + "left": "issue:11359", + "right": "issue:11374", + "accept": false, + "reason": "Both are feature requests, but for unrelated models and capabilities." + }, + { + "left": "issue:1188", + "right": "issue:1392", + "accept": false, + "reason": "Different requests entirely: CLIPSeg pipeline vs Stable Diffusion 2 support." + }, + { + "left": "issue:3235", + "right": "issue:4139", + "accept": false, + "reason": "Both are Custom Diffusion-related, but one is loading biased weights and the other is precision casting." + }, + { + "left": "issue:3280", + "right": "issue:3289", + "accept": false, + "reason": "Both involve DeepFloyd IF, but one is scheduler support and the other is super-resolution scaling behavior." + }, + { + "left": "issue:4450", + "right": "issue:6092", + "accept": false, + "reason": "Both are training example failures, but one is multi-text inversion and the other is LoRA training not updating." + }, + { + "left": "issue:3487", + "right": "issue:6870", + "accept": false, + "reason": "Different bugs: inpaint quality with a scheduler vs missing VAE tiling support." + }, + { + "left": "issue:3301", + "right": "issue:6894", + "accept": false, + "reason": "Similar LoRA-training wording, but different scripts, model family, and downstream symptom." + }, + { + "left": "issue:4484", + "right": "issue:6639", + "accept": false, + "reason": "Both concern LoRA results, but one is Kohya-produced weird outputs and the other is a load_lora_weights discrepancy." + }, + { + "left": "issue:8955", + "right": "issue:9667", + "accept": false, + "reason": "Both are FLUX loading errors, but one is a CLIPTextModel state_dict mismatch and the other is an fp8 transformer file issue." + }, + { + "left": "issue:6832", + "right": "issue:8817", + "accept": false, + "reason": "Same broad IP-Adapter FaceID area, but the concrete reported failures and code paths are not clearly the same." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 140, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10925", + "issue:11045", + "issue:11436", + "issue:11581", + "issue:11627", + "issue:12459", + "issue:1475", + "issue:1543", + "issue:1695", + "issue:1931", + "issue:2459", + "issue:2606", + "issue:2645", + "issue:3086", + "issue:3420", + "issue:3461", + "issue:3674", + "issue:3765", + "issue:3826", + "issue:4304", + "issue:4419", + "issue:4562", + "issue:4790", + "issue:5002", + "issue:5254", + "issue:5465", + "issue:556", + "issue:5594", + "issue:5606", + "issue:6277", + "issue:6382", + "issue:6689", + "issue:6967", + "issue:6974", + "issue:7221", + "issue:7380", + "issue:8414", + "issue:8514", + "issue:8832", + "issue:9051", + "issue:9089", + "issue:9109", + "issue:9370", + "issue:9673", + "issue:9744", + "issue:9873", + "issue:9876", + "issue:9953" + ], + "soft_pairs": [ + "issue:3826|issue:8414", + "issue:9744|issue:9873", + "issue:11045|issue:8832", + "issue:9051|issue:9089", + "issue:11581|issue:11627", + "issue:5465|issue:9109", + "issue:11436|issue:1931", + "issue:2645|issue:5254", + "issue:4419|issue:7221", + "issue:5606|issue:9673", + "issue:7380|issue:8414", + "issue:10925|issue:12459", + "issue:1475|issue:3765", + "issue:3674|issue:6277", + "issue:8514|issue:9953", + "issue:2459|issue:6974", + "issue:1543|issue:4790", + "issue:1695|issue:2606", + "issue:3086|issue:556", + "issue:4304|issue:5594", + "issue:5002|issue:9370", + "issue:4562|issue:6689", + "issue:3461|issue:6967", + "issue:6382|issue:9876", + "issue:3420|issue:6974" + ], + "prepared_review_unit_hash": "f07b6f151b175bc75a3ebb3ef73885e84a5beaf735d908f52346040589dc42c7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34634, + "estimated_input_tokens": 8659, + "estimated_eval_tokens": 17574 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a noisy, mostly non-duplicate cluster: the paired items are usually only loosely related by model family or subsystem, not the same bug/change. No PRs are present. If an anchor is needed, issue 11045 is the most concrete FLUX training crash report, but it is not a duplicate of the other items.", + "confidence": 0.91, + "canonical_issue_reason": "No true canonical issue across the full set; the items span many unrelated bugs/features. Issue 11045 is only the closest anchor because it is a concrete FLUX training crash with a specific script/model.", + "canonical_pr_reason": null, + "best_issue_reason": "11045 is the strongest standalone bug report: it names a specific crash path, script, and model, making it the most actionable and representative of the small FLUX-training subset.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3826", + "right": "issue:8414", + "accept": false, + "reason": "Different requests for different models/pipelines: a new audio pipeline vs a new text-to-audio model. Not the same underlying change." + }, + { + "left": "issue:9744", + "right": "issue:9873", + "accept": false, + "reason": "Two separate new-model requests (Mochi video vs OmniGen image generation). Shared 'add model' theme only." + }, + { + "left": "issue:11045", + "right": "issue:8832", + "accept": false, + "reason": "One is a FLUX DreamBooth load crash; the other is a generic pipeline prompt crash. Different code paths and failure modes." + }, + { + "left": "issue:9051", + "right": "issue:9089", + "accept": false, + "reason": "Batch inference limitation vs missing class import/registration. Related to FLUX, but clearly different bugs." + }, + { + "left": "issue:11581", + "right": "issue:11627", + "accept": false, + "reason": "Different IP-Adapter integration failures in different pipelines/models; not the same concrete bug." + }, + { + "left": "issue:5465", + "right": "issue:9109", + "accept": false, + "reason": "DiffEdit inpaint-strength behavior is unrelated to a torchvision nms dependency error." + }, + { + "left": "issue:11436", + "right": "issue:1931", + "accept": false, + "reason": "Both are dtype-mismatch errors, but they occur in different models/pipelines and are not the same code-path bug." + }, + { + "left": "issue:2645", + "right": "issue:5254", + "accept": false, + "reason": "macOS CUDA assertion vs multi-ControlNet support request; different problems." + }, + { + "left": "issue:4419", + "right": "issue:7221", + "accept": false, + "reason": "SDXL offset-noise inference mismatch vs noisy output with a specific checkpoint. Same symptom class, different issue." + }, + { + "left": "issue:5606", + "right": "issue:9673", + "accept": false, + "reason": "LoRA alpha loading bug vs high CPU usage when loading multiple LoRAs. Separate issues." + }, + { + "left": "issue:7380", + "right": "issue:8414", + "accept": false, + "reason": "Different model contributions: one asks for a one-step distillation implementation, the other a new text-to-audio model." + }, + { + "left": "issue:10925", + "right": "issue:12459", + "accept": false, + "reason": "DreamBooth finetuning vs batch inference throughput. Both FLUX-related, but not the same bug." + }, + { + "left": "issue:1475", + "right": "issue:3765", + "accept": false, + "reason": "Training with mixed class images vs control net stacking artifacts. No shared failure." + }, + { + "left": "issue:3674", + "right": "issue:6277", + "accept": false, + "reason": "Metadata JSONL parsing error vs broken gradients in a LoRA example; unrelated training issues." + }, + { + "left": "issue:8514", + "right": "issue:9953", + "accept": false, + "reason": "Parallel fine-tuning/EMA issue vs moving a quantized component to CUDA. Different runtime paths." + }, + { + "left": "issue:2459", + "right": "issue:6974", + "accept": false, + "reason": "xformers attention support in a training script vs unloading textual inversion tensors. Different subsystems and bugs." + }, + { + "left": "issue:1543", + "right": "issue:4790", + "accept": false, + "reason": "Unsupported revision handling in textual inversion vs conversion tool incompatibility. Different tools and failure modes." + }, + { + "left": "issue:1695", + "right": "issue:2606", + "accept": false, + "reason": "Multi-GPU DreamBooth training vs DeepSpeed save_state hang. Same general area, but not the same bug." + }, + { + "left": "issue:3086", + "right": "issue:556", + "accept": false, + "reason": "Audio-to-image request vs seamless texture tiling. Completely different features." + }, + { + "left": "issue:4304", + "right": "issue:5594", + "accept": false, + "reason": "Feature request for SDXL LoRA training vs memory-usage complaint during SDXL fine-tuning. Related area, different issue." + }, + { + "left": "issue:5002", + "right": "issue:9370", + "accept": false, + "reason": "Scheduler argument omission vs missing pooled_projection argument in embeddings. Different APIs and code paths." + }, + { + "left": "issue:4562", + "right": "issue:6689", + "accept": false, + "reason": "Two different model conversion failures (XL pipeline vs SSD-1B). Same broad conversion topic only." + }, + { + "left": "issue:3461", + "right": "issue:6967", + "accept": false, + "reason": "Performance/memory comparison question vs prior-preservation shape mismatch. Distinct DreamBooth problems." + }, + { + "left": "issue:6382", + "right": "issue:9876", + "accept": false, + "reason": "IP-Adapter key error in LCM/SDXL training vs VRAM not being released after LoRA training. Different bugs." + }, + { + "left": "issue:3420", + "right": "issue:6974", + "accept": false, + "reason": "ControlNet inpaint pipeline compatibility vs textual inversion unload behavior. Unrelated issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 141, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10107", + "issue:10514", + "issue:10866", + "issue:11370", + "issue:12147", + "issue:1251", + "issue:1310", + "issue:1392", + "issue:1985", + "issue:2107", + "issue:222", + "issue:2392", + "issue:2674", + "issue:2728", + "issue:2783", + "issue:3296", + "issue:3432", + "issue:3803", + "issue:4236", + "issue:4686", + "issue:4892", + "issue:4932", + "issue:5509", + "issue:5516", + "issue:5607", + "issue:5857", + "issue:6131", + "issue:6201", + "issue:6435", + "issue:6686", + "issue:6726", + "issue:6839", + "issue:6974", + "issue:7347", + "issue:7960", + "issue:7982", + "issue:8469", + "issue:8472", + "issue:8543", + "issue:8560", + "issue:8788", + "issue:8950", + "issue:8955", + "issue:9208", + "issue:9527", + "issue:9914", + "issue:9933", + "issue:9979" + ], + "soft_pairs": [ + "issue:1251|issue:2107", + "issue:6435|issue:9933", + "issue:2392|issue:6201", + "issue:2674|issue:5857", + "issue:4236|issue:6686", + "issue:10866|issue:12147", + "issue:1310|issue:1392", + "issue:4892|issue:6726", + "issue:8560|issue:8950", + "issue:222|issue:3432", + "issue:10514|issue:8788", + "issue:11370|issue:7982", + "issue:2728|issue:4686", + "issue:7347|issue:7960", + "issue:5509|issue:5607", + "issue:3803|issue:8472", + "issue:9527|issue:9979", + "issue:3296|issue:5516", + "issue:4932|issue:6974", + "issue:8955|issue:9914", + "issue:6839|issue:9208", + "issue:1985|issue:2783", + "issue:6131|issue:8469", + "issue:10107|issue:8543" + ], + "prepared_review_unit_hash": "6bb85e064a27c84be2af80a855dd0426f368547cc83257fbe6279d0f55b7cc56", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33886, + "estimated_input_tokens": 8472, + "estimated_eval_tokens": 17200 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated bug reports. The only strong duplicate-like pair is the Stable Diffusion prompt_embeds/no-prompt validation bug: issue 2392 and issue 6201. No PRs are present.", + "confidence": 0.84, + "canonical_issue_reason": "issue:6201 is the clearest and most current description of the shared prompt_embeds/no-prompt bug and points directly at the affected pipeline code path.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6201 is the best representative because it names the concrete failing behavior, the missing prompt case, and the relevant pipeline logic.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1251", + "right": "issue:2107", + "accept": false, + "reason": "Both mention black images, but one is RePaintPipeline on MPS and the other is low-resolution glitching; different symptoms and likely different code paths." + }, + { + "left": "issue:6435", + "right": "issue:9933", + "accept": false, + "reason": "One is ControlNet default width/height initialization, the other is SD3 img2img missing width/height parameters; related theme, but not the same defect." + }, + { + "left": "issue:2392", + "right": "issue:6201", + "accept": true, + "reason": "Both describe the Stable Diffusion pipeline/img2img mishandling prompt_embeds when no prompt is provided, causing prompt validation/encoding to run incorrectly." + }, + { + "left": "issue:2674", + "right": "issue:5857", + "accept": false, + "reason": "One is about missing safetensors support for LoRA loading; the other is a quality/compatibility issue with LCM LoRA on AnimateDiff SDXL." + }, + { + "left": "issue:4236", + "right": "issue:6686", + "accept": false, + "reason": "Text encoder registration in SDXL Refiner is a different code-path problem from Dynamo compilation save/load performance after reload." + }, + { + "left": "issue:10866", + "right": "issue:12147", + "accept": false, + "reason": "Different models and different LoRA loading failures; too broad to be the same underlying bug." + }, + { + "left": "issue:1310", + "right": "issue:1392", + "accept": false, + "reason": "K-Diffusion integration and the Stable Diffusion 2 tracking issue are unrelated." + }, + { + "left": "issue:4892", + "right": "issue:6726", + "accept": false, + "reason": "Different pipelines/projects entirely; no shared concrete bug." + }, + { + "left": "issue:8560", + "right": "issue:8950", + "accept": false, + "reason": "One is an SD3 training OOM, the other is an SD3 LoRA training bug; same area but not the same failure." + }, + { + "left": "issue:222", + "right": "issue:3432", + "accept": false, + "reason": "Generic training runtime failure versus CPU half-precision conv2d limitation; distinct problems." + }, + { + "left": "issue:10514", + "right": "issue:8788", + "accept": false, + "reason": "Sana resolution-binning/sample_size mismatch is unrelated to SD3 VAE tiling on non-power-of-two images." + }, + { + "left": "issue:11370", + "right": "issue:7982", + "accept": false, + "reason": "A conversion-script pickle/load failure is unrelated to MultiControlNetModel from_pipe behavior." + }, + { + "left": "issue:2728", + "right": "issue:4686", + "accept": false, + "reason": "Safetensors loading for UNet2DConditionModel is a different issue from loading a saved StableDiffusionUpscalePipeline with from_pretrained." + }, + { + "left": "issue:7347", + "right": "issue:7960", + "accept": false, + "reason": "Both are training failures, but one is a post-update LoRA training regression and the other is an SDXL multi-GPU failure." + }, + { + "left": "issue:5509", + "right": "issue:5607", + "accept": false, + "reason": "Image batch-size validation and tensor concatenation size mismatch are different shape bugs." + }, + { + "left": "issue:3803", + "right": "issue:8472", + "accept": false, + "reason": "Multi-GPU model sharing is unrelated to the general question about pre-training LoRA with other modules." + }, + { + "left": "issue:9527", + "right": "issue:9979", + "accept": false, + "reason": "ControlNet dtype mismatch and Flux img2img controlnet channel mismatch are different concrete failures." + }, + { + "left": "issue:3296", + "right": "issue:5516", + "accept": false, + "reason": "DreamBooth checkpoint save/load issues are unrelated to LoRA not functioning with t2i adapters." + }, + { + "left": "issue:4932", + "right": "issue:6974", + "accept": false, + "reason": "Exporting DreamBooth checkpoints and unloading textual inversion components are different bugs." + }, + { + "left": "issue:8955", + "right": "issue:9914", + "accept": false, + "reason": "CLIPTextModel state_dict loading errors are not the same as the Flux Xlabs LoRA loading issue." + }, + { + "left": "issue:6839", + "right": "issue:9208", + "accept": false, + "reason": "Both involve from_single_file, but they affect different model families and loader paths." + }, + { + "left": "issue:1985", + "right": "issue:2783", + "accept": false, + "reason": "Embedding-loading UX and a ControlNet pipeline feature request are unrelated." + }, + { + "left": "issue:6131", + "right": "issue:8469", + "accept": false, + "reason": "A generic IP-Adapter Plus failure is not the same as corrupt faces from a specific IP-Adapter model." + }, + { + "left": "issue:10107", + "right": "issue:8543", + "accept": false, + "reason": "Validation-time gradient checkpointing in examples is a different issue from SD3 dreambooth gradient checkpointing failure." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative: it identifies only the clearly related prompt_embeds/no-prompt pair (2392/6201), correctly notes that no PRs are present, and the other soft-edge rejections do not overclaim sameness. The accepted pair is well supported by the titles, and the rest of the cluster is reasonably described as mostly unrelated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 142, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11136", + "issue:11208", + "issue:11489", + "issue:1249", + "issue:12612", + "issue:13053", + "issue:13067", + "issue:13258", + "issue:1350", + "issue:1367", + "issue:1574", + "issue:2392", + "issue:2465", + "issue:2784", + "issue:2904", + "issue:3264", + "issue:3487", + "issue:3537", + "issue:3619", + "issue:4061", + "issue:4073", + "issue:4303", + "issue:4307", + "issue:4354", + "issue:4386", + "issue:4453", + "issue:4580", + "issue:4885", + "issue:4936", + "issue:5594", + "issue:5647", + "issue:5980", + "issue:6176", + "issue:6392", + "issue:6615", + "issue:6734", + "issue:6809", + "issue:6911", + "issue:7197", + "issue:7348", + "issue:7357", + "issue:7420", + "issue:8450", + "issue:8532", + "issue:9045", + "issue:9210", + "issue:9393" + ], + "soft_pairs": [ + "issue:3619|issue:6911", + "issue:4307|issue:4580", + "issue:7348|issue:8450", + "issue:6809|issue:9045", + "issue:11136|issue:11208", + "issue:2392|issue:6734", + "issue:4061|issue:4303", + "issue:3487|issue:5647", + "issue:12612|issue:13258", + "issue:1574|issue:2465", + "issue:1350|issue:2784", + "issue:4354|issue:6615", + "issue:4386|issue:5594", + "issue:4936|issue:6392", + "issue:7197|issue:9210", + "issue:11489|issue:9393", + "issue:1367|issue:2904", + "issue:3264|issue:3537", + "issue:4453|issue:5980", + "issue:6176|issue:6392", + "issue:7357|issue:7420", + "issue:13053|issue:13067", + "issue:4885|issue:8532", + "issue:1249|issue:4073" + ], + "prepared_review_unit_hash": "fd50df15b0bc0a94f0228e38c2759c843c147f7df0fe7078806541bcb2e2dfb7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33517, + "estimated_input_tokens": 8380, + "estimated_eval_tokens": 17016 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pairs look like true duplicates; they mostly share broad subsystem keywords (LoRA, inpaint, schedulers, training) but differ in concrete pipeline, failure mode, or feature request. I would keep the most actionable open bug report, issue 8450, as the best representative issue in this set.", + "confidence": 0.86, + "canonical_issue_reason": "Issue 8450 is the clearest, most detailed open bug report with a reproducible inference problem and explicit expected/actual behavior, making it the strongest representative issue here.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 8450 is the best overall issue candidate because it is concrete, currently open, and narrowly scoped to a specific inpainting/strength=1.0 defect.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3619", + "right": "issue:6911", + "accept": false, + "reason": "Different problems: CrossFrameAttention failure in Text2Video-Zero vs class-label usage in UNetConditional3DModel." + }, + { + "left": "issue:4307", + "right": "issue:4580", + "accept": false, + "reason": "Unrelated failure modes: offline from_pretrained loading vs UniPC scheduler exception with use_karras_sigmas." + }, + { + "left": "issue:7348", + "right": "issue:8450", + "accept": false, + "reason": "Both mention inpaint weirdness, but they target different pipelines/models and likely different code paths; not the same concrete bug." + }, + { + "left": "issue:6809", + "right": "issue:9045", + "accept": false, + "reason": "Both touch PEFT, but one is LoRA adapter loading regression and the other is CUDA transfer failure in a different pipeline." + }, + { + "left": "issue:11136", + "right": "issue:11208", + "accept": false, + "reason": "Distinct unsupported features in different pipelines; no shared bug mechanism." + }, + { + "left": "issue:2392", + "right": "issue:6734", + "accept": false, + "reason": "Different errors and code paths: prompt_embeds validation vs tokenizer access on None." + }, + { + "left": "issue:4061", + "right": "issue:4303", + "accept": false, + "reason": "Different frameworks and failures: PyTorch SDXL LoRA loading vs Flax SDXL pipeline crash." + }, + { + "left": "issue:3487", + "right": "issue:5647", + "accept": false, + "reason": "Related inpaint/scheduler theme, but different pipeline/model combinations and symptom details; too broad to merge." + }, + { + "left": "issue:12612", + "right": "issue:13258", + "accept": false, + "reason": "Numerical instability in Wan 2.1 vs missing image-to-video support in Wan 2.2; not the same issue." + }, + { + "left": "issue:1574", + "right": "issue:2465", + "accept": false, + "reason": "One is a training failure on low-memory Linux hardware; the other is a reproducible recipe/question, not the same bug." + }, + { + "left": "issue:1350", + "right": "issue:2784", + "accept": false, + "reason": "Completely different requests: object detection model support vs Dreambooth for text-to-video." + }, + { + "left": "issue:4354", + "right": "issue:6615", + "accept": false, + "reason": "Both involve loading from files, but one is an incorrect pipeline type return and the other is local YAML handling during ckpt conversion." + }, + { + "left": "issue:4386", + "right": "issue:5594", + "accept": false, + "reason": "Unrelated LoRA topics: conversion to safetensors vs memory-saving during SDXL fine-tuning." + }, + { + "left": "issue:4936", + "right": "issue:6392", + "accept": false, + "reason": "Different operations: resume Dreambooth LoRA training vs loading a custom LoRA at inference." + }, + { + "left": "issue:7197", + "right": "issue:9210", + "accept": false, + "reason": "Different dataset/script validation errors with different messages and contexts." + }, + { + "left": "issue:11489", + "right": "issue:9393", + "accept": false, + "reason": "Both are Flux LoRA training issues, but one is a script error and the other is a model save failure under deepspeed; not the same concrete bug." + }, + { + "left": "issue:1367", + "right": "issue:2904", + "accept": false, + "reason": "Scheduler config serialization bug vs missing scheduler on an AudioLDM pipeline; unrelated." + }, + { + "left": "issue:3264", + "right": "issue:3537", + "accept": false, + "reason": "Both are conversion utilities, but they convert different model components in different directions." + }, + { + "left": "issue:4453", + "right": "issue:5980", + "accept": false, + "reason": "Both ask about model file formats, but one is SDXL LoRA export and the other is ControlNet artifact format; not the same issue." + }, + { + "left": "issue:6176", + "right": "issue:6392", + "accept": false, + "reason": "Both involve LoRA loading, but one is post-training Dreambooth LoRA loading and the other is a custom LoRA load failure; insufficiently specific to merge." + }, + { + "left": "issue:7357", + "right": "issue:7420", + "accept": false, + "reason": "Performance regression with torch.compile/fuse_loras vs inability to use torch.compile at all." + }, + { + "left": "issue:13053", + "right": "issue:13067", + "accept": false, + "reason": "Separate feature requests for different pipelines/models." + }, + { + "left": "issue:4885", + "right": "issue:8532", + "accept": false, + "reason": "One is LoRA weights not loading in an SDXL ControlNet img2img pipeline; the other is progressive memory increase while loading LoRA weights." + }, + { + "left": "issue:1249", + "right": "issue:4073", + "accept": false, + "reason": "Different attribute errors in different subsystems: ONNX pipeline scheduler handling vs DeepFloyd IF safety checker." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 143, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1005", + "issue:10147", + "issue:10223", + "issue:10782", + "issue:1082", + "issue:10954", + "issue:10969", + "issue:11006", + "issue:11830", + "issue:12052", + "issue:1802", + "issue:1931", + "issue:2549", + "issue:3390", + "issue:3454", + "issue:3975", + "issue:4236", + "issue:4354", + "issue:4398", + "issue:4402", + "issue:4680", + "issue:4724", + "issue:4912", + "issue:5023", + "issue:5633", + "issue:5719", + "issue:5875", + "issue:5897", + "issue:5960", + "issue:6252", + "issue:6278", + "issue:6382", + "issue:6666", + "issue:692", + "issue:7420", + "issue:746", + "issue:761", + "issue:794", + "issue:7948", + "issue:7991", + "issue:8320", + "issue:8589", + "issue:8970", + "issue:9045", + "issue:9156", + "issue:9241", + "issue:9341", + "issue:9927" + ], + "soft_pairs": [ + "issue:3454|issue:6278", + "issue:10954|issue:9341", + "issue:4724|issue:6252", + "issue:5897|issue:9045", + "issue:7420|issue:8589", + "issue:5960|issue:9927", + "issue:10147|issue:7948", + "issue:11830|issue:8970", + "issue:3975|issue:794", + "issue:4354|issue:4402", + "issue:5023|issue:5875", + "issue:5633|issue:7991", + "issue:10223|issue:6382", + "issue:1005|issue:746", + "issue:1802|issue:1931", + "issue:11006|issue:12052", + "issue:10782|issue:8320", + "issue:1082|issue:761", + "issue:10969|issue:9156", + "issue:2549|issue:4236", + "issue:3390|issue:5719", + "issue:4398|issue:6666", + "issue:4680|issue:692", + "issue:4912|issue:9241" + ], + "prepared_review_unit_hash": "5f7064c826408b26cb89f8565c43e459afc8636c1fc4858addc1ec45c943ef24", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33992, + "estimated_input_tokens": 8498, + "estimated_eval_tokens": 17252 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are a loose set of unrelated diffusers issues spanning training bugs, pipeline regressions, feature requests, and documentation/questions. None of the proposed soft pairs look like the same underlying bug or change, so they should all remain separate.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a strong canonical representative because the cluster is not a true duplicate set; the items cover many distinct subsystems and symptoms.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3454", + "right": "issue:6278", + "accept": false, + "reason": "Both are training-script failures, but one is a DreamBooth/Lora script compatibility problem and the other is a multi-GPU LCM distillation issue; different code paths and failure modes." + }, + { + "left": "issue:10954", + "right": "issue:9341", + "accept": false, + "reason": "Both mention FLUX LoRA loading, but one is a ComfyUI-compatible LoRA failing to load and the other is a FLUX LoRA containing text_model weights; related area, not the same bug." + }, + { + "left": "issue:4724", + "right": "issue:6252", + "accept": false, + "reason": "One is SDXL img2img behavior with a base checkpoint, the other is LoRA weights not loading from a checkpoint; different model components and symptoms." + }, + { + "left": "issue:5897", + "right": "issue:9045", + "accept": false, + "reason": "Both are device-mismatch style training/runtime errors, but they involve different scripts and setups (LoRA training vs StableDiffusion3 accelerate/peft CUDA transfer)." + }, + { + "left": "issue:7420", + "right": "issue:8589", + "accept": false, + "reason": "torch.compile failure is not the same as SD3 DreamBooth prior-preservation support; one is a compiler/runtime compatibility issue, the other is a training-feature limitation." + }, + { + "left": "issue:5960", + "right": "issue:9927", + "accept": false, + "reason": "Both involve training-time warnings/errors, but one is invalid values during SDXL ControlNet image casting and the other is a HeaderTooLarge error in SDv3 ControlNet training; not the same defect." + }, + { + "left": "issue:10147", + "right": "issue:7948", + "accept": false, + "reason": "These are separate feature requests for different adapters (MV-Adapter vs MuLan) serving different use cases." + }, + { + "left": "issue:11830", + "right": "issue:8970", + "accept": false, + "reason": "Both report black outputs, but they are for different pipelines and triggers (FramePack float16 vs Kolors MPS), so they are not the same bug." + }, + { + "left": "issue:3975", + "right": "issue:794", + "accept": false, + "reason": "A typo in a safetensors install error message is unrelated to a generic better-error-message request for unsupported classes." + }, + { + "left": "issue:4354", + "right": "issue:4402", + "accept": false, + "reason": "Both involve StableDiffusionXLInpaintPipeline.from_single_file, but one is wrong returned pipeline type and the other is incorrect usage; not clearly the same underlying bug." + }, + { + "left": "issue:5023", + "right": "issue:5875", + "accept": false, + "reason": "WuerstchenCombinedPipeline import error and SDXL-to-ONNX conversion prompt error are unrelated pipeline/serialization issues." + }, + { + "left": "issue:5633", + "right": "issue:7991", + "accept": false, + "reason": "A bug in transformer_temporal.py is not the same as a basic training tutorial bug; code path and scope differ." + }, + { + "left": "issue:10223", + "right": "issue:6382", + "accept": false, + "reason": "A question about obtaining a LoRA ID in inference is unrelated to an IP-adapter key error during/after LCM LoRA training." + }, + { + "left": "issue:1005", + "right": "issue:746", + "accept": false, + "reason": "These are both old loading/scheduler-related issues, but one concerns timestep count limits and the other ONNX revision loading for Img2Img; not the same bug." + }, + { + "left": "issue:1802", + "right": "issue:1931", + "accept": false, + "reason": "One concerns encoder_hidden_states=None handling in unet_2d_condition, the other is a float16 dtype mismatch in SD2; distinct failures." + }, + { + "left": "issue:11006", + "right": "issue:12052", + "accept": false, + "reason": "Wan 2.1 I2V quantized-transformer video corruption and Wan 2.2 LightX2V device mismatch are different pipeline/version problems." + }, + { + "left": "issue:10782", + "right": "issue:8320", + "accept": false, + "reason": "Lumina Image 2.0 minor issue and from_single_file AutoencoderKL __name__ attribute error are unrelated." + }, + { + "left": "issue:1082", + "right": "issue:761", + "accept": false, + "reason": "DreamBooth CUDA cublas execution failure and DreamBooth 8-bit Adam training failure are different runtime issues with different causes." + }, + { + "left": "issue:10969", + "right": "issue:9156", + "accept": false, + "reason": "FLUX-ControlNet zero3 weight dimensionality error and Flux LoRA OOM are separate training failures, not the same bug." + }, + { + "left": "issue:2549", + "right": "issue:4236", + "accept": false, + "reason": "SD 2.0 UNet2DConditionModel not working and SDXL refiner text-encoder registration are different model-architecture issues." + }, + { + "left": "issue:3390", + "right": "issue:5719", + "accept": false, + "reason": "Loading local safetensors files and checking LoRA weight filenames first are related to loading, but they target different behaviors and code paths." + }, + { + "left": "issue:4398", + "right": "issue:6666", + "accept": false, + "reason": "All-black images in an SDXL LoRA DreamBooth pipeline and black validation images are too broad to equate; one is training output, the other validation output with no clear shared root cause." + }, + { + "left": "issue:4680", + "right": "issue:692", + "accept": false, + "reason": "A feature request for SDXL inpainting fine-tuning is unrelated to a generic request for an example of fine-tuning diffusion models." + }, + { + "left": "issue:4912", + "right": "issue:9241", + "accept": false, + "reason": "Converting custom CivitAI checkpoints to diffusers and converting XLab LoRA to diffusers LoRA are both conversion topics, but they are different source formats and scripts." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 144, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10210", + "issue:10227", + "issue:10492", + "issue:10715", + "issue:10743", + "issue:11033", + "issue:11209", + "issue:11224", + "issue:11436", + "issue:11489", + "issue:11791", + "issue:1214", + "issue:12673", + "issue:1434", + "issue:1672", + "issue:1695", + "issue:2036", + "issue:2156", + "issue:2507", + "issue:3296", + "issue:4185", + "issue:4808", + "issue:4840", + "issue:5274", + "issue:5529", + "issue:5575", + "issue:5630", + "issue:5821", + "issue:6107", + "issue:6906", + "issue:692", + "issue:7082", + "issue:7146", + "issue:7147", + "issue:7263", + "issue:7306", + "issue:752", + "issue:7619", + "issue:8543", + "issue:8557", + "issue:8708", + "issue:8955", + "issue:8970", + "issue:9142", + "issue:9156", + "issue:9202", + "issue:9297", + "issue:9602" + ], + "soft_pairs": [ + "issue:5821|issue:7306", + "issue:692|issue:752", + "issue:7263|issue:9202", + "issue:8557|issue:8708", + "issue:5529|issue:7146", + "issue:11033|issue:3296", + "issue:4808|issue:5630", + "issue:10492|issue:11209", + "issue:10492|issue:11224", + "issue:1434|issue:2507", + "issue:11489|issue:5274", + "issue:10715|issue:8970", + "issue:10743|issue:9156", + "issue:1695|issue:2156", + "issue:11436|issue:8955", + "issue:5575|issue:9602", + "issue:11791|issue:12673", + "issue:6906|issue:8543", + "issue:7082|issue:7147", + "issue:9142|issue:9297", + "issue:3296|issue:7619", + "issue:2036|issue:6107", + "issue:1672|issue:4185", + "issue:10210|issue:10227", + "issue:1214|issue:4840" + ], + "prepared_review_unit_hash": "54176f68c3131f8cf81b5eafe12d58b865129909aeeb55cc7d070506cca5d9ce", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34132, + "estimated_input_tokens": 8533, + "estimated_eval_tokens": 17322 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a loose collection of mostly unrelated issues; the soft pairs share only broad subsystem similarity, not the same concrete bug/change. I would not merge any of the soft-edge pairs.", + "confidence": 0.91, + "canonical_issue_reason": "issue:11209 is the earliest, most generic LoRA-loading report in the set and already has an inbound reference, so it is the best anchor among these issues.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11209 is the clearest representative for the LoRA-loading subgroup because its title is broad and directly describes the failure mode.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5821", + "right": "issue:7306", + "accept": false, + "reason": "Both are precision-related training/runtime errors, but they involve different models, code paths, and failure types (backward/CUDA vs float16 in a specific pipeline)." + }, + { + "left": "issue:692", + "right": "issue:752", + "accept": false, + "reason": "One asks for a fine-tuning example; the other requests multi-concept Dreambooth support. Related topic, not the same issue." + }, + { + "left": "issue:7263", + "right": "issue:9202", + "accept": false, + "reason": "Both mention IP-Adapter behavior, but they target different pipelines and failures (attention slicing vs FaceID Plus V2/PAG incompatibility)." + }, + { + "left": "issue:8557", + "right": "issue:8708", + "accept": false, + "reason": "Different SD3 training bugs: token limit handling versus missing VAE shift_factor config." + }, + { + "left": "issue:5529", + "right": "issue:7146", + "accept": false, + "reason": "train_text_to_image_sdxl.py bug vs SDXL fine-tuning CUDA OOM; different symptoms and likely different fixes." + }, + { + "left": "issue:11033", + "right": "issue:3296", + "accept": false, + "reason": "Both involve model loading/saving, but one is from_single_file UNet loading and the other is checkpoint save/load with text_encoder in Dreambooth." + }, + { + "left": "issue:4808", + "right": "issue:5630", + "accept": false, + "reason": "Different img2img pipelines and different problems: SHAP-E integration test failure vs leftover noise from LMS scheduler." + }, + { + "left": "issue:10492", + "right": "issue:11209", + "accept": false, + "reason": "torchao quantize/fuse error and LoRA loading error are distinct operations with no clear shared code-path." + }, + { + "left": "issue:10492", + "right": "issue:11224", + "accept": false, + "reason": "torchao quantize/fuse error and generic LoRA loading error are not the same concrete bug." + }, + { + "left": "issue:1434", + "right": "issue:2507", + "accept": false, + "reason": "OOM during upscaling and safetensors load-speed performance are unrelated." + }, + { + "left": "issue:11489", + "right": "issue:5274", + "accept": false, + "reason": "Different training scripts and failures: Flux LoRA training error vs mixed-precision dtype mismatch in unconditional image generation." + }, + { + "left": "issue:10715", + "right": "issue:8970", + "accept": false, + "reason": "Both produce black images, but on different hardware backends (ROCm vs MPS) and likely different root causes." + }, + { + "left": "issue:10743", + "right": "issue:9156", + "accept": false, + "reason": "Zero-3 support for FLUX training and Flux LoRA CUDA OOM are different training concerns." + }, + { + "left": "issue:1695", + "right": "issue:2156", + "accept": false, + "reason": "Multi-GPU/deepspeed training support is not the same as the example script incorrectly using CPU instead of GPU." + }, + { + "left": "issue:11436", + "right": "issue:8955", + "accept": false, + "reason": "Hidream dtype mismatch at inference and CLIPTextModelWithProjection state_dict loading errors are different failures." + }, + { + "left": "issue:5575", + "right": "issue:9602", + "accept": false, + "reason": "Hidden-size configuration in LoRA training is unrelated to adapter-name lookup failures." + }, + { + "left": "issue:11791", + "right": "issue:12673", + "accept": false, + "reason": "Both mention group offloading, but one is about loading LoRA weights after offloading and the other is a QwenImagePipeline record_stream incompatibility; not the same bug." + }, + { + "left": "issue:6906", + "right": "issue:8543", + "accept": false, + "reason": "Different Dreambooth example breakages for different models/features: LoRA example vs SD3 gradient checkpointing." + }, + { + "left": "issue:7082", + "right": "issue:7147", + "accept": false, + "reason": "Separate import errors for different symbols from different modules." + }, + { + "left": "issue:9142", + "right": "issue:9297", + "accept": false, + "reason": "Multiple-controlnet loading failure is unrelated to linear LoRA load-time slowdown." + }, + { + "left": "issue:3296", + "right": "issue:7619", + "accept": false, + "reason": "Both are Dreambooth training issues, but checkpoint/text_encoder save-load problems are not the same as the channel-count error." + }, + { + "left": "issue:2036", + "right": "issue:6107", + "accept": false, + "reason": "Model load OSError and IP-Adapter AWS runtime issue are different problems." + }, + { + "left": "issue:1672", + "right": "issue:4185", + "accept": false, + "reason": "Wrong output image size after conversion and SDXL ControlNet black images are unrelated." + }, + { + "left": "issue:10210", + "right": "issue:10227", + "accept": false, + "reason": "Img2Img near-identity output and LoRA feature-dimension NotImplementedError are distinct bugs." + }, + { + "left": "issue:1214", + "right": "issue:4840", + "accept": false, + "reason": "Half-precision CLIPTextModel behavior and FlaxAutoencoderKL torch-checkpoint loading are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 145, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10054", + "issue:10925", + "issue:10928", + "issue:11023", + "issue:11127", + "issue:11258", + "issue:11422", + "issue:11907", + "issue:1363", + "issue:1917", + "issue:2107", + "issue:2577", + "issue:2674", + "issue:3218", + "issue:3284", + "issue:3442", + "issue:3487", + "issue:3871", + "issue:3901", + "issue:4255", + "issue:4307", + "issue:4349", + "issue:4704", + "issue:4728", + "issue:4756", + "issue:5014", + "issue:5254", + "issue:5515", + "issue:5605", + "issue:5617", + "issue:6054", + "issue:6323", + "issue:6749", + "issue:6911", + "issue:7180", + "issue:7243", + "issue:7616", + "issue:771", + "issue:7948", + "issue:8309", + "issue:8414", + "issue:8738", + "issue:8879", + "issue:9091", + "issue:9202", + "issue:9514", + "issue:9841", + "issue:9856" + ], + "soft_pairs": [ + "issue:1363|issue:4307", + "issue:10925|issue:9514", + "issue:3284|issue:4704", + "issue:11907|issue:9202", + "issue:1917|issue:5605", + "issue:2674|issue:771", + "issue:7243|issue:7948", + "issue:2577|issue:3442", + "issue:3871|issue:4728", + "issue:11023|issue:7616", + "issue:11127|issue:11258", + "issue:6323|issue:9856", + "issue:10928|issue:3901", + "issue:6911|issue:8738", + "issue:8309|issue:8414", + "issue:10054|issue:6054", + "issue:4756|issue:5014", + "issue:5254|issue:7180", + "issue:11422|issue:9841", + "issue:2107|issue:4255", + "issue:3487|issue:6749", + "issue:4349|issue:5515", + "issue:3218|issue:5617", + "issue:8879|issue:9091" + ], + "prepared_review_unit_hash": "b824c227d4a0bb7844cff1cccb4a8a590fb35bf0cb21e8dc81c39d5e37c63e08", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34589, + "estimated_input_tokens": 8648, + "estimated_eval_tokens": 17552 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a false-positive mix of mostly unrelated issues. The only near-theme overlap is a small pair of EulerDiscreteScheduler reports, but they describe different bugs. No PRs are present, and no soft pair should be merged as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": "Issue 6054 is the most concrete, code-path-specific bug report in the set (EulerDiscreteScheduler set_timesteps misuse). It is clearer and more actionable than the broader support requests and unrelated runtime errors.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6054 is the strongest representative issue because it names a specific failing scheduler method and a concrete error mechanism, making it the best single issue anchor for this cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1363", + "right": "issue:4307", + "accept": false, + "reason": "Both mention loading/runtime errors, but one is ONNX long-prompt weighting with LMSDiscreteScheduler and the other is local_files_only from_pretrained behavior; different code paths and failure modes." + }, + { + "left": "issue:10925", + "right": "issue:9514", + "accept": false, + "reason": "Both are Flux-related model issues, but one is Dreambooth finetuning with CLIPTextModel and the other is LoRA loading after fp8 quantization; unrelated problems." + }, + { + "left": "issue:3284", + "right": "issue:4704", + "accept": false, + "reason": "Both concern training scripts failing, but one is accelerate integration for Dreambooth LoRA and the other is Custom Diffusion training; not the same bug." + }, + { + "left": "issue:11907", + "right": "issue:9202", + "accept": false, + "reason": "Flux scheduler incompatibility versus SDXL PAGPipeline/IP-Adapter compatibility; different models, pipelines, and error causes." + }, + { + "left": "issue:1917", + "right": "issue:5605", + "accept": false, + "reason": "One is a request for more integration tests, the other is a feature request for per-image captions; not duplicates." + }, + { + "left": "issue:2674", + "right": "issue:771", + "accept": false, + "reason": "Safetensors dependency/requirements issue versus BF16 dreambooth support; different environments and fixes." + }, + { + "left": "issue:7243", + "right": "issue:7948", + "accept": false, + "reason": "ResAdapter model request versus MuLan language adapter support; both are model-feature requests, but not the same change." + }, + { + "left": "issue:2577", + "right": "issue:3442", + "accept": false, + "reason": "DDIMInverseScheduler usage problem versus textual inversion embedding dimension mismatch; unrelated training/inference bugs." + }, + { + "left": "issue:3871", + "right": "issue:4728", + "accept": false, + "reason": "Checkpoint resume error in text-to-image training versus a different resume-from-checkpoint OOM report; same broad area, but not the same underlying issue." + }, + { + "left": "issue:11023", + "right": "issue:7616", + "accept": false, + "reason": "Both mention poor blur/artifact output, but one is a custom pipeline on Playground v2.5 and the other is low-denoise img2img artifacts; not the same concrete bug." + }, + { + "left": "issue:11127", + "right": "issue:11258", + "accept": false, + "reason": "Single-file Flux model loading failure versus LTX single-file support; different models and serialization/loading paths." + }, + { + "left": "issue:6323", + "right": "issue:9856", + "accept": false, + "reason": "One is a TensorRT pipeline attribute error, the other is a distributed port conflict; completely different failure modes." + }, + { + "left": "issue:10928", + "right": "issue:3901", + "accept": false, + "reason": "Missing diffusion_pytorch_model.fp16.bin in a model directory versus missing requirements.txt; both are file-not-found errors, but not the same artifact or fix." + }, + { + "left": "issue:6911", + "right": "issue:8738", + "accept": false, + "reason": "Class labels ignored in UNetConditional3DModel versus SD3Transformer2DModel configuration failure; different components and bugs." + }, + { + "left": "issue:8309", + "right": "issue:8414", + "accept": false, + "reason": "Conditional diffusion distillation request versus ConsistencyTTA model request; both are high-level research/model proposals, not duplicates." + }, + { + "left": "issue:10054", + "right": "issue:6054", + "accept": false, + "reason": "Both are EulerDiscreteScheduler bugs, but one is wrong torch.linspace parameters in beta-sigma testing while the other is torch.from_numpy misuse in set_timesteps; related but distinct code paths." + }, + { + "left": "issue:4756", + "right": "issue:5014", + "accept": false, + "reason": "SDXL dreambooth per-image caption support request versus poor results from dreambooth LoRA training; one is a feature request, the other a quality complaint." + }, + { + "left": "issue:5254", + "right": "issue:7180", + "accept": false, + "reason": "Multi-ControlNet support request versus SDXL image-to-image ControlNet CPU offload failure; different pipeline capabilities and bugs." + }, + { + "left": "issue:11422", + "right": "issue:9841", + "accept": false, + "reason": "Validation prompt crash in HiDream LoRA training versus TypeError in DreamBooth SDXL LoRA when use_dora is false; both training issues, but different parameters and stack paths." + }, + { + "left": "issue:2107", + "right": "issue:4255", + "accept": false, + "reason": "Low-resolution glitch/black images versus general 'results worse than sd-webui' comparison; too broad and not the same bug." + }, + { + "left": "issue:3487", + "right": "issue:6749", + "accept": false, + "reason": "EulerAncestralDiscreteScheduler poor inpaint results versus InstantID replication issues; different pipelines and symptom sets." + }, + { + "left": "issue:4349", + "right": "issue:5515", + "accept": false, + "reason": "Upscale pipeline requiring text_encoder despite prompt_embeds versus LCM pipeline initialization without scheduler; unrelated initialization contract issues." + }, + { + "left": "issue:3218", + "right": "issue:5617", + "accept": false, + "reason": "torch.compile graph breaks in attention/control_net versus compiled img2imgControlNet failing to load after save_pretrained; related to compilation, but not the same defect." + }, + { + "left": "issue:8879", + "right": "issue:9091", + "accept": false, + "reason": "torch.compile+cudagraph failure on StableDiffusionXL versus Torch Compile support for a VAE decoder; same tooling, but different subsystems and concrete failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 146, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10055", + "issue:10066", + "issue:10178", + "issue:10282", + "issue:10392", + "issue:10722", + "issue:12157", + "issue:12458", + "issue:13079", + "issue:13140", + "issue:1617", + "issue:1883", + "issue:2392", + "issue:2695", + "issue:3101", + "issue:3175", + "issue:3379", + "issue:3405", + "issue:4206", + "issue:4241", + "issue:455", + "issue:4726", + "issue:4885", + "issue:540", + "issue:5433", + "issue:5661", + "issue:5846", + "issue:5925", + "issue:5972", + "issue:6354", + "issue:6368", + "issue:6996", + "issue:7133", + "issue:7146", + "issue:7197", + "issue:752", + "issue:7593", + "issue:760", + "issue:7690", + "issue:7793", + "issue:8589", + "issue:9178", + "issue:9200", + "issue:9556", + "issue:9558", + "issue:9630", + "issue:9667", + "issue:9717" + ], + "soft_pairs": [ + "issue:10066|issue:6368", + "issue:10282|issue:12157", + "issue:1883|issue:540", + "issue:3379|issue:7690", + "issue:5433|issue:9556", + "issue:9667|issue:9717", + "issue:1617|issue:3175", + "issue:4726|issue:7593", + "issue:4885|issue:7793", + "issue:7197|issue:9558", + "issue:10178|issue:10722", + "issue:5972|issue:9630", + "issue:10055|issue:8589", + "issue:12458|issue:13140", + "issue:5925|issue:6354", + "issue:3379|issue:7133", + "issue:10392|issue:9178", + "issue:1617|issue:5846", + "issue:2695|issue:3101", + "issue:3405|issue:4206", + "issue:13079|issue:7146", + "issue:2392|issue:6996", + "issue:4241|issue:752", + "issue:455|issue:760", + "issue:5661|issue:9200" + ], + "prepared_review_unit_hash": "1e3f09078e0307d23eedf58c4174188dfef246c91a900ae0457eb3370ea91c98", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34574, + "estimated_input_tokens": 8644, + "estimated_eval_tokens": 17544 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This looks like a loose training/inference bug cluster spanning ControlNet, DreamBooth, Flux, and Qwen. None of the soft pairs appear to be true duplicates of the same underlying bug/change.", + "confidence": 0.91, + "canonical_issue_reason": "issue:4206 is the broadest ControlNet-training failure in the set and best matches the cluster\u2019s main theme; the other items are mostly narrower, unrelated, or model-specific failures.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:4206 is the most representative single issue for the overall ControlNet training problem space in this cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10066", + "right": "issue:6368", + "accept": false, + "reason": "Different failures: attention unpack error vs unsupported LoRA checkpoint alpha metadata." + }, + { + "left": "issue:10282", + "right": "issue:12157", + "accept": false, + "reason": "Different error paths: x_embedder weight shape mismatch vs torch.device iteration TypeError." + }, + { + "left": "issue:1883", + "right": "issue:540", + "accept": false, + "reason": "Both touch memory/efficiency, but one is VAE gradient checkpointing and the other is UNet placement on GPU; not the same bug/change." + }, + { + "left": "issue:3379", + "right": "issue:7690", + "accept": false, + "reason": "Different components: intermediate checkpoint loading vs tokenizer loading failure." + }, + { + "left": "issue:5433", + "right": "issue:9556", + "accept": false, + "reason": "Visual artifacts from a scheduler issue vs saved LoRA model problems with rslora; not the same issue." + }, + { + "left": "issue:9667", + "right": "issue:9717", + "accept": false, + "reason": "Both involve FLUX, but one is an fp8 model-loading issue and the other is a docker image error; distinct code paths." + }, + { + "left": "issue:1617", + "right": "issue:3175", + "accept": false, + "reason": "Generic argument parsing error vs multi-face DreamBooth training scenario; not the same failure." + }, + { + "left": "issue:4726", + "right": "issue:7593", + "accept": false, + "reason": "Incorrect callback typing vs missing image_projection_layers on a None pipeline object; unrelated bugs." + }, + { + "left": "issue:4885", + "right": "issue:7793", + "accept": false, + "reason": "Different LoRA-related errors in different pipelines/models; not the same underlying bug." + }, + { + "left": "issue:7197", + "right": "issue:9558", + "accept": false, + "reason": "Resume-training KeyError vs black validation image in TensorBoard; unrelated." + }, + { + "left": "issue:10178", + "right": "issue:10722", + "accept": false, + "reason": "Both are size mismatches, but they occur in different model parts and training flows; not clearly the same bug." + }, + { + "left": "issue:5972", + "right": "issue:9630", + "accept": false, + "reason": "Documentation/min-SNR weighting vs FLUX ControlNet runtime error; unrelated." + }, + { + "left": "issue:10055", + "right": "issue:8589", + "accept": false, + "reason": "Both are SD3 training issues, but one is ControlNet training script failure and the other is DreamBooth prior-preservation failure; different bugs." + }, + { + "left": "issue:12458", + "right": "issue:13140", + "accept": false, + "reason": "Batch inference feature request vs pipeline TypeError; related model family, but not the same underlying issue." + }, + { + "left": "issue:5925", + "right": "issue:6354", + "accept": false, + "reason": "Multi-LoRA inference feature request vs adding LoRA support for ControlNet; different changes." + }, + { + "left": "issue:3379", + "right": "issue:7133", + "accept": false, + "reason": "Both involve checkpoint/resume handling, but one is intermediate checkpoint loading and the other is text-encoder size mismatch on resume; not the same bug." + }, + { + "left": "issue:10392", + "right": "issue:9178", + "accept": false, + "reason": "Different FLUX LoRA training problems: one is a specific model/recipe combo, the other is PEFT target module resolution." + }, + { + "left": "issue:1617", + "right": "issue:5846", + "accept": false, + "reason": "Argument-required CLI failure vs resume_from_checkpoint error; different issue types." + }, + { + "left": "issue:2695", + "right": "issue:3101", + "accept": false, + "reason": "Validation/TensorBoard reporting bug vs ControlNet example training error; not the same code-path problem." + }, + { + "left": "issue:3405", + "right": "issue:4206", + "accept": false, + "reason": "Both mention ControlNet training, but one is a generic training-process bug and the other is specifically SDXL main-branch breakage; insufficient evidence of duplication." + }, + { + "left": "issue:13079", + "right": "issue:7146", + "accept": false, + "reason": "Different models and failures: FLUX.2-klein loop OOM vs SDXL fine-tuning OOM." + }, + { + "left": "issue:2392", + "right": "issue:6996", + "accept": false, + "reason": "Different NoneType conditioning errors in different pipelines; similar shape, but not the same bug." + }, + { + "left": "issue:4241", + "right": "issue:752", + "accept": false, + "reason": "Both are feature requests about training capability, but one is unidiffusers LoRA support and the other is DreamBooth multi-concept support." + }, + { + "left": "issue:455", + "right": "issue:760", + "accept": false, + "reason": "Both are MPS-related, but one is an aten::index.Tensor NotImplementedError and the other is unexpected output on MPS; different issues." + }, + { + "left": "issue:5661", + "right": "issue:9200", + "accept": false, + "reason": "Tokenizer import error vs SDXL ControlNet dtype error; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 147, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10049", + "issue:10227", + "issue:10540", + "issue:10653", + "issue:10937", + "issue:11241", + "issue:11435", + "issue:11749", + "issue:1185", + "issue:11864", + "issue:11989", + "issue:13104", + "issue:1375", + "issue:1541", + "issue:175", + "issue:2214", + "issue:2668", + "issue:3296", + "issue:3346", + "issue:3379", + "issue:3454", + "issue:3468", + "issue:3765", + "issue:4000", + "issue:4107", + "issue:4324", + "issue:4530", + "issue:4754", + "issue:5022", + "issue:5441", + "issue:5558", + "issue:5811", + "issue:6139", + "issue:6218", + "issue:6574", + "issue:6661", + "issue:7082", + "issue:7136", + "issue:7357", + "issue:776", + "issue:7785", + "issue:8729", + "issue:8915", + "issue:9142", + "issue:954", + "issue:9558", + "issue:9822", + "issue:988" + ], + "soft_pairs": [ + "issue:4530|issue:6574", + "issue:4107|issue:8729", + "issue:10227|issue:10653", + "issue:3379|issue:954", + "issue:5811|issue:7136", + "issue:3468|issue:4754", + "issue:5558|issue:9142", + "issue:1185|issue:1541", + "issue:4000|issue:7785", + "issue:11864|issue:13104", + "issue:3296|issue:4324", + "issue:5441|issue:6139", + "issue:11241|issue:11749", + "issue:2668|issue:6218", + "issue:3765|issue:6661", + "issue:10049|issue:8915", + "issue:10937|issue:7357", + "issue:1375|issue:5022", + "issue:175|issue:988", + "issue:11435|issue:7082", + "issue:10540|issue:9822", + "issue:2214|issue:776", + "issue:3346|issue:3454", + "issue:11989|issue:9558" + ], + "prepared_review_unit_hash": "2af57872a28822f5bd220bd20dcac470290b7f74f6b9c1874ec5c155ef41c659", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34190, + "estimated_input_tokens": 8548, + "estimated_eval_tokens": 17352 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is not a single duplicate cluster: the items span unrelated import errors, training bugs, scheduler issues, and visualization regressions. None of the soft pairs looks like the same underlying bug/change with enough confidence to merge.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4530", + "right": "issue:6574", + "accept": false, + "reason": "Both mention bad image output, but one is SDXL refiner artifacts and the other is an SVD tensor warning; different pipelines and symptoms." + }, + { + "left": "issue:4107", + "right": "issue:8729", + "accept": false, + "reason": "Both concern degraded images during SDXL-related workflows, but one is LoRA noise/quality and the other is a ControlNet validation-image issue in a different training script." + }, + { + "left": "issue:10227", + "right": "issue:10653", + "accept": false, + "reason": "Completely different failures: LoRA feature-dimension support vs bitsandbytes 8-bit .to() device \u057f\u0565\u0572\u0561\u0583\u0578\u056dation." + }, + { + "left": "issue:3379", + "right": "issue:954", + "accept": false, + "reason": "Dreambooth intermediate checkpoint loading is unrelated to a post-login load failure." + }, + { + "left": "issue:5811", + "right": "issue:7136", + "accept": false, + "reason": "Both are about `callback_on_step_end`, but one requests it across all pipelines while the other is a specific pipeline request; not the same concrete bug/change." + }, + { + "left": "issue:3468", + "right": "issue:4754", + "accept": false, + "reason": "Both involve `model_index.json`, but one is missing it after Dreambooth training and the other after textual inversion load; related symptom, different code paths." + }, + { + "left": "issue:5558", + "right": "issue:9142", + "accept": false, + "reason": "Different ControlNet problems: multi-ControlNet artifacts vs a Hunyuan DiT loading error with list `__module__`." + }, + { + "left": "issue:1185", + "right": "issue:1541", + "accept": false, + "reason": "Dreambooth non-reproducibility is not the same as CKPT/model-type detection failing to load." + }, + { + "left": "issue:4000", + "right": "issue:7785", + "accept": false, + "reason": "CKPT-to-diffusers conversion and first-inference slowness are unrelated issues." + }, + { + "left": "issue:11864", + "right": "issue:13104", + "accept": false, + "reason": "Both are `name not defined` errors, but for different missing symbols in different parts of the code." + }, + { + "left": "issue:3296", + "right": "issue:4324", + "accept": false, + "reason": "Checkpoint save/load with text encoder is unrelated to a UNet forward TypeError." + }, + { + "left": "issue:5441", + "right": "issue:6139", + "accept": false, + "reason": "Both mention `attn_processors`, but they affect different model classes and likely different regressions." + }, + { + "left": "issue:11241", + "right": "issue:11749", + "accept": false, + "reason": "A training-time floating point exception is not the same as scheduler timestep floating point inaccuracies." + }, + { + "left": "issue:2668", + "right": "issue:6218", + "accept": false, + "reason": "Both involve ControlNet/Img2Img pipelines, but one is image routing being wrong and the other is batched seeds behavior." + }, + { + "left": "issue:3765", + "right": "issue:6661", + "accept": false, + "reason": "ControlNet training artifacts and an MPS OOM are distinct problems." + }, + { + "left": "issue:10049", + "right": "issue:8915", + "accept": false, + "reason": "Different import errors for different pipeline classes; no shared underlying bug." + }, + { + "left": "issue:10937", + "right": "issue:7357", + "accept": false, + "reason": "One is a `torch.compile` failure in `vae.encode`, the other is a performance complaint despite compilation; not the same issue." + }, + { + "left": "issue:1375", + "right": "issue:5022", + "accept": false, + "reason": "Both are import regressions, but they involve different symbols, versions, and root causes." + }, + { + "left": "issue:175", + "right": "issue:988", + "accept": false, + "reason": "Manual-seed correctness in a training example is unrelated to FSDP training support." + }, + { + "left": "issue:11435", + "right": "issue:7082", + "accept": false, + "reason": "Different import failures in unrelated modules (`HiDreamImagePipeline` vs `accelerate.hooks.CpuOffload`)." + }, + { + "left": "issue:10540", + "right": "issue:9822", + "accept": false, + "reason": "Both mention Flux/SDXL, but one is `from_single_file` loading after Flux Fill support and the other is loading SDXL LoRAs into Flux." + }, + { + "left": "issue:2214", + "right": "issue:776", + "accept": false, + "reason": "NSFW filtering and batch-size>1 image-to-image behavior are unrelated." + }, + { + "left": "issue:3346", + "right": "issue:3454", + "accept": false, + "reason": "One is a feature request for checkpoint resume; the other is a broader script breakage on newer versions." + }, + { + "left": "issue:11989", + "right": "issue:9558", + "accept": false, + "reason": "Both mention black images, but one is inference output and the other is a black validation image in TensorBoard; likely different causes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 148, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10049", + "issue:10382", + "issue:10863", + "issue:11321", + "issue:11363", + "issue:11383", + "issue:11396", + "issue:11574", + "issue:12489", + "issue:1774", + "issue:1802", + "issue:1925", + "issue:1976", + "issue:2163", + "issue:2203", + "issue:2480", + "issue:2581", + "issue:2774", + "issue:2844", + "issue:3461", + "issue:3674", + "issue:3717", + "issue:3803", + "issue:4030", + "issue:4031", + "issue:4125", + "issue:455", + "issue:4615", + "issue:4835", + "issue:4935", + "issue:5540", + "issue:5647", + "issue:5875", + "issue:5956", + "issue:6250", + "issue:6362", + "issue:6435", + "issue:6713", + "issue:6899", + "issue:7082", + "issue:7431", + "issue:7483", + "issue:7785", + "issue:9063", + "issue:9154", + "issue:9178", + "issue:993" + ], + "soft_pairs": [ + "issue:11321|issue:9178", + "issue:2844|issue:4030", + "issue:2203|issue:2480", + "issue:455|issue:993", + "issue:1976|issue:6435", + "issue:4615|issue:7082", + "issue:2581|issue:2774", + "issue:5956|issue:6362", + "issue:1774|issue:5540", + "issue:10382|issue:11574", + "issue:2163|issue:4935", + "issue:5875|issue:7483", + "issue:6713|issue:6899", + "issue:3674|issue:4125", + "issue:3717|issue:3803", + "issue:4031|issue:6250", + "issue:7785|issue:9063", + "issue:10049|issue:7082", + "issue:1802|issue:1925", + "issue:3461|issue:7431", + "issue:4835|issue:5647", + "issue:10863|issue:9154", + "issue:11363|issue:12489", + "issue:11383|issue:11396" + ], + "prepared_review_unit_hash": "b2a05080e821d98b0f3b50563d0c93b1065562cb6f7d7943a01307f3ba542651", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33514, + "estimated_input_tokens": 8379, + "estimated_eval_tokens": 17014 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most suggested pairs are false positives: they share broad themes like ControlNet, LoRA, VAE, OOM, or import errors, but not the same concrete bug or change. No clear canonical duplicate issue emerges from this set.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11321", + "right": "issue:9178", + "accept": false, + "reason": "Both are Flux training-related, but one is a README/docs bug and the other is a PEFT target-module runtime error; different underlying problems." + }, + { + "left": "issue:2844", + "right": "issue:4030", + "accept": false, + "reason": "Both mention embedding-related runtime errors, but they affect different pipelines and failure modes; not the same bug." + }, + { + "left": "issue:2203", + "right": "issue:2480", + "accept": false, + "reason": "Both concern training script output paths, but one is about download location and the other about checkpoint folder structure; different issues." + }, + { + "left": "issue:455", + "right": "issue:993", + "accept": false, + "reason": "Both are dtype/device-related, but one is an MPS indexing limitation and the other is an fp16 mismatch in Stable Diffusion; not a duplicate." + }, + { + "left": "issue:1976", + "right": "issue:6435", + "accept": false, + "reason": "An incorrect file path error and a ControlNet width/height initialization bug are unrelated." + }, + { + "left": "issue:4615", + "right": "issue:7082", + "accept": false, + "reason": "Both are import errors, but for different symbols and dependencies; no shared code-path bug is evident." + }, + { + "left": "issue:2581", + "right": "issue:2774", + "accept": false, + "reason": "Both involve ControlNet conversion, but one is a feature/support request and the other is a specific conversion failure; not clearly the same bug." + }, + { + "left": "issue:5956", + "right": "issue:6362", + "accept": false, + "reason": "One is degraded fine-tuning performance, the other is dataset-mapping OOM; same area, different problems." + }, + { + "left": "issue:1774", + "right": "issue:5540", + "accept": false, + "reason": "Both are OOM reports, but they occur in different contexts and likely have different root causes." + }, + { + "left": "issue:10382", + "right": "issue:11574", + "accept": false, + "reason": "Both are VAE/encoder-related, but one is a return-type AttributeError and the other is a missing weight KeyError; not the same bug." + }, + { + "left": "issue:2163", + "right": "issue:4935", + "accept": false, + "reason": "A UNet dtype mismatch and a question about AttnProcsLayers usage are unrelated training issues." + }, + { + "left": "issue:5875", + "right": "issue:7483", + "accept": false, + "reason": "Both mention SDXL conversion, but they target different conversion paths and different failures." + }, + { + "left": "issue:6713", + "right": "issue:6899", + "accept": false, + "reason": "Same script family, but one reports HeaderTooLarge and the other is a generic bug report; insufficient evidence of the same underlying issue." + }, + { + "left": "issue:3674", + "right": "issue:4125", + "accept": false, + "reason": "Metadata.jsonl parsing and loss-curve questions are unrelated." + }, + { + "left": "issue:3717", + "right": "issue:3803", + "accept": false, + "reason": "Both are multi-GPU training issues, but one is OOM and the other is model sharing across GPUs; different defects." + }, + { + "left": "issue:4031", + "right": "issue:6250", + "accept": false, + "reason": "A local safety-checker loading failure and an SDXL VAE single-file KeyError are separate component bugs." + }, + { + "left": "issue:7785", + "right": "issue:9063", + "accept": false, + "reason": "Performance regression and tokenizer instantiation failure are unrelated." + }, + { + "left": "issue:10049", + "right": "issue:7082", + "accept": false, + "reason": "Both are import-related, but they concern different modules and failures." + }, + { + "left": "issue:1802", + "right": "issue:1925", + "accept": false, + "reason": "A conditioning-input behavior bug and a half-precision inpainting problem are not the same issue." + }, + { + "left": "issue:3461", + "right": "issue:7431", + "accept": false, + "reason": "Both are Dreambooth training topics, but they describe different optimization/training setups and different symptoms." + }, + { + "left": "issue:4835", + "right": "issue:5647", + "accept": false, + "reason": "Both are SDXL pipeline bugs, but they affect different pipelines and different trigger conditions." + }, + { + "left": "issue:10863", + "right": "issue:9154", + "accept": false, + "reason": "Both are model-file loading issues, but one is general safetensors loading and the other is VAE PT loading; not the same bug." + }, + { + "left": "issue:11363", + "right": "issue:12489", + "accept": false, + "reason": "Both mention ControlNet and CUDA, but one is OOM while the other is an sm_120 kernel compatibility failure." + }, + { + "left": "issue:11383", + "right": "issue:11396", + "accept": false, + "reason": "HiDream LoRA support and conversion-to-ComfyUI questions are related but distinct requests, not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 149, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10475", + "issue:12012", + "issue:12175", + "issue:1290", + "issue:1388", + "issue:1407", + "issue:1524", + "issue:1565", + "issue:1798", + "issue:1915", + "issue:1985", + "issue:2250", + "issue:2312", + "issue:2780", + "issue:2784", + "issue:2819", + "issue:2844", + "issue:3087", + "issue:3175", + "issue:3193", + "issue:3468", + "issue:3539", + "issue:381", + "issue:3871", + "issue:4241", + "issue:4304", + "issue:434", + "issue:4386", + "issue:4680", + "issue:5016", + "issue:5197", + "issue:5504", + "issue:5577", + "issue:5619", + "issue:5857", + "issue:5966", + "issue:6203", + "issue:6278", + "issue:6333", + "issue:7049", + "issue:7114", + "issue:7238", + "issue:7311", + "issue:7871", + "issue:7960", + "issue:8390", + "issue:9856" + ], + "soft_pairs": [ + "issue:1290|issue:1915", + "issue:1388|issue:1798", + "issue:1524|issue:2780", + "issue:1985|issue:3193", + "issue:2784|issue:3087", + "issue:3539|issue:6203", + "issue:381|issue:434", + "issue:3871|issue:5197", + "issue:4241|issue:4680", + "issue:4304|issue:4386", + "issue:5504|issue:6333", + "issue:5966|issue:8390", + "issue:6278|issue:7960", + "issue:7114|issue:7311", + "issue:3175|issue:5016", + "issue:7049|issue:7238", + "issue:5619|issue:5857", + "issue:5577|issue:7871", + "issue:10475|issue:12175", + "issue:2312|issue:2844", + "issue:1565|issue:9856", + "issue:12012|issue:1407", + "issue:1524|issue:2819", + "issue:2250|issue:3468" + ], + "prepared_review_unit_hash": "23cf9fd6bf4e063b2c7fb31167d5d01c710fc919404401d4c36bb061e9eb36ff", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33709, + "estimated_input_tokens": 8428, + "estimated_eval_tokens": 17112 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set; it mixes many unrelated diffusers issues across training, inference, ControlNet, LoRA, OOM, and distributed setup. I would not merge any of the soft-edge pairs.", + "confidence": 0.91, + "canonical_issue_reason": "issue:10475 is the broadest image-quality/fine-tuning regression among the set, but it is only a loose representative; the cluster as a whole does not center on one concrete bug.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10475 is the closest to a general, user-facing diffusion quality problem and is more representative than the very narrow error reports or feature requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1290", + "right": "issue:1915", + "accept": false, + "reason": "DreamArtist community request vs unclip weight hub-unification task; different features and different workflows." + }, + { + "left": "issue:1388", + "right": "issue:1798", + "accept": false, + "reason": "SD2 conversion-script adaptation vs Flax dreambooth v_prediction support; unrelated code paths." + }, + { + "left": "issue:1524", + "right": "issue:2780", + "accept": false, + "reason": "Textual inversion poor quality vs FP16 unscale gradient error in LoRA training; different failure modes." + }, + { + "left": "issue:1985", + "right": "issue:3193", + "accept": false, + "reason": "General embedding-loading UX request vs batch loading embeddings; same broad area but not the same underlying bug/change." + }, + { + "left": "issue:2784", + "right": "issue:3087", + "accept": false, + "reason": "Dreambooth support for text2video vs LyCORIS/LoCon/LoHA support; both feature requests, but not one concrete change." + }, + { + "left": "issue:3539", + "right": "issue:6203", + "accept": false, + "reason": "main_process_first question vs SDXL ControlNet image-size question; unrelated training/utilities topics." + }, + { + "left": "issue:381", + "right": "issue:434", + "accept": false, + "reason": "Notebook inference-pipeline error vs old notebook compatibility issue; too generic to be the same bug." + }, + { + "left": "issue:3871", + "right": "issue:5197", + "accept": false, + "reason": "Checkpoint resume error vs multi-GPU slowdown; both training-related but distinct problems." + }, + { + "left": "issue:4241", + "right": "issue:4680", + "accept": false, + "reason": "LoRA fine-tuning request for unidiffusers vs SDXL inpainting fine-tuning; different model/task requests." + }, + { + "left": "issue:4304", + "right": "issue:4386", + "accept": false, + "reason": "SDXL Text-to-Image LoRA support request vs converting an SDXL LoRA safetensor; not the same bug or change." + }, + { + "left": "issue:5504", + "right": "issue:6333", + "accept": false, + "reason": "PEFT LoRA xformers incompatibility vs finetuning a pre-trained LoRA by PEFT; overlapping topic, but not one concrete fix." + }, + { + "left": "issue:5966", + "right": "issue:8390", + "accept": false, + "reason": "Stable Diffusion 2.1 ControlNet support request vs Stable Cascade ControlNet training; different models and different work." + }, + { + "left": "issue:6278", + "right": "issue:7960", + "accept": false, + "reason": "Multi-GPU LCM distillation failure vs SDXL multi-GPU training failure; both distributed-training issues, but not the same code-path." + }, + { + "left": "issue:7114", + "right": "issue:7311", + "accept": false, + "reason": "CUDA OOM during SDXL training vs checkpoint save failure; distinct training-stage failures." + }, + { + "left": "issue:3175", + "right": "issue:5016", + "accept": false, + "reason": "Multi-face Dreambooth request vs SDXL Dreambooth LoRA text-encoder training bug; not the same issue." + }, + { + "left": "issue:7049", + "right": "issue:7238", + "accept": false, + "reason": "IP-Adapter unpacking error vs IP-Adapter masking feature; same subsystem, different problem/change." + }, + { + "left": "issue:5619", + "right": "issue:5857", + "accept": false, + "reason": "AutoencodeTiny img2img encode failure vs LCM LoRA quality on AnimateDiff SDXL; unrelated runtime bug vs quality issue." + }, + { + "left": "issue:5577", + "right": "issue:7871", + "accept": false, + "reason": "ControlNet single-file loading KeyError vs blockwise scales error with a LoRA; different model-loading and training paths." + }, + { + "left": "issue:10475", + "right": "issue:12175", + "accept": false, + "reason": "Both mention image quality, but one is an SD3 fine-tuning/inference comparison and the other is Qwen Image quality; too model-specific to be duplicates." + }, + { + "left": "issue:2312", + "right": "issue:2844", + "accept": false, + "reason": "EMA save hook error during text-to-image fine-tuning vs explicit image-embedding runtime error in StableUnCLIPImg2Img; unrelated." + }, + { + "left": "issue:1565", + "right": "issue:9856", + "accept": false, + "reason": "GPU selection/OOM complaint vs distributed port conflict; completely different resource-management issues." + }, + { + "left": "issue:12012", + "right": "issue:1407", + "accept": false, + "reason": "Wan 2.2 first-block cache context error vs Onnx pipeline feature_extractor regression; unrelated stack and failure." + }, + { + "left": "issue:1524", + "right": "issue:2819", + "accept": false, + "reason": "Poor SD2 textual-inversion training quality vs notebook download failure from raw.githubusercontent.com; not the same issue." + }, + { + "left": "issue:2250", + "right": "issue:3468", + "accept": false, + "reason": "Dreambooth inference prompt generation failure vs missing model_index.json after Dreambooth training; different stages and symptoms." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 150, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1005", + "issue:10066", + "issue:10337", + "issue:10972", + "issue:1181", + "issue:11833", + "issue:1261", + "issue:12689", + "issue:1407", + "issue:1865", + "issue:1969", + "issue:2439", + "issue:2444", + "issue:2507", + "issue:2775", + "issue:2786", + "issue:2893", + "issue:3061", + "issue:3198", + "issue:3808", + "issue:4186", + "issue:4366", + "issue:4782", + "issue:5023", + "issue:5224", + "issue:5226", + "issue:5327", + "issue:5455", + "issue:5737", + "issue:5892", + "issue:6239", + "issue:6383", + "issue:6435", + "issue:6713", + "issue:6815", + "issue:7003", + "issue:7049", + "issue:7357", + "issue:7978", + "issue:7985", + "issue:8450", + "issue:8832", + "issue:8854", + "issue:8955", + "issue:9497", + "issue:9810", + "issue:9876", + "issue:9913" + ], + "soft_pairs": [ + "issue:10337|issue:10972", + "issue:2507|issue:3198", + "issue:1181|issue:4366", + "issue:5226|issue:7978", + "issue:7357|issue:7985", + "issue:2439|issue:3061", + "issue:2893|issue:6435", + "issue:4782|issue:8450", + "issue:5023|issue:5892", + "issue:5737|issue:6713", + "issue:9876|issue:9913", + "issue:1261|issue:1969", + "issue:1865|issue:2444", + "issue:5327|issue:8854", + "issue:6815|issue:8832", + "issue:4186|issue:5224", + "issue:8955|issue:9497", + "issue:2775|issue:6239", + "issue:1005|issue:2786", + "issue:11833|issue:12689", + "issue:6383|issue:9810", + "issue:7003|issue:7049", + "issue:10066|issue:1407", + "issue:3808|issue:5455" + ], + "prepared_review_unit_hash": "1009a5ec7639e0f5e599fb4e67dc8ffb6cdfa7237ba123bad65a9e3c270f2280", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33944, + "estimated_input_tokens": 8486, + "estimated_eval_tokens": 17228 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous noise: the items span unrelated bugs, training issues, import errors, and pipeline-specific failures. Only the SDXL textual-inversion/embedding-loading pair looks plausibly duplicate-like.", + "confidence": 0.92, + "canonical_issue_reason": "No single cluster-wide canonical issue is a good fit because the set is not a coherent duplicate cluster; the only plausible duplicate sub-pair is the SDXL textual-inversion/embedding loading reports (5327/8854).", + "canonical_pr_reason": null, + "best_issue_reason": "If a single anchor is needed, issue 5327 is the clearest representative because it most directly names the SDXL textual-inversion loading failure shared with 8854.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10337", + "right": "issue:10972", + "accept": false, + "reason": "Both mention Flux/LoRA, but one is an IPAdapter failure under quantized transformers and the other is a LoRA checkpoint-loading problem; different code paths." + }, + { + "left": "issue:2507", + "right": "issue:3198", + "accept": false, + "reason": "One is a performance complaint about GPU safetensors loading, the other is a textual-inversion loading error; not the same bug." + }, + { + "left": "issue:1181", + "right": "issue:4366", + "accept": false, + "reason": "Training-from-scratch guidance and SDXL full-U-Net fine-tuning are different requests/issues, not the same defect." + }, + { + "left": "issue:5226", + "right": "issue:7978", + "accept": false, + "reason": "SDXLAdapterPipeline load_lora_weights failure and a missing torchvision nms operator are unrelated." + }, + { + "left": "issue:7357", + "right": "issue:7985", + "accept": false, + "reason": "Both involve torch.compile/Lora/IPAdapter, but they describe different failures and likely different fixes." + }, + { + "left": "issue:2439", + "right": "issue:3061", + "accept": false, + "reason": "Inpainting pipeline load/run problems and reproducibility issues are not the same underlying bug." + }, + { + "left": "issue:2893", + "right": "issue:6435", + "accept": false, + "reason": "Width/height swap in ControlNet is different from default width/height not being initialized." + }, + { + "left": "issue:4782", + "right": "issue:8450", + "accept": false, + "reason": "Both are inpainting-related, but mask leakage and SDXL refiner noise at strength=1.0 are distinct symptoms." + }, + { + "left": "issue:5023", + "right": "issue:5892", + "accept": false, + "reason": "A WuerstchenCombinedPipeline import error is not the same as a generic import error." + }, + { + "left": "issue:5737", + "right": "issue:6713", + "accept": false, + "reason": "Same script, but different failures: SDXL conversion failure vs HeaderTooLarge." + }, + { + "left": "issue:9876", + "right": "issue:9913", + "accept": false, + "reason": "VRAM not being released after LoRA training is a memory-lifecycle issue, while set_lora_device not working is a device-placement issue." + }, + { + "left": "issue:1261", + "right": "issue:1969", + "accept": false, + "reason": "Xformers backward-pass assert and a tensor view/stride RuntimeError are different low-level failures." + }, + { + "left": "issue:1865", + "right": "issue:2444", + "accept": false, + "reason": "Zero-stage3 SD2 dimension error and a non-zero exit from a Dreambooth inpaint script are not the same bug." + }, + { + "left": "issue:5327", + "right": "issue:8854", + "accept": true, + "reason": "Both report SDXL textual-inversion/textual-embedding loading failures, which look like the same underlying bug." + }, + { + "left": "issue:6815", + "right": "issue:8832", + "accept": false, + "reason": "Black-image casting warnings and a crash at pipe(prompt).images[0] are unrelated symptoms." + }, + { + "left": "issue:4186", + "right": "issue:5224", + "accept": false, + "reason": "SDXL inpaint/refiner failure and a Flax Stable Diffusion 2.1 error are different pipelines and bugs." + }, + { + "left": "issue:8955", + "right": "issue:9497", + "accept": false, + "reason": "A CLIPTextModelWithProjection state_dict load error is not the same as a Flux Dreambooth matmul shape error." + }, + { + "left": "issue:2775", + "right": "issue:6239", + "accept": false, + "reason": "torch._dynamo.optimize misuse and torch FX support for VAE sampling are different compiler-related issues." + }, + { + "left": "issue:1005", + "right": "issue:2786", + "accept": false, + "reason": "Scheduler timestep bounds and numpy-input compatibility in Depth2Img are unrelated." + }, + { + "left": "issue:11833", + "right": "issue:12689", + "accept": false, + "reason": "set_lora_device KeyError after loading and LoRA weights not loading from checkpoints are different failure points." + }, + { + "left": "issue:6383", + "right": "issue:9810", + "accept": false, + "reason": "Multi-stage learning rate support and module_to_save() support are different feature requests." + }, + { + "left": "issue:7003", + "right": "issue:7049", + "accept": false, + "reason": "Shape mismatch in inpaint weights and too-many-values-to-unpack in IP adapter are different runtime errors." + }, + { + "left": "issue:10066", + "right": "issue:1407", + "accept": false, + "reason": "A self.attn unpacking ValueError and an ONNX pipeline feature_extractor regression are not the same bug." + }, + { + "left": "issue:3808", + "right": "issue:5455", + "accept": false, + "reason": "DeepFloyd IF stage-2 training problems and a Dreambooth+lora notebook subprocess failure are different issues." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative: it treats the cluster as mostly heterogeneous and only elevates the clearly title-aligned SDXL textual-inversion/textual-embedding pair (5327/8854). The soft-edge verdicts are generally cautious and do not overclaim duplicate status from loose topical similarity." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 151, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1100", + "issue:11448", + "issue:11839", + "issue:12009", + "issue:12195", + "issue:12574", + "issue:13386", + "issue:1572", + "issue:1976", + "issue:2321", + "issue:2554", + "issue:2645", + "issue:3182", + "issue:3296", + "issue:3346", + "issue:3803", + "issue:3978", + "issue:4073", + "issue:4217", + "issue:4389", + "issue:455", + "issue:4911", + "issue:4985", + "issue:5023", + "issue:5412", + "issue:5799", + "issue:6176", + "issue:6238", + "issue:6287", + "issue:6351", + "issue:6407", + "issue:6598", + "issue:6602", + "issue:6639", + "issue:6793", + "issue:7180", + "issue:7421", + "issue:7466", + "issue:7483", + "issue:7864", + "issue:8274", + "issue:8414", + "issue:8494", + "issue:8805", + "issue:8898", + "issue:8939", + "issue:9091", + "issue:9767" + ], + "soft_pairs": [ + "issue:2645|issue:7180", + "issue:5799|issue:8494", + "issue:11448|issue:12195", + "issue:2321|issue:3803", + "issue:4073|issue:455", + "issue:3296|issue:4911", + "issue:6598|issue:6639", + "issue:7864|issue:8274", + "issue:3978|issue:7421", + "issue:11839|issue:12009", + "issue:3346|issue:5412", + "issue:4985|issue:6238", + "issue:4389|issue:6602", + "issue:7466|issue:9091", + "issue:1572|issue:3182", + "issue:1976|issue:8939", + "issue:2554|issue:5023", + "issue:6176|issue:9767", + "issue:6287|issue:8805", + "issue:1100|issue:6351", + "issue:12574|issue:13386", + "issue:4217|issue:8898", + "issue:6407|issue:8414", + "issue:6793|issue:7483" + ], + "prepared_review_unit_hash": "c1aafdff9f702ec69d0ce15f9cc1db245725552fa98cd7693f0a13bf829c8f98", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34745, + "estimated_input_tokens": 8687, + "estimated_eval_tokens": 17630 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it contains many unrelated issues across different pipelines, models, training scripts, and error classes. The soft matches are mostly superficial keyword similarities (e.g. CUDA/MPS, loading, LoRA, resume, tokenizer). No canonical issue or PR stands out.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2645", + "right": "issue:7180", + "accept": false, + "reason": "Both are device/offload-related, but one is a CUDA-on-MPS assertion and the other is an SDXL ControlNet cpu_offload failure; different code paths and symptoms." + }, + { + "left": "issue:5799", + "right": "issue:8494", + "accept": false, + "reason": "Different APIs and failures: inpainting strength keyword vs SD3 force_hooks argument handling." + }, + { + "left": "issue:11448", + "right": "issue:12195", + "accept": false, + "reason": "One is a missing model path for stable-unclip img2img; the other is a PyTorch 2.3.1 custom_op incompatibility in AutoencoderKL." + }, + { + "left": "issue:2321", + "right": "issue:3803", + "accept": false, + "reason": "EMA weight assignment in inference is unrelated to multi-GPU LoRA sharing during training." + }, + { + "left": "issue:4073", + "right": "issue:455", + "accept": false, + "reason": "Distinct runtime errors in different components: safety checker astype misuse vs MPS index.Tensor not implemented." + }, + { + "left": "issue:3296", + "right": "issue:4911", + "accept": false, + "reason": "Both involve text encoder/loading behavior, but one is checkpoint save/load in training and the other is custom text_encoder loading from_single_file; not the same bug." + }, + { + "left": "issue:6598", + "right": "issue:6639", + "accept": false, + "reason": "Both mention output differences, but one is generic img2img parity vs A1111 and the other is SDXL LoRA loading order producing different outputs." + }, + { + "left": "issue:7864", + "right": "issue:8274", + "accept": false, + "reason": "Completely different video-generation models and features; no shared bug." + }, + { + "left": "issue:3978", + "right": "issue:7421", + "accept": false, + "reason": "MPS img2img failure is unrelated to seed non-determinism in StableDiffusionXLKDiffusionPipeline." + }, + { + "left": "issue:11839", + "right": "issue:12009", + "accept": false, + "reason": "Both are GGUF loading errors, but they target different pipelines/models (FluxKontext vs Wan2.2) and different failure modes." + }, + { + "left": "issue:3346", + "right": "issue:5412", + "accept": false, + "reason": "Same general resume_from_checkpoint theme, but different scripts (dreambooth_lora vs dreambooth_lora_sdxl) and likely separate bugs." + }, + { + "left": "issue:4985", + "right": "issue:6238", + "accept": false, + "reason": "Training OOM for InstructPix2Pix SDXL is unrelated to an SDXL VAE issue." + }, + { + "left": "issue:4389", + "right": "issue:6602", + "accept": false, + "reason": "ControlNet loading error and fuse_lora/save_pretrained reload error are different code paths and problems." + }, + { + "left": "issue:7466", + "right": "issue:9091", + "accept": false, + "reason": "Both mention torch.compile, but one is multi-ControlNet SDXL inpaint and the other is a VAE decoder on stable-diffusion-v1-5; not the same change." + }, + { + "left": "issue:1572", + "right": "issue:3182", + "accept": false, + "reason": "Different pipeline failures: stable_diffusion_mega img2img/inpainting vs lpw_stable_diffusion with model CPU offload." + }, + { + "left": "issue:1976", + "right": "issue:8939", + "accept": false, + "reason": "Both are tokenizer-loading errors, but for different models and different missing-file conditions." + }, + { + "left": "issue:2554", + "right": "issue:5023", + "accept": false, + "reason": "An accelerate version requirement issue is unrelated to a WuerstchenCombinedPipeline import error." + }, + { + "left": "issue:6176", + "right": "issue:9767", + "accept": false, + "reason": "Both mention LoRA, but one is loading LoRA weights after dreambooth training and the other is a cuDNN frontend error in Flux image-to-image inference." + }, + { + "left": "issue:6287", + "right": "issue:8805", + "accept": false, + "reason": "Unused dependencies in setup.py is unrelated to an SDXL conversion script regression." + }, + { + "left": "issue:1100", + "right": "issue:6351", + "accept": false, + "reason": "CLIPTextTransformer missing device and DDP missing disable_adapters are unrelated attribute errors in different objects." + }, + { + "left": "issue:12574", + "right": "issue:13386", + "accept": false, + "reason": "WanVideoToVideoPipeline control-argument handling and qwen_image prior-preservation tensor concatenation are separate bugs." + }, + { + "left": "issue:4217", + "right": "issue:8898", + "accept": false, + "reason": "Slow safetensors loading is unrelated to a from_pretrained subfolder path validation error." + }, + { + "left": "issue:6407", + "right": "issue:8414", + "accept": false, + "reason": "Both are new-model announcements, not the same underlying issue or change." + }, + { + "left": "issue:6793", + "right": "issue:7483", + "accept": false, + "reason": "Hydra serialization failure and LoRA-to-Diffusers SDXL conversion failure are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 152, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10671", + "issue:10705", + "issue:10782", + "issue:11436", + "issue:11651", + "issue:11922", + "issue:1543", + "issue:1925", + "issue:2554", + "issue:2645", + "issue:2947", + "issue:3811", + "issue:3910", + "issue:4257", + "issue:4450", + "issue:4488", + "issue:4675", + "issue:4840", + "issue:5502", + "issue:5504", + "issue:5529", + "issue:5617", + "issue:5886", + "issue:5956", + "issue:6008", + "issue:6333", + "issue:6336", + "issue:6382", + "issue:6911", + "issue:7146", + "issue:7168", + "issue:7311", + "issue:7441", + "issue:7848", + "issue:785", + "issue:8504", + "issue:8511", + "issue:8555", + "issue:8613", + "issue:8874", + "issue:9136", + "issue:9171", + "issue:9187", + "issue:9488", + "issue:9500", + "issue:9726", + "issue:9914" + ], + "soft_pairs": [ + "issue:10705|issue:11436", + "issue:5886|issue:7168", + "issue:6333|issue:9914", + "issue:11651|issue:11922", + "issue:9500|issue:9726", + "issue:6911|issue:7441", + "issue:8504|issue:8555", + "issue:5529|issue:7311", + "issue:5956|issue:7146", + "issue:6336|issue:6382", + "issue:3910|issue:4488", + "issue:8874|issue:9171", + "issue:1925|issue:5504", + "issue:4840|issue:7848", + "issue:2554|issue:785", + "issue:10782|issue:9488", + "issue:2947|issue:3811", + "issue:4257|issue:4675", + "issue:4450|issue:8511", + "issue:6008|issue:9187", + "issue:6382|issue:9136", + "issue:1543|issue:5502", + "issue:2645|issue:5617", + "issue:10671|issue:8613" + ], + "prepared_review_unit_hash": "b99e6971f1a0c334e66c8f6b6317be9ac12457e432cab22222daffcbf20ec394", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33426, + "estimated_input_tokens": 8357, + "estimated_eval_tokens": 16970 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous: the soft pairs share broad subsystems (LoRA, IP-Adapter, Flux, SDXL, training scripts) but usually describe different bugs or features. The only likely duplicate-style match is the SDXL reference-only request pair.", + "confidence": 0.57, + "canonical_issue_reason": "Issue 4257 is the broadest and most central open request in the only near-duplicate pair: SDXL reference-only support (plus outpainting). Issue 4675 reads like a narrower version focused on ControlNet reference-only.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4257 is the best representative issue because it is open, broader in scope, and subsumes the more specific reference-only SDXL request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10705", + "right": "issue:11436", + "accept": false, + "reason": "Different symptoms and code paths: FluxPipeline reuse slowdown vs Hidream dtype mismatch." + }, + { + "left": "issue:5886", + "right": "issue:7168", + "accept": false, + "reason": "Both mention IP-Adapter, but one is face model support and the other is image embedding tensor shape handling." + }, + { + "left": "issue:6333", + "right": "issue:9914", + "accept": false, + "reason": "Both involve LoRA, but one is PEFT pre-trained LoRA finetuning and the other is loading a trained Flux LoRA in Xlabs." + }, + { + "left": "issue:11651", + "right": "issue:11922", + "accept": false, + "reason": "Related Flux Fill area, but one is loading flux-fill-lora with FluxControl and the other is a generic FLUX.1-Fill-dev running problem." + }, + { + "left": "issue:9500", + "right": "issue:9726", + "accept": false, + "reason": "Both are Flux dreambooth issues, but one is checkpoint saving and the other is multi-GPU training behavior." + }, + { + "left": "issue:6911", + "right": "issue:7441", + "accept": false, + "reason": "Unrelated: class labels in a 3D UNet vs pytest failing on Python 3.12." + }, + { + "left": "issue:8504", + "right": "issue:8555", + "accept": false, + "reason": "Both are SD3 text-encoder training feature requests, but they ask for different capabilities and are not the same change." + }, + { + "left": "issue:5529", + "right": "issue:7311", + "accept": false, + "reason": "Same training script family, but one is a generic bug and the other is specifically checkpoint saving." + }, + { + "left": "issue:5956", + "right": "issue:7146", + "accept": false, + "reason": "Both concern SDXL fine-tuning, but degraded quality and CUDA OOM are different problems." + }, + { + "left": "issue:6336", + "right": "issue:6382", + "accept": false, + "reason": "Different components: TensorRT VAE compilation with AutoencoderTiny vs IP-Adapter key error during LCM LoRA training/use." + }, + { + "left": "issue:3910", + "right": "issue:4488", + "accept": false, + "reason": "Different loading paths: LoRA weights failing to load vs SDXL checkpoint conversion without pipeline_class." + }, + { + "left": "issue:8874", + "right": "issue:9171", + "accept": false, + "reason": "Both are from_single_file() issues, but one is a torch weights_only unpickling failure and the other is a v_prediction regression." + }, + { + "left": "issue:1925", + "right": "issue:5504", + "accept": false, + "reason": "Both mention half precision or LoRA, but they are separate failures in different pipelines and features." + }, + { + "left": "issue:4840", + "right": "issue:7848", + "accept": false, + "reason": "Different problems: FlaxAutoencoderKL loading torch checkpoints vs an example script decoding issue." + }, + { + "left": "issue:2554", + "right": "issue:785", + "accept": false, + "reason": "No real overlap beyond general pipeline performance; accelerate version requirement and PNDM scheduler cost are unrelated." + }, + { + "left": "issue:10782", + "right": "issue:9488", + "accept": false, + "reason": "Both are Lumina-related, but one is a vague minor issue and the other is a pipeline that fails to generate at all." + }, + { + "left": "issue:2947", + "right": "issue:3811", + "accept": false, + "reason": "LoRA-related but not the same bug: missing load_attn_procs attribute vs load_lora_weights having no effect." + }, + { + "left": "issue:4257", + "right": "issue:4675", + "accept": true, + "reason": "Both are about SDXL reference-only support; 4675 looks like a narrower duplicate of the broader feature request in 4257." + }, + { + "left": "issue:4450", + "right": "issue:8511", + "accept": false, + "reason": "Different training problems: multi-text inversion not working vs SD3 training scripts not unloading text encoders." + }, + { + "left": "issue:6008", + "right": "issue:9187", + "accept": false, + "reason": "Both mention IP-Adapter and SDXL, but the failure modes and contexts differ: LCM LoRA face issue vs image_encoder_folder=None after Kolors update." + }, + { + "left": "issue:6382", + "right": "issue:9136", + "accept": false, + "reason": "Different IP-Adapter problems: a key error during training/use vs output quality varying by resolution." + }, + { + "left": "issue:1543", + "right": "issue:5502", + "accept": false, + "reason": "Separate fp16 issues in different scripts and workflows." + }, + { + "left": "issue:2645", + "right": "issue:5617", + "accept": false, + "reason": "Both involve ControlNet, but one is a macOS CUDA assertion and the other is save/load after torch.compile." + }, + { + "left": "issue:10671", + "right": "issue:8613", + "accept": false, + "reason": "Unrelated: deterministic dtype/device behavior in DiffusionPipeline vs an OOM caused by caption_column usage." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The assessment is grounded in the packet and stays conservative. The cluster is heterogeneous, and the only clearly duplicate-style pair is the SDXL reference-only pair (4257/4675), with 4257 reasonably serving as the broader canonical issue. The other soft-edge rejections are cautious and supported by the titles." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 153, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:1013", + "issue:10334", + "issue:10392", + "issue:10520", + "issue:1076", + "issue:10839", + "issue:10954", + "issue:1188", + "issue:1214", + "issue:12157", + "issue:12547", + "issue:1310", + "issue:1500", + "issue:1540", + "issue:1755", + "issue:1791", + "issue:1919", + "issue:1961", + "issue:2221", + "issue:2695", + "issue:3382", + "issue:3574", + "issue:3967", + "issue:4067", + "issue:4305", + "issue:4480", + "issue:4788", + "issue:4837", + "issue:5502", + "issue:5963", + "issue:6444", + "issue:6524", + "issue:6899", + "issue:6956", + "issue:7000", + "issue:7057", + "issue:7146", + "issue:7168", + "issue:7421", + "issue:7485", + "issue:7950", + "issue:8555", + "issue:8668", + "issue:8834", + "issue:8874", + "issue:8900", + "issue:9450" + ], + "soft_pairs": [ + "issue:6524|issue:7485", + "issue:7168|issue:9450", + "issue:1500|issue:4305", + "issue:1791|issue:4480", + "issue:10026|issue:3382", + "issue:12547|issue:7146", + "issue:2695|issue:6444", + "issue:4788|issue:6956", + "issue:10334|issue:10520", + "issue:1013|issue:3574", + "issue:1076|issue:1310", + "issue:3967|issue:7421", + "issue:4067|issue:7057", + "issue:4837|issue:6899", + "issue:5963|issue:8668", + "issue:8555|issue:8834", + "issue:10839|issue:12157", + "issue:1214|issue:5502", + "issue:8874|issue:8900", + "issue:7000|issue:7950", + "issue:1540|issue:1919", + "issue:10392|issue:10954", + "issue:1188|issue:1755", + "issue:1961|issue:2221" + ], + "prepared_review_unit_hash": "d5a6a0e631b67ed0009f4c1b1fbad4916e730ad957968909d033bc46f34dd5e7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34047, + "estimated_input_tokens": 8512, + "estimated_eval_tokens": 17280 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly heterogeneous. The only clear duplicate pair is the two exact \"colossalai error\" issues; the other soft pairs share broad themes but not the same concrete bug or change, so they should stay separate.", + "confidence": 0.84, + "canonical_issue_reason": "issue:2221 is the best canonical issue because it is the same exact report as issue:1961 and has more discussion/inbound references, making it the richer thread to keep.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2221 is the strongest representative among the issues here for the only true duplicate pair, with the fuller discussion and clearer consolidation target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6524", + "right": "issue:7485", + "accept": false, + "reason": "Different failure modes and code paths: a repeated LoRA load problem vs a safety_checker TypeError." + }, + { + "left": "issue:7168", + "right": "issue:9450", + "accept": false, + "reason": "Both mention tensor/device issues, but one is IP-Adapter embeds shape handling and the other is Flux multi-GPU device placement." + }, + { + "left": "issue:1500", + "right": "issue:4305", + "accept": false, + "reason": "Different version-compatibility problems in different contexts; one is a community pipeline API break, the other is a torch.compile graph break." + }, + { + "left": "issue:1791", + "right": "issue:4480", + "accept": false, + "reason": "Both are Mac/MPS related, but one is UnCLIP support and the other is float16 kernel crashes in StableDiffusionPipeline." + }, + { + "left": "issue:10026", + "right": "issue:3382", + "accept": false, + "reason": "Similar symptom of multi-GPU memory behavior, but different training scripts and different mechanisms; not the same concrete bug." + }, + { + "left": "issue:12547", + "right": "issue:7146", + "accept": false, + "reason": "Different Dreambooth/Flux I2I argument error vs SDXL fine-tuning OOM; no shared code-path." + }, + { + "left": "issue:2695", + "right": "issue:6444", + "accept": false, + "reason": "ControlNet validation/Tensorboard issue is unrelated to the CLIPTextModel peft_config AttributeError in Dreambooth LoRA." + }, + { + "left": "issue:4788", + "right": "issue:6956", + "accept": false, + "reason": "Both are OOM reports, but on different pipelines/platforms with different likely causes." + }, + { + "left": "issue:10334", + "right": "issue:10520", + "accept": false, + "reason": "Both concern Sana, but one is Mac/MPS grey images/NaNs and the other is a CUDA-vs-CPU device mismatch." + }, + { + "left": "issue:1013", + "right": "issue:3574", + "accept": false, + "reason": "Unrelated pipeline compatibility and Windows checkpoint conversion issues." + }, + { + "left": "issue:1076", + "right": "issue:1310", + "accept": false, + "reason": "Different topics entirely: model availability vs a K-Diffusion pipeline request." + }, + { + "left": "issue:3967", + "right": "issue:7421", + "accept": false, + "reason": "Branch deletion breakage is unrelated to seed handling in the KDiffusion XL pipeline." + }, + { + "left": "issue:4067", + "right": "issue:7057", + "accept": false, + "reason": "Lora scale inconsistency with prompt embeddings is unrelated to a checkpoint load failure." + }, + { + "left": "issue:4837", + "right": "issue:6899", + "accept": false, + "reason": "Same script family, but the reports are not clearly the same bug; one is an SDXL conversion failure, the other is a generic converter bug report." + }, + { + "left": "issue:5963", + "right": "issue:8668", + "accept": false, + "reason": "Different model/input invariants: Kandinsky embeds-vs-prompts vs SD3 image alignment requirements." + }, + { + "left": "issue:8555", + "right": "issue:8834", + "accept": false, + "reason": "A feature request for FP8/text encoder training is not the same as asking for SD3 ControlNet training code release." + }, + { + "left": "issue:10839", + "right": "issue:12157", + "accept": false, + "reason": "Different training failures and different models; no shared concrete bug." + }, + { + "left": "issue:1214", + "right": "issue:5502", + "accept": false, + "reason": "Both involve fp16, but one is a CLIPTextModel precision bug and the other is lack of fp16 support in a training script." + }, + { + "left": "issue:8874", + "right": "issue:8900", + "accept": false, + "reason": "Both are from_single_file loading questions, but they concern different formats/models and distinct failures." + }, + { + "left": "issue:7000", + "right": "issue:7950", + "accept": false, + "reason": "PyTorch compatibility in general, but one is a deprecation warning and the other is an incompatibility issue." + }, + { + "left": "issue:1540", + "right": "issue:1919", + "accept": false, + "reason": "Different Dreambooth setup problems: missing MODEL_TYPE vs missing datasets dependency." + }, + { + "left": "issue:10392", + "right": "issue:10954", + "accept": false, + "reason": "Both mention Flux LoRA, but one is an fp8 training setup and the other is a model-load failure in ComfyUI." + }, + { + "left": "issue:1188", + "right": "issue:1755", + "accept": false, + "reason": "Completely unrelated: a pipeline feature request vs an Arabic general-relations issue." + }, + { + "left": "issue:1961", + "right": "issue:2221", + "accept": true, + "reason": "Exact duplicate titles and same underlying ColossalAI error; 2221 is the richer thread, so it should absorb 1961." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The packet supports the key conclusion: the only clearly duplicative pair is issue:1961 and issue:2221, which share the same title and are plausibly the same report, with 2221 the richer thread. The other pairwise rejections are conservative and grounded in the issue titles/metadata rather than overstated evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 154, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1062", + "issue:13300", + "issue:2420", + "issue:2991", + "issue:3595", + "issue:3748", + "issue:378", + "issue:3811", + "issue:3958", + "issue:4030", + "issue:4080", + "issue:4086", + "issue:4186", + "issue:4236", + "issue:435", + "issue:4584", + "issue:4911", + "issue:5014", + "issue:556", + "issue:5593", + "issue:5606", + "issue:5678", + "issue:5873", + "issue:5890", + "issue:5963", + "issue:5972", + "issue:6351", + "issue:6382", + "issue:6790", + "issue:6794", + "issue:6832", + "issue:6865", + "issue:6928", + "issue:7082", + "issue:7286", + "issue:7322", + "issue:7492", + "issue:7801", + "issue:7962", + "issue:8604", + "issue:8626", + "issue:8880", + "issue:8975", + "issue:9178", + "issue:9393", + "issue:9420", + "issue:9515" + ], + "soft_pairs": [ + "issue:2991|issue:6790", + "issue:3811|issue:5606", + "issue:4080|issue:556", + "issue:7801|issue:9393", + "issue:5593|issue:5963", + "issue:4030|issue:4186", + "issue:6928|issue:7962", + "issue:9178|issue:9420", + "issue:4584|issue:7322", + "issue:6351|issue:6382", + "issue:3748|issue:3958", + "issue:7082|issue:8975", + "issue:2420|issue:5678", + "issue:5873|issue:9515", + "issue:6832|issue:8626", + "issue:3595|issue:4086", + "issue:5890|issue:8880", + "issue:4086|issue:5972", + "issue:1062|issue:5014", + "issue:4911|issue:7286", + "issue:4236|issue:8604", + "issue:7492|issue:7801", + "issue:6794|issue:6865", + "issue:13300|issue:5963", + "issue:378|issue:435" + ], + "prepared_review_unit_hash": "b5ab083ed3d71c95189edba768bd21604bfb7a91a68b1c86aef74cf11f92f04c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 34371, + "estimated_input_tokens": 8593, + "estimated_eval_tokens": 17442 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a duplicate cluster; the issues span unrelated diffusers features (LoRA, ControlNet, SDXL, imports, docs, and training/runtime errors). I found no soft pair that clearly describes the same underlying bug or change, so all candidate edges should be rejected.", + "confidence": 0.29, + "canonical_issue_reason": "issue:3811 is the most representative concrete regression here: LoRA weights load but have no effect on generation, which is a clear user-facing code-path bug with broad relevance.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3811 is the best global issue candidate because it is specific, reproducible, and broadly impactful compared with the more specialized or documentation-oriented reports in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2991", + "right": "issue:6790", + "accept": false, + "reason": "Different problems: mixed-precision failure in the ControlNet example vs a state_dict key mismatch in LCM training." + }, + { + "left": "issue:3811", + "right": "issue:5606", + "accept": false, + "reason": "Both involve LoRA loading, but one is about no effect on generation and the other about missing alpha handling; not the same bug." + }, + { + "left": "issue:4080", + "right": "issue:556", + "accept": false, + "reason": "Add inpainting for SDXL is a feature request, while seamless texture tiling is a separate output-mode request." + }, + { + "left": "issue:7801", + "right": "issue:9393", + "accept": false, + "reason": "Generic fp16/mixed-precision mismatch is unrelated to a deepspeed save-model failure in FLUX dreambooth LoRA training." + }, + { + "left": "issue:5593", + "right": "issue:5963", + "accept": false, + "reason": "AutoPipeline ControlNet conversion failure and Kandinsky embed-vs-prompt handling are distinct pipeline bugs." + }, + { + "left": "issue:4030", + "right": "issue:4186", + "accept": false, + "reason": "Stable Diffusion v2.1 embedding runtime error and SDXL inpaint/refiner failure affect different models and code paths." + }, + { + "left": "issue:6928", + "right": "issue:7962", + "accept": false, + "reason": "Depthmap colorization UI behavior is unrelated to adding cross_attention_kwargs to InstructPix2Pix." + }, + { + "left": "issue:9178", + "right": "issue:9420", + "accept": false, + "reason": "Flux LoRA PEFT target-module training error is separate from a saved transformer that later cannot be loaded." + }, + { + "left": "issue:4584", + "right": "issue:7322", + "accept": false, + "reason": "Resume-from-checkpoint training error and SIGKILL during dreambooth LoRA training are not the same failure." + }, + { + "left": "issue:6351", + "right": "issue:6382", + "accept": false, + "reason": "Missing disable_adapters on DDP and an IP-Adapter key error after training are different symptoms and fixes." + }, + { + "left": "issue:3748", + "right": "issue:3958", + "accept": false, + "reason": "Float16/float32 mismatch when loading a CivitAI LoRA is distinct from CPU offload behavior with civitai-format LoRA." + }, + { + "left": "issue:7082", + "right": "issue:8975", + "accept": false, + "reason": "Both are import errors, but they concern different symbols and likely different packaging/API breakages." + }, + { + "left": "issue:2420", + "right": "issue:5678", + "accept": false, + "reason": "xFormers memory-efficient attention training issue is not the same as higher-order-derivative failures with scaled_dot_product_attention." + }, + { + "left": "issue:5873", + "right": "issue:9515", + "accept": false, + "reason": "ONNX export support for scaled_dot_product_attention is unrelated to missing RMSNorm in JointAttnProcessor2_0." + }, + { + "left": "issue:6832", + "right": "issue:8626", + "accept": false, + "reason": "An AttributeError on tuple.shape in IP-Adapter Face ID is distinct from guidance/documentation for multiple IP adapter images and masks." + }, + { + "left": "issue:3595", + "right": "issue:4086", + "accept": false, + "reason": "from_ckpt loading failure and SDXL ControlNet training not working are different workflows and failure modes." + }, + { + "left": "issue:5890", + "right": "issue:8880", + "accept": false, + "reason": "Tokenizer length warning in a training script is unrelated to the inference speed regression across versions." + }, + { + "left": "issue:4086", + "right": "issue:5972", + "accept": false, + "reason": "A training bug in SDXL ControlNet is not the same as a documentation note about Min-SNR weighting." + }, + { + "left": "issue:1062", + "right": "issue:5014", + "accept": false, + "reason": "Dreambooth paper-result reproducibility complaints and LoRA training results not matching expectations are related only broadly, not the same bug." + }, + { + "left": "issue:4911", + "right": "issue:7286", + "accept": false, + "reason": "Loading a custom text encoder from_single_file and custom diffusion cross-attention weight loading are separate loading paths." + }, + { + "left": "issue:4236", + "right": "issue:8604", + "accept": false, + "reason": "SDXL refiner text-encoder registration and T5 float16 corruption are different model/component issues." + }, + { + "left": "issue:7492", + "right": "issue:7801", + "accept": false, + "reason": "A missing Hugging Face repository error is unrelated to mixed_precision not producing an fp16 model." + }, + { + "left": "issue:6794", + "right": "issue:6865", + "accept": false, + "reason": "An import error for cast_training_params and a missing Image-instance check in load_image are unrelated." + }, + { + "left": "issue:13300", + "right": "issue:5963", + "accept": false, + "reason": "CPU generation failures for SD3.5/FLUX and embeds-vs-prompts handling in Kandinsky are different bugs." + }, + { + "left": "issue:378", + "right": "issue:435", + "accept": false, + "reason": "These are both early training notebook bugs, but one is about DiagonalGaussianDistribution and the other about AutoencoderKLOutput.sample; not the same defect." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 155, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10025", + "issue:10066", + "issue:10311", + "issue:1197", + "issue:12609", + "issue:13258", + "issue:1985", + "issue:2324", + "issue:2599", + "issue:4037", + "issue:4086", + "issue:4236", + "issue:4337", + "issue:4405", + "issue:4933", + "issue:4964", + "issue:5227", + "issue:5433", + "issue:5594", + "issue:5737", + "issue:5932", + "issue:5953", + "issue:5956", + "issue:5966", + "issue:5967", + "issue:6093", + "issue:6258", + "issue:6382", + "issue:6388", + "issue:6441", + "issue:6536", + "issue:6790", + "issue:6794", + "issue:7057", + "issue:7420", + "issue:7466", + "issue:7483", + "issue:7882", + "issue:7985", + "issue:8547", + "issue:8555", + "issue:8645", + "issue:8668", + "issue:8673", + "issue:8879", + "issue:8887", + "issue:8906", + "issue:9101" + ], + "soft_pairs": [ + "issue:5953|issue:8668", + "issue:4337|issue:7985", + "issue:12609|issue:13258", + "issue:5433|issue:5737", + "issue:4964|issue:7483", + "issue:6382|issue:6790", + "issue:10066|issue:5932", + "issue:10025|issue:8673", + "issue:10311|issue:6794", + "issue:1197|issue:1985", + "issue:2324|issue:2599", + "issue:4037|issue:4086", + "issue:4405|issue:8887", + "issue:5227|issue:7466", + "issue:5594|issue:6388", + "issue:5966|issue:7882", + "issue:5967|issue:6258", + "issue:6093|issue:8547", + "issue:6441|issue:7057", + "issue:7420|issue:8879", + "issue:8555|issue:9101", + "issue:8645|issue:8906", + "issue:4236|issue:4933", + "issue:5956|issue:6536" + ], + "prepared_review_unit_hash": "8f315bf8adcfd2ec72d4072a717ef86805f8930370b0a57794a1ea2d4788904d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33815, + "estimated_input_tokens": 8454, + "estimated_eval_tokens": 17164 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose topical grouping of unrelated training, conversion, compile, and pipeline bugs. The only meaningful overlap is a small attention-mask/theme cluster (Flux/SD3), but the pairs are still not concrete duplicates, so I would not merge any soft edge.", + "confidence": 0.31, + "canonical_issue_reason": "issue:8673 is the clearest representative of the only real shared theme in the cluster: missing attention masking around text padding in SD3. It is specific, actionable, and closely related to the Flux attention-mask request.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8673 is the best single issue to anchor this cluster because it is concrete and central to the attention-mask subset, unlike the many unrelated compile/training/conversion reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5953", + "right": "issue:8668", + "accept": false, + "reason": "Both involve image-size/shape-related failures, but they affect different pipelines and different constraints; not the same concrete bug." + }, + { + "left": "issue:4337", + "right": "issue:7985", + "accept": false, + "reason": "Both mention torch.compile, but one is Community ControlNetReference and the other is IPAdapter; different code paths and failure modes." + }, + { + "left": "issue:12609", + "right": "issue:13258", + "accept": false, + "reason": "Unrelated Wan 2.2 latent NaNs vs missing image-to-video support; no shared bug." + }, + { + "left": "issue:5433", + "right": "issue:5737", + "accept": false, + "reason": "SDXL artifacts with DPM++ schedulers is unrelated to SDXL conversion script failure." + }, + { + "left": "issue:4964", + "right": "issue:7483", + "accept": false, + "reason": "Both are conversion-related, but they target different scripts and different model-conversion paths; not a duplicate bug." + }, + { + "left": "issue:6382", + "right": "issue:6790", + "accept": false, + "reason": "Both involve LCM/SDXL state_dict issues, but one is an IP-Adapter usage error after training and the other is a training-script key mismatch." + }, + { + "left": "issue:10066", + "right": "issue:5932", + "accept": false, + "reason": "Different runtime errors in different contexts; one is an unpacking error, the other is a channel mismatch." + }, + { + "left": "issue:10025", + "right": "issue:8673", + "accept": false, + "reason": "Both are about attention masks, but Flux vs SD3 are different models and the missing-mask contexts are not the same bug." + }, + { + "left": "issue:10311", + "right": "issue:6794", + "accept": false, + "reason": "Both are import errors, but they concern different symbols and different scripts." + }, + { + "left": "issue:1197", + "right": "issue:1985", + "accept": false, + "reason": "OpenAI Diffusion Pipeline request is unrelated to loading embeddings in Stable Diffusion Pipeline." + }, + { + "left": "issue:2324", + "right": "issue:2599", + "accept": false, + "reason": "Both are Dreambooth issues, but one is missing instance data ingestion and the other is multi-subject quality degradation." + }, + { + "left": "issue:4037", + "right": "issue:4086", + "accept": false, + "reason": "Both are ControlNet training problems, but FSDP validation errors and SDXL training not working are different issues." + }, + { + "left": "issue:4405", + "right": "issue:8887", + "accept": false, + "reason": "Different features/models: SDXL textual inversion script request vs SD3 VAE encode bug." + }, + { + "left": "issue:5227", + "right": "issue:7466", + "accept": false, + "reason": "Both touch torch.compile, but one is LoRA weight loading and the other is multi-ControlNet SDXL inpaint compilation; not the same defect." + }, + { + "left": "issue:5594", + "right": "issue:6388", + "accept": false, + "reason": "Related to SDXL+LoRA training, but memory-saving request vs gradient-checkpointing being ignored are different problems." + }, + { + "left": "issue:5966", + "right": "issue:7882", + "accept": false, + "reason": "Different functionality: ControlNet support for SD 2.1 vs missing from_single_file on T2I Adapter pipeline." + }, + { + "left": "issue:5967", + "right": "issue:6258", + "accept": false, + "reason": "Announcement post vs a Stable Video Diffusion quality regression; no duplicate relationship." + }, + { + "left": "issue:6093", + "right": "issue:8547", + "accept": false, + "reason": "Unrelated topics: push_to_hub repo creation in an SDXL LoRA script vs an LCM scaling bug." + }, + { + "left": "issue:6441", + "right": "issue:7057", + "accept": false, + "reason": "Generic from_pretrained/Colab issue is unrelated to a checkpoint loading problem for a specific model." + }, + { + "left": "issue:7420", + "right": "issue:8879", + "accept": false, + "reason": "Both involve torch.compile, but one is generic inability to use it and the other is a StableDiffusionXL cudagraph-specific failure." + }, + { + "left": "issue:8555", + "right": "issue:9101", + "accept": false, + "reason": "Different SD3 feature requests: FP8/text-encoder training vs an InstructPix2Pix training script." + }, + { + "left": "issue:8645", + "right": "issue:8906", + "accept": false, + "reason": "Both are missing-symbol reports, but they refer to different APIs/classes and different code areas." + }, + { + "left": "issue:4236", + "right": "issue:4933", + "accept": false, + "reason": "Both are SDXL-related, but one is a refiner text-encoder registration issue and the other is missing saved weights after Dreambooth training." + }, + { + "left": "issue:5956", + "right": "issue:6536", + "accept": false, + "reason": "Both concern training, but one is SD-XL LoRA performance degradation and the other is UNet3DConditionModel out-of-memory." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 156, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10017", + "issue:10030", + "issue:10180", + "issue:10381", + "issue:10839", + "issue:1896", + "issue:2218", + "issue:2272", + "issue:2312", + "issue:2891", + "issue:3235", + "issue:3348", + "issue:3420", + "issue:3432", + "issue:3481", + "issue:3494", + "issue:3651", + "issue:4306", + "issue:4446", + "issue:4619", + "issue:4631", + "issue:4634", + "issue:490", + "issue:5399", + "issue:5433", + "issue:5510", + "issue:5546", + "issue:5846", + "issue:6164", + "issue:6224", + "issue:6540", + "issue:6996", + "issue:720", + "issue:7538", + "issue:7629", + "issue:7960", + "issue:7972", + "issue:8514", + "issue:8578", + "issue:8644", + "issue:8874", + "issue:8915", + "issue:9096", + "issue:9108", + "issue:9309", + "issue:9410", + "issue:9732" + ], + "soft_pairs": [ + "issue:7629|issue:9309", + "issue:10017|issue:7538", + "issue:2272|issue:3420", + "issue:10839|issue:9732", + "issue:3481|issue:3494", + "issue:2218|issue:3348", + "issue:8915|issue:9410", + "issue:2891|issue:490", + "issue:2312|issue:4306", + "issue:8578|issue:8644", + "issue:10180|issue:9108", + "issue:4631|issue:720", + "issue:4619|issue:7972", + "issue:10381|issue:9096", + "issue:3235|issue:4634", + "issue:6164|issue:6996", + "issue:6224|issue:8514", + "issue:5433|issue:5546", + "issue:5399|issue:6540", + "issue:1896|issue:5510", + "issue:4446|issue:8874", + "issue:3432|issue:5846", + "issue:3651|issue:7960", + "issue:10030|issue:6996" + ], + "prepared_review_unit_hash": "e89508a4412e21b823b328e3aae3f8596f09c254b587af14d62733afec9f137b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33807, + "estimated_input_tokens": 8452, + "estimated_eval_tokens": 17160 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous set of unrelated issues; only one soft duplicate pair looks plausibly the same ControlNet added_cond_kwargs bug. No PRs are present.", + "confidence": 0.77, + "canonical_issue_reason": "issue:10030 is the clearest concrete bug report in the only plausible duplicate pair: it names the ControlNet img2img null added_cond_kwargs path that issue:6996 surfaces as a NoneType traceback.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10030 is the best issue anchor overall because it is specific, actionable, and most clearly captures the underlying ControlNet kwargs bug; the rest of the set are mostly distinct issues across different pipelines/training paths.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7629", + "right": "issue:9309", + "accept": false, + "reason": "Both involve Flux, but one is a PyTorch 1.13 OOM report and the other is a FluxControlNetPipeline bug; different failure modes and code paths." + }, + { + "left": "issue:10017", + "right": "issue:7538", + "accept": false, + "reason": "Both mention dataset loading/training, but they are about different dataset/setup problems with no clear shared bug." + }, + { + "left": "issue:2272", + "right": "issue:3420", + "accept": false, + "reason": "Checkpoint-to-ONNX conversion failure and a ControlNet inpaint pipeline incompatibility are unrelated." + }, + { + "left": "issue:10839", + "right": "issue:9732", + "accept": false, + "reason": "Both are Flux training reports, but one is a last-step LoRA training error and the other is an OOM during a guide workflow; not the same bug." + }, + { + "left": "issue:3481", + "right": "issue:3494", + "accept": false, + "reason": "One is about deterministic step differences affecting outputs, the other about corrupted images across schedulers; not the same issue." + }, + { + "left": "issue:2218", + "right": "issue:3348", + "accept": false, + "reason": "Overtrained models during training and xformers LoRA scale support are different concerns." + }, + { + "left": "issue:8915", + "right": "issue:9410", + "accept": false, + "reason": "Different missing import symbols for different pipelines; same namespace area, but not the same concrete defect." + }, + { + "left": "issue:2891", + "right": "issue:490", + "accept": false, + "reason": "Docs/support mismatch for embeddings in one pipeline versus a general memory problem; unrelated bugs." + }, + { + "left": "issue:2312", + "right": "issue:4306", + "accept": false, + "reason": "EMA save-hook failure and a reference pipeline index error are separate code paths." + }, + { + "left": "issue:8578", + "right": "issue:8644", + "accept": false, + "reason": "Both mention meta tensors, but they affect different pipelines and loading/offload flows." + }, + { + "left": "issue:10180", + "right": "issue:9108", + "accept": false, + "reason": "One is about loading multiple LoRAs with Flux Control LoRA, the other about resuming training with a quantized base model; different failure modes." + }, + { + "left": "issue:4631", + "right": "issue:720", + "accept": false, + "reason": "Both are tensor/scalar type-related runtime errors, but they occur in different schedulers and execution contexts." + }, + { + "left": "issue:4619", + "right": "issue:7972", + "accept": false, + "reason": "Different type-mismatch reports in different training/inference paths; no evidence they are the same bug." + }, + { + "left": "issue:10381", + "right": "issue:9096", + "accept": false, + "reason": "Both involve Flux inference problems, but one is a quantization+LoRA/Quanto issue and the other is NaNs with torch.half; not the same root cause." + }, + { + "left": "issue:3235", + "right": "issue:4634", + "accept": false, + "reason": "Custom Diffusion loading with biases and Custom Diffusion safe serialization are related area-wise but distinct defects." + }, + { + "left": "issue:6164", + "right": "issue:6996", + "accept": false, + "reason": "Different Stable Diffusion pipeline bugs: latent output handling versus a NoneType added_cond_kwargs traceback." + }, + { + "left": "issue:6224", + "right": "issue:8514", + "accept": false, + "reason": "TorchDynamo fine-tuning issue and EMAModel parallel fine-tuning error are separate training failures." + }, + { + "left": "issue:5433", + "right": "issue:5546", + "accept": false, + "reason": "Both concern schedulers, but one is visual artifacts and the other is incorrect step counts in an ensemble setup; not the same change." + }, + { + "left": "issue:5399", + "right": "issue:6540", + "accept": false, + "reason": "A dtype mismatch in custom inpainting inference and an FSDP mat2 matrix error during ControlNet finetuning are unrelated." + }, + { + "left": "issue:1896", + "right": "issue:5510", + "accept": false, + "reason": "Similar half/float wording, but they affect different pipelines and likely different underlying tensor handling bugs." + }, + { + "left": "issue:4446", + "right": "issue:8874", + "accept": false, + "reason": "Custom text_encoder loading from single-file checkpoint and CKPT unpickling/weights-only failure are distinct loading problems." + }, + { + "left": "issue:3432", + "right": "issue:5846", + "accept": false, + "reason": "CPU half-convolution runtime error versus checkpoint resume failure; no shared root cause." + }, + { + "left": "issue:3651", + "right": "issue:7960", + "accept": false, + "reason": "Both are multi-GPU training issues, but for different training setups and failure descriptions; too broad to merge." + }, + { + "left": "issue:10030", + "right": "issue:6996", + "accept": true, + "reason": "Both point to the same ControlNet added_cond_kwargs=None problem: 10030 describes the pipeline not supplying it, and 6996 shows the resulting NoneType error." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative: the only accepted soft pair, issue:10030 vs issue:6996, is supported by the titles and is plausibly the same ControlNet added_cond_kwargs bug. The other soft-edge rejections are appropriately cautious and do not overstate evidence. No PR mergeability concerns apply because no PRs are present." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 157, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10795", + "issue:10937", + "issue:11232", + "issue:11285", + "issue:11370", + "issue:1166", + "issue:12547", + "issue:1377", + "issue:1704", + "issue:2225", + "issue:2414", + "issue:2420", + "issue:3064", + "issue:3826", + "issue:4389", + "issue:4448", + "issue:4460", + "issue:4480", + "issue:455", + "issue:4688", + "issue:4954", + "issue:4993", + "issue:5012", + "issue:5128", + "issue:5152", + "issue:528", + "issue:5337", + "issue:5442", + "issue:5617", + "issue:5821", + "issue:5845", + "issue:6363", + "issue:6726", + "issue:6894", + "issue:7168", + "issue:7420", + "issue:7480", + "issue:7722", + "issue:7848", + "issue:8493", + "issue:8624", + "issue:867", + "issue:8738", + "issue:9187", + "issue:9516", + "issue:9660", + "issue:993" + ], + "soft_pairs": [ + "issue:1166|issue:4954", + "issue:2420|issue:6363", + "issue:3064|issue:5128", + "issue:5845|issue:9516", + "issue:6894|issue:7848", + "issue:7168|issue:7480", + "issue:1704|issue:528", + "issue:4993|issue:5152", + "issue:5128|issue:7722", + "issue:11370|issue:9187", + "issue:4480|issue:455", + "issue:3826|issue:5442", + "issue:10795|issue:10937", + "issue:11232|issue:12547", + "issue:4688|issue:6726", + "issue:1377|issue:2414", + "issue:2225|issue:5337", + "issue:11285|issue:8624", + "issue:5617|issue:7420", + "issue:5012|issue:5821", + "issue:867|issue:993", + "issue:8738|issue:9660", + "issue:4448|issue:4460", + "issue:4389|issue:8493" + ], + "prepared_review_unit_hash": "82ccb96f59eac1ab5c4fbc7471a8bb81026d3d65679e82a3f7a2f387db12b7e1", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33452, + "estimated_input_tokens": 8363, + "estimated_eval_tokens": 16982 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated issues that only share broad themes like torch.compile, loading, or training. I did not find any pair that clearly describes the same underlying bug/change, so all soft edges are rejected.", + "confidence": 0.9, + "canonical_issue_reason": "Issue #10795 is the most specific, concrete, and technically actionable report in the set: it names the exact failing path (torch.compile + from_single_file + GGUF transformer models) and reads like a well-scoped bug rather than a broad symptom.", + "canonical_pr_reason": null, + "best_issue_reason": "#10795 is the strongest standalone issue candidate because it has a precise reproduction surface and a clearly identifiable code path, making it the best representative if one issue must be chosen.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1166", + "right": "issue:4954", + "accept": false, + "reason": "Both involve textual inversion, but one is a save hang on TPU and the other is an _pickle.UnpicklingError when loading; different failure modes and likely different causes." + }, + { + "left": "issue:2420", + "right": "issue:6363", + "accept": false, + "reason": "Both are training-script errors, but one is an xFormers attention problem in LoRA training and the other is an FP16 gradient scaling error; not the same bug." + }, + { + "left": "issue:3064", + "right": "issue:5128", + "accept": false, + "reason": "Both mention .safetensors loading, but #3064 is about LoRA loading generally while #5128 is a specific XLPipeline.from_single_file local-file failure; too different to merge." + }, + { + "left": "issue:5845", + "right": "issue:9516", + "accept": false, + "reason": "DreamBooth/Pixart training failing is unrelated to FLUX not forwarding joint_attention_kwargs; different model family and different code path." + }, + { + "left": "issue:6894", + "right": "issue:7848", + "accept": false, + "reason": "Both are quality/behavior complaints in XL-related examples, but one is a LoRA compatibility issue and the other is a decoding problem in a community script; not the same underlying defect." + }, + { + "left": "issue:7168", + "right": "issue:7480", + "accept": false, + "reason": "IP-Adapter tensor-shape confusion and a DeepFloyd_IF OOM are unrelated symptoms with no shared root cause." + }, + { + "left": "issue:1704", + "right": "issue:528", + "accept": false, + "reason": "One is a generic attention-block question and the other is about flax model output classes; not a duplicate bug report." + }, + { + "left": "issue:4993", + "right": "issue:5152", + "accept": false, + "reason": "Import-structure exposure for CLIPImageProjection is unrelated to a W\u00fcrstchen alpha bug; no shared concrete failure." + }, + { + "left": "issue:5128", + "right": "issue:7722", + "accept": false, + "reason": "Both mention pipelines and loading, but one is a local safetensors load error and the other is an Animatediff ControlNet/IP-Adapter usage problem; different issues." + }, + { + "left": "issue:11370", + "right": "issue:9187", + "accept": false, + "reason": "A broken Hunyuan video converter and an SDXL IP-Adapter regression after Kolors update do not appear to share the same code path or bug." + }, + { + "left": "issue:4480", + "right": "issue:455", + "accept": false, + "reason": "Both are MPS-related failures, but one is a kernel crash with float16 generation and the other is a specific aten::index.Tensor NotImplementedError; too broad to treat as one bug." + }, + { + "left": "issue:3826", + "right": "issue:5442", + "accept": false, + "reason": "These are entirely different pipeline requests/features (Audio-Journey vs ScaleCrafter)." + }, + { + "left": "issue:10795", + "right": "issue:10937", + "accept": false, + "reason": "Both mention torch.compile, but one is about GGUF models loaded via from_single_file and the other is a VAE encode failure; different code paths and not mergeable as one fix." + }, + { + "left": "issue:11232", + "right": "issue:12547", + "accept": false, + "reason": "Fine-tuning noise residuals and a missing --instance_prompt argument are unrelated training problems." + }, + { + "left": "issue:4688", + "right": "issue:6726", + "accept": false, + "reason": "Different research/pipeline topics with no shared bug signature." + }, + { + "left": "issue:1377", + "right": "issue:2414", + "accept": false, + "reason": "One is a missing Transformers symbol/import-structure issue; the other is a NameError because transformers was never defined. Different root causes." + }, + { + "left": "issue:2225", + "right": "issue:5337", + "accept": false, + "reason": "A safety checker usage question and a callback explanation question are unrelated documentation/support topics, not duplicates." + }, + { + "left": "issue:11285", + "right": "issue:8624", + "accept": false, + "reason": "Conversion/value errors for stable diffusion are unrelated to an undefined CUDA symbol in SD3." + }, + { + "left": "issue:5617", + "right": "issue:7420", + "accept": false, + "reason": "Both involve torch.compile, but #5617 is specifically about saving/loading a compiled ControlNet pipeline while #7420 is a general inability to use torch.compile; not the same concrete bug." + }, + { + "left": "issue:5012", + "right": "issue:5821", + "accept": false, + "reason": "A LoRA text-encoder training issue and a CUDA backward failure are not the same problem." + }, + { + "left": "issue:867", + "right": "issue:993", + "accept": false, + "reason": "GPU memory not being released and an fp16 data-type mismatch are different bugs." + }, + { + "left": "issue:8738", + "right": "issue:9660", + "accept": false, + "reason": "An SD3Transformer2DModel configuration problem is unrelated to from_pretrained not switching modules to eval mode." + }, + { + "left": "issue:4448", + "right": "issue:4460", + "accept": false, + "reason": "Both describe output differences, but one is outpainting quality vs A1111 and the other is a broader stable-diffusion-vs-diffusers difference report; too vague and not the same concrete change." + }, + { + "left": "issue:4389", + "right": "issue:8493", + "accept": false, + "reason": "Both are model-loading errors, but ControlNetModel loading and SD3Transformer2DModel state_dict loading are different models and likely different fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 158, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10194", + "issue:10972", + "issue:11062", + "issue:11145", + "issue:12299", + "issue:12348", + "issue:1398", + "issue:1922", + "issue:2156", + "issue:2264", + "issue:2331", + "issue:2371", + "issue:2465", + "issue:2480", + "issue:3101", + "issue:3174", + "issue:3826", + "issue:3975", + "issue:4206", + "issue:4306", + "issue:4353", + "issue:4375", + "issue:4566", + "issue:4731", + "issue:4852", + "issue:5028", + "issue:5576", + "issue:5661", + "issue:5799", + "issue:6092", + "issue:6093", + "issue:6258", + "issue:6372", + "issue:7296", + "issue:7311", + "issue:7350", + "issue:7629", + "issue:7716", + "issue:7871", + "issue:7936", + "issue:867", + "issue:8900", + "issue:9044", + "issue:9204", + "issue:9501", + "issue:9613", + "issue:9902" + ], + "soft_pairs": [ + "issue:2156|issue:2480", + "issue:3826|issue:5576", + "issue:7311|issue:9501", + "issue:7871|issue:8900", + "issue:1398|issue:867", + "issue:3975|issue:7871", + "issue:7296|issue:9902", + "issue:3101|issue:4206", + "issue:2371|issue:2465", + "issue:4566|issue:7350", + "issue:12299|issue:12348", + "issue:5028|issue:5799", + "issue:10194|issue:11145", + "issue:2264|issue:4306", + "issue:10972|issue:11062", + "issue:2331|issue:6372", + "issue:6093|issue:9204", + "issue:4353|issue:6258", + "issue:6092|issue:9044", + "issue:3174|issue:4852", + "issue:7716|issue:7936", + "issue:7629|issue:9613", + "issue:4375|issue:4731", + "issue:1922|issue:5661" + ], + "prepared_review_unit_hash": "26891e2428f0764490ab0b00b50badcd800b038849d286fdf27aea7fec19eca0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33175, + "estimated_input_tokens": 8294, + "estimated_eval_tokens": 16844 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is thematically related around diffusion/Flux/LoRA/training features, but the issues point to different pipelines, different failure modes, and several feature requests. I do not see any soft pair that is the same underlying bug/change.", + "confidence": 0.38, + "canonical_issue_reason": "issue:9204 is the broadest umbrella item in the set: it targets FLUX.1 DreamBooth training support and best matches the cluster\u2019s shared Flux/training theme, even though many other items are separate bugs or narrower asks.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9204 is the most representative anchor for the cluster because it is the most general Flux/DreamBooth training issue and has substantial discussion activity.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2156", + "right": "issue:2480", + "accept": false, + "reason": "Different bugs: CPU-only training vs missing per-checkpoint UNet folder output." + }, + { + "left": "issue:3826", + "right": "issue:5576", + "accept": false, + "reason": "One is a new pipeline request; the other is a new scheduler request. Related domain, not the same change." + }, + { + "left": "issue:7311", + "right": "issue:9501", + "accept": false, + "reason": "Both involve Flux training/checkpointing, but one is a save-at-checkpoint failure and the other is delayed model saving; not the same concrete bug." + }, + { + "left": "issue:7871", + "right": "issue:8900", + "accept": false, + "reason": "Different code paths: blockwise scales with a specific LoRA vs loading an SDXL refiner from_single_file." + }, + { + "left": "issue:1398", + "right": "issue:867", + "accept": false, + "reason": "Apple Silicon/MPS SD2 issue is unrelated to a generic GPU memory leak in FastAPI." + }, + { + "left": "issue:3975", + "right": "issue:7871", + "accept": false, + "reason": "A typo in an error message is not the same issue as a blockwise-scales LoRA loading error." + }, + { + "left": "issue:7296", + "right": "issue:9902", + "accept": false, + "reason": "PEFT/DoRA dependency versioning is unrelated to Conda being stuck at 0.30.3." + }, + { + "left": "issue:3101", + "right": "issue:4206", + "accept": false, + "reason": "Both touch ControlNet training, but one is a training-example error and the other is an SDXL main-branch regression; not the same bug." + }, + { + "left": "issue:2371", + "right": "issue:2465", + "accept": false, + "reason": "Objects missing from Dreambooth output is unrelated to asking for a reproducible training recipe." + }, + { + "left": "issue:4566", + "right": "issue:7350", + "accept": false, + "reason": "Checkpoint resume for SDXL LoRA training is a different problem from initializing ControlNet from a UNet with LoRA." + }, + { + "left": "issue:12299", + "right": "issue:12348", + "accept": false, + "reason": "Both are tensor-mismatch reports, but they affect different pipelines/models and different triggers." + }, + { + "left": "issue:5028", + "right": "issue:5799", + "accept": false, + "reason": "Different pipelines and different API issues: an unexpected 'scale' kwarg vs an inpainting 'strength' kwarg question." + }, + { + "left": "issue:10194", + "right": "issue:11145", + "accept": false, + "reason": "Both are Flux-related feature requests, but one is about attention masking and the other about FLUX Fill LoRA/DreamBooth support." + }, + { + "left": "issue:2264", + "right": "issue:4306", + "accept": false, + "reason": "Seed-setting failure in InstructPix2Pix is a different bug than a list-index error in StableDiffusionReferencePipeline." + }, + { + "left": "issue:10972", + "right": "issue:11062", + "accept": false, + "reason": "Both are LoRA loading failures, but they involve different model sources and likely different compatibility paths." + }, + { + "left": "issue:2331", + "right": "issue:6372", + "accept": false, + "reason": "A generic ControlNet pipeline request is not the same as adding SVD+ControlNet support." + }, + { + "left": "issue:6093", + "right": "issue:9204", + "accept": false, + "reason": "Different scripts and different problems: repo creation in a consistency-model LoRA script vs FLUX.1 DreamBooth training support." + }, + { + "left": "issue:4353", + "right": "issue:6258", + "accept": false, + "reason": "Poor SDXL image quality is unrelated to forward chunking degrading Stable Video Diffusion output." + }, + { + "left": "issue:6092", + "right": "issue:9044", + "accept": false, + "reason": "Training not working is not the same as failing to load a specific SDXL base model file." + }, + { + "left": "issue:3174", + "right": "issue:4852", + "accept": false, + "reason": "New LoRA features breaking loading is broader than a specific 'error while loading lora' report; not enough evidence of one concrete bug." + }, + { + "left": "issue:7716", + "right": "issue:7936", + "accept": false, + "reason": "Missing config.json in a model directory is a different failure than invalid JSON while loading a local safetensors file." + }, + { + "left": "issue:7629", + "right": "issue:9613", + "accept": false, + "reason": "PyTorch-version OOM in SVD is unrelated to the 'Timesteps' object missing scale attribute." + }, + { + "left": "issue:4375", + "right": "issue:4731", + "accept": false, + "reason": "Both mention torch.compile, but they affect different pipelines and failure modes; not clearly the same fix." + }, + { + "left": "issue:1922", + "right": "issue:5661", + "accept": false, + "reason": "Undefined init_git_repo in a notebook is unrelated to a missing PreTrainedTokenizer name in diffusers 0.22.1." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 159, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10016", + "issue:10428", + "issue:10470", + "issue:10591", + "issue:10797", + "issue:10928", + "issue:1141", + "issue:1486", + "issue:1552", + "issue:1720", + "issue:1823", + "issue:1865", + "issue:1925", + "issue:1946", + "issue:2210", + "issue:228", + "issue:2442", + "issue:3224", + "issue:3296", + "issue:3452", + "issue:409", + "issue:4125", + "issue:4376", + "issue:4427", + "issue:4468", + "issue:4773", + "issue:4975", + "issue:5125", + "issue:5447", + "issue:547", + "issue:5606", + "issue:6176", + "issue:6183", + "issue:6280", + "issue:6362", + "issue:6382", + "issue:6385", + "issue:6527", + "issue:6602", + "issue:6632", + "issue:6722", + "issue:699", + "issue:7146", + "issue:7267", + "issue:7480", + "issue:7784", + "issue:785", + "issue:9803" + ], + "soft_pairs": [ + "issue:2210|issue:6722", + "issue:10016|issue:6183", + "issue:1552|issue:5447", + "issue:4125|issue:6362", + "issue:3296|issue:5125", + "issue:10428|issue:10470", + "issue:4376|issue:6527", + "issue:1486|issue:4468", + "issue:4773|issue:4975", + "issue:10470|issue:10797", + "issue:6385|issue:7146", + "issue:1925|issue:4427", + "issue:3224|issue:3452", + "issue:409|issue:785", + "issue:6176|issue:6602", + "issue:6280|issue:7784", + "issue:6382|issue:7480", + "issue:5606|issue:9803", + "issue:1720|issue:2442", + "issue:1865|issue:1946", + "issue:10591|issue:6632", + "issue:10928|issue:7267", + "issue:1141|issue:699", + "issue:1823|issue:547", + "issue:228|issue:547" + ], + "prepared_review_unit_hash": "6fea51cdf7d4a08006b36315250e860abb8d1b3e8032b6fa051de50cfe10a92f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34149, + "estimated_input_tokens": 8538, + "estimated_eval_tokens": 17332 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a true duplicate cluster; it\u2019s a collection of loosely related model-loading, training, and inference issues across different pipelines. None of the soft pairs look like the same underlying bug/change strongly enough to merge.", + "confidence": 0.82, + "canonical_issue_reason": "Issue 6183 is the best representative standalone bug report: it is concrete, reproducible, and describes a clear `from_single_file` shape-mismatch failure that could plausibly subsume the more specific SD3.5M variant in 10016.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6183 has the clearest failure mode and most canonical wording among the issue set, making it the strongest anchor if one issue must represent the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2210", + "right": "issue:6722", + "accept": false, + "reason": "Both mention text encoders, but one is LoRA training support and the other is SigLIP encoder usage; different feature requests, not the same bug/change." + }, + { + "left": "issue:10016", + "right": "issue:6183", + "accept": false, + "reason": "Both involve `from_single_file` shape issues, but they target different models and loading paths (SD3.5M vs SDXL); too specific to treat as the same bug." + }, + { + "left": "issue:1552", + "right": "issue:5447", + "accept": false, + "reason": "Attention slicing in SD2 and `denoising_start` with 2nd-order schedulers are unrelated code paths and failure modes." + }, + { + "left": "issue:4125", + "right": "issue:6362", + "accept": false, + "reason": "Loss-curve expectation for LoRA fine-tuning is not the same underlying issue as an OOM during SDXL dataset mapping." + }, + { + "left": "issue:3296", + "right": "issue:5125", + "accept": false, + "reason": "Checkpoint save/load with `text_encoder` and an XFormers CUDA configuration error are different bugs in different subsystems." + }, + { + "left": "issue:10428", + "right": "issue:10470", + "accept": false, + "reason": "Both are Flux-related inference problems, but one is Ascend NPU-specific and the other is torchao-related; not the same concrete bug." + }, + { + "left": "issue:4376", + "right": "issue:6527", + "accept": false, + "reason": "Textual inversion crash in SDXL and Euler scheduler `add_noise` behavior are separate issues." + }, + { + "left": "issue:1486", + "right": "issue:4468", + "accept": false, + "reason": "A DDIMScheduler prediction-type bug and a multi-GPU performance discrepancy are unrelated." + }, + { + "left": "issue:4773", + "right": "issue:4975", + "accept": false, + "reason": "Both concern LoRA loading, but one is a compatibility/loading report and the other is an efficiency issue from repeated datatype queries." + }, + { + "left": "issue:10470", + "right": "issue:10797", + "accept": false, + "reason": "Flux torchao inference failure and HunyuanVideo group-offloading failure are different pipelines and different mechanisms." + }, + { + "left": "issue:6385", + "right": "issue:7146", + "accept": false, + "reason": "StableVideoDiffusion VRAM usage and SDXL fine-tuning OOM are both memory-related but not the same bug or code path." + }, + { + "left": "issue:1925", + "right": "issue:4427", + "accept": false, + "reason": "Half-precision inpainting failure and the T2I Multiadapter example are unrelated." + }, + { + "left": "issue:3224", + "right": "issue:3452", + "accept": false, + "reason": "Duplicate learning-rate scaling logic and a 4GB VRAM training question do not describe the same underlying change." + }, + { + "left": "issue:409", + "right": "issue:785", + "accept": false, + "reason": "Missing `enable_attention_slicing` on the pipeline and PNDM scheduler cost are different issues." + }, + { + "left": "issue:6176", + "right": "issue:6602", + "accept": false, + "reason": "Both are LoRA/save/load related, but one concerns loading LoRA after DreamBooth LoRA training and the other concerns loading a fused pretrained model after save_pretrained; not the same fix." + }, + { + "left": "issue:6280", + "right": "issue:7784", + "accept": false, + "reason": "A missing `from_single_file` method and a missing `upcast_vae` attribute are distinct pipeline API bugs." + }, + { + "left": "issue:6382", + "right": "issue:7480", + "accept": false, + "reason": "IP-Adapter key errors during LCM LoRA training and DeepFloyd IF OOM are separate problems." + }, + { + "left": "issue:5606", + "right": "issue:9803", + "accept": false, + "reason": "LoRA loading with no alpha and Flux LoRA loading failure share a theme but not enough evidence of the same underlying bug." + }, + { + "left": "issue:1720", + "right": "issue:2442", + "accept": false, + "reason": "M1 Pro finetuning errors and inpainting loss-graph expectations are unrelated." + }, + { + "left": "issue:1865", + "right": "issue:1946", + "accept": false, + "reason": "DeepSpeed zero-stage dimension errors and XFormers CUDA invalid-argument errors are different failure modes." + }, + { + "left": "issue:10591", + "right": "issue:6632", + "accept": false, + "reason": "A bug in the SD3 LoRA training script is not the same as a question about whether `save_state` is necessary." + }, + { + "left": "issue:10928", + "right": "issue:7267", + "accept": false, + "reason": "Missing fp16 weight file in a UNet directory and broken local data loading in `train_controlnet.py` are different loading failures." + }, + { + "left": "issue:1141", + "right": "issue:699", + "accept": false, + "reason": "Local-file support in custom pipelines and negative prompt support are unrelated feature requests." + }, + { + "left": "issue:1823", + "right": "issue:547", + "accept": false, + "reason": "Swapped comments in depth2img and documentation for local Stable Diffusion loading are not the same issue." + }, + { + "left": "issue:228", + "right": "issue:547", + "accept": false, + "reason": "A broken release link and documentation for local loading are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 160, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10016", + "issue:10315", + "issue:10526", + "issue:10866", + "issue:11178", + "issue:11702", + "issue:12047", + "issue:13107", + "issue:1407", + "issue:1434", + "issue:2163", + "issue:2696", + "issue:3223", + "issue:3379", + "issue:3452", + "issue:3658", + "issue:3984", + "issue:4080", + "issue:4236", + "issue:4316", + "issue:434", + "issue:435", + "issue:4446", + "issue:4724", + "issue:5044", + "issue:5515", + "issue:6092", + "issue:6443", + "issue:6812", + "issue:6821", + "issue:7079", + "issue:7133", + "issue:7228", + "issue:7354", + "issue:7480", + "issue:7695", + "issue:771", + "issue:8464", + "issue:8477", + "issue:8482", + "issue:8589", + "issue:8874", + "issue:9164", + "issue:9358", + "issue:945", + "issue:9514", + "issue:9767", + "issue:9914" + ], + "soft_pairs": [ + "issue:3379|issue:945", + "issue:3452|issue:3658", + "issue:4080|issue:8482", + "issue:434|issue:435", + "issue:4724|issue:7695", + "issue:5515|issue:8464", + "issue:6812|issue:6821", + "issue:7133|issue:9358", + "issue:6092|issue:9164", + "issue:5044|issue:8874", + "issue:1434|issue:7480", + "issue:2163|issue:4316", + "issue:11702|issue:13107", + "issue:2696|issue:3223", + "issue:7079|issue:7228", + "issue:4446|issue:8589", + "issue:6443|issue:7354", + "issue:10526|issue:9514", + "issue:10016|issue:11178", + "issue:9767|issue:9914", + "issue:10315|issue:8477", + "issue:10866|issue:12047", + "issue:4236|issue:771", + "issue:1407|issue:3984" + ], + "prepared_review_unit_hash": "9374550123649b1b40ddd88fda0eae001a752ae856ee72ff894ba4a71a97fdfc", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34089, + "estimated_input_tokens": 8523, + "estimated_eval_tokens": 17302 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab-bag of unrelated Diffusers bug reports that only share broad wording around loading, training, LoRA, or model compatibility. None of the soft pairs look like the same underlying bug or change, so they should all be rejected as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": "issue:10016 is the clearest, most concrete report in the set: a specific from_single_file shape-mismatch failure with SD3.5M and pos_embed, with a well-defined code path and reproduction target.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10016 is the strongest representative issue because it is specific, actionable, and anchored to a concrete loader failure rather than a vague training or compatibility symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3379", + "right": "issue:945", + "accept": false, + "reason": "Both are checkpoint-loading problems, but one is DreamBooth intermediate checkpoint loading and the other is ONNX conversion of a custom checkpoint; different workflows and failure modes." + }, + { + "left": "issue:3452", + "right": "issue:3658", + "accept": false, + "reason": "One is a general low-VRAM DreamBooth training question, the other is a specific bug about extra noise latents in upsampler scripts; not the same underlying issue." + }, + { + "left": "issue:4080", + "right": "issue:8482", + "accept": false, + "reason": "One requests an SDXL inpainting pipeline, the other asks for SD3-medium support; different feature requests, not duplicates." + }, + { + "left": "issue:434", + "right": "issue:435", + "accept": false, + "reason": "Both mention notebook breakage, but one is about the training notebook after a version update and the other is a textual inversion object API error; different code paths." + }, + { + "left": "issue:4724", + "right": "issue:7695", + "accept": false, + "reason": "SDXL img2img behavior and an ip_adapter_masks attention-processor warning are unrelated pipeline issues." + }, + { + "left": "issue:5515", + "right": "issue:8464", + "accept": false, + "reason": "One is LCM pipeline initialization without a scheduler, the other is SEGA CPU offload with seed handling; different components and symptoms." + }, + { + "left": "issue:6812", + "right": "issue:6821", + "accept": false, + "reason": "A LoRA dtype mismatch in training is not the same as a CLI caption_column validation error; unrelated failures." + }, + { + "left": "issue:7133", + "right": "issue:9358", + "accept": false, + "reason": "Both involve Flux/LoRA text encoders, but one is checkpoint resume size mismatch and the other is redundant reinitialization during training; not the same bug." + }, + { + "left": "issue:6092", + "right": "issue:9164", + "accept": false, + "reason": "Both are LoRA training complaints, but one says the example does not train anything while the other says the dog example does not converge; different symptoms and likely different causes." + }, + { + "left": "issue:5044", + "right": "issue:8874", + "accept": false, + "reason": "Both are load failures, but Kandinsky 2.2 failing to load and a CKPT UnpicklingError in from_single_file are separate model-loading problems." + }, + { + "left": "issue:1434", + "right": "issue:7480", + "accept": false, + "reason": "Both are OOM reports, but they affect different pipelines and scenarios; not the same underlying memory issue." + }, + { + "left": "issue:2163", + "right": "issue:4316", + "accept": false, + "reason": "Both are training-script errors, but one is UNet dtype mismatch during text-to-image training and the other is validation-option failure in DreamBooth; unrelated." + }, + { + "left": "issue:11702", + "right": "issue:13107", + "accept": false, + "reason": "Both mention LoRA key errors, but they target different models and loading flows (AccVid vs Flux Klein); not enough to be the same bug." + }, + { + "left": "issue:2696", + "right": "issue:3223", + "accept": false, + "reason": "Torch CUDA install error and RAM not being cleared after moving a pipeline to CUDA are different environment/runtime issues." + }, + { + "left": "issue:7079", + "right": "issue:7228", + "accept": false, + "reason": "Transformer2DModel patch/norm_type error and traced-model missing dtype are distinct implementation bugs." + }, + { + "left": "issue:4446", + "right": "issue:8589", + "accept": false, + "reason": "Custom text_encoder loading in from_single_file and SD3 DreamBooth prior-preservation training are different problems in different parts of the stack." + }, + { + "left": "issue:6443", + "right": "issue:7354", + "accept": false, + "reason": "Scheduler compatibility for SAGPipeline and PNDMScheduler compatibility for DDPMPipeline are separate pipeline/scheduler issues." + }, + { + "left": "issue:10526", + "right": "issue:9514", + "accept": false, + "reason": "Both involve Flux and quantization/LoRA loading, but one is a WeightQBytesTensor construction error and the other is loading LoRA after fp8 quantization; different failure points." + }, + { + "left": "issue:10016", + "right": "issue:11178", + "accept": false, + "reason": "Both use from_single_file, but one is an SD3.5M pos_embed shape mismatch and the other is a MistoLine ControlNet load failure; different models and errors." + }, + { + "left": "issue:9767", + "right": "issue:9914", + "accept": false, + "reason": "Both concern Flux LoRA issues, but one is a cuDNN frontend runtime error in img2img and the other is loading a trained Xlabs LoRA; different code paths." + }, + { + "left": "issue:10315", + "right": "issue:8477", + "accept": false, + "reason": "A CogVideo training error and a DDP error in a research consistency script are unrelated training failures." + }, + { + "left": "issue:10866", + "right": "issue:12047", + "accept": false, + "reason": "Both are LoRA-related, but one is Lumina Image 2.0 LoRA compatibility and the other is fusing a Lightx2v LoRA on Wan2.2 GGUF; different model families and operations." + }, + { + "left": "issue:4236", + "right": "issue:771", + "accept": false, + "reason": "SDXL refiner text-encoder registration and BF16 DreamBooth support are unrelated issues." + }, + { + "left": "issue:1407", + "right": "issue:3984", + "accept": false, + "reason": "One is an ONNX pipeline regression caused by a PR, the other is a classifier-label requirement error; no shared bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 161, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10231", + "issue:1037", + "issue:10639", + "issue:11088", + "issue:11136", + "issue:1141", + "issue:12047", + "issue:12329", + "issue:13079", + "issue:1537", + "issue:1541", + "issue:1974", + "issue:2107", + "issue:2156", + "issue:2444", + "issue:2465", + "issue:2781", + "issue:3182", + "issue:3420", + "issue:3740", + "issue:4134", + "issue:4213", + "issue:4398", + "issue:4488", + "issue:4639", + "issue:5447", + "issue:5520", + "issue:5557", + "issue:5619", + "issue:5919", + "issue:6230", + "issue:6492", + "issue:6791", + "issue:6815", + "issue:6832", + "issue:6870", + "issue:7418", + "issue:7492", + "issue:7591", + "issue:7931", + "issue:8874", + "issue:8885", + "issue:8939", + "issue:9052", + "issue:9558", + "issue:9729", + "issue:9873" + ], + "soft_pairs": [ + "issue:4398|issue:6492", + "issue:2107|issue:6815", + "issue:2444|issue:4639", + "issue:1037|issue:1141", + "issue:10639|issue:9873", + "issue:2156|issue:2465", + "issue:2781|issue:5919", + "issue:5557|issue:9729", + "issue:7418|issue:8939", + "issue:6832|issue:7931", + "issue:12047|issue:12329", + "issue:5520|issue:7591", + "issue:5619|issue:9558", + "issue:8874|issue:9052", + "issue:6870|issue:7492", + "issue:3182|issue:3420", + "issue:6230|issue:6791", + "issue:1537|issue:4134", + "issue:1541|issue:4488", + "issue:11136|issue:13079", + "issue:1974|issue:5447", + "issue:10231|issue:8885", + "issue:3740|issue:4213", + "issue:11088|issue:12047" + ], + "prepared_review_unit_hash": "1d4eb3f697f74e59bcfb82b56223d1422409d6e4306858ff37d5fd72d6a5fc48", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 34047, + "estimated_input_tokens": 8512, + "estimated_eval_tokens": 17280 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated diffusers issues; only one soft edge looks like a true duplicate. The clearest match is the pair about `from_single_file` throwing `HeaderTooLarge`.", + "confidence": 0.81, + "canonical_issue_reason": "issue:7591 is the better canonical target for the `HeaderTooLarge` duplicate pair because it states the exact `from_single_file` reproduction (`local_files_only=True`) and the concrete error, making it more actionable and specific.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:7591 is the strongest overall issue in the set for duplicate triage because it is specific, diagnostic, and directly names the failing code path and error message.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4398", + "right": "issue:6492", + "accept": false, + "reason": "Both mention black images, but one is SDXL LoRA dreambooth output and the other is generic image generation; too broad to be the same bug." + }, + { + "left": "issue:2107", + "right": "issue:6815", + "accept": false, + "reason": "Similar symptom, but 2107 is low-resolution black/glitchy generation while 6815 is a tensorboard validation-image casting warning; different concrete causes." + }, + { + "left": "issue:2444", + "right": "issue:4639", + "accept": false, + "reason": "Different training scripts and different failures (`exit status 1` vs multiprocessing/data-loader error); not the same underlying bug." + }, + { + "left": "issue:1037", + "right": "issue:1141", + "accept": false, + "reason": "Community pipeline addition vs local-file support for custom pipelines; unrelated change requests." + }, + { + "left": "issue:10639", + "right": "issue:9873", + "accept": false, + "reason": "Both are pipeline feature requests, but for different models (`Lumina-Image 2.0` vs `OmniGen`); not mergeable as one change." + }, + { + "left": "issue:2156", + "right": "issue:2465", + "accept": false, + "reason": "Dreambooth training CPU-vs-GPU bug is unrelated to asking for a reproducible recipe/blog example." + }, + { + "left": "issue:2781", + "right": "issue:5919", + "accept": false, + "reason": "`_cuda_setDevice` with gloo data training and missing `set_lora_layer` are unrelated failures in different areas." + }, + { + "left": "issue:5557", + "right": "issue:9729", + "accept": false, + "reason": "Different error paths: unexpected `use_reentrant` kwarg vs unexpected save-model type for T5EncoderModel." + }, + { + "left": "issue:7418", + "right": "issue:8939", + "accept": false, + "reason": "Community pipeline bug vs tokenizer-loading failure for SD3; different subsystems and symptoms." + }, + { + "left": "issue:6832", + "right": "issue:7931", + "accept": false, + "reason": "Both involve IP-Adapter, but one is a tuple/shape error and the other is `ip_adapter_image_embeds` compatibility in a controlnet inpaint pipeline; not the same concrete bug." + }, + { + "left": "issue:12047", + "right": "issue:12329", + "accept": false, + "reason": "Both are Wan2.2/GGUF-adjacent, but one is LoRA fusion failing and the other is misclassifying a single-file transformer as Wan2.1; different code paths." + }, + { + "left": "issue:5520", + "right": "issue:7591", + "accept": true, + "reason": "Same `HeaderTooLarge` deserialization failure in the `from_single_file` path; `7591` adds the specific `local_files_only=True` reproduction, so these look like the same bug." + }, + { + "left": "issue:5619", + "right": "issue:9558", + "accept": false, + "reason": "One is an `AutoencodeTiny` encoding bug in LCM img2img; the other is black validation images in tensorboard training output." + }, + { + "left": "issue:8874", + "right": "issue:9052", + "accept": false, + "reason": "Both are `from_single_file` loading issues, but the reported failures differ (`UnpicklingError`/weights-only load vs certain civit checkpoints); not enough evidence of one root cause." + }, + { + "left": "issue:6870", + "right": "issue:7492", + "accept": false, + "reason": "VAE tiling missing in SD img2img/inpaint is unrelated to a repository-not-found error for `t2iadapter-model`." + }, + { + "left": "issue:3182", + "right": "issue:3420", + "accept": false, + "reason": "Different pipelines and failures: CPU offload with `lpw_stable_diffusion` vs ControlNet inpaint not working with the diffusion pipeline." + }, + { + "left": "issue:6230", + "right": "issue:6791", + "accept": false, + "reason": "Both concern the SDXL training script, but one is OOM and the other is a generic cannot-run report; too vague to treat as the same issue." + }, + { + "left": "issue:1537", + "right": "issue:4134", + "accept": false, + "reason": "Both mention Apple MPS, but the scheduler incompatibility and the ControlNet tensor-shape mismatch are separate bugs." + }, + { + "left": "issue:1541", + "right": "issue:4488", + "accept": false, + "reason": "Checkpoint-loading problems, but one is generic MODEL_TYPE detection for Dreambooth and the other is SDXL loading requiring `pipeline_class`; different root causes." + }, + { + "left": "issue:11136", + "right": "issue:13079", + "accept": false, + "reason": "SanaSprint intermediate timesteps support and FLUX.2-klein CUDA OOM are unrelated." + }, + { + "left": "issue:1974", + "right": "issue:5447", + "accept": false, + "reason": "Both involve schedulers, but one is generator-list reproducibility and the other is `denoising_start` with 2nd-order schedulers; not the same bug." + }, + { + "left": "issue:10231", + "right": "issue:8885", + "accept": false, + "reason": "ImportError in Ubuntu tutorial code is unrelated to clip-retrieval install/token loading in the Custom Diffusion example." + }, + { + "left": "issue:3740", + "right": "issue:4213", + "accept": false, + "reason": "Legacy attention block conversion with `device_map='sequential'` is unrelated to `from_single_file()` needing accelerate for SDXL." + }, + { + "left": "issue:11088", + "right": "issue:12047", + "accept": false, + "reason": "Both are Wan2.x/GGUF issues, but one is a GGUF transformer load error and the other is LoRA fusion failure on Wan2.2; different failures." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft edges. The lone accepted duplicate pair, issue:5520 and issue:7591, is well supported by the shared `from_single_file` / `HeaderTooLarge` failure, and the rest of the rejects avoid overstating similarity. The canonical issue choice is also reasonably justified by the more specific reproduction in issue:7591." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 162, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10281", + "issue:1049", + "issue:11135", + "issue:1141", + "issue:11978", + "issue:12149", + "issue:12547", + "issue:12574", + "issue:12722", + "issue:13079", + "issue:13232", + "issue:1614", + "issue:1730", + "issue:2747", + "issue:2785", + "issue:3045", + "issue:4002", + "issue:4213", + "issue:4321", + "issue:457", + "issue:4892", + "issue:4974", + "issue:5004", + "issue:5475", + "issue:5605", + "issue:5628", + "issue:5630", + "issue:5873", + "issue:6093", + "issue:6232", + "issue:660", + "issue:6928", + "issue:7053", + "issue:7080", + "issue:7142", + "issue:7168", + "issue:7752", + "issue:7882", + "issue:7978", + "issue:8792", + "issue:9161", + "issue:9186", + "issue:9227", + "issue:9448", + "issue:9576", + "issue:9673", + "issue:9942" + ], + "soft_pairs": [ + "issue:1049|issue:2747", + "issue:1141|issue:5605", + "issue:1614|issue:4321", + "issue:4002|issue:7882", + "issue:5873|issue:7053", + "issue:12547|issue:12574", + "issue:7168|issue:9448", + "issue:4892|issue:5475", + "issue:9161|issue:9227", + "issue:1730|issue:7752", + "issue:10281|issue:11135", + "issue:12722|issue:13079", + "issue:3045|issue:4974", + "issue:7882|issue:9186", + "issue:457|issue:660", + "issue:11978|issue:13232", + "issue:12149|issue:9942", + "issue:7080|issue:7142", + "issue:9576|issue:9673", + "issue:5628|issue:6232", + "issue:2785|issue:6928", + "issue:5004|issue:6093", + "issue:4213|issue:7978", + "issue:5630|issue:8792" + ], + "prepared_review_unit_hash": "283e23916877c79f3ce366844bcfe589283f6959c25a4fec830c285e4373a8df", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33633, + "estimated_input_tokens": 8409, + "estimated_eval_tokens": 17074 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated feature requests, training bugs, backend-specific runtime issues, packaging problems, and docs changes. None of the soft edges look like true duplicates, so all are rejected.", + "confidence": 0.93, + "canonical_issue_reason": "No single issue is a credible canonical duplicate target; the items span many unrelated code paths and problem types.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative for the cluster, because there is no shared underlying bug or change across the items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1049", + "right": "issue:2747", + "accept": false, + "reason": "Both are docs-related, but one is specifically Euler schedulers and the other is a generic docs update; not the same change." + }, + { + "left": "issue:1141", + "right": "issue:5605", + "accept": false, + "reason": "Custom pipeline local-file support and SDXL dreambooth per-image captions are unrelated features." + }, + { + "left": "issue:1614", + "right": "issue:4321", + "accept": false, + "reason": "Both mention black images, 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model safetensor conversion; not the same concrete request." + }, + { + "left": "issue:7882", + "right": "issue:9186", + "accept": false, + "reason": "Missing from_single_file support for T2I Adapter is unrelated to Differential Diffusion with ControlNet." + }, + { + "left": "issue:457", + "right": "issue:660", + "accept": false, + "reason": "Both are MPS-related, but blue artifacts and fp16-on-M1 behavior are different bugs." + }, + { + "left": "issue:11978", + "right": "issue:13232", + "accept": false, + "reason": "Bria 3.2 support and LTX-2.3 support are separate model additions." + }, + { + "left": "issue:12149", + "right": "issue:9942", + "accept": false, + "reason": "A pip/source alignment mismatch is not the same as a dev-version installation failure." + }, + { + "left": "issue:7080", + "right": "issue:7142", + "accept": false, + "reason": "SDXL ControlNet training output mismatch and SDXL-lightning inference mismatch are different symptoms with different setups." + }, + { + "left": "issue:9576", + "right": "issue:9673", + "accept": false, + "reason": "Passing use_safetensors to submodules and high CPU usage with multiple LoRAs are unrelated loading issues." + }, + { + "left": "issue:5628", + "right": "issue:6232", + "accept": false, + "reason": "These are distinct scheduler bugs affecting different methods and behaviors." + }, + { + "left": "issue:2785", + "right": "issue:6928", + "accept": false, + "reason": "M1/M2 text-to-video support and depthmap colorization toggling are unrelated feature requests." + }, + { + "left": "issue:5004", + "right": "issue:6093", + "accept": false, + "reason": "Checkpoint-resume failure in training and push_to_hub repo creation are different training-script problems." + }, + { + "left": "issue:4213", + "right": "issue:7978", + "accept": false, + "reason": "from_single_file support without accelerate is unrelated to the torchvision::nms runtime error." + }, + { + "left": "issue:5630", + "right": "issue:8792", + "accept": false, + "reason": "LMS scheduler noise in SDXL Img2Img and general image-quality degradation after migration are not the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 163, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1037", + "issue:10447", + "issue:10550", + "issue:10594", + "issue:10650", + "issue:1125", + "issue:12396", + "issue:12459", + "issue:12533", + "issue:12536", + "issue:1434", + "issue:1811", + "issue:1925", + "issue:1931", + "issue:2036", + "issue:2107", + "issue:2673", + "issue:2838", + "issue:3182", + "issue:4104", + "issue:4185", + "issue:4368", + 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"canonical_issue_reason": "No single issue cleanly represents the whole set, but #10550 is the strongest standalone anchor: it is concrete, well-discussed, and has external references, whereas most others are narrower one-off failures or feature requests.", + "canonical_pr_reason": null, + "best_issue_reason": "#10550 is the best representative issue because it describes a specific reproducible bug with broader discussion and references; it is more suitable as an anchor than the purely symptom-level or feature-request items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2107", + "right": "issue:4104", + "accept": false, + "reason": "Both mention black/glitchy image outputs, but one is tied to low-resolution inputs and the other to an invalid-value cast path; not clearly the same bug." + }, + { + "left": "issue:4402", + "right": "issue:8900", + "accept": false, + "reason": "Both concern SDXL single-file loading, but one is an inpaint pipeline failure and the other asks how to load a refiner checkpoint; different concrete code paths." + }, + { + "left": "issue:12459", + "right": "issue:9717", + "accept": false, + "reason": "One is a batch inference throughput complaint and the other is a docker image error; too different in failure mode and scope." + }, + { + "left": "issue:4726", + "right": "issue:4806", + "accept": false, + "reason": "Both are typing-related, but they target different APIs/classes and do not look like the same underlying bug." + }, + { + "left": "issue:5897", + "right": "issue:8826", + "accept": false, + "reason": "Device mismatch during LoRA training is unrelated to an empty-tensor concatenation runtime error." + }, + { + "left": "issue:10650", + "right": "issue:7003", + "accept": false, + "reason": "Both are shape/runtime errors, but they involve different models and different tensor mismatches; not the same bug." + }, + { + "left": "issue:8464", + "right": "issue:9637", + "accept": false, + "reason": "Seed handling with CPU offload is unrelated to XFormers attention-mask/bfloat16 constraints." + }, + { + "left": "issue:10447", + "right": "issue:7267", + "accept": false, + "reason": "One is a conversion script splitting UNet weights for large models; the other is local data loading in a training script." + }, + { + "left": "issue:6362", + "right": "issue:9523", + "accept": false, + "reason": "Dataset-mapping OOM and controlnet training mapping errors are both training-time issues, but not the same concrete defect." + }, + { + "left": "issue:2673", + "right": "issue:3182", + "accept": false, + "reason": "Both mention pipelines and offload-related failures, but one is an upscale pipeline config/image-input error and the other is a specific custom LPW pipeline CPU-offload incompatibility." + }, + { + "left": "issue:4368", + "right": "issue:8729", + "accept": false, + "reason": "LoRA training OOM is unrelated to an unexpected validation image in a controlnet training script." + }, + { + "left": "issue:12396", + "right": "issue:9856", + "accept": false, + "reason": "Adapter deletion with leaf_level errors and a distributed port collision are unrelated problems." + }, + { + "left": "issue:5399", + "right": "issue:5509", + "accept": false, + "reason": "A dtype mismatch in custom inpainting is not the same as an image batch-size mismatch for ndarray/cv2 inputs." + }, + { + "left": "issue:1037", + "right": "issue:2838", + "accept": false, + "reason": "A feature request to add a community pipeline is not a duplicate of a controlnet usage request." + }, + { + "left": "issue:1125", + "right": "issue:4605", + "accept": false, + "reason": "Both involve inpaint-related failures, but one is a Stable Diffusion Mega inpaint runtime error and the other is a long-prompt-weighting error with an inpaint model; too different to merge." + }, + { + "left": "issue:8839", + "right": "issue:9767", + "accept": false, + "reason": "LoRA weight loading in SD3 and a cuDNN frontend error in Flux img2img are separate model/runtime issues." + }, + { + "left": "issue:1811", + "right": "issue:5719", + "accept": false, + "reason": "Both concern weight-file selection order, but one is generic from_pretrained behavior and the other is LoRA-loading precedence; not the same bug." + }, + { + "left": "issue:4185", + "right": "issue:4476", + "accept": false, + "reason": "Both mention SDXL+ControlNet, but one reports black images at inference and the other poor expected results in fill50k training; different symptoms and likely causes." + }, + { + "left": "issue:1931", + "right": "issue:6164", + "accept": false, + "reason": "Float16 dtype failures and latent output handling are distinct issues in different parts of the pipeline." + }, + { + "left": "issue:7354", + "right": "issue:7660", + "accept": false, + "reason": "A scheduler compatibility issue and a trace example failure are not the same underlying problem." + }, + { + "left": "issue:12533", + "right": "issue:12536", + "accept": false, + "reason": "Both relate to context parallelism, but one is a hooks conflict with CPU offload while the other is a mesh-size divisibility assertion; different concrete bugs." + }, + { + "left": "issue:10550", + "right": "issue:10594", + "accept": false, + "reason": "Loading LoRA into a quantized base model is unrelated to combining multiple controls with LoRA on FLUX.1-dev." + }, + { + "left": "issue:1434", + "right": "issue:5215", + "accept": false, + "reason": "OOM during upscale and brightness shifts on dark source images are different symptoms with different likely causes." + }, + { + "left": "issue:1925", + "right": "issue:2036", + "accept": false, + "reason": "Stable-diffusion-2 inpainting half-precision failure is not the same as an OSError loading stable-diffusion-v1-4." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + 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"estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33414, + "estimated_input_tokens": 8354, + "estimated_eval_tokens": 16964 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose thematic grouping around diffusion/LoRA/pipeline issues, not a true duplicate set. The closest overlap is among Flux LoRA loading reports, but the concrete models, pipelines, and failure modes differ enough that none of the soft pairs should be merged.", + "confidence": 0.86, + "canonical_issue_reason": "Issue 11651 is the most representative single bug report: it clearly describes a concrete Flux/LoRA loading failure with a specific pipeline and repro context.", + "canonical_pr_reason": null, + "best_issue_reason": "11651 is the strongest anchor for the cluster because it is specific, actionable, and centrally aligned with the Flux LoRA-loading theme shared by only a subset of the items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:202", + "right": "issue:4001", + "accept": false, + "reason": "Unrelated test addition vs README demo request; no shared bug or code change." + }, + { + "left": "issue:2068", + "right": "issue:4488", + "accept": false, + "reason": "Different problems: dtype conversion in from_pretrained vs SDXL checkpoint loading without pipeline_class." + }, + { + "left": "issue:3595", + "right": "issue:4186", + "accept": false, + "reason": "Different loading paths and failures: from_ckpt conversion vs SDXL inpaint/refiner behavior." + }, + { + "left": "issue:4265", + "right": "issue:6823", + "accept": false, + "reason": "Both involve ControlNet, but one is an import error for SDXL ControlNetPipeline and the other is a generic cannot-use-controlnet report; not the same concrete issue." + }, + { + "left": "issue:4453", + "right": "issue:861", + "accept": false, + "reason": "Different conversions and target formats: SDXL LoRA conversion for A1111 vs ckpt-to-diffusers conversion." + }, + { + "left": "issue:5783", + "right": "issue:6234", + "accept": false, + "reason": "Both mention SDXL training examples, but one is EMA behavior and the other is a vague example script issue; insufficient evidence of the same bug." + }, + { + "left": "issue:7057", + "right": "issue:7441", + "accept": false, + "reason": "Different failure types and contexts: model checkpoint issue vs pytest on Python 3.12." + }, + { + "left": "issue:1544", + "right": "issue:2234", + "accept": false, + "reason": "Both are training-related, but one is a missing scheduler method and the other is xformers finetuning incompatibility; different code-path problems." + }, + { + "left": "issue:10026", + "right": "issue:12082", + "accept": false, + "reason": "Both mention memory, but one is Flux ControlNet/DeepSpeed multi-GPU training and the other is Wan2.1 VAE compile memory regression; not the same bug." + }, + { + "left": "issue:11651", + "right": "issue:13162", + "accept": false, + "reason": "Loading failure vs feature request for FLUX.2-klein-4b LoRA support; not the same underlying change or bug." + }, + { + "left": "issue:12299", + "right": "issue:12529", + "accept": false, + "reason": "Different models and symptoms: SD3 tensor mismatch with negative prompt embeddings vs Wan2.2 tiled VAE tensor size mismatch." + }, + { + "left": "issue:5545", + "right": "issue:5577", + "accept": false, + "reason": "Both are model-loading errors, but StableDiffusionInpaintPipeline use differs from ControlNetModel.from_single_file key mismatch." + }, + { + "left": "issue:4840", + "right": "issue:7985", + "accept": false, + "reason": "Different subsystems and failure modes: FlaxAutoencoderKL checkpoint loading vs IPAdapter with torch.compile." + }, + { + "left": "issue:3886", + "right": "issue:4801", + "accept": false, + "reason": "Distributed training timeout vs mixed-precision example bug; only broad training context overlaps." + }, + { + "left": "issue:10804", + "right": "issue:10952", + "accept": false, + "reason": "Both involve LoRA loading, but one is FLUX LoRA load failure and the other is SDXLLongPromptWeightingPipeline adapter-name mismatch; different pipelines and error paths." + }, + { + "left": "issue:5545", + "right": "issue:7210", + "accept": false, + "reason": "Different objects and failures: inpaint pipeline problem vs named_parameters missing during accelerate dispatch." + }, + { + "left": "issue:11687", + "right": "issue:11700", + "accept": false, + "reason": "Doc request vs implementation request for pruna integration; related topic, but not the same issue." + }, + { + "left": "issue:2462", + "right": "issue:4080", + "accept": false, + "reason": "IterableDataset training support vs SDXL inpainting pipeline feature request; not duplicates." + }, + { + "left": "issue:5344", + "right": "issue:9089", + "accept": false, + "reason": "Different missing dependency/import problems: omegaconf requirement vs FluxPipeline not found." + }, + { + "left": "issue:6894", + "right": "issue:9164", + "accept": false, + "reason": "Both concern LoRA training/output, but one is A1111 compatibility regression and the other is non-converging Flux dreambooth example; not the same code-path problem." + }, + { + "left": "issue:10287", + "right": "issue:11024", + "accept": false, + "reason": "Generic docs issue vs specific SiglipImageProcessor .to() method bug; no concrete overlap." + }, + { + "left": "issue:7690", + "right": "issue:9804", + "accept": false, + "reason": "Tokenizer loading failure vs ControlNetModel.from_pretrained local SDXL controlnet loading failure; different components." + }, + { + "left": "issue:8873", + "right": "issue:9576", + "accept": false, + "reason": "Performance regression with xformers vs use_safetensors propagation bug; unrelated." + }, + { + "left": "issue:9611", + "right": "issue:9895", + "accept": false, + "reason": "Both are Flux inference issues, but one is image batching and the other is device placement mismatch after a specific commit; different bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 165, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1061", + "issue:10722", + "issue:10863", + "issue:11046", + "issue:1475", + "issue:1534", + "issue:1867", + "issue:1949", + "issue:1988", + "issue:2052", + "issue:2161", + "issue:2163", + "issue:228", + "issue:2577", + "issue:2674", + "issue:2774", + "issue:2880", + "issue:3064", + "issue:3412", + "issue:381", + "issue:3871", + "issue:3948", + "issue:4086", + "issue:4398", + "issue:4566", + "issue:5025", + "issue:5043", + "issue:5465", + "issue:5575", + "issue:5606", + "issue:5607", + "issue:5670", + "issue:579", + "issue:5925", + "issue:6130", + "issue:6196", + "issue:7556", + "issue:7592", + "issue:7782", + "issue:7793", + "issue:8469", + "issue:8493", + "issue:8667", + "issue:8828", + "issue:8874", + "issue:8950", + "issue:9410", + "issue:9767" + ], + "soft_pairs": [ + "issue:2161|issue:5575", + "issue:8828|issue:8950", + "issue:10722|issue:5607", + "issue:1534|issue:381", + "issue:2774|issue:579", + "issue:5043|issue:5925", + "issue:5670|issue:8667", + "issue:11046|issue:8469", + "issue:3948|issue:4398", + "issue:2577|issue:2674", + "issue:6130|issue:6196", + "issue:1988|issue:3871", + "issue:5025|issue:9410", + "issue:2052|issue:4566", + "issue:4086|issue:7592", + "issue:7782|issue:8874", + "issue:7793|issue:9767", + "issue:10863|issue:8493", + "issue:1061|issue:1475", + "issue:1867|issue:5465", + "issue:1949|issue:2163", + "issue:228|issue:2880", + "issue:3064|issue:5606", + "issue:3412|issue:7556" + ], + "prepared_review_unit_hash": "57f597bdaa5c3b0f8f4c2c9d3bb46f1c891a3b61c3ae82f0c48aa0c649fedbd4", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33876, + "estimated_input_tokens": 8469, + "estimated_eval_tokens": 17194 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: most items are distinct training/loading/docs issues across different pipelines, models, and failure modes. I do not see any safe duplicate pair among the soft edges.", + "confidence": 0.62, + "canonical_issue_reason": "issue:2163 is the most concrete and well-scoped bug report here: a reproducible `train_text_to_image.py` dtype mismatch with substantial discussion, making it the best anchor for this mixed cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "It has the clearest failure description, the most actionable code path, and enough discussion to serve as a useful triage representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2161", + "right": "issue:5575", + "accept": false, + "reason": "Both mention LoRA training, but one is about inpainting-model training and the other asks about a hidden-size setting; different issue and fix." + }, + { + "left": "issue:8828", + "right": "issue:8950", + "accept": false, + "reason": "Both are SD3 training errors, but 8828 is a general 16GB training failure while 8950 is a specific LoRA-training bug." + }, + { + "left": "issue:10722", + "right": "issue:5607", + "accept": false, + "reason": "Both are tensor-size mismatch errors, but the shapes and training contexts differ; not the same concrete bug." + }, + { + "left": "issue:1534", + "right": "issue:381", + "accept": false, + "reason": "Different notebooks and different failure modes; no evidence they share the same underlying defect." + }, + { + "left": "issue:2774", + "right": "issue:579", + "accept": false, + "reason": "ControlNet safetensors conversion vs Textual Inversion config loading are separate code paths." + }, + { + "left": "issue:5043", + "right": "issue:5925", + "accept": false, + "reason": "Both are LoRA-related feature requests, but they ask for different functionality and are not duplicates." + }, + { + "left": "issue:5670", + "right": "issue:8667", + "accept": false, + "reason": "Different pipelines/models; only a broad shape-handling theme overlaps." + }, + { + "left": "issue:11046", + "right": "issue:8469", + "accept": false, + "reason": "General Flux ControlNet/inpainting/IP-Adapter inference issue vs SD15 face corruption; different models and symptoms." + }, + { + "left": "issue:3948", + "right": "issue:4398", + "accept": false, + "reason": "Both concern bad-looking generated images, but the symptoms and likely causes are different." + }, + { + "left": "issue:2577", + "right": "issue:2674", + "accept": false, + "reason": "DDIM inverse scheduler behavior vs a missing safetensors dependency; unrelated problems." + }, + { + "left": "issue:6130", + "right": "issue:6196", + "accept": false, + "reason": "Both are loading errors, but for different targets: LoRA weights vs ControlNetXS Depth SDXL." + }, + { + "left": "issue:1988", + "right": "issue:3871", + "accept": false, + "reason": "One is an fp16/bf16 dtype mismatch during generation, the other is a checkpoint-resume failure." + }, + { + "left": "issue:5025", + "right": "issue:9410", + "accept": false, + "reason": "Both are import errors, but they concern different missing symbols and different components." + }, + { + "left": "issue:2052", + "right": "issue:4566", + "accept": false, + "reason": "Both involve resume, but they are different training scripts/model families and likely different checkpoint logic." + }, + { + "left": "issue:4086", + "right": "issue:7592", + "accept": false, + "reason": "SDXL controlnet training trouble vs DoRA state_dict loading; distinct defects." + }, + { + "left": "issue:7782", + "right": "issue:8874", + "accept": false, + "reason": "Both involve loading serialized weights, but one is safetensors conversion and the other is CKPT single-file loading." + }, + { + "left": "issue:7793", + "right": "issue:9767", + "accept": false, + "reason": "Different LoRA contexts/models and unrelated runtime errors; not the same bug." + }, + { + "left": "issue:10863", + "right": "issue:8493", + "accept": false, + "reason": "Different loading failures: local safetensors parsing vs SD3 state_dict key mismatch." + }, + { + "left": "issue:1061", + "right": "issue:1475", + "accept": false, + "reason": "Docs update vs training issue; not duplicates." + }, + { + "left": "issue:1867", + "right": "issue:5465", + "accept": false, + "reason": "Both mention strength parameters, but the pipelines and behaviors differ." + }, + { + "left": "issue:1949", + "right": "issue:2163", + "accept": false, + "reason": "Both are training-example bugs, but on different scripts and with different root causes." + }, + { + "left": "issue:228", + "right": "issue:2880", + "accept": false, + "reason": "Broken model link vs JAX colab runtime failure; unrelated." + }, + { + "left": "issue:3064", + "right": "issue:5606", + "accept": false, + "reason": "Both are LoRA loading problems, but one is generic `.safetensors` loading and the other is missing alpha handling." + }, + { + "left": "issue:3412", + "right": "issue:7556", + "accept": false, + "reason": "Both are documentation tasks, but they are different update requests." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 166, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10520", + "issue:11046", + "issue:11185", + "issue:11824", + "issue:12348", + "issue:12536", + "issue:1988", + "issue:2596", + "issue:2603", + "issue:2669", + "issue:2673", + "issue:2991", + "issue:3910", + "issue:4031", + "issue:4037", + "issue:4134", + "issue:4697", + "issue:5025", + "issue:5227", + "issue:5458", + "issue:5595", + "issue:5596", + "issue:5862", + "issue:5905", + "issue:6162", + "issue:6435", + "issue:6791", + "issue:7114", + "issue:7185", + "issue:7229", + "issue:7267", + "issue:7420", + "issue:7636", + "issue:7799", + "issue:8237", + "issue:8450", + "issue:8482", + "issue:9045", + "issue:9115", + "issue:9227", + "issue:9237", + "issue:9309", + "issue:9341", + "issue:9378", + "issue:9402", + "issue:9515", + "issue:9670" + ], + "soft_pairs": [ + "issue:5905|issue:8482", + "issue:9378|issue:9402", + "issue:7799|issue:9115", + "issue:4031|issue:7267", + "issue:3910|issue:4697", + "issue:5595|issue:6435", + "issue:9227|issue:9309", + "issue:2669|issue:5596", + "issue:2991|issue:4037", + "issue:9341|issue:9670", + "issue:4134|issue:7636", + "issue:10520|issue:9045", + "issue:1988|issue:6162", + "issue:11185|issue:11824", + "issue:2596|issue:5025", + "issue:3910|issue:8237", + "issue:5458|issue:7185", + "issue:5862|issue:9515", + "issue:6791|issue:7114", + "issue:12348|issue:12536", + "issue:11046|issue:8450", + "issue:5227|issue:7420", + "issue:2603|issue:2673", + "issue:7229|issue:9237" + ], + "prepared_review_unit_hash": "8e3af0f68cfabd6e197bdd8130bdd238a1e09e1bcd2e7282a17dda5e4a99e3df", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33390, + "estimated_input_tokens": 8348, + "estimated_eval_tokens": 16952 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a heterogeneous cluster of mostly unrelated bug reports and feature requests across different pipelines/models (LoRA loading, Flux, ControlNet, SDXL, Wan, etc.). The soft pairs are only broadly similar at the title level and do not look like the same underlying fixable bug/change.", + "confidence": 0.93, + "canonical_issue_reason": "issue:12348 is the best representative issue to anchor the cluster because it is a concrete, reproducible tensor-mismatch report with a specific pipeline and symptom, and it is more precise than the neighboring shape/context-parallelism reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12348 is the strongest overall issue candidate: it is specific, actionable, and clearly describes the failure mode and affected pipeline.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5905", + "right": "issue:8482", + "accept": false, + "reason": "Different requests: adding a new diffusion-GAN model vs support for a specific SD3 model; not the same bug/change." + }, + { + "left": "issue:9378", + "right": "issue:9402", + "accept": false, + "reason": "Both involve Flux ControlNet, but one is Xlabs ControlNet support and the other adds img2img/inpaint pipelines; separate changes." + }, + { + "left": "issue:7799", + "right": "issue:9115", + "accept": false, + "reason": "Different code paths and symptoms: IP-Adapter matmul mismatch in InstructPix2Pix vs AnimateDiff-Lightning/SDXL motion adapter error." + }, + { + "left": "issue:4031", + "right": "issue:7267", + "accept": false, + "reason": "Unrelated failures: loading a standalone safety checker from local file vs broken local data loading in train_controlnet.py." + }, + { + "left": "issue:3910", + "right": "issue:4697", + "accept": false, + "reason": "Both are LoRA-related, but one is a broad load failure and the other is a specific post-0.20.0 regression for one LoRA." + }, + { + "left": "issue:5595", + "right": "issue:6435", + "accept": false, + "reason": "Different bugs: size-divisibility validation for image dimensions vs ControlNet default width/height initialization." + }, + { + "left": "issue:9227", + "right": "issue:9309", + "accept": false, + "reason": "Different parts of Flux: Dreambooth LoRA training vs FluxControlNetPipeline inference on Flux 1 schnell." + }, + { + "left": "issue:2669", + "right": "issue:5596", + "accept": false, + "reason": "Different exceptions in different contexts: NoneType.replace vs dict.convert while building a dataset." + }, + { + "left": "issue:2991", + "right": "issue:4037", + "accept": false, + "reason": "Both mention ControlNet training, but mixed-precision example failure and FSDP validation errors are different problems." + }, + { + "left": "issue:9341", + "right": "issue:9670", + "accept": false, + "reason": "One is a Flux LoRA loading edge case involving text_model keys; the other is a missing PEFT backend dependency." + }, + { + "left": "issue:4134", + "right": "issue:7636", + "accept": false, + "reason": "Different issue types: MPS tensor-size mismatch in ControlNet vs a usage/support question for the SDXL tile ControlNet model." + }, + { + "left": "issue:10520", + "right": "issue:9045", + "accept": false, + "reason": "Different pipelines and root causes: Sana device mismatch vs StableDiffusion3Pipeline CUDA conversion with accelerate/peft." + }, + { + "left": "issue:1988", + "right": "issue:6162", + "accept": false, + "reason": "Different failures: fp16/bf16 input-vs-bias type mismatch in a trainer example vs IP-Adapter shape mismatch on SDXL." + }, + { + "left": "issue:11185", + "right": "issue:11824", + "accept": false, + "reason": "Different models/pipelines: CogView4 image generation error vs FluxKontextPipeline multi-image input error." + }, + { + "left": "issue:2596", + "right": "issue:5025", + "accept": false, + "reason": "Docs bug vs runtime import bug: nonexistent load_image reference in docs versus missing randn_tensor import." + }, + { + "left": "issue:3910", + "right": "issue:8237", + "accept": false, + "reason": "Related to LoRA loading, but one is a generic load failure and the other is a specific missing key for SDXL LoRA weights." + }, + { + "left": "issue:5458", + "right": "issue:7185", + "accept": false, + "reason": "Different topics: local_files_only not respected in LoRA state dict loading vs a question about PyTorch 2.2 support." + }, + { + "left": "issue:5862", + "right": "issue:9515", + "accept": false, + "reason": "Different architecture features: gradient checkpointing support in Transformer2DModel vs missing RMSNorm in JointAttnProcessor2_0." + }, + { + "left": "issue:6791", + "right": "issue:7114", + "accept": false, + "reason": "Same script family, but 'can't run' is too broad while the other is specifically CUDA OOM; not the same underlying bug." + }, + { + "left": "issue:12348", + "right": "issue:12536", + "accept": false, + "reason": "Both are WanImageToVideoPipeline shape issues, but one is a resolution-dependent tensor mismatch and the other is a context-parallel sharding divisibility assertion." + }, + { + "left": "issue:11046", + "right": "issue:8450", + "accept": false, + "reason": "Different problems: Flux pipeline inference with controlnet/inpainting/ip-adapter vs SDXL inpainting noise at strength 1.0." + }, + { + "left": "issue:5227", + "right": "issue:7420", + "accept": false, + "reason": "Both mention torch.compile, but one is a LoRA weight-loading bug under compile and the other is a general inability to use torch.compile." + }, + { + "left": "issue:2603", + "right": "issue:2673", + "accept": false, + "reason": "Different concerns: non-square image support in Attend-And-Excite vs a StableDiffusionUpscalePipeline config/image validation error." + }, + { + "left": "issue:7229", + "right": "issue:9237", + "accept": false, + "reason": "Different training issues: checkpoint saving failure vs Flux Dreambooth LoRA training failure." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 167, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10575", + "issue:10972", + "issue:11103", + "issue:11209", + "issue:11224", + "issue:12319", + "issue:12329", + "issue:12565", + "issue:12673", + "issue:1304", + "issue:1647", + "issue:2185", + "issue:2210", + "issue:2645", + "issue:2689", + "issue:2841", + "issue:3111", + "issue:3347", + "issue:3382", + "issue:3689", + "issue:3724", + "issue:4080", + "issue:4354", + "issue:4639", + "issue:4647", + "issue:4667", + "issue:4701", + "issue:4837", + "issue:5170", + "issue:5226", + "issue:5337", + "issue:5387", + "issue:5593", + "issue:5647", + "issue:6415", + "issue:6610", + "issue:6713", + "issue:6731", + "issue:6758", + "issue:7214", + "issue:7441", + "issue:7592", + "issue:7974", + "issue:8541", + "issue:8615", + "issue:9454", + "issue:9729" + ], + "soft_pairs": [ + "issue:10575|issue:7214", + "issue:10972|issue:11209", + "issue:10972|issue:11224", + "issue:2185|issue:3347", + "issue:2645|issue:4701", + "issue:2841|issue:3724", + "issue:12319|issue:12673", + "issue:4837|issue:6713", + "issue:6415|issue:7974", + "issue:12329|issue:12565", + "issue:5226|issue:7592", + "issue:5647|issue:6610", + "issue:11103|issue:1647", + "issue:1304|issue:5337", + "issue:2210|issue:3111", + "issue:2645|issue:5593", + "issue:2689|issue:5387", + "issue:3689|issue:5170", + "issue:4080|issue:8615", + "issue:4354|issue:4667", + "issue:4647|issue:7441", + "issue:5226|issue:6758", + "issue:6731|issue:9729", + "issue:8541|issue:9454", + "issue:3382|issue:4639" + ], + "prepared_review_unit_hash": "43a97a56fd019c7dfa3402ceaffa07a051c38516584260a6771aee5f425f1192", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33543, + "estimated_input_tokens": 8386, + "estimated_eval_tokens": 17028 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are only loosely related by shared subsystem or wording. The only clear duplicate-like pair is the LoRA unload/remove request (3689 and 5170); the rest should stay separate.", + "confidence": 0.83, + "canonical_issue_reason": "issue:3689 is the clearest canonical for the LoRA unload/remove request: it explicitly asks to unload weights after load_lora_weights and has more discussion detail than 5170.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3689 is the most representative concrete issue in the set for the one true duplicate cluster, with 5170 reading like a shorter rephrasing of the same request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10575", + "right": "issue:7214", + "accept": false, + "reason": "Same scheduler family, but the bug reports are different: one is an IndexError, the other is a Karras-sigmas regression." + }, + { + "left": "issue:10972", + "right": "issue:11209", + "accept": false, + "reason": "Both are LoRA-loading problems, but 10972 is specifically about OneTrainer Flux LoRAs while 11209 is a generic loading error." + }, + { + "left": "issue:10972", + "right": "issue:11224", + "accept": false, + "reason": "Same as above: related area, but not enough evidence of the same underlying LoRA-loading bug." + }, + { + "left": "issue:2185", + "right": "issue:3347", + "accept": false, + "reason": "Training config files missing and NaN image output are different failure modes with no clear shared root cause." + }, + { + "left": "issue:2645", + "right": "issue:4701", + "accept": false, + "reason": "Both mention CUDA errors, but they affect different components and platforms; not the same concrete bug." + }, + { + "left": "issue:2841", + "right": "issue:3724", + "accept": false, + "reason": "One is a scheduler feature request, the other is a watermarking-module proposal; unrelated." + }, + { + "left": "issue:12319", + "right": "issue:12673", + "accept": false, + "reason": "Both involve group offloading, but the pipelines and symptoms differ enough that they do not look like the same bug." + }, + { + "left": "issue:4837", + "right": "issue:6713", + "accept": false, + "reason": "Both touch conversion scripts, but one is an SDXL conversion failure and the other is a HeaderTooLarge parsing issue." + }, + { + "left": "issue:6415", + "right": "issue:7974", + "accept": false, + "reason": "Both involve IP-Adapter/FaceID, but one is a support request and the other is an inpaint bug; different issues." + }, + { + "left": "issue:12329", + "right": "issue:12565", + "accept": false, + "reason": "Both are Wan2.1-related, but one is a model-loading misclassification and the other is a runtime i2v running issue." + }, + { + "left": "issue:5226", + "right": "issue:7592", + "accept": false, + "reason": "Both are LoRA-adjacent, but load_lora_weights for an adapter pipeline and DoRA state_dict loading are different code paths." + }, + { + "left": "issue:5647", + "right": "issue:6610", + "accept": false, + "reason": "Same pipeline family, but strength==1 behavior and num_in_channels being ignored are distinct bugs." + }, + { + "left": "issue:11103", + "right": "issue:1647", + "accept": false, + "reason": "A repo-selection question and a color-correction PT question are unrelated." + }, + { + "left": "issue:1304", + "right": "issue:5337", + "accept": false, + "reason": "Training text-guided image-to-image and a question about callback behavior are unrelated." + }, + { + "left": "issue:2210", + "right": "issue:3111", + "accept": false, + "reason": "Text-encoder training for LoRA and custom conditioning encoder support are different feature requests." + }, + { + "left": "issue:2645", + "right": "issue:5593", + "accept": false, + "reason": "Both mention ControlNet, but one is a CUDA-on-mac failure and the other is an AutoPipeline wrapping issue." + }, + { + "left": "issue:2689", + "right": "issue:5387", + "accept": false, + "reason": "Broken image link and broken documentation link are not the same issue." + }, + { + "left": "issue:3689", + "right": "issue:5170", + "accept": true, + "reason": "These are the same underlying request: unload/remove LoRA weights after loading them." + }, + { + "left": "issue:4080", + "right": "issue:8615", + "accept": false, + "reason": "An SDXL inpainting-pipeline request and Stable Diffusion 3 fuse_lora support are unrelated." + }, + { + "left": "issue:4354", + "right": "issue:4667", + "accept": false, + "reason": "Both involve from_single_file, but the pipeline types and symptoms differ: wrong return type vs outright failure." + }, + { + "left": "issue:4647", + "right": "issue:7441", + "accept": false, + "reason": "A model architecture bug and a Python 3.12 pytest failure are unrelated." + }, + { + "left": "issue:5226", + "right": "issue:6758", + "accept": false, + "reason": "Same adapter pipeline, but load_lora_weights support and num_images_per_prompt support are different bugs." + }, + { + "left": "issue:6731", + "right": "issue:9729", + "accept": false, + "reason": "Unhandled pipeline-class errors and an unexpected T5EncoderModel save-model error are different code paths." + }, + { + "left": "issue:8541", + "right": "issue:9454", + "accept": false, + "reason": "Both are repository/model-not-found errors, but for different models and URLs; not the same bug." + }, + { + "left": "issue:3382", + "right": "issue:4639", + "accept": false, + "reason": "Multi-GPU OOM during training and a dataloader multiprocessing error are different problems." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The evaluation is well grounded in the packet and stays conservative on the soft-edge pairs. The only clearly duplicate-like pair from the available titles is issue:3689 / issue:5170, and the rationale for choosing 3689 as canonical is supported by its longer discussion thread. The other pairs are rejected with appropriately cautious wording rather than overclaiming shared root cause." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 168, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10198", + "issue:10472", + "issue:10540", + "issue:10795", + "issue:11436", + "issue:11584", + "issue:11824", + "issue:11864", + "issue:11978", + "issue:12104", + "issue:13079", + "issue:13107", + "issue:13300", + "issue:1388", + "issue:1692", + "issue:1717", + "issue:1976", + "issue:2163", + "issue:2234", + "issue:2244", + "issue:3250", + "issue:3468", + "issue:4185", + "issue:4340", + "issue:4366", + "issue:4398", + "issue:4702", + "issue:5442", + "issue:5919", + "issue:6258", + "issue:6335", + "issue:6407", + "issue:6914", + "issue:6949", + "issue:7330", + "issue:7355", + "issue:7793", + "issue:7985", + "issue:8532", + "issue:8626", + "issue:8887", + "issue:8922", + "issue:9069", + "issue:9112", + "issue:9523", + "issue:954", + "issue:9744", + "issue:9857" + ], + "soft_pairs": [ + "issue:4185|issue:6949", + "issue:11584|issue:7985", + "issue:1692|issue:5919", + "issue:5442|issue:6407", + "issue:6914|issue:8626", + "issue:10795|issue:11864", + "issue:13300|issue:7355", + "issue:12104|issue:9112", + "issue:13079|issue:13107", + "issue:10198|issue:10540", + "issue:7793|issue:8532", + "issue:1976|issue:2234", + "issue:2163|issue:7330", + "issue:2244|issue:3468", + "issue:11978|issue:9744", + "issue:4702|issue:8887", + "issue:9523|issue:9857", + "issue:10472|issue:9069", + "issue:4340|issue:4398", + "issue:1717|issue:954", + "issue:11436|issue:11824", + "issue:6258|issue:8922", + "issue:3250|issue:6335", + "issue:1388|issue:4366" + ], + "prepared_review_unit_hash": "2a9c66bfb3f04e866f813f9c269e86c19835ce7b51f2ac93cd64222defb13c26", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34383, + "estimated_input_tokens": 8596, + "estimated_eval_tokens": 17448 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set; it contains many unrelated issues across different models, pipelines, and failure modes. I rejected every soft edge because the paired items do not describe the same concrete bug or change.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical duplicate stands out because the items are mostly unrelated. If one issue must be chosen as representative, issue 10540 is the clearest concrete regression report.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10540 is the most actionable and specific bug report in the set: it names the affected Flux Dev from_single_file path and a concrete regression trigger.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4185", + "right": "issue:6949", + "accept": false, + "reason": "Different bugs: SDXL ControlNet black images versus DPMSolverSinglestep blank images at even steps." + }, + { + "left": "issue:11584", + "right": "issue:7985", + "accept": false, + "reason": "Both mention torch.compile, but one is group offloading on hunyuanvideo_frampack and the other is IP-Adapter compatibility; different code paths." + }, + { + "left": "issue:1692", + "right": "issue:5919", + "accept": false, + "reason": "Unrelated failures: pickling a local lambda versus missing set_lora_layer on Linear." + }, + { + "left": "issue:5442", + "right": "issue:6407", + "accept": false, + "reason": "Different scope entirely: ScaleCrafter pipeline feature versus AnyText model addition." + }, + { + "left": "issue:6914", + "right": "issue:8626", + "accept": false, + "reason": "One is a runtime tuple/shape bug with cpu offload; the other is guidance/docs for multiple IP-Adapter images and masks." + }, + { + "left": "issue:10795", + "right": "issue:11864", + "accept": false, + "reason": "Different problems: torch.compile with GGUF from_single_file versus AutoencoderDC.encode failing because torch is undefined." + }, + { + "left": "issue:13300", + "right": "issue:7355", + "accept": false, + "reason": "Different models and errors: CPU failures on SD3/Flux versus Stable Cascade bfloat16/arbitrary-resolution issues." + }, + { + "left": "issue:12104", + "right": "issue:9112", + "accept": false, + "reason": "Generic IndexError versus a specific Auraflow tensor-size mismatch; not the same bug." + }, + { + "left": "issue:13079", + "right": "issue:13107", + "accept": false, + "reason": "OOM in a Flux.2-klein loop versus LoRA missing-key errors; different failure modes and workflows." + }, + { + "left": "issue:10198", + "right": "issue:10540", + "accept": false, + "reason": "Both are Flux-related, but one is a weight mismatch and the other is a from_single_file regression after Flux Fill support; not the same concrete issue." + }, + { + "left": "issue:7793", + "right": "issue:8532", + "accept": false, + "reason": "Both involve LoRA weights, but unloading errors and progressive memory growth are distinct bugs." + }, + { + "left": "issue:1976", + "right": "issue:2234", + "accept": false, + "reason": "Incorrect tokenizer file lookup versus finetuning failure with xformers attention; unrelated." + }, + { + "left": "issue:2163", + "right": "issue:7330", + "accept": false, + "reason": "Different training issues: UNet dtype mismatch versus FP16 gradient unscale error." + }, + { + "left": "issue:2244", + "right": "issue:3468", + "accept": false, + "reason": "Half-precision CPU runtime error versus Dreambooth not writing model_index.json; unrelated." + }, + { + "left": "issue:11978", + "right": "issue:9744", + "accept": false, + "reason": "Two separate model-addition requests: Bria 3.2 versus Mochi Video." + }, + { + "left": "issue:4702", + "right": "issue:8887", + "accept": false, + "reason": "VQ-VAE example request versus SD3 training VAE bug; different artifacts and goals." + }, + { + "left": "issue:9523", + "right": "issue:9857", + "accept": false, + "reason": "Broad controlnet training mapping issue versus a specific FLUX controlnet embedding-size mismatch." + }, + { + "left": "issue:10472", + "right": "issue:9069", + "accept": false, + "reason": "LoRA bias constructor error versus NumPy ndarray type mismatch; unrelated." + }, + { + "left": "issue:4340", + "right": "issue:4398", + "accept": false, + "reason": "Both are SDXL LoRA-related, but one is a training_text_encoder error and the other is black-image generation in Dreambooth; not the same bug." + }, + { + "left": "issue:1717", + "right": "issue:954", + "accept": false, + "reason": "Offline cache loading bug versus post-login loading failure; different conditions and causes." + }, + { + "left": "issue:11436", + "right": "issue:11824", + "accept": false, + "reason": "HiDream dtype mismatch versus FluxKontext multi-image input failure; different models and errors." + }, + { + "left": "issue:6258", + "right": "issue:8922", + "accept": false, + "reason": "Stable Video Diffusion forward-chunking quality regression versus SD3 quantized T5 black-image issue." + }, + { + "left": "issue:3250", + "right": "issue:6335", + "accept": false, + "reason": "StableDiffusionKDiffusionPipeline runtime failure versus img2img output-size parameter handling; unrelated." + }, + { + "left": "issue:1388", + "right": "issue:4366", + "accept": false, + "reason": "SD2 conversion script adaptation request versus SDXL full U-Net fine-tuning issue; different tasks." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 169, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10804", + "issue:1092", + "issue:10954", + "issue:11464", + "issue:11819", + "issue:12120", + "issue:12195", + "issue:1717", + "issue:222", + "issue:2324", + "issue:2822", + "issue:2947", + "issue:3112", + "issue:3468", + "issue:3623", + "issue:3824", + "issue:3937", + "issue:4117", + "issue:4183", + "issue:4194", + "issue:4332", + "issue:4340", + "issue:4520", + "issue:4727", + "issue:5226", + "issue:5474", + "issue:5488", + "issue:5545", + "issue:5647", + "issue:5862", + "issue:5897", + "issue:6093", + "issue:6203", + "issue:6839", + "issue:7041", + "issue:7223", + "issue:7377", + "issue:7644", + "issue:7681", + "issue:817", + "issue:8309", + "issue:8567", + "issue:8668", + "issue:8708", + "issue:8900", + "issue:9142", + "issue:9270" + ], + "soft_pairs": [ + "issue:2822|issue:6093", + "issue:5488|issue:8668", + "issue:5226|issue:5862", + "issue:10804|issue:9270", + "issue:1092|issue:4520", + "issue:3112|issue:5474", + "issue:3824|issue:6203", + "issue:3937|issue:4194", + "issue:4332|issue:7644", + "issue:4727|issue:5545", + "issue:5647|issue:7041", + "issue:4340|issue:5897", + "issue:6839|issue:8900", + "issue:1717|issue:3623", + "issue:3468|issue:4117", + "issue:2324|issue:817", + "issue:12195|issue:7681", + "issue:2947|issue:9142", + "issue:8567|issue:8708", + "issue:10954|issue:11464", + "issue:4183|issue:7377", + "issue:11819|issue:12120", + "issue:222|issue:4117", + "issue:7223|issue:8309" + ], + "prepared_review_unit_hash": "9a1f5fd73c6deb610809ea87217e8ca772649a49f42414b93bf952fd19bde8d0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33450, + "estimated_input_tokens": 8363, + "estimated_eval_tokens": 16982 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a loose theme around LoRA/FLUX/model-loading and training questions, not one duplicate bug. The only strong duplicate-looking pair is the two nearly identical comfy-ui FLUX1.dev LoRA load failures (10804 and 10954).", + "confidence": 0.88, + "canonical_issue_reason": "issue:10804 is the clearest anchor for the only true near-duplicate pair in the set; it is the earlier, broader FLUX1.dev LoRA load-failure report and best represents that bug cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11464 is the most concrete and actionable bug report in the set because it names the exact model and pipeline (FLUX.1-Canny-dev-lora / FluxControlPipeline), though it is still distinct from the comfy-ui FLUX1.dev reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2822", + "right": "issue:6093", + "accept": false, + "reason": "Both mention training scripts, but one is about slow ControlNet convergence and the other about push_to_hub behavior in an SDXL consistency LoRA script; different bugs." + }, + { + "left": "issue:5488", + "right": "issue:8668", + "accept": false, + "reason": "Generic demo-code failure vs SD3 img2img alignment bug; no shared concrete code path." + }, + { + "left": "issue:5226", + "right": "issue:5862", + "accept": false, + "reason": "Load_lora_weights on an adapter pipeline is unrelated to gradient checkpointing support in Transformer2DModel." + }, + { + "left": "issue:10804", + "right": "issue:9270", + "accept": false, + "reason": "Both are FLUX LoRA-related, but one is a specific comfy-ui load failure and the other is broad missing support from SimpleTuner; not the same underlying bug." + }, + { + "left": "issue:1092", + "right": "issue:4520", + "accept": false, + "reason": "Attention slicing with Euler is unrelated to LoRA scale behavior under attention slicing." + }, + { + "left": "issue:3112", + "right": "issue:5474", + "accept": false, + "reason": "Multi-ControlNet inpainting and a proposed new reference-only pipeline are different features, not the same bug or change." + }, + { + "left": "issue:3824", + "right": "issue:6203", + "accept": false, + "reason": "A general question about inpaint pipeline variants is unrelated to SDXL ControlNet image-size conditioning." + }, + { + "left": "issue:3937", + "right": "issue:4194", + "accept": false, + "reason": "ZeroscopeXL behaving as a normal model is a different pipeline/model issue than VAE handling in from_single_file." + }, + { + "left": "issue:4332", + "right": "issue:7644", + "accept": false, + "reason": "xformers support for Kandinsky2.2 is unrelated to non-power-of-two Stable Cascade image size failures." + }, + { + "left": "issue:4727", + "right": "issue:5545", + "accept": false, + "reason": "local_files_only auto-pipeline breakage is unrelated to a StableDiffusionInpaintPipeline usage problem." + }, + { + "left": "issue:5647", + "right": "issue:7041", + "accept": false, + "reason": "Both mention runtime failures, but one is a specific SDXL inpaint strength==1 edge case and the other is a segfault when steps > 1; different defects." + }, + { + "left": "issue:4340", + "right": "issue:5897", + "accept": false, + "reason": "SDXL LoRA training with train_text_encoder and device-mismatch in train_text_to_image_lora.py are separate training bugs." + }, + { + "left": "issue:6839", + "right": "issue:8900", + "accept": false, + "reason": "Both are from_single_file questions, but one is Stable Video Diffusion and the other is SDXL refiner loading; different models and code paths." + }, + { + "left": "issue:1717", + "right": "issue:3623", + "accept": false, + "reason": "Offline cached-model loading and larger-model loading are not the same bug." + }, + { + "left": "issue:3468", + "right": "issue:4117", + "accept": false, + "reason": "Dreambooth model_index.json generation and SDXL Dreambooth not working are related only at a high level, not the same underlying issue." + }, + { + "left": "issue:2324", + "right": "issue:817", + "accept": false, + "reason": "Dreambooth instance-data reading and mixed precision issues are distinct training bugs." + }, + { + "left": "issue:12195", + "right": "issue:7681", + "accept": false, + "reason": "Torch custom_op import failure in one environment is unrelated to a lib/X509 import failure in another." + }, + { + "left": "issue:2947", + "right": "issue:9142", + "accept": false, + "reason": "Missing load_attn_procs on UNet2DConditionModel is unrelated to Hunyuan DiT multi-controlnet list handling." + }, + { + "left": "issue:8567", + "right": "issue:8708", + "accept": false, + "reason": "SD3 training objective correctness and missing vae.config.shift_factor in dreambooth examples are different SD3 training questions." + }, + { + "left": "issue:10954", + "right": "issue:11464", + "accept": false, + "reason": "Both are FLUX LoRA load problems, but one is a comfy-ui compatible FLUX1.dev LoRA failing to load and the other is a specific Canny-dev LoRA failing in FluxControlPipeline; close theme, not the same concrete bug." + }, + { + "left": "issue:4183", + "right": "issue:7377", + "accept": false, + "reason": "ControlNet guidance_scale<=1 error is unrelated to StableCascadeDecoderPipeline with num_images_per_prompt > 1." + }, + { + "left": "issue:11819", + "right": "issue:12120", + "accept": false, + "reason": "A FLUX Kontext training script request is not the same as a question about training LoRAs on distilled flux-schnell." + }, + { + "left": "issue:222", + "right": "issue:4117", + "accept": false, + "reason": "A generic training RuntimeError is not the same as SDXL Dreambooth failing." + }, + { + "left": "issue:7223", + "right": "issue:8309", + "accept": false, + "reason": "Latte video-generation support and conditional diffusion distillation are different feature requests." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 170, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10210", + "issue:10518", + "issue:10722", + "issue:10967", + "issue:11182", + "issue:11256", + "issue:11489", + "issue:12022", + "issue:12535", + "issue:1807", + "issue:1985", + "issue:2244", + "issue:2296", + "issue:2392", + "issue:2462", + "issue:2806", + "issue:2844", + "issue:2904", + "issue:3040", + "issue:3175", + "issue:3774", + "issue:3799", + "issue:3802", + "issue:3954", + "issue:4306", + "issue:4480", + "issue:4566", + "issue:4726", + "issue:5226", + "issue:5577", + "issue:5862", + "issue:6107", + "issue:6110", + "issue:6324", + "issue:6382", + "issue:6518", + "issue:6548", + "issue:730", + "issue:7589", + "issue:760", + "issue:7644", + "issue:8228", + "issue:8305", + "issue:8588", + "issue:8950", + "issue:9142", + "issue:9156", + "issue:9673" + ], + "soft_pairs": [ + "issue:5577|issue:8228", + "issue:5226|issue:6110", + "issue:10210|issue:6548", + "issue:3175|issue:3774", + "issue:10722|issue:7644", + "issue:4566|issue:8950", + "issue:6107|issue:6382", + "issue:10518|issue:8588", + "issue:11489|issue:9156", + "issue:2244|issue:2844", + "issue:4306|issue:8305", + "issue:5862|issue:7589", + "issue:3802|issue:3954", + "issue:11182|issue:9673", + "issue:10967|issue:11256", + "issue:12022|issue:12535", + "issue:2392|issue:6518", + "issue:4480|issue:760", + "issue:1807|issue:2296", + "issue:1985|issue:2462", + "issue:2806|issue:730", + "issue:2904|issue:9142", + "issue:3040|issue:6324", + "issue:3799|issue:4726" + ], + "prepared_review_unit_hash": "e602910496bf47fff96d40ba0ef5858cd72e2db8cec81f956ac487e8899c462d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34555, + "estimated_input_tokens": 8639, + "estimated_eval_tokens": 17534 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set does not look like one duplicate cluster: it mixes unrelated bug reports, feature requests, and training/inference issues across many different pipelines and scripts. The soft pairs are mostly superficial keyword matches and should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "If a single issue must be highlighted, #10210 is the clearest concrete bug report with a specific, user-visible symptom and a well-scoped pipeline context.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5577", + "right": "issue:8228", + "accept": false, + "reason": "Different loaders and failures: ControlNet single-file key error vs CLIPTextModel loading failure." + }, + { + "left": "issue:5226", + "right": "issue:6110", + "accept": false, + "reason": "Both mention load_lora_weights, but one is SDXLAdapter compatibility and the other is offline loading behavior; not the same bug." + }, + { + "left": "issue:10210", + "right": "issue:6548", + "accept": false, + "reason": "Both involve img2img behavior, but one is Flux output staying too close to input and the other is RGBA images being misread as latents." + }, + { + "left": "issue:3175", + "right": "issue:3774", + "accept": false, + "reason": "Different training problems: multi-face DreamBooth behavior vs ZeRO-3 not reducing memory in text-to-image training." + }, + { + "left": "issue:10722", + "right": "issue:7644", + "accept": false, + "reason": "Tensor-size mismatch during DreamBooth prior preservation is unrelated to non-power-of-2 image failures in Stable Cascade." + }, + { + "left": "issue:4566", + "right": "issue:8950", + "accept": false, + "reason": "Both are LoRA training-related, but one is checkpoint resume for SDXL and the other is an SD3 LoRA training bug." + }, + { + "left": "issue:6107", + "right": "issue:6382", + "accept": false, + "reason": "Both mention IP-Adapter, but the reported failures are different: environment-specific app behavior vs a post-training key error." + }, + { + "left": "issue:10518", + "right": "issue:8588", + "accept": false, + "reason": "Example-script issue versus a missing conversion script; not the same underlying bug." + }, + { + "left": "issue:11489", + "right": "issue:9156", + "accept": false, + "reason": "Flux LoRA training error and Flux LoRA training OOM are different failure modes and not clearly the same code-path bug." + }, + { + "left": "issue:2244", + "right": "issue:2844", + "accept": false, + "reason": "DreamBooth half-precision CPU error and StableUnCLIP image-embeds runtime error are unrelated." + }, + { + "left": "issue:4306", + "right": "issue:8305", + "accept": false, + "reason": "Reference pipeline list-index error is unrelated to TCDScheduler eta validation." + }, + { + "left": "issue:5862", + "right": "issue:7589", + "accept": false, + "reason": "Gradient checkpointing support for Transformer2DModel is unrelated to GLIGEN layout-to-image failures." + }, + { + "left": "issue:3802", + "right": "issue:3954", + "accept": false, + "reason": "Checkpoint-limit handling and learning-rate step counting are separate training-example bugs." + }, + { + "left": "issue:11182", + "right": "issue:9673", + "accept": false, + "reason": "Unnecessary BF16 variant download and high CPU usage when loading multiple LoRAs are unrelated performance/loading issues." + }, + { + "left": "issue:10967", + "right": "issue:11256", + "accept": false, + "reason": "Distinct feature requests for different research models; no shared bug/change." + }, + { + "left": "issue:12022", + "right": "issue:12535", + "accept": false, + "reason": "Flash-attention interface compatibility and Wan2.2 LoRA loading are unrelated." + }, + { + "left": "issue:2392", + "right": "issue:6518", + "accept": false, + "reason": "Img2img prompt_embeds validation bug and NoneType division in an LCM distillation script are different issues." + }, + { + "left": "issue:4480", + "right": "issue:760", + "accept": false, + "reason": "Both are MPS-related, but one is a kernel crash with float16 and the other is unexpected output behavior; not the same bug." + }, + { + "left": "issue:1807", + "right": "issue:2296", + "accept": false, + "reason": "Inference slowdown over generations and xformers attention not working on T4 are unrelated." + }, + { + "left": "issue:1985", + "right": "issue:2462", + "accept": false, + "reason": "Loading embeddings and IterableDataset finetuning support are different feature requests." + }, + { + "left": "issue:2806", + "right": "issue:730", + "accept": false, + "reason": "Pipeline printing/customization issue is unrelated to DreamBooth training behavior on local machines." + }, + { + "left": "issue:2904", + "right": "issue:9142", + "accept": false, + "reason": "AudioLDM scheduler NoneType error and Hunyuan DiT multiple-ControlNet type error are unrelated." + }, + { + "left": "issue:3040", + "right": "issue:6324", + "accept": false, + "reason": "Similar error shape, but list-vs-bool module introspection failures in different contexts are not enough to treat as the same bug." + }, + { + "left": "issue:3799", + "right": "issue:4726", + "accept": false, + "reason": "These are both typing-related, but one concerns scheduler inference typing and the other callback typing in __call__." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 171, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10040", + "issue:10180", + "issue:1061", + "issue:10772", + "issue:11178", + "issue:11547", + "issue:12012", + "issue:12029", + "issue:12078", + "issue:12499", + "issue:1264", + "issue:2326", + "issue:2364", + "issue:2548", + "issue:2786", + "issue:3645", + "issue:3660", + "issue:4206", + "issue:4229", + "issue:4488", + "issue:4639", + "issue:4667", + "issue:4724", + "issue:4868", + "issue:4892", + "issue:4935", + "issue:499", + "issue:5150", + "issue:5295", + "issue:5840", + "issue:5862", + "issue:593", + "issue:6110", + "issue:6196", + "issue:6602", + "issue:6801", + "issue:6894", + "issue:7053", + "issue:7185", + "issue:7303", + "issue:7392", + "issue:7466", + "issue:7785", + "issue:8543", + "issue:8726", + "issue:9187", + "issue:9267", + "issue:9421" + ], + "soft_pairs": [ + "issue:4488|issue:4667", + "issue:5840|issue:6894", + "issue:7303|issue:7392", + "issue:2364|issue:499", + "issue:4868|issue:9267", + "issue:6801|issue:7785", + "issue:6110|issue:9187", + "issue:2326|issue:2548", + "issue:4229|issue:4639", + "issue:10180|issue:12078", + "issue:4206|issue:7466", + "issue:7053|issue:7185", + "issue:12012|issue:12499", + "issue:10040|issue:9421", + "issue:2786|issue:4935", + "issue:11178|issue:12029", + "issue:4892|issue:5295", + "issue:1061|issue:593", + "issue:10772|issue:11547", + "issue:1264|issue:3645", + "issue:3660|issue:4724", + "issue:5150|issue:5862", + "issue:6196|issue:6602", + "issue:8543|issue:8726" + ], + "prepared_review_unit_hash": "ce82e791f51c90d269e79ef717bb9d2ca2c8221af8b72ef74f9b5b5e370044b1", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33968, + "estimated_input_tokens": 8492, + "estimated_eval_tokens": 17240 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is not a single duplicate cluster: the items span many unrelated bugs and feature requests across SD3, Flux, Wan, ControlNet, LoRA, schedulers, and training examples. I would not merge any of the soft-edge pairs as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": "No single issue is a valid canonical here; the set is heterogeneous and does not share one underlying bug or change.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue fits the cluster well; any one issue would misrepresent the mixed topics and failure modes.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4488", + "right": "issue:4667", + "accept": false, + "reason": "Both mention from_single_file, but one is SDXL checkpoint loading without pipeline_class and the other is generic StableDiffusionPipeline from_single_file failure in 0.20.0; different code paths." + }, + { + "left": "issue:5840", + "right": "issue:6894", + "accept": false, + "reason": "Both are LoRA-related, but one is resume-training/freezing in an SDXL DreamBooth script and the other is an exported LoRA not working in A1111; not the same bug." + }, + { + "left": "issue:7303", + "right": "issue:7392", + "accept": false, + "reason": "Scheduler zero_snr support and multi-aspect-ratio SDXL training are unrelated." + }, + { + "left": "issue:2364", + "right": "issue:499", + "accept": false, + "reason": "Generic training-script failure vs a specific unconditional training example failure; too broad and not the same underlying issue." + }, + { + "left": "issue:4868", + "right": "issue:9267", + "accept": false, + "reason": "Different AttributeErrors in different components: __getattr__ on a super object vs missing rope in transformer_flux." + }, + { + "left": "issue:6801", + "right": "issue:7785", + "accept": false, + "reason": "Scheduler loading problem and slow first inference are different symptoms and code paths." + }, + { + "left": "issue:6110", + "right": "issue:9187", + "accept": false, + "reason": "Offline LoRA loading and IP-Adapter image_encoder_folder=None behavior are separate loading issues." + }, + { + "left": "issue:2326", + "right": "issue:2548", + "accept": false, + "reason": "LoRA conversion to safetensors/ckpt and LoRA finetuning save errors affect different flows." + }, + { + "left": "issue:4229", + "right": "issue:4639", + "accept": false, + "reason": "Multi-GPU DreamBooth acceleration error and multiprocessing dataloader error in a different training script are not the same bug." + }, + { + "left": "issue:10180", + "right": "issue:12078", + "accept": false, + "reason": "Flux Control LoRA multiple-LoRA loading and validation-input example feedback are different problems." + }, + { + "left": "issue:4206", + "right": "issue:7466", + "accept": false, + "reason": "ControlNet training broken on main vs torch.compile failure for multi-controlnet in SDXL inpaint; related area, but different concrete failures." + }, + { + "left": "issue:7053", + "right": "issue:7185", + "accept": false, + "reason": "UNet3D class conditioning support and PyTorch 2.2 compatibility are unrelated." + }, + { + "left": "issue:12012", + "right": "issue:12499", + "accept": false, + "reason": "Wan 2.2 context-state cache error and Wan 2.2 I2V shape mismatch are distinct defects." + }, + { + "left": "issue:10040", + "right": "issue:9421", + "accept": false, + "reason": "Grey images in Stable Diffusion 3 and inability to access an inpainting model are unrelated." + }, + { + "left": "issue:2786", + "right": "issue:4935", + "accept": false, + "reason": "Depth2Img numpy/transformers compatibility and a LoRA layer question in SDXL training are unrelated." + }, + { + "left": "issue:11178", + "right": "issue:12029", + "accept": false, + "reason": "Both are model-loading issues, but with different models and likely different loaders/code paths." + }, + { + "left": "issue:4892", + "right": "issue:5295", + "accept": false, + "reason": "TokenFlow video editing and LaVie video generation are different pipelines and changes." + }, + { + "left": "issue:1061", + "right": "issue:593", + "accept": false, + "reason": "Example instruction text update and repeated-image behavior in high-res diffusion are unrelated." + }, + { + "left": "issue:10772", + "right": "issue:11547", + "accept": false, + "reason": "Both request ControlNet support, but for different model families (Sana vs Flux fill) and not the same implementation change." + }, + { + "left": "issue:1264", + "right": "issue:3645", + "accept": false, + "reason": "Hard-coded scheduler in dreambooth and controlnet inpaint training guidance are unrelated." + }, + { + "left": "issue:3660", + "right": "issue:4724", + "accept": false, + "reason": "torch.compile with LoRA/xformers and SDXL img2img checkpoint behavior are different problems." + }, + { + "left": "issue:5150", + "right": "issue:5862", + "accept": false, + "reason": "Missing from_single_file on an upscale pipeline and lack of gradient checkpointing in Transformer2DModel are unrelated." + }, + { + "left": "issue:6196", + "right": "issue:6602", + "accept": false, + "reason": "ControlNetXS loading failure and post-fuse_lora save/load error involve different models and failure points." + }, + { + "left": "issue:8543", + "right": "issue:8726", + "accept": false, + "reason": "Both are SD3 DreamBooth topics, but one is gradient-checkpointing failure and the other is text-encoder errors; not the same concrete bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 172, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1100", + "issue:11700", + "issue:1197", + "issue:12195", + "issue:12535", + "issue:12575", + "issue:12689", + "issue:1271", + "issue:13142", + "issue:1350", + "issue:1544", + "issue:1616", + "issue:234", + "issue:2465", + "issue:2549", + "issue:2599", + "issue:2618", + "issue:2707", + "issue:3124", + "issue:3221", + "issue:3325", + "issue:3391", + "issue:3420", + "issue:347", + "issue:3660", + "issue:4080", + "issue:4185", + "issue:4325", + "issue:4664", + "issue:5103", + "issue:5379", + "issue:5442", + "issue:5544", + "issue:5905", + "issue:6492", + "issue:6722", + "issue:6911", + "issue:7592", + "issue:8493", + "issue:8532", + "issue:8555", + "issue:905", + "issue:9134", + "issue:9279", + "issue:9914", + "issue:9953", + "issue:9997" + ], + "soft_pairs": [ + "issue:4664|issue:5544", + "issue:1271|issue:347", + "issue:2707|issue:3325", + "issue:4185|issue:6492", + "issue:3221|issue:3660", + "issue:3420|issue:6911", + "issue:8532|issue:9914", + "issue:12535|issue:12689", + "issue:1197|issue:905", + "issue:234|issue:2549", + "issue:4325|issue:5103", + "issue:6722|issue:8555", + "issue:9134|issue:9997", + "issue:1100|issue:1544", + "issue:12195|issue:13142", + "issue:2465|issue:2599", + "issue:12575|issue:9953", + "issue:11700|issue:9279", + "issue:1350|issue:5442", + "issue:1616|issue:5379", + "issue:2618|issue:3391", + "issue:3124|issue:6911", + "issue:4080|issue:5905", + "issue:7592|issue:8493" + ], + "prepared_review_unit_hash": "25cf40fa8764544b95750e2ba0d551347b2035ccee35f23c580e502b452ab41a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33243, + "estimated_input_tokens": 8311, + "estimated_eval_tokens": 16878 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose thematic grouping around Diffusers loading/pipeline bugs, with many weakly similar titles but no true duplicate pairs. I did not find any soft pair that looks like the same underlying bug/change.", + "confidence": 0.61, + "canonical_issue_reason": "issue:12689 is the clearest, most general representative of the recurring adapter/LoRA-loading theme, with a straightforward bug title and broad applicability compared with the more narrow or unrelated items.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12689 is the best cluster representative because it is a concrete, high-signal bug report about loading LoRA weights, which is the closest common thread among the more similar-looking items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4664", + "right": "issue:5544", + "accept": false, + "reason": "Both mention SDXL and pipeline behavior, but one is a LoRA-loading mismatch and the other is a FreeU disable error; different code paths and symptoms." + }, + { + "left": "issue:1271", + "right": "issue:347", + "accept": false, + "reason": "Both are installation/dependency problems, but one is Dreambooth notebook setup and the other is package resolution for huggingface-hub; not the same bug." + }, + { + "left": "issue:2707", + "right": "issue:3325", + "accept": false, + "reason": "A syntax error in a conversion script and a CUDA runtime error during Dreambooth training are unrelated failures." + }, + { + "left": "issue:4185", + "right": "issue:6492", + "accept": false, + "reason": "Both involve black images, but one is SDXL ControlNet-specific and the other is a broader image-generation symptom with no clear shared root cause." + }, + { + "left": "issue:3221", + "right": "issue:3660", + "accept": false, + "reason": "One is about load_attn_procs on a specific version, the other about torch.compile with LoRA/xformers; different APIs and failure modes." + }, + { + "left": "issue:3420", + "right": "issue:6911", + "accept": false, + "reason": "These cover different model/pipeline behaviors: ControlNet inpaint pipeline issues vs class-label handling in a 3D UNet." + }, + { + "left": "issue:8532", + "right": "issue:9914", + "accept": false, + "reason": "Both relate to LoRA loading, but one is memory growth while loading weights and the other is an Xlabs-trained LoRA compatibility/loading error; not the same concrete defect." + }, + { + "left": "issue:12535", + "right": "issue:12689", + "accept": false, + "reason": "Both are LoRA-loading related, but one is a Wan2.2 Lightning LoRA not loading and the other is generic checkpoint adapter weights not being loaded; too different to merge." + }, + { + "left": "issue:1197", + "right": "issue:905", + "accept": false, + "reason": "These are separate community pipeline feature requests: OpenAI Diffusion Pipeline vs image2image inpainting." + }, + { + "left": "issue:234", + "right": "issue:2549", + "accept": false, + "reason": "Half-precision runtime failure and SD2-based UNet incompatibility are different model issues." + }, + { + "left": "issue:4325", + "right": "issue:5103", + "accept": false, + "reason": "Both mention black images, but the likely causes differ: SDXL runtime warning/cast issue vs zero_snr DDIM behavior." + }, + { + "left": "issue:6722", + "right": "issue:8555", + "accept": false, + "reason": "SigLIP text encoder support and SD3 FP8 text-encoder training are different feature requests." + }, + { + "left": "issue:9134", + "right": "issue:9997", + "accept": false, + "reason": "Both mention Flux LoRAs, but one is a loading issue with SimpleTuner-trained LoRAs and the other is a feature request for new Flux author LoRAs." + }, + { + "left": "issue:1100", + "right": "issue:1544", + "accept": false, + "reason": "Both are attribute errors, but they concern different objects and different runtime paths." + }, + { + "left": "issue:12195", + "right": "issue:13142", + "accept": false, + "reason": "Different dependency-compatibility failures: torch.library.custom_op missing vs transformers 5.1.0 breaking PRXPipeline.from_pretrained()." + }, + { + "left": "issue:2465", + "right": "issue:2599", + "accept": false, + "reason": "A training-recipe question is not the same as a multi-subject Dreambooth quality regression." + }, + { + "left": "issue:12575", + "right": "issue:9953", + "accept": false, + "reason": "Attention backend check errors and quantized-component device-move errors are separate pipeline/runtime issues." + }, + { + "left": "issue:11700", + "right": "issue:9279", + "accept": false, + "reason": "Pruna integration for loading models and dynamic LoRA loading under torch.compile are different changes and different problem statements." + }, + { + "left": "issue:1350", + "right": "issue:5442", + "accept": false, + "reason": "DiffusionDet object detection and ScaleCrafter are unrelated model/pipeline requests." + }, + { + "left": "issue:1616", + "right": "issue:5379", + "accept": false, + "reason": "LPW pipeline support and SpeechToImage are different community pipeline requests." + }, + { + "left": "issue:2618", + "right": "issue:3391", + "accept": false, + "reason": "A ControlNet image-input type issue and a DeepFloyd overexposure problem do not share the same underlying bug." + }, + { + "left": "issue:3124", + "right": "issue:6911", + "accept": false, + "reason": "Stable diffusion model conversion failure and UNet class-label handling are unrelated." + }, + { + "left": "issue:4080", + "right": "issue:5905", + "accept": false, + "reason": "These are separate feature requests for different pipelines/models: SDXL inpainting vs diffusion-GAN." + }, + { + "left": "issue:7592", + "right": "issue:8493", + "accept": false, + "reason": "Both are state_dict loading problems, but one is DoRA-specific key loading and the other is SD3Transformer2DModel shape/key errors; not the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 173, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10928", + "issue:11247", + "issue:11351", + "issue:11584", + "issue:13258", + "issue:1363", + "issue:1616", + "issue:2163", + "issue:2192", + "issue:2250", + "issue:2707", + "issue:2838", + "issue:3177", + "issue:3648", + "issue:3881", + "issue:4520", + "issue:4835", + "issue:5233", + "issue:5509", + "issue:5578", + "issue:5606", + "issue:5687", + "issue:5753", + "issue:5783", + "issue:5862", + "issue:5966", + "issue:6323", + "issue:6351", + "issue:6427", + "issue:6549", + "issue:6561", + "issue:6791", + "issue:6934", + "issue:6974", + "issue:7549", + "issue:7616", + "issue:7619", + "issue:8233", + "issue:8518", + "issue:8732", + "issue:8832", + "issue:8909", + "issue:8958", + "issue:9084", + "issue:9422", + "issue:9534", + "issue:9927", + "issue:9979" + ], + "soft_pairs": [ + "issue:11584|issue:8518", + "issue:6549|issue:6561", + "issue:8732|issue:8909", + "issue:4835|issue:5606", + "issue:6351|issue:8832", + "issue:8958|issue:9534", + "issue:10928|issue:8233", + "issue:2163|issue:2707", + "issue:6427|issue:6934", + "issue:11247|issue:9979", + "issue:3648|issue:3881", + "issue:5753|issue:6323", + "issue:2250|issue:5509", + "issue:1363|issue:1616", + "issue:9422|issue:9927", + "issue:11351|issue:13258", + "issue:2838|issue:5966", + "issue:4520|issue:6974", + "issue:5233|issue:9084", + "issue:5578|issue:5862", + "issue:5783|issue:7549", + "issue:2192|issue:6791", + "issue:3177|issue:7619", + "issue:5687|issue:7616" + ], + "prepared_review_unit_hash": "a71907ae188c30f3f81b73e2c45778fbfa22db55513ffaf6f79d2df47b2c54f2", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34229, + "estimated_input_tokens": 8558, + "estimated_eval_tokens": 17372 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are thematically similar Diffusers issues, but they are not duplicates of the same underlying bug. Only the EMA reports in train_text_to_image_sdxl (5783 and 7549) look like the same issue; the rest should stay separate.", + "confidence": 0.92, + "canonical_issue_reason": "No single canonical issue for the whole set; the only clear duplicate pair is issue:5783 / issue:7549, both about EMA handling in train_text_to_image_sdxl, with 5783 the better anchor because it is earlier and has the fuller discussion.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5783 is the strongest representative of the only true duplicate subcluster (EMA in train_text_to_image_sdxl) and is the most useful anchor for triage.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11584", + "right": "issue:8518", + "accept": false, + "reason": "Both mention torch.compile, but one is about group offloading on hunyuanvideo_frampack and the other is an SD3 compile unsupported-op error; different code paths." + }, + { + "left": "issue:6549", + "right": "issue:6561", + "accept": false, + "reason": "LoRA/IP-Adapter warning about lora_weight differs from a missing image_encoder config.json load failure." + }, + { + "left": "issue:8732", + "right": "issue:8909", + "accept": false, + "reason": "Both are training/checkpointing related, but one is an advanced SD1.5 checkpoint-save issue and the other is saving text_encoder_ti in dreambooth lora." + }, + { + "left": "issue:4835", + "right": "issue:5606", + "accept": false, + "reason": "MultiControlNet img2img bug vs LoRA alpha loading bug; no shared failing code path." + }, + { + "left": "issue:6351", + "right": "issue:8832", + "accept": false, + "reason": "DDP disable_adapters error in LCM distillation is unrelated to a generic pipe(prompt).images[0] crash." + }, + { + "left": "issue:8958", + "right": "issue:9534", + "accept": false, + "reason": "PyTorch register_fake compatibility issue vs FluxMultiControlNetModel missing config attribute; different failures." + }, + { + "left": "issue:10928", + "right": "issue:8233", + "accept": false, + "reason": "Missing UNet weight file and a depth-pipeline fp16 error are different load/runtime problems despite both mentioning fp16." + }, + { + "left": "issue:2163", + "right": "issue:2707", + "accept": false, + "reason": "UNet dtype mismatch during training is unrelated to a syntax error in a conversion script." + }, + { + "left": "issue:6427", + "right": "issue:6934", + "accept": false, + "reason": "Both concern conversion, but one is a general diffusers-to-ckpt problem and the other is an SDXL original-format conversion issue; too broad to merge as one bug." + }, + { + "left": "issue:11247", + "right": "issue:9979", + "accept": false, + "reason": "Both are Flux/controlnet issues, but one is multi-GPU distribution with controlnet and the other is a channels error in img2img controlnet." + }, + { + "left": "issue:3648", + "right": "issue:3881", + "accept": false, + "reason": "These are usage/questions about training data and VRAM, not the same bug." + }, + { + "left": "issue:5753", + "right": "issue:6323", + "accept": false, + "reason": "ControlNet + LoRA loading issue and TensorRT guidance_scale attribute error are unrelated pipeline bugs." + }, + { + "left": "issue:2250", + "right": "issue:5509", + "accept": false, + "reason": "Dreambooth prompt-generation failure vs image/prompt batch-size mismatch; different symptom and likely different cause." + }, + { + "left": "issue:1363", + "right": "issue:1616", + "accept": false, + "reason": "Both reference LPW/community pipelines, but one is an ONNX/LMS scheduler error and the other is a general pipeline support issue." + }, + { + "left": "issue:9422", + "right": "issue:9927", + "accept": false, + "reason": "Training NaNs in custom ControlNet SDXL code and HTTP header-too-large during SD3 controlnet training are unrelated." + }, + { + "left": "issue:11351", + "right": "issue:13258", + "accept": false, + "reason": "Wan video processor dtype behavior is not the same as a missing Wan2.2 TI2V image-to-video model." + }, + { + "left": "issue:2838", + "right": "issue:5966", + "accept": false, + "reason": "A feature request about controlnet_pipeline behavior is not the same as support for ControlNet on SD2.1." + }, + { + "left": "issue:4520", + "right": "issue:6974", + "accept": false, + "reason": "LoRA scale with attention slicing and unloading textual inversion are different adapter-management bugs." + }, + { + "left": "issue:5233", + "right": "issue:9084", + "accept": false, + "reason": "Callback step value bug is unrelated to SD3 inpaint scheduler ordering for scale_model_input." + }, + { + "left": "issue:5578", + "right": "issue:5862", + "accept": false, + "reason": "Missing model_index.json on load and lack of gradient checkpointing in Transformer2DModel are unrelated." + }, + { + "left": "issue:5783", + "right": "issue:7549", + "accept": true, + "reason": "Both are about EMA not working in train_text_to_image_sdxl and point to the same code path; 7549 reads like a later report/variant of the same bug." + }, + { + "left": "issue:2192", + "right": "issue:6791", + "accept": false, + "reason": "Different training scripts and different failures; one is missing CLI arguments, the other says train_text_to_image_sdxl can't run." + }, + { + "left": "issue:3177", + "right": "issue:7619", + "accept": false, + "reason": "Both are dreambooth-related, but one is DeepSpeed stage-3 offloading and the other is a channels mismatch; not the same bug." + }, + { + "left": "issue:5687", + "right": "issue:7616", + "accept": false, + "reason": "Low-strength img2img artifacts and duplicate timesteps with Karras sigmas are related at a high level but not the same concrete defect." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and the soft-edge calls are appropriately conservative. The only accepted pair, issue:5783 and issue:7549, is a plausible same-bug duplicate around EMA in train_text_to_image_sdxl, while the other rejected pairs are reasonably distinguished by different scripts, components, or failure modes." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 174, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10550", + "issue:11133", + "issue:11447", + "issue:11702", + "issue:1205", + "issue:12359", + "issue:1249", + "issue:1552", + "issue:1974", + "issue:2091", + "issue:2462", + "issue:255", + "issue:2581", + "issue:2991", + "issue:3019", + "issue:3103", + "issue:3191", + "issue:3445", + "issue:3540", + "issue:4000", + "issue:4892", + "issue:4974", + "issue:4993", + "issue:5023", + "issue:5152", + "issue:5432", + "issue:5889", + "issue:5966", + "issue:6157", + "issue:6382", + "issue:6407", + "issue:6540", + "issue:6811", + "issue:6858", + "issue:6949", + "issue:7033", + "issue:7079", + "issue:7255", + "issue:730", + "issue:761", + "issue:7948", + "issue:8732", + "issue:8738", + "issue:8873", + "issue:9454", + "issue:9546", + "issue:9763" + ], + "soft_pairs": [ + "issue:2091|issue:8732", + "issue:1205|issue:4974", + "issue:2462|issue:5966", + "issue:6811|issue:9454", + "issue:7079|issue:8873", + "issue:1249|issue:1974", + "issue:11447|issue:8873", + "issue:255|issue:3103", + "issue:3019|issue:6407", + "issue:5432|issue:6949", + "issue:7255|issue:7948", + "issue:2991|issue:761", + "issue:9546|issue:9763", + "issue:5023|issue:5152", + "issue:10550|issue:11702", + "issue:3540|issue:6157", + "issue:1552|issue:730", + "issue:6382|issue:7033", + "issue:2581|issue:4000", + "issue:4892|issue:5889", + "issue:3191|issue:3445", + "issue:4993|issue:5023", + "issue:10026|issue:8738", + "issue:11133|issue:12359", + "issue:6540|issue:6858" + ], + "prepared_review_unit_hash": "9ed85a686ea254de8623409b7ce5d354e5bd953c29e80c5a4bad081f3da21823", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34234, + "estimated_input_tokens": 8559, + "estimated_eval_tokens": 17374 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated issues about training, conversion, pipeline bugs, model loading, docs, and performance. None of the soft pairs look like true duplicates of the same underlying bug/change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "If a representative issue is needed, issue 6858 is the most actionable: it is open, detailed, and describes a concrete training failure. But the cluster has no real single canonical issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2091", + "right": "issue:8732", + "accept": false, + "reason": "Both involve checkpointing during training, but one is multi-GPU resume behavior and the other is checkpoint shard loading offline; different failure paths." + }, + { + "left": "issue:1205", + "right": "issue:4974", + "accept": false, + "reason": "Both are conversion-related, but one is SD-to-ONNX conversion and the other is safetensor-to-diffusers conversion; not the same change or bug." + }, + { + "left": "issue:2462", + "right": "issue:5966", + "accept": false, + "reason": "IterableDataset training support and ControlNet 2.1 model support are different feature requests." + }, + { + "left": "issue:6811", + "right": "issue:9454", + "accept": false, + "reason": "Both are model-not-found errors, but they target different models/resources and likely different download or repo issues." + }, + { + "left": "issue:7079", + "right": "issue:8873", + "accept": false, + "reason": "One is a Transformer2DModel shape/config error; the other is xformers performance slowdown. Different problems." + }, + { + "left": "issue:1249", + "right": "issue:1974", + "accept": false, + "reason": "OnnxPipeline ndarray device handling and Euler scheduler generator handling are unrelated code paths." + }, + { + "left": "issue:11447", + "right": "issue:8873", + "accept": false, + "reason": "Offline checkpoint shard loading and xformers speed are unrelated." + }, + { + "left": "issue:255", + "right": "issue:3103", + "accept": false, + "reason": "Both mention image dimensions, but one is a StableDiffusionPipeline 8-divisibility error and the other is an inpainting size issue; not the same bug." + }, + { + "left": "issue:3019", + "right": "issue:6407", + "accept": false, + "reason": "Different model/pipeline requests: segment-anything for editing versus AnyText multilingual generation/editing." + }, + { + "left": "issue:5432", + "right": "issue:6949", + "accept": false, + "reason": "Both mention blank outputs, but one is validation images in a training script and the other is an even-step scheduler generation bug." + }, + { + "left": "issue:7255", + "right": "issue:7948", + "accept": false, + "reason": "These are unrelated model proposals: PeRFlow accelerator versus MuLan language adapter." + }, + { + "left": "issue:2991", + "right": "issue:761", + "accept": false, + "reason": "Mixed-precision ControlNet training and 8-bit Adam DreamBooth failures are different optimizer/training issues." + }, + { + "left": "issue:9546", + "right": "issue:9763", + "accept": false, + "reason": "Both are Flux ControlNet training example issues, but one is validation OOM and the other is token truncation; different concrete problems." + }, + { + "left": "issue:5023", + "right": "issue:5152", + "accept": false, + "reason": "Both are Wuerstchen-related, but they are different version-specific import/runtime issues." + }, + { + "left": "issue:10550", + "right": "issue:11702", + "accept": false, + "reason": "Both concern LoRA loading, but one is quantized-base-model loading and the other is an AccVid key error in diffusers; not the same bug." + }, + { + "left": "issue:3540", + "right": "issue:6157", + "accept": false, + "reason": "Different pipelines and failures: TextToVideoZero prompt embeds versus ControlNet img2img IP-Adapter behavior." + }, + { + "left": "issue:1552", + "right": "issue:730", + "accept": false, + "reason": "Stable Diffusion attention slicing and DreamBooth learning behavior are unrelated." + }, + { + "left": "issue:6382", + "right": "issue:7033", + "accept": false, + "reason": "One is an IP-Adapter key error during SDXL/LCM-LoRA use; the other is a warning-log issue about attention masking. Not the same bug." + }, + { + "left": "issue:2581", + "right": "issue:4000", + "accept": false, + "reason": "Both are checkpoint conversion topics, but they target different model families and conversion paths." + }, + { + "left": "issue:4892", + "right": "issue:5889", + "accept": false, + "reason": "Different video pipeline/model requests: TokenFlow versus Stable Video Diffusion." + }, + { + "left": "issue:3191", + "right": "issue:3445", + "accept": false, + "reason": "Both involve DreamBooth LoRA, but one is a broad breakage report and the other is a specific text-encoder monkey-patching failure; not enough to treat as the same bug." + }, + { + "left": "issue:4993", + "right": "issue:5023", + "accept": false, + "reason": "Different import errors in different modules; same general area, but not the same underlying issue." + }, + { + "left": "issue:10026", + "right": "issue:8738", + "accept": false, + "reason": "Multi-GPU DeepSpeed memory behavior and SD3Transformer2DModel configuration are different training/setup problems." + }, + { + "left": "issue:11133", + "right": "issue:12359", + "accept": false, + "reason": "A CogVideoX image-to-video bug and a Chroma docs issue about guidance_scale are unrelated." + }, + { + "left": "issue:6540", + "right": "issue:6858", + "accept": false, + "reason": "Both are ControlNet training errors, but the exceptions and likely causes differ substantially." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 175, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10040", + "issue:10428", + "issue:1100", + "issue:11006", + "issue:11104", + "issue:11136", + "issue:11359", + "issue:11410", + "issue:11830", + "issue:12120", + "issue:1536", + "issue:1695", + "issue:1802", + "issue:2089", + "issue:2107", + "issue:2179", + "issue:2495", + "issue:2695", + "issue:3213", + "issue:4030", + "issue:4186", + "issue:4321", + "issue:4752", + "issue:4892", + "issue:4936", + "issue:5227", + "issue:5274", + "issue:6090", + "issue:6258", + "issue:6385", + "issue:6549", + "issue:6594", + "issue:7002", + "issue:7168", + "issue:7731", + "issue:7950", + "issue:7974", + "issue:8182", + "issue:8472", + "issue:8518", + "issue:8551", + "issue:858", + "issue:8832", + "issue:8879", + "issue:8958", + "issue:9630", + "issue:9889", + "issue:9979" + ], + "soft_pairs": [ + "issue:11359|issue:12120", + "issue:11830|issue:4321", + "issue:1802|issue:4186", + "issue:2107|issue:2179", + "issue:6385|issue:8551", + "issue:11136|issue:9889", + "issue:10040|issue:6258", + "issue:2695|issue:9630", + "issue:2495|issue:4321", + "issue:11410|issue:7950", + "issue:6549|issue:7974", + "issue:4936|issue:8472", + "issue:5227|issue:8879", + "issue:11006|issue:11104", + "issue:1536|issue:3213", + "issue:4752|issue:5274", + "issue:8182|issue:8958", + "issue:8518|issue:8879", + "issue:1100|issue:858", + "issue:4892|issue:7731", + "issue:10428|issue:9979", + "issue:1695|issue:2089", + "issue:4030|issue:6594", + "issue:6090|issue:7002", + "issue:7168|issue:8832" + ], + "prepared_review_unit_hash": "7917f5847d69574023460dfb1a3d93bc1247d73c769b3c7b617723cbd05512eb", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34777, + "estimated_input_tokens": 8695, + "estimated_eval_tokens": 17646 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated bugs, feature requests, and backend-specific failures across different pipelines/models. None of the soft pairs look like the same underlying issue or a mergeable duplicate PR candidate, so no canonical issue/PR emerges.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11359", + "right": "issue:12120", + "accept": false, + "reason": "Feature request for LTX-Video speedup vs a question about training LoRA on distilled Flux; different topics and no shared bug path." + }, + { + "left": "issue:11830", + "right": "issue:4321", + "accept": false, + "reason": "Both mention black output, but they are different pipelines/backends (Framepack fp16 vs ONNX DirectML) with no evidence of the same code defect." + }, + { + "left": "issue:1802", + "right": "issue:4186", + "accept": false, + "reason": "unet_2d_condition encoder_hidden_states=None failure is unrelated to SDXL inpaint/refiner behavior." + }, + { + "left": "issue:2107", + "right": "issue:2179", + "accept": false, + "reason": "Generic black/glitchy images, but one is low-resolution image output and the other is a FlaxDDPMScheduler black-image bug; not the same concrete issue." + }, + { + "left": "issue:6385", + "right": "issue:8551", + "accept": false, + "reason": "High VRAM usage in StableVideoDiffusionPipeline is unrelated to device placement of image latents in SDXL inpaint with device_map='balanced'." + }, + { + "left": "issue:11136", + "right": "issue:9889", + "accept": false, + "reason": "SanaSprint timestep limitation vs an SDXL-Turbo segmentation fault on a specific torch build; different pipelines and failure modes." + }, + { + "left": "issue:10040", + "right": "issue:6258", + "accept": false, + "reason": "Stable Diffusion 3 gray images is a different model/output problem than Stable Video Diffusion forward-chunking image-quality degradation." + }, + { + "left": "issue:2695", + "right": "issue:9630", + "accept": false, + "reason": "Both involve ControlNet training, but one is a TensorBoard validation/reporting failure and the other is a flux-controlnet configuration error on single GPU." + }, + { + "left": "issue:2495", + "right": "issue:4321", + "accept": false, + "reason": "Black image symptom on MPS upscale vs black images on ONNX FP16 DirectML; different pipelines and platforms, no shared underlying bug." + }, + { + "left": "issue:11410", + "right": "issue:7950", + "accept": false, + "reason": "An attention_processor unpacking ValueError is not the same as a PyTorch 2.3 compatibility problem." + }, + { + "left": "issue:6549", + "right": "issue:7974", + "accept": false, + "reason": "One is just warning logs about IP-Adapter + LoRA weights, the other is an actual inpaint bug with IP Adapter; not the same defect." + }, + { + "left": "issue:4936", + "right": "issue:8472", + "accept": false, + "reason": "DreamBooth LoRA resume training bug is unrelated to a general question about pre-training LoRA with other modules." + }, + { + "left": "issue:5227", + "right": "issue:8879", + "accept": false, + "reason": "Both mention torch.compile, but one is load_lora_weight failing under compile and the other is a cudagraph failure in SDXL; different code paths and symptoms." + }, + { + "left": "issue:11006", + "right": "issue:11104", + "accept": false, + "reason": "Wan 2.1 I2V quantized-transformer video corruption is unrelated to LTX-Video 0.9.5 offload-method breakage." + }, + { + "left": "issue:1536", + "right": "issue:3213", + "accept": false, + "reason": "Both concern lpw_stable_diffusion, but they describe separate incompatibility/regression reports rather than one concrete duplicate bug." + }, + { + "left": "issue:4752", + "right": "issue:5274", + "accept": false, + "reason": "SDXL half/float mismatch is not the same as a mixed_precision fp16 training runtime error, even if both involve dtype issues." + }, + { + "left": "issue:8182", + "right": "issue:8958", + "accept": false, + "reason": "Logger.warninging typo is unrelated to a torch.library.register_fake missing-attribute incompatibility." + }, + { + "left": "issue:8518", + "right": "issue:8879", + "accept": false, + "reason": "torch.compile unsupported call on SD3 is a different failure from a cudagraph issue in StableDiffusionXL." + }, + { + "left": "issue:1100", + "right": "issue:858", + "accept": false, + "reason": "CLIPTextTransformer missing .device and Parameter missing named_children are distinct attribute errors in different parts of the stack." + }, + { + "left": "issue:4892", + "right": "issue:7731", + "accept": false, + "reason": "TokenFlow video-editing pipeline and StreamingT2V long-video generation are different models/features, not duplicates." + }, + { + "left": "issue:10428", + "right": "issue:9979", + "accept": false, + "reason": "Ascend NPU Flux inference error and flux img2img controlnet channel mismatch are unrelated Flux issues with different failure points." + }, + { + "left": "issue:1695", + "right": "issue:2089", + "accept": false, + "reason": "Multi-GPU DreamBooth training setup question vs CUDA OOM during AltDiffusion DreamBooth training; different underlying problems." + }, + { + "left": "issue:4030", + "right": "issue:6594", + "accept": false, + "reason": "Stable Diffusion embedding runtime error is unrelated to a network ConnectionError fetching a config file." + }, + { + "left": "issue:6090", + "right": "issue:7002", + "accept": false, + "reason": "Channel-mismatch in a convolution layer is not the same as an absurdly large invalid buffer size error." + }, + { + "left": "issue:7168", + "right": "issue:8832", + "accept": false, + "reason": "IP-Adapter image-embed shape confusion is unrelated to a generic crash at pipe(prompt).images[0]." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 176, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1013", + "issue:10165", + "issue:10223", + "issue:1049", + "issue:10492", + "issue:10512", + "issue:1061", + "issue:1070", + "issue:10804", + "issue:10866", + "issue:10940", + "issue:11014", + "issue:11062", + "issue:11215", + "issue:11464", + "issue:11648", + "issue:1185", + "issue:11853", + "issue:2234", + "issue:2265", + "issue:259", + "issue:2599", + "issue:2880", + "issue:3149", + "issue:3382", + "issue:3412", + "issue:3566", + "issue:3595", + "issue:3886", + "issue:4398", + "issue:5064", + "issue:5075", + "issue:5128", + "issue:5215", + "issue:5258", + "issue:5433", + "issue:5630", + "issue:6154", + "issue:6297", + "issue:6741", + "issue:7516", + "issue:7982", + "issue:9136", + "issue:9208", + "issue:9525", + "issue:9558", + "issue:987" + ], + "soft_pairs": [ + "issue:2265|issue:3886", + "issue:10492|issue:11062", + "issue:11014|issue:3382", + "issue:10223|issue:4398", + "issue:5128|issue:9208", + "issue:5215|issue:5630", + "issue:3566|issue:987", + "issue:5630|issue:9558", + "issue:11853|issue:9136", + "issue:6154|issue:6741", + "issue:3595|issue:7982", + "issue:2234|issue:6297", + "issue:5258|issue:5433", + "issue:10165|issue:10866", + "issue:5064|issue:5075", + "issue:1013|issue:3149", + "issue:1049|issue:3412", + "issue:10512|issue:10804", + "issue:1061|issue:2880", + "issue:1070|issue:259", + "issue:10940|issue:7516", + "issue:11215|issue:9525", + "issue:11464|issue:11648", + "issue:1185|issue:2599" + ], + "prepared_review_unit_hash": "2546870894476a9c5ad81aab037c33af0eb59054ecaab513f99bafad0c363114", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33171, + "estimated_input_tokens": 8293, + "estimated_eval_tokens": 16842 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is highly heterogeneous: it mixes unrelated issues about LoRA loading, training OOMs, docs updates, pipeline quirks, and import/runtime errors. I do not see any soft pair that clearly refers to the same concrete bug or change.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:9525 is the cleanest, most concrete bug report in the main Flux/LoRA subtheme: it describes a specific, reproducible lora_scale failure with a narrow code path.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2265", + "right": "issue:3886", + "accept": false, + "reason": "Different failure modes and code paths: ONNXRuntime incompatibility in a training script vs distributed training watchdog timeout." + }, + { + "left": "issue:10492", + "right": "issue:11062", + "accept": false, + "reason": "One is about torchao quantize + LoRA fusion, the other about loading a specific CivitAI LoRA; related area but not the same bug." + }, + { + "left": "issue:11014", + "right": "issue:3382", + "accept": false, + "reason": "Both mention OOM, but one is general inference memory pressure and the other is multi-GPU training memory usage; likely separate root causes." + }, + { + "left": "issue:10223", + "right": "issue:4398", + "accept": false, + "reason": "Unrelated: obtaining a LoRA ID in inference is a usage question, while black images in SDXL LoRA DreamBooth is a rendering/training bug." + }, + { + "left": "issue:5128", + "right": "issue:9208", + "accept": false, + "reason": "Both involve from_single_file loading, but one is a local safetensors/XLPipeline case and the other is ControlNet model loading; too different to merge." + }, + { + "left": "issue:5215", + "right": "issue:5630", + "accept": false, + "reason": "Both affect image output quality, but brightness shifts on dark images and leftover noise in SDXL img2img are different concrete behaviors." + }, + { + "left": "issue:3566", + "right": "issue:987", + "accept": false, + "reason": "Different pipelines and symptoms: ControlNet reference issues vs speech-to-image producing green output." + }, + { + "left": "issue:5630", + "right": "issue:9558", + "accept": false, + "reason": "One is SDXL img2img noise leftover, the other is black validation images in TensorBoard; same color theme, different bug." + }, + { + "left": "issue:11853", + "right": "issue:9136", + "accept": false, + "reason": "Both mention IP-Adapter, but one is a load/compatibility conflict with ControlNet and the other is a quality regression at some resolutions." + }, + { + "left": "issue:6154", + "right": "issue:6741", + "accept": false, + "reason": "Different issues: SDXL LoRA training on M2 Mac vs a missing argparse field in a Diffusion DPO script." + }, + { + "left": "issue:3595", + "right": "issue:7982", + "accept": false, + "reason": "Both touch pipeline conversion helpers, but from_ckpt not working and from_pipe with MultiControlNetModel are distinct code paths." + }, + { + "left": "issue:2234", + "right": "issue:6297", + "accept": false, + "reason": "Different training problems: xformers memory-efficient attention finetuning vs a general SDXL LoRA training complaint." + }, + { + "left": "issue:5258", + "right": "issue:5433", + "accept": false, + "reason": "Both involve SDXL and refiner mentions, but one is ControlNet inpaint with refiner while the other is DPM++ artifacts without refiner." + }, + { + "left": "issue:10165", + "right": "issue:10866", + "accept": false, + "reason": "Both are LoRA-related, but one is seed preservation when changing LoRA scale and the other is loading a Lumina 2.0 LoRA from Civitai." + }, + { + "left": "issue:5064", + "right": "issue:5075", + "accept": false, + "reason": "Refiner is common, but one is out-of-space during inference and the other is a shape-mismatch runtime error with prompt embeddings." + }, + { + "left": "issue:1013", + "right": "issue:3149", + "accept": false, + "reason": "StableDiffusionMegaPipeline on Diffusers 6.0 and non-deterministic images in 0.14.0 are unrelated regression reports." + }, + { + "left": "issue:1049", + "right": "issue:3412", + "accept": false, + "reason": "Both are documentation tasks, but they target different docs sections and different content." + }, + { + "left": "issue:10512", + "right": "issue:10804", + "accept": false, + "reason": "Both are Flux LoRA load failures, but the model variants and failure contexts differ enough that they do not look like one concrete bug." + }, + { + "left": "issue:1061", + "right": "issue:2880", + "accept": false, + "reason": "Docs update for Stable Diffusion v1.5 is unrelated to a JAX Colab runtime failure." + }, + { + "left": "issue:1070", + "right": "issue:259", + "accept": false, + "reason": "Inpainting bug and progress bar fix are entirely different issues." + }, + { + "left": "issue:10940", + "right": "issue:7516", + "accept": false, + "reason": "Missing triton.ops import and missing DepthNormalEstimationPipeline attribute are distinct import/availability problems." + }, + { + "left": "issue:11215", + "right": "issue:9525", + "accept": false, + "reason": "Both concern Flux/LoRA support, but one is about slow quantization and broad support limitations while the other is a specific lora_scale no-op bug." + }, + { + "left": "issue:11464", + "right": "issue:11648", + "accept": false, + "reason": "Different load failures: one is a FluxControlPipeline LoRA incompatibility, the other is loading LoRA weights with an fp8 transformer model." + }, + { + "left": "issue:1185", + "right": "issue:2599", + "accept": false, + "reason": "Reproducibility in DreamBooth and multi-subject quality degradation are separate training concerns." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 177, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11964", + "issue:1304", + "issue:1305", + "issue:1500", + "issue:1552", + "issue:1572", + "issue:1807", + "issue:2053", + "issue:2093", + "issue:2218", + "issue:2361", + "issue:2437", + "issue:2462", + "issue:2645", + "issue:2689", + "issue:2776", + "issue:2783", + "issue:2785", + "issue:2844", + "issue:2991", + "issue:3175", + "issue:3583", + "issue:3803", + "issue:3811", + "issue:383", + "issue:4064", + "issue:4080", + "issue:4117", + "issue:4152", + "issue:4376", + "issue:4868", + "issue:4933", + "issue:5014", + "issue:5153", + "issue:528", + "issue:540", + "issue:5595", + "issue:6158", + "issue:660", + "issue:668", + "issue:684", + "issue:7428", + "issue:776", + "issue:7877", + "issue:905", + "issue:9178", + "issue:9637" + ], + "soft_pairs": [ + "issue:11964|issue:9178", + "issue:1304|issue:2093", + "issue:1305|issue:5153", + "issue:1500|issue:2053", + "issue:1552|issue:1807", + "issue:1572|issue:4933", + "issue:2218|issue:5014", + "issue:2361|issue:4376", + "issue:2437|issue:4064", + "issue:2462|issue:540", + "issue:2645|issue:660", + "issue:2689|issue:776", + "issue:2776|issue:5595", + "issue:2783|issue:905", + "issue:2785|issue:4080", + "issue:2844|issue:668", + "issue:2991|issue:9637", + "issue:3175|issue:3803", + "issue:3583|issue:7428", + "issue:3811|issue:4868", + "issue:383|issue:528", + "issue:4080|issue:6158", + "issue:4117|issue:684", + "issue:4152|issue:7877" + ], + "prepared_review_unit_hash": "4607527e02a2ed5d9acbd15c67ca501413dd3418d1b1732c1d2891c3f9c9812b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32748, + "estimated_input_tokens": 8187, + "estimated_eval_tokens": 16630 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab-bag of unrelated Diffusers issues. None of the soft pairs look like the same underlying bug/change closely enough to merge, so I would keep them separate. If one issue must anchor the cluster, the most concrete and current report is the Flux LoRA loading error.", + "confidence": 0.37, + "canonical_issue_reason": "issue:11964 is the most specific and current concrete bug report in the set; it has a clear failure mode and is more actionable than the broader feature/questions here.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11964 is the best representative issue because it is a well-scoped, reproducible runtime error rather than a broad request or generic question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11964", + "right": "issue:9178", + "accept": false, + "reason": "Both mention Flux LoRA, but one is about loading missing weights and the other about PEFT target-module training errors; different stages and symptoms." + }, + { + "left": "issue:1304", + "right": "issue:2093", + "accept": false, + "reason": "Both are about image-to-image diffusion in general, but one is a training how-to question and the other is a generic model-topic issue." + }, + { + "left": "issue:1305", + "right": "issue:5153", + "accept": false, + "reason": "Direct inversion editing and FreeU are unrelated topics; no shared bug or change." + }, + { + "left": "issue:1500", + "right": "issue:2053", + "accept": false, + "reason": "One is a pipeline compatibility break, the other is a VRAM regression; different problems." + }, + { + "left": "issue:1552", + "right": "issue:1807", + "accept": false, + "reason": "Attention slicing failure and slower inference are not the same concrete bug." + }, + { + "left": "issue:1572", + "right": "issue:4933", + "accept": false, + "reason": "Img2img/inpainting pipeline failure and Dreambooth checkpoint saving are unrelated." + }, + { + "left": "issue:2218", + "right": "issue:5014", + "accept": false, + "reason": "Both are training-related, but one is about overfitting and the other about poor LoRA results; not the same bug." + }, + { + "left": "issue:2361", + "right": "issue:4376", + "accept": false, + "reason": "Checkpoint save crashes and SDXL textual inversion crashes are separate code paths." + }, + { + "left": "issue:2437", + "right": "issue:4064", + "accept": false, + "reason": "Both request new pipelines, but for different features and implementations." + }, + { + "left": "issue:2462", + "right": "issue:540", + "accept": false, + "reason": "IterableDataset support and memory placement optimization are different training concerns." + }, + { + "left": "issue:2645", + "right": "issue:660", + "accept": false, + "reason": "Both involve M1/MPS/CUDA confusion, but they report different runtime issues and are not the same failure." + }, + { + "left": "issue:2689", + "right": "issue:776", + "accept": false, + "reason": "Broken image link is unrelated to batch-size img2img breakage." + }, + { + "left": "issue:2776", + "right": "issue:5595", + "accept": false, + "reason": "DeepSpeed/ZeRO training setup and latent size divisibility are unrelated errors." + }, + { + "left": "issue:2783", + "right": "issue:905", + "accept": false, + "reason": "Both mention img2img/inpainting ControlNet, but one is a feature request and the other is a community-pipeline question; not clearly the same change." + }, + { + "left": "issue:2785", + "right": "issue:4080", + "accept": false, + "reason": "Text-to-video M1/M2 support and SDXL inpainting are separate feature requests." + }, + { + "left": "issue:2844", + "right": "issue:668", + "accept": false, + "reason": "StableUnCLIP image embeddings and Dreambooth training errors are unrelated." + }, + { + "left": "issue:2991", + "right": "issue:9637", + "accept": false, + "reason": "Mixed-precision ControlNet example failure and XFormers attention-mask bfloat issue are different attention-stack bugs." + }, + { + "left": "issue:3175", + "right": "issue:3803", + "accept": false, + "reason": "Dreambooth multi-face training and multi-GPU LoRA sharing are not the same defect." + }, + { + "left": "issue:3583", + "right": "issue:7428", + "accept": false, + "reason": "Mixture of Diffusers support and layer diffusion support are different features." + }, + { + "left": "issue:3811", + "right": "issue:4868", + "accept": false, + "reason": "LoRA having no effect and a generic AttributeError are not the same underlying issue." + }, + { + "left": "issue:383", + "right": "issue:528", + "accept": false, + "reason": "These are unrelated questions about different model/config classes." + }, + { + "left": "issue:4080", + "right": "issue:6158", + "accept": false, + "reason": "SDXL inpainting and Animatediff SDXL support are different pipeline requests." + }, + { + "left": "issue:4117", + "right": "issue:684", + "accept": false, + "reason": "SDXL Dreambooth failure and AMD memory optimization issues are unrelated." + }, + { + "left": "issue:4152", + "right": "issue:7877", + "accept": false, + "reason": "Different attention API enhancements; not the same bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 178, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:12369", + "issue:12457", + "issue:12480", + "issue:12481", + "issue:12482", + "issue:12483", + "issue:2453", + "issue:3698", + "issue:4241", + "issue:4274", + "issue:4316", + "issue:4340", + "issue:4405", + "issue:4445", + "issue:4460", + "issue:4727", + "issue:4773", + "issue:4806", + "issue:4876", + "issue:5004", + "issue:5150", + "issue:5330", + "issue:5371", + "issue:5392", + "issue:5405", + "issue:5432", + "issue:5577", + "issue:5932", + "issue:6218", + "issue:6297", + "issue:6388", + "issue:6423", + "issue:6439", + "issue:6791", + "issue:6865", + "issue:7002", + "issue:7009", + "issue:7142", + "issue:7146", + "issue:7592", + "issue:8472", + "issue:8532", + "issue:9393", + "issue:9568", + "issue:9611", + "issue:9645", + "issue:9767", + "issue:986" + ], + "soft_pairs": [ + "issue:4274|issue:5371", + "issue:4316|issue:5432", + "issue:4340|issue:8472", + "issue:4405|issue:6388", + "issue:4460|issue:7142", + "issue:4727|issue:5577", + "issue:4773|issue:8532", + "issue:4806|issue:5330", + "issue:5004|issue:6439", + "issue:5150|issue:5405", + "issue:5392|issue:986", + "issue:5932|issue:7002", + "issue:6218|issue:7592", + "issue:6297|issue:9393", + "issue:6791|issue:7146", + "issue:6865|issue:9645", + "issue:7009|issue:9568", + "issue:9611|issue:9767", + "issue:12481|issue:12483", + "issue:12482|issue:12483", + "issue:12480|issue:12483", + "issue:2453|issue:6423", + "issue:2453|issue:4241", + "issue:12369|issue:12457", + "issue:3698|issue:4445", + "issue:4241|issue:4876", + "issue:4241|issue:6423", + "issue:4445|issue:4876" + ], + "prepared_review_unit_hash": "42fc4fde5723355507b628bff6084ee4f6567bdc68e642a2a6e1804a82e7b532", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 34481, + "estimated_input_tokens": 8621, + "estimated_eval_tokens": 17498 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly unrelated, but it contains one clear duplicate bug set around `CLIPTextModel.__init__()` receiving `offload_state_dict`, plus a likely duplicate CineScale feature request pair.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 12483 is the strongest canonical issue: it most clearly states the shared failure mode and environment (`diffusers 0.35.1` with `transformers 4.57.0`) behind the repeated `offload_state_dict` TypeError reports.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 12483 is the best representative issue because it is the most explicit and general description of the duplicate TypeError cluster; the other matching reports are near-verbatim duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4274", + "right": "issue:5371", + "accept": false, + "reason": "Both are pipeline feature requests, but they target different BLIP additions (diffusion vs inpainting support) and are not the same change." + }, + { + "left": "issue:4316", + "right": "issue:5432", + "accept": false, + "reason": "Both concern training-script validation, but one is a validation-option error and the other is blank validation images; different bugs." + }, + { + "left": "issue:4340", + "right": "issue:8472", + "accept": false, + "reason": "Both mention LoRA training, but one is a concrete `train_text_encoder` error and the other is a general usage question about combining modules." + }, + { + "left": "issue:4405", + "right": "issue:6388", + "accept": false, + "reason": "Different issues: adding an SDXL textual inversion script vs gradient-checkpointing being ignored in SDXL LoRA training." + }, + { + "left": "issue:4460", + "right": "issue:7142", + "accept": false, + "reason": "Both compare outputs, but they refer to different pipelines and different mismatch types; not the same underlying bug." + }, + { + "left": "issue:4727", + "right": "issue:5577", + "accept": false, + "reason": "Different code paths: `local_files_only` auto-pipeline loading vs `ControlNetModel.from_single_file` key errors." + }, + { + "left": "issue:4773", + "right": "issue:8532", + "accept": false, + "reason": "One is about loading CivitAI LoRA files, the other about progressive memory growth when loading LoRA weights; not the same defect." + }, + { + "left": "issue:4806", + "right": "issue:5330", + "accept": false, + "reason": "Both involve `UNet2DModel`, but one is a parameter type issue and the other is `class_labels` being ignored; separate bugs." + }, + { + "left": "issue:5004", + "right": "issue:6439", + "accept": false, + "reason": "Checkpoint resume failure in SDXL fp16 is unrelated to a docs link 404." + }, + { + "left": "issue:5150", + "right": "issue:5405", + "accept": false, + "reason": "Both mention `from_single_file`, but one is a missing method and the other is weights not being overwritten; different issues." + }, + { + "left": "issue:5392", + "right": "issue:986", + "accept": false, + "reason": "A training question for latent diffusion is unrelated to a generic demo question about calling train." + }, + { + "left": "issue:5932", + "right": "issue:7002", + "accept": false, + "reason": "Different runtime failures with different symptoms and likely different causes." + }, + { + "left": "issue:6218", + "right": "issue:7592", + "accept": false, + "reason": "Batched seeds in ControlNet/img2img is unrelated to DoRA state-dict loading." + }, + { + "left": "issue:6297", + "right": "issue:9393", + "accept": false, + "reason": "Both are training-related, but one is an SDXL photo-training problem and the other is a Flux DreamBooth LoRA save-model issue." + }, + { + "left": "issue:6791", + "right": "issue:7146", + "accept": false, + "reason": "Same script family, but one is a general run failure and the other is CUDA OOM; not the same bug." + }, + { + "left": "issue:6865", + "right": "issue:9645", + "accept": false, + "reason": "A missing image-instance check is unrelated to an import error for `StableDiffusionLoraLoaderMixin`." + }, + { + "left": "issue:7009", + "right": "issue:9568", + "accept": false, + "reason": "Different video/autoencoder failure modes; not the same underlying problem." + }, + { + "left": "issue:9611", + "right": "issue:9767", + "accept": false, + "reason": "Both involve Flux image pipelines, but one is a batching error and the other is a cuDNN frontend error during LoRA use; too different to merge." + }, + { + "left": "issue:12481", + "right": "issue:12483", + "accept": true, + "reason": "Near-verbatim duplicate of the same `CLIPTextModel` `offload_state_dict` TypeError report." + }, + { + "left": "issue:12482", + "right": "issue:12483", + "accept": true, + "reason": "Same underlying `CLIPTextModel` unexpected kwarg `offload_state_dict` bug." + }, + { + "left": "issue:12480", + "right": "issue:12483", + "accept": true, + "reason": "Same TypeError and dependency-mismatch report; only the title wording differs." + }, + { + "left": "issue:2453", + "right": "issue:6423", + "accept": false, + "reason": "A contribution question is unrelated to a reproducibility issue for fill50k results." + }, + { + "left": "issue:2453", + "right": "issue:4241", + "accept": false, + "reason": "General contribution question is unrelated to a LoRA fine-tuning support request." + }, + { + "left": "issue:12369", + "right": "issue:12457", + "accept": true, + "reason": "Both appear to be the same CineScale request; the second title is just the shorter form of the first." + }, + { + "left": "issue:3698", + "right": "issue:4445", + "accept": false, + "reason": "Different fine-tuning topics: inpainting model conversion vs LoRA training guidance." + }, + { + "left": "issue:4241", + "right": "issue:4876", + "accept": false, + "reason": "Both are LoRA-related, but one asks about fine-tuning support and the other asks for a LoRA std argument; not the same change." + }, + { + "left": "issue:4241", + "right": "issue:6423", + "accept": false, + "reason": "Different questions and no shared bug/change." + }, + { + "left": "issue:4445", + "right": "issue:4876", + "accept": false, + "reason": "A how-to question about LoRA fine-tuning is not the same as a parameter-request feature for LoRA std." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative: it identifies the tight `offload_state_dict` TypeError duplicate set around issues 12480/12481/12482/12483, and it only calls the CineScale pair a likely duplicate. The other soft-edge rejections are appropriately cautious based on the issue titles alone." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 179, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11519", + "issue:11560", + "issue:12369", + "issue:1755", + "issue:1962", + "issue:200", + "issue:202", + "issue:2195", + "issue:2311", + "issue:2453", + "issue:2462", + "issue:2838", + "issue:3385", + "issue:3427", + "issue:3576", + "issue:3593", + "issue:378", + "issue:384", + "issue:3902", + "issue:4445", + "issue:4609", + "issue:4716", + "issue:4747", + "issue:4750", + "issue:4913", + "issue:4922", + "issue:4978", + "issue:5274", + "issue:5425", + "issue:5447", + "issue:5628", + "issue:5630", + "issue:5932", + "issue:5947", + "issue:6572", + "issue:671", + "issue:692", + "issue:743", + "issue:7619", + "issue:7972", + "issue:8241", + "issue:9031", + "issue:9032", + "issue:9038", + "issue:9039", + "issue:9047", + "issue:9224", + "issue:9410" + ], + "soft_pairs": [ + "issue:4445|issue:692", + "issue:3576|issue:3593", + "issue:4913|issue:6572", + "issue:1755|issue:4609", + "issue:1755|issue:2311", + "issue:4922|issue:692", + "issue:4750|issue:4978", + "issue:200|issue:202", + "issue:11560|issue:9410", + "issue:9031|issue:9032", + "issue:4716|issue:4747", + "issue:5628|issue:5630", + "issue:378|issue:384", + "issue:1962|issue:3902", + "issue:9038|issue:9039", + "issue:2462|issue:5947", + "issue:11519|issue:12369", + "issue:5447|issue:5628", + "issue:9047|issue:9224", + "issue:2453|issue:2838", + "issue:5932|issue:7619", + "issue:5274|issue:5425", + "issue:1962|issue:2195", + "issue:3385|issue:3427", + "issue:7972|issue:8241", + "issue:671|issue:743" + ], + "prepared_review_unit_hash": "bb11a84029ba0791139697733b5a632b694e38741037d71a6ac093274b6e36c4", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 33794, + "estimated_input_tokens": 8449, + "estimated_eval_tokens": 17154 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a mixed set of feature requests and support issues; only a few soft pairs look like true duplicates around the same concrete bug. The strongest standalone issue is the MPS/Flux failure report because it is highly active and clearly scoped.", + "confidence": 0.74, + "canonical_issue_reason": "Issue 9047 is the most active, concrete bug report in the set and has broad relevance to a real runtime failure; it is a better canonical anchor than the many narrow feature requests.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9047 has the highest discussion activity and describes a specific reproducible platform bug, making it the best representative issue here.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4445", + "right": "issue:692", + "accept": true, + "reason": "Both are requests about fine-tuning diffusion/LoRA models and ask for the same kind of training guidance." + }, + { + "left": "issue:3576", + "right": "issue:3593", + "accept": false, + "reason": "Both mention xformers, but one is textual inversion and the other is LoRA on a second pipeline call; different failure paths." + }, + { + "left": "issue:4913", + "right": "issue:6572", + "accept": false, + "reason": "Both are ControlNet-related feature requests, but they target different pipelines/models and are not the same change." + }, + { + "left": "issue:1755", + "right": "issue:4609", + "accept": false, + "reason": "Unrelated topics; generic Arabic title versus a T2I-Adapter model request." + }, + { + "left": "issue:1755", + "right": "issue:2311", + "accept": false, + "reason": "No meaningful overlap beyond both being general issues; the scheduler request is unrelated." + }, + { + "left": "issue:4922", + "right": "issue:692", + "accept": false, + "reason": "Android demo request versus fine-tuning help; different scope entirely." + }, + { + "left": "issue:4750", + "right": "issue:4978", + "accept": false, + "reason": "Both involve inpainting preprocessors, but they refer to different preprocessors and different usage scenarios." + }, + { + "left": "issue:200", + "right": "issue:202", + "accept": false, + "reason": "Different test targets in different files; not the same bug or change." + }, + { + "left": "issue:11560", + "right": "issue:9410", + "accept": false, + "reason": "Generic import error versus a specific pipeline import problem; too little evidence they are the same issue." + }, + { + "left": "issue:9031", + "right": "issue:9032", + "accept": false, + "reason": "Safety checker disablement and TPU minimum example are unrelated Flax questions." + }, + { + "left": "issue:4716", + "right": "issue:4747", + "accept": false, + "reason": "Both mention SDXL, but one is about long prompts and the other is a missing model_index.json error." + }, + { + "left": "issue:5628", + "right": "issue:5630", + "accept": false, + "reason": "Both involve LMS scheduler/SDXL img2img, but the reported symptoms and conditions differ too much to merge confidently." + }, + { + "left": "issue:378", + "right": "issue:384", + "accept": true, + "reason": "These describe the same Textual Inversion/DiagonalGaussianDistribution latent_dist AttributeError from different angles." + }, + { + "left": "issue:1962", + "right": "issue:3902", + "accept": false, + "reason": "Video generation support request versus Control-A-Video; related domain, but not the same request." + }, + { + "left": "issue:9038", + "right": "issue:9039", + "accept": false, + "reason": "Prompt weighting and LoRA loading are separate FlaxStableDiffusionPipeline feature requests." + }, + { + "left": "issue:2462", + "right": "issue:5947", + "accept": false, + "reason": "IterableDataset finetuning support and Diffusion-DPO policy discussion are unrelated." + }, + { + "left": "issue:11519", + "right": "issue:12369", + "accept": false, + "reason": "Different model support requests (MAGI-1 vs Wan 2.1 CineScale), not duplicates." + }, + { + "left": "issue:5447", + "right": "issue:5628", + "accept": false, + "reason": "Both mention denoising_start/end, but one is a 2nd-order scheduler bug and the other is an LMS/Karras offset issue; not clearly the same defect." + }, + { + "left": "issue:9047", + "right": "issue:9224", + "accept": true, + "reason": "Both point to Flux failing on MPS, and the float64-on-Metal report is a plausible concrete root cause of the broader failure." + }, + { + "left": "issue:2453", + "right": "issue:2838", + "accept": false, + "reason": "How-to-contribute question versus a ControlNet pipeline feature request; unrelated." + }, + { + "left": "issue:5932", + "right": "issue:7619", + "accept": true, + "reason": "Both report the same channel-mismatch runtime error in training scripts, just in different training entrypoints." + }, + { + "left": "issue:5274", + "right": "issue:5425", + "accept": false, + "reason": "Mixed-precision dtype error and checkpointing/accelerate compatibility are different training problems." + }, + { + "left": "issue:1962", + "right": "issue:2195", + "accept": false, + "reason": "Both are video-related feature requests, but one is general video generation and the other is Tune-A-Video; not the same change." + }, + { + "left": "issue:3385", + "right": "issue:3427", + "accept": false, + "reason": "Different JAX model-support requests; same framework, different underlying features." + }, + { + "left": "issue:7972", + "right": "issue:8241", + "accept": false, + "reason": "LEDITS++ type mismatch and model size concerns are different issues." + }, + { + "left": "issue:671", + "right": "issue:743", + "accept": false, + "reason": "Both are model-conversion topics, but one is about output non-identity and the other is a conversion failure; not the same bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: 9047 is clearly the highest-activity item, and the canonical issue framing stays conservative. The accepted soft pairs are all plausibly close without overstating certainty, especially the channel-mismatch and DiagonalGaussianDistribution pairs." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 180, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10049", + "issue:11315", + "issue:11432", + "issue:11436", + "issue:11555", + "issue:11560", + "issue:1158", + "issue:1160", + "issue:11630", + "issue:11878", + "issue:12097", + "issue:12499", + "issue:12567", + "issue:12732", + "issue:12738", + "issue:12896", + "issue:13105", + "issue:13232", + "issue:13351", + "issue:1755", + "issue:201", + "issue:2195", + "issue:2221", + "issue:2268", + "issue:2830", + "issue:2838", + "issue:2984", + "issue:338", + "issue:339", + "issue:3698", + "issue:3699", + "issue:4141", + "issue:4609", + "issue:4835", + "issue:4913", + "issue:5112", + "issue:5162", + "issue:5480", + "issue:5926", + "issue:5947", + "issue:6042", + "issue:6572", + "issue:8493", + "issue:8738", + "issue:9042", + "issue:9264", + "issue:9825" + ], + "soft_pairs": [ + "issue:3698|issue:5162", + "issue:2838|issue:5947", + "issue:1755|issue:5480", + "issue:9042|issue:9264", + "issue:11630|issue:11878", + "issue:201|issue:338", + "issue:201|issue:339", + "issue:2221|issue:2268", + "issue:10049|issue:11560", + "issue:4913|issue:5926", + "issue:13232|issue:13351", + "issue:1158|issue:1160", + "issue:9042|issue:9825", + "issue:4835|issue:5112", + "issue:6042|issue:6572", + "issue:2830|issue:4609", + "issue:3699|issue:4141", + "issue:12097|issue:12896", + "issue:12732|issue:12738", + "issue:12567|issue:13105", + "issue:11432|issue:11555", + "issue:2195|issue:2984", + "issue:12097|issue:12499", + "issue:8493|issue:8738", + "issue:11315|issue:11436" + ], + "prepared_review_unit_hash": "dbf64630bfed879016a1f71615f614ed8d64344068d235f12f4d44f89b1ab3e8", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 32795, + "estimated_input_tokens": 8199, + "estimated_eval_tokens": 16654 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose mix of unrelated pipeline/model requests and backend/dtype bugs. The soft pairs mostly share only a subsystem or model name, not the same concrete failure mode, so I would not merge any of them as duplicates.", + "confidence": 0.84, + "canonical_issue_reason": "Issue 11432 is the clearest, most generally useful bug report in the set: a specific, reproducible loading/API problem around `from_pretrained(..., torch_dtype=\"auto\")` with broad relevance to nearby loading issues.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11432 is the best anchor for the cluster because it is concrete, well-scoped, and describes an actionable framework behavior bug rather than a vague request or model-specific symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3698", + "right": "issue:5162", + "accept": false, + "reason": "Both are conversion-related, but one asks to convert an inpainting model to Diffusers while the other requests a checkpoint-to-safetensors conversion script; different goals and code paths." + }, + { + "left": "issue:2838", + "right": "issue:5947", + "accept": false, + "reason": "ControlNet pipeline behavior and Diffusion-DPO policy objective are unrelated topics; no shared bug/change." + }, + { + "left": "issue:1755", + "right": "issue:5480", + "accept": false, + "reason": "A generic discussion issue and an EDM implementation request do not describe the same underlying problem." + }, + { + "left": "issue:9042", + "right": "issue:9264", + "accept": false, + "reason": "Both mention FLUX, but one is for adding the FLUX pipeline and the other is specifically for FLUX inpainting; separate feature requests." + }, + { + "left": "issue:11630", + "right": "issue:11878", + "accept": false, + "reason": "`from_single_file` support and GGUF 1.3B failure involve different loading formats and different failure modes." + }, + { + "left": "issue:201", + "right": "issue:338", + "accept": false, + "reason": "Different test concerns: attention-class tests vs LMS discrete tests." + }, + { + "left": "issue:201", + "right": "issue:339", + "accept": false, + "reason": "Different test additions with no evidence of the same failure or fix." + }, + { + "left": "issue:2221", + "right": "issue:2268", + "accept": false, + "reason": "Both are vague ColossalAI errors, but the reports are too generic to establish the same concrete bug." + }, + { + "left": "issue:10049", + "right": "issue:11560", + "accept": false, + "reason": "`Cannot import MochiPipeline` is not the same as a generic import error; too little evidence of the same root cause." + }, + { + "left": "issue:4913", + "right": "issue:5926", + "accept": false, + "reason": "OpenPose SDXL ControlNet and Kandinsky 3.0 are unrelated model requests." + }, + { + "left": "issue:13232", + "right": "issue:13351", + "accept": false, + "reason": "LTX-2.3 support and Wan 2.2 Fun ControlNet are different model support requests." + }, + { + "left": "issue:1158", + "right": "issue:1160", + "accept": false, + "reason": "One is test interference between config tests; the other is a hang/freezing issue in a custom pipeline test." + }, + { + "left": "issue:9042", + "right": "issue:9825", + "accept": false, + "reason": "Adding FLUX pipeline support and adding IPAdapter support for FLUX are separate feature requests, not the same change." + }, + { + "left": "issue:4835", + "right": "issue:5112", + "accept": false, + "reason": "MultiControlNet handling in SDXL ControlNet Img2Img and a `torch.Size` float-type error are distinct bugs." + }, + { + "left": "issue:6042", + "right": "issue:6572", + "accept": false, + "reason": "An SDXL Turbo distillation example request is unrelated to a ControlNetXS-SDXL-Inpaint pipeline request." + }, + { + "left": "issue:2830", + "right": "issue:4609", + "accept": false, + "reason": "A question about image+text-to-video support and a T2I-Adapter model request are different topics." + }, + { + "left": "issue:3699", + "right": "issue:4141", + "accept": false, + "reason": "MPS/CUDA availability on macOS is unrelated to a ControlNet second-control behavior bug." + }, + { + "left": "issue:12097", + "right": "issue:12896", + "accept": false, + "reason": "One is a VRAM OOM at the end of generation; the other is an MPS backend failure. Different runtime problems." + }, + { + "left": "issue:12732", + "right": "issue:12738", + "accept": false, + "reason": "Both are Z-Image related, but one is a generic inference pipeline error and the other is a specific batch-size assertion failure; not enough to treat as the same bug." + }, + { + "left": "issue:12567", + "right": "issue:13105", + "accept": false, + "reason": "Noise with Ulysses Attention and WAN output noise are different models/code paths and likely different bugs." + }, + { + "left": "issue:11432", + "right": "issue:11555", + "accept": false, + "reason": "`torch_dtype=\"auto\"` loading behavior and `device_map=\"auto\"` support are different API concerns, not the same defect." + }, + { + "left": "issue:2195", + "right": "issue:2984", + "accept": false, + "reason": "These are unrelated video-model requests with no shared concrete bug or fix." + }, + { + "left": "issue:12097", + "right": "issue:12499", + "accept": false, + "reason": "VRAM OOM and condition-shape mismatch are different failure modes in WAN 2.2." + }, + { + "left": "issue:8493", + "right": "issue:8738", + "accept": false, + "reason": "Both mention SD3Transformer2DModel, but one is a state_dict loading error and the other is a configuration/setup issue; not clearly the same bug." + }, + { + "left": "issue:11315", + "right": "issue:11436", + "accept": false, + "reason": "Both are HiDream dtype/backend problems, but one is a float64 rope issue on MPS and the other is a half/bfloat16 matmul mismatch; distinct underlying errors." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 181, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10120", + "issue:1076", + "issue:10760", + "issue:11436", + "issue:11653", + "issue:11821", + "issue:11878", + "issue:12606", + "issue:1755", + "issue:1962", + "issue:2015", + "issue:2195", + "issue:2453", + "issue:2635", + "issue:321", + "issue:322", + "issue:3728", + "issue:3788", + "issue:3838", + "issue:4042", + "issue:4225", + "issue:4232", + "issue:4269", + "issue:4406", + "issue:4615", + "issue:4913", + "issue:5017", + "issue:5284", + "issue:5770", + "issue:6008", + "issue:6042", + "issue:6095", + "issue:6096", + "issue:6287", + "issue:6288", + "issue:6393", + "issue:6423", + "issue:6444", + "issue:6482", + "issue:6572", + "issue:7303", + "issue:7408", + "issue:8477", + "issue:8560", + "issue:8803", + "issue:8894", + "issue:9218", + "issue:9220" + ], + "soft_pairs": [ + "issue:4269|issue:4615", + "issue:6287|issue:8803", + "issue:11436|issue:11653", + "issue:2453|issue:5017", + "issue:10760|issue:12606", + "issue:11821|issue:11878", + "issue:10120|issue:8560", + "issue:1076|issue:321", + "issue:3728|issue:7408", + "issue:4225|issue:4406", + "issue:2015|issue:6572", + "issue:321|issue:322", + "issue:3788|issue:7408", + "issue:6444|issue:6482", + "issue:4232|issue:5284", + "issue:6008|issue:6393", + "issue:9218|issue:9220", + "issue:1755|issue:2635", + "issue:8477|issue:8894", + "issue:1962|issue:3838", + "issue:4913|issue:6042", + "issue:1755|issue:4042", + "issue:5017|issue:6423", + "issue:5017|issue:7303", + "issue:2195|issue:3838", + "issue:6095|issue:6096", + "issue:5770|issue:6288" + ], + "prepared_review_unit_hash": "beae35f301447feb057c07e6c0c8b0d34f4f02439968af0d7cc9ee42ce58f3d3", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 34210, + "estimated_input_tokens": 8553, + "estimated_eval_tokens": 17362 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly heterogeneous rather than a true duplicate cluster. I rejected all soft edges because the paired items are usually only in the same broad subsystem (or both are generic bug reports) but do not describe the same concrete bug/change.", + "confidence": 0.9, + "canonical_issue_reason": "No single canonical issue stands out: the items span unrelated features, pipelines, and import/runtime bugs, so there isn\u2019t one report that cleanly subsumes the rest.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9220 is the most concrete standalone bug report in the set: it names a specific PAG pipeline error with an explicit undefined-variable failure, making it the strongest actionable issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4269", + "right": "issue:4615", + "accept": false, + "reason": "Both are ControlNet-related import/input errors, but they hit different symbols and code paths: check_inputs TypeError vs missing StableDiffusionControlnetPipeline import." + }, + { + "left": "issue:6287", + "right": "issue:8803", + "accept": false, + "reason": "Completely unrelated: unused setup.py dependencies vs a hidden_states duplicate assignment in attention_processor.py." + }, + { + "left": "issue:11436", + "right": "issue:11653", + "accept": false, + "reason": "Same HiDream area, but different problems: a dtype mismatch at inference vs LoRA .alpha key compatibility." + }, + { + "left": "issue:2453", + "right": "issue:5017", + "accept": false, + "reason": "A contribution/help question is not the same issue as a ControlNet control-mode feature request." + }, + { + "left": "issue:10760", + "right": "issue:12606", + "accept": false, + "reason": "Both are import bugs, but for different files and failures; they do not appear to be the same broken code path." + }, + { + "left": "issue:11821", + "right": "issue:11878", + "accept": false, + "reason": "Same WanVACE family, but one is prompt-list support and the other is GGUF/1.3B model loading; different bugs." + }, + { + "left": "issue:10120", + "right": "issue:8560", + "accept": false, + "reason": "Both mention SD3 memory/oom, but one is DreamBooth+SD3 memory consumption and the other is general SD3 training OOM on a 4090; too broad to merge as one bug." + }, + { + "left": "issue:1076", + "right": "issue:321", + "accept": false, + "reason": "No underlying bug match: stable-diffusion-v1-5 discussion vs Blended Diffusion." + }, + { + "left": "issue:3728", + "right": "issue:7408", + "accept": false, + "reason": "Both are new pipeline requests, but they are distinct algorithms/features (Shifted Diffusion vs FRESCO)." + }, + { + "left": "issue:4225", + "right": "issue:4406", + "accept": false, + "reason": "Different loading failures: ControlNet state_dict mismatch vs safetensors header deserialization." + }, + { + "left": "issue:2015", + "right": "issue:6572", + "accept": false, + "reason": "Different pipeline proposals: categorical diffusion vs ControlNetXS-SDXL-Inpaint." + }, + { + "left": "issue:321", + "right": "issue:322", + "accept": false, + "reason": "Two separate research concepts with no indication of the same pipeline or fix." + }, + { + "left": "issue:3788", + "right": "issue:7408", + "accept": false, + "reason": "Both are pipeline requests, but for different models and behavior; not the same concrete change." + }, + { + "left": "issue:6444", + "right": "issue:6482", + "accept": false, + "reason": "Same training script family, but distinct failures: peft_config attribute error vs resume_from_checkpoint FP16 unscale error." + }, + { + "left": "issue:4232", + "right": "issue:5284", + "accept": false, + "reason": "Both involve ControlNet variants, but one is instruct-pix2pix training/inference code and the other is LLLite support; different changes." + }, + { + "left": "issue:6008", + "right": "issue:6393", + "accept": false, + "reason": "LCM LoRA/IP-Adapter failure is unrelated to private-model download via from_single_file." + }, + { + "left": "issue:9218", + "right": "issue:9220", + "accept": false, + "reason": "Related PAG topics, but one is a general feature/support request and the other is a specific undefined-variable bug; not the same concrete issue." + }, + { + "left": "issue:1755", + "right": "issue:2635", + "accept": false, + "reason": "No overlap in underlying bug or change: a general Arabic-titled issue vs scheduler identification." + }, + { + "left": "issue:8477", + "right": "issue:8894", + "accept": false, + "reason": "Different scripts and different runtime failures; they are not the same DDP/code-path bug." + }, + { + "left": "issue:1962", + "right": "issue:3838", + "accept": false, + "reason": "Both concern video generation, but they are different projects/pipelines (stable diffusion video vs Video Composer)." + }, + { + "left": "issue:4913", + "right": "issue:6042", + "accept": false, + "reason": "ControlNet OpenPose SDXL model discussion is unrelated to an SDXL-Turbo distillation example request." + }, + { + "left": "issue:1755", + "right": "issue:4042", + "accept": false, + "reason": "Unrelated: a generic issue vs combining reference-only with inpainting and depth control." + }, + { + "left": "issue:5017", + "right": "issue:6423", + "accept": false, + "reason": "ControlNet control-mode request and a fill50k reproduction issue are unrelated." + }, + { + "left": "issue:5017", + "right": "issue:7303", + "accept": false, + "reason": "Different topics: ControlNet control mode vs zero_snr scheduler creation." + }, + { + "left": "issue:2195", + "right": "issue:3838", + "accept": false, + "reason": "Both are about video, but they are distinct efforts and not the same pipeline or bug." + }, + { + "left": "issue:6095", + "right": "issue:6096", + "accept": false, + "reason": "Same SVD area, but different failures: scheduler indexing error vs torch.compile dynamic output shape exception." + }, + { + "left": "issue:5770", + "right": "issue:6288", + "accept": false, + "reason": "Dataset-access failure in LCM distill is unrelated to the default learning-rate complaint in LCM LoRA training." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 182, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10049", + "issue:10186", + "issue:10204", + "issue:10460", + "issue:10658", + "issue:10737", + "issue:10893", + "issue:11560", + "issue:1160", + "issue:12369", + "issue:12606", + "issue:12624", + "issue:13065", + "issue:13232", + "issue:1976", + "issue:2195", + "issue:2822", + "issue:2830", + "issue:3113", + "issue:3140", + "issue:3698", + "issue:3861", + "issue:3902", + "issue:4042", + "issue:4241", + "issue:4250", + "issue:4524", + "issue:4789", + "issue:5017", + "issue:5023", + "issue:5118", + "issue:5227", + "issue:5318", + "issue:5341", + "issue:6161", + "issue:6393", + "issue:8488", + "issue:8503", + "issue:8511", + "issue:8518", + "issue:8565", + "issue:8975", + "issue:9001", + "issue:9026", + "issue:9112", + "issue:9141", + "issue:9147" + ], + "soft_pairs": [ + "issue:3698|issue:6161", + "issue:11560|issue:8975", + "issue:12369|issue:13232", + "issue:10893|issue:13065", + "issue:10460|issue:9026", + "issue:5023|issue:9147", + "issue:9001|issue:9112", + "issue:4241|issue:5017", + "issue:5227|issue:8518", + "issue:10186|issue:10204", + "issue:8488|issue:8565", + "issue:8503|issue:8511", + "issue:3861|issue:4250", + "issue:5318|issue:5341", + "issue:1160|issue:1976", + "issue:10658|issue:12624", + "issue:4524|issue:5118", + "issue:4789|issue:6393", + "issue:3902|issue:4042", + "issue:10737|issue:9141", + "issue:10049|issue:12606", + "issue:3113|issue:3902", + "issue:2195|issue:2830", + "issue:2822|issue:3140" + ], + "prepared_review_unit_hash": "e0de1e0091d550d138fdaddde6b096cf341be588e014d9d0ef5835b9baa7432f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32869, + "estimated_input_tokens": 8218, + "estimated_eval_tokens": 16692 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly lexical noise: the items span different models, pipelines, and failure modes, so the suggested soft matches do not look like true duplicates. I would reject all soft edges and treat this as a heterogeneous set rather than a duplicate cluster.", + "confidence": 0.95, + "canonical_issue_reason": "No single issue is a clear canonical target; the items are about different bugs, feature requests, and docs/API questions.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue candidate stands out because none of the items meaningfully subsumes the others.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3698", + "right": "issue:6161", + "accept": false, + "reason": "Different problems: inpainting model conversion vs sigma-handling behavior in schedulers." + }, + { + "left": "issue:11560", + "right": "issue:8975", + "accept": false, + "reason": "Both are import errors, but they concern different missing symbols and likely different code paths." + }, + { + "left": "issue:12369", + "right": "issue:13232", + "accept": false, + "reason": "Separate model-support requests for different architectures and use cases." + }, + { + "left": "issue:10893", + "right": "issue:13065", + "accept": false, + "reason": "Both mention ControlNet, but they target different models and different feature requests." + }, + { + "left": "issue:10460", + "right": "issue:9026", + "accept": false, + "reason": "Unrelated failures: missing UNet argument vs unexpected keyword in checkpoint dispatch." + }, + { + "left": "issue:5023", + "right": "issue:9147", + "accept": false, + "reason": "Different Flux/Wuerstchen import/autopipeline issues with no concrete shared bug." + }, + { + "left": "issue:9001", + "right": "issue:9112", + "accept": false, + "reason": "Auraflow is shared, but one is about aspect ratios and the other is a tensor-shape runtime error; too weak to merge." + }, + { + "left": "issue:4241", + "right": "issue:5017", + "accept": false, + "reason": "Different feature requests: LoRA fine-tuning for unidiffusers vs ControlNet control mode." + }, + { + "left": "issue:5227", + "right": "issue:8518", + "accept": false, + "reason": "Both involve torch.compile, but the concrete failures are different and not the same code-path bug." + }, + { + "left": "issue:10186", + "right": "issue:10204", + "accept": false, + "reason": "One is a missing import, the other is a quality regression in inpainting; not the same issue." + }, + { + "left": "issue:8488", + "right": "issue:8565", + "accept": false, + "reason": "Both are SD3 pipeline problems, but different methods and failure modes (`from_pretrained` vs `load_lora_weights`)." + }, + { + "left": "issue:8503", + "right": "issue:8511", + "accept": false, + "reason": "Separate SD3 training issues: gradient checkpointing crash vs text-encoder unloading behavior." + }, + { + "left": "issue:3861", + "right": "issue:4250", + "accept": false, + "reason": "Different `from_pretrained` questions; one is about the API name/usage, the other about incorrect model loading." + }, + { + "left": "issue:5318", + "right": "issue:5341", + "accept": false, + "reason": "Related to PEFT docs, but one is tutorials and the other is example-script API updates." + }, + { + "left": "issue:1160", + "right": "issue:1976", + "accept": false, + "reason": "Completely different problems: test hang vs bad tokenizer file lookup." + }, + { + "left": "issue:10658", + "right": "issue:12624", + "accept": false, + "reason": "Unrelated requests for different libraries and different APIs." + }, + { + "left": "issue:4524", + "right": "issue:5118", + "accept": false, + "reason": "Both are feature requests around advanced generation controls, but they target different mechanisms and are not the same change." + }, + { + "left": "issue:4789", + "right": "issue:6393", + "accept": false, + "reason": "Both involve downloads, but one is a model download failure and the other is a private-link/from_single_file path issue." + }, + { + "left": "issue:3902", + "right": "issue:4042", + "accept": false, + "reason": "Different feature requests: control-a-video vs combining reference-only with inpainting/depth control." + }, + { + "left": "issue:10737", + "right": "issue:9141", + "accept": false, + "reason": "Both are Flux pipeline gaps, but one is missing image-encoder support and the other is missing `from_single_file`; not the same bug." + }, + { + "left": "issue:10049", + "right": "issue:12606", + "accept": false, + "reason": "Both are import-related, but they refer to different modules/scripts and likely different mistakes." + }, + { + "left": "issue:3113", + "right": "issue:3902", + "accept": false, + "reason": "Different research/feature requests with no shared underlying defect or implementation change." + }, + { + "left": "issue:2195", + "right": "issue:2830", + "accept": false, + "reason": "Both are video-generation questions, but they concern different models and different capabilities." + }, + { + "left": "issue:2822", + "right": "issue:3140", + "accept": false, + "reason": "Training convergence/performance vs import failure; not the same underlying problem." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 183, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10421", + "issue:10460", + "issue:10467", + "issue:10526", + "issue:10817", + "issue:10950", + "issue:11560", + "issue:11749", + "issue:12060", + "issue:12599", + "issue:12754", + "issue:13101", + "issue:1594", + "issue:1925", + "issue:2440", + "issue:272", + "issue:2737", + "issue:2830", + "issue:338", + "issue:3431", + "issue:3467", + "issue:3566", + "issue:3728", + "issue:3838", + "issue:3902", + "issue:4305", + "issue:4733", + "issue:4750", + "issue:4913", + "issue:4972", + "issue:5009", + "issue:5034", + "issue:5168", + "issue:5314", + "issue:5436", + "issue:5794", + "issue:6572", + "issue:6866", + "issue:6901", + "issue:8503", + "issue:8507", + "issue:9062", + "issue:9148", + "issue:9264", + "issue:9331", + "issue:9680", + "issue:9825" + ], + "soft_pairs": [ + "issue:12060|issue:13101", + "issue:1925|issue:2440", + "issue:1594|issue:3728", + "issue:8503|issue:8507", + "issue:10421|issue:12754", + "issue:10950|issue:9680", + "issue:10421|issue:12599", + "issue:4305|issue:5034", + "issue:9148|issue:9825", + "issue:3467|issue:4733", + "issue:5314|issue:9264", + "issue:2830|issue:3838", + "issue:11749|issue:9331", + "issue:4972|issue:5009", + "issue:11560|issue:9062", + "issue:272|issue:338", + "issue:10460|issue:6901", + "issue:1594|issue:3902", + "issue:2737|issue:6866", + "issue:4913|issue:5168", + "issue:10467|issue:10526", + "issue:4750|issue:6572", + "issue:10817|issue:8503", + "issue:5436|issue:5794", + "issue:3431|issue:3566" + ], + "prepared_review_unit_hash": "1d62c8e95499c3a58d152da7c793e1661146c9a537156157f107b9f7f3ce1b10", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 32833, + "estimated_input_tokens": 8209, + "estimated_eval_tokens": 16674 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are not true duplicates; they are related by broad subsystem or theme only. The strongest duplicate candidates are the inpainting float16/loading pair and the FlowMatchEuler scheduler timestep/indexing pair.", + "confidence": 0.65, + "canonical_issue_reason": "issue:11749 is the clearest open bug report with a concrete scheduler failure and it matches the strongest duplicate candidate in this set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11749 is the best canonical-target candidate overall: open, specific, and well-scoped to an actual code-path bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12060", + "right": "issue:13101", + "accept": false, + "reason": "One is a DiT-block availability question; the other is an unrelated vague import/Hugging Face issue. No shared bug/change." + }, + { + "left": "issue:1925", + "right": "issue:2440", + "accept": true, + "reason": "Both report float16/inpainting model loading failures on stable-diffusion-2 inpainting; same underlying precision/load bug." + }, + { + "left": "issue:1594", + "right": "issue:3728", + "accept": false, + "reason": "Both mention video generation, but one is an img2img video request and the other is a new text-to-image pipeline request." + }, + { + "left": "issue:8503", + "right": "issue:8507", + "accept": false, + "reason": "Both involve SD3 training, but one is a gradient-checkpointing crash and the other is a train_text_encoder failure; different code paths." + }, + { + "left": "issue:10421", + "right": "issue:12754", + "accept": false, + "reason": "Both concern pipeline movement/device handling, but one is a CPU memory leak and the other is a dtype conversion behavior change." + }, + { + "left": "issue:10950", + "right": "issue:9680", + "accept": false, + "reason": "Documentation breakage and SDXL unconditional generation are unrelated." + }, + { + "left": "issue:10421", + "right": "issue:12599", + "accept": false, + "reason": "Both are about moving pipelines to CUDA, but one is a memory leak across multiple GPUs and the other is slow loading-to-CUDA performance." + }, + { + "left": "issue:4305", + "right": "issue:5034", + "accept": false, + "reason": "torch.compile graph breaks and checkpoint progress-bar display issues are unrelated." + }, + { + "left": "issue:9148", + "right": "issue:9825", + "accept": false, + "reason": "Both are FLUX feature requests, but adding inpainting and adding IP-Adapter support are distinct changes." + }, + { + "left": "issue:3467", + "right": "issue:4733", + "accept": false, + "reason": "Both are resume/training problems, but they affect different scripts and failures; not the same concrete bug." + }, + { + "left": "issue:5314", + "right": "issue:9264", + "accept": false, + "reason": "ControlNet reference inpainting and FLUX inpainting are different pipeline/model requests." + }, + { + "left": "issue:2830", + "right": "issue:3838", + "accept": false, + "reason": "Both are video-related requests, but they describe different models/features and not the same underlying change." + }, + { + "left": "issue:11749", + "right": "issue:9331", + "accept": true, + "reason": "Both describe the FlowMatchEulerDiscreteScheduler timestep/indexing numerical bug; very likely the same underlying scheduler issue." + }, + { + "left": "issue:4972", + "right": "issue:5009", + "accept": false, + "reason": "Both are Wuerstchen failures, but the reports are too generic and may refer to different errors; not enough evidence to merge." + }, + { + "left": "issue:11560", + "right": "issue:9062", + "accept": false, + "reason": "A generic import error is not specific enough to match the StableAudioPipeline missing import report." + }, + { + "left": "issue:272", + "right": "issue:338", + "accept": false, + "reason": "A feature request for K-LMS in inpainting and a test task for LMS Discrete are not the same bug/change." + }, + { + "left": "issue:10460", + "right": "issue:6901", + "accept": false, + "reason": "Different APIs and problems: missing UNet2DModel argument vs missing FlaxDDIMScheduler method implementation." + }, + { + "left": "issue:1594", + "right": "issue:3902", + "accept": false, + "reason": "Both touch video generation, but one is an img2img video request and the other is a control-a-video feature request." + }, + { + "left": "issue:2737", + "right": "issue:6866", + "accept": false, + "reason": "Completely different features: DPMSolver CLIP guidance vs IP-Adapter support for SDXL ControlNet inpaint." + }, + { + "left": "issue:4913", + "right": "issue:5168", + "accept": false, + "reason": "Both mention ControlNet/SDXL, but one is a specific OpenPose model and the other is a broader ControlNet-XS support request." + }, + { + "left": "issue:10467", + "right": "issue:10526", + "accept": false, + "reason": "Both are FLUX FP8-related, but one is a build/example-code artifact and the other is an optimum.quanto runtime type error." + }, + { + "left": "issue:4750", + "right": "issue:6572", + "accept": false, + "reason": "Both involve inpainting, but they are different pipeline requests and model families." + }, + { + "left": "issue:10817", + "right": "issue:8503", + "accept": false, + "reason": "SD3 control-net auto-pipeline support and an SD3 gradient-checkpointing crash are different issues." + }, + { + "left": "issue:5436", + "right": "issue:5794", + "accept": false, + "reason": "A training example error and a missing tokenizer/config file on SDXL are unrelated." + }, + { + "left": "issue:3431", + "right": "issue:3566", + "accept": false, + "reason": "Both are ControlNet quality complaints, but they involve different pipelines and failure modes; not clearly the same bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The conclusions are grounded in the packet and the conservative calls are reasonable. The two accepted pairs both have clear title-level overlap on the same bug class (float16 inpainting load failure; FlowMatchEuler scheduler timestep/indexing error), while the rejected pairs are kept appropriately narrow rather than over-merged. The summary also stays within the evidence provided." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 184, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10460", + "issue:10472", + "issue:10817", + "issue:10950", + "issue:11315", + "issue:11653", + "issue:12221", + "issue:12239", + "issue:1261", + "issue:13351", + "issue:2163", + "issue:2213", + "issue:2444", + "issue:2466", + "issue:2618", + "issue:2822", + "issue:2985", + "issue:321", + "issue:3451", + "issue:3958", + "issue:4063", + "issue:4376", + "issue:4611", + "issue:4779", + "issue:4885", + "issue:4888", + "issue:5054", + "issue:5075", + "issue:5109", + "issue:5205", + "issue:5258", + "issue:5317", + "issue:5318", + "issue:5320", + "issue:5339", + "issue:5395", + "issue:5824", + "issue:5926", + "issue:6681", + "issue:6688", + "issue:7178", + "issue:775", + "issue:8507", + "issue:9045", + "issue:9303", + "issue:938", + "issue:9825", + "issue:993" + ], + "soft_pairs": [ + "issue:5318|issue:5320", + "issue:4611|issue:4779", + "issue:6681|issue:7178", + "issue:12221|issue:13351", + "issue:2163|issue:2466", + "issue:6688|issue:9303", + "issue:5075|issue:5258", + "issue:2213|issue:3451", + "issue:10817|issue:8507", + "issue:2985|issue:5926", + "issue:10950|issue:9045", + "issue:5054|issue:5824", + "issue:4885|issue:5109", + "issue:4063|issue:5205", + "issue:4888|issue:5339", + "issue:775|issue:993", + "issue:321|issue:938", + "issue:11315|issue:11653", + "issue:12221|issue:9825", + "issue:10460|issue:10472", + "issue:12239|issue:9825", + "issue:4376|issue:5824", + "issue:2618|issue:2822", + "issue:3958|issue:5395", + "issue:1261|issue:2444", + "issue:5317|issue:5318" + ], + "prepared_review_unit_hash": "8adc4cd38720d429438ae5024ea05396331dcf95f8aaad3edbc7a3b87106d659", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34177, + "estimated_input_tokens": 8545, + "estimated_eval_tokens": 17346 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is heterogeneous, and although several items are topically similar, none of the soft pairs are clearly mergeable from the provided evidence. No pair stands out as a confident duplicate based on titles/body alone.", + "confidence": 0.88, + "canonical_issue_reason": "No single canonical issue for the whole set: the reports span unrelated bugs and feature requests. If one representative must be chosen, issue 5109 is the most concrete and actionable bug report.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 5109 is the strongest representative because it names a specific pipeline and a concrete failure in the LoRA-loading path.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5318", + "right": "issue:5320", + "accept": false, + "reason": "Both are PEFT-related, but one asks for tutorials/docs and the other requests an API feature; not the same underlying defect or change." + }, + { + "left": "issue:4611", + "right": "issue:4779", + "accept": false, + "reason": "Both mention video/modelscope, but they are separate model/pipeline requests rather than one shared bug or mergeable change." + }, + { + "left": "issue:6681", + "right": "issue:7178", + "accept": false, + "reason": "Both involve export_to_video, but the provided text does not show the same concrete failure path; the evidence is too thin to merge them confidently." + }, + { + "left": "issue:12221", + "right": "issue:13351", + "accept": false, + "reason": "Both are controlnet support requests, but for different model families and different requested integrations." + }, + { + "left": "issue:2163", + "right": "issue:2466", + "accept": false, + "reason": "UNet dtype mismatch during training is unrelated to checkpoint retention behavior; different bugs." + }, + { + "left": "issue:6688", + "right": "issue:9303", + "accept": false, + "reason": "Different feature requests in different video-model areas; no shared underlying bug or code path is evident." + }, + { + "left": "issue:5075", + "right": "issue:5258", + "accept": false, + "reason": "Both touch SDXL refiner, but one is a shape-mismatch runtime bug and the other is an integration request; not the same issue." + }, + { + "left": "issue:2213", + "right": "issue:3451", + "accept": false, + "reason": "TPU distributed hang and fp16 memory regression are distinct failures with no clear common code-path cause." + }, + { + "left": "issue:10817", + "right": "issue:8507", + "accept": false, + "reason": "ControlNet support for SD3 and SD3 text-encoder training failure are different problem statements and likely different fixes." + }, + { + "left": "issue:2985", + "right": "issue:5926", + "accept": false, + "reason": "Different Kandinsky versions/features; not the same bug or change." + }, + { + "left": "issue:10950", + "right": "issue:9045", + "accept": false, + "reason": "Doc breakage and CUDA/accelerate-peft device conversion failure are unrelated." + }, + { + "left": "issue:5054", + "right": "issue:5824", + "accept": false, + "reason": "Both are SDXL-related, but they describe different concrete bugs: missing offload-hook attribute versus a bad add_time_ids default." + }, + { + "left": "issue:4885", + "right": "issue:5109", + "accept": false, + "reason": "Both mention LoRA loading in SDXL ControlNet img2img, but the available evidence does not prove the same concrete code-path failure." + }, + { + "left": "issue:4063", + "right": "issue:5205", + "accept": false, + "reason": "Textual inversion unloading is not the same as a repaint+ControlNet+LoRA feature request." + }, + { + "left": "issue:4888", + "right": "issue:5339", + "accept": false, + "reason": "Both concern safetensors loading, but one is offline loading and the other is a local-file complaint; too broad to treat as duplicates." + }, + { + "left": "issue:775", + "right": "issue:993", + "accept": false, + "reason": "Both mention fp16/dtype issues, but the reports are too generic to confirm one shared underlying bug from the provided evidence." + }, + { + "left": "issue:321", + "right": "issue:938", + "accept": false, + "reason": "Completely different model domains and requests." + }, + { + "left": "issue:11315", + "right": "issue:11653", + "accept": false, + "reason": "HiDream float64/MPS behavior and support for .alpha LoRA keys are different code paths and fixes." + }, + { + "left": "issue:12221", + "right": "issue:9825", + "accept": false, + "reason": "Both are feature requests, but for different pipeline/model families and different integrations." + }, + { + "left": "issue:10460", + "right": "issue:10472", + "accept": false, + "reason": "Missing documented constructor arg and unexpected lora_bias keyword error are different bug reports." + }, + { + "left": "issue:12239", + "right": "issue:9825", + "accept": false, + "reason": "InfiniteTalk support and FLUX IPAdapter support are separate feature requests, not duplicates." + }, + { + "left": "issue:4376", + "right": "issue:5824", + "accept": false, + "reason": "Both are SDXL-related, but one is a textual inversion crash and the other is a default-value issue in get_add_time_ids." + }, + { + "left": "issue:2618", + "right": "issue:2822", + "accept": false, + "reason": "Image-input support and slow convergence are different concerns without a shared defect." + }, + { + "left": "issue:3958", + "right": "issue:5395", + "accept": false, + "reason": "Both involve LoRA/Civitai, but cpu_offload interaction and LoRA-combination bugs are distinct." + }, + { + "left": "issue:1261", + "right": "issue:2444", + "accept": false, + "reason": "CUDA xformers backward assert and dreambooth inpaint script failure are unrelated issues." + }, + { + "left": "issue:5317", + "right": "issue:5318", + "accept": false, + "reason": "API documentation and tutorials are separate documentation tasks, not one bug or mergeable change." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The overall framing is mostly grounded, but the soft-edge verdicts overstate the evidence: the packet marks every listed soft pair as deterministic_accept=false, yet the analyst accepted 6681/7178, 4885/5109, and 775/993 as true duplicates. That is not conservative enough for this packet, so the result should be rejected. The summary should say that no pair is clearly mergeable based on the provided evidence." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 185, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10658", + "issue:1083", + "issue:10873", + "issue:10897", + "issue:1117", + "issue:11561", + "issue:12338", + "issue:12412", + "issue:1255", + "issue:13477", + "issue:1363", + "issue:1375", + "issue:1407", + "issue:1463", + "issue:1594", + "issue:1755", + "issue:1919", + "issue:1961", + "issue:2377", + "issue:2722", + "issue:2775", + "issue:2904", + "issue:3565", + "issue:3623", + "issue:3788", + "issue:460", + "issue:4789", + "issue:4912", + "issue:5008", + "issue:5480", + "issue:579", + "issue:5835", + "issue:6161", + "issue:6234", + "issue:6243", + "issue:7012", + "issue:7191", + "issue:7243", + "issue:7380", + "issue:7390", + "issue:7490", + "issue:7793", + "issue:8359", + "issue:8803", + "issue:9450", + "issue:9610", + "issue:9825", + "issue:989" + ], + "soft_pairs": [ + "issue:1755|issue:5008", + "issue:12338|issue:13477", + "issue:7390|issue:8359", + "issue:11561|issue:9825", + "issue:1594|issue:3788", + "issue:1255|issue:1375", + "issue:1363|issue:1407", + "issue:4789|issue:7793", + "issue:2904|issue:5835", + "issue:1463|issue:1919", + "issue:10658|issue:9610", + "issue:1083|issue:460", + "issue:10873|issue:9450", + "issue:1117|issue:2377", + "issue:5008|issue:5480", + "issue:5480|issue:7380", + "issue:6234|issue:8803", + "issue:6243|issue:7243", + "issue:7191|issue:7490", + "issue:3565|issue:7012", + "issue:1961|issue:579", + "issue:2775|issue:989", + "issue:4912|issue:6161", + "issue:2722|issue:3623", + "issue:12412|issue:9825", + "issue:10897|issue:9825" + ], + "prepared_review_unit_hash": "7511e79ccc80649fa884e649fbbb819b0ec3ff00848ad2a211654218bf4c5de9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 33959, + "estimated_input_tokens": 8490, + "estimated_eval_tokens": 17236 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated issues that only share surface-level terms. I found two plausible duplicate pairs: the `from_single_file`/custom-checkpoint loading reports, and the missing `datasets` dependency reports. Everything else should stay separate.", + "confidence": 0.79, + "canonical_issue_reason": "issue:8359 is the broadest concrete report of the shared `from_single_file` / custom-checkpoint loading failure, so it is the best issue anchor for that duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8359 is the best overall issue representative because it states the general code-path failure rather than a narrow symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1755", + "right": "issue:5008", + "accept": false, + "reason": "No real overlap: one is a vague/non-English issue, the other is a new pipeline implementation request." + }, + { + "left": "issue:12338", + "right": "issue:13477", + "accept": false, + "reason": "Different bugs in different pipelines; only a superficial resemblance in being runtime errors." + }, + { + "left": "issue:7390", + "right": "issue:8359", + "accept": true, + "reason": "Both describe failures around `from_single_file` loading custom checkpoints; 7390 looks like a specific pipeline symptom of the broader bug in 8359." + }, + { + "left": "issue:11561", + "right": "issue:9825", + "accept": false, + "reason": "Same broad feature area (IP-Adapter/FLUX) but different pipelines and not clearly the same concrete change." + }, + { + "left": "issue:1594", + "right": "issue:3788", + "accept": false, + "reason": "Different requested features: video img2img versus a controllable-generation pipeline." + }, + { + "left": "issue:1255", + "right": "issue:1375", + "accept": false, + "reason": "Both mention import problems, but one is a specific missing symbol and the other is a broader broken-import report; not enough to call the same bug." + }, + { + "left": "issue:1363", + "right": "issue:1407", + "accept": false, + "reason": "Unrelated failures: LMS scheduler error in a community pipeline versus an ONNX `feature_extractor` ValueError." + }, + { + "left": "issue:4789", + "right": "issue:7793", + "accept": false, + "reason": "Different code paths entirely: model download failure versus LoRA unload error." + }, + { + "left": "issue:2904", + "right": "issue:5835", + "accept": false, + "reason": "AudioLDM scheduler initialization failure is not the same as using a pretrained MusicLDM pipeline." + }, + { + "left": "issue:1463", + "right": "issue:1919", + "accept": true, + "reason": "Both point to the same underlying missing-`datasets` dependency problem; one is the generic import error, the other names the missing requirement explicitly." + }, + { + "left": "issue:10658", + "right": "issue:9610", + "accept": false, + "reason": "Provider options in onnxruntime and adding `load_lora_weights` are unrelated changes." + }, + { + "left": "issue:1083", + "right": "issue:460", + "accept": false, + "reason": "FP16 output correctness and CPU-vs-CUDA onnxruntime selection are different bugs." + }, + { + "left": "issue:10873", + "right": "issue:9450", + "accept": false, + "reason": "Different pipelines and failure modes; no shared concrete bug." + }, + { + "left": "issue:1117", + "right": "issue:2377", + "accept": false, + "reason": "Both are test-related, but for unrelated components and behaviors." + }, + { + "left": "issue:5008", + "right": "issue:5480", + "accept": false, + "reason": "Both are feature requests for different diffusion methods/models, not the same change." + }, + { + "left": "issue:5480", + "right": "issue:7380", + "accept": false, + "reason": "Different algorithm requests: EDM implementation versus one-step diffusion with distribution matching distillation." + }, + { + "left": "issue:6234", + "right": "issue:8803", + "accept": false, + "reason": "A training script issue and a duplicate assignment in attention code are unrelated." + }, + { + "left": "issue:6243", + "right": "issue:7243", + "accept": false, + "reason": "Both involve adapter-style features, but they target different adapter systems and code paths." + }, + { + "left": "issue:7191", + "right": "issue:7490", + "accept": false, + "reason": "Import trouble versus a backward-pass problem; no same root cause." + }, + { + "left": "issue:3565", + "right": "issue:7012", + "accept": false, + "reason": "Training OOM and weird `v_prediction` outputs are distinct issues." + }, + { + "left": "issue:1961", + "right": "issue:579", + "accept": false, + "reason": "ColossalAI integration error and missing `config.json` are unrelated." + }, + { + "left": "issue:2775", + "right": "issue:989", + "accept": false, + "reason": "Different runtime errors in different subsystems." + }, + { + "left": "issue:4912", + "right": "issue:6161", + "accept": false, + "reason": "Checkpoint conversion support and sigma-scheduling behavior are not the same bug." + }, + { + "left": "issue:2722", + "right": "issue:3623", + "accept": false, + "reason": "Different symptoms and likely different root causes: conversion mismatch versus model-loading limits." + }, + { + "left": "issue:12412", + "right": "issue:9825", + "accept": false, + "reason": "Both are FLUX-related support requests, but they are about different model families and adapters, so they should not be merged." + }, + { + "left": "issue:10897", + "right": "issue:9825", + "accept": false, + "reason": "Support requests for different models/features; not the same underlying change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The two accepted duplicate pairs are well-supported: `issue:7390`/`issue:8359` share the same `from_single_file` custom-checkpoint loading failure, and `issue:1463`/`issue:1919` both concern the missing `datasets` dependency. The remaining pairs are reasonably rejected as only superficially similar, and there is no overstatement that would require rejection." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 186, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:10883", + "issue:10891", + "issue:11117", + "issue:11519", + "issue:1156", + "issue:12239", + "issue:1594", + "issue:1633", + "issue:2195", + "issue:222", + "issue:2673", + "issue:2676", + "issue:2737", + "issue:2799", + "issue:3178", + "issue:3221", + "issue:3537", + "issue:3728", + "issue:3817", + "issue:4232", + "issue:4250", + "issue:4524", + "issue:4702", + "issue:4837", + "issue:4969", + "issue:5034", + "issue:5168", + "issue:541", + "issue:5757", + "issue:5998", + "issue:6008", + "issue:6016", + "issue:6136", + "issue:7146", + "issue:7322", + "issue:7350", + "issue:7417", + "issue:8488", + "issue:8604", + "issue:8837", + "issue:8994", + "issue:9101", + "issue:9223", + "issue:9248", + "issue:9680", + "issue:9732" + ], + "soft_pairs": [ + "issue:4837|issue:6016", + "issue:10883|issue:11519", + "issue:1594|issue:2195", + "issue:7146|issue:9732", + "issue:2676|issue:4524", + "issue:8994|issue:9680", + "issue:10891|issue:11117", + "issue:4702|issue:9101", + "issue:6136|issue:7417", + "issue:5757|issue:7322", + "issue:11117|issue:8488", + "issue:8604|issue:8837", + "issue:1156|issue:222", + "issue:3537|issue:541", + "issue:3221|issue:7350", + "issue:3178|issue:5998", + "issue:4250|issue:5034", + "issue:3728|issue:3817", + "issue:4969|issue:9248", + "issue:10100|issue:12239", + "issue:2673|issue:2799", + "issue:4232|issue:5168", + "issue:6008|issue:9223", + "issue:1633|issue:2737" + ], + "prepared_review_unit_hash": "70434f8475edcfa987cfb60f17ee1e8908c653afa1d46f4874cda923f57a9f88", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32939, + "estimated_input_tokens": 8235, + "estimated_eval_tokens": 16726 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a grab-bag of unrelated feature requests and bugs. Only one soft pair looks plausibly like the same underlying defect; the rest share broad subsystems or vague symptoms but not the same concrete code-path problem.", + "confidence": 0.76, + "canonical_issue_reason": "No single canonical issue cleanly represents the whole set; the items are heterogeneous, with only a few weakly related pairs.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11117 is the clearest, most concrete bug report in the set: it names the exact runtime type-mismatch (`c10::Half != c10::BFloat16`) and the affected pipeline, making it the best anchor among the near-duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4837", + "right": "issue:6016", + "accept": false, + "reason": "Both involve conversion tooling, but the reported failures are different and there is no clear shared root cause." + }, + { + "left": "issue:10883", + "right": "issue:11519", + "accept": false, + "reason": "These are separate model support requests (Marigold vs MAGI-1), not the same change." + }, + { + "left": "issue:1594", + "right": "issue:2195", + "accept": false, + "reason": "Both mention video generation, but they target different features/models and do not describe the same bug." + }, + { + "left": "issue:7146", + "right": "issue:9732", + "accept": false, + "reason": "Both are OOM reports, but for different training scripts, models, and setups." + }, + { + "left": "issue:2676", + "right": "issue:4524", + "accept": false, + "reason": "Scheduler support questions and AnimateDiff support are unrelated requests." + }, + { + "left": "issue:8994", + "right": "issue:9680", + "accept": false, + "reason": "Both are generation problems, but one is stuck steps and the other is an SDXL unconditional-generation issue; too different to treat as one bug." + }, + { + "left": "issue:10891", + "right": "issue:11117", + "accept": true, + "reason": "Both point to the same bfloat16/half type-conversion mismatch, likely the same underlying precision bug." + }, + { + "left": "issue:4702", + "right": "issue:9101", + "accept": false, + "reason": "Different training scripts for different purposes; no shared concrete failure mode." + }, + { + "left": "issue:6136", + "right": "issue:7417", + "accept": false, + "reason": "Both mention NaNs on Mac, but one is inference and the other is a test failure; root cause is not established as the same." + }, + { + "left": "issue:5757", + "right": "issue:7322", + "accept": false, + "reason": "Checkpoint-resume errors and SIGKILL during training are not the same bug." + }, + { + "left": "issue:11117", + "right": "issue:8488", + "accept": false, + "reason": "Both involve StableDiffusion3Pipeline, but one is a dtype-mismatch runtime error and the other is a from_pretrained exception; not the same concrete defect." + }, + { + "left": "issue:8604", + "right": "issue:8837", + "accept": false, + "reason": "Different symptoms in different code paths; no evidence they share one root cause." + }, + { + "left": "issue:1156", + "right": "issue:222", + "accept": false, + "reason": "Both are generic training failures, but the reports are too vague and distinct to merge." + }, + { + "left": "issue:3537", + "right": "issue:541", + "accept": false, + "reason": "A conversion script request and a SageMaker issue are unrelated." + }, + { + "left": "issue:3221", + "right": "issue:7350", + "accept": false, + "reason": "Both touch LoRA/ControlNet areas, but they describe different operations and failures." + }, + { + "left": "issue:3178", + "right": "issue:5998", + "accept": false, + "reason": "Same pipeline family, but the generic bug report and the specific TyperError are not clearly the same underlying issue." + }, + { + "left": "issue:4250", + "right": "issue:5034", + "accept": false, + "reason": "Model loading and progress-bar display are unrelated problems." + }, + { + "left": "issue:3728", + "right": "issue:3817", + "accept": false, + "reason": "Different model/pipeline requests with no shared bug or change." + }, + { + "left": "issue:4969", + "right": "issue:9248", + "accept": false, + "reason": "An import error and an install command request are not the same issue." + }, + { + "left": "issue:10100", + "right": "issue:12239", + "accept": false, + "reason": "Separate support requests for different models (ConsisID vs InfiniteTalk)." + }, + { + "left": "issue:2673", + "right": "issue:2799", + "accept": false, + "reason": "Both involve pipeline/model mismatch themes, but the concrete failures differ and do not clearly share one code path." + }, + { + "left": "issue:4232", + "right": "issue:5168", + "accept": false, + "reason": "Instruct-pix2pix training/inference support and ControlNet-XS support are distinct feature requests." + }, + { + "left": "issue:6008", + "right": "issue:9223", + "accept": false, + "reason": "A model/adapter failure and a dependency version conflict are unrelated." + }, + { + "left": "issue:1633", + "right": "issue:2737", + "accept": false, + "reason": "Both are scheduler-related enhancement requests, but they target different schedulers and features." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and conservative overall. The summary matches the packet\u2019s mostly heterogeneous set, and the lone accepted soft pair (10891/11117) is a plausible shared bfloat16/half precision mismatch without overstating certainty. The other soft-edge rejections are cautious and well-supported by the titles/body context." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 187, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10150", + "issue:10737", + "issue:10795", + "issue:11374", + "issue:11642", + "issue:1188", + "issue:12599", + "issue:1263", + "issue:12695", + "issue:12728", + "issue:12754", + "issue:1305", + "issue:13279", + "issue:1375", + "issue:3043", + "issue:3171", + "issue:3325", + "issue:3630", + "issue:3725", + "issue:4063", + "issue:4213", + "issue:4232", + "issue:4302", + "issue:4390", + "issue:4450", + "issue:4480", + "issue:4496", + "issue:457", + "issue:4598", + "issue:4747", + "issue:4849", + "issue:4912", + "issue:4978", + "issue:541", + "issue:7569", + "issue:760", + "issue:761", + "issue:7646", + "issue:8435", + "issue:9063", + "issue:911", + "issue:9161", + "issue:9450", + "issue:9539", + "issue:9861", + "issue:9895", + "issue:9936" + ], + "soft_pairs": [ + "issue:761|issue:911", + "issue:11374|issue:12695", + "issue:3171|issue:4496", + "issue:4450|issue:4849", + "issue:4232|issue:4978", + "issue:12599|issue:13279", + "issue:4912|issue:541", + "issue:10795|issue:12728", + "issue:10737|issue:9063", + "issue:10150|issue:12754", + "issue:1305|issue:4063", + "issue:1263|issue:1375", + "issue:3725|issue:4302", + "issue:1188|issue:3043", + "issue:4480|issue:7569", + "issue:4213|issue:8435", + "issue:3325|issue:7646", + "issue:457|issue:760", + "issue:11642|issue:9861", + "issue:9161|issue:9936", + "issue:10737|issue:9450", + "issue:4390|issue:4598", + "issue:9539|issue:9895", + "issue:3630|issue:4747" + ], + "prepared_review_unit_hash": "8b10405744a2f97bcb91a4b8bc9aeef1109c804ab43c22baed8668074f5d54fe", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33143, + "estimated_input_tokens": 8286, + "estimated_eval_tokens": 16828 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is noisy: the items mostly share broad diffusers/model/pipeline vocabulary but describe different bugs, feature requests, or training/runtime failures. I would reject all soft edges; there is no clear duplicate pair. No PRs are present. Issue 10150 is the closest representative of the only recurring theme (slow loading/inference).", + "confidence": 0.86, + "canonical_issue_reason": "Issue 10150 is the broadest and most central match to the only obvious theme in the set: pipeline loading/inference performance.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10150 best represents the cluster because its title directly matches the shared performance/loading theme, unlike the other items which are mostly unrelated feature requests or distinct errors.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:761", + "right": "issue:911", + "accept": false, + "reason": "Both are DreamBooth-related, but they describe different bugs: 8-bit Adam training failure vs a bad config regression." + }, + { + "left": "issue:11374", + "right": "issue:12695", + "accept": false, + "reason": "Both are feature requests for different model families; they are not the same support request." + }, + { + "left": "issue:3171", + "right": "issue:4496", + "accept": false, + "reason": "Different prompt-handling features with different behavior; no evidence of the same underlying bug/change." + }, + { + "left": "issue:4450", + "right": "issue:4849", + "accept": false, + "reason": "One is a textual inversion example failure, the other is a multi-GPU training question." + }, + { + "left": "issue:4232", + "right": "issue:4978", + "accept": false, + "reason": "Different controlnet/inpaint preprocessing topics; not the same concrete issue." + }, + { + "left": "issue:12599", + "right": "issue:13279", + "accept": false, + "reason": "A CUDA migration slowdown is unrelated to an AutoencoderRAE loading compatibility error." + }, + { + "left": "issue:4912", + "right": "issue:541", + "accept": false, + "reason": "SDXL checkpoint conversion and SageMaker deployment are unrelated topics." + }, + { + "left": "issue:10795", + "right": "issue:12728", + "accept": false, + "reason": "Different compile-time failures on different models/code paths; too broad to be duplicates." + }, + { + "left": "issue:10737", + "right": "issue:9063", + "accept": false, + "reason": "Missing image_encoder in Flux encode_image is a different bug from tokenizer instantiation failure." + }, + { + "left": "issue:10150", + "right": "issue:12754", + "accept": false, + "reason": "Slow SDXL loading/inference is not the same as from_pipe changing dtype to float32." + }, + { + "left": "issue:1305", + "right": "issue:4063", + "accept": false, + "reason": "Direct inversion editing and unloading a textual inversion checkpoint are unrelated." + }, + { + "left": "issue:1263", + "right": "issue:1375", + "accept": false, + "reason": "An import error for StableDiffusionSafetyChecker is not clearly the same as a broader import regression from PR #1365." + }, + { + "left": "issue:3725", + "right": "issue:4302", + "accept": false, + "reason": "Both mention LoRA, but one is an A1111 support failure and the other is a specific SDXL LoRA loading problem." + }, + { + "left": "issue:1188", + "right": "issue:3043", + "accept": false, + "reason": "Separate feature requests for different pipelines." + }, + { + "left": "issue:4480", + "right": "issue:7569", + "accept": false, + "reason": "Both are Mac-related, but one is an MPS crash during generation and the other is a failing FreeU test." + }, + { + "left": "issue:4213", + "right": "issue:8435", + "accept": false, + "reason": "Both involve from_single_file, but one is an accelerate dependency issue and the other is a generic runtime error." + }, + { + "left": "issue:3325", + "right": "issue:7646", + "accept": false, + "reason": "Different training scripts and different failure modes; not the same bug." + }, + { + "left": "issue:457", + "right": "issue:760", + "accept": false, + "reason": "Both are MPS artifacts/incorrect output reports, but the symptoms and version context are distinct." + }, + { + "left": "issue:11642", + "right": "issue:9861", + "accept": false, + "reason": "A no-op scaling parameter in FluxPriorReduxPipeline is unrelated to Flux training not updating the transformer." + }, + { + "left": "issue:9161", + "right": "issue:9936", + "accept": false, + "reason": "Both are distributed Flux training problems, but one is a script-specific bug report and the other is an NCCL timeout; too different to merge." + }, + { + "left": "issue:10737", + "right": "issue:9450", + "accept": false, + "reason": "Missing image_encoder in encoding is unrelated to a multi-GPU device placement mismatch." + }, + { + "left": "issue:4390", + "right": "issue:4598", + "accept": false, + "reason": "Missing requirements and error-message quality for missing dependencies are different issues." + }, + { + "left": "issue:9539", + "right": "issue:9895", + "accept": false, + "reason": "A Float8 CUDA index_select limitation is unrelated to a FluxPipeline device mismatch regression." + }, + { + "left": "issue:3630", + "right": "issue:4747", + "accept": false, + "reason": "An unknown UNet2DModel error is not the same as a missing model_index.json after loading SDXL LoRA." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 188, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1076", + "issue:1082", + "issue:10952", + "issue:11050", + "issue:11133", + "issue:11182", + "issue:12052", + "issue:13034", + "issue:13488", + "issue:1367", + "issue:1608", + "issue:200", + "issue:2195", + "issue:2439", + "issue:2579", + "issue:2722", + "issue:2843", + "issue:3094", + "issue:3103", + "issue:3171", + "issue:322", + "issue:3348", + "issue:3406", + "issue:3451", + "issue:3624", + "issue:3944", + "issue:4186", + "issue:4232", + "issue:4269", + "issue:4445", + "issue:4949", + "issue:5002", + "issue:5118", + "issue:5258", + "issue:5605", + "issue:6141", + "issue:6901", + "issue:743", + "issue:7646", + "issue:8507", + "issue:8511", + "issue:8780", + "issue:8939", + "issue:9025", + "issue:9039", + "issue:9063", + "issue:9142", + "issue:938" + ], + "soft_pairs": [ + "issue:10952|issue:9142", + "issue:1082|issue:1608", + "issue:2722|issue:743", + "issue:4186|issue:5258", + "issue:4232|issue:5118", + "issue:2195|issue:4949", + "issue:2439|issue:3103", + "issue:11050|issue:11182", + "issue:9025|issue:9039", + "issue:2579|issue:3348", + "issue:8507|issue:8511", + "issue:3171|issue:6141", + "issue:4445|issue:8780", + "issue:11133|issue:13034", + "issue:1076|issue:322", + "issue:12052|issue:13488", + "issue:3094|issue:7646", + "issue:5002|issue:6901", + "issue:1367|issue:2843", + "issue:200|issue:3406", + "issue:322|issue:938", + "issue:8939|issue:9063", + "issue:3451|issue:7646", + "issue:3624|issue:4269", + "issue:3944|issue:5605" + ], + "prepared_review_unit_hash": "302e7637421e3eab772f148b08af03d8b6af1703eead732abc76ef6ea1113a1d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34163, + "estimated_input_tokens": 8541, + "estimated_eval_tokens": 17338 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are largely unrelated despite superficial title similarity. The only plausible duplicate-style match is the Wan/offloading regression pair; the rest differ in model, pipeline, or bug symptom and should stay separate.", + "confidence": 0.33, + "canonical_issue_reason": "issue:13488 is the broad umbrella report for the offloading regression and best captures the underlying problem surface.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12052 is the most concrete reproduction of the offloading/device-mismatch failure, making it the most actionable issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10952", + "right": "issue:9142", + "accept": false, + "reason": "Different bugs: LoRA adapter-name validation versus Hunyuan DiT multi-controlnet attribute handling." + }, + { + "left": "issue:1082", + "right": "issue:1608", + "accept": false, + "reason": "Both are training failures, but one is a CUDA matmul crash and the other is a stop at 500 steps with different context." + }, + { + "left": "issue:2722", + "right": "issue:743", + "accept": false, + "reason": "Both involve conversion, but one is a ControlNet UNet mismatch after conversion and the other is a generic ckpt-to-diffusers conversion failure." + }, + { + "left": "issue:4186", + "right": "issue:5258", + "accept": false, + "reason": "Both mention refiner/inpaint, but one is SDXL inpaint not working and the other is SDXL ControlNet inpaint with refiner; not the same code path." + }, + { + "left": "issue:4232", + "right": "issue:5118", + "accept": false, + "reason": "Different features: instruct-pix2pix training/inference with controlnet versus reference_only usage guidance." + }, + { + "left": "issue:2195", + "right": "issue:4949", + "accept": false, + "reason": "Different video models and tasks: Tune-A-Video versus ProPainter in/outpainting." + }, + { + "left": "issue:2439", + "right": "issue:3103", + "accept": false, + "reason": "One is loading/running inpainting pipeline; the other is about inpainting height/width parameters." + }, + { + "left": "issue:11050", + "right": "issue:11182", + "accept": false, + "reason": "Different problems: dtype casting in SD3 ControlNet training versus unnecessary BF16 variant download." + }, + { + "left": "issue:9025", + "right": "issue:9039", + "accept": false, + "reason": "Both are Flax pipeline questions, but from_single_file TPU VM support and load_lora_weights are separate APIs." + }, + { + "left": "issue:2579", + "right": "issue:3348", + "accept": false, + "reason": "xFormers is the shared area, but one is a generic bug/misuse report and the other is a LoRA scale-feature request." + }, + { + "left": "issue:8507", + "right": "issue:8511", + "accept": false, + "reason": "Both concern SD3 training scripts, but one is train_text_encoder failure and the other is text-encoder unloading behavior; different root issues." + }, + { + "left": "issue:3171", + "right": "issue:6141", + "accept": false, + "reason": "LPW prompt support for ControlNet and control_mode/resize_mode support are distinct feature requests." + }, + { + "left": "issue:4445", + "right": "issue:8780", + "accept": false, + "reason": "A how-to question about LoRA finetuning is not the same as a model/input dtype mismatch bug." + }, + { + "left": "issue:11133", + "right": "issue:13034", + "accept": false, + "reason": "Different pipelines and symptoms: CogVideoX image-to-video bug versus WanPipeline height/width handling." + }, + { + "left": "issue:1076", + "right": "issue:322", + "accept": false, + "reason": "Completely unrelated topics: stable-diffusion-v1-5 discussion versus V-Diffusion model mention." + }, + { + "left": "issue:12052", + "right": "issue:13488", + "accept": true, + "reason": "Both describe offloading breakage leading to device-mismatch failures; 12052 is a concrete Wan 2.2 reproduction of the broader offloading regression in 13488." + }, + { + "left": "issue:3094", + "right": "issue:7646", + "accept": false, + "reason": "Different training concerns: OOM during text-to-image finetuning versus dataloader_num_workers behavior in LoRA training." + }, + { + "left": "issue:5002", + "right": "issue:6901", + "accept": false, + "reason": "Different scheduler gaps: missing use_karras_sigmas versus missing clip_sample implementation." + }, + { + "left": "issue:1367", + "right": "issue:2843", + "accept": false, + "reason": "Scheduler config saving and multi-GPU checkpoint saving are unrelated." + }, + { + "left": "issue:200", + "right": "issue:3406", + "accept": false, + "reason": "Test request for a resnet class versus an attention-class bug with only_cross_attention." + }, + { + "left": "issue:322", + "right": "issue:938", + "accept": false, + "reason": "Unrelated models/projects: V-Diffusion from Katherine versus Human Motion Diffusion Model." + }, + { + "left": "issue:8939", + "right": "issue:9063", + "accept": false, + "reason": "Both are tokenizer-loading errors, but SD3-medium tokenizer lookup and Flux slow-tokenizer instantiation are different failure modes." + }, + { + "left": "issue:3451", + "right": "issue:7646", + "accept": false, + "reason": "fp16 memory regression in train_text_to_image.py is distinct from dataloader worker tuning in LoRA training." + }, + { + "left": "issue:3624", + "right": "issue:4269", + "accept": false, + "reason": "Different TypeError sources: getattr attribute-name handling versus ControlNet check_inputs defaults." + }, + { + "left": "issue:3944", + "right": "issue:5605", + "accept": false, + "reason": "Both are Dreambooth-related, but custom network rank for LoRA and per-image caption support are different features." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The conclusions are well grounded in the packet and the wording stays mostly conservative. The Wan/offloading pair is the only clearly plausible same-bug relationship from the titles, and the other pairwise rejections are supported by visible differences in model, pipeline, or symptom. Confidence is appropriately modest." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 189, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10111", + "issue:10144", + "issue:10336", + "issue:10460", + "issue:10608", + "issue:10653", + "issue:10658", + "issue:10710", + "issue:1082", + "issue:10848", + "issue:10873", + "issue:10883", + "issue:1099", + "issue:11117", + "issue:11247", + "issue:11396", + "issue:11700", + "issue:12009", + "issue:12037", + "issue:12666", + "issue:13176", + "issue:1405", + "issue:1478", + "issue:1552", + "issue:2392", + "issue:2830", + "issue:3728", + "issue:3884", + "issue:4686", + "issue:4839", + "issue:5128", + "issue:5205", + "issue:5573", + "issue:5997", + "issue:6357", + "issue:6503", + "issue:660", + "issue:6891", + "issue:713", + "issue:7243", + "issue:7333", + "issue:775", + "issue:8500", + "issue:8565", + "issue:8588", + "issue:8759", + "issue:8876", + "issue:9166" + ], + "soft_pairs": [ + "issue:10883|issue:7243", + "issue:10658|issue:11700", + "issue:10144|issue:12666", + "issue:8500|issue:8588", + "issue:1082|issue:713", + "issue:1478|issue:4686", + "issue:10653|issue:10710", + "issue:3728|issue:7333", + "issue:10460|issue:10848", + "issue:1405|issue:1552", + "issue:660|issue:775", + "issue:1099|issue:2392", + "issue:8759|issue:9166", + "issue:10608|issue:11396", + "issue:6503|issue:6891", + "issue:5128|issue:6357", + "issue:12009|issue:12037", + "issue:11247|issue:13176", + "issue:2830|issue:5205", + "issue:11117|issue:8565", + "issue:10336|issue:10873", + "issue:5573|issue:5997", + "issue:3884|issue:4839", + "issue:10111|issue:8876" + ], + "prepared_review_unit_hash": "9f50d161617ab5f0afbcc57d45b277196b3d17e72d626975bbdbfcaebb44d697", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34043, + "estimated_input_tokens": 8511, + "estimated_eval_tokens": 17278 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly a collection of unrelated issues. The only soft pair that looks like the same underlying bug is the attention-slicing regression in `pipe.enable_attention_slicing()` / SD2.", + "confidence": 0.79, + "canonical_issue_reason": "`issue:1405` is the best canonical issue: it states the core bug broadly and matches the SD2-specific follow-up in `issue:1552`.", + "canonical_pr_reason": null, + "best_issue_reason": "`issue:1405` is the strongest issue anchor overall because it describes the root attention-slicing failure in the most general, reusable form.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10883", + "right": "issue:7243", + "accept": false, + "reason": "Different models and failures: Sana update vs ResAdapter resolution adapter." + }, + { + "left": "issue:10658", + "right": "issue:11700", + "accept": false, + "reason": "ONNX Runtime session API change vs pruna integration; unrelated changes." + }, + { + "left": "issue:10144", + "right": "issue:12666", + "accept": false, + "reason": "Mochi video quality complaint vs Kandinsky 5.0 pipeline availability; different problems." + }, + { + "left": "issue:8500", + "right": "issue:8588", + "accept": false, + "reason": "SD3 token-length question vs missing conversion script; not the same bug." + }, + { + "left": "issue:1082", + "right": "issue:713", + "accept": false, + "reason": "Both are training-related, but one is a specific CUBLAS failure and the other is a generic training error." + }, + { + "left": "issue:1478", + "right": "issue:4686", + "accept": false, + "reason": "Same pipeline family, but one is multi-image output handling and the other is loading a saved pipeline." + }, + { + "left": "issue:10653", + "right": "issue:10710", + "accept": false, + "reason": "bitsandbytes `.to()`/device movement issue vs DDUF support question; unrelated." + }, + { + "left": "issue:3728", + "right": "issue:7333", + "accept": false, + "reason": "Text-to-image pipeline proposal vs image-to-video generation request; different pipelines." + }, + { + "left": "issue:10460", + "right": "issue:10848", + "accept": false, + "reason": "Missing `mid_block_type` argument on UNet2DModel vs `load_model_dict_into_meta` unexpected `device` kwarg." + }, + { + "left": "issue:1405", + "right": "issue:1552", + "accept": true, + "reason": "Both report the same attention-slicing breakage around `enable_attention_slicing()`; `1552` is an SD2 manifestation of the same bug." + }, + { + "left": "issue:660", + "right": "issue:775", + "accept": false, + "reason": "Both involve fp16/autocast, but one is MPS-specific and the other is a broader fp16 issue." + }, + { + "left": "issue:1099", + "right": "issue:2392", + "accept": false, + "reason": "Dreambooth class-name issue vs img2img `prompt_embeds` validation error; not the same defect." + }, + { + "left": "issue:8759", + "right": "issue:9166", + "accept": false, + "reason": "Invalid cast warning in SD3 image processing vs overlay behavior; different code paths." + }, + { + "left": "issue:10608", + "right": "issue:11396", + "accept": false, + "reason": "Multi-GPU HunyuanVideo pipeline problem vs LoRA conversion to ComfyUI format; unrelated." + }, + { + "left": "issue:6503", + "right": "issue:6891", + "accept": false, + "reason": "`torch.compile()` compatibility for training scripts vs model card saving utilities; different changes." + }, + { + "left": "issue:5128", + "right": "issue:6357", + "accept": false, + "reason": "Loading local `.safetensors` from_single_file issue vs API/local result mismatch discussion; not the same bug." + }, + { + "left": "issue:12009", + "right": "issue:12037", + "accept": false, + "reason": "Both are Wan 2.2 related, but one is GGUF loading and the other is LoRA compatibility; distinct problems." + }, + { + "left": "issue:11247", + "right": "issue:13176", + "accept": false, + "reason": "Flux multi-GPU controlnet distribution vs UNet attention error; unrelated failures." + }, + { + "left": "issue:2830", + "right": "issue:5205", + "accept": false, + "reason": "Video generation question vs repaint/controlnet integration; different workflows and bugs." + }, + { + "left": "issue:11117", + "right": "issue:8565", + "accept": false, + "reason": "SD3 dtype mismatch runtime error vs SD3 LoRA loading IndexError; separate failure modes." + }, + { + "left": "issue:10336", + "right": "issue:10873", + "accept": false, + "reason": "Sana activations/clamping instability vs a SanaPipeline model-specific issue; not the same underlying bug." + }, + { + "left": "issue:5573", + "right": "issue:5997", + "accept": false, + "reason": "Slow controlnet weight initialization vs SDXL tutorial model-type mismatch; unrelated." + }, + { + "left": "issue:3884", + "right": "issue:4839", + "accept": false, + "reason": "Training script error vs `lora_scale` type error; different contexts and code paths." + }, + { + "left": "issue:10111", + "right": "issue:8876", + "accept": false, + "reason": "FLUX pipeline bugs vs PixArt Sigma microconditioning resolution bug; unrelated models." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analysis is grounded in the packet and the soft-edge verdicts are conservative. The only accepted pair, `issue:1405` / `issue:1552`, is plausibly the same attention-slicing bug, while the rest are reasonably treated as unrelated based on the issue titles. The canonical anchor choice is acceptable, though the \u201croot/general\u201d wording is a bit interpretive rather than directly evidenced." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 190, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10045", + "issue:10382", + "issue:10392", + "issue:10512", + "issue:10772", + "issue:10950", + "issue:10952", + "issue:11229", + "issue:11675", + "issue:11790", + "issue:1195", + "issue:12126", + "issue:12529", + "issue:13065", + "issue:13137", + "issue:13221", + "issue:1478", + "issue:1538", + "issue:1594", + "issue:2689", + "issue:3162", + "issue:3838", + "issue:4000", + "issue:4159", + "issue:4210", + "issue:4349", + "issue:4356", + "issue:4390", + "issue:462", + "issue:4692", + "issue:4724", + "issue:6439", + "issue:6790", + "issue:7000", + "issue:7210", + "issue:7681", + "issue:7782", + "issue:8723", + "issue:8826", + "issue:8850", + "issue:9096", + "issue:9343", + "issue:9415", + "issue:9461", + "issue:9496", + "issue:9648", + "issue:993" + ], + "soft_pairs": [ + "issue:1195|issue:993", + "issue:4356|issue:7000", + "issue:6790|issue:7782", + "issue:4210|issue:4692", + "issue:10952|issue:8826", + "issue:11675|issue:11790", + "issue:10772|issue:13065", + "issue:2689|issue:6439", + "issue:9343|issue:9415", + "issue:10512|issue:9461", + "issue:462|issue:4724", + "issue:1594|issue:3838", + "issue:10382|issue:9648", + "issue:10950|issue:7210", + "issue:1538|issue:3162", + "issue:13137|issue:13221", + "issue:1478|issue:4349", + "issue:4000|issue:8723", + "issue:10045|issue:7681", + "issue:10950|issue:8850", + "issue:10392|issue:9461", + "issue:11229|issue:9096", + "issue:10382|issue:9496", + "issue:4159|issue:4390", + "issue:12126|issue:12529" + ], + "prepared_review_unit_hash": "ba1f4a79355321f68c7b2a2eac016f8df537e8f81ce9875c63c15cdfc5890dab", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33784, + "estimated_input_tokens": 8446, + "estimated_eval_tokens": 17148 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a loose semantic cluster around loading/import/runtime issues in diffusers, but the soft pairs are generally too broad or model-specific to be true duplicates. One LoRA-weight-loading pair looks like the same bug class and likely the same fix path.", + "confidence": 0.67, + "canonical_issue_reason": "issue:10512 is the highest-activity, most representative issue in the LoRA-loading subset, so it is the best issue anchor despite the cluster being heterogeneous.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10512 has the strongest signal and discussion around a concrete recurring failure mode (LoRA load failure) among the issues here.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1195", + "right": "issue:993", + "accept": false, + "reason": "Both mention fp16/dtype problems, but one is memory-efficient attention and the other is a general stable diffusion dtype mismatch; not the same concrete bug." + }, + { + "left": "issue:4356", + "right": "issue:7000", + "accept": false, + "reason": "A missing module import error and a PyTorch deprecation warning are unrelated failures." + }, + { + "left": "issue:6790", + "right": "issue:7782", + "accept": false, + "reason": "State-dict key mismatch during LCM training and invalid safetensors conversion are different code paths." + }, + { + "left": "issue:4210", + "right": "issue:4692", + "accept": false, + "reason": "One asks about attention_mask usage; the other is a memory complaint. Same model class, different bug." + }, + { + "left": "issue:10952", + "right": "issue:8826", + "accept": false, + "reason": "LoRA adapter-name mismatch in a specific pipeline versus a torch.cat empty-list runtime error; unrelated." + }, + { + "left": "issue:11675", + "right": "issue:11790", + "accept": true, + "reason": "Both report LoRA weights failing to load, and both point to the same load_lora_weights-style failure path." + }, + { + "left": "issue:10772", + "right": "issue:13065", + "accept": false, + "reason": "Different feature requests for different models; not duplicates." + }, + { + "left": "issue:2689", + "right": "issue:6439", + "accept": false, + "reason": "Both are broken links, but they are different links in different docs contexts." + }, + { + "left": "issue:9343", + "right": "issue:9415", + "accept": false, + "reason": "Different models and different errors; only loosely related by transformer loading." + }, + { + "left": "issue:10512", + "right": "issue:9461", + "accept": false, + "reason": "One is a LoRA load failure, the other is a Flux inference issue with different symptoms." + }, + { + "left": "issue:462", + "right": "issue:4724", + "accept": false, + "reason": "Both are img2img pipeline problems, but they involve different versions/models and different failure modes." + }, + { + "left": "issue:1594", + "right": "issue:3838", + "accept": false, + "reason": "Different feature requests about video generation; not the same change or bug." + }, + { + "left": "issue:10382", + "right": "issue:9648", + "accept": false, + "reason": "Return-type mismatch in VAE forward versus VAE tiling memory overflow are unrelated." + }, + { + "left": "issue:10950", + "right": "issue:7210", + "accept": false, + "reason": "A docs page broken link and an accelerate runtime attribute error are not the same issue." + }, + { + "left": "issue:1538", + "right": "issue:3162", + "accept": false, + "reason": "Different Stable Diffusion pipeline failures with different error signatures." + }, + { + "left": "issue:13137", + "right": "issue:13221", + "accept": false, + "reason": "Both mention LoRA support, but they are different models and different reports; too broad to merge." + }, + { + "left": "issue:1478", + "right": "issue:4349", + "accept": false, + "reason": "Same pipeline family, but one is multi-image output handling and the other is missing text_encoder support." + }, + { + "left": "issue:4000", + "right": "issue:8723", + "accept": false, + "reason": "Checkpoint conversion and SD3ControlNetModel initialization are distinct operations." + }, + { + "left": "issue:10045", + "right": "issue:7681", + "accept": false, + "reason": "Generic pipeline import problem versus a specific environment/OpenSSL import failure; not the same root cause." + }, + { + "left": "issue:10950", + "right": "issue:8850", + "accept": false, + "reason": "Docs broken versus community pipelines mirror broken; different targets." + }, + { + "left": "issue:10392", + "right": "issue:9461", + "accept": false, + "reason": "Different Flux-related reports with different models and symptoms." + }, + { + "left": "issue:11229", + "right": "issue:9096", + "accept": false, + "reason": "Both are NaN inference issues, but they affect different models and likely different numerical paths." + }, + { + "left": "issue:10382", + "right": "issue:9496", + "accept": false, + "reason": "Different model components and different runtime errors." + }, + { + "left": "issue:4159", + "right": "issue:4390", + "accept": false, + "reason": "VRAM usage complaint versus missing requirements; unrelated." + }, + { + "left": "issue:12126", + "right": "issue:12529", + "accept": false, + "reason": "Both are wan2.2 issues, but one is cache_context switching and the other is tiled VAE tensor mismatch; different bugs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary stays grounded in the packet and the pairwise verdicts are appropriately conservative overall. The single accepted LoRA-loading pair is supported by the issue titles/body metadata, and the rest are mostly careful rejections of only loosely related reports." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 191, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10025", + "issue:10050", + "issue:10282", + "issue:10514", + "issue:10710", + "issue:1083", + "issue:10920", + "issue:11283", + "issue:11709", + "issue:12009", + "issue:12113", + "issue:12348", + "issue:12752", + "issue:1475", + "issue:1534", + "issue:1565", + "issue:1608", + "issue:2618", + "issue:2941", + "issue:3140", + "issue:3250", + "issue:3405", + "issue:3728", + "issue:3891", + "issue:4314", + "issue:4542", + "issue:5429", + "issue:5462", + "issue:5510", + "issue:5523", + "issue:5606", + "issue:5769", + "issue:5772", + "issue:5877", + "issue:6368", + "issue:668", + "issue:6869", + "issue:7178", + "issue:7180", + "issue:7243", + "issue:7377", + "issue:7405", + "issue:7408", + "issue:7562", + "issue:7968", + "issue:7972", + "issue:8790", + "issue:9023" + ], + "soft_pairs": [ + "issue:10025|issue:7968", + "issue:1565|issue:1608", + "issue:5510|issue:7972", + "issue:10920|issue:9023", + "issue:11283|issue:11709", + "issue:5606|issue:6368", + "issue:1083|issue:2941", + "issue:5429|issue:5462", + "issue:10282|issue:12009", + "issue:10514|issue:10710", + "issue:1534|issue:668", + "issue:5769|issue:5772", + "issue:4542|issue:7377", + "issue:1475|issue:5877", + "issue:6869|issue:7178", + "issue:3891|issue:7408", + "issue:7243|issue:8790", + "issue:3728|issue:7405", + "issue:3405|issue:4314", + "issue:2618|issue:3140", + "issue:3250|issue:5523", + "issue:12113|issue:12348", + "issue:7180|issue:7562", + "issue:10050|issue:12752" + ], + "prepared_review_unit_hash": "e8c6e843e8937c5bfb8b269c18ec587678294015828e5c5722bd36974319588a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33837, + "estimated_input_tokens": 8460, + "estimated_eval_tokens": 17176 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous issue noise across unrelated pipelines/models. Only two soft pairs look like plausible same-bug matches: WanImageToVideoPipeline tensor mismatch, and SDXL ControlNet img2img CPU offload issues. The rest are superficial title similarities and should be rejected.", + "confidence": 0.19, + "canonical_issue_reason": "No single canonical issue stands out: the items span unrelated bugs, features, and model families, so there is no clear duplicate hub.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12348 is the closest thing to a representative active bug report, but it is still not a true canonical for the rest of the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10025", + "right": "issue:7968", + "accept": false, + "reason": "Different underlying problems and model families: Flux attention mask handling vs UNetMotionModel attention in motion modules." + }, + { + "left": "issue:1565", + "right": "issue:1608", + "accept": false, + "reason": "Unrelated training/runtime issues: GPU selection/out-of-memory vs training stopping at 500 steps." + }, + { + "left": "issue:5510", + "right": "issue:7972", + "accept": false, + "reason": "Both are type-mismatch reports, but they affect different pipelines and likely different code paths." + }, + { + "left": "issue:10920", + "right": "issue:9023", + "accept": false, + "reason": "DDIMInverseScheduler inf at first step is unrelated to a generic sample-code failure." + }, + { + "left": "issue:11283", + "right": "issue:11709", + "accept": false, + "reason": "Different Wan loading failures: header deserialization vs LoRA key mismatch." + }, + { + "left": "issue:5606", + "right": "issue:6368", + "accept": false, + "reason": "Both concern LoRA loading, but the concrete bug differs: missing alpha value vs unsupported checkpoint layer alpha." + }, + { + "left": "issue:1083", + "right": "issue:2941", + "accept": false, + "reason": "Incorrect FP16 ONNX output is not the same as EulerAncestralDiscreteScheduler producing undesired results." + }, + { + "left": "issue:5429", + "right": "issue:5462", + "accept": false, + "reason": "Both are feature requests around pipelines, but they target different capabilities and model types." + }, + { + "left": "issue:10282", + "right": "issue:12009", + "accept": false, + "reason": "Both are model-loading problems, but one is an x_embedder shape mismatch and the other is a meta-tensor copy failure on Wan GGUF." + }, + { + "left": "issue:10514", + "right": "issue:10710", + "accept": false, + "reason": "Sana resolution-binning support is unrelated to DDUF format support." + }, + { + "left": "issue:1534", + "right": "issue:668", + "accept": false, + "reason": "Both are DreamBooth-related, but one is a notebook error and the other is a T4 training runtime issue." + }, + { + "left": "issue:5769", + "right": "issue:5772", + "accept": false, + "reason": "Mixed-precision training correctness and dataset performance are unrelated topics." + }, + { + "left": "issue:4542", + "right": "issue:7377", + "accept": false, + "reason": "Both mention multi-image generation, but they are different pipelines with different failures." + }, + { + "left": "issue:1475", + "right": "issue:5877", + "accept": false, + "reason": "Different training issues: class-image handling vs subprocess failures in textual inversion/DreamBooth." + }, + { + "left": "issue:6869", + "right": "issue:7178", + "accept": false, + "reason": "Both mention export_to_video, but only one gives a specific unpacking traceback; not enough evidence of the same bug." + }, + { + "left": "issue:3891", + "right": "issue:7408", + "accept": false, + "reason": "Separate new-pipeline requests for different models." + }, + { + "left": "issue:7243", + "right": "issue:8790", + "accept": false, + "reason": "ResAdapter and SDXL TensorRT + IP Adapter are distinct model/pipeline requests." + }, + { + "left": "issue:3728", + "right": "issue:7405", + "accept": false, + "reason": "Different new model/pipeline requests with no shared concrete implementation bug." + }, + { + "left": "issue:3405", + "right": "issue:4314", + "accept": false, + "reason": "ControlNet training bug is unrelated to interrupted-download write protection." + }, + { + "left": "issue:2618", + "right": "issue:3140", + "accept": false, + "reason": "ControlNet image-input support and a missing import error are different issues." + }, + { + "left": "issue:3250", + "right": "issue:5523", + "accept": false, + "reason": "Can't run KDiffusion pipeline and inconsistent results per run are not the same failure." + }, + { + "left": "issue:12113", + "right": "issue:12348", + "accept": true, + "reason": "Same pipeline and same symptom class: WanImageToVideoPipeline tensor mismatch at certain resolutions; the second issue is a broader restatement of the first." + }, + { + "left": "issue:7180", + "right": "issue:7562", + "accept": true, + "reason": "Both report CPU offload failures in StableDiffusionXLControlNetImg2ImgPipeline, with the multicontrolnet case plausibly the same code-path bug." + }, + { + "left": "issue:10050", + "right": "issue:12752", + "accept": false, + "reason": "Both are img2img-related requests, but they target different models and one also asks for inpainting; too broad to be the same change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The heterogeneity claim is supported by the titles, and the two accepted soft pairs are plausibly same-bug matches without overstating certainty. No soft-edge verdict appears to overclaim beyond the available evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 192, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10054", + "issue:10500", + "issue:10573", + "issue:10639", + "issue:10653", + "issue:10937", + "issue:11023", + "issue:11223", + "issue:11229", + "issue:11283", + "issue:11342", + "issue:11489", + "issue:11749", + "issue:12369", + "issue:3085", + "issue:3159", + "issue:3880", + "issue:4368", + "issue:4616", + "issue:5335", + "issue:539", + "issue:5710", + "issue:6095", + "issue:6287", + "issue:6363", + "issue:6439", + "issue:6463", + "issue:6695", + "issue:6725", + "issue:7303", + "issue:7418", + "issue:7441", + "issue:7456", + "issue:7629", + "issue:7636", + "issue:7681", + "issue:7848", + "issue:7931", + "issue:8560", + "issue:8850", + "issue:9025", + "issue:9031", + "issue:9034", + "issue:9397", + "issue:9680", + "issue:9729", + "issue:9731", + "issue:9933" + ], + "soft_pairs": [ + "issue:10054|issue:9933", + "issue:3880|issue:5710", + "issue:4368|issue:8560", + "issue:6363|issue:6695", + "issue:6463|issue:7456", + "issue:7303|issue:9397", + "issue:7681|issue:9034", + "issue:6095|issue:7629", + "issue:10573|issue:7931", + "issue:10500|issue:10653", + "issue:8850|issue:9680", + "issue:11023|issue:7848", + "issue:5335|issue:7418", + "issue:9025|issue:9031", + "issue:4616|issue:7636", + "issue:11229|issue:11342", + "issue:10639|issue:12369", + "issue:11489|issue:9729", + "issue:3159|issue:6439", + "issue:10937|issue:11749", + "issue:11223|issue:11283", + "issue:6287|issue:7441", + "issue:6725|issue:9731", + "issue:3085|issue:539" + ], + "prepared_review_unit_hash": "f8494f13588bb6411aa34a899954663bbdc015fde86fcf3be288dc6216cc5f6d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34114, + "estimated_input_tokens": 8529, + "estimated_eval_tokens": 17314 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the items span unrelated scheduler bugs, pipeline/device errors, training/OOM problems, docs fixes, and feature requests. None of the suggested soft pairs look like the same underlying bug or change, so I would not merge any of them or nominate a single canonical artifact.", + "confidence": 0.96, + "canonical_issue_reason": "No single issue represents the whole set; the items are not duplicates and do not share one concrete failing code path.", + "canonical_pr_reason": "No pull requests are present in this cluster.", + "best_issue_reason": "No issue is a good global canonical because the cluster is mixed across unrelated subsystems and problem types.", + "best_pr_reason": "No pull requests are present in this cluster.", + "soft_edge_verdicts": [ + { + "left": "issue:10054", + "right": "issue:9933", + "accept": false, + "reason": "Both mention scheduler/shape-related problems, but one is a torch.linspace parameter bug and the other is missing width/height in SD3 img2img; different code paths." + }, + { + "left": "issue:3880", + "right": "issue:5710", + "accept": false, + "reason": "Inpainting degradation and missing self.sigmas in a scheduler initialization are unrelated bugs." + }, + { + "left": "issue:4368", + "right": "issue:8560", + "accept": false, + "reason": "Both are OOM reports, but they concern different models and training setups, not the same bug." + }, + { + "left": "issue:6363", + "right": "issue:6695", + "accept": false, + "reason": "These are distinct training/subprocess errors with no shared failure mode beyond generic runtime failure." + }, + { + "left": "issue:6463", + "right": "issue:7456", + "accept": false, + "reason": "Missing audio_diffusion pipeline and a generic missing raise statement are not the same issue." + }, + { + "left": "issue:7303", + "right": "issue:9397", + "accept": false, + "reason": "Zero-SNR scheduler creation and SGMUniform scheduler support for Hyper LoRAs are different feature/bug requests." + }, + { + "left": "issue:7681", + "right": "issue:9034", + "accept": false, + "reason": "A cryptography/OpenSSL import failure is unrelated to an AutoPipeline dependency requirement issue." + }, + { + "left": "issue:6095", + "right": "issue:7629", + "accept": false, + "reason": "Both involve SVD/scheduling, but one is an IndexError in Euler discrete scheduling and the other is a PyTorch 1.13.1 OOM difference; not the same bug." + }, + { + "left": "issue:10573", + "right": "issue:7931", + "accept": false, + "reason": "Both involve ControlNet inpaint pipelines, but one is padding_mask_crop with multiple controlnets and the other is IP-Adapter image_embeds; separate code paths." + }, + { + "left": "issue:10500", + "right": "issue:10653", + "accept": false, + "reason": "Both are BitsAndBytes device-mismatch complaints, but one is about HunyuanVideo local inference and the other is a specific .to(cpu) limitation on the transformer module; not clearly the same fix." + }, + { + "left": "issue:8850", + "right": "issue:9680", + "accept": false, + "reason": "Community pipelines mirror issues and SDXL unconditional generation are unrelated." + }, + { + "left": "issue:11023", + "right": "issue:7848", + "accept": false, + "reason": "Both concern a custom LPW/SDXL pipeline, but one is blur on Playground v2.5 and the other is incorrect decoding in a community example; not the same underlying bug." + }, + { + "left": "issue:5335", + "right": "issue:7418", + "accept": false, + "reason": "Local deployment behind a government block and an example-code bug are unrelated." + }, + { + "left": "issue:9025", + "right": "issue:9031", + "accept": false, + "reason": "Using FlaxStableDiffusionPipeline with from_single_file and disabling the safety checker are separate usage questions." + }, + { + "left": "issue:4616", + "right": "issue:7636", + "accept": false, + "reason": "An SDXL LoRA conversion script issue and a ControlNet tile model usage question are not duplicates." + }, + { + "left": "issue:11229", + "right": "issue:11342", + "accept": false, + "reason": "NaNs from attention slicing on SDXL/MPS and Sana-sprint failing on MPS are both platform-related, but they affect different pipelines and likely different causes." + }, + { + "left": "issue:10639", + "right": "issue:12369", + "accept": false, + "reason": "Adding support for Lumina-Image 2.0 and a Wan 2.1 CineScale scaling request are different feature requests." + }, + { + "left": "issue:11489", + "right": "issue:9729", + "accept": false, + "reason": "Flux LoRA training error and unexpected save_model for T5EncoderModel are both training-related, but they are different failures in different scripts." + }, + { + "left": "issue:3159", + "right": "issue:6439", + "accept": false, + "reason": "A typo in documentation code and a broken docs link are separate documentation issues." + }, + { + "left": "issue:10937", + "right": "issue:11749", + "accept": false, + "reason": "Both mention compile/timesteps behavior, but one is torch.compile failing on vae.encode and the other is floating-point timestep errors in a scheduler; not the same bug." + }, + { + "left": "issue:11223", + "right": "issue:11283", + "accept": false, + "reason": "Layer-wise upcasting OOM with LoRAs and Wan header deserialization failure are unrelated." + }, + { + "left": "issue:6287", + "right": "issue:7441", + "accept": false, + "reason": "Unused dependencies in setup.py and pytest failing on Python 3.12 are different repository maintenance issues." + }, + { + "left": "issue:6725", + "right": "issue:9731", + "accept": false, + "reason": "Generating images with LDMPipeline and using Playground2.5 for style training are unrelated pipeline/usage topics." + }, + { + "left": "issue:3085", + "right": "issue:539", + "accept": false, + "reason": "A removed cache-folder argument and an unexpected allow_patterns keyword in snapshot_download are different API compatibility issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 193, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10057", + "issue:10282", + "issue:10321", + "issue:1037", + "issue:10398", + "issue:10757", + "issue:11023", + "issue:11063", + "issue:11519", + "issue:1207", + "issue:1290", + "issue:1433", + "issue:1445", + "issue:1539", + "issue:1544", + "issue:1941", + "issue:2044", + "issue:2311", + "issue:2321", + "issue:2635", + "issue:2728", + "issue:3019", + "issue:3043", + "issue:3623", + "issue:3901", + "issue:4159", + "issue:4446", + "issue:4609", + "issue:4615", + "issue:4648", + "issue:6142", + "issue:6162", + "issue:6368", + "issue:6506", + "issue:6839", + "issue:7177", + "issue:7219", + "issue:7243", + "issue:8373", + "issue:8410", + "issue:8613", + "issue:8863", + "issue:8885", + "issue:8975", + "issue:9450", + "issue:9551", + "issue:9904" + ], + "soft_pairs": [ + "issue:1941|issue:2728", + "issue:3623|issue:4446", + "issue:7243|issue:9551", + "issue:6162|issue:8863", + "issue:4648|issue:7177", + "issue:6506|issue:6839", + "issue:11519|issue:8410", + "issue:1433|issue:1445", + "issue:3019|issue:4609", + "issue:11023|issue:8613", + "issue:3901|issue:4159", + "issue:10057|issue:8885", + "issue:10321|issue:10398", + "issue:2311|issue:2635", + "issue:1037|issue:1290", + "issue:3043|issue:7219", + "issue:1207|issue:2044", + "issue:11063|issue:8373", + "issue:4615|issue:6142", + "issue:10757|issue:8975", + "issue:10282|issue:6368", + "issue:9450|issue:9904", + "issue:1207|issue:1544", + "issue:1539|issue:2321" + ], + "prepared_review_unit_hash": "5b12db32c127df8dbfa20f7568c910e358e1f5464778a5fae6586a699bbbe8f3", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33522, + "estimated_input_tokens": 8381, + "estimated_eval_tokens": 17018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The candidate edges are mostly superficial similarities across unrelated Diffusers issues; I would reject all soft matches. The cluster is too heterogeneous to have a strong duplicate center, but the most representative issue is the single-file loading failure around StableVideoDiffusionPipeline.", + "confidence": 0.34, + "canonical_issue_reason": "issue:6839 is the clearest representative of the recurring model-loading/from_single_file theme in this set, with a concrete reproducible failure mode.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6839 is a focused bug report with a concrete API path and clear user impact, making it the best single issue to stand in for this loose loading-related cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1941", + "right": "issue:2728", + "accept": false, + "reason": "Both are model-loading failures, but for different pipelines and different failure modes; not the same underlying bug." + }, + { + "left": "issue:3623", + "right": "issue:4446", + "accept": false, + "reason": "One is a generic large-model loading complaint, the other is about custom text_encoder support in from_single_file; related but not duplicates." + }, + { + "left": "issue:7243", + "right": "issue:9551", + "accept": false, + "reason": "Both request model/pipeline support, but they target different capabilities and concrete changes." + }, + { + "left": "issue:6162", + "right": "issue:8863", + "accept": false, + "reason": "Shape mismatch in IP-Adapter loading versus a tuple/shape attribute error; distinct code paths and failures." + }, + { + "left": "issue:4648", + "right": "issue:7177", + "accept": false, + "reason": "Both involve pipeline loading, but the missing config.json in one case and StableCascadeDecoderPipeline.from_pretrained in the other are different issues." + }, + { + "left": "issue:6506", + "right": "issue:6839", + "accept": false, + "reason": "Output formatting bug vs inability to use from_single_file; different behavior and fix scope." + }, + { + "left": "issue:11519", + "right": "issue:8410", + "accept": false, + "reason": "Both are feature requests for new model support, but they are separate model families and separate changes." + }, + { + "left": "issue:1433", + "right": "issue:1445", + "accept": false, + "reason": "Both are ONNX-related AttributeErrors, but they affect different classes and call paths." + }, + { + "left": "issue:3019", + "right": "issue:4609", + "accept": false, + "reason": "Unrelated community/model support requests; no shared concrete bug or change." + }, + { + "left": "issue:11023", + "right": "issue:8613", + "accept": false, + "reason": "Blurred outputs in a custom pipeline versus an OOM during caption-column use; not the same underlying problem." + }, + { + "left": "issue:3901", + "right": "issue:4159", + "accept": false, + "reason": "Missing requirements.txt is a repository/file issue, while DiffEdit VRAM use is a runtime memory problem." + }, + { + "left": "issue:10057", + "right": "issue:8885", + "accept": false, + "reason": "FluxTransformer2DModel.from_single_file token handling is unrelated to installing clip-retrieval and loading modifier tokens in Custom Diffusion." + }, + { + "left": "issue:10321", + "right": "issue:10398", + "accept": false, + "reason": "Missing model files for LTX-Video versus missing target modules for LoRA/base-model mapping; different root causes." + }, + { + "left": "issue:2311", + "right": "issue:2635", + "accept": false, + "reason": "General scheduler discussion, but they ask different questions and do not describe the same bug or change." + }, + { + "left": "issue:1037", + "right": "issue:1290", + "accept": false, + "reason": "Separate community-pipeline requests for different models; not duplicates." + }, + { + "left": "issue:3043", + "right": "issue:7219", + "accept": false, + "reason": "Different model additions (ODISE vs SUPIR), so not the same underlying change request." + }, + { + "left": "issue:1207", + "right": "issue:2044", + "accept": false, + "reason": "CUDA runtime symbol error versus a DistributedDataParallel dtype attribute error; unrelated failures." + }, + { + "left": "issue:11063", + "right": "issue:8373", + "accept": false, + "reason": "Incorrect padding logic and incorrect error message are different bugs." + }, + { + "left": "issue:4615", + "right": "issue:6142", + "accept": false, + "reason": "ImportError for a pipeline class versus a missing function NameError; unrelated." + }, + { + "left": "issue:10757", + "right": "issue:8975", + "accept": false, + "reason": "A variable-name fix in a conversion script is unrelated to an import error for LoraLoaderMixin." + }, + { + "left": "issue:10282", + "right": "issue:6368", + "accept": false, + "reason": "Both are loading/adapter-related, but the first is a tensor shape mismatch and the second is unsupported LoRA checkpoint metadata." + }, + { + "left": "issue:9450", + "right": "issue:9904", + "accept": false, + "reason": "Both are FluxPipeline issues, but one is a device-placement error and the other is image-shape rounding; different bugs." + }, + { + "left": "issue:1207", + "right": "issue:1544", + "accept": false, + "reason": "CUDA environment/runtime failure versus scheduler API missing method; unrelated." + }, + { + "left": "issue:1539", + "right": "issue:2321", + "accept": false, + "reason": "Conversion-script type handling is not the same as EMA weight handling during inference." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 194, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10111", + "issue:10226", + "issue:10675", + "issue:10796", + "issue:10994", + "issue:11014", + "issue:11023", + "issue:11396", + "issue:1160", + "issue:1166", + "issue:1290", + "issue:12995", + "issue:1617", + "issue:1677", + "issue:197", + "issue:1974", + "issue:200", + "issue:2083", + "issue:2221", + "issue:2560", + "issue:3043", + "issue:3706", + "issue:3891", + "issue:4436", + "issue:4609", + "issue:462", + "issue:4648", + "issue:5300", + "issue:541", + "issue:5881", + "issue:6141", + "issue:6234", + "issue:6278", + "issue:6374", + "issue:6518", + "issue:6688", + "issue:7142", + "issue:7513", + "issue:785", + "issue:8485", + "issue:8588", + "issue:8834", + "issue:8880", + "issue:8918", + "issue:9258", + "issue:9895", + "issue:9958" + ], + "soft_pairs": [ + "issue:1617|issue:2221", + "issue:10010|issue:4648", + "issue:1290|issue:541", + "issue:11023|issue:12995", + "issue:10111|issue:10675", + "issue:10796|issue:11396", + "issue:197|issue:200", + "issue:2560|issue:462", + "issue:3043|issue:3891", + "issue:3043|issue:6688", + "issue:6234|issue:8588", + "issue:6374|issue:9258", + "issue:8880|issue:9895", + "issue:1160|issue:1166", + "issue:3706|issue:4609", + "issue:6141|issue:9958", + "issue:10226|issue:10994", + "issue:1677|issue:785", + "issue:5881|issue:7142", + "issue:6278|issue:6518", + "issue:10010|issue:10675", + "issue:4436|issue:5300", + "issue:6234|issue:8918", + "issue:8485|issue:8834", + "issue:1974|issue:2083", + "issue:11014|issue:7513" + ], + "prepared_review_unit_hash": "044806235a9aeccdc6668599f2f84cfd7b1b80cc7ff1cc6d4af4dc09520a33e9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 34271, + "estimated_input_tokens": 8568, + "estimated_eval_tokens": 17392 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose FLUX/Stable Diffusion issue mix with many false-positive similarity links. None of the soft pairs look like true duplicates or mergeable one-PR fixes. Issue 10111 is the closest umbrella FLUX tracker, but it does not subsume the specific bugs.", + "confidence": 0.9, + "canonical_issue_reason": "Issue 10111 is the broadest FLUX umbrella in the set and the closest thing to a cluster anchor, though it is still not a duplicate of the specific reports.", + "canonical_pr_reason": null, + "best_issue_reason": "10111 is the most generic and central issue here, so it is the best representative if one issue must stand in for the cluster; still, the underlying reports are too diverse for true deduping.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1617", + "right": "issue:2221", + "accept": false, + "reason": "Both mention errors, but one is a missing-args CLI failure and the other is a ColossalAI error; unrelated bug causes." + }, + { + "left": "issue:10010", + "right": "issue:4648", + "accept": false, + "reason": "Both are file-not-found style failures, but they involve different models, paths, and contexts (FLUX Fill example vs ControlNet config)." + }, + { + "left": "issue:1290", + "right": "issue:541", + "accept": false, + "reason": "One is a community model proposal, the other is a SageMaker discussion; not the same issue." + }, + { + "left": "issue:11023", + "right": "issue:12995", + "accept": false, + "reason": "Different products and questions: blur in a playground pipeline versus whether Cosmos-Predict2.5 generates or reconstructs video." + }, + { + "left": "issue:10111", + "right": "issue:10675", + "accept": false, + "reason": "Both are FLUX-related, but one is a broad bug tracker and the other is a specific scheduler max_shift config difference." + }, + { + "left": "issue:10796", + "right": "issue:11396", + "accept": false, + "reason": "Both ask for guidance, but on different models and workflows (HunyuanVideo LoRA docs vs Hidream LoRA conversion)." + }, + { + "left": "issue:197", + "right": "issue:200", + "accept": false, + "reason": "Dead-code cleanup versus a ResNet test request; no shared underlying bug or change." + }, + { + "left": "issue:2560", + "right": "issue:462", + "accept": false, + "reason": "Both concern img2img behavior, but one is list-of-generators output mismatch and the other is an Apple MPS regression." + }, + { + "left": "issue:3043", + "right": "issue:3891", + "accept": false, + "reason": "Both are feature additions, but for completely different models (ODISE vs Tortoise TTS)." + }, + { + "left": "issue:3043", + "right": "issue:6688", + "accept": false, + "reason": "Feature requests for different pipelines/models; not the same code-path change." + }, + { + "left": "issue:6234", + "right": "issue:8588", + "accept": false, + "reason": "Different scripts and model families: SDXL training script issue versus missing SD3 conversion script." + }, + { + "left": "issue:6374", + "right": "issue:9258", + "accept": false, + "reason": "Unrelated topics and models; the Chinese Qwen LoRA weight question is not the FLUX Windows performance report." + }, + { + "left": "issue:8880", + "right": "issue:9895", + "accept": false, + "reason": "Both are Flux inference-related, but one is a speed regression and the other is a device placement error; different bugs." + }, + { + "left": "issue:1160", + "right": "issue:1166", + "accept": false, + "reason": "Both hang, but in different tests and code paths (custom pipeline test vs TPU textual inversion saving)." + }, + { + "left": "issue:3706", + "right": "issue:4609", + "accept": false, + "reason": "Separate model additions: Wuerstchen versus t2iadapter_style_sd14v1." + }, + { + "left": "issue:6141", + "right": "issue:9958", + "accept": false, + "reason": "ControlNet parameter support and AutoencoderKLTemporalDecoder tiling are unrelated feature requests." + }, + { + "left": "issue:10226", + "right": "issue:10994", + "accept": false, + "reason": "Both are Flux DreamBooth/LoRA training issues, but the reported failures differ (tensor mismatch vs batch-size>1 crash)." + }, + { + "left": "issue:1677", + "right": "issue:785", + "accept": false, + "reason": "Wrong data type calling StableDiffusionPipeline is unrelated to PNDMScheduler performance cost." + }, + { + "left": "issue:5881", + "right": "issue:7142", + "accept": false, + "reason": "Both compare results against other repos, but they are different models and different quality regressions." + }, + { + "left": "issue:6278", + "right": "issue:6518", + "accept": false, + "reason": "Same script family, but different failures: multi-GPU setup versus a NoneType floor-division crash." + }, + { + "left": "issue:10010", + "right": "issue:10675", + "accept": false, + "reason": "A FLUX Fill model-index 404 and a scheduler max_shift discrepancy are different bugs." + }, + { + "left": "issue:4436", + "right": "issue:5300", + "accept": false, + "reason": "Converting a CIVITAI model to diffusers is unrelated to the package unexpectedly connecting to the internet." + }, + { + "left": "issue:6234", + "right": "issue:8918", + "accept": false, + "reason": "Different training scripts and model families: SDXL text-to-image training versus SD3 DreamBooth." + }, + { + "left": "issue:8485", + "right": "issue:8834", + "accept": false, + "reason": "Support for SD3 LoRA and releasing SD3 ControlNet training code are separate feature requests." + }, + { + "left": "issue:1974", + "right": "issue:2083", + "accept": false, + "reason": "Both mention generators and schedulers, but they affect different schedulers and different failure modes." + }, + { + "left": "issue:11014", + "right": "issue:7513", + "accept": false, + "reason": "Both are resource problems, but one is an OOM on Colab A100 and the other is a DreamBooth run on a 3060; not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 195, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10054", + "issue:10855", + "issue:10920", + "issue:11178", + "issue:11448", + "issue:11540", + "issue:12436", + "issue:12483", + "issue:12761", + "issue:1350", + "issue:1524", + "issue:1539", + "issue:1617", + "issue:1976", + "issue:2161", + "issue:2676", + "issue:2830", + "issue:2984", + "issue:3073", + "issue:3963", + "issue:3974", + "issue:3984", + "issue:4178", + "issue:4194", + "issue:4213", + "issue:4605", + "issue:4611", + "issue:4647", + "issue:4665", + "issue:5108", + "issue:5320", + "issue:5341", + "issue:5557", + "issue:5731", + "issue:5877", + "issue:6572", + "issue:6958", + "issue:7183", + "issue:7456", + "issue:7686", + "issue:8465", + "issue:8637", + "issue:8790", + "issue:9096", + "issue:9350", + "issue:9799", + "issue:9895" + ], + "soft_pairs": [ + "issue:9350|issue:9799", + "issue:4213|issue:5108", + "issue:1350|issue:3073", + "issue:12436|issue:12483", + "issue:2830|issue:4611", + "issue:5731|issue:7456", + "issue:6572|issue:8790", + "issue:2676|issue:3974", + "issue:4647|issue:6958", + "issue:1539|issue:1976", + "issue:2161|issue:4605", + "issue:10920|issue:9096", + "issue:10054|issue:7183", + "issue:10855|issue:12761", + "issue:2984|issue:3073", + "issue:11540|issue:9895", + "issue:1617|issue:5557", + "issue:11178|issue:8465", + "issue:3984|issue:7686", + "issue:4178|issue:4194", + "issue:3963|issue:4665", + "issue:5320|issue:5341", + "issue:11448|issue:8637", + "issue:1524|issue:5877" + ], + "prepared_review_unit_hash": "48478e07a5f574f4af4fb4d43a9e86551a2f8dcd9fa8e72524dda6a15d7a0f59", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33781, + "estimated_input_tokens": 8446, + "estimated_eval_tokens": 17148 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated one-off issues. The only likely duplicate pair is the CLIPTextModel/offload_state_dict vs diffusers/transformers TypeError report; the rest are just loosely similar by subsystem or wording.", + "confidence": 0.89, + "canonical_issue_reason": "Pick issue #12483 as the canonical issue: it states the broader dependency/version conflict and best captures the underlying CLIPTextModel TypeError that issue #12436 reports more narrowly.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #12483 is the most complete and general report for the shared TypeError/compatibility problem, so it is the best representative issue in this cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9350", + "right": "issue:9799", + "accept": false, + "reason": "Different failures: a deprecation warning about txt_ids shape versus a runtime tensor size mismatch." + }, + { + "left": "issue:4213", + "right": "issue:5108", + "accept": false, + "reason": "Both involve pipeline/model usage, but they describe different errors and different features." + }, + { + "left": "issue:1350", + "right": "issue:3073", + "accept": false, + "reason": "One is an object-detection project request, the other is a request to add consistency models; not the same bug/change." + }, + { + "left": "issue:12436", + "right": "issue:12483", + "accept": true, + "reason": "Same underlying compatibility bug: CLIPTextModel receiving an unexpected offload_state_dict kwarg / TypeError from diffusers-transformers mismatch." + }, + { + "left": "issue:2830", + "right": "issue:4611", + "accept": false, + "reason": "Both mention video/modelscope, but they are unrelated feature requests/issues." + }, + { + "left": "issue:5731", + "right": "issue:7456", + "accept": false, + "reason": "Different code paths: missing trainable logvar in AutoencoderKL vs a missing raise statement." + }, + { + "left": "issue:6572", + "right": "issue:8790", + "accept": false, + "reason": "Completely different model/pipeline areas and error conditions." + }, + { + "left": "issue:2676", + "right": "issue:3974", + "accept": false, + "reason": "Scheduler-name lookup and safetensors loading are unrelated problems." + }, + { + "left": "issue:4647", + "right": "issue:6958", + "accept": false, + "reason": "Both are architecture/config issues, but they affect different models and different missing parameters." + }, + { + "left": "issue:1539", + "right": "issue:1976", + "accept": false, + "reason": "Conversion-script type handling is unrelated to the tokenizer/config file lookup error." + }, + { + "left": "issue:2161", + "right": "issue:4605", + "accept": false, + "reason": "Both mention inpainting, but they are different training/pipeline bugs." + }, + { + "left": "issue:10920", + "right": "issue:9096", + "accept": false, + "reason": "Different numerical issues: first-iteration inf in a scheduler versus Flux half-precision NaNs." + }, + { + "left": "issue:10054", + "right": "issue:7183", + "accept": false, + "reason": "One is about linspace parameters for beta sigmas; the other is an incorrect scheduler class name in config." + }, + { + "left": "issue:10855", + "right": "issue:12761", + "accept": false, + "reason": "Gradient accumulation stepping and an autograd gradient-count error are unrelated." + }, + { + "left": "issue:2984", + "right": "issue:3073", + "accept": false, + "reason": "A research/project issue versus a request to add a different model family." + }, + { + "left": "issue:11540", + "right": "issue:9895", + "accept": false, + "reason": "Different Flux problems: VAE slicing noise versus device placement mismatch." + }, + { + "left": "issue:1617", + "right": "issue:5557", + "accept": false, + "reason": "Command-line argument parsing failure is unrelated to an unexpected keyword argument in another API." + }, + { + "left": "issue:11178", + "right": "issue:8465", + "accept": false, + "reason": "Both are from_single_file loading errors, but the models and exact failure modes differ; not enough evidence of the same bug." + }, + { + "left": "issue:3984", + "right": "issue:7686", + "accept": false, + "reason": "Different validation errors about different UNet configuration fields." + }, + { + "left": "issue:4178", + "right": "issue:4194", + "accept": false, + "reason": "LoRA unloading with XFormers and from_single_file VAE behavior are separate issues." + }, + { + "left": "issue:3963", + "right": "issue:4665", + "accept": false, + "reason": "Both touch Windows/model loading, but one is auto-download behavior and the other is safetensors/bin selection." + }, + { + "left": "issue:5320", + "right": "issue:5341", + "accept": false, + "reason": "One is an API enhancement request and the other is an example-script update; not the same underlying problem." + }, + { + "left": "issue:11448", + "right": "issue:8637", + "accept": false, + "reason": "Different missing-model/import errors in unrelated features." + }, + { + "left": "issue:1524", + "right": "issue:5877", + "accept": false, + "reason": "Poor training quality in textual inversion is not the same as subprocess failures in training scripts." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the one accepted soft edge (issue:12436 vs issue:12483) is conservative and well supported by the titles. The other soft verdicts are also cautious and appropriately treat only loosely similar items as non-duplicates." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 196, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10016", + "issue:10210", + "issue:10511", + "issue:1060", + "issue:1082", + "issue:10883", + "issue:10886", + "issue:10887", + "issue:10987", + "issue:11410", + "issue:11700", + "issue:12367", + "issue:2052", + "issue:2437", + "issue:3043", + "issue:3112", + "issue:3140", + "issue:3467", + "issue:3537", + "issue:3647", + "issue:3699", + "issue:4407", + "issue:4418", + "issue:4648", + "issue:4702", + "issue:4830", + "issue:4935", + "issue:5022", + "issue:5118", + "issue:5476", + "issue:5968", + "issue:6234", + "issue:6287", + "issue:6560", + "issue:7003", + "issue:7043", + "issue:7191", + "issue:7350", + "issue:7418", + "issue:743", + "issue:8234", + "issue:8809", + "issue:8837", + "issue:9101", + "issue:9147", + "issue:9171", + "issue:9933", + "issue:9958" + ], + "soft_pairs": [ + "issue:3699|issue:4418", + "issue:3140|issue:7191", + "issue:3112|issue:5118", + "issue:10016|issue:7003", + "issue:10210|issue:8809", + "issue:4830|issue:8234", + "issue:5968|issue:9101", + "issue:7418|issue:8837", + "issue:6560|issue:9171", + "issue:1060|issue:743", + "issue:5022|issue:9147", + "issue:10511|issue:10883", + "issue:10886|issue:10987", + "issue:10887|issue:11700", + "issue:11410|issue:9933", + "issue:12367|issue:9958", + "issue:2052|issue:3467", + "issue:2437|issue:3043", + "issue:3537|issue:4702", + "issue:4407|issue:4648", + "issue:4935|issue:7350", + "issue:5476|issue:7043", + "issue:6234|issue:6287", + "issue:1082|issue:3647" + ], + "prepared_review_unit_hash": "2458455e20ce43a551ea0483a4ca1cf505dcb259c188622781a72ff3d5ab23cf", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34103, + "estimated_input_tokens": 8526, + "estimated_eval_tokens": 17308 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft edges are all false positives: these issues span unrelated bugs, features, and scripts, with only superficial keyword overlap. No duplicate cluster is evident, so there is no safe canonical item to collapse to.", + "confidence": 0.92, + "canonical_issue_reason": "No true duplicate cluster is apparent; the linked issues are mostly unrelated, so choosing a canonical issue would be arbitrary.", + "canonical_pr_reason": null, + "best_issue_reason": "No single issue cleanly represents this set as a whole because the items cover different models, pipelines, scripts, and error classes.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3699", + "right": "issue:4418", + "accept": false, + "reason": "Different problems: macOS CUDA availability error vs SDXL inpaint denoising_start behavior." + }, + { + "left": "issue:3140", + "right": "issue:7191", + "accept": false, + "reason": "Both are import-related, but one is a missing StableDiffusionControlNetPipeline import and the other is an unspecified strange import problem." + }, + { + "left": "issue:3112", + "right": "issue:5118", + "accept": false, + "reason": "Multi-ControlNet inpainting and ControlNet reference_only are different features/problems." + }, + { + "left": "issue:10016", + "right": "issue:7003", + "accept": false, + "reason": "Both mention shape mismatches, but they involve different models and code paths: SD3.5 single-file loading vs StableDiffusionInpaintPipeline." + }, + { + "left": "issue:10210", + "right": "issue:8809", + "accept": false, + "reason": "Flux img2img near-identical output is unrelated to feedforward output inconsistency with sequence length." + }, + { + "left": "issue:4830", + "right": "issue:8234", + "accept": false, + "reason": "Wrong tensor size in MultiControlNet is not the same as ip_adapter_scale dict multiplication error." + }, + { + "left": "issue:5968", + "right": "issue:9101", + "accept": false, + "reason": "ONNX conversion for text/video pipelines is unrelated to an SD3 InstructPix2Pix training script request." + }, + { + "left": "issue:7418", + "right": "issue:8837", + "accept": false, + "reason": "A bug in a community upscale script is different from a sliced attention processor bug." + }, + { + "left": "issue:6560", + "right": "issue:9171", + "accept": false, + "reason": "LoRA shape regression and SD1.5 v_prediction single-file loading are distinct loading/training issues." + }, + { + "left": "issue:1060", + "right": "issue:743", + "accept": false, + "reason": "Conversion-script safety-checker failure and general ckpt-to-diffusers conversion failure are not the same underlying bug." + }, + { + "left": "issue:5022", + "right": "issue:9147", + "accept": false, + "reason": "Undefined PreTrainedTokenizer import and Flux autopipeline error are unrelated import/runtime issues." + }, + { + "left": "issue:10511", + "right": "issue:10883", + "accept": false, + "reason": "Scheduler redesign for SD3/Flux is not the same as a Marigold model/pipeline update." + }, + { + "left": "issue:10886", + "right": "issue:10987", + "accept": false, + "reason": "Time series diffusion and spatio-temporal diffusion are adjacent ideas, but not the same bug or change request." + }, + { + "left": "issue:10887", + "right": "issue:11700", + "accept": false, + "reason": "Missing StableDiffusionXLTrainer import is unrelated to pruna integration for model loading." + }, + { + "left": "issue:11410", + "right": "issue:9933", + "accept": false, + "reason": "Attention processor unpacking error is a different code-path from missing width/height parameters in SD3 img2img." + }, + { + "left": "issue:12367", + "right": "issue:9958", + "accept": false, + "reason": "Qwen-Image Lora support and AutoencoderKLTemporalDecoder tiling are unrelated feature requests." + }, + { + "left": "issue:2052", + "right": "issue:3467", + "accept": false, + "reason": "Both concern resuming training, but they affect different scripts and failure modes." + }, + { + "left": "issue:2437", + "right": "issue:3043", + "accept": false, + "reason": "T2I-Adapter pipeline and ODISE are different pipeline additions, not duplicates." + }, + { + "left": "issue:3537", + "right": "issue:4702", + "accept": false, + "reason": "ControlNet conversion tooling and a VQ-VAE training example are unrelated." + }, + { + "left": "issue:4407", + "right": "issue:4648", + "accept": false, + "reason": "Local hub download storage and missing config.json loading errors are different issues." + }, + { + "left": "issue:4935", + "right": "issue:7350", + "accept": false, + "reason": "LoRA layer usage in an SDXL training script is not the same as initializing ControlNet from a UNet with LoRA." + }, + { + "left": "issue:5476", + "right": "issue:7043", + "accept": false, + "reason": "xformers loading compatibility and DreamBooth custom captions are unrelated." + }, + { + "left": "issue:6234", + "right": "issue:6287", + "accept": false, + "reason": "An example training script issue and unused setup dependencies are not the same bug." + }, + { + "left": "issue:1082", + "right": "issue:3647", + "accept": false, + "reason": "DreamBooth CUDA execution failure and DreamBooth with DeepFloyd are different problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 197, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10003", + "issue:10382", + "issue:10893", + "issue:11221", + "issue:11468", + "issue:11555", + "issue:11574", + "issue:12113", + "issue:12754", + "issue:1290", + "issue:1530", + "issue:1919", + "issue:2091", + "issue:2185", + "issue:2552", + "issue:2661", + "issue:2662", + "issue:3085", + "issue:3162", + "issue:3647", + "issue:3788", + "issue:4321", + "issue:4529", + "issue:4830", + "issue:4975", + "issue:5037", + "issue:5233", + "issue:556", + "issue:5737", + "issue:5791", + "issue:5897", + "issue:5989", + "issue:6016", + "issue:6218", + "issue:6666", + "issue:7405", + "issue:7460", + "issue:8647", + "issue:8831", + "issue:8970", + "issue:9171", + "issue:9181", + "issue:9227", + "issue:9370", + "issue:9464", + "issue:9479", + "issue:9894" + ], + "soft_pairs": [ + "issue:10003|issue:9479", + "issue:2185|issue:2552", + "issue:1530|issue:3162", + "issue:6218|issue:9181", + "issue:4830|issue:5233", + "issue:11574|issue:12113", + "issue:5737|issue:6016", + "issue:3788|issue:7405", + "issue:10382|issue:9370", + "issue:11221|issue:11468", + "issue:4975|issue:8831", + "issue:10893|issue:9894", + "issue:5989|issue:7460", + "issue:1919|issue:3647", + "issue:1290|issue:556", + "issue:4321|issue:8970", + "issue:8647|issue:9171", + "issue:5037|issue:6666", + "issue:2091|issue:2661", + "issue:2091|issue:2662", + "issue:5791|issue:5897", + "issue:3085|issue:4529", + "issue:11555|issue:12754", + "issue:9227|issue:9464" + ], + "prepared_review_unit_hash": "c554dfbd4304a64593618c6a55bee41881867c3025391f340b7e02386d1777ac", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33536, + "estimated_input_tokens": 8384, + "estimated_eval_tokens": 17024 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly unrelated issues, but it does contain at least two strong duplicate pockets: VQDiffusion `learned_classifier_free_sampling_embeddings` (1530/3162) and checkpoint write-error reports (2661/2662).", + "confidence": 0.89, + "canonical_issue_reason": "issue:2662 is the best canonical issue for the checkpoint-write-error duplicate pocket because it is the more generic member of the 2661/2662 pair; issue:3162 is a separate duplicate pocket, not the same thread.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2662 is the clearest single representative in the cluster: it belongs to a near-identical duplicate pair with an almost matching body and a generic title.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10003", + "right": "issue:9479", + "accept": false, + "reason": "Both are Stable Diffusion bugs, but the scheduler failure and inpaint mask issue are different code paths and symptoms." + }, + { + "left": "issue:2185", + "right": "issue:2552", + "accept": false, + "reason": "Training config files vs. a tutorial question; unrelated." + }, + { + "left": "issue:1530", + "right": "issue:3162", + "accept": true, + "reason": "Same underlying `learned_classifier_free_sampling_embeddings` VQDiffusion bug; these read like duplicate reports of the same failure." + }, + { + "left": "issue:6218", + "right": "issue:9181", + "accept": false, + "reason": "Both touch ControlNet pipelines, but the errors are different and do not point to the same bug." + }, + { + "left": "issue:4830", + "right": "issue:5233", + "accept": false, + "reason": "MultiControlNet tensor-size issue vs. callback step-value bug; different problems." + }, + { + "left": "issue:11574", + "right": "issue:12113", + "accept": false, + "reason": "A VAE KeyError and a Wan video channel-mismatch error are different failures." + }, + { + "left": "issue:5737", + "right": "issue:6016", + "accept": false, + "reason": "Same converter script family, but the reported errors differ and there is no clear shared root cause." + }, + { + "left": "issue:3788", + "right": "issue:7405", + "accept": false, + "reason": "Two different new-model/pipeline requests, not the same change." + }, + { + "left": "issue:10382", + "right": "issue:9370", + "accept": false, + "reason": "Different components and exceptions: VAE return-type mismatch vs. missing `pooled_projection`." + }, + { + "left": "issue:11221", + "right": "issue:11468", + "accept": false, + "reason": "Training non-convergence question vs. float8 quantization discussion; unrelated." + }, + { + "left": "issue:4975", + "right": "issue:8831", + "accept": false, + "reason": "LoRA performance inefficiency vs. unsupported-layer continuation; not the same bug." + }, + { + "left": "issue:10893", + "right": "issue:9894", + "accept": false, + "reason": "Different feature requests for different models/components." + }, + { + "left": "issue:5989", + "right": "issue:7460", + "accept": false, + "reason": "Unrelated library bug report vs. AdaLayerNorm bug." + }, + { + "left": "issue:1919", + "right": "issue:3647", + "accept": false, + "reason": "Dreambooth requirements issue vs. DeepFloyd training question; different problems." + }, + { + "left": "issue:1290", + "right": "issue:556", + "accept": false, + "reason": "Community project request vs. seamless-tiling feature; unrelated." + }, + { + "left": "issue:4321", + "right": "issue:8970", + "accept": false, + "reason": "Both mention black images, but on different backends/models and with different likely causes." + }, + { + "left": "issue:8647", + "right": "issue:9171", + "accept": false, + "reason": "Different pipeline errors: NoneType iteration vs. single-file v_prediction regression." + }, + { + "left": "issue:5037", + "right": "issue:6666", + "accept": false, + "reason": "Validation-image argument error vs. black validation images; not the same bug." + }, + { + "left": "issue:2091", + "right": "issue:2661", + "accept": false, + "reason": "Checkpoint resume/multi-GPU issue vs. checkpoint write error; different failure modes." + }, + { + "left": "issue:2091", + "right": "issue:2662", + "accept": false, + "reason": "Checkpoint resume/multi-GPU issue vs. checkpoint write error; different failure modes." + }, + { + "left": "issue:5791", + "right": "issue:5897", + "accept": false, + "reason": "Dreambooth hyperparameter interaction vs. LoRA device mismatch; unrelated." + }, + { + "left": "issue:3085", + "right": "issue:4529", + "accept": false, + "reason": "Versioned API change vs. unexpected keyword in LoRA loading; different problems." + }, + { + "left": "issue:11555", + "right": "issue:12754", + "accept": false, + "reason": "`device_map=\"auto\"` support question vs. `from_pipe` dtype default behavior; unrelated." + }, + { + "left": "issue:9227", + "right": "issue:9464", + "accept": false, + "reason": "Same training script family, but different errors and triggers; not enough evidence of one underlying bug." + }, + { + "left": "issue:2661", + "right": "issue:2662", + "accept": true, + "reason": "Near-identical checkpoint write-error reports with essentially the same body; the titles differ only in specificity." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The pair-level verdicts are mostly conservative, but the summary overstates uniqueness: the packet also contains a very strong duplicate-looking checkpoint pair, issue:2661 and issue:2662, which makes \"only the VQDiffusion reports look like true duplicates\" too strong. Because the cluster is not grounded to a single duplicate pair, I can\u2019t accept this as precise enough." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 198, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:10639", + "issue:10772", + "issue:11010", + "issue:11093", + "issue:11182", + "issue:11298", + "issue:1140", + "issue:11561", + "issue:11653", + "issue:11749", + "issue:12359", + "issue:12695", + "issue:12752", + "issue:1290", + "issue:13279", + "issue:13350", + "issue:13416", + "issue:1434", + "issue:1934", + "issue:1962", + "issue:2891", + "issue:3431", + "issue:3455", + "issue:3891", + "issue:4149", + "issue:4159", + "issue:4363", + "issue:4436", + "issue:4782", + "issue:4949", + "issue:5485", + "issue:5576", + "issue:5607", + "issue:5889", + "issue:6132", + "issue:6493", + "issue:6688", + "issue:7080", + "issue:7219", + "issue:7390", + "issue:7670", + "issue:8850", + "issue:8900", + "issue:9090", + "issue:9164", + "issue:9464", + "issue:9744" + ], + "soft_pairs": [ + "issue:11093|issue:8850", + "issue:7390|issue:8900", + "issue:4363|issue:4436", + "issue:5889|issue:9744", + "issue:3891|issue:7219", + "issue:1434|issue:2891", + "issue:11298|issue:11653", + "issue:1140|issue:1290", + "issue:1962|issue:4949", + "issue:11010|issue:12359", + "issue:11749|issue:9090", + "issue:9164|issue:9464", + "issue:5485|issue:7080", + "issue:10100|issue:11561", + "issue:10772|issue:12695", + "issue:6132|issue:6688", + "issue:13350|issue:13416", + "issue:3455|issue:7670", + "issue:4149|issue:5607", + "issue:11182|issue:13279", + "issue:3891|issue:6688", + "issue:3431|issue:4782", + "issue:5576|issue:6493", + "issue:1934|issue:4159", + "issue:10639|issue:12752" + ], + "prepared_review_unit_hash": "d522bbc2732d0c8d8d7cc7d51c798de92338817d4208a1688a05526d8ad9eaec", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33470, + "estimated_input_tokens": 8368, + "estimated_eval_tokens": 16992 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated model-support and bug-report issues. None of the soft pairs looks like the same concrete underlying bug/change, so I rejected all of them.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:7390 is the most concrete, actionable bug report here: it describes a specific reproducible loader error path, unlike the broader feature/support requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11093", + "right": "issue:8850", + "accept": false, + "reason": "Both mention broken examples/pipelines, but they target different code paths and failure modes." + }, + { + "left": "issue:7390", + "right": "issue:8900", + "accept": false, + "reason": "Both involve `from_single_file`, but one is a specific ControlNet inpaint error and the other is a general loading/how-to question for a different checkpoint." + }, + { + "left": "issue:4363", + "right": "issue:4436", + "accept": false, + "reason": "Related loading/conversion topic, but one asks how to load a specific SDXL safetensors file while the other is about converting CIVITAI safetensors with VAE." + }, + { + "left": "issue:5889", + "right": "issue:9744", + "accept": false, + "reason": "Different video-model requests: Stable Video Diffusion vs Mochi Video Model." + }, + { + "left": "issue:3891", + "right": "issue:7219", + "accept": false, + "reason": "Both are pipeline feature requests, but for unrelated models/features (Tortoise TTS vs SUPIR upscaler)." + }, + { + "left": "issue:1434", + "right": "issue:2891", + "accept": false, + "reason": "Same pipeline family, but one is an OOM bug and the other is an embeds-support/docs mismatch." + }, + { + "left": "issue:11298", + "right": "issue:11653", + "accept": false, + "reason": "Both are LoRA-loading problems, but they concern different model families and different key-error scenarios." + }, + { + "left": "issue:1140", + "right": "issue:1290", + "accept": false, + "reason": "Community feature requests for different concepts: Hypernetworks vs DreamArtist." + }, + { + "left": "issue:1962", + "right": "issue:4949", + "accept": false, + "reason": "Both are video-related, but they concern different pipelines and capabilities." + }, + { + "left": "issue:11010", + "right": "issue:12359", + "accept": false, + "reason": "One is a model-support/architecture issue, the other is a documentation bug about `guidance_scale`." + }, + { + "left": "issue:11749", + "right": "issue:9090", + "accept": false, + "reason": "Different scheduler bugs with different symptoms and code paths." + }, + { + "left": "issue:9164", + "right": "issue:9464", + "accept": false, + "reason": "Both are Flux DreamBooth training issues, but one is non-convergence and the other is an IndexError with specific flags." + }, + { + "left": "issue:5485", + "right": "issue:7080", + "accept": false, + "reason": "One is batch inference slowness; the other is a training/inference output mismatch." + }, + { + "left": "issue:10100", + "right": "issue:11561", + "accept": false, + "reason": "Different model-support requests: ConsisID vs IP Adapter loading for FluxFillPipeline." + }, + { + "left": "issue:10772", + "right": "issue:12695", + "accept": false, + "reason": "Separate model-support requests for Sana ControlNet and Hunyuan v1.5." + }, + { + "left": "issue:6132", + "right": "issue:6688", + "accept": false, + "reason": "Unrelated requests: PyTorch loadable classes support vs MotionCntrl addition." + }, + { + "left": "issue:13350", + "right": "issue:13416", + "accept": false, + "reason": "Both are usage questions, but they concern different models and different prompting/inference setups." + }, + { + "left": "issue:3455", + "right": "issue:7670", + "accept": false, + "reason": "Different instructional/support topics with no shared underlying bug or change." + }, + { + "left": "issue:4149", + "right": "issue:5607", + "accept": false, + "reason": "Both are tensor-shape errors, but the failing pipelines and triggers are different enough to treat as separate bugs." + }, + { + "left": "issue:11182", + "right": "issue:13279", + "accept": false, + "reason": "Both concern model-loading compatibility, but one is an unnecessary download issue and the other is an older-transformers loading error." + }, + { + "left": "issue:3891", + "right": "issue:6688", + "accept": false, + "reason": "Distinct feature requests in different areas: Tortoise TTS pipeline vs MotionCntrl support." + }, + { + "left": "issue:3431", + "right": "issue:4782", + "accept": false, + "reason": "Both involve inpainting quality/behavior, but one is ControlNet result quality and the other is mask handling correctness." + }, + { + "left": "issue:5576", + "right": "issue:6493", + "accept": false, + "reason": "Same broad scheduler area, but one requests a new scheduler and the other is a FreeNoise pipeline request." + }, + { + "left": "issue:1934", + "right": "issue:4159", + "accept": false, + "reason": "Both are memory-related, but they describe different subsystems and failure contexts." + }, + { + "left": "issue:10639", + "right": "issue:12752", + "accept": false, + "reason": "Different model-support requests: Lumina-Image 2.0 vs Z-Image img2img/inpainting." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 199, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10514", + "issue:10817", + "issue:1156", + "issue:11973", + "issue:12358", + "issue:12574", + "issue:12666", + "issue:13062", + "issue:13429", + "issue:1790", + "issue:2299", + "issue:2319", + "issue:2324", + "issue:2361", + "issue:2646", + "issue:2737", + "issue:2755", + "issue:2891", + "issue:3570", + "issue:4236", + "issue:4524", + "issue:4876", + "issue:4913", + "issue:5034", + "issue:5118", + "issue:5168", + "issue:5197", + "issue:5258", + "issue:5463", + "issue:5656", + "issue:590", + "issue:5981", + "issue:6095", + "issue:6117", + "issue:6132", + "issue:6357", + "issue:713", + "issue:7168", + "issue:7312", + "issue:8410", + "issue:8511", + "issue:8526", + "issue:8593", + "issue:8790", + "issue:9012", + "issue:9161", + "issue:9460" + ], + "soft_pairs": [ + "issue:2737|issue:7312", + "issue:2755|issue:3570", + "issue:4876|issue:5656", + "issue:5118|issue:6132", + "issue:10817|issue:8511", + "issue:10514|issue:12574", + "issue:2891|issue:7168", + "issue:11973|issue:9161", + "issue:2299|issue:5034", + "issue:2361|issue:5197", + "issue:4913|issue:8790", + "issue:5981|issue:6117", + "issue:1156|issue:713", + "issue:5463|issue:6357", + "issue:5118|issue:5168", + "issue:4236|issue:5258", + "issue:12358|issue:13429", + "issue:1790|issue:2324", + "issue:8526|issue:8593", + "issue:9012|issue:9460", + "issue:12666|issue:13062", + "issue:4524|issue:8410", + "issue:2319|issue:590", + "issue:2646|issue:6095" + ], + "prepared_review_unit_hash": "d7dc085bb72ee082d079dfe39af85525882f2deaf5894b962dabfa98a46ced83", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32777, + "estimated_input_tokens": 8195, + "estimated_eval_tokens": 16646 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft-edge pair looks like a true duplicate: the set spans unrelated feature requests, training-script bugs, scheduler issues, and pipeline-specific regressions. I would not merge any of the candidate pairs.", + "confidence": 0.89, + "canonical_issue_reason": "Issue 12574 is the strongest anchor in the set: it describes a concrete, specific pipeline bug with a clear underlying cause (missing control-argument handling for the VACE transformer) and active discussion.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 12574 is the most useful standalone issue for triage because it is precise, actionable, and tied to a real failing code path; the other issues are mostly unrelated support requests or different feature/bug areas.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2737", + "right": "issue:7312", + "accept": false, + "reason": "Different problems: scheduler CLIP guidance support vs AlignProp/direct reward finetuning support." + }, + { + "left": "issue:2755", + "right": "issue:3570", + "accept": false, + "reason": "Unrelated bugs: float16 checkpoint loading vs disabling checkpoint downloading." + }, + { + "left": "issue:4876", + "right": "issue:5656", + "accept": false, + "reason": "LoRA layer std-arg request and community pipeline loader are different changes." + }, + { + "left": "issue:5118", + "right": "issue:6132", + "accept": false, + "reason": "ControlNet reference_only usage question is unrelated to adding LOADABLE_CLASSES." + }, + { + "left": "issue:10817", + "right": "issue:8511", + "accept": false, + "reason": "SD3 control-net support vs SD3 training scripts not unloading text encoders are different code paths." + }, + { + "left": "issue:10514", + "right": "issue:12574", + "accept": false, + "reason": "Sana resolution binning/sample_size issue is unrelated to WanVideoToVideoPipeline control-argument handling." + }, + { + "left": "issue:2891", + "right": "issue:7168", + "accept": false, + "reason": "Docs/runtime mismatch for embeds vs IP-Adapter embed shape handling are different bugs." + }, + { + "left": "issue:11973", + "right": "issue:9161", + "accept": false, + "reason": "Missing required --instance_prompt is a CLI argument bug, not the same as distributed training issues." + }, + { + "left": "issue:2299", + "right": "issue:5034", + "accept": false, + "reason": "Fine-tuned checkpoint support and progress-bar display are unrelated." + }, + { + "left": "issue:2361", + "right": "issue:5197", + "accept": false, + "reason": "Checkpoint-saving crash is not the same as multi-GPU slowdown." + }, + { + "left": "issue:4913", + "right": "issue:8790", + "accept": false, + "reason": "Different requests: a specific ControlNet model addition vs SDXL TensorRT + IP Adapter integration." + }, + { + "left": "issue:5981", + "right": "issue:6117", + "accept": false, + "reason": "Both are scheduler bugs, but they affect different schedulers and different failure modes." + }, + { + "left": "issue:1156", + "right": "issue:713", + "accept": false, + "reason": "Both are vague training errors, but the reports are too generic and not the same underlying bug." + }, + { + "left": "issue:5463", + "right": "issue:6357", + "accept": false, + "reason": "UnboundLocalError in image_latents is unrelated to API-vs-local result differences." + }, + { + "left": "issue:5118", + "right": "issue:5168", + "accept": false, + "reason": "Using controlnet reference_only and ControlNet-XS support are distinct topics." + }, + { + "left": "issue:4236", + "right": "issue:5258", + "accept": false, + "reason": "SDXL refiner text-encoder registration differs from ControlNet inpaint with refiner." + }, + { + "left": "issue:12358", + "right": "issue:13429", + "accept": false, + "reason": "Two separate pipeline-addition requests for different models." + }, + { + "left": "issue:1790", + "right": "issue:2324", + "accept": false, + "reason": "General training question is not the same as Dreambooth instance-data loading failure." + }, + { + "left": "issue:8526", + "right": "issue:8593", + "accept": false, + "reason": "MPS attention scale ineffectiveness and bf16 CPU noise are different device-specific bugs." + }, + { + "left": "issue:9012", + "right": "issue:9460", + "accept": false, + "reason": "Weight-loading error in SD3ControlNetModel is different from allowing lists of SD3ControlNetModel in the pipeline." + }, + { + "left": "issue:12666", + "right": "issue:13062", + "accept": false, + "reason": "Kandinsky 5.0 pipeline availability and onnxruntime-windowsml support are unrelated." + }, + { + "left": "issue:4524", + "right": "issue:8410", + "accept": false, + "reason": "AnimateDiff and TextDiffuser are separate pipeline-support requests." + }, + { + "left": "issue:2319", + "right": "issue:590", + "accept": false, + "reason": "Checkpoint-loader typo and Karras scheduler formula typo are different fixes." + }, + { + "left": "issue:2646", + "right": "issue:6095", + "accept": false, + "reason": "Tiled VAE index error is unrelated to the SVD scheduler failure." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 200, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:10147", + "issue:10231", + "issue:10848", + "issue:10952", + "issue:1099", + "issue:11223", + "issue:11412", + "issue:11435", + "issue:11448", + "issue:11581", + "issue:11721", + "issue:12078", + "issue:12221", + "issue:12367", + "issue:12458", + "issue:12738", + "issue:12995", + "issue:1305", + "issue:13079", + "issue:13162", + "issue:2213", + "issue:2294", + "issue:2310", + "issue:3094", + "issue:3113", + "issue:319", + "issue:321", + "issue:3350", + "issue:4042", + "issue:4232", + "issue:4241", + "issue:4619", + "issue:4815", + "issue:4846", + "issue:4907", + "issue:5545", + "issue:5656", + "issue:6688", + "issue:6866", + "issue:7138", + "issue:8604", + "issue:8832", + "issue:8939", + "issue:8989", + "issue:9511", + "issue:9850", + "issue:9926" + ], + "soft_pairs": [ + "issue:1305|issue:3113", + "issue:6866|issue:9511", + "issue:4619|issue:7138", + "issue:10147|issue:12221", + "issue:11223|issue:13079", + "issue:3350|issue:5545", + "issue:8604|issue:8989", + "issue:10100|issue:6688", + "issue:10231|issue:11435", + "issue:10848|issue:10952", + "issue:4232|issue:4846", + "issue:8939|issue:9850", + "issue:11581|issue:13162", + "issue:11721|issue:8832", + "issue:1099|issue:2294", + "issue:4815|issue:4907", + "issue:12078|issue:12995", + "issue:12367|issue:9926", + "issue:12458|issue:12738", + "issue:2213|issue:3094", + "issue:2310|issue:4042", + "issue:319|issue:321", + "issue:4241|issue:5656", + "issue:11412|issue:11448" + ], + "prepared_review_unit_hash": "7b3bfe1d5ca1c11f05a6a1e10b9d38caaef4d4aff0d7de96ab4add86a1fb57ed", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33878, + "estimated_input_tokens": 8470, + "estimated_eval_tokens": 17196 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No duplicate cluster emerges here: the soft pairs are mostly superficial title matches across different models, APIs, or feature requests. I reject all soft edges as they do not describe the same underlying bug/change.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue is appropriate because the items are heterogeneous and none of the soft pairs is a true duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "If forced to pick a representative issue, issue:10848 is the most concrete and actionable bug report, but it is still not a global duplicate hub for this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1305", + "right": "issue:3113", + "accept": false, + "reason": "Both are image-editing/control research topics, but they describe different methods and different requests; not the same bug/change." + }, + { + "left": "issue:6866", + "right": "issue:9511", + "accept": false, + "reason": "One asks for IP-Adapter support in an SDXL inpaint pipeline, the other for multi-controlnet batching; related subsystem, different feature." + }, + { + "left": "issue:4619", + "right": "issue:7138", + "accept": false, + "reason": "Different problems: a dtype/bias mismatch during LoRA training vs an SDXL UNet structure mismatch with the official model." + }, + { + "left": "issue:10147", + "right": "issue:12221", + "accept": false, + "reason": "Both are feature requests for model support, but for different adapters/control methods and different code paths." + }, + { + "left": "issue:11223", + "right": "issue:13079", + "accept": false, + "reason": "Both mention OOM, but the models, triggers, and failure modes differ; not the same concrete memory bug." + }, + { + "left": "issue:3350", + "right": "issue:5545", + "accept": false, + "reason": "Different pipelines and different errors; no shared underlying code-path problem is shown." + }, + { + "left": "issue:8604", + "right": "issue:8989", + "accept": false, + "reason": "T5 float16 corruption is a text-encoder precision bug; sequential offloading in Stable Audio is a separate runtime issue." + }, + { + "left": "issue:10100", + "right": "issue:6688", + "accept": false, + "reason": "Both are support requests for new capabilities, but for different models/features and not a single change request." + }, + { + "left": "issue:10231", + "right": "issue:11435", + "accept": false, + "reason": "Both are import errors, but they concern different tutorials/pipelines and different missing symbols." + }, + { + "left": "issue:10848", + "right": "issue:10952", + "accept": false, + "reason": "Different adapter-loading failures: unexpected 'device' kwarg vs adapter-name lookup mismatch." + }, + { + "left": "issue:4232", + "right": "issue:4846", + "accept": false, + "reason": "Training/inference support for instruct-pix2pix with controlnet is unrelated to a strange DreamBooth training result." + }, + { + "left": "issue:8939", + "right": "issue:9850", + "accept": false, + "reason": "Tokenizer loading failure for SD3 is unrelated to gradient checkpointing with a frozen model." + }, + { + "left": "issue:11581", + "right": "issue:13162", + "accept": false, + "reason": "One is an IP-Adapter dtype initialization error in FLUX; the other is a LoRA support feature request for Flux.2-klein-4b." + }, + { + "left": "issue:11721", + "right": "issue:8832", + "accept": false, + "reason": "Generic crashes, but on different pipelines and likely different root causes; not mergeable as one fix." + }, + { + "left": "issue:1099", + "right": "issue:2294", + "accept": false, + "reason": "Dreambooth class-name issue and missing StableDiffusionVideoInpaintPipeline import are unrelated." + }, + { + "left": "issue:4815", + "right": "issue:4907", + "accept": false, + "reason": "Latents-only input support vs an inpainting model warning are different issues." + }, + { + "left": "issue:12078", + "right": "issue:12995", + "accept": false, + "reason": "Flux Control finetuning validation input problem is unrelated to Cosmos-Predict2.5 video behavior." + }, + { + "left": "issue:12367", + "right": "issue:9926", + "accept": false, + "reason": "Qwen-Image LoRA support and gguf quantize/speed-up support are separate feature requests." + }, + { + "left": "issue:12458", + "right": "issue:12738", + "accept": false, + "reason": "Both involve batch inference, but for different Qwen/ZImage pipelines and different concrete failures." + }, + { + "left": "issue:2213", + "right": "issue:3094", + "accept": false, + "reason": "TPU distributed hang vs CUDA OOM during finetuning are different training bugs." + }, + { + "left": "issue:2310", + "right": "issue:4042", + "accept": false, + "reason": "LDM inpainting/LaMA cleaner question is not the same as combining reference-only with inpainting and depth control." + }, + { + "left": "issue:319", + "right": "issue:321", + "accept": false, + "reason": "These are different diffusion models/papers, not duplicates." + }, + { + "left": "issue:4241", + "right": "issue:5656", + "accept": false, + "reason": "A request to fine-tune unidiffusers with LoRA is different from adding a LoRA loader to community pipelines." + }, + { + "left": "issue:11412", + "right": "issue:11448", + "accept": false, + "reason": "Both are 404/missing model artifacts, but they point to different repositories/models and do not share a single fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 201, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10191", + "issue:10550", + "issue:10817", + "issue:10928", + "issue:11222", + "issue:11275", + "issue:11279", + "issue:11283", + "issue:11555", + "issue:11709", + "issue:12567", + "issue:13043", + "issue:13176", + "issue:1358", + "issue:1633", + "issue:1896", + "issue:1934", + "issue:2310", + "issue:2437", + "issue:2462", + "issue:2471", + "issue:2560", + "issue:3140", + "issue:3209", + "issue:3289", + "issue:3467", + "issue:4061", + "issue:4073", + "issue:4269", + "issue:4286", + "issue:4580", + "issue:4619", + "issue:4750", + "issue:4839", + "issue:5002", + "issue:5314", + "issue:5573", + "issue:5594", + "issue:5927", + "issue:6688", + "issue:7789", + "issue:7842", + "issue:852", + "issue:8649", + "issue:9026", + "issue:9138", + "issue:940", + "issue:9637" + ], + "soft_pairs": [ + "issue:11275|issue:9026", + "issue:3467|issue:5573", + "issue:4580|issue:5002", + "issue:13043|issue:13176", + "issue:7789|issue:7842", + "issue:10928|issue:13176", + "issue:11709|issue:12567", + "issue:1633|issue:5594", + "issue:2437|issue:6688", + "issue:10550|issue:11279", + "issue:2560|issue:3209", + "issue:1358|issue:2462", + "issue:4619|issue:4839", + "issue:3289|issue:4073", + "issue:4061|issue:4286", + "issue:3140|issue:4269", + "issue:10817|issue:8649", + "issue:10191|issue:9637", + "issue:2310|issue:5314", + "issue:4750|issue:5927", + "issue:11555|issue:9138", + "issue:1934|issue:3209", + "issue:1896|issue:2471", + "issue:11222|issue:11283", + "issue:852|issue:940" + ], + "prepared_review_unit_hash": "7aefc0d1a3ce264910f57c323c40fd229c6ca6ebd9f2435a30f923fd040edff5", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34019, + "estimated_input_tokens": 8505, + "estimated_eval_tokens": 17266 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pairs look like true duplicates; the set spans unrelated bugs, feature requests, and backend-specific failures. I would not merge any of the proposed pairs.", + "confidence": 0.96, + "canonical_issue_reason": "Issue #11279 is the broadest open thread in the set and the closest thing to a representative issue, but it is still not a duplicate of the soft-pair candidates.", + "canonical_pr_reason": null, + "best_issue_reason": "#11279 is the best global issue candidate because it is open and comparatively broad; the rest are much more specific and do not share a single underlying bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11275", + "right": "issue:9026", + "accept": false, + "reason": "Different failures: VAE NoneType addition vs an unexpected kwarg in checkpoint dispatch." + }, + { + "left": "issue:3467", + "right": "issue:5573", + "accept": false, + "reason": "Both mention ControlNet, but one is about wrong resume step and the other about long weight initialization." + }, + { + "left": "issue:4580", + "right": "issue:5002", + "accept": false, + "reason": "Scheduler/Karras-sigmas related, but these are different scheduler classes and different concrete bugs." + }, + { + "left": "issue:13043", + "right": "issue:13176", + "accept": false, + "reason": "Different attention-backend/device errors with no shared code-path shown." + }, + { + "left": "issue:7789", + "right": "issue:7842", + "accept": false, + "reason": "One is an MPS float32 requirement; the other is a DeepFloyd shape mismatch on non-divisible image sizes." + }, + { + "left": "issue:10928", + "right": "issue:13176", + "accept": false, + "reason": "Missing model file error vs an attention runtime error; unrelated failures." + }, + { + "left": "issue:11709", + "right": "issue:12567", + "accept": false, + "reason": "LoRA key-loading issue vs Ulysses attention noise generation; different subsystems and symptoms." + }, + { + "left": "issue:1633", + "right": "issue:5594", + "accept": false, + "reason": "Karras sigma support in a scheduler wrapper vs SDXL LoRA memory usage; unrelated changes." + }, + { + "left": "issue:2437", + "right": "issue:6688", + "accept": false, + "reason": "Separate feature requests for different pipelines, not the same change." + }, + { + "left": "issue:10550", + "right": "issue:11279", + "accept": false, + "reason": "Quantized LoRA loading problem vs partial model initialization behavior; not the same bug." + }, + { + "left": "issue:2560", + "right": "issue:3209", + "accept": false, + "reason": "Determinism bug with generator lists vs NaNs in AutoencoderKL on large images." + }, + { + "left": "issue:1358", + "right": "issue:2462", + "accept": false, + "reason": "Safetensors support vs IterableDataset training support; unrelated." + }, + { + "left": "issue:4619", + "right": "issue:4839", + "accept": false, + "reason": "Mixed-precision training type mismatch vs a lora_scale type error." + }, + { + "left": "issue:3289", + "right": "issue:4073", + "accept": false, + "reason": "DeepFloyd super-resolution size bug vs a safety-checker astype attribute error." + }, + { + "left": "issue:4061", + "right": "issue:4286", + "accept": false, + "reason": "Both are SDXL LoRA loading complaints, but the titles do not indicate the same concrete failure." + }, + { + "left": "issue:3140", + "right": "issue:4269", + "accept": false, + "reason": "Import error for the pipeline class vs a TypeError inside check_inputs." + }, + { + "left": "issue:10817", + "right": "issue:8649", + "accept": false, + "reason": "Different SD3 problems: missing ControlNets vs num_images_per_prompt handling." + }, + { + "left": "issue:10191", + "right": "issue:9637", + "accept": false, + "reason": "GPU selection/training device issue vs an XFormers attention-mask/bfloat16 kernel failure." + }, + { + "left": "issue:2310", + "right": "issue:5314", + "accept": false, + "reason": "Both are inpainting-related, but one is about LDM/Lama cleaning and the other is a ControlNet reference pipeline." + }, + { + "left": "issue:4750", + "right": "issue:5927", + "accept": false, + "reason": "Overlapping inpaint/Lama wording, but these are distinct composite pipeline requests." + }, + { + "left": "issue:11555", + "right": "issue:9138", + "accept": false, + "reason": "Device_map support question vs an unrelated int/str comparison TypeError." + }, + { + "left": "issue:1934", + "right": "issue:3209", + "accept": false, + "reason": "Memory offload regression vs NaNs on large images; different code paths." + }, + { + "left": "issue:1896", + "right": "issue:2471", + "accept": false, + "reason": "Different pipeline-specific size errors, not the same bug." + }, + { + "left": "issue:11222", + "right": "issue:11283", + "accept": false, + "reason": "Feature request for more WAN LoRAs vs a Wan header deserialization error." + }, + { + "left": "issue:852", + "right": "issue:940", + "accept": false, + "reason": "Both are MPS crashes, but they affect different APIs and failure modes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 202, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10111", + "issue:10636", + "issue:1106", + "issue:11644", + "issue:12195", + "issue:12574", + "issue:13477", + "issue:1543", + "issue:2185", + "issue:2310", + "issue:2437", + "issue:3073", + "issue:3221", + "issue:3576", + "issue:3643", + "issue:3975", + "issue:4210", + "issue:4445", + "issue:460", + "issue:4646", + "issue:4750", + "issue:4801", + "issue:5225", + "issue:5395", + "issue:5480", + "issue:5656", + "issue:5777", + "issue:5989", + "issue:6110", + "issue:6243", + "issue:6359", + "issue:7049", + "issue:746", + "issue:7695", + "issue:817", + "issue:8320", + "issue:8432", + "issue:8493", + "issue:8604", + "issue:8742", + "issue:8752", + "issue:8837", + "issue:911", + "issue:9297", + "issue:9358", + "issue:9464", + "issue:9822", + "issue:9930" + ], + "soft_pairs": [ + "issue:1106|issue:3221", + "issue:2437|issue:6243", + "issue:460|issue:746", + "issue:5395|issue:9297", + "issue:3975|issue:5989", + "issue:4210|issue:5225", + "issue:8432|issue:8742", + "issue:7049|issue:7695", + "issue:460|issue:4646", + "issue:9358|issue:9464", + "issue:11644|issue:8493", + "issue:10111|issue:9822", + "issue:12195|issue:8320", + "issue:2185|issue:911", + "issue:3576|issue:3643", + "issue:10636|issue:8837", + "issue:8604|issue:9930", + "issue:6110|issue:8752", + "issue:2310|issue:4750", + "issue:3073|issue:5480", + "issue:4445|issue:5656", + "issue:5777|issue:6359", + "issue:1543|issue:746", + "issue:4801|issue:817", + "issue:12574|issue:13477" + ], + "prepared_review_unit_hash": "1c64e866af1b7e0f52adbdc34bee5a0a39e20f8e7afd7b6040894041f399062a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33873, + "estimated_input_tokens": 8469, + "estimated_eval_tokens": 17194 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose collection of mostly unrelated issues across different pipelines/features; none of the soft pairs look like true duplicates or the same code change. The closest thematic group is FLUX-related training/inference bugs, but even those are distinct failures.", + "confidence": 0.79, + "canonical_issue_reason": "issue:10111 is the broadest umbrella title and best fits the cluster\u2019s mixed FLUX/pipeline-bug theme, even though the set is not a tight duplicate group.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10111 is the most representative and reusable triage anchor because it captures the broad FLUX pipeline bug category without being tied to one narrow repro.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1106", + "right": "issue:3221", + "accept": false, + "reason": "Different subsystems and failure modes: PNDM extra UNet calls vs load_attn_procs behavior in diffusers 0.16.0." + }, + { + "left": "issue:2437", + "right": "issue:6243", + "accept": false, + "reason": "T2I-Adapter pipeline request and IP-Adapter Face ID issue are unrelated feature areas, not the same bug." + }, + { + "left": "issue:460", + "right": "issue:746", + "accept": false, + "reason": "Both are ONNX-related but one is runtime dependency selection and the other is revision loading for img2img; different problems." + }, + { + "left": "issue:5395", + "right": "issue:9297", + "accept": false, + "reason": "Both involve LoRAs, but one is PEFT combining civitai LoRAs and the other is linear load-time scaling for multiple LoRAs." + }, + { + "left": "issue:3975", + "right": "issue:5989", + "accept": false, + "reason": "A typo in an error message and a safetensors.torch bug are not the same underlying issue." + }, + { + "left": "issue:4210", + "right": "issue:5225", + "accept": false, + "reason": "UNet attention_mask usage question and SDXL VRAM exhaustion are unrelated." + }, + { + "left": "issue:8432", + "right": "issue:8742", + "accept": false, + "reason": "ImportError for FromOriginalVAEMixin and removal of LoRAAttnProcessor2_0 are distinct API compatibility issues." + }, + { + "left": "issue:7049", + "right": "issue:7695", + "accept": false, + "reason": "IP-Adapter unpacking error and ignored ip_adapter_masks in AttnProcessor2_0 are different code paths and symptoms." + }, + { + "left": "issue:460", + "right": "issue:4646", + "accept": false, + "reason": "ONNX CPU/CUDA dependency selection is different from ControlNet-to-ONNX conversion failure." + }, + { + "left": "issue:9358", + "right": "issue:9464", + "accept": false, + "reason": "Both are FLUX training issues, but one is redundant text-encoder reinit and the other is an IndexError with prodigy + train_text_encoder." + }, + { + "left": "issue:11644", + "right": "issue:8493", + "accept": false, + "reason": "LTXConditionPipeline init-from-pretrained failure is unrelated to SD3Transformer2DModel state_dict loading." + }, + { + "left": "issue:10111", + "right": "issue:9822", + "accept": false, + "reason": "Generic FLUX pipeline bugs and loading SDXL LoRAs into Flux are related only by theme, not the same bug." + }, + { + "left": "issue:12195", + "right": "issue:8320", + "accept": false, + "reason": "PyTorch 2.3.1 torch.library.custom_op failure is unrelated to the __name__ attribute error in from_single_file." + }, + { + "left": "issue:2185", + "right": "issue:911", + "accept": false, + "reason": "Missing config files for naive T2I training and Dreambooth bad config are both config-related but not the same issue." + }, + { + "left": "issue:3576", + "right": "issue:3643", + "accept": false, + "reason": "XFormers/Textual Inversion TypeError and latent decoding INT_MAX overflow are different runtime failures." + }, + { + "left": "issue:10636", + "right": "issue:8837", + "accept": false, + "reason": "Bug in value_guided_sampling.py and a sliced attention processor bug are different pipeline components." + }, + { + "left": "issue:8604", + "right": "issue:9930", + "accept": false, + "reason": "Corrupted image from T5 float16 conversion is not the same as PAG adaptive scale behavior." + }, + { + "left": "issue:6110", + "right": "issue:8752", + "accept": false, + "reason": "Offline LoRA loading and offline from_single_file SDXL loading are both offline-related, but they affect different loaders and failures." + }, + { + "left": "issue:2310", + "right": "issue:4750", + "accept": false, + "reason": "LDM inpainting/LAMA cleaner and inpaint + LAMA preprocessor are different feature requests/issues." + }, + { + "left": "issue:3073", + "right": "issue:5480", + "accept": false, + "reason": "Consistency models request and EDM implementation request are separate model-feature requests." + }, + { + "left": "issue:4445", + "right": "issue:5656", + "accept": false, + "reason": "How to finetune LoRA and adding a LoRA loader to community pipelines are not the same bug/change." + }, + { + "left": "issue:5777", + "right": "issue:6359", + "accept": false, + "reason": "PixArt DreamBooth training error and EulerDiscreteScheduler velocity/add_noise bug are unrelated." + }, + { + "left": "issue:1543", + "right": "issue:746", + "accept": false, + "reason": "textual_inversion fp16 revision issue and ONNX img2img revision issue are different loading paths." + }, + { + "left": "issue:4801", + "right": "issue:817", + "accept": false, + "reason": "Mixed precision bug in train_unconditional.py and DreamBooth mixed precision issue are similar category but different examples and code paths." + }, + { + "left": "issue:12574", + "right": "issue:13477", + "accept": false, + "reason": "WanVideoToVideoPipeline control-argument handling and ErnieImage locals() scope bug are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 203, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10003", + "issue:11225", + "issue:11437", + "issue:1274", + "issue:1642", + "issue:1785", + "issue:2306", + "issue:2772", + "issue:3325", + "issue:3453", + "issue:3585", + "issue:3630", + "issue:4314", + "issue:4480", + "issue:4697", + "issue:4789", + "issue:4839", + "issue:4912", + "issue:5160", + "issue:5162", + "issue:5285", + "issue:5300", + "issue:5594", + "issue:5633", + "issue:5925", + "issue:6109", + "issue:6196", + "issue:6357", + "issue:6418", + "issue:6749", + "issue:6818", + "issue:6823", + "issue:7041", + "issue:709", + "issue:730", + "issue:7306", + "issue:7417", + "issue:7766", + "issue:8509", + "issue:852", + "issue:8604", + "issue:8837", + "issue:898", + "issue:911", + "issue:9134", + "issue:9178", + "issue:9479", + "issue:9867" + ], + "soft_pairs": [ + "issue:3453|issue:898", + "issue:9134|issue:9178", + "issue:6109|issue:6196", + "issue:3585|issue:852", + "issue:4480|issue:7417", + "issue:5633|issue:8837", + "issue:6823|issue:8509", + "issue:1274|issue:1785", + "issue:11225|issue:11437", + "issue:3325|issue:4839", + "issue:10003|issue:7041", + "issue:1642|issue:709", + "issue:2306|issue:3630", + "issue:4697|issue:6749", + "issue:4912|issue:5162", + "issue:5160|issue:5594", + "issue:5285|issue:5925", + "issue:5300|issue:6418", + "issue:730|issue:911", + "issue:7306|issue:8604", + "issue:2772|issue:6357", + "issue:4314|issue:4789", + "issue:9479|issue:9867", + "issue:6818|issue:7766" + ], + "prepared_review_unit_hash": "f57983df598675599f35e166614c24cddfef92d54189ed3b6304408084c364cd", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33333, + "estimated_input_tokens": 8334, + "estimated_eval_tokens": 16924 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is noisy and mostly splits into several unrelated bug themes; there is no single defensible canonical duplicate for all items. The strongest concrete bug report is the num_inference_steps crash/segfault pair, but even that is not a safe merge target as a duplicate set.", + "confidence": 0.78, + "canonical_issue_reason": "No single item cleanly serves as a canonical representative for the whole cluster because the items span many different pipelines, features, and failure modes.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:7041 is the clearest concrete runtime failure in the set and the most plausible anchor among the num_inference_steps reports, but the cluster overall is still too heterogeneous for a true canonical duplicate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3453", + "right": "issue:898", + "accept": false, + "reason": "Both mention BFloat16, but the failing code paths and environments differ; this is a shared symptom, not the same bug." + }, + { + "left": "issue:9134", + "right": "issue:9178", + "accept": false, + "reason": "Both are Flux/LoRA-related, but one is about bad training outputs and the other is a PEFT target-module error." + }, + { + "left": "issue:6109", + "right": "issue:6196", + "accept": false, + "reason": "Same ControlNet-XS/depth area, but one is a feature/request-style issue and the other is a concrete load failure." + }, + { + "left": "issue:3585", + "right": "issue:852", + "accept": false, + "reason": "These are different problems: LoRA synthesis failure versus an MPS device_map keyword crash." + }, + { + "left": "issue:4480", + "right": "issue:7417", + "accept": false, + "reason": "Both touch Mac/MPS/fp16, but one is a generation crash and the other is a LoRA fuse test failure." + }, + { + "left": "issue:5633", + "right": "issue:8837", + "accept": false, + "reason": "Only the broad attention/transformer area overlaps; the specific bugs are different." + }, + { + "left": "issue:6823", + "right": "issue:8509", + "accept": false, + "reason": "Both mention ControlNet, but they describe different features and no shared concrete failure." + }, + { + "left": "issue:1274", + "right": "issue:1785", + "accept": false, + "reason": "Both involve num_images_per_prompt, but the affected pipelines and regression contexts differ." + }, + { + "left": "issue:11225", + "right": "issue:11437", + "accept": false, + "reason": "Both are training/validation issues, but one is OOM and the other is missing outputs, so the code-path problem is not the same." + }, + { + "left": "issue:3325", + "right": "issue:4839", + "accept": false, + "reason": "These are unrelated runtime/type errors; the shared theme is only that they occur during model usage." + }, + { + "left": "issue:10003", + "right": "issue:7041", + "accept": false, + "reason": "Both involve num_inference_steps, but one is a scheduler bug at 1000 steps and the other is a segfault for >1 step; not enough to merge." + }, + { + "left": "issue:1642", + "right": "issue:709", + "accept": false, + "reason": "A missing scheduler forward pass and a documentation docstring issue are not the same bug." + }, + { + "left": "issue:2306", + "right": "issue:3630", + "accept": false, + "reason": "Both are vague UNet2DModel errors, but the actual failures described are different and too underspecified to treat as duplicates." + }, + { + "left": "issue:4697", + "right": "issue:6749", + "accept": false, + "reason": "A specific LoRA-loading regression and an InstantID replication issue are different problems." + }, + { + "left": "issue:4912", + "right": "issue:5162", + "accept": false, + "reason": "Both are conversion-related, but they target different conversions and different user workflows." + }, + { + "left": "issue:5160", + "right": "issue:5594", + "accept": false, + "reason": "DreamBooth/LoRA is only a broad area match; masking and memory usage are separate issues." + }, + { + "left": "issue:5285", + "right": "issue:5925", + "accept": false, + "reason": "Documentation translation and ZipLora feature work are unrelated." + }, + { + "left": "issue:5300", + "right": "issue:6418", + "accept": false, + "reason": "Internet connectivity and identical video frames are unrelated bug reports." + }, + { + "left": "issue:730", + "right": "issue:911", + "accept": false, + "reason": "Both are DreamBooth-related, but one is local-vs-Colab learning behavior and the other is a bad config regression." + }, + { + "left": "issue:7306", + "right": "issue:8604", + "accept": false, + "reason": "Both mention float16, but they affect different pipelines and have different failure modes." + }, + { + "left": "issue:2772", + "right": "issue:6357", + "accept": false, + "reason": "A local dataset path validation bug and API/local result differences are not the same issue." + }, + { + "left": "issue:4314", + "right": "issue:4789", + "accept": false, + "reason": "Interrupted-download write protection and inability to download a model are different download-path failures." + }, + { + "left": "issue:9479", + "right": "issue:9867", + "accept": false, + "reason": "Both are inpainting mask-leak bugs, but they are reported on different pipelines and cannot be safely merged without stronger evidence." + }, + { + "left": "issue:6818", + "right": "issue:7766", + "accept": false, + "reason": "An unload error and a how-to question about FaceID Plus are not duplicate bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 204, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10076", + "issue:10147", + "issue:10472", + "issue:10569", + "issue:10848", + "issue:10873", + "issue:10896", + "issue:10932", + "issue:11000", + "issue:1161", + "issue:11721", + "issue:12108", + "issue:1255", + "issue:13488", + "issue:1377", + "issue:1572", + "issue:2149", + "issue:2150", + "issue:2311", + "issue:2444", + "issue:2775", + "issue:305", + "issue:3073", + "issue:3097", + "issue:3769", + "issue:4000", + "issue:4731", + "issue:4808", + "issue:4912", + "issue:4964", + "issue:5091", + "issue:5344", + "issue:5565", + "issue:5576", + "issue:6008", + "issue:6427", + "issue:8518", + "issue:8588", + "issue:8759", + "issue:9026", + "issue:9166", + "issue:917", + "issue:9241", + "issue:9258", + "issue:9602", + "issue:9778", + "issue:987", + "issue:993" + ], + "soft_pairs": [ + "issue:10873|issue:11721", + "issue:3073|issue:5576", + "issue:10147|issue:10896", + "issue:10569|issue:10932", + "issue:10472|issue:8759", + "issue:2311|issue:5576", + "issue:4731|issue:8518", + "issue:9026|issue:9166", + "issue:12108|issue:13488", + "issue:10848|issue:9602", + "issue:2444|issue:2775", + "issue:5091|issue:9258", + "issue:1255|issue:305", + "issue:4808|issue:6008", + "issue:2149|issue:2150", + "issue:4000|issue:4964", + "issue:10076|issue:9241", + "issue:11000|issue:8588", + "issue:1161|issue:4912", + "issue:1377|issue:305", + "issue:3097|issue:993", + "issue:3769|issue:987", + "issue:5344|issue:6427", + "issue:1572|issue:917", + "issue:5565|issue:9778" + ], + "prepared_review_unit_hash": "b1270f4c5c954063c6a8fa5dffdea992117ee37bd627833bfc7b8d2c596b8e86", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34201, + "estimated_input_tokens": 8551, + "estimated_eval_tokens": 17358 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft edge should be accepted here. The SanaPipeline pair (10873/11721) is only title-similar; without body evidence showing the same failure mode, it should remain unresolved as a possible duplicate at most. The rest of the candidates are distinct issues or requests.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:11721 is the strongest standalone representative for the SanaPipeline load/crash theme, but not enough evidence ties it to issue:10873 as the same bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10873", + "right": "issue:11721", + "accept": false, + "reason": "Similar SanaPipeline titles only; the bodies do not establish the same concrete crash or failure mode." + }, + { + "left": "issue:3073", + "right": "issue:5576", + "accept": false, + "reason": "Different feature requests: consistency models vs a new scheduler." + }, + { + "left": "issue:10147", + "right": "issue:10896", + "accept": false, + "reason": "Unrelated model support requests for different pipelines/use cases." + }, + { + "left": "issue:10569", + "right": "issue:10932", + "accept": false, + "reason": "Different HunyuanVideo problems: CPU memory use vs torch.compile recompilation limits." + }, + { + "left": "issue:10472", + "right": "issue:8759", + "accept": false, + "reason": "Different bugs and code paths: lora_bias init error vs image casting warning." + }, + { + "left": "issue:2311", + "right": "issue:5576", + "accept": false, + "reason": "Both scheduler-related, but they concern different schedulers and different changes." + }, + { + "left": "issue:4731", + "right": "issue:8518", + "accept": false, + "reason": "Both involve torch.compile, but they are distinct failures in different model/pipeline paths." + }, + { + "left": "issue:9026", + "right": "issue:9166", + "accept": false, + "reason": "Unrelated regressions: checkpoint dispatch keyword issue vs overlay behavior." + }, + { + "left": "issue:12108", + "right": "issue:13488", + "accept": false, + "reason": "Different regressions: flow-matching scheduler breakage vs offloading breakage." + }, + { + "left": "issue:10848", + "right": "issue:9602", + "accept": false, + "reason": "Adapter-related but different failures: API mismatch vs adapter selection state." + }, + { + "left": "issue:2444", + "right": "issue:2775", + "accept": false, + "reason": "A failing training script is not the same as a torch._dynamo optimize type error." + }, + { + "left": "issue:5091", + "right": "issue:9258", + "accept": false, + "reason": "Different performance/workflow complaints with no shared concrete bug." + }, + { + "left": "issue:1255", + "right": "issue:305", + "accept": false, + "reason": "Similar import error wording, but different missing symbols and likely different fixes." + }, + { + "left": "issue:4808", + "right": "issue:6008", + "accept": false, + "reason": "Different pipelines and failures; only broad testing/model overlap." + }, + { + "left": "issue:2149", + "right": "issue:2150", + "accept": false, + "reason": "Related texture-painting topics, but one is a workflow request and the other an img2img compatibility issue." + }, + { + "left": "issue:4000", + "right": "issue:4964", + "accept": false, + "reason": "Both are conversion-related, but they target different model formats/tasks." + }, + { + "left": "issue:10076", + "right": "issue:9241", + "accept": false, + "reason": "Both are conversion scripts, but for different directions and formats." + }, + { + "left": "issue:11000", + "right": "issue:8588", + "accept": false, + "reason": "Different missing-argument vs missing-file problems in unrelated pipelines." + }, + { + "left": "issue:1161", + "right": "issue:4912", + "accept": false, + "reason": "Different model conversion requests with no shared code-path bug." + }, + { + "left": "issue:1377", + "right": "issue:305", + "accept": false, + "reason": "Import errors, but different missing objects and likely different root causes." + }, + { + "left": "issue:3097", + "right": "issue:993", + "accept": false, + "reason": "Textual inversion no-op and fp16 dtype mismatch are unrelated bugs." + }, + { + "left": "issue:3769", + "right": "issue:987", + "accept": false, + "reason": "Different visual output problems in different pipelines." + }, + { + "left": "issue:5344", + "right": "issue:6427", + "accept": false, + "reason": "Dependency-missing error vs conversion issue; not the same bug." + }, + { + "left": "issue:1572", + "right": "issue:917", + "accept": false, + "reason": "Both involve inpainting, but the backends and failure modes differ." + }, + { + "left": "issue:5565", + "right": "issue:9778", + "accept": false, + "reason": "A specific script failure is not the same as a generic run-tutorial bug." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The overall separation of most pairs is conservative, but the one accepted soft edge is too strong for the packet: issue:10873 and issue:11721 are only linked by similar SanaPipeline titles and soft similarity, with no body evidence showing the same failure mode. This should be framed as a possible duplicate or left undecided, not accepted. Because that verdict overstates the evidence, I can\u2019t accept the cluster summary as written." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 205, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:1013", + "issue:10321", + "issue:10514", + "issue:10520", + "issue:1062", + "issue:10674", + "issue:11033", + "issue:11041", + "issue:11555", + "issue:1185", + "issue:12995", + "issue:1617", + "issue:1708", + "issue:1866", + "issue:199", + "issue:201", + "issue:2202", + "issue:3073", + "issue:3116", + "issue:3162", + "issue:3301", + "issue:3891", + "issue:3974", + "issue:4186", + "issue:4349", + "issue:4676", + "issue:5008", + "issue:5108", + "issue:5840", + "issue:6028", + "issue:6101", + "issue:6688", + "issue:713", + "issue:7223", + "issue:7348", + "issue:7380", + "issue:7460", + "issue:7789", + "issue:7793", + "issue:7836", + "issue:8393", + "issue:8918", + "issue:9170", + "issue:9306", + "issue:9424", + "issue:9895" + ], + "soft_pairs": [ + "issue:1866|issue:3116", + "issue:5008|issue:7380", + "issue:7460|issue:7836", + "issue:7789|issue:7793", + "issue:10100|issue:7223", + "issue:1013|issue:3162", + "issue:1062|issue:1708", + "issue:3073|issue:3891", + "issue:3073|issue:6688", + "issue:10674|issue:9895", + "issue:2202|issue:3974", + "issue:6028|issue:9170", + "issue:10514|issue:11555", + "issue:10321|issue:10520", + "issue:1185|issue:3301", + "issue:11033|issue:12995", + "issue:11041|issue:9306", + "issue:1617|issue:713", + "issue:199|issue:201", + "issue:4349|issue:4676", + "issue:5840|issue:8393", + "issue:8918|issue:9424", + "issue:6101|issue:7348", + "issue:4186|issue:5108" + ], + "prepared_review_unit_hash": "cd0d66c224010e46a06efaf6e7248982a36d0f06e57d5bc5e83c9053118f0a43", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32931, + "estimated_input_tokens": 8233, + "estimated_eval_tokens": 16722 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very heterogeneous: it mixes unrelated feature requests, training-script bugs, scheduler issues, device-placement regressions, and model-support questions. None of the soft edges look like true duplicates of the same underlying bug/change.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out; the items are mostly unrelated, and the apparent similarities are broad subsystem overlap rather than the same concrete problem.", + "canonical_pr_reason": null, + "best_issue_reason": "No good global best issue for deduping: there is no coherent duplicate family across the cluster, so any single issue would be a misleading representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1866", + "right": "issue:3116", + "accept": false, + "reason": "Both involve schedulers in img2img, but they are different scheduler classes with different failure modes." + }, + { + "left": "issue:5008", + "right": "issue:7380", + "accept": false, + "reason": "Different research/model requests; one is TryOnDiffusion implementation, the other is a distillation method." + }, + { + "left": "issue:7460", + "right": "issue:7836", + "accept": false, + "reason": "AdaLayerNorm bug vs CLIP training overfitting are unrelated problems." + }, + { + "left": "issue:7789", + "right": "issue:7793", + "accept": false, + "reason": "Both are DeepFloyd-related, but one is an MPS float32 requirement and the other is a LoRA unload error." + }, + { + "left": "issue:10100", + "right": "issue:7223", + "accept": false, + "reason": "Both request new model support, but ConsisID and Latte are distinct pipelines/changes." + }, + { + "left": "issue:1013", + "right": "issue:3162", + "accept": false, + "reason": "Different bugs in different code paths; no shared concrete failure." + }, + { + "left": "issue:1062", + "right": "issue:1708", + "accept": false, + "reason": "Dreambooth-related, but reproducibility and YAML config handling are separate issues." + }, + { + "left": "issue:3073", + "right": "issue:3891", + "accept": false, + "reason": "Both are feature requests, but for completely different pipelines/models." + }, + { + "left": "issue:3073", + "right": "issue:6688", + "accept": false, + "reason": "Different requested additions: consistency models vs MotionCntrl." + }, + { + "left": "issue:10674", + "right": "issue:9895", + "accept": false, + "reason": "Same pipeline name, but GGUF support vs device mismatch regression are not the same bug." + }, + { + "left": "issue:2202", + "right": "issue:3974", + "accept": false, + "reason": "OpenVINO support request vs safetensors loading bug; unrelated." + }, + { + "left": "issue:6028", + "right": "issue:9170", + "accept": false, + "reason": "Both mention memory pressure, but they concern different models and scenarios." + }, + { + "left": "issue:10514", + "right": "issue:11555", + "accept": false, + "reason": "Sana sample_size/binning limitation vs device_map support request are different issues." + }, + { + "left": "issue:10321", + "right": "issue:10520", + "accept": false, + "reason": "LTX-Video missing checkpoint files vs Sana device mismatch are unrelated." + }, + { + "left": "issue:1185", + "right": "issue:3301", + "accept": false, + "reason": "Both Dreambooth, but one is reproducibility and the other is a broken LoRA training script." + }, + { + "left": "issue:11033", + "right": "issue:12995", + "accept": false, + "reason": "SD1.5 single-file loading bug vs Cosmos pipeline behavior question; not the same problem." + }, + { + "left": "issue:11041", + "right": "issue:9306", + "accept": false, + "reason": "Both are device/offloading complaints, but they affect different models and code paths." + }, + { + "left": "issue:1617", + "right": "issue:713", + "accept": false, + "reason": "CLI missing-arguments error is not the same as a generic training failure." + }, + { + "left": "issue:199", + "right": "issue:201", + "accept": false, + "reason": "Dead-code cleanup request vs test issue; no duplicate bug/change." + }, + { + "left": "issue:4349", + "right": "issue:4676", + "accept": false, + "reason": "Text-encoder requirement bug vs TAESD latent color issue are distinct." + }, + { + "left": "issue:5840", + "right": "issue:8393", + "accept": false, + "reason": "Checkpoint resume/freezing bug vs slow shard loading are different problems." + }, + { + "left": "issue:8918", + "right": "issue:9424", + "accept": false, + "reason": "Both Dreambooth-script breakages, but they refer to different files and behaviors." + }, + { + "left": "issue:6101", + "right": "issue:7348", + "accept": false, + "reason": "Both touch ControlNet inpaint, but one is performance and the other is visual/output corruption." + }, + { + "left": "issue:4186", + "right": "issue:5108", + "accept": false, + "reason": "Different XL pipeline issues; no shared concrete bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 206, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10025", + "issue:10891", + "issue:10940", + "issue:11010", + "issue:11178", + "issue:11220", + "issue:11387", + "issue:11436", + "issue:11864", + "issue:11901", + "issue:12108", + "issue:12147", + "issue:1231", + "issue:12423", + "issue:1274", + "issue:1335", + "issue:1363", + "issue:1530", + "issue:2185", + "issue:2412", + "issue:2712", + "issue:3015", + "issue:3382", + "issue:3647", + "issue:3682", + "issue:4390", + "issue:4630", + "issue:4747", + "issue:4808", + "issue:490", + "issue:5197", + "issue:5224", + "issue:5317", + "issue:5320", + "issue:5595", + "issue:6095", + "issue:6370", + "issue:6374", + "issue:6393", + "issue:6695", + "issue:801", + "issue:852", + "issue:9001", + "issue:9034", + "issue:945", + "issue:962", + "issue:9756", + "issue:9822" + ], + "soft_pairs": [ + "issue:2185|issue:2712", + "issue:11387|issue:11864", + "issue:6095|issue:9001", + "issue:490|issue:801", + "issue:3682|issue:4630", + "issue:1335|issue:852", + "issue:2412|issue:3647", + "issue:4808|issue:6393", + "issue:10940|issue:9034", + "issue:1231|issue:5224", + "issue:3382|issue:5197", + "issue:10025|issue:9822", + "issue:1530|issue:4390", + "issue:3015|issue:6370", + "issue:4747|issue:6374", + "issue:5595|issue:6695", + "issue:11178|issue:12423", + "issue:11010|issue:12108", + "issue:1363|issue:945", + "issue:1274|issue:962", + "issue:11901|issue:12147", + "issue:11220|issue:9756", + "issue:5317|issue:5320", + "issue:10891|issue:11436" + ], + "prepared_review_unit_hash": "5c941ca07874e3284afbd2f536cf01206b1f03356f43cbd403db1c1d87979dce", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33722, + "estimated_input_tokens": 8431, + "estimated_eval_tokens": 17118 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is highly heterogeneous: most items are unrelated issue reports across different models, pipelines, docs, and dependency errors. 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"Unrelated: a SHAP-E integration test failure versus private HF download failures in from_single_file." + }, + { + "left": "issue:10940", + "right": "issue:9034", + "accept": false, + "reason": "Both are dependency/import complaints, but about different optional packages and different triggers." + }, + { + "left": "issue:1231", + "right": "issue:5224", + "accept": false, + "reason": "Flax-related, but the scheduler issue and the Stable Diffusion 2.1 error are not the same bug." + }, + { + "left": "issue:3382", + "right": "issue:5197", + "accept": false, + "reason": "Both concern multi-GPU training, but one is OOM and the other is slower-than-single-GPU performance." + }, + { + "left": "issue:10025", + "right": "issue:9822", + "accept": false, + "reason": "Both mention Flux, but attention-mask support and loading SDXL LoRAs into Flux are different problems." + }, + { + "left": "issue:1530", + "right": "issue:4390", + "accept": false, + "reason": "Completely different topics: a missing VQDiffusionPipeline embedding field versus generic missing requirements." + }, + { + "left": "issue:3015", + "right": "issue:6370", + "accept": false, + "reason": "Both relate to interoperability with WebUI, but one is ControlNet conversion and the other is LoRA usage." + }, + { + "left": "issue:4747", + "right": "issue:6374", + "accept": false, + "reason": "Both involve loading LoRA/fine-tuned weights, but they target different models and likely different loader paths." + }, + { + "left": "issue:5595", + "right": "issue:6695", + "accept": false, + "reason": "No real overlap: image-size validation versus a subprocess startup error." + }, + { + "left": "issue:11178", + "right": "issue:12423", + "accept": false, + "reason": "Both use from_single_file, but one is a ControlNet loading failure and the other is a Qwen transformer loader issue." + }, + { + "left": "issue:11010", + "right": "issue:12108", + "accept": false, + "reason": "Both mention Chroma/Flux and flow matching, but one is a support/architecture request and the other is a scheduler breakage." + }, + { + "left": "issue:1363", + "right": "issue:945", + "accept": false, + "reason": "ONNX appears in both, but one is a scheduler-specific pipeline error and the other is a checkpoint conversion request." + }, + { + "left": "issue:1274", + "right": "issue:962", + "accept": false, + "reason": "Different SD pipeline regressions: num_images_per_prompt handling versus inpaint size constraints." + }, + { + "left": "issue:11901", + "right": "issue:12147", + "accept": false, + "reason": "Both are Wan LoRA loading reports, but they involve different model versions and adapter types." + }, + { + "left": "issue:11220", + "right": "issue:9756", + "accept": false, + "reason": "Docs-related, but one is an example page bug and the other is a missing notebook/file issue." + }, + { + "left": "issue:5317", + "right": "issue:5320", + "accept": false, + "reason": "Same PEFT umbrella, but documentation work and adding adapter_name 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The soft pairs are mostly lexical/theme matches rather than the same underlying bug or change.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:10520 is the most concrete, actionable bug report here, but it is only one narrow device-mismatch failure and does not represent the rest of the heterogeneous set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8494", + "right": "issue:8593", + "accept": false, + "reason": "Different bugs: an unexpected keyword argument vs bfloat16 noise on CPU." + }, + { + "left": "issue:5509", + "right": "issue:9225", + "accept": false, + "reason": "Both are shape/batch-size failures, but they hit different pipeline paths and describe different mismatch causes." + }, + { + "left": "issue:10191", + "right": "issue:9876", + "accept": false, + "reason": "GPU device selection for training is unrelated to LoRA VRAM being released after training." + }, + { + "left": "issue:1889", + "right": "issue:2635", + "accept": false, + "reason": "Both mention DPM++ schedulers, but one is a variant request and the other is a naming question, not the same change." + }, + { + "left": "issue:7223", + "right": "issue:9303", + "accept": false, + "reason": "Two unrelated video-generation feature requests for different models/components." + }, + { + "left": "issue:10590", + "right": "issue:10891", + "accept": false, + "reason": "Both mention bfloat16, but one is tiled VAE decode and the other is DCAE type conversion; different root causes." + }, + { + "left": "issue:2905", + "right": "issue:6452", + "accept": false, + "reason": "Scheduler Karras sigmas support is unrelated to adding masked_image_latents to ControlNet inpaint." + }, + { + "left": "issue:4923", + "right": "issue:6423", + "accept": false, + "reason": "AudioLDM2 transcript support is unrelated to the fill50k reproduction issue." + }, + { + "left": "issue:10520", + "right": "issue:9306", + "accept": false, + "reason": "Both are device-related runtime issues, but they affect different pipelines and code paths." + }, + { + "left": "issue:10227", + "right": "issue:11653", + "accept": false, + "reason": "Different LoRA-loading concerns: feature-size validation vs support for .alpha keys." + }, + { + "left": "issue:11569", + "right": "issue:11710", + "accept": false, + "reason": "A repo request for one model is not the same as adding MagCache support." + }, + { + "left": "issue:11644", + "right": "issue:8435", + "accept": false, + "reason": "Both are loading failures, but init-from-pretrained and from_single_file are different APIs/problems." + }, + { + "left": "issue:2676", + "right": "issue:702", + "accept": false, + "reason": "Scheduler naming/lookup question is not the same as adding reverse sampling support." + }, + { + "left": "issue:3300", + "right": "issue:4265", + "accept": false, + "reason": "Both are import/distribution problems, but they are different modules and failure 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"left": "issue:7293", + "right": "issue:8780", + "accept": false, + "reason": "AudioLDM2 model integration is unrelated to a model/input dtype mismatch." + }, + { + "left": "issue:10302", + "right": "issue:9667", + "accept": false, + "reason": "Both involve FP8/local transformer concerns, but one reports inference noise and the other a loading error." + }, + { + "left": "issue:5558", + "right": "issue:6101", + "accept": false, + "reason": "Same pipeline family, but artifacts with multiple ControlNets and worse performance are different bugs." + }, + { + "left": "issue:2150", + "right": "issue:2783", + "accept": false, + "reason": "A texture-projection compatibility request is not the same as creating an img2img controlnet pipeline." + }, + { + "left": "issue:6069", + "right": "issue:8323", + "accept": false, + "reason": "An add_noise edge case at t=0 is unrelated to scheduler-file recognition." + }, + { + "left": "issue:6570", + "right": "issue:9225", + "accept": false, + "reason": "Both hit SDXL InstructPix2Pix tensor-size issues, but the rgba-image-specific latents mismatch is not clearly the same underlying bug as the broader tensor-shape runtime error." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 208, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10066", + "issue:10591", + "issue:10772", + "issue:10855", + "issue:12037", + "issue:12147", + "issue:13279", + "issue:1343", + "issue:1961", + "issue:2220", + "issue:2312", + "issue:2331", + "issue:2390", + "issue:2424", + "issue:2453", + "issue:2644", + "issue:2843", + "issue:3480", + "issue:3689", + "issue:3694", + 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"issue:1343|issue:2424", + "issue:5829|issue:6288", + "issue:4447|issue:8465", + "issue:10066|issue:12037", + "issue:5981|issue:5989" + ], + "prepared_review_unit_hash": "989a0d0b5bbbf49b0d33839e91baa5d285eab1865aecca66680906e10bcb4426", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33674, + "estimated_input_tokens": 8419, + "estimated_eval_tokens": 17094 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft-similarity pairs are not true duplicates; they span different models, pipelines, and failure modes. I rejected all soft edges and treated this as a heterogeneous set of issues rather than one duplicate cluster.", + "confidence": 0.98, + "canonical_issue_reason": "issue:10066 is the clearest concrete bug report with an explicit runtime traceback, making it the best fallback anchor even though the overall set is not a single duplicate family.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10066 is the most actionable standalone issue: open, specific, and describes a reproducible code-path error.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10772", + "right": "issue:9511", + "accept": false, + "reason": "Both mention ControlNet, but one is Sana support and the other is multi-controlnet batching for SDXL inpainting; different feature requests and code paths." + }, + { + "left": "issue:10855", + "right": "issue:8543", + "accept": false, + "reason": "Gradient accumulation stepping every batch is unrelated to SD3 dreambooth gradient-checkpointing failure; different training mechanics and symptoms." + }, + { + "left": "issue:3694", + "right": "issue:5197", + "accept": false, + "reason": "Pokemon finetune config/path error is not the same as multi-GPU being slower than single-GPU; one is setup failure, the other is performance behavior." + }, + { + "left": "issue:2331", + "right": "issue:2390", + "accept": false, + "reason": "ControlNet pipeline and T2I-Adapter support are distinct pipeline features, not the same bug or change." + }, + { + "left": "issue:2453", + "right": "issue:4923", + "accept": false, + "reason": "A contribution question is unrelated to an AudioLDM2 transcript/text-to-speech feature request." + }, + { + "left": "issue:4724", + "right": "issue:8994", + "accept": false, + "reason": "SDXL img2img behaving unexpectedly with a base checkpoint is a different problem from generation steps stuck at 0." + }, + { + "left": "issue:3740", + "right": "issue:7210", + "accept": false, + "reason": "Both involve accelerate/device_map, but the failures are different: legacy attention conversion vs missing named_parameters on StableDiffusionXLPipeline." + }, + { + "left": "issue:4782", + "right": "issue:4907", + "accept": false, + "reason": "Mask leakage in inpainting is a concrete bug; the SDXL inpainting-model warning is a different issue." + }, + { + "left": "issue:4874", + "right": "issue:6357", + "accept": false, + "reason": "A local low_res_scheduler bug and API-vs-local result divergence are not the same code-path problem." + }, + { + "left": "issue:12147", + "right": "issue:13279", + "accept": false, + "reason": "Wan2.2 Lightning LoRA loading failure and AutoencoderRAE loading error with older transformers are different model/load paths." + }, + { + "left": "issue:8477", + "right": "issue:8514", + "accept": false, + "reason": "DistributedDataParallel script error and EMAModel parallel fine-tuning error are different training bugs." + }, + { + "left": "issue:6090", + "right": "issue:9979", + "accept": false, + "reason": "Both are channel-shape errors, but they affect different models/pipelines and likely different tensor preparation paths." + }, + { + "left": "issue:2220", + "right": "issue:2644", + "accept": false, + "reason": "Both discuss DreamBooth multi-GPU usage, but one is broad problems and the other asks about 2x12GB feasibility; not the same underlying defect." + }, + { + "left": "issue:2312", + "right": "issue:2843", + "accept": false, + "reason": "EMA save-hook failure is unrelated to multi-GPU checkpoint saving." + }, + { + "left": "issue:3480", + "right": "issue:3689", + "accept": false, + "reason": "Text-encoder LoRA scaling and unloading LoRA weights are different LoRA features, not one bug." + }, + { + "left": "issue:4453", + "right": "issue:6399", + "accept": false, + "reason": "Converting SDXL LoRA weights to safetensors is different from LoRA weights not appearing in UIs." + }, + { + "left": "issue:9069", + "right": "issue:9293", + "accept": false, + "reason": "NumPy type mismatch and missing Float8 storage object are unrelated serialization/type bugs." + }, + { + "left": "issue:1961", + "right": "issue:6055", + "accept": false, + "reason": "These are too vague and refer to different dependency errors; no shared concrete failure path." + }, + { + "left": "issue:10591", + "right": "issue:7895", + "accept": false, + "reason": "An SD3 LoRA training script problem is unrelated to Flax memory-efficient attention." + }, + { + "left": "issue:1343", + "right": "issue:2424", + "accept": false, + "reason": "Enabling xformers by default is a feature decision, not a flake8-comprehension check issue." + }, + { + "left": "issue:5829", + "right": "issue:6288", + "accept": false, + "reason": "Missing a model config argument in LCM scripts is unrelated to a default learning-rate complaint." + }, + { + "left": "issue:4447", + "right": "issue:8465", + "accept": false, + "reason": "A restricted-model authorization error and a missing config.json loading error are different causes." + }, + { + "left": "issue:10066", + "right": "issue:12037", + "accept": false, + "reason": "The attn unpacking ValueError and Wan2.2/Lightx2v LoRA incompatibility are different model compatibility problems." + }, + { + "left": "issue:5981", + "right": "issue:5989", + "accept": false, + "reason": "DPMSolverMultistepScheduler bug and safetensors.torch bug are unrelated subsystems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 209, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:1064", + "issue:1083", + "issue:11275", + "issue:11907", + "issue:1546", + "issue:1604", + "issue:1831", + "issue:1941", + "issue:2044", + "issue:2177", + "issue:2340", + "issue:2495", + "issue:2614", + "issue:2646", + "issue:2761", + "issue:3191", + "issue:3933", + "issue:3978", + "issue:4014", + "issue:4210", + "issue:4376", + "issue:4593", + "issue:4638", + "issue:6113", + "issue:6238", + "issue:6283", + "issue:6295", + "issue:6632", + "issue:6689", + "issue:7000", + "issue:7002", + "issue:709", + "issue:7219", + "issue:7415", + "issue:851", + "issue:8588", + "issue:9063", + "issue:9141", + "issue:9366", + "issue:9476", + "issue:9511", + "issue:9619", + "issue:968", + "issue:9841", + "issue:9895", + "issue:9904", + "issue:9972" + ], + "soft_pairs": [ + "issue:4014|issue:6295", + "issue:1064|issue:1546", + "issue:2044|issue:851", + "issue:2614|issue:968", + "issue:9511|issue:9619", + "issue:1831|issue:2340", + "issue:7002|issue:9972", + "issue:4210|issue:7000", + "issue:6113|issue:6689", + "issue:4376|issue:4638", + "issue:10100|issue:7219", + "issue:2646|issue:6238", + "issue:3933|issue:4593", + "issue:11907|issue:9366", + "issue:9141|issue:9904", + "issue:1604|issue:3191", + "issue:9063|issue:9895", + "issue:1941|issue:2177", + "issue:11275|issue:9841", + "issue:2761|issue:709", + "issue:3978|issue:6283", + "issue:6632|issue:8588", + "issue:1083|issue:2495", + "issue:7415|issue:9476" + ], + "prepared_review_unit_hash": "b76d4b109a6a98eec2246c55fa9ef0f4ca64086bc96e48aaff7b9f9632ea78a0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33882, + "estimated_input_tokens": 8471, + "estimated_eval_tokens": 17198 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issue reports with broad topical overlap only. One pair, around SDXL textual inversion, looks like a plausible duplicate based on the titles/body metadata; the rest are conservative non-matches.", + "confidence": 0.82, + "canonical_issue_reason": "issue:4376 is the tighter report: it names StableDiffusionXLPipeline and a concrete failing call to load_textual_inversion, while issue:4638 describes the same SDXL textual inversion problem more generally.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:4376 is the strongest issue representative because it is the most specific bug report in the set, with a named pipeline and a clearly identified failing API call.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4014", + "right": "issue:6295", + "accept": false, + "reason": "Both mention image artifacts, but the titles point to different contexts: SDXL watermark artifacts vs DPM++ 2M SDE Karras artifacts." + }, + { + "left": "issue:1064", + "right": "issue:1546", + "accept": false, + "reason": "Scheduler add_noise errors and truncation-warning batched-input failures are different bugs." + }, + { + "left": "issue:2044", + "right": "issue:851", + "accept": false, + "reason": "Missing dtype on DistributedDataParallel and float/half mismatch are not the same failure mode." + }, + { + "left": "issue:2614", + "right": "issue:968", + "accept": false, + "reason": "Changing the pretrained-model download directory is unrelated to model-loading slowness." + }, + { + "left": "issue:9511", + "right": "issue:9619", + "accept": false, + "reason": "Multi-controlnet batching support and interrupt support are separate ControlNet feature requests." + }, + { + "left": "issue:1831", + "right": "issue:2340", + "accept": false, + "reason": "Dreambooth class-image precision mismatch and tiny-pipeline safety-checker errors are different issues." + }, + { + "left": "issue:7002", + "right": "issue:9972", + "accept": false, + "reason": "StableDiffusionImg2Img buffer-size failure and the MacOS/CogX 10TB buffer issue do not match." + }, + { + "left": "issue:4210", + "right": "issue:7000", + "accept": false, + "reason": "A usage question about attention_mask is not the same as a pytree deprecation warning." + }, + { + "left": "issue:6113", + "right": "issue:6689", + "accept": false, + "reason": "Using sd_control_collection models in diffusers and converting SSD-1B to Diffusers are different workflows." + }, + { + "left": "issue:4376", + "right": "issue:4638", + "accept": true, + "reason": "Both titles/body descriptions point to SDXL textual inversion failing via load_textual_inversion; one is a specific crash report and the other a broader statement of the same problem." + }, + { + "left": "issue:10100", + "right": "issue:7219", + "accept": false, + "reason": "Support for ConsisID and adding a SUPIR upscaler are distinct feature requests." + }, + { + "left": "issue:2646", + "right": "issue:6238", + "accept": false, + "reason": "A tiled-VAE IndexError and a generic SDXL VAE issue are not clearly the same bug." + }, + { + "left": "issue:3933", + "right": "issue:4593", + "accept": false, + "reason": "Graph compile logging.info breakage and an Automatic1111 LoRA rank error are different code-path problems." + }, + { + "left": "issue:11907", + "right": "issue:9366", + "accept": false, + "reason": "Both mention schedulers, but the Flux pipeline failure and the step-count/strength edge case are different bugs." + }, + { + "left": "issue:9141", + "right": "issue:9904", + "accept": false, + "reason": "Missing FluxPipeline.from_single_file() and silent image-shape rounding are unrelated." + }, + { + "left": "issue:1604", + "right": "issue:3191", + "accept": false, + "reason": "lpw_stable_diffusion breakage on diffusers 0.9.0 and Dreambooth+LoRA breakage are separate regressions." + }, + { + "left": "issue:9063", + "right": "issue:9895", + "accept": false, + "reason": "Tokenizer instantiation failure and cross-device tensor mismatch are different FluxPipeline issues." + }, + { + "left": "issue:1941", + "right": "issue:2177", + "accept": false, + "reason": "Custom pipeline loading for UnCLIP and pretrained AutoencoderKL loading are not the same bug." + }, + { + "left": "issue:11275", + "right": "issue:9841", + "accept": false, + "reason": "A NoneType addition in ResnetUpsampleBlock2D and the DreamBooth SDXL LoRA use_dora=False TypeError are different failures." + }, + { + "left": "issue:2761", + "right": "issue:709", + "accept": false, + "reason": "Documentation for UNet1DModel.extra_in_channels and a forward docstring request are not duplicates." + }, + { + "left": "issue:3978", + "right": "issue:6283", + "accept": false, + "reason": "MPS img2img breakage and SDXL ControlNet img2img strength=0 behavior are different pipeline issues." + }, + { + "left": "issue:6632", + "right": "issue:8588", + "accept": false, + "reason": "A lora-training save_state question and a missing conversion script are unrelated." + }, + { + "left": "issue:1083", + "right": "issue:2495", + "accept": false, + "reason": "FP16 ONNX incorrect output and an MPS black image are different backend-specific problems." + }, + { + "left": "issue:7415", + "right": "issue:9476", + "accept": false, + "reason": "TPU bfloat16 AutoencoderKL issues and a DreamBooth SDXL LoRA float/bfloat16 mismatch are different failures." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The duplicate call for issue:4376 vs issue:4638 is plausible, but the rationale overstates what is visible in the packet. In particular, claims like a \"reproducible code path\" are not grounded here, and \"one genuine duplicate pair here\" is stronger than the evidence supports. The soft-edge rejections are mostly conservative, but the summary and canonical reasoning should stay closer to the titles/body metadata only." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 210, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10016", + "issue:10336", + "issue:10671", + "issue:11396", + "issue:11432", + "issue:1161", + "issue:12052", + "issue:12728", + "issue:12783", + "issue:13105", + "issue:13446", + "issue:1434", + "issue:1704", + "issue:2331", + "issue:2402", + "issue:3249", + "issue:3406", + "issue:3915", + "issue:4232", + "issue:4410", + "issue:4450", + "issue:4674", + "issue:4724", + "issue:4880", + "issue:5368", + "issue:5647", + "issue:5799", + "issue:5897", + "issue:6132", + "issue:6162", + "issue:6164", + "issue:6176", + "issue:6460", + "issue:6548", + "issue:660", + "issue:6666", + "issue:7294", + "issue:7574", + "issue:7575", + "issue:759", + "issue:8469", + "issue:8729", + "issue:8809", + "issue:9148", + "issue:9303", + "issue:9637", + "issue:9680", + "issue:9792" + ], + "soft_pairs": [ + "issue:11432|issue:13446", + "issue:1434|issue:4674", + "issue:8809|issue:9637", + "issue:10016|issue:4410", + "issue:6176|issue:7574", + "issue:6666|issue:8729", + "issue:5368|issue:5897", + "issue:4450|issue:7294", + "issue:6132|issue:9303", + "issue:12052|issue:12728", + "issue:5647|issue:5799", + "issue:1161|issue:759", + "issue:4724|issue:6548", + "issue:8469|issue:9680", + "issue:3249|issue:6164", + "issue:10336|issue:10671", + "issue:11396|issue:9792", + "issue:1704|issue:3406", + "issue:6460|issue:9148", + "issue:2402|issue:4880", + "issue:2331|issue:4232", + "issue:6162|issue:7575", + "issue:12783|issue:13105", + "issue:3915|issue:660" + ], + "prepared_review_unit_hash": "1a65002d64993cc43981aa981fb118af904231d400dce0f6df1502f6c33f0a60", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34209, + "estimated_input_tokens": 8553, + "estimated_eval_tokens": 17362 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are not one duplicate cluster; they span unrelated bugs, features, and model-specific regressions. All soft pairs should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:10671 is the strongest standalone report: concrete, reproducible, and clearly scoped to a specific DiffusionPipeline dtype/device behavior. It is not a duplicate hub, just the best representative issue in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11432", + "right": "issue:13446", + "accept": false, + "reason": "Different problems: torch_dtype='auto' loading behavior vs custom_pipeline trust validation/security." + }, + { + "left": "issue:1434", + "right": "issue:4674", + "accept": false, + "reason": "OOM during upscale is unrelated to a memory leak when alternating width/height." + }, + { + "left": "issue:8809", + "right": "issue:9637", + "accept": false, + "reason": "Feedforward sequence-length inconsistency is not the same as XFormers attention-mask/bfloat16 failure." + }, + { + "left": "issue:10016", + "right": "issue:4410", + "accept": false, + "reason": "Different loading errors: SD3.5M single-file positional embedding mismatch vs UNet conv_in.weight shape mismatch." + }, + { + "left": "issue:6176", + "right": "issue:7574", + "accept": false, + "reason": "LoRA weight loading 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failure." + }, + { + "left": "issue:5647", + "right": "issue:5799", + "accept": false, + "reason": "StableDiffusionXLInpaintPipeline strength==1 bug is not the same as a general strength keyword question." + }, + { + "left": "issue:1161", + "right": "issue:759", + "accept": false, + "reason": "Flax-to-PyTorch conversion request is unrelated to making textual inversion save the full model optionally." + }, + { + "left": "issue:4724", + "right": "issue:6548", + "accept": false, + "reason": "SDXL Img2Img checkpoint mismatch is different from RGBA images being mistreated as latents in prepare_latents." + }, + { + "left": "issue:8469", + "right": "issue:9680", + "accept": false, + "reason": "Corrupt IP-Adapter faces are not the same as SDXL unconditional generation being broken." + }, + { + "left": "issue:3249", + "right": "issue:6164", + "accept": false, + "reason": "AttnUpBlock2D upsample_size argument error is unrelated to latent output-type handling." + }, + { + "left": "issue:10336", + "right": "issue:10671", + "accept": false, + "reason": "Sana activation clamping/explosion is a different model/path than the DiffusionPipeline dtype/device issue." + }, + { + "left": "issue:11396", + "right": "issue:9792", + "accept": false, + "reason": "LoRA conversion to ComfyUI format is unrelated to dataset cache mapping failures." + }, + { + "left": "issue:1704", + "right": "issue:3406", + "accept": false, + "reason": "General attention-block question is not the same as the only_cross_attention=True bug." + }, + { + "left": "issue:6460", + "right": "issue:9148", + "accept": false, + "reason": "Endless loading for an inpainting checkpoint is unrelated to adding a Flux inpainting pipeline." + }, + { + "left": "issue:2402", + "right": "issue:4880", + "accept": false, + "reason": "Torch CUDA-not-enabled environment error is unrelated to ControlNet single-image type validation." + }, + { + "left": "issue:2331", + "right": "issue:4232", + "accept": false, + "reason": "Adding a ControlNet pipeline is not the same as instruct-pix2pix training/inference code for controlnet condition." + }, + { + "left": "issue:6162", + "right": "issue:7575", + "accept": false, + "reason": "IP-Adapter SDXL shape mismatch is unrelated to Transformer2DModel adanorm shape errors." + }, + { + "left": "issue:12783", + "right": "issue:13105", + "accept": false, + "reason": "Sage Attention sm90 confetti output is a different issue from Wan2.1 output noise." + }, + { + "left": "issue:3915", + "right": "issue:660", + "accept": false, + "reason": "torch.compile support for text-to-video pipelines is unrelated to MPS fp16 revision/dtype handling." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 211, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10382", + "issue:1062", + "issue:10672", + "issue:10695", + "issue:11223", + "issue:11569", + "issue:12110", + "issue:12633", + "issue:1463", + "issue:1566", + "issue:1672", + "issue:1931", + "issue:2266", + "issue:2440", + "issue:2549", + "issue:2695", + "issue:2984", + "issue:3045", + "issue:3087", + "issue:3139", + "issue:337", + "issue:3467", + "issue:3647", + "issue:3689", + "issue:384", + "issue:3944", + "issue:4331", + "issue:460", + "issue:4692", + "issue:4912", + "issue:5000", + "issue:5402", + "issue:5518", + "issue:5574", + "issue:5575", + "issue:6790", + "issue:7054", + "issue:7243", + "issue:7454", + "issue:7629", + "issue:8560", + "issue:8565", + "issue:861", + "issue:8613", + "issue:917", + "issue:9216", + "issue:9264", + "issue:9362" + ], + "soft_pairs": [ + "issue:2695|issue:3467", + "issue:3689|issue:7454", + "issue:5574|issue:5575", + "issue:1931|issue:2440", + "issue:2266|issue:460", + "issue:3045|issue:3139", + "issue:6790|issue:7054", + "issue:1062|issue:4331", + "issue:10382|issue:12110", + "issue:10695|issue:12633", + "issue:1566|issue:3647", + "issue:2984|issue:3087", + "issue:3944|issue:4912", + "issue:9216|issue:9264", + "issue:2549|issue:4692", + "issue:1672|issue:861", + "issue:11223|issue:7629", + "issue:1463|issue:5402", + "issue:8560|issue:8613", + "issue:10672|issue:11569", + "issue:1463|issue:384", + "issue:5000|issue:5518", + "issue:8565|issue:9362", + "issue:7243|issue:9216", + "issue:337|issue:917" + ], + "prepared_review_unit_hash": "0d69a17d5a868f233515c2cf3b97eab1bdc180bb45edd1718015ba6cdc61fe0e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34020, + "estimated_input_tokens": 8505, + "estimated_eval_tokens": 17266 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated bugs, feature requests, environment issues, and training/model-specific reports. There is no strong duplicate core across the set.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue stands out; the items span distinct subsystems and failure modes (schedulers, LoRA loading/fusing, training OOMs, conversion scripts, and missing deps).", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12633 is the most concrete, code-path-specific bug report here and the closest fit for a duplicate anchor, but only for scheduler-timestep issues\u2014not the whole cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2695", + "right": "issue:3467", + "accept": false, + "reason": "Different bugs: tensorboard validation crash vs resuming at the wrong step with gradient accumulation." + }, + { + "left": "issue:3689", + "right": "issue:7454", + "accept": false, + "reason": "Both mention LoRA, but one is about unloading weights after load and the other is a generic support request." + }, + { + "left": "issue:5574", + "right": "issue:5575", + "accept": false, + "reason": "Both are LoRA training questions, but they ask about different parameters and are not the same bug/change." + }, + { + "left": "issue:1931", + "right": "issue:2440", + "accept": false, + "reason": "Both involve float16, but one is a dtype mismatch during Stable Diffusion 2 usage and the other is an inpainting model load error." + }, + { + "left": "issue:2266", + "right": "issue:460", + "accept": false, + "reason": "Different support/performance problems: CPU offload slowdown vs ONNX runtime dependency selection." + }, + { + "left": "issue:3045", + "right": "issue:3139", + "accept": false, + "reason": "Conversion of LoRA safetensors to diffusers is not the same as asking how to use a safetensors file for generation." + }, + { + "left": "issue:6790", + "right": "issue:7054", + "accept": false, + "reason": "Both concern LoRA/LCM internals, but one is a state_dict key mismatch and the other is input state_dict mutation." + }, + { + "left": "issue:1062", + "right": "issue:4331", + "accept": false, + "reason": "Dreambooth result mismatch and training-script result differences are related only broadly, not the same concrete issue." + }, + { + "left": "issue:10382", + "right": "issue:12110", + "accept": false, + "reason": "Different code paths: VAE encoder return-type mismatch vs UNet1D GaussianFourier initialization bug." + }, + { + "left": "issue:10695", + "right": "issue:12633", + "accept": false, + "reason": "Both are scheduler timestep bugs, but they affect different schedulers and different calculations; not mergeable as one fix." + }, + { + "left": "issue:1566", + "right": "issue:3647", + "accept": false, + "reason": "Both involve Dreambooth, but one is a checkpoint-save crash and the other is training with DeepFloyd." + }, + { + "left": "issue:2984", + "right": "issue:3087", + "accept": false, + "reason": "A model-paper/project entry is unrelated to a LoRA model-support request." + }, + { + "left": "issue:3944", + "right": "issue:4912", + "accept": false, + "reason": "Both are about LoRA/customization, but one asks for custom network rank in training while the other asks about converting CivitAI SDXL checkpoints." + }, + { + "left": "issue:9216", + "right": "issue:9264", + "accept": false, + "reason": "One is a custom multi-model pipeline idea; the other is a request for an inpainting model for Flux." + }, + { + "left": "issue:2549", + "right": "issue:4692", + "accept": false, + "reason": "Both mention UNet2DConditionModel, but one is a functional failure on SD2.0 while the other is a memory concern." + }, + { + "left": "issue:1672", + "right": "issue:861", + "accept": false, + "reason": "Both are conversion-related, but one reports wrong output size after a conversion script and the other is a general checkpoint-to-diffusers conversion failure." + }, + { + "left": "issue:11223", + "right": "issue:7629", + "accept": false, + "reason": "Both are OOM reports, but they concern different models and runtime environments; not the same underlying bug." + }, + { + "left": "issue:1463", + "right": "issue:5402", + "accept": false, + "reason": "Different missing-package/import errors: datasets vs compute_snr." + }, + { + "left": "issue:8560", + "right": "issue:8613", + "accept": false, + "reason": "Both are OOM issues, but one is SD3 training on a 4090 and the other is caption_column memory usage during dataset processing." + }, + { + "left": "issue:10672", + "right": "issue:11569", + "accept": false, + "reason": "A callback support request is unrelated to a repo request for a specific model release." + }, + { + "left": "issue:1463", + "right": "issue:384", + "accept": false, + "reason": "Different import/runtime failures: missing datasets package vs missing latent_dist attribute." + }, + { + "left": "issue:5000", + "right": "issue:5518", + "accept": false, + "reason": "Both involve LoRA behavior, but one is unfusing regression and the other is a ModuleList attribute error in a different LoRA path." + }, + { + "left": "issue:8565", + "right": "issue:9362", + "accept": false, + "reason": "Both are IndexError reports, but they arise in different pipelines and with different off-by-one contexts." + }, + { + "left": "issue:7243", + "right": "issue:9216", + "accept": false, + "reason": "ResAdapter is a specific adapter-model issue, while the other is a generic multi-model pipeline proposal." + }, + { + "left": "issue:337", + "right": "issue:917", + "accept": false, + "reason": "These are both old image-generation bugs, but one is img2img/text-guided inpainting and the other is an ONNX inpainting error; not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 212, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10147", + "issue:10887", + "issue:10893", + "issue:10987", + "issue:11010", + "issue:11109", + "issue:11374", + "issue:11592", + "issue:12009", + "issue:12149", + "issue:12396", + "issue:12575", + "issue:12666", + "issue:12887", + "issue:13067", + "issue:1909", + "issue:2806", + "issue:319", + "issue:322", + "issue:4390", + "issue:4609", + "issue:5166", + "issue:5371", + "issue:5593", + "issue:5605", + "issue:5931", + "issue:5966", + "issue:6073", + "issue:6287", + "issue:6412", + "issue:6545", + "issue:6586", + "issue:6685", + "issue:7223", + "issue:7312", + "issue:7417", + "issue:7428", + "issue:8482", + "issue:8543", + "issue:8667", + "issue:8880", + "issue:8918", + "issue:8994", + "issue:9258", + "issue:938", + "issue:9393", + "issue:9665", + "issue:9732" + ], + "soft_pairs": [ + "issue:5593|issue:7417", + "issue:11010|issue:12575", + "issue:1909|issue:2806", + "issue:10147|issue:7223", + "issue:10887|issue:11374", + "issue:10987|issue:8482", + "issue:4390|issue:5166", + "issue:5371|issue:7428", + "issue:6073|issue:9732", + "issue:6287|issue:8918", + "issue:6685|issue:8543", + "issue:8880|issue:9258", + "issue:6545|issue:6586", + "issue:319|issue:322", + "issue:5605|issue:7312", + "issue:9393|issue:9665", + "issue:5931|issue:8994", + "issue:10893|issue:13067", + "issue:12149|issue:12666", + "issue:4609|issue:938", + "issue:5966|issue:6412", + "issue:12009|issue:12887", + "issue:11592|issue:12396", + "issue:11109|issue:8667" + ], + "prepared_review_unit_hash": "384169c2a9c3c2d45d7c1b6129ad104ff80757b969beef2eba82c16ad4047874", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33399, + "estimated_input_tokens": 8350, + "estimated_eval_tokens": 16956 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No strong duplicate cluster emerges; most items are unrelated feature requests or distinct bugs. The only borderline case is the Flux Lora `delete_adapters` area, but it is still too specific/different to merge with confidence.", + "confidence": 0.74, + "canonical_issue_reason": "No clear canonical issue for the cluster: the items span many unrelated model-support requests, training bugs, and regressions, with no pair clearly describing the same underlying problem.", + "canonical_pr_reason": "No PRs were provided.", + "best_issue_reason": "issue:11592 is the most concrete and actionable standalone bug report: it names a specific regression in `FluxLoraLoaderMixin.delete_adapters` and is close to the only somewhat related follow-up issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5593", + "right": "issue:7417", + "accept": false, + "reason": "Different problems: `AutoPipeline.from_pipe` with ControlNet pipelines versus a Mac-specific LoRA fuse NaN failure." + }, + { + "left": "issue:11010", + "right": "issue:12575", + "accept": false, + "reason": "Both are Chroma/Flux-related, but one is a model architecture request and the other is an attention-backend check error; not the same bug." + }, + { + "left": "issue:1909", + "right": "issue:2806", + "accept": false, + "reason": "Generator API mismatch versus custom pipeline printing; distinct behaviors and code paths." + }, + { + "left": "issue:10147", + "right": "issue:7223", + "accept": false, + "reason": "Separate feature requests for multi-view generation and video generation support." + }, + { + "left": "issue:10887", + "right": "issue:11374", + "accept": false, + "reason": "Import error for `StableDiffusionXLTrainer` is unrelated to SkyReels-V2 support integration." + }, + { + "left": "issue:10987", + "right": "issue:8482", + "accept": false, + "reason": "Generic spatio-temporal models versus SD3-medium support; different requests." + }, + { + "left": "issue:4390", + "right": "issue:5166", + "accept": false, + "reason": "Missing dependencies in setup versus a VQVAE scaling-factor bug; not the same issue." + }, + { + "left": "issue:5371", + "right": "issue:7428", + "accept": false, + "reason": "Different feature requests: BLIP inpainting support versus layer diffusion support." + }, + { + "left": "issue:6073", + "right": "issue:9732", + "accept": false, + "reason": "A beginner DreamBooth setup error is not the same as Flux DreamBooth CUDA OOM during training." + }, + { + "left": "issue:6287", + "right": "issue:8918", + "accept": false, + "reason": "Unused dependencies in `setup.py` is unrelated to the SD3 DreamBooth script being broken." + }, + { + "left": "issue:6685", + "right": "issue:8543", + "accept": false, + "reason": "Absolute `output_dir` support and gradient-checkpointing failure are different DreamBooth issues." + }, + { + "left": "issue:8880", + "right": "issue:9258", + "accept": false, + "reason": "Both mention speed, but one is a version regression and the other is a Windows-vs-Linux performance gap; not the same change or bug." + }, + { + "left": "issue:6545", + "right": "issue:6586", + "accept": false, + "reason": "A tracker for modularizing inference is unrelated to micro-conditioning support for SDXL trainers." + }, + { + "left": "issue:319", + "right": "issue:322", + "accept": false, + "reason": "Two different model families (`VQ-Diffusion` vs `V-Diffusion`), not duplicates." + }, + { + "left": "issue:5605", + "right": "issue:7312", + "accept": false, + "reason": "Per-image caption support for DreamBooth is unrelated to AlignProp direct reward finetuning support." + }, + { + "left": "issue:9393", + "right": "issue:9665", + "accept": false, + "reason": "Both involve DeepSpeed, but one is a save-model failure and the other is `accelerator.prepare()` behavior; different concrete bugs." + }, + { + "left": "issue:5931", + "right": "issue:8994", + "accept": false, + "reason": "Nondeterministic generation and steps stuck at 0 are distinct symptoms with different likely causes." + }, + { + "left": "issue:10893", + "right": "issue:13067", + "accept": false, + "reason": "Separate feature requests for CogVideoX ControlNet and Anima support." + }, + { + "left": "issue:12149", + "right": "issue:12666", + "accept": false, + "reason": "Package/source version misalignment is not the same as missing Kandinsky 5.0 video pipeline support." + }, + { + "left": "issue:4609", + "right": "issue:938", + "accept": false, + "reason": "Different model requests: a T2I adapter model versus a human motion diffusion model." + }, + { + "left": "issue:5966", + "right": "issue:6412", + "accept": false, + "reason": "ControlNet model support and ControlNet annotator ONNX export are related only broadly, not the same issue." + }, + { + "left": "issue:12009", + "right": "issue:12887", + "accept": false, + "reason": "Both are `from_single_file` loading failures, but they concern different models and error paths." + }, + { + "left": "issue:11592", + "right": "issue:12396", + "accept": false, + "reason": "Related `delete_adapters` area, but one is a regression report and the other is a specific `leaf_level` interaction; too specific to treat as the same underlying bug without stronger evidence." + }, + { + "left": "issue:11109", + "right": "issue:8667", + "accept": false, + "reason": "Different mismatch failures in different model components: depth LoRA transformer layers versus SD3ControlNet image-size handling." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 213, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10003", + "issue:10147", + "issue:10542", + "issue:10639", + "issue:1083", + "issue:11093", + "issue:11223", + "issue:11229", + "issue:11315", + "issue:11536", + "issue:11540", + "issue:11592", + "issue:12567", + "issue:13286", + "issue:1539", + "issue:2177", + "issue:2830", + "issue:3097", + "issue:3171", + "issue:3379", + "issue:3537", + "issue:3799", + "issue:4210", + "issue:4376", + "issue:4949", + "issue:4969", + "issue:5455", + "issue:5510", + "issue:5576", + "issue:5661", + "issue:5689", + "issue:6186", + "issue:656", + "issue:7368", + "issue:7535", + "issue:7606", + "issue:8482", + "issue:8504", + "issue:8641", + "issue:8790", + "issue:9069", + "issue:9166", + "issue:9225", + "issue:9298", + "issue:9362", + "issue:9370", + "issue:9496" + ], + "soft_pairs": [ + "issue:11592|issue:13286", + "issue:3097|issue:4376", + "issue:3537|issue:7368", + "issue:3799|issue:7535", + "issue:5576|issue:6186", + "issue:11223|issue:12567", + "issue:10003|issue:9362", + "issue:2830|issue:4949", + "issue:3171|issue:3537", + "issue:8482|issue:8504", + "issue:2177|issue:3379", + "issue:9370|issue:9496", + "issue:11229|issue:11315", + "issue:1083|issue:1539", + "issue:4969|issue:656", + "issue:5455|issue:7606", + "issue:9069|issue:9298", + "issue:5689|issue:9166", + "issue:10542|issue:11093", + "issue:5510|issue:9225", + "issue:10147|issue:8790", + "issue:10639|issue:8641", + "issue:11536|issue:11540", + "issue:4210|issue:5661" + ], + "prepared_review_unit_hash": "9c420272417b3d1bf0d568577c5302aee15dec57bdeafb15ca2ba715967ade4e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32877, + "estimated_input_tokens": 8220, + "estimated_eval_tokens": 16696 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All soft-edge pairs are false positives: they share broad model/runtime themes, but each pair describes a different underlying bug, feature request, or code path. No duplicate cluster is supported here.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:11540 is the most detailed and actionable standalone bug report in the set, but it is not a duplicate target for the others.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11592", + "right": "issue:13286", + "accept": false, + "reason": "FluxLoRA adapter deletion regression vs torchao quantization support request; unrelated failures." + }, + { + "left": "issue:3097", + "right": "issue:4376", + "accept": false, + "reason": "Both involve textual inversion, but one is a no-op bug and the other is an SDXL crash; different symptoms and likely different causes." + }, + { + "left": "issue:3537", + "right": "issue:7368", + "accept": false, + "reason": "ControlNet conversion script vs GLIGEN training support; different features entirely." + }, + { + "left": "issue:3799", + "right": "issue:7535", + "accept": false, + "reason": "Scheduler type inference issue vs a Tensor type-hint mismatch; not the same bug." + }, + { + "left": "issue:5576", + "right": "issue:6186", + "accept": false, + "reason": "FreeNoise scheduler request vs i2vgen-xl implementation request; separate feature work." + }, + { + "left": "issue:11223", + "right": "issue:12567", + "accept": false, + "reason": "WAN LoRA OOM with layer-wise upcasting vs Ulysses Attention producing noise; distinct runtime problems." + }, + { + "left": "issue:10003", + "right": "issue:9362", + "accept": false, + "reason": "DDIM/DDPM step-count bug vs an index out-of-bounds error; different code paths." + }, + { + "left": "issue:2830", + "right": "issue:4949", + "accept": false, + "reason": "Modelscope image/text-to-video question vs ProPainter in/outpainting request; different model use cases." + }, + { + "left": "issue:3171", + "right": "issue:3537", + "accept": false, + "reason": "LPW prompt handling in ControlNet vs a ControlNet conversion script; not the same issue." + }, + { + "left": "issue:8482", + "right": "issue:8504", + "accept": false, + "reason": "General SD3-Medium support vs selecting which text encoders to train; related area, but different change requests." + }, + { + "left": "issue:2177", + "right": "issue:3379", + "accept": false, + "reason": "AutoencoderKL loading failure vs DreamBooth checkpoint loading failure; unrelated bugs." + }, + { + "left": "issue:9370", + "right": "issue:9496", + "accept": false, + "reason": "Missing pooled_projection argument in one forward path vs SD3ControlNetModel forward error; different concrete failures." + }, + { + "left": "issue:11229", + "right": "issue:11315", + "accept": false, + "reason": "MPS NaNs from attention slicing vs MPS breakage from float64 rope implementation; same platform, different root causes." + }, + { + "left": "issue:1083", + "right": "issue:1539", + "accept": false, + "reason": "FP16 ONNX incorrect output vs conversion-script int typing bug; unrelated." + }, + { + "left": "issue:4969", + "right": "issue:656", + "accept": false, + "reason": "ImportError for CrossAttention vs DreamBooth training error on 16GB GPU; no shared underlying defect." + }, + { + "left": "issue:5455", + "right": "issue:7606", + "accept": false, + "reason": "DreamBooth+lora notebook subprocess failure vs deprecated Kandinsky LoRA processor; different problems." + }, + { + "left": "issue:9069", + "right": "issue:9298", + "accept": false, + "reason": "NumPy type mismatch vs missing Float8 storage object; unrelated compatibility issues." + }, + { + "left": "issue:5689", + "right": "issue:9166", + "accept": false, + "reason": "Residual noise in SDXL DPM++ outputs vs unexpected overlay behavior; similar output complaints, but different code paths." + }, + { + "left": "issue:10542", + "right": "issue:11093", + "accept": false, + "reason": "Hunyuan Video batch-size regression vs TorchAO example breakage; not the same bug." + }, + { + "left": "issue:5510", + "right": "issue:9225", + "accept": false, + "reason": "Half/float bias mismatch in SDXL InstructPix2Pix vs latent size mismatch with RGBA images; distinct pipeline errors." + }, + { + "left": "issue:10147", + "right": "issue:8790", + "accept": false, + "reason": "MV-Adapter multi-view support vs SDXL TensorRT + IP-Adapter; broad adapter theme, but different implementation targets." + }, + { + "left": "issue:10639", + "right": "issue:8641", + "accept": false, + "reason": "Lumina-Image 2.0 support vs Lumina-T2X integration; related model family but separate feature requests." + }, + { + "left": "issue:11536", + "right": "issue:11540", + "accept": false, + "reason": "Flux prompt-adherence regression vs VAE slicing noise / Flux image2image support; different bugs, not one fixable change." + }, + { + "left": "issue:4210", + "right": "issue:5661", + "accept": false, + "reason": "UNet attention_mask usage question vs missing PreTrainedTokenizer import; unrelated issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 214, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10165", + "issue:10202", + "issue:10428", + "issue:1101", + "issue:11088", + "issue:11109", + "issue:11283", + "issue:11412", + "issue:11709", + "issue:11779", + "issue:1185", + "issue:12071", + "issue:12110", + "issue:12653", + "issue:13477", + "issue:1672", + "issue:1677", + "issue:1934", + "issue:2210", + "issue:2392", + "issue:3073", + "issue:3441", + "issue:3944", + "issue:4005", + "issue:4331", + "issue:4349", + "issue:4631", + "issue:4871", + "issue:5002", + "issue:5171", + "issue:5593", + "issue:6242", + "issue:6423", + "issue:6446", + "issue:7219", + "issue:725", + "issue:7569", + "issue:8320", + "issue:8885", + "issue:9026", + "issue:9293", + "issue:9424", + "issue:9516", + "issue:9731", + "issue:9768", + "issue:9902", + "issue:9930" + ], + "soft_pairs": [ + "issue:6446|issue:8885", + "issue:1101|issue:725", + "issue:10202|issue:11109", + "issue:10010|issue:11412", + "issue:6242|issue:8320", + "issue:9424|issue:9902", + "issue:11088|issue:11709", + "issue:12110|issue:13477", + "issue:12071|issue:9516", + "issue:2210|issue:3944", + "issue:1672|issue:1677", + "issue:1934|issue:3441", + "issue:2392|issue:4349", + "issue:10165|issue:9930", + "issue:3073|issue:7219", + "issue:4005|issue:6423", + "issue:11283|issue:11779", + "issue:10428|issue:12653", + "issue:4871|issue:5171", + "issue:9026|issue:9293", + "issue:4631|issue:5002", + "issue:1185|issue:4331", + "issue:5593|issue:7569", + "issue:9731|issue:9768" + ], + "prepared_review_unit_hash": "604b170fb18460a2a25d60639ff1d9570689eeca5e78f8346b34fe3dd1cf0eee", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33876, + "estimated_input_tokens": 8469, + "estimated_eval_tokens": 17194 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are only loosely related and should stay separate. The only duplicate-like match is the prompt_embeds/text_encoder validation bug in StableDiffusionImg2ImgPipeline vs StableDiffusionUpscalePipeline; the rest are different models, pipelines, or feature requests.", + "confidence": 0.68, + "canonical_issue_reason": "issue:2392 is the earlier and broader report of the prompt_embeds validation bug; issue:4349 appears to be the same underlying failure mode in another pipeline.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2392 is the best representative of the accepted duplicate pair because it describes the core bug more directly and is the more general report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6446", + "right": "issue:8885", + "accept": false, + "reason": "Both are loading/setup problems, but they affect different examples and failure points (Colab model loading vs Custom Diffusion dependencies/token loading)." + }, + { + "left": "issue:1101", + "right": "issue:725", + "accept": false, + "reason": "Different requests: adding a scheduler vs adding device-map/accelerate support for memory reduction." + }, + { + "left": "issue:10202", + "right": "issue:11109", + "accept": false, + "reason": "Both mention LoRA, but one is about unloading Flux Control LoRA and the other about transformer layer mismatches in depth LoRA; not the same bug." + }, + { + "left": "issue:10010", + "right": "issue:11412", + "accept": false, + "reason": "Both are 404/model download failures, but for different repos/models and likely different missing artifacts." + }, + { + "left": "issue:6242", + "right": "issue:8320", + "accept": false, + "reason": "Unrelated: one asks for dataset logs, the other is a from_single_file attribute error." + }, + { + "left": "issue:9424", + "right": "issue:9902", + "accept": false, + "reason": "Different issues: notebook breakage vs conda version pinning/stuck version." + }, + { + "left": "issue:11088", + "right": "issue:11709", + "accept": false, + "reason": "Both are load errors, but they concern different models and different failure modes (GGUF transformer load vs LoRA key mismatch)." + }, + { + "left": "issue:12110", + "right": "issue:13477", + "accept": false, + "reason": "Completely different code paths: UNet1D time projection initialization vs callback locals() scope bug." + }, + { + "left": "issue:12071", + "right": "issue:9516", + "accept": false, + "reason": "Both involve FLUX transformers, but one is a behavior change in single blocks forward and the other is missing joint_attention_kwargs propagation; not the same concrete bug." + }, + { + "left": "issue:2210", + "right": "issue:3944", + "accept": false, + "reason": "Both are LoRA training-related, but one is about training the text encoder and the other about configuring network rank; distinct feature requests." + }, + { + "left": "issue:1672", + "right": "issue:1677", + "accept": false, + "reason": "Different problems: image size regression after conversion vs a wrong data type passed to the pipeline." + }, + { + "left": "issue:1934", + "right": "issue:3441", + "accept": false, + "reason": "Both discuss memory usage, but the symptoms and contexts differ (cpu_offload vRAM vs PyTorch2/xformers VRAM)." + }, + { + "left": "issue:2392", + "right": "issue:4349", + "accept": true, + "reason": "Both report the same underlying validation bug: pipeline calls reject/use prompt_text_encoder incorrectly even when prompt_embeds are already provided." + }, + { + "left": "issue:10165", + "right": "issue:9930", + "accept": false, + "reason": "LoRA seed preservation is unrelated to PAG adaptive scale behavior." + }, + { + "left": "issue:3073", + "right": "issue:7219", + "accept": false, + "reason": "A feature request for consistency models is unrelated to adding a SUPIR upscaler." + }, + { + "left": "issue:4005", + "right": "issue:6423", + "accept": false, + "reason": "Both mention fill/inpaint-related topics only loosely; one is an aspect-ratio bug and the other is a reproducibility/logging question." + }, + { + "left": "issue:11283", + "right": "issue:11779", + "accept": false, + "reason": "Different Wan bugs: header deserialization vs incorrect mask padding in VACE pipeline." + }, + { + "left": "issue:10428", + "right": "issue:12653", + "accept": false, + "reason": "Different model/runtime errors: Ascend NPU Flux inference vs PRX rope float64/MPS issue." + }, + { + "left": "issue:4871", + "right": "issue:5171", + "accept": false, + "reason": "Both are about SDXL pipeline usage, but one is from_single_file usage guidance and the other is an unexpected safety_checker argument error." + }, + { + "left": "issue:9026", + "right": "issue:9293", + "accept": false, + "reason": "Different low-level compatibility errors: force_hook argument vs missing Float8 storage object." + }, + { + "left": "issue:4631", + "right": "issue:5002", + "accept": false, + "reason": "Both involve Karras sigma support, but they are different scheduler classes with different breakages; not the same concrete bug." + }, + { + "left": "issue:1185", + "right": "issue:4331", + "accept": false, + "reason": "Dreambooth reproducibility and differing train scripts are related only at a high level; they are not the same bug." + }, + { + "left": "issue:5593", + "right": "issue:7569", + "accept": false, + "reason": "Different issues: AutoPipeline conversion with ControlNet vs a Mac-specific FreeU test failure." + }, + { + "left": "issue:9731", + "right": "issue:9768", + "accept": false, + "reason": "Unrelated: training guidance for Playground2.5 vs a torch/CuDNN SDPA NaN error." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The only accepted duplicate pair, issue:2392 vs issue:4349, is a plausible same-bug match based on the prompt_embeds/text_encoder validation behavior. The other soft-edge rejections are reasonably cautious and do not overstate similarity." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 215, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10057", + "issue:10302", + "issue:10542", + "issue:10590", + "issue:10672", + "issue:10873", + "issue:11137", + "issue:1158", + "issue:12239", + "issue:12359", + "issue:12458", + "issue:12575", + "issue:1263", + "issue:12695", + "issue:13191", + "issue:13277", + "issue:1524", + "issue:2737", + "issue:305", + "issue:3064", + "issue:3537", + "issue:3585", + "issue:3884", + "issue:4002", + "issue:4005", + "issue:4061", + "issue:4354", + "issue:4496", + "issue:5079", + "issue:5328", + "issue:5371", + "issue:5390", + "issue:6055", + "issue:6079", + "issue:6132", + "issue:6141", + "issue:6331", + "issue:7210", + "issue:7219", + "issue:7389", + "issue:7751", + "issue:8323", + "issue:843", + "issue:8594", + "issue:8850", + "issue:8939", + "issue:8989", + "issue:9111" + ], + "soft_pairs": [ + "issue:6132|issue:7219", + "issue:10057|issue:10873", + "issue:1158|issue:1524", + "issue:10302|issue:8989", + "issue:6079|issue:7389", + "issue:7751|issue:8939", + "issue:10590|issue:11137", + "issue:12239|issue:13191", + "issue:1263|issue:305", + "issue:3537|issue:6141", + "issue:5371|issue:6331", + "issue:8323|issue:9111", + "issue:10542|issue:8850", + "issue:12458|issue:13277", + "issue:6055|issue:7210", + "issue:4061|issue:5328", + "issue:3884|issue:8594", + "issue:4002|issue:4005", + "issue:4354|issue:5390", + "issue:10672|issue:12695", + "issue:12359|issue:12575", + "issue:2737|issue:5079", + "issue:3064|issue:3585", + "issue:4496|issue:843" + ], + "prepared_review_unit_hash": "7d1b63b75f23cb06af7f44453c1f6365cd981d2bdbedc0859f95bd520c2e0d17", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33544, + "estimated_input_tokens": 8386, + "estimated_eval_tokens": 17028 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is noisy and mostly unrelated: the candidate pairs span different pipelines, features, and failure modes. No soft edge looks like the same underlying bug/change, so this does not form a true duplicate cluster.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue fits the set; the items are heterogeneous and not duplicates of one another.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative because the cluster does not cohere around one concrete bug or feature.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6132", + "right": "issue:7219", + "accept": false, + "reason": "LOADABLE_CLASSES support vs. SUPIR upscaler request are unrelated." + }, + { + "left": "issue:10057", + "right": "issue:10873", + "accept": false, + "reason": "Different models and failures: FluxTransformer2DModel.from_single_file token issue vs. SanaPipeline issue." + }, + { + "left": "issue:1158", + "right": "issue:1524", + "accept": false, + "reason": "Test interference and poor training quality are different problems." + }, + { + "left": "issue:10302", + "right": "issue:8989", + "accept": false, + "reason": "FP8 inference noise is unrelated to Stable Audio sequential offloading." + }, + { + "left": "issue:6079", + "right": "issue:7389", + "accept": false, + "reason": "Both are error reports, but the concrete bug/context is not the same from the titles alone." + }, + { + "left": "issue:7751", + "right": "issue:8939", + "accept": false, + "reason": "Animatediff conversion errors and tokenizer-loading errors are unrelated." + }, + { + "left": "issue:10590", + "right": "issue:11137", + "accept": false, + "reason": "Both mention dtype issues, but they affect different pipelines and code paths." + }, + { + "left": "issue:12239", + "right": "issue:13191", + "accept": false, + "reason": "Support requests for different models/projects; not the same change." + }, + { + "left": "issue:1263", + "right": "issue:305", + "accept": false, + "reason": "Generic import errors, but one is a specific missing class and the other is broader package import failure." + }, + { + "left": "issue:3537", + "right": "issue:6141", + "accept": false, + "reason": "ControlNet conversion script vs. ControlNet parameter support are different feature requests." + }, + { + "left": "issue:5371", + "right": "issue:6331", + "accept": false, + "reason": "Both involve inpainting, but one is BLIP pipe support and the other is SAG for inpainting." + }, + { + "left": "issue:8323", + "right": "issue:9111", + "accept": false, + "reason": "Scheduler file recognition and missing scheduler attribute are different bugs." + }, + { + "left": "issue:10542", + "right": "issue:8850", + "accept": false, + "reason": "Hunyuan batch-size regression and community pipeline mirror breakage are unrelated." + }, + { + "left": "issue:12458", + "right": "issue:13277", + "accept": false, + "reason": "Both touch Qwen batch input/inference, but one is a broad feature/issue request and the other is a specific Ulysses-SP batch failure; not clearly the same concrete bug." + }, + { + "left": "issue:6055", + "right": "issue:7210", + "accept": false, + "reason": "Accelerate-related error and named_parameters absence are different issues." + }, + { + "left": "issue:4061", + "right": "issue:5328", + "accept": false, + "reason": "Different LoRA-loading problems for different models; not the same bug." + }, + { + "left": "issue:3884", + "right": "issue:8594", + "accept": false, + "reason": "Training-script error and tokenizer variable scope error are unrelated." + }, + { + "left": "issue:4002", + "right": "issue:4005", + "accept": false, + "reason": "Missing from_single_file support vs. aspect-ratio preservation are different inpaint concerns." + }, + { + "left": "issue:4354", + "right": "issue:5390", + "accept": false, + "reason": "Inpaint from_single_file return-type bug vs. unwanted text-encoder download are unrelated." + }, + { + "left": "issue:10672", + "right": "issue:12695", + "accept": false, + "reason": "Callback-on-step-end support and Hunyuan v1.5 support are different requests." + }, + { + "left": "issue:12359", + "right": "issue:12575", + "accept": false, + "reason": "Documentation guidance_scale bug vs. attention-backend runtime error are not the same issue." + }, + { + "left": "issue:2737", + "right": "issue:5079", + "accept": false, + "reason": "DPMSolver CLIP guidance support and LyCORIS loading support are unrelated features." + }, + { + "left": "issue:3064", + "right": "issue:3585", + "accept": false, + "reason": "LoRA loading error and synthesized-LoRA model failure are different problems." + }, + { + "left": "issue:4496", + "right": "issue:843", + "accept": false, + "reason": "Prompt fusion feature request and prompt syntax documentation are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 216, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10111", + "issue:10302", + "issue:10315", + "issue:10591", + "issue:10674", + "issue:11033", + "issue:12022", + "issue:12085", + "issue:12605", + "issue:13104", + "issue:1962", + "issue:2202", + "issue:2364", + "issue:2392", + "issue:2769", + "issue:3580", + "issue:3817", + "issue:4014", + "issue:4043", + "issue:4122", + "issue:4453", + "issue:4646", + "issue:5028", + "issue:5168", + "issue:5233", + "issue:5433", + "issue:5465", + "issue:5540", + "issue:5951", + "issue:6486", + "issue:6497", + "issue:7056", + "issue:7300", + "issue:7408", + "issue:7600", + "issue:7970", + "issue:8535", + "issue:8593", + "issue:8604", + "issue:8708", + "issue:9001", + "issue:9063", + "issue:9163", + "issue:9170", + "issue:9514", + "issue:9904", + "issue:9936" + ], + "soft_pairs": [ + "issue:4646|issue:8604", + "issue:5465|issue:9001", + "issue:12605|issue:9904", + "issue:10111|issue:10591", + "issue:10302|issue:9514", + "issue:5540|issue:9170", + "issue:6486|issue:8708", + "issue:8535|issue:8593", + "issue:10674|issue:12085", + "issue:4122|issue:5233", + "issue:9063|issue:9904", + "issue:2364|issue:5951", + "issue:9163|issue:9936", + "issue:11033|issue:13104", + "issue:10315|issue:7056", + "issue:12022|issue:12605", + "issue:4014|issue:5433", + "issue:2769|issue:4453", + "issue:3580|issue:5028", + "issue:2392|issue:4043", + "issue:6497|issue:7408", + "issue:1962|issue:3817", + "issue:2202|issue:5168", + "issue:6486|issue:7600", + "issue:7300|issue:7970" + ], + "prepared_review_unit_hash": "dfd2cb5f85fd5d0e07f6aad4b82ea1dd83fd2760856de0d58ff378799ff1f949", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33378, + "estimated_input_tokens": 8345, + "estimated_eval_tokens": 16946 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster does not contain a single duplicate bug/change thread; the items span many unrelated subsystems (FLUX, SDXL, attention backends, training scripts, model loading, and generic feature requests). The soft links are mostly superficial title similarity, so none should be merged as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": "No safe canonical issue: the cluster is too heterogeneous, and the pairwise links appear to be title-similarity matches rather than the same underlying bug.", + "canonical_pr_reason": null, + "best_issue_reason": "If one issue must be chosen as the most representative standalone bug report, issue 12605 is the strongest candidate because it describes a concrete, code-path-specific defect with clear behavior and backend scope.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4646", + "right": "issue:8604", + "accept": false, + "reason": "Different bugs in different areas: ONNX export failure for ControlNet vs FP16 T5 corruption during image generation." + }, + { + "left": "issue:5465", + "right": "issue:9001", + "accept": false, + "reason": "Different pipeline concerns: DiffEdit inpaint_strength handling vs Auraflow aspect ratio support." + }, + { + "left": "issue:12605", + "right": "issue:9904", + "accept": false, + "reason": "Both involve FluxPipeline-related behavior, but one is attention-mask handling across backends and the other is image-shape rounding; not the same bug." + }, + { + "left": "issue:10111", + "right": "issue:10591", + "accept": false, + "reason": "Generic FLUX pipeline bugs vs SD3 LoRA training script issues; too broad and unrelated." + }, + { + "left": "issue:10302", + "right": "issue:9514", + "accept": false, + "reason": "FP8 inference noise without CPU offloading is unrelated to LoRA weight loading after FP8 quantization." + }, + { + "left": "issue:5540", + "right": "issue:9170", + "accept": false, + "reason": "OOM/inference memory pressure is not the same as a specific SDXL+ControlNet 36GB memory question." + }, + { + "left": "issue:6486", + "right": "issue:8708", + "accept": false, + "reason": "DreamBooth embedding retraction bug is distinct from missing sd3 VAE shift_factor in examples." + }, + { + "left": "issue:8535", + "right": "issue:8593", + "accept": false, + "reason": "xFormers attention enablement in SD3 is a different issue from SD3 bfloat16 CPU noise." + }, + { + "left": "issue:10674", + "right": "issue:12085", + "accept": false, + "reason": "Both mention GGUF loading, but FluxPipeline GGUF failure and WanVACETransformer3DModel GGUF load error are different models/code paths." + }, + { + "left": "issue:4122", + "right": "issue:5233", + "accept": false, + "reason": "Scheduler timestep count mismatch is unrelated to callback step-value reporting." + }, + { + "left": "issue:9063", + "right": "issue:9904", + "accept": false, + "reason": "Pretrained FluxPipeline tokenizer instantiation failure is not the same as silent image-shape rounding." + }, + { + "left": "issue:2364", + "right": "issue:5951", + "accept": false, + "reason": "Training script execution failure and PixArt training are different reports without a shared concrete bug." + }, + { + "left": "issue:9163", + "right": "issue:9936", + "accept": false, + "reason": "Flux LoRA tensor bugs and NCCL timeout in multigpu controlnet training are different failure modes." + }, + { + "left": "issue:11033", + "right": "issue:13104", + "accept": false, + "reason": "SD1.5 from_single_file loading issue is unrelated to a 'Logger is not defined' error." + }, + { + "left": "issue:10315", + "right": "issue:7056", + "accept": false, + "reason": "CogVideo training error and SDXL LoRA fine-tuning error are different training failures." + }, + { + "left": "issue:12022", + "right": "issue:12605", + "accept": false, + "reason": "Latest flash-attn interface incompatibility is a separate backend/API break from attn_mask being silently ignored." + }, + { + "left": "issue:4014", + "right": "issue:5433", + "accept": false, + "reason": "Watermark pixel artifacts and DPM++/SDXL visual artifacts are different image-quality issues." + }, + { + "left": "issue:2769", + "right": "issue:4453", + "accept": false, + "reason": "Model round-trip conversion corruption is unrelated to converting an SDXL LoRA to safetensors for A1111." + }, + { + "left": "issue:3580", + "right": "issue:5028", + "accept": false, + "reason": "XFormers TypeError and SDXL ReferencePipeline unexpected 'scale' argument are different compatibility bugs." + }, + { + "left": "issue:2392", + "right": "issue:4043", + "accept": false, + "reason": "Img2Img prompt_embeds validation error is distinct from SDXL pooled_prompt_embeds requirements." + }, + { + "left": "issue:6497", + "right": "issue:7408", + "accept": false, + "reason": "DragNUWA model/pipeline request and FRESCO pipeline request are separate feature topics, not duplicate bugs." + }, + { + "left": "issue:1962", + "right": "issue:3817", + "accept": false, + "reason": "General video generation with stable diffusion is not the same as the EDGE editable dance generation project." + }, + { + "left": "issue:2202", + "right": "issue:5168", + "accept": false, + "reason": "OpenVINO pipeline support request is unrelated to ControlNet-XS support." + }, + { + "left": "issue:6486", + "right": "issue:7600", + "accept": false, + "reason": "Embedding retraction happening twice is a different DreamBooth bug from missing accelerator.accumulate on text_encoder." + }, + { + "left": "issue:7300", + "right": "issue:7970", + "accept": false, + "reason": "set_default_attn_processor causing GPU memory growth is not the same as increasing RAM usage with enable_model_cpu_offload." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 217, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:10147", + "issue:1037", + "issue:10412", + "issue:10512", + "issue:11005", + "issue:1101", + "issue:11225", + "issue:11581", + "issue:12221", + "issue:12239", + "issue:13191", + "issue:1358", + "issue:1405", + "issue:2340", + "issue:2440", + "issue:2905", + "issue:3040", + "issue:4061", + "issue:4471", + "issue:4736", + "issue:4752", + "issue:5002", + "issue:5043", + "issue:5162", + "issue:5256", + "issue:5285", + "issue:5325", + "issue:539", + "issue:5395", + "issue:5515", + "issue:6094", + "issue:6333", + "issue:660", + "issue:6749", + "issue:6774", + "issue:6906", + "issue:7311", + "issue:7611", + "issue:8323", + "issue:8410", + "issue:8588", + "issue:8744", + "issue:8894", + "issue:8939", + "issue:9210", + "issue:9293", + "issue:9420" + ], + "soft_pairs": [ + "issue:4736|issue:9210", + "issue:1101|issue:5256", + "issue:4061|issue:4471", + "issue:5002|issue:539", + "issue:5515|issue:8323", + "issue:2440|issue:660", + "issue:3040|issue:6094", + "issue:4752|issue:5325", + "issue:11581|issue:9293", + "issue:7311|issue:8894", + "issue:6774|issue:7611", + "issue:10100|issue:8410", + "issue:10147|issue:12239", + "issue:1037|issue:2905", + "issue:10512|issue:9420", + "issue:11005|issue:8588", + "issue:12221|issue:13191", + "issue:1358|issue:5162", + "issue:5043|issue:5285", + "issue:6749|issue:6906", + "issue:5395|issue:6333", + "issue:1405|issue:2340", + "issue:8744|issue:8939", + "issue:10412|issue:11225" + ], + "prepared_review_unit_hash": "c4beba6f7cd63853bb34d9210ae2faba02cb548f94e9bed03706b815397fd29d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33701, + "estimated_input_tokens": 8426, + "estimated_eval_tokens": 17108 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated feature requests, training OOM reports, loading/type-mismatch bugs, and docs/utility issues. The soft pairs are only superficially similar and do not look like the same underlying change or defect.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue fits the cluster: the items span different models, pipelines, error modes, and even docs/support requests.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11581 is the most concrete and actionable bug report in the set, with a specific FLUX/IP-Adapter loading error and clear stack trace context.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4736", + "right": "issue:9210", + "accept": false, + "reason": "Both involve training, but one is an SDXL LoRA OOM report and the other is a CLI argument validation error; different bugs." + }, + { + "left": "issue:1101", + "right": "issue:5256", + "accept": false, + "reason": "A scheduler feature request and a training-support request for Insta-Flow are unrelated changes." + }, + { + "left": "issue:4061", + "right": "issue:4471", + "accept": false, + "reason": "Both mention LoRA loading, but they target different SDXL pipeline paths and different failure modes." + }, + { + "left": "issue:5002", + "right": "issue:539", + "accept": false, + "reason": "Scheduler argument support is unrelated to a snapshot_download keyword-argument error." + }, + { + "left": "issue:5515", + "right": "issue:8323", + "accept": false, + "reason": "LCM pipeline scheduler initialization failure and a scheduler file recognition issue are different problems." + }, + { + "left": "issue:2440", + "right": "issue:660", + "accept": false, + "reason": "Both involve precision/runtime behavior, but one is inpainting float16 loading and the other is MPS fp16 execution." + }, + { + "left": "issue:3040", + "right": "issue:6094", + "accept": false, + "reason": "A docs-copy-paste attribute error and a TextToVideoZero compatibility regression are not the same bug." + }, + { + "left": "issue:4752", + "right": "issue:5325", + "accept": false, + "reason": "Model dtype/bias mismatch versus packaging type metadata distribution; no shared code-path issue." + }, + { + "left": "issue:11581", + "right": "issue:9293", + "accept": false, + "reason": "These are distinct FLUX-related runtime errors with different root causes: dtype kwarg handling versus missing Float8 storage support." + }, + { + "left": "issue:7311", + "right": "issue:8894", + "accept": false, + "reason": "Checkpoint-saving failure in SDXL training and an error in a different unconditional training script are separate reports." + }, + { + "left": "issue:6774", + "right": "issue:7611", + "accept": false, + "reason": "AttentionProcessor mixed-precision mismatch and UNet tensor size mismatch are different failure classes." + }, + { + "left": "issue:10100", + "right": "issue:8410", + "accept": false, + "reason": "Two separate feature requests for different pipelines/models; not the same change." + }, + { + "left": "issue:10147", + "right": "issue:12239", + "accept": false, + "reason": "Different community feature requests for different video/multi-view models." + }, + { + "left": "issue:1037", + "right": "issue:2905", + "accept": false, + "reason": "One is a community pipeline request, the other is a scheduler enhancement; unrelated." + }, + { + "left": "issue:10512", + "right": "issue:9420", + "accept": false, + "reason": "Both touch FLUX/LoRA, but one is a load failure for Quanto Flux LoRA and the other is about loading a saved transformer after Hyper-SD LoRA; different concrete problems." + }, + { + "left": "issue:11005", + "right": "issue:8588", + "accept": false, + "reason": "A minor docstring/default mismatch is unrelated to a missing SD3 conversion script." + }, + { + "left": "issue:12221", + "right": "issue:13191", + "accept": false, + "reason": "Separate feature requests for different architectures and use cases." + }, + { + "left": "issue:1358", + "right": "issue:5162", + "accept": false, + "reason": "Safetensors format support and a conversion script to safetensors are related broadly, but they are not the same concrete bug/change." + }, + { + "left": "issue:5043", + "right": "issue:5285", + "accept": false, + "reason": "LoRA finetuning for Wurstchen and Japanese docs translation are completely unrelated." + }, + { + "left": "issue:6749", + "right": "issue:6906", + "accept": false, + "reason": "An InstantID replication issue and a broken LoRA DreamBooth example are different reports." + }, + { + "left": "issue:5395", + "right": "issue:6333", + "accept": false, + "reason": "Both mention PEFT/LoRA, but one is a bug combining LoRAs and the other is a feature request to finetune a pre-trained LoRA." + }, + { + "left": "issue:1405", + "right": "issue:2340", + "accept": false, + "reason": "Attention slicing regression and safety checker error in the tiny pipeline are unrelated." + }, + { + "left": "issue:8744", + "right": "issue:8939", + "accept": false, + "reason": "Model-loading-from-single-file training support and tokenizer loading for SD3 are different concerns." + }, + { + "left": "issue:10412", + "right": "issue:11225", + "accept": false, + "reason": "Both are OOM reports, but they involve different training scripts, models, and validation/runtime contexts." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 218, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10178", + "issue:10350", + "issue:10382", + "issue:10636", + "issue:10672", + "issue:10887", + "issue:11555", + "issue:11569", + "issue:11839", + "issue:12107", + "issue:12108", + "issue:1214", + "issue:12470", + "issue:12505", + "issue:12575", + "issue:13067", + "issue:1655", + "issue:1791", + "issue:1801", + "issue:1896", + "issue:1949", + "issue:2392", + "issue:2466", + "issue:2728", + "issue:2947", + "issue:3698", + "issue:3767", + "issue:3799", + "issue:4492", + "issue:4534", + "issue:457", + "issue:5368", + "issue:541", + "issue:5502", + "issue:5595", + "issue:6094", + "issue:6363", + "issue:6452", + "issue:646", + "issue:6570", + "issue:7606", + "issue:8373", + "issue:8482", + "issue:851", + "issue:8552", + "issue:8604", + "issue:8780", + "issue:9799" + ], + "soft_pairs": [ + "issue:1791|issue:457", + "issue:1896|issue:2392", + "issue:3799|issue:8373", + "issue:5595|issue:6363", + "issue:6094|issue:8552", + "issue:1655|issue:3767", + "issue:4492|issue:4534", + "issue:11839|issue:12107", + "issue:1949|issue:2466", + "issue:10672|issue:8482", + "issue:12470|issue:13067", + "issue:1801|issue:646", + "issue:3698|issue:541", + "issue:5368|issue:5502", + "issue:6452|issue:8780", + "issue:10636|issue:8604", + "issue:1214|issue:851", + "issue:2728|issue:2947", + "issue:7606|issue:9799", + "issue:11555|issue:12505", + "issue:12108|issue:12575", + "issue:10350|issue:10382", + "issue:10178|issue:6570", + "issue:10887|issue:11569" + ], + "prepared_review_unit_hash": "c4844f42a7982f2576862b823489b041ccfaa7d34ad611e125994c123487387b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33868, + "estimated_input_tokens": 8467, + "estimated_eval_tokens": 17190 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The proposed soft pairs are mostly false positives: many share only broad subsystem terms (MPS, fp16, dtype, pipeline names) but describe different failures, feature requests, or code paths. No single duplicate cluster emerges.", + "confidence": 0.94, + "canonical_issue_reason": "No canonical issue: the items are heterogeneous and do not share one underlying bug/change closely enough to justify merging them into a duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a clearly safe representative for the whole set; at most a few share broad themes, but none is a strong canonical anchor.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1791", + "right": "issue:457", + "accept": false, + "reason": "Both involve MPS, but one is an unsupported pipeline on Mac/MPS and the other is blue artifacts; different symptoms and likely different causes." + }, + { + "left": "issue:1896", + "right": "issue:2392", + "accept": false, + "reason": "Both mention prompt/embed-related failures, but one is a dict size/type error in CLIP-guided SD and the other is an img2img prompt validation issue." + }, + { + "left": "issue:3799", + "right": "issue:8373", + "accept": false, + "reason": "An inferred type issue and an incorrect error message are unrelated bug classes." + }, + { + "left": "issue:5595", + "right": "issue:6363", + "accept": false, + "reason": "One is a height/width divisibility validation error; the other is FP16 gradient scaling during training." + }, + { + "left": "issue:6094", + "right": "issue:8552", + "accept": false, + "reason": "Both hit TextToVideoZeroPipeline, but one is a post-update regression and the other is a segmentation fault; not the same concrete bug." + }, + { + "left": "issue:1655", + "right": "issue:3767", + "accept": false, + "reason": "Pipeline initialization failure and FrozenDict mutability are different problems." + }, + { + "left": "issue:4492", + "right": "issue:4534", + "accept": false, + "reason": "A JSON boolean NameError and an SDXL dreambooth MPS crash are unrelated." + }, + { + "left": "issue:11839", + "right": "issue:12107", + "accept": false, + "reason": "GGUF input-size failure in FluxKontextPipeline vs accelerator tracker handling of custom objects; no shared bug." + }, + { + "left": "issue:1949", + "right": "issue:2466", + "accept": false, + "reason": "Dreambooth tutorial training errors and checkpoint limit behavior are distinct issues." + }, + { + "left": "issue:10672", + "right": "issue:8482", + "accept": false, + "reason": "Callback support for pipelines and support for stable-diffusion-3-medium are unrelated feature requests." + }, + { + "left": "issue:12470", + "right": "issue:13067", + "accept": false, + "reason": "Quantizer API additions and adding support for Anima are different change requests." + }, + { + "left": "issue:1801", + "right": "issue:646", + "accept": false, + "reason": "A getattr argument-type error and a missing set_format attribute on PNDMScheduler are not the same defect." + }, + { + "left": "issue:3698", + "right": "issue:541", + "accept": false, + "reason": "Converting an inpainting model to diffusers and Diffusers on SageMaker are unrelated topics." + }, + { + "left": "issue:5368", + "right": "issue:5502", + "accept": false, + "reason": "Both touch FP16, but one is a runtime Q/K/V dtype mismatch and the other is a script not supporting fp16; not the same bug." + }, + { + "left": "issue:6452", + "right": "issue:8780", + "accept": false, + "reason": "Masked image latents support and a generic model/input dtype mismatch are different issues." + }, + { + "left": "issue:10636", + "right": "issue:8604", + "accept": false, + "reason": "A bug in value_guided_sampling.py and corrupted images from float16 T5 conversion are unrelated." + }, + { + "left": "issue:1214", + "right": "issue:851", + "accept": false, + "reason": "Both are half-precision/dtype complaints, but one is CLIPTextModel-specific and the other is a generic float-vs-half mismatch; too broad to merge." + }, + { + "left": "issue:2728", + "right": "issue:2947", + "accept": false, + "reason": "Loading safetensors via from_pretrained and missing load_attn_procs are different UNet API problems." + }, + { + "left": "issue:7606", + "right": "issue:9799", + "accept": false, + "reason": "A deprecation notice for a LoRA processor and a tensor-size mismatch runtime error are unrelated." + }, + { + "left": "issue:11555", + "right": "issue:12505", + "accept": false, + "reason": "device_map=\"auto\" support and a tgate error in img2img pipelines are different code paths and fixes." + }, + { + "left": "issue:12108", + "right": "issue:12575", + "accept": false, + "reason": "A scheduler/flow-matching break in Qwen Image and Chroma versus attention-backend checks in Chroma are related only by model family, not by the same underlying bug." + }, + { + "left": "issue:10350", + "right": "issue:10382", + "accept": false, + "reason": "VAE decoder memory use and an encoder return-type AttributeError are separate autoencoder bugs." + }, + { + "left": "issue:10178", + "right": "issue:6570", + "accept": false, + "reason": "Both are tensor size mismatch errors, but they occur in different models/pipelines and likely different shape logic." + }, + { + "left": "issue:10887", + "right": "issue:11569", + "accept": false, + "reason": "Importing StableDiffusionXLTrainer and requesting a diffusers repo for LTXV are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 219, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:10512", + "issue:10896", + "issue:10954", + "issue:10986", + "issue:11687", + "issue:11779", + "issue:11922", + "issue:1197", + "issue:1205", + "issue:12060", + "issue:12624", + "issue:12738", + "issue:13277", + "issue:1358", + "issue:1440", + "issue:193", + "issue:2195", + "issue:2266", + "issue:2838", + "issue:2883", + "issue:3960", + "issue:3975", + "issue:4014", + "issue:4269", + "issue:4406", + "issue:459", + "issue:4790", + "issue:5538", + "issue:5628", + "issue:5731", + "issue:5824", + "issue:5849", + "issue:6016", + "issue:6374", + "issue:6513", + "issue:6866", + "issue:7267", + "issue:7640", + "issue:7936", + "issue:8577", + "issue:8624", + "issue:8939", + "issue:8968", + "issue:9101", + "issue:9599", + "issue:9680", + "issue:9690" + ], + "soft_pairs": [ + "issue:11687|issue:12624", + "issue:5849|issue:6374", + "issue:1358|issue:2838", + "issue:7267|issue:9680", + "issue:4790|issue:6016", + "issue:10986|issue:11779", + "issue:7936|issue:8968", + "issue:2195|issue:2883", + "issue:2266|issue:4269", + "issue:5538|issue:5731", + "issue:8624|issue:8939", + "issue:12738|issue:13277", + "issue:4014|issue:5824", + "issue:5628|issue:7640", + "issue:10100|issue:10896", + "issue:10954|issue:11922", + "issue:6513|issue:6866", + "issue:8577|issue:9101", + "issue:3960|issue:4406", + "issue:10512|issue:9690", + "issue:1197|issue:459", + "issue:1205|issue:1440", + "issue:12060|issue:9599", + "issue:193|issue:3975" + ], + "prepared_review_unit_hash": "3be1001fc8c7406ef9a1992ec1a766238c473864252891a59cbc25c522ae86b9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33850, + "estimated_input_tokens": 8463, + "estimated_eval_tokens": 17182 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated feature requests and bug reports across different pipelines/models. The only strong duplicate-like pair is the safetensors/LoRA HeaderTooLarge reports (3960 and 4406), which describe the same loading failure.", + "confidence": 0.88, + "canonical_issue_reason": "Issue 4406 is the clearest, most explicit report of the underlying bug: a safetensors header deserialization failure (HeaderTooLarge).", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4406 is the best representative issue because it states the exact error and is more searchable/diagnostic than the shorter variant.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11687", + "right": "issue:12624", + "accept": false, + "reason": "Different requests in different areas: docs for optimization frameworks vs adding a pipeline parameter." + }, + { + "left": "issue:5849", + "right": "issue:6374", + "accept": false, + "reason": "One is a training-script argparse error; the other is a LoRA-weight loading question in a different model flow." + }, + { + "left": "issue:1358", + "right": "issue:2838", + "accept": false, + "reason": "Safetensors support and ControlNet pipeline behavior are unrelated changes." + }, + { + "left": "issue:7267", + "right": "issue:9680", + "accept": false, + "reason": "Both are pipeline bugs, but they affect different pipelines and different failure modes." + }, + { + "left": "issue:4790", + "right": "issue:6016", + "accept": false, + "reason": "Both involve conversion tools, but the reported bugs are distinct and not clearly the same code-path failure." + }, + { + "left": "issue:10986", + "right": "issue:11779", + "accept": false, + "reason": "Different underlying bugs: MPS complex-double conversion vs Wan VACE mask padding." + }, + { + "left": "issue:7936", + "right": "issue:8968", + "accept": false, + "reason": "A specific invalid-json safetensors load error is not the same as general safetensors loading support." + }, + { + "left": "issue:2195", + "right": "issue:2883", + "accept": false, + "reason": "Both are video-related requests, but they ask for different pipeline capabilities." + }, + { + "left": "issue:2266", + "right": "issue:4269", + "accept": false, + "reason": "Performance slowdown from CPU offload is unrelated to a TypeError in check_inputs defaults." + }, + { + "left": "issue:5538", + "right": "issue:5731", + "accept": false, + "reason": "Different latent/decoder implementation concerns; not the same bug." + }, + { + "left": "issue:8624", + "right": "issue:8939", + "accept": false, + "reason": "Undefined symbol in a CUDA extension and tokenizer loading failure are unrelated." + }, + { + "left": "issue:12738", + "right": "issue:13277", + "accept": false, + "reason": "Both mention batch inputs, but they affect different pipelines with different assertions/failure causes." + }, + { + "left": "issue:4014", + "right": "issue:5824", + "accept": false, + "reason": "Watermark artifacts are unrelated to the SDXL add_time_ids default-value issue." + }, + { + "left": "issue:5628", + "right": "issue:7640", + "accept": false, + "reason": "Scheduler denoising offset and from_single_file dimension errors are different problems." + }, + { + "left": "issue:10100", + "right": "issue:10896", + "accept": false, + "reason": "Two separate model-support requests for different models." + }, + { + "left": "issue:10954", + "right": "issue:11922", + "accept": false, + "reason": "A LoRA loading failure and a FLUX.1-Fill-dev runtime problem are not the same bug." + }, + { + "left": "issue:6513", + "right": "issue:6866", + "accept": false, + "reason": "Different adapter-support requests for different model classes and pipelines." + }, + { + "left": "issue:8577", + "right": "issue:9101", + "accept": false, + "reason": "Different SD3-related requests: differential diffusion vs a training script." + }, + { + "left": "issue:3960", + "right": "issue:4406", + "accept": true, + "reason": "Both describe the same safetensors HeaderTooLarge failure while loading a LoRA; 4406 is just the clearer error report." + }, + { + "left": "issue:1197", + "right": "issue:459", + "accept": false, + "reason": "OpenAI Diffusion Pipeline request and Incremental Diffusion proposal are unrelated feature ideas." + }, + { + "left": "issue:1205", + "right": "issue:1440", + "accept": false, + "reason": "ONNX conversion and cache deletion are unrelated issues." + }, + { + "left": "issue:12060", + "right": "issue:9599", + "accept": false, + "reason": "A DiT-block API question is not the same as asking for a LoRA-only FLUX finetune example." + }, + { + "left": "issue:193", + "right": "issue:3975", + "accept": false, + "reason": "Generic pipeline error vs an error-message typo about safetensors installation; different scope." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: the listed pairs are conservatively judged unrelated based on their titles, and the only accepted duplicate-like pair, 3960/4406, is plausibly the same safetensors HeaderTooLarge LoRA-loading failure. No PR mergeability concerns apply here." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 220, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10054", + "issue:10336", + "issue:10542", + "issue:10639", + "issue:11352", + "issue:11519", + "issue:1181", + "issue:12239", + "issue:12504", + "issue:12606", + "issue:13430", + "issue:1350", + "issue:1594", + "issue:1962", + "issue:2210", + "issue:2332", + "issue:3087", + "issue:318", + "issue:319", + "issue:3325", + "issue:3444", + "issue:3623", + "issue:3698", + "issue:3891", + "issue:4014", + "issue:4232", + "issue:4674", + "issue:4788", + "issue:4949", + "issue:4964", + "issue:5160", + "issue:5687", + "issue:5710", + "issue:5886", + "issue:5960", + "issue:6136", + "issue:671", + "issue:6935", + "issue:7569", + "issue:7661", + "issue:7782", + "issue:7882", + "issue:8504", + "issue:8723", + "issue:9101", + "issue:938", + "issue:9450", + "issue:9680" + ], + "soft_pairs": [ + "issue:4674|issue:4788", + "issue:8504|issue:9101", + "issue:10639|issue:12239", + "issue:10542|issue:9680", + "issue:11519|issue:13430", + "issue:1181|issue:3698", + "issue:2210|issue:5160", + "issue:2332|issue:4232", + "issue:4964|issue:7782", + "issue:1350|issue:3087", + "issue:1594|issue:4949", + "issue:1962|issue:3444", + "issue:318|issue:3891", + "issue:5687|issue:5710", + "issue:6935|issue:7882", + "issue:3325|issue:5960", + "issue:4014|issue:8723", + "issue:6136|issue:7569", + "issue:5886|issue:7661", + "issue:10336|issue:9450", + "issue:3623|issue:671", + "issue:10054|issue:12606", + "issue:11352|issue:12504", + "issue:319|issue:938" + ], + "prepared_review_unit_hash": "693f55c2c16df747b4bc9bb4f5949d93b3085f00e7995b86973962e737b38e95", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33269, + "estimated_input_tokens": 8318, + "estimated_eval_tokens": 16892 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a loose collection of unrelated issues and feature requests across different models, pipelines, and bug classes. The soft-similarity pairs only share broad topical overlap, not the same underlying defect or change, so none should be merged as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6136 is the strongest standalone bug report here: it describes a concrete, reproducible failure (`nans`) with a specific model, device, and version context, making it the most representative issue if a single one must be chosen.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4674", + "right": "issue:4788", + "accept": false, + "reason": "Both are memory-related, but one is a DiffusionPipeline memory leak when changing width/height and the other is SDXL inpaint OOM on 6 GB VRAM; different failure modes and likely different fixes." + }, + { + "left": "issue:8504", + "right": "issue:9101", + "accept": false, + "reason": "Different requests: SD3 text-encoder selection for training versus adding an InstructPix2Pix training script for SD3." + }, + { + "left": "issue:10639", + "right": "issue:12239", + "accept": false, + "reason": "Support requests for different models (Lumina-Image 2.0 vs InfiniteTalk); 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different functionality." + }, + { + "left": "issue:1962", + "right": "issue:3444", + "accept": false, + "reason": "Stable Diffusion video generation and ImageBind audio-to-image integration are different features and code paths." + }, + { + "left": "issue:318", + "right": "issue:3891", + "accept": false, + "reason": "Both are TTS-related, but Grad-TTS and Tortoise TTS are distinct models and implementation requests." + }, + { + "left": "issue:5687", + "right": "issue:5710", + "accept": false, + "reason": "Scheduler-adjacent bugs, but one is duplicate timesteps in Karras-sigma Img2Img and the other is missing `self.sigmas` initialization in a different scheduler." + }, + { + "left": "issue:6935", + "right": "issue:7882", + "accept": false, + "reason": "IP-Adapter face ID support and T2I-Adapter `from_single_file` support are unrelated features." + }, + { + "left": "issue:3325", + "right": "issue:5960", + "accept": false, + "reason": "Different training-time failures: CUDA invalid argument in Dreambooth versus invalid cast warning in ControlNet SDXL training." + }, + { + "left": "issue:4014", + "right": "issue:8723", + "accept": false, + "reason": "SDXL watermark artifacts and SD3ControlNetModel initialization errors are separate bugs in different components." + }, + { + "left": "issue:6136", + "right": "issue:7569", + "accept": false, + "reason": "SD2.1 NaNs on Mac CPU and a failing FreeU Mac test are not the same issue." + }, + { + "left": "issue:5886", + "right": "issue:7661", + "accept": false, + "reason": "IP-Adapter face model support versus making AnimateDiff work with an IP-Adapter-loaded UNet are different requests." + }, + { + "left": "issue:10336", + "right": "issue:9450", + "accept": false, + "reason": "Sana activation explosion/clamping and Flux multi-GPU device mismatch are unrelated bugs." + }, + { + "left": "issue:3623", + "right": "issue:671", + "accept": false, + "reason": "Unable to load larger models and converted models not being identical are different problems." + }, + { + "left": "issue:10054", + "right": "issue:12606", + "accept": false, + "reason": "Wrong `torch.linspace` parameters in beta-sigma testing and a wrong import in a conversion script are unrelated." + }, + { + "left": "issue:11352", + "right": "issue:12504", + "accept": false, + "reason": "Both mention warnings, but one is a bitsandbytes CPU-move warning and the other is a FreeU ComplexHalf warning; different code paths." + }, + { + "left": "issue:319", + "right": "issue:938", + "accept": false, + "reason": "VQ-Diffusion and Human Motion Diffusion Model are entirely different model requests." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 221, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10210", + "issue:10336", + "issue:10513", + "issue:10514", + "issue:10650", + "issue:10800", + "issue:1083", + "issue:10932", + "issue:10962", + "issue:11006", + "issue:11148", + "issue:12396", + "issue:1791", + "issue:2203", + "issue:2228", + "issue:2364", + "issue:2947", + "issue:3032", + "issue:3085", + "issue:3861", + "issue:3973", + "issue:4674", + "issue:4692", + "issue:4704", + "issue:4835", + "issue:490", + "issue:4936", + "issue:5044", + "issue:5372", + "issue:539", + "issue:5743", + "issue:5824", + "issue:5889", + "issue:5897", + "issue:6028", + "issue:7232", + "issue:730", + "issue:760", + "issue:7611", + "issue:7799", + "issue:7991", + "issue:834", + "issue:8930", + "issue:9392", + "issue:9485", + "issue:987", + "issue:9953" + ], + "soft_pairs": [ + "issue:5743|issue:5897", + "issue:5372|issue:5824", + "issue:2364|issue:4704", + "issue:4674|issue:490", + "issue:2228|issue:3861", + "issue:4835|issue:8930", + "issue:5889|issue:7232", + "issue:539|issue:987", + "issue:7611|issue:7799", + "issue:3085|issue:3973", + "issue:2947|issue:4692", + "issue:10650|issue:10962", + "issue:10800|issue:10932", + "issue:10210|issue:11006", + "issue:5044|issue:6028", + "issue:2203|issue:730", + "issue:10513|issue:12396", + "issue:3032|issue:3861", + "issue:4936|issue:7991", + "issue:9392|issue:9485", + "issue:1791|issue:760", + "issue:10336|issue:10514", + "issue:11148|issue:9953", + "issue:1083|issue:834" + ], + "prepared_review_unit_hash": "84485227691db66a2e6eab08c3729335b0788e946a2876f89b86add394e8dbc2", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33494, + "estimated_input_tokens": 8374, + "estimated_eval_tokens": 17004 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is heterogeneous: these issues span unrelated pipelines, models, and failure modes. The soft-similarity links are mostly superficial and should not be treated as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical duplicate exists here; the issues cover distinct bugs across Flux, Sana, Lumina, HunyuanVideo, PEFT, Kandinsky, and training/tooling topics.", + "canonical_pr_reason": null, + "best_issue_reason": "If a representative issue must be chosen, issue:11148 is one of the most concrete and actionable bug reports, but it is not a duplicate representative of the rest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5743", + "right": "issue:5897", + "accept": false, + "reason": "Different failures: training stuck at 0% vs LoRA device-mismatch during DreamBooth." + }, + { + "left": "issue:5372", + "right": "issue:5824", + "accept": false, + "reason": "Both involve SDXL, but one is about safety_checker usage and the other is a specific add_time_ids default bug." + }, + { + "left": "issue:2364", + "right": "issue:4704", + "accept": false, + "reason": "Unrelated training-script failures; generic training script error is not the same as custom diffusion script failure." + }, + { + "left": "issue:4674", + "right": "issue:490", + "accept": false, + "reason": "Both mention memory, but one is a width/height switching leak and the other is a broad memory complaint." + }, + { + "left": "issue:2228", + "right": "issue:3861", + "accept": false, + "reason": "One is a GPU-loading problem, the other is confusion about Pipeline.from_pretrained naming." + }, + { + "left": "issue:4835", + "right": "issue:8930", + "accept": false, + "reason": "Different ControlNet img2img bugs: MultiControlNetModel handling vs pose-image adherence." + }, + { + "left": "issue:5889", + "right": "issue:7232", + "accept": false, + "reason": "One is stable video diffusion, the other is a support request for multimodal diffusion transformers." + }, + { + "left": "issue:539", + "right": "issue:987", + "accept": false, + "reason": "Snapshot-download keyword argument error vs unexpected green image output; unrelated." + }, + { + "left": "issue:7611", + "right": "issue:7799", + "accept": false, + "reason": "Different tensor-shape failures in different pipelines and code paths." + }, + { + "left": "issue:3085", + "right": "issue:3973", + "accept": false, + "reason": "Same API-error pattern, but different removed/unsupported kwargs and different code paths." + }, + { + "left": "issue:2947", + "right": "issue:4692", + "accept": false, + "reason": "Missing load_attn_procs attribute is unrelated to a UNet memory issue." + }, + { + "left": "issue:10650", + "right": "issue:10962", + "accept": false, + "reason": "Both are shape-related, but they affect different models and mechanisms." + }, + { + "left": "issue:10800", + "right": "issue:10932", + "accept": false, + "reason": "Quantized offload uint8 error is unrelated to torch.compile hitting recompile_limit." + }, + { + "left": "issue:10210", + "right": "issue:11006", + "accept": false, + "reason": "Different symptoms and pipelines: img2img output too similar vs broken Wan video output with quantization." + }, + { + "left": "issue:5044", + "right": "issue:6028", + "accept": false, + "reason": "Kandinsky 2.2 load failure is not the same as Kandinsky 3.0 OOM." + }, + { + "left": "issue:2203", + "right": "issue:730", + "accept": false, + "reason": "Model download location issue vs DreamBooth learning quality issue; different problems." + }, + { + "left": "issue:10513", + "right": "issue:12396", + "accept": false, + "reason": "Colab/FLUX runtime errors are unrelated to leaf_level plus delete_adapters errors." + }, + { + "left": "issue:3032", + "right": "issue:3861", + "accept": false, + "reason": "Missing from_pretrained on a specific pipeline is not the same as a general Pipeline.from_pretrained naming question." + }, + { + "left": "issue:4936", + "right": "issue:7991", + "accept": false, + "reason": "DreamBooth resume regression and a basic training tutorial bug are different issues." + }, + { + "left": "issue:9392", + "right": "issue:9485", + "accept": false, + "reason": "Scheduler SNR-shift feature request vs moving scheduler tensors to GPU; different changes." + }, + { + "left": "issue:1791", + "right": "issue:760", + "accept": false, + "reason": "MPS support gap vs incorrect MPS output; same platform, different bugs." + }, + { + "left": "issue:10336", + "right": "issue:10514", + "accept": false, + "reason": "Sana activation clamping/explosion is unrelated to the sample_size 128 resolution-binning limitation." + }, + { + "left": "issue:11148", + "right": "issue:9953", + "accept": false, + "reason": "PEFT adapter state bug is unrelated to moving a quantized component to CUDA." + }, + { + "left": "issue:1083", + "right": "issue:834", + "accept": false, + "reason": "FP16 ONNX incorrect output and CPU underutilization are entirely different problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 222, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1013", + "issue:10202", + "issue:10334", + "issue:10411", + "issue:10490", + "issue:10529", + "issue:10596", + "issue:10671", + "issue:10760", + "issue:10767", + "issue:10817", + "issue:10873", + "issue:1101", + "issue:11046", + "issue:1117", + "issue:11351", + "issue:11886", + "issue:12321", + "issue:12459", + "issue:12666", + "issue:13034", + "issue:2089", + "issue:3010", + "issue:4210", + "issue:4332", + "issue:4534", + "issue:4616", + "issue:4631", + "issue:5026", + "issue:5285", + "issue:5545", + "issue:5595", + "issue:5646", + "issue:5689", + "issue:5951", + "issue:6091", + "issue:6222", + "issue:6518", + "issue:6783", + "issue:6794", + "issue:6928", + "issue:7793", + "issue:7842", + "issue:8410", + "issue:8589", + "issue:8612", + "issue:8647", + "issue:9972" + ], + "soft_pairs": [ + "issue:4616|issue:8647", + "issue:11886|issue:12459", + "issue:10411|issue:6518", + "issue:10817|issue:8589", + "issue:6091|issue:6222", + "issue:7793|issue:7842", + "issue:6783|issue:8612", + "issue:5545|issue:5595", + "issue:5646|issue:5689", + "issue:4210|issue:4332", + "issue:4534|issue:4631", + "issue:2089|issue:5951", + "issue:1013|issue:5026", + "issue:10202|issue:11046", + "issue:10334|issue:9972", + "issue:10490|issue:12321", + "issue:10529|issue:6928", + "issue:10596|issue:6794", + "issue:10671|issue:10873", + "issue:10760|issue:13034", + "issue:10767|issue:8410", + "issue:1101|issue:5285", + "issue:1117|issue:3010", + "issue:11351|issue:12666" + ], + "prepared_review_unit_hash": "3f506db9b7104b1127588064b6f4c1f85d44a38a1b9b4163d08a04f9e4b71e8b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33576, + "estimated_input_tokens": 8394, + "estimated_eval_tokens": 17044 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose collection of unrelated diffusers issues; the soft edges are mostly title-similarity false positives rather than true duplicates.", + "confidence": 0.27, + "canonical_issue_reason": "No clear duplicate cluster emerges. If one issue must be treated as the best standalone representative, issue:10671 is the strongest concrete bug report with a specific code-path and inbound reference.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10671 is the most representative standalone bug report here: it is concrete, reproducible, and narrowly scoped to dtype/device behavior in DiffusionPipeline.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4616", + "right": "issue:8647", + "accept": false, + "reason": "Different problems: SDXL LoRA conversion failure vs ControlNet img2img NoneType error. Same broad area, but not the same bug or fix." + }, + { + "left": "issue:11886", + "right": "issue:12459", + "accept": false, + "reason": "Both involve FLUX/FluxKontext, but one is a general pipeline issue and the other is a batch inference throughput problem. Not the same concrete defect." + }, + { + "left": "issue:10411", + "right": "issue:6518", + "accept": false, + "reason": "Unrelated training questions around example scripts; one asks how to call training, the other reports a NoneType floor-division error in a different script." + }, + { + "left": "issue:10817", + "right": "issue:8589", + "accept": false, + "reason": "Different model families and symptoms: missing SD3 ControlNets in auto_pipeline vs SD3 DreamBooth prior-preservation training behavior." + }, + { + "left": "issue:6091", + "right": "issue:6222", + "accept": false, + "reason": "Both scheduler/decoder memory or batch-size issues, but the concrete failure modes and affected components differ." + }, + { + "left": "issue:7793", + "right": "issue:7842", + "accept": false, + "reason": "Both mention DeepFloyd/LoRA-like workflows, but one is LoRA unload error while the other is a stage-2 size-mismatch on non-divisible inputs." + }, + { + "left": "issue:6783", + "right": "issue:8612", + "accept": false, + "reason": "PixArt generation artifacts vs mixed-precision inference incompatibility are distinct bugs with different failure surfaces." + }, + { + "left": "issue:5545", + "right": "issue:5595", + "accept": false, + "reason": "Both are inpaint/size-related user problems, but one concerns StableDiffusionInpaintPipeline usage and the other is an explicit height/width divisibility validation error." + }, + { + "left": "issue:5646", + "right": "issue:5689", + "accept": false, + "reason": "Both discuss DPM/DPM++ behavior, but one is a broad stability complaint on a model and the other is residual noise in SDXL images." + }, + { + "left": "issue:4210", + "right": "issue:4332", + "accept": false, + "reason": "Attention mask usage in UNet2DConditionModel is unrelated to xformers failing in the kandinsky2.2 pipeline." + }, + { + "left": "issue:4534", + "right": "issue:4631", + "accept": false, + "reason": "Both are runtime failures during diffusion use, but one is an MPS validation crash in SDXL DreamBooth and the other is a scheduler scalar conversion error." + }, + { + "left": "issue:2089", + "right": "issue:5951", + "accept": false, + "reason": "DreamBooth OOM while training AltDiffusion is unrelated to PixArt training questions." + }, + { + "left": "issue:1013", + "right": "issue:5026", + "accept": false, + "reason": "StableDiffusionMegaPipeline compatibility with Diffusers 6.0 is unrelated to a KeyError for text_encoder in 0.21.0." + }, + { + "left": "issue:10202", + "right": "issue:11046", + "accept": false, + "reason": "Flux LoRA unloading bug is distinct from Flux pipeline inference with controlnet/inpainting/ip-adapter." + }, + { + "left": "issue:10334", + "right": "issue:9972", + "accept": false, + "reason": "Sana on MacOS producing grey/NaN outputs is unrelated to CogX on MacOS requesting a huge buffer." + }, + { + "left": "issue:10490", + "right": "issue:12321", + "accept": false, + "reason": "An open feature request for Infinity support is not the same as HunyuanImage-2.1 support." + }, + { + "left": "issue:10529", + "right": "issue:6928", + "accept": false, + "reason": "Missing DDIMInverseScheduler timestep option is unrelated to adding a depth-map colorization toggle." + }, + { + "left": "issue:10596", + "right": "issue:6794", + "accept": false, + "reason": "FluxControlPipeline shape error and a training_utils import error are different code paths and symptoms." + }, + { + "left": "issue:10671", + "right": "issue:10873", + "accept": false, + "reason": "Deterministic dtype/device bug in DiffusionPipeline is unrelated to SanaPipeline issues." + }, + { + "left": "issue:10760", + "right": "issue:13034", + "accept": false, + "reason": "ONNX legacy import failure is unrelated to WanPipeline height/width handling." + }, + { + "left": "issue:10767", + "right": "issue:8410", + "accept": false, + "reason": "FlashVideo integration question is not the same as a feature request to natively support TextDiffuser pipelines." + }, + { + "left": "issue:1101", + "right": "issue:5285", + "accept": false, + "reason": "Scheduler addition request and docs translation request are clearly unrelated." + }, + { + "left": "issue:1117", + "right": "issue:3010", + "accept": false, + "reason": "Negative-prompt test coverage and distributed multi-GPU docs do not describe the same change." + }, + { + "left": "issue:11351", + "right": "issue:12666", + "accept": false, + "reason": "Wan video processor dtype behavior is unrelated to Kandinsky 5.0 Video Pipeline availability in a specific release." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 223, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11352", + "issue:11519", + "issue:12108", + "issue:12338", + "issue:12358", + "issue:12599", + "issue:12645", + "issue:12754", + "issue:1305", + "issue:13191", + "issue:13377", + "issue:1398", + "issue:1530", + "issue:1541", + "issue:1919", + "issue:202", + "issue:2250", + "issue:2377", + "issue:2538", + "issue:2550", + "issue:2603", + "issue:2674", + "issue:2761", + "issue:2866", + "issue:2883", + "issue:2972", + "issue:2984", + "issue:3073", + "issue:3093", + "issue:3111", + "issue:3113", + "issue:3159", + "issue:3817", + "issue:3838", + "issue:3843", + "issue:4386", + "issue:4390", + "issue:4630", + "issue:4912", + "issue:5442", + "issue:5877", + "issue:6928", + "issue:7264", + "issue:7365", + "issue:940", + "issue:9471", + "issue:9744" + ], + "soft_pairs": [ + "issue:11352|issue:12599", + "issue:11519|issue:13191", + "issue:12108|issue:12645", + "issue:12338|issue:9471", + "issue:12358|issue:9744", + "issue:12754|issue:13377", + "issue:1305|issue:3073", + "issue:1398|issue:940", + "issue:1530|issue:1919", + "issue:1541|issue:5877", + "issue:202|issue:2377", + "issue:2250|issue:2603", + "issue:2538|issue:6928", + "issue:2550|issue:3843", + "issue:2674|issue:4390", + "issue:2761|issue:3159", + "issue:2866|issue:4386", + "issue:2883|issue:3838", + "issue:2972|issue:7365", + "issue:2984|issue:3817", + "issue:3093|issue:4630", + "issue:3111|issue:4912", + "issue:3111|issue:7264", + "issue:3113|issue:5442" + ], + "prepared_review_unit_hash": "8d12526b4a69b1887274f7fa37673036c9f4042b8b58d1484f84c2d45c1608bf", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32606, + "estimated_input_tokens": 8152, + "estimated_eval_tokens": 16560 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is a grab bag of unrelated bugs, feature requests, and docs/tests work across different pipelines and model types. None of the suggested soft edges look like the same underlying issue, so I would not merge any of them into a duplicate cluster.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11352", + "right": "issue:12599", + "accept": false, + "reason": "Both are performance/device-related, but one is about 8-bit quantized pipeline moves to CPU lacking a warning and the other is about slow CUDA transfer after loading; different bug paths." + }, + { + "left": "issue:11519", + "right": "issue:13191", + "accept": false, + "reason": "MAGI-1 support request vs Elastic-DiT support request; both are feature requests for different models, not duplicates." + }, + { + "left": "issue:12108", + "right": "issue:12645", + "accept": false, + "reason": "Qwen Image/Chroma scheduler breakage is a specific flow-matching scheduler bug, while the other is a general inference-speed comparison question." + }, + { + "left": "issue:12338", + "right": "issue:9471", + "accept": false, + "reason": "AutoencoderDC VAE slicing decode bug is unrelated to a file-extension/resource-type parsing error." + }, + { + "left": "issue:12358", + "right": "issue:9744", + "accept": false, + "reason": "Lumina-DiMOO pipeline request and Mochi video model request are separate feature requests for different models." + }, + { + "left": "issue:12754", + "right": "issue:13377", + "accept": false, + "reason": "One is about from_pipe defaulting to float32, the other about QwenImagePipeline silently disabling CFG with negative_prompt_embeds; different code paths and symptoms." + }, + { + "left": "issue:1305", + "right": "issue:3073", + "accept": false, + "reason": "Direct Inversion paper/reference vs a request to add consistency models; unrelated research/model requests." + }, + { + "left": "issue:1398", + "right": "issue:940", + "accept": false, + "reason": "Both mention MPS, but one is Stable Diffusion 2 on Apple Silicon and the other is LMSDiscreteScheduler crashing on MPS; not the same bug." + }, + { + "left": "issue:1530", + "right": "issue:1919", + "accept": false, + "reason": "Missing VQDiffusion learned embeddings vs missing dreambooth requirements; unrelated missing-feature/dependency issues." + }, + { + "left": "issue:1541", + "right": "issue:5877", + "accept": false, + "reason": "Dreambooth model-type detection/load failure is different from subprocess.CalledProcessError in training scripts." + }, + { + "left": "issue:202", + "right": "issue:2377", + "accept": false, + "reason": "A request for tests for unet_blocks is unrelated to EMAModel tests." + }, + { + "left": "issue:2250", + "right": "issue:2603", + "accept": false, + "reason": "Dreambooth prompt generation failure is unrelated to Attend-And-Excitte non-square image generation." + }, + { + "left": "issue:2538", + "right": "issue:6928", + "accept": false, + "reason": "Training text encoder option in a LoRA script is unrelated to disabling Marigold depthmap colorization." + }, + { + "left": "issue:2550", + "right": "issue:3843", + "accept": false, + "reason": "ControlNet conversion failure and global_step key not found are different conversion/training metadata issues." + }, + { + "left": "issue:2674", + "right": "issue:4390", + "accept": false, + "reason": "LoRA safetensors requirement/install issue is different from a generic missing requirements report." + }, + { + "left": "issue:2761", + "right": "issue:3159", + "accept": false, + "reason": "Documentation for UNet1DModel.extra_in_channels is unrelated to a specific typo in a different docs page." + }, + { + "left": "issue:2866", + "right": "issue:4386", + "accept": false, + "reason": "LoRA .bin to .safetensors conversion improvement is unrelated to asking whether SDXL LoRA conversion works at all." + }, + { + "left": "issue:2883", + "right": "issue:3838", + "accept": false, + "reason": "Image-to-video pipeline request and Video Composer request are both video-related but describe different pipelines/models." + }, + { + "left": "issue:2972", + "right": "issue:7365", + "accept": false, + "reason": "A loop variable assignment bug is unrelated to pooled_prompt_embeds being overwritten." + }, + { + "left": "issue:2984", + "right": "issue:3817", + "accept": false, + "reason": "Latent video diffusion paper/reference vs EDGE music-to-dance generation request; different tasks." + }, + { + "left": "issue:3093", + "right": "issue:4630", + "accept": false, + "reason": "Question about modifying noise directly is unrelated to post-loading LoRA weight modification." + }, + { + "left": "issue:3111", + "right": "issue:4912", + "accept": false, + "reason": "Custom conditioning encoder request and SDXL checkpoint conversion request are different feature areas." + }, + { + "left": "issue:3111", + "right": "issue:7264", + "accept": false, + "reason": "Custom conditioning encoder request is unrelated to serializing/loading custom transformers models." + }, + { + "left": "issue:3113", + "right": "issue:5442", + "accept": false, + "reason": "Training-free layout control and ScaleCrafter are distinct generation techniques; not the same bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 224, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:3171", + "issue:3221", + "issue:3338", + "issue:3406", + "issue:3444", + "issue:3728", + "issue:4052", + "issue:4264", + "issue:4311", + "issue:4312", + "issue:4386", + "issue:4524", + "issue:459", + "issue:4868", + "issue:4877", + "issue:5062", + "issue:5070", + "issue:5130", + "issue:5254", + "issue:5284", + "issue:5371", + "issue:5643", + "issue:5931", + "issue:6093", + "issue:6113", + "issue:6295", + "issue:6616", + "issue:6732", + "issue:692", + "issue:7147", + "issue:7237", + "issue:7377", + "issue:7440", + "issue:7456", + "issue:8410", + "issue:8451", + "issue:8495", + "issue:8593", + "issue:8792", + "issue:9001", + "issue:9026", + "issue:9298", + "issue:9331", + "issue:9417", + "issue:9454", + "issue:9793", + "issue:9902" + ], + "soft_pairs": [ + "issue:3171|issue:5070", + "issue:3221|issue:3338", + "issue:3406|issue:4311", + "issue:3406|issue:5062", + "issue:3444|issue:3728", + "issue:4052|issue:7440", + "issue:4264|issue:7456", + "issue:4312|issue:5371", + "issue:4386|issue:4877", + "issue:4524|issue:6616", + "issue:459|issue:692", + "issue:4868|issue:8495", + "issue:5130|issue:6732", + "issue:5254|issue:9001", + "issue:5284|issue:8410", + "issue:5643|issue:6113", + "issue:5931|issue:9793", + "issue:6093|issue:8451", + "issue:6295|issue:8792", + "issue:7147|issue:7377", + "issue:7237|issue:9902", + "issue:8593|issue:9454", + "issue:9026|issue:9298", + "issue:9331|issue:9417" + ], + "prepared_review_unit_hash": "86c29659e65df62024496450b21bc954ddf20c1be2debf64468bb2faee95e285", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32386, + "estimated_input_tokens": 8097, + "estimated_eval_tokens": 16450 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are a loose set of unrelated Diffusers issues (ControlNet, schedulers, pipelines, docs, and model availability). No pull requests are present. Most soft pairs are only superficially similar and do not describe the same concrete bug or change.", + "confidence": 0.86, + "canonical_issue_reason": "issue:9331 is the strongest canonical issue candidate: it is a concrete, well-scoped bug in FlowMatchEulerDiscreteScheduler with a clear failing code path and likely reproducible behavior.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9331 is the best standalone issue for triage because it is specific, technical, and actionable rather than a question or feature request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3171", + "right": "issue:5070", + "accept": false, + "reason": "Both mention ControlNet, but one is about LPW prompting and the other about adding flags to the controlnet example; different features, not the same bug." + }, + { + "left": "issue:3221", + "right": "issue:3338", + "accept": false, + "reason": "Load-attn-procs failure and slow import are unrelated code paths and symptoms." + }, + { + "left": "issue:3406", + "right": "issue:4311", + "accept": false, + "reason": "one concerns only_cross_attention behavior in Attention; the other is a local_files_only assignment error during loading. Different bugs." + }, + { + "left": "issue:3406", + "right": "issue:5062", + "accept": false, + "reason": "Attention behavior with only_cross_attention is not the same as a typo in attention processor naming." + }, + { + "left": "issue:3444", + "right": "issue:3728", + "accept": false, + "reason": "ImageBind/StableUnCLIP audio-to-image integration and a new shifted diffusion pipeline request are distinct feature requests." + }, + { + "left": "issue:4052", + "right": "issue:7440", + "accept": false, + "reason": "'from_single_file' missing and a dataset no longer available are unrelated issues." + }, + { + "left": "issue:4264", + "right": "issue:7456", + "accept": false, + "reason": "Missing SDXL example images and a missing raise statement are not the same underlying problem." + }, + { + "left": "issue:4312", + "right": "issue:5371", + "accept": false, + "reason": "SAG for inpainting/img2img and BLIP inpainting pipe support are separate pipeline feature requests." + }, + { + "left": "issue:4386", + "right": "issue:4877", + "accept": false, + "reason": "SDXL LoRA conversion and exposing noise_init_strength are unrelated LoRA topics." + }, + { + "left": "issue:4524", + "right": "issue:6616", + "accept": false, + "reason": "AnimateDiff support and classifier guidance are different model/pipeline features." + }, + { + "left": "issue:459", + "right": "issue:692", + "accept": false, + "reason": "Both are broad diffusion ideas, but one is incremental diffusion and the other asks for a fine-tuning example; not the same change." + }, + { + "left": "issue:4868", + "right": "issue:8495", + "accept": false, + "reason": "A __getattr__ AttributeError and an SD3 tokenizer enum parsing error are different failures." + }, + { + "left": "issue:5130", + "right": "issue:6732", + "accept": false, + "reason": "A scheduler usage question and missing documentation for trained_betas are not the same issue." + }, + { + "left": "issue:5254", + "right": "issue:9001", + "accept": false, + "reason": "Multi-ControlNet inpaint support and Auraflow aspect ratios are unrelated feature requests." + }, + { + "left": "issue:5284", + "right": "issue:8410", + "accept": false, + "reason": "ControlNet-LLLite support and native TextDiffuser pipeline support are different integrations." + }, + { + "left": "issue:5643", + "right": "issue:6113", + "accept": false, + "reason": "How to use ip-adapter controlnet and how to use models from sd_control_collection are separate usage questions." + }, + { + "left": "issue:5931", + "right": "issue:9793", + "accept": false, + "reason": "Non-deterministic generation and a progress bar not updating are different behaviors with different code paths." + }, + { + "left": "issue:6093", + "right": "issue:8451", + "accept": false, + "reason": "push_to_hub behavior in one training script and missing training details/script for SD1.x are not the same problem." + }, + { + "left": "issue:6295", + "right": "issue:8792", + "accept": false, + "reason": "Artifacts with a specific scheduler setting and image quality degradation migrating from automatic1111 are too broad and not the same concrete bug." + }, + { + "left": "issue:7147", + "right": "issue:7377", + "accept": false, + "reason": "Missing StableCascadeDecoderPipeline import and num_images_per_prompt handling in that pipeline are distinct issues." + }, + { + "left": "issue:7237", + "right": "issue:9902", + "accept": false, + "reason": "Missing EDMEulerScheduler and conda version stuck at 0.30.3 are unrelated." + }, + { + "left": "issue:8593", + "right": "issue:9454", + "accept": false, + "reason": "bfloat16 CPU noise generation in SD3 and a missing CogVideoX model are unrelated." + }, + { + "left": "issue:9026", + "right": "issue:9298", + "accept": false, + "reason": "Unexpected force_hook argument and missing Float8 storage are different compatibility errors." + }, + { + "left": "issue:9331", + "right": "issue:9417", + "accept": false, + "reason": "Both mention index_for_timestep, but 9331 reports a bug in the method while 9417 proposes an optimization to remove sequential nonzero() calls; not the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 225, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10204", + "issue:10382", + "issue:10447", + "issue:10584", + "issue:10737", + "issue:10833", + "issue:10928", + "issue:11010", + "issue:11109", + "issue:11223", + "issue:11258", + "issue:11329", + "issue:11363", + "issue:11570", + "issue:12338", + "issue:12605", + "issue:12656", + "issue:12981", + "issue:13377", + "issue:1815", + "issue:2906", + "issue:3177", + "issue:3748", + "issue:3765", + "issue:3880", + "issue:4229", + "issue:4520", + "issue:4631", + "issue:5313", + "issue:5710", + "issue:6256", + "issue:6385", + "issue:6506", + "issue:7082", + "issue:7322", + "issue:782", + "issue:7897", + "issue:8831", + "issue:9051", + "issue:9170", + "issue:9178", + "issue:9331", + "issue:9460", + "issue:9479", + "issue:9496", + "issue:954", + "issue:9610", + "issue:9637" + ], + "soft_pairs": [ + "issue:12338|issue:9637", + "issue:5313|issue:8831", + "issue:1815|issue:3177", + "issue:11329|issue:11570", + "issue:4229|issue:7322", + "issue:10584|issue:9331", + "issue:10447|issue:10928", + "issue:10204|issue:10833", + "issue:11109|issue:9178", + "issue:10737|issue:9051", + "issue:7897|issue:9170", + "issue:3765|issue:3880", + "issue:9460|issue:9496", + "issue:4631|issue:5710", + "issue:782|issue:954", + "issue:3748|issue:4520", + "issue:11223|issue:11363", + "issue:11010|issue:9479", + "issue:11258|issue:12981", + "issue:10382|issue:12656", + "issue:12605|issue:13377", + "issue:6385|issue:6506", + "issue:2906|issue:7082", + "issue:6256|issue:9610" + ], + "prepared_review_unit_hash": "6672d62beb4e046e65027640a3b4c4469d3bf8c1d4f48f9d6f47f1cb7404f782", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34124, + "estimated_input_tokens": 8531, + "estimated_eval_tokens": 17318 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are unrelated and should stay separate. The only accepted soft pair is issue:10584 vs issue:9331, which both describe the same FlowMatchEulerDiscreteScheduler index_for_timestep failure. The inpainting-related pair issue:3765 vs issue:3880 is not a duplicate and remains rejected.", + "confidence": 0.85, + "canonical_issue_reason": "issue:3880 is the clearest original report for the inpainting degradation outside the masked area, while issue:9479 reads like a later paraphrase of the same symptom.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3880 is the strongest canonical issue candidate because it directly describes the core inpainting bug and appears to be the more established report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12338", + "right": "issue:9637", + "accept": false, + "reason": "Different bugs: AutoencoderDC VAE slicing/multi-image decoding versus XFormers attention-mask behavior with bf16 and sequence-length alignment." + }, + { + "left": "issue:5313", + "right": "issue:8831", + "accept": false, + "reason": "Both involve LoRA, but one is about non-revertible fuse behavior and the other about unsupported layers continuation; not the same concrete bug." + }, + { + "left": "issue:1815", + "right": "issue:3177", + "accept": false, + "reason": "Both touch training/DeepSpeed, but they describe different failures and code paths." + }, + { + "left": "issue:11329", + "right": "issue:11570", + "accept": false, + "reason": "Both involve bitsandbytes quantization, but one is a memory leak and the other is a .to() cast failure when loading LoRA weights." + }, + { + "left": "issue:4229", + "right": "issue:7322", + "accept": false, + "reason": "Multi-GPU accelerated training error versus SIGKILL/OOM during training are not the same underlying bug." + }, + { + "left": "issue:10584", + "right": "issue:9331", + "accept": true, + "reason": "These describe the same FlowMatchEulerDiscreteScheduler index_for_timestep problem from two angles; the titles point to the same method and failure mode." + }, + { + "left": "issue:10447", + "right": "issue:10928", + "accept": false, + "reason": "Related to model file handling, but one is a converter splitting UNet weights and the other is a missing fp16 bin during loading; not clearly the same bug." + }, + { + "left": "issue:10204", + "right": "issue:10833", + "accept": false, + "reason": "Both mention FluxFillPipeline, but one is iterative inpainting quality drift and the other is a matrix-shape mismatch with bitsandbytes quantization." + }, + { + "left": "issue:11109", + "right": "issue:9178", + "accept": false, + "reason": "Different LoRA-related failures: transformer layer mismatch versus PEFT target-module errors." + }, + { + "left": "issue:10737", + "right": "issue:9051", + "accept": false, + "reason": "One is missing image_encoder in FluxPipeline encode_image; the other is batch inference support. Distinct feature/bug reports." + }, + { + "left": "issue:7897", + "right": "issue:9170", + "accept": false, + "reason": "Both are GPU-related, but one is multi-GPU support and the other is high VRAM usage with SDXL+ControlNet." + }, + { + "left": "issue:3765", + "right": "issue:3880", + "accept": false, + "reason": "ControlNet training stacking artifacts and inpainting unmasked-area degradation are different behaviors and pipelines." + }, + { + "left": "issue:9460", + "right": "issue:9496", + "accept": false, + "reason": "Both concern SD3 ControlNet, but one is about assigning a list of models and the other is a forward-function error; not the same concrete issue." + }, + { + "left": "issue:4631", + "right": "issue:5710", + "accept": false, + "reason": "Both are DPMSolverSinglestepScheduler issues, but one is missing self.sigmas at init and the other is a scalar conversion problem with Karras sigmas." + }, + { + "left": "issue:782", + "right": "issue:954", + "accept": false, + "reason": "Authentication/download problems, but one is about use_auth_token removal and the other about loading after login; too different to merge." + }, + { + "left": "issue:3748", + "right": "issue:4520", + "accept": false, + "reason": "LoRA weight dtype mismatch versus attention slicing behavior are unrelated." + }, + { + "left": "issue:11223", + "right": "issue:11363", + "accept": false, + "reason": "Both can hit OOM, but they occur in different models and scenarios; not the same bug." + }, + { + "left": "issue:11010", + "right": "issue:9479", + "accept": false, + "reason": "A model-support request for Chroma/Flux architecture changes is unrelated to the inpainting mask regression." + }, + { + "left": "issue:11258", + "right": "issue:12981", + "accept": false, + "reason": "Different LTX generations and different failure modes: single-file support versus GGUF loading problems." + }, + { + "left": "issue:10382", + "right": "issue:12656", + "accept": false, + "reason": "VAE forward return-type mismatch and AuraFlow positional embedding OOB are unrelated." + }, + { + "left": "issue:12605", + "right": "issue:13377", + "accept": false, + "reason": "Both mention masks, but they affect different pipelines and different mechanisms (attention backend masking vs CFG/negative_prompt_embeds behavior)." + }, + { + "left": "issue:6385", + "right": "issue:6506", + "accept": false, + "reason": "Different StableVideoDiffusionPipeline issues: excessive VRAM versus wrong output type." + }, + { + "left": "issue:2906", + "right": "issue:7082", + "accept": false, + "reason": "Import/name resolution failures in different components and dependencies; not the same bug." + }, + { + "left": "issue:6256", + "right": "issue:9610", + "accept": false, + "reason": "Feature request for a callback versus adding load_lora_weights to an img2img pipeline are unrelated." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The issue cluster choice is mostly grounded, but the summary overstates the evidence: it claims an inpainting duplicate pair is genuine even though the only inpainting soft pair in the packet (3765 vs 3880) was rejected, and 3880 vs 9479 is not one of the listed soft pairs. Please keep the summary conservative and only mention pairs actually supported by the packet." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 226, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10111", + "issue:10231", + "issue:10883", + "issue:10897", + "issue:11555", + "issue:11592", + "issue:1185", + "issue:12108", + "issue:1231", + "issue:12653", + "issue:1417", + "issue:1708", + "issue:1857", + "issue:1934", + "issue:2016", + "issue:2507", + "issue:2532", + "issue:2784", + "issue:2984", + "issue:337", + "issue:3444", + "issue:3728", + "issue:3769", + "issue:4390", + "issue:4480", + "issue:4492", + "issue:5402", + "issue:6112", + "issue:6533", + "issue:6901", + "issue:7380", + "issue:7492", + "issue:775", + "issue:834", + "issue:8410", + "issue:8551", + "issue:8593", + "issue:8604", + "issue:8832", + "issue:9023", + "issue:9171", + "issue:9209", + "issue:9320", + "issue:9460", + "issue:9516", + "issue:9551", + "issue:9719", + "issue:984" + ], + "soft_pairs": [ + "issue:2507|issue:834", + "issue:11592|issue:8832", + "issue:3728|issue:6533", + "issue:1934|issue:984", + "issue:7492|issue:9209", + "issue:12108|issue:9460", + "issue:12108|issue:12653", + "issue:10111|issue:9516", + "issue:2784|issue:7380", + "issue:4480|issue:8604", + "issue:1185|issue:1708", + "issue:337|issue:775", + "issue:10231|issue:9023", + "issue:6112|issue:8593", + "issue:9320|issue:9719", + "issue:10897|issue:8410", + "issue:1417|issue:1857", + "issue:2984|issue:3444", + "issue:9171|issue:9719", + "issue:4390|issue:6901", + "issue:2532|issue:3769", + "issue:4492|issue:5402", + "issue:11555|issue:8551", + "issue:1231|issue:2016", + "issue:10883|issue:9551" + ], + "prepared_review_unit_hash": "4208c837c890e3096de5cf70ac3e74be3b901a8bd1a825d2e2dcc0be937307e9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34020, + "estimated_input_tokens": 8505, + "estimated_eval_tokens": 17266 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly heterogeneous: a mix of unrelated pipeline bugs, feature requests, and environment issues. The only credible duplicate pair is the StableDiffusionPanoramaPipeline quartered-image report and the get_views bug report; the rest share only broad subsystem keywords.", + "confidence": 0.67, + "canonical_issue_reason": "issue:2532 is the better canonical because it names the likely root cause (`get_views` in StableDiffusionPanoramaPipeline), while issue:3769 reads like the downstream symptom (quartered output).", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2532 is the strongest representative of the only true duplicate pair and is the most actionable/root-cause-oriented report in the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2507", + "right": "issue:834", + "accept": false, + "reason": "Both concern performance/utilization, but one is about safetensors GPU load speed and the other about CPU underutilization; too broad to be the same bug." + }, + { + "left": "issue:11592", + "right": "issue:8832", + "accept": false, + "reason": "Both are runtime failures, but they point to different pipelines and different failure modes; not the same concrete bug." + }, + { + "left": "issue:3728", + "right": "issue:6533", + "accept": false, + "reason": "Both are new-pipeline/feature style requests, but they target different models and different functionality." + }, + { + "left": "issue:1934", + "right": "issue:984", + "accept": false, + "reason": "One is a CPU offload memory complaint, the other is an interpolate/batch-size bug; unrelated code paths." + }, + { + "left": "issue:7492", + "right": "issue:9209", + "accept": false, + "reason": "Both involve loading models, but one is a missing repository error and the other is a mirror connectivity problem; different underlying causes." + }, + { + "left": "issue:12108", + "right": "issue:9460", + "accept": false, + "reason": "Different model families and different pipeline features; no shared concrete failure." + }, + { + "left": "issue:12108", + "right": "issue:12653", + "accept": false, + "reason": "Both mention model/runtime issues, but the bugs are distinct: flow-matching scheduler handling vs float64/MPS rope behavior." + }, + { + "left": "issue:10111", + "right": "issue:9516", + "accept": false, + "reason": "Both are FLUX-related, but one is a broad pipeline bug report and the other is a specific missing `joint_attention_kwargs` propagation issue." + }, + { + "left": "issue:2784", + "right": "issue:7380", + "accept": false, + "reason": "Both are feature requests for new diffusion capabilities, but they are different methods and different targets." + }, + { + "left": "issue:4480", + "right": "issue:8604", + "accept": false, + "reason": "Both involve fp16/MPS-type image corruption, but the reported pipelines and likely failing code paths differ." + }, + { + "left": "issue:1185", + "right": "issue:1708", + "accept": false, + "reason": "Dreambooth reproducibility and YAML inference config handling are different issues." + }, + { + "left": "issue:337", + "right": "issue:775", + "accept": false, + "reason": "Different symptoms: inpainting/img2img behavior vs fp16/autocast handling." + }, + { + "left": "issue:10231", + "right": "issue:9023", + "accept": false, + "reason": "Both are generic 'cannot run' reports, but one is an ImportError on Ubuntu tutorial code and the other is a sample code execution failure; not enough to match." + }, + { + "left": "issue:6112", + "right": "issue:8593", + "accept": false, + "reason": "Both mention noisy outputs, but they affect different models and hardware/dtype contexts." + }, + { + "left": "issue:9320", + "right": "issue:9719", + "accept": false, + "reason": "Training checkpoint save/load regression and progress-bar suppression are unrelated." + }, + { + "left": "issue:10897", + "right": "issue:8410", + "accept": false, + "reason": "Different requested model/pipeline integrations." + }, + { + "left": "issue:1417", + "right": "issue:1857", + "accept": false, + "reason": "CPU offloading implementation concern and poor testing of UnCLIP are not the same bug." + }, + { + "left": "issue:2984", + "right": "issue:3444", + "accept": false, + "reason": "Both are feature requests, but for different generation modalities and pipelines." + }, + { + "left": "issue:9171", + "right": "issue:9719", + "accept": false, + "reason": "Regression in single-file loading vs ignored progress-bar setting; different code paths." + }, + { + "left": "issue:4390", + "right": "issue:6901", + "accept": false, + "reason": "Missing requirements and missing scheduler method implementation are unrelated." + }, + { + "left": "issue:2532", + "right": "issue:3769", + "accept": true, + "reason": "These describe the same StableDiffusionPanoramaPipeline bug: a problem in `get_views` that manifests as quartered/incorrect panorama output." + }, + { + "left": "issue:4492", + "right": "issue:5402", + "accept": false, + "reason": "A JSON/Python boolean NameError and a missing `compute_snr` import are different issues." + }, + { + "left": "issue:11555", + "right": "issue:8551", + "accept": false, + "reason": "Both involve device placement, but one is a general `device_map=\"auto\"` question and the other is a specific VAE latent transfer bug." + }, + { + "left": "issue:1231", + "right": "issue:2016", + "accept": false, + "reason": "Different scheduler/sampling issues, not the same concrete failure." + }, + { + "left": "issue:10883", + "right": "issue:9551", + "accept": false, + "reason": "Marigold update/docs and using x-labs flux controlnet models are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: the StableDiffusionPanoramaPipeline pair is the only clearly matching duplicate, and the chosen canonical issue is justified by the more root-cause-oriented title. The other soft-edge rejections are conservative and do not overstate evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 227, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:10111", + "issue:10472", + "issue:10518", + "issue:10760", + "issue:10833", + "issue:10893", + "issue:11045", + "issue:11144", + "issue:11275", + "issue:11283", + "issue:11352", + "issue:11547", + "issue:11674", + "issue:11721", + "issue:12110", + "issue:12157", + "issue:12221", + "issue:12547", + "issue:13221", + "issue:13261", + "issue:1519", + "issue:1963", + "issue:2319", + "issue:2532", + "issue:3576", + "issue:4080", + "issue:4141", + "issue:4639", + "issue:5006", + "issue:5028", + "issue:5118", + "issue:5128", + "issue:5392", + "issue:5441", + "issue:5463", + "issue:5749", + "issue:5866", + "issue:5947", + "issue:6095", + "issue:6281", + "issue:7629", + "issue:785", + "issue:9031", + "issue:9038", + "issue:9576", + "issue:9619" + ], + "soft_pairs": [ + "issue:5118|issue:5866", + "issue:5749|issue:6095", + "issue:10100|issue:12221", + "issue:10893|issue:9619", + "issue:13221|issue:13261", + "issue:4141|issue:6281", + "issue:11144|issue:9576", + "issue:11283|issue:11674", + "issue:5128|issue:5463", + "issue:12157|issue:12547", + "issue:10111|issue:10518", + "issue:10760|issue:12110", + "issue:4080|issue:5947", + "issue:9031|issue:9038", + "issue:5006|issue:7629", + "issue:10893|issue:11547", + "issue:4639|issue:5441", + "issue:2319|issue:2532", + "issue:3576|issue:5028", + "issue:10472|issue:11275", + "issue:10833|issue:11352", + "issue:11045|issue:11721", + "issue:1963|issue:5392", + "issue:1519|issue:785" + ], + "prepared_review_unit_hash": "62e664d8703eb45c1b483763f8ec223a35d72cf8d6a7899e9a719cc3ac6338cf", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33596, + "estimated_input_tokens": 8399, + "estimated_eval_tokens": 17054 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set; it mixes unrelated feature requests, import/runtime bugs, training-script issues, and pipeline-specific regressions. The soft edges are only broad topic matches (e.g. ControlNet, LoRA, index errors) and do not look like the same underlying change or bug.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue: the items span many different pipelines, models, and failure modes, so there is no true duplicate anchor for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11045 is the strongest standalone bug report here: it has a concrete crash, a specific training script/model, and looks most actionable as a representative issue, but it does not unify the rest of the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5118", + "right": "issue:5866", + "accept": false, + "reason": "Both mention ControlNet, but one is a usage question about reference_only and the other is an AnimateDiff+ControlNet request; different underlying problems." + }, + { + "left": "issue:5749", + "right": "issue:6095", + "accept": false, + "reason": "Both are IndexError reports, but they affect different pipelines and likely different code paths; not the same bug." + }, + { + "left": "issue:10100", + "right": "issue:12221", + "accept": false, + "reason": "Both are feature requests for model support, but they target different integrations (ConsisID vs DiffSynth ControlNet)." + }, + { + "left": "issue:10893", + "right": "issue:9619", + "accept": false, + "reason": "Both are ControlNet-related, but one requests CogVideoX ControlNet integration and the other adds interrupt support to an existing pipeline; separate changes." + }, + { + "left": "issue:13221", + "right": "issue:13261", + "accept": false, + "reason": "Both involve LoRA support, but they concern different models and distinct failures; not the same underlying issue." + }, + { + "left": "issue:4141", + "right": "issue:6281", + "accept": false, + "reason": "Both touch multi-ControlNet functionality, but one is a behavior bug in an inpaint pipeline and the other is an import error for a symbol; different problems." + }, + { + "left": "issue:11144", + "right": "issue:9576", + "accept": false, + "reason": "One is a Flax dtype initialization bug and the other is a safetensors propagation issue during pipeline loading; unrelated code paths." + }, + { + "left": "issue:11283", + "right": "issue:11674", + "accept": false, + "reason": "Deserialization failure vs feature request for Wan VACE support; clearly different issues." + }, + { + "left": "issue:5128", + "right": "issue:5463", + "accept": false, + "reason": "Both are runtime errors, but one is about loading a single-file safetensors checkpoint and the other is an image_latents assignment bug; not duplicates." + }, + { + "left": "issue:12157", + "right": "issue:12547", + "accept": false, + "reason": "Different training/setup failures: one is a torch.device iteration error in quantization config handling, the other is a missing required CLI argument." + }, + { + "left": "issue:10111", + "right": "issue:10518", + "accept": false, + "reason": "Both mention FLUX/SD training issues, but they affect different scripts and error modes; no shared concrete bug." + }, + { + "left": "issue:10760", + "right": "issue:12110", + "accept": false, + "reason": "Import error for an ONNX pipeline class vs initialization bug in UNet1DModel; unrelated." + }, + { + "left": "issue:4080", + "right": "issue:5947", + "accept": false, + "reason": "Feature request for SDXL inpainting vs a policy/objective issue for Diffusion-DPO; no duplicate relation." + }, + { + "left": "issue:9031", + "right": "issue:9038", + "accept": false, + "reason": "Same FlaxStableDiffusionPipeline surface, but one asks about disabling the safety checker and the other about prompt weights; separate features." + }, + { + "left": "issue:5006", + "right": "issue:7629", + "accept": false, + "reason": "Both mention OOM, but the model, version, and scenario differ; not the same bug." + }, + { + "left": "issue:10893", + "right": "issue:11547", + "accept": false, + "reason": "Both are ControlNet support requests, but for different model families and integration scopes; too broad to be duplicates." + }, + { + "left": "issue:4639", + "right": "issue:5441", + "accept": false, + "reason": "Different training script failures in different projects/components; no shared concrete code-path." + }, + { + "left": "issue:2319", + "right": "issue:2532", + "accept": false, + "reason": "A typo in one loader method vs a get_views bug in a panorama pipeline; unrelated fixes." + }, + { + "left": "issue:3576", + "right": "issue:5028", + "accept": false, + "reason": "Both are TypeErrors, but they arise from different pipelines and patched functions; not the same underlying defect." + }, + { + "left": "issue:10472", + "right": "issue:11275", + "accept": false, + "reason": "One is a LoRA inference lora_bias keyword error, the other is a VAE NoneType addition error; different stack traces and causes." + }, + { + "left": "issue:10833", + "right": "issue:11352", + "accept": false, + "reason": "Both involve bitsandbytes quantization, but one is a matrix-shape runtime failure and the other is a missing CPU warning; not mergeable as one bug." + }, + { + "left": "issue:11045", + "right": "issue:11721", + "accept": false, + "reason": "Both are load crashes, but they involve different models and likely different initialization paths." + }, + { + "left": "issue:1963", + "right": "issue:5392", + "accept": false, + "reason": "One is about latent unconditional generation behavior, the other is a question on training an unconditional latent diffusion model; not the same issue." + }, + { + "left": "issue:1519", + "right": "issue:785", + "accept": false, + "reason": "Same StableDiffusionPipeline family, but one reports noisy batch outputs on Apple M2 and the other scheduler cost/performance; distinct bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 228, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10302", + "issue:10467", + "issue:10757", + "issue:10952", + "issue:1100", + "issue:11422", + "issue:12308", + "issue:1304", + "issue:1335", + "issue:1434", + "issue:1672", + "issue:2444", + "issue:3301", + "issue:3624", + "issue:3651", + "issue:4331", + "issue:4349", + "issue:4436", + "issue:463", + "issue:4880", + "issue:5112", + "issue:5474", + "issue:5523", + "issue:5873", + "issue:6054", + "issue:6087", + "issue:6095", + "issue:6162", + "issue:6283", + "issue:6323", + "issue:7138", + "issue:7611", + "issue:7682", + "issue:8523", + "issue:8565", + "issue:8708", + "issue:8744", + "issue:8939", + "issue:8997", + "issue:9147", + "issue:9297", + "issue:9393", + "issue:9397", + "issue:9471", + "issue:9505", + "issue:9713", + "issue:9902", + "issue:9941" + ], + "soft_pairs": [ + "issue:8523|issue:8997", + "issue:3301|issue:4331", + "issue:10757|issue:8939", + "issue:1672|issue:6087", + "issue:10302|issue:10467", + "issue:1335|issue:3624", + "issue:4880|issue:6054", + "issue:5474|issue:9713", + "issue:5873|issue:9902", + "issue:5112|issue:6283", + "issue:6095|issue:8565", + "issue:6162|issue:7611", + "issue:1434|issue:4349", + "issue:6323|issue:9505", + "issue:12308|issue:9397", + "issue:1304|issue:463", + "issue:4436|issue:8708", + "issue:7138|issue:8744", + "issue:9147|issue:9941", + "issue:7682|issue:9297", + "issue:11422|issue:9393", + "issue:3651|issue:5523", + "issue:1100|issue:2444", + "issue:10952|issue:9471" + ], + "prepared_review_unit_hash": "e72d77c3f2601ab08342c5b909dfc8beaa63c34410d27c6c98ffc164ea3536a0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34745, + "estimated_input_tokens": 8687, + "estimated_eval_tokens": 17630 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated issue titles that were linked by weak text similarity only; the soft pairs do not look like true duplicates or the same code change. I would keep issue #10302 as the broadest, clearest representative issue, but overall duplicate confidence is low.", + "confidence": 0.78, + "canonical_issue_reason": "#10302 is the clearest, most broadly framed bug report in the set and reads like a standalone product issue rather than a narrow example or environment-specific error.", + "canonical_pr_reason": null, + "best_issue_reason": "#10302 is the best representative issue because it describes a concrete runtime problem with a general impact and is not tied to a one-off filename/example artifact.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8523", + "right": "issue:8997", + "accept": false, + "reason": "Different runtime problems in different contexts: generic CUDA error in playground vs scheduler error in Kolors model." + }, + { + "left": "issue:3301", + "right": "issue:4331", + "accept": false, + "reason": "Both mention DreamBooth, but one is a failure report and the other is differing outputs between scripts; not the same bug." + }, + { + "left": "issue:10757", + "right": "issue:8939", + "accept": false, + "reason": "Rename-variable cleanup in a conversion script is unrelated to tokenizer loading OSError for SD3." + }, + { + "left": "issue:1672", + "right": "issue:6087", + "accept": false, + "reason": "Wrong output image size after conversion is unrelated to LoRA config persistence causing wrong lora_alpha at inference." + }, + { + "left": "issue:10302", + "right": "issue:10467", + "accept": false, + "reason": "FP8 inference noise is unrelated to a specific FLUX example-code/temp-file naming issue." + }, + { + "left": "issue:1335", + "right": "issue:3624", + "accept": false, + "reason": "Missing vae_encoder in ONNX pipeline init is different from getattr attribute-name type error." + }, + { + "left": "issue:4880", + "right": "issue:6054", + "accept": false, + "reason": "ControlNet image-argument validation error is unrelated to EulerDiscreteScheduler torch.from_numpy misuse." + }, + { + "left": "issue:5474", + "right": "issue:9713", + "accept": false, + "reason": "A new pipeline proposal is not the same as a Ctrlora training implementation request." + }, + { + "left": "issue:5873", + "right": "issue:9902", + "accept": false, + "reason": "ONNX export support for scaled_dot_product_attention is unrelated to a Conda version pin/stuck-version problem." + }, + { + "left": "issue:5112", + "right": "issue:6283", + "accept": false, + "reason": "Shape/type error in SDXL ControlNet Img2Img differs from the strength=0 behavior bug." + }, + { + "left": "issue:6095", + "right": "issue:8565", + "accept": false, + "reason": "SVD scheduler index error and SD3 LoRA load IndexError are different pipelines and failure modes." + }, + { + "left": "issue:6162", + "right": "issue:7611", + "accept": false, + "reason": "IP-Adapter shape mismatch and UNet tensor-size mismatch are distinct model-shape issues." + }, + { + "left": "issue:1434", + "right": "issue:4349", + "accept": false, + "reason": "OOM during upscaling is not the same as failing when text_encoder is absent despite prompt_embeds." + }, + { + "left": "issue:6323", + "right": "issue:9505", + "accept": false, + "reason": "TensorRT guidance_scale attribute handling is unrelated to a checkpoint key-missing upscale failure." + }, + { + "left": "issue:12308", + "right": "issue:9397", + "accept": false, + "reason": "Flash-attn GPU support and SGMUniform scheduler support for Hyper LoRAs are different feature requests." + }, + { + "left": "issue:1304", + "right": "issue:463", + "accept": false, + "reason": "A how-to training question is not the same as a super-resolution model feature request." + }, + { + "left": "issue:4436", + "right": "issue:8708", + "accept": false, + "reason": "Civitai safetensors conversion with VAE is unrelated to missing vae.config.shift_factor in SD3 DreamBooth examples." + }, + { + "left": "issue:7138", + "right": "issue:8744", + "accept": false, + "reason": "SDXL UNet structure mismatch is a model-architecture issue, not a request to use load-from-single-file for training." + }, + { + "left": "issue:9147", + "right": "issue:9941", + "accept": false, + "reason": "FLUX autopipeline error and stable diffusion colab error are generic but different runtime failures." + }, + { + "left": "issue:7682", + "right": "issue:9297", + "accept": false, + "reason": "Multi-GPU SD1.5 issues and linear LoRA load-time scaling are different performance/parallelism problems." + }, + { + "left": "issue:11422", + "right": "issue:9393", + "accept": false, + "reason": "Validation prompt crash in HiDream LoRA training is unrelated to Flux1 DreamBooth LoRA model-saving failure." + }, + { + "left": "issue:3651", + "right": "issue:5523", + "accept": false, + "reason": "Multi-GPU DreamBooth failure is distinct from inconsistent results across runs." + }, + { + "left": "issue:1100", + "right": "issue:2444", + "accept": false, + "reason": "CLIPTextTransformer device attribute error is unrelated to a subprocess non-zero exit in dreambooth inpaint training." + }, + { + "left": "issue:10952", + "right": "issue:9471", + "accept": false, + "reason": "LoRA adapter-name lookup error is unrelated to a multiple-file-extensions path/type inference error." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 229, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10025", + "issue:10057", + "issue:10334", + "issue:10336", + "issue:10712", + "issue:10896", + "issue:10954", + "issue:11050", + "issue:11137", + "issue:11222", + "issue:11519", + "issue:11721", + "issue:11724", + "issue:11779", + "issue:11907", + "issue:12195", + "issue:12771", + "issue:13300", + "issue:2294", + "issue:2606", + "issue:2838", + "issue:2844", + "issue:3338", + "issue:3679", + "issue:4005", + "issue:4043", + "issue:4116", + "issue:4349", + "issue:4399", + "issue:4542", + "issue:4779", + "issue:5009", + "issue:5034", + "issue:5897", + "issue:5934", + "issue:5947", + "issue:6351", + "issue:6593", + "issue:6866", + "issue:7185", + "issue:7982", + "issue:8482", + "issue:8885", + "issue:9248", + "issue:9374", + "issue:9516", + "issue:9958" + ], + "soft_pairs": [ + "issue:10896|issue:11519", + "issue:2294|issue:3338", + "issue:4116|issue:7185", + "issue:5947|issue:8482", + "issue:9374|issue:9958", + "issue:4043|issue:4349", + "issue:11721|issue:8885", + "issue:10334|issue:10336", + "issue:11907|issue:12771", + "issue:2606|issue:5897", + "issue:5034|issue:6351", + "issue:4399|issue:5934", + "issue:10025|issue:9516", + "issue:10712|issue:11050", + "issue:10954|issue:11724", + "issue:11137|issue:13300", + "issue:11222|issue:11779", + "issue:12195|issue:9248", + "issue:6866|issue:9958", + "issue:2838|issue:4005", + "issue:2844|issue:5009", + "issue:3679|issue:4779", + "issue:10057|issue:7982", + "issue:4542|issue:6593" + ], + "prepared_review_unit_hash": "e6d6a04f60cfe2d3f8791902e853a4d3674a95f0e91008549096ee80707a6da3", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33594, + "estimated_input_tokens": 8399, + "estimated_eval_tokens": 17054 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The candidate pairs are mostly false positives across different models, pipelines, or subsystems. I do not see any pair that clearly represents the same concrete bug/change, so I reject all soft edges and do not pick a canonical issue/PR.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10896", + "right": "issue:11519", + "accept": false, + "reason": "Both are support requests, but for different models (SkyReels-A1 vs MAGI-1) and different feature work; not the same bug/change." + }, + { + "left": "issue:2294", + "right": "issue:3338", + "accept": false, + "reason": "One is an import error for a missing pipeline class; the other is a general slow-import complaint. Different problems." + }, + { + "left": "issue:4116", + "right": "issue:7185", + "accept": false, + "reason": "Img2Img embedding support bug vs PyTorch version compatibility question; unrelated." + }, + { + "left": "issue:5947", + "right": "issue:8482", + "accept": false, + "reason": "Policy-objective request for Diffusion-DPO vs model support request for SD3-medium; no shared bug." + }, + { + "left": "issue:9374", + "right": "issue:9958", + "accept": false, + "reason": "AutoPipeline support for Flux pipelines vs AutoencoderKLTemporalDecoder tiling support; different features." + }, + { + "left": "issue:4043", + "right": "issue:4349", + "accept": false, + "reason": "Both involve prompt_embeds/SDXL, but the concrete failures differ and likely need separate fixes; not clearly one underlying bug." + }, + { + "left": "issue:11721", + "right": "issue:8885", + "accept": false, + "reason": "Sana load crash vs clip-retrieval installation/modifier-token issue; unrelated." + }, + { + "left": "issue:10334", + "right": "issue:10336", + "accept": false, + "reason": "Both are Sana numerical-stability reports, but one is MacOS/MPS/CPU output corruption and the other is activations/clamping; too indirect to treat as the same bug." + }, + { + "left": "issue:11907", + "right": "issue:12771", + "accept": false, + "reason": "General Flux scheduler incompatibility vs a specific DPMSolver out-of-bounds edge case; not the same concrete failure." + }, + { + "left": "issue:2606", + "right": "issue:5897", + "accept": false, + "reason": "DeepSpeed save_state hang vs training device-mismatch error; different code paths." + }, + { + "left": "issue:5034", + "right": "issue:6351", + "accept": false, + "reason": "Checkpoint progress-bar glitch vs DDP disable_adapters attribute error; unrelated." + }, + { + "left": "issue:4399", + "right": "issue:5934", + "accept": false, + "reason": "Both mention torch.compile, but one is specifically compile + CPU offload and the other is a broader compile error; not clearly mergeable as one fix." + }, + { + "left": "issue:10025", + "right": "issue:9516", + "accept": false, + "reason": "Attention-mask issue in Flux transformer vs joint_attention_kwargs not forwarded in Flux; related subsystem, but different bug." + }, + { + "left": "issue:10712", + "right": "issue:11050", + "accept": false, + "reason": "Inference RuntimeError with prompt_embeds vs training-script dtype casting bug; different concrete issues." + }, + { + "left": "issue:10954", + "right": "issue:11724", + "accept": false, + "reason": "Flux LoRA loading problem vs Chroma attention masking failure; unrelated models and failures." + }, + { + "left": "issue:11137", + "right": "issue:13300", + "accept": false, + "reason": "Latte dtype mismatch vs CPU generation failures for SD3.5/FLUX; broad dtype theme only, not the same bug." + }, + { + "left": "issue:11222", + "right": "issue:11779", + "accept": false, + "reason": "WAN LoRA support request vs Wan VACE mask-padding bug; feature request and bug fix are different." + }, + { + "left": "issue:12195", + "right": "issue:9248", + "accept": false, + "reason": "PyTorch 2.3.1 custom_op compatibility issue vs a generic install-upgrade request; not duplicates." + }, + { + "left": "issue:6866", + "right": "issue:9958", + "accept": false, + "reason": "IP-Adapter support request vs tiling support request; different feature additions." + }, + { + "left": "issue:2838", + "right": "issue:4005", + "accept": false, + "reason": "ControlNet pipeline behavior request vs inpaint aspect-ratio bug; unrelated." + }, + { + "left": "issue:2844", + "right": "issue:5009", + "accept": false, + "reason": "StableUnCLIP image-embedding runtime error vs Wuerstchen error; no shared bug." + }, + { + "left": "issue:3679", + "right": "issue:4779", + "accept": false, + "reason": "Two different model/pipeline support requests for video; not the same change." + }, + { + "left": "issue:10057", + "right": "issue:7982", + "accept": false, + "reason": "Flux single-file token loading vs from_pipe with MultiControlNetModel; different pipeline/component issues." + }, + { + "left": "issue:4542", + "right": "issue:6593", + "accept": false, + "reason": "Img2Img multi-image limitation vs LoRA-loading support request; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 230, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10227", + "issue:10231", + "issue:10382", + "issue:10492", + "issue:10514", + "issue:10705", + "issue:10952", + "issue:11570", + "issue:1261", + "issue:12610", + "issue:1314", + "issue:13191", + "issue:13232", + "issue:1536", + "issue:172", + "issue:177", + "issue:181", + "issue:2712", + "issue:3284", + "issue:3799", + "issue:4672", + "issue:5168", + "issue:5284", + "issue:5325", + "issue:5399", + "issue:5630", + "issue:5645", + "issue:5857", + "issue:5881", + "issue:5963", + "issue:6068", + "issue:6096", + "issue:6141", + "issue:6444", + "issue:6548", + "issue:6657", + "issue:6809", + "issue:6870", + "issue:7629", + "issue:7877", + "issue:8410", + "issue:8429", + "issue:8801", + "issue:8834", + "issue:8975", + "issue:9648", + "issue:9904", + "issue:9972" + ], + "soft_pairs": [ + "issue:4672|issue:8834", + "issue:6870|issue:9648", + "issue:5399|issue:8429", + "issue:10492|issue:6809", + "issue:5168|issue:8410", + "issue:5284|issue:8801", + "issue:6141|issue:7877", + "issue:5963|issue:9972", + "issue:10952|issue:11570", + "issue:172|issue:177", + "issue:13191|issue:13232", + "issue:3799|issue:5325", + "issue:5857|issue:5881", + "issue:6096|issue:7629", + "issue:10227|issue:10514", + "issue:181|issue:3284", + "issue:2712|issue:6444", + "issue:10705|issue:9904", + "issue:1536|issue:5645", + "issue:6548|issue:6657", + "issue:1261|issue:1314", + "issue:10231|issue:8975", + "issue:10382|issue:12610", + "issue:5630|issue:6068" + ], + "prepared_review_unit_hash": "df40feb53bc3635f7630a21c909eb8e64798d62e2b091dbe51466b70b5436d20", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34149, + "estimated_input_tokens": 8538, + "estimated_eval_tokens": 17332 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft links are mostly superficial keyword overlaps rather than true duplicates. The cluster is heterogeneous, with several unrelated bug reports and support requests; no PRs are present.", + "confidence": 0.74, + "canonical_issue_reason": "issue:6809 is the strongest representative of the LoRA-related subset: it describes a concrete regression in adapter loading with a clear failure mode and likely actionable code path.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6809 is the best issue to keep as the anchor because it is specific, technically grounded, and broader than the neighboring LoRA-adjacent reports without being a support question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4672", + "right": "issue:8834", + "accept": false, + "reason": "Both mention model support, but one is a VRAM/training problem and the other asks for SD3 ControlNet training code; different underlying requests." + }, + { + "left": "issue:6870", + "right": "issue:9648", + "accept": false, + "reason": "Same VAE tiling keyword, but one is about a missing pipeline option and the other about memory overflow when enabled; not the same bug." + }, + { + "left": "issue:5399", + "right": "issue:8429", + "accept": false, + "reason": "Both involve inference failures, but they are for different pipelines and different dtype/runtime behaviors." + }, + { + "left": "issue:10492", + "right": "issue:6809", + "accept": false, + "reason": "Both touch LoRA/quantization, but one is a torchao quantize+fuse error and the other is a PEFT adapter-loading regression; different failure paths." + }, + { + "left": "issue:5168", + "right": "issue:8410", + "accept": false, + "reason": "These are different feature requests: one is ControlNet-XS support, the other is native TextDiffuser pipeline support." + }, + { + "left": "issue:5284", + "right": "issue:8801", + "accept": false, + "reason": "Both are model/support requests, but they target different models and different integration work." + }, + { + "left": "issue:6141", + "right": "issue:7877", + "accept": false, + "reason": "One requests ControlNet parameter support and the other adds an Attention block out_dim argument; related area, but not the same change." + }, + { + "left": "issue:5963", + "right": "issue:9972", + "accept": false, + "reason": "Kandinsky 3.0 embed handling and CogX buffer allocation are unrelated bugs." + }, + { + "left": "issue:10952", + "right": "issue:11570", + "accept": false, + "reason": "Both involve LoRA loading, but one is an adapter-name mismatch and the other is a .to() cast failure on quantized text encoders; different code-path problems." + }, + { + "left": "issue:172", + "right": "issue:177", + "accept": false, + "reason": "One is about hiding the progress bar, the other is documentation for a from_pretrained argument." + }, + { + "left": "issue:13191", + "right": "issue:13232", + "accept": false, + "reason": "Both are future support requests, but for different models (Elastic-DiT vs LTX-2.3)." + }, + { + "left": "issue:3799", + "right": "issue:5325", + "accept": false, + "reason": "Type inference for a scheduler and packaging type information distribution are unrelated." + }, + { + "left": "issue:5857", + "right": "issue:5881", + "accept": false, + "reason": "Both mention AnimateDiff/LCM, but one is a specific LoRA compatibility issue and the other is a general quality comparison." + }, + { + "left": "issue:6096", + "right": "issue:7629", + "accept": false, + "reason": "SVD torch.compile dynamic shape failure and SVD OOM on PyTorch 1.13.1 are different runtime issues." + }, + { + "left": "issue:10227", + "right": "issue:10514", + "accept": false, + "reason": "LoRA feature-size limitation and Sana sample_size/resolution binning are unrelated model-configuration issues." + }, + { + "left": "issue:181", + "right": "issue:3284", + "accept": false, + "reason": "Image-writing failure in a training script is unrelated to the accelerate failure in DreamBooth LoRA training." + }, + { + "left": "issue:2712", + "right": "issue:6444", + "accept": false, + "reason": "A missing config key warning and a CLIPTextModel peft_config AttributeError are different bugs." + }, + { + "left": "issue:10705", + "right": "issue:9904", + "accept": false, + "reason": "Pipeline reuse slowing inference and silent image-shape rounding are unrelated Flux issues." + }, + { + "left": "issue:1536", + "right": "issue:5645", + "accept": false, + "reason": "Both concern custom/new pipeline behavior, but one is a custom pipeline compatibility break and the other is broken LCM support in core." + }, + { + "left": "issue:6548", + "right": "issue:6657", + "accept": false, + "reason": "RGBA img2img latent handling and swapped frames/channels in UNet3DConditionModel are different data-shape bugs." + }, + { + "left": "issue:1261", + "right": "issue:1314", + "accept": false, + "reason": "Both are xformers backward-pass failures, but one is a CUDA stride assert and the other is a Windows-specific backward error; not clearly the same bug." + }, + { + "left": "issue:10231", + "right": "issue:8975", + "accept": false, + "reason": "Ubuntu tutorial ImportError and missing LoraLoaderMixin import are different import/runtime problems." + }, + { + "left": "issue:10382", + "right": "issue:12610", + "accept": false, + "reason": "A VAE forward return-type mismatch and Quanto+Group Offload device mismatch are unrelated." + }, + { + "left": "issue:5630", + "right": "issue:6068", + "accept": false, + "reason": "Both affect SDXL sampling quality, but one is an LMS scheduler artifact and the other is a DDIM correctness bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 231, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10139", + "issue:10489", + "issue:10722", + "issue:10952", + "issue:11275", + "issue:11536", + "issue:11644", + "issue:12110", + "issue:1314", + "issue:1657", + "issue:170", + "issue:1742", + "issue:1909", + "issue:1925", + "issue:201", + "issue:2518", + "issue:3624", + "issue:3643", + "issue:3915", + "issue:3975", + "issue:4002", + "issue:4042", + "issue:4405", + "issue:444", + "issue:4578", + "issue:4913", + "issue:4954", + "issue:5171", + "issue:5485", + "issue:5598", + "issue:5607", + "issue:5678", + "issue:5846", + "issue:5866", + "issue:5989", + "issue:6460", + "issue:6809", + "issue:7012", + "issue:7591", + "issue:7606", + "issue:8612", + "issue:8708", + "issue:8874", + "issue:9138", + "issue:929", + "issue:9477", + "issue:9895" + ], + "soft_pairs": [ + "issue:1314|issue:5678", + "issue:170|issue:444", + "issue:201|issue:929", + "issue:2518|issue:4002", + "issue:4913|issue:5866", + "issue:5598|issue:5989", + "issue:5846|issue:7012", + "issue:1742|issue:1909", + "issue:4042|issue:6460", + "issue:10952|issue:6809", + "issue:5485|issue:8612", + "issue:10722|issue:7606", + "issue:1925|issue:3915", + "issue:3975|issue:7591", + "issue:3643|issue:5607", + "issue:4954|issue:8874", + "issue:11275|issue:9138", + "issue:1657|issue:4405", + "issue:4578|issue:8708", + "issue:5989|issue:9477", + "issue:10139|issue:11644", + "issue:11536|issue:9895", + "issue:10489|issue:12110", + "issue:3624|issue:5171" + ], + "prepared_review_unit_hash": "4f2dcbc0394e6951d0d46846d30bdb4c474dc6d1d7ac4274d1925c2a106fec36", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33487, + "estimated_input_tokens": 8372, + "estimated_eval_tokens": 17000 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is a loose grab bag of diffusers bug reports, mostly about pipeline initialization/loading/runtime edge cases. None of the suggested soft pairs look like true duplicates; they share broad subsystem words but not the same concrete failure mode.", + "confidence": 0.71, + "canonical_issue_reason": "#10139 is the broadest and most representative issue in the set: a generic pipeline-init bug around UNet sample_size handling, which best matches the cluster\u2019s overall init/loading theme.", + "canonical_pr_reason": null, + "best_issue_reason": "#10139 is the best single issue representative because it is general, well-scoped, and closer to the common theme than the highly specific loading/runtime reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1314", + "right": "issue:5678", + "accept": false, + "reason": "Both involve attention/autograd, but one is a Windows xformers backward error and the other is a higher-order-derivative issue in scaled_dot_product_attention; different code paths and symptoms." + }, + { + "left": "issue:170", + "right": "issue:444", + "accept": false, + "reason": "Scheduler-related errors, but one is an unexpected eta kwarg crash and the other is an indexing bug with certain num_inference_steps values; not the same defect." + }, + { + "left": "issue:201", + "right": "issue:929", + "accept": false, + "reason": "A test request for attention classes is unrelated to a question about duplicated sqrt math in attention blocks." + }, + { + "left": "issue:2518", + "right": "issue:4002", + "accept": false, + "reason": "One is about adding xformers support to a training example; the other is a missing from_single_file implementation for an inpaint pipeline." + }, + { + "left": "issue:4913", + "right": "issue:5866", + "accept": false, + "reason": "Both mention ControlNet, but one is a specific model/package issue and the other is AnimateDiff + ControlNet integration; too broad and different to merge." + }, + { + "left": "issue:5598", + "right": "issue:5989", + "accept": false, + "reason": "A bug in _modify_text_encoder is unrelated to a safetensors.torch bug." + }, + { + "left": "issue:5846", + "right": "issue:7012", + "accept": false, + "reason": "Checkpoint resume failure in an SDXL LoRA script is unrelated to odd images from v_prediction training." + }, + { + "left": "issue:1742", + "right": "issue:1909", + "accept": false, + "reason": "Both involve list inputs, but one is about inconsistent inference speed for repeated prompts and the other is a generator API mismatch between pipelines and schedulers." + }, + { + "left": "issue:4042", + "right": "issue:6460", + "accept": false, + "reason": "A usage question about combining reference-only with inpainting/depth control is not the same as an endless-loading bug when loading a specific inpainting model." + }, + { + "left": "issue:10952", + "right": "issue:6809", + "accept": false, + "reason": "Both concern LoRA loading, but one is an adapter-name mismatch in a specific pipeline and the other is PEFT-based loading incompatibility; different underlying causes." + }, + { + "left": "issue:5485", + "right": "issue:8612", + "accept": false, + "reason": "ControlNet batch slowdown and PixArt mixed-precision incompatibility are unrelated performance vs precision issues." + }, + { + "left": "issue:10722", + "right": "issue:7606", + "accept": false, + "reason": "A tensor-size mismatch during DreamBooth prior preservation is unrelated to a deprecated LoRA processor in Kandinsky 2.2." + }, + { + "left": "issue:1925", + "right": "issue:3915", + "accept": false, + "reason": "Half-precision inpainting failure and torch.compile not working for text-to-video are different pipeline/runtime problems." + }, + { + "left": "issue:3975", + "right": "issue:7591", + "accept": false, + "reason": "A typo in an error message is not the same as a local_files_only from_single_file header parsing failure." + }, + { + "left": "issue:3643", + "right": "issue:5607", + "accept": false, + "reason": "Different runtime tensor-shape/size failures in different parts of the stack; not the same bug." + }, + { + "left": "issue:4954", + "right": "issue:8874", + "accept": false, + "reason": "Both involve loading/unpickling, but one is textual inversion embedding loading and the other is CKPT model loading with weights-only failure; not the same concrete issue." + }, + { + "left": "issue:11275", + "right": "issue:9138", + "accept": false, + "reason": "The similar TypeError text is generic, but the affected code paths and reported contexts differ." + }, + { + "left": "issue:1657", + "right": "issue:4405", + "accept": false, + "reason": "A request for a Kaggle notebook is unrelated to creating an SDXL textual inversion training script." + }, + { + "left": "issue:4578", + "right": "issue:8708", + "accept": false, + "reason": "Both mention VAE/docs, but one is a documentation omission and the other is a missing config field in SD3 dreambooth examples; not duplicates." + }, + { + "left": "issue:5989", + "right": "issue:9477", + "accept": false, + "reason": "A safetensors bug and a GatheredParameters callable error are unrelated." + }, + { + "left": "issue:10139", + "right": "issue:11644", + "accept": false, + "reason": "Both are initialization-related, but one is about UNet sample_size handling in pipeline init and the other is an init-from-pretrained error for a specific LTX pipeline; different root causes." + }, + { + "left": "issue:11536", + "right": "issue:9895", + "accept": false, + "reason": "Prompt adherence regression in FluxPipeline and a device-placement error in FluxPipeline are distinct failures." + }, + { + "left": "issue:10489", + "right": "issue:12110", + "accept": false, + "reason": "A SanaPipeline example bug is unrelated to a UNet1DModel GaussianFourier time projection initialization issue." + }, + { + "left": "issue:3624", + "right": "issue:5171", + "accept": false, + "reason": "A getattr type error and an unexpected safety_checker argument error are unrelated API failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 232, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10239", + "issue:10314", + "issue:10446", + "issue:10450", + "issue:1100", + "issue:11721", + "issue:11973", + "issue:1363", + "issue:1524", + "issue:1922", + "issue:2310", + "issue:2332", + "issue:2466", + "issue:2712", + "issue:2783", + "issue:2830", + "issue:3029", + "issue:3109", + "issue:3591", + "issue:3661", + "issue:4125", + "issue:490", + "issue:5109", + "issue:5344", + "issue:5670", + "issue:579", + "issue:5927", + "issue:6363", + "issue:6565", + "issue:6812", + "issue:7276", + "issue:7303", + "issue:746", + "issue:7466", + "issue:7538", + "issue:7735", + "issue:8482", + "issue:8577", + "issue:8874", + "issue:9112", + "issue:9163", + "issue:9227", + "issue:9358", + "issue:9516", + "issue:953", + "issue:9637", + "issue:9778", + "issue:9876" + ], + "soft_pairs": [ + "issue:10239|issue:10314", + "issue:11721|issue:8874", + "issue:5670|issue:9112", + "issue:2310|issue:5927", + "issue:2332|issue:2830", + "issue:3029|issue:3591", + "issue:3109|issue:953", + "issue:3661|issue:5344", + "issue:1100|issue:5109", + "issue:1524|issue:2466", + "issue:2712|issue:579", + "issue:4125|issue:6565", + "issue:7538|issue:7735", + "issue:10446|issue:7466", + "issue:10450|issue:9516", + "issue:11973|issue:9163", + "issue:1922|issue:490", + "issue:2783|issue:7303", + "issue:7276|issue:9778", + "issue:8482|issue:8577", + "issue:9637|issue:9876", + "issue:9227|issue:9358", + "issue:6363|issue:6812", + "issue:1363|issue:746" + ], + "prepared_review_unit_hash": "0ef9958f1952ffdbbba0a528d149dc8e7ef153c12b8f1304426ba7c374091529", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34067, + "estimated_input_tokens": 8517, + "estimated_eval_tokens": 17290 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very noisy: the items are mostly unrelated GitHub issues that only share broad model/pipeline or training-script vocabulary. I would not merge any of the proposed soft edges.", + "confidence": 0.86, + "canonical_issue_reason": "No single issue cleanly represents the whole set because the cluster spans many unrelated bugs; if an anchor is needed, issue:9227 is the best candidate because it is an open, concrete repro with substantial discussion around a specific FLUX training failure.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9227 is the strongest standalone issue here: it is specific, open, and describes a concrete runtime problem on a named script/model rather than a vague request or a loosely related report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10239", + "right": "issue:10314", + "accept": false, + "reason": "Same pipeline family, but one is about CPU offload support and the other is NaN outputs; different bugs and different fixes." + }, + { + "left": "issue:11721", + "right": "issue:8874", + "accept": false, + "reason": "Both are load failures, but for different models and failure modes: SanaPipeline crash vs CKPT unpickling failure." + }, + { + "left": "issue:5670", + "right": "issue:9112", + "accept": false, + "reason": "Different pipelines and different concrete errors: non-square image support vs tensor shape mismatch in Auraflow." + }, + { + "left": "issue:2310", + "right": "issue:5927", + "accept": false, + "reason": "Unrelated inpainting-related topics; one is LDM inpainting cleanup, the other is IP-Adapter/reference inpaint composition." + }, + { + "left": "issue:2332", + "right": "issue:2830", + "accept": false, + "reason": "Dreambooth inference error and a question about video generation with ModelScope are not the same bug." + }, + { + "left": "issue:3029", + "right": "issue:3591", + "accept": false, + "reason": "One asks about custom ControlNet resolution, the other about loss-curve interpretation; not the same issue." + }, + { + "left": "issue:3109", + "right": "issue:953", + "accept": false, + "reason": "Both mention smaller images, but one is a feature request and the other is a general guidance question; not the same concrete bug or change." + }, + { + "left": "issue:3661", + "right": "issue:5344", + "accept": false, + "reason": "Different root causes: SD2 from_ckpt conversion failure vs missing omegaconf dependency." + }, + { + "left": "issue:1100", + "right": "issue:5109", + "accept": false, + "reason": "Different failures in different code paths: CLIPTextTransformer device attribute issue vs LoRA loading exception in a ControlNet img2img pipeline." + }, + { + "left": "issue:1524", + "right": "issue:2466", + "accept": false, + "reason": "Training quality complaint vs checkpoint retention not limiting; unrelated behaviors." + }, + { + "left": "issue:2712", + "right": "issue:579", + "accept": false, + "reason": "Missing config field warning and missing config.json are different configuration problems." + }, + { + "left": "issue:4125", + "right": "issue:6565", + "accept": false, + "reason": "Both concern training dynamics, but one asks whether a loss curve is expected and the other reports DPO training instability; not duplicate enough." + }, + { + "left": "issue:7538", + "right": "issue:7735", + "accept": false, + "reason": "Different dataset/training problems: custom fill50k style dataset issue vs missing caption_column value." + }, + { + "left": "issue:10446", + "right": "issue:7466", + "accept": false, + "reason": "Different model and code paths: FluxControlNet multi-GPU sharding vs SDXL inpaint torch.compile failure with multi-ControlNet." + }, + { + "left": "issue:10450", + "right": "issue:9516", + "accept": false, + "reason": "Different FLUX transformer concerns: implementation mismatch vs joint_attention_kwargs not being forwarded." + }, + { + "left": "issue:11973", + "right": "issue:9163", + "accept": false, + "reason": "A missing required CLI argument is not the same as general tensor bugs in the FLUX DreamBooth LoRA script." + }, + { + "left": "issue:1922", + "right": "issue:490", + "accept": false, + "reason": "Undefined helper in a notebook and GPU memory behavior are unrelated issues." + }, + { + "left": "issue:2783", + "right": "issue:7303", + "accept": false, + "reason": "ControlNet pipeline creation request and scheduler zero-SNR support are different feature topics." + }, + { + "left": "issue:7276", + "right": "issue:9778", + "accept": false, + "reason": "Dreambooth network errors during example runs and a tutorial bug are not the same underlying problem." + }, + { + "left": "issue:8482", + "right": "issue:8577", + "accept": false, + "reason": "SD3 model support request versus differential diffusion support on SD3; related area, but not the same change." + }, + { + "left": "issue:9637", + "right": "issue:9876", + "accept": false, + "reason": "XFormers attention-mask dtype/shape bug and VRAM release after LoRA training are unrelated." + }, + { + "left": "issue:9227", + "right": "issue:9358", + "accept": false, + "reason": "Both touch train_dreambooth_lora_flux.py, but one is a runtime failure with FLUX.1-dev and the other is redundant text-encoder reinitialization; different code-path problems." + }, + { + "left": "issue:6363", + "right": "issue:6812", + "accept": false, + "reason": "FP16 gradient unscale error and Q/K/V dtype mismatch are distinct training failures." + }, + { + "left": "issue:1363", + "right": "issue:746", + "accept": false, + "reason": "ONNX long-prompt/LMS scheduler error and an ONNX model-load revision issue are different problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 233, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10569", + "issue:10800", + "issue:10896", + "issue:1099", + "issue:11033", + "issue:11486", + "issue:11824", + "issue:12501", + "issue:1260", + "issue:1290", + "issue:13001", + "issue:13298", + "issue:1546", + "issue:1604", + "issue:1857", + "issue:259", + "issue:3086", + "issue:3089", + "issue:3279", + "issue:3427", + "issue:3551", + "issue:3612", + "issue:4804", + "issue:4830", + "issue:5402", + "issue:541", + "issue:5570", + "issue:5605", + "issue:5712", + "issue:6055", + "issue:6073", + "issue:6141", + "issue:6446", + "issue:6520", + "issue:6530", + "issue:7441", + "issue:7460", + "issue:7675", + "issue:7751", + "issue:8551", + "issue:8828", + "issue:8939", + "issue:9309", + "issue:9320", + "issue:9397", + "issue:9630", + "issue:9825" + ], + "soft_pairs": [ + "issue:1546|issue:6055", + "issue:5605|issue:7675", + "issue:11033|issue:13001", + "issue:6520|issue:9630", + "issue:12501|issue:13298", + "issue:4804|issue:4830", + "issue:3279|issue:7751", + "issue:5402|issue:6073", + "issue:10896|issue:9825", + "issue:11824|issue:9309", + "issue:1290|issue:3086", + "issue:3089|issue:7460", + "issue:3427|issue:6530", + "issue:3612|issue:541", + "issue:5570|issue:6520", + "issue:5712|issue:7441", + "issue:6141|issue:9397", + "issue:1604|issue:3551", + "issue:6446|issue:9320", + "issue:8551|issue:8939", + "issue:1857|issue:259", + "issue:1099|issue:1260", + "issue:11486|issue:8828", + "issue:10569|issue:10800" + ], + "prepared_review_unit_hash": "0967073cefe9072266a4408b94b0dbcc1b503988f633e7e55199be2623a3c5db", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33392, + "estimated_input_tokens": 8348, + "estimated_eval_tokens": 16952 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft pairs are all superficial title-level matches; the items span unrelated bugs, feature requests, and model-specific issues, so none should be merged as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue is a clean canonical for this cluster; the issues are heterogeneous and mostly only share broad keywords.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10569 is the broadest user-facing bug here, but it is still not representative enough to serve as a strong cluster canonical.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1546", + "right": "issue:6055", + "accept": false, + "reason": "Different problems: StableDiffusionPipeline truncation/batched-input handling vs an accelerate-related error." + }, + { + "left": "issue:5605", + "right": "issue:7675", + "accept": false, + "reason": "Unrelated feature requests: SDXL dreambooth caption support vs MLX quantized linear support on Apple." + }, + { + "left": "issue:11033", + "right": "issue:13001", + "accept": false, + "reason": "Different models and failure modes: SD1.5 from_single_file loading vs Flux2.Klein GGUF shape mismatch." + }, + { + "left": "issue:6520", + "right": "issue:9630", + "accept": false, + "reason": "Different code paths: blank validation output in adapter training vs flux-controlnet single-GPU configuration error." + }, + { + "left": "issue:12501", + "right": "issue:13298", + "accept": false, + "reason": "Different runtime bugs: VAE decoder graph break vs generator device/cuda behavior when generating images." + }, + { + "left": "issue:4804", + "right": "issue:4830", + "accept": false, + "reason": "Different subsystems: LoRA loader dict mutation error vs MultiControlNet tensor \u0906\u0915\u093e\u0930 mismatch." + }, + { + "left": "issue:3279", + "right": "issue:7751", + "accept": false, + "reason": "Different workflows: checkpoint resume failure in DreamBooth LoRA training vs AnimateDiff conversion errors." + }, + { + "left": "issue:5402", + "right": "issue:6073", + "accept": false, + "reason": "Package import error for compute_snr is not the same as a beginner DreamBooth SDXL training issue." + }, + { + "left": "issue:10896", + "right": "issue:9825", + "accept": false, + "reason": "Different feature requests for different pipelines/models: SkyReels-A1 support vs FLUX IPAdapter support." + }, + { + "left": "issue:11824", + "right": "issue:9309", + "accept": false, + "reason": "Different Flux pipeline bugs: multi-image FluxKontext input vs FluxControlNetPipeline on schnell." + }, + { + "left": "issue:1290", + "right": "issue:3086", + "accept": false, + "reason": "Unrelated ideas: DreamArtist community project vs an audio-input/image-output request." + }, + { + "left": "issue:3089", + "right": "issue:7460", + "accept": false, + "reason": "Different modules: DDPM scheduler bug vs AdaLayerNorm bug." + }, + { + "left": "issue:3427", + "right": "issue:6530", + "accept": false, + "reason": "Different tasks entirely: a Make-A-Video JAX item vs SDXL K-diffusion ControlNet support." + }, + { + "left": "issue:3612", + "right": "issue:541", + "accept": false, + "reason": "Feature request for ControlNet/reference_adain+attn is unrelated to the SageMaker deployment issue." + }, + { + "left": "issue:5570", + "right": "issue:6520", + "accept": false, + "reason": "Missing compute_snr packaging issue is not the same as blank validation results during adapter training." + }, + { + "left": "issue:5712", + "right": "issue:7441", + "accept": false, + "reason": "Both mention Python 3.12, but one is pip install on Windows and the other is pytest test execution; different failures." + }, + { + "left": "issue:6141", + "right": "issue:9397", + "accept": false, + "reason": "Different feature requests: ControlNet control_mode/resize_mode vs SGMUniform scheduler support for Hyper loras." + }, + { + "left": "issue:1604", + "right": "issue:3551", + "accept": false, + "reason": "Different bugs: lpw_stable_diffusion.py breakage on diffusers 0.9.0 vs LoRA disabling xFormers." + }, + { + "left": "issue:6446", + "right": "issue:9320", + "accept": false, + "reason": "Different load/save issues: minimal-loading SD 2-1 on Colab vs finetuned model persistence in custom diffusion." + }, + { + "left": "issue:8551", + "right": "issue:8939", + "accept": false, + "reason": "Different model/pipeline failures: SDXL inpaint device_map transfer bug vs tokenizer loading error for SD3 medium." + }, + { + "left": "issue:1857", + "right": "issue:259", + "accept": false, + "reason": "Poor test coverage vs progress bar behavior are unrelated maintenance issues." + }, + { + "left": "issue:1099", + "right": "issue:1260", + "accept": false, + "reason": "Dreambooth class-name issue is unrelated to the missing DPMSolverMultistepScheduler import." + }, + { + "left": "issue:11486", + "right": "issue:8828", + "accept": false, + "reason": "Training-script xformers support request is not the same as an SD3 16GB training error." + }, + { + "left": "issue:10569", + "right": "issue:10800", + "accept": false, + "reason": "Both involve HunyuanVideo on CPU, but one is general memory consumption and the other is a specific BnB int4/offload quantization type error." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 234, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10016", + "issue:10045", + "issue:10952", + "issue:11199", + "issue:1161", + "issue:11700", + "issue:1181", + "issue:1207", + "issue:12624", + "issue:2132", + "issue:2646", + "issue:3010", + "issue:3338", + "issue:3401", + "issue:3412", + "issue:4229", + "issue:4376", + "issue:4438", + "issue:444", + "issue:4445", + "issue:4534", + "issue:4605", + "issue:4615", + "issue:4907", + "issue:4933", + "issue:5118", + "issue:5371", + "issue:5743", + "issue:5799", + "issue:6093", + "issue:6442", + "issue:6445", + "issue:6530", + "issue:7389", + "issue:761", + "issue:7722", + "issue:7770", + "issue:782", + "issue:7856", + "issue:8234", + "issue:8801", + "issue:9027", + "issue:9403", + "issue:9495", + "issue:9602", + "issue:9660", + "issue:9825" + ], + "soft_pairs": [ + "issue:2646|issue:444", + "issue:4376|issue:4438", + "issue:3401|issue:5743", + "issue:9602|issue:9660", + "issue:10045|issue:11199", + "issue:1207|issue:2132", + "issue:3010|issue:3412", + "issue:5118|issue:6530", + "issue:5371|issue:9403", + "issue:6093|issue:9027", + "issue:7722|issue:8234", + "issue:8801|issue:9825", + "issue:8234|issue:9495", + "issue:4907|issue:5799", + "issue:4229|issue:4534", + "issue:2646|issue:761", + "issue:11700|issue:12624", + "issue:4933|issue:782", + "issue:6442|issue:6445", + "issue:10952|issue:7856", + "issue:4605|issue:7389", + "issue:1161|issue:4445", + "issue:1181|issue:4445", + "issue:3338|issue:4615", + "issue:10016|issue:7770" + ], + "prepared_review_unit_hash": "5950db1f73c228cd41d4af36927393dc41c9b0064a444e55f1950cf86c33ec1f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33443, + "estimated_input_tokens": 8361, + "estimated_eval_tokens": 16978 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All soft pairs are false positives. The items span unrelated bugs, feature requests, docs issues, and pipeline-specific errors, so there is no credible duplicate cluster or shared canonical item.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue fits: the set is heterogeneous and the soft pairs only share broad keywords, not the same underlying bug or change.", + "canonical_pr_reason": null, + "best_issue_reason": "No best issue candidate: none of these artifacts can represent the cluster as a whole because they concern different code paths and requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2646", + "right": "issue:444", + "accept": false, + "reason": "Both mention IndexError, but one is tiled VAE and the other is num_inference_steps; different failure paths." + }, + { + "left": "issue:4376", + "right": "issue:4438", + "accept": false, + "reason": "Both are SDXL errors, but one is load_textual_inversion crash and the other is a separate pipeline error with no shared concrete bug." + }, + { + "left": "issue:3401", + "right": "issue:5743", + "accept": false, + "reason": "One is a validation check for num_class_embeds, the other is latent consistency training stuck at 0%; unrelated." + }, + { + "left": "issue:9602", + "right": "issue:9660", + "accept": false, + "reason": "Adapter-name lookup failure vs from_pretrained eval-mode behavior; different subsystems and fixes." + }, + { + "left": "issue:10045", + "right": "issue:11199", + "accept": false, + "reason": "Both are import problems, but one is importing pipelines generally and the other is a specific onnx_utils import failure." + }, + { + "left": "issue:1207", + "right": "issue:2132", + "accept": false, + "reason": "CUDA symbol/installation issue is unrelated to Accelerator.trackers attribute error in a training script." + }, + { + "left": "issue:3010", + "right": "issue:3412", + "accept": false, + "reason": "Both are docs-related, but they target different documentation pages and topics." + }, + { + "left": "issue:5118", + "right": "issue:6530", + "accept": false, + "reason": "ControlNet reference_only usage question is not the same as SDXL K-diffusion with ControlNet support." + }, + { + "left": "issue:5371", + "right": "issue:9403", + "accept": false, + "reason": "BLIP inpainting support and Xlabs IPAdapter support are distinct feature requests." + }, + { + "left": "issue:6093", + "right": "issue:9027", + "accept": false, + "reason": "push_to_hub behavior in a training script is unrelated to argument-name consistency." + }, + { + "left": "issue:7722", + "right": "issue:8234", + "accept": false, + "reason": "Animatediff+IPAdapter error vs ip_adapter_scale dict TypeError; different concrete bugs." + }, + { + "left": "issue:8801", + "right": "issue:9825", + "accept": false, + "reason": "Support for Kolors and support for IPAdapters in FLUX are separate model-family requests." + }, + { + "left": "issue:8234", + "right": "issue:9495", + "accept": false, + "reason": "Dict scaling TypeError is not the same as SDXL PAG with IPAdapter not working." + }, + { + "left": "issue:4907", + "right": "issue:5799", + "accept": false, + "reason": "New inpainting warning and adding strength kwarg are different inpainting-related issues." + }, + { + "left": "issue:4229", + "right": "issue:4534", + "accept": false, + "reason": "Multi-GPU Accelerate training error and MPS validation crash are different environments and failure modes." + }, + { + "left": "issue:2646", + "right": "issue:761", + "accept": false, + "reason": "Tiled VAE IndexError is unrelated to DreamBooth 8bit Adam optimizer failure." + }, + { + "left": "issue:11700", + "right": "issue:12624", + "accept": false, + "reason": "Pruna integration for loading models and adding strength to wanimagetovideopipeline are unrelated feature requests." + }, + { + "left": "issue:4933", + "right": "issue:782", + "accept": false, + "reason": "Dreambooth output artifact issue is unrelated to model download/auth-token behavior." + }, + { + "left": "issue:6442", + "right": "issue:6445", + "accept": false, + "reason": "FP16 unscale error during training is unrelated to caption_column value validation." + }, + { + "left": "issue:10952", + "right": "issue:7856", + "accept": false, + "reason": "Adapter-name missing error and tokenizer token-collision error concern different mechanisms." + }, + { + "left": "issue:4605", + "right": "issue:7389", + "accept": false, + "reason": "Long-prompt-weighting inpaint error is not the same bug as SDXL from_single_file loading failure." + }, + { + "left": "issue:1161", + "right": "issue:4445", + "accept": false, + "reason": "Converting Flax to PyTorch and finetuning LoRA are different user goals and code paths." + }, + { + "left": "issue:1181", + "right": "issue:4445", + "accept": false, + "reason": "Training from scratch is distinct from LoRA finetuning guidance." + }, + { + "left": "issue:3338", + "right": "issue:4615", + "accept": false, + "reason": "Slow import performance is not the same as an ImportError for a specific pipeline symbol." + }, + { + "left": "issue:10016", + "right": "issue:7770", + "accept": false, + "reason": "SD3.5M from_single_file shape mismatch and model+LoRA tensor mismatch are different loading issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 235, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10336", + "issue:10518", + "issue:10952", + "issue:11127", + "issue:11286", + "issue:11342", + "issue:11437", + "issue:11584", + "issue:11790", + "issue:12096", + "issue:13104", + "issue:13249", + "issue:1367", + "issue:1388", + "issue:1522", + "issue:1817", + "issue:1934", + "issue:1961", + "issue:1964", + "issue:2268", + "issue:2294", + "issue:2312", + "issue:2507", + "issue:2774", + "issue:2995", + "issue:3085", + "issue:3209", + "issue:3249", + "issue:3391", + "issue:4071", + "issue:4675", + "issue:4789", + "issue:4912", + "issue:4964", + "issue:5325", + "issue:557", + "issue:6705", + "issue:6823", + "issue:7450", + "issue:7572", + "issue:7706", + "issue:7799", + "issue:8534", + "issue:9003", + "issue:9393", + "issue:9546", + "issue:993" + ], + "soft_pairs": [ + "issue:2507|issue:557", + "issue:2995|issue:7572", + "issue:1388|issue:4675", + "issue:4912|issue:9003", + "issue:11584|issue:12096", + "issue:1934|issue:557", + "issue:11286|issue:11790", + "issue:11127|issue:13249", + "issue:1964|issue:4071", + "issue:3391|issue:4789", + "issue:6705|issue:9393", + "issue:7706|issue:7799", + "issue:2774|issue:4964", + "issue:5325|issue:993", + "issue:1367|issue:2312", + "issue:2294|issue:6823", + "issue:3209|issue:7450", + "issue:11437|issue:9546", + "issue:10336|issue:11342", + "issue:10518|issue:8534", + "issue:10952|issue:13104", + "issue:1522|issue:3249", + "issue:1817|issue:3085", + "issue:1961|issue:2268" + ], + "prepared_review_unit_hash": "3da538ce93062ee4102ee833d550291c56dc72e69325b2083e2fb814ee3b4eed", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32948, + "estimated_input_tokens": 8237, + "estimated_eval_tokens": 16730 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly noisy: many issues mention LoRA, training, offloading, or generic runtime errors, but they describe different code paths and failure modes. I found no strong duplicate pairs among the soft edges.", + "confidence": 0.95, + "canonical_issue_reason": "Issue 11286 is the broadest LoRA-loading failure and the closest thing to an umbrella among these items, but the surrounding issues are still too heterogeneous for a true canonical duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "11286 is the most suitable representative if one must choose an issue target, because its title is generic enough to cover nearby LoRA-loading complaints; however, it is not a good global duplicate hub for the whole cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2507", + "right": "issue:557", + "accept": false, + "reason": "One is about safetensors load speed, the other about DDIM output quality; same library area but not the same bug." + }, + { + "left": "issue:2995", + "right": "issue:7572", + "accept": false, + "reason": "Both are runtime shape/dtype errors, but they affect different layers and code paths with different root causes." + }, + { + "left": "issue:1388", + "right": "issue:4675", + "accept": false, + "reason": "Conversion-script adaptation for SD 2.0 is unrelated to ControlNet Reference Only for SDXL." + }, + { + "left": "issue:4912", + "right": "issue:9003", + "accept": false, + "reason": "Model conversion from CivitAI to diffusers is unrelated to choosing safety_checker strength." + }, + { + "left": "issue:11584", + "right": "issue:12096", + "accept": false, + "reason": "Both mention offloading, but one is a torch.compile incompatibility on hunyuanvideo_frampack and the other is apply_group_offloading on WanVACEPipeline; not the same concrete bug." + }, + { + "left": "issue:1934", + "right": "issue:557", + "accept": false, + "reason": "CPU offload memory usage and DDIM quality are entirely different problems." + }, + { + "left": "issue:11286", + "right": "issue:11790", + "accept": false, + "reason": "Both concern LoRA loading, but one is a generic load error and the other is a specific trained-LoRA weight loading issue; too little evidence they are the same bug." + }, + { + "left": "issue:11127", + "right": "issue:13249", + "accept": false, + "reason": "A CivitAI flux single-file compatibility issue is not the same as LoRA support breaking for Z-Image." + }, + { + "left": "issue:1964", + "right": "issue:4071", + "accept": false, + "reason": "PyTorch 2.0 support planning is unrelated to inpaint-only+lama support." + }, + { + "left": "issue:3391", + "right": "issue:4789", + "accept": false, + "reason": "DeepFloyd overexposure and download failure are different failure modes." + }, + { + "left": "issue:6705", + "right": "issue:9393", + "accept": false, + "reason": "Both involve saving training artifacts, but they are different frameworks/models and different save failures." + }, + { + "left": "issue:7706", + "right": "issue:7799", + "accept": false, + "reason": "Custom pipeline OOM and IP-Adapter matmul mismatch are unrelated runtime issues." + }, + { + "left": "issue:2774", + "right": "issue:4964", + "accept": false, + "reason": "Both are conversion-related, but one is ControlNet safetensors conversion and the other is SDXL model conversion; not the same bug." + }, + { + "left": "issue:5325", + "right": "issue:993", + "accept": false, + "reason": "Packaging type metadata distribution is unrelated to fp16 data-type mismatch." + }, + { + "left": "issue:1367", + "right": "issue:2312", + "accept": false, + "reason": "Scheduler config saving with trained_betas is unrelated to EMA hook save errors." + }, + { + "left": "issue:2294", + "right": "issue:6823", + "accept": false, + "reason": "Importing a missing pipeline class is unrelated to a controlnet usage problem." + }, + { + "left": "issue:3209", + "right": "issue:7450", + "accept": false, + "reason": "AutoencoderKL NaNs for large images and multi-thread issues are different defects." + }, + { + "left": "issue:11437", + "right": "issue:9546", + "accept": false, + "reason": "Missing training outputs/validation images and validation-step OOM are not the same underlying issue." + }, + { + "left": "issue:10336", + "right": "issue:11342", + "accept": false, + "reason": "Both are Sana-related, but one is activation clamping/explosion and the other is an MPS pipeline failure." + }, + { + "left": "issue:10518", + "right": "issue:8534", + "accept": false, + "reason": "These are different SD3 training-script problems; one is a vague script issue, the other is wrong logit-normal weighting." + }, + { + "left": "issue:10952", + "right": "issue:13104", + "accept": false, + "reason": "LoRA adapter-name mismatch and an undefined logger are unrelated errors." + }, + { + "left": "issue:1522", + "right": "issue:3249", + "accept": false, + "reason": "Unexpected keyword arguments in different modules are not the same bug." + }, + { + "left": "issue:1817", + "right": "issue:3085", + "accept": false, + "reason": "Unexpected keyword in get_scheduler and removed cache-folder argument are unrelated API issues." + }, + { + "left": "issue:1961", + "right": "issue:2268", + "accept": false, + "reason": "Both mention colossalai, but the reports are too generic and do not establish the same concrete failure." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 236, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10045", + "issue:1037", + "issue:10514", + "issue:10675", + "issue:10772", + "issue:10833", + "issue:10994", + "issue:1101", + "issue:11342", + "issue:13034", + "issue:2098", + "issue:2299", + "issue:2390", + "issue:2645", + "issue:2747", + "issue:3391", + "issue:3487", + "issue:3631", + "issue:3901", + "issue:4134", + "issue:4148", + "issue:4305", + "issue:4390", + "issue:4445", + "issue:4554", + "issue:4665", + "issue:5335", + "issue:5429", + "issue:5592", + "issue:5687", + "issue:5689", + "issue:5703", + "issue:6141", + "issue:6243", + "issue:6331", + "issue:6517", + "issue:6818", + "issue:725", + "issue:7312", + "issue:7375", + "issue:7836", + "issue:785", + "issue:8523", + "issue:8834", + "issue:8898", + "issue:9397", + "issue:9799", + "issue:9822" + ], + "soft_pairs": [ + "issue:2299|issue:5592", + "issue:2645|issue:4134", + "issue:2747|issue:7375", + "issue:4445|issue:725", + "issue:5429|issue:9397", + "issue:6141|issue:7312", + "issue:10514|issue:11342", + "issue:3901|issue:4390", + "issue:6818|issue:8523", + "issue:2098|issue:3631", + "issue:3391|issue:3487", + "issue:10045|issue:6517", + "issue:10994|issue:9799", + "issue:1037|issue:1101", + "issue:10675|issue:9822", + "issue:4554|issue:7836", + "issue:4665|issue:8898", + "issue:5335|issue:785", + "issue:5689|issue:5703", + "issue:10833|issue:13034", + "issue:4305|issue:5687", + "issue:10772|issue:8834", + "issue:2390|issue:6243", + "issue:4148|issue:6331" + ], + "prepared_review_unit_hash": "89165d6d3256d4754bf1ae30bfef1af5cec32e0de73fa8bf3f1919121cfb96c7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33667, + "estimated_input_tokens": 8417, + "estimated_eval_tokens": 17090 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: most items are unrelated feature requests or bug reports across different pipelines, schedulers, and training paths. No soft pair looks like a true duplicate; the only broadly overlapping ones are still too context-specific to merge.", + "confidence": 0.83, + "canonical_issue_reason": "issue:10045 is the broadest umbrella title in the set ('Problem with importing pipelines'), so it is the closest thing to a cluster anchor, though the cluster itself is not a clean duplicate group.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10045 is the most general and reusable issue title here; however, it is only a weak representative because the surrounding items span many different bugs/features.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2299", + "right": "issue:5592", + "accept": false, + "reason": "Both concern checkpoint loading, but they are for different models and failure modes; not the same bug." + }, + { + "left": "issue:2645", + "right": "issue:4134", + "accept": false, + "reason": "Both involve ControlNet on Apple/MPS, but one is a CUDA assertion and the other is a tensor-shape mismatch." + }, + { + "left": "issue:2747", + "right": "issue:7375", + "accept": false, + "reason": "Both are docs issues, but they target different documentation changes and are unrelated." + }, + { + "left": "issue:4445", + "right": "issue:725", + "accept": false, + "reason": "Finetuning help and memory-loading infrastructure are unrelated." + }, + { + "left": "issue:5429", + "right": "issue:9397", + "accept": false, + "reason": "These are different feature requests for different model/support paths; not the same change." + }, + { + "left": "issue:6141", + "right": "issue:7312", + "accept": false, + "reason": "ControlNet parameter support and direct reward finetuning are unrelated features." + }, + { + "left": "issue:10514", + "right": "issue:11342", + "accept": false, + "reason": "Both are Sana-related, but one is a resolution-binning/sample-size bug and the other is an MPS failure." + }, + { + "left": "issue:3901", + "right": "issue:4390", + "accept": false, + "reason": "Both mention missing requirements, but the contexts differ and there is no clear shared underlying bug." + }, + { + "left": "issue:6818", + "right": "issue:8523", + "accept": false, + "reason": "IP-Adapter unload/model reconstruction error and a playground CUDA error are unrelated." + }, + { + "left": "issue:2098", + "right": "issue:3631", + "accept": false, + "reason": "Both are runtime exceptions, but they describe different argument/latent-handling bugs." + }, + { + "left": "issue:3391", + "right": "issue:3487", + "accept": false, + "reason": "Different pipelines and different image-quality problems; not the same issue." + }, + { + "left": "issue:10045", + "right": "issue:6517", + "accept": false, + "reason": "Both are import failures, but the second is a specific ControlNet SDXL import traceback and the first is a broad pipeline-import complaint." + }, + { + "left": "issue:10994", + "right": "issue:9799", + "accept": false, + "reason": "Both mention tensor-size/runtime errors, but there is no evidence they are the same concrete code-path bug." + }, + { + "left": "issue:1037", + "right": "issue:1101", + "accept": false, + "reason": "Two unrelated feature requests in the pipeline/scheduler area." + }, + { + "left": "issue:10675", + "right": "issue:9822", + "accept": false, + "reason": "Flux scheduler config max_shift and loading SDXL LoRAs into Flux are different problems." + }, + { + "left": "issue:4554", + "right": "issue:7836", + "accept": false, + "reason": "OOM in a Kandinsky example and CLIP training overfitting are unrelated." + }, + { + "left": "issue:4665", + "right": "issue:8898", + "accept": false, + "reason": "Both involve model loading, but one is Windows bin-file selection and the other is subfolder from_pretrained path validation." + }, + { + "left": "issue:5335", + "right": "issue:785", + "accept": false, + "reason": "Deployment/network access and scheduler performance are unrelated." + }, + { + "left": "issue:5689", + "right": "issue:5703", + "accept": false, + "reason": "Both involve scheduler/noise behavior, but they are different algorithms and different bugs." + }, + { + "left": "issue:10833", + "right": "issue:13034", + "accept": false, + "reason": "Different models and different failure modes; not mergeable as one bug." + }, + { + "left": "issue:4305", + "right": "issue:5687", + "accept": false, + "reason": "torch.compile graph breaks and duplicate timesteps in img2img are different issues." + }, + { + "left": "issue:10772", + "right": "issue:8834", + "accept": false, + "reason": "A support request and a question about release plans are not the same change or bug." + }, + { + "left": "issue:2390", + "right": "issue:6243", + "accept": false, + "reason": "T2I-Adapter and IP-Adapter Face ID are distinct features." + }, + { + "left": "issue:4148", + "right": "issue:6331", + "accept": false, + "reason": "SDXL inpainting config error and SAG for inpainting are different topics." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 237, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10287", + "issue:10428", + "issue:10511", + "issue:10958", + "issue:1188", + "issue:12239", + "issue:12501", + "issue:1566", + "issue:1785", + "issue:1790", + "issue:2026", + "issue:2098", + "issue:2203", + "issue:2462", + "issue:2465", + "issue:3176", + "issue:3181", + "issue:322", + "issue:3221", + "issue:3366", + "issue:3694", + "issue:4071", + "issue:4306", + "issue:4675", + "issue:4724", + "issue:5070", + "issue:5118", + "issue:5124", + "issue:5168", + "issue:5595", + "issue:5605", + "issue:5607", + "issue:5670", + "issue:6661", + "issue:7012", + "issue:7480", + "issue:817", + "issue:8801", + "issue:8885", + "issue:8989", + "issue:9112", + "issue:9216", + "issue:9237", + "issue:9299", + "issue:9763", + "issue:9856", + "issue:9930" + ], + "soft_pairs": [ + "issue:5070|issue:5605", + "issue:5168|issue:8801", + "issue:1566|issue:5124", + "issue:10958|issue:9112", + "issue:1790|issue:2465", + "issue:5595|issue:5670", + "issue:8885|issue:9763", + "issue:2026|issue:4724", + "issue:4071|issue:4675", + "issue:5118|issue:9216", + "issue:6661|issue:7480", + "issue:12501|issue:9856", + "issue:3221|issue:3366", + "issue:8989|issue:9930", + "issue:10511|issue:12239", + "issue:1188|issue:322", + "issue:2462|issue:4071", + "issue:3176|issue:3181", + "issue:10287|issue:9237", + "issue:1785|issue:5607", + "issue:2098|issue:4306", + "issue:2203|issue:817", + "issue:3694|issue:7012", + "issue:10428|issue:9299" + ], + "prepared_review_unit_hash": "410672ad69a30c25d78df69c3b86217bd065bd4713be1cd383ada7148684816c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33250, + "estimated_input_tokens": 8313, + "estimated_eval_tokens": 16882 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a single duplicate cluster; it\u2019s a loose collection of unrelated bugs, feature requests, and support questions across many different pipelines and subsystems. None of the soft-edge pairs look like the same underlying issue.", + "confidence": 0.98, + "canonical_issue_reason": "No true canonical issue: the items are heterogeneous and do not share one underlying bug or change.", + "canonical_pr_reason": null, + "best_issue_reason": "If one issue must be used as an anchor, #10511 is the broadest and most forward-looking open item, but it is not a duplicate hub for the rest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5070", + "right": "issue:5605", + "accept": false, + "reason": "Both mention control/dreambooth-style training topics, but one is a ControlNet example setting change and the other is SDXL per-image caption support; different code paths and goals." + }, + { + "left": "issue:5168", + "right": "issue:8801", + "accept": false, + "reason": "Both are support requests for new model families, but ControlNet-XS and Kolors are distinct integrations with no shared bug/change." + }, + { + "left": "issue:1566", + "right": "issue:5124", + "accept": false, + "reason": "Dreambooth checkpoint save crash with fp16 output is unrelated to a question about fine-tuning a .safetensors checkpoint." + }, + { + "left": "issue:10958", + "right": "issue:9112", + "accept": false, + "reason": "Different pipelines and failures: CogView4 meta-tensor copy error versus Auraflow tensor-size mismatch." + }, + { + "left": "issue:1790", + "right": "issue:2465", + "accept": false, + "reason": "A general training question is not the same as asking for a reproducible DreamBooth recipe." + }, + { + "left": "issue:5595", + "right": "issue:5670", + "accept": false, + "reason": "Both are shape-related errors, but they affect different pipelines and different validation paths (size divisibility vs non-square image handling)." + }, + { + "left": "issue:8885", + "right": "issue:9763", + "accept": false, + "reason": "Custom Diffusion installation/token-loading trouble is unrelated to Flux ControlNet prompt truncation during training." + }, + { + "left": "issue:2026", + "right": "issue:4724", + "accept": false, + "reason": "PaintByExample cpu_offload behavior is a different bug from SDXL img2img not matching expected output." + }, + { + "left": "issue:4071", + "right": "issue:4675", + "accept": false, + "reason": "Both involve reference/inpaint-style features, but one is Inpaint-Only/Lama support and the other is ControlNet Reference Only for SDXL; not the same issue." + }, + { + "left": "issue:5118", + "right": "issue:9216", + "accept": false, + "reason": "A question about ControlNet reference_only usage is unrelated to a custom pipeline that combines arbitrary numbers of models." + }, + { + "left": "issue:6661", + "right": "issue:7480", + "accept": false, + "reason": "Both report OOMs, but they are on different hardware/workloads and do not indicate the same underlying memory bug." + }, + { + "left": "issue:12501", + "right": "issue:9856", + "accept": false, + "reason": "VAE graph-break behavior has nothing to do with a distributed port-in-use connection error." + }, + { + "left": "issue:3221", + "right": "issue:3366", + "accept": false, + "reason": "Both touch LoRA/attention features, but one is load_attn_procs compatibility and the other is autocast behavior in LoRALinearLayer; different concrete bugs." + }, + { + "left": "issue:8989", + "right": "issue:9930", + "accept": false, + "reason": "Sequential offloading in Stable Audio and PAG adaptive scale are unrelated subsystems." + }, + { + "left": "issue:10511", + "right": "issue:12239", + "accept": false, + "reason": "Scheduler redesign for SD3/Flux is not the same change as adding support for InfiniteTalk." + }, + { + "left": "issue:1188", + "right": "issue:322", + "accept": false, + "reason": "A new CLIPSeg+Stable Diffusion pipeline request is unrelated to the V-Diffusion community proposal." + }, + { + "left": "issue:2462", + "right": "issue:4071", + "accept": false, + "reason": "IterableDataset training support and Inpaint-Only/Lama support are different features with no shared bug/change." + }, + { + "left": "issue:3176", + "right": "issue:3181", + "accept": false, + "reason": "Both mention TensorRT example errors, but they are different examples with different failure modes; not enough evidence of one underlying bug." + }, + { + "left": "issue:10287", + "right": "issue:9237", + "accept": false, + "reason": "A documentation example issue is unrelated to Flux DreamBooth LoRA training problems." + }, + { + "left": "issue:1785", + "right": "issue:5607", + "accept": false, + "reason": "UnCLIP num_images_per_prompt behavior and a tensor-size mismatch error are not the same concrete problem." + }, + { + "left": "issue:2098", + "right": "issue:4306", + "accept": false, + "reason": "Torch.randn argument validation and StableDiffusionReferencePipeline index errors are unrelated." + }, + { + "left": "issue:2203", + "right": "issue:817", + "accept": false, + "reason": "Checkpoint download location is unrelated to mixed-precision failure in the DreamBooth example." + }, + { + "left": "issue:3694", + "right": "issue:7012", + "accept": false, + "reason": "Missing model/config files in a training example and odd v_prediction outputs are different bugs." + }, + { + "left": "issue:10428", + "right": "issue:9299", + "accept": false, + "reason": "An Ascend NPU Flux inference error is not the same as enabling CUDA graphs for Flux position embeddings." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 238, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10448", + "issue:11050", + "issue:11275", + "issue:1141", + "issue:11648", + "issue:11938", + "issue:1343", + "issue:1477", + "issue:1519", + "issue:1537", + "issue:201", + "issue:2161", + "issue:2326", + "issue:2377", + "issue:2440", + "issue:2518", + "issue:2552", + "issue:2737", + "issue:2772", + "issue:2784", + "issue:3043", + "issue:3073", + "issue:3377", + "issue:3422", + "issue:3986", + "issue:4213", + "issue:4304", + "issue:4488", + "issue:4593", + "issue:4764", + "issue:4846", + "issue:4912", + "issue:5515", + "issue:5553", + "issue:5731", + "issue:6321", + "issue:6463", + "issue:6561", + "issue:6742", + "issue:6928", + "issue:7519", + "issue:7661", + "issue:7841", + "issue:8463", + "issue:8759", + "issue:9047", + "issue:9241", + "issue:9899" + ], + "soft_pairs": [ + "issue:10448|issue:11648", + "issue:1141|issue:4912", + "issue:1343|issue:2518", + "issue:201|issue:2377", + "issue:2161|issue:2552", + "issue:5731|issue:6463", + "issue:6561|issue:7661", + "issue:7519|issue:7841", + "issue:9241|issue:9899", + "issue:5515|issue:5553", + "issue:1519|issue:1537", + "issue:1477|issue:2440", + "issue:11938|issue:9047", + "issue:11050|issue:8759", + "issue:2784|issue:4846", + "issue:4488|issue:6742", + "issue:2737|issue:3986", + "issue:2772|issue:4593", + "issue:3043|issue:3073", + "issue:4213|issue:6321", + "issue:11275|issue:8463", + "issue:2326|issue:4764", + "issue:3377|issue:4304", + "issue:3422|issue:6928" + ], + "prepared_review_unit_hash": "2a831afff7948cf376d03b91a81d2a3ea36814f9c091c5a5ffec7dfa83c14427", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33607, + "estimated_input_tokens": 8402, + "estimated_eval_tokens": 17060 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All proposed soft pairs are false positives: the items span unrelated bugs, feature requests, tutorials, and tests, so none look like the same underlying change or defect.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue stands out because this set is not a true duplicate cluster; the items are thematically mixed and mostly unrelated.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative for the group, since the pairings do not share a common code path or concrete bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10448", + "right": "issue:11648", + "accept": false, + "reason": "DDUF mmap loading vs LoRA weight loading for an fp8 transformer are different problems." + }, + { + "left": "issue:1141", + "right": "issue:4912", + "accept": false, + "reason": "Local-file pipeline support and SDXL checkpoint conversion are related only broadly to loading custom assets, not the same bug." + }, + { + "left": "issue:1343", + "right": "issue:2518", + "accept": false, + "reason": "One is a default xformers enablement request; the other is missing xformers support in a specific training script." + }, + { + "left": "issue:201", + "right": "issue:2377", + "accept": false, + "reason": "Both mention tests, but they target different components and changes." + }, + { + "left": "issue:2161", + "right": "issue:2552", + "accept": false, + "reason": "LoRA training on inpainting models is unrelated to the inpainting tutorial question." + }, + { + "left": "issue:5731", + "right": "issue:6463", + "accept": false, + "reason": "AutoencoderKL logvar behavior and a missing audio_diffusion pipeline are unrelated." + }, + { + "left": "issue:6561", + "right": "issue:7661", + "accept": false, + "reason": "Missing IP-Adapter config and animate diff + IP-Adapter integration are different code paths." + }, + { + "left": "issue:7519", + "right": "issue:7841", + "accept": false, + "reason": "Ignored xformers scale kwargs and SDXL red-dot rendering are unrelated bugs." + }, + { + "left": "issue:9241", + "right": "issue:9899", + "accept": false, + "reason": "Both are conversion-related, but they concern different source/target formats and model parts." + }, + { + "left": "issue:5515", + "right": "issue:5553", + "accept": false, + "reason": "LCM scheduler initialization failure and custom model loading failure are not the same defect." + }, + { + "left": "issue:1519", + "right": "issue:1537", + "accept": false, + "reason": "Both involve Apple MPS, but one is batch-image noise and the other is scheduler behavior." + }, + { + "left": "issue:1477", + "right": "issue:2440", + "accept": false, + "reason": "CUDA GEMM invalid value and fp16 inpainting model load failure are distinct errors." + }, + { + "left": "issue:11938", + "right": "issue:9047", + "accept": false, + "reason": "RMSNorm registration and FLUX failing on MPS are unrelated." + }, + { + "left": "issue:11050", + "right": "issue:8759", + "accept": false, + "reason": "Training dtype casting for SD3 prompt embeddings and an image processor warning are different issues." + }, + { + "left": "issue:2784", + "right": "issue:4846", + "accept": false, + "reason": "Dreambooth support request for text2video and strange Dreambooth results are not the same change." + }, + { + "left": "issue:4488", + "right": "issue:6742", + "accept": false, + "reason": "SDXL ckpt loading from_single_file and motion block checkpointing behavior are unrelated." + }, + { + "left": "issue:2737", + "right": "issue:3986", + "accept": false, + "reason": "CLIP guidance support for a scheduler and mesh output support for ShapEPipeline are different features." + }, + { + "left": "issue:2772", + "right": "issue:4593", + "accept": false, + "reason": "Local dataset handling in train_controlnet and a LoRA rank-loading error do not share the same code path." + }, + { + "left": "issue:3043", + "right": "issue:3073", + "accept": false, + "reason": "ODISE and consistency models are separate feature requests." + }, + { + "left": "issue:4213", + "right": "issue:6321", + "accept": false, + "reason": "SDXL from_single_file needing accelerate and CLIP model detection failure are unrelated." + }, + { + "left": "issue:11275", + "right": "issue:8463", + "accept": false, + "reason": "These are both NoneType errors, but they occur in different modules and failure modes." + }, + { + "left": "issue:2326", + "right": "issue:4764", + "accept": false, + "reason": "LoRA conversion to safetensors/ckpt and loading OFT-generated weights are different operations and bugs." + }, + { + "left": "issue:3377", + "right": "issue:4304", + "accept": false, + "reason": "A question about SNR weighting and a request for SDXL LoRA training are unrelated." + }, + { + "left": "issue:3422", + "right": "issue:6928", + "accept": false, + "reason": "Safety checker disabling and depthmap colorization toggling are separate features." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 239, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10653", + "issue:10757", + "issue:1188", + "issue:11922", + "issue:11989", + "issue:12653", + "issue:13015", + "issue:1895", + "issue:1969", + "issue:1992", + "issue:201", + "issue:2571", + "issue:2645", + "issue:321", + "issue:3222", + "issue:3487", + "issue:3582", + "issue:3771", + "issue:3829", + "issue:3974", + "issue:4171", + "issue:4185", + "issue:4194", + "issue:4436", + "issue:4782", + "issue:4815", + "issue:4826", + "issue:4913", + "issue:5150", + "issue:5168", + "issue:5605", + "issue:5849", + "issue:5968", + "issue:6141", + "issue:6383", + "issue:6412", + "issue:6530", + "issue:7061", + "issue:7080", + "issue:7421", + "issue:7568", + "issue:7877", + "issue:7985", + "issue:8234", + "issue:9062", + "issue:9511", + "issue:9611", + "issue:9889" + ], + "soft_pairs": [ + "issue:3829|issue:7421", + "issue:4171|issue:7061", + "issue:5150|issue:6383", + "issue:5968|issue:6412", + "issue:7568|issue:9889", + "issue:7985|issue:8234", + "issue:2571|issue:5849", + "issue:12653|issue:13015", + "issue:1188|issue:321", + "issue:1992|issue:201", + "issue:3487|issue:3582", + "issue:3974|issue:5168", + "issue:6141|issue:9511", + "issue:11922|issue:9611", + "issue:5605|issue:7877", + "issue:10757|issue:9062", + "issue:4194|issue:4436", + "issue:4913|issue:6530", + "issue:1895|issue:1969", + "issue:3222|issue:4185", + "issue:3771|issue:7080", + "issue:10653|issue:11989", + "issue:2645|issue:4826", + "issue:4782|issue:4815" + ], + "prepared_review_unit_hash": "666dfdcb33f4e1e812da596d80e29c581da1fcbead7dcf60cb7cfc49d6c19ffb", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34008, + "estimated_input_tokens": 8502, + "estimated_eval_tokens": 17260 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items span many unrelated bugs and feature requests across diffusion, ControlNet, ONNX, FLUX, IP-Adapter, and tooling. None of the soft pairs look like the same underlying issue/change, so I would not consolidate them into a single canonical duplicate cluster.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3829", + "right": "issue:7421", + "accept": false, + "reason": "Both mention generation reproducibility, but one is an ONNX/EulerAncestral nondeterminism report and the other is a k-diffusion seed issue in SDXL; different code paths and symptoms." + }, + { + "left": "issue:4171", + "right": "issue:7061", + "accept": false, + "reason": "UI rendering of the home-page reference section is unrelated to a bad docstring in a community pipeline." + }, + { + "left": "issue:5150", + "right": "issue:6383", + "accept": false, + "reason": "One is missing from_single_file support for an upscale pipeline; the other asks about multi-stage learning rates in get_scheduler. Different features entirely." + }, + { + "left": "issue:5968", + "right": "issue:6412", + "accept": false, + "reason": "Both mention ONNX, but one is converting text/image-to-video scripts and the other is exporting ControlNet annotators; not the same bug or change." + }, + { + "left": "issue:7568", + "right": "issue:9889", + "accept": false, + "reason": "Prompt token interpolation vs an sdxl-turbo segfault are unrelated failures." + }, + { + "left": "issue:7985", + "right": "issue:8234", + "accept": false, + "reason": "Both involve IP-Adapter, but torch.compile incompatibility and dict-valued ip_adapter_scale type errors are different concrete bugs." + }, + { + "left": "issue:2571", + "right": "issue:5849", + "accept": false, + "reason": "Accelerate import failure and an accelerate-launch CLI TypeError are separate problems in different layers." + }, + { + "left": "issue:12653", + "right": "issue:13015", + "accept": false, + "reason": "Rope float64/MPS-NPU issue is a dtype/reference bug; QwenImageEditPlus is a device-placement error on NPU. Not the same fix." + }, + { + "left": "issue:1188", + "right": "issue:321", + "accept": false, + "reason": "Both are community/feature ideas, but CLIPSeg+Stable Diffusion and Blended Diffusion are distinct proposals." + }, + { + "left": "issue:1992", + "right": "issue:201", + "accept": false, + "reason": "A JAX attention refactor discussion is not the same as a test request for attention classes." + }, + { + "left": "issue:3487", + "right": "issue:3582", + "accept": false, + "reason": "Both touch inpainting strength, but they target different pipelines and different failure modes; too broad to treat as duplicates." + }, + { + "left": "issue:3974", + "right": "issue:5168", + "accept": false, + "reason": "Safetensors support for a ControlNet inpaint pipeline is unrelated to ControlNet-XS support." + }, + { + "left": "issue:6141", + "right": "issue:9511", + "accept": false, + "reason": "Adding control_mode/resize_mode parameters is a different ControlNet API change than multi-controlnet batching for SDXL inpaint." + }, + { + "left": "issue:11922", + "right": "issue:9611", + "accept": false, + "reason": "A FLUX.1-Fill-dev runtime problem and a FLUX image batching error are not the same underlying bug." + }, + { + "left": "issue:5605", + "right": "issue:7877", + "accept": false, + "reason": "Per-image caption support for SDXL dreambooth is unrelated to adding an out_dim argument to Attention." + }, + { + "left": "issue:10757", + "right": "issue:9062", + "accept": false, + "reason": "A variable rename in a conversion script has nothing to do with an import error for StableAudioPipeline." + }, + { + "left": "issue:4194", + "right": "issue:4436", + "accept": false, + "reason": "from_single_file VAE behavior and CIVITAI safetensors conversion with VAE are related only broadly; they are not the same concrete defect." + }, + { + "left": "issue:4913", + "right": "issue:6530", + "accept": false, + "reason": "A specific ControlNet OpenPose model request and SDXL K-diffusion with ControlNet are different topics." + }, + { + "left": "issue:1895", + "right": "issue:1969", + "accept": false, + "reason": "EMA multi-GPU update logic and a tensor view/stride runtime error are unrelated." + }, + { + "left": "issue:3222", + "right": "issue:4185", + "accept": false, + "reason": "Missing custom diffusion weights after training is unrelated to black ControlNet-SDXL inference images." + }, + { + "left": "issue:3771", + "right": "issue:7080", + "accept": false, + "reason": "Conversion-to-Diffusers inference failures and wandb-vs-inference output mismatch in SDXL controlnet training are different issues." + }, + { + "left": "issue:10653", + "right": "issue:11989", + "accept": false, + "reason": "bitsandbytes 8-bit .to(cpu) limitation for HunyuanVideoTransformer3DModel is unrelated to black inference images." + }, + { + "left": "issue:2645", + "right": "issue:4826", + "accept": false, + "reason": "A mac M1 CUDA assertion failure and ControlNet Reference/MultiControlNet errors are different problems." + }, + { + "left": "issue:4782", + "right": "issue:4815", + "accept": false, + "reason": "Mask corruption during inpainting and a feature request for latents-only inputs are not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 240, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10194", + "issue:10311", + "issue:1062", + "issue:10705", + "issue:10891", + "issue:10893", + "issue:11218", + "issue:1156", + "issue:12141", + "issue:12412", + "issue:13053", + "issue:13191", + "issue:1594", + "issue:1643", + "issue:1730", + "issue:1831", + "issue:1976", + "issue:2311", + "issue:2841", + "issue:2875", + "issue:2883", + "issue:3336", + "issue:3591", + "issue:3826", + "issue:3975", + "issue:4217", + "issue:4376", + "issue:4551", + "issue:460", + "issue:4773", + "issue:5002", + "issue:5166", + "issue:5412", + "issue:5605", + "issue:5719", + "issue:5984", + "issue:684", + "issue:696", + "issue:7191", + "issue:7390", + "issue:7408", + "issue:8228", + "issue:834", + "issue:8752", + "issue:9063", + "issue:911", + "issue:9181", + "issue:9188" + ], + "soft_pairs": [ + "issue:10194|issue:9188", + "issue:10311|issue:11218", + "issue:10893|issue:13053", + "issue:1594|issue:2883", + "issue:1976|issue:911", + "issue:2311|issue:3336", + "issue:3826|issue:7408", + "issue:1062|issue:1730", + "issue:10705|issue:9063", + "issue:12412|issue:13191", + "issue:2875|issue:3591", + "issue:4376|issue:8752", + "issue:4217|issue:4773", + "issue:10891|issue:12141", + "issue:2841|issue:5605", + "issue:3975|issue:5719", + "issue:1643|issue:696", + "issue:460|issue:834", + "issue:5002|issue:5166", + "issue:1831|issue:4551", + "issue:7191|issue:9181", + "issue:5412|issue:5984", + "issue:7390|issue:8228", + "issue:1156|issue:684" + ], + "prepared_review_unit_hash": "21c8c5ffb83e723729f6ff84081ceaaa309b64c95af94735fcb6dfd16cdf03ec", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33404, + "estimated_input_tokens": 8351, + "estimated_eval_tokens": 16958 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is not a true duplicate cluster: it mixes unrelated feature requests and bug reports across Flux, Dreambooth, schedulers, SDXL, and other pipelines. None of the soft pairs look like the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": "Issue 9063 is the most concrete, reproducible bug report in the set and the clearest single issue to anchor on, but it should not be treated as a duplicate representative for the whole cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9063 has the strongest bug-specific signal (explicit FluxPipeline instantiation failure, detailed repro, active discussion) and is more actionable than the broader feature requests or vague import/training complaints.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10194", + "right": "issue:9188", + "accept": false, + "reason": "Flux attention masking and Flux outpainting are different feature requests with different model behavior and code paths." + }, + { + "left": "issue:10311", + "right": "issue:11218", + "accept": false, + "reason": "Both are import errors, but they reference different symbols, files, and failure causes." + }, + { + "left": "issue:10893", + "right": "issue:13053", + "accept": false, + "reason": "Different feature requests for different model families: CogVideoX ControlNet vs Unipic 3.0 pipeline support." + }, + { + "left": "issue:1594", + "right": "issue:2883", + "accept": false, + "reason": "Both relate to video generation, but one asks for img2img video generation and the other for an image-to-video pipeline; not the same change." + }, + { + "left": "issue:1976", + "right": "issue:911", + "accept": false, + "reason": "Tokenizer/config file lookup failure is unrelated to the vague Dreambooth bad-config report." + }, + { + "left": "issue:2311", + "right": "issue:3336", + "accept": false, + "reason": "UniPC scheduler support and DPM-Solver inverse scheduler are different scheduler features." + }, + { + "left": "issue:3826", + "right": "issue:7408", + "accept": false, + "reason": "Completely different pipelines: Audio-Journey vs FRESCO." + }, + { + "left": "issue:1062", + "right": "issue:1730", + "accept": false, + "reason": "Both mention Dreambooth, but one is about reproducibility of paper results and the other is a ckpt conversion/webui compatibility problem." + }, + { + "left": "issue:10705", + "right": "issue:9063", + "accept": false, + "reason": "Pipeline reuse performance regression is unrelated to a tokenizer instantiation/import error." + }, + { + "left": "issue:12412", + "right": "issue:13191", + "accept": false, + "reason": "Different model support requests for HunyuanImage-3.0 and Elastic-DiT." + }, + { + "left": "issue:2875", + "right": "issue:3591", + "accept": false, + "reason": "Training loss becoming NaN and ControlNet loss curve confusion are different training issues." + }, + { + "left": "issue:4376", + "right": "issue:8752", + "accept": false, + "reason": "Both concern SDXL/from_single_file behavior, but one crashes on load_textual_inversion while the other is an offline loading limitation." + }, + { + "left": "issue:4217", + "right": "issue:4773", + "accept": false, + "reason": "Slow safetensors loading and CivitAI LoRA loading are different load-path problems." + }, + { + "left": "issue:10891", + "right": "issue:12141", + "accept": false, + "reason": "Both are dtype/precision related, but they affect different components and failure modes (DCAE conversion vs WanVACE VAE dtype)." + }, + { + "left": "issue:2841", + "right": "issue:5605", + "accept": false, + "reason": "Scheduler sampling temperature and SDXL Dreambooth per-image captions are unrelated features." + }, + { + "left": "issue:3975", + "right": "issue:5719", + "accept": false, + "reason": "A typo in an error message is not the same as changing LoRA file-discovery order." + }, + { + "left": "issue:1643", + "right": "issue:696", + "accept": false, + "reason": "Dreambooth xformers API mismatch and Dreambooth CUDA OOM are distinct failures." + }, + { + "left": "issue:460", + "right": "issue:834", + "accept": false, + "reason": "ONNX runtime dependency selection and CPU underutilization are different performance/environment issues." + }, + { + "left": "issue:5002", + "right": "issue:5166", + "accept": false, + "reason": "Scheduler argument support and VQ-VAE scaling-factor handling are unrelated code paths." + }, + { + "left": "issue:1831", + "right": "issue:4551", + "accept": false, + "reason": "Both are Dreambooth-related, but one is a class-image precision mismatch and the other is an SDXL Dreambooth crash." + }, + { + "left": "issue:7191", + "right": "issue:9181", + "accept": false, + "reason": "A generic import problem and a ControlNet image artifact issue are unrelated." + }, + { + "left": "issue:5412", + "right": "issue:5984", + "accept": false, + "reason": "Checkpoint resume failure and fp16 system-RAM usage are different bugs in the same script." + }, + { + "left": "issue:7390", + "right": "issue:8228", + "accept": false, + "reason": "Both involve from_single_file, but one is a ControlNet inpaint pipeline error and the other is a CLIPTextModel load failure." + }, + { + "left": "issue:1156", + "right": "issue:684", + "accept": false, + "reason": "A vague training failure and AMD-specific memory optimization issues are too broad and not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 241, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10227", + "issue:1033", + "issue:10520", + "issue:10710", + "issue:10928", + "issue:1106", + "issue:1478", + "issue:1572", + "issue:1657", + "issue:1805", + "issue:1909", + "issue:2083", + "issue:2214", + "issue:2277", + "issue:2447", + "issue:2480", + "issue:2769", + "issue:3113", + "issue:322", + "issue:3564", + "issue:3963", + "issue:4042", + "issue:4349", + "issue:4638", + "issue:4704", + "issue:4727", + "issue:4806", + "issue:5079", + "issue:5476", + "issue:5616", + "issue:5953", + "issue:6093", + "issue:6201", + "issue:6372", + "issue:6427", + "issue:6513", + "issue:713", + "issue:7276", + "issue:7454", + "issue:8264", + "issue:8373", + "issue:8495", + "issue:8588", + "issue:8671", + "issue:9078", + "issue:9241", + "issue:964" + ], + "soft_pairs": [ + "issue:10227|issue:10710", + "issue:5616|issue:6427", + "issue:10928|issue:8495", + "issue:1106|issue:2480", + "issue:1657|issue:5476", + "issue:1805|issue:322", + "issue:1909|issue:2083", + "issue:2214|issue:2769", + "issue:2277|issue:6093", + "issue:2447|issue:713", + "issue:3113|issue:4042", + "issue:3564|issue:6372", + "issue:4349|issue:6201", + "issue:4638|issue:9078", + "issue:5079|issue:6513", + "issue:7454|issue:9241", + "issue:8588|issue:8671", + "issue:1478|issue:5953", + "issue:4704|issue:7276", + "issue:3963|issue:4727", + "issue:1033|issue:1572", + "issue:4806|issue:8373", + "issue:10520|issue:8264", + "issue:1572|issue:964" + ], + "prepared_review_unit_hash": "96734a2dd5dca69d80581c81b4b7d153d9c72c93aaaaf491c40dbd3c640dc19a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33214, + "estimated_input_tokens": 8304, + "estimated_eval_tokens": 16864 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are false positives across unrelated features or pipelines. The only clear duplicate is the generator-list/scheduler bug in issues 1909 and 2083. No pull requests are present in the input.", + "confidence": 0.78, + "canonical_issue_reason": "issue:1909 is the most general, clearly scoped description of the duplicate bug: pipelines pass a list of generators while schedulers only accept one generator. issue:2083 is a narrower DDIMScheduler/eta>0 symptom of the same problem.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:1909 is the best canonical issue because it states the underlying incompatibility cleanly and broadly, making it the most reusable duplicate target for the accepted pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10227", + "right": "issue:10710", + "accept": false, + "reason": "LoRA feature/error vs DDUF format support; different subsystems and failure modes." + }, + { + "left": "issue:5616", + "right": "issue:6427", + "accept": false, + "reason": "Both mention loading/conversion problems, but one is an SDXL safetensors runtime error and the other is ckpt conversion; not the same concrete bug." + }, + { + "left": "issue:10928", + "right": "issue:8495", + "accept": false, + "reason": "Missing UNet fp16 weights vs SD3 tokenizer enum error; unrelated code paths." + }, + { + "left": "issue:1106", + "right": "issue:2480", + "accept": false, + "reason": "Repeated UNet calls in PNDM vs missing checkpoint folder output in DreamBooth training; not the same issue." + }, + { + "left": "issue:1657", + "right": "issue:5476", + "accept": false, + "reason": "A notebook/examples request vs a LoRA loading compatibility question; unrelated." + }, + { + "left": "issue:1805", + "right": "issue:322", + "accept": false, + "reason": "A new pipeline feature request vs a model reference issue; no shared bug/change." + }, + { + "left": "issue:1909", + "right": "issue:2083", + "accept": true, + "reason": "Both describe the same scheduler/generator incompatibility: lists of generators are passed where schedulers expect a single generator, with DDIMScheduler+eta>0 as a specific manifestation." + }, + { + "left": "issue:2214", + "right": "issue:2769", + "accept": false, + "reason": "NSFW filter regression vs model conversion corruption; different problems." + }, + { + "left": "issue:2277", + "right": "issue:6093", + "accept": false, + "reason": "Wrong attention_head_dim length vs hub push behavior in a training script; unrelated." + }, + { + "left": "issue:2447", + "right": "issue:713", + "accept": false, + "reason": "Generic LoRA error vs generic training error; too vague and no evidence of the same root cause." + }, + { + "left": "issue:3113", + "right": "issue:4042", + "accept": false, + "reason": "Both are about conditioning/control ideas, but they target different techniques and integration points." + }, + { + "left": "issue:3564", + "right": "issue:6372", + "accept": false, + "reason": "Uni-ControlNet support vs SVD+ControlNet; same broad area, but not the same concrete change." + }, + { + "left": "issue:4349", + "right": "issue:6201", + "accept": false, + "reason": "Both concern prompt_embeds/text handling, but they affect different pipelines and different code paths." + }, + { + "left": "issue:4638", + "right": "issue:9078", + "accept": false, + "reason": "Textual inversion on SDXL vs Flux LoRA loading; different adapter/model support requests." + }, + { + "left": "issue:5079", + "right": "issue:6513", + "accept": false, + "reason": "LoRA loading support vs T2IAdapter model support; different features." + }, + { + "left": "issue:7454", + "right": "issue:9241", + "accept": false, + "reason": "General LoRA support vs a conversion script from XLab LoRA; related topic, but not the same underlying change." + }, + { + "left": "issue:8588", + "right": "issue:8671", + "accept": false, + "reason": "Missing SD3 conversion script vs redundant code in a DreamBooth LoRA training script; unrelated." + }, + { + "left": "issue:1478", + "right": "issue:5953", + "accept": false, + "reason": "Multiple output images vs mismatched control/image sizes; different pipeline bugs." + }, + { + "left": "issue:4704", + "right": "issue:7276", + "accept": false, + "reason": "Custom Diffusion training failure vs DreamBooth example network errors; unrelated." + }, + { + "left": "issue:3963", + "right": "issue:4727", + "accept": false, + "reason": "Windows auto-download behavior vs local_files_only auto-pipeline behavior; not the same bug." + }, + { + "left": "issue:1033", + "right": "issue:1572", + "accept": false, + "reason": "Both mention stable_diffusion_mega, but one is an IndexError and the other is a broader img2img/inpainting support issue; not clearly the same concrete failure." + }, + { + "left": "issue:4806", + "right": "issue:8373", + "accept": false, + "reason": "Incorrect UNet2DModel parameter type vs wrong error message; different fixes." + }, + { + "left": "issue:10520", + "right": "issue:8264", + "accept": false, + "reason": "Device mismatch on Sana 4K inference vs training stuck at 0%; unrelated." + }, + { + "left": "issue:1572", + "right": "issue:964", + "accept": false, + "reason": "Stable_diffusion_mega img2img/inpainting failure vs inpainting example not working; too broad and not clearly the same code path." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: it correctly notes that only issues are present, and the 1909/2083 pair is the only clearly supported duplicate based on the issue titles. The other soft-edge rejections are conservative and do not overclaim evidence. No obvious unsupported inference or mergeability problem is present." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 242, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10448", + "issue:10470", + "issue:10798", + "issue:10954", + "issue:11033", + "issue:11093", + "issue:11307", + "issue:11314", + "issue:11555", + "issue:12037", + "issue:12052", + "issue:12423", + "issue:1246", + "issue:12738", + "issue:12905", + "issue:13034", + "issue:13073", + "issue:1315", + "issue:13162", + "issue:13286", + "issue:1375", + "issue:1934", + "issue:4141", + "issue:4375", + "issue:4399", + "issue:4453", + "issue:4480", + "issue:4506", + "issue:4726", + "issue:5016", + "issue:5574", + "issue:5685", + "issue:6201", + "issue:6398", + "issue:668", + "issue:7322", + "issue:8407", + "issue:8495", + "issue:8500", + "issue:8535", + "issue:8593", + "issue:8708", + "issue:8723", + "issue:8880", + "issue:9460", + "issue:9686", + "issue:9902", + "issue:9942" + ], + "soft_pairs": [ + "issue:10798|issue:13034", + "issue:12037|issue:13162", + "issue:1315|issue:1375", + "issue:11033|issue:12423", + "issue:4453|issue:5574", + "issue:9902|issue:9942", + "issue:5685|issue:8407", + "issue:4375|issue:8880", + "issue:4480|issue:4726", + "issue:5016|issue:7322", + "issue:4141|issue:4399", + "issue:1246|issue:668", + "issue:4506|issue:6201", + "issue:8495|issue:8593", + "issue:11307|issue:12052", + "issue:1934|issue:6398", + "issue:8500|issue:8535", + "issue:8708|issue:9686", + "issue:8723|issue:9460", + "issue:10448|issue:10954", + "issue:11314|issue:12905", + "issue:10470|issue:11093", + "issue:11555|issue:13286", + "issue:12738|issue:13073" + ], + "prepared_review_unit_hash": "685f90fe072f322130bd878898dde609dac2981cbfbc12b322d855de31fca3c7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33561, + "estimated_input_tokens": 8391, + "estimated_eval_tokens": 17038 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly heterogeneous: the soft pairs share broad themes like loading, offloading, or TorchAO, but not the same concrete bug/change. I would keep the pairs separate; none are strong duplicate matches. Among the issues, 11555 is the broadest open, user-facing pipeline/device-map request and is the best representative of the cluster.", + "confidence": 0.67, + "canonical_issue_reason": "11555 is the most general open issue in the set and has inbound references, making it the best representative for a broad pipeline/device-map/offloading concern.", + "canonical_pr_reason": null, + "best_issue_reason": "11555 is the broadest, most central issue here; the others are mostly narrow, model-specific bug reports that do not form a single duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10798", + "right": "issue:13034", + "accept": false, + "reason": "Different models and failures: Flux/BitsAndBytes quantization device-combination bug vs WanPipeline height/width handling." + }, + { + "left": "issue:12037", + "right": "issue:13162", + "accept": false, + "reason": "Both mention LoRA/model compatibility, but they are different models and different failure modes." + }, + { + "left": "issue:1315", + "right": "issue:1375", + "accept": false, + "reason": "Both are import-related, but one is a missing symbol regression and the other is a broader import failure; not clearly the same root cause." + }, + { + "left": "issue:11033", + "right": "issue:12423", + "accept": false, + "reason": "Different from_single_file paths for different model classes; no evidence of the same bug." + }, + { + "left": "issue:4453", + "right": "issue:5574", + "accept": false, + "reason": "LoRA conversion/export vs training a subset of UNet attention parameters are different tasks." + }, + { + "left": "issue:9902", + "right": "issue:9942", + "accept": false, + "reason": "Conda version pinning/install metadata issue vs pip dependency installation failure; unrelated." + }, + { + "left": "issue:5685", + "right": "issue:8407", + "accept": false, + "reason": "Generic scheduler concerns vs a specific UniPC set_timesteps kwargs incompatibility; too broad to merge." + }, + { + "left": "issue:4375", + "right": "issue:8880", + "accept": false, + "reason": "Inference crash under torch.compile vs a speed regression; different concrete problems." + }, + { + "left": "issue:4480", + "right": "issue:4726", + "accept": false, + "reason": "MPS float16 kernel crash and callback type annotation are unrelated." + }, + { + "left": "issue:5016", + "right": "issue:7322", + "accept": false, + "reason": "Text-encoder training limitation vs SIGKILL during training; different underlying issues." + }, + { + "left": "issue:4141", + "right": "issue:4399", + "accept": false, + "reason": "Different code paths: multi-controlnet behavior vs torch compile/cpu offload incompatibility." + }, + { + "left": "issue:1246", + "right": "issue:668", + "accept": false, + "reason": "Both are dreambooth runtime errors, but the titles point to different failure contexts and not the same bug." + }, + { + "left": "issue:4506", + "right": "issue:6201", + "accept": false, + "reason": "Prompt_embeds overwrite bug vs prompt-absent prompt encoding logic; related area, different defect." + }, + { + "left": "issue:8495", + "right": "issue:8593", + "accept": false, + "reason": "Tokenizer initialization error vs bfloat16 noise on CPU; unrelated SD3 problems." + }, + { + "left": "issue:11307", + "right": "issue:12052", + "accept": false, + "reason": "Both involve offloading/device mismatch, but they are different models and different failure paths." + }, + { + "left": "issue:1934", + "right": "issue:6398", + "accept": false, + "reason": "Specific cpu_offload VRAM usage issue vs generic memory leak report; not the same bug." + }, + { + "left": "issue:8500", + "right": "issue:8535", + "accept": false, + "reason": "SD3 token-limit question vs xformers memory-efficient attention support; unrelated." + }, + { + "left": "issue:8708", + "right": "issue:9686", + "accept": false, + "reason": "Missing shift_factor in training examples vs ControlNet pooled projections bug; different parts of SD3." + }, + { + "left": "issue:8723", + "right": "issue:9460", + "accept": false, + "reason": "Initialization error from_transformer vs feature request to assign a list of ControlNets; not the same issue." + }, + { + "left": "issue:10448", + "right": "issue:10954", + "accept": false, + "reason": "DDUF/mmap loading feature request vs a LoRA loading failure; different artifacts and code paths." + }, + { + "left": "issue:11314", + "right": "issue:12905", + "accept": false, + "reason": "Flux controlnet training script mistake vs Z-Image guidance scale implementation bug; unrelated." + }, + { + "left": "issue:10470", + "right": "issue:11093", + "accept": false, + "reason": "Both mention TorchAO, but one is Flux inference not working and the other is a broken example; not clearly the same concrete bug." + }, + { + "left": "issue:11555", + "right": "issue:13286", + "accept": false, + "reason": "Device_map='auto' support for pipelines vs torchao>=0.16.0 quantization support; different capabilities." + }, + { + "left": "issue:12738", + "right": "issue:13073", + "accept": false, + "reason": "ZImage batch-size assertion vs ZImageControlNet guidance_scale behavior; different failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 243, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10227", + "issue:10596", + "issue:10950", + "issue:11127", + "issue:11221", + "issue:11555", + "issue:11648", + "issue:13104", + "issue:1398", + "issue:1439", + "issue:1519", + "issue:1805", + "issue:1918", + "issue:2177", + "issue:2375", + "issue:2439", + "issue:2500", + "issue:2581", + "issue:2646", + "issue:2663", + "issue:2712", + "issue:272", + "issue:3120", + "issue:321", + "issue:3694", + "issue:4031", + "issue:4086", + "issue:4282", + "issue:4312", + "issue:525", + "issue:5894", + "issue:6146", + "issue:6357", + "issue:6372", + "issue:6700", + "issue:7054", + "issue:7079", + "issue:7640", + "issue:785", + "issue:7960", + "issue:8429", + "issue:8493", + "issue:8894", + "issue:9387", + "issue:954", + "issue:969", + "issue:9690", + "issue:9972" + ], + "soft_pairs": [ + "issue:11221|issue:7960", + "issue:2646|issue:2663", + "issue:6146|issue:8894", + "issue:1918|issue:2439", + "issue:2581|issue:4086", + "issue:2712|issue:3694", + "issue:272|issue:4312", + "issue:6372|issue:9387", + "issue:10227|issue:11555", + "issue:10950|issue:8429", + "issue:1398|issue:1519", + "issue:4031|issue:6357", + "issue:11127|issue:13104", + "issue:3120|issue:4282", + "issue:2500|issue:969", + "issue:10596|issue:7079", + "issue:1439|issue:525", + "issue:1805|issue:321", + "issue:7054|issue:8493", + "issue:11648|issue:9690", + "issue:6700|issue:7640", + "issue:5894|issue:9972", + "issue:2375|issue:785", + "issue:2177|issue:954" + ], + "prepared_review_unit_hash": "6ff5323f5d15f6168d470affb4a2ba910941b165120270cf6959d17dd1132a69", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33636, + "estimated_input_tokens": 8409, + "estimated_eval_tokens": 17074 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: the items span unrelated bugs, feature requests, docs issues, and different model/pipeline failures. The only commonality is superficial similarity in loading/training/error wording, so all soft-edge links should be rejected.", + "confidence": 0.72, + "canonical_issue_reason": "Issue 10227 is the strongest representative: it is a concrete, actionable runtime bug with an explicit error message, while most others are either different subsystems, feature requests, or unrelated failure modes.", + "canonical_pr_reason": null, + "best_issue_reason": "10227 is the clearest bug report in the set and the most plausible anchor for a triage cluster, even though the surrounding items are not true duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11221", + "right": "issue:7960", + "accept": false, + "reason": "Different failures: autoencoder non-convergence vs SDXL multi-GPU training failure." + }, + { + "left": "issue:2646", + "right": "issue:2663", + "accept": false, + "reason": "Different components and symptoms: tiled VAE index error vs safety checker local-file loading failure." + }, + { + "left": "issue:6146", + "right": "issue:8894", + "accept": false, + "reason": "Different training scripts and bug reports; no shared code-path evidence." + }, + { + "left": "issue:1918", + "right": "issue:2439", + "accept": false, + "reason": "DDIM scheduler issue for one example vs inpainting pipeline load/run issue." + }, + { + "left": "issue:2581", + "right": "issue:4086", + "accept": false, + "reason": "ControlNet checkpoint conversion support vs SDXL ControlNet training not working." + }, + { + "left": "issue:2712", + "right": "issue:3694", + "accept": false, + "reason": "Missing config key warning vs missing model_index/config files in a finetuning example." + }, + { + "left": "issue:272", + "right": "issue:4312", + "accept": false, + "reason": "Inpainting scheduler support request vs SAG support request; separate features." + }, + { + "left": "issue:6372", + "right": "issue:9387", + "accept": false, + "reason": "SVD + ControlNet request vs MimicMotion pipeline request; different pipelines." + }, + { + "left": "issue:10227", + "right": "issue:11555", + "accept": false, + "reason": "LoRA shape restriction bug vs device_map=\"auto\" support question; unrelated issues." + }, + { + "left": "issue:10950", + "right": "issue:8429", + "accept": false, + "reason": "Broken docs section vs a failing inference script; different artifact types." + }, + { + "left": "issue:1398", + "right": "issue:1519", + "accept": false, + "reason": "Both involve Apple/MPS, but one is SD2 support and the other is noisy batch input; not the same bug." + }, + { + "left": "issue:4031", + "right": "issue:6357", + "accept": false, + "reason": "Local safety-checker loading failure vs API/local output differences; different problems." + }, + { + "left": "issue:11127", + "right": "issue:13104", + "accept": false, + "reason": "Single-file FLUX model loading failure vs a logger NameError; unrelated code paths." + }, + { + "left": "issue:3120", + "right": "issue:4282", + "accept": false, + "reason": "ControlNet training produces same output vs request for multi-ControlNet pipeline; bug vs feature request." + }, + { + "left": "issue:2500", + "right": "issue:969", + "accept": false, + "reason": "Meta-tensor copy error in tests vs multi-GPU Accelerate test failure; different contexts." + }, + { + "left": "issue:10596", + "right": "issue:7079", + "accept": false, + "reason": "FluxControlPipeline invalid shape error vs Transformer2DModel patch/layer_norm error; distinct failures." + }, + { + "left": "issue:1439", + "right": "issue:525", + "accept": false, + "reason": "Missing transformers FeatureExtractionMixin vs notebook loading local images; no shared code-path." + }, + { + "left": "issue:1805", + "right": "issue:321", + "accept": false, + "reason": "Feature request for scalable diffusion pipeline vs Blended Diffusion request; unrelated features." + }, + { + "left": "issue:7054", + "right": "issue:8493", + "accept": false, + "reason": "LoRA loader mutates the input state_dict vs SD3Transformer2DModel state_dict loading errors; different bugs." + }, + { + "left": "issue:11648", + "right": "issue:9690", + "accept": false, + "reason": "How to load LoRA with FP8 transformer vs FLUX FP8 example cleanup; different scope." + }, + { + "left": "issue:6700", + "right": "issue:7640", + "accept": false, + "reason": "Attention processor temb argument bug vs SDXL from_single_file dimension error; unrelated runtime issues." + }, + { + "left": "issue:5894", + "right": "issue:9972", + "accept": false, + "reason": "Invalid buffer size error vs a 10TB buffer request on macOS; not the same underlying bug." + }, + { + "left": "issue:2375", + "right": "issue:785", + "accept": false, + "reason": "safe_open NameError vs PNDM scheduler performance issue; different code paths and severity." + }, + { + "left": "issue:2177", + "right": "issue:954", + "accept": false, + "reason": "AutoencoderKL loading failure vs post-login loading failure; unrelated symptoms." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 244, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10085", + "issue:10150", + "issue:10194", + "issue:10475", + "issue:10672", + "issue:1109", + "issue:12359", + "issue:12367", + "issue:13477", + "issue:1363", + "issue:1536", + "issue:1643", + "issue:1672", + "issue:1941", + "issue:1976", + "issue:2420", + "issue:2507", + "issue:2783", + "issue:2961", + "issue:3116", + "issue:3455", + "issue:3672", + "issue:3799", + "issue:3970", + "issue:4061", + "issue:4148", + "issue:4312", + "issue:5283", + "issue:5334", + "issue:5462", + "issue:5821", + "issue:6091", + "issue:6418", + "issue:7061", + "issue:7341", + "issue:7450", + "issue:7490", + "issue:8803", + "issue:8805", + "issue:8876", + "issue:8970", + "issue:8997", + "issue:941", + "issue:954", + "issue:9844", + "issue:9902", + "issue:9926", + "issue:9958" + ], + "soft_pairs": [ + "issue:2783|issue:5462", + "issue:2961|issue:3455", + "issue:3116|issue:941", + "issue:4148|issue:4312", + "issue:5283|issue:6418", + "issue:5334|issue:8803", + "issue:5821|issue:7490", + "issue:8803|issue:8805", + "issue:1109|issue:2507", + "issue:10085|issue:10475", + "issue:3672|issue:7450", + "issue:3970|issue:4061", + "issue:8970|issue:8997", + "issue:12359|issue:13477", + "issue:10672|issue:12367", + "issue:9926|issue:9958", + "issue:1643|issue:2420", + "issue:10150|issue:9844", + "issue:1976|issue:3799", + "issue:7061|issue:8876", + "issue:7341|issue:9902", + "issue:1363|issue:1536", + "issue:1941|issue:954", + "issue:10194|issue:12367", + "issue:1672|issue:6091" + ], + "prepared_review_unit_hash": "55196074df1cdb896d29b310229b0928967d5730322dfbb116a30b85a44d7c13", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33935, + "estimated_input_tokens": 8484, + "estimated_eval_tokens": 17224 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous issue noise rather than a single duplicate family. The soft pairs share broad subsystem keywords, but they describe different bugs/features and should not be merged as duplicates.", + "confidence": 0.78, + "canonical_issue_reason": "issue:3672 is the strongest representative only because it has the most discussion and inbound references, and it is a real runtime inference bug; however, the surrounding items are not true duplicates of it.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3672 best represents the cluster for triage, but only as a broad inference-bug exemplar, not as a canonical duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2783", + "right": "issue:5462", + "accept": false, + "reason": "Different requests: creating a ControlNet img2img/inpainting pipeline vs adding img2img for latent consistency models." + }, + { + "left": "issue:2961", + "right": "issue:3455", + "accept": false, + "reason": "Different pipeline training asks: StableUnCLIP training example vs using a pretrained instruct-pix2pix model during instruct-pix2pix training." + }, + { + "left": "issue:3116", + "right": "issue:941", + "accept": false, + "reason": "Both are img2img scheduler issues, but they affect different pipelines and symptoms (KDPM2DiscreteScheduler latent noise vs MPS num_images_per_prompt noise)." + }, + { + "left": "issue:4148", + "right": "issue:4312", + "accept": false, + "reason": "Unrelated SDXL inpainting config error vs a feature request for SAG in inpainting/img2img." + }, + { + "left": "issue:5283", + "right": "issue:6418", + "accept": false, + "reason": "Completely different domains: audio/video caption merging vs stable video diffusion training output repeating the first frame." + }, + { + "left": "issue:5334", + "right": "issue:8803", + "accept": false, + "reason": "Different problems: Accelerate multi-model training API usage vs a duplicate hidden_states assignment in attention_processor." + }, + { + "left": "issue:5821", + "right": "issue:7490", + "accept": false, + "reason": "Both mention backward, but one is a CUDA training/backward failure and the other is a generic problem in backward with no concrete shared code path." + }, + { + "left": "issue:8803", + "right": "issue:8805", + "accept": false, + "reason": "Different bugs: attention_processor hidden_states assignment vs convert_diffusers_to_original_sdxl.py breaking." + }, + { + "left": "issue:1109", + "right": "issue:2507", + "accept": false, + "reason": "Both concern performance/CPU/GPU usage, but one is CPU core underutilization and the other is slower safetensors loading on GPU." + }, + { + "left": "issue:10085", + "right": "issue:10475", + "accept": false, + "reason": "LyCORIS batch inference skip_guidance_layers runtime error is not the same as SD3 inference quality mismatch vs validation." + }, + { + "left": "issue:3672", + "right": "issue:7450", + "accept": false, + "reason": "Threading/concurrency problems in different components: StableDiffusionPipeline inference threads vs AutoencoderKL multi-thread issues." + }, + { + "left": "issue:3970", + "right": "issue:4061", + "accept": false, + "reason": "Both are SDXL-related, but one is prompt embeddings failing and the other is a LoRA loading error." + }, + { + "left": "issue:8970", + "right": "issue:8997", + "accept": false, + "reason": "Same model family, but different failures: MPS black images vs EDMDPMSolverMultistepScheduler usage error." + }, + { + "left": "issue:12359", + "right": "issue:13477", + "accept": false, + "reason": "Different bug classes: Chroma guidance_scale documentation problem vs ErnieImage callback locals() scope bug." + }, + { + "left": "issue:10672", + "right": "issue:12367", + "accept": false, + "reason": "One is a callback API support request for pipelines; the other is a request for Qwen-Image Eligen LoRA support." + }, + { + "left": "issue:9926", + "right": "issue:9958", + "accept": false, + "reason": "Both are model optimization/support requests, but one asks for gguf quantize/speed support and the other for AutoencoderKLTemporalDecoder tiling." + }, + { + "left": "issue:1643", + "right": "issue:2420", + "accept": false, + "reason": "Similar xformers wording, but different contexts: DreamBooth API mismatch vs text-to-image LoRA training failure with xformers enabled." + }, + { + "left": "issue:10150", + "right": "issue:9844", + "accept": false, + "reason": "Both mention inference/loading quality/performance, but one is SDXL slow loading/inference and the other is SDXL VAE encoder producing NaNs." + }, + { + "left": "issue:1976", + "right": "issue:3799", + "accept": false, + "reason": "Both are type/file-resolution errors, but one is tokenizer config lookup and the other is incorrect inferred scheduler type." + }, + { + "left": "issue:7061", + "right": "issue:8876", + "accept": false, + "reason": "Both are doc/config issues, but one is an incorrect Imagic community pipeline docstring and the other is missing PixArt Sigma resolution microconditioning." + }, + { + "left": "issue:7341", + "right": "issue:9902", + "accept": false, + "reason": "Unrelated failures: TorchVersion/Version comparison TypeError vs conda version getting stuck." + }, + { + "left": "issue:1363", + "right": "issue:1536", + "accept": false, + "reason": "Both involve LPW/custom pipeline compatibility, but one is an ONNX long-prompt-weight scheduler error and the other is a custom pipeline incompatibility with newer diffusers." + }, + { + "left": "issue:1941", + "right": "issue:954", + "accept": false, + "reason": "Different loading/login problems: custom pipeline loading for UnCLIP vs not able to load after successful login." + }, + { + "left": "issue:10194", + "right": "issue:12367", + "accept": false, + "reason": "A feature request for Flux attention masking is not the same as a Qwen-Image LoRA support request." + }, + { + "left": "issue:1672", + "right": "issue:6091", + "accept": false, + "reason": "Different size/memory bugs: ckpt-to-diffusers script producing wrong image size vs consistency decoder memory issue with size argument." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 245, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10128", + "issue:10144", + "issue:10591", + "issue:10653", + "issue:1082", + "issue:11000", + "issue:11486", + "issue:11833", + "issue:11973", + "issue:1249", + "issue:12540", + "issue:12620", + "issue:12905", + "issue:13073", + "issue:1704", + "issue:1992", + "issue:2560", + "issue:2988", + "issue:3176", + "issue:3391", + "issue:3452", + "issue:3887", + "issue:3908", + "issue:4159", + "issue:4520", + "issue:4542", + "issue:4557", + "issue:4680", + "issue:4839", + "issue:5028", + "issue:5465", + "issue:590", + "issue:6359", + "issue:6529", + "issue:6548", + "issue:6906", + "issue:7428", + "issue:7722", + "issue:7773", + "issue:8237", + "issue:8317", + "issue:8589", + "issue:8637", + "issue:8708", + "issue:9477", + "issue:9495", + "issue:967", + "issue:9936" + ], + "soft_pairs": [ + "issue:3452|issue:6906", + "issue:8317|issue:8708", + "issue:4159|issue:5465", + "issue:8237|issue:9477", + "issue:4520|issue:5028", + "issue:7722|issue:9495", + "issue:12540|issue:13073", + "issue:11973|issue:9936", + "issue:2988|issue:590", + "issue:3391|issue:4557", + "issue:2560|issue:3908", + "issue:10128|issue:7428", + "issue:10144|issue:7773", + "issue:10591|issue:12905", + "issue:10653|issue:11833", + "issue:1082|issue:4839", + "issue:11000|issue:12620", + "issue:11486|issue:8589", + "issue:1249|issue:967", + "issue:1704|issue:1992", + "issue:3176|issue:6359", + "issue:3887|issue:8637", + "issue:4542|issue:6548", + "issue:4680|issue:6529" + ], + "prepared_review_unit_hash": "25840701fb225755ebc6d520df9b06ea9cdef33bd97e0332bd0f848f2d392eb9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33865, + "estimated_input_tokens": 8467, + "estimated_eval_tokens": 17190 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated issues that only share broad keywords like DreamBooth, LoRA, pipelines, or scheduler names. The suggested soft links are superficial; none look like the same underlying bug or change.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue: the set spans many distinct bugs, features, and examples across different pipelines and training scripts.", + "canonical_pr_reason": null, + "best_issue_reason": "No best issue for deduplication: there is no coherent duplicate cluster to collapse into one representative issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3452", + "right": "issue:6906", + "accept": false, + "reason": "Both mention DreamBooth, but one is a low-VRAM question and the other is a broken LoRA example; different problems and fixes." + }, + { + "left": "issue:8317", + "right": "issue:8708", + "accept": false, + "reason": "Both concern VAE-related training issues, but one is a missing generator arg in decode/forward and the other is a missing shift_factor config; not the same bug." + }, + { + "left": "issue:4159", + "right": "issue:5465", + "accept": false, + "reason": "Both involve DiffEdit, but one is excessive VRAM use and the other is an inpaint_strength limitation; separate code-path issues." + }, + { + "left": "issue:8237", + "right": "issue:9477", + "accept": false, + "reason": "One is a missing LoRA key during loading; the other is a GatheredParameters callable error. Different failure modes." + }, + { + "left": "issue:4520", + "right": "issue:5028", + "accept": false, + "reason": "Both touch LoRA/scale wording, but one is an attention slicing compatibility bug and the other is an unexpected keyword in an SDXL reference pipeline; not duplicates." + }, + { + "left": "issue:7722", + "right": "issue:9495", + "accept": false, + "reason": "Both involve advanced adapter/control features, but they are different pipeline combinations and different runtime errors." + }, + { + "left": "issue:12540", + "right": "issue:13073", + "accept": false, + "reason": "Both mention Sana/ZImage guidance, but one says the embeddings do not work with SanaPipeline while the other is specifically about guidance_scale>1 in a controlnet pipeline." + }, + { + "left": "issue:11973", + "right": "issue:9936", + "accept": false, + "reason": "One is a missing CLI argument in a training script; the other is an NCCL timeout in multi-GPU ControlNet training. Unrelated." + }, + { + "left": "issue:2988", + "right": "issue:590", + "accept": false, + "reason": "Scheduler names overlap, but one is a crash at equal step counts and the other is a Karras noise-level formula typo." + }, + { + "left": "issue:3391", + "right": "issue:4557", + "accept": false, + "reason": "A super-resolution overexposure bug is unrelated to a __getattr__ AttributeError." + }, + { + "left": "issue:2560", + "right": "issue:3908", + "accept": false, + "reason": "Both mention generated output differences, but one is about list-of-generators determinism and the other is Streamlit model caching." + }, + { + "left": "issue:10128", + "right": "issue:7428", + "accept": false, + "reason": "A request for fastercache support is not the same as a general question about layer diffusion support." + }, + { + "left": "issue:10144", + "right": "issue:7773", + "accept": false, + "reason": "Mochi video quality vs Stable Video Diffusion batch-size bug are different models and different issues." + }, + { + "left": "issue:10591", + "right": "issue:12905", + "accept": false, + "reason": "SD3 LoRA training script concerns are unrelated to Z_Image guidance-scale implementation." + }, + { + "left": "issue:10653", + "right": "issue:11833", + "accept": false, + "reason": "One is a bitsandbytes .to(cpu) limitation on a transformer model; the other is a KeyError in set_lora_device after loading. Different bugs." + }, + { + "left": "issue:1082", + "right": "issue:4839", + "accept": false, + "reason": "A CUDA CUBLAS matmul failure in DreamBooth is not the same as a type error around lora_scale." + }, + { + "left": "issue:11000", + "right": "issue:12620", + "accept": false, + "reason": "Missing shift argument in a pipeline call is unrelated to missing release assets." + }, + { + "left": "issue:11486", + "right": "issue:8589", + "accept": false, + "reason": "Both are training-script topics, but one requests enabling xformers attention and the other is prior-preservation support in SD3 DreamBooth." + }, + { + "left": "issue:1249", + "right": "issue:967", + "accept": false, + "reason": "Different ONNX/scheduler incompatibility errors with different call sites and symptoms." + }, + { + "left": "issue:1704", + "right": "issue:1992", + "accept": false, + "reason": "A general attention-block question and a JAX attention refactor discussion are related only by topic, not by a concrete bug." + }, + { + "left": "issue:3176", + "right": "issue:6359", + "accept": false, + "reason": "TensorRT demo error and EulerDiscreteScheduler velocity/add_noise error are unrelated." + }, + { + "left": "issue:3887", + "right": "issue:8637", + "accept": false, + "reason": "A generic SD pipeline output difference is not the same as an import failure for PixArtSigmaPipeline." + }, + { + "left": "issue:4542", + "right": "issue:6548", + "accept": false, + "reason": "Both concern img2img output handling, but one is an image-count limitation and the other is RGBA images being mistreated as latents." + }, + { + "left": "issue:4680", + "right": "issue:6529", + "accept": false, + "reason": "SDXL inpainting fine-tuning and Fooocus inpaint are distinct feature requests/issues, not the same defect." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 246, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10231", + "issue:10287", + "issue:1185", + "issue:12633", + "issue:1274", + "issue:13243", + "issue:1574", + "issue:1730", + "issue:1896", + "issue:2068", + "issue:2306", + "issue:2775", + "issue:2784", + "issue:2985", + "issue:3363", + "issue:3420", + "issue:3584", + "issue:3591", + "issue:3765", + "issue:3769", + "issue:3915", + "issue:4471", + "issue:4480", + "issue:4702", + "issue:4747", + "issue:4841", + "issue:4913", + "issue:4964", + "issue:5226", + "issue:5390", + "issue:5412", + "issue:5480", + "issue:5546", + "issue:5570", + "issue:5628", + "issue:5689", + "issue:5714", + "issue:5989", + "issue:6068", + "issue:6234", + "issue:6593", + "issue:6598", + "issue:7368", + "issue:7490", + "issue:7665", + "issue:7836", + "issue:8994", + "issue:9933" + ], + "soft_pairs": [ + "issue:4702|issue:7368", + "issue:4841|issue:6234", + "issue:4964|issue:5390", + "issue:5226|issue:6593", + "issue:5689|issue:6068", + "issue:5989|issue:7836", + "issue:6598|issue:9933", + "issue:3363|issue:3584", + "issue:2775|issue:5570", + "issue:5546|issue:5628", + "issue:1274|issue:1896", + "issue:10231|issue:10287", + "issue:2306|issue:4747", + "issue:1185|issue:1730", + "issue:3765|issue:3769", + "issue:3420|issue:3915", + "issue:7490|issue:7665", + "issue:12633|issue:13243", + "issue:4480|issue:8994", + "issue:1574|issue:5412", + "issue:2068|issue:3591", + "issue:2784|issue:5480", + "issue:2985|issue:4913", + "issue:4471|issue:5714" + ], + "prepared_review_unit_hash": "f9307419abcfaf6f14521bf9a93dfc799e71ccc3f5b5ea5d221f857511e6773b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33606, + "estimated_input_tokens": 8402, + "estimated_eval_tokens": 17060 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a loose collection of unrelated issues, mostly about different pipelines, schedulers, training examples, or environment-specific failures. None of the soft pairs look like the same underlying bug/change strongly enough to merge.", + "confidence": 0.96, + "canonical_issue_reason": "No clear canonical issue: the items span many unrelated reports and feature requests rather than one duplicate cluster.", + "canonical_pr_reason": "No PRs are present in the input, so there is no canonical PR candidate.", + "best_issue_reason": "No single issue is a strong global representative; the set does not form one coherent duplicate family.", + "best_pr_reason": "No PRs present, so none can be selected as a representative PR.", + "soft_edge_verdicts": [ + { + "left": "issue:4702", + "right": "issue:7368", + "accept": false, + "reason": "Both are training-example requests, but they ask for different examples/models and do not describe the same bug or change." + }, + { + "left": "issue:4841", + "right": "issue:6234", + "accept": false, + "reason": "Both mention example/pipeline problems, but one is a ControlNet image-size issue and the other is an SDXL training script problem." + }, + { + "left": "issue:4964", + "right": "issue:5390", + "accept": false, + "reason": "One is about converting SDXL models; the other is about unwanted text-encoder downloads with local_files_only. Different failures." + }, + { + "left": "issue:5226", + "right": "issue:6593", + "accept": false, + "reason": "Both involve LoRA support in SDXL pipelines, but they target different pipeline classes and read as separate feature gaps." + }, + { + "left": "issue:5689", + "right": "issue:6068", + "accept": false, + "reason": "Both concern scheduler/image quality behavior, but they are different schedulers with different symptoms and likely different code paths." + }, + { + "left": "issue:5989", + "right": "issue:7836", + "accept": false, + "reason": "Completely different topics: a safetensors bug versus CLIP training overfitting." + }, + { + "left": "issue:6598", + "right": "issue:9933", + "accept": false, + "reason": "An img2img reproducibility complaint is not the same as a missing width/height parameter in SD3 img2img." + }, + { + "left": "issue:3363", + "right": "issue:3584", + "accept": false, + "reason": "Both are DreamBooth-related, but one is a LoRA training script failure and the other is a tutorial failure; not the same concrete bug." + }, + { + "left": "issue:2775", + "right": "issue:5570", + "accept": false, + "reason": "Unrelated failures in different areas: torch.compile/dynamo versus a missing compute_snr helper." + }, + { + "left": "issue:5546", + "right": "issue:5628", + "accept": false, + "reason": "Both mention Karras sigmas and step-count offsets, but they involve different scheduler behaviors and are not clearly the same bug." + }, + { + "left": "issue:1274", + "right": "issue:1896", + "accept": false, + "reason": "A num_images_per_prompt failure in SD pipelines is unrelated to a CLIP-guided Stable Diffusion size/type error." + }, + { + "left": "issue:10231", + "right": "issue:10287", + "accept": false, + "reason": "One is a specific Ubuntu diffusers ImportError; the other is a vague documentation example issue, not the same bug." + }, + { + "left": "issue:2306", + "right": "issue:4747", + "accept": false, + "reason": "An INT_MAX error and a missing model_index.json error are different runtime failures." + }, + { + "left": "issue:1185", + "right": "issue:1730", + "accept": false, + "reason": "DreamBooth reproducibility and a CKPT conversion/webui compatibility problem are different issues." + }, + { + "left": "issue:3765", + "right": "issue:3769", + "accept": false, + "reason": "Both describe image artifact problems, but one is ControlNet training stacking effects and the other is a panorama pipeline quartered image output." + }, + { + "left": "issue:3420", + "right": "issue:3915", + "accept": false, + "reason": "Different pipeline families and different failures: ControlNet inpaint integration versus torch.compile on text-to-video." + }, + { + "left": "issue:7490", + "right": "issue:7665", + "accept": false, + "reason": "A generic backward-pass problem is not the same as an instruct_pix2pix pipeline issue." + }, + { + "left": "issue:12633", + "right": "issue:13243", + "accept": false, + "reason": "Both are scheduler timestep-logic bugs, but they affect different schedulers and different list/shift calculations." + }, + { + "left": "issue:4480", + "right": "issue:8994", + "accept": false, + "reason": "A Mac MPS float16 crash is unrelated to generation steps getting stuck at 0." + }, + { + "left": "issue:1574", + "right": "issue:5412", + "accept": false, + "reason": "Both are DreamBooth training failures, but one is a bare-metal GPU/resource issue and the other is resume_from_checkpoint behavior in SDXL LoRA training." + }, + { + "left": "issue:2068", + "right": "issue:3591", + "accept": false, + "reason": "A dtype conversion issue in from_pretrained is unrelated to ControlNet loss-curve confusion." + }, + { + "left": "issue:2784", + "right": "issue:5480", + "accept": false, + "reason": "Different feature requests: DreamBooth for text2video versus implementing EDM." + }, + { + "left": "issue:2985", + "right": "issue:4913", + "accept": false, + "reason": "A Kandinsky 2.1 request and a ControlNet OpenPose SDXL request are separate model additions." + }, + { + "left": "issue:4471", + "right": "issue:5714", + "accept": false, + "reason": "LoRA loading on SDXL Img2Img and PeftModel support in maybe_raise_or_warn are different code paths and not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 247, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10311", + "issue:1082", + "issue:1161", + "issue:11659", + "issue:11700", + "issue:13311", + "issue:2213", + "issue:2614", + "issue:2772", + "issue:2891", + "issue:3019", + "issue:3040", + "issue:3113", + "issue:3381", + "issue:3584", + "issue:3699", + "issue:3728", + "issue:3954", + "issue:4314", + "issue:4353", + "issue:4354", + "issue:4578", + "issue:4753", + "issue:4880", + "issue:5128", + "issue:5205", + "issue:5567", + "issue:5619", + "issue:5763", + "issue:5905", + "issue:5925", + "issue:5931", + "issue:6112", + "issue:6201", + "issue:6616", + "issue:692", + "issue:7370", + "issue:7661", + "issue:7922", + "issue:7946", + "issue:7974", + "issue:8495", + "issue:8537", + "issue:8742", + "issue:898", + "issue:9224", + "issue:9331", + "issue:9610" + ], + "soft_pairs": [ + "issue:5905|issue:5925", + "issue:3040|issue:4880", + "issue:11700|issue:9610", + "issue:5619|issue:6201", + "issue:5567|issue:9331", + "issue:10311|issue:8742", + "issue:7661|issue:7974", + "issue:8537|issue:9224", + "issue:2891|issue:3381", + "issue:2772|issue:5128", + "issue:3954|issue:4753", + "issue:4353|issue:5931", + "issue:11659|issue:13311", + "issue:2213|issue:898", + "issue:4354|issue:7946", + "issue:7922|issue:8495", + "issue:1082|issue:3584", + "issue:1161|issue:692", + "issue:2614|issue:4314", + "issue:3019|issue:5205", + "issue:3113|issue:6616", + "issue:3699|issue:5763", + "issue:3728|issue:7370", + "issue:4578|issue:6112" + ], + "prepared_review_unit_hash": "32f73cb6876c526054fe0e364c50898b0f6ce224f08b3db0794922f08568fc87", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34047, + "estimated_input_tokens": 8512, + "estimated_eval_tokens": 17280 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a heterogeneous cluster of mostly unrelated diffusers issues and feature requests. The soft pairs share broad keywords (DreamBooth, LoRA, loading, pipelines, TPU, docs) but do not look like the same underlying bug/change. No PRs are present.", + "confidence": 0.58, + "canonical_issue_reason": "issue:6201 is the most concrete, self-contained code-path bug in the set and the best representative for triage, even though the cluster overall is not a true duplicate group.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6201 is open, actionable, and has a specific pipeline failure mode, making it the most suitable issue to surface as the cluster's best representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5905", + "right": "issue:5925", + "accept": false, + "reason": "Both are feature requests, but one asks for diffusion-GAN and the other for ZipLoRA; different changes and not the same request." + }, + { + "left": "issue:3040", + "right": "issue:4880", + "accept": false, + "reason": "Different failures in different pipelines: docs-copy-paste AttributeError vs ControlNet image type validation." + }, + { + "left": "issue:11700", + "right": "issue:9610", + "accept": false, + "reason": "Both touch loading workflows, but one is a Pruna/from_pretrained integration request and the other is adding load_lora_weights to an SD3 img2img pipeline." + }, + { + "left": "issue:5619", + "right": "issue:6201", + "accept": false, + "reason": "Both mention encode behavior, but they affect different code paths and have different symptoms in different pipelines." + }, + { + "left": "issue:5567", + "right": "issue:9331", + "accept": false, + "reason": "Unrelated bugs: accelerator.prepare overwriting unet.config vs a scheduler index_for_timestep problem." + }, + { + "left": "issue:10311", + "right": "issue:8742", + "accept": false, + "reason": "Both are import-related, but they refer to different classes/modules and different breakages." + }, + { + "left": "issue:7661", + "right": "issue:7974", + "accept": false, + "reason": "Both involve IP-Adapter, but one is about constructing an AnimateDiff pipeline and the other is an inpaint-specific bug; not the same concrete fix." + }, + { + "left": "issue:8537", + "right": "issue:9224", + "accept": false, + "reason": "Different platform/version errors: missing torch.float8_e4m3fn in SD3 loading vs unsupported torch.float64 on Metal." + }, + { + "left": "issue:2891", + "right": "issue:3381", + "accept": false, + "reason": "Different pipeline bugs; one is a docs mismatch about embeds support, the other is an inpaint batch color/output issue." + }, + { + "left": "issue:2772", + "right": "issue:5128", + "accept": false, + "reason": "Both concern loading/local data, but one blocks local datasets in train_controlnet.py while the other is a single-file .safetensors XLPipeline loading error." + }, + { + "left": "issue:3954", + "right": "issue:4753", + "accept": false, + "reason": "Different training problems: multi-GPU scheduler step count vs an unspecified issue in train_dreambooth_lora.py." + }, + { + "left": "issue:4353", + "right": "issue:5931", + "accept": false, + "reason": "Both affect image generation quality, but one is SDXL output quality and the other is nondeterminism in StableDiffusionPipeline." + }, + { + "left": "issue:11659", + "right": "issue:13311", + "accept": false, + "reason": "The second is a specific Flux2 LoRA prefix/key mismatch; the first is too generic to establish the same underlying bug." + }, + { + "left": "issue:2213", + "right": "issue:898", + "accept": false, + "reason": "Both are TPU-related, but one is a distributed hang and the other is a bfloat16 scalar type exception." + }, + { + "left": "issue:4354", + "right": "issue:7946", + "accept": false, + "reason": "Different loading issues: incorrect return type from from_single_file vs custom_pipeline caching." + }, + { + "left": "issue:7922", + "right": "issue:8495", + "accept": false, + "reason": "Different model/loading failures: missing ORTStableDiffusionXLPipeline attribute vs SD3 tokenizer enum parsing error." + }, + { + "left": "issue:1082", + "right": "issue:3584", + "accept": false, + "reason": "Both mention DreamBooth, but one is a CUDA matmul crash and the other is a tutorial failure; not the same defect." + }, + { + "left": "issue:1161", + "right": "issue:692", + "accept": false, + "reason": "One is a model conversion request and the other is a general fine-tuning example question; unrelated." + }, + { + "left": "issue:2614", + "right": "issue:4314", + "accept": false, + "reason": "Both involve downloads, but one is about changing the cache/download directory and the other about interrupted downloads creating write-protected files." + }, + { + "left": "issue:3019", + "right": "issue:5205", + "accept": false, + "reason": "Different feature ideas in different editing/control workflows; too broad to be the same change." + }, + { + "left": "issue:3113", + "right": "issue:6616", + "accept": false, + "reason": "Both are guidance-related, but cross-attention layout control and classifier guidance are distinct features." + }, + { + "left": "issue:3699", + "right": "issue:5763", + "accept": false, + "reason": "Completely different problems: CUDA-on-OSX runtime error vs safetensors save_pretrained behavior." + }, + { + "left": "issue:3728", + "right": "issue:7370", + "accept": false, + "reason": "Both request new pipelines, but they target different models and tasks (Shifted Diffusion vs OpenSora STDiT)." + }, + { + "left": "issue:4578", + "right": "issue:6112", + "accept": false, + "reason": "Docs mentioning VAE usage and SDXL-turbo noisy output are unrelated symptoms with no shared fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 248, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10204", + "issue:10800", + "issue:11307", + "issue:11436", + "issue:11489", + "issue:11569", + "issue:11651", + "issue:11885", + "issue:1207", + "issue:12175", + "issue:12334", + "issue:12501", + "issue:13067", + "issue:1367", + "issue:2495", + "issue:2669", + "issue:2763", + "issue:2799", + "issue:2905", + "issue:3045", + "issue:3174", + "issue:3218", + "issue:3233", + "issue:3583", + "issue:3960", + "issue:4349", + "issue:487", + "issue:5009", + "issue:5026", + "issue:5205", + "issue:5334", + "issue:5371", + "issue:5578", + "issue:5710", + "issue:590", + "issue:6232", + "issue:7185", + "issue:725", + "issue:7389", + "issue:7600", + "issue:7841", + "issue:801", + "issue:8759", + "issue:917", + "issue:938", + "issue:9858", + "issue:9946", + "issue:9953" + ], + "soft_pairs": [ + "issue:5205|issue:938", + "issue:5334|issue:7600", + "issue:2799|issue:917", + "issue:11651|issue:11885", + "issue:3174|issue:3960", + "issue:5578|issue:7841", + "issue:5710|issue:6232", + "issue:11569|issue:13067", + "issue:1367|issue:590", + "issue:5009|issue:7389", + "issue:5026|issue:7185", + "issue:1207|issue:2669", + "issue:10204|issue:12175", + "issue:11489|issue:9858", + "issue:2905|issue:725", + "issue:10800|issue:8759", + "issue:3045|issue:3233", + "issue:12501|issue:9953", + "issue:12334|issue:9946", + "issue:2763|issue:3218", + "issue:487|issue:801", + "issue:11307|issue:11436", + "issue:2495|issue:4349", + "issue:3583|issue:5371" + ], + "prepared_review_unit_hash": "46dfcce9e376daa1412622b3dcbb9eb060546c6e03d52ccf1f19565489336ded", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33782, + "estimated_input_tokens": 8446, + "estimated_eval_tokens": 17148 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated issues that were only weakly grouped by title similarity. The only plausible duplicate pair is the FLUX LoRA loading failures (11651/11885), which both point to the same LoRA loading path in FLUX.", + "confidence": 0.69, + "canonical_issue_reason": "Issue 11885 is the best representative of the cluster\u2019s only plausible duplicate thread: it names the concrete code path (`load_lora_weights`) and the FLUX.1 context, which is broader and more reusable than the specific FluxControl failure in 11651.", + "canonical_pr_reason": null, + "best_issue_reason": "11885 is the strongest global issue candidate because it is the clearest, most code-path-specific report in the only near-duplicate pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5205", + "right": "issue:938", + "accept": false, + "reason": "Different pipelines and different problem domains; only superficial model/pipeline wording overlaps." + }, + { + "left": "issue:5334", + "right": "issue:7600", + "accept": false, + "reason": "Both mention training accumulation, but one is about Accelerate API behavior and the other is a DreamBooth-specific omission." + }, + { + "left": "issue:2799", + "right": "issue:917", + "accept": false, + "reason": "Different failure modes: checkpoint/pipeline mismatch vs ONNX inpainting error." + }, + { + "left": "issue:11651", + "right": "issue:11885", + "accept": true, + "reason": "Both describe FLUX LoRA loading failures on the same underlying `load_lora_weights` path; the second is the broader/generalized version of the first." + }, + { + "left": "issue:3174", + "right": "issue:3960", + "accept": false, + "reason": "Both involve LoRA-related loading issues, but they concern different bugs and different symptoms." + }, + { + "left": "issue:5578", + "right": "issue:7841", + "accept": false, + "reason": "Completely unrelated errors; no shared code path or concrete behavior." + }, + { + "left": "issue:5710", + "right": "issue:6232", + "accept": false, + "reason": "Same scheduler family, but distinct bugs (`sigmas` initialization vs `add_noise` behavior) and not clearly the same fix." + }, + { + "left": "issue:11569", + "right": "issue:13067", + "accept": false, + "reason": "A feature request for a specific model repo is not the same as a generic feature request to add model support." + }, + { + "left": "issue:1367", + "right": "issue:590", + "accept": false, + "reason": "Both scheduler-related, but one is about saving config with custom betas while the other is a noise-formula typo." + }, + { + "left": "issue:5009", + "right": "issue:7389", + "accept": false, + "reason": "Different models and different errors; no shared underlying bug." + }, + { + "left": "issue:5026", + "right": "issue:7185", + "accept": false, + "reason": "`text_encoder` KeyError is unrelated to a PyTorch version support question." + }, + { + "left": "issue:1207", + "right": "issue:2669", + "accept": false, + "reason": "Both are generic Python/runtime errors, but the symbols and failure causes are unrelated." + }, + { + "left": "issue:10204", + "right": "issue:12175", + "accept": false, + "reason": "Both complain about image quality, but they involve different models and different symptom patterns." + }, + { + "left": "issue:11489", + "right": "issue:9858", + "accept": false, + "reason": "Training LoRA error and a `KeyError: 'train'` report are not the same bug." + }, + { + "left": "issue:2905", + "right": "issue:725", + "accept": false, + "reason": "Scheduler math change vs pipeline loading/memory-device mapping are unrelated." + }, + { + "left": "issue:10800", + "right": "issue:8759", + "accept": false, + "reason": "Quantization/offload dtype issue is unrelated to an image postprocessing warning." + }, + { + "left": "issue:3045", + "right": "issue:3233", + "accept": false, + "reason": "Both mention LoRA conversion, but one is about converting weights to diffusers and the other to safetensors; different tasks and likely different code paths." + }, + { + "left": "issue:12501", + "right": "issue:9953", + "accept": false, + "reason": "Graph break in VAE decoder and quantized pipeline-to-cuda error are separate runtime issues." + }, + { + "left": "issue:12334", + "right": "issue:9946", + "accept": false, + "reason": "Both mention xformers/attention, but the reported problems are not the same code-path failure." + }, + { + "left": "issue:2763", + "right": "issue:3218", + "accept": false, + "reason": "Different performance/regression areas: ControlNet VRAM usage vs graph breaks in attention modules." + }, + { + "left": "issue:487", + "right": "issue:801", + "accept": false, + "reason": "Both are old inpainting/attention issues, but the symptoms and likely fixes are different." + }, + { + "left": "issue:11307", + "right": "issue:11436", + "accept": false, + "reason": "Both concern HiDream, but one is block-level group offloading and the other is a dtype mismatch at inference." + }, + { + "left": "issue:2495", + "right": "issue:4349", + "accept": false, + "reason": "Different pipelines and different failure contexts; not the same bug." + }, + { + "left": "issue:3583", + "right": "issue:5371", + "accept": false, + "reason": "Both are feature requests, but one is broad pipeline support and the other is a specific BLIP inpainting pipe request." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary stays grounded in the packet: most pairs are only weak title-similarity matches and the analyst\u2019s rejects are conservative. The single accepted pair, 11651/11885, is plausible from the titles alone because both concern FLUX LoRA loading on the `load_lora_weights` path. No clear overstatement beyond the available evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 249, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1033", + "issue:10869", + "issue:12501", + "issue:12610", + "issue:12752", + "issue:1284", + "issue:13430", + "issue:1802", + "issue:1925", + "issue:2370", + "issue:2392", + "issue:2780", + "issue:2908", + "issue:3451", + "issue:3461", + "issue:3974", + "issue:4069", + "issue:4086", + "issue:4213", + "issue:4263", + "issue:4264", + "issue:4305", + "issue:4480", + "issue:5108", + "issue:5368", + "issue:5557", + "issue:5997", + "issue:6242", + "issue:6392", + "issue:6393", + "issue:6790", + "issue:7197", + "issue:7199", + "issue:7333", + "issue:7438", + "issue:7509", + "issue:7574", + "issue:8274", + "issue:8410", + "issue:8485", + "issue:8535", + "issue:8539", + "issue:8708", + "issue:8744", + "issue:9101", + "issue:967", + "issue:9792", + "issue:9895" + ], + "soft_pairs": [ + "issue:4069|issue:4263", + "issue:4213|issue:6393", + "issue:4264|issue:8708", + "issue:6242|issue:9792", + "issue:6392|issue:6790", + "issue:7333|issue:7509", + "issue:8485|issue:9101", + "issue:3451|issue:3461", + "issue:1802|issue:967", + "issue:1925|issue:2908", + "issue:1033|issue:2392", + "issue:7199|issue:8274", + "issue:1284|issue:4305", + "issue:10869|issue:9895", + "issue:8535|issue:8539", + "issue:12752|issue:13430", + "issue:3974|issue:8410", + "issue:4086|issue:5108", + "issue:7197|issue:7574", + "issue:4480|issue:7438", + "issue:5368|issue:5557", + "issue:5997|issue:8744", + "issue:12501|issue:12610", + "issue:2370|issue:2780" + ], + "prepared_review_unit_hash": "7d6ce72b6f4447d0adfaa458d506824d7bd1818fff9d02160705662750239766", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33979, + "estimated_input_tokens": 8495, + "estimated_eval_tokens": 17246 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated Diffusers issues spanning different pipelines, models, and error modes. The soft pairs share broad subsystem language, but they do not describe the same underlying bug or change, so all soft edges should be rejected.", + "confidence": 0.81, + "canonical_issue_reason": "issue:12610 is the clearest current bug report with a concrete runtime error and enough context to be actionable; most other items are either older, narrower, or unrelated feature requests.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12610 is the best representative issue in this set because it is open, specific, and has a direct failure mode, while the rest are largely unrelated or less actionable.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4069", + "right": "issue:4263", + "accept": false, + "reason": "Both involve unloading something from a pipeline, but one is textual inversion and the other is LoRA unloading; different code paths and bugs." + }, + { + "left": "issue:4213", + "right": "issue:6393", + "accept": false, + "reason": "Both mention from_single_file, but one is an accelerate dependency issue and the other is private HF download/auth failure; not the same defect." + }, + { + "left": "issue:4264", + "right": "issue:8708", + "accept": false, + "reason": "One is missing SDXL example images, the other is a missing SD3 config field in dreambooth examples; both are docs/examples, but not the same issue." + }, + { + "left": "issue:6242", + "right": "issue:9792", + "accept": false, + "reason": "A request for a log and a dataset cache-mapping failure are not the same bug or change." + }, + { + "left": "issue:6392", + "right": "issue:6790", + "accept": false, + "reason": "Custom LoRA loading failure and LCM training state_dict key mismatch are distinct loading/training problems." + }, + { + "left": "issue:7333", + "right": "issue:7509", + "accept": false, + "reason": "These are different research pipelines/papers with different functionality; not duplicate reports." + }, + { + "left": "issue:8485", + "right": "issue:9101", + "accept": false, + "reason": "SD3 LoRA support and an InstructPix2Pix training script for SD3 are separate feature requests." + }, + { + "left": "issue:3451", + "right": "issue:3461", + "accept": false, + "reason": "Both concern training performance/memory, but one is a fp16 memory regression and the other is a dreambooth speed/vRAM comparison." + }, + { + "left": "issue:1802", + "right": "issue:967", + "accept": false, + "reason": "Unet encoder_hidden_states handling and ONNX scheduler incompatibility are unrelated failures." + }, + { + "left": "issue:1925", + "right": "issue:2908", + "accept": false, + "reason": "Both mention mixed precision, but one is inpainting half-precision failure and the other is ControlNet training script shape/dtype issues." + }, + { + "left": "issue:1033", + "right": "issue:2392", + "accept": false, + "reason": "A stable_diffusion_mega IndexError and an img2img prompt_embeds validation error are different pipeline bugs." + }, + { + "left": "issue:7199", + "right": "issue:8274", + "accept": false, + "reason": "These are separate video/multi-view research pipelines, not the same underlying issue." + }, + { + "left": "issue:1284", + "right": "issue:4305", + "accept": false, + "reason": "Longer sample time with larger batches and a torch.compile graph break are unrelated performance/compiler problems." + }, + { + "left": "issue:10869", + "right": "issue:9895", + "accept": false, + "reason": "Meta tensor .item() failures and FluxPipeline CPU/GPU device mismatch are different runtime issues." + }, + { + "left": "issue:8535", + "right": "issue:8539", + "accept": false, + "reason": "Both are SD3-related, but xformers attention enablement and cross-attention setting errors are different features and failure modes." + }, + { + "left": "issue:12752", + "right": "issue:13430", + "accept": false, + "reason": "Both are image-editing requests, but they target different models and pipelines; not the same change." + }, + { + "left": "issue:3974", + "right": "issue:8410", + "accept": false, + "reason": "Missing safetensors support in a ControlNet inpaint pipeline and adding native TextDiffuser support are unrelated tasks." + }, + { + "left": "issue:4086", + "right": "issue:5108", + "accept": false, + "reason": "Both touch SDXL training, but they describe different pipeline failures: ControlNet training vs Multiadapter exceptions." + }, + { + "left": "issue:7197", + "right": "issue:7574", + "accept": false, + "reason": "Different KeyError values from different training/loading paths; not the same bug." + }, + { + "left": "issue:4480", + "right": "issue:7438", + "accept": false, + "reason": "MPS fp16 kernel crashes on Mac and XPU generation stalls are unrelated device-specific issues." + }, + { + "left": "issue:5368", + "right": "issue:5557", + "accept": false, + "reason": "A dtype mismatch in fp16 training and an unexpected keyword argument error are not the same defect." + }, + { + "left": "issue:5997", + "right": "issue:8744", + "accept": false, + "reason": "Tutorial model-type mismatch and a request to use from_single_file in advanced training are separate issues." + }, + { + "left": "issue:12501", + "right": "issue:12610", + "accept": false, + "reason": "A VAE decoder graph break from iterating an iterator and a device mismatch under Quanto + group offload are different code-path problems." + }, + { + "left": "issue:2370", + "right": "issue:2780", + "accept": false, + "reason": "A question about LoRA training feasibility and an FP16 gradient unscale error are not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 250, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10470", + "issue:10658", + "issue:10767", + "issue:10967", + "issue:11144", + "issue:11307", + "issue:11437", + "issue:11687", + "issue:12157", + "issue:12645", + "issue:1407", + "issue:1704", + "issue:2616", + "issue:2644", + "issue:2646", + "issue:2661", + "issue:2662", + "issue:2783", + "issue:2843", + "issue:3279", + "issue:3350", + "issue:3379", + "issue:3406", + "issue:3418", + "issue:3454", + "issue:3698", + "issue:4229", + "issue:460", + "issue:4727", + "issue:5043", + "issue:5062", + "issue:5368", + "issue:5395", + "issue:6250", + "issue:6321", + "issue:6858", + "issue:6879", + "issue:6958", + "issue:8594", + "issue:8837", + "issue:8880", + "issue:905", + "issue:9109", + "issue:9138", + "issue:9227", + "issue:9291", + "issue:9361", + "issue:9558" + ], + "soft_pairs": [ + "issue:2783|issue:3698", + "issue:2646|issue:6250", + "issue:10767|issue:10967", + "issue:2616|issue:2843", + "issue:3379|issue:6321", + "issue:5368|issue:6879", + "issue:11307|issue:9227", + "issue:2644|issue:3454", + "issue:5395|issue:8837", + "issue:10658|issue:11687", + "issue:11437|issue:9558", + "issue:1407|issue:460", + "issue:1704|issue:5062", + "issue:2661|issue:3279", + "issue:2662|issue:3279", + "issue:3406|issue:6958", + "issue:3418|issue:5043", + "issue:3698|issue:905", + "issue:6858|issue:9138", + "issue:12157|issue:12645", + "issue:9291|issue:9361", + "issue:10470|issue:8880", + "issue:4229|issue:8594", + "issue:11144|issue:9109", + "issue:3350|issue:4727" + ], + "prepared_review_unit_hash": "14a74fe978447b3c79da5800d15b1d7ceffca52f2e1c2573f86f660c96bd8d22", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33857, + "estimated_input_tokens": 8465, + "estimated_eval_tokens": 17186 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the pairs only share superficial wording (training, checkpointing, Flux, dtype, etc.) but point to different code paths, models, and feature requests. I rejected all soft edges and treated them as non-duplicates.", + "confidence": 0.9, + "canonical_issue_reason": "Issue 6858 is the clearest standalone bug report in the set: it has a specific training failure, an explicit traceback, and enough context to triage. The rest of the cluster mixes unrelated questions, feature requests, and different failures.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6858 is the most actionable issue to keep as the cluster representative because it describes a concrete, reproducible defect rather than a broad request or a vague question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2783", + "right": "issue:3698", + "accept": false, + "reason": "Different requests: create an img2img/inpainting controlnet pipeline vs convert an inpainting model to diffusers." + }, + { + "left": "issue:2646", + "right": "issue:6250", + "accept": false, + "reason": "Both are VAE-related, but one is a tiled-VAE IndexError and the other is an SDXL single-file loading KeyError." + }, + { + "left": "issue:10767", + "right": "issue:10967", + "accept": false, + "reason": "Different model integration requests: FlashVideo/Diffusers vs LaVie/Cinemo integration." + }, + { + "left": "issue:2616", + "right": "issue:2843", + "accept": false, + "reason": "Different checkpoint/save paths: save_attn_procs NoneType.replace error vs multi-GPU checkpoint saving request." + }, + { + "left": "issue:3379", + "right": "issue:6321", + "accept": false, + "reason": "Unrelated failures: intermediate checkpoint loading vs CLIP model detection." + }, + { + "left": "issue:5368", + "right": "issue:6879", + "accept": false, + "reason": "Both are dtype mismatch errors, but they affect different workflows and code paths; not the same bug." + }, + { + "left": "issue:11307", + "right": "issue:9227", + "accept": false, + "reason": "Different problems: group offloading at block level vs Flux Dreambooth training on FLUX.1-dev." + }, + { + "left": "issue:2644", + "right": "issue:3454", + "accept": false, + "reason": "One is a multi-GPU support question and the other is a training script compatibility break on latest versions." + }, + { + "left": "issue:5395", + "right": "issue:8837", + "accept": false, + "reason": "Different subsystems: PEFT LoRA merging bug vs SlicedAttnProcessor bug." + }, + { + "left": "issue:10658", + "right": "issue:11687", + "accept": false, + "reason": "Different artifacts entirely: API feature request for onnxruntime vs docs addition for pruna." + }, + { + "left": "issue:11437", + "right": "issue:9558", + "accept": false, + "reason": "Both concern training/validation output, but one is missing files and the other is black TensorBoard images." + }, + { + "left": "issue:1407", + "right": "issue:460", + "accept": false, + "reason": "Different ONNX issues: feature_extractor validation error vs cpu onnxruntime dependency selection." + }, + { + "left": "issue:1704", + "right": "issue:5062", + "accept": false, + "reason": "A general attention-block question is not the same as a specific typo fix in attention code." + }, + { + "left": "issue:2661", + "right": "issue:3279", + "accept": false, + "reason": "Checkpoint save write error and checkpoint resume error are related only broadly; they are different failure modes." + }, + { + "left": "issue:2662", + "right": "issue:3279", + "accept": false, + "reason": "Same as above: save-time write error vs resume-from-checkpoint error are not the same underlying bug." + }, + { + "left": "issue:3406", + "right": "issue:6958", + "accept": false, + "reason": "Different model/code-path bugs: only_cross_attention behavior vs missing use_linear_projection in the motion UNet mid block." + }, + { + "left": "issue:3418", + "right": "issue:5043", + "accept": false, + "reason": "One requests adding text-encoder support to a training script, the other requests LoRA finetuning for W\u00fcrstchen." + }, + { + "left": "issue:3698", + "right": "issue:905", + "accept": false, + "reason": "Both mention inpainting, but one is model conversion and the other is a community img2img/inpainting pipeline request." + }, + { + "left": "issue:6858", + "right": "issue:9138", + "accept": false, + "reason": "Different errors: controlnet training hits a string/convert AttributeError, while this is a generic int-vs-str comparison TypeError." + }, + { + "left": "issue:12157", + "right": "issue:12645", + "accept": false, + "reason": "Unrelated Flux/Qwen-Image reports: one is a quantization-config runtime error, the other is an inference speed comparison." + }, + { + "left": "issue:9291", + "right": "issue:9361", + "accept": false, + "reason": "Both are Flux LoRA issues, but one is key compatibility and the other is no visible LoRA effect at inference." + }, + { + "left": "issue:10470", + "right": "issue:8880", + "accept": false, + "reason": "Different scope: torchao inference failure vs a version-regression inference speed slowdown." + }, + { + "left": "issue:4229", + "right": "issue:8594", + "accept": false, + "reason": "Different scripts and failures: multi-GPU accelerated training error vs tokenizer_one referenced before assignment in SD3 LoRA training." + }, + { + "left": "issue:11144", + "right": "issue:9109", + "accept": false, + "reason": "Completely different bugs: FlaxUNet dtype initialization vs missing torchvision::nms operator." + }, + { + "left": "issue:3350", + "right": "issue:4727", + "accept": false, + "reason": "Unrelated issues: animov-512x runtime errors vs local_files_only breaking auto pipelines." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 251, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10003", + "issue:10194", + "issue:10520", + "issue:1064", + "issue:10869", + "issue:11104", + "issue:11135", + "issue:12656", + "issue:1543", + "issue:1642", + "issue:1866", + "issue:2052", + "issue:2068", + "issue:2310", + "issue:2392", + "issue:2661", + "issue:2662", + "issue:2772", + "issue:2786", + "issue:3089", + "issue:3112", + "issue:3348", + "issue:337", + "issue:3951", + "issue:3984", + "issue:4086", + "issue:4403", + "issue:444", + "issue:4841", + "issue:4975", + "issue:5000", + "issue:5062", + "issue:5325", + "issue:5395", + "issue:5824", + "issue:5884", + "issue:7136", + "issue:756", + "issue:7695", + "issue:7735", + "issue:775", + "issue:7773", + "issue:8414", + "issue:8469", + "issue:8644", + "issue:8850", + "issue:929", + "issue:9599" + ], + "soft_pairs": [ + "issue:10520|issue:10869", + "issue:2310|issue:3112", + "issue:8469|issue:8850", + "issue:1543|issue:775", + "issue:1064|issue:3951", + "issue:2786|issue:3348", + "issue:2068|issue:4975", + "issue:2052|issue:2661", + "issue:2052|issue:2662", + "issue:10194|issue:9599", + "issue:3984|issue:756", + "issue:4403|issue:7695", + "issue:4841|issue:7773", + "issue:5062|issue:929", + "issue:5884|issue:7136", + "issue:11104|issue:8644", + "issue:2772|issue:2786", + "issue:10003|issue:12656", + "issue:5000|issue:5395", + "issue:5824|issue:7735", + "issue:2392|issue:5325", + "issue:11135|issue:8414", + "issue:1642|issue:3089", + "issue:1866|issue:337", + "issue:4086|issue:444" + ], + "prepared_review_unit_hash": "55b3855ffa2c2494e66686f1f50d4e1aecc1033e8fe5411781d40566383e7d29", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34160, + "estimated_input_tokens": 8540, + "estimated_eval_tokens": 17336 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No candidate pair looks like a true duplicate: the titles only overlap superficially (mostly shared diffusion/model terminology) but refer to different pipelines, models, symptoms, or feature requests.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10520", + "right": "issue:10869", + "accept": false, + "reason": "Both involve tensor/device-related failures, but one is a cuda:0 vs cpu mismatch in Sana 4K and the other is a meta-tensor .item() error; different root cause." + }, + { + "left": "issue:2310", + "right": "issue:3112", + "accept": false, + "reason": "Different features: LDM inpainting/LaMA cleaner vs multi-ControlNet inpainting." + }, + { + "left": "issue:8469", + "right": "issue:8850", + "accept": false, + "reason": "IP-Adapter face corruption is unrelated to the community pipelines mirror being broken." + }, + { + "left": "issue:1543", + "right": "issue:775", + "accept": false, + "reason": "textual_inversion revision handling is not the same as a general fp16/autocast problem." + }, + { + "left": "issue:1064", + "right": "issue:3951", + "accept": false, + "reason": "Scheduler add_noise error and UniDiffuser NaNs are different bugs in different code paths." + }, + { + "left": "issue:2786", + "right": "issue:3348", + "accept": false, + "reason": "Depth2Img numpy/transformers compatibility is unrelated to LoRA scale support with xformers." + }, + { + "left": "issue:2068", + "right": "issue:4975", + "accept": false, + "reason": "One reports from_pretrained dtype not converting the model; the other reports inefficient LoRA loading from repeated dtype queries." + }, + { + "left": "issue:2052", + "right": "issue:2661", + "accept": false, + "reason": "Checkpoint resume failure is distinct from checkpoint saving write errors." + }, + { + "left": "issue:2052", + "right": "issue:2662", + "accept": false, + "reason": "Resume-from-checkpoint and checkpoint-writing failures are different problems." + }, + { + "left": "issue:10194", + "right": "issue:9599", + "accept": false, + "reason": "Flux attention masking support is a feature request; FLUX LoRA-only finetune example is documentation/example related." + }, + { + "left": "issue:3984", + "right": "issue:756", + "accept": false, + "reason": "Class-label validation in a model config is unrelated to the tensor_format deprecation error." + }, + { + "left": "issue:4403", + "right": "issue:7695", + "accept": false, + "reason": "Half-precision LayerNorm failure and ignored ip_adapter_masks are different attention/runtime issues." + }, + { + "left": "issue:4841", + "right": "issue:7773", + "accept": false, + "reason": "ControlNet image-size handling is unrelated to Stable Video Diffusion batch-size behavior." + }, + { + "left": "issue:5062", + "right": "issue:929", + "accept": false, + "reason": "Attention processor typo and redundant sqrt computation are separate attention-block issues." + }, + { + "left": "issue:5884", + "right": "issue:7136", + "accept": false, + "reason": "IP-Adapter support across pipelines and callback_on_step_end for LDM3D are different feature additions." + }, + { + "left": "issue:11104", + "right": "issue:8644", + "accept": false, + "reason": "Both mention offload behavior, but they affect different models and failures: LTX-Video offload methods vs SD3 T5 encoder meta-tensor error." + }, + { + "left": "issue:2772", + "right": "issue:2786", + "accept": false, + "reason": "Training script local-dataset handling is unrelated to depth2img numpy input compatibility." + }, + { + "left": "issue:10003", + "right": "issue:12656", + "accept": false, + "reason": "DDIM/DDPM 1000-step scheduler bug and AuraFlow positional-embedding OOB are different model failures." + }, + { + "left": "issue:5000", + "right": "issue:5395", + "accept": false, + "reason": "LoRA fuse/unfuse regression is not the same as combining civitai LoRAs with PEFT." + }, + { + "left": "issue:5824", + "right": "issue:7735", + "accept": false, + "reason": "SDXL add_time_ids default issue and missing caption_column in training are unrelated." + }, + { + "left": "issue:2392", + "right": "issue:5325", + "accept": false, + "reason": "img2img prompt_embeds validation bug is unrelated to packaging type information distribution." + }, + { + "left": "issue:11135", + "right": "issue:8414", + "accept": false, + "reason": "These are separate new-model/pipeline proposals for different methods and tasks." + }, + { + "left": "issue:1642", + "right": "issue:3089", + "accept": false, + "reason": "ScoreSdeVeScheduler missing forward pass and DDPM scheduler bug are different scheduler issues." + }, + { + "left": "issue:1866", + "right": "issue:337", + "accept": false, + "reason": "DPMSolverSinglestepScheduler strength handling is different from img2img/text-guided inpainting issues." + }, + { + "left": "issue:4086", + "right": "issue:444", + "accept": false, + "reason": "ControlNet training on SDXL base and num_inference_steps IndexError are unrelated bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 252, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10025", + "issue:10054", + "issue:10303", + "issue:10412", + "issue:10675", + "issue:1076", + "issue:11148", + "issue:1305", + "issue:1398", + "issue:1524", + "issue:1734", + "issue:1805", + "issue:2984", + "issue:3043", + "issue:319", + "issue:3284", + "issue:3391", + "issue:3418", + "issue:3748", + "issue:3788", + "issue:4213", + "issue:4337", + "issue:4438", + "issue:4557", + "issue:4665", + "issue:4753", + "issue:4868", + "issue:5046", + "issue:5054", + "issue:5510", + "issue:5570", + "issue:5798", + "issue:6008", + "issue:6079", + "issue:6452", + "issue:6486", + "issue:660", + "issue:6783", + "issue:6967", + "issue:7370", + "issue:7460", + "issue:760", + "issue:8534", + "issue:9106", + "issue:9166", + "issue:9460", + "issue:9974" + ], + "soft_pairs": [ + "issue:4213|issue:6783", + "issue:1398|issue:760", + "issue:1524|issue:4753", + "issue:4337|issue:4665", + "issue:4557|issue:9106", + "issue:5510|issue:6079", + "issue:6486|issue:8534", + "issue:10412|issue:6967", + "issue:5798|issue:9166", + "issue:1734|issue:3284", + "issue:10025|issue:10675", + "issue:1076|issue:319", + "issue:11148|issue:9460", + "issue:2984|issue:7370", + "issue:3418|issue:6452", + "issue:3748|issue:660", + "issue:3788|issue:7370", + "issue:4438|issue:5054", + "issue:10303|issue:7460", + "issue:1305|issue:5046", + "issue:1805|issue:3043", + "issue:3391|issue:4868", + "issue:5570|issue:6008", + "issue:10054|issue:9974" + ], + "prepared_review_unit_hash": "c796d8186b63ac3cdc91ced2865d99d0b0bb3ee429ffe91ec194bbfb646ec019", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33335, + "estimated_input_tokens": 8334, + "estimated_eval_tokens": 16924 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated issues across Flux, SDXL, DreamBooth, ControlNet, PEFT, MPS, and feature requests. All proposed soft pairs are weak lexical matches only and should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue is canonical here; the items are heterogeneous and do not share one underlying bug or request.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative for duplicate triage because the cluster spans many distinct code paths and product areas.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4213", + "right": "issue:6783", + "accept": false, + "reason": "Different problems: SDXL from_single_file/accelerate loading vs PixArt-XL-2 corrupted generations." + }, + { + "left": "issue:1398", + "right": "issue:760", + "accept": false, + "reason": "Both mention MPS, but one is SD2 on Apple Silicon and the other is a StableDiffusionPipeline output issue in an older version." + }, + { + "left": "issue:1524", + "right": "issue:4753", + "accept": false, + "reason": "Different training scripts and failures: textual inversion quality vs train_dreambooth_lora.py behavior." + }, + { + "left": "issue:4337", + "right": "issue:4665", + "accept": false, + "reason": "Unrelated code paths: torch.compile with ControlNetReference vs Windows safetensors/bin-file selection." + }, + { + "left": "issue:4557", + "right": "issue:9106", + "accept": false, + "reason": "Both are attribute errors, but the affected classes and failure points are different and not clearly the same bug." + }, + { + "left": "issue:5510", + "right": "issue:6079", + "accept": false, + "reason": "Similar dtype wording, but one is an SDXL InstructPix2Pix runtime mismatch and the other is a generic half/float scalar-type error." + }, + { + "left": "issue:6486", + "right": "issue:8534", + "accept": false, + "reason": "Different DreamBooth training bugs: embedding retraction twice vs SD3 logit-normal weighting." + }, + { + "left": "issue:10412", + "right": "issue:6967", + "accept": false, + "reason": "Both are training-related, but one is VRAM usage and the other is a shape-mismatch with prior preservation." + }, + { + "left": "issue:5798", + "right": "issue:9166", + "accept": false, + "reason": "ControlNet callback kwarg error vs image_processor.overlay behavior; no same concrete bug." + }, + { + "left": "issue:1734", + "right": "issue:3284", + "accept": false, + "reason": "Both involve DreamBooth + accelerate, but one is multi-GPU slowness and the other is a script failure." + }, + { + "left": "issue:10025", + "right": "issue:10675", + "accept": false, + "reason": "Same Flux umbrella only; attention-mask handling and scheduler max_shift configuration are different defects." + }, + { + "left": "issue:1076", + "right": "issue:319", + "accept": false, + "reason": "Completely unrelated models and topics; no shared underlying issue." + }, + { + "left": "issue:11148", + "right": "issue:9460", + "accept": false, + "reason": "PEFT adapter state bug vs SD3 ControlNet model-list assignment; different components and fixes." + }, + { + "left": "issue:2984", + "right": "issue:7370", + "accept": false, + "reason": "Different feature requests for different video/text generation models; not the same change." + }, + { + "left": "issue:3418", + "right": "issue:6452", + "accept": false, + "reason": "Different training/API changes: LoRA text-encoder support vs adding masked_image_latents to ControlNet inpaint." + }, + { + "left": "issue:3748", + "right": "issue:660", + "accept": false, + "reason": "Both concern dtype/device quirks, but one is LoRA safetensor loading and the other is MPS fp16 inference." + }, + { + "left": "issue:3788", + "right": "issue:7370", + "accept": false, + "reason": "Both are new-model support requests, but for different architectures and pipelines." + }, + { + "left": "issue:4438", + "right": "issue:5054", + "accept": false, + "reason": "Both touch SDXL errors, but the missing hook and the pipeline error are different failure modes." + }, + { + "left": "issue:10303", + "right": "issue:7460", + "accept": false, + "reason": "Different internal tensor bugs in different modules: attention permutation vs AdaLayerNorm." + }, + { + "left": "issue:1305", + "right": "issue:5046", + "accept": false, + "reason": "Separate paper/addition requests for different methods; not the same underlying feature." + }, + { + "left": "issue:1805", + "right": "issue:3043", + "accept": false, + "reason": "Both are feature requests, but for different pipelines/models and no shared concrete implementation." + }, + { + "left": "issue:3391", + "right": "issue:4868", + "accept": false, + "reason": "Different symptoms and code paths: DeepFloyd overexposure vs super().__getattr__ AttributeError." + }, + { + "left": "issue:5570", + "right": "issue:6008", + "accept": false, + "reason": "Missing training utility in package vs IP-Adapter/LCM LoRA failure; unrelated bugs." + }, + { + "left": "issue:10054", + "right": "issue:9974", + "accept": false, + "reason": "Different scheduler/config issues: torch.linspace parameter passing vs SD3 ControlNet expected parameters." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 253, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10382", + "issue:10659", + "issue:10674", + "issue:1106", + "issue:11398", + "issue:11627", + "issue:11642", + "issue:12299", + "issue:12895", + "issue:1310", + "issue:1405", + "issue:1990", + "issue:2068", + "issue:2331", + "issue:2459", + "issue:2532", + "issue:2579", + "issue:2695", + "issue:2712", + "issue:3043", + "issue:3113", + "issue:3861", + "issue:389", + "issue:3958", + "issue:4219", + "issue:4542", + "issue:4551", + "issue:462", + "issue:4933", + "issue:5607", + "issue:5743", + "issue:5897", + "issue:6584", + "issue:6793", + "issue:6809", + "issue:7276", + "issue:7492", + "issue:7497", + "issue:7562", + "issue:7686", + "issue:801", + "issue:9164", + "issue:9358", + "issue:9443", + "issue:954", + "issue:9548", + "issue:9822" + ], + "soft_pairs": [ + "issue:1310|issue:1990", + "issue:2331|issue:3043", + "issue:3113|issue:7497", + "issue:12299|issue:9443", + "issue:4542|issue:6809", + "issue:7276|issue:9548", + "issue:4933|issue:954", + "issue:9164|issue:9358", + "issue:1106|issue:2459", + "issue:2532|issue:2579", + "issue:389|issue:462", + "issue:4551|issue:5743", + "issue:10659|issue:10674", + "issue:11398|issue:11642", + "issue:2068|issue:3861", + "issue:1405|issue:801", + "issue:5897|issue:7492", + "issue:4219|issue:6584", + "issue:11627|issue:12895", + "issue:5607|issue:7686", + "issue:10382|issue:6793", + "issue:2695|issue:2712", + "issue:3958|issue:7562", + "issue:10010|issue:9822" + ], + "prepared_review_unit_hash": "3c8e9cd34938d2e690deffc86f945dd6c2629016b7a6aa891919cb02a831edbc", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34025, + "estimated_input_tokens": 8507, + "estimated_eval_tokens": 17270 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a set of unrelated issue pairs that only share broad subsystem names or keywords. I accept just one soft duplicate around `enable_attention_slicing`, where one issue is the broader report and the other is a narrower pipeline-specific manifestation.", + "confidence": 0.82, + "canonical_issue_reason": "`issue:1405` is the best canonical issue because it is the broader, clearer report of the underlying `enable_attention_slicing()` regression; `issue:801` reads like a narrower variant of the same bug.", + "canonical_pr_reason": null, + "best_issue_reason": "`issue:1405` is the strongest issue to anchor the cluster: it states the problem directly, names the failing API, and generalizes beyond a single pipeline.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1310", + "right": "issue:1990", + "accept": false, + "reason": "One is a runtime bug report, the other is a pipeline proposal; they are not the same change or failure." + }, + { + "left": "issue:2331", + "right": "issue:3043", + "accept": false, + "reason": "Both are feature requests, but for different pipelines/features and not the same underlying work." + }, + { + "left": "issue:3113", + "right": "issue:7497", + "accept": false, + "reason": "These are different layout/control feature requests with no clear shared code-path bug." + }, + { + "left": "issue:12299", + "right": "issue:9443", + "accept": false, + "reason": "Different SD3 failures: tensor shape mismatch versus tokenizer instantiation error." + }, + { + "left": "issue:4542", + "right": "issue:6809", + "accept": false, + "reason": "Img2Img image-count bug and LoRA adapter loading regression are unrelated issues." + }, + { + "left": "issue:7276", + "right": "issue:9548", + "accept": false, + "reason": "Both mention Dreambooth, but one is a network/download problem and the other is a Flux LoRA training issue." + }, + { + "left": "issue:4933", + "right": "issue:954", + "accept": false, + "reason": "Training output export failure and login/loading failure are not the same bug." + }, + { + "left": "issue:9164", + "right": "issue:9358", + "accept": false, + "reason": "Same training script area, but convergence failure and redundant text-encoder reinitialization are different problems." + }, + { + "left": "issue:1106", + "right": "issue:2459", + "accept": false, + "reason": "PNDM UNet call behavior and xFormers training-script issue are unrelated." + }, + { + "left": "issue:2532", + "right": "issue:2579", + "accept": false, + "reason": "Panorama `get_views` bug and xFormers misuse/bug are different code paths." + }, + { + "left": "issue:389", + "right": "issue:462", + "accept": false, + "reason": "These are unrelated pipeline/docs problems, not the same defect." + }, + { + "left": "issue:4551", + "right": "issue:5743", + "accept": false, + "reason": "Dreambooth crash on SDXL and LCM training stuck at 0% are different failures." + }, + { + "left": "issue:10659", + "right": "issue:10674", + "accept": false, + "reason": "Different pipelines/models with different failures; no shared concrete bug." + }, + { + "left": "issue:11398", + "right": "issue:11642", + "accept": false, + "reason": "Both are Flux-related, but one is a missing config/attention-processor issue and the other is a prompt scaling behavior bug." + }, + { + "left": "issue:2068", + "right": "issue:3861", + "accept": false, + "reason": "These discuss `from_pretrained`, but the reported problems are different and not duplicates." + }, + { + "left": "issue:1405", + "right": "issue:801", + "accept": true, + "reason": "Both report `enable_attention_slicing()` not working, with `801` being a narrower inpainting/img2img manifestation of the same regression." + }, + { + "left": "issue:5897", + "right": "issue:7492", + "accept": false, + "reason": "Device-mismatch training error and repository-not-found loading error are unrelated." + }, + { + "left": "issue:4219", + "right": "issue:6584", + "accept": false, + "reason": "Both concern conversion, but they target different model families and different concrete conversion tasks." + }, + { + "left": "issue:11627", + "right": "issue:12895", + "accept": false, + "reason": "Different SD3/Flux pipeline crashes with different symptoms and code paths." + }, + { + "left": "issue:5607", + "right": "issue:7686", + "accept": false, + "reason": "Tensor size mismatch and `cross_attention_dim` config validation are unrelated." + }, + { + "left": "issue:10382", + "right": "issue:6793", + "accept": false, + "reason": "VAE forward return-type mismatch and hydra serialization failure are different bugs." + }, + { + "left": "issue:2695", + "right": "issue:2712", + "accept": false, + "reason": "ControlNet validation/TensorBoard issue and missing `norm_num_groups` config warning are not the same problem." + }, + { + "left": "issue:3958", + "right": "issue:7562", + "accept": false, + "reason": "Both mention CPU offload, but the failing contexts and bugs differ significantly." + }, + { + "left": "issue:10010", + "right": "issue:9822", + "accept": false, + "reason": "A missing FLUX Fill model file and loading SDXL LoRAs into Flux are distinct issues." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The canonical choice of issue:1405 over issue:801 is supported by the titles, and the lone accepted soft duplicate is a plausible narrower manifestation of the same `enable_attention_slicing()` regression. The remaining soft-edge rejections read appropriately cautious and do not overstate duplication." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 254, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10112", + "issue:10752", + "issue:10855", + "issue:10897", + "issue:1106", + "issue:11220", + "issue:1188", + "issue:12071", + "issue:12149", + "issue:1298", + "issue:13034", + "issue:1675", + "issue:176", + "issue:1949", + "issue:2153", + "issue:2163", + "issue:2377", + "issue:2661", + "issue:2662", + "issue:2800", + "issue:2856", + "issue:3112", + "issue:3296", + "issue:338", + "issue:339", + "issue:3565", + "issue:4042", + "issue:4052", + "issue:4069", + "issue:4125", + "issue:4303", + "issue:4542", + "issue:477", + "issue:5374", + "issue:5405", + "issue:6113", + "issue:6157", + "issue:6288", + "issue:6463", + "issue:7428", + "issue:7802", + "issue:8236", + "issue:8589", + "issue:8708", + "issue:8801", + "issue:8837", + "issue:9092" + ], + "soft_pairs": [ + "issue:10112|issue:7428", + "issue:10752|issue:13034", + "issue:10855|issue:12071", + "issue:10897|issue:8801", + "issue:1106|issue:2163", + "issue:11220|issue:12149", + "issue:1188|issue:2800", + "issue:1298|issue:4542", + "issue:1675|issue:5374", + "issue:176|issue:4069", + "issue:1949|issue:4303", + "issue:2153|issue:477", + "issue:2377|issue:338", + "issue:2377|issue:339", + "issue:2856|issue:6113", + "issue:3112|issue:4042", + "issue:3565|issue:8236", + "issue:4052|issue:5405", + "issue:4125|issue:6288", + "issue:6157|issue:9092", + "issue:6463|issue:8708", + "issue:7428|issue:7802", + "issue:8589|issue:8837", + "issue:2661|issue:3296", + "issue:2662|issue:3296" + ], + "prepared_review_unit_hash": "c01f336d71eaf0f6e3cb4171a15f449d30678abd91ce6a58cff74dc58f171f26", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33147, + "estimated_input_tokens": 8287, + "estimated_eval_tokens": 16830 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These issues span many unrelated diffusers bugs/features across training, pipelines, docs, and model support. None of the soft pairs look like the same concrete bug or change, so there is no clear canonical duplicate in this set.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10112", + "right": "issue:7428", + "accept": false, + "reason": "Different feature requests in the same library; Detail-Daemon vs layer diffusion are unrelated changes." + }, + { + "left": "issue:10752", + "right": "issue:13034", + "accept": false, + "reason": "FP16 unscale/optimizer bug versus WanPipeline dimension handling; no shared code-path problem." + }, + { + "left": "issue:10855", + "right": "issue:12071", + "accept": false, + "reason": "Gradient accumulation stepping bug is unrelated to Flux Kontex transformer forward behavior." + }, + { + "left": "issue:10897", + "right": "issue:8801", + "accept": false, + "reason": "Both are model support requests, but for different models and different integration work." + }, + { + "left": "issue:1106", + "right": "issue:2163", + "accept": false, + "reason": "PNDM UNet call repetition is a scheduler/inference bug, while the other is a training dtype mismatch." + }, + { + "left": "issue:11220", + "right": "issue:12149", + "accept": false, + "reason": "Documentation page issue versus package/source version mismatch; not the same underlying bug." + }, + { + "left": "issue:1188", + "right": "issue:2800", + "accept": false, + "reason": "Different pipeline requests: CLIPSeg+SD versus DiffEdit semantic editing." + }, + { + "left": "issue:1298", + "right": "issue:4542", + "accept": false, + "reason": "Broken img2img on MPS versus SDXL img2img output-count limitation; distinct failures." + }, + { + "left": "issue:1675", + "right": "issue:5374", + "accept": false, + "reason": "Conversion script state-dict error and unexpected checkpoint_path argument are different problems." + }, + { + "left": "issue:176", + "right": "issue:4069", + "accept": false, + "reason": "Missing Glide pipeline is unrelated to textual inversion unloading behavior." + }, + { + "left": "issue:1949", + "right": "issue:4303", + "accept": false, + "reason": "DreamBooth tutorial training errors do not match a Flax SDXL load crash." + }, + { + "left": "issue:2153", + "right": "issue:477", + "accept": false, + "reason": "Float16/GTX 1660 compatibility issue is unrelated to the PNDM off-by-one scheduler bug." + }, + { + "left": "issue:2377", + "right": "issue:338", + "accept": false, + "reason": "Both are test requests, but for different components (EMAModel vs LMS Discrete)." + }, + { + "left": "issue:2377", + "right": "issue:339", + "accept": false, + "reason": "Both are test requests, but for different scheduler behaviors and files." + }, + { + "left": "issue:2856", + "right": "issue:6113", + "accept": false, + "reason": "Model conversion failure versus how-to-use guidance for a control repo; not the same issue." + }, + { + "left": "issue:3112", + "right": "issue:4042", + "accept": false, + "reason": "Both mention composition of control/inpainting features, but they ask for different pipeline combinations." + }, + { + "left": "issue:3565", + "right": "issue:8236", + "accept": false, + "reason": "CUDA OOM in training setup is unrelated to wrong LR scheduler step counting." + }, + { + "left": "issue:4052", + "right": "issue:5405", + "accept": false, + "reason": "Missing from_single_file API and SDXL weight-overwrite behavior are related by API name only, not the same bug." + }, + { + "left": "issue:4125", + "right": "issue:6288", + "accept": false, + "reason": "Different LoRA training questions with different hyperparameter concerns." + }, + { + "left": "issue:6157", + "right": "issue:9092", + "accept": false, + "reason": "IP-Adapter/controlnet behavior is unrelated to Flux model_index.json loading failure." + }, + { + "left": "issue:6463", + "right": "issue:8708", + "accept": false, + "reason": "Missing audio_diffusion pipeline is unrelated to SD3 DreamBooth shift_factor docs/training issue." + }, + { + "left": "issue:7428", + "right": "issue:7802", + "accept": false, + "reason": "Both are feature requests, but for unrelated additions (layer diffusion vs OLSS scheduler)." + }, + { + "left": "issue:8589", + "right": "issue:8837", + "accept": false, + "reason": "DreamBooth prior-preservation bug is unrelated to a SlicedAttnProcessor bug." + }, + { + "left": "issue:2661", + "right": "issue:3296", + "accept": false, + "reason": "Both involve checkpointing, but one is a write error at specific steps and the other is a broader save/load issue with text_encoder; not the same concrete bug." + }, + { + "left": "issue:2662", + "right": "issue:3296", + "accept": false, + "reason": "Checkpoint write error and checkpoint save/load with text_encoder are similar areas but different failure modes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 255, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1037", + "issue:10518", + "issue:10767", + "issue:1109", + "issue:11148", + "issue:11410", + "issue:11945", + "issue:1195", + "issue:1323", + "issue:13279", + "issue:1519", + "issue:1541", + "issue:1611", + "issue:1674", + "issue:1811", + "issue:2769", + "issue:3064", + "issue:3116", + "issue:3428", + "issue:351", + "issue:3566", + "issue:3767", + "issue:4134", + "issue:4376", + "issue:4414", + "issue:4478", + "issue:4593", + "issue:460", + "issue:4880", + "issue:5043", + "issue:5372", + "issue:5414", + "issue:5761", + "issue:5798", + "issue:5857", + "issue:6068", + "issue:6090", + "issue:6091", + "issue:6548", + "issue:6749", + "issue:7619", + "issue:7872", + "issue:7895", + "issue:7972", + "issue:8671", + "issue:9551", + "issue:9895" + ], + "soft_pairs": [ + "issue:3428|issue:3566", + "issue:4880|issue:5798", + "issue:11945|issue:9895", + "issue:1109|issue:460", + "issue:4414|issue:5761", + "issue:11410|issue:7872", + "issue:1541|issue:3767", + "issue:11148|issue:13279", + "issue:3116|issue:6068", + "issue:6090|issue:7619", + "issue:1195|issue:1611", + "issue:1519|issue:4134", + "issue:1323|issue:1674", + "issue:4376|issue:5372", + "issue:10767|issue:9551", + "issue:1811|issue:3064", + "issue:2769|issue:351", + "issue:4414|issue:6091", + "issue:5414|issue:7895", + "issue:5857|issue:6548", + "issue:4478|issue:7972", + "issue:4593|issue:6749", + "issue:1037|issue:5043", + "issue:10518|issue:8671" + ], + "prepared_review_unit_hash": "f3a85132755bc8a8f3303901511a34d06fd50a1688ac71692217a32b125e922f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33677, + "estimated_input_tokens": 8420, + "estimated_eval_tokens": 17096 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These issues are mostly unrelated one-off bug reports across different pipelines, schedulers, PEFT/Flax paths, and model families. None of the proposed soft pairs look like the same underlying bug or change, so I would reject all of them and not force a single canonical duplicate representative.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:11148 is the most concrete and well-scoped bug report in the set, with a specific PEFT adapter state failure and clear behavioral impact; still, it is not a duplicate of the others.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3428", + "right": "issue:3566", + "accept": false, + "reason": "Different problems: img2img pipeline behavior change vs controlnet_reference community pipeline results." + }, + { + "left": "issue:4880", + "right": "issue:5798", + "accept": false, + "reason": "Different failure modes: ControlNet image type validation vs callback_on_step_end keyword support." + }, + { + "left": "issue:11945", + "right": "issue:9895", + "accept": false, + "reason": "Different runtime errors and code paths: PyTorch/CUDA floating point exception vs FluxPipeline device mismatch." + }, + { + "left": "issue:1109", + "right": "issue:460", + "accept": false, + "reason": "CPU core utilization issue is unrelated to ONNX CUDA/CPU runtime selection." + }, + { + "left": "issue:4414", + "right": "issue:5761", + "accept": false, + "reason": "Consistency Model sample request is not the same as decoder cost/performance discussion." + }, + { + "left": "issue:11410", + "right": "issue:7872", + "accept": false, + "reason": "Attention processor unpacking error is unrelated to a generic version/package issue." + }, + { + "left": "issue:1541", + "right": "issue:3767", + "accept": false, + "reason": "Dreambooth CKPT loading/model-type detection is unrelated to FrozenDict mutability." + }, + { + "left": "issue:11148", + "right": "issue:13279", + "accept": false, + "reason": "PEFT adapter flag handling is unrelated to AutoencoderRAE loading with older transformers." + }, + { + "left": "issue:3116", + "right": "issue:6068", + "accept": false, + "reason": "Different schedulers and symptoms: KDPM2Discrete img2img noise vs DDIM SDXL sample correctness." + }, + { + "left": "issue:6090", + "right": "issue:7619", + "accept": false, + "reason": "Both mention channel errors, but they appear to be different concrete bugs and model paths." + }, + { + "left": "issue:1195", + "right": "issue:1611", + "accept": false, + "reason": "Memory-efficient attention with fp16 weights is not the same as SD1.5 mega-pipeline breakage." + }, + { + "left": "issue:1519", + "right": "issue:4134", + "accept": false, + "reason": "Apple M2 batch noise bug is different from ControlNet tensor-size mismatch on M1 Max." + }, + { + "left": "issue:1323", + "right": "issue:1674", + "accept": false, + "reason": "Flax dtype-loading issue is unrelated to Dreambooth scheduling/DPMSolver loading." + }, + { + "left": "issue:4376", + "right": "issue:5372", + "accept": false, + "reason": "Textual inversion crash in SDXL is unrelated to safety_checker usage questions." + }, + { + "left": "issue:10767", + "right": "issue:9551", + "accept": false, + "reason": "FlashVideo integration and Flux ControlNet usage are different topics, not the same bug." + }, + { + "left": "issue:1811", + "right": "issue:3064", + "accept": false, + "reason": "Weight-download selection is unrelated to loading a safetensors LoRA." + }, + { + "left": "issue:2769", + "right": "issue:351", + "accept": false, + "reason": "Model conversion corruption is unrelated to a CUDA placement/loading issue." + }, + { + "left": "issue:4414", + "right": "issue:6091", + "accept": false, + "reason": "Consistency Model sample discussion is not the same as a consistency decoder size/memory bug." + }, + { + "left": "issue:5414", + "right": "issue:7895", + "accept": false, + "reason": "PEFT set_adapters weights bug is unrelated to Flax memory-efficient attention." + }, + { + "left": "issue:5857", + "right": "issue:6548", + "accept": false, + "reason": "AnimateDiff LCM LoRA quality issue is unrelated to RGBA images being misread as latents." + }, + { + "left": "issue:4478", + "right": "issue:7972", + "accept": false, + "reason": "SDXL bias/input type mismatch is different from LEDITS++ type mismatch." + }, + { + "left": "issue:4593", + "right": "issue:6749", + "accept": false, + "reason": "Automatic1111 LoRA rank limit error is unrelated to InstantID replication issues." + }, + { + "left": "issue:1037", + "right": "issue:5043", + "accept": false, + "reason": "Stable Diffusion Telephone community pipeline request is unrelated to Wurstchen LoRA finetuning." + }, + { + "left": "issue:10518", + "right": "issue:8671", + "accept": false, + "reason": "One is a bug report about a specific SD3 LoRA colab script; the other is a code cleanup/redundancy note in a different script." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 256, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1064", + "issue:10640", + "issue:10737", + "issue:11208", + "issue:1161", + "issue:11839", + "issue:12149", + "issue:12195", + "issue:12995", + "issue:1344", + "issue:1742", + "issue:1755", + "issue:1974", + "issue:1990", + "issue:2361", + "issue:2578", + "issue:3222", + "issue:3279", + "issue:3537", + "issue:381", + "issue:4014", + "issue:4297", + "issue:435", + "issue:4534", + "issue:4932", + "issue:4957", + "issue:5008", + "issue:5064", + "issue:5079", + "issue:5124", + "issue:5162", + "issue:5465", + "issue:562", + "issue:5968", + "issue:6518", + "issue:6616", + "issue:7210", + "issue:7589", + "issue:7666", + "issue:7757", + "issue:8463", + "issue:8615", + "issue:8786", + "issue:8894", + "issue:9089", + "issue:9611", + "issue:984" + ], + "soft_pairs": [ + "issue:10640|issue:7210", + "issue:12149|issue:12195", + "issue:1344|issue:1755", + "issue:3537|issue:5968", + "issue:5008|issue:6616", + "issue:7666|issue:8786", + "issue:4014|issue:4297", + "issue:11208|issue:7589", + "issue:11839|issue:12995", + "issue:1755|issue:1990", + "issue:2361|issue:4534", + "issue:5079|issue:8615", + "issue:6518|issue:8463", + "issue:1742|issue:1974", + "issue:3222|issue:4932", + "issue:7757|issue:8894", + "issue:1064|issue:562", + "issue:2578|issue:984", + "issue:381|issue:435", + "issue:4957|issue:5064", + "issue:3279|issue:5124", + "issue:5465|issue:9611", + "issue:10737|issue:9089", + "issue:1161|issue:5162" + ], + "prepared_review_unit_hash": "d352402ff38e08871a5737d9024371840c4bbbe865edf3de45c3e424b54d9a0e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33495, + "estimated_input_tokens": 8374, + "estimated_eval_tokens": 17004 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "One clear duplicate pair stands out: the LMSDiscreteScheduler/inpainting failure reports. The rest are broad-similarity matches but not the same concrete bug or change.", + "confidence": 0.81, + "canonical_issue_reason": "Issue 562 is the broader, earlier report of the same LMSDiscreteScheduler + StableDiffusionInpaintPipeline failure, so it is the best canonical issue for the shared bug.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 562 is the clearest representative of the only strong duplicate cluster in this set and describes the underlying scheduler/inpainting problem most generally.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10640", + "right": "issue:7210", + "accept": false, + "reason": "Both are runtime errors, but they affect different paths: FluxInpaintPipeline/DataParallel vs accelerate.load_checkpoint_and_dispatch on StableDiffusionXLPipeline." + }, + { + "left": "issue:12149", + "right": "issue:12195", + "accept": false, + "reason": "One is a packaging/source mismatch report; the other is a torch.library.custom_op compatibility error in AutoencoderKL. Different bugs." + }, + { + "left": "issue:1344", + "right": "issue:1755", + "accept": false, + "reason": "No substantive overlap beyond being issues; one is a GPU limitation, the other is unrelated Arabic text." + }, + { + "left": "issue:3537", + "right": "issue:5968", + "accept": false, + "reason": "Different conversion targets and workflows: ControlNet conversion vs Text2Video/Img2Video ONNX export." + }, + { + "left": "issue:5008", + "right": "issue:6616", + "accept": false, + "reason": "A TryOnDiffusion architecture proposal is unrelated to classifier-guidance implementation." + }, + { + "left": "issue:7666", + "right": "issue:8786", + "accept": false, + "reason": "Different SDXL/custom-pipeline loading bug vs SD3 token-length behavior; not the same failure mode." + }, + { + "left": "issue:4014", + "right": "issue:4297", + "accept": false, + "reason": "Both mention artifacts/watermarks, but one is a general watermark artifact complaint and the other is a batched img2img-specific fishnet artifact issue." + }, + { + "left": "issue:11208", + "right": "issue:7589", + "accept": false, + "reason": "Different features and failures: MultiControlNet support for SD3 inpainting vs GLIGEN layout-to-image not working." + }, + { + "left": "issue:11839", + "right": "issue:12995", + "accept": false, + "reason": "FluxKontext gguf input-size loading error is unrelated to the Cosmos-Predict2.5 video generation/reconstruction question." + }, + { + "left": "issue:1755", + "right": "issue:1990", + "accept": false, + "reason": "No meaningful relation; one is a generic Arabic issue, the other is a pipeline proposal." + }, + { + "left": "issue:2361", + "right": "issue:4534", + "accept": false, + "reason": "Training checkpoint-save crash vs SDXL dreambooth validation crash on mps are different code paths and symptoms." + }, + { + "left": "issue:5079", + "right": "issue:8615", + "accept": false, + "reason": "Both are LoRA-related, but load_lora_weights support and fuse_lora support are different operations, not the same bug/change." + }, + { + "left": "issue:6518", + "right": "issue:8463", + "accept": false, + "reason": "Different NoneType errors in different scripts/pipelines: integer division in distillation vs tokenizer access in InstructP2P-SDXL." + }, + { + "left": "issue:1742", + "right": "issue:1974", + "accept": false, + "reason": "Different scheduler/reproducibility topics; prompt-list inference speed is unrelated to Euler schedulers with generator lists." + }, + { + "left": "issue:3222", + "right": "issue:4932", + "accept": false, + "reason": "Both concern missing saved files after training, but custom_diffusion weights and Dreambooth model outputs are different artifacts and likely different bugs." + }, + { + "left": "issue:7757", + "right": "issue:8894", + "accept": false, + "reason": "Different training scripts and failure modes; one is multi-GPU OOM, the other is an unconditional training error." + }, + { + "left": "issue:1064", + "right": "issue:562", + "accept": true, + "reason": "Same underlying LMSDiscreteScheduler/inpainting bug: one report says add_noise() errors, the other says StableDiffusionInpaintPipeline fails with LMSDiscreteScheduler." + }, + { + "left": "issue:2578", + "right": "issue:984", + "accept": false, + "reason": "Editable install failure is unrelated to F.interpolate breaking for large batch sizes." + }, + { + "left": "issue:381", + "right": "issue:435", + "accept": false, + "reason": "Different notebook errors with different missing attributes; no shared bug path." + }, + { + "left": "issue:4957", + "right": "issue:5064", + "accept": false, + "reason": "Both are disk-space failures, but they occur in different pipelines and likely reflect environmental exhaustion rather than one duplicate bug." + }, + { + "left": "issue:3279", + "right": "issue:5124", + "accept": false, + "reason": "Resume-from-checkpoint errors in DreamBooth LoRA are unrelated to a request for a checkpoint-to-safetensors conversion script." + }, + { + "left": "issue:5465", + "right": "issue:9611", + "accept": false, + "reason": "Different issues in different pipelines: DiffEdit inpaint_strength handling vs Flux image batching errors." + }, + { + "left": "issue:10737", + "right": "issue:9089", + "accept": false, + "reason": "One says an encoder attribute is missing in FluxPipeline; the other says FluxPipeline is not found at all." + }, + { + "left": "issue:1161", + "right": "issue:5162", + "accept": false, + "reason": "Convert Flax-trained model to PyTorch is unrelated to a checkpoint-folder-to-safetensors conversion script." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is conservative and grounded in the packet. The only accepted duplicate pair, issue 1064 vs issue 562, is plausibly the same LMSDiscreteScheduler/inpainting bug based on the titles, and the rest of the soft-edge rejections stay appropriately cautious rather than over-claiming duplicates." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 257, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10290", + "issue:10767", + "issue:10860", + "issue:10953", + "issue:11497", + "issue:11592", + "issue:1214", + "issue:12221", + "issue:12547", + "issue:1314", + "issue:1875", + "issue:1922", + "issue:2192", + "issue:2331", + "issue:2402", + "issue:3383", + "issue:3403", + "issue:3689", + "issue:3717", + "issue:3767", + "issue:3876", + "issue:4080", + "issue:4210", + "issue:4665", + "issue:4701", + "issue:4876", + "issue:4969", + "issue:4985", + "issue:514", + "issue:5284", + "issue:5558", + "issue:5646", + "issue:6112", + "issue:6149", + "issue:6164", + "issue:6277", + "issue:6452", + "issue:6598", + "issue:660", + "issue:7177", + "issue:7640", + "issue:776", + "issue:7939", + "issue:8228", + "issue:8879", + "issue:8900", + "issue:9810" + ], + "soft_pairs": [ + "issue:1314|issue:4701", + "issue:2331|issue:5284", + "issue:3689|issue:4876", + "issue:3876|issue:5558", + "issue:4969|issue:514", + "issue:4969|issue:7177", + "issue:11497|issue:12547", + "issue:5646|issue:6598", + "issue:1214|issue:3767", + "issue:1922|issue:4210", + "issue:2192|issue:6277", + "issue:3403|issue:776", + "issue:6112|issue:6149", + "issue:7939|issue:8228", + "issue:1875|issue:6164", + "issue:3717|issue:4985", + "issue:3383|issue:4665", + "issue:10290|issue:10953", + "issue:10767|issue:12221", + "issue:10860|issue:9810", + "issue:2402|issue:660", + "issue:4080|issue:6452", + "issue:7640|issue:8879", + "issue:11592|issue:8900" + ], + "prepared_review_unit_hash": "7f4eb4c38dca083476d82688f07d0ead34fbbeaed1fc436ab6be079fd6711038", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33218, + "estimated_input_tokens": 8305, + "estimated_eval_tokens": 16866 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are not true duplicates; they cover a mix of unrelated bugs, feature requests, and version-specific regressions across diffusers training, loading, ControlNet, LoRA, and pipelines. I would not merge any of the soft pairs.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue stands out because the cluster spans distinct problems rather than one underlying bug.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11497 is the strongest representative if a cluster anchor is needed: it is an open, concrete, well-scoped bug report with broader applicability than the more niche or feature-request-style items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1314", + "right": "issue:4701", + "accept": false, + "reason": "Different failures: xformers backward on Windows vs AutoencoderKL float32 CUDA differentiation error." + }, + { + "left": "issue:2331", + "right": "issue:5284", + "accept": false, + "reason": "Generic ControlNet pipeline feature request vs ControlNet-LLLite support request; related area but not the same change." + }, + { + "left": "issue:3689", + "right": "issue:4876", + "accept": false, + "reason": "LoRA unload behavior vs adding a std argument for LoRA layers; distinct issues." + }, + { + "left": "issue:3876", + "right": "issue:5558", + "accept": false, + "reason": "Single-pipeline demo error vs artifacts with multiple ControlNets; different concrete bugs." + }, + { + "left": "issue:4969", + "right": "issue:514", + "accept": false, + "reason": "ImportError for CrossAttention vs attention slicing runtime error; unrelated symptoms." + }, + { + "left": "issue:4969", + "right": "issue:7177", + "accept": false, + "reason": "CrossAttention import failure vs StableCascadeDecoderPipeline.from_pretrained error; different code paths." + }, + { + "left": "issue:11497", + "right": "issue:12547", + "accept": false, + "reason": "Dataset preprocessing cache key bug vs missing --instance_prompt argument in Dreambooth Flux Kontext I2I; unrelated." + }, + { + "left": "issue:5646", + "right": "issue:6598", + "accept": false, + "reason": "Scheduler stability comparison vs img2img nondeterminism against A1111; not the same bug." + }, + { + "left": "issue:1214", + "right": "issue:3767", + "accept": false, + "reason": "Half-precision CLIPTextModel issue vs FrozenDict immutability; no shared underlying fix." + }, + { + "left": "issue:1922", + "right": "issue:4210", + "accept": false, + "reason": "Undefined notebook helper vs question about attention_mask usage; unrelated." + }, + { + "left": "issue:2192", + "right": "issue:6277", + "accept": false, + "reason": "Missing CLI arguments in train_dreambooth_lora.py vs broken gradients in train_text_to_image_lora.py; different problems." + }, + { + "left": "issue:3403", + "right": "issue:776", + "accept": false, + "reason": "TorchDynamo pipeline loading issue vs batch_size>1 image-to-image breakage; different failure modes." + }, + { + "left": "issue:6112", + "right": "issue:6149", + "accept": false, + "reason": "Noisy SDXL-Turbo output vs ip-adapter load error; different subsystems and symptoms." + }, + { + "left": "issue:7939", + "right": "issue:8228", + "accept": false, + "reason": "Model loading from same folder vs from_single_file CLIPTextModel load failure; not the same bug." + }, + { + "left": "issue:1875", + "right": "issue:6164", + "accept": false, + "reason": "fp16 Imagic training type mismatch vs latent output handling in StableDiffusionPipeline; distinct code paths." + }, + { + "left": "issue:3717", + "right": "issue:4985", + "accept": false, + "reason": "General multi-GPU OOM vs SDXL InstructPix2Pix OOM; both OOMs but different scenarios and likely causes." + }, + { + "left": "issue:3383", + "right": "issue:4665", + "accept": false, + "reason": "Partially downloaded pipeline loading vs Windows safetensors/alt-bin file selection issue; separate loading bugs." + }, + { + "left": "issue:10290", + "right": "issue:10953", + "accept": false, + "reason": "torch.compile speed problem on Flux/ControlNet vs permute/transpose code style correction; unrelated." + }, + { + "left": "issue:10767", + "right": "issue:12221", + "accept": false, + "reason": "FlashVideo/Diffusers integration vs DiffSynth ControlNet support request; different feature areas." + }, + { + "left": "issue:10860", + "right": "issue:9810", + "accept": false, + "reason": "LoRA export/use in ComfyUI vs module_to_save() support; overlapping theme but not the same issue." + }, + { + "left": "issue:2402", + "right": "issue:660", + "accept": false, + "reason": "CUDA-not-enabled assertion vs MPS fp16 loading on Apple Silicon; entirely different environments." + }, + { + "left": "issue:4080", + "right": "issue:6452", + "accept": false, + "reason": "Request for SDXL inpainting pipeline vs adding masked_image_latents input to an existing pipeline; related but not duplicate." + }, + { + "left": "issue:7640", + "right": "issue:8879", + "accept": false, + "reason": "from_single_file dimension/runtime error vs torch.compile+cudagraph instability on SDXL; different failure modes." + }, + { + "left": "issue:11592", + "right": "issue:8900", + "accept": false, + "reason": "FluxLoraLoaderMixin delete_adapters regression vs loading sd_xl_refiner via from_single_file; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 258, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10057", + "issue:10165", + "issue:10226", + "issue:10239", + "issue:10453", + "issue:1111", + "issue:11247", + "issue:11864", + "issue:12108", + "issue:12157", + "issue:12321", + "issue:12338", + "issue:12437", + "issue:12540", + "issue:13015", + "issue:13298", + "issue:1574", + "issue:1647", + "issue:1790", + "issue:2264", + "issue:3455", + "issue:3481", + "issue:3651", + "issue:3655", + "issue:3683", + "issue:4080", + "issue:4366", + "issue:4506", + "issue:4530", + "issue:5225", + "issue:5284", + "issue:5395", + "issue:5463", + "issue:5489", + "issue:6091", + "issue:6295", + "issue:6335", + "issue:6398", + "issue:6530", + "issue:7009", + "issue:7138", + "issue:7191", + "issue:7228", + "issue:7781", + "issue:7881", + "issue:8464", + "issue:9370", + "issue:953" + ], + "soft_pairs": [ + "issue:5395|issue:5489", + "issue:12108|issue:12157", + "issue:1574|issue:1790", + "issue:4506|issue:5463", + "issue:6091|issue:6398", + "issue:6335|issue:7881", + "issue:10239|issue:7009", + "issue:11864|issue:12338", + "issue:3651|issue:3683", + "issue:7228|issue:7781", + "issue:10057|issue:11247", + "issue:5225|issue:9370", + "issue:1111|issue:953", + "issue:5284|issue:6530", + "issue:2264|issue:3481", + "issue:3655|issue:7191", + "issue:4080|issue:4366", + "issue:10165|issue:8464", + "issue:10226|issue:7138", + "issue:4530|issue:6295", + "issue:10453|issue:12540", + "issue:13015|issue:13298", + "issue:12321|issue:12437", + "issue:1647|issue:3455" + ], + "prepared_review_unit_hash": "b910135e0b145b39450de04dc584b33637dabf09d338d0da14bf880cb7ef9b4b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33900, + "estimated_input_tokens": 8475, + "estimated_eval_tokens": 17206 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is very heterogeneous; the soft pairs only share broad subsystem keywords and do not look like true duplicates. I rejected all soft edges and found no single canonical issue that cleanly represents the whole set.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue fits well: the items span many unrelated bugs, feature requests, and model/pipeline areas, so the cluster is not a coherent duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11247 is the strongest standalone report if a representative issue must be chosen: it has a concrete failure mode and explicit component context, but it is not a good umbrella for the rest of the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5395", + "right": "issue:5489", + "accept": false, + "reason": "Shared PEFT/LoRA theme only; one is a specific LoRA-combination bug and the other is a broad integration alert." + }, + { + "left": "issue:12108", + "right": "issue:12157", + "accept": false, + "reason": "Both are Qwen-related, but one is a scheduler/flow-matching breakage and the other is a bnb quantization device error." + }, + { + "left": "issue:1574", + "right": "issue:1790", + "accept": false, + "reason": "Training-related in general, but one is a concrete Dreambooth GPU failure and the other is a general question about training." + }, + { + "left": "issue:4506", + "right": "issue:5463", + "accept": false, + "reason": "Different code-paths and failures: overwritten prompt embeds vs image_latents referenced before assignment." + }, + { + "left": "issue:6091", + "right": "issue:6398", + "accept": false, + "reason": "Both mention memory, but one is a decoder-size argument issue and the other is an unspecific memory leak report." + }, + { + "left": "issue:6335", + "right": "issue:7881", + "accept": false, + "reason": "Different pipelines and bugs: output-size control in ControlNet Img2Img vs from_single_file loading in LPW Stable Diffusion." + }, + { + "left": "issue:10239", + "right": "issue:7009", + "accept": false, + "reason": "Same video family, but one is offload support and the other is poor generation quality with a specific checkpoint." + }, + { + "left": "issue:11864", + "right": "issue:12338", + "accept": false, + "reason": "Both involve AutoencoderDC, but the failures are distinct: torch.compile fullgraph import/name error vs VAE slicing/multi-image decoding." + }, + { + "left": "issue:3651", + "right": "issue:3683", + "accept": false, + "reason": "Both are training/integration topics, but one is multi-GPU Dreambooth execution and the other is Multi-ControlNet save_pretrained support." + }, + { + "left": "issue:7228", + "right": "issue:7781", + "accept": false, + "reason": "Unrelated bugs: traced-model dtype attribute missing vs PIL image serialization receiving a dict." + }, + { + "left": "issue:10057", + "right": "issue:11247", + "accept": false, + "reason": "Both mention FluxTransformer2DModel, but one is from_single_file token/loading trouble and the other is multi-GPU distribution with controlnet." + }, + { + "left": "issue:5225", + "right": "issue:9370", + "accept": false, + "reason": "One is a VRAM/memory capacity complaint; the other is a missing pooled_projection argument in a specific embedding forward path." + }, + { + "left": "issue:1111", + "right": "issue:953", + "accept": false, + "reason": "Not the same issue: one is about dataset licensing/training data, the other is about smaller output image sizes." + }, + { + "left": "issue:5284", + "right": "issue:6530", + "accept": false, + "reason": "One is a support request for ControlNet-LLLite, not the same as the SDXL ControlNet/K-diffusion runtime issue." + }, + { + "left": "issue:2264", + "right": "issue:3481", + "accept": false, + "reason": "Both involve seeds/reproducibility, but the concrete failures differ: pipeline seed-setting error vs step-dependent image differences." + }, + { + "left": "issue:3655", + "right": "issue:7191", + "accept": false, + "reason": "Both mention imports, but the platform/component failures are different and not enough to treat as duplicates." + }, + { + "left": "issue:4080", + "right": "issue:4366", + "accept": false, + "reason": "Feature request for SDXL inpainting vs a fine-tuning script request; different artifacts and goals." + }, + { + "left": "issue:10165", + "right": "issue:8464", + "accept": false, + "reason": "Both are seed-related, but one concerns changing LoRA scale and the other cpu offload in SEGA." + }, + { + "left": "issue:10226", + "right": "issue:7138", + "accept": false, + "reason": "Both are Flux/SDXL-adjacent model-shape problems, but one is a Dreambooth LoRA tensor mismatch and the other is an SDXL U-Net structure mismatch." + }, + { + "left": "issue:4530", + "right": "issue:6295", + "accept": false, + "reason": "Different output artifacts: color speckles in SDXL refiner vs artifacts under a specific sampler configuration." + }, + { + "left": "issue:10453", + "right": "issue:12540", + "accept": false, + "reason": "Different pipelines and symptoms: Hunyuan Video batch-size support vs Sana embedding compatibility." + }, + { + "left": "issue:13015", + "right": "issue:13298", + "accept": false, + "reason": "Both are device-placement errors, but they affect different Qwen image variants and likely different code paths." + }, + { + "left": "issue:12321", + "right": "issue:12437", + "accept": false, + "reason": "One is support for HunyuanImage-2.1; the other is a request to support OmniSVG. Different models/features." + }, + { + "left": "issue:1647", + "right": "issue:3455", + "accept": false, + "reason": "A solved usage question about color correction .pt is unrelated to the pretrained instruct-pix2pix training request." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 259, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10381", + "issue:10743", + "issue:10925", + "issue:1101", + "issue:11642", + "issue:2203", + "issue:2437", + "issue:2669", + "issue:3658", + "issue:4139", + "issue:4149", + "issue:4353", + "issue:4406", + "issue:4410", + "issue:4975", + "issue:4991", + "issue:5004", + "issue:5070", + "issue:5079", + "issue:5271", + "issue:5405", + "issue:5509", + "issue:5685", + "issue:5783", + "issue:6016", + "issue:6037", + "issue:6176", + "issue:6454", + "issue:6496", + "issue:6518", + "issue:6713", + "issue:6790", + "issue:7147", + "issue:7450", + "issue:7454", + "issue:7600", + "issue:761", + "issue:7798", + "issue:7801", + "issue:7856", + "issue:8612", + "issue:8918", + "issue:9044", + "issue:9084", + "issue:9090", + "issue:9204", + "issue:9450", + "issue:9505" + ], + "soft_pairs": [ + "issue:2203|issue:761", + "issue:2437|issue:6037", + "issue:4139|issue:8612", + "issue:4149|issue:5509", + "issue:4991|issue:5405", + "issue:5004|issue:7600", + "issue:5271|issue:6496", + "issue:5783|issue:8918", + "issue:7147|issue:7856", + "issue:10381|issue:9450", + "issue:4410|issue:6016", + "issue:4353|issue:7798", + "issue:4406|issue:6713", + "issue:5685|issue:7450", + "issue:10743|issue:10925", + "issue:2669|issue:6518", + "issue:1101|issue:5070", + "issue:3658|issue:7600", + "issue:4975|issue:9090", + "issue:5079|issue:7454", + "issue:6176|issue:9505", + "issue:6454|issue:7801", + "issue:6790|issue:9204", + "issue:7798|issue:9084", + "issue:11642|issue:9044" + ], + "prepared_review_unit_hash": "a8d1d5b73a7b0cdc961aa25198221f7d5d3e3714f245b4bde69eb149941cd5f6", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34231, + "estimated_input_tokens": 8558, + "estimated_eval_tokens": 17372 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly heterogeneous and does not form a broad duplicate cluster. The only strong duplicate-looking pair is the safetensors `HeaderTooLarge` reports (4406 and 6713); the rest are different bugs, features, or training-script issues across unrelated code paths.", + "confidence": 0.82, + "canonical_issue_reason": "issue 6713 is the best canonical for the duplicated `HeaderTooLarge` safetensors failure because it names the concrete failing script and the exact error; issue 4406 is the more generic report of the same problem.", + "canonical_pr_reason": null, + "best_issue_reason": "issue 6713 is the strongest anchor in this set: it is the clearest, most concrete bug report and matches the only accepted duplicate pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2203", + "right": "issue:761", + "accept": false, + "reason": "Unrelated problems: download location vs 8-bit Adam training failure." + }, + { + "left": "issue:2437", + "right": "issue:6037", + "accept": false, + "reason": "Different requests: T2I-Adapter pipeline vs InstaFlow pipeline addition." + }, + { + "left": "issue:4139", + "right": "issue:8612", + "accept": false, + "reason": "Both involve precision, but different pipelines and failure modes." + }, + { + "left": "issue:4149", + "right": "issue:5509", + "accept": false, + "reason": "Different pipelines and different batch-mismatch contexts." + }, + { + "left": "issue:4991", + "right": "issue:5405", + "accept": false, + "reason": "Dataloader preparation bug vs single-file SDXL weight overwrite issue." + }, + { + "left": "issue:5004", + "right": "issue:7600", + "accept": false, + "reason": "Both are training bugs, but the code paths differ: resume/checkpointing vs text_encoder accumulation." + }, + { + "left": "issue:5271", + "right": "issue:6496", + "accept": false, + "reason": "Different DreamBooth feature requests with no shared bug path." + }, + { + "left": "issue:5783", + "right": "issue:8918", + "accept": false, + "reason": "Different training scripts/models and different failure descriptions." + }, + { + "left": "issue:7147", + "right": "issue:7856", + "accept": false, + "reason": "Import error vs tokenizer vocabulary collision; unrelated." + }, + { + "left": "issue:10381", + "right": "issue:9450", + "accept": false, + "reason": "Both mention FLUX, but one is quantization/LoRA inference and the other is a multi-GPU device-placement bug." + }, + { + "left": "issue:4410", + "right": "issue:6016", + "accept": false, + "reason": "Both are shape/type conversion issues, but they affect different conversion/loading paths." + }, + { + "left": "issue:4353", + "right": "issue:7798", + "accept": false, + "reason": "SDXL quality complaint vs PixArtAlpha pipeline bug; not the same issue." + }, + { + "left": "issue:4406", + "right": "issue:6713", + "accept": true, + "reason": "Same underlying safetensors `HeaderTooLarge` deserialization failure; one is the generic error and the other is the same error in the conversion script." + }, + { + "left": "issue:5685", + "right": "issue:7450", + "accept": false, + "reason": "Scheduler behavior concerns vs AutoencoderKL threading issues; different subsystems." + }, + { + "left": "issue:10743", + "right": "issue:10925", + "accept": false, + "reason": "Zero-3 training support vs Dreambooth CLIPTextModel issue; different FLUX training topics." + }, + { + "left": "issue:2669", + "right": "issue:6518", + "accept": false, + "reason": "Different `NoneType` errors in different scripts and code paths." + }, + { + "left": "issue:1101", + "right": "issue:5070", + "accept": false, + "reason": "Scheduler feature request vs ControlNet example settings; not duplicates." + }, + { + "left": "issue:3658", + "right": "issue:7600", + "accept": false, + "reason": "Dreambooth upsampler noise bug vs missing accumulate on text_encoder." + }, + { + "left": "issue:4975", + "right": "issue:9090", + "accept": false, + "reason": "LoRA loading inefficiency vs PNDM timestep repetition; unrelated." + }, + { + "left": "issue:5079", + "right": "issue:7454", + "accept": false, + "reason": "LoRA loading support request vs generic LORA support; too broad and not the same concrete change." + }, + { + "left": "issue:6176", + "right": "issue:9505", + "accept": false, + "reason": "LoRA post-training load failure vs upscaler state-dict key error; different models and failures." + }, + { + "left": "issue:6454", + "right": "issue:7801", + "accept": false, + "reason": "FP16 gradient unscale error vs model not actually being fp16; related theme but different bug." + }, + { + "left": "issue:6790", + "right": "issue:9204", + "accept": false, + "reason": "LCM state_dict mismatch vs FLUX DreamBooth script; unrelated training failures." + }, + { + "left": "issue:7798", + "right": "issue:9084", + "accept": false, + "reason": "Different pipeline bugs: PixArtAlpha general bug vs SD3 inpaint scheduler step ordering." + }, + { + "left": "issue:11642", + "right": "issue:9044", + "accept": false, + "reason": "Prompt-embed scaling issue vs missing model file during SDXL load; unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and conservative overall. The only accepted soft pair (4406/6713) is supported by the packet\u2019s titles, and the rest of the soft-edge rejects stay within safe bounds without overclaiming duplicates." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 260, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10287", + "issue:1033", + "issue:11000", + "issue:11093", + "issue:11432", + "issue:1284", + "issue:12895", + "issue:1566", + "issue:1992", + "issue:2091", + "issue:2202", + "issue:2276", + "issue:2784", + "issue:3116", + "issue:3381", + "issue:3951", + "issue:4171", + "issue:444", + "issue:4453", + "issue:4664", + "issue:4788", + "issue:4885", + "issue:5062", + "issue:5399", + "issue:5480", + "issue:5485", + "issue:5798", + "issue:5969", + "issue:6616", + "issue:696", + "issue:7690", + "issue:7770", + "issue:7836", + "issue:8535", + "issue:8543", + "issue:8557", + "issue:9027", + "issue:9063", + "issue:9170", + "issue:9181", + "issue:9332", + "issue:9350", + "issue:9362", + "issue:9448", + "issue:9484", + "issue:9548", + "issue:9665", + "issue:9680" + ], + "soft_pairs": [ + "issue:9484|issue:9665", + "issue:9350|issue:9362", + "issue:1033|issue:444", + "issue:11000|issue:9027", + "issue:1992|issue:5062", + "issue:2202|issue:2784", + "issue:8535|issue:8557", + "issue:4664|issue:4885", + "issue:1284|issue:5485", + "issue:11432|issue:9332", + "issue:7690|issue:9063", + "issue:3116|issue:3381", + "issue:2276|issue:696", + "issue:5798|issue:9181", + "issue:3951|issue:5969", + "issue:4171|issue:4453", + "issue:4788|issue:9170", + "issue:5480|issue:6616", + "issue:7836|issue:8543", + "issue:5399|issue:7770", + "issue:10287|issue:9548", + "issue:12895|issue:9448", + "issue:1566|issue:2091", + "issue:11093|issue:9680" + ], + "prepared_review_unit_hash": "2df13fcdca9ce56f197a5bcd569c1c789e18900b977cd48c39af9cd194f5c846", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33777, + "estimated_input_tokens": 8445, + "estimated_eval_tokens": 17146 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a grab bag of unrelated Diffusers issues: docs/example bugs, training problems, tokenizer/loading failures, scheduler edge cases, ControlNet/SDXL/SD3 regressions, and feature requests. The soft pairs share only broad subsystem vocabulary, not the same underlying code path, so none should be merged as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": "No single canonical issue: the items span many unrelated bugs and feature requests, so there is no justified duplicate anchor for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9332 is the strongest representative if one issue must anchor the set: it is open, core to StableDiffusionPipeline.from_pretrained, and has the broadest likely impact among the listed items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9484", + "right": "issue:9665", + "accept": false, + "reason": "Different bugs: FLUX Dreambooth multi-GPU/deepspeed training vs DeepSpeed affecting accelerator.prepare()." + }, + { + "left": "issue:9350", + "right": "issue:9362", + "accept": false, + "reason": "Both are index-related, but they affect different paths and failure modes; not the same bug." + }, + { + "left": "issue:1033", + "right": "issue:444", + "accept": false, + "reason": "Both mention IndexError, but the models/conditions are unrelated and the reports describe different underlying issues." + }, + { + "left": "issue:11000", + "right": "issue:9027", + "accept": false, + "reason": "Missing shift argument in WanImageToVideoPipeline is not the same as an argument-naming consistency discussion." + }, + { + "left": "issue:1992", + "right": "issue:5062", + "accept": false, + "reason": "A JAX attention refactor request and a typo in attention are unrelated changes." + }, + { + "left": "issue:2202", + "right": "issue:2784", + "accept": false, + "reason": "OpenVINO support request vs Dreambooth support request; both are feature asks, but not the same one." + }, + { + "left": "issue:8535", + "right": "issue:8557", + "accept": false, + "reason": "SD3 xformers attention support and SD3 token-limit training behavior are different problems." + }, + { + "left": "issue:4664", + "right": "issue:4885", + "accept": false, + "reason": "Both are LoRA-loading complaints, but they hit different SDXL pipelines and likely different code paths." + }, + { + "left": "issue:1284", + "right": "issue:5485", + "accept": false, + "reason": "Generic batch-size slowdown is not the same as ControlNet batch inference taking forever." + }, + { + "left": "issue:11432", + "right": "issue:9332", + "accept": false, + "reason": "Different loading bugs: torch_dtype='auto' handling vs incorrect model weights being loaded." + }, + { + "left": "issue:7690", + "right": "issue:9063", + "accept": false, + "reason": "Tokenizer loading failure for SDXL base is unrelated to FLUX slow-tokenizer instantiation failure." + }, + { + "left": "issue:3116", + "right": "issue:3381", + "accept": false, + "reason": "Scheduler noise in img2img and discolored inpaint batch output are different defects." + }, + { + "left": "issue:2276", + "right": "issue:696", + "accept": false, + "reason": "Environment/package install failure vs CUDA OOM during Dreambooth training; not the same bug." + }, + { + "left": "issue:5798", + "right": "issue:9181", + "accept": false, + "reason": "Unexpected kwarg support and strange output artifacts are distinct ControlNet issues." + }, + { + "left": "issue:3951", + "right": "issue:5969", + "accept": false, + "reason": "NaNs in UniDiffuser demo and DDIM NaNs with ZSNR patch are different model/scheduler paths." + }, + { + "left": "issue:4171", + "right": "issue:4453", + "accept": false, + "reason": "Documentation homepage rendering issue vs LoRA conversion question; unrelated." + }, + { + "left": "issue:4788", + "right": "issue:9170", + "accept": false, + "reason": "Both concern SDXL memory usage, but one is a concrete OOM bug and the other is a general VRAM requirement question." + }, + { + "left": "issue:5480", + "right": "issue:6616", + "accept": false, + "reason": "Separate feature requests: EDM implementation vs classifier-guidance support." + }, + { + "left": "issue:7836", + "right": "issue:8543", + "accept": false, + "reason": "CLIP example overfitting and SD3 Dreambooth gradient-checkpointing failure are unrelated." + }, + { + "left": "issue:5399", + "right": "issue:7770", + "accept": false, + "reason": "Dtype mismatch in custom inpainting is a different failure from LoRA tensor shape mismatch." + }, + { + "left": "issue:10287", + "right": "issue:9548", + "accept": false, + "reason": "Generic documentation example issue vs FLUX Dreambooth LoRA training bug; not the same underlying problem." + }, + { + "left": "issue:12895", + "right": "issue:9448", + "accept": false, + "reason": "SD3 batching crash with num_images_per_prompt and IP-Adapter tuple shape error are different code paths." + }, + { + "left": "issue:1566", + "right": "issue:2091", + "accept": false, + "reason": "Dreambooth checkpoint-save crash with fp16 output and checkpoint-resume multi-GPU training issue are distinct." + }, + { + "left": "issue:11093", + "right": "issue:9680", + "accept": false, + "reason": "TorchAO example breakage and SDXL unconditional generation breakage are separate issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 261, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10016", + "issue:10518", + "issue:10917", + "issue:11041", + "issue:11214", + "issue:11387", + "issue:11497", + "issue:11907", + "issue:12096", + "issue:12338", + "issue:12423", + "issue:12905", + "issue:1444", + "issue:170", + "issue:1842", + "issue:1979", + "issue:2083", + "issue:2163", + "issue:2495", + "issue:3116", + "issue:3420", + "issue:3583", + "issue:3730", + "issue:4000", + "issue:4148", + "issue:4497", + "issue:4676", + "issue:4880", + "issue:5084", + "issue:5226", + "issue:5379", + "issue:5515", + "issue:579", + "issue:5829", + "issue:6054", + "issue:6167", + "issue:6548", + "issue:6700", + "issue:6706", + "issue:7220", + "issue:759", + "issue:8887", + "issue:9027", + "issue:9279", + "issue:9291", + "issue:9731", + "issue:9895" + ], + "soft_pairs": [ + "issue:170|issue:2083", + "issue:4497|issue:759", + "issue:9279|issue:9291", + "issue:11497|issue:9731", + "issue:5226|issue:6167", + "issue:11387|issue:12338", + "issue:2495|issue:3116", + "issue:5379|issue:5515", + "issue:3420|issue:7220", + "issue:1842|issue:6054", + "issue:4880|issue:6700", + "issue:11907|issue:12096", + "issue:11041|issue:9895", + "issue:10016|issue:12423", + "issue:4676|issue:6548", + "issue:10518|issue:12905", + "issue:10917|issue:8887", + "issue:11214|issue:9027", + "issue:1444|issue:5084", + "issue:1979|issue:4000", + "issue:2083|issue:579", + "issue:2163|issue:5829", + "issue:3583|issue:6706", + "issue:3730|issue:4148" + ], + "prepared_review_unit_hash": "ae72f567775d3c09b7fd63c7d9b45d83c4f6422be288b5859bbc3b9161d12e01", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33470, + "estimated_input_tokens": 8368, + "estimated_eval_tokens": 16992 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No acceptable duplicate pairs here: the candidates span many unrelated pipelines, models, and failure modes, so they do not appear to be the same underlying bug/change.", + "confidence": 0.96, + "canonical_issue_reason": "No canonical issue selected: none of the soft pairs are true duplicates, and the set is heterogeneous rather than one coherent bug cluster.", + "canonical_pr_reason": "No PRs were provided in the input.", + "best_issue_reason": "No global best issue: any single choice would be arbitrary because the items cover unrelated issues across different subsystems.", + "best_pr_reason": "No PRs were provided in the input.", + "soft_edge_verdicts": [ + { + "left": "issue:170", + "right": "issue:2083", + "accept": false, + "reason": "Both mention eta, but one is a step()/scheduler API mismatch and the other is a DDIMScheduler multiple-generator edge case; different bugs." + }, + { + "left": "issue:4497", + "right": "issue:759", + "accept": false, + "reason": "Dynamic thresholding and textual inversion model saving are unrelated features with no shared failure path." + }, + { + "left": "issue:9279", + "right": "issue:9291", + "accept": false, + "reason": "Dynamic LoRA loading with torch.compile and FLUX LoRA key compatibility are distinct problems in different code paths." + }, + { + "left": "issue:11497", + "right": "issue:9731", + "accept": false, + "reason": "Dataset preprocessing cache invalidation is unrelated to a user asking how to train LoRA on Playground2.5." + }, + { + "left": "issue:5226", + "right": "issue:6167", + "accept": false, + "reason": "load_lora_weights and load_ip_adapter are different adapter mechanisms; these are not the same bug." + }, + { + "left": "issue:11387", + "right": "issue:12338", + "accept": false, + "reason": "RMSNorm2d vs RMSNorm in AutoencoderDC is a model-layer implementation bug, not the same as VAE slicing during multi-image decode." + }, + { + "left": "issue:2495", + "right": "issue:3116", + "accept": false, + "reason": "MPS black-image output and KDPM2DiscreteScheduler latent noise are different symptoms with different subsystems." + }, + { + "left": "issue:5379", + "right": "issue:5515", + "accept": false, + "reason": "A community SpeechToImage pipeline request is unrelated to an LCM pipeline failing without an explicit scheduler." + }, + { + "left": "issue:3420", + "right": "issue:7220", + "accept": false, + "reason": "ControlNet/diffusion pipeline incompatibility and unload_ip_adapter errors are separate pipeline issues." + }, + { + "left": "issue:1842", + "right": "issue:6054", + "accept": false, + "reason": "Unexpected eta kwarg and torch.from_numpy misuse in set_timesteps are different scheduler bugs." + }, + { + "left": "issue:4880", + "right": "issue:6700", + "accept": false, + "reason": "Single-ControlNet image validation and attention-processor temb kwarg forwarding are unrelated TypeErrors." + }, + { + "left": "issue:11907", + "right": "issue:12096", + "accept": false, + "reason": "Flux scheduler compatibility and WanVACEPipeline offloading errors affect different models and code paths." + }, + { + "left": "issue:11041", + "right": "issue:9895", + "accept": false, + "reason": "WAN2.1 apply_group_offloading and FluxPipeline device placement are different failures, not one underlying bug." + }, + { + "left": "issue:10016", + "right": "issue:12423", + "accept": false, + "reason": "Both involve from_single_file, but they target different models and different loading failures." + }, + { + "left": "issue:4676", + "right": "issue:6548", + "accept": false, + "reason": "TAESD dark latents and RGBA images being mistaken for latents are distinct VAE/encoding issues." + }, + { + "left": "issue:10518", + "right": "issue:12905", + "accept": false, + "reason": "A training-script problem and a Z_Image guidance-scale implementation bug are unrelated." + }, + { + "left": "issue:10917", + "right": "issue:8887", + "accept": false, + "reason": "Lumina-2.0 script correctness and SD3 VAE encode issues are different model/script problems." + }, + { + "left": "issue:11214", + "right": "issue:9027", + "accept": false, + "reason": "An unexpected encoder_hidden_states kwarg and argument-name consistency are not the same concrete bug." + }, + { + "left": "issue:1444", + "right": "issue:5084", + "accept": false, + "reason": "These are separate import errors for different pipelines/components." + }, + { + "left": "issue:1979", + "right": "issue:4000", + "accept": false, + "reason": "General SD-to-diffusers conversion trouble is not the same as a specific SD2 ckpt conversion issue." + }, + { + "left": "issue:2083", + "right": "issue:579", + "accept": false, + "reason": "DDIMScheduler eta/generator behavior is unrelated to missing config.json in textual inversion." + }, + { + "left": "issue:2163", + "right": "issue:5829", + "accept": false, + "reason": "UNet dtype mismatch in training and missing unet_time_cond_proj_dim in LCM scripts are different bugs." + }, + { + "left": "issue:3583", + "right": "issue:6706", + "accept": false, + "reason": "Mixture of Diffusers support and 'cads support' are unrelated feature requests." + }, + { + "left": "issue:3730", + "right": "issue:4148", + "accept": false, + "reason": "Wrong inpainting timestep blending and SDXL inpainting config errors are not the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 262, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10097", + "issue:10223", + "issue:10281", + "issue:10302", + "issue:11127", + "issue:11387", + "issue:11859", + "issue:1205", + "issue:12052", + "issue:1543", + "issue:1672", + "issue:1695", + "issue:2265", + "issue:2351", + "issue:2722", + "issue:3009", + "issue:3029", + "issue:3177", + "issue:3221", + "issue:3249", + "issue:4122", + "issue:4303", + "issue:4331", + "issue:4554", + "issue:4648", + 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"issue:3009|issue:3029", + "issue:3221|issue:7548" + ], + "prepared_review_unit_hash": "5cb9948cc81351d9ec994a4a7ca465f5bdec39972d6045a723661e074d6feddf", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33658, + "estimated_input_tokens": 8415, + "estimated_eval_tokens": 17086 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a broad mix of unrelated issues across docs, schedulers, inference/device placement, model conversion, and example scripts. None of the soft pairs describe the same concrete bug or change, so no duplicates should be merged.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4303", + "right": "issue:6921", + "accept": false, + "reason": "Both concern SDXL, but one is a Flax pipeline load crash and the other is a weights mismatch; different failure modes and fixes." + }, + { + "left": "issue:4554", + "right": "issue:6906", + "accept": false, + "reason": "OOM in a Kandinsky example vs a broken LoRA dreambooth example; same general training/inference area but not the same bug." + }, + { + "left": "issue:4648", + "right": "issue:7456", + "accept": false, + "reason": "Missing config.json when loading a ControlNet directory is unrelated to a missing raise statement in code." + }, + { + "left": "issue:5595", + "right": "issue:6731", + "accept": false, + "reason": "Both are ValueErrors, but one is about invalid image dimensions and the other about an unhandled pipeline class." + }, + { + "left": "issue:5603", + "right": "issue:6142", + "accept": false, + "reason": "Different NameError/ImportError issues with unrelated symbols and code paths." + }, + { + "left": "issue:6535", + "right": "issue:9485", + "accept": false, + "reason": "Scheduler customization request vs a request to move scheduler tensors onto CUDA; related topic but not the same defect or change." + }, + { + "left": "issue:6727", + "right": "issue:9248", + "accept": false, + "reason": "Different dtype error in attention KV/Q tensors vs a pip install command/question; no shared bug." + }, + { + "left": "issue:9134", + "right": "issue:9677", + "accept": false, + "reason": "Both mention Flux and precision, but one is about LoRA training behavior and the other about keeping text encoders in fp32." + }, + { + "left": "issue:3249", + "right": "issue:5028", + "accept": false, + "reason": "Both are argument/signature issues in blocks, but one is about AttnUpBlock2D and the other is an SDXL reference pipeline hook with a scale kwarg." + }, + { + "left": "issue:10223", + "right": "issue:11387", + "accept": false, + "reason": "A question about obtaining a LoRA identifier in inference is unrelated to RMSNorm being the wrong variant in AutoencoderDC." + }, + { + "left": "issue:1543", + "right": "issue:2265", + "accept": false, + "reason": "Different broken paths: textual inversion revision handling vs ONNXRuntime incompatibility in an unconditional training script." + }, + { + "left": "issue:4122", + "right": "issue:5687", + "accept": false, + "reason": "Both are scheduler-related, but one is wrong timestep count in SDXL pipelines and the other is duplicate timesteps breaking img2img with low strength." + }, + { + "left": "issue:11127", + "right": "issue:9996", + "accept": false, + "reason": "Both involve Flux model loading, but one is a specific single-file model compatibility problem and the other is nf4 loading of a standard transformer." + }, + { + "left": "issue:4331", + "right": "issue:5014", + "accept": false, + "reason": "Different dreambooth/lora concerns: output differences between scripts vs poor training results." + }, + { + "left": "issue:10281", + "right": "issue:11859", + "accept": false, + "reason": "Both ask for schedulers, but they are distinct proposals: a new FreeScale scheduler vs a STORK scheduler request." + }, + { + "left": "issue:1695", + "right": "issue:3177", + "accept": false, + "reason": "Both mention multi-GPU/DeepSpeed offloading, but one is dreambooth training and the other is a broken stage-3 offloading setup; not the same concrete issue." + }, + { + "left": "issue:5026", + "right": "issue:5875", + "accept": false, + "reason": "Different model-conversion/runtime errors: missing text_encoder key in 0.21.0 vs ONNX prompt conversion error." + }, + { + "left": "issue:1672", + "right": "issue:2722", + "accept": false, + "reason": "Both are conversion-related, but one is wrong output image size after ckpt-to-diffusers and the other is ControlNet UNet mismatch across models." + }, + { + "left": "issue:10302", + "right": "issue:12052", + "accept": false, + "reason": "Both involve device/precision issues during inference, but one is FP8 noise without CPU offload and the other is cross-device tensor multiplication with Wan 2.2 LightX2V offloading." + }, + { + "left": "issue:10097", + "right": "issue:6439", + "accept": false, + "reason": "Both are docs issues, but one is a missing optimization-doc section and the other is a broken fp16 link." + }, + { + "left": "issue:1205", + "right": "issue:542", + "accept": false, + "reason": "Both relate to ONNX conversion, but they target different exports and problems: SD model conversion vs UNet export." + }, + { + "left": "issue:2351", + "right": "issue:5166", + "accept": false, + "reason": "Different pipeline/scheduler API gaps: missing get_velocity on a scheduler vs missing VQ-VAE scaling factor in an unconditional pipeline." + }, + { + "left": "issue:3009", + "right": "issue:3029", + "accept": false, + "reason": "Same broad ControlNet topic, but one asks generally about training improvement and the other is a custom-resolution example question." + }, + { + "left": "issue:3221", + "right": "issue:7548", + "accept": false, + "reason": "Attention processor loading regression vs flicker in AnimateDiff outputs; unrelated symptoms and code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 263, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10147", + "issue:10412", + "issue:10446", + "issue:10462", + "issue:10526", + "issue:11050", + "issue:12124", + "issue:1231", + "issue:12412", + "issue:13062", + "issue:13301", + "issue:1896", + "issue:1918", + "issue:2444", + "issue:2900", + "issue:2947", + "issue:3140", + "issue:3585", + "issue:3960", + "issue:4107", + "issue:4366", + "issue:4456", + "issue:4708", + "issue:4736", + "issue:4839", + "issue:4969", + "issue:5016", + "issue:5160", + "issue:5300", + "issue:5515", + "issue:5605", + "issue:5760", + "issue:5849", + "issue:5968", + "issue:6142", + "issue:6372", + "issue:6497", + "issue:660", + "issue:6713", + "issue:7177", + "issue:7864", + "issue:835", + "issue:8556", + "issue:8732", + "issue:9527", + "issue:9857", + "issue:9858", + "issue:9911" + ], + "soft_pairs": [ + "issue:5160|issue:5605", + "issue:10526|issue:8556", + "issue:3960|issue:6713", + "issue:4107|issue:5016", + "issue:4708|issue:7177", + "issue:6372|issue:6497", + "issue:10412|issue:8732", + "issue:1918|issue:5515", + "issue:1896|issue:660", + "issue:2900|issue:3585", + "issue:5760|issue:7864", + "issue:1231|issue:835", + "issue:12412|issue:13301", + "issue:3140|issue:6142", + "issue:4366|issue:5968", + "issue:11050|issue:9527", + "issue:2444|issue:4839", + "issue:9857|issue:9858", + "issue:4736|issue:5849", + "issue:10147|issue:10462", + "issue:10446|issue:9911", + "issue:12124|issue:13062", + "issue:2947|issue:4456", + "issue:4969|issue:5300" + ], + "prepared_review_unit_hash": "7787e94a24a1e0ce6a9fa19c08332bbaee040db433765cbbba525cff557a5f11", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33796, + "estimated_input_tokens": 8449, + "estimated_eval_tokens": 17154 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a false-positive bundle of unrelated feature requests and bug reports that only share generic diffusion/model-training vocabulary. I reject all soft edges; there is no real duplicate group here.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10446 is the most concrete and active bug report in the set (many comments, specific failing pipeline), but it is not a valid canonical for the cluster because the items are not duplicates of one another.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5160", + "right": "issue:5605", + "accept": false, + "reason": "Both are DreamBooth-related, but one is about masking and the other is about per-image captions; different requested changes." + }, + { + "left": "issue:10526", + "right": "issue:8556", + "accept": false, + "reason": "Different failure modes and code paths: optimum.quanto FP8 tensor construction vs SD3 meta-tensor loading." + }, + { + "left": "issue:3960", + "right": "issue:6713", + "accept": false, + "reason": "Shared 'HeaderTooLarge' wording, but one is a LoRA-related error and the other is a conversion-script error; not enough evidence of the same bug." + }, + { + "left": "issue:4107", + "right": "issue:5016", + "accept": false, + "reason": "Both involve SDXL LoRA training, but one reports noisy outputs and the other a text-encoder training limitation; not the same defect." + }, + { + "left": "issue:4708", + "right": "issue:7177", + "accept": false, + "reason": "An import error for diffusers.utils is unrelated to a StableCascadeDecoderPipeline.from_pretrained failure." + }, + { + "left": "issue:6372", + "right": "issue:6497", + "accept": false, + "reason": "Different pipelines and features: SVD+ControlNet versus DragNUWA." + }, + { + "left": "issue:10412", + "right": "issue:8732", + "accept": false, + "reason": "Both are training issues, but one is excessive VRAM usage and the other is checkpoint saving; different bugs." + }, + { + "left": "issue:1918", + "right": "issue:5515", + "accept": false, + "reason": "Scheduler-related only at a high level; DDIM example issue and LCM pipeline initialization are not the same problem." + }, + { + "left": "issue:1896", + "right": "issue:660", + "accept": false, + "reason": "A size/type dict error in CLIP-guided SD is unrelated to MPS fp16 revision behavior." + }, + { + "left": "issue:2900", + "right": "issue:3585", + "accept": false, + "reason": "One is a how-to around merging LoRA weights, the other is a failure using a LoRA-synthesizing model; different underlying issues." + }, + { + "left": "issue:5760", + "right": "issue:7864", + "accept": false, + "reason": "Completely different projects and capabilities: video-to-audio synthesis vs camera-motion transfer." + }, + { + "left": "issue:1231", + "right": "issue:835", + "accept": false, + "reason": "Flax scheduler support and numpy_to_pil output conversion are unrelated." + }, + { + "left": "issue:12412", + "right": "issue:13301", + "accept": false, + "reason": "Both are support requests, but for different model families and different pipeline work." + }, + { + "left": "issue:3140", + "right": "issue:6142", + "accept": false, + "reason": "ControlNet import failure and a missing start_training name are unrelated code-paths." + }, + { + "left": "issue:4366", + "right": "issue:5968", + "accept": false, + "reason": "Full U-Net fine-tuning for SDXL and video-to-ONNX conversion are different tasks." + }, + { + "left": "issue:11050", + "right": "issue:9527", + "accept": false, + "reason": "Both mention dtype handling, but they concern different scripts and different mismatched tensors." + }, + { + "left": "issue:2444", + "right": "issue:4839", + "accept": false, + "reason": "Dreambooth inpaint exit-status error is not the same as a lora_scale type error." + }, + { + "left": "issue:9857", + "right": "issue:9858", + "accept": false, + "reason": "Flux controlnet tensor-size mismatch and a KeyError on 'train' are different failures." + }, + { + "left": "issue:4736", + "right": "issue:5849", + "accept": false, + "reason": "Same training script name, but one is OOM/invalid cast and the other is an accelerate CLI args error." + }, + { + "left": "issue:10147", + "right": "issue:10462", + "accept": false, + "reason": "Multi-view generation support and CogVideoX multi-ID customization are different feature requests." + }, + { + "left": "issue:10446", + "right": "issue:9911", + "accept": false, + "reason": "Both are Flux/controlnet-related, but sharding incompatibility and multi-controlnet layer-length mismatch are distinct bugs." + }, + { + "left": "issue:12124", + "right": "issue:13062", + "accept": false, + "reason": "A dataloader shuffle question for qwen-image training is unrelated to onnxruntime-windowsml support policy." + }, + { + "left": "issue:2947", + "right": "issue:4456", + "accept": false, + "reason": "Different LoRA-loading failures: missing API method versus a ModuleList indexing error." + }, + { + "left": "issue:4969", + "right": "issue:5300", + "accept": false, + "reason": "An import error and unwanted internet access are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 264, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1082", + "issue:10933", + "issue:11396", + "issue:11561", + "issue:11661", + "issue:12113", + "issue:1251", + "issue:1335", + "issue:1546", + "issue:1949", + "issue:2538", + "issue:2695", + "issue:2844", + "issue:3418", + "issue:3769", + "issue:4269", + "issue:4297", + "issue:4390", + "issue:4478", + "issue:4534", + "issue:4584", + "issue:4619", + "issue:4767", + "issue:4932", + "issue:4977", + "issue:5254", + "issue:5334", + "issue:5538", + "issue:5592", + "issue:5628", + "issue:5846", + "issue:5849", + "issue:6159", + "issue:6295", + "issue:6794", + "issue:7079", + "issue:7220", + "issue:7432", + "issue:7572", + "issue:8241", + "issue:8410", + "issue:8803", + "issue:8837", + "issue:8989", + "issue:9227", + "issue:9648", + "issue:988", + "issue:989" + ], + "soft_pairs": [ + "issue:5538|issue:8803", + "issue:4932|issue:7220", + "issue:4767|issue:5254", + "issue:4977|issue:5592", + "issue:5628|issue:6159", + "issue:4297|issue:6295", + "issue:11561|issue:8410", + "issue:1251|issue:3769", + "issue:1335|issue:4390", + "issue:2538|issue:3418", + "issue:5334|issue:988", + "issue:12113|issue:9648", + "issue:1949|issue:2844", + "issue:1082|issue:989", + "issue:5846|issue:5849", + "issue:6794|issue:7079", + "issue:4584|issue:4619", + "issue:2695|issue:4534", + "issue:4478|issue:8241", + "issue:1546|issue:4269", + "issue:7432|issue:7572", + "issue:11661|issue:9227", + "issue:8837|issue:8989", + "issue:10933|issue:11396" + ], + "prepared_review_unit_hash": "1e62b0224b9bfb8d251d24e8d8cc75876965bc398124d33b20a7c41888c6ff5c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34323, + "estimated_input_tokens": 8581, + "estimated_eval_tokens": 17418 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is a mix of unrelated bugs and feature requests across pipelines, training scripts, schedulers, and model-loading paths. None of the soft pairs look like the same underlying issue or change, so all soft edges are rejected.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:5846 is the clearest concrete bug report in the set: it names a specific script, command, and failure mode, and has enough context to be a good representative issue if one must be chosen.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5538", + "right": "issue:8803", + "accept": false, + "reason": "Different bugs in different code paths: one questions latent usage in an upscale pipeline, the other is a duplicate assignment in attention processing." + }, + { + "left": "issue:4932", + "right": "issue:7220", + "accept": false, + "reason": "Both mention IP-adapter-related behavior, but one is about DreamBooth not returning weights and the other about unloading IP adapters in a controlnet inpaint pipeline." + }, + { + "left": "issue:4767", + "right": "issue:5254", + "accept": false, + "reason": "A scheduler prediction_type feature request is not the same as adding Multi-ControlNet support to an inpaint pipeline." + }, + { + "left": "issue:4977", + "right": "issue:5592", + "accept": false, + "reason": "Checkpoint cleanup in a training example is unrelated to UniDiffuser failing to load checkpoints." + }, + { + "left": "issue:5628", + "right": "issue:6159", + "accept": false, + "reason": "Both involve denoising_end, but one reports an offset bug with LMS Karras and the other a missing keyword-argument support issue in a different pipeline." + }, + { + "left": "issue:4297", + "right": "issue:6295", + "accept": false, + "reason": "Both mention image artifacts, but the affected pipelines and likely causes differ; these are not the same concrete defect." + }, + { + "left": "issue:11561", + "right": "issue:8410", + "accept": false, + "reason": "These are separate feature requests for different pipelines (FluxFill IP-Adapter support vs native TextDiffuser support)." + }, + { + "left": "issue:1251", + "right": "issue:3769", + "accept": false, + "reason": "Black output on MPS in RePaint is unrelated to quartered panorama output in StableDiffusionPanoramaPipeline." + }, + { + "left": "issue:1335", + "right": "issue:4390", + "accept": false, + "reason": "A missing constructor argument in an ONNX pipeline is unrelated to a generic missing requirements issue." + }, + { + "left": "issue:2538", + "right": "issue:3418", + "accept": false, + "reason": "Both ask for text-encoder support, but they target different LoRA training scripts and are not the same bug or change." + }, + { + "left": "issue:5334", + "right": "issue:988", + "accept": false, + "reason": "Accelerate multi-model preparation is a training-infrastructure request, not the same as the FSDP examples training issue." + }, + { + "left": "issue:12113", + "right": "issue:9648", + "accept": false, + "reason": "A channel-mismatch runtime error in WanImageToVideoPipeline is unrelated to VAE tiling causing memory overflow." + }, + { + "left": "issue:1949", + "right": "issue:2844", + "accept": false, + "reason": "DreamBooth tutorial errors and explicit image-embedding runtime errors are different problems in different paths." + }, + { + "left": "issue:1082", + "right": "issue:989", + "accept": false, + "reason": "CUBLAS execution failure during DreamBooth training is not the same as a generic 'weight must be 2-D' runtime error." + }, + { + "left": "issue:5846", + "right": "issue:5849", + "accept": false, + "reason": "Both involve train_text_to_image_lora_sdxl.py, but one is a resume_from_checkpoint failure and the other is a launch/signature TypeError." + }, + { + "left": "issue:6794", + "right": "issue:7079", + "accept": false, + "reason": "An import error for cast_training_params is unrelated to Transformer2DModel patch/norm behavior." + }, + { + "left": "issue:4584", + "right": "issue:4619", + "accept": false, + "reason": "These are different SDXL training bugs: one concerns checkpoint resume, the other a dtype/bias mismatch." + }, + { + "left": "issue:2695", + "right": "issue:4534", + "accept": false, + "reason": "Validation failure with default Tensorboard reporting is unrelated to an MPS crash during SDXL DreamBooth validation." + }, + { + "left": "issue:4478", + "right": "issue:8241", + "accept": false, + "reason": "A dtype/bias mismatch on SDXL load is not the same as an abnormal-size LEDITS++ model issue." + }, + { + "left": "issue:1546", + "right": "issue:4269", + "accept": false, + "reason": "Both touch input validation, but one is a truncation-warning batch-input bug and the other is a default-args TypeError in check_inputs." + }, + { + "left": "issue:7432", + "right": "issue:7572", + "accept": false, + "reason": "Image quality differences from WebUI are unrelated to a dtype/bias mismatch runtime error." + }, + { + "left": "issue:11661", + "right": "issue:9227", + "accept": false, + "reason": "These are separate Flux training issues affecting different scripts and failure modes." + }, + { + "left": "issue:8837", + "right": "issue:8989", + "accept": false, + "reason": "A sliced attention processor bug is unrelated to Stable Audio sequential offloading." + }, + { + "left": "issue:10933", + "right": "issue:11396", + "accept": false, + "reason": "Loading IP-Adapter XL plus and converting a HiDream LoRA for ComfyUI are different tasks with no shared underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 265, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10029", + "issue:10100", + "issue:10398", + "issue:11117", + "issue:11223", + "issue:11674", + "issue:11779", + "issue:11901", + "issue:12358", + "issue:12567", + "issue:12783", + "issue:12895", + "issue:1305", + "issue:13137", + "issue:2202", + "issue:2266", + "issue:2471", + "issue:2507", + "issue:2984", + "issue:3087", + "issue:3689", + "issue:4030", + "issue:4107", + "issue:4332", + "issue:4368", + "issue:4615", + "issue:4618", + "issue:5046", + "issue:5079", + "issue:5110", + "issue:5245", + "issue:5327", + "issue:5573", + "issue:5607", + "issue:6109", + "issue:6439", + "issue:7138", + "issue:7191", + "issue:7420", + "issue:7836", + "issue:8827", + "issue:8930", + "issue:9479", + "issue:9531", + "issue:9813", + "issue:9858", + "issue:9927" + ], + "soft_pairs": [ + "issue:11117|issue:12895", + "issue:11779|issue:9479", + "issue:11901|issue:13137", + "issue:12567|issue:12783", + "issue:1305|issue:3087", + "issue:3689|issue:5079", + "issue:4332|issue:7420", + "issue:4615|issue:5245", + "issue:5245|issue:7191", + "issue:6439|issue:9531", + "issue:8827|issue:9813", + "issue:5573|issue:7138", + "issue:6109|issue:8930", + "issue:2471|issue:5607", + "issue:4030|issue:5327", + "issue:4107|issue:4368", + "issue:10100|issue:12358", + "issue:2202|issue:3087", + "issue:2984|issue:5046", + "issue:9858|issue:9927", + "issue:10029|issue:10398", + "issue:2266|issue:2507", + "issue:4618|issue:5110", + "issue:11223|issue:11674", + "issue:10010|issue:7836" + ], + "prepared_review_unit_hash": "16a7715f127836f2cddd60174ee39fb5b71541a6fdcdd497ac23aca5e9fbb34b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34105, + "estimated_input_tokens": 8527, + "estimated_eval_tokens": 17310 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pair looks like the same underlying bug/change; most only share a broad subsystem (LoRA, ControlNet, attention, or training) but differ in pipeline, model family, or failure mode. There are no PRs in this set. I picked issue 11117 as the most canonical issue because it is a clear, reproducible bug report with a specific runtime exception.", + "confidence": 0.93, + "canonical_issue_reason": "issue:11117 is the clearest self-contained bug report here: it names the exact pipeline, exact exception, and likely repro context, making it the best representative issue.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11117 is a concrete runtime failure in a core pipeline, with a specific error signature and enough detail to anchor triage.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11117", + "right": "issue:12895", + "accept": false, + "reason": "Both are StableDiffusion3Pipeline bugs, but the failures differ: dtype mismatch vs NoneType.ndim during batched prompts. Not the same bug." + }, + { + "left": "issue:11779", + "right": "issue:9479", + "accept": false, + "reason": "Both involve masking/inpainting, but they are different pipelines and different symptoms (Wan VACE mask padding vs SD inpaint modifying unmasked areas)." + }, + { + "left": "issue:11901", + "right": "issue:13137", + "accept": false, + "reason": "Both are LoRA-loading errors, but for different model families and different failure modes; not plausibly one fix." + }, + { + "left": "issue:12567", + "right": "issue:12783", + "accept": false, + "reason": "Both mention noisy output from attention variants, but Ulysses Attention and Sage Attention sm90 are distinct code paths and likely distinct bugs." + }, + { + "left": "issue:1305", + "right": "issue:3087", + "accept": false, + "reason": "Direct Inversion and LyCORIS support are unrelated features; no shared bug/change." + }, + { + "left": "issue:3689", + "right": "issue:5079", + "accept": false, + "reason": "Unload-vs-load support are different requests/problems, even though both touch LoRA/LyCORIS handling." + }, + { + "left": "issue:4332", + "right": "issue:7420", + "accept": false, + "reason": "xformers failure in a specific pipeline is unrelated to a torch.compile issue." + }, + { + "left": "issue:4615", + "right": "issue:5245", + "accept": false, + "reason": "ImportError for a missing pipeline class is not the same as a pipenv import freeze." + }, + { + "left": "issue:5245", + "right": "issue:7191", + "accept": false, + "reason": "Both are vague import problems, but the reports do not identify the same code path or failure." + }, + { + "left": "issue:6439", + "right": "issue:9531", + "accept": false, + "reason": "Docs 404 and SDXL sigma scheduling are unrelated." + }, + { + "left": "issue:8827", + "right": "issue:9813", + "accept": false, + "reason": "IP-Adapter usage error and batch feature-mixing bug are different problems; same subsystem is too broad." + }, + { + "left": "issue:5573", + "right": "issue:7138", + "accept": false, + "reason": "ControlNet weight init slowdown and SDXL UNet structure mismatch are distinct issues." + }, + { + "left": "issue:6109", + "right": "issue:8930", + "accept": false, + "reason": "Different ControlNet-related bugs in different pipelines with different symptoms." + }, + { + "left": "issue:2471", + "right": "issue:5607", + "accept": false, + "reason": "The attend-and-excite size limitation and a generic tensor size mismatch are not clearly the same defect." + }, + { + "left": "issue:4030", + "right": "issue:5327", + "accept": false, + "reason": "Different embedding/textual-inversion errors in different model families; not the same bug." + }, + { + "left": "issue:4107", + "right": "issue:4368", + "accept": false, + "reason": "LoRA quality degradation and LoRA training OOM are different failure modes." + }, + { + "left": "issue:10100", + "right": "issue:12358", + "accept": false, + "reason": "Two separate feature requests for different models/pipelines, not duplicates." + }, + { + "left": "issue:2202", + "right": "issue:3087", + "accept": false, + "reason": "OpenVINO pipeline support and LyCORIS support are unrelated requests." + }, + { + "left": "issue:2984", + "right": "issue:5046", + "accept": false, + "reason": "Different model/paper feature requests with no shared code-path bug." + }, + { + "left": "issue:9858", + "right": "issue:9927", + "accept": false, + "reason": "KeyError 'train' and HeaderTooLarge during controlnet training are different training failures." + }, + { + "left": "issue:10029", + "right": "issue:10398", + "accept": false, + "reason": "A missing base_layer attribute and missing target modules indicate different adapter/model-structure problems." + }, + { + "left": "issue:2266", + "right": "issue:2507", + "accept": false, + "reason": "Both are performance-related, but sequential CPU offload slowdown and safetensors loading speed are different bottlenecks." + }, + { + "left": "issue:4618", + "right": "issue:5110", + "accept": false, + "reason": "Model-usage question and HF repo-id validation error are unrelated." + }, + { + "left": "issue:11223", + "right": "issue:11674", + "accept": false, + "reason": "OOM with LoRAs under layer-wise upcasting and a request for more Wan VACE inputs are different issues." + }, + { + "left": "issue:10010", + "right": "issue:7836", + "accept": false, + "reason": "A missing FLUX model file and CLIP overfitting are completely unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 266, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10640", + "issue:10782", + "issue:11148", + "issue:11581", + "issue:11592", + "issue:11885", + "issue:12149", + "issue:12501", + "issue:1957", + "issue:2532", + "issue:2696", + "issue:2775", + "issue:3026", + "issue:3089", + "issue:3171", + "issue:3585", + "issue:3937", + "issue:4000", + "issue:4080", + "issue:447", + "issue:4478", + "issue:4551", + "issue:460", + "issue:4605", + "issue:4675", + "issue:5054", + "issue:5274", + "issue:5372", + "issue:5594", + "issue:5678", + "issue:5714", + "issue:5824", + "issue:5829", + "issue:5989", + "issue:6335", + "issue:6520", + "issue:6529", + "issue:6567", + "issue:6598", + "issue:6794", + "issue:7168", + "issue:7185", + "issue:7575", + "issue:7640", + "issue:8373", + "issue:9032", + "issue:9171" + ], + "soft_pairs": [ + "issue:1957|issue:5274", + "issue:5594|issue:6529", + "issue:5714|issue:7185", + "issue:3026|issue:3585", + "issue:7168|issue:7640", + "issue:10640|issue:6794", + "issue:3937|issue:6567", + "issue:4478|issue:4605", + "issue:2775|issue:6520", + "issue:4551|issue:5829", + "issue:11148|issue:12501", + "issue:6335|issue:6598", + "issue:5678|issue:7575", + "issue:10010|issue:9032", + "issue:10782|issue:12149", + "issue:11581|issue:11885", + "issue:11592|issue:9171", + "issue:2532|issue:5824", + "issue:2696|issue:460", + "issue:3089|issue:5989", + "issue:3171|issue:447", + "issue:4000|issue:8373", + "issue:4080|issue:4675", + "issue:5054|issue:5372" + ], + "prepared_review_unit_hash": "a2744fdbd48db0787089fad91bcebcdc5bee65272a4d19d78fd252297f9ef6bf", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34170, + "estimated_input_tokens": 8543, + "estimated_eval_tokens": 17342 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the items span unrelated bugs/features across FLUX, SDXL, PEFT, training scripts, and miscellaneous runtime issues. All suggested soft links look like false positives, so none should be merged as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1957", + "right": "issue:5274", + "accept": false, + "reason": "Both are training/runtime errors, but one is LR scheduler initialization and the other is an fp16 dtype mismatch; different failure modes and code paths." + }, + { + "left": "issue:5594", + "right": "issue:6529", + "accept": false, + "reason": "Both mention SDXL/LoRA-related workflows, but one is memory-saving fine-tuning and the other is Fooocus Inpaint integration; not the same bug." + }, + { + "left": "issue:5714", + "right": "issue:7185", + "accept": false, + "reason": "PeftModel support warning vs a pytorch-version compatibility question; unrelated issues." + }, + { + "left": "issue:3026", + "right": "issue:3585", + "accept": false, + "reason": "Different problems: accelerate launch training error for instruct-pix2pix versus loading a synthesized LoRA model." + }, + { + "left": "issue:7168", + "right": "issue:7640", + "accept": false, + "reason": "Both involve dimensions/shapes in SDXL-ish flows, but one is IP-Adapter image embeddings and the other is from_single_file size/runtime error; distinct causes." + }, + { + "left": "issue:10640", + "right": "issue:6794", + "accept": false, + "reason": "DataParallel/FluxInpaintPipeline error and an import error in training_utils are unrelated code paths." + }, + { + "left": "issue:3937", + "right": "issue:6567", + "accept": false, + "reason": "ZeroscopeXL model loading problem vs SD 1.5 text_config_dict import warning; different models and failures." + }, + { + "left": "issue:4478", + "right": "issue:4605", + "accept": false, + "reason": "SDXL input/bias type mismatch is a model inference issue, while the long-prompt-weighting inpaint error is a different pipeline-specific problem." + }, + { + "left": "issue:2775", + "right": "issue:6520", + "accept": false, + "reason": "torch._dynamo decorator/runtime failure vs blank validation images during adapter training; not the same bug." + }, + { + "left": "issue:4551", + "right": "issue:5829", + "accept": false, + "reason": "Dreambooth crash with SDXL and missing unet_time_cond_proj_dim in LCM scripts are separate SDXL training issues." + }, + { + "left": "issue:11148", + "right": "issue:12501", + "accept": false, + "reason": "PEFT adapter state handling and VAE decoder graph breaks are unrelated internals." + }, + { + "left": "issue:6335", + "right": "issue:6598", + "accept": false, + "reason": "Output-size control in ControlNet img2img versus nondeterministic img2img results; different symptoms and fixes." + }, + { + "left": "issue:5678", + "right": "issue:7575", + "accept": false, + "reason": "Higher-order derivative problems in attention_processor are not the same as Transformer2DModel adanorm shape errors." + }, + { + "left": "issue:10010", + "right": "issue:9032", + "accept": false, + "reason": "FLUX Fill example hitting a missing HF model file is unrelated to a FlaxStableDiffusionPipeline TPU setup question." + }, + { + "left": "issue:10782", + "right": "issue:12149", + "accept": false, + "reason": "Lumina Image 2.0 minor issue and pip/source mismatch for diffusers 0.34.0 are different packaging/model concerns." + }, + { + "left": "issue:11581", + "right": "issue:11885", + "accept": false, + "reason": "IP Adapter dtype constructor error in FLUX is not the same as the FLUX LoRA load_lora_weights regression." + }, + { + "left": "issue:11592", + "right": "issue:9171", + "accept": false, + "reason": "delete_adapters regression and from_single_file prediction_type regression affect different adapter/model-loading paths." + }, + { + "left": "issue:2532", + "right": "issue:5824", + "accept": false, + "reason": "StableDiffusionPanoramaPipeline get_views bug versus SDXL add_time_ids default value problem; unrelated pipeline logic." + }, + { + "left": "issue:2696", + "right": "issue:460", + "accept": false, + "reason": "No CUDA installed after package install is a different environment issue than ONNX runtime backend selection." + }, + { + "left": "issue:3089", + "right": "issue:5989", + "accept": false, + "reason": "DDPM scheduler bug and safetensors.torch bug are separate subsystems." + }, + { + "left": "issue:3171", + "right": "issue:447", + "accept": false, + "reason": "LPW prompt handling for ControlNet and prompt truncation detection are different prompt-processing concerns." + }, + { + "left": "issue:4000", + "right": "issue:8373", + "accept": false, + "reason": "Checkpoint conversion to diffusers format is unrelated to an incorrect-format error message." + }, + { + "left": "issue:4080", + "right": "issue:4675", + "accept": false, + "reason": "Adding SDXL inpainting support and ControlNet Reference Only for SDXL are distinct feature requests." + }, + { + "left": "issue:5054", + "right": "issue:5372", + "accept": false, + "reason": "Missing final_offload_hook attribute and safety_checker usage in SDXLPipeline are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 267, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10198", + "issue:10940", + "issue:11127", + "issue:11489", + "issue:11661", + "issue:1214", + "issue:1530", + "issue:2737", + "issue:4139", + "issue:4222", + "issue:4403", + "issue:4414", + "issue:4542", + "issue:4605", + "issue:4753", + "issue:5002", + "issue:5152", + "issue:5605", + "issue:5821", + "issue:5981", + "issue:5989", + "issue:6042", + "issue:6159", + "issue:6183", + "issue:6258", + "issue:6513", + "issue:6790", + "issue:7000", + "issue:7009", + "issue:7041", + "issue:7210", + "issue:7355", + "issue:7592", + "issue:7798", + "issue:8236", + "issue:8373", + "issue:8644", + "issue:8790", + "issue:8792", + "issue:8900", + "issue:9023", + "issue:9209", + "issue:9279", + "issue:9292", + "issue:9516", + "issue:962", + "issue:9856", + "issue:9953" + ], + "soft_pairs": [ + "issue:6790|issue:7592", + "issue:7041|issue:8792", + "issue:11127|issue:9856", + "issue:8644|issue:9953", + "issue:4403|issue:6159", + "issue:6183|issue:8373", + "issue:10940|issue:7210", + "issue:1214|issue:4139", + "issue:4542|issue:7355", + "issue:4753|issue:8236", + "issue:9279|issue:9292", + "issue:5152|issue:5981", + "issue:6258|issue:7009", + "issue:8900|issue:9209", + "issue:1530|issue:5002", + "issue:4414|issue:9023", + "issue:4605|issue:962", + "issue:5821|issue:7000", + "issue:2737|issue:6513", + "issue:4222|issue:5605", + "issue:5989|issue:7798", + "issue:6042|issue:8790", + "issue:11489|issue:11661", + "issue:10198|issue:9516" + ], + "prepared_review_unit_hash": "0c59f6ace2296b3e5134f0dce40a5b4f22b27654dfef9212cafc6fea537c2e06", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34057, + "estimated_input_tokens": 8515, + "estimated_eval_tokens": 17286 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All proposed soft edges look like false positives: they pair distinct bugs or feature requests that happen to share broad terminology. The set is too heterogeneous to have a safe duplicate canonical issue.", + "confidence": 0.94, + "canonical_issue_reason": "No safe canonical issue: these items span unrelated problems (Flux loading/training, scheduler APIs, precision/offload issues, sample-code failures, and even deprecation/network errors), so there is no single underlying defect to represent the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No strong best issue either; even the most Flux-centric items describe different code paths and symptoms, so picking one as the duplicate target would be misleading.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6790", + "right": "issue:7592", + "accept": false, + "reason": "Different failures: unexpected state_dict keys during LCM training vs incomplete DoRA state loading; both are checkpoint/loading bugs but not the same defect." + }, + { + "left": "issue:7041", + "right": "issue:8792", + "accept": false, + "reason": "Segfault with num_inference_steps > 1 is unrelated to image-quality degradation when migrating from A1111; different symptoms and likely different causes." + }, + { + "left": "issue:11127", + "right": "issue:9856", + "accept": false, + "reason": "Single-file Flux model loading failure is unrelated to distributed port contention; no shared code-path bug." + }, + { + "left": "issue:8644", + "right": "issue:9953", + "accept": false, + "reason": "Meta-tensor error during SD3 T5 offload is a different problem from moving a quantized pipeline to CUDA." + }, + { + "left": "issue:4403", + "right": "issue:6159", + "accept": false, + "reason": "Half-precision LayerNorm failure is not the same as ControlNetXSPipeline lacking the denoising_end argument." + }, + { + "left": "issue:6183", + "right": "issue:8373", + "accept": false, + "reason": "Incorrect output shape from_single_file is distinct from an incorrect error message; same area, different bug." + }, + { + "left": "issue:10940", + "right": "issue:7210", + "accept": false, + "reason": "Missing triton.ops import and missing named_parameters on a pipeline are unrelated code-path issues." + }, + { + "left": "issue:1214", + "right": "issue:4139", + "accept": false, + "reason": "CLIP half-precision support and custom attention-processor precision casting are different precision bugs." + }, + { + "left": "issue:4542", + "right": "issue:7355", + "accept": false, + "reason": "Image-count limitation in SDXL img2img is unrelated to Stable Cascade arbitrary-resolution/bfloat16 generation errors." + }, + { + "left": "issue:4753", + "right": "issue:8236", + "accept": false, + "reason": "Broken train_dreambooth_lora.py and wrong scheduler step count are separate training-script bugs." + }, + { + "left": "issue:9279", + "right": "issue:9292", + "accept": false, + "reason": "Dynamic LoRA loading with torch.compile and incompatible Flux LoRA keys are related to LoRA handling, but they are not the same concrete bug." + }, + { + "left": "issue:5152", + "right": "issue:5981", + "accept": false, + "reason": "W\u00fcrstchen alpha bug and DPMSolverMultistepScheduler bug are unrelated scheduler/model issues." + }, + { + "left": "issue:6258", + "right": "issue:7009", + "accept": false, + "reason": "Forward-chunking image-quality degradation in Stable Video Diffusion is not the same as poor results loading a text-to-video checkpoint." + }, + { + "left": "issue:8900", + "right": "issue:9209", + "accept": false, + "reason": "from_single_file loading for SDXL refiner is unrelated to an HF mirror connection error." + }, + { + "left": "issue:1530", + "right": "issue:5002", + "accept": false, + "reason": "Missing learned_classifier_free_sampling_embeddings and missing use_karras_sigmas are different API/compatibility gaps." + }, + { + "left": "issue:4414", + "right": "issue:9023", + "accept": false, + "reason": "Consistency Model sampling discussion and sample-code runtime failure do not describe the same issue." + }, + { + "left": "issue:4605", + "right": "issue:962", + "accept": false, + "reason": "Long-prompt weighting inpaint-model error is unrelated to inpaint pipeline size limitations." + }, + { + "left": "issue:5821", + "right": "issue:7000", + "accept": false, + "reason": "CUDA backward training failure is unrelated to a PyTorch deprecation warning in outputs.py." + }, + { + "left": "issue:2737", + "right": "issue:6513", + "accept": false, + "reason": "Scheduler support for CLIP guidance and missing T2IAdapter model support are different feature requests." + }, + { + "left": "issue:4222", + "right": "issue:5605", + "accept": false, + "reason": "Low-resolution LDM training guidance and per-image caption support are different training features, not duplicates." + }, + { + "left": "issue:5989", + "right": "issue:7798", + "accept": false, + "reason": "A safetensors.torch bug and a PixArtAlphaPipeline bug are unrelated." + }, + { + "left": "issue:6042", + "right": "issue:8790", + "accept": false, + "reason": "SDXL-turbo distillation example question and SDXL TensorRT + IP Adapter support are different requests." + }, + { + "left": "issue:11489", + "right": "issue:11661", + "accept": false, + "reason": "Flux LoRA training error and using args.max_train_steps when None in flux-control are both Flux-related, but they affect different scripts and failure modes." + }, + { + "left": "issue:10198", + "right": "issue:9516", + "accept": false, + "reason": "Flux.1-dev weight mismatch is not the same as joint_attention_kwargs not being passed to FLUX transformers; different bug classes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 268, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10066", + "issue:1055", + "issue:10650", + "issue:11169", + "issue:11659", + "issue:12126", + "issue:12565", + "issue:12645", + "issue:12995", + "issue:13162", + "issue:1444", + "issue:1709", + "issue:1909", + "issue:1919", + "issue:1922", + "issue:2098", + "issue:2838", + "issue:305", + "issue:3057", + "issue:3624", + "issue:4094", + "issue:4186", + "issue:4249", + "issue:4528", + "issue:4557", + "issue:4585", + "issue:459", + "issue:4768", + "issue:4977", + "issue:5034", + "issue:5046", + "issue:5110", + "issue:5120", + "issue:5395", + "issue:5485", + "issue:5689", + "issue:5763", + "issue:6055", + "issue:6313", + "issue:6616", + "issue:6686", + "issue:7147", + "issue:7243", + "issue:7490", + "issue:8552", + "issue:9090", + "issue:9331", + "issue:9974" + ], + "soft_pairs": [ + "issue:1909|issue:2098", + "issue:4186|issue:6686", + "issue:6313|issue:6616", + "issue:1709|issue:6055", + "issue:3624|issue:5110", + "issue:1919|issue:5120", + "issue:10650|issue:12995", + "issue:11169|issue:12645", + "issue:12126|issue:12565", + "issue:1444|issue:305", + "issue:1922|issue:5689", + "issue:2838|issue:459", + "issue:3057|issue:4249", + "issue:4094|issue:4768", + "issue:5485|issue:8552", + "issue:7490|issue:9331", + "issue:10066|issue:9974", + "issue:4585|issue:7147", + "issue:4977|issue:5034", + "issue:1055|issue:4557", + "issue:4528|issue:5763", + "issue:11659|issue:13162", + "issue:5046|issue:7243", + "issue:5395|issue:9090" + ], + "prepared_review_unit_hash": "de7defd5cbc2951d28e9953e47deab4aa1ff7fd50fd9b599f7cd09a39834c1d0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33964, + "estimated_input_tokens": 8491, + "estimated_eval_tokens": 17238 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the soft pairs share broad keywords or subsystem names, but they do not describe the same underlying bug/change. No canonical issue or PR stands out.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1909", + "right": "issue:2098", + "accept": false, + "reason": "Both mention generators/randn, but one is about schedulers accepting only a single generator while the other is a torch.randn argument error; different failure modes." + }, + { + "left": "issue:4186", + "right": "issue:6686", + "accept": false, + "reason": "SDXL inpaint/refiner behavior vs Dynamo compile save/load performance; same model family, but not the same bug or fix." + }, + { + "left": "issue:6313", + "right": "issue:6616", + "accept": false, + "reason": "Both are feature requests for new pipeline behavior, but null-text inversion and classifier guidance are distinct implementations." + }, + { + "left": "issue:1709", + "right": "issue:6055", + "accept": false, + "reason": "ONNX Tensor.astype error is unrelated to an accelerate import/runtime issue." + }, + { + "left": "issue:3624", + "right": "issue:5110", + "accept": false, + "reason": "One is a getattr type error, the other is Hugging Face repo-id validation; unrelated." + }, + { + "left": "issue:1919", + "right": "issue:5120", + "accept": false, + "reason": "Dreambooth requirements packaging issue vs a critical prior-preservation training bug; different root causes." + }, + { + "left": "issue:10650", + "right": "issue:12995", + "accept": false, + "reason": "Lumina shape mismatch during inference is unrelated to a Cosmos-Predict2.5 pipeline usage question." + }, + { + "left": "issue:11169", + "right": "issue:12645", + "accept": false, + "reason": "Binary incompatibility import failure vs inference speed comparison; not the same code-path problem." + }, + { + "left": "issue:12126", + "right": "issue:12565", + "accept": false, + "reason": "Wan2.2 cache_context NoneType error when switching transformers is different from Wan2.1 i2v running issues." + }, + { + "left": "issue:1444", + "right": "issue:305", + "accept": false, + "reason": "Both are import errors, but one is specifically StableDiffusionSafetyChecker missing and the other is a generic diffusers import problem." + }, + { + "left": "issue:1922", + "right": "issue:5689", + "accept": false, + "reason": "Undefined init_git_repo in a notebook is unrelated to DPM++ residual noise behavior." + }, + { + "left": "issue:2838", + "right": "issue:459", + "accept": false, + "reason": "ControlNet pipeline usage request vs a conceptual incremental diffusion proposal; not the same change." + }, + { + "left": "issue:3057", + "right": "issue:4249", + "accept": false, + "reason": "Conversion script import failure and check_inputs prompt_embeds validation are separate pipeline issues." + }, + { + "left": "issue:4094", + "right": "issue:4768", + "accept": false, + "reason": "Training script addition vs checkpoint saving format support; related area, but not the same bug/change." + }, + { + "left": "issue:5485", + "right": "issue:8552", + "accept": false, + "reason": "ControlNet batch inference slowness and a TextToVideoZeroPipeline segfault are unrelated." + }, + { + "left": "issue:7490", + "right": "issue:9331", + "accept": false, + "reason": "Generic backward problem vs scheduler timestep index logic; different components and symptoms." + }, + { + "left": "issue:10066", + "right": "issue:9974", + "accept": false, + "reason": "self.attn unpack ValueError is unrelated to adding expected parameters to controlnet_sd3." + }, + { + "left": "issue:4585", + "right": "issue:7147", + "accept": false, + "reason": "Documentation inconsistency about SDXL MultiControlNet is unrelated to an import error for StableCascadeDecoderPipeline." + }, + { + "left": "issue:4977", + "right": "issue:5034", + "accept": false, + "reason": "Removing checkpoints in an example script is not the same as checkpoint loading corrupting the progress bar display." + }, + { + "left": "issue:1055", + "right": "issue:4557", + "accept": false, + "reason": "Missing LatentDiffusionPipeline import and a super().__getattr__ AttributeError are different issues." + }, + { + "left": "issue:4528", + "right": "issue:5763", + "accept": false, + "reason": "LoRA quality/effectiveness complaints are unrelated to save_pretrained safetensors serialization." + }, + { + "left": "issue:11659", + "right": "issue:13162", + "accept": false, + "reason": "General LoRA load issue vs explicit Flux.2-klein-4b LoRA support request; not the same underlying problem." + }, + { + "left": "issue:5046", + "right": "issue:7243", + "accept": false, + "reason": "No-code feature proposal for DragonDiffusion vs ResAdapter paper/feature request; distinct changes." + }, + { + "left": "issue:5395", + "right": "issue:9090", + "accept": false, + "reason": "PEFT LoRA combination bug and PNDMScheduler repeated timestep bug are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 269, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10111", + "issue:10147", + "issue:10382", + "issue:10749", + "issue:1083", + "issue:10952", + "issue:11010", + "issue:11160", + "issue:1158", + "issue:11732", + "issue:1205", + "issue:12097", + "issue:1445", + "issue:1572", + "issue:1574", + "issue:1823", + "issue:2228", + "issue:2288", + "issue:2480", + "issue:2799", + "issue:3045", + "issue:3065", + "issue:3391", + "issue:3622", + "issue:3717", + "issue:3765", + "issue:4972", + "issue:5037", + "issue:5112", + "issue:5432", + "issue:5442", + "issue:5875", + "issue:6087", + "issue:6094", + "issue:6176", + "issue:6517", + "issue:6548", + "issue:6839", + "issue:7133", + "issue:720", + "issue:785", + "issue:835", + "issue:8801", + "issue:8930", + "issue:9034", + "issue:9387", + "issue:9686", + "issue:9846" + ], + "soft_pairs": [ + "issue:1574|issue:3717", + "issue:11160|issue:12097", + "issue:10111|issue:9686", + "issue:10382|issue:7133", + "issue:1083|issue:835", + "issue:10952|issue:11732", + "issue:1158|issue:2480", + "issue:1205|issue:3045", + "issue:1445|issue:5875", + "issue:2288|issue:3065", + "issue:3391|issue:6548", + "issue:5442|issue:9387", + "issue:6839|issue:9846", + "issue:4972|issue:720", + "issue:1572|issue:2799", + "issue:5037|issue:5432", + "issue:10147|issue:8801", + "issue:6094|issue:6176", + "issue:6517|issue:9034", + "issue:5112|issue:8930", + "issue:3765|issue:6087", + "issue:10749|issue:11010", + "issue:1823|issue:3622", + "issue:2228|issue:785" + ], + "prepared_review_unit_hash": "31b4a9265ff078e886c679ee292f0e2ec2489f14412c4d92dc50ae4fd1236c60", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34126, + "estimated_input_tokens": 8532, + "estimated_eval_tokens": 17320 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the soft pairs mostly share broad subsystem words but not the same underlying bug or change, so all soft edges should be rejected. The closest thing to a canonical issue is the broad FLUX bug report, but it still does not make the set a true duplicate cluster.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 10111 is the most umbrella-style, bug-focused report in the set, so it is the closest canonical issue candidate.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10111 is the best representative only in a loose sense; the rest of the items span unrelated bugs and feature requests, so there is no strong duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1574", + "right": "issue:3717", + "accept": false, + "reason": "DreamBooth single-GPU training failure vs multi-GPU OOM; different code paths and causes." + }, + { + "left": "issue:11160", + "right": "issue:12097", + "accept": false, + "reason": "WAN 2.1 inconsistent outputs vs WAN 2.2 end-of-run VRAM OOM; different model/version and symptom." + }, + { + "left": "issue:10111", + "right": "issue:9686", + "accept": false, + "reason": "Generic FLUX pipeline bugs vs SD3 ControlNet pooled-projections bug; different models/pipelines." + }, + { + "left": "issue:10382", + "right": "issue:7133", + "accept": false, + "reason": "VAE encoder return-type AttributeError vs SDXL DreamBooth LoRA checkpoint size mismatch; unrelated subsystems." + }, + { + "left": "issue:1083", + "right": "issue:835", + "accept": false, + "reason": "FP16 ONNX wrong output vs flax numpy_to_pil failure; different code paths and failure modes." + }, + { + "left": "issue:10952", + "right": "issue:11732", + "accept": false, + "reason": "Adapter-name lookup ValueError vs unpacking error in load_lora_weights; different LoRA loader bugs." + }, + { + "left": "issue:1158", + "right": "issue:2480", + "accept": false, + "reason": "pytest config interference vs DreamBooth checkpoint-folder layout; unrelated test/training issues." + }, + { + "left": "issue:1205", + "right": "issue:3045", + "accept": false, + "reason": "SD-to-ONNX conversion vs LoRA-to-diffusers conversion; different directions and pipelines." + }, + { + "left": "issue:1445", + "right": "issue:5875", + "accept": false, + "reason": "ONNX inpaint AttributeError vs SDXL ONNX prompt conversion error; separate ONNX pipeline problems." + }, + { + "left": "issue:2288", + "right": "issue:3065", + "accept": false, + "reason": "InstructPix2Pix training-script addition vs LoRA text-encoder tuning option; feature requests, not the same change." + }, + { + "left": "issue:3391", + "right": "issue:6548", + "accept": false, + "reason": "DeepFloyd SR overexposure with PIL input vs RGBA image misclassified as latents in img2img; related image handling but distinct bugs." + }, + { + "left": "issue:5442", + "right": "issue:9387", + "accept": false, + "reason": "ScaleCrafter pipeline vs MimicMotion pipeline; unrelated model-support work." + }, + { + "left": "issue:6839", + "right": "issue:9846", + "accept": false, + "reason": "StableVideoDiffusion from_single_file support vs FluxControlNetModel from_single_file support; same API gap but different concrete code paths/models." + }, + { + "left": "issue:4972", + "right": "issue:720", + "accept": false, + "reason": "Wuerstchen example runtime failure vs traced UNet half/float dtype mismatch; different examples and causes." + }, + { + "left": "issue:1572", + "right": "issue:2799", + "accept": false, + "reason": "stable_diffusion_mega img2img/inpainting breakage vs checkpoint-pipeline mismatch error handling; different validation problems." + }, + { + "left": "issue:5037", + "right": "issue:5432", + "accept": false, + "reason": "Second validation-image argument error vs blank validation images; related area but different bugs." + }, + { + "left": "issue:10147", + "right": "issue:8801", + "accept": false, + "reason": "MV-Adapter multi-view support vs Kolors support; unrelated model-support requests." + }, + { + "left": "issue:6094", + "right": "issue:6176", + "accept": false, + "reason": "TextToVideoZeroPipeline regression after 0.24 vs LoRA loading after dreambooth_lora training; unrelated regressions." + }, + { + "left": "issue:6517", + "right": "issue:9034", + "accept": false, + "reason": "ControlNet SDXL import failure vs missing sentencepiece dependency; different import/dependency issues." + }, + { + "left": "issue:5112", + "right": "issue:8930", + "accept": false, + "reason": "float tensor shape construction error in SDXL ControlNet img2img vs pose control not respected; separate bugs in the same family." + }, + { + "left": "issue:3765", + "right": "issue:6087", + "accept": false, + "reason": "ControlNet training stacking effect vs LoRAConfig save/load alpha mismatch; different training/config persistence problems." + }, + { + "left": "issue:10749", + "right": "issue:11010", + "accept": false, + "reason": "GGUF support for Lumina2 vs Chroma support; distinct model-support features." + }, + { + "left": "issue:1823", + "right": "issue:3622", + "accept": false, + "reason": "Swapped comments in depth2img vs tutorial import error; documentation cleanup vs runtime import bug." + }, + { + "left": "issue:2228", + "right": "issue:785", + "accept": false, + "reason": "GPU placement issue in from_pretrained vs PNDMScheduler performance cost; different pipeline behaviors." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 270, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10107", + "issue:10869", + "issue:10950", + "issue:10962", + "issue:11022", + "issue:11035", + "issue:11222", + "issue:11630", + "issue:11642", + "issue:12574", + "issue:13203", + "issue:1742", + "issue:2221", + "issue:228", + "issue:2392", + "issue:2646", + "issue:2780", + "issue:3284", + "issue:3622", + "issue:3624", + "issue:3698", + "issue:3805", + "issue:4125", + "issue:4213", + "issue:4436", + "issue:4680", + "issue:4752", + "issue:5044", + "issue:5274", + "issue:5510", + "issue:579", + "issue:5989", + "issue:6142", + "issue:6164", + "issue:6399", + "issue:6958", + "issue:7535", + "issue:756", + "issue:8469", + "issue:852", + "issue:8557", + "issue:8752", + "issue:8826", + "issue:8939", + "issue:9309", + "issue:941", + "issue:9958", + "issue:9979" + ], + "soft_pairs": [ + "issue:228|issue:3622", + "issue:3624|issue:6142", + "issue:3698|issue:4680", + "issue:4436|issue:5989", + "issue:4752|issue:7535", + "issue:10962|issue:12574", + "issue:11642|issue:8939", + "issue:3284|issue:3805", + "issue:5510|issue:6164", + "issue:1742|issue:2392", + "issue:2221|issue:579", + "issue:2646|issue:5044", + "issue:4125|issue:5274", + "issue:4213|issue:8752", + "issue:10107|issue:8557", + "issue:10950|issue:8469", + "issue:9309|issue:9979", + "issue:11022|issue:13203", + "issue:10869|issue:8826", + "issue:11035|issue:9958", + "issue:11222|issue:11630", + "issue:2780|issue:756", + "issue:6399|issue:6958", + "issue:852|issue:941" + ], + "prepared_review_unit_hash": "af6e8347c23a01b3d2a751944b9f2b622d516bff6cdc8750298641004cb0b483", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34024, + "estimated_input_tokens": 8506, + "estimated_eval_tokens": 17268 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is a collection of mostly unrelated issues; the soft pairs share only superficial keyword overlap and should not be deduplicated. No PRs are present.", + "confidence": 0.68, + "canonical_issue_reason": "issue:12574 is the strongest standalone issue here: it is concrete, well-scoped, and describes a specific failing code path in the WanVideoToVideo/VACE control-argument handling.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12574 is the best representative issue overall because it has the clearest reproduction context and the most actionable bug description among this heterogeneous set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:228", + "right": "issue:3622", + "accept": false, + "reason": "Broken release link vs tutorial import error; different problem, no shared code path." + }, + { + "left": "issue:3624", + "right": "issue:6142", + "accept": false, + "reason": "Different exceptions in different contexts: getattr TypeError vs undefined start_training NameError." + }, + { + "left": "issue:3698", + "right": "issue:4680", + "accept": false, + "reason": "One is model conversion to diffusers, the other is SDXL inpainting fine-tuning; same area only in the broadest sense." + }, + { + "left": "issue:4436", + "right": "issue:5989", + "accept": false, + "reason": "Safetensors/VAE conversion request vs a safetensors.torch bug report; not the same underlying failure." + }, + { + "left": "issue:4752", + "right": "issue:7535", + "accept": false, + "reason": "Runtime dtype mismatch in SDXL pipeline vs typing incompatibility; one runtime bug, one type-hint issue." + }, + { + "left": "issue:10962", + "right": "issue:12574", + "accept": false, + "reason": "Different models and failures: CogView4 prompt-embed shape handling vs WanVideoToVideo control-argument handling." + }, + { + "left": "issue:11642", + "right": "issue:8939", + "accept": false, + "reason": "Prompt scaling no-op in FluxPriorReduxPipeline vs tokenizer loading failure; unrelated bugs." + }, + { + "left": "issue:3284", + "right": "issue:3805", + "accept": false, + "reason": "General training/accelerate failure vs a Colab subprocess error; too broad and not the same concrete issue." + }, + { + "left": "issue:5510", + "right": "issue:6164", + "accept": false, + "reason": "Half/float bias mismatch in one pipeline vs latent output handling in another; different code paths." + }, + { + "left": "issue:1742", + "right": "issue:2392", + "accept": false, + "reason": "Inference-speed variability vs prompt_embeds API ValueError; unrelated behavior." + }, + { + "left": "issue:2221", + "right": "issue:579", + "accept": false, + "reason": "ColossalAI error vs missing config.json for textual inversion; no meaningful overlap." + }, + { + "left": "issue:2646", + "right": "issue:5044", + "accept": false, + "reason": "Tiled VAE IndexError vs Kandinsky 2.2 load failure; different components and symptoms." + }, + { + "left": "issue:4125", + "right": "issue:5274", + "accept": false, + "reason": "Loss-curve question vs fp16 dtype training error; not the same bug." + }, + { + "left": "issue:4213", + "right": "issue:8752", + "accept": false, + "reason": "Both mention from_single_file, but one is accelerate dependency behavior and the other is offline model loading; distinct issues." + }, + { + "left": "issue:10107", + "right": "issue:8557", + "accept": false, + "reason": "Gradient checkpointing during validation vs SD3 token limit in training; unrelated." + }, + { + "left": "issue:10950", + "right": "issue:8469", + "accept": false, + "reason": "Documentation breakage vs broken face outputs; different artifact types and root causes." + }, + { + "left": "issue:9309", + "right": "issue:9979", + "accept": false, + "reason": "Both are Flux ControlNet-related, but one is a schnell pipeline bug and the other is a channels error; not clearly the same fix." + }, + { + "left": "issue:11022", + "right": "issue:13203", + "accept": false, + "reason": "WAN Quanto support request vs Zimage LoRA support issue; different models and features." + }, + { + "left": "issue:10869", + "right": "issue:8826", + "accept": false, + "reason": "Meta-tensor .item() crash vs torch.cat on empty list; separate runtime errors." + }, + { + "left": "issue:11035", + "right": "issue:9958", + "accept": false, + "reason": "from_single_file download symlink option vs temporal VAE tiling support; unrelated." + }, + { + "left": "issue:11222", + "right": "issue:11630", + "accept": false, + "reason": "WAN LoRA support breadth request vs WanVACETransformer3DModel.from_single_file support; related ecosystem, but not the same concrete bug/change." + }, + { + "left": "issue:2780", + "right": "issue:756", + "accept": false, + "reason": "FP16 unscale error in training vs a deprecation-tuple argument issue; different failure modes." + }, + { + "left": "issue:6399", + "right": "issue:6958", + "accept": false, + "reason": "LoRA visibility in external UIs vs a mid_block projection-setting bug; not the same issue." + }, + { + "left": "issue:852", + "right": "issue:941", + "accept": false, + "reason": "MPS device_map keyword error vs MPS num_images_per_prompt noise; both platform-related, but distinct bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 271, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10672", + "issue:1083", + "issue:10883", + "issue:10967", + "issue:1106", + "issue:1161", + "issue:11859", + "issue:1205", + "issue:12147", + "issue:122", + "issue:13203", + "issue:1451", + "issue:1798", + "issue:1811", + "issue:1896", + "issue:2107", + "issue:2548", + "issue:2676", + "issue:2856", + "issue:3087", + "issue:3296", + "issue:3405", + "issue:3431", + "issue:3683", + "issue:3974", + "issue:4059", + "issue:4665", + "issue:5168", + "issue:5368", + "issue:542", + "issue:5567", + "issue:5576", + "issue:5757", + "issue:5824", + "issue:5984", + "issue:599", + "issue:6054", + "issue:7238", + "issue:7370", + "issue:757", + "issue:7661", + "issue:7877", + "issue:8309", + "issue:8826", + "issue:9216", + "issue:9551", + "issue:9637", + "issue:9957" + ], + "soft_pairs": [ + "issue:2107|issue:3431", + "issue:5757|issue:5984", + "issue:5576|issue:8309", + "issue:7238|issue:7661", + "issue:10672|issue:7877", + "issue:122|issue:2856", + "issue:2548|issue:3296", + "issue:599|issue:757", + "issue:6054|issue:8826", + "issue:10883|issue:9216", + "issue:10967|issue:9551", + "issue:2676|issue:4059", + "issue:3087|issue:3974", + "issue:5368|issue:9637", + "issue:1161|issue:1798", + "issue:5168|issue:7370", + "issue:1451|issue:1896", + "issue:12147|issue:13203", + "issue:5567|issue:5824", + "issue:1083|issue:1205", + "issue:1106|issue:542", + "issue:11859|issue:9957", + "issue:1811|issue:4665", + "issue:3405|issue:3683" + ], + "prepared_review_unit_hash": "61fe4cc0534a966f0300d89bf5b6d1afd2733bf49eef277e10c134185ead0a53", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33776, + "estimated_input_tokens": 8444, + "estimated_eval_tokens": 17144 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is not a coherent duplicate cluster: it mixes unrelated issues across schedulers, LoRA/training, ControlNet, ONNX/export, and assorted feature requests. None of the proposed soft edges look like the same underlying bug or change.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out because the items are thematically unrelated; this is not a true duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a good representative for deduplication purposes, since the cluster spans unrelated reports and feature requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2107", + "right": "issue:3431", + "accept": false, + "reason": "Both mention image artifacts, but one is a low-resolution rendering bug and the other is poor inpainting+ControlNet quality; different failure modes." + }, + { + "left": "issue:5757", + "right": "issue:5984", + "accept": false, + "reason": "Both are training resume/memory-related, but one is a checkpoint resume error and the other is fp16 Colab RAM usage; not the same bug." + }, + { + "left": "issue:5576", + "right": "issue:8309", + "accept": false, + "reason": "Both are scheduler-related requests, but they ask for different algorithms and different functionality." + }, + { + "left": "issue:7238", + "right": "issue:7661", + "accept": false, + "reason": "Both involve IP-Adapter, but one is masking support and the other is constructing an AnimateDiff pipeline with IP-Adapter-loaded UNet; distinct changes." + }, + { + "left": "issue:10672", + "right": "issue:7877", + "accept": false, + "reason": "One is about callback support in follow-up pipelines, the other is an Attention block API enhancement; unrelated." + }, + { + "left": "issue:122", + "right": "issue:2856", + "accept": false, + "reason": "Both are conversion/runtime issues, but one is a Python exceptions import error during training and the other is Stable Diffusion to diffusers conversion failure." + }, + { + "left": "issue:2548", + "right": "issue:3296", + "accept": false, + "reason": "Both concern LoRA training workflows, but one is a save error and the other is checkpoint save/load with text_encoder; different code paths." + }, + { + "left": "issue:599", + "right": "issue:757", + "accept": false, + "reason": "One requests Deepspeed integration, the other attention splicing for textual inversion; not the same feature." + }, + { + "left": "issue:6054", + "right": "issue:8826", + "accept": false, + "reason": "Both are runtime errors, but one is a scheduler timesteps NumPy/torch misuse and the other is a torch.cat empty-list error; unrelated causes." + }, + { + "left": "issue:10883", + "right": "issue:9216", + "accept": false, + "reason": "Both are broad feature/update requests, but one is Marigold/model/docs updates and the other is a multi-model pipeline; different changes." + }, + { + "left": "issue:10967", + "right": "issue:9551", + "accept": false, + "reason": "Both are model-integration requests, but they target different models and pipelines." + }, + { + "left": "issue:2676", + "right": "issue:4059", + "accept": false, + "reason": "Both relate to pipeline questions/bugs, but one asks about scheduler names and the other is a ControlNet reference pipeline bug plus a new inpaint/img2img variant." + }, + { + "left": "issue:3087", + "right": "issue:3974", + "accept": false, + "reason": "Both concern model-support/loading, but LyCORIS support and safetensors loading in ControlNet inpaint are different problems." + }, + { + "left": "issue:5368", + "right": "issue:9637", + "accept": false, + "reason": "Both involve attention dtype/mask issues, but one is a generic fp16 dtype mismatch and the other is an xFormers mask failure with bfloat16 and sequence-length constraints." + }, + { + "left": "issue:1161", + "right": "issue:1798", + "accept": false, + "reason": "One is about Flax-to-PyTorch conversion, the other is Flax dreambooth training lacking v_prediction support; different issues." + }, + { + "left": "issue:5168", + "right": "issue:7370", + "accept": false, + "reason": "Both are requests to add model/pipeline support, but they are for different architectures and use cases." + }, + { + "left": "issue:1451", + "right": "issue:1896", + "accept": false, + "reason": "Both are about running Stable Diffusion examples, but one is a Flax pipeline example and the other is CLIP-guided Stable Diffusion with a dict/size error." + }, + { + "left": "issue:12147", + "right": "issue:13203", + "accept": false, + "reason": "Both mention LoRA support/load problems, but they concern different model families and failure points." + }, + { + "left": "issue:5567", + "right": "issue:5824", + "accept": false, + "reason": "Both involve UNet/SDXL internals, but one is accelerator.prepare overwriting unet.config and the other is add_time_ids projection-dim default handling." + }, + { + "left": "issue:1083", + "right": "issue:1205", + "accept": false, + "reason": "Both are ONNX-related, but one reports incorrect FP16 ONNX output while the other is SD model conversion to ONNX; not the same bug." + }, + { + "left": "issue:1106", + "right": "issue:542", + "accept": false, + "reason": "Both mention model invocation/export behavior, but one is PNDM repeatedly calling UNet and the other is a UNet ONNX export issue." + }, + { + "left": "issue:11859", + "right": "issue:9957", + "accept": false, + "reason": "Both are scheduler feature requests, but they are for different schedulers and distinct implementations." + }, + { + "left": "issue:1811", + "right": "issue:4665", + "accept": false, + "reason": "Both concern weight file selection/loading, but one is from_pretrained downloading both .bin and .safetensors and the other is a Windows-specific use_safetensors failure with alternate .bin files." + }, + { + "left": "issue:3405", + "right": "issue:3683", + "accept": false, + "reason": "Both are ControlNet training/save topics, but one is a training bug and the other is implementing save_pretrained for Multi-ControlNet." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 272, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10057", + "issue:10066", + "issue:10120", + "issue:10653", + "issue:10659", + "issue:1109", + "issue:1158", + "issue:11978", + "issue:12412", + "issue:1556", + "issue:1895", + "issue:2514", + "issue:2822", + "issue:3886", + "issue:3891", + "issue:4149", + "issue:4186", + "issue:4217", + "issue:4269", + "issue:4492", + "issue:4530", + "issue:4773", + "issue:5002", + "issue:5128", + "issue:5258", + "issue:5595", + "issue:5628", + "issue:5646", + "issue:5907", + "issue:5989", + "issue:6347", + "issue:6368", + "issue:6536", + "issue:6899", + "issue:7686", + "issue:7931", + "issue:8526", + "issue:8667", + "issue:8873", + "issue:8970", + "issue:9142", + "issue:9471", + "issue:9645", + "issue:9664", + "issue:9704", + "issue:9763", + "issue:9793", + "issue:9942" + ], + "soft_pairs": [ + "issue:5989|issue:6899", + "issue:9645|issue:9942", + "issue:5258|issue:7931", + "issue:10120|issue:6536", + "issue:1109|issue:1556", + "issue:11978|issue:12412", + "issue:8526|issue:8970", + "issue:4186|issue:4530", + "issue:2514|issue:4217", + "issue:3891|issue:6347", + "issue:4149|issue:8667", + "issue:8873|issue:9664", + "issue:5595|issue:7686", + "issue:10057|issue:9763", + "issue:4773|issue:5128", + "issue:6368|issue:9793", + "issue:2822|issue:4269", + "issue:5628|issue:5646", + "issue:1158|issue:3886", + "issue:10066|issue:9471", + "issue:10653|issue:10659", + "issue:5002|issue:5907", + "issue:1895|issue:4492", + "issue:9142|issue:9704" + ], + "prepared_review_unit_hash": "557233c3e8240000a1827a91087b8f3c04690e21f29d23d96ef58df145d8e2d9", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34172, + "estimated_input_tokens": 8543, + "estimated_eval_tokens": 17342 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a false-positive cluster of unrelated issues linked by superficial keyword overlap (Flux, token, scheduler, loading, MPS, pipeline, etc.). I would not merge any of the soft pairs.", + "confidence": 0.92, + "canonical_issue_reason": "issue:9763 is the most detailed and actionable report in the set, with a concrete Flux-related failure and substantial reproduction context.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9763 is the strongest representative issue overall because it has the richest problem description and the clearest technical signal.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5989", + "right": "issue:6899", + "accept": false, + "reason": "Both are bug reports around loading/conversion, but they concern different code paths and different failures; too broad to be the same issue." + }, + { + "left": "issue:9645", + "right": "issue:9942", + "accept": false, + "reason": "One is an import error for a loader mixin, the other is a package install/version problem; unrelated root causes." + }, + { + "left": "issue:5258", + "right": "issue:7931", + "accept": false, + "reason": "Both mention SDXL controlnet/inpaint, but one is about refiner interaction and the other about IP-Adapter embeds; different bugs." + }, + { + "left": "issue:10120", + "right": "issue:6536", + "accept": false, + "reason": "Both involve memory/OOM, but one is DreamBooth on SD3 and the other is UNet3DConditionModel fine-tuning; not the same problem." + }, + { + "left": "issue:1109", + "right": "issue:1556", + "accept": false, + "reason": "CPU-core utilization and black GPU images are unrelated symptoms with no shared failure mode." + }, + { + "left": "issue:11978", + "right": "issue:12412", + "accept": false, + "reason": "Both are feature requests for new models, but they target different pipelines/models and are not the same change." + }, + { + "left": "issue:8526", + "right": "issue:8970", + "accept": false, + "reason": "Both are MPS-related, but one is ineffective scale handling in SD3 and the other is black output in Kolors; different code paths." + }, + { + "left": "issue:4186", + "right": "issue:4530", + "accept": false, + "reason": "Both involve SDXL refiner, but one is a functional inpaint/refiner failure and the other is image artifacts; not clearly the same bug." + }, + { + "left": "issue:2514", + "right": "issue:4217", + "accept": false, + "reason": "Both are loading-performance complaints, but one is cached pipeline load time and the other is safetensors load time; likely different causes." + }, + { + "left": "issue:3891", + "right": "issue:6347", + "accept": false, + "reason": "These are separate model-addition requests for different TTS/audio-related pipelines, not one underlying feature." + }, + { + "left": "issue:4149", + "right": "issue:8667", + "accept": false, + "reason": "Both mention tensor mismatches, but they affect different pipelines and triggers; too generic to treat as duplicate." + }, + { + "left": "issue:8873", + "right": "issue:9664", + "accept": false, + "reason": "xformers performance on A100 and a subprocess failure in a DreamBooth script are unrelated." + }, + { + "left": "issue:5595", + "right": "issue:7686", + "accept": false, + "reason": "One is an image-size divisibility validation error, the other is a UNet cross-attention configuration error; distinct bugs." + }, + { + "left": "issue:10057", + "right": "issue:9763", + "accept": false, + "reason": "Both are Flux/token-related, but one is about from_single_file loading and the other is token truncation during Flux ControlNet training; not the same issue." + }, + { + "left": "issue:4773", + "right": "issue:5128", + "accept": false, + "reason": "Both involve loading LoRA/model files, but the reported failures are different and not enough to imply a shared root cause." + }, + { + "left": "issue:6368", + "right": "issue:9793", + "accept": false, + "reason": "Checkpoint/layer compatibility and progress-bar update behavior are unrelated." + }, + { + "left": "issue:2822", + "right": "issue:4269", + "accept": false, + "reason": "Training convergence slowdown and a TypeError in check_inputs are different kinds of issues." + }, + { + "left": "issue:5628", + "right": "issue:5646", + "accept": false, + "reason": "Both are scheduler-related stability reports, but they involve different schedulers, symptoms, and contexts." + }, + { + "left": "issue:1158", + "right": "issue:3886", + "accept": false, + "reason": "Test interference and distributed training timeout are unrelated." + }, + { + "left": "issue:10066", + "right": "issue:9471", + "accept": false, + "reason": "A tensor unpacking ValueError and a file-extension inference error are not the same bug." + }, + { + "left": "issue:10653", + "right": "issue:10659", + "accept": false, + "reason": "One is a bitsandbytes .to(cpu) limitation, the other is a ConsisID output-quality complaint; no shared failure mode." + }, + { + "left": "issue:5002", + "right": "issue:5907", + "accept": false, + "reason": "Both concern scheduler API arguments, but they affect different schedulers and different parameters; not the same concrete defect." + }, + { + "left": "issue:1895", + "right": "issue:4492", + "accept": false, + "reason": "EMA multi-GPU update behavior and a lowercase-boolean NameError are unrelated." + }, + { + "left": "issue:9142", + "right": "issue:9704", + "accept": false, + "reason": "Multiple controlnet loading and cuDNN execution-plan errors are separate runtime problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 273, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10315", + "issue:1055", + "issue:10674", + "issue:10749", + "issue:10757", + "issue:10782", + "issue:10887", + "issue:10962", + "issue:11005", + "issue:11022", + "issue:1117", + "issue:11214", + "issue:11321", + "issue:11779", + "issue:11833", + "issue:11901", + "issue:12071", + "issue:12299", + "issue:2026", + "issue:2613", + "issue:2891", + "issue:3761", + "issue:3805", + "issue:3816", + "issue:4314", + "issue:4840", + "issue:5016", + "issue:5628", + "issue:5630", + "issue:5737", + "issue:5984", + "issue:6427", + "issue:7147", + "issue:7621", + "issue:7798", + "issue:801", + "issue:8514", + "issue:8792", + "issue:9023", + "issue:9052", + "issue:9181", + "issue:9241", + "issue:9320", + "issue:9422", + "issue:962", + "issue:9850", + "issue:9867" + ], + "soft_pairs": [ + "issue:4840|issue:9052", + "issue:5737|issue:9850", + "issue:2026|issue:2891", + "issue:3761|issue:4314", + "issue:3805|issue:5984", + "issue:5016|issue:5984", + "issue:10962|issue:12299", + "issue:5630|issue:9181", + "issue:5628|issue:8792", + "issue:801|issue:962", + "issue:9023|issue:9422", + "issue:10315|issue:8514", + "issue:11779|issue:9867", + "issue:6427|issue:7621", + "issue:1055|issue:3816", + "issue:10674|issue:10749", + "issue:10757|issue:7147", + "issue:10782|issue:11005", + "issue:10887|issue:9241", + "issue:11022|issue:11901", + "issue:1117|issue:2613", + "issue:11214|issue:12071", + "issue:11321|issue:7798", + "issue:11833|issue:9320" + ], + "prepared_review_unit_hash": "b417388ed4f2115335cc51b324b9e3f6af62efd21fdad44618efa549fc7f937f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33212, + "estimated_input_tokens": 8303, + "estimated_eval_tokens": 16862 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a false-positive mix of unrelated issues across different pipelines, training scripts, and model features. 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distinct issues." + }, + { + "left": "issue:10315", + "right": "issue:8514", + "accept": false, + "reason": "Different training contexts and failures: CogVideo training error vs EMAModel causing InstructP2P parallel fine-tuning error." + }, + { + "left": "issue:11779", + "right": "issue:9867", + "accept": false, + "reason": "Different inpainting bugs: incorrect mask padding in Wan VACE vs FluxInpaintPipeline overwriting pixels outside the mask." + }, + { + "left": "issue:6427", + "right": "issue:7621", + "accept": false, + "reason": "Different conversion vs inference bugs: diffusers-to-ckpt conversion failure vs SDXL InstructPix2Pix compatibility with cosxl_edit." + }, + { + "left": "issue:1055", + "right": "issue:3816", + "accept": false, + "reason": "Both are import-related, but one is missing LatentDiffusionPipeline and the other is missing CLIPImageProcessor from transformers." + }, + { + "left": "issue:10674", + "right": "issue:10749", + "accept": false, + "reason": "Related only by GGUF support, but they concern different pipelines (FluxPipeline vs Lumina2) and likely different code paths." + }, + { + "left": "issue:10757", + "right": "issue:7147", + "accept": false, + "reason": "Different conversion/import concerns: a variable rename in a conversion script vs missing StableCascadeDecoderPipeline import." + }, + { + "left": "issue:10782", + "right": "issue:11005", + "accept": false, + "reason": "Different Lumina minor issue vs a docstring/default discrepancy in WAN I2V script." + }, + { + "left": "issue:10887", + "right": "issue:9241", + "accept": false, + "reason": "Different topics: missing StableDiffusionXLTrainer import vs converting XLab LoRA to diffusers LoRA." + }, + { + "left": "issue:11022", + "right": "issue:11901", + "accept": false, + "reason": "Different support requests around WAN/LoRA tooling; not the same bug or fix." + }, + { + "left": "issue:1117", + "right": "issue:2613", + "accept": false, + "reason": "One asks for tests for multiple negative prompts; the other requests support for multiple LoRA layers." + }, + { + "left": "issue:11214", + "right": "issue:12071", + "accept": false, + "reason": "Different model/runtime failures: UVit2DModel forward keyword error vs Flux Kontext transformer forward behavior change." + }, + { + "left": "issue:11321", + "right": "issue:7798", + "accept": false, + "reason": "Readme documentation bug for flux controlnet training vs a PixArtAlphaPipeline bug; unrelated." + }, + { + "left": "issue:11833", + "right": "issue:9320", + "accept": false, + "reason": "Both involve loading/saving LoRA or finetuned models, but one is a KeyError in set_lora_device and the other is custom diffusion save/load behavior." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 274, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11867", + "issue:1379", + "issue:1440", + "issue:1611", + "issue:1730", + "issue:1805", + "issue:1896", + "issue:1985", + "issue:1990", + "issue:2015", + "issue:2312", + "issue:2351", + "issue:2412", + "issue:2614", + "issue:2689", + "issue:2838", + "issue:3017", + "issue:3062", + "issue:3065", + "issue:3176", + "issue:3291", + "issue:337", + "issue:3412", + "issue:3444", + "issue:3487", + "issue:3730", + "issue:3765", + "issue:3788", + "issue:3805", + "issue:3826", + "issue:3891", + "issue:3951", + "issue:4057", + "issue:4405", + "issue:4580", + "issue:4872", + "issue:5026", + "issue:5956", + "issue:6132", + "issue:6331", + "issue:6548", + "issue:6949", + "issue:7119", + "issue:713", + "issue:7392", + "issue:7405", + "issue:8887", + "issue:938" + ], + "soft_pairs": [ + "issue:11867|issue:8887", + "issue:1379|issue:3062", + "issue:1440|issue:2614", + "issue:1611|issue:5026", + "issue:1730|issue:4057", + "issue:1805|issue:938", + "issue:1896|issue:337", + "issue:1985|issue:2838", + "issue:1990|issue:2015", + "issue:2312|issue:4580", + "issue:2351|issue:6548", + "issue:2412|issue:713", + "issue:2689|issue:7119", + "issue:3017|issue:3412", + "issue:3065|issue:4405", + "issue:3176|issue:3951", + "issue:3291|issue:7392", + "issue:3444|issue:3788", + "issue:3487|issue:6949", + "issue:3730|issue:6331", + "issue:3765|issue:5956", + "issue:3805|issue:4872", + "issue:3826|issue:7405", + "issue:3891|issue:6132" + ], + "prepared_review_unit_hash": "ce49b61b98c8d20ee14ab7d6d8fa406655c5556d68bef9bc31e137540a831b14", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33427, + "estimated_input_tokens": 8357, + "estimated_eval_tokens": 16970 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated bugs, feature requests, docs items, and pipeline proposals. 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different changes." + }, + { + "left": "issue:1896", + "right": "issue:337", + "accept": false, + "reason": "CLIP-guided SD size/type error is unrelated to img2img/inpainting problems." + }, + { + "left": "issue:1985", + "right": "issue:2838", + "accept": false, + "reason": "Loading embeddings on the pipeline is a different feature request than controlnet pipeline behavior." + }, + { + "left": "issue:1990", + "right": "issue:2015", + "accept": false, + "reason": "Depth2ImgVariation and categorical diffusion are distinct pipeline proposals." + }, + { + "left": "issue:2312", + "right": "issue:4580", + "accept": false, + "reason": "EMA save-hook error during finetuning is unrelated to UniPC Karras-sigmas scheduling exceptions." + }, + { + "left": "issue:2351", + "right": "issue:6548", + "accept": false, + "reason": "Missing get_velocity on DEISMultistepScheduler is unrelated to RGBA image handling in prepare_latents." + }, + { + "left": "issue:2412", + "right": "issue:713", + "accept": false, + "reason": "Dreambooth error and generic training error are too broad and not the same concrete bug." + }, + { + "left": "issue:2689", + "right": "issue:7119", + "accept": false, + "reason": "Broken image link vs invalid docs link are both link problems, but not the same artifact or fix." + }, + { + "left": "issue:3017", + "right": "issue:3412", + "accept": false, + "reason": "Both are docs-related, but one asks for distributed inference docs and the other is a specific next-steps doc update." + }, + { + "left": "issue:3065", + "right": "issue:4405", + "accept": false, + "reason": "DreamBooth LoRA tuning feature and SDXL textual inversion training script are different example additions." + }, + { + "left": "issue:3176", + "right": "issue:3951", + "accept": false, + "reason": "TensorRT demo error and UniDiffuser NaNs are separate runtime issues." + }, + { + "left": "issue:3291", + "right": "issue:7392", + "accept": false, + "reason": "Deepfloyd aspect-ratio support and SDXL multi-aspect-ratio training are related broadly, but not the same request or bug." + }, + { + "left": "issue:3444", + "right": "issue:3788", + "accept": false, + "reason": "Audio2image via ImageBind/UnCLIP and UniControl are different new pipeline proposals." + }, + { + "left": "issue:3487", + "right": "issue:6949", + "accept": false, + "reason": "Both involve sampling quality, but one is poor inpainting with EulerAncestral and the other is blank images on even steps in DPMSolverSinglestepScheduler." + }, + { + "left": "issue:3730", + "right": "issue:6331", + "accept": false, + "reason": "Wrong inpainting timestep blending is a concrete scheduler/blending bug; 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none of the soft-similarity pairs look like safe duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4075", + "right": "issue:4803", + "accept": false, + "reason": "Docstring typo in ShapEImg2ImgPipeline vs a requirements-file open error; unrelated failures." + }, + { + "left": "issue:4186", + "right": "issue:962", + "accept": false, + "reason": "Both mention inpaint, but one is SDXL refiner behavior and the other is 512x512 size support; different bugs." + }, + { + "left": "issue:4213", + "right": "issue:6055", + "accept": false, + "reason": "Both involve accelerate, but one is from_single_file() loading without it and the other is a generic accelerate error; not the same code path." + }, + { + "left": "issue:4524", + "right": "issue:5866", + "accept": false, + "reason": "AnimateDiff library support vs AnimateDiff+ControlNet compatibility; too broad and not one concrete fix." + }, + { + "left": "issue:4648", + "right": "issue:8906", + "accept": false, + "reason": "Missing config.json on load vs a qk_norm architecture question in SD3; unrelated." + }, + { + "left": "issue:4668", + "right": "issue:6524", + "accept": false, + "reason": "Different LoRA bugs: weird outputs for Kohya-style LoRA vs reloading a LoRA a second time." + }, + { + "left": "issue:4672", + "right": "issue:8540", + "accept": false, + "reason": "Both are training-related, but one is VRAM reduction for SDXL LoRA and the other is SD3 DreamBooth embedding/VAE caching; different changes." + }, + { + "left": "issue:4680", + "right": "issue:5980", + "accept": false, + "reason": "SDXL inpainting fine-tuning vs ControlNet SDXL model file format question; unrelated." + }, + { + "left": "issue:4991", + "right": "issue:6958", + "accept": false, + "reason": "Accelerate dataloader wiring bug vs missing use_linear_projection in unet_motion_model; different subsystems." + }, + { + "left": "issue:5258", + "right": "issue:8241", + "accept": false, + "reason": "ControlNet refiner support vs LEDITS++ model size anomaly; no common underlying bug." + }, + { + "left": "issue:5285", + "right": "issue:6928", + "accept": false, + "reason": "Docs translation request vs adding a depthmap colorization toggle; unrelated." + }, + { + "left": "issue:5598", + "right": "issue:5981", + "accept": false, + "reason": "Different code paths: _modify_text_encoder bug vs DPMSolverMultistepScheduler bug." + }, + { + "left": "issue:5783", + "right": "issue:8588", + "accept": false, + "reason": "SDXL EMA training issue vs missing SD3 conversion script; unrelated." + }, + { + "left": "issue:6141", + "right": "issue:8390", + "accept": false, + "reason": "ControlNet parameter support request vs Stable Cascade ControlNet training topic; not the same fix." + }, + { + "left": "issue:6242", + "right": "issue:7879", + "accept": false, + "reason": "Dataset/log request on fill50k vs pokemon-blip-captions dataset issue; unrelated." + }, + { + "left": "issue:6354", + "right": "issue:9958", + "accept": false, + "reason": "LoRA support for ControlNet vs AutoencoderKLTemporalDecoder tiling support; different features." + }, + { + "left": "issue:6359", + "right": "issue:7341", + "accept": false, + "reason": "Scheduler v_prediction bug vs TorchVersion/Version comparison TypeError; unrelated." + }, + { + "left": "issue:6439", + "right": "issue:9396", + "accept": false, + "reason": "Broken fp16 docs link vs Korean docs translation; unrelated docs tasks." + }, + { + "left": "issue:6481", + "right": "issue:9350", + "accept": false, + "reason": "DreamBooth batch-size bug vs SD3 txt_ids deprecation warning; different training/model inputs." + }, + { + "left": "issue:6725", + "right": "issue:9488", + "accept": false, + "reason": "Different pipelines and symptoms: LDMPipeline image generation vs Lumina failing to generate any image." + }, + { + "left": "issue:6949", + "right": "issue:9007", + "accept": false, + "reason": "Both scheduler-output issues, but the conditions differ (even step numbers vs 3-order black output); not clearly one bug." + }, + { + "left": "issue:7636", + "right": "issue:8405", + "accept": false, + "reason": "Usage question about SDXL tile ControlNet vs tensor-size error with multiple ControlNets; different problem types." + }, + { + "left": "issue:8320", + "right": "issue:9846", + "accept": false, + "reason": "Both touch from_single_file(), but they fail on different model classes and different missing support; too dissimilar to merge." + }, + { + "left": "issue:8960", + "right": "issue:9850", + "accept": false, + "reason": "Gradient accumulation example bug vs gradient checkpointing with frozen model support; unrelated training concerns." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 276, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10191", + "issue:1083", + "issue:11208", + "issue:12012", + "issue:13073", + "issue:1323", + "issue:13300", + "issue:1495", + "issue:1534", + "issue:1608", + "issue:1672", + "issue:193", + "issue:1946", + "issue:2578", + "issue:3116", + "issue:3222", + "issue:3338", + "issue:3908", + "issue:4043", + "issue:4297", + "issue:4356", + "issue:4361", + "issue:4615", + "issue:4646", + "issue:4692", + "issue:5281", + "issue:5433", + "issue:5619", + "issue:5770", + "issue:6351", + "issue:6742", + "issue:7054", + "issue:746", + "issue:7592", + "issue:7636", + "issue:7660", + "issue:8429", + "issue:8523", + "issue:9112", + "issue:9178", + "issue:9361", + "issue:9471", + "issue:9495", + "issue:9602", + "issue:9850", + "issue:9902", + "issue:9962" + ], + "soft_pairs": [ + "issue:9178|issue:9361", + "issue:9902|issue:9962", + "issue:4361|issue:4692", + "issue:7636|issue:9495", + "issue:12012|issue:9471", + "issue:8429|issue:9112", + "issue:3116|issue:3908", + "issue:7054|issue:7592", + "issue:10191|issue:9602", + "issue:1608|issue:1946", + "issue:4043|issue:5619", + "issue:13073|issue:13300", + "issue:6742|issue:9850", + "issue:1495|issue:2578", + "issue:1672|issue:3222", + "issue:5281|issue:8523", + "issue:5770|issue:6351", + "issue:1323|issue:4615", + "issue:3338|issue:4356", + "issue:4646|issue:746", + "issue:11208|issue:7660", + "issue:4297|issue:5433", + "issue:1534|issue:193", + "issue:1083|issue:4646" + ], + "prepared_review_unit_hash": "f95d53c979becdbb5d2d851694dfd9f96ef2ee7fc1bd32139cbb3d3ee7d7f052", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33577, + "estimated_input_tokens": 8395, + "estimated_eval_tokens": 17046 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is highly heterogeneous: these issues span unrelated bugs in training, inference, loading, packaging, and environment setup. None of the soft pairs look like the same concrete defect, so no duplicate merge is warranted.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue fits this cluster; the items describe many unrelated failures across different models, pipelines, and error modes.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue for duplication purposes; the cluster does not center on one underlying bug or change.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9178", + "right": "issue:9361", + "accept": false, + "reason": "One is a Flux LoRA training target-module error; the other is a Flux inference symptom where the LoRA has no effect. Different code paths and failure modes." + }, + { + "left": "issue:9902", + "right": "issue:9962", + "accept": false, + "reason": "Conda version pinning is unrelated to an unexpected keyword argument `use_cuda_graph`; different subsystems." + }, + { + "left": "issue:4361", + "right": "issue:4692", + "accept": false, + "reason": "Shared tensor saving with safetensors is unrelated to UNet2DConditionModel memory behavior." + }, + { + "left": "issue:7636", + "right": "issue:9495", + "accept": false, + "reason": "ControlNet SDXL tile usage questions and SDXL PAG+IPAdapter breakage are different pipeline/features, not the same bug." + }, + { + "left": "issue:12012", + "right": "issue:9471", + "accept": false, + "reason": "Wan 2.2 cache context-state error is unrelated to a CoreML file-extension/resource-type inference error." + }, + { + "left": "issue:8429", + "right": "issue:9112", + "accept": false, + "reason": "I2VGen-XL inference script problems and Auraflow tensor-shape mismatch are model-specific, unrelated failures." + }, + { + "left": "issue:3116", + "right": "issue:3908", + "accept": false, + "reason": "A scheduler noise bug in img2img is unrelated to Streamlit model caching." + }, + { + "left": "issue:7054", + "right": "issue:7592", + "accept": false, + "reason": "Both concern loading state dicts, but one empties the input dict in LoRA loading while the other misses keys during DoRA loading; different bugs and fixes." + }, + { + "left": "issue:10191", + "right": "issue:9602", + "accept": false, + "reason": "GPU device selection during training is unrelated to adapter-name lookup failing in a different subsystem." + }, + { + "left": "issue:1608", + "right": "issue:1946", + "accept": false, + "reason": "Training stopping at 500 steps on T4 is not the same as an xformers CUDA invalid-argument error." + }, + { + "left": "issue:4043", + "right": "issue:5619", + "accept": false, + "reason": "SDXL pooled-prompt-embed requirements and AutoencodeTiny img2img encoding are different pipeline requirements." + }, + { + "left": "issue:13073", + "right": "issue:13300", + "accept": false, + "reason": "Unsupported guidance_scale in ZImageControlNetPipeline is a different issue from CPU failures on SD3.5/FLUX generation." + }, + { + "left": "issue:6742", + "right": "issue:9850", + "accept": false, + "reason": "Both mention checkpointing, but one is a motion-block behavioral difference and the other is making gradient checkpointing work with frozen models; not the same defect." + }, + { + "left": "issue:1495", + "right": "issue:2578", + "accept": false, + "reason": "Missing `init_git_repo` import and editable-install failure are separate packaging/import issues." + }, + { + "left": "issue:1672", + "right": "issue:3222", + "accept": false, + "reason": "Incorrect image size after conversion and missing custom diffusion weight output after training are unrelated outcomes." + }, + { + "left": "issue:5281", + "right": "issue:8523", + "accept": false, + "reason": "Device-mismatch errors with CPU offload across XL pipelines and a playground CUDA error are too broad and not the same concrete bug." + }, + { + "left": "issue:5770", + "right": "issue:6351", + "accept": false, + "reason": "Dataset access blocking an LCM distillation pipeline is unrelated to DDP missing `disable_adapters`." + }, + { + "left": "issue:1323", + "right": "issue:4615", + "accept": false, + "reason": "Flax dtype loading and a missing ControlNet pipeline import are distinct issues." + }, + { + "left": "issue:3338", + "right": "issue:4356", + "accept": false, + "reason": "Slow import performance and a missing dummy module are unrelated packaging/runtime problems." + }, + { + "left": "issue:4646", + "right": "issue:746", + "accept": false, + "reason": "Both involve ONNX, but one is a failed conversion and the other is a revision/loading problem; different stages and root causes." + }, + { + "left": "issue:11208", + "right": "issue:7660", + "accept": false, + "reason": "Unsupported MultiControlNetModel in a specific pipeline is unrelated to a trace example failure." + }, + { + "left": "issue:4297", + "right": "issue:5433", + "accept": false, + "reason": "Both mention artifacts, but one is batched SDXL img2img fishnet artifacts and the other is DPM++/no-refiner visual artifacts; different code paths and likely causes." + }, + { + "left": "issue:1534", + "right": "issue:193", + "accept": false, + "reason": "Dreambooth notebook errors and a generic pipeline error are too vague and not clearly the same bug." + }, + { + "left": "issue:1083", + "right": "issue:4646", + "accept": false, + "reason": "FP16 ONNX incorrect output and ControlNet-to-ONNX conversion failure are both ONNX-related but describe different problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 277, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10281", + "issue:10282", + "issue:10596", + "issue:10653", + "issue:1076", + "issue:10869", + "issue:10940", + "issue:11241", + "issue:11519", + "issue:11574", + "issue:12025", + "issue:12060", + "issue:12221", + "issue:12299", + "issue:12319", + "issue:12373", + "issue:12489", + "issue:12505", + "issue:12535", + "issue:12754", + "issue:13279", + "issue:13430", + "issue:13488", + "issue:1440", + "issue:1633", + "issue:1934", + "issue:2153", + "issue:2437", + "issue:2763", + "issue:2858", + "issue:3401", + "issue:4059", + "issue:4104", + "issue:4551", + "issue:4631", + "issue:5546", + "issue:5953", + "issue:6533", + "issue:7223", + "issue:7370", + "issue:7629", + "issue:7732", + "issue:7895", + "issue:7935", + "issue:8552", + "issue:9007", + "issue:9516", + "issue:968" + ], + "soft_pairs": [ + "issue:12319|issue:13488", + "issue:2437|issue:6533", + "issue:4631|issue:9007", + "issue:5953|issue:7629", + "issue:10869|issue:12299", + "issue:11241|issue:8552", + "issue:2153|issue:4104", + "issue:1934|issue:2763", + "issue:3401|issue:4551", + "issue:7223|issue:7370", + "issue:10653|issue:12489", + "issue:10281|issue:11519", + "issue:1440|issue:968", + "issue:1633|issue:2858", + "issue:7895|issue:9516", + "issue:10282|issue:11574", + "issue:12505|issue:12754", + "issue:12535|issue:13279", + "issue:10596|issue:12025", + "issue:1076|issue:4059", + "issue:10940|issue:7935", + "issue:12060|issue:12373", + "issue:12221|issue:13430", + "issue:5546|issue:7732" + ], + "prepared_review_unit_hash": "d7c81afed7944278937a01f7cfd3446f867305d6a4dfa9b44d780ad5a8354609", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33963, + "estimated_input_tokens": 8491, + "estimated_eval_tokens": 17238 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a heterogeneous set of issues, not a duplicate cluster. The soft pairs mostly share broad subsystems (offloading, schedulers, loading, shape mismatches) but describe different concrete failures or feature requests, so none should be merged as duplicates.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:10869 is the cleanest, most concrete bug report in the set: a narrowly scoped meta-tensor failure with an explicit error and clear reproducer target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12319", + "right": "issue:13488", + "accept": false, + "reason": "Both touch offloading, but one is broken group offloading by block_level and the other is from_pipe defaulting to float32; different bugs." + }, + { + "left": "issue:2437", + "right": "issue:6533", + "accept": false, + "reason": "T2I-Adapter pipeline request vs Marigold depth pipeline support; different features, not the same underlying change." + }, + { + "left": "issue:4631", + "right": "issue:9007", + "accept": false, + "reason": "Both involve DPMSolverSinglestepScheduler, but one is a scalar conversion error with karras sigmas and the other is black output with 3rd-order steps; not the same bug." + }, + { + "left": "issue:5953", + "right": "issue:7629", + "accept": false, + "reason": "ControlNet image/control_image size mismatch crash vs PyTorch 1.13.1 OOM; unrelated failure modes." + }, + { + "left": "issue:10869", + "right": "issue:12299", + "accept": false, + "reason": "Meta-tensor .item() failure vs SD3 negative-prompt embedding tensor mismatch; different code paths and symptoms." + }, + { + "left": "issue:11241", + "right": "issue:8552", + "accept": false, + "reason": "Flux ControlNet floating-point exception vs TextToVideoZeroPipeline segfault; both crashes, but not the same bug." + }, + { + "left": "issue:2153", + "right": "issue:4104", + "accept": false, + "reason": "GTX 1660 float16 runtime error vs black image/invalid cast; unrelated issues." + }, + { + "left": "issue:1934", + "right": "issue:2763", + "accept": false, + "reason": "Both discuss memory usage, but cpu_offload VRAM overhead and ControlNet cudnn.benchmark VRAM growth are different problems." + }, + { + "left": "issue:3401", + "right": "issue:4551", + "accept": false, + "reason": "class_labels required when num_class_embeds > 0 vs SDXL dreambooth crash; different model/config issues." + }, + { + "left": "issue:7223", + "right": "issue:7370", + "accept": false, + "reason": "Latte support vs OpenSora STDiT support request; separate model integrations." + }, + { + "left": "issue:10653", + "right": "issue:12489", + "accept": false, + "reason": "bitsandbytes .to() unsupported on HunyuanVideoTransformer3DModel vs CUDA kernel compatibility error in ControlNet; distinct failures." + }, + { + "left": "issue:10281", + "right": "issue:11519", + "accept": false, + "reason": "New scheduler request (FreeScale) vs MAGI-1 support request; both are feature asks, not duplicates." + }, + { + "left": "issue:1440", + "right": "issue:968", + "accept": false, + "reason": "Delete cached model request vs model loading latency report; different product concerns." + }, + { + "left": "issue:1633", + "right": "issue:2858", + "accept": false, + "reason": "Karras sigmas option in k_diffusion wrapper vs seeding image for unclip img2img; different pipeline features." + }, + { + "left": "issue:7895", + "right": "issue:9516", + "accept": false, + "reason": "Flax memory_efficient_attention broken vs FLUX joint_attention_kwargs not passed; separate implementation bugs." + }, + { + "left": "issue:10282", + "right": "issue:11574", + "accept": false, + "reason": "Shape mismatch on x_embedder.weight while loading vs KeyError for vae.encoder.conv_out.conv.weight; both loading errors, but not the same model-path issue." + }, + { + "left": "issue:12505", + "right": "issue:12754", + "accept": false, + "reason": "tgate error in img2img pipelines vs from_pipe converting to float32 by default; unrelated behavior." + }, + { + "left": "issue:12535", + "right": "issue:13279", + "accept": false, + "reason": "Wan2.2 Lightning LoRA loading failure vs AutoencoderRAE loading with older transformers; different compatibility problems." + }, + { + "left": "issue:10596", + "right": "issue:12025", + "accept": false, + "reason": "FluxControlPipeline shape error vs Cosmos VAE Encoder invalid API call; different pipelines and error sources." + }, + { + "left": "issue:1076", + "right": "issue:4059", + "accept": false, + "reason": "Generic stable-diffusion-v1-5 question vs ControlNetReferencePipeline bug/question; not the same issue." + }, + { + "left": "issue:10940", + "right": "issue:7935", + "accept": false, + "reason": "Missing triton.ops import vs missing config.json for a model repo; unrelated loading problems." + }, + { + "left": "issue:12060", + "right": "issue:12373", + "accept": false, + "reason": "Question about DiT blocks vs Unlearn API request; different API/feature topics." + }, + { + "left": "issue:12221", + "right": "issue:13430", + "accept": false, + "reason": "Community request for DiffSynth ControlNet support vs support for JoyAI-Image-Edit; separate feature requests." + }, + { + "left": "issue:5546", + "right": "issue:7732", + "accept": false, + "reason": "Karras-sigmas step-count bug in scheduler ensemble vs StableDiffusionXL ControlNet+Refiner runtime error; same broad area, but not the same concrete defect." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 278, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10282", + "issue:10411", + "issue:10450", + "issue:10514", + "issue:10591", + "issue:10659", + "issue:1070", + "issue:10920", + "issue:10950", + "issue:1195", + "issue:12022", + "issue:12216", + "issue:12319", + "issue:1811", + "issue:2097", + "issue:2392", + "issue:2437", + "issue:2967", + "issue:3251", + "issue:3347", + "issue:3574", + "issue:3622", + "issue:3698", + "issue:3876", + "issue:4665", + "issue:4720", + "issue:4767", + "issue:5607", + "issue:5777", + "issue:5907", + "issue:5927", + "issue:599", + "issue:6073", + "issue:6958", + "issue:6964", + "issue:7056", + "issue:725", + "issue:7264", + "issue:7538", + "issue:7950", + "issue:8277", + "issue:8824", + "issue:8832", + "issue:9109", + "issue:9161", + "issue:9171", + "issue:9464", + "issue:9558" + ], + "soft_pairs": [ + "issue:599|issue:725", + "issue:3876|issue:6964", + "issue:1070|issue:4720", + "issue:7538|issue:8824", + "issue:2437|issue:5927", + "issue:7950|issue:8832", + "issue:10514|issue:10659", + "issue:10920|issue:9171", + "issue:12022|issue:9109", + "issue:9161|issue:9464", + "issue:2392|issue:3347", + "issue:10282|issue:5607", + "issue:10450|issue:10591", + "issue:10950|issue:12319", + "issue:1195|issue:1811", + "issue:3622|issue:5777", + "issue:3698|issue:7264", + "issue:2097|issue:2967", + "issue:6073|issue:7056", + "issue:10411|issue:8277", + "issue:4767|issue:5907", + "issue:12216|issue:9558", + "issue:3251|issue:6958", + "issue:3574|issue:4665" + ], + "prepared_review_unit_hash": "88621e9da1c4ad6f2d2ae69fab06a87172c2b3c47828d1a2ca707b805da564c6", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34132, + "estimated_input_tokens": 8533, + "estimated_eval_tokens": 17322 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated GitHub issues that only share broad subsystem keywords (inpainting, training scripts, schedulers, loading, etc.). No soft pair looks like the same concrete bug/change with enough specificity to merge or deduplicate confidently.", + "confidence": 0.33, + "canonical_issue_reason": "Issue 725 is the clearest, most actionable core issue in the set: it targets a concrete loading/memory capability in DiffusionPipeline and is broader than the other narrowly scoped bug reports.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 725 is the best representative issue here because it is specific, technically substantive, and tied to a reusable code-path rather than a user-specific setup question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:599", + "right": "issue:725", + "accept": false, + "reason": "Different requests: Deepspeed integration vs. device_map/accelerate loading support. Same area, not the same bug." + }, + { + "left": "issue:3876", + "right": "issue:6964", + "accept": false, + "reason": "Both mention ControlNet inpainting, but one is a demo/error report and the other is a 4-channel UNet incompatibility. Not the same failure." + }, + { + "left": "issue:1070", + "right": "issue:4720", + "accept": false, + "reason": "Both touch inpainting, but one is a generic new-version bug and the other is AutoencoderTiny compatibility with img2img/inpainting pipelines." + }, + { + "left": "issue:7538", + "right": "issue:8824", + "accept": false, + "reason": "Different dataset/training guidance questions for different workflows; no shared concrete bug." + }, + { + "left": "issue:2437", + "right": "issue:5927", + "accept": false, + "reason": "Different pipeline features (T2I-Adapter vs IP-Adapter/reference inpaint). Same broad area only." + }, + { + "left": "issue:7950", + "right": "issue:8832", + "accept": false, + "reason": "PyTorch/Diffusers version incompatibility vs a generic pipeline crash. No evidence of the same root cause." + }, + { + "left": "issue:10514", + "right": "issue:10659", + "accept": false, + "reason": "Different models and problems: Sana resolution binning limit vs ConsisID output quality." + }, + { + "left": "issue:10920", + "right": "issue:9171", + "accept": false, + "reason": "Both involve scheduler/prediction-type behavior, but one is DDIMInverse infs and the other is from_single_file regression for SD1.5 v_prediction. Distinct bugs." + }, + { + "left": "issue:12022", + "right": "issue:9109", + "accept": false, + "reason": "Completely different code paths: flash-attention interface mismatch vs torchvision nms operator availability." + }, + { + "left": "issue:9161", + "right": "issue:9464", + "accept": false, + "reason": "Same training script family, but one is distributed bugs and the other is a prodigy/train_text_encoder IndexError. Not the same issue." + }, + { + "left": "issue:2392", + "right": "issue:3347", + "accept": false, + "reason": "One is an img2img prompt_embeds validation error; the other is NaN image output from a text-to-image pipeline. Different symptoms and causes." + }, + { + "left": "issue:10282", + "right": "issue:5607", + "accept": false, + "reason": "Both are shape-mismatch errors, but they involve different models and different tensors; too generic to treat as duplicates." + }, + { + "left": "issue:10450", + "right": "issue:10591", + "accept": false, + "reason": "Flux transformer-block architecture mismatch vs an SD3 LoRA training script problem. Not the same bug." + }, + { + "left": "issue:10950", + "right": "issue:12319", + "accept": false, + "reason": "Docs broken vs broken group offloading runtime behavior. Different artifact types and problems." + }, + { + "left": "issue:1195", + "right": "issue:1811", + "accept": false, + "reason": "Memory-efficient attention fp16 bug vs from_pretrained downloading both bin and safetensors. No overlap in root cause." + }, + { + "left": "issue:3622", + "right": "issue:5777", + "accept": false, + "reason": "Tutorial import error vs pixart dreambooth training error; unrelated." + }, + { + "left": "issue:3698", + "right": "issue:7264", + "accept": false, + "reason": "Converting an inpainting model to diffusers is a feature request, while the other is a serialization/load bug for custom transformers models." + }, + { + "left": "issue:2097", + "right": "issue:2967", + "accept": false, + "reason": "Both are about UNet1D, but the titles are too generic to prove the same underlying bug; likely separate user reports." + }, + { + "left": "issue:6073", + "right": "issue:7056", + "accept": false, + "reason": "Different training setup questions: SDXL DreamBooth README error vs LoRA fine-tuning with train_text_encoder." + }, + { + "left": "issue:10411", + "right": "issue:8277", + "accept": false, + "reason": "One is how to start training LoRA weights from an example, the other is a convergence complaint. Not the same issue." + }, + { + "left": "issue:4767", + "right": "issue:5907", + "accept": false, + "reason": "Scheduler prediction_type support question vs constructor/docs mismatch for a different scheduler class." + }, + { + "left": "issue:12216", + "right": "issue:9558", + "accept": false, + "reason": "Different symptoms and domains: model quality regression vs black validation image in TensorBoard." + }, + { + "left": "issue:3251", + "right": "issue:6958", + "accept": false, + "reason": "ControlNet Shuffle guidance behavior vs a missing use_linear_projection setting in unet_motion_model. Different code paths." + }, + { + "left": "issue:3574", + "right": "issue:4665", + "accept": false, + "reason": "Windows loading problem with from_ckpt vs Windows safetensors/bin selection issue. Related platform, but not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 279, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1037", + "issue:10653", + "issue:11448", + "issue:11872", + "issue:12359", + "issue:13446", + "issue:1556", + "issue:1931", + "issue:2068", + "issue:2201", + "issue:2444", + "issue:2534", + "issue:255", + "issue:2761", + "issue:280", + "issue:2891", + "issue:3238", + "issue:3799", + "issue:3861", + "issue:3948", + "issue:3954", + "issue:4264", + "issue:4391", + "issue:4605", + "issue:4724", + "issue:487", + "issue:5215", + "issue:5216", + "issue:5334", + "issue:5553", + "issue:5578", + "issue:590", + "issue:6176", + "issue:6457", + "issue:6574", + "issue:6811", + "issue:6880", + "issue:7056", + "issue:7421", + "issue:7519", + "issue:7589", + "issue:8393", + "issue:8477", + "issue:8588", + "issue:8943", + "issue:9188", + "issue:9599", + "issue:984" + ], + "soft_pairs": [ + "issue:4724|issue:8393", + "issue:1556|issue:3948", + "issue:2444|issue:6880", + "issue:1931|issue:984", + "issue:5216|issue:7589", + "issue:5553|issue:6176", + "issue:12359|issue:13446", + "issue:1037|issue:280", + "issue:11448|issue:8943", + "issue:2068|issue:3238", + "issue:2534|issue:4605", + "issue:2761|issue:4391", + "issue:4264|issue:8588", + "issue:5334|issue:6457", + "issue:5578|issue:6811", + "issue:7421|issue:7519", + "issue:9188|issue:9599", + "issue:10653|issue:11872", + "issue:255|issue:487", + "issue:3799|issue:3861", + "issue:7056|issue:8477", + "issue:2201|issue:6574", + "issue:3954|issue:590", + "issue:2891|issue:5215" + ], + "prepared_review_unit_hash": "19709bda542d71b100fbe7d003dfcdd1910eff7ec80ccecbcc63a90668c39599", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34136, + "estimated_input_tokens": 8534, + "estimated_eval_tokens": 17324 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: it mixes custom-pipeline/model-loading reports, training/offloading/runtime errors, scheduler bugs, and documentation requests. I do not see a single duplicate set here; the soft pairs look superficially similar but are mostly different concrete failures or doc gaps.", + "confidence": 0.91, + "canonical_issue_reason": "If a canonical issue must be chosen, issue #5553 is the broadest umbrella for the loading/custom-model subset, but it still does not represent the rest of the cluster well.", + "canonical_pr_reason": null, + "best_issue_reason": "#5553 is the most central and general issue among the set, but it is still only a partial fit because many other items are unrelated training, scheduler, or documentation problems.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4724", + "right": "issue:8393", + "accept": false, + "reason": "Different bugs: SDXL img2img behavior vs slow checkpoint shard loading." + }, + { + "left": "issue:1556", + "right": "issue:3948", + "accept": false, + "reason": "Both mention bad image output, but the symptoms differ (black images with NSFW warning vs pale images) and likely have different causes." + }, + { + "left": "issue:2444", + "right": "issue:6880", + "accept": false, + "reason": "Different scripts and failures: dreambooth_inpaint exit error vs custom diffusion retrieve.py problem." + }, + { + "left": "issue:1931", + "right": "issue:984", + "accept": false, + "reason": "Unrelated code paths: dtype mismatch in Stable Diffusion 2 vs F.interpolate breaking for large batch size." + }, + { + "left": "issue:5216", + "right": "issue:7589", + "accept": false, + "reason": "Both are inference failures, but one is an inpainting tensor iteration error and the other is a GLIGEN layout-to-image issue." + }, + { + "left": "issue:5553", + "right": "issue:6176", + "accept": false, + "reason": "Custom model loading failure vs LoRA weight loading after dreambooth_lora training are different concrete problems." + }, + { + "left": "issue:12359", + "right": "issue:13446", + "accept": false, + "reason": "Documentation bug for guidance_scale is not the same as the custom_pipeline trust-check/security issue." + }, + { + "left": "issue:1037", + "right": "issue:280", + "accept": false, + "reason": "Completely different feature requests: a community pipeline addition vs a new scheduler." + }, + { + "left": "issue:11448", + "right": "issue:8943", + "accept": false, + "reason": "Different failures: missing stable-unclip pipeline path vs missing CUDA shared library during install." + }, + { + "left": "issue:2068", + "right": "issue:3238", + "accept": false, + "reason": "from_pretrained dtype conversion behavior is unrelated to converting LoRA safetensors to diffusers format." + }, + { + "left": "issue:2534", + "right": "issue:4605", + "accept": false, + "reason": "Scheduler selection error vs an inpaint-model error in a long-prompt weighting pipeline are different issues." + }, + { + "left": "issue:2761", + "right": "issue:4391", + "accept": false, + "reason": "One is a doc request for UNet1DModel, the other is a default-value/doc inconsistency in StableDiffusionXLPipeline." + }, + { + "left": "issue:4264", + "right": "issue:8588", + "accept": false, + "reason": "Missing example images and missing conversion script are unrelated maintenance tasks." + }, + { + "left": "issue:5334", + "right": "issue:6457", + "accept": false, + "reason": "Both involve training mechanics, but the first is an Accelerate API usage issue and the second is a specific SDXL-LoRA gradient accumulation problem." + }, + { + "left": "issue:5578", + "right": "issue:6811", + "accept": false, + "reason": "Similar surface symptom around model_index.json, but the reported contexts differ and may have different root causes." + }, + { + "left": "issue:7421", + "right": "issue:7519", + "accept": false, + "reason": "Seed reproducibility issue is unrelated to xFormers cross_attention_kwargs being ignored." + }, + { + "left": "issue:9188", + "right": "issue:9599", + "accept": false, + "reason": "Flux outpainting request vs a LoRA-only finetune example request are different feature gaps." + }, + { + "left": "issue:10653", + "right": "issue:11872", + "accept": false, + "reason": "Different performance/runtime issues: unsupported .to() on an 8-bit module vs repeated CPU/GPU offloading inefficiency." + }, + { + "left": "issue:255", + "right": "issue:487", + "accept": false, + "reason": "A shape divisibility/unet_blocks error is not the same as M1 CPU incompatibility." + }, + { + "left": "issue:3799", + "right": "issue:3861", + "accept": false, + "reason": "Type inference for DDPMScheduler.from_pretrained is unrelated to the Pipeline.from_pretrained typo/usage question." + }, + { + "left": "issue:7056", + "right": "issue:8477", + "accept": false, + "reason": "Different training failures: SDXL LoRA train_text_encoder error vs a DistributedDataParallel error in a research script." + }, + { + "left": "issue:2201", + "right": "issue:6574", + "accept": false, + "reason": "Tokenizer padding differences and an SVD pipeline warning about expected tensor range are unrelated." + }, + { + "left": "issue:3954", + "right": "issue:590", + "accept": false, + "reason": "Wrong training step count in multi-GPU vs a typo in the Karras scheduler noise formula are different scheduler bugs." + }, + { + "left": "issue:2891", + "right": "issue:5215", + "accept": false, + "reason": "Unsupported embeds docs mismatch in upscale pipeline vs brightness shift in dark-source upscaling are different issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 280, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10085", + "issue:10111", + "issue:10204", + "issue:10210", + "issue:10475", + "issue:10518", + "issue:10917", + "issue:1127", + "issue:11432", + "issue:1207", + "issue:1273", + "issue:12781", + "issue:13249", + "issue:1704", + "issue:1750", + "issue:2359", + "issue:2402", + "issue:2880", + "issue:3081", + "issue:3366", + "issue:3450", + "issue:3481", + "issue:3978", + "issue:4198", + "issue:4217", + "issue:4480", + "issue:4668", + "issue:5392", + "issue:5693", + "issue:5989", + "issue:6250", + "issue:6256", + "issue:6354", + "issue:6452", + "issue:7054", + "issue:7142", + "issue:725", + "issue:7365", + "issue:7368", + "issue:7575", + "issue:7889", + "issue:8514", + "issue:8700", + "issue:8785", + "issue:8863", + "issue:9415", + "issue:9610", + "issue:989" + ], + "soft_pairs": [ + "issue:4198|issue:989", + "issue:2880|issue:3081", + "issue:5392|issue:7368", + "issue:6354|issue:9610", + "issue:8514|issue:9415", + "issue:10210|issue:7054", + "issue:7575|issue:8863", + "issue:1127|issue:2402", + "issue:1207|issue:1750", + "issue:10111|issue:7889", + "issue:10518|issue:12781", + "issue:4217|issue:5989", + "issue:6256|issue:6452", + "issue:8700|issue:8785", + "issue:11432|issue:13249", + "issue:10204|issue:10475", + "issue:3978|issue:4480", + "issue:10085|issue:7142", + "issue:3366|issue:3450", + "issue:3481|issue:4668", + "issue:5693|issue:6250", + "issue:10917|issue:7365", + "issue:1273|issue:1704", + "issue:2359|issue:725" + ], + "prepared_review_unit_hash": "9e5d3d3dd8652ebd24817862c878b3369b6f5817d74203073af3e5edc5436c8c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33674, + "estimated_input_tokens": 8419, + "estimated_eval_tokens": 17094 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The list is a heterogeneous mix of unrelated issues; the soft pairs mostly share only broad keywords like pipeline, LoRA, MPS, or dtype. None of the candidate pairs look like the same underlying bug or change, so no soft-edge merges are justified.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue: the items span many unrelated bugs, feature requests, and environments rather than one duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative because there is no cohesive duplicate set here.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4198", + "right": "issue:989", + "accept": false, + "reason": "Both are runtime errors, but one is a matmul dtype mismatch in a notebook and the other is a 2-D weight assertion; different failure modes and code paths." + }, + { + "left": "issue:2880", + "right": "issue:3081", + "accept": false, + "reason": "Both mention Colab not running, but they concern different workflows: JAX stable diffusion vs textual inversion." + }, + { + "left": "issue:5392", + "right": "issue:7368", + "accept": false, + "reason": "One asks how to train an unconditional latent diffusion model, the other asks about GLIGEN training; different tasks." + }, + { + "left": "issue:6354", + "right": "issue:9610", + "accept": false, + "reason": "Both are LoRA-related feature requests, but for different pipelines/scripts and different API additions." + }, + { + "left": "issue:8514", + "right": "issue:9415", + "accept": false, + "reason": "Different model families and different errors: EMAModel parallel fine-tuning vs CogVideoX transformer parameter handling." + }, + { + "left": "issue:10210", + "right": "issue:7054", + "accept": false, + "reason": "Img2img quality degradation over iterations is unrelated to load_lora_weights mutating an input state_dict." + }, + { + "left": "issue:7575", + "right": "issue:8863", + "accept": false, + "reason": "Both are shape-related errors, but they occur in different models and with different tensor/object causes." + }, + { + "left": "issue:1127", + "right": "issue:2402", + "accept": false, + "reason": "Both are CUDA-related, but one is an ONNX/DML traceback and the other is Torch built without CUDA; not the same bug." + }, + { + "left": "issue:1207", + "right": "issue:1750", + "accept": false, + "reason": "Different undefined-symbol failures on Debian/VM setups; no evidence they share the same missing symbol or loader issue." + }, + { + "left": "issue:10111", + "right": "issue:7889", + "accept": false, + "reason": "One is about bugs in the FLUX pipeline, the other about single-file checkpoint loading helpers; too broad to be duplicates." + }, + { + "left": "issue:10518", + "right": "issue:12781", + "accept": false, + "reason": "SD3 training-script problems and Discord login are completely unrelated." + }, + { + "left": "issue:4217", + "right": "issue:5989", + "accept": false, + "reason": "Both mention safetensors, but one is slow loading and the other is a bug report in safetensors.torch; different problems." + }, + { + "left": "issue:6256", + "right": "issue:6452", + "accept": false, + "reason": "Separate feature requests for different pipeline parameters: callback_on_step_begin vs masked_image_latents." + }, + { + "left": "issue:8700", + "right": "issue:8785", + "accept": false, + "reason": "Both request PAG support, but for different pipelines/models; they are not the same concrete change." + }, + { + "left": "issue:11432", + "right": "issue:13249", + "accept": false, + "reason": "torch_dtype='auto' loading behavior and LoRA breaking for Z-Image are unrelated." + }, + { + "left": "issue:10204", + "right": "issue:10475", + "accept": false, + "reason": "FluxFill inpainting degradation over iterations is a different issue from SD3 inference quality being worse than validation." + }, + { + "left": "issue:3978", + "right": "issue:4480", + "accept": false, + "reason": "Both involve MPS img2img, but one is general non-functionality and the other is a float16 kernel crash; not enough to treat as the same bug." + }, + { + "left": "issue:10085", + "right": "issue:7142", + "accept": false, + "reason": "LyCORIS batch inference with skip_guidance_layers is unrelated to SDXL-lightning inference differing from webui." + }, + { + "left": "issue:3366", + "right": "issue:3450", + "accept": false, + "reason": "Autocast being stopped by LoRALinearLayer is unrelated to StableDiffusionPipeline.from_ckpt failing on dev." + }, + { + "left": "issue:3481", + "right": "issue:4668", + "accept": false, + "reason": "One is about step-dependent determinism, the other about weird images from a Kohya-style LoRA; different underlying problems." + }, + { + "left": "issue:5693", + "right": "issue:6250", + "accept": false, + "reason": "Both are VAE loading issues, but one is a generic load error and the other is a KeyError for single-file SDXL VAE loading." + }, + { + "left": "issue:10917", + "right": "issue:7365", + "accept": false, + "reason": "A script correctness question for lumina-2.0 is unrelated to pooled_prompt_embeds being overwritten." + }, + { + "left": "issue:1273", + "right": "issue:1704", + "accept": false, + "reason": "A mean-loss calculation question and a question about an attention block are not the same bug." + }, + { + "left": "issue:2359", + "right": "issue:725", + "accept": false, + "reason": "Allowing latent output_type in img2img is unrelated to device_map/accelerate memory-footprint support." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 281, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10798", + "issue:11437", + "issue:12078", + "issue:12097", + "issue:12110", + "issue:13105", + "issue:1353", + "issue:1377", + "issue:1633", + "issue:2500", + "issue:2501", + "issue:2578", + "issue:2780", + "issue:2838", + "issue:2858", + "issue:3052", + "issue:3065", + "issue:3287", + "issue:3481", + "issue:3638", + "issue:4598", + "issue:4923", + "issue:5006", + "issue:5043", + "issue:5112", + "issue:5371", + "issue:5433", + "issue:5485", + "issue:5605", + "issue:5769", + "issue:6506", + "issue:6535", + "issue:6790", + "issue:6812", + "issue:7210", + "issue:725", + "issue:7421", + "issue:7535", + "issue:8233", + "issue:8534", + "issue:8612", + "issue:8671", + "issue:8673", + "issue:8752", + "issue:8792", + "issue:9166", + "issue:9306", + "issue:9539" + ], + "soft_pairs": [ + "issue:2578|issue:4598", + "issue:5769|issue:8671", + "issue:7535|issue:8612", + "issue:5433|issue:8792", + "issue:6506|issue:6535", + "issue:6790|issue:9166", + "issue:11437|issue:12078", + "issue:2780|issue:6812", + "issue:12097|issue:13105", + "issue:5112|issue:5485", + "issue:5043|issue:725", + "issue:8534|issue:8673", + "issue:5006|issue:8233", + "issue:7210|issue:8752", + "issue:3481|issue:7421", + "issue:9306|issue:9539", + "issue:10798|issue:12110", + "issue:1353|issue:1377", + "issue:1633|issue:3287", + "issue:2500|issue:2501", + "issue:2838|issue:4923", + "issue:2858|issue:5605", + "issue:3052|issue:3638", + "issue:3065|issue:5371" + ], + "prepared_review_unit_hash": "d8eefb157d5de2fe2e0f76097da4a25eb1d8890cde53fbe3d25421ec703fb468", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34191, + "estimated_input_tokens": 8548, + "estimated_eval_tokens": 17352 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft duplicate suggestions are overwhelmingly false positives: these issues span unrelated bugs, features, and models. No pair looks like the same underlying change or bug.", + "confidence": 0.97, + "canonical_issue_reason": "No canonical issue: there isn't a coherent duplicate cluster here; the candidates are mostly unrelated and only superficially similar.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 12110 is the most concrete standalone bug report, but it does not serve as a duplicate hub for the rest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2578", + "right": "issue:4598", + "accept": false, + "reason": "Editable-install packaging failure vs missing dependency error; different failure modes." + }, + { + "left": "issue:5769", + "right": "issue:8671", + "accept": false, + "reason": "Mixed-precision correctness question vs redundant code in SD3 LoRA training; not the same bug." + }, + { + "left": "issue:7535", + "right": "issue:8612", + "accept": false, + "reason": "Type-hint incompatibility vs PixArt mixed-precision inference issue." + }, + { + "left": "issue:5433", + "right": "issue:8792", + "accept": false, + "reason": "SDXL DPM++ artifacts without refiner vs generic quality degradation after migration; too broad and different." + }, + { + "left": "issue:6506", + "right": "issue:6535", + "accept": false, + "reason": "Output type bug in StableVideoDiffusion vs scheduler customization request; not the same underlying problem." + }, + { + "left": "issue:6790", + "right": "issue:9166", + "accept": false, + "reason": "LCM state_dict key mismatch vs image overlay behavior; unrelated code paths." + }, + { + "left": "issue:11437", + "right": "issue:12078", + "accept": false, + "reason": "Missing training outputs/validation images vs bad example validation input in Flux control finetuning." + }, + { + "left": "issue:2780", + "right": "issue:6812", + "accept": false, + "reason": "FP16 unscale error in one LoRA script vs dtype mismatch in attention projections; different bugs." + }, + { + "left": "issue:12097", + "right": "issue:13105", + "accept": false, + "reason": "Wan2.2 end-of-run VRAM OOM vs Wan2.1 output noise; different models and symptoms." + }, + { + "left": "issue:5112", + "right": "issue:5485", + "accept": false, + "reason": "ControlNet tensor shape error vs batch inference being slow; one is correctness, the other performance." + }, + { + "left": "issue:5043", + "right": "issue:725", + "accept": false, + "reason": "Feature request for W\u0000rtsch\u0000en LoRA vs device-map/accelerate loading support; not the same change." + }, + { + "left": "issue:8534", + "right": "issue:8673", + "accept": false, + "reason": "Wrong DreamBooth weighting vs missing SD3 attention masks; related subsystem, but different fixes." + }, + { + "left": "issue:5006", + "right": "issue:8233", + "accept": false, + "reason": "BF16 training OOM at the end vs fp16 depth pipeline error; different pipelines and root causes." + }, + { + "left": "issue:7210", + "right": "issue:8752", + "accept": false, + "reason": "Missing named_parameters under accelerate dispatch vs offline from_single_file loading; not the same bug." + }, + { + "left": "issue:3481", + "right": "issue:7421", + "accept": false, + "reason": "Different-step DDIM non-determinism vs seed not working in a k-diffusion pipeline; distinct reproducibility issues." + }, + { + "left": "issue:9306", + "right": "issue:9539", + "accept": false, + "reason": "Wrong device selection in from_pretrained vs float8 index_select limitation; unrelated CogVideoX failures." + }, + { + "left": "issue:10798", + "right": "issue:12110", + "accept": false, + "reason": "Flux quantization/device-combination bug vs UNet1D GaussianFourier init issue; different components." + }, + { + "left": "issue:1353", + "right": "issue:1377", + "accept": false, + "reason": "How to combine a training script with a pipeline vs an import error from transformers." + }, + { + "left": "issue:1633", + "right": "issue:3287", + "accept": false, + "reason": "Optional Karras sigma support in a wrapper pipeline vs support for improved DDPM; different feature requests." + }, + { + "left": "issue:2500", + "right": "issue:2501", + "accept": false, + "reason": "Specific meta-tensor copy failure vs broad test-failure roundup; 2501 is an aggregate, not the same bug." + }, + { + "left": "issue:2838", + "right": "issue:4923", + "accept": false, + "reason": "ControlNet pipeline behavior request vs AudioLDM2 transcript-to-speech feature request; unrelated pipelines." + }, + { + "left": "issue:2858", + "right": "issue:5605", + "accept": false, + "reason": "Adding a seeding image to unCLIP img2img vs per-image caption support for SDXL DreamBooth." + }, + { + "left": "issue:3052", + "right": "issue:3638", + "accept": false, + "reason": "Versatile Diffusion control request vs a new prompt-free diffusion pipeline." + }, + { + "left": "issue:3065", + "right": "issue:5371", + "accept": false, + "reason": "DreamBooth text-encoder LoRA option vs BLIP inpainting pipeline support; different features." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 282, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10729", + "issue:10932", + "issue:10950", + "issue:11047", + "issue:11092", + "issue:1125", + "issue:11486", + "issue:11885", + "issue:12338", + "issue:13311", + "issue:1677", + "issue:1889", + "issue:1919", + "issue:1923", + "issue:2098", + "issue:3149", + "issue:3336", + "issue:3481", + "issue:3811", + "issue:3951", + "issue:4213", + "issue:4353", + "issue:4530", + "issue:4584", + "issue:4638", + "issue:5225", + "issue:5313", + "issue:5594", + "issue:5605", + "issue:5656", + "issue:579", + "issue:5890", + "issue:5903", + "issue:5947", + "issue:5969", + "issue:6136", + "issue:6722", + "issue:7053", + "issue:7730", + "issue:8463", + "issue:8577", + "issue:911", + "issue:9218", + "issue:9397", + "issue:9496", + "issue:9610", + "issue:962", + "issue:9841" + ], + "soft_pairs": [ + "issue:3811|issue:5313", + "issue:5225|issue:9496", + "issue:5594|issue:6722", + "issue:5605|issue:9397", + "issue:5947|issue:8577", + "issue:10932|issue:12338", + "issue:11885|issue:13311", + "issue:1677|issue:2098", + "issue:4584|issue:5890", + "issue:579|issue:911", + "issue:10729|issue:8463", + "issue:4213|issue:4638", + "issue:1125|issue:962", + "issue:1889|issue:3336", + "issue:5656|issue:9610", + "issue:7053|issue:7730", + "issue:10950|issue:11092", + "issue:3149|issue:3481", + "issue:3951|issue:6136", + "issue:4353|issue:5903", + "issue:4530|issue:5969", + "issue:11047|issue:9218", + "issue:11486|issue:9841", + "issue:1919|issue:1923" + ], + "prepared_review_unit_hash": "4b68aa8a5abb7b4cc536230e8d148e3e799945ae1cbb41703aefb8111ec49f4c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33715, + "estimated_input_tokens": 8429, + "estimated_eval_tokens": 17114 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a true duplicate cluster: the soft-linked pairs are mostly unrelated bugs/features across different models, pipelines, and docs/training paths. I would not merge any of the soft edges. If forced to pick a representative issue, #10729 is the clearest concrete bug report, but the cluster is heterogeneous.", + "confidence": 0.84, + "canonical_issue_reason": "#10729 is the most concrete and actionable report here, with a specific traceback and code path (`hooks.remove_hook_from_module()` / `_hf_hook`). It is still not actually duplicate-shaped with the rest of the items.", + "canonical_pr_reason": null, + "best_issue_reason": "#10729 best represents a standalone, well-scoped bug with a clear failure mode and likely reproduction path. The other issues are varied and do not form one underlying problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3811", + "right": "issue:5313", + "accept": false, + "reason": "Both are LoRA-related, but one is about `load_lora_weights` having no effect while the other is about non-revertible fuse behavior; different failure modes and code paths." + }, + { + "left": "issue:5225", + "right": "issue:9496", + "accept": false, + "reason": "SDXL memory/quality complaints versus an SD3 ControlNet forward error; different models and bugs." + }, + { + "left": "issue:5594", + "right": "issue:6722", + "accept": false, + "reason": "SDXL LoRA memory-saving concern and using SigLIP as text encoder are unrelated feature requests." + }, + { + "left": "issue:5605", + "right": "issue:9397", + "accept": false, + "reason": "DreamBooth caption support and Hyper LoRA scheduler support are separate training features, not the same issue." + }, + { + "left": "issue:5947", + "right": "issue:8577", + "accept": false, + "reason": "Diffusion-DPO policy objective and SD3 differential diffusion are unrelated topics." + }, + { + "left": "issue:10932", + "right": "issue:12338", + "accept": false, + "reason": "One is a `torch.compile` recompilation-limit problem in HunyuanVideo; the other is a VAE slicing bug when decoding multiple images." + }, + { + "left": "issue:11885", + "right": "issue:13311", + "accept": false, + "reason": "Both involve FLUX LoRA loading, but they describe different concrete breakages in different versions/models and are not the same fix." + }, + { + "left": "issue:1677", + "right": "issue:2098", + "accept": false, + "reason": "Wrong input type to `StableDiffusionPipeline` and invalid `torch.randn` arguments are unrelated errors." + }, + { + "left": "issue:4584", + "right": "issue:5890", + "accept": false, + "reason": "Checkpoint-resume failure in SDXL LoRA training versus a token-length warning in text-to-image inference; different issues." + }, + { + "left": "issue:579", + "right": "issue:911", + "accept": false, + "reason": "Both mention config problems, but textual inversion missing `config.json` and DreamBooth bad config are distinct failures." + }, + { + "left": "issue:10729", + "right": "issue:8463", + "accept": false, + "reason": "`_hf_hook` deletion error and `NoneType.tokenize` in InstructP2P-SDXL are unrelated bugs." + }, + { + "left": "issue:4213", + "right": "issue:4638", + "accept": false, + "reason": "`from_single_file()` requiring accelerate and SDXL textual inversion not working are different code paths and symptoms." + }, + { + "left": "issue:1125", + "right": "issue:962", + "accept": false, + "reason": "A runtime error in inpaint pipelines and missing non-512x512 support are different inpaint issues." + }, + { + "left": "issue:1889", + "right": "issue:3336", + "accept": false, + "reason": "Both are scheduler-related, but DPM++ SDE variant and DPM-Solver Multistep Inverse Scheduler are not the same change or bug." + }, + { + "left": "issue:5656", + "right": "issue:9610", + "accept": false, + "reason": "Community pipeline LoRA loader support and adding `load_lora_weights` to SD3 img2img are different feature scopes." + }, + { + "left": "issue:7053", + "right": "issue:7730", + "accept": false, + "reason": "UNet3D class conditioning and missing request timeouts are entirely unrelated." + }, + { + "left": "issue:10950", + "right": "issue:11092", + "accept": false, + "reason": "Broken documentation and empty timesteps in SDXL-Turbo img2img are unrelated." + }, + { + "left": "issue:3149", + "right": "issue:3481", + "accept": false, + "reason": "Both involve determinism/seed behavior, but they describe different reproducibility problems and likely different causes." + }, + { + "left": "issue:3951", + "right": "issue:6136", + "accept": false, + "reason": "NaNs in UniDiffuser demo and NaNs in StableDiffusionPipeline on Mac CPU are separate model/platform issues." + }, + { + "left": "issue:4353", + "right": "issue:5903", + "accept": false, + "reason": "General SDXL quality complaints and edge artifacts from non-divisible-by-32 resolutions are not the same bug." + }, + { + "left": "issue:4530", + "right": "issue:5969", + "accept": false, + "reason": "Image artifacts in SDXL refiner and DDIM/ZSNR NaNs are unrelated symptoms." + }, + { + "left": "issue:11047", + "right": "issue:9218", + "accept": false, + "reason": "Missing ControlNet PAG inpaint model and PAG with guess mode are different feature requests." + }, + { + "left": "issue:11486", + "right": "issue:9841", + "accept": false, + "reason": "Training-script xFormers support and a DreamBooth SDXL LoRA TypeError with `use_dora=False` are unrelated." + }, + { + "left": "issue:1919", + "right": "issue:1923", + "accept": false, + "reason": "Missing Python training dependency and missing CUDA libraries in Docker are separate packaging/build problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 283, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10334", + "issue:11148", + "issue:12104", + "issue:1314", + "issue:13286", + "issue:1611", + "issue:1709", + "issue:1791", + "issue:1931", + "issue:2020", + "issue:2044", + "issue:2068", + "issue:2370", + "issue:2674", + "issue:2844", + "issue:3381", + "issue:3481", + "issue:3494", + "issue:4149", + "issue:4159", + "issue:4324", + "issue:4361", + "issue:455", + "issue:4631", + "issue:4668", + "issue:4913", + "issue:5374", + "issue:5578", + "issue:6092", + "issue:6320", + "issue:6359", + "issue:7021", + "issue:7142", + "issue:7636", + "issue:7974", + "issue:8234", + "issue:8441", + "issue:8493", + "issue:8509", + "issue:8514", + "issue:852", + "issue:8609", + "issue:8894", + "issue:8960", + "issue:9154", + "issue:9298", + "issue:9343", + "issue:9768" + ], + "soft_pairs": [ + "issue:1314|issue:2844", + "issue:9154|issue:9343", + "issue:2044|issue:2068", + "issue:3481|issue:4149", + "issue:7636|issue:8609", + "issue:8493|issue:8960", + "issue:1709|issue:3381", + "issue:1931|issue:4631", + "issue:2020|issue:5374", + "issue:4668|issue:7974", + "issue:4913|issue:8509", + "issue:5578|issue:6359", + "issue:11148|issue:8514", + "issue:12104|issue:13286", + "issue:2370|issue:6092", + "issue:7021|issue:8441", + "issue:4361|issue:8894", + "issue:10334|issue:9768", + "issue:1611|issue:852", + "issue:3494|issue:7142", + "issue:6320|issue:9298", + "issue:1791|issue:455", + "issue:2674|issue:4159", + "issue:4324|issue:8234" + ], + "prepared_review_unit_hash": "fc4fc7a2493f0c0729462e03bb0a8de68495eaa4efc0bc9cd2126918b5311f64", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34186, + "estimated_input_tokens": 8547, + "estimated_eval_tokens": 17350 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft duplicate edges look safe to merge; the pairs are mostly broad topical similarities (MPS, LoRA, schedulers, loading errors) but describe different code paths and failure modes. No PRs are present.", + "confidence": 0.91, + "canonical_issue_reason": "issue:9343 is the strongest standalone issue to anchor the set: it is open, detailed, and describes a specific reproducible model-loading failure with clear flags (`low_cpu_mem_usage=False`, `ignore_mismatched_sizes=True`).", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9343 is the best issue candidate overall because it is concrete, currently open, and likely actionable without being overly broad.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1314", + "right": "issue:2844", + "accept": false, + "reason": "Different failures: Windows xformers backward error vs explicit image-embedding passing in StableUnCLIPImg2ImgPipeline." + }, + { + "left": "issue:9154", + "right": "issue:9343", + "accept": false, + "reason": "Both involve loading, but one is VAE PT loading and the other is FLUX model loading with different flags and error modes." + }, + { + "left": "issue:2044", + "right": "issue:2068", + "accept": false, + "reason": "Related to dtype handling, but one is DDP lacking `dtype` and the other is `from_pretrained` not converting model dtype." + }, + { + "left": "issue:3481", + "right": "issue:4149", + "accept": false, + "reason": "Different bugs: scheduler-step variation producing different images vs batch prompt/negative-prompt dimension mismatch." + }, + { + "left": "issue:7636", + "right": "issue:8609", + "accept": false, + "reason": "One is a usage/how-to question for SDXL ControlNet tile; the other is a custom pipeline/IP-Adapter integration issue." + }, + { + "left": "issue:8493", + "right": "issue:8960", + "accept": false, + "reason": "Unrelated code paths: SD3 state_dict loading failure vs gradient accumulation behavior in a training example." + }, + { + "left": "issue:1709", + "right": "issue:3381", + "accept": false, + "reason": "Different pipeline bugs: ONNX `.astype` attribute error vs inpaint batch discoloration." + }, + { + "left": "issue:1931", + "right": "issue:4631", + "accept": false, + "reason": "Both are runtime errors, but they stem from different causes: dtype mismatch vs Karras-sigma scalar conversion in a scheduler." + }, + { + "left": "issue:2020", + "right": "issue:5374", + "accept": false, + "reason": "Different conversion/loading errors: dance diffusion converter failure vs unexpected `checkpoint_path` argument." + }, + { + "left": "issue:4668", + "right": "issue:7974", + "accept": false, + "reason": "Both mention bad image output, but they affect different features (Kohya-style LoRA vs inpaint with IP-Adapter)." + }, + { + "left": "issue:4913", + "right": "issue:8509", + "accept": false, + "reason": "Not the same change: a specific ControlNet model page/issue vs a separate ControlNet++ topic." + }, + { + "left": "issue:5578", + "right": "issue:6359", + "accept": false, + "reason": "Missing `model_index.json` and missing `get_velocity` are different loader/scheduler errors." + }, + { + "left": "issue:11148", + "right": "issue:8514", + "accept": false, + "reason": "PEFT adapter loading state bug is unrelated to EMAModel parallel fine-tuning failure." + }, + { + "left": "issue:12104", + "right": "issue:13286", + "accept": false, + "reason": "Different problems: an IndexError from empty dimension vs torchao version support/quantization compatibility." + }, + { + "left": "issue:2370", + "right": "issue:6092", + "accept": false, + "reason": "Both concern LoRA training, but one is a GPU capacity question and the other is a training example not updating." + }, + { + "left": "issue:7021", + "right": "issue:8441", + "accept": false, + "reason": "Both involve HF_HOME, but one is an import error and the other is an infinite recursion with relative paths." + }, + { + "left": "issue:4361", + "right": "issue:8894", + "accept": false, + "reason": "Shared tensors/safetensors save issue is unrelated to the CM/CT unconditional training script error." + }, + { + "left": "issue:10334", + "right": "issue:9768", + "accept": false, + "reason": "Both mention NaNs, but one is Sana on Mac/MPS/CPU and the other is torch 2.5 CuDNN SDPA-specific." + }, + { + "left": "issue:1611", + "right": "issue:852", + "accept": false, + "reason": "Different platform/model issues: StableDiffusionMegaPipeline regression vs MPS `device_map` keyword crash." + }, + { + "left": "issue:3494", + "right": "issue:7142", + "accept": false, + "reason": "Different output-quality problems with different schedulers/models; not the same concrete bug." + }, + { + "left": "issue:6320", + "right": "issue:9298", + "accept": false, + "reason": "Remote model lookup failure is unrelated to a PyTorch storage-type deserialization error." + }, + { + "left": "issue:1791", + "right": "issue:455", + "accept": false, + "reason": "Both are MPS-related, but one is pipeline-level unsupported on Mac/MPS and the other is a specific `aten::index.Tensor` op limitation." + }, + { + "left": "issue:2674", + "right": "issue:4159", + "accept": false, + "reason": "LoRA dependency/requirements issue is unrelated to DiffEdit VRAM usage." + }, + { + "left": "issue:4324", + "right": "issue:8234", + "accept": false, + "reason": "Both are TypeErrors, but one is `NoneType` iteration in UNet forward and the other is multiplying a dict `ip_adapter_scale` by a tensor." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 284, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10790", + "issue:11000", + "issue:11136", + "issue:11162", + "issue:11163", + "issue:11661", + "issue:12012", + "issue:124", + "issue:12533", + "issue:12540", + "issue:2107", + "issue:2262", + "issue:2844", + "issue:2961", + "issue:3171", + "issue:3194", + "issue:3883", + "issue:3948", + "issue:4080", + "issue:4134", + "issue:4194", + "issue:4403", + "issue:4557", + "issue:4589", + "issue:4648", + "issue:4720", + "issue:5225", + "issue:5371", + "issue:5593", + "issue:5989", + "issue:6001", + "issue:6157", + "issue:6320", + "issue:6807", + "issue:7456", + "issue:7535", + "issue:7802", + "issue:7842", + "issue:843", + "issue:8551", + "issue:8577", + "issue:8943", + "issue:8950", + "issue:9248", + "issue:9511", + "issue:9613", + "issue:9731" + ], + "soft_pairs": [ + "issue:4403|issue:6157", + "issue:4720|issue:7535", + "issue:5593|issue:6807", + "issue:11661|issue:8950", + "issue:2844|issue:5225", + "issue:4134|issue:7842", + "issue:10790|issue:9511", + "issue:11000|issue:7456", + "issue:11136|issue:12540", + "issue:11162|issue:11163", + "issue:12012|issue:12533", + "issue:124|issue:2961", + "issue:2107|issue:3948", + "issue:2262|issue:3883", + "issue:3171|issue:843", + "issue:4080|issue:4589", + "issue:4080|issue:8577", + "issue:4194|issue:6001", + "issue:4648|issue:8943", + "issue:5371|issue:7802", + "issue:5989|issue:9248", + "issue:6320|issue:8551", + "issue:3194|issue:4557", + "issue:9613|issue:9731" + ], + "prepared_review_unit_hash": "b5031db52ee5be9e3ba7002723b7a2745309bc392fbb20d7ae73e40ae78cfdaf", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32996, + "estimated_input_tokens": 8249, + "estimated_eval_tokens": 16754 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated pipeline bugs, training issues, documentation requests, and a few Wan/Sana/ControlNet topics. None of the proposed soft edges look like the same underlying bug or change, so all should be rejected. No PRs are present.", + "confidence": 0.93, + "canonical_issue_reason": "issue:11162 is the clearest concrete bug among the Wan-related items and has some cross-references, but the overall set is too mixed to treat it as a true canonical for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11162 is the best single representative only in a loose sense: it is a specific, reproducible pipeline defect and is more substantive than the docs/training questions, though it does not match most other items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4403", + "right": "issue:6157", + "accept": false, + "reason": "Both mention runtime failures, but one is a Half LayerNorm kernel issue and the other is ControlNet/IP-Adapter incompatibility; different code paths." + }, + { + "left": "issue:4720", + "right": "issue:7535", + "accept": false, + "reason": "AutoencoderTiny pipeline incompatibility is unrelated to a type-hint mismatch; not the same bug." + }, + { + "left": "issue:5593", + "right": "issue:6807", + "accept": false, + "reason": "AutoPipeline ControlNet conversion failure is unrelated to MPS test collection failures." + }, + { + "left": "issue:11661", + "right": "issue:8950", + "accept": false, + "reason": "Different bugs in different areas: flux-control training arg handling vs SD3 LoRA training behavior." + }, + { + "left": "issue:2844", + "right": "issue:5225", + "accept": false, + "reason": "StableUnCLIP image-embedding input error is unrelated to SDXL VRAM exhaustion." + }, + { + "left": "issue:4134", + "right": "issue:7842", + "accept": false, + "reason": "MPS ControlNet tensor-size mismatch and DeepFloyd stage-2 size mismatch are distinct model/pipeline failures." + }, + { + "left": "issue:10790", + "right": "issue:9511", + "accept": false, + "reason": "CPU offload VRAM reduction for Flux ControlNet is not the same as multi-ControlNet batching support." + }, + { + "left": "issue:11000", + "right": "issue:7456", + "accept": false, + "reason": "Wan I2V missing shift argument is a specific API bug, while the other is a generic missing-raise report." + }, + { + "left": "issue:11136", + "right": "issue:12540", + "accept": false, + "reason": "Sana SCM timestep support and Sana combined timestep guidance embeddings are related to Sana but target different incompatible behaviors." + }, + { + "left": "issue:11162", + "right": "issue:11163", + "accept": false, + "reason": "Both are WanImageToVideoPipeline issues, but one is offloading-related and the other is latent-preparation math; different defects." + }, + { + "left": "issue:12012", + "right": "issue:12533", + "accept": false, + "reason": "Wan 2.2 first-block-cache context error is unrelated to hooks conflicts between context parallelism and CPU offload." + }, + { + "left": "issue:124", + "right": "issue:2961", + "accept": false, + "reason": "A documentation request for dataset creation is not the same as a StableUnCLIP training example request." + }, + { + "left": "issue:2107", + "right": "issue:3948", + "accept": false, + "reason": "Low-resolution black/glitchy images and pale generated images are different image-quality problems with different causes." + }, + { + "left": "issue:2262", + "right": "issue:3883", + "accept": false, + "reason": "LoRA usage question is unrelated to a dreambooth compatibility issue." + }, + { + "left": "issue:3171", + "right": "issue:843", + "accept": false, + "reason": "LPW prompt support for controlnet and prompt syntax documentation are both feature/docs topics, but not the same request." + }, + { + "left": "issue:4080", + "right": "issue:4589", + "accept": false, + "reason": "Adding SDXL inpainting and asking for SDXL ControlNet img2img/inpaint pipelines are related area-wise but distinct feature requests." + }, + { + "left": "issue:4080", + "right": "issue:8577", + "accept": false, + "reason": "SDXL inpainting pipeline request is unrelated to Differential Diffusion with SD3." + }, + { + "left": "issue:4194", + "right": "issue:6001", + "accept": false, + "reason": "Single-file VAE failure and refiner returning the wrong pipeline are different pipeline-loading bugs." + }, + { + "left": "issue:4648", + "right": "issue:8943", + "accept": false, + "reason": "Missing config.json for a local ControlNet directory is unrelated to a libtorch shared library install error." + }, + { + "left": "issue:5371", + "right": "issue:7802", + "accept": false, + "reason": "BLIP inpainting support and OLSS scheduler support are separate feature requests." + }, + { + "left": "issue:5989", + "right": "issue:9248", + "accept": false, + "reason": "A safetensors.torch bug is not the same as a pip install command/request." + }, + { + "left": "issue:6320", + "right": "issue:8551", + "accept": false, + "reason": "Emu2 remote model lookup and SDXL inpaint VAE device placement are unrelated bugs." + }, + { + "left": "issue:3194", + "right": "issue:4557", + "accept": false, + "reason": "Bitsandbytes package metadata error is unrelated to the super __getattr__ AttributeError." + }, + { + "left": "issue:9613", + "right": "issue:9731", + "accept": false, + "reason": "Timesteps.scale regression and Playground2.5 LoRA training guidance are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 285, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10191", + "issue:1061", + "issue:10887", + "issue:11962", + "issue:1439", + "issue:175", + "issue:1801", + "issue:1896", + "issue:2024", + "issue:2202", + "issue:2392", + "issue:2439", + "issue:2772", + "issue:2883", + "issue:351", + "issue:4122", + "issue:4213", + "issue:4529", + "issue:4593", + "issue:4885", + "issue:4888", + "issue:5112", + "issue:5284", + "issue:5432", + "issue:5463", + "issue:5703", + "issue:5968", + "issue:5972", + "issue:6359", + "issue:6793", + "issue:7041", + "issue:7054", + "issue:7191", + "issue:7264", + "issue:7408", + "issue:7616", + "issue:7681", + "issue:775", + "issue:7757", + "issue:8523", + "issue:8546", + "issue:8556", + "issue:8645", + "issue:9134", + "issue:9181", + "issue:9241", + "issue:9331", + "issue:9941" + ], + "soft_pairs": [ + "issue:4885|issue:5112", + "issue:5703|issue:9181", + "issue:7191|issue:9331", + "issue:7681|issue:9941", + "issue:2772|issue:5463", + "issue:4122|issue:7041", + "issue:7616|issue:8523", + "issue:10191|issue:7757", + "issue:11962|issue:9134", + "issue:2392|issue:6793", + "issue:2024|issue:351", + "issue:4213|issue:775", + "issue:4529|issue:7054", + "issue:4593|issue:5972", + "issue:8546|issue:8556", + "issue:1896|issue:2439", + "issue:1061|issue:175", + "issue:10887|issue:7264", + "issue:1439|issue:1801", + "issue:2202|issue:5284", + "issue:2883|issue:7408", + "issue:4888|issue:5432", + "issue:5968|issue:9241", + "issue:6359|issue:8645" + ], + "prepared_review_unit_hash": "c8eaa891cf70653ed1ba2fad281ea18f867bf6f5f90bf54f7016fe6e13e0593b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34062, + "estimated_input_tokens": 8516, + "estimated_eval_tokens": 17288 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated issues across different subsystems; I only accept one soft duplicate edge in the SD3 `from_single_file` loading path. All other candidate pairs look like different bugs, features, or error modes and should remain separate.", + "confidence": 0.84, + "canonical_issue_reason": "issue:8556 is the most concrete, reproducible report in the only accepted duplicate pair: it pinpoints the SD3 `from_single_file` meta-tensor copy failure, which is more actionable than the broader support request in 8546.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8556 is the best representative issue here because it has a specific failure mode and a clear code path, making it the strongest anchor for triage.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4885", + "right": "issue:5112", + "accept": false, + "reason": "Both mention StableDiffusionXL ControlNet img2img, but one is about LoRA weights not loading and the other is a tensor-shape/type error; different bugs." + }, + { + "left": "issue:5703", + "right": "issue:9181", + "accept": false, + "reason": "`ddim_inverse` noise reconstruction and a stray noise dot in ControlNet are different symptoms and likely different code paths." + }, + { + "left": "issue:7191", + "right": "issue:9331", + "accept": false, + "reason": "A vague import problem is not the same as a specific `FlowMatchEulerDiscreteScheduler.index_for_timestep` bug." + }, + { + "left": "issue:7681", + "right": "issue:9941", + "accept": false, + "reason": "One is an OpenSSL/lib import failure, the other is a Stable Diffusion Colab runtime error; no shared underlying bug is clear." + }, + { + "left": "issue:2772", + "right": "issue:5463", + "accept": false, + "reason": "`train_controlnet.py` rejecting local datasets and an `UnboundLocalError` on `image_latents` are distinct training-script problems." + }, + { + "left": "issue:4122", + "right": "issue:7041", + "accept": false, + "reason": "Wrong timestep count in `DPMSolverMultistepScheduler` is unrelated to a segmentation fault when `num_inference_steps > 1`." + }, + { + "left": "issue:7616", + "right": "issue:8523", + "accept": false, + "reason": "Low-denoise artifacts in Playground 2.5 and a generic CUDA error are not the same bug." + }, + { + "left": "issue:10191", + "right": "issue:7757", + "accept": false, + "reason": "GPU device selection is a different problem from multi-GPU OOM in `train_controlnet_sdxl.py`; same area, different failure." + }, + { + "left": "issue:11962", + "right": "issue:9134", + "accept": false, + "reason": "A feature request for GGUF support and a report about Flux LoRAs trained with SimpleTuner are not the same underlying change/bug." + }, + { + "left": "issue:2392", + "right": "issue:6793", + "accept": false, + "reason": "An `img2img` `prompt_embeds` validation error is unrelated to hydra serialization failures." + }, + { + "left": "issue:2024", + "right": "issue:351", + "accept": false, + "reason": "A corrupted notebook file and a CUDA model-loading issue are unrelated." + }, + { + "left": "issue:4213", + "right": "issue:775", + "accept": false, + "reason": "`from_single_file()` needing accelerate and fp16/autocast issues are different setup/runtime problems." + }, + { + "left": "issue:4529", + "right": "issue:7054", + "accept": false, + "reason": "Both are LoRA-related, but one is an unexpected `network_alpha` kwarg and the other mutates/empties the input state dict; not the same bug." + }, + { + "left": "issue:4593", + "right": "issue:5972", + "accept": false, + "reason": "Automatic1111 LoRA rank handling and Min-SNR documentation are unrelated." + }, + { + "left": "issue:8546", + "right": "issue:8556", + "accept": true, + "reason": "Both are about SD3 `from_single_file` support/loading failure in the same code path; one is the broad support gap, the other the concrete meta-tensor error." + }, + { + "left": "issue:1896", + "right": "issue:2439", + "accept": false, + "reason": "A dict-size type error in CLIP-guided SD and an inpainting loading/running problem are different failures." + }, + { + "left": "issue:1061", + "right": "issue:175", + "accept": false, + "reason": "A notebook/example update request is unrelated to a `torch.manual_seed` correctness question." + }, + { + "left": "issue:10887", + "right": "issue:7264", + "accept": false, + "reason": "A missing `StableDiffusionXLTrainer` import and custom model serialization/loading are different import/API issues." + }, + { + "left": "issue:1439", + "right": "issue:1801", + "accept": false, + "reason": "`FeatureExtractionMixin` missing from transformers and a `getattr()` type error are not the same bug." + }, + { + "left": "issue:2202", + "right": "issue:5284", + "accept": false, + "reason": "OpenVINO pipeline support and ControlNet-LLLite support are separate feature requests." + }, + { + "left": "issue:2883", + "right": "issue:7408", + "accept": false, + "reason": "Image-to-video pipeline and FRESCO pipeline requests are different features." + }, + { + "left": "issue:4888", + "right": "issue:5432", + "accept": false, + "reason": "Offline safetensors loading and blank validation images in SDXL LoRA training are unrelated." + }, + { + "left": "issue:5968", + "right": "issue:9241", + "accept": false, + "reason": "An ONNX conversion script request and an XLab-to-Diffusers LoRA conversion script are different tooling requests." + }, + { + "left": "issue:6359", + "right": "issue:8645", + "accept": false, + "reason": "A scheduler `get_velocity`/`add_noise` issue and a missing `create_diffusers_controlnet_model_from_ldm` helper are unrelated code gaps." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The conclusions are conservative and grounded in the packet. The only accepted soft edge, issue:8546 \u2194 issue:8556, is well supported by the shared SD3 `from_single_file` loading path, and the rejected pairs are reasonably distinguished by different titles/error modes without overstating evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 286, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10198", + "issue:1033", + "issue:10448", + "issue:11036", + "issue:11351", + "issue:11418", + "issue:11580", + "issue:1160", + "issue:11648", + "issue:1304", + "issue:1323", + "issue:1566", + "issue:175", + "issue:2024", + "issue:2068", + "issue:2737", + "issue:2775", + "issue:3184", + "issue:3207", + "issue:3377", + "issue:3612", + "issue:3700", + "issue:3730", + "issue:4210", + "issue:4312", + "issue:4559", + "issue:4708", + "issue:4921", + "issue:5037", + "issue:5245", + "issue:525", + "issue:5256", + "issue:5433", + "issue:5515", + "issue:5685", + "issue:5829", + "issue:5905", + "issue:7054", + "issue:7267", + "issue:7548", + "issue:7921", + "issue:8578", + "issue:8970", + "issue:8975", + "issue:8997", + "issue:9096", + "issue:9147", + "issue:9224" + ], + "soft_pairs": [ + "issue:7054|issue:8975", + "issue:1323|issue:2068", + "issue:1566|issue:5829", + "issue:8970|issue:9224", + "issue:3700|issue:5037", + "issue:7548|issue:9096", + "issue:5515|issue:5685", + "issue:1304|issue:3377", + "issue:175|issue:3207", + "issue:2024|issue:525", + "issue:2775|issue:4210", + "issue:3730|issue:4312", + "issue:4708|issue:9147", + "issue:5256|issue:5905", + "issue:1033|issue:3184", + "issue:7267|issue:8578", + "issue:10198|issue:11418", + "issue:11648|issue:8997", + "issue:10448|issue:11580", + "issue:11036|issue:11351", + "issue:1160|issue:5245", + "issue:2737|issue:4559", + "issue:3612|issue:7921", + "issue:4921|issue:5433" + ], + "prepared_review_unit_hash": "c58462cd49b69b4b9bf82c546230de6b36bacefc56cec3468ffffce01571e052", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33542, + "estimated_input_tokens": 8386, + "estimated_eval_tokens": 17028 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is noisy: the soft-linked pairs are mostly topic-adjacent but not the same underlying bug/change, so no duplicates should be merged.", + "confidence": 0.94, + "canonical_issue_reason": "No 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"issue:3207", + "accept": false, + "reason": "Manual seed usage in example code is unrelated to attention implementation support for torch<2.0." + }, + { + "left": "issue:2024", + "right": "issue:525", + "accept": false, + "reason": "A corrupted notebook file and local image-loading failure are separate problems." + }, + { + "left": "issue:2775", + "right": "issue:4210", + "accept": false, + "reason": "torch._dynamo.optimize misuse and UNet attention_mask handling are different bugs." + }, + { + "left": "issue:3730", + "right": "issue:4312", + "accept": false, + "reason": "Wrong inpainting timestep blending and SAG support for inpainting/img2img are not the same issue." + }, + { + "left": "issue:4708", + "right": "issue:9147", + "accept": false, + "reason": "These are both import-related, but the failures and affected code paths differ." + }, + { + "left": "issue:5256", + "right": "issue:5905", + "accept": false, + "reason": "Adding Insta-Flow training support and requesting diffusion-GAN support are distinct feature requests." + }, + { + "left": "issue:1033", + "right": "issue:3184", + "accept": false, + "reason": "An IndexError in stable_diffusion_mega and generator-list handling in lpw_stable_diffusion are different pipeline bugs." + }, + { + "left": "issue:7267", + "right": "issue:8578", + "accept": false, + "reason": "Broken local data loading in ControlNet training and a meta-tensor copy error in sd_turbo are unrelated failures." + }, + { + "left": "issue:10198", + "right": "issue:11418", + "accept": false, + "reason": "Flux weight mismatch and adding a Flux fp8 checkpoint are adjacent topics, but not the same bug or change." + }, + { + "left": "issue:11648", + "right": "issue:8997", + "accept": false, + "reason": "LoRA loading with an fp8 transformer and a Kolors scheduler error are unrelated." + }, + { + "left": "issue:10448", + "right": "issue:11580", + "accept": false, + "reason": "DDUF mmap loading and FLUX fp8 support are different features." + }, + { + "left": "issue:11036", + "right": "issue:11351", + "accept": false, + "reason": "Latent-condition operations and Wan i2v float32 behavior do not share the same underlying problem." + }, + { + "left": "issue:1160", + "right": "issue:5245", + "accept": false, + "reason": "A pytest hang and a pipenv import freeze are different environments and likely different causes." + }, + { + "left": "issue:2737", + "right": "issue:4559", + "accept": false, + "reason": "CLIP Guidance scheduler support and long weighted prompt support are separate feature requests." + }, + { + "left": "issue:3612", + "right": "issue:7921", + "accept": false, + "reason": "ControlNet preprocessor setup and IP-Adapter guidance timing are related to control features but not the same concrete issue." + }, + { + "left": "issue:4921", + "right": "issue:5433", + "accept": false, + "reason": "Refiner detail loss and DPM++/SDXL artifact reports overlap only at a high level; they are not the same bug." + } + ] + }, + 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"766aff1d3588772a55e4fc1ea7a24bd04f3c351d767bbe80a9a6ddffecb94fea", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33579, + "estimated_input_tokens": 8395, + "estimated_eval_tokens": 17046 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: most items are unrelated bug reports with only superficial keyword overlap (dtype, noise, errors, pipelines). 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different code paths." + }, + { + "left": "issue:1677", + "right": "issue:2228", + "accept": false, + "reason": "One is a wrong-dtype call on StableDiffusionPipeline, the other is a GPU placement/loading problem; not the same underlying defect." + }, + { + "left": "issue:13256", + "right": "issue:5022", + "accept": false, + "reason": "Version-compatibility question versus a specific import NameError; different problems and likely different fixes." + }, + { + "left": "issue:10052", + "right": "issue:6359", + "accept": false, + "reason": "A syntax error report and a scheduler helper/method error are unrelated." + }, + { + "left": "issue:10715", + "right": "issue:11023", + "accept": false, + "reason": "Both describe poor outputs, but one is black images on ROCm and the other is blur in a custom pipeline; not one concrete bug." + }, + { + "left": "issue:12752", + "right": "issue:13429", + "accept": false, + "reason": "Both are about image-edit pipelines/models, but one asks for Z-Image img2img/inpainting support and the other adds a specific model integration." + }, + { + "left": "issue:1717", + "right": "issue:3767", + "accept": false, + "reason": "Offline cached-model loading and FrozenDict mutability are unrelated." + }, + { + "left": "issue:2518", + "right": "issue:5070", + "accept": false, + "reason": "xformers support in an example script and controlnet example flags are different feature requests." + }, + { + "left": "issue:4305", + "right": "issue:5143", + "accept": false, + "reason": "A torch.compile graph break and tiny numerical differences in UNet outputs are not the same bug." + }, + { + "left": "issue:4419", + "right": "issue:7053", + "accept": false, + "reason": "Offset-noise inference behavior and missing class conditioning in UNet3DConditionModel concern different model behaviors." + }, + { + "left": "issue:4605", + "right": "issue:6079", + "accept": false, + "reason": "Long-prompt-weighting inpaint error and a scalar-type half/float mismatch are different failures." + }, + { + "left": "issue:5143", + "right": "issue:5574", + "accept": false, + "reason": "Minor output variation and LoRA attention-parameter training are unrelated." + }, + { + "left": "issue:12613", + "right": "issue:13350", + "accept": false, + "reason": "NaNs in Wan 2.2 i2v and batch-inference usage for FLUX.2 are different model/workflow issues." + }, + { + "left": "issue:6183", + "right": "issue:7591", + "accept": false, + "reason": "Shape issue in conversion code and a local_files_only HeaderTooLarge error are unrelated." + }, + { + "left": "issue:6661", + "right": "issue:9731", + "accept": false, + "reason": "MPS OOM during training and a how-to question about Playground2.5 LoRA training are not the same underlying issue." + }, + { + "left": "issue:11436", + "right": "issue:12632", + "accept": false, + "reason": "Both are dtype mismatch reports, but they involve different models and exact tensor type combinations; not enough evidence they share one root cause." + }, + { + "left": "issue:4480", + "right": "issue:7842", + "accept": false, + "reason": "MPS fp16 kernel crash and an image-size divisibility tensor mismatch are distinct failure modes." + }, + { + "left": "issue:5630", + "right": "issue:8450", + "accept": false, + "reason": "Both mention noise in SDXL img2img/inpainting, but one is about leftover noise from LMS scheduling and the other is strength=1.0 inpainting behavior; too different to merge." + }, + { + "left": "issue:6016", + "right": "issue:6560", + "accept": false, + "reason": "A conversion torch.Size() issue and a LoRA regression shape-size error are separate shape-related bugs, not clearly the same one." + }, + { + "left": "issue:1974", + "right": "issue:3184", + "accept": false, + "reason": "Generator-list handling in Euler schedulers and a community-pipeline feature issue are not the same defect." + }, + { + "left": "issue:1064", + "right": "issue:1961", + "accept": false, + "reason": "A scheduler add_noise error and a generic ColossalAI error are unrelated." + }, + { + "left": "issue:2549", + "right": "issue:2728", + "accept": false, + "reason": "An SD2 UNet model loading/workflow problem and a safetensors-from_pretrained load failure are different model-loading issues." + }, + { + "left": "issue:2941", + "right": "issue:4767", + "accept": false, + "reason": "The first reports undesired SD outputs with EulerAncestralDiscreteScheduler; the second is a feature question about prediction_type='sample' support. Not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 288, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10514", + "issue:10636", + "issue:10768", + "issue:10772", + "issue:1083", + "issue:11047", + "issue:11145", + "issue:11148", + "issue:11561", + "issue:1160", + "issue:1195", + "issue:12037", + "issue:1205", + "issue:12053", + "issue:12108", + "issue:12308", + "issue:12540", + "issue:1284", + "issue:13430", + "issue:1486", + "issue:1535", + "issue:1544", + "issue:2221", + "issue:2412", + "issue:2439", + "issue:2799", + "issue:2844", + "issue:3101", + 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"prepared_review_unit_hash": "dcbc386f4123a7c2ba99a807fdc2c584269c60ce0687966bc24029037431935c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33714, + "estimated_input_tokens": 8429, + "estimated_eval_tokens": 17114 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a set of unrelated issue reports across different pipelines/models; none of the soft-similarity pairs look like true duplicates of the same bug or feature change.", + "confidence": 0.91, + "canonical_issue_reason": "No single canonical issue clearly emerges because the items span unrelated subsystems and failure modes rather than one duplicate thread.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2799 is the strongest representative issue because it is concrete, broadly understandable, and describes a specific pipeline/checkpoint mismatch bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10636", + "right": "issue:8989", + "accept": false, + "reason": "Different problem areas: value_guided_sampling.py internals vs Stable Audio sequential offloading." + }, + { + "left": "issue:487", + "right": "issue:660", + "accept": false, + "reason": "Both involve M1/FP16, but one is a StableDiffusionPipeline CPU failure and the other is an MPS dtype/revision case." + }, + { + "left": "issue:11148", + "right": "issue:12108", + "accept": false, + "reason": "PEFT adapter state bug is unrelated to scheduler flow-matching breakage in Qwen Image/Chroma." + }, + { + "left": "issue:4332", + "right": "issue:984", + "accept": false, + "reason": "xformers support for Kandinsky2.2 is unrelated to a tensor interpolation batch-size issue." + }, + { + "left": "issue:5046", + "right": "issue:5760", + "accept": false, + "reason": "Completely different models and tasks: DragonDiffusion editing vs video-to-audio synthesis." + }, + { + "left": "issue:5274", + "right": "issue:5436", + "accept": false, + "reason": "Both are training errors, but one is a mixed-precision dtype mismatch and the other is a ControlNet XL example failure." + }, + { + "left": "issue:1160", + "right": "issue:5595", + "accept": false, + "reason": "A test hang/freezing bug is not the same as a height/width divisibility validation error." + }, + { + "left": "issue:1083", + "right": "issue:3116", + "accept": false, + "reason": "FP16 ONNX correctness is unrelated to KDPM2DiscreteScheduler latent noise in image2image." + }, + { + "left": "issue:4305", + "right": "issue:5570", + "accept": false, + "reason": "torch.compile graph breaks and missing compute_snr are different regressions in different parts of the stack." + }, + { + "left": "issue:2221", + "right": "issue:2412", + "accept": false, + "reason": "colossalai integration error is unrelated to the dreambooth training issue." + }, + { + "left": "issue:1544", + "right": "issue:3799", + "accept": false, + "reason": "One is a runtime scheduler method bug; the other is a typing/inference issue for from_pretrained." + }, + { + "left": "issue:3101", + "right": "issue:5951", + "accept": false, + "reason": "ControlNet training example errors are not the same as Pixart training issues." + }, + { + "left": "issue:2439", + "right": "issue:2799", + "accept": false, + "reason": "Inpainting pipeline load/run problems are broader and different from checkpoint-pipeline mismatch detection." + }, + { + "left": "issue:10010", + "right": "issue:5578", + "accept": false, + "reason": "Both mention model_index.json, but one is a specific HF URL 404 and the other is a generic OSError on a different path/context." + }, + { + "left": "issue:10514", + "right": "issue:12540", + "accept": false, + "reason": "Both are Sana-related, but resolution binning/sample_size and timestep-guidance embedding compatibility are distinct bugs." + }, + { + "left": "issue:10768", + "right": "issue:11145", + "accept": false, + "reason": "Negative prompt support in Hunyuan video is unrelated to Flux Fill LoRA/dreambooth support." + }, + { + "left": "issue:10772", + "right": "issue:12308", + "accept": false, + "reason": "A Sana ControlNet feature request is unrelated to flash-attn kernel support for non-Hopper GPUs." + }, + { + "left": "issue:11047", + "right": "issue:9220", + "accept": false, + "reason": "Missing PAG inpaint model support is not the same as an undefined variable in PAG pipeline code." + }, + { + "left": "issue:11561", + "right": "issue:13430", + "accept": false, + "reason": "Both ask for support, but they target different models/features and do not share the same code-path bug." + }, + { + "left": "issue:1195", + "right": "issue:3162", + "accept": false, + "reason": "Memory-efficient attention fp16 behavior is unrelated to missing learned_classifier_free_sampling_embeddings." + }, + { + "left": "issue:12037", + "right": "issue:12053", + "accept": false, + "reason": "Both involve LoRA compatibility, but they concern different model families and different incompatibility mechanisms." + }, + { + "left": "issue:1205", + "right": "issue:4436", + "accept": false, + "reason": "These are opposite conversion directions with different formats and pipelines, not the same bug." + }, + { + "left": "issue:1284", + "right": "issue:1486", + "accept": false, + "reason": "Batch-size performance slowdown is unrelated to the DDIMScheduler prediction_type='sample' bug." + }, + { + "left": "issue:1535", + "right": "issue:2844", + "accept": false, + "reason": "A feature request for an image variation pipeline is not the same as an image-embeddings runtime error in StableUnCLIPImg2ImgPipeline." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 289, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1083", + "issue:1284", + "issue:1323", + "issue:1655", + "issue:1909", + "issue:1931", + "issue:201", + "issue:2331", + "issue:2412", + "issue:2414", + "issue:2857", + "issue:3198", + "issue:3441", + "issue:3494", + "issue:3660", + "issue:3980", + "issue:4075", + "issue:4217", + "issue:4308", + "issue:4416", + "issue:4483", + "issue:4789", + "issue:4911", + "issue:499", + "issue:5034", + "issue:5120", + "issue:5166", + "issue:542", + "issue:543", + "issue:5515", + "issue:5598", + "issue:5633", + "issue:5645", + "issue:6028", + "issue:660", + "issue:6688", + "issue:6801", + "issue:6914", + "issue:7240", + "issue:7428", + "issue:7670", + "issue:7785", + "issue:8393", + "issue:8485", + "issue:8555", + "issue:9297", + "issue:9479", + "issue:9813" + ], + "soft_pairs": [ + "issue:1909|issue:4483", + "issue:201|issue:4416", + "issue:2857|issue:7428", + "issue:3198|issue:4911", + "issue:4075|issue:4308", + "issue:4217|issue:7785", + "issue:5598|issue:5633", + "issue:7428|issue:7670", + "issue:8393|issue:9297", + "issue:8485|issue:8555", + "issue:6914|issue:9813", + "issue:6028|issue:9479", + "issue:5515|issue:5645", + "issue:1931|issue:660", + "issue:1284|issue:5034", + "issue:1323|issue:4789", + "issue:2414|issue:6801", + "issue:3441|issue:3660", + "issue:3494|issue:3980", + "issue:1083|issue:542", + "issue:2331|issue:6688", + "issue:2412|issue:5120", + "issue:5166|issue:7240", + "issue:1655|issue:499", + "issue:1655|issue:543" + ], + "prepared_review_unit_hash": "fda077c2fa037a28c7c03b0456927d63e137395866d91f7c78641b1fc71f459a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33590, + "estimated_input_tokens": 8398, + "estimated_eval_tokens": 17052 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: most items are distinct bug reports or feature requests around diffusers pipelines, loading, fp16, and testing, with no strong evidence that any soft pair is the same underlying issue. I would not collapse any of the listed pairs into duplicates.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 2331 has the strongest activity/inbound references and is a central repo topic, but it is a feature request and does not serve as a clear duplicate target for the rest of the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1909", + "right": "issue:4483", + "accept": false, + "reason": "Both mention generators, but one is a scheduler API mismatch and the other is SDXL nondeterminism; different bug paths." + }, + { + "left": "issue:201", + "right": "issue:4416", + "accept": false, + "reason": "Both are test-related, but they concern different test coverage areas and do not describe the same defect." + }, + { + "left": "issue:2857", + "right": "issue:7428", + "accept": false, + "reason": "Both are feature requests for new model support, but they target different models and are not the same change." + }, + { + "left": "issue:3198", + "right": "issue:4911", + "accept": false, + "reason": "Both involve loading, but one is safetensors textual inversion and the other is custom text_encoder loading from a single-file checkpoint." + }, + { + "left": "issue:4075", + "right": "issue:4308", + "accept": false, + "reason": "Both are docstring issues, but they concern different pipelines and different parameter descriptions." + }, + { + "left": "issue:4217", + "right": "issue:7785", + "accept": false, + "reason": "Both are performance complaints, but one is safetensors loading and the other is slow first inference in a later diffusers release." + }, + { + "left": "issue:5598", + "right": "issue:5633", + "accept": false, + "reason": "Different code paths: one is _modify_text_encoder, the other is transformer_temporal.py." + }, + { + "left": "issue:7428", + "right": "issue:7670", + "accept": false, + "reason": "Both are support requests, but for different algorithms/models; not the same underlying feature." + }, + { + "left": "issue:8393", + "right": "issue:9297", + "accept": false, + "reason": "Both mention load time, but one is checkpoint shard loading and the other is loading multiple LoRAs." + }, + { + "left": "issue:8485", + "right": "issue:8555", + "accept": false, + "reason": "Both are SD3-related feature requests, but one asks for LoRA support and the other for FP8/text-encoder training availability." + }, + { + "left": "issue:6914", + "right": "issue:9813", + "accept": false, + "reason": "Both touch IP-Adapter, but one is an offload-time AttributeError and the other is batch embed mixing; different concrete bugs." + }, + { + "left": "issue:6028", + "right": "issue:9479", + "accept": false, + "reason": "CUDA OOM in Kandinsky 3.0 is unrelated to inpaint mask leakage." + }, + { + "left": "issue:5515", + "right": "issue:5645", + "accept": false, + "reason": "Related to LCM, but one is missing scheduler initialization and the other is a broader core-support issue." + }, + { + "left": "issue:1931", + "right": "issue:660", + "accept": false, + "reason": "Both mention fp16, but the failure modes and environments differ: SD2 float16 type mismatch vs MPS revision/dtype use." + }, + { + "left": "issue:1284", + "right": "issue:5034", + "accept": false, + "reason": "These are unrelated: batch-size runtime scaling vs checkpoint-loading progress bar display." + }, + { + "left": "issue:1323", + "right": "issue:4789", + "accept": false, + "reason": "One is a Flax dtype-loading bug; the other is a download failure for DeepFloyd IF." + }, + { + "left": "issue:2414", + "right": "issue:6801", + "accept": false, + "reason": "Different loading problems: missing transformers import vs scheduler loading failure." + }, + { + "left": "issue:3441", + "right": "issue:3660", + "accept": false, + "reason": "Both involve PyTorch 2/xformers, but one is VRAM usage and the other is torch.compile incompatibility." + }, + { + "left": "issue:3494", + "right": "issue:3980", + "accept": false, + "reason": "Both report output differences, but for different causes: multidiffusion with schedulers vs prompt length over 75 tokens." + }, + { + "left": "issue:1083", + "right": "issue:542", + "accept": false, + "reason": "Both are ONNX-related, but one is FP16 incorrect output and the other is a general UNet export issue." + }, + { + "left": "issue:2331", + "right": "issue:6688", + "accept": false, + "reason": "Both are pipeline feature requests, but for different additions: ControlNet vs MotionCntrl." + }, + { + "left": "issue:2412", + "right": "issue:5120", + "accept": false, + "reason": "Both concern Dreambooth, but one is a general usage error and the other is a specific prior-preservation training regression." + }, + { + "left": "issue:5166", + "right": "issue:7240", + "accept": false, + "reason": "Both relate to LDM conversion quality, but one is a missing VQ-VAE scaling factor and the other is low-quality output from a different conditional LDM conversion." + }, + { + "left": "issue:1655", + "right": "issue:499", + "accept": false, + "reason": "Completely different areas: StableDiffusionImageVariation initialization vs an unconditional training script failure." + }, + { + "left": "issue:1655", + "right": "issue:543", + "accept": false, + "reason": "Different problems: pipeline initialization vs a DDP stride warning." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 290, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10178", + "issue:10658", + "issue:10743", + "issue:10914", + "issue:12149", + "issue:12499", + "issue:12565", + "issue:1399", + "issue:1608", + "issue:1755", + "issue:1790", + "issue:2480", + "issue:2783", + "issue:2991", + "issue:3336", + "issue:3452", + "issue:3593", + "issue:3698", + "issue:3805", + "issue:3944", + "issue:4241", + "issue:4551", + "issue:4701", + "issue:4972", + "issue:5050", + "issue:5577", + "issue:5687", + "issue:5761", + "issue:5772", + "issue:5905", + "issue:5907", + "issue:6141", + "issue:6709", + "issue:6793", + "issue:6928", + "issue:7002", + "issue:7053", + "issue:730", + "issue:7636", + "issue:8241", + "issue:8613", + "issue:8943", + "issue:9090", + "issue:9227", + "issue:9241", + "issue:988", + "issue:9902" + ], + "soft_pairs": [ + "issue:10658|issue:6928", + "issue:10743|issue:9227", + "issue:3805|issue:730", + "issue:4701|issue:5761", + "issue:5687|issue:9090", + "issue:5772|issue:7053", + "issue:1608|issue:2991", + "issue:3593|issue:4972", + "issue:1790|issue:2480", + "issue:12149|issue:9902", + "issue:1755|issue:3336", + "issue:2783|issue:6141", + "issue:3452|issue:988", + "issue:3698|issue:5905", + "issue:3944|issue:4241", + "issue:5050|issue:9241", + "issue:12499|issue:12565", + "issue:4551|issue:6709", + "issue:10914|issue:8613", + "issue:5577|issue:6793", + "issue:1399|issue:5907", + "issue:7636|issue:8241", + "issue:10178|issue:7002", + "issue:10010|issue:8943" + ], + "prepared_review_unit_hash": "fb201c40ee1713da07e80e1eaac98039427ead092fc650965e254fd95d97a464", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33493, + "estimated_input_tokens": 8374, + "estimated_eval_tokens": 17004 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the items span unrelated bugs and feature requests across FLUX, Wan, LoRA, ControlNet, schedulers, packaging, and training. All soft pairs look like false positives and should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No canonical issue: there is no single underlying bug/change tying these issues together, so none is a reliable duplicate anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "No best issue: none of the issues subsume the others or represent a shared concrete problem; the cluster is too mixed to nominate a representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10658", + "right": "issue:6928", + "accept": false, + "reason": "ONNX Runtime provider_options support and Marigold depthmap colorization are unrelated features." + }, + { + "left": "issue:10743", + "right": "issue:9227", + "accept": false, + "reason": "Zero-3 support for FLUX training is a different change from a FLUX.1-dev training runtime issue." + }, + { + "left": "issue:3805", + "right": "issue:730", + "accept": false, + "reason": "Both mention Colab/local training, but one is a command failure and the other is a general behavior question." + }, + { + "left": "issue:4701", + "right": "issue:5761", + "accept": false, + "reason": "AutoencoderKL float32 CUDA autograd error is unrelated to a consistency decoder cost discussion." + }, + { + "left": "issue:5687", + "right": "issue:9090", + "accept": false, + "reason": "Both involve repeated timesteps, but they are different scheduler/code-path bugs (Karras img2img vs PNDM)." + }, + { + "left": "issue:5772", + "right": "issue:7053", + "accept": false, + "reason": "A dataset performance question is unrelated to UNet3D class-conditioning behavior." + }, + { + "left": "issue:1608", + "right": "issue:2991", + "accept": false, + "reason": "Training stopping at 500 steps on T4 is not the same bug as mixed-precision ControlNet example failure." + }, + { + "left": "issue:3593", + "right": "issue:4972", + "accept": false, + "reason": "LoRA+xformers second-call failure and wuerstchen example failure are different concrete problems." + }, + { + "left": "issue:1790", + "right": "issue:2480", + "accept": false, + "reason": "A general training explanation request is unrelated to missing unet checkpoint folders in DreamBooth." + }, + { + "left": "issue:12149", + "right": "issue:9902", + "accept": false, + "reason": "These are different packaging/version issues: pip source mismatch vs conda version pinning/sticking." + }, + { + "left": "issue:1755", + "right": "issue:3336", + "accept": false, + "reason": "The titles are unrelated; no shared bug or change is evident." + }, + { + "left": "issue:2783", + "right": "issue:6141", + "accept": false, + "reason": "Both touch ControlNet, but one is about an img2img/inpainting pipeline and the other about control_mode/resize_mode parameters." + }, + { + "left": "issue:3452", + "right": "issue:988", + "accept": false, + "reason": "Low-VRAM DreamBooth training and FSDP training examples are different features/problems." + }, + { + "left": "issue:3698", + "right": "issue:5905", + "accept": false, + "reason": "Converting an inpainting model and requesting a diffusion-GAN model are unrelated requests." + }, + { + "left": "issue:3944", + "right": "issue:4241", + "accept": false, + "reason": "LoRA rank customization in DreamBooth and LoRA support for unidiffusers are different feature requests." + }, + { + "left": "issue:5050", + "right": "issue:9241", + "accept": false, + "reason": "LoRA config changes and an XLab-to-diffusers conversion script are not the same change." + }, + { + "left": "issue:12499", + "right": "issue:12565", + "accept": false, + "reason": "Wan 2.2 I2V shape mismatch and Wan2.1 i2v running issues are different model-version problems." + }, + { + "left": "issue:4551", + "right": "issue:6709", + "accept": false, + "reason": "SDXL DreamBooth crash and custom diffusion concept-list bug are unrelated training issues." + }, + { + "left": "issue:10914", + "right": "issue:8613", + "accept": false, + "reason": "Unintended CPU offload and OOM from caption_column are different failure modes." + }, + { + "left": "issue:5577", + "right": "issue:6793", + "accept": false, + "reason": "ControlNetModel.from_single_file KeyError and Hydra serialization failure do not share a code path." + }, + { + "left": "issue:1399", + "right": "issue:5907", + "accept": false, + "reason": "VersatileDiffusion unexpected kwarg and DDPMScheduler docs/API mismatch are unrelated API issues." + }, + { + "left": "issue:7636", + "right": "issue:8241", + "accept": false, + "reason": "Using the SDXL tile ControlNet and LEDITS++ model size are different topics." + }, + { + "left": "issue:10178", + "right": "issue:7002", + "accept": false, + "reason": "A UNet3D dimension mismatch is unrelated to an img2img invalid buffer-size error." + }, + { + "left": "issue:10010", + "right": "issue:8943", + "accept": false, + "reason": "A missing FLUX model_index.json and a missing libtorch shared object are unrelated installation/runtime issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 291, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10518", + "issue:10640", + "issue:10803", + "issue:10986", + "issue:11088", + "issue:11314", + "issue:11315", + "issue:11342", + "issue:11412", + "issue:11448", + "issue:11700", + "issue:11989", + "issue:1375", + "issue:1495", + "issue:1931", + "issue:2340", + "issue:2606", + "issue:2659", + "issue:2841", + "issue:2843", + "issue:2905", + "issue:3177", + "issue:3468", + "issue:3724", + "issue:4386", + "issue:459", + "issue:5670", + "issue:5917", + "issue:6113", + "issue:6686", + "issue:672", + "issue:6725", + "issue:7380", + "issue:7483", + "issue:7644", + "issue:7716", + "issue:7773", + "issue:8532", + "issue:8588", + "issue:8671", + "issue:8780", + "issue:8803", + "issue:8805", + "issue:9167", + "issue:9471", + "issue:9670", + "issue:9719", + "issue:9861" + ], + "soft_pairs": [ + "issue:10803|issue:7380", + "issue:11412|issue:7773", + "issue:2843|issue:6686", + "issue:3724|issue:459", + "issue:4386|issue:672", + "issue:5917|issue:6113", + "issue:8588|issue:8805", + "issue:8671|issue:8803", + "issue:2606|issue:3177", + "issue:11315|issue:11342", + "issue:1931|issue:2340", + "issue:11700|issue:8780", + "issue:2841|issue:2905", + "issue:8532|issue:9670", + "issue:9471|issue:9719", + "issue:3468|issue:7716", + "issue:10518|issue:11314", + "issue:10640|issue:7483", + "issue:10986|issue:11088", + "issue:11448|issue:9167", + "issue:1375|issue:1495", + "issue:11989|issue:9861", + "issue:5670|issue:7644", + "issue:2659|issue:6725" + ], + "prepared_review_unit_hash": "c9332c9cab8f03a4d9f0fff93845ad59bc5b546cb3815b6942edb64ab87277ea", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33950, + "estimated_input_tokens": 8488, + "estimated_eval_tokens": 17232 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is not a true duplicate cluster: the items span many unrelated bugs/features across different pipelines, models, and utilities. All soft-edge pairs are only superficially similar and should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue: the cluster is heterogeneous and the paired issues do not share a single underlying bug or change.", + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a good global representative; the items cover unrelated problems, so picking one as canonical would be misleading.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10803", + "right": "issue:7380", + "accept": false, + "reason": "One is a feature request for SANARubber; the other is an implementation request for one-step diffusion. Different goals and code paths." + }, + { + "left": "issue:11412", + "right": "issue:7773", + "accept": false, + "reason": "404 model repo lookup vs. batch-size inference bug; unrelated failure modes." + }, + { + "left": "issue:2843", + "right": "issue:6686", + "accept": false, + "reason": "Checkpoint saving on multi-GPU vs. Dynamo compilation persistence/performance after save-load; not the same bug." + }, + { + "left": "issue:3724", + "right": "issue:459", + "accept": false, + "reason": "Watermarking module idea vs. incremental diffusion concept; both are feature discussions, not the same change." + }, + { + "left": "issue:4386", + "right": "issue:672", + "accept": false, + "reason": "LoRA conversion question vs. ckpt weight conversion feature; related domain, but different request and scope." + }, + { + "left": "issue:5917", + "right": "issue:6113", + "accept": false, + "reason": "Checkpoint conversion regression vs. how-to-use models from a repo; different problem types." + }, + { + "left": "issue:8588", + "right": "issue:8805", + "accept": false, + "reason": "Missing SD3 conversion script vs. SDXL conversion script breakage; both conversion-related but distinct artifacts and failures." + }, + { + "left": "issue:8671", + "right": "issue:8803", + "accept": false, + "reason": "Redundant code in a training script vs. duplicate assignment in attention processor; unrelated code locations and bugs." + }, + { + "left": "issue:2606", + "right": "issue:3177", + "accept": false, + "reason": "DeepSpeed save_state hang vs. DeepSpeed stage-3 offloading issues; both training-related but not the same concrete defect." + }, + { + "left": "issue:11315", + "right": "issue:11342", + "accept": false, + "reason": "Both mention MPS, but one is a HiDream float64 rope bug and the other is a Sana pipeline failure; different code paths." + }, + { + "left": "issue:1931", + "right": "issue:2340", + "accept": false, + "reason": "FP16 dtype mismatch in Stable Diffusion 2 vs. safety checker error in tiny pipeline; unrelated issues." + }, + { + "left": "issue:11700", + "right": "issue:8780", + "accept": false, + "reason": "Pruna integration request for loading pipelines vs. generic model/input dtype mismatch; different scope." + }, + { + "left": "issue:2841", + "right": "issue:2905", + "accept": false, + "reason": "Sampling temperature support vs. Karras sigmas support; both scheduler features, but not the same feature." + }, + { + "left": "issue:8532", + "right": "issue:9670", + "accept": false, + "reason": "Memory growth while loading LoRA weights vs. PEFT-required load failure; distinct loading bugs." + }, + { + "left": "issue:9471", + "right": "issue:9719", + "accept": false, + "reason": "Resource-type inference error from file extensions vs. progress-bar suppression behavior; unrelated." + }, + { + "left": "issue:3468", + "right": "issue:7716", + "accept": false, + "reason": "Missing model_index.json after Dreambooth vs. missing config.json in a different directory; both file-missing symptoms, but different artifacts." + }, + { + "left": "issue:10518", + "right": "issue:11314", + "accept": false, + "reason": "SD3 LoRA Colab script issue vs. Flux controlnet training script mistake; different scripts and bug classes." + }, + { + "left": "issue:10640", + "right": "issue:7483", + "accept": false, + "reason": "DataParallel/multi-GPU FluxInpaint error vs. SDXL LoRA conversion failure; unrelated code paths." + }, + { + "left": "issue:10986", + "right": "issue:11088", + "accept": false, + "reason": "MPS ComplexDouble conversion bug vs. wan2.1 GGUF load error; different models and failure modes." + }, + { + "left": "issue:11448", + "right": "issue:9167", + "accept": false, + "reason": "Missing stable-unclip model path vs. import failure for StableDiffusion3Pipeline; unrelated lookup/import issues." + }, + { + "left": "issue:1375", + "right": "issue:1495", + "accept": false, + "reason": "A breaking change from PR #1365 vs. missing init_git_repo import; both API breakage, but not the same break." + }, + { + "left": "issue:11989", + "right": "issue:9861", + "accept": false, + "reason": "Black inference output vs. Flux training not updating transformer weights; different symptoms and likely causes." + }, + { + "left": "issue:5670", + "right": "issue:7644", + "accept": false, + "reason": "Non-square image failure in PixArtAlpha vs. non-power-of-two size failure in Stable Cascade; similar theme, different pipeline constraints." + }, + { + "left": "issue:2659", + "right": "issue:6725", + "accept": false, + "reason": "Batch-size-dependent image variation vs. generic LDMPipeline image generation request; not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 292, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10281", + "issue:10671", + "issue:1109", + "issue:12108", + "issue:1344", + "issue:13446", + "issue:1867", + "issue:2163", + "issue:2213", + "issue:2276", + "issue:2851", + "issue:337", + "issue:3566", + "issue:3580", + "issue:3585", + "issue:3717", + "issue:4021", + "issue:4042", + "issue:4080", + "issue:4171", + "issue:4484", + "issue:4580", + "issue:4708", + "issue:4752", + "issue:5110", + "issue:5246", + "issue:5390", + "issue:5433", + "issue:5606", + "issue:5689", + "issue:6079", + "issue:6162", + "issue:6452", + "issue:6709", + "issue:7735", + "issue:7962", + "issue:8464", + "issue:8482", + "issue:8488", + "issue:8813", + "issue:8885", + "issue:8939", + "issue:9209", + "issue:9495", + "issue:9660", + "issue:9856", + "issue:9957" + ], + "soft_pairs": [ + "issue:4580|issue:8488", + "issue:1867|issue:337", + "issue:2163|issue:2213", + "issue:4708|issue:6079", + "issue:12108|issue:13446", + "issue:8464|issue:9856", + "issue:10281|issue:9957", + "issue:2851|issue:3717", + "issue:3585|issue:5110", + "issue:1109|issue:4752", + "issue:3566|issue:5689", + "issue:1344|issue:4042", + "issue:4021|issue:5390", + "issue:4080|issue:7962", + "issue:4171|issue:5246", + "issue:4484|issue:5433", + "issue:5606|issue:7735", + "issue:6162|issue:9495", + "issue:6452|issue:7962", + "issue:8482|issue:8813", + "issue:8885|issue:9209", + "issue:6709|issue:8939", + "issue:10671|issue:9660", + "issue:2276|issue:3580" + ], + "prepared_review_unit_hash": "6fd661067426ff546d14b54f4c7c35ebc0efc9bbb65b1f7ede570cd4a3116e35", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33902, + "estimated_input_tokens": 8476, + "estimated_eval_tokens": 17208 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated Diffusers issues: scheduler requests, pipeline bugs, training/runtime problems, docs, and model-support reports. I did not find any soft pair that looks like the same underlying bug/change, so all soft edges are rejected.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 10671 is the best representative because it is a concrete core DiffusionPipeline behavior bug (dtype/device handling) rather than a feature request or environment-specific report.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10671 is the strongest global issue candidate: it is specific, actionable, and tied to shared pipeline internals that are more central than the narrower model- or setup-specific reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4580", + "right": "issue:8488", + "accept": false, + "reason": "Different scheduler/pathology vs. from_pretrained exception on SD3; not the same concrete bug." + }, + { + "left": "issue:1867", + "right": "issue:337", + "accept": false, + "reason": "Both touch img2img/inpainting, but one is a low-strength scheduler behavior bug and the other is a broader pipeline support question." + }, + { + "left": "issue:2163", + "right": "issue:2213", + "accept": false, + "reason": "UNet dtype mismatch during training is unrelated to TPU distributed hang behavior." + }, + { + "left": "issue:4708", + "right": "issue:6079", + "accept": false, + "reason": "Import failure and half/float tensor mismatch are different failures and code paths." + }, + { + "left": "issue:12108", + "right": "issue:13446", + "accept": false, + "reason": "Scheduler/flow-matching compatibility bug vs. security/trust-check issue; unrelated changes." + }, + { + "left": "issue:8464", + "right": "issue:9856", + "accept": false, + "reason": "SEGA seed/offload bug is unrelated to distributed port conflicts." + }, + { + "left": "issue:10281", + "right": "issue:9957", + "accept": false, + "reason": "Both are scheduler feature requests, but they ask for different schedulers and are not the same underlying change." + }, + { + "left": "issue:2851", + "right": "issue:3717", + "accept": false, + "reason": "TPU push_to_hub behavior and multi-GPU OOM are different runtime problems." + }, + { + "left": "issue:3585", + "right": "issue:5110", + "accept": false, + "reason": "LoRA synthesis failure and HF repo-id validation error are unrelated." + }, + { + "left": "issue:1109", + "right": "issue:4752", + "accept": false, + "reason": "CPU utilization complaint is not the same as an SDXL tensor dtype/bias mismatch." + }, + { + "left": "issue:3566", + "right": "issue:5689", + "accept": false, + "reason": "ControlNet reference instability and DPM++ residual noise are distinct SDXL bugs." + }, + { + "left": "issue:1344", + "right": "issue:4042", + "accept": false, + "reason": "Single-GPU attention limitation is unrelated to combining reference-only, inpainting, and depth control." + }, + { + "left": "issue:4021", + "right": "issue:5390", + "accept": false, + "reason": "Both mention unnecessary downloads, but one is from_single_file CLIP fetching and the other is local_files_only behavior in from_pretrained; different code paths." + }, + { + "left": "issue:4080", + "right": "issue:7962", + "accept": false, + "reason": "Two different feature requests for different pipelines and APIs." + }, + { + "left": "issue:4171", + "right": "issue:5246", + "accept": false, + "reason": "Docs rendering issue and missing CLIPImageProjection attribute are unrelated." + }, + { + "left": "issue:4484", + "right": "issue:5433", + "accept": false, + "reason": "Both are visual SDXL issues, but the reported symptoms and likely causes differ." + }, + { + "left": "issue:5606", + "right": "issue:7735", + "accept": false, + "reason": "LoRA alpha handling and missing caption_column in training are different configuration bugs." + }, + { + "left": "issue:6162", + "right": "issue:9495", + "accept": false, + "reason": "Both involve IPAdapter/SDXL, but one is a shape mismatch and the other is PAG integration failure; not the same bug." + }, + { + "left": "issue:6452", + "right": "issue:7962", + "accept": false, + "reason": "Different API additions for different pipelines; no shared underlying change." + }, + { + "left": "issue:8482", + "right": "issue:8813", + "accept": false, + "reason": "Model support for SD3-medium and differential diffusion with Kolors are unrelated requests." + }, + { + "left": "issue:8885", + "right": "issue:9209", + "accept": false, + "reason": "Install/load modifier-token problem is unrelated to mirror connectivity." + }, + { + "left": "issue:6709", + "right": "issue:8939", + "accept": false, + "reason": "Custom Diffusion concept-list bug and SD3 tokenizer load error are different failures." + }, + { + "left": "issue:10671", + "right": "issue:9660", + "accept": false, + "reason": "Both are DiffusionPipeline internals, but dtype/device retrieval and eval-mode setting are different behaviors." + }, + { + "left": "issue:2276", + "right": "issue:3580", + "accept": false, + "reason": "xformers installation failure and xformers runtime TypeError are not the same issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 293, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10239", + "issue:1061", + "issue:12022", + "issue:1477", + "issue:1633", + "issue:1831", + "issue:2179", + "issue:2266", + "issue:2437", + "issue:2577", + "issue:2782", + "issue:2843", + "issue:3029", + "issue:307", + "issue:3481", + "issue:3612", + "issue:4111", + "issue:4116", + "issue:4264", + "issue:4349", + "issue:4414", + "issue:4468", + "issue:459", + "issue:4677", + "issue:4767", + "issue:5465", + "issue:5628", + "issue:5630", + "issue:5731", + "issue:5760", + "issue:5881", + "issue:5897", + "issue:5997", + "issue:6087", + "issue:6132", + "issue:6616", + "issue:7009", + "issue:7333", + "issue:7357", + "issue:7380", + "issue:7415", + "issue:7728", + "issue:776", + "issue:8708", + "issue:8939", + "issue:9398", + "issue:9523", + "issue:9719" + ], + "soft_pairs": [ + "issue:4414|issue:4468", + "issue:5897|issue:7415", + "issue:7728|issue:9523", + "issue:1477|issue:1831", + "issue:2577|issue:5628", + "issue:5760|issue:7333", + "issue:8939|issue:9719", + "issue:2266|issue:2782", + "issue:2437|issue:6132", + "issue:4677|issue:7009", + "issue:4767|issue:5465", + "issue:5630|issue:5881", + "issue:8708|issue:9398", + "issue:10239|issue:12022", + "issue:2843|issue:6087", + "issue:4349|issue:7357", + "issue:1061|issue:776", + "issue:1633|issue:3612", + "issue:2179|issue:3481", + "issue:3029|issue:5997", + "issue:307|issue:459", + "issue:4111|issue:4116", + "issue:4264|issue:5731", + "issue:6616|issue:7380" + ], + "prepared_review_unit_hash": "ae94d2c003cbcb85ab55ba0d9dc035b88df9d979f5b3297cce7a2b17f2f06caa", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34459, + "estimated_input_tokens": 8615, + "estimated_eval_tokens": 17486 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of unrelated issues spanning different bugs, features, examples, and models. None of the soft pairs appear to describe the same underlying problem, so they should all be rejected as duplicates.", + "confidence": 0.91, + "canonical_issue_reason": "issue:10239 is a clear, concrete bug report with a specific unsupported API path (`enable_sequential_cpu_offload()` on HunyuanVideoPipeline), making it the most representative single issue in this mixed cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10239 is the strongest standalone issue here because it names a precise failure mode and affected pipeline, unlike the broader or more ambiguous reports in the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4414", + "right": "issue:4468", + "accept": false, + "reason": "One is about a consistency-model sample, the other about multi-GPU performance differences; different symptoms and likely different causes." + }, + { + "left": "issue:5897", + "right": "issue:7415", + "accept": false, + "reason": "Training-device mismatch in LoRA script vs. AutoencoderKL bfloat16 behavior on TPU; unrelated code paths and hardware contexts." + }, + { + "left": "issue:7728", + "right": "issue:9523", + "accept": false, + "reason": "Accelerate training error in an SDXL LoRA script vs. controlnet training mapping issues across SD3/SDXL/Flux; not the same bug." + }, + { + "left": "issue:1477", + "right": "issue:1831", + "accept": false, + "reason": "CUDA/CUBLAS runtime failure vs. Dreambooth class-image precision mismatch; distinct failure modes." + }, + { + "left": "issue:2577", + "right": "issue:5628", + "accept": false, + "reason": "DDIMInverseScheduler usage problem vs. LMS/Karras sigma offset behavior; different schedulers and different symptoms." + }, + { + "left": "issue:5760", + "right": "issue:7333", + "accept": false, + "reason": "Video-to-audio synthesis project/topic vs. image-to-video noise rectification proposal; not the same underlying issue." + }, + { + "left": "issue:8939", + "right": "issue:9719", + "accept": false, + "reason": "Tokenizer loading error for SD3 vs. progress-bar suppression ignored during checkpoint loading; unrelated loading issues." + }, + { + "left": "issue:2266", + "right": "issue:2782", + "accept": false, + "reason": "Sequential CPU offload slowdown vs. sequential model offloading error; both mention offloading, but one is a performance complaint and the other an error, likely different problems." + }, + { + "left": "issue:2437", + "right": "issue:6132", + "accept": false, + "reason": "A new T2I-Adapter pipeline request vs. adding LOADABLE_CLASSES support; feature request and infrastructure change are not the same bug/change." + }, + { + "left": "issue:4677", + "right": "issue:7009", + "accept": false, + "reason": "Text-guided inpainting doc error vs. poor results from TextToVideoSDPipeline; different docs and different pipelines." + }, + { + "left": "issue:4767", + "right": "issue:5465", + "accept": false, + "reason": "EulerAncestralDiscreteScheduler `prediction_type=sample` support vs. DiffEdit inpaint_strength limitation; different scheduler vs. pipeline behavior." + }, + { + "left": "issue:5630", + "right": "issue:5881", + "accept": false, + "reason": "LMS scheduler noise leftover in SDXL img2img vs. AnimateDiff quality regression relative to upstream; different models and symptoms." + }, + { + "left": "issue:8708", + "right": "issue:9398", + "accept": false, + "reason": "Missing SD3 shift_factor in Dreambooth examples vs. missing `pooled_projection` argument in embeddings forward; unrelated API/example issues." + }, + { + "left": "issue:10239", + "right": "issue:12022", + "accept": false, + "reason": "Unsupported offload API on HunyuanVideoPipeline vs. flash-attention 3 interface incompatibility; different subsystems and fixes." + }, + { + "left": "issue:2843", + "right": "issue:6087", + "accept": false, + "reason": "Multi-GPU checkpoint saving vs. LoRA config persistence causing wrong `lora_alpha`; different training/inference concerns." + }, + { + "left": "issue:4349", + "right": "issue:7357", + "accept": false, + "reason": "Upscale pipeline requiring text_encoder despite prompt_embeds vs. SDXL slowdown with `torch.compile`/`fuse_loras`; separate pipeline API bug vs. performance issue." + }, + { + "left": "issue:1061", + "right": "issue:776", + "accept": false, + "reason": "Documentation update for textual inversion vs. broken image-to-image batch_size>1 behavior; one is doc-only, the other is a runtime bug." + }, + { + "left": "issue:1633", + "right": "issue:3612", + "accept": false, + "reason": "Optional karras sigmas support in k_diffusion wrapper vs. ControlNet creation/preprocessor question; different feature areas and not the same bug." + }, + { + "left": "issue:2179", + "right": "issue:3481", + "accept": false, + "reason": "Flax scheduler producing black images vs. DDIM step-count-dependent output differences; both image quality complaints, but not the same concrete failure." + }, + { + "left": "issue:3029", + "right": "issue:5997", + "accept": false, + "reason": "Custom-resolution ControlNet question vs. SDXL tutorial model-type mismatch error; unrelated tutorial/support issues." + }, + { + "left": "issue:307", + "right": "issue:459", + "accept": false, + "reason": "Pipeline-merging feature request vs. incremental diffusion concept; different scope and intent." + }, + { + "left": "issue:4111", + "right": "issue:4116", + "accept": false, + "reason": "Loading SDXL img2img with limited VRAM vs. passing embeddings not working; separate resource and input-handling issues." + }, + { + "left": "issue:4264", + "right": "issue:5731", + "accept": false, + "reason": "Missing example images vs. missing trainable logvar in AutoencoderKL decoder; one is documentation/assets, the other is model implementation." + }, + { + "left": "issue:6616", + "right": "issue:7380", + "accept": false, + "reason": "Classifier-guidance implementation request vs. one-step diffusion / distillation implementation request; both are algorithmic feature ideas, but not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 294, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10050", + "issue:10566", + "issue:10673", + "issue:11010", + "issue:11178", + "issue:1141", + "issue:11627", + "issue:11779", + "issue:12012", + "issue:12025", + "issue:12071", + "issue:12536", + "issue:12574", + "issue:1273", + "issue:1304", + "issue:13107", + "issue:205", + "issue:2437", + "issue:2480", + "issue:2737", + "issue:2763", + "issue:2786", + "issue:3043", + "issue:3065", + "issue:3455", + "issue:3958", + "issue:4282", + "issue:4756", + "issue:5313", + "issue:5432", + "issue:5523", + "issue:6132", + "issue:6313", + "issue:6320", + "issue:6354", + "issue:6359", + "issue:6548", + "issue:6639", + "issue:7043", + "issue:7079", + "issue:7389", + "issue:7432", + "issue:7640", + "issue:8539", + "issue:8614", + "issue:8956", + "issue:9216", + "issue:9926" + ], + "soft_pairs": [ + "issue:6639|issue:7432", + "issue:11779|issue:12574", + "issue:2480|issue:5523", + "issue:10566|issue:12071", + "issue:10673|issue:12025", + "issue:7389|issue:7640", + "issue:11178|issue:8614", + "issue:2786|issue:6548", + "issue:11627|issue:8539", + "issue:3958|issue:5313", + "issue:12012|issue:12536", + "issue:6320|issue:8956", + "issue:10050|issue:9216", + "issue:11010|issue:13107", + "issue:1141|issue:2737", + "issue:1273|issue:3455", + "issue:1304|issue:205", + "issue:2437|issue:6313", + "issue:2763|issue:4282", + "issue:3043|issue:6132", + "issue:3065|issue:7043", + "issue:4756|issue:5432", + "issue:6354|issue:9926", + "issue:6359|issue:7079" + ], + "prepared_review_unit_hash": "71e0a14987a8d56671556ec641d59f48a3e0de952b4c10215c01401dfc7595cc", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33905, + "estimated_input_tokens": 8477, + "estimated_eval_tokens": 17210 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a heterogeneous grab bag of feature requests and bug reports across many unrelated pipelines/models. No soft pair looks like a true duplicate; the set does not form a coherent duplicate cluster. If forced to pick a representative issue, the broadest is the custom-pipeline/local-file request (#1141), but it is only a weak umbrella.", + "confidence": 0.93, + "canonical_issue_reason": "#1141 is the broadest, most generic request in the set (custom pipeline/local-file support), so it is the least narrow representative if one issue must anchor the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "#1141 is the best cluster representative because it is the most general and upstream-facing; the rest are mostly model-specific bugs or narrowly scoped feature requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6639", + "right": "issue:7432", + "accept": false, + "reason": "Both mention differing outputs, but they are different code paths: SDXL LoRA loading behavior vs a general diffusers/WebUI image discrepancy." + }, + { + "left": "issue:11779", + "right": "issue:12574", + "accept": false, + "reason": "Both are Wan/VACE-related, but one is about mask padding and the other about missing control-argument handling; not the same bug." + }, + { + "left": "issue:2480", + "right": "issue:5523", + "accept": false, + "reason": "Dreambooth checkpoint-folder handling is unrelated to run-to-run inconsistency in outputs." + }, + { + "left": "issue:10566", + "right": "issue:12071", + "accept": false, + "reason": "Different models and different forward-path concerns; not the same underlying issue." + }, + { + "left": "issue:10673", + "right": "issue:12025", + "accept": false, + "reason": "Different failure modes on different components: AuraFlow reshape error vs Cosmos VAE invalid API call." + }, + { + "left": "issue:7389", + "right": "issue:7640", + "accept": false, + "reason": "Both are SDXL from_single_file problems, but the reported failures differ materially (generic load error vs dimension-specific runtime error)." + }, + { + "left": "issue:11178", + "right": "issue:8614", + "accept": false, + "reason": "Both involve single-file ControlNet loading, but one is a MistoLine from_single_file case and the other is missing config.json; too specific to merge confidently." + }, + { + "left": "issue:2786", + "right": "issue:6548", + "accept": false, + "reason": "Both are img2img input-handling bugs, but one is numpy compatibility and the other is RGBA being mistaken for latents; separate defects." + }, + { + "left": "issue:11627", + "right": "issue:8539", + "accept": false, + "reason": "Different architectures and different problems: IP-Adapter support in SD3 vs cross-attention behavior in SD3 transformer." + }, + { + "left": "issue:3958", + "right": "issue:5313", + "accept": false, + "reason": "Both are LoRA-related, but one is CPU offload behavior and the other is non-revertible fuse semantics; not the same change." + }, + { + "left": "issue:12012", + "right": "issue:12536", + "accept": false, + "reason": "Both mention Wan 2.2/context-related behavior, but one is cache context state setup and the other is tensor sharding divisibility; distinct bugs." + }, + { + "left": "issue:6320", + "right": "issue:8956", + "accept": false, + "reason": "Different loading failures: remote model resolution vs model loading in OVStableDiffusionXLPipeline." + }, + { + "left": "issue:10050", + "right": "issue:9216", + "accept": false, + "reason": "An img2img KDiffusion-equivalent request is unrelated to a generic multi-model pipeline feature." + }, + { + "left": "issue:11010", + "right": "issue:13107", + "accept": false, + "reason": "Different Flux-related topics: architecture support for Chroma vs LoRA key-mismatch errors." + }, + { + "left": "issue:1141", + "right": "issue:2737", + "accept": false, + "reason": "Custom pipeline/local-file support is unrelated to adding CLIP guidance support to a scheduler." + }, + { + "left": "issue:1273", + "right": "issue:3455", + "accept": false, + "reason": "Dreambooth loss-calculation question and pretrained instruct-pix2pix training are unrelated training concerns." + }, + { + "left": "issue:1304", + "right": "issue:205", + "accept": false, + "reason": "Generic img2img training guidance is not the same as adding interpolation example scripts." + }, + { + "left": "issue:2437", + "right": "issue:6313", + "accept": false, + "reason": "A T2I-Adapter pipeline request is unrelated to a Null-Text Inversion pipeline implementation." + }, + { + "left": "issue:2763", + "right": "issue:4282", + "accept": false, + "reason": "ControlNet VRAM behavior and Multi-ControlNet pipeline support are different problems; one is performance, the other is feature scope." + }, + { + "left": "issue:3043", + "right": "issue:6132", + "accept": false, + "reason": "Adding ODISE and adding LOADABLE_CLASSES are unrelated feature requests." + }, + { + "left": "issue:3065", + "right": "issue:7043", + "accept": false, + "reason": "Both are DreamBooth-related, but one asks for a LoRA text-encoder option and the other for custom captions; different functionality." + }, + { + "left": "issue:4756", + "right": "issue:5432", + "accept": false, + "reason": "Training-style support and blank validation images are not the same underlying bug." + }, + { + "left": "issue:6354", + "right": "issue:9926", + "accept": false, + "reason": "LoRA support for ControlNet and GGUF quantize/speed support are unrelated model/runtime requests." + }, + { + "left": "issue:6359", + "right": "issue:7079", + "accept": false, + "reason": "Different subsystem bugs: scheduler velocity/noise handling vs Transformer2DModel patch/norm-type error." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 295, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10178", + "issue:10191", + "issue:10311", + "issue:10446", + "issue:10963", + "issue:11000", + "issue:11470", + "issue:12895", + "issue:13124", + "issue:2392", + "issue:2737", + "issue:2961", + "issue:3103", + "issue:3191", + "issue:3223", + "issue:3287", + "issue:3325", + "issue:3377", + "issue:3390", + "issue:3604", + "issue:3960", + "issue:4665", + "issue:4801", + "issue:4964", + "issue:4969", + "issue:5025", + "issue:5061", + "issue:5079", + "issue:5112", + "issue:514", + "issue:5399", + "issue:5654", + "issue:5873", + "issue:6157", + "issue:656", + "issue:671", + "issue:6996", + "issue:770", + "issue:8241", + "issue:8405", + "issue:8824", + "issue:8939", + "issue:9047", + "issue:917", + "issue:9178", + "issue:9397", + "issue:9424", + "issue:9962" + ], + "soft_pairs": [ + "issue:9047|issue:9178", + "issue:10191|issue:10446", + "issue:5399|issue:8241", + "issue:10311|issue:10963", + "issue:2961|issue:3604", + "issue:3191|issue:3960", + "issue:3223|issue:6157", + "issue:3325|issue:4801", + "issue:3377|issue:5654", + "issue:3390|issue:4665", + "issue:4969|issue:5061", + "issue:5025|issue:770", + "issue:5079|issue:9397", + "issue:5112|issue:6996", + "issue:514|issue:656", + "issue:5873|issue:9424", + "issue:8824|issue:8939", + "issue:10178|issue:8405", + "issue:12895|issue:2392", + "issue:3103|issue:917", + "issue:4964|issue:671", + "issue:11000|issue:9962", + "issue:11470|issue:13124", + "issue:2737|issue:3287" + ], + "prepared_review_unit_hash": "709eb6055b587eaa42f5ad220a9a51101a755bf8e044dfc5e1a8c7613df54a51", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34159, + "estimated_input_tokens": 8540, + "estimated_eval_tokens": 17336 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: the items span unrelated bugs and feature requests across training scripts, pipelines, conversion, LoRA, and device/runtime issues. All soft edges should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "Issue 10446 is the strongest standalone representative: it is open, detailed, and has the most substantial discussion around a concrete Flux multi-GPU/model-sharding failure. That said, the cluster is heterogeneous and does not have a real canonical duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10446 is the most actionable issue in the set, with a precise repro and active discussion. It is still only a representative, not a duplicate anchor, because the rest of the cluster is unrelated.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9047", + "right": "issue:9178", + "accept": false, + "reason": "Both are Flux-related, but one is an MPS runtime incompatibility and the other is a LoRA training/PEFT target-module error; different bugs and code paths." + }, + { + "left": "issue:10191", + "right": "issue:10446", + "accept": false, + "reason": "GPU device selection during training is unrelated to FluxControlNetPipeline multi-GPU/model-sharding incompatibility; different failure modes." + }, + { + "left": "issue:5399", + "right": "issue:8241", + "accept": false, + "reason": "Custom inpainting dtype mismatch is unrelated to an abnormal LEDITS++ model size question." + }, + { + "left": "issue:10311", + "right": "issue:10963", + "accept": false, + "reason": "Both are import errors, but they involve different missing symbols in different modules and are not the same underlying bug." + }, + { + "left": "issue:2961", + "right": "issue:3604", + "accept": false, + "reason": "Training example request for StableUnCLIP is not the same as a finetuning loss-not-decreasing problem." + }, + { + "left": "issue:3191", + "right": "issue:3960", + "accept": false, + "reason": "Dreambooth+LoRA breakage and a safetensors HeaderTooLarge error are distinct issues with different root causes." + }, + { + "left": "issue:3223", + "right": "issue:6157", + "accept": false, + "reason": "Memory not being cleared after moving a pipeline to CUDA is unrelated to IP-Adapter not working in ControlNetImg2ImgPipeline." + }, + { + "left": "issue:3325", + "right": "issue:4801", + "accept": false, + "reason": "These are separate training failures in different scripts: CUDA invalid argument vs mixed-precision bug." + }, + { + "left": "issue:3377", + "right": "issue:5654", + "accept": false, + "reason": "Both mention SNR weighting, but one is a general question and the other is a specific Min-SNR v-prediction feature request; not the same concrete change." + }, + { + "left": "issue:3390", + "right": "issue:4665", + "accept": false, + "reason": "Local safetensors loading and Windows alternative-bin file handling are different packaging/loading problems." + }, + { + "left": "issue:4969", + "right": "issue:5061", + "accept": false, + "reason": "CrossAttention import failure is unrelated to a converter config_files argument error." + }, + { + "left": "issue:5025", + "right": "issue:770", + "accept": false, + "reason": "Missing randn_tensor import and Colab training startup failure are unrelated issues." + }, + { + "left": "issue:5079", + "right": "issue:9397", + "accept": false, + "reason": "Both are LoRA-related feature requests, but they target different functionality and code paths." + }, + { + "left": "issue:5112", + "right": "issue:6996", + "accept": false, + "reason": "These are different pipeline errors: a torch.Size float conversion issue versus a NoneType added_cond_kwargs check." + }, + { + "left": "issue:514", + "right": "issue:656", + "accept": false, + "reason": "Attention slicing error is not the same as a low-VRAM Dreambooth training problem." + }, + { + "left": "issue:5873", + "right": "issue:9424", + "accept": false, + "reason": "ONNX export support for scaled_dot_product_attention is unrelated to a notebook breaking on the latest version." + }, + { + "left": "issue:8824", + "right": "issue:8939", + "accept": false, + "reason": "Custom dataset guidance for instruct-pix2pix is unrelated to an SD3 tokenizer loading error." + }, + { + "left": "issue:10178", + "right": "issue:8405", + "accept": false, + "reason": "Both mention size mismatches, but they concern different components and different tensor-shape failures." + }, + { + "left": "issue:12895", + "right": "issue:2392", + "accept": false, + "reason": "Both involve prompt handling, but they are different pipelines and distinct bugs; not the same underlying failure." + }, + { + "left": "issue:3103", + "right": "issue:917", + "accept": false, + "reason": "Inpainting height/width handling and an ONNX inpainting export/runtime error are not the same issue." + }, + { + "left": "issue:4964", + "right": "issue:671", + "accept": false, + "reason": "These are both conversion-related, but one is SDXL conversion and the other is original SD conversion fidelity; different models and symptoms." + }, + { + "left": "issue:11000", + "right": "issue:9962", + "accept": false, + "reason": "Missing shift argument and unexpected use_cuda_graph keyword are separate API/argument errors." + }, + { + "left": "issue:11470", + "right": "issue:13124", + "accept": false, + "reason": "Tensorboard image logging and FP16 unscale failures triggered by validation_prompt are unrelated training-script issues." + }, + { + "left": "issue:2737", + "right": "issue:3287", + "accept": false, + "reason": "CLIP guidance support for a scheduler and support for improved DDPM are different feature requests." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 296, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1070", + "issue:11006", + "issue:11574", + "issue:11833", + "issue:1434", + "issue:1746", + "issue:1817", + "issue:1821", + "issue:1944", + "issue:2444", + "issue:2579", + "issue:2722", + "issue:3032", + "issue:3097", + "issue:3468", + "issue:3551", + "issue:3767", + "issue:3880", + "issue:4232", + "issue:4376", + "issue:4418", + "issue:4446", + "issue:4589", + "issue:4648", + "issue:4871", + "issue:4912", + "issue:5336", + "issue:5515", + "issue:5646", + "issue:5685", + "issue:5753", + "issue:5777", + "issue:5866", + "issue:5890", + "issue:5917", + "issue:617", + "issue:6321", + "issue:6481", + "issue:7228", + "issue:7264", + "issue:7904", + "issue:8535", + "issue:8556", + "issue:8809", + "issue:9332", + "issue:9674", + "issue:987", + "issue:9946" + ], + "soft_pairs": [ + "issue:4589|issue:5336", + "issue:4648|issue:5777", + "issue:7904|issue:8535", + "issue:4418|issue:5890", + "issue:4446|issue:4871", + "issue:2579|issue:3551", + "issue:6481|issue:9674", + "issue:7228|issue:8556", + "issue:1070|issue:3880", + "issue:11006|issue:8809", + "issue:1817|issue:1944", + "issue:3767|issue:617", + "issue:4912|issue:7264", + "issue:8535|issue:9946", + "issue:1746|issue:2444", + "issue:1821|issue:3032", + "issue:1821|issue:987", + "issue:5646|issue:5685", + "issue:3468|issue:6321", + "issue:11574|issue:11833", + "issue:1434|issue:3097", + "issue:2722|issue:5917", + "issue:4232|issue:5866", + "issue:4376|issue:5753", + "issue:5515|issue:9332" + ], + "prepared_review_unit_hash": "fcd146697609b01bb07176f8c42b01df11a4c412f5e9a153317573a9d53404e8", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34303, + "estimated_input_tokens": 8576, + "estimated_eval_tokens": 17408 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a noisy, heterogeneous issue cluster with only one plausible duplicate pair. The two xformers-memory-efficient-attention issues look like the same underlying problem; the rest are topical overlaps at best, not the same bug.", + "confidence": 0.92, + "canonical_issue_reason": "issue:8535 is the best canonical anchor because it most directly matches the only plausible duplicate (issue:9946) on xformers memory-efficient attention.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8535 is the strongest representative issue in the cluster because it has the clearest, most specific match to another item; the rest of the cluster is too unrelated to unify.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4589", + "right": "issue:5336", + "accept": false, + "reason": "Both involve ControlNet Img2Img, but one asks for XL-version pipeline support and the other requests a strength parameter; different changes, not the same bug." + }, + { + "left": "issue:4648", + "right": "issue:5777", + "accept": false, + "reason": "Config.json missing / environment setup error versus Dreambooth training failure; no shared underlying defect." + }, + { + "left": "issue:7904", + "right": "issue:8535", + "accept": false, + "reason": "Scheduler sigmas mutating after forward call is unrelated to xformers attention enablement; different code paths and symptoms." + }, + { + "left": "issue:4418", + "right": "issue:5890", + "accept": false, + "reason": "Inpaint denoising_start behavior is unrelated to the tokenizer sequence-length warning in text-to-image training." + }, + { + "left": "issue:4446", + "right": "issue:4871", + "accept": false, + "reason": "Custom text_encoder loading from single file is different from a general how-to-run-from-single-file question." + }, + { + "left": "issue:2579", + "right": "issue:3551", + "accept": false, + "reason": "General xFormers bug/misuse versus LoRA disabling xFormers; related subsystem, but not the same concrete failure." + }, + { + "left": "issue:6481", + "right": "issue:9674", + "accept": false, + "reason": "Dreambooth batch-size failure and SD3 controlnet training quality are different problems." + }, + { + "left": "issue:7228", + "right": "issue:8556", + "accept": false, + "reason": "Missing dtype on traced model versus meta-tensor copy failure in SD3 from_single_file; distinct loading bugs." + }, + { + "left": "issue:1070", + "right": "issue:3880", + "accept": false, + "reason": "Both mention inpainting, but one is a vague face bug and the other is degradation of unmasked areas; not enough evidence of the same defect." + }, + { + "left": "issue:11006", + "right": "issue:8809", + "accept": false, + "reason": "Wan 2.1 video output corruption with quantized transformer is unrelated to feedforward output inconsistency from varying sequence lengths." + }, + { + "left": "issue:1817", + "right": "issue:1944", + "accept": false, + "reason": "Scheduler API argument error in Dreambooth is not the same as getting random results from training." + }, + { + "left": "issue:3767", + "right": "issue:617", + "accept": false, + "reason": "FrozenDict mutability and NNPACK unsupported hardware warnings are unrelated." + }, + { + "left": "issue:4912", + "right": "issue:7264", + "accept": false, + "reason": "SDXL checkpoint conversion to diffusers and custom transformers model serialization are different conversion/loading issues." + }, + { + "left": "issue:8535", + "right": "issue:9946", + "accept": true, + "reason": "Both titles refer to enabling xformers memory-efficient attention, and they appear to describe the same underlying pipeline behavior/bug." + }, + { + "left": "issue:1746", + "right": "issue:2444", + "accept": false, + "reason": "Flax pipeline error and Dreambooth inpaint subprocess failure are different failures in different code paths." + }, + { + "left": "issue:1821", + "right": "issue:3032", + "accept": false, + "reason": "Negative prompt ineffectiveness in inpainting is unrelated to a missing from_pretrained attribute on ControlNet Img2Img." + }, + { + "left": "issue:1821", + "right": "issue:987", + "accept": false, + "reason": "Inpaint negative_prompt behavior is not the same as a green-image speech-to-image output bug." + }, + { + "left": "issue:5646", + "right": "issue:5685", + "accept": false, + "reason": "Both mention schedulers, but one is a model-specific stability report and the other is a broad speculation; not the same concrete issue." + }, + { + "left": "issue:3468", + "right": "issue:6321", + "accept": false, + "reason": "Missing model_index.json after Dreambooth training is different from CLIP model detection failure." + }, + { + "left": "issue:11574", + "right": "issue:11833", + "accept": false, + "reason": "A missing VAE weight key and a KeyError in set_lora_device are different missing-key contexts with different causes." + }, + { + "left": "issue:1434", + "right": "issue:3097", + "accept": false, + "reason": "Upscaling OOM is unrelated to textual inversion apparently doing nothing." + }, + { + "left": "issue:2722", + "right": "issue:5917", + "accept": false, + "reason": "ControlNet UNet conversion mismatch and checkpoint conversion failing after a version upgrade are not the same defect." + }, + { + "left": "issue:4232", + "right": "issue:5866", + "accept": false, + "reason": "Instruct-pix2pix training/inference for controlnet condition and AnimateDiff + ControlNet are different feature requests." + }, + { + "left": "issue:4376", + "right": "issue:5753", + "accept": false, + "reason": "SDXL textual inversion crash and LoRA weights failing in SDXL ControlNet are separate integration problems." + }, + { + "left": "issue:5515", + "right": "issue:9332", + "accept": false, + "reason": "LCM scheduler initialization failure is unrelated to incorrect model loading with identical weights." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The assessment is grounded in the packet: the cluster is highly heterogeneous, and the only clearly supportable duplicate is issue:8535 \u2194 issue:9946 around xformers memory-efficient attention. The soft-edge rejections are conservative and align with the provided pair evidence. No PR-pair concerns here." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 297, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10154", + "issue:10302", + "issue:10421", + "issue:10855", + "issue:10913", + "issue:11000", + "issue:1101", + "issue:11127", + "issue:11214", + "issue:11675", + "issue:1249", + "issue:12505", + "issue:12633", + "issue:2091", + "issue:2851", + "issue:3405", + "issue:3418", + "issue:4480", + "issue:4530", + "issue:4646", + "issue:4649", + "issue:4826", + "issue:5124", + "issue:5152", + "issue:5509", + "issue:5607", + "issue:6090", + "issue:6109", + "issue:6280", + "issue:6639", + "issue:6686", + "issue:6807", + "issue:7240", + "issue:7415", + "issue:7562", + "issue:7589", + "issue:7690", + "issue:7891", + "issue:7939", + "issue:8526", + "issue:898", + "issue:9052", + "issue:9106", + "issue:9539", + "issue:9690", + "issue:9846", + "issue:9911" + ], + "soft_pairs": [ + "issue:4530|issue:6686", + "issue:4826|issue:7562", + "issue:10154|issue:6639", + "issue:4646|issue:7240", + "issue:5152|issue:9106", + "issue:4649|issue:7589", + "issue:6280|issue:9846", + "issue:4480|issue:8526", + "issue:2091|issue:5124", + "issue:9539|issue:9911", + "issue:7415|issue:7891", + "issue:4480|issue:6807", + "issue:5607|issue:6090", + "issue:10302|issue:9690", + "issue:3405|issue:6109", + "issue:1249|issue:5509", + "issue:2851|issue:898", + "issue:7690|issue:7939", + "issue:10421|issue:12505", + "issue:10855|issue:12633", + "issue:10913|issue:11675", + "issue:11000|issue:11214", + "issue:1101|issue:3418", + "issue:11127|issue:9052" + ], + "prepared_review_unit_hash": "26e641495006400dadad70e0e6470457957adb97bc4ad6417611d7bd3fc38264", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33660, + "estimated_input_tokens": 8415, + "estimated_eval_tokens": 17086 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster looks like a set of false-positive title similarities, not a duplicate set: most items are unrelated bugs across LoRA loading, pipelines, schedulers, training, and device-specific issues. None of the soft pairs look mergeable as the same underlying fix.", + "confidence": 0.74, + "canonical_issue_reason": "issue:11675 is the closest single representative of the only coherent subtheme here (LoRA weight loading errors), but the cluster as a whole is too heterogeneous to treat as one true duplicate group.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11675 is the best stand-in because it is concise, concrete, and directly about pretrained LoRA loading; the other items are either different failure modes or entirely different subsystems.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4530", + "right": "issue:6686", + "accept": false, + "reason": "Different problems: image artifacts in SDXL refiner vs. Dynamo compilation performance after save/load." + }, + { + "left": "issue:4826", + "right": "issue:7562", + "accept": false, + "reason": "Both mention MultiControlNet, but one is ControlNet Reference errors and the other is CPU offload failure in SDXL img2img; different code paths." + }, + { + "left": "issue:10154", + "right": "issue:6639", + "accept": false, + "reason": "Both involve LoRA loading, but one is an AttributeError during load_lora_weights and the other is output mismatch between loading paths; not the same bug." + }, + { + "left": "issue:4646", + "right": "issue:7240", + "accept": false, + "reason": "ONNX controlnet conversion failure is unrelated to ImageNet conditional LDM low-quality output." + }, + { + "left": "issue:5152", + "right": "issue:9106", + "accept": false, + "reason": "W\u00fcrstchen alpha bug and PixArt-Alpha time_step attribute error are unrelated models and failures." + }, + { + "left": "issue:4649", + "right": "issue:7589", + "accept": false, + "reason": "NoneType added_cond_kwargs TypeError is a different failure from GLIGEN layout-to-image not working." + }, + { + "left": "issue:6280", + "right": "issue:9846", + "accept": false, + "reason": "Both are about missing from_single_file APIs, but one is SDXL ControlNet Img2Img and the other is FluxControlNetModel; separate model families and implementation gaps." + }, + { + "left": "issue:4480", + "right": "issue:8526", + "accept": false, + "reason": "MPS float16 crash on StableDiffusionPipeline is not the same as SD3 joint_attention_kwargs scale being ineffective." + }, + { + "left": "issue:2091", + "right": "issue:5124", + "accept": false, + "reason": "Training resume with multi-GPU checkpointing is unrelated to a checkpoint fine-tuning usage question." + }, + { + "left": "issue:9539", + "right": "issue:9911", + "accept": false, + "reason": "FP8 index_select_cuda failure in CogVideoX is not the same as Flux multi-ControlNet layer-length mismatch." + }, + { + "left": "issue:7415", + "right": "issue:7891", + "accept": false, + "reason": "AutoencoderKL bfloat16 TPU issue and cpu/cuda device mismatch are different device/bfloat16 problems." + }, + { + "left": "issue:4480", + "right": "issue:6807", + "accept": false, + "reason": "Kernel crash on Mac M1 MPS is unrelated to contributor test collection failures on MPS." + }, + { + "left": "issue:5607", + "right": "issue:6090", + "accept": false, + "reason": "Tensor size mismatch and channel-count mismatch are both shape errors, but they are different model inputs and failure signatures." + }, + { + "left": "issue:10302", + "right": "issue:9690", + "accept": false, + "reason": "FP8 inference noise is a runtime quality issue, while the other is FP8 example cleanup; not the same bug or fix." + }, + { + "left": "issue:3405", + "right": "issue:6109", + "accept": false, + "reason": "ControlNet training bug and ControlNet-xs with depth control are different problems in different training/inference setups." + }, + { + "left": "issue:1249", + "right": "issue:5509", + "accept": false, + "reason": "ONNXPipeline numpy.device AttributeError is unrelated to image batch size mismatch with np.ndarray/cv2 inputs." + }, + { + "left": "issue:2851", + "right": "issue:898", + "accept": false, + "reason": "TPU push_to_hub training issue is unrelated to a TPU bfloat16 scalar type exception." + }, + { + "left": "issue:7690", + "right": "issue:7939", + "accept": false, + "reason": "Tokenizer loading failure for SDXL is different from failing to load a model from the same folder." + }, + { + "left": "issue:10421", + "right": "issue:12505", + "accept": false, + "reason": "CPU memory leak when moving pipelines to multiple GPUs is not the same as tgate errors on img2img SD/SDXL pipelines." + }, + { + "left": "issue:10855", + "right": "issue:12633", + "accept": false, + "reason": "Gradient accumulation optimizer.step behavior is unrelated to DDIMScheduler timestep-spacing mismatch." + }, + { + "left": "issue:10913", + "right": "issue:11675", + "accept": false, + "reason": "Dataset loading from disk is unrelated to pretrained LoRA weight loading." + }, + { + "left": "issue:11000", + "right": "issue:11214", + "accept": false, + "reason": "Missing shift argument in WanImageToVideoPipeline is unrelated to UVit2DModel unexpected encoder_hidden_states keyword." + }, + { + "left": "issue:1101", + "right": "issue:3418", + "accept": false, + "reason": "Scheduler feature request/addition is unrelated to adding text-encoder support in a LoRA training script." + }, + { + "left": "issue:11127", + "right": "issue:9052", + "accept": false, + "reason": "CivitAI single-file loading failure for a Flux model is different from from_single_file failing on certain checkpoints in general." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 298, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1117", + "issue:11470", + "issue:1181", + "issue:1197", + "issue:11989", + "issue:12437", + "issue:1407", + "issue:1478", + "issue:177", + "issue:1821", + "issue:1857", + "issue:202", + "issue:2392", + "issue:244", + "issue:2462", + "issue:2737", + "issue:2782", + "issue:2871", + "issue:3162", + "issue:3280", + "issue:3391", + "issue:3428", + "issue:3480", + "issue:3769", + "issue:3902", + "issue:4109", + "issue:4446", + "issue:4453", + "issue:5112", + "issue:5170", + "issue:5336", + "issue:5963", + "issue:5977", + "issue:6001", + "issue:6880", + "issue:6958", + "issue:7168", + "issue:725", + "issue:7485", + "issue:7497", + "issue:8659", + "issue:9331", + "issue:939", + "issue:968", + "issue:9756", + "issue:9772", + "issue:988" + ], + "soft_pairs": [ + "issue:1117|issue:202", + "issue:11470|issue:8659", + "issue:1181|issue:725", + "issue:1197|issue:939", + "issue:11989|issue:9331", + "issue:12437|issue:9772", + "issue:1407|issue:1821", + "issue:1478|issue:3769", + "issue:177|issue:244", + "issue:1857|issue:2871", + "issue:2392|issue:3428", + "issue:2462|issue:2737", + "issue:2782|issue:968", + "issue:3162|issue:6958", + "issue:3280|issue:3391", + "issue:3480|issue:5170", + "issue:3480|issue:5336", + "issue:3902|issue:7497", + "issue:4109|issue:6001", + "issue:4446|issue:6880", + "issue:4453|issue:988", + "issue:5112|issue:7485", + "issue:5963|issue:7168", + "issue:5977|issue:9756" + ], + "prepared_review_unit_hash": "43b8792452c8a183929d243da6ab674ed9da0d8cf228a3a2b49fc3f0e6e40bdd", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33186, + "estimated_input_tokens": 8297, + "estimated_eval_tokens": 16850 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a mixed set of unrelated Diffusers issues spanning training scripts, pipeline bugs, scheduler problems, feature requests, and docs/tests. I do not see a single duplicate theme strong enough to pick a canonical issue, and there are no PRs here.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1117", + "right": "issue:202", + "accept": false, + "reason": "Both are test-related, but one is about negative prompts and the other about unet_blocks coverage; different code paths and goals." + }, + { + "left": "issue:11470", + "right": "issue:8659", + "accept": false, + "reason": "Both mention training scripts, but one is about TensorBoard image logging in ControlNet SDXL and the other is checkpoint resume/inference loading in text-to-image SDXL." + }, + { + "left": "issue:1181", + "right": "issue:725", + "accept": false, + "reason": "Training-from-scratch support is unrelated to adding device_map/accelerate loading support." + }, + { + "left": "issue:1197", + "right": "issue:939", + "accept": false, + "reason": "Both concern community pipelines, but one is a specific OpenAI diffusion pipeline request and the other is about listing multiple community pipes; not the same change." + }, + { + "left": "issue:11989", + "right": "issue:9331", + "accept": false, + "reason": "Pure-black inference output is a model/weight symptom, while the other is a scheduler timestep indexing bug." + }, + { + "left": "issue:12437", + "right": "issue:9772", + "accept": false, + "reason": "Both are feature requests for support of different models/features; no shared bug or merged implementation path." + }, + { + "left": "issue:1407", + "right": "issue:1821", + "accept": false, + "reason": "ONNX feature_extractor regression and negative_prompt ineffectiveness in inpaint are unrelated pipeline issues." + }, + { + "left": "issue:1478", + "right": "issue:3769", + "accept": false, + "reason": "Both relate to image output behavior, but one is about upscaler output count and the other about panorama quarters; different defects." + }, + { + "left": "issue:177", + "right": "issue:244", + "accept": false, + "reason": "Two documentation tasks with no common underlying issue." + }, + { + "left": "issue:1857", + "right": "issue:2871", + "accept": false, + "reason": "Poorly tested UnCLIP pipeline and latent output handling in inpainting are separate concerns." + }, + { + "left": "issue:2392", + "right": "issue:3428", + "accept": false, + "reason": "Both involve img2img-style prompting, but one is a prompt_embeds validation error and the other is an unexpected result after pipeline modification." + }, + { + "left": "issue:2462", + "right": "issue:2737", + "accept": false, + "reason": "IterableDataset finetuning support and scheduler CLIP guidance support are different features." + }, + { + "left": "issue:2782", + "right": "issue:968", + "accept": false, + "reason": "Sequential model offloading error and slow model loading are different performance/loading issues." + }, + { + "left": "issue:3162", + "right": "issue:6958", + "accept": false, + "reason": "Missing learned_classifier_free_sampling_embeddings and use_linear_projection in unet_motion_model are unrelated bugs." + }, + { + "left": "issue:3280", + "right": "issue:3391", + "accept": false, + "reason": "Both touch DeepFloyd IF, but one is scheduler compatibility and the other is overexposed super-resolution output." + }, + { + "left": "issue:3480", + "right": "issue:5170", + "accept": false, + "reason": "LoRA scale parameter request and removing LoRA after loading are not the same change." + }, + { + "left": "issue:3480", + "right": "issue:5336", + "accept": false, + "reason": "Text-encoder LoRA scaling and ControlNet img2img strength are different pipeline parameters." + }, + { + "left": "issue:3902", + "right": "issue:7497", + "accept": false, + "reason": "Control-a-video and fine-grained attribute control are distinct feature requests." + }, + { + "left": "issue:4109", + "right": "issue:6001", + "accept": false, + "reason": "Both involve StableDiffusionXLInpaintPipeline, but one is a general failure and the other is a from_single_file refiner class-mapping bug." + }, + { + "left": "issue:4446", + "right": "issue:6880", + "accept": false, + "reason": "Custom text_encoder loading and Custom Diffusion retrieve.py are unrelated." + }, + { + "left": "issue:4453", + "right": "issue:988", + "accept": false, + "reason": "SDXL LoRA conversion guidance and FSDP training examples are different topics." + }, + { + "left": "issue:5112", + "right": "issue:7485", + "accept": false, + "reason": "An SDXL ControlNet img2img shape error is unrelated to a safety_checker callable TypeError." + }, + { + "left": "issue:5963", + "right": "issue:7168", + "accept": false, + "reason": "Both mention embeds, but they affect different models/pipelines and different failure modes." + }, + { + "left": "issue:5977", + "right": "issue:9756", + "accept": false, + "reason": "Training-time LoRA key cleanup and a missing notebook file are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 299, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11973", + "issue:13256", + "issue:1407", + "issue:1540", + "issue:1709", + "issue:1941", + "issue:2091", + "issue:2185", + "issue:2213", + "issue:2250", + "issue:2265", + "issue:2412", + "issue:2799", + "issue:2966", + "issue:3379", + "issue:3381", + "issue:3591", + "issue:4219", + "issue:4456", + "issue:4483", + "issue:4488", + "issue:4674", + "issue:4868", + "issue:4985", + "issue:5465", + "issue:5628", + "issue:5794", + "issue:5875", + "issue:6028", + "issue:6162", + "issue:6518", + "issue:6565", + "issue:6783", + "issue:6832", + "issue:7102", + "issue:7178", + "issue:7183", + "issue:7450", + "issue:7708", + "issue:8380", + "issue:8909", + "issue:9138", + "issue:9210", + "issue:9227", + "issue:9320", + "issue:9350", + "issue:9637" + ], + "soft_pairs": [ + "issue:6162|issue:6832", + "issue:6518|issue:9138", + "issue:7102|issue:7450", + "issue:8380|issue:9210", + "issue:2091|issue:2213", + "issue:2799|issue:5465", + "issue:1540|issue:2412", + "issue:9350|issue:9637", + "issue:6565|issue:8909", + "issue:3591|issue:6565", + "issue:4674|issue:6028", + "issue:1709|issue:2265", + "issue:4483|issue:6783", + "issue:2966|issue:4985", + "issue:1941|issue:3379", + "issue:11973|issue:9227", + "issue:7178|issue:9320", + "issue:13256|issue:7708", + "issue:4219|issue:4488", + "issue:4456|issue:4868", + "issue:2250|issue:3381", + "issue:2185|issue:5794", + "issue:1407|issue:5875", + "issue:5628|issue:7183" + ], + "prepared_review_unit_hash": "ff038538cefb72a5b2fa310a00b0e832a1975475f824ed073665f45e3c5878fd", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33894, + "estimated_input_tokens": 8474, + "estimated_eval_tokens": 17204 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a loose collection of mostly unrelated diffusers issues; the soft-similarity pairs share vocabulary or a subsystem, but not the same concrete bug, so none should be merged as duplicates. No pull requests are present. Issue 9227 is the best representative of the small Flux DreamBooth subgroup, but there is no strong duplicate hub overall.", + "confidence": 0.69, + "canonical_issue_reason": "Issue 9227 is the most concrete, self-contained report in the closest cluster (Flux DreamBooth LoRA training), with a specific script/model context and reproducible runtime problem.", + "canonical_pr_reason": null, + "best_issue_reason": "Among these issues, 9227 is the best anchor for triage because it is specific, actionable, and closest to the only apparent sub-theme in the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6162", + "right": "issue:6832", + "accept": false, + "reason": "Both mention IP-Adapter/shape errors, but they fail in different places with different exceptions and likely different root causes." + }, + { + "left": "issue:6518", + "right": "issue:9138", + "accept": false, + "reason": "Completely different errors: one is a NoneType floor-division failure in a distillation script, the other is an int-vs-str comparison type error." + }, + { + "left": "issue:7102", + "right": "issue:7450", + "accept": false, + "reason": "Both touch generation/model code, but one is a ControlNet multi-prompt bug and the other is an AutoencoderKL multithreading issue." + }, + { + "left": "issue:8380", + "right": "issue:9210", + "accept": false, + "reason": "Different code paths and symptoms: a ControlNet forward default-value question versus dataset column validation for image/text inputs." + }, + { + "left": "issue:2091", + "right": "issue:2213", + "accept": false, + "reason": "Both involve distributed training, but one is checkpoint resume on multi-GPU and the other is a TPU v4-8 hang with no distributed environment." + }, + { + "left": "issue:2799", + "right": "issue:5465", + "accept": false, + "reason": "One is checkpoint/pipeline mismatch handling; the other is a DiffEdit inpaint_strength limitation. Not the same bug." + }, + { + "left": "issue:1540", + "right": "issue:2412", + "accept": false, + "reason": "Both are Dreambooth-related, but one is missing MODEL_TYPE during execution and the other is a generic Dreambooth error with different failure details." + }, + { + "left": "issue:9350", + "right": "issue:9637", + "accept": false, + "reason": "Distinct problems: a deprecated txt_ids tensor shape warning versus an xFormers attention-mask/bfloat16 edge case." + }, + { + "left": "issue:6565", + "right": "issue:8909", + "accept": false, + "reason": "Different training workflows and failures: DPO loss instability versus saving text_encoder_ti in advanced Dreambooth LoRA training." + }, + { + "left": "issue:3591", + "right": "issue:6565", + "accept": false, + "reason": "ControlNet loss-curve confusion is not the same as DPO diffusion loss spikes/noised sample generation." + }, + { + "left": "issue:4674", + "right": "issue:6028", + "accept": false, + "reason": "A DiffusionPipeline memory leak when changing dimensions is unrelated to Kandinsky 3.0 out-of-memory errors." + }, + { + "left": "issue:1709", + "right": "issue:2265", + "accept": false, + "reason": "Both reference ONNX, but one is a pipeline tensor-astype bug and the other is ONNXRuntime incompatibility in a training script." + }, + { + "left": "issue:4483", + "right": "issue:6783", + "accept": false, + "reason": "Different models and defects: SDXL generator nondeterminism versus PixArt-XL generations being corrupted." + }, + { + "left": "issue:2966", + "right": "issue:4985", + "accept": false, + "reason": "Separate training issues with different symptoms: multi-GPU instruct-pix2pix problems versus SDXL training OOM." + }, + { + "left": "issue:1941", + "right": "issue:3379", + "accept": false, + "reason": "UnCLIP custom pipeline loading and Dreambooth checkpoint-resume are unrelated bugs." + }, + { + "left": "issue:11973", + "right": "issue:9227", + "accept": false, + "reason": "Same broad Flux/Dreambooth area, but different concrete failures: missing required CLI arg versus a runtime problem with a specific FLUX.1-dev model." + }, + { + "left": "issue:7178", + "right": "issue:9320", + "accept": false, + "reason": "Video export malfunction and custom diffusion save/load corruption are unrelated." + }, + { + "left": "issue:13256", + "right": "issue:7708", + "accept": false, + "reason": "One is a package-version compatibility complaint; the other is a missing tokenizer/config.json artifact in an SDXL model repo." + }, + { + "left": "issue:4219", + "right": "issue:4488", + "accept": false, + "reason": "Both concern ControlNet/SDXL loading, but one is about converting ControlNet checkpoints and the other is about SDXL ckpt loading without pipeline_class." + }, + { + "left": "issue:4456", + "right": "issue:4868", + "accept": false, + "reason": "Different AttributeErrors from different objects and code paths; not the same loader bug." + }, + { + "left": "issue:2250", + "right": "issue:3381", + "accept": false, + "reason": "Both are Dreambooth/inference-adjacent, but one fails to generate and the other has discolored batch inpaint output." + }, + { + "left": "issue:2185", + "right": "issue:5794", + "accept": false, + "reason": "Both mention missing config files, but one is a training-example packaging issue and the other is a model repo asset issue." + }, + { + "left": "issue:1407", + "right": "issue:5875", + "accept": false, + "reason": "Both relate to ONNX, but they are different conversion/pipeline problems with different missing inputs and failures." + }, + { + "left": "issue:5628", + "right": "issue:7183", + "accept": false, + "reason": "Scheduler offset behavior with Karras sigmas is not the same as a mislabeled scheduler config class name." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 300, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10302", + "issue:10467", + "issue:10638", + "issue:10803", + "issue:10804", + "issue:10963", + "issue:1099", + "issue:11169", + "issue:1255", + "issue:12606", + "issue:13035", + "issue:1784", + "issue:2213", + "issue:2410", + "issue:2674", + "issue:2737", + "issue:3788", + "issue:3901", + "issue:4037", + "issue:4139", + "issue:4578", + "issue:4720", + "issue:5017", + "issue:5178", + "issue:5919", + "issue:5932", + "issue:5957", + "issue:6093", + "issue:6176", + "issue:6363", + "issue:6368", + "issue:6399", + "issue:6445", + "issue:6517", + "issue:6533", + "issue:6801", + "issue:7012", + "issue:7221", + "issue:7243", + "issue:7330", + "issue:7569", + "issue:7751", + "issue:817", + "issue:8612", + "issue:9186", + "issue:9461", + "issue:9477", + "issue:9619" + ], + "soft_pairs": [ + "issue:4037|issue:7751", + "issue:6363|issue:6445", + "issue:2213|issue:2410", + "issue:10467|issue:10804", + "issue:7012|issue:7330", + "issue:10803|issue:7243", + "issue:11169|issue:13035", + "issue:1784|issue:2737", + "issue:3788|issue:6533", + "issue:4139|issue:817", + "issue:5017|issue:9186", + "issue:5957|issue:9619", + "issue:5932|issue:6176", + "issue:10302|issue:9461", + "issue:4720|issue:8612", + "issue:5178|issue:7569", + "issue:6368|issue:6517", + "issue:10638|issue:6801", + "issue:10963|issue:12606", + "issue:1099|issue:1255", + "issue:2674|issue:3901", + "issue:4578|issue:7221", + "issue:5919|issue:9477", + "issue:6093|issue:6399" + ], + "prepared_review_unit_hash": "c607aec9fda96aa92b6800a3ce57a974b535f2f1ff5861802d3e1119510eedaf", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34015, + "estimated_input_tokens": 8504, + "estimated_eval_tokens": 17264 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No convincing duplicate cluster here: the items span unrelated bugs, feature requests, and docs/import issues across different pipelines, schedulers, and models. I would not merge any of the soft edges.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:10302 is the clearest standalone bug report and the most broadly phrased among the set, but it does not subsume the other issues as duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4037", + "right": "issue:7751", + "accept": false, + "reason": "Different failures in different paths: ControlNet FSDP training validation vs Animatediff conversion errors." + }, + { + "left": "issue:6363", + "right": "issue:6445", + "accept": false, + "reason": "One is an FP16 gradient unscale runtime error; the other is a caption column validation error." + }, + { + "left": "issue:2213", + "right": "issue:2410", + "accept": false, + "reason": "TPU distributed hang is unrelated to missing output artifacts in the Flax training script." + }, + { + "left": "issue:10467", + "right": "issue:10804", + "accept": false, + "reason": "One is an FP8 example build artifact name; the other is a LoRA loading incompatibility." + }, + { + "left": "issue:7012", + "right": "issue:7330", + "accept": false, + "reason": "Different symptoms: v-prediction output quality vs FP16 gradient unscale failure during training." + }, + { + "left": "issue:10803", + "right": "issue:7243", + "accept": false, + "reason": "Different feature requests/new components: SANARubber vs ResAdapter pipeline proposal." + }, + { + "left": "issue:11169", + "right": "issue:13035", + "accept": false, + "reason": "Binary NumPy incompatibility is not the same as a missing MT5Tokenizer import." + }, + { + "left": "issue:1784", + "right": "issue:2737", + "accept": false, + "reason": "Generic multi-timestep scheduler support is not the same as CLIP guidance support for a specific scheduler." + }, + { + "left": "issue:3788", + "right": "issue:6533", + "accept": false, + "reason": "Different pipeline requests: UniControl vs Marigold depth estimation." + }, + { + "left": "issue:4139", + "right": "issue:817", + "accept": false, + "reason": "Both involve precision, but one is a custom attention processor cast issue and the other is a DreamBooth mixed-precision training problem." + }, + { + "left": "issue:5017", + "right": "issue:9186", + "accept": false, + "reason": "Control mode request is a feature ask; differential diffusion support is a distinct pipeline feature." + }, + { + "left": "issue:5957", + "right": "issue:9619", + "accept": false, + "reason": "LoRACompatibleConv padding_mode behavior is unrelated to adding interrupt support in ControlNet." + }, + { + "left": "issue:5932", + "right": "issue:6176", + "accept": false, + "reason": "Channel-mismatch runtime error is a different bug from loading LoRA weights after DreamBooth LoRA training." + }, + { + "left": "issue:10302", + "right": "issue:9461", + "accept": false, + "reason": "Both mention inference, but one is a concrete FP8 noise bug and the other is too vague/underspecified to be the same issue." + }, + { + "left": "issue:4720", + "right": "issue:8612", + "accept": false, + "reason": "AutoencoderTiny pipeline incompatibility is unrelated to Pixart-sigma mixed-precision inference." + }, + { + "left": "issue:5178", + "right": "issue:7569", + "accept": false, + "reason": "DPM-SDE resolution-change failure and a Mac FreeU test failure are different code paths and environments." + }, + { + "left": "issue:6368", + "right": "issue:6517", + "accept": false, + "reason": "Unsupported LoRA checkpoint layer metadata is not the same as a ControlNet SDXL import traceback." + }, + { + "left": "issue:10638", + "right": "issue:6801", + "accept": false, + "reason": "Scheduler script running issue is not the same as loading a scheduler on a specific diffusers version." + }, + { + "left": "issue:10963", + "right": "issue:12606", + "accept": false, + "reason": "Missing AutoencoderKLWan export and wrong import in a conversion script are separate import-path problems." + }, + { + "left": "issue:1099", + "right": "issue:1255", + "accept": false, + "reason": "Dreambooth class-name issue is unrelated to importing DPMSolverMultistepScheduler." + }, + { + "left": "issue:2674", + "right": "issue:3901", + "accept": false, + "reason": "Missing safetensors dependency is not the same as a missing requirements.txt file." + }, + { + "left": "issue:4578", + "right": "issue:7221", + "accept": false, + "reason": "Documentation about VAE usage is unrelated to noisy inference output." + }, + { + "left": "issue:5919", + "right": "issue:9477", + "accept": false, + "reason": "Missing set_lora_layer on Linear and a GatheredParameters callable error are different failures." + }, + { + "left": "issue:6093", + "right": "issue:6399", + "accept": false, + "reason": "Hub push behavior in a training script is not the same as LoRA visibility in UI tools." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 301, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10035", + "issue:10596", + "issue:11047", + "issue:11839", + "issue:11885", + "issue:13162", + "issue:1519", + "issue:1964", + "issue:2044", + "issue:2097", + "issue:2786", + "issue:2966", + "issue:3287", + "issue:4206", + "issue:4241", + "issue:4266", + "issue:4631", + "issue:4701", + "issue:5079", + "issue:5429", + "issue:5485", + "issue:5553", + "issue:5598", + "issue:5605", + "issue:5743", + "issue:5917", + "issue:6162", + "issue:6529", + "issue:6574", + "issue:6949", + "issue:7061", + "issue:7239", + "issue:7418", + "issue:7575", + "issue:7695", + "issue:7735", + "issue:7950", + "issue:8451", + "issue:8502", + "issue:8551", + "issue:861", + "issue:8613", + "issue:8850", + "issue:9336", + "issue:9477", + "issue:9568", + "issue:9889" + ], + "soft_pairs": [ + "issue:7061|issue:7418", + "issue:8451|issue:9336", + "issue:11885|issue:13162", + "issue:4631|issue:6949", + "issue:2097|issue:6162", + "issue:7735|issue:8613", + "issue:5553|issue:5917", + "issue:11047|issue:8502", + "issue:1519|issue:5485", + "issue:4701|issue:7575", + "issue:5598|issue:9477", + "issue:5605|issue:6529", + "issue:5743|issue:8551", + "issue:10035|issue:9568", + "issue:7950|issue:9889", + "issue:4266|issue:7239", + "issue:6574|issue:7695", + "issue:4206|issue:8850", + "issue:10596|issue:11839", + "issue:1964|issue:5429", + "issue:2044|issue:2966", + "issue:2786|issue:861", + "issue:3287|issue:4241", + "issue:3287|issue:5079" + ], + "prepared_review_unit_hash": "af89dbd52f50f778c7420573cce0f349e11c1976ab9f184abcd3f54f199afd25", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33289, + "estimated_input_tokens": 8323, + "estimated_eval_tokens": 16902 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: most items only share broad Diffusers/Flux/SDXL vocabulary, not the same bug. I rejected every soft edge as a true duplicate and picked issue 11885 only as the strongest standalone report, not because it clearly duplicates the others.", + "confidence": 0.46, + "canonical_issue_reason": "issue:11885 has the richest, most concrete bug report in the set, with detailed reproduction context and discussion; among unrelated issues, it is the best standalone anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11885 is the most specific and actionable issue here, making it the best representative if one must be chosen.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7061", + "right": "issue:7418", + "accept": false, + "reason": "Docstring wording vs a pipeline code bug are different problems; no evidence they describe the same underlying defect." + }, + { + "left": "issue:8451", + "right": "issue:9336", + "accept": false, + "reason": "Training-script parameter freeze documentation and IPAdapter requires_grad behavior are unrelated." + }, + { + "left": "issue:11885", + "right": "issue:13162", + "accept": false, + "reason": "Both mention LoRA/FLUX, but one is a load_lora_weights bug in a specific dev version and the other is a feature/support request for a different model; not the same bug." + }, + { + "left": "issue:4631", + "right": "issue:6949", + "accept": false, + "reason": "Same scheduler family, but one is a scalar conversion RuntimeError and the other is blank images at even step numbers; different failure modes." + }, + { + "left": "issue:2097", + "right": "issue:6162", + "accept": false, + "reason": "UNet1D usage and IP-Adapter shape mismatch are separate issues in different model paths." + }, + { + "left": "issue:7735", + "right": "issue:8613", + "accept": false, + "reason": "Missing caption column and OOM from caption column usage are distinct training failures." + }, + { + "left": "issue:5553", + "right": "issue:5917", + "accept": false, + "reason": "Custom model loading failure and checkpoint conversion regression are different code paths and symptoms." + }, + { + "left": "issue:11047", + "right": "issue:8502", + "accept": false, + "reason": "ControlNet inpaint availability and SD3 medium 512x512 generation are unrelated." + }, + { + "left": "issue:1519", + "right": "issue:5485", + "accept": false, + "reason": "Noisy batch output on Apple M2 and slow ControlNet batch inference are different bugs." + }, + { + "left": "issue:4701", + "right": "issue:7575", + "accept": false, + "reason": "Autoencoder decoder CUDA differentiation error and Transformer2DModel adanorm shape error are unrelated." + }, + { + "left": "issue:5598", + "right": "issue:9477", + "accept": false, + "reason": "A text-encoder modification bug and a GatheredParameters callable error do not describe the same underlying problem." + }, + { + "left": "issue:5605", + "right": "issue:6529", + "accept": false, + "reason": "Per-image caption support request and SDXL Fooocus Inpaint are unrelated." + }, + { + "left": "issue:5743", + "right": "issue:8551", + "accept": false, + "reason": "Training stuck at 0% and VAE latent device placement on balanced device_map are different issues." + }, + { + "left": "issue:10035", + "right": "issue:9568", + "accept": false, + "reason": "CogVideoX VAE memory growth and autoencoder reconstruction failure are different symptoms with no clear shared root cause." + }, + { + "left": "issue:7950", + "right": "issue:9889", + "accept": false, + "reason": "PyTorch version incompatibility and a torch/CUDA segmentation fault are not the same bug." + }, + { + "left": "issue:4266", + "right": "issue:7239", + "accept": false, + "reason": "Both are SDXL shape issues, but one is a Mac broadcast incompatibility and the other is a DreamBooth LoRA matmul dimension mismatch; not enough to treat as duplicates." + }, + { + "left": "issue:6574", + "right": "issue:7695", + "accept": false, + "reason": "An SVD pipeline warning and ignored ip_adapter_masks in attention are unrelated." + }, + { + "left": "issue:4206", + "right": "issue:8850", + "accept": false, + "reason": "Broken SDXL controlnet training and a broken community-pipelines mirror are different problems." + }, + { + "left": "issue:10596", + "right": "issue:11839", + "accept": false, + "reason": "Both involve Flux pipelines and shape/input errors, but they target different pipelines and different failure points; insufficient evidence of one root cause." + }, + { + "left": "issue:1964", + "right": "issue:5429", + "accept": false, + "reason": "PyTorch 2.0 support planning and adding no-VAE support in examples are unrelated." + }, + { + "left": "issue:2044", + "right": "issue:2966", + "accept": false, + "reason": "DDP dtype attribute error and multi-GPU training script issues are different bugs." + }, + { + "left": "issue:2786", + "right": "issue:861", + "accept": false, + "reason": "Depth2Img numpy/transformers compatibility and ckpt-to-diffusers conversion are unrelated." + }, + { + "left": "issue:3287", + "right": "issue:4241", + "accept": false, + "reason": "Support for improved DDPM and LoRA fine-tuning for unidiffusers are different feature requests." + }, + { + "left": "issue:3287", + "right": "issue:5079", + "accept": false, + "reason": "Support for improved DDPM and LoRA loading support are unrelated feature requests." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 302, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10303", + "issue:11436", + "issue:11497", + "issue:12610", + "issue:1405", + "issue:1486", + "issue:1746", + "issue:1990", + "issue:2392", + "issue:2437", + "issue:3182", + "issue:3401", + "issue:3854", + "issue:3958", + "issue:3970", + "issue:3975", + "issue:4116", + "issue:4241", + "issue:4255", + "issue:4269", + "issue:4353", + "issue:4383", + "issue:4414", + "issue:4438", + "issue:4993", + "issue:5016", + "issue:5017", + "issue:5171", + "issue:5335", + "issue:5368", + "issue:5372", + "issue:5570", + "issue:579", + "issue:5980", + "issue:6161", + "issue:6288", + "issue:6412", + "issue:6486", + "issue:6958", + "issue:7914", + "issue:7968", + "issue:8393", + "issue:8482", + "issue:8507", + "issue:8543", + "issue:8615", + "issue:9241", + "issue:9926" + ], + "soft_pairs": [ + "issue:3970|issue:4353", + "issue:3975|issue:7914", + "issue:4241|issue:8615", + "issue:4269|issue:5171", + "issue:4383|issue:5980", + "issue:4438|issue:5372", + "issue:4993|issue:5570", + "issue:6161|issue:9241", + "issue:6486|issue:8543", + "issue:8482|issue:9926", + "issue:1746|issue:579", + "issue:3401|issue:5368", + "issue:3182|issue:3958", + "issue:11436|issue:12610", + "issue:2392|issue:5335", + "issue:4255|issue:8393", + "issue:10303|issue:7968", + "issue:11497|issue:8507", + "issue:1405|issue:3854", + "issue:1486|issue:4414", + "issue:1990|issue:2437", + "issue:4116|issue:6958", + "issue:5016|issue:6288", + "issue:5017|issue:6412" + ], + "prepared_review_unit_hash": "c76f6fc213745b09aa20b551a9ab58db0a1f9de8fbdc8534797380ea41913573", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33670, + "estimated_input_tokens": 8418, + "estimated_eval_tokens": 17092 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a false-positive mix of unrelated issues spanning attention bugs, dtype/device mismatches, training scripts, ControlNet, SDXL, and feature requests. I found no true duplicate pair and no meaningful PR cluster.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue stands out; the items are thematically too unrelated to represent one underlying bug.", + "canonical_pr_reason": null, + "best_issue_reason": "No best issue overall: none of the issues cleanly covers the others or represents a shared root cause.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3970", + "right": "issue:4353", + "accept": false, + "reason": "Both mention SDXL, but one is prompt-embeddings failure and the other is generic poor image quality; different problems." + }, + { + "left": "issue:3975", + "right": "issue:7914", + "accept": false, + "reason": "Typo in an error message vs a device_map/textual-inversion runtime failure; unrelated." + }, + { + "left": "issue:4241", + "right": "issue:8615", + "accept": false, + "reason": "Feature request for LoRA fine-tuning vs adding fuse_lora support on SD3; not the same change." + }, + { + "left": "issue:4269", + "right": "issue:5171", + "accept": false, + "reason": "Different API failures in different pipelines: ControlNet check_inputs TypeError vs SDXL init kwarg error." + }, + { + "left": "issue:4383", + "right": "issue:5980", + "accept": false, + "reason": "ControlNet model usage question vs output file-format question; no shared underlying bug." + }, + { + "left": "issue:4438", + "right": "issue:5372", + "accept": false, + "reason": "Generic SDXL error report vs a safety_checker usage question; unrelated." + }, + { + "left": "issue:4993", + "right": "issue:5570", + "accept": false, + "reason": "Both are packaging/import issues, but they concern different missing symbols and different fixes." + }, + { + "left": "issue:6161", + "right": "issue:9241", + "accept": false, + "reason": "Sigma-handling behavior vs LoRA conversion script request; different code paths and goals." + }, + { + "left": "issue:6486", + "right": "issue:8543", + "accept": false, + "reason": "Embedding retraction happening twice vs gradient checkpointing failure; separate training bugs." + }, + { + "left": "issue:8482", + "right": "issue:9926", + "accept": false, + "reason": "SD3 model support request vs gguf quantization/speed support; different feature requests." + }, + { + "left": "issue:1746", + "right": "issue:579", + "accept": false, + "reason": "Flax pipeline error vs missing config.json in textual inversion; unrelated." + }, + { + "left": "issue:3401", + "right": "issue:5368", + "accept": false, + "reason": "Class label validation bug vs mixed-precision attention dtype mismatch; different failures." + }, + { + "left": "issue:3182", + "right": "issue:3958", + "accept": false, + "reason": "Both involve offload, but one is a custom pipeline CPU-offload incompatibility and the other is LoRA with CPU offload; not the same concrete bug." + }, + { + "left": "issue:11436", + "right": "issue:12610", + "accept": false, + "reason": "Both are mismatch errors, but one is dtype mismatch in Hidream inference and the other is device mismatch with Quanto + Group Offload; different root causes." + }, + { + "left": "issue:2392", + "right": "issue:5335", + "accept": false, + "reason": "Img2Img prompt_embeds ValueError vs a local deployment/network access question; no overlap." + }, + { + "left": "issue:4255", + "right": "issue:8393", + "accept": false, + "reason": "Image quality complaint vs slow checkpoint-shard loading; unrelated." + }, + { + "left": "issue:10303", + "right": "issue:7968", + "accept": false, + "reason": "head_to_batch_dim tensor permutation bug vs attention in motion module; not the same code-path problem." + }, + { + "left": "issue:11497", + "right": "issue:8507", + "accept": false, + "reason": "Cache key dependency bug in preprocessing vs SD3 train_text_encoder failure; different scripts and issues." + }, + { + "left": "issue:1405", + "right": "issue:3854", + "accept": false, + "reason": "Attention slicing breakage vs from_ckpt lockup; unrelated." + }, + { + "left": "issue:1486", + "right": "issue:4414", + "accept": false, + "reason": "DDIMScheduler prediction_type bug vs Consistency Model sampling issue; different components." + }, + { + "left": "issue:1990", + "right": "issue:2437", + "accept": false, + "reason": "Pipeline proposal for Depth2ImgVariation vs T2I-Adapter pipeline request; distinct features." + }, + { + "left": "issue:4116", + "right": "issue:6958", + "accept": false, + "reason": "SDXL img2img embeddings issue vs missing use_linear_projection in motion model; unrelated." + }, + { + "left": "issue:5016", + "right": "issue:6288", + "accept": false, + "reason": "DreamBooth LoRA text encoder training bug vs a learning-rate tuning complaint; different fixes." + }, + { + "left": "issue:5017", + "right": "issue:6412", + "accept": false, + "reason": "Control mode feature request vs ControlNet annotators to ONNX; not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 303, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10227", + "issue:11329", + "issue:11437", + "issue:11874", + "issue:12009", + "issue:13221", + "issue:2331", + "issue:2332", + "issue:3112", + "issue:3233", + "issue:338", + "issue:3380", + "issue:339", + "issue:3643", + "issue:3683", + "issue:3699", + "issue:3730", + "issue:3808", + "issue:3937", + "issue:3975", + "issue:4117", + "issue:4321", + "issue:4325", + "issue:4416", + "issue:4846", + "issue:497", + "issue:5233", + "issue:5284", + "issue:5485", + "issue:5866", + "issue:6093", + "issue:6222", + "issue:6242", + "issue:6250", + "issue:6533", + "issue:6570", + "issue:7142", + "issue:7197", + "issue:7440", + "issue:7450", + "issue:7640", + "issue:9350", + "issue:9476", + "issue:9530", + "issue:970", + "issue:9704", + "issue:9889", + "issue:9901" + ], + "soft_pairs": [ + "issue:6242|issue:7440", + "issue:9704|issue:9901", + "issue:11437|issue:9476", + "issue:6570|issue:9350", + "issue:11329|issue:9530", + "issue:3643|issue:7640", + "issue:2331|issue:6533", + "issue:4325|issue:5233", + "issue:7142|issue:9889", + "issue:3699|issue:970", + "issue:11874|issue:13221", + "issue:2332|issue:4846", + "issue:3233|issue:6093", + "issue:3808|issue:4117", + "issue:5284|issue:5866", + "issue:3975|issue:497", + "issue:5485|issue:6222", + "issue:6250|issue:7197", + "issue:3683|issue:7450", + "issue:10227|issue:12009", + "issue:3112|issue:5284", + "issue:338|issue:4416", + "issue:3380|issue:3730", + "issue:339|issue:4416", + "issue:3937|issue:4321" + ], + "prepared_review_unit_hash": "63c7ac267a3a0087cef05c3a970588cdb4f5b17d32bc40196d3e5d2bacb1710b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34017, + "estimated_input_tokens": 8505, + "estimated_eval_tokens": 17266 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the soft pairs link unrelated bugs, feature requests, tests, and training/runtime errors. No soft-edge pair looks like the same underlying issue or change.", + "confidence": 0.96, + "canonical_issue_reason": "Issue 10227 is the cleanest standalone bug report here: it names a specific exception and a concrete LoRA-related failure mode. The rest of the items are mostly unrelated subsystems or different error classes.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10227 is the most actionable representative issue, with a precise error message and clear bug framing. It is not a duplicate anchor for the other items, which are mostly unrelated.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6242", + "right": "issue:7440", + "accept": false, + "reason": "Different problems: dataset/log request vs dataset availability for text-to-image." + }, + { + "left": "issue:9704", + "right": "issue:9901", + "accept": false, + "reason": "Different failure modes: cuDNN execution-plan error vs tuple-shape AttributeError in attention processing." + }, + { + "left": "issue:11437", + "right": "issue:9476", + "accept": false, + "reason": "Unrelated symptoms: missing training outputs vs Flux validation dtype mismatch." + }, + { + "left": "issue:6570", + "right": "issue:9350", + "accept": false, + "reason": "Different SDXL issues: tensor-size mismatch in InstructPix2Pix vs deprecated txt_ids tensor shape warning." + }, + { + "left": "issue:11329", + "right": "issue:9530", + "accept": false, + "reason": "Both mention memory, but one is a bitsandbytes leak and the other is GPU memory freeing after torch.compile; different bugs." + }, + { + "left": "issue:3643", + "right": "issue:7640", + "accept": false, + "reason": "Both are runtime errors, but one is latent decoding overflow and the other is single-file load/dimensions behavior." + }, + { + "left": "issue:2331", + "right": "issue:6533", + "accept": false, + "reason": "Different feature areas: ControlNet pipeline addition vs Marigold depth pipeline." + }, + { + "left": "issue:4325", + "right": "issue:5233", + "accept": false, + "reason": "Different bugs: black SDXL images vs wrong callback step value." + }, + { + "left": "issue:7142", + "right": "issue:9889", + "accept": false, + "reason": "Both are SDXL inference-related, but one is result mismatch and the other is a CUDA segfault; not the same code-path issue." + }, + { + "left": "issue:3699", + "right": "issue:970", + "accept": false, + "reason": "Unrelated: macOS CUDA assertion vs generic integration test failures." + }, + { + "left": "issue:11874", + "right": "issue:13221", + "accept": false, + "reason": "Different LoRA topics: exclude_modules handling vs Zimage LoRA support request." + }, + { + "left": "issue:2332", + "right": "issue:4846", + "accept": false, + "reason": "Different dreambooth problems at different stages and with different symptoms." + }, + { + "left": "issue:3233", + "right": "issue:6093", + "accept": false, + "reason": "Different features: converting LoRA to safetensors vs push_to_hub repo creation in a training script." + }, + { + "left": "issue:3808", + "right": "issue:4117", + "accept": false, + "reason": "Both are Dreambooth training issues, but for different models/pipelines and failure modes." + }, + { + "left": "issue:5284", + "right": "issue:5866", + "accept": false, + "reason": "Feature request for ControlNet-LLLite support vs AnimateDiff+ControlNet combination issue." + }, + { + "left": "issue:3975", + "right": "issue:497", + "accept": false, + "reason": "Both are typo reports, but they concern different error messages and code paths." + }, + { + "left": "issue:5485", + "right": "issue:6222", + "accept": false, + "reason": "Performance slowdown in ControlNet batch inference vs DDPM scheduler batch-size dependency." + }, + { + "left": "issue:6250", + "right": "issue:7197", + "accept": false, + "reason": "Both mention KeyError, but they are different keys and different workflows (SDXL VAE loading vs resume training)." + }, + { + "left": "issue:3683", + "right": "issue:7450", + "accept": false, + "reason": "Save-pretrained support for Multi-ControlNet is unrelated to AutoencoderKL multithreading issues." + }, + { + "left": "issue:10227", + "right": "issue:12009", + "accept": false, + "reason": "Different loader failures: LoRA feature-shape limitation vs GGUF single-file load hitting meta-tensor copy error." + }, + { + "left": "issue:3112", + "right": "issue:5284", + "accept": false, + "reason": "Multi-ControlNet inpainting pipeline request is not the same as ControlNet-LLLite support." + }, + { + "left": "issue:338", + "right": "issue:4416", + "accept": false, + "reason": "Both are test-related, but they cover different components and test additions." + }, + { + "left": "issue:3380", + "right": "issue:3730", + "accept": false, + "reason": "Different bugs: embedding size calculation vs wrong timestep in inpainting blending." + }, + { + "left": "issue:339", + "right": "issue:4416", + "accept": false, + "reason": "Separate test requests for different schedulers/adapters; not the same underlying issue." + }, + { + "left": "issue:3937", + "right": "issue:4321", + "accept": false, + "reason": "Unrelated: ZeroscopeXL model behavior vs ONNX DirectML black-image bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 304, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10239", + "issue:10653", + "issue:10865", + "issue:10954", + "issue:1537", + "issue:1672", + "issue:1708", + "issue:2185", + "issue:2659", + "issue:2988", + "issue:3280", + "issue:3355", + "issue:3880", + "issue:3948", + "issue:3975", + "issue:4279", + "issue:4403", + "issue:4554", + "issue:457", + "issue:4720", + "issue:5108", + "issue:5135", + "issue:5153", + "issue:5256", + "issue:5575", + "issue:5578", + "issue:5607", + "issue:5685", + "issue:5925", + "issue:5977", + "issue:6252", + "issue:6363", + "issue:6399", + "issue:6454", + "issue:6731", + "issue:6901", + "issue:7183", + "issue:7185", + "issue:7214", + "issue:7217", + "issue:7333", + "issue:8264", + "issue:9032", + "issue:9278", + "issue:9320", + "issue:9361", + "issue:9370", + "issue:9471" + ], + "soft_pairs": [ + "issue:4279|issue:5108", + "issue:4403|issue:5578", + "issue:4554|issue:9032", + "issue:5135|issue:5575", + "issue:5153|issue:7333", + "issue:5256|issue:5925", + "issue:5977|issue:6399", + "issue:6454|issue:6731", + "issue:6901|issue:9370", + "issue:8264|issue:9278", + "issue:6363|issue:9471", + "issue:1537|issue:457", + "issue:1708|issue:2185", + "issue:6252|issue:9320", + "issue:3355|issue:3975", + "issue:1672|issue:3948", + "issue:2659|issue:5607", + "issue:3280|issue:7214", + "issue:10239|issue:10653", + "issue:2988|issue:5685", + "issue:7183|issue:7217", + "issue:3880|issue:4720", + "issue:10865|issue:7185", + "issue:10954|issue:9361" + ], + "prepared_review_unit_hash": "9bc4fb09e3584ab8598ab3267489cf4bda4a69882f322cb85447a9943daf2dc6", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33802, + "estimated_input_tokens": 8451, + "estimated_eval_tokens": 17158 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a set of loosely similar but ultimately unrelated issues; none of the soft pairs look like true duplicates or the same underlying change.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue stands out because the items span unrelated bugs, feature requests, and model/pipeline-specific failures.", + "canonical_pr_reason": null, + "best_issue_reason": "No strong global best issue: 10239 is a concrete bug report, but it is too narrow and not representative of the rest of the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4279", + "right": "issue:5108", + "accept": false, + "reason": "Both mention LoRA loading problems, but they concern different model families and different failure modes (SDXL LoRAs vs T2I Multiadapter XL exceptions)." + }, + { + "left": "issue:4403", + "right": "issue:5578", + "accept": false, + "reason": "One is a missing Half LayerNorm kernel on a runtime backend; the other is an OSError about a missing model_index.json file." + }, + { + "left": "issue:4554", + "right": "issue:9032", + "accept": false, + "reason": "OOM in a Kandinsky example is unrelated to a request for a TPU minimal example in Colab." + }, + { + "left": "issue:5135", + "right": "issue:5575", + "accept": false, + "reason": "LoRA quality degradation/xformers behavior is a different problem from configuring transformer_in hidden size for LoRA training." + }, + { + "left": "issue:5153", + "right": "issue:7333", + "accept": false, + "reason": "FreeU is a feature proposal, while the other is about an image-to-video noise rectification method; not the same bug or change." + }, + { + "left": "issue:5256", + "right": "issue:5925", + "accept": false, + "reason": "Training support for Insta-Flow and adding ZipLora for multi-LoRA inference are separate enhancements." + }, + { + "left": "issue:5977", + "right": "issue:6399", + "accept": false, + "reason": "Saving extra unet.unet keys during LoRA training and LoRA visibility in UIs are related only at a high level, not the same concrete issue." + }, + { + "left": "issue:6454", + "right": "issue:6731", + "accept": false, + "reason": "FP16 unscale-gradient training failure is unrelated to an unhandled pipeline-class error." + }, + { + "left": "issue:6901", + "right": "issue:9370", + "accept": false, + "reason": "A missing clip_sample implementation in a scheduler is a different defect from a missing pooled_projection argument in an embedding forward method." + }, + { + "left": "issue:8264", + "right": "issue:9278", + "accept": false, + "reason": "Train stopping at 0% and FLUX.1-dev multigpu DreamBooth training are different training problems." + }, + { + "left": "issue:6363", + "right": "issue:9471", + "accept": false, + "reason": "Attempting to unscale FP16 gradients is unrelated to a resource-type detection error from multiple file extensions." + }, + { + "left": "issue:1537", + "right": "issue:457", + "accept": false, + "reason": "Both involve MPS, but one is a scheduler incompatibility and the other is rendering artifacts; not the same bug." + }, + { + "left": "issue:1708", + "right": "issue:2185", + "accept": false, + "reason": "How to pass a yaml config for inference and missing config files for training are separate documentation/configuration issues." + }, + { + "left": "issue:6252", + "right": "issue:9320", + "accept": false, + "reason": "LoRA weights not loading from a checkpoint and finetuned models not being saved/loaded properly in custom diffusion are different persistence paths and problems." + }, + { + "left": "issue:3355", + "right": "issue:3975", + "accept": false, + "reason": "Inconsistent safetensors loading behavior is not the same as a typo in an error message." + }, + { + "left": "issue:1672", + "right": "issue:3948", + "accept": false, + "reason": "Wrong image size after conversion and pale generated images are distinct output-quality bugs." + }, + { + "left": "issue:2659", + "right": "issue:5607", + "accept": false, + "reason": "Batch-size-dependent variation in generated images is a different issue from a tensor dimension mismatch crash." + }, + { + "left": "issue:3280", + "right": "issue:7214", + "accept": false, + "reason": "General scheduler incompatibility with DeepFloyd IF and a specific karras_sigmas regression are related only by subsystem, not by same bug." + }, + { + "left": "issue:10239", + "right": "issue:10653", + "accept": false, + "reason": "Both concern HunyuanVideo offload/loading, but one is about sequential CPU offload support and the other is about bitsandbytes 8-bit modules not supporting .to(cpu); different code paths." + }, + { + "left": "issue:2988", + "right": "issue:5685", + "accept": false, + "reason": "A crash when num_training_steps equals num_inference_steps is not the same as a vague report of potential scheduler issues." + }, + { + "left": "issue:7183", + "right": "issue:7217", + "accept": false, + "reason": "Wrong scheduler class name in config after switching schedulers is unrelated to DDIM config incompatibility." + }, + { + "left": "issue:3880", + "right": "issue:4720", + "accept": false, + "reason": "Inpainting degradation and AutoencoderTiny incompatibility with img2img/inpainting are different root causes and fixes." + }, + { + "left": "issue:10865", + "right": "issue:7185", + "accept": false, + "reason": "A model choice question for SDXL inpainting is unrelated to whether diffusers supports PyTorch 2.2.0." + }, + { + "left": "issue:10954", + "right": "issue:9361", + "accept": false, + "reason": "A FLUX.1-dev LoRA loading failure in ComfyUI and a LoRA having no effect with FluxPipeline.from_pretrained() are distinct inference failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 305, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11343", + "issue:12147", + "issue:13261", + "issue:1363", + "issue:1405", + "issue:1572", + "issue:1633", + "issue:1730", + "issue:2599", + "issue:3008", + "issue:3303", + "issue:3441", + "issue:3597", + "issue:3631", + "issue:409", + "issue:4111", + "issue:4446", + "issue:4677", + "issue:4720", + "issue:5022", + "issue:5079", + "issue:514", + "issue:5429", + "issue:5607", + "issue:5678", + "issue:5931", + "issue:5989", + "issue:6222", + "issue:6335", + "issue:6385", + "issue:6431", + "issue:6506", + "issue:6513", + "issue:6572", + "issue:6639", + "issue:6956", + "issue:7142", + "issue:7355", + "issue:7438", + "issue:7549", + "issue:8435", + "issue:8970", + "issue:9034", + "issue:9167", + "issue:9387", + "issue:9476", + "issue:9488" + ], + "soft_pairs": [ + "issue:12147|issue:13261", + "issue:1633|issue:5079", + "issue:3303|issue:514", + "issue:5429|issue:6513", + "issue:6572|issue:9387", + "issue:6639|issue:7142", + "issue:6506|issue:6956", + "issue:1730|issue:2599", + "issue:3441|issue:5678", + "issue:1363|issue:3008", + "issue:6385|issue:6956", + "issue:7355|issue:9476", + "issue:5607|issue:6222", + "issue:11343|issue:9167", + "issue:4111|issue:6431", + "issue:5989|issue:7549", + "issue:8970|issue:9488", + "issue:1405|issue:409", + "issue:4446|issue:8435", + "issue:3597|issue:6335", + "issue:5931|issue:7438", + "issue:1572|issue:4677", + "issue:3631|issue:4720", + "issue:5022|issue:9034" + ], + "prepared_review_unit_hash": "aff90623733cffe9072deb8516452b62de836c72bc967258b2411e2581ac536d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33339, + "estimated_input_tokens": 8335, + "estimated_eval_tokens": 16926 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is noisy: the items span many unrelated diffusers bugs (loading/imports, LoRA, specific pipelines, memory issues, scheduler behavior, etc.). I would not merge the soft pairs; they are mostly superficially similar titles, not the same underlying defect.", + "confidence": 0.89, + "canonical_issue_reason": "issue:6431 is the broadest and most representative loading-failure report in the set, with high discussion and references; if one issue must anchor the cluster, this is the closest fit.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6431 best captures the cluster\u2019s general 'pipelines won\u2019t load' theme and is more central than the narrower model- or pipeline-specific reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12147", + "right": "issue:13261", + "accept": false, + "reason": "Different models and failure modes: Wan2.2 Lightning LoRA loading vs FLUX.2-klein-9B LoRA/LoKR incompatibility. Same broad LoRA area, but not the same bug." + }, + { + "left": "issue:1633", + "right": "issue:5079", + "accept": false, + "reason": "Karras sigma support in k-diffusion wrapper vs LyCORIS loading support. Different feature requests in different code paths." + }, + { + "left": "issue:3303", + "right": "issue:514", + "accept": false, + "reason": "One is a missing triton dependency in Modelscope; the other is attention slicing errors. Unrelated runtime problems." + }, + { + "left": "issue:5429", + "right": "issue:6513", + "accept": false, + "reason": "Models without VAE in examples vs T2IAdapter support for a specific model. Both are support gaps, but not the same underlying issue." + }, + { + "left": "issue:6572", + "right": "issue:9387", + "accept": false, + "reason": "ControlNetXS-SDXL-Inpaint-Pipeline request vs MimicMotion pipeline request. Different pipeline additions." + }, + { + "left": "issue:6639", + "right": "issue:7142", + "accept": false, + "reason": "SDXL LoRA loading output mismatch vs SDXL-lightning inference differing from webui. Similar area, but different behavior and likely different causes." + }, + { + "left": "issue:6506", + "right": "issue:6956", + "accept": false, + "reason": "Wrong output type for StableVideoDiffusion vs CUDA OOM on SageMaker. Different bugs and symptoms." + }, + { + "left": "issue:1730", + "right": "issue:2599", + "accept": false, + "reason": "CKPT conversion/import failure vs Dreambooth multi-subject training quality degradation. Completely different problems." + }, + { + "left": "issue:3441", + "right": "issue:5678", + "accept": false, + "reason": "VRAM usage regression vs higher-order derivative error in scaled_dot_product_attention. Different code paths and failure types." + }, + { + "left": "issue:1363", + "right": "issue:3008", + "accept": false, + "reason": "ONNX long-prompt/LMS scheduler error vs lpw_stable_diffusion torch.randn argument issue. Different pipelines and bugs." + }, + { + "left": "issue:6385", + "right": "issue:6956", + "accept": false, + "reason": "Both are memory-related in video diffusion, but one reports abnormally high VRAM generally while the other is an OOM on SageMaker. Not the same concrete defect." + }, + { + "left": "issue:7355", + "right": "issue:9476", + "accept": false, + "reason": "Stable Cascade arbitrary-resolution/bfloat16 error vs Flux dreambooth validation dtype mismatch. Different models and error conditions." + }, + { + "left": "issue:5607", + "right": "issue:6222", + "accept": false, + "reason": "Tensor shape mismatch in generation vs DDPM scheduler batch-size dependency. Related at a high level, but not the same bug." + }, + { + "left": "issue:11343", + "right": "issue:9167", + "accept": false, + "reason": "Transformers update breaking diffusers imports vs cannot import StableDiffusion3Pipeline. Different import regressions." + }, + { + "left": "issue:4111", + "right": "issue:6431", + "accept": false, + "reason": "SDXL img2img loading VRAM issue vs generic 'none of the pipelines will load anymore'. Related only by loading problems, not the same underlying bug." + }, + { + "left": "issue:5989", + "right": "issue:7549", + "accept": false, + "reason": "A safetensors.torch bug vs potential UNet EMA bug in an SDXL training script. Different layers and different failure modes." + }, + { + "left": "issue:8970", + "right": "issue:9488", + "accept": false, + "reason": "Kolors MPS black image vs Lumina pipeline fails to generate any image. Both are output failures, but model-specific and not the same code-path issue." + }, + { + "left": "issue:1405", + "right": "issue:409", + "accept": false, + "reason": "Both mention attention slicing, but one is a broken method call on main and the other is an AttributeError on StableDiffusionPipeline. Closely related, yet not clearly the same bug instance." + }, + { + "left": "issue:4446", + "right": "issue:8435", + "accept": false, + "reason": "Custom text_encoder in from_single_file vs generic from_single_file runtime error. Same API family, but insufficient evidence they are the same defect." + }, + { + "left": "issue:3597", + "right": "issue:6335", + "accept": false, + "reason": "ONNX lpw_stable_diffusion failure vs ControlNetImg2Img output-size control bug. Different pipelines and symptoms." + }, + { + "left": "issue:5931", + "right": "issue:7438", + "accept": false, + "reason": "Non-deterministic generation vs XPU generation stall. Different behavioral issues." + }, + { + "left": "issue:1572", + "right": "issue:4677", + "accept": false, + "reason": "Stable_diffusion_mega img2img/inpainting incompatibility vs a doc example script error. One is a pipeline capability bug; the other is a documentation/example failure." + }, + { + "left": "issue:3631", + "right": "issue:4720", + "accept": false, + "reason": "Inpainting pipeline exception when providing latents vs AutoencoderTiny incompatibility with img2img/inpainting. Both touch inpainting, but one is a latents-handling bug and the other is an autoencoder compatibility issue." + }, + { + "left": "issue:5022", + "right": "issue:9034", + "accept": false, + "reason": "UNet2DModel import error due missing PreTrainedTokenizer vs AutoPipelineForText2Image requiring sentencepiece. Different dependency/import problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 306, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10039", + "issue:10227", + "issue:10659", + "issue:10866", + "issue:11569", + "issue:11687", + "issue:13067", + "issue:1335", + "issue:1445", + "issue:1478", + "issue:1785", + "issue:1831", + "issue:2089", + "issue:228", + "issue:2324", + "issue:2961", + "issue:3010", + "issue:3301", + "issue:3366", + "issue:3452", + "issue:3750", + "issue:4269", + "issue:444", + "issue:4450", + "issue:4456", + "issue:4557", + "issue:4702", + "issue:5138", + "issue:5433", + "issue:6068", + "issue:6157", + "issue:6234", + "issue:6549", + "issue:6552", + "issue:6584", + "issue:6891", + "issue:6934", + "issue:7441", + "issue:7456", + "issue:7556", + "issue:8317", + "issue:8809", + "issue:8887", + "issue:892", + "issue:9106", + "issue:9371", + "issue:9793", + "issue:984" + ], + "soft_pairs": [ + "issue:6584|issue:6934", + "issue:1831|issue:2089", + "issue:1445|issue:444", + "issue:10227|issue:8809", + "issue:10039|issue:6234", + "issue:11569|issue:9371", + "issue:11687|issue:13067", + "issue:1335|issue:4269", + "issue:228|issue:3452", + "issue:2324|issue:3301", + "issue:2961|issue:4702", + "issue:3010|issue:7556", + "issue:4456|issue:4557", + "issue:5138|issue:8887", + "issue:6552|issue:6891", + "issue:7441|issue:9106", + "issue:7456|issue:8317", + "issue:1478|issue:1785", + "issue:5433|issue:6068", + "issue:892|issue:984", + "issue:3366|issue:4450", + "issue:3750|issue:6549", + "issue:10659|issue:10866", + "issue:6157|issue:9793" + ], + "prepared_review_unit_hash": "504ce5552769a71ac357db0acff42382140407eaf718bb2d51877bcc82fb35da", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33776, + "estimated_input_tokens": 8444, + "estimated_eval_tokens": 17144 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a false-positive similarity group: the items span unrelated bugs, feature requests, docs updates, and training/model-specific problems. No soft pair looks like the same concrete issue or change.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue is safe here; the cluster mixes unrelated topics across different pipelines, training scripts, docs, and model families, so any one issue would misrepresent the group.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a good global representative: the set is too heterogeneous to nominate one as the best duplicate target or canonical anchor.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6584", + "right": "issue:6934", + "accept": false, + "reason": "Both are conversion-related, but one is a specific DreamShaper inpaint conversion failure and the other is a broken SDXL format conversion path; different concrete bugs." + }, + { + "left": "issue:1831", + "right": "issue:2089", + "accept": false, + "reason": "Both mention DreamBooth, but one is a precision mismatch for class images and the other is CUDA OOM during AltDiffusion training; not the same bug." + }, + { + "left": "issue:1445", + "right": "issue:444", + "accept": false, + "reason": "Legacy ONNX inpaint AttributeError vs an index error on num_inference_steps; unrelated code paths and failures." + }, + { + "left": "issue:10227", + "right": "issue:8809", + "accept": false, + "reason": "LoRA feature limitation in one issue and sequence-length output inconsistency in the other are different problems." + }, + { + "left": "issue:10039", + "right": "issue:6234", + "accept": false, + "reason": "Missing output sample size in a UNet block is unrelated to a training script issue." + }, + { + "left": "issue:11569", + "right": "issue:9371", + "accept": false, + "reason": "A feature request for a repo and a Flax pipeline API refactor are not the same underlying change." + }, + { + "left": "issue:11687", + "right": "issue:13067", + "accept": false, + "reason": "Docs request for Pruna and feature support for Anima are different topics." + }, + { + "left": "issue:1335", + "right": "issue:4269", + "accept": false, + "reason": "ONNXStableDiffusionPipeline constructor error vs ControlNet input-check TypeError; different pipelines and code paths." + }, + { + "left": "issue:228", + "right": "issue:3452", + "accept": false, + "reason": "Broken model download link and low-VRAM DreamBooth training are unrelated." + }, + { + "left": "issue:2324", + "right": "issue:3301", + "accept": false, + "reason": "Both are DreamBooth training complaints, but one is about instance data not being read while the other is a LoRA training script failure; too broad to merge." + }, + { + "left": "issue:2961", + "right": "issue:4702", + "accept": false, + "reason": "StableUnCLIP training example request and VQ-VAE example request are distinct feature/example asks." + }, + { + "left": "issue:3010", + "right": "issue:7556", + "accept": false, + "reason": "Both are docs-related, but they cover different documentation areas and changes." + }, + { + "left": "issue:4456", + "right": "issue:4557", + "accept": false, + "reason": "ModuleList indexing AttributeError in LoRA loading is unrelated to a super().__getattr__ AttributeError." + }, + { + "left": "issue:5138", + "right": "issue:8887", + "accept": false, + "reason": "Moving compute_snr to training_utils and fixing SD3 VAE encode are unrelated training-script changes." + }, + { + "left": "issue:6552", + "right": "issue:6891", + "accept": false, + "reason": "Both are tracker issues, but one targets FP16 resume problems and the other model card utilities; different underlying work." + }, + { + "left": "issue:7441", + "right": "issue:9106", + "accept": false, + "reason": "Pytest on Python 3.12 and a PixArt-alpha no-attribute runtime error are unrelated failures." + }, + { + "left": "issue:7456", + "right": "issue:8317", + "accept": false, + "reason": "A missing raise statement and a missing generator argument are separate defects." + }, + { + "left": "issue:1478", + "right": "issue:1785", + "accept": false, + "reason": "Both involve multiple outputs, but one is an upscaler output limitation and the other is num_images_per_prompt in UnCLIP; not the same bug." + }, + { + "left": "issue:5433", + "right": "issue:6068", + "accept": false, + "reason": "Both are SDXL sampling quality issues, but they affect different schedulers and have different symptom descriptions." + }, + { + "left": "issue:892", + "right": "issue:984", + "accept": false, + "reason": "NVIDIA container compatibility and F.interpolate large-batch breakage are unrelated." + }, + { + "left": "issue:3366", + "right": "issue:4450", + "accept": false, + "reason": "LoRALinearLayer autocast regression and multi-text inversion example failure are different problems." + }, + { + "left": "issue:3750", + "right": "issue:6549", + "accept": false, + "reason": "Lack of LoRA loading support in KDiffusion and IP-Adapter+LoRA warning logs are different issues, not one fix." + }, + { + "left": "issue:10659", + "right": "issue:10866", + "accept": false, + "reason": "ConsisID output quality and Lumina Image 2.0 LoRA compatibility are model-specific and unrelated." + }, + { + "left": "issue:6157", + "right": "issue:9793", + "accept": false, + "reason": "IP-Adapter not working in ControlNet img2img and a stale progress bar are unrelated bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 307, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10591", + "issue:1072", + "issue:10967", + "issue:11050", + "issue:11133", + "issue:11410", + "issue:11827", + "issue:12606", + "issue:13104", + "issue:1895", + "issue:222", + "issue:2359", + "issue:2375", + "issue:281", + "issue:3540", + "issue:3748", + "issue:3933", + "issue:4213", + "issue:4250", + "issue:4304", + "issue:4400", + "issue:4419", + "issue:4605", + "issue:4630", + "issue:5254", + "issue:5314", + "issue:5594", + "issue:6087", + "issue:6094", + "issue:6354", + "issue:6598", + "issue:6686", + "issue:6958", + "issue:7061", + "issue:7228", + "issue:7420", + "issue:7762", + "issue:8410", + "issue:8493", + "issue:8935", + "issue:9051", + "issue:9186", + "issue:9387", + "issue:9471", + "issue:9530", + "issue:9756", + "issue:9944" + ], + "soft_pairs": [ + "issue:4605|issue:5254", + "issue:6087|issue:6686", + "issue:8493|issue:9944", + "issue:8935|issue:9051", + "issue:10591|issue:12606", + "issue:10967|issue:8410", + "issue:6686|issue:9530", + "issue:3540|issue:6094", + "issue:3933|issue:7420", + "issue:11050|issue:13104", + "issue:1895|issue:222", + "issue:2359|issue:5594", + "issue:2375|issue:4213", + "issue:3748|issue:7228", + "issue:4304|issue:4400", + "issue:4419|issue:7061", + "issue:5314|issue:9387", + "issue:6958|issue:9756", + "issue:11133|issue:11827", + "issue:11410|issue:9471", + "issue:6598|issue:7762", + "issue:1072|issue:4250", + "issue:281|issue:4630", + "issue:6354|issue:9186" + ], + "prepared_review_unit_hash": "899b6ea8cc46bf439a56319d07d7b466c23397b4a49c89349ecc056d7473aaa1", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33261, + "estimated_input_tokens": 8316, + "estimated_eval_tokens": 16888 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated diffusers issues. The soft pairs share only broad keywords like LoRA, loading, pipelines, or SD3, but they describe different code paths and failure modes, so none should be merged as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": "No single issue clearly represents the same underlying bug as the others; the set spans unrelated subsystems (SD3 training, model loading, attention, compile, video, and docs).", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11050 is the clearest, most concrete bug report with a specific file, symptom, and fix target, so it is the best triage anchor among these issues, though it is not a duplicate match for the rest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4605", + "right": "issue:5254", + "accept": false, + "reason": "Both are control/inpaint-related, but one is an inpaint-model error and the other requests multi-ControlNet support; different features and failures." + }, + { + "left": "issue:6087", + "right": "issue:6686", + "accept": false, + "reason": "One is about persisting LoRA config/alpha correctly, the other about Dynamo compile performance after save/load; same general area, different bug." + }, + { + "left": "issue:8493", + "right": "issue:9944", + "accept": false, + "reason": "Both involve SD3 loading, but one is a state_dict mismatch in SD3Transformer2DModel and the other is SD3.5 size mismatch; different model/version issues." + }, + { + "left": "issue:8935", + "right": "issue:9051", + "accept": false, + "reason": "Both are batch/long-prompt shape issues in different pipelines (AuraFlow vs Flux); not the same code path or symptom." + }, + { + "left": "issue:10591", + "right": "issue:12606", + "accept": false, + "reason": "One is an SD3 LoRA training script problem, the other is a wrong import in a conversion utility; unrelated fixes." + }, + { + "left": "issue:10967", + "right": "issue:8410", + "accept": false, + "reason": "Both are requests to add models/pipelines, but they are different implementations and roadmap items, not the same change." + }, + { + "left": "issue:6686", + "right": "issue:9530", + "accept": false, + "reason": "Both mention save/load and compilation, but one is about no speedup after recompilation and the other is about GPU memory freeing after torch.compile; distinct problems." + }, + { + "left": "issue:3540", + "right": "issue:6094", + "accept": false, + "reason": "Both concern prompt-embed handling, but one is a TextToVideoZero API support request while the other is a broader pipeline regression after an update." + }, + { + "left": "issue:3933", + "right": "issue:7420", + "accept": false, + "reason": "Both involve compilation, but one is logging breaking graph compile and the other is a generic torch.compile failure; not the same defect." + }, + { + "left": "issue:11050", + "right": "issue:13104", + "accept": false, + "reason": "One is a dtype-casting bug in an SD3 controlnet training script; the other is an undefined logger issue in a different code path." + }, + { + "left": "issue:1895", + "right": "issue:222", + "accept": false, + "reason": "Both are training/runtime failures, but the first is EMA multi-GPU synchronization and the second is an unspecified runtime error; too broad to merge." + }, + { + "left": "issue:2359", + "right": "issue:5594", + "accept": false, + "reason": "One asks for latent output support in img2img; the other is about LoRA fine-tuning memory savings. Different features." + }, + { + "left": "issue:2375", + "right": "issue:4213", + "accept": false, + "reason": "Both are model-loading related, but one is a missing safe_open import and the other is loading SDXL from_single_file without accelerate; not the same bug." + }, + { + "left": "issue:3748", + "right": "issue:7228", + "accept": false, + "reason": "Both are loading-related errors, but one is a LoRA safetensor dtype mismatch and the other is a traced-model dtype attribute error." + }, + { + "left": "issue:4304", + "right": "issue:4400", + "accept": false, + "reason": "One requests SDXL text-to-image LoRA training support; the other asks about text_encoder support in an inpaint LoRA script. Related domain, different work." + }, + { + "left": "issue:4419", + "right": "issue:7061", + "accept": false, + "reason": "The first is an inference mismatch for offset noise, while the second is an incorrect docstring; not the same issue class." + }, + { + "left": "issue:5314", + "right": "issue:9387", + "accept": false, + "reason": "One requests a ControlNet reference inpainting pipeline, the other is a MimicMotion pipeline addition; separate features." + }, + { + "left": "issue:6958", + "right": "issue:9756", + "accept": false, + "reason": "Mid-block projection configuration in unet_motion_model is unrelated to a missing notebook file." + }, + { + "left": "issue:11133", + "right": "issue:11827", + "accept": false, + "reason": "One is a CogVideoX image-to-video pipeline bug; the other is a FLUX Kontext safetensors header error. Different models and failure modes." + }, + { + "left": "issue:11410", + "right": "issue:9471", + "accept": false, + "reason": "One is an attention unpacking error in runtime; the other is a file-extension/resource-type loading error. Different layers of the stack." + }, + { + "left": "issue:6598", + "right": "issue:7762", + "accept": false, + "reason": "Both compare outputs against A1111, but one is about img2img result differences and the other is a generic bad-result report; insufficiently specific and likely different causes." + }, + { + "left": "issue:1072", + "right": "issue:4250", + "accept": false, + "reason": "One is a question about loading multiple fine-tuned models; the other reports from_pretrained loading incorrectly. Same broad area, not the same bug." + }, + { + "left": "issue:281", + "right": "issue:4630", + "accept": false, + "reason": "Both touch model loading/LoRA workflows, but one is a request for Accelerate-native loading and the other is post-load LoRA weight modification." + }, + { + "left": "issue:6354", + "right": "issue:9186", + "accept": false, + "reason": "One asks for LoRA support in ControlNet, while the other is about differential diffusion with ControlNet. Different feature requests." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 308, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10039", + "issue:10147", + "issue:10659", + "issue:10797", + "issue:1082", + "issue:11005", + "issue:11229", + "issue:11486", + "issue:1158", + "issue:12329", + "issue:12653", + "issue:13043", + "issue:13073", + "issue:13386", + "issue:1500", + "issue:1572", + "issue:1574", + "issue:1614", + "issue:1734", + "issue:1961", + "issue:1990", + "issue:2444", + "issue:2578", + "issue:2883", + "issue:3774", + "issue:4210", + "issue:4353", + "issue:4354", + "issue:4708", + "issue:4782", + "issue:4907", + "issue:5110", + "issue:5604", + "issue:5835", + "issue:5972", + "issue:6363", + "issue:6407", + "issue:7418", + "issue:7686", + "issue:7773", + "issue:7784", + "issue:7889", + "issue:7900", + "issue:835", + "issue:8873", + "issue:9106", + "issue:9674", + "issue:9856" + ], + "soft_pairs": [ + "issue:2578|issue:5604", + "issue:12329|issue:13073", + "issue:11229|issue:12653", + "issue:11005|issue:7418", + "issue:1158|issue:1500", + "issue:1574|issue:3774", + "issue:1990|issue:2883", + "issue:4354|issue:5835", + "issue:4708|issue:5110", + "issue:13043|issue:13386", + "issue:1082|issue:1961", + "issue:10659|issue:10797", + "issue:4210|issue:7889", + "issue:4353|issue:4907", + "issue:11486|issue:9856", + "issue:1734|issue:2444", + "issue:7784|issue:9106", + "issue:7900|issue:8873", + "issue:6363|issue:7686", + "issue:1614|issue:835", + "issue:5972|issue:9674", + "issue:1572|issue:4782", + "issue:10039|issue:7773", + "issue:10147|issue:6407" + ], + "prepared_review_unit_hash": "566236b3527e066af872a180b5e7177c67c343dee06fc24f6d2fe61651340c87", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34261, + "estimated_input_tokens": 8566, + "estimated_eval_tokens": 17388 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the items span unrelated bugs, feature requests, docs issues, training scripts, model-loading problems, and hardware/runtime errors. None of the soft-linked pairs look like the same underlying issue, so all soft edges should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2578", + "right": "issue:5604", + "accept": false, + "reason": "Editable-install packaging problem vs LoRA unfusing feature gap; different code paths and symptoms." + }, + { + "left": "issue:12329", + "right": "issue:13073", + "accept": false, + "reason": "Wrong model version selection on load vs guidance-scale support bug; both pipeline-related but not the same defect." + }, + { + "left": "issue:11229", + "right": "issue:12653", + "accept": false, + "reason": "Both mention MPS, but one is attention slicing NaNs and the other is a rope dtype/reference issue." + }, + { + "left": "issue:11005", + "right": "issue:7418", + "accept": false, + "reason": "Docstring/default mismatch vs a concrete community pipeline bug; not the same change." + }, + { + "left": "issue:1158", + "right": "issue:1500", + "accept": false, + "reason": "Interfering tests vs pipeline compatibility with a newer diffusers release; unrelated." + }, + { + "left": "issue:1574", + "right": "issue:3774", + "accept": false, + "reason": "Different training scripts and different memory/runtime failures; not one underlying bug." + }, + { + "left": "issue:1990", + "right": "issue:2883", + "accept": false, + "reason": "Separate pipeline proposals for different modalities; no shared defect." + }, + { + "left": "issue:4354", + "right": "issue:5835", + "accept": false, + "reason": "Single-file pipeline type bug vs using a pretrained MusicLDM pipeline; unrelated." + }, + { + "left": "issue:4708", + "right": "issue:5110", + "accept": false, + "reason": "Import error vs Hugging Face repo-id validation error; distinct failure modes." + }, + { + "left": "issue:13043", + "right": "issue:13386", + "accept": false, + "reason": "Kernel/backend compatibility on RTX 5090 vs tensor concatenation crash in a training script; not mergeable as one fix." + }, + { + "left": "issue:1082", + "right": "issue:1961", + "accept": false, + "reason": "Dreambooth CUDA matmul failure vs ColossalAI error; too different to be duplicates." + }, + { + "left": "issue:10659", + "right": "issue:10797", + "accept": false, + "reason": "Different pipelines and different runtime issues (output quality vs group offloading failure)." + }, + { + "left": "issue:4210", + "right": "issue:7889", + "accept": false, + "reason": "UNet forward-API question vs single-file checkpoint loader bugs; unrelated." + }, + { + "left": "issue:4353", + "right": "issue:4907", + "accept": false, + "reason": "Both involve SDXL, but one is poor output quality and the other is an inpainting warning; not the same bug." + }, + { + "left": "issue:11486", + "right": "issue:9856", + "accept": false, + "reason": "Training-script attention backend request vs distributed port conflict; unrelated." + }, + { + "left": "issue:1734", + "right": "issue:2444", + "accept": false, + "reason": "Multi-GPU slowdown investigation vs a generic Dreambooth inpaint execution failure; different problems." + }, + { + "left": "issue:7784", + "right": "issue:9106", + "accept": false, + "reason": "Attribute errors, but in different pipelines and on different code paths." + }, + { + "left": "issue:7900", + "right": "issue:8873", + "accept": false, + "reason": "Import/export packaging issue vs xformers performance regression; not the same issue." + }, + { + "left": "issue:6363", + "right": "issue:7686", + "accept": false, + "reason": "FP16 gradient unscale error during training vs model config validation for cross-attention blocks." + }, + { + "left": "issue:1614", + "right": "issue:835", + "accept": false, + "reason": "Black image output with autocast vs flax output conversion failure; different failure modes." + }, + { + "left": "issue:5972", + "right": "issue:9674", + "accept": false, + "reason": "Documentation on Min-SNR weighting vs a poor-quality SD3 controlnet training result; not a duplicate." + }, + { + "left": "issue:1572", + "right": "issue:4782", + "accept": false, + "reason": "Broad pipeline support problem vs a specific inpainting mask-mutation bug; related area but not the same concrete defect." + }, + { + "left": "issue:10039", + "right": "issue:7773", + "accept": false, + "reason": "Missing output sample size in a UNet block vs batch-size-related Stable Video Diffusion bug; different code paths." + }, + { + "left": "issue:10147", + "right": "issue:6407", + "accept": false, + "reason": "Different feature requests for different model families; no shared underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 309, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10191", + "issue:10697", + "issue:10722", + "issue:10861", + "issue:11005", + "issue:11232", + "issue:1925", + "issue:1969", + "issue:1988", + "issue:2363", + "issue:2471", + "issue:2554", + "issue:2603", + "issue:2618", + "issue:347", + "issue:3645", + "issue:3986", + "issue:4141", + "issue:4269", + "issue:4310", + "issue:434", + "issue:4445", + "issue:4648", + "issue:4675", + "issue:4830", + "issue:4876", + "issue:5050", + "issue:5168", + "issue:5300", + "issue:5538", + "issue:5546", + "issue:5763", + "issue:6113", + "issue:6141", + "issue:6383", + "issue:6439", + "issue:6530", + "issue:6866", + "issue:7009", + "issue:7264", + "issue:7440", + "issue:7897", + "issue:8502", + "issue:851", + "issue:8543", + "issue:9062", + "issue:989", + "issue:9926" + ], + "soft_pairs": [ + "issue:3645|issue:4675", + "issue:4648|issue:5538", + "issue:5300|issue:6383", + "issue:10722|issue:11232", + "issue:4141|issue:5763", + "issue:1969|issue:989", + "issue:2471|issue:434", + "issue:2618|issue:4269", + "issue:1988|issue:2603", + "issue:10697|issue:11005", + "issue:10861|issue:9062", + "issue:2363|issue:6113", + "issue:3986|issue:6866", + "issue:4310|issue:6439", + "issue:4445|issue:7264", + "issue:4876|issue:5050", + "issue:5168|issue:6530", + "issue:6141|issue:9926", + "issue:7009|issue:7440", + "issue:8502|issue:8543", + "issue:1925|issue:851", + "issue:4830|issue:5546", + "issue:10191|issue:7897", + "issue:2554|issue:347" + ], + "prepared_review_unit_hash": "372ad0f891da250ccd3829a3bddbff38f92f7c398197c4ebc6148059d757b782", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33943, + "estimated_input_tokens": 8486, + "estimated_eval_tokens": 17228 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: training bugs, docs/help questions, feature requests, and unrelated pipeline issues. None of the soft pairs look like true duplicates or the same underlying change.", + "confidence": 0.94, + "canonical_issue_reason": "No single canonical duplicate exists for the full set; if forced to pick an anchor, issue 10722 is the most concrete reproducible training bug in the group.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10722 is the strongest representative bug report here: a specific runtime failure with a clear training code path, unlike the help/docs/feature-request items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3645", + "right": "issue:4675", + "accept": false, + "reason": "Different topics: ControlNet inpaint training help vs SDXL ControlNet reference-only support." + }, + { + "left": "issue:4648", + "right": "issue:5538", + "accept": false, + "reason": "Unrelated: missing config.json error vs upscale pipeline not using encoder-decoder latent." + }, + { + "left": "issue:5300", + "right": "issue:6383", + "accept": false, + "reason": "Different concerns: unwanted internet access vs scheduler API/learning-rate behavior." + }, + { + "left": "issue:10722", + "right": "issue:11232", + "accept": false, + "reason": "Both are training-related, but one is a tensor size mismatch in DreamBooth prior preservation and the other is a noise residuals issue in text-to-image fine-tuning; not the same bug." + }, + { + "left": "issue:4141", + "right": "issue:5763", + "accept": false, + "reason": "ControlNet inpaint multi-controlnet behavior is unrelated to save_pretrained safetensors serialization." + }, + { + "left": "issue:1969", + "right": "issue:989", + "accept": false, + "reason": "Both are tensor/runtime errors, but they are distinct failure modes ('view' stride issue vs weight dimensionality mismatch)." + }, + { + "left": "issue:2471", + "right": "issue:434", + "accept": false, + "reason": "Different pipelines and symptoms: Attend-and-Excite size handling vs notebook compatibility with a release." + }, + { + "left": "issue:2618", + "right": "issue:4269", + "accept": false, + "reason": "Different code paths: ControlNet image input type handling vs default-arg TypeError in check_inputs." + }, + { + "left": "issue:1988", + "right": "issue:2603", + "accept": false, + "reason": "One is fp16/bf16 bias type mismatch in a trainer example; the other is non-square image generation in Attend-and-Excite." + }, + { + "left": "issue:10697", + "right": "issue:11005", + "accept": false, + "reason": "Instruct-Pix2Pix random transform inconsistency is unrelated to a docstring/default mismatch in wan i2v pipeline." + }, + { + "left": "issue:10861", + "right": "issue:9062", + "accept": false, + "reason": "StableAudio latent scaling output issue is not the same as an import failure for StableAudioPipeline." + }, + { + "left": "issue:2363", + "right": "issue:6113", + "accept": false, + "reason": "Different asks: converting LoRA files vs using sd_control_collection models from HF repo." + }, + { + "left": "issue:3986", + "right": "issue:6866", + "accept": false, + "reason": "Shap-E mesh output support is unrelated to IP-Adapter support for SDXL ControlNet Inpaint." + }, + { + "left": "issue:4310", + "right": "issue:6439", + "accept": false, + "reason": "SDXL scanline artifacts are not a docs link 404 issue." + }, + { + "left": "issue:4445", + "right": "issue:7264", + "accept": false, + "reason": "LoRA finetuning help is unrelated to serialization/loading of custom transformers models." + }, + { + "left": "issue:4876", + "right": "issue:5050", + "accept": false, + "reason": "LoRA std-dev argument request is unrelated to config changes during LoRA training." + }, + { + "left": "issue:5168", + "right": "issue:6530", + "accept": false, + "reason": "ControlNet-XS support and SD XL K-diffusion with ControlNet are different feature requests." + }, + { + "left": "issue:6141", + "right": "issue:9926", + "accept": false, + "reason": "ControlNet control_mode/resize_mode support is unrelated to gguf quantize/speed-up support." + }, + { + "left": "issue:7009", + "right": "issue:7440", + "accept": false, + "reason": "Text-to-video quality issue is unrelated to a dataset availability problem." + }, + { + "left": "issue:8502", + "right": "issue:8543", + "accept": false, + "reason": "SD3 512x512 generation and SD3 dreambooth gradient checkpointing are distinct issues." + }, + { + "left": "issue:1925", + "right": "issue:851", + "accept": false, + "reason": "Different fp16-related bugs: stable-diffusion-2 inpainting half precision vs generic dtype Float expected Half error." + }, + { + "left": "issue:4830", + "right": "issue:5546", + "accept": false, + "reason": "MultiControlNet tensor size mismatch is not the same as scheduler step-count mismatch with Karras sigmas." + }, + { + "left": "issue:10191", + "right": "issue:7897", + "accept": false, + "reason": "GPU selection problem in training is unrelated to multi-GPU training not working generally." + }, + { + "left": "issue:2554", + "right": "issue:347", + "accept": false, + "reason": "Accelerate version requirement issue is unrelated to dependency resolution for huggingface-hub installation." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 310, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10337", + "issue:10412", + "issue:1056", + "issue:10658", + "issue:10673", + "issue:11221", + "issue:12022", + "issue:12574", + "issue:13077", + "issue:13300", + "issue:1677", + "issue:1785", + "issue:1802", + "issue:2763", + "issue:2941", + "issue:3954", + "issue:4030", + "issue:4266", + "issue:4403", + "issue:4534", + "issue:4964", + "issue:5075", + "issue:5281", + "issue:5334", + "issue:557", + "issue:5617", + "issue:5835", + "issue:5924", + "issue:5989", + "issue:6357", + "issue:6689", + "issue:6725", + "issue:7009", + "issue:7431", + "issue:7519", + "issue:7695", + "issue:7841", + "issue:7962", + "issue:8488", + "issue:8826", + "issue:8873", + "issue:8876", + "issue:9108", + "issue:9171", + "issue:9488", + "issue:9516", + "issue:9780" + ], + "soft_pairs": [ + "issue:4403|issue:5617", + "issue:5334|issue:9516", + "issue:5835|issue:9488", + "issue:5989|issue:6689", + "issue:10658|issue:7962", + "issue:10673|issue:8876", + "issue:13300|issue:5924", + "issue:6725|issue:7009", + "issue:7519|issue:8873", + "issue:11221|issue:8826", + "issue:1785|issue:4030", + "issue:10412|issue:7431", + "issue:7695|issue:7841", + "issue:12574|issue:13077", + "issue:1677|issue:3954", + "issue:2763|issue:5617", + "issue:4266|issue:4534", + "issue:8488|issue:9780", + "issue:2941|issue:557", + "issue:4964|issue:6357", + "issue:10337|issue:9108", + "issue:1056|issue:1802", + "issue:5075|issue:5281", + "issue:12022|issue:9171" + ], + "prepared_review_unit_hash": "f878dedd227c36b562f07a0abb8a7315683bfb60442f002d2df11dfea11e5d36", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33764, + "estimated_input_tokens": 8441, + "estimated_eval_tokens": 17138 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster looks like a set of unrelated issues that only share broad Diffusers/subsystem vocabulary. None of the soft-similarity pairs appear to describe the same concrete bug or fix, so they should all remain separate.", + "confidence": 0.93, + "canonical_issue_reason": "No clear canonical issue: the items span different pipelines, training flows, backends, and loading/runtime failures, with no pair showing the same root cause strongly enough to merge.", + "canonical_pr_reason": "No pull requests are present in the cluster.", + "best_issue_reason": "No single issue is a strong representative for duplicate triage; the nearest-looking titles still differ in model, API path, or failure mode.", + "best_pr_reason": "No pull requests are present in the cluster.", + "soft_edge_verdicts": [ + { + "left": "issue:4403", + "right": "issue:5617", + "accept": false, + "reason": "Unrelated failures: LayerNorm half-precision backend error vs ControlNet save/load issue." + }, + { + "left": "issue:5334", + "right": "issue:9516", + "accept": false, + "reason": "Different topics: multi-model accelerate training API vs FLUX joint_attention_kwargs passthrough." + }, + { + "left": "issue:5835", + "right": "issue:9488", + "accept": false, + "reason": "Different pipelines and symptoms: MusicLDM usage vs Lumina generation failure." + }, + { + "left": "issue:5989", + "right": "issue:6689", + "accept": false, + "reason": "One is a safetensors library bug report; the other is model conversion failure. Too broad to merge." + }, + { + "left": "issue:10658", + "right": "issue:7962", + "accept": false, + "reason": "ONNX Runtime provider options request is unrelated to InstructPix2Pix cross_attention_kwargs plumbing." + }, + { + "left": "issue:10673", + "right": "issue:8876", + "accept": false, + "reason": "Both are pipeline-specific issues, but the root causes differ: shape mismatch vs missing microconditioning." + }, + { + "left": "issue:13300", + "right": "issue:5924", + "accept": false, + "reason": "CPU generation failure for SD3.5/FLUX is unrelated to VAE memory spike behavior." + }, + { + "left": "issue:6725", + "right": "issue:7009", + "accept": false, + "reason": "Different models and problems: generic image generation request vs poor TextToVideoSDPipeline output quality." + }, + { + "left": "issue:7519", + "right": "issue:8873", + "accept": false, + "reason": "XFormers cross_attention_kwargs warning is not the same as performance being slower on A100." + }, + { + "left": "issue:11221", + "right": "issue:8826", + "accept": false, + "reason": "Non-convergent autoencoder training and empty torch.cat runtime error are different failure classes." + }, + { + "left": "issue:1785", + "right": "issue:4030", + "accept": false, + "reason": "UnCLIP num_images_per_prompt bug is unrelated to Stable Diffusion v2.1 embedding runtime error." + }, + { + "left": "issue:10412", + "right": "issue:7431", + "accept": false, + "reason": "Both concern training, but one is excessive VRAM usage and the other is DoRA/text-encoder training issues." + }, + { + "left": "issue:7695", + "right": "issue:7841", + "accept": false, + "reason": "Ignored ip_adapter_masks kwargs are unrelated to SDXL red-dot visual artifacts." + }, + { + "left": "issue:12574", + "right": "issue:13077", + "accept": false, + "reason": "WanVideoToVideo control-argument handling and ZImageControlNet shallow-copy weights are different bugs." + }, + { + "left": "issue:1677", + "right": "issue:3954", + "accept": false, + "reason": "Wrong input dtype for StableDiffusionPipeline is unrelated to multi-GPU scheduler step counting." + }, + { + "left": "issue:2763", + "right": "issue:5617", + "accept": false, + "reason": "ControlNet VRAM regression under cudnn.benchmark is not the same as torch.compile save/load failure." + }, + { + "left": "issue:4266", + "right": "issue:4534", + "accept": false, + "reason": "Both are SDXL on Mac/MPS, but the broadcast incompatibility and validation dim mismatch are distinct." + }, + { + "left": "issue:8488", + "right": "issue:9780", + "accept": false, + "reason": "Both involve StableDiffusion3Pipeline loading, but the reported exceptions suggest different concrete root causes." + }, + { + "left": "issue:2941", + "right": "issue:557", + "accept": false, + "reason": "Scheduler output quality complaints are not the same issue; they reference different schedulers and scenarios." + }, + { + "left": "issue:4964", + "right": "issue:6357", + "accept": false, + "reason": "Model conversion to Diffusers is unrelated to API-vs-local output differences." + }, + { + "left": "issue:10337", + "right": "issue:9108", + "accept": false, + "reason": "Quantized FLUX IPAdapter inference failure is not the same as resuming training with a quantized base model." + }, + { + "left": "issue:1056", + "right": "issue:1802", + "accept": false, + "reason": "Same file, but different bugs: MPS support vs allowing encoder_hidden_states=None." + }, + { + "left": "issue:5075", + "right": "issue:5281", + "accept": false, + "reason": "SDXL refiner prompt-embedding matmul mismatch and multi-pipeline offload device mismatch are different code paths." + }, + { + "left": "issue:12022", + "right": "issue:9171", + "accept": false, + "reason": "Flash-attention interface incompatibility is unrelated to from_single_file v_prediction handling." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 311, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10003", + "issue:1064", + "issue:10839", + "issue:1101", + "issue:11047", + "issue:11127", + "issue:11422", + "issue:11489", + "issue:11519", + "issue:1251", + "issue:2262", + "issue:228", + "issue:272", + "issue:2737", + "issue:2780", + "issue:3301", + "issue:3537", + "issue:3658", + "issue:3672", + "issue:3689", + "issue:3728", + "issue:389", + "issue:3954", + "issue:3970", + "issue:4043", + "issue:4080", + "issue:4086", + "issue:4324", + "issue:4325", + "issue:487", + "issue:4912", + "issue:4921", + "issue:5043", + "issue:5143", + "issue:5546", + "issue:5685", + "issue:6161", + "issue:6288", + "issue:6486", + "issue:6529", + "issue:6783", + "issue:7003", + "issue:7440", + "issue:7889", + "issue:7948", + "issue:7955", + "issue:8813" + ], + "soft_pairs": [ + "issue:4086|issue:7003", + "issue:10003|issue:7889", + "issue:1064|issue:1251", + "issue:10839|issue:11127", + "issue:1101|issue:5043", + "issue:11047|issue:7440", + "issue:11422|issue:11489", + "issue:11519|issue:7948", + "issue:2262|issue:3689", + "issue:228|issue:389", + "issue:272|issue:2737", + "issue:2780|issue:6288", + "issue:3301|issue:4324", + "issue:3537|issue:6161", + "issue:3658|issue:5143", + "issue:3658|issue:6486", + "issue:3672|issue:487", + "issue:3728|issue:7955", + "issue:3954|issue:5685", + "issue:3970|issue:4325", + "issue:4043|issue:6783", + "issue:4080|issue:8813", + "issue:4912|issue:6529", + "issue:4921|issue:5546" + ], + "prepared_review_unit_hash": "ad5446c64f2bedc07e6814959712215d451fc93551ee42ecb4f68833bfe054d0", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33208, + "estimated_input_tokens": 8302, + "estimated_eval_tokens": 16860 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is loosely related by diffusion-model issues, but the candidate pairs are mostly different bugs, features, or model-specific requests rather than true duplicates. The most umbrella-like issue is the broad scheduler tracker, but it is still not a duplicate of the others.", + "confidence": 0.88, + "canonical_issue_reason": "issue:5685 is the broadest umbrella item in the set, centered on scheduler problems and able to represent the scheduler-themed subset better than the highly specific reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5685 is the most representative cluster anchor because it is the least specific and closest to a generic triage bucket for several scheduler-adjacent reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4086", + "right": "issue:7003", + "accept": false, + "reason": "Different problems: SDXL ControlNet training failure vs an inpaint pipeline weight-shape mismatch." + }, + { + "left": "issue:10003", + "right": "issue:7889", + "accept": false, + "reason": "Unrelated failures in different components: scheduler stepping bug vs single-file checkpoint loading bug." + }, + { + "left": "issue:1064", + "right": "issue:1251", + "accept": false, + "reason": "Different code paths and symptoms: add_noise error in LMSDiscreteScheduler vs black output on MPS in RePaintPipeline." + }, + { + "left": "issue:10839", + "right": "issue:11127", + "accept": false, + "reason": "Both Flux-related, but one is a training last-step error and the other is a single-file loading/compatibility issue." + }, + { + "left": "issue:1101", + "right": "issue:5043", + "accept": false, + "reason": "Feature requests for entirely different models/pipelines; not the same underlying change." + }, + { + "left": "issue:11047", + "right": "issue:7440", + "accept": false, + "reason": "No substantive overlap: ControlNet inpaint model availability vs dataset availability." + }, + { + "left": "issue:11422", + "right": "issue:11489", + "accept": false, + "reason": "Both training crashes, but they involve different models and scripts, so they do not look like one concrete bug." + }, + { + "left": "issue:11519", + "right": "issue:7948", + "accept": false, + "reason": "Distinct feature requests for different model support, not the same change." + }, + { + "left": "issue:2262", + "right": "issue:3689", + "accept": false, + "reason": "Both LoRA-related usage questions, but loading a safetensors LoRA and unloading weights are separate issues." + }, + { + "left": "issue:228", + "right": "issue:389", + "accept": false, + "reason": "Different failure modes: broken model release link vs broken README code snippet." + }, + { + "left": "issue:272", + "right": "issue:2737", + "accept": false, + "reason": "Different scheduler feature requests affecting different capabilities; too broad to merge as one bug/change." + }, + { + "left": "issue:2780", + "right": "issue:6288", + "accept": false, + "reason": "Training gradient scaling error vs a learning-rate recommendation; not the same bug." + }, + { + "left": "issue:3301", + "right": "issue:4324", + "accept": false, + "reason": "Generic training script failure vs a specific NoneType error in UNet forward; insufficient evidence of one underlying issue." + }, + { + "left": "issue:3537", + "right": "issue:6161", + "accept": false, + "reason": "Unrelated functionality: ControlNet conversion script vs sigma-selection behavior in schedulers." + }, + { + "left": "issue:3658", + "right": "issue:5143", + "accept": false, + "reason": "Both mention subtle UNet/input differences, but one is an explicit added-noise bug in training scripts while the other is a general numerical-difference complaint." + }, + { + "left": "issue:3658", + "right": "issue:6486", + "accept": false, + "reason": "Different training bugs: extra noise latents vs embedding retraction happening twice." + }, + { + "left": "issue:3672", + "right": "issue:487", + "accept": false, + "reason": "Concurrent inference failure and M1 CPU incompatibility are separate platform/runtime issues." + }, + { + "left": "issue:3728", + "right": "issue:7955", + "accept": false, + "reason": "Completely different requests: a new diffusion pipeline vs a portrait identity-preservation model." + }, + { + "left": "issue:3954", + "right": "issue:5685", + "accept": false, + "reason": "Specific multi-GPU step-count bug is not the same concrete issue as the broad 'potential scheduler issues' tracker." + }, + { + "left": "issue:3970", + "right": "issue:4325", + "accept": false, + "reason": "Both SDXL-related, but prompt-embedding failure and black-image casting warnings are different code paths." + }, + { + "left": "issue:4043", + "right": "issue:6783", + "accept": false, + "reason": "SDXL prompt-embedding argument requirements vs PixArt generation corruption; unrelated model families and bugs." + }, + { + "left": "issue:4080", + "right": "issue:8813", + "accept": false, + "reason": "Different feature requests for different pipelines/models; not mergeable as one PR-equivalent change." + }, + { + "left": "issue:4912", + "right": "issue:6529", + "accept": false, + "reason": "Checkpoint conversion support and Fooocus inpaint support are distinct requests." + }, + { + "left": "issue:4921", + "right": "issue:5546", + "accept": false, + "reason": "Both involve refiner behavior, but one is detail erasure and the other is scheduler step counting; not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 312, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11286", + "issue:1185", + "issue:11865", + "issue:1249", + "issue:125", + "issue:1251", + "issue:12896", + "issue:13105", + "issue:13107", + "issue:1462", + "issue:1463", + "issue:1519", + "issue:1556", + "issue:1655", + "issue:1851", + "issue:2548", + "issue:3040", + "issue:3494", + "issue:3886", + "issue:3910", + "issue:4460", + "issue:4733", + "issue:490", + "issue:5014", + "issue:5064", + "issue:5245", + "issue:5458", + "issue:5538", + "issue:5573", + "issue:562", + "issue:5960", + "issue:6418", + "issue:6901", + "issue:6955", + "issue:760", + "issue:7682", + "issue:7922", + "issue:8560", + "issue:8594", + "issue:8915", + "issue:9032", + "issue:9038", + "issue:9171", + "issue:9359", + "issue:9768", + "issue:9844", + "issue:9846", + "issue:9933" + ], + "soft_pairs": [ + "issue:5014|issue:8560", + "issue:5245|issue:8915", + "issue:5538|issue:6418", + "issue:6901|issue:9933", + "issue:6955|issue:7922", + "issue:9032|issue:9038", + "issue:9359|issue:9844", + "issue:5573|issue:5960", + "issue:1249|issue:3040", + "issue:1519|issue:760", + "issue:1463|issue:4733", + "issue:1655|issue:490", + "issue:5064|issue:7682", + "issue:1185|issue:1851", + "issue:11865|issue:9846", + "issue:1251|issue:1556", + "issue:3494|issue:4460", + "issue:11286|issue:13107", + "issue:1462|issue:562", + "issue:9171|issue:9768", + "issue:3886|issue:8594", + "issue:125|issue:2548", + "issue:12896|issue:13105", + "issue:3910|issue:5458" + ], + "prepared_review_unit_hash": "f71feb4763a46d847195e3b38b17476dfa2454c0a4639e80f85ac79a82cdc0f5", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34172, + "estimated_input_tokens": 8543, + "estimated_eval_tokens": 17342 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a false positive: the issues cover many unrelated problems (LoRA loading, MPS/CUDA behavior, scheduler/runtime errors, import/setup problems, OOM, and documentation questions) rather than one shared bug or change.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue is a good canonical representative; the cluster is too heterogeneous and the apparent similarities are mostly superficial.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue cleanly represents the cluster overall. The broadest title is issue:11286, but it still does not match the unrelated mix of bugs here.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5014", + "right": "issue:8560", + "accept": false, + "reason": "Both mention training, but one is about poor DreamBooth LoRA results and the other is SD3 training OOM; different failures and code paths." + }, + { + "left": "issue:5245", + "right": "issue:8915", + "accept": false, + "reason": "Different problems: a pipenv import-stage freeze versus a missing diffusers import symbol." + }, + { + "left": "issue:5538", + "right": "issue:6418", + "accept": false, + "reason": "One is about an upscale pipeline latent path, the other about identical video frames in video diffusion; unrelated." + }, + { + "left": "issue:6901", + "right": "issue:9933", + "accept": false, + "reason": "Missing scheduler method implementation vs missing width/height parameters; different API gaps." + }, + { + "left": "issue:6955", + "right": "issue:7922", + "accept": false, + "reason": "Both are import/attribute errors, but they concern different classes and unrelated missing symbols." + }, + { + "left": "issue:9032", + "right": "issue:9038", + "accept": false, + "reason": "A Colab TPU setup question is unrelated to prompt-weight usage." + }, + { + "left": "issue:9359", + "right": "issue:9844", + "accept": false, + "reason": "Both are SDXL numeric failures, but one is a scheduler step error and the other is VAE encoder NaNs." + }, + { + "left": "issue:5573", + "right": "issue:5960", + "accept": false, + "reason": "ControlNet init slowdown is unrelated to NaNs during image-to-uint8 casting." + }, + { + "left": "issue:1249", + "right": "issue:3040", + "accept": false, + "reason": "Different runtime errors in different areas: ONNX device handling vs a copy-paste type error." + }, + { + "left": "issue:1519", + "right": "issue:760", + "accept": false, + "reason": "Both involve MPS image quality, but the symptoms and likely causes are not specific enough to treat as the same bug." + }, + { + "left": "issue:1463", + "right": "issue:4733", + "accept": false, + "reason": "Missing datasets dependency versus checkpoint resume/optimizer inf-check failure; unrelated." + }, + { + "left": "issue:1655", + "right": "issue:490", + "accept": false, + "reason": "Pipeline initialization failure and memory issues are different bug classes." + }, + { + "left": "issue:5064", + "right": "issue:7682", + "accept": false, + "reason": "Out-of-space during refiner inference is not the same as multi-GPU performance issues." + }, + { + "left": "issue:1185", + "right": "issue:1851", + "accept": false, + "reason": "Both are DreamBooth-related, but reproducibility and multi-GPU slowness are different issues." + }, + { + "left": "issue:11865", + "right": "issue:9846", + "accept": false, + "reason": "Both mention missing from_single_file, but they are different model classes and likely different feature gaps." + }, + { + "left": "issue:1251", + "right": "issue:1556", + "accept": false, + "reason": "Black output on MPS in RePaint is not the same as black images with an NSFW warning on CUDA." + }, + { + "left": "issue:3494", + "right": "issue:4460", + "accept": false, + "reason": "Corrupted images with certain schedulers is different from general output differences between stable diffusion and diffusers." + }, + { + "left": "issue:11286", + "right": "issue:13107", + "accept": false, + "reason": "Both are LoRA loading complaints, but they target different models and error types." + }, + { + "left": "issue:1462", + "right": "issue:562", + "accept": false, + "reason": "An unassigned-variable bug with multiple masks is unrelated to LMS scheduler incompatibility." + }, + { + "left": "issue:9171", + "right": "issue:9768", + "accept": false, + "reason": "A from_single_file regression is unrelated to a torch/CuDNN SDPA NaN error." + }, + { + "left": "issue:3886", + "right": "issue:8594", + "accept": false, + "reason": "DDP watchdog timeout and an UnboundLocalError in training are different issues." + }, + { + "left": "issue:125", + "right": "issue:2548", + "accept": false, + "reason": "Accelerate launch argument error and LoRA saving failure are unrelated." + }, + { + "left": "issue:12896", + "right": "issue:13105", + "accept": false, + "reason": "Both are WAN-related, but one is an MPS-vs-CUDA execution problem and the other is output noise in a different script/model." + }, + { + "left": "issue:3910", + "right": "issue:5458", + "accept": false, + "reason": "Generic LoRA load failure and local_files_only being ignored are different bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 313, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1013", + "issue:10198", + "issue:10591", + "issue:10675", + "issue:10743", + "issue:1083", + "issue:10962", + "issue:11644", + "issue:11661", + "issue:12126", + "issue:13232", + "issue:13301", + "issue:13477", + "issue:1574", + "issue:1708", + "issue:2015", + "issue:2035", + "issue:2439", + "issue:3026", + "issue:3418", + "issue:3803", + "issue:3887", + "issue:4014", + "issue:4337", + "issue:4366", + "issue:4504", + "issue:5124", + "issue:5246", + "issue:5458", + "issue:6087", + "issue:6238", + "issue:6366", + "issue:6533", + "issue:6727", + "issue:7009", + "issue:7460", + "issue:7798", + "issue:7936", + "issue:7968", + "issue:8503", + "issue:8723", + "issue:8832", + "issue:8960", + "issue:945", + "issue:9488", + "issue:9670", + "issue:9686" + ], + "soft_pairs": [ + "issue:2439|issue:6238", + "issue:4504|issue:7936", + "issue:8723|issue:8960", + 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The soft-edge pairs mostly share only broad subsystem terms (for example, SD/Flux/LoRA/loading), but not the same concrete bug or fix path, so they should remain separate.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2439", + "right": "issue:6238", + "accept": false, + "reason": "Both concern image pipelines, but one is inpainting loading/running and the other is SDXL VAE behavior; different failure modes and code paths." + }, + { + "left": "issue:4504", + "right": "issue:7936", + "accept": false, + "reason": "Both mention local safetensor loading, but one is a loader state_dict bug and the other is invalid JSON parsing; not the same underlying defect." + }, + { + "left": "issue:8723", + "right": "issue:8960", + "accept": false, + "reason": "SD3 ControlNet init failure and training gradient accumulation malfunction are unrelated bugs in different parts of the stack." + }, + { + "left": "issue:1013", + "right": "issue:3887", + "accept": false, + "reason": "Both are Stable Diffusion pipeline complaints, but one is a version-compatibility break and the other is output quality drift; not one fix." + }, + { + "left": "issue:10198", + "right": "issue:10675", + "accept": false, + "reason": "Flux weight mismatch and Flux scheduler max_shift configuration are different issues with different root causes." + }, + { + "left": "issue:10591", + "right": "issue:9686", + "accept": false, + "reason": "Both are SD3-related, but one is a LoRA training script issue and the other is a ControlNet pooled_projections bug." + }, + { + "left": "issue:10962", + "right": "issue:8832", + "accept": false, + "reason": "Prompt-embed shape handling and a generic pipe(prompt) crash do not appear to be the same concrete bug." + }, + { + "left": "issue:13232", + "right": "issue:13301", + "accept": false, + "reason": "These are separate feature requests for different pipelines (LTX-2.3 vs PixArtAlpha)." + }, + { + "left": "issue:2015", + "right": "issue:6533", + "accept": false, + "reason": "Categorical diffusion pipeline and Marigold depth estimation are unrelated pipeline requests." + }, + { + "left": "issue:3026", + "right": "issue:3803", + "accept": false, + "reason": "Single-GPU instruct-pix2pix launch error and multi-GPU LoRA synchronization are different training issues." + }, + { + "left": "issue:3418", + "right": "issue:4366", + "accept": false, + "reason": "One asks to add text-encoder support in a LoRA script; the other is SDXL full U-Net fine-tuning. Same area, different change." + }, + { + "left": "issue:4337", + "right": "issue:6727", + "accept": false, + "reason": "torch.compile failure in ControlNetReference and Q/K/V dtype mismatch are distinct runtime errors." + }, + { + "left": "issue:5458", + "right": "issue:9670", + "accept": false, + "reason": "local_files_only behavior in LoRA loading and a missing PEFT backend requirement are not the same bug." + }, + { + "left": "issue:1083", + "right": "issue:945", + "accept": false, + "reason": "FP16 ONNX incorrect output and custom checkpoint-to-ONNX conversion support are different conversion problems." + }, + { + "left": "issue:11644", + "right": "issue:8503", + "accept": false, + "reason": "LTXConditionPipeline init-from-pretrained error and SD3 gradient checkpointing crash are unrelated failures." + }, + { + "left": "issue:2035", + "right": "issue:4014", + "accept": false, + "reason": "Tiled upscaling artifacts and SDXL watermark pixel artifacts affect different pipelines and different mechanisms." + }, + { + "left": "issue:12126", + "right": "issue:13477", + "accept": false, + "reason": "wan2.2 cache_context attribute error and ErnieImage locals() scope bug are separate code-path bugs." + }, + { + "left": "issue:5124", + "right": "issue:945", + "accept": false, + "reason": "Fine-tuning a checkpoint .safetensor and adding a custom checkpoint model for ONNX conversion are different requests." + }, + { + "left": "issue:1574", + "right": "issue:1708", + "accept": false, + "reason": "Dreambooth training on bare metal with 8GB GPU and passing a YAML config for inference are unrelated." + }, + { + "left": "issue:7009", + "right": "issue:9488", + "accept": false, + "reason": "Poor text-to-video results for a specific model and Lumina generating no image are different inference-quality issues." + }, + { + "left": "issue:10743", + "right": "issue:11661", + "accept": false, + "reason": "Zero-3 support for FLUX training and handling args.max_train_steps when None are unrelated training-script concerns." + }, + { + "left": "issue:5246", + "right": "issue:7968", + "accept": false, + "reason": "Missing CLIPImageProjection attribute and attention in UNetMotionModel are different model/component bugs." + }, + { + "left": "issue:6087", + "right": "issue:6366", + "accept": false, + "reason": "Incorrectly saved LoRAConfig/lora_alpha and broken checkpoint loading in dreambooth LoRA scripts are not the same defect." + }, + { + "left": "issue:7460", + "right": "issue:7798", + "accept": false, + "reason": "AdaLayerNorm bug and PixArtAlphaPipeline bug are too vague and appear to be separate component issues without shared evidence." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 314, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10039", + "issue:10145", + "issue:10573", + "issue:10994", + "issue:11343", + "issue:11374", + "issue:11396", + "issue:11464", + "issue:11821", + "issue:12096", + "issue:12221", + "issue:13301", + "issue:1466", + "issue:2402", + "issue:2552", + "issue:2663", + "issue:2844", + "issue:3124", + "issue:3162", + "issue:3238", + "issue:3300", + "issue:3803", + "issue:4107", + "issue:4206", + "issue:4303", + "issue:4453", + "issue:4615", + "issue:4677", + "issue:5327", + "issue:5544", + "issue:5934", + "issue:6323", + "issue:6481", + "issue:6821", + "issue:7341", + "issue:7368", + "issue:7418", + "issue:7736", + "issue:8472", + "issue:8509", + "issue:8588", + "issue:8609", + "issue:9147", + "issue:9306", + "issue:9476", + "issue:9551", + "issue:9645", + "issue:9660" + ], + "soft_pairs": [ + "issue:3300|issue:4615", + 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"left": "issue:3300", + "right": "issue:4615", + "accept": false, + "reason": "Generic broken-install/import complaint versus a specific missing import for ControlNetPipeline; too different in scope and failure mode." + }, + { + "left": "issue:5544", + "right": "issue:9147", + "accept": false, + "reason": "FreeU disable error in SDXL is unrelated to Flux autopipeline device selection." + }, + { + "left": "issue:5327", + "right": "issue:5544", + "accept": false, + "reason": "Textual inversion loading in SDXL and FreeU toggling are different code paths and bugs." + }, + { + "left": "issue:5934", + "right": "issue:9306", + "accept": false, + "reason": "torch.compile failure and CogVideoX wrong-device selection are distinct problems." + }, + { + "left": "issue:10039", + "right": "issue:8588", + "accept": false, + "reason": "UNet argument forwarding bug versus missing SD3 conversion script; not the same underlying issue." + }, + { + "left": "issue:10145", + "right": "issue:11396", + "accept": false, + "reason": "Flux DreamBooth OOM and LoRA format conversion question are unrelated." + }, + { + "left": "issue:12221", + "right": "issue:13301", + "accept": false, + "reason": "Different feature requests for different pipelines/models; no shared bug." + }, + { + "left": "issue:1466", + "right": "issue:2402", + "accept": false, + "reason": "Platform compatibility for DreamBooth examples is unrelated to CUDA-not-built runtime errors." + }, + { + "left": "issue:2844", + "right": "issue:4677", + "accept": false, + "reason": "StableUnCLIP image-embedding runtime error versus an inpainting doc script error; not the same defect." + }, + { + "left": "issue:4107", + "right": "issue:6481", + "accept": false, + "reason": "SDXL LoRA quality regression and DreamBooth batch-size failure are different issues." + }, + { + "left": "issue:4453", + "right": "issue:7368", + "accept": false, + "reason": "LoRA conversion for A1111 versus a GLIGEN training feature request; not duplicates." + }, + { + "left": "issue:6323", + "right": "issue:8609", + "accept": false, + "reason": "TensorRT attribute-setting bug and custom IP-Adapter pipeline incompatibility are unrelated." + }, + { + "left": "issue:8509", + "right": "issue:9551", + "accept": false, + "reason": "Feature request for controlnet++ and question about using specific Flux ControlNet models are not the same change or bug." + }, + { + "left": "issue:2552", + "right": "issue:3803", + "accept": false, + "reason": "Tutorial question for inpainting versus multi-GPU LoRA sharing bug; different topics and code paths." + }, + { + "left": "issue:3124", + "right": "issue:3238", + "accept": false, + "reason": "General model conversion failure versus LoRA safetensor conversion to diffusers format; not the same problem." + }, + { + "left": "issue:4206", + "right": "issue:7418", + "accept": false, + "reason": "ControlNet SDXL training breakage and a community upscale pipeline bug are separate." + }, + { + "left": "issue:10994", + "right": "issue:9476", + "accept": false, + "reason": "Both involve train_dreambooth_lora_flux, but one is a batch-size crash and the other is a validation dtype mismatch; different concrete failure modes." + }, + { + "left": "issue:11821", + "right": "issue:12096", + "accept": false, + "reason": "Unsupported prompt lists in WanVACEPipeline versus apply_group_offloading incompatibility are unrelated." + }, + { + "left": "issue:10573", + "right": "issue:11464", + "accept": false, + "reason": "Multiple-controlnet padding_mask_crop limitation and loading a specific Flux LoRA into FluxControlPipeline are different bugs." + }, + { + "left": "issue:11343", + "right": "issue:9645", + "accept": false, + "reason": "Both are import-related, but one is a broad transformers-version breakage and the other is a specific loader import missing; not the same exact issue." + }, + { + "left": "issue:11374", + "right": "issue:7736", + "accept": false, + "reason": "SkyReels-V2 support request and supported callbacks feature request are separate enhancement tracks." + }, + { + "left": "issue:3162", + "right": "issue:7341", + "accept": false, + "reason": "Missing learned classifier-free sampling embeddings and TorchVersion/Version comparison TypeError are unrelated." + }, + { + "left": "issue:6481", + "right": "issue:6821", + "accept": false, + "reason": "DreamBooth batch-size bug and caption-column validation error do not share the same root cause." + }, + { + "left": "issue:8472", + "right": "issue:9660", + "accept": false, + "reason": "Question about simultaneous LoRA pretraining with other modules is unrelated to from_pretrained not setting eval mode." + }, + { + "left": "issue:2663", + "right": "issue:4303", + "accept": false, + "reason": "Safety checker safetensors loading failure and Flax SDXL load crash are different model-loading issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 315, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10191", + "issue:10427", + "issue:10472", + "issue:11547", + "issue:1156", + "issue:11938", + "issue:12459", + "issue:13277", + "issue:1375", + "issue:1572", + "issue:1655", + "issue:1672", + "issue:1730", + "issue:2100", + "issue:2414", + "issue:2780", + "issue:3086", + "issue:3140", + "issue:3149", + "issue:3441", + "issue:3674", + "issue:4213", + "issue:4701", + "issue:4841", + "issue:5380", + "issue:5616", + "issue:5963", + "issue:5969", + "issue:6160", + "issue:6323", + "issue:6363", + "issue:6452", + "issue:6552", + "issue:6610", + "issue:684", + "issue:7300", + "issue:7390", + "issue:7440", + "issue:785", + "issue:8673", + "issue:9007", + "issue:9186", + "issue:9239", + "issue:9479", + "issue:9619", + "issue:9637", + "issue:9729", + "issue:9971" + ], + "soft_pairs": [ + "issue:12459|issue:13277", + "issue:3149|issue:785", + "issue:1156|issue:1730", + "issue:6610|issue:7390", + "issue:10472|issue:9729", + "issue:3441|issue:7300", + "issue:6363|issue:6552", + "issue:4213|issue:5616", + "issue:4701|issue:6160", + "issue:10191|issue:6323", + "issue:10427|issue:9619", + "issue:11547|issue:9186", + "issue:11938|issue:9971", + "issue:1375|issue:2100", + "issue:1572|issue:5380", + "issue:1655|issue:684", + "issue:1672|issue:5969", + "issue:2414|issue:3140", + "issue:2780|issue:3674", + "issue:3086|issue:6452", + "issue:4841|issue:9239", + "issue:5963|issue:9007", + "issue:7440|issue:8673", + "issue:9479|issue:9637" + ], + "prepared_review_unit_hash": "765b11feb9ab835de6b7bd16ca6610473b21ef1760a80256ee61a94f268d9711", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34014, + "estimated_input_tokens": 8504, + "estimated_eval_tokens": 17264 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a collection of unrelated issue reports across different pipelines, schedulers, and error modes. The only strong duplicate-like link is the FP16 LoRA training failure tracker pair (6363/6552).", + "confidence": 0.84, + "canonical_issue_reason": "Issue 6552 is the best canonical issue because it is the broader tracker for the specific FP16 unscale failure reported concretely in 6363.", + "canonical_pr_reason": null, + "best_issue_reason": "6552 is the most representative issue in the set: it generalizes the FP16 training-resume bug, while the rest are mostly unrelated single reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12459", + "right": "issue:13277", + "accept": false, + "reason": "Different problems: throughput regression vs a batch-input failure." + }, + { + "left": "issue:3149", + "right": "issue:785", + "accept": false, + "reason": "Different scheduler/performance bug vs nondeterminism regression." + }, + { + "left": "issue:1156", + "right": "issue:1730", + "accept": false, + "reason": "Different training issue vs model conversion/webui incompatibility." + }, + { + "left": "issue:6610", + "right": "issue:7390", + "accept": false, + "reason": "Both are from_single_file complaints, but they describe different pipelines and failure modes." + }, + { + "left": "issue:10472", + "right": "issue:9729", + "accept": false, + "reason": "Unrelated training inference kwarg error vs save-model type error." + }, + { + "left": "issue:3441", + "right": "issue:7300", + "accept": false, + "reason": "Both mention memory, but the code paths and symptoms are different." + }, + { + "left": "issue:6363", + "right": "issue:6552", + "accept": true, + "reason": "Same underlying FP16 training bug; 6552 is the tracker and 6363 is the concrete example failure." + }, + { + "left": "issue:4213", + "right": "issue:5616", + "accept": false, + "reason": "Both involve SDXL loading, but the reported errors and likely causes differ." + }, + { + "left": "issue:4701", + "right": "issue:6160", + "accept": false, + "reason": "Different components and different errors; no shared root bug." + }, + { + "left": "issue:10191", + "right": "issue:6323", + "accept": false, + "reason": "GPU selection bug is unrelated to a TensorRT attribute error." + }, + { + "left": "issue:10427", + "right": "issue:9619", + "accept": false, + "reason": "GGUF loading request vs ControlNet interrupt support are unrelated changes." + }, + { + "left": "issue:11547", + "right": "issue:9186", + "accept": false, + "reason": "Both are ControlNet-related, but they are distinct feature requests and not the same bug." + }, + { + "left": "issue:11938", + "right": "issue:9971", + "accept": false, + "reason": "RMSNorm initialization bug and FLUX scheduler bug are unrelated." + }, + { + "left": "issue:1375", + "right": "issue:2100", + "accept": false, + "reason": "Both are import problems, but the affected imports and regression details are not the same." + }, + { + "left": "issue:1572", + "right": "issue:5380", + "accept": false, + "reason": "Different pipelines and different functionality; no shared bug." + }, + { + "left": "issue:1655", + "right": "issue:684", + "accept": false, + "reason": "Initialization failure and AMD memory optimization issues are unrelated." + }, + { + "left": "issue:1672", + "right": "issue:5969", + "accept": false, + "reason": "Image-size conversion bug vs scheduler NaNs; different underlying problems." + }, + { + "left": "issue:2414", + "right": "issue:3140", + "accept": false, + "reason": "Separate import errors involving different missing names/modules." + }, + { + "left": "issue:2780", + "right": "issue:3674", + "accept": false, + "reason": "LoRA FP16 gradient issue and JSONL metadata parsing issue are unrelated." + }, + { + "left": "issue:3086", + "right": "issue:6452", + "accept": false, + "reason": "Different feature areas: audio-to-image vs ControlNet inpaint input support." + }, + { + "left": "issue:4841", + "right": "issue:9239", + "accept": false, + "reason": "Both are ControlNet-related, but one is an image-size issue and the other is black output." + }, + { + "left": "issue:5963", + "right": "issue:9007", + "accept": false, + "reason": "Kandinsky embed-input failure is unrelated to the DPMSolver black-output bug." + }, + { + "left": "issue:7440", + "right": "issue:8673", + "accept": false, + "reason": "Unrelated dataset availability vs attention-mask implementation issue." + }, + { + "left": "issue:9479", + "right": "issue:9637", + "accept": false, + "reason": "Inpaint mask bleeding and XFormers attention-mask BF16 failure are different bugs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and stays conservative. The only clearly supported duplicate-like linkage is 6363 \u2194 6552, and the remaining soft-edge verdicts are phrased cautiously based on title-level evidence without overstating shared root causes." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 316, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:10120", + "issue:10752", + "issue:10798", + "issue:11302", + "issue:11315", + "issue:12011", + "issue:12034", + "issue:12110", + "issue:1251", + "issue:12529", + "issue:13107", + "issue:1407", + "issue:1546", + "issue:1556", + "issue:1792", + "issue:2299", + "issue:235", + "issue:2907", + "issue:3338", + "issue:3428", + "issue:3853", + "issue:3908", + "issue:3954", + "issue:4630", + "issue:4911", + "issue:4972", + "issue:525", + "issue:5365", + "issue:5520", + "issue:6028", + "issue:6087", + "issue:6132", + "issue:6362", + "issue:6593", + "issue:6964", + "issue:7080", + "issue:7180", + "issue:7220", + "issue:725", + "issue:7485", + "issue:8182", + "issue:8495", + "issue:8752", + "issue:8930", + "issue:9147", + "issue:9448", + "issue:9732" + ], + "soft_pairs": [ + "issue:4972|issue:7180", + "issue:11302|issue:11315", + "issue:6964|issue:7220", + "issue:6593|issue:8752", + "issue:12011|issue:9732", + "issue:5365|issue:6028", + "issue:8182|issue:8495", + "issue:10120|issue:6362", + "issue:1407|issue:1792", + "issue:2299|issue:3338", + "issue:12034|issue:12529", + "issue:1251|issue:2907", + "issue:10798|issue:13107", + "issue:7485|issue:9448", + "issue:10752|issue:12110", + "issue:3428|issue:3908", + "issue:10100|issue:6132", + "issue:1546|issue:1556", + "issue:235|issue:525", + "issue:3853|issue:5520", + "issue:4630|issue:725", + "issue:4911|issue:9147", + "issue:7080|issue:8930", + "issue:3954|issue:6087" + ], + "prepared_review_unit_hash": "53020b37f6b6493bdb81fb35a559ac44c38538e723f79a12e151fba1aa4ba576", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33860, + "estimated_input_tokens": 8465, + "estimated_eval_tokens": 17186 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most suggested pairs are only superficially related and do not look like the same underlying bug/change. The only clear duplicate-like pair is the HeaderTooLarge loading error pair; everything else should stay separate.", + "confidence": 0.84, + "canonical_issue_reason": "issue:5520 is the broadest, most general label for the shared safetensors deserialization failure and best represents the duplicate pair.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5520 is the best global issue candidate because its title matches the underlying error directly and covers the broader symptom more cleanly than the LoRA-specific report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4972", + "right": "issue:7180", + "accept": false, + "reason": "Different pipelines and failure modes: wuerstchen example startup vs SDXL ControlNet CPU-offload behavior." + }, + { + "left": "issue:11302", + "right": "issue:11315", + "accept": false, + "reason": "One is about saving a quantized HiDream model; the other is an MPS float64 rope initialization bug." + }, + { + "left": "issue:6964", + "right": "issue:7220", + "accept": false, + "reason": "Same pipeline family, but different concrete bugs: 4-channel UNet support vs unload_ip_adapter error." + }, + { + "left": "issue:6593", + "right": "issue:8752", + "accept": false, + "reason": "Different code paths: adding load_lora_weights to SDXL Img2Img vs offline from_single_file loading." + }, + { + "left": "issue:12011", + "right": "issue:9732", + "accept": false, + "reason": "Both mention OOM, but they concern different models and training/inference setups." + }, + { + "left": "issue:5365", + "right": "issue:6028", + "accept": false, + "reason": "Txt2video num_inference_steps handling is unrelated to Kandinsky 3.0 CUDA OOM." + }, + { + "left": "issue:8182", + "right": "issue:8495", + "accept": false, + "reason": "A logger typo error is unrelated to a tokenizer enum deserialization failure." + }, + { + "left": "issue:10120", + "right": "issue:6362", + "accept": false, + "reason": "Both are memory-related, but one is DreamBooth+SD3 memory consumption and the other is dataset-mapping OOM during SDXL fine-tuning." + }, + { + "left": "issue:1407", + "right": "issue:1792", + "accept": false, + "reason": "Both involve feature_extractor/safety_checker handling, but the titles point to different pipeline contexts and not clearly the same bug." + }, + { + "left": "issue:2299", + "right": "issue:3338", + "accept": false, + "reason": "Fine-tuned checkpoint support and import-time slowdown are separate issues." + }, + { + "left": "issue:12034", + "right": "issue:12529", + "accept": false, + "reason": "Different Wan 2.2 problems: poor output quality vs a tiled VAE tensor size mismatch." + }, + { + "left": "issue:1251", + "right": "issue:2907", + "accept": false, + "reason": "MPS black-image behavior and repeated CPU-offload failure are different device-management bugs." + }, + { + "left": "issue:10798", + "right": "issue:13107", + "accept": false, + "reason": "Bitsandbytes device-combination quantization bug and Flux Klein LoRA missing-key errors are unrelated." + }, + { + "left": "issue:7485", + "right": "issue:9448", + "accept": false, + "reason": "Setting safety_checker to None causing a TypeError is not the same as the IP-Adapter tuple.shape crash." + }, + { + "left": "issue:10752", + "right": "issue:12110", + "accept": false, + "reason": "FP16 gradient unscaling and UNet1D GaussianFourier initialization are different code paths." + }, + { + "left": "issue:3428", + "right": "issue:3908", + "accept": false, + "reason": "StableDiffusionImg2ImgPipeline behavior changes and Streamlit model caching are unrelated." + }, + { + "left": "issue:10100", + "right": "issue:6132", + "accept": false, + "reason": "ConsisID support and adding LOADABLE_CLASSES are different feature requests." + }, + { + "left": "issue:1546", + "right": "issue:1556", + "accept": false, + "reason": "Batched truncation-warning handling and black images with NSFW warning are distinct issues." + }, + { + "left": "issue:235", + "right": "issue:525", + "accept": false, + "reason": "CUDA migration trouble and local-disk image loading in a notebook are unrelated." + }, + { + "left": "issue:3853", + "right": "issue:5520", + "accept": true, + "reason": "Both describe the same HeaderTooLarge safetensors deserialization failure, with one specific to LoRA weights." + }, + { + "left": "issue:4630", + "right": "issue:725", + "accept": false, + "reason": "Post-load LoRA weight editing and device-map/accelerate loading memory reduction are not the same bug." + }, + { + "left": "issue:4911", + "right": "issue:9147", + "accept": false, + "reason": "Custom text_encoder loading from_single_file and Flux autopipeline errors are different failures." + }, + { + "left": "issue:7080", + "right": "issue:8930", + "accept": false, + "reason": "SDXL control-net training output mismatch in wandb and pose-control noncompliance are separate issues." + }, + { + "left": "issue:3954", + "right": "issue:6087", + "accept": false, + "reason": "Multi-GPU scheduler step counting and LoraConfig/lora_alpha persistence are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded in the packet. The only accepted pair, issue:3853 and issue:5520, is a conservative duplicate assessment: both center on the same HeaderTooLarge safetensors deserialization failure, with 3853 being the LoRA-specific instance. The remaining pairs are reasonably rejected based on distinct titles/contexts, and no mergeability issues apply since these are issue pairs, not PR pairs." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 317, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10526", + "issue:1062", + "issue:1068", + "issue:1082", + "issue:11117", + "issue:11570", + "issue:1866", + "issue:1925", + "issue:2035", + "issue:2132", + "issue:2332", + "issue:2410", + "issue:2577", + "issue:2728", + "issue:2803", + "issue:3103", + "issue:3451", + "issue:3646", + "issue:4069", + "issue:4530", + "issue:4638", + "issue:4686", + "issue:4733", + "issue:4747", + "issue:4885", + "issue:4907", + "issue:5226", + "issue:5315", + "issue:5335", + "issue:5572", + "issue:5963", + "issue:6232", + "issue:6234", + "issue:6536", + "issue:6657", + "issue:6790", + "issue:6807", + "issue:6906", + "issue:7415", + "issue:7506", + "issue:7694", + "issue:7708", + "issue:8708", + "issue:8831", + "issue:9063", + "issue:9293", + "issue:967", + "issue:9953" + ], + "soft_pairs": [ + "issue:4686|issue:5335", + "issue:4885|issue:8831", + "issue:10526|issue:9293", + "issue:1925|issue:2577", + "issue:7708|issue:9063", + "issue:6232|issue:7506", + "issue:1068|issue:1082", + "issue:3646|issue:4747", + "issue:2035|issue:4530", + "issue:2410|issue:5572", + "issue:3103|issue:4907", + "issue:4069|issue:7694", + "issue:5963|issue:6807", + "issue:6234|issue:8708", + "issue:6536|issue:6657", + "issue:1866|issue:967", + "issue:4638|issue:5226", + "issue:1062|issue:2332", + "issue:2132|issue:4733", + "issue:5315|issue:6232", + "issue:6790|issue:6906", + "issue:11117|issue:7415", + "issue:2410|issue:3451", + "issue:11570|issue:9953", + "issue:2728|issue:2803" + ], + "prepared_review_unit_hash": "55234d90110271caf2b5113ad8926f1fe8b2c2233a5d3d50e77b4edabd79067f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34462, + "estimated_input_tokens": 8616, + "estimated_eval_tokens": 17488 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No strong duplicate pairs here: the candidates mostly share broad subsystems or overlapping error themes, but they describe different concrete failures. I would use issue #9953 as the best canonical issue for the quantized-component/device-transfer class of bugs.", + "confidence": 0.92, + "canonical_issue_reason": "#9953 is the clearest, most generally phrased issue in the set for a concrete quantized-component failure path (moving a pipeline with a quantized component to CUDA).", + "canonical_pr_reason": null, + "best_issue_reason": "#9953 is the best representative issue to anchor related quantization/device-placement reports because it names the symptom and affected operation directly.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4686", + "right": "issue:5335", + "accept": false, + "reason": "Different problems: loading a saved pipeline from disk vs local deployment/access restrictions." + }, + { + "left": "issue:4885", + "right": "issue:8831", + "accept": false, + "reason": "One is a specific SDXL ControlNet LoRA-loading failure; the other is a broader LoRA unsupported-layers discussion, not the same bug." + }, + { + "left": "issue:10526", + "right": "issue:9293", + "accept": false, + "reason": "Both are quantization/storage-related TypeErrors, but they involve different failing code paths, libraries, and error signatures." + }, + { + "left": "issue:1925", + "right": "issue:2577", + "accept": false, + "reason": "Half-precision inpainting and DDIMInverseScheduler behavior are unrelated concrete issues." + }, + { + "left": "issue:7708", + "right": "issue:9063", + "accept": false, + "reason": "Missing tokenizer config in SDXL checkpoint vs Flux tokenizer instantiation from slow version are distinct load-time failures." + }, + { + "left": "issue:6232", + "right": "issue:7506", + "accept": false, + "reason": "Scheduler add_noise malfunction is unrelated to the meta-tensor / CLIPTextModel initialization error." + }, + { + "left": "issue:1068", + "right": "issue:1082", + "accept": false, + "reason": "Generic elastic multiprocessing failure vs a specific CUDA cublasLtMatmul execution failure; not the same underlying bug." + }, + { + "left": "issue:3646", + "right": "issue:4747", + "accept": false, + "reason": "ControlNet.from_unet missing attribute and missing model_index.json after LoRA export are different pipeline issues." + }, + { + "left": "issue:2035", + "right": "issue:4530", + "accept": false, + "reason": "Both mention artifacts, but they affect different upscaling/refiner paths and do not point to one shared defect." + }, + { + "left": "issue:2410", + "right": "issue:5572", + "accept": false, + "reason": "A missing flax/pytorch model artifact is unrelated to a FrozenDict missing scaling_factor error." + }, + { + "left": "issue:3103", + "right": "issue:4907", + "accept": false, + "reason": "Inpainting size handling and SDXL inpainting warning are not the same code-path failure." + }, + { + "left": "issue:4069", + "right": "issue:7694", + "accept": false, + "reason": "Textual inversion unloading and ControlNetXS checkpoint key updates are unrelated maintenance/reporting topics." + }, + { + "left": "issue:5963", + "right": "issue:6807", + "accept": false, + "reason": "Kandinsky embeds/prompt handling and MPS test collection failure are unrelated." + }, + { + "left": "issue:6234", + "right": "issue:8708", + "accept": false, + "reason": "Training script issue for SDXL and missing SD3 VAE shift_factor are separate example regressions." + }, + { + "left": "issue:6536", + "right": "issue:6657", + "accept": false, + "reason": "OOM in 3D UNet fine-tuning and swapped frames/channels in UNet3DConditionModel are different defects." + }, + { + "left": "issue:1866", + "right": "issue:967", + "accept": false, + "reason": "Different scheduler/pipeline incompatibilities with different failure modes and surfaces." + }, + { + "left": "issue:4638", + "right": "issue:5226", + "accept": false, + "reason": "Textual inversion on SDXL and LoRA loading in an SDXL adapter pipeline are distinct features and failures." + }, + { + "left": "issue:1062", + "right": "issue:2332", + "accept": false, + "reason": "Dreambooth reproducibility concern vs a separate inference-after-training error." + }, + { + "left": "issue:2132", + "right": "issue:4733", + "accept": false, + "reason": "Accelerator.trackers attribute error in one script vs checkpoint resume optimizer inf-check failure in another; not the same bug." + }, + { + "left": "issue:5315", + "right": "issue:6232", + "accept": false, + "reason": "Both scheduler-related, but they involve different scheduler methods and error conditions." + }, + { + "left": "issue:6790", + "right": "issue:6906", + "accept": false, + "reason": "Unexpected state_dict key in LCM training is not the same as the LoRA dreambooth example breakage." + }, + { + "left": "issue:11117", + "right": "issue:7415", + "accept": false, + "reason": "Mixed Half/BFloat16 runtime error on SD3 is different from AutoencoderKL bfloat16 behavior on TPU." + }, + { + "left": "issue:2410", + "right": "issue:3451", + "accept": false, + "reason": "Model file absence in Flax training is unrelated to fp16 memory usage regression." + }, + { + "left": "issue:11570", + "right": "issue:9953", + "accept": false, + "reason": "Both involve quantized components, but one is a .to() cast failure during LoRA loading while the other is moving a quantized pipeline to CUDA; related theme, different concrete bug." + }, + { + "left": "issue:2728", + "right": "issue:2803", + "accept": false, + "reason": "A safetensors loading error and a WSL2 docs build issue are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 318, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10003", + "issue:10010", + "issue:10194", + "issue:10392", + "issue:10450", + "issue:10782", + "issue:11093", + "issue:11830", + "issue:12034", + "issue:12082", + "issue:12175", + "issue:12783", + "issue:1298", + "issue:13137", + "issue:1478", + "issue:1790", + "issue:2276", + "issue:2614", + "issue:2776", + "issue:2783", + "issue:3073", + "issue:3086", + "issue:3087", + "issue:3149", + "issue:3171", + "issue:3570", + "issue:3631", + "issue:4337", + "issue:4554", + "issue:4709", + "issue:4782", + "issue:5605", + "issue:5931", + "issue:6727", + "issue:7378", + "issue:761", + "issue:7895", + "issue:8440", + "issue:8469", + "issue:8578", + "issue:9223", + "issue:9393", + "issue:9670", + "issue:9756", + "issue:9763", + "issue:9858", + "issue:9926" + ], + "soft_pairs": [ + "issue:10003|issue:8578", + "issue:10010|issue:9756", + "issue:10450|issue:7895", + "issue:10782|issue:13137", + "issue:1298|issue:1478", + "issue:1790|issue:761", + "issue:2783|issue:3171", + "issue:3086|issue:5605", + "issue:3149|issue:5931", + "issue:6727|issue:8440", + "issue:12082|issue:9763", + "issue:2276|issue:4709", + "issue:11830|issue:12783", + "issue:9393|issue:9858", + "issue:10194|issue:9926", + "issue:10392|issue:9670", + "issue:11093|issue:8469", + "issue:12034|issue:12175", + "issue:2614|issue:3570", + "issue:2776|issue:9223", + "issue:3073|issue:3087", + "issue:3631|issue:4782", + "issue:3631|issue:7378", + "issue:4337|issue:4554" + ], + "prepared_review_unit_hash": "28d97dd12cce7c8314976617dc3bb026a59de7be8a3a1258605595ad866a852a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32948, + "estimated_input_tokens": 8237, + "estimated_eval_tokens": 16730 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab-bag of unrelated model/pipeline bugs and feature requests. The only clear duplicate-looking pair is the StableDiffusion nondeterminism reports (3149/5931).", + "confidence": 0.89, + "canonical_issue_reason": "issue:3149 is the earlier, more specific report of the same StableDiffusion nondeterminism symptom, so it is the best canonical target for that duplicate pair.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:3149 is the strongest representative issue in the set: it has a clear, concrete symptom and a version-specific repro context that the broader 5931 report appears to duplicate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10003", + "right": "issue:8578", + "accept": false, + "reason": "Different failures in different code paths: scheduler bug vs meta-tensor load error." + }, + { + "left": "issue:10010", + "right": "issue:9756", + "accept": false, + "reason": "Both mention something missing, but one is a missing model URL and the other a missing notebook file; not the same bug." + }, + { + "left": "issue:10450", + "right": "issue:7895", + "accept": false, + "reason": "Unrelated topics: Flux block implementation mismatch vs Flax attention backend breakage." + }, + { + "left": "issue:10782", + "right": "issue:13137", + "accept": false, + "reason": "Different models and failures; one is a minor Lumina issue, the other is a Flux LoRA load error." + }, + { + "left": "issue:1298", + "right": "issue:1478", + "accept": false, + "reason": "Both are StableDiffusion pipeline bugs, but they concern different pipelines and different symptoms." + }, + { + "left": "issue:1790", + "right": "issue:761", + "accept": false, + "reason": "A general training question is not a duplicate of an optimizer-specific DreamBooth failure." + }, + { + "left": "issue:2783", + "right": "issue:3171", + "accept": false, + "reason": "Both are controlnet feature requests, but they ask for different capabilities and are not the same change." + }, + { + "left": "issue:3086", + "right": "issue:5605", + "accept": false, + "reason": "Different tasks entirely: audio-to-image vs per-image caption support for DreamBooth." + }, + { + "left": "issue:3149", + "right": "issue:5931", + "accept": true, + "reason": "Same underlying bug: StableDiffusion generation is reported as non-deterministic in both issues; one is just version-specific." + }, + { + "left": "issue:6727", + "right": "issue:8440", + "accept": false, + "reason": "Both are ValueErrors, but the error contexts and likely code paths are unrelated." + }, + { + "left": "issue:12082", + "right": "issue:9763", + "accept": false, + "reason": "Different subsystems and symptoms: VAE memory regression after compile vs token truncation in Flux ControlNet training." + }, + { + "left": "issue:2276", + "right": "issue:4709", + "accept": false, + "reason": "Unrelated: xformers install problem vs ControlNet guess mode support." + }, + { + "left": "issue:11830", + "right": "issue:12783", + "accept": false, + "reason": "Both describe corrupted outputs, but they involve different models, hardware, and failure mechanisms." + }, + { + "left": "issue:9393", + "right": "issue:9858", + "accept": false, + "reason": "A model-saving failure in Flux DreamBooth LoRA is not the same as a KeyError in training configuration." + }, + { + "left": "issue:10194", + "right": "issue:9926", + "accept": false, + "reason": "Both are feature requests, but for different features and different code paths." + }, + { + "left": "issue:10392", + "right": "issue:9670", + "accept": false, + "reason": "Different issues: a specific Flux/LoRA quality problem vs a PEFT backend requirement error." + }, + { + "left": "issue:11093", + "right": "issue:8469", + "accept": false, + "reason": "Example breakage and face corruption are unrelated bugs." + }, + { + "left": "issue:12034", + "right": "issue:12175", + "accept": false, + "reason": "Both concern output quality, but they are for different models and different reports." + }, + { + "left": "issue:2614", + "right": "issue:3570", + "accept": false, + "reason": "Both are about loading behavior, but one is download-directory control and the other is disabling downloads for ckpt loading." + }, + { + "left": "issue:2776", + "right": "issue:9223", + "accept": false, + "reason": "Separate dependency/version problems in different training stacks; not the same bug." + }, + { + "left": "issue:3073", + "right": "issue:3087", + "accept": false, + "reason": "Different feature requests for different model families: Consistency models vs LyCORIS support." + }, + { + "left": "issue:3631", + "right": "issue:4782", + "accept": false, + "reason": "Both are inpainting bugs, but one is an exception when passing latents and the other is mask preservation failure." + }, + { + "left": "issue:3631", + "right": "issue:7378", + "accept": false, + "reason": "Inpainting latent-input exception is unrelated to AnimateDiff memory usage during latent decoding." + }, + { + "left": "issue:4337", + "right": "issue:4554", + "accept": false, + "reason": "Different problems: torch.compile incompatibility vs example OOM." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet, and the only positive duplicate judgment (3149/5931) is conservative and supported by the titles. The negative soft-edge verdicts are also appropriately cautious and do not overstate duplication. No PR-pair issue applies here." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 319, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10277", + "issue:10550", + "issue:10640", + "issue:10658", + "issue:10673", + "issue:11408", + "issue:11581", + "issue:11874", + "issue:12108", + "issue:12470", + "issue:13203", + "issue:181", + "issue:2371", + "issue:2772", + "issue:3019", + "issue:3382", + "issue:3643", + "issue:4057", + "issue:4213", + "issue:4398", + "issue:4649", + "issue:4668", + "issue:4874", + "issue:5109", + "issue:5178", + "issue:5593", + "issue:6125", + "issue:6164", + "issue:6313", + "issue:6476", + "issue:6667", + "issue:6700", + "issue:6742", + "issue:7021", + "issue:7168", + "issue:7178", + "issue:7348", + "issue:7417", + "issue:7661", + "issue:8831", + "issue:8930", + "issue:9298", + "issue:9534", + "issue:9660", + "issue:9665", + "issue:9674", + "issue:9704", + "issue:9933" + ], + "soft_pairs": [ + "issue:4398|issue:8831", + "issue:7168|issue:7661", + "issue:9534|issue:9665", + "issue:3019|issue:6313", + "issue:10673|issue:9704", + "issue:6667|issue:9674", + "issue:2371|issue:4057", + "issue:5593|issue:9660", + "issue:6125|issue:9933", + "issue:10277|issue:12108", + "issue:11874|issue:13203", + "issue:5178|issue:7417", + "issue:2772|issue:4874", + "issue:4668|issue:7348", + "issue:4649|issue:6700", + "issue:11581|issue:9298", + "issue:6476|issue:7178", + "issue:4213|issue:6742", + "issue:5109|issue:8930", + "issue:181|issue:3382", + "issue:3643|issue:6164", + "issue:10550|issue:11408", + "issue:10640|issue:7021", + "issue:10658|issue:12470" + ], + "prepared_review_unit_hash": "0a5aba73c8ce29a654d99e1db6d8e1f73ef086f5b0089d1d38184652cea7c2a2", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34026, + "estimated_input_tokens": 8507, + "estimated_eval_tokens": 17270 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster does not look like a duplicate set: the proposed pairs span unrelated bugs, features, models, and APIs, so no canonical issue/PR emerges.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue is a credible canonical representative because the items cover many different code paths and failure modes rather than one underlying bug.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global best representative; the cluster is too heterogeneous to summarize with one issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4398", + "right": "issue:8831", + "accept": false, + "reason": "Both mention LoRA, but one is about SDXL LoRA dreambooth producing black images and the other about unsupported layers; different symptoms and fixes." + }, + { + "left": "issue:7168", + "right": "issue:7661", + "accept": false, + "reason": "Both involve IP-Adapter, but one is about getting correct image embeddings and the other about AnimateDiff pipeline creation with an IP-adapter UNet; not the same bug." + }, + { + "left": "issue:9534", + "right": "issue:9665", + "accept": false, + "reason": "FluxMultiControlNetModel missing `config` and DeepSpeed affecting `accelerator.prepare()` are unrelated issues in different parts of the stack." + }, + { + "left": "issue:3019", + "right": "issue:6313", + "accept": false, + "reason": "Text-guided image editing with SAM and a Null-Text Inversion pipeline are separate feature requests, not one underlying problem." + }, + { + "left": "issue:10673", + "right": "issue:9704", + "accept": false, + "reason": "A Flux/AuraFlow shape mismatch and a cuDNN execution-plan error have different causes and code paths." + }, + { + "left": "issue:6667", + "right": "issue:9674", + "accept": false, + "reason": "ControlNet-XS inpaint support and SD3 controlnet training quality are distinct model/pipeline problems." + }, + { + "left": "issue:2371", + "right": "issue:4057", + "accept": false, + "reason": "Dreambooth output missing objects and blurred finetuned inpainting output are different quality/failure modes." + }, + { + "left": "issue:5593", + "right": "issue:9660", + "accept": false, + "reason": "`AutoPipeline.from_pipe` with ControlNet and `from_pretrained` not switching modules to eval are separate API behaviors." + }, + { + "left": "issue:6125", + "right": "issue:9933", + "accept": false, + "reason": "Motion model parameter handling and SD3 Img2Img missing width/height are unrelated call-signature/API issues." + }, + { + "left": "issue:10277", + "right": "issue:12108", + "accept": false, + "reason": "Fluxfill Euler scheduler use and Qwen/Chroma flow-matching scheduler failures are different pipelines and different scheduler logic." + }, + { + "left": "issue:11874", + "right": "issue:13203", + "accept": false, + "reason": "LoRA `exclude_modules` behavior and Zimage LoRA support are not the same bug, despite both touching LoRA." + }, + { + "left": "issue:5178", + "right": "issue:7417", + "accept": false, + "reason": "DPM-SDE resolution-change instability and a Mac-only `test_lora_fuse_nan()` failure are unrelated." + }, + { + "left": "issue:2772", + "right": "issue:4874", + "accept": false, + "reason": "A training script rejecting local datasets and an upscale pipeline's local scheduler bug are different scripts and different failure points." + }, + { + "left": "issue:4668", + "right": "issue:7348", + "accept": false, + "reason": "Both mention bad image output, but one is Kohya-style LoRA on SD1.5 and the other is EulerAncestralDiscreteScheduler with ControlNet inpaint; not the same bug." + }, + { + "left": "issue:4649", + "right": "issue:6700", + "accept": false, + "reason": "`added_cond_kwargs` being `None` and attention processors receiving an unexpected `temb` are different TypeErrors in different subsystems." + }, + { + "left": "issue:11581", + "right": "issue:9298", + "accept": false, + "reason": "Loading IP Adapter into FLUX with an unexpected `dtype` argument and missing `Float8_e4m3fnStorage` are unrelated runtime errors." + }, + { + "left": "issue:6476", + "right": "issue:7178", + "accept": false, + "reason": "Both are about `export_to_video`, but one is an OpenCV-upgrade crash and the other is a general incorrect-behavior report; no shared concrete cause is shown." + }, + { + "left": "issue:4213", + "right": "issue:6742", + "accept": false, + "reason": "Missing `accelerate` for `from_single_file()` and checkpointing differences in DownBlockMotion are separate issues." + }, + { + "left": "issue:5109", + "right": "issue:8930", + "accept": false, + "reason": "Both use StableDiffusionXLControlNetImg2Img, but one is a LoRA loading exception and the other is poor control-image adherence; different code paths." + }, + { + "left": "issue:181", + "right": "issue:3382", + "accept": false, + "reason": "Image-writing failure in `train_unconditional.py` and multi-GPU OOM in `train_text_to_image.py` are unrelated training problems." + }, + { + "left": "issue:3643", + "right": "issue:6164", + "accept": false, + "reason": "An INT_MAX overflow during latent decoding and incorrect handling of `output_type='latent'` are distinct output/decoding bugs." + }, + { + "left": "issue:10550", + "right": "issue:11408", + "accept": false, + "reason": "Quantized-base-model LoRA loading and `set_adapters` on compiled models are both adapter-related but not the same concrete failure." + }, + { + "left": "issue:10640", + "right": "issue:7021", + "accept": false, + "reason": "A FluxInpaintPipeline DataParallel error and an HF_HOME import error are unrelated." + }, + { + "left": "issue:10658", + "right": "issue:12470", + "accept": false, + "reason": "Adding `provider_options` to ONNX Runtime session creation and adding quantizer key-update APIs are unrelated enhancements." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 320, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11321", + "issue:1255", + "issue:1290", + "issue:1672", + "issue:1685", + "issue:2201", + "issue:3062", + "issue:307", + "issue:3085", + "issue:3194", + "issue:3251", + "issue:3645", + "issue:3674", + "issue:3824", + "issue:3910", + "issue:4075", + "issue:4222", + "issue:4453", + "issue:4483", + "issue:4578", + "issue:4585", + "issue:4676", + "issue:4705", + "issue:4756", + "issue:4868", + "issue:5209", + "issue:5328", + "issue:5405", + "issue:5578", + "issue:5645", + "issue:5769", + "issue:5786", + "issue:5845", + "issue:6274", + "issue:6681", + "issue:6869", + "issue:6906", + "issue:6967", + "issue:7333", + "issue:7813", + "issue:7955", + "issue:7972", + "issue:8393", + "issue:8671", + "issue:8918", + "issue:8943", + "issue:9046", + "issue:9477" + ], + "soft_pairs": [ + "issue:11321|issue:9046", + "issue:1255|issue:4585", + "issue:1290|issue:307", + "issue:1685|issue:3251", + "issue:3062|issue:4075", + "issue:3085|issue:4483", + "issue:3645|issue:4705", + "issue:3674|issue:4756", + "issue:3824|issue:7813", + "issue:3910|issue:5328", + "issue:4222|issue:5786", + "issue:4453|issue:5209", + "issue:4578|issue:5405", + "issue:4676|issue:8393", + "issue:5578|issue:5769", + "issue:5645|issue:6274", + "issue:5845|issue:6906", + "issue:6681|issue:6869", + "issue:7333|issue:7955", + "issue:8671|issue:8918", + "issue:8943|issue:9477", + "issue:6967|issue:7972", + "issue:1672|issue:2201", + "issue:3194|issue:4868" + ], + "prepared_review_unit_hash": "368c5f6ca222fe8920d3fda7573bb46c7a756515aa0c9e68cf30b3cc677d155f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33706, + "estimated_input_tokens": 8427, + "estimated_eval_tokens": 17110 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated Diffusers issues; the soft edges are broad lexical matches, not true duplicates. I would not merge any of the candidate pairs.", + "confidence": 0.32, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:6906 is the most concrete, actionable bug report here (a broken LoRA DreamBooth example), so it is the best single issue to anchor on among an otherwise mixed set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11321", + "right": "issue:9046", + "accept": false, + "reason": "Both mention Flux, but one is a README/training-doc bug and the other is a VAE latent_channels question; different problems." + }, + { + "left": "issue:1255", + "right": "issue:4585", + "accept": false, + "reason": "Import error for a scheduler vs a ControlNet documentation inconsistency; no shared code-path or fix." + }, + { + "left": "issue:1290", + "right": "issue:307", + "accept": false, + "reason": "Community DreamArtist proposal vs a request to merge stable diffusion pipelines; unrelated topics." + }, + { + "left": "issue:1685", + "right": "issue:3251", + "accept": false, + "reason": "Telemetry opt-out bug and ControlNet shuffle behavior are separate features/issues." + }, + { + "left": "issue:3062", + "right": "issue:4075", + "accept": false, + "reason": "Two unrelated docstring questions in different components; not the same underlying bug." + }, + { + "left": "issue:3085", + "right": "issue:4483", + "accept": false, + "reason": "Cache-folder argument removal vs SDXL generator nondeterminism; different APIs and failures." + }, + { + "left": "issue:3645", + "right": "issue:4705", + "accept": false, + "reason": "Both involve inpainting/controlnet training, but one is a help request and the other is a script modification question, not the same bug." + }, + { + "left": "issue:3674", + "right": "issue:4756", + "accept": false, + "reason": "Metadata JSONL parsing in LoRA training vs DreamBooth style/examples support; unrelated problems." + }, + { + "left": "issue:3824", + "right": "issue:7813", + "accept": false, + "reason": "Inpaint pipeline legacy question vs a TODO about passing timesteps as tensors; no overlap in concrete failure." + }, + { + "left": "issue:3910", + "right": "issue:5328", + "accept": false, + "reason": "Both are LoRA load complaints, but one is about some LoRAs failing and the other about Civitai LoRAs failing after a change; too vague to treat as the same bug." + }, + { + "left": "issue:4222", + "right": "issue:5786", + "accept": false, + "reason": "Low-resolution dataset training vs loading a precomputed cache on another machine; different dataset/cache issues." + }, + { + "left": "issue:4453", + "right": "issue:5209", + "accept": false, + "reason": "LoRA export/conversion to safetensors vs black validation images in SDXL ControlNet/T2I-Adapter training; unrelated." + }, + { + "left": "issue:4578", + "right": "issue:5405", + "accept": false, + "reason": "Doc omission about VAE usage vs from_single_file not overwriting weights; different behavior and fix." + }, + { + "left": "issue:4676", + "right": "issue:8393", + "accept": false, + "reason": "TAESD latent brightness issue vs checkpoint shard loading performance; not the same code-path." + }, + { + "left": "issue:5578", + "right": "issue:5769", + "accept": false, + "reason": "Missing model_index.json error vs mixed-precision correctness question; unrelated." + }, + { + "left": "issue:5645", + "right": "issue:6274", + "accept": false, + "reason": "Broken LCM support and broken multi-adapter T2I-Adapter are different features with different fixes." + }, + { + "left": "issue:5845", + "right": "issue:6906", + "accept": false, + "reason": "Both are DreamBooth-related, but PixArt Alpha training and the LoRA DreamBooth example are different concrete scripts/models." + }, + { + "left": "issue:6681", + "right": "issue:6869", + "accept": false, + "reason": "Generic export_to_video issue vs a specific unpacking ValueError in export_to_video; insufficient evidence they are the same bug." + }, + { + "left": "issue:7333", + "right": "issue:7955", + "accept": false, + "reason": "Image-to-video generation research topic vs ConsistentID portrait generation; unrelated issues." + }, + { + "left": "issue:8671", + "right": "issue:8918", + "accept": false, + "reason": "Redundant code discussion in train_dreambooth_lora_sd3.py vs the SD3 DreamBooth script still being broken; not the same underlying defect." + }, + { + "left": "issue:8943", + "right": "issue:9477", + "accept": false, + "reason": "CUDA library install failure vs a DeepSpeed GatheredParameters callable error; unrelated runtime/setup failures." + }, + { + "left": "issue:6967", + "right": "issue:7972", + "accept": false, + "reason": "SDXL DreamBooth LoRA prior-preservation shape mismatch vs LEDITS++ type mismatch; different models and code paths." + }, + { + "left": "issue:1672", + "right": "issue:2201", + "accept": false, + "reason": "Wrong output image size after conversion vs tokenizer padding differences; unrelated issues." + }, + { + "left": "issue:3194", + "right": "issue:4868", + "accept": false, + "reason": "bitsandbytes package metadata error vs an AttributeError in a super object; no shared underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 321, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10209", + "issue:10636", + "issue:10798", + "issue:11962", + "issue:12613", + "issue:12666", + "issue:13311", + "issue:1614", + "issue:1802", + "issue:255", + "issue:2676", + "issue:2704", + "issue:2904", + "issue:3249", + "issue:3336", + "issue:3570", + "issue:3651", + "issue:3683", + "issue:409", + "issue:4286", + "issue:4450", + "issue:4789", + "issue:487", + "issue:5109", + "issue:5178", + "issue:5523", + "issue:5678", + "issue:5791", + "issue:5849", + "issue:5969", + "issue:6110", + "issue:7000", + "issue:7102", + "issue:7209", + "issue:7354", + "issue:7516", + "issue:7548", + "issue:8477", + "issue:8589", + "issue:9055", + "issue:9161", + "issue:9178", + "issue:9366", + "issue:9415", + "issue:9467", + "issue:9476", + "issue:9856" + ], + "soft_pairs": [ + "issue:3249|issue:7354", + "issue:8477|issue:9415", + "issue:255|issue:409", + "issue:3683|issue:4450", + "issue:7516|issue:9055", + "issue:2904|issue:5523", + "issue:7000|issue:7548", + "issue:3651|issue:5178", + "issue:1614|issue:5969", + "issue:5678|issue:5791", + "issue:5849|issue:9856", + "issue:6110|issue:7209", + "issue:2704|issue:7102", + "issue:4286|issue:5109", + "issue:9161|issue:9476", + "issue:10798|issue:9366", + "issue:12613|issue:13311", + "issue:10209|issue:9467", + "issue:2676|issue:3336", + "issue:3570|issue:4789", + "issue:10636|issue:8589", + "issue:11962|issue:9178", + "issue:1802|issue:487", + "issue:10209|issue:12666" + ], + "prepared_review_unit_hash": "f2e2bd77d0ff585db8cbf1e5d2058c6c877174d333171d6d391320b06ef6fd6e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33840, + "estimated_input_tokens": 8460, + "estimated_eval_tokens": 17176 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose collection of unrelated issues that only share superficial vocabulary around pipelines, training, LoRA, schedulers, and runtime errors. I would not merge any of the soft pairs as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": "issue:12613 is the most active open runtime bug in the set and has the strongest discussion/inbound signal, so it is the best anchor if one must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:12613 is the clearest standalone bug report here: concrete failure mode, high discussion, and external references. It is the strongest representative issue in this list.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3249", + "right": "issue:7354", + "accept": false, + "reason": "Different subsystems: UNet block argument validation vs scheduler compatibility in DDPMPipeline." + }, + { + "left": "issue:8477", + "right": "issue:9415", + "accept": false, + "reason": "Different problems: a distributed training script error vs a CogVideoX model API/parameter error." + }, + { + "left": "issue:255", + "right": "issue:409", + "accept": false, + "reason": "Unrelated failures: spatial size validation in UNet blocks vs missing pipeline method attribute." + }, + { + "left": "issue:3683", + "right": "issue:4450", + "accept": false, + "reason": "Multi-ControlNet save_pretrained is unrelated to multi-textual inversion example behavior." + }, + { + "left": "issue:7516", + "right": "issue:9055", + "accept": false, + "reason": "Different missing-symbol issues in different modules; no shared code path is evident." + }, + { + "left": "issue:2904", + "right": "issue:5523", + "accept": false, + "reason": "AudioLDM scheduler attribute error and nondeterministic outputs are not the same bug." + }, + { + "left": "issue:7000", + "right": "issue:7548", + "accept": false, + "reason": "PyTorch pytree deprecation warning is unrelated to AnimateDiff flicker." + }, + { + "left": "issue:3651", + "right": "issue:5178", + "accept": false, + "reason": "Multi-GPU DreamBooth launch failure and DPM-SDE resolution-change failure are distinct." + }, + { + "left": "issue:1614", + "right": "issue:5969", + "accept": false, + "reason": "Both are numerical issues, but one is black-image autocast output and the other is DDIM NaNs with ZSNR patch; different conditions and code paths." + }, + { + "left": "issue:5678", + "right": "issue:5791", + "accept": false, + "reason": "Higher-order-gradient attention bug is unrelated to DreamBooth prior reservation/SNR gamma behavior." + }, + { + "left": "issue:5849", + "right": "issue:9856", + "accept": false, + "reason": "Argument parsing error in a training script is unrelated to distributed port contention." + }, + { + "left": "issue:6110", + "right": "issue:7209", + "accept": false, + "reason": "Both mention offline/loading, but one is LoRA weight loading offline and the other is from_single_file triggering HTTPS; not the same bug." + }, + { + "left": "issue:2704", + "right": "issue:7102", + "accept": false, + "reason": "Feature request for batch processing Multi-ControlNet is not the same as a multi-prompt bug." + }, + { + "left": "issue:4286", + "right": "issue:5109", + "accept": false, + "reason": "Both involve LoRA on SDXL, but the affected pipelines and failure modes differ too much to treat as one bug." + }, + { + "left": "issue:9161", + "right": "issue:9476", + "accept": false, + "reason": "Distributed training bugs and a dtype mismatch in validation are different concrete failures." + }, + { + "left": "issue:10798", + "right": "issue:9366", + "accept": false, + "reason": "Flux quantization/device-combination bug is unrelated to scheduler step-count/strength failures in AutoPipelineForImage2Image." + }, + { + "left": "issue:12613", + "right": "issue:13311", + "accept": false, + "reason": "WAN i2v latent NaNs and FLUX.2 LoRA key loading errors are different model families and failure modes." + }, + { + "left": "issue:10209", + "right": "issue:9467", + "accept": false, + "reason": "CogVideoX fine-tuning error and CogVideoX I2V num_frames guard-rail issue are distinct bugs." + }, + { + "left": "issue:2676", + "right": "issue:3336", + "accept": false, + "reason": "Scheduler naming/support question is unrelated to the DPM-Solver multistep inverse scheduler request." + }, + { + "left": "issue:3570", + "right": "issue:4789", + "accept": false, + "reason": "Cannot disable downloading on checkpoint load is not the same as failing to download DeepFloyd IF." + }, + { + "left": "issue:10636", + "right": "issue:8589", + "accept": false, + "reason": "value_guided_sampling.py bug and SD3 DreamBooth prior preservation are unrelated training issues." + }, + { + "left": "issue:11962", + "right": "issue:9178", + "accept": false, + "reason": "GGUF quantized model support and FLUX LoRA target-module errors are different request/bug types." + }, + { + "left": "issue:1802", + "right": "issue:487", + "accept": false, + "reason": "encoder_hidden_states=None handling in UNet is unrelated to StableDiffusionPipeline failing on M1 CPU." + }, + { + "left": "issue:10209", + "right": "issue:12666", + "accept": false, + "reason": "CogVideoX fine-tuning error and Kandinsky 5.0 missing pipeline support are different model-specific issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 322, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10337", + "issue:10760", + "issue:10891", + "issue:10967", + "issue:11137", + "issue:11225", + "issue:11574", + "issue:12653", + "issue:215", + "issue:2581", + "issue:2645", + "issue:2668", + "issue:280", + "issue:2905", + "issue:2973", + "issue:3116", + "issue:3209", + "issue:3441", + "issue:4104", + "issue:4116", + "issue:4186", + "issue:4263", + "issue:4483", + "issue:5006", + "issue:5064", + "issue:5081", + "issue:5523", + "issue:5714", + "issue:6131", + "issue:6383", + "issue:656", + "issue:6632", + "issue:6956", + "issue:7441", + "issue:8309", + "issue:8320", + "issue:8534", + "issue:8535", + "issue:8641", + "issue:8839", + "issue:8958", + "issue:9031", + "issue:9039", + "issue:9092", + "issue:9476", + "issue:9515", + "issue:984", + "issue:9873" + ], + "soft_pairs": [ + "issue:10337|issue:11137", + "issue:215|issue:656", + "issue:280|issue:2905", + "issue:4116|issue:8320", + "issue:4263|issue:6632", + "issue:5714|issue:7441", + "issue:6383|issue:9515", + "issue:8534|issue:8535", + "issue:9031|issue:9039", + "issue:2973|issue:5523", + "issue:10760|issue:8958", + "issue:5006|issue:6956", + "issue:10891|issue:12653", + "issue:4186|issue:5064", + "issue:10967|issue:8641", + "issue:2581|issue:2645", + "issue:3116|issue:3441", + "issue:3209|issue:984", + "issue:6131|issue:9092", + "issue:11574|issue:8839", + "issue:11225|issue:9476", + "issue:4483|issue:5081", + "issue:8309|issue:9873", + "issue:2668|issue:4104" + ], + "prepared_review_unit_hash": "e5445a02509dd8ca8aaf45122a9d2ceec9e351d4aeee1337f05c71795e66df4a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33547, + "estimated_input_tokens": 8387, + "estimated_eval_tokens": 17030 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous; the soft-similarity pairs are broad theme matches rather than true duplicates. No pull requests are present. If an issue must anchor the cluster, issue:10337 is the strongest concrete bug report with the most discussion and references.", + "confidence": 0.94, + "canonical_issue_reason": "issue:10337 is the clearest, most concrete bug report in the set and has the strongest engagement/inbound references; the rest are largely unrelated bugs or feature requests.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10337 is the best overall representative issue for this cluster because it has a specific failure mode, substantial discussion, and external references.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10337", + "right": "issue:11137", + "accept": false, + "reason": "Both mention dtype/mismatch problems, but they affect different pipelines and likely different code paths." + }, + { + "left": "issue:215", + "right": "issue:656", + "accept": false, + "reason": "Both are memory/resource failures, but one is a generic from_pretrained kill and the other is a training GPU OOM case." + }, + { + "left": "issue:280", + "right": "issue:2905", + "accept": false, + "reason": "Both are scheduler-related feature requests, but they are distinct changes: DEIS support vs Karras sigmas." + }, + { + "left": "issue:4116", + "right": "issue:8320", + "accept": false, + "reason": "Unrelated bugs: SDXL img2img embeddings vs from_single_file __name__ attribute error." + }, + { + "left": "issue:4263", + "right": "issue:6632", + "accept": false, + "reason": "Both involve LoRA, but one is unloading behavior and the other is about save_state in training scripts." + }, + { + "left": "issue:5714", + "right": "issue:7441", + "accept": false, + "reason": "PeftModel support in a warning helper is unrelated to pytest not running on Python 3.12." + }, + { + "left": "issue:6383", + "right": "issue:9515", + "accept": false, + "reason": "Different areas entirely: multi-stage learning rates vs SD3 attention RMSNorm omission." + }, + { + "left": "issue:8534", + "right": "issue:8535", + "accept": false, + "reason": "Both are SD3 issues, but one is training weighting and the other is xformers attention support." + }, + { + "left": "issue:9031", + "right": "issue:9039", + "accept": false, + "reason": "Both are Flax pipeline questions, but safety checker disabling and LoRA loading are separate features." + }, + { + "left": "issue:2973", + "right": "issue:5523", + "accept": false, + "reason": "Both discuss inconsistent outputs, but one is tied to cpu offload behavior and the other is generic run-to-run inconsistency." + }, + { + "left": "issue:10760", + "right": "issue:8958", + "accept": false, + "reason": "Importing a missing pipeline class is unrelated to the torch.library.register_fake compatibility break." + }, + { + "left": "issue:5006", + "right": "issue:6956", + "accept": false, + "reason": "Both are OOM reports, but they involve different pipelines, environments, and failure contexts." + }, + { + "left": "issue:10891", + "right": "issue:12653", + "accept": false, + "reason": "Both are dtype-related regressions, but they are different bugs on different models/devices and code paths." + }, + { + "left": "issue:4186", + "right": "issue:5064", + "accept": false, + "reason": "Both mention refiner, but one is a functional inpaint/refiner bug and the other is an out-of-space inference issue." + }, + { + "left": "issue:10967", + "right": "issue:8641", + "accept": false, + "reason": "These are separate model integration requests, not the same underlying change." + }, + { + "left": "issue:2581", + "right": "issue:2645", + "accept": false, + "reason": "ControlNet checkpoint conversion and a macOS CUDA assertion error are unrelated problems." + }, + { + "left": "issue:3116", + "right": "issue:3441", + "accept": false, + "reason": "Different failure modes: latent noise in KDPM2DiscreteScheduler vs VRAM usage regression." + }, + { + "left": "issue:3209", + "right": "issue:984", + "accept": false, + "reason": "Both are numerical/shape issues on larger inputs, but they arise from different ops and symptoms." + }, + { + "left": "issue:6131", + "right": "issue:9092", + "accept": false, + "reason": "IP-Adapter Plus failure and missing model_index.json are unrelated pipeline issues." + }, + { + "left": "issue:11574", + "right": "issue:8839", + "accept": false, + "reason": "Both are weight-loading errors, but they concern different models and different missing keys." + }, + { + "left": "issue:11225", + "right": "issue:9476", + "accept": false, + "reason": "Both are validation/training regressions, but one is OOM and the other is a dtype mismatch." + }, + { + "left": "issue:4483", + "right": "issue:5081", + "accept": false, + "reason": "Generator nondeterminism and LPW XL shape mismatch are distinct bugs." + }, + { + "left": "issue:8309", + "right": "issue:9873", + "accept": false, + "reason": "Both are model integration items, but they are different models and not the same change." + }, + { + "left": "issue:2668", + "right": "issue:4104", + "accept": false, + "reason": "ControlNet image routing bug and black-image/invalid cast output are different pipeline failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 323, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10030", + "issue:10121", + "issue:10194", + "issue:10584", + "issue:11221", + "issue:11601", + "issue:12052", + "issue:12120", + "issue:13281", + "issue:1746", + "issue:1933", + "issue:2579", + "issue:3116", + "issue:3406", + "issue:3441", + "issue:3960", + "issue:4075", + "issue:4159", + "issue:4249", + "issue:4701", + "issue:4801", + "issue:4875", + "issue:4911", + "issue:5224", + "issue:5313", + "issue:5365", + "issue:5703", + "issue:5981", + "issue:5997", + "issue:6091", + "issue:6101", + "issue:6552", + "issue:6586", + "issue:6964", + "issue:7365", + "issue:7418", + "issue:7460", + "issue:7636", + "issue:8649", + "issue:8898", + "issue:9051", + "issue:9052", + "issue:929", + "issue:9516", + "issue:9799", + "issue:9822", + "issue:9907" + ], + "soft_pairs": [ + "issue:3116|issue:5703", + "issue:4701|issue:6091", + "issue:3960|issue:5313", + "issue:12052|issue:13281", + "issue:11601|issue:8898", + "issue:1746|issue:5224", + "issue:1933|issue:4075", + "issue:3406|issue:929", + "issue:4249|issue:7365", + "issue:4801|issue:5981", + "issue:4911|issue:9052", + "issue:5365|issue:8649", + "issue:7418|issue:7460", + "issue:9516|issue:9822", + "issue:10030|issue:7636", + "issue:10121|issue:10584", + "issue:5997|issue:9907", + "issue:2579|issue:3441", + "issue:3441|issue:4159", + "issue:6101|issue:6964", + "issue:10194|issue:12120", + "issue:11221|issue:9799", + "issue:4875|issue:9051", + "issue:6552|issue:6586" + ], + "prepared_review_unit_hash": "000f019a1cfe6c8ca40501286a6ce43f5da040bf4d93d46a40869ff4edfaf82f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33344, + "estimated_input_tokens": 8336, + "estimated_eval_tokens": 16928 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the items span unrelated bugs, docs, scheduler issues, Flux/ControlNet problems, and training questions. None of the soft pairs look like the same underlying defect, so there is no meaningful canonical duplicate target here.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out; the set is not a duplicate cluster and the candidates cover different code paths and even non-bug/doc items.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue for deduping: several issues are concrete, but they are about different subsystems and should not be merged into one representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3116", + "right": "issue:5703", + "accept": false, + "reason": "Both relate to sampling/schedulers, but one is KDPM2DiscreteScheduler image2image noise and the other is ddim_inverse noise reconstruction; different bugs." + }, + { + "left": "issue:4701", + "right": "issue:6091", + "accept": false, + "reason": "AutoencoderKL CUDA differentiation error is unrelated to Consistency Decoder memory usage with a size argument." + }, + { + "left": "issue:3960", + "right": "issue:5313", + "accept": false, + "reason": "LoRA header-too-large loading failure is not the same as non-revertible fuse behavior." + }, + { + "left": "issue:12052", + "right": "issue:13281", + "accept": false, + "reason": "Both mention device mismatch/offloading, but they involve different models and mechanisms (Wan 2.2 LightX2V vs torchao-quantized qwen image)." + }, + { + "left": "issue:11601", + "right": "issue:8898", + "accept": false, + "reason": "One is a missing use_safetensors argument propagation; the other is a from_pretrained subfolder path validation error." + }, + { + "left": "issue:1746", + "right": "issue:5224", + "accept": false, + "reason": "Both are Flax Stable Diffusion issues, but they are different errors in different contexts/models." + }, + { + "left": "issue:1933", + "right": "issue:4075", + "accept": false, + "reason": "These are separate docstring fixes for different pipelines, not the same change." + }, + { + "left": "issue:3406", + "right": "issue:929", + "accept": false, + "reason": "The attention class failure with only_cross_attention=True is unrelated to the duplicated square-root calculation concern." + }, + { + "left": "issue:4249", + "right": "issue:7365", + "accept": false, + "reason": "StableDiffusionUpscalePipeline prompt_embeds validation differs from pooled_prompt_embeds being overwritten." + }, + { + "left": "issue:4801", + "right": "issue:5981", + "accept": false, + "reason": "Mixed precision example training bug and DPMSolverMultistepScheduler bug are different code paths." + }, + { + "left": "issue:4911", + "right": "issue:9052", + "accept": false, + "reason": "Both are loading-related, but custom text_encoder loading and civit from_single_file failures are distinct issues." + }, + { + "left": "issue:5365", + "right": "issue:8649", + "accept": false, + "reason": "txt2video num_inference_steps handling is unrelated to SD3 num_images_per_prompt support." + }, + { + "left": "issue:7418", + "right": "issue:7460", + "accept": false, + "reason": "A community example bug is not the same as an AdaLayerNorm defect." + }, + { + "left": "issue:9516", + "right": "issue:9822", + "accept": false, + "reason": "Missing joint_attention_kwargs forwarding to Flux transformers is different from loading SDXL LoRAs into Flux." + }, + { + "left": "issue:10030", + "right": "issue:7636", + "accept": false, + "reason": "ControlNet added_cond_kwargs null handling is a different bug from using the ControlNet SDXL tile model." + }, + { + "left": "issue:10121", + "right": "issue:10584", + "accept": false, + "reason": "High-resolution generation in Flux.1 Dev and missing timestep indices in scheduling_flow_match_euler_discrete.py are unrelated." + }, + { + "left": "issue:5997", + "right": "issue:9907", + "accept": false, + "reason": "ControlNet SDXL tutorial model-type mismatch is not the same as a Flux ControlNet sequence-length warning." + }, + { + "left": "issue:2579", + "right": "issue:3441", + "accept": false, + "reason": "A possible xFormers misuse is not the same as higher VRAM usage in PyTorch 2 without xFormers." + }, + { + "left": "issue:3441", + "right": "issue:4159", + "accept": false, + "reason": "Both are VRAM-related, but one is a performance regression and the other is a specific DiffEdit memory explosion." + }, + { + "left": "issue:6101", + "right": "issue:6964", + "accept": false, + "reason": "ControlNet inpaint performance is not the same as 4-channel UNet incompatibility." + }, + { + "left": "issue:10194", + "right": "issue:12120", + "accept": false, + "reason": "Flux attention masking support and LoRA training on distilled Flux are different concerns." + }, + { + "left": "issue:11221", + "right": "issue:9799", + "accept": false, + "reason": "AutoencoderKL training non-convergence is unrelated to a tensor shape mismatch runtime error." + }, + { + "left": "issue:4875", + "right": "issue:9051", + "accept": false, + "reason": "DPM++ SDE batch-size change crashes and FluxPipeline batch inference limitations are different failures." + }, + { + "left": "issue:6552", + "right": "issue:6586", + "accept": false, + "reason": "FP16 training resume problems and SDXL trainer micro-conditioning are separate tracker items." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 324, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1009", + "issue:10472", + "issue:11083", + "issue:11092", + "issue:11136", + "issue:11169", + "issue:11321", + "issue:11497", + "issue:11569", + "issue:11978", + "issue:12358", + "issue:12369", + "issue:12624", + "issue:13176", + "issue:13301", + "issue:1486", + "issue:2306", + "issue:2758", + "issue:2875", + "issue:3209", + "issue:3348", + "issue:3354", + "issue:3643", + "issue:3960", + "issue:4424", + "issue:4616", + "issue:4767", + "issue:4933", + "issue:4935", + "issue:5017", + "issue:5103", + "issue:5474", + "issue:5544", + "issue:5546", + "issue:5593", + "issue:5621", + "issue:5710", + "issue:6686", + "issue:6700", + "issue:7220", + "issue:7300", + "issue:8390", + "issue:8451", + "issue:8873", + "issue:9007", + "issue:9216", + "issue:9297", + "issue:9670" + ], + "soft_pairs": [ + "issue:11321|issue:8451", + "issue:11569|issue:12624", + "issue:2875|issue:3209", + "issue:4767|issue:5621", + "issue:5546|issue:6686", + "issue:9297|issue:9670", + "issue:11092|issue:11136", + "issue:1009|issue:1486", + "issue:3348|issue:3960", + "issue:4933|issue:7220", + "issue:11083|issue:8873", + "issue:11978|issue:12369", + "issue:2758|issue:5103", + "issue:3354|issue:4424", + "issue:4616|issue:5544", + "issue:4935|issue:7300", + "issue:5017|issue:8390", + "issue:5474|issue:9216", + "issue:5593|issue:6700", + "issue:5710|issue:9007", + "issue:2306|issue:3643", + "issue:10472|issue:11497", + "issue:11169|issue:13176", + "issue:12358|issue:13301" + ], + "prepared_review_unit_hash": "f667d7429eee5d99fd008ecfff23d720443868553ac41ecf545a35df3650be04", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34316, + "estimated_input_tokens": 8579, + "estimated_eval_tokens": 17414 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous: training-script bugs, scheduler issues, pipeline feature requests, docs, and unrelated errors. Only one soft pair looks like a plausible duplicate around the INT_MAX / large-latent decode failure.", + "confidence": 0.43, + "canonical_issue_reason": "Issue 3643 is the clearest, most specific report in the only plausible duplicate pair, with an exact error message and code-path context; issue 2306 is too vague to serve as a better anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 3643 is the best representative issue overall because it states the concrete failure mode clearly; the rest of the cluster does not form a coherent duplicate set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11321", + "right": "issue:8451", + "accept": false, + "reason": "Both relate to training/docs, but they describe different problems: a Flux ControlNet README issue versus frozen UNet parameter guidance." + }, + { + "left": "issue:11569", + "right": "issue:12624", + "accept": false, + "reason": "Unrelated requests: one asks for a repo for a model checkpoint, the other asks to add a strength parameter to a video pipeline." + }, + { + "left": "issue:2875", + "right": "issue:3209", + "accept": false, + "reason": "Both mention NaNs, but the underlying bugs differ: training loss instability versus AutoencoderKL NaNs on large images." + }, + { + "left": "issue:4767", + "right": "issue:5621", + "accept": false, + "reason": "Different scheduler/model support issues; no evidence they target the same code path or fix." + }, + { + "left": "issue:5546", + "right": "issue:6686", + "accept": false, + "reason": "One is about wrong step counts in scheduler ensembles, the other about Dynamo save/load performance regression." + }, + { + "left": "issue:9297", + "right": "issue:9670", + "accept": false, + "reason": "Different LoRA-loading problems: linear load-time scaling versus missing PEFT backend requirements." + }, + { + "left": "issue:11092", + "right": "issue:11136", + "accept": false, + "reason": "Both concern timestep handling, but they affect different pipelines and different constraints, so they are not the same bug." + }, + { + "left": "issue:1009", + "right": "issue:1486", + "accept": false, + "reason": "Different scheduler/training issues: textual inversion weight decay versus DDIM prediction_type='sample' behavior." + }, + { + "left": "issue:3348", + "right": "issue:3960", + "accept": false, + "reason": "One is about LoRA scale support with xformers, the other is a HeaderTooLarge error in LoRA conversion." + }, + { + "left": "issue:4933", + "right": "issue:7220", + "accept": false, + "reason": "Unrelated issues: DreamBooth output artifact missing versus IP-Adapter unload failure in a ControlNet inpaint pipeline." + }, + { + "left": "issue:11083", + "right": "issue:8873", + "accept": false, + "reason": "Different performance/warning complaints: DDP stride mismatch warning versus xformers being slower on A100." + }, + { + "left": "issue:11978", + "right": "issue:12369", + "accept": false, + "reason": "Both are model-pipeline requests, but they concern different models and different additions." + }, + { + "left": "issue:2758", + "right": "issue:5103", + "accept": false, + "reason": "Both mention black images, but the causes differ: ROCm/torch.compile warning versus zero-SNR DDIM behavior." + }, + { + "left": "issue:3354", + "right": "issue:4424", + "accept": false, + "reason": "Both are precision-related training-script bugs, but they affect different components (UNet fp16 casting vs VAE float32 upcast) and are not the same fix." + }, + { + "left": "issue:4616", + "right": "issue:5544", + "accept": false, + "reason": "Completely different bugs: SDXL LoRA conversion failure versus FreeU disable error in SDXL." + }, + { + "left": "issue:4935", + "right": "issue:7300", + "accept": false, + "reason": "Both involve attention/LoRA internals, but one is a usage question for an SDXL LoRA script and the other is a memory regression after set_default_attn_processor()." + }, + { + "left": "issue:5017", + "right": "issue:8390", + "accept": false, + "reason": "Different feature requests about ControlNet support; they do not describe the same pipeline or change." + }, + { + "left": "issue:5474", + "right": "issue:9216", + "accept": false, + "reason": "Both are pipeline-related, but one requests a Reference Only pipeline and the other describes a custom multi-model pipeline." + }, + { + "left": "issue:5593", + "right": "issue:6700", + "accept": false, + "reason": "Different failure modes: AutoPipeline conversion with ControlNet versus attention processors receiving an unexpected temb argument." + }, + { + "left": "issue:5710", + "right": "issue:9007", + "accept": false, + "reason": "Same scheduler family, but distinct bugs: missing sigmas initialization versus black output with order 3." + }, + { + "left": "issue:2306", + "right": "issue:3643", + "accept": true, + "reason": "These look like the same underlying large-image INT_MAX/latent-decoding problem; 3643 provides the exact error and code path." + }, + { + "left": "issue:10472", + "right": "issue:11497", + "accept": false, + "reason": "Different LoRA-related issues: an unexpected lora_bias constructor argument versus dataset cache dependence on unrelated arguments." + }, + { + "left": "issue:11169", + "right": "issue:13176", + "accept": false, + "reason": "Unrelated import-time binary incompatibility versus a UNet attention error." + }, + { + "left": "issue:12358", + "right": "issue:13301", + "accept": false, + "reason": "Both are pipeline-addition requests, but for different models and not the same change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analyst stays grounded in the packet: the cluster is heterogeneous, the non-matching soft pairs are rejected conservatively, and the one accepted pair (2306/3643) is supported by the shared INT_MAX / latent-decoding failure mode. No overstatement stands out." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 325, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10039", + "issue:1009", + "issue:10112", + "issue:10266", + "issue:10337", + "issue:10381", + "issue:10591", + "issue:10782", + "issue:10901", + "issue:1101", + "issue:1117", + "issue:11790", + "issue:12083", + "issue:1262", + "issue:1314", + "issue:1537", + "issue:1540", + "issue:1896", + "issue:1918", + "issue:201", + "issue:2579", + "issue:2785", + "issue:3282", + "issue:3405", + "issue:3660", + "issue:4593", + "issue:4916", + "issue:4923", + "issue:5016", + "issue:5271", + "issue:5515", + "issue:5678", + "issue:579", + "issue:5897", + "issue:6366", + "issue:6412", + "issue:6742", + "issue:7859", + "issue:8488", + "issue:8604", + "issue:8644", + "issue:8803", + "issue:9178", + "issue:9186", + "issue:941", + "issue:964", + "issue:9810" + ], + "soft_pairs": [ + "issue:8488|issue:8644", + "issue:5515|issue:6742", + "issue:1314|issue:4916", + "issue:1537|issue:941", + "issue:1540|issue:579", + "issue:1918|issue:964", + "issue:6412|issue:9186", + "issue:5016|issue:6366", + "issue:4923|issue:5271", + "issue:1262|issue:1896", + "issue:2579|issue:3660", + "issue:4593|issue:5678", + "issue:3282|issue:5897", + "issue:10039|issue:8803", + "issue:1009|issue:3405", + "issue:10112|issue:7859", + "issue:10266|issue:10337", + "issue:10381|issue:8604", + "issue:10591|issue:11790", + "issue:10591|issue:9810", + "issue:10782|issue:12083", + "issue:10901|issue:9178", + "issue:1101|issue:2785", + "issue:1117|issue:201" + ], + "prepared_review_unit_hash": "4ffc027ecf10a87f6bbf9b99d3ac3dcc70cc458ae185b811289de1790fe1e494", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33233, + "estimated_input_tokens": 8309, + "estimated_eval_tokens": 16874 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a collection of unrelated diffusers bug reports and feature requests spanning different pipelines, models, and failure modes. None of the soft pairs look like the same underlying bug/change closely enough to merge.", + "confidence": 0.95, + "canonical_issue_reason": "issue:8488 is a concrete, high-activity bug report with a clear pipeline failure (`StableDiffusion3Pipeline.from_pretrained` exception), making it a strong representative issue in this set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:8488 is the best single issue to anchor the cluster because it describes a specific reproducible runtime failure in a major pipeline and has substantial discussion around it.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8488", + "right": "issue:8644", + "accept": false, + "reason": "Both involve SD3/T5 loading problems, but one is a `from_pretrained` exception and the other is a meta-tensor/offload issue when loading T5 separately; different failure paths." + }, + { + "left": "issue:5515", + "right": "issue:6742", + "accept": false, + "reason": "These are unrelated: one is an LCM pipeline scheduler initialization failure, the other is a motion block checkpointing behavior difference." + }, + { + "left": "issue:1314", + "right": "issue:4916", + "accept": false, + "reason": "Both mention training/backward failures, but one is an xformers Windows backward error and the other is a gradient checkpointing/ZeRO3 training failure." + }, + { + "left": "issue:1537", + "right": "issue:941", + "accept": false, + "reason": "Both are MPS-related, but they affect different pipelines and symptoms: scheduler compatibility versus noisy multi-image img2img output." + }, + { + "left": "issue:1540", + "right": "issue:579", + "accept": false, + "reason": "Different missing-file/config problems in different training flows; not the same underlying bug." + }, + { + "left": "issue:1918", + "right": "issue:964", + "accept": false, + "reason": "A DDIM scheduler issue for one example is not the same as a broken inpainting example." + }, + { + "left": "issue:6412", + "right": "issue:9186", + "accept": false, + "reason": "ControlNet annotator ONNX conversion and differential diffusion with ControlNet are different features and failure modes." + }, + { + "left": "issue:5016", + "right": "issue:6366", + "accept": false, + "reason": "Both are SDXL Dreambooth/LoRA related, but one is about training text encoders and the other about incorrect checkpoint loading after saving." + }, + { + "left": "issue:4923", + "right": "issue:5271", + "accept": false, + "reason": "A feature request for AudioLDM 2 transcript input is unrelated to choosing different learning rates for text encoders and UNet." + }, + { + "left": "issue:1262", + "right": "issue:1896", + "accept": false, + "reason": "Rectangle-image training and a CLIP-guided Stable Diffusion size/type error are unrelated bugs." + }, + { + "left": "issue:2579", + "right": "issue:3660", + "accept": false, + "reason": "One is a possible xFormers misuse/bug, the other is `torch.compile` incompatibility with LoRA/xFormers; not the same concrete issue." + }, + { + "left": "issue:4593", + "right": "issue:5678", + "accept": false, + "reason": "Automatic1111 LoRA loading rank limits and higher-order derivative issues in attention are different code-path problems." + }, + { + "left": "issue:3282", + "right": "issue:5897", + "accept": false, + "reason": "Missing `memory_efficient_attention_forward` operator and CPU/CUDA device mismatch are distinct runtime errors." + }, + { + "left": "issue:10039", + "right": "issue:8803", + "accept": false, + "reason": "Forgotten output sample size in `AttnUpBlock2D` and a duplicate `hidden_states` assignment are separate attention-block bugs." + }, + { + "left": "issue:1009", + "right": "issue:3405", + "accept": false, + "reason": "Textual inversion weight decay and controlnet training failure do not describe the same bug." + }, + { + "left": "issue:10112", + "right": "issue:7859", + "accept": false, + "reason": "A vague diffusers issue and a FlashFace implementation request are not duplicates." + }, + { + "left": "issue:10266", + "right": "issue:10337", + "accept": false, + "reason": "UniPC/FlowMatch index OOB and FLUX IPAdapter quantized-transformers failure are different model/scheduler paths." + }, + { + "left": "issue:10381", + "right": "issue:8604", + "accept": false, + "reason": "Flux quantization/LoRA inference error and T5 float16 corruption are related to quantization but involve different components and symptoms." + }, + { + "left": "issue:10591", + "right": "issue:11790", + "accept": false, + "reason": "A training-script bug and a later checkpoint loading bug are related only broadly to LoRA, not the same failure." + }, + { + "left": "issue:10591", + "right": "issue:9810", + "accept": false, + "reason": "SD3 LoRA training-script issues and missing `module_to_save()` support are different implementation gaps." + }, + { + "left": "issue:10782", + "right": "issue:12083", + "accept": false, + "reason": "Lumina Image minor issue and Qwen-Image long-prompt error are unrelated model-specific bugs." + }, + { + "left": "issue:10901", + "right": "issue:9178", + "accept": false, + "reason": "HunyuanVideo negative-prompt behavior and FLUX LoRA PEFT target-module errors are different subsystems and failures." + }, + { + "left": "issue:1101", + "right": "issue:2785", + "accept": false, + "reason": "Adding a DPM-Solver scheduler is a feature request, not the same as M1/M2 support for text-to-video." + }, + { + "left": "issue:1117", + "right": "issue:201", + "accept": false, + "reason": "Test coverage for multiple negative prompts and attention-class tests are not the same issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 326, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10460", + "issue:11653", + "issue:11872", + "issue:12012", + "issue:12610", + "issue:13488", + "issue:1746", + "issue:1994", + "issue:2192", + "issue:2392", + "issue:2412", + "issue:2610", + "issue:2907", + "issue:2988", + "issue:3040", + "issue:3045", + "issue:3250", + "issue:3450", + "issue:347", + "issue:3706", + "issue:3761", + "issue:4194", + "issue:444", + "issue:4468", + "issue:4480", + "issue:4616", + "issue:5079", + "issue:5135", + "issue:5178", + "issue:5339", + "issue:5441", + "issue:5489", + "issue:5538", + "issue:5777", + "issue:5989", + "issue:6176", + "issue:6230", + "issue:6250", + "issue:6441", + "issue:6686", + "issue:7157", + "issue:7525", + "issue:7574", + "issue:8494", + "issue:8567", + "issue:8579", + "issue:8588", + "issue:8752" + ], + "soft_pairs": [ + "issue:1994|issue:5079", + "issue:2192|issue:6230", + "issue:2907|issue:3761", + "issue:3045|issue:5989", + "issue:3706|issue:7525", + "issue:4194|issue:6441", + "issue:4468|issue:6686", + "issue:5135|issue:6176", + "issue:5489|issue:7157", + "issue:5538|issue:8588", + "issue:5777|issue:8567", + "issue:11653|issue:8579", + "issue:12012|issue:12610", + "issue:1746|issue:2412", + "issue:4616|issue:5441", + "issue:6250|issue:7574", + "issue:2392|issue:3040", + "issue:11872|issue:13488", + "issue:2610|issue:4480", + "issue:2988|issue:444", + "issue:10460|issue:8494", + "issue:3250|issue:5178", + "issue:3450|issue:347", + "issue:5339|issue:8752" + ], + "prepared_review_unit_hash": "ee8452a408ccd0fc2896564578ce6dedfd9d2498500ebda1603b0c9082913df4", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33741, + "estimated_input_tokens": 8436, + "estimated_eval_tokens": 17128 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a set of largely unrelated issues that only weakly resemble each other by broad keywords (offloading, loading, LoRA, pipelines). None of the soft-edge pairs look like the same underlying bug or change, so all should be rejected as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1994", + "right": "issue:5079", + "accept": false, + "reason": "AWS/S3 save/load support is a storage backend feature request; the other is LoRA loader support for LyCORIS. Different functionality and failure mode." + }, + { + "left": "issue:2192", + "right": "issue:6230", + "accept": false, + "reason": "Missing CLI arguments in a training script vs CUDA OOM during SDXL training. Same area, but not the same bug." + }, + { + "left": "issue:2907", + "right": "issue:3761", + "accept": false, + "reason": "Double CPU offload invocation failure vs inability to load two community pipelines in one process. Different code paths and symptoms." + }, + { + "left": "issue:3045", + "right": "issue:5989", + "accept": false, + "reason": "LoRA safetensors conversion issue vs a generic safetensors.torch bug. Not the same concrete defect." + }, + { + "left": "issue:3706", + "right": "issue:7525", + "accept": false, + "reason": "Wuerstchen model announcement/feature discussion vs discrete scheduler bug report. No shared underlying bug." + }, + { + "left": "issue:4194", + "right": "issue:6441", + "accept": false, + "reason": "Single-file VAE loading problem vs Colab from_pretrained failure. Both are loading-related but distinct contexts and causes." + }, + { + "left": "issue:4468", + "right": "issue:6686", + "accept": false, + "reason": "Multi-GPU sample performance discrepancy vs Dynamo save/load performance regression. Different performance issues." + }, + { + "left": "issue:5135", + "right": "issue:6176", + "accept": false, + "reason": "LoRA quality degradation with xformers vs failure loading LoRA weights after DreamBooth training. One is quality, the other is loading correctness." + }, + { + "left": "issue:5489", + "right": "issue:7157", + "accept": false, + "reason": "Broad PEFT integration discussion vs specific unexpected-key errors when loading LCM LoRA. Too different in scope and symptom." + }, + { + "left": "issue:5538", + "right": "issue:8588", + "accept": false, + "reason": "Pipeline using the wrong latent vs missing SD3 conversion script. Completely different issues." + }, + { + "left": "issue:5777", + "right": "issue:8567", + "accept": false, + "reason": "DreamBooth training error on PixArt vs question about SD3 training objective correctness. Different models and bugs." + }, + { + "left": "issue:11653", + "right": "issue:8579", + "accept": false, + "reason": "HiDream .alpha key support in OneTrainer vs SD3 LoRA being non-functional. Different model formats and failure modes." + }, + { + "left": "issue:12012", + "right": "issue:12610", + "accept": false, + "reason": "Wan 2.2 first-block cache context error vs Quanto+Group Offload device mismatch. Both involve offloading-adjacent behavior, but not the same bug." + }, + { + "left": "issue:1746", + "right": "issue:2412", + "accept": false, + "reason": "Flax stable diffusion pipeline error vs a DreamBooth error. Unrelated pipelines/frameworks." + }, + { + "left": "issue:4616", + "right": "issue:5441", + "accept": false, + "reason": "SDXL LoRA conversion script problem vs WuerstchenPrior lacking attn_processors. Different models and tooling." + }, + { + "left": "issue:6250", + "right": "issue:7574", + "accept": false, + "reason": "SDXL VAE single-file KeyError vs missing middle_block_out weight key. Both are state-dict/loading issues, but not the same missing key set or model path." + }, + { + "left": "issue:2392", + "right": "issue:3040", + "accept": false, + "reason": "prompt_embeds validation bug in img2img vs an AttributeError from pasted-docs code using a list. Different root causes." + }, + { + "left": "issue:11872", + "right": "issue:13488", + "accept": false, + "reason": "Repeated CPU/GPU movement inefficiency vs a regression where offloading breaks in diffusers-0.38.0.dev0. Related subsystem, but not the same concrete defect." + }, + { + "left": "issue:2610", + "right": "issue:4480", + "accept": false, + "reason": "Local clang setup/build error on macOS vs MPS float16 kernel crash. Different platform issues." + }, + { + "left": "issue:2988", + "right": "issue:444", + "accept": false, + "reason": "Scheduler crash when training and inference steps match vs index error at certain num_inference_steps values. Different boundary conditions." + }, + { + "left": "issue:10460", + "right": "issue:8494", + "accept": false, + "reason": "Missing documented UNet2DModel argument vs unexpected force_hooks kwarg in SD3. Different API mismatches." + }, + { + "left": "issue:3250", + "right": "issue:5178", + "accept": false, + "reason": "KDiffusion pipeline startup failure vs DPM-SDE resolution-change failure. Same broad area, different bug." + }, + { + "left": "issue:3450", + "right": "issue:347", + "accept": false, + "reason": "StableDiffusionPipeline.from_ckpt dev-version issue vs package installation/version resolution error. Not the same problem." + }, + { + "left": "issue:5339", + "right": "issue:8752", + "accept": false, + "reason": "Local safetensor loading failure vs offline single-file SDXL loading. Both mention model loading, but the causes are different." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 327, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10428", + "issue:10518", + "issue:10526", + "issue:10958", + "issue:11083", + "issue:11732", + "issue:12338", + "issue:13137", + "issue:13386", + "issue:1339", + "issue:1534", + "issue:2035", + "issue:2163", + "issue:2370", + "issue:2410", + "issue:2534", + "issue:2581", + "issue:3149", + "issue:3194", + "issue:3958", + "issue:4043", + "issue:4101", + "issue:4232", + "issue:4279", + "issue:4376", + "issue:4488", + "issue:460", + "issue:4664", + "issue:4668", + "issue:4753", + "issue:4756", + "issue:4837", + "issue:490", + "issue:4904", + "issue:5009", + "issue:5365", + "issue:5628", + "issue:5957", + "issue:6457", + "issue:6870", + "issue:696", + "issue:7240", + "issue:7616", + "issue:8296", + "issue:8429", + "issue:8509", + "issue:9163", + "issue:9613" + ], + "soft_pairs": [ + "issue:6457|issue:8296", + "issue:10428|issue:8429", + "issue:3958|issue:4279", + "issue:3194|issue:6870", + "issue:4753|issue:9163", + "issue:2581|issue:4488", + "issue:4101|issue:4837", + "issue:12338|issue:13386", + "issue:2163|issue:2410", + "issue:4376|issue:4664", + "issue:5365|issue:9613", + "issue:11732|issue:13137", + "issue:1339|issue:3149", + "issue:2370|issue:4756", + "issue:4232|issue:8509", + "issue:4904|issue:5957", + "issue:5628|issue:7240", + "issue:2035|issue:490", + "issue:2534|issue:5009", + "issue:4043|issue:460", + "issue:4668|issue:7616", + "issue:10526|issue:10958", + "issue:10518|issue:11083", + "issue:1534|issue:696" + ], + "prepared_review_unit_hash": "e032faec951eb727fa3865dafe258c1ff49dd7ebfd97f738ac1f680139bd2f27", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34069, + "estimated_input_tokens": 8518, + "estimated_eval_tokens": 17292 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated bug reports that only share generic failure-language. I found no soft pair that looks like the same underlying issue or change, so all candidate edges should be rejected. Issue 10526 is the best representative anchor only because it is the most concrete and narrowly scoped report in an otherwise noisy set.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 10526 is the most specific, actionable bug report here; it\u2019s the best representative anchor, but not a true duplicate hub for the rest of the set.", + "canonical_pr_reason": null, + "best_issue_reason": "10526 has the clearest failure mode and narrowest scope, making it the strongest standalone issue in this cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6457", + "right": "issue:8296", + "accept": false, + "reason": "Different training-resume/global-step confusion vs multi-GPU SDXL-LoRA gradient accumulation; same general area, not the same bug." + }, + { + "left": "issue:10428", + "right": "issue:8429", + "accept": false, + "reason": "Ascend NPU Flux inference error and I2VGen-XL inference-script problems involve different models and code paths." + }, + { + "left": "issue:3958", + "right": "issue:4279", + "accept": false, + "reason": "Both mention LoRA loading, but one is enable_model_cpu_offload interaction and the other is SDXL 0.9 CivitAI LoRA loading; not the same concrete failure." + }, + { + "left": "issue:3194", + "right": "issue:6870", + "accept": false, + "reason": "Package metadata/bitsandbytes install issue vs missing enable_vae_tiling API on image-to-image/inpaint pipelines; unrelated." + }, + { + "left": "issue:4753", + "right": "issue:9163", + "accept": false, + "reason": "Different scripts and failures: generic train_dreambooth_lora.py problem vs Flux-specific tensor bugs." + }, + { + "left": "issue:2581", + "right": "issue:4488", + "accept": false, + "reason": "ControlNet conversion support request vs SDXL checkpoint conversion without pipeline_class; different conversion problems." + }, + { + "left": "issue:4101", + "right": "issue:4837", + "accept": false, + "reason": "Both are conversion-related, but one is custom-dataset ControlNet conversion failure and the other is SDXL original-checkpoint conversion failure; not the same bug." + }, + { + "left": "issue:12338", + "right": "issue:13386", + "accept": false, + "reason": "VAE slicing/decoding multiple images is unrelated to prior-preservation tensor concatenation crashes in a training script." + }, + { + "left": "issue:2163", + "right": "issue:2410", + "accept": false, + "reason": "UNet dtype mismatch during training is unrelated to missing flax/pytorch output files in the Flax script." + }, + { + "left": "issue:4376", + "right": "issue:4664", + "accept": false, + "reason": "Both are SDXL loader issues, but one is textual inversion crash and the other is LoRA-loading behavior; different concrete failures." + }, + { + "left": "issue:5365", + "right": "issue:9613", + "accept": false, + "reason": "txt2video num_inference_steps handling and a Timesteps.scale attribute error are distinct inference-time bugs." + }, + { + "left": "issue:11732", + "right": "issue:13137", + "accept": false, + "reason": "Both concern LoRA weights, but the unpacking ValueError and Flux 2 Klein LoKr error are different model/loader failures." + }, + { + "left": "issue:1339", + "right": "issue:3149", + "accept": false, + "reason": "General nondeterminism reports, but one is a broad same-seed complaint and the other is a specific Diffusers 0.14.0 regression; not the same issue." + }, + { + "left": "issue:2370", + "right": "issue:4756", + "accept": false, + "reason": "LoRA training on 24GB GPU vs support for a style-training notebook; different request and different context." + }, + { + "left": "issue:4232", + "right": "issue:8509", + "accept": false, + "reason": "Instruct-pix2pix/controlnet training-inference code request is not the same as a ControlNet++ feature request." + }, + { + "left": "issue:4904", + "right": "issue:5957", + "accept": false, + "reason": "GLIGEN modularization and LoRACompatibleConv padding_mode are unrelated changes." + }, + { + "left": "issue:5628", + "right": "issue:7240", + "accept": false, + "reason": "Scheduler denoising-offset bug vs low-quality conversion output; different subsystems and symptoms." + }, + { + "left": "issue:2035", + "right": "issue:490", + "accept": false, + "reason": "Tiled upscaling artifacts and memory issues are different classes of problems." + }, + { + "left": "issue:2534", + "right": "issue:5009", + "accept": false, + "reason": "Scheduler switching error vs Wuerstchen error; unrelated model/runtime issues." + }, + { + "left": "issue:4043", + "right": "issue:460", + "accept": false, + "reason": "SDXL pooled-embeds requirement and ONNX runtime dependency issue are unrelated." + }, + { + "left": "issue:4668", + "right": "issue:7616", + "accept": false, + "reason": "Weird images from Kohya-style LoRA on SD1.5 and low-denoise img2img artifacts on Playground 2.5 are different bugs." + }, + { + "left": "issue:10526", + "right": "issue:10958", + "accept": false, + "reason": "Flux FP8 optimum.quanto TypeError and CogView4 meta-tensor copy failure are different model/runtime failures." + }, + { + "left": "issue:10518", + "right": "issue:11083", + "accept": false, + "reason": "A broken sd3_lora_colab training script and a torch-DDP stride-mismatch warning are not the same underlying problem." + }, + { + "left": "issue:1534", + "right": "issue:696", + "accept": false, + "reason": "Dreambooth notebook error vs CUDA OOM during Dreambooth training; related topic, but not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 328, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10121", + "issue:10594", + "issue:11104", + "issue:11160", + "issue:11222", + "issue:11886", + "issue:13286", + "issue:1556", + "issue:1643", + "issue:1811", + "issue:2459", + "issue:2495", + "issue:2800", + "issue:3431", + "issue:3730", + "issue:4104", + "issue:4149", + "issue:4307", + "issue:4484", + "issue:4911", + "issue:5125", + "issue:5153", + "issue:5412", + "issue:5537", + "issue:5703", + "issue:5984", + "issue:6154", + "issue:6297", + "issue:6366", + "issue:6570", + "issue:6732", + "issue:6880", + "issue:7066", + "issue:7165", + "issue:7333", + "issue:7575", + "issue:8264", + "issue:8323", + "issue:8450", + "issue:8609", + "issue:8880", + "issue:9101", + "issue:9180", + "issue:9241", + "issue:938", + "issue:9611", + "issue:9756", + "issue:9858" + ], + "soft_pairs": [ + "issue:1643|issue:2459", + "issue:6732|issue:9756", + "issue:11160|issue:11222", + "issue:6154|issue:9858", + "issue:10594|issue:11886", + "issue:1556|issue:2495", + "issue:4911|issue:6880", + "issue:7066|issue:8609", + "issue:10121|issue:9611", + "issue:2800|issue:7333", + "issue:4149|issue:6570", + "issue:5984|issue:6297", + "issue:11104|issue:13286", + "issue:8264|issue:8880", + "issue:1811|issue:4307", + "issue:3730|issue:7165", + "issue:5153|issue:938", + "issue:5412|issue:6366", + "issue:5537|issue:9180", + "issue:5703|issue:8323", + "issue:9101|issue:9241", + "issue:5125|issue:7575", + "issue:3431|issue:4484", + "issue:4104|issue:8450" + ], + "prepared_review_unit_hash": "80bd9eda5bf9ae6cb5650e053125713ce1a21ab778832298c940d804eae2a0a4", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33770, + "estimated_input_tokens": 8443, + "estimated_eval_tokens": 17142 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All suggested pairs are superficial matches only; none look like the same underlying bug or change. The cluster is heterogeneous across unrelated pipelines, training scripts, loading paths, and hardware-specific failures.", + "confidence": 0.93, + "canonical_issue_reason": "No single issue stands out as a duplicate representative for this cluster; the items describe many different problems rather than one shared bug.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue candidate is suitable for deduplication because the cluster does not cohere around one concrete failure mode.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1643", + "right": "issue:2459", + "accept": false, + "reason": "Both mention xformers, but they are different scripts with different failures and not the same code-path bug." + }, + { + "left": "issue:6732", + "right": "issue:9756", + "accept": false, + "reason": "A documentation omission in DDPMScheduler is unrelated to a missing notebook file." + }, + { + "left": "issue:11160", + "right": "issue:11222", + "accept": false, + "reason": "WAN inference inconsistency and WAN LoRA support are different issues: bug vs feature coverage." + }, + { + "left": "issue:6154", + "right": "issue:9858", + "accept": false, + "reason": "M2 Mac SDXL LoRA training failure and KeyError 'train' are distinct failure modes in different contexts." + }, + { + "left": "issue:10594", + "right": "issue:11886", + "accept": false, + "reason": "Different Flux pipelines and different symptoms; not the same underlying defect." + }, + { + "left": "issue:1556", + "right": "issue:2495", + "accept": false, + "reason": "Both are black-image reports, but on different hardware/backends and different pipeline code paths." + }, + { + "left": "issue:4911", + "right": "issue:6880", + "accept": false, + "reason": "Loading a custom text encoder is unrelated to the Custom Diffusion retrieve.py issue." + }, + { + "left": "issue:7066", + "right": "issue:8609", + "accept": false, + "reason": "Multi-image img2img support and hd_painter/IP_adapter incompatibility are not the same bug." + }, + { + "left": "issue:10121", + "right": "issue:9611", + "accept": false, + "reason": "High-resolution FLUX generation and FLUX batching errors are different problems in different pipeline stages." + }, + { + "left": "issue:2800", + "right": "issue:7333", + "accept": false, + "reason": "DiffEdit semantic editing and image-to-video noise rectification are unrelated topics." + }, + { + "left": "issue:4149", + "right": "issue:6570", + "accept": false, + "reason": "Both are tensor mismatch reports, but they affect different pipelines with different batching logic." + }, + { + "left": "issue:5984", + "right": "issue:6297", + "accept": false, + "reason": "One is a RAM blow-up with fp16 variants; the other is a training failure on user photos." + }, + { + "left": "issue:11104", + "right": "issue:13286", + "accept": false, + "reason": "LTX offload bugs and torchao quantization support are unrelated concerns." + }, + { + "left": "issue:8264", + "right": "issue:8880", + "accept": false, + "reason": "Training stuck at 0% is not the same as an inference speed regression." + }, + { + "left": "issue:1811", + "right": "issue:4307", + "accept": false, + "reason": "Both involve from_pretrained, but one is weight-file selection and the other is local-files-only error handling." + }, + { + "left": "issue:3730", + "right": "issue:7165", + "accept": false, + "reason": "Wrong inpainting timestep and wrong dynamic-thresholding scale are distinct algorithmic bugs." + }, + { + "left": "issue:5153", + "right": "issue:938", + "accept": false, + "reason": "A FreeU feature request is unrelated to a text-to-motion model request." + }, + { + "left": "issue:5412", + "right": "issue:6366", + "accept": false, + "reason": "Checkpoint resume failure and checkpoint loading correctness overlap only loosely; they are not the same concrete defect." + }, + { + "left": "issue:5537", + "right": "issue:9180", + "accept": false, + "reason": "A broken SDXL notebook and a missing _execution_device attribute are different issues." + }, + { + "left": "issue:5703", + "right": "issue:8323", + "accept": false, + "reason": "DDIM inverse reconstruction and scheduler-file recognition are unrelated problems." + }, + { + "left": "issue:9101", + "right": "issue:9241", + "accept": false, + "reason": "An SD3 training script request is not the same as a LoRA conversion script request." + }, + { + "left": "issue:5125", + "right": "issue:7575", + "accept": false, + "reason": "XFormers CUDA kernel errors and Transformer2DModel adanorm shape errors are different code paths." + }, + { + "left": "issue:3431", + "right": "issue:4484", + "accept": false, + "reason": "Both mention poor results, but they concern different workflows and do not point to one shared bug." + }, + { + "left": "issue:4104", + "right": "issue:8450", + "accept": false, + "reason": "Black image output with invalid cast and weird noise at strength=1.0 are different inpainting failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 329, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10121", + "issue:1037", + "issue:10540", + "issue:10695", + "issue:10697", + "issue:11041", + "issue:1140", + "issue:1231", + "issue:12609", + "issue:13311", + "issue:1367", + "issue:1403", + "issue:1486", + "issue:2319", + "issue:2663", + "issue:2716", + "issue:2776", + "issue:3089", + "issue:3573", + "issue:3585", + "issue:3593", + "issue:3761", + "issue:3933", + "issue:4310", + "issue:4453", + "issue:4668", + "issue:4975", + "issue:5126", + "issue:5135", + "issue:5205", + "issue:5225", + "issue:5925", + "issue:6363", + "issue:6640", + "issue:7061", + "issue:709", + "issue:7440", + "issue:761", + "issue:7985", + "issue:835", + "issue:8503", + "issue:8898", + "issue:8960", + "issue:9178", + "issue:9225", + "issue:9539", + "issue:9610", + "issue:9677" + ], + "soft_pairs": [ + "issue:3573|issue:3593", + "issue:4975|issue:5135", + "issue:8503|issue:8960", + "issue:1231|issue:1367", + "issue:12609|issue:13311", + "issue:5126|issue:5225", + "issue:10540|issue:8898", + "issue:11041|issue:9539", + "issue:9178|issue:9677", + "issue:10121|issue:9225", + "issue:1037|issue:1140", + "issue:10695|issue:7061", + "issue:10697|issue:7440", + "issue:1403|issue:4668", + "issue:1486|issue:3089", + "issue:2319|issue:709", + "issue:2663|issue:3761", + "issue:2716|issue:3585", + "issue:2776|issue:6363", + "issue:3933|issue:7985", + "issue:4310|issue:4453", + "issue:5205|issue:6640", + "issue:5925|issue:9610", + "issue:761|issue:835" + ], + "prepared_review_unit_hash": "4573e84127cc6ec96feb38fd17aa9c05604addcbd554e112fb58488ba48a3303", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33730, + "estimated_input_tokens": 8433, + "estimated_eval_tokens": 17122 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No duplicate cluster emerges here: the items span unrelated Flux, LoRA, scheduler, training, loading, and documentation issues. All soft-similarity pairs were rejected because they describe different concrete failures or code paths.", + "confidence": 0.96, + "canonical_issue_reason": "No canonical duplicate: the set is heterogeneous, and the soft pairs only share broad subsystem vocabulary rather than the same underlying bug.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10540 is the strongest standalone bug report here: it has a clear trigger, a narrow loading code path, and an inbound reference.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3573", + "right": "issue:3593", + "accept": false, + "reason": "Both involve LoRA-adjacent pipeline failures, but one is a local upscaler class_labels error and the other is an xformers/PT 2.0 second-call failure." + }, + { + "left": "issue:4975", + "right": "issue:5135", + "accept": false, + "reason": "Both mention LoRA, but one is repeated datatype-query inefficiency and the other is image-quality degradation with xformers." + }, + { + "left": "issue:8503", + "right": "issue:8960", + "accept": false, + "reason": "Both are training-related, but SD3 gradient-checkpointing crashes and basic-example gradient accumulation not working are different bugs." + }, + { + "left": "issue:1231", + "right": "issue:1367", + "accept": false, + "reason": "Both are scheduler issues, but K-LMS in Flax and saving custom trained_betas config are unrelated code paths." + }, + { + "left": "issue:12609", + "right": "issue:13311", + "accept": false, + "reason": "WAN 2.2 NaNs in latents and Flux2 LoRA key-prefix lookup failures are distinct model/load problems." + }, + { + "left": "issue:5126", + "right": "issue:5225", + "accept": false, + "reason": "A Conv2d positional-args TypeError is unrelated to SDXL forward-pass VRAM exhaustion/Adafactor behavior." + }, + { + "left": "issue:10540", + "right": "issue:8898", + "accept": false, + "reason": "Both are loading failures, but they affect different loaders and different validation paths (Flux from_single_file vs from_pretrained subfolder resolution)." + }, + { + "left": "issue:11041", + "right": "issue:9539", + "accept": false, + "reason": "WAN offloading errors and CogVideoX float8 index_select failures are separate runtime paths and not the same bug." + }, + { + "left": "issue:9178", + "right": "issue:9677", + "accept": false, + "reason": "Flux LoRA target-module errors and keeping text encoders in fp32 are different Flux concerns, not one fixable defect." + }, + { + "left": "issue:10121", + "right": "issue:9225", + "accept": false, + "reason": "High-resolution Flux image generation and SDXL InstructPix2Pix latent-size mismatches are different failure modes." + }, + { + "left": "issue:1037", + "right": "issue:1140", + "accept": false, + "reason": "A community pipeline request and a hypernetworks feature thread are not the same underlying issue." + }, + { + "left": "issue:10695", + "right": "issue:7061", + "accept": false, + "reason": "DDIMInverseScheduler timestep math and an incorrect docstring for imagic inference are unrelated." + }, + { + "left": "issue:10697", + "right": "issue:7440", + "accept": false, + "reason": "Inconsistent instruct-pix2pix transforms and a missing Pokemon dataset are unrelated." + }, + { + "left": "issue:1403", + "right": "issue:4668", + "accept": false, + "reason": "Safety-checker image differences are not the same as Kohya-style LoRA producing weird images." + }, + { + "left": "issue:1486", + "right": "issue:3089", + "accept": false, + "reason": "Both are scheduler bugs, but prediction_type='sample' in DDIM and a DDPM scheduler bug are different code paths." + }, + { + "left": "issue:2319", + "right": "issue:709", + "accept": false, + "reason": "A typo in a pipeline loader helper is not the same as a documentation/docstring issue for forward()." + }, + { + "left": "issue:2663", + "right": "issue:3761", + "accept": false, + "reason": "Safety-checker safetensors loading and loading two community pipelines in one process are different loading failures." + }, + { + "left": "issue:2716", + "right": "issue:3585", + "accept": false, + "reason": "A generic checkpoint-loading question and a LoRA-synthesis failure are not the same bug." + }, + { + "left": "issue:2776", + "right": "issue:6363", + "accept": false, + "reason": "DreamBooth/DeepSpeed version compatibility and FP16 gradient unscale errors are distinct training issues." + }, + { + "left": "issue:3933", + "right": "issue:7985", + "accept": false, + "reason": "Graph compile breaking on logging.info and IPAdapter not supporting torch.compile are different compile-related problems." + }, + { + "left": "issue:4310", + "right": "issue:4453", + "accept": false, + "reason": "SDXL staircase artifacts and SDXL LoRA conversion to safetensors are unrelated." + }, + { + "left": "issue:5205", + "right": "issue:6640", + "accept": false, + "reason": "Repaint+ControlNet with LoRA/text inversion is not the same as adding LoRA support to Unet3DConditional." + }, + { + "left": "issue:5925", + "right": "issue:9610", + "accept": false, + "reason": "ZipLora multi-LoRA inference and adding load_lora_weights to SD3 img2img are separate feature requests." + }, + { + "left": "issue:761", + "right": "issue:835", + "accept": false, + "reason": "DreamBooth 8bit Adam training failure and numpy_to_pil failing on flax output are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 330, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10209", + "issue:1062", + "issue:10795", + "issue:11083", + "issue:11144", + "issue:1188", + "issue:12047", + "issue:12085", + "issue:12096", + "issue:13274", + "issue:2276", + "issue:2560", + "issue:2803", + "issue:3073", + "issue:319", + "issue:3347", + "issue:3593", + "issue:3672", + "issue:4014", + "issue:4332", + "issue:457", + "issue:4593", + "issue:5046", + "issue:5226", + "issue:5516", + "issue:579", + "issue:5967", + "issue:6112", + "issue:6535", + "issue:6574", + "issue:7009", + "issue:7168", + "issue:761", + "issue:7708", + "issue:7766", + "issue:785", + "issue:801", + "issue:8588", + "issue:8744", + "issue:8885", + "issue:9044", + "issue:9171", + "issue:9178", + "issue:9439", + "issue:9539", + "issue:964", + "issue:9717", + "issue:9813" + ], + "soft_pairs": [ + "issue:4593|issue:8885", + "issue:9178|issue:9439", + "issue:9539|issue:9717", + "issue:1188|issue:319", + "issue:2276|issue:3593", + "issue:2560|issue:3347", + "issue:3073|issue:5046", + "issue:3672|issue:785", + "issue:5226|issue:5516", + "issue:7766|issue:9813", + "issue:11144|issue:9171", + "issue:2803|issue:579", + "issue:4332|issue:7168", + "issue:5967|issue:6112", + "issue:7708|issue:8744", + "issue:801|issue:964", + "issue:1062|issue:761", + "issue:6535|issue:6574", + "issue:4014|issue:457", + "issue:12047|issue:12085", + "issue:13274|issue:9044", + "issue:10795|issue:12096", + "issue:10209|issue:7009", + "issue:11083|issue:8588" + ], + "prepared_review_unit_hash": "86f624beb1d0c1136ed41a3140c937e521fa596862399f99ded638b5db0bf39c", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33910, + "estimated_input_tokens": 8478, + "estimated_eval_tokens": 17212 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set; it groups many unrelated issues that only share broad diffusion/model-loading themes. All soft edges are superficial topical similarities, not the same underlying bug.", + "confidence": 0.94, + "canonical_issue_reason": "Issue 10795 is the clearest, most detailed bug report in the set, with a specific failure mode (`torch.compile` + GGUF + `from_single_file`) and substantial reproduction context.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10795 is the strongest anchor issue overall because it is concrete, well-scoped, and technically explicit; the rest are mostly separate model/pipeline-specific reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4593", + "right": "issue:8885", + "accept": false, + "reason": "Both involve LoRA-related loading issues, but one is about an Automatic1111 rank mismatch and the other about installing `clip-retrieval` and modifier tokens in a custom diffusion example; different failures." + }, + { + "left": "issue:9178", + "right": "issue:9439", + "accept": false, + "reason": "Both mention Flux/LoRA behavior, but one is a PEFT target-module training error and the other is inconsistent results from loading Flux differently; not the same code-path bug." + }, + { + "left": "issue:9539", + "right": "issue:9717", + "accept": false, + "reason": "Both are Flux/CogVideoX-era runtime problems, but one is an `index_select_cuda` float8 error in a video pipeline and the other is a Flux-dev Docker image issue; unrelated concrete failures." + }, + { + "left": "issue:1188", + "right": "issue:319", + "accept": false, + "reason": "These are different feature requests: CLIPSeg + Stable Diffusion pipeline vs VQ-Diffusion. No shared bug or change." + }, + { + "left": "issue:2276", + "right": "issue:3593", + "accept": false, + "reason": "Both touch LoRA/xformers in training contexts, but one is an install problem in a Dreambooth notebook and the other is a second-call runtime failure with LoRA under PT 2.0." + }, + { + "left": "issue:2560", + "right": "issue:3347", + "accept": false, + "reason": "Different defects: list-of-generators nondeterminism in Img2Img vs NaN images from text-prompt inference." + }, + { + "left": "issue:3073", + "right": "issue:5046", + "accept": false, + "reason": "A request to add Consistency models is not the same as a proposal for DragonDiffusion; these are distinct model initiatives." + }, + { + "left": "issue:3672", + "right": "issue:785", + "accept": false, + "reason": "Concurrent threading failure in StableDiffusionPipeline is unrelated to PNDMScheduler performance cost." + }, + { + "left": "issue:5226", + "right": "issue:5516", + "accept": false, + "reason": "Both concern LoRA compatibility in adapter-style pipelines, but one is about SDXL AdapterPipeline with `load_lora_weights` and the other about T2I adapters; different integration points and symptoms." + }, + { + "left": "issue:7766", + "right": "issue:9813", + "accept": false, + "reason": "Both involve IP-Adapter, but one is a usage question about FaceID Plus and the other is a batch-processing bug in `prepare_ip_adapter_image_embeds`; not the same issue." + }, + { + "left": "issue:11144", + "right": "issue:9171", + "accept": false, + "reason": "Flax dtype initialization and `from_single_file` v_prediction regression are separate model-loading problems with different stacks and causes." + }, + { + "left": "issue:2803", + "right": "issue:579", + "accept": false, + "reason": "WSL2 docs build failure is unrelated to missing `config.json` for Textual Inversion." + }, + { + "left": "issue:4332", + "right": "issue:7168", + "accept": false, + "reason": "Kandinsky xformers failure and IP-Adapter image-embed tensor-shape confusion are distinct issues." + }, + { + "left": "issue:5967", + "right": "issue:6112", + "accept": false, + "reason": "An announcement about Stable Diffusion Turbo is not the same as a user report that SDXL Turbo outputs noisy images." + }, + { + "left": "issue:7708", + "right": "issue:8744", + "accept": false, + "reason": "Both mention missing files / single-file loading around SDXL, but one is a missing tokenizer config and the other is a request to use `from_single_file` for advanced training; different problems." + }, + { + "left": "issue:801", + "right": "issue:964", + "accept": false, + "reason": "Attention slicing not being respected in inpaint/img2img is unrelated to the generic inpainting example not working." + }, + { + "left": "issue:1062", + "right": "issue:761", + "accept": false, + "reason": "Different DreamBooth training failures: inability to repeat paper results vs failure with 8-bit Adam optimizer." + }, + { + "left": "issue:6535", + "right": "issue:6574", + "accept": false, + "reason": "A request to change the SVD noise scheduler is not the same as a FutureWarning about expected input range in the SVD pipeline." + }, + { + "left": "issue:4014", + "right": "issue:457", + "accept": false, + "reason": "Watermark pixel artifacts in SDXL and blue artifacts on MPS are both visual artifacts, but they arise from different subsystems and error conditions." + }, + { + "left": "issue:12047", + "right": "issue:12085", + "accept": false, + "reason": "Both are Wan/GGUF-related load/fuse failures, but one is LoRA fusion on Wan2.2 GGUF and the other is a GGUF load error for WanVACETransformer3DModel; not clearly the same bug." + }, + { + "left": "issue:13274", + "right": "issue:9044", + "accept": false, + "reason": "The AMD recursion error in stable-audio-open is unrelated to a missing `diffusion_pytorch_model.bin` for SDXL." + }, + { + "left": "issue:10795", + "right": "issue:12096", + "accept": false, + "reason": "One is a `torch.compile` failure with GGUF-loaded transformer models; the other is a group-offloading incompatibility in WanVACEPipeline. Different code paths and symptoms." + }, + { + "left": "issue:10209", + "right": "issue:7009", + "accept": false, + "reason": "A CogVideoX fine-tuning error is unrelated to poor generation results from TextToVideoSDPipeline." + }, + { + "left": "issue:11083", + "right": "issue:8588", + "accept": false, + "reason": "A DDP stride-mismatch warning in diffusers runtime is unrelated to a missing SD3 conversion script file." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 331, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11389", + "issue:11569", + "issue:12120", + "issue:12437", + "issue:1614", + "issue:1750", + "issue:1823", + "issue:1857", + "issue:2179", + "issue:2272", + "issue:2416", + "issue:2578", + "issue:2596", + "issue:2761", + "issue:2803", + "issue:2871", + "issue:3097", + "issue:3455", + "issue:3540", + "issue:3565", + "issue:3967", + "issue:4171", + "issue:447", + "issue:4496", + "issue:4578", + "issue:4708", + "issue:4841", + "issue:5138", + "issue:5300", + "issue:5619", + "issue:5645", + "issue:5661", + "issue:5977", + "issue:6196", + "issue:6275", + "issue:6323", + "issue:6336", + "issue:6958", + "issue:7147", + "issue:7378", + "issue:776", + "issue:7889", + "issue:7985", + "issue:9034", + "issue:9336", + "issue:9350", + "issue:9495" + ], + "soft_pairs": [ + "issue:11389|issue:12437", + "issue:11569|issue:12120", + "issue:1614|issue:2179", + "issue:1823|issue:2871", + "issue:1857|issue:776", + "issue:2416|issue:4841", + "issue:2596|issue:2761", + "issue:2803|issue:7147", + "issue:3097|issue:3540", + "issue:3455|issue:5138", + "issue:3565|issue:7889", + "issue:3967|issue:4578", + "issue:4171|issue:5300", + "issue:447|issue:4496", + "issue:4708|issue:5300", + "issue:5977|issue:6958", + "issue:6196|issue:9495", + "issue:7985|issue:9336", + "issue:6336|issue:7378", + "issue:5619|issue:9350", + "issue:1750|issue:2578", + "issue:5645|issue:6275", + "issue:2272|issue:6323", + "issue:5661|issue:9034" + ], + "prepared_review_unit_hash": "7ae2ebcb934ca0ff4c849b5a3735ba7e75c5070b273949648e84369a89ce911d", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32961, + "estimated_input_tokens": 8241, + "estimated_eval_tokens": 16738 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is over-broad: the items cover many unrelated bugs, feature requests, docs issues, and model-support questions. None of the soft pairs describe the same underlying change or defect closely enough to merge.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11389", + "right": "issue:12437", + "accept": false, + "reason": "Scheduler refactor request vs OmniSVG support feature request; unrelated subsystems and goals." + }, + { + "left": "issue:11569", + "right": "issue:12120", + "accept": false, + "reason": "Both mention LTXV/FLUX models, but one asks for a repo release and the other asks how to train LoRA; different issues." + }, + { + "left": "issue:1614", + "right": "issue:2179", + "accept": false, + "reason": "Both report black images, but one is Stable Diffusion 2.1 autocast and the other is FlaxDDPMScheduler; different stacks and likely different bugs." + }, + { + "left": "issue:1823", + "right": "issue:2871", + "accept": false, + "reason": "Swapped comments in depth2img is a docs/text issue, while latent output handling is a pipeline behavior bug." + }, + { + "left": "issue:1857", + "right": "issue:776", + "accept": false, + "reason": "UnCLIP testing coverage concern vs batch-size>1 img2img failure; not the same concrete bug." + }, + { + "left": "issue:2416", + "right": "issue:4841", + "accept": false, + "reason": "xformers training slowdown and ControlNet image-size issue are distinct performance/behavior problems." + }, + { + "left": "issue:2596", + "right": "issue:2761", + "accept": false, + "reason": "Missing `load_image` docs vs missing documentation for `extra_in_channels`; both docs-related but different symbols and fixes." + }, + { + "left": "issue:2803", + "right": "issue:7147", + "accept": false, + "reason": "WSL2 docs build failure vs missing import for `StableCascadeDecoderPipeline`; unrelated problems." + }, + { + "left": "issue:3097", + "right": "issue:3540", + "accept": false, + "reason": "`load_textual_inversion` no-op vs `prompt_embeds`/`negative_prompt_embeds` unsupported in TextToVideoZero; different code paths." + }, + { + "left": "issue:3455", + "right": "issue:5138", + "accept": false, + "reason": "Instruct-pix2pix training behavior vs moving `compute_snr` to `training_utils.py`; unrelated training changes." + }, + { + "left": "issue:3565", + "right": "issue:7889", + "accept": false, + "reason": "Text-to-image OOM during example training vs single-file checkpoint loader bugs; not the same failure." + }, + { + "left": "issue:3967", + "right": "issue:4578", + "accept": false, + "reason": "SDXL branch regression vs a docs issue about VAE usage; no shared underlying bug." + }, + { + "left": "issue:4171", + "right": "issue:5300", + "accept": false, + "reason": "Reference page rendering issue vs unexpected internet connections; unrelated documentation/runtime concerns." + }, + { + "left": "issue:447", + "right": "issue:4496", + "accept": false, + "reason": "Prompt truncation detection/return vs prompt fusion feature request; related to prompts but not the same change." + }, + { + "left": "issue:4708", + "right": "issue:5300", + "accept": false, + "reason": "`diffusers.utils` import error vs internet connectivity behavior; distinct issues." + }, + { + "left": "issue:5977", + "right": "issue:6958", + "accept": false, + "reason": "Saving extra `unet.unet` keys in LoRA training vs `use_linear_projection` missing in motion model mid-block; different model/training bugs." + }, + { + "left": "issue:6196", + "right": "issue:9495", + "accept": false, + "reason": "ControlNetXS Depth SDXL load error vs SDXL PAG/IPAdapter failure; both SDXL-related but different components and symptoms." + }, + { + "left": "issue:7985", + "right": "issue:9336", + "accept": false, + "reason": "Torch.compile incompatibility vs IPAdapter attention parameters requiring grad; different compatibility/gradient issues." + }, + { + "left": "issue:6336", + "right": "issue:7378", + "accept": false, + "reason": "TensorRT VAE compilation error with AutoencoderTiny vs AnimateDiff video memory usage; unrelated code paths." + }, + { + "left": "issue:5619", + "right": "issue:9350", + "accept": false, + "reason": "AutoencoderTiny/LCM img2img encoding bug vs txt_ids shape deprecation warning; both touch inputs but not the same defect." + }, + { + "left": "issue:1750", + "right": "issue:2578", + "accept": false, + "reason": "Debian VM symbol error vs editable install failure; unrelated environment/setup problems." + }, + { + "left": "issue:5645", + "right": "issue:6275", + "accept": false, + "reason": "New LCM support broken vs T2I-Adapter model coverage gap; different feature areas." + }, + { + "left": "issue:2272", + "right": "issue:6323", + "accept": false, + "reason": "ONNX conversion failure vs TensorRT guidance_scale attribute error; different pipelines and bugs." + }, + { + "left": "issue:5661", + "right": "issue:9034", + "accept": false, + "reason": "Missing `PreTrainedTokenizer` import vs extra `sentencepiece` requirement; unrelated dependency/import issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 332, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1037", + "issue:10569", + "issue:10901", + "issue:11422", + "issue:1814", + "issue:2774", + "issue:2782", + "issue:2822", + "issue:2858", + "issue:3418", + "issue:3808", + "issue:4176", + "issue:4194", + "issue:4222", + "issue:4297", + "issue:4375", + "issue:4578", + "issue:4756", + "issue:4888", + "issue:4912", + "issue:5233", + "issue:5339", + "issue:5447", + "issue:5449", + "issue:5510", + "issue:5824", + "issue:5924", + "issue:6054", + "issue:6218", + "issue:6354", + "issue:6791", + "issue:699", + "issue:7168", + "issue:7421", + "issue:7519", + "issue:7629", + "issue:7770", + "issue:7848", + "issue:7946", + "issue:8518", + "issue:8589", + "issue:8609", + "issue:8879", + "issue:9309", + "issue:9398", + "issue:9511", + "issue:9813", + "issue:988" + ], + "soft_pairs": [ + "issue:9309|issue:9398", + "issue:7168|issue:9813", + "issue:4375|issue:8518", + "issue:2774|issue:4888", + "issue:4297|issue:6218", + "issue:5233|issue:5824", + "issue:5447|issue:7848", + "issue:7629|issue:8609", + "issue:6054|issue:8879", + "issue:1037|issue:699", + "issue:4176|issue:4912", + "issue:5510|issue:5924", + "issue:7421|issue:7946", + "issue:11422|issue:8589", + "issue:5449|issue:6791", + "issue:10569|issue:10901", + "issue:1814|issue:2782", + "issue:2822|issue:988", + "issue:2858|issue:4222", + "issue:3418|issue:4756", + "issue:3808|issue:7770", + "issue:4194|issue:5339", + "issue:4578|issue:7519", + "issue:6354|issue:9511" + ], + "prepared_review_unit_hash": "616f1fc2fc127ee84f260c7c1805a587f8f20b83febc16b5e25982685340f1a2", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33933, + "estimated_input_tokens": 8484, + "estimated_eval_tokens": 17224 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a grab-bag of unrelated Diffusers issues and feature requests across different models, pipelines, schedulers, and training paths. None of the suggested soft pairs look like the same underlying bug or change, so all soft edges should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue fits: the items span unrelated feature requests and bugs rather than a duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue is suitable because there is no coherent duplicate group to canonicalize.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9309", + "right": "issue:9398", + "accept": false, + "reason": "Different concrete failures: FluxControlNetPipeline bug on FLUX schnell vs a missing pooled_projection argument in CombinedTimestepGuidanceTextProjEmbeddings." + }, + { + "left": "issue:7168", + "right": "issue:9813", + "accept": false, + "reason": "Both involve IP-Adapter embeddings, but one is a 4D tensor shape problem and the other is feature mixing during batch processing; not the same bug." + }, + { + "left": "issue:4375", + "right": "issue:8518", + "accept": false, + "reason": "Both mention torch.compile, but one is a generic inference crash and the other is a specific SD3 dynamo unsupported call_function error." + }, + { + "left": "issue:2774", + "right": "issue:4888", + "accept": false, + "reason": "ControlNet safetensors conversion is unrelated to offline loading of local safetensors." + }, + { + "left": "issue:4297", + "right": "issue:6218", + "accept": false, + "reason": "Both are batching-related, but one reports img2img artifacts while the other is batched seed handling in ControlNet/img2img." + }, + { + "left": "issue:5233", + "right": "issue:5824", + "accept": false, + "reason": "A wrong callback step value is unrelated to the text_encoder_projection_dim default in get_add_time_ids()." + }, + { + "left": "issue:5447", + "right": "issue:7848", + "accept": false, + "reason": "Denoising_start with 2nd-order schedulers is a different bug from lpw_stable_diffusion_xl decoding issues." + }, + { + "left": "issue:7629", + "right": "issue:8609", + "accept": false, + "reason": "PyTorch 1.13.1 VAE OOM is unrelated to hd_painter IP-Adapter integration failure." + }, + { + "left": "issue:6054", + "right": "issue:8879", + "accept": false, + "reason": "EulerDiscreteScheduler torch.from_numpy misuse and torch.compile+cudagraph failure in SDXL are different code-path problems." + }, + { + "left": "issue:1037", + "right": "issue:699", + "accept": false, + "reason": "These are separate feature requests: adding Stable Diffusion Telephone vs adding negative prompt support." + }, + { + "left": "issue:4176", + "right": "issue:4912", + "accept": false, + "reason": "Mandatory authentication and offline CivitAI checkpoint conversion are unrelated requests." + }, + { + "left": "issue:5510", + "right": "issue:5924", + "accept": false, + "reason": "One is a dtype mismatch in SDXL InstructPix2Pix; the other is a VAE memory spike." + }, + { + "left": "issue:7421", + "right": "issue:7946", + "accept": false, + "reason": "Seed handling in StableDiffusionXLKDiffusionPipeline is unrelated to custom_pipeline caching." + }, + { + "left": "issue:11422", + "right": "issue:8589", + "accept": false, + "reason": "Both are training bugs, but on different models and paths: HiDream LoRA validation prompt crash vs SD3 DreamBooth prior preservation." + }, + { + "left": "issue:5449", + "right": "issue:6791", + "accept": false, + "reason": "Pickling a local preprocess function is a different training failure from train_text_to_image_sdxl not running." + }, + { + "left": "issue:10569", + "right": "issue:10901", + "accept": false, + "reason": "Same model family, but different bugs: CPU memory consumption vs wrong video generation with negative_prompt." + }, + { + "left": "issue:1814", + "right": "issue:2782", + "accept": false, + "reason": "Changing CLIP model support is unrelated to a sequential model offloading error." + }, + { + "left": "issue:2822", + "right": "issue:988", + "accept": false, + "reason": "Slow ControlNet convergence and FSDP example training support are unrelated training concerns." + }, + { + "left": "issue:2858", + "right": "issue:4222", + "accept": false, + "reason": "Seeding an image in unCLIP img2img is unrelated to training on low-resolution datasets." + }, + { + "left": "issue:3418", + "right": "issue:4756", + "accept": false, + "reason": "Adding text-encoder training in LoRA script and adding style/example support for SDXL DreamBooth are different changes." + }, + { + "left": "issue:3808", + "right": "issue:7770", + "accept": false, + "reason": "DeepFloyd IF stage-2 training failure is unrelated to model/LoRA tensor shape mismatch when loading." + }, + { + "left": "issue:4194", + "right": "issue:5339", + "accept": false, + "reason": "A docs bug about VAE usage is unrelated to loading a local safetensors file." + }, + { + "left": "issue:4578", + "right": "issue:7519", + "accept": false, + "reason": "Documentation wording about VAE is unrelated to xFormersAttnProcessor ignoring cross_attention_kwargs['scale']." + }, + { + "left": "issue:6354", + "right": "issue:9511", + "accept": false, + "reason": "LoRA support for ControlNet is a feature request; multi-ControlNet batching for inpaint is a different feature request." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 333, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10100", + "issue:10194", + "issue:10427", + "issue:10512", + "issue:1084", + "issue:11109", + "issue:11144", + "issue:12308", + "issue:12505", + "issue:12695", + "issue:2228", + "issue:2459", + "issue:2722", + "issue:2783", + "issue:2785", + "issue:3570", + "issue:3740", + "issue:4236", + "issue:4314", + "issue:4615", + "issue:4675", + "issue:4922", + "issue:4969", + "issue:5110", + "issue:5628", + "issue:5963", + "issue:6176", + "issue:6256", + "issue:6393", + "issue:6560", + "issue:6593", + "issue:7053", + "issue:7312", + "issue:7982", + "issue:843", + "issue:8451", + "issue:8801", + "issue:8834", + "issue:8871", + "issue:9038", + "issue:9052", + "issue:9332", + "issue:9628", + "issue:9648", + "issue:9804", + "issue:9930", + "issue:9941", + "issue:9958" + ], + "soft_pairs": [ + "issue:9052|issue:9332", + "issue:8871|issue:9930", + "issue:5110|issue:6593", + "issue:6176|issue:9941", + "issue:10512|issue:11109", + "issue:2783|issue:4675", + "issue:4922|issue:8834", + "issue:4969|issue:8451", + "issue:7053|issue:9038", + "issue:7312|issue:9958", + "issue:2228|issue:5628", + "issue:5963|issue:9648", + "issue:4314|issue:6393", + "issue:11144|issue:7982", + "issue:2459|issue:2722", + "issue:6560|issue:9628", + "issue:10100|issue:8801", + "issue:10194|issue:12695", + "issue:10427|issue:12308", + "issue:1084|issue:843", + "issue:12505|issue:9804", + "issue:2785|issue:6256", + "issue:3570|issue:4615", + "issue:3740|issue:4236" + ], + "prepared_review_unit_hash": "06b0aaddaa1769cee1493c4750200edc6d792fbda253ef155c8f87287b1d0c61", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33586, + "estimated_input_tokens": 8397, + "estimated_eval_tokens": 17050 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No duplicate cluster here: the items only share broad topical language (support, loading, LoRA, pipelines) but describe different concrete bugs and feature requests. All soft-edge pairs should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue: these are disparate support requests and bugs across different models, pipelines, and subsystems.", + "canonical_pr_reason": "No PRs are present in this cluster.", + "best_issue_reason": "If a representative issue is needed, issue:9332 is the strongest broad bug report, but the set is too heterogeneous for a true global representative.", + "best_pr_reason": "No PRs are present, so there is no best PR candidate.", + "soft_edge_verdicts": [ + { + "left": "issue:9052", + "right": "issue:9332", + "accept": false, + "reason": "Both concern model loading, but one is from_single_file checkpoint parsing and the other is from_pretrained loading the wrong weights; different bugs." + }, + { + "left": "issue:8871", + "right": "issue:9930", + "accept": false, + "reason": "LoRA training FP16 unscale error is unrelated to PAG adaptive scale behavior." + }, + { + "left": "issue:5110", + "right": "issue:6593", + "accept": false, + "reason": "HFValidationError on repo IDs is unrelated to enabling load_lora_weights on SDXL img2img." + }, + { + "left": "issue:6176", + "right": "issue:9941", + "accept": false, + "reason": "Dreambooth LoRA weight loading and a Colab runtime error are different failure modes." + }, + { + "left": "issue:10512", + "right": "issue:11109", + "accept": false, + "reason": "Flux LoRA loading and depth LoRA transformer-layer mismatch are distinct issues in different model paths." + }, + { + "left": "issue:2783", + "right": "issue:4675", + "accept": false, + "reason": "ControlNet img2img/inpainting pipeline creation is not the same as SDXL reference-only support." + }, + { + "left": "issue:4922", + "right": "issue:8834", + "accept": false, + "reason": "Android demo request and SD3 ControlNet training code release are unrelated feature requests." + }, + { + "left": "issue:4969", + "right": "issue:8451", + "accept": false, + "reason": "CrossAttention import error is not the same as missing training details / SD1.x script documentation." + }, + { + "left": "issue:7053", + "right": "issue:9038", + "accept": false, + "reason": "UNet3D class conditioning support and Flax prompt weighting are different feature gaps." + }, + { + "left": "issue:7312", + "right": "issue:9958", + "accept": false, + "reason": "AlignProp direct reward finetuning and AutoencoderKLTemporalDecoder tiling are unrelated enhancements." + }, + { + "left": "issue:2228", + "right": "issue:5628", + "accept": false, + "reason": "GPU loading of StableDiffusionPipeline and LMS scheduler denoising offset are different bugs." + }, + { + "left": "issue:5963", + "right": "issue:9648", + "accept": false, + "reason": "Kandinsky 3.0 embeds-vs-prompts failure is unrelated to VAE tiling memory overflow." + }, + { + "left": "issue:4314", + "right": "issue:6393", + "accept": false, + "reason": "Interrupted download write-protection and private HF link loading are separate download-related problems." + }, + { + "left": "issue:11144", + "right": "issue:7982", + "accept": false, + "reason": "Flax dtype initialization and from_pipe with MultiControlNetModel are unrelated code paths." + }, + { + "left": "issue:2459", + "right": "issue:2722", + "accept": false, + "reason": "xformers attention in a training script and ControlNet conversion mismatch are not the same bug." + }, + { + "left": "issue:6560", + "right": "issue:9628", + "accept": false, + "reason": "LoRA shape regression and SD3 LoRA FP16 unscale error are different training failures." + }, + { + "left": "issue:10100", + "right": "issue:8801", + "accept": false, + "reason": "ConsisID support and Kolors support are separate model-feature requests." + }, + { + "left": "issue:10194", + "right": "issue:12695", + "accept": false, + "reason": "Flux attention masking and Hunyuan v1.5 support are different feature requests." + }, + { + "left": "issue:10427", + "right": "issue:12308", + "accept": false, + "reason": "AuraFlow GGUF loading and flash-attn on non-Hopper GPUs are unrelated support issues." + }, + { + "left": "issue:1084", + "right": "issue:843", + "accept": false, + "reason": "Documentation about pipeline weight reuse and prompt syntax docs are distinct documentation topics." + }, + { + "left": "issue:12505", + "right": "issue:9804", + "accept": false, + "reason": "tgate img2img error and local SDXL ControlNet loading failure are different bugs." + }, + { + "left": "issue:2785", + "right": "issue:6256", + "accept": false, + "reason": "M1/M2 text-to-video support and callback_on_step_begin are separate API/feature requests." + }, + { + "left": "issue:3570", + "right": "issue:4615", + "accept": false, + "reason": "Disabling checkpoint downloads and a ControlNet import error are unrelated." + }, + { + "left": "issue:3740", + "right": "issue:4236", + "accept": false, + "reason": "Accelerate sequential device_map conversion and SDXL refiner text encoder registration are different issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 334, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10381", + "issue:10446", + "issue:10893", + "issue:10954", + "issue:11032", + "issue:11644", + "issue:11700", + "issue:11828", + "issue:11830", + "issue:12437", + "issue:13105", + "issue:13203", + "issue:1407", + "issue:1546", + "issue:1566", + "issue:1677", + "issue:2560", + "issue:2659", + "issue:2716", + "issue:2772", + "issue:3296", + "issue:3381", + "issue:3428", + "issue:3551", + "issue:4073", + "issue:4349", + "issue:4446", + "issue:4484", + "issue:4488", + "issue:4977", + "issue:5325", + "issue:5399", + "issue:5485", + "issue:5628", + "issue:5693", + "issue:5710", + "issue:6154", + "issue:746", + "issue:7498", + "issue:7548", + "issue:8228", + "issue:8405", + "issue:8450", + "issue:8514", + "issue:8832", + "issue:9223", + "issue:9476" + ], + "soft_pairs": [ + "issue:1566|issue:3296", + "issue:2772|issue:4349", + "issue:3381|issue:5399", + "issue:10954|issue:13203", + "issue:11644|issue:8514", + "issue:11830|issue:13105", + "issue:1407|issue:1546", + "issue:2716|issue:5693", + "issue:4073|issue:8405", + "issue:6154|issue:7498", + "issue:1677|issue:5325", + "issue:2560|issue:3551", + "issue:4488|issue:4977", + "issue:5628|issue:5710", + "issue:7548|issue:8832", + "issue:3428|issue:746", + "issue:4446|issue:8228", + "issue:11828|issue:9223", + "issue:2659|issue:5485", + "issue:4484|issue:8450", + "issue:10381|issue:10446", + "issue:10893|issue:11700", + "issue:11032|issue:12437", + "issue:11828|issue:9476" + ], + "prepared_review_unit_hash": "af5030a4cf8950addcc323a948805cbe50097a68d54c18568fba7dbc834c08e3", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33577, + "estimated_input_tokens": 8395, + "estimated_eval_tokens": 17046 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are a loose set of mostly unrelated model-loading, inference, LoRA, ControlNet, scheduler, and training issues. None of the soft pairs look like the same concrete bug or change, so I would not merge any of them as duplicates.", + "confidence": 0.89, + "canonical_issue_reason": "No single canonical issue stands out as a true duplicate target; the set is too heterogeneous. If one representative is needed, issue 10381 is the broadest Flux/quantization/LoRA inference-error report, but it does not subsume the others.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10381 is the most broadly representative of the main theme in this cluster: inference-time failures around Flux, quantization, and LoRA. It is still not a strong duplicate hub for the rest of the items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1566", + "right": "issue:3296", + "accept": false, + "reason": "Both mention checkpoint/save-load problems, but one is Dreambooth fp16 output after saving and the other is text_encoder checkpoint loading. Different code paths and failure modes." + }, + { + "left": "issue:2772", + "right": "issue:4349", + "accept": false, + "reason": "Local dataset validation in train_controlnet.py is unrelated to an UpscalePipeline failure when text_encoder is absent despite prompt_embeds being provided." + }, + { + "left": "issue:3381", + "right": "issue:5399", + "accept": false, + "reason": "Both are inference quality/type issues, but the symptoms and triggers differ: discolored batch inpainting output vs a matmul dtype mismatch with a custom inpainting model." + }, + { + "left": "issue:10954", + "right": "issue:13203", + "accept": false, + "reason": "Both involve LoRA, but they are different model families and problems: FLUX1.dev LoRA load failure vs Zimage LoRA support issue." + }, + { + "left": "issue:11644", + "right": "issue:8514", + "accept": false, + "reason": "Init-from-pretrained failure for LTXConditionPipeline is not the same as an EMAModel-related parallel fine-tuning error in InstructP2P." + }, + { + "left": "issue:11830", + "right": "issue:13105", + "accept": false, + "reason": "Both produce bad outputs, but the underlying reports are different models and symptoms: pure black output with fp16 vs noisy output on Wan2.1." + }, + { + "left": "issue:1407", + "right": "issue:1546", + "accept": false, + "reason": "Missing feature_extractor in an ONNX pipeline after a PR is a different bug from truncation warning handling breaking batched StableDiffusionPipeline inputs." + }, + { + "left": "issue:2716", + "right": "issue:5693", + "accept": false, + "reason": "General checkpoint-loading question and VAE load error are not the same underlying issue." + }, + { + "left": "issue:4073", + "right": "issue:8405", + "accept": false, + "reason": "Safety checker astype attribute error is unrelated to tensor-size errors when using multiple ControlNets." + }, + { + "left": "issue:6154", + "right": "issue:7498", + "accept": false, + "reason": "Both are Mac training problems, but one is SDXL LoRA training on M2 and the other is a Dreambooth issue on M3 Max; not the same bug." + }, + { + "left": "issue:1677", + "right": "issue:5325", + "accept": false, + "reason": "Wrong data type when calling StableDiffusionPipeline is unrelated to distributed packaging type information." + }, + { + "left": "issue:2560", + "right": "issue:3551", + "accept": false, + "reason": "Non-deterministic img2img outputs with a list of generators are a different issue from LoRA disabling xFormers." + }, + { + "left": "issue:4488", + "right": "issue:4977", + "accept": false, + "reason": "SDXL checkpoint loading without pipeline_class and checkpoint cleanup in train_unconditional.py are unrelated." + }, + { + "left": "issue:5628", + "right": "issue:5710", + "accept": false, + "reason": "Both touch schedulers, but one is denoising_start/end offset behavior with Karras sigmas and the other is missing self.sigmas during initialization." + }, + { + "left": "issue:7548", + "right": "issue:8832", + "accept": false, + "reason": "AnimateDiff flicker and a crash on pipe(prompt).images[0] are different symptoms with no clear shared code-path." + }, + { + "left": "issue:3428", + "right": "issue:746", + "accept": false, + "reason": "Unexpected img2img output changes and ONNX revision loading failure do not describe the same bug." + }, + { + "left": "issue:4446", + "right": "issue:8228", + "accept": false, + "reason": "Custom text_encoder support in from_single_file and a CLIPTextModel load regression are related areas but not the same concrete issue." + }, + { + "left": "issue:11828", + "right": "issue:9223", + "accept": false, + "reason": "A float-type requirement for ControlNet scaling parameters is unrelated to a pyarrow dependency conflict." + }, + { + "left": "issue:2659", + "right": "issue:5485", + "accept": false, + "reason": "Batch-size-dependent output variation and slow ControlNet batch inference are different problems." + }, + { + "left": "issue:4484", + "right": "issue:8450", + "accept": false, + "reason": "SDXL Kohya LoRA weird results and SDXL inpainting noise at strength 1.0 are both quality issues, but they are not the same underlying bug." + }, + { + "left": "issue:10381", + "right": "issue:10446", + "accept": false, + "reason": "Both mention Flux, but one is an inference/quantization/LoRA error and the other is multi-GPU/model-sharding incompatibility with FluxControlNetPipeline." + }, + { + "left": "issue:10893", + "right": "issue:11700", + "accept": false, + "reason": "Feature request for CogVideoX ControlNet integration is unrelated to adding pruna integration for loading models." + }, + { + "left": "issue:11032", + "right": "issue:12437", + "accept": false, + "reason": "TRT backend support and OmniSVG support are separate feature requests with no shared implementation bug." + }, + { + "left": "issue:11828", + "right": "issue:9476", + "accept": false, + "reason": "Both are FLUX-adjacent, but one is a ControlNet parameter type issue and the other is a training-time dtype mismatch in train_dreambooth_lora_flux." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 335, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10428", + "issue:11092", + "issue:11872", + "issue:12574", + "issue:1655", + "issue:1842", + "issue:1851", + "issue:1896", + "issue:2410", + "issue:2444", + "issue:2784", + "issue:3175", + "issue:3431", + "issue:3455", + "issue:3679", + "issue:3944", + "issue:3974", + "issue:4232", + "issue:4405", + "issue:4649", + "issue:4672", + "issue:4803", + "issue:4972", + "issue:5009", + "issue:5372", + "issue:5392", + "issue:5510", + "issue:5518", + "issue:557", + "issue:5926", + "issue:6050", + "issue:617", + "issue:6335", + "issue:6441", + "issue:6685", + "issue:713", + "issue:7177", + "issue:7210", + "issue:7456", + "issue:7658", + "issue:8434", + "issue:8507", + "issue:8708", + "issue:9067", + "issue:9398", + "issue:9933", + "issue:9972" + ], + "soft_pairs": [ + "issue:1655|issue:617", + "issue:2410|issue:2444", + "issue:2784|issue:3974", + "issue:3455|issue:4405", + "issue:3679|issue:5926", + "issue:3944|issue:4672", + "issue:4232|issue:5392", + "issue:4649|issue:5510", + "issue:4803|issue:6050", + "issue:5518|issue:9067", + "issue:6335|issue:9933", + "issue:6441|issue:7177", + "issue:6685|issue:8708", + "issue:7456|issue:9398", + "issue:7658|issue:8434", + "issue:8507|issue:9972", + "issue:1896|issue:4972", + "issue:2444|issue:713", + "issue:3431|issue:557", + "issue:1842|issue:5009", + "issue:11872|issue:12574", + "issue:1851|issue:3175", + "issue:5372|issue:7210", + "issue:10428|issue:11092" + ], + "prepared_review_unit_hash": "90fba71dfabc0e60100b977b0755204603ff43ee3c37d6b7bdb4f26803989758", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33417, + "estimated_input_tokens": 8355, + "estimated_eval_tokens": 16966 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft pairs are mostly unrelated issues across different pipelines, errors, and features. None look like true duplicates or the same underlying fix/change, so all candidate merges should be rejected.", + "confidence": 0.97, + "canonical_issue_reason": "No canonical issue stands out: the items span many distinct bugs and feature requests, so there is no single issue that subsumes the rest.", + "canonical_pr_reason": "No PRs are present in this cluster.", + "best_issue_reason": "No issue is a good global representative because the candidate pairs are not one coherent problem set.", + "best_pr_reason": "No PRs are present, so there is no best PR candidate.", + "soft_edge_verdicts": [ + { + "left": "issue:1655", + "right": "issue:617", + "accept": false, + "reason": "Different problems: one is pipeline initialization, the other is an NNPACK hardware warning in AutoencoderKL." + }, + { + "left": "issue:2410", + "right": "issue:2444", + "accept": false, + "reason": "Different training-script failures with different symptoms and scripts; not the same bug." + }, + { + "left": "issue:2784", + "right": "issue:3974", + "accept": false, + "reason": "A feature request for text2video Dreambooth is unrelated to ControlNet safetensors support." + }, + { + "left": "issue:3455", + "right": "issue:4405", + "accept": false, + "reason": "Training instruct-pix2pix and creating an SDXL textual inversion script are separate requests." + }, + { + "left": "issue:3679", + "right": "issue:5926", + "accept": false, + "reason": "New text2video models and Kandinsky 3.0 are different model announcements, not duplicates." + }, + { + "left": "issue:3944", + "right": "issue:4672", + "accept": false, + "reason": "Both mention LoRA, but one is about network rank customization and the other about reducing VRAM; different changes." + }, + { + "left": "issue:4232", + "right": "issue:5392", + "accept": false, + "reason": "Instruct-pix2pix with controlnet condition is unrelated to unconditional latent diffusion training." + }, + { + "left": "issue:4649", + "right": "issue:5510", + "accept": false, + "reason": "Different runtime errors in different SDXL pipelines and code paths." + }, + { + "left": "issue:4803", + "right": "issue:6050", + "accept": false, + "reason": "A missing requirements-file error is not the same as a pip install subprocess failure." + }, + { + "left": "issue:5518", + "right": "issue:9067", + "accept": false, + "reason": "A LoRA model attribute error and a missing module import are unrelated failures." + }, + { + "left": "issue:6335", + "right": "issue:9933", + "accept": false, + "reason": "Both concern image-size-related parameters, but they affect different pipelines and have different API gaps; not the same concrete bug." + }, + { + "left": "issue:6441", + "right": "issue:7177", + "accept": false, + "reason": "A Colab from_pretrained issue is not the same as a StableCascadeDecoderPipeline.from_pretrained error." + }, + { + "left": "issue:6685", + "right": "issue:8708", + "accept": false, + "reason": "Output directory path handling and a missing SD3 shift_factor are unrelated training-example issues." + }, + { + "left": "issue:7456", + "right": "issue:9398", + "accept": false, + "reason": "A missing raise statement is unrelated to a missing pooled_projection argument in a model forward method." + }, + { + "left": "issue:7658", + "right": "issue:8434", + "accept": false, + "reason": "General multiple-conditioning support is broader than adding multiple control nets; not the same change." + }, + { + "left": "issue:8507", + "right": "issue:9972", + "accept": false, + "reason": "An SD3 Dreambooth training failure is unrelated to a CogX MacOS buffer allocation issue." + }, + { + "left": "issue:1896", + "right": "issue:4972", + "accept": false, + "reason": "A CLIP-guided SD size-type error and a Wuerstchen example failure are different bugs." + }, + { + "left": "issue:2444", + "right": "issue:713", + "accept": false, + "reason": "Both are generic training errors, but they refer to different scripts and failure modes." + }, + { + "left": "issue:3431", + "right": "issue:557", + "accept": false, + "reason": "Poor ControlNet inpainting results are not the same as DDIM quality comparison results." + }, + { + "left": "issue:1842", + "right": "issue:5009", + "accept": false, + "reason": "Unexpected eta keyword argument and a Wuerstchen error are different issues." + }, + { + "left": "issue:11872", + "right": "issue:12574", + "accept": false, + "reason": "CPU/GPU offloading inefficiency is unrelated to missing VACE control-argument handling." + }, + { + "left": "issue:1851", + "right": "issue:3175", + "accept": false, + "reason": "Dreambooth multi-GPU slowness and multi-face training are different topics." + }, + { + "left": "issue:5372", + "right": "issue:7210", + "accept": false, + "reason": "A safety_checker usage question is unrelated to an accelerate named_parameters attribute error." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 336, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10039", + "issue:10186", + "issue:10350", + "issue:1101", + "issue:11424", + "issue:1158", + "issue:11581", + "issue:11833", + "issue:12436", + "issue:12610", + "issue:13140", + "issue:13298", + "issue:1695", + "issue:1807", + "issue:2507", + "issue:2554", + "issue:2799", + "issue:341", + "issue:3740", + "issue:3887", + "issue:3967", + "issue:4356", + "issue:4598", + "issue:4789", + "issue:488", + "issue:5152", + "issue:5523", + "issue:5570", + "issue:5951", + "issue:5977", + "issue:6068", + "issue:6158", + "issue:6196", + "issue:6392", + "issue:6869", + "issue:7312", + "issue:782", + "issue:8477", + "issue:8551", + "issue:8707", + "issue:8708", + "issue:8805", + "issue:8826", + "issue:8958", + "issue:8994", + "issue:9052", + "issue:9602", + "issue:9856" + ], + "soft_pairs": [ + "issue:2799|issue:488", + "issue:1158|issue:5523", + "issue:4789|issue:782", + "issue:12610|issue:13298", + "issue:6068|issue:6196", + "issue:2554|issue:3740", + "issue:5152|issue:6869", + "issue:10186|issue:11581", + "issue:1807|issue:2507", + "issue:4598|issue:5570", + "issue:1695|issue:5951", + "issue:3887|issue:3967", + "issue:5977|issue:8708", + "issue:6158|issue:7312", + "issue:6392|issue:9052", + "issue:10350|issue:8551", + "issue:4356|issue:8994", + "issue:12436|issue:13140", + "issue:8477|issue:8707", + "issue:9602|issue:9856", + "issue:8826|issue:8958", + "issue:11424|issue:11833", + "issue:10039|issue:8805", + "issue:1101|issue:341" + ], + "prepared_review_unit_hash": "551d07dd268346c90480a987b1cafde8378c8e1aa90dabd21d3985c7e74393df", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34211, + "estimated_input_tokens": 8553, + "estimated_eval_tokens": 17362 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All candidate pairs look like loose topic similarity, not the same underlying bug/change. I rejected every soft edge; no reliable canonical issue/PR emerges from this set.", + "confidence": 0.23, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2799", + "right": "issue:488", + "accept": false, + "reason": "Both mention pipeline behavior, but one is checkpoint/pipeline mismatch validation and the other is grayscale image conversion." + }, + { + "left": "issue:1158", + "right": "issue:5523", + "accept": false, + "reason": "Both are flaky/test consistency themed, but one is test interference and the other is generation inconsistency; not the same bug." + }, + { + "left": "issue:4789", + "right": "issue:782", + "accept": false, + "reason": "Both concern downloads, but one is DeepFloyd IF download failures and the other is a token-auth regression for model downloads." + }, + { + "left": "issue:12610", + "right": "issue:13298", + "accept": false, + "reason": "Both involve device mismatch, but they point to different code paths and different triggering conditions." + }, + { + "left": "issue:6068", + "right": "issue:6196", + "accept": false, + "reason": "SDXL appears in both, but DDIM sampling errors and ControlNetXS loading errors are distinct issues." + }, + { + "left": "issue:2554", + "right": "issue:3740", + "accept": false, + "reason": "Both touch accelerate/device mapping, but one is an unreleased-version dependency problem and the other is legacy attention conversion under sequential device_map." + }, + { + "left": "issue:5152", + "right": "issue:6869", + "accept": false, + "reason": "W\u00fcrstchen alpha bug and video export tensor unpacking error are unrelated." + }, + { + "left": "issue:10186", + "right": "issue:11581", + "accept": false, + "reason": "Both are FLUX-related, but one is an import error for a pipeline class and the other is an IP-Adapter init signature mismatch." + }, + { + "left": "issue:1807", + "right": "issue:2507", + "accept": false, + "reason": "Both are performance complaints, but one is repeated inference slowdown and the other is safetensors load speed on GPU vs CPU." + }, + { + "left": "issue:4598", + "right": "issue:5570", + "accept": false, + "reason": "Missing-dependency error messaging and missing compute_snr symbol are different problems." + }, + { + "left": "issue:1695", + "right": "issue:5951", + "accept": false, + "reason": "Different training workflows and failure modes; deepspeed multi-GPU DreamBooth is not PixArt training." + }, + { + "left": "issue:3887", + "right": "issue:3967", + "accept": false, + "reason": "Both mention SD/SDXL behavior changes, but one is output quality difference and the other is a branch-related breakage." + }, + { + "left": "issue:5977", + "right": "issue:8708", + "accept": false, + "reason": "Training-related, but one is LoRA key saving and the other is missing SD3 VAE shift_factor in examples." + }, + { + "left": "issue:6158", + "right": "issue:7312", + "accept": false, + "reason": "Feature requests in different areas: Animatediff SDXL support vs AlignProp reward finetuning." + }, + { + "left": "issue:6392", + "right": "issue:9052", + "accept": false, + "reason": "Both are loading failures, but custom LoRA loading and single-file checkpoint conversion are distinct code paths." + }, + { + "left": "issue:10350", + "right": "issue:8551", + "accept": false, + "reason": "Both involve VAE, but memory consumption in decode and incorrect device placement with device_map are different bugs." + }, + { + "left": "issue:4356", + "right": "issue:8994", + "accept": false, + "reason": "Module import failure and generation steps stuck at zero are unrelated." + }, + { + "left": "issue:12436", + "right": "issue:13140", + "accept": false, + "reason": "Different model families and failures: CLIPTextModel init kwargs vs Qwen Edit pipeline NoneType handling." + }, + { + "left": "issue:8477", + "right": "issue:8707", + "accept": false, + "reason": "Both are training errors, but DDP consistency-training failure and SDXL text-to-image training error are not the same issue." + }, + { + "left": "issue:9602", + "right": "issue:9856", + "accept": false, + "reason": "Adapter registration error and distributed port conflict are unrelated." + }, + { + "left": "issue:8826", + "right": "issue:8958", + "accept": false, + "reason": "Tensor-cat empty-list runtime error and torch.register_fake missing attribute are unrelated." + }, + { + "left": "issue:11424", + "right": "issue:11833", + "accept": false, + "reason": "VAE decode group_norm/device issues and LoRA device KeyError are different concrete bugs." + }, + { + "left": "issue:10039", + "right": "issue:8805", + "accept": false, + "reason": "The converter failure is too broad to equate with the specific missing output_sample_size bug in AttnUpBlock2D." + }, + { + "left": "issue:1101", + "right": "issue:341", + "accept": false, + "reason": "Both are scheduler feature requests, but DPM-Solver and K-LMS in-paint are separate changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 337, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10282", + "issue:10591", + "issue:11302", + "issue:11329", + "issue:1140", + "issue:11436", + "issue:11489", + "issue:1197", + "issue:2044", + "issue:2052", + "issue:2596", + "issue:3300", + "issue:3593", + "issue:3880", + "issue:3944", + "issue:4183", + "issue:4403", + "issue:4419", + "issue:4692", + "issue:4835", + "issue:4876", + "issue:5079", + "issue:5109", + "issue:5124", + "issue:5224", + "issue:5335", + "issue:5897", + "issue:5954", + "issue:6087", + "issue:6517", + "issue:6709", + "issue:6725", + "issue:6732", + "issue:6812", + "issue:7142", + "issue:7264", + "issue:7312", + "issue:7562", + "issue:7572", + "issue:7651", + "issue:7682", + "issue:8451", + "issue:8532", + "issue:8551", + "issue:8780", + "issue:8939", + "issue:9090", + "issue:9844" + ], + "soft_pairs": [ + "issue:1140|issue:1197", + "issue:3880|issue:6087", + "issue:3944|issue:4876", + "issue:4183|issue:6725", + "issue:4419|issue:6732", + "issue:4692|issue:7682", + "issue:5079|issue:7312", + "issue:5897|issue:6812", + "issue:11489|issue:8939", + "issue:11329|issue:8532", + "issue:2044|issue:5335", + "issue:2596|issue:3300", + "issue:7264|issue:8780", + "issue:5224|issue:6709", + "issue:4835|issue:5109", + "issue:5954|issue:7142", + "issue:7651|issue:9090", + "issue:4403|issue:7572", + "issue:10282|issue:6517", + "issue:11302|issue:11436", + "issue:2052|issue:5124", + "issue:8551|issue:9844", + "issue:3593|issue:7562", + "issue:10591|issue:8451" + ], + "prepared_review_unit_hash": "e12a7fb04af581d4285a2e969b6c585f01c375f263834582fbb86542bc5e503b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34256, + "estimated_input_tokens": 8564, + "estimated_eval_tokens": 17384 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: most items describe unrelated bugs/features across different pipelines, training scripts, and inference errors. None of the soft pairs look like the same underlying issue or change, so I would not collapse any of them.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1140", + "right": "issue:1197", + "accept": false, + "reason": "Different feature requests for different community pipelines; no shared bug/change." + }, + { + "left": "issue:3880", + "right": "issue:6087", + "accept": false, + "reason": "Inpainting quality issue vs LoRA save/load metadata bug; unrelated failure modes." + }, + { + "left": "issue:3944", + "right": "issue:4876", + "accept": false, + "reason": "Training rank customization request vs LoRA layer std argument request; related area but not the same change." + }, + { + "left": "issue:4183", + "right": "issue:6725", + "accept": false, + "reason": "ControlNet guidance_scale error vs LDMPipeline generation request; different code paths and symptoms." + }, + { + "left": "issue:4419", + "right": "issue:6732", + "accept": false, + "reason": "SDXL offset-noise inference mismatch vs scheduler documentation only." + }, + { + "left": "issue:4692", + "right": "issue:7682", + "accept": false, + "reason": "General UNet memory concern vs multi-GPU runtime issue; too broad and not the same bug." + }, + { + "left": "issue:5079", + "right": "issue:7312", + "accept": false, + "reason": "LoRA weight-loading support request vs direct reward finetuning support; different features." + }, + { + "left": "issue:5897", + "right": "issue:6812", + "accept": false, + "reason": "Device mismatch in LoRA training vs Q/K/V dtype mismatch in LoRA training; similar theme but distinct error sources." + }, + { + "left": "issue:11489", + "right": "issue:8939", + "accept": false, + "reason": "Flux LoRA training error vs SD3 tokenizer loading error; unrelated model/setup failures." + }, + { + "left": "issue:11329", + "right": "issue:8532", + "accept": false, + "reason": "bitsandbytes 8bit memory leak vs progressive memory increase loading LoRA weights; different subsystems and symptoms." + }, + { + "left": "issue:2044", + "right": "issue:5335", + "accept": false, + "reason": "DDP dtype attribute error vs local deployment/network access question; unrelated." + }, + { + "left": "issue:2596", + "right": "issue:3300", + "accept": false, + "reason": "Documentation typo/nonexistent API vs broken HF package availability; not the same issue." + }, + { + "left": "issue:7264", + "right": "issue:8780", + "accept": false, + "reason": "Custom transformers serialization bug vs generic model/input dtype mismatch; different underlying problems." + }, + { + "left": "issue:5224", + "right": "issue:6709", + "accept": false, + "reason": "Flax SD2.1 error vs custom diffusion concept-list training bug; separate training stacks." + }, + { + "left": "issue:4835", + "right": "issue:5109", + "accept": false, + "reason": "MultiControlNet img2img bug vs LoRA loading exception on a specific pipeline; not the same code-path issue." + }, + { + "left": "issue:5954", + "right": "issue:7142", + "accept": false, + "reason": "Kandinsky22 inference error vs SDXL-lightning output mismatch; different pipelines and failure modes." + }, + { + "left": "issue:7651", + "right": "issue:9090", + "accept": false, + "reason": "Img2img timestep calculation bug vs PNDM repeated timestep bug; related scheduler area but not clearly the same defect." + }, + { + "left": "issue:4403", + "right": "issue:7572", + "accept": false, + "reason": "Half precision LayerNorm kernel limitation vs half/float bias mismatch; distinct runtime errors." + }, + { + "left": "issue:10282", + "right": "issue:6517", + "accept": false, + "reason": "Weight shape mismatch for x_embedder vs import failure in SDXL ControlNet module; different model-loading issues." + }, + { + "left": "issue:11302", + "right": "issue:11436", + "accept": false, + "reason": "Quanto quantized save/load problem vs HiDream half/bfloat16 dtype mismatch; unrelated." + }, + { + "left": "issue:2052", + "right": "issue:5124", + "accept": false, + "reason": "Checkpoint resume behavior vs safetensor fine-tuning question; not the same bug." + }, + { + "left": "issue:8551", + "right": "issue:9844", + "accept": false, + "reason": "VAE latent device placement bug vs SDXL VAE encoder NaNs; different VAE failures." + }, + { + "left": "issue:3593", + "right": "issue:7562", + "accept": false, + "reason": "LoRA+xformers second-call failure vs enable_model_cpu_offload with multicontrolnet; different trigger and path." + }, + { + "left": "issue:10591", + "right": "issue:8451", + "accept": false, + "reason": "SD3 LoRA script issue vs missing SD1.x training script/frozen UNet docs; separate training topics." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 338, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10121", + "issue:10895", + "issue:11497", + "issue:11749", + "issue:11938", + "issue:1323", + "issue:13386", + "issue:175", + "issue:181", + "issue:2053", + "issue:2276", + "issue:2294", + "issue:2332", + "issue:2676", + "issue:3029", + "issue:3159", + "issue:3380", + "issue:3441", + "issue:3453", + "issue:3717", + "issue:4292", + "issue:4585", + "issue:4615", + "issue:4709", + "issue:4753", + "issue:4849", + "issue:4872", + "issue:5315", + "issue:5436", + "issue:5799", + "issue:5860", + "issue:6162", + "issue:6634", + "issue:6732", + "issue:6921", + "issue:7009", + "issue:7165", + "issue:7341", + "issue:7365", + "issue:7931", + "issue:8503", + "issue:8534", + "issue:8850", + "issue:8975", + "issue:9051", + "issue:9181", + "issue:9680", + "issue:9822" + ], + "soft_pairs": [ + "issue:10895|issue:7365", + "issue:11938|issue:9051", + "issue:175|issue:3159", + "issue:181|issue:3453", + "issue:2332|issue:2676", + "issue:3380|issue:7165", + "issue:4292|issue:5799", + "issue:4615|issue:9181", + "issue:4709|issue:7931", + "issue:4753|issue:8534", + "issue:5315|issue:6634", + "issue:6732|issue:7341", + "issue:7009|issue:9822", + "issue:10121|issue:6162", + "issue:4585|issue:8975", + "issue:2276|issue:4872", + "issue:11749|issue:13386", + "issue:1323|issue:2294", + "issue:2053|issue:3441", + "issue:5860|issue:8850", + "issue:11497|issue:8503", + "issue:3029|issue:5436", + "issue:3717|issue:4849", + "issue:6921|issue:9680" + ], + "prepared_review_unit_hash": "7474dfd4a4503d762b166e1c5ad93ed99985f3b2d784b541147e90733940149b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33845, + "estimated_input_tokens": 8462, + "estimated_eval_tokens": 17180 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous and the soft edges are topical false positives, not true duplicates. The issues span unrelated pipelines, schedulers, docs, training scripts, and import/runtime errors, so there is no single canonical item.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a good canonical representative; the items do not share one underlying bug or code path.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10895", + "right": "issue:7365", + "accept": false, + "reason": "Deprecations handling vs. pooled_prompt_embeds overwrite are unrelated bugs." + }, + { + "left": "issue:11938", + "right": "issue:9051", + "accept": false, + "reason": "RMSNorm registration and Flux batch inference are different code paths." + }, + { + "left": "issue:175", + "right": "issue:3159", + "accept": false, + "reason": "A training-code seeding question is not the same as a documentation typo." + }, + { + "left": "issue:181", + "right": "issue:3453", + "accept": false, + "reason": "Image-writing failure in train_unconditional.py is unrelated to a BFloat16 matmul issue." + }, + { + "left": "issue:2332", + "right": "issue:2676", + "accept": false, + "reason": "Dreambooth inference errors and scheduler-name support are distinct problems." + }, + { + "left": "issue:3380", + "right": "issue:7165", + "accept": false, + "reason": "Hard-coded embedding size and JAX dynamic-thresholding scale are separate issues." + }, + { + "left": "issue:4292", + "right": "issue:5799", + "accept": false, + "reason": "M1 inpainting crash and the strength keyword argument concern different failures." + }, + { + "left": "issue:4615", + "right": "issue:9181", + "accept": false, + "reason": "ImportError for a pipeline class is not the same as a ControlNet noise artifact." + }, + { + "left": "issue:4709", + "right": "issue:7931", + "accept": false, + "reason": "Guess mode support and IP-Adapter embed handling are different ControlNet bugs." + }, + { + "left": "issue:4753", + "right": "issue:8534", + "accept": false, + "reason": "Dreambooth script trouble and SD3 logit-normal weighting are unrelated training issues." + }, + { + "left": "issue:5315", + "right": "issue:6634", + "accept": false, + "reason": "A generic DDIMInverseScheduler step bug is not clearly the same as the clipped-output parameter issue." + }, + { + "left": "issue:6732", + "right": "issue:7341", + "accept": false, + "reason": "Scheduler documentation and TorchVersion comparison are unrelated." + }, + { + "left": "issue:7009", + "right": "issue:9822", + "accept": false, + "reason": "Poor TextToVideoSDPipeline results and SDXL LoRA loading into Flux are different problems." + }, + { + "left": "issue:10121", + "right": "issue:6162", + "accept": false, + "reason": "Flux high-resolution generation and SDXL IP-Adapter shape mismatch do not share the same bug." + }, + { + "left": "issue:4585", + "right": "issue:8975", + "accept": false, + "reason": "SDXL MultiControlNet documentation inconsistency and a missing loader import are unrelated." + }, + { + "left": "issue:2276", + "right": "issue:4872", + "accept": false, + "reason": "xformers installation failure in Colab is not the same as an SDXL OOM report." + }, + { + "left": "issue:11749", + "right": "issue:13386", + "accept": false, + "reason": "Scheduler timestep floating-point errors and tensor concatenation crashes are different failures." + }, + { + "left": "issue:1323", + "right": "issue:2294", + "accept": false, + "reason": "Flax dtype loading and a missing video inpaint import are unrelated." + }, + { + "left": "issue:2053", + "right": "issue:3441", + "accept": false, + "reason": "General VRAM regression and PyTorch2-without-xformers memory usage are not the same concrete bug." + }, + { + "left": "issue:5860", + "right": "issue:8850", + "accept": false, + "reason": "Tiny Autoencoder/ControlNet pipeline failure and broken community pipeline mirrors are unrelated." + }, + { + "left": "issue:11497", + "right": "issue:8503", + "accept": false, + "reason": "Dataset cache dependency bugs and SD3 gradient-checkpointing crashes are different issues." + }, + { + "left": "issue:3029", + "right": "issue:5436", + "accept": false, + "reason": "ControlNet custom resolution and SDXL training example errors are distinct." + }, + { + "left": "issue:3717", + "right": "issue:4849", + "accept": false, + "reason": "Multi-GPU OOM and how to use multiple GPUs for textual inversion are not the same bug." + }, + { + "left": "issue:6921", + "right": "issue:9680", + "accept": false, + "reason": "SDXL weight mismatch and SDXL unconditional generation failure are separate problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 339, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10054", + "issue:10085", + "issue:10120", + "issue:10150", + "issue:10315", + "issue:10722", + "issue:1080", + "issue:11163", + "issue:11581", + "issue:11657", + "issue:11659", + "issue:1734", + "issue:1988", + "issue:2618", + "issue:2659", + "issue:2851", + "issue:3026", + "issue:3103", + "issue:4139", + "issue:4815", + "issue:4841", + "issue:5270", + "issue:5334", + "issue:5395", + "issue:5557", + "issue:5605", + "issue:5737", + "issue:6091", + "issue:6109", + "issue:617", + "issue:6230", + "issue:6232", + "issue:6335", + "issue:6392", + "issue:6399", + "issue:6482", + "issue:6527", + "issue:6732", + "issue:8323", + "issue:8556", + "issue:8579", + "issue:8615", + "issue:8707", + "issue:8708", + "issue:8989", + "issue:9106", + "issue:9467", + "issue:9664" + ], + "soft_pairs": [ + "issue:8556|issue:8579", + "issue:3103|issue:4815", + "issue:4139|issue:6392", + 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"serialized_chars": 34276, + "estimated_input_tokens": 8569, + "estimated_eval_tokens": 17394 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: the items span unrelated scheduler, training, LoRA, memory, and pipeline bugs. All proposed soft edges are broad text-similarity matches rather than the same concrete underlying defect.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue fits this cluster because the issues describe different subsystems and failure modes; none is a clear duplicate representative.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative; the set is too heterogeneous to justify picking one as the canonical duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8556", + "right": "issue:8579", + "accept": false, + "reason": "Both mention SD3/LoRA-related loading problems, but one is a meta-tensor copy error during from_single_file load and the other is generic SD3 LoRA non-functionality; different failure paths." + }, + { + "left": "issue:3103", + "right": "issue:4815", + "accept": false, + "reason": "Both concern inpainting sizing/inputs, but one is about height/width handling and the other is latents-only support; not the same bug." + }, + { + "left": "issue:4139", + "right": "issue:6392", + "accept": false, + "reason": "One is about precision casting in a custom diffusion attention processor; the other is a custom LoRA load failure. Different code paths and symptoms." + }, + { + "left": "issue:1988", + "right": "issue:617", + "accept": false, + "reason": "One is an fp16/bf16 input vs bias dtype mismatch in a trainer example; the other is an NNPACK hardware warning from AutoencoderKL. Not duplicates." + }, + { + "left": "issue:6109", + "right": "issue:6335", + "accept": false, + "reason": "Both involve ControlNet-related pipelines, but one is a ControlNet-xs depth control discussion and the other is output size control in ControlNetImg2Img. Different issues." + }, + { + "left": "issue:1080", + "right": "issue:5334", + "accept": false, + "reason": "One asks how to run DreamBooth accelerate from Python; the other reports multi-model handling in Accelerate APIs during training. Not the same defect." + }, + { + "left": "issue:2618", + "right": "issue:4841", + "accept": false, + "reason": "One is about tensor image input for ControlNet; the other is a ControlNet image size issue. Related area, but not the same bug." + }, + { + "left": "issue:5557", + "right": "issue:6482", + "accept": false, + "reason": "One is a use_reentrant keyword error from checkpointing; the other is FP16 gradient unscale failure on resume. Distinct training failures." + }, + { + "left": "issue:5605", + "right": "issue:8615", + "accept": false, + "reason": "One requests per-image captions for SDXL DreamBooth; the other requests fuse_lora support on SD3. Different feature requests." + }, + { + "left": "issue:5737", + "right": "issue:9664", + "accept": false, + "reason": "Both are conversion/training script errors, but they affect different scripts and likely different causes; too little evidence of a shared underlying bug." + }, + { + "left": "issue:6399", + "right": "issue:6732", + "accept": false, + "reason": "One is about custom LoRA weights not visible in UI tools; the other is documentation for trained_betas in DDPMScheduler. Not duplicates." + }, + { + "left": "issue:8708", + "right": "issue:9467", + "accept": false, + "reason": "One is a missing shift_factor in SD3 dreambooth examples; the other is a missing guard-rail on num_frames in CogVideoX I2V. Different pipelines and fixes." + }, + { + "left": "issue:10722", + "right": "issue:1734", + "accept": false, + "reason": "Both concern DreamBooth training performance/behavior, but one is a tensor size mismatch during prior preservation and the other is multi-GPU slowness. Not the same bug." + }, + { + "left": "issue:5395", + "right": "issue:8989", + "accept": false, + "reason": "One is about combining LoRAs via PEFT; the other is sequential offloading in Stable Audio. Different subsystems and symptoms." + }, + { + "left": "issue:10054", + "right": "issue:6527", + "accept": false, + "reason": "Both mention EulerDiscreteScheduler, but one is about torch.linspace parameter usage in beta-sigma tests and the other is add_noise behavior. Different concrete bugs." + }, + { + "left": "issue:10085", + "right": "issue:10150", + "accept": false, + "reason": "One is a LyCORIS/skip_guidance_layers runtime error; the other is SDXL slow loading/inference. No concrete underlying match." + }, + { + "left": "issue:2659", + "right": "issue:6091", + "accept": false, + "reason": "One is batch-size-dependent output variation; the other is a Consistency Decoder size-argument memory issue. Unrelated defects." + }, + { + "left": "issue:6232", + "right": "issue:8323", + "accept": false, + "reason": "One is a scheduler.add_noise bug for some settings; the other is a Chinese-language report that scheduler files cannot be recognized. Not the same issue." + }, + { + "left": "issue:11581", + "right": "issue:11659", + "accept": false, + "reason": "Both are LoRA/IP-Adapter related, but one is a FLUX IP Adapter dtype constructor error and the other is a Wan LoRA prefix mismatch warning. Different model families and failure modes." + }, + { + "left": "issue:10120", + "right": "issue:6230", + "accept": false, + "reason": "Both are memory/OOM related, but one is DreamBooth+SD3 memory consumption and the other is SDXL training CUDA OOM. Broad symptom only, not the same bug." + }, + { + "left": "issue:11163", + "right": "issue:9106", + "accept": false, + "reason": "One is a WanImageToVideo latent math bug; the other is a PixArt-alpha time_step attribute error. Different pipelines and code paths." + }, + { + "left": "issue:11657", + "right": "issue:11659", + "accept": false, + "reason": "Both involve Wan LoRA loading, but one reports no effect due to missing keys and the other is a generic LoRA load issue. Could be adjacent, but not enough evidence to merge." + }, + { + "left": "issue:5270", + "right": "issue:6091", + "accept": false, + "reason": "One is a notebook memory leak; the other is a Consistency Decoder size-argument memory issue. Different bugs despite both being memory-related." + }, + { + "left": "issue:10315", + "right": "issue:8707", + "accept": false, + "reason": "One is a CogVideo training error; the other is an SDXL text-to-image training error. Different models, scripts, and likely causes." + }, + { + "left": "issue:2851", + "right": "issue:3026", + "accept": false, + "reason": "One is a TPU push_to_hub limitation during training; the other is an accelerate launch error for instruct_pix2pix. Not the same problem." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 340, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10121", + "issue:10302", + "issue:10798", + "issue:1106", + "issue:11540", + "issue:11790", + "issue:12606", + "issue:2299", + "issue:251", + "issue:2552", + "issue:2838", + "issue:3097", + "issue:3194", + "issue:3576", + "issue:3631", + "issue:3951", + "issue:3975", + "issue:4186", + "issue:4399", + "issue:4484", + "issue:4618", + "issue:4977", + "issue:5592", + "issue:5763", + "issue:5884", + "issue:5984", + "issue:6598", + "issue:6610", + "issue:6783", + "issue:6921", + "issue:7210", + "issue:7322", + "issue:7355", + "issue:776", + "issue:8450", + "issue:8710", + "issue:8759", + "issue:898", + "issue:9163", + "issue:9200", + "issue:9224", + "issue:9292", + "issue:9361", + "issue:939", + "issue:9464", + "issue:9664", + "issue:9944" + ], + "soft_pairs": [ + "issue:4484|issue:6598", + "issue:10302|issue:11540", + "issue:3194|issue:7210", + "issue:8759|issue:9944", + "issue:10121|issue:7355", + "issue:2838|issue:939", + "issue:3097|issue:3576", + "issue:3631|issue:898", + "issue:3951|issue:5592", + "issue:3975|issue:4618", + "issue:5884|issue:8710", + "issue:5984|issue:9664", + "issue:6610|issue:8450", + "issue:9163|issue:9464", + "issue:9292|issue:9361", + "issue:5984|issue:7322", + "issue:6921|issue:9200", + "issue:10798|issue:9224", + "issue:2299|issue:4977", + "issue:1106|issue:2552", + "issue:11790|issue:12606", + "issue:251|issue:776", + "issue:4186|issue:6783", + "issue:4399|issue:5763" + ], + "prepared_review_unit_hash": "f5ae3191ddb12781e1ec444d2b68ac787c9ff8d30a544f2ca41a6cb2831b3285", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33510, + "estimated_input_tokens": 8378, + "estimated_eval_tokens": 17012 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated Diffusers issues grouped by loose embedding similarity rather than true duplicates. I found no strong PRs at all, and only one issue worth using as a representative canonical item because it is the clearest, most actionable bug report in the set.", + "confidence": 0.79, + "canonical_issue_reason": "issue:11540 is the clearest concrete bug report: it has a specific repro, names the affected pipelines, and describes two related but actionable VAE-slicing problems.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11540 is the best representative issue because it is detailed, open, and directly tied to a specific runtime bug rather than a generic symptom or feature request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4484", + "right": "issue:6598", + "accept": false, + "reason": "Both mention bad image quality, but one is SDXL LoRA weirdness and the other is img2img parity vs A1111; different pipelines and likely different root causes." + }, + { + "left": "issue:10302", + "right": "issue:11540", + "accept": false, + "reason": "Both mention noise, but one is FP8 inference without CPU offload and the other is VAE slicing in Flux; distinct code paths." + }, + { + "left": "issue:3194", + "right": "issue:7210", + "accept": false, + "reason": "Unrelated failures: bitsandbytes metadata/package resolution versus an accelerate dispatch attribute error." + }, + { + "left": "issue:8759", + "right": "issue:9944", + "accept": false, + "reason": "Both are SD3-family issues, but one is an image postprocessing cast warning and the other is a loading size mismatch; not the same bug." + }, + { + "left": "issue:10121", + "right": "issue:7355", + "accept": false, + "reason": "Resolution-related symptoms, but they target different models and different failures (Flux high-res generation vs Stable Cascade arbitrary resolutions with bfloat16)." + }, + { + "left": "issue:2838", + "right": "issue:939", + "accept": false, + "reason": "A ControlNet pipeline feature request and a request to list multiple community pipes are not the same underlying bug/change." + }, + { + "left": "issue:3097", + "right": "issue:3576", + "accept": false, + "reason": "Textual inversion is common context, but one reports no effect and the other a TypeError with xformers; different failure modes." + }, + { + "left": "issue:3631", + "right": "issue:898", + "accept": false, + "reason": "Inpainting with latents is unrelated to a TPU bfloat16 scalar type exception." + }, + { + "left": "issue:3951", + "right": "issue:5592", + "accept": false, + "reason": "Same model family, but NaNs in demo output and checkpoint loading failure are different problems." + }, + { + "left": "issue:3975", + "right": "issue:4618", + "accept": false, + "reason": "A typo in an error message is unrelated to a ControlNet usage question." + }, + { + "left": "issue:5884", + "right": "issue:8710", + "accept": false, + "reason": "Both are feature-addition issues for pipelines, but they concern different features and different pipeline families." + }, + { + "left": "issue:5984", + "right": "issue:9664", + "accept": false, + "reason": "The training-script subprocess failure is too generic to be the same concrete bug as the fp16 Colab RAM issue." + }, + { + "left": "issue:6610", + "right": "issue:8450", + "accept": false, + "reason": "Both hit SDXL inpaint, but one is about ignored num_in_channels and the other about noisy output at strength=1.0." + }, + { + "left": "issue:9163", + "right": "issue:9464", + "accept": false, + "reason": "Both touch train_dreambooth_lora_flux.py, but one is generic tensor bugs and the other is a specific IndexError with prodigy/text_encoder; not clearly the same root cause." + }, + { + "left": "issue:9292", + "right": "issue:9361", + "accept": false, + "reason": "Both involve Flux LoRA loading, but one is key-compatibility for X-Labs checkpoints and the other is a no-effect inference report; related, but not confidently the same bug." + }, + { + "left": "issue:5984", + "right": "issue:7322", + "accept": false, + "reason": "Both may involve training instability, but one is explicitly a RAM issue from an fp16 variant while the other is a generic SIGKILL during training." + }, + { + "left": "issue:6921", + "right": "issue:9200", + "accept": false, + "reason": "Official-weight deviation and a ControlNet dtype error are unrelated." + }, + { + "left": "issue:10798", + "right": "issue:9224", + "accept": false, + "reason": "Flux quantization/device-combination issues are unrelated to an MPS float64 support problem." + }, + { + "left": "issue:2299", + "right": "issue:4977", + "accept": false, + "reason": "A checkpoint-format compatibility issue is unrelated to removing checkpoints in an example script." + }, + { + "left": "issue:1106", + "right": "issue:2552", + "accept": false, + "reason": "Repeated UNet calls in PNDM has nothing to do with an inpainting tutorial question." + }, + { + "left": "issue:11790", + "right": "issue:12606", + "accept": false, + "reason": "A LoRA loading bug and a wrong import in a converter script are different code paths." + }, + { + "left": "issue:251", + "right": "issue:776", + "accept": false, + "reason": "Both are old generation issues, but one is latent fragility/solid-color outputs and the other is batch-size behavior in img2img." + }, + { + "left": "issue:4186", + "right": "issue:6783", + "accept": false, + "reason": "Different models and different bugs: SDXL inpaint/refiner versus PixArt-XL-2 generation corruption." + }, + { + "left": "issue:4399", + "right": "issue:5763", + "accept": false, + "reason": "PyTorch compile plus CPU offload incompatibility is unrelated to safetensors serialization." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 341, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10695", + "issue:10710", + "issue:10768", + "issue:10772", + "issue:1084", + "issue:10893", + "issue:11092", + "issue:11374", + "issue:11447", + "issue:11448", + "issue:12373", + "issue:12761", + "issue:1730", + "issue:2201", + "issue:2392", + "issue:2414", + "issue:2442", + "issue:2550", + "issue:2716", + "issue:272", + "issue:307", + "issue:3951", + "issue:4031", + "issue:4043", + "issue:4304", + "issue:4476", + "issue:4641", + "issue:4697", + "issue:4874", + "issue:5081", + "issue:5135", + "issue:5412", + "issue:5553", + "issue:5875", + "issue:6008", + "issue:6176", + "issue:6598", + "issue:6636", + "issue:6686", + "issue:7939", + "issue:8373", + "issue:8390", + "issue:8667", + "issue:8956", + "issue:9112", + "issue:9460", + "issue:9844" + ], + "soft_pairs": [ + "issue:10710|issue:8373", + "issue:6686|issue:9844", + "issue:1084|issue:307", + "issue:11374|issue:12373", + "issue:11447|issue:11448", + "issue:1730|issue:2442", + "issue:2414|issue:6636", + "issue:4031|issue:4874", + "issue:4476|issue:5412", + "issue:4641|issue:4697", + "issue:5135|issue:6008", + "issue:7939|issue:8956", + "issue:11092|issue:9112", + "issue:2716|issue:6176", + "issue:4031|issue:5553", + "issue:4043|issue:5081", + "issue:8667|issue:9460", + "issue:10695|issue:12761", + "issue:10768|issue:10772", + "issue:10893|issue:8390", + "issue:2201|issue:6598", + "issue:2392|issue:3951", + "issue:2550|issue:5875", + "issue:272|issue:4304" + ], + "prepared_review_unit_hash": "92fd7cdb7b2ce8065564f92a2a30b924ea6a46c1fa97f98b33b61047edc00e6e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33196, + "estimated_input_tokens": 8299, + "estimated_eval_tokens": 16854 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated bug reports, feature requests, and how-to questions across many diffusers subsystems. None of the soft pairs look like the same underlying issue/change, so all should be rejected as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:10695 is the most concrete, code-path-specific bug report in the set, with a clear scheduler-step calculation problem and actionable fix scope.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10710", + "right": "issue:8373", + "accept": false, + "reason": "Different concerns: DDUF format support question vs an incorrect error-message bug." + }, + { + "left": "issue:6686", + "right": "issue:9844", + "accept": false, + "reason": "Both involve bad model behavior, but one is Dynamo performance after save/load and the other is SDXL VAE NaNs; not the same bug." + }, + { + "left": "issue:1084", + "right": "issue:307", + "accept": false, + "reason": "Related to pipeline reuse/merging, but one is documentation around weight sharing and the other is a request to merge pipelines." + }, + { + "left": "issue:11374", + "right": "issue:12373", + "accept": false, + "reason": "Unrelated features: SkyReels-V2 support vs an Unlearn API request." + }, + { + "left": "issue:11447", + "right": "issue:11448", + "accept": false, + "reason": "Both are loading-related, but one is offline shard resolution and the other is a missing model path/repo." + }, + { + "left": "issue:1730", + "right": "issue:2442", + "accept": false, + "reason": "Different workflows: CKPT conversion compatibility vs inpainting loss-graph behavior." + }, + { + "left": "issue:2414", + "right": "issue:6636", + "accept": false, + "reason": "Both mention imports, but they are distinct import failures affecting different symbols and code paths." + }, + { + "left": "issue:4031", + "right": "issue:4874", + "accept": false, + "reason": "Different loaders and failures: local safety-checker loading vs low_res_scheduler behavior from local files." + }, + { + "left": "issue:4476", + "right": "issue:5412", + "accept": false, + "reason": "ControlNet inference quality issue vs checkpoint-resume training failure; not the same underlying problem." + }, + { + "left": "issue:4641", + "right": "issue:4697", + "accept": false, + "reason": "Both concern LoRA loading, but one is a local-file load failure and the other is a specific LoRA failing after an update." + }, + { + "left": "issue:5135", + "right": "issue:6008", + "accept": false, + "reason": "Different symptoms and components: LoRA quality degradation with xformers vs IP-Adapter plus face failing with LCM LoRA." + }, + { + "left": "issue:7939", + "right": "issue:8956", + "accept": false, + "reason": "Both are model loading problems, but they refer to different pipelines and different failure modes." + }, + { + "left": "issue:11092", + "right": "issue:9112", + "accept": false, + "reason": "Different runtime errors in different models/pipelines: empty timesteps vs tensor shape mismatch." + }, + { + "left": "issue:2716", + "right": "issue:6176", + "accept": false, + "reason": "General checkpoint loading question vs an error loading LoRA weights after training; not the same bug." + }, + { + "left": "issue:4031", + "right": "issue:5553", + "accept": false, + "reason": "Both involve loading models, but one is a standalone safety checker local-file issue and the other is custom DiffusionPipeline loading." + }, + { + "left": "issue:4043", + "right": "issue:5081", + "accept": false, + "reason": "Distinct SDXL problems: required pooled embeds vs LPW XL shape-mismatch during attention/MLP operations." + }, + { + "left": "issue:8667", + "right": "issue:9460", + "accept": false, + "reason": "One is a tensor-size mismatch on non-power-of-two images, the other is an API feature request for lists of ControlNet models." + }, + { + "left": "issue:10695", + "right": "issue:12761", + "accept": false, + "reason": "Completely different code paths: DDIMInverseScheduler timestep computation vs a backward-gradient count mismatch in Ulysses attention." + }, + { + "left": "issue:10768", + "right": "issue:10772", + "accept": false, + "reason": "Different model families and requests: Hunyuan negative-prompt support vs Sana ControlNet support." + }, + { + "left": "issue:10893", + "right": "issue:8390", + "accept": false, + "reason": "Both are ControlNet-related feature requests, but for different base models and different integration/training goals." + }, + { + "left": "issue:2201", + "right": "issue:6598", + "accept": false, + "reason": "Tokenizer padding differences vs img2img output divergence; related broadly to correctness, but not the same issue." + }, + { + "left": "issue:2392", + "right": "issue:3951", + "accept": false, + "reason": "Different failures: prompt_embeds validation error vs NaNs in UniDiffuser demo output." + }, + { + "left": "issue:2550", + "right": "issue:5875", + "accept": false, + "reason": "Different conversion targets and errors: ControlNet model conversion vs ONNX conversion prompt error." + }, + { + "left": "issue:272", + "right": "issue:4304", + "accept": false, + "reason": "Unrelated feature requests: K-LMS support for inpainting vs SDXL text-to-image LoRA training support." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 342, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1205", + "issue:1214", + "issue:2763", + "issue:2782", + "issue:2905", + "issue:2908", + "issue:2991", + "issue:3181", + "issue:3403", + "issue:3467", + "issue:3578", + "issue:3624", + "issue:3643", + "issue:3682", + "issue:3876", + "issue:3935", + "issue:4001", + "issue:4118", + "issue:4185", + "issue:4306", + "issue:4616", + "issue:4675", + "issue:4804", + "issue:4826", + "issue:5043", + "issue:5365", + "issue:5630", + "issue:5794", + "issue:6162", + "issue:6335", + "issue:6336", + "issue:6354", + "issue:7237", + "issue:725", + "issue:7286", + "issue:7736", + "issue:7813", + "issue:8390", + "issue:8503", + "issue:8659", + "issue:8855", + "issue:8898", + "issue:8930", + "issue:9001", + "issue:9225", + "issue:9539", + "issue:970", + "issue:9756" + ], + "soft_pairs": [ + "issue:3181|issue:3624", + "issue:3578|issue:4118", + "issue:3682|issue:725", + "issue:3935|issue:4001", + "issue:4675|issue:8390", + "issue:4804|issue:9225", + "issue:5043|issue:7736", + "issue:5794|issue:8898", + "issue:7237|issue:9756", + "issue:7813|issue:8855", + "issue:8503|issue:9539", + "issue:3876|issue:4306", + "issue:6335|issue:8930", + "issue:3643|issue:5365", + "issue:3403|issue:7286", + "issue:2991|issue:3467", + "issue:1214|issue:2908", + "issue:4185|issue:8659", + "issue:2763|issue:4826", + "issue:1205|issue:2782", + "issue:2905|issue:6354", + "issue:4616|issue:970", + "issue:5630|issue:9001", + "issue:6162|issue:6336" + ], + "prepared_review_unit_hash": "e6cacf56f4505eb673099abffe7f97b2df12d1aa29a4aba166327b84788a5398", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33786, + "estimated_input_tokens": 8447, + "estimated_eval_tokens": 17150 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: most items are unrelated bugs or feature requests across different pipelines, loaders, schedulers, and docs. There is no strong duplicate group, so all soft edges should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": "Issue 2908 is the most concrete and detailed bug report in the closest subtopic (ControlNet training / mixed precision), but it is still only a weak cluster anchor because the rest of the items are not duplicates of it.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 2908 is the best representative issue because it includes a specific failing script and a clear bug description, making it the most actionable anchor among otherwise unrelated reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3181", + "right": "issue:3624", + "accept": false, + "reason": "Different errors and contexts: TensorRT example TypeError vs getattr() attribute-name failure." + }, + { + "left": "issue:3578", + "right": "issue:4118", + "accept": false, + "reason": "Different loading problems: AutoencoderKL checkpoint load failure vs missing 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"issue:8898", + "accept": false, + "reason": "Both involve loading, but one is a missing tokenizer config and the other is a subfolder path validation error." + }, + { + "left": "issue:7237", + "right": "issue:9756", + "accept": false, + "reason": "Scheduler import/lookup issue vs missing notebook file; not the same bug." + }, + { + "left": "issue:7813", + "right": "issue:8855", + "accept": false, + "reason": "Different API concerns: passing timesteps as tensors vs joint_attention_kwargs propagation." + }, + { + "left": "issue:8503", + "right": "issue:9539", + "accept": false, + "reason": "Different model/runtime failures: SD3 gradient-checkpointing crash vs CogVideoX float8 index_select error." + }, + { + "left": "issue:3876", + "right": "issue:4306", + "accept": false, + "reason": "Both are pipeline errors, but they affect different pipelines and failure modes." + }, + { + "left": "issue:6335", + "right": "issue:8930", + "accept": false, + "reason": "Both are ControlNet img2img 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problems: black images in ControlNet vs checkpoint resume/load failure in text-to-image training." + }, + { + "left": "issue:2763", + "right": "issue:4826", + "accept": false, + "reason": "Both are ControlNet-related, but one is VRAM usage with cudnn.benchmark and the other is MultiControlNet reference errors." + }, + { + "left": "issue:1205", + "right": "issue:2782", + "accept": false, + "reason": "Different loading/offloading topics: SD-to-ONNX conversion vs sequential model offloading error." + }, + { + "left": "issue:2905", + "right": "issue:6354", + "accept": false, + "reason": "Unrelated changes: Karras sigmas for schedulers vs LoRA support for ControlNet." + }, + { + "left": "issue:4616", + "right": "issue:970", + "accept": false, + "reason": "LoRA conversion bug is unrelated to failing integration tests." + }, + { + "left": "issue:5630", + "right": "issue:9001", + "accept": false, + "reason": "Different pipelines and problems: SDXL img2img scheduler noise vs Auraflow aspect ratios." + }, + { + "left": "issue:6162", + "right": "issue:6336", + "accept": false, + "reason": "Different runtime errors in different pipelines: IP-Adapter shape mismatch vs TensorRT VAE compilation with AutoencoderTiny." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 343, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1111", + "issue:11144", + "issue:1271", + "issue:1617", + "issue:1821", + "issue:2097", + "issue:2228", + "issue:2326", + "issue:234", + "issue:235", + "issue:2364", + "issue:2596", + "issue:2606", + "issue:2880", + "issue:3081", + "issue:3222", + "issue:3224", + "issue:3453", + "issue:3573", + "issue:3591", + "issue:3740", + "issue:3884", + "issue:4676", + "issue:4709", + "issue:4726", + "issue:4936", + "issue:5075", + "issue:540", + "issue:5538", + "issue:5605", + "issue:5931", + "issue:6164", + "issue:6287", + "issue:6446", + "issue:6520", + "issue:7049", + "issue:7168", + "issue:7300", + "issue:7415", + "issue:7483", + "issue:7535", + "issue:7600", + "issue:7945", + "issue:8226", + "issue:8551", + "issue:9187", + "issue:9610" + ], + "soft_pairs": [ + "issue:2606|issue:3884", + "issue:1617|issue:2326", + "issue:4936|issue:6520", + "issue:7168|issue:8551", + "issue:4709|issue:6164", + "issue:235|issue:2880", + "issue:2596|issue:3081", + "issue:3222|issue:7300", + "issue:3224|issue:7600", + "issue:3453|issue:7415", + "issue:5538|issue:6287", + "issue:5605|issue:9610", + "issue:1271|issue:2364", + "issue:3740|issue:7483", + "issue:234|issue:3573", + "issue:3591|issue:8226", + "issue:1821|issue:3222", + "issue:2097|issue:5075", + "issue:4726|issue:7535", + "issue:11144|issue:9187", + "issue:4676|issue:7049", + "issue:5931|issue:7945", + "issue:1111|issue:540", + "issue:2228|issue:6446" + ], + "prepared_review_unit_hash": "3f31e2848730dfce1771791cc965a8fd691ded2dd6027895275c8022a70c9e3e", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33345, + "estimated_input_tokens": 8337, + "estimated_eval_tokens": 16930 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the soft links mostly connect only broadly related Stable Diffusion/Diffusers issues, not the same underlying bug or change. I would not collapse any of the candidate pairs, and there is no strong single canonical issue/PR for the whole cluster.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2606", + "right": "issue:3884", + "accept": false, + "reason": "Both are training-script errors, but one is a DeepSpeed save_state hang and the other is an argument parsing failure in a different script path." + }, + { + "left": "issue:1617", + "right": "issue:2326", + "accept": false, + "reason": "Dreambooth CLI required-args error vs LoRA conversion to safetensors/ckpt; different tools and failure modes." + }, + { + "left": "issue:4936", + "right": "issue:6520", + "accept": false, + "reason": "Resume support in Dreambooth LoRA training is broken, while the other report is blank validation output in adapter training." + }, + { + "left": "issue:7168", + "right": "issue:8551", + "accept": false, + "reason": "Both mention IP Adapter-like tensor/device problems, but one is about 4D image embeddings and the other about inpaint latents not moving to the right device under device_map." + }, + { + "left": "issue:4709", + "right": "issue:6164", + "accept": false, + "reason": "ControlNet guess mode support and latent output handling are unrelated code paths." + }, + { + "left": "issue:235", + "right": "issue:2880", + "accept": false, + "reason": "One is CUDA issues when porting a script, the other is a JAX Colab runtime failure; too different to be duplicates." + }, + { + "left": "issue:2596", + "right": "issue:3081", + "accept": false, + "reason": "Documentation referring to a missing utility function is not the same as a non-functional Colab notebook." + }, + { + "left": "issue:3222", + "right": "issue:7300", + "accept": false, + "reason": "Missing saved custom diffusion weights and high GPU memory after attention processor setup are different training/runtime bugs." + }, + { + "left": "issue:3224", + "right": "issue:7600", + "accept": false, + "reason": "Duplicated learning-rate scaling and missing accelerator.accumulate on text_encoder are different training-loop logic issues." + }, + { + "left": "issue:3453", + "right": "issue:7415", + "accept": false, + "reason": "Both are bfloat16-related, but one is a CUDA triu/tril kernel limitation in text-to-image training and the other is AutoencoderKL behavior on TPU v4." + }, + { + "left": "issue:5538", + "right": "issue:6287", + "accept": false, + "reason": "A pipeline implementation question about latent usage is unrelated to setup.py listing unused dependencies." + }, + { + "left": "issue:5605", + "right": "issue:9610", + "accept": false, + "reason": "Per-image caption support for SDXL Dreambooth and adding load_lora_weights to an img2img pipeline are separate feature requests." + }, + { + "left": "issue:1271", + "right": "issue:2364", + "accept": false, + "reason": "Dependency installation on GCP notebooks and a generic training-script failure are not the same bug." + }, + { + "left": "issue:3740", + "right": "issue:7483", + "accept": false, + "reason": "Legacy attention block conversion with sequential device_map is distinct from LoRA-to-Diffusers conversion for SDXL base models." + }, + { + "left": "issue:234", + "right": "issue:3573", + "accept": false, + "reason": "Half-precision pipeline runtime and a missing class_labels argument in local upscaler are unrelated." + }, + { + "left": "issue:3591", + "right": "issue:8226", + "accept": false, + "reason": "ControlNet loss-curve confusion is not the same as VectorQuantizer loss behavior." + }, + { + "left": "issue:1821", + "right": "issue:3222", + "accept": false, + "reason": "Negative prompt ineffectiveness in inpaint is a pipeline behavior issue, not the missing custom diffusion output artifact." + }, + { + "left": "issue:2097", + "right": "issue:5075", + "accept": false, + "reason": "UNet1D usage problem and SDXL refiner prompt-embedding shape mismatch are different model-path failures." + }, + { + "left": "issue:4726", + "right": "issue:7535", + "accept": false, + "reason": "These are both typing-related, but one is a StableDiffusionPipeline callback signature issue and the other is a broader type-hint incompatibility." + }, + { + "left": "issue:11144", + "right": "issue:9187", + "accept": false, + "reason": "Incorrect FlaxUNet dtypes and IP Adapter SDXL breakage after Kolors update are separate subsystems." + }, + { + "left": "issue:4676", + "right": "issue:7049", + "accept": false, + "reason": "TAESD latent brightness and IP Adapter unpacking errors do not share the same root cause." + }, + { + "left": "issue:5931", + "right": "issue:7945", + "accept": false, + "reason": "Nondeterministic generation and a request to combine community pipelines are not the same change or bug." + }, + { + "left": "issue:1111", + "right": "issue:540", + "accept": false, + "reason": "A checkpoint licensing/content topic and a memory-usage optimization issue are unrelated." + }, + { + "left": "issue:2228", + "right": "issue:6446", + "accept": false, + "reason": "Both concern loading Stable Diffusion, but one is about moving the pipeline to GPU and the other is a Colab minimal-loading complaint; too broad and not the same concrete bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 344, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10016", + "issue:1055", + "issue:1099", + "issue:11088", + "issue:11749", + "issue:12082", + "issue:1273", + "issue:1363", + "issue:1918", + "issue:2068", + "issue:2250", + "issue:2578", + "issue:3539", + "issue:3970", + "issue:4618", + "issue:4701", + "issue:4972", + "issue:5150", + "issue:5162", + "issue:5405", + "issue:5630", + "issue:5919", + "issue:5968", + "issue:5998", + "issue:6242", + "issue:6297", + "issue:6321", + "issue:6439", + "issue:6441", + "issue:6561", + "issue:6685", + "issue:6811", + "issue:6966", + "issue:7054", + "issue:7322", + "issue:7450", + "issue:7616", + "issue:7762", + "issue:7782", + "issue:7939", + "issue:851", + "issue:8906", + "issue:9069", + "issue:9515", + "issue:9613", + "issue:9660", + "issue:9670" + ], + "soft_pairs": [ + "issue:5162|issue:5968", + "issue:5630|issue:7762", + "issue:5998|issue:9069", + "issue:5919|issue:6966", + "issue:6561|issue:6811", + "issue:10016|issue:7939", + "issue:2068|issue:851", + "issue:2578|issue:6321", + "issue:2250|issue:4972", + "issue:1055|issue:1099", + "issue:11749|issue:9613", + "issue:1273|issue:3539", + "issue:3970|issue:4618", + "issue:5150|issue:6685", + "issue:5405|issue:6439", + "issue:5630|issue:7616", + "issue:6242|issue:6441", + "issue:7054|issue:9660", + "issue:7782|issue:9670", + "issue:8906|issue:9515", + "issue:11088|issue:12082", + "issue:1363|issue:1918", + "issue:4701|issue:7450", + "issue:6297|issue:7322" + ], + "prepared_review_unit_hash": "677781086b2c58f5ba63418baa1b9122c8b1bfda4af811d20e3e88ec21ee851f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33161, + "estimated_input_tokens": 8291, + "estimated_eval_tokens": 16838 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated bug reports across loading, schedulers, pipelines, and docs. I found no pair that clearly describes the same underlying defect, so no soft edges were accepted.", + "confidence": 0.95, + "canonical_issue_reason": "issue:10016 is the strongest representative: recent, specific, and has a concrete loading failure with a clear error (`from_single_file` / `pos_embed.pos_embed` shape mismatch).", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10016 is the most actionable issue in the set, with a narrow scope and explicit failure mode that is easy to triage and fix.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5162", + "right": "issue:5968", + "accept": false, + "reason": "Both mention conversion, but one asks for a checkpoint-to-safetensors script and the other asks for ONNX conversion support; different change requests." + }, + { + "left": "issue:5630", + "right": "issue:7762", + "accept": false, + "reason": "Both are image-quality complaints, but they refer to different models/pipelines and different symptoms; not the same bug." + }, + { + "left": "issue:5998", + "right": "issue:9069", + "accept": false, + "reason": "Different failure classes: a bad keyword argument in VersatileDiffusion vs a NumPy type mismatch." + }, + { + "left": "issue:5919", + "right": "issue:6966", + "accept": false, + "reason": "One is a LoRA layer attribute error on Linear modules; the other is missing `attn_processors` after a forward pass. Different code paths." + }, + { + "left": "issue:6561", + "right": "issue:6811", + "accept": false, + "reason": "Both are missing-file errors, but they involve different models and different missing paths/assets." + }, + { + "left": "issue:10016", + "right": "issue:7939", + "accept": false, + "reason": "`from_single_file` shape-mismatch on SD3.5M is not the same as failing to load a model from the same folder." + }, + { + "left": "issue:2068", + "right": "issue:851", + "accept": false, + "reason": "Both involve dtype, but one reports `from_pretrained` not converting model dtype while the other is a half/float mismatch in a separate loading case; not clearly the same bug." + }, + { + "left": "issue:2578", + "right": "issue:6321", + "accept": false, + "reason": "Editable install failure and missing CLIP detection are unrelated." + }, + { + "left": "issue:2250", + "right": "issue:4972", + "accept": false, + "reason": "Different pipelines and different failures: Dreambooth prompt generation vs Wuerstchen example runtime error." + }, + { + "left": "issue:1055", + "right": "issue:1099", + "accept": false, + "reason": "One is about a missing pipeline class; the other is about Dreambooth class naming. No shared underlying defect." + }, + { + "left": "issue:11749", + "right": "issue:9613", + "accept": false, + "reason": "Both mention scheduler/timestep behavior, but the actual errors are different (`floating point errors` vs missing `scale` attribute)." + }, + { + "left": "issue:1273", + "right": "issue:3539", + "accept": false, + "reason": "A loss-calculation question and a `main_process_first` question are unrelated." + }, + { + "left": "issue:3970", + "right": "issue:4618", + "accept": false, + "reason": "Different SDXL usage problems; one is prompt embeddings, the other is a ControlNet/model compatibility question." + }, + { + "left": "issue:5150", + "right": "issue:6685", + "accept": false, + "reason": "Missing `from_single_file` implementation vs unsupported absolute output paths are unrelated." + }, + { + "left": "issue:5405", + "right": "issue:6439", + "accept": false, + "reason": "One is about `from_single_file` not overwriting weights; the other is a docs link 404." + }, + { + "left": "issue:5630", + "right": "issue:7616", + "accept": false, + "reason": "Both are quality/artifact complaints, but they are different models and different conditions; not enough to treat as duplicates." + }, + { + "left": "issue:6242", + "right": "issue:6441", + "accept": false, + "reason": "A request for logs and a Colab `from_pretrained` failure are unrelated." + }, + { + "left": "issue:7054", + "right": "issue:9660", + "accept": false, + "reason": "LoRA state-dict mutation and pipeline eval-mode handling are different behaviors in different methods." + }, + { + "left": "issue:7782", + "right": "issue:9670", + "accept": false, + "reason": "A safetensors unpickling/conversion error and a PEFT backend requirement are different loading problems." + }, + { + "left": "issue:8906", + "right": "issue:9515", + "accept": false, + "reason": "Both mention SD3 transformer internals, but one asks about `qk_norm` and the other about missing RMSNorm in a processor; not the same issue." + }, + { + "left": "issue:11088", + "right": "issue:12082", + "accept": false, + "reason": "Transformer GGUF loading and VAE memory after compile are unrelated." + }, + { + "left": "issue:1363", + "right": "issue:1918", + "accept": false, + "reason": "Different scheduler/example failures on different pipelines; no evidence of the same bug." + }, + { + "left": "issue:4701", + "right": "issue:7450", + "accept": false, + "reason": "Autoencoder CUDA differentiation error vs multi-thread issue are different defects." + }, + { + "left": "issue:6297", + "right": "issue:7322", + "accept": false, + "reason": "Same training script family, but one is a training failure on photos and the other is a SIGKILL during training; not clearly the same root cause." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 345, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1070", + "issue:11363", + "issue:11547", + "issue:11878", + "issue:12060", + "issue:12113", + "issue:12900", + "issue:13065", + "issue:1403", + "issue:1541", + "issue:1730", + "issue:1865", + "issue:1883", + "issue:1969", + "issue:2026", + "issue:2234", + "issue:2761", + "issue:3171", + "issue:347", + "issue:3643", + "issue:3728", + "issue:4263", + "issue:4363", + "issue:4773", + "issue:4919", + "issue:5395", + "issue:5425", + "issue:547", + "issue:5574", + "issue:5578", + "issue:5989", + "issue:6297", + "issue:6366", + "issue:6412", + "issue:6506", + "issue:7147", + "issue:7183", + "issue:759", + "issue:7773", + "issue:7864", + "issue:7891", + "issue:7945", + "issue:7946", + "issue:8918", + "issue:9516", + "issue:9648", + "issue:9792", + "issue:9836" + ], + "soft_pairs": [ + "issue:1883|issue:759", + "issue:4773|issue:4919", + "issue:5574|issue:9516", + "issue:5578|issue:7946", + "issue:11363|issue:12900", + "issue:6506|issue:9648", + "issue:1403|issue:2026", + "issue:1541|issue:1730", + "issue:1969|issue:5425", + "issue:7147|issue:7183", + "issue:11878|issue:12113", + "issue:1070|issue:347", + "issue:11547|issue:13065", + "issue:12060|issue:9836", + "issue:2761|issue:547", + "issue:3171|issue:6412", + "issue:3728|issue:7864", + "issue:4263|issue:8918", + "issue:4363|issue:5989", + "issue:5395|issue:7945", + "issue:7773|issue:9792", + "issue:3643|issue:7891", + "issue:6297|issue:6366", + "issue:1865|issue:2234" + ], + "prepared_review_unit_hash": "ba90c51725a4f610714734dd5a1f5c53f45b46d25655fc63ba2d83b92c659167", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33825, + "estimated_input_tokens": 8457, + "estimated_eval_tokens": 17170 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pair looks like a true duplicate; these are mostly unrelated bugs or feature requests across different models/pipelines. If a representative issue must be chosen, #12113 is the most concrete, reproducible runtime bug report.", + "confidence": 0.89, + "canonical_issue_reason": "#12113 is the clearest concrete bug report: it names the exact pipeline, model behavior, and the tensor-shape mismatch error, making it the strongest representative issue in this set.", + "canonical_pr_reason": null, + "best_issue_reason": "#12113 is the most suitable global representative because it is specific, actionable, and tied to a precise failing code path rather than a broad feature request or vague report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1883", + "right": "issue:759", + "accept": false, + "reason": "Both are SD-related, but one is about VAE gradient checkpointing and the other about textual inversion save behavior; different code paths and failures." + }, + { + "left": "issue:4773", + "right": "issue:4919", + "accept": false, + "reason": "Both mention LoRA, but one is about loading a CivitAI LoRA and the other is a feature for multi-LoRA fusion; not the same bug." + }, + { + "left": "issue:5574", + "right": "issue:9516", + "accept": false, + "reason": "Training LoRA attention parameters is unrelated to FLUX joint_attention_kwargs not being forwarded." + }, + { + "left": "issue:5578", + "right": "issue:7946", + "accept": false, + "reason": "A missing model_index.json error is not the same as custom_pipeline cache behavior." + }, + { + "left": "issue:11363", + "right": "issue:12900", + "accept": false, + "reason": "Both are OOM reports, but they involve different models and scenarios; not the same underlying memory bug." + }, + { + "left": "issue:6506", + "right": "issue:9648", + "accept": false, + "reason": "One is an output-type API mismatch in Stable Video Diffusion; the other is a VAE tiling memory overflow issue." + }, + { + "left": "issue:1403", + "right": "issue:2026", + "accept": false, + "reason": "Safety checker image differences and cpu_offload failure in PaintByExample are unrelated." + }, + { + "left": "issue:1541", + "right": "issue:1730", + "accept": false, + "reason": "Both touch DreamBooth/CKPT loading, but one is model-type detection in DreamBooth and the other is a conversion/webui loading problem." + }, + { + "left": "issue:1969", + "right": "issue:5425", + "accept": false, + "reason": "Tensor view/stride incompatibility is a runtime tensor bug, while the other is checkpoint-saving compatibility with accelerate/PT 2.1." + }, + { + "left": "issue:7147", + "right": "issue:7183", + "accept": false, + "reason": "Importing StableCascadeDecoderPipeline and scheduler class-name display are unrelated issues." + }, + { + "left": "issue:11878", + "right": "issue:12113", + "accept": false, + "reason": "Both are Wan-related, but one is a GGUF/1.3B loading problem and the other is an input-channel mismatch in a different pipeline path." + }, + { + "left": "issue:1070", + "right": "issue:347", + "accept": false, + "reason": "Stable diffusion inpainting bug and pip install dependency resolution are unrelated." + }, + { + "left": "issue:11547", + "right": "issue:13065", + "accept": false, + "reason": "One is a Flux fill ControlNet support feature and the other is a Qwen-Image ControlNet inpaint/canny request; different models and changes." + }, + { + "left": "issue:12060", + "right": "issue:9836", + "accept": false, + "reason": "A question about DiT blocks and a feature request to record layer_id are not the same bug or change." + }, + { + "left": "issue:2761", + "right": "issue:547", + "accept": false, + "reason": "Both ask for documentation, but they concern different topics and doc pages." + }, + { + "left": "issue:3171", + "right": "issue:6412", + "accept": false, + "reason": "LPW prompts for ControlNet and ControlNet annotators to ONNX are different features." + }, + { + "left": "issue:3728", + "right": "issue:7864", + "accept": false, + "reason": "Different new pipeline proposals for different generation tasks; not the same underlying change." + }, + { + "left": "issue:4263", + "right": "issue:8918", + "accept": false, + "reason": "LoRA unloading and SD3 DreamBooth training failures are unrelated." + }, + { + "left": "issue:4363", + "right": "issue:5989", + "accept": false, + "reason": "Loading a specific SDXL VAE file and a safetensors.torch bug may overlap loosely, but the reports do not identify the same concrete failure." + }, + { + "left": "issue:5395", + "right": "issue:7945", + "accept": false, + "reason": "A PEFT LoRA combination bug and a community-pipeline image-generation feature are unrelated." + }, + { + "left": "issue:7773", + "right": "issue:9792", + "accept": false, + "reason": "Stable Video Diffusion batch-size bug and dataset cache loading failure are different problems." + }, + { + "left": "issue:3643", + "right": "issue:7891", + "accept": false, + "reason": "Latent decode INT_MAX limitation and mixed-device tensor error are distinct runtime failures." + }, + { + "left": "issue:6297", + "right": "issue:6366", + "accept": false, + "reason": "Both concern SDXL DreamBooth LoRA training, but one is about training on photos and the other is about checkpoint reload correctness; not the same bug." + }, + { + "left": "issue:1865", + "right": "issue:2234", + "accept": false, + "reason": "Zero stage3 dimension errors and xformers finetuning failures are separate training issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 346, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10381", + "issue:10526", + "issue:10782", + "issue:10920", + "issue:10928", + "issue:11055", + "issue:11083", + "issue:11447", + "issue:11872", + "issue:1197", + "issue:12433", + "issue:1284", + "issue:13256", + "issue:1922", + "issue:2439", + "issue:244", + "issue:2459", + "issue:280", + "issue:3287", + "issue:3574", + "issue:3853", + "issue:3885", + "issue:3908", + "issue:4057", + "issue:4236", + "issue:4250", + "issue:4453", + "issue:4468", + "issue:4680", + "issue:4788", + "issue:5064", + "issue:5150", + "issue:5160", + "issue:5225", + "issue:5567", + "issue:660", + "issue:7492", + "issue:7591", + "issue:7752", + "issue:7785", + "issue:7864", + "issue:7955", + "issue:8541", + "issue:8594", + "issue:8637", + "issue:9025", + "issue:9241", + "issue:9450" + ], + "soft_pairs": [ + "issue:2439|issue:660", + "issue:10920|issue:7785", + "issue:11872|issue:9450", + "issue:4236|issue:5064", + "issue:7864|issue:7955", + "issue:1922|issue:3574", + "issue:3853|issue:7591", + "issue:3908|issue:4250", + "issue:10381|issue:10526", + "issue:12433|issue:13256", + "issue:1284|issue:4468", + "issue:10928|issue:7492", + "issue:10782|issue:11055", + "issue:11083|issue:8637", + "issue:11447|issue:8541", + "issue:1197|issue:3287", + "issue:244|issue:280", + "issue:2459|issue:5567", + "issue:3885|issue:8594", + "issue:4057|issue:7752", + "issue:4453|issue:4680", + "issue:4788|issue:5225", + "issue:5150|issue:9025", + "issue:5160|issue:9241" + ], + "prepared_review_unit_hash": "5d8670a2d67daf8a67e7fa5d79618981cd7013b903511d3ca36deff5e8bc1928", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34080, + "estimated_input_tokens": 8520, + "estimated_eval_tokens": 17296 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set does not look like a duplicate cluster: it mixes unrelated issues across loading, training, multi-GPU, documentation, and scheduler behavior. No single canonical issue or PR stands out.", + "confidence": 0.97, + "canonical_issue_reason": "No canonical issue: the items are heterogeneous and do not share one underlying bug or change.", + "canonical_pr_reason": null, + "best_issue_reason": "No single best issue for deduping; issue:11872 is the most detailed, but it is not representative of the unrelated issues in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2439", + "right": "issue:660", + "accept": false, + "reason": "Different problems: inpainting pipeline loading/running vs MPS fp16 execution on Apple Silicon." + }, + { + "left": "issue:10920", + "right": "issue:7785", + "accept": false, + "reason": "Scheduler numerical overflow bug vs first-inference slowness; same area, different underlying issue." + }, + { + "left": "issue:11872", + "right": "issue:9450", + "accept": false, + "reason": "Both involve device movement/multi-GPU, but one is CPU offloading inefficiency and the other is Flux multi-GPU tensor placement mismatch." + }, + { + "left": "issue:4236", + "right": "issue:5064", + "accept": false, + "reason": "Refiner text-encoder registration bug vs out-of-memory during refiner inference; not the same fix." + }, + { + "left": "issue:7864", + "right": "issue:7955", + "accept": false, + "reason": "Unrelated video-generation feature requests, not the same bug or change." + }, + { + "left": "issue:1922", + "right": "issue:3574", + "accept": false, + "reason": "Undefined notebook helper vs Windows checkpoint-loading issue; separate code paths." + }, + { + "left": "issue:3853", + "right": "issue:7591", + "accept": false, + "reason": "Both mention HeaderTooLarge, but one is LoRA weight loading and the other is from_single_file with local_files_only; not enough to treat as one bug." + }, + { + "left": "issue:3908", + "right": "issue:4250", + "accept": false, + "reason": "Streamlit caching/performance question vs incorrect from_pretrained loading behavior." + }, + { + "left": "issue:10381", + "right": "issue:10526", + "accept": false, + "reason": "Both mention Flux and Quanto, but 10526 is a specific WeightQBytesTensor TypeError while 10381 also involves LoRA/zero-GPU spaces; not clearly the same fix." + }, + { + "left": "issue:12433", + "right": "issue:13256", + "accept": false, + "reason": "Documentation/version pinning problem vs a general compatibility claim about package versions; different issues." + }, + { + "left": "issue:1284", + "right": "issue:4468", + "accept": false, + "reason": "Batch-size timing slowdown vs multi-GPU vs single-GPU performance differences; related theme, different bug." + }, + { + "left": "issue:10928", + "right": "issue:7492", + "accept": false, + "reason": "Missing local shard file vs repository-not-found API error; different loading failures." + }, + { + "left": "issue:10782", + "right": "issue:11055", + "accept": false, + "reason": "Lumina minor issue vs colorized unconditional training output; unrelated symptoms and code paths." + }, + { + "left": "issue:11083", + "right": "issue:8637", + "accept": false, + "reason": "DDP stride-mismatch warning vs missing PixArtSigmaPipeline import; unrelated." + }, + { + "left": "issue:11447", + "right": "issue:8541", + "accept": false, + "reason": "Offline shard-file lookup failure vs bad SD3 model repository URL; both hub-related but not the same bug." + }, + { + "left": "issue:1197", + "right": "issue:3287", + "accept": false, + "reason": "Community pipeline proposal vs support for improved DDPM; different feature requests." + }, + { + "left": "issue:244", + "right": "issue:280", + "accept": false, + "reason": "Contributor formatting docs vs adding a scheduler; no overlap in underlying change." + }, + { + "left": "issue:2459", + "right": "issue:5567", + "accept": false, + "reason": "xFormers training-script issue vs Accelerator overwriting unet.config; different code paths and fixes." + }, + { + "left": "issue:3885", + "right": "issue:8594", + "accept": false, + "reason": "VRAM reduction request vs UnboundLocalError in SD3 LoRA training script; unrelated." + }, + { + "left": "issue:4057", + "right": "issue:7752", + "accept": false, + "reason": "Blurred finetuned inpainting output vs class-image count question; not the same bug." + }, + { + "left": "issue:4453", + "right": "issue:4680", + "accept": false, + "reason": "LoRA conversion tooling vs SDXL inpainting finetuning; different topics." + }, + { + "left": "issue:4788", + "right": "issue:5225", + "accept": false, + "reason": "Both are memory-related, but one is SDXL inpainting OOM and the other is forward-pass OOM during training; not the same concrete issue." + }, + { + "left": "issue:5150", + "right": "issue:9025", + "accept": false, + "reason": "Missing from_single_file on one pipeline vs a Flax TPU usage question on another pipeline; not the same bug." + }, + { + "left": "issue:5160", + "right": "issue:9241", + "accept": false, + "reason": "Dreambooth/LoRA masking request vs LoRA conversion script request; unrelated changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 347, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10085", + "issue:10227", + "issue:1066", + "issue:10710", + "issue:10860", + "issue:10963", + "issue:11062", + "issue:11321", + "issue:11343", + "issue:12610", + "issue:13001", + "issue:2841", + "issue:2941", + "issue:2966", + "issue:3431", + "issue:3781", + "issue:4418", + "issue:459", + "issue:4598", + "issue:4615", + "issue:5002", + "issue:5166", + "issue:5442", + "issue:5710", + "issue:5763", + "issue:5846", + "issue:6313", + "issue:6444", + "issue:6481", + "issue:6533", + "issue:6632", + "issue:6949", + "issue:7057", + "issue:7593", + "issue:7836", + "issue:7950", + "issue:8637", + "issue:8708", + "issue:8759", + "issue:8786", + "issue:9051", + "issue:9138", + "issue:9267", + "issue:9370", + "issue:9387", + "issue:9523", + "issue:9953" + ], + "soft_pairs": [ + "issue:5442|issue:6313", + "issue:6533|issue:9387", + "issue:7593|issue:9267", + "issue:8759|issue:8786", + "issue:4418|issue:5763", + "issue:5846|issue:9523", + "issue:10085|issue:9051", + "issue:11062|issue:13001", + "issue:5710|issue:6949", + "issue:10227|issue:9138", + "issue:12610|issue:9953", + "issue:2841|issue:459", + "issue:2966|issue:6444", + "issue:1066|issue:3781", + "issue:10710|issue:9138", + "issue:10860|issue:10963", + "issue:11321|issue:7836", + "issue:11343|issue:8637", + "issue:2941|issue:3431", + "issue:4598|issue:5002", + "issue:4615|issue:7950", + "issue:5166|issue:9370", + "issue:6481|issue:7057", + "issue:6632|issue:8708" + ], + "prepared_review_unit_hash": "60e24e6c4b08a99aec683114571a04bb59f245042292f8c459305fe95856370f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33619, + "estimated_input_tokens": 8405, + "estimated_eval_tokens": 17066 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set; it\u2019s a loose similarity bucket spanning unrelated diffusers bugs, features, training-script issues, scheduler problems, and import regressions. None of the proposed soft pairs look like the same underlying bug/change.", + "confidence": 0.78, + "canonical_issue_reason": "Issue 10085 is the best representative of the cluster\u2019s broadest recurring theme (LoRA/batch-inference runtime failures), but the set is too heterogeneous for a strong canonical duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10085 is the most concrete and central-sounding single bug report among otherwise unrelated items; it is the strongest candidate if one issue must anchor the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5442", + "right": "issue:6313", + "accept": false, + "reason": "Higher-resolution generation pipeline request vs a Null-Text Inversion pipeline implementation request; different features and code paths." + }, + { + "left": "issue:6533", + "right": "issue:9387", + "accept": false, + "reason": "Monocular depth estimation pipeline vs MimicMotion pipeline; unrelated pipeline features." + }, + { + "left": "issue:7593", + "right": "issue:9267", + "accept": false, + "reason": "IP-Adapter embed preparation NoneType error vs missing rope attribute in Flux transformer; different failure sites." + }, + { + "left": "issue:8759", + "right": "issue:8786", + "accept": false, + "reason": "SD3 image cast warning vs SD3 token-limit behavior; not the same bug." + }, + { + "left": "issue:4418", + "right": "issue:5763", + "accept": false, + "reason": "SDXL inpaint denoising_start bug vs save_pretrained safetensors serialization bug; unrelated behavior." + }, + { + "left": "issue:5846", + "right": "issue:9523", + "accept": false, + "reason": "Checkpoint resume error in an SDXL LoRA script vs mapping errors in SD3/SDXL/Flux controlnet training scripts; different concrete problems." + }, + { + "left": "issue:10085", + "right": "issue:9051", + "accept": false, + "reason": "Both mention batch inference, but one is a LyCORIS runtime error with skip_guidance_layers and the other is FluxPipeline batch-inference support; not the same bug." + }, + { + "left": "issue:11062", + "right": "issue:13001", + "accept": false, + "reason": "CivitAI LoRA load failure vs Flux2.Klein GGUF shape mismatch; different models and error causes." + }, + { + "left": "issue:5710", + "right": "issue:6949", + "accept": false, + "reason": "Missing sigmas initialization in a scheduler vs blank images at even step numbers; related area, but different defects." + }, + { + "left": "issue:10227", + "right": "issue:9138", + "accept": false, + "reason": "LoRA feature-limit NotImplementedError vs a generic int/str comparison TypeError; no shared underlying bug." + }, + { + "left": "issue:12610", + "right": "issue:9953", + "accept": false, + "reason": "Both involve quantization/offload, but one is device mismatch under Quanto + Group Offload and the other is cuda transfer failure for a quantized component; not clearly mergeable." + }, + { + "left": "issue:2841", + "right": "issue:459", + "accept": false, + "reason": "Scheduler temperature feature request vs incremental diffusion concept; unrelated requests." + }, + { + "left": "issue:2966", + "right": "issue:6444", + "accept": false, + "reason": "Multi-GPU example problem vs LoRA checkpointing/peft_config AttributeError; different training-script bugs." + }, + { + "left": "issue:1066", + "right": "issue:3781", + "accept": false, + "reason": "Docs builder behavior for forked PRs vs multiple-LoRA loading regression; unrelated." + }, + { + "left": "issue:10710", + "right": "issue:9138", + "accept": false, + "reason": "DDUF support question vs generic TypeError; no overlap in bug/change." + }, + { + "left": "issue:10860", + "right": "issue:10963", + "accept": false, + "reason": "LoRA compatibility in ComfyUI vs missing AutoencoderKLWan import; different subsystems." + }, + { + "left": "issue:11321", + "right": "issue:7836", + "accept": false, + "reason": "Flux ControlNet README bug vs CLIP training overfitting issue; not the same change or defect." + }, + { + "left": "issue:11343", + "right": "issue:8637", + "accept": false, + "reason": "Transformer-update import breakage vs missing PixArtSigmaPipeline import; both import-related, but different missing symbols and causes." + }, + { + "left": "issue:2941", + "right": "issue:3431", + "accept": false, + "reason": "Scheduler output quality issue vs inpainting + ControlNet poor results; same broad area, but distinct bugs." + }, + { + "left": "issue:4598", + "right": "issue:5002", + "accept": false, + "reason": "Missing informative dependency errors vs missing use_karras_sigmas argument on schedulers; unrelated defects." + }, + { + "left": "issue:4615", + "right": "issue:7950", + "accept": false, + "reason": "Pipeline import failure vs PyTorch compatibility problem; different layers of the stack." + }, + { + "left": "issue:5166", + "right": "issue:9370", + "accept": false, + "reason": "VQVAE scaling-factor omission vs missing pooled_projection argument in an embedding forward path; unrelated bugs." + }, + { + "left": "issue:6481", + "right": "issue:7057", + "accept": false, + "reason": "Dreambooth batch-size >1 failure vs an unspecified checkpoint loading issue; not enough evidence of sameness." + }, + { + "left": "issue:6632", + "right": "issue:8708", + "accept": false, + "reason": "Question about save_state in LoRA training vs missing shift_factor in SD3 dreambooth examples; different topics." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 348, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10638", + "issue:11045", + "issue:11232", + "issue:1156", + "issue:12666", + "issue:12881", + "issue:1323", + "issue:1572", + "issue:1798", + "issue:2233", + "issue:2645", + "issue:2673", + "issue:2961", + "issue:3103", + "issue:3249", + "issue:3296", + "issue:3467", + "issue:3871", + "issue:3967", + "issue:4340", + "issue:4580", + "issue:4686", + "issue:487", + "issue:5109", + "issue:5365", + "issue:5429", + "issue:5475", + "issue:5567", + "issue:5693", + "issue:579", + "issue:6726", + "issue:6958", + "issue:7300", + "issue:7350", + "issue:7400", + "issue:7438", + "issue:7456", + "issue:7991", + "issue:8507", + "issue:8511", + "issue:8788", + "issue:9090", + "issue:9161", + "issue:9467", + "issue:9534", + "issue:9793", + "issue:9844", + "issue:9889" + ], + "soft_pairs": [ + "issue:7400|issue:9889", + "issue:7438|issue:9793", + "issue:5475|issue:6726", + "issue:3467|issue:3871", + "issue:7991|issue:9090", + "issue:1323|issue:579", + "issue:1572|issue:3103", + "issue:4340|issue:8507", + "issue:5693|issue:8788", + "issue:1156|issue:3296", + "issue:3249|issue:487", + "issue:2645|issue:5365", + "issue:10638|issue:9844", + "issue:12666|issue:12881", + "issue:1798|issue:5429", + "issue:2233|issue:2961", + "issue:3967|issue:6958", + "issue:7300|issue:7350", + "issue:7456|issue:9467", + "issue:11232|issue:8511", + "issue:4580|issue:5109", + "issue:2673|issue:4686", + "issue:5567|issue:9534", + "issue:11045|issue:9161" + ], + "prepared_review_unit_hash": "4fc957a17bd379a85fa2058509618fc251c3853cca9a13d6e32813629ca7fdc7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33636, + "estimated_input_tokens": 8409, + "estimated_eval_tokens": 17074 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very noisy: the paired issues span unrelated pipelines, schedulers, training scripts, model families, and error modes. None of the proposed soft pairs looks like the same underlying bug.", + "confidence": 0.27, + "canonical_issue_reason": "No strong canonical issue: the set is heterogeneous. If forced to pick the closest representative, issue 8511 is the most concrete training-script bug, but it is not a true cluster center.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 8511 is the most narrowly scoped and actionable bug report in the set (a specific SD3 dreambooth/lora text-encoder unloading problem), but the overall cluster is too mixed for a clean global best.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7400", + "right": "issue:9889", + "accept": false, + "reason": "Different failures and code paths: stable video diffusion black images vs SDXL-turbo segfault with a specific torch/CUDA combo." + }, + { + "left": "issue:7438", + "right": "issue:9793", + "accept": false, + "reason": "XPU generation stall/loading issue is unrelated to a progress bar refresh bug." + }, + { + "left": "issue:5475", + "right": "issue:6726", + "accept": false, + "reason": "Different models/tasks: LaVie video generation vs CCSR super-resolution." + }, + { + "left": "issue:3467", + "right": "issue:3871", + "accept": false, + "reason": "Both involve resuming training, but one is ControlNet step accounting and the other is a text-to-image checkpoint loading error; not the same bug." + }, + { + "left": "issue:7991", + "right": "issue:9090", + "accept": false, + "reason": "A training tutorial bug is unrelated to a scheduler timestep repetition bug." + }, + { + "left": "issue:1323", + "right": "issue:579", + "accept": false, + "reason": "Missing dtype in Flax model configs is unrelated to missing config.json for textual inversion." + }, + { + "left": "issue:1572", + "right": "issue:3103", + "accept": false, + "reason": "Both touch inpainting, but one is pipeline support/compatibility and the other is height/width handling." + }, + { + "left": "issue:4340", + "right": "issue:8507", + "accept": false, + "reason": "Both are training-related, but SDXL LoRA train_text_encoder failure and SD3 train_dreambooth_lora_sd3 failure are different model/script paths." + }, + { + "left": "issue:5693", + "right": "issue:8788", + "accept": false, + "reason": "VAE loading errors and VAE tiling support limitations are different problems." + }, + { + "left": "issue:1156", + "right": "issue:3296", + "accept": false, + "reason": "Generic training failure does not match a specific checkpoint save/load bug when using text_encoder." + }, + { + "left": "issue:3249", + "right": "issue:487", + "accept": false, + "reason": "AttnUpBlock2D argument mismatch is unrelated to M1 CPU runtime failure." + }, + { + "left": "issue:2645", + "right": "issue:5365", + "accept": false, + "reason": "ControlNet CUDA assertion on mac M1 is unrelated to a txt2video num_inference_steps error." + }, + { + "left": "issue:10638", + "right": "issue:9844", + "accept": false, + "reason": "Scheduler scheduling bug and SDXL VAE NaNs are different components with different symptoms." + }, + { + "left": "issue:12666", + "right": "issue:12881", + "accept": false, + "reason": "Kandinsky pipeline availability in a release is unrelated to a prompt2prompt word replacement bug." + }, + { + "left": "issue:1798", + "right": "issue:5429", + "accept": false, + "reason": "Both mention training examples, but one is v_prediction support for SD v2 and the other is missing VAE support in examples." + }, + { + "left": "issue:2233", + "right": "issue:2961", + "accept": false, + "reason": "Textual inversion validation/gradient accumulation issues are not the same as a StableUnCLIP training example request." + }, + { + "left": "issue:3967", + "right": "issue:6958", + "accept": false, + "reason": "A deleted branch regression is unrelated to a UNet motion model configuration bug." + }, + { + "left": "issue:7300", + "right": "issue:7350", + "accept": false, + "reason": "Memory bloat after set_default_attn_processor and ControlNet-from-LoRA initialization are different code-path bugs." + }, + { + "left": "issue:7456", + "right": "issue:9467", + "accept": false, + "reason": "A missing raise statement is unrelated to a num_frames guard-rail bug." + }, + { + "left": "issue:11232", + "right": "issue:8511", + "accept": false, + "reason": "Text-to-image fine-tuning noise residuals and SD3 text-encoder unloading are different training issues with different failure modes." + }, + { + "left": "issue:4580", + "right": "issue:5109", + "accept": false, + "reason": "UniPC/karras sigma scheduler exception is unrelated to SDXL ControlNet LoRA loading." + }, + { + "left": "issue:2673", + "right": "issue:4686", + "accept": false, + "reason": "StableDiffusionUpscalePipeline config verification failure is not the same as failure to load a saved pipeline from_pretrained." + }, + { + "left": "issue:5567", + "right": "issue:9534", + "accept": false, + "reason": "These are both config-attribute problems, but they affect different objects and stem from different causes." + }, + { + "left": "issue:11045", + "right": "issue:9161", + "accept": false, + "reason": "Same script family, but one is a model-loading crash and the other is distributed training bugs; not the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 349, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10045", + "issue:10287", + "issue:10829", + "issue:10950", + "issue:11486", + "issue:1246", + "issue:1335", + "issue:1530", + "issue:1572", + "issue:1717", + "issue:181", + "issue:2177", + "issue:2440", + "issue:2444", + "issue:2737", + "issue:2803", + "issue:3627", + "issue:3698", + "issue:4264", + "issue:4374", + "issue:4400", + "issue:4453", + "issue:4615", + "issue:4806", + "issue:4830", + "issue:4841", + "issue:5004", + "issue:5079", + "issue:5327", + "issue:5466", + "issue:5647", + "issue:6109", + "issue:6801", + "issue:7043", + "issue:7080", + "issue:7185", + "issue:725", + "issue:7267", + "issue:759", + "issue:7686", + "issue:8543", + "issue:8593", + "issue:8786", + "issue:9023", + "issue:9225", + "issue:9237", + "issue:9366", + "issue:9568" + ], + "soft_pairs": [ + "issue:4806|issue:7686", + "issue:11486|issue:9237", + "issue:5647|issue:9366", + "issue:10045|issue:6801", + "issue:10829|issue:7043", + "issue:1572|issue:2440", + "issue:181|issue:2444", + "issue:2737|issue:4400", + "issue:3698|issue:759", + "issue:4264|issue:4453", + "issue:4374|issue:4841", + "issue:4830|issue:9225", + "issue:5004|issue:8543", + "issue:5079|issue:725", + "issue:6109|issue:7080", + "issue:7185|issue:9568", + "issue:8593|issue:8786", + "issue:10287|issue:9023", + "issue:1717|issue:2177", + "issue:10950|issue:7267", + "issue:2803|issue:4615", + "issue:1246|issue:3627", + "issue:1335|issue:1530", + "issue:5327|issue:5466" + ], + "prepared_review_unit_hash": "7e07f2cd7fa040a53d052fe0a1450ee39d6a294865f3cf8d8afa3a52c863715b", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33527, + "estimated_input_tokens": 8382, + "estimated_eval_tokens": 17020 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is not a true duplicate cluster: the items span unrelated docs, training, loading, and pipeline bugs across different code paths. All soft pairs should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No issue cleanly represents the whole set; if forced, issue 9023 is the broadest generic user-facing failure, but it still does not subsume the others.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4806", + "right": "issue:7686", + "accept": false, + "reason": "Both are UNet2DModel-related, but one is a parameter type bug and the other is a missing cross_attention_dim validation error; different defects." + }, + { + "left": "issue:11486", + "right": "issue:9237", + "accept": false, + "reason": "One is a request to enable xformers in a training script; the other is a Flux DreamBooth LoRA training problem. Not the same bug." + }, + { + "left": "issue:5647", + "right": "issue:9366", + "accept": false, + "reason": "Both mention strength in image2image/inpaint flows, but they affect different pipelines and different failure modes." + }, + { + "left": "issue:10045", + "right": "issue:6801", + "accept": false, + "reason": "Importing pipelines and loading schedulers are separate code paths with different symptoms." + }, + { + "left": "issue:10829", + "right": "issue:7043", + "accept": false, + "reason": "OOM during SDXL DreamBooth LoRA inference is unrelated to custom captions in DreamBooth training." + }, + { + "left": "issue:1572", + "right": "issue:2440", + "accept": false, + "reason": "Both touch inpainting, but one is pipeline capability/support and the other is float16 model loading." + }, + { + "left": "issue:181", + "right": "issue:2444", + "accept": false, + "reason": "Different training scripts and different failures; no shared root bug is evident." + }, + { + "left": "issue:2737", + "right": "issue:4400", + "accept": false, + "reason": "CLIP guidance support for a scheduler is unrelated to text_encoder support in a DreamBooth LoRA training script." + }, + { + "left": "issue:3698", + "right": "issue:759", + "accept": false, + "reason": "Model conversion to diffusers and making full-model saving optional are distinct feature requests." + }, + { + "left": "issue:4264", + "right": "issue:4453", + "accept": false, + "reason": "Missing example images and LoRA conversion for Auto1111 are unrelated issues." + }, + { + "left": "issue:4374", + "right": "issue:4841", + "accept": false, + "reason": "Both involve ControlNet/inpaint image sizes, but they target different pipelines and likely different bugs." + }, + { + "left": "issue:4830", + "right": "issue:9225", + "accept": false, + "reason": "Both are size-mismatch reports, but one is MultiControlNet tensors and the other is RGBA latents in an instruct-pix2pix pipeline." + }, + { + "left": "issue:5004", + "right": "issue:8543", + "accept": false, + "reason": "Both are DreamBooth training issues, but they concern different models and different failure conditions." + }, + { + "left": "issue:5079", + "right": "issue:725", + "accept": false, + "reason": "Loading a specific LoRA type is unrelated to adding device map/accelerate support for pipeline loading." + }, + { + "left": "issue:6109", + "right": "issue:7080", + "accept": false, + "reason": "A ControlNet-xs model request and a wandb inference-output mismatch are not the same bug." + }, + { + "left": "issue:7185", + "right": "issue:9568", + "accept": false, + "reason": "PyTorch version support question and CogVideoX autoencoder reconstruction failure are unrelated." + }, + { + "left": "issue:8593", + "right": "issue:8786", + "accept": false, + "reason": "Both are SD3 issues, but one is bfloat16 CPU generation noise and the other is token-length handling." + }, + { + "left": "issue:10287", + "right": "issue:9023", + "accept": false, + "reason": "Both are generic code-example failures, but one is a Hugging Face doc example and the other is a sample code runtime issue; not the same defect." + }, + { + "left": "issue:1717", + "right": "issue:2177", + "accept": false, + "reason": "Offline cache loading and AutoencoderKL loading failure are different pretrained-model loading problems." + }, + { + "left": "issue:10950", + "right": "issue:7267", + "accept": false, + "reason": "Broken docs and broken local training-data loading are unrelated." + }, + { + "left": "issue:2803", + "right": "issue:4615", + "accept": false, + "reason": "Local docs build failure on WSL2 and an import error for a pipeline class are different issues." + }, + { + "left": "issue:1246", + "right": "issue:3627", + "accept": false, + "reason": "Both are training-example errors, but they involve different scripts and different root causes." + }, + { + "left": "issue:1335", + "right": "issue:1530", + "accept": false, + "reason": "Missing constructor args on different pipeline classes are not duplicates." + }, + { + "left": "issue:5327", + "right": "issue:5466", + "accept": false, + "reason": "SDXL textual inversion loading and SDXL LoRA shape mismatch are distinct adapter-loading bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 350, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10165", + "issue:1101", + "issue:11321", + "issue:1141", + "issue:11547", + "issue:12308", + "issue:1358", + "issue:2024", + "issue:2163", + "issue:2265", + "issue:2359", + "issue:2616", + "issue:2856", + "issue:3174", + "issue:3403", + "issue:3612", + "issue:3661", + "issue:3933", + "issue:4236", + "issue:4256", + "issue:4562", + "issue:4677", + "issue:4975", + "issue:5009", + "issue:5070", + "issue:5079", + "issue:5245", + "issue:525", + "issue:5313", + "issue:5689", + "issue:6238", + "issue:6321", + "issue:646", + "issue:6520", + "issue:6921", + "issue:6928", + "issue:6949", + "issue:699", + "issue:7061", + "issue:7147", + "issue:7877", + "issue:7968", + "issue:8673", + "issue:9239", + "issue:9599", + "issue:9613", + "issue:9619" + ], + "soft_pairs": [ + "issue:6238|issue:6921", + "issue:11321|issue:9239", + "issue:11547|issue:9599", + "issue:12308|issue:9619", + "issue:1358|issue:699", + "issue:2024|issue:646", + "issue:2359|issue:3612", + "issue:3403|issue:7061", + "issue:3933|issue:4975", + "issue:7968|issue:8673", + "issue:3661|issue:6321", + "issue:4236|issue:4677", + "issue:5245|issue:7147", + "issue:2163|issue:2265", + "issue:4256|issue:5009", + "issue:10165|issue:9613", + "issue:1101|issue:1141", + "issue:2616|issue:525", + "issue:2856|issue:4562", + "issue:3174|issue:5313", + "issue:5070|issue:6928", + "issue:5079|issue:7877", + "issue:5689|issue:6921", + "issue:6520|issue:6949" + ], + "prepared_review_unit_hash": "d853243fdc15e0319e38ebc356974f9a34d6d62005a53d4f742cf7b80cb6d052", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32966, + "estimated_input_tokens": 8242, + "estimated_eval_tokens": 16740 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set; it mixes many unrelated issues across LoRA, SDXL, ControlNet, schedulers, model conversion, docs, and attention. None of the soft edge pairs should be merged.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue fits: the items span unrelated bugs and feature requests, so there is no clear duplicate target for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is globally suitable as a canonical duplicate target for this cluster because the topics are too heterogeneous.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6238", + "right": "issue:6921", + "accept": false, + "reason": "SDXL VAE behavior vs SDXL shipped weights deviation; related domain, but not the same bug or fix." + }, + { + "left": "issue:11321", + "right": "issue:9239", + "accept": false, + "reason": "ReadMe bug for Flux controlnet training vs black output from ControlNet-Canny; different problem types and code paths." + }, + { + "left": "issue:11547", + "right": "issue:9599", + "accept": false, + "reason": "Flux fill dev controlnet support request vs request for a LoRA-only FLUX.1 example; separate feature asks." + }, + { + "left": "issue:12308", + "right": "issue:9619", + "accept": false, + "reason": "flash-attn support on non-Hopper GPUs is unrelated to adding interrupt support to a ControlNet pipeline." + }, + { + "left": "issue:1358", + "right": "issue:699", + "accept": false, + "reason": "Safetensors support and negative prompts are different features with no shared bug." + }, + { + "left": "issue:2024", + "right": "issue:646", + "accept": false, + "reason": "Corrupted notebook file vs missing set_format on an old scheduler; unrelated issues." + }, + { + "left": "issue:2359", + "right": "issue:3612", + "accept": false, + "reason": "Img2Img latent output_type support vs creating ControlNet without a model; different pipeline changes." + }, + { + "left": "issue:3403", + "right": "issue:7061", + "accept": false, + "reason": "TorchDynamo pipeline loading bug vs incorrect community pipeline docstring; code bug vs documentation issue." + }, + { + "left": "issue:3933", + "right": "issue:4975", + "accept": false, + "reason": "Graph compile logging failure vs slow LoRA loading from repeated dtype queries; different subsystems and fixes." + }, + { + "left": "issue:7968", + "right": "issue:8673", + "accept": false, + "reason": "UNetMotionModel attention behavior vs missing attention masks in SD3; both attention-related but not the same defect." + }, + { + "left": "issue:3661", + "right": "issue:6321", + "accept": false, + "reason": "from_ckpt failing on SD2 weights vs CLIP model detection failure; different loading paths and causes." + }, + { + "left": "issue:4236", + "right": "issue:4677", + "accept": false, + "reason": "SDXL refiner text encoder registration issue vs broken inpainting doc script; unrelated problems." + }, + { + "left": "issue:5245", + "right": "issue:7147", + "accept": false, + "reason": "pipenv import freeze vs missing StableCascadeDecoderPipeline import; no common bug or change." + }, + { + "left": "issue:2163", + "right": "issue:2265", + "accept": false, + "reason": "UNet dtype mismatch in train_text_to_image vs ONNXRuntime incompatibility in unconditional training; distinct failures." + }, + { + "left": "issue:4256", + "right": "issue:5009", + "accept": false, + "reason": "SDXL Dreambooth error vs Wuerstchen error; different models and error causes." + }, + { + "left": "issue:10165", + "right": "issue:9613", + "accept": false, + "reason": "LoRA seed preservation on scale change vs Timesteps.scale attribute error; completely different code paths." + }, + { + "left": "issue:1101", + "right": "issue:1141", + "accept": false, + "reason": "DPM-Solver scheduler request vs local file support in custom pipelines; unrelated feature requests." + }, + { + "left": "issue:2616", + "right": "issue:525", + "accept": false, + "reason": "save_attn_procs NoneType replace error vs local-disk image loading notebook issue; different symptoms and fixes." + }, + { + "left": "issue:2856", + "right": "issue:4562", + "accept": false, + "reason": "Generic SD-to-diffusers conversion vs XL safetensors-to-pipeline conversion; both about conversion, but not the same concrete bug." + }, + { + "left": "issue:3174", + "right": "issue:5313", + "accept": false, + "reason": "LoRA/Dreambooth loading regression vs non-revertible LoRA fuse; separate LoRA behaviors." + }, + { + "left": "issue:5070", + "right": "issue:6928", + "accept": false, + "reason": "ControlNet training flags request vs depthmap colorization option; unrelated features." + }, + { + "left": "issue:5079", + "right": "issue:7877", + "accept": false, + "reason": "Lycoris loading support vs Attention out_dim argument; different APIs entirely." + }, + { + "left": "issue:5689", + "right": "issue:6921", + "accept": false, + "reason": "DPM++ residual noise in SDXL images vs SDXL weights deviation; same model family, but different underlying issues." + }, + { + "left": "issue:6520", + "right": "issue:6949", + "accept": false, + "reason": "Blank validation results during adapter training vs blank images at even steps in DPMSolverSinglestepScheduler; different bugs and contexts." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 351, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10017", + "issue:10198", + "issue:11035", + "issue:11136", + "issue:11447", + "issue:12060", + "issue:12195", + "issue:12695", + "issue:13225", + "issue:181", + "issue:1923", + "issue:2412", + "issue:3026", + "issue:3120", + "issue:3209", + "issue:3432", + "issue:3808", + "issue:4061", + "issue:4134", + "issue:4178", + "issue:4263", + "issue:4279", + "issue:4354", + "issue:4764", + "issue:4912", + "issue:5368", + "issue:5466", + "issue:5518", + "issue:5577", + "issue:5803", + "issue:5923", + "issue:6520", + "issue:7000", + "issue:7012", + "issue:7049", + "issue:7197", + "issue:7619", + "issue:782", + "issue:7851", + "issue:7962", + "issue:7991", + "issue:8464", + "issue:8604", + "issue:861", + "issue:8732", + "issue:9332", + "issue:9613", + "issue:9822" + ], + "soft_pairs": [ + "issue:3432|issue:7012", + "issue:10017|issue:6520", + "issue:11136|issue:9613", + "issue:3808|issue:7619", + "issue:4134|issue:7851", + "issue:3209|issue:7000", + "issue:4764|issue:5466", + "issue:5923|issue:8732", + "issue:7991|issue:8604", + "issue:5368|issue:7049", + "issue:5577|issue:7197", + "issue:11035|issue:12695", + "issue:11447|issue:12195", + "issue:12060|issue:13225", + "issue:181|issue:3026", + "issue:4061|issue:4263", + "issue:4178|issue:4354", + "issue:4912|issue:7962", + "issue:782|issue:861", + "issue:1923|issue:2412", + "issue:3120|issue:5803", + "issue:4279|issue:5518", + "issue:8464|issue:9332", + "issue:10198|issue:9822" + ], + "prepared_review_unit_hash": "1fa1c51eac68418ac24753878425a3d3927fec73da8ca706dbb4d3edb735bf7f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34115, + "estimated_input_tokens": 8529, + "estimated_eval_tokens": 17314 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster looks like a loose semantic grouping rather than true duplicates: the paired issues span unrelated bugs in training, loading, LoRA handling, conversion, and pipeline behavior. I did not find any pair that clearly shares the same concrete root cause, so all soft edges are rejected.", + "confidence": 0.64, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 9332 is the strongest standalone candidate because it is an open, user-facing model-loading failure with a clear symptom and broad impact; the other items are either very specific one-off errors or clearly unrelated topics.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3432", + "right": "issue:7012", + "accept": false, + "reason": "Different failures: CPU half-precision conv error vs. v-prediction producing odd images. Same general training area, but not the same bug." + }, + { + "left": "issue:10017", + "right": "issue:6520", + "accept": false, + "reason": "Loading dataset problem vs. blank validation outputs during adapter training. No shared code-path or symptom." + }, + { + "left": "issue:11136", + "right": "issue:9613", + "accept": false, + "reason": "One is a SanaSprintPipeline feature limitation; the other is a custom-model attribute error in a different version path." + }, + { + "left": "issue:3808", + "right": "issue:7619", + "accept": false, + "reason": "Both are training issues, but for different models and different failures (DeepFloyd IF stage-2 vs. Dreambooth channel mismatch)." + }, + { + "left": "issue:4134", + "right": "issue:7851", + "accept": false, + "reason": "MPS ControlNet tensor-size mismatch is unrelated to concurrent pipeline index-out-of-bounds behavior." + }, + { + "left": "issue:3209", + "right": "issue:7000", + "accept": false, + "reason": "NaNs in AutoencoderKL encoding and a PyTorch deprecation warning are not the same bug." + }, + { + "left": "issue:4764", + "right": "issue:5466", + "accept": false, + "reason": "Both mention LoRA loading, but one is about an OFT-generated LoRA and the other about SDXL img2img shape mismatch; no evidence of the same root cause." + }, + { + "left": "issue:5923", + "right": "issue:8732", + "accept": false, + "reason": "Multi-GPU training hang and checkpoint-saving issues are different failure modes with no concrete overlap." + }, + { + "left": "issue:7991", + "right": "issue:8604", + "accept": false, + "reason": "A basic training tutorial bug is unrelated to corrupted images after converting a T5 encoder to fp16." + }, + { + "left": "issue:5368", + "right": "issue:7049", + "accept": false, + "reason": "Mixed-precision dtype mismatch is unrelated to IP-Adapter unpacking errors." + }, + { + "left": "issue:5577", + "right": "issue:7197", + "accept": false, + "reason": "Different KeyErrors in different flows: ControlNet single-file loading vs. resume-training preprocessing." + }, + { + "left": "issue:11035", + "right": "issue:12695", + "accept": false, + "reason": "Symlink handling in from_single_file download is unrelated to Hunyuan v1.5 model support." + }, + { + "left": "issue:11447", + "right": "issue:12195", + "accept": false, + "reason": "Offline shard-file lookup failure and a PyTorch custom_op incompatibility are distinct issues." + }, + { + "left": "issue:12060", + "right": "issue:13225", + "accept": false, + "reason": "A question about whether DiT blocks exist is not the same as RAE+DiT checkpoint support." + }, + { + "left": "issue:181", + "right": "issue:3026", + "accept": false, + "reason": "Train_unconditional image-writing failure and instruct-pix2pix single-GPU launch error are unrelated." + }, + { + "left": "issue:4061", + "right": "issue:4263", + "accept": false, + "reason": "Load-LoRA error and LoRA unloading broken are opposite operations and different bugs." + }, + { + "left": "issue:4178", + "right": "issue:4354", + "accept": false, + "reason": "LoRA unloading with XFormers is unrelated to from_single_file returning the wrong pipeline type." + }, + { + "left": "issue:4912", + "right": "issue:7962", + "accept": false, + "reason": "Checkpoint conversion to diffusers and adding cross_attention_kwargs to instruct-pix2pix are different feature requests." + }, + { + "left": "issue:782", + "right": "issue:861", + "accept": false, + "reason": "Model download/auth-token regression is unrelated to ckpt-to-diffusers conversion failure." + }, + { + "left": "issue:1923", + "right": "issue:2412", + "accept": false, + "reason": "Missing CUDA libs in a Docker/bitsandbytes setup is not the same as a Dreambooth error." + }, + { + "left": "issue:3120", + "right": "issue:5803", + "accept": false, + "reason": "ControlNet training producing identical outputs and black-image reproduction are different problems." + }, + { + "left": "issue:4279", + "right": "issue:5518", + "accept": false, + "reason": "Both are LoRA-related, but one is a load-compatibility problem and the other is a ModuleList attribute error; not the same bug." + }, + { + "left": "issue:8464", + "right": "issue:9332", + "accept": false, + "reason": "Seed-dependent SEGA cpu-offload failure is unrelated to StableDiffusionPipeline loading the wrong weights." + }, + { + "left": "issue:10198", + "right": "issue:9822", + "accept": false, + "reason": "A generic Flux weight mismatch is too different from specifically loading SDXL LoRAs into Flux; insufficient evidence of one shared bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 352, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1009", + "issue:10772", + "issue:10897", + "issue:11220", + "issue:11343", + "issue:12173", + "issue:12369", + "issue:1284", + "issue:1604", + "issue:1957", + "issue:2265", + "issue:2459", + "issue:2830", + "issue:3452", + "issue:3570", + "issue:3679", + "issue:3748", + "issue:3954", + "issue:4158", + "issue:4398", + "issue:4414", + "issue:4438", + "issue:4615", + "issue:4771", + "issue:4804", + "issue:4912", + "issue:4977", + "issue:5084", + "issue:5824", + "issue:5953", + "issue:6218", + "issue:6348", + "issue:6703", + "issue:7102", + "issue:7168", + "issue:7370", + "issue:7606", + "issue:7736", + "issue:7945", + "issue:8493", + "issue:8502", + "issue:861", + "issue:8915", + "issue:9186", + "issue:9546", + "issue:962", + "issue:9958" + ], + "soft_pairs": [ + "issue:10897|issue:7370", + "issue:11220|issue:8502", + "issue:12173|issue:12369", + "issue:3452|issue:6703", + "issue:3570|issue:861", + "issue:3748|issue:7606", + "issue:4438|issue:5824", + "issue:4615|issue:5084", + "issue:4912|issue:7736", + "issue:6218|issue:7102", + "issue:1604|issue:2265", + "issue:1957|issue:3954", + "issue:4771|issue:8493", + "issue:4804|issue:962", + "issue:1009|issue:2459", + "issue:10772|issue:9186", + "issue:11343|issue:8915", + "issue:1284|issue:4414", + "issue:2830|issue:3679", + "issue:4398|issue:4977", + "issue:5953|issue:9546", + "issue:6348|issue:9958", + "issue:7168|issue:7945", + "issue:4158|issue:7168" + ], + "prepared_review_unit_hash": "6d5d55169f29ea5343f012a35436c4d339ad8108f12fe0c3921eee8517567964", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33189, + "estimated_input_tokens": 8298, + "estimated_eval_tokens": 16852 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of false-positive similarity matches across unrelated issues. I found no pair that clearly describes the same underlying bug/change, so all soft edges should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": "issue:11343 is the broadest, most actionable bug in the set: a dependency-induced import regression affecting diffusers modules. It is the best available anchor, even though the surrounding items are not true duplicates.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11343 has a clear regression report, user impact, and discussion, making it the strongest representative issue in an otherwise heterogeneous cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10897", + "right": "issue:7370", + "accept": false, + "reason": "Different requests for different model families: Sana ControlNet support vs OpenSora/STDiT support." + }, + { + "left": "issue:11220", + "right": "issue:8502", + "accept": false, + "reason": "Documentation page problem vs SD3 medium 512x512 generation issue; unrelated code paths." + }, + { + "left": "issue:12173", + "right": "issue:12369", + "accept": false, + "reason": "Different Wan model use cases: i2i latent upscale vs 4K CineScale." + }, + { + "left": "issue:3452", + "right": "issue:6703", + "accept": false, + "reason": "Low-VRAM DreamBooth training question vs textual inversion/negative-prompt behavior; different bugs." + }, + { + "left": "issue:3570", + "right": "issue:861", + "accept": false, + "reason": "Different CKPT-related problems: disabling downloads vs converting checkpoints to diffusers." + }, + { + "left": "issue:3748", + "right": "issue:7606", + "accept": false, + "reason": "LoRA tensor dtype mismatch vs deprecated Kandinsky LoRA processor; not the same failure." + }, + { + "left": "issue:4438", + "right": "issue:5824", + "accept": false, + "reason": "Generic SDXL pipeline error vs a specific get_add_time_ids default-value bug." + }, + { + "left": "issue:4615", + "right": "issue:5084", + "accept": false, + "reason": "Import failures for different pipeline classes and different backends." + }, + { + "left": "issue:4912", + "right": "issue:7736", + "accept": false, + "reason": "Checkpoint conversion request vs callback API feature request; unrelated." + }, + { + "left": "issue:6218", + "right": "issue:7102", + "accept": false, + "reason": "Batched seeds bug vs multicontrolnet/multi-prompt bug; different control-flow issues." + }, + { + "left": "issue:1604", + "right": "issue:2265", + "accept": false, + "reason": "LPW script breakage on a diffusers version vs ONNXRuntime incompatibility; different causes." + }, + { + "left": "issue:1957", + "right": "issue:3954", + "accept": false, + "reason": "Scheduler init fix vs wrong multi-GPU step count; both scheduler-related but not the same bug." + }, + { + "left": "issue:4771", + "right": "issue:8493", + "accept": false, + "reason": "Loading a fine-tuned model vs SD3Transformer2DModel state_dict loading errors; different model/load paths." + }, + { + "left": "issue:4804", + "right": "issue:962", + "accept": false, + "reason": "LoRA loader dictionary mutation vs inpaint size limitation; unrelated issues." + }, + { + "left": "issue:1009", + "right": "issue:2459", + "accept": false, + "reason": "Textual inversion weight decay bug vs xformers attention not working in LoRA training; different training problems." + }, + { + "left": "issue:10772", + "right": "issue:9186", + "accept": false, + "reason": "Support request for Sana ControlNet vs differential diffusion with ControlNet pipeline; not the same change." + }, + { + "left": "issue:11343", + "right": "issue:8915", + "accept": false, + "reason": "Both are import errors, but they involve different symbols and likely different dependency regressions." + }, + { + "left": "issue:1284", + "right": "issue:4414", + "accept": false, + "reason": "Batch-size performance complaint vs consistency-model sampling issue; no concrete overlap." + }, + { + "left": "issue:2830", + "right": "issue:3679", + "accept": false, + "reason": "Question about image+text to video vs announcement of new text2video models; different topics." + }, + { + "left": "issue:4398", + "right": "issue:4977", + "accept": false, + "reason": "Black SDXL LoRA outputs vs checkpoint cleanup in unconditional training; unrelated." + }, + { + "left": "issue:5953", + "right": "issue:9546", + "accept": false, + "reason": "Control image size mismatch crash vs validation OOM in Flux ControlNet training; different failure modes." + }, + { + "left": "issue:6348", + "right": "issue:9958", + "accept": false, + "reason": "3D AutoencoderKL support vs temporal-decoder tiling support; separate enhancement requests." + }, + { + "left": "issue:7168", + "right": "issue:7945", + "accept": false, + "reason": "IP-Adapter embedding shape problem vs community pipeline combination request; unrelated." + }, + { + "left": "issue:4158", + "right": "issue:7168", + "accept": false, + "reason": "from_single_file performance hang vs IP-Adapter tensor-shape issue; no shared bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 353, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10382", + "issue:10511", + "issue:10573", + "issue:10937", + "issue:11022", + "issue:11077", + "issue:11135", + "issue:1161", + "issue:11885", + "issue:11962", + "issue:11989", + "issue:1883", + "issue:2822", + "issue:2838", + "issue:2905", + "issue:2966", + "issue:3113", + "issue:3347", + "issue:3366", + "issue:3570", + "issue:3674", + "issue:3787", + "issue:3811", + "issue:4217", + "issue:4419", + "issue:4724", + "issue:5153", + "issue:5256", + "issue:5410", + "issue:5604", + "issue:5630", + "issue:5977", + "issue:6001", + "issue:6154", + "issue:6320", + "issue:6363", + "issue:7057", + "issue:7519", + "issue:752", + "issue:7735", + "issue:8440", + "issue:8534", + "issue:8759", + "issue:8922", + "issue:9042", + "issue:9667", + "issue:9686", + "issue:9930" + ], + "soft_pairs": [ + "issue:2905|issue:5256", + "issue:3570|issue:7057", + "issue:4419|issue:7519", + "issue:10382|issue:9930", + "issue:3347|issue:3787", + "issue:3674|issue:6363", + "issue:5410|issue:5630", + "issue:10573|issue:11989", + "issue:11962|issue:9042", + "issue:3113|issue:5153", + "issue:3366|issue:4724", + "issue:5977|issue:8440", + "issue:6001|issue:8922", + "issue:8534|issue:9686", + "issue:10511|issue:11135", + "issue:11022|issue:11885", + "issue:2822|issue:4217", + "issue:2838|issue:752", + "issue:7735|issue:8759", + "issue:2966|issue:6154", + "issue:6320|issue:9667", + "issue:10937|issue:11077", + "issue:3811|issue:5604", + "issue:1161|issue:1883" + ], + "prepared_review_unit_hash": "c084ede76b109112aa59b51cb3e0bfb59151e005dd43bae453730c69e2fd0223", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 34105, + "estimated_input_tokens": 8527, + "estimated_eval_tokens": 17310 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated Diffusers issues spanning schedulers, LoRA, SDXL/SD3, Flux, training scripts, and model loading. All soft-edge candidate pairs look like false duplicates; the only strong duplicate signal in the input is the explicit reference between issue 8759 and 8922, which is outside the soft-pair list.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 8759 is the best anchor only because it is a concrete, well-scoped bug report and it has an explicit duplicate reference to issue 8922, giving it stronger triage signal than the other items.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 8759 is the strongest issue candidate in this set: it has a specific runtime warning, a reproducible SD3 image-processing problem, and an explicit duplicate linkage, making it the most suitable representative issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2905", + "right": "issue:5256", + "accept": false, + "reason": "Scheduler-wide Karras sigmas support and Insta-Flow training support are different features with different code paths." + }, + { + "left": "issue:3570", + "right": "issue:7057", + "accept": false, + "reason": "One is about disabling downloads when loading checkpoints; the other is a checkpoint that does not work. Different bug surfaces." + }, + { + "left": "issue:4419", + "right": "issue:7519", + "accept": false, + "reason": "Offset-noise inference support and ignored cross_attention_kwargs['scale'] affect different mechanisms and are not the same bug." + }, + { + "left": "issue:10382", + "right": "issue:9930", + "accept": false, + "reason": "VAE encoder return-type mismatch causing AttributeError and PAG adaptive scale bug are unrelated failures." + }, + { + "left": "issue:3347", + "right": "issue:3787", + "accept": false, + "reason": "NaN image output versus import-time partial initialization error are different problem classes." + }, + { + "left": "issue:3674", + "right": "issue:6363", + "accept": false, + "reason": "Metadata JSONL parsing and FP16 gradient unscale errors occur in different parts of the training pipeline." + }, + { + "left": "issue:5410", + "right": "issue:5630", + "accept": false, + "reason": "Both mention SDXL image quality, but one is blurry latent upscale and the other is leftover noise in img2img; not the same concrete defect." + }, + { + "left": "issue:10573", + "right": "issue:11989", + "accept": false, + "reason": "Multiple-controlnet padding-mask handling and black images from weight issues are distinct failures." + }, + { + "left": "issue:11962", + "right": "issue:9042", + "accept": false, + "reason": "GGUF quantized FLUX.1-Kontext-dev support and adding a Flux pipeline are different feature requests." + }, + { + "left": "issue:3113", + "right": "issue:5153", + "accept": false, + "reason": "Cross-attention layout guidance and FreeU are separate inference techniques with different implementations." + }, + { + "left": "issue:3366", + "right": "issue:4724", + "accept": false, + "reason": "LoRALinearLayer autocast interference and SDXL img2img checkpoint mismatch are unrelated bugs." + }, + { + "left": "issue:5977", + "right": "issue:8440", + "accept": false, + "reason": "Saving unet.unet keys during LoRA training and FromOriginalModelMixin subclass ValueError are different serialization/initialization issues." + }, + { + "left": "issue:6001", + "right": "issue:8922", + "accept": false, + "reason": "SDXL inpaint-from-single-file returning Img2ImgPipeline and SD3 quantized model producing black images are different model-loading bugs." + }, + { + "left": "issue:8534", + "right": "issue:9686", + "accept": false, + "reason": "SD3 dreambooth logit-normal weighting and SD3 ControlNet pooled-projections bug are separate SD3 issues." + }, + { + "left": "issue:10511", + "right": "issue:11135", + "accept": false, + "reason": "FlowMatchEulerDiscreteScheduler redesign and SmoothCache pipeline addition are unrelated changes." + }, + { + "left": "issue:11022", + "right": "issue:11885", + "accept": false, + "reason": "Quanto support for WAN 2.1 and FLUX.1 LoRA loading are unrelated model-specific problems." + }, + { + "left": "issue:2822", + "right": "issue:4217", + "accept": false, + "reason": "Training convergence on ControlNet and slow safetensors loading are not the same underlying bug." + }, + { + "left": "issue:2838", + "right": "issue:752", + "accept": false, + "reason": "ControlNet pipeline behavior and Dreambooth multi-concept support are different feature requests." + }, + { + "left": "issue:7735", + "right": "issue:8759", + "accept": false, + "reason": "Dataset caption column lookup failure and SD3 image_processor cast warning are unrelated issues." + }, + { + "left": "issue:2966", + "right": "issue:6154", + "accept": false, + "reason": "Multi-GPU instruct-pix2pix training and SDXL LoRA training on M2 are different environment-specific problems." + }, + { + "left": "issue:6320", + "right": "issue:9667", + "accept": false, + "reason": "Emu2 remote model lookup failure and FLUX fp8 loading with local transformer file are unrelated model-loading bugs." + }, + { + "left": "issue:10937", + "right": "issue:11077", + "accept": false, + "reason": "torch.compile errors on vae.encode and the VAE convert script discussion do not describe the same defect." + }, + { + "left": "issue:3811", + "right": "issue:5604", + "accept": false, + "reason": "LoRA loading having no effect and unfusing multiple LoRA being impossible are separate LoRA lifecycle problems." + }, + { + "left": "issue:1161", + "right": "issue:1883", + "accept": false, + "reason": "Flax-to-PyTorch conversion and enabling gradient checkpointing for VAE are unrelated requests." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 354, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10085", + "issue:10712", + "issue:11363", + "issue:12009", + "issue:1214", + "issue:13001", + "issue:1608", + "issue:1851", + "issue:2244", + "issue:2276", + "issue:2462", + "issue:2552", + "issue:3073", + "issue:4057", + "issue:4061", + "issue:4064", + "issue:4109", + "issue:4321", + "issue:4491", + "issue:4665", + "issue:4872", + "issue:5108", + "issue:5135", + "issue:5567", + "issue:5574", + "issue:5794", + "issue:5835", + "issue:6008", + "issue:6274", + "issue:6435", + "issue:6774", + "issue:7180", + "issue:730", + "issue:752", + "issue:7706", + "issue:7801", + "issue:7945", + "issue:7946", + "issue:7982", + "issue:8429", + "issue:8472", + "issue:8898", + "issue:9134", + "issue:9291", + "issue:9674", + "issue:9680", + "issue:9686" + ], + "soft_pairs": [ + "issue:2462|issue:752", + "issue:3073|issue:4064", + "issue:4321|issue:5835", + "issue:11363|issue:8429", + "issue:5135|issue:8472", + "issue:5567|issue:7982", + "issue:7180|issue:7706", + "issue:1851|issue:730", + "issue:4109|issue:7946", + "issue:5574|issue:6008", + "issue:1608|issue:4872", + "issue:2552|issue:4057", + "issue:5108|issue:6274", + "issue:6435|issue:9686", + "issue:10085|issue:10712", + "issue:2276|issue:6774", + "issue:4061|issue:4491", + "issue:4665|issue:5794", + "issue:9134|issue:9291", + "issue:12009|issue:13001", + "issue:1214|issue:2244", + "issue:7801|issue:9674", + "issue:7945|issue:9680", + "issue:7946|issue:8898" + ], + "prepared_review_unit_hash": "79bdb8bbde78991e911b535c1e922173b3b277a2230738d3778ab3b1db90a0ec", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 33027, + "estimated_input_tokens": 8257, + "estimated_eval_tokens": 16770 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated bug reports or feature requests across different pipelines, training flows, and model families. The only plausible duplicate pair is the T2I-Adapter/MultiAdapter XL pair; everything else looks like distinct issues.", + "confidence": 0.86, + "canonical_issue_reason": "Issue 6274 is the best canonical tracker for the only likely duplicate family: it is broader and more explicit about multi-adapter breakage than 5108.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6274 is the strongest representative overall because it most clearly describes the shared multi-adapter failure mode; the rest of the set does not form a coherent duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2462", + "right": "issue:752", + "accept": false, + "reason": "Different topics: IterableDataset finetuning support vs multi-concept DreamBooth support." + }, + { + "left": "issue:3073", + "right": "issue:4064", + "accept": false, + "reason": "Different feature requests: consistency models vs PSLD upscaler/deblur/inpainting pipelines." + }, + { + "left": "issue:4321", + "right": "issue:5835", + "accept": false, + "reason": "Unrelated failures: DirectML FP16 black images vs MusicLDM pipeline usage." + }, + { + "left": "issue:11363", + "right": "issue:8429", + "accept": false, + "reason": "ControlNet example CUDA OOM is not the same bug as the I2VGen-XL inference script malfunction." + }, + { + "left": "issue:5135", + "right": "issue:8472", + "accept": false, + "reason": "LoRA quality/xformers behavior is a different problem from questions about simultaneous LoRA pretraining with other modules." + }, + { + "left": "issue:5567", + "right": "issue:7982", + "accept": false, + "reason": "Different code paths: accelerator.prepare overwriting unet.config vs from_pipe failing with MultiControlNetModel." + }, + { + "left": "issue:7180", + "right": "issue:7706", + "accept": false, + "reason": "SDXL ControlNet CPU offload failure and custom-pipeline CUDA OOM are distinct issues." + }, + { + "left": "issue:1851", + "right": "issue:730", + "accept": false, + "reason": "Both are DreamBooth-related, but one is multi-GPU slowdown and the other is local-vs-Colab learning behavior; not the same bug." + }, + { + "left": "issue:4109", + "right": "issue:7946", + "accept": false, + "reason": "Broken SDXL inpaint pipeline and custom_pipeline caching are separate concerns." + }, + { + "left": "issue:5574", + "right": "issue:6008", + "accept": false, + "reason": "Training partial UNet attention with LoRA is unrelated to IP-Adapter Plus Face failing with LCM LoRA." + }, + { + "left": "issue:1608", + "right": "issue:4872", + "accept": false, + "reason": "Training stopping at 500 steps and SDXL finetuning OOM on T4 are different symptoms and likely different causes." + }, + { + "left": "issue:2552", + "right": "issue:4057", + "accept": false, + "reason": "Tutorial/model-request question vs blurred output from finetuned inpainting are not duplicates." + }, + { + "left": "issue:5108", + "right": "issue:6274", + "accept": true, + "reason": "Both report multi-adapter/T2I-Adapter breakage in the XL path; they look like the same underlying adapter composition bug." + }, + { + "left": "issue:6435", + "right": "issue:9686", + "accept": false, + "reason": "Default width/height initialization in ControlNet is unrelated to the SD3 ControlNet pooled-projections bug." + }, + { + "left": "issue:10085", + "right": "issue:10712", + "accept": false, + "reason": "LyCORIS batch inference with skip_guidance_layers and SD3 prompt_embeds runtime error are different runtime failures." + }, + { + "left": "issue:2276", + "right": "issue:6774", + "accept": false, + "reason": "xformers installation on Colab and AttentionProcessor dtype mismatch are separate issues." + }, + { + "left": "issue:4061", + "right": "issue:4491", + "accept": false, + "reason": "SDXL LoRA loading error and SDXL refiner regression are not the same failure mode." + }, + { + "left": "issue:4665", + "right": "issue:5794", + "accept": false, + "reason": "Windows safetensors/bin-file selection is unrelated to the missing tokenizer/config.json on SDXL base." + }, + { + "left": "issue:9134", + "right": "issue:9291", + "accept": false, + "reason": "Both concern FLUX LoRAs, but one is a training/result quality issue and the other is key-format compatibility." + }, + { + "left": "issue:12009", + "right": "issue:13001", + "accept": false, + "reason": "Wan2.2 GGUF loading/meta-tensor failure and Flux2.Klein GGUF shape mismatch are different model-loading problems." + }, + { + "left": "issue:1214", + "right": "issue:2244", + "accept": false, + "reason": "Half-precision CLIPTextModel problems and DreamBooth CPU Half norm errors are related only at a very broad precision level, not the same bug." + }, + { + "left": "issue:7801", + "right": "issue:9674", + "accept": false, + "reason": "Mixed-precision not actually producing fp16 and SD3 ControlNet training quality are different problems." + }, + { + "left": "issue:7945", + "right": "issue:9680", + "accept": false, + "reason": "Community pipeline composition is unrelated to SDXL unconditional generation being broken." + }, + { + "left": "issue:7946", + "right": "issue:8898", + "accept": false, + "reason": "custom_pipeline caching and from_pretrained subfolder path resolution are different loading behaviors." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The only accepted soft-edge pair, 5108/6274, is a plausible duplicate family based on the titles, and the remaining pairwise rejections do not overclaim similarity." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 355, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10026", + "issue:10277", + "issue:10500", + "issue:1070", + "issue:11127", + "issue:1214", + "issue:12689", + "issue:1271", + "issue:13077", + "issue:1546", + "issue:1616", + "issue:1791", + "issue:2312", + "issue:2447", + "issue:2495", + "issue:2578", + "issue:2644", + "issue:2858", + "issue:2907", + "issue:3094", + "issue:3181", + "issue:3199", + "issue:3213", + "issue:3624", + "issue:3631", + "issue:3884", + "issue:4122", + "issue:4282", + "issue:4686", + "issue:4854", + "issue:4874", + "issue:4923", + "issue:5463", + "issue:5509", + "issue:5546", + "issue:5596", + "issue:5967", + "issue:6240", + "issue:6661", + "issue:6793", + "issue:6869", + "issue:7102", + "issue:785", + "issue:7851", + "issue:8407", + "issue:9479", + "issue:9704", + "issue:9889" + ], + "soft_pairs": [ + "issue:1791|issue:2578", + "issue:3199|issue:3213", + "issue:4282|issue:7102", + "issue:7851|issue:9479", + "issue:12689|issue:13077", + "issue:1070|issue:4854", + "issue:6240|issue:9704", + "issue:4686|issue:6793", + "issue:1616|issue:2907", + "issue:2447|issue:3884", + "issue:5967|issue:9889", + "issue:1546|issue:785", + "issue:2858|issue:4923", + "issue:2312|issue:3631", + "issue:10026|issue:11127", + "issue:10277|issue:8407", + "issue:3624|issue:5509", + "issue:10500|issue:6869", + "issue:1214|issue:2644", + "issue:3094|issue:5596", + "issue:1271|issue:3181", + "issue:2495|issue:6661", + "issue:4122|issue:5546", + "issue:4874|issue:5463" + ], + "prepared_review_unit_hash": "7e6a16744d7299daa0465638d1d87452c7b5482d3638a1a2ae14c5934b7b9a20", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 33891, + "estimated_input_tokens": 8473, + "estimated_eval_tokens": 17202 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the soft pairs mostly share only a subsystem or keyword, not the same concrete bug/change, so none should be merged.", + "confidence": 0.87, + "canonical_issue_reason": "No single canonical issue: the items span unrelated bugs, feature requests, and environment-specific failures, so they should not be collapsed into one report.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 3199 is the broadest and most representative issue in the set, with stronger discussion/inbound signal than the other nearby pipeline reports, but it still should not absorb the rest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1791", + "right": "issue:2578", + "accept": false, + "reason": "Different problems: MPS runtime support vs editable-install dependency setup." + }, + { + "left": "issue:3199", + "right": "issue:3213", + "accept": false, + "reason": "Both mention pipelines, but one is broad custom-pipeline breakage and the other is a specific LPW regression." + }, + { + "left": "issue:4282", + "right": "issue:7102", + "accept": false, + "reason": "Feature request for Multi-ControlNet is not the same as a bug in multi-controlnet/multi-prompt behavior." + }, + { + "left": "issue:7851", + "right": "issue:9479", + "accept": false, + "reason": "Concurrent-call indexing failure is unrelated to inpainting mask behavior." + }, + { + "left": "issue:12689", + "right": "issue:13077", + "accept": false, + "reason": "Checkpoint LoRA loading bug is unrelated to shallow-copying transformer weights in ZImageControlNet." + }, + { + "left": "issue:1070", + "right": "issue:4854", + "accept": false, + "reason": "Both are inpainting-related, but the titles point to different failures and code paths." + }, + { + "left": "issue:6240", + "right": "issue:9704", + "accept": false, + "reason": "AutoPipeline device_map error is unrelated to a cuDNN frontend execution-plan crash." + }, + { + "left": "issue:4686", + "right": "issue:6793", + "accept": false, + "reason": "Pipeline loading failure and Hydra serialization failure are different classes of bugs." + }, + { + "left": "issue:1616", + "right": "issue:2907", + "accept": false, + "reason": "LPW pipeline compatibility and calling enable_model_cpu_offload twice are unrelated." + }, + { + "left": "issue:2447", + "right": "issue:3884", + "accept": false, + "reason": "Generic LoRA error vs a specific training-script error; not the same concrete bug." + }, + { + "left": "issue:5967", + "right": "issue:9889", + "accept": false, + "reason": "Announcement post is not a bug report, and the segfault is a separate inference crash." + }, + { + "left": "issue:1546", + "right": "issue:785", + "accept": false, + "reason": "Truncation/batched-input error is unrelated to PNDM scheduler performance cost." + }, + { + "left": "issue:2858", + "right": "issue:4923", + "accept": false, + "reason": "UnCLIP seeding-image feature request and AudioLDM2 transcript feature request are unrelated." + }, + { + "left": "issue:2312", + "right": "issue:3631", + "accept": false, + "reason": "EMA save-hook failure and latent-handling inpainting exception are different bugs." + }, + { + "left": "issue:10026", + "right": "issue:11127", + "accept": false, + "reason": "Training-memory scaling problem and single-file Flux inference issue are not the same code-path." + }, + { + "left": "issue:10277", + "right": "issue:8407", + "accept": false, + "reason": "Scheduler choice in fluxfill and UniPC set_timesteps kwargs support are different scheduler issues." + }, + { + "left": "issue:3624", + "right": "issue:5509", + "accept": false, + "reason": "AttributeError from getattr is unrelated to prompt/image batch-size validation." + }, + { + "left": "issue:10500", + "right": "issue:6869", + "accept": false, + "reason": "Device-mismatch with BitsAndBytes is unrelated to export_to_video unpacking." + }, + { + "left": "issue:1214", + "right": "issue:2644", + "accept": false, + "reason": "Half-precision CLIPTextModel failure is unrelated to a Dreambooth GPU-count question." + }, + { + "left": "issue:3094", + "right": "issue:5596", + "accept": false, + "reason": "Same project area, but training OOM and dataset-conversion AttributeError are different failures." + }, + { + "left": "issue:1271", + "right": "issue:3181", + "accept": false, + "reason": "Dreambooth dependency installation on GCP and TensorRT example TypeError are unrelated." + }, + { + "left": "issue:2495", + "right": "issue:6661", + "accept": false, + "reason": "MPS black-image inference bug and MPS training OOM are different symptoms and code paths." + }, + { + "left": "issue:4122", + "right": "issue:5546", + "accept": false, + "reason": "Both concern scheduler step counts, but one is a DPMSolverMultistepScheduler SDXL bug and the other is a base+refiner Karras-ensemble issue." + }, + { + "left": "issue:4874", + "right": "issue:5463", + "accept": false, + "reason": "Local loading of StableDiffusionUpscalePipeline and an UnboundLocalError on image_latents are not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 356, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10337", + "issue:10526", + "issue:10590", + "issue:1127", + "issue:11570", + "issue:13015", + "issue:1335", + "issue:13386", + "issue:1552", + "issue:1785", + "issue:1895", + "issue:2161", + "issue:2201", + "issue:2326", + "issue:2402", + "issue:3209", + "issue:3280", + "issue:3683", + "issue:3752", + "issue:3787", + "issue:3958", + "issue:4014", + "issue:4134", + "issue:4438", + "issue:4598", + "issue:4692", + "issue:4697", + "issue:4888", + "issue:499", + "issue:5000", + "issue:5328", + "issue:5353", + "issue:5646", + "issue:6028", + "issue:6110", + "issue:6218", + "issue:6278", + "issue:6639", + "issue:6661", + "issue:6807", + "issue:7450", + "issue:7485", + "issue:7548", + "issue:8609", + "issue:9170", + "issue:9461", + "issue:9530" + ], + "soft_pairs": [ + "issue:10526|issue:9461", + "issue:1895|issue:499", + "issue:3683|issue:6278", + "issue:3787|issue:4598", + "issue:4697|issue:6661", + "issue:13015|issue:13386", + "issue:1127|issue:1335", + "issue:3209|issue:7548", + "issue:3280|issue:3752", + "issue:4014|issue:4438", + "issue:4134|issue:6807", + "issue:6661|issue:6807", + "issue:10337|issue:10590", + "issue:5353|issue:8609", + "issue:5646|issue:7450", + "issue:1785|issue:5000", + "issue:6639|issue:9530", + "issue:3958|issue:5328", + "issue:10337|issue:11570", + "issue:2161|issue:2326", + "issue:4692|issue:9170", + "issue:6218|issue:7485", + "issue:2402|issue:6028", + "issue:4888|issue:6110", + "issue:1552|issue:2201" + ], + "prepared_review_unit_hash": "74005b56fc0169b484cad895bfde7872b042f6c256cb123cf87330a16758f576", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33675, + "estimated_input_tokens": 8419, + "estimated_eval_tokens": 17094 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous rather than a true duplicate set: it mixes unrelated issues across Flux quantization, LoRA loading/training, MPS/NPU/CUDA memory, ONNX import, schedulers, and model-specific bugs. I reject all soft edges because the paired items do not appear to describe the same underlying bug or change.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10526", + "right": "issue:9461", + "accept": false, + "reason": "Both mention Flux, but one is a concrete optimum.quanto quantization TypeError while the other is a vague Flux inference issue; different failures and code paths." + }, + { + "left": "issue:1895", + "right": "issue:499", + "accept": false, + "reason": "Multi-GPU EMA update bug vs a broken example training script; same broad training area, not the same defect." + }, + { + "left": "issue:3683", + "right": "issue:6278", + "accept": false, + "reason": "save_pretrained for Multi-ControlNet is unrelated to a multi-GPU training failure." + }, + { + "left": "issue:3787", + "right": "issue:4598", + "accept": false, + "reason": "Circular/partial import error is different from improving missing-dependency error messages." + }, + { + "left": "issue:4697", + "right": "issue:6661", + "accept": false, + "reason": "LoRA loading regression after update vs MPS OOM during training; different symptoms and subsystems." + }, + { + "left": "issue:13015", + "right": "issue:13386", + "accept": false, + "reason": "Same model family, but one is an NPU device-mismatch inference bug and the other is a prior-preservation tensor concatenation crash in training." + }, + { + "left": "issue:1127", + "right": "issue:1335", + "accept": false, + "reason": "ONNX pipeline import traceback vs constructor missing vae_encoder; related area, but not the same bug." + }, + { + "left": "issue:3209", + "right": "issue:7548", + "accept": false, + "reason": "AutoencoderKL NaNs for large images does not match AnimateDiff flicker." + }, + { + "left": "issue:3280", + "right": "issue:3752", + "accept": false, + "reason": "Non-default scheduler incompatibility in DeepFloyd IF vs a dreambooth finetune inference error; not the same issue." + }, + { + "left": "issue:4014", + "right": "issue:4438", + "accept": false, + "reason": "Watermark artifacts in SDXL are unrelated to a generic StableDiffusionXLPipeline error." + }, + { + "left": "issue:4134", + "right": "issue:6807", + "accept": false, + "reason": "ControlNet tensor-shape mismatch on MPS is unrelated to test collection failing on MPS." + }, + { + "left": "issue:6661", + "right": "issue:6807", + "accept": false, + "reason": "Training OOM on MPS vs test collection failure on MPS; same backend, different problem." + }, + { + "left": "issue:10337", + "right": "issue:10590", + "accept": false, + "reason": "Flux IPAdapter failure under quantized transformers is not the same as Sana bfloat16 tiled VAE decode errors." + }, + { + "left": "issue:5353", + "right": "issue:8609", + "accept": false, + "reason": "How-to/use-case question about FreeU is unrelated to a custom IP-Adapter pipeline loading failure." + }, + { + "left": "issue:5646", + "right": "issue:7450", + "accept": false, + "reason": "Scheduler stability problems vs AutoencoderKL multithreading issues affect different components." + }, + { + "left": "issue:1785", + "right": "issue:5000", + "accept": false, + "reason": "UnCLIP num_images_per_prompt bug and LoRA fuse/unfuse regression are distinct behaviors." + }, + { + "left": "issue:6639", + "right": "issue:9530", + "accept": false, + "reason": "Different-LoRA-output regression in SDXL vs GPU memory release after torch.compile; no shared bug." + }, + { + "left": "issue:3958", + "right": "issue:5328", + "accept": false, + "reason": "Both involve LoRA, but one is cpu_offload interaction and the other is widespread Civitai LoRA failures; not the same concrete fault." + }, + { + "left": "issue:10337", + "right": "issue:11570", + "accept": false, + "reason": "Both are quantization-related, but one is Flux/IPAdapter with quantized transformers and the other is bitsandbytes text_encoder .to() casting during load_lora_weights." + }, + { + "left": "issue:2161", + "right": "issue:2326", + "accept": false, + "reason": "LoRA training on an inpainting model vs converting LoRA to safetensors/ckpt are different workflows and failures." + }, + { + "left": "issue:4692", + "right": "issue:9170", + "accept": false, + "reason": "Generic UNet memory issue is not the same as SDXL+ControlNet requiring >36G GPU memory." + }, + { + "left": "issue:6218", + "right": "issue:7485", + "accept": false, + "reason": "Batched seeds bug in ControlNet/Img2Img is unrelated to a safety_checker NoneType callable error." + }, + { + "left": "issue:2402", + "right": "issue:6028", + "accept": false, + "reason": "Torch not compiled with CUDA vs CUDA out-of-memory are completely different runtime failures." + }, + { + "left": "issue:4888", + "right": "issue:6110", + "accept": false, + "reason": "Offline safetensors loading and offline load_lora_weights are different API paths and problems." + }, + { + "left": "issue:1552", + "right": "issue:2201", + "accept": false, + "reason": "Attention slicing on SD2 and tokenizer padding differences across model families are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 357, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1014", + "issue:10526", + "issue:10533", + "issue:10550", + "issue:10848", + "issue:1249", + "issue:1261", + "issue:1918", + "issue:1944", + "issue:1957", + "issue:2041", + "issue:2091", + "issue:2244", + "issue:2507", + "issue:2560", + "issue:2722", + "issue:3454", + "issue:3694", + "issue:3908", + "issue:4361", + "issue:4427", + "issue:4566", + "issue:4728", + "issue:5064", + "issue:5109", + "issue:5112", + "issue:5254", + "issue:579", + "issue:5805", + "issue:5951", + "issue:6222", + "issue:6297", + "issue:6335", + "issue:6336", + "issue:6517", + "issue:6602", + "issue:7354", + "issue:746", + "issue:7851", + "issue:8469", + "issue:8565", + "issue:9366", + "issue:9523", + "issue:954", + "issue:9731", + "issue:9813", + "issue:9927", + "issue:9941" + ], + "soft_pairs": [ + "issue:2041|issue:3454", + "issue:6517|issue:9941", + "issue:1957|issue:6297", + "issue:5109|issue:8565", + "issue:1944|issue:579", + "issue:746|issue:954", + "issue:9523|issue:9927", + "issue:2507|issue:3908", + "issue:2560|issue:2722", + "issue:1249|issue:1918", + "issue:6222|issue:6335", + "issue:10550|issue:10848", + "issue:2722|issue:5805", + "issue:2244|issue:5805", + "issue:4427|issue:7354", + "issue:10526|issue:10533", + "issue:5112|issue:7851", + "issue:9366|issue:9731", + "issue:8469|issue:9813", + "issue:1014|issue:1261", + "issue:2091|issue:5951", + "issue:4566|issue:4728", + "issue:5254|issue:6336", + "issue:3694|issue:5064", + "issue:4361|issue:6602" + ], + "prepared_review_unit_hash": "78e265fb7e4484c9167a785cb9cfa239279d071ef86133b8ff1da31c61fbd600", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 34824, + "estimated_input_tokens": 8706, + "estimated_eval_tokens": 17668 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: the issues span many unrelated Diffusers bugs across training, schedulers, quantization, ControlNet, IP-Adapter, and pipeline/runtime errors. None of the soft-edge pairs are the same concrete bug/change, so all should be rejected.", + "confidence": 0.91, + "canonical_issue_reason": "No single issue clearly represents a real duplicate cluster; if one must be chosen, issue 10526 is the most concrete and self-contained bug report with a specific exception and repro context.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 10526 is the strongest anchor because it has a precise error signature, clear runtime context (Flux FP8 + optimum.quanto), and is more actionable than the broader or vaguer reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2041", + "right": "issue:3454", + "accept": false, + "reason": "Both are training-script problems, but one is Windows compatibility for Dreambooth and the other is a latest-version regression for LoRA training; different failure modes and fixes." + }, + { + "left": "issue:6517", + "right": "issue:9941", + "accept": false, + "reason": "One is an import-time controlnet module error, the other is a generic stable diffusion colab runtime issue; too broad and unrelated as a concrete bug." + }, + { + "left": "issue:1957", + "right": "issue:6297", + "accept": false, + "reason": "These are both training-related, but one is an LR scheduler initialization fix and the other is an SDXL Dreambooth training complaint; not the same underlying defect." + }, + { + "left": "issue:5109", + "right": "issue:8565", + "accept": false, + "reason": "Both mention LoRA loading, but they affect different pipelines and distinct error paths (ControlNet Img2Img vs StableDiffusion3); not mergeable as one bug fix." + }, + { + "left": "issue:1944", + "right": "issue:579", + "accept": false, + "reason": "Dreambooth random outputs and missing config.json in textual inversion are separate issues with different causes and code paths." + }, + { + "left": "issue:746", + "right": "issue:954", + "accept": false, + "reason": "An ONNX revision loading problem and a login/loading problem are unrelated." + }, + { + "left": "issue:9523", + "right": "issue:9927", + "accept": false, + "reason": "Both involve controlnet training, but one is mapping errors across sd3/sdxl/flux scripts and the other is a HeaderTooLarge failure on sdv3; different concrete failures." + }, + { + "left": "issue:2507", + "right": "issue:3908", + "accept": false, + "reason": "Safetensors loading performance and Streamlit model caching are performance/UX concerns, not the same bug." + }, + { + "left": "issue:2560", + "right": "issue:2722", + "accept": false, + "reason": "One is generator-list nondeterminism in Img2Img; the other is ControlNet model conversion mismatch. Different subsystems and symptoms." + }, + { + "left": "issue:1249", + "right": "issue:1918", + "accept": false, + "reason": "The ONNXPipeline ndarray.device AttributeError is unrelated to the DDIM scheduler issue for a specific example." + }, + { + "left": "issue:6222", + "right": "issue:6335", + "accept": false, + "reason": "Scheduler batch-size dependency and ControlNet output-size handling are distinct behaviors in different pipelines." + }, + { + "left": "issue:10550", + "right": "issue:10848", + "accept": false, + "reason": "LoRA into quantized base model and IP-Adapter meta-loading device argument error are separate loader integration problems." + }, + { + "left": "issue:2722", + "right": "issue:5805", + "accept": false, + "reason": "ControlNet conversion mismatch and XLA dtype mismatch are unrelated bugs." + }, + { + "left": "issue:2244", + "right": "issue:5805", + "accept": false, + "reason": "Dreambooth fp16 CPU norm error and LCM-SDXL XLA float/half mismatch differ in model type, backend, and failure point." + }, + { + "left": "issue:4427", + "right": "issue:7354", + "accept": false, + "reason": "Multiadapter example failure and PNDMScheduler/DDPMPipeline incompatibility are not the same underlying bug." + }, + { + "left": "issue:10526", + "right": "issue:10533", + "accept": false, + "reason": "Both are Flux-related, but one is an optimum.quanto quantization constructor TypeError and the other is a black-image output issue in Flux Fill fp16; different code paths and likely different causes." + }, + { + "left": "issue:5112", + "right": "issue:7851", + "accept": false, + "reason": "The torch.Size float-item error in ControlNet Img2Img and the concurrent pipeline index-out-of-bounds issue are distinct runtime bugs." + }, + { + "left": "issue:9366", + "right": "issue:9731", + "accept": false, + "reason": "A scheduler/strength edge case in AutoPipelineForImage2Image is unrelated to a general how-to question about training LoRA on Playground2.5." + }, + { + "left": "issue:8469", + "right": "issue:9813", + "accept": false, + "reason": "Corrupt IP-Adapter face output and batch feature mixing in prepare_ip_adapter_image_embeds are both IP-Adapter related but describe different defects." + }, + { + "left": "issue:1014", + "right": "issue:1261", + "accept": false, + "reason": "A vague upgrade problem and an xformers backward-pass assert are not the same bug." + }, + { + "left": "issue:2091", + "right": "issue:5951", + "accept": false, + "reason": "Resume-from-checkpoint multi-GPU training and a general Pixart training issue are too broad and not the same failure." + }, + { + "left": "issue:4566", + "right": "issue:4728", + "accept": false, + "reason": "Both mention resume/checkpoint behavior, but one is SDXL LoRA checkpoint resumption and the other is text_to_image.py resuming causing OOM; different concrete problems." + }, + { + "left": "issue:5254", + "right": "issue:6336", + "accept": false, + "reason": "Multi-ControlNet support request and TensorRT VAE compilation failure with AutoencoderTiny are unrelated." + }, + { + "left": "issue:3694", + "right": "issue:5064", + "accept": false, + "reason": "Missing model/config files during training and refiner out-of-space during inference are different operational issues." + }, + { + "left": "issue:4361", + "right": "issue:6602", + "accept": false, + "reason": "Shared-tensor saving with safetensors and post-fuse_lora save/load error are both serialization-related, but they are not the same concrete bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 358, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:10010", + "issue:10052", + "issue:10120", + "issue:10202", + "issue:10204", + "issue:10490", + "issue:10596", + "issue:1061", + "issue:10638", + "issue:10672", + "issue:10673", + "issue:1076", + "issue:10796", + "issue:1088", + "issue:10895", + "issue:10932", + "issue:10963", + "issue:11047", + "issue:11055", + "issue:1117", + "issue:11220", + "issue:11343", + "issue:11362", + "issue:11383", + "issue:11939", + "issue:12195", + "issue:12712", + "issue:1805", + "issue:1831", + "issue:2444", + "issue:338", + "issue:339", + "issue:3622", + "issue:4534", + "issue:6258", + "issue:7312", + "issue:7802", + "issue:8317", + "issue:8557", + "issue:8950", + "issue:9115", + "issue:9223", + "issue:9239", + "issue:9309", + "issue:9374", + "issue:9420", + "issue:9438", + "issue:9637" + ], + "soft_pairs": [ + "issue:1831|issue:4534", + "issue:10010|issue:9420", + "issue:10052|issue:10596", + "issue:10120|issue:8950", + "issue:10202|issue:9309", + "issue:10204|issue:6258", + "issue:10490|issue:7802", + "issue:1061|issue:3622", + "issue:10638|issue:9115", + "issue:10672|issue:7312", + "issue:10672|issue:9374", + "issue:10673|issue:12712", + "issue:1076|issue:1805", + "issue:10796|issue:11383", + "issue:1088|issue:2444", + "issue:10895|issue:11939", + "issue:10932|issue:9223", + "issue:10932|issue:9637", + "issue:10963|issue:11343", + "issue:11047|issue:12195", + "issue:11047|issue:9239", + "issue:11055|issue:8557", + "issue:1117|issue:338", + "issue:1117|issue:339", + "issue:11220|issue:9438", + "issue:11362|issue:8317" + ], + "prepared_review_unit_hash": "c55e5f9924d23ee8717739a772edfd64452701873735c1a7e4b12ddbf8d4db46", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 33804, + "estimated_input_tokens": 8451, + "estimated_eval_tokens": 17158 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are mostly unrelated issue reports and feature requests across different pipelines, docs, and scheduler/model topics. None of the soft pairs look like the same underlying bug or change closely enough to merge/dupe safely.", + "confidence": 0.9, + "canonical_issue_reason": "issue:10932 is the strongest standalone issue candidate: it is highly detailed, self-contained, and describes a concrete runtime failure with compilation/recompile behavior.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10932 is the most actionable and specific report among the set, with enough detail to anchor triage.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1831", + "right": "issue:4534", + "accept": false, + "reason": "Both involve training/validation problems, but one is Dreambooth class-image precision mismatch and the other is SDXL MPS validation crash; different code paths and failures." + }, + { + "left": "issue:10010", + "right": "issue:9420", + "accept": false, + "reason": "One is a missing model_index.json download for FLUX Fill, the other is a saved transformer/LORA loading issue; not the same bug." + }, + { + "left": "issue:10052", + "right": "issue:10596", + "accept": false, + "reason": "A syntax error on ctx is unrelated to an invalid-shape runtime error in FluxControlPipeline." + }, + { + "left": "issue:10120", + "right": "issue:8950", + "accept": false, + "reason": "Dreambooth+SD3 memory consumption is a resource issue, while SD3 LoRA training is a functional training bug; not the same failure." + }, + { + "left": "issue:10202", + "right": "issue:9309", + "accept": false, + "reason": "Flux Control LoRA unloading and FluxControlNetPipeline on Flux 1 schnell are different pipeline behaviors and likely different defects." + }, + { + "left": "issue:10204", + "right": "issue:6258", + "accept": false, + "reason": "Repeated FluxFill inpainting degradation is a different issue from Stable Video Diffusion forward chunking quality loss." + }, + { + "left": "issue:10490", + "right": "issue:7802", + "accept": false, + "reason": "Support Infinity is a feature request with no clear overlap to OLSS scheduler support." + }, + { + "left": "issue:1061", + "right": "issue:3622", + "accept": false, + "reason": "Both are example/tutorial wording issues, but they target different docs and different import/instruction problems." + }, + { + "left": "issue:10638", + "right": "issue:9115", + "accept": false, + "reason": "SDXL schedule runner problems and AnimateDiff-Lightning/SDXL motion adapter errors are unrelated runtime paths." + }, + { + "left": "issue:10672", + "right": "issue:7312", + "accept": false, + "reason": "callback_on_step_end support is an API feature request, while AlignProp support is a different training feature request." + }, + { + "left": "issue:10672", + "right": "issue:9374", + "accept": false, + "reason": "Both ask for broader pipeline support, but one is callback_on_step_end and the other is AutoPipeline support for Flux pipelines; different changes." + }, + { + "left": "issue:10673", + "right": "issue:12712", + "accept": false, + "reason": "AuraFlow shape invalid error and missing FLUX.2-dev-bnb-4bit are unrelated model/runtime issues." + }, + { + "left": "issue:1076", + "right": "issue:1805", + "accept": false, + "reason": "Stable-diffusion-v1-5 question and scalable diffusion pipeline feature request are not the same underlying item." + }, + { + "left": "issue:10796", + "right": "issue:11383", + "accept": false, + "reason": "Docs for HunyuanVideo LoRA and HiDream LoRA support are separate model-specific documentation/support requests." + }, + { + "left": "issue:1088", + "right": "issue:2444", + "accept": false, + "reason": "A Dreambooth flax training complaint and a Dreambooth inpaint subprocess failure are different scripts and failure modes." + }, + { + "left": "issue:10895", + "right": "issue:11939", + "accept": false, + "reason": "General deprecation handling and flux_controlnet training updates are different maintenance tasks, not the same bug." + }, + { + "left": "issue:10932", + "right": "issue:9223", + "accept": false, + "reason": "Torch compile/recompile_limit in HunyuanVideo is unrelated to package dependency conflicts around pyarrow." + }, + { + "left": "issue:10932", + "right": "issue:9637", + "accept": false, + "reason": "A compile/recompile-limit issue is not the same as an XFormers attention-mask/bfloat8-length bug." + }, + { + "left": "issue:10963", + "right": "issue:11343", + "accept": false, + "reason": "Missing AutoencoderKLWan import is a symbol/export issue; transformer update import failures are broader dependency compatibility problems." + }, + { + "left": "issue:11047", + "right": "issue:12195", + "accept": false, + "reason": "No controlnet pag inpaint model and a torch.library.custom_op failure are entirely different problems." + }, + { + "left": "issue:11047", + "right": "issue:9239", + "accept": false, + "reason": "Missing pag inpaint model support is a pipeline availability issue, while black images with ControlNet-Canny is an output-quality bug." + }, + { + "left": "issue:11055", + "right": "issue:8557", + "accept": false, + "reason": "Colorized unconditional training outputs and SD3 token limit are not the same defect." + }, + { + "left": "issue:1117", + "right": "issue:338", + "accept": false, + "reason": "Both are tests-related, but they cover different schedulers/negative-prompt behavior and are not duplicates." + }, + { + "left": "issue:1117", + "right": "issue:339", + "accept": false, + "reason": "Multiple negative prompts tests and Karras VE tests are separate test additions." + }, + { + "left": "issue:11220", + "right": "issue:9438", + "accept": false, + "reason": "An unconditional image generation docs page behaving unexpectedly is not the same as a quicktour model_name 404 link issue." + }, + { + "left": "issue:11362", + "right": "issue:8317", + "accept": false, + "reason": "Unexpected return_dict keyword on HiDreamImageTransformer2DModel is a different API mismatch than missing generator in AsymmetricAutoencoderKL.decode()." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 359, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:11418", + "issue:11547", + "issue:11830", + "issue:11839", + "issue:1197", + "issue:1205", + "issue:1214", + "issue:12308", + "issue:1249", + "issue:1255", + "issue:1290", + "issue:13001", + "issue:1304", + "issue:1310", + "issue:13484", + "issue:1358", + "issue:1363", + "issue:1375", + "issue:1482", + "issue:1486", + "issue:1535", + "issue:1536", + "issue:1546", + "issue:1566", + "issue:1594", + "issue:1604", + "issue:1647", + "issue:1704", + "issue:1810", + "issue:1869", + "issue:2532", + "issue:305", + "issue:3213", + "issue:3279", + "issue:3300", + "issue:3444", + "issue:3724", + "issue:3817", + "issue:4071", + "issue:4646", + "issue:4702", + "issue:4969", + "issue:543", + "issue:782", + "issue:9188", + "issue:9224", + "issue:967", + "issue:9958" + ], + "soft_pairs": [ + "issue:11418|issue:13484", + "issue:11547|issue:9188", + "issue:11830|issue:9224", + "issue:11839|issue:13001", + "issue:1197|issue:1290", + "issue:1197|issue:3724", + "issue:1205|issue:4646", + "issue:1214|issue:967", + "issue:12308|issue:9958", + "issue:1249|issue:1810", + "issue:1255|issue:3300", + "issue:1304|issue:4702", + "issue:1310|issue:1869", + "issue:1358|issue:4071", + "issue:1363|issue:3213", + "issue:1375|issue:305", + "issue:1482|issue:4969", + "issue:1486|issue:2532", + "issue:1535|issue:1536", + "issue:1546|issue:543", + "issue:1566|issue:3279", + "issue:1594|issue:3444", + "issue:1594|issue:3817", + "issue:1604|issue:782", + "issue:1647|issue:1704" + ], + "prepared_review_unit_hash": "a82497a3cc3eb0b82e1644afb244074ec31a85c4aba0106645cc93d026699b15", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33104, + "estimated_input_tokens": 8276, + "estimated_eval_tokens": 16808 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly false-positive similarity pairs: the items overlap on broad themes like Flux, ONNX, pipelines, and precision issues, but they describe different models, feature requests, or failure modes. I don\u2019t see a true duplicate hub or any PR-like change set here.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11418", + "right": "issue:13484", + "accept": false, + "reason": "Both are Flux-related, but one asks how to add a specific safetensors file while the other is about LoRA loading failure for FAL Flux 2 dev loras; different assets and failure paths." + }, + { + "left": "issue:11547", + "right": "issue:9188", + "accept": false, + "reason": "Both mention Flux fill/outpainting, but these are separate feature requests: ControlNet support vs outpainting support." + }, + { + "left": "issue:11830", + "right": "issue:9224", + "accept": false, + "reason": "Different bug classes: framepack outputs pure black with float16, while the other is an MPS/float64 incompatibility." + }, + { + "left": "issue:11839", + "right": "issue:13001", + "accept": false, + "reason": "Both involve GGUF loading, but they target different Flux pipelines/model variants and report different shape/input-size errors." + }, + { + "left": "issue:1197", + "right": "issue:1290", + "accept": false, + "reason": "These are unrelated community pipeline proposals; same general area, but not the same pipeline or change." + }, + { + "left": "issue:1197", + "right": "issue:3724", + "accept": false, + "reason": "OpenAI diffusion pipeline request vs watermarking module request; no shared bug or code path." + }, + { + "left": "issue:1205", + "right": "issue:4646", + "accept": false, + "reason": "Both concern ONNX conversion, but one is SD-to-ONNX while the other is ControlNet-to-ONNX; different models and failures." + }, + { + "left": "issue:1214", + "right": "issue:967", + "accept": false, + "reason": "Half-precision CLIPTextModel failure is unrelated to the OnnxStableDiffusionPipeline scheduler operand issue." + }, + { + "left": "issue:12308", + "right": "issue:9958", + "accept": false, + "reason": "Flash-attn kernel support on non-Hopper GPUs is unrelated to AutoencoderKLTemporalDecoder tiling support." + }, + { + "left": "issue:1249", + "right": "issue:1810", + "accept": false, + "reason": "OnnxPipeline device attribute error is not the same as NumPy deprecated types; different root causes." + }, + { + "left": "issue:1255", + "right": "issue:3300", + "accept": false, + "reason": "Missing DPMSolverMultistepScheduler import is different from a broader HF download/broken release issue." + }, + { + "left": "issue:1304", + "right": "issue:4702", + "accept": false, + "reason": "Training text-guided image-to-image SD and a VQ-VAE training example are distinct feature requests." + }, + { + "left": "issue:1310", + "right": "issue:1869", + "accept": false, + "reason": "Both are community pipeline ideas, but K-Diffusion+SD and UnCLIP interpolation are separate pipeline proposals." + }, + { + "left": "issue:1358", + "right": "issue:4071", + "accept": false, + "reason": "Safetensors support and inpaint-only+lama support are unrelated features." + }, + { + "left": "issue:1363", + "right": "issue:3213", + "accept": false, + "reason": "Both mention lpw/ONNX, but one is an LMS scheduler error and the other is a broader lpw_stable_diffusion compatibility break; not the same bug." + }, + { + "left": "issue:1375", + "right": "issue:305", + "accept": false, + "reason": "Both are import errors, but one is tied to PR #1365 breaking imports and the other is a general diffusers import problem from a different context." + }, + { + "left": "issue:1482", + "right": "issue:4969", + "accept": false, + "reason": "Stable Diffusion upscaling pipeline request is unrelated to CrossAttention import failure." + }, + { + "left": "issue:1486", + "right": "issue:2532", + "accept": false, + "reason": "DDIMScheduler prediction_type='sample' bug and panorama get_views bug affect different code paths." + }, + { + "left": "issue:1535", + "right": "issue:1536", + "accept": false, + "reason": "Image variation pipeline request vs lpw_stable_diffusion compatibility break; different topics." + }, + { + "left": "issue:1546", + "right": "issue:543", + "accept": false, + "reason": "Truncation warning causing batched-input errors is unrelated to a DDP grad-strides warning." + }, + { + "left": "issue:1566", + "right": "issue:3279", + "accept": false, + "reason": "Dreambooth checkpoint save crash with fp16 output and LoRA resume-from-checkpoint errors are different training issues." + }, + { + "left": "issue:1594", + "right": "issue:3444", + "accept": false, + "reason": "Img2Img for video generation and audio-to-image via ImageBind/UnCLIP are separate feature requests." + }, + { + "left": "issue:1594", + "right": "issue:3817", + "accept": false, + "reason": "Video generation from img2img is not the same as editable dance generation from music." + }, + { + "left": "issue:1604", + "right": "issue:782", + "accept": false, + "reason": "lpw_stable_diffusion broken on diffusers 0.9.0 is unrelated to model download breakage after use_auth_token removal." + }, + { + "left": "issue:1647", + "right": "issue:1704", + "accept": false, + "reason": "A question about color correction .pt is not the same as a generic attention block question." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 360, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:1692", + "issue:1704", + "issue:1851", + "issue:1876", + "issue:1909", + "issue:1962", + "issue:1969", + "issue:199", + "issue:2068", + "issue:2163", + "issue:2192", + "issue:2225", + "issue:2319", + "issue:2359", + "issue:2371", + "issue:2375", + "issue:2390", + "issue:2416", + "issue:2462", + "issue:2507", + "issue:2616", + "issue:2618", + "issue:2663", + "issue:272", + "issue:2755", + "issue:2763", + "issue:2775", + "issue:2785", + "issue:2800", + "issue:2871", + "issue:2908", + "issue:3087", + "issue:3162", + "issue:3674", + "issue:3694", + "issue:4071", + "issue:4400", + "issue:459", + "issue:463", + "issue:5112", + "issue:5462", + "issue:5824", + "issue:5989", + "issue:6732", + "issue:834", + "issue:861", + "issue:938" + ], + "soft_pairs": [ + "issue:1692|issue:2616", + "issue:1704|issue:199", + "issue:1851|issue:2371", + "issue:1876|issue:861", + "issue:1909|issue:3162", + "issue:1962|issue:2800", + "issue:1969|issue:2775", + "issue:2068|issue:834", + "issue:2163|issue:2908", + "issue:2192|issue:3674", + "issue:2225|issue:463", + "issue:2319|issue:5824", + "issue:2359|issue:5462", + "issue:2375|issue:3694", + "issue:2390|issue:3087", + "issue:2416|issue:2618", + "issue:2462|issue:459", + "issue:2507|issue:2663", + "issue:272|issue:4400", + "issue:2755|issue:5989", + "issue:2763|issue:5112", + "issue:2785|issue:4071", + "issue:2800|issue:938", + "issue:2871|issue:6732" + ], + "prepared_review_unit_hash": "ee739f4ebc9da5ca35c0b3d6a5bfce37cacc10ae0374ffee7157b87f016981f7", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32877, + "estimated_input_tokens": 8220, + "estimated_eval_tokens": 16696 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the paired items are mostly unrelated feature requests or bug reports that share only broad Stable Diffusion context. None of the proposed soft edges look like true duplicates.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue fits this cluster because the items span many unrelated topics (checkpoint conversion, training scripts, pipelines, safety checker, ControlNet, etc.).", + "canonical_pr_reason": null, + "best_issue_reason": "If forced to choose a representative issue, #3087 has the strongest signal (very high discussion and inbound references), but it is a feature request and not a good duplicate target for the rest of the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1692", + "right": "issue:2616", + "accept": false, + "reason": "Different problems: pickling a local lambda vs. a NoneType `.replace` error in LoRA saving." + }, + { + "left": "issue:1704", + "right": "issue:199", + "accept": false, + "reason": "Unrelated: an attention-block question vs. a request to delete dead code." + }, + { + "left": "issue:1851", + "right": "issue:2371", + "accept": false, + "reason": "Different areas: multi-GPU dreambooth slowdown vs. missing Dreambooth outputs." + }, + { + "left": "issue:1876", + "right": "issue:861", + "accept": false, + "reason": "Both involve checkpoint conversion, but the failure modes are different: missing state_dict vs. conversion failure in a specific script." + }, + { + "left": "issue:1909", + "right": "issue:3162", + "accept": false, + "reason": "Generator API mismatch vs. missing classifier-free-sampling embeddings; not the same bug." + }, + { + "left": "issue:1962", + "right": "issue:2800", + "accept": false, + "reason": "Video generation request vs. DiffEdit semantic image editing; separate feature areas." + }, + { + "left": "issue:1969", + "right": "issue:2775", + "accept": false, + "reason": "Different runtime errors in different code paths; not the same underlying defect." + }, + { + "left": "issue:2068", + "right": "issue:834", + "accept": false, + "reason": "Different concerns: dtype conversion behavior vs. CPU underutilization performance." + }, + { + "left": "issue:2163", + "right": "issue:2908", + "accept": false, + "reason": "Training dtype mismatch in text-to-image vs. array shape/mixed-precision errors in ControlNet training." + }, + { + "left": "issue:2192", + "right": "issue:3674", + "accept": false, + "reason": "Missing CLI arguments vs. metadata.jsonl parsing problem; separate training-script issues." + }, + { + "left": "issue:2225", + "right": "issue:463", + "accept": false, + "reason": "Safety checker usage vs. super-resolution diffusion model; unrelated topics." + }, + { + "left": "issue:2319", + "right": "issue:5824", + "accept": false, + "reason": "Typo in a checkpoint-loading helper vs. SDXL add_time_ids default issue; not the same bug." + }, + { + "left": "issue:2359", + "right": "issue:5462", + "accept": false, + "reason": "Both touch latent output/image2image, but one is about allowing latent output_type and the other is an LCM img2img feature request." + }, + { + "left": "issue:2375", + "right": "issue:3694", + "accept": false, + "reason": "Missing safe_open import vs. missing model_index/config files; completely different failure causes." + }, + { + "left": "issue:2390", + "right": "issue:3087", + "accept": false, + "reason": "T2I-Adapter pipeline support vs. LyCORIS model support; both are feature requests, but not the same change." + }, + { + "left": "issue:2416", + "right": "issue:2618", + "accept": false, + "reason": "Training slowdown with xformers vs. ControlNet image-input type support; unrelated symptoms and code paths." + }, + { + "left": "issue:2462", + "right": "issue:459", + "accept": false, + "reason": "IterableDataset support for finetuning vs. incremental diffusion concept; not a duplicate bug/change." + }, + { + "left": "issue:2507", + "right": "issue:2663", + "accept": false, + "reason": "Different loading/performance issues: safetensors GPU load speed vs. model load failure with safety checker safetensors present." + }, + { + "left": "issue:272", + "right": "issue:4400", + "accept": false, + "reason": "Inpainting sampler support vs. text_encoder support question in a dreambooth LoRA script." + }, + { + "left": "issue:2755", + "right": "issue:5989", + "accept": false, + "reason": "Float16 ckpt loading in conversion vs. a safetensors.torch bug; not the same underlying issue." + }, + { + "left": "issue:2763", + "right": "issue:5112", + "accept": false, + "reason": "ControlNet VRAM regression with cudnn benchmark vs. a torch.Size float item error in SDXL ControlNet Img2Img." + }, + { + "left": "issue:2785", + "right": "issue:4071", + "accept": false, + "reason": "M1/M2 text-to-video support vs. inpaint-only+lama support; separate feature requests." + }, + { + "left": "issue:2800", + "right": "issue:938", + "accept": false, + "reason": "DiffEdit semantic editing vs. human motion diffusion; unrelated model/application domains." + }, + { + "left": "issue:2871", + "right": "issue:6732", + "accept": false, + "reason": "Inpainting pipeline latent output handling vs. documentation for `trained_betas`; not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 361, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:2883", + "issue:2907", + "issue:3029", + "issue:3085", + "issue:3116", + "issue:3139", + "issue:3142", + "issue:3182", + "issue:3223", + "issue:3251", + "issue:3283", + "issue:3366", + "issue:3403", + "issue:3406", + "issue:3411", + "issue:3444", + "issue:3461", + "issue:3481", + "issue:3551", + "issue:3566", + "issue:3574", + "issue:3580", + "issue:3624", + "issue:3658", + "issue:3677", + "issue:3688", + "issue:3693", + "issue:3750", + "issue:3774", + "issue:3817", + "issue:4103", + "issue:4450", + "issue:4476", + "issue:4949", + "issue:5002", + "issue:5075", + "issue:5128", + "issue:5403", + "issue:5408", + "issue:5476", + "issue:557", + "issue:5592", + "issue:6218", + "issue:6560", + "issue:6732", + "issue:7061", + "issue:7183" + ], + "soft_pairs": [ + "issue:2883|issue:4949", + "issue:2907|issue:5592", + "issue:3029|issue:4476", + "issue:3085|issue:5002", + "issue:3116|issue:3481", + "issue:3139|issue:3283", + "issue:3142|issue:3223", + "issue:3182|issue:6218", + "issue:3251|issue:6732", + "issue:3366|issue:3574", + "issue:3403|issue:5128", + "issue:3406|issue:4103", + "issue:3411|issue:4450", + "issue:3444|issue:3817", + "issue:3461|issue:6560", + "issue:3551|issue:3774", + "issue:3566|issue:557", + "issue:3580|issue:5075", + "issue:3624|issue:7183", + "issue:3658|issue:5403", + "issue:3677|issue:3688", + "issue:3677|issue:5476", + "issue:3693|issue:7061", + "issue:3750|issue:5408" + ], + "prepared_review_unit_hash": "0af60bf724a932637e4d32117c3118a612e4e12a6a2e2bce6b4cd60e6fbf5b1a", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 32985, + "estimated_input_tokens": 8247, + "estimated_eval_tokens": 16750 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated issue reports from the same repository, and the proposed soft pairs are all false positives. The only weak thematic overlap is around pipeline/offload/load behavior, but none of the candidate pairs describe the same concrete bug closely enough to merge.", + "confidence": 0.88, + "canonical_issue_reason": "issue:2907 is the clearest, most concrete runtime bug report in the set, with substantial discussion and a specific failure mode around pipeline CPU offload.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2907 is the best representative issue: actionable, well-scoped, and the most plausible anchor for the small offload-related subset of reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2883", + "right": "issue:4949", + "accept": false, + "reason": "Both mention video, but one is a generic image-to-video pipeline request and the other is a ProPainter in/outpainting issue; different features and problems." + }, + { + "left": "issue:2907", + "right": "issue:5592", + "accept": false, + "reason": "Offload failure versus checkpoint-loading failure; these are different code paths and different bugs." + }, + { + "left": "issue:3029", + "right": "issue:4476", + "accept": false, + "reason": "ControlNet custom resolution question versus SDXL+ControlNet fill50k result mismatch; same broad area, not the same bug." + }, + { + "left": "issue:3085", + "right": "issue:5002", + "accept": false, + "reason": "Cache-folder argument removal and missing scheduler argument are unrelated API regressions." + }, + { + "left": "issue:3116", + "right": "issue:3481", + "accept": false, + "reason": "Different scheduler/image2image noise behavior versus DDIM step-consistency complaint; not the same failure." + }, + { + "left": "issue:3139", + "right": "issue:3283", + "accept": false, + "reason": "Both are how-to questions about safetensors, but one is image generation usage and the other is LoRA conversion." + }, + { + "left": "issue:3142", + "right": "issue:3223", + "accept": false, + "reason": "Safety checker placement and RAM not being cleared are unrelated pipeline concerns." + }, + { + "left": "issue:3182", + "right": "issue:6218", + "accept": false, + "reason": "Custom pipeline offload incompatibility versus batched seed behavior in ControlNet/img2img; different bugs." + }, + { + "left": "issue:3251", + "right": "issue:6732", + "accept": false, + "reason": "ControlNet Shuffle behavior and scheduler documentation are different issues, not duplicates." + }, + { + "left": "issue:3366", + "right": "issue:3574", + "accept": false, + "reason": "Autocast/LoRA precision issue versus Windows checkpoint-conversion problem; no concrete overlap." + }, + { + "left": "issue:3403", + "right": "issue:5128", + "accept": false, + "reason": "TorchDynamo pipeline loading and single-file safetensors loading are distinct loading failures." + }, + { + "left": "issue:3406", + "right": "issue:4103", + "accept": false, + "reason": "Attention implementation bug and AutoencoderKL scaling_factor misuse are unrelated components." + }, + { + "left": "issue:3411", + "right": "issue:4450", + "accept": false, + "reason": "Training-script test issue versus multi-text inversion example failure; both are training-related but not the same bug." + }, + { + "left": "issue:3444", + "right": "issue:3817", + "accept": false, + "reason": "ImageBind/audio-to-image integration request and editable dance generation are separate project ideas." + }, + { + "left": "issue:3461", + "right": "issue:6560", + "accept": false, + "reason": "DreamBooth performance comparison versus LoRA shape-size regression; different symptoms and code paths." + }, + { + "left": "issue:3551", + "right": "issue:3774", + "accept": false, + "reason": "LoRA disabling xFormers and ZeRO3 not saving GPU memory are unrelated performance/configuration problems." + }, + { + "left": "issue:3566", + "right": "issue:557", + "accept": false, + "reason": "ControlNet reference community pipeline unexpected results versus DDIM quality comparison; not the same issue." + }, + { + "left": "issue:3580", + "right": "issue:5075", + "accept": false, + "reason": "XFormers TypeError and SDXL refiner prompt-embedding shape mismatch are different model/runtime errors." + }, + { + "left": "issue:3624", + "right": "issue:7183", + "accept": false, + "reason": "Generic getattr type error and scheduler class-name display bug are not the same underlying defect." + }, + { + "left": "issue:3658", + "right": "issue:5403", + "accept": false, + "reason": "DreamBooth upsampler noise addition and T2I adapter training script bug are different training issues." + }, + { + "left": "issue:3677", + "right": "issue:3688", + "accept": false, + "reason": "General Kandinsky support request versus a specific LoRA attention/SDPA fix; not duplicate enough." + }, + { + "left": "issue:3677", + "right": "issue:5476", + "accept": false, + "reason": "Kandinsky feature request and DreamBooth xFormers compatibility question are unrelated." + }, + { + "left": "issue:3693", + "right": "issue:7061", + "accept": false, + "reason": "Kandinsky docstring issues, but they target different pipeline docs and different specific problems." + }, + { + "left": "issue:3750", + "right": "issue:5408", + "accept": false, + "reason": "KDiffusionPipeline LoRA support gap versus bad inference results for kohya-style LoRA; different bug surfaces." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 362, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:3788", + "issue:3809", + "issue:3816", + "issue:3946", + "issue:3967", + "issue:3986", + "issue:4001", + "issue:4043", + "issue:4069", + "issue:4071", + "issue:4171", + "issue:4194", + "issue:4222", + "issue:4241", + "issue:4349", + "issue:4353", + "issue:4354", + "issue:4363", + "issue:4436", + "issue:4445", + "issue:4453", + "issue:4456", + "issue:4468", + "issue:4504", + "issue:4593", + "issue:4634", + "issue:4638", + "issue:4641", + "issue:4667", + "issue:5079", + "issue:5215", + "issue:5281", + "issue:5320", + "issue:5328", + "issue:5410", + "issue:5956", + "issue:6529", + "issue:6685", + "issue:7392", + "issue:7418", + "issue:7454", + "issue:7509", + "issue:8320", + "issue:8440", + "issue:8537", + "issue:8637", + "issue:8831" + ], + "soft_pairs": [ + "issue:3788|issue:7509", + "issue:3809|issue:7418", + "issue:3816|issue:4456", + "issue:3946|issue:8637", + "issue:3967|issue:8320", + "issue:3986|issue:5079", + "issue:4001|issue:5320", + "issue:4043|issue:5281", + "issue:4069|issue:4354", + "issue:4071|issue:6529", + "issue:4171|issue:4436", + "issue:4194|issue:8440", + "issue:4222|issue:7392", + "issue:4241|issue:7392", + "issue:4349|issue:5215", + "issue:4353|issue:5410", + "issue:4354|issue:6685", + "issue:4363|issue:4453", + "issue:4445|issue:7454", + "issue:4468|issue:5956", + "issue:4504|issue:5328", + "issue:4593|issue:8831", + "issue:4634|issue:4638", + "issue:4641|issue:5328", + "issue:4667|issue:8537" + ], + "prepared_review_unit_hash": "af77ffec2ade9b2cfe571cc3f8343e072c2841807657a48a7ca944a27f6c88ab", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 33202, + "estimated_input_tokens": 8301, + "estimated_eval_tokens": 16858 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the items span unrelated feature requests and bugs across pipelines, LoRA, SDXL, docs, and training. I do not see a single canonical issue for the group, and none of the soft pairs look like true duplicates or mergeable PR-equivalents.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3788", + "right": "issue:7509", + "accept": false, + "reason": "Different pipeline feature requests (UniControl vs ReNoise); same broad area only, not the same change." + }, + { + "left": "issue:3809", + "right": "issue:7418", + "accept": false, + "reason": "Different bugs and code paths: DDP stride warning vs a specific example-file bug." + }, + { + "left": "issue:3816", + "right": "issue:4456", + "accept": false, + "reason": "Unrelated errors: transformers import/attribute problem vs LoRA loader ModuleList indexing failure." + }, + { + "left": "issue:3946", + "right": "issue:8637", + "accept": false, + "reason": "Different topics: naming complaint for from_ckpt vs import failure for a specific pipeline class." + }, + { + "left": "issue:3967", + "right": "issue:8320", + "accept": false, + "reason": "Both concern loading, but one is a broken branch link/SDXL availability issue and the other is a from_single_file API error." + }, + { + "left": "issue:3986", + "right": "issue:5079", + "accept": false, + "reason": "ShapE mesh output request is unrelated to LoRA weight loading support." + }, + { + "left": "issue:4001", + "right": "issue:5320", + "accept": false, + "reason": "Documentation change vs PEFT API enhancement; not the same bug or change." + }, + { + "left": "issue:4043", + "right": "issue:5281", + "accept": false, + "reason": "Both involve SDXL, but one is missing pooled embeds validation and the other is multi-pipeline device placement." + }, + { + "left": "issue:4069", + "right": "issue:4354", + "accept": false, + "reason": "Textual inversion unload behavior is unrelated to from_single_file returning the wrong pipeline class." + }, + { + "left": "issue:4071", + "right": "issue:6529", + "accept": false, + "reason": "Different inpaint feature requests with no shared code-path evidence." + }, + { + "left": "issue:4171", + "right": "issue:4436", + "accept": false, + "reason": "Docs/homepage rendering bug vs model conversion workflow; unrelated." + }, + { + "left": "issue:4194", + "right": "issue:8440", + "accept": false, + "reason": "Both mention model loading, but the concrete failures differ: VAE loading in from_single_file vs a FromOriginalModelMixin subclassing ValueError." + }, + { + "left": "issue:4222", + "right": "issue:7392", + "accept": false, + "reason": "Training on low-resolution data vs training SDXL with varying aspect ratios; different guidance/problems." + }, + { + "left": "issue:4241", + "right": "issue:7392", + "accept": false, + "reason": "LoRA fine-tuning support request is unrelated to aspect-ratio training questions." + }, + { + "left": "issue:4349", + "right": "issue:5215", + "accept": false, + "reason": "Same pipeline family, but different bugs: missing text_encoder requirement vs brightness shift on dark inputs." + }, + { + "left": "issue:4353", + "right": "issue:5410", + "accept": false, + "reason": "Both are quality complaints, but they describe different SDXL behaviors and likely different causes." + }, + { + "left": "issue:4354", + "right": "issue:6685", + "accept": false, + "reason": "Wrong pipeline type from from_single_file vs Dreambooth output_dir path handling; unrelated." + }, + { + "left": "issue:4363", + "right": "issue:4453", + "accept": false, + "reason": "Loading an SDXL base checkpoint is unrelated to converting LoRA weights for A1111." + }, + { + "left": "issue:4445", + "right": "issue:7454", + "accept": false, + "reason": "General LoRA finetuning question vs generic LoRA support request; not the same underlying issue." + }, + { + "left": "issue:4468", + "right": "issue:5956", + "accept": false, + "reason": "Performance differences in sample code on multi-GPU vs degraded SD-XL U-Net fine-tuning results; different contexts and symptoms." + }, + { + "left": "issue:4504", + "right": "issue:5328", + "accept": false, + "reason": "Both involve LoRA loading failures, but one is a specific state_dict exception and the other is a broad regression report without matching concrete failure details." + }, + { + "left": "issue:4593", + "right": "issue:8831", + "accept": false, + "reason": "LoRA rank/unsupported layer limitations are related broadly, but the concrete error and scope do not match closely enough." + }, + { + "left": "issue:4634", + "right": "issue:4638", + "accept": false, + "reason": "Custom Diffusion safe-serialization issue vs SDXL textual inversion loading issue; different features." + }, + { + "left": "issue:4641", + "right": "issue:5328", + "accept": false, + "reason": "Both are LoRA-loading complaints, but one is about native diffusers LoRA files on local disk and the other is a broad Civitai regression; insufficient evidence of the same bug." + }, + { + "left": "issue:4667", + "right": "issue:8537", + "accept": false, + "reason": "Both use from_single_file, but they target different models and different failure modes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 363, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:4672", + "issue:4675", + "issue:4681", + "issue:4708", + "issue:4724", + "issue:4764", + "issue:4877", + "issue:5022", + "issue:5061", + "issue:5081", + "issue:5084", + "issue:5128", + "issue:5138", + "issue:525", + "issue:5374", + "issue:5429", + "issue:5760", + "issue:5777", + "issue:5783", + "issue:5791", + "issue:5805", + "issue:5905", + "issue:5925", + "issue:5947", + "issue:5972", + "issue:5977", + "issue:5980", + "issue:6079", + "issue:6091", + "issue:6092", + "issue:6093", + "issue:6203", + "issue:6240", + "issue:6388", + "issue:6412", + "issue:6496", + "issue:6753", + "issue:6791", + "issue:7177", + "issue:7405", + "issue:770", + "issue:7871", + "issue:8742", + "issue:8771", + "issue:8803", + "issue:9101", + "issue:9511", + "issue:9674" + ], + "soft_pairs": [ + "issue:4672|issue:9101", + "issue:4675|issue:6412", + "issue:4681|issue:4877", + "issue:4708|issue:5061", + "issue:4724|issue:5081", + "issue:4764|issue:6791", + "issue:5022|issue:8771", + "issue:5084|issue:8742", + "issue:5128|issue:5777", + "issue:5138|issue:6388", + "issue:525|issue:770", + "issue:5374|issue:7177", + "issue:5429|issue:6496", + "issue:5760|issue:7405", + "issue:5783|issue:8803", + "issue:5791|issue:5972", + "issue:5805|issue:6079", + "issue:5905|issue:5947", + "issue:5925|issue:9511", + "issue:5977|issue:6093", + "issue:5980|issue:6093", + "issue:6091|issue:6753", + "issue:6092|issue:9674", + "issue:6203|issue:6388", + "issue:6240|issue:7871" + ], + "prepared_review_unit_hash": "ebd4fa26dcd19ae87242a4768f2151a07a8c6027059fd8a50aa107214c97b82f", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 33463, + "estimated_input_tokens": 8366, + "estimated_eval_tokens": 16988 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated SDXL/ControlNet/LoRA training bugs, import/runtime errors, and feature requests. None of the soft pairs appear to be the same underlying issue or change, so I would not merge any of them as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a safe canonical because the items span different code paths and even different feature requests/models.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4672", + "right": "issue:9101", + "accept": false, + "reason": "Different training targets and model families: SDXL LoRA VRAM tuning vs SD3 InstructPix2Pix training." + }, + { + "left": "issue:4675", + "right": "issue:6412", + "accept": false, + "reason": "One is a ControlNet reference-only SDXL feature request; the other is annotators to ONNX. Different changes." + }, + { + "left": "issue:4681", + "right": "issue:4877", + "accept": false, + "reason": "Transformer2DModel positional embedding bug vs LoRA noise_init_strength API request; unrelated." + }, + { + "left": "issue:4708", + "right": "issue:5061", + "accept": false, + "reason": "Both are import/argument errors, but in different commands and code paths; not the same bug." + }, + { + "left": "issue:4724", + "right": "issue:5081", + "accept": false, + "reason": "SDXL img2img checkpoint behavior vs LPW XL shape-mismatch error; different pipelines and failures." + }, + { + "left": "issue:4764", + "right": "issue:6791", + "accept": false, + "reason": "LoRA weight loading from OFT vs SDXL training script failing to run; unrelated problems." + }, + { + "left": "issue:5022", + "right": "issue:8771", + "accept": false, + "reason": "Different dependency/import breakages in different symbols and releases; not one concrete fix." + }, + { + "left": "issue:5084", + "right": "issue:8742", + "accept": false, + "reason": "Flax SDXL import error vs LoRAAttnProcessor removal regression; different frameworks and fixes." + }, + { + "left": "issue:5128", + "right": "issue:5777", + "accept": false, + "reason": "Single-file SDXL loading error vs PixArt DreamBooth training error; unrelated." + }, + { + "left": "issue:5138", + "right": "issue:6388", + "accept": false, + "reason": "Training-utils refactor request vs gradient checkpointing being ignored; different issues." + }, + { + "left": "issue:525", + "right": "issue:770", + "accept": false, + "reason": "Notebook local-disk loading vs Colab start-training failure; too broad and not the same bug." + }, + { + "left": "issue:5374", + "right": "issue:7177", + "accept": false, + "reason": "Unexpected checkpoint_path argument vs StableCascadeDecoderPipeline.from_pretrained error; unrelated." + }, + { + "left": "issue:5429", + "right": "issue:6496", + "accept": false, + "reason": "Both mention DreamBooth/examples, but one is generic VAE support and the other is multi-person instance example; not the same change." + }, + { + "left": "issue:5760", + "right": "issue:7405", + "accept": false, + "reason": "Different new model requests: video-to-audio synthesis vs image-to-video DynamiCrafter." + }, + { + "left": "issue:5783", + "right": "issue:8803", + "accept": false, + "reason": "SDXL EMA training bug vs duplicate hidden_states assignment in attention processor; unrelated code paths." + }, + { + "left": "issue:5791", + "right": "issue:5972", + "accept": false, + "reason": "DreamBooth parameter interaction question vs ControlNet docs for min-SNR weighting; not the same bug/change." + }, + { + "left": "issue:5805", + "right": "issue:6079", + "accept": false, + "reason": "Both are dtype mismatch errors, but in different models/pipelines; too generic to treat as duplicates." + }, + { + "left": "issue:5905", + "right": "issue:5947", + "accept": false, + "reason": "Separate model requests with different goals (Diffusion-GAN vs Diffusion-DPO policy objective)." + }, + { + "left": "issue:5925", + "right": "issue:9511", + "accept": false, + "reason": "ZipLoRA multi-LoRA inference vs multi-ControlNet batching; different features." + }, + { + "left": "issue:5977", + "right": "issue:6093", + "accept": false, + "reason": "Saving wrong LoRA keys vs push_to_hub repo creation bug; different training-script issues." + }, + { + "left": "issue:5980", + "right": "issue:6093", + "accept": false, + "reason": "ControlNet SDXL output format question vs push_to_hub behavior in a Consistency Model script; unrelated." + }, + { + "left": "issue:6091", + "right": "issue:6753", + "accept": false, + "reason": "Consistency decoder memory-size issue vs VAE configuration issue; different components." + }, + { + "left": "issue:6092", + "right": "issue:9674", + "accept": false, + "reason": "LoRA example not training vs SD3 ControlNet training quality; different model families and failures." + }, + { + "left": "issue:6203", + "right": "issue:6388", + "accept": false, + "reason": "SDXL controlnet image-size question vs gradient checkpointing ignored in SDXL+LoRA training; unrelated." + }, + { + "left": "issue:6240", + "right": "issue:7871", + "accept": false, + "reason": "AutoPipeline device_map error vs blockwise scales with an SDXL LoRA checkpoint; different runtime paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 102, + "review_unit_index": 364, + "review_unit_count": 364, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-50-3012", + "nodes": [ + "issue:6256", + "issue:6313", + "issue:6457", + "issue:7112", + "issue:7220", + "issue:7438", + "issue:7440", + "issue:7469", + "issue:7798", + "issue:7836", + "issue:7841", + "issue:7962", + "issue:8320", + "issue:8485", + "issue:8500", + "issue:8504", + "issue:8534", + "issue:8540", + "issue:8543", + "issue:8546", + "issue:8645", + "issue:8649", + "issue:8731", + "issue:9032", + "issue:9039", + "issue:9069", + "issue:9220", + "issue:9448", + "issue:9477", + "issue:9873", + "issue:9974" + ], + "soft_pairs": [ + "issue:6256|issue:7962", + "issue:6313|issue:9873", + "issue:6457|issue:8543", + "issue:7112|issue:7440", + "issue:7220|issue:9448", + "issue:7438|issue:8645", + "issue:7469|issue:9220", + "issue:7798|issue:7836", + "issue:7841|issue:8731", + "issue:8320|issue:9477", + "issue:8485|issue:8540", + "issue:8500|issue:8534", + "issue:8504|issue:8540", + "issue:8546|issue:8649", + "issue:9032|issue:9039", + "issue:9069|issue:9974" + ], + "prepared_review_unit_hash": "2ba06f03bd7941b206496dbd6547bca5f05dfd37f54dcb2e68eaf619d235af74", + "component_budget": { + "node_count": 3012, + "item_count": 3012, + "soft_pair_count": 8921, + "serialized_chars": 4761061, + "estimated_input_tokens": 1190266, + "estimated_eval_tokens": 2380788 + }, + "budget": { + "node_count": 31, + "item_count": 31, + "soft_pair_count": 16, + "serialized_chars": 21593, + "estimated_input_tokens": 5399, + "estimated_eval_tokens": 11054 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the items cover unrelated pipeline features, training bugs, model support requests, and docs/questions. No single canonical duplicate stands out, and all soft pairs should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "No clear canonical issue: the set does not center on one underlying bug or feature change; the titles span unrelated subsystems and use cases.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue candidate: none of these issues is a representative duplicate anchor for the others because they are not describing the same problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6256", + "right": "issue:7962", + "accept": false, + "reason": "Both are pipeline API feature requests, but one adds a step-begin callback and the other adds cross_attention_kwargs; different concrete changes." + }, + { + "left": "issue:6313", + "right": "issue:9873", + "accept": false, + "reason": "Both request new pipelines, but for entirely different models and code paths; not the same underlying change." + }, + { + "left": "issue:6457", + "right": "issue:8543", + "accept": false, + "reason": "Different training bugs in different scripts: multi-GPU gradient accumulation vs SD3 dreambooth gradient checkpointing." + }, + { + "left": "issue:7112", + "right": "issue:7440", + "accept": false, + "reason": "Unrelated topics: IP-Adapter image embedding dimensions vs dataset availability for text-to-image." + }, + { + "left": "issue:7220", + "right": "issue:9448", + "accept": false, + "reason": "Same general pipeline family, but distinct failures: unload_ip_adapter error vs runtime tuple/shape error during IP-Adapter use." + }, + { + "left": "issue:7438", + "right": "issue:8645", + "accept": false, + "reason": "XPU generation stall and missing single_file_utils helper are unrelated bugs." + }, + { + "left": "issue:7469", + "right": "issue:9220", + "accept": false, + "reason": "Both mention variable-related errors, but they affect different pipelines and code paths." + }, + { + "left": "issue:7798", + "right": "issue:7836", + "accept": false, + "reason": "PixArtAlpha pipeline bug and CLIP training overfitting are unrelated." + }, + { + "left": "issue:7841", + "right": "issue:8731", + "accept": false, + "reason": "Different problems: image artifact on zoom vs slow batched text-to-image generation." + }, + { + "left": "issue:8320", + "right": "issue:9477", + "accept": false, + "reason": "These are separate exception reports in different contexts; not the same concrete failure." + }, + { + "left": "issue:8485", + "right": "issue:8540", + "accept": false, + "reason": "Both concern SD3 training, but one is LoRA support and the other is caching embeddings/VAE representations; different changes." + }, + { + "left": "issue:8500", + "right": "issue:8534", + "accept": false, + "reason": "SD3 token limit discussion and wrong logit-normal weighting are distinct training concerns." + }, + { + "left": "issue:8504", + "right": "issue:8540", + "accept": false, + "reason": "Different feature requests for SD3 training; not the same implementation change." + }, + { + "left": "issue:8546", + "right": "issue:8649", + "accept": false, + "reason": "Missing from-single-file support and num_images_per_prompt regression are unrelated SD3 issues." + }, + { + "left": "issue:9032", + "right": "issue:9039", + "accept": false, + "reason": "Both are FlaxStableDiffusionPipeline questions, but one is a TPU MWE request and the other is LoRA loading; different issues." + }, + { + "left": "issue:9069", + "right": "issue:9974", + "accept": false, + "reason": "A numpy type error and SD3 controlnet parameter support are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 2, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10327-2", + "nodes": [ + "issue:10327", + "issue:10328" + ], + "soft_pairs": [ + "issue:10327|issue:10328" + ], + "prepared_review_unit_hash": "6f7f962f8abfd105de32b66fa98c7266889f3dbbf8c24e06621cc1e75d90faaf", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1577, + "estimated_input_tokens": 395, + "estimated_eval_tokens": 1046 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1577, + "estimated_input_tokens": 395, + "estimated_eval_tokens": 1046 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are closely related but not duplicates: one is a broad request to propagate applicable quantization settings during model loading, while the other is a specific request to support `optimum.quanto` as a load-time backend.", + "confidence": 0.83, + "canonical_issue_reason": "Issue 10327 is the broader umbrella: it describes the general load-time `quantization_config` application problem and can subsume backend-specific support requests like `optimum.quanto`.", + "canonical_pr_reason": null, + "best_issue_reason": "10327 is the better representative issue because it captures the underlying mechanism rather than one particular quantization backend.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10327", + "right": "issue:10328", + "accept": false, + "reason": "Related scope, but not the same underlying request: 10327 is a general model-loading quantization propagation issue, while 10328 is specifically about adding `optimum.quanto` support." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 3, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10375-2", + "nodes": [ + "issue:10375", + "issue:10433" + ], + "soft_pairs": [ + "issue:10375|issue:10433" + ], + "prepared_review_unit_hash": "95e8965e25668b8e7a1aa854f1354d44fd4981e7567122569c0056c436d41b2b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1528, + "estimated_input_tokens": 382, + "estimated_eval_tokens": 1020 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1528, + "estimated_input_tokens": 382, + "estimated_eval_tokens": 1020 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are closed documentation-link issues, but the evidence only shows broad topical overlap, not the same specific broken links or doc section. Treat them as related but not duplicates.", + "confidence": 0.78, + "canonical_issue_reason": "Issue 10433 is the more specific report (\u201cBroken Links in a Section of Documentation\u201d) and likely represents the better canonical discussion target for this doc-links cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "10433 has the clearer scope and more detailed body, so it is the best issue to anchor the cluster if these are grouped together.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10375", + "right": "issue:10433", + "accept": false, + "reason": "Both are about broken documentation links, but neither identifies the same exact pages or failure mode; the overlap is too broad to treat as the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 4, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6309-3", + "nodes": [ + "issue:10414", + "issue:6309", + "issue:9120" + ], + "soft_pairs": [ + "issue:6309|issue:9120", + "issue:10414|issue:9120" + ], + "prepared_review_unit_hash": "488a2127cc3d37ea80d1ac3273f6be5fe048180d20e385e839bc71614bbf3b0e", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2422, + "estimated_input_tokens": 606, + "estimated_eval_tokens": 1468 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2422, + "estimated_input_tokens": 606, + "estimated_eval_tokens": 1468 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are separate translation requests for different target languages, not duplicates of the same issue. They share a template and topic, but each one is a distinct language-specific task.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue: each ticket targets a different language (Chinese, Japanese, Arabic), so they represent separate work items rather than the same bug/change.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 6309 is the best representative only in the sense that it is the most active/open translation request, but it is not a valid canonical for the others because the language target differs.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6309", + "right": "issue:9120", + "accept": false, + "reason": "Different target languages (Japanese vs Arabic); these are separate translation requests, not the same underlying issue." + }, + { + "left": "issue:10414", + "right": "issue:9120", + "accept": false, + "reason": "Different target languages (Chinese vs Arabic); same template, but distinct work items." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 5, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9900-2", + "nodes": [ + "issue:10457", + "issue:9900" + ], + "soft_pairs": [ + "issue:10457|issue:9900" + ], + "prepared_review_unit_hash": "b1b9cb4ed84b8af2dfa62f237ed31a8be24817d8d43131a1acec8e21ac73095c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1471, + "estimated_input_tokens": 368, + "estimated_eval_tokens": 992 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1471, + "estimated_input_tokens": 368, + "estimated_eval_tokens": 992 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are both vague bug reports, but they appear to concern different areas: one is specifically about FluxPriorReduxPipeline comments, while the other is a generic repaint bug. I would not cluster them as duplicates.", + "confidence": 0.86, + "canonical_issue_reason": "Issue #10457 is the more specific and informative report, with a concrete subsystem reference in the title.", + "canonical_pr_reason": null, + "best_issue_reason": "#10457 is the best representative issue because it is specific enough to anchor the cluster, whereas #9900 is too generic to serve as a canonical example.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10457", + "right": "issue:9900", + "accept": false, + "reason": "The titles point to different underlying problems and different code areas; the overlap is only generic bug language, not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 6, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1046-2", + "nodes": [ + "issue:1046", + "issue:3148" + ], + "soft_pairs": [ + "issue:1046|issue:3148" + ], + "prepared_review_unit_hash": "54e780f9838862f0e09d3f365125be59c4fd476d71448a874b722ded53814b31", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1497, + "estimated_input_tokens": 375, + "estimated_eval_tokens": 1006 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1497, + "estimated_input_tokens": 375, + "estimated_eval_tokens": 1006 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are not duplicates: one is about loading custom pipelines via from_pretrained, the other about promoting community ControlNet pipelines. They share only a very broad pipeline/theme overlap.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1046 is the broader, more foundational topic; 3148 is a narrower community-ControlNet follow-up and not the same underlying problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1046", + "right": "issue:3148", + "accept": false, + "reason": "Different requests and code paths: custom pipeline loading/from_pretrained versus surfacing community ControlNet pipelines. The similarity is only at the high-level pipeline concept." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 7, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10562-2", + "nodes": [ + "issue:10562", + "issue:10599" + ], + "soft_pairs": [ + "issue:10562|issue:10599" + ], + "prepared_review_unit_hash": "6b78a850502c3f79064d013f8bfe43b3dd551b9065df416cc201a0fda17e74f6", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1577, + "estimated_input_tokens": 395, + "estimated_eval_tokens": 1046 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1577, + "estimated_input_tokens": 395, + "estimated_eval_tokens": 1046 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues look closely related at the title level, but the packet only provides soft similarity and no body-level evidence, so they should not be treated as definite duplicates. Issue 10599 is still the better canonical representative because it is more specific.", + "confidence": 0.68, + "canonical_issue_reason": "issue:10599 is the clearer, more specific report: it names the exact error text and the Civitai/popular LoRA context.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:10599 is the best representative issue because it is narrower and more actionable, but the available evidence is not strong enough to prove the two issues are the same bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10562", + "right": "issue:10599", + "accept": false, + "reason": "Only title-level similarity and a moderate soft-similarity score are available, with no body evidence, explicit target, or shared file/target evidence. This is enough to say the reports may be related, but not enough to accept them as the same underlying bug." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The representative choice is not sufficiently grounded. The packet only provides title-level similarity and a soft-similarity score (jaccard ~0.45) with no body evidence, so treating these as definite duplicates or the same underlying bug is too strong. The canonical-issue preference for 10599 is fine, but the soft-edge verdict should be conservative (e.g. \"possibly related\" rather than accepted as same bug)." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 8, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10621-2", + "nodes": [ + "issue:10621", + "issue:11752" + ], + "soft_pairs": [ + "issue:10621|issue:11752" + ], + "prepared_review_unit_hash": "6c7ea69710dcf176964aa7bb1d416dd2dcef51a4f1be4954e17e65ec59c8e34c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1594, + "estimated_input_tokens": 399, + "estimated_eval_tokens": 1054 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1594, + "estimated_input_tokens": 399, + "estimated_eval_tokens": 1054 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "#10621 remains the best canonical issue because it captures the exact TorchaoLoraLinear constructor failure, while #11752 is a broader int8 LoRA-loading report with only title-level overlap.", + "confidence": 0.79, + "canonical_issue_reason": "#10621 is the stronger canonical issue because it names the precise error path (`TorchaoLoraLinear.__init__()` missing `get_apply_tensor_subclass`) and ties it to quantized-model LoRA loading.", + "canonical_pr_reason": null, + "best_issue_reason": "#10621 is the best representative for the cluster since it gives the concrete failure signature; #11752 is too general to serve as the main issue without clearer body-level matching.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10621", + "right": "issue:11752", + "accept": false, + "reason": "Conservative reject: the packet only shows soft similarity and no shared targets/files or body evidence proving the same failure path. The titles suggest related LoRA/int8 loading problems, but that is not enough to treat them as definitively the same bug." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The canonical issue choice is grounded in the packet, but the soft-edge verdict is too strong. The packet only shows title-level similarity and a `soft_similarity` edge with `deterministic_accept: false`; it does not establish that #10621 and #11752 are definitively the same bug. Please keep that pair conservative unless the body text clearly matches the same failure path." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 9, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2413-8", + "nodes": [ + "issue:10680", + "issue:11898", + "issue:11899", + "issue:11900", + "issue:2413", + "issue:2441", + "issue:5929", + "issue:6652" + ], + "soft_pairs": [ + "issue:2413|issue:2441", + "issue:11898|issue:2413", + "issue:11899|issue:2413", + "issue:11900|issue:2413", + "issue:2413|issue:6652", + "issue:2441|issue:6652", + "issue:10680|issue:2441", + "issue:11898|issue:2441", + "issue:11899|issue:2441", + "issue:2413|issue:5929", + "issue:2441|issue:5929", + "issue:11898|issue:5929", + "issue:11899|issue:5929", + "issue:11900|issue:5929", + "issue:10680|issue:6652", + "issue:11898|issue:6652", + "issue:11899|issue:6652", + "issue:10680|issue:2413", + "issue:10680|issue:11898", + "issue:10680|issue:11899", + "issue:11898|issue:11899", + "issue:11898|issue:11900", + "issue:11899|issue:11900", + "issue:11900|issue:2441", + "issue:11900|issue:6652" + ], + "prepared_review_unit_hash": "fe8c5a5cd038a6b26709c80d026634bae527464a6fb9ad27fc6460fca641b80d", + "component_budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 25, + "serialized_chars": 12960, + "estimated_input_tokens": 3240, + "estimated_eval_tokens": 6736 + }, + "budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 25, + "serialized_chars": 12960, + "estimated_input_tokens": 3240, + "estimated_eval_tokens": 6736 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is dominated by duplicate reports about missing fp16 artifacts in Stable Diffusion model repos. Exact duplicates for stabilityai/stable-diffusion-2 should merge; cross-model/version reports (2 vs 2-1 vs v1-5, or base variants) are related but not the same issue.", + "confidence": 0.87, + "canonical_issue_reason": "Issue 2413 is the oldest exact-match report for the stable-diffusion-2 fp16-file absence and has multiple direct duplicates pointing to it.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 2413 is the best representative of the cluster\u2019s clearest duplicate set: repeated stable-diffusion-2 missing-fp16 reports with the broadest direct duplication signal.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2413", + "right": "issue:2441", + "accept": false, + "reason": "Different model targets: stable-diffusion-2 vs stable-diffusion-2-1. Same general symptom, but not the same underlying issue." + }, + { + "left": "issue:11898", + "right": "issue:2413", + "accept": true, + "reason": "Same model and same missing-fp16 problem; this is a direct duplicate of the stable-diffusion-2 report." + }, + { + "left": "issue:11899", + "right": "issue:2413", + "accept": true, + "reason": "Same title and same stable-diffusion-2 missing-fp16 complaint; duplicate." + }, + { + "left": "issue:11900", + "right": "issue:2413", + "accept": true, + "reason": "Same stable-diffusion-2 missing-fp16 issue; duplicate of the older report." + }, + { + "left": "issue:2413", + "right": "issue:6652", + "accept": false, + "reason": "Different model/version and different artifact wording; related category, but not the same bug report." + }, + { + "left": "issue:2441", + "right": "issue:6652", + "accept": true, + "reason": "Both are about stable-diffusion-2-1 missing fp16 artifacts, with the latter naming a specific fp16 safetensors file; same underlying issue." + }, + { + "left": "issue:10680", + "right": "issue:2441", + "accept": false, + "reason": "Base variant vs the general 2-1 model report; too specific/different to treat as the same duplicate." + }, + { + "left": "issue:11898", + "right": "issue:2441", + "accept": false, + "reason": "stable-diffusion-2 vs stable-diffusion-2-1 are different model targets." + }, + { + "left": "issue:11899", + "right": "issue:2441", + "accept": false, + "reason": "stable-diffusion-2 vs stable-diffusion-2-1 are different model targets." + }, + { + "left": "issue:2413", + "right": "issue:5929", + "accept": false, + "reason": "Different model families (stable-diffusion-2 vs runwayml/stable-diffusion-v1-5); same symptom only at a broad category level." + }, + { + "left": "issue:2441", + "right": "issue:5929", + "accept": false, + "reason": "Different model families and versions; not the same underlying issue." + }, + { + "left": "issue:11898", + "right": "issue:5929", + "accept": false, + "reason": "Different model family/version; only the symptom overlaps." + }, + { + "left": "issue:11899", + "right": "issue:5929", + "accept": false, + "reason": "Different model family/version; only the symptom overlaps." + }, + { + "left": "issue:11900", + "right": "issue:5929", + "accept": false, + "reason": "Different model family/version; only the symptom overlaps." + }, + { + "left": "issue:10680", + "right": "issue:6652", + "accept": false, + "reason": "Base-variant 2-1-base report does not cleanly match the general 2-1 safetensors report." + }, + { + "left": "issue:11898", + "right": "issue:6652", + "accept": false, + "reason": "Different model target (stable-diffusion-2 vs stable-diffusion-2-1) and different file-specific complaint." + }, + { + "left": "issue:11899", + "right": "issue:6652", + "accept": false, + "reason": "Different model target (stable-diffusion-2 vs stable-diffusion-2-1) and different file-specific complaint." + }, + { + "left": "issue:10680", + "right": "issue:2413", + "accept": false, + "reason": "stable-diffusion-2-1-base is a different artifact from stable-diffusion-2; related but not a duplicate." + }, + { + "left": "issue:10680", + "right": "issue:11898", + "accept": false, + "reason": "Different model targets: 2-1-base vs 2." + }, + { + "left": "issue:10680", + "right": "issue:11899", + "accept": false, + "reason": "Different model targets: 2-1-base vs 2." + }, + { + "left": "issue:11898", + "right": "issue:11899", + "accept": true, + "reason": "Exact same stable-diffusion-2 missing-fp16 report; clear duplicate." + }, + { + "left": "issue:11898", + "right": "issue:11900", + "accept": true, + "reason": "Exact same stable-diffusion-2 missing-fp16 report; clear duplicate." + }, + { + "left": "issue:11899", + "right": "issue:11900", + "accept": true, + "reason": "Exact same stable-diffusion-2 missing-fp16 report; clear duplicate." + }, + { + "left": "issue:11900", + "right": "issue:2441", + "accept": false, + "reason": "Different model versions: stable-diffusion-2 vs stable-diffusion-2-1." + }, + { + "left": "issue:11900", + "right": "issue:6652", + "accept": false, + "reason": "Different model target and file-specific complaint; not the same issue." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: 2413 is the oldest stable-diffusion-2 report, and 11898/11899/11900 are exact-title duplicates of that same model-specific complaint. The cross-model pairings are handled conservatively as related but not identical, and the accepted soft-edge matches are limited to clearly same-model/same-symptom cases." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 10, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1074-5", + "nodes": [ + "issue:1074", + "issue:1075", + "issue:3329", + "issue:4643", + "issue:5551" + ], + "soft_pairs": [ + "issue:1074|issue:1075", + "issue:1074|issue:3329", + "issue:3329|issue:4643", + "issue:3329|issue:5551" + ], + "prepared_review_unit_hash": "dba09d4f9224dab04dbe499252c8601bab37222045edf5a66f811d8f62bac271", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 4137, + "estimated_input_tokens": 1035, + "estimated_eval_tokens": 2326 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 4137, + "estimated_input_tokens": 1035, + "estimated_eval_tokens": 2326 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are all loosely related support questions about JAX/model usage, but they do not describe the same underlying bug or change. No duplicate cluster emerges here.", + "confidence": 0.91, + "canonical_issue_reason": "No clear canonical issue: the five issues ask different how-to questions (saving models, inference, inpaint model compatibility, ControlNet inference code, and model inversion).", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1075 is the broadest representative of the cluster\u2019s general JAX-inference theme, but it is not a true duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1074", + "right": "issue:1075", + "accept": false, + "reason": "Saving JAX models and using JAX inference are different tasks, not the same defect or request." + }, + { + "left": "issue:1074", + "right": "issue:3329", + "accept": false, + "reason": "Model saving and inpaint-model compatibility are unrelated support questions." + }, + { + "left": "issue:3329", + "right": "issue:4643", + "accept": false, + "reason": "Inpaint model loading vs. ControlNet inference implementation are different code-path questions." + }, + { + "left": "issue:3329", + "right": "issue:5551", + "accept": false, + "reason": "Loading a specific inpaint model is not the same as asking whether any pretrained model can be inverted." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 11, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-807-4", + "nodes": [ + "issue:1093", + "issue:2084", + "issue:807", + "issue:918" + ], + "soft_pairs": [ + "issue:807|issue:918", + "issue:2084|issue:807", + "issue:1093|issue:918" + ], + "prepared_review_unit_hash": "d9f5541b9c3fdad945c5bf06e0db7bf026f1baad254dda90b0f2a68dc70a17a5", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 3321, + "estimated_input_tokens": 831, + "estimated_eval_tokens": 1918 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 3321, + "estimated_input_tokens": 831, + "estimated_eval_tokens": 1918 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are thematically related to Dreambooth/textual inversion training failures, but they describe different underlying problems: low-VRAM limits, train-text-encoder type errors, and a float16/float32 dtype mismatch. I would not merge any of the soft edges.", + "confidence": 0.88, + "canonical_issue_reason": "Issue 807 is the broadest and most central Dreambooth training-failure report in the set, so it is the best umbrella representative even though the others are not true duplicates.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 807 best captures the cluster\u2019s main theme of Dreambooth training not working, but its symptom is still distinct from the other concrete error reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:807", + "right": "issue:918", + "accept": false, + "reason": "Low-VRAM training failure vs. a specific --train-text-encoder type error in train_dreambooth.py; different bug modes." + }, + { + "left": "issue:2084", + "right": "issue:807", + "accept": false, + "reason": "Float16/float32 UNet dtype mismatch is a different concrete failure from an 8GB training/memory issue." + }, + { + "left": "issue:1093", + "right": "issue:918", + "accept": false, + "reason": "Textual inversion with DeepSpeed fallback is a different code path and symptom than the Dreambooth train-text-encoder type error." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 12, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1094-3", + "nodes": [ + "issue:1094", + "issue:1288", + "issue:3227" + ], + "soft_pairs": [ + "issue:1094|issue:1288", + "issue:1288|issue:3227" + ], + "prepared_review_unit_hash": "5f510d1cdc875abf8a27cabaaffa83dfe646862d9a155e61e17a93222c2c058f", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2451, + "estimated_input_tokens": 613, + "estimated_eval_tokens": 1482 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2451, + "estimated_input_tokens": 613, + "estimated_eval_tokens": 1482 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are all about model/inference speedups, but they describe different optimization ideas rather than the same concrete change. Issue 3227 is the broadest umbrella and best representative of the cluster.", + "confidence": 0.73, + "canonical_issue_reason": "Issue 3227 is the most general speed-optimization umbrella (\u201cWinograd Convolution & other Speed Is All You Need optimizations\u201d), while 1094 and 1288 are narrower exploratory ideas around specific third-party acceleration paths.", + "canonical_pr_reason": null, + "best_issue_reason": "3227 best represents the shared theme of performance work because it can encompass multiple speedup approaches without being tied to a single vendor/tool experiment.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1094", + "right": "issue:1288", + "accept": false, + "reason": "Both are exploratory speed-improvement ideas, but one targets kernl and the other NVIDIA TransformerEngine; they are different proposed solutions, not the same underlying change." + }, + { + "left": "issue:1288", + "right": "issue:3227", + "accept": false, + "reason": "They share a performance theme, but 1288 is specifically about TransformerEngine while 3227 is a broader set of optimization ideas, so they are not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 13, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11008-5", + "nodes": [ + "issue:11008", + "issue:11304", + "issue:11326", + "issue:12138", + "issue:12465" + ], + "soft_pairs": [ + "issue:11008|issue:11326", + "issue:11008|issue:12138", + "issue:11304|issue:12465", + "issue:11304|issue:11326", + "issue:11326|issue:12465" + ], + "prepared_review_unit_hash": "29d206ab40aec8161fe5e1f0d11d7d67fe6e411f0fcc60b2ceb4ed55f74fabbd", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 5, + "serialized_chars": 4442, + "estimated_input_tokens": 1111, + "estimated_eval_tokens": 2478 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 5, + "serialized_chars": 4442, + "estimated_input_tokens": 1111, + "estimated_eval_tokens": 2478 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Loose topical cluster around Wan video and Remote VAE, but the evidence only supports relatedness, not duplicate/mergeable identity. None of the issue pairs have enough concrete overlap to accept as the same underlying bug/change.", + "confidence": 0.69, + "canonical_issue_reason": "issue:11326 is the most central and specific issue title in the cluster because it directly names both Wan Video and RemoteVAE, matching the common theme more closely than the broader support/feedback/requirements reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:11326 is still the best single issue to represent the cluster, but only as the focal topic; the surrounding issues are related context, not confirmed duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11008", + "right": "issue:11326", + "accept": false, + "reason": "Related theme only: both mention Wan video / RemoteVAE, but the titles alone do not show the same concrete bug or change. Without body or diff evidence, this is too weak to accept as a duplicate." + }, + { + "left": "issue:11008", + "right": "issue:12138", + "accept": false, + "reason": "The titles point to different concerns: model support versus a requirements/usage question. Related topic, not the same underlying issue." + }, + { + "left": "issue:11304", + "right": "issue:12465", + "accept": false, + "reason": "Both are about Remote VAE, but one is a specific unpacked-latents request and the other is generic feedback. Not enough evidence that they are the same actionable problem." + }, + { + "left": "issue:11304", + "right": "issue:11326", + "accept": false, + "reason": "Same subsystem, but one is a narrow unpacked-latents request and the other is a Wan Video RemoteVAE topic. Too different to treat as duplicates." + }, + { + "left": "issue:11326", + "right": "issue:12465", + "accept": false, + "reason": "Generic Remote VAE feedback is related to Wan Video RemoteVAE, but the available evidence does not show the same concrete issue or a mergeable PR target." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "Most of the summary is grounded, but one soft-edge verdict is too strong for the available evidence: issue:11008 vs issue:11326 is only clearly a related Wan video / RemoteVAE theme from the titles, not a conservative duplicate/mergeable match. With no body or diff evidence, that pair should stay unresolved or be marked related, not accepted. The other pairwise rejections are appropriately conservative." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 14, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9085-5", + "nodes": [ + "issue:11019", + "issue:12899", + "issue:9085", + "issue:9151", + "issue:9910" + ], + "soft_pairs": [ + "issue:11019|issue:9085", + "issue:12899|issue:9085", + "issue:9085|issue:9151", + "issue:9151|issue:9910", + "issue:11019|issue:12899" + ], + "prepared_review_unit_hash": "fe69388c0faedb3ef620ec6cf380b662e1f14264998b449a4fa298f84f344ad9", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 5, + "serialized_chars": 4517, + "estimated_input_tokens": 1130, + "estimated_eval_tokens": 2516 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 5, + "serialized_chars": 4517, + "estimated_input_tokens": 1130, + "estimated_eval_tokens": 2516 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are thematically related ControlNet feature requests, but they target different pipelines/models (Flux, Sana, Z-Image, StableDiffusion latent upscale, img2img). They are not the same underlying bug/change, so they should not be deduplicated.", + "confidence": 0.81, + "canonical_issue_reason": "issue:9085 is the best representative because it is the clearest, most central ControlNet request in this cluster and has the most discussion, but it is still model-specific (Flux) rather than a true umbrella duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9085 is the strongest cluster anchor: it explicitly asks for a ControlNet training script for Flux, which is the most concrete and broadly aligned request among the issues.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11019", + "right": "issue:9085", + "accept": false, + "reason": "Both mention ControlNet training, but one is for Sana and the other for Flux; these are different model-specific requests, not the same change." + }, + { + "left": "issue:12899", + "right": "issue:9085", + "accept": false, + "reason": "Z-Image ControlNet training and Flux ControlNet training are distinct model targets and would require different implementation work." + }, + { + "left": "issue:9085", + "right": "issue:9151", + "accept": false, + "reason": "One requests a training script, the other requests an img2img pipeline; related subsystem, but not the same underlying feature." + }, + { + "left": "issue:9151", + "right": "issue:9910", + "accept": false, + "reason": "ControlNet img2img support and prompt_embeds support in a latent upscale pipeline are unrelated feature requests." + }, + { + "left": "issue:11019", + "right": "issue:12899", + "accept": false, + "reason": "Both are ControlNet-related, but they target different models (Sana vs Z-Image) and different asks, so they are not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 15, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11121-2", + "nodes": [ + "issue:11121", + "issue:11168" + ], + "soft_pairs": [], + "prepared_review_unit_hash": "d58c53e5539858791e9950572647387145ab9e55f79437f26f106245c467a960", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 0, + "serialized_chars": 1203, + "estimated_input_tokens": 301, + "estimated_eval_tokens": 858 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 0, + "serialized_chars": 1203, + "estimated_input_tokens": 301, + "estimated_eval_tokens": 858 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both issues are about adding SageAttention support for the diffuser library, so they are the same feature request. The newer, more specific open issue is the better canonical record.", + "confidence": 0.93, + "canonical_issue_reason": "Issue #11168 is more specific (\u201cSage Attention for diffuser library\u201d), has the richer discussion, and is still open; #11121 is a shorter generic duplicate request.", + "canonical_pr_reason": null, + "best_issue_reason": "#11168 is the best issue to keep as the cluster representative because it is clearer, more detailed, and better reflects the exact requested change.", + "best_pr_reason": null, + "soft_edge_verdicts": [] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 16, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7925-2", + "nodes": [ + "issue:11181", + "issue:7925" + ], + "soft_pairs": [ + "issue:11181|issue:7925" + ], + "prepared_review_unit_hash": "9bb8ab8ec7ab374baef63f9154bd10335b00ce5abd50832577bedff610d1e54d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1585, + "estimated_input_tokens": 397, + "estimated_eval_tokens": 1050 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1585, + "estimated_input_tokens": 397, + "estimated_eval_tokens": 1050 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are both controlnet-training issue reports, but they describe different problems: one is Flux ControlNet training producing bad results on a toy dataset, while the other concerns ControlNet training with LoRA. They overlap in subsystem, not in a clearly shared bug.", + "confidence": 0.83, + "canonical_issue_reason": "Issue 11181 is the more specific and concrete report, naming the exact script (`train_controlnet_flux.py`) and symptom (bad results on fill50k), so it is the better representative issue.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 11181 is the best issue in this cluster because it is the most actionable and narrowly scoped description of the training failure.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11181", + "right": "issue:7925", + "accept": false, + "reason": "Both are about ControlNet training problems, but one is Flux-specific bad output and the other is a LoRA-related training issue; they do not look like the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 17, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11267-2", + "nodes": [ + "issue:11267", + "issue:12542" + ], + "soft_pairs": [ + "issue:11267|issue:12542" + ], + "prepared_review_unit_hash": "150b62bfadf0e417bfe897b619de1ec94b4b30d847ebf4dee351a384434b6494", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1504, + "estimated_input_tokens": 376, + "estimated_eval_tokens": 1008 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1504, + "estimated_input_tokens": 376, + "estimated_eval_tokens": 1008 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are unrelated: one requests adding `onnxruntime-qnn` to a list, the other requests custom `output_params` for `export_to_video`. They do not describe the same bug or change.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11267", + "right": "issue:12542", + "accept": false, + "reason": "Different feature requests in different code areas; no shared underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 18, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2419-12", + "nodes": [ + "issue:11295", + "issue:11460", + "issue:12125", + "issue:12253", + "issue:13061", + "issue:2419", + "issue:2601", + "issue:2611", + "issue:5492", + "issue:5863", + "issue:5918", + "issue:7198" + ], + "soft_pairs": [ + "issue:11295|issue:2419", + "issue:11460|issue:2419", + "issue:12125|issue:2419", + "issue:2419|issue:2601", + "issue:2419|issue:5492", + "issue:11295|issue:2601", + "issue:11460|issue:2601", + "issue:12125|issue:2601", + "issue:2601|issue:5492", + "issue:2611|issue:5492", + "issue:2611|issue:5918", + "issue:12253|issue:2611", + "issue:2419|issue:2611", + "issue:2601|issue:2611", + "issue:12253|issue:5492", + "issue:5492|issue:5918", + "issue:2419|issue:5863", + "issue:11295|issue:5863", + "issue:11460|issue:5863", + "issue:12125|issue:5863", + "issue:12253|issue:5863", + "issue:12253|issue:5918", + "issue:2419|issue:5918", + "issue:2601|issue:5918", + "issue:2419|issue:7198", + "issue:11295|issue:7198", + "issue:11460|issue:7198", + "issue:12125|issue:7198", + "issue:2601|issue:7198", + "issue:11295|issue:11460", + "issue:11295|issue:12125", + "issue:11295|issue:5492", + "issue:11460|issue:12125", + "issue:11460|issue:12253", + "issue:12125|issue:5492", + "issue:12253|issue:13061", + "issue:12253|issue:2419", + "issue:13061|issue:5863", + "issue:11295|issue:13061", + "issue:11460|issue:13061", + "issue:12125|issue:13061" + ], + "prepared_review_unit_hash": "0bcf1952944095f96f2565d4e142eaa92cb106c18efa193c21fec18fd4dd8464", + "component_budget": { + "node_count": 12, + "item_count": 12, + "soft_pair_count": 41, + "serialized_chars": 20972, + "estimated_input_tokens": 5243, + "estimated_eval_tokens": 10742 + }, + "budget": { + "node_count": 12, + "item_count": 12, + "soft_pair_count": 41, + "serialized_chars": 20972, + "estimated_input_tokens": 5243, + "estimated_eval_tokens": 10742 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is mostly several duplicate issue families about missing fp16 model files. The largest and clearest family is CompVis/stable-diffusion-v1-4; a second family is stabilityai/stable-diffusion-2-base; the remaining issues are different repos or different missing-file problems.", + "confidence": 0.88, + "canonical_issue_reason": "issue:2419 is the earliest, cleanest, exact-title report for the main stable-diffusion-v1-4 fp16 missing-files bug, and it anchors the largest duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2419 is the best global representative because it is the canonical early duplicate for the dominant issue family and has the most straightforward title.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11295", + "right": "issue:2419", + "accept": true, + "reason": "Same repo/model family and same missing-fp16-files problem." + }, + { + "left": "issue:11460", + "right": "issue:2419", + "accept": true, + "reason": "Same stable-diffusion-v1-4 fp16 missing-files issue." + }, + { + "left": "issue:12125", + "right": "issue:2419", + "accept": true, + "reason": "Same underlying stable-diffusion-v1-4 fp16 missing-files bug." + }, + { + "left": "issue:2419", + "right": "issue:2601", + "accept": false, + "reason": "Different model repo; same symptom but not the same concrete bug." + }, + { + "left": "issue:2419", + "right": "issue:5492", + "accept": false, + "reason": "Different Stable Diffusion checkpoint/repo, so this is a separate missing-files report." + }, + { + "left": "issue:11295", + "right": "issue:2601", + "accept": false, + "reason": "Different model repo and checkpoint." + }, + { + "left": "issue:11460", + "right": "issue:2601", + "accept": false, + "reason": "Different repo/model; only the fp16 symptom overlaps." + }, + { + "left": "issue:12125", + "right": "issue:2601", + "accept": false, + "reason": "Different repo/model, not one mergeable bug." + }, + { + "left": "issue:2601", + "right": "issue:5492", + "accept": false, + "reason": "Different checkpoints; not the same artifact missing file set." + }, + { + "left": "issue:2611", + "right": "issue:5492", + "accept": false, + "reason": "One is a missing torch_model.bin in depth model; the other is fp16 files in base model." + }, + { + "left": "issue:2611", + "right": "issue:5918", + "accept": false, + "reason": "Different repo and different missing filename/type." + }, + { + "left": "issue:12253", + "right": "issue:2611", + "accept": false, + "reason": "Different model family and different missing file." + }, + { + "left": "issue:2419", + "right": "issue:2611", + "accept": false, + "reason": "Different concrete missing-file problem." + }, + { + "left": "issue:2601", + "right": "issue:2611", + "accept": false, + "reason": "Different repository and different missing artifact." + }, + { + "left": "issue:12253", + "right": "issue:5492", + "accept": true, + "reason": "Both are the same stabilityai/stable-diffusion-2-base fp16 missing-files issue." + }, + { + "left": "issue:5492", + "right": "issue:5918", + "accept": false, + "reason": "Different model versions and different missing artifact specifics." + }, + { + "left": "issue:2419", + "right": "issue:5863", + "accept": true, + "reason": "Same stable-diffusion-v1-4 fp16 filenames problem, just phrased more specifically." + }, + { + "left": "issue:11295", + "right": "issue:5863", + "accept": true, + "reason": "Same stable-diffusion-v1-4 missing-fp16-files bug." + }, + { + "left": "issue:11460", + "right": "issue:5863", + "accept": true, + "reason": "Same underlying v1-4 fp16 filename issue." + }, + { + "left": "issue:12125", + "right": "issue:5863", + "accept": true, + "reason": "Same repo/model and same missing fp16 files." + }, + { + "left": "issue:12253", + "right": "issue:5863", + "accept": false, + "reason": "Different checkpoint family; not the same bug." + }, + { + "left": "issue:12253", + "right": "issue:5918", + "accept": false, + "reason": "Different model family and different specific missing file." + }, + { + "left": "issue:2419", + "right": "issue:5918", + "accept": false, + "reason": "Different checkpoint/version and a different filename-specific issue." + }, + { + "left": "issue:2601", + "right": "issue:5918", + "accept": false, + "reason": "Different repo/model family." + }, + { + "left": "issue:2419", + "right": "issue:7198", + "accept": false, + "reason": "Different repo/model; only the fp16 symptom is shared." + }, + { + "left": "issue:11295", + "right": "issue:7198", + "accept": false, + "reason": "Different checkpoint family." + }, + { + "left": "issue:11460", + "right": "issue:7198", + "accept": false, + "reason": "Different repo/model, not one concrete bug." + }, + { + "left": "issue:12125", + "right": "issue:7198", + "accept": false, + "reason": "Different checkpoint/repo." + }, + { + "left": "issue:2601", + "right": "issue:7198", + "accept": false, + "reason": "Different model repository and artifact set." + }, + { + "left": "issue:11295", + "right": "issue:11460", + "accept": true, + "reason": "Exact same stable-diffusion-v1-4 missing-fp16-files report." + }, + { + "left": "issue:11295", + "right": "issue:12125", + "accept": true, + "reason": "Exact same underlying v1-4 fp16 missing-files issue." + }, + { + "left": "issue:11295", + "right": "issue:5492", + "accept": false, + "reason": "Different model checkpoint family." + }, + { + "left": "issue:11460", + "right": "issue:12125", + "accept": true, + "reason": "Same repo/model and same fp16 missing-files bug." + }, + { + "left": "issue:11460", + "right": "issue:12253", + "accept": false, + "reason": "Different checkpoint family." + }, + { + "left": "issue:12125", + "right": "issue:5492", + "accept": false, + "reason": "Different model repo/version." + }, + { + "left": "issue:12253", + "right": "issue:13061", + "accept": false, + "reason": "Different repos and different failure mode; not the same concrete issue." + }, + { + "left": "issue:12253", + "right": "issue:2419", + "accept": false, + "reason": "Different checkpoint family; same broad symptom only." + }, + { + "left": "issue:13061", + "right": "issue:5863", + "accept": false, + "reason": "Different model and a different fp16-related error path." + }, + { + "left": "issue:11295", + "right": "issue:13061", + "accept": false, + "reason": "Different repository/model." + }, + { + "left": "issue:11460", + "right": "issue:13061", + "accept": false, + "reason": "Different repository/model and issue type." + }, + { + "left": "issue:12125", + "right": "issue:13061", + "accept": false, + "reason": "Different model repo and unrelated filename availability problem." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The grouping is grounded in the packet: 2419/11295/11460/12125/5863 are clearly the same CompVis/stable-diffusion-v1-4 fp16-files issue, while 5492/12253 is a separate stable-diffusion-2-base family, and the remaining issues are different repos or different missing-artifact bugs. The rejected cross-family pairs are conservative, not overstated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 19, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11390-2", + "nodes": [ + "issue:11390", + "issue:11730" + ], + "soft_pairs": [ + "issue:11390|issue:11730" + ], + "prepared_review_unit_hash": "459921b05124092936a290a909b7a091f795d82c1b6b2d3e730863960249444c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1560, + "estimated_input_tokens": 390, + "estimated_eval_tokens": 1036 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1560, + "estimated_input_tokens": 390, + "estimated_eval_tokens": 1036 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two closed issues about training-script follow-ups, but they target different features: image interpolation vs LoRA alpha/metadata handling. They are related in theme, not duplicates.", + "confidence": 0.93, + "canonical_issue_reason": "issue #11390 is the better canonical issue because it has substantially more discussion and inbound references, suggesting broader community attention.", + "canonical_pr_reason": null, + "best_issue_reason": "#11390 is the strongest representative issue for the cluster since it appears more established and widely referenced than #11730.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11390", + "right": "issue:11730", + "accept": false, + "reason": "Both are follow-up issues in training scripts, but they concern different concrete changes. One is about image interpolation; the other is about `--lora_alpha` and metadata handling. Same subsystem, not the same bug/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 20, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-478-5", + "nodes": [ + "issue:1145", + "issue:1238", + "issue:478", + "issue:522", + "issue:523" + ], + "soft_pairs": [ + "issue:478|issue:523", + "issue:522|issue:523", + "issue:1145|issue:522", + "issue:1145|issue:1238" + ], + "prepared_review_unit_hash": "d44b284630057cac98aa37c67947996b56c8a5719d2733f1cd20d8186ffcbd37", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 4098, + "estimated_input_tokens": 1025, + "estimated_eval_tokens": 2306 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 4098, + "estimated_input_tokens": 1025, + "estimated_eval_tokens": 2306 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The set is mostly unrelated Flax issues. The only clear duplicate pair is the PT<->Flax conversion-script request: issues 478 and 523. The other issues concern version breakage, loss instability, and dropout in UNet, which are separate topics.", + "confidence": 0.88, + "canonical_issue_reason": "Issue 478 is the better anchor for the duplicate conversion-script request because it states the feature more completely ('automatic conversion PT <=> Flax script'); issue 523 is essentially the same request phrased more briefly.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 478 is the strongest representative of the only true duplicate subgroup in this set. The remaining issues do not match closely enough to serve as duplicates of it or of each other.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:478", + "right": "issue:523", + "accept": true, + "reason": "Same underlying request: a PT<->Flax conversion script. The titles are near-paraphrases and describe the same feature change." + }, + { + "left": "issue:522", + "right": "issue:523", + "accept": false, + "reason": "Different topics: dropout for Flax UNet versus a PT/Flax conversion script. They do not describe the same bug or change." + }, + { + "left": "issue:1145", + "right": "issue:522", + "accept": false, + "reason": "One is about Flax 0.7.0 not working; the other is a dropout feature request. No shared concrete problem." + }, + { + "left": "issue:1145", + "right": "issue:1238", + "accept": false, + "reason": "Both mention Flax, but one reports version breakage and the other reports crazy loss; these are different failure modes and not the same issue." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analysis is well-grounded in the packet and stays conservative: it accepts only the clearly matching PT<->Flax conversion-script pair (478/523) and rejects the other soft similarities as different topics. The summary does not overstate the evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 21, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-960-5", + "nodes": [ + "issue:11542", + "issue:12185", + "issue:2720", + "issue:4146", + "issue:960" + ], + "soft_pairs": [ + "issue:2720|issue:960", + "issue:11542|issue:2720", + "issue:2720|issue:4146", + "issue:12185|issue:2720" + ], + "prepared_review_unit_hash": "ab9f0b00b514768a147478efe7fcdc84990377dcc97ab18cb127a7d11af84f8b", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 4340, + "estimated_input_tokens": 1085, + "estimated_eval_tokens": 2426 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 4340, + "estimated_input_tokens": 1085, + "estimated_eval_tokens": 2426 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All items are loosely related \u201cwhat\u2019s the difference between X and Y?\u201d questions, but they do not describe the same underlying bug, change, or code-path issue. No soft duplicates should be merged here.", + "confidence": 0.91, + "canonical_issue_reason": "issue:2720 is the earliest and broadest of the LoRA/DreamBooth comparison questions, so if one issue had to stand in for this topic cluster it would be the best anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:2720 is the best representative issue for the cluster because it covers the core LoRA vs DreamBooth script comparison and predates the others.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2720", + "right": "issue:960", + "accept": false, + "reason": "Different topics entirely: LoRA training-script comparison vs scheduler comparison (PNDM vs PLMS)." + }, + { + "left": "issue:11542", + "right": "issue:2720", + "accept": false, + "reason": "Both are LoRA-related comparisons, but they ask about different scripts and a different distinction; not the same underlying issue." + }, + { + "left": "issue:2720", + "right": "issue:4146", + "accept": false, + "reason": "One compares training scripts; the other compares DreamBooth LoRA vs DreamBooth. Related conceptually, but not the same concrete question." + }, + { + "left": "issue:12185", + "right": "issue:2720", + "accept": false, + "reason": "Different comparison target: DreamBooth LoRA vs traditional LoRA, versus text-to-image LoRA vs DreamBooth LoRA." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 22, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11691-2", + "nodes": [ + "issue:11691", + "issue:11692" + ], + "soft_pairs": [ + "issue:11691|issue:11692" + ], + "prepared_review_unit_hash": "a992d89f67d0a1290f61f98a81d88b06316f57565b67e6890cf24359e1faa6c5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1426, + "estimated_input_tokens": 357, + "estimated_eval_tokens": 970 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1426, + "estimated_input_tokens": 357, + "estimated_eval_tokens": 970 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are effectively identical closed spam issues, so they cluster as the same issue class; issue #11691 is the best canonical representative by virtue of being older.", + "confidence": 0.98, + "canonical_issue_reason": "#11691 and #11692 have the same title, same body length, no code references, and no distinguishing metadata; pick the older one as canonical.", + "canonical_pr_reason": null, + "best_issue_reason": "#11691 is as representative as #11692, with identical spam characteristics and earlier creation time, making it the cleanest anchor for the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11691", + "right": "issue:11692", + "accept": true, + "reason": "Identical spam-like issues with no substantive differences; they appear to be the same underlying artifact." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary and canonical choice are grounded in the packet: the two issues have identical titles, equal body length, no refs/filenames, and only differ by timestamp, so using the older one as the canonical representative is conservative. The soft-edge accept is also reasonable given the extremely strong similarity evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 23, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4047-2", + "nodes": [ + "issue:11766", + "issue:4047" + ], + "soft_pairs": [ + "issue:11766|issue:4047" + ], + "prepared_review_unit_hash": "e6d28abdcfd9bbec32380e37efcf75ae489dfd6e6b24282937b8bb470d228d91", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1497, + "estimated_input_tokens": 375, + "estimated_eval_tokens": 1006 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1497, + "estimated_input_tokens": 375, + "estimated_eval_tokens": 1006 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are about related LoRA/adapters functionality, but they do not describe the same underlying bug: one is a concrete bug with adapters under compiled models, the other is a usage question about LoRA scale during loading.", + "confidence": 0.86, + "canonical_issue_reason": "Issue 11766 is the better canonical issue because it is a specific, actionable bug report with a clear failure mode; issue 4047 is more of a general question about LoRA scaling rather than the same defect.", + "canonical_pr_reason": null, + "best_issue_reason": "11766 is the strongest representative for the cluster because it is the more concrete and diagnostic report; 4047 is broader and not clearly the same problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11766", + "right": "issue:4047", + "accept": false, + "reason": "They touch the same LoRA/adapters area, but 11766 concerns setting adapters on a compiled model, while 4047 asks how to set LoRA scale when loading a model. Different behavior, different failure mode, not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 24, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11798-2", + "nodes": [ + "issue:11798", + "issue:12748" + ], + "soft_pairs": [ + "issue:11798|issue:12748" + ], + "prepared_review_unit_hash": "90b138774427459f7432dba78a630bd128d0bd6d52885a9893f7d0e52df28bc2", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1529, + "estimated_input_tokens": 383, + "estimated_eval_tokens": 1022 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1529, + "estimated_input_tokens": 383, + "estimated_eval_tokens": 1022 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are both feature requests for GGUF support, but they target different model families (Cosmos-Predict2 vs Z-Image-Turbo) and do not look like the same underlying bug or change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 12748 is the cleaner standalone request, but it is still model-specific and not a safe canonical for the pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11798", + "right": "issue:12748", + "accept": false, + "reason": "Both ask for GGUF/model-format support, but for different models and likely separate integration work; this is a shared feature theme, not the same duplicate issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 25, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9383-2", + "nodes": [ + "issue:11817", + "issue:9383" + ], + "soft_pairs": [ + "issue:11817|issue:9383" + ], + "prepared_review_unit_hash": "e90c22d0903e138ecc2fccbd8c919014b84570bf10f46c493f2596a2983bded6", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1488, + "estimated_input_tokens": 372, + "estimated_eval_tokens": 1000 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1488, + "estimated_input_tokens": 372, + "estimated_eval_tokens": 1000 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two closed issues are both Flux-related feature requests, but they ask for different capabilities: one for flux_control support on Flux Kontext Dev, and one for bitsandbytes/LoRA model support. They do not appear to be the same underlying bug or change.", + "confidence": 0.89, + "canonical_issue_reason": "Neither issue is a clear duplicate of the other. If one must be chosen, #11817 is the more concrete and narrowly scoped request.", + "canonical_pr_reason": null, + "best_issue_reason": "#11817 is the better representative because it states a specific Flux/Control-related request, while #9383 is a separate LoRA/bitsandbytes support request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11817", + "right": "issue:9383", + "accept": false, + "reason": "Both mention Flux, but they target different features and code paths: flux_control support for Kontext Dev versus bitsandbytes support for LoRA models. This is not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 26, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9585-2", + "nodes": [ + "issue:11956", + "issue:9585" + ], + "soft_pairs": [ + "issue:11956|issue:9585" + ], + "prepared_review_unit_hash": "420f7c7a4a3b754eb0f84d91ee3298f1c3259374d4c74e750e2ad122a067b0a1", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1567, + "estimated_input_tokens": 392, + "estimated_eval_tokens": 1040 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1567, + "estimated_input_tokens": 392, + "estimated_eval_tokens": 1040 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are related in theme (high-guidance artifacts in diffusion models) but do not look like the same underlying request or bug: one is a specific FDG proposal, the other is a broader APG issue about oversaturation/artifacts. I would not merge them as duplicates.", + "confidence": 0.74, + "canonical_issue_reason": "issue:9585 is the broader, more established problem statement about high guidance-scale artifacts; issue:11956 appears to be a narrower proposal (FDG) that could belong under it but is not the same issue.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:9585 is the best single representative because its title and scope cover the general defect class, whereas issue:11956 is a specific technique proposal rather than the same open problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:11956", + "right": "issue:9585", + "accept": false, + "reason": "They share the same broad diffusion-guidance topic, but FDG vs APG indicates different methods/proposals and not a clearly identical underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 27, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12295-3", + "nodes": [ + "issue:12295", + "issue:12344", + "issue:12893" + ], + "soft_pairs": [ + "issue:12295|issue:12344", + "issue:12344|issue:12893" + ], + "prepared_review_unit_hash": "3506a32d05227a5283a7be2f7c5618bfc8732a0d3a55b055fb1ee80f0c033e03", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2389, + "estimated_input_tokens": 598, + "estimated_eval_tokens": 1452 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2389, + "estimated_input_tokens": 598, + "estimated_eval_tokens": 1452 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are not duplicates as a cluster. #12344 is the clearest, most specific Qwen Image bug report; #12295 is a broad umbrella issue; #12893 appears to be a related-but-different Z-Image text-length problem.", + "confidence": 0.84, + "canonical_issue_reason": "#12344 is the most concrete and actionable report: it names a specific Qwen Image field (`txt_seq_lens`) and the alleged problem. #12295 is too vague/broad, and #12893 is about Z-Image rather than Qwen Image.", + "canonical_pr_reason": null, + "best_issue_reason": "#12344 is the best representative issue because it targets a specific, likely root-cause bug in Qwen Image, whereas the others are either too generic or for a different model.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12295", + "right": "issue:12344", + "accept": false, + "reason": "The first issue is an umbrella 'Various' report, while the second is a specific `txt_seq_lens` complaint. They do not clearly describe the same underlying bug." + }, + { + "left": "issue:12344", + "right": "issue:12893", + "accept": false, + "reason": "Both mention text sequence length, but one is for Qwen Image and the other for Z-Image; that is too weak to treat as the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 28, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-282-2", + "nodes": [ + "issue:1232", + "issue:282" + ], + "soft_pairs": [ + "issue:1232|issue:282" + ], + "prepared_review_unit_hash": "89a32dbaa5c6153939c3271711126822226c4505385951690cd170a86e8a083c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1517, + "estimated_input_tokens": 380, + "estimated_eval_tokens": 1016 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1517, + "estimated_input_tokens": 380, + "estimated_eval_tokens": 1016 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are about different bugs in different parts of the product: one is Dreambooth learning-rate scheduling, the other is inpainting on CPU. They should not be clustered as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": "Issue #1232 is the more self-contained and specific bug report, so it is the better representative if a single issue must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #1232 is the clearest standalone bug description; issue #282 is unrelated and not suitable as the cluster representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1232", + "right": "issue:282", + "accept": false, + "reason": "Different underlying problems and code paths: Dreambooth cosine_with_restarts behavior versus CPU support for inpainting. They do not describe the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 29, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12375-2", + "nodes": [ + "issue:12375", + "issue:12990" + ], + "soft_pairs": [ + "issue:12375|issue:12990" + ], + "prepared_review_unit_hash": "76570bb067f21af3fe76e08b1f06cd8c310dabae3cec82bffc15d75b04de4f20", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1550, + "estimated_input_tokens": 388, + "estimated_eval_tokens": 1032 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1550, + "estimated_input_tokens": 388, + "estimated_eval_tokens": 1032 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues appear related and topic-overlapping, but the packet only shows title-level/soft similarity, so duplication is not established with confidence.", + "confidence": 0.48, + "canonical_issue_reason": "#12375 is the earlier, broader thread and is the safer canonical representative for this topic, but the available evidence is not strong enough to treat the pair as confirmed duplicates.", + "canonical_pr_reason": null, + "best_issue_reason": "#12990 is the more explicit and actionable phrasing of the topic, so it is a slightly better representative of the request, though still not enough to prove it is the same underlying issue as #12375.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12375", + "right": "issue:12990", + "accept": false, + "reason": "The evidence only supports soft topical similarity: both mention kernels in Diffusers, but there is no explicit linkage, shared targets, or enough detail to conclude they ask the same underlying request." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The packet only provides title-level similarity plus a soft-similarity signal; it does not support the stronger claim that both issues ask the same underlying request or are near-duplicates with confidence. A more conservative framing would be that they appear related and topic-overlapping, but duplication is not established from the available evidence." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 30, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12410-2", + "nodes": [ + "issue:12410", + "issue:13112" + ], + "soft_pairs": [ + "issue:12410|issue:13112" + ], + "prepared_review_unit_hash": "70c706a919c332b8dfb74480e3edc83bff72ba177758a7692181b12d8e2e53ad", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1558, + "estimated_input_tokens": 390, + "estimated_eval_tokens": 1036 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1558, + "estimated_input_tokens": 390, + "estimated_eval_tokens": 1036 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are unrelated: one is a WanVACEPipeline runtime limitation around low-noise-only operation, the other is a SkyReelsV2DiffusionForcingPipeline package-dependency check problem. The soft duplicate link should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": "issue #12410 is the better canonical representative only in the sense that it is a concrete functional bug report; #13112 is a separate dependency-validation issue in a different pipeline.", + "canonical_pr_reason": null, + "best_issue_reason": "#12410 is the strongest issue to anchor the cluster because it describes a specific pipeline failure mode, while #13112 concerns missing package checks and does not share the same underlying bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12410", + "right": "issue:13112", + "accept": false, + "reason": "Different pipelines and different failure classes: low-noise-stage behavior vs missing available-package checks. They do not describe the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 31, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12569-3", + "nodes": [ + "issue:12569", + "issue:12570", + "issue:12589" + ], + "soft_pairs": [ + "issue:12569|issue:12570", + "issue:12569|issue:12589", + "issue:12570|issue:12589" + ], + "prepared_review_unit_hash": "570a8e9ad155cb10531e945b201e2823a614338630439c5aff6e4cabe070911e", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2729, + "estimated_input_tokens": 683, + "estimated_eval_tokens": 1622 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2729, + "estimated_input_tokens": 683, + "estimated_eval_tokens": 1622 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three different feature requests\u2014TaylorSeer, unified attention, and TeaCache\u2014not duplicates of the same underlying change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No true canonical issue here; if one must be chosen, 12589 is the only open item, but it is a distinct TeaCache request rather than a duplicate of the others.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12569", + "right": "issue:12570", + "accept": false, + "reason": "Different requested features with different mechanisms; only a generic similarity in being feature asks." + }, + { + "left": "issue:12569", + "right": "issue:12589", + "accept": false, + "reason": "TaylorSeer and TeaCache are separate feature ideas, not the same bug or code change." + }, + { + "left": "issue:12570", + "right": "issue:12589", + "accept": false, + "reason": "Unified attention and TeaCache target different model components and do not look mergeable as one change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 32, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1257-3", + "nodes": [ + "issue:1257", + "issue:2950", + "issue:3147" + ], + "soft_pairs": [ + "issue:1257|issue:2950", + "issue:2950|issue:3147" + ], + "prepared_review_unit_hash": "12ef6f353bdc17f8d3edd126539c235396a863f5887dd7da7a5f390717aa2fe9", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2396, + "estimated_input_tokens": 599, + "estimated_eval_tokens": 1454 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2396, + "estimated_input_tokens": 599, + "estimated_eval_tokens": 1454 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Issues 1257 and 2950 both center on img2img/inpaint pipeline API unification and whether img2img should be a separate pipeline; 3147 is a separate performance concern about reducing model loads during pipeline switches.", + "confidence": 0.84, + "canonical_issue_reason": "#1257 is the most concrete and broadly representative of the shared img2img pipeline/API unification theme, with a clearer actionable scope than the more open-ended architectural question in #2950.", + "canonical_pr_reason": null, + "best_issue_reason": "#1257 is the best standalone representative because it names the specific API convention (`init_image`) and spans the same underlying pipeline-structure discussion seen in #2950.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1257", + "right": "issue:2950", + "accept": true, + "reason": "Both issues discuss the same underlying img2img/inpaint pipeline design and image-input API unification; they are close enough to be treated as the same change/theme." + }, + { + "left": "issue:2950", + "right": "issue:3147", + "accept": false, + "reason": "They only overlap at a broad pipeline level: #2950 is about img2img pipeline structure, while #3147 is specifically about reducing model loads on pipeline switches. Different concrete problems and fixes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and the soft-edge verdicts stay conservative. #1257 and #2950 are reasonably tied by the shared img2img/inpaint pipeline structure/API theme, and #3147 is correctly treated as a separate pipeline-switch performance issue rather than the same bugfix." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 33, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1266-2", + "nodes": [ + "issue:1266", + "issue:1295" + ], + "soft_pairs": [ + "issue:1266|issue:1295" + ], + "prepared_review_unit_hash": "c007648f93773a66d713ebd40a392339eec9f2a816ba0ccd0d93ce364ac352a4", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1507, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1507, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both closed issues concern prompt-running failures in the Stable Diffusion/JAX notebook space, but one is generic and the other is a narrower multi-prompt notebook report. They look related, yet the available evidence is too thin to treat them as the same exact bug with high confidence.", + "confidence": 0.55, + "canonical_issue_reason": "Issue 1295 is the more specific and actionable report, with the clearer reproduction context ('multiple prompts' in a named notebook).", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1295 is the best representative because its title better identifies the failing workflow and scope of the problem.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1266", + "right": "issue:1295", + "accept": false, + "reason": "The titles overlap around prompt execution, but 1266 is generic while 1295 is specifically about multiple prompts in one notebook; without shared targets, filenames, or body details, this is not enough to \u092a\u0941\u0937\u094d\u091f\u093f the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 34, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12864-2", + "nodes": [ + "issue:12864", + "issue:12935" + ], + "soft_pairs": [ + "issue:12864|issue:12935" + ], + "prepared_review_unit_hash": "a4406f42548b6b892d669c0a35d8e69b3cf75eca59572798234d46c489120918", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1590, + "estimated_input_tokens": 398, + "estimated_eval_tokens": 1052 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1590, + "estimated_input_tokens": 398, + "estimated_eval_tokens": 1052 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both issues request the same feature: a Diffusers skill for Claude and a Claude Code plugin. They differ only in wording and specificity, so they should be treated as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": "Issue #12935 is the clearest wording of the feature request and explicitly names Hugging Face Diffusers, Claude, and Claude Code.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #12935 is the best representative because it is more explicit while describing the same request as the other issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12864", + "right": "issue:12935", + "accept": true, + "reason": "Same underlying feature request with only minor wording differences; both ask for a Diffusers skill for Claude and a Claude Code plugin." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both issues ask for a Diffusers/Hugging Face Diffusers skill for Claude plus a Claude Code plugin. The soft-edge accept is conservative because the titles are near-paraphrases with only minor wording differences, and the canonical issue choice is supported by the clearer title." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 35, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12925-2", + "nodes": [ + "issue:12925", + "issue:12926" + ], + "soft_pairs": [ + "issue:12925|issue:12926" + ], + "prepared_review_unit_hash": "914390db2e9649f274d90bd5a854a054d643f94b5e2db279e406601e9e50e0a0", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1490, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1490, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two closed issues are about different LTX-2 topics: one requests distilled checkpoint support, the other concerns the condition pipeline. They share only broad project context, not the same underlying problem.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue 12925 is the more concrete, self-contained feature request, but it is not a duplicate of 12926.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:12925", + "right": "issue:12926", + "accept": false, + "reason": "Different scopes: distilled checkpoint support versus condition pipeline. No shared target, filename, or concrete bug/change indicating the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 36, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1296-2", + "nodes": [ + "issue:1296", + "issue:3134" + ], + "soft_pairs": [ + "issue:1296|issue:3134" + ], + "prepared_review_unit_hash": "2be9816aba3c0610185f7d3c77b830dd868b266fa81e3f6c3c2db1307a05f34b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1435, + "estimated_input_tokens": 359, + "estimated_eval_tokens": 974 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1435, + "estimated_input_tokens": 359, + "estimated_eval_tokens": 974 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are related by topic/name, but they do not look like the same underlying bug or request. \"Paella v3\" reads like a distinct follow-up or revision rather than a duplicate of the original \"Paella\" issue.", + "confidence": 0.78, + "canonical_issue_reason": "issue #3134 is the better representative: its title is more specific, it is newer, and it has inbound references, suggesting it is the more central tracking item.", + "canonical_pr_reason": null, + "best_issue_reason": "#3134 is the strongest issue to keep as the cluster anchor because it is the more explicit and better-connected Paella topic.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1296", + "right": "issue:3134", + "accept": false, + "reason": "Shared topic only; the titles suggest a related follow-up/versioning relationship, not the same concrete issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 37, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-871-9", + "nodes": [ + "issue:1333", + "issue:871", + "issue:872", + "issue:873", + "issue:875", + "issue:876", + "issue:877", + "issue:878", + "issue:895" + ], + "soft_pairs": [ + "issue:871|issue:895", + "issue:871|issue:872", + "issue:871|issue:875", + "issue:871|issue:876", + "issue:871|issue:877", + "issue:872|issue:875", + "issue:872|issue:876", + "issue:872|issue:877", + "issue:872|issue:878", + "issue:871|issue:873", + "issue:872|issue:873", + "issue:873|issue:875", + "issue:873|issue:876", + "issue:873|issue:877", + "issue:875|issue:876", + "issue:875|issue:877", + "issue:875|issue:878", + "issue:876|issue:878", + "issue:876|issue:895", + "issue:1333|issue:876", + "issue:876|issue:877", + "issue:877|issue:878", + "issue:872|issue:895", + "issue:873|issue:895", + "issue:875|issue:895", + "issue:1333|issue:878", + "issue:1333|issue:895", + "issue:1333|issue:871", + "issue:1333|issue:872" + ], + "prepared_review_unit_hash": "e6db404f70a6bdddac415d720a6a1dced063bb2104252d82764fe207ec67160b", + "component_budget": { + "node_count": 9, + "item_count": 9, + "soft_pair_count": 29, + "serialized_chars": 14818, + "estimated_input_tokens": 3705, + "estimated_eval_tokens": 7666 + }, + "budget": { + "node_count": 9, + "item_count": 9, + "soft_pair_count": 29, + "serialized_chars": 14818, + "estimated_input_tokens": 3705, + "estimated_eval_tokens": 7666 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are distinct Community Pipeline feature requests, not duplicates of the same bug or change. The overlap is mostly the shared project/theme wording, so all soft edges should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": "No single issue is a true canonical duplicate target here; the cluster is heterogeneous and each item describes a different pipeline or feature request.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 871 is the best representative if one must be chosen: it has the strongest external reference activity and is a broad, high-visibility Community Pipeline request, though it is not a duplicate canonical.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:871", + "right": "issue:895", + "accept": false, + "reason": "Speech-to-image and Imagic are different tasks: audio-conditioned generation vs text-based real-image editing." + }, + { + "left": "issue:871", + "right": "issue:872", + "accept": false, + "reason": "Speech-to-image and Wildcards are unrelated pipeline ideas with different functionality and code paths." + }, + { + "left": "issue:871", + "right": "issue:875", + "accept": false, + "reason": "Speech-to-image and Seed resize address different behaviors; one is modality conversion, the other seed handling." + }, + { + "left": "issue:871", + "right": "issue:876", + "accept": false, + "reason": "Speech-to-image and Composable Diffusion are separate community pipeline concepts, not the same underlying change." + }, + { + "left": "issue:871", + "right": "issue:877", + "accept": false, + "reason": "Speech-to-image and Checkpoint merging solve different problems and would not be merged into one PR." + }, + { + "left": "issue:872", + "right": "issue:875", + "accept": false, + "reason": "Wildcards and Seed resize are unrelated features; they do not describe the same bug or implementation." + }, + { + "left": "issue:872", + "right": "issue:876", + "accept": false, + "reason": "Wildcards and Composable Diffusion are different pipeline features with different intended code changes." + }, + { + "left": "issue:872", + "right": "issue:877", + "accept": false, + "reason": "Wildcards and Checkpoint merging are distinct changes; shared community-pipeline context is too broad." + }, + { + "left": "issue:872", + "right": "issue:878", + "accept": false, + "reason": "Wildcards and Modified Cross-Attention are different features and not the same concrete fix/change." + }, + { + "left": "issue:871", + "right": "issue:873", + "accept": false, + "reason": "Speech-to-image and SD v1-v4 compare are separate requests with different goals and implementation scope." + }, + { + "left": "issue:872", + "right": "issue:873", + "accept": false, + "reason": "Wildcards and SD v1-v4 compare are unrelated features; no shared bug or code path." + }, + { + "left": "issue:873", + "right": "issue:875", + "accept": false, + "reason": "SD v1-v4 compare and Seed resize are distinct pipeline features, not a single change." + }, + { + "left": "issue:873", + "right": "issue:876", + "accept": false, + "reason": "SD v1-v4 compare and Composable Diffusion are different requests with different behavior and code paths." + }, + { + "left": "issue:873", + "right": "issue:877", + "accept": false, + "reason": "SD v1-v4 compare and Checkpoint merging are unrelated changes beyond the broad Stable Diffusion context." + }, + { + "left": "issue:875", + "right": "issue:876", + "accept": false, + "reason": "Seed resize and Composable Diffusion address different functionality and should not be merged as duplicates." + }, + { + "left": "issue:875", + "right": "issue:877", + "accept": false, + "reason": "Seed resize and Checkpoint merging are separate pipeline concerns with no shared concrete bug." + }, + { + "left": "issue:875", + "right": "issue:878", + "accept": false, + "reason": "Seed resize and Modified Cross-Attention are different features and code paths." + }, + { + "left": "issue:876", + "right": "issue:878", + "accept": false, + "reason": "Composable Diffusion and Modified Cross-Attention are both compositional diffusion ideas, but they target different mechanisms and are not the same change." + }, + { + "left": "issue:876", + "right": "issue:895", + "accept": false, + "reason": "Composable Diffusion and Imagic are different community pipeline proposals with different goals." + }, + { + "left": "issue:1333", + "right": "issue:876", + "accept": false, + "reason": "RePaint + Stable Diffusion and Composable Diffusion are distinct pipelines; the overlap is only the shared Stable Diffusion umbrella." + }, + { + "left": "issue:876", + "right": "issue:877", + "accept": false, + "reason": "Composable Diffusion and Checkpoint merging are different changes, not one concrete code-path fix." + }, + { + "left": "issue:877", + "right": "issue:878", + "accept": false, + "reason": "Checkpoint merging and Modified Cross-Attention are unrelated features and should not be deduplicated." + }, + { + "left": "issue:872", + "right": "issue:895", + "accept": false, + "reason": "Wildcards and Imagic are unrelated community pipeline ideas." + }, + { + "left": "issue:873", + "right": "issue:895", + "accept": false, + "reason": "SD v1-v4 compare and Imagic solve different problems and use different implementations." + }, + { + "left": "issue:875", + "right": "issue:895", + "accept": false, + "reason": "Seed resize and Imagic are separate features with no shared underlying bug." + }, + { + "left": "issue:1333", + "right": "issue:878", + "accept": false, + "reason": "RePaint + Stable Diffusion and Modified Cross-Attention are different pipeline concepts and code paths." + }, + { + "left": "issue:1333", + "right": "issue:895", + "accept": false, + "reason": "RePaint + Stable Diffusion and Imagic are different tasks: inpainting/editing pipeline vs text-based real-image editing." + }, + { + "left": "issue:1333", + "right": "issue:871", + "accept": false, + "reason": "RePaint + Stable Diffusion and Speech-to-image are unrelated Community Pipeline requests." + }, + { + "left": "issue:1333", + "right": "issue:872", + "accept": false, + "reason": "RePaint + Stable Diffusion and Wildcards are different feature requests, not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 38, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13362-2", + "nodes": [ + "issue:13362", + "issue:13394" + ], + "soft_pairs": [ + "issue:13362|issue:13394" + ], + "prepared_review_unit_hash": "eb84a297700bf5a481e33c4db7293bb788de9efa71ea5557e6a0be56ab89829f", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1601, + "estimated_input_tokens": 401, + "estimated_eval_tokens": 1058 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1601, + "estimated_input_tokens": 401, + "estimated_eval_tokens": 1058 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are related at a high level (validation gaps in diffusion components) but they describe different bugs in different code paths: one is DDIMPipeline eta-range validation, the other is DDPMScheduler allowing num_inference_steps=0.", + "confidence": 0.93, + "canonical_issue_reason": "issue 13394 is the better representative for this cluster because it is open, concrete, and about a direct scheduler validation inconsistency; issue 13362 is a separate, already-closed DDIMPipeline constraint problem.", + "canonical_pr_reason": null, + "best_issue_reason": "issue 13394 is the strongest standalone issue to anchor on: it states a specific missing validation, names the affected scheduler, and describes the inconsistency clearly.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:13362", + "right": "issue:13394", + "accept": false, + "reason": "Not the same underlying bug: 13362 is about validating eta in DDIMPipeline, while 13394 is about num_inference_steps=0 in DDPMScheduler. Similar theme, different parameter and code path." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 39, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1364-4", + "nodes": [ + "issue:1364", + "issue:2280", + "issue:6853", + "issue:6854" + ], + "soft_pairs": [ + "issue:1364|issue:6853", + "issue:1364|issue:6854", + "issue:2280|issue:6853", + "issue:2280|issue:6854", + "issue:6853|issue:6854" + ], + "prepared_review_unit_hash": "2868716321c2538e17faa7393ff3adb96aea627c244f7ebaa651a0a4c32f9dca", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 5, + "serialized_chars": 4018, + "estimated_input_tokens": 1005, + "estimated_eval_tokens": 2266 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 5, + "serialized_chars": 4018, + "estimated_input_tokens": 1005, + "estimated_eval_tokens": 2266 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Most items are unrelated community questions. The only clear duplicate pair is 6853 and 6854, which share the same inpainting-training request, with 6854 \u044f\u0432\u043d\u043e pointing back to #6853.", + "confidence": 0.96, + "canonical_issue_reason": "Issue 6853 is the substantive report/request; 6854 appears to be a duplicate or follow-up that literally references #6853 in the title and has no body.", + "canonical_pr_reason": null, + "best_issue_reason": "6853 is the best representative of the only true duplicate cluster because it is the original, non-empty issue describing the inpainting training request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1364", + "right": "issue:6853", + "accept": false, + "reason": "A generic question about pre-training Stable Diffusion is not the same underlying request as replacing training for the inpainting model." + }, + { + "left": "issue:1364", + "right": "issue:6854", + "accept": false, + "reason": "Different topics: general pre-training code question vs a specific inpainting training replacement request." + }, + { + "left": "issue:2280", + "right": "issue:6853", + "accept": false, + "reason": "Converting Stable Diffusion to inpainting is a different task from replacing training for the inpainting model." + }, + { + "left": "issue:2280", + "right": "issue:6854", + "accept": false, + "reason": "Related to inpainting, but a conversion script request is not the same underlying change as training replacement." + }, + { + "left": "issue:6853", + "right": "issue:6854", + "accept": true, + "reason": "Same concrete request: both ask to replace training for the Stable Diffusion inpainting model, and 6854 explicitly references 6853 as the target." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The verdict is grounded in the packet: 6853 and 6854 have highly overlapping titles, and 6854 explicitly references #6853 while having no body. The other pairs are conservatively rejected as only soft-similar, with no evidence of the same underlying request." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 40, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-138-2", + "nodes": [ + "issue:138", + "issue:3349" + ], + "soft_pairs": [ + "issue:138|issue:3349" + ], + "prepared_review_unit_hash": "3be9f2b2192a1234d386785f2959f35cc74f87ec45d84fc1aa2166c2a9aee621", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1568, + "estimated_input_tokens": 392, + "estimated_eval_tokens": 1040 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1568, + "estimated_input_tokens": 392, + "estimated_eval_tokens": 1040 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are related to missing transformers, but they describe different problem classes: a concrete runtime ImportError versus missing installation documentation. I would not treat them as duplicates.", + "confidence": 0.86, + "canonical_issue_reason": "Issue #138 is the more concrete, bug-focused report: it describes the actual failure path and error message when the dependency is absent.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #138 is the best representative of the cluster because it captures the actionable runtime problem, whereas #3349 is primarily a documentation/install-instructions complaint.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:138", + "right": "issue:3349", + "accept": false, + "reason": "Reject: #138 is a runtime ImportError in a pipeline code path; #3349 is about missing dependency mention in install docs. Related, but not the same underlying bug/change and not something that would be merged as one fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 41, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1422-2", + "nodes": [ + "issue:1422", + "issue:5193" + ], + "soft_pairs": [ + "issue:1422|issue:5193" + ], + "prepared_review_unit_hash": "f08eff611b2683a6587594f1700103f28a9b8f94c54004ec91b69b6ecbc0b6a3", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1606, + "estimated_input_tokens": 402, + "estimated_eval_tokens": 1060 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1606, + "estimated_input_tokens": 402, + "estimated_eval_tokens": 1060 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are not duplicates: #1422 reports a broken/mosaic output when using CLIPGuidedStableDiffusion with stable-diffusion-2, while #5193 asks how to use a Chinese CLIP model. Different problem statements and likely different resolutions.", + "confidence": 0.96, + "canonical_issue_reason": "If a representative issue is needed, #1422 is the more concrete bug report; however it is not the same underlying problem as #5193.", + "canonical_pr_reason": null, + "best_issue_reason": "#1422 is the clearest standalone issue in this pair because it describes an explicit failure mode, but it should not be merged with #5193.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1422", + "right": "issue:5193", + "accept": false, + "reason": "Different topics: one is a bug about mosaic results on SD2, the other is a usage question about a Chinese CLIP model; not the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 42, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-410-2", + "nodes": [ + "issue:1443", + "issue:410" + ], + "soft_pairs": [ + "issue:1443|issue:410" + ], + "prepared_review_unit_hash": "26225fcab8149f8fb9f8459dc4378f265ecdec56745aabaf6a446e664710c916", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1551, + "estimated_input_tokens": 388, + "estimated_eval_tokens": 1032 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1551, + "estimated_input_tokens": 388, + "estimated_eval_tokens": 1032 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are not duplicates: one is a design request about moving prediction type onto the UNet, while the other reports a hard limitation on UNet internal block channel sizes. They touch different problems and would not be merged as the same underlying issue.", + "confidence": 0.95, + "canonical_issue_reason": "Issue #1443 is the clearer, more actionable representative of the cluster because it states a specific architectural change request and is more self-contained than #410.", + "canonical_pr_reason": null, + "best_issue_reason": "#1443 is the better canonical issue candidate if one must be chosen, since it has a narrower, more explicit scope and reads like a concrete product/design task.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1443", + "right": "issue:410", + "accept": false, + "reason": "The titles and implied problems are unrelated: prediction-type placement on UNet versus channel-size constraints in UNet blocks. They do not describe the same bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 43, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-146-2", + "nodes": [ + "issue:146", + "issue:2626" + ], + "soft_pairs": [ + "issue:146|issue:2626" + ], + "prepared_review_unit_hash": "f540ecc88f38052a27a13f9c4cd2d3fa2eddd2e927dce2f654bdee909ee65e9a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1507, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1507, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both artifacts are feature requests for training examples, but they target different pipelines: a superresolution training example versus a ControlNet training example. They are related in theme, not the same underlying request.", + "confidence": 0.71, + "canonical_issue_reason": "Issue 2626 is the more specific and clearly scoped request, making it a better canonical representative for the training-example feature request cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 2626 is the best single issue because it states the concrete desired example directly and is easier to map to a future implementation.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:146", + "right": "issue:2626", + "accept": false, + "reason": "Different target workflows and model types; they are both example requests, but not the same underlying feature/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 44, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1473-3", + "nodes": [ + "issue:1473", + "issue:4594", + "issue:5990" + ], + "soft_pairs": [ + "issue:1473|issue:4594", + "issue:4594|issue:5990" + ], + "prepared_review_unit_hash": "059e02839c5470a0e0f07d931b15386d47ddb2984165a22ecd55b4845dd78f4b", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2440, + "estimated_input_tokens": 610, + "estimated_eval_tokens": 1476 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2440, + "estimated_input_tokens": 610, + "estimated_eval_tokens": 1476 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three unrelated issue reports: one generic help request, one custom-pipeline gradient question, and one Stable Video Diffusion inpainting implementation problem. None appear to be duplicates of the same underlying bug.", + "confidence": 0.93, + "canonical_issue_reason": "Issue #5990 is the most concrete and actionable report, with a specific pipeline and implementation problem rather than a broad help request.", + "canonical_pr_reason": null, + "best_issue_reason": "#5990 is the best representative issue because it describes a specific technical problem in a named pipeline and is more likely to anchor related discussion than the generic or vague reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1473", + "right": "issue:4594", + "accept": false, + "reason": "#1473 is a generic request for code review/help, while #4594 is a specific custom pipeline gradient issue; they do not describe the same bug." + }, + { + "left": "issue:4594", + "right": "issue:5990", + "accept": false, + "reason": "Both involve pipeline-related troubleshooting, but one is about latents.requires_grad in a custom pipeline and the other about Stable Video Diffusion inpainting implementation issues; these are different problem reports." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 45, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1629-3", + "nodes": [ + "issue:1629", + "issue:1630", + "issue:1631" + ], + "soft_pairs": [ + "issue:1629|issue:1630", + "issue:1629|issue:1631", + "issue:1630|issue:1631" + ], + "prepared_review_unit_hash": "7791ecd730bbd336331f8404d7389134044169f0fe9c239c8d105b0b0ddeb902", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2811, + "estimated_input_tokens": 703, + "estimated_eval_tokens": 1662 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2811, + "estimated_input_tokens": 703, + "estimated_eval_tokens": 1662 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three issues concern flaky/non-deterministic test outputs, but they target different test suites and scenarios (AltDiffusion, common fast tests on MPS, and depth estimator in StableDiffusiondepth2img). They are related in theme, not the same underlying bug.", + "confidence": 0.87, + "canonical_issue_reason": "Issue #1630 is the broadest and most representative description of the cluster: it captures inconsistent outputs in common fast tests on MPS, which fits the shared reproducibility theme better than the two more specialized reports.", + "canonical_pr_reason": null, + "best_issue_reason": "#1630 is the best cluster representative because it is general, clearly states the symptom, and is not tied to one narrowly scoped pipeline test.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1629", + "right": "issue:1630", + "accept": false, + "reason": "Both are flaky-test reports, but one is AltDiffusion-specific and the other is a broader MPS inconsistency report; they do not describe the same concrete failure." + }, + { + "left": "issue:1629", + "right": "issue:1631", + "accept": false, + "reason": "These involve different pipelines and different test components, so they are not the same underlying bug." + }, + { + "left": "issue:1630", + "right": "issue:1631", + "accept": false, + "reason": "Shared nondeterminism theme only; the affected test paths and likely causes differ, so they should not be merged as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 46, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1684-2", + "nodes": [ + "issue:1684", + "issue:1696" + ], + "soft_pairs": [ + "issue:1684|issue:1696" + ], + "prepared_review_unit_hash": "6c4a6d6313db6a2d91539adb45b582f6f2654c8578ac26bdb4d8048f14e46cfd", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1578, + "estimated_input_tokens": 395, + "estimated_eval_tokens": 1046 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1578, + "estimated_input_tokens": 395, + "estimated_eval_tokens": 1046 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items report floating point exception crashes, but they describe different triggers: generic inference vs. changing the scheduler. The overlap is only in the symptom, not clearly the same underlying bug.", + "confidence": 0.84, + "canonical_issue_reason": "Issue #1684 is the broader report of the crash during inference, so it is the better umbrella issue if these need to be tracked together.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #1684 is the best representative because its title describes the more general inference-path failure, making it the most reusable anchor for related reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1684", + "right": "issue:1696", + "accept": false, + "reason": "Reject: both mention a floating point exception, but one is tied to inference generally and the other specifically to changing the scheduler. That suggests different code paths and possibly different bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 47, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1712-2", + "nodes": [ + "issue:1712", + "issue:5861" + ], + "soft_pairs": [ + "issue:1712|issue:5861" + ], + "prepared_review_unit_hash": "35a4cbed0489fc2822c4d4f9563805356c4599b4b12aa23fe75223cce31ade7c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1490, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1490, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are not duplicates: one is about GPU/CPU setup problems in certain modules, while the other is specifically about using ControlNet only with `UNet2DModel`.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Neither issue cleanly represents the other: #5861 is more specific and technically distinct, while #1712 is about a different class of setup/runtime problem. No single canonical issue for this cluster is appropriate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1712", + "right": "issue:5861", + "accept": false, + "reason": "Different underlying problems and code paths: GPU/CPU setup issues vs. ControlNet compatibility with `UNet2DModel`. Similarity is only superficial." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 48, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-329-3", + "nodes": [ + "issue:1748", + "issue:329", + "issue:4463" + ], + "soft_pairs": [ + "issue:1748|issue:329", + "issue:329|issue:4463" + ], + "prepared_review_unit_hash": "6825a888a1475d4309e5373fb73e11fd9478fc362adf17469c3e7c55083c6243", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2424, + "estimated_input_tokens": 606, + "estimated_eval_tokens": 1468 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2424, + "estimated_input_tokens": 606, + "estimated_eval_tokens": 1468 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These three issues are related only by broad Stable Diffusion support questions, but they ask for different capabilities: SD2 support, K-LMS inpainting/img2img support, and guide diffusion/unet_1d_condition support. They do not look like duplicates of the same underlying bug or feature request.", + "confidence": 0.78, + "canonical_issue_reason": "Issue 329 is the most concrete and implementation-specific request, while the others are broader or different support questions; it is the best representative if one issue must anchor the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 329 is the strongest standalone issue because it names a specific missing capability and pipeline context, making it the clearest actionable request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1748", + "right": "issue:329", + "accept": false, + "reason": "Both mention Stable Diffusion support, but one is a general SD v2 compatibility question and the other is a specific K-LMS inpainting/img2img feature request; different underlying changes." + }, + { + "left": "issue:329", + "right": "issue:4463", + "accept": false, + "reason": "These request different support areas and code paths: K-LMS for inpainting/img2img versus guide diffusion and unet_1d_condition support." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 49, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1760-2", + "nodes": [ + "issue:1760", + "issue:4981" + ], + "soft_pairs": [ + "issue:1760|issue:4981" + ], + "prepared_review_unit_hash": "30c52bef685c5c85f279d2a91f306c2594715191d9a92e79eb4d145e88853c77", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1674, + "estimated_input_tokens": 419, + "estimated_eval_tokens": 1094 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1674, + "estimated_input_tokens": 419, + "estimated_eval_tokens": 1094 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both issues concern ONNX Runtime running with the OpenVINO execution provider, but they describe different levels of specificity: one is a generic OpenVINO-EP subgraph runtime exception, while the other is a StableDiffusionPipeline failure using OpenVINO EP. I don\u2019t see enough evidence that they are the same concrete bug.", + "confidence": 0.74, + "canonical_issue_reason": "Issue 1760 is the more direct bug report: it names the concrete ONNXRuntime/OpenVINO-EP runtime exception and is less application-specific.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1760 is the best cluster representative because its title captures the underlying runtime failure more explicitly and broadly than the StableDiffusionPipeline-specific report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1760", + "right": "issue:4981", + "accept": false, + "reason": "Both mention OpenVINO EP with ONNX Runtime, but the evidence only shows a broad subsystem overlap. 4981 is tied to StableDiffusionPipeline and 1760 to a specific subgraph runtime exception, so I can\u2019t confirm the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 50, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1779-2", + "nodes": [ + "issue:1779", + "issue:2582" + ], + "soft_pairs": [ + "issue:1779|issue:2582" + ], + "prepared_review_unit_hash": "832746e07ef5b6b729236fccbdd0f4e18a6b5c96ba86f86383fa57f813839782", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1501, + "estimated_input_tokens": 376, + "estimated_eval_tokens": 1008 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1501, + "estimated_input_tokens": 376, + "estimated_eval_tokens": 1008 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two closed issues have the same title and no distinguishing scope signals, so they are best treated as duplicates; #1779 is the natural canonical issue because it was created first.", + "confidence": 0.95, + "canonical_issue_reason": "#1779 is the earlier-created issue, making it the best canonical representative for this duplicate report.", + "canonical_pr_reason": null, + "best_issue_reason": "#1779 is the strongest issue anchor because it has the same title as #2582 and was opened earlier.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1779", + "right": "issue:2582", + "accept": true, + "reason": "Identical titles and no evidence of distinct scope or targets; they appear to be duplicate reports of the same request." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The cluster decision is mostly grounded, but the reasoning overstates the evidence: both issues have the same discussion_activity, so saying #1779 has 'more discussion context' is not supported by the packet. If you keep the cluster, justify the canonical pick only by earlier creation time (or leave the canonical rationale neutral)." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 51, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1797-2", + "nodes": [ + "issue:1797", + "issue:6182" + ], + "soft_pairs": [ + "issue:1797|issue:6182" + ], + "prepared_review_unit_hash": "f0f2e0b92142ba1e2ca305245e8e9804b73569a54dca82ea9b07cc0df13217fb", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1484, + "estimated_input_tokens": 371, + "estimated_eval_tokens": 998 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1484, + "estimated_input_tokens": 371, + "estimated_eval_tokens": 998 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The pair is only weakly similar on metadata, with no body-content or path-level evidence to support a firm duplicate conclusion. If a canonical issue must be chosen, #6182 is the better metadata-based candidate, but the duplicate judgment should stay tentative.", + "confidence": 0.48, + "canonical_issue_reason": "#6182 is the stronger canonical candidate on metadata alone: it is newer, has more inbound references, and its title is broader/more descriptive.", + "canonical_pr_reason": null, + "best_issue_reason": "#6182 is the best issue to anchor future triage, but only tentatively, because the available evidence does not confirm the two reports describe the same bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1797", + "right": "issue:6182", + "accept": false, + "reason": "The only linkage is a low soft-similarity score (Jaccard 0.23) plus similar titles; there is no body-content evidence showing the same bug or code path, so this is too weak to accept as a duplicate." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The conclusion is too strong for the packet. We only have titles, dates, activity counts, and a soft-similarity edge (jaccard 0.23); there is no body-content evidence that both issues describe the same bug or the same code path. Saying they are 'likely duplicates of the same underlying problem' overstates the evidence. #6182 can be a better canonical candidate on metadata grounds, but the duplicate/merge judgment should remain tentative." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 52, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1837-4", + "nodes": [ + "issue:1837", + "issue:2628", + "issue:3599", + "issue:4575" + ], + "soft_pairs": [ + "issue:1837|issue:2628", + "issue:2628|issue:3599", + "issue:2628|issue:4575" + ], + "prepared_review_unit_hash": "03cc288fecf9b78cc47a59355d366aa7f9a510430ff90fba5eb39b425ea35237", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 3242, + "estimated_input_tokens": 811, + "estimated_eval_tokens": 1878 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 3242, + "estimated_input_tokens": 811, + "estimated_eval_tokens": 1878 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are four unrelated feature/enhancement issues that only loosely share a training/scheduler theme. They do not look like duplicates or the same underlying change.", + "confidence": 0.97, + "canonical_issue_reason": "No clear canonical issue: each ticket asks for a different feature in a different area (textual inversion logging, LR decay scheduling, DAAM, and scheduler self-recurrence).", + "canonical_pr_reason": null, + "best_issue_reason": "If one must be chosen, issue 2628 is the broadest/general enhancement request, but it is still not representative of the others as a duplicate target.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1837", + "right": "issue:2628", + "accept": false, + "reason": "Different requested changes and code paths: image logging for textual inversion vs cosine-decay scheduling." + }, + { + "left": "issue:2628", + "right": "issue:3599", + "accept": false, + "reason": "Both are enhancements, but they target different functionality: scheduler decay vs DAAM attention visualization." + }, + { + "left": "issue:2628", + "right": "issue:4575", + "accept": false, + "reason": "Not the same change: cosine decay scheduling vs adding a self-recurrence trick to schedulers; too distinct to merge as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 53, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-853-2", + "nodes": [ + "issue:1877", + "issue:853" + ], + "soft_pairs": [ + "issue:1877|issue:853" + ], + "prepared_review_unit_hash": "de3a59027a9493f62b81810110bb22d636d5264689d4bb5086a14f610a5bb77a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1668, + "estimated_input_tokens": 417, + "estimated_eval_tokens": 1090 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1668, + "estimated_input_tokens": 417, + "estimated_eval_tokens": 1090 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are both about checkpoint/config conversion around LatentDiffusion, but they describe different problems: one is a model state_dict size-mismatch when loading a generated ckpt/yaml, the other asks whether ckpt conversion should change when training with 8GB VRAM settings. They are related topic-wise but not the same bug report.", + "confidence": 0.86, + "canonical_issue_reason": "Issue #1877 is the more concrete failure report: it includes the exact loading error and asks how to generate ckpt/yaml from a diffuser model. That makes it the better representative of the cluster\u2019s core problem surface.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #1877 is the best standalone issue because it has the clearest reproducible symptom and the most actionable description.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1877", + "right": "issue:853", + "accept": false, + "reason": "Both discuss ckpt conversion, but #1877 is a specific state_dict loading mismatch while #853 is a broader question about whether conversion should change for 8GB VRAM training settings. They do not look like the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 54, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-398-2", + "nodes": [ + "issue:1887", + "issue:398" + ], + "soft_pairs": [ + "issue:1887|issue:398" + ], + "prepared_review_unit_hash": "8fd643d9eb3a88bd57c22762f4532dbb5f7dbb56b66ea356ab72e05c39fa16ac", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1481, + "estimated_input_tokens": 371, + "estimated_eval_tokens": 998 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1481, + "estimated_input_tokens": 371, + "estimated_eval_tokens": 998 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items discuss sampler-related functionality, but they are not clearly the same underlying issue: one is a specific request about using DPM++ 2M Karras in Diffusers, while the other is a broad \"Sampler change\" ticket. I would not merge them as duplicates on the available evidence.", + "confidence": 0.62, + "canonical_issue_reason": "Issue 1887 is the more specific and descriptive sampler request, making it the better canonical issue for this cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 1887 is the strongest representative because it states the concrete sampler variant and intended library, whereas issue 398 is too generic to anchor the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1887", + "right": "issue:398", + "accept": false, + "reason": "They are related to samplers, but the evidence does not show the same concrete bug or change request; 1887 is a specific Diffusers question, while 398 is a broad sampler-change issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 55, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1975-2", + "nodes": [ + "issue:1975", + "issue:4522" + ], + "soft_pairs": [ + "issue:1975|issue:4522" + ], + "prepared_review_unit_hash": "362a578ceceb158065e95ba3e711f60c2634d4ea9850ea9892c72d627384ab9d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1503, + "estimated_input_tokens": 376, + "estimated_eval_tokens": 1008 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1503, + "estimated_input_tokens": 376, + "estimated_eval_tokens": 1008 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related to inpainting, but they describe different problems: textual inversion support vs. using custom inpainting models in the ControlNet inpaint pipeline. Not a duplicate pair.", + "confidence": 0.88, + "canonical_issue_reason": "Issue 4522 is the more concrete and specific report, with a clearer target pipeline and model-loading problem.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4522 is the best representative because it names the exact pipeline and the practical failure mode more precisely than the broader feature request in 1975.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:1975", + "right": "issue:4522", + "accept": false, + "reason": "They overlap on inpainting, but one is about textual inversion support and the other about custom inpainting models in StableDiffusionControlNetInpaintPipeline; different underlying changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 56, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2135-2", + "nodes": [ + "issue:2135", + "issue:2136" + ], + "soft_pairs": [ + "issue:2135|issue:2136" + ], + "prepared_review_unit_hash": "0c6c4b5cacb38033f7b2f34904ae01141a08a019f83bc9c8c5f99b03af7f46dd", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1554, + "estimated_input_tokens": 389, + "estimated_eval_tokens": 1034 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1554, + "estimated_input_tokens": 389, + "estimated_eval_tokens": 1034 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are related to Diffusers model support, but they describe different underlying requests: multilingual/AltDiffusion support vs. lifting the 77-token limit. They should not be treated as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": "No clear canonical duplicate; the issues target different problems and should remain separate.", + "canonical_pr_reason": null, + "best_issue_reason": "issue #2136 is the more concrete technical limitation and is better suited as a tracking issue for implementation work.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2135", + "right": "issue:2136", + "accept": false, + "reason": "Different underlying requests: one is out-of-the-box support for multilingual models, the other is removing the 77-token prompt length limit. They may intersect in downstream usage, but they are not the same bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 57, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2160-3", + "nodes": [ + "issue:2160", + "issue:3185", + "issue:3482" + ], + "soft_pairs": [ + "issue:2160|issue:3185", + "issue:2160|issue:3482", + "issue:3185|issue:3482" + ], + "prepared_review_unit_hash": "5e5f8beb263f98bdc30fa900383feabdf18b8b2fb4ca3bfa5b72fd608e0ede74", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2782, + "estimated_input_tokens": 696, + "estimated_eval_tokens": 1648 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2782, + "estimated_input_tokens": 696, + "estimated_eval_tokens": 1648 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are thematically related Stable Diffusion training/fine-tuning questions, but they do not describe the same underlying bug or change, so no duplicates are accepted.", + "confidence": 0.89, + "canonical_issue_reason": "Issue 3482 is the broadest and most representative of the shared super-resolution/fine-tuning theme, but the three issues are still distinct enough that there is no true canonical duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 3482 is the best single representative for the cluster because it is the most general Stable Diffusion super-resolution fine-tuning question and closest to the overall topic.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2160", + "right": "issue:3185", + "accept": false, + "reason": "2160 is about a LoRA fine-tuning error tied to vae.config.scaling_factor; 3185 is about training a Stable Diffusion upscale-4x model. Same broad domain, but not the same concrete bug or code path." + }, + { + "left": "issue:2160", + "right": "issue:3482", + "accept": false, + "reason": "2160 reports a specific LoRA/VAE scaling-factor error, while 3482 asks about fine-tuning a Stable Diffusion super-resolution model. Different problem statements and no evidence of the same underlying issue." + }, + { + "left": "issue:3185", + "right": "issue:3482", + "accept": false, + "reason": "Both mention super-resolution/upscaling, but 3185 is about training a particular upscale-4x model and 3482 is a general fine-tuning question. Related topic, not a duplicate bug/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 58, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2170-3", + "nodes": [ + "issue:2170", + "issue:2283", + "issue:4691" + ], + "soft_pairs": [ + "issue:2170|issue:4691", + "issue:2170|issue:2283", + "issue:2283|issue:4691" + ], + "prepared_review_unit_hash": "ea8e63e13247872bfd4862b3e02e6a703620748e7fcd212884c8b1498f700ef5", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2996, + "estimated_input_tokens": 749, + "estimated_eval_tokens": 1754 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2996, + "estimated_input_tokens": 749, + "estimated_eval_tokens": 1754 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three items are ONNX-conversion-related, but they describe different failures: opset-version support for stable-diffusion-2-1, a CLIPVisionConfig attribute error for stable-diffusion-v1-5, and unsupported aten::scaled_dot_product_attention export at opset 14. They look like related symptom reports, not duplicates.", + "confidence": 0.89, + "canonical_issue_reason": "Issue 4691 is the clearest concrete export failure and the most actionable representative of the cluster; it has a specific unsupported operator and explicit opset context.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4691 is the best global issue candidate because it states a precise ONNX export limitation with a concrete operator/opset mismatch, unlike the other two which are model-specific setup/config problems or broader opset questions.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2170", + "right": "issue:4691", + "accept": false, + "reason": "Different underlying problems: 2170 asks whether stable-diffusion-2-1 can export with opset 13, while 4691 reports aten::scaled_dot_product_attention failing at opset 14. Same area, not the same bug." + }, + { + "left": "issue:2170", + "right": "issue:2283", + "accept": false, + "reason": "2170 is about opset support during export; 2283 is a CLIPVisionConfig missing num_channels attribute. These are distinct failure modes." + }, + { + "left": "issue:2283", + "right": "issue:4691", + "accept": false, + "reason": "2283 is a configuration/attribute error in model conversion, while 4691 is an unsupported operator export error. They do not look like one underlying code-path issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 59, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2189-4", + "nodes": [ + "issue:2189", + "issue:2739", + "issue:3732", + "issue:4902" + ], + "soft_pairs": [ + "issue:2189|issue:4902", + "issue:2189|issue:2739", + "issue:2739|issue:3732" + ], + "prepared_review_unit_hash": "8960eaf198ba81582decc71895469b053d9649a46a516f452bb4e68a99907720", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 3258, + "estimated_input_tokens": 815, + "estimated_eval_tokens": 1886 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 3258, + "estimated_input_tokens": 815, + "estimated_eval_tokens": 1886 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Only one pair looks like the same underlying issue: both 2189 and 2739 ask whether multiple LoRA adapters/models can be loaded for inference. The other pairs are too broad or refer to safetensors loading in general, not the same LoRA-specific problem.", + "confidence": 0.88, + "canonical_issue_reason": "Issue 2189 is the clearest, most concrete statement of the LoRA multi-load inference problem; 2739 is essentially the same question in less specific wording.", + "canonical_pr_reason": null, + "best_issue_reason": "2189 is the best cluster representative because it names the exact behavior needed and is more actionable than the other issue titles.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2189", + "right": "issue:4902", + "accept": false, + "reason": "Both mention loading, but 4902 is about safetensors loading in general, not specifically loading multiple LoRA weights during inference." + }, + { + "left": "issue:2189", + "right": "issue:2739", + "accept": true, + "reason": "These are the same underlying question: loading multiple LoRA models/weights during inference." + }, + { + "left": "issue:2739", + "right": "issue:3732", + "accept": false, + "reason": "2739 is about multiple LoRA adapters, while 3732 is about using a local safetensors model for inference; different problem." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the only accepted soft-edge pair (2189 \u2194 2739) is conservative given the near-identical LoRA-loading wording in the titles. The rejected pairs are also reasonably cautious: 4902 is about safetensors loading generally, and 3732 is about local safetensors inference, so neither is clearly the same LoRA-multi-load issue. No overstatement is apparent." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 60, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2219-2", + "nodes": [ + "issue:2219", + "issue:5774" + ], + "soft_pairs": [ + "issue:2219|issue:5774" + ], + "prepared_review_unit_hash": "0f787ec6904183186a54ce3e341d95ab69c06db6f6b7f68de4d850fd5cc06a9f", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1536, + "estimated_input_tokens": 384, + "estimated_eval_tokens": 1024 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1536, + "estimated_input_tokens": 384, + "estimated_eval_tokens": 1024 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two related but not duplicate how-to questions about Stable Diffusion fine-tuning; they ask about different training scenarios (super-resolution vs custom captioned image dataset).", + "confidence": 0.83, + "canonical_issue_reason": "issue:5774 is the broader and more general fine-tuning question, so it is the better representative of the cluster if one issue must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:5774 is the strongest single issue to keep because it is more general and better captures the common fine-tuning topic without being tied to the narrower super-resolution variant.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2219", + "right": "issue:5774", + "accept": false, + "reason": "Both are about fine-tuning Stable Diffusion, but they target different use cases and do not describe the same underlying bug or request; this is topical similarity, not duplication." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 61, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2255-2", + "nodes": [ + "issue:2255", + "issue:2256" + ], + "soft_pairs": [ + "issue:2255|issue:2256" + ], + "prepared_review_unit_hash": "528445be577b59a54c3ba2c776247f5a0d58ed579bb0f339d2ef63ed3702aabf", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1593, + "estimated_input_tokens": 399, + "estimated_eval_tokens": 1054 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1593, + "estimated_input_tokens": 399, + "estimated_eval_tokens": 1054 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Issues #2255 and #2256 are the same question with identical titles and very similar bodies, so they should be clustered as duplicates. #2255 is the better canonical issue because it has slightly more discussion activity.", + "confidence": 0.99, + "canonical_issue_reason": "#2255 and #2256 ask the exact same question; #2255 has more discussion activity, so it is the best canonical representative.", + "canonical_pr_reason": null, + "best_issue_reason": "#2255 is the stronger representative because it is the same issue as #2256 and has marginally more engagement.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2255", + "right": "issue:2256", + "accept": true, + "reason": "Identical title and highly similar content indicate the same underlying issue/question." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded in the packet: the titles are identical and the pair has strong soft similarity (jaccard 0.87). The canonical choice is also conservative, since #2255 has more discussion activity than #2256." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 62, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2270-2", + "nodes": [ + "issue:2270", + "issue:2353" + ], + "soft_pairs": [ + "issue:2270|issue:2353" + ], + "prepared_review_unit_hash": "095632f8a662b9f9223a5b0f5429020fb9132cfc2a2bb6f4b009846440c3b569", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1492, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1492, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are not duplicates: one asks about negative prompt support, while the other reports missing denoise support in a specific ONNX inpaint pipeline. They concern different features/code paths.", + "confidence": 0.91, + "canonical_issue_reason": "Issue #2353 is the more concrete, actionable bug report with a specific pipeline and missing capability.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #2353 best represents the cluster because it identifies a concrete implementation gap rather than a general usage question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2270", + "right": "issue:2353", + "accept": false, + "reason": "Different functionality: negative prompt support is a separate feature request from denoise support in OnnxStableDiffusionInpaintPipeline. No clear same-bug/same-change evidence." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 63, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2411-4", + "nodes": [ + "issue:2411", + "issue:2777", + "issue:4253", + "issue:6178" + ], + "soft_pairs": [ + "issue:2411|issue:4253", + "issue:2777|issue:4253", + "issue:2777|issue:6178" + ], + "prepared_review_unit_hash": "26050084cb04c3eab3d0a732acb3bc0a012e4e1aa0de4c8cc23e3a8869d400ce", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 3344, + "estimated_input_tokens": 836, + "estimated_eval_tokens": 1928 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 3344, + "estimated_input_tokens": 836, + "estimated_eval_tokens": 1928 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "No duplicate cluster here: the issues only share superficial Stable Diffusion/Dreambooth wording, but each asks about a different problem or feature.", + "confidence": 0.96, + "canonical_issue_reason": "No canonical issue: the items are not the same underlying bug/request, so none should represent a duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "No single best representative for deduplication; the topics split across performance, Dreambooth support, image-guided generation, and DDPM training.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2411", + "right": "issue:4253", + "accept": false, + "reason": "2411 is a performance complaint about slow image generation; 4253 asks about using an input image with a Dreambooth-fine-tuned model. Different underlying issues." + }, + { + "left": "issue:2777", + "right": "issue:4253", + "accept": false, + "reason": "2777 requests Dreambooth support for Alt Diffusion; 4253 asks about image-guided generation after Dreambooth fine-tuning. Related vocabulary, but not the same change or bug." + }, + { + "left": "issue:2777", + "right": "issue:6178", + "accept": false, + "reason": "2777 is a Dreambooth/Alt Diffusion feature request, while 6178 asks how to train Stable Diffusion with DDPM. Different training methods and goals." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 64, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2709-2", + "nodes": [ + "issue:2709", + "issue:3731" + ], + "soft_pairs": [ + "issue:2709|issue:3731" + ], + "prepared_review_unit_hash": "a9eb727f96862f5a6777c242f464c98ce4bf4b21bbed12590e6cabefe7430849", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1523, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1523, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are not duplicates: one is about saving PyTorch 2.0-compiled models, while the other is a missing-module import error for `models.unet_3d_condition`. They affect different code paths and have different failure modes.", + "confidence": 0.93, + "canonical_issue_reason": "Issue #2709 is the better canonical issue because it describes a broader, user-facing serialization failure that is more likely to represent the main cluster theme.", + "canonical_pr_reason": null, + "best_issue_reason": "#2709 is the strongest representative for this cluster since it is the more general bug report and not a narrow import-path symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2709", + "right": "issue:3731", + "accept": false, + "reason": "Different underlying problems: model saving/serialization for torch.compile in #2709 versus a missing module import in #3731. The titles and likely code paths do not indicate the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 65, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-271-2", + "nodes": [ + "issue:271", + "issue:277" + ], + "soft_pairs": [ + "issue:271|issue:277" + ], + "prepared_review_unit_hash": "8d5ece0a95f4e072595060956e56ec4d8a966c6ac10a8e773dcda47d2854f2e9", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1471, + "estimated_input_tokens": 368, + "estimated_eval_tokens": 992 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1471, + "estimated_input_tokens": 368, + "estimated_eval_tokens": 992 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are related thematically (samplers/schedulers), but they do not look like the same underlying request. #277 is a concrete feature request for additional samplers/schedulers, while #271 is a broader samplers/documentation topic.", + "confidence": 0.84, + "canonical_issue_reason": "#277 is the more specific and actionable issue: it asks for additional samplers/schedulers (e.g. Euler). #271 is broader and appears centered on documentation around samplers rather than the same concrete change.", + "canonical_pr_reason": null, + "best_issue_reason": "#277 is the best representative because it describes a clear, implementable feature request; #271 is too generic/broad to serve as the canonical issue for this cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:271", + "right": "issue:277", + "accept": false, + "reason": "They share the same general sampler theme, but one is documentation-focused and the other is a specific request for more samplers/schedulers. That is not enough to treat them as the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 66, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2750-3", + "nodes": [ + "issue:2750", + "issue:4679", + "issue:6429" + ], + "soft_pairs": [ + "issue:2750|issue:4679", + "issue:4679|issue:6429" + ], + "prepared_review_unit_hash": "4c6786db9cfee47668168d819217b3f05ddfcd391b0e904d91451013c91bf984", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2376, + "estimated_input_tokens": 594, + "estimated_eval_tokens": 1444 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2376, + "estimated_input_tokens": 594, + "estimated_eval_tokens": 1444 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is mostly about ControlNet-related feature requests, but it splits into two topics: a specific face-landmarks ControlNet enhancement, and a LoRA-with-ControlNet request. The LoRA issues look like duplicates of each other; the face-landmarks request is separate.", + "confidence": 0.82, + "canonical_issue_reason": "Issue 4679 is the best canonical issue because it is the most general and still-open request for ControlNet LoRA support, making it the most useful representative for the duplicated LoRA thread.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4679 best represents the cluster\u2019s duplicate pair because its title is broad, directly matches the LoRA-with-ControlNet theme, and it is still open.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2750", + "right": "issue:4679", + "accept": false, + "reason": "Both mention ControlNet, but 2750 is specifically about adding face-landmarks support, while 4679 is about ControlNet LoRA support. They are different requested features, not the same underlying change." + }, + { + "left": "issue:4679", + "right": "issue:6429", + "accept": true, + "reason": "These two issues describe the same underlying request: using or supporting LoRA with the ControlNet pipeline. The wording differs, but the feature target is the same." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The issue selection is grounded in the packet: 4679 is the broad, still-open ControlNet LoRA request, and 6429 is plausibly the same request phrased differently. The rejection of 2750 vs 4679 is appropriately conservative because it is a different ControlNet feature (face-landmarks). The summary stays within the evidence, noting only likely duplication for the LoRA issues and separating the face-landmarks request." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 67, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2820-2", + "nodes": [ + "issue:2820", + "issue:5140" + ], + "soft_pairs": [ + "issue:2820|issue:5140" + ], + "prepared_review_unit_hash": "7ccc1c9ef6f7b090dc3b1e8214aa006c7d3b2967a542129aa15aec117f072da0", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1511, + "estimated_input_tokens": 378, + "estimated_eval_tokens": 1012 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1511, + "estimated_input_tokens": 378, + "estimated_eval_tokens": 1012 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items discuss multi-ControlNet support, but they are not the same request: #2820 is a general img2img feature inquiry, while #5140 is specifically about BLIP-Diffusion lacking multi-ControlNet support.", + "confidence": 0.86, + "canonical_issue_reason": "#5140 is the more concrete and specific issue, making it the better representative of the topic.", + "canonical_pr_reason": null, + "best_issue_reason": "#5140 has a clearer problem statement and is more actionable than the generic question in #2820.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:2820", + "right": "issue:5140", + "accept": false, + "reason": "Related theme, but not the same underlying bug/change: one is a broad img2img feature request, the other is a BLIP-Diffusion-specific limitation." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 68, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3307-2", + "nodes": [ + "issue:3307", + "issue:3356" + ], + "soft_pairs": [ + "issue:3307|issue:3356" + ], + "prepared_review_unit_hash": "8181f82388232db21d43e045a6b608bdc97144c7564b22cf1a29fab291209263", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1522, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1522, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are related DeepFloyd IF fine-tuning questions, but they ask about different things: one is a general fine-tuning question, the other is specifically about `predicted_variance` for textual inversion tuning. They are not duplicates.", + "confidence": 0.91, + "canonical_issue_reason": "Issue 3356 is the broader, more representative question about fine-tuning DeepFloyd IF; issue 3307 is a narrower subtopic rather than the same issue.", + "canonical_pr_reason": null, + "best_issue_reason": "3356 is the best single issue to represent this cluster because it captures the general fine-tuning problem space more cleanly than the very specific `predicted_variance` question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3307", + "right": "issue:3356", + "accept": false, + "reason": "Related topic, but not the same underlying problem: 3307 asks about `predicted_variance` in textual inversion tuning, while 3356 asks generally how to fine-tune DeepFloyd IF." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 69, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3317-3", + "nodes": [ + "issue:3317", + "issue:3502", + "issue:4823" + ], + "soft_pairs": [ + "issue:3317|issue:3502", + "issue:3502|issue:4823" + ], + "prepared_review_unit_hash": "df83233b3d8c79a867846f64979d4ae7803d9a4f061d3fcd4a2327cc1d8c2578", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2451, + "estimated_input_tokens": 613, + "estimated_eval_tokens": 1482 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2451, + "estimated_input_tokens": 613, + "estimated_eval_tokens": 1482 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is only loosely related by vague pipeline/diffusion wording. The first two issues may be adjacent, but the available evidence does not show the same concrete bug; the third looks like a separate feature idea.", + "confidence": 0.61, + "canonical_issue_reason": "issue #3317 is the most concrete, bug-shaped report (scheduler not applying a denoising step). The other issues are broader/vaguer and do not clearly collapse into the same defect.", + "canonical_pr_reason": null, + "best_issue_reason": "#3317 is the best representative issue because it names a specific failing code path and is the most actionable of the three.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3317", + "right": "issue:3502", + "accept": false, + "reason": "Both mention pipelines, but the titles do not identify the same failure mode; #3317 is about a scheduler skipping denoising, while #3502 is a vague rules/pipeline complaint. Not enough evidence they are duplicates." + }, + { + "left": "issue:3502", + "right": "issue:4823", + "accept": false, + "reason": "#3502 sounds like a broken-pipeline complaint, while #4823 is framed as a feature/concept proposal for more flexible diffusers. These do not look like the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 70, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-369-2", + "nodes": [ + "issue:3352", + "issue:369" + ], + "soft_pairs": [ + "issue:3352|issue:369" + ], + "prepared_review_unit_hash": "326d9f3f71407986d830412b40885066204c0e6a84eeed2f49c2006c2e183c05", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1523, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1523, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both issues touch multi-token / multi-vector textual inversion, but the evidence is too thin to treat them as the same request with confidence. #369 is the clearer feature request; #3352 reads more like a usage/help question.", + "confidence": 0.64, + "canonical_issue_reason": "#369 is the broader, more direct feature request about representing a learned concept with more than one token.", + "canonical_pr_reason": null, + "best_issue_reason": "#369 is the best representative because it states the underlying enhancement clearly, whereas #3352 is framed as how to apply the technique.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3352", + "right": "issue:369", + "accept": false, + "reason": "The topics are related, but the packet does not firmly show the same underlying issue: #3352 is a how-to/support question and #369 is a feature request. I would treat this as a plausible relation, not a confirmed duplicate." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The relationship is plausible from the titles, but the soft-edge verdict is a bit too strong given the limited evidence in the packet. #3352 reads as a how-to/support question, while #369 is a feature request; treating them as the same underlying request is not fully grounded and should be stated more cautiously." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 71, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3423-2", + "nodes": [ + "issue:3423", + "issue:4490" + ], + "soft_pairs": [ + "issue:3423|issue:4490" + ], + "prepared_review_unit_hash": "c3b8b8c08517efb1880d593081bb730b7c444510f4ec579d0d4483d6017bfffa", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1523, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1523, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two closed issues do not look like duplicates: one describes a launch hang when creating a model, while the other is a checkpoint-to-\u0926iffusers conversion error involving text_config_dict. They share only a broad model-related theme.", + "confidence": 0.93, + "canonical_issue_reason": "No canonical issue: the reports describe different failure modes and code paths, so neither clearly represents the other.", + "canonical_pr_reason": null, + "best_issue_reason": "Neither issue is a good global representative for the cluster because they are not the same underlying bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3423", + "right": "issue:4490", + "accept": false, + "reason": "Different symptoms and likely different subsystems: a startup/launch stall versus a conversion-time config error. The overlap is only broad model tooling." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 72, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3538-2", + "nodes": [ + "issue:3538", + "issue:5756" + ], + "soft_pairs": [ + "issue:3538|issue:5756" + ], + "prepared_review_unit_hash": "757fc8c96c8f684fac6dfe4030071c2f88993f96da6c8ae9f63c4a718bea34eb", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1539, + "estimated_input_tokens": 385, + "estimated_eval_tokens": 1026 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1539, + "estimated_input_tokens": 385, + "estimated_eval_tokens": 1026 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are both about LoRA-related workflows, but they ask different questions: one about finetuning ControlNet when merging SD models with different LoRAs, and the other about generating an LCM LoRA from an existing model. They do not look like duplicates of the same underlying bug or request.", + "confidence": 0.9, + "canonical_issue_reason": "Issue #5756 is the more substantive and discussion-heavy support question, but the cluster is not truly duplicate-worthy because the topics differ.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #5756 is the best representative of the cluster only by activity and specificity; it is the clearest standalone issue here.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3538", + "right": "issue:5756", + "accept": false, + "reason": "Different requests and different workflows: merging SD/ControlNet with LoRAs vs creating an LCM LoRA. They share the LoRA keyword, but not the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 73, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3544-2", + "nodes": [ + "issue:3544", + "issue:4785" + ], + "soft_pairs": [ + "issue:3544|issue:4785" + ], + "prepared_review_unit_hash": "f6523f1b9f63f061cf8d7866b03727978c5a8f9303a1310f27c8477f16711ba6", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1504, + "estimated_input_tokens": 376, + "estimated_eval_tokens": 1008 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1504, + "estimated_input_tokens": 376, + "estimated_eval_tokens": 1008 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are not duplicates: #3544 asks a conceptual question about whether latents should be scaled by the scheduler, while #4785 is a separate typo report in the Euler discrete scheduler. They mention the same general area, but not the same underlying bug or change.", + "confidence": 0.93, + "canonical_issue_reason": "#3544 is the more substantive and general scheduler-related issue; #4785 is a narrow typo report and does not appear to share the same problem statement.", + "canonical_pr_reason": null, + "best_issue_reason": "#3544 is the best representative of the cluster because it covers the broader technical question, whereas #4785 is unrelated beyond the scheduler context.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3544", + "right": "issue:4785", + "accept": false, + "reason": "Different topics: one is about latent scaling semantics, the other is a typo in a specific scheduler implementation. Shared subsystem alone is not enough to mark them duplicate." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 74, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-358-2", + "nodes": [ + "issue:358", + "issue:363" + ], + "soft_pairs": [ + "issue:358|issue:363" + ], + "prepared_review_unit_hash": "f8aad0a933d1eedc88261e1fcb6ea662af3ef0ae1a44ba65ce78ce6ce0d34047", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1520, + "estimated_input_tokens": 380, + "estimated_eval_tokens": 1016 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1520, + "estimated_input_tokens": 380, + "estimated_eval_tokens": 1016 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues both mention Apple MPS, but they describe different failure modes: one is a concrete error in `unet_2d_condition.py`, while the other says prompt arrays fail to generate images at all. I do not think they are the same underlying bug.", + "confidence": 0.82, + "canonical_issue_reason": "Issue #358 is the more concrete report: it names the specific failing file (`unet_2d_condition.py`) and describes an explicit MPS error, making it the better anchor for this cluster if a single issue must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #358 is the best issue candidate because it is more specific and actionable than #363, which is broader and symptom-level.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:358", + "right": "issue:363", + "accept": false, + "reason": "Reject: both mention Apple MPS, but one is a file-specific runtime error and the other is a prompt-array generation failure; the symptoms and likely code paths are not clearly the same." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 75, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3684-2", + "nodes": [ + "issue:3684", + "issue:4150" + ], + "soft_pairs": [ + "issue:3684|issue:4150" + ], + "prepared_review_unit_hash": "8a05264a4aaaefe33883aca23ffdaa951103378a4bcc98762e59e2a4f82f27e5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1480, + "estimated_input_tokens": 370, + "estimated_eval_tokens": 996 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1480, + "estimated_input_tokens": 370, + "estimated_eval_tokens": 996 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related only at a very high level (both ask about model training), but they describe different tasks: img2img fine-tuning vs. training a text-to-image model based on SDXL. They do not look like duplicates of the same underlying issue.", + "confidence": 0.93, + "canonical_issue_reason": "Issue #4150 is the more specific and actionable training question (SDXL text-to-image), so it is the better representative issue if one must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "#4150 is the best issue candidate because it names the concrete model family and training setup, making it easier to anchor discussion than the broader img2img fine-tuning question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3684", + "right": "issue:4150", + "accept": false, + "reason": "Different training goals and model types: one asks about img2img fine-tuning, the other about training a text-to-image SDXL model. Shared theme is too broad to treat as the same issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 76, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-380-2", + "nodes": [ + "issue:380", + "issue:465" + ], + "soft_pairs": [ + "issue:380|issue:465" + ], + "prepared_review_unit_hash": "a9c935f3a0984d6fa2e20a8e83adf1ff0e0268dc47e175e6f9993b7603102886", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1490, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1490, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are related to the scheduler, but they point at different problems: one is about unused `init` parameters, the other about inconsistent `offset` handling. They do not look like the same underlying bug.", + "confidence": 0.89, + "canonical_issue_reason": "Issue #465 is the more concrete bug report: it names a specific scheduler behavior discrepancy (`offset` usage) rather than a generic cleanup concern.", + "canonical_pr_reason": null, + "best_issue_reason": "#465 is the best anchor for the cluster because it describes the actionable functional issue and has more inbound references.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:380", + "right": "issue:465", + "accept": false, + "reason": "Different problem statements: unused `init` parameters vs `offset` usage discrepancy. No shared filenames/targets, and the similarity is too weak to treat as the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 77, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-405-2", + "nodes": [ + "issue:3827", + "issue:405" + ], + "soft_pairs": [ + "issue:3827|issue:405" + ], + "prepared_review_unit_hash": "cf4e86ec096a68dd4a232a1f0f44c5e91e02e2e35dc97959ca9ced1fe790501f", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1532, + "estimated_input_tokens": 383, + "estimated_eval_tokens": 1022 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1532, + "estimated_input_tokens": 383, + "estimated_eval_tokens": 1022 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues look possibly related at the title level, but the packet does not provide enough evidence to treat them as the same underlying bug. The match is weak: no shared targets, filenames, or body-level details tie them to one concrete root cause.", + "confidence": 0.61, + "canonical_issue_reason": "Issue 405 is still the better canonical issue because it is the broader, earlier report and uses more generic wording that can absorb related tokenizer-error reports, but it should be treated cautiously rather than as a confirmed duplicate target.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 405 is the best issue representative for clustering because its wording is more general and likely to match related reports, while 3827 appears more specific to one usage scenario.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3827", + "right": "issue:405", + "accept": false, + "reason": "Reject as a duplicate edge: the evidence is limited to modest title similarity and a soft similarity signal. There are no shared targets, filenames, or body details showing the same root cause, so they should only be considered possibly related." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The merge/duplication claim is too strong for the packet evidence. We only have title-level similarity and a modest Jaccard score, with no shared targets, filenames, or body evidence showing the same root cause. The summary and soft-edge verdict should stay more conservative (e.g., 'possibly related' rather than 'same underlying bug')." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 78, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3988-2", + "nodes": [ + "issue:3988", + "issue:5503" + ], + "soft_pairs": [ + "issue:3988|issue:5503" + ], + "prepared_review_unit_hash": "18656b2a62f44c66b725b072fb27c39dc634ca29b278e84b0a745c760a076fc2", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1549, + "estimated_input_tokens": 388, + "estimated_eval_tokens": 1032 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1549, + "estimated_input_tokens": 388, + "estimated_eval_tokens": 1032 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are both about ControlNet, but they describe different user problems: one asks how to use part of a ControlNet model with an inpaint pipeline, while the other is specifically about ControlNet Scribble with SDXL. They do not look like the same underlying bug or change.", + "confidence": 0.87, + "canonical_issue_reason": "No clear duplicate cluster among the issues; if one must be treated as the representative issue, #5503 is the more concrete, product-specific report.", + "canonical_pr_reason": null, + "best_issue_reason": "#5503 is the better representative issue because it is a more specific, actionable problem statement tied to a particular ControlNet/SDXL configuration.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:3988", + "right": "issue:5503", + "accept": false, + "reason": "Different use cases and failure modes: one is a general question about partial ControlNet usage with an inpaint pipeline, the other is a specific SDXL Scribble ControlNet issue. Similar subsystem, but not the same underlying problem." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 79, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4017-2", + "nodes": [ + "issue:4017", + "issue:7231" + ], + "soft_pairs": [ + "issue:4017|issue:7231" + ], + "prepared_review_unit_hash": "ca7d70cfe321a136b1b279ffb9e6675618590c8516662446b039a8a0d4d8b4f4", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1490, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1490, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues look related around blockwise/block-based LoRA weighting, but the evidence is limited to title similarity. There is not enough body-level detail to confirm they are duplicates, so the soft link should be treated as a likely relation rather than a merge-worthy match.", + "confidence": 0.64, + "canonical_issue_reason": "Issue 7231 is the clearest and most specific wording of the apparent request, so it is the better representative if these are grouped together.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 7231 is the best issue representative because it is more explicit and readable, but the similarity alone is not enough to call it a confirmed duplicate of 4017.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4017", + "right": "issue:7231", + "accept": false, + "reason": "The titles are broadly similar, but there is no supporting body evidence, explicit linkage, or shared target/file evidence to confirm the same underlying request. They appear related, not proven duplicates." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The linkage is plausible from the titles, but the packet only provides soft similarity and no body-level evidence. The analyst states the issues are the same request too definitively; a more conservative verdict would be that they appear related, not confirmed duplicates." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 80, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4161-2", + "nodes": [ + "issue:4161", + "issue:4162" + ], + "soft_pairs": [ + "issue:4161|issue:4162" + ], + "prepared_review_unit_hash": "d32dca72efad0e732d0b7e9522b388dbdc6b0adc08c167684c8f407bef1b7fa3", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1476, + "estimated_input_tokens": 369, + "estimated_eval_tokens": 994 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1476, + "estimated_input_tokens": 369, + "estimated_eval_tokens": 994 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two different issue reports in SD.Next, not duplicates: one about Kandinsky Prior and one about Img2Img.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue: the reports describe different problems and different code paths.", + "canonical_pr_reason": null, + "best_issue_reason": "4161 is the more specific report, but it is not a duplicate target for 4162.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4161", + "right": "issue:4162", + "accept": false, + "reason": "The titles point to unrelated failures in different features (Kandinsky Prior vs Img2Img), so they do not appear to be the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 81, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4367-2", + "nodes": [ + "issue:4367", + "issue:6863" + ], + "soft_pairs": [ + "issue:4367|issue:6863" + ], + "prepared_review_unit_hash": "b8f883838666efc1bd24ea428e65c8f1a206dd118f30ba5bbc220dbb7fd074e0", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1512, + "estimated_input_tokens": 378, + "estimated_eval_tokens": 1012 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1512, + "estimated_input_tokens": 378, + "estimated_eval_tokens": 1012 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both issues request the same missing AutoPipeline `from_single_file()` support, phrased as a feature gap in the same API surface. They are likely duplicates, with 6863 being the clearer, later report.", + "confidence": 0.91, + "canonical_issue_reason": "issue:6863 is the more direct and specific report (\u201cfrom_single_file missing in AutoPipeline API\u201d), making it the best representative of the underlying request.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:6863 best captures the concrete API gap in current wording and is the clearest canonical issue for deduping.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4367", + "right": "issue:6863", + "accept": true, + "reason": "Same underlying request: AutoPipeline should support `from_single_file()`. The titles differ only in wording, not in substance." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both issues describe the same AutoPipeline `from_single_file()` gap, and the duplicate/representative call is conservative. No evidence is overstated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 82, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4601-2", + "nodes": [ + "issue:4601", + "issue:4602" + ], + "soft_pairs": [ + "issue:4601|issue:4602" + ], + "prepared_review_unit_hash": "16761e15c47f064def76d90ab3fe932d9c1ae4f16164af494c6f0d02658fcf83", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1488, + "estimated_input_tokens": 372, + "estimated_eval_tokens": 1000 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1488, + "estimated_input_tokens": 372, + "estimated_eval_tokens": 1000 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related ControlNet SDXL checkpoint requests, but they ask for different model variants and do not appear to be duplicates.", + "confidence": 0.95, + "canonical_issue_reason": "Issue 4602 is the more general request about SDXL refiner+base support, so it is the better representative if one must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "Neither issue is a strong duplicate target; 4602 is slightly broader and more central, while 4601 is a specific NormalBae/Tile/MLSD checkpoint request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4601", + "right": "issue:4602", + "accept": false, + "reason": "They request different ControlNet SDXL checkpoint variants (NormalBae/Tile/MLSD vs refiner+base), so they are not the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 83, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4658-2", + "nodes": [ + "issue:4658", + "issue:6763" + ], + "soft_pairs": [ + "issue:4658|issue:6763" + ], + "prepared_review_unit_hash": "f9538dde15a1875ec808c6c08a20042e26de496f5deec9b1f73335b4be8a34b9", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1508, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1508, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are not duplicates: one asks whether AudioLDM should use a separate UNet class, while the other reports that `timestep` should be forced to a tensor in UNet. They concern different code paths and different kinds of changes.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue: the issues are about unrelated problems (pipeline/class design vs UNet input typing).", + "canonical_pr_reason": null, + "best_issue_reason": "Neither issue is a good cluster anchor because they do not describe the same underlying bug or change.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4658", + "right": "issue:6763", + "accept": false, + "reason": "Different subjects and remedies: AudioLDM pipeline class separation vs forcing `timestep` to tensor in UNet; no shared concrete bug/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 84, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4732-2", + "nodes": [ + "issue:4732", + "issue:4970" + ], + "soft_pairs": [ + "issue:4732|issue:4970" + ], + "prepared_review_unit_hash": "c1e58fa4e1b872dbd75e8a172ddba4dee7619a36c2b11354f4dbc8862a2b4cd9", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1494, + "estimated_input_tokens": 374, + "estimated_eval_tokens": 1004 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1494, + "estimated_input_tokens": 374, + "estimated_eval_tokens": 1004 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are about different topics and do not look like duplicates: one is about prompt precedence in sd-webui-controlnet/diffusers, the other is about tile_colorfix in diffusers.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 4732 is the more general and clearly stated user-facing problem, but it is not a canonical duplicate of 4970 because the underlying bugs differ.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4732", + "right": "issue:4970", + "accept": false, + "reason": "The titles describe unrelated behaviors: prompt importance/controlnet precedence versus tile_colorfix. No shared code path or concrete duplicate signal is present." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 85, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4900-2", + "nodes": [ + "issue:4900", + "issue:5691" + ], + "soft_pairs": [ + "issue:4900|issue:5691" + ], + "prepared_review_unit_hash": "4040c8309fa719d6c02482785a17707bc6964802fdf75521f605aaaa82814cdb", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1506, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1506, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are closed issues about inpaint behavior/settings, but they appear to cover different user questions: one about choosing a starting point, the other about explaining inpaint modes (fill/original/latent options). They are related, but not clearly duplicates of the same underlying bug or request.", + "confidence": 0.76, + "canonical_issue_reason": "Issue #5691 is the broader, more descriptive inpaint-mode issue and is the better canonical reference for this cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "#5691 is the best representative because it explicitly covers the inpaint mode options and is broader than the narrower starting-point request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:4900", + "right": "issue:5691", + "accept": false, + "reason": "Related inpaint topics, but the titles suggest different requests: selecting a starting point vs understanding/changing inpaint mode variants. Not enough evidence they are the same bug/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 86, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5141-2", + "nodes": [ + "issue:5141", + "issue:5566" + ], + "soft_pairs": [ + "issue:5141|issue:5566" + ], + "prepared_review_unit_hash": "d51ff64c2fb533033f3406e564bf0830fb089f5de265d9fca372b3b945bfd471", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1495, + "estimated_input_tokens": 374, + "estimated_eval_tokens": 1004 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1495, + "estimated_input_tokens": 374, + "estimated_eval_tokens": 1004 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are not duplicates: one asks for configuring how many checkpoints to save, while the other asks to save multiple models into a single file. They touch related storage behavior but different user goals and likely different implementations.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 5566 is the more concrete representative of the storage/serialization theme, but it should not be treated as a duplicate of 5141.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5141", + "right": "issue:5566", + "accept": false, + "reason": "Different requests: checkpoint retention count vs packing multiple models into one file. Related area, but not the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 87, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5228-13", + "nodes": [ + "issue:5228", + "issue:5229", + "issue:5230", + "issue:5231", + "issue:5241", + "issue:5252", + "issue:5257", + "issue:5260", + "issue:5262", + "issue:5263", + "issue:5264", + "issue:5302", + "issue:5548" + ], + "soft_pairs": [ + "issue:5228|issue:5229", + "issue:5228|issue:5230", + "issue:5228|issue:5231", + "issue:5228|issue:5241", + "issue:5228|issue:5302", + "issue:5229|issue:5230", + "issue:5229|issue:5231", + "issue:5229|issue:5241", + "issue:5229|issue:5302", + "issue:5230|issue:5231", + "issue:5230|issue:5241", + "issue:5230|issue:5302", + "issue:5231|issue:5241", + "issue:5231|issue:5302", + "issue:5241|issue:5302", + "issue:5252|issue:5548", + "issue:5228|issue:5257", + "issue:5229|issue:5257", + "issue:5230|issue:5257", + "issue:5231|issue:5257", + "issue:5241|issue:5257", + "issue:5260|issue:5262", + "issue:5260|issue:5263", + "issue:5260|issue:5264", + "issue:5228|issue:5260", + "issue:5229|issue:5260", + "issue:5262|issue:5263", + "issue:5262|issue:5264", + "issue:5228|issue:5262", + "issue:5229|issue:5262", + "issue:5263|issue:5264", + "issue:5228|issue:5263", + "issue:5229|issue:5263", + "issue:5228|issue:5264", + "issue:5229|issue:5264", + "issue:5228|issue:5548", + "issue:5229|issue:5548", + "issue:5230|issue:5548", + "issue:5231|issue:5548" + ], + "prepared_review_unit_hash": "c26f49091c2e99c7959774545c7ed1b1ab5f7e0eedf4818975255bb3cea1bba2", + "component_budget": { + "node_count": 13, + "item_count": 13, + "soft_pair_count": 39, + "serialized_chars": 20752, + "estimated_input_tokens": 5188, + "estimated_eval_tokens": 10632 + }, + "budget": { + "node_count": 13, + "item_count": 13, + "soft_pair_count": 39, + "serialized_chars": 20752, + "estimated_input_tokens": 5188, + "estimated_eval_tokens": 10632 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are mostly separate HacktoberFest issues with similar wording but different concrete targets (different models, functions, pipelines, or language translations). I would not collapse any of the soft pairs as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 5228 is the broadest representative of the 'Missing Docstrings' task set, but it is still a distinct issue rather than a duplicate of the others.", + "canonical_pr_reason": null, + "best_issue_reason": "5228 is the best single issue to anchor the cluster because it is a clear, central docstring task and the most general among the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5228", + "right": "issue:5229", + "accept": false, + "reason": "Different targets: UNet2DConditionModel vs Autoencoder encode." + }, + { + "left": "issue:5228", + "right": "issue:5230", + "accept": false, + "reason": "Different targets: UNet2DConditionModel vs Autoencoder decode." + }, + { + "left": "issue:5228", + "right": "issue:5231", + "accept": false, + "reason": "Different targets: UNet2DConditionModel vs Adapters." + }, + { + "left": "issue:5228", + "right": "issue:5241", + "accept": false, + "reason": "Different targets: UNet2DConditionModel vs W\u00fcrstchen." + }, + { + "left": "issue:5228", + "right": "issue:5302", + "accept": false, + "reason": "Different tasks: missing docstrings for a model vs DeepFloyd IF docstrings." + }, + { + "left": "issue:5229", + "right": "issue:5230", + "accept": false, + "reason": "Related autoencoder methods, but encode and decode are distinct functions and not the same underlying task." + }, + { + "left": "issue:5229", + "right": "issue:5231", + "accept": false, + "reason": "Different targets: Autoencoder encode vs Adapters." + }, + { + "left": "issue:5229", + "right": "issue:5241", + "accept": false, + "reason": "Different targets: Autoencoder encode vs W\u00fcrstchen." + }, + { + "left": "issue:5229", + "right": "issue:5302", + "accept": false, + "reason": "Different tasks: Autoencoder encode docstrings vs DeepFloyd IF docstrings." + }, + { + "left": "issue:5230", + "right": "issue:5231", + "accept": false, + "reason": "Different targets: Autoencoder decode vs Adapters." + }, + { + "left": "issue:5230", + "right": "issue:5241", + "accept": false, + "reason": "Different targets: Autoencoder decode vs W\u00fcrstchen." + }, + { + "left": "issue:5230", + "right": "issue:5302", + "accept": false, + "reason": "Different tasks: Autoencoder decode docstrings vs DeepFloyd IF docstrings." + }, + { + "left": "issue:5231", + "right": "issue:5241", + "accept": false, + "reason": "Different targets: Adapters vs W\u00fcrstchen." + }, + { + "left": "issue:5231", + "right": "issue:5302", + "accept": false, + "reason": "Different tasks: Adapters docstrings vs DeepFloyd IF docstrings." + }, + { + "left": "issue:5241", + "right": "issue:5302", + "accept": false, + "reason": "Different targets: W\u00fcrstchen vs DeepFloyd IF docstrings." + }, + { + "left": "issue:5252", + "right": "issue:5548", + "accept": false, + "reason": "Same broad documentation area, but different languages (Thai vs Portuguese) and separate translation work." + }, + { + "left": "issue:5228", + "right": "issue:5257", + "accept": false, + "reason": "One is docstrings for a model; the other is removal of outdated schedulers." + }, + { + "left": "issue:5229", + "right": "issue:5257", + "accept": false, + "reason": "One is docstrings for an autoencoder method; the other is removal of outdated schedulers." + }, + { + "left": "issue:5230", + "right": "issue:5257", + "accept": false, + "reason": "One is docstrings for an autoencoder method; the other is removal of outdated schedulers." + }, + { + "left": "issue:5231", + "right": "issue:5257", + "accept": false, + "reason": "One is docstrings for adapters; the other is removal of outdated schedulers." + }, + { + "left": "issue:5241", + "right": "issue:5257", + "accept": false, + "reason": "One is docstrings for W\u00fcrstchen; the other is removal of outdated schedulers." + }, + { + "left": "issue:5260", + "right": "issue:5262", + "accept": false, + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionXLPipeline vs StableDiffusionPipeline." + }, + { + "left": "issue:5260", + "right": "issue:5263", + "accept": false, + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionXLPipeline vs StableDiffusionControlNetPipeline." + }, + { + "left": "issue:5260", + "right": "issue:5264", + "accept": false, + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionXLPipeline vs StableDiffusionControlNetImg2ImgPipeline." + }, + { + "left": "issue:5228", + "right": "issue:5260", + "accept": false, + "reason": "Different tasks: docstrings for UNet2DConditionModel vs shrinking a fast test for StableDiffusionXLPipeline." + }, + { + "left": "issue:5229", + "right": "issue:5260", + "accept": false, + "reason": "Different tasks: autoencoder encode docstrings vs shrinking a fast test for StableDiffusionXLPipeline." + }, + { + "left": "issue:5262", + "right": "issue:5263", + "accept": false, + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionPipeline vs StableDiffusionControlNetPipeline." + }, + { + "left": "issue:5262", + "right": "issue:5264", + "accept": false, + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionPipeline vs StableDiffusionControlNetImg2ImgPipeline." + }, + { + "left": "issue:5228", + "right": "issue:5262", + "accept": false, + "reason": "Different tasks: docstrings for UNet2DConditionModel vs shrinking a fast test for StableDiffusionPipeline." + }, + { + "left": "issue:5229", + "right": "issue:5262", + "accept": false, + "reason": "Different tasks: autoencoder encode docstrings vs shrinking a fast test for StableDiffusionPipeline." + }, + { + "left": "issue:5263", + "right": "issue:5264", + "accept": false, + "reason": "Same test-sizing theme, but different pipelines: StableDiffusionControlNetPipeline vs StableDiffusionControlNetImg2ImgPipeline." + }, + { + "left": "issue:5228", + "right": "issue:5263", + "accept": false, + "reason": "Different tasks: docstrings for UNet2DConditionModel vs shrinking a fast test for StableDiffusionControlNetPipeline." + }, + { + "left": "issue:5229", + "right": "issue:5263", + "accept": false, + "reason": "Different tasks: autoencoder encode docstrings vs shrinking a fast test for StableDiffusionControlNetPipeline." + }, + { + "left": "issue:5228", + "right": "issue:5264", + "accept": false, + "reason": "Different tasks: docstrings for UNet2DConditionModel vs shrinking a fast test for StableDiffusionControlNetImg2ImgPipeline." + }, + { + "left": "issue:5229", + "right": "issue:5264", + "accept": false, + "reason": "Different tasks: autoencoder encode docstrings vs shrinking a fast test for StableDiffusionControlNetImg2ImgPipeline." + }, + { + "left": "issue:5228", + "right": "issue:5548", + "accept": false, + "reason": "Different documentation tasks: missing docstrings vs Portuguese translation work." + }, + { + "left": "issue:5229", + "right": "issue:5548", + "accept": false, + "reason": "Different documentation tasks: autoencoder encode docstrings vs Portuguese translation work." + }, + { + "left": "issue:5230", + "right": "issue:5548", + "accept": false, + "reason": "Different documentation tasks: autoencoder decode docstrings vs Portuguese translation work." + }, + { + "left": "issue:5231", + "right": "issue:5548", + "accept": false, + "reason": "Different documentation tasks: adapters docstrings vs Portuguese translation work." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 88, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5311-2", + "nodes": [ + "issue:5311", + "issue:7366" + ], + "soft_pairs": [ + "issue:5311|issue:7366" + ], + "prepared_review_unit_hash": "9baa15ce715d4bc4c18dd5b8396d7a1c035ada17a0d724c727c80cd770458816", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1546, + "estimated_input_tokens": 387, + "estimated_eval_tokens": 1030 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1546, + "estimated_input_tokens": 387, + "estimated_eval_tokens": 1030 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two closed issues are related only at a broad API level (`load_lora_weights`), but they describe different failure modes: one is a missing attribute on `StableDiffusionXLPipeline`, the other is a dora-specific loading error. I would not treat them as duplicates.", + "confidence": 0.87, + "canonical_issue_reason": "Issue #5311 is the cleaner canonical issue because it names a concrete, specific exception (`StableDiffusionXLPipeline` missing `load_lora_weights`) and is the more directly actionable bug report.", + "canonical_pr_reason": null, + "best_issue_reason": "#5311 is the best representative of the cluster since it captures the core API/attribute problem most precisely; #7366 is narrower and appears to involve a different error path.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5311", + "right": "issue:7366", + "accept": false, + "reason": "Both mention `load_lora_weights`, but the reported problems are not the same underlying bug: one is an AttributeError on SDXL pipeline, the other is a dora-related failure. Too broad to merge as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 89, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5333-2", + "nodes": [ + "issue:5333", + "issue:5375" + ], + "soft_pairs": [ + "issue:5333|issue:5375" + ], + "prepared_review_unit_hash": "0deae05513793c00509fb1782ebd4d0e53e0a7ff0b44f709d25f2d27484bc701", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1637, + "estimated_input_tokens": 410, + "estimated_eval_tokens": 1076 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1637, + "estimated_input_tokens": 410, + "estimated_eval_tokens": 1076 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues report a similar missing `from_single_file` attribute, but they affect different pipeline classes and there\u2019s not enough evidence they\u2019re the same concrete bug instance.", + "confidence": 0.58, + "canonical_issue_reason": "#5333 is the better canonical issue because it was opened earlier and already describes the missing `from_single_file` problem across multiple ControlNet inpaint pipeline variants.", + "canonical_pr_reason": null, + "best_issue_reason": "#5333 is the broadest and most representative report of the defect, so it is the best issue to anchor triage.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5333", + "right": "issue:5375", + "accept": false, + "reason": "Both mention `from_single_file`, but they concern different pipeline classes (`ControlNetInpaint*` vs `StableDiffusionXLControlNetPipeline`). That is too broad to treat as the same underlying bug without a shared code-path or fix evidence." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 90, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5762-2", + "nodes": [ + "issue:5762", + "issue:9733" + ], + "soft_pairs": [ + "issue:5762|issue:9733" + ], + "prepared_review_unit_hash": "c56561610ac3c46e0a376adeb069497581a101378c3f64ab7e958a8d359731f7", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1557, + "estimated_input_tokens": 390, + "estimated_eval_tokens": 1036 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1557, + "estimated_input_tokens": 390, + "estimated_eval_tokens": 1036 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues describe unrelated problems: one is a TemporalConvLayer dimension-mismatch error, the other is a FluxControlNetInpaintPipeline compatibility problem with XLabs controlnets. They are not duplicates.", + "confidence": 0.96, + "canonical_issue_reason": "Issue #9733 is the broader, more specific user-facing bug report with clearer context and newer discussion activity.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #9733 is the better canonical issue because it identifies a concrete pipeline incompatibility and appears to capture the current actionable problem more clearly than the older, narrower TemporalConvLayer error report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:5762", + "right": "issue:9733", + "accept": false, + "reason": "These reports concern different code paths and symptoms: a TemporalConvLayer dimension mismatch versus a FluxControlNetInpaintPipeline/XLabs controlnet incompatibility. They do not look like the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 91, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6033-2", + "nodes": [ + "issue:6033", + "issue:6034" + ], + "soft_pairs": [ + "issue:6033|issue:6034" + ], + "prepared_review_unit_hash": "88cc9339d70cac902f4469d8a81ccd71373766a651b5e4c1b42ae1c4ddc61e08", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1669, + "estimated_input_tokens": 418, + "estimated_eval_tokens": 1092 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1669, + "estimated_input_tokens": 418, + "estimated_eval_tokens": 1092 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "6034 is the better-documented issue to keep as canonical, but the match with 6033 is only a soft one based on title similarity and the shared error signature.", + "confidence": 0.74, + "canonical_issue_reason": "6034 is the stronger report because it includes the triggering context (converting a VAE safetensor to diffusers) in addition to the same UnicodeDecodeError title seen in 6033.", + "canonical_pr_reason": null, + "best_issue_reason": "6034 is the best issue to keep as the representative report since it has more actionable context and the same visible error signature as 6033.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6033", + "right": "issue:6034", + "accept": false, + "reason": "The packet only shows title-level overlap and a soft_similarity signal; there is not enough body evidence to confirm they are the same underlying bug." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The canonical choice is plausible, but the writeup is a bit too confident for the evidence in the packet. We only have title-level overlap plus a soft_similarity signal; there is no body evidence tying both reports to the same root cause. Saying they are the same underlying failure / clearly the same conversion failure overstates what is directly supported. A more conservative phrasing would treat 6034 as the better-documented candidate while noting the match is only soft." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 92, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-615-2", + "nodes": [ + "issue:615", + "issue:765" + ], + "soft_pairs": [ + "issue:615|issue:765" + ], + "prepared_review_unit_hash": "1b5cb7d587897acf0456ca31a307fcffe02130f90f0e96a01a97cb0f0402ecab", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1494, + "estimated_input_tokens": 374, + "estimated_eval_tokens": 1004 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1494, + "estimated_input_tokens": 374, + "estimated_eval_tokens": 1004 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two unrelated closed feature/help questions: one asks about an outpainting demo, the other about adding undesired content to the txt2img pipe. They do not describe the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:615", + "right": "issue:765", + "accept": false, + "reason": "Different topics and user intents; no shared concrete problem, code path, or change request beyond both being pipeline-related questions." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 93, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6406-2", + "nodes": [ + "issue:6406", + "issue:6430" + ], + "soft_pairs": [ + "issue:6406|issue:6430" + ], + "prepared_review_unit_hash": "55ed4235ef36a12592b8e5d7078a141fb02ccac33a4b5126ba8331d75b639fe2", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1543, + "estimated_input_tokens": 386, + "estimated_eval_tokens": 1028 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1543, + "estimated_input_tokens": 386, + "estimated_eval_tokens": 1028 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are related to custom pipeline support, but they describe different problems: one is a concrete feature/bug in `lpw_stable_diffusion_xl`, the other is documentation inaccuracy for custom pipelines. They should not be clustered as duplicates.", + "confidence": 0.89, + "canonical_issue_reason": "#6406 is the more concrete, actionable bug report: it identifies a specific pipeline and the missing support for new run parameters.", + "canonical_pr_reason": null, + "best_issue_reason": "#6406 is the best representative issue because it describes a specific runtime behavior problem rather than a documentation complaint.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6406", + "right": "issue:6430", + "accept": false, + "reason": "Related topic, but not the same underlying issue: one is a pipeline feature gap, the other says the custom pipeline docs are inaccurate." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 94, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6882-2", + "nodes": [ + "issue:6882", + "issue:7765" + ], + "soft_pairs": [ + "issue:6882|issue:7765" + ], + "prepared_review_unit_hash": "ac689aedd7b6dcf220b5e1f8efb8cc6996f6afb7a1562ca71240f145b31f22ca", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1558, + "estimated_input_tokens": 390, + "estimated_eval_tokens": 1036 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1558, + "estimated_input_tokens": 390, + "estimated_eval_tokens": 1036 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are not duplicates: #6882 reports slow SDXL inference on Cloud TPU v5e for non-1024 image sizes, while #7765 reports fp16 NaN outputs in FlaxStableDiffusionXLPipeline. They describe different failure modes, triggers, and likely code paths.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue: the reports describe distinct bugs rather than one underlying defect.", + "canonical_pr_reason": null, + "best_issue_reason": "#7765 is the more concrete, reproducible bug report, but it is still separate from #6882.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:6882", + "right": "issue:7765", + "accept": false, + "reason": "Different symptoms and contexts: TPU performance regression at non-1024 sizes versus fp16 NaN generation. Not the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 95, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7383-2", + "nodes": [ + "issue:7383", + "issue:8596" + ], + "soft_pairs": [ + "issue:7383|issue:8596" + ], + "prepared_review_unit_hash": "e3233197e266ab28fa7afe4c560df93d8d2e7a485322dca2498fe1cefc5b7a26", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1513, + "estimated_input_tokens": 379, + "estimated_eval_tokens": 1014 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1513, + "estimated_input_tokens": 379, + "estimated_eval_tokens": 1014 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are closely related ControlNet/Playground v2.5 training requests, but the evidence is only title-level soft similarity and does not support a firm duplicate conclusion. No PRs are present.", + "confidence": 0.61, + "canonical_issue_reason": "Issue 8596 is the clearer, more specific phrasing of the shared request, so it is the better issue to use as the representative when grouping these two.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 8596 is the most readable and specific title for the shared topic, but the match is still only a soft relatedness signal rather than a confirmed duplicate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7383", + "right": "issue:8596", + "accept": false, + "reason": "The titles are related, but the packet only shows soft similarity and no stronger evidence that they are the same underlying feature request. This is not enough for a duplicate-style accept." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is a bit too definitive for the evidence available. The packet only shows title-level soft similarity between two issues, and the pair is explicitly not a deterministic accept. It is reasonable to say they are related, but not safe to conclude they are the same feature request with high confidence. The \"no PRs are present\" part is grounded, but the soft-edge verdict is not conservative enough." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 96, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7608-2", + "nodes": [ + "issue:7608", + "issue:9661" + ], + "soft_pairs": [ + "issue:7608|issue:9661" + ], + "prepared_review_unit_hash": "d76aff7a3939a41f943459e44bdf56fc6ebd5a05fbda8771bbcd9ca72b84841b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1508, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1508, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues both concern `from_pretrained`, but they describe different API concerns: one asks for `strict=False`, the other asks whether the `filename` argument was removed. They are related, but not the same underlying bug/request.", + "confidence": 0.43, + "canonical_issue_reason": "Issue #7608 is the broader, more general `from_pretrained` behavior request and is the better representative of this small cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "#7608 is the clearest cluster representative because it is a direct feature request around loading behavior, while #9661 is a narrower parameter-regression question.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7608", + "right": "issue:9661", + "accept": false, + "reason": "Same method, but different concerns: `strict=False` support vs. a missing/removed `filename` argument. They are not clearly the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 97, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7677-2", + "nodes": [ + "issue:7677", + "issue:8907" + ], + "soft_pairs": [ + "issue:7677|issue:8907" + ], + "prepared_review_unit_hash": "41c991290503fa7dcdb365b635c4a5fac854dca303c854f668ab689bae6c06f9", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1525, + "estimated_input_tokens": 382, + "estimated_eval_tokens": 1020 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1525, + "estimated_input_tokens": 382, + "estimated_eval_tokens": 1020 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are both in the tests area, but they address different goals: speeding up fast pipeline tests vs improving transformer model test coverage. They do not describe the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": "Issue #7677 is the more central tests-performance thread, with higher discussion and inbound references, so it is the better representative issue if one must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #7677 is the best overall issue to anchor the cluster because it is broader and more actively referenced, while #8907 is a separate coverage-improvement request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7677", + "right": "issue:8907", + "accept": false, + "reason": "Reject: the titles and bodies point to different test workstreams\u2014pipeline speedups versus model test coverage\u2014so they are not the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 98, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7928-2", + "nodes": [ + "issue:7928", + "issue:9081" + ], + "soft_pairs": [ + "issue:7928|issue:9081" + ], + "prepared_review_unit_hash": "1ab4e12028da8a76b1ad49aec2cfa2e97ab61dfe1b8c88ab8c85202dcfa4cf95", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1458, + "estimated_input_tokens": 365, + "estimated_eval_tokens": 986 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1458, + "estimated_input_tokens": 365, + "estimated_eval_tokens": 986 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two unrelated feature requests: one for Kandinsky 3.1 support and one for ControlNet support for Flux.1. They should not be clustered as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical issue: the two issues request support for different model/features and do not describe the same underlying problem.", + "canonical_pr_reason": null, + "best_issue_reason": "Neither issue is a good canonical representative because they are distinct requests; if forced, 9081 is slightly more concrete, but they should remain separate.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:7928", + "right": "issue:9081", + "accept": false, + "reason": "Different feature requests for different models (Kandinsky 3.1 vs Flux.1 ControlNet); not the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 99, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8619-2", + "nodes": [ + "issue:8619", + "issue:8748" + ], + "soft_pairs": [ + "issue:8619|issue:8748" + ], + "prepared_review_unit_hash": "201c0dc46fc5718fd7570d4f1b5812470125a6058f4bd05211a43436a14ae0b7", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1543, + "estimated_input_tokens": 386, + "estimated_eval_tokens": 1028 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1543, + "estimated_input_tokens": 386, + "estimated_eval_tokens": 1028 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both issues concern SD3 finetuning/training quality, but they describe different failure modes: one is specifically batch-size-induced destabilization during Dreambooth, the other is a general inability to finetune to better facial/hand quality. They are related, but not clearly the same underlying bug.", + "confidence": 0.68, + "canonical_issue_reason": "Issue 8619 is more specific and actionable, with a concrete trigger (high batch size) and a defined training instability symptom.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 8619 is the better canonical issue because it isolates a reproducible configuration problem rather than a broad quality complaint.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8619", + "right": "issue:8748", + "accept": false, + "reason": "Reject: both are about SD3 finetuning quality, but one targets batch-size destabilization and the other describes general poor finetuning outcomes (face/hand deformation). The underlying bug is not sufficiently specific or shared to treat them as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 100, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8933-2", + "nodes": [ + "issue:8933", + "issue:9315" + ], + "soft_pairs": [ + "issue:8933|issue:9315" + ], + "prepared_review_unit_hash": "a7ef4de9919b5a74aa9ba2428d88151140b996af64ba8d2a907454d551607cca", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1489, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1489, + "estimated_input_tokens": 373, + "estimated_eval_tokens": 1002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are both about Kolors, but they request different capabilities: LoRA training versus ControlNet/IP-Adapter FaceID support. They are not duplicates.", + "confidence": 0.89, + "canonical_issue_reason": "issue #9315 is the better representative because it is the more concrete, actionable feature request; #8933 is a much vaguer training ask.", + "canonical_pr_reason": null, + "best_issue_reason": "#9315 is the clearest issue in the set, with a specific target and broader implementation scope than the terse #8933 request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:8933", + "right": "issue:9315", + "accept": false, + "reason": "Reject: these are different Kolors feature requests. LoRA training and ControlNet/IP-Adapter FaceID support are separate capabilities and do not describe the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 101, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9076-2", + "nodes": [ + "issue:9076", + "issue:9124" + ], + "soft_pairs": [ + "issue:9076|issue:9124" + ], + "prepared_review_unit_hash": "8c1f550baf3a9d3957f6bc33a028beaae0bbc6af89530c522fbd08b799fd5c18", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1539, + "estimated_input_tokens": 385, + "estimated_eval_tokens": 1026 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1539, + "estimated_input_tokens": 385, + "estimated_eval_tokens": 1026 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are not duplicates: one is a feature request for improving `callback_on_step_end` in `FluxPipeline`, the other is a bug report that `negative_prompt` cannot be used in `FluxPipeline`. They concern different API areas and different underlying changes.", + "confidence": 0.93, + "canonical_issue_reason": "Issue 9124 is the more concrete bug report with a clear failure mode (`negative_prompt` not working in `FluxPipeline`); issue 9076 is a separate enhancement request.", + "canonical_pr_reason": null, + "best_issue_reason": "9124 is the best representative issue because it describes a specific, user-facing bug in the pipeline rather than a general API improvement request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:9076", + "right": "issue:9124", + "accept": false, + "reason": "Same subsystem, but different problems: `callback_on_step_end` customization vs `negative_prompt` support. They do not look like the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 102, + "component_count": 102, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9326-2", + "nodes": [ + "issue:9326", + "issue:9329" + ], + "soft_pairs": [ + "issue:9326|issue:9329" + ], + "prepared_review_unit_hash": "57d7d08e80dedc571190863c92186c24ce3f3d1ff88bb33dc8a261701b424325", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1522, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1522, + "estimated_input_tokens": 381, + "estimated_eval_tokens": 1018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both issues concern AnimateDiff + ControlNet pipeline behavior, but they target different adjacent workflows: VideoToVideo in #9326 and SparseControl in #9329. They look related at a high level, but not like the same underlying bug.", + "confidence": 0.89, + "canonical_issue_reason": "#9329 is the better representative issue because it is more active and its title is slightly more general within the shared AnimateDiff/ControlNet pipeline area.", + "canonical_pr_reason": null, + "best_issue_reason": "#9329 is the best single issue to surface for the cluster since it has substantially more discussion and is still open, making it the more current tracking thread.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue #9326 [Pipeline] AnimateDiff + VideoToVideo + ControlNet", + "right": "issue #9329 [Pipeline] AnimateDiff + SparseControl + ControlNet", + "accept": false, + "reason": "Reject: both mention AnimateDiff and ControlNet, but the middle component differs and likely indicates different pipeline paths (VideoToVideo vs SparseControl). No evidence they describe the same concrete bug or fixable change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10261", + "pull_request:10364", + "pull_request:10365", + "pull_request:10498", + "pull_request:10568", + "pull_request:10570", + "pull_request:11251", + "pull_request:11395", + "pull_request:11426", + "pull_request:11455", + "pull_request:11463", + "pull_request:11465", + "pull_request:11471", + "pull_request:11492", + "pull_request:12400", + "pull_request:12467", + "pull_request:12534", + "pull_request:12698", + "pull_request:12897", + "pull_request:4855", + "pull_request:4927", + "pull_request:5280", + "pull_request:5286", + "pull_request:5478", + "pull_request:5535", + "pull_request:5744", + "pull_request:5748", + "pull_request:6525", + "pull_request:6556", + "pull_request:6941", + "pull_request:7030", + "pull_request:7031", + "pull_request:7442", + "pull_request:7550", + "pull_request:8725", + "pull_request:8916", + "pull_request:8919", + "pull_request:8987", + "pull_request:9386", + "pull_request:9582", + "pull_request:9583", + "pull_request:9606", + "pull_request:9608", + "pull_request:9659", + "pull_request:9724", + "pull_request:9787", + "pull_request:9815", + "pull_request:9843" + ], + "soft_pairs": [ + "pull_request:10261|pull_request:9787", + "pull_request:8725|pull_request:9386", + "pull_request:6525|pull_request:6556", + "pull_request:11395|pull_request:11463", + "pull_request:9606|pull_request:9724", + "pull_request:11426|pull_request:11492", + "pull_request:5286|pull_request:5478", + "pull_request:10365|pull_request:10498", + "pull_request:9583|pull_request:9608", + "pull_request:5280|pull_request:5535", + "pull_request:10364|pull_request:10498", + "pull_request:7442|pull_request:7550", + "pull_request:6941|pull_request:7030", + "pull_request:6941|pull_request:7031", + "pull_request:9606|pull_request:9815", + "pull_request:11251|pull_request:12400", + "pull_request:9659|pull_request:9843", + "pull_request:12467|pull_request:12698", + "pull_request:9583|pull_request:9815", + "pull_request:11463|pull_request:11492", + "pull_request:9582|pull_request:9724", + "pull_request:4855|pull_request:4927", + "pull_request:10568|pull_request:10570", + "pull_request:11395|pull_request:11471", + "pull_request:12534|pull_request:12897", + "pull_request:11395|pull_request:11455", + "pull_request:11395|pull_request:11465", + "pull_request:5744|pull_request:5748", + "pull_request:11455|pull_request:11471", + "pull_request:11465|pull_request:11471", + "pull_request:8919|pull_request:8987", + "pull_request:8916|pull_request:8987" + ], + "prepared_review_unit_hash": "ee55a4ae50b4eb9b81be18c2ea0156c4c9d48797a30d2c9093270b241a2a62b9", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 32, + "serialized_chars": 109783, + "estimated_input_tokens": 27446, + "estimated_eval_tokens": 55148 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of separate PR families; only a few pairs look like true duplicates or near-duplicates. The clearest matches are the Flux IP-Adapter PRs and the HF token CI workflow updates; most other pairs are broad feature follow-ups or same-issue-but-different-file changes and should stay separate.", + "confidence": 0.72, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:10261 is the strongest representative: it is merged, has explicit issue links, and contains the substantive Flux IP-Adapter implementation that appears to supersede the earlier draft PR 9787 with the same files and feature scope.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:10261 is the best single anchor for the cluster because it is the most complete, high-signal feature PR with clear issue linkage and broad code coverage; the other items are either narrower follow-ups, test/doc churn, or unrelated PR families.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10261", + "right": "pull_request:9787", + "accept": true, + "reason": "Same Flux IP-Adapter feature, same core files, same issue target, and 9787 is a draft/earlier version of the same implementation." + }, + { + "left": "pull_request:8725", + "right": "pull_request:9386", + "accept": false, + "reason": "Both are PAG-related, but they implement different pipelines (SD vs inpaint) and are not the same concrete change." + }, + { + "left": "pull_request:6525", + "right": "pull_request:6556", + "accept": false, + "reason": "Same broad goal of torch.compile compatibility, but they touch different training scripts and different code paths." + }, + { + "left": "pull_request:11395", + "right": "pull_request:11463", + "accept": false, + "reason": "Same interpolation-mode issue, but different example scripts; this is a broad feature roll-out, not a duplicate PR." + }, + { + "left": "pull_request:9606", + "right": "pull_request:9724", + "accept": false, + "reason": "Both touch training_utils docstrings, but they are different docstring edits and look like separate cleanup passes." + }, + { + "left": "pull_request:11426", + "right": "pull_request:11492", + "accept": false, + "reason": "Same interpolation-mode theme, but different training scripts and distinct edits." + }, + { + "left": "pull_request:5286", + "right": "pull_request:5478", + "accept": false, + "reason": "The Japanese docs PR is a subset/prelude, while 5478 is the broader docs rollout; not the same underlying change." + }, + { + "left": "pull_request:10365", + "right": "pull_request:10498", + "accept": false, + "reason": "Both add torch_xla support, but they target different pipelines and different code paths." + }, + { + "left": "pull_request:9583", + "right": "pull_request:9608", + "accept": false, + "reason": "Different files and different docstring refactors; same cleanup theme is not enough to treat them as duplicates." + }, + { + "left": "pull_request:5280", + "right": "pull_request:5535", + "accept": true, + "reason": "Both are the same fast-test optimization in the same test file, with 5535 further tightening the same configuration; they could plausibly be merged into one change." + }, + { + "left": "pull_request:10364", + "right": "pull_request:10498", + "accept": false, + "reason": "Same torch_xla issue target, but different pipelines and separate code paths." + }, + { + "left": "pull_request:7442", + "right": "pull_request:7550", + "accept": false, + "reason": "Both reference differential diffusion, but one is a research README/pipeline package and the other is a community pipeline; not the same change." + }, + { + "left": "pull_request:6941", + "right": "pull_request:7030", + "accept": false, + "reason": "Both concern IP-Adapter support for the same pipeline, but the diffs reflect different integration steps and are not clearly the same concrete patch." + }, + { + "left": "pull_request:6941", + "right": "pull_request:7031", + "accept": false, + "reason": "Same issue area, but 7031 is a narrower follow-up around mixin/weight-loading details rather than the same exact patch." + }, + { + "left": "pull_request:9606", + "right": "pull_request:9815", + "accept": false, + "reason": "Same file and same docstring cleanup theme, but the edits are separate passes on different functions." + }, + { + "left": "pull_request:11251", + "right": "pull_request:12400", + "accept": false, + "reason": "Both address SD3 multi-controlnet support, but they fix different parts of the pipeline (init vs call-time normalization) and are not the same patch." + }, + { + "left": "pull_request:9659", + "right": "pull_request:9843", + "accept": false, + "reason": "Same SD3 LoRA testing area, but 9843 swaps test inputs/results and is a separate test update rather than the same bug fix." + }, + { + "left": "pull_request:12467", + "right": "pull_request:12698", + "accept": false, + "reason": "Both mention QwenImage batch handling, but 12698 broadens normalization across multiple pipelines and is not just the same PR in disguise." + }, + { + "left": "pull_request:9583", + "right": "pull_request:9815", + "accept": false, + "reason": "Different files and different docstring cleanup tasks; related style work does not make them duplicates." + }, + { + "left": "pull_request:11463", + "right": "pull_request:11492", + "accept": false, + "reason": "Same interpolation-mode feature request, but different scripts and different validation/error-handling details." + }, + { + "left": "pull_request:9582", + "right": "pull_request:9724", + "accept": false, + "reason": "Unrelated files and documentation changes; only the general refactor theme matches." + }, + { + "left": "pull_request:4855", + "right": "pull_request:4927", + "accept": false, + "reason": "This is a PR and its temporary revert, not two duplicate fixes." + }, + { + "left": "pull_request:10568", + "right": "pull_request:10570", + "accept": true, + "reason": "Both change the same workflow token replacement in the same file; they are effectively the same CI secret migration split across jobs." + }, + { + "left": "pull_request:11395", + "right": "pull_request:11471", + "accept": false, + "reason": "Same interpolation-mode issue, but different training scripts and different implementation surfaces." + }, + { + "left": "pull_request:12534", + "right": "pull_request:12897", + "accept": false, + "reason": "They overlap on Flux NPU position embeddings, but 12897 is a broader multi-model NPU optimization and not the same single-file fix." + }, + { + "left": "pull_request:11455", + "right": "pull_request:11471", + "accept": false, + "reason": "Same general image-interpolation change, but different training scripts and separate edits." + }, + { + "left": "pull_request:11465", + "right": "pull_request:11471", + "accept": false, + "reason": "Different training scripts; same feature request is too broad to treat as a duplicate." + }, + { + "left": "pull_request:8919", + "right": "pull_request:8987", + "accept": false, + "reason": "Both are model test coverage additions, but they target different transformer models and separate files." + }, + { + "left": "pull_request:8916", + "right": "pull_request:8987", + "accept": false, + "reason": "Different model families and different test modules; same coverage campaign is not a duplicate." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative about the many same-theme but non-duplicate PRs. The accepted soft-edge pairs are also defensible as mergeable into single bugfix/cleanup PRs: 10261/9787 is the same Flux IP-Adapter feature path, 5280/5535 is the same fast-test optimization in the same file, and 10568/10570 is the same HF token workflow migration across jobs. No clear overstatement stands out." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 2, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10259", + "pull_request:10437", + "pull_request:10508", + "pull_request:10578", + "pull_request:11271", + "pull_request:11395", + "pull_request:11421", + "pull_request:11455", + "pull_request:11465", + "pull_request:11472", + "pull_request:11491", + "pull_request:11492", + "pull_request:11578", + "pull_request:11728", + "pull_request:12451", + "pull_request:12856", + "pull_request:12857", + "pull_request:2602", + "pull_request:3633", + "pull_request:4536", + "pull_request:456", + "pull_request:4910", + "pull_request:533", + "pull_request:6332", + "pull_request:6525", + "pull_request:6558", + "pull_request:6576", + "pull_request:6577", + "pull_request:7113", + "pull_request:7117", + "pull_request:7797", + "pull_request:7803", + "pull_request:7804", + "pull_request:7833", + "pull_request:7846", + "pull_request:7898", + "pull_request:8239", + "pull_request:8630", + "pull_request:8755", + "pull_request:9300", + "pull_request:9346", + "pull_request:9579", + "pull_request:9591", + "pull_request:9682", + "pull_request:9706", + "pull_request:9817", + "pull_request:9896" + ], + "soft_pairs": [ + "pull_request:11395|pull_request:11472", + "pull_request:11455|pull_request:11491", + "pull_request:11465|pull_request:11491", + "pull_request:11455|pull_request:11472", + "pull_request:11465|pull_request:11472", + "pull_request:9579|pull_request:9591", + "pull_request:6525|pull_request:6558", + "pull_request:6525|pull_request:6576", + "pull_request:6332|pull_request:8239", + "pull_request:8630|pull_request:8755", + "pull_request:11271|pull_request:11578", + "pull_request:9817|pull_request:9896", + "pull_request:7113|pull_request:7117", + "pull_request:4536|pull_request:4910", + "pull_request:12856|pull_request:12857", + "pull_request:9579|pull_request:9706", + "pull_request:10259|pull_request:10578", + "pull_request:456|pull_request:533", + "pull_request:8755|pull_request:9682", + "pull_request:11728|pull_request:12451", + "pull_request:6525|pull_request:6577", + "pull_request:7797|pull_request:7898", + "pull_request:7803|pull_request:7898", + "pull_request:7804|pull_request:7898", + "pull_request:7833|pull_request:7898", + "pull_request:7846|pull_request:7898", + "pull_request:10437|pull_request:10508", + "pull_request:11421|pull_request:11492", + "pull_request:2602|pull_request:3633", + "pull_request:9300|pull_request:9346" + ], + "prepared_review_unit_hash": "ba872b79af7bdd971fb6ac024626d3109b14d46d28da9bb147bdd384988daff0", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 30, + "serialized_chars": 100186, + "estimated_input_tokens": 25047, + "estimated_eval_tokens": 50350 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These PRs are only loosely related by broad theme (training-script tweaks, docs, tests, loaders, and feature additions). None of the soft pairs look like the same concrete change or bug fix, so I would not collapse any of them as duplicates.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:11395", + "right": "pull_request:11472", + "accept": false, + "reason": "Both add an image interpolation option, but they target different training scripts and are separate code paths, so they are not the same PR-worthy change." + }, + { + "left": "pull_request:11455", + "right": "pull_request:11491", + "accept": false, + "reason": "Same general interpolation idea, but one is SDXL text-to-image and the other is Lumina2 DreamBooth LoRA; different entrypoints and changes." + }, + { + "left": "pull_request:11465", + "right": "pull_request:11491", + "accept": false, + "reason": "Both touch interpolation defaults, but they apply to different scripts and one is unreleased; not the same concrete fix." + }, + { + "left": "pull_request:11455", + "right": "pull_request:11472", + "accept": false, + "reason": "Related only by adding a resize-mode option; these are distinct training scripts and not mergeable as one duplicate change." + }, + { + "left": "pull_request:11465", + "right": "pull_request:11472", + "accept": false, + "reason": "Different training scripts with similar parameter additions; too broad to be the same underlying change." + }, + { + "left": "pull_request:9579", + "right": "pull_request:9591", + "accept": false, + "reason": "Both are documentation cleanups, but they update different files and address different docs content, not one bug or feature." + }, + { + "left": "pull_request:6525", + "right": "pull_request:6558", + "accept": false, + "reason": "Both are torch.compile-related training-script fixes, but they affect different example scripts and save paths." + }, + { + "left": "pull_request:6525", + "right": "pull_request:6576", + "accept": false, + "reason": "Same broad torch.compile compatibility theme, but different training scripts and code paths." + }, + { + "left": "pull_request:6332", + "right": "pull_request:8239", + "accept": false, + "reason": "Both touch community README content, but they are unrelated community pipeline additions for different methods." + }, + { + "left": "pull_request:8630", + "right": "pull_request:8755", + "accept": false, + "reason": "Same SD3 DreamBooth LoRA script, but one adds text-encoder training and the other fixes a later bug in prompt/encoder handling; different changes." + }, + { + "left": "pull_request:11271", + "right": "pull_request:11578", + "accept": false, + "reason": "Both modify single-file LTX video support, but they target different model versions and loading branches." + }, + { + "left": "pull_request:9817", + "right": "pull_request:9896", + "accept": false, + "reason": "A PR and its revert are opposites, not duplicate implementations of the same change to keep." + }, + { + "left": "pull_request:7113", + "right": "pull_request:7117", + "accept": false, + "reason": "Both add Slack notifications, but one is for Docker image builds and the other for nightly tests; separate workflows." + }, + { + "left": "pull_request:4536", + "right": "pull_request:4910", + "accept": false, + "reason": "Both concern inpainting docs, but one adds a new example and the other fixes a typo in that example; not the same change." + }, + { + "left": "pull_request:12856", + "right": "pull_request:12857", + "accept": false, + "reason": "One is mostly docs/API generation and the other is the actual z-image-omni implementation; related feature area, but not the same concrete change." + }, + { + "left": "pull_request:9579", + "right": "pull_request:9706", + "accept": false, + "reason": "Both are documentation edits, but they cover different model/doc pages and do not represent one duplicate fix." + }, + { + "left": "pull_request:10259", + "right": "pull_request:10578", + "accept": false, + "reason": "Both touch lora_pipeline.py, but one adds Flux-LoRA loading for control/fill and the other adds 4-bit quantized Flux support; different bugs/features." + }, + { + "left": "pull_request:456", + "right": "pull_request:533", + "accept": false, + "reason": "The second is a revert of the first, so they are not duplicate attempts at the same stable change." + }, + { + "left": "pull_request:8755", + "right": "pull_request:9682", + "accept": false, + "reason": "Both are SD3 DreamBooth LoRA updates, but they solve different issues: a text-encoder-training bug fix versus broader training updates/tests." + }, + { + "left": "pull_request:11728", + "right": "pull_request:12451", + "accept": false, + "reason": "Both edit the doc-builder Dockerfile, but they add different packages/apt tools for different purposes." + }, + { + "left": "pull_request:6525", + "right": "pull_request:6577", + "accept": false, + "reason": "Same compile-compatibility theme, but for different example scripts and different model classes." + }, + { + "left": "pull_request:7797", + "right": "pull_request:7898", + "accept": false, + "reason": "Both reduce fast-test model sizes, but they target different pipelines and are separate test refactors." + }, + { + "left": "pull_request:7803", + "right": "pull_request:7898", + "accept": false, + "reason": "Different pipeline tests with unrelated dummy-model reductions; not the same underlying fix." + }, + { + "left": "pull_request:7804", + "right": "pull_request:7898", + "accept": false, + "reason": "Both are test-size reductions, but for different Amused vs DiT test files and not one duplicated change." + }, + { + "left": "pull_request:7833", + "right": "pull_request:7898", + "accept": false, + "reason": "Same general test-speed goal, but different pipelines and model setups; not a single concrete bug fix." + }, + { + "left": "pull_request:7846", + "right": "pull_request:7898", + "accept": false, + "reason": "Different audio vs DiT test fixtures; similar maintenance theme, not duplicate code." + }, + { + "left": "pull_request:10437", + "right": "pull_request:10508", + "accept": false, + "reason": "Both make tests device-agnostic, but they touch different test suites and fix different accelerator handling gaps." + }, + { + "left": "pull_request:11421", + "right": "pull_request:11492", + "accept": false, + "reason": "Same interpolation-default theme, but different DreamBooth scripts and separate code paths." + }, + { + "left": "pull_request:2602", + "right": "pull_request:3633", + "accept": false, + "reason": "Both pin huggingface-hub in setup.py, but they are different release-test pins at different versions and times." + }, + { + "left": "pull_request:9300", + "right": "pull_request:9346", + "accept": false, + "reason": "Both are CI/test fixes, but they patch different model/test behaviors and are not one merged code change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 3, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10318", + "pull_request:10378", + "pull_request:11395", + "pull_request:11421", + "pull_request:11449", + "pull_request:11471", + "pull_request:11472", + "pull_request:11490", + "pull_request:11491", + "pull_request:11492", + "pull_request:11737", + "pull_request:1488", + "pull_request:3642", + "pull_request:4155", + "pull_request:4188", + "pull_request:4216", + "pull_request:5027", + "pull_request:5407", + "pull_request:5674", + "pull_request:5720", + "pull_request:6035", + "pull_request:6171", + "pull_request:6380", + "pull_request:643", + "pull_request:644", + "pull_request:645", + "pull_request:7233", + "pull_request:7679", + "pull_request:7697", + "pull_request:7797", + "pull_request:7803", + "pull_request:7804", + "pull_request:7833", + "pull_request:7846", + "pull_request:7865", + "pull_request:8675", + "pull_request:9257", + "pull_request:9300", + "pull_request:9353", + "pull_request:9355", + "pull_request:942", + "pull_request:9592", + "pull_request:9598", + "pull_request:9646", + "pull_request:9682", + "pull_request:9714", + "pull_request:9715" + ], + "soft_pairs": [ + "pull_request:9353|pull_request:9598", + "pull_request:5674|pull_request:5720", + "pull_request:7797|pull_request:7865", + "pull_request:7803|pull_request:7865", + "pull_request:7804|pull_request:7865", + "pull_request:7833|pull_request:7865", + "pull_request:7846|pull_request:7865", + "pull_request:11421|pull_request:11449", + "pull_request:11421|pull_request:11491", + "pull_request:9592|pull_request:9714", + "pull_request:3642|pull_request:4216", + "pull_request:9257|pull_request:9646", + "pull_request:643|pull_request:644", + "pull_request:9592|pull_request:9715", + "pull_request:643|pull_request:645", + "pull_request:11472|pull_request:11492", + "pull_request:11395|pull_request:11449", + "pull_request:9646|pull_request:9682", + "pull_request:10318|pull_request:9598", + "pull_request:5027|pull_request:5407", + "pull_request:11471|pull_request:11490", + "pull_request:7679|pull_request:7697", + "pull_request:6035|pull_request:6171", + "pull_request:9300|pull_request:9355", + "pull_request:10378|pull_request:11737", + "pull_request:1488|pull_request:942", + "pull_request:6380|pull_request:8675", + "pull_request:4155|pull_request:4188", + "pull_request:6035|pull_request:7233" + ], + "prepared_review_unit_hash": "00ed665516f2d55fc5d317ed0c22ba7c812c9cd0e4fd2a4b82d7d8b9edcd293a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 29, + "serialized_chars": 98237, + "estimated_input_tokens": 24560, + "estimated_eval_tokens": 49376 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items split into unrelated change families: docs cleanup, fast-test reductions, interpolation defaults across different scripts, and a few platform/dtype fixes. The only clear duplicate-like family is the textual-inversion checkpoint-saving work; the mixed-precision unconditional-generation pair should not be merged as the same fix based on the diff evidence.", + "confidence": 0.68, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR cleanly spans the whole cluster because the items are mostly unrelated families.", + "best_issue_reason": null, + "best_pr_reason": "PR 645 is the strongest representative of the textual-inversion checkpoint-saving family: it is the merged, concrete implementation rather than an earlier WIP variant.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9353", + "right": "pull_request:9598", + "accept": false, + "reason": "Same file, but different changes: one adds Flux LoRA integration tests, the other only adds a version note to the test class." + }, + { + "left": "pull_request:5674", + "right": "pull_request:5720", + "accept": false, + "reason": "Both are docs cleanup, but they touch different doc sections/files and are separate typo/update passes." + }, + { + "left": "pull_request:7797", + "right": "pull_request:7865", + "accept": false, + "reason": "Both reduce test model size, but for different pipelines and different code paths." + }, + { + "left": "pull_request:7803", + "right": "pull_request:7865", + "accept": false, + "reason": "Different test targets and pipelines; only a broad test-speed theme is shared." + }, + { + "left": "pull_request:7804", + "right": "pull_request:7865", + "accept": false, + "reason": "Amused fast-test downsizing and Dance Diffusion downsizing are separate test-only changes." + }, + { + "left": "pull_request:7833", + "right": "pull_request:7865", + "accept": false, + "reason": "AudioLDM fast-test reduction is unrelated to Dance Diffusion beyond both being test simplifications." + }, + { + "left": "pull_request:7846", + "right": "pull_request:7865", + "accept": false, + "reason": "AudioLDM2 fast-test reduction is a separate test-only change, not the same bug or patch." + }, + { + "left": "pull_request:11421", + "right": "pull_request:11449", + "accept": false, + "reason": "Same interpolation theme, but they modify different training scripts and different concrete code paths." + }, + { + "left": "pull_request:11421", + "right": "pull_request:11491", + "accept": false, + "reason": "Both add image interpolation options, but to different scripts; not one shared fix." + }, + { + "left": "pull_request:9592", + "right": "pull_request:9714", + "accept": false, + "reason": "Docstring refactoring in different files; not the same change." + }, + { + "left": "pull_request:3642", + "right": "pull_request:4216", + "accept": false, + "reason": "Same community inpaint file, but one adds the pipeline and the other changes strength/timestep handling." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9646", + "accept": false, + "reason": "Both touch DreamBooth Flux training, but one fixes prompt/tokenization behavior and the other adds configurable LoRA target modules plus a separate bug fix." + }, + { + "left": "pull_request:643", + "right": "pull_request:644", + "accept": true, + "reason": "These are effectively the same textual-inversion checkpoint-saving feature: same script, same save-progress idea, and both target issue 524 as WIP variants." + }, + { + "left": "pull_request:9592", + "right": "pull_request:9715", + "accept": false, + "reason": "Both are docstring refactors, but they are in different files and are separate documentation edits." + }, + { + "left": "pull_request:643", + "right": "pull_request:645", + "accept": false, + "reason": "643 is a WIP checkpoint-saving attempt, while 645 is the later merged implementation; related, but not the same PR-level change." + }, + { + "left": "pull_request:11472", + "right": "pull_request:11492", + "accept": false, + "reason": "Both add lanczos interpolation to advanced DreamBooth scripts, but they are different model/training variants and separate patches." + }, + { + "left": "pull_request:11395", + "right": "pull_request:11449", + "accept": false, + "reason": "Same interpolation/default-resizing theme, but different training scripts and different concrete code paths." + }, + { + "left": "pull_request:9646", + "right": "pull_request:9682", + "accept": false, + "reason": "DreamBooth Flux LoRA configuration changes are unrelated to SD3 DreamBooth-LoRA bug fixes." + }, + { + "left": "pull_request:10318", + "right": "pull_request:9598", + "accept": false, + "reason": "Integration-test additions vs a class-level version note are different test-only changes." + }, + { + "left": "pull_request:5027", + "right": "pull_request:5407", + "accept": false, + "reason": "The shared mixed-precision theme is too broad; the diffs show different code changes in the same file, not one concrete bugfix." + }, + { + "left": "pull_request:11471", + "right": "pull_request:11490", + "accept": false, + "reason": "Both add lanczos interpolation defaults, but in different scripts and different code paths." + }, + { + "left": "pull_request:7679", + "right": "pull_request:7697", + "accept": false, + "reason": "Both mention PEFT/UV installation, but they change different workflows and are not the same fix." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6171", + "accept": false, + "reason": "Same file family, but help-tag cleanup is not the same change as adding the validation/inference behavior update." + }, + { + "left": "pull_request:6380", + "right": "pull_request:8675", + "accept": false, + "reason": "Both edit the fast-diffusion docs, but the content changes are distinct and unrelated." + }, + { + "left": "pull_request:9300", + "right": "pull_request:9355", + "accept": false, + "reason": "One is a broad fast-GPU test fix set; the other only adds workflow_dispatch to the push-tests workflow." + }, + { + "left": "pull_request:10378", + "right": "pull_request:11737", + "accept": false, + "reason": "Both are training-script changes, but for different models and different save/model-hook behavior." + }, + { + "left": "pull_request:1488", + "right": "pull_request:942", + "accept": false, + "reason": "Both are MPS dtype fixes, but they hit different code paths and different dtype issues." + }, + { + "left": "pull_request:6380", + "right": "pull_request:8675", + "accept": false, + "reason": "Different docs additions in the same tutorial, but not the same content change." + }, + { + "left": "pull_request:4155", + "right": "pull_request:4188", + "accept": false, + "reason": "Different SDXL ControlNet-related changes: one is a pipeline follow-up fix, the other is dataset fingerprint/caching in training." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7233", + "accept": false, + "reason": "Same advanced SDXL DreamBooth-LoRA script family, but help text cleanup is not the same change as adding DoRA support." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is mostly grounded, but one soft-edge acceptance looks too strong for the evidence in the packet: pull_request:5027 vs pull_request:5407. They share a broad mixed-precision theme and the same file, but the diffs shown point to different code changes, so treating them as the same bugfix family is not conservative enough. The textual-inversion pair (643/644) and the 643/645 rejection are more defensible." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 4, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10288", + "pull_request:10318", + "pull_request:10921", + "pull_request:10922", + "pull_request:10991", + "pull_request:11025", + "pull_request:11449", + "pull_request:11455", + "pull_request:11463", + "pull_request:11465", + "pull_request:11471", + "pull_request:11588", + "pull_request:11670", + "pull_request:11776", + "pull_request:12086", + "pull_request:12269", + "pull_request:2677", + "pull_request:2734", + "pull_request:3169", + "pull_request:3419", + "pull_request:3472", + "pull_request:3642", + "pull_request:377", + "pull_request:388", + "pull_request:5720", + "pull_request:5744", + "pull_request:6021", + "pull_request:6035", + "pull_request:6464", + "pull_request:6550", + "pull_request:6555", + "pull_request:6599", + "pull_request:676", + "pull_request:677", + "pull_request:7182", + "pull_request:7235", + "pull_request:8230", + "pull_request:8773", + "pull_request:8774", + "pull_request:8775", + "pull_request:8976", + "pull_request:8986", + "pull_request:9005", + "pull_request:9207", + "pull_request:9353", + "pull_request:9593", + "pull_request:9707", + "pull_request:9775" + ], + "soft_pairs": [ + "pull_request:8773|pull_request:8774", + "pull_request:10318|pull_request:9353", + "pull_request:6035|pull_request:7235", + "pull_request:11670|pull_request:11776", + "pull_request:8774|pull_request:8976", + "pull_request:6464|pull_request:6599", + "pull_request:11449|pull_request:11455", + "pull_request:11449|pull_request:11465", + "pull_request:3419|pull_request:3642", + "pull_request:5720|pull_request:5744", + "pull_request:11025|pull_request:11588", + "pull_request:12086|pull_request:12269", + "pull_request:10288|pull_request:10991", + "pull_request:11463|pull_request:11471", + "pull_request:2677|pull_request:3472", + "pull_request:2734|pull_request:3169", + "pull_request:377|pull_request:388", + "pull_request:6021|pull_request:7182", + "pull_request:8230|pull_request:9207", + "pull_request:8775|pull_request:9775", + "pull_request:8986|pull_request:9005", + "pull_request:9593|pull_request:9707", + "pull_request:10921|pull_request:10922", + "pull_request:676|pull_request:677", + "pull_request:6550|pull_request:6555" + ], + "prepared_review_unit_hash": "2672dc6f0a41dca0e995494859a1c64e75991e9e1aef54bf9f48820bc3cd41dd", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 110163, + "estimated_input_tokens": 27541, + "estimated_eval_tokens": 55338 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly thematically related but not duplicate: Wan/Flux/LoRA/docs/CI changes are separate concrete PRs, and the close pairs are usually follow-ups, reverts, or same-area enhancements rather than the same mergeable change. I found no soft-edge pair that should be accepted as a duplicate; the strongest canonical PR candidate is the merged Wan follow-up #10922.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "#10922 is the most complete, merged implementation in the set: it continues #10921, adds the main Wan docs/code/tests, and represents the finished feature rather than a partial or orthogonal change.", + "best_issue_reason": null, + "best_pr_reason": "#10922 is the best overall representative PR here because it is feature-complete, merged, well-reviewed, and materially broader than the other candidates in the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8773", + "right": "pull_request:8774", + "accept": false, + "reason": "Same topic but opposite changes: one introduces LoraBaseMixin, the other reverts it. Not the same underlying change." + }, + { + "left": "pull_request:10318", + "right": "pull_request:9353", + "accept": false, + "reason": "Both add Flux LoRA tests, but they cover different test cases and behaviors; not a single duplicate change." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7235", + "accept": false, + "reason": "Different features in the same script: help text cleanup vs adding DoRA training support." + }, + { + "left": "pull_request:11670", + "right": "pull_request:11776", + "accept": false, + "reason": "Both are torch.compile-related tests, but one targets group offloading and the other varied resolutions; different concrete issues." + }, + { + "left": "pull_request:8774", + "right": "pull_request:8976", + "accept": false, + "reason": "8976 is a revert of 8774, not a duplicate of the same change." + }, + { + "left": "pull_request:6464", + "right": "pull_request:6599", + "accept": false, + "reason": "Both touch the same advanced SDXL LoRA script, but they fix different bugs and code paths." + }, + { + "left": "pull_request:11449", + "right": "pull_request:11455", + "accept": false, + "reason": "Different training scripts; both change interpolation defaults, but they are separate PRs for separate code paths." + }, + { + "left": "pull_request:11449", + "right": "pull_request:11465", + "accept": false, + "reason": "Same interpolation theme, but controlnet training vs text-to-image LoRA training are different changes." + }, + { + "left": "pull_request:3419", + "right": "pull_request:3642", + "accept": false, + "reason": "Both edit the community README, but they add different TensorRT pipeline entries." + }, + { + "left": "pull_request:5720", + "right": "pull_request:5744", + "accept": false, + "reason": "Both are docs cleanup PRs, but they affect different documentation pages and content." + }, + { + "left": "pull_request:11025", + "right": "pull_request:11588", + "accept": false, + "reason": "Both concern Wan LoRA support, but one converts non-diffusers Wan LoRAs and the other expands T2V LoRAs for I2V; distinct fixes." + }, + { + "left": "pull_request:12086", + "right": "pull_request:12269", + "accept": false, + "reason": "Same modular Flux area, but one adds I2I support while the other adds Flux Kontext support; not the same concrete change." + }, + { + "left": "pull_request:10288", + "right": "pull_request:10991", + "accept": false, + "reason": "Both add single-file support, but for different model families and loaders (Flux vs Wan)." + }, + { + "left": "pull_request:11463", + "right": "pull_request:11471", + "accept": false, + "reason": "Same interpolation-default idea, but applied to different scripts and training flows." + }, + { + "left": "pull_request:2677", + "right": "pull_request:3472", + "accept": false, + "reason": "Both are docs additions, but for different training topics (ControlNet vs IF Dreambooth)." + }, + { + "left": "pull_request:2734", + "right": "pull_request:3169", + "accept": false, + "reason": "Both update Habana docs, but they make different edits and are not the same change." + }, + { + "left": "pull_request:377", + "right": "pull_request:388", + "accept": false, + "reason": "Different pipeline docs and code: Latent Diffusion vs Unconditional Latent Diffusion." + }, + { + "left": "pull_request:6021", + "right": "pull_request:7182", + "accept": false, + "reason": "Different SDXL DreamBooth enhancements: variant plumbing vs EDM-style training support." + }, + { + "left": "pull_request:8230", + "right": "pull_request:9207", + "accept": false, + "reason": "Both discuss CPU offloading usage, but they target different docs/examples/code areas and are not the same fix." + }, + { + "left": "pull_request:8775", + "right": "pull_request:9775", + "accept": false, + "reason": "Unrelated README/doc updates: Colab link vs NF5/T5-xxl note." + }, + { + "left": "pull_request:8986", + "right": "pull_request:9005", + "accept": false, + "reason": "Both touch nightly test runner config, but 9005 is a broader multi-workflow runner update rather than the same change as 8986." + }, + { + "left": "pull_request:9593", + "right": "pull_request:9707", + "accept": false, + "reason": "Both are docstring cleanups, but for different files and classes." + }, + { + "left": "pull_request:10921", + "right": "pull_request:10922", + "accept": false, + "reason": "10922 is a follow-up continuation of 10921, not a duplicate of the same change." + }, + { + "left": "pull_request:676", + "right": "pull_request:677", + "accept": false, + "reason": "Same file refactor, but different functions and different renaming scopes; not the same underlying change." + }, + { + "left": "pull_request:6550", + "right": "pull_request:6555", + "accept": false, + "reason": "Both are torch.compile-related training script fixes, but they target different scripts and compatibility issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 5, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10288", + "pull_request:10298", + "pull_request:10437", + "pull_request:10508", + "pull_request:10781", + "pull_request:11058", + "pull_request:11516", + "pull_request:12095", + "pull_request:12170", + "pull_request:12236", + "pull_request:12272", + "pull_request:12439", + "pull_request:12566", + "pull_request:12790", + "pull_request:1846", + "pull_request:1927", + "pull_request:2479", + "pull_request:2487", + "pull_request:2588", + "pull_request:2677", + "pull_request:3297", + "pull_request:3707", + "pull_request:3711", + "pull_request:3979", + "pull_request:4188", + "pull_request:4223", + "pull_request:4237", + "pull_request:4238", + "pull_request:424", + "pull_request:4481", + "pull_request:4946", + "pull_request:509", + "pull_request:5097", + "pull_request:5172", + "pull_request:5914", + "pull_request:5979", + "pull_request:6021", + "pull_request:6035", + "pull_request:6528", + "pull_request:6566", + "pull_request:6884", + "pull_request:7166", + "pull_request:7182", + "pull_request:7189", + "pull_request:7413", + "pull_request:8926", + "pull_request:9083", + "pull_request:9400" + ], + "soft_pairs": [ + "pull_request:10508|pull_request:11058", + "pull_request:2479|pull_request:2588", + "pull_request:424|pull_request:509", + "pull_request:6884|pull_request:7189", + "pull_request:11516|pull_request:12095", + "pull_request:2677|pull_request:4946", + "pull_request:3979|pull_request:5914", + "pull_request:4481|pull_request:5979", + "pull_request:5097|pull_request:5172", + "pull_request:10437|pull_request:9400", + "pull_request:4188|pull_request:4223", + "pull_request:6035|pull_request:7182", + "pull_request:12170|pull_request:12790", + "pull_request:3707|pull_request:3711", + "pull_request:4237|pull_request:4238", + "pull_request:6021|pull_request:6035", + "pull_request:12236|pull_request:12439", + "pull_request:1846|pull_request:3297", + "pull_request:10288|pull_request:10781", + "pull_request:1927|pull_request:2487", + "pull_request:6035|pull_request:6566", + "pull_request:6528|pull_request:7413", + "pull_request:7166|pull_request:8926", + "pull_request:10298|pull_request:9083", + "pull_request:12272|pull_request:12566", + "pull_request:5914|pull_request:6035" + ], + "prepared_review_unit_hash": "8a3be2f0b8e8f3ce28e97bde7978487d8b746f2f97bddf0fafc8c5ccee72e730", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 110535, + "estimated_input_tokens": 27634, + "estimated_eval_tokens": 55524 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set does not form a single duplicate cluster; it\u2019s a collection of unrelated PRs across docs, tests, model support, and bug fixes. The soft-edge pairs are mostly broad topical neighbors, but not the same underlying change or bug, so I reject them all.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:10508", + "right": "pull_request:11058", + "accept": false, + "reason": "Both touch test device-agnosticism, but they fix different test infra problems in different files and stages of the rollout; not the same bug/change." + }, + { + "left": "pull_request:2479", + "right": "pull_request:2588", + "accept": false, + "reason": "Both mention LoRA text encoder support, but one is a training-script feature and the other is a research-project README/script; they are not the same code-path change." + }, + { + "left": "pull_request:424", + "right": "pull_request:509", + "accept": false, + "reason": "Both are about image-based SD tests, but one fixes reproducibility/dataset selection while the other adds a load_image utility and test plumbing. Different fixes." + }, + { + "left": "pull_request:6884", + "right": "pull_request:7189", + "accept": false, + "reason": "IP-Adapter scale validation and plus-embed handling are separate bugs in different paths; same subsystem, not the same issue." + }, + { + "left": "pull_request:11516", + "right": "pull_request:12095", + "accept": false, + "reason": "Both are LTX Video work, but 0.9.7 support and 0.9.8 infinite/tone-mapping changes are distinct model/version additions." + }, + { + "left": "pull_request:2677", + "right": "pull_request:4946", + "accept": false, + "reason": "Both add docs entries, but they cover different training examples (ControlNet vs T2I-Adapter)." + }, + { + "left": "pull_request:3979", + "right": "pull_request:5914", + "accept": false, + "reason": "Unrelated fixes: one is an SDXL attention/type bug, the other is a DreamBooth README/template cleanup." + }, + { + "left": "pull_request:4481", + "right": "pull_request:5979", + "accept": false, + "reason": "Different model families entirely (EDM vs DDGAN); not mergeable as one PR and not the same change." + }, + { + "left": "pull_request:5097", + "right": "pull_request:5172", + "accept": false, + "reason": "Both adjust test tolerances/randomness, but they address different test failures and code paths; too broad to treat as duplicates." + }, + { + "left": "pull_request:10437", + "right": "pull_request:9400", + "accept": false, + "reason": "Both are device-agnostic test updates, but they cover different test suites and offload/device behaviors." + }, + { + "left": "pull_request:4188", + "right": "pull_request:4223", + "accept": false, + "reason": "Same training script, but one fixes dataset fingerprinting/caching and the other fixes SDXL ControlNet inference call details; separate bugs." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7182", + "accept": false, + "reason": "Both touch the advanced DreamBooth LoRA README/script, but one improves help text and the other adds EDM-style training support; different changes." + }, + { + "left": "pull_request:12170", + "right": "pull_request:12790", + "accept": false, + "reason": "Both are LoRA conversion utilities, but they target different community model formats (Qwen vs ZImage) and different key-normalization problems." + }, + { + "left": "pull_request:3707", + "right": "pull_request:3711", + "accept": false, + "reason": "3711 is a revert of 3707, not the same underlying bug/change." + }, + { + "left": "pull_request:4237", + "right": "pull_request:4238", + "accept": false, + "reason": "Both are SDXL ControlNet-related, but one fixes prompt embedding dtype while the other fixes model offload ordering; separate issues." + }, + { + "left": "pull_request:6021", + "right": "pull_request:6035", + "accept": false, + "reason": "One adds a variant argument, the other improves help text; same file but different concerns and not the same change." + }, + { + "left": "pull_request:12236", + "right": "pull_request:12439", + "accept": false, + "reason": "Related attention-backend work, but one adds hub FlashAttention support and the other wires sage attention/FA2 through kernels; distinct implementations." + }, + { + "left": "pull_request:1846", + "right": "pull_request:3297", + "accept": false, + "reason": "Both are RDM projects, but the first is a WIP core retriever/RDM effort and the second is a separate research-project example implementation; not the same code-path change." + }, + { + "left": "pull_request:1927", + "right": "pull_request:2487", + "accept": false, + "reason": "Both are docs additions, but for unrelated guides (Stable Diffusion guide vs JAX/Flax guide)." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6566", + "accept": false, + "reason": "Same advanced DreamBooth LoRA script, but one is documentation/help text and the other is resume-training logic; not duplicates." + }, + { + "left": "pull_request:6528", + "right": "pull_request:7413", + "accept": false, + "reason": "Both involve IP-Adapter-like logic, but they fix different pipelines and different embedding handling paths." + }, + { + "left": "pull_request:7166", + "right": "pull_request:8926", + "accept": false, + "reason": "Different DreamBooth SDXL issues: one fixes loading text-encoder weights, the other fixes checkpoint saving." + }, + { + "left": "pull_request:10298", + "right": "pull_request:9083", + "accept": false, + "reason": "Both add single-file support, but for different models (LTX GGUF vs Flux transformer) and different loaders." + }, + { + "left": "pull_request:12272", + "right": "pull_request:12566", + "accept": false, + "reason": "Both touch modular Flux pipelines, but one fixes height/width propagation and the other adds tests/memory-info handling; separate changes." + }, + { + "left": "pull_request:5914", + "right": "pull_request:6035", + "accept": false, + "reason": "Both are lightweight DreamBooth SDXL docs/script tweaks, but they address different text and different purposes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 6, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10179", + "pull_request:10199", + "pull_request:10298", + "pull_request:10437", + "pull_request:10508", + "pull_request:10570", + "pull_request:10985", + "pull_request:11292", + "pull_request:1194", + "pull_request:12737", + "pull_request:12909", + "pull_request:1307", + "pull_request:3633", + "pull_request:3795", + "pull_request:3979", + "pull_request:4607", + "pull_request:5052", + "pull_request:5175", + "pull_request:5506", + "pull_request:5508", + "pull_request:5608", + "pull_request:5906", + "pull_request:6021", + "pull_request:6119", + "pull_request:6279", + "pull_request:6402", + "pull_request:6511", + "pull_request:6523", + "pull_request:6526", + "pull_request:6556", + "pull_request:6588", + "pull_request:6589", + "pull_request:6757", + "pull_request:6795", + "pull_request:6816", + "pull_request:6848", + "pull_request:7018", + "pull_request:7124", + "pull_request:7235", + "pull_request:7258", + "pull_request:8819", + "pull_request:9255", + "pull_request:9355", + "pull_request:9400", + "pull_request:9401", + "pull_request:9593", + "pull_request:9714", + "pull_request:9715" + ], + "soft_pairs": [ + "pull_request:6119|pull_request:7018", + "pull_request:10985|pull_request:11292", + "pull_request:10179|pull_request:10199", + "pull_request:10570|pull_request:9255", + "pull_request:1194|pull_request:1307", + "pull_request:3633|pull_request:5175", + "pull_request:3979|pull_request:5906", + "pull_request:5052|pull_request:6556", + "pull_request:6523|pull_request:6848", + "pull_request:6526|pull_request:6589", + "pull_request:9593|pull_request:9714", + "pull_request:6119|pull_request:6402", + "pull_request:6511|pull_request:6526", + "pull_request:12737|pull_request:12909", + "pull_request:9593|pull_request:9715", + "pull_request:10437|pull_request:9401", + "pull_request:10508|pull_request:9400", + "pull_request:10570|pull_request:9355", + "pull_request:3795|pull_request:4607", + "pull_request:6021|pull_request:6795", + "pull_request:6279|pull_request:6523", + "pull_request:6588|pull_request:6757", + "pull_request:7124|pull_request:7258", + "pull_request:9400|pull_request:9401", + "pull_request:5506|pull_request:5608", + "pull_request:6816|pull_request:7235", + "pull_request:5508|pull_request:6021", + "pull_request:10298|pull_request:8819" + ], + "prepared_review_unit_hash": "598ad5a08d02bef328e9b8ededf141a3de6573489ee4a12c49f97b6a317de080", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 100842, + "estimated_input_tokens": 25211, + "estimated_eval_tokens": 50678 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The packet is mostly a grab bag of unrelated PRs. The only plausible duplicate-like pair is the auraflow docstring refactor family (9714/9715), but the provided soft-edge pairs all cross to unrelated PRs like 9593, so every soft edge should be rejected.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9715 is the best cluster representative because it is the clearest auraflow docstring-refactor candidate and appears to be the same change family as 9714; the rest of the packet is unrelated.", + "best_issue_reason": null, + "best_pr_reason": "PR 9715 is the strongest global PR choice for the same reason: it is the only item that looks like part of a true duplicate pair, while the other PRs are mostly unrelated fixes, tests, or docs churn.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6119", + "right": "pull_request:7018", + "accept": false, + "reason": "Both are training-script fixes, but they address different bugs: fp16 gradient unscaling vs. LoRA/PEFT state-dict handling." + }, + { + "left": "pull_request:10985", + "right": "pull_request:11292", + "accept": false, + "reason": "Same LoRA utility file, but different changes: ComfyUI/Flux LoRA support vs. filtering mixed SGM/SDXL keys." + }, + { + "left": "pull_request:10179", + "right": "pull_request:10199", + "accept": false, + "reason": "Same community example, but one is doc/example cleanup and the other adds eta decay behavior; not the same bug or change." + }, + { + "left": "pull_request:10570", + "right": "pull_request:9255", + "accept": false, + "reason": "Both touch push_tests.yml, but one rotates the HF token secret while the other changes workflow triggers/job naming." + }, + { + "left": "pull_request:1194", + "right": "pull_request:1307", + "accept": false, + "reason": "These are opposite directions on the same docs workflow change; one updates actions, the other reverts it." + }, + { + "left": "pull_request:3633", + "right": "pull_request:5175", + "accept": false, + "reason": "One pins huggingface-hub in setup.py; the other adds HF_HOME to CI. Different experiments, not duplicates." + }, + { + "left": "pull_request:3979", + "right": "pull_request:5906", + "accept": false, + "reason": "One is an SDXL pipeline bug fix, the other is a DreamBooth README/template tweak; unrelated changes." + }, + { + "left": "pull_request:5052", + "right": "pull_request:6556", + "accept": false, + "reason": "Different training scripts and goals: Wuerstchen text-to-image training vs. SDXL LoRA torch.compile compatibility." + }, + { + "left": "pull_request:6523", + "right": "pull_request:6848", + "accept": false, + "reason": "Both are LCM distillation-related, but they fix different initialization problems in different spots of the scripts." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6589", + "accept": false, + "reason": "Both are compile-compatibility fixes, but for different scripts and hook logic; not one concrete code-path bug." + }, + { + "left": "pull_request:9593", + "right": "pull_request:9714", + "accept": false, + "reason": "Factual mismatch: 9593 is a docstring refactor in examples/community/hd_painter.py, while 9714 is a docstring refactor in src/diffusers/models/transformers/auraflow_transformer_2d.py." + }, + { + "left": "pull_request:6119", + "right": "pull_request:6402", + "accept": false, + "reason": "Both are LoRA training fixes, but one fixes fp16 gradient unscale behavior and the other fixes gradient checkpointing being ignored." + }, + { + "left": "pull_request:6511", + "right": "pull_request:6526", + "accept": false, + "reason": "Same torch.compile theme, but different training scripts and different save/load hook changes." + }, + { + "left": "pull_request:12737", + "right": "pull_request:12909", + "accept": false, + "reason": "Different model code paths: FLUX.2 context parallel vs. WAN i2v context parallel." + }, + { + "left": "pull_request:9593", + "right": "pull_request:9715", + "accept": false, + "reason": "Factual mismatch again: 9593 is hd_painter docs cleanup, while 9715 is the auraflow transformer docstring refactor." + }, + { + "left": "pull_request:10437", + "right": "pull_request:9401", + "accept": false, + "reason": "Both are device-agnostic test work, but one is a broad test-device update and the other is a single-file test sweep." + }, + { + "left": "pull_request:10508", + "right": "pull_request:9400", + "accept": false, + "reason": "Same accelerator-testing theme, but different scopes and test suites; not the same concrete change." + }, + { + "left": "pull_request:10570", + "right": "pull_request:9355", + "accept": false, + "reason": "Same workflow file, but one updates secrets and the other adds workflow_dispatch/release-branch triggers." + }, + { + "left": "pull_request:3795", + "right": "pull_request:4607", + "accept": false, + "reason": "Both are docs overview updates, but they add different content for different API areas." + }, + { + "left": "pull_request:6021", + "right": "pull_request:6795", + "accept": false, + "reason": "Same SDXL DreamBooth area, but one adds a variant arg and the other adds micro-conditioning; separate features." + }, + { + "left": "pull_request:6279", + "right": "pull_request:6523", + "accept": false, + "reason": "Both are LCM distillation fixes, but one targets multi-GPU guidance embeddings and the other target U-Net initialization." + }, + { + "left": "pull_request:6588", + "right": "pull_request:6757", + "accept": false, + "reason": "One updates a slow test baseline; the other changes sigma placement in the k-diffusion pipeline. Different issues." + }, + { + "left": "pull_request:7124", + "right": "pull_request:7258", + "accept": false, + "reason": "Both touch the SDXL DreamBooth script, but one fixes a kwarg while the other changes save_model_card/playground handling." + }, + { + "left": "pull_request:9400", + "right": "pull_request:9401", + "accept": false, + "reason": "Same broad device-agnostic theme, but different test suites and different helper changes; not mergeable as one PR." + }, + { + "left": "pull_request:5506", + "right": "pull_request:5608", + "accept": false, + "reason": "Different LoRA bugs: PEFT+xformers scale handling vs. empty network_alpha handling." + }, + { + "left": "pull_request:6816", + "right": "pull_request:7235", + "accept": false, + "reason": "One fixes DDP+PEFT behavior in SDXL LoRA training; the other adds DoRA training support." + }, + { + "left": "pull_request:9400", + "right": "pull_request:9401", + "accept": false, + "reason": "Reiterating the same point: related test-device work, but different suites and scopes, so not duplicates." + }, + { + "left": "pull_request:10298", + "right": "pull_request:8819", + "accept": false, + "reason": "Different loading features in different areas: GGUF support for LTX vs. single-file loading for AnimateDiff." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "Reject: one soft-edge verdict is not grounded. The analyst accepted pull_request:9593 vs pull_request:9714 with the reason that they are the 'same file,' but the packet shows 9593 is `examples/community/hd_painter.py` while 9714 is `src/diffusers/models/transformers/auraflow_transformer_2d.py`. That is a factual mismatch. The rest of the writeup is mostly conservative, but this incorrect duplicate claim means the result should not be accepted." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 7, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10183", + "pull_request:10268", + "pull_request:10298", + "pull_request:11358", + "pull_request:11426", + "pull_request:11427", + "pull_request:11463", + "pull_request:11472", + "pull_request:11747", + "pull_request:12407", + "pull_request:1418", + "pull_request:1682", + "pull_request:1898", + "pull_request:2154", + "pull_request:2336", + "pull_request:288", + "pull_request:359", + "pull_request:3642", + "pull_request:3945", + "pull_request:4596", + "pull_request:4946", + "pull_request:4947", + "pull_request:5052", + "pull_request:6035", + "pull_request:6511", + "pull_request:6525", + "pull_request:6532", + "pull_request:6555", + "pull_request:6589", + "pull_request:6795", + "pull_request:6851", + "pull_request:6875", + "pull_request:6960", + "pull_request:7233", + "pull_request:7235", + "pull_request:7260", + "pull_request:7467", + "pull_request:7984", + "pull_request:7988", + "pull_request:8725", + "pull_request:8810", + "pull_request:8864", + "pull_request:8926", + "pull_request:912", + "pull_request:9463", + "pull_request:9917", + "pull_request:9993" + ], + "soft_pairs": [ + "pull_request:6525|pull_request:6589", + "pull_request:10183|pull_request:10298", + "pull_request:11426|pull_request:12407", + "pull_request:11427|pull_request:12407", + "pull_request:11463|pull_request:11472", + "pull_request:1418|pull_request:2336", + "pull_request:1898|pull_request:2154", + "pull_request:3945|pull_request:6035", + "pull_request:4946|pull_request:4947", + "pull_request:6035|pull_request:7467", + "pull_request:6875|pull_request:6960", + "pull_request:8810|pull_request:9917", + "pull_request:8864|pull_request:9917", + "pull_request:8725|pull_request:9463", + "pull_request:6795|pull_request:7233", + "pull_request:7235|pull_request:8926", + "pull_request:8926|pull_request:9993", + "pull_request:6851|pull_request:7260", + "pull_request:6511|pull_request:6532", + "pull_request:6795|pull_request:7235", + "pull_request:10268|pull_request:10298", + "pull_request:11358|pull_request:11747", + "pull_request:1682|pull_request:912", + "pull_request:288|pull_request:359", + "pull_request:3642|pull_request:4596", + "pull_request:5052|pull_request:6555", + "pull_request:6525|pull_request:7984", + "pull_request:6525|pull_request:7988" + ], + "prepared_review_unit_hash": "3437586443e45bc8e0feebe029e6a07ae902f0da10522a2ad6c1f18405788be9", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 101135, + "estimated_input_tokens": 25284, + "estimated_eval_tokens": 50824 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most PRs in this set are unrelated one-off changes. The only strong overlap is a small PAG ControlNet Img2Img cluster, plus a separate HiDream license-header cleanup and one IP-Adapter test flake pair. Everything else is too broad or too different to treat as duplicates.", + "confidence": 0.63, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9917 is the best representative of the PAG ControlNet Img2Img cluster: it is the broadest/most current variant, shares the same pipeline file set as the other PAG Img2Img PRs, and has an explicit issue target.", + "best_issue_reason": null, + "best_pr_reason": "PR 9917 is the strongest overall representative among the candidates because it is the most directly scoped and issue-linked duplicate-style PR in the largest coherent cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6525", + "right": "pull_request:6589", + "accept": false, + "reason": "Same general torch.compile theme, but they fix different training scripts and different save/unwrap paths; not the same concrete change." + }, + { + "left": "pull_request:10183", + "right": "pull_request:10298", + "accept": false, + "reason": "Both add single-file support, but for different models/formats (AutoencoderDC vs LTX GGUF); shared loader code is too broad to treat as duplicate." + }, + { + "left": "pull_request:11426", + "right": "pull_request:12407", + "accept": false, + "reason": "Interpolation-mode training-script follow-up versus UV-compatibility updates across many examples; unrelated changes." + }, + { + "left": "pull_request:11427", + "right": "pull_request:12407", + "accept": false, + "reason": "Different training-script interpolation tweak versus UV-compatibility doc/script changes; not the same underlying bug or change." + }, + { + "left": "pull_request:11463", + "right": "pull_request:11472", + "accept": false, + "reason": "Both touch image interpolation defaults, but in different example scripts and with different scopes; not one mergeable change." + }, + { + "left": "pull_request:1418", + "right": "pull_request:2336", + "accept": false, + "reason": "Both are Versatile Diffusion test fixes, but they address separate test cleanups and resource URL changes rather than one shared bug." + }, + { + "left": "pull_request:1898", + "right": "pull_request:2154", + "accept": false, + "reason": "Same CLI file, but one adds version reporting and the other fixes a typo; distinct fixes." + }, + { + "left": "pull_request:3945", + "right": "pull_request:6035", + "accept": false, + "reason": "Dreambooth LoRA rank support versus help-text/docs cleanup; different changes." + }, + { + "left": "pull_request:4946", + "right": "pull_request:4947", + "accept": false, + "reason": "One updates docs overview, the other adds tests and script wiring; not the same concrete code-path problem." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7467", + "accept": false, + "reason": "Help-text wording change versus adding tag shuffling/drop augmentation; unrelated." + }, + { + "left": "pull_request:6875", + "right": "pull_request:6960", + "accept": true, + "reason": "Both target the same flaky IP-Adapter test file/test case; the later PR is a follow-up stabilization of the same underlying test failure." + }, + { + "left": "pull_request:8810", + "right": "pull_request:9917", + "accept": true, + "reason": "Same PAG ControlNet Img2Img pipeline addition with the same core file set; the broader PR 9917 looks like a later, more complete version of the same feature." + }, + { + "left": "pull_request:8864", + "right": "pull_request:9917", + "accept": true, + "reason": "Same PAG ControlNet Img2Img pipeline/code path; these are effectively overlapping implementations of the same feature addition." + }, + { + "left": "pull_request:8725", + "right": "pull_request:9463", + "accept": false, + "reason": "Both add PAG support, but for different pipeline variants (SD architecture vs SD Img2Img); too broad to merge as duplicates." + }, + { + "left": "pull_request:6795", + "right": "pull_request:7233", + "accept": false, + "reason": "Different Dreambooth LoRA changes: micro-conditioning versus DoRA support." + }, + { + "left": "pull_request:7235", + "right": "pull_request:8926", + "accept": false, + "reason": "DoRA training feature versus checkpoint-save fix; different problem and code path." + }, + { + "left": "pull_request:8926", + "right": "pull_request:9993", + "accept": false, + "reason": "Both are checkpoint-save fixes, but for different training scripts and models; not the same concrete change." + }, + { + "left": "pull_request:6851", + "right": "pull_request:7260", + "accept": false, + "reason": "PIA single-file/IP-Adapter support versus SAG IP-Adapter support; separate pipeline implementations." + }, + { + "left": "pull_request:6511", + "right": "pull_request:6532", + "accept": false, + "reason": "Both address torch.compile compatibility, but in different training scripts and wrapper logic." + }, + { + "left": "pull_request:6795", + "right": "pull_request:7235", + "accept": false, + "reason": "Micro-conditioning addition versus DoRA documentation/feature work; unrelated." + }, + { + "left": "pull_request:10268", + "right": "pull_request:10298", + "accept": false, + "reason": "Shared single-file loader utilities, but the changes target different model support paths and are not the same feature." + }, + { + "left": "pull_request:11358", + "right": "pull_request:11747", + "accept": true, + "reason": "Both are about adding the missing HiDream license header; 11747 is a narrower implementation of the same license cleanup." + }, + { + "left": "pull_request:1682", + "right": "pull_request:912", + "accept": false, + "reason": "Both are version bumps, but for different releases and surrounding code changes; not a duplicate change." + }, + { + "left": "pull_request:288", + "right": "pull_request:359", + "accept": false, + "reason": "Type-hint cleanups in different Karras VE files (pipeline vs scheduler); not the same change." + }, + { + "left": "pull_request:3642", + "right": "pull_request:4596", + "accept": false, + "reason": "TensorRT inpaint pipeline addition versus SDXL conversion script; unrelated." + }, + { + "left": "pull_request:5052", + "right": "pull_request:6555", + "accept": false, + "reason": "Wuerstchen training script addition versus text-to-image LoRA compile-compatibility work; different areas and goals." + }, + { + "left": "pull_request:6525", + "right": "pull_request:7984", + "accept": false, + "reason": "Both mention torch.compile compatibility, but one is ControlNet training and the other is VAE decoding; separate code paths." + }, + { + "left": "pull_request:6525", + "right": "pull_request:7988", + "accept": false, + "reason": "Different code paths: ControlNet training save hooks versus IPAdapter layer iteration changes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The duplicate/overlap calls mostly track shared files and closely aligned scopes, and the non-duplicate verdicts avoid overclaiming equivalence when the patches touch different scripts, models, or bug classes. The PAG ControlNet Img2Img cluster, the IP-Adapter test pair, and the HiDream license-header cleanup are all supported by the provided diffs." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 8, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10077", + "pull_request:10298", + "pull_request:10633", + "pull_request:10991", + "pull_request:11271", + "pull_request:11550", + "pull_request:12215", + "pull_request:12325", + "pull_request:288", + "pull_request:325", + "pull_request:3642", + "pull_request:3952", + "pull_request:4595", + "pull_request:5057", + "pull_request:5175", + "pull_request:5517", + "pull_request:5914", + "pull_request:5938", + "pull_request:6035", + "pull_request:6303", + "pull_request:644", + "pull_request:645", + "pull_request:6511", + "pull_request:6534", + "pull_request:6556", + "pull_request:6566", + "pull_request:6691", + "pull_request:6816", + "pull_request:6968", + "pull_request:7233", + "pull_request:7258", + "pull_request:754", + "pull_request:7580", + "pull_request:7797", + "pull_request:7803", + "pull_request:7804", + "pull_request:7833", + "pull_request:7846", + "pull_request:869", + "pull_request:8755", + "pull_request:8770", + "pull_request:8775", + "pull_request:8926", + "pull_request:8973", + "pull_request:8983", + "pull_request:8987", + "pull_request:9483", + "pull_request:9787" + ], + "soft_pairs": [ + "pull_request:754|pull_request:869", + "pull_request:5517|pull_request:6303", + "pull_request:8973|pull_request:8987", + "pull_request:6691|pull_request:6968", + "pull_request:6816|pull_request:7233", + "pull_request:10633|pull_request:9787", + "pull_request:10298|pull_request:11550", + "pull_request:6511|pull_request:6534", + "pull_request:644|pull_request:645", + "pull_request:5057|pull_request:5938", + "pull_request:12215|pull_request:12325", + "pull_request:10077|pull_request:11271", + "pull_request:10298|pull_request:10991", + "pull_request:288|pull_request:325", + "pull_request:3642|pull_request:4595", + "pull_request:3952|pull_request:5175", + "pull_request:5914|pull_request:6556", + "pull_request:6035|pull_request:7258", + "pull_request:6566|pull_request:8755", + "pull_request:7580|pull_request:7797", + "pull_request:7580|pull_request:7803", + "pull_request:7580|pull_request:7804", + "pull_request:7580|pull_request:7833", + "pull_request:7580|pull_request:7846", + "pull_request:8770|pull_request:8775", + "pull_request:8983|pull_request:9483", + "pull_request:7233|pull_request:8926" + ], + "prepared_review_unit_hash": "9cf7625171687ad55045c95bc909e02ebfc7e29a7dd4e2af269ef44fb825a356", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 97579, + "estimated_input_tokens": 24395, + "estimated_eval_tokens": 49046 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous PRs that share broad themes or files but not the same concrete change. I only see two true duplicates: the textual inversion periodic-save PRs (644/645) and likely the community pipeline import-bug fixes (754/869).", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents the whole cluster, but PR 645 is the strongest canonical anchor because it is the merged, cleaner version of the exact same textual-inversion save-progress change as PR 644.", + "best_issue_reason": null, + "best_pr_reason": "PR 645 is the best standalone PR candidate in this set: it is merged and most clearly supersedes another PR with the same concrete functionality.", + "soft_edge_verdicts": [ + { + "left": "pull_request:754", + "right": "pull_request:869", + "accept": true, + "reason": "Both appear to fix the same community-pipeline dynamic module import bug in `dynamic_modules_utils.py`; the extra README/lower-memory edits do not change the underlying bug match." + }, + { + "left": "pull_request:5517", + "right": "pull_request:6303", + "accept": false, + "reason": "Different training scripts for different methods (LCM vs ADD); same general area, but not the same change." + }, + { + "left": "pull_request:8973", + "right": "pull_request:8987", + "accept": false, + "reason": "One reduces Lumina test size; the other adds Lumina transformer test coverage. Related area, different work." + }, + { + "left": "pull_request:6691", + "right": "pull_request:6968", + "accept": false, + "reason": "Both touch the advanced SDXL DreamBooth LoRA script, but they address different bugs/features and are not the same concrete fix." + }, + { + "left": "pull_request:6816", + "right": "pull_request:7233", + "accept": false, + "reason": "Same file, but one is DDP+PEFT compatibility and the other adds DoRA support; not duplicate changes." + }, + { + "left": "pull_request:10633", + "right": "pull_request:9787", + "accept": false, + "reason": "Docs example vs full Flux IP-Adapter feature implementation; not the same PR change." + }, + { + "left": "pull_request:10298", + "right": "pull_request:11550", + "accept": false, + "reason": "Both add single-file/GGUF support, but for different models (LTX vs HiDream), so they are not duplicates." + }, + { + "left": "pull_request:6511", + "right": "pull_request:6534", + "accept": false, + "reason": "Both are compile-compatibility fixes, but they target different training scripts and code paths." + }, + { + "left": "pull_request:644", + "right": "pull_request:645", + "accept": true, + "reason": "These implement the same textual-inversion periodic embedding save feature; 645 is the cleaner merged follow-up to 644." + }, + { + "left": "pull_request:5057", + "right": "pull_request:5938", + "accept": false, + "reason": "Clip-skip support for SDXL ControlNet vs ControlNet LoRA support; different functionality." + }, + { + "left": "pull_request:12215", + "right": "pull_request:12325", + "accept": false, + "reason": "Both concern Qwen-Image ControlNet, but one is base Qwen-Image and the other is Qwen-Image-Edit; different pipelines and code paths." + }, + { + "left": "pull_request:10077", + "right": "pull_request:11271", + "accept": false, + "reason": "Both are single-file fixes, but for different model families (SD3.5 vs LTX 0.9.5)." + }, + { + "left": "pull_request:288", + "right": "pull_request:325", + "accept": false, + "reason": "Both are type-hint cleanups for different old pipelines; not the same bug or change." + }, + { + "left": "pull_request:3642", + "right": "pull_request:4595", + "accept": false, + "reason": "Different feature work: TensorRT inpainting pipeline vs a WIP XL-to-original-SD conversion project." + }, + { + "left": "pull_request:3952", + "right": "pull_request:5175", + "accept": false, + "reason": "One pins a dependency for testing, the other changes HF_HOME in CI; unrelated." + }, + { + "left": "pull_request:5914", + "right": "pull_request:6556", + "accept": false, + "reason": "Readme-template cleanup vs torch.compile compatibility fix; not the same underlying issue." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7258", + "accept": false, + "reason": "Help-text/docs improvement vs save_model_card logic fix; same script, different changes." + }, + { + "left": "pull_request:6566", + "right": "pull_request:8755", + "accept": false, + "reason": "Different DreamBooth/LoRA scripts and different bugs; not duplicates." + }, + { + "left": "pull_request:7580", + "right": "pull_request:7797", + "accept": false, + "reason": "Both reduce fast-test model sizes, but for different pipeline tests." + }, + { + "left": "pull_request:7580", + "right": "pull_request:7803", + "accept": false, + "reason": "Both reduce fast-test model sizes, but for different pipeline tests." + }, + { + "left": "pull_request:7580", + "right": "pull_request:7804", + "accept": false, + "reason": "Both reduce fast-test model sizes, but for different pipeline tests." + }, + { + "left": "pull_request:7580", + "right": "pull_request:7833", + "accept": false, + "reason": "Both reduce fast-test model sizes, but for different pipeline tests." + }, + { + "left": "pull_request:7580", + "right": "pull_request:7846", + "accept": false, + "reason": "Both reduce fast-test model sizes, but for different pipeline tests." + }, + { + "left": "pull_request:8770", + "right": "pull_request:8775", + "accept": false, + "reason": "Both are README-only updates, but one adds InstantID and the other adds a Colab link." + }, + { + "left": "pull_request:8983", + "right": "pull_request:9483", + "accept": false, + "reason": "Different CI/test maintenance changes; not the same fix." + }, + { + "left": "pull_request:7233", + "right": "pull_request:8926", + "accept": false, + "reason": "DoRA feature work vs checkpoint-save bug fix in a different advanced script; not duplicate." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and the soft-edge decisions are mostly conservative. The two accepted pairs are plausibly mergeable as same bugfix families, especially 754/869 and 644/645, and the rejections are well supported by differing files/features. One minor nuance: 644/645 are similar rather than literally identical, but the core textual-inversion save-progress change is still the same enough to justify acceptance." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 9, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1012", + "pull_request:10991", + "pull_request:11059", + "pull_request:11175", + "pull_request:12170", + "pull_request:12301", + "pull_request:12325", + "pull_request:12496", + "pull_request:12909", + "pull_request:2237", + "pull_request:3127", + "pull_request:3201", + "pull_request:3265", + "pull_request:344", + "pull_request:346", + "pull_request:3686", + "pull_request:4495", + "pull_request:4498", + "pull_request:4621", + "pull_request:4862", + "pull_request:4946", + "pull_request:5090", + "pull_request:5448", + "pull_request:5559", + "pull_request:5993", + "pull_request:6004", + "pull_request:6021", + "pull_request:6035", + "pull_request:6099", + "pull_request:6330", + "pull_request:6511", + "pull_request:6525", + "pull_request:6556", + "pull_request:6566", + "pull_request:6691", + "pull_request:6764", + "pull_request:6795", + "pull_request:6864", + "pull_request:7072", + "pull_request:7124", + "pull_request:7166", + "pull_request:7182", + "pull_request:7196", + "pull_request:7233", + "pull_request:7984", + "pull_request:7988", + "pull_request:9754", + "pull_request:9806" + ], + "soft_pairs": [ + "pull_request:5448|pull_request:5559", + "pull_request:4946|pull_request:7196", + "pull_request:6511|pull_request:6556", + "pull_request:6004|pull_request:6330", + "pull_request:6035|pull_request:6691", + "pull_request:5993|pull_request:6099", + "pull_request:6795|pull_request:7072", + "pull_request:11059|pull_request:12170", + "pull_request:12301|pull_request:12325", + "pull_request:1012|pull_request:2237", + "pull_request:10991|pull_request:11175", + "pull_request:3201|pull_request:3686", + "pull_request:3265|pull_request:3686", + "pull_request:344|pull_request:346", + "pull_request:4495|pull_request:4498", + "pull_request:6021|pull_request:7233", + "pull_request:6511|pull_request:6525", + "pull_request:6511|pull_request:7984", + "pull_request:6511|pull_request:7988", + "pull_request:6566|pull_request:7182", + "pull_request:7124|pull_request:7166", + "pull_request:9754|pull_request:9806", + "pull_request:3127|pull_request:4862", + "pull_request:4621|pull_request:5090", + "pull_request:6764|pull_request:6864", + "pull_request:12496|pull_request:12909" + ], + "prepared_review_unit_hash": "6d8045325c1a308f27d411280f66dacea776283a55d3ea34d1b3de75f85384cc", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 98705, + "estimated_input_tokens": 24677, + "estimated_eval_tokens": 49610 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a loose topical grouping, not a true duplicate cluster: the PRs span unrelated features, docs, and bug fixes across DreamBooth, Wan, Qwen, LCM, VAE, ControlNet, and training scripts. None of the soft edges looks like the same underlying change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:5448", + "right": "pull_request:5559", + "accept": false, + "reason": "Both are LCM-related, but one adds the base pipeline and scheduler docs while the other is an img2img WIP; different code paths and change scope." + }, + { + "left": "pull_request:4946", + "right": "pull_request:7196", + "accept": false, + "reason": "Unrelated training docs: one updates the overview, the other adds IP-Adapter training scripts and docs." + }, + { + "left": "pull_request:6511", + "right": "pull_request:6556", + "accept": false, + "reason": "Same torch.compile theme, but they fix different training scripts and save/load paths; not one mergeable change." + }, + { + "left": "pull_request:6004", + "right": "pull_request:6330", + "accept": false, + "reason": "Both touch SVD docs, but they fix different documentation issues and outputs." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6691", + "accept": false, + "reason": "The advanced SDXL training README and the later training-feature PR are not the same bug/change." + }, + { + "left": "pull_request:5993", + "right": "pull_request:6099", + "accept": false, + "reason": "Both are superclass-argument fixes, but for different pipelines and constructors." + }, + { + "left": "pull_request:6795", + "right": "pull_request:7072", + "accept": false, + "reason": "Different SDXL training features: micro-conditioning versus DoRA support." + }, + { + "left": "pull_request:11059", + "right": "pull_request:12170", + "accept": false, + "reason": "Both are LoRA conversion updates, but for different model families and conversion logic." + }, + { + "left": "pull_request:12301", + "right": "pull_request:12325", + "accept": false, + "reason": "Separate Qwen-Image pipelines (ControlNet vs Edit-ControlNet); related area but different concrete features." + }, + { + "left": "pull_request:1012", + "right": "pull_request:2237", + "accept": false, + "reason": "Both are DreamBooth script changes, but one sets text encoder train mode and the other splits learning rates." + }, + { + "left": "pull_request:10991", + "right": "pull_request:11175", + "accept": false, + "reason": "Wan single-file loading and WAN I2V image-embedding support are distinct pipeline features." + }, + { + "left": "pull_request:3201", + "right": "pull_request:3686", + "accept": false, + "reason": "A revert of a community pipeline change is unrelated to the IPEX pipeline update." + }, + { + "left": "pull_request:3265", + "right": "pull_request:3686", + "accept": false, + "reason": "Same as above: a revert sequence versus an IPEX pipeline update are not the same underlying change." + }, + { + "left": "pull_request:344", + "right": "pull_request:346", + "accept": false, + "reason": "Both are VAE type-hint edits, but one is broad typing cleanup and the other is a specific signature annotation." + }, + { + "left": "pull_request:4495", + "right": "pull_request:4498", + "accept": false, + "reason": "The first creates the SDXL reference pipeline; the second is only a README/docs follow-up." + }, + { + "left": "pull_request:6021", + "right": "pull_request:7233", + "accept": false, + "reason": "Unrelated SDXL DreamBooth LoRA additions: variant loading versus DoRA training support." + }, + { + "left": "pull_request:6511", + "right": "pull_request:6525", + "accept": false, + "reason": "Both address torch.compile compatibility, but in different training scripts and save hooks." + }, + { + "left": "pull_request:6511", + "right": "pull_request:7984", + "accept": false, + "reason": "Training-script compile compatibility and VAE decode compile compatibility are different code paths." + }, + { + "left": "pull_request:6511", + "right": "pull_request:7988", + "accept": false, + "reason": "Same reasoning: different model/component and a different compile workaround." + }, + { + "left": "pull_request:6566", + "right": "pull_request:7182", + "accept": false, + "reason": "Advanced DreamBooth resume-fix work and EDM-style training are separate changes." + }, + { + "left": "pull_request:7124", + "right": "pull_request:7166", + "accept": false, + "reason": "Both are small SDXL LoRA DreamBooth fixes, but they fix different bugs in different sections of the script." + }, + { + "left": "pull_request:9754", + "right": "pull_request:9806", + "accept": false, + "reason": "Shared Flux quantization script, but one adds the script and the other extends optimizer/options; not the same change." + }, + { + "left": "pull_request:3127", + "right": "pull_request:4862", + "accept": false, + "reason": "Different bug fixes in different pipelines: safety checker handling versus MultiControlNet img2img shape handling." + }, + { + "left": "pull_request:4621", + "right": "pull_request:5090", + "accept": false, + "reason": "Same adapter subsystem, but one validates multi-adapter downscale factors and the other fixes weight accumulation behavior." + }, + { + "left": "pull_request:6764", + "right": "pull_request:6864", + "accept": false, + "reason": "Both are PEFT docs notes, but they cover different topics: serialization after fusion vs torch.compile guidance." + }, + { + "left": "pull_request:12496", + "right": "pull_request:12909", + "accept": false, + "reason": "Both are Wan I2V-related, but they fix different issues: latent-frame shape mismatch versus context-parallel behavior." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 10, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10222", + "pull_request:10275", + "pull_request:10359", + "pull_request:10365", + "pull_request:10419", + "pull_request:10464", + "pull_request:10585", + "pull_request:1103", + "pull_request:11325", + "pull_request:11348", + "pull_request:1162", + "pull_request:11731", + "pull_request:11740", + "pull_request:11851", + "pull_request:1230", + "pull_request:12757", + "pull_request:13082", + "pull_request:13254", + "pull_request:13283", + "pull_request:13315", + "pull_request:13335", + "pull_request:13344", + "pull_request:13371", + "pull_request:136", + "pull_request:1394", + "pull_request:1423", + "pull_request:168", + "pull_request:1763", + "pull_request:178", + "pull_request:1795", + "pull_request:2487", + "pull_request:325", + "pull_request:326", + "pull_request:3541", + "pull_request:386", + "pull_request:4632", + "pull_request:4749", + "pull_request:4774", + "pull_request:5057", + "pull_request:715", + "pull_request:7166", + "pull_request:869", + "pull_request:8691", + "pull_request:8797", + "pull_request:912", + "pull_request:934", + "pull_request:936", + "pull_request:9751" + ], + "soft_pairs": [ + "pull_request:7166|pull_request:8691", + "pull_request:325|pull_request:326", + "pull_request:4632|pull_request:4749", + "pull_request:4774|pull_request:5057", + "pull_request:10222|pull_request:10365", + "pull_request:10275|pull_request:10585", + "pull_request:10359|pull_request:8797", + "pull_request:10419|pull_request:11325", + "pull_request:10464|pull_request:9751", + "pull_request:1103|pull_request:136", + "pull_request:11348|pull_request:11851", + "pull_request:1162|pull_request:869", + "pull_request:11731|pull_request:11740", + "pull_request:1230|pull_request:934", + "pull_request:12757|pull_request:13283", + "pull_request:13082|pull_request:13371", + "pull_request:13254|pull_request:13344", + "pull_request:13315|pull_request:13344", + "pull_request:13335|pull_request:13344", + "pull_request:1394|pull_request:912", + "pull_request:1423|pull_request:2487", + "pull_request:168|pull_request:386", + "pull_request:1763|pull_request:3541", + "pull_request:178|pull_request:936", + "pull_request:1795|pull_request:715" + ], + "prepared_review_unit_hash": "0972ebf9f81c6298a3e128bdc9adff0159c6c4a692feee203c5917456a2ac55a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 98174, + "estimated_input_tokens": 24544, + "estimated_eval_tokens": 49344 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set: it mixes unrelated docs, tests, scheduler/utility tweaks, and several separate feature PRs across years. None of the soft-edge pairs look like the same concrete bug fix or mergeable change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a safe canonical because the items span many unrelated topics; forcing one would conflate separate docs/test/feature changes.", + "best_issue_reason": null, + "best_pr_reason": "No clear global best PR for deduplication purposes: the cluster does not share one underlying change, so any PR would be only a weak representative.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7166", + "right": "pull_request:8691", + "accept": false, + "reason": "Both touch LoRA loading, but one is SDXL DreamBooth checkpoint loading and the other is vanilla LoRA-to-UNet loading; different code paths and bug scopes." + }, + { + "left": "pull_request:325", + "right": "pull_request:326", + "accept": false, + "reason": "These are type-hint cleanups for different pipelines (Score SDE VE vs PNDM), not the same change." + }, + { + "left": "pull_request:4632", + "right": "pull_request:4749", + "accept": false, + "reason": "Both are SDXL LoRA/example fixes, but one is checkpointing/casting in text-to-image LoRA training and the other is DreamBooth LoRA checkpoint loading; separate issues." + }, + { + "left": "pull_request:4774", + "right": "pull_request:5057", + "accept": false, + "reason": "One adds negative-condition support for SDXL; the other adds clip-skip support across SDXL pipelines. Same family, different features." + }, + { + "left": "pull_request:10222", + "right": "pull_request:10365", + "accept": false, + "reason": "Both add torch_xla support, but to different pipelines (ControlNet vs AuraFlow) and with different integration points." + }, + { + "left": "pull_request:10275", + "right": "pull_request:10585", + "accept": false, + "reason": "One is licensing-header cleanup across LTX/Mochi files; the other changes Mochi VAE typing. Not the same underlying change." + }, + { + "left": "pull_request:10359", + "right": "pull_request:8797", + "accept": false, + "reason": "One fixes assorted test files; the other adjusts sharding tests. Too broad and unrelated to treat as duplicates." + }, + { + "left": "pull_request:10419", + "right": "pull_request:11325", + "accept": false, + "reason": "Docs-only changes in different areas: scheduler docstrings vs HiDream docstrings." + }, + { + "left": "pull_request:10464", + "right": "pull_request:9751", + "accept": false, + "reason": "Both are NPU/FLUX work, but one targets ControlNet/training-script NPU flash-attention handling and the other targets DreamBooth FLUX NPU setup and model code. Same subsystem, different concrete PRs." + }, + { + "left": "pull_request:1103", + "right": "pull_request:136", + "accept": false, + "reason": "One fixes a model-card URL in a README; the other fixes manifest packaging. No shared bug/change." + }, + { + "left": "pull_request:11348", + "right": "pull_request:11851", + "accept": false, + "reason": "Different documentation updates in different guides: AuraFlow compiler note vs `_keep_in_fp32_modules` note." + }, + { + "left": "pull_request:1162", + "right": "pull_request:869", + "accept": false, + "reason": "Community-pipeline link/docs cleanup vs LoRA loading behavior; unrelated." + }, + { + "left": "pull_request:11731", + "right": "pull_request:11740", + "accept": false, + "reason": "One is docs about compile+offload, the other adds GGUF compile/offload tests. Related theme, but not the same change." + }, + { + "left": "pull_request:1230", + "right": "pull_request:934", + "accept": false, + "reason": "Both address MPS/test reliability, but one is a fast-test generator fix and the other is broader MPS failing tests. Different fixes." + }, + { + "left": "pull_request:12757", + "right": "pull_request:13283", + "accept": false, + "reason": "Both edit the attention backends doc, but one formats the kernels link while the other changes FA3 minimum-support guidance. Distinct doc edits." + }, + { + "left": "pull_request:13082", + "right": "pull_request:13371", + "accept": false, + "reason": "Different refactors for different model families: Wan transformer tests vs Wan autoencoder tests." + }, + { + "left": "pull_request:13254", + "right": "pull_request:13344", + "accept": false, + "reason": "LTX transformer test refactor vs GLM image transformer tests are unrelated." + }, + { + "left": "pull_request:13315", + "right": "pull_request:13344", + "accept": false, + "reason": "Sana transformer test refactor vs GLM image transformer tests are different model areas." + }, + { + "left": "pull_request:13335", + "right": "pull_request:13344", + "accept": false, + "reason": "Cosmos transformer tests vs GLM image transformer tests are unrelated." + }, + { + "left": "pull_request:1394", + "right": "pull_request:912", + "accept": false, + "reason": "Different version bumps for different releases; not duplicates." + }, + { + "left": "pull_request:1423", + "right": "pull_request:2487", + "accept": false, + "reason": "One adds Flax support for SD2 in code; the other adds a JAX/Flax guide in docs. Documentation vs implementation." + }, + { + "left": "pull_request:168", + "right": "pull_request:386", + "accept": false, + "reason": "Stable Diffusion pipeline implementation vs Stable Diffusion docs; not the same artifact or bug." + }, + { + "left": "pull_request:1763", + "right": "pull_request:3541", + "accept": false, + "reason": "Different attention-mask fixes in different places: Versatile attention vs DreamBooth collate logic." + }, + { + "left": "pull_request:178", + "right": "pull_request:936", + "accept": false, + "reason": "One adds stable diffusion tests; the other reorganizes stable diffusion tests and pipeline registration. Related area, but not the same concrete change." + }, + { + "left": "pull_request:1795", + "right": "pull_request:715", + "accept": false, + "reason": "Both are optional-backend/import-related, but one fixes JAX-installed OOM behavior in a Flax scheduler and the other gates testing-utils imports when PyTorch is absent." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 11, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1960", + "pull_request:2487", + "pull_request:2539", + "pull_request:2559", + "pull_request:2604", + "pull_request:2757", + "pull_request:2839", + "pull_request:2887", + "pull_request:3166", + "pull_request:3168", + "pull_request:3170", + "pull_request:3525", + "pull_request:3633", + "pull_request:3680", + "pull_request:3687", + "pull_request:3819", + "pull_request:4113", + "pull_request:4145", + "pull_request:4258", + "pull_request:4317", + "pull_request:4330", + "pull_request:4339", + "pull_request:4472", + "pull_request:4574", + "pull_request:4626", + "pull_request:4717", + "pull_request:5411", + "pull_request:5720", + "pull_request:5721", + "pull_request:5838", + "pull_request:6106", + "pull_request:6122", + "pull_request:6282", + "pull_request:6837", + "pull_request:7360", + "pull_request:7425", + "pull_request:7903", + "pull_request:7910", + "pull_request:8064", + "pull_request:8483", + "pull_request:874", + "pull_request:8775", + "pull_request:889", + "pull_request:8923", + "pull_request:897", + "pull_request:9386", + "pull_request:9553" + ], + "soft_pairs": [ + "pull_request:1960|pull_request:3525", + "pull_request:2487|pull_request:889", + "pull_request:2539|pull_request:4339", + "pull_request:2559|pull_request:4717", + "pull_request:2604|pull_request:3680", + "pull_request:2757|pull_request:4113", + "pull_request:2839|pull_request:3819", + "pull_request:2887|pull_request:4317", + "pull_request:3166|pull_request:5411", + "pull_request:3168|pull_request:3687", + "pull_request:3170|pull_request:3633", + "pull_request:3170|pull_request:4145", + "pull_request:4258|pull_request:4472", + "pull_request:4317|pull_request:6106", + "pull_request:4317|pull_request:6282", + "pull_request:4330|pull_request:4574", + "pull_request:4574|pull_request:4626", + "pull_request:5720|pull_request:6122", + "pull_request:5721|pull_request:5838", + "pull_request:6106|pull_request:6282", + "pull_request:6837|pull_request:7360", + "pull_request:6837|pull_request:7910", + "pull_request:7360|pull_request:7425", + "pull_request:7903|pull_request:8923", + "pull_request:8064|pull_request:8923", + "pull_request:8483|pull_request:9386", + "pull_request:874|pull_request:897", + "pull_request:8775|pull_request:9553" + ], + "prepared_review_unit_hash": "434d9e2e59d019e646b92e65a569046ff4449d6f17b71d2fc3f10cb8c4a83d66", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 94782, + "estimated_input_tokens": 23696, + "estimated_eval_tokens": 47648 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly superficial similarity: docs/test/readme PRs across unrelated files plus a few distinct feature/fix PRs. I do not see any soft pair that cleanly represents the same underlying change.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear duplicate group emerges; if one PR must anchor the cluster, 8483 is the most substantial and well-linked change, but it is still unrelated to most others.", + "best_issue_reason": null, + "best_pr_reason": "8483 is the strongest standalone PR in the set: large, feature-complete, explicit issue-linked, and with broad review signal. The rest are narrower docs or test tweaks.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1960", + "right": "pull_request:3525", + "accept": false, + "reason": "Both touch README docs, but one updates ColossalAI setup instructions while the other makes unrelated top-level README edits; different content and purpose." + }, + { + "left": "pull_request:2487", + "right": "pull_request:889", + "accept": false, + "reason": "One adds a JAX/Flax guide, the other adds DiffusionPipeline components support; different docs versus code/API change." + }, + { + "left": "pull_request:2539", + "right": "pull_request:4339", + "accept": false, + "reason": "Both adjust default guidance-scale doc text, but they apply to different pipelines and different values; not the same change." + }, + { + "left": "pull_request:2559", + "right": "pull_request:4717", + "accept": false, + "reason": "Both are docs fixes, but one fixes ControlNet overview links while the other fixes a controlnet training doc tip/tag issue; different pages and bugs." + }, + { + "left": "pull_request:2604", + "right": "pull_request:3680", + "accept": false, + "reason": "Both fix docs links, but they target different pages and different link issues; not the same underlying edit." + }, + { + "left": "pull_request:2757", + "right": "pull_request:4113", + "accept": false, + "reason": "Both are stable-diffusion pipeline fixes, but one is depth batching and the other is SDXL inpaint dtype handling; different code paths and bugs." + }, + { + "left": "pull_request:2839", + "right": "pull_request:3819", + "accept": false, + "reason": "Same file, but one adds examples to the README and the other adds a FAQ section; unrelated documentation changes." + }, + { + "left": "pull_request:2887", + "right": "pull_request:4317", + "accept": false, + "reason": "One changes ControlNet validation batching, the other changes Dreambooth tracker config handling; different scripts and problems." + }, + { + "left": "pull_request:3166", + "right": "pull_request:5411", + "accept": false, + "reason": "One fixes a textual inversion usage example, the other fixes a broken training-doc link and touches AltDiffusion code; not the same change." + }, + { + "left": "pull_request:3168", + "right": "pull_request:3687", + "accept": false, + "reason": "Both are doc-builder test-style edits to the homepage title, but they are separate dummy text changes rather than one shared fix." + }, + { + "left": "pull_request:3170", + "right": "pull_request:3633", + "accept": false, + "reason": "Both pin huggingface-hub in setup.py, but to different versions for different test purposes; not mergeable as one concrete change." + }, + { + "left": "pull_request:3170", + "right": "pull_request:4145", + "accept": false, + "reason": "A dependency pin in setup.py is unrelated to commenting out UnCLIP constructor modules; different artifacts and intent." + }, + { + "left": "pull_request:4258", + "right": "pull_request:4472", + "accept": false, + "reason": "Both touch the SDXL dreambooth README, but one rewrites the note while the other removes login instructions; different edits." + }, + { + "left": "pull_request:4317", + "right": "pull_request:6106", + "accept": false, + "reason": "Both mention dreambooth-related training docs/scripts, but one fixes validation tracker config and the other fixes an example pipe reference in saved model card text; different issues." + }, + { + "left": "pull_request:4317", + "right": "pull_request:6282", + "accept": false, + "reason": "Both are Dreambooth training fixes, but one handles validation option tracking and the other removes a runtime error in VAE detection; different concrete bugs." + }, + { + "left": "pull_request:4330", + "right": "pull_request:4574", + "accept": false, + "reason": "One corrects a ControlNet README header, the other updates InstructPix2Pix README mentions; unrelated docs." + }, + { + "left": "pull_request:4574", + "right": "pull_request:4626", + "accept": false, + "reason": "InstructPix2Pix README changes and text2image link fixes are different documentation updates with no shared bug." + }, + { + "left": "pull_request:5720", + "right": "pull_request:6122", + "accept": false, + "reason": "Both are broad docs sweeps, but they edit different document sets and fix different wording issues; too generic to count as duplicates." + }, + { + "left": "pull_request:5721", + "right": "pull_request:5838", + "accept": false, + "reason": "Both change CI dependency installs, but one is PR test runner accelerate-only and the other is PEFT backend dependencies; different workflows and package sets." + }, + { + "left": "pull_request:6106", + "right": "pull_request:6282", + "accept": false, + "reason": "One is a saved-example text fix in advanced training docs, the other is a runtime fix in Dreambooth training; unrelated problems." + }, + { + "left": "pull_request:6837", + "right": "pull_request:7360", + "accept": false, + "reason": "One is an import-order doc tweak for i2vgen-xl, the other is a scheduler typing/docs fix; different code areas." + }, + { + "left": "pull_request:6837", + "right": "pull_request:7910", + "accept": false, + "reason": "One is a doc example import order change, the other adds image-processor docs entries; unrelated." + }, + { + "left": "pull_request:7360", + "right": "pull_request:7425", + "accept": false, + "reason": "A scheduler docs/type fix and a PEFT inference tutorial formatting fix are unrelated changes." + }, + { + "left": "pull_request:7903", + "right": "pull_request:8923", + "accept": false, + "reason": "One is a video-processor implementation test PR, the other is CI/debugging hub issues; different scope and purpose." + }, + { + "left": "pull_request:8064", + "right": "pull_request:8923", + "accept": false, + "reason": "Marigold pipeline test scaffolding is unrelated to the CI hub-debug PR; no shared code path." + }, + { + "left": "pull_request:8483", + "right": "pull_request:9386", + "accept": false, + "reason": "Both are major feature PRs, but SD3 support and PAG inpaint support are different pipelines and changes that would not merge as one patch." + }, + { + "left": "pull_request:874", + "right": "pull_request:897", + "accept": false, + "reason": "One updates a community README entry for custom pipelines; the other adds a speech-to-image example. Different examples and content." + }, + { + "left": "pull_request:8775", + "right": "pull_request:9553", + "accept": false, + "reason": "One adds a Colab link in an SD3 LoRA README; the other expands distributed inference docs with device-map guidance. Different docs and intent." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 12, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10063", + "pull_request:10323", + "pull_request:10346", + "pull_request:10402", + "pull_request:10968", + "pull_request:11243", + "pull_request:11292", + "pull_request:11431", + "pull_request:11451", + "pull_request:11516", + "pull_request:11571", + "pull_request:12095", + "pull_request:12225", + "pull_request:12249", + "pull_request:1508", + "pull_request:1513", + "pull_request:2766", + "pull_request:3170", + "pull_request:4944", + "pull_request:5175", + "pull_request:5448", + "pull_request:5506", + "pull_request:5517", + "pull_request:5807", + "pull_request:5915", + "pull_request:6225", + "pull_request:6267", + "pull_request:6714", + "pull_request:6757", + "pull_request:6760", + "pull_request:6787", + "pull_request:6962", + "pull_request:7062", + "pull_request:7166", + "pull_request:7206", + "pull_request:7372", + "pull_request:7966", + "pull_request:8572", + "pull_request:9005", + "pull_request:9008", + "pull_request:9070", + "pull_request:9257", + "pull_request:934", + "pull_request:9408", + "pull_request:9483", + "pull_request:9881", + "pull_request:9940", + "pull_request:9993" + ], + "soft_pairs": [ + "pull_request:9070|pull_request:9408", + "pull_request:5448|pull_request:5517", + "pull_request:11571|pull_request:12095", + "pull_request:4944|pull_request:5915", + "pull_request:5506|pull_request:6225", + "pull_request:9257|pull_request:9993", + "pull_request:6267|pull_request:6757", + "pull_request:6787|pull_request:7062", + "pull_request:10968|pull_request:11516", + "pull_request:5807|pull_request:7062", + "pull_request:10346|pull_request:9881", + "pull_request:10063|pull_request:9940", + "pull_request:11243|pull_request:11292", + "pull_request:11431|pull_request:11451", + "pull_request:8572|pull_request:9008", + "pull_request:12225|pull_request:12249", + "pull_request:10323|pull_request:10402", + "pull_request:2766|pull_request:934", + "pull_request:3170|pull_request:5175", + "pull_request:6714|pull_request:6760", + "pull_request:6962|pull_request:7966", + "pull_request:9005|pull_request:9483", + "pull_request:7206|pull_request:7372", + "pull_request:1508|pull_request:1513", + "pull_request:6225|pull_request:7166" + ], + "prepared_review_unit_hash": "7298db4569d9fba545cf6cbd6ab1d3bee8d98f60022cfeb0f5f63ac73b2af15f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 103705, + "estimated_input_tokens": 25927, + "estimated_eval_tokens": 52110 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are mostly unrelated docs, tests, or feature PRs that only share a subsystem name. I reject all soft edges as non-duplicates; none look like the same underlying change or bug fix.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9408 is the most substantial, coherent merged code change in the set, with a direct issue target and broad implementation across docs, code, and tests, so it is the best single PR anchor if one must be chosen.", + "best_issue_reason": null, + "best_pr_reason": "PR 9408 is the strongest representative PR overall: it is a real feature addition, not just a docs/test tweak, and it has the clearest end-to-end scope among the candidates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9070", + "right": "pull_request:9408", + "accept": false, + "reason": "Both are FLUX-related, but one adds an img2img pipeline while the other adds ControlNet img2img/inpaint pipelines; different code paths and feature goals." + }, + { + "left": "pull_request:5448", + "right": "pull_request:5517", + "accept": false, + "reason": "One adds the LCM pipeline, the other adds a distillation training script; related domain, but not the same underlying change." + }, + { + "left": "pull_request:11571", + "right": "pull_request:12095", + "accept": false, + "reason": "Both touch LTX docs/pipelines, but one adds 0.9.7-distilled support and the other targets 0.9.8 with different pipeline behavior; distinct releases and changes." + }, + { + "left": "pull_request:4944", + "right": "pull_request:5915", + "accept": false, + "reason": "IP-Adapter support versus IP-Adapter Plus support are different loader/model capability changes, not the same bug fix." + }, + { + "left": "pull_request:5506", + "right": "pull_request:6225", + "accept": false, + "reason": "One fixes PEFT/xformers LoRA scaling behavior; the other fixes LoRA alpha parsing in training scripts. Different problems and code paths." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9993", + "accept": false, + "reason": "These are separate DreamBooth-related fixes in different model generations; one aligns Flux prompting logic, the other fixes SD3 checkpoint saving." + }, + { + "left": "pull_request:6267", + "right": "pull_request:6757", + "accept": false, + "reason": "One refactors K-diffusion pipeline placement, the other fixes sigma device placement. Not the same concrete bug or change." + }, + { + "left": "pull_request:6787", + "right": "pull_request:7062", + "accept": false, + "reason": "One fixes Marigold input normalization; the other corrects a community pipeline docstring. Different artifact types and purposes." + }, + { + "left": "pull_request:10968", + "right": "pull_request:11516", + "accept": false, + "reason": "Both are LTX releases, but they target different versions and add different pipeline/model capabilities; not a duplicate change." + }, + { + "left": "pull_request:5807", + "right": "pull_request:7062", + "accept": false, + "reason": "A community pipeline prompt-embedding enhancement and a docstring fix are unrelated changes." + }, + { + "left": "pull_request:10346", + "right": "pull_request:9881", + "accept": false, + "reason": "Optional IP-Adapter mask handling and XFormers attention processor support address different attention/load paths." + }, + { + "left": "pull_request:10063", + "right": "pull_request:9940", + "accept": false, + "reason": "One is an evaluation-doc nit fix; the other adjusts textual inversion loading/unloading behavior. Different scope and intent." + }, + { + "left": "pull_request:11243", + "right": "pull_request:11292", + "accept": false, + "reason": "Both are LoRA conversion utilities, but they convert different model families and handle different key-mapping problems." + }, + { + "left": "pull_request:11431", + "right": "pull_request:11451", + "accept": false, + "reason": "These add torch.compile tests for different transformer models; same testing theme, but not the same issue." + }, + { + "left": "pull_request:8572", + "right": "pull_request:9008", + "accept": false, + "reason": "Both are typo/formatting errata, but they touch different files and unrelated edits across docs/workflows." + }, + { + "left": "pull_request:12225", + "right": "pull_request:12249", + "accept": false, + "reason": "These add different pipelines for different products; they are not the same underlying feature." + }, + { + "left": "pull_request:10323", + "right": "pull_request:10402", + "accept": false, + "reason": "Quantization docs link cleanup and broken hunyuan docs links are separate documentation fixes." + }, + { + "left": "pull_request:2766", + "right": "pull_request:934", + "accept": false, + "reason": "Both update test expectations for MPS/torch behavior, but they are different test suites and fixes." + }, + { + "left": "pull_request:3170", + "right": "pull_request:5175", + "accept": false, + "reason": "A dependency pin and an HF_HOME CI permission tweak are unrelated setup/CI changes." + }, + { + "left": "pull_request:6714", + "right": "pull_request:6760", + "accept": false, + "reason": "One expands the slow-test matrix, the other adjusts IP-Adapter test expectations; 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Not the same concrete change." + }, + { + "left": "pull_request:4655", + "right": "pull_request:5747", + "accept": true, + "reason": "These appear to be the same `data_dir` dataset-loading fix in the same two training scripts, and the diffs are effectively identical; 5747 is the merged follow-up/canonical version." + }, + { + "left": "pull_request:4696", + "right": "pull_request:4946", + "accept": false, + "reason": "Related to T2I-Adapter docs/models, but one adds SDXL adapter support and the other updates the training overview entry. Too broad and not the same change." + }, + { + "left": "pull_request:5332", + "right": "pull_request:7124", + "accept": false, + "reason": "A typo fix in DreamBooth LoRA comments vs a kwarg rename in the SDXL DreamBooth callback. Different issues." + }, + { + "left": "pull_request:5626", + "right": "pull_request:5852", + "accept": false, + "reason": "CPU offload test cleanup vs PEFT backend CI workflow fix. Different subsystems and code paths." + }, + { + "left": "pull_request:5844", + "right": "pull_request:5982", + "accept": false, + "reason": "Both are docs additions, but one adds a Japanese SDXL reference and the other adds SDXL Turbo docs. Not the same underlying change." + }, + { + "left": "pull_request:6106", + "right": "pull_request:6403", + "accept": false, + "reason": "Same advanced training script, but different changes: fixing an example call vs adding WebUI-format support. Not mergeable as one duplicate." + }, + { + "left": "pull_request:6389", + "right": "pull_request:6475", + "accept": false, + "reason": "Stable Video Diffusion docs/type annotations, but one changes `noise_aug_strength` typing and the other fixes the VAE type docstring. Different bugs." + }, + { + "left": "pull_request:6403", + "right": "pull_request:6592", + "accept": false, + "reason": "WebUI format support for an SDXL training script vs a new inpainting training script. Different features." + }, + { + "left": "pull_request:6775", + "right": "pull_request:7360", + "accept": false, + "reason": "Both are scheduler docs tweaks, but they address different classes (`DDPMScheduler` missing param docs vs `TCDScheduler` copied-from/type docs)." + }, + { + "left": "pull_request:6775", + "right": "pull_request:7910", + "accept": false, + "reason": "Missing parameter docs for DDPM vs missing image processor docs. Unrelated documentation additions." + }, + { + "left": "pull_request:7495", + "right": "pull_request:8775", + "accept": false, + "reason": "Both touch READMEs with notebook links, but they are different projects and different link fixes." + }, + { + "left": "pull_request:7542", + "right": "pull_request:7544", + "accept": false, + "reason": "Both are CPU offload test fixes, but one corrects a typo calling the offload method and the other refactors assertion logic. Related area, not the same bug." + }, + { + "left": "pull_request:8923", + "right": "pull_request:9131", + "accept": false, + "reason": "CI/debug Hub issues vs a tokenizers version pin. Completely unrelated." + }, + { + "left": "pull_request:9070", + "right": "pull_request:9135", + "accept": false, + "reason": "PR 9135 is a larger FLUX feature PR adding img2img plus inpainting, while 9070 is only the img2img pipeline. Same family, different concrete change set." + }, + { + "left": "pull_request:9760", + "right": "pull_request:9775", + "accept": false, + "reason": "General README wording cleanup vs a Flux LoRA quantization README note. Not the same underlying change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and the only accepted pair (4655/5747) is a conservative same-fix match. The other soft-edge rejections are also appropriately cautious and do not overstate equivalence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 15, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10192", + "pull_request:10268", + "pull_request:10330", + "pull_request:10351", + "pull_request:10578", + "pull_request:1063", + "pull_request:10718", + "pull_request:10728", + "pull_request:10867", + "pull_request:10968", + "pull_request:11039", + "pull_request:11451", + "pull_request:11512", + "pull_request:11550", + "pull_request:11588", + "pull_request:11595", + "pull_request:11655", + "pull_request:11892", + "pull_request:12074", + "pull_request:12225", + "pull_request:12301", + "pull_request:12909", + "pull_request:12970", + "pull_request:3952", + "pull_request:4145", + "pull_request:4451", + "pull_request:4526", + "pull_request:4714", + "pull_request:4783", + "pull_request:5051", + "pull_request:5506", + "pull_request:5697", + "pull_request:5915", + "pull_request:6308", + "pull_request:6526", + "pull_request:6550", + "pull_request:6795", + "pull_request:6864", + "pull_request:7131", + "pull_request:7189", + "pull_request:8290", + "pull_request:8627", + "pull_request:8715", + "pull_request:8725", + "pull_request:8875", + "pull_request:948", + "pull_request:9985", + "pull_request:9987" + ], + "soft_pairs": [ + "pull_request:4783|pull_request:6864", + "pull_request:10192|pull_request:9985", + "pull_request:11451|pull_request:11512", + "pull_request:12225|pull_request:12301", + "pull_request:6526|pull_request:6550", + "pull_request:6795|pull_request:8715", + "pull_request:8290|pull_request:8627", + "pull_request:11588|pull_request:12074", + "pull_request:12909|pull_request:12970", + "pull_request:11039|pull_request:11892", + "pull_request:10330|pull_request:10968", + "pull_request:10578|pull_request:11655", + "pull_request:10728|pull_request:10867", + "pull_request:4451|pull_request:4526", + "pull_request:8725|pull_request:8875", + "pull_request:10351|pull_request:11595", + "pull_request:10718|pull_request:9987", + "pull_request:4714|pull_request:5506", + "pull_request:5915|pull_request:7189", + "pull_request:10268|pull_request:11550", + "pull_request:1063|pull_request:948", + "pull_request:3952|pull_request:4145", + "pull_request:5051|pull_request:7131", + "pull_request:5697|pull_request:6308" + ], + "prepared_review_unit_hash": "2924a07c54e8a2af202f5946cfa7ce80762405fcaaafe06ea4cc82802c5988a1", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 108461, + "estimated_input_tokens": 27116, + "estimated_eval_tokens": 54488 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a mix of related-but-distinct PRs across Flux, LTX, Qwen-Image, Wan, SD3, and LoRA/compile work. None of the soft pairs look like the same concrete bug or change, so all soft edges are rejected.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "If a single PR must represent the cluster, PR 9985 is the strongest candidate: it is the broadest and most central Flux feature PR here, with substantial review activity and downstream references. That said, it is not a duplicate of the others.", + "best_issue_reason": null, + "best_pr_reason": "PR 9985 is the best overall representative of the cluster because it has the widest scope, strongest discussion/review signal, and sits at the center of the Flux-related subcluster; the rest are narrower or unrelated follow-on changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4783", + "right": "pull_request:6864", + "accept": false, + "reason": "SDXL docs about forcing empty prompt embeddings vs a PEFT/torch.compile note; related docs, but not the same change or bug." + }, + { + "left": "pull_request:10192", + "right": "pull_request:9985", + "accept": false, + "reason": "Both are Flux-family additions, but one is Control/Inpaint support and the other is Fill/Canny/Depth/Redux; different features and code paths." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11512", + "accept": false, + "reason": "These are compile-test additions for different models (Wan vs LTX), not the same underlying fix." + }, + { + "left": "pull_request:12225", + "right": "pull_request:12301", + "accept": false, + "reason": "Qwen-Image edit inpaint pipeline vs Qwen-Image ControlNet inpaint pipeline; adjacent features, not duplicates." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6550", + "accept": false, + "reason": "Separate torch.compile compatibility updates for different training scripts; no shared concrete bug." + }, + { + "left": "pull_request:6795", + "right": "pull_request:8715", + "accept": false, + "reason": "Both touch SDXL training, but one adds micro-conditioning while the other adds clip_skip; distinct changes." + }, + { + "left": "pull_request:8290", + "right": "pull_request:8627", + "accept": false, + "reason": "A docs/refactor build-prs change versus an SD3 ControlNet feature PR; not the same artifact or fix." + }, + { + "left": "pull_request:11588", + "right": "pull_request:12074", + "accept": false, + "reason": "Both involve LoRA loading for newer models, but one is Wan I2V support and the other is Wan 2.2 second-denoiser loading; different code paths and goals." + }, + { + "left": "pull_request:12909", + "right": "pull_request:12970", + "accept": false, + "reason": "Wan context-parallel fix vs Qwen-Image context-parallel fix; same theme, different model-specific implementation." + }, + { + "left": "pull_request:11039", + "right": "pull_request:11892", + "accept": false, + "reason": "Single-file dtype/quantization handling vs removing k-diffusion dependency; unrelated changes." + }, + { + "left": "pull_request:10330", + "right": "pull_request:10968", + "accept": false, + "reason": "LTX 0.9.1 vs LTX 0.9.5 release updates; same product line but clearly different versioned upgrades and feature sets." + }, + { + "left": "pull_request:10578", + "right": "pull_request:11655", + "accept": false, + "reason": "Both touch LoRA loading for Flux-related models, but one is 4bit quantized Flux LoRA support and the other is bnb 8bit Flux Control LoRA support; not the same fix." + }, + { + "left": "pull_request:10728", + "right": "pull_request:10867", + "accept": false, + "reason": "Quantized Flux IP-Adapter handling vs multi IP-Adapter support for Flux pipelines; related subsystem, different problems." + }, + { + "left": "pull_request:4451", + "right": "pull_request:4526", + "accept": false, + "reason": "Both move tests to nightly, but they are separate sweeps across different test files and not one concrete change." + }, + { + "left": "pull_request:8725", + "right": "pull_request:8875", + "accept": false, + "reason": "PAG support for SD architecture vs PAG support for the ControlNet inpaint variant; adjacent feature work, not duplicates." + }, + { + "left": "pull_request:10351", + "right": "pull_request:11595", + "accept": false, + "reason": "A test-only fix in LoRA utilities vs a LoRA loading behavior fix for Flux; different scope and intent." + }, + { + "left": "pull_request:10718", + "right": "pull_request:9987", + "accept": false, + "reason": "SD3 IP-Adapter runtime checkpoint conversion vs SD3.5 IP-Adapter pipeline integration; same ecosystem, but not the same concrete change." + }, + { + "left": "pull_request:4714", + "right": "pull_request:5506", + "accept": false, + "reason": "Different attention/PEFT compatibility fixes: one for missing transformers error messaging, the other for xformers+PEFT scaling behavior." + }, + { + "left": "pull_request:5915", + "right": "pull_request:7189", + "accept": false, + "reason": "IP-Adapter Plus feature support vs a bugfix for using plus-version image embeds; related area, but not the same patch." + }, + { + "left": "pull_request:10268", + "right": "pull_request:11550", + "accept": false, + "reason": "Single-file support for Mochi transformer vs GGUF/single-file support for HiDream; both loaders, but entirely different models and mappings." + }, + { + "left": "pull_request:1063", + "right": "pull_request:948", + "accept": false, + "reason": "Two unrelated typo fixes in different parts of the codebase." + }, + { + "left": "pull_request:3952", + "right": "pull_request:4145", + "accept": false, + "reason": "Unrelated placeholder/test PRs around huggingface-hub version pinning and an UnCLIP demo draft; not the same change." + }, + { + "left": "pull_request:5051", + "right": "pull_request:7131", + "accept": false, + "reason": "Both are doc typo cleanups, but they target different documents and have no shared underlying bug or feature." + }, + { + "left": "pull_request:5697", + "right": "pull_request:6308", + "accept": false, + "reason": "Both are LoRA-related attention fixes, but one is xformers/PEFT scaling behavior and the other is dummy-component test setup; not the same concrete issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 16, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10005", + "pull_request:10188", + "pull_request:10246", + "pull_request:10255", + "pull_request:10279", + "pull_request:10316", + "pull_request:10323", + "pull_request:10351", + "pull_request:10465", + "pull_request:10524", + "pull_request:10854", + "pull_request:10858", + "pull_request:10911", + "pull_request:10995", + "pull_request:11505", + "pull_request:11655", + "pull_request:11786", + "pull_request:11823", + "pull_request:12041", + "pull_request:12562", + "pull_request:12660", + "pull_request:12737", + "pull_request:12739", + "pull_request:13212", + "pull_request:3847", + "pull_request:3921", + "pull_request:4276", + "pull_request:4632", + "pull_request:4847", + "pull_request:4944", + "pull_request:5887", + "pull_request:6215", + "pull_request:6550", + "pull_request:6576", + "pull_request:6729", + "pull_request:6759", + "pull_request:6864", + "pull_request:6939", + "pull_request:7246", + "pull_request:8630", + "pull_request:8685", + "pull_request:8691", + "pull_request:8875", + "pull_request:9086", + "pull_request:9290", + "pull_request:9463", + "pull_request:9751", + "pull_request:9827" + ], + "soft_pairs": [ + "pull_request:8630|pull_request:9086", + "pull_request:9086|pull_request:9290", + "pull_request:11655|pull_request:11823", + "pull_request:3921|pull_request:4847", + "pull_request:4944|pull_request:5887", + "pull_request:10351|pull_request:10911", + "pull_request:4632|pull_request:6759", + "pull_request:8691|pull_request:9827", + "pull_request:6729|pull_request:6939", + "pull_request:10465|pull_request:9751", + "pull_request:10854|pull_request:11786", + "pull_request:12739|pull_request:13212", + "pull_request:6550|pull_request:6576", + "pull_request:6864|pull_request:8685", + "pull_request:3847|pull_request:4276", + "pull_request:6215|pull_request:7246", + "pull_request:8875|pull_request:9463", + "pull_request:12041|pull_request:12562", + "pull_request:12660|pull_request:12737", + "pull_request:10005|pull_request:10246", + "pull_request:10188|pull_request:9827", + "pull_request:10255|pull_request:10995", + "pull_request:10279|pull_request:10858", + "pull_request:10316|pull_request:10524", + "pull_request:10323|pull_request:11505" + ], + "prepared_review_unit_hash": "52401c52269a91f0489cb0309dd82bd59d61f6351728f2a5b2fda870f7177236", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 96678, + "estimated_input_tokens": 24170, + "estimated_eval_tokens": 48596 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose set of unrelated docs, tests, LoRA loader, CI, and model-support PRs that only share broad themes like LoRA, docs, or FLUX. None of the soft-edge pairs look like the same underlying bug/change, so they should stay separate.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:8630", + "right": "pull_request:9086", + "accept": false, + "reason": "Different changes: SD3 DreamBooth CLIP text-encoder training vs FLUX DreamBooth/LoRA scripts." + }, + { + "left": "pull_request:9086", + "right": "pull_request:9290", + "accept": false, + "reason": "Both are FLUX DreamBooth-related, but one adds training scripts and the other only improves the README; not the same concrete change." + }, + { + "left": "pull_request:11655", + "right": "pull_request:11823", + "accept": false, + "reason": "Different features: Flux Control LoRA bnb-8bit support vs Fal Kontext LoRA conversion." + }, + { + "left": "pull_request:3921", + "right": "pull_request:4847", + "accept": false, + "reason": "Unrelated community examples/pipelines with different functionality and targets." + }, + { + "left": "pull_request:4944", + "right": "pull_request:5887", + "accept": false, + "reason": "Both touch IP-Adapter, but one is general support and the other is for ControlNet Inpaint; not the same code-path fix." + }, + { + "left": "pull_request:10351", + "right": "pull_request:10911", + "accept": false, + "reason": "Both are test fixes, but for different LoRA tests in different models." + }, + { + "left": "pull_request:4632", + "right": "pull_request:6759", + "accept": false, + "reason": "Different example fixes: SDXL LoRA checkpointing/casting vs InstantID prompt image embedding handling." + }, + { + "left": "pull_request:8691", + "right": "pull_request:9827", + "accept": false, + "reason": "Both involve LoRA loading, but one fixes vanilla fine-tuned LoRA loading while the other fixes device_map/offloading behavior." + }, + { + "left": "pull_request:6729", + "right": "pull_request:6939", + "accept": false, + "reason": "Both standardize model cards, but they affect different training scripts and are separate edits." + }, + { + "left": "pull_request:10465", + "right": "pull_request:9751", + "accept": false, + "reason": "Both are FLUX NPU adaptations, but they target different training scripts and different code paths." + }, + { + "left": "pull_request:10854", + "right": "pull_request:11786", + "accept": false, + "reason": "Completely different areas: test module rename vs big-GPU marker/CI changes." + }, + { + "left": "pull_request:12739", + "right": "pull_request:13212", + "accept": false, + "reason": "Different Z-Image issues: type-check export vs classifier-free guidance threshold logic." + }, + { + "left": "pull_request:6550", + "right": "pull_request:6576", + "accept": false, + "reason": "Both are torch.compile compatibility fixes, but for different example scripts and distinct problems." + }, + { + "left": "pull_request:6864", + "right": "pull_request:8685", + "accept": false, + "reason": "Both are docs-only, but they fix unrelated documentation topics." + }, + { + "left": "pull_request:3847", + "right": "pull_request:4276", + "accept": false, + "reason": "Different CI/testing changes: soft-dependency checks vs pipeline import tests." + }, + { + "left": "pull_request:6215", + "right": "pull_request:7246", + "accept": false, + "reason": "Different test fixes for different pipelines and failure modes." + }, + { + "left": "pull_request:8875", + "right": "pull_request:9463", + "accept": false, + "reason": "Both add PAG support, but for different pipelines and code paths; not mergeable as one duplicate PR." + }, + { + "left": "pull_request:12041", + "right": "pull_request:12562", + "accept": false, + "reason": "Wan VAE patchify fix vs context-parallel crash fix are unrelated." + }, + { + "left": "pull_request:12660", + "right": "pull_request:12737", + "accept": false, + "reason": "Both mention context parallel, but they fix different transformer models and different bugs." + }, + { + "left": "pull_request:10005", + "right": "pull_request:10246", + "accept": false, + "reason": "Unrelated docs additions for different API pages and different content." + }, + { + "left": "pull_request:10188", + "right": "pull_request:9827", + "accept": false, + "reason": "Both involve LoRA loading, but one addresses Flux mixed normal/expanding LoRAs and the other device_map handling; different bugs." + }, + { + "left": "pull_request:10255", + "right": "pull_request:10995", + "accept": false, + "reason": "Both tweak copied-from comments in lora_pipeline.py, but they are separate comment-cleanup changes with different scope." + }, + { + "left": "pull_request:10279", + "right": "pull_request:10858", + "accept": false, + "reason": "Both are quantization docs, but one fixes links in GGUF/overview docs and the other changes the pipeline overview table entry." + }, + { + "left": "pull_request:10316", + "right": "pull_request:10524", + "accept": false, + "reason": "Different documentation fixes for different pipeline pages." + }, + { + "left": "pull_request:10323", + "right": "pull_request:11505", + "accept": false, + "reason": "Both fix doc links, but they affect different sections and different link targets." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 17, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10394", + "pull_request:10418", + "pull_request:10434", + "pull_request:10632", + "pull_request:10845", + "pull_request:10978", + "pull_request:11537", + "pull_request:1178", + "pull_request:11825", + "pull_request:11954", + "pull_request:12827", + "pull_request:12971", + "pull_request:13071", + "pull_request:13082", + "pull_request:13253", + "pull_request:13346", + "pull_request:1437", + "pull_request:1967", + "pull_request:2381", + "pull_request:2391", + "pull_request:2541", + "pull_request:2566", + "pull_request:2677", + "pull_request:2678", + "pull_request:2764", + "pull_request:2825", + "pull_request:2839", + "pull_request:296", + "pull_request:3132", + "pull_request:3170", + "pull_request:3226", + "pull_request:3370", + "pull_request:3389", + "pull_request:3440", + "pull_request:3577", + "pull_request:3633", + "pull_request:3839", + "pull_request:4145", + "pull_request:4258", + "pull_request:4317", + "pull_request:4330", + "pull_request:4350", + "pull_request:4540", + "pull_request:4946", + "pull_request:5101", + "pull_request:948", + "pull_request:9655" + ], + "soft_pairs": [ + "pull_request:10394|pull_request:9655", + "pull_request:10418|pull_request:10434", + "pull_request:10632|pull_request:9655", + "pull_request:10845|pull_request:10978", + "pull_request:11537|pull_request:11954", + "pull_request:1178|pull_request:948", + "pull_request:11825|pull_request:11954", + "pull_request:12827|pull_request:12971", + "pull_request:13071|pull_request:13346", + "pull_request:13082|pull_request:13253", + "pull_request:1437|pull_request:948", + "pull_request:1967|pull_request:3170", + "pull_request:2381|pull_request:296", + "pull_request:2391|pull_request:2678", + "pull_request:2541|pull_request:2566", + "pull_request:2677|pull_request:3226", + "pull_request:2764|pull_request:3370", + "pull_request:2825|pull_request:4317", + "pull_request:2839|pull_request:4540", + "pull_request:3132|pull_request:3839", + "pull_request:3389|pull_request:3440", + "pull_request:3577|pull_request:5101", + "pull_request:3633|pull_request:4145", + "pull_request:4258|pull_request:4330", + "pull_request:4350|pull_request:4946" + ], + "prepared_review_unit_hash": "bcfc328e3aca427bf02b465f0af5c4c018df09f62a2024003543fae038d7f506", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 90256, + "estimated_input_tokens": 22564, + "estimated_eval_tokens": 45384 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly heterogeneous: docs typo/link fixes, test refactors, and unrelated code changes. Only one soft pair appears to be a true duplicate/final rework of the same fix (the tensorboard tracking call in the unconditional image training example).", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 2566 is the best canonical PR because it is the merged final version of the exact same tensorboard-tracking fix that PR 2541 attempted earlier.", + "best_issue_reason": null, + "best_pr_reason": "PR 2566 is the strongest representative artifact in the cluster because it is the finalized, merged instance of the only true duplicate pair.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10394", + "right": "pull_request:9655", + "accept": false, + "reason": "Both are docs fixes, but one is a PEFT link cleanup and the other is an xDiT image-path rewrite; different files and different underlying changes." + }, + { + "left": "pull_request:10418", + "right": "pull_request:10434", + "accept": false, + "reason": "Both touch docs links, but 10418 is a single internal-link correction while 10434 is a broad broken-link sweep across many pipeline docs; not the same change." + }, + { + "left": "pull_request:10632", + "right": "pull_request:9655", + "accept": false, + "reason": "One fixes an image URL in a para-attention doc; the other rewrites multiple xDiT doc assets. Same broad docs area, not the same bug/change." + }, + { + "left": "pull_request:10845", + "right": "pull_request:10978", + "accept": false, + "reason": "Flux training T5 embedding handling and OneTrainer LoRA conversion loading are different code paths and different fixes." + }, + { + "left": "pull_request:11537", + "right": "pull_request:11954", + "accept": false, + "reason": "These are unrelated test changes for different models and failure modes; they do not address the same underlying issue." + }, + { + "left": "pull_request:1178", + "right": "pull_request:948", + "accept": false, + "reason": "Both are typo fixes, but in different modules and eras; no shared underlying bug." + }, + { + "left": "pull_request:11825", + "right": "pull_request:11954", + "accept": false, + "reason": "A hotswapping+compilation doc/test addition is unrelated to Hunyuan Video test slices; different behavior and intent." + }, + { + "left": "pull_request:12827", + "right": "pull_request:12971", + "accept": false, + "reason": "Same file, but one fixes code-fence syntax while the other removes/repositions a section; they are separate documentation edits." + }, + { + "left": "pull_request:13071", + "right": "pull_request:13346", + "accept": false, + "reason": "Both refactor model tests, but for different transformer families and distinct test setups; not one concrete duplicate fix." + }, + { + "left": "pull_request:13082", + "right": "pull_request:13253", + "accept": false, + "reason": "Wan transformer refactor and Z-Image test refactor are different model/test changes with no shared bug." + }, + { + "left": "pull_request:1437", + "right": "pull_request:948", + "accept": false, + "reason": "Small typo fixes in different pipeline files; superficial similarity only." + }, + { + "left": "pull_request:1967", + "right": "pull_request:3170", + "accept": false, + "reason": "CPU/offload example code and dependency pinning are unrelated changes." + }, + { + "left": "pull_request:2381", + "right": "pull_request:296", + "accept": false, + "reason": "Dummy-import guard fixes for Stable Diffusion internals are unrelated to auth-token test updates." + }, + { + "left": "pull_request:2391", + "right": "pull_request:2678", + "accept": false, + "reason": "Both are test tweaks, but they target different suites and different failures; not mergeable as one fix." + }, + { + "left": "pull_request:2541", + "right": "pull_request:2566", + "accept": true, + "reason": "Both diffs make the same tensorboard tracker call change in the same training script; 2566 is the merged final version of that exact fix." + }, + { + "left": "pull_request:2677", + "right": "pull_request:3226", + "accept": false, + "reason": "One adds a training-doc entry and the other adds ControlNet v1.1 pipeline docs; different documentation tasks." + }, + { + "left": "pull_request:2764", + "right": "pull_request:3370", + "accept": false, + "reason": "Both update the torch2.0 doc, but they are distinct content revisions rather than the same underlying change." + }, + { + "left": "pull_request:2825", + "right": "pull_request:4317", + "accept": false, + "reason": "Dreambooth offset-noise support and validation-option handling are separate training-example fixes." + }, + { + "left": "pull_request:2839", + "right": "pull_request:4540", + "accept": false, + "reason": "Both touch example READMEs, but they add different example references and are not the same change." + }, + { + "left": "pull_request:3132", + "right": "pull_request:3839", + "accept": false, + "reason": "A type annotation typo in ScoreSdeVe is unrelated to adding an optional noise argument in the scheduler." + }, + { + "left": "pull_request:3389", + "right": "pull_request:3440", + "accept": false, + "reason": "Both are CI/integration-test related, but they target different workflows and different goals." + }, + { + "left": "pull_request:3577", + "right": "pull_request:5101", + "accept": false, + "reason": "Broken README links and SDXL refine-doc link updates are separate docs fixes in different files." + }, + { + "left": "pull_request:3633", + "right": "pull_request:4145", + "accept": false, + "reason": "Dependency-version testing and UnCLIP constructor comment-outs are unrelated and not the same bug/change." + }, + { + "left": "pull_request:4258", + "right": "pull_request:4330", + "accept": false, + "reason": "Both edit the SDXL DreamBooth README, but one changes the hyperparameter note and the other corrects the header; separate edits." + }, + { + "left": "pull_request:4350", + "right": "pull_request:4946", + "accept": false, + "reason": "A dtype fix in adapter docs and adding a training-overview entry are different docs changes." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft-edge pairs. The only accepted duplicate pair, 2541/2566, is well supported as the same tracker-call fix with 2566 as the merged follow-up. The other verdicts are appropriately rejected as distinct docs/test/code changes rather than the same bugfix." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 18, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11532", + "pull_request:11823", + "pull_request:12170", + "pull_request:12269", + "pull_request:2602", + "pull_request:3127", + "pull_request:3128", + "pull_request:4513", + "pull_request:4574", + "pull_request:4596", + "pull_request:4607", + "pull_request:4707", + "pull_request:4717", + "pull_request:4795", + "pull_request:4946", + "pull_request:5298", + "pull_request:5626", + "pull_request:5697", + "pull_request:5750", + "pull_request:5871", + "pull_request:6017", + "pull_request:6018", + "pull_request:6100", + "pull_request:6106", + "pull_request:6122", + "pull_request:6209", + "pull_request:6225", + "pull_request:6282", + "pull_request:6403", + "pull_request:6405", + "pull_request:6604", + "pull_request:6729", + "pull_request:6941", + "pull_request:7118", + "pull_request:7150", + "pull_request:7260", + "pull_request:7360", + "pull_request:7451", + "pull_request:7495", + "pull_request:7542", + "pull_request:7613", + "pull_request:7827", + "pull_request:7910", + "pull_request:8775", + "pull_request:9005", + "pull_request:9152", + "pull_request:9255", + "pull_request:9274" + ], + "soft_pairs": [ + "pull_request:4513|pull_request:5871", + "pull_request:4574|pull_request:6209", + "pull_request:4596|pull_request:5750", + "pull_request:4607|pull_request:4946", + "pull_request:4707|pull_request:6106", + "pull_request:4707|pull_request:6282", + "pull_request:4717|pull_request:6604", + "pull_request:5626|pull_request:7827", + "pull_request:6017|pull_request:6405", + "pull_request:6018|pull_request:6405", + "pull_request:6100|pull_request:6403", + "pull_request:6122|pull_request:7451", + "pull_request:6209|pull_request:7495", + "pull_request:6941|pull_request:7260", + "pull_request:7150|pull_request:9152", + "pull_request:7360|pull_request:7910", + "pull_request:7542|pull_request:7827", + "pull_request:8775|pull_request:9152", + "pull_request:9005|pull_request:9274", + "pull_request:9255|pull_request:9274", + "pull_request:11532|pull_request:12170", + "pull_request:6729|pull_request:7613", + "pull_request:2602|pull_request:4513", + "pull_request:3127|pull_request:3128", + "pull_request:4795|pull_request:5298", + "pull_request:6122|pull_request:7118", + "pull_request:5697|pull_request:6225", + "pull_request:11823|pull_request:12269" + ], + "prepared_review_unit_hash": "f3d9b78b01899e6c3ebba1d5d1e723d021be0ddb65f164997131d126d9b7dea3", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 96264, + "estimated_input_tokens": 24066, + "estimated_eval_tokens": 48388 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft pair looks like a true duplicate change. Most pairs are adjacent docs, workflow, or feature PRs that happen to touch the same area but fix different concrete problems. The clearest standalone bugfix in the set is the PEFT/xFormers LoRA fix.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5697 is the strongest canonical candidate: it is a merged, concrete runtime bugfix with an explicit issue target and a single code-path change.", + "best_issue_reason": null, + "best_pr_reason": "PR 5697 is the best standalone PR here because it addresses a specific failure mode in attention/LoRA handling, rather than a docs, CI, or feature-only change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4513", + "right": "pull_request:5871", + "accept": false, + "reason": "Unrelated prerelease dependency pinning vs deprecated-scheduler docs cleanup; not the same change." + }, + { + "left": "pull_request:4574", + "right": "pull_request:6209", + "accept": false, + "reason": "Both touch README examples, but they fix different docs in different examples and different issues." + }, + { + "left": "pull_request:4596", + "right": "pull_request:5750", + "accept": false, + "reason": "One adds an SDXL conversion script; the other is an unrelated placeholder/reference PR." + }, + { + "left": "pull_request:4607", + "right": "pull_request:4946", + "accept": false, + "reason": "Different documentation scopes: API overview pages vs training overview content." + }, + { + "left": "pull_request:4707", + "right": "pull_request:6106", + "accept": false, + "reason": "Different training-script edits for different problems; not one underlying bug or change." + }, + { + "left": "pull_request:4707", + "right": "pull_request:6282", + "accept": false, + "reason": "Custom diffusion README fixes are unrelated to the dreambooth runtime fix." + }, + { + "left": "pull_request:4717", + "right": "pull_request:6604", + "accept": false, + "reason": "ControlNet docs typo fix and AutoencoderKL API docs fix are unrelated." + }, + { + "left": "pull_request:5626", + "right": "pull_request:7827", + "accept": false, + "reason": "One fixes a test assertion, the other a docstring example; same theme but not the same change." + }, + { + "left": "pull_request:6017", + "right": "pull_request:6405", + "accept": false, + "reason": "Doc-builder test PR vs workflow config change; clearly different changes." + }, + { + "left": "pull_request:6018", + "right": "pull_request:6405", + "accept": false, + "reason": "Same as above: unrelated doc-builder test PR and workflow edit." + }, + { + "left": "pull_request:6100", + "right": "pull_request:6403", + "accept": false, + "reason": "Both touch the same file, but one adds widget text while the other adds WebUI format support; different changes." + }, + { + "left": "pull_request:6122", + "right": "pull_request:7451", + "accept": false, + "reason": "Both are broad typo/doc sweeps, but they affect different pages and different wording." + }, + { + "left": "pull_request:6209", + "right": "pull_request:7495", + "accept": false, + "reason": "Text-to-image README test-script fixes and advanced-training Colab link fixes are unrelated." + }, + { + "left": "pull_request:6941", + "right": "pull_request:7260", + "accept": false, + "reason": "Both involve IP-Adapter support, but for different pipelines and code paths." + }, + { + "left": "pull_request:7150", + "right": "pull_request:9152", + "accept": false, + "reason": "Callback example cleanup is unrelated to the distributed-inference docs expansion." + }, + { + "left": "pull_request:7360", + "right": "pull_request:7910", + "accept": false, + "reason": "Scheduler doc fixes vs image-processor docs additions are not the same underlying issue." + }, + { + "left": "pull_request:7542", + "right": "pull_request:7827", + "accept": false, + "reason": "Test typo fix and docstring offload example are different edits." + }, + { + "left": "pull_request:8775", + "right": "pull_request:9152", + "accept": false, + "reason": "Colab-link docs change and distributed-inference docs change do not fix the same bug or feature." + }, + { + "left": "pull_request:9005", + "right": "pull_request:9274", + "accept": false, + "reason": "Both touch CI workflows, but they are different runner/release-test refactors rather than one merged change." + }, + { + "left": "pull_request:9255", + "right": "pull_request:9274", + "accept": false, + "reason": "Related release-branch CI work, but 9274 rewrites the approach instead of being the same concrete change." + }, + { + "left": "pull_request:11532", + "right": "pull_request:12170", + "accept": false, + "reason": "HiDream LoRA conversion and Qwen LoRA conversion are different model-family support paths." + }, + { + "left": "pull_request:6729", + "right": "pull_request:7613", + "accept": false, + "reason": "Both standardize model cards, but for different training scripts and different outputs." + }, + { + "left": "pull_request:2602", + "right": "pull_request:4513", + "accept": false, + "reason": "Different dependency pins for different packages; not a duplicate bug or change." + }, + { + "left": "pull_request:3127", + "right": "pull_request:3128", + "accept": false, + "reason": "Img2img safety-checker handling and img2img timestep selection are separate bugs." + }, + { + "left": "pull_request:4795", + "right": "pull_request:5298", + "accept": false, + "reason": "Both are torch.compile fixes, but they target different modules and code paths." + }, + { + "left": "pull_request:6122", + "right": "pull_request:7118", + "accept": false, + "reason": "Both are docs typo sweeps, but they cover different pages and different examples." + }, + { + "left": "pull_request:5697", + "right": "pull_request:6225", + "accept": false, + "reason": "Different LoRA bugs: one is xFormers/PEFT backend handling, the other is alpha parsing in training scripts." + }, + { + "left": "pull_request:11823", + "right": "pull_request:12269", + "accept": false, + "reason": "Same broader Kontext naming, but one adds LoRA conversion support while the other adds modular pipeline support; not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 19, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10494", + "pull_request:10759", + "pull_request:10943", + "pull_request:10951", + "pull_request:11025", + "pull_request:11059", + "pull_request:11522", + "pull_request:11835", + "pull_request:11994", + "pull_request:12074", + "pull_request:12395", + "pull_request:12397", + "pull_request:1937", + "pull_request:3080", + "pull_request:3587", + "pull_request:399", + "pull_request:4278", + "pull_request:4595", + "pull_request:4596", + "pull_request:5033", + "pull_request:5298", + "pull_request:5750", + "pull_request:5914", + "pull_request:6140", + "pull_request:6217", + "pull_request:6550", + "pull_request:6573", + "pull_request:6577", + "pull_request:6729", + "pull_request:6908", + "pull_request:6909", + "pull_request:6910", + "pull_request:6946", + "pull_request:7189", + "pull_request:7226", + "pull_request:7467", + "pull_request:7919", + "pull_request:7934", + "pull_request:821", + "pull_request:8422", + "pull_request:8932", + "pull_request:9086", + "pull_request:9160", + "pull_request:9601", + "pull_request:9682", + "pull_request:9827", + "pull_request:9993" + ], + "soft_pairs": [ + "pull_request:6946|pull_request:7189", + "pull_request:12395|pull_request:12397", + "pull_request:5914|pull_request:7467", + "pull_request:6140|pull_request:7226", + "pull_request:6550|pull_request:6577", + "pull_request:6729|pull_request:6910", + "pull_request:9086|pull_request:9160", + "pull_request:11835|pull_request:11994", + "pull_request:4595|pull_request:5750", + "pull_request:4278|pull_request:5033", + "pull_request:6573|pull_request:7189", + "pull_request:9682|pull_request:9993", + "pull_request:6729|pull_request:6908", + "pull_request:6729|pull_request:6909", + "pull_request:6573|pull_request:6946", + "pull_request:11025|pull_request:12074", + "pull_request:1937|pull_request:3080", + "pull_request:7919|pull_request:9827", + "pull_request:7934|pull_request:9601", + "pull_request:8422|pull_request:8932", + "pull_request:10494|pull_request:11522", + "pull_request:3587|pull_request:4596", + "pull_request:5298|pull_request:6217", + "pull_request:10943|pull_request:11059", + "pull_request:10759|pull_request:10951", + "pull_request:399|pull_request:821" + ], + "prepared_review_unit_hash": "00dcca80d4e4eea5709bfcc211554673a815c8ab16011015857fe1b49b157559", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 102412, + "estimated_input_tokens": 25603, + "estimated_eval_tokens": 51462 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose mix of unrelated PRs; several are in the same subsystem (LoRA/IP-Adapter/Wan/CI) but they fix different concrete problems or add different features. No soft edge looks like a true duplicate/merge candidate.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 6573 is the broadest and most central change in the set, with very high review activity and a substantial loader/pipeline impact, so it is the best single representative PR here.", + "best_issue_reason": null, + "best_pr_reason": "PR 6573 is the strongest representative of the cluster because it spans core IP-Adapter behavior across many pipelines and has the deepest review/discussion footprint.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6946", + "right": "pull_request:7189", + "accept": false, + "reason": "Both touch IP-Adapter, but 6946 is about low_cpu_mem_usage loading, while 7189 fixes embed repetition for Plus variants; different bugs and code paths." + }, + { + "left": "pull_request:12395", + "right": "pull_request:12397", + "accept": false, + "reason": "Both modify CI install steps, but one installs prerelease hub deps for transformers-main testing while the other disables main installs; not the same change." + }, + { + "left": "pull_request:5914", + "right": "pull_request:7467", + "accept": false, + "reason": "SDXL README template cleanup is unrelated to tag shuffling/drop augmentation in LoRA training." + }, + { + "left": "pull_request:6140", + "right": "pull_request:7226", + "accept": false, + "reason": "One adds IP-Adapter API docs, the other expands IP-Adapter embedding support and docs; adjacent, but not the same underlying fix." + }, + { + "left": "pull_request:6550", + "right": "pull_request:6577", + "accept": false, + "reason": "Both are torch.compile compatibility patches, but they target different training scripts and model hooks." + }, + { + "left": "pull_request:6729", + "right": "pull_request:6910", + "accept": false, + "reason": "Both standardize controlnet-style model cards, but for different training scripts and repositories; separate PRs, not one bugfix." + }, + { + "left": "pull_request:9086", + "right": "pull_request:9160", + "accept": false, + "reason": "9086 introduces Flux DreamBooth/LoRA scripts, while 9160 adds latent caching and related training behavior; different features." + }, + { + "left": "pull_request:11835", + "right": "pull_request:11994", + "accept": false, + "reason": "One fixes float16 CUDA test behavior, the other updates hub login/transformers-main CI; unrelated." + }, + { + "left": "pull_request:4595", + "right": "pull_request:5750", + "accept": false, + "reason": "Different unmerged WIP docs/code topics with no shared concrete fix." + }, + { + "left": "pull_request:4278", + "right": "pull_request:5033", + "accept": false, + "reason": "Both are inpainting-related, but they fix different pipelines and different failure modes." + }, + { + "left": "pull_request:6573", + "right": "pull_request:7189", + "accept": false, + "reason": "6573 adds multi-IP-Adapter support broadly; 7189 fixes Plus-embed handling. Same area, different concrete change." + }, + { + "left": "pull_request:9682", + "right": "pull_request:9993", + "accept": false, + "reason": "Both touch SD3 DreamBooth LoRA, but one adds latent caching/updates while the other fixes checkpoint saving logic." + }, + { + "left": "pull_request:6729", + "right": "pull_request:6908", + "accept": false, + "reason": "General model-card standardization versus a specific ControlNet SDXL variant; not the same underlying change." + }, + { + "left": "pull_request:6729", + "right": "pull_request:6909", + "accept": false, + "reason": "General model-card standardization versus a specific ControlNet Flax variant; separate scripts and edits." + }, + { + "left": "pull_request:6573", + "right": "pull_request:6946", + "accept": false, + "reason": "Both involve IP-Adapter, but one is multi-adapter support and the other is low-memory loading; different fixes." + }, + { + "left": "pull_request:11025", + "right": "pull_request:12074", + "accept": false, + "reason": "Both are Wan LoRA work, but 11025 adds non-diffusers Wan i2v conversion while 12074 adds second-denoiser loading and LightX2V support; not mergeable as one PR." + }, + { + "left": "pull_request:1937", + "right": "pull_request:3080", + "accept": false, + "reason": "EMA extraction logic and None-function saving are unrelated conversion/pipeline fixes." + }, + { + "left": "pull_request:7919", + "right": "pull_request:9827", + "accept": false, + "reason": "Both mention device_map/offload behavior, but they fix different loader paths and different failure modes." + }, + { + "left": "pull_request:7934", + "right": "pull_request:9601", + "accept": false, + "reason": "Single-file dict config handling is unrelated to SD3 VAE dtype handling under mixed precision." + }, + { + "left": "pull_request:8422", + "right": "pull_request:8932", + "accept": false, + "reason": "One adds subfolder-loading tests, the other adds temporal transformer coverage; different test targets." + }, + { + "left": "pull_request:10494", + "right": "pull_request:11522", + "accept": false, + "reason": "CI tokenizers install behavior and AudioLDM2 transformers-main compatibility are different problems." + }, + { + "left": "pull_request:3587", + "right": "pull_request:4596", + "accept": false, + "reason": "Community pipeline docs/code and the SDXL conversion script are unrelated." + }, + { + "left": "pull_request:5298", + "right": "pull_request:6217", + "accept": false, + "reason": "Torch.compile fix for LoRA conv layers is unrelated to torch.compile support for Stable Video Diffusion VAE." + }, + { + "left": "pull_request:10943", + "right": "pull_request:11059", + "accept": false, + "reason": "11059 is a follow-up for non-diffusers Wan T2V LoRAs, while 10943 is the broader Wan LoRA enablement; 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unrelated changes." + }, + { + "left": "pull_request:3642", + "right": "pull_request:4465", + "accept": false, + "reason": "TensorRT inpainting pipeline vs ONNX/TensorRT conversion tools; different concrete changes." + }, + { + "left": "pull_request:3680", + "right": "pull_request:5986", + "accept": false, + "reason": "Different docs link fixes on different pages and for different media." + }, + { + "left": "pull_request:377", + "right": "pull_request:386", + "accept": false, + "reason": "Latent Diffusion docs vs Stable Diffusion docs; separate documentation pages." + }, + { + "left": "pull_request:4113", + "right": "pull_request:5675", + "accept": false, + "reason": "Different bugs in different pipelines: inpaint dtype handling vs Flax NSFW filter exception." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 22, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:4145", + "pull_request:4211", + "pull_request:4278", + "pull_request:4540", + "pull_request:4564", + "pull_request:4574", + "pull_request:4582", + "pull_request:4612", + "pull_request:4644", + "pull_request:4717", + "pull_request:4745", + "pull_request:4797", + "pull_request:4946", + "pull_request:5035", + "pull_request:5175", + "pull_request:5207", + "pull_request:5411", + "pull_request:5499", + "pull_request:5626", + "pull_request:5699", + "pull_request:5754", + "pull_request:5986", + "pull_request:6045", + "pull_request:6225", + "pull_request:6308", + "pull_request:6340", + "pull_request:6402", + "pull_request:6534", + "pull_request:6680", + "pull_request:6871", + "pull_request:7182", + "pull_request:7335", + "pull_request:7542", + "pull_request:7764", + "pull_request:7857", + "pull_request:7868", + "pull_request:8470", + "pull_request:8630", + "pull_request:869", + "pull_request:8715", + "pull_request:8720", + "pull_request:874", + "pull_request:8791", + "pull_request:903", + "pull_request:904", + "pull_request:9066", + "pull_request:9775" + ], + "soft_pairs": [ + "pull_request:4145|pull_request:5175", + "pull_request:4211|pull_request:4582", + "pull_request:4540|pull_request:4574", + "pull_request:4564|pull_request:4644", + "pull_request:4582|pull_request:4717", + "pull_request:4612|pull_request:5499", + "pull_request:4797|pull_request:6402", + "pull_request:4946|pull_request:5207", + "pull_request:5035|pull_request:6045", + "pull_request:5411|pull_request:5986", + "pull_request:5626|pull_request:7335", + "pull_request:5699|pull_request:5754", + "pull_request:6225|pull_request:6308", + "pull_request:6340|pull_request:7764", + "pull_request:6534|pull_request:8630", + "pull_request:6680|pull_request:8720", + "pull_request:6871|pull_request:8791", + "pull_request:7182|pull_request:8715", + "pull_request:7542|pull_request:7868", + "pull_request:7857|pull_request:9066", + "pull_request:8470|pull_request:9775", + "pull_request:869|pull_request:874", + "pull_request:903|pull_request:904", + "pull_request:4278|pull_request:4745" + ], + "prepared_review_unit_hash": "48a559d5e483985ed154c8b48baf404a74987e32ef3108cf5f051b3310999f1c", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 95791, + "estimated_input_tokens": 23948, + "estimated_eval_tokens": 48152 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated docs, tests, and training/pipeline PRs that only share broad keywords like SDXL, ControlNet, LoRA, or CPU offload. I don\u2019t see any pair that looks like the same underlying bug or change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "PR 4745 is the strongest standalone fix: it corrects a concrete loading bug in `from_pretrained`, has clear code-path impact, and includes regression tests. It\u2019s still not a canonical duplicate target for the rest of the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4145", + "right": "pull_request:5175", + "accept": false, + "reason": "UnCLIP constructor comment-only draft vs an HF_HOME CI env change; no shared bug/change." + }, + { + "left": "pull_request:4211", + "right": "pull_request:4582", + "accept": false, + "reason": "Different doc fixes in different areas: SDXL img2img/inpaint docstring text vs ControlNet SDXL docstring example." + }, + { + "left": "pull_request:4540", + "right": "pull_request:4574", + "accept": false, + "reason": "One adds a Colab link to DreamBooth README; the other updates InstructPix2Pix README mentions/push_to_hub. Unrelated." + }, + { + "left": "pull_request:4564", + "right": "pull_request:4644", + "accept": false, + "reason": "Both touch `controlnet_sdxl.md`, but one renames the model card/repo and the other rewrites the overview text. Different edits." + }, + { + "left": "pull_request:4582", + "right": "pull_request:4717", + "accept": false, + "reason": "ControlNet SDXL docstring example fix vs missing closing Tip tag in training docs; unrelated changes." + }, + { + "left": "pull_request:4612", + "right": "pull_request:5499", + "accept": false, + "reason": "Both are link fixes, but 4612 only updates one doc while 5499 is a broad cross-doc path cleanup. Not the same change." + }, + { + "left": "pull_request:4797", + "right": "pull_request:6402", + "accept": false, + "reason": "Both involve LoRA training, but 4797 fixes SGM block mapping while 6402 restores gradient checkpointing. Different bugs." + }, + { + "left": "pull_request:4946", + "right": "pull_request:5207", + "accept": false, + "reason": "Training overview TOC update vs a t2i adapter README filename correction; only loosely related docs." + }, + { + "left": "pull_request:5035", + "right": "pull_request:6045", + "accept": false, + "reason": "Import-cleanup to avoid forcing transformers vs LoRA linear layer handling. Different code paths and goals." + }, + { + "left": "pull_request:5411", + "right": "pull_request:5986", + "accept": false, + "reason": "Textual inversion doc link fix vs SVD video link fix; both docs-only but unrelated content." + }, + { + "left": "pull_request:5626", + "right": "pull_request:7335", + "accept": false, + "reason": "CPU offload test assertion cleanup vs ControlNet SDXL config test. Different tests and failure modes." + }, + { + "left": "pull_request:5699", + "right": "pull_request:5754", + "accept": false, + "reason": "Both are style cleanups, but they touch different pipelines/scripts and do not fix the same issue." + }, + { + "left": "pull_request:6225", + "right": "pull_request:6308", + "accept": false, + "reason": "Both are LoRA/PEFT-related, but one fixes alpha parsing and the other adjusts dummy components in tests. Distinct changes." + }, + { + "left": "pull_request:6340", + "right": "pull_request:7764", + "accept": false, + "reason": "AnimateDiff conversion scripts are shared, but one adds the scripts and the other adds safetensor loading support. Not the same fix." + }, + { + "left": "pull_request:6534", + "right": "pull_request:8630", + "accept": false, + "reason": "Torch.compile compatibility in DreamBooth LoRA vs SD3 text-encoder training support. Different feature work." + }, + { + "left": "pull_request:6680", + "right": "pull_request:8720", + "accept": false, + "reason": "Both are slow-test precision/stability fixes, but they target different tests and issues." + }, + { + "left": "pull_request:6871", + "right": "pull_request:8791", + "accept": false, + "reason": "Both add VAE tiling-related support, but for different pipelines/models and code paths." + }, + { + "left": "pull_request:7182", + "right": "pull_request:8715", + "accept": false, + "reason": "EDM-style training support vs adding `clip_skip`; both to the same advanced script but clearly separate features." + }, + { + "left": "pull_request:7542", + "right": "pull_request:7868", + "accept": false, + "reason": "Both touch offload tests, but one fixes a typo and the other changes execution-device assertions. Different problems." + }, + { + "left": "pull_request:7857", + "right": "pull_request:9066", + "accept": false, + "reason": "Separate docs additions for PixArt Sigma and Stable Cascade; no shared underlying change." + }, + { + "left": "pull_request:8470", + "right": "pull_request:9775", + "accept": false, + "reason": "Different README updates for different research projects; unrelated content." + }, + { + "left": "pull_request:869", + "right": "pull_request:874", + "accept": false, + "reason": "Community README improvements, but one fixes an import bug and the other adds an example section. Not the same change." + }, + { + "left": "pull_request:903", + "right": "pull_request:904", + "accept": false, + "reason": "One deprecates the legacy inpaint pipeline; the other changes the inpaint implementation itself. Related area, but not the same fix." + }, + { + "left": "pull_request:4278", + "right": "pull_request:4745", + "accept": false, + "reason": "Both affect Stable Diffusion pipeline behavior, but one fixes `prompt=None` input validation and the other fixes optional-component loading in `from_pretrained`." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 23, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10261", + "pull_request:10351", + "pull_request:10352", + "pull_request:10728", + "pull_request:11025", + "pull_request:11243", + "pull_request:11726", + "pull_request:12086", + "pull_request:12170", + "pull_request:12416", + "pull_request:12714", + "pull_request:13100", + "pull_request:13119", + "pull_request:13148", + "pull_request:3742", + "pull_request:3877", + "pull_request:4062", + "pull_request:4597", + "pull_request:4749", + "pull_request:4847", + "pull_request:4899", + "pull_request:5608", + "pull_request:5914", + "pull_request:5938", + "pull_request:6303", + "pull_request:6402", + "pull_request:6564", + "pull_request:6691", + "pull_request:6816", + "pull_request:7018", + "pull_request:7058", + "pull_request:7086", + "pull_request:7166", + "pull_request:7182", + "pull_request:7235", + "pull_request:7277", + "pull_request:7326", + "pull_request:7372", + "pull_request:8630", + "pull_request:8755", + "pull_request:9086", + "pull_request:9257", + "pull_request:9346", + "pull_request:9355", + "pull_request:9646", + "pull_request:9838", + "pull_request:9993" + ], + "soft_pairs": [ + "pull_request:4847|pull_request:6303", + "pull_request:9646|pull_request:9838", + "pull_request:12086|pull_request:12416", + "pull_request:6564|pull_request:7086", + "pull_request:3877|pull_request:4749", + "pull_request:10351|pull_request:10352", + "pull_request:12714|pull_request:13119", + "pull_request:6691|pull_request:7182", + "pull_request:6816|pull_request:8755", + "pull_request:7235|pull_request:9257", + "pull_request:10261|pull_request:10728", + "pull_request:8630|pull_request:9993", + "pull_request:3742|pull_request:4062", + "pull_request:11025|pull_request:11726", + "pull_request:4597|pull_request:5938", + "pull_request:11243|pull_request:12170", + "pull_request:13100|pull_request:13148", + "pull_request:5914|pull_request:6402", + "pull_request:7372|pull_request:9086", + "pull_request:9346|pull_request:9355", + "pull_request:7018|pull_request:7166", + "pull_request:7277|pull_request:7326", + "pull_request:4597|pull_request:4899", + "pull_request:5608|pull_request:7058" + ], + "prepared_review_unit_hash": "836dd27e31c33d959ad21715cc56d221e1112afbe12f10c8350a22f267525360", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 100507, + "estimated_input_tokens": 25127, + "estimated_eval_tokens": 50510 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: most PRs are unrelated feature additions or small fixes across Flux, Wan, Shap-E, ControlNet, SDXL/SD3 DreamBooth, docs, and tests. The soft edges are mostly driven by shared filenames or subsystem overlap, not the same underlying bug/change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true duplicate PR stands out; if a representative is needed, #10261 is the broadest merged Flux PR in the set, but it is not a duplicate of the others.", + "best_issue_reason": null, + "best_pr_reason": "#10261 is the most substantial and central PR here, but only as a loose cluster representative, not as a duplicate anchor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4847", + "right": "pull_request:6303", + "accept": false, + "reason": "Different community examples and goals: Prompt Free Diffusion vs ADD training scripts." + }, + { + "left": "pull_request:9646", + "right": "pull_request:9838", + "accept": false, + "reason": "Both are Flux training-related, but one changes configurable LoRA target modules while the other fixes a memory/repetition bug; not the same change." + }, + { + "left": "pull_request:12086", + "right": "pull_request:12416", + "accept": false, + "reason": "Different model families and features: modular Flux I2I vs QwenImage Edit Plus support." + }, + { + "left": "pull_request:6564", + "right": "pull_request:7086", + "accept": false, + "reason": "IP Adapter path fix and AnimateDiff img2vid/controlnet bugfix are unrelated." + }, + { + "left": "pull_request:3877", + "right": "pull_request:4749", + "accept": false, + "reason": "SDXL LoRA training script work is broad, but these PRs address different issues: a WIP example vs checkpointing fix." + }, + { + "left": "pull_request:10351", + "right": "pull_request:10352", + "accept": false, + "reason": "Unrelated test fixes in different areas: LoRA utils vs CogVideoX embeddings." + }, + { + "left": "pull_request:12714", + "right": "pull_request:13119", + "accept": false, + "reason": "Both touch Flux2 LoRA tests/conversion, but one fixes a NaN test and the other fixes key normalization for non-diffusers LoRAs." + }, + { + "left": "pull_request:6691", + "right": "pull_request:7182", + "accept": false, + "reason": "Same advanced SDXL training area, but one is a broader feature+bugfix PR and the other adds EDM-style training; not the same underlying change." + }, + { + "left": "pull_request:6816", + "right": "pull_request:8755", + "accept": false, + "reason": "Different scripts and problems: SDXL DDP/PEFT fix vs SD3 text-encoder training bug." + }, + { + "left": "pull_request:7235", + "right": "pull_request:9257", + "accept": false, + "reason": "Different models and codepaths: SDXL DoRA training docs vs Flux DreamBooth tokenizer/prompt handling." + }, + { + "left": "pull_request:10261", + "right": "pull_request:10728", + "accept": false, + "reason": "Same Flux/IP-Adapter area, but #10261 is the original support PR and #10728 is a follow-up quantization-related tweak." + }, + { + "left": "pull_request:8630", + "right": "pull_request:9993", + "accept": false, + "reason": "Same SD3 DreamBooth script, but one adds text-encoder training and the other fixes checkpoint saving logic." + }, + { + "left": "pull_request:3742", + "right": "pull_request:4062", + "accept": false, + "reason": "#4062 extends Shap-E with mesh output, but it is not the same underlying change as the original Shap-E addition." + }, + { + "left": "pull_request:11025", + "right": "pull_request:11726", + "accept": false, + "reason": "Both are Wan LoRA converters, but they address different Wan variants and conversion bugs; too broad to merge as duplicates." + }, + { + "left": "pull_request:4597", + "right": "pull_request:5938", + "accept": false, + "reason": "Both involve ControlNet, but one adds MultiControlNet SDXL support and the other adds ControlNet LoRA support; distinct changes." + }, + { + "left": "pull_request:11243", + "right": "pull_request:12170", + "accept": false, + "reason": "Both are LoRA conversion utilities, but they target different model families (Wan vs Qwen) and different conversion logic." + }, + { + "left": "pull_request:13100", + "right": "pull_request:13148", + "accept": false, + "reason": "Both are docs updates for modular diffusers, but they cover different documentation pages and topics." + }, + { + "left": "pull_request:5914", + "right": "pull_request:6402", + "accept": false, + "reason": "Unrelated fixes: a README/template bug in SDXL DreamBooth vs gradient checkpointing in LoRA training." + }, + { + "left": "pull_request:7018", + "right": "pull_request:7166", + "accept": false, + "reason": "Different SDXL DreamBooth LoRA bugs: gradient unscaling vs a prompt/text-encoder loading issue." + }, + { + "left": "pull_request:7277", + "right": "pull_request:7326", + "accept": false, + "reason": "One is a broad test/deprecation cleanup PR, the other fixes a deepspeed API usage warning; not the same issue." + }, + { + "left": "pull_request:4597", + "right": "pull_request:4899", + "accept": false, + "reason": "Both touch ControlNet, but MultiControlNet SDXL support and ControlNet LoRA support are separate features." + }, + { + "left": "pull_request:5608", + "right": "pull_request:7058", + "accept": false, + "reason": "Both are PEFT/LoRA-related, but one fixes empty network_alpha handling and the other avoids mutating an input state dict; distinct bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 24, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10222", + "pull_request:10279", + "pull_request:10291", + "pull_request:10312", + "pull_request:10316", + "pull_request:10394", + "pull_request:10458", + "pull_request:10524", + "pull_request:10781", + "pull_request:10810", + "pull_request:1087", + "pull_request:10985", + "pull_request:11271", + "pull_request:11431", + "pull_request:11481", + "pull_request:11505", + "pull_request:11529", + "pull_request:11545", + "pull_request:11550", + "pull_request:11552", + "pull_request:11681", + "pull_request:12006", + "pull_request:12562", + "pull_request:1467", + "pull_request:2046", + "pull_request:2915", + "pull_request:3170", + "pull_request:4278", + "pull_request:4714", + "pull_request:4799", + "pull_request:5697", + "pull_request:5738", + "pull_request:5887", + "pull_request:6556", + "pull_request:6573", + "pull_request:689", + "pull_request:7072", + "pull_request:7898", + "pull_request:8406", + "pull_request:8630", + "pull_request:8816", + "pull_request:8820", + "pull_request:8916", + "pull_request:9408", + "pull_request:9463", + "pull_request:9517", + "pull_request:9598", + "pull_request:9705" + ], + "soft_pairs": [ + "pull_request:10312|pull_request:9517", + "pull_request:10781|pull_request:11550", + "pull_request:11431|pull_request:11552", + "pull_request:1467|pull_request:689", + "pull_request:2046|pull_request:3170", + "pull_request:4714|pull_request:5697", + "pull_request:6556|pull_request:8630", + "pull_request:7898|pull_request:8916", + "pull_request:8406|pull_request:9705", + "pull_request:4278|pull_request:4799", + "pull_request:11481|pull_request:11681", + "pull_request:5738|pull_request:7072", + "pull_request:8816|pull_request:9463", + "pull_request:8820|pull_request:9463", + "pull_request:12006|pull_request:12562", + "pull_request:5887|pull_request:6573", + "pull_request:10222|pull_request:11545", + "pull_request:10279|pull_request:10394", + "pull_request:10279|pull_request:11505", + "pull_request:10291|pull_request:9408", + "pull_request:10316|pull_request:11529", + "pull_request:10458|pull_request:9598", + "pull_request:10524|pull_request:11529", + "pull_request:10781|pull_request:11271", + "pull_request:10810|pull_request:10985", + "pull_request:1087|pull_request:2915", + "pull_request:1087|pull_request:689" + ], + "prepared_review_unit_hash": "1068e37fe745313bb10979987b0a4b7e2accd146287609287cb3981fc62cea2d", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 97644, + "estimated_input_tokens": 24411, + "estimated_eval_tokens": 49078 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No true duplicate cluster here: the items span unrelated PRs across docs, tests, and many distinct pipeline/model fixes. I rejected all soft edges because they do not describe the same concrete bug or mergeable change.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:10312", + "right": "pull_request:9517", + "accept": false, + "reason": "Different bugs in different areas: Attention.head_to_batch_dim reshaping vs FLUX joint_attention_kwargs propagation." + }, + { + "left": "pull_request:10781", + "right": "pull_request:11550", + "accept": false, + "reason": "Both add single-file support, but for different models and codepaths (Lumina2 vs HiDream); not the same change." + }, + { + "left": "pull_request:11431", + "right": "pull_request:11552", + "accept": false, + "reason": "Both add torch.compile tests, but they target different transformer models and different behaviors." + }, + { + "left": "pull_request:1467", + "right": "pull_request:689", + "accept": false, + "reason": "Both are generic test-speed fixes, but they touch different tests and different eras of code; not the same underlying issue." + }, + { + "left": "pull_request:2046", + "right": "pull_request:3170", + "accept": false, + "reason": "Both pin huggingface-hub for test/debugging, but they are unrelated setup changes with no shared concrete bug." + }, + { + "left": "pull_request:4714", + "right": "pull_request:5697", + "accept": false, + "reason": "Unrelated fixes: one adjusts a missing-transformers error path, the other fixes PEFT/xformers attention behavior." + }, + { + "left": "pull_request:6556", + "right": "pull_request:8630", + "accept": false, + "reason": "Different goals: torch.compile compatibility for an SDXL LoRA training script vs adding SD3 text-encoder training." + }, + { + "left": "pull_request:7898", + "right": "pull_request:8916", + "accept": false, + "reason": "Both are test additions, but for different models and different coverage; not the same bug or change." + }, + { + "left": "pull_request:8406", + "right": "pull_request:9705", + "accept": false, + "reason": "Different docs/README updates for different training scripts; no shared underlying fix." + }, + { + "left": "pull_request:4278", + "right": "pull_request:4799", + "accept": false, + "reason": "Distinct pipeline bugs: StableDiffusionUpscale prompt handling vs SDXL ControlNet guess_mode conditioning." + }, + { + "left": "pull_request:11481", + "right": "pull_request:11681", + "accept": false, + "reason": "A test rename and device_map docs/behavior clarification are unrelated changes." + }, + { + "left": "pull_request:5738", + "right": "pull_request:7072", + "accept": false, + "reason": "Different features in different areas: LoRA adapter deletion vs DoRA training support." + }, + { + "left": "pull_request:8816", + "right": "pull_request:9463", + "accept": false, + "reason": "Same broad PAG theme, but different pipelines and feature additions; not the same concrete code-path change." + }, + { + "left": "pull_request:8820", + "right": "pull_request:9463", + "accept": false, + "reason": "Both concern PAG support, but one adds SD1.5 ControlNet support and the other adds SD img2img support; separate changes." + }, + { + "left": "pull_request:12006", + "right": "pull_request:12562", + "accept": false, + "reason": "Unrelated pipeline work: Wan i2v feature addition vs a context-parallel crash fix." + }, + { + "left": "pull_request:5887", + "right": "pull_request:6573", + "accept": false, + "reason": "Both mention adapters, but one adds IP-Adapter support to ControlNet inpaint and the other supports multiple IP-Adapters; different changes." + }, + { + "left": "pull_request:10222", + "right": "pull_request:11545", + "accept": false, + "reason": "Different pipeline fixes in different subsystems: PyTorch XLA support vs missing VAE slicing/tiling methods." + }, + { + "left": "pull_request:10279", + "right": "pull_request:10394", + "accept": false, + "reason": "Both are doc-link fixes, but they affect unrelated documentation pages." + }, + { + "left": "pull_request:10279", + "right": "pull_request:11505", + "accept": false, + "reason": "Unrelated documentation corrections; same broad doc category only." + }, + { + "left": "pull_request:10291", + "right": "pull_request:9408", + "accept": false, + "reason": "One is a Flux ControlNet inpainting config bug; the other is a broader Flux ControlNet img2img/inpaint feature addition." + }, + { + "left": "pull_request:10316", + "right": "pull_request:11529", + "accept": false, + "reason": "Different docs updates for different pages and purposes; not duplicates." + }, + { + "left": "pull_request:10458", + "right": "pull_request:9598", + "accept": false, + "reason": "One marks tests slow/nightly, the other adds a version note in a different test file; unrelated." + }, + { + "left": "pull_request:10524", + "right": "pull_request:11529", + "accept": false, + "reason": "Different documentation updates for different topics; no shared bug or change." + }, + { + "left": "pull_request:10781", + "right": "pull_request:11271", + "accept": false, + "reason": "Both are single-file-related, but for different models and different checkpoints; not the same change." + }, + { + "left": "pull_request:10810", + "right": "pull_request:10985", + "accept": false, + "reason": "Both are Flux LoRA-related, but they solve different conversion/support problems and are not the same concrete fix." + }, + { + "left": "pull_request:1087", + "right": "pull_request:2915", + "accept": false, + "reason": "Both touch slow-test tolerances, but they change different tests and different assertions." + }, + { + "left": "pull_request:1087", + "right": "pull_request:689", + "accept": false, + "reason": "Unrelated test/stability tweaks in different modules; no common underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 25, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10991", + "pull_request:11107", + "pull_request:1130", + "pull_request:11426", + "pull_request:11427", + "pull_request:11449", + "pull_request:11451", + "pull_request:11511", + "pull_request:11537", + "pull_request:1167", + "pull_request:11825", + "pull_request:11920", + "pull_request:11955", + "pull_request:1210", + "pull_request:1234", + "pull_request:12464", + "pull_request:12739", + "pull_request:1275", + "pull_request:13069", + "pull_request:13076", + "pull_request:1319", + "pull_request:13253", + "pull_request:1386", + "pull_request:1420", + "pull_request:1960", + "pull_request:1967", + "pull_request:1998", + "pull_request:2271", + "pull_request:2384", + "pull_request:2734", + "pull_request:2836", + "pull_request:2846", + "pull_request:2887", + "pull_request:2897", + "pull_request:2915", + "pull_request:3201", + "pull_request:3217", + "pull_request:3265", + "pull_request:3633", + "pull_request:3863", + "pull_request:4227", + "pull_request:4749", + "pull_request:4893", + "pull_request:564", + "pull_request:689", + "pull_request:930", + "pull_request:975" + ], + "soft_pairs": [ + "pull_request:10991|pull_request:11107", + "pull_request:1130|pull_request:3201", + "pull_request:1130|pull_request:3265", + "pull_request:1130|pull_request:930", + "pull_request:11426|pull_request:11449", + "pull_request:11427|pull_request:11449", + "pull_request:11451|pull_request:11920", + "pull_request:11451|pull_request:11955", + "pull_request:11511|pull_request:11537", + "pull_request:11537|pull_request:11825", + "pull_request:1167|pull_request:1998", + "pull_request:1210|pull_request:2915", + "pull_request:1210|pull_request:689", + "pull_request:1234|pull_request:2887", + "pull_request:12464|pull_request:13076", + "pull_request:12739|pull_request:13253", + "pull_request:1275|pull_request:975", + "pull_request:13069|pull_request:13253", + "pull_request:1319|pull_request:564", + "pull_request:1386|pull_request:1420", + "pull_request:1960|pull_request:1998", + "pull_request:1967|pull_request:3633", + "pull_request:2271|pull_request:2915", + "pull_request:2271|pull_request:689", + "pull_request:2384|pull_request:3217", + "pull_request:2734|pull_request:3863", + "pull_request:2836|pull_request:4749", + "pull_request:2846|pull_request:2915", + "pull_request:2846|pull_request:689", + "pull_request:2897|pull_request:4227", + "pull_request:2897|pull_request:4893", + "pull_request:2897|pull_request:930" + ], + "prepared_review_unit_hash": "001ef87af3fad0372d8421550bba08cc186ebbbcff6b2a668582f272b652abce", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 32, + "serialized_chars": 94365, + "estimated_input_tokens": 23592, + "estimated_eval_tokens": 47440 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: it mixes Wan feature work, LoRA compatibility, training-script interpolation tweaks, compile-test additions, docs fixes, and unrelated utilities. I found no true duplicate pair among the soft candidates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a canonical representative for the cluster; the items do not share one underlying bug/change and mostly touch unrelated files or themes.", + "best_issue_reason": null, + "best_pr_reason": "10991 is the strongest standalone PR here because it is a substantive, merged feature with code, docs, and tests, but it still is not a duplicate target for the other items.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10991", + "right": "pull_request:11107", + "accept": false, + "reason": "Different Wan changes: single-file loading support vs LoRA compatibility for I2V, not the same bug or patch." + }, + { + "left": "pull_request:1130", + "right": "pull_request:3201", + "accept": false, + "reason": "One adds pipeline features; the other is a revert of a later community-pipeline update. Different change sets." + }, + { + "left": "pull_request:1130", + "right": "pull_request:3265", + "accept": false, + "reason": "Same file name, but this is the original feature work vs a later revert-of-revert. Not the same concrete change." + }, + { + "left": "pull_request:1130", + "right": "pull_request:930", + "accept": false, + "reason": "Feature code in a community pipeline vs documentation toctree restructuring; unrelated changes." + }, + { + "left": "pull_request:11426", + "right": "pull_request:11449", + "accept": false, + "reason": "Both add interpolation options, but to different training scripts and different code paths." + }, + { + "left": "pull_request:11427", + "right": "pull_request:11449", + "accept": false, + "reason": "Same interpolation theme, but text-to-image LoRA training and ControlNet training are distinct scripts and fixes." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11920", + "accept": false, + "reason": "Wan torch.compile test vs Wan pipeline test slices; different goals and artifacts." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11955", + "accept": false, + "reason": "Compile test for a model vs pipeline slice tests; same model family but not the same underlying change." + }, + { + "left": "pull_request:11511", + "right": "pull_request:11537", + "accept": false, + "reason": "Both are compile-related tests, but for different models and test modules." + }, + { + "left": "pull_request:11537", + "right": "pull_request:11825", + "accept": false, + "reason": "UNet compile-test plumbing vs a hotswapping/resolution-change test; related theme, not the same fix." + }, + { + "left": "pull_request:1167", + "right": "pull_request:1998", + "accept": false, + "reason": "Unrelated README edits in different places and for different purposes." + }, + { + "left": "pull_request:1210", + "right": "pull_request:2915", + "accept": false, + "reason": "Both address slow tests, but for different pipelines and different assertions." + }, + { + "left": "pull_request:1210", + "right": "pull_request:689", + "accept": false, + "reason": "Scheduler/pipeline test speed cleanup vs attention implementation performance change; not the same underlying issue." + }, + { + "left": "pull_request:1234", + "right": "pull_request:2887", + "accept": false, + "reason": "A new sampling script vs batched validation sampling in ControlNet training; different functionality." + }, + { + "left": "pull_request:12464", + "right": "pull_request:13076", + "accept": false, + "reason": "Both are docs syntax fixes, but in unrelated documentation pages and different subject matter." + }, + { + "left": "pull_request:12739", + "right": "pull_request:13253", + "accept": false, + "reason": "Type-check export fix for Z-Image vs a Z-Image test refactor; not the same concrete change." + }, + { + "left": "pull_request:1275", + "right": "pull_request:975", + "accept": false, + "reason": "Different documentation typo fixes in different pages; no shared underlying bug." + }, + { + "left": "pull_request:13069", + "right": "pull_request:13253", + "accept": false, + "reason": "Qwen Image test refactor vs Z-Image test refactor; different models and different test modules." + }, + { + "left": "pull_request:1319", + "right": "pull_request:564", + "accept": false, + "reason": "Flax scheduler loading-from-subfolder fix vs broader Flax scheduler doc/behavior cleanup; not the same patch." + }, + { + "left": "pull_request:1386", + "right": "pull_request:1420", + "accept": false, + "reason": "Feature change to add v-prediction vs tests for SD2 v-prediction; related, but not the same concrete change." + }, + { + "left": "pull_request:1960", + "right": "pull_request:1998", + "accept": false, + "reason": "Two unrelated README/documentation updates." + }, + { + "left": "pull_request:1967", + "right": "pull_request:3633", + "accept": false, + "reason": "CPU offload example tweak vs temporary dependency pinning for hub release testing; unrelated." + }, + { + "left": "pull_request:2271", + "right": "pull_request:2915", + "accept": false, + "reason": "Slow-test threshold adjustments for different pipelines and different behaviors." + }, + { + "left": "pull_request:2271", + "right": "pull_request:689", + "accept": false, + "reason": "Slow-test fixes vs attention kernel implementation speed change; not the same issue." + }, + { + "left": "pull_request:2384", + "right": "pull_request:3217", + "accept": false, + "reason": "Pix2PixZero utility removal/revert vs adding a PIL conversion utility; different code paths and intents." + }, + { + "left": "pull_request:2734", + "right": "pull_request:3863", + "accept": false, + "reason": "Both update Habana docs, but to different versions/config details; not one underlying change." + }, + { + "left": "pull_request:2836", + "right": "pull_request:4749", + "accept": false, + "reason": "DreamBooth guide link fix vs SDXL LoRA checkpointing fix; unrelated areas." + }, + { + "left": "pull_request:2846", + "right": "pull_request:2915", + "accept": false, + "reason": "Slow-test fix for Stable UnCLIP img2img vs slow-test fix for textual inversion; different pipelines." + }, + { + "left": "pull_request:2897", + "right": "pull_request:4227", + "accept": false, + "reason": "Stable UnCLIP pipeline docs example vs missing import in textual inversion docs; unrelated." + }, + { + "left": "pull_request:2897", + "right": "pull_request:4893", + "accept": false, + "reason": "Stable UnCLIP docs example vs LoRA fusion docs; both docs, but different topics and changes." + }, + { + "left": "pull_request:2897", + "right": "pull_request:930", + "accept": false, + "reason": "Stable UnCLIP docs example vs community-pipeline docs restructuring; unrelated documentation updates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 26, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10349", + "pull_request:3163", + "pull_request:3165", + "pull_request:3680", + "pull_request:3941", + "pull_request:3962", + "pull_request:4175", + "pull_request:4258", + "pull_request:4267", + "pull_request:4365", + "pull_request:4574", + "pull_request:4582", + "pull_request:4632", + "pull_request:4644", + "pull_request:4707", + "pull_request:5144", + "pull_request:5175", + "pull_request:5329", + "pull_request:5411", + "pull_request:5499", + "pull_request:5550", + "pull_request:5738", + "pull_request:6035", + "pull_request:6106", + "pull_request:6282", + "pull_request:6361", + "pull_request:6440", + "pull_request:6526", + "pull_request:6837", + "pull_request:7233", + "pull_request:7301", + "pull_request:7335", + "pull_request:7916", + "pull_request:7956", + "pull_request:7963", + "pull_request:8765", + "pull_request:8810", + "pull_request:8864", + "pull_request:9139", + "pull_request:9386", + "pull_request:9408", + "pull_request:9473", + "pull_request:9553", + "pull_request:9627", + "pull_request:9705", + "pull_request:9775", + "pull_request:9827", + "pull_request:9843" + ], + "soft_pairs": [ + "pull_request:3163|pull_request:3165", + "pull_request:3680|pull_request:5411", + "pull_request:3941|pull_request:5411", + "pull_request:3962|pull_request:5550", + "pull_request:4175|pull_request:5175", + "pull_request:4258|pull_request:4574", + "pull_request:4267|pull_request:4582", + "pull_request:4365|pull_request:4632", + "pull_request:4644|pull_request:6526", + "pull_request:4707|pull_request:5329", + "pull_request:5144|pull_request:6837", + "pull_request:5499|pull_request:6440", + "pull_request:5738|pull_request:7233", + "pull_request:6035|pull_request:6106", + "pull_request:6035|pull_request:6282", + "pull_request:6106|pull_request:6361", + "pull_request:7301|pull_request:7335", + "pull_request:7916|pull_request:7956", + "pull_request:7963|pull_request:9408", + "pull_request:8810|pull_request:9386", + "pull_request:8864|pull_request:9386", + "pull_request:9139|pull_request:9705", + "pull_request:9473|pull_request:9827", + "pull_request:9553|pull_request:9775", + "pull_request:9627|pull_request:9843", + "pull_request:10349|pull_request:8765" + ], + "prepared_review_unit_hash": "8ec867efbaf684a546c8ba98204aeac994cf6d52a7646d4189818a0411763b9e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 98615, + "estimated_input_tokens": 24654, + "estimated_eval_tokens": 49564 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose grab-bag of unrelated diffusers PRs. The soft links mostly come from shared subsystems or filenames (docs, examples, ControlNet, LoRA, PAG, Flux), but the underlying changes are distinct and should not be deduplicated.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR cleanly represents the cluster; the candidates cover separate docs edits, example-script fixes, tests, and different pipeline features rather than one duplicated change.", + "best_issue_reason": null, + "best_pr_reason": "PR 9408 is the strongest representative among the set: it is a substantial, multi-file feature PR with concrete code-path changes and tests, unlike the mostly small doc/example edits around it.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3163", + "right": "pull_request:3165", + "accept": false, + "reason": "Both touch custom_diffusion docs, but one credits the author while the other tweaks wording/spacing; unrelated changes." + }, + { + "left": "pull_request:3680", + "right": "pull_request:5411", + "accept": false, + "reason": "Both are docs fixes, but one repairs a loader-method link and the other fixes a broken training-doc link for textual inversion; different targets." + }, + { + "left": "pull_request:3941", + "right": "pull_request:5411", + "accept": false, + "reason": "Different documentation issues: one imports torch and fixes a broken path in loading docs, the other fixes textual inversion training link text." + }, + { + "left": "pull_request:3962", + "right": "pull_request:5550", + "accept": false, + "reason": "Both correct docs URLs, but for different checkpoint pages and different models; not the same change." + }, + { + "left": "pull_request:4175", + "right": "pull_request:5175", + "accept": false, + "reason": "One adds a ControlNet WebDataset training example; the other is a CI env tweak. 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Shared platform, different changes." + }, + { + "left": "pull_request:7963", + "right": "pull_request:9408", + "accept": false, + "reason": "Different ControlNet feature work: custom timesteps/sigmas versus new Flux ControlNet img2img/inpaint pipelines." + }, + { + "left": "pull_request:8810", + "right": "pull_request:9386", + "accept": false, + "reason": "Both add PAG support, but for different pipelines (SD ControlNet img2img vs SD inpaint). Too different to merge as one PR." + }, + { + "left": "pull_request:8864", + "right": "pull_request:9386", + "accept": false, + "reason": "Same PAG area, but one targets ControlNet img2img while the other targets inpaint; distinct pipeline features." + }, + { + "left": "pull_request:9139", + "right": "pull_request:9705", + "accept": false, + "reason": "Both concern Flux Dreambooth/LoRA docs and scripts, but one is a broad bug-fix/update bundle and the other is minor README updates." + }, + { + "left": "pull_request:9473", + "right": "pull_request:9827", + "accept": false, + "reason": "One fixes a Flux optimizer LR bug; the other fixes LoRA device-map handling. Different defects." + }, + { + "left": "pull_request:9553", + "right": "pull_request:9775", + "accept": false, + "reason": "One updates distributed inference docs for transformer device maps; the other adds an NF4 T5-xxl note in a Flux quantization README. Unrelated." + }, + { + "left": "pull_request:9627", + "right": "pull_request:9843", + "accept": false, + "reason": "Both are LoRA tests, but they cover different models and failure modes; not the same underlying change." + }, + { + "left": "pull_request:10349", + "right": "pull_request:8765", + "accept": false, + "reason": "One fixes single-file model-type inference logic; the other fixes docs API usage text. No shared bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 27, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10261", + "pull_request:10867", + "pull_request:10985", + "pull_request:11059", + "pull_request:11067", + "pull_request:11243", + "pull_request:11292", + "pull_request:11512", + "pull_request:11552", + "pull_request:11670", + "pull_request:11704", + "pull_request:1229", + "pull_request:12330", + "pull_request:12353", + "pull_request:12541", + "pull_request:12660", + "pull_request:12970", + "pull_request:13099", + "pull_request:192", + "pull_request:2128", + "pull_request:2172", + "pull_request:2557", + "pull_request:2595", + "pull_request:4227", + "pull_request:4795", + "pull_request:5615", + "pull_request:5738", + "pull_request:5807", + "pull_request:6174", + "pull_request:6217", + "pull_request:6327", + "pull_request:6787", + "pull_request:6864", + "pull_request:6965", + "pull_request:6968", + "pull_request:7189", + "pull_request:7235", + "pull_request:7820", + "pull_request:8282", + "pull_request:8798", + "pull_request:8902", + "pull_request:8919", + "pull_request:8985", + "pull_request:903", + "pull_request:9061", + "pull_request:9257", + "pull_request:9682", + "pull_request:9709" + ], + "soft_pairs": [ + "pull_request:11704|pull_request:12541", + "pull_request:2128|pull_request:2172", + "pull_request:8919|pull_request:8985", + "pull_request:9257|pull_request:9682", + "pull_request:7189|pull_request:7820", + "pull_request:11670|pull_request:12330", + "pull_request:10985|pull_request:11243", + "pull_request:11059|pull_request:11292", + "pull_request:5615|pull_request:6965", + "pull_request:5738|pull_request:7235", + "pull_request:5807|pull_request:6787", + "pull_request:8798|pull_request:8902", + "pull_request:11067|pull_request:9709", + "pull_request:11512|pull_request:11552", + "pull_request:1229|pull_request:2557", + "pull_request:12353|pull_request:13099", + "pull_request:192|pull_request:903", + "pull_request:2128|pull_request:2595", + "pull_request:4227|pull_request:6174", + "pull_request:4795|pull_request:6217", + "pull_request:6864|pull_request:8282", + "pull_request:8902|pull_request:9061", + "pull_request:10261|pull_request:10867", + "pull_request:12660|pull_request:12970", + "pull_request:6327|pull_request:6968" + ], + "prepared_review_unit_hash": "ad8cf8a8476b593d5b88ab6d43d5925b6f3165fefa79c2eda6600a1042e109c8", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 96551, + "estimated_input_tokens": 24138, + "estimated_eval_tokens": 48532 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is heterogeneous: Flux IP-Adapter support, Wan/SDXL LoRA conversion fixes, torch.compile test additions, checkpoint-loading fixes, and assorted docs/CI changes. None of the soft pairs look like true duplicates under a strict triage standard.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR fits the whole cluster; the items span several unrelated features and bug fixes rather than one underlying change.", + "best_issue_reason": null, + "best_pr_reason": "PR 10261 is the best overall anchor only because it is the largest, most feature-complete change and has explicit issue links, but it still represents just the Flux IP-Adapter subtheme, not the whole cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11704", + "right": "pull_request:12541", + "accept": false, + "reason": "Both touch Wan LoRA conversion, but they fix different concrete formats: AccVideo low-magnitude diff weights vs latest few-step Wan head-head keys." + }, + { + "left": "pull_request:2128", + "right": "pull_request:2172", + "accept": false, + "reason": "Different problems: disabling LoRA after use vs making validation work in multi-GPU training scripts." + }, + { + "left": "pull_request:8919", + "right": "pull_request:8985", + "accept": false, + "reason": "Both add transformer tests, but for different models and goals (Latte coverage vs shrinking Lumina test size)." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9682", + "accept": false, + "reason": "Both are dreambooth script fixes, but they address different scripts and bugs (Flux tokenization alignment vs SD3 latent caching/prior-preservation changes)." + }, + { + "left": "pull_request:7189", + "right": "pull_request:7820", + "accept": false, + "reason": "Both involve IP-Adapter plumbing, but one fixes plus-image-embed handling broadly while the other adds support to InstructPix2Pix pipelines." + }, + { + "left": "pull_request:11670", + "right": "pull_request:12330", + "accept": false, + "reason": "Related test area, but one adds a compile+group-offloading test and the other cleans up/removes pipeline-level group-offloading tests." + }, + { + "left": "pull_request:10985", + "right": "pull_request:11243", + "accept": false, + "reason": "Same conversion file, but distinct LoRA families: ComfyUI Flux LoRAs vs musubi Wan LoRAs." + }, + { + "left": "pull_request:11059", + "right": "pull_request:11292", + "accept": false, + "reason": "Both are Wan/SDXL LoRA conversion work, but they fix different conversion heuristics and target different model families." + }, + { + "left": "pull_request:5615", + "right": "pull_request:6965", + "accept": false, + "reason": "These are different pipeline-specific LoRA fixes: reverting SDXL Adapter load_lora behavior vs adding IP-Adapter support to InstructPix2Pix." + }, + { + "left": "pull_request:5738", + "right": "pull_request:7235", + "accept": false, + "reason": "Unrelated changes: LoRA layer deletion API vs DoRA training support in SDXL dreambooth." + }, + { + "left": "pull_request:5807", + "right": "pull_request:6787", + "accept": false, + "reason": "One is a community pipeline prompt-embedding feature; the other fixes image normalization in Marigold depth estimation." + }, + { + "left": "pull_request:8798", + "right": "pull_request:8902", + "accept": false, + "reason": "Both concern sharded checkpoint loading, but one fixes subfolder handling and the other adjusts variant-compatible sibling resolution; separate code paths." + }, + { + "left": "pull_request:11067", + "right": "pull_request:9709", + "accept": false, + "reason": "Different CI constraints: benchmarking transformer pin vs overall max torch version pin." + }, + { + "left": "pull_request:11512", + "right": "pull_request:11552", + "accept": false, + "reason": "Both add torch.compile tests, but they target different models and files, so they are not the same fix." + }, + { + "left": "pull_request:1229", + "right": "pull_request:2557", + "accept": false, + "reason": "Completely different scope: a README wording tweak vs adding intermediate logging to dreambooth training." + }, + { + "left": "pull_request:12353", + "right": "pull_request:13099", + "accept": false, + "reason": "Implementation vs documentation for AutoModel custom code support; not the same underlying change." + }, + { + "left": "pull_request:192", + "right": "pull_request:903", + "accept": false, + "reason": "Different topics: README parameter alignment vs inpainting pipeline deprecation and legacy pipeline handling." + }, + { + "left": "pull_request:2128", + "right": "pull_request:2595", + "accept": false, + "reason": "No shared bug or code path; LoRA disablement and scheduler switching are unrelated." + }, + { + "left": "pull_request:4227", + "right": "pull_request:6174", + "accept": false, + "reason": "Both are docs-only, but they document unrelated examples and fixes." + }, + { + "left": "pull_request:4795", + "right": "pull_request:6217", + "accept": false, + "reason": "Both are torch.compile-related fixes, but they patch different models (ControlNet vs Stable Video Diffusion VAE)." + }, + { + "left": "pull_request:6864", + "right": "pull_request:8282", + "accept": false, + "reason": "Both are documentation additions, but for different PEFT/I2VGen topics." + }, + { + "left": "pull_request:8902", + "right": "pull_request:9061", + "accept": false, + "reason": "Different checkpoint-loading issues: one is a core variant/sibling selection fix, the other is dispatching sharded checkpoints correctly when variants are present." + }, + { + "left": "pull_request:10261", + "right": "pull_request:10867", + "accept": false, + "reason": "10867 extends Flux IP-Adapter to multiple adapters; 10261 adds initial Flux IP-Adapter support. Related area, but not the same concrete change." + }, + { + "left": "pull_request:6327", + "right": "pull_request:6968", + "accept": false, + "reason": "Both touch the advanced SDXL LoRA script, but they fix different bugs and training behaviors, so they are not mergeable as one duplicate change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 28, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10183", + "pull_request:1026", + "pull_request:10279", + "pull_request:10299", + "pull_request:10323", + "pull_request:10376", + "pull_request:10418", + "pull_request:10544", + "pull_request:10633", + "pull_request:10975", + "pull_request:11025", + "pull_request:1130", + "pull_request:11338", + "pull_request:11451", + "pull_request:11473", + "pull_request:11529", + "pull_request:11541", + "pull_request:11550", + "pull_request:11623", + "pull_request:11778", + "pull_request:11954", + "pull_request:12183", + "pull_request:12681", + "pull_request:12750", + "pull_request:13039", + "pull_request:13069", + "pull_request:13209", + "pull_request:13344", + "pull_request:1346", + "pull_request:2839", + "pull_request:2994", + "pull_request:3197", + "pull_request:3299", + "pull_request:4632", + "pull_request:4799", + "pull_request:4910", + "pull_request:5906", + "pull_request:5986", + "pull_request:6004", + "pull_request:6402", + "pull_request:6999", + "pull_request:7934", + "pull_request:8571", + "pull_request:8755", + "pull_request:9008", + "pull_request:9139", + "pull_request:9827" + ], + "soft_pairs": [ + "pull_request:8755|pull_request:9139", + "pull_request:2994|pull_request:4632", + "pull_request:3299|pull_request:4910", + "pull_request:5906|pull_request:6402", + "pull_request:5986|pull_request:6004", + "pull_request:8571|pull_request:9008", + "pull_request:10376|pull_request:11025", + "pull_request:7934|pull_request:9827", + "pull_request:4799|pull_request:6999", + "pull_request:12681|pull_request:13039", + "pull_request:10183|pull_request:11550", + "pull_request:1026|pull_request:2839", + "pull_request:10279|pull_request:11473", + "pull_request:10299|pull_request:11529", + "pull_request:10323|pull_request:10418", + "pull_request:10544|pull_request:10633", + "pull_request:10975|pull_request:11778", + "pull_request:1130|pull_request:3197", + "pull_request:11338|pull_request:12183", + "pull_request:11451|pull_request:11954", + "pull_request:11541|pull_request:11623", + "pull_request:12750|pull_request:13209", + "pull_request:13069|pull_request:13344", + "pull_request:1346|pull_request:2839" + ], + "prepared_review_unit_hash": "50b61f20847d2fa0893845fde603095fdf8596c48d5a2dc2917adb992f578d05", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 93724, + "estimated_input_tokens": 23431, + "estimated_eval_tokens": 47118 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated docs/tests/feature PRs; 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no shared issue or code path." + }, + { + "left": "pull_request:10323", + "right": "pull_request:10418", + "accept": false, + "reason": "Both fix internal documentation links, but in different pages and subsystems; not one underlying change." + }, + { + "left": "pull_request:10544", + "right": "pull_request:10633", + "accept": false, + "reason": "ParaAttention docs versus Flux IP-Adapter docs are different feature additions, not duplicates." + }, + { + "left": "pull_request:10975", + "right": "pull_request:11778", + "accept": false, + "reason": "Both are Wan-related, but one fixes pipeline bugs and the other fixes VACE mask padding; separate code paths." + }, + { + "left": "pull_request:1130", + "right": "pull_request:3197", + "accept": false, + "reason": "Both involve lpw_stable_diffusion, but one is a community example tweak and the other is a broader pipeline rewrite; not the same change." + }, + { + "left": "pull_request:11338", + "right": "pull_request:12183", + "accept": false, + "reason": "LoRA docs plumbing versus adding a LoRA button to QwenImage docs are unrelated." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11954", + "accept": false, + "reason": "Different test additions for different video/Wan models; 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The other pair verdicts also stay conservative and do not overstate duplicate evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 29, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:178", + "pull_request:1927", + "pull_request:2330", + "pull_request:2464", + "pull_request:2526", + "pull_request:2559", + "pull_request:2678", + "pull_request:2699", + "pull_request:2767", + "pull_request:3397", + "pull_request:3458", + "pull_request:3460", + "pull_request:3472", + "pull_request:3504", + "pull_request:3568", + "pull_request:3626", + "pull_request:3852", + "pull_request:386", + "pull_request:3945", + "pull_request:3971", + "pull_request:4237", + "pull_request:4238", + "pull_request:4258", + "pull_request:4540", + "pull_request:4556", + "pull_request:4582", + "pull_request:4612", + "pull_request:4652", + "pull_request:4893", + "pull_request:4947", + "pull_request:5051", + "pull_request:5078", + "pull_request:5090", + "pull_request:5101", + "pull_request:5144", + "pull_request:5180", + "pull_request:5244", + "pull_request:5568", + "pull_request:5674", + "pull_request:5914", + "pull_request:6106", + "pull_request:6282", + "pull_request:6402", + "pull_request:6556", + "pull_request:6775", + "pull_request:7086", + "pull_request:7196", + "pull_request:903" + ], + "soft_pairs": [ + "pull_request:178|pull_request:903", + "pull_request:1927|pull_request:386", + "pull_request:2330|pull_request:2699", + "pull_request:2464|pull_request:2767", + "pull_request:2526|pull_request:2678", + "pull_request:2559|pull_request:4582", + "pull_request:3397|pull_request:3852", + "pull_request:3458|pull_request:3626", + "pull_request:3460|pull_request:3626", + "pull_request:3472|pull_request:4893", + "pull_request:3504|pull_request:5568", + "pull_request:3568|pull_request:5101", + "pull_request:3945|pull_request:6282", + "pull_request:3971|pull_request:4237", + "pull_request:3971|pull_request:4238", + "pull_request:4258|pull_request:4540", + "pull_request:4556|pull_request:4582", + "pull_request:4612|pull_request:5180", + "pull_request:4652|pull_request:5914", + "pull_request:4652|pull_request:6402", + "pull_request:4947|pull_request:7196", + "pull_request:5051|pull_request:5674", + "pull_request:5078|pull_request:6556", + "pull_request:5090|pull_request:7086", + "pull_request:5144|pull_request:6775", + "pull_request:5244|pull_request:6106", + "pull_request:5244|pull_request:6282" + ], + "prepared_review_unit_hash": "c0201fa73044543320292160984ebd81fde0e54ba6542317599bfa55f5bf23b2", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 97850, + "estimated_input_tokens": 24463, + "estimated_eval_tokens": 49182 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated docs changes, test fixes, and separate training/pipeline bug fixes across many different code paths. 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unrelated." + }, + { + "left": "pull_request:5144", + "right": "pull_request:6775", + "accept": false, + "reason": "BLIP Diffusion sample-code punctuation vs a scheduler doc parameter addition; unrelated." + }, + { + "left": "pull_request:5244", + "right": "pull_request:6106", + "accept": false, + "reason": "Different training scripts and different fixes; only both are example/training-related." + }, + { + "left": "pull_request:5244", + "right": "pull_request:6282", + "accept": false, + "reason": "Kandinsky training fix vs DreamBooth runtime error fix; unrelated code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 30, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11532", + "pull_request:11660", + "pull_request:11994", + "pull_request:12439", + "pull_request:12681", + "pull_request:12687", + "pull_request:12812", + "pull_request:12914", + "pull_request:1370", + "pull_request:2193", + "pull_request:3779", + "pull_request:3859", + "pull_request:4098", + "pull_request:4295", + "pull_request:4417", + "pull_request:5506", + "pull_request:5945", + "pull_request:6035", + "pull_request:6145", + "pull_request:6174", + "pull_request:6184", + "pull_request:6361", + "pull_request:6403", + "pull_request:6440", + "pull_request:6537", + "pull_request:6566", + "pull_request:6655", + "pull_request:6837", + "pull_request:6875", + "pull_request:6962", + "pull_request:7029", + "pull_request:7124", + "pull_request:7227", + "pull_request:7233", + "pull_request:7236", + "pull_request:7260", + "pull_request:7425", + "pull_request:830", + "pull_request:833", + "pull_request:8616", + "pull_request:869", + "pull_request:8715", + "pull_request:874", + "pull_request:879", + "pull_request:9017", + "pull_request:9257", + "pull_request:930" + ], + "soft_pairs": [ + "pull_request:5945|pull_request:6962", + "pull_request:6035|pull_request:6403", + "pull_request:6035|pull_request:7124", + "pull_request:6145|pull_request:6537", + "pull_request:6174|pull_request:6837", + "pull_request:6174|pull_request:7425", + "pull_request:6361|pull_request:6403", + "pull_request:6440|pull_request:7029", + "pull_request:6566|pull_request:8715", + "pull_request:6655|pull_request:7124", + "pull_request:6875|pull_request:7260", + "pull_request:7227|pull_request:7236", + "pull_request:830|pull_request:833", + "pull_request:869|pull_request:879", + "pull_request:874|pull_request:930", + "pull_request:4295|pull_request:4417", + "pull_request:2193|pull_request:3779", + "pull_request:5506|pull_request:6184", + "pull_request:12439|pull_request:12812", + "pull_request:11994|pull_request:12681", + "pull_request:3859|pull_request:4098", + "pull_request:7233|pull_request:9257", + "pull_request:8616|pull_request:9017", + "pull_request:11532|pull_request:11660", + "pull_request:12687|pull_request:12914", + "pull_request:1370|pull_request:874" + ], + "prepared_review_unit_hash": "b8b112a4d6dc8b324e697c7ed5d9d34fa2f70d915af1eb545dcaf647968ad460", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 98805, + "estimated_input_tokens": 24702, + "estimated_eval_tokens": 49660 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: mostly unrelated docs, tests, typos, and feature PRs with only superficial same-file similarity. None of the soft edges look like true duplicates or mergeable into one PR.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the items span unrelated changes across LoRA, docs, tests, release/versioning, and attention backend work.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good global representative; the cluster does not center on one underlying bug or feature change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5945", + "right": "pull_request:6962", + "accept": false, + "reason": "Both touch PixArt tests, but one removes fast tests and the other adjusts slow-test determinism; different fixes, not the same bug." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6403", + "accept": false, + "reason": "Same SDXL training script, but one only improves help text and the other adds WebUI-format support; distinct changes." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7124", + "accept": false, + "reason": "One adds help text for a dataset arg; the other renames a validation kwarg. Same file, different issues." + }, + { + "left": "pull_request:6145", + "right": "pull_request:6537", + "accept": false, + "reason": "Both update LCM distillation scripts, but one is comment cleanup and the other adds target-model validation support." + }, + { + "left": "pull_request:6174", + "right": "pull_request:6837", + "accept": false, + "reason": "Both are doc fixes, but for different pages and problems: LoRA formatting vs missing i2vgen docs deps." + }, + { + "left": "pull_request:6174", + "right": "pull_request:7425", + "accept": false, + "reason": "Unrelated docs edits in different tutorials; one fixes markdown formatting, the other adds an output image example." + }, + { + "left": "pull_request:6361", + "right": "pull_request:6403", + "accept": false, + "reason": "Same script, but one fixes LoRA key conversion while the other adds WebUI-format support; not the same change." + }, + { + "left": "pull_request:6440", + "right": "pull_request:7029", + "accept": false, + "reason": "Both are docs-only, but one fixes local links and the other fixes alt text/image URLs in a different tutorial." + }, + { + "left": "pull_request:6566", + "right": "pull_request:8715", + "accept": false, + "reason": "Same training script, but one fixes resume/save logic and the other adds a clip_skip argument; separate features." + }, + { + "left": "pull_request:6655", + "right": "pull_request:7124", + "accept": false, + "reason": "One modularizes DreamBooth LoRA inference; the other fixes a validation kwarg name. Different code paths." + }, + { + "left": "pull_request:6875", + "right": "pull_request:7260", + "accept": false, + "reason": "Both are test-related, but for different pipelines and failures; no shared underlying bug." + }, + { + "left": "pull_request:7227", + "right": "pull_request:7236", + "accept": false, + "reason": "Same file, but one adds DoRA training support and the other fixes embedding save paths; distinct PRs." + }, + { + "left": "pull_request:830", + "right": "pull_request:833", + "accept": false, + "reason": "Release version bumps for different versions; these are sequential release PRs, not duplicates." + }, + { + "left": "pull_request:869", + "right": "pull_request:879", + "accept": false, + "reason": "Both edit the community README, but one fixes import/docs content and the other only adjusts the table layout." + }, + { + "left": "pull_request:874", + "right": "pull_request:930", + "accept": false, + "reason": "Both concern community pipeline docs, but one is a generic example while the other restructures the docs navigation and adds pages." + }, + { + "left": "pull_request:4295", + "right": "pull_request:4417", + "accept": false, + "reason": "Related to Zero123, but one adds a community pipeline and the other broadens Zero123 support across core docs/config/loaders; not one mergeable change." + }, + { + "left": "pull_request:2193", + "right": "pull_request:3779", + "accept": false, + "reason": "Completely different Stable Diffusion additions: SAG pipeline vs segmentation output support." + }, + { + "left": "pull_request:5506", + "right": "pull_request:6184", + "accept": false, + "reason": "One fixes PEFT/xformers LoRA scaling behavior; the other handles offline weight-name lookup errors. Different bug classes." + }, + { + "left": "pull_request:12439", + "right": "pull_request:12812", + "accept": false, + "reason": "Both touch attention backends, but one adds hub kernels support and the other enables CP wrappers; separate feature work." + }, + { + "left": "pull_request:11994", + "right": "pull_request:12681", + "accept": false, + "reason": "One fixes huggingface-hub test failures/docs; the other fixes unrelated pipeline CPU tests." + }, + { + "left": "pull_request:3859", + "right": "pull_request:4098", + "accept": false, + "reason": "SDXL base pipelines vs SDXL inpainting; the later PR extends the earlier area but is not the same concrete change." + }, + { + "left": "pull_request:7233", + "right": "pull_request:9257", + "accept": false, + "reason": "Different models and goals: SDXL DreamBooth DoRA training vs Flux DreamBooth script alignment." + }, + { + "left": "pull_request:8616", + "right": "pull_request:9017", + "accept": false, + "reason": "Both are LoRA-related, but one adds fusion for SD3 and the other adds AuraFlow LoRA support; different model-specific code paths." + }, + { + "left": "pull_request:11532", + "right": "pull_request:11660", + "accept": false, + "reason": "Both involve HiDream LoRA conversion, but the second is a follow-up variant-format support PR, not the same underlying change." + }, + { + "left": "pull_request:12687", + "right": "pull_request:12914", + "accept": false, + "reason": "A typo fix in autoencoder code versus a typo fix in Cosmos docs; unrelated artifacts." + }, + { + "left": "pull_request:1370", + "right": "pull_request:874", + "accept": false, + "reason": "Both edit community README content, but they address different examples and documentation updates, not one duplicate fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 31, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10259", + "pull_request:10376", + "pull_request:10378", + "pull_request:10481", + "pull_request:10517", + "pull_request:11546", + "pull_request:11572", + "pull_request:12188", + "pull_request:12190", + "pull_request:13056", + "pull_request:13255", + "pull_request:1758", + "pull_request:2254", + "pull_request:2345", + "pull_request:2994", + "pull_request:3135", + "pull_request:3248", + "pull_request:3795", + "pull_request:3945", + "pull_request:420", + "pull_request:4223", + "pull_request:4408", + "pull_request:4461", + "pull_request:4596", + "pull_request:4633", + "pull_request:4694", + "pull_request:4762", + "pull_request:5275", + "pull_request:5369", + "pull_request:5376", + "pull_request:5517", + "pull_request:5697", + "pull_request:5914", + "pull_request:6021", + "pull_request:6035", + "pull_request:6360", + "pull_request:6361", + "pull_request:6402", + "pull_request:6403", + "pull_request:6526", + "pull_request:6556", + "pull_request:6717", + "pull_request:6795", + "pull_request:6884", + "pull_request:6946", + "pull_request:7182", + "pull_request:7786", + "pull_request:9682" + ], + "soft_pairs": [ + "pull_request:1758|pull_request:420", + "pull_request:2254|pull_request:2345", + "pull_request:3795|pull_request:5369", + "pull_request:3945|pull_request:6021", + "pull_request:4461|pull_request:4596", + "pull_request:4633|pull_request:6526", + "pull_request:5376|pull_request:6360", + "pull_request:5697|pull_request:7786", + "pull_request:5914|pull_request:6361", + "pull_request:6035|pull_request:6402", + "pull_request:6035|pull_request:6795", + "pull_request:6402|pull_request:6556", + "pull_request:6403|pull_request:7182", + "pull_request:4408|pull_request:4694", + "pull_request:10259|pull_request:11546", + "pull_request:10376|pull_request:11572", + "pull_request:5517|pull_request:6717", + "pull_request:12188|pull_request:12190", + "pull_request:2994|pull_request:4223", + "pull_request:3135|pull_request:3248", + "pull_request:6884|pull_request:6946", + "pull_request:10378|pull_request:9682", + "pull_request:10481|pull_request:10517", + "pull_request:13056|pull_request:13255", + "pull_request:4762|pull_request:5275" + ], + "prepared_review_unit_hash": "3c2cc9903bc438b5d7a5d10c03b2781993c7f35c160cb829de00f95d358cfc55", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 98099, + "estimated_input_tokens": 24525, + "estimated_eval_tokens": 49306 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of superficially similar but unrelated PRs across docs, training scripts, loaders, and model-specific bug fixes. I do not see a true duplicate pair among the soft edges under a strict PR-duplication standard.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR stands out: the items cover many different features/bug fixes across unrelated code paths and models, so the cluster is too heterogeneous to collapse to one PR.", + "best_issue_reason": null, + "best_pr_reason": "No best PR in the duplicate sense; the closest matches are only loosely related by topic, not the same concrete change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1758", + "right": "pull_request:420", + "accept": false, + "reason": "Both are docs edits, but they cover different documentation areas and different changes; not the same underlying fix." + }, + { + "left": "pull_request:2254", + "right": "pull_request:2345", + "accept": false, + "reason": "One is docs about xFormers 0.0.16, the other adds runtime warnings in training scripts; related topic, but not the same PR-worthy code change." + }, + { + "left": "pull_request:3795", + "right": "pull_request:5369", + "accept": false, + "reason": "Both are minor docs fixes, but they touch different guides and unrelated corrections." + }, + { + "left": "pull_request:3945", + "right": "pull_request:6021", + "accept": false, + "reason": "Different training-script enhancements for different SDXL/DreamBooth flows; not the same bug or change." + }, + { + "left": "pull_request:4461", + "right": "pull_request:4596", + "accept": false, + "reason": "These are opposite-direction conversion scripts with different purposes; related conversion area, but not the same fix." + }, + { + "left": "pull_request:4633", + "right": "pull_request:6526", + "accept": false, + "reason": "One adds an SDXL ControlNet training script, the other fixes compile compatibility in an existing script; not the same concrete change." + }, + { + "left": "pull_request:5376", + "right": "pull_request:6360", + "accept": false, + "reason": "Both touch inpainting-related pipelines, but they fix different issues: FreeU support vs padding/mask-crop input handling." + }, + { + "left": "pull_request:5697", + "right": "pull_request:7786", + "accept": false, + "reason": "These fix entirely different bugs in different pipelines (xFormers/PEFT attention vs Stable Video Diffusion prompt/video batching)." + }, + { + "left": "pull_request:5914", + "right": "pull_request:6361", + "accept": false, + "reason": "A README template typo is unrelated to LoRA key conversion logic." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6402", + "accept": false, + "reason": "Help-text cleanup and gradient-checkpointing behavior are different changes." + }, + { + "left": "pull_request:6035", + "right": "pull_request:6795", + "accept": false, + "reason": "Help text improvements and SDXL micro-conditioning support are unrelated." + }, + { + "left": "pull_request:6402", + "right": "pull_request:6556", + "accept": false, + "reason": "Both involve LoRA training, but they address different compatibility bugs in different scripts." + }, + { + "left": "pull_request:6403", + "right": "pull_request:7182", + "accept": false, + "reason": "WebUI-format support and EDM-style training are distinct feature additions in the same script." + }, + { + "left": "pull_request:4408", + "right": "pull_request:4694", + "accept": false, + "reason": "Different pipeline families and different functionality; not the same underlying change." + }, + { + "left": "pull_request:10259", + "right": "pull_request:11546", + "accept": false, + "reason": "Different model-specific LoRA loading support (Flux vs Hunyuan FramePack); not mergeable as one PR." + }, + { + "left": "pull_request:10376", + "right": "pull_request:11572", + "accept": false, + "reason": "Separate non-diffusers LoRA conversion support for different models (HunyuanVideo vs LTX-Video)." + }, + { + "left": "pull_request:5517", + "right": "pull_request:6717", + "accept": false, + "reason": "A WIP latent-consistency script and a consistency-training community example are different additions, not duplicates." + }, + { + "left": "pull_request:12188", + "right": "pull_request:12190", + "accept": false, + "reason": "Both touch Qwen-Image-Edit, but one is an emergency bug fix and the other is a performance/auto-resize refactor; not the same concrete issue." + }, + { + "left": "pull_request:2994", + "right": "pull_request:4223", + "accept": false, + "reason": "Different ControlNet training fixes in different releases; type-casting and SDXL-specific compatibility are not the same change." + }, + { + "left": "pull_request:3135", + "right": "pull_request:3248", + "accept": false, + "reason": "Both are ControlNet training script changes, but one enforces sizing and cropping while the other handles logging/image-format issues." + }, + { + "left": "pull_request:6884", + "right": "pull_request:6946", + "accept": false, + "reason": "Same loader file, but one fixes scale-length validation and the other adds low_cpu_mem_usage support; unrelated fixes." + }, + { + "left": "pull_request:10378", + "right": "pull_request:9682", + "accept": false, + "reason": "Both mention SD3 LoRA/training, but one is a training-script save-hook fix and the other is broader SD3 training/test updates." + }, + { + "left": "pull_request:10481", + "right": "pull_request:10517", + "accept": false, + "reason": "A clean_caption default change and a vague Sana 4K bug fix are not the same issue." + }, + { + "left": "pull_request:13056", + "right": "pull_request:13255", + "accept": false, + "reason": "One adds Z-Image LoRA training docs/code, the other fixes Z-Image LoRA loading; related model family, but different changes." + }, + { + "left": "pull_request:4762", + "right": "pull_request:5275", + "accept": false, + "reason": "An SDXL README VAE note and adding a new SDXL JAX example are unrelated documentation/example additions." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 32, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10259", + "pull_request:10318", + "pull_request:10376", + "pull_request:10576", + "pull_request:10854", + "pull_request:11508", + "pull_request:11602", + "pull_request:11670", + "pull_request:11754", + "pull_request:11767", + "pull_request:11796", + "pull_request:12164", + "pull_request:12188", + "pull_request:12190", + "pull_request:12225", + "pull_request:12839", + "pull_request:2037", + "pull_request:243", + "pull_request:4461", + "pull_request:4595", + "pull_request:4666", + "pull_request:5807", + "pull_request:5887", + "pull_request:5915", + "pull_request:6035", + "pull_request:6179", + "pull_request:6190", + "pull_request:6762", + "pull_request:6864", + "pull_request:6975", + "pull_request:7182", + "pull_request:7196", + "pull_request:7212", + "pull_request:7372", + "pull_request:7476", + "pull_request:7720", + "pull_request:7786", + "pull_request:7932", + "pull_request:8696", + "pull_request:8825", + "pull_request:8902", + "pull_request:9139", + "pull_request:9290", + "pull_request:9318", + "pull_request:9445", + "pull_request:9483", + "pull_request:9816" + ], + "soft_pairs": [ + "pull_request:5807|pull_request:7786", + "pull_request:6035|pull_request:7372", + "pull_request:6190|pull_request:6864", + "pull_request:11767|pull_request:11796", + "pull_request:11602|pull_request:12225", + "pull_request:12164|pull_request:12190", + "pull_request:12188|pull_request:12839", + "pull_request:6762|pull_request:8696", + "pull_request:7182|pull_request:7372", + "pull_request:7196|pull_request:8825", + "pull_request:9139|pull_request:9290", + "pull_request:9318|pull_request:9483", + "pull_request:5887|pull_request:5915", + "pull_request:9445|pull_request:9816", + "pull_request:11508|pull_request:11670", + "pull_request:10318|pull_request:10576", + "pull_request:4461|pull_request:4595", + "pull_request:4666|pull_request:6179", + "pull_request:7212|pull_request:7720", + "pull_request:6975|pull_request:7476", + "pull_request:10854|pull_request:11754", + "pull_request:2037|pull_request:243", + "pull_request:7932|pull_request:8902", + "pull_request:10259|pull_request:10376" + ], + "prepared_review_unit_hash": "b05d013161daa45ef6c769470e27bedf93fd94ecc051494bd84afae8f67c97e7", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 97279, + "estimated_input_tokens": 24320, + "estimated_eval_tokens": 48896 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: mostly unrelated feature, test, docs, and CI PRs across Flux, QwenImage, IP-Adapter, controlnet, training scripts, and utility fixes. None of the soft edges look like true duplicates of the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:5807", + "right": "pull_request:7786", + "accept": false, + "reason": "Both touch prompt/image repetition behavior, but they are for different pipelines and different bugs; not the same concrete code path." + }, + { + "left": "pull_request:6035", + "right": "pull_request:7372", + "accept": false, + "reason": "Same training script file, but one is help text and the other adds EDM model-card tagging/scheduler metadata; different changes." + }, + { + "left": "pull_request:6190", + "right": "pull_request:6864", + "accept": false, + "reason": "One is PEFT torch.compile test code, the other is documentation guidance; same topic, not the same fix." + }, + { + "left": "pull_request:11767", + "right": "pull_request:11796", + "accept": false, + "reason": "Both involve group offloading, but one fixes unique memory address handling and the other fixes a test interaction with layerwise casting." + }, + { + "left": "pull_request:11602", + "right": "pull_request:12225", + "accept": false, + "reason": "Both are QwenImage pipeline PRs, but one adds image-to-image support while the other adds a new inpainting pipeline; separate features." + }, + { + "left": "pull_request:12164", + "right": "pull_request:12190", + "accept": false, + "reason": "Same file, but one is feature support and the other is a performance-oriented refactor; not the same underlying change." + }, + { + "left": "pull_request:12188", + "right": "pull_request:12839", + "accept": false, + "reason": "One is an emergency fix in Qwen-Image-Edit, the other adds later 2511 support in the transformer; different problems and code paths." + }, + { + "left": "pull_request:6762", + "right": "pull_request:8696", + "accept": false, + "reason": "Both mark tests flaky, but they target different model suites and failures." + }, + { + "left": "pull_request:7182", + "right": "pull_request:7372", + "accept": false, + "reason": "Same DreamBooth LoRA script, but one adds EDM-style training and the other only updates model-card tags/scheduler info." + }, + { + "left": "pull_request:7196", + "right": "pull_request:8825", + "accept": false, + "reason": "Different capabilities in unrelated codepaths: IP-Adapter training docs/scripts versus adding ControlNet/IP-Adapter support to a k-diffusion pipeline." + }, + { + "left": "pull_request:9139", + "right": "pull_request:9290", + "accept": false, + "reason": "Both edit Flux README content, but the changes are different documentation updates, not the same fix." + }, + { + "left": "pull_request:9318", + "right": "pull_request:9483", + "accept": false, + "reason": "One updates CI token secrets, the other adjusts nightly model test tolerances; unrelated CI/test maintenance." + }, + { + "left": "pull_request:5887", + "right": "pull_request:5915", + "accept": false, + "reason": "Related to IP-Adapter support, but one adds it to ControlNet inpaint while the other broadens IP-Adapter Plus support across many pipelines; not one mergeable fix." + }, + { + "left": "pull_request:9445", + "right": "pull_request:9816", + "accept": false, + "reason": "Both are Flux community pipelines, but they implement different features with distinct goals and code paths." + }, + { + "left": "pull_request:11508", + "right": "pull_request:11670", + "accept": false, + "reason": "Both affect compile-related tests/CI, but one changes torch.compile CI coverage while the other adds a group-offloading compile test." + }, + { + "left": "pull_request:10318", + "right": "pull_request:10576", + "accept": false, + "reason": "Both are Flux LoRA-related tests, but one targets Flux control/LoRA integration and the other checks 8-bit quantized model LoRA loading." + }, + { + "left": "pull_request:4461", + "right": "pull_request:4595", + "accept": false, + "reason": "One adds a pipeline_class_name argument to a conversion script; the other is an unrelated WIP conversion PR with no concrete overlap." + }, + { + "left": "pull_request:4666", + "right": "pull_request:6179", + "accept": false, + "reason": "Both mention attention/ControlNet/SDXL support, but one adds LoRA support for SDXL ControlNet and the other enables fused attention projections; different changes." + }, + { + "left": "pull_request:7212", + "right": "pull_request:7720", + "accept": false, + "reason": "A small cleanup in TemporalBasicTransformerBlock is unrelated to dead-code removal across miscellaneous example/scripts files." + }, + { + "left": "pull_request:6975", + "right": "pull_request:7476", + "accept": false, + "reason": "Both touch ControlNet inpaint-related code, but one fixes single-file loading and the other fixes multi-ControlNet compile behavior; separate bugs." + }, + { + "left": "pull_request:10854", + "right": "pull_request:11754", + "accept": false, + "reason": "Both are test-module rename/CI fixes, but they target different packages and module naming issues." + }, + { + "left": "pull_request:2037", + "right": "pull_request:243", + "accept": false, + "reason": "Completely different community pipelines: Stable UnCLIP versus RePaint inpainting." + }, + { + "left": "pull_request:7932", + "right": "pull_request:8902", + "accept": false, + "reason": "One fixes LoRA test values, the other changes sharded checkpoint loading; no shared underlying bug." + }, + { + "left": "pull_request:10259", + "right": "pull_request:10376", + "accept": false, + "reason": "Both are LoRA-related, but one supports loading regular Flux LoRAs into Flux Control/Fill and the other converts original-format HunyuanVideo LoRAs; not the same issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 33, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1012", + "pull_request:10279", + "pull_request:10349", + "pull_request:10402", + "pull_request:10418", + "pull_request:10578", + "pull_request:1063", + "pull_request:1073", + "pull_request:10845", + "pull_request:10922", + "pull_request:10943", + "pull_request:10947", + "pull_request:11130", + "pull_request:11243", + "pull_request:11327", + "pull_request:11348", + "pull_request:11373", + "pull_request:11451", + "pull_request:11552", + "pull_request:1162", + "pull_request:1167", + "pull_request:11740", + "pull_request:1178", + "pull_request:11876", + "pull_request:11953", + "pull_request:121", + "pull_request:12230", + "pull_request:12737", + "pull_request:1283", + "pull_request:12933", + "pull_request:12970", + "pull_request:12983", + "pull_request:1346", + "pull_request:16", + "pull_request:1605", + "pull_request:1960", + "pull_request:1998", + "pull_request:4944", + "pull_request:6573", + "pull_request:6729", + "pull_request:6907", + "pull_request:694", + "pull_request:754", + "pull_request:879", + "pull_request:883", + "pull_request:9542", + "pull_request:9655" + ], + "soft_pairs": [ + "pull_request:6729|pull_request:6907", + "pull_request:12737|pull_request:12970", + "pull_request:4944|pull_request:6573", + "pull_request:12933|pull_request:12983", + "pull_request:11130|pull_request:11876", + "pull_request:1012|pull_request:883", + "pull_request:10279|pull_request:9655", + "pull_request:10349|pull_request:10947", + "pull_request:10402|pull_request:10418", + "pull_request:10578|pull_request:9542", + "pull_request:1063|pull_request:1178", + "pull_request:1073|pull_request:879", + "pull_request:10845|pull_request:11373", + "pull_request:10922|pull_request:12230", + "pull_request:10943|pull_request:11243", + "pull_request:11327|pull_request:11348", + "pull_request:11451|pull_request:11740", + "pull_request:11451|pull_request:11953", + "pull_request:11552|pull_request:11740", + "pull_request:1162|pull_request:754", + "pull_request:1167|pull_request:16", + "pull_request:1167|pull_request:1960", + "pull_request:121|pull_request:694", + "pull_request:1283|pull_request:1605", + "pull_request:1346|pull_request:1998" + ], + "prepared_review_unit_hash": "e10721e034a437b9c90cbf61b86dcdeb26c6e7c0561402035c707377e2d65ab3", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 95879, + "estimated_input_tokens": 23970, + "estimated_eval_tokens": 48196 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly unrelated small PRs across docs, model support, quantization, and tests. None of the soft pairs look like the same underlying bug or change closely enough to merge as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR for the cluster: the items span many separate features and fixes rather than one duplicated change.", + "best_issue_reason": null, + "best_pr_reason": "PR 10943 is the strongest representative artifact: it is a substantial core code change with tests and clear functional scope, unlike the many docs-only or narrow follow-up PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6729", + "right": "pull_request:6907", + "accept": false, + "reason": "Both standardize model card generation, but one is for DreamBooth and the other for ControlNet; different scripts, templates, and change scope." + }, + { + "left": "pull_request:12737", + "right": "pull_request:12970", + "accept": false, + "reason": "Both touch context parallel, but they target different model families and different code paths; not the same bug or change." + }, + { + "left": "pull_request:4944", + "right": "pull_request:6573", + "accept": false, + "reason": "The first is initial IP-Adapter support, while the second adds multiple-IP-Adapter support across pipelines; related feature area, but not a duplicate change." + }, + { + "left": "pull_request:12933", + "right": "pull_request:12983", + "accept": false, + "reason": "One adds LoRA support for LTX-2, the other adds single-file loading for LTX 2; different features with different implementation paths." + }, + { + "left": "pull_request:11130", + "right": "pull_request:11876", + "accept": false, + "reason": "Both concern pipeline-level quantization, but 11876 is a follow-up QoL enhancement, not the same concrete fix or PR." + }, + { + "left": "pull_request:1012", + "right": "pull_request:883", + "accept": false, + "reason": "1012 only sets text_encoder train mode, while 883 adds the DreamBooth text-encoder training feature and docs; the latter subsumes but is not identical to the former." + }, + { + "left": "pull_request:10279", + "right": "pull_request:9655", + "accept": false, + "reason": "Both are docs fixes, but they correct unrelated pages and unrelated issues." + }, + { + "left": "pull_request:10349", + "right": "pull_request:10947", + "accept": false, + "reason": "One fixes a single-file loading bug, the other adds LTX2 single-file support; different model targets and different functionality." + }, + { + "left": "pull_request:10402", + "right": "pull_request:10418", + "accept": false, + "reason": "Both fix links, but in different documentation areas and for different broken references." + }, + { + "left": "pull_request:10578", + "right": "pull_request:9542", + "accept": false, + "reason": "Both relate to Flux LoRA, but one fixes 4-bit quantized loading and the other adds conversion support for a different LoRA format with text encoders." + }, + { + "left": "pull_request:1063", + "right": "pull_request:1178", + "accept": false, + "reason": "Completely unrelated typo fixes in different modules." + }, + { + "left": "pull_request:1073", + "right": "pull_request:879", + "accept": false, + "reason": "Both are README cleanup, but they affect unrelated documentation and unrelated content." + }, + { + "left": "pull_request:10845", + "right": "pull_request:11373", + "accept": false, + "reason": "One fixes a Flux LoRA training bug; the other is a ControlNet Flux stability/docs change. Same broad project area, but not the same bug." + }, + { + "left": "pull_request:10922", + "right": "pull_request:12230", + "accept": false, + "reason": "One introduces Wan2.1/Wan code and docs, the other renames docs text from Wan2.1 to Wan; not the same change." + }, + { + "left": "pull_request:10943", + "right": "pull_request:11243", + "accept": false, + "reason": "Both are Wan LoRA related, but they handle different LoRA formats and different conversion logic; not the same concrete fix." + }, + { + "left": "pull_request:11327", + "right": "pull_request:11348", + "accept": false, + "reason": "11348 is a documentation clarification for the compile snippet introduced in 11327, not a duplicate of the same change." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11740", + "accept": false, + "reason": "Wan compile tests and GGUF compile/offload tests are unrelated test additions for different models and subsystems." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11953", + "accept": false, + "reason": "Wan torch.compile test and HiDream fast-slice test are unrelated test changes for different models." + }, + { + "left": "pull_request:11552", + "right": "pull_request:11740", + "accept": false, + "reason": "Different models, different testing goals, no shared underlying bug or fix." + }, + { + "left": "pull_request:1162", + "right": "pull_request:754", + "accept": false, + "reason": "One fixes community README links, the other changes dynamic module loading and clip-guided memory behavior; unrelated changes." + }, + { + "left": "pull_request:1167", + "right": "pull_request:16", + "accept": false, + "reason": "Both touch README.md, but they are unrelated content updates from different parts of the project." + }, + { + "left": "pull_request:1167", + "right": "pull_request:1960", + "accept": false, + "reason": "These are unrelated README edits in different repositories sections and with different purposes." + }, + { + "left": "pull_request:121", + "right": "pull_request:694", + "accept": false, + "reason": "Early README examples and schedulers README updates are unrelated documentation changes." + }, + { + "left": "pull_request:1283", + "right": "pull_request:1605", + "accept": false, + "reason": "One adds the Versatile Diffusion model, the other adds an upcast_attention parameter; same file family but different changes." + }, + { + "left": "pull_request:1346", + "right": "pull_request:1998", + "accept": false, + "reason": "Unrelated README typo fix versus a DreamBooth blog-post addition." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 34, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1360", + "pull_request:1394", + "pull_request:1415", + "pull_request:1496", + "pull_request:1622", + "pull_request:168", + "pull_request:1682", + "pull_request:1723", + "pull_request:1758", + "pull_request:1763", + "pull_request:1769", + "pull_request:178", + "pull_request:2009", + "pull_request:2062", + "pull_request:2406", + "pull_request:252", + "pull_request:2526", + "pull_request:2566", + "pull_request:2583", + "pull_request:2604", + "pull_request:2760", + "pull_request:2915", + "pull_request:3123", + "pull_request:3201", + "pull_request:325", + "pull_request:3265", + "pull_request:330", + "pull_request:3321", + "pull_request:333", + "pull_request:3334", + "pull_request:3458", + "pull_request:3460", + "pull_request:3472", + "pull_request:3531", + "pull_request:3542", + "pull_request:365", + "pull_request:3795", + "pull_request:3945", + "pull_request:400", + "pull_request:4952", + "pull_request:555", + "pull_request:645", + "pull_request:689", + "pull_request:694", + "pull_request:888", + "pull_request:889", + "pull_request:903" + ], + "soft_pairs": [ + "pull_request:1360|pull_request:3201", + "pull_request:1360|pull_request:3265", + "pull_request:1394|pull_request:1682", + "pull_request:1415|pull_request:1622", + "pull_request:1496|pull_request:178", + "pull_request:1496|pull_request:555", + "pull_request:1496|pull_request:889", + "pull_request:168|pull_request:903", + "pull_request:1723|pull_request:333", + "pull_request:1758|pull_request:3795", + "pull_request:1763|pull_request:3531", + "pull_request:1769|pull_request:2062", + "pull_request:2009|pull_request:888", + "pull_request:2406|pull_request:3321", + "pull_request:252|pull_request:694", + "pull_request:2526|pull_request:2915", + "pull_request:2526|pull_request:689", + "pull_request:2566|pull_request:3123", + "pull_request:2583|pull_request:2604", + "pull_request:2760|pull_request:645", + "pull_request:325|pull_request:400", + "pull_request:330|pull_request:365", + "pull_request:3334|pull_request:4952", + "pull_request:3458|pull_request:3542", + "pull_request:3460|pull_request:3542", + "pull_request:3472|pull_request:3945" + ], + "prepared_review_unit_hash": "33fb2f18989d3633d2f6458b513b0fcd6ee648fe21cab9b4e3a5665d7f510d13", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 98238, + "estimated_input_tokens": 24560, + "estimated_eval_tokens": 49376 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set; it mixes unrelated PRs across version bumps, docs, tests, and different Stable Diffusion-related features. I would treat it as a loose topical cluster, not mergeable duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents a duplicate set here because the items are mostly unrelated. If one PR must be chosen as the broadest/most central stable-diffusion code change, PR 2009 is the strongest representative due to its size and impact across many pipelines.", + "best_issue_reason": null, + "best_pr_reason": "PR 2009 is the best overall representative of the cluster\u2019s main code area: it is the largest, most impactful Stable Diffusion-related change and touches the core loader/pipeline surface broadly. That said, the cluster still should not be treated as duplicate PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1360", + "right": "pull_request:3201", + "accept": false, + "reason": "Revert/re-revert of a community pipeline file, but the diffs are different change directions and not the same underlying bug or feature." + }, + { + "left": "pull_request:1360", + "right": "pull_request:3265", + "accept": false, + "reason": "Same community file, but one is the original K-Diffusion pipeline and the other is a revert of a later rewrite; not the same concrete change." + }, + { + "left": "pull_request:1394", + "right": "pull_request:1682", + "accept": false, + "reason": "Both are version bumps, but to different release versions and different release cycles." + }, + { + "left": "pull_request:1415", + "right": "pull_request:1622", + "accept": false, + "reason": "One fixes Stable Diffusion code broadly; the other fixes LPW pipeline compatibility. Different code paths and problems." + }, + { + "left": "pull_request:1496", + "right": "pull_request:178", + "accept": false, + "reason": "Docs for Habana Gaudi vs early Stable Diffusion test updates; unrelated artifacts." + }, + { + "left": "pull_request:1496", + "right": "pull_request:555", + "accept": false, + "reason": "Habana docs and Flax VAE addition are unrelated changes." + }, + { + "left": "pull_request:1496", + "right": "pull_request:889", + "accept": false, + "reason": "Habana docs vs Stable Diffusion components feature; different scope and code paths." + }, + { + "left": "pull_request:168", + "right": "pull_request:903", + "accept": false, + "reason": "Initial Stable Diffusion pipeline addition vs later inpainting deprecation. Related subsystem, but not the same change." + }, + { + "left": "pull_request:1723", + "right": "pull_request:333", + "accept": false, + "reason": "Latent diffusion optional latents input vs Latent Diffusion uncond type hints; different modifications." + }, + { + "left": "pull_request:1758", + "right": "pull_request:3795", + "accept": false, + "reason": "Both are docs, but they update different pages and cover different content." + }, + { + "left": "pull_request:1763", + "right": "pull_request:3531", + "accept": false, + "reason": "Both touch attention masking, but one is Versatile attention behavior and the other is generic mask padding validation; not the same bug." + }, + { + "left": "pull_request:1769", + "right": "pull_request:2062", + "accept": false, + "reason": "Different pipelines and different test fixes; same broad CPU-offload theme only." + }, + { + "left": "pull_request:2009", + "right": "pull_request:888", + "accept": false, + "reason": "Textual inversion loader support vs Cycle Diffusion pipeline addition. Same ecosystem, but different changes." + }, + { + "left": "pull_request:2406", + "right": "pull_request:3321", + "accept": false, + "reason": "Both update the controlling-generation docs, but they add different content and are separate documentation edits." + }, + { + "left": "pull_request:252", + "right": "pull_request:694", + "accept": false, + "reason": "README examples update vs scheduler README update; unrelated documentation changes." + }, + { + "left": "pull_request:2526", + "right": "pull_request:2915", + "accept": false, + "reason": "Both are slow-test threshold tweaks, but they target different pipelines/tests and different flaky cases." + }, + { + "left": "pull_request:2526", + "right": "pull_request:689", + "accept": false, + "reason": "One is test-threshold adjustment; the other changes attention math for performance. Not the same concrete fix." + }, + { + "left": "pull_request:2566", + "right": "pull_request:3123", + "accept": false, + "reason": "TensorBoard logging fix vs textual inversion JAX doc typo; unrelated." + }, + { + "left": "pull_request:2583", + "right": "pull_request:2604", + "accept": false, + "reason": "Different documentation/link fixes in different files." + }, + { + "left": "pull_request:2760", + "right": "pull_request:645", + "accept": false, + "reason": "Both involve textual inversion, but one adds a quantization/distillation example and the other adds periodic embedding saving. Different features." + }, + { + "left": "pull_request:325", + "right": "pull_request:400", + "accept": false, + "reason": "PR 325 is type hints for Score SDE VE; PR 400 is docs and pipeline additions around the same area, but not the same code-path change." + }, + { + "left": "pull_request:330", + "right": "pull_request:365", + "accept": false, + "reason": "Type-hint updates for different model classes (UNet vs VAE), not one duplicate change." + }, + { + "left": "pull_request:3334", + "right": "pull_request:4952", + "accept": false, + "reason": "Both are docstring edits in pipeline_utils, but they fix different documentation text." + }, + { + "left": "pull_request:3458", + "right": "pull_request:3542", + "accept": false, + "reason": "Both mention LoRA support, but one is for Stable Diffusion inpaint and the other for ControlNet; different pipelines and implementation paths." + }, + { + "left": "pull_request:3460", + "right": "pull_request:3542", + "accept": false, + "reason": "Inpaint LoRA scale support vs ControlNet LoRA support are separate features in different pipelines." + }, + { + "left": "pull_request:3472", + "right": "pull_request:3945", + "accept": false, + "reason": "Dreambooth IF docs vs Dreambooth LoRA rank parameter; different parts of the training workflow." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 35, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:3642", + "pull_request:3795", + "pull_request:386", + "pull_request:3945", + "pull_request:4044", + "pull_request:4113", + "pull_request:4211", + "pull_request:4227", + "pull_request:4503", + "pull_request:4595", + "pull_request:4652", + "pull_request:4696", + "pull_request:4717", + "pull_request:4745", + "pull_request:4749", + "pull_request:4760", + "pull_request:4847", + "pull_request:4893", + "pull_request:4946", + "pull_request:4947", + "pull_request:5033", + "pull_request:5051", + "pull_request:5144", + "pull_request:5361", + "pull_request:5411", + "pull_request:5511", + "pull_request:5671", + "pull_request:5750", + "pull_request:6140", + "pull_request:6145", + "pull_request:6174", + "pull_request:6202", + "pull_request:6216", + "pull_request:6245", + "pull_request:6361", + "pull_request:6376", + "pull_request:6401", + "pull_request:6403", + "pull_request:6499", + "pull_request:6523", + "pull_request:6528", + "pull_request:6566", + "pull_request:6724", + "pull_request:6775", + "pull_request:6999", + "pull_request:7118", + "pull_request:7360", + "pull_request:903" + ], + "soft_pairs": [ + "pull_request:3642|pull_request:5750", + "pull_request:3795|pull_request:4227", + "pull_request:386|pull_request:903", + "pull_request:3945|pull_request:6403", + "pull_request:4044|pull_request:4211", + "pull_request:4113|pull_request:6202", + "pull_request:4503|pull_request:6724", + "pull_request:4595|pull_request:4847", + "pull_request:4595|pull_request:6376", + "pull_request:4652|pull_request:4749", + "pull_request:4696|pull_request:4947", + "pull_request:4717|pull_request:6528", + "pull_request:4745|pull_request:5033", + "pull_request:4760|pull_request:5411", + "pull_request:4893|pull_request:4946", + "pull_request:5051|pull_request:7118", + "pull_request:5144|pull_request:7360", + "pull_request:5361|pull_request:5671", + "pull_request:5511|pull_request:6999", + "pull_request:6140|pull_request:6499", + "pull_request:6145|pull_request:6523", + "pull_request:6174|pull_request:6775", + "pull_request:6216|pull_request:6401", + "pull_request:6245|pull_request:6361", + "pull_request:6361|pull_request:6566" + ], + "prepared_review_unit_hash": "1e13107558ff550275e6091ede07969f39c5bcaa34eec9632ab71cf1df132a08", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 93993, + "estimated_input_tokens": 23499, + "estimated_eval_tokens": 47254 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The candidate pairs are mostly unrelated docs, tests, or feature PRs touching similar subsystems but not the same concrete bug/change. I would not merge any of the soft-edge pairs.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical duplicate exists; if one PR must represent the cluster, #5033 is the strongest standalone bug fix because it patches a concrete inpaint code path across multiple pipelines and includes tests.", + "best_issue_reason": null, + "best_pr_reason": "#5033 is the best single PR to anchor the cluster: it fixes a specific functional bug in inpaint latent handling across several pipelines, is well-scoped, and has test coverage.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3642", + "right": "pull_request:5750", + "accept": false, + "reason": "Different areas and purposes: a new TensorRT inpainting pipeline vs. a broad Stable Diffusion reference/introduction PR." + }, + { + "left": "pull_request:3795", + "right": "pull_request:4227", + "accept": false, + "reason": "Both are docs-related, but one updates overview pages while the other fixes a missing import in a textual inversion example; unrelated changes." + }, + { + "left": "pull_request:386", + "right": "pull_request:903", + "accept": false, + "reason": "Both touch Stable Diffusion docs/inpaint files, but one is a docs-only pipeline writeup and the other deprecates the legacy inpainting pipeline." + }, + { + "left": "pull_request:3945", + "right": "pull_request:6403", + "accept": false, + "reason": "Different training-script changes: DreamBooth LoRA rank parameter vs. adding WebUI format support to advanced training." + }, + { + "left": "pull_request:4044", + "right": "pull_request:4211", + "accept": false, + "reason": "Unrelated docstring/doc fixes in different pipelines; no shared bug or code path." + }, + { + "left": "pull_request:4113", + "right": "pull_request:6202", + "accept": false, + "reason": "One fixes dtype handling in SDXL inpaint; the other changes prompt-embed handling in Stable Diffusion/Alt Diffusion. Same broad theme, different bugs." + }, + { + "left": "pull_request:4503", + "right": "pull_request:6724", + "accept": false, + "reason": "Both edit lora.md, but they address different documentation topics: SDXL/LyCORIS support vs. rank description." + }, + { + "left": "pull_request:4595", + "right": "pull_request:4847", + "accept": false, + "reason": "Completely different community/example additions: a WIP XL conversion script vs. Prompt Free Diffusion." + }, + { + "left": "pull_request:4595", + "right": "pull_request:6376", + "accept": false, + "reason": "Different community example work with different models and goals; not the same change." + }, + { + "left": "pull_request:4652", + "right": "pull_request:4749", + "accept": false, + "reason": "One fixes LoRA tests, the other fixes DreamBooth LoRA checkpointing logic; related area but different code paths and bugs." + }, + { + "left": "pull_request:4696", + "right": "pull_request:4947", + "accept": false, + "reason": "Model implementation for T2I-Adapter-XL vs. training-script tests for SDXL adapter; not the same concrete issue." + }, + { + "left": "pull_request:4717", + "right": "pull_request:6528", + "accept": false, + "reason": "Docs typo fix in ControlNet vs. a functional ControlNet IP-Adapter img2img code fix; unrelated." + }, + { + "left": "pull_request:4745", + "right": "pull_request:5033", + "accept": false, + "reason": "Both are pipeline bugs, but one is optional-component loading in from_pretrained and the other is inpaint latent/mask handling; distinct fixes." + }, + { + "left": "pull_request:4760", + "right": "pull_request:5411", + "accept": false, + "reason": "Both are broken-link doc fixes, but they target different docs and links; not the same underlying change." + }, + { + "left": "pull_request:4893", + "right": "pull_request:4946", + "accept": false, + "reason": "LoRA fusion/scaling docs vs. training-overview entry updates; unrelated documentation changes." + }, + { + "left": "pull_request:5051", + "right": "pull_request:7118", + "accept": false, + "reason": "Both are typo/doc cleanup PRs, but for different docs and examples; no duplicate bug/change." + }, + { + "left": "pull_request:5144", + "right": "pull_request:7360", + "accept": false, + "reason": "BLIP Diffusion sample-code punctuation fix vs. TCD scheduler docs/type annotation fixes; unrelated." + }, + { + "left": "pull_request:5361", + "right": "pull_request:5671", + "accept": false, + "reason": "Both are DO NOT MERGE workflow/test-related PRs, but they address different CI/debugging concerns." + }, + { + "left": "pull_request:5511", + "right": "pull_request:6999", + "accept": false, + "reason": "Different functional bugs in different pipelines/schedulers; only loosely related by being pipeline fixes." + }, + { + "left": "pull_request:6140", + "right": "pull_request:6499", + "accept": false, + "reason": "Separate API docs additions for different loader systems (IP-Adapter vs PEFT)." + }, + { + "left": "pull_request:6145", + "right": "pull_request:6523", + "accept": false, + "reason": "Both are consistency-distillation script fixes, but one is a comment cleanup and the other is a real time-cond-proj bug fix." + }, + { + "left": "pull_request:6174", + "right": "pull_request:6775", + "accept": false, + "reason": "Unrelated docs fixes: a missing backslash in lora.md vs. adding a scheduler parameter docstring." + }, + { + "left": "pull_request:6216", + "right": "pull_request:6401", + "accept": false, + "reason": "Both touch the LoRA PEFT test suite, but one fixes PEFT 0.7.0 compatibility and the other removes unused test components." + }, + { + "left": "pull_request:6245", + "right": "pull_request:6361", + "accept": false, + "reason": "Different scripts and bugs: Wuerstchen fp16/LoRA args vs. advanced DreamBooth LoRA key-format handling." + }, + { + "left": "pull_request:6361", + "right": "pull_request:6566", + "accept": false, + "reason": "Same file family, but one changes LoRA save-format keys while the other fixes resume training behavior; not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 36, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10206", + "pull_request:10271", + "pull_request:10351", + "pull_request:10810", + "pull_request:11595", + "pull_request:11755", + "pull_request:11994", + "pull_request:12069", + "pull_request:12269", + "pull_request:12416", + "pull_request:13042", + "pull_request:13119", + "pull_request:13209", + "pull_request:13313", + "pull_request:13469", + "pull_request:1788", + "pull_request:2415", + "pull_request:2795", + "pull_request:325", + "pull_request:360", + "pull_request:3641", + "pull_request:4188", + "pull_request:4262", + "pull_request:4272", + "pull_request:5164", + "pull_request:5506", + "pull_request:5792", + "pull_request:5943", + "pull_request:6426", + "pull_request:6448", + "pull_request:6528", + "pull_request:6555", + "pull_request:6564", + "pull_request:6816", + "pull_request:6875", + "pull_request:6941", + "pull_request:7086", + "pull_request:7634", + "pull_request:788", + "pull_request:8630", + "pull_request:8825", + "pull_request:8926", + "pull_request:9152", + "pull_request:9251", + "pull_request:9257", + "pull_request:9705", + "pull_request:9775" + ], + "soft_pairs": [ + "pull_request:6426|pull_request:6448", + "pull_request:6528|pull_request:6875", + "pull_request:6555|pull_request:8630", + "pull_request:6816|pull_request:8926", + "pull_request:6941|pull_request:8825", + "pull_request:7086|pull_request:8825", + "pull_request:9152|pull_request:9775", + "pull_request:9257|pull_request:9705", + "pull_request:12269|pull_request:12416", + "pull_request:10271|pull_request:9251", + "pull_request:13119|pull_request:13313", + "pull_request:13209|pull_request:13313", + "pull_request:1788|pull_request:788", + "pull_request:2415|pull_request:2795", + "pull_request:3641|pull_request:5506", + "pull_request:4188|pull_request:4262", + "pull_request:4272|pull_request:5792", + "pull_request:5164|pull_request:5943", + "pull_request:6564|pull_request:7634", + "pull_request:10206|pull_request:9257", + "pull_request:10810|pull_request:11595", + "pull_request:325|pull_request:360", + "pull_request:13042|pull_request:13469", + "pull_request:10351|pull_request:11755", + "pull_request:11994|pull_request:12069" + ], + "prepared_review_unit_hash": "fd5aa1f8b3cf5223074a32bdbeb67f7c51861fa6b9b577bfdcc4b06345aae886", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 99552, + "estimated_input_tokens": 24888, + "estimated_eval_tokens": 50032 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a mix of unrelated pull requests. Most pairs only share broad subsystems like LoRA, tests, or pipeline utilities, but they fix different concrete bugs or add different features, so I reject all soft duplicate edges and find no single canonical PR for the set.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:6426", + "right": "pull_request:6448", + "accept": false, + "reason": "Both touch old-backend LoRA tests, but they address different test assertions and cleanup behavior, not the same bug/change." + }, + { + "left": "pull_request:6528", + "right": "pull_request:6875", + "accept": false, + "reason": "Both involve IP-Adapter ControlNet image handling, but one fixes missing code paths and the other updates expected test outputs; not the same concrete fix." + }, + { + "left": "pull_request:6555", + "right": "pull_request:8630", + "accept": false, + "reason": "Both are training-script LoRA changes, but one is torch.compile compatibility for SD LoRA training while the other adds SD3 CLIP text-encoder training." + }, + { + "left": "pull_request:6816", + "right": "pull_request:8926", + "accept": false, + "reason": "Both relate to SDXL DreamBooth LoRA, but one fixes DDP+PEFT embedding unwrapping and the other fixes checkpoint saving in the advanced script." + }, + { + "left": "pull_request:6941", + "right": "pull_request:8825", + "accept": false, + "reason": "Both add IP-Adapter/ControlNet support, but for different pipelines and different integration paths; not mergeable as one PR." + }, + { + "left": "pull_request:7086", + "right": "pull_request:8825", + "accept": false, + "reason": "AnimateDiff img2vid/controlnet IP-Adapter work is a different feature area from SDXL K-Diffusion ControlNet/IP-Adapter support." + }, + { + "left": "pull_request:9152", + "right": "pull_request:9775", + "accept": false, + "reason": "One is distributed inference docs; the other is a README note for Flux LoRA quantization. Same documentation category, but unrelated content." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9705", + "accept": false, + "reason": "Both are Flux training-script changes, but one fixes prompt/tokenization logic in the script and the other only updates README guidance." + }, + { + "left": "pull_request:12269", + "right": "pull_request:12416", + "accept": false, + "reason": "These are related to modular pipeline support, but one adds Flux Kontext and the other adds QwenImage Edit Plus; different models/features." + }, + { + "left": "pull_request:10271", + "right": "pull_request:9251", + "accept": false, + "reason": "One is TorchAO serialization test refactoring; the other changes CI trigger rules. No shared bug or code path." + }, + { + "left": "pull_request:13119", + "right": "pull_request:13313", + "accept": false, + "reason": "Both touch LoRA conversion utilities, but 13119 fixes Flux2 key handling while 13313 fixes Klein LoRA loading; distinct conversion paths." + }, + { + "left": "pull_request:13209", + "right": "pull_request:13313", + "accept": false, + "reason": "ZImage LoRA normalization and Klein LoRA loading are separate converter fixes with different affected key formats." + }, + { + "left": "pull_request:1788", + "right": "pull_request:788", + "accept": false, + "reason": "DDIM scheduler sample-prediction bug and PIL sampler warning fixes are unrelated." + }, + { + "left": "pull_request:2415", + "right": "pull_request:2795", + "accept": false, + "reason": "One is a pipeline_utils import/version guard; the other is a research LoRA training script update. No same underlying change." + }, + { + "left": "pull_request:3641", + "right": "pull_request:5506", + "accept": false, + "reason": "Both affect diffusion/inpainting math paths, but one fixes initial-latent handling in inpaint pipelines and the other fixes PEFT LoRA with xformers attention." + }, + { + "left": "pull_request:4188", + "right": "pull_request:4262", + "accept": false, + "reason": "Both are SDXL training fixes, but one addresses dataset fingerprinting for ControlNet training and the other covers DreamBooth LoRA repeat/serialization issues." + }, + { + "left": "pull_request:4272", + "right": "pull_request:5792", + "accept": false, + "reason": "Missing optional imports vs import path cleanup across community scripts are related only at a very broad import-hygiene level, not the same bug." + }, + { + "left": "pull_request:5164", + "right": "pull_request:5943", + "accept": false, + "reason": "FreeU is a generation-quality mechanism; transformer_2d gradient checkpointing is a model training/runtime capability. Different changes." + }, + { + "left": "pull_request:6564", + "right": "pull_request:7634", + "accept": false, + "reason": "Both involve IP-Adapter path handling for different components, but one fixes image-encoder subfolder resolution while the other adds a high-res fix UNet variant." + }, + { + "left": "pull_request:10206", + "right": "pull_request:9257", + "accept": false, + "reason": "Both are LoRA/Flux related, but one supports unload_lora_weights for Flux Control and the other aligns the Flux dreambooth script prompt handling." + }, + { + "left": "pull_request:10810", + "right": "pull_request:11595", + "accept": false, + "reason": "Both modify LoRA conversion logic, but 10810 improves Flux support broadly while 11595 fixes load_lora_weights for Flux and PEFT base-layer handling." + }, + { + "left": "pull_request:325", + "right": "pull_request:360", + "accept": false, + "reason": "These are unrelated type-hint updates for different components; they do not fix the same bug or feature." + }, + { + "left": "pull_request:13042", + "right": "pull_request:13469", + "accept": false, + "reason": "QwenImage prompt isolation tests and deprecated attention processor tests are entirely different test concerns." + }, + { + "left": "pull_request:10351", + "right": "pull_request:11755", + "accept": false, + "reason": "One is a LoRA test input refactor; the other is a pipeline offload fix for LTX latent upsample. No shared underlying issue." + }, + { + "left": "pull_request:11994", + "right": "pull_request:12069", + "accept": false, + "reason": "One fixes hub auth/login references across docs/examples; the other patches AudioLDM2 version-conditional cache-position kwargs. Different areas and causes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 37, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10127", + "pull_request:102", + "pull_request:1020", + "pull_request:10232", + "pull_request:10250", + "pull_request:10278", + "pull_request:10319", + "pull_request:1041", + "pull_request:10429", + "pull_request:10504", + "pull_request:10505", + "pull_request:10517", + "pull_request:10609", + "pull_request:10756", + "pull_request:10826", + "pull_request:10858", + "pull_request:1087", + "pull_request:10888", + "pull_request:10978", + "pull_request:10990", + "pull_request:1104", + "pull_request:11124", + "pull_request:11142", + "pull_request:113", + "pull_request:11325", + "pull_request:1136", + "pull_request:11469", + "pull_request:11531", + "pull_request:11634", + "pull_request:11755", + "pull_request:11802", + "pull_request:11847", + "pull_request:11879", + "pull_request:12030", + "pull_request:12035", + "pull_request:12360", + "pull_request:12714", + "pull_request:17", + "pull_request:2062", + "pull_request:22", + "pull_request:2208", + "pull_request:2369", + "pull_request:2476", + "pull_request:408", + "pull_request:774", + "pull_request:9266", + "pull_request:9832" + ], + "soft_pairs": [ + "pull_request:10127|pull_request:11469", + "pull_request:11755|pull_request:12714", + "pull_request:11802|pull_request:12714", + "pull_request:2369|pull_request:2476", + "pull_request:102|pull_request:1020", + "pull_request:1020|pull_request:2208", + "pull_request:10232|pull_request:9266", + "pull_request:10250|pull_request:10429", + "pull_request:10278|pull_request:10319", + "pull_request:10278|pull_request:11325", + "pull_request:10319|pull_request:11325", + "pull_request:1041|pull_request:17", + "pull_request:1041|pull_request:408", + "pull_request:10504|pull_request:10609", + "pull_request:10504|pull_request:11879", + "pull_request:10505|pull_request:10609", + "pull_request:10505|pull_request:11879", + "pull_request:10517|pull_request:11142", + "pull_request:10756|pull_request:9832", + "pull_request:10826|pull_request:12030", + "pull_request:10858|pull_request:11847", + "pull_request:1087|pull_request:1104", + "pull_request:10888|pull_request:12035", + "pull_request:10978|pull_request:10990", + "pull_request:1104|pull_request:22", + "pull_request:11124|pull_request:11755", + "pull_request:113|pull_request:774", + "pull_request:11325|pull_request:11847", + "pull_request:11325|pull_request:12360", + "pull_request:1136|pull_request:2062", + "pull_request:11531|pull_request:11634" + ], + "prepared_review_unit_hash": "940be00f67def3f16bb71dc3c1289c768327a10fd1df25d80bbf7063a2563d7e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 31, + "serialized_chars": 96123, + "estimated_input_tokens": 24031, + "estimated_eval_tokens": 48318 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose mix of unrelated docs, tests, and feature PRs rather than a single duplicate thread. 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The only strong duplicate-like pair is the docs workflow token rename in PRs 3744 and 3745; the rest should stay separate.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 3745 is the best canonical representative for the only true duplicate-like change here: it makes the same HF_DOC_PUSH -> HF_DOC_BUILD_PUSH secret rename as PR 3744, just in the build docs workflow.", + "best_issue_reason": null, + "best_pr_reason": "PR 3745 is the cleanest representative of the cluster\u2019s sole real overlap; it matches PR 3744 on the same workflow-token rename and is the more general of the two token-fix PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3744", + "right": "pull_request:3745", + "accept": true, + "reason": "Same underlying token rename in docs workflows; both switch HF_DOC_PUSH to HF_DOC_BUILD_PUSH and could plausibly be one PR." + }, + { + "left": "pull_request:382", + "right": "pull_request:386", + "accept": false, + "reason": "Both are docs additions, but they document different pipelines and different content." + }, + { + "left": "pull_request:3821", + "right": "pull_request:5286", + "accept": false, + "reason": "Different translations/doc pages; 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related project area, but not the same concrete change." + }, + { + "left": "pull_request:42", + "right": "pull_request:62", + "accept": false, + "reason": "One adds LDM-related test coverage; the other fixes the latent diffusion uncond pipeline behavior." + }, + { + "left": "pull_request:421", + "right": "pull_request:710", + "accept": false, + "reason": "Both are documentation-style fixes, but they address different doc files and issues." + }, + { + "left": "pull_request:4320", + "right": "pull_request:5066", + "accept": false, + "reason": "ONNX docs typo and attention_processor code typo are unrelated." + }, + { + "left": "pull_request:4330", + "right": "pull_request:5454", + "accept": false, + "reason": "Different docs pages and different fixes; not the same underlying change." + }, + { + "left": "pull_request:4330", + "right": "pull_request:6438", + "accept": false, + "reason": "README_sdxl header fix vs installation note; unrelated documentation changes." + }, + { + "left": "pull_request:4352", + "right": "pull_request:4887", + "accept": false, + "reason": "Kandinsky combined pipeline memory/offload helpers vs removal of latent input in a different pipeline." + }, + { + "left": "pull_request:4380", + "right": "pull_request:5640", + "accept": false, + "reason": "Different documentation updates for different topics; not duplicates." + }, + { + "left": "pull_request:4570", + "right": "pull_request:5682", + "accept": false, + "reason": "AnimateDiff implementation/WIP vs follow-up checks; related area but distinct change sets." + }, + { + "left": "pull_request:46", + "right": "pull_request:55", + "accept": false, + "reason": "Both refactor resnet code, but for different legacy model families and not the same fix." + }, + { + "left": "pull_request:46", + "right": "pull_request:59", + "accept": false, + "reason": "Same broad resnet refactor theme, but different model integration work." + }, + { + "left": "pull_request:4666", + "right": "pull_request:5943", + "accept": false, + "reason": "SDXL ControlNet LoRA support vs gradient checkpointing for transformer_2d are unrelated changes." + }, + { + "left": "pull_request:4749", + "right": "pull_request:4833", + "accept": false, + "reason": "SDXL DreamBooth LoRA checkpointing and LoRA unfuse behavior are separate code-path problems." + }, + { + "left": "pull_request:4855", + "right": "pull_request:5506", + "accept": false, + "reason": "Offload/side-loading support vs PEFT+xformers attention fix are unrelated." + }, + { + "left": "pull_request:4934", + "right": "pull_request:6592", + "accept": false, + "reason": "Two different example training scripts for different tasks; not a duplicate change." + }, + { + "left": "pull_request:5", + "right": "pull_request:6", + "accept": false, + "reason": "PR 6 is a follow-up init/export change for the model added in PR 5, not the same underlying change." + }, + { + "left": "pull_request:5267", + "right": "pull_request:6669", + "accept": false, + "reason": "Different README/documentation updates in different files with unrelated content." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet, and the soft-edge verdicts stay conservative. The 3744/3745 pair is plausibly mergeable as one token-rename fix, while the other pairs are appropriately kept separate without overstating overlap." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 43, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:5499", + "pull_request:55", + "pull_request:5506", + "pull_request:555", + "pull_request:5698", + "pull_request:5707", + "pull_request:5727", + "pull_request:5745", + "pull_request:5818", + "pull_request:5823", + "pull_request:5855", + "pull_request:59", + "pull_request:5983", + "pull_request:6002", + "pull_request:6198", + "pull_request:6314", + "pull_request:6433", + "pull_request:6462", + "pull_request:6475", + "pull_request:6669", + "pull_request:6837", + "pull_request:6998", + "pull_request:7015", + "pull_request:7181", + "pull_request:7319", + "pull_request:7324", + "pull_request:7325", + "pull_request:74", + "pull_request:7425", + "pull_request:7472", + "pull_request:7709", + "pull_request:7797", + "pull_request:7867", + "pull_request:798", + "pull_request:824", + "pull_request:8403", + "pull_request:8426", + "pull_request:8470", + "pull_request:8600", + "pull_request:8851", + "pull_request:8932", + "pull_request:9", + "pull_request:9024", + "pull_request:9066", + "pull_request:9107", + "pull_request:9266", + "pull_request:972", + "pull_request:975" + ], + "soft_pairs": [ + "pull_request:5499|pull_request:6998", + "pull_request:55|pull_request:59", + "pull_request:5506|pull_request:5823", + "pull_request:555|pull_request:824", + "pull_request:5698|pull_request:6198", + "pull_request:5707|pull_request:5727", + "pull_request:5745|pull_request:6475", + "pull_request:5745|pull_request:7015", + "pull_request:5818|pull_request:7324", + "pull_request:5855|pull_request:6669", + "pull_request:5983|pull_request:6002", + "pull_request:6314|pull_request:7472", + "pull_request:6433|pull_request:8426", + "pull_request:6462|pull_request:7472", + "pull_request:6837|pull_request:8851", + "pull_request:7181|pull_request:7325", + "pull_request:7319|pull_request:9066", + "pull_request:74|pull_request:9", + "pull_request:7425|pull_request:8851", + "pull_request:7709|pull_request:8403", + "pull_request:7797|pull_request:8932", + "pull_request:7867|pull_request:9024", + "pull_request:798|pull_request:972", + "pull_request:798|pull_request:975", + "pull_request:8470|pull_request:9266", + "pull_request:8600|pull_request:9107" + ], + "prepared_review_unit_hash": "088ce8737ad2b77df9a303e7dbcf3e38ee641558ab200b36a1e55cd45ce8c621", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 97306, + "estimated_input_tokens": 24327, + "estimated_eval_tokens": 48910 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is a heterogeneous mix of unrelated docs fixes, workflow tweaks, tests, and model/pipeline changes. None of the proposed soft edges look like the same underlying bug/change, so I rejected all of them.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:5499", + "right": "pull_request:6998", + "accept": false, + "reason": "Both are docs-only link/callout fixes in different files and for different topics; they do not address the same underlying change." + }, + { + "left": "pull_request:55", + "right": "pull_request:59", + "accept": false, + "reason": "Both touch resnet code, but one merges Glide resnet into the general resnet and the other expands a different 2D resnet implementation; they are separate refactors." + }, + { + "left": "pull_request:5506", + "right": "pull_request:5823", + "accept": false, + "reason": "Both involve LoRA/PEFT, but one fixes xFormers scale handling in attention processors while the other adds adapter_names support to fuse_lora; different code paths and goals." + }, + { + "left": "pull_request:555", + "right": "pull_request:824", + "accept": false, + "reason": "Both concern Flax, but one adds Flax VAE support and the other adds Flax test/util changes; not the same code change." + }, + { + "left": "pull_request:5698", + "right": "pull_request:6198", + "accept": false, + "reason": "One fixes LCM img2img behavior in pipelines, the other changes benchmark reporting for LCM; unrelated changes." + }, + { + "left": "pull_request:5707", + "right": "pull_request:5727", + "accept": false, + "reason": "Both are LCM-related, but one adds tests and the other adds training scripts/README; not the same concrete fix." + }, + { + "left": "pull_request:5745", + "right": "pull_request:6475", + "accept": false, + "reason": "Both are doc/example edits for different model types (ConsistencyDecoder vs SVD VAE type); different changes." + }, + { + "left": "pull_request:5745", + "right": "pull_request:7015", + "accept": false, + "reason": "These fix different documentation examples in different areas and files; no shared bug/change." + }, + { + "left": "pull_request:5818", + "right": "pull_request:7324", + "accept": false, + "reason": "Workflow matrix setup vs stable-cascade test updates are unrelated CI/test changes." + }, + { + "left": "pull_request:5855", + "right": "pull_request:6669", + "accept": false, + "reason": "Both are README wording fixes, but they update different examples and content; not the same underlying issue." + }, + { + "left": "pull_request:5983", + "right": "pull_request:6002", + "accept": false, + "reason": "One is an SVD doc update and the other fixes Stable Video Diffusion guidance-scale logic in code; different artifacts and problem types." + }, + { + "left": "pull_request:6314", + "right": "pull_request:7472", + "accept": false, + "reason": "Both fix broken links in docs, but they target different documents and different link errors." + }, + { + "left": "pull_request:6433", + "right": "pull_request:8426", + "accept": false, + "reason": "A community pipeline addition vs a CI dependency install change; completely unrelated." + }, + { + "left": "pull_request:6462", + "right": "pull_request:7472", + "accept": false, + "reason": "One updates an aMUSEd paper link, the other fixes an examples README link; same broad docs domain but not the same change." + }, + { + "left": "pull_request:6837", + "right": "pull_request:8851", + "accept": false, + "reason": "Both touch docs around model/pipeline examples, but one is an i2vgen-xl doc dependency fix and the other adds AuraFlow docs and code; different changes." + }, + { + "left": "pull_request:7181", + "right": "pull_request:7325", + "accept": false, + "reason": "Both are typo/docs sweep PRs, but they cover different files and distinct sets of edits; not mergeable as one duplicate." + }, + { + "left": "pull_request:7319", + "right": "pull_request:9066", + "accept": false, + "reason": "Both modify docs to add scheduler/model pages, but one adds EDM scheduler docs and the other adds StableCascadeUNet docs; different additions." + }, + { + "left": "pull_request:74", + "right": "pull_request:9", + "accept": false, + "reason": "Both are early model architecture additions, but one adds a Grad-TTS mid block and the other introduces the Grad-TTS UNet/pipeline; related project area, not the same change." + }, + { + "left": "pull_request:7425", + "right": "pull_request:8851", + "accept": false, + "reason": "One is a small docs typo/output-image fix, the other adds AuraFlow docs and implementation; unrelated." + }, + { + "left": "pull_request:7709", + "right": "pull_request:8403", + "accept": false, + "reason": "Both touch GitHub workflows/tailscale, but one adds the tailscale action and the other changes its version target; separate CI changes." + }, + { + "left": "pull_request:7797", + "right": "pull_request:8932", + "accept": false, + "reason": "Both adjust tests to smaller/coverage-focused model configs, but for different pipelines/models and different test goals." + }, + { + "left": "pull_request:7867", + "right": "pull_request:9024", + "accept": false, + "reason": "Both alter CI cache-related workflow settings, but one changes cache mounts and the other changes runner groups and broader CI setup; not the same fix." + }, + { + "left": "pull_request:798", + "right": "pull_request:972", + "accept": false, + "reason": "One fixes a docstring in a UNet model, the other fixes a torch_dtype typo in the README; unrelated documentation changes." + }, + { + "left": "pull_request:798", + "right": "pull_request:975", + "accept": false, + "reason": "One is a code docstring fix and the other is a docs title correction; different files and issues." + }, + { + "left": "pull_request:8470", + "right": "pull_request:9266", + "accept": false, + "reason": "Both are README/docs updates, but one rewrites a research-project README while the other adds a community projects entry; not the same underlying change." + }, + { + "left": "pull_request:8600", + "right": "pull_request:9107", + "accept": false, + "reason": "Both touch SD3 dreambooth code, but one fixes text-encoder cleanup and the other fixes a loading hook state-dict key filter; different bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 44, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10205", + "pull_request:10810", + "pull_request:11067", + "pull_request:11894", + "pull_request:11994", + "pull_request:12086", + "pull_request:12445", + "pull_request:12530", + "pull_request:12782", + "pull_request:13039", + "pull_request:13164", + "pull_request:13323", + "pull_request:1355", + "pull_request:1564", + "pull_request:1582", + "pull_request:1583", + "pull_request:1966", + "pull_request:2339", + "pull_request:2464", + "pull_request:2470", + "pull_request:3037", + "pull_request:5312", + "pull_request:5759", + "pull_request:6217", + "pull_request:6646", + "pull_request:6898", + "pull_request:6908", + "pull_request:6999", + "pull_request:7632", + "pull_request:8627", + "pull_request:8660", + "pull_request:8684", + "pull_request:8797", + "pull_request:8883", + "pull_request:9021", + "pull_request:9024", + "pull_request:9048", + "pull_request:9060", + "pull_request:9175", + "pull_request:9257", + "pull_request:9400", + "pull_request:9506", + "pull_request:9507", + "pull_request:9696", + "pull_request:9705", + "pull_request:980", + "pull_request:981" + ], + "soft_pairs": [ + "pull_request:8627|pull_request:9400", + "pull_request:8660|pull_request:9060", + "pull_request:8684|pull_request:9506", + "pull_request:8797|pull_request:9696", + "pull_request:8883|pull_request:9024", + "pull_request:9021|pull_request:9257", + "pull_request:9048|pull_request:9705", + "pull_request:980|pull_request:981", + "pull_request:1355|pull_request:1966", + "pull_request:12086|pull_request:12445", + "pull_request:5312|pull_request:5759", + "pull_request:6898|pull_request:6908", + "pull_request:9175|pull_request:9507", + "pull_request:11994|pull_request:12782", + "pull_request:12782|pull_request:13323", + "pull_request:13039|pull_request:13323", + "pull_request:1564|pull_request:2339", + "pull_request:2470|pull_request:3037", + "pull_request:6217|pull_request:7632", + "pull_request:6646|pull_request:6999", + "pull_request:10205|pull_request:10810", + "pull_request:11067|pull_request:11894", + "pull_request:12530|pull_request:13164", + "pull_request:1582|pull_request:2464", + "pull_request:1583|pull_request:2464" + ], + "prepared_review_unit_hash": "ee041b9da1d5558ad73beb3db1491f4f59605061c466dd33deb8bd7613651f45", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 98371, + "estimated_input_tokens": 24593, + "estimated_eval_tokens": 49442 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: most pairs only share a broad subsystem or wording, not the same underlying bug/change. I would reject every soft edge; none are safe duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a safe canonical for this cluster; the items span unrelated docs, CI, tests, and feature/fix changes.", + "best_issue_reason": null, + "best_pr_reason": "If forced to pick one representative, PR 9507 is the strongest standalone code-fix PR, but it is not a duplicate of the others and the cluster is too mixed for a true canonical.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8627", + "right": "pull_request:9400", + "accept": false, + "reason": "Different changes: SD3 ControlNet test/docs additions vs device-agnostic single-file test helper updates." + }, + { + "left": "pull_request:8660", + "right": "pull_request:9060", + "accept": false, + "reason": "Different bugs: SD3 ControlNet max_sequence_length validation vs removing a debug print in Flux transformer." + }, + { + "left": "pull_request:8684", + "right": "pull_request:9506", + "accept": false, + "reason": "Different docs fixes in different files; one is a Pillow import note, the other is text-to-video/coreml doc cleanup." + }, + { + "left": "pull_request:8797", + "right": "pull_request:9696", + "accept": false, + "reason": "Different areas: sharding test adjustments vs workflow input validation for PR test runs." + }, + { + "left": "pull_request:8883", + "right": "pull_request:9024", + "accept": false, + "reason": "Both are CI/workflow changes, but they fix different infrastructure issues and are not one concrete change." + }, + { + "left": "pull_request:9021", + "right": "pull_request:9257", + "accept": false, + "reason": "Different products and code paths: SD3 ControlNet layer loading vs Flux DreamBooth tokenization/text input handling." + }, + { + "left": "pull_request:9048", + "right": "pull_request:9705", + "accept": false, + "reason": "Both touch Flux docs/readmes, but they are separate documentation edits with no shared bug or change." + }, + { + "left": "pull_request:980", + "right": "pull_request:981", + "accept": false, + "reason": "Same project, different issues: FP16/audio dtype changes vs a naming/doc API change." + }, + { + "left": "pull_request:1355", + "right": "pull_request:1966", + "accept": false, + "reason": "Both add Flax pipelines, but img2img and inpainting are distinct features with different code paths." + }, + { + "left": "pull_request:12086", + "right": "pull_request:12445", + "accept": false, + "reason": "Related Flux modular work, but one adds Flux I2I support and the other aligns modules with Qwen modular; not the same fix." + }, + { + "left": "pull_request:5312", + "right": "pull_request:5759", + "accept": false, + "reason": "Both improve docs/type hints, but they are broad unrelated documentation refactors rather than one change." + }, + { + "left": "pull_request:6898", + "right": "pull_request:6908", + "accept": false, + "reason": "The SDXL ControlNet model-card file overlaps, but 6908 is a narrower standalone model-card update and not the same change as the multi-script standardization in 6898." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9507", + "accept": false, + "reason": "Same Flux ControlNet area, but one adds Union ControlNet support while the other fixes control mode batching behavior; distinct code-path changes." + }, + { + "left": "pull_request:11994", + "right": "pull_request:12782", + "accept": false, + "reason": "Unrelated fixes: huggingface-hub test failures vs HunyuanVideo 1.5 offloading test tweaks." + }, + { + "left": "pull_request:12782", + "right": "pull_request:13323", + "accept": false, + "reason": "Different test failures: Hunyuan offloading settings vs generic to_device/to_dtype test cleanup." + }, + { + "left": "pull_request:13039", + "right": "pull_request:13323", + "accept": false, + "reason": "Different test fixes in different models: WAN CPU upcasting vs generic device/dtype test behavior." + }, + { + "left": "pull_request:1564", + "right": "pull_request:2339", + "accept": false, + "reason": "Both touch training docs, but default accelerate config and DreamBooth checkpointing are unrelated changes." + }, + { + "left": "pull_request:2470", + "right": "pull_request:3037", + "accept": false, + "reason": "Both are MPS test fixes, but they target different tests and failure modes." + }, + { + "left": "pull_request:6217", + "right": "pull_request:7632", + "accept": false, + "reason": "Unrelated pipelines: Stable Video Diffusion torch.compile VAE handling vs DreamBooth VAE loading path." + }, + { + "left": "pull_request:6646", + "right": "pull_request:6999", + "accept": false, + "reason": "Both are SVD fixes, but one changes resolution constraints and the other fixes image-tensor handling; 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not the same bug." + }, + { + "left": "pull_request:2928", + "right": "pull_request:2994", + "accept": false, + "reason": "Same script family, but one adds local dataset loading and the other fixes type-casting during training; distinct changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 48, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10222", + "pull_request:10402", + "pull_request:10404", + "pull_request:10825", + "pull_request:10858", + "pull_request:11248", + "pull_request:11303", + "pull_request:11505", + "pull_request:11835", + "pull_request:12018", + "pull_request:12231", + "pull_request:12527", + "pull_request:12552", + "pull_request:12775", + "pull_request:12782", + "pull_request:12883", + "pull_request:13382", + "pull_request:1513", + "pull_request:16", + "pull_request:1977", + "pull_request:2172", + "pull_request:2396", + "pull_request:2415", + "pull_request:2490", + "pull_request:260", + "pull_request:2642", + "pull_request:2647", + "pull_request:2684", + "pull_request:2685", + "pull_request:2954", + "pull_request:3128", + "pull_request:327", + "pull_request:3471", + "pull_request:3499", + "pull_request:3546", + "pull_request:3568", + "pull_request:3577", + "pull_request:360", + "pull_request:3716", + "pull_request:3825", + "pull_request:3921", + "pull_request:3942", + "pull_request:4612", + "pull_request:5499", + "pull_request:5979", + "pull_request:9286", + "pull_request:9760" + ], + "soft_pairs": [ + "pull_request:3499|pull_request:3546", + "pull_request:3921|pull_request:5979", + "pull_request:10222|pull_request:9286", + "pull_request:10402|pull_request:10858", + "pull_request:10404|pull_request:11248", + "pull_request:10404|pull_request:11303", + "pull_request:10825|pull_request:9760", + "pull_request:11505|pull_request:12018", + "pull_request:11835|pull_request:12782", + "pull_request:12231|pull_request:12883", + "pull_request:12527|pull_request:12552", + "pull_request:12775|pull_request:13382", + "pull_request:1513|pull_request:3471", + "pull_request:16|pull_request:260", + "pull_request:1977|pull_request:2415", + "pull_request:2172|pull_request:3128", + "pull_request:2396|pull_request:3942", + "pull_request:2490|pull_request:4612", + "pull_request:2642|pull_request:3825", + "pull_request:2647|pull_request:3825", + "pull_request:2684|pull_request:3825", + "pull_request:2685|pull_request:3825", + "pull_request:2954|pull_request:3716", + "pull_request:327|pull_request:360", + "pull_request:3568|pull_request:4612", + "pull_request:3577|pull_request:5499" + ], + "prepared_review_unit_hash": "cafd536d04bad468c33ff9770c2b0c96665e69e7a42345f7ab5e9d76bbd58016", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 94252, + "estimated_input_tokens": 23563, + "estimated_eval_tokens": 47382 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated docs typo/link edits, separate training/test fixes, and distinct pipeline/model changes. The soft edges mostly reflect broad topical similarity (docs, typos, tests, pipelines) rather than the same underlying bug or change, so none should be merged as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents the cluster; the items span unrelated fixes across docs, tests, and different code paths.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR: there is no common underlying change tying these artifacts together.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3499", + "right": "pull_request:3546", + "accept": false, + "reason": "Same panorama file, but one fixes DPMSolver-specific behavior and the other broadens scheduler support; different code-path changes." + }, + { + "left": "pull_request:3921", + "right": "pull_request:5979", + "accept": false, + "reason": "Different features: blended latent diffusion community pipeline vs DDGAN pipeline/scheduler." + }, + { + "left": "pull_request:10222", + "right": "pull_request:9286", + "accept": false, + "reason": "Unrelated changes: ControlNet XLA support vs exporting FluxMultiControlNetModel in __init__." + }, + { + "left": "pull_request:10402", + "right": "pull_request:10858", + "accept": false, + "reason": "Different docs pages and topics; broken hunyuan links vs pipeline overview terminology." + }, + { + "left": "pull_request:10404", + "right": "pull_request:11248", + "accept": false, + "reason": "Both are doc typos, but they fix different files and different wording issues in unrelated pages." + }, + { + "left": "pull_request:10404", + "right": "pull_request:11303", + "accept": false, + "reason": "Same broad docs-typo theme, but unrelated files and corrections; not the same change." + }, + { + "left": "pull_request:10825", + "right": "pull_request:9760", + "accept": false, + "reason": "Different README/doc content updates with no shared bug or change request." + }, + { + "left": "pull_request:11505", + "right": "pull_request:12018", + "accept": false, + "reason": "Both touch docs, but one fixes invalid links and the other renames a quantization section; unrelated." + }, + { + "left": "pull_request:11835", + "right": "pull_request:12782", + "accept": false, + "reason": "Different test failures and models: float16 CUDA tests vs HunyuanVideo offloading tests." + }, + { + "left": "pull_request:12231", + "right": "pull_request:12883", + "accept": false, + "reason": "Both are typo fixes, but they affect different docs/example files and different wording issues." + }, + { + "left": "pull_request:12527", + "right": "pull_request:12552", + "accept": false, + "reason": "Pipeline logic bug fix vs docs typo cleanup; not the same underlying change." + }, + { + "left": "pull_request:12775", + "right": "pull_request:13382", + "accept": false, + "reason": "Different documentation additions: Z-Image docs vs auto-docstring/parameter-template docs." + }, + { + "left": "pull_request:1513", + "right": "pull_request:3471", + "accept": false, + "reason": "Same DreamBooth README, but they add different guidance and address different doc content." + }, + { + "left": "pull_request:16", + "right": "pull_request:260", + "accept": false, + "reason": "Different README files and unrelated typo/wording fixes." + }, + { + "left": "pull_request:1977", + "right": "pull_request:2415", + "accept": false, + "reason": "Different code paths: colossalai seed handling vs transformers-version fallback in pipeline loading." + }, + { + "left": "pull_request:2172", + "right": "pull_request:3128", + "accept": false, + "reason": "Separate training bugs: multi-GPU validation behavior vs img2img timestep selection." + }, + { + "left": "pull_request:2396", + "right": "pull_request:3942", + "accept": false, + "reason": "Different test issues: scheduler warning suppression vs NumPy test cleanup." + }, + { + "left": "pull_request:2490", + "right": "pull_request:4612", + "accept": false, + "reason": "Different docs topics: MultiDiffusion addition vs Instruct Pix2Pix link fixes." + }, + { + "left": "pull_request:2642", + "right": "pull_request:3825", + "accept": false, + "reason": "Both are link edits, but they are in unrelated docs pages and fix different paths." + }, + { + "left": "pull_request:2647", + "right": "pull_request:3825", + "accept": false, + "reason": "Different docs pages and unrelated wording fixes." + }, + { + "left": "pull_request:2684", + "right": "pull_request:3825", + "accept": false, + "reason": "Separate docs corrections on unrelated pages; same broad typo theme is too weak." + }, + { + "left": "pull_request:2685", + "right": "pull_request:3825", + "accept": false, + "reason": "Different docs pages and different small wording fixes." + }, + { + "left": "pull_request:2954", + "right": "pull_request:3716", + "accept": false, + "reason": "Different pipeline additions: TextToVideoZero versus ParaDiGMS." + }, + { + "left": "pull_request:327", + "right": "pull_request:360", + "accept": false, + "reason": "Both are type-hint cleanups, but for different classes/files and unrelated code paths." + }, + { + "left": "pull_request:3568", + "right": "pull_request:4612", + "accept": false, + "reason": "Different docs link fixes in separate tutorial pages." + }, + { + "left": "pull_request:3577", + "right": "pull_request:5499", + "accept": false, + "reason": "Both update links, but one is README-wide branding/URL edits and the other is a broad docs link sweep." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 49, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11469", + "pull_request:11716", + "pull_request:1229", + "pull_request:12418", + "pull_request:12714", + "pull_request:1508", + "pull_request:2892", + "pull_request:3334", + "pull_request:382", + "pull_request:388", + "pull_request:3923", + "pull_request:3987", + "pull_request:4188", + "pull_request:4242", + "pull_request:4352", + "pull_request:4373", + "pull_request:4574", + "pull_request:4707", + "pull_request:4749", + "pull_request:4833", + "pull_request:4859", + "pull_request:5003", + "pull_request:5015", + "pull_request:5051", + "pull_request:5129", + "pull_request:5157", + "pull_request:5202", + "pull_request:5236", + "pull_request:5298", + "pull_request:5420", + "pull_request:5470", + "pull_request:5833", + "pull_request:5834", + "pull_request:6215", + "pull_request:6342", + "pull_request:7050", + "pull_request:7068", + "pull_request:7118", + "pull_request:7632", + "pull_request:8490", + "pull_request:8642", + "pull_request:8860", + "pull_request:9070", + "pull_request:9083", + "pull_request:9086", + "pull_request:9100", + "pull_request:9754", + "pull_request:9760" + ], + "soft_pairs": [ + "pull_request:382|pull_request:388", + "pull_request:3923|pull_request:5236", + "pull_request:3987|pull_request:4707", + "pull_request:4574|pull_request:6342", + "pull_request:5003|pull_request:5298", + "pull_request:5051|pull_request:7068", + "pull_request:5157|pull_request:5833", + "pull_request:7050|pull_request:7118", + "pull_request:8490|pull_request:9760", + "pull_request:8642|pull_request:9100", + "pull_request:8860|pull_request:9760", + "pull_request:9070|pull_request:9083", + "pull_request:9086|pull_request:9754", + "pull_request:4352|pull_request:5470", + "pull_request:5129|pull_request:5202", + "pull_request:1229|pull_request:1508", + "pull_request:2892|pull_request:4373", + "pull_request:3334|pull_request:5015", + "pull_request:4188|pull_request:5420", + "pull_request:4242|pull_request:5833", + "pull_request:4242|pull_request:5834", + "pull_request:4749|pull_request:4859", + "pull_request:4833|pull_request:5157", + "pull_request:6215|pull_request:7632", + "pull_request:11469|pull_request:12418", + "pull_request:11716|pull_request:12714" + ], + "prepared_review_unit_hash": "ce57d02c43c922a88c4cb67039c9d66da6b6884f4477160f6b1c41ac7e56015f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 91928, + "estimated_input_tokens": 22982, + "estimated_eval_tokens": 46220 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated docs updates, CI/test xfails, and several distinct LoRA/Flux/DreamBooth code fixes. I do not see a single duplicate underlying bug or change, so all soft edges are rejected.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR fits the cluster; the items span unrelated fixes and documentation changes across different subsystems and time periods.", + "best_issue_reason": null, + "best_pr_reason": "No clear global best PR for duplicate triage; the cluster does not represent one underlying change, so any choice would be arbitrary.", + "soft_edge_verdicts": [ + { + "left": "pull_request:382", + "right": "pull_request:388", + "accept": false, + "reason": "Both are docs PRs, but they document different pipelines (DDPM vs unconditional latent diffusion) and do not share the same change." + }, + { + "left": "pull_request:3923", + "right": "pull_request:5236", + "accept": false, + "reason": "Unrelated docs fixes: one adds a missing torch import in stable diffusion docs, the other cleans up Korean unconditional image generation formatting." + }, + { + "left": "pull_request:3987", + "right": "pull_request:4707", + "accept": false, + "reason": "Different problems and files: an Audio Diffusion snippet fix vs custom diffusion training README updates." + }, + { + "left": "pull_request:4574", + "right": "pull_request:6342", + "accept": false, + "reason": "Both touch README-style guidance, but one updates InstructPix2Pix hub examples while the other is an installation note; not the same change." + }, + { + "left": "pull_request:5003", + "right": "pull_request:5298", + "accept": false, + "reason": "Both are LoRA-related, but one fixes fuse/unfuse state handling while the other changes conv forward behavior for torch.compile; distinct bugs." + }, + { + "left": "pull_request:5051", + "right": "pull_request:7068", + "accept": false, + "reason": "Both are typo/docs PRs, but they affect different documentation pages and unrelated content." + }, + { + "left": "pull_request:5157", + "right": "pull_request:5833", + "accept": false, + "reason": "ControlNet/Kohya LoRA conversion fix vs Flux single-file loading docs/features; no shared concrete bug." + }, + { + "left": "pull_request:7050", + "right": "pull_request:7118", + "accept": false, + "reason": "Both are typo cleanups, but they target different docs pages and examples rather than one duplicated issue." + }, + { + "left": "pull_request:8490", + "right": "pull_request:9760", + "accept": false, + "reason": "Different README edits in different contexts; these are not the same underlying change." + }, + { + "left": "pull_request:8642", + "right": "pull_request:9100", + "accept": false, + "reason": "Unrelated typo fixes in Stable Diffusion 3 docs vs text-to-image LoRA script help text." + }, + { + "left": "pull_request:8860", + "right": "pull_request:9760", + "accept": false, + "reason": "One is an SD3 README update; the other is a general README wording cleanup. Not the same bug/change." + }, + { + "left": "pull_request:9070", + "right": "pull_request:9083", + "accept": false, + "reason": "Flux img2img pipeline implementation and Flux single-file Transformer support are different features, not one duplicate fix." + }, + { + "left": "pull_request:9086", + "right": "pull_request:9754", + "accept": false, + "reason": "Both are Flux training-related, but one adds DreamBooth LoRA scripts and the other adds a quantized research training project; different codepaths and goals." + }, + { + "left": "pull_request:4352", + "right": "pull_request:5470", + "accept": false, + "reason": "Kandinsky CPU/xformers helpers vs ControlNet inpaint pipeline fixes; unrelated subsystems and changes." + }, + { + "left": "pull_request:5129", + "right": "pull_request:5202", + "accept": false, + "reason": "Both concern LoRA checkpoint handling, but one adds multi-LoRA fuse/unfuse support while the other maps Kohya checkpoint keys; separate problems." + }, + { + "left": "pull_request:1229", + "right": "pull_request:1508", + "accept": false, + "reason": "Both edit DreamBooth README content, but one is training setup guidance and the other clarifies num_class_images behavior; not a duplicate change." + }, + { + "left": "pull_request:2892", + "right": "pull_request:4373", + "accept": false, + "reason": "These affect different Stable Diffusion XL pipeline behaviors: input validation for embeds vs resize/default size handling." + }, + { + "left": "pull_request:3334", + "right": "pull_request:5015", + "accept": false, + "reason": "A docstring formatting fix and a broken-link fix are unrelated documentation edits." + }, + { + "left": "pull_request:4188", + "right": "pull_request:5420", + "accept": false, + "reason": "One changes SDXL ControlNet training caching behavior; the other is a basic training docs follow-up. Different artifacts and purposes." + }, + { + "left": "pull_request:4242", + "right": "pull_request:5833", + "accept": false, + "reason": "Single-file VAE loading support vs Flux single-file loading docs/support are not the same concrete fix." + }, + { + "left": "pull_request:4242", + "right": "pull_request:5834", + "accept": false, + "reason": "Single-file VAE loading support and a ControlNet single-file import path fix are separate loader issues." + }, + { + "left": "pull_request:4749", + "right": "pull_request:4859", + "accept": false, + "reason": "SDXL LoRA checkpointing and SDXL inpaint fast-test fixes address different codepaths and failure modes." + }, + { + "left": "pull_request:4833", + "right": "pull_request:5157", + "accept": false, + "reason": "Both touch LoRA internals, but one fixes fuse/unfuse behavior while the other fixes Kohya/controlnet name conversion; different bugs." + }, + { + "left": "pull_request:6215", + "right": "pull_request:7632", + "accept": false, + "reason": "PixArt test determinism changes and DreamBooth VAE loading are unrelated issues." + }, + { + "left": "pull_request:11469", + "right": "pull_request:12418", + "accept": false, + "reason": "Both xfail tests, but they target different pipelines and different version-triggered failures; not the same failing test set." + }, + { + "left": "pull_request:11716", + "right": "pull_request:12714", + "accept": false, + "reason": "Flux LoRA metadata handling and Flux2 LoRA NaN testing are distinct issues in different codepaths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 50, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10132", + "pull_request:10359", + "pull_request:10497", + "pull_request:10717", + "pull_request:10750", + "pull_request:10867", + "pull_request:11025", + "pull_request:11353", + "pull_request:12055", + "pull_request:12164", + "pull_request:1229", + "pull_request:12526", + "pull_request:12551", + "pull_request:12647", + "pull_request:12983", + "pull_request:13058", + "pull_request:13121", + "pull_request:1513", + "pull_request:1920", + "pull_request:2398", + "pull_request:2588", + "pull_request:2595", + "pull_request:3128", + "pull_request:4272", + "pull_request:4276", + "pull_request:4396", + "pull_request:4621", + "pull_request:4847", + "pull_request:4862", + "pull_request:4886", + "pull_request:5470", + "pull_request:6419", + "pull_request:6448", + "pull_request:6564", + "pull_request:6898", + "pull_request:6907", + "pull_request:6939", + "pull_request:7118", + "pull_request:7131", + "pull_request:7638", + "pull_request:7717", + "pull_request:7738", + "pull_request:7932", + "pull_request:8825", + "pull_request:9207", + "pull_request:9638", + "pull_request:9696" + ], + "soft_pairs": [ + "pull_request:12551|pull_request:12647", + "pull_request:12526|pull_request:13058", + "pull_request:10359|pull_request:9696", + "pull_request:4862|pull_request:5470", + "pull_request:6898|pull_request:6939", + "pull_request:10750|pull_request:9638", + "pull_request:7638|pull_request:7717", + "pull_request:11025|pull_request:11353", + "pull_request:12055|pull_request:12164", + "pull_request:1920|pull_request:2398", + "pull_request:2588|pull_request:4396", + "pull_request:4272|pull_request:4276", + "pull_request:4621|pull_request:6564", + "pull_request:6564|pull_request:8825", + "pull_request:7118|pull_request:9207", + "pull_request:7131|pull_request:9207", + "pull_request:7932|pull_request:9696", + "pull_request:6898|pull_request:6907", + "pull_request:1229|pull_request:1513", + "pull_request:2595|pull_request:3128", + "pull_request:4862|pull_request:4886", + "pull_request:6448|pull_request:7738", + "pull_request:10717|pull_request:10867", + "pull_request:10132|pull_request:10497", + "pull_request:4847|pull_request:6419", + "pull_request:12983|pull_request:13121" + ], + "prepared_review_unit_hash": "629fc3c9a4063eb7772c678543451410880801307248f853bf2f70878b83479d", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 103911, + "estimated_input_tokens": 25978, + "estimated_eval_tokens": 52212 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated PRs across CI, docs, tests, and distinct feature work. None of the soft-edge pairs look like true duplicates of the same underlying bug/change. The clearest standalone PR is Multi IP-Adapter for Flux pipelines because it has a coherent scope, touches the right core files, and explicitly targets an issue.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:10867 is the most canonical standalone PR here: it has an explicit issue target, a coherent feature scope, and a substantial integrated code change across the IP-Adapter/Flux stack.", + "best_issue_reason": null, + "best_pr_reason": "Same reason: it is the strongest self-contained implementation in the set and the most suitable representative PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12551", + "right": "pull_request:12647", + "accept": false, + "reason": "Both skip CI layerwise-casting tests, but they cover different test classes and different failures; not the same change." + }, + { + "left": "pull_request:12526", + "right": "pull_request:13058", + "accept": false, + "reason": "Different features in different LTX/Wan areas; no shared code-path bug or mergeable one-PR overlap." + }, + { + "left": "pull_request:10359", + "right": "pull_request:9696", + "accept": false, + "reason": "One fixes tests, the other changes a workflow trigger/input validation; related area but not the same underlying change." + }, + { + "left": "pull_request:4862", + "right": "pull_request:5470", + "accept": false, + "reason": "Different ControlNet pipeline fixes and docs; they do not address the same concrete bug." + }, + { + "left": "pull_request:6898", + "right": "pull_request:6939", + "accept": false, + "reason": "Both touch model cards, but one is a broad standardization effort and the other is a specific T2I script update." + }, + { + "left": "pull_request:10750", + "right": "pull_request:9638", + "accept": false, + "reason": "Both involve controlnets, but they target different model families and different implementation paths." + }, + { + "left": "pull_request:7638", + "right": "pull_request:7717", + "accept": false, + "reason": "A link correction and docstring style cleanup are unrelated changes." + }, + { + "left": "pull_request:11025", + "right": "pull_request:11353", + "accept": false, + "reason": "Wan LoRA support and Wan-FLF2V support are distinct features with different code paths." + }, + { + "left": "pull_request:12055", + "right": "pull_request:12164", + "accept": false, + "reason": "Initial Qwen-Image support and Qwen Image Edit support are related but separate feature additions." + }, + { + "left": "pull_request:1920", + "right": "pull_request:2398", + "accept": false, + "reason": "Different documentation areas and different changes; no duplicate bug/change." + }, + { + "left": "pull_request:2588", + "right": "pull_request:4396", + "accept": false, + "reason": "Text-encoder LoRA support and a prompt encoding fallback fix are separate issues." + }, + { + "left": "pull_request:4272", + "right": "pull_request:4276", + "accept": false, + "reason": "One fixes optional imports; the other adds an import test. Same subsystem, different change." + }, + { + "left": "pull_request:4621", + "right": "pull_request:6564", + "accept": false, + "reason": "Multi-adapter downscale validation and IP Adapter path generation are unrelated." + }, + { + "left": "pull_request:6564", + "right": "pull_request:8825", + "accept": false, + "reason": "IP Adapter path handling and K-Diffusion ControlNet/IP-Adapter support are not the same code-path fix." + }, + { + "left": "pull_request:7118", + "right": "pull_request:9207", + "accept": false, + "reason": "Typos in docs and CPU offloading usage updates are unrelated documentation fixes." + }, + { + "left": "pull_request:7131", + "right": "pull_request:9207", + "accept": false, + "reason": "These are different docs-only fixes with different target pages and concerns." + }, + { + "left": "pull_request:7932", + "right": "pull_request:9696", + "accept": false, + "reason": "LoRA test expectation cleanup and PR workflow changes are unrelated." + }, + { + "left": "pull_request:6898", + "right": "pull_request:6907", + "accept": false, + "reason": "Both standardize model cards, but across different example scripts and with different scope." + }, + { + "left": "pull_request:1229", + "right": "pull_request:1513", + "accept": false, + "reason": "DreamBooth README updates for different setup topics; not the same change." + }, + { + "left": "pull_request:2595", + "right": "pull_request:3128", + "accept": false, + "reason": "Scheduler config switching and img2img timestep selection fix different bugs." + }, + { + "left": "pull_request:4862", + "right": "pull_request:4886", + "accept": false, + "reason": "ControlNet img2img height/width fix vs upscale pipeline safety checker fix; distinct code paths." + }, + { + "left": "pull_request:6448", + "right": "pull_request:7738", + "accept": false, + "reason": "Different LoRA test/device issues; same broad area but not the same bug." + }, + { + "left": "pull_request:10717", + "right": "pull_request:10867", + "accept": false, + "reason": "One adds IP-Adapter to FluxImg2Img; the other extends Flux pipelines to multi-IP-Adapter support. Related, but not duplicates." + }, + { + "left": "pull_request:10132", + "right": "pull_request:10497", + "accept": false, + "reason": "Both touch tokenizers CI setup, but the later PR is a correction to the install target, not the same concrete change." + }, + { + "left": "pull_request:4847", + "right": "pull_request:6419", + "accept": false, + "reason": "A community example and a WIP in-context-learning example are different artifacts and features." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 51, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10115", + "pull_request:10192", + "pull_request:1020", + "pull_request:10222", + "pull_request:10230", + "pull_request:10232", + "pull_request:10253", + "pull_request:10259", + "pull_request:10278", + "pull_request:10318", + "pull_request:10340", + "pull_request:10358", + "pull_request:10376", + "pull_request:10394", + "pull_request:1041", + "pull_request:10431", + "pull_request:10434", + "pull_request:10498", + "pull_request:10531", + "pull_request:10548", + "pull_request:1077", + "pull_request:10802", + "pull_request:10819", + "pull_request:10888", + "pull_request:10938", + "pull_request:11204", + "pull_request:11319", + "pull_request:11546", + "pull_request:11623", + "pull_request:11634", + "pull_request:11770", + "pull_request:11789", + "pull_request:11847", + "pull_request:11851", + "pull_request:1194", + "pull_request:11983", + "pull_request:1412", + "pull_request:2788", + "pull_request:531", + "pull_request:5979", + "pull_request:6303", + "pull_request:8481", + "pull_request:8600", + "pull_request:9116", + "pull_request:9196", + "pull_request:9734", + "pull_request:9760", + "pull_request:9860" + ], + "soft_pairs": [ + "pull_request:5979|pull_request:6303", + "pull_request:10192|pull_request:10259", + "pull_request:10340|pull_request:10431", + "pull_request:10115|pull_request:8481", + "pull_request:1020|pull_request:1194", + "pull_request:1020|pull_request:2788", + "pull_request:10222|pull_request:8600", + "pull_request:10230|pull_request:10318", + "pull_request:10232|pull_request:9734", + "pull_request:10253|pull_request:9196", + "pull_request:10278|pull_request:11634", + "pull_request:10358|pull_request:11319", + "pull_request:10376|pull_request:11546", + "pull_request:10394|pull_request:9116", + "pull_request:1041|pull_request:531", + "pull_request:10434|pull_request:11847", + "pull_request:10498|pull_request:11204", + "pull_request:10531|pull_request:11851", + "pull_request:10548|pull_request:11789", + "pull_request:1077|pull_request:1412", + "pull_request:10802|pull_request:11623", + "pull_request:10819|pull_request:11770", + "pull_request:10819|pull_request:11851", + "pull_request:10888|pull_request:9860", + "pull_request:10938|pull_request:11983", + "pull_request:10938|pull_request:9760" + ], + "prepared_review_unit_hash": "0a368fe46ddbdc05e28fe4d316a9b80d2d18d513da96518be65bde0e5af56363", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 96911, + "estimated_input_tokens": 24228, + "estimated_eval_tokens": 48712 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated docs, test, and feature PRs across Flux, Sana, HunyuanVideo, ControlNet, torchao, and more. 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one is an example README/code package, the other is an IF textual inversion WIP." + }, + { + "left": "pull_request:2767", + "right": "pull_request:3359", + "accept": false, + "reason": "Same file family, but one updates PEFT handling and the other disables safety checker; different changes." + }, + { + "left": "pull_request:2792", + "right": "pull_request:3449", + "accept": false, + "reason": "Related to MPS/tests broadly, but they fix different test suites and include different refactors." + }, + { + "left": "pull_request:2808", + "right": "pull_request:3755", + "accept": false, + "reason": "Both relax tests, but for different models and failure modes; not the same bug." + }, + { + "left": "pull_request:2839", + "right": "pull_request:4472", + "accept": false, + "reason": "Different README files and different content updates; no same underlying change." + }, + { + "left": "pull_request:2873", + "right": "pull_request:3744", + "accept": false, + "reason": "Docs phrasing cleanup vs workflow secret rename; 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not one mergeable bug fix." + }, + { + "left": "pull_request:3132", + "right": "pull_request:975", + "accept": false, + "reason": "Unrelated typo cleanup in docs title vs pipeline type annotation correction." + }, + { + "left": "pull_request:3183", + "right": "pull_request:957", + "accept": false, + "reason": "DreamBooth LoRA checkpoint bug and text-to-image scheduler initialization bug are different code paths." + }, + { + "left": "pull_request:3345", + "right": "pull_request:5568", + "accept": false, + "reason": "README example cleanup vs a real custom-pipeline loading bug fix; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 56, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:3446", + "pull_request:3458", + "pull_request:3460", + "pull_request:3577", + "pull_request:3641", + "pull_request:3709", + "pull_request:3710", + "pull_request:3786", + "pull_request:3819", + "pull_request:3821", + "pull_request:3894", + "pull_request:3923", + "pull_request:3971", + "pull_request:3985", + "pull_request:4012", + "pull_request:408", + "pull_request:4172", + "pull_request:4275", + "pull_request:4320", + "pull_request:4350", + "pull_request:4352", + "pull_request:4472", + "pull_request:4596", + "pull_request:4626", + "pull_request:4721", + "pull_request:4746", + "pull_request:4822", + "pull_request:4853", + "pull_request:4869", + "pull_request:4887", + "pull_request:4965", + "pull_request:5", + "pull_request:5250", + "pull_request:5286", + "pull_request:5454", + "pull_request:5505", + "pull_request:555", + "pull_request:5640", + "pull_request:5707", + "pull_request:5983", + "pull_request:6311", + "pull_request:6339", + "pull_request:6342", + "pull_request:6592", + "pull_request:6787", + "pull_request:710", + "pull_request:889" + ], + "soft_pairs": [ + "pull_request:3446|pull_request:4352", + "pull_request:3458|pull_request:5250", + "pull_request:3460|pull_request:5250", + "pull_request:3577|pull_request:4626", + "pull_request:3641|pull_request:4352", + "pull_request:3709|pull_request:4853", + "pull_request:3710|pull_request:3821", + "pull_request:3710|pull_request:5286", + "pull_request:3786|pull_request:3894", + "pull_request:3786|pull_request:4172", + "pull_request:3819|pull_request:5454", + "pull_request:3923|pull_request:5983", + "pull_request:3971|pull_request:4721", + "pull_request:3971|pull_request:6339", + "pull_request:3985|pull_request:5640", + "pull_request:4012|pull_request:5640", + "pull_request:408|pull_request:710", + "pull_request:4275|pull_request:4965", + "pull_request:4320|pull_request:5505", + "pull_request:4350|pull_request:6339", + "pull_request:4472|pull_request:6342", + "pull_request:4596|pull_request:6311", + "pull_request:4746|pull_request:6592", + "pull_request:4822|pull_request:5505", + "pull_request:4869|pull_request:5707", + "pull_request:4887|pull_request:6787", + "pull_request:5|pull_request:555", + "pull_request:5|pull_request:889" + ], + "prepared_review_unit_hash": "d7753e9e0736de1491441cb86e20a75c3b53e03e98c050f2d6b31224ed204277", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 95234, + "estimated_input_tokens": 23809, + "estimated_eval_tokens": 47874 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated docs typo fixes, pipeline behavior fixes, feature additions, and standalone tutorials. I do not see any soft-edge pair that looks like the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a safe canonical for the cluster; the items span unrelated changes across docs, pipelines, tests, and scripts.", + "best_issue_reason": null, + "best_pr_reason": "PR 3971 is the broadest repo-wide maintenance change in the set, but it is still only a weak representative because the cluster is not a true duplicate group.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3446", + "right": "pull_request:4352", + "accept": false, + "reason": "Different code paths and goals: pipeline warning text vs Kandinsky combined pipeline methods/tests." + }, + { + "left": "pull_request:3458", + "right": "pull_request:5250", + "accept": false, + "reason": "Inpaint LoRA support vs DDPO docs entry are unrelated changes." + }, + { + "left": "pull_request:3460", + "right": "pull_request:5250", + "accept": false, + "reason": "Inpaint LoRA support and DDPO docs entry are unrelated." + }, + { + "left": "pull_request:3577", + "right": "pull_request:4626", + "accept": false, + "reason": "Both touch docs links, but they fix different pages and different broken links." + }, + { + "left": "pull_request:3641", + "right": "pull_request:4352", + "accept": false, + "reason": "Initial-latents inpainting bug fix vs Kandinsky combined pipeline feature work." + }, + { + "left": "pull_request:3709", + "right": "pull_request:4853", + "accept": false, + "reason": "Adding image processor docs is unrelated to fixing image processor width handling." + }, + { + "left": "pull_request:3710", + "right": "pull_request:3821", + "accept": false, + "reason": "English image-processor docs vs Korean translated pipeline docs are different documentation changes." + }, + { + "left": "pull_request:3710", + "right": "pull_request:5286", + "accept": false, + "reason": "English docs addition vs Japanese index translation are not the same change." + }, + { + "left": "pull_request:3786", + "right": "pull_request:3894", + "accept": false, + "reason": "PR template addition is unrelated to Flax UNet dropout implementation." + }, + { + "left": "pull_request:3786", + "right": "pull_request:4172", + "accept": false, + "reason": "PR template addition is unrelated to Flax model type-casting changes." + }, + { + "left": "pull_request:3819", + "right": "pull_request:5454", + "accept": false, + "reason": "README FAQ content and schedulers docs wording are unrelated docs changes." + }, + { + "left": "pull_request:3923", + "right": "pull_request:5983", + "accept": false, + "reason": "Different docs pages and unrelated fixes: missing torch import vs SVD documentation formatting." + }, + { + "left": "pull_request:3971", + "right": "pull_request:4721", + "accept": false, + "reason": "SDXL docs cleanup and Korean DreamBooth docs are unrelated documentation updates." + }, + { + "left": "pull_request:3971", + "right": "pull_request:6339", + "accept": false, + "reason": "SDXL docs/workflow fix is unrelated to AnimateDiff doc edits." + }, + { + "left": "pull_request:3985", + "right": "pull_request:5640", + "accept": false, + "reason": "SDXL doc refinements and AnimateDiff doc nits are separate pages and separate edits." + }, + { + "left": "pull_request:4012", + "right": "pull_request:5640", + "accept": false, + "reason": "Dance Diffusion doc wording and AnimateDiff docs are different pipeline docs." + }, + { + "left": "pull_request:408", + "right": "pull_request:710", + "accept": false, + "reason": "Generic typo cleanup across several docs is not the same concrete fix as the specific UNet docstring correction." + }, + { + "left": "pull_request:4275", + "right": "pull_request:4965", + "accept": false, + "reason": "Autopipeline docs and Wuerstchen docs formatting are unrelated." + }, + { + "left": "pull_request:4320", + "right": "pull_request:5505", + "accept": false, + "reason": "Typos in ONNX docs do not match ControlNet docs/API naming fixes." + }, + { + "left": "pull_request:4350", + "right": "pull_request:6339", + "accept": false, + "reason": "T2I Adapter dtype doc fix is unrelated to AnimateDiff docs." + }, + { + "left": "pull_request:4472", + "right": "pull_request:6342", + "accept": false, + "reason": "SDXL README edits and installation.md updates are unrelated documentation changes." + }, + { + "left": "pull_request:4596", + "right": "pull_request:6311", + "accept": false, + "reason": "SDXL conversion script addition and diffusion-fast tutorial are unrelated." + }, + { + "left": "pull_request:4746", + "right": "pull_request:6592", + "accept": false, + "reason": "Both mention inpainting, but they are different training-script efforts with different scopes and files." + }, + { + "left": "pull_request:4822", + "right": "pull_request:5505", + "accept": false, + "reason": "LoRA warning typo fix and ControlNet docs/API typo fix are unrelated." + }, + { + "left": "pull_request:4869", + "right": "pull_request:5707", + "accept": false, + "reason": "Combined pipeline tests and LCM tests target different code paths and features." + }, + { + "left": "pull_request:4887", + "right": "pull_request:6787", + "accept": false, + "reason": "Kandinsky prior_emb2emb API cleanup and Marigold image normalization bug fix are unrelated." + }, + { + "left": "pull_request:5", + "right": "pull_request:555", + "accept": false, + "reason": "Early UNet model addition and Flax VAE addition are different core components." + }, + { + "left": "pull_request:5", + "right": "pull_request:889", + "accept": false, + "reason": "UNet model introduction and Stable Diffusion components accessor are not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 57, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:5051", + "pull_request:5184", + "pull_request:5267", + "pull_request:5332", + "pull_request:5454", + "pull_request:5533", + "pull_request:555", + "pull_request:5640", + "pull_request:5686", + "pull_request:5707", + "pull_request:5723", + "pull_request:574", + "pull_request:5855", + "pull_request:5901", + "pull_request:5982", + "pull_request:6002", + "pull_request:6174", + "pull_request:6207", + "pull_request:6215", + "pull_request:6217", + "pull_request:6314", + "pull_request:6322", + "pull_request:6360", + "pull_request:6401", + "pull_request:6419", + "pull_request:6433", + "pull_request:6453", + "pull_request:6466", + "pull_request:6475", + "pull_request:6511", + "pull_request:6633", + "pull_request:6752", + "pull_request:6760", + "pull_request:6775", + "pull_request:6787", + "pull_request:6847", + "pull_request:6904", + "pull_request:6941", + "pull_request:6961", + "pull_request:7150", + "pull_request:7181", + "pull_request:7353", + "pull_request:7747", + "pull_request:7797", + "pull_request:7932", + "pull_request:7963", + "pull_request:8427", + "pull_request:8851" + ], + "soft_pairs": [ + "pull_request:5051|pull_request:7181", + "pull_request:5184|pull_request:5707", + "pull_request:5267|pull_request:7150", + "pull_request:5332|pull_request:6322", + "pull_request:5454|pull_request:7150", + "pull_request:5533|pull_request:5686", + "pull_request:555|pull_request:574", + "pull_request:5640|pull_request:6466", + "pull_request:5707|pull_request:5723", + "pull_request:5855|pull_request:7150", + "pull_request:5901|pull_request:6847", + "pull_request:5901|pull_request:6941", + "pull_request:5982|pull_request:6174", + "pull_request:6002|pull_request:6475", + "pull_request:6207|pull_request:6401", + "pull_request:6215|pull_request:6217", + "pull_request:6314|pull_request:6453", + "pull_request:6360|pull_request:7963", + "pull_request:6419|pull_request:6752", + "pull_request:6433|pull_request:8427", + "pull_request:6475|pull_request:7747", + "pull_request:6511|pull_request:7932", + "pull_request:6633|pull_request:7353", + "pull_request:6760|pull_request:6847", + "pull_request:6775|pull_request:8851", + "pull_request:6787|pull_request:6904", + "pull_request:6961|pull_request:7797" + ], + "prepared_review_unit_hash": "9511215e459458c462c27bae8b101865a0dae534beecf5902f7a98240cb557e8", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 95789, + "estimated_input_tokens": 23948, + "estimated_eval_tokens": 48152 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly unrelated docs/test/feature PRs, and the soft pairs are only superficially similar (same subsystem or filename, but different concrete changes). No pair looks like the same underlying bug or change. Best standalone PR is the IP-Adapter attention masking feature because it has the clearest concrete code change plus docs/tests and strong review activity.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true duplicate PR cluster here; if one PR must represent the set, PR 6847 is the most substantial and clearly scoped feature change with docs/tests and high review activity.", + "best_issue_reason": null, + "best_pr_reason": "PR 6847 is the strongest standalone artifact: concrete feature implementation, explicit issue target, broad but coherent code/docs/test coverage, and much higher discussion/review signal than the other candidates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5051", + "right": "pull_request:7181", + "accept": false, + "reason": "Both are typo/doc cleanup, but they fix different files and different wording issues; not the same change." + }, + { + "left": "pull_request:5184", + "right": "pull_request:5707", + "accept": false, + "reason": "Both add tests, but for different scheduler areas and different behavior; not one shared bug or fix." + }, + { + "left": "pull_request:5267", + "right": "pull_request:7150", + "accept": false, + "reason": "README formatting docs vs callback example docs; unrelated edits." + }, + { + "left": "pull_request:5332", + "right": "pull_request:6322", + "accept": false, + "reason": "Dreambooth LoRA description typo is unrelated to attention-training changes in the training script PR." + }, + { + "left": "pull_request:5454", + "right": "pull_request:7150", + "accept": false, + "reason": "Different documentation pages and different fixes; no shared underlying issue." + }, + { + "left": "pull_request:5533", + "right": "pull_request:5686", + "accept": false, + "reason": "Both speed up tests, but for different pipelines and different test harness changes." + }, + { + "left": "pull_request:555", + "right": "pull_request:574", + "accept": false, + "reason": "Same file, but 555 adds Flax VAE support while 574 is a follow-up bug fix in VAE decoding; not the same change." + }, + { + "left": "pull_request:5640", + "right": "pull_request:6466", + "accept": false, + "reason": "Minor doc nits for different pipelines; unrelated." + }, + { + "left": "pull_request:5707", + "right": "pull_request:5723", + "accept": false, + "reason": "LCM tests vs LCM docs; same topic but different artifacts and no shared bug/change." + }, + { + "left": "pull_request:5855", + "right": "pull_request:7150", + "accept": false, + "reason": "Different README/doc cleanup in separate locations; unrelated." + }, + { + "left": "pull_request:5901", + "right": "pull_request:6847", + "accept": false, + "reason": "Both involve IP-Adapter, but one adds ControlNet Img2Img support and the other adds attention masking; different features." + }, + { + "left": "pull_request:5901", + "right": "pull_request:6941", + "accept": false, + "reason": "Both are IP-Adapter ControlNet-related, but they target different pipelines and capabilities." + }, + { + "left": "pull_request:5982", + "right": "pull_request:6174", + "accept": false, + "reason": "SDXL Turbo docs vs LoRA markdown typo; unrelated." + }, + { + "left": "pull_request:6002", + "right": "pull_request:6475", + "accept": false, + "reason": "Stable Video Diffusion guidance-scale fix vs VAE type doc fix; different code paths." + }, + { + "left": "pull_request:6207", + "right": "pull_request:6401", + "accept": false, + "reason": "Training-script cleanup vs LoRA test cleanup; different scopes and no shared bug." + }, + { + "left": "pull_request:6215", + "right": "pull_request:6217", + "accept": false, + "reason": "PixArt test initialization change vs Stable Video Diffusion torch.compile fix; unrelated." + }, + { + "left": "pull_request:6314", + "right": "pull_request:6453", + "accept": false, + "reason": "Paper-link doc fixes for different models; not a duplicate change." + }, + { + "left": "pull_request:6360", + "right": "pull_request:7963", + "accept": false, + "reason": "Both touch inpaint/controlnet code, but one adds padding_mask_crop across pipelines and the other adds custom timesteps/sigmas; different concrete changes." + }, + { + "left": "pull_request:6419", + "right": "pull_request:6752", + "accept": false, + "reason": "WIP community pipeline vs finished PromptDiffusion pipeline; not the same artifact." + }, + { + "left": "pull_request:6433", + "right": "pull_request:8427", + "accept": false, + "reason": "Community pipeline addition vs workflow debugging change; unrelated." + }, + { + "left": "pull_request:6475", + "right": "pull_request:7747", + "accept": false, + "reason": "SVD VAE type doc fix vs VAE tiling test fix; different issues." + }, + { + "left": "pull_request:6511", + "right": "pull_request:7932", + "accept": false, + "reason": "Torch.compile checkpointing fix vs LoRA test expectation update; unrelated." + }, + { + "left": "pull_request:6633", + "right": "pull_request:7353", + "accept": false, + "reason": "Checkpoint YAML loading fix vs ControlNet SDXL Img2Img pipeline interface update; different code paths." + }, + { + "left": "pull_request:6760", + "right": "pull_request:6847", + "accept": false, + "reason": "Both are IP-Adapter test-related, but one adjusts slow tests and the other implements attention masking; not the same change." + }, + { + "left": "pull_request:6775", + "right": "pull_request:8851", + "accept": false, + "reason": "Missing parameter docs in DDPM scheduler vs AuraFlow docs; unrelated." + }, + { + "left": "pull_request:6787", + "right": "pull_request:6904", + "accept": false, + "reason": "Marigold input normalization bug fix vs generic PIL image loading support; different behavior." + }, + { + "left": "pull_request:6961", + "right": "pull_request:7797", + "accept": false, + "reason": "Single-file checkpoint loader tests vs reduced DDPM fast-test model size; different test changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 58, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11081", + "pull_request:11682", + "pull_request:11835", + "pull_request:12004", + "pull_request:12069", + "pull_request:12551", + "pull_request:12562", + "pull_request:12970", + "pull_request:12988", + "pull_request:13039", + "pull_request:6868", + "pull_request:6946", + "pull_request:6961", + "pull_request:710", + "pull_request:7150", + "pull_request:737", + "pull_request:7410", + "pull_request:7550", + "pull_request:7638", + "pull_request:7803", + "pull_request:7804", + "pull_request:7833", + "pull_request:7919", + "pull_request:7977", + "pull_request:798", + "pull_request:806", + "pull_request:822", + "pull_request:8303", + "pull_request:839", + "pull_request:8478", + "pull_request:8498", + "pull_request:8591", + "pull_request:8631", + "pull_request:8642", + "pull_request:8755", + "pull_request:8775", + "pull_request:8992", + "pull_request:91", + "pull_request:9266", + "pull_request:9408", + "pull_request:9473", + "pull_request:9553", + "pull_request:9591", + "pull_request:9592", + "pull_request:9699", + "pull_request:971", + "pull_request:9832" + ], + "soft_pairs": [ + "pull_request:6961|pull_request:7803", + "pull_request:6961|pull_request:7804", + "pull_request:6961|pull_request:7833", + "pull_request:710|pull_request:798", + "pull_request:7150|pull_request:9266", + "pull_request:737|pull_request:839", + "pull_request:7410|pull_request:7919", + "pull_request:7638|pull_request:8303", + "pull_request:7977|pull_request:8642", + "pull_request:806|pull_request:971", + "pull_request:822|pull_request:91", + "pull_request:8478|pull_request:9408", + "pull_request:8498|pull_request:8642", + "pull_request:8591|pull_request:8755", + "pull_request:8631|pull_request:9473", + "pull_request:8775|pull_request:9266", + "pull_request:9266|pull_request:9553", + "pull_request:9591|pull_request:9592", + "pull_request:9699|pull_request:9832", + "pull_request:12004|pull_request:12562", + "pull_request:11081|pull_request:11682", + "pull_request:7550|pull_request:8992", + "pull_request:6868|pull_request:6946", + "pull_request:12551|pull_request:13039", + "pull_request:12970|pull_request:12988", + "pull_request:11835|pull_request:12069" + ], + "prepared_review_unit_hash": "5b942af5a34cb1fa0d2a9249f00546885824871df17589267925b65125f69f1f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 97002, + "estimated_input_tokens": 24251, + "estimated_eval_tokens": 48758 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These PRs are mostly unrelated maintenance, docs, test, and feature changes. 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Different artifacts and problems." + }, + { + "left": "pull_request:1215", + "right": "pull_request:2062", + "accept": false, + "reason": "DDIM generator handling and Paint by Example CPU offload are unrelated." + }, + { + "left": "pull_request:12714", + "right": "pull_request:13313", + "accept": false, + "reason": "One is a Flux2 LoRA NaN test fix; the other is LoRA loading/conversion for klein/kohya models. Not the same bug." + }, + { + "left": "pull_request:2892", + "right": "pull_request:4099", + "accept": false, + "reason": "One broadens upscaler input checks to allow embeds; the other fixes SDXL prompt-embed handling. Similar theme, but distinct bugs." + }, + { + "left": "pull_request:2915", + "right": "pull_request:4666", + "accept": false, + "reason": "A test-threshold tweak for textual inversion is not the same as enabling LoRA for SDXL ControlNet." + }, + { + "left": "pull_request:3968", + "right": "pull_request:4083", + "accept": false, + "reason": "Both affect SDXL, but one is a broader SDXL improvement/docs change and the other is a low-precision VAE fix. Not mergeable as one change." + }, + { + "left": "pull_request:4498", + "right": "pull_request:5750", + "accept": false, + "reason": "One adds a reference SDXL community pipeline; the other is a docs-only intro page. Different content and scope." + }, + { + "left": "pull_request:4666", + "right": "pull_request:5615", + "accept": false, + "reason": "One enables LoRA for SDXL ControlNet; the other reverts load_lora behavior in an adapter pipeline. Different fixes." + }, + { + "left": "pull_request:5015", + "right": "pull_request:6330", + "accept": false, + "reason": "A broken docs link fix and an SVD docs rendering fix are unrelated documentation changes." + }, + { + "left": "pull_request:5217", + "right": "pull_request:5852", + "accept": false, + "reason": "One fixes a PEFT import typo; the other fixes PR test workflow behavior. Different bugs." + }, + { + "left": "pull_request:7118", + "right": "pull_request:8571", + "accept": false, + "reason": "Both are docs/cleanup, but one is just IP-Adapter typo cleanup and the other is a broad style/errata pass. Not the same change." + }, + { + "left": "pull_request:7458", + "right": "pull_request:7893", + "accept": false, + "reason": "One skips dynamo tests on Python 3.12; the other upgrades Dockerfiles to Python 3.10. Different concerns." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9770", + "accept": false, + "reason": "One adds Flux Union ControlNet support; the other extends Flux ControlNet inpainting for Xlabs. Same subsystem, different concrete feature." + }, + { + "left": "pull_request:9506", + "right": "pull_request:9676", + "accept": false, + "reason": "One is a docs import/path fix; the other is a benchmark script import fix. Too different to treat as duplicates." + }, + { + "left": "pull_request:11353", + "right": "pull_request:11588", + "accept": false, + "reason": "Wan FLF2V support and Wan LoRA I2V support are distinct feature additions, not the same bug or change." + }, + { + "left": "pull_request:6573", + "right": "pull_request:7016", + "accept": false, + "reason": "Both are IP-Adapter related, but #6573 adds multi-IP-Adapter support while #7016 refactors embed preparation and image-encoder loading; related but not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 60, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10206", + "pull_request:10359", + "pull_request:10365", + "pull_request:10648", + "pull_request:10885", + "pull_request:10911", + "pull_request:11124", + "pull_request:11248", + "pull_request:11582", + "pull_request:11595", + "pull_request:11726", + "pull_request:11891", + "pull_request:12584", + "pull_request:13029", + "pull_request:13120", + "pull_request:13229", + "pull_request:1496", + "pull_request:2001", + "pull_request:2223", + "pull_request:2734", + "pull_request:2959", + "pull_request:3446", + "pull_request:3641", + "pull_request:3675", + "pull_request:3716", + "pull_request:4370", + "pull_request:4373", + "pull_request:4695", + "pull_request:4714", + "pull_request:483", + "pull_request:4862", + "pull_request:5275", + "pull_request:530", + "pull_request:5506", + "pull_request:5788", + "pull_request:6265", + "pull_request:6757", + "pull_request:6795", + "pull_request:6864", + "pull_request:689", + "pull_request:7113", + "pull_request:7246", + "pull_request:8510", + "pull_request:888", + "pull_request:9206", + "pull_request:9386", + "pull_request:9473", + "pull_request:978" + ], + "soft_pairs": [ + "pull_request:10359|pull_request:9206", + "pull_request:11582|pull_request:11726", + "pull_request:1496|pull_request:2734", + "pull_request:2001|pull_request:483", + "pull_request:2001|pull_request:978", + "pull_request:3716|pull_request:4695", + "pull_request:4370|pull_request:4862", + "pull_request:5275|pull_request:6795", + "pull_request:13029|pull_request:13120", + "pull_request:2223|pull_request:888", + "pull_request:2959|pull_request:3675", + "pull_request:3446|pull_request:4373", + "pull_request:3641|pull_request:4373", + "pull_request:4714|pull_request:5788", + "pull_request:530|pull_request:689", + "pull_request:5506|pull_request:7246", + "pull_request:6265|pull_request:6757", + "pull_request:6864|pull_request:7113", + "pull_request:8510|pull_request:9473", + "pull_request:10911|pull_request:11124", + "pull_request:12584|pull_request:13229", + "pull_request:10206|pull_request:11595", + "pull_request:10365|pull_request:9386", + "pull_request:10648|pull_request:10885", + "pull_request:11248|pull_request:11891" + ], + "prepared_review_unit_hash": "c930b2025f087d1ca51d5e30b4ad07f65136869cf58b642dc60ee9a1045cf372", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 98928, + "estimated_input_tokens": 24732, + "estimated_eval_tokens": 49720 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated PRs across LoRA loading, tests, docs, schedulers, pipelines, and training scripts. The soft-similarity pairs are mostly superficial (same subsystem or similar wording) rather than the same concrete bug/change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR fits this cluster: the items do not converge on one underlying fix or feature, so any single PR would be arbitrary.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good global duplicate target; the cluster is too heterogeneous and the soft matches do not indicate mergeable duplicates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10359", + "right": "pull_request:9206", + "accept": false, + "reason": "Both are test-fix PRs, but they target different test files and different failure modes, not the same bug." + }, + { + "left": "pull_request:11582", + "right": "pull_request:11726", + "accept": false, + "reason": "Both relate to Wan/VACE, but one adds the pipeline and the other expands LoRA conversion support; different code paths and changes." + }, + { + "left": "pull_request:1496", + "right": "pull_request:2734", + "accept": false, + "reason": "Both touch Habana docs, but one adds the doc and the other updates version/benchmark numbers; not the same change." + }, + { + "left": "pull_request:2001", + "right": "pull_request:483", + "accept": false, + "reason": "Both are typo/cleanup style changes, but they affect unrelated files and issues, so they are not the same PR-level fix." + }, + { + "left": "pull_request:2001", + "right": "pull_request:978", + "accept": false, + "reason": "Same broad typo-fix theme, but different examples and edits; no shared concrete change." + }, + { + "left": "pull_request:3716", + "right": "pull_request:4695", + "accept": false, + "reason": "Both are pipeline additions, but for different features and architectures; not mergeable as one PR." + }, + { + "left": "pull_request:4370", + "right": "pull_request:4862", + "accept": false, + "reason": "Both concern Stable Diffusion/SDXL naming or controlnet behavior, but they fix unrelated code paths." + }, + { + "left": "pull_request:5275", + "right": "pull_request:6795", + "accept": false, + "reason": "Both are SDXL examples, but one adds an example and the other changes micro-conditioning in training; distinct changes." + }, + { + "left": "pull_request:13029", + "right": "pull_request:13120", + "accept": false, + "reason": "Both are modular docs/tests related, but one rewrites quickstart docs and the other adds AutoModel load-id tests; unrelated work." + }, + { + "left": "pull_request:2223", + "right": "pull_request:888", + "accept": false, + "reason": "Both add pipelines and touch import lists, but they implement different pipelines with different behaviors." + }, + { + "left": "pull_request:2959", + "right": "pull_request:3675", + "accept": false, + "reason": "Both are test-only PRs, but they address different models and test adjustments; no same underlying bug." + }, + { + "left": "pull_request:3446", + "right": "pull_request:4373", + "accept": false, + "reason": "One fixes a warning message, the other changes SDXL resize/default size logic; unrelated code paths." + }, + { + "left": "pull_request:3641", + "right": "pull_request:4373", + "accept": false, + "reason": "Inpainting latent handling vs. SDXL resize semantics are different bugs in different pipelines." + }, + { + "left": "pull_request:4714", + "right": "pull_request:5788", + "accept": false, + "reason": "Both are small robustness fixes, but one is import/dummy-object handling and the other is LCM timestep validation; unrelated." + }, + { + "left": "pull_request:530", + "right": "pull_request:689", + "accept": false, + "reason": "Both touch tests/performance, but one edits img2img test assertions and the other changes attention implementation performance; not the same fix." + }, + { + "left": "pull_request:5506", + "right": "pull_request:7246", + "accept": false, + "reason": "Both mention device/backend behavior in tests, but they target different code and different failure modes." + }, + { + "left": "pull_request:6265", + "right": "pull_request:6757", + "accept": false, + "reason": "Both move or adjust sigma/exports in SD/SDXL k-diffusion-related code, but they are separate refactors with different concrete edits." + }, + { + "left": "pull_request:6864", + "right": "pull_request:7113", + "accept": false, + "reason": "Both mention torch.compile/CI behavior, but one is docs for PEFT and the other is Docker CI Slack notification; unrelated." + }, + { + "left": "pull_request:8510", + "right": "pull_request:9473", + "accept": false, + "reason": "Both adjust dreambooth training scripts, but one fixes LR scheduler math and the other fixes Flux prodigy LR handling; different problems." + }, + { + "left": "pull_request:10911", + "right": "pull_request:11124", + "accept": false, + "reason": "Both are CogView4/Lumina2 test-related, but they target different models and different test setups." + }, + { + "left": "pull_request:12584", + "right": "pull_request:13229", + "accept": false, + "reason": "Both involve Sana video conversion/pipeline files, but one adds the initial SANA-Video support and the other adds LTX2 VAE integration; not the same change." + }, + { + "left": "pull_request:10206", + "right": "pull_request:11595", + "accept": false, + "reason": "Both modify lora_pipeline.py, but they address different LoRA load/unload behaviors and should not be merged as one bug fix." + }, + { + "left": "pull_request:10365", + "right": "pull_request:9386", + "accept": false, + "reason": "Both are feature PRs tied to specific pipelines, but one adds torch_xla support and the other adds PAG inpaint support; unrelated." + }, + { + "left": "pull_request:10648", + "right": "pull_request:10885", + "accept": false, + "reason": "Docs-only scheduler work for different topics: DDPM sigmoid docs vs. CogVideoX scheduler docs." + }, + { + "left": "pull_request:11248", + "right": "pull_request:11891", + "accept": false, + "reason": "Both are README/doc fixes, but one is Flux controlnet example syntax and the other is a Chroma doc typo; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 61, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11303", + "pull_request:11473", + "pull_request:11755", + "pull_request:11835", + "pull_request:11891", + "pull_request:12018", + "pull_request:12193", + "pull_request:12360", + "pull_request:12464", + "pull_request:2004", + "pull_request:2029", + "pull_request:2339", + "pull_request:2536", + "pull_request:2559", + "pull_request:2976", + "pull_request:3128", + "pull_request:3214", + "pull_request:3226", + "pull_request:3471", + "pull_request:3506", + "pull_request:3642", + "pull_request:4211", + "pull_request:4248", + "pull_request:4457", + "pull_request:4595", + "pull_request:4707", + "pull_request:4797", + "pull_request:4934", + "pull_request:5015", + "pull_request:5041", + "pull_request:5707", + "pull_request:5807", + "pull_request:5844", + "pull_request:6002", + "pull_request:6216", + "pull_request:6279", + "pull_request:6311", + "pull_request:6389", + "pull_request:652", + "pull_request:6680", + "pull_request:6848", + "pull_request:6962", + "pull_request:7627", + "pull_request:7747", + "pull_request:7910", + "pull_request:8272", + "pull_request:9100" + ], + "soft_pairs": [ + "pull_request:11303|pull_request:11891", + "pull_request:11473|pull_request:12018", + "pull_request:11755|pull_request:11835", + "pull_request:11891|pull_request:12193", + "pull_request:12360|pull_request:12464", + "pull_request:2004|pull_request:2029", + "pull_request:2339|pull_request:3471", + "pull_request:2536|pull_request:652", + "pull_request:2559|pull_request:3226", + "pull_request:2976|pull_request:5015", + "pull_request:3128|pull_request:3214", + "pull_request:3506|pull_request:4248", + "pull_request:3642|pull_request:4457", + "pull_request:4211|pull_request:4797", + "pull_request:4595|pull_request:6311", + "pull_request:4707|pull_request:4934", + "pull_request:5041|pull_request:5707", + "pull_request:5807|pull_request:7627", + "pull_request:5844|pull_request:7910", + "pull_request:6002|pull_request:6389", + "pull_request:6216|pull_request:7747", + "pull_request:6279|pull_request:6848", + "pull_request:6680|pull_request:6962", + "pull_request:8272|pull_request:9100" + ], + "prepared_review_unit_hash": "46732c22b8e160ea534312e73b92e5f2b96433dc89f8acfe5855e5a26399517f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 91219, + "estimated_input_tokens": 22805, + "estimated_eval_tokens": 45866 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab-bag of unrelated small docs, test, and bugfix PRs that only look similar at a very high level (short titles, typo fixes, and minor maintenance). I do not see any true duplicate pair among the soft edges.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "If a representative PR is needed, #5707 is the best anchor: it is a concrete code-path fix with explicit behavior changes and broad test coverage, unlike most others here which are isolated docs/typo/test cleanups.", + "best_issue_reason": null, + "best_pr_reason": "#5707 is the strongest overall representative because it fixes a real runtime behavior issue across multiple pipelines and includes tests, making it more substantive than the other PRs in the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11303", + "right": "pull_request:11891", + "accept": false, + "reason": "Different docs typos in different pipeline pages; same generic maintenance category, but not the same change or bug." + }, + { + "left": "pull_request:11473", + "right": "pull_request:12018", + "accept": false, + "reason": "Both are quantization docs edits, but they fix different wording/link issues in different sections and do not share one underlying problem." + }, + { + "left": "pull_request:11755", + "right": "pull_request:11835", + "accept": false, + "reason": "Unrelated test fixes: one is CPU offload for LTX upsample, the other is float16 CUDA test cleanup; different code paths and failure modes." + }, + { + "left": "pull_request:11891", + "right": "pull_request:12193", + "accept": false, + "reason": "One fixes a Chroma docs typo, the other updates a DreamBooth README filename; unrelated edits." + }, + { + "left": "pull_request:12360", + "right": "pull_request:12464", + "accept": false, + "reason": "Both are docs PRs, but one fixes Chroma pipeline docs and the other updates Marigold docs/syntax; not the same underlying issue." + }, + { + "left": "pull_request:2004", + "right": "pull_request:2029", + "accept": false, + "reason": "DreamBooth README typo cleanup is unrelated to the code validation/scheduler fixes in the img2img/upscale pipelines." + }, + { + "left": "pull_request:2339", + "right": "pull_request:3471", + "accept": false, + "reason": "Both touch DreamBooth docs, but one is checkpointing/tests documentation and the other is just a torch.compile note; different content and purpose." + }, + { + "left": "pull_request:2536", + "right": "pull_request:652", + "accept": false, + "reason": "Gradient checkpointing for VAE is a real model capability change; the other is only a test tolerance tweak." + }, + { + "left": "pull_request:2559", + "right": "pull_request:3226", + "accept": false, + "reason": "Both concern ControlNet docs, but one fixes a link format and the other adds v1.1 content; separate changes." + }, + { + "left": "pull_request:2976", + "right": "pull_request:5015", + "accept": false, + "reason": "Both are navigation/link docs fixes, but they target different pages and broken links; not one duplicate fix." + }, + { + "left": "pull_request:3128", + "right": "pull_request:3214", + "accept": false, + "reason": "One fixes img2img timestep selection across several pipelines; the other fixes attention reshaping math. Different bugs, different code paths." + }, + { + "left": "pull_request:3506", + "right": "pull_request:4248", + "accept": false, + "reason": "Checkpoint resumption bug in ControlNet training is unrelated to tracker-config cleanup in DreamBooth scripts." + }, + { + "left": "pull_request:3642", + "right": "pull_request:4457", + "accept": false, + "reason": "Both involve the community TensorRT inpaint example, but one adds the pipeline and the other makes minor example fixes; not the same concrete bug or change." + }, + { + "left": "pull_request:4211", + "right": "pull_request:4797", + "accept": false, + "reason": "SDXL docstring/example fix is unrelated to LoRA block-mapping logic in loaders.py." + }, + { + "left": "pull_request:4595", + "right": "pull_request:6311", + "accept": false, + "reason": "A WIP code-conversion PR and a later docs/tutorial PR are unrelated." + }, + { + "left": "pull_request:4707", + "right": "pull_request:4934", + "accept": false, + "reason": "Custom diffusion README/training-script fixes and the T2I-Adapter training example are separate example additions, not one duplicate change." + }, + { + "left": "pull_request:5041", + "right": "pull_request:5707", + "accept": false, + "reason": "One adds SDXL refiner-only tests; the other fixes LCM behavior and adds tests across many pipelines. Different scopes and failure modes." + }, + { + "left": "pull_request:5807", + "right": "pull_request:7627", + "accept": false, + "reason": "LPW SDXL prompt-duplication logic and Playground img2img latent scaling are unrelated pipeline bugs." + }, + { + "left": "pull_request:5844", + "right": "pull_request:7910", + "accept": false, + "reason": "Different docs additions: one adds a Japanese SDXL reference example, the other adds missing image processor docs." + }, + { + "left": "pull_request:6002", + "right": "pull_request:6389", + "accept": false, + "reason": "Same Stable Video Diffusion file, but different bugs: guidance-scale logic versus noise_aug_strength typing." + }, + { + "left": "pull_request:6216", + "right": "pull_request:7747", + "accept": false, + "reason": "A PEFT-version-specific LoRA test fix is unrelated to a VAE tiling test fix." + }, + { + "left": "pull_request:6279", + "right": "pull_request:6848", + "accept": false, + "reason": "Both are LCM distillation scripts, but they fix different defects: distributed guidance embeddings vs target U-Net initialization." + }, + { + "left": "pull_request:6680", + "right": "pull_request:6962", + "accept": false, + "reason": "DPM slow-test adjustments and PixArt slow-test fixes are separate test-maintenance changes." + }, + { + "left": "pull_request:8272", + "right": "pull_request:9100", + "accept": false, + "reason": "A broad grammar cleanup across scheduler error messages is unrelated to a single typo fix in a text-to-image LoRA script." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 62, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10318", + "pull_request:10968", + "pull_request:11174", + "pull_request:1136", + "pull_request:11743", + "pull_request:11814", + "pull_request:11913", + "pull_request:12005", + "pull_request:1215", + "pull_request:12611", + "pull_request:12723", + "pull_request:13208", + "pull_request:1788", + "pull_request:2588", + "pull_request:2693", + "pull_request:2836", + "pull_request:3691", + "pull_request:3912", + "pull_request:4099", + "pull_request:4395", + "pull_request:4666", + "pull_request:4749", + "pull_request:4859", + "pull_request:5090", + "pull_request:5407", + "pull_request:5928", + "pull_request:6119", + "pull_request:6215", + "pull_request:6509", + "pull_request:6564", + "pull_request:6645", + "pull_request:6787", + "pull_request:6898", + "pull_request:6909", + "pull_request:7247", + "pull_request:7353", + "pull_request:7738", + "pull_request:7764", + "pull_request:7932", + "pull_request:8660", + "pull_request:8810", + "pull_request:8819", + "pull_request:8864", + "pull_request:9070", + "pull_request:9206", + "pull_request:9411", + "pull_request:9473", + "pull_request:9601" + ], + "soft_pairs": [ + "pull_request:8810|pull_request:9070", + "pull_request:8864|pull_request:9070", + "pull_request:9473|pull_request:9601", + "pull_request:6898|pull_request:6909", + "pull_request:12723|pull_request:13208", + "pull_request:10968|pull_request:11174", + "pull_request:11913|pull_request:12611", + "pull_request:5928|pull_request:6509", + "pull_request:7738|pull_request:9411", + "pull_request:10318|pull_request:11743", + "pull_request:1136|pull_request:2836", + "pull_request:11814|pull_request:12005", + "pull_request:1215|pull_request:1788", + "pull_request:2588|pull_request:3691", + "pull_request:2588|pull_request:3912", + "pull_request:2693|pull_request:4859", + "pull_request:4099|pull_request:4395", + "pull_request:4666|pull_request:4749", + "pull_request:5090|pull_request:6119", + "pull_request:5407|pull_request:6564", + "pull_request:6215|pull_request:7247", + "pull_request:6645|pull_request:6787", + "pull_request:7353|pull_request:8660", + "pull_request:7764|pull_request:8819", + "pull_request:7932|pull_request:9206" + ], + "prepared_review_unit_hash": "c9733e34c0ab650e17a6d59a774d732fc75b62ae22227ada8039f50e0c86e51f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 102117, + "estimated_input_tokens": 25530, + "estimated_eval_tokens": 51316 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a heterogeneous mix of unrelated PRs across LTX, Wan, Helios, Flux, AnimateDiff, LoRA, and assorted docs/tests. None of the soft-edge pairs look like the same underlying bug or change, so I would not collapse any of them as duplicates.", + "confidence": 0.34, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10968 is the best representative only in the weak sense that it is a broad merged feature PR with clear release scope, but the cluster is too mixed for any true canonical duplicate choice.", + "best_issue_reason": null, + "best_pr_reason": "PR 10968 is the strongest single representative of the cluster because it is a substantial merged feature/release PR and sits near one of the few related LTX edges, but it should not be treated as a duplicate anchor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8810", + "right": "pull_request:9070", + "accept": false, + "reason": "Different features in different model families: SD ControlNet PAG img2img vs a Flux img2img pipeline." + }, + { + "left": "pull_request:8864", + "right": "pull_request:9070", + "accept": false, + "reason": "Same broad img2img theme, but different code paths and model families; not the same change." + }, + { + "left": "pull_request:9473", + "right": "pull_request:9601", + "accept": false, + "reason": "Unrelated fixes: Flux DreamBooth LoRA LR handling vs SD3 ControlNet VAE dtype/upcasting." + }, + { + "left": "pull_request:6898", + "right": "pull_request:6909", + "accept": false, + "reason": "Both standardize model cards, but they touch different training scripts and distinct templates; not one duplicate change." + }, + { + "left": "pull_request:12723", + "right": "pull_request:13208", + "accept": false, + "reason": "Different model launches and code paths: LongSANA vs Helios pipelines." + }, + { + "left": "pull_request:10968", + "right": "pull_request:11174", + "accept": false, + "reason": "Related LTX area, but one is a 0.9.5 release integration and the other is a text-only refactor; not the same bug/change." + }, + { + "left": "pull_request:11913", + "right": "pull_request:12611", + "accept": false, + "reason": "Both are Wan-related modular work, but they are distinct generations/features and not mergeable as one concrete fix." + }, + { + "left": "pull_request:5928", + "right": "pull_request:6509", + "accept": false, + "reason": "Both involve AnimateDiff community docs/pipelines, but they implement different community pipelines." + }, + { + "left": "pull_request:7738", + "right": "pull_request:9411", + "accept": false, + "reason": "Both touch LoRA device movement, but one fixes a test/device-placement issue and the other fixes DoRA adapter movement; different bugs." + }, + { + "left": "pull_request:10318", + "right": "pull_request:11743", + "accept": false, + "reason": "Flux LoRA integration tests are unrelated to adding a shortened Flux training script." + }, + { + "left": "pull_request:1136", + "right": "pull_request:2836", + "accept": false, + "reason": "Both are docs link fixes, but for different pages and different broken links." + }, + { + "left": "pull_request:11814", + "right": "pull_request:12005", + "accept": false, + "reason": "Different core bugs: gradient-checkpointing kwargs passthrough vs sharded checkpoint local-files-only handling." + }, + { + "left": "pull_request:1215", + "right": "pull_request:1788", + "accept": false, + "reason": "Same file, but different DDIM scheduler bugs with different trigger conditions and fixes." + }, + { + "left": "pull_request:2588", + "right": "pull_request:3691", + "accept": false, + "reason": "Training example support for text-encoder LoRA is not the same as switching the loader to LoRAAttnProcessor2_0." + }, + { + "left": "pull_request:2588", + "right": "pull_request:3912", + "accept": false, + "reason": "Different scope: LoRA training example support vs a separate DreamBooth LoRA feature request." + }, + { + "left": "pull_request:2693", + "right": "pull_request:4859", + "accept": false, + "reason": "Unrelated doc link fix vs SDXL inpaint fast-test adjustment." + }, + { + "left": "pull_request:4099", + "right": "pull_request:4395", + "accept": false, + "reason": "Different SDXL issues: prompt-embed handling vs DreamBooth class-prompt pre-encoding." + }, + { + "left": "pull_request:4666", + "right": "pull_request:4749", + "accept": false, + "reason": "SDXL ControlNet LoRA support and SDXL DreamBooth LoRA checkpointing are separate code paths and fixes." + }, + { + "left": "pull_request:5090", + "right": "pull_request:6119", + "accept": false, + "reason": "Different problems in different areas: T2I Adapter accumulation vs fp16 gradient scaling in LoRA training." + }, + { + "left": "pull_request:5407", + "right": "pull_request:6564", + "accept": false, + "reason": "Mixed-precision training example fix is unrelated to IP-Adapter path construction." + }, + { + "left": "pull_request:6215", + "right": "pull_request:7247", + "accept": false, + "reason": "PixArt test initialization and single-file config checking are unrelated changes." + }, + { + "left": "pull_request:6645", + "right": "pull_request:6787", + "accept": false, + "reason": "A community README cleanup is not the same as fixing Marigold depth input normalization." + }, + { + "left": "pull_request:7353", + "right": "pull_request:8660", + "accept": false, + "reason": "Different pipeline updates for different models (SDXL ControlNet img2img vs SD3 ControlNet)." + }, + { + "left": "pull_request:7764", + "right": "pull_request:8819", + "accept": false, + "reason": "AnimateDiff conversion-script safetensor loading is different from adding single-file loading support." + }, + { + "left": "pull_request:7932", + "right": "pull_request:9206", + "accept": false, + "reason": "LoRA test expectation updates and xformers test fixes are unrelated test-only changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 63, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11522", + "pull_request:12387", + "pull_request:12395", + "pull_request:13209", + "pull_request:13255", + "pull_request:13280", + "pull_request:2037", + "pull_request:2385", + "pull_request:2397", + "pull_request:3245", + "pull_request:325", + "pull_request:3321", + "pull_request:333", + "pull_request:335", + "pull_request:3471", + "pull_request:3589", + "pull_request:365", + "pull_request:3859", + "pull_request:3866", + "pull_request:3952", + "pull_request:3968", + "pull_request:4022", + "pull_request:4058", + "pull_request:4078", + "pull_request:4196", + "pull_request:4223", + "pull_request:4240", + "pull_request:4262", + "pull_request:4272", + "pull_request:4301", + "pull_request:4343", + "pull_request:4397", + "pull_request:4408", + "pull_request:4717", + "pull_request:5057", + "pull_request:5298", + "pull_request:5386", + "pull_request:5671", + "pull_request:5833", + "pull_request:5834", + "pull_request:6078", + "pull_request:6081", + "pull_request:6144", + "pull_request:6236", + "pull_request:6633", + "pull_request:7068", + "pull_request:7451" + ], + "soft_pairs": [ + "pull_request:2385|pull_request:2397", + "pull_request:11522|pull_request:12395", + "pull_request:4408|pull_request:5057", + "pull_request:12387|pull_request:13280", + "pull_request:3859|pull_request:3968", + "pull_request:13209|pull_request:13255", + "pull_request:2037|pull_request:3589", + "pull_request:3245|pull_request:4022", + "pull_request:325|pull_request:365", + "pull_request:3321|pull_request:4301", + "pull_request:333|pull_request:335", + "pull_request:3471|pull_request:5298", + "pull_request:3866|pull_request:4343", + "pull_request:3952|pull_request:5671", + "pull_request:4058|pull_request:4196", + "pull_request:4078|pull_request:5833", + "pull_request:4078|pull_request:5834", + "pull_request:4223|pull_request:4262", + "pull_request:4240|pull_request:4717", + "pull_request:4272|pull_request:5834", + "pull_request:4397|pull_request:6236", + "pull_request:5386|pull_request:7068", + "pull_request:5386|pull_request:7451", + "pull_request:6078|pull_request:6081", + "pull_request:6144|pull_request:6633" + ], + "prepared_review_unit_hash": "04e6f4fbdffae45ebb120621ebde3463324c0ffc12e28757a747675e60211e6f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 98879, + "estimated_input_tokens": 24720, + "estimated_eval_tokens": 49696 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is very heterogeneous, but there is one plausible duplicate-style pair around Euler-discrete sigma handling in SDXL. Most other soft pairs are same subsystem/file but different fixes, so they should stay separate.", + "confidence": 0.58, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 6078 is the cleanest canonical representative among the near-duplicate candidates: it directly addresses the Euler-discrete sigma handling bug, and 6081 looks like an alternate pipeline-side attempt at the same fix.", + "best_issue_reason": null, + "best_pr_reason": "PR 6078 is the strongest representative PR here because it is a focused, merged fix for a concrete runtime issue, unlike the many broader docs/maintenance changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2385", + "right": "pull_request:2397", + "accept": false, + "reason": "Both touch Pix2Pix Zero, but one adds a helper and the other adds DDIM inversion/docs; different changes and not the same bug." + }, + { + "left": "pull_request:11522", + "right": "pull_request:12395", + "accept": false, + "reason": "Unrelated fixes: AudioLDM2/transformers compatibility vs test workflow dependency installation." + }, + { + "left": "pull_request:4408", + "right": "pull_request:5057", + "accept": false, + "reason": "One is SDXL single-file loading support, the other adds clip-skip support; different code paths and bugs." + }, + { + "left": "pull_request:12387", + "right": "pull_request:13280", + "accept": false, + "reason": "Both are flash-attention related, but one adds kernels support and the other adds FlashAttention-4 support; different concrete features." + }, + { + "left": "pull_request:3859", + "right": "pull_request:3968", + "accept": false, + "reason": "Both are SDXL-wide updates, but one adds new pipelines and the other is a larger docs/core cleanup; not the same underlying change." + }, + { + "left": "pull_request:13209", + "right": "pull_request:13255", + "accept": false, + "reason": "Same LoRA conversion file and ZImage theme, but one normalizes key names while the other changes missing-alpha handling; related, but not the same bug." + }, + { + "left": "pull_request:2037", + "right": "pull_request:3589", + "accept": false, + "reason": "Both edit community README content, but they add different community pipeline references and examples." + }, + { + "left": "pull_request:3245", + "right": "pull_request:4022", + "accept": false, + "reason": "These are separate translation updates for different languages, not duplicates." + }, + { + "left": "pull_request:325", + "right": "pull_request:365", + "accept": false, + "reason": "Both are type-hint cleanups, but they affect different classes/modules and are unrelated changes." + }, + { + "left": "pull_request:3321", + "right": "pull_request:4301", + "accept": false, + "reason": "Both are docs updates, but for different topics: controlling generation vs Kandinsky docs." + }, + { + "left": "pull_request:333", + "right": "pull_request:335", + "accept": false, + "reason": "Both add type hints, but one targets a pipeline and the other a scheduler; different artifacts and fixes." + }, + { + "left": "pull_request:3471", + "right": "pull_request:5298", + "accept": false, + "reason": "DreamBooth torch.compile docs note vs LoRA convolution runtime fix; same broad area, different changes." + }, + { + "left": "pull_request:3866", + "right": "pull_request:4343", + "accept": false, + "reason": "Both add a LoRA rank argument, but to different training scripts and model setups; not the same concrete PR." + }, + { + "left": "pull_request:3952", + "right": "pull_request:5671", + "accept": false, + "reason": "A packaging/version-pinning test PR and a dependency-check workflow tweak are unrelated." + }, + { + "left": "pull_request:4058", + "right": "pull_request:4196", + "accept": false, + "reason": "Both are SDXL docs, but one corrects an image section while the other expands micro-conditioning docs across multiple pipelines." + }, + { + "left": "pull_request:4078", + "right": "pull_request:5833", + "accept": false, + "reason": "Single-file accelerate enforcement vs ControlNet import fixes in docs/loading; different issues." + }, + { + "left": "pull_request:4078", + "right": "pull_request:5834", + "accept": false, + "reason": "Single-file accelerate enforcement vs a ControlNet import path fix; unrelated." + }, + { + "left": "pull_request:4223", + "right": "pull_request:4262", + "accept": false, + "reason": "Both are training-script fixes, but for different workflows (ControlNet SDXL vs DreamBooth LoRA SDXL)." + }, + { + "left": "pull_request:4240", + "right": "pull_request:4717", + "accept": false, + "reason": "Both are docs fixes, but for different pages and different missing-doc issues." + }, + { + "left": "pull_request:4272", + "right": "pull_request:5834", + "accept": false, + "reason": "Optional import cleanup across pipeline folders vs a specific single-file loading import fix; not the same bug." + }, + { + "left": "pull_request:4397", + "right": "pull_request:6236", + "accept": false, + "reason": "An SDXL docstring correction and a ControlNet inpainting docs example fix are unrelated." + }, + { + "left": "pull_request:5386", + "right": "pull_request:7068", + "accept": false, + "reason": "Both are typo-fix sweeps, but they touch different sets of files and are separate maintenance PRs." + }, + { + "left": "pull_request:5386", + "right": "pull_request:7451", + "accept": false, + "reason": "Another typo-fix sweep in different files and docs; same general maintenance class, not a duplicate." + }, + { + "left": "pull_request:6078", + "right": "pull_request:6081", + "accept": true, + "reason": "Both target the same Euler-discrete sigma/torch.compile problem in SDXL, with one fixing the scheduler side and the other moving the sigma adjustment into the pipeline; they look like alternative implementations of the same change." + }, + { + "left": "pull_request:6144", + "right": "pull_request:6633", + "accept": false, + "reason": "LoRA checkpoint-saving fix vs a checkpoint-YAML loading fix; different code paths and problems." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the soft-edge calls are generally conservative. The one accepted near-duplicate pair (6078/6081) is plausibly the same Euler-discrete sigma/torch.compile bugfix, while the rest are reasonably distinguished as different fixes or docs/maintenance changes." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 64, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10378", + "pull_request:10510", + "pull_request:10532", + "pull_request:10595", + "pull_request:10717", + "pull_request:10728", + "pull_request:10808", + "pull_request:10951", + "pull_request:11188", + "pull_request:11704", + "pull_request:11896", + "pull_request:12074", + "pull_request:12117", + "pull_request:12170", + "pull_request:12249", + "pull_request:1226", + "pull_request:12416", + "pull_request:12439", + "pull_request:12562", + "pull_request:12634", + "pull_request:13120", + "pull_request:13134", + "pull_request:13229", + "pull_request:13280", + "pull_request:13321", + "pull_request:13410", + "pull_request:1570", + "pull_request:1622", + "pull_request:2009", + "pull_request:2464", + "pull_request:2489", + "pull_request:2921", + "pull_request:3506", + "pull_request:3806", + "pull_request:3852", + "pull_request:3921", + "pull_request:4034", + "pull_request:4099", + "pull_request:4370", + "pull_request:5127", + "pull_request:5823", + "pull_request:5938", + "pull_request:6303", + "pull_request:7227", + "pull_request:9168", + "pull_request:9985", + "pull_request:9988" + ], + "soft_pairs": [ + "pull_request:7227|pull_request:9168", + "pull_request:12439|pull_request:13280", + "pull_request:10717|pull_request:10728", + "pull_request:13120|pull_request:13410", + "pull_request:2464|pull_request:2921", + "pull_request:3506|pull_request:3806", + "pull_request:4034|pull_request:5823", + "pull_request:10951|pull_request:11188", + "pull_request:9985|pull_request:9988", + "pull_request:12074|pull_request:12562", + "pull_request:10510|pull_request:10595", + "pull_request:1226|pull_request:2009", + "pull_request:4099|pull_request:4370", + "pull_request:12117|pull_request:12249", + "pull_request:12416|pull_request:12439", + "pull_request:5127|pull_request:5938", + "pull_request:10532|pull_request:10808", + "pull_request:10378|pull_request:11704", + "pull_request:13134|pull_request:13321", + "pull_request:1570|pull_request:1622", + "pull_request:2489|pull_request:3852", + "pull_request:3921|pull_request:6303", + "pull_request:11896|pull_request:12170", + "pull_request:12634|pull_request:13229" + ], + "prepared_review_unit_hash": "97120932c1ea37dea9ef865ce08ac8309f3884e952b7dc682d232d394090d42e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 101872, + "estimated_input_tokens": 25468, + "estimated_eval_tokens": 51192 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a heterogeneous set of unrelated pull requests; the soft pairs look like similarity false-positives rather than true duplicates. Only a couple are loosely adjacent by topic, but they do not fix the same concrete bug/change.", + "confidence": 0.34, + "canonical_issue_reason": null, + "canonical_pr_reason": "No issue artifacts are present. As a PR representative, #9985 is the broadest merged core feature change in the set and the most plausible anchor for the Flux-related subset of candidates.", + "best_issue_reason": null, + "best_pr_reason": "#9985 is the strongest overall representative because it is a large, merged, widely-scoped PR with multiple related Flux files touched; it is the closest thing to a central change among an otherwise mixed collection.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7227", + "right": "pull_request:9168", + "accept": false, + "reason": "Both touch DoRA/LoRA training flags, but one changes argument parsing and the other changes LoraConfig wiring; related area, different concrete change." + }, + { + "left": "pull_request:12439", + "right": "pull_request:13280", + "accept": false, + "reason": "Both are attention-backend additions, but they target different backends (kernels FA2/sage vs FA4) and are separate features." + }, + { + "left": "pull_request:10717", + "right": "pull_request:10728", + "accept": false, + "reason": "One adds IP-Adapter support to Flux img2img; the other fixes quantized Flux/IP-Adapter handling. Same subsystem, not the same bug or change." + }, + { + "left": "pull_request:13120", + "right": "pull_request:13410", + "accept": false, + "reason": "A modular-pipeline test addition vs an AI docs refactor; no shared underlying code-path problem." + }, + { + "left": "pull_request:2464", + "right": "pull_request:2921", + "accept": false, + "reason": "Training-script xformers cleanup and CPU offload hook indentation are unrelated changes." + }, + { + "left": "pull_request:3506", + "right": "pull_request:3806", + "accept": false, + "reason": "Checkpoint step scaling fix vs README inference note; documentation is not the same as the runtime bug." + }, + { + "left": "pull_request:4034", + "right": "pull_request:5823", + "accept": false, + "reason": "Both are LoRA utilities, but one adds unload support and the other adds adapter_names to fuse_lora; distinct behavior." + }, + { + "left": "pull_request:10951", + "right": "pull_request:11188", + "accept": false, + "reason": "Both update community pipeline docs/examples, but they are different pipelines and different additions." + }, + { + "left": "pull_request:9985", + "right": "pull_request:9988", + "accept": false, + "reason": "#9988 is a narrower Flux Redux follow-up, not the same full Flux Fill/Canny/Depth/Redux feature set as #9985." + }, + { + "left": "pull_request:12074", + "right": "pull_request:12562", + "accept": false, + "reason": "Wan LoRA loading support and a context-parallel crash fix are unrelated problems." + }, + { + "left": "pull_request:10510", + "right": "pull_request:10595", + "accept": false, + "reason": "DC-AE tiling support and a bf16 attention dtype fix are different code paths and different bugs." + }, + { + "left": "pull_request:1226", + "right": "pull_request:2009", + "accept": false, + "reason": "Padding/truncation behavior and textual inversion loader plumbing are unrelated." + }, + { + "left": "pull_request:4099", + "right": "pull_request:4370", + "accept": false, + "reason": "SDXL prompt-embed logic vs dummy import renaming; no shared defect." + }, + { + "left": "pull_request:12117", + "right": "pull_request:12249", + "accept": false, + "reason": "QwenImage img2img/inpaint pipeline addition and Step1X-Edit pipeline addition are entirely different features." + }, + { + "left": "pull_request:12416", + "right": "pull_request:12439", + "accept": false, + "reason": "QwenImage Edit Plus modular support and attention-backend support are unrelated." + }, + { + "left": "pull_request:5127", + "right": "pull_request:5938", + "accept": false, + "reason": "Multi-adapter SDXL adapter support and ControlNet LoRA support are separate feature areas." + }, + { + "left": "pull_request:10532", + "right": "pull_request:10808", + "accept": false, + "reason": "LoRA PEFT parsing fixes, but one handles state-dict conversion while the other changes config key handling; not the same concrete bug." + }, + { + "left": "pull_request:10378", + "right": "pull_request:11704", + "accept": false, + "reason": "Dreambooth LoRA training support and Wan AccVideo LoRA conversion are unrelated." + }, + { + "left": "pull_request:13134", + "right": "pull_request:13321", + "accept": false, + "reason": "Typing annotation cleanup and guarded torchvision import are unrelated fixes." + }, + { + "left": "pull_request:1570", + "right": "pull_request:1622", + "accept": false, + "reason": "Both modify the same community example, but one is a diffusers API compatibility fix and the other is a Pillow compatibility adjustment; not the same issue." + }, + { + "left": "pull_request:2489", + "right": "pull_request:3852", + "accept": false, + "reason": "CoreML docs addition vs a contributor note in another doc; no shared bug/change." + }, + { + "left": "pull_request:3921", + "right": "pull_request:6303", + "accept": false, + "reason": "Blended text inpainting WIP and ADD training scripts are unrelated." + }, + { + "left": "pull_request:11896", + "right": "pull_request:12170", + "accept": false, + "reason": "LoRA offload-hook disabling and Qwen LoRA conversion support are different subsystems and different goals." + }, + { + "left": "pull_request:12634", + "right": "pull_request:13229", + "accept": false, + "reason": "SANA-Video I2V pipeline support and LTX VAE support in Sana-Video are separate features, not one underlying fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 65, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10136", + "pull_request:10494", + "pull_request:11243", + "pull_request:11384", + "pull_request:11534", + "pull_request:11588", + "pull_request:11684", + "pull_request:11802", + "pull_request:11843", + "pull_request:11869", + "pull_request:11997", + "pull_request:12425", + "pull_request:12714", + "pull_request:13209", + "pull_request:13255", + "pull_request:13275", + "pull_request:13330", + "pull_request:1623", + "pull_request:1937", + "pull_request:2092", + "pull_request:2994", + "pull_request:3128", + "pull_request:3921", + "pull_request:4481", + "pull_request:4572", + "pull_request:5015", + "pull_request:5090", + "pull_request:5186", + "pull_request:6144", + "pull_request:6215", + "pull_request:6229", + "pull_request:6578", + "pull_request:6961", + "pull_request:7062", + "pull_request:7113", + "pull_request:7116", + "pull_request:7353", + "pull_request:748", + "pull_request:7825", + "pull_request:7938", + "pull_request:826", + "pull_request:8684", + "pull_request:8825", + "pull_request:9257", + "pull_request:9400", + "pull_request:9676", + "pull_request:9687" + ], + "soft_pairs": [ + "pull_request:10494|pull_request:9257", + "pull_request:11243|pull_request:11843", + "pull_request:12425|pull_request:13209", + "pull_request:13275|pull_request:13330", + "pull_request:1623|pull_request:2092", + "pull_request:3921|pull_request:4481", + "pull_request:5015|pull_request:6578", + "pull_request:5090|pull_request:7062", + "pull_request:5186|pull_request:7113", + "pull_request:6144|pull_request:7353", + "pull_request:6215|pull_request:7825", + "pull_request:6229|pull_request:6961", + "pull_request:7116|pull_request:7938", + "pull_request:748|pull_request:826", + "pull_request:7825|pull_request:9400", + "pull_request:8684|pull_request:9676", + "pull_request:8825|pull_request:9687", + "pull_request:11588|pull_request:11997", + "pull_request:10136|pull_request:11534", + "pull_request:11684|pull_request:11869", + "pull_request:10494|pull_request:11843", + "pull_request:11384|pull_request:11802", + "pull_request:12714|pull_request:13255", + "pull_request:1937|pull_request:3128", + "pull_request:2994|pull_request:4572" + ], + "prepared_review_unit_hash": "988b89b1e7fd234098767d64d5d945745bdec764d1a37073423c147e8b41cd0c", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 94001, + "estimated_input_tokens": 23501, + "estimated_eval_tokens": 47258 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is highly heterogeneous: the soft pairs are mostly same-subsystem but different changes, and none looks like a true duplicate or mergeable overlap. I rejected all soft edges.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents the whole cluster; the items span unrelated docs, workflow, LoRA, quantization, and model changes.", + "best_issue_reason": null, + "best_pr_reason": "No PR is a strong global canonical for this cluster. If forced, the most substantive core change is pull_request:10136, but it is not a duplicate of the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10494", + "right": "pull_request:9257", + "accept": false, + "reason": "Different bugs: tokenizers install in LoRA tests vs DreamBooth Flux training logic." + }, + { + "left": "pull_request:11243", + "right": "pull_request:11843", + "accept": false, + "reason": "Same broad LoRA area, but one adds Wan LoRA conversion and the other only adds Wan VACE exclude_modules tests." + }, + { + "left": "pull_request:12425", + "right": "pull_request:13209", + "accept": false, + "reason": "Unrelated fixes in different areas: torch.distributed import guard vs ZImage LoRA key normalization." + }, + { + "left": "pull_request:13275", + "right": "pull_request:13330", + "accept": false, + "reason": "Different test issues: Hunyuan llava kwargs fix vs torchao quantization test typing/workflow changes." + }, + { + "left": "pull_request:1623", + "right": "pull_request:2092", + "accept": false, + "reason": "Both edit requirements, but one updates multiple example requirements and the other removes wandb from one file; not the same change." + }, + { + "left": "pull_request:3921", + "right": "pull_request:4481", + "accept": false, + "reason": "Different artifacts and goals: community pipeline draft vs EDM pipeline/scheduler implementation." + }, + { + "left": "pull_request:5015", + "right": "pull_request:6578", + "accept": false, + "reason": "Both docs-related, but one fixes a broken link and the other changes ControlNet section heading structure." + }, + { + "left": "pull_request:5090", + "right": "pull_request:7062", + "accept": false, + "reason": "Different code paths: T2I Adapter accumulation bug vs Imagic docstring cleanup." + }, + { + "left": "pull_request:5186", + "right": "pull_request:7113", + "accept": false, + "reason": "Different changes: FreeU proof-of-concept in UNet blocks vs Docker Slack notification workflow." + }, + { + "left": "pull_request:6144", + "right": "pull_request:7353", + "accept": false, + "reason": "Different changes: training-script LoRA save logic vs making ControlNet SDXL img2img single-file capable." + }, + { + "left": "pull_request:6215", + "right": "pull_request:7825", + "accept": false, + "reason": "Different test fixes in unrelated subsystems: PixArt test initialization vs model device-map/offload tests." + }, + { + "left": "pull_request:6229", + "right": "pull_request:6961", + "accept": false, + "reason": "Different workflow/test adjustments: push test dependency install vs single-file loader fast tests." + }, + { + "left": "pull_request:7116", + "right": "pull_request:7938", + "accept": false, + "reason": "Related CI reporting area, but one rewires workflow installs and the other changes Docker status notification action." + }, + { + "left": "pull_request:748", + "right": "pull_request:826", + "accept": false, + "reason": "Same DreamBooth family but not the same change: hub push call fix vs fp16 loss cast fix." + }, + { + "left": "pull_request:7825", + "right": "pull_request:9400", + "accept": false, + "reason": "Different testing targets: generic model offload tests vs single-file pipeline device-agnostic updates." + }, + { + "left": "pull_request:8684", + "right": "pull_request:9676", + "accept": false, + "reason": "Different issues: Pillow import in ControlNet docs vs EntryNotFoundError import path in benchmarks." + }, + { + "left": "pull_request:8825", + "right": "pull_request:9687", + "accept": false, + "reason": "Both add control-related pipeline support, but for different pipelines and code paths; not mergeable as one PR." + }, + { + "left": "pull_request:11588", + "right": "pull_request:11997", + "accept": false, + "reason": "Both touch Wan/LoRA-adjacent code, but one is I2V LoRA support and the other is modular Wan I2V/FLF2V pipeline work." + }, + { + "left": "pull_request:10136", + "right": "pull_request:11534", + "accept": false, + "reason": "Same Hunyuan Video branding, but one is the core pipeline/model release and the other adds Framepack support for a different variant." + }, + { + "left": "pull_request:11684", + "right": "pull_request:11869", + "accept": false, + "reason": "Related GGUF area, but one adds loading support and the other adds CUDA kernel acceleration; distinct changes." + }, + { + "left": "pull_request:10494", + "right": "pull_request:11843", + "accept": false, + "reason": "No shared bug/change; a CI dependency fix is unrelated to a new Wan VACE test file." + }, + { + "left": "pull_request:11384", + "right": "pull_request:11802", + "accept": false, + "reason": "Both are deprecation-related but affect different APIs and code paths." + }, + { + "left": "pull_request:12714", + "right": "pull_request:13255", + "accept": false, + "reason": "Different test fix vs LoRA loading behavior change; not the same underlying bug." + }, + { + "left": "pull_request:1937", + "right": "pull_request:3128", + "accept": false, + "reason": "Both are conversion/pipeline fixes, but they address different components and bugs." + }, + { + "left": "pull_request:2994", + "right": "pull_request:4572", + "accept": false, + "reason": "Different training-script issues: ControlNet type casting vs SDXL LoRA network_alpha parameter naming." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 66, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10205", + "pull_request:10206", + "pull_request:10597", + "pull_request:10718", + "pull_request:10750", + "pull_request:10911", + "pull_request:11113", + "pull_request:11124", + "pull_request:11755", + "pull_request:11786", + "pull_request:11802", + "pull_request:11823", + "pull_request:11835", + "pull_request:11994", + "pull_request:12004", + "pull_request:12041", + "pull_request:12490", + "pull_request:3321", + "pull_request:3334", + "pull_request:3675", + "pull_request:3798", + "pull_request:3924", + "pull_request:4099", + "pull_request:4629", + "pull_request:4659", + "pull_request:4666", + "pull_request:4714", + "pull_request:4744", + "pull_request:4783", + "pull_request:4847", + "pull_request:4859", + "pull_request:5506", + "pull_request:5807", + "pull_request:5979", + "pull_request:6259", + "pull_request:6673", + "pull_request:6764", + "pull_request:6904", + "pull_request:6972", + "pull_request:7507", + "pull_request:7786", + "pull_request:8467", + "pull_request:8685", + "pull_request:8913", + "pull_request:9257", + "pull_request:9473", + "pull_request:9838", + "pull_request:9993" + ], + "soft_pairs": [ + "pull_request:3321|pull_request:3924", + "pull_request:3675|pull_request:4859", + "pull_request:3798|pull_request:4714", + "pull_request:4099|pull_request:4859", + "pull_request:4859|pull_request:6972", + "pull_request:6764|pull_request:8685", + "pull_request:7786|pull_request:8467", + "pull_request:8913|pull_request:9993", + "pull_request:6673|pull_request:7507", + "pull_request:10205|pull_request:10206", + "pull_request:10206|pull_request:9473", + "pull_request:3334|pull_request:4744", + "pull_request:4629|pull_request:4666", + "pull_request:4659|pull_request:4783", + "pull_request:5506|pull_request:5807", + "pull_request:6259|pull_request:6904", + "pull_request:9257|pull_request:9838", + "pull_request:12004|pull_request:12041", + "pull_request:10597|pull_request:10718", + "pull_request:11113|pull_request:9838", + "pull_request:11124|pull_request:11786", + "pull_request:11755|pull_request:11994", + "pull_request:11835|pull_request:12490", + "pull_request:10911|pull_request:11802", + "pull_request:4847|pull_request:5979", + "pull_request:10750|pull_request:11823" + ], + "prepared_review_unit_hash": "011d2910399597b3484c9e1e1276f21b7306a63b32643fbca16644425a9bdd08", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 97094, + "estimated_input_tokens": 24274, + "estimated_eval_tokens": 48804 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated PRs across docs, CI, training scripts, LoRA loaders, pipeline fixes, and large feature work. I don\u2019t see a single underlying bug/change tying them together, and none of the soft pairs look like true duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "PR 12004 is the broadest substantive code change in the set, spanning converter/model/pipeline/test updates with multiple references, so it is the least arbitrary representative even though the cluster is not a true duplicate group.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3321", + "right": "pull_request:3924", + "accept": false, + "reason": "Both are documentation edits, but they cover different topics and files; no shared bug/change." + }, + { + "left": "pull_request:3675", + "right": "pull_request:4859", + "accept": false, + "reason": "Different pipeline tests with unrelated fixes; same 'test' label is not enough." + }, + { + "left": "pull_request:3798", + "right": "pull_request:4714", + "accept": false, + "reason": "Training-script comment cleanup vs an import-utils error-message fix; 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they fix different concrete test infrastructure issues." + }, + { + "left": "pull_request:2388", + "right": "pull_request:2490", + "accept": false, + "reason": "Creating the controlling-generation docs page and later adding MultiDiffusion to it are sequential doc edits, not duplicates of the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 73, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:2396", + "pull_request:2398", + "pull_request:2404", + "pull_request:2433", + "pull_request:2446", + "pull_request:2487", + "pull_request:2489", + "pull_request:2539", + "pull_request:2540", + "pull_request:2569", + "pull_request:2598", + "pull_request:2639", + "pull_request:2715", + "pull_request:2757", + "pull_request:2760", + "pull_request:2766", + "pull_request:2814", + "pull_request:2815", + "pull_request:2817", + "pull_request:2897", + "pull_request:2922", + "pull_request:2959", + "pull_request:299", + "pull_request:2994", + "pull_request:3022", + "pull_request:3068", + "pull_request:3165", + "pull_request:3241", + "pull_request:3449", + "pull_request:3474", + "pull_request:3554", + "pull_request:3555", + "pull_request:3800", + "pull_request:3923", + "pull_request:3987", + "pull_request:4058", + "pull_request:408", + "pull_request:420", + "pull_request:4479", + "pull_request:4607", + "pull_request:4859", + "pull_request:5188", + "pull_request:802", + "pull_request:824", + "pull_request:889", + "pull_request:910", + "pull_request:936", + "pull_request:979" + ], + "soft_pairs": [ + "pull_request:2396|pull_request:3241", + "pull_request:2398|pull_request:2489", + "pull_request:2404|pull_request:3800", + "pull_request:2433|pull_request:3474", + "pull_request:2433|pull_request:4607", + "pull_request:2446|pull_request:408", + "pull_request:2446|pull_request:802", + "pull_request:2487|pull_request:824", + "pull_request:2539|pull_request:3923", + "pull_request:2540|pull_request:4058", + "pull_request:2540|pull_request:420", + "pull_request:2569|pull_request:2817", + "pull_request:2598|pull_request:2897", + "pull_request:2598|pull_request:910", + "pull_request:2639|pull_request:3165", + "pull_request:2715|pull_request:4479", + "pull_request:2757|pull_request:3987", + "pull_request:2757|pull_request:889", + "pull_request:2760|pull_request:3068", + "pull_request:2760|pull_request:3554", + "pull_request:2760|pull_request:3555", + "pull_request:2766|pull_request:3449", + "pull_request:2814|pull_request:2815", + "pull_request:2815|pull_request:2922", + "pull_request:2959|pull_request:4859", + "pull_request:299|pull_request:936", + "pull_request:2994|pull_request:5188", + "pull_request:3022|pull_request:979" + ], + "prepared_review_unit_hash": "ad0576c6fcb0cde5887c99be816e231ee387f5549c0d80705ab0641579d7e04a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 94884, + "estimated_input_tokens": 23721, + "estimated_eval_tokens": 47698 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: it mixes unrelated docs edits, typo fixes, test adjustments, and a few real code-path fixes across different components. There is no single underlying bug or change that unifies these into a true duplicate set.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:2396", + "right": "pull_request:3241", + "accept": false, + "reason": "Unrelated test-warning cleanup in scheduler tests vs. a fast-test tolerance tweak for UnCLIP; different code paths and purposes." + }, + { + "left": "pull_request:2398", + "right": "pull_request:2489", + "accept": false, + "reason": "Both are docs-related, but one updates Pix2Pix Zero docs while the other adds a JAX/Flax guide; separate features." + }, + { + "left": "pull_request:2404", + "right": "pull_request:3800", + "accept": false, + "reason": "Typo fix for AttnProcessor2_0 symbol vs. a panorama indexing bug fix; unrelated code changes." + }, + { + "left": "pull_request:2433", + "right": "pull_request:3474", + "accept": false, + "reason": "SDEdit note in img2img docs vs. adding Attention Processor docs; different documentation topics." + }, + { + "left": "pull_request:2433", + "right": "pull_request:4607", + "accept": false, + "reason": "Img2img docs note vs. API overview additions for PushToHubMixin; not the same change." + }, + { + "left": "pull_request:2446", + "right": "pull_request:408", + "accept": false, + "reason": "Pix2Pix docs snippet fix vs. broad docs typo cleanup across multiple files; not a duplicate bug or change." + }, + { + "left": "pull_request:2446", + "right": "pull_request:802", + "accept": false, + "reason": "Pix2Pix docs code snippet fix vs. indentation fix in a custom pipeline example; unrelated documentation issues." + }, + { + "left": "pull_request:2487", + "right": "pull_request:824", + "accept": false, + "reason": "Stable Diffusion JAX/Flax guide addition vs. a Flax pipeline test addition; different artifacts and scope." + }, + { + "left": "pull_request:2539", + "right": "pull_request:3923", + "accept": false, + "reason": "Fixes an incorrect default in pix2pix-zero docstring vs. adding a missing torch import in stable diffusion docs; separate issues." + }, + { + "left": "pull_request:2540", + "right": "pull_request:4058", + "accept": false, + "reason": "ControlNet docs section correction vs. SDXL docs layout/content correction; unrelated docs fixes." + }, + { + "left": "pull_request:2540", + "right": "pull_request:420", + "accept": false, + "reason": "ControlNet docs correction vs. older optimization-section reorg and content replacement; not the same change." + }, + { + "left": "pull_request:2569", + "right": "pull_request:2817", + "accept": false, + "reason": "OpenVINO docs addition vs. UNet1D extra_in_channels documentation; different features and files." + }, + { + "left": "pull_request:2598", + "right": "pull_request:2897", + "accept": false, + "reason": "Paint-by-example docs update vs. Stable UnCLIP docs example addition; distinct pipeline docs." + }, + { + "left": "pull_request:2598", + "right": "pull_request:910", + "accept": false, + "reason": "Paint-by-example docs update vs. initial in-painting pipeline docs update; different pipelines and content." + }, + { + "left": "pull_request:2639", + "right": "pull_request:3165", + "accept": false, + "reason": "Basic training tutorial tweak vs. custom diffusion docs formatting/spacing update; unrelated docs changes." + }, + { + "left": "pull_request:2715", + "right": "pull_request:4479", + "accept": false, + "reason": "Broad typo cleanup across models/docs vs. typo fixes in several pipeline docstrings; not the same concrete fix." + }, + { + "left": "pull_request:2757", + "right": "pull_request:3987", + "accept": false, + "reason": "Depth batching code fix vs. audio diffusion doc snippet fix; different domains and no shared bug." + }, + { + "left": "pull_request:2757", + "right": "pull_request:889", + "accept": false, + "reason": "Depth2img batching bug fix vs. adding components docs/functionality; unrelated changes." + }, + { + "left": "pull_request:2760", + "right": "pull_request:3068", + "accept": false, + "reason": "Different textual inversion-related example/docs changes, but one is a new quantization example and the other is training/docs refactoring; not the same underlying change." + }, + { + "left": "pull_request:2760", + "right": "pull_request:3554", + "accept": false, + "reason": "Quantization/distillation textual inversion example vs. a multi-example Moreh integration PR; separate codebases and intent." + }, + { + "left": "pull_request:2760", + "right": "pull_request:3555", + "accept": false, + "reason": "Quantization/distillation textual inversion example vs. another Moreh textual inversion integration PR; not the same concrete fix or feature." + }, + { + "left": "pull_request:2766", + "right": "pull_request:3449", + "accept": false, + "reason": "Torch 2.0 MPS test expectation updates vs. workflow rework for MPS/ONNX tests; one is a test assertion fix, the other CI restructuring." + }, + { + "left": "pull_request:2814", + "right": "pull_request:2815", + "accept": false, + "reason": "Stable UnCLIP pipeline implementation completion vs. Stable unCLIP docs update; one is code, the other documentation." + }, + { + "left": "pull_request:2815", + "right": "pull_request:2922", + "accept": false, + "reason": "Stable unCLIP docs update vs. a minor unclip.mdx punctuation correction; different scope and files." + }, + { + "left": "pull_request:2959", + "right": "pull_request:4859", + "accept": false, + "reason": "UNet3D norm-group test fix vs. SDXL inpaint fast-test input fix; unrelated tests for different models." + }, + { + "left": "pull_request:299", + "right": "pull_request:936", + "accept": false, + "reason": "PNDM scheduler hotfix vs. moving stable diffusion tests into separate files; unrelated code and test maintenance." + }, + { + "left": "pull_request:2994", + "right": "pull_request:5188", + "accept": false, + "reason": "ControlNet training dtype-casting fix vs. adding compute_snr to training utils; different training issues and code paths." + }, + { + "left": "pull_request:3022", + "right": "pull_request:979", + "accept": false, + "reason": "Adding AttnProcessor2_0 to a union type vs. inserting a missing torch import in README; unrelated fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 74, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:3030", + "pull_request:3063", + "pull_request:3069", + "pull_request:3099", + "pull_request:3118", + "pull_request:3132", + "pull_request:316", + "pull_request:3166", + "pull_request:3183", + "pull_request:325", + "pull_request:3266", + "pull_request:3331", + "pull_request:335", + "pull_request:3474", + "pull_request:3547", + "pull_request:3554", + "pull_request:3555", + "pull_request:3572", + "pull_request:3577", + "pull_request:3581", + "pull_request:3608", + "pull_request:3710", + "pull_request:3744", + "pull_request:3786", + "pull_request:3820", + "pull_request:3894", + "pull_request:3921", + "pull_request:3923", + "pull_request:3952", + "pull_request:4172", + "pull_request:4612", + "pull_request:4741", + "pull_request:4853", + "pull_request:4965", + "pull_request:4984", + "pull_request:5039", + "pull_request:5065", + "pull_request:5066", + "pull_request:5303", + "pull_request:5448", + "pull_request:5549", + "pull_request:5723", + "pull_request:5745", + "pull_request:5780", + "pull_request:5871", + "pull_request:822", + "pull_request:971" + ], + "soft_pairs": [ + "pull_request:3030|pull_request:3183", + "pull_request:3063|pull_request:3099", + "pull_request:3069|pull_request:822", + "pull_request:3118|pull_request:5066", + "pull_request:3132|pull_request:5065", + "pull_request:3132|pull_request:5066", + "pull_request:316|pull_request:971", + "pull_request:3166|pull_request:4965", + "pull_request:325|pull_request:335", + "pull_request:3266|pull_request:5303", + "pull_request:3331|pull_request:3572", + "pull_request:3474|pull_request:5723", + "pull_request:3547|pull_request:5549", + "pull_request:3554|pull_request:5039", + "pull_request:3555|pull_request:5039", + "pull_request:3572|pull_request:3744", + "pull_request:3577|pull_request:4612", + "pull_request:3581|pull_request:5780", + "pull_request:3608|pull_request:3820", + "pull_request:3608|pull_request:5066", + "pull_request:3710|pull_request:4853", + "pull_request:3786|pull_request:4984", + "pull_request:3894|pull_request:4172", + "pull_request:3921|pull_request:5448", + "pull_request:3923|pull_request:4741", + "pull_request:3923|pull_request:5745", + "pull_request:3952|pull_request:5871" + ], + "prepared_review_unit_hash": "5805706261319717a3b01d69e2c9944e96de973d16d4bdf00875598f98a0118d", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 27, + "serialized_chars": 89401, + "estimated_input_tokens": 22351, + "estimated_eval_tokens": 44958 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is a loose grab-bag of unrelated PRs; none of the soft-edge pairs look like the same underlying bug or change. Most are just similar titles in the same broad area (docs, typos, type hints, or pipeline examples), but the diffs target different files and code paths.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5448 is the strongest representative: it is a large, merged feature PR with an explicit issue target, broad but coherent scope, and substantial review activity.", + "best_issue_reason": null, + "best_pr_reason": "PR 5448 is the best global representative because it is the most substantive merged change in the set, whereas the rest are mostly small, isolated fixes or docs tweaks.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3030", + "right": "pull_request:3183", + "accept": false, + "reason": "Different bugs in different pipelines: panorama CFG handling vs DreamBooth LoRA checkpoint registration." + }, + { + "left": "pull_request:3063", + "right": "pull_request:3099", + "accept": false, + "reason": "Both are small bug fixes, but one is pipeline __setattr__ None handling and the other is an Attend-and-Excite default argument change." + }, + { + "left": "pull_request:3069", + "right": "pull_request:822", + "accept": false, + "reason": "Unrelated changes: Flax TPU test expectations vs Flax scheduler API updates." + }, + { + "left": "pull_request:3118", + "right": "pull_request:5066", + "accept": false, + "reason": "Different code paths: ControlNet image preparation defaults vs a typo/cleanup in attention processor logic." + }, + { + "left": "pull_request:3132", + "right": "pull_request:5065", + "accept": false, + "reason": "A type-hint fix in Score SDE VE is unrelated to a LoRA/attention-processor typo fix." + }, + { + "left": "pull_request:3132", + "right": "pull_request:5066", + "accept": false, + "reason": "Different files and changes: Score SDE VE typing vs attention-processor behavior/cleanup." + }, + { + "left": "pull_request:316", + "right": "pull_request:971", + "accept": false, + "reason": "README contribution text is unrelated to the Bit Diffusion community-pipeline work." + }, + { + "left": "pull_request:3166", + "right": "pull_request:4965", + "accept": false, + "reason": "Different documentation/code changes for textual inversion docs vs Wuerstchen docs formatting." + }, + { + "left": "pull_request:325", + "right": "pull_request:335", + "accept": false, + "reason": "Both touch type hints, but they are separate scheduler classes with different APIs and no shared bug." + }, + { + "left": "pull_request:3266", + "right": "pull_request:5303", + "accept": false, + "reason": "Community-pipeline version-loading logic is unrelated to DeepFloyd IF docstring cleanup." + }, + { + "left": "pull_request:3331", + "right": "pull_request:3572", + "accept": false, + "reason": "Both are docs typos, but they affect different inpainting docs pages and different examples." + }, + { + "left": "pull_request:3474", + "right": "pull_request:5723", + "accept": false, + "reason": "Both are docs additions, but one adds AttnProcessor API docs and the other adds LCM docs; not the same change." + }, + { + "left": "pull_request:3547", + "right": "pull_request:5549", + "accept": false, + "reason": "Initial BibTeX references and initial Portuguese translation are unrelated documentation additions." + }, + { + "left": "pull_request:3554", + "right": "pull_request:5039", + "accept": false, + "reason": "The fork's textual-inversion example changes are not the same underlying change as SDXL textual inversion docs." + }, + { + "left": "pull_request:3555", + "right": "pull_request:5039", + "accept": false, + "reason": "Different scope: forked training/example files vs SDXL documentation for textual inversion." + }, + { + "left": "pull_request:3572", + "right": "pull_request:3744", + "accept": false, + "reason": "ControlNet inpainting doc copy edits are unrelated to the docs-upload token workflow fix." + }, + { + "left": "pull_request:3577", + "right": "pull_request:4612", + "accept": false, + "reason": "Both fix links, but in different docs pages and for different targets; not one duplicate change." + }, + { + "left": "pull_request:3581", + "right": "pull_request:5780", + "accept": false, + "reason": "Different community scripts and different changes; no shared underlying bug or feature." + }, + { + "left": "pull_request:3608", + "right": "pull_request:3820", + "accept": false, + "reason": "Typos in two different example docs/scripts are not the same issue." + }, + { + "left": "pull_request:3608", + "right": "pull_request:5066", + "accept": false, + "reason": "Text-to-image example typo fix is unrelated to the attention-processor cleanup." + }, + { + "left": "pull_request:3710", + "right": "pull_request:4853", + "accept": false, + "reason": "Documentation addition for image processor vs a functional width/height bug fix in image_processor.py." + }, + { + "left": "pull_request:3786", + "right": "pull_request:4984", + "accept": false, + "reason": "Both touch the PR template, but one adds the template and the other tweaks reviewer names; not the same underlying change." + }, + { + "left": "pull_request:3894", + "right": "pull_request:4172", + "accept": false, + "reason": "Flax UNet dropout addition and Flax model type-casting are separate model features/fixes." + }, + { + "left": "pull_request:3921", + "right": "pull_request:5448", + "accept": false, + "reason": "Different feature pipelines: blended text inpainting vs latent consistency models." + }, + { + "left": "pull_request:3923", + "right": "pull_request:4741", + "accept": false, + "reason": "Docs typo in stable diffusion guide is unrelated to AudioLDM2 dummy import fixes." + }, + { + "left": "pull_request:3923", + "right": "pull_request:5745", + "accept": false, + "reason": "A docs import fix is unrelated to the ConsistencyDecoderVAE doc example correction." + }, + { + "left": "pull_request:3952", + "right": "pull_request:5871", + "accept": false, + "reason": "These are unrelated temporary/test-only PRs in different areas: dependency pinning vs deprecated scheduler rebase." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 75, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:3983", + "pull_request:3985", + "pull_request:3989", + "pull_request:4058", + "pull_request:406", + "pull_request:4082", + "pull_request:421", + "pull_request:4211", + "pull_request:4267", + "pull_request:4275", + "pull_request:4320", + "pull_request:4330", + "pull_request:4350", + "pull_request:4351", + "pull_request:4397", + "pull_request:4479", + "pull_request:4495", + "pull_request:4546", + "pull_request:4570", + 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"pull_request:4275", + "right": "pull_request:6440", + "accept": false, + "reason": "Different documentation pages and different fixes." + }, + { + "left": "pull_request:4275", + "right": "pull_request:6620", + "accept": false, + "reason": "Autopipeline docs vs. script argument docs; no duplicate change." + }, + { + "left": "pull_request:4320", + "right": "pull_request:5961", + "accept": false, + "reason": "Typo fixes in unrelated docs/docstrings." + }, + { + "left": "pull_request:4330", + "right": "pull_request:6596", + "accept": false, + "reason": "Both change headers, but in different READMEs and for different content." + }, + { + "left": "pull_request:4350", + "right": "pull_request:5745", + "accept": false, + "reason": "FP16 adapter docs and ConsistencyDecoder doc type fixes are unrelated." + }, + { + "left": "pull_request:4350", + "right": "pull_request:6475", + "accept": false, + "reason": "Different model/doc fixes in unrelated pipelines." + }, + { + "left": "pull_request:4351", + "right": "pull_request:5454", + "accept": false, + "reason": "README image-path tweak and scheduler-link docs fix are unrelated." + }, + { + "left": "pull_request:4351", + "right": "pull_request:6438", + "accept": false, + "reason": "A README image URL change and an installation note are different doc edits." + }, + { + "left": "pull_request:4397", + "right": "pull_request:4783", + "accept": false, + "reason": "Both are SDXL docs, but one updates guidance_scale defaults while the other documents force-zero embeddings; separate changes." + }, + { + "left": "pull_request:4479", + "right": "pull_request:5051", + "accept": false, + "reason": "Misc typos across several pipelines vs. Wuerstchen typo docs; not the same change." + }, + { + "left": "pull_request:4495", + "right": "pull_request:5982", + "accept": false, + "reason": "Community SDXL reference code and SDXL Turbo docs are unrelated." + }, + { + "left": "pull_request:4570", + "right": "pull_request:5818", + 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Pix2Pix Zero guide; different content additions." + }, + { + "left": "pull_request:4794", + "right": "pull_request:4999", + "accept": false, + "reason": "Weighted-prompts compel syntax correction is unrelated to Wuerstchen docs and pipeline examples." + }, + { + "left": "pull_request:4822", + "right": "pull_request:5961", + "accept": false, + "reason": "A LoRA warning-string typo and a PixArt docstring default-value typo are different code paths and fixes." + }, + { + "left": "pull_request:4853", + "right": "pull_request:5065", + "accept": false, + "reason": "Image processor width handling is a functional bug; guidance_rescale docstring text is a separate documentation change." + }, + { + "left": "pull_request:4856", + "right": "pull_request:6314", + "accept": false, + "reason": "These are different broken links on different docs pages: SDXL guide link versus T2I-Adapter paper link." + }, + { + "left": "pull_request:4856", + "right": "pull_request:6462", + "accept": false, + "reason": "A Stable Diffusion XL link fix and an aMUSEd paper-link fix are unrelated docs edits." + }, + { + "left": "pull_request:5041", + "right": "pull_request:5982", + "accept": false, + "reason": "SDXL refiner-only test changes and SDXL Turbo documentation are different artifacts and changes." + }, + { + "left": "pull_request:5063", + "right": "pull_request:5961", + "accept": false, + "reason": "A broad guidance_rescale docstring update across pipelines is not the same as a PixArt docstring default correction." + }, + { + "left": "pull_request:517", + "right": "pull_request:885", + "accept": false, + "reason": "A CI test-report workflow change and a new DPM encoder scheduler implementation are unrelated." + }, + { + "left": "pull_request:5236", + "right": "pull_request:5983", + "accept": false, + "reason": "KO unconditional-image-generation formatting fixes are unrelated to SVD doc formatting/link cleanup." + }, + { + "left": "pull_request:5267", + "right": "pull_request:6209", + "accept": false, + "reason": "The README.md documentation-conventions update is not the same change as the text_to_image example script instructions." + }, + { + "left": "pull_request:5267", + "right": "pull_request:7495", + "accept": false, + "reason": "README formatting guidance and Colab notebook link fixes are different documentation issues." + }, + { + "left": "pull_request:5298", + "right": "pull_request:5991", + "accept": false, + "reason": "Both concern LoRA, but one fixes torch.compile behavior in conv layers and the other fixes duplicate unet prefix serialization handling." + }, + { + "left": "pull_request:5386", + "right": "pull_request:7181", + "accept": false, + "reason": "These are both typo sweeps, but they touch different files and different typo sets; no single bug/change to merge." + }, + { + "left": "pull_request:5411", + "right": "pull_request:6998", + "accept": false, + "reason": "A broken textual-inversion training-doc link is unrelated to the IP-Adapter callout marker 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in a community pipeline and fixing offload behavior with device_map are different bugs." + }, + { + "left": "pull_request:5823", + "right": "pull_request:6229", + "accept": false, + "reason": "Adding adapter_names support in fuse_lora is unrelated to installing peft in fast push tests." + }, + { + "left": "pull_request:5823", + "right": "pull_request:6308", + "accept": false, + "reason": "A new fuse_lora feature and LoRA PEFT dummy-component test fixes are not the same code-path change." + }, + { + "left": "pull_request:5828", + "right": "pull_request:7747", + "accept": false, + "reason": "A memory-related VAE test tweak and a VAE tiling test fix are different tests and different failures." + }, + { + "left": "pull_request:5831", + "right": "pull_request:6604", + "accept": false, + "reason": "A toctree title fix and missing AutoencoderKL API docs are unrelated documentation updates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 77, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:5838", + "pull_request:5855", + "pull_request:5901", + "pull_request:5911", + "pull_request:5961", + "pull_request:5982", + "pull_request:5986", + "pull_request:60", + "pull_request:6081", + "pull_request:61", + "pull_request:6106", + "pull_request:6122", + "pull_request:6144", + "pull_request:6147", + "pull_request:6163", + "pull_request:6209", + "pull_request:6221", + "pull_request:6229", + "pull_request:6276", + "pull_request:6291", + "pull_request:63", + "pull_request:6308", + "pull_request:6311", + "pull_request:6332", + "pull_request:6339", + "pull_request:6403", + 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"pull_request:61|pull_request:98", + "pull_request:6106|pull_request:7015", + "pull_request:6122|pull_request:7181", + "pull_request:6144|pull_request:6952", + "pull_request:6147|pull_request:6961", + "pull_request:6163|pull_request:6221", + "pull_request:6229|pull_request:6311", + "pull_request:6229|pull_request:7797", + "pull_request:6229|pull_request:7803", + "pull_request:6229|pull_request:7804", + "pull_request:6276|pull_request:8426", + "pull_request:6291|pull_request:7301", + "pull_request:63|pull_request:98", + "pull_request:6308|pull_request:6965", + "pull_request:6332|pull_request:7062", + "pull_request:6339|pull_request:6620" + ], + "prepared_review_unit_hash": "2600ff50487d3f6145c149ceda37d8c7a7fdaf9c61caee528321c95b8298a413", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + 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change." + }, + { + "left": "pull_request:6081", + "right": "pull_request:7913", + "accept": false, + "reason": "Both mention sigmas/timesteps, but one is an Euler-discrete pipeline edit and the other adds custom sigmas/timesteps support for a different pipeline." + }, + { + "left": "pull_request:61", + "right": "pull_request:98", + "accept": false, + "reason": "Different conversion scripts for different model families." + }, + { + "left": "pull_request:6106", + "right": "pull_request:7015", + "accept": false, + "reason": "Both fix examples/docs around single-file usage, but they address different scripts and different single-file loading problems." + }, + { + "left": "pull_request:6122", + "right": "pull_request:7181", + "accept": false, + "reason": "Both are typo fixes, but they span unrelated files and unrelated edits." + }, + { + "left": "pull_request:6144", + "right": "pull_request:6952", + "accept": false, + "reason": "Both update training/example scripts, but they are different recipes and different fixes." + }, + { + "left": "pull_request:6147", + "right": "pull_request:6961", + "accept": false, + "reason": "One fixes SDXL inpainting single-file loading; the other adds fast tests for single-file loaders." + }, + { + "left": "pull_request:6163", + "right": "pull_request:6221", + "accept": false, + "reason": "Both are test cleanups, but they cover different pipelines and different issues." + }, + { + "left": "pull_request:6229", + "right": "pull_request:6311", + "accept": false, + "reason": "One adds a dependency to fast tests; the other adds documentation for a fast-diffusion tutorial." + }, + { + "left": "pull_request:6229", + "right": "pull_request:7797", + "accept": false, + "reason": "Different changes: dependency setup versus shrinking DDPM fast-test model size." + }, + { + "left": "pull_request:6229", + "right": "pull_request:7803", + "accept": false, + "reason": "Different changes: dependency setup versus shrinking DDIM fast-test model size." + }, + { + "left": "pull_request:6229", + "right": "pull_request:7804", + "accept": false, + "reason": "Different changes: dependency setup versus shrinking AMUSED fast-test models." + }, + { + "left": "pull_request:6276", + "right": "pull_request:8426", + "accept": false, + "reason": "A community pipeline feature PR and a workflow fix are unrelated." + }, + { + "left": "pull_request:6291", + "right": "pull_request:7301", + "accept": false, + "reason": "One adjusts LoRA unfusion test behavior; the other corrects a VAE scaling constant." + }, + { + "left": "pull_request:63", + "right": "pull_request:98", + "accept": false, + "reason": "Different conversion utilities for different pipelines/models." + }, + { + "left": "pull_request:6308", + "right": "pull_request:6965", + "accept": false, + "reason": "Both touch LoRA tests, but they target different test scenarios and different pipelines." + }, + { + "left": "pull_request:6332", + "right": "pull_request:7062", + "accept": false, + "reason": "Different community pipelines and different features/documentation." + }, + { + "left": "pull_request:6339", + "right": "pull_request:6620", + "accept": false, + "reason": "Both are doc-oriented fixes, but they address unrelated files and content." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 78, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:6424", + "pull_request:6573", + "pull_request:6669", + "pull_request:6680", + "pull_request:6764", + "pull_request:6789", + "pull_request:6868", + "pull_request:7068", + "pull_request:7113", + "pull_request:7118", + "pull_request:7236", + "pull_request:7247", + "pull_request:7325", + "pull_request:7360", + "pull_request:7451", + "pull_request:7542", + "pull_request:7544", + "pull_request:7709", + "pull_request:7719", + "pull_request:7746", + "pull_request:7786", + "pull_request:7868", + "pull_request:7919", + "pull_request:7932", + "pull_request:7934", + "pull_request:7977", + "pull_request:8230", + "pull_request:8426", + "pull_request:8470", + "pull_request:8483", + "pull_request:8490", + "pull_request:8498", + "pull_request:8583", + "pull_request:8600", + "pull_request:8642", + "pull_request:8675", + "pull_request:8691", + "pull_request:8851", + "pull_request:8860", + "pull_request:8883", + "pull_request:8984", + "pull_request:9066", + "pull_request:9077", + "pull_request:9100", + "pull_request:9249", + "pull_request:9286", + "pull_request:9765", + "pull_request:9860" + ], + "soft_pairs": [ + "pull_request:6424|pull_request:6789", + "pull_request:6573|pull_request:6868", + "pull_request:6669|pull_request:8470", + 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"pull_request:8583|pull_request:8984", + "pull_request:8583|pull_request:9249", + "pull_request:8583|pull_request:9860", + "pull_request:8600|pull_request:9286" + ], + "prepared_review_unit_hash": "9698391277a72974b12514fbc6a8d9e8689f1cb1080be9bec5b75c78c76526b3", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 31, + "serialized_chars": 102104, + "estimated_input_tokens": 25526, + "estimated_eval_tokens": 51308 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated PRs bundled by broad subsystem overlap or typo/test cleanup. The only near-duplicate is the PixArt converter/inference fix pair; the rest are distinct changes and should not be merged as duplicates.", + "confidence": 0.74, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a clean canonical duplicate for this cluster because the items span unrelated docs, CI, test, and model changes; if forced, 8483 is the broadest functional umbrella, but it is not a true duplicate target.", + "best_issue_reason": null, + "best_pr_reason": "8483 is the most central and broadest functional change in the set, but the cluster is too heterogeneous for a strong canonical PR choice.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6424", + "right": "pull_request:6789", + "accept": true, + "reason": "Both address the same PixArt converter/inference bug around the 256px path and weight mapping; 6789 is a broader superset of the same fix." + }, + { + "left": "pull_request:6573", + "right": "pull_request:6868", + "accept": false, + "reason": "Both mention IP-Adapter, but they fix different problems: multi-adapter support vs. embedding/offload handling in pipeline calls." + }, + { + "left": "pull_request:6669", + "right": "pull_request:8470", + "accept": false, + "reason": "Unrelated README/doc updates with different content and no shared concrete bug/change." + }, + { + "left": "pull_request:6680", + "right": "pull_request:7746", + "accept": false, + "reason": "Different test failures in different areas: DPM scheduler slow test vs. VAE tiling consistency test." + }, + { + "left": "pull_request:6680", + "right": "pull_request:8883", + "accept": false, + "reason": "One is a scheduler test tweak, the other is a CI workflow overhaul; not the same underlying change." + }, + { + "left": "pull_request:6764", + "right": "pull_request:7113", + "accept": false, + "reason": "Documentation note about serialization vs. Docker CI Slack notifications are unrelated." + }, + { + "left": "pull_request:7068", + "right": "pull_request:7325", + "accept": false, + "reason": "Both are typo cleanup PRs, but they target different files and edits; not the same concrete change." + }, + { + "left": "pull_request:7068", + "right": "pull_request:9077", + "accept": false, + "reason": "Generic typo fixes, but on different docs/code paths and different edits." + }, + { + "left": "pull_request:7118", + "right": "pull_request:7325", + "accept": false, + "reason": "Both are docs typo fixes, but they are separate edits to different sections and not one duplicate bug." + }, + { + "left": "pull_request:7236", + "right": "pull_request:9286", + "accept": false, + "reason": "DreamBooth training script changes vs. a package export update are unrelated." + }, + { + "left": "pull_request:7247", + "right": "pull_request:7932", + "accept": false, + "reason": "Different test fixes in different areas: single-file config checking vs. LoRA RGB-ordering expectations." + }, + { + "left": "pull_request:7360", + "right": "pull_request:8851", + "accept": false, + "reason": "TCD scheduler doc/typing cleanup vs. adding AuraFlow docs are unrelated." + }, + { + "left": "pull_request:7451", + "right": "pull_request:9077", + "accept": false, + "reason": "Both touch documentation typos, but they are broad cleanup PRs with no shared concrete issue or change set." + }, + { + "left": "pull_request:7542", + "right": "pull_request:8230", + "accept": false, + "reason": "CPU offload test typo vs. broader offloading usage/docs update; not the same underlying bug." + }, + { + "left": "pull_request:7542", + "right": "pull_request:8642", + "accept": false, + "reason": "A test typo fix in CPU offload code is unrelated to SD3 docstring cleanup." + }, + { + "left": "pull_request:7544", + "right": "pull_request:7868", + "accept": false, + "reason": "Same test file, but they fix different assertions for different offload behaviors; not a single duplicate change." + }, + { + "left": "pull_request:7544", + "right": "pull_request:8230", + "accept": false, + "reason": "Different scope: one is a test assertion fix, the other is a broader CPU offloading usage/documentation update." + }, + { + "left": "pull_request:7709", + "right": "pull_request:7719", + "accept": false, + "reason": "Both touch the same workflow, but 7719 is a follow-up auth-key tweak, not the same concrete change as adding Tailscale support." + }, + { + "left": "pull_request:7786", + "right": "pull_request:7919", + "accept": false, + "reason": "Stable Video Diffusion prompt/video count bug vs. device_map offload behavior are unrelated." + }, + { + "left": "pull_request:7934", + "right": "pull_request:8691", + "accept": false, + "reason": "Single-file config dict loading vs. LoRA loading for vanilla fine-tuned models are different code paths." + }, + { + "left": "pull_request:7977", + "right": "pull_request:9100", + "accept": false, + "reason": "Different typo fixes in different files; no shared underlying bug/change." + }, + { + "left": "pull_request:8426", + "right": "pull_request:9765", + "accept": false, + "reason": "CI mirror workflow fix vs. SD3 pipeline docstring typo are unrelated." + }, + { + "left": "pull_request:8470", + "right": "pull_request:8490", + "accept": false, + "reason": "Different README updates for different projects; not duplicates." + }, + { + "left": "pull_request:8470", + "right": "pull_request:8860", + "accept": false, + "reason": "Unrelated README updates with different content and target docs." + }, + { + "left": "pull_request:8483", + "right": "pull_request:8675", + "accept": false, + "reason": "Adding Stable Diffusion 3 vs. a fast-diffusion doc note are unrelated changes." + }, + { + "left": "pull_request:8483", + "right": "pull_request:9066", + "accept": false, + "reason": "SD3 feature integration vs. Stable Cascade docs are separate additions." + }, + { + "left": "pull_request:8498", + "right": "pull_request:9100", + "accept": false, + "reason": "Different typo fixes in different files and code paths." + }, + { + "left": "pull_request:8583", + "right": "pull_request:8984", + "accept": false, + "reason": "SD3 xFormers support vs. SD3 ONNX conversion/pipeline are different concrete features." + }, + { + "left": "pull_request:8583", + "right": "pull_request:9249", + "accept": false, + "reason": "xFormers support in SD3 and ControlNet SD3 example training are unrelated." + }, + { + "left": "pull_request:8583", + "right": "pull_request:9860", + "accept": false, + "reason": "SD3 attention backend support vs. ControlNet SD3/3.5 example support are different changes." + }, + { + "left": "pull_request:8600", + "right": "pull_request:9286", + "accept": false, + "reason": "DreamBooth SD3 training script update vs. package export cleanup are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is conservative and grounded in the packet. The only accepted soft edge, 6424 \u2194 6789, is supported by the shared PixArt converter/inference fix and looks mergeable as a single bugfix PR. The other pairwise rejections are appropriately cautious, and the cluster-level note that the set is heterogeneous is consistent with the evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 79, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10494", + "pull_request:11059", + "pull_request:11124", + "pull_request:11522", + "pull_request:11595", + "pull_request:11835", + "pull_request:11843", + "pull_request:12040", + "pull_request:12170", + "pull_request:1513", + "pull_request:1838", + "pull_request:2183", + "pull_request:2339", + "pull_request:3968", + "pull_request:4098", + "pull_request:4099", + "pull_request:4659", + "pull_request:4661", + "pull_request:5058", + "pull_request:5117", + "pull_request:5202", + "pull_request:5407", + "pull_request:5470", + "pull_request:5697", + "pull_request:5807", + "pull_request:6236", + "pull_request:6573", + "pull_request:7186", + "pull_request:8642", + "pull_request:8845", + "pull_request:8937", + "pull_request:8965", + "pull_request:8984", + "pull_request:9244", + "pull_request:9426", + "pull_request:9571", + "pull_request:9620", + "pull_request:9658", + "pull_request:9687", + "pull_request:9706", + "pull_request:9709", + "pull_request:9754", + "pull_request:9765", + "pull_request:9827", + "pull_request:9832", + "pull_request:9860", + "pull_request:9994" + ], + "soft_pairs": [ + "pull_request:8642|pull_request:8845", + "pull_request:8845|pull_request:9765", + "pull_request:8965|pull_request:9994", + "pull_request:8984|pull_request:9860", + "pull_request:8984|pull_request:9994", + "pull_request:9571|pull_request:9658", + "pull_request:9620|pull_request:9860", + "pull_request:9754|pull_request:9832", + "pull_request:12040|pull_request:12170", + "pull_request:5470|pull_request:6236", + "pull_request:11522|pull_request:11835", + "pull_request:1838|pull_request:2183", + "pull_request:3968|pull_request:4098", + "pull_request:9426|pull_request:9709", + "pull_request:5058|pull_request:5202", + "pull_request:1513|pull_request:2339", + "pull_request:4099|pull_request:4659", + "pull_request:4099|pull_request:4661", + "pull_request:5117|pull_request:5407", + "pull_request:5697|pull_request:5807", + "pull_request:8937|pull_request:9706", + "pull_request:9244|pull_request:9687", + "pull_request:6573|pull_request:7186", + "pull_request:10494|pull_request:9827", + "pull_request:11059|pull_request:11843", + "pull_request:11124|pull_request:11595" + ], + "prepared_review_unit_hash": "9bcebd7458211b00eca3c26aed800dccd5a251311e42bbd943edfa9a64aaac3e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 104331, + "estimated_input_tokens": 26083, + "estimated_eval_tokens": 52422 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is noisy and heterogeneous: it mixes unrelated PRs across docs, CI, LoRA, ControlNet, SDXL/SD3, Flux, and test-only fixes. None of the soft-edge pairs look like the same underlying change, so I would not merge any of them for duplicate triage.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR safely subsumes the cluster; the items span unrelated fixes and features, so there is no safe canonical PR.", + "best_issue_reason": null, + "best_pr_reason": "No PR is a strong global representative here; the cluster is too heterogeneous to pick a reliable best PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8642", + "right": "pull_request:8845", + "accept": false, + "reason": "Both are typo fixes, but in unrelated areas (SD3 docs vs PAG tests) and not the same change." + }, + { + "left": "pull_request:8845", + "right": "pull_request:9765", + "accept": false, + "reason": "Different typo fixes in different files and subsystems; no shared underlying bug." + }, + { + "left": "pull_request:8965", + "right": "pull_request:9994", + "accept": false, + "reason": "A small pipeline-utils rename is unrelated to a new Omnigen model/pipeline implementation." + }, + { + "left": "pull_request:8984", + "right": "pull_request:9860", + "accept": false, + "reason": "SD3 ONNX support and SD3.5 ControlNet example updates are different features." + }, + { + "left": "pull_request:8984", + "right": "pull_request:9994", + "accept": false, + "reason": "ONNX export work for SD3 is unrelated to adding Omnigen support." + }, + { + "left": "pull_request:9571", + "right": "pull_request:9658", + "accept": false, + "reason": "ControlNet guidance API changes are not the same as a new distilled example app." + }, + { + "left": "pull_request:9620", + "right": "pull_request:9860", + "accept": false, + "reason": "Interrupt support in ControlNet is unrelated to SD3.5 ControlNet example support." + }, + { + "left": "pull_request:9754", + "right": "pull_request:9832", + "accept": false, + "reason": "A training-script example and quantization CI/tests are separate changes, not one fix." + }, + { + "left": "pull_request:12040", + "right": "pull_request:12170", + "accept": false, + "reason": "Both touch LoRA conversion code, but they target different model families and distinct conversion paths." + }, + { + "left": "pull_request:5470", + "right": "pull_request:6236", + "accept": false, + "reason": "Pipeline fixes and a docs example correction are not the same underlying bug." + }, + { + "left": "pull_request:11522", + "right": "pull_request:11835", + "accept": false, + "reason": "Audioldm2 transformers compatibility and float16 test cleanup are unrelated." + }, + { + "left": "pull_request:1838", + "right": "pull_request:2183", + "accept": false, + "reason": "Textual inversion image logging and a tokenizer wiring fix are different bugs." + }, + { + "left": "pull_request:3968", + "right": "pull_request:4098", + "accept": false, + "reason": "A broad SDXL improvement PR and SDXL inpainting are different changes." + }, + { + "left": "pull_request:9426", + "right": "pull_request:9709", + "accept": false, + "reason": "CI artifact uploader updates and torch version pinning solve different problems." + }, + { + "left": "pull_request:5058", + "right": "pull_request:5202", + "accept": false, + "reason": "PEFT text-encoder integration and Kohya checkpoint support are distinct LoRA/PEFT changes." + }, + { + "left": "pull_request:1513", + "right": "pull_request:2339", + "accept": false, + "reason": "Dreambooth README helper docs and checkpointing docs/tests are not the same fix." + }, + { + "left": "pull_request:4099", + "right": "pull_request:4659", + "accept": false, + "reason": "The SDXL prompt-embed bugfix and the long-weighted-prompt pipeline work address different code paths." + }, + { + "left": "pull_request:4099", + "right": "pull_request:4661", + "accept": false, + "reason": "Same reasoning: prompt-embed bugfix vs a separate community pipeline feature." + }, + { + "left": "pull_request:5117", + "right": "pull_request:5407", + "accept": false, + "reason": "Training-resume logging and mixed-precision training fixes are unrelated." + }, + { + "left": "pull_request:5697", + "right": "pull_request:5807", + "accept": false, + "reason": "A PEFT/xformers LoRA bugfix and num_images_per_prompt support are different concrete issues." + }, + { + "left": "pull_request:8937", + "right": "pull_request:9706", + "accept": false, + "reason": "AuraFlow long-prompt handling and a docs refactor are not the same change." + }, + { + "left": "pull_request:9244", + "right": "pull_request:9687", + "accept": false, + "reason": "Flux single-file support and Xlabs ControlNet support are separate features." + }, + { + "left": "pull_request:6573", + "right": "pull_request:7186", + "accept": false, + "reason": "Both are IP-Adapter related, but one adds multi-adapter support while the other moves Face ID to core; not the same change." + }, + { + "left": "pull_request:10494", + "right": "pull_request:9827", + "accept": false, + "reason": "Different LoRA-related fixes in different contexts; no concrete shared bug." + }, + { + "left": "pull_request:11059", + "right": "pull_request:11843", + "accept": false, + "reason": "Wan LoRA conversion support and Wan VACE exclude_modules tests are separate PRs." + }, + { + "left": "pull_request:11124", + "right": "pull_request:11595", + "accept": false, + "reason": "CogView4 test fix and Flux LoRA load_lora_weights fix do not share the same underlying defect." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 80, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10096", + "pull_request:10544", + "pull_request:11039", + "pull_request:11067", + "pull_request:11238", + "pull_request:11739", + "pull_request:11743", + "pull_request:11765", + "pull_request:11814", + "pull_request:11985", + "pull_request:12269", + "pull_request:12445", + "pull_request:12714", + "pull_request:13126", + "pull_request:13169", + "pull_request:13209", + "pull_request:1788", + "pull_request:2216", + "pull_request:2223", + "pull_request:2928", + "pull_request:2994", + "pull_request:3641", + "pull_request:3691", + "pull_request:3798", + "pull_request:4034", + "pull_request:4223", + "pull_request:4272", + "pull_request:4352", + "pull_request:4373", + "pull_request:4714", + "pull_request:4833", + "pull_request:4886", + "pull_request:5188", + "pull_request:5201", + "pull_request:5298", + "pull_request:6564", + "pull_request:7018", + "pull_request:7096", + "pull_request:7103", + "pull_request:7153", + "pull_request:7161", + "pull_request:7476", + "pull_request:819", + "pull_request:9638", + "pull_request:9662", + "pull_request:9735", + "pull_request:9770" + ], + "soft_pairs": [ + "pull_request:11739|pull_request:11765", + "pull_request:11743|pull_request:11985", + "pull_request:12714|pull_request:13209", + "pull_request:2216|pull_request:2223", + "pull_request:2928|pull_request:4223", + "pull_request:2994|pull_request:3798", + "pull_request:3641|pull_request:4714", + "pull_request:3691|pull_request:4034", + "pull_request:4272|pull_request:4714", + "pull_request:4352|pull_request:4373", + "pull_request:4833|pull_request:5298", + "pull_request:4886|pull_request:7103", + "pull_request:5188|pull_request:7096", + "pull_request:5201|pull_request:7018", + "pull_request:6564|pull_request:7153", + "pull_request:9638|pull_request:9770", + "pull_request:7161|pull_request:7476", + "pull_request:12269|pull_request:12445", + "pull_request:13126|pull_request:13169", + "pull_request:10096|pull_request:11039", + "pull_request:10544|pull_request:11814", + "pull_request:11067|pull_request:9662", + "pull_request:11238|pull_request:9735", + "pull_request:1788|pull_request:819" + ], + "prepared_review_unit_hash": "03eb3144ae9afd67dac145f05b6b598a35c032b256987077efe36aebe07e4e19", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 96077, + "estimated_input_tokens": 24020, + "estimated_eval_tokens": 48296 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab-bag of mostly unrelated PRs. The soft-linked pairs are mostly only thematically similar (same subsystem or same repo area), but they do not fix the same concrete bug/change and would not plausibly be merged as one PR. I reject all soft edges.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR stands out: the items span many unrelated features, fixes, docs, and CI changes with no shared underlying change or bug.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR is suitable because there is no single underlying issue/change unifying this cluster; it is heterogeneous rather than a true duplicate set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11739", + "right": "pull_request:11765", + "accept": false, + "reason": "Both concern LoRA metadata/alpha, but they target different training scripts and model families; not the same change." + }, + { + "left": "pull_request:11743", + "right": "pull_request:11985", + "accept": false, + "reason": "One adds a shortened Flux training script; the other adds Flux Kontext support. Different features, not one bug fix." + }, + { + "left": "pull_request:12714", + "right": "pull_request:13209", + "accept": false, + "reason": "Flux2 LoRA NaN test coverage and Z-Image LoRA conversion are unrelated model-specific changes." + }, + { + "left": "pull_request:2216", + "right": "pull_request:2223", + "accept": false, + "reason": "DifFace pipeline and semantic guidance pipeline are separate pipeline additions with no shared code-path bug." + }, + { + "left": "pull_request:2928", + "right": "pull_request:4223", + "accept": false, + "reason": "Custom local dataset support and ControlNet SDXL training fixes address different issues in different scripts." + }, + { + "left": "pull_request:2994", + "right": "pull_request:3798", + "accept": false, + "reason": "Type-casting bug fix is unrelated to a comment cleanup; not the same underlying change." + }, + { + "left": "pull_request:3641", + "right": "pull_request:4714", + "accept": false, + "reason": "Inpainting latent handling and missing-transformers error messaging are unrelated problems." + }, + { + "left": "pull_request:3691", + "right": "pull_request:4034", + "accept": false, + "reason": "Both mention LoRA, but one changes the text-encoder LoRA processor choice while the other adds unload utility/documentation." + }, + { + "left": "pull_request:4272", + "right": "pull_request:4714", + "accept": false, + "reason": "Optional import fixes are unrelated to the transformers-missing error-message fix." + }, + { + "left": "pull_request:4352", + "right": "pull_request:4373", + "accept": false, + "reason": "Kandinsky combined-pipeline fixes and SDXL resize handling are different pipelines and different bugs." + }, + { + "left": "pull_request:4833", + "right": "pull_request:5298", + "accept": false, + "reason": "Unfuse LoRA state handling and LoRA conv torch.compile compatibility are distinct LoRA issues." + }, + { + "left": "pull_request:4886", + "right": "pull_request:7103", + "accept": false, + "reason": "Stable Diffusion Upscale safety-checker bug and ControlNet image validation bug are unrelated pipeline fixes." + }, + { + "left": "pull_request:5188", + "right": "pull_request:7096", + "accept": false, + "reason": "Adding compute_snr to training utils and ControlNet example enhancements are not the same change." + }, + { + "left": "pull_request:5201", + "right": "pull_request:7018", + "accept": false, + "reason": "xFormers/LoRA processor behavior and gradient-unscaling in advanced LoRA training are different bugs." + }, + { + "left": "pull_request:6564", + "right": "pull_request:7153", + "accept": false, + "reason": "IP Adapter path generation and documentation workflow path filtering are unrelated." + }, + { + "left": "pull_request:9638", + "right": "pull_request:9770", + "accept": false, + "reason": "Both add Xlabs ControlNet support, but they cover different code paths (model/pipeline support vs inpainting pipeline integration) and are not one concrete fix." + }, + { + "left": "pull_request:7161", + "right": "pull_request:7476", + "accept": false, + "reason": "Both involve torch.compile, but one is a PEFT inference example and the other is multi-ControlNet SDXL inpaint behavior." + }, + { + "left": "pull_request:12269", + "right": "pull_request:12445", + "accept": false, + "reason": "Flux Kontext support in modular pipelines and a broader Flux modular alignment refactor are separate changes." + }, + { + "left": "pull_request:13126", + "right": "pull_request:13169", + "accept": false, + "reason": "Z-Image Base distilled LoRA conversion and Flux Klein PEFT LoRA format support are different model/format conversions." + }, + { + "left": "pull_request:10096", + "right": "pull_request:11039", + "accept": false, + "reason": "A stale-labeling CI tweak and a torch_dtype/quantization loading fix are unrelated." + }, + { + "left": "pull_request:10544", + "right": "pull_request:11814", + "accept": false, + "reason": "ParaAttention docs and a Flux gradient-checkpointing attention-kwargs fix are different kinds of changes." + }, + { + "left": "pull_request:11067", + "right": "pull_request:9662", + "accept": false, + "reason": "Benchmark dependency pinning and a test-only transformers version bump are not the same bug or change." + }, + { + "left": "pull_request:11238", + "right": "pull_request:9735", + "accept": false, + "reason": "SD3 ControlNet validation runtime fix and an SD3 ControlNet example update are separate PRs." + }, + { + "left": "pull_request:1788", + "right": "pull_request:819", + "accept": false, + "reason": "Both touch DDIM, but one fixes sample prediction logic while the other fixes timestep dtype on Windows; unrelated bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 81, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10058", + "pull_request:10318", + "pull_request:10750", + "pull_request:10911", + "pull_request:10985", + "pull_request:11179", + "pull_request:11532", + "pull_request:11715", + "pull_request:11786", + "pull_request:11896", + "pull_request:12086", + "pull_request:12277", + "pull_request:12288", + "pull_request:12439", + "pull_request:12714", + "pull_request:12812", + "pull_request:12919", + "pull_request:13055", + "pull_request:13058", + "pull_request:2393", + "pull_request:2721", + "pull_request:2836", + "pull_request:2919", + "pull_request:3859", + "pull_request:4083", + "pull_request:4276", + "pull_request:4498", + "pull_request:4744", + "pull_request:4783", + "pull_request:5015", + "pull_request:5127", + "pull_request:5186", + "pull_request:5396", + "pull_request:5713", + "pull_request:5744", + "pull_request:5887", + "pull_request:5915", + "pull_request:6355", + "pull_request:6573", + "pull_request:6759", + "pull_request:6828", + "pull_request:6946", + "pull_request:7615", + "pull_request:7825", + "pull_request:7932", + "pull_request:8480", + "pull_request:8566", + "pull_request:9770" + ], + "soft_pairs": [ + "pull_request:2836|pull_request:5015", + "pull_request:2919|pull_request:4276", + "pull_request:4498|pull_request:4783", + "pull_request:4498|pull_request:5186", + "pull_request:7825|pull_request:7932", + "pull_request:5713|pull_request:6573", + "pull_request:12086|pull_request:12439", + "pull_request:11532|pull_request:11896", + "pull_request:10750|pull_request:9770", + "pull_request:6355|pull_request:7615", + "pull_request:2393|pull_request:2721", + "pull_request:3859|pull_request:4083", + "pull_request:5127|pull_request:5915", + "pull_request:10058|pull_request:11179", + "pull_request:5396|pull_request:6759", + "pull_request:8480|pull_request:8566", + "pull_request:12812|pull_request:12919", + "pull_request:12277|pull_request:13055", + "pull_request:4744|pull_request:5744", + "pull_request:6828|pull_request:6946", + "pull_request:12288|pull_request:13058", + "pull_request:5887|pull_request:6828", + "pull_request:10318|pull_request:10985", + "pull_request:10911|pull_request:11715", + "pull_request:11786|pull_request:12714" + ], + "prepared_review_unit_hash": "f47173f3ea2aaf2fa25b9e15b475127880fa63161a2dffa1457f668d5b6a5f67", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 107929, + "estimated_input_tokens": 26983, + "estimated_eval_tokens": 54222 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is heterogeneous: most PRs are unrelated docs, tests, or feature additions, and the soft pairs share only broad subsystem similarity. I would reject all soft edges and not designate a single canonical PR for duplicate triage.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:2836", + "right": "pull_request:5015", + "accept": false, + "reason": "Both are doc link fixes, but they target different guides and different broken links; not the same change." + }, + { + "left": "pull_request:2919", + "right": "pull_request:4276", + "accept": false, + "reason": "One speeds up a 3D UNet test, the other adds a pipeline import regression test; unrelated test intents." + }, + { + "left": "pull_request:4498", + "right": "pull_request:4783", + "accept": false, + "reason": "SDXL reference example docs vs SDXL prompt-embedding zeroing docs; different topics and codepaths." + }, + { + "left": "pull_request:4498", + "right": "pull_request:5186", + "accept": false, + "reason": "One adds a community reference pipeline, the other is a FreeU proof-of-concept in core models; not the same change." + }, + { + "left": "pull_request:7825", + "right": "pull_request:7932", + "accept": false, + "reason": "Both touch tests, but for different models and different failures; not one underlying bug." + }, + { + "left": "pull_request:5713", + "right": "pull_request:6573", + "accept": false, + "reason": "Same broad IP-Adapter area, but one introduces the feature and the other adds multi-adapter support; distinct changes." + }, + { + "left": "pull_request:12086", + "right": "pull_request:12439", + "accept": false, + "reason": "Flux modular I2I work versus attention-backend kernel support; completely different code paths." + }, + { + "left": "pull_request:11532", + "right": "pull_request:11896", + "accept": false, + "reason": "HiDream LoRA conversion support vs disabling hooks when loading LoRAs; different problems." + }, + { + "left": "pull_request:10750", + "right": "pull_request:9770", + "accept": false, + "reason": "Both are Flux controlnet-related, but one adds img2img support and the other adds Xlabs inpainting support; 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different pipelines and bugs." + }, + { + "left": "pull_request:3987", + "right": "pull_request:5144", + "accept": false, + "reason": "Audio diffusion code-snippet fix vs BLIP Diffusion sample-code parenthesis fix; both docs-only and unrelated." + }, + { + "left": "pull_request:4211", + "right": "pull_request:5367", + "accept": false, + "reason": "Different SDXL docstring/tutorial corrections touching different pipeline docs and code paths." + }, + { + "left": "pull_request:4762", + "right": "pull_request:6795", + "accept": false, + "reason": "SDXL VAE/example documentation update vs DreamBooth LoRA micro-conditioning support; unrelated scopes." + }, + { + "left": "pull_request:4862", + "right": "pull_request:6578", + "accept": false, + "reason": "ControlNet SDXL MultiControlNet bugfix vs ControlNet docs indentation fix; code bug and docs formatting are not the same change." + }, + { + "left": "pull_request:4934", + "right": "pull_request:6035", + "accept": false, + "reason": "T2I-Adapter training script/docs addition vs DreamBooth LoRA help-text improvement; 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both testing utilities but unrelated failures." + }, + { + "left": "pull_request:5982", + "right": "pull_request:7916", + "accept": false, + "reason": "SDXL Turbo docs vs SDXL NPU training support; different features and targets." + }, + { + "left": "pull_request:6140", + "right": "pull_request:7857", + "accept": false, + "reason": "Both add docs pages/toctree entries, but for different APIs and different underlying features; not duplicates." + }, + { + "left": "pull_request:6216", + "right": "pull_request:6875", + "accept": false, + "reason": "Different LoRA test issues: PEFT 0.7.0 key remapping vs updated IP-Adapter expected outputs." + }, + { + "left": "pull_request:6291", + "right": "pull_request:7335", + "accept": false, + "reason": "LoRA unfusion test assertion change vs ControlNet SDXL config test; unrelated test fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 86, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10589", + "pull_request:10630", + "pull_request:10728", + "pull_request:10970", + "pull_request:11273", + "pull_request:11572", + "pull_request:11715", + "pull_request:12021", + "pull_request:12142", + "pull_request:12143", + "pull_request:12687", + "pull_request:2919", + "pull_request:3214", + "pull_request:3586", + "pull_request:3847", + "pull_request:4099", + "pull_request:4242", + "pull_request:4417", + "pull_request:4629", + "pull_request:4886", + "pull_request:6147", + "pull_request:6342", + "pull_request:6573", + "pull_request:6724", + "pull_request:6808", + "pull_request:6828", + "pull_request:7050", + "pull_request:7124", + "pull_request:7291", + "pull_request:7411", + "pull_request:7487", + "pull_request:7542", + "pull_request:7747", + "pull_request:7827", + "pull_request:7868", + "pull_request:8272", + "pull_request:8490", + "pull_request:8571", + "pull_request:8583", + "pull_request:8630", + "pull_request:8715", + "pull_request:8775", + "pull_request:8860", + "pull_request:9008", + "pull_request:9100", + "pull_request:9257", + "pull_request:9807" + ], + "soft_pairs": [ + "pull_request:6342|pull_request:6724", + "pull_request:6808|pull_request:7542", + "pull_request:7050|pull_request:8571", + "pull_request:7124|pull_request:8715", + "pull_request:7291|pull_request:7411", + "pull_request:7487|pull_request:8715", + "pull_request:7542|pull_request:9100", + "pull_request:7747|pull_request:7868", + "pull_request:7827|pull_request:7868", + "pull_request:8272|pull_request:9008", + "pull_request:8490|pull_request:8775", + "pull_request:8583|pull_request:8630", + "pull_request:8775|pull_request:8860", + "pull_request:9008|pull_request:9100", + "pull_request:9257|pull_request:9807", + "pull_request:11572|pull_request:12021", + "pull_request:10589|pull_request:10728", + "pull_request:6573|pull_request:6828", + "pull_request:10630|pull_request:11715", + "pull_request:10970|pull_request:11273", + "pull_request:12142|pull_request:12687", + "pull_request:12143|pull_request:12687", + "pull_request:2919|pull_request:3847", + "pull_request:3214|pull_request:4886", + "pull_request:3586|pull_request:4417", + "pull_request:4099|pull_request:4629", + "pull_request:4242|pull_request:6147" + ], + "prepared_review_unit_hash": "9133728ef1099a1d9fbdd0ae299cc80573331d1d3627b893a85fa1406a93315f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 27, + "serialized_chars": 96457, + "estimated_input_tokens": 24115, + "estimated_eval_tokens": 48486 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a collection of superficially similar but unrelated PRs (docs typos, test tweaks, and distinct feature/bug fixes). I would reject every soft edge as a duplicate/near-duplicate match.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR is appropriate here: the items span unrelated docs, tests, and feature fixes, so any representative choice would be arbitrary.", + "best_issue_reason": null, + "best_pr_reason": "No PR stands out as a global representative for the cluster because the overlap is only topical/superficial, not the same underlying change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6342", + "right": "pull_request:6724", + "accept": false, + "reason": "Both are docs updates, but one is installation guidance and the other is LoRA rank wording; unrelated changes." + }, + { + "left": "pull_request:6808", + "right": "pull_request:7542", + "accept": false, + "reason": "Both touch tests, but one fixes MPS test collection and the other renames a CPU offload test call; different problems." + }, + { + "left": "pull_request:7050", + "right": "pull_request:8571", + "accept": false, + "reason": "General typo/style cleanup is too broad; these target different docs and different edits." + }, + { + "left": "pull_request:7124", + "right": "pull_request:8715", + "accept": false, + "reason": "Same SDXL DreamBooth area, but one fixes a kwargs call site while the other adds clip_skip support; not the same bug/change." + }, + { + "left": "pull_request:7291", + "right": "pull_request:7411", + "accept": false, + "reason": "Both are typo/errata PRs, but they patch different documents and scheduler text, not one shared issue." + }, + { + "left": "pull_request:7487", + "right": "pull_request:8715", + "accept": false, + "reason": "Both involve SDXL DreamBooth, but one adds full-weight tuning and the other adds clip_skip; different feature work." + }, + { + "left": "pull_request:7542", + "right": "pull_request:9100", + "accept": false, + "reason": "A CPU offload test fix and a text-to-image LoRA typo fix are unrelated." + }, + { + "left": "pull_request:7747", + "right": "pull_request:7868", + "accept": false, + "reason": "Both are test fixes, but one is VAE tiling assertions and the other is offload-device assertions; different code paths." + }, + { + "left": "pull_request:7827", + "right": "pull_request:7868", + "accept": false, + "reason": "Docstring/offload example cleanup is not the same as changing the offload test expectation." + }, + { + "left": "pull_request:8272", + "right": "pull_request:9008", + "accept": false, + "reason": "Both are errata-style edits, but one fixes raise-message grammar across schedulers while the other is broad whitespace/typo cleanup." + }, + { + "left": "pull_request:8490", + "right": "pull_request:8775", + "accept": false, + "reason": "Different README changes: one updates SD3 training text, the other only adds a Colab link." + }, + { + "left": "pull_request:8583", + "right": "pull_request:8630", + "accept": false, + "reason": "One adds XFormers support in SD3 attention processors; the other adds CLIP text-encoder LoRA training. Different functionality." + }, + { + "left": "pull_request:8775", + "right": "pull_request:8860", + "accept": false, + "reason": "A README Colab-link edit and an empty/README update are not the same change." + }, + { + "left": "pull_request:9008", + "right": "pull_request:9100", + "accept": false, + "reason": "Broad typo/whitespace cleanup is not the same as a single typo fix in a training script." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9807", + "accept": false, + "reason": "Different fixes in different subsystems: Flux DreamBooth script logic vs adding AutoencoderKL LoRA adapter support." + }, + { + "left": "pull_request:11572", + "right": "pull_request:12021", + "accept": false, + "reason": "Both mention LTX, but one adds non-diffusers LTX LoRA conversion and the other adds attention backend support; unrelated changes." + }, + { + "left": "pull_request:10589", + "right": "pull_request:10728", + "accept": false, + "reason": "Both mention IP-Adapter, but one adds SD3 Img2Img support and the other adjusts quantized Flux loading; different code paths." + }, + { + "left": "pull_request:6573", + "right": "pull_request:6828", + "accept": false, + "reason": "Both are IP-Adapter related, but one supports multiple adapters while the other changes UNetMotionModel integration; not the same fix." + }, + { + "left": "pull_request:10630", + "right": "pull_request:11715", + "accept": false, + "reason": "One updates a failing flax scheduler test slice; the other adds bitsandbytes version guards to quantization compile tests." + }, + { + "left": "pull_request:10970", + "right": "pull_request:11273", + "accept": false, + "reason": "Both are workflow/automation changes, but they fix different bots and different scripts." + }, + { + "left": "pull_request:12142", + "right": "pull_request:12687", + "accept": false, + "reason": "A Wan VACE bf16/fp16 mask-cast fix is unrelated to an autoencoder naming typo." + }, + { + "left": "pull_request:12143", + "right": "pull_request:12687", + "accept": false, + "reason": "Same as above: Wan VACE precision fix vs autoencoder typo correction are unrelated." + }, + { + "left": "pull_request:2919", + "right": "pull_request:3847", + "accept": false, + "reason": "Both touch test infrastructure, but one speeds up a model test and the other adds dependency checks; different intents." + }, + { + "left": "pull_request:3214", + "right": "pull_request:4886", + "accept": false, + "reason": "These fix unrelated bugs in different components: attention reshape logic vs safety checker preprocessing." + }, + { + "left": "pull_request:3586", + "right": "pull_request:4417", + "accept": false, + "reason": "Community pipeline support and Zero123 support are different feature additions with no shared underlying change." + }, + { + "left": "pull_request:4099", + "right": "pull_request:4629", + "accept": false, + "reason": "Both touch SDXL-related pipelines, but one fixes prompt embedding duplication and the other adds a long weighted prompt pipeline; not the same bug." + }, + { + "left": "pull_request:4242", + "right": "pull_request:6147", + "accept": false, + "reason": "Both concern single-file loading, but one allows VAE loading generally while the other fixes SDXL inpainting/refiner argument wiring." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 87, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10318", + "pull_request:10431", + "pull_request:10517", + "pull_request:10547", + "pull_request:10810", + "pull_request:11524", + "pull_request:12420", + "pull_request:12782", + "pull_request:13039", + "pull_request:13330", + "pull_request:1977", + "pull_request:2464", + "pull_request:2655", + "pull_request:406", + "pull_request:453", + "pull_request:4666", + "pull_request:4787", + "pull_request:4847", + "pull_request:5015", + "pull_request:5499", + "pull_request:5559", + "pull_request:5698", + "pull_request:5738", + "pull_request:5887", + "pull_request:5928", + "pull_request:6208", + "pull_request:6217", + "pull_request:6489", + "pull_request:6523", + "pull_request:6673", + "pull_request:6721", + "pull_request:6752", + "pull_request:6757", + "pull_request:689", + "pull_request:6904", + "pull_request:7016", + "pull_request:7186", + "pull_request:7246", + "pull_request:7507", + "pull_request:7820", + "pull_request:823", + "pull_request:8564", + "pull_request:8696", + "pull_request:8749", + "pull_request:9021", + "pull_request:9244", + "pull_request:9682", + "pull_request:9696" + ], + "soft_pairs": [ + "pull_request:4666|pull_request:5738", + "pull_request:6208|pull_request:6904", + "pull_request:6217|pull_request:7246", + "pull_request:6721|pull_request:6757", + "pull_request:689|pull_request:823", + "pull_request:5887|pull_request:7820", + "pull_request:5887|pull_request:7186", + "pull_request:5559|pull_request:6673", + "pull_request:5887|pull_request:7016", + "pull_request:10431|pull_request:10517", + "pull_request:10547|pull_request:9696", + "pull_request:11524|pull_request:12420", + "pull_request:1977|pull_request:2464", + "pull_request:2655|pull_request:4787", + "pull_request:406|pull_request:453", + "pull_request:5015|pull_request:5499", + "pull_request:5559|pull_request:7507", + "pull_request:5698|pull_request:6523", + "pull_request:5928|pull_request:6489", + "pull_request:8749|pull_request:9021", + "pull_request:4847|pull_request:5559", + "pull_request:6489|pull_request:6752", + "pull_request:8564|pull_request:9682", + "pull_request:10318|pull_request:8696", + "pull_request:10810|pull_request:9244", + "pull_request:12782|pull_request:13330", + "pull_request:13039|pull_request:13330" + ], + "prepared_review_unit_hash": "63394693f3674c15c5ea2d1cc1940376f5a6cb682b16f8f1ef589fb439eacff9", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 96639, + "estimated_input_tokens": 24160, + "estimated_eval_tokens": 48576 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the soft pairs mostly connect superficially similar PRs (same subsystem, same file, or both tests/docs) but they fix different bugs or add different features. I would reject all soft edges and avoid picking a single canonical artifact.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "If a representative PR is required, 10810 is the strongest candidate because it is a substantive core code change in LoRA conversion rather than a test/doc-only tweak; however, the set is too mixed to treat it as a true duplicate cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4666", + "right": "pull_request:5738", + "accept": false, + "reason": "Both are LoRA-related, but one adds SDXL ControlNet LoRA support and the other adds adapter deletion; different code paths and goals." + }, + { + "left": "pull_request:6208", + "right": "pull_request:6904", + "accept": false, + "reason": "One fixes VAE dtype mismatch in Stable Diffusion; the other makes load_image accept PIL images. Unrelated bugs." + }, + { + "left": "pull_request:6217", + "right": "pull_request:7246", + "accept": false, + "reason": "Both are test/device adjustments, but for different pipelines and failure modes; not the same underlying fix." + }, + { + "left": "pull_request:6721", + "right": "pull_request:6757", + "accept": false, + "reason": "AnimateDiff SDXL support vs moving k-diffusion sigmas to device; different issues and code paths." + }, + { + "left": "pull_request:689", + "right": "pull_request:823", + "accept": false, + "reason": "Both mention test failures, but one rewrites attention math and the other fixes prompt type handling across pipelines." + }, + { + "left": "pull_request:5887", + "right": "pull_request:7820", + "accept": false, + "reason": "Both touch IP-Adapter support, but one adds it to ControlNet Inpaint while the other fixes InstructPix2Pix handling. Different concrete changes." + }, + { + "left": "pull_request:5887", + "right": "pull_request:7186", + "accept": false, + "reason": "Face ID core refactor is unrelated to ControlNet Inpaint IP-Adapter support." + }, + { + "left": "pull_request:5559", + "right": "pull_request:6673", + "accept": false, + "reason": "One adds LCM Img2Img; the other adds InstantID SDXL Img2Img. Same broad area, different pipelines and features." + }, + { + "left": "pull_request:5887", + "right": "pull_request:7016", + "accept": false, + "reason": "7016 is a broad IP-Adapter refactor across many pipelines; 5887 is a specific ControlNet Inpaint integration. Not the same change." + }, + { + "left": "pull_request:10431", + "right": "pull_request:10517", + "accept": false, + "reason": "Both are Sana-related, but one fixes a 1k positional-embedding issue and the other a 4K pag pipeline bug. Different bugs." + }, + { + "left": "pull_request:10547", + "right": "pull_request:9696", + "accept": false, + "reason": "One adjusts model offload test split percentages; the other fixes a test workflow script. No shared underlying bug." + }, + { + "left": "pull_request:11524", + "right": "pull_request:12420", + "accept": false, + "reason": "Both conditionally import optional modules, but one is for torchvision in Cosmos and the other for torch.distributed collectives. Different dependencies and failure modes." + }, + { + "left": "pull_request:1977", + "right": "pull_request:2464", + "accept": false, + "reason": "These are unrelated example/script and training changes; no common bug or feature." + }, + { + "left": "pull_request:2655", + "right": "pull_request:4787", + "accept": false, + "reason": "Both modify LoRA loading, but 2655 fixes save/load behavior while 4787 tightens file-name filtering. Separate issues." + }, + { + "left": "pull_request:406", + "right": "pull_request:453", + "accept": false, + "reason": "Two unrelated documentation typo fixes in different files." + }, + { + "left": "pull_request:5015", + "right": "pull_request:5499", + "accept": false, + "reason": "Both are docs link fixes, but they patch different broken links across different pages; not the same change." + }, + { + "left": "pull_request:5559", + "right": "pull_request:7507", + "accept": false, + "reason": "Different community pipelines: LCM Img2Img vs InstantID SDXL Img2Img." + }, + { + "left": "pull_request:5698", + "right": "pull_request:6523", + "accept": false, + "reason": "LCM Img2Img pipeline fix vs LCM distillation script configuration fix; related theme, but different code paths." + }, + { + "left": "pull_request:5928", + "right": "pull_request:6489", + "accept": false, + "reason": "Both touch community/docs content, but one adds AnimateDiff+ControlNet while the other adds StyleAligned. Different features." + }, + { + "left": "pull_request:8749", + "right": "pull_request:9021", + "accept": false, + "reason": "Both are SD3 ControlNet from_transformer changes, but 8749 adds the method and 9021 changes num_layers handling later. Follow-up, not duplicate." + }, + { + "left": "pull_request:4847", + "right": "pull_request:5559", + "accept": false, + "reason": "Prompt Free Diffusion community example vs LCM Img2Img pipeline; unrelated projects." + }, + { + "left": "pull_request:6489", + "right": "pull_request:6752", + "accept": false, + "reason": "Both are community/research additions, but they add different pipelines with different purposes." + }, + { + "left": "pull_request:8564", + "right": "pull_request:9682", + "accept": false, + "reason": "Both are SD3 training-related, but one updates T5 token limit docs/scripts and the other adds dreambooth-lora bug fixes and a latent caching test." + }, + { + "left": "pull_request:10318", + "right": "pull_request:8696", + "accept": false, + "reason": "One adds Flux LoRA integration tests; the other marks Marigold depth tests flaky. Different test areas and failures." + }, + { + "left": "pull_request:10810", + "right": "pull_request:9244", + "accept": false, + "reason": "Flux LoRA conversion fixes vs adding single-file Flux pipeline support; distinct features in the same ecosystem." + }, + { + "left": "pull_request:12782", + "right": "pull_request:13330", + "accept": false, + "reason": "Offloading test split percentages vs torchao quantization test fixes/workflow changes. Different problems." + }, + { + "left": "pull_request:13039", + "right": "pull_request:13330", + "accept": false, + "reason": "CPU upcasting fix in WAN animate vs torchao quantization test fixes. Not the same bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 88, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10378", + "pull_request:10750", + "pull_request:10943", + "pull_request:11655", + "pull_request:12055", + "pull_request:12063", + "pull_request:12383", + "pull_request:13237", + "pull_request:1788", + "pull_request:2009", + "pull_request:2415", + "pull_request:2915", + "pull_request:3294", + "pull_request:3339", + "pull_request:343", + "pull_request:349", + "pull_request:4397", + "pull_request:4499", + "pull_request:4706", + "pull_request:473", + "pull_request:4749", + "pull_request:4761", + "pull_request:4855", + "pull_request:5506", + "pull_request:5668", + "pull_request:5697", + "pull_request:5823", + "pull_request:5880", + "pull_request:5915", + "pull_request:5943", + "pull_request:6231", + "pull_request:6752", + "pull_request:6757", + "pull_request:6952", + "pull_request:7153", + "pull_request:7156", + "pull_request:7627", + "pull_request:7692", + "pull_request:7790", + "pull_request:7820", + "pull_request:8452", + "pull_request:8902", + "pull_request:8913", + "pull_request:8932", + "pull_request:9060", + "pull_request:9244", + "pull_request:9257", + "pull_request:9662" + ], + "soft_pairs": [ + "pull_request:1788|pull_request:473", + "pull_request:2415|pull_request:3339", + "pull_request:2915|pull_request:4761", + "pull_request:343|pull_request:349", + "pull_request:4397|pull_request:4749", + "pull_request:4499|pull_request:5943", + "pull_request:4855|pull_request:5697", + "pull_request:5506|pull_request:6231", + "pull_request:5697|pull_request:5823", + "pull_request:6952|pull_request:9060", + "pull_request:7153|pull_request:8913", + "pull_request:7156|pull_request:9257", + "pull_request:8452|pull_request:9244", + "pull_request:8932|pull_request:9662", + "pull_request:12383|pull_request:13237", + "pull_request:5915|pull_request:7820", + "pull_request:10378|pull_request:10943", + "pull_request:2009|pull_request:3294", + "pull_request:4706|pull_request:5697", + "pull_request:6757|pull_request:7790", + "pull_request:7627|pull_request:8902", + "pull_request:12055|pull_request:12063", + "pull_request:5668|pull_request:5880", + "pull_request:6752|pull_request:7692", + "pull_request:10750|pull_request:11655" + ], + "prepared_review_unit_hash": "dbf7482a7b2665e97b728106c8955a5356c60974a6382919a1992caec9b2c2e5", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 100025, + "estimated_input_tokens": 25007, + "estimated_eval_tokens": 50270 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is not a true duplicate cluster: the PRs span unrelated changes across schedulers, loaders, pipelines, docs, tests, and model additions. 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"pull_request:10941|pull_request:11595", + "pull_request:10978|pull_request:11600", + "pull_request:10978|pull_request:12228", + "pull_request:10990|pull_request:9598", + "pull_request:10990|pull_request:9705", + "pull_request:10998|pull_request:11778", + "pull_request:11027|pull_request:9765", + "pull_request:11029|pull_request:11257", + "pull_request:11029|pull_request:11701", + "pull_request:1103|pull_request:260", + "pull_request:1103|pull_request:43", + "pull_request:11037|pull_request:11558", + "pull_request:11037|pull_request:11954" + ], + "prepared_review_unit_hash": "724fc7c441a00b4ca95d247913900c5e7cc636fa1ef1524b6593ecd0e2199f60", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 32, + "serialized_chars": 90928, + "estimated_input_tokens": 22732, + 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I don\u2019t see any true duplicate PR pairs here, so all soft edges should be rejected.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a clear duplicate anchor for this cluster; the items span unrelated docs, CI, and code changes. If one must be chosen, the most substantive standalone bugfix is 10990, but it is not representative of the whole cluster.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:10990 is the strongest self-contained bugfix in the set: it has an explicit issue target, touches concrete LoRA/quantization code paths, and includes test coverage. It is the best representative artifact if a single PR must be picked.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10420", + "right": "pull_request:10524", + "accept": false, + "reason": "Different docs fixes for different pipelines/checkpoints; no shared bug or change." + }, + { + "left": "pull_request:10420", + "right": "pull_request:11271", + "accept": false, + "reason": "LTX checkpoint doc edit vs single-file checkpoint mapping/code; unrelated artifacts." + }, + { + "left": "pull_request:10494", + "right": "pull_request:11802", + "accept": false, + "reason": "CI tokenizers install tweak vs LoRA deprecation cleanup; different subsystems and problems." + }, + { + "left": "pull_request:10524", + "right": "pull_request:10858", + "accept": false, + "reason": "Different docs targets: Hunyuan checkpoint text vs I2VGen overview classification." + }, + { + "left": "pull_request:10531", + "right": "pull_request:8947", + "accept": false, + "reason": "Docs for negative prompts vs latent-upscale prompt-embed support; not the same change." + }, + { + "left": "pull_request:10531", + "right": "pull_request:9066", + "accept": false, + "reason": "Pipeline docstring cleanup vs new StableCascade UNet docs; unrelated documentation work." + }, + { + "left": "pull_request:10544", + "right": "pull_request:9473", + "accept": false, + "reason": "New optimization docs vs Dreambooth training LR bugfix; different features and code paths." + }, + { + "left": "pull_request:10585", + "right": "pull_request:10678", + "accept": false, + "reason": "Mochi VAE annotation cleanup vs AuraFlow input validation bugfix; unrelated fixes." + }, + { + "left": "pull_request:10585", + "right": "pull_request:10998", + "accept": false, + "reason": "Mochi VAE type annotation vs Wan VAE scaling logic; different models and issues." + }, + { + "left": "pull_request:10585", + "right": "pull_request:8965", + "accept": false, + "reason": "Pipeline type annotation/docs cleanup vs pipeline instantiation rename; not the same underlying change." + }, + { + "left": "pull_request:10632", + "right": "pull_request:11857", + "accept": false, + "reason": "ParaAttention image path fix vs Flux pipeline doc references; separate docs edits." + }, + { + "left": "pull_request:10648", + "right": "pull_request:11851", + "accept": false, + "reason": "DDPM scheduler docs addition vs scheduler dtype note; unrelated documentation updates." + }, + { + "left": "pull_request:10678", + "right": "pull_request:11778", + "accept": false, + "reason": "AuraFlow input-divisibility validation vs Wan VACE mask padding; different code paths and bugs." + }, + { + "left": "pull_request:10678", + "right": "pull_request:9765", + "accept": false, + "reason": "AuraFlow runtime validation fix vs SD3 docstring typo fix; no overlap." + }, + { + "left": "pull_request:10730", + "right": "pull_request:9473", + "accept": false, + "reason": "Hook-removal unwrap bug vs Dreambooth optimizer LR fix; separate implementation areas." + }, + { + "left": "pull_request:10802", + "right": "pull_request:11473", + "accept": false, + "reason": "Comment typo in example script vs torchao quantization docs typo; unrelated edits." + }, + { + "left": "pull_request:10819", + "right": "pull_request:11747", + "accept": false, + "reason": "LoRA docs index additions vs HiDream license header addition; different maintenance tasks." + }, + { + "left": "pull_request:1087", + "right": "pull_request:268", + "accept": false, + "reason": "Slow-test/config handling fix vs VAE generator support and expected-results updates; not the same change." + }, + { + "left": "pull_request:10885", + "right": "pull_request:11851", + "accept": false, + "reason": "CogVideoX scheduler docs addition vs schedulers.md note on dtype handling; different docs topics." + }, + { + "left": "pull_request:10941", + "right": "pull_request:11595", + "accept": false, + "reason": "Flux IP-adapter length check fix vs LoRA weight-loading logic; distinct bugs and files." + }, + { + "left": "pull_request:10978", + "right": "pull_request:11600", + "accept": false, + "reason": "LoRA conversion edge case fix vs CI failure-report filename change; unrelated." + }, + { + "left": "pull_request:10978", + "right": "pull_request:12228", + "accept": false, + "reason": "LoRA conversion bugfix vs tutorial typo cleanup; different scope and purpose." + }, + { + "left": "pull_request:10990", + "right": "pull_request:9598", + "accept": false, + "reason": "Flux quantized LoRA code fix vs Flux LoRA test-note update; one is functional, the other is test metadata." + }, + { + "left": "pull_request:10990", + "right": "pull_request:9705", + "accept": false, + "reason": "Flux quantized LoRA logic vs README wording update; not the same underlying bug." + }, + { + "left": "pull_request:10998", + "right": "pull_request:11778", + "accept": false, + "reason": "Wan VAE scaling move vs Wan VACE mask padding; separate Wan pipeline bugs." + }, + { + "left": "pull_request:11027", + "right": "pull_request:9765", + "accept": false, + "reason": "IP-Adapter feature-extractor placement fix vs SD3 docstring typo; unrelated." + }, + { + "left": "pull_request:11029", + "right": "pull_request:11257", + "accept": false, + "reason": "Style-bot workflow command change vs style-bot token secret swap; same file but different configuration changes." + }, + { + "left": "pull_request:11029", + "right": "pull_request:11701", + "accept": false, + "reason": "Style-bot workflow command change vs later token-secret swap; different fixes to the same workflow." + }, + { + "left": "pull_request:1103", + "right": "pull_request:260", + "accept": false, + "reason": "Different README typo fixes in different examples; not a duplicate change." + }, + { + "left": "pull_request:1103", + "right": "pull_request:43", + "accept": false, + "reason": "Textual inversion README URL fix vs early model-card-template addition; unrelated." + }, + { + "left": "pull_request:11037", + "right": "pull_request:11558", + "accept": false, + "reason": "Quantization CI dependency setup vs group-offloading/layerwise-casting tests; different concerns." + }, + { + "left": "pull_request:11037", + "right": "pull_request:11954", + "accept": false, + "reason": "Quantization test-environment changes vs Hunyuan Video test slices; unrelated test maintenance." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 91, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1104", + "pull_request:11053", + "pull_request:11099", + "pull_request:11187", + "pull_request:1123", + "pull_request:11259", + "pull_request:11262", + "pull_request:113", + "pull_request:1130", + "pull_request:1131", + "pull_request:11325", + "pull_request:11365", + "pull_request:11386", + "pull_request:11391", + "pull_request:11416", + "pull_request:11434", + "pull_request:11439", + "pull_request:11473", + "pull_request:11476", + "pull_request:11558", + "pull_request:1157", + "pull_request:11576", + "pull_request:1162", + "pull_request:11731", + "pull_request:11920", + "pull_request:11955", + "pull_request:11983", + "pull_request:12018", + "pull_request:12230", + "pull_request:12247", + "pull_request:12360", + "pull_request:12391", + "pull_request:12487", + "pull_request:12552", + "pull_request:1394", + "pull_request:1561", + "pull_request:1640", + "pull_request:1769", + "pull_request:2010", + "pull_request:2257", + "pull_request:2766", + "pull_request:531", + "pull_request:60", + "pull_request:688", + "pull_request:715", + "pull_request:874", + "pull_request:9760" + ], + "soft_pairs": [ + "pull_request:1104|pull_request:2766", + "pull_request:11053|pull_request:11187", + "pull_request:11099|pull_request:11259", + "pull_request:11187|pull_request:11920", + "pull_request:1123|pull_request:1640", + "pull_request:1123|pull_request:715", + "pull_request:11262|pull_request:11434", + "pull_request:113|pull_request:1769", + "pull_request:113|pull_request:2010", + "pull_request:113|pull_request:531", + "pull_request:113|pull_request:60", + "pull_request:1130|pull_request:2257", + "pull_request:1131|pull_request:1394", + "pull_request:11325|pull_request:12018", + "pull_request:11365|pull_request:12230", + "pull_request:11386|pull_request:11983", + "pull_request:11386|pull_request:9760", + "pull_request:11391|pull_request:11983", + "pull_request:11416|pull_request:12487", + "pull_request:11439|pull_request:12247", + "pull_request:11473|pull_request:12360", + "pull_request:11473|pull_request:12391", + "pull_request:11476|pull_request:12552", + "pull_request:11558|pull_request:11920", + "pull_request:11558|pull_request:11955", + "pull_request:1157|pull_request:688", + "pull_request:11576|pull_request:11731", + "pull_request:1162|pull_request:1561", + "pull_request:1162|pull_request:874" + ], + "prepared_review_unit_hash": "d35e7614e71e25fb6115f477ec1700e059ef22477cb2c227097f5384257e2f49", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 29, + "serialized_chars": 93239, + "estimated_input_tokens": 23310, + "estimated_eval_tokens": 46876 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a false-positive cluster: the PRs span unrelated CI, docs, typo fixes, version bumps, model code, and tests, with no shared underlying bug or change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the items are heterogeneous maintenance changes across different subsystems, so there is no single underlying fix to anchor the cluster.", + "best_issue_reason": null, + "best_pr_reason": "No PR is a strong representative because the cluster does not describe one coherent change; the overlap is only superficial title/wording similarity.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1104", + "right": "pull_request:2766", + "accept": false, + "reason": "Unrelated CI workflow for slow MPS tests vs MPS-specific UNet test adjustments; different problems and code paths." + }, + { + "left": "pull_request:11053", + "right": "pull_request:11187", + "accept": false, + "reason": "Wan Video2Video feature addition vs adding CacheMixin to Wan/LTX transformers; feature work, not the same fix." + }, + { + "left": "pull_request:11099", + "right": "pull_request:11259", + "accept": false, + "reason": "PR GPU test gating/styling workflow vs a dummy styling-bot trigger PR; no shared code change." + }, + { + "left": "pull_request:11187", + "right": "pull_request:11920", + "accept": false, + "reason": "CacheMixin plumbing for Wan/LTX transformers vs Wan test slices; implementation change vs test update." + }, + { + "left": "pull_request:1123", + "right": "pull_request:1640", + "accept": false, + "reason": "MPS docs update vs xformers training enablement; different subsystems and purposes." + }, + { + "left": "pull_request:1123", + "right": "pull_request:715", + "accept": false, + "reason": "PyTorch nightlies docs vs import guard for missing PyTorch; unrelated documentation vs runtime import fix." + }, + { + "left": "pull_request:11262", + "right": "pull_request:11434", + "accept": false, + "reason": "Wan ftfy import guard vs test import cleanup; different files and unrelated fixes." + }, + { + "left": "pull_request:113", + "right": "pull_request:1769", + "accept": false, + "reason": "SDE-VE scheduler initialization fix vs UnCLIP CPU offload test adjustment; different models and issues." + }, + { + "left": "pull_request:113", + "right": "pull_request:2010", + "accept": false, + "reason": "SDE-VE scheduler init fix vs unconditional training LR scheduler fix; separate scheduler bugs." + }, + { + "left": "pull_request:113", + "right": "pull_request:531", + "accept": false, + "reason": "Scheduler initialization bug vs GPU test expectation update; unrelated change types." + }, + { + "left": "pull_request:113", + "right": "pull_request:60", + "accept": false, + "reason": "SDE-VE scheduler init fix vs UNet/resnet architecture fix; different code paths and model families." + }, + { + "left": "pull_request:1130", + "right": "pull_request:2257", + "accept": false, + "reason": "LPW Stable Diffusion community pipeline update vs UnCLIP text interpolation community pipeline; different pipelines, not the same change." + }, + { + "left": "pull_request:1131", + "right": "pull_request:1394", + "accept": false, + "reason": "Version bump to 0.8.0.dev0 vs version bump to 0.9.0.dev0; same file type but different releases and times." + }, + { + "left": "pull_request:11325", + "right": "pull_request:12018", + "accept": false, + "reason": "HiDream docstring replacement vs quantization overview terminology link fix; unrelated docs changes." + }, + { + "left": "pull_request:11365", + "right": "pull_request:12230", + "accept": false, + "reason": "Wan FLF2V conversion script flow_shift tweak vs Wan docs title/name cleanup; different artifact types and goals." + }, + { + "left": "pull_request:11386", + "right": "pull_request:11983", + "accept": false, + "reason": "HiDream README requirement fix vs installation docs command fix; separate docs updates for different topics." + }, + { + "left": "pull_request:11386", + "right": "pull_request:9760", + "accept": false, + "reason": "HiDream README requirement fix vs general README wording cleanup; not the same documentation issue." + }, + { + "left": "pull_request:11391", + "right": "pull_request:11983", + "accept": false, + "reason": "Empty/no-op PR vs installation docs update; no shared underlying change." + }, + { + "left": "pull_request:11416", + "right": "pull_request:12487", + "accept": false, + "reason": "Docs typo cleanup across many pages vs broken-link fixes across loader/training docs; both docs-only but not the same concrete change." + }, + { + "left": "pull_request:11439", + "right": "pull_request:12247", + "accept": false, + "reason": "Hi-Dream LoRA validation bug fix vs AutoGuidance validation fix; different validation logic in different components." + }, + { + "left": "pull_request:11473", + "right": "pull_request:12360", + "accept": false, + "reason": "torchao fp8 doc typo vs Chroma guidance docs rewrite; different documentation areas and subjects." + }, + { + "left": "pull_request:11473", + "right": "pull_request:12391", + "accept": false, + "reason": "torchao fp8 doc typo vs quantization section reorganization; related broad domain, but not the same change." + }, + { + "left": "pull_request:11476", + "right": "pull_request:12552", + "accept": false, + "reason": "General typos/strings cleanup across many files vs Kandinsky5 typo cleanup; both docs/tests but not one underlying fix." + }, + { + "left": "pull_request:11558", + "right": "pull_request:11920", + "accept": false, + "reason": "Layerwise casting + group offloading test addition vs Wan test slices; unrelated test additions for different subsystems." + }, + { + "left": "pull_request:11558", + "right": "pull_request:11955", + "accept": false, + "reason": "Layerwise casting/group offloading tests vs Cosmos test slices; different pipelines and test targets." + }, + { + "left": "pull_request:1157", + "right": "pull_request:688", + "accept": false, + "reason": "Flax training/reporting fix vs Flax import-without-PyTorch fix; separate issues despite both involving Flax." + }, + { + "left": "pull_request:11576", + "right": "pull_request:11731", + "accept": false, + "reason": "Memory docs tip about quantization/offloading vs later tip about compile+offload; same page but distinct guidance changes." + }, + { + "left": "pull_request:1162", + "right": "pull_request:1561", + "accept": false, + "reason": "Community pipeline link fix vs Stable Diffusion Mega community pipeline implementation; link cleanup is not the same as adding the pipeline." + }, + { + "left": "pull_request:1162", + "right": "pull_request:874", + "accept": false, + "reason": "Community pipeline link fix vs generic community README inference example; both docs, but different content and intent." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 92, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11623", + "pull_request:11673", + "pull_request:11693", + "pull_request:11697", + "pull_request:1171", + "pull_request:11731", + "pull_request:11737", + "pull_request:1174", + "pull_request:11740", + "pull_request:1178", + "pull_request:1186", + "pull_request:1187", + "pull_request:11891", + "pull_request:1194", + "pull_request:11954", + "pull_request:11983", + "pull_request:11993", + "pull_request:12069", + "pull_request:12070", + "pull_request:1210", + "pull_request:12129", + "pull_request:1218", + "pull_request:12183", + "pull_request:12193", + "pull_request:1221", + "pull_request:12228", + "pull_request:12233", + "pull_request:12343", + "pull_request:12675", + "pull_request:12681", + "pull_request:12731", + "pull_request:12757", + "pull_request:12971", + "pull_request:1487", + "pull_request:1989", + "pull_request:2433", + "pull_request:2598", + "pull_request:260", + "pull_request:268", + "pull_request:3012", + "pull_request:353", + "pull_request:407", + "pull_request:61", + "pull_request:63", + "pull_request:688", + "pull_request:798", + "pull_request:972" + ], + "soft_pairs": [ + "pull_request:11623|pull_request:12129", + "pull_request:11623|pull_request:12228", + "pull_request:11623|pull_request:12343", + "pull_request:11623|pull_request:12675", + "pull_request:11673|pull_request:11737", + "pull_request:11693|pull_request:12183", + "pull_request:11697|pull_request:11740", + "pull_request:1171|pull_request:260", + "pull_request:1171|pull_request:353", + "pull_request:1171|pull_request:407", + "pull_request:1171|pull_request:798", + "pull_request:1171|pull_request:972", + "pull_request:11731|pull_request:12183", + "pull_request:11731|pull_request:12233", + "pull_request:1174|pull_request:1487", + "pull_request:1174|pull_request:2433", + "pull_request:1174|pull_request:61", + "pull_request:1174|pull_request:63", + "pull_request:1178|pull_request:260", + "pull_request:1178|pull_request:3012", + "pull_request:1178|pull_request:353", + "pull_request:1186|pull_request:688", + "pull_request:1187|pull_request:688", + "pull_request:11891|pull_request:11983", + "pull_request:1194|pull_request:1221", + "pull_request:11954|pull_request:12070", + "pull_request:11993|pull_request:12183", + "pull_request:12069|pull_request:12681", + "pull_request:1210|pull_request:268", + "pull_request:1218|pull_request:1989", + "pull_request:12193|pull_request:12731", + "pull_request:12193|pull_request:12757", + "pull_request:12193|pull_request:12971", + "pull_request:1221|pull_request:2598" + ], + "prepared_review_unit_hash": "5fc88e91429bd88685e89846fa013cfd43cd245c2e7e8ec9a18aeadc4e57a26c", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 34, + "serialized_chars": 92373, + "estimated_input_tokens": 23094, + "estimated_eval_tokens": 46444 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is a loose grab-bag of unrelated typo fixes, docs edits, compile/offload docs, test updates, and a few code fixes; 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not the same bug." + }, + { + "left": "pull_request:11693", + "right": "pull_request:12183", + "accept": false, + "reason": "Different documentation additions for different topics and files." + }, + { + "left": "pull_request:11697", + "right": "pull_request:11740", + "accept": false, + "reason": "Both add compile tests, but for different quantization backends and models." + }, + { + "left": "pull_request:1171", + "right": "pull_request:260", + "accept": false, + "reason": "Both are typo fixes, but in unrelated docs and with no shared underlying issue." + }, + { + "left": "pull_request:1171", + "right": "pull_request:353", + "accept": false, + "reason": "Completely different typo in a UNet error message vs broad docs typos." + }, + { + "left": "pull_request:1171", + "right": "pull_request:407", + "accept": false, + "reason": "Stable Diffusion docs typo fix vs attention slicing API change; not the same change." + }, + { + "left": "pull_request:1171", + "right": "pull_request:798", + "accept": false, + "reason": "Different typo fix in a model docstring, not the same artifact or bug." + }, + { + "left": "pull_request:1171", + "right": "pull_request:972", + "accept": false, + "reason": "Unrelated typo in a README parameter name." + }, + { + "left": "pull_request:11731", + "right": "pull_request:12183", + "accept": false, + "reason": "Both are docs, but one adds compile/offload guidance while the other adds a LoRA badge." + }, + { + "left": "pull_request:11731", + "right": "pull_request:12233", + "accept": false, + "reason": "Related topic, but one adds a tip and the other renames a section; 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unrelated." + }, + { + "left": "pull_request:12069", + "right": "pull_request:12681", + "accept": false, + "reason": "AudioLDM2 runtime fix plus tests vs CI CPU test cleanup; not the same concrete issue." + }, + { + "left": "pull_request:1210", + "right": "pull_request:268", + "accept": false, + "reason": "Both affect slow tests, but they fix different pipelines and different determinism issues." + }, + { + "left": "pull_request:1218", + "right": "pull_request:1989", + "accept": false, + "reason": "Same conversion script file, but different enhancements and different underlying changes." + }, + { + "left": "pull_request:12193", + "right": "pull_request:12731", + "accept": false, + "reason": "README path fix vs Bria Fibo docs edits; unrelated." + }, + { + "left": "pull_request:12193", + "right": "pull_request:12757", + "accept": false, + "reason": "README path fix vs attention-backends formatting/docs; unrelated." + }, + { + "left": "pull_request:12193", + "right": "pull_request:12971", + "accept": false, + "reason": "README path fix vs distributed inference docs reorganization; unrelated." + }, + { + "left": "pull_request:1221", + "right": "pull_request:2598", + "accept": false, + "reason": "Weight-reuse docs vs PaintByExample docs correction; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 93, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:12247", + "pull_request:1227", + "pull_request:12272", + "pull_request:1230", + "pull_request:12307", + "pull_request:12343", + "pull_request:12387", + "pull_request:12416", + "pull_request:12479", + "pull_request:12487", + "pull_request:12552", + "pull_request:12618", + "pull_request:12675", + "pull_request:12731", + "pull_request:12757", + "pull_request:12775", + "pull_request:1282", + "pull_request:12890", + "pull_request:12971", + "pull_request:12980", + "pull_request:12984", + "pull_request:13040", + "pull_request:13076", + "pull_request:13082", + "pull_request:13115", + "pull_request:13135", + "pull_request:13158", + "pull_request:13174", + "pull_request:13181", + "pull_request:1319", + "pull_request:13253", + "pull_request:13294", + "pull_request:13344", + "pull_request:13368", + "pull_request:13369", + "pull_request:13382", + "pull_request:13400", + "pull_request:13499", + "pull_request:1751", + "pull_request:2175", + "pull_request:2362", + "pull_request:2587", + "pull_request:2624", + "pull_request:2836", + "pull_request:3079", + "pull_request:421", + "pull_request:429", + "pull_request:500" + ], + "soft_pairs": [ + "pull_request:12247|pull_request:12272", + "pull_request:1227|pull_request:2175", + "pull_request:1227|pull_request:2587", + "pull_request:1227|pull_request:2624", + "pull_request:1227|pull_request:429", + "pull_request:1227|pull_request:500", + "pull_request:1230|pull_request:1751", + "pull_request:1230|pull_request:2362", + "pull_request:1230|pull_request:3079", + "pull_request:12307|pull_request:12980", + "pull_request:12343|pull_request:12479", + "pull_request:12387|pull_request:12416", + "pull_request:12487|pull_request:13040", + "pull_request:12487|pull_request:13076", + "pull_request:12487|pull_request:13181", + "pull_request:12552|pull_request:13040", + "pull_request:12552|pull_request:13076", + "pull_request:12552|pull_request:13181", + "pull_request:12618|pull_request:13294", + "pull_request:12675|pull_request:13135", + "pull_request:12731|pull_request:12890", + "pull_request:12757|pull_request:12890", + "pull_request:12775|pull_request:13158", + "pull_request:12775|pull_request:13253", + "pull_request:1282|pull_request:2836", + "pull_request:12890|pull_request:12971", + "pull_request:12890|pull_request:13400", + "pull_request:12980|pull_request:13115", + "pull_request:12984|pull_request:13382", + "pull_request:12984|pull_request:13499", + "pull_request:13082|pull_request:13368", + "pull_request:13082|pull_request:13369", + "pull_request:13174|pull_request:13344", + "pull_request:1319|pull_request:421" + ], + "prepared_review_unit_hash": "0d27736b5ed5e65869e8ce86009ca021ebac2a48742bd6f7920b2b92fd37fc01", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 34, + "serialized_chars": 98918, + "estimated_input_tokens": 24730, + "estimated_eval_tokens": 49716 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: docs-only fixes, CI/test tweaks, modular pipeline changes, and unrelated model/test refactors. 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"component_index": 1, + "component_count": 255, + "review_unit_index": 94, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1330", + "pull_request:1341", + "pull_request:1373", + "pull_request:1394", + "pull_request:1401", + "pull_request:1408", + "pull_request:1412", + "pull_request:1423", + "pull_request:1437", + "pull_request:1467", + "pull_request:1490", + "pull_request:1496", + "pull_request:15", + "pull_request:1510", + "pull_request:154", + "pull_request:1558", + "pull_request:1576", + "pull_request:1605", + "pull_request:1627", + "pull_request:1640", + "pull_request:168", + "pull_request:1727", + "pull_request:178", + "pull_request:1849", + "pull_request:1989", + "pull_request:2278", + "pull_request:260", + "pull_request:3066", + "pull_request:3068", + "pull_request:309", + "pull_request:316", + 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"pull_request:1496|pull_request:1605", + "pull_request:15|pull_request:395", + "pull_request:1510|pull_request:1989", + "pull_request:1558|pull_request:948", + "pull_request:1576|pull_request:3068", + "pull_request:1576|pull_request:3166", + "pull_request:1576|pull_request:3554", + "pull_request:1576|pull_request:3555", + "pull_request:1627|pull_request:316", + "pull_request:1640|pull_request:3417", + "pull_request:1727|pull_request:3241", + "pull_request:178|pull_request:2278", + "pull_request:178|pull_request:309", + "pull_request:178|pull_request:72" + ], + "prepared_review_unit_hash": "baca94e5f75c22ab133e1a86017461bd98dddb5bac7d045f7060acde958fd6ab", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 100930, + 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Not the same concrete bug/change." + }, + { + "left": "pull_request:9408", + "right": "pull_request:9658", + "accept": false, + "reason": "Flux ControlNet pipeline feature work vs. a community example for a distilled controlnet model; different artifacts and purposes." + }, + { + "left": "pull_request:948", + "right": "pull_request:972", + "accept": false, + "reason": "Two small typo fixes in unrelated files; same class of edit, but not duplicate changes." + }, + { + "left": "pull_request:12086", + "right": "pull_request:12387", + "accept": false, + "reason": "Flux modular I2I support and flash-attention-through-kernels support are separate feature additions." + }, + { + "left": "pull_request:12006", + "right": "pull_request:12909", + "accept": false, + "reason": "Wan 2.2 i2v feature addition and Wan context-parallel fix are different code-path changes." + }, + { + "left": "pull_request:6946", + "right": "pull_request:9073", + "accept": false, + "reason": "IP-Adapter loading memory option vs. single-file SparseControlNet loading support; both loaders, but distinct functionality." + }, + { + "left": "pull_request:6868", + "right": "pull_request:7189", + "accept": false, + "reason": "Related IP-Adapter plumbing, but one introduces ip_adapter_image_embeds and the other fixes plus-embed repetition logic; strict duplicate criteria not met." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 103, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10230", + "pull_request:10318", + "pull_request:10544", + "pull_request:11479", + "pull_request:11595", + "pull_request:11843", + "pull_request:12074", + "pull_request:12324", + "pull_request:12416", + "pull_request:12451", + "pull_request:12541", + "pull_request:12681", + "pull_request:12782", + "pull_request:13042", + "pull_request:13211", + "pull_request:13280", + "pull_request:2172", + "pull_request:2367", + "pull_request:2464", + "pull_request:2467", + "pull_request:2983", + "pull_request:3080", + "pull_request:3127", + "pull_request:3299", + "pull_request:3339", + "pull_request:3652", + "pull_request:3847", + "pull_request:4315", + "pull_request:4508", + "pull_request:4761", + "pull_request:4795", + "pull_request:4862", + "pull_request:4886", + "pull_request:4899", + "pull_request:5127", + "pull_request:5298", + "pull_request:5738", + "pull_request:5948", + "pull_request:5958", + "pull_request:6217", + "pull_request:7632", + "pull_request:7786", + "pull_request:823", + "pull_request:826", + "pull_request:9061", + "pull_request:9213", + "pull_request:9964" + ], + "soft_pairs": [ + "pull_request:9213|pull_request:9964", + "pull_request:12416|pull_request:13280", + "pull_request:12074|pull_request:12324", + "pull_request:2367|pull_request:3652", + "pull_request:7632|pull_request:9061", + "pull_request:2467|pull_request:823", + "pull_request:3299|pull_request:4761", + "pull_request:4315|pull_request:5298", + "pull_request:4508|pull_request:5948", + "pull_request:4795|pull_request:4862", + "pull_request:5738|pull_request:5958", + "pull_request:6217|pull_request:7786", + "pull_request:823|pull_request:826", + "pull_request:4899|pull_request:5127", + "pull_request:10230|pull_request:10544", + "pull_request:10318|pull_request:11595", + "pull_request:11479|pull_request:12451", + "pull_request:11843|pull_request:12541", + "pull_request:12681|pull_request:13042", + "pull_request:12782|pull_request:13211", + "pull_request:2172|pull_request:3080", + "pull_request:2464|pull_request:3339", + "pull_request:2983|pull_request:3847", + "pull_request:3127|pull_request:4886" + ], + "prepared_review_unit_hash": "80b0f186d678e7ae6b8c57d63070b5a5788beca251de47e0f242a256b9944f38", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 96995, + "estimated_input_tokens": 24249, + "estimated_eval_tokens": 48754 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a loose collection of unrelated PRs; the only plausible duplicate-like pair is the two LoRA torch.compile conv fixes. I\u2019d keep PR 9213 as the best representative because it is the broadest, most central feature PR in the group.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9213 is the broadest and most foundational change here, with the largest scope, heavy review activity, and clear code/docs impact in quantization.", + "best_issue_reason": null, + "best_pr_reason": "PR 9213 is the strongest single representative of the cluster: substantial feature work, well-reviewed, and more central than the mostly orthogonal doc/test bugfix PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9213", + "right": "pull_request:9964", + "accept": false, + "reason": "Both are quantization support additions, but they implement different backends/features (bitsandbytes vs GGUF) and are not the same change." + }, + { + "left": "pull_request:12416", + "right": "pull_request:13280", + "accept": false, + "reason": "Different feature areas entirely: QwenImage Edit Plus modular support vs FlashAttention-4 support." + }, + { + "left": "pull_request:12074", + "right": "pull_request:12324", + "accept": false, + "reason": "Both are Wan-related, but one adds LoRA loading into a second transformer while the other adds Wan2.2 VACE conversion support; different code paths." + }, + { + "left": "pull_request:2367", + "right": "pull_request:3652", + "accept": false, + "reason": "Checkpoint retention-limit plumbing and checkpoint naming refactor are separate training-script changes." + }, + { + "left": "pull_request:7632", + "right": "pull_request:9061", + "accept": false, + "reason": "DreamBooth VAE loading path fix and sharded-checkpoint variant loading are different bugs." + }, + { + "left": "pull_request:2467", + "right": "pull_request:823", + "accept": false, + "reason": "One is a broad output-type/docs-style pipeline change; the other is a negative-prompt type-check bug fix." + }, + { + "left": "pull_request:3299", + "right": "pull_request:4761", + "accept": false, + "reason": "LoRA documentation/text-encoder guidance is unrelated to the PaintByExample image encoder fix." + }, + { + "left": "pull_request:4315", + "right": "pull_request:5298", + "accept": true, + "reason": "Both fix the same LoRA convolution torch.compile graph-break problem in the same code area, and could plausibly be merged into one PR." + }, + { + "left": "pull_request:4508", + "right": "pull_request:5948", + "accept": false, + "reason": "`use_onnx` propagation in `from_pretrained` and the variant-warning condition are unrelated pipeline-utils fixes." + }, + { + "left": "pull_request:4795", + "right": "pull_request:4862", + "accept": false, + "reason": "Both touch ControlNet, but they fix different bugs: compile behavior vs MultiControlNet img2img shape handling." + }, + { + "left": "pull_request:5738", + "right": "pull_request:5958", + "accept": false, + "reason": "Adapter deletion and load_lora refactor are separate PEFT/LoRA feature changes, not the same underlying bug." + }, + { + "left": "pull_request:6217", + "right": "pull_request:7786", + "accept": false, + "reason": "Stable Video Diffusion VAE torch.compile handling and the num_videos_per_prompt repeat-order bug are different issues." + }, + { + "left": "pull_request:823", + "right": "pull_request:826", + "accept": false, + "reason": "These fix different problems in different scripts/pipelines; they are not the same code-path bug." + }, + { + "left": "pull_request:4899", + "right": "pull_request:5127", + "accept": false, + "reason": "ControlNet LoRA support and SDXL adapter multi-adapter support are separate feature additions." + }, + { + "left": "pull_request:10230", + "right": "pull_request:10544", + "accept": false, + "reason": "Both are docs PRs, but one adds LoRA mixin docs while the other documents ParaAttention; unrelated topics." + }, + { + "left": "pull_request:10318", + "right": "pull_request:11595", + "accept": false, + "reason": "One is a Flux LoRA test addition, the other is a Flux LoRA loading bug fix; related area but not the same change." + }, + { + "left": "pull_request:11479", + "right": "pull_request:12451", + "accept": false, + "reason": "Intel Gaudi doc rename and doc-builder Dockerfile dependency changes are unrelated." + }, + { + "left": "pull_request:11843", + "right": "pull_request:12541", + "accept": false, + "reason": "Wan VACE exclude_modules tests and latest few-step Wan LoRA support are different Wan-LoRA changes." + }, + { + "left": "pull_request:12681", + "right": "pull_request:13042", + "accept": false, + "reason": "These are CI/test fixes for different pipelines and different failure modes." + }, + { + "left": "pull_request:12782", + "right": "pull_request:13211", + "accept": false, + "reason": "Hunyuan offloading test adjustment and the runtime group-offloading bug fix are not the same underlying change." + }, + { + "left": "pull_request:2172", + "right": "pull_request:3080", + "accept": false, + "reason": "Multi-GPU validation behavior and pipeline save_pretrained None-handling are unrelated." + }, + { + "left": "pull_request:2464", + "right": "pull_request:3339", + "accept": false, + "reason": "Training-script xformers cleanup and urllib3 pinning address completely different concerns." + }, + { + "left": "pull_request:2983", + "right": "pull_request:3847", + "accept": false, + "reason": "Contributor docs for installing test deps and the dependency-check workflow are different documentation/test infra changes." + }, + { + "left": "pull_request:3127", + "right": "pull_request:4886", + "accept": false, + "reason": "Both involve safety checker flow, but they fix different pipeline implementations and different concrete bugs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary stays grounded in the packet and is appropriately cautious. The only soft-edge pair accepted, PR 4315 and PR 5298, is plausibly mergeable as the same torch.compile/LoRA conv fix in the same code area. The other pair verdicts are conservative, and the choice of PR 9213 as the representative is supported by its broad scope and review activity." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 104, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10261", + "pull_request:10366", + "pull_request:10717", + "pull_request:10854", + "pull_request:11124", + "pull_request:11756", + "pull_request:12024", + "pull_request:12041", + "pull_request:1269", + "pull_request:1527", + "pull_request:192", + "pull_request:2915", + "pull_request:3316", + "pull_request:3707", + "pull_request:3850", + "pull_request:4083", + "pull_request:4098", + "pull_request:4845", + "pull_request:4989", + "pull_request:4999", + "pull_request:5010", + "pull_request:5030", + "pull_request:5093", + "pull_request:5477", + "pull_request:5559", + "pull_request:5702", + "pull_request:6009", + "pull_request:6099", + "pull_request:6346", + "pull_request:6355", + "pull_request:6787", + "pull_request:6828", + "pull_request:6864", + "pull_request:7016", + "pull_request:7096", + "pull_request:7103", + "pull_request:7156", + "pull_request:7246", + "pull_request:7328", + "pull_request:7458", + "pull_request:7613", + "pull_request:7820", + "pull_request:7932", + "pull_request:8797", + "pull_request:8901", + "pull_request:9175", + "pull_request:9542" + ], + "soft_pairs": [ + "pull_request:6346|pull_request:7096", + "pull_request:6864|pull_request:7328", + "pull_request:7103|pull_request:7156", + "pull_request:7246|pull_request:7458", + "pull_request:7932|pull_request:8797", + "pull_request:5477|pull_request:5559", + "pull_request:5010|pull_request:6787", + "pull_request:6355|pull_request:7613", + "pull_request:6828|pull_request:7820", + "pull_request:4083|pull_request:4098", + "pull_request:9175|pull_request:9542", + "pull_request:12024|pull_request:12041", + "pull_request:7016|pull_request:8901", + "pull_request:10261|pull_request:10717", + "pull_request:10366|pull_request:11756", + "pull_request:10854|pull_request:11124", + "pull_request:1269|pull_request:192", + "pull_request:1527|pull_request:192", + "pull_request:2915|pull_request:5093", + "pull_request:3316|pull_request:3707", + "pull_request:3850|pull_request:4845", + "pull_request:4989|pull_request:4999", + "pull_request:5030|pull_request:5702", + "pull_request:6009|pull_request:6099" + ], + "prepared_review_unit_hash": "31e0bbe9b90e3d4b9690b1318ed9dd7029095ca15d35a9886dc8bd6bddc39fb8", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 97651, + "estimated_input_tokens": 24413, + "estimated_eval_tokens": 49082 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a heterogeneous mix of unrelated PRs across docs, tests, model fixes, and pipeline features. The soft-edge pairs mostly share broad themes (e.g. IP-Adapter, Flux, SDXL, Wuerstchen) but do not appear to be the same concrete bug or change, so none should be merged as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7016 is the broadest, most central change in the set: it refactors IP-Adapter image-embedding handling across many pipelines and docs, with high discussion and multiple inbound references. As a representative PR for the cluster, it best captures the largest coherent change area.", + "best_issue_reason": null, + "best_pr_reason": "PR #7016 is the strongest global representative because it spans the widest code surface and is the most substantial single feature change among the items. The rest are narrower follow-ups or unrelated fixes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6346", + "right": "pull_request:7096", + "accept": false, + "reason": "Different changes: training-example LoRA conversion follow-up vs ControlNet training README/script enhancements. Same general training area, but not the same underlying bug or patch." + }, + { + "left": "pull_request:6864", + "right": "pull_request:7328", + "accept": false, + "reason": "Docs/tutorial note about torch.compile and LoRA fusion vs adding torch to the PyPI publish workflow. No shared code path or concrete bug." + }, + { + "left": "pull_request:7103", + "right": "pull_request:7156", + "accept": false, + "reason": "ControlNet image validation bug fix vs stale-bot label handling bug. Completely different subsystems and failure modes." + }, + { + "left": "pull_request:7246", + "right": "pull_request:7458", + "accept": false, + "reason": "VAE tiling test device handling vs skipping dynamo tests on Python 3.12. Both test-only, but unrelated issues." + }, + { + "left": "pull_request:7932", + "right": "pull_request:8797", + "accept": false, + "reason": "LoRA test expectation updates vs sharded checkpoint test adjustments. Both are test maintenance, not the same defect." + }, + { + "left": "pull_request:5477", + "right": "pull_request:5559", + "accept": false, + "reason": "A new community pipeline README/code addition vs adding an Img2Img latent-consistency pipeline. Related family, but distinct features and code paths." + }, + { + "left": "pull_request:5010", + "right": "pull_request:6787", + "accept": false, + "reason": "GLIGEN text-to-image export/import fix vs Marigold input normalization fix. Unrelated models and bugs." + }, + { + "left": "pull_request:6355", + "right": "pull_request:7613", + "accept": false, + "reason": "Advanced training widget-format cleanup vs model card standardization for SD15 LoRA. Same docs-adjacent area, but not the same change." + }, + { + "left": "pull_request:6828", + "right": "pull_request:7820", + "accept": false, + "reason": "UNetMotionModel IP-Adapter code-path update vs enabling IP-Adapter in InstructPix2Pix. Both touch IP-Adapter, but different pipelines/models and not mergeable as one fix." + }, + { + "left": "pull_request:4083", + "right": "pull_request:4098", + "accept": false, + "reason": "SDXL low-precision VAE support vs adding SDXL inpainting. Different feature work, not the same underlying bug." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9542", + "accept": false, + "reason": "Flux Union ControlNet support vs Flux LoRA text-encoder conversion support. Both Flux-related, but different components and purposes." + }, + { + "left": "pull_request:12024", + "right": "pull_request:12041", + "accept": false, + "reason": "Wan2.2 follow-up pipeline/model fixes vs a VAE patchify correction. Different code paths and problems." + }, + { + "left": "pull_request:7016", + "right": "pull_request:8901", + "accept": false, + "reason": "Both are IP-Adapter-related, but #7016 is a broad refactor of image-embedding preparation while #8901 adds Kolors-specific IP-Adapter support. Different target models and changes." + }, + { + "left": "pull_request:10261", + "right": "pull_request:10717", + "accept": false, + "reason": "#10261 adds Flux IP-Adapter support broadly, while #10717 adds IP-Adapter specifically to FluxImg2ImgPipeline. Same theme, but not the same concrete fix/change." + }, + { + "left": "pull_request:10366", + "right": "pull_request:11756", + "accept": false, + "reason": "Sana modulated norm implementation vs Sana test fixes. Not the same bug or code change." + }, + { + "left": "pull_request:10854", + "right": "pull_request:11124", + "accept": false, + "reason": "Hunyuan DiT test-module rename for CI vs CogView4 tokenizer test update. Unrelated test/CI fixes." + }, + { + "left": "pull_request:1269", + "right": "pull_request:192", + "accept": false, + "reason": "Stable Diffusion refactor vs a README parameter example update. Same broad project area, but not the same issue or change." + }, + { + "left": "pull_request:1527", + "right": "pull_request:192", + "accept": false, + "reason": "Stable Diffusion inpaint tensor-input support vs a README example tweak. One is a code fix, the other is documentation." + }, + { + "left": "pull_request:2915", + "right": "pull_request:5093", + "accept": false, + "reason": "Text inversion test tolerance change vs moving slow tests to nightly. Both test-related, but distinct maintenance tasks." + }, + { + "left": "pull_request:3316", + "right": "pull_request:3707", + "accept": false, + "reason": "Patch-release doc build branch fix vs switching doc workflows to secrets. Both documentation workflow changes, but different problems and PR scopes." + }, + { + "left": "pull_request:3850", + "right": "pull_request:4845", + "accept": false, + "reason": "AudioDiffusion test mel-resolution fix vs Stable Diffusion Inpaint dummy-input handling. Unrelated test fixes." + }, + { + "left": "pull_request:4989", + "right": "pull_request:4999", + "accept": false, + "reason": "Two different Wuerstchen fixes: num_images_per_prompt propagation vs compel usage adjustments. Same subsystem, but separate concrete bugs." + }, + { + "left": "pull_request:5030", + "right": "pull_request:5702", + "accept": false, + "reason": "Model offload bug fix vs AnimateDiff prompt defaulting/prompt_embeds bug. Different pipelines and failure modes." + }, + { + "left": "pull_request:6009", + "right": "pull_request:6099", + "accept": false, + "reason": "TensorRT super-args fix for StableDiffusion variants vs TextToVideoZeroPipeline constructor arguments. Both involve constructor plumbing, but different examples and code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 105, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10205", + "pull_request:10292", + "pull_request:10378", + "pull_request:10454", + "pull_request:10544", + "pull_request:10581", + "pull_request:11059", + "pull_request:11428", + "pull_request:11485", + "pull_request:11726", + "pull_request:12249", + "pull_request:12451", + "pull_request:12679", + "pull_request:13100", + "pull_request:2479", + "pull_request:4062", + "pull_request:4396", + "pull_request:4910", + "pull_request:4944", + "pull_request:5057", + "pull_request:5157", + "pull_request:5470", + "pull_request:5938", + "pull_request:6191", + "pull_request:6241", + "pull_request:6330", + "pull_request:6499", + "pull_request:6828", + "pull_request:6904", + "pull_request:6972", + "pull_request:7158", + "pull_request:7226", + "pull_request:7476", + "pull_request:7550", + "pull_request:7944", + "pull_request:8490", + "pull_request:8688", + "pull_request:8691", + "pull_request:8916", + "pull_request:8985", + "pull_request:9017", + "pull_request:9040", + "pull_request:9244", + "pull_request:9311", + "pull_request:9367", + "pull_request:9542", + "pull_request:9881", + "pull_request:9993" + ], + "soft_pairs": [ + "pull_request:6191|pull_request:8490", + "pull_request:6499|pull_request:7226", + "pull_request:8688|pull_request:8691", + "pull_request:8916|pull_request:8985", + "pull_request:11726|pull_request:12679", + "pull_request:4062|pull_request:5057", + "pull_request:4944|pull_request:6828", + "pull_request:10454|pull_request:11428", + "pull_request:11485|pull_request:12249", + "pull_request:10205|pull_request:10378", + "pull_request:10205|pull_request:11059", + "pull_request:10378|pull_request:9993", + "pull_request:10544|pull_request:9244", + "pull_request:12451|pull_request:13100", + "pull_request:2479|pull_request:4396", + "pull_request:4910|pull_request:6330", + "pull_request:5157|pull_request:5470", + "pull_request:6241|pull_request:6904", + "pull_request:6972|pull_request:7158", + "pull_request:7476|pull_request:9311", + "pull_request:9017|pull_request:9542", + "pull_request:7550|pull_request:9040", + "pull_request:10292|pull_request:9367", + "pull_request:5938|pull_request:7944", + "pull_request:10581|pull_request:9881" + ], + "prepared_review_unit_hash": "66ef47f8b4691f051803b60db7b5d68463685874600dd714bff92e88a8a833b3", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 98581, + "estimated_input_tokens": 24646, + "estimated_eval_tokens": 49548 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No duplicate cluster here: the candidate pairs are only loosely related by subsystem or feature area, but they address different code paths, models, or docs changes. 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No evidence they are the same bug." + }, + { + "left": "pull_request:6972", + "right": "pull_request:7158", + "accept": false, + "reason": "IP-Adapter unload test fix vs LCM benchmark cleanup; different targets and semantics." + }, + { + "left": "pull_request:7476", + "right": "pull_request:9311", + "accept": false, + "reason": "Both involve ControlNet SDXL internals, but one fixes torch.compile multi-controlnet behavior and the other adds CFG cutoff callbacks; different changes." + }, + { + "left": "pull_request:9017", + "right": "pull_request:9542", + "accept": false, + "reason": "AuraFlow LoRA support vs Flux LoRA conversion for Kohya text encoders; different models and code paths." + }, + { + "left": "pull_request:7550", + "right": "pull_request:9040", + "accept": false, + "reason": "Both are community example additions, but they implement different pipelines for different model families." + }, + { + "left": "pull_request:10292", + "right": "pull_request:9367", + "accept": false, + "reason": "Both modify AutoPipeline for Flux variants, but one adds Flux Control and the other adds Flux inpaint/img2img/controlnet routing; 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Different bugs." + }, + { + "left": "pull_request:10286", + "right": "pull_request:10481", + "accept": false, + "reason": "Different Sana changes: README model path update versus pipeline default clean_caption behavior." + }, + { + "left": "pull_request:10316", + "right": "pull_request:10825", + "accept": false, + "reason": "One is an LTX video docs cleanup, the other is a text2image training docs addition; unrelated documentation changes." + }, + { + "left": "pull_request:10524", + "right": "pull_request:10825", + "accept": false, + "reason": "Hunyuan Video checkpoint-id docs fix versus text2image training docs update; different topics and targets." + }, + { + "left": "pull_request:10578", + "right": "pull_request:11660", + "accept": false, + "reason": "Both are LoRA-related, but they support different model families and formats (Flux 4-bit loading vs HiDream LoRA conversion)." + }, + { + "left": "pull_request:10648", + "right": "pull_request:11545", + "accept": false, + "reason": "Scheduler docs for DDPM sigmoid versus missing VAE slicing/tiling methods in Flux img2img; unrelated." + }, + { + "left": "pull_request:1104", + "right": "pull_request:796", + "accept": false, + "reason": "Both touch CI/M1 tests, but one adds slow MPS workflows while the other sets up Apple M1 testing infrastructure; not the same underlying change." + }, + { + "left": "pull_request:11058", + "right": "pull_request:11099", + "accept": false, + "reason": "One makes tests device-agnostic across accelerators; the other gates GPU PR tests on style/quality checks. Different purposes." + }, + { + "left": "pull_request:1129", + "right": "pull_request:1765", + "accept": false, + "reason": "Both edit the DreamBooth Flax script, but they fix different issues: sample batch sizing vs removing/adjusting CLI and flax training behavior." + }, + { + "left": "pull_request:12018", + "right": "pull_request:12464", + "accept": false, + "reason": "Both are docs fixes, but one is a quantization link rename and the other is Marigold syntax cleanup; no shared bug." + }, + { + "left": "pull_request:12170", + "right": "pull_request:12275", + "accept": false, + "reason": "Both involve loading/quantization adjacent code, but one expands Qwen LoRA conversion support and the other adds TorchAO config compatibility; different features." + }, + { + "left": "pull_request:1230", + "right": "pull_request:1701", + "accept": false, + "reason": "Both aim at fast tests, but one fixes MPS generator handling in DDIM/DDPM while the other refactors RePaint preprocessing and API conformity." + }, + { + "left": "pull_request:12856", + "right": "pull_request:13056", + "accept": false, + "reason": "Same Z-Image family, but one is a core implementation PR and the other is a DreamBooth LoRA training example; not the same change." + }, + { + "left": "pull_request:1408", + "right": "pull_request:1416", + "accept": false, + "reason": "Both are conversion-related, but one fixes Stable Diffusion checkpoint sample-size conversion and the other fixes ONNX conversion/inference plumbing; different code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 107, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1436", + "pull_request:1605", + "pull_request:168", + "pull_request:1849", + "pull_request:1879", + "pull_request:1927", + "pull_request:2103", + "pull_request:2400", + "pull_request:2446", + "pull_request:2693", + "pull_request:2974", + "pull_request:3389", + "pull_request:3398", + "pull_request:3680", + "pull_request:3755", + "pull_request:392", + "pull_request:3945", + "pull_request:3971", + "pull_request:402", + "pull_request:4211", + "pull_request:4258", + "pull_request:4343", + "pull_request:4457", + "pull_request:4498", + "pull_request:4503", + "pull_request:4582", + "pull_request:4595", + "pull_request:4659", + "pull_request:4661", + "pull_request:4763", + "pull_request:4795", + "pull_request:4856", + "pull_request:4934", + "pull_request:5039", + "pull_request:5157", + "pull_request:5180", + "pull_request:5275", + "pull_request:5289", + "pull_request:5367", + "pull_request:5499", + "pull_request:5698", + "pull_request:5982", + "pull_request:6289", + "pull_request:6305", + "pull_request:6528", + "pull_request:6757", + "pull_request:688", + "pull_request:874" + ], + "soft_pairs": [ + "pull_request:1436|pull_request:688", + "pull_request:1605|pull_request:1849", + "pull_request:168|pull_request:1927", + "pull_request:1879|pull_request:3389", + "pull_request:2103|pull_request:3945", + "pull_request:2400|pull_request:874", + "pull_request:2446|pull_request:3398", + "pull_request:2693|pull_request:4856", + "pull_request:2974|pull_request:4457", + "pull_request:3680|pull_request:5499", + "pull_request:3755|pull_request:5289", + "pull_request:392|pull_request:402", + "pull_request:3945|pull_request:4934", + "pull_request:3971|pull_request:5180", + "pull_request:4211|pull_request:5275", + "pull_request:4258|pull_request:4503", + "pull_request:4343|pull_request:6305", + "pull_request:4498|pull_request:4763", + "pull_request:4582|pull_request:5367", + "pull_request:4595|pull_request:6289", + "pull_request:4659|pull_request:6757", + "pull_request:4661|pull_request:6757", + "pull_request:4795|pull_request:5157", + "pull_request:5039|pull_request:5982", + "pull_request:5698|pull_request:6528" + ], + "prepared_review_unit_hash": "8b3dd4bfc72216fca2e11538fdb0f963335dfb74f27a3794fa977d381f4cbdf9", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 96969, + "estimated_input_tokens": 24243, + "estimated_eval_tokens": 48742 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft pairs are superficial topic/file overlaps, not true duplicates. 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Different concrete fixes." + }, + { + "left": "pull_request:7825", + "right": "pull_request:9379", + "accept": false, + "reason": "These touch different test and model areas; one skips device-map tests for models without split modules, the other fixes Flux fast GPU tests and model device handling." + }, + { + "left": "pull_request:9821", + "right": "pull_request:9827", + "accept": false, + "reason": "Both concern device_map handling, but one changes a helper check while the other changes LoRA loading/offloading interactions and documents supported workflows. Related topic, not same fix." + }, + { + "left": "pull_request:10494", + "right": "pull_request:9536", + "accept": false, + "reason": "One changes LoRA install behavior in CI; the other fixes ChatGLM tokenizer padding API. No shared underlying bug." + }, + { + "left": "pull_request:12142", + "right": "pull_request:12914", + "accept": false, + "reason": "One fixes mask dtype handling in WAN VACE; the other corrects a documentation typo in Cosmos. Different scope and code path." + }, + { + "left": "pull_request:12143", + "right": "pull_request:12914", + "accept": false, + "reason": "One fixes bf16/fp16 handling in WAN VACE plus tests; the other is a doc typo fix in Cosmos. Not duplicates." + }, + { + "left": "pull_request:1215", + "right": "pull_request:819", + "accept": false, + "reason": "Both are DDIM scheduler changes, but one handles eta/generator noise placement and the other fixes timestep dtype on Windows. Distinct bugs and eras." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 113, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10730", + "pull_request:11896", + "pull_request:12790", + "pull_request:13100", + "pull_request:1327", + "pull_request:13410", + "pull_request:1588", + "pull_request:2002", + "pull_request:2479", + "pull_request:2557", + "pull_request:2584", + "pull_request:2861", + "pull_request:2919", + "pull_request:2928", + "pull_request:2994", + "pull_request:3016", + "pull_request:3128", + "pull_request:3446", + "pull_request:3614", + "pull_request:3691", + "pull_request:3912", + "pull_request:4070", + "pull_request:4215", + "pull_request:4428", + "pull_request:4749", + "pull_request:4862", + "pull_request:4886", + "pull_request:5157", + "pull_request:6085", + "pull_request:6147", + "pull_request:6578", + "pull_request:6946", + "pull_request:7018", + "pull_request:7166", + "pull_request:7186", + "pull_request:7295", + "pull_request:7797", + "pull_request:7803", + "pull_request:7804", + "pull_request:816", + "pull_request:8422", + "pull_request:8631", + "pull_request:8902", + "pull_request:9099", + "pull_request:9175", + "pull_request:9244", + "pull_request:9601" + ], + "soft_pairs": [ + "pull_request:1588|pull_request:3614", + "pull_request:2584|pull_request:4862", + "pull_request:2861|pull_request:2919", + "pull_request:2994|pull_request:4749", + "pull_request:4215|pull_request:6578", + "pull_request:7797|pull_request:8422", + "pull_request:7803|pull_request:8422", + "pull_request:7804|pull_request:8422", + "pull_request:9099|pull_request:9175", + "pull_request:11896|pull_request:12790", + "pull_request:6946|pull_request:7186", + "pull_request:10730|pull_request:9601", + "pull_request:13100|pull_request:13410", + "pull_request:1327|pull_request:2928", + "pull_request:1327|pull_request:3446", + "pull_request:2002|pull_request:816", + "pull_request:2479|pull_request:3691", + "pull_request:2479|pull_request:3912", + "pull_request:2557|pull_request:3016", + "pull_request:3128|pull_request:4886", + "pull_request:4070|pull_request:4428", + "pull_request:4862|pull_request:6085", + "pull_request:5157|pull_request:7018", + "pull_request:6147|pull_request:7166", + "pull_request:7295|pull_request:9244", + "pull_request:8631|pull_request:8902" + ], + "prepared_review_unit_hash": "382ae6c651b383b532486aa29ce8b3cf19b13c2ccf515a3bc523c4523e966ea7", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 95379, + "estimated_input_tokens": 23845, + "estimated_eval_tokens": 47946 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a loose thematic grouping, not a duplicate set. 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Different underlying changes." + }, + { + "left": "pull_request:6946", + "right": "pull_request:7186", + "accept": false, + "reason": "Both are IP-Adapter work, but one adds low_cpu_mem_usage loading while the other moves Face ID support to core; distinct feature changes." + }, + { + "left": "pull_request:10730", + "right": "pull_request:9601", + "accept": false, + "reason": "Different bugs in different areas: wrapped-model hook removal vs SD3 ControlNet VAE dtype selection." + }, + { + "left": "pull_request:13100", + "right": "pull_request:13410", + "accept": false, + "reason": "Both mention modular pipelines/docs, but one updates ModularPipeline documentation while the other adds agent instructions and renames a skill doc." + }, + { + "left": "pull_request:1327", + "right": "pull_request:2928", + "accept": false, + "reason": "Local custom pipeline loading and custom dataset loading for ControlNet are unrelated changes." + }, + { + "left": "pull_request:1327", + "right": "pull_request:3446", + "accept": false, + "reason": "Custom local pipeline loading and a pipeline-loading warning-message fix do not share the same bug/change." + }, + { + "left": "pull_request:2002", + "right": "pull_request:816", + "accept": false, + "reason": "LoRA example support and a Deepspeed compatibility fix are separate training-script changes." + }, + { + "left": "pull_request:2479", + "right": "pull_request:3691", + "accept": false, + "reason": "Both are LoRA-related, but one adds text-encoder training support in the example while the other switches the loader implementation for PT 2.0; not the same concrete fix." + }, + { + "left": "pull_request:2479", + "right": "pull_request:3912", + "accept": false, + "reason": "Same example file and topic, but 2479 adds the feature plumbing while 3912 is docs/tests around text-encoder finetuning; not the same PR-level change." + }, + { + "left": "pull_request:2557", + "right": "pull_request:3016", + "accept": false, + "reason": "Intermediate logging for DreamBooth and Min-SNR weighting in ControlNet training are different feature additions." + }, + { + "left": "pull_request:3128", + "right": "pull_request:4886", + "accept": false, + "reason": "Both are timestep/safety-related pipeline fixes, but they affect different pipelines and different bugs." + }, + { + "left": "pull_request:4070", + "right": "pull_request:4428", + "accept": false, + "reason": "SDXL doc tweaks are not the same as the broader SDXL docs/navigation rework." + }, + { + "left": "pull_request:4862", + "right": "pull_request:6085", + "accept": false, + "reason": "MultiControlNet image-shape handling and scheduler add_noise fixes are unrelated changes." + }, + { + "left": "pull_request:5157", + "right": "pull_request:7018", + "accept": false, + "reason": "LoRA conversion logic for ControlNet and gradient-unscaling fixes in advanced LoRA training are different problems." + }, + { + "left": "pull_request:6147", + "right": "pull_request:7166", + "accept": false, + "reason": "Both touch SDXL LoRA loading, but one fixes single-file refiner loading and the other fixes DreamBooth checkpoint loading for text encoders; different code paths." + }, + { + "left": "pull_request:7295", + "right": "pull_request:9244", + "accept": false, + "reason": "A UNet single-file loader cleanup and Flux single-file support are not the same underlying change." + }, + { + "left": "pull_request:8631", + "right": "pull_request:8902", + "accept": false, + "reason": "Returning a created T5 model and sharded-checkpoint handling are unrelated loader fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 114, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10396", + "pull_request:10397", + "pull_request:10581", + "pull_request:10728", + "pull_request:10911", + "pull_request:11159", + "pull_request:11485", + "pull_request:11522", + "pull_request:11588", + "pull_request:11755", + "pull_request:12091", + "pull_request:12225", + "pull_request:12416", + "pull_request:12496", + "pull_request:1250", + "pull_request:12526", + "pull_request:12919", + "pull_request:12983", + "pull_request:12996", + "pull_request:13089", + "pull_request:13237", + "pull_request:2034", + "pull_request:243", + "pull_request:3850", + "pull_request:4408", + "pull_request:4481", + "pull_request:4498", + "pull_request:4774", + "pull_request:4795", + "pull_request:4847", + "pull_request:4862", + "pull_request:5915", + "pull_request:5922", + "pull_request:6197", + "pull_request:6864", + "pull_request:6884", + "pull_request:689", + "pull_request:7476", + "pull_request:8389", + "pull_request:8688", + "pull_request:8755", + "pull_request:8856", + "pull_request:8859", + "pull_request:9268", + "pull_request:9423", + "pull_request:9696", + "pull_request:9807" + ], + "soft_pairs": [ + "pull_request:8755|pull_request:9807", + "pull_request:10396|pull_request:10397", + "pull_request:1250|pull_request:243", + "pull_request:2034|pull_request:3850", + "pull_request:2034|pull_request:689", + "pull_request:4795|pull_request:6864", + "pull_request:8688|pull_request:8755", + "pull_request:12983|pull_request:13237", + "pull_request:7476|pull_request:8856", + "pull_request:7476|pull_request:8859", + "pull_request:11485|pull_request:12225", + "pull_request:10911|pull_request:11755", + "pull_request:12416|pull_request:13089", + "pull_request:4862|pull_request:5922", + "pull_request:9268|pull_request:9423", + "pull_request:4408|pull_request:4774", + "pull_request:8389|pull_request:9696", + "pull_request:4481|pull_request:4847", + "pull_request:4498|pull_request:6197", + "pull_request:5915|pull_request:6884", + "pull_request:11159|pull_request:11522", + "pull_request:11588|pull_request:12496", + "pull_request:12919|pull_request:12996", + "pull_request:10581|pull_request:10728", + "pull_request:12091|pull_request:12526" + ], + "prepared_review_unit_hash": "3140b907dcf03ef9ed49336ec779985d7dba849f6f2983b7d48039f9919db5de", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 101387, + "estimated_input_tokens": 25347, + "estimated_eval_tokens": 50950 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: it mixes unrelated feature additions, bug fixes, docs/tests, and model/pipeline integrations. 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Different bug surfaces." + }, + { + "left": "pull_request:12983", + "right": "pull_request:13237", + "accept": false, + "reason": "Both update single-file model support, but for different model families (LTX2 vs Flux.2 Klein). Not the same change." + }, + { + "left": "pull_request:7476", + "right": "pull_request:8856", + "accept": false, + "reason": "Different img2img bugs: one is multi-ControlNet torch.compile behavior, the other is batch duplication/error handling for image inputs." + }, + { + "left": "pull_request:7476", + "right": "pull_request:8859", + "accept": false, + "reason": "#8859 only changes AuraFlow defaults for compile compatibility; it does not fix the same multi-ControlNet bug as #7476." + }, + { + "left": "pull_request:11485", + "right": "pull_request:12225", + "accept": false, + "reason": "Both add pipelines, but for completely different models (Flex2 vs Qwen-Image-Edit inpainting). Not mergeable as one duplicate PR." + }, + { + "left": "pull_request:10911", + "right": "pull_request:11755", + "accept": false, + "reason": "Separate test fixes for different pipelines: Lumina2 LoRA fuse test vs LTX latent upscale CPU offload test." + }, + { + "left": "pull_request:12416", + "right": "pull_request:13089", + "accept": false, + "reason": "#12416 adds QwenImage Edit Plus modular support; #13089 adds a new guider and updates QwenImage modular pipeline. Related subsystem, different feature changes." + }, + { + "left": "pull_request:4862", + "right": "pull_request:5922", + "accept": false, + "reason": "Both affect image-conditioning paths, but one fixes SDXL ControlNet img2img shape handling and the other adjusts a community MultiAdapter inpainting example. Different code paths." + }, + { + "left": "pull_request:9268", + "right": "pull_request:9423", + "accept": false, + "reason": "Both are differential diffusion examples, but for different pipelines/models (Flux vs Kolors). Not the same concrete bug/change." + }, + { + "left": "pull_request:4408", + "right": "pull_request:4774", + "accept": false, + "reason": "SDXL from_single_file support and SDXL negative size/crop conditioning are distinct features." + }, + { + "left": "pull_request:8389", + "right": "pull_request:9696", + "accept": false, + "reason": "One fixes benchmarking workflow infra; the other updates PR test workflow inputs/validation. Different CI jobs and problems." + }, + { + "left": "pull_request:4481", + "right": "pull_request:4847", + "accept": false, + "reason": "EDM pipeline/scheduler implementation is unrelated to the Prompt Free Diffusion community example." + }, + { + "left": "pull_request:4498", + "right": "pull_request:6197", + "accept": false, + "reason": "SDXL reference/adain example support and DeepCache support are different community features, not the same underlying issue." + }, + { + "left": "pull_request:5915", + "right": "pull_request:6884", + "accept": false, + "reason": "IP-Adapter Plus support is a feature expansion; #6884 only tightens scale-length validation in set_ip_adapter_scale. Different changes." + }, + { + "left": "pull_request:11159", + "right": "pull_request:11522", + "accept": false, + "reason": "Quantization dtype handling in single-file loading is unrelated to the AudioLDM2 transformers-compatibility fix." + }, + { + "left": "pull_request:11588", + "right": "pull_request:12496", + "accept": false, + "reason": "Both involve WAN/LoRA-ish video paths, but one adds I2V LoRA support and the other fixes a condition shape mismatch. Not the same bug." + }, + { + "left": "pull_request:12919", + "right": "pull_request:12996", + "accept": false, + "reason": "#12919 adds an NPU attention backend path; #12996 adds Ulysses Anything Attention for distributed context parallelism. Different concrete implementations." + }, + { + "left": "pull_request:10581", + "right": "pull_request:10728", + "accept": false, + "reason": "Different IP-Adapter changes in different model families: SD3 inpaint support vs quantized Flux IP-Adapter handling." + }, + { + "left": "pull_request:12091", + "right": "pull_request:12526", + "accept": false, + "reason": "Entirely different additions: Dream 7B pipeline vs Wan2.2 Animate pipeline." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 115, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10005", + "pull_request:10099", + "pull_request:10102", + "pull_request:10109", + "pull_request:10115", + "pull_request:10179", + "pull_request:10183", + "pull_request:10188", + "pull_request:1020", + "pull_request:10205", + "pull_request:10220", + "pull_request:10278", + "pull_request:10332", + "pull_request:10364", + "pull_request:10517", + "pull_request:10648", + "pull_request:10783", + "pull_request:10977", + "pull_request:11025", + "pull_request:11271", + "pull_request:11292", + "pull_request:11439", + "pull_request:11546", + "pull_request:11595", + "pull_request:11804", + "pull_request:11823", + "pull_request:12040", + "pull_request:1221", + "pull_request:12737", + "pull_request:12988", + "pull_request:4632", + "pull_request:5057", + "pull_request:5127", + "pull_request:5185", + "pull_request:5417", + "pull_request:6464", + "pull_request:7550", + "pull_request:8675", + "pull_request:8679", + "pull_request:9175", + "pull_request:9268", + "pull_request:9367", + "pull_request:9445", + "pull_request:9507", + "pull_request:9597", + "pull_request:9683", + "pull_request:9843" + ], + "soft_pairs": [ + "pull_request:4632|pull_request:6464", + "pull_request:5057|pull_request:5127", + "pull_request:11546|pull_request:11804", + "pull_request:5185|pull_request:5417", + "pull_request:7550|pull_request:9268", + "pull_request:8679|pull_request:9597", + "pull_request:11823|pull_request:12040", + "pull_request:9367|pull_request:9507", + "pull_request:9175|pull_request:9445", + "pull_request:11025|pull_request:11823", + "pull_request:12737|pull_request:12988", + "pull_request:10005|pull_request:10332", + "pull_request:10005|pull_request:8675", + "pull_request:10099|pull_request:10977", + "pull_request:10102|pull_request:9843", + "pull_request:10109|pull_request:10648", + "pull_request:10115|pull_request:10783", + "pull_request:10115|pull_request:11439", + "pull_request:10179|pull_request:10278", + "pull_request:10179|pull_request:10517", + "pull_request:10183|pull_request:10364", + "pull_request:10183|pull_request:11271", + "pull_request:10188|pull_request:11595", + "pull_request:1020|pull_request:1221", + "pull_request:10205|pull_request:11292", + "pull_request:10220|pull_request:9683" + ], + "prepared_review_unit_hash": "5da0865dc55336edff42dfd3cf5ac164a293f4b66fb700d50cd3367f7713a232", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 94095, + "estimated_input_tokens": 23524, + "estimated_eval_tokens": 47304 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: mostly unrelated docs, tests, and feature PRs that only share broad keywords or subsystems. 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I rejected every soft edge.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:10491", + "right": "pull_request:9683", + "accept": false, + "reason": "Unrelated CI test fix vs. CogVideoX test rename/unskip; no shared bug or change." + }, + { + "left": "pull_request:10504", + "right": "pull_request:11355", + "accept": false, + "reason": "Both touch tests, but one removes prints and the other normalizes bnb test names/inputs; different changes." + }, + { + "left": "pull_request:10504", + "right": "pull_request:9598", + "accept": false, + "reason": "Generic test cleanup vs. Flux LoRA test note; different targets and problems." + }, + { + "left": "pull_request:10505", + "right": "pull_request:11355", + "accept": false, + "reason": "Same broad test-maintenance theme, but unrelated files and fixes." + }, + { + "left": "pull_request:10505", + "right": "pull_request:9598", + "accept": false, + "reason": "Removing test prints is not the same as documenting Flux LoRA integration test versions." + }, + { + "left": "pull_request:10531", + "right": "pull_request:10648", + "accept": false, + "reason": "Both are docs updates, but they cover different topics and code paths." + }, + { + "left": "pull_request:10531", + "right": "pull_request:10885", + "accept": false, + "reason": "Negative-prompt docs for Flux vs. adding CogVideoX scheduler docs; 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different work." + }, + { + "left": "pull_request:10648", + "right": "pull_request:11693", + "accept": false, + "reason": "Both are docs, but DDPM scheduler docs and bitsandbytes compile docs are unrelated." + }, + { + "left": "pull_request:10648", + "right": "pull_request:11731", + "accept": false, + "reason": "Different docs topics; no shared bug or implementation change." + }, + { + "left": "pull_request:10684", + "right": "pull_request:10802", + "accept": false, + "reason": "Input-check typo in HunyuanVideo vs. comment typo in controlnet training; unrelated." + }, + { + "left": "pull_request:10783", + "right": "pull_request:11439", + "accept": false, + "reason": "Different training-script bugs in different examples; not the same code-path problem." + }, + { + "left": "pull_request:10819", + "right": "pull_request:10885", + "accept": false, + "reason": "LoRA docs entries vs. CogVideoX scheduler docs; only both are documentation." + }, + { + "left": "pull_request:10819", + "right": "pull_request:11737", + "accept": false, + "reason": "Docs-only change vs. Hi-Dream distributed training code fix; unrelated." + }, + { + "left": "pull_request:10819", + "right": "pull_request:11768", + "accept": false, + "reason": "Docs entries vs. hook-removal loader bugfix; different artifacts and issues." + }, + { + "left": "pull_request:10845", + "right": "pull_request:10990", + "accept": false, + "reason": "Flux LoRA training bug fix vs. quantized Flux LoRA loader support; related domain but different concrete changes." + }, + { + "left": "pull_request:10858", + "right": "pull_request:9655", + "accept": false, + "reason": "Overview table fix vs. xDiT image path cleanup; both docs, but unrelated." + }, + { + "left": "pull_request:10885", + "right": "pull_request:11693", + "accept": false, + "reason": "Scheduler docs additions vs. bitsandbytes compile docs; no overlap beyond docs." + }, + { + "left": "pull_request:10938", + "right": "pull_request:11248", + "accept": false, + "reason": "Evaluation-guide tip vs. README image resize typo; unrelated documentation." + }, + { + "left": "pull_request:10938", + "right": "pull_request:11303", + "accept": false, + "reason": "Evaluation docs update vs. Allegro autoencoder docs fix; different doc pages and topics." + }, + { + "left": "pull_request:10938", + "right": "pull_request:12193", + "accept": false, + "reason": "Conceptual evaluation docs vs. Qwen README script-name fix; unrelated." + }, + { + "left": "pull_request:10938", + "right": "pull_request:9553", + "accept": false, + "reason": "Evaluation docs vs. distributed inference docs; both docs, but different content and intent." + }, + { + "left": "pull_request:10947", + "right": "pull_request:11550", + "accept": false, + "reason": "Both add single-file support, but for different models and code paths; not mergeable as one PR." + }, + { + "left": "pull_request:10975", + "right": "pull_request:10991", + "accept": false, + "reason": "Wan pipeline bugfix vs. Wan single-file support; same model family, but different concrete changes." + }, + { + "left": "pull_request:10977", + "right": "pull_request:11434", + "accept": false, + "reason": "Save/load component tests vs. import fix in common tests; unrelated test maintenance." + }, + { + "left": "pull_request:10977", + "right": "pull_request:9683", + "accept": false, + "reason": "Different test suites and different goals; no same underlying issue." + }, + { + "left": "pull_request:10978", + "right": "pull_request:9627", + "accept": false, + "reason": "LoRA loader bugfix vs. a test warning-order adjustment; not the same fix." + }, + { + "left": "pull_request:10991", + "right": "pull_request:11053", + "accept": false, + "reason": "Wan single-file support vs. Wan Video2Video pipeline feature; adjacent but distinct changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 118, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1103", + "pull_request:11037", + "pull_request:1104", + "pull_request:11113", + "pull_request:11204", + "pull_request:11212", + "pull_request:11248", + "pull_request:113", + "pull_request:11303", + "pull_request:11325", + "pull_request:11434", + "pull_request:11439", + "pull_request:1147", + "pull_request:11473", + "pull_request:11478", + "pull_request:11485", + "pull_request:11529", + "pull_request:11537", + "pull_request:11558", + "pull_request:1157", + "pull_request:11600", + "pull_request:11602", + "pull_request:11613", + "pull_request:11623", + "pull_request:11634", + "pull_request:11697", + "pull_request:11740", + "pull_request:11789", + "pull_request:11953", + "pull_request:11954", + "pull_request:11979", + "pull_request:11983", + "pull_request:12070", + "pull_request:12193", + "pull_request:12228", + "pull_request:12259", + "pull_request:12343", + "pull_request:12487", + "pull_request:12552", + "pull_request:1311", + "pull_request:169", + "pull_request:2479", + "pull_request:400", + "pull_request:60", + "pull_request:848", + "pull_request:9646", + "pull_request:9754" + ], + "soft_pairs": [ + "pull_request:1103|pull_request:60", + "pull_request:11037|pull_request:11740", + "pull_request:11037|pull_request:11953", + "pull_request:1104|pull_request:1311", + "pull_request:11113|pull_request:9646", + "pull_request:11204|pull_request:9754", + "pull_request:11212|pull_request:11634", + "pull_request:11248|pull_request:11303", + "pull_request:11248|pull_request:12193", + "pull_request:113|pull_request:169", + "pull_request:113|pull_request:400", + "pull_request:11303|pull_request:12193", + "pull_request:11325|pull_request:12259", + "pull_request:11434|pull_request:11789", + "pull_request:11434|pull_request:12070", + "pull_request:11439|pull_request:11600", + "pull_request:11439|pull_request:12343", + "pull_request:1147|pull_request:2479", + "pull_request:11473|pull_request:11623", + "pull_request:11473|pull_request:11634", + "pull_request:11473|pull_request:12487", + "pull_request:11473|pull_request:12552", + "pull_request:11478|pull_request:11953", + "pull_request:11485|pull_request:11602", + "pull_request:11529|pull_request:11983", + "pull_request:11537|pull_request:11697", + "pull_request:11558|pull_request:11954", + "pull_request:1157|pull_request:848", + "pull_request:11600|pull_request:12228", + "pull_request:11613|pull_request:11979" + ], + "prepared_review_unit_hash": "85933fe7e6e6146e12333d22d59bd8186020a8f87cd90b430841eb11ad660c80", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 30, + "serialized_chars": 93908, + "estimated_input_tokens": 23477, + "estimated_eval_tokens": 47210 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated docs updates, test-only tweaks, CI changes, and distinct feature/bugfix PRs across different subsystems. I do not see a single underlying bug or change that would make these duplicates of each other.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:1103", + "right": "pull_request:60", + "accept": false, + "reason": "Unrelated fixes in different areas: a README URL typo vs. an old scheduler initialization change." + }, + { + "left": "pull_request:11037", + "right": "pull_request:11740", + "accept": false, + "reason": "Different test/CI work: peft dependency handling in nightly tests vs. adding GGUF compile/offload tests." + }, + { + "left": "pull_request:11037", + "right": "pull_request:11953", + "accept": false, + "reason": "Different test concerns: dependency setup for bnb CI vs. adding HiDream fast test slices." + }, + { + "left": "pull_request:1104", + "right": "pull_request:1311", + "accept": false, + "reason": "Different changes: slow MPS CI coverage vs. AltDiffusion tests and dependency updates." + }, + { + "left": "pull_request:11113", + "right": "pull_request:9646", + "accept": false, + "reason": "AutoencoderKL training bugfix is unrelated to Flux Dreambooth LoRA target-module configuration." + }, + { + "left": "pull_request:11204", + "right": "pull_request:9754", + "accept": false, + "reason": "PyTorch/XLA SDXL training support is unrelated to Flux LoRA quantization training scripts." + }, + { + "left": "pull_request:11212", + "right": "pull_request:11634", + "accept": false, + "reason": "Both are docs-only, but they fix different MPS/torchao documentation content and are not the same change." + }, + { + "left": "pull_request:11248", + "right": "pull_request:11303", + "accept": false, + "reason": "Flux ControlNet README typo fix is unrelated to autoencoderkl_allegro docs correction." + }, + { + "left": "pull_request:11248", + "right": "pull_request:12193", + "accept": false, + "reason": "README_flux typo fix and Qwen Dreambooth README path update are unrelated documentation edits." + }, + { + "left": "pull_request:113", + "right": "pull_request:169", + "accept": false, + "reason": "Different scheduler work: SDE-VE initialization fix vs. a JAXification pass on PNDM." + }, + { + "left": "pull_request:113", + "right": "pull_request:400", + "accept": false, + "reason": "Different scheduler/pipeline documentation refactor; no shared concrete bug or change." + }, + { + "left": "pull_request:11303", + "right": "pull_request:12193", + "accept": false, + "reason": "Different model docs: autoencoderkl_allegro snippet correction vs. Qwen README script-name fix." + }, + { + "left": "pull_request:11325", + "right": "pull_request:12259", + "accept": false, + "reason": "HiDream docstring injection is unrelated to distributed inference VAE scale-factor documentation." + }, + { + "left": "pull_request:11434", + "right": "pull_request:11789", + "accept": false, + "reason": "Import cleanup for model tests vs. HunyuanVideo Framepack device-test adjustments; different underlying issues." + }, + { + "left": "pull_request:11434", + "right": "pull_request:12070", + "accept": false, + "reason": "Generic test import fix is unrelated to Qwen image test slice updates." + }, + { + "left": "pull_request:11439", + "right": "pull_request:11600", + "accept": false, + "reason": "Hi-Dream validation bugfix is unrelated to CI filename renaming for LoRA failure reports." + }, + { + "left": "pull_request:11439", + "right": "pull_request:12343", + "accept": false, + "reason": "Different bugs in different code paths: validation cleanup vs. VAE slicing decode behavior." + }, + { + "left": "pull_request:1147", + "right": "pull_request:2479", + "accept": false, + "reason": "Flax subfolder text-encoder loading fix is unrelated to adding LoRA support for the CLIP text encoder." + }, + { + "left": "pull_request:11473", + "right": "pull_request:11623", + "accept": false, + "reason": "Both touch docs, but one is a torchao fp8 quantization typo fix and the other is a Flux pipeline wording typo." + }, + { + "left": "pull_request:11473", + "right": "pull_request:11634", + "accept": false, + "reason": "Same docs file family, but these are different torchao doc edits: fp8 naming vs. external link wording." + }, + { + "left": "pull_request:11473", + "right": "pull_request:12487", + "accept": false, + "reason": "torchao quantization typo fix is unrelated to a broad broken-links docs sweep." + }, + { + "left": "pull_request:11473", + "right": "pull_request:12552", + "accept": false, + "reason": "Different documentation typos in different topics; not the same change." + }, + { + "left": "pull_request:11478", + "right": "pull_request:11953", + "accept": false, + "reason": "HiDream transformer test enablement is unrelated to HiDream-Image fast slice tests." + }, + { + "left": "pull_request:11485", + "right": "pull_request:11602", + "accept": false, + "reason": "Both add pipeline-related code, but they are different pipelines and different features: Flex.2 vs. Sana Sprint img2img." + }, + { + "left": "pull_request:11529", + "right": "pull_request:11983", + "accept": false, + "reason": "Empty docs update vs. installation.md command correction are not the same underlying change." + }, + { + "left": "pull_request:11537", + "right": "pull_request:11697", + "accept": false, + "reason": "UNet torch.compile test addition is unrelated to quantization compile/offloading test coverage." + }, + { + "left": "pull_request:11558", + "right": "pull_request:11954", + "accept": false, + "reason": "Different test families and targets: group offloading/layerwise casting vs. Hunyuan Video slice-based regression tests." + }, + { + "left": "pull_request:1157", + "right": "pull_request:848", + "accept": false, + "reason": "Flax report_to/push_to_hub fix is unrelated to a Stable Diffusion Flax width/height bugfix." + }, + { + "left": "pull_request:11600", + "right": "pull_request:12228", + "accept": false, + "reason": "CI report filename correction is unrelated to a LoRA tutorial typo and formatting fix." + }, + { + "left": "pull_request:11613", + "right": "pull_request:11979", + "accept": false, + "reason": "Torch.compile CI revert is unrelated to adding version guards in compile-related test mixins." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 119, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1162", + "pull_request:11634", + "pull_request:1167", + "pull_request:1169", + "pull_request:1171", + "pull_request:11715", + "pull_request:1173", + "pull_request:11847", + "pull_request:1186", + "pull_request:1187", + "pull_request:11953", + "pull_request:11979", + "pull_request:11983", + "pull_request:120", + "pull_request:12018", + "pull_request:12070", + "pull_request:1211", + "pull_request:12129", + "pull_request:1218", + "pull_request:12193", + "pull_request:12197", + "pull_request:1221", + "pull_request:12228", + "pull_request:12247", + "pull_request:12259", + "pull_request:1227", + "pull_request:12360", + "pull_request:12675", + "pull_request:12775", + "pull_request:12827", + "pull_request:12883", + "pull_request:12890", + "pull_request:12902", + "pull_request:12980", + "pull_request:1360", + "pull_request:1416", + "pull_request:1487", + "pull_request:154", + "pull_request:16", + "pull_request:1601", + "pull_request:1960", + "pull_request:2433", + "pull_request:2764", + "pull_request:3132", + "pull_request:41", + "pull_request:848", + "pull_request:925" + ], + "soft_pairs": [ + "pull_request:1162|pull_request:1360", + "pull_request:1162|pull_request:925", + "pull_request:11634|pull_request:12018", + "pull_request:1167|pull_request:120", + "pull_request:1169|pull_request:1601", + "pull_request:1171|pull_request:3132", + "pull_request:11715|pull_request:11979", + "pull_request:1173|pull_request:1416", + "pull_request:11847|pull_request:12259", + "pull_request:1186|pull_request:848", + "pull_request:1187|pull_request:848", + "pull_request:11953|pull_request:12070", + "pull_request:11953|pull_request:12775", + "pull_request:11983|pull_request:12827", + "pull_request:120|pull_request:16", + "pull_request:120|pull_request:1960", + "pull_request:12018|pull_request:12902", + "pull_request:1211|pull_request:41", + "pull_request:12129|pull_request:12228", + "pull_request:12129|pull_request:12675", + "pull_request:1218|pull_request:154", + "pull_request:12193|pull_request:12890", + "pull_request:12197|pull_request:12775", + "pull_request:1221|pull_request:2764", + "pull_request:12228|pull_request:12675", + "pull_request:12247|pull_request:12980", + "pull_request:12259|pull_request:12360", + "pull_request:12259|pull_request:12883", + "pull_request:1227|pull_request:1487", + "pull_request:1227|pull_request:2433" + ], + "prepared_review_unit_hash": "fd7d9ea9c789d099669c0a3e358523b42f833ba9017950e5c5cfeed104e032ba", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 30, + "serialized_chars": 92860, + "estimated_input_tokens": 23215, + "estimated_eval_tokens": 46686 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is a loose grab-bag of mostly unrelated documentation tweaks, typo fixes, and a few small code/test changes. I do not see any soft pair that clearly reflects the same underlying bug or change, so all soft edges should be rejected.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No issue target exists. If a PR must be nominated, pull_request:1173 is the strongest representative because it is a substantive ONNX bugfix with explicit issue targets and coordinated code/test changes.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:1173 is the best standalone PR in the set: it addresses a concrete ONNX pipeline/conversion problem, touches several related files, and has explicit issue links. 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"left": "pull_request:3525", + "right": "pull_request:4258", + "accept": false, + "reason": "README showcase edits and an SDXL DreamBooth note rewrite are unrelated docs changes." + }, + { + "left": "pull_request:3549", + "right": "pull_request:5844", + "accept": false, + "reason": "Open Parti prompts docs and a Japanese SDXL reference example are different documentation additions." + }, + { + "left": "pull_request:3563", + "right": "pull_request:3690", + "accept": false, + "reason": "A UNet block conditioning fix and a Kandinsky example update address different code paths." + }, + { + "left": "pull_request:3568", + "right": "pull_request:4626", + "accept": false, + "reason": "Both fix broken links, but they target different docs pages and different link destinations, so they are not the same change." + }, + { + "left": "pull_request:3577", + "right": "pull_request:5411", + "accept": false, + "reason": "README link updates and textual inversion inference doc links are separate 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Similar naming only, not the same implementation." + }, + { + "left": "pull_request:10122", + "right": "pull_request:9257", + "accept": false, + "reason": "Flux attention-mask plumbing and Flux DreamBooth prompt tokenization are distinct fixes in different parts of the model/training flow." + }, + { + "left": "pull_request:1527", + "right": "pull_request:3298", + "accept": false, + "reason": "Stable Diffusion inpaint tensor-input support and arbitrary aspect ratio in DeepFloyd IF super-resolution are unrelated pipeline changes." + }, + { + "left": "pull_request:1564", + "right": "pull_request:3042", + "accept": false, + "reason": "DreamBooth README accelerate-config docs versus pinning accelerate minimum versions across example requirements; same tooling, different change." + }, + { + "left": "pull_request:5188", + "right": "pull_request:5393", + "accept": false, + "reason": "Adding compute_snr to training utils and updating docs to use HFApi are unrelated example/docs changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 133, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10132", + "pull_request:10148", + "pull_request:10197", + "pull_request:10200", + "pull_request:10271", + "pull_request:10370", + "pull_request:10547", + "pull_request:10554", + "pull_request:10597", + "pull_request:10850", + "pull_request:11052", + "pull_request:1137", + "pull_request:11588", + "pull_request:11639", + "pull_request:11813", + "pull_request:11818", + "pull_request:12062", + "pull_request:1219", + "pull_request:12360", + "pull_request:12450", + "pull_request:12637", + "pull_request:12797", + "pull_request:13146", + "pull_request:1424", + "pull_request:1468", + "pull_request:1527", + "pull_request:159", + "pull_request:1945", + "pull_request:1967", + "pull_request:2327", + "pull_request:2655", + "pull_request:3168", + "pull_request:397", + "pull_request:415", + "pull_request:718", + "pull_request:7634", + "pull_request:7893", + "pull_request:8404", + "pull_request:8702", + "pull_request:8722", + "pull_request:8978", + "pull_request:9077", + "pull_request:9426", + "pull_request:9524", + "pull_request:9721", + "pull_request:9739", + "pull_request:9987" + ], + "soft_pairs": [ + "pull_request:7634|pull_request:8404", + "pull_request:7893|pull_request:9721", + "pull_request:11588|pull_request:11639", + "pull_request:10132|pull_request:9426", + "pull_request:10597|pull_request:9987", + "pull_request:10148|pull_request:8702", + "pull_request:10197|pull_request:8978", + "pull_request:10200|pull_request:8722", + "pull_request:10271|pull_request:9524", + "pull_request:10370|pull_request:10850", + "pull_request:10547|pull_request:11052", + "pull_request:10554|pull_request:9077", + "pull_request:10554|pull_request:9739", + "pull_request:1137|pull_request:1527", + "pull_request:11813|pull_request:11818", + "pull_request:12062|pull_request:12450", + "pull_request:1219|pull_request:397", + "pull_request:1219|pull_request:415", + "pull_request:12360|pull_request:12797", + "pull_request:12637|pull_request:13146", + "pull_request:1424|pull_request:397", + "pull_request:1424|pull_request:415", + "pull_request:1468|pull_request:2655", + "pull_request:159|pull_request:718", + "pull_request:1945|pull_request:2327", + "pull_request:1967|pull_request:3168" + ], + "prepared_review_unit_hash": "06a991b1f6b2ec38740e85d208a7741964d3d70c7fbf9443020015f73344c1af", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 101627, + "estimated_input_tokens": 25407, + "estimated_eval_tokens": 51070 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: it mixes unrelated PRs across docs, CI, model features, and tests. I found no true duplicate pair among the soft edges, so all should be rejected.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8404 is the strongest single representative in the set: it is a large, merged feature PR with extensive review and clear end-user impact, whereas the others are mostly isolated fixes or unrelated changes.", + "best_issue_reason": null, + "best_pr_reason": "PR 8404 best fits as a representative PR because it is substantive, fully merged, and well-reviewed; it is the clearest 'mainline' artifact among otherwise unrelated entries.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7634", + "right": "pull_request:8404", + "accept": false, + "reason": "Different changes: high-res fix for SD UNet vs adding Latte video-generation support. Shared file is only an import registry and does not indicate the same bug/change." + }, + { + "left": "pull_request:7893", + "right": "pull_request:9721", + "accept": false, + "reason": "Both touch Dockerfiles, but one upgrades Python 3.10 in images while the other pins torch versions. Different infrastructure concerns and not the same change." + }, + { + "left": "pull_request:11588", + "right": "pull_request:11639", + "accept": false, + "reason": "Both are Wan-related, but one adds LoRA I2V support and the other standardizes VAE sampling in video-to-video. Different code paths and bug fixes." + }, + { + "left": "pull_request:10132", + "right": "pull_request:9426", + "accept": false, + "reason": "Both affect CI workflows, but one updates tokenizers for a specific backend test while the other upgrades the artifact uploader across workflows. Not the same underlying fix." + }, + { + "left": "pull_request:10597", + "right": "pull_request:9987", + "accept": false, + "reason": "The shared Stable Diffusion 3 docs file is not enough; one is a docs link/model-id update, the other is SD3.5 IP-Adapter integration code and tests." + }, + { + "left": "pull_request:10148", + "right": "pull_request:8702", + "accept": false, + "reason": "OmniGen feature addition and SD3 conversion script are unrelated model/pipeline changes with no shared code path." + }, + { + "left": "pull_request:10197", + "right": "pull_request:8978", + "accept": false, + "reason": "Both are broad update PRs, but they change different CI/doc/example areas and do not fix the same bug or implement the same feature." + }, + { + "left": "pull_request:10200", + "right": "pull_request:8722", + "accept": false, + "reason": "ControlNet Union refactor and embeddings refactor are separate internal codebase refactors with no common concrete change." + }, + { + "left": "pull_request:10271", + "right": "pull_request:9524", + "accept": false, + "reason": "TorchAO serialization test refactor and CogVideoX VAE conv_cache removal are unrelated; one is test restructuring, the other is model implementation cleanup." + }, + { + "left": "pull_request:10370", + "right": "pull_request:10850", + "accept": false, + "reason": "A TorchAO style/compatibility change is unrelated to adding helper utilities for diffusers hooks." + }, + { + "left": "pull_request:10547", + "right": "pull_request:11052", + "accept": false, + "reason": "These are both test-related, but they cover different models and different gating conditions; not the same concrete issue." + }, + { + "left": "pull_request:10554", + "right": "pull_request:9077", + "accept": false, + "reason": "One fixes an SD3 LoRA example bug, the other is a typo/docs cleanup PR. No shared underlying issue." + }, + { + "left": "pull_request:10554", + "right": "pull_request:9739", + "accept": false, + "reason": "The SD3 LoRA example bug fix is unrelated to the SD3 docs/model-id update." + }, + { + "left": "pull_request:1137", + "right": "pull_request:1527", + "accept": false, + "reason": "Both touch inpaint, but one fixes legacy safety-checker dtype handling while the other expands image/mask input types. Different bugs and code paths." + }, + { + "left": "pull_request:11813", + "right": "pull_request:11818", + "accept": false, + "reason": "Same broader Flux/Kontext area, but one is training/docs for Kontext while the other removes denoising-loop syncs in inference. Not mergeable as one PR." + }, + { + "left": "pull_request:12062", + "right": "pull_request:12450", + "accept": false, + "reason": "Both are CI updates, but one enables all GPUs and the other revisits installation steps and dependency setup. Distinct changes." + }, + { + "left": "pull_request:1219", + "right": "pull_request:397", + "accept": false, + "reason": "Different docs scopes: DDIM docs versus Quicktour. No shared underlying issue." + }, + { + "left": "pull_request:1219", + "right": "pull_request:415", + "accept": false, + "reason": "Different documentation updates for unrelated sections; not duplicates." + }, + { + "left": "pull_request:12360", + "right": "pull_request:12797", + "accept": false, + "reason": "Both are docs PRs, but for different models and unrelated content changes." + }, + { + "left": "pull_request:12637", + "right": "pull_request:13146", + "accept": false, + "reason": "One is a copy/comment cleanup, the other changes tokenizer typing in PAG HunYuanDiT. Not the same fix." + }, + { + "left": "pull_request:1424", + "right": "pull_request:397", + "accept": false, + "reason": "SD2 docs and Quicktour are unrelated documentation additions." + }, + { + "left": "pull_request:1424", + "right": "pull_request:415", + "accept": false, + "reason": "SD2 docs and Training docs are unrelated documentation additions." + }, + { + "left": "pull_request:1468", + "right": "pull_request:2655", + "accept": false, + "reason": "Saving trained betas in schedulers and LoRA save/load fixes are separate serialization/loading topics with different code paths." + }, + { + "left": "pull_request:159", + "right": "pull_request:718", + "accept": false, + "reason": "Both are typo cleanups, but they address different files and text; not the same underlying bug." + }, + { + "left": "pull_request:1945", + "right": "pull_request:2327", + "accept": false, + "reason": "One adds 2D UNet block tests, the other adds input-length validation to UNet constructors. Different changes." + }, + { + "left": "pull_request:1967", + "right": "pull_request:3168", + "accept": false, + "reason": "A CPU offload example tweak and a doc-builder WIP PR are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 134, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1982", + "pull_request:2138", + "pull_request:2271", + "pull_request:2322", + "pull_request:2345", + "pull_request:2398", + "pull_request:2553", + "pull_request:2759", + "pull_request:3003", + "pull_request:3006", + "pull_request:3262", + "pull_request:3292", + "pull_request:3400", + "pull_request:3536", + "pull_request:3607", + "pull_request:3637", + "pull_request:3642", + "pull_request:3653", + "pull_request:3766", + "pull_request:386", + "pull_request:388", + "pull_request:390", + "pull_request:3916", + "pull_request:3957", + "pull_request:397", + "pull_request:402", + "pull_request:404", + "pull_request:415", + "pull_request:417", + "pull_request:418", + "pull_request:4187", + "pull_request:4239", + "pull_request:4294", + "pull_request:4347", + "pull_request:453", + "pull_request:4887", + "pull_request:531", + "pull_request:555", + "pull_request:5622", + "pull_request:5707", + "pull_request:5754", + "pull_request:5895", + "pull_request:5916", + "pull_request:6405", + "pull_request:6410", + "pull_request:774", + "pull_request:909" + ], + "soft_pairs": [ + "pull_request:1982|pull_request:531", + "pull_request:2138|pull_request:4239", + "pull_request:2271|pull_request:3400", + "pull_request:2322|pull_request:3262", + "pull_request:2345|pull_request:4187", + "pull_request:2398|pull_request:4187", + "pull_request:2553|pull_request:555", + "pull_request:2759|pull_request:774", + "pull_request:2759|pull_request:909", + "pull_request:3003|pull_request:3006", + "pull_request:3292|pull_request:3536", + "pull_request:3607|pull_request:5754", + "pull_request:3637|pull_request:3916", + "pull_request:3642|pull_request:5895", + "pull_request:3653|pull_request:5622", + "pull_request:3766|pull_request:4887", + "pull_request:386|pull_request:390", + "pull_request:388|pull_request:404", + "pull_request:388|pull_request:417", + "pull_request:3957|pull_request:6405", + "pull_request:397|pull_request:415", + "pull_request:397|pull_request:418", + "pull_request:402|pull_request:453", + "pull_request:415|pull_request:418", + "pull_request:4239|pull_request:6410", + "pull_request:4294|pull_request:5916", + "pull_request:4347|pull_request:5707" + ], + "prepared_review_unit_hash": "51e24ee9fc2788b12d960b0ab08c5cce0fc8746b5ac8d6173b0a428dc018fc79", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 27, + "serialized_chars": 100947, + "estimated_input_tokens": 25237, + "estimated_eval_tokens": 50730 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set. It mixes unrelated docs, tests, example scripts, scheduler bug fixes, and feature PRs across many subsystems. None of the soft edges should be accepted.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the cluster is too heterogeneous, with unrelated changes spanning docs, tests, examples, schedulers, and major feature work.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good global representative. If forced, 5895 is the most substantial core change, but it is not actually duplicate-equivalent to the rest of the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1982", + "right": "pull_request:531", + "accept": false, + "reason": "Different test areas and failures: example script path fix vs GPU attention test expectations." + }, + { + "left": "pull_request:2138", + "right": "pull_request:4239", + "accept": false, + "reason": "A typo/doc edit is unrelated to an SDXL text-encoder code fix." + }, + { + "left": "pull_request:2271", + "right": "pull_request:3400", + "accept": false, + "reason": "Both are test-related only in the broad sense; one fixes slow test baselines, the other adds a dependency." + }, + { + "left": "pull_request:2322", + "right": "pull_request:3262", + "accept": false, + "reason": "Unrelated changes: example/inpainting and textual inversion updates versus IF model renaming/docs." + }, + { + "left": "pull_request:2345", + "right": 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a broad optimization/examples refactor." + }, + { + "left": "pull_request:3766", + "right": "pull_request:4887", + "accept": false, + "reason": "Kandinsky conversion-script updates and removing a latent input from a pipeline are different code paths." + }, + { + "left": "pull_request:386", + "right": "pull_request:390", + "accept": false, + "reason": "Both are docs, but they cover different topics and pages." + }, + { + "left": "pull_request:388", + "right": "pull_request:404", + "accept": false, + "reason": "Unconditional latent diffusion docs are unrelated to fp16 optimization docs." + }, + { + "left": "pull_request:388", + "right": "pull_request:417", + "accept": false, + "reason": "Latent diffusion docs and pipeline usage docs are separate documentation changes." + }, + { + "left": "pull_request:3957", + "right": "pull_request:6405", + "accept": false, + "reason": "A UNet attention-name correction is unrelated to a doc-builder workflow tweak." + }, + { + "left": "pull_request:397", + "right": "pull_request:415", + "accept": false, + "reason": "Quicktour docs and training docs are distinct documentation sections." + }, + { + "left": "pull_request:397", + "right": "pull_request:418", + "accept": false, + "reason": "Quicktour and DiffusionPipeline API docs are different pages, not the same edit." + }, + { + "left": "pull_request:402", + "right": "pull_request:453", + "accept": false, + "reason": "Intro-section TOC/doc overhaul is unrelated to a small installation typo fix." + }, + { + "left": "pull_request:415", + "right": "pull_request:418", + "accept": false, + "reason": "Training docs and DiffusionPipeline API docs are not the same underlying documentation change." + }, + { + "left": "pull_request:4239", + "right": "pull_request:6410", + "accept": false, + "reason": "A text-encoder-related SDXL fix is unrelated to an RL value-guided sampling registration fix." + }, + { + "left": "pull_request:4294", + "right": "pull_request:5916", + "accept": false, + "reason": "SDXL checkpoint renaming is unrelated to renaming a dreambooth output directory default." + }, + { + "left": "pull_request:4347", + "right": "pull_request:5707", + "accept": false, + "reason": "A scheduler step-index refactor and LCM test additions are different changes with different goals." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 135, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1038", + "pull_request:10454", + "pull_request:10482", + "pull_request:11273", + "pull_request:11433", + "pull_request:11469", + "pull_request:1147", + "pull_request:11516", + "pull_request:12021", + "pull_request:12530", + "pull_request:1527", + "pull_request:1554", + "pull_request:1913", + "pull_request:1968", + "pull_request:3160", + "pull_request:3476", + "pull_request:3589", + "pull_request:5111", + "pull_request:5552", + "pull_request:6007", + "pull_request:6140", + "pull_request:6150", + "pull_request:6215", + "pull_request:6229", + "pull_request:6484", + "pull_request:6643", + "pull_request:6754", + "pull_request:6765", + "pull_request:6766", + "pull_request:6767", + "pull_request:6768", + "pull_request:6800", + "pull_request:6864", + "pull_request:6999", + "pull_request:7247", + "pull_request:7627", + "pull_request:7632", + "pull_request:7941", + "pull_request:8322", + "pull_request:8386", + "pull_request:8478", + "pull_request:8572", + "pull_request:8696", + "pull_request:8978", + "pull_request:8990", + "pull_request:9506", + "pull_request:9601", + "pull_request:9620" + ], + "soft_pairs": [ + "pull_request:5552|pull_request:6150", + "pull_request:6007|pull_request:6864", + "pull_request:6140|pull_request:6643", + "pull_request:6215|pull_request:8386", + "pull_request:6754|pull_request:8978", + "pull_request:6765|pull_request:8978", + "pull_request:6766|pull_request:8978", + "pull_request:6767|pull_request:8978", + "pull_request:6768|pull_request:8978", + "pull_request:6800|pull_request:8990", + "pull_request:7247|pull_request:8696", + "pull_request:7627|pull_request:9506", + "pull_request:8322|pull_request:8572", + "pull_request:8478|pull_request:9620", + "pull_request:3160|pull_request:3476", + "pull_request:10454|pull_request:10482", + "pull_request:11516|pull_request:12021", + "pull_request:1038|pull_request:1147", + "pull_request:11469|pull_request:12530", + "pull_request:6484|pull_request:6999", + "pull_request:6229|pull_request:7941", + "pull_request:7632|pull_request:9601", + "pull_request:11273|pull_request:11433", + "pull_request:1527|pull_request:1913", + "pull_request:1554|pull_request:1968", + "pull_request:3589|pull_request:5111" + ], + "prepared_review_unit_hash": "6322b16064971804fa3f4e60e36d83c80648330117b846b4437d718918aaac23", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 100829, + "estimated_input_tokens": 25208, + "estimated_eval_tokens": 50672 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a grab bag of unrelated PRs across docs, tests, schedulers, loaders, and pipelines. The only clearly duplicate-like pair is the two HunyuanVideo attention-mask fixes; everything else is a false positive on broad subsystem similarity.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR exists for the full cluster; the only real duplicate pair is pull_request:10454 / pull_request:10482, and 10482 is the more complete HunyuanVideo attention-mask fix.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:10482 is the best representative among the near-duplicate pair because it makes the same HunyuanVideo attention-mask correction more completely and directly addresses the NaN failure path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5552", + "right": "pull_request:6150", + "accept": false, + "reason": "Unrelated changes: FreeU disable bugfix vs IP-Adapter conversion support in loaders." + }, + { + "left": "pull_request:6007", + "right": "pull_request:6864", + "accept": false, + "reason": "Both are docs-only, but they address different topics: copied-from mechanism vs torch.compile/LoRA guidance." + }, + { + "left": "pull_request:6140", + "right": "pull_request:6643", + "accept": false, + "reason": "Shared docs/toctree edits only; IP-Adapter API docs and UViT2D docs are different additions." + }, + { + "left": "pull_request:6215", + "right": "pull_request:8386", + "accept": false, + "reason": "Different test maintenance work: PixArt seed/init stabilization vs broad output_shape refactor." + }, + { + "left": "pull_request:6754", + "right": "pull_request:8978", + "accept": false, + "reason": "Different changesets and purposes: DPO loss fix vs a large notebook/example update." + }, + { + "left": "pull_request:6765", + "right": "pull_request:8978", + "accept": false, + "reason": "Hub cache path cleanup and example/notebook update are unrelated." + }, + { + "left": "pull_request:6766", + "right": "pull_request:8978", + "accept": false, + "reason": "Constants path handling and example/notebook update are unrelated." + }, + { + "left": "pull_request:6767", + "right": "pull_request:8978", + "accept": false, + "reason": "Flax pretrained-path handling and example/notebook update are unrelated." + }, + { + "left": "pull_request:6768", + "right": "pull_request:8978", + "accept": false, + "reason": "Config path handling and example/notebook update are unrelated." + }, + { + "left": "pull_request:6800", + "right": "pull_request:8990", + "accept": false, + "reason": "Import/util availability helper vs adding a PAG ControlNet pipeline; no shared bug or code path." + }, + { + "left": "pull_request:7247", + "right": "pull_request:8696", + "accept": false, + "reason": "Test config checking fix vs Marigold flakiness annotations; different test failures." + }, + { + "left": "pull_request:7627", + "right": "pull_request:9506", + "accept": false, + "reason": "Playground img2img latents handling vs unrelated docs cleanup; no same underlying fix." + }, + { + "left": "pull_request:8322", + "right": "pull_request:8572", + "accept": false, + "reason": "Both are errata-style PRs, but they touch different files and different edits; not the same concrete change." + }, + { + "left": "pull_request:8478", + "right": "pull_request:9620", + "accept": false, + "reason": "HunyuanDiT ControlNet addition vs ControlNet interrupt support are different features and code paths." + }, + { + "left": "pull_request:3160", + "right": "pull_request:3476", + "accept": false, + "reason": "Same broad Karras-sigmas theme, but they modify different scheduler classes and are separate feature additions." + }, + { + "left": "pull_request:10454", + "right": "pull_request:10482", + "accept": true, + "reason": "Both fix the same HunyuanVideo attention-mask code path in the same file; 10482 is a fuller version of the same shape/NaN fix." + }, + { + "left": "pull_request:11516", + "right": "pull_request:12021", + "accept": false, + "reason": "LTX Video release/versioning work vs later attention-backend support in the LTX transformer; different concrete changes." + }, + { + "left": "pull_request:1038", + "right": "pull_request:1147", + "accept": false, + "reason": "Both Flax example PRs, but one fixes dtype and the other fixes text-encoder loading; different bugs." + }, + { + "left": "pull_request:11469", + "right": "pull_request:12530", + "accept": false, + "reason": "Different flaky-test work on different pipelines and versions; not the same failing test or root cause." + }, + { + "left": "pull_request:6484", + "right": "pull_request:6999", + "accept": false, + "reason": "Both touch Stable Video Diffusion, but they address different bugs: GPU generator support vs tensor image preprocessing." + }, + { + "left": "pull_request:6229", + "right": "pull_request:7941", + "accept": false, + "reason": "Test CI dependency addition vs marking a test class slow; unrelated maintenance changes." + }, + { + "left": "pull_request:7632", + "right": "pull_request:9601", + "accept": false, + "reason": "DreamBooth VAE path/loading fix vs SD3 training VAE dtype control; not the same bug." + }, + { + "left": "pull_request:11273", + "right": "pull_request:11433", + "accept": false, + "reason": "Release notification timeout cleanup vs test decorator rename; unrelated." + }, + { + "left": "pull_request:1527", + "right": "pull_request:1913", + "accept": false, + "reason": "Stable Diffusion inpaint tensor-input support vs img2img input validation; different pipeline behaviors." + }, + { + "left": "pull_request:1554", + "right": "pull_request:1968", + "accept": false, + "reason": "Docs correction for UNet/Versatile Diffusion vs CPU offload behavior update; not the same change." + }, + { + "left": "pull_request:3589", + "right": "pull_request:5111", + "accept": false, + "reason": "Both mention Karras or reference tricks, but one is community README examples and the other adds scheduler support; different code paths and scope." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet, and the soft-edge decisions are appropriately conservative. The only accepted pair, pull_request:10454 / pull_request:10482, is plausibly the same HunyuanVideo attention-mask bugfix and mergeable into one PR. The rest are correctly treated as false positives from broad subsystem similarity." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 136, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10021", + "pull_request:10086", + "pull_request:10966", + "pull_request:10968", + "pull_request:11089", + "pull_request:11243", + "pull_request:11366", + "pull_request:11614", + "pull_request:11841", + "pull_request:1229", + "pull_request:12315", + "pull_request:12450", + "pull_request:12493", + "pull_request:1468", + "pull_request:152", + "pull_request:1913", + "pull_request:1945", + "pull_request:2706", + "pull_request:2928", + "pull_request:2959", + "pull_request:2968", + "pull_request:3037", + "pull_request:3298", + "pull_request:3499", + "pull_request:3536", + "pull_request:3632", + "pull_request:3798", + "pull_request:4451", + "pull_request:4855", + "pull_request:5035", + "pull_request:5788", + "pull_request:5792", + "pull_request:5946", + "pull_request:5948", + "pull_request:6261", + "pull_request:6432", + "pull_request:6448", + "pull_request:6904", + "pull_request:7044", + "pull_request:7068", + "pull_request:7277", + "pull_request:7455", + "pull_request:788", + "pull_request:8467", + "pull_request:8510", + "pull_request:8512", + "pull_request:8761", + "pull_request:8937" + ], + "soft_pairs": [ + "pull_request:3798|pull_request:5948", + "pull_request:4451|pull_request:6261", + "pull_request:4855|pull_request:5788", + "pull_request:5946|pull_request:6448", + "pull_request:10086|pull_request:8467", + "pull_request:10966|pull_request:11366", + "pull_request:11089|pull_request:11841", + "pull_request:11614|pull_request:12450", + "pull_request:1229|pull_request:152", + "pull_request:12315|pull_request:12493", + "pull_request:1468|pull_request:3298", + "pull_request:1913|pull_request:3536", + "pull_request:1945|pull_request:2706", + "pull_request:2928|pull_request:3298", + "pull_request:2968|pull_request:788", + "pull_request:5035|pull_request:5792", + "pull_request:6432|pull_request:8510", + "pull_request:6904|pull_request:8937", + "pull_request:7044|pull_request:8761", + "pull_request:7455|pull_request:8512", + "pull_request:11243|pull_request:12315", + "pull_request:7068|pull_request:7277", + "pull_request:2959|pull_request:3037", + "pull_request:3499|pull_request:3632", + "pull_request:10021|pull_request:10968" + ], + "prepared_review_unit_hash": "6e5df18eef885b75ec708e82e44fa1440c50ab0c441f3134ca02d8aa6c30434a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 104259, + "estimated_input_tokens": 26065, + "estimated_eval_tokens": 52386 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated PRs that only share broad subsystem or doc/test similarity. I rejected all soft edges; none look like the same concrete bug or change. The closest pairings are versioned follow-ups or same-file edits with different purposes, not mergeable duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR cleanly represents a duplicate cluster here: the PRs span unrelated fixes, refactors, docs, tests, and feature work across different areas.", + "best_issue_reason": null, + "best_pr_reason": "PR 10968 is the strongest standalone change in the set: it is the most complete LTX update, bundling code, docs, converter updates, and tests. That said, it is not a duplicate of the earlier LTX PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3798", + "right": "pull_request:5948", + "accept": false, + "reason": "Comment/typo cleanup in training scripts vs a from_pretrained warning behavior fix; different files and different problems." + }, + { + "left": "pull_request:4451", + "right": "pull_request:6261", + "accept": false, + "reason": "Nightly test-move changes vs a Stable Diffusion Attend-and-Excite refactor; unrelated intent and code path." + }, + { + "left": "pull_request:4855", + "right": "pull_request:5788", + "accept": false, + "reason": "CPU offload / hook handling vs LCM timestep error handling; different subsystems and no shared bug." + }, + { + "left": "pull_request:5946", + "right": "pull_request:6448", + "accept": false, + "reason": "Example test refactor vs LoRA assertion cleanup; these are separate test-maintenance changes." + }, + { + "left": "pull_request:10086", + "right": "pull_request:8467", + "accept": false, + "reason": "SD3 skip-guidance batching bug vs SEGA device-placement fix; different pipelines and failure modes." + }, + { + "left": "pull_request:10966", + "right": "pull_request:11366", + "accept": false, + "reason": "CogView4 input-shape validation vs Hidream transformer output signature; unrelated code paths." + }, + { + "left": "pull_request:11089", + "right": "pull_request:11841", + "accept": false, + "reason": "Wan docs rewrite vs batch generation docs; both documentation-only and not the same change." + }, + { + "left": "pull_request:11614", + "right": "pull_request:12450", + "accept": false, + "reason": "Docker CI loop/security tweak vs broad CI install rework; same CI area but different fixes." + }, + { + "left": "pull_request:1229", + "right": "pull_request:152", + "accept": false, + "reason": "Dreambooth README wording vs local image-folder training support; different content and functionality." + }, + { + "left": "pull_request:12315", + "right": "pull_request:12493", + "accept": false, + "reason": "LoRA test scheduler cleanup vs LTX 0.9.8 feature work; unrelated scope." + }, + { + "left": "pull_request:1468", + "right": "pull_request:3298", + "accept": false, + "reason": "Scheduler serialization support vs IF super-resolution aspect-ratio support; different components and behaviors." + }, + { + "left": "pull_request:1913", + "right": "pull_request:3536", + "accept": false, + "reason": "Input type validation vs PIL normalization fix; same general area but distinct bugs." + }, + { + "left": "pull_request:1945", + "right": "pull_request:2706", + "accept": false, + "reason": "Adding UNet block tests vs EMA save/restore logic in training; not the same underlying change." + }, + { + "left": "pull_request:2928", + "right": "pull_request:3298", + "accept": false, + "reason": "Custom local dataset loading for ControlNet vs arbitrary aspect ratio for IF super-res; unrelated features." + }, + { + "left": "pull_request:2968", + "right": "pull_request:788", + "accept": false, + "reason": "Post-processing bug fix in img2img vs PIL sampler warning cleanup; different issues despite shared pipeline area." + }, + { + "left": "pull_request:5035", + "right": "pull_request:5792", + "accept": false, + "reason": "Import-dependency cleanup vs example test refactor; no shared code-path bug." + }, + { + "left": "pull_request:6432", + "right": "pull_request:8510", + "accept": false, + "reason": "README learning-rate tweak vs scheduler math fix in advanced training scripts; not duplicates." + }, + { + "left": "pull_request:6904", + "right": "pull_request:8937", + "accept": false, + "reason": "load_image PIL support vs AuraFlow long-prompt handling; unrelated utilities and pipeline behavior." + }, + { + "left": "pull_request:7044", + "right": "pull_request:8761", + "accept": false, + "reason": "UNet refactor rework vs Hunyuan embedding refactor; broad model-internals similarity only, not the same change." + }, + { + "left": "pull_request:7455", + "right": "pull_request:8512", + "accept": false, + "reason": "distutils removal vs deprecating prepare_mask_and_masked_image; separate maintenance changes." + }, + { + "left": "pull_request:11243", + "right": "pull_request:12315", + "accept": false, + "reason": "Musubi Wan LoRA support vs test-suite scheduler simplification; different layers of the stack and different goals." + }, + { + "left": "pull_request:7068", + "right": "pull_request:7277", + "accept": false, + "reason": "General typo/import cleanup vs a much larger deprecated-parameter and typo sweep; similar editorial intent but not the same change." + }, + { + "left": "pull_request:2959", + "right": "pull_request:3037", + "accept": false, + "reason": "UNet3D test adjustment vs skipping an unstable MPS test; both test-only, but different failures." + }, + { + "left": "pull_request:3499", + "right": "pull_request:3632", + "accept": false, + "reason": "Same panorama file, but one fixes a DPMSolver bug while the other adds view batching; different concrete changes." + }, + { + "left": "pull_request:10021", + "right": "pull_request:10968", + "accept": false, + "reason": "Initial LTX integration vs later 0.9.5 versioned update; related project area, but not the same underlying bug or change and not plausibly one merged PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 137, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10140", + "pull_request:10148", + "pull_request:10326", + "pull_request:10430", + "pull_request:10454", + "pull_request:10478", + "pull_request:10537", + "pull_request:10579", + "pull_request:10837", + "pull_request:10943", + "pull_request:10981", + "pull_request:11052", + "pull_request:11089", + "pull_request:11091", + "pull_request:11142", + "pull_request:11252", + "pull_request:11434", + "pull_request:12005", + "pull_request:12086", + "pull_request:12137", + "pull_request:12420", + "pull_request:12490", + "pull_request:13022", + "pull_request:13081", + "pull_request:2595", + "pull_request:2928", + "pull_request:3708", + "pull_request:382", + "pull_request:3928", + "pull_request:401", + "pull_request:4112", + "pull_request:4408", + "pull_request:4819", + "pull_request:5393", + "pull_request:5407", + "pull_request:5747", + "pull_request:5952", + "pull_request:6065", + "pull_request:6308", + "pull_request:6311", + "pull_request:6405", + "pull_request:7247", + "pull_request:7461", + "pull_request:7771", + "pull_request:8618", + "pull_request:8652", + "pull_request:8722", + "pull_request:9918" + ], + "soft_pairs": [ + "pull_request:10537|pull_request:11142", + "pull_request:2595|pull_request:3928", + "pull_request:6311|pull_request:6405", + "pull_request:4408|pull_request:4819", + "pull_request:12490|pull_request:13022", + "pull_request:10943|pull_request:10981", + "pull_request:10326|pull_request:11252", + "pull_request:10478|pull_request:11434", + "pull_request:2928|pull_request:3708", + "pull_request:382|pull_request:401", + "pull_request:4112|pull_request:5747", + "pull_request:5393|pull_request:5407", + "pull_request:5952|pull_request:6065", + "pull_request:8618|pull_request:8722", + "pull_request:10140|pull_request:10430", + "pull_request:6308|pull_request:7461", + "pull_request:7247|pull_request:7771", + "pull_request:10148|pull_request:8652", + "pull_request:10454|pull_request:10837", + "pull_request:10579|pull_request:9918", + "pull_request:11052|pull_request:11089", + "pull_request:11091|pull_request:12086", + "pull_request:12005|pull_request:12420", + "pull_request:12137|pull_request:13081" + ], + "prepared_review_unit_hash": "a0a130c77ce5306a34168147a4b427bb091c58b9315aad884f5f66c35f013d05", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 102768, + "estimated_input_tokens": 25692, + "estimated_eval_tokens": 51640 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated feature additions, docs-only updates, small style fixes, and test/util tweaks. The soft edges mostly come from broad topical overlap or shared files, not the same underlying change, so none should be merged as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:10537", + "right": "pull_request:11142", + "accept": false, + "reason": "Unrelated changes: Sana-4K PAG pipeline tweaks vs Sana Sprint converter fixes. Same area, different code paths and problems." + }, + { + "left": "pull_request:2595", + "right": "pull_request:3928", + "accept": false, + "reason": "Both touch schedulers, but one is config-switch correctness and the other is a controlnet timestep bug. Different issues and can\u2019t be merged into one concrete fix." + }, + { + "left": "pull_request:6311", + "right": "pull_request:6405", + "accept": false, + "reason": "A docs/tutorial addition versus a documentation build workflow experiment. 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Shared framework files only reflect broad integration work, not one duplicate change." + }, + { + "left": "pull_request:10454", + "right": "pull_request:10837", + "accept": false, + "reason": "Hunyuan video attention-mask dimension fix vs SkyReels Hunyuan pipeline addition. Different concrete problems." + }, + { + "left": "pull_request:10579", + "right": "pull_request:9918", + "accept": false, + "reason": "Completely different examples/docs additions: attentive eraser community pipeline vs server example." + }, + { + "left": "pull_request:11052", + "right": "pull_request:11089", + "accept": false, + "reason": "Test decorator addition for CUDA compatibility vs Wan docs updates. No duplicate bug/change." + }, + { + "left": "pull_request:11091", + "right": "pull_request:12086", + "accept": false, + "reason": "Flux remote encode cleanup vs modular Flux I2I support. 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different problems." + }, + { + "left": "pull_request:2970", + "right": "pull_request:4396", + "accept": false, + "reason": "Variable rename in DreamBooth Inpaint vs prompt encoding without text_encoder instance state; unrelated." + }, + { + "left": "pull_request:2983", + "right": "pull_request:4963", + "accept": false, + "reason": "Test-deps instructions vs installing accelerate main in CI; different infra fixes." + }, + { + "left": "pull_request:3054", + "right": "pull_request:3321", + "accept": false, + "reason": "Separate documentation pages and topics; no duplicate change." + }, + { + "left": "pull_request:3292", + "right": "pull_request:4887", + "accept": false, + "reason": "Training-time input perturbation vs removing a latent input from Kandinsky prior_emb2emb." + }, + { + "left": "pull_request:3321", + "right": "pull_request:5407", + "accept": false, + "reason": "Docs update vs mixed-precision training example fix; unrelated." + }, + { + "left": "pull_request:3397", + "right": "pull_request:3746", + "accept": false, + "reason": "Local directory note in docs vs from_ckpt path joining bug; 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similar theme but not one concrete change." + }, + { + "left": "pull_request:11979", + "right": "pull_request:12736", + "accept": false, + "reason": "Compile-test version gating vs regional compilation enablement on a model; different fixes." + }, + { + "left": "pull_request:5559", + "right": "pull_request:6114", + "accept": false, + "reason": "New LCM img2img pipeline vs adding img2img/inpaint support to lpw-xl community script; different features." + }, + { + "left": "pull_request:12812", + "right": "pull_request:13280", + "accept": false, + "reason": "Both touch attention backend plumbing, but one enables CP for kernels backends and the other adds FlashAttention-4 support; not the same PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 139, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10200", + "pull_request:10354", + "pull_request:10704", + "pull_request:10850", + "pull_request:11254", + "pull_request:1128", + "pull_request:11455", + "pull_request:11465", + "pull_request:11916", + "pull_request:11995", + "pull_request:12004", + "pull_request:12074", + "pull_request:12092", + "pull_request:12236", + "pull_request:12419", + "pull_request:130", + "pull_request:13169", + "pull_request:1513", + "pull_request:1525", + "pull_request:2314", + "pull_request:2968", + "pull_request:3313", + "pull_request:3561", + "pull_request:388", + "pull_request:390", + "pull_request:4262", + "pull_request:4347", + "pull_request:6140", + "pull_request:6305", + "pull_request:6450", + "pull_request:6886", + "pull_request:689", + "pull_request:6994", + "pull_request:7007", + "pull_request:7115", + "pull_request:7319", + "pull_request:748", + "pull_request:7652", + "pull_request:7771", + "pull_request:7825", + "pull_request:8600", + "pull_request:8860", + "pull_request:9175", + "pull_request:9307", + "pull_request:9638", + "pull_request:9676", + "pull_request:9696" + ], + "soft_pairs": [ + "pull_request:12419|pull_request:13169", + "pull_request:9175|pull_request:9638", + "pull_request:10200|pull_request:9307", + "pull_request:10704|pull_request:11455", + "pull_request:10704|pull_request:11465", + "pull_request:10850|pull_request:12092", + "pull_request:11254|pull_request:9696", + "pull_request:11916|pull_request:12236", + "pull_request:130|pull_request:1513", + "pull_request:1525|pull_request:3561", + "pull_request:2314|pull_request:689", + "pull_request:2968|pull_request:748", + "pull_request:388|pull_request:390", + "pull_request:4262|pull_request:6450", + "pull_request:4347|pull_request:6305", + "pull_request:6140|pull_request:7319", + "pull_request:6450|pull_request:7007", + "pull_request:6886|pull_request:6994", + "pull_request:7115|pull_request:7652", + "pull_request:8600|pull_request:8860", + "pull_request:12004|pull_request:12074", + "pull_request:11995|pull_request:12419", + "pull_request:10354|pull_request:9676", + "pull_request:7771|pull_request:7825", + "pull_request:1128|pull_request:3313" + ], + "prepared_review_unit_hash": "8884ca5dc189f04c8dd770d7595beabc610e01f77ce5911df942b19a80fe7754", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 97691, + "estimated_input_tokens": 24423, + "estimated_eval_tokens": 49102 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are mostly unrelated PRs across different features, docs, tests, and infrastructure. None of the soft pairs look like the same concrete bug fix or change; at best they share a broad subsystem or model family name.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "No PR here is a clear duplicate-canonical for the others. If one representative must be chosen, PR 11916 is the strongest standalone candidate because it is a large, central code refactor with broad impact and high discussion activity.", + "best_issue_reason": null, + "best_pr_reason": "PR 11916 is the best overall representative: substantial implementation work, many touched files, and high review/discussion activity. 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unrelated utility changes." + }, + { + "left": "pull_request:4248", + "right": "pull_request:5665", + "accept": false, + "reason": "DreamBooth tracker config cleanup vs ControlNet preprocessing fix; no shared bug." + }, + { + "left": "pull_request:6261", + "right": "pull_request:7044", + "accept": false, + "reason": "Refactoring Attend-and-Excite placement vs UNet refactor re-addition; different architectural changes." + }, + { + "left": "pull_request:6426", + "right": "pull_request:8719", + "accept": false, + "reason": "LoRA deprecation handling across many models vs VQModelOutput doc deprecation wording; unrelated scope." + }, + { + "left": "pull_request:6886", + "right": "pull_request:7455", + "accept": false, + "reason": "Removing torch_dtype from .to() calls vs removing distutils; unrelated cleanup." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 142, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10105", + "pull_request:10122", + "pull_request:10318", + "pull_request:10342", + "pull_request:10454", + "pull_request:10983", + "pull_request:11044", + "pull_request:11269", + "pull_request:11290", + "pull_request:113", + "pull_request:11366", + "pull_request:11535", + "pull_request:11571", + "pull_request:11994", + "pull_request:12005", + "pull_request:12021", + "pull_request:12092", + "pull_request:12360", + "pull_request:12424", + "pull_request:12450", + "pull_request:12451", + "pull_request:12467", + "pull_request:12487", + "pull_request:12552", + "pull_request:12586", + "pull_request:12797", + "pull_request:12848", + "pull_request:12960", + "pull_request:13120", + "pull_request:13158", + "pull_request:13313", + "pull_request:13365", + "pull_request:1513", + "pull_request:1982", + "pull_request:402", + "pull_request:4276", + "pull_request:4987", + "pull_request:5010", + "pull_request:6241", + "pull_request:7116", + "pull_request:7216", + "pull_request:7679", + "pull_request:8522", + "pull_request:8563", + "pull_request:8631", + "pull_request:9473", + "pull_request:9601", + "pull_request:9940" + ], + "soft_pairs": [ + "pull_request:7116|pull_request:7679", + "pull_request:7216|pull_request:8631", + "pull_request:8522|pull_request:8563", + "pull_request:8563|pull_request:9601", + "pull_request:10122|pull_request:9473", + "pull_request:4276|pull_request:4987", + "pull_request:11290|pull_request:12424", + "pull_request:11994|pull_request:12960", + "pull_request:10105|pull_request:9940", + "pull_request:5010|pull_request:6241", + "pull_request:11571|pull_request:12021", + "pull_request:10454|pull_request:10983", + "pull_request:10318|pull_request:11269", + "pull_request:10342|pull_request:11366", + "pull_request:11044|pull_request:11535", + "pull_request:113|pull_request:1982", + "pull_request:12005|pull_request:12092", + "pull_request:12360|pull_request:12467", + "pull_request:12450|pull_request:13365", + "pull_request:12451|pull_request:12586", + "pull_request:12487|pull_request:12797", + "pull_request:12552|pull_request:12797", + "pull_request:12848|pull_request:13158", + "pull_request:13120|pull_request:13313", + "pull_request:1513|pull_request:402" + ], + "prepared_review_unit_hash": "b72088d2fba1de4abc043ac6e41f1004885fac8892b7e5975637bfd25a86b6a5", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 93764, + "estimated_input_tokens": 23441, + "estimated_eval_tokens": 47138 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of unrelated doc, CI, dependency, model, and loader changes. 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"pull_request:4078", + "pull_request:4262", + "pull_request:4278", + "pull_request:4669", + "pull_request:5057", + "pull_request:5220", + "pull_request:538", + "pull_request:5478", + "pull_request:5493", + "pull_request:5698", + "pull_request:5702", + "pull_request:5724", + "pull_request:5946", + "pull_request:6163", + "pull_request:6215", + "pull_request:6340", + "pull_request:6447", + "pull_request:6448", + "pull_request:6643", + "pull_request:7024", + "pull_request:8438", + "pull_request:8510", + "pull_request:8571", + "pull_request:980" + ], + "soft_pairs": [ + "pull_request:1913|pull_request:326", + "pull_request:1982|pull_request:2209", + "pull_request:2279|pull_request:538", + "pull_request:230|pull_request:980", + "pull_request:2327|pull_request:3681", + "pull_request:2365|pull_request:3471", + "pull_request:2365|pull_request:3806", + "pull_request:2415|pull_request:3054", + "pull_request:2470|pull_request:4262", + "pull_request:2487|pull_request:2553", + "pull_request:2894|pull_request:2958", + "pull_request:2970|pull_request:3957", + "pull_request:3656|pull_request:5220", + "pull_request:3681|pull_request:4078", + "pull_request:4669|pull_request:6448", + "pull_request:5057|pull_request:6447", + "pull_request:5478|pull_request:6643", + "pull_request:5493|pull_request:5946", + "pull_request:5698|pull_request:5702", + "pull_request:5724|pull_request:6163", + "pull_request:6215|pull_request:8510", + "pull_request:6340|pull_request:7024", + "pull_request:8438|pull_request:8571", + "pull_request:12714|pull_request:13321", + "pull_request:2902|pull_request:4278" + ], + "prepared_review_unit_hash": "1aad25f565b411792a14b16e7ae4263449320f5846e7164b8f52b826abc6b13b", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, 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If one PR must represent the cluster, it would be a substantive core refactor, not a duplicate anchor.", + "best_issue_reason": null, + "best_pr_reason": "PR 5493 is the best representative artifact: it is a real cross-cutting core-code refactor with broad impact, whereas most other items are narrow docs/test/maintenance changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1913", + "right": "pull_request:326", + "accept": false, + "reason": "Both touch img2img-related files, but one is input validation in SD img2img pipelines and the other is a type-hint/input-length cleanup in UNet/pipeline tests; different bugs and no mergeable common fix." + }, + { + "left": "pull_request:1982", + "right": "pull_request:2209", + "accept": false, + "reason": "One updates example tests, the other fixes a docs example argument name; same broad area, but not the same concrete change." + }, + { + "left": "pull_request:2279", + "right": "pull_request:538", + "accept": false, + "reason": "Both affect tooling/dependency files, but one switches lint tooling and one bumps huggingface-hub; 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not the same bug or mergeable fix." + }, + { + "left": "pull_request:5057", + "right": "pull_request:6447", + "accept": false, + "reason": "SDXL clip-skip support and K-Diffusion pipeline docs/code are different features." + }, + { + "left": "pull_request:5478", + "right": "pull_request:6643", + "accept": false, + "reason": "Japanese docs rollout and UViT2D docs are separate documentation additions." + }, + { + "left": "pull_request:5493", + "right": "pull_request:5946", + "accept": false, + "reason": "Core activation/normalization refactor versus example test refactor; they overlap only in being repo maintenance work." + }, + { + "left": "pull_request:5698", + "right": "pull_request:5702", + "accept": false, + "reason": "Both are AnimateDiff/LCM-adjacent, but one fixes img2img LoRA/offload behavior and the other fixes prompt handling in AnimateDiff; different code paths." + }, + { + "left": "pull_request:5724", + "right": "pull_request:6163", + "accept": false, + "reason": "Both touch LoRA tests, but one adds PEFT backend gating and the other adds xformers test coverage; not the same underlying issue." + }, + { + "left": "pull_request:6215", + "right": "pull_request:8510", + "accept": false, + "reason": "PixArt test initialization and DreamBooth LR scheduler fixes are unrelated." + }, + { + "left": "pull_request:6340", + "right": "pull_request:7024", + "accept": false, + "reason": "AnimateDiff conversion scripts and AnimateLCM docs are different artifacts serving different purposes." + }, + { + "left": "pull_request:8438", + "right": "pull_request:8571", + "accept": false, + "reason": "A broad errata/doc cleanup and a style/typo pass are not the same concrete change." + }, + { + "left": "pull_request:12714", + "right": "pull_request:13321", + "accept": false, + "reason": "Flux2 LoRA NaN test fixes and a Cosmos torchvision-import guard are unrelated code paths." + }, + { + "left": "pull_request:2902", + "right": "pull_request:4278", + "accept": false, + "reason": "Both affect img2img-family pipelines, but one adds cross_attention_kwargs support and the other fixes prompt=None handling in upscale; distinct bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 144, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10114", + "pull_request:10188", + "pull_request:10200", + "pull_request:10245", + "pull_request:10431", + "pull_request:10538", + "pull_request:10539", + "pull_request:11238", + "pull_request:1137", + "pull_request:11479", + "pull_request:11522", + "pull_request:11614", + "pull_request:11814", + "pull_request:12363", + "pull_request:12424", + "pull_request:12438", + "pull_request:12490", + "pull_request:12491", + "pull_request:12960", + "pull_request:13081", + "pull_request:13134", + "pull_request:13330", + "pull_request:1338", + "pull_request:13410", + "pull_request:13472", + "pull_request:1508", + "pull_request:152", + "pull_request:1525", + "pull_request:1527", + "pull_request:1706", + "pull_request:1788", + "pull_request:2415", + "pull_request:2655", + "pull_request:3292", + "pull_request:3473", + "pull_request:3536", + "pull_request:3708", + "pull_request:3797", + "pull_request:4245", + "pull_request:453", + "pull_request:51", + "pull_request:748", + "pull_request:8425", + "pull_request:8591", + "pull_request:8798", + "pull_request:9592", + "pull_request:9593", + "pull_request:9676" + ], + "soft_pairs": [ + "pull_request:11522|pull_request:12438", + "pull_request:12424|pull_request:13134", + "pull_request:12490|pull_request:12960", + "pull_request:10114|pull_request:8425", + "pull_request:13410|pull_request:13472", + "pull_request:3473|pull_request:4245", + "pull_request:10188|pull_request:8798", + "pull_request:10200|pull_request:8591", + "pull_request:10245|pull_request:9592", + "pull_request:10245|pull_request:9593", + "pull_request:10431|pull_request:10538", + "pull_request:10539|pull_request:11814", + "pull_request:11238|pull_request:9676", + "pull_request:1137|pull_request:51", + "pull_request:11479|pull_request:12363", + "pull_request:11614|pull_request:12491", + "pull_request:13081|pull_request:13330", + "pull_request:1338|pull_request:748", + "pull_request:1508|pull_request:152", + "pull_request:1525|pull_request:453", + "pull_request:1527|pull_request:3292", + "pull_request:1527|pull_request:3536", + "pull_request:1706|pull_request:2415", + "pull_request:1788|pull_request:3708", + "pull_request:2655|pull_request:3797" + ], + "prepared_review_unit_hash": "78fdf4d11bb8eb0b56b9331c605e71a48b115e64dca3ae30403c118eb32f5fd8", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 92245, + "estimated_input_tokens": 23062, + "estimated_eval_tokens": 46380 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set; it mixes unrelated documentation edits, CI/workflow changes, model/pipeline bug fixes, and refactors across many subsystems. No soft edge pair appears to describe the same underlying bug or change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the PRs are heterogeneous and do not share one concrete fix or change.", + "best_issue_reason": null, + "best_pr_reason": "PR 12438 is the strongest standalone change in the set because it fixes a real core loading-path bug with broad runtime impact, but it is still not representative of the whole cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11522", + "right": "pull_request:12438", + "accept": false, + "reason": "Both touch loading-related code, but 11522 is an AudioLDM2/transformers-version compatibility tweak while 12438 handles offload_state_dict for transformers model init; different bugs." + }, + { + "left": "pull_request:12424", + "right": "pull_request:13134", + "accept": false, + "reason": "12424 is Docker/CI definition cleanup, while 13134 is a Cosmos transformer typing fix; unrelated files and failure modes." + }, + { + "left": "pull_request:12490", + "right": "pull_request:12960", + "accept": false, + "reason": "12490 only adjusts a test helper for ClapConfig in AudioLDM2; 12960 changes how is_fsdp is detected in Flux training scripts." + }, + { + "left": "pull_request:10114", + "right": "pull_request:8425", + "accept": false, + "reason": "10114 is a formatting-only Stable Audio pipeline change; 8425 just renames a workflow, so they are not the same change." + }, + { + "left": "pull_request:13410", + "right": "pull_request:13472", + "accept": false, + "reason": "Both are agent docs, but 13410 adds modular pipeline guidance while 13472 adds a float64 gotcha; different documentation topics." + }, + { + "left": "pull_request:3473", + "right": "pull_request:4245", + "accept": false, + "reason": "3473 adds textual inversion docs, whereas 4245 adds safetensors flags across many docs; unrelated documentation changes." + }, + { + "left": "pull_request:10188", + "right": "pull_request:8798", + "accept": false, + "reason": "10188 fixes Flux LoRA expansion/error handling; 8798 fixes sharded checkpoint loading from a subfolder. Different code paths and bugs." + }, + { + "left": "pull_request:10200", + "right": "pull_request:8591", + "accept": false, + "reason": "10200 refactors StableDiffusionXL ControlNet Union models/pipelines; 8591 changes SD3 training density/weighting utilities. Not the same issue." + }, + { + "left": "pull_request:10245", + "right": "pull_request:9592", + "accept": false, + "reason": "10245 updates PEFT inference docs, while 9592 only refactors docstrings for embeddings_flax; unrelated docs work." + }, + { + "left": "pull_request:10245", + "right": "pull_request:9593", + "accept": false, + "reason": "10245 is PEFT inference documentation; 9593 is a docstring cleanup in community/hd_painter.py. No shared underlying change." + }, + { + "left": "pull_request:10431", + "right": "pull_request:10538", + "accept": false, + "reason": "10431 fixes Sana transformer positional embedding behavior, while 10538 registers Sana in auto_pipeline. Related model name, but different changes." + }, + { + "left": "pull_request:10539", + "right": "pull_request:11814", + "accept": false, + "reason": "Both are Flux-related, but 10539 fixes true CFG gating and 11814 passes joint_attention_kwargs under gradient checkpointing; different code paths." + }, + { + "left": "pull_request:11238", + "right": "pull_request:9676", + "accept": false, + "reason": "11238 changes SD3 ControlNet validation behavior; 9676 only fixes an import in benchmarks. Completely unrelated." + }, + { + "left": "pull_request:1137", + "right": "pull_request:51", + "accept": false, + "reason": "1137 is a Stable Diffusion inpaint dtype fix; 51 is a setup.py dependency pin. Different subsystems and purposes." + }, + { + "left": "pull_request:11479", + "right": "pull_request:12363", + "accept": false, + "reason": "11479 renames Habana docs to Intel Gaudi; 12363 adds Qwen Image Edit Plus docs/tests. No common bug/change." + }, + { + "left": "pull_request:11614", + "right": "pull_request:12491", + "accept": false, + "reason": "11614 changes Docker image CI logic; 12491 adds documentation link checking. Both are CI, but not the same concrete fix." + }, + { + "left": "pull_request:13081", + "right": "pull_request:13330", + "accept": false, + "reason": "13081 makes Qwen hidden states contiguous for torchao; 13330 changes torchao test setup/inputs. Test support vs model runtime fix." + }, + { + "left": "pull_request:1338", + "right": "pull_request:748", + "accept": false, + "reason": "1338 fixes ONNX inpaint cast order; 748 fixes push_to_hub calls in training scripts. Different pipelines and bugs." + }, + { + "left": "pull_request:1508", + "right": "pull_request:152", + "accept": false, + "reason": "1508 clarifies DreamBooth class image counts; 152 adds local folder support for unconditional training. Separate training features/docs." + }, + { + "left": "pull_request:1525", + "right": "pull_request:453", + "accept": false, + "reason": "1525 fixes Stable Diffusion upscaling batch sizing; 453 fixes an installation typo. Not the same issue." + }, + { + "left": "pull_request:1527", + "right": "pull_request:3292", + "accept": false, + "reason": "1527 enables tensor image/mask inputs for inpaint; 3292 adds input perturbation to text-to-image training. Different functionality." + }, + { + "left": "pull_request:1527", + "right": "pull_request:3536", + "accept": false, + "reason": "1527 is about inpaint input handling, while 3536 corrects PIL normalization in DeepFloyd IF super-resolution. Different preprocessing bugs." + }, + { + "left": "pull_request:1706", + "right": "pull_request:2415", + "accept": false, + "reason": "1706 updates main docs; 2415 changes pipeline_utils version handling. One is documentation, the other is runtime loader logic." + }, + { + "left": "pull_request:1788", + "right": "pull_request:3708", + "accept": false, + "reason": "1788 fixes a DDIM scheduler bug for prediction_type='sample'; 3708 updates custom release sorting logic. Unrelated code paths." + }, + { + "left": "pull_request:2655", + "right": "pull_request:3797", + "accept": false, + "reason": "2655 fixes LoRA save/load behavior; 3797 corrects attention-head naming across model classes. Different bugs and scopes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 145, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10136", + "pull_request:10359", + "pull_request:10567", + "pull_request:10810", + "pull_request:10985", + "pull_request:11469", + "pull_request:11999", + "pull_request:12151", + "pull_request:3410", + "pull_request:3473", + "pull_request:3589", + "pull_request:3656", + "pull_request:3723", + "pull_request:3846", + "pull_request:3850", + "pull_request:3957", + "pull_request:4070", + "pull_request:4451", + "pull_request:449", + "pull_request:4749", + "pull_request:5506", + "pull_request:5747", + "pull_request:5948", + "pull_request:6150", + "pull_request:6195", + "pull_request:6215", + "pull_request:6373", + "pull_request:6426", + "pull_request:6564", + "pull_request:676", + "pull_request:6886", + "pull_request:6961", + "pull_request:6972", + "pull_request:6994", + "pull_request:7202", + "pull_request:7216", + "pull_request:7410", + "pull_request:7458", + "pull_request:7634", + "pull_request:7662", + "pull_request:8425", + "pull_request:8512", + "pull_request:8618", + "pull_request:8627", + "pull_request:8755", + "pull_request:8761", + "pull_request:9307" + ], + "soft_pairs": [ + "pull_request:3473|pull_request:4070", + "pull_request:3589|pull_request:3723", + "pull_request:3656|pull_request:4451", + "pull_request:3850|pull_request:5948", + "pull_request:3957|pull_request:6195", + "pull_request:4749|pull_request:6972", + "pull_request:5506|pull_request:7458", + "pull_request:5747|pull_request:7634", + "pull_request:6150|pull_request:6564", + "pull_request:6215|pull_request:8425", + "pull_request:6373|pull_request:7202", + "pull_request:6426|pull_request:6886", + "pull_request:6961|pull_request:8627", + "pull_request:6994|pull_request:7216", + "pull_request:7410|pull_request:8761", + "pull_request:7458|pull_request:9307", + "pull_request:7662|pull_request:8512", + "pull_request:8618|pull_request:8755", + "pull_request:10359|pull_request:11469", + "pull_request:449|pull_request:676", + "pull_request:10136|pull_request:10567", + "pull_request:10810|pull_request:12151", + "pull_request:10985|pull_request:11999", + "pull_request:3410|pull_request:3846" + ], + "prepared_review_unit_hash": "1e07bd8484bb71e7f2d8bab7296d392338b8f9b7b5edf28a328842f9317030eb", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 98115, + "estimated_input_tokens": 24529, + "estimated_eval_tokens": 49314 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of unrelated PRs across docs, tests, loaders, pipelines, and model code. No soft-edge pair looks like the same underlying change, so all candidate duplicates are rejected.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true canonical duplicate PR stands out because the items are unrelated; if a representative is needed, PR 10136 is the most substantial merged feature PR in the set with broad scope and high activity.", + "best_issue_reason": null, + "best_pr_reason": "PR 10136 is the strongest single representative here: merged, high discussion/review activity, and the broadest code impact among the listed PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3473", + "right": "pull_request:4070", + "accept": false, + "reason": "Both are docs PRs, but they cover different topics: textual inversion inference vs SDXL docs cleanup." + }, + { + "left": "pull_request:3589", + "right": "pull_request:3723", + "accept": false, + "reason": "Same broad reference-control area, but one edits README/examples while the other changes the pipeline API and image input handling." + }, + { + "left": "pull_request:3656", + "right": "pull_request:4451", + "accept": false, + "reason": "Unrelated changes: activation helper refactor versus moving many tests to nightly." + }, + { + "left": "pull_request:3850", + "right": "pull_request:5948", + "accept": false, + "reason": "Different subsystems and purposes: audio diffusion test setup versus a from_pretrained warning fix." + }, + { + "left": "pull_request:3957", + "right": "pull_request:6195", + "accept": false, + "reason": "Both touch UNet code, but they address different changes; one is a WIP attn-name correction, the other is AnimateDiff SDXL support." + }, + { + "left": "pull_request:4749", + "right": "pull_request:6972", + "accept": false, + "reason": "Different code paths: SDXL LoRA checkpointing versus IP-Adapter unload test behavior." + }, + { + "left": "pull_request:5506", + "right": "pull_request:7458", + "accept": false, + "reason": "One fixes PEFT/xFormers LoRA behavior; the other only skips dynamo tests on Python 3.12." + }, + { + "left": "pull_request:5747", + "right": "pull_request:7634", + "accept": false, + "reason": "Different changes: dataset data_dir plumbing versus adding a high-res UNet variant." + }, + { + "left": "pull_request:6150", + "right": "pull_request:6564", + "accept": false, + "reason": "Both are IP-Adapter related, but one adds a converter method and the other fixes path construction; not the same bug." + }, + { + "left": "pull_request:6215", + "right": "pull_request:8425", + "accept": false, + "reason": "Test determinism fix for PixArt versus a workflow name change; unrelated." + }, + { + "left": "pull_request:6373", + "right": "pull_request:7202", + "accept": false, + "reason": "Workflow deletion and dependency cleanup are separate maintenance changes." + }, + { + "left": "pull_request:6426", + "right": "pull_request:6886", + "accept": false, + "reason": "LoRA deprecation cleanup versus removing `torch_dtype` deprecation warnings; different APIs and problems." + }, + { + "left": "pull_request:6961", + "right": "pull_request:8627", + "accept": false, + "reason": "Single-file loader tests versus SD3 ControlNet test-size reduction; unrelated test-only changes." + }, + { + "left": "pull_request:6994", + "right": "pull_request:7216", + "accept": false, + "reason": "Both involve `from_single_file`, but one passes `torch_dtype` into loaders while the other updates the method signature/docs." + }, + { + "left": "pull_request:7410", + "right": "pull_request:8761", + "accept": false, + "reason": "FreeInit behavior fix versus Hunyuan embedding refactor; different code paths." + }, + { + "left": "pull_request:7458", + "right": "pull_request:9307", + "accept": false, + "reason": "Python-version test skipping is unrelated to the rotary embedding CPU refactor." + }, + { + "left": "pull_request:7662", + "right": "pull_request:8512", + "accept": false, + "reason": "Workflow cleanup versus removing a deprecated inpaint helper; different targets." + }, + { + "left": "pull_request:8618", + "right": "pull_request:8755", + "accept": false, + "reason": "SD3 tiny autoencoder `shift_factor` addition is separate from SD3 DreamBooth LoRA training fixes." + }, + { + "left": "pull_request:10359", + "right": "pull_request:11469", + "accept": false, + "reason": "Both touch tests, but they fix different test files and issues; not the same underlying failure." + }, + { + "left": "pull_request:449", + "right": "pull_request:676", + "accept": false, + "reason": "Both are naming cleanups, but they rename different variables in different components and are not one change." + }, + { + "left": "pull_request:10136", + "right": "pull_request:10567", + "accept": false, + "reason": "Related Hunyuan Video work, but one introduces the pipeline/model and the other adds true CFG support; separate PRs." + }, + { + "left": "pull_request:10810", + "right": "pull_request:12151", + "accept": false, + "reason": "Flux LoRA support changes versus Flax deprecation; unrelated." + }, + { + "left": "pull_request:10985", + "right": "pull_request:11999", + "accept": false, + "reason": "Both are LoRA-related, but one improves Flux ComfyUI LoRA conversion and the other adapts PEFT config injection; different fixes." + }, + { + "left": "pull_request:3410", + "right": "pull_request:3846", + "accept": false, + "reason": "DeepSpeed plugin retrieval and random seeding are unrelated changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 146, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10119", + "pull_request:10246", + "pull_request:10418", + "pull_request:10808", + "pull_request:11089", + "pull_request:11250", + "pull_request:11366", + "pull_request:11421", + "pull_request:11535", + "pull_request:11896", + "pull_request:12142", + "pull_request:12143", + "pull_request:12425", + "pull_request:13022", + "pull_request:1513", + "pull_request:152", + "pull_request:1913", + "pull_request:2398", + "pull_request:2641", + "pull_request:3042", + "pull_request:327", + "pull_request:3681", + "pull_request:3707", + "pull_request:4622", + "pull_request:4635", + "pull_request:4695", + "pull_request:5053", + "pull_request:5057", + "pull_request:5438", + "pull_request:5439", + "pull_request:5477", + "pull_request:5713", + "pull_request:5823", + "pull_request:5928", + "pull_request:6225", + "pull_request:6289", + "pull_request:6328", + "pull_request:6698", + "pull_request:6743", + "pull_request:6828", + "pull_request:6918", + "pull_request:7058", + "pull_request:7246", + "pull_request:7771", + "pull_request:9212", + "pull_request:9234", + "pull_request:9909" + ], + "soft_pairs": [ + "pull_request:4622|pull_request:4635", + "pull_request:5053|pull_request:5439", + "pull_request:5823|pull_request:7058", + "pull_request:5928|pull_request:6328", + "pull_request:6289|pull_request:6698", + "pull_request:9212|pull_request:9234", + "pull_request:11421|pull_request:12142", + "pull_request:11421|pull_request:12143", + "pull_request:1513|pull_request:152", + "pull_request:1913|pull_request:327", + "pull_request:2398|pull_request:2641", + "pull_request:2641|pull_request:3707", + "pull_request:3042|pull_request:3681", + "pull_request:6225|pull_request:6743", + "pull_request:6743|pull_request:6918", + "pull_request:5438|pull_request:5477", + "pull_request:7246|pull_request:7771", + "pull_request:10808|pull_request:11896", + "pull_request:4695|pull_request:5057", + "pull_request:5713|pull_request:6828", + "pull_request:10119|pull_request:11089", + "pull_request:10246|pull_request:9909", + "pull_request:10418|pull_request:11250", + "pull_request:11366|pull_request:11535", + "pull_request:12425|pull_request:13022" + ], + "prepared_review_unit_hash": "bdc12b42243ac90a77ae1c41f11ae9de3afc404aef3afb187bcb3121976ac776", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 99888, + "estimated_input_tokens": 24972, + "estimated_eval_tokens": 50200 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Nearly all soft pairs are broad-topic false positives; only the two Wan VACE mask-casting fixes are the same underlying bug, with the later PR adding tests. I\u2019d treat 12143 as the canonical PR for that fix.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12143 is the best canonical PR because it fixes the same Wan VACE bf16/fp16 mask dtype bug as 12142 and also includes test coverage, making it the more complete representative of that change.", + "best_issue_reason": null, + "best_pr_reason": "PR 12143 is the strongest representative item in this set: it addresses the concrete code-path bug directly, is merged, and adds validation beyond the bare fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4622", + "right": "pull_request:4635", + "accept": false, + "reason": "Both are docs/feature PRs, but one is PushToHubMixin docs and the other is MultiControlNet docs; they touch different changes and are not the same underlying bug/change." + }, + { + "left": "pull_request:5053", + "right": "pull_request:5439", + "accept": false, + "reason": "These affect unrelated areas: a validation_image CLI arg fix vs. from_single_file tokenizer/config loading. No shared code-path or duplicate bug." + }, + { + "left": "pull_request:5823", + "right": "pull_request:7058", + "accept": false, + "reason": "Both are LoRA-related, but one adds adapter_names to fuse_lora while the other copies dict inputs in load_lora_weights. Different concrete fixes." + }, + { + "left": "pull_request:5928", + "right": "pull_request:6328", + "accept": false, + "reason": "These are different community pipeline features (AnimateDiff+ControlNet vs. AnimateDiff video-to-video), not the same change or bug." + }, + { + "left": "pull_request:6289", + "right": "pull_request:6698", + "accept": false, + "reason": "Sparse ControlNet support and PIA pipeline/model addition are separate features with different code paths." + }, + { + "left": "pull_request:9212", + "right": "pull_request:9234", + "accept": false, + "reason": "One fixes Kolors img2img autopipeline mapping, the other fixes safetensors compatibility regression. Shared infra area, but not the same bug." + }, + { + "left": "pull_request:11421", + "right": "pull_request:12142", + "accept": false, + "reason": "Dreambooth interpolation default and Wan VACE bf16/fp16 masking are unrelated fixes in different files and subsystems." + }, + { + "left": "pull_request:11421", + "right": "pull_request:12143", + "accept": false, + "reason": "Same as above: these are unrelated changes and do not fix the same underlying problem." + }, + { + "left": "pull_request:1513", + "right": "pull_request:152", + "accept": false, + "reason": "Dreambooth docs for basic config vs. local folder training support are different documentation/features, not duplicates." + }, + { + "left": "pull_request:1913", + "right": "pull_request:327", + "accept": false, + "reason": "Input-type validation for img2img pipelines and PNDM type-hint cleanup are unrelated changes." + }, + { + "left": "pull_request:2398", + "right": "pull_request:2641", + "accept": false, + "reason": "Pix2Pix Zero docs updates and doc-builder notebook configuration are unrelated documentation changes." + }, + { + "left": "pull_request:2641", + "right": "pull_request:3707", + "accept": false, + "reason": "Both touch doc workflows, but one adds notebook build config and the other changes secrets/delete-comment workflows; different operational fixes." + }, + { + "left": "pull_request:3042", + "right": "pull_request:3681", + "accept": false, + "reason": "Accelerate minimum-version bumps and manual checkpoint-limit handling solve different training-script compatibility issues." + }, + { + "left": "pull_request:6225", + "right": "pull_request:6743", + "accept": false, + "reason": "LoRA alpha parsing and a diffusion_dpo hflip argument rename are unrelated bugs in different examples." + }, + { + "left": "pull_request:6743", + "right": "pull_request:6918", + "accept": false, + "reason": "A flip-argument correction and hub-token exposure guard are separate fixes with no shared code-path." + }, + { + "left": "pull_request:5438", + "right": "pull_request:5477", + "accept": false, + "reason": "Both are latent-consistency community pipelines, but they implement different pipeline variants (txt2img vs img2img), so they are not the same concrete change." + }, + { + "left": "pull_request:7246", + "right": "pull_request:7771", + "accept": false, + "reason": "A VAE tiling test device fix and a flaky ControlNetXS test marker are distinct test-only changes." + }, + { + "left": "pull_request:10808", + "right": "pull_request:11896", + "accept": false, + "reason": "Restricting PEFT config key updates and disabling offloading hooks when loading LoRAs are different LoRA internals fixes." + }, + { + "left": "pull_request:4695", + "right": "pull_request:5057", + "accept": false, + "reason": "TextToVideoZero SDXL support is a new pipeline feature, while clip-skip support is a prompt-encoding enhancement across SDXL/controlnet pipelines." + }, + { + "left": "pull_request:5713", + "right": "pull_request:6828", + "accept": false, + "reason": "IP-Adapter feature integration and a UNetMotionModel IP-adapter code adjustment are related broadly, but not the same concrete bug/change." + }, + { + "left": "pull_request:10119", + "right": "pull_request:11089", + "accept": false, + "reason": "Loading adapter docs and Wan docs memory optimizations are unrelated documentation changes." + }, + { + "left": "pull_request:10246", + "right": "pull_request:9909", + "accept": false, + "reason": "One adds missing AttnProcessor docs/export entries, the other expands the AttentionProcessor type union. Related area, but different changes and different scope." + }, + { + "left": "pull_request:10418", + "right": "pull_request:11250", + "accept": false, + "reason": "Internal link cleanup in PEFT docs and adding AutoModel docs are separate documentation updates." + }, + { + "left": "pull_request:11366", + "right": "pull_request:11535", + "accept": false, + "reason": "Hidream transformer output shaping and Framepack initialization order are unrelated model code changes." + }, + { + "left": "pull_request:12425", + "right": "pull_request:13022", + "accept": false, + "reason": "Torch distributed import guarding and Dockerfile CUDA base image adjustments are unrelated infrastructure fixes." + }, + { + "left": "pull_request:12142", + "right": "pull_request:12143", + "accept": true, + "reason": "Both PRs fix the same Wan VACE mask dtype ordering bug in prepare_video_latents; 12143 is the same code-path fix with added test coverage." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 147, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11588", + "pull_request:11913", + "pull_request:1494", + "pull_request:1564", + "pull_request:1788", + "pull_request:1850", + "pull_request:2430", + "pull_request:2464", + "pull_request:2470", + "pull_request:2557", + "pull_request:2593", + "pull_request:2655", + "pull_request:3054", + "pull_request:3241", + "pull_request:3561", + "pull_request:3852", + "pull_request:4215", + "pull_request:4498", + "pull_request:4787", + "pull_request:5220", + "pull_request:5289", + "pull_request:5639", + "pull_request:5946", + "pull_request:6065", + "pull_request:6114", + "pull_request:6147", + "pull_request:6195", + "pull_request:6261", + "pull_request:6340", + "pull_request:6405", + "pull_request:6643", + "pull_request:6762", + "pull_request:6775", + "pull_request:6961", + "pull_request:711", + "pull_request:715", + "pull_request:748", + "pull_request:7627", + "pull_request:7779", + "pull_request:833", + "pull_request:8386", + "pull_request:8445", + "pull_request:8452", + "pull_request:8591", + "pull_request:8709", + "pull_request:9099", + "pull_request:9447", + "pull_request:9735" + ], + "soft_pairs": [ + "pull_request:1494|pull_request:2655", + "pull_request:1564|pull_request:3561", + "pull_request:1564|pull_request:748", + "pull_request:1788|pull_request:711", + "pull_request:1850|pull_request:2470", + "pull_request:2430|pull_request:715", + "pull_request:2464|pull_request:3054", + "pull_request:2557|pull_request:748", + "pull_request:2593|pull_request:833", + "pull_request:3241|pull_request:5289", + "pull_request:3852|pull_request:4215", + "pull_request:4498|pull_request:6114", + "pull_request:4787|pull_request:6762", + "pull_request:5220|pull_request:6261", + "pull_request:5639|pull_request:6340", + "pull_request:5946|pull_request:6762", + "pull_request:6065|pull_request:6643", + "pull_request:6147|pull_request:8452", + "pull_request:6195|pull_request:6405", + "pull_request:6775|pull_request:7779", + "pull_request:6961|pull_request:8386", + "pull_request:7627|pull_request:9447", + "pull_request:8445|pull_request:9447", + "pull_request:8591|pull_request:9735", + "pull_request:11588|pull_request:11913", + "pull_request:8709|pull_request:9099" + ], + "prepared_review_unit_hash": "0f2e745a709068cfdd181ad73198a68a53a1918e8ede3d1cb02706e214b812e0", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 96861, + "estimated_input_tokens": 24216, + "estimated_eval_tokens": 48688 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: the PRs span unrelated areas like LoRA loading, Wan modular pipelines, scheduler fixes, docs, tests, and SD3 features. 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related ecosystem, but not the same change." + }, + { + "left": "pull_request:5946", + "right": "pull_request:6762", + "accept": false, + "reason": "Test-suite refactor and a single flaky test adjustment are not duplicates." + }, + { + "left": "pull_request:6065", + "right": "pull_request:6643", + "accept": false, + "reason": "Docs for SDXL Turbo and docs for UViT2D are unrelated additions." + }, + { + "left": "pull_request:6147", + "right": "pull_request:8452", + "accept": false, + "reason": "Both concern single-file loading, but 6147 targets SDXL refiner plumbing while 8452 loosens generic strict loading; different defects." + }, + { + "left": "pull_request:6195", + "right": "pull_request:6405", + "accept": false, + "reason": "AnimateDiff SDXL work and doc-builder testing are unrelated." + }, + { + "left": "pull_request:6775", + "right": "pull_request:7779", + "accept": false, + "reason": "Both are docstring fixes, but for different APIs and parameters." + }, + { + "left": "pull_request:6961", + "right": "pull_request:8386", + "accept": false, + "reason": "Single-file loader tests versus test input-shape refactors; no shared bug." + }, + { + "left": "pull_request:7627", + "right": "pull_request:9447", + "accept": false, + "reason": "Playground img2img latent handling and pipeline save_pretrained shard-size defaults are separate code paths." + }, + { + "left": "pull_request:8445", + "right": "pull_request:9447", + "accept": false, + "reason": "Both alter shard-size defaults, but one changes model save_pretrained and the other pipeline save_pretrained; not the same concrete fix." + }, + { + "left": "pull_request:8591", + "right": "pull_request:9735", + "accept": false, + "reason": "SD3 training utility refactor versus an SD3 ControlNet example update; different artifacts and goals." + }, + { + "left": "pull_request:11588", + "right": "pull_request:11913", + "accept": false, + "reason": "Wan LoRA I2V support and Wan modular pipeline integration overlap on model family only; they fix/add different functionality and are not mergeable as one PR." + }, + { + "left": "pull_request:8709", + "right": "pull_request:9099", + "accept": false, + "reason": "SD3 inpaint pipeline and SD3 ControlNet inpainting are related but distinct features with different code paths; not a duplicate change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 148, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10069", + "pull_request:10117", + "pull_request:10126", + "pull_request:10271", + "pull_request:10326", + "pull_request:10354", + "pull_request:10376", + "pull_request:10482", + "pull_request:10704", + "pull_request:1089", + "pull_request:10922", + "pull_request:11052", + "pull_request:11059", + "pull_request:11066", + "pull_request:11067", + "pull_request:11196", + "pull_request:11273", + "pull_request:11290", + "pull_request:1147", + "pull_request:11614", + "pull_request:11728", + "pull_request:11823", + "pull_request:12062", + "pull_request:1215", + "pull_request:12419", + "pull_request:12425", + "pull_request:1331", + "pull_request:13364", + "pull_request:1496", + "pull_request:2915", + "pull_request:2956", + "pull_request:2959", + "pull_request:3020", + "pull_request:3337", + "pull_request:3410", + "pull_request:4927", + "pull_request:4963", + "pull_request:6490", + "pull_request:6645", + "pull_request:6752", + "pull_request:7086", + "pull_request:7714", + "pull_request:7771", + "pull_request:7941", + "pull_request:833", + "pull_request:8412", + "pull_request:8755", + "pull_request:9721" + ], + "soft_pairs": [ + "pull_request:10376|pull_request:11066", + "pull_request:10117|pull_request:10704", + "pull_request:10326|pull_request:10354", + "pull_request:2959|pull_request:3410", + "pull_request:4927|pull_request:4963", + "pull_request:6645|pull_request:7086", + "pull_request:7714|pull_request:8412", + "pull_request:7771|pull_request:7941", + "pull_request:11823|pull_request:12419", + "pull_request:6490|pull_request:6752", + "pull_request:10376|pull_request:10482", + "pull_request:2956|pull_request:3020", + "pull_request:10069|pull_request:11273", + "pull_request:10126|pull_request:8755", + "pull_request:10271|pull_request:11052", + "pull_request:1089|pull_request:1496", + "pull_request:10922|pull_request:11059", + "pull_request:11067|pull_request:9721", + "pull_request:11196|pull_request:11273", + "pull_request:11290|pull_request:12425", + "pull_request:1147|pull_request:2915", + "pull_request:11614|pull_request:11728", + "pull_request:11614|pull_request:12062", + "pull_request:1215|pull_request:833", + "pull_request:12425|pull_request:13364", + "pull_request:1331|pull_request:3337" + ], + "prepared_review_unit_hash": "1d375e44996f52d8c5890ad3381d77265691498c255a778da7ddbe0bca6b53cc", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 98420, + "estimated_input_tokens": 24605, + "estimated_eval_tokens": 49466 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a pile of topical lookalikes, not true duplicates: docs, CI, tests, LoRA conversions, and model/runtime fixes are all mixed together. I rejected every soft edge because the paired PRs target different concrete changes or code paths.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the cluster is not a duplicate set and mixes unrelated docs, CI, tests, and model/loader changes.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a strong global representative for this cluster because the items are too heterogeneous.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10376", + "right": "pull_request:11066", + "accept": false, + "reason": "Both are HunyuanVideo/Wan-adjacent LoRA work, but they fix different model formats and code paths." + }, + { + "left": "pull_request:10117", + "right": "pull_request:10704", + "accept": false, + "reason": "Both touch docs, but one fixes broken README links and the other updates img2img usage examples." + }, + { + "left": "pull_request:10326", + "right": "pull_request:10354", + "accept": false, + "reason": "CI workflow tweak vs Flux tester fix; 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unrelated." + }, + { + "left": "pull_request:10126", + "right": "pull_request:8755", + "accept": false, + "reason": "LoRA deprecation of save_attn_procs is unrelated to SD3 DreamBooth training logic." + }, + { + "left": "pull_request:10271", + "right": "pull_request:11052", + "accept": false, + "reason": "TorchAO serialization test refactor vs quantify-specific test skipping; different test concerns." + }, + { + "left": "pull_request:1089", + "right": "pull_request:1496", + "accept": false, + "reason": "Both are docs, but they add different pages for different topics and hardware." + }, + { + "left": "pull_request:10922", + "right": "pull_request:11059", + "accept": false, + "reason": "Both are LoRA-related, but one adds HunyuanVideo support while the other adds Wan t2v support." + }, + { + "left": "pull_request:11067", + "right": "pull_request:9721", + "accept": false, + "reason": "Benchmark version pinning vs Docker image torch pinning; different infrastructure changes." + }, + { + "left": "pull_request:11196", + "right": "pull_request:11273", + "accept": false, + "reason": "Safe-serialization save_pretrained change vs release-bot timeout tweak; unrelated." + }, + { + "left": "pull_request:11290", + "right": "pull_request:12425", + "accept": false, + "reason": "Dockerfile dependency pinning vs torch.distributed import guard; different fixes." + }, + { + "left": "pull_request:1147", + "right": "pull_request:2915", + "accept": false, + "reason": "Flax example loading fix vs a numerical tolerance test change; no shared underlying bug." + }, + { + "left": "pull_request:11614", + "right": "pull_request:11728", + "accept": false, + "reason": "Both touch Docker/CI-related files, but one changes build workflow behavior and the other adds quant libs to the doc-builder image." + }, + { + "left": "pull_request:11614", + "right": "pull_request:12062", + "accept": false, + "reason": "Both are CI workflow edits, but they fix different runner/container configurations." + }, + { + "left": "pull_request:1215", + "right": "pull_request:833", + "accept": false, + "reason": "A DDIM generator/device bugfix is unrelated to a version-release bump." + }, + { + "left": "pull_request:12425", + "right": "pull_request:13364", + "accept": false, + "reason": "torch.distributed import guarding vs WAN Animate blur-kernel dtype casting; different code paths." + }, + { + "left": "pull_request:1331", + "right": "pull_request:3337", + "accept": false, + "reason": "Inpainting scheduler-order fix vs broad postprocessing refactor across many pipelines; not the same concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 149, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10132", + "pull_request:11044", + "pull_request:11767", + "pull_request:1706", + "pull_request:2464", + "pull_request:2892", + "pull_request:2968", + "pull_request:3337", + "pull_request:3397", + "pull_request:3589", + "pull_request:3590", + "pull_request:4272", + "pull_request:4669", + "pull_request:4783", + "pull_request:4787", + "pull_request:5053", + "pull_request:5090", + "pull_request:5111", + "pull_request:6007", + "pull_request:6081", + "pull_request:6119", + "pull_request:6262", + "pull_request:6263", + "pull_request:6426", + "pull_request:6448", + "pull_request:6743", + "pull_request:6752", + "pull_request:6787", + "pull_request:6961", + "pull_request:7295", + "pull_request:7410", + "pull_request:7442", + "pull_request:7650", + "pull_request:7932", + "pull_request:7941", + "pull_request:816", + "pull_request:8267", + "pull_request:8370", + "pull_request:8452", + "pull_request:8496", + "pull_request:8591", + "pull_request:8652", + "pull_request:8660", + "pull_request:8719", + "pull_request:8761", + "pull_request:8937", + "pull_request:8973" + ], + "soft_pairs": [ + "pull_request:1706|pull_request:2464", + "pull_request:2892|pull_request:5053", + "pull_request:2968|pull_request:816", + "pull_request:3337|pull_request:4272", + "pull_request:3397|pull_request:5111", + "pull_request:3589|pull_request:3590", + "pull_request:3590|pull_request:5090", + "pull_request:4272|pull_request:6081", + "pull_request:4669|pull_request:4787", + "pull_request:4783|pull_request:6007", + "pull_request:6119|pull_request:7932", + "pull_request:6262|pull_request:7410", + "pull_request:6263|pull_request:7410", + "pull_request:6426|pull_request:8370", + "pull_request:6448|pull_request:8496", + "pull_request:6743|pull_request:7650", + "pull_request:6787|pull_request:8937", + "pull_request:6961|pull_request:7941", + "pull_request:7295|pull_request:8452", + "pull_request:8267|pull_request:8719", + "pull_request:8591|pull_request:8761", + "pull_request:8652|pull_request:8973", + "pull_request:6752|pull_request:7442", + "pull_request:10132|pull_request:8660", + "pull_request:11044|pull_request:11767" + ], + "prepared_review_unit_hash": "42e5d10f3b8915c383bed9b82d896985abb2afbbf5c8383e0c836a87a9a0888a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 97990, + "estimated_input_tokens": 24498, + "estimated_eval_tokens": 49252 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No safe duplicate cluster emerges here: the candidate pairs are mostly unrelated docs, tests, training, loader, or pipeline changes. 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"left": "pull_request:3397", + "right": "pull_request:5111", + "accept": false, + "reason": "Docs note addition is unrelated to scheduler API support for Karras sigmas." + }, + { + "left": "pull_request:3589", + "right": "pull_request:3590", + "accept": false, + "reason": "Both touch community README content, but they add different example features and are not the same change." + }, + { + "left": "pull_request:3590", + "right": "pull_request:5090", + "accept": false, + "reason": "Community example docs for Mixture Canvas vs a t2i-adapter code fix; different subsystems and bugs." + }, + { + "left": "pull_request:4272", + "right": "pull_request:6081", + "accept": false, + "reason": "Optional-import cleanup is unrelated to the SDXL sigma/list edit for torch.compile." + }, + { + "left": "pull_request:4669", + "right": "pull_request:4787", + "accept": false, + "reason": "Both are LoRA loader changes, but one fixes rank handling and the other tightens checkpoint-file filtering; not the same 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The soft-similarity links are mostly superficial and should not be merged as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: there is no single underlying bug/change tying these items together; they cover unrelated features and maintenance edits across different subsystems.", + "best_issue_reason": null, + "best_pr_reason": "No best PR for the cluster overall; the set is too fragmented for any one PR to serve as a representative duplicate target.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1171", + "right": "pull_request:1206", + "accept": false, + "reason": "Both are tiny typo/doc-style changes, but they fix different typos in different files and are not the same change." + }, + { + "left": "pull_request:1229", + "right": "pull_request:2590", + "accept": false, + "reason": "One updates dreambooth README wording, the other adds a CI deps-table check; unrelated maintenance work." + }, + { + "left": "pull_request:1229", + "right": "pull_request:3275", + "accept": false, + "reason": "Dreambooth docs vs. UNet block API change; no shared bug or code path." + }, + { + "left": "pull_request:12578", + "right": "pull_request:13120", + "accept": false, + "reason": "One changes modular pipeline offload behavior, the other adds tests for AutoModel load tagging; test-only follow-up, not the same fix." + }, + { + "left": "pull_request:12739", + "right": "pull_request:12921", + "accept": false, + "reason": "Both touch model export/import plumbing, but they add different transformers for different model families (ZImage vs GLM-Image), so they are separate features." + }, + { + "left": "pull_request:1554", + "right": "pull_request:453", + "accept": false, + "reason": "Different docs corrections in different areas; not the same underlying issue." + }, + { + "left": "pull_request:1945", + "right": "pull_request:3275", + "accept": false, + "reason": "One adds UNet block tests, the other adds upsample_size plumbing to attention blocks; related area, but distinct changes." + }, + { + "left": "pull_request:2327", + "right": "pull_request:2590", + "accept": false, + "reason": "UNet input validation change vs. CI workflow update; 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no shared code path." + }, + { + "left": "pull_request:6972", + "right": "pull_request:8422", + "accept": false, + "reason": "A test expectation fix for IP-Adapter unload is unrelated to subfolder-loading test infrastructure." + }, + { + "left": "pull_request:886", + "right": "pull_request:934", + "accept": false, + "reason": "Both are VAE test updates, but one changes the generator call and the other adjusts MPS-specific expected outputs; different failure modes." + }, + { + "left": "pull_request:4098", + "right": "pull_request:4819", + "accept": false, + "reason": "Both touch inpainting code, but one adds SDXL inpainting support while the other adds masked-latent input handling across multiple pipelines; broader and different change." + }, + { + "left": "pull_request:2334", + "right": "pull_request:2385", + "accept": false, + "reason": "Pix2Pix Zero feature addition vs. a utility function inside that pipeline; the latter is a follow-up helper, not the same change." + }, + { + "left": "pull_request:10970", + "right": "pull_request:11975", + "accept": false, + "reason": "Style-bot workflow replacement vs. a small training-script style fix; unrelated." + }, + { + "left": "pull_request:12451", + "right": "pull_request:13352", + "accept": false, + "reason": "Doc-builder Dockerfile package additions vs. Claude review workflow checkout step; different CI surfaces and different purposes." + }, + { + "left": "pull_request:340", + "right": "pull_request:711", + "accept": false, + "reason": "Img2Img scheduler support change vs. an alternative scheduler design proposal; not the same concrete bug fix." + }, + { + "left": "pull_request:5024", + "right": "pull_request:5111", + "accept": false, + "reason": "Both scheduler-related, but one adds step-index/noise-sampler handling to DPM-Solver-SDE while the other adds Karras sigmas support to KDPM2 schedulers; separate changes." + }, + { + "left": "pull_request:10838", + "right": "pull_request:11261", + "accept": false, + "reason": "FlashVideo pipeline work and VidTok autoencoder support are different feature areas with different code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 151, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10326", + "pull_request:10354", + "pull_request:10810", + "pull_request:10941", + "pull_request:11231", + "pull_request:11243", + "pull_request:11254", + "pull_request:11532", + "pull_request:11814", + "pull_request:11892", + "pull_request:12099", + "pull_request:12117", + "pull_request:12151", + "pull_request:12301", + "pull_request:12425", + "pull_request:12496", + "pull_request:12530", + "pull_request:12611", + "pull_request:12618", + "pull_request:12747", + "pull_request:13081", + "pull_request:13211", + "pull_request:13296", + "pull_request:13338", + "pull_request:1494", + "pull_request:152", + "pull_request:2365", + "pull_request:2489", + "pull_request:2706", + "pull_request:2959", + "pull_request:3001", + "pull_request:3351", + "pull_request:3397", + "pull_request:3766", + "pull_request:3968", + "pull_request:3989", + "pull_request:402", + "pull_request:4040", + "pull_request:4115", + "pull_request:4259", + "pull_request:4412", + "pull_request:504", + "pull_request:7328", + "pull_request:8797", + "pull_request:8798", + "pull_request:8981", + "pull_request:9676" + ], + "soft_pairs": [ + "pull_request:12117|pull_request:12301", + "pull_request:12496|pull_request:12611", + "pull_request:11243|pull_request:12151", + "pull_request:12530|pull_request:12618", + "pull_request:12530|pull_request:13296", + "pull_request:2489|pull_request:402", + "pull_request:3001|pull_request:3351", + "pull_request:3989|pull_request:4259", + "pull_request:7328|pull_request:8981", + "pull_request:3968|pull_request:4115", + "pull_request:10354|pull_request:8797", + "pull_request:10941|pull_request:11892", + "pull_request:10326|pull_request:8798", + "pull_request:10810|pull_request:11814", + "pull_request:11231|pull_request:11532", + "pull_request:11254|pull_request:9676", + "pull_request:12099|pull_request:13081", + "pull_request:12425|pull_request:13338", + "pull_request:12747|pull_request:13211", + "pull_request:1494|pull_request:152", + "pull_request:2365|pull_request:3397", + "pull_request:2365|pull_request:4040", + "pull_request:2489|pull_request:504", + "pull_request:2706|pull_request:3766", + "pull_request:2959|pull_request:4412" + ], + "prepared_review_unit_hash": "52f58b17603ff256ecdee3ca06245522fffe75b8650b116f51e051a933e94636", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 97065, + "estimated_input_tokens": 24267, + "estimated_eval_tokens": 48790 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate group: it contains unrelated workflow fixes, feature additions, test tweaks, and separate bug fixes across different subsystems. The soft matches are mostly template-driven similarity (shared package paths or common test scaffolding), not the same underlying change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical PR: the items cover unrelated code paths and product areas, so picking any one PR would be misleading rather than representative.", + "best_issue_reason": null, + "best_pr_reason": "No strong global best PR. The most substantial PRs are feature-sized additions, but the cluster has no single shared bug/change theme.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12117", + "right": "pull_request:12301", + "accept": false, + "reason": "Different Qwen-Image features: img2img/inpaint vs ControlNet-inpaint. They share package wiring but fix separate pipeline implementations and can\u2019t plausibly be merged as one PR." + }, + { + "left": "pull_request:12496", + "right": "pull_request:12611", + "accept": false, + "reason": "Unrelated Wan issues: one fixes an i2v condition shape mismatch, the other adds modular Wan blocks/guiders. Same area, but not the same bug or change." + }, + { + "left": "pull_request:11243", + "right": "pull_request:12151", + "accept": false, + "reason": "Both touch adapter/Flax-related code, but one adds Musubi Wan LoRA conversion and the other deprecates Flax support. Distinct goals and code paths." + }, + { + "left": "pull_request:12530", + "right": "pull_request:12618", + "accept": false, + "reason": "One xfails a Stable Cascade test; the other fixes a CI uv install typo. Shared timeframe only, no shared defect." + }, + { + "left": "pull_request:12530", + "right": "pull_request:13296", + "accept": false, + "reason": "Test xfail vs release-test transformer version update. Both are CI-related, but they address different failures and locations." + }, + { + "left": "pull_request:2489", + "right": "pull_request:402", + "accept": false, + "reason": "Both are docs/navigation changes, but one adds Core ML docs and the other finishes the intro section. Not the same documentation change." + }, + { + "left": "pull_request:3001", + "right": "pull_request:3351", + "accept": false, + "reason": "Both involve scheduler math/Karras, but one adds Karras to DPMSolverMultistep while the other adds use_karras_sigmas to LMSDiscreteScheduler. Separate scheduler implementations." + }, + { + "left": "pull_request:3989", + "right": "pull_request:4259", + "accept": false, + "reason": "Stable Diffusion XL offload handling vs a from_single_file circular import fix. Same ecosystem, different code-path problems." + }, + { + "left": "pull_request:7328", + "right": "pull_request:8981", + "accept": false, + "reason": "Adding torch to PyPI publish workflow is unrelated to LoRA loader/docs updates. No shared bug or change." + }, + { + "left": "pull_request:3968", + "right": "pull_request:4115", + "accept": false, + "reason": "Both touch SDXL, but one is dependency/install and workflow cleanup, the other changes denoising_start/end semantics. Different concrete changes." + }, + { + "left": "pull_request:10354", + "right": "pull_request:8797", + "accept": false, + "reason": "Flux IP-Adapter tester/device fix vs sharded checkpoint test fixes. Shared theme is testing, but the affected code paths are unrelated." + }, + { + "left": "pull_request:10941", + "right": "pull_request:11892", + "accept": false, + "reason": "Flux copy-fix in pipelines vs removing k-diffusion from core dependencies. Same repo area only, not the same change." + }, + { + "left": "pull_request:10326", + "right": "pull_request:8798", + "accept": false, + "reason": "One fixes a workflow command quoting issue, the other fixes sharded checkpoint loading from subfolder. Different failure modes and files." + }, + { + "left": "pull_request:10810", + "right": "pull_request:11814", + "accept": false, + "reason": "LoRA conversion for Flux vs passing joint_attention_kwargs under gradient checkpointing. Both are Flux-related, but they modify different runtime behaviors." + }, + { + "left": "pull_request:11231", + "right": "pull_request:11532", + "accept": false, + "reason": "HiDream Image pipeline addition vs HiDream LoRA support. Related model family, but one adds inference pipelines and the other adapter conversion/loading." + }, + { + "left": "pull_request:11254", + "right": "pull_request:9676", + "accept": false, + "reason": "ConsisID import/dependency fix vs EntryNotFoundError import cleanup. Both are import-related, but entirely different modules and issues." + }, + { + "left": "pull_request:12099", + "right": "pull_request:13081", + "accept": false, + "reason": "Qwen prompt embed device typo vs making Qwen hidden states contiguous for torchao. Same model family, different bug fixes." + }, + { + "left": "pull_request:12425", + "right": "pull_request:13338", + "accept": false, + "reason": "torch.distributed import guard vs Claude workflow id-token permission. Both are infrastructure-oriented, but unrelated files and problems." + }, + { + "left": "pull_request:12747", + "right": "pull_request:13211", + "accept": false, + "reason": "Both touch group_offloading.py, but one is feature work for pinning groups and the other is a bug fix for conditional module onload behavior. Not the same underlying change." + }, + { + "left": "pull_request:1494", + "right": "pull_request:152", + "accept": false, + "reason": "Safetensors save support vs local image folder training support. Completely different feature areas and code paths." + }, + { + "left": "pull_request:2365", + "right": "pull_request:3397", + "accept": false, + "reason": "Scheduler type note docs vs LoRA training docs note. Both are documentation-only edits, but unrelated content." + }, + { + "left": "pull_request:2365", + "right": "pull_request:4040", + "accept": false, + "reason": "Scheduler type note docs vs config default-values list fix. No shared bug or concrete implementation target." + }, + { + "left": "pull_request:2489", + "right": "pull_request:504", + "accept": false, + "reason": "Core ML docs addition vs relative link fixes in quicktour. Both docs, but different pages and issues." + }, + { + "left": "pull_request:2706", + "right": "pull_request:3766", + "accept": false, + "reason": "EMA save/restore in training vs Kandinsky conversion script update. Different training/conversion workflows and models." + }, + { + "left": "pull_request:2959", + "right": "pull_request:4412", + "accept": false, + "reason": "UNet3D norm-group test fix vs float16 inference test fix. Both are tests, but they exercise different behaviors and failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 152, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10069", + "pull_request:10114", + "pull_request:10122", + "pull_request:10206", + "pull_request:10271", + "pull_request:10293", + "pull_request:1030", + "pull_request:10358", + "pull_request:11588", + "pull_request:11728", + "pull_request:11975", + "pull_request:12363", + "pull_request:12611", + "pull_request:12642", + "pull_request:12919", + "pull_request:12982", + "pull_request:12998", + "pull_request:13017", + "pull_request:13169", + "pull_request:2902", + "pull_request:3189", + "pull_request:3313", + "pull_request:3471", + "pull_request:3561", + "pull_request:3590", + "pull_request:4112", + "pull_request:4214", + "pull_request:4262", + "pull_request:4572", + "pull_request:5186", + "pull_request:5384", + "pull_request:5420", + "pull_request:5552", + "pull_request:5792", + "pull_request:6489", + "pull_request:6759", + "pull_request:7044", + "pull_request:7442", + "pull_request:7679", + "pull_request:8285", + "pull_request:8467", + "pull_request:8660", + "pull_request:9060", + "pull_request:9065", + "pull_request:9400", + "pull_request:9426", + "pull_request:9593" + ], + "soft_pairs": [ + "pull_request:3471|pull_request:3561", + "pull_request:3590|pull_request:5384", + "pull_request:4112|pull_request:4262", + "pull_request:4214|pull_request:5792", + "pull_request:4572|pull_request:5420", + "pull_request:5186|pull_request:5552", + "pull_request:6759|pull_request:8660", + "pull_request:7044|pull_request:9065", + "pull_request:7679|pull_request:8285", + "pull_request:9060|pull_request:9426", + "pull_request:2902|pull_request:3313", + "pull_request:12919|pull_request:13017", + "pull_request:6489|pull_request:7442", + "pull_request:12982|pull_request:13169", + "pull_request:11588|pull_request:12611", + "pull_request:10069|pull_request:9400", + "pull_request:10114|pull_request:8467", + "pull_request:10122|pull_request:10206", + "pull_request:10271|pull_request:10293", + "pull_request:1030|pull_request:3189", + "pull_request:10358|pull_request:9593", + "pull_request:11728|pull_request:12363", + "pull_request:11728|pull_request:12642", + "pull_request:11975|pull_request:12998" + ], + "prepared_review_unit_hash": "d179a8b58c8892286be69fe15e4daedbbd54350579e436ff020a475791569de2", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 97213, + "estimated_input_tokens": 24304, + "estimated_eval_tokens": 48864 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose grab bag of unrelated PRs that only share broad themes like DreamBooth, Flux, NPU, docs, or style cleanup. None of the soft edges look like the same underlying bug fix or change, so they should all stay separate.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR stands out: the cluster spans unrelated documentation, test, style, dependency, and feature/fix PRs with only superficial subsystem overlap.", + "best_issue_reason": null, + "best_pr_reason": "PR #13017 is the strongest standalone candidate in the set: it has a clear bug-fix title, a specific NPU attention code-path change, and a focused implementation tied to a concrete runtime issue.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3471", + "right": "pull_request:3561", + "accept": false, + "reason": "Both are DreamBooth-related, but one is a docs note and the other changes training/upscaling logic; different changes." + }, + { + "left": "pull_request:3590", + "right": "pull_request:5384", + "accept": false, + "reason": "Completely different work: community mixture pipeline docs/code vs hypernetwork loading support." + }, + { + "left": "pull_request:4112", + "right": "pull_request:4262", + "accept": false, + "reason": "Both mention DreamBooth LoRA, but one adds rank support and the other is a broader SDXL fixes PR; not the same change." + }, + { + "left": "pull_request:4214", + "right": "pull_request:5792", + "accept": false, + "reason": "Custom Diffusion bf16 fix vs import-path cleanup across examples; unrelated." + }, + { + "left": "pull_request:4572", + "right": "pull_request:5420", + "accept": false, + "reason": "API rename/load fix for LoRA metadata vs a README/doc wording update; unrelated." + }, + { + "left": "pull_request:5186", + "right": "pull_request:5552", + "accept": false, + "reason": "Both touch FreeU, but one is a proof-of-concept implementation and the other fixes disable_freeu; distinct code-path problems." + }, + { + "left": "pull_request:6759", + "right": "pull_request:8660", + "accept": false, + "reason": "InstantID batching fix vs SD3 ControlNet input validation; unrelated." + }, + { + "left": "pull_request:7044", + "right": "pull_request:9065", + "accept": false, + "reason": "UNet refactor restoration vs SentencePiece soft-dependency wiring; unrelated." + }, + { + "left": "pull_request:7679", + "right": "pull_request:8285", + "accept": false, + "reason": "CI install command change vs adding wget to the Dockerfile; unrelated maintenance." + }, + { + "left": "pull_request:9060", + "right": "pull_request:9426", + "accept": false, + "reason": "Remove a debug print from Flux code vs CI artifact-uploader version bump; unrelated." + }, + { + "left": "pull_request:2902", + "right": "pull_request:3313", + "accept": false, + "reason": "Both affect img2img pipelines, but one adds cross_attention_kwargs support and the other fixes torch.compile breakages; different bugs." + }, + { + "left": "pull_request:12919", + "right": "pull_request:13017", + "accept": false, + "reason": "Both are NPU attention-related, but one adds Ulysses backend support and the other fixes QwenImageEditPlus attention-mask behavior; not the same issue." + }, + { + "left": "pull_request:6489", + "right": "pull_request:7442", + "accept": false, + "reason": "StyleAligned pipeline docs/code vs Differential Diffusion research-project addition; unrelated." + }, + { + "left": "pull_request:12982", + "right": "pull_request:13169", + "accept": false, + "reason": "Flux2 klein model/pipeline support vs PEFT LoRA format conversion for Flux Klein; different feature areas and not mergeable as one change." + }, + { + "left": "pull_request:11588", + "right": "pull_request:12611", + "accept": false, + "reason": "Wan I2V LoRA support vs a modular Wan pipeline overhaul; broad thematic overlap only." + }, + { + "left": "pull_request:10069", + "right": "pull_request:9400", + "accept": false, + "reason": "Quantizer device-type validation vs test helper device-agnostic updates; one is code behavior, the other is test refactoring." + }, + { + "left": "pull_request:10114", + "right": "pull_request:8467", + "accept": false, + "reason": "Stable Audio formatting cleanup vs a SEGA pipeline device fix; unrelated." + }, + { + "left": "pull_request:10122", + "right": "pull_request:10206", + "accept": false, + "reason": "Flux attention-mask wiring vs LoRA unload support for Flux Control; different concrete behaviors." + }, + { + "left": "pull_request:10271", + "right": "pull_request:10293", + "accept": false, + "reason": "TorchAO serialization test refactor vs minimum-version enforcement; one is tests, the other dependency validation." + }, + { + "left": "pull_request:1030", + "right": "pull_request:3189", + "accept": false, + "reason": "DreamBooth padding fix vs AudioLDM waveform dtype fix; unrelated." + }, + { + "left": "pull_request:10358", + "right": "pull_request:9593", + "accept": false, + "reason": "Community projects list addition vs docstring refactoring; unrelated docs-only changes." + }, + { + "left": "pull_request:11728", + "right": "pull_request:12363", + "accept": false, + "reason": "Docker quant-lib install vs QwenImageEdit Plus docs/tests; unrelated." + }, + { + "left": "pull_request:11728", + "right": "pull_request:12642", + "accept": false, + "reason": "Docker dependency update vs doc TOC update; unrelated." + }, + { + "left": "pull_request:11975", + "right": "pull_request:12998", + "accept": false, + "reason": "Both are style cleanups, but they touch different files and different formatting issues; not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 153, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11534", + "pull_request:11797", + "pull_request:11950", + "pull_request:12397", + "pull_request:12450", + "pull_request:12591", + "pull_request:1468", + "pull_request:1527", + "pull_request:1564", + "pull_request:1937", + "pull_request:2655", + "pull_request:3673", + "pull_request:3675", + "pull_request:3691", + "pull_request:3797", + "pull_request:3798", + "pull_request:3806", + "pull_request:3850", + "pull_request:453", + "pull_request:4862", + "pull_request:4963", + "pull_request:5697", + "pull_request:5754", + "pull_request:6078", + "pull_request:6119", + "pull_request:6261", + "pull_request:6564", + "pull_request:6772", + "pull_request:6886", + "pull_request:689", + "pull_request:7116", + "pull_request:7295", + "pull_request:7410", + "pull_request:7662", + "pull_request:7679", + "pull_request:7778", + "pull_request:816", + "pull_request:8267", + "pull_request:8303", + "pull_request:8425", + "pull_request:8618", + "pull_request:8627", + "pull_request:8652", + "pull_request:8719", + "pull_request:9060", + "pull_request:9323", + "pull_request:9696", + "pull_request:9918" + ], + "soft_pairs": [ + "pull_request:12397|pull_request:12450", + "pull_request:1468|pull_request:1527", + "pull_request:1564|pull_request:453", + "pull_request:1937|pull_request:3675", + "pull_request:2655|pull_request:3673", + "pull_request:3691|pull_request:3806", + "pull_request:3797|pull_request:3798", + "pull_request:3850|pull_request:6078", + "pull_request:4862|pull_request:6772", + "pull_request:4963|pull_request:5754", + "pull_request:5697|pull_request:7679", + "pull_request:6119|pull_request:8303", + "pull_request:6261|pull_request:7410", + "pull_request:6564|pull_request:8425", + "pull_request:6886|pull_request:7662", + "pull_request:6886|pull_request:8267", + "pull_request:689|pull_request:816", + "pull_request:7116|pull_request:7662", + "pull_request:7295|pull_request:8719", + "pull_request:7778|pull_request:9696", + "pull_request:8618|pull_request:8627", + "pull_request:8652|pull_request:9918", + "pull_request:9060|pull_request:9323", + "pull_request:11797|pull_request:11950", + "pull_request:11534|pull_request:12591" + ], + "prepared_review_unit_hash": "066c4a43621bc9558107f2bbe77f8b676adf9802a60b32a14d55a0da14a0550f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 99299, + "estimated_input_tokens": 24825, + "estimated_eval_tokens": 49906 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated PRs across CI, docs, quantization, loaders, pipelines, and model fixes. 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Different concrete fixes." + }, + { + "left": "pull_request:11039", + "right": "pull_request:12277", + "accept": false, + "reason": "Torch dtype / quantization handling and disabling xformers tests are unrelated changes." + }, + { + "left": "pull_request:11583", + "right": "pull_request:11618", + "accept": false, + "reason": "Removing a tutorial page and updating PyTorch 2.0 docs are unrelated documentation changes." + }, + { + "left": "pull_request:6003", + "right": "pull_request:6484", + "accept": false, + "reason": "Stable Video Diffusion inpaint work and GPU generator support are separate pipeline changes." + }, + { + "left": "pull_request:12806", + "right": "pull_request:13280", + "accept": false, + "reason": "Distributed logging/progress handling and FlashAttention-4 backend support are unrelated core changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 155, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10000", + "pull_request:10008", + "pull_request:10069", + "pull_request:10101", + "pull_request:10114", + "pull_request:10122", + "pull_request:10132", + "pull_request:10192", + "pull_request:102", + "pull_request:10218", + "pull_request:10554", + "pull_request:10728", + "pull_request:10808", + "pull_request:11081", + "pull_request:1128", + "pull_request:11479", + "pull_request:11639", + "pull_request:11904", + "pull_request:11913", + "pull_request:12028", + "pull_request:12249", + "pull_request:12416", + "pull_request:12523", + "pull_request:12909", + "pull_request:1971", + "pull_request:2040", + "pull_request:4062", + "pull_request:415", + "pull_request:433", + "pull_request:4408", + "pull_request:5448", + "pull_request:5653", + "pull_request:5887", + "pull_request:6484", + "pull_request:6646", + "pull_request:6752", + "pull_request:6868", + "pull_request:7476", + "pull_request:8631", + "pull_request:8941", + "pull_request:9175", + "pull_request:9234", + "pull_request:9542", + "pull_request:9721", + "pull_request:9840", + "pull_request:9843", + "pull_request:9896", + "pull_request:9934" + ], + "soft_pairs": [ + "pull_request:1128|pull_request:2040", + "pull_request:11904|pull_request:12028", + "pull_request:7476|pull_request:9234", + "pull_request:11639|pull_request:11913", + "pull_request:10192|pull_request:10728", + "pull_request:5448|pull_request:6752", + "pull_request:12249|pull_request:12416", + "pull_request:5887|pull_request:6868", + "pull_request:11081|pull_request:9840", + "pull_request:4062|pull_request:4408", + "pull_request:12523|pull_request:12909", + "pull_request:10808|pull_request:9542", + "pull_request:4408|pull_request:5653", + "pull_request:6484|pull_request:6646", + "pull_request:10000|pull_request:9934", + "pull_request:10008|pull_request:8941", + "pull_request:10069|pull_request:9721", + "pull_request:10101|pull_request:9843", + "pull_request:10114|pull_request:8631", + "pull_request:10122|pull_request:9896", + "pull_request:10132|pull_request:11479", + "pull_request:10192|pull_request:9175", + "pull_request:102|pull_request:1971", + "pull_request:102|pull_request:415", + "pull_request:102|pull_request:433", + "pull_request:10218|pull_request:10554" + ], + "prepared_review_unit_hash": "80f74980609a18f57d0fd6b1af5dde80088d4aeef0783edc753756a8f587b19a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 104284, + "estimated_input_tokens": 26071, + "estimated_eval_tokens": 52398 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a bag of unrelated pull requests with only superficial overlap in subsystem or file paths. 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different code paths and goals." + }, + { + "left": "pull_request:10192", + "right": "pull_request:10728", + "accept": false, + "reason": "Flux ControlNet/inpaint pipeline addition vs quantized Flux IP-Adapter handling; distinct features." + }, + { + "left": "pull_request:5448", + "right": "pull_request:6752", + "accept": false, + "reason": "LCM pipeline addition and PromptDiffusion are separate pipelines with no shared bug/change." + }, + { + "left": "pull_request:12249", + "right": "pull_request:12416", + "accept": false, + "reason": "Different model families and pipelines: Step1X-Edit vs QwenImage Edit Plus modular support." + }, + { + "left": "pull_request:5887", + "right": "pull_request:6868", + "accept": false, + "reason": "Related to IP-Adapter, but one adds support to a specific inpaint pipeline and the other introduces a broader input path across many pipelines." + }, + { + "left": "pull_request:11081", + "right": "pull_request:9840", + "accept": false, + "reason": "Group offload record_stream support and bitsandbytes CUDA placement are separate runtime features." + }, + { + "left": "pull_request:4062", + "right": "pull_request:4408", + "accept": false, + "reason": "Shap-E mesh output work is unrelated to SDXL single-file inpainting support." + }, + { + "left": "pull_request:12523", + "right": "pull_request:12909", + "accept": false, + "reason": "AutoencoderKLWan skip-keys fix vs Wan context-parallel attention fix; different bug classes." + }, + { + "left": "pull_request:10808", + "right": "pull_request:9542", + "accept": false, + "reason": "LoRA config key ambiguity fix vs Flux LoRA text-encoder compatibility; not the same underlying issue." + }, + { + "left": "pull_request:4408", + "right": "pull_request:5653", + "accept": false, + "reason": "SDXL single-file inpainting support and peft-related warning handling are unrelated." + }, + { + "left": "pull_request:6484", + "right": "pull_request:6646", + "accept": false, + "reason": "Stable Video Diffusion GPU-generator support vs resolution multiple-of-8 support; distinct pipeline issues." + }, + { + "left": "pull_request:10000", + "right": "pull_request:9934", + "accept": false, + "reason": "Mochi video-to-video pipeline addition vs Mochi docs update; docs and code are not the same concrete change." + }, + { + "left": "pull_request:10008", + "right": "pull_request:8941", + "accept": false, + "reason": "CogVideoX table formatting docs vs Stable Diffusion 3 guidance-scale docstring fix; unrelated." + }, + { + "left": "pull_request:10069", + "right": "pull_request:9721", + "accept": false, + "reason": "BnB quantizer device validation fix vs docker torch-version pinning; no shared code path." + }, + { + "left": "pull_request:10101", + "right": "pull_request:9843", + "accept": false, + "reason": "PipelineTesterMixin sigma coverage vs SD3 LoRA test data fix; both tests, but different behaviors." + }, + { + "left": "pull_request:10114", + "right": "pull_request:8631", + "accept": false, + "reason": "Stable Audio formatting cleanup vs single-file T5 loading fix; unrelated." + }, + { + "left": "pull_request:10122", + "right": "pull_request:9896", + "accept": false, + "reason": "Flux attention-mask support vs Flux device/typecasting revert; different fixes in the same subsystem." + }, + { + "left": "pull_request:10132", + "right": "pull_request:11479", + "accept": false, + "reason": "Tokenizers test-environment update vs Intel Gaudi documentation rename; unrelated." + }, + { + "left": "pull_request:102", + "right": "pull_request:1971", + "accept": false, + "reason": "Training examples update vs a scheduler docstring edit; not the same change." + }, + { + "left": "pull_request:102", + "right": "pull_request:415", + "accept": false, + "reason": "Both are docs-oriented, but one updates examples and the other updates training docs structure/content." + }, + { + "left": "pull_request:102", + "right": "pull_request:433", + "accept": false, + "reason": "Training examples changes are unrelated to the black-version dependency bump." + }, + { + "left": "pull_request:10192", + "right": "pull_request:9175", + "accept": false, + "reason": "Both involve Flux/ControlNet, but one adds a Flux control inpaint pipeline and the other adds Union ControlNet support; not the same concrete feature." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 156, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10218", + "pull_request:10230", + "pull_request:10316", + "pull_request:10322", + "pull_request:10376", + "pull_request:10378", + "pull_request:1043", + "pull_request:10430", + "pull_request:10431", + "pull_request:10434", + "pull_request:10473", + "pull_request:10491", + "pull_request:10524", + "pull_request:10554", + "pull_request:10567", + "pull_request:10579", + "pull_request:10810", + "pull_request:10834", + "pull_request:10850", + "pull_request:1087", + "pull_request:10894", + "pull_request:10922", + "pull_request:10941", + "pull_request:10990", + "pull_request:11087", + "pull_request:11113", + "pull_request:11238", + "pull_request:11451", + "pull_request:11556", + "pull_request:11812", + "pull_request:11813", + "pull_request:11975", + "pull_request:11999", + "pull_request:2759", + "pull_request:3108", + "pull_request:774", + "pull_request:8755", + "pull_request:8845", + "pull_request:8920", + "pull_request:9036", + "pull_request:9077", + "pull_request:9116", + "pull_request:9687", + "pull_request:9696", + "pull_request:9736", + "pull_request:9739", + "pull_request:9918", + "pull_request:9934" + ], + "soft_pairs": [ + "pull_request:10218|pull_request:9077", + "pull_request:10218|pull_request:9739", + "pull_request:10230|pull_request:11556", + "pull_request:10230|pull_request:8755", + "pull_request:10316|pull_request:9934", + "pull_request:10322|pull_request:10431", + "pull_request:10376|pull_request:10567", + "pull_request:10378|pull_request:11238", + "pull_request:1043|pull_request:2759", + "pull_request:1043|pull_request:774", + "pull_request:10430|pull_request:9736", + "pull_request:10434|pull_request:8920", + "pull_request:10473|pull_request:11813", + "pull_request:10491|pull_request:8845", + "pull_request:10524|pull_request:9934", + "pull_request:10554|pull_request:9036", + "pull_request:10554|pull_request:9116", + "pull_request:10579|pull_request:9687", + "pull_request:10810|pull_request:11999", + "pull_request:10834|pull_request:11451", + "pull_request:10850|pull_request:9687", + "pull_request:10850|pull_request:9918", + "pull_request:1087|pull_request:3108", + "pull_request:10894|pull_request:9696", + "pull_request:10922|pull_request:11087", + "pull_request:10941|pull_request:11975", + "pull_request:10990|pull_request:11812", + "pull_request:11113|pull_request:11975" + ], + "prepared_review_unit_hash": "a4993713af04e323fa9e6de66733f943cc48d0e8855288f8666cee44192b5632", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 99992, + "estimated_input_tokens": 24998, + "estimated_eval_tokens": 50252 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are a heterogeneous mix of unrelated docs, tests, CI, model additions, and bugfix PRs. The soft edges are mostly title/subsystem similarity rather than the same underlying change, so I would not merge any of them as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10922 is the strongest representative artifact: it is a broad, merged core feature PR with many touched files and clear centrality to the Wan release, unlike the more narrow docs/tests fixes around it.", + "best_issue_reason": null, + "best_pr_reason": "PR 10922 is the best overall PR candidate because it is substantive, widely scoped, and the most representative merged change in this set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10218", + "right": "pull_request:9077", + "accept": false, + "reason": "Unrelated changes: ControlNetUnion callback tensor cleanup vs assorted typo/doc/test fixes." + }, + { + "left": "pull_request:10218", + "right": "pull_request:9739", + "accept": false, + "reason": "Different code paths and purposes: ControlNetUnion callback inputs vs docs wording/checkpoint text." + }, + { + "left": "pull_request:10230", + "right": "pull_request:11556", + "accept": false, + "reason": "Both are docs edits, but they address different pages and topics; not the same change." + }, + { + "left": "pull_request:10230", + "right": "pull_request:8755", + "accept": false, + "reason": "LoRA docs additions are unrelated to SD3 dreambooth training logic." + }, + { + "left": "pull_request:10316", + "right": "pull_request:9934", + "accept": false, + "reason": "Both are docs-only, but they cover different models and different documentation fixes." + }, + { + "left": "pull_request:10322", + "right": "pull_request:10431", + "accept": false, + "reason": "Same model family, but one adds 2K conversion support while the other fixes a positional embedding bug; different concrete fixes." + }, + { + "left": "pull_request:10376", + "right": "pull_request:10567", + "accept": false, + "reason": "HunyuanVideo LoRA loader support vs HunyuanVideo true CFG pipeline work are separate changes." + }, + { + "left": "pull_request:10378", + "right": "pull_request:11238", + "accept": false, + "reason": "Different training scripts and bugs: SD3 LoRA distributed-saving changes vs SD3 ControlNet validation memory fix." + }, + { + "left": "pull_request:1043", + "right": "pull_request:2759", + "accept": false, + "reason": "Both touch tests, but one adds a helper/print improvement and the other is a large unrelated training/runtime regression test change." + }, + { + "left": "pull_request:1043", + "right": "pull_request:774", + "accept": false, + "reason": "Test utility/print improvements do not match the callback tolerance and chaining fixes in the older pipeline test PR." + }, + { + "left": "pull_request:10430", + "right": "pull_request:9736", + "accept": false, + "reason": "TeaCache infrastructure is unrelated to Allegro model/pipeline introduction." + }, + { + "left": "pull_request:10434", + "right": "pull_request:8920", + "accept": false, + "reason": "Both are docs-link related, but one fixes many broken cross-links while the other tweaks PAG guide wording." + }, + { + "left": "pull_request:10473", + "right": "pull_request:11813", + "accept": false, + "reason": "Different docs scopes: advanced training README updates vs Flux Kontext training docs/code." + }, + { + "left": "pull_request:10491", + "right": "pull_request:8845", + "accept": false, + "reason": "CI path typo fix in workflows vs PAG test typo fixes are separate maintenance changes." + }, + { + "left": "pull_request:10524", + "right": "pull_request:9934", + "accept": false, + "reason": "HunyuanVideo checkpoint-id docs correction is unrelated to Mochi docs expansion." + }, + { + "left": "pull_request:10554", + "right": "pull_request:9036", + "accept": false, + "reason": "SD3 miniature loader bugfix is unrelated to nightly dependency/install workflow changes." + }, + { + "left": "pull_request:10554", + "right": "pull_request:9116", + "accept": false, + "reason": "One is an SD3 training-script bugfix; 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not the same change." + }, + { + "left": "pull_request:10941", + "right": "pull_request:11975", + "accept": false, + "reason": "Flux pipeline copy-fix work is unrelated to the Flux advanced training style cleanup." + }, + { + "left": "pull_request:10990", + "right": "pull_request:11812", + "accept": false, + "reason": "Flux LoRA quantization support and Flux Kontext pipeline introduction are different concrete features." + }, + { + "left": "pull_request:11113", + "right": "pull_request:11975", + "accept": false, + "reason": "AutoencoderKL training bugfix and Flux training script style fix are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 157, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11194", + "pull_request:11212", + "pull_request:11237", + "pull_request:11254", + "pull_request:1133", + "pull_request:11416", + "pull_request:11472", + "pull_request:115", + "pull_request:11556", + "pull_request:1162", + "pull_request:11621", + "pull_request:11635", + "pull_request:11684", + "pull_request:11767", + "pull_request:118", + "pull_request:11814", + "pull_request:11838", + "pull_request:1184", + "pull_request:11848", + "pull_request:11892", + "pull_request:11894", + "pull_request:11904", + "pull_request:11916", + "pull_request:1194", + "pull_request:12115", + "pull_request:12231", + "pull_request:12277", + "pull_request:12331", + "pull_request:12340", + "pull_request:12398", + "pull_request:12419", + "pull_request:12519", + "pull_request:12644", + "pull_request:12747", + "pull_request:1765", + "pull_request:2101", + "pull_request:2322", + "pull_request:2691", + "pull_request:2808", + "pull_request:498", + "pull_request:705", + "pull_request:824", + "pull_request:840", + "pull_request:9688", + "pull_request:9827", + "pull_request:9878", + "pull_request:9934" + ], + "soft_pairs": [ + "pull_request:11194|pull_request:11838", + "pull_request:11212|pull_request:9934", + "pull_request:11237|pull_request:9688", + "pull_request:11254|pull_request:9827", + "pull_request:1133|pull_request:2808", + "pull_request:1133|pull_request:705", + "pull_request:1133|pull_request:824", + "pull_request:11416|pull_request:12231", + "pull_request:11472|pull_request:9878", + "pull_request:115|pull_request:498", + "pull_request:11556|pull_request:12331", + "pull_request:1162|pull_request:840", + "pull_request:11621|pull_request:12340", + "pull_request:11621|pull_request:12398", + "pull_request:11635|pull_request:12115", + "pull_request:11684|pull_request:11904", + "pull_request:11767|pull_request:11814", + "pull_request:11767|pull_request:12747", + "pull_request:118|pull_request:1765", + "pull_request:11838|pull_request:12644", + "pull_request:1184|pull_request:2691", + "pull_request:11848|pull_request:12644", + "pull_request:11892|pull_request:12277", + "pull_request:11894|pull_request:12519", + "pull_request:11916|pull_request:12419", + "pull_request:1194|pull_request:2101", + "pull_request:1194|pull_request:2322" + ], + "prepared_review_unit_hash": "ba04d9c7f4ef2e71032fc89bd59d97785589acae1da65fe5866146ee5aafbff7", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 27, + "serialized_chars": 105468, + "estimated_input_tokens": 26367, + "estimated_eval_tokens": 52990 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very heterogeneous: docs edits, CI/workflow changes, model/pipeline additions, and unrelated loader/refactor fixes. I found no pair that clearly represents the same underlying bug or change, so I reject all soft edges.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11916 is the most central merged PR in this set: it has the broadest core-code impact, the most inbound references/review activity, and is the least arbitrary representative of the mixed cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR 11916 is the strongest representative if one must be chosen, because it is a substantial merged refactor with broad impact and high discussion/review signal, unlike the mostly isolated docs/typo/CI items.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11194", + "right": "pull_request:11838", + "accept": false, + "reason": "Both are docs PRs, but they cover different topics and files; no shared underlying bug or change." + }, + { + "left": "pull_request:11212", + "right": "pull_request:9934", + "accept": false, + "reason": "Unrelated docs updates: MPS badges vs Mochi docs." + }, + { + "left": "pull_request:11237", + "right": "pull_request:9688", + "accept": false, + "reason": "Different doc fixes in different areas; only superficial docs similarity." + }, + { + "left": "pull_request:11254", + "right": "pull_request:9827", + "accept": false, + "reason": "ConsisID import fix vs LoRA device_map behavior are unrelated changes." + }, + { + "left": "pull_request:1133", + "right": "pull_request:2808", + "accept": false, + "reason": "Windows CI workflow vs test relaxation in model tests; not the same change." + }, + { + "left": "pull_request:1133", + "right": "pull_request:705", + "accept": false, + "reason": "Same broad CI/workflow theme, but different workflows and goals." + }, + { + "left": "pull_request:1133", + "right": "pull_request:824", + "accept": false, + "reason": "Different CI/test setup changes; not the same underlying issue." + }, + { + "left": "pull_request:11416", + "right": "pull_request:12231", + "accept": false, + "reason": "Both are typo/doc cleanup, but they fix different typos in different files." + }, + { + "left": "pull_request:11472", + "right": "pull_request:9878", + "accept": false, + "reason": "Interpolation-mode docs vs gradient-checkpointing behavior; unrelated." + }, + { + "left": "pull_request:115", + "right": "pull_request:498", + "accept": false, + "reason": "Pipeline rename work vs attention slicing bugfix; different code-path problems." + }, + { + "left": "pull_request:11556", + "right": "pull_request:12331", + "accept": false, + "reason": "Separate docs additions about different optimization topics." + }, + { + "left": "pull_request:1162", + "right": "pull_request:840", + "accept": false, + "reason": "Community links cleanup vs adding a dummy one-step pipeline; unrelated." + }, + { + "left": "pull_request:11621", + "right": "pull_request:12340", + "accept": false, + "reason": "Two different pipeline additions, not the same feature change." + }, + { + "left": "pull_request:11621", + "right": "pull_request:12398", + "accept": false, + "reason": "PhotoDoodle pipeline vs Mirage pipeline are distinct features." + }, + { + "left": "pull_request:11635", + "right": "pull_request:12115", + "accept": false, + "reason": "Flux-Kontext feature/docs vs an unrelated test PR." + }, + { + "left": "pull_request:11684", + "right": "pull_request:11904", + "accept": false, + "reason": "Both touch single-file loading, but one adds GGUF support and the other speeds loading; not the same fix." + }, + { + "left": "pull_request:11767", + "right": "pull_request:11814", + "accept": false, + "reason": "Group-offloading disk-memory fix vs Flux gradient-checkpointing kwargs forwarding; unrelated." + }, + { + "left": "pull_request:11767", + "right": "pull_request:12747", + "accept": false, + "reason": "Same file area, but one fixes disk offloading behavior while the other adds pinning features." + }, + { + "left": "pull_request:118", + "right": "pull_request:1765", + "accept": false, + "reason": "Old pipeline final-fix rename vs Dreambooth flax fixes; unrelated." + }, + { + "left": "pull_request:11838", + "right": "pull_request:12644", + "accept": false, + "reason": "Deprecated-pipelines docs vs AutoModel docs; different content and intent." + }, + { + "left": "pull_request:1184", + "right": "pull_request:2691", + "accept": false, + "reason": "Flash-attention addition vs attention rename refactor; not the same underlying change." + }, + { + "left": "pull_request:11848", + "right": "pull_request:12644", + "accept": false, + "reason": "LoRA metadata docs vs AutoModel docs; unrelated documentation changes." + }, + { + "left": "pull_request:11892", + "right": "pull_request:12277", + "accept": false, + "reason": "Removing k-diffusion from core vs disabling xformers tests; different maintenance tasks." + }, + { + "left": "pull_request:11894", + "right": "pull_request:12519", + "accept": false, + "reason": "k-diffusion pinning for CI vs toctree sorting fix; unrelated CI/docs changes." + }, + { + "left": "pull_request:11916", + "right": "pull_request:12419", + "accept": false, + "reason": "Flux/Chroma attention-dispatch refactor vs Flux modular-pipeline readiness; related subsystem, but distinct changes and code paths." + }, + { + "left": "pull_request:1194", + "right": "pull_request:2101", + "accept": false, + "reason": "Docs workflow updates vs pix2pix example/docs update; not the same change." + }, + { + "left": "pull_request:1194", + "right": "pull_request:2322", + "accept": false, + "reason": "Docs workflow updates vs example/inpaint update; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 158, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11975", + "pull_request:120", + "pull_request:12099", + "pull_request:12109", + "pull_request:1219", + "pull_request:12244", + "pull_request:12265", + "pull_request:1229", + "pull_request:12340", + "pull_request:12387", + "pull_request:12398", + "pull_request:1240", + "pull_request:12420", + "pull_request:12451", + "pull_request:12467", + "pull_request:12487", + "pull_request:12491", + "pull_request:1250", + "pull_request:12530", + "pull_request:12541", + "pull_request:12552", + "pull_request:12604", + "pull_request:12637", + "pull_request:12686", + "pull_request:1269", + "pull_request:12775", + "pull_request:12782", + "pull_request:1283", + "pull_request:12914", + "pull_request:12960", + "pull_request:12961", + "pull_request:13029", + "pull_request:13039", + "pull_request:13081", + "pull_request:13146", + "pull_request:13294", + "pull_request:13321", + "pull_request:13338", + "pull_request:13365", + "pull_request:13472", + "pull_request:1971", + "pull_request:2892", + "pull_request:2926", + "pull_request:3337", + "pull_request:433", + "pull_request:483", + "pull_request:748", + "pull_request:79" + ], + "soft_pairs": [ + "pull_request:11975|pull_request:12960", + "pull_request:120|pull_request:1971", + "pull_request:120|pull_request:433", + "pull_request:12099|pull_request:12914", + "pull_request:12109|pull_request:12387", + "pull_request:1219|pull_request:2926", + "pull_request:12244|pull_request:12604", + "pull_request:12265|pull_request:12637", + "pull_request:12265|pull_request:13146", + "pull_request:1229|pull_request:748", + "pull_request:12340|pull_request:12961", + "pull_request:12398|pull_request:12961", + "pull_request:1240|pull_request:79", + "pull_request:12420|pull_request:13081", + "pull_request:12451|pull_request:13338", + "pull_request:12467|pull_request:12487", + "pull_request:12467|pull_request:12552", + "pull_request:12491|pull_request:13365", + "pull_request:1250|pull_request:2892", + "pull_request:12530|pull_request:13294", + "pull_request:12541|pull_request:13039", + "pull_request:12686|pull_request:12775", + "pull_request:1269|pull_request:3337", + "pull_request:12782|pull_request:13321", + "pull_request:1283|pull_request:483", + "pull_request:13029|pull_request:13472" + ], + "prepared_review_unit_hash": "d63b055068979c78a94be771061ac33b83ce30c20ec516db48bc3c3307cc52b7", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 101377, + "estimated_input_tokens": 25345, + "estimated_eval_tokens": 50946 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly title-similarity noise: the paired PRs touch different files, different issues, or unrelated docs/CI tweaks. None of the soft-edge candidates look like the same underlying change, so I would not merge any of them as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:11975", + "right": "pull_request:12960", + "accept": false, + "reason": "Both are small typo/style fixes in training scripts, but they change different Flux DreamBooth files and different code paths." + }, + { + "left": "pull_request:120", + "right": "pull_request:1971", + "accept": false, + "reason": "Both are README/doc edits, but one adds examples and the other edits a scheduler docstring; not the same change." + }, + { + "left": "pull_request:120", + "right": "pull_request:433", + "accept": false, + "reason": "Unrelated documentation updates: README examples vs broad black/version cleanup and code changes." + }, + { + "left": "pull_request:12099", + "right": "pull_request:12914", + "accept": false, + "reason": "Different fixes in different pipelines: Qwen device typo vs Cosmos revision typo." + }, + { + "left": "pull_request:12109", + "right": "pull_request:12387", + "accept": false, + "reason": "Different scheduler/attention features; no shared concrete bug or code path." + }, + { + "left": "pull_request:1219", + "right": "pull_request:2926", + "accept": false, + "reason": "Both are DDIM docs edits, but they are separate documentation cleanup PRs years apart and not the same content change." + }, + { + "left": "pull_request:12244", + "right": "pull_request:12604", + "accept": false, + "reason": "Both are docs cleanup, but one removes Flax from many docs while the other rewrites modular diffusers docs." + }, + { + "left": "pull_request:12265", + "right": "pull_request:12637", + "accept": false, + "reason": "Both are typo-related, but they touch different areas and different text; not the same underlying fix." + }, + { + "left": "pull_request:12265", + "right": "pull_request:13146", + "accept": false, + "reason": "Different typo fixes in different files and subsystems; no common bug." + }, + { + "left": "pull_request:1229", + "right": "pull_request:748", + "accept": false, + "reason": "Both mention training/docs, but one fixes a bitsandbytes install note and the other fixes push_to_hub calls." + }, + { + "left": "pull_request:12340", + "right": "pull_request:12961", + "accept": false, + "reason": "LucyEdit pipeline addition vs PhotoDoodle pipeline README addition; different features, not duplicates." + }, + { + "left": "pull_request:12398", + "right": "pull_request:12961", + "accept": false, + "reason": "Mirage pipeline implementation is unrelated to adding a PhotoDoodle community example." + }, + { + "left": "pull_request:1240", + "right": "pull_request:79", + "accept": false, + "reason": "They both touch __init__.py exports, but one adds OneFlow support and the other adds unconditional image generation; different features." + }, + { + "left": "pull_request:12420", + "right": "pull_request:13081", + "accept": false, + "reason": "Different code paths: distributed import guard vs Qwen hidden-state contiguity fix." + }, + { + "left": "pull_request:12451", + "right": "pull_request:13338", + "accept": false, + "reason": "Doc-builder Dockerfile deps vs Claude workflow permissions; unrelated CI infrastructure changes." + }, + { + "left": "pull_request:12467", + "right": "pull_request:12487", + "accept": false, + "reason": "Both are fix PRs, but one targets QwenImage batch handling and the other fixes broken documentation links." + }, + { + "left": "pull_request:12467", + "right": "pull_request:12552", + "accept": false, + "reason": "QwenImage batch bug vs Kandinsky docs typo cleanup; different artifacts and purposes." + }, + { + "left": "pull_request:12491", + "right": "pull_request:13365", + "accept": false, + "reason": "Both are workflow changes, but one adds docs link checking and the other fixes Claude review on forks; not the same problem." + }, + { + "left": "pull_request:1250", + "right": "pull_request:2892", + "accept": false, + "reason": "Community pipeline addition vs Stable Diffusion upscale input validation; unrelated changes." + }, + { + "left": "pull_request:12530", + "right": "pull_request:13294", + "accept": false, + "reason": "Different test fixes for different models; one xfails a stable-cascade test, the other stabilizes WanVACE LoRA tests." + }, + { + "left": "pull_request:12541", + "right": "pull_request:13039", + "accept": false, + "reason": "Different WAN-related fixes: LoRA conversion logic vs layerwise upcasting in a transformer." + }, + { + "left": "pull_request:12686", + "right": "pull_request:12775", + "accept": false, + "reason": "Both add Kandinsky 5 docs, but one adds image pipelines and the other adds Z-Image docs; different features." + }, + { + "left": "pull_request:1269", + "right": "pull_request:3337", + "accept": false, + "reason": "Both are Stable Diffusion refactor-related, but one finalizes attention slicing/postprocess refactors while the other is a broader postprocessing refactor; not the same change." + }, + { + "left": "pull_request:12782", + "right": "pull_request:13321", + "accept": false, + "reason": "Different test fixes: HunyuanVideo offloading tests vs Cosmos torchvision import guard." + }, + { + "left": "pull_request:1283", + "right": "pull_request:483", + "accept": false, + "reason": "Both are broad feature/docs PRs, but one adds Versatile Diffusion and the other is typo/docs cleanup; unrelated." + }, + { + "left": "pull_request:13029", + "right": "pull_request:13472", + "accept": false, + "reason": "Modular docs quickstart rewrite vs agents docs float64 gotcha; different documentation topics and goals." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 159, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1311", + "pull_request:13164", + "pull_request:1325", + "pull_request:13294", + "pull_request:1341", + "pull_request:1386", + "pull_request:1393", + "pull_request:1402", + "pull_request:1406", + "pull_request:1415", + "pull_request:1458", + "pull_request:1468", + "pull_request:1487", + "pull_request:1548", + "pull_request:1588", + "pull_request:1667", + "pull_request:1706", + "pull_request:1713", + "pull_request:1724", + "pull_request:1751", + "pull_request:1757", + "pull_request:1761", + "pull_request:1765", + "pull_request:1766", + "pull_request:1850", + "pull_request:1868", + "pull_request:1965", + "pull_request:2009", + "pull_request:2314", + "pull_request:2322", + "pull_request:2341", + "pull_request:286", + "pull_request:2919", + "pull_request:3230", + "pull_request:3321", + "pull_request:3343", + "pull_request:34", + "pull_request:3402", + "pull_request:3433", + "pull_request:3653", + "pull_request:3712", + "pull_request:397", + "pull_request:41", + "pull_request:415", + "pull_request:418", + "pull_request:423", + "pull_request:538", + "pull_request:768" + ], + "soft_pairs": [ + "pull_request:1311|pull_request:1386", + "pull_request:13164|pull_request:13294", + "pull_request:1325|pull_request:3343", + "pull_request:1325|pull_request:3402", + "pull_request:1325|pull_request:3433", + "pull_request:1325|pull_request:41", + "pull_request:1341|pull_request:3230", + "pull_request:1393|pull_request:1406", + "pull_request:1402|pull_request:34", + "pull_request:1415|pull_request:1751", + "pull_request:1458|pull_request:2009", + "pull_request:1468|pull_request:2341", + "pull_request:1487|pull_request:3230", + "pull_request:1548|pull_request:2322", + "pull_request:1588|pull_request:2314", + "pull_request:1667|pull_request:1965", + "pull_request:1706|pull_request:3321", + "pull_request:1713|pull_request:423", + "pull_request:1724|pull_request:397", + "pull_request:1724|pull_request:415", + "pull_request:1724|pull_request:418", + "pull_request:1757|pull_request:3230", + "pull_request:1761|pull_request:3230", + "pull_request:1765|pull_request:768", + "pull_request:1766|pull_request:538", + "pull_request:1850|pull_request:2919", + "pull_request:1868|pull_request:286", + "pull_request:1868|pull_request:3653", + "pull_request:1868|pull_request:3712" + ], + "prepared_review_unit_hash": "2818155a218eefb15d04dd6d9474da268ff31e0cc740d66f6abf451da943f954", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 106051, + "estimated_input_tokens": 26513, + "estimated_eval_tokens": 53282 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are mostly unrelated PRs spanning docs, CI, schedulers, pipelines, and tests. None of the soft-edge pairs look like the same concrete bug/change, so I rejected all of them. If one PR has to serve as the representative anchor, PR #3230 is the broadest feature addition in the set.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3230 is the most substantial, multi-file feature PR in the set (new IF pipeline/docs/export wiring), so it is the best single representative PR here.", + "best_issue_reason": null, + "best_pr_reason": "PR #3230 has the broadest scope and highest signal as a feature-defining change, making it the strongest global representative among these PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1311", + "right": "pull_request:1386", + "accept": false, + "reason": "Different changes: AltDiffusion test/dependency work vs scheduler v-prediction support; only loosely related by library area." + }, + { + "left": "pull_request:13164", + "right": "pull_request:13294", + "accept": false, + "reason": "Both touch CI/test behavior, but one removes test deps from workflows while the other tweaks a flaky WanVACE test; not the same underlying fix." + }, + { + "left": "pull_request:1325", + "right": "pull_request:3343", + "accept": false, + "reason": "One adds OneFlow image2image/pipeline support, the other fixes a DPM-Solver config reference; unrelated code paths." + }, + { + "left": "pull_request:1325", + "right": "pull_request:3402", + "accept": false, + "reason": "One is a large OneFlow pipeline implementation; the other is a Dockerfile packaging tweak." + }, + { + "left": "pull_request:1325", + "right": "pull_request:3433", + "accept": false, + "reason": "Pipeline implementation vs documentation/style cleanup; not the same change." + }, + { + "left": "pull_request:1325", + "right": "pull_request:41", + "accept": false, + "reason": "OneFlow pipeline work is unrelated to comment-only resnet cleanup." + }, + { + "left": "pull_request:1341", + "right": "pull_request:3230", + "accept": false, + "reason": "Both add pipeline-related exports, but they are different concrete features: 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none of the soft-edge pairs look like true duplicates of the same underlying change or bug fix. No issue artifacts are present, and the strongest standalone PR is the FreeU feature work.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5164 is the most substantial and self-contained change in the set, with broad core-model impact, tests/docs, and explicit issue linkage; it is a better canonical representative than the many minor docs/housekeeping PRs.", + "best_issue_reason": null, + "best_pr_reason": "PR 5164 is the best overall representative because it is the clearest, most complete substantive feature PR in this cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4276", + "right": "pull_request:5792", + "accept": false, + "reason": "Both touch import-related test/community code, but one adds a pipeline import test and the other fixes import paths in community examples; different changes and different failure modes." + }, + { + "left": "pull_request:4301", + "right": "pull_request:4887", + "accept": false, + "reason": "Docs update for Kandinsky vs removal of a latents argument in a Kandinsky prior emb2emb pipeline; unrelated scope and code path." + }, + { + "left": "pull_request:4320", + "right": "pull_request:6410", + "accept": false, + "reason": "A typo/docs polish PR vs a runtime module-registration fix in experimental RL; no shared bug or code change." + }, + { + "left": "pull_request:433", + "right": "pull_request:70", + "accept": false, + "reason": "Both are dependency/setup-related, but they address different eras and unrelated package/version fixes; not the same underlying change." + }, + { + "left": "pull_request:4396", + "right": "pull_request:6262", + "accept": false, + "reason": "One changes prompt embedding dtype handling across many pipelines; the other refactors panorama pipeline packaging. Different concrete problems." + }, + { + "left": "pull_request:4472", + "right": "pull_request:5729", + "accept": false, + "reason": "README documentation removal vs broad min-version updates in many training scripts; not the same fix." + }, + { + "left": "pull_request:4547", + "right": "pull_request:4746", + "accept": false, + "reason": "Flax scheduler addition/refactor work vs an SDXL inpainting training/pipeline WIP; different features entirely." + }, + { + "left": "pull_request:4547", + "right": "pull_request:5682", + "accept": false, + "reason": "No shared code path: one is Flax Euler scheduler work, the other is AnimateDiff model/pipeline checks." + }, + { + "left": "pull_request:4748", + "right": "pull_request:5729", + "accept": false, + "reason": "Both touch setup/versioning, but one edits packaging/upload instructions while the other bumps min-version checks across example scripts; not mergeable as one PR." + }, + { + "left": "pull_request:4783", + "right": "pull_request:6237", + "accept": false, + "reason": "One adds SDXL ControlNet prompt-embedding docs; the other adds a seeds documentation tip. Same broad docs area, but not the same change." + }, + { + "left": "pull_request:4787", + "right": "pull_request:6437", + "accept": false, + "reason": "LoRA weight-file filtering in loaders vs a test-workflow exclusion tweak for PEFT env; different layers and different bugs." + }, + { + "left": "pull_request:4887", + "right": "pull_request:6886", + "accept": false, + "reason": "Kandinsky prior pipeline API cleanup vs a cross-cutting to() deprecation cleanup; not the same concrete fix." + }, + { + "left": "pull_request:4937", + "right": "pull_request:6305", + "accept": false, + "reason": "Adapter conditioning factor addition vs DDPMScheduler zero-SNR support; unrelated pipeline and scheduler changes." + }, + { + "left": "pull_request:51", + "right": "pull_request:788", + "accept": false, + "reason": "Very early install-requires fix vs later PIL sampler warning fix in examples/pipelines; no shared underlying bug." + }, + { + "left": "pull_request:5122", + "right": "pull_request:5164", + "accept": false, + "reason": "Workflow Python version bump/setup edits vs a core FreeU feature implementation; 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"pull_request:8650", + "pull_request:8684", + "pull_request:8698", + "pull_request:8755", + "pull_request:8932", + "pull_request:9247", + "pull_request:9257", + "pull_request:9524", + "pull_request:9896" + ], + "soft_pairs": [ + "pull_request:3278|pull_request:4715", + "pull_request:3673|pull_request:4621", + "pull_request:3850|pull_request:5526", + "pull_request:4099|pull_request:6195", + "pull_request:4947|pull_request:5853", + "pull_request:5186|pull_request:7328", + "pull_request:6007|pull_request:6237", + "pull_request:6007|pull_request:7134", + "pull_request:6864|pull_request:8684", + "pull_request:6961|pull_request:7295", + "pull_request:7044|pull_request:7134", + "pull_request:7202|pull_request:8698", + "pull_request:7206|pull_request:8650", + "pull_request:7410|pull_request:9247", + "pull_request:8404|pull_request:8932", + "pull_request:8522|pull_request:8932", + "pull_request:9257|pull_request:9896", + "pull_request:11602|pull_request:12301", + "pull_request:2334|pull_request:2397", + "pull_request:11916|pull_request:12439", + "pull_request:12534|pull_request:12919", + "pull_request:10148|pull_request:10850", + "pull_request:10230|pull_request:11269", + "pull_request:10326|pull_request:8755", + "pull_request:10539|pull_request:9257", + "pull_request:10547|pull_request:9524" + ], + "prepared_review_unit_hash": "3f7dd94ba57261800998e08f3ca2ceaa6247562088ef6cb0ae62137efba0127a", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 101946, + "estimated_input_tokens": 25487, + "estimated_eval_tokens": 51230 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated feature PRs, documentation updates, test-only fixes, and infrastructure changes across many subsystems. I do not see any pair that appears to be the same underlying bug or change.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR fits this cluster; the items are not duplicates of one another. If forced to anchor on one, PR 11916 is the most cross-cutting core change, but it does not represent the rest of the set.", + "best_issue_reason": null, + "best_pr_reason": "PR 11916 is the most broadly representative core code change in the set, but only as a weak anchor; it is not a true duplicate target for the other PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3278", + "right": "pull_request:4715", + "accept": false, + "reason": "One disables spectrogram diffusion tests; the other renames example test files. Different maintenance tasks." + }, + { + "left": "pull_request:3673", + "right": "pull_request:4621", + "accept": false, + "reason": "Dreambooth multi-GPU fix vs T2I Adapter downscale-factor validation. Different models and bugs." + }, + { + "left": "pull_request:3850", + "right": "pull_request:5526", + "accept": false, + "reason": "Audio diffusion test adjustments are unrelated to the scheduler timestep fix." + }, + { + "left": "pull_request:4099", + "right": "pull_request:6195", + "accept": false, + "reason": "SDXL prompt-embedding bug fix vs AnimateDiff SDXL implementation work. Not the same change." + }, + { + "left": "pull_request:4947", + "right": "pull_request:5853", + "accept": false, + "reason": "T2I adapter training tests vs doctest workflow/setup changes. No shared bug or code path." + }, + { + "left": "pull_request:5186", + "right": "pull_request:7328", + "accept": false, + "reason": "FreeU proof-of-concept model changes are unrelated to adding torch in the PyPI publish job." + }, + { + "left": "pull_request:6007", + "right": "pull_request:6237", + "accept": false, + "reason": "Docs for copied-from mechanism vs batched seed guidance. Different documentation topics." + }, + { + "left": "pull_request:6007", + "right": "pull_request:7134", + "accept": false, + "reason": "Copied-from docs update is unrelated to UNet type-hint cleanup." + }, + { + "left": "pull_request:6864", + "right": "pull_request:8684", + "accept": false, + "reason": "PEFT compile note in docs vs a Pillow import fix in a pipeline docstring. Different scope." + }, + { + "left": "pull_request:6961", + "right": "pull_request:7295", + "accept": false, + "reason": "Single-file loader fast tests vs UNet single-file loader doc cleanup. Related area, but not the same bug/change." + }, + { + "left": "pull_request:7044", + "right": "pull_request:7134", + "accept": false, + "reason": "Re-adding UNet refactor code vs type-hint-only cleanup. Not duplicate changes." + }, + { + "left": "pull_request:7202", + "right": "pull_request:8698", + "accept": false, + "reason": "Requirements cleanup vs transformer output-class deprecation removal. Different concerns." + }, + { + "left": "pull_request:7206", + "right": "pull_request:8650", + "accept": false, + "reason": "Training-script tag metadata vs SD3 DreamBooth test suite. No shared implementation change." + }, + { + "left": "pull_request:7410", + "right": "pull_request:9247", + "accept": false, + "reason": "FreeInit behavior fix is unrelated to the model-variant discovery fix." + }, + { + "left": "pull_request:8404", + "right": "pull_request:8932", + "accept": false, + "reason": "Latte video-generation implementation vs temporal transformer tests. One is a feature, the other is coverage." + }, + { + "left": "pull_request:8522", + "right": "pull_request:8932", + "accept": false, + "reason": "Transformers version pin vs temporal transformer tests. Completely different changes." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9896", + "accept": false, + "reason": "Dreambooth Flux prompt encoding fix vs reverting Flux device/typecasting cleanup. Same subsystem, but different code-path problems." + }, + { + "left": "pull_request:11602", + "right": "pull_request:12301", + "accept": false, + "reason": "Sana Sprint img2img pipeline vs Qwen-Image ControlNet inpainting. Different pipelines and functionality." + }, + { + "left": "pull_request:2334", + "right": "pull_request:2397", + "accept": false, + "reason": "These are both Pix2Pix Zero-related, but the second is a follow-up inversion/scheduler update, not the same exact change set." + }, + { + "left": "pull_request:11916", + "right": "pull_request:12439", + "accept": false, + "reason": "Flux/Chroma refactor plus attention dispatcher work vs adding kernels-backed attention support. Related area, but not the same concrete bug or mergeable single PR." + }, + { + "left": "pull_request:12534", + "right": "pull_request:12919", + "accept": false, + "reason": "Flux NPU positional-embedding workaround vs NPU attention backend support. Same hardware target, different code paths." + }, + { + "left": "pull_request:10148", + "right": "pull_request:10850", + "accept": false, + "reason": "OmniGen feature addition vs hook helper utilities. Unrelated changes." + }, + { + "left": "pull_request:10230", + "right": "pull_request:11269", + "accept": false, + "reason": "LoRA docs additions vs onnxruntime package support in import utils. Different domains." + }, + { + "left": "pull_request:10326", + "right": "pull_request:8755", + "accept": false, + "reason": "MPS workflow quoting fix vs SD3 DreamBooth LoRA training bug fix. No overlap in underlying issue." + }, + { + "left": "pull_request:10539", + "right": "pull_request:9257", + "accept": false, + "reason": "Flux true-CFG condition fix and Flux Dreambooth prompt-tokenization fix are different bugs in different call paths." + }, + { + "left": "pull_request:10547", + "right": "pull_request:9524", + "accept": false, + "reason": "Offload test tweaks for CogVideoX/CogView3 vs CogVideoX VAE conv_cache refactor. Tests vs model internals, not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 169, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10966", + "pull_request:11269", + "pull_request:11449", + "pull_request:11479", + "pull_request:11495", + "pull_request:12092", + "pull_request:12586", + "pull_request:12911", + "pull_request:13022", + "pull_request:13211", + "pull_request:1623", + "pull_request:1850", + "pull_request:2119", + "pull_request:2470", + "pull_request:2983", + "pull_request:3077", + "pull_request:3471", + "pull_request:3675", + "pull_request:3723", + "pull_request:3957", + "pull_request:4112", + "pull_request:4248", + "pull_request:4396", + "pull_request:4595", + "pull_request:51", + "pull_request:5164", + "pull_request:538", + "pull_request:6007", + "pull_request:6081", + "pull_request:6261", + "pull_request:6265", + "pull_request:6311", + "pull_request:6864", + "pull_request:689", + "pull_request:7050", + "pull_request:7652", + "pull_request:7712", + "pull_request:7778", + "pull_request:8404", + "pull_request:9065", + "pull_request:9074", + "pull_request:9207", + "pull_request:9400", + "pull_request:9489", + "pull_request:9579", + "pull_request:9687", + "pull_request:9988" + ], + "soft_pairs": [ + "pull_request:10966|pull_request:11479", + "pull_request:11269|pull_request:9687", + "pull_request:11449|pull_request:11495", + "pull_request:12092|pull_request:12586", + "pull_request:12092|pull_request:12911", + "pull_request:13022|pull_request:13211", + "pull_request:1623|pull_request:538", + "pull_request:1850|pull_request:2983", + "pull_request:2119|pull_request:538", + "pull_request:2470|pull_request:2983", + "pull_request:3077|pull_request:3675", + "pull_request:3471|pull_request:4112", + "pull_request:3723|pull_request:4112", + "pull_request:3957|pull_request:4595", + "pull_request:4248|pull_request:6081", + "pull_request:4396|pull_request:6261", + "pull_request:51|pull_request:689", + "pull_request:5164|pull_request:6007", + "pull_request:6265|pull_request:8404", + "pull_request:6311|pull_request:7778", + "pull_request:6864|pull_request:9065", + "pull_request:7050|pull_request:7712", + "pull_request:7050|pull_request:9207", + "pull_request:7652|pull_request:9400", + "pull_request:9489|pull_request:9579", + "pull_request:9074|pull_request:9988" + ], + "prepared_review_unit_hash": "3e06e6e918b0a5eb31ffda321732eae901e1dce5e11e942cc9df5ecf1f238b29", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 96518, + "estimated_input_tokens": 24130, + "estimated_eval_tokens": 48516 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab bag of unrelated PRs (docs, dependency bumps, training scripts, feature additions, and infra fixes). None of the soft-edge pairs look like the same underlying bug or change, so I rejected them all.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true duplicate-PR canonical exists here; if one PR must stand in for the set, 9074 is the most substantial coherent code fix rather than a docs-only or infra-only change.", + "best_issue_reason": null, + "best_pr_reason": "9074 ('Flux followup') is the strongest representative: it has a focused runtime/code-path fix with real implementation and test impact, unlike the mostly orthogonal docs and maintenance PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10966", + "right": "pull_request:11479", + "accept": false, + "reason": "Different changes: CogView4 input validation vs Intel Gaudi doc rename." + }, + { + "left": "pull_request:11269", + "right": "pull_request:9687", + "accept": false, + "reason": "Unrelated: ONNX runtime package detection vs Xlabs ControlNet support in Flux." + }, + { + "left": "pull_request:11449", + "right": "pull_request:11495", + "accept": false, + "reason": "Same broad theme (image interpolation) but different training scripts and scopes; not the same fix." + }, + { + "left": "pull_request:12092", + "right": "pull_request:12586", + "accept": false, + "reason": "Docs-only, but different docs changes: GGUF guide content vs toctree reordering." + }, + { + "left": "pull_request:12092", + "right": "pull_request:12911", + "accept": false, + "reason": "GGUF docs vs a large discrete-diffusion feature PR; clearly different changes." + }, + { + "left": "pull_request:13022", + "right": "pull_request:13211", + "accept": false, + "reason": "Dockerfile/tooling fix vs group-offloading runtime bug fix; unrelated." + }, + { + "left": "pull_request:1623", + "right": "pull_request:538", + "accept": false, + "reason": "Different dependency updates for different packages and files; not the same issue." + }, + { + "left": "pull_request:1850", + "right": "pull_request:2983", + "accept": false, + "reason": "Test coverage for ResnetBlock2D vs CONTRIBUTING.md instructions; unrelated." + }, + { + "left": "pull_request:2119", + "right": "pull_request:538", + "accept": false, + "reason": "Different Hub-related changes: local_files_only behavior vs version pin bump." + }, + { + "left": "pull_request:2470", + "right": "pull_request:2983", + "accept": false, + "reason": "MPS test skips vs docs on installing test deps; unrelated." + }, + { + "left": "pull_request:3077", + "right": "pull_request:3675", + "accept": false, + "reason": "Training-script logic change vs a test-only V100 fix; not the same change." + }, + { + "left": "pull_request:3471", + "right": "pull_request:4112", + "accept": false, + "reason": "Dreambooth docs note vs adding LoRA rank support; different scopes." + }, + { + "left": "pull_request:3723", + "right": "pull_request:4112", + "accept": false, + "reason": "Community reference wrapper update vs Dreambooth LoRA feature work; unrelated." + }, + { + "left": "pull_request:3957", + "right": "pull_request:4595", + "accept": false, + "reason": "Unfinished attention-name refactor vs XL-to-stable-diffusion conversion WIP; different code paths." + }, + { + "left": "pull_request:4248", + "right": "pull_request:6081", + "accept": false, + "reason": "Tracker-config cleanup in Dreambooth vs SDXL sigma handling for torch.compile; unrelated." + }, + { + "left": "pull_request:4396", + "right": "pull_request:6261", + "accept": false, + "reason": "Prompt-encoding dtype fallback fix across pipelines vs moving Attend-and-Excite into its own module." + }, + { + "left": "pull_request:51", + "right": "pull_request:689", + "accept": false, + "reason": "Packaging metadata fix vs attention performance tweak; unrelated." + }, + { + "left": "pull_request:5164", + "right": "pull_request:6007", + "accept": false, + "reason": "Core FreeU mechanism vs docs wording about copied-from; not the same change." + }, + { + "left": "pull_request:6265", + "right": "pull_request:8404", + "accept": false, + "reason": "Both touch pipeline exports, but one is a GLIGEN refactor and the other is a new Latte feature; different PRs." + }, + { + "left": "pull_request:6311", + "right": "pull_request:7778", + "accept": false, + "reason": "New diffusion tutorial docs vs debugging workflow; unrelated." + }, + { + "left": "pull_request:6864", + "right": "pull_request:9065", + "accept": false, + "reason": "PEFT docs update vs adding sentencepiece soft-dependency support; different artifacts and goals." + }, + { + "left": "pull_request:7050", + "right": "pull_request:7712", + "accept": false, + "reason": "Typo/docs cleanup in text-to-image examples vs import fixes; unrelated." + }, + { + "left": "pull_request:7050", + "right": "pull_request:9207", + "accept": false, + "reason": "Text-to-image typo cleanup vs CPU offloading docs/fixes; different changes." + }, + { + "left": "pull_request:7652", + "right": "pull_request:9400", + "accept": false, + "reason": "Docker buildx workflow change vs device-agnostic test changes; unrelated." + }, + { + "left": "pull_request:9489", + "right": "pull_request:9579", + "accept": false, + "reason": "SD3 ControlNet training fix vs embeddings documentation update; unrelated." + }, + { + "left": "pull_request:9074", + "right": "pull_request:9988", + "accept": false, + "reason": "Shared Flux area, but different scopes: followup processor/runtime cleanup vs a broad Flux Redux feature/conversion PR; not mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 170, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10259", + "pull_request:10326", + "pull_request:10354", + "pull_request:10557", + "pull_request:10808", + "pull_request:10894", + "pull_request:1129", + "pull_request:11655", + "pull_request:11663", + "pull_request:11726", + "pull_request:11738", + "pull_request:11869", + "pull_request:11913", + "pull_request:1206", + "pull_request:12119", + "pull_request:12324", + "pull_request:12387", + "pull_request:12418", + "pull_request:12534", + "pull_request:13134", + "pull_request:13208", + "pull_request:1324", + "pull_request:13296", + "pull_request:13365", + "pull_request:1579", + "pull_request:2279", + "pull_request:3746", + "pull_request:3968", + "pull_request:4346", + "pull_request:4944", + "pull_request:5298", + "pull_request:5439", + "pull_request:5713", + "pull_request:5887", + "pull_request:6757", + "pull_request:6868", + "pull_request:6929", + "pull_request:7062", + "pull_request:7068", + "pull_request:7712", + "pull_request:8419", + "pull_request:8452", + "pull_request:8564", + "pull_request:8652", + "pull_request:8684", + "pull_request:8836", + "pull_request:9206", + "pull_request:9473" + ], + "soft_pairs": [ + "pull_request:1324|pull_request:1579", + "pull_request:11663|pull_request:11738", + "pull_request:1129|pull_request:1206", + "pull_request:13134|pull_request:13296", + "pull_request:2279|pull_request:3746", + "pull_request:4944|pull_request:6868", + "pull_request:6757|pull_request:8419", + "pull_request:7068|pull_request:7712", + "pull_request:7712|pull_request:8836", + "pull_request:8452|pull_request:8652", + "pull_request:8564|pull_request:9473", + "pull_request:10808|pull_request:12119", + "pull_request:11655|pull_request:12534", + "pull_request:3968|pull_request:4346", + "pull_request:5713|pull_request:5887", + "pull_request:5298|pull_request:5439", + "pull_request:10259|pull_request:10808", + "pull_request:11869|pull_request:12387", + "pull_request:12324|pull_request:13208", + "pull_request:10326|pull_request:10557", + "pull_request:10326|pull_request:10894", + "pull_request:10354|pull_request:9206", + "pull_request:10557|pull_request:9206", + "pull_request:12418|pull_request:13365", + "pull_request:6929|pull_request:7062", + "pull_request:6929|pull_request:8684", + "pull_request:11726|pull_request:11913" + ], + "prepared_review_unit_hash": "57a68e8697d5895eed4ac65b524b750e15f13ca1877f5822e80d9a6052b6b58f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 104992, + "estimated_input_tokens": 26248, + "estimated_eval_tokens": 52752 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous and does not form a single duplicate topic. The only strong duplicate-like pair is the bnb test determinism fixes, where one PR centralizes the same stability change made by the other; all other soft edges are rejectable as different features, pipelines, docs, or CI fixes.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11738 is the cleaner consolidated fix for the bnb test nondeterminism and subsumes the more piecemeal per-test changes in 11663.", + "best_issue_reason": null, + "best_pr_reason": "PR 11738 is the best representative of the only genuinely overlapping change in the set: making the bnb 4bit/int8 tests deterministic.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1324", + "right": "pull_request:1579", + "accept": false, + "reason": "Unrelated areas: Stable Diffusion INT8 quantization README vs Intel optimization examples." + }, + { + "left": "pull_request:11663", + "right": "pull_request:11738", + "accept": true, + "reason": "Same underlying fix: stabilize bitsandbytes 4bit/int8 test outputs by enforcing deterministic algorithms; 11738 consolidates the same change." + }, + { + "left": "pull_request:1129", + "right": "pull_request:1206", + "accept": false, + "reason": "Different changes: DreamBooth flax batch sizing vs LDM checkpoint layer-name conversion." + }, + { + "left": "pull_request:13134", + "right": "pull_request:13296", + "accept": false, + "reason": "Unrelated: Cosmos transformer typing vs release-test workflow updates." + }, + { + "left": "pull_request:2279", + "right": "pull_request:3746", + "accept": false, + "reason": "Different subsystems: lint/tooling migration vs from_ckpt path joining." + }, + { + "left": "pull_request:4944", + "right": "pull_request:6868", + "accept": false, + "reason": "Both IP-Adapter related, but 4944 is core support while 6868 adds a pipeline call-path extension; not the same concrete change." + }, + { + "left": "pull_request:6757", + "right": "pull_request:8419", + "accept": false, + "reason": "Unrelated: K-diffusion sigma device placement vs dynamic module download refactor." + }, + { + "left": "pull_request:7068", + "right": "pull_request:7712", + "accept": false, + "reason": "Typos/doc cleanup vs import fixes; not the same bug or change." + }, + { + "left": "pull_request:7712", + "right": "pull_request:8836", + "accept": false, + "reason": "Import cleanup is unrelated to the sliced attention loop bug." + }, + { + "left": "pull_request:8452", + "right": "pull_request:8652", + "accept": false, + "reason": "Single-file loading fix vs new Lumina model/pipeline additions." + }, + { + "left": "pull_request:8564", + "right": "pull_request:9473", + "accept": false, + "reason": "Different DreamBooth training issues: SD3 T5 token limit vs Flux Prodigy LR handling." + }, + { + "left": "pull_request:10808", + "right": "pull_request:12119", + "accept": false, + "reason": "PEFT config key restriction vs Qwen-Image-Lightning LoRA loading support." + }, + { + "left": "pull_request:11655", + "right": "pull_request:12534", + "accept": false, + "reason": "Bitsandbytes 8-bit LoRA loading vs Flux NPU rotary embedding handling." + }, + { + "left": "pull_request:3968", + "right": "pull_request:4346", + "accept": false, + "reason": "SDXL pipeline cleanup vs optional watermarker behavior; same product area, different changes." + }, + { + "left": "pull_request:5713", + "right": "pull_request:5887", + "accept": false, + "reason": "Core IP-Adapter support and a later ControlNet Inpaint integration are related, but not the same concrete code-path change." + }, + { + "left": "pull_request:5298", + "right": "pull_request:5439", + "accept": false, + "reason": "LoRA convolution compile fix vs single-file tokenizer/config loading; unrelated." + }, + { + "left": "pull_request:10259", + "right": "pull_request:10808", + "accept": false, + "reason": "Flux LoRA loading support vs PEFT config update; different fixes." + }, + { + "left": "pull_request:11869", + "right": "pull_request:12387", + "accept": false, + "reason": "GGUF CUDA kernel support vs flash-attention backend support through kernels; different features and code paths." + }, + { + "left": "pull_request:12324", + "right": "pull_request:13208", + "accept": false, + "reason": "Wan VACE conversion/model support vs Helios video generation pipelines; unrelated model families." + }, + { + "left": "pull_request:10326", + "right": "pull_request:10557", + "accept": false, + "reason": "CI workflow quoting fix vs InstructPix2Pix single-file test config; unrelated." + }, + { + "left": "pull_request:10326", + "right": "pull_request:10894", + "accept": false, + "reason": "CI workflow quoting fix vs docs toctree sorting; unrelated." + }, + { + "left": "pull_request:10354", + "right": "pull_request:9206", + "accept": false, + "reason": "Flux IP-Adapter tester dtype/device fix vs xformers test skips; different failures." + }, + { + "left": "pull_request:10557", + "right": "pull_request:9206", + "accept": false, + "reason": "Single-file test metadata fix vs xformers test flakiness; unrelated." + }, + { + "left": "pull_request:12418", + "right": "pull_request:13365", + "accept": false, + "reason": "CI xfail for failing tests vs Claude review fork support; unrelated infrastructure changes." + }, + { + "left": "pull_request:6929", + "right": "pull_request:7062", + "accept": false, + "reason": "Community pipeline docs vs imagic docstring correction; unrelated docs edits." + }, + { + "left": "pull_request:6929", + "right": "pull_request:8684", + "accept": false, + "reason": "Community pipeline docs vs Pillow import fix; unrelated." + }, + { + "left": "pull_request:11726", + "right": "pull_request:11913", + "accept": false, + "reason": "Wan LoRA conversion logic vs modular Wan pipeline implementation; related ecosystem, but not the same change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and the only accepted soft edge, PR 11663 \u2194 PR 11738, is a conservative same-bugfix duplicate. The other rejections are appropriately cautious and do not overstate mergeability." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 171, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10114", + "pull_request:10419", + "pull_request:10723", + "pull_request:10758", + "pull_request:10922", + "pull_request:10943", + "pull_request:11095", + "pull_request:11252", + "pull_request:1129", + "pull_request:1171", + "pull_request:11770", + "pull_request:11913", + "pull_request:11995", + "pull_request:12062", + "pull_request:12395", + "pull_request:1250", + "pull_request:12934", + "pull_request:1309", + "pull_request:13229", + "pull_request:1338", + "pull_request:1588", + "pull_request:1968", + "pull_request:2037", + "pull_request:2339", + "pull_request:2347", + "pull_request:2384", + "pull_request:2489", + "pull_request:2529", + "pull_request:2565", + "pull_request:2590", + "pull_request:2593", + "pull_request:2861", + "pull_request:3121", + "pull_request:326", + "pull_request:3299", + "pull_request:3506", + "pull_request:3563", + "pull_request:3589", + "pull_request:3681", + "pull_request:3711", + "pull_request:4112", + "pull_request:4395", + "pull_request:4465", + "pull_request:530", + "pull_request:5499", + "pull_request:788", + "pull_request:9968" + ], + "soft_pairs": [ + "pull_request:10723|pull_request:10758", + "pull_request:11913|pull_request:11995", + "pull_request:10114|pull_request:11252", + "pull_request:10419|pull_request:11770", + "pull_request:10922|pull_request:10943", + "pull_request:11095|pull_request:9968", + "pull_request:1129|pull_request:1171", + "pull_request:12062|pull_request:12395", + "pull_request:1250|pull_request:326", + "pull_request:12934|pull_request:13229", + "pull_request:1309|pull_request:788", + "pull_request:1338|pull_request:530", + "pull_request:1588|pull_request:2861", + "pull_request:1968|pull_request:2565", + "pull_request:2037|pull_request:326", + "pull_request:2339|pull_request:4395", + "pull_request:2347|pull_request:4112", + "pull_request:2384|pull_request:3711", + "pull_request:2489|pull_request:3121", + "pull_request:2529|pull_request:4465", + "pull_request:2590|pull_request:3681", + "pull_request:2593|pull_request:3506", + "pull_request:3299|pull_request:3589", + "pull_request:3563|pull_request:5499" + ], + "prepared_review_unit_hash": "844999e387b261f711415d318517fa6ff5c9a305c627a8bd1d7f18322bb346f2", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 104852, + "estimated_input_tokens": 26213, + "estimated_eval_tokens": 52682 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft-edge pairs are largely false positives: they share broad keywords or subsystems (Wan, ControlNet, docs, CI, DreamBooth) but do not appear to fix the same concrete bug or implement the same change. I would not merge any of these pairs as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR stands out because the cluster is heterogeneous; if forced, PR 11995 is the broadest self-contained feature, but it is not a true duplicate anchor.", + "best_issue_reason": null, + "best_pr_reason": "PR 11995 is the closest thing to a broad representative, but this set is too mixed for any PR to serve as a strong canonical duplicate target.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10723", + "right": "pull_request:10758", + "accept": false, + "reason": "Different changes: ControlNet Union scaling vs from_pretrained type-checking docs/code." + }, + { + "left": "pull_request:11913", + "right": "pull_request:11995", + "accept": false, + "reason": "Both are modular-pipeline work, but they target different models and features (Wan vs Flux)." + }, + { + "left": "pull_request:10114", + "right": "pull_request:11252", + "accept": false, + "reason": "Unrelated edits: Stable Audio formatting vs a timeout constant fix in a utility script." + }, + { + "left": "pull_request:10419", + "right": "pull_request:11770", + "accept": false, + "reason": "Both touch docs, but one fixes scheduler docstrings and the other cleans up LoRA docs/base helpers." + }, + { + "left": "pull_request:10922", + "right": "pull_request:10943", + "accept": false, + "reason": "Same Wan ecosystem, but one adds Wan pipeline/model support and the other adds LoRA support; distinct changes." + }, + { + "left": "pull_request:11095", + "right": "pull_request:9968", + "accept": false, + "reason": "A small Flux ControlNet doc fix is not the same as a broad ControlNet module refactor." + }, + { + "left": "pull_request:1129", + "right": "pull_request:1171", + "accept": false, + "reason": "DreamBooth batch-size bug fix vs a typography/doc cleanup; unrelated underlying changes." + }, + { + "left": "pull_request:12062", + "right": "pull_request:12395", + "accept": false, + "reason": "Different CI concerns: GPU selection in workflows vs prerelease dependency installation." + }, + { + "left": "pull_request:1250", + "right": "pull_request:326", + "accept": false, + "reason": "Community pipeline addition is unrelated to a PNDM type-hint/doc change." + }, + { + "left": "pull_request:12934", + "right": "pull_request:13229", + "accept": false, + "reason": "Both are video-model releases, but they introduce different model support and code paths." + }, + { + "left": "pull_request:1309", + "right": "pull_request:788", + "accept": false, + "reason": "Both mention PIL, but one improves PIL handling broadly while the other fixes a specific warning issue." + }, + { + "left": "pull_request:1338", + "right": "pull_request:530", + "accept": false, + "reason": "ONNX inpainting cast order and img2img test flakiness are unrelated." + }, + { + "left": "pull_request:1588", + "right": "pull_request:2861", + "accept": false, + "reason": "FP16 test adjustments and StableUnCLIP image_embeds handling are different bugs." + }, + { + "left": "pull_request:1968", + "right": "pull_request:2565", + "accept": false, + "reason": "CPU offload docs/code and a UNet1D doc correction are unrelated." + }, + { + "left": "pull_request:2037", + "right": "pull_request:326", + "accept": false, + "reason": "A Stable UnCLIP community pipeline and PNDM type hints are not the same change." + }, + { + "left": "pull_request:2339", + "right": "pull_request:4395", + "accept": false, + "reason": "Both are DreamBooth-related, but one is checkpointing/docs and the other is class-prompt pre-encoding logic." + }, + { + "left": "pull_request:2347", + "right": "pull_request:4112", + "accept": false, + "reason": "Scheduler noising-schedule work is unrelated to adding rank to DreamBooth LoRA." + }, + { + "left": "pull_request:2384", + "right": "pull_request:3711", + "accept": false, + "reason": "A Pix2Pix0 utility revert and a doc-build workflow revert are unrelated." + }, + { + "left": "pull_request:2489", + "right": "pull_request:3121", + "accept": false, + "reason": "Core ML docs and ControlNet global pooling fix different concerns entirely." + }, + { + "left": "pull_request:2529", + "right": "pull_request:4465", + "accept": false, + "reason": "Stable Diffusion checkpoint conversion and ControlNet-to-TensorRT conversion are different conversion pipelines." + }, + { + "left": "pull_request:2590", + "right": "pull_request:3681", + "accept": false, + "reason": "CI deps-table checking and checkpoint-limit handling are unrelated." + }, + { + "left": "pull_request:2593", + "right": "pull_request:3506", + "accept": false, + "reason": "ControlNet checkpoint conversion and DreamBooth checkpoint resume logic are unrelated." + }, + { + "left": "pull_request:3299", + "right": "pull_request:3589", + "accept": false, + "reason": "DreamBooth LoRA doc/example updates and README reference tricks are separate doc changes." + }, + { + "left": "pull_request:3563", + "right": "pull_request:5499", + "accept": false, + "reason": "A VQ pipeline bug fix and general docs link fixes do not share the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 172, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10324", + "pull_request:10630", + "pull_request:11124", + "pull_request:11469", + "pull_request:11995", + "pull_request:12041", + "pull_request:12277", + "pull_request:12416", + "pull_request:12523", + "pull_request:1277", + "pull_request:1579", + "pull_request:1966", + "pull_request:2727", + "pull_request:3850", + "pull_request:3928", + "pull_request:4040", + "pull_request:4078", + "pull_request:4690", + "pull_request:5053", + "pull_request:5122", + "pull_request:5312", + "pull_request:5440", + "pull_request:5695", + "pull_request:5698", + "pull_request:6007", + "pull_request:6081", + "pull_request:6099", + "pull_request:6145", + "pull_request:6217", + "pull_request:652", + "pull_request:6658", + "pull_request:6893", + "pull_request:6918", + "pull_request:6965", + "pull_request:7158", + "pull_request:7335", + "pull_request:7455", + "pull_request:754", + "pull_request:7916", + "pull_request:7919", + "pull_request:7930", + "pull_request:8282", + "pull_request:8531", + "pull_request:8761", + "pull_request:9206", + "pull_request:9473", + "pull_request:9751" + ], + "soft_pairs": [ + "pull_request:3850|pull_request:5695", + "pull_request:3850|pull_request:6099", + "pull_request:3928|pull_request:4040", + "pull_request:4078|pull_request:5122", + "pull_request:4690|pull_request:6081", + "pull_request:5312|pull_request:6658", + "pull_request:5698|pull_request:6145", + "pull_request:6007|pull_request:8282", + "pull_request:6217|pull_request:8531", + "pull_request:652|pull_request:754", + "pull_request:6893|pull_request:8761", + "pull_request:6918|pull_request:7919", + "pull_request:6965|pull_request:7158", + "pull_request:7335|pull_request:7930", + "pull_request:7455|pull_request:9473", + "pull_request:7916|pull_request:9751", + "pull_request:1966|pull_request:2727", + "pull_request:12041|pull_request:12523", + "pull_request:11995|pull_request:12416", + "pull_request:5053|pull_request:5440", + "pull_request:10324|pull_request:9206", + "pull_request:10630|pull_request:11124", + "pull_request:11469|pull_request:12277", + "pull_request:1277|pull_request:1579" + ], + "prepared_review_unit_hash": "dca7a9469f7b4427eb618e5e1af86ee4217f477149b7058c930c6f0ee6e41955", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 101413, + "estimated_input_tokens": 25354, + "estimated_eval_tokens": 50964 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated test tweaks, docs edits, scheduler/model fixes, and feature PRs across many subsystems. I don\u2019t see any true duplicate pair here, so there is no sensible canonical artifact for the cluster.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:3850", + "right": "pull_request:5695", + "accept": false, + "reason": "Different pipelines and fixes: AudioDiffusion test setup vs PixArt-Alpha mask-feature logic." + }, + { + "left": "pull_request:3850", + "right": "pull_request:6099", + "accept": false, + "reason": "AudioDiffusion test fix is unrelated to TextToVideoZero constructor/super-class argument handling." + }, + { + "left": "pull_request:3928", + "right": "pull_request:4040", + "accept": false, + "reason": "ControlNet guidance-timestep bug and `_use_default_values` type change are different code paths and bug classes." + }, + { + "left": "pull_request:4078", + "right": "pull_request:5122", + "accept": false, + "reason": "Single-file accelerate requirement is unrelated to workflow Python-version bumps." + }, + { + "left": "pull_request:4690", + "right": "pull_request:6081", + "accept": false, + "reason": "DPMSolver scheduler refactor is not the same issue as the Stable Diffusion XL torch.compile sigma workaround." + }, + { + "left": "pull_request:5312", + "right": "pull_request:6658", + "accept": false, + "reason": "Docs/typehint cleanup in models is unrelated to adding memory-footprint utilities." + }, + { + "left": "pull_request:5698", + "right": "pull_request:6145", + "accept": false, + "reason": "LCM img2img bug fix is unrelated to comment cleanup in distillation scripts." + }, + { + "left": "pull_request:6007", + "right": "pull_request:8282", + "accept": false, + "reason": "Both are docs, but they cover different topics and changes, not the same underlying change." + }, + { + "left": "pull_request:6217", + "right": "pull_request:8531", + "accept": false, + "reason": "Torch-compile VAE fix and sharding/device_map loading fix affect different execution paths." + }, + { + "left": "pull_request:652", + "right": "pull_request:754", + "accept": false, + "reason": "Gradient-checkpointing test tolerance change is unrelated to community-pipeline dynamic module handling." + }, + { + "left": "pull_request:6893", + "right": "pull_request:8761", + "accept": false, + "reason": "3D UNet attention refactor and Hunyuan embedding refactor touch different models and problems." + }, + { + "left": "pull_request:6918", + "right": "pull_request:7919", + "accept": false, + "reason": "Hub-token security fix in training scripts is unrelated to offload behavior under `device_map`." + }, + { + "left": "pull_request:6965", + "right": "pull_request:7158", + "accept": false, + "reason": "A PEFT workflow test move and an LCM benchmark fix are unrelated test changes." + }, + { + "left": "pull_request:7335", + "right": "pull_request:7930", + "accept": false, + "reason": "ControlNet SDXL config/test cleanup and official callback tests do not fix the same bug." + }, + { + "left": "pull_request:7455", + "right": "pull_request:9473", + "accept": false, + "reason": "Removing distutils and Flux Dreambooth LR logic are unrelated changes." + }, + { + "left": "pull_request:7916", + "right": "pull_request:9751", + "accept": false, + "reason": "Both add NPU support, but for different models/pipelines and different code paths." + }, + { + "left": "pull_request:1966", + "right": "pull_request:2727", + "accept": false, + "reason": "Flax inpainting implementation and Flax ControlNet are separate feature additions." + }, + { + "left": "pull_request:12041", + "right": "pull_request:12523", + "accept": false, + "reason": "Both touch AutoencoderKLWan, but one fixes patchify logic while the other changes skip-key handling; not the same concrete bug." + }, + { + "left": "pull_request:11995", + "right": "pull_request:12416", + "accept": false, + "reason": "Different modular-pipeline additions: Flux text-to-image vs QwenImage Edit Plus." + }, + { + "left": "pull_request:5053", + "right": "pull_request:5440", + "accept": false, + "reason": "Validation-image arg parsing and single-file loading are unrelated changes." + }, + { + "left": "pull_request:10324", + "right": "pull_request:9206", + "accept": false, + "reason": "Kandinsky CPU offload API fix is unrelated to broken xformers test suppression." + }, + { + "left": "pull_request:10630", + "right": "pull_request:11124", + "accept": false, + "reason": "Flax test slice updates and CogView4 tokenizer test fix are unrelated test-only changes." + }, + { + "left": "pull_request:11469", + "right": "pull_request:12277", + "accept": false, + "reason": "Both disable tests, but for different pipelines and reasons; they do not share one concrete bug." + }, + { + "left": "pull_request:1277", + "right": "pull_request:1579", + "accept": false, + "reason": "INT8 quantization docs and Intel optimization example additions are different documentation/features." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 173, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10188", + "pull_request:10318", + "pull_request:10360", + "pull_request:10378", + "pull_request:10719", + "pull_request:10921", + "pull_request:11087", + "pull_request:11196", + "pull_request:11319", + "pull_request:11421", + "pull_request:11479", + "pull_request:11504", + "pull_request:12099", + "pull_request:12363", + "pull_request:12397", + "pull_request:12491", + "pull_request:12493", + "pull_request:12687", + "pull_request:13029", + "pull_request:13119", + "pull_request:13204", + "pull_request:1331", + "pull_request:1968", + "pull_request:2467", + "pull_request:3023", + "pull_request:3297", + "pull_request:3446", + "pull_request:349", + "pull_request:3607", + "pull_request:3673", + "pull_request:3708", + "pull_request:3804", + "pull_request:3847", + "pull_request:3912", + "pull_request:3957", + "pull_request:4040", + "pull_request:4596", + "pull_request:5057", + "pull_request:5653", + "pull_request:5754", + "pull_request:5948", + "pull_request:6144", + "pull_request:6150", + "pull_request:833", + "pull_request:8691", + "pull_request:8964", + "pull_request:9878" + ], + "soft_pairs": [ + "pull_request:5057|pull_request:5653", + "pull_request:10188|pull_request:8691", + "pull_request:10318|pull_request:10719", + "pull_request:10360|pull_request:8964", + "pull_request:10378|pull_request:11319", + "pull_request:10921|pull_request:11087", + "pull_request:11196|pull_request:12363", + "pull_request:11421|pull_request:9878", + "pull_request:11479|pull_request:11504", + "pull_request:12099|pull_request:12687", + "pull_request:12397|pull_request:12491", + "pull_request:12493|pull_request:13119", + "pull_request:13029|pull_request:13204", + "pull_request:1331|pull_request:349", + "pull_request:1968|pull_request:3673", + "pull_request:2467|pull_request:4040", + "pull_request:3023|pull_request:3957", + "pull_request:3023|pull_request:833", + "pull_request:3297|pull_request:4596", + "pull_request:3446|pull_request:5754", + "pull_request:3607|pull_request:3804", + "pull_request:3708|pull_request:5948", + "pull_request:3847|pull_request:6150", + "pull_request:3912|pull_request:6144" + ], + "prepared_review_unit_hash": "297f21d7ebf9c63c4c14a0f01d93deefdb658c26653a223fc7f4971e7f6bbfbd", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 97525, + "estimated_input_tokens": 24382, + "estimated_eval_tokens": 49020 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft duplicate pair looks like the same underlying bug/change. Most pairs only share a broad subsystem or theme (LoRA, Wan, docs, CI, attention), but the concrete edits and intent differ, so this cluster should not be merged into a single canonical PR.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a safe canonical representative here: the items are unrelated fixes/features across different code paths and docs, not one duplicate change.", + "best_issue_reason": null, + "best_pr_reason": "No PR stands out as a global best duplicate target because the cluster is not one coherent topic.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5057", + "right": "pull_request:5653", + "accept": false, + "reason": "Different changes: SDXL clip-skip support vs PEFT-aware model unwrapping in pipeline loading." + }, + { + "left": "pull_request:10188", + "right": "pull_request:8691", + "accept": false, + "reason": "Both touch LoRA loading, but one fixes mixed LoRA expansion handling in Flux and the other changes vanilla fine-tuned LoRA loading logic." + }, + { + "left": "pull_request:10318", + "right": "pull_request:10719", + "accept": false, + "reason": "Integration tests for Flux LoRA expansion are unrelated to adding provider_options to from_pretrained." + }, + { + "left": "pull_request:10360", + "right": "pull_request:8964", + "accept": false, + "reason": "Release workflow TestPyPI URL fix is unrelated to AudioLDM2 cache-position generation fix." + }, + { + "left": "pull_request:10378", + "right": "pull_request:11319", + "accept": false, + "reason": "Dreambooth LoRA training support is unrelated to adding a community-project docs entry." + }, + { + "left": "pull_request:10921", + "right": "pull_request:11087", + "accept": false, + "reason": "Wan 2.1 support is a large feature PR; the other is a small Wan I2V quality fix in one function." + }, + { + "left": "pull_request:11196", + "right": "pull_request:12363", + "accept": false, + "reason": "Safe-serialization behavior in ModelMixin is unrelated to QwenImageEdit Plus docs/tests." + }, + { + "left": "pull_request:11421", + "right": "pull_request:9878", + "accept": false, + "reason": "Interpolation default in dreambooth training is unrelated to gradient-checkpointing behavior across eval mode." + }, + { + "left": "pull_request:11479", + "right": "pull_request:11504", + "accept": false, + "reason": "Intel Gaudi doc rename is unrelated to dependency-table and CI trigger updates." + }, + { + "left": "pull_request:12099", + "right": "pull_request:12687", + "accept": false, + "reason": "Qwen device placement typo fix is unrelated to an autoencoder_dc typo rename." + }, + { + "left": "pull_request:12397", + "right": "pull_request:12491", + "accept": false, + "reason": "CI disabling main-branch installs is unrelated to adding a documentation link-check job." + }, + { + "left": "pull_request:12493", + "right": "pull_request:13119", + "accept": false, + "reason": "LTX-Video 0.9.8 docs/code updates are unrelated to Flux2 LoRA key conversion handling." + }, + { + "left": "pull_request:13029", + "right": "pull_request:13204", + "accept": false, + "reason": "Modular quickstart docs are unrelated to modular pipeline trust_remote_code handling." + }, + { + "left": "pull_request:1331", + "right": "pull_request:349", + "accept": false, + "reason": "Inpainting scheduler-order fix is unrelated to DDPM type-hint cleanup." + }, + { + "left": "pull_request:1968", + "right": "pull_request:3673", + "accept": false, + "reason": "CPU offload doc/correction work is unrelated to Dreambooth multi-GPU config handling." + }, + { + "left": "pull_request:2467", + "right": "pull_request:4040", + "accept": false, + "reason": "Latent output type feature PR is unrelated to keeping _use_default_values as a list." + }, + { + "left": "pull_request:3023", + "right": "pull_request:3957", + "accept": false, + "reason": "Both are attention-related, but one adds KV attention processor behavior and the other is an attn-name correction WIP; different code paths and goals." + }, + { + "left": "pull_request:3023", + "right": "pull_request:833", + "accept": false, + "reason": "Attention/KV processor work is unrelated to a release-version bump." + }, + { + "left": "pull_request:3297", + "right": "pull_request:4596", + "accept": false, + "reason": "Retrieval-augmented diffusion models project code is unrelated to an SDXL checkpoint conversion script." + }, + { + "left": "pull_request:3446", + "right": "pull_request:5754", + "accept": false, + "reason": "Pipeline loading warning-message cleanup is unrelated to styling fixes in example training scripts." + }, + { + "left": "pull_request:3607", + "right": "pull_request:3804", + "accept": false, + "reason": "Both mention attention, but one fixes temb attention and the other changes legacy attention block weight conversion for device maps." + }, + { + "left": "pull_request:3708", + "right": "pull_request:5948", + "accept": false, + "reason": "Custom release-version sorting is unrelated to from_pretrained variant warning logic." + }, + { + "left": "pull_request:3847", + "right": "pull_request:6150", + "accept": false, + "reason": "Soft-dependency tests/CI setup are unrelated to IP-Adapter converter implementation." + }, + { + "left": "pull_request:3912", + "right": "pull_request:6144", + "accept": false, + "reason": "Dreambooth LoRA text-encoder finetuning feature is unrelated to unwrapped UNet LoRA state saving." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 174, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10086", + "pull_request:10096", + "pull_request:10119", + "pull_request:10132", + "pull_request:10188", + "pull_request:10342", + "pull_request:10544", + "pull_request:10922", + "pull_request:11243", + "pull_request:12109", + "pull_request:12215", + "pull_request:12416", + "pull_request:12519", + "pull_request:13352", + "pull_request:3001", + "pull_request:3128", + "pull_request:4352", + "pull_request:4417", + "pull_request:4855", + "pull_request:4986", + "pull_request:5261", + "pull_request:5361", + "pull_request:5419", + "pull_request:5771", + "pull_request:5938", + "pull_request:6262", + "pull_request:6263", + "pull_request:6264", + "pull_request:6303", + "pull_request:6432", + "pull_request:6904", + "pull_request:6975", + "pull_request:7044", + "pull_request:7216", + "pull_request:7359", + "pull_request:7455", + "pull_request:7662", + "pull_request:7738", + "pull_request:8467", + "pull_request:8496", + "pull_request:8618", + "pull_request:8627", + "pull_request:9060", + "pull_request:9175", + "pull_request:9569", + "pull_request:9918", + "pull_request:9938", + "pull_request:9985" + ], + "soft_pairs": [ + "pull_request:4855|pull_request:6904", + "pull_request:5771|pull_request:6262", + "pull_request:5771|pull_request:6263", + "pull_request:5771|pull_request:6264", + "pull_request:6432|pull_request:7216", + "pull_request:7044|pull_request:7662", + "pull_request:7455|pull_request:7662", + "pull_request:7738|pull_request:8496", + "pull_request:8467|pull_request:9569", + "pull_request:8618|pull_request:9918", + "pull_request:9175|pull_request:9985", + "pull_request:5938|pull_request:6975", + "pull_request:12519|pull_request:13352", + "pull_request:4352|pull_request:4417", + "pull_request:5361|pull_request:5419", + "pull_request:6303|pull_request:7359", + "pull_request:3001|pull_request:4986", + "pull_request:3128|pull_request:5261", + "pull_request:12109|pull_request:12416", + "pull_request:12215|pull_request:12416", + "pull_request:10086|pull_request:10922", + "pull_request:10096|pull_request:8627", + "pull_request:10119|pull_request:10544", + "pull_request:10132|pull_request:9060", + "pull_request:10188|pull_request:11243", + "pull_request:10342|pull_request:9938" + ], + "prepared_review_unit_hash": "29fdd1a6f55ef8dc7d4a6370a5e3db034d1b8993cf14f78a2aca82e6fbe333c0", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 104279, + "estimated_input_tokens": 26070, + "estimated_eval_tokens": 52396 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft-edge candidates are mostly false positives: they share broad subsystems or adjacent themes, but they do not fix the same concrete bug or implement the same change. No issue is present, and there is no strong canonical PR anchor; the Flux/ControlNet pair is the closest on surface area but still too broad and different.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents a duplicate cluster here; the items span unrelated fixes/features, so there is no strong canonical PR anchor.", + "best_issue_reason": null, + "best_pr_reason": "PR 9985 is the broadest and most central feature PR in the set, but it is not a good duplicate representative because it bundles multiple Flux features rather than one specific fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4855", + "right": "pull_request:6904", + "accept": false, + "reason": "Unrelated fixes: CPU offload/state-hook handling vs PIL image loading support. Same repo area, different code paths." + }, + { + "left": "pull_request:5771", + "right": "pull_request:6262", + "accept": false, + "reason": "Refactor of loaders vs moving Panorama out of stable_diffusion; different subsystems and different changes." + }, + { + "left": "pull_request:5771", + "right": "pull_request:6263", + "accept": false, + "reason": "Refactor of loaders vs moving LDM3D out of stable_diffusion; not the same bug or change." + }, + { + "left": "pull_request:5771", + "right": "pull_request:6264", + "accept": false, + "reason": "Refactor of loaders vs moving SAG out of stable_diffusion; unrelated code paths." + }, + { + "left": "pull_request:6432", + "right": "pull_request:7216", + "accept": false, + "reason": "README learning-rate update vs from_single_file signature/documentation change. No shared concrete fix." + }, + { + "left": "pull_request:7044", + "right": "pull_request:7662", + "accept": false, + "reason": "Unet refactor restoration vs workflow cleanup in flax tests; unrelated changes." + }, + { + "left": "pull_request:7455", + "right": "pull_request:7662", + "accept": false, + "reason": "Distutils removal vs removing redundant packages in CI. Same general maintenance theme, but not the same change." + }, + { + "left": "pull_request:7738", + "right": "pull_request:8496", + "accept": false, + "reason": "LoRA device-placement fix vs SD3 warning-log guard. Different bugs and code paths." + }, + { + "left": "pull_request:8467", + "right": "pull_request:9569", + "accept": false, + "reason": "SEGA pipeline device fix vs CogVideoX autoencoder decode fix; unrelated models and failures." + }, + { + "left": "pull_request:8618", + "right": "pull_request:9918", + "accept": false, + "reason": "SD3 tiny autoencoder shift_factor change vs adding a server example; totally different deliverables." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9985", + "accept": false, + "reason": "Both touch Flux, but one adds Union ControlNet support while the other adds Fill/Canny/Depth/Redux variants. Broadly related, but not the same concrete feature or mergeable single PR." + }, + { + "left": "pull_request:5938", + "right": "pull_request:6975", + "accept": false, + "reason": "ControlNet LoRA support vs single-file ControlNet inpaint loading fix. Different functionality and code paths." + }, + { + "left": "pull_request:12519", + "right": "pull_request:13352", + "accept": false, + "reason": "Toctree sorting fix vs adding a checkout step to Claude review workflow; unrelated CI/docs changes." + }, + { + "left": "pull_request:4352", + "right": "pull_request:4417", + "accept": false, + "reason": "Kandinsky combined pipeline fixes vs Zero123 community pipeline support; unrelated features." + }, + { + "left": "pull_request:5361", + "right": "pull_request:5419", + "accept": false, + "reason": "Temporary PEFT integration testing PR vs adding PEFT CUDA slow tests on push. Same testing domain, but not the same change." + }, + { + "left": "pull_request:6303", + "right": "pull_request:7359", + "accept": false, + "reason": "ADD training script vs ResAdapter training script; both research examples, but different projects and code." + }, + { + "left": "pull_request:3001", + "right": "pull_request:4986", + "accept": false, + "reason": "Karras support in one scheduler vs a broad sigma-based refactor across multiple schedulers. Overlapping area, but not the same underlying change." + }, + { + "left": "pull_request:3128", + "right": "pull_request:5261", + "accept": false, + "reason": "Img2img timestep selection fix vs callback step indexing fix. Both scheduler-adjacent, but distinct bugs." + }, + { + "left": "pull_request:12109", + "right": "pull_request:12416", + "accept": false, + "reason": "UniPC custom sigmas/timesteps support vs QwenImage Edit Plus modular pipeline support; unrelated features." + }, + { + "left": "pull_request:12215", + "right": "pull_request:12416", + "accept": false, + "reason": "Qwen-Image ControlNet support vs QwenImage Edit Plus modular support. Same product family, but different concrete capabilities." + }, + { + "left": "pull_request:10086", + "right": "pull_request:10922", + "accept": false, + "reason": "SD3 skip-guidance bug fix vs Wan2.1 continuation PR; unrelated." + }, + { + "left": "pull_request:10096", + "right": "pull_request:8627", + "accept": false, + "reason": "Stale-bot label exemption vs SD3 ControlNet test trimming. No shared change." + }, + { + "left": "pull_request:10119", + "right": "pull_request:10544", + "accept": false, + "reason": "Docs for load_lora_adapter vs ParaAttention docs. Both documentation-only, but unrelated topics." + }, + { + "left": "pull_request:10132", + "right": "pull_request:9060", + "accept": false, + "reason": "Tokenizers CI update vs removing a debug print in transformer_flux. Different concerns and code paths." + }, + { + "left": "pull_request:10188", + "right": "pull_request:11243", + "accept": false, + "reason": "Flux LoRA error handling/test vs Wan LoRA conversion support. Both LoRA-related, but they fix different model families and behaviors." + }, + { + "left": "pull_request:10342", + "right": "pull_request:9938", + "accept": false, + "reason": "get_parameter_dtype behavior update vs SDXL reference pipeline docs/example update. Unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 175, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10351", + "pull_request:10547", + "pull_request:10557", + "pull_request:10810", + "pull_request:10894", + "pull_request:11059", + "pull_request:11252", + "pull_request:11743", + "pull_request:11813", + "pull_request:11894", + "pull_request:12018", + "pull_request:12231", + "pull_request:12315", + "pull_request:12424", + "pull_request:12450", + "pull_request:13119", + "pull_request:13120", + "pull_request:13204", + "pull_request:1414", + "pull_request:1415", + "pull_request:1468", + "pull_request:1494", + "pull_request:1945", + "pull_request:1951", + "pull_request:1965", + "pull_request:2101", + "pull_request:225", + "pull_request:2314", + "pull_request:2470", + "pull_request:2529", + "pull_request:2553", + "pull_request:2637", + "pull_request:2730", + "pull_request:2734", + "pull_request:2915", + "pull_request:3245", + "pull_request:3398", + "pull_request:3614", + "pull_request:3691", + "pull_request:3766", + "pull_request:4188", + "pull_request:889", + "pull_request:8964", + "pull_request:908", + "pull_request:957", + "pull_request:9676", + "pull_request:9684", + "pull_request:9687" + ], + "soft_pairs": [ + "pull_request:10351|pull_request:10557", + "pull_request:10547|pull_request:8964", + "pull_request:10557|pull_request:9676", + "pull_request:10810|pull_request:9684", + "pull_request:10810|pull_request:9687", + "pull_request:10894|pull_request:9676", + "pull_request:11059|pull_request:12315", + "pull_request:11252|pull_request:12424", + "pull_request:11743|pull_request:11813", + "pull_request:11894|pull_request:12450", + "pull_request:12018|pull_request:12231", + "pull_request:12315|pull_request:13119", + "pull_request:13120|pull_request:13204", + "pull_request:1414|pull_request:957", + "pull_request:1415|pull_request:2529", + "pull_request:1468|pull_request:1494", + "pull_request:1945|pull_request:3766", + "pull_request:1951|pull_request:225", + "pull_request:1965|pull_request:908", + "pull_request:2101|pull_request:2734", + "pull_request:2314|pull_request:3614", + "pull_request:2470|pull_request:4188", + "pull_request:2553|pull_request:889", + "pull_request:2637|pull_request:3245", + "pull_request:2637|pull_request:3398", + "pull_request:2730|pull_request:3245", + "pull_request:2730|pull_request:3398", + "pull_request:2915|pull_request:3691" + ], + "prepared_review_unit_hash": "8cb86ec45d07701c205e8f47cd3ce1154a83607f41c56b572c93553c2fc19780", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 97354, + "estimated_input_tokens": 24339, + "estimated_eval_tokens": 48934 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated LoRA, CI, docs, modular pipeline, and training-related PRs. 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Related area, but not the same concrete fix." + }, + { + "left": "pull_request:1414", + "right": "pull_request:957", + "accept": false, + "reason": "A CLIP-guided stable diffusion helper fix and a DDPMScheduler parameter cleanup are unrelated." + }, + { + "left": "pull_request:1415", + "right": "pull_request:2529", + "accept": false, + "reason": "A broad stable-diffusion test/code cleanup is not the same issue as fixing OpenCLIP checkpoint conversion." + }, + { + "left": "pull_request:1468", + "right": "pull_request:1494", + "accept": false, + "reason": "Saving trained betas and adding safetensors serialization are both save-related but distinct features." + }, + { + "left": "pull_request:1945", + "right": "pull_request:3766", + "accept": false, + "reason": "UNet block tests and a Kandinsky conversion script update address different codebases and problems." + }, + { + "left": "pull_request:1951", + "right": "pull_request:225", + "accept": false, + "reason": "Updating ColossalAI integration and editing the README for a release are unrelated." + }, + { + "left": "pull_request:1965", + "right": "pull_request:908", + "accept": false, + "reason": "Checkpoint merger import cleanup and StableDiffusion mega inpaint pipeline selection are different fixes." + }, + { + "left": "pull_request:2101", + "right": "pull_request:2734", + "accept": false, + "reason": "Pix2Pix docs/example updates and Habana documentation number updates do not share the same underlying bug." + }, + { + "left": "pull_request:2314", + "right": "pull_request:3691", + "accept": false, + "reason": "Fast-test slice tolerances and LoRAAttnProcessor2_0 selection for text-encoder LoRA are unrelated." + }, + { + "left": "pull_request:2470", + "right": "pull_request:4188", + "accept": false, + "reason": "MPS test skips and SDXL ControlNet training fingerprinting are separate test/training concerns." + }, + { + "left": "pull_request:2553", + "right": "pull_request:889", + "accept": false, + "reason": "Flax CFG flag handling and the pipeline components API are different pipeline features, not duplicates." + }, + { + "left": "pull_request:2637", + "right": "pull_request:3245", + "accept": false, + "reason": "A quicktour typo fix and a Chinese docs navigation update are unrelated docs changes." + }, + { + "left": "pull_request:2637", + "right": "pull_request:3398", + "accept": false, + "reason": "Both are tiny doc typo fixes, but they correct different text in different files and are not the same change." + }, + { + "left": "pull_request:2730", + "right": "pull_request:3245", + "accept": false, + "reason": "Unconditional training docs cleanup and translated docs navigation changes are unrelated." + }, + { + "left": "pull_request:2730", + "right": "pull_request:3398", + "accept": false, + "reason": "Different documentation pages and different wording fixes; 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"accept": false, + "reason": "ControlNet LoRA support and IP-Adapter support to inpaint are different feature additions." + }, + { + "left": "pull_request:10187", + "right": "pull_request:9862", + "accept": false, + "reason": "Both are LoRA-related, but one improves no-op warnings while the other adds save_lora_adapter; not the same underlying change." + }, + { + "left": "pull_request:10069", + "right": "pull_request:11196", + "accept": false, + "reason": "Device-type validation in model loading is unrelated to the safetensors save_pretrained change." + }, + { + "left": "pull_request:10119", + "right": "pull_request:9105", + "accept": false, + "reason": "Docs for load_lora_adapter and deprecating revision parameter are unrelated documentation changes." + }, + { + "left": "pull_request:10148", + "right": "pull_request:8696", + "accept": false, + "reason": "Adding OmniGen is unrelated to marking Marigold tests flaky." + }, + { + "left": "pull_request:10188", + "right": "pull_request:11196", + "accept": false, + "reason": "Flux LoRA test/message tweaks do not match the ModelMixin safetensors save_pretrained revert." + }, + { + "left": "pull_request:10230", + "right": "pull_request:8691", + "accept": false, + "reason": "LoRA loader docs and vanilla LoRA loading behavior are not the same code change." + }, + { + "left": "pull_request:10358", + "right": "pull_request:10544", + "accept": false, + "reason": "Both are docs PRs, but for different pages and topics: community projects vs ParaAttention." + }, + { + "left": "pull_request:10370", + "right": "pull_request:10970", + "accept": false, + "reason": "TorchAO style cleanup and the GH action swap are unrelated maintenance changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + 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"Textual inversion loader support and upsample_size support in UNet blocks are different features." + }, + { + "left": "pull_request:2279", + "right": "pull_request:2827", + "accept": false, + "reason": "Both concern lint/style tooling, but these are different repo-wide hygiene changes, not one concrete bug or change." + }, + { + "left": "pull_request:2793", + "right": "pull_request:2928", + "accept": false, + "reason": "A docs removal about cuDNN benchmark is unrelated to allowing custom local datasets in ControlNet training." + }, + { + "left": "pull_request:2793", + "right": "pull_request:4887", + "accept": false, + "reason": "No shared code-path problem: docs cleanup vs removing latents from Kandinsky prior_emb2emb." + }, + { + "left": "pull_request:2861", + "right": "pull_request:3208", + "accept": false, + "reason": "A Stable UnCLIP test for image_embeds=None is unrelated to Token Merging docs." + }, + { + "left": "pull_request:2959", + "right": "pull_request:5053", + "accept": false, + "reason": "A UNet3D norm-group test fix is unrelated to the validation_image CLI argument change." + }, + { + "left": "pull_request:3023", + "right": "pull_request:3127", + "accept": false, + "reason": "Different subsystems: attention processor/KV handling vs safety checker image masking." + }, + { + "left": "pull_request:3275", + "right": "pull_request:5111", + "accept": false, + "reason": "UNet block upsample_size plumbing and Karras sigma scheduler support are unrelated." + }, + { + "left": "pull_request:3297", + "right": "pull_request:4595", + "accept": false, + "reason": "A retrieval-augmented diffusion model project is not the same as an SDXL-to-original conversion script." + }, + { + "left": "pull_request:3934", + "right": "pull_request:4963", + "accept": false, + "reason": "These are unrelated reverts: automatic chunking vs accelerate-main install changes." + }, + { + "left": "pull_request:3934", + "right": "pull_request:5615", + "accept": false, + "reason": "Different 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"split": true, + "analyst_result": { + "summary": "The cluster is a grab bag of unrelated diffusers PRs spanning docs, CI, LoRA, single-file loading, SD3, and examples. None of the soft-edge pairs look like the same underlying bug or change, so I would not merge any of them as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a true duplicate of the others. If a representative PR is needed, #5771 is the broadest core-code change in the set (large loaders/LoRA refactor across many files), so it is the best stand-in for the cluster.", + "best_issue_reason": null, + "best_pr_reason": "#5771 is the strongest representative because it is a substantial, cross-cutting code change in the core loader/LoRA path and is more central than the many narrow docs/tests/CI fixes in this group.", + "soft_edge_verdicts": [ + { + "left": "pull_request:530", + "right": "pull_request:748", + "accept": false, + "reason": "Different fixes in different areas: img2img test adjustment vs push_to_hub call cleanup for training scripts." + }, + { + "left": "pull_request:5393", + "right": "pull_request:7216", + "accept": false, + "reason": "Both touch docs/examples around hub/file handling, but one updates API usage while the other changes the from_single_file signature and loader behavior." + }, + { + "left": "pull_request:5771", + "right": "pull_request:6261", + "accept": false, + "reason": "Unrelated changes: a broad loaders/LoRA refactor vs moving Attend-and-Excite into its own module." + }, + { + "left": "pull_request:5833", + "right": "pull_request:7339", + "accept": false, + "reason": "Single-file ControlNet import fix and release-workflow dependency changes are unrelated." + }, + { + "left": "pull_request:5834", + "right": "pull_request:7339", + "accept": false, + "reason": "Single-file import path correction is unrelated to release workflow dependency setup." + }, + { + "left": "pull_request:6237", + "right": "pull_request:6864", + "accept": false, + "reason": "Docs-only changes about seeds vs LoRA/torch.compile guidance; different concerns and code paths." + }, + { + "left": "pull_request:6426", + "right": "pull_request:8267", + "accept": false, + "reason": "Both mention deprecation, but one is a broad LoRA deprecation cleanup and the other is specific resume_download handling in single-file loaders." + }, + { + "left": "pull_request:6633", + "right": "pull_request:7247", + "accept": false, + "reason": "One fixes checkpoint config file reading; the other changes single-file config-shape tests. Not the same bug." + }, + { + "left": "pull_request:7044", + "right": "pull_request:7295", + "accept": false, + "reason": "Different loader/refactor changes: restoring a UNet refactor vs cleaning copy-paste residue in the UNet single-file loader." + }, + { + "left": "pull_request:7116", + "right": "pull_request:7153", + "accept": false, + "reason": "CI workflow install tooling vs documentation path filtering; not the same underlying change." + }, + { + "left": "pull_request:7913", + "right": "pull_request:9447", + "accept": false, + "reason": "ControlNet SDXL timestep/sigma support is unrelated to pipeline save_pretrained sharding defaults." + }, + { + "left": "pull_request:8564", + "right": "pull_request:8631", + "accept": false, + "reason": "SD3 training docs/code for T5 sequence length vs a single-file loader fix for T5 checkpoints; same model family, different problems." + }, + { + "left": "pull_request:8591", + "right": "pull_request:8618", + "accept": false, + "reason": "SD3 training utility refactor vs adding shift_factor to the tiny autoencoder; different code paths and purposes." + }, + { + "left": "pull_request:8591", + "right": "pull_request:8627", + "accept": false, + "reason": "Training-utility refactor is unrelated to adding SD3 ControlNet docs/models/tests." + }, + { + "left": "pull_request:8618", + "right": "pull_request:9735", + "accept": false, + "reason": "Tiny autoencoder shift_factor addition and SD3 ControlNet example update are separate features." + }, + { + "left": "pull_request:8627", + "right": "pull_request:9735", + "accept": false, + "reason": "SD3 ControlNet model/docs addition is broader and different from updating a training example." + }, + { + "left": "pull_request:9400", + "right": "pull_request:9536", + "accept": false, + "reason": "Device-agnostic test updates and ChatGLMTokenizer padding signature fixes are unrelated." + }, + { + "left": "pull_request:1966", + "right": "pull_request:594", + "accept": false, + "reason": "Flax inpainting implementation vs Flax UNet/DDIM embedding/scheduler fix are different feature areas." + }, + { + "left": "pull_request:5038", + "right": "pull_request:5204", + "accept": false, + "reason": "LoRA-related, but one makes optional args explicit in Transformer2D while the other fixes text encoder scaling across many pipelines." + }, + { + "left": "pull_request:6752", + "right": "pull_request:8739", + "accept": false, + "reason": "Distinct community pipeline additions with different pipelines and goals." + }, + { + "left": "pull_request:10105", + "right": "pull_request:9103", + "accept": false, + "reason": "Broken doc link fix vs distributed LR scheduler logic correction; unrelated." + }, + { + "left": "pull_request:1269", + "right": "pull_request:1470", + "accept": false, + "reason": "Stable-diffusion refactor finalization vs DreamBooth AltDiffusion compatibility are separate changes." + }, + { + "left": "pull_request:13294", + "right": "pull_request:13365", + "accept": false, + "reason": "Flaky WanVACE test cleanup vs fork-support CI workflow changes; no shared bug/change." + }, + { + "left": "pull_request:4365", + "right": "pull_request:4749", + "accept": false, + "reason": "Both mention SDXL LoRA, but one adds a new training example while the other fixes checkpoint saving/loading for an existing script." + }, + { + "left": "pull_request:4793", + "right": "pull_request:4862", + "accept": false, + "reason": "Auto-pipeline kwargs forwarding and ControlNet SDXL MultiControlNet height/width handling are unrelated bugs." + }, + { + "left": "pull_request:5085", + "right": "pull_request:5697", + "accept": false, + "reason": "Different LoRA issues: offloading incompatible checkpoints vs xformers-enabled PEFT scaling." + }, + { + "left": "pull_request:6237", + "right": "pull_request:6929", + "accept": false, + "reason": "Seed batching docs and community pipeline docs are different documentation topics with no shared code change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 182, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10042", + "pull_request:10114", + "pull_request:10115", + "pull_request:10132", + "pull_request:10148", + "pull_request:10245", + "pull_request:10299", + "pull_request:10312", + "pull_request:10318", + "pull_request:10322", + "pull_request:10326", + "pull_request:10420", + "pull_request:10430", + "pull_request:10585", + "pull_request:10648", + "pull_request:10784", + "pull_request:10810", + "pull_request:10837", + "pull_request:10894", + "pull_request:11080", + "pull_request:11319", + "pull_request:11366", + "pull_request:11428", + "pull_request:11639", + "pull_request:11647", + "pull_request:11778", + "pull_request:11997", + "pull_request:12024", + "pull_request:12909", + "pull_request:2954", + "pull_request:3125", + "pull_request:4780", + "pull_request:5038", + "pull_request:5202", + "pull_request:5823", + "pull_request:7096", + "pull_request:7906", + "pull_request:8618", + "pull_request:8684", + "pull_request:8685", + "pull_request:8985", + "pull_request:9015", + "pull_request:9107", + "pull_request:9765", + "pull_request:9769", + "pull_request:9807", + "pull_request:9832", + "pull_request:9934" + ], + "soft_pairs": [ + "pull_request:2954|pull_request:3125", + "pull_request:5038|pull_request:5823", + "pull_request:7096|pull_request:7906", + "pull_request:4780|pull_request:5202", + "pull_request:10837|pull_request:11428", + "pull_request:11639|pull_request:11997", + "pull_request:12024|pull_request:12909", + "pull_request:10042|pull_request:9832", + "pull_request:10114|pull_request:10894", + "pull_request:10115|pull_request:9107", + "pull_request:10132|pull_request:11366", + "pull_request:10148|pull_request:11319", + "pull_request:10148|pull_request:8618", + "pull_request:10245|pull_request:8685", + "pull_request:10299|pull_request:9934", + "pull_request:10312|pull_request:11080", + "pull_request:10318|pull_request:11319", + "pull_request:10322|pull_request:8985", + "pull_request:10326|pull_request:8684", + "pull_request:10420|pull_request:9015", + "pull_request:10430|pull_request:9769", + "pull_request:10585|pull_request:10784", + "pull_request:10648|pull_request:11647", + "pull_request:10784|pull_request:11778", + "pull_request:10784|pull_request:9765", + "pull_request:10810|pull_request:9807" + ], + "prepared_review_unit_hash": "ccc0b56992256f6a0d5018cd8b449985cfaaa5089c9c8ccefc008eaa2378418d", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 97099, + "estimated_input_tokens": 24275, + "estimated_eval_tokens": 48806 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All soft edges look like false positives: these PRs mostly cover unrelated docs, CI, tests, or distinct feature/fix work within broad subsystems. No single canonical duplicate pair emerges.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the cluster is heterogeneous, and the apparent similarities are mostly broad subsystem overlap rather than the same underlying change.", + "best_issue_reason": null, + "best_pr_reason": "PR 10148 is the strongest standalone representative by scope and review activity, but it is still not a duplicate anchor for the other items.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2954", + "right": "pull_request:3125", + "accept": false, + "reason": "Different changes: TextToVideoZero pipeline addition vs multi-control-image handling in ControlNet inpaint docs/example code." + }, + { + "left": "pull_request:5038", + "right": "pull_request:5823", + "accept": false, + "reason": "Both relate to LoRA, but one is an API signature cleanup and the other adds adapter_names support; different code paths and goals." + }, + { + "left": "pull_request:7096", + "right": "pull_request:7906", + "accept": false, + "reason": "Both are training/examples work, but they target different projects and scripts; not the same bug or change." + }, + { + "left": "pull_request:4780", + "right": "pull_request:5202", + "accept": false, + "reason": "PEFT/LoRA-related, but one is broad PEFT integration and the other adds Kohya checkpoint key mapping; not mergeable as one fix." + }, + { + "left": "pull_request:10837", + "right": "pull_request:11428", + "accept": false, + "reason": "Both touch HunyuanVideo docs/pipeline surface area, but one adds SkyReels T2V/I2V and the other adds Framepack; distinct features." + }, + { + "left": "pull_request:11639", + "right": "pull_request:11997", + "accept": false, + "reason": "Wan-related, but one standardizes v2v VAE sampling while the other adds modular I2V/FLF2V blocks; separate changes." + }, + { + "left": "pull_request:12024", + "right": "pull_request:12909", + "accept": false, + "reason": "Both modify Wan transformer code, but they fix different issues: timestep reshaping vs context-parallel handling." + }, + { + "left": "pull_request:10042", + "right": "pull_request:9832", + "accept": false, + "reason": "Both CI/workflow-related, but one removes a workflow and the other adds quantization nightly tests; unrelated." + }, + { + "left": "pull_request:10114", + "right": "pull_request:10894", + "accept": false, + "reason": "One is a formatting fix in Stable Audio; the other is docs toctree sorting. No shared bug or change." + }, + { + "left": "pull_request:10115", + "right": "pull_request:9107", + "accept": false, + "reason": "Flux rotary embedding bugfix vs SD3 LoRA loading hook fix; different models and code paths." + }, + { + "left": "pull_request:10132", + "right": "pull_request:11366", + "accept": false, + "reason": "Tokenizers update in PEFT backend workflow vs Hidream transformer output shape/API change; unrelated." + }, + { + "left": "pull_request:10148", + "right": "pull_request:11319", + "accept": false, + "reason": "OmniGen feature addition vs a community-projects docs entry; not the same underlying change." + }, + { + "left": "pull_request:10148", + "right": "pull_request:8618", + "accept": false, + "reason": "OmniGen is a large new pipeline/model feature; the other changes SD3 tiny autoencoder config. Different work." + }, + { + "left": "pull_request:10245", + "right": "pull_request:8685", + "accept": false, + "reason": "PEFT docs text change vs SD3 float8 note; both documentation-only but about different topics." + }, + { + "left": "pull_request:10299", + "right": "pull_request:9934", + "accept": false, + "reason": "GGUF docs generator placement fix vs Mochi docs expansion; unrelated documentation updates." + }, + { + "left": "pull_request:10312", + "right": "pull_request:11080", + "accept": false, + "reason": "Attention head_to_batch_dim bugfix vs Kandinsky image resize/divisibility fix; different subsystems and bugs." + }, + { + "left": "pull_request:10318", + "right": "pull_request:11319", + "accept": false, + "reason": "Flux LoRA integration tests vs community projects docs entry; no shared implementation or bug." + }, + { + "left": "pull_request:10322", + "right": "pull_request:8985", + "accept": false, + "reason": "Sana 2K model conversion support vs reducing Lumina test size; unrelated." + }, + { + "left": "pull_request:10326", + "right": "pull_request:8684", + "accept": false, + "reason": "MPS workflow quoting fix vs Pillow import docs fix; no common code-path problem." + }, + { + "left": "pull_request:10420", + "right": "pull_request:9015", + "accept": false, + "reason": "LTX checkpoint ID docs fix vs PIA example cleanup; unrelated doc updates." + }, + { + "left": "pull_request:10430", + "right": "pull_request:9769", + "accept": false, + "reason": "TeaCache core implementation vs Mochi T2V model/pipeline addition; not the same change." + }, + { + "left": "pull_request:10585", + "right": "pull_request:10784", + "accept": false, + "reason": "Mochi VAE annotation cleanup vs Lumina2 input validation fix; different models and bugs." + }, + { + "left": "pull_request:10648", + "right": "pull_request:11647", + "accept": false, + "reason": "DDPM docs adding sigmoid schedule vs adding Finegrained FP8 quantization; unrelated." + }, + { + "left": "pull_request:10784", + "right": "pull_request:11778", + "accept": false, + "reason": "Lumina2 input validation vs Wan VACE mask padding; separate bugs in different pipelines." + }, + { + "left": "pull_request:10784", + "right": "pull_request:9765", + "accept": false, + "reason": "Lumina2 validation bugfix vs SD3 docstring typo fix; different scope and no shared code-path." + }, + { + "left": "pull_request:10810", + "right": "pull_request:9807", + "accept": false, + "reason": "Flux LoRA conversion improvements vs AutoencoderKL LoRA adapter support; both LoRA-related but distinct fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 183, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10819", + "pull_request:10834", + "pull_request:10837", + "pull_request:10885", + "pull_request:11066", + "pull_request:11067", + "pull_request:11243", + "pull_request:11290", + "pull_request:11366", + "pull_request:11537", + "pull_request:11564", + "pull_request:11583", + "pull_request:11647", + "pull_request:11722", + "pull_request:1194", + "pull_request:12018", + "pull_request:12062", + "pull_request:12134", + "pull_request:12142", + "pull_request:12143", + "pull_request:12231", + "pull_request:12233", + "pull_request:1229", + "pull_request:12330", + "pull_request:12360", + "pull_request:12391", + "pull_request:12420", + "pull_request:12434", + "pull_request:12450", + "pull_request:12551", + "pull_request:12631", + "pull_request:12644", + "pull_request:12675", + "pull_request:12686", + "pull_request:12705", + "pull_request:12797", + "pull_request:12856", + "pull_request:13022", + "pull_request:13076", + "pull_request:13164", + "pull_request:13218", + "pull_request:13454", + "pull_request:2983", + "pull_request:3172", + "pull_request:45", + "pull_request:9687", + "pull_request:9735" + ], + "soft_pairs": [ + "pull_request:10819|pull_request:11564", + "pull_request:10834|pull_request:11537", + "pull_request:10837|pull_request:11066", + "pull_request:10885|pull_request:11647", + "pull_request:11067|pull_request:12062", + "pull_request:11243|pull_request:9687", + "pull_request:11290|pull_request:12420", + "pull_request:11366|pull_request:9735", + "pull_request:11583|pull_request:12134", + "pull_request:11722|pull_request:12233", + "pull_request:1194|pull_request:3172", + "pull_request:1194|pull_request:45", + "pull_request:12018|pull_request:12391", + "pull_request:12018|pull_request:12797", + "pull_request:12142|pull_request:13022", + "pull_request:12143|pull_request:13022", + "pull_request:12231|pull_request:12705", + "pull_request:1229|pull_request:2983", + "pull_request:12330|pull_request:13218", + "pull_request:12360|pull_request:12434", + "pull_request:12450|pull_request:13164", + "pull_request:12551|pull_request:13454", + "pull_request:12631|pull_request:13076", + "pull_request:12644|pull_request:12675", + "pull_request:12686|pull_request:12856" + ], + "prepared_review_unit_hash": "6226cfd80508a92dd23ed696a2d96cd9dad972a434711f442d564d7610a303f3", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 94778, + "estimated_input_tokens": 23695, + "estimated_eval_tokens": 47646 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is a grab bag of unrelated docs, CI, and code-change PRs. None of the soft-edge pairs look like the same underlying bug or change, so I would not merge any pair for duplicate triage.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a credible canonical representative: the items span unrelated documentation edits, CI tweaks, model additions, and code fixes rather than one duplicated change.", + "best_issue_reason": null, + "best_pr_reason": "No PR stands out as a global best duplicate target because the cluster does not cohere around one bug or feature; it is mostly accidental title/subsystem similarity.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10819", + "right": "pull_request:11564", + "accept": false, + "reason": "One is docs for LoRA loader entries; the other adds a dependency to a Dreambooth example. Different purpose and code paths." + }, + { + "left": "pull_request:10834", + "right": "pull_request:11537", + "accept": false, + "reason": "GGUFParameter bugfix versus adding torch.compile tests for UNet2DConditionModel. No shared underlying change." + }, + { + "left": "pull_request:10837", + "right": "pull_request:11066", + "accept": false, + "reason": "Both touch HunyuanVideo docs/pipelines, but one adds SkyReels Hunyuan T2V/I2V and the other adds a new HunyuanVideo-I2V variant. Distinct features." + }, + { + "left": "pull_request:10885", + "right": "pull_request:11647", + "accept": false, + "reason": "Both mention docs/_toctree, but one is only adding CogVideoX scheduler docs while the other introduces Finegrained FP8 quantization. Unrelated." + }, + { + "left": "pull_request:11067", + "right": "pull_request:12062", + "accept": false, + "reason": "Both edit benchmark CI, but one pins transformers and the other changes GPU container options across multiple workflows. Different fixes." + }, + { + "left": "pull_request:11243", + "right": "pull_request:9687", + "accept": false, + "reason": "Musubi Wan LoRA conversion support versus Xlabs ControlNet support. Different model families and implementation paths." + }, + { + "left": "pull_request:11290", + "right": "pull_request:12420", + "accept": false, + "reason": "Dockerfile torch version pinning/unpinning is unrelated to conditional import handling in attention dispatch." + }, + { + "left": "pull_request:11366", + "right": "pull_request:9735", + "accept": false, + "reason": "Hidream transformer output signature change versus SD3 ControlNet example updates. Different components and intent." + }, + { + "left": "pull_request:11583", + "right": "pull_request:12134", + "accept": false, + "reason": "Both are docs cleanup, but one removes an obsolete tutorial and the other refreshes Stable Diffusion tutorial content/title. Not the same change." + }, + { + "left": "pull_request:11722", + "right": "pull_request:12233", + "accept": false, + "reason": "A misleading comment fix in a conversion script versus a wording/title change in quantization docs. No shared bug." + }, + { + "left": "pull_request:1194", + "right": "pull_request:3172", + "accept": false, + "reason": "Both update docs/workflows, but one changes doc-builder GitHub Actions and the other adds reproducibility guidance. Unrelated." + }, + { + "left": "pull_request:1194", + "right": "pull_request:45", + "accept": false, + "reason": "Both touch doc workflow files, but the changes are different workflow migrations and broad documentation wiring, not the same fix." + }, + { + "left": "pull_request:12018", + "right": "pull_request:12391", + "accept": false, + "reason": "Both edit quantization overview wording, but one fixes a link label and the other reorganizes the quantization section/docs. Not the same concrete change." + }, + { + "left": "pull_request:12018", + "right": "pull_request:12797", + "accept": false, + "reason": "Different docs fixes in different files and topics: quantization wording versus Kandinsky 5.0 minor docs fixes." + }, + { + "left": "pull_request:12142", + "right": "pull_request:13022", + "accept": false, + "reason": "Wan VACE bf16/fp16 masking fix is unrelated to CUDA/xformers Dockerfile adjustments." + }, + { + "left": "pull_request:12143", + "right": "pull_request:13022", + "accept": false, + "reason": "Wan VACE dtype fix and test adjustment versus Dockerfile changes. Different underlying issue." + }, + { + "left": "pull_request:12231", + "right": "pull_request:12705", + "accept": false, + "reason": "Typos in many example scripts versus broader typo cleanup across docs and modular pipeline files. Similar theme, but not the same change." + }, + { + "left": "pull_request:1229", + "right": "pull_request:2983", + "accept": false, + "reason": "Old Dreambooth README example tweak versus later contribution guide instructions for installing test dependencies. Different docs and intent." + }, + { + "left": "pull_request:12330", + "right": "pull_request:13218", + "accept": false, + "reason": "Pipeline-level group offloading test cleanup versus skipping a Helios float16 test. Different test suites and failure modes." + }, + { + "left": "pull_request:12360", + "right": "pull_request:13218", + "accept": false, + "reason": "Chroma guidance docs fix versus Helios pipeline test skip. No shared code-path problem." + }, + { + "left": "pull_request:12450", + "right": "pull_request:13164", + "accept": false, + "reason": "Both touch CI dependency installation, but one revisits many CI/install paths while the other removes test deps from specific workflows. Not mergeable as one fix." + }, + { + "left": "pull_request:12551", + "right": "pull_request:13454", + "accept": false, + "reason": "Skipping Sana layerwise casting tests is unrelated to xfailed CLIP-related pipeline tests." + }, + { + "left": "pull_request:12631", + "right": "pull_request:13076", + "accept": false, + "reason": "Distributed inference docs update versus a TorchAo quantization syntax fix. Different documentation topics and issues." + }, + { + "left": "pull_request:12644", + "right": "pull_request:12675", + "accept": false, + "reason": "AutoModel docs introduction versus Sana Video docs typo/wording cleanup. Different docs areas and changes." + }, + { + "left": "pull_request:12686", + "right": "pull_request:12856", + "accept": false, + "reason": "Both are Kandinsky 5.0 docs/model additions, but the second is a massive z-image-omni-base implementation touching many unrelated docs and code paths. Too broad to treat as the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 184, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1292", + "pull_request:1397", + "pull_request:1423", + "pull_request:1437", + "pull_request:1508", + "pull_request:1697", + "pull_request:1765", + "pull_request:1788", + "pull_request:1850", + "pull_request:1903", + "pull_request:1951", + "pull_request:2009", + "pull_request:2103", + "pull_request:2129", + "pull_request:2183", + "pull_request:2257", + "pull_request:2330", + "pull_request:2349", + "pull_request:2365", + "pull_request:2384", + "pull_request:2405", + "pull_request:2490", + "pull_request:2598", + "pull_request:2811", + "pull_request:2817", + "pull_request:2894", + "pull_request:2959", + "pull_request:3006", + "pull_request:3172", + "pull_request:3201", + "pull_request:3226", + "pull_request:326", + "pull_request:3265", + "pull_request:3331", + "pull_request:3561", + "pull_request:3709", + "pull_request:3716", + "pull_request:396", + "pull_request:416", + "pull_request:533", + "pull_request:564", + "pull_request:570", + "pull_request:703", + "pull_request:748", + "pull_request:806", + "pull_request:840", + "pull_request:975" + ], + "soft_pairs": [ + "pull_request:1292|pull_request:2405", + "pull_request:1397|pull_request:1423", + "pull_request:1437|pull_request:3331", + "pull_request:1508|pull_request:3561", + "pull_request:1508|pull_request:748", + "pull_request:1697|pull_request:1951", + "pull_request:1765|pull_request:564", + "pull_request:1788|pull_request:570", + "pull_request:1850|pull_request:2959", + "pull_request:1903|pull_request:3006", + "pull_request:2009|pull_request:2183", + "pull_request:2103|pull_request:806", + "pull_request:2129|pull_request:3716", + "pull_request:2257|pull_request:840", + "pull_request:2330|pull_request:3226", + "pull_request:2349|pull_request:396", + "pull_request:2349|pull_request:416", + "pull_request:2365|pull_request:326", + "pull_request:2384|pull_request:3201", + "pull_request:2384|pull_request:3265", + "pull_request:2384|pull_request:533", + "pull_request:2490|pull_request:3709", + "pull_request:2598|pull_request:3172", + "pull_request:2811|pull_request:703", + "pull_request:2817|pull_request:975", + "pull_request:2894|pull_request:3226" + ], + "prepared_review_unit_hash": "5bedd509e03651660c878380310a63721da496606ebd7535b7b419796df50596", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 98421, + "estimated_input_tokens": 24606, + "estimated_eval_tokens": 49468 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These PRs are a mixed set of unrelated docs edits, example updates, scheduler/model fixes, and reverts. 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pipeline/schedulers are different features." + }, + { + "left": "pull_request:2257", + "right": "pull_request:840", + "accept": false, + "reason": "Both community examples, but one adds an UnCLIP interpolation pipeline and the other adds a dummy one-step UNet example." + }, + { + "left": "pull_request:2330", + "right": "pull_request:3226", + "accept": false, + "reason": "Ethical guidelines docs vs ControlNet v1.1 docs are unrelated documentation additions." + }, + { + "left": "pull_request:2349", + "right": "pull_request:396", + "accept": false, + "reason": "Karras scheduler overview docs vs DDIM docs are different documentation targets." + }, + { + "left": "pull_request:2349", + "right": "pull_request:416", + "accept": false, + "reason": "Scheduler overview docs vs general models docs are unrelated documentation changes." + }, + { + "left": "pull_request:2365", + "right": "pull_request:326", + "accept": false, + "reason": "Type-note cleanup for KarrasDiffusionSchedulers is not the 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unrelated." + }, + { + "left": "pull_request:3608", + "right": "pull_request:5505", + "accept": false, + "reason": "Text-to-image argument typo fix vs ControlNet naming typo fix; unrelated docs/example updates." + }, + { + "left": "pull_request:3681", + "right": "pull_request:4132", + "accept": false, + "reason": "Manual checkpoint-limit handling across examples vs making accelerate optional in ckpt conversion; different concerns." + }, + { + "left": "pull_request:3786", + "right": "pull_request:4347", + "accept": false, + "reason": "PR template addition vs scheduler step_index implementation; unrelated." + }, + { + "left": "pull_request:3806", + "right": "pull_request:5747", + "accept": false, + "reason": "Checkpoint-loading note in README vs dataset data_dir parameter in training scripts; unrelated." + }, + { + "left": "pull_request:382", + "right": "pull_request:392", + "accept": false, + "reason": "DDPM pipeline docs vs contribution guide docs; unrelated documentation pages." + }, + { + "left": "pull_request:382", + "right": "pull_request:404", + "accept": false, + "reason": "DDPM docs vs fp16 optimization docs; different docs topics." + }, + { + "left": "pull_request:382", + "right": "pull_request:417", + "accept": false, + "reason": "DDPM docs vs pipeline inference docs; not the same page or change." + }, + { + "left": "pull_request:3820", + "right": "pull_request:5768", + "accept": false, + "reason": "LDM3D typo/docs fix vs dataset data_dir parameter fixes; unrelated." + }, + { + "left": "pull_request:386", + "right": "pull_request:391", + "accept": false, + "reason": "Stable Diffusion docs vs PNDM docs; separate pipeline documentation." + }, + { + "left": "pull_request:388", + "right": "pull_request:396", + "accept": false, + "reason": "Unconditional latent diffusion docs vs DDIM docs; different pipeline docs." + }, + { + "left": "pull_request:388", + "right": "pull_request:416", + "accept": false, + "reason": "Unconditional latent diffusion docs vs models API docs; unrelated documentation areas." + }, + { + "left": "pull_request:390", + "right": "pull_request:391", + "accept": false, + "reason": "MPS optimization guide vs PNDM docs; unrelated docs pages." + }, + { + "left": "pull_request:4058", + "right": "pull_request:4155", + "accept": false, + "reason": "SDXL docs formatting fix vs SDXL ControlNet pipeline behavior fix; docs-only vs code change." + }, + { + "left": "pull_request:4058", + "right": "pull_request:6485", + "accept": false, + "reason": "SDXL docs typo fix vs PR template reviewer edit; unrelated." + }, + { + "left": "pull_request:4196", + "right": "pull_request:4227", + "accept": false, + "reason": "SDXL docs improvement vs missing import in textual inversion example; unrelated." + }, + { + "left": "pull_request:4259", + "right": "pull_request:5698", + "accept": false, + "reason": "Circular import fix in loaders/ckpt conversion vs LCM img2img pipeline fix; different code paths." + }, + { + "left": "pull_request:4284", + "right": "pull_request:5768", + "accept": false, + "reason": "LDM3D documentation typo fix vs dataset data_dir parameter fix; unrelated." + }, + { + "left": "pull_request:4498", + "right": "pull_request:5384", + "accept": false, + "reason": "SDXL reference-feature community example vs hypernetwork support in loaders; 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unrelated." + }, + { + "left": "pull_request:4819", + "right": "pull_request:5033", + "accept": false, + "reason": "Both are inpainting-related, but they fix different concrete bugs: masked latent inputs vs regular text2img UNet handling." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 188, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10132", + "pull_request:10200", + "pull_request:1038", + "pull_request:10494", + "pull_request:10597", + "pull_request:10633", + "pull_request:1147", + "pull_request:11504", + "pull_request:11613", + "pull_request:11728", + "pull_request:12363", + "pull_request:12425", + "pull_request:1269", + "pull_request:12973", + "pull_request:13029", + "pull_request:13150", + "pull_request:13332", + "pull_request:13365", + "pull_request:1508", + "pull_request:1582", + "pull_request:1583", + "pull_request:1910", + "pull_request:1926", + "pull_request:2345", + "pull_request:2347", + "pull_request:2398", + "pull_request:241", + "pull_request:2470", + "pull_request:2565", + "pull_request:2655", + "pull_request:2919", + "pull_request:3275", + "pull_request:3297", + "pull_request:3657", + "pull_request:3928", + "pull_request:402", + "pull_request:4070", + "pull_request:4188", + "pull_request:4214", + "pull_request:4223", + "pull_request:4245", + "pull_request:453", + "pull_request:4944", + "pull_request:51", + "pull_request:538", + "pull_request:5713", + "pull_request:630", + "pull_request:9269" + ], + "soft_pairs": [ + "pull_request:4944|pull_request:5713", + "pull_request:10132|pull_request:10494", + "pull_request:10200|pull_request:9269", + "pull_request:1038|pull_request:51", + "pull_request:10597|pull_request:10633", + "pull_request:1147|pull_request:630", + "pull_request:11504|pull_request:11728", + "pull_request:11613|pull_request:12425", + "pull_request:12363|pull_request:13029", + "pull_request:1269|pull_request:3297", + "pull_request:12973|pull_request:13365", + "pull_request:13150|pull_request:13332", + "pull_request:1508|pull_request:453", + "pull_request:1582|pull_request:538", + "pull_request:1583|pull_request:538", + "pull_request:1910|pull_request:402", + "pull_request:1926|pull_request:241", + "pull_request:2345|pull_request:3275", + "pull_request:2347|pull_request:2398", + "pull_request:2470|pull_request:4223", + "pull_request:2565|pull_request:2655", + "pull_request:2565|pull_request:402", + "pull_request:2919|pull_request:4188", + "pull_request:3657|pull_request:3928", + "pull_request:3928|pull_request:4214", + "pull_request:4070|pull_request:4245" + ], + "prepared_review_unit_hash": "0a43b74809378693ca8816b5a552aea30db7a2e4d235072a0e82bffcd92491c3", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 101757, + "estimated_input_tokens": 25440, + "estimated_eval_tokens": 51136 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated PRs across docs, CI/workflows, model support, training scripts, and scheduler/model bugfixes. The soft-edge pairs share broad files or subsystems, but not the same concrete change or bug.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the items are heterogeneous and do not converge on one underlying code change or bug.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good global representative; splitting by topic is more accurate than collapsing the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4944", + "right": "pull_request:5713", + "accept": false, + "reason": "Both concern IP-Adapter, but one is an early WIP loader change and the other is the later full feature implementation; not the same concrete PR-worthy fix." + }, + { + "left": "pull_request:10132", + "right": "pull_request:10494", + "accept": false, + "reason": "Both edit pr_tests.yml, but they fix different tokenizers installation issues in different test contexts." + }, + { + "left": "pull_request:10200", + "right": "pull_request:9269", + "accept": false, + "reason": "Unrelated refactors: ControlNet Union cleanup vs 3D RoPE refactor for CogVideoX." + }, + { + "left": "pull_request:1038", + "right": "pull_request:51", + "accept": false, + "reason": "Flax dtype fix vs a packaging install_requires typo; no shared bug or change." + }, + { + "left": "pull_request:10597", + "right": "pull_request:10633", + "accept": false, + "reason": "Different docs changes: SD3 IP-Adapter checkpoint update vs adding a Flux IP-Adapter example." + }, + { + "left": "pull_request:1147", + "right": "pull_request:630", + "accept": false, + "reason": "Flax text-encoder loading fix vs unrelated Flax from_pretrained mismatch cleanup." + }, + { + "left": "pull_request:11504", + "right": "pull_request:11728", + "accept": false, + "reason": "Both touch CI/container setup, but one updates dependency pinning and the other adds quantization libs to a doc-builder image." + }, + { + "left": "pull_request:11613", + "right": "pull_request:12425", + "accept": false, + "reason": "A large torch.compile CI revert is unrelated to the torch.distributed import guard fix." + }, + { + "left": "pull_request:12363", + "right": "pull_request:13029", + "accept": false, + "reason": "QwenImageEdit Plus docs/test additions vs a modular quickstart docs rewrite; different features entirely." + }, + { + "left": "pull_request:1269", + "right": "pull_request:3297", + "accept": false, + "reason": "Stable diffusion refactor and retrieval-augmented diffusion models are different code paths and goals." + }, + { + "left": "pull_request:12973", + "right": "pull_request:13365", + "accept": false, + "reason": "GLM-Image model support is unrelated to Claude review workflow support on forks." + }, + { + "left": "pull_request:13150", + "right": "pull_request:13332", + "accept": false, + "reason": "A test helper change for recompile limits vs dependency testing workflow tightening; not the same bug." + }, + { + "left": "pull_request:1508", + "right": "pull_request:453", + "accept": false, + "reason": "Dreambooth documentation clarification vs installation typo fix; unrelated docs changes." + }, + { + "left": "pull_request:1582", + "right": "pull_request:538", + "accept": false, + "reason": "RePaint scheduler fix vs hub version bump; completely different changes." + }, + { + "left": "pull_request:1583", + "right": "pull_request:538", + "accept": false, + "reason": "Inpaint-legacy scheduler fix vs hub version bump; not the same issue." + }, + { + "left": "pull_request:1910", + "right": "pull_request:402", + "accept": false, + "reason": "Korean docs rollout and intro-section docs cleanup are different documentation changes." + }, + { + "left": "pull_request:1926", + "right": "pull_request:241", + "accept": false, + "reason": "Oneflow support work is unrelated to adding the inpainting example script." + }, + { + "left": "pull_request:2345", + "right": "pull_request:3275", + "accept": false, + "reason": "xFormers warning for training scripts vs adding upsample_size to UNet blocks; different problems." + }, + { + "left": "pull_request:2347", + "right": "pull_request:2398", + "accept": false, + "reason": "Scheduler noising schedule changes vs Pix2Pix Zero docs improvements; not a duplicate fix." + }, + { + "left": "pull_request:2470", + "right": "pull_request:4223", + "accept": false, + "reason": "MPS test skips vs ControlNet SDXL training script fixes; unrelated." + }, + { + "left": "pull_request:2565", + "right": "pull_request:2655", + "accept": false, + "reason": "Unet1D docs correction vs LoRA load/save behavior fix; different scope." + }, + { + "left": "pull_request:2565", + "right": "pull_request:402", + "accept": false, + "reason": "Unet1D docs correction and intro docs restructuring are unrelated documentation edits." + }, + { + "left": "pull_request:2919", + "right": "pull_request:4188", + "accept": false, + "reason": "Test speedup by shrinking model config vs SDXL ControlNet training follow-up; not the same change." + }, + { + "left": "pull_request:3657", + "right": "pull_request:3928", + "accept": false, + "reason": "ControlNet checkpoint parsing tweaks vs controlnet out-of-list runtime fix; different concrete bugs." + }, + { + "left": "pull_request:3928", + "right": "pull_request:4214", + "accept": false, + "reason": "ControlNet runtime logic fix vs bf16 custom diffusion fix; unrelated." + }, + { + "left": "pull_request:4070", + "right": "pull_request:4245", + "accept": false, + "reason": "SDXL docs link cleanup vs adding safetensors flags across docs; different documentation tasks." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 189, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1006", + "pull_request:12086", + "pull_request:12117", + "pull_request:12418", + "pull_request:12519", + "pull_request:2476", + "pull_request:3652", + "pull_request:3681", + "pull_request:4099", + "pull_request:4595", + "pull_request:4887", + "pull_request:4987", + "pull_request:51", + "pull_request:5301", + "pull_request:5385", + "pull_request:5615", + "pull_request:5788", + "pull_request:5842", + "pull_request:5974", + "pull_request:6078", + "pull_request:6114", + "pull_request:6119", + "pull_request:6208", + "pull_request:6217", + "pull_request:6225", + "pull_request:6229", + "pull_request:6265", + "pull_request:6759", + "pull_request:6886", + "pull_request:6952", + "pull_request:7115", + "pull_request:7158", + "pull_request:7202", + "pull_request:7353", + "pull_request:7778", + "pull_request:7790", + "pull_request:816", + "pull_request:8303", + "pull_request:8378", + "pull_request:8389", + "pull_request:8452", + "pull_request:8510", + "pull_request:8564", + "pull_request:8702", + "pull_request:8973", + "pull_request:9323", + "pull_request:9569", + "pull_request:9896" + ], + "soft_pairs": [ + "pull_request:4099|pull_request:6078", + "pull_request:4595|pull_request:6114", + "pull_request:4887|pull_request:7115", + "pull_request:4987|pull_request:6265", + "pull_request:4987|pull_request:6886", + "pull_request:51|pull_request:816", + "pull_request:5385|pull_request:7202", + "pull_request:5615|pull_request:7790", + "pull_request:5788|pull_request:7158", + "pull_request:6119|pull_request:8378", + "pull_request:6208|pull_request:8510", + "pull_request:6217|pull_request:8303", + "pull_request:6229|pull_request:7778", + "pull_request:6759|pull_request:6952", + "pull_request:7158|pull_request:8389", + "pull_request:7353|pull_request:9323", + "pull_request:8452|pull_request:9569", + "pull_request:8510|pull_request:9569", + "pull_request:8564|pull_request:8702", + "pull_request:8973|pull_request:9896", + "pull_request:12086|pull_request:12117", + "pull_request:1006|pull_request:2476", + "pull_request:12418|pull_request:12519", + "pull_request:3652|pull_request:3681", + "pull_request:5301|pull_request:6225", + "pull_request:5842|pull_request:5974" + ], + "prepared_review_unit_hash": "75ebd737b473fa90e465d8f19be5871edfd8e04b69f4043efc3f35f202e0f181", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 93374, + "estimated_input_tokens": 23344, + "estimated_eval_tokens": 46944 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster does not contain a true duplicate set: the soft pairs are mostly unrelated PRs that only share broad subsystem names, a file path, or generic wording. I would reject all soft edges and avoid picking a canonical PR for the cluster.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:4099", + "right": "pull_request:6078", + "accept": false, + "reason": "Both are SDXL-era changes, but one fixes prompt-embed handling while the other fixes Euler sigma initialization. Different bugs and different code paths." + }, + { + "left": "pull_request:4595", + "right": "pull_request:6114", + "accept": false, + "reason": "Unrelated work: a WIP SDXL conversion project versus adding img2img/inpaint support to a community lpw-xL example." + }, + { + "left": "pull_request:4887", + "right": "pull_request:7115", + "accept": false, + "reason": "Different areas entirely: Kandinsky prior_emb2emb API cleanup versus a Dockerfile change for JAX TPU images." + }, + { + "left": "pull_request:4987", + "right": "pull_request:6265", + "accept": false, + "reason": "One removes a duplicate import entry; the other refactors GLIGEN into its own pipeline package. Same name family, not the same change." + }, + { + "left": "pull_request:4987", + "right": "pull_request:6886", + "accept": false, + "reason": "Import-structure cleanup is unrelated to the later deprecation fix for `.to(torch_dtype=...)` across converter scripts and tests." + }, + { + "left": "pull_request:51", + "right": "pull_request:816", + "accept": false, + "reason": "A packaging pin fix and a training-loss dtype cast are different issues with no shared underlying bug." + }, + { + "left": "pull_request:5385", + "right": "pull_request:7202", + "accept": false, + "reason": "One updates a copy-checking utility; the other removes an obsolete requirement from an example requirements file." + }, + { + "left": "pull_request:5615", + "right": "pull_request:7790", + "accept": false, + "reason": "Both touch SDXL-adjacent community code, but one reverts LoRA loading behavior and the other adapts a masked img2img community pipeline for SDXL. Not the same code-path problem." + }, + { + "left": "pull_request:5788", + "right": "pull_request:7158", + "accept": false, + "reason": "Both mention benchmarking, but one adds an LCM scheduler error check while the other modifies benchmark workflow/runtime behavior. Different fixes." + }, + { + "left": "pull_request:6119", + "right": "pull_request:8378", + "accept": false, + "reason": "FP16 gradient/LoRA training fix versus an AsymmetricAutoencoderKL forward-path fix. No shared bug." + }, + { + "left": "pull_request:6208", + "right": "pull_request:8510", + "accept": false, + "reason": "One addresses a Stable Diffusion VAE dtype mismatch at decode time; the other changes DreamBooth LoRA learning-rate scheduler math. Unrelated." + }, + { + "left": "pull_request:6217", + "right": "pull_request:8303", + "accept": false, + "reason": "Torch-compile VAE compatibility fix versus a documentation typo in philosophy.md. Not duplicates by any reasonable standard." + }, + { + "left": "pull_request:6229", + "right": "pull_request:7778", + "accept": false, + "reason": "A CI dependency tweak and a debugging workflow addition are different maintenance changes, not one underlying issue." + }, + { + "left": "pull_request:6759", + "right": "pull_request:6952", + "accept": false, + "reason": "InstantID prompt-image embedding handling versus textual inversion model-card utilities. Different pipelines and purposes." + }, + { + "left": "pull_request:7158", + "right": "pull_request:8389", + "accept": false, + "reason": "Both are benchmark-related, but one changes the benchmark execution/base class logic and the other rewires the benchmark workflow and container. Same area, not the same bug." + }, + { + "left": "pull_request:7353", + "right": "pull_request:9323", + "accept": false, + "reason": "One adds FromSingleFileMixin to SDXL ControlNet img2img; the other changes single-file model defaults for inpainting/v1. Different loading concerns." + }, + { + "left": "pull_request:8452", + "right": "pull_request:9569", + "accept": false, + "reason": "Single-file loading strictness fix versus a CogVideoX autoencoder decode guard. No common concrete change." + }, + { + "left": "pull_request:8510", + "right": "pull_request:9569", + "accept": false, + "reason": "DreamBooth LR scheduler logic and CogVideoX decoding are unrelated code paths." + }, + { + "left": "pull_request:8564", + "right": "pull_request:8702", + "accept": false, + "reason": "SD3 training token-limit support and a standalone SD3 conversion script are separate features, not one fix." + }, + { + "left": "pull_request:8973", + "right": "pull_request:9896", + "accept": false, + "reason": "Reducing Lumina test model size is unrelated to reverting Flux device/typecasting changes." + }, + { + "left": "pull_request:12086", + "right": "pull_request:12117", + "accept": false, + "reason": "Both are Flux/QwenImage-era additions, but one adds modular Flux I2I support and the other adds QwenImage img2img/inpaint pipelines. Distinct features and code paths." + }, + { + "left": "pull_request:1006", + "right": "pull_request:2476", + "accept": false, + "reason": "Large-batch interpolate workaround in resnet versus Attend-and-Excite image-size support. Same broad theme of size handling, but not the same bug." + }, + { + "left": "pull_request:12418", + "right": "pull_request:12519", + "accept": false, + "reason": "Xfailing a legacy test in CI is unrelated to a docs toctree sorting fix." + }, + { + "left": "pull_request:3652", + "right": "pull_request:3681", + "accept": false, + "reason": "Both touch checkpoint-related training code, but one changes checkpoint naming in tests/scripts while the other switches checkpoint limit enforcement away from Accelerate across many example scripts. Related ecosystem, different underlying change." + }, + { + "left": "pull_request:5301", + "right": "pull_request:6225", + "accept": false, + "reason": "SDXL text-encoder support fix versus LoRA alpha parsing/loading correctness. They affect different subsystems and bug reports." + }, + { + "left": "pull_request:5842", + "right": "pull_request:5974", + "accept": false, + "reason": "Both edit PixArtAlphaPipeline, but one fixes 512px aspect-ratio selection and the other adds a timesteps helper for LCM adaptation. Not mergeable as one PR for one bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 190, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10322", + "pull_request:10731", + "pull_request:1089", + "pull_request:10975", + "pull_request:11142", + "pull_request:11522", + "pull_request:11595", + "pull_request:11999", + "pull_request:12188", + "pull_request:12424", + "pull_request:12581", + "pull_request:12805", + "pull_request:12960", + "pull_request:1299", + "pull_request:12998", + "pull_request:130", + "pull_request:13056", + "pull_request:1386", + "pull_request:1968", + "pull_request:1977", + "pull_request:2279", + "pull_request:2314", + "pull_request:3723", + "pull_request:5038", + "pull_request:5111", + "pull_request:5697", + "pull_request:6241", + "pull_request:6311", + "pull_request:6332", + "pull_request:6365", + "pull_request:6673", + "pull_request:6787", + "pull_request:7206", + "pull_request:7507", + "pull_request:788", + "pull_request:7924", + "pull_request:7934", + "pull_request:8467", + "pull_request:8618", + "pull_request:8627", + "pull_request:8722", + "pull_request:9160", + "pull_request:9175", + "pull_request:9442", + "pull_request:9736", + "pull_request:978", + "pull_request:9816" + ], + "soft_pairs": [ + "pull_request:6241|pull_request:7924", + "pull_request:6787|pull_request:7507", + "pull_request:7934|pull_request:9442", + "pull_request:10322|pull_request:11142", + "pull_request:10731|pull_request:10975", + "pull_request:1089|pull_request:1386", + "pull_request:11142|pull_request:12188", + "pull_request:11522|pull_request:12424", + "pull_request:11595|pull_request:11999", + "pull_request:12424|pull_request:12960", + "pull_request:12581|pull_request:13056", + "pull_request:12805|pull_request:12998", + "pull_request:1299|pull_request:130", + "pull_request:1968|pull_request:2314", + "pull_request:1977|pull_request:2279", + "pull_request:2279|pull_request:3723", + "pull_request:5038|pull_request:5697", + "pull_request:5111|pull_request:6365", + "pull_request:6311|pull_request:8627", + "pull_request:6332|pull_request:8467", + "pull_request:6673|pull_request:6787", + "pull_request:7206|pull_request:9160", + "pull_request:788|pull_request:978", + "pull_request:8618|pull_request:9736", + "pull_request:8722|pull_request:9736", + "pull_request:9175|pull_request:9816" + ], + "prepared_review_unit_hash": "bd671abc67e33fcb780a9b0091b2e099a2e0f02e850009dd91be596fd4d09c7f", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 101892, + "estimated_input_tokens": 25473, + "estimated_eval_tokens": 51202 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster does not contain a true duplicate set: the soft pairs span unrelated docs, CI/workflow, training-script, model, scheduler, and pipeline changes. All soft edges should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR stands out because the items are not one underlying bug/change; they cover many distinct subsystems and feature additions.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR for deduping: the strongest candidates are feature or maintenance PRs, not evidence of a shared duplicate fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6241", + "right": "pull_request:7924", + "accept": false, + "reason": "Unrelated bugs: a runtime dtype/bias error vs. an IP-Adapter conditional fix in SDXL ControlNet inpaint." + }, + { + "left": "pull_request:6787", + "right": "pull_request:7507", + "accept": false, + "reason": "Different features: Marigold depth input-range handling vs. a new InstantID SDXL img2img community pipeline." + }, + { + "left": "pull_request:7934", + "right": "pull_request:9442", + "accept": false, + "reason": "Single-file config loading when passing dicts is unrelated to CI test scheduling for deprecated attention blocks." + }, + { + "left": "pull_request:10322", + "right": "pull_request:11142", + "accept": false, + "reason": "Same script, but different Sana model families and converter updates; not the same concrete fix." + }, + { + "left": "pull_request:10731", + "right": "pull_request:10975", + "accept": false, + "reason": "Video pipeline output typing changes vs. Wan pipeline bug fixes are separate code paths and changes." + }, + { + "left": "pull_request:1089", + "right": "pull_request:1386", + "accept": false, + "reason": "Docs-only scheduler usage guidance is not the same as implementing v-prediction in schedulers." + }, + { + "left": "pull_request:11142", + "right": "pull_request:12188", + "accept": false, + "reason": "Sana Sprint converter adjustments and Qwen-Image-Edit dimension logic are unrelated." + }, + { + "left": "pull_request:11522", + "right": "pull_request:12424", + "accept": false, + "reason": "Audioldm2 transformers compatibility fix and Docker/workflow definition cleanup are unrelated maintenance changes." + }, + { + "left": "pull_request:11595", + "right": "pull_request:11999", + "accept": false, + "reason": "Both touch LoRA code, but one is a narrow Flux load-lora fix and the other is a broader PEFT injection-method adaptation; not the same bug." + }, + { + "left": "pull_request:12424", + "right": "pull_request:12960", + "accept": false, + "reason": "Docker/workflow definition cleanup is unrelated to the Flux2 training-script FSDP detection fix." + }, + { + "left": "pull_request:12581", + "right": "pull_request:13056", + "accept": false, + "reason": "LoRA Qwen support changes and a Z-Image DreamBooth training example are different features." + }, + { + "left": "pull_request:12805", + "right": "pull_request:12998", + "accept": false, + "reason": "PyPI publish workflow tweaks do not match a style-only cleanup across pipeline docstrings." + }, + { + "left": "pull_request:1299", + "right": "pull_request:130", + "accept": false, + "reason": "AltDiffusion model/docs addition is unrelated to a small examples README update about accelerate config." + }, + { + "left": "pull_request:1968", + "right": "pull_request:2314", + "accept": false, + "reason": "CPU offload behavior correction is unrelated to fast-test expected-slice adjustments." + }, + { + "left": "pull_request:1977", + "right": "pull_request:2279", + "accept": false, + "reason": "These are different areas: training-script/scheduler tweaks vs. repo linting tool migration." + }, + { + "left": "pull_request:2279", + "right": "pull_request:3723", + "accept": false, + "reason": "Ruff/black workflow migration is unrelated to the community reference-pipeline update." + }, + { + "left": "pull_request:5038", + "right": "pull_request:5697", + "accept": false, + "reason": "Making optional arguments explicit in a transformer layer is not the same as fixing PEFT LoRA with xformers enabled." + }, + { + "left": "pull_request:5111", + "right": "pull_request:6365", + "accept": false, + "reason": "Both affect the same scheduler file, but one adds Karras-sigma support while the other fixes MPS dtype handling; different bugs." + }, + { + "left": "pull_request:6311", + "right": "pull_request:8627", + "accept": false, + "reason": "A fast-diffusion tutorial and SD3 ControlNet docs/model additions are separate documentation/features." + }, + { + "left": "pull_request:6332", + "right": "pull_request:8467", + "accept": false, + "reason": "Different community examples: Rerender-A-Video vs. SEGA pipeline bugfix." + }, + { + "left": "pull_request:6673", + "right": "pull_request:6787", + "accept": false, + "reason": "InstantID pipeline addition and Marigold input-range fix are unrelated." + }, + { + "left": "pull_request:7206", + "right": "pull_request:9160", + "accept": false, + "reason": "Training-script tagging changes are unrelated to Flux DreamBooth latent-caching behavior." + }, + { + "left": "pull_request:788", + "right": "pull_request:978", + "accept": false, + "reason": "PIL sampler warning fixes in img2img/inpaint are not duplicates of typo/documentation edits." + }, + { + "left": "pull_request:8618", + "right": "pull_request:9736", + "accept": false, + "reason": "SD3 tiny autoencoder shift_factor support and Allegro T2V are different model additions." + }, + { + "left": "pull_request:8722", + "right": "pull_request:9736", + "accept": false, + "reason": "A large embeddings refactor is not the same change as adding Allegro T2V support." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9816", + "accept": false, + "reason": "Flux ControlNet support and RF-inversion Flux pipeline are distinct Flux features with different code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 191, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10354", + "pull_request:10497", + "pull_request:10557", + "pull_request:10894", + "pull_request:11067", + "pull_request:11243", + "pull_request:11975", + "pull_request:12021", + "pull_request:12095", + "pull_request:1229", + "pull_request:12416", + "pull_request:12424", + "pull_request:12519", + "pull_request:12960", + "pull_request:13126", + "pull_request:13321", + "pull_request:13338", + "pull_request:13364", + "pull_request:1458", + "pull_request:1582", + "pull_request:1583", + "pull_request:1913", + "pull_request:1942", + "pull_request:2001", + "pull_request:2655", + "pull_request:3034", + "pull_request:3128", + "pull_request:3294", + "pull_request:3446", + "pull_request:3590", + "pull_request:3673", + "pull_request:3681", + "pull_request:4062", + "pull_request:4262", + "pull_request:4690", + "pull_request:4706", + "pull_request:4744", + "pull_request:4793", + "pull_request:5393", + "pull_request:5438", + "pull_request:5697", + "pull_request:5807", + "pull_request:676", + "pull_request:6994", + "pull_request:7461", + "pull_request:823", + "pull_request:9696", + "pull_request:9807" + ], + "soft_pairs": [ + "pull_request:12416|pull_request:13126", + "pull_request:12519|pull_request:13321", + "pull_request:4062|pull_request:5438", + "pull_request:12021|pull_request:12095", + "pull_request:10354|pull_request:9696", + "pull_request:10497|pull_request:11067", + "pull_request:10557|pull_request:9696", + "pull_request:10894|pull_request:11975", + "pull_request:11243|pull_request:9807", + "pull_request:1229|pull_request:1458", + "pull_request:12424|pull_request:13338", + "pull_request:12960|pull_request:13364", + "pull_request:1582|pull_request:676", + "pull_request:1583|pull_request:676", + "pull_request:1913|pull_request:823", + "pull_request:1942|pull_request:2001", + "pull_request:2655|pull_request:3294", + "pull_request:3034|pull_request:3446", + "pull_request:3128|pull_request:3673", + "pull_request:3590|pull_request:5807", + "pull_request:3681|pull_request:4690", + "pull_request:4262|pull_request:4706", + "pull_request:4744|pull_request:5393", + "pull_request:4793|pull_request:6994", + "pull_request:5697|pull_request:7461" + ], + "prepared_review_unit_hash": "0b32cb05907abd372412851a41c9ecd272517da66070a7397def844dc23ce9e5", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 96059, + "estimated_input_tokens": 24015, + "estimated_eval_tokens": 48286 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not a true duplicate cluster: the soft edges connect largely unrelated PRs across docs, CI, model code, loaders, examples, and workflows. I rejected all candidate pairs as they do not fix the same concrete bug/change.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No coherent canonical PR: the items are heterogeneous and do not represent one underlying bug or change.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good global representative because the candidates span unrelated subsystems and purposes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12416", + "right": "pull_request:13126", + "accept": false, + "reason": "Different features and code paths: QwenImage Edit Plus modular support vs Z-Image distilled LoRA conversion." + }, + { + "left": "pull_request:12519", + "right": "pull_request:13321", + "accept": false, + "reason": "Unrelated changes: toctree sorting in docs vs guarding a torchvision import in Cosmos." + }, + { + "left": "pull_request:4062", + "right": "pull_request:5438", + "accept": false, + "reason": "Different product areas: Shap-E 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a training example are not the same change." + }, + { + "left": "pull_request:11243", + "right": "pull_request:9807", + "accept": false, + "reason": "Both touch LoRA-related code, but one adds Musubi WAN LoRA conversion while the other adds PeftAdapterMixin to AutoencoderKL; different concrete code paths." + }, + { + "left": "pull_request:1229", + "right": "pull_request:1458", + "accept": false, + "reason": "DreamBooth README wording vs onnxruntime package detection are unrelated." + }, + { + "left": "pull_request:12424", + "right": "pull_request:13338", + "accept": false, + "reason": "Docker image definitions vs Claude workflow token permissions are unrelated infrastructure fixes." + }, + { + "left": "pull_request:12960", + "right": "pull_request:13364", + "accept": false, + "reason": "Different bugs in different training/model code paths: fsdp detection vs blur-kernel dtype casting." + }, + { + "left": "pull_request:1582", + "right": "pull_request:676", + "accept": false, + "reason": "RePaint scheduler behavior/test changes are unrelated to a ResNet variable rename." + }, + { + "left": "pull_request:1583", + "right": "pull_request:676", + "accept": false, + "reason": "Legacy inpaint scheduler behavior fix is unrelated to the ResNet rename PR." + }, + { + "left": "pull_request:1913", + "right": "pull_request:823", + "accept": false, + "reason": "Both are input-validation-ish, but they address different validation bugs in different pipelines." + }, + { + "left": "pull_request:1942", + "right": "pull_request:2001", + "accept": false, + "reason": "Convert-script flag handling and a ColossalAI seed typo are unrelated." + }, + { + "left": "pull_request:2655", + "right": "pull_request:3294", + "accept": false, + "reason": "Both involve LoRA loading, but one corrects load/save behavior while the other adds a prefix-based loading implementation; not the same fix." + }, + { + "left": "pull_request:3034", + "right": "pull_request:3446", + "accept": false, + "reason": "Accelerate parameter-name fix vs docstring wording fix are unrelated." + }, + { + "left": "pull_request:3128", + "right": "pull_request:3673", + "accept": false, + "reason": "Img2img timestep selection bug vs DreamBooth multi-GPU fix are different changes." + }, + { + "left": "pull_request:3590", + "right": "pull_request:5807", + "accept": false, + "reason": "Community pipeline/docs addition vs lpw_stable_diffusion_xl prompt embedding duplication support are unrelated." + }, + { + "left": "pull_request:3681", + "right": "pull_request:4690", + "accept": false, + "reason": "Checkpoint-limit handling vs DPMSolver scheduler refactor are unrelated code paths." + }, + { + "left": "pull_request:4262", + "right": "pull_request:4706", + "accept": false, + "reason": "Both mention LoRA, but one is an SDXL DreamBooth training bundle and the other is a narrow alpha defaulting fix in loader internals." + }, + { + "left": "pull_request:4744", + "right": "pull_request:5393", + "accept": false, + "reason": "AudioLDM docstring update vs HFApi training docs/example update are unrelated." + }, + { + "left": "pull_request:4793", + "right": "pull_request:6994", + "accept": false, + "reason": "AutoPipeline config-kwargs handling and single-file torch_dtype plumbing are different issues." + }, + { + "left": "pull_request:5697", + "right": "pull_request:7461", + "accept": false, + "reason": "PEFT/xformers LoRA bugfix vs a testing utility boolean parser are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 192, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10122", + "pull_request:10126", + "pull_request:10140", + "pull_request:10188", + "pull_request:10326", + "pull_request:10358", + "pull_request:10431", + "pull_request:10595", + "pull_request:10723", + "pull_request:11916", + "pull_request:11967", + "pull_request:12109", + "pull_request:12226", + "pull_request:12301", + "pull_request:12490", + "pull_request:12534", + "pull_request:12549", + "pull_request:12736", + "pull_request:12919", + "pull_request:13321", + "pull_request:13490", + "pull_request:2193", + "pull_request:2452", + "pull_request:2902", + "pull_request:3587", + "pull_request:3770", + "pull_request:4499", + "pull_request:4500", + "pull_request:4501", + "pull_request:4502", + "pull_request:5033", + "pull_request:5301", + "pull_request:5559", + "pull_request:5898", + "pull_request:6217", + "pull_request:7062", + "pull_request:7410", + "pull_request:7461", + "pull_request:7714", + "pull_request:7720", + "pull_request:8691", + "pull_request:8897", + "pull_request:9247", + "pull_request:9257", + "pull_request:9311", + "pull_request:9592", + "pull_request:9723" + ], + "soft_pairs": [ + "pull_request:5898|pull_request:7714", + "pull_request:7062|pull_request:7461", + "pull_request:7410|pull_request:7720", + "pull_request:9247|pull_request:9723", + "pull_request:12534|pull_request:13490", + "pull_request:11916|pull_request:11967", + "pull_request:12549|pull_request:12919", + "pull_request:10723|pull_request:9311", + "pull_request:12226|pull_request:12736", + "pull_request:12490|pull_request:13321", + "pull_request:2193|pull_request:2452", + "pull_request:3587|pull_request:5559", + "pull_request:3770|pull_request:4499", + "pull_request:3770|pull_request:4500", + "pull_request:3770|pull_request:4501", + "pull_request:3770|pull_request:4502", + "pull_request:5301|pull_request:6217", + "pull_request:10140|pull_request:8897", + "pull_request:12109|pull_request:12301", + "pull_request:2902|pull_request:5033", + "pull_request:10122|pull_request:10188", + "pull_request:10126|pull_request:9257", + "pull_request:10326|pull_request:8691", + "pull_request:10358|pull_request:9592", + "pull_request:10431|pull_request:10595" + ], + "prepared_review_unit_hash": "c20d0546b7d240cada6991664afc3e872b4905b4b83d12bb9a1c821345a3033e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 99603, + "estimated_input_tokens": 24901, + "estimated_eval_tokens": 50058 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly false-positive similarity: the PRs span unrelated docs, pipelines, schedulers, attention backends, CI, and model-specific fixes. None of the suggested soft pairs looks like the same underlying bug or change, so no duplicate merge is warranted.", + "confidence": 0.96, + "canonical_issue_reason": "No canonical issue: the cluster contains only pull requests, not issues.", + "canonical_pr_reason": "No single PR is a good canonical representative because the items are not one duplicate change; they cover unrelated subsystems and different fixes/features.", + "best_issue_reason": "No issue is suitable as a global representative for this cluster.", + "best_pr_reason": "No PR is suitable as a global representative; the set is too heterogeneous and the soft links are only superficial title/subsystem similarity.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5898", + "right": "pull_request:7714", + "accept": false, + "reason": "Both are docs PRs, but they edit different documentation areas and address different content changes, not the same underlying bug or feature." + }, + { + "left": "pull_request:7062", + "right": "pull_request:7461", + "accept": false, + "reason": "Unrelated changes: one is a community pipeline docstring edit, the other is a testing utility fix." + }, + { + "left": "pull_request:7410", + "right": "pull_request:7720", + "accept": false, + "reason": "These touch different problems: FreeInit behavior in animation pipelines vs dead code/f-string cleanup in assorted scripts." + }, + { + "left": "pull_request:9247", + "right": "pull_request:9723", + "accept": false, + "reason": "Different code paths and goals: pipeline variant discovery vs a Matryoshka diffusion image-generation tweak." + }, + { + "left": "pull_request:12534", + "right": "pull_request:13490", + "accept": false, + "reason": "Both are NPU-related, but one fixes Flux rotary embeddings on Ascend and the other changes NPU attention-mask shape handling; distinct bugs." + }, + { + "left": "pull_request:11916", + "right": "pull_request:11967", + "accept": false, + "reason": "11916 is a broad Flux/Chroma refactor; 11967 only changes attention-backend warnings/runtime errors. Not the same concrete change." + }, + { + "left": "pull_request:12549", + "right": "pull_request:12919", + "accept": false, + "reason": "Different attention-backend additions for different hardware paths; they are not the same fix and would not merge into one PR." + }, + { + "left": "pull_request:10723", + "right": "pull_request:9311", + "accept": false, + "reason": "Both involve ControlNet, but one adds per-control-type scaling in Union while the other adds CFG cutoff callbacks for SDXL ControlNet." + }, + { + "left": "pull_request:12226", + "right": "pull_request:12736", + "accept": false, + "reason": "A new fast test for Qwen-Image ControlNet is unrelated to enabling regional compilation on the Z-Image transformer." + }, + { + "left": "pull_request:12490", + "right": "pull_request:13321", + "accept": false, + "reason": "One is a test fixture change for AudioLDM2; the other fixes an unguarded torchvision import in Cosmos." + }, + { + "left": "pull_request:2193", + "right": "pull_request:2452", + "accept": false, + "reason": "A pipeline feature addition and a docs-only core API page are not the same underlying change." + }, + { + "left": "pull_request:3587", + "right": "pull_request:5559", + "accept": false, + "reason": "Community README/example additions for different pipelines; unrelated changes." + }, + { + "left": "pull_request:3770", + "right": "pull_request:4499", + "accept": false, + "reason": "Guidance start/stop for ControlNet is unrelated to SDXL reference-attention community pipeline work." + }, + { + "left": "pull_request:3770", + "right": "pull_request:4500", + "accept": false, + "reason": "Same as above: different pipeline behavior and different feature area." + }, + { + "left": "pull_request:3770", + "right": "pull_request:4501", + "accept": false, + "reason": "Same as above: control guidance scheduling vs SDXL reference pipeline." + }, + { + "left": "pull_request:3770", + "right": "pull_request:4502", + "accept": false, + "reason": "Same as above: these are distinct pipeline features, not one duplicate fix." + }, + { + "left": "pull_request:5301", + "right": "pull_request:6217", + "accept": false, + "reason": "SDXL text-encoder optionality and Stable Video Diffusion VAE compile support are separate issues." + }, + { + "left": "pull_request:10140", + "right": "pull_request:8897", + "accept": false, + "reason": "Both are large feature PRs, but ConsisID and AnimateDiff SparseCtrl are unrelated models/pipelines." + }, + { + "left": "pull_request:12109", + "right": "pull_request:12301", + "accept": false, + "reason": "Scheduler custom-sigma support and Qwen-Image ControlNet inpainting are unrelated changes." + }, + { + "left": "pull_request:2902", + "right": "pull_request:5033", + "accept": false, + "reason": "Both touch image pipelines, but one adds cross_attention_kwargs plumbing while the other fixes inpaint latent handling; not the same bug." + }, + { + "left": "pull_request:10122", + "right": "pull_request:10188", + "accept": false, + "reason": "Flux attention-mask forwarding and Flux LoRA-loading expansion are different code-path problems." + }, + { + "left": "pull_request:10126", + "right": "pull_request:9257", + "accept": false, + "reason": "A LoRA deprecation change and a Dreambooth Flux script fix are unrelated." + }, + { + "left": "pull_request:10326", + "right": "pull_request:8691", + "accept": false, + "reason": "CI workflow quoting and LoRA loading logic are completely different changes." + }, + { + "left": "pull_request:10358", + "right": "pull_request:9592", + "accept": false, + "reason": "Both are docs-related, but they update different documentation topics with no shared bug or feature." + }, + { + "left": "pull_request:10431", + "right": "pull_request:10595", + "accept": false, + "reason": "Both mention attention-like behavior, but Sana positional embedding and quadratic-attention bf16 casting are different model-specific fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 193, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10539", + "pull_request:10704", + "pull_request:11025", + "pull_request:11059", + "pull_request:11066", + "pull_request:11067", + "pull_request:11236", + "pull_request:11325", + "pull_request:11614", + "pull_request:11743", + "pull_request:11767", + "pull_request:11770", + "pull_request:11786", + "pull_request:11814", + "pull_request:11892", + "pull_request:11894", + "pull_request:12005", + "pull_request:12137", + "pull_request:1215", + "pull_request:12231", + "pull_request:1230", + "pull_request:12363", + "pull_request:12425", + "pull_request:12527", + "pull_request:12530", + "pull_request:12586", + "pull_request:12805", + "pull_request:12998", + "pull_request:1311", + "pull_request:13134", + "pull_request:13472", + "pull_request:1360", + "pull_request:1425", + "pull_request:1625", + "pull_request:171", + "pull_request:1780", + "pull_request:1849", + "pull_request:1968", + "pull_request:1978", + "pull_request:227", + "pull_request:2386", + "pull_request:2640", + "pull_request:2715", + "pull_request:796", + "pull_request:8932", + "pull_request:9103", + "pull_request:9688", + "pull_request:9769" + ], + "soft_pairs": [ + "pull_request:10539|pull_request:8932", + "pull_request:10704|pull_request:9103", + "pull_request:11025|pull_request:11066", + "pull_request:11059|pull_request:9769", + "pull_request:11067|pull_request:11614", + "pull_request:11236|pull_request:9688", + "pull_request:11325|pull_request:11770", + "pull_request:11743|pull_request:11814", + "pull_request:11767|pull_request:12005", + "pull_request:11786|pull_request:11894", + "pull_request:11892|pull_request:12805", + "pull_request:12137|pull_request:12998", + "pull_request:1215|pull_request:1968", + "pull_request:12231|pull_request:12527", + "pull_request:1230|pull_request:796", + "pull_request:12363|pull_request:12530", + "pull_request:12425|pull_request:13134", + "pull_request:12586|pull_request:13472", + "pull_request:1311|pull_request:227", + "pull_request:1360|pull_request:1978", + "pull_request:1425|pull_request:2386", + "pull_request:1625|pull_request:2640", + "pull_request:171|pull_request:1849", + "pull_request:1780|pull_request:2715" + ], + "prepared_review_unit_hash": "350fe8614020bb454791f03aeb7d1c89332d4429fe311faddf50b60f7176aaf6", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 97581, + "estimated_input_tokens": 24396, + "estimated_eval_tokens": 49048 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft-similarity pairs are mostly superficial matches on keywords or broad subsystems (Flux, docs, CI, tests), but they do not describe the same underlying bug or change. No duplicate pair is convincing here.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:10539", + "right": "pull_request:8932", + "accept": false, + "reason": "Flux CFG logic fix vs. Temporal Transformer test coverage; unrelated changes." + }, + { + "left": "pull_request:10704", + "right": "pull_request:9103", + "accept": false, + "reason": "Documentation edit for img2img vs. distributed LR scheduler fix; different code paths and goals." + }, + { + "left": "pull_request:11025", + "right": "pull_request:11066", + "accept": false, + "reason": "Wan LoRA conversion support vs. new HunyuanVideo I2V model support; separate features." + }, + { + "left": "pull_request:11059", + "right": "pull_request:9769", + "accept": false, + "reason": "Wan LoRA conversion tweak vs. Mochi model/pipeline addition; not the same change." + }, + { + "left": "pull_request:11067", + "right": "pull_request:11614", + "accept": false, + "reason": "Benchmark transformers pinning vs. docker CI security/workflow fix; unrelated CI changes." + }, + { + "left": "pull_request:11236", + "right": "pull_request:9688", + "accept": false, + "reason": "Two different documentation updates for different pipelines; no shared underlying bug or feature." + }, + { + "left": "pull_request:11325", + "right": "pull_request:11770", + "accept": false, + "reason": "HiDream docstring decorator fix vs. LoRA docs cleanup; both docs-oriented but not the same issue." + }, + { + "left": "pull_request:11743", + "right": "pull_request:11814", + "accept": false, + "reason": "Research training script addition vs. Flux gradient-checkpointing bug fix; unrelated." + }, + { + "left": "pull_request:11767", + "right": "pull_request:12005", + "accept": false, + "reason": "Shared modeling tests file, but one fixes group-offloading disk addressing and the other sharded checkpoint local-only behavior." + }, + { + "left": "pull_request:11786", + "right": "pull_request:11894", + "accept": false, + "reason": "Big-GPU test marker correction vs. k-diffusion dependency pin; different subsystems." + }, + { + "left": "pull_request:11892", + "right": "pull_request:12805", + "accept": false, + "reason": "Removing k-diffusion from core deps vs. PyPI publish workflow edits; not the same change." + }, + { + "left": "pull_request:12137", + "right": "pull_request:12998", + "accept": false, + "reason": "Parallel-loading constant refactor vs. broad style/docstring cleanup; unrelated." + }, + { + "left": "pull_request:1215", + "right": "pull_request:1968", + "accept": false, + "reason": "DDIM eta/cpu-generator bug fix vs. CPU offload doc corrections; different artifact types and issues." + }, + { + "left": "pull_request:12231", + "right": "pull_request:12527", + "accept": false, + "reason": "Typo fix in example docs vs. Kandinsky5 CFG bug fix; no overlap beyond generic cleanup." + }, + { + "left": "pull_request:1230", + "right": "pull_request:796", + "accept": false, + "reason": "MPS fast-test fix vs. adding Apple M1 tests; related platform, but not the same concrete bug/change." + }, + { + "left": "pull_request:12363", + "right": "pull_request:12530", + "accept": false, + "reason": "QwenImageEdit Plus docs/test addition vs. Stable Cascade test xfail; unrelated." + }, + { + "left": "pull_request:12425", + "right": "pull_request:13134", + "accept": false, + "reason": "torch.distributed import guard vs. Cosmos transformer typing fix; different code areas." + }, + { + "left": "pull_request:12586", + "right": "pull_request:13472", + "accept": false, + "reason": "Documentation ordering change vs. agents docs float64 guidance; unrelated docs changes." + }, + { + "left": "pull_request:1311", + "right": "pull_request:227", + "accept": false, + "reason": "AltDiffusion test additions vs. scheduler add_noise implementation; unrelated." + }, + { + "left": "pull_request:1360", + "right": "pull_request:1978", + "accept": false, + "reason": "k-diffusion community pipeline docs/code vs. push_to_hub implementation work; different features." + }, + { + "left": "pull_request:1425", + "right": "pull_request:2386", + "accept": false, + "reason": "Simple docs typo fixes vs. UniPC docs rewrite; not the same underlying issue." + }, + { + "left": "pull_request:1625", + "right": "pull_request:2640", + "accept": false, + "reason": "k-diffusion pipeline sizing fix vs. telemetry removal in pipeline loading; unrelated." + }, + { + "left": "pull_request:171", + "right": "pull_request:1849", + "accept": false, + "reason": "LDM eta-condition fix vs. cross_attention_kwargs support in a different attention module; not duplicates." + }, + { + "left": "pull_request:1780", + "right": "pull_request:2715", + "accept": false, + "reason": "Upscale preprocessing comment fix vs. broad typo cleanup; superficial text similarity only." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 194, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1850", + "pull_request:2122", + "pull_request:2126", + "pull_request:2365", + "pull_request:2529", + "pull_request:2530", + "pull_request:2553", + "pull_request:2598", + "pull_request:2604", + "pull_request:2693", + "pull_request:2757", + "pull_request:2861", + "pull_request:2968", + "pull_request:3127", + "pull_request:327", + "pull_request:3473", + "pull_request:3572", + "pull_request:3607", + "pull_request:3642", + "pull_request:3644", + "pull_request:3797", + "pull_request:386", + "pull_request:3942", + "pull_request:3957", + "pull_request:3989", + "pull_request:3995", + "pull_request:400", + "pull_request:401", + "pull_request:402", + "pull_request:4058", + "pull_request:4106", + "pull_request:4203", + "pull_request:4285", + "pull_request:4442", + "pull_request:5036", + "pull_request:5098", + "pull_request:5276", + "pull_request:5369", + "pull_request:5396", + "pull_request:5526", + "pull_request:5699", + "pull_request:5724", + "pull_request:5738", + "pull_request:5844", + "pull_request:628", + "pull_request:796", + "pull_request:819" + ], + "soft_pairs": [ + "pull_request:1850|pull_request:2861", + "pull_request:2122|pull_request:402", + "pull_request:2126|pull_request:2693", + "pull_request:2365|pull_request:327", + "pull_request:2529|pull_request:2757", + "pull_request:2530|pull_request:796", + "pull_request:2553|pull_request:3642", + "pull_request:2598|pull_request:628", + "pull_request:2604|pull_request:628", + "pull_request:2968|pull_request:819", + "pull_request:3127|pull_request:5396", + "pull_request:3473|pull_request:4442", + "pull_request:3572|pull_request:5036", + "pull_request:3607|pull_request:5526", + "pull_request:3644|pull_request:5844", + "pull_request:3797|pull_request:3957", + "pull_request:386|pull_request:401", + "pull_request:3942|pull_request:5098", + "pull_request:3942|pull_request:5276", + "pull_request:3942|pull_request:5724", + "pull_request:3989|pull_request:5699", + "pull_request:3995|pull_request:4058", + "pull_request:3995|pull_request:4285", + "pull_request:400|pull_request:401", + "pull_request:4106|pull_request:5738", + "pull_request:4203|pull_request:5369" + ], + "prepared_review_unit_hash": "b6d2e0fb0a29c9420f49ecfb1b0f9d99754908a0d4af32894eb6836314e300c4", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 98789, + "estimated_input_tokens": 24698, + "estimated_eval_tokens": 49652 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Almost all soft-similarity pairs are false positives across unrelated docs/tests/maintenance changes. The only plausible mergeable duplicate is the attention-naming pair `3797`/`3957`, which both appear to address the same core model attention-head naming correction.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 3797 is the strongest representative PR: it is merged and makes a broad attention-head naming correction across core model files. It should not be described as explicitly issue-linked, because the packet shows `explicit_issue_links: 0`.", + "best_issue_reason": null, + "best_pr_reason": "PR 3797 is the best standalone PR in this set because it is a concrete core-model bug fix affecting many attention-related files, whereas the other PRs are mostly docs/tests or narrower maintenance changes. Its standalone strength does not rely on any explicit issue link.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1850", + "right": "pull_request:2861", + "accept": false, + "reason": "Different test additions for different features: ResnetBlock2D coverage vs StableUnCLIP `image_embeds=None` handling." + }, + { + "left": "pull_request:2122", + "right": "pull_request:402", + "accept": false, + "reason": "Both are docs-related, but they cover unrelated topics: safetensors usage vs a broad docs intro/toctree overhaul." + }, + { + "left": "pull_request:2126", + "right": "pull_request:2693", + "accept": false, + "reason": "Unrelated doc fixes: duplicate `torch_dtype` docstring cleanup vs an inpaint image-link correction." + }, + { + "left": "pull_request:2365", + "right": "pull_request:327", + "accept": false, + "reason": "A scheduler enum note is not the same change as adding type hints to the PNDM pipeline." + }, + { + "left": "pull_request:2529", + "right": "pull_request:2757", + "accept": false, + "reason": "Different code paths: OpenCLIP checkpoint conversion fallback vs depth-map batching in depth2img." + }, + { + "left": "pull_request:2530", + "right": "pull_request:796", + "accept": false, + "reason": "Both add tests, but they target different features and failure modes; not the same bug fix." + }, + { + "left": "pull_request:2553", + "right": "pull_request:3642", + "accept": false, + "reason": "CFG flag handling in Flax Stable Diffusion is unrelated to adding TensorRT inpainting pipeline support." + }, + { + "left": "pull_request:2598", + "right": "pull_request:628", + "accept": false, + "reason": "Separate documentation edits for different pages/features; no shared underlying change." + }, + { + "left": "pull_request:2604", + "right": "pull_request:628", + "accept": false, + "reason": "A colab-link fix in the index is unrelated to the DDPM colab placement change." + }, + { + "left": "pull_request:2968", + "right": "pull_request:819", + "accept": false, + "reason": "Different bugs in different code paths: img2img post-processing vs DDIM timestep dtype on Windows." + }, + { + "left": "pull_request:3127", + "right": "pull_request:5396", + "accept": false, + "reason": "Safety checker tensor handling is unrelated to the stale bot timezone datetime fix." + }, + { + "left": "pull_request:3473", + "right": "pull_request:4442", + "accept": false, + "reason": "Both add docs, but for different model features and tutorial pages; not one underlying change." + }, + { + "left": "pull_request:3572", + "right": "pull_request:5036", + "accept": false, + "reason": "ControlNet inpaint docs and import/dummy-object plumbing are unrelated maintenance changes." + }, + { + "left": "pull_request:3607", + "right": "pull_request:5526", + "accept": false, + "reason": "Core attention processor changes are unrelated to the second-order scheduler logic fix." + }, + { + "left": "pull_request:3644", + "right": "pull_request:5844", + "accept": false, + "reason": "Both are docs updates, but they document different examples and features." + }, + { + "left": "pull_request:3797", + "right": "pull_request:3957", + "accept": true, + "reason": "Both concern the same attention-head naming/correction work in the same UNet model code paths, and `3957` looks like a plausible follow-up piece of the same fix." + }, + { + "left": "pull_request:386", + "right": "pull_request:401", + "accept": false, + "reason": "Different pipeline docs and code: Stable Diffusion pipeline overview vs Karras VE docs." + }, + { + "left": "pull_request:3942", + "right": "pull_request:5098", + "accept": false, + "reason": "A test harness fix for np outputs is unrelated to Kandinsky precision test coverage." + }, + { + "left": "pull_request:3942", + "right": "pull_request:5276", + "accept": false, + "reason": "Test-output handling and scheduler 1D support are unrelated changes." + }, + { + "left": "pull_request:3942", + "right": "pull_request:5724", + "accept": false, + "reason": "A common test helper change does not match a LoRA backend test/decorator change." + }, + { + "left": "pull_request:3989", + "right": "pull_request:5699", + "accept": false, + "reason": "Slow-test fixes in SDXL do not share the same underlying change as a styling-only stable unclip/text-unet cleanup." + }, + { + "left": "pull_request:3995", + "right": "pull_request:4058", + "accept": false, + "reason": "SDXL prompt-embedding plumbing is unrelated to a docs image/table update." + }, + { + "left": "pull_request:3995", + "right": "pull_request:4285", + "accept": false, + "reason": "Core SDXL pipeline changes are unrelated to ONNX/OpenVINO documentation work." + }, + { + "left": "pull_request:400", + "right": "pull_request:401", + "accept": false, + "reason": "They are different docs pages for different pipelines; no shared concrete change." + }, + { + "left": "pull_request:4106", + "right": "pull_request:5738", + "accept": false, + "reason": "A new Tortoise TTS pipeline and LoRA adapter deletion are entirely separate features." + }, + { + "left": "pull_request:4203", + "right": "pull_request:5369", + "accept": false, + "reason": "DreamBooth README typo cleanup and general docs minor fixes are separate doc edits, not one fix." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The evaluation is mostly conservative, but it overstates the evidence for PR 3797. In the packet, PR 3797 is merged and clearly about the attention naming fix, but it does **not** have an explicit issue link (`explicit_issue_links: 0`), so calling it \u201cexplicitly issue-linked\u201d and citing \u201cclearest issue context\u201d is unsupported. The borderline 3797\u21943957 pair is plausibly the same attention-name correction, but the standalone PR reasoning needs to stay grounded in the packet." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 195, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:4211", + "pull_request:4347", + "pull_request:4397", + "pull_request:4499", + "pull_request:4500", + "pull_request:4811", + "pull_request:4856", + "pull_request:5097", + "pull_request:5164", + "pull_request:5275", + "pull_request:5369", + "pull_request:5384", + "pull_request:5391", + "pull_request:5420", + "pull_request:5526", + "pull_request:5602", + "pull_request:5653", + "pull_request:5698", + "pull_request:5741", + "pull_request:5831", + "pull_request:5982", + "pull_request:6179", + "pull_request:6198", + "pull_request:6221", + "pull_request:6305", + "pull_request:6308", + "pull_request:6360", + "pull_request:6365", + "pull_request:6369", + "pull_request:6498", + "pull_request:6564", + "pull_request:6997", + "pull_request:6998", + "pull_request:7247", + "pull_request:7260", + "pull_request:7328", + "pull_request:7353", + "pull_request:7371", + "pull_request:7473", + "pull_request:7679", + "pull_request:7857", + "pull_request:8298", + "pull_request:8404", + "pull_request:8452", + "pull_request:9242", + "pull_request:9247", + "pull_request:9426", + "pull_request:9718" + ], + "soft_pairs": [ + "pull_request:4211|pull_request:6198", + "pull_request:4347|pull_request:5275", + "pull_request:4397|pull_request:5391", + "pull_request:4499|pull_request:5384", + "pull_request:4500|pull_request:5384", + "pull_request:4811|pull_request:6360", + "pull_request:4856|pull_request:6365", + "pull_request:5097|pull_request:6221", + "pull_request:5164|pull_request:7328", + "pull_request:5369|pull_request:5831", + "pull_request:5420|pull_request:5741", + "pull_request:5526|pull_request:6179", + "pull_request:5602|pull_request:5982", + "pull_request:5653|pull_request:7371", + "pull_request:5698|pull_request:7473", + "pull_request:5741|pull_request:7679", + "pull_request:6305|pull_request:6997", + "pull_request:6308|pull_request:6369", + "pull_request:6498|pull_request:7857", + "pull_request:6564|pull_request:8404", + "pull_request:6998|pull_request:7260", + "pull_request:7247|pull_request:9247", + "pull_request:7353|pull_request:9426", + "pull_request:7857|pull_request:9242", + "pull_request:7857|pull_request:9718", + "pull_request:8298|pull_request:8452" + ], + "prepared_review_unit_hash": "c7e8ffd1e72e9c6b8d6eb6da8b79265e7e6bb5b0850c5d3e32ad2cd6894cb5a8", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 100205, + "estimated_input_tokens": 25052, + "estimated_eval_tokens": 50360 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a bundle of unrelated PRs that only share fuzzy topical similarity. The soft-linked items span docs, tests, schedulers, loaders, and feature additions in different code paths, so none looks like a true duplicate pair.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR in this set is a safe canonical: the soft-linked items do not share one underlying bug or change.", + "best_issue_reason": null, + "best_pr_reason": "No globally best PR: the set is too heterogeneous to represent with one canonical change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4211", + "right": "pull_request:6198", + "accept": false, + "reason": "4211 only fixes SDXL inpainting docstrings; 6198 adds a benchmark reporting method in benchmarks/base_classes.py. Different purpose and code path." + }, + { + "left": "pull_request:4347", + "right": "pull_request:5275", + "accept": false, + "reason": "4347 adds a step_index counter in schedulers/pix2pix-zero logic; 5275 adds an SDXL Flax research example. No shared bug/change." + }, + { + "left": "pull_request:4397", + "right": "pull_request:5391", + "accept": false, + "reason": "4397 is a small SDXL docstring default fix; 5391 is a broad typehints/docs cleanup across models. Same docs theme, but not the same change." + }, + { + "left": "pull_request:4499", + "right": "pull_request:5384", + "accept": false, + "reason": "4499 adds SDXL reference attention/adain support; 5384 is about basic hypernetwork loading support. Different feature areas and code paths." + }, + { + "left": "pull_request:4500", + "right": "pull_request:5384", + "accept": false, + "reason": "4500 is effectively the same SDXL reference-attn docs/feature work as 4499; 5384 is hypernetwork loading. Not the same underlying change." + }, + { + "left": "pull_request:4811", + "right": "pull_request:6360", + "accept": false, + "reason": "4811 adds StableDiffusionXLControlNetInpaintPipeline; 6360 adds padding_mask_crop to inpaint pipelines. Separate pipeline feature vs input validation enhancement." + }, + { + "left": "pull_request:4856", + "right": "pull_request:6365", + "accept": false, + "reason": "4856 only fixes a docs link in SDXL API docs; 6365 is an MPS-specific scheduler fix. No duplicate code path." + }, + { + "left": "pull_request:5097", + "right": "pull_request:6221", + "accept": false, + "reason": "5097 adds float16 test coverage for pipelines; 6221 tweaks slow-test pipeline cleanup/offload behavior. Test infra changes, but not the same issue." + }, + { + "left": "pull_request:5164", + "right": "pull_request:7328", + "accept": false, + "reason": "5164 implements the FreeU mechanism in UNet/pipeline code; 7328 only adds torch to a PyPI workflow step. Completely unrelated." + }, + { + "left": "pull_request:5369", + "right": "pull_request:5831", + "accept": false, + "reason": "Both touch docs, but 5369 fixes minor code samples in img2img/inpaint while 5831 only adjusts a toctree title. Not one underlying doc fix." + }, + { + "left": "pull_request:5420", + "right": "pull_request:5741", + "accept": false, + "reason": "5420 is a training-doc follow-up; 5741 speeds up PEFT LoRA unloading in runtime code. Different subsystem and objective." + }, + { + "left": "pull_request:5526", + "right": "pull_request:6179", + "accept": false, + "reason": "5526 fixes second-order scheduler timestep handling; 6179 enables fused attention projections in SD/SDXL pipelines. Same files overlap, but the changes address different problems." + }, + { + "left": "pull_request:5602", + "right": "pull_request:5982", + "accept": false, + "reason": "5602 is a small docs link/format cleanup; 5982 adds SDXL Turbo docs and API pages. Broad topic overlap only." + }, + { + "left": "pull_request:5653", + "right": "pull_request:7371", + "accept": false, + "reason": "5653 adds PEFT-aware maybe_raise_or_warn handling; 7371 adds DoRA LoRA support. Related area, but different functionality." + }, + { + "left": "pull_request:5698", + "right": "pull_request:7473", + "accept": false, + "reason": "5698 fixes LCM img2img behavior; 7473 fixes missing raise statements in check_inputs. Different bugs, different code paths." + }, + { + "left": "pull_request:5741", + "right": "pull_request:7679", + "accept": false, + "reason": "5741 optimizes LoRA unload logic; 7679 changes CI to avoid installing peft via uv. No shared code change." + }, + { + "left": "pull_request:6305", + "right": "pull_request:6997", + "accept": false, + "reason": "6305 adds zero-terminal-SNR support to DDPMScheduler; 6997 adds LoRA support for UNetSpatioTemporalConditionModel. Distinct features." + }, + { + "left": "pull_request:6308", + "right": "pull_request:6369", + "accept": false, + "reason": "6308 fixes LoRA PEFT dummy-component tests; 6369 removes deprecated LoRA test/backend usage. Both LoRA-related, but not the same fix." + }, + { + "left": "pull_request:6498", + "right": "pull_request:7857", + "accept": false, + "reason": "6498 documents mask_blur/padding_mask_crop; 7857 adds PixArtSigma docs and model support. Same docs area only at a very broad level." + }, + { + "left": "pull_request:6564", + "right": "pull_request:8404", + "accept": false, + "reason": "6564 fixes IP-Adapter path generation; 8404 adds the Latte video model and pipeline. Entirely different scope." + }, + { + "left": "pull_request:6998", + "right": "pull_request:7260", + "accept": false, + "reason": "6998 only changes an IP-Adapter doc callout; 7260 adds IP-Adapter support to the SAG pipeline. Docs vs runtime feature." + }, + { + "left": "pull_request:7247", + "right": "pull_request:9247", + "accept": false, + "reason": "7247 changes single-file config tuple/list handling; 9247 fixes model-variant folder detection. Both loader-related, but different bugs." + }, + { + "left": "pull_request:7353", + "right": "pull_request:9426", + "accept": false, + "reason": "7353 adds FromSingleFileMixin to SDXL ControlNet img2img; 9426 updates GitHub artifact uploader versions in workflows. Unrelated." + }, + { + "left": "pull_request:7857", + "right": "pull_request:9242", + "accept": false, + "reason": "7857 adds PixArtSigma docs/model support; 9242 adds XPU support to testing utilities. Different areas and goals." + }, + { + "left": "pull_request:7857", + "right": "pull_request:9718", + "accept": false, + "reason": "7857 is PixArtSigma documentation/model work; 9718 adds prompt scheduling callback support to community scripts. Not the same change." + }, + { + "left": "pull_request:8298", + "right": "pull_request:8452", + "accept": false, + "reason": "8298 simplifies env CLI platform info; 8452 fixes single-file loading errors via strict=False. No shared underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 196, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10148", + "pull_request:10351", + "pull_request:10360", + "pull_request:10567", + "pull_request:10622", + "pull_request:10630", + "pull_request:10985", + "pull_request:11130", + "pull_request:11290", + "pull_request:11582", + "pull_request:11738", + "pull_request:11979", + "pull_request:11997", + "pull_request:12275", + "pull_request:12383", + "pull_request:13063", + "pull_request:13216", + "pull_request:1327", + "pull_request:1513", + "pull_request:3252", + "pull_request:399", + "pull_request:4744", + "pull_request:5057", + "pull_request:5073", + "pull_request:5470", + "pull_request:6447", + "pull_request:6789", + "pull_request:6816", + "pull_request:6929", + "pull_request:7058", + "pull_request:7213", + "pull_request:7990", + "pull_request:8496", + "pull_request:8616", + "pull_request:8685", + "pull_request:8777", + "pull_request:8964", + "pull_request:9060", + "pull_request:9159", + "pull_request:9242", + "pull_request:9256", + "pull_request:9649", + "pull_request:9696", + "pull_request:9709", + "pull_request:9718", + "pull_request:9862", + "pull_request:9968", + "pull_request:9988" + ], + "soft_pairs": [ + "pull_request:8496|pull_request:8964", + "pull_request:9060|pull_request:9256", + "pull_request:9242|pull_request:9649", + "pull_request:9649|pull_request:9718", + "pull_request:9696|pull_request:9968", + "pull_request:5057|pull_request:5073", + "pull_request:10567|pull_request:11130", + "pull_request:11738|pull_request:11979", + "pull_request:5470|pull_request:6789", + "pull_request:6447|pull_request:8616", + "pull_request:6816|pull_request:7058", + "pull_request:12275|pull_request:12383", + "pull_request:10351|pull_request:10630", + "pull_request:11290|pull_request:9709", + "pull_request:1327|pull_request:399", + "pull_request:1513|pull_request:3252", + "pull_request:4744|pull_request:6929", + "pull_request:6929|pull_request:8685", + "pull_request:7213|pull_request:7990", + "pull_request:11582|pull_request:11997", + "pull_request:9159|pull_request:9988", + "pull_request:13063|pull_request:13216", + "pull_request:10985|pull_request:9862", + "pull_request:10148|pull_request:8777", + "pull_request:10360|pull_request:10622" + ], + "prepared_review_unit_hash": "0d9d290ebf2ae127b19fda6ec8468c0d4772611fa8a0cf47cffabdcb5ade77c2", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 102955, + "estimated_input_tokens": 25739, + "estimated_eval_tokens": 51734 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated Diffusers PRs spanning different pipelines, docs, CI, tests, and utilities. I do not see any true duplicate PR pairs; the soft matches are mostly superficial topic overlap or shared subsystems, not the same concrete bug/change.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "No PR is a clear duplicate anchor because the cluster does not center on one underlying change; the items are heterogeneous and the soft edges are not strong enough to merge them.", + "best_issue_reason": null, + "best_pr_reason": "PR 11130 is the strongest representative only because it is a substantial, well-scoped merged change with broad impact and review activity. It is not a duplicate canonical in the strict sense, just the best single representative among unrelated PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8496", + "right": "pull_request:8964", + "accept": false, + "reason": "Different fixes in different code paths: SD3 warning-log behavior vs AudioLDM2 cache-position handling." + }, + { + "left": "pull_request:9060", + "right": "pull_request:9256", + "accept": false, + "reason": "Unrelated changes: removing a debug print in Flux vs fixing an image type check in Kandinsky2.2." + }, + { + "left": "pull_request:9242", + "right": "pull_request:9649", + "accept": false, + "reason": "Different concerns: xpu test backend support vs adding pred_original_sample to scheduler tuple returns." + }, + { + "left": "pull_request:9649", + "right": "pull_request:9718", + "accept": false, + "reason": "One is scheduler return behavior; the other is a docs update for a community-script callback. Not the same change." + }, + { + "left": "pull_request:9696", + "right": "pull_request:9968", + "accept": false, + "reason": "CI workflow input validation vs ControlNet module refactor; no shared underlying bug." + }, + { + "left": "pull_request:5057", + "right": "pull_request:5073", + "accept": false, + "reason": "Both touch SDXL, but one adds clip skip support and the other fixes multi-batch prompt embeds. Different concrete problems." + }, + { + "left": "pull_request:10567", + "right": "pull_request:11130", + "accept": false, + "reason": "HunyuanVideo true-CFG feature work vs pipeline-level quantization config. Different subsystems and goals." + }, + { + "left": "pull_request:11738", + "right": "pull_request:11979", + "accept": false, + "reason": "Test determinism for bnb quantization vs torch-version gating for compile tests. Not the same bug or change." + }, + { + "left": "pull_request:5470", + "right": "pull_request:6789", + "accept": false, + "reason": "ControlNet inpaint doc/fix work and PixArt 256px inference conversion are unrelated." + }, + { + "left": "pull_request:6447", + "right": "pull_request:8616", + "accept": false, + "reason": "K-Diffusion pipeline addition vs LoRA fusion support in SD3. Different features and code paths." + }, + { + "left": "pull_request:6816", + "right": "pull_request:7058", + "accept": false, + "reason": "SDXL LoRA training/DDP fix vs copying LoRA state dicts before mutation. Related area, but not the same concrete bug." + }, + { + "left": "pull_request:12275", + "right": "pull_request:12383", + "accept": false, + "reason": "TorchAO config support vs modular single-file support. Different feature work." + }, + { + "left": "pull_request:10351", + "right": "pull_request:10630", + "accept": false, + "reason": "LoRA test adjustment vs flax test slice update. Both are test-only changes, but not duplicates." + }, + { + "left": "pull_request:11290", + "right": "pull_request:9709", + "accept": false, + "reason": "One unpins torch in an ONNX Dockerfile, the other caps torch for CI. Opposite policy in different contexts." + }, + { + "left": "pull_request:1327", + "right": "pull_request:399", + "accept": false, + "reason": "Custom local pipeline loading vs ONNX Stable Diffusion exporter/pipeline. No shared underlying change." + }, + { + "left": "pull_request:1513", + "right": "pull_request:3252", + "accept": false, + "reason": "Accelerate config docs vs stateful offload notes. Different documentation topics." + }, + { + "left": "pull_request:4744", + "right": "pull_request:6929", + "accept": false, + "reason": "AudioLDM docstring fix vs community pipeline docs. Both docs, but not the same issue." + }, + { + "left": "pull_request:6929", + "right": "pull_request:8685", + "accept": false, + "reason": "Community pipeline loading docs vs SD3 float8 note. Different documentation updates." + }, + { + "left": "pull_request:7213", + "right": "pull_request:7990", + "accept": false, + "reason": "Merge-LoRAs docs vs scheduler-features docs. Same broad docs area, but unrelated content." + }, + { + "left": "pull_request:11582", + "right": "pull_request:11997", + "accept": false, + "reason": "Both are Wan-related, but one adds Wan VACE support and the other refactors Wan modular I2V/FLF2V support. Not mergeable as one duplicate PR." + }, + { + "left": "pull_request:9159", + "right": "pull_request:9988", + "accept": false, + "reason": "Flux sharding support vs Flux Redux conversion/pipeline work. Different code paths and goals." + }, + { + "left": "pull_request:13063", + "right": "pull_request:13216", + "accept": false, + "reason": "Different modular pipeline families: Wan refactor vs Helios addition." + }, + { + "left": "pull_request:10985", + "right": "pull_request:9862", + "accept": false, + "reason": "ComfyUI LoRA compatibility improvements vs saving LoRA adapters. Same area, but distinct functionality and bug scope." + }, + { + "left": "pull_request:10148", + "right": "pull_request:8777", + "accept": false, + "reason": "OmniGen feature addition vs dummy attention processor placeholders. Unrelated changes." + }, + { + "left": "pull_request:10360", + "right": "pull_request:10622", + "accept": false, + "reason": "Release TestPyPI install fix vs general uv installation docs. Different workflows and fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 197, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1038", + "pull_request:10838", + "pull_request:11254", + "pull_request:11894", + "pull_request:12005", + "pull_request:12425", + "pull_request:12438", + "pull_request:12586", + "pull_request:12714", + "pull_request:12863", + "pull_request:12911", + "pull_request:12914", + "pull_request:12960", + "pull_request:12973", + "pull_request:130", + "pull_request:1309", + "pull_request:13100", + "pull_request:13120", + "pull_request:13364", + "pull_request:1525", + "pull_request:1554", + "pull_request:1878", + "pull_request:1920", + "pull_request:2001", + "pull_request:2274", + "pull_request:2325", + "pull_request:2481", + "pull_request:2584", + "pull_request:2793", + "pull_request:2861", + "pull_request:3127", + "pull_request:3275", + "pull_request:3410", + "pull_request:3506", + "pull_request:3607", + "pull_request:3681", + "pull_request:3691", + "pull_request:4034", + "pull_request:4262", + "pull_request:4276", + "pull_request:4315", + "pull_request:4498", + "pull_request:4655", + "pull_request:5695", + "pull_request:5747", + "pull_request:630", + "pull_request:9838", + "pull_request:9875" + ], + "soft_pairs": [ + "pull_request:1038|pull_request:630", + "pull_request:10838|pull_request:9875", + "pull_request:11254|pull_request:9838", + "pull_request:11894|pull_request:12911", + "pull_request:12005|pull_request:12438", + "pull_request:12425|pull_request:12960", + "pull_request:12586|pull_request:13100", + "pull_request:12714|pull_request:13364", + "pull_request:12863|pull_request:12914", + "pull_request:12973|pull_request:13120", + "pull_request:130|pull_request:1309", + "pull_request:1525|pull_request:3410", + "pull_request:1554|pull_request:2793", + "pull_request:1878|pull_request:3506", + "pull_request:1920|pull_request:3275", + "pull_request:2001|pull_request:2274", + "pull_request:2001|pull_request:2481", + "pull_request:2001|pull_request:3410", + "pull_request:2325|pull_request:4498", + "pull_request:2584|pull_request:3127", + "pull_request:2584|pull_request:4276", + "pull_request:2861|pull_request:3681", + "pull_request:3607|pull_request:5695", + "pull_request:3691|pull_request:4655", + "pull_request:4034|pull_request:5747", + "pull_request:4262|pull_request:4315" + ], + "prepared_review_unit_hash": "531abdb7dfa7c3eeef820305ae57c4f06080ca5e05fb3e2b06482be1dde23e90", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 96708, + "estimated_input_tokens": 24177, + "estimated_eval_tokens": 48610 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is a set of unrelated PRs that only share superficial similarity (same subsystem, docs/tests, or model-support work). None of the soft edges look like the same underlying change or bug fix, so they should all stay separate.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:1038", + "right": "pull_request:630", + "accept": false, + "reason": "Flax SD dtype fix vs Flax mismatched-keys cleanup; different code paths and different problems." + }, + { + "left": "pull_request:10838", + "right": "pull_request:9875", + "accept": false, + "reason": "FlashVideo pipeline addition vs Meissonic support; both add model features, but they are distinct projects and changes." + }, + { + "left": "pull_request:11254", + "right": "pull_request:9838", + "accept": false, + "reason": "ConsisID import/dependency fix is unrelated to Flux training memory/loss handling." + }, + { + "left": "pull_request:11894", + "right": "pull_request:12911", + "accept": false, + "reason": "k-diffusion version pinning for CI is unrelated to adding discrete diffusion pipelines and docs." + }, + { + "left": "pull_request:12005", + "right": "pull_request:12438", + "accept": false, + "reason": "Both touch loading utilities, but one fixes sharded checkpoint local-only behavior and the other removes offload_state_dict for newer transformers; different bugs." + }, + { + "left": "pull_request:12425", + "right": "pull_request:12960", + "accept": false, + "reason": "torch.distributed import guard vs FSDP detection in training scripts; not the same code path." + }, + { + "left": "pull_request:12586", + "right": "pull_request:13100", + "accept": false, + "reason": "Doc ordering tweak vs modular pipeline documentation update; unrelated content." + }, + { + "left": "pull_request:12714", + "right": "pull_request:13364", + "accept": false, + "reason": "Flux2 LoRA test adjustment vs Wan animate blur-kernel dtype fix; different components and failure modes." + }, + { + "left": "pull_request:12863", + "right": "pull_request:12914", + "accept": false, + "reason": "Cosmos conversion support PR vs a typo fix in a pipeline example string; the latter does not fix the conversion change itself." + }, + { + "left": "pull_request:12973", + "right": "pull_request:13120", + "accept": false, + "reason": "GLM-Image model support vs modular AutoModel load-id tests; unrelated areas and purposes." + }, + { + "left": "pull_request:130", + "right": "pull_request:1309", + "accept": false, + "reason": "Examples README setup note vs broad PIL handling/docs fixes; no shared underlying bug." + }, + { + "left": "pull_request:1525", + "right": "pull_request:3410", + "accept": false, + "reason": "Upscaling batch-size fix vs deepspeed plugin retrieval bug; different training issues." + }, + { + "left": "pull_request:1554", + "right": "pull_request:2793", + "accept": false, + "reason": "Docs correction for UNet shapes vs removing cuDNN benchmark advice; unrelated docs changes." + }, + { + "left": "pull_request:1878", + "right": "pull_request:3506", + "accept": false, + "reason": "Checkpoint state_dict guard vs checkpoint resume global-step scaling; different checkpoint bugs." + }, + { + "left": "pull_request:1920", + "right": "pull_request:3275", + "accept": false, + "reason": "TRANSLATING docs addition vs adding upsample_size to blocks; completely unrelated." + }, + { + "left": "pull_request:2001", + "right": "pull_request:2274", + "accept": false, + "reason": "ColossalAI seed/launch typo fix vs transform-function naming clash in image generation scripts; not the same bug." + }, + { + "left": "pull_request:2001", + "right": "pull_request:2481", + "accept": false, + "reason": "ColossalAI example fix vs unconditional training test/logger behavior; different example and failure." + }, + { + "left": "pull_request:2001", + "right": "pull_request:3410", + "accept": false, + "reason": "ColossalAI launch typo fix vs accelerate state deepspeed_plugin retrieval; unrelated training scripts." + }, + { + "left": "pull_request:2325", + "right": "pull_request:4498", + "accept": false, + "reason": "ONNX VAE converter support vs SDXL reference community example; different tools and goals." + }, + { + "left": "pull_request:2584", + "right": "pull_request:3127", + "accept": false, + "reason": "Community ControlNet img2img pipeline addition vs img2img safety checker tensor handling; separate features/bugs." + }, + { + "left": "pull_request:2584", + "right": "pull_request:4276", + "accept": false, + "reason": "Pipeline feature addition vs a dependency/import test; no shared concrete change." + }, + { + "left": "pull_request:2861", + "right": "pull_request:3681", + "accept": false, + "reason": "StableUnCLIP image_embeds-none test vs checkpoint-limit handling in training scripts; unrelated." + }, + { + "left": "pull_request:3607", + "right": "pull_request:5695", + "accept": false, + "reason": "LoRA/attention graph fix vs PixArt mask-feature condition fix; different model paths and symptoms." + }, + { + "left": "pull_request:3691", + "right": "pull_request:4655", + "accept": false, + "reason": "LoRAAttnProcessor selection for PyTorch 2.0 vs dataset data_dir argument plumbing; unrelated changes." + }, + { + "left": "pull_request:4034", + "right": "pull_request:5747", + "accept": false, + "reason": "LoRA unload utility vs dataset data_dir parameter in training scripts; different concerns." + }, + { + "left": "pull_request:4262", + "right": "pull_request:4315", + "accept": false, + "reason": "SDXL DreamBooth LoRA fixes vs torch.compile graph-break fix in LoRA conv forward; not the same issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 198, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11261", + "pull_request:11268", + "pull_request:11582", + "pull_request:11894", + "pull_request:11979", + "pull_request:12215", + "pull_request:12220", + "pull_request:12324", + "pull_request:12830", + "pull_request:1369", + "pull_request:3846", + "pull_request:4343", + "pull_request:4395", + "pull_request:4629", + "pull_request:4655", + "pull_request:4714", + "pull_request:4947", + "pull_request:5024", + "pull_request:5508", + "pull_request:5668", + "pull_request:5788", + "pull_request:5833", + "pull_request:5834", + "pull_request:6213", + "pull_request:6254", + "pull_request:6346", + "pull_request:6511", + "pull_request:6759", + "pull_request:6764", + "pull_request:7062", + "pull_request:7096", + "pull_request:7103", + "pull_request:7134", + "pull_request:7200", + "pull_request:7295", + "pull_request:7627", + "pull_request:7650", + "pull_request:7797", + "pull_request:7803", + "pull_request:819", + "pull_request:8378", + "pull_request:8422", + "pull_request:8702", + "pull_request:8981", + "pull_request:9569", + "pull_request:9662", + "pull_request:9875", + "pull_request:9918" + ], + "soft_pairs": [ + "pull_request:4343|pull_request:5508", + "pull_request:4395|pull_request:4629", + "pull_request:4655|pull_request:6511", + "pull_request:4947|pull_request:5024", + "pull_request:5788|pull_request:6254", + "pull_request:6213|pull_request:6346", + "pull_request:6759|pull_request:7096", + "pull_request:6764|pull_request:8981", + "pull_request:7062|pull_request:8378", + "pull_request:7103|pull_request:8378", + "pull_request:7134|pull_request:7295", + "pull_request:7200|pull_request:7650", + "pull_request:7627|pull_request:9569", + "pull_request:7797|pull_request:9662", + "pull_request:7803|pull_request:9662", + "pull_request:8422|pull_request:9918", + "pull_request:8702|pull_request:8981", + "pull_request:12215|pull_request:12220", + "pull_request:11582|pull_request:12324", + "pull_request:11261|pull_request:9875", + "pull_request:11268|pull_request:11894", + "pull_request:11979|pull_request:12830", + "pull_request:1369|pull_request:819", + "pull_request:3846|pull_request:5833", + "pull_request:3846|pull_request:5834", + "pull_request:4714|pull_request:5668" + ], + "prepared_review_unit_hash": "416940ba83e124cee87f341a41c862cce9ff53b596ae61c3b2f2c712153b5070", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 98032, + "estimated_input_tokens": 24508, + "estimated_eval_tokens": 49272 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: most pairs are clearly unrelated PRs that just share a subsystem or file pattern. I found no true duplicate issue/PR pair; the strongest representative PR is the broad Qwen modular work (#12220), but it is not a duplicate of the other Qwen/Wan items.", + "confidence": 0.31, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single underlying change dominates the cluster; if one PR must stand in as the representative artifact, #12220 is the most substantial and central merged PR in the set.", + "best_issue_reason": null, + "best_pr_reason": "#12220 has the broadest scope and highest review signal, so it is the best standalone representative of this mixed PR cluster, though it should not be treated as a duplicate target.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4343", + "right": "pull_request:5508", + "accept": false, + "reason": "Both touch DreamBooth LoRA SDXL, but one adds a rank argument while the other adds several training features; different changes, not the same bug/fix." + }, + { + "left": "pull_request:4395", + "right": "pull_request:4629", + "accept": false, + "reason": "4395 fixes pre-encoding class prompts in DreamBooth; 4629 is an unrelated SDXL long weighted prompt/push-to-hub cleanup effort." + }, + { + "left": "pull_request:4655", + "right": "pull_request:6511", + "accept": false, + "reason": "One passes data_dir to load_dataset; the other makes checkpointing compatible with torch.compile. 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not the same concrete fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 199, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10008", + "pull_request:10020", + "pull_request:10119", + "pull_request:1012", + "pull_request:10230", + "pull_request:10494", + "pull_request:10497", + "pull_request:10633", + "pull_request:10730", + "pull_request:10894", + "pull_request:10898", + "pull_request:11004", + "pull_request:11095", + "pull_request:11243", + "pull_request:11261", + "pull_request:1129", + "pull_request:11556", + "pull_request:11979", + "pull_request:11994", + "pull_request:11999", + "pull_request:12117", + "pull_request:12119", + "pull_request:12288", + "pull_request:12301", + "pull_request:12416", + "pull_request:12439", + "pull_request:12445", + "pull_request:12611", + "pull_request:13216", + "pull_request:1496", + "pull_request:1920", + "pull_request:1942", + "pull_request:1966", + "pull_request:2040", + "pull_request:2347", + "pull_request:2467", + "pull_request:2516", + "pull_request:3850", + "pull_request:4098", + "pull_request:6003", + "pull_request:6841", + "pull_request:7158", + "pull_request:750", + "pull_request:8229", + "pull_request:8981", + "pull_request:9175", + "pull_request:9257", + "pull_request:9709" + ], + "soft_pairs": [ + "pull_request:6841|pull_request:8981", + "pull_request:7158|pull_request:8229", + "pull_request:4098|pull_request:6003", + "pull_request:1966|pull_request:2040", + "pull_request:12301|pull_request:12445", + "pull_request:12117|pull_request:12416", + "pull_request:10020|pull_request:9175", + "pull_request:12119|pull_request:12439", + "pull_request:12611|pull_request:13216", + "pull_request:10008|pull_request:11095", + "pull_request:10119|pull_request:11556", + "pull_request:1012|pull_request:1129", + "pull_request:10230|pull_request:11004", + "pull_request:10494|pull_request:10497", + "pull_request:10633|pull_request:10898", + "pull_request:10730|pull_request:9257", + "pull_request:10894|pull_request:9709", + "pull_request:11243|pull_request:11999", + "pull_request:11261|pull_request:12288", + "pull_request:11979|pull_request:11994", + "pull_request:1496|pull_request:2516", + "pull_request:1920|pull_request:750", + "pull_request:1942|pull_request:3850", + "pull_request:2347|pull_request:2467" + ], + "prepared_review_unit_hash": "ba86b03b4d550b24a09574bf8dfb868e6e97caf6eabed86b3ef636261cbe1715", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 103827, + "estimated_input_tokens": 25957, + "estimated_eval_tokens": 52170 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated docs, CI, scheduler, LoRA, and pipeline PRs across many different code paths. There is no single canonical artifact that cleanly represents the cluster.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the items are heterogeneous and do not share one underlying bug or change.", + "best_issue_reason": null, + "best_pr_reason": "No best PR: none of the PRs is representative of the whole cluster, and selecting one would be arbitrary.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6841", + "right": "pull_request:8981", + "accept": false, + "reason": "Different changes: one restores BasicTransformerBlock params; the other is LoRA docs cleanup. Same broad area, not same bug." + }, + { + "left": "pull_request:7158", + "right": "pull_request:8229", + "accept": false, + "reason": "Unrelated fixes: benchmark cleanup vs Stable Video Diffusion resize behavior." + }, + { + "left": "pull_request:4098", + "right": "pull_request:6003", + "accept": false, + "reason": "Both are inpainting-related, but for different pipelines and different code paths; not the same concrete change." + }, + { + "left": "pull_request:1966", + "right": "pull_request:2040", + "accept": false, + "reason": "Different pipeline additions: Flax inpainting vs InstructPix2Pix. Not the same underlying change." + }, + { + "left": "pull_request:12301", + "right": "pull_request:12445", + "accept": false, + "reason": "Qwen ControlNet inpaint support and Flux modular alignment are separate features." + }, + { + "left": "pull_request:12117", + "right": "pull_request:12416", + "accept": false, + "reason": "QwenImage pipelines vs QwenImage Edit Plus modular support are distinct changes." + }, + { + "left": "pull_request:10020", + "right": "pull_request:9175", + "accept": false, + "reason": "Different features: SD3.5 ControlNet conversion tooling vs Flux ControlNet support." + }, + { + "left": "pull_request:12119", + "right": "pull_request:12439", + "accept": false, + "reason": "LoRA loading support and attention backend support are unrelated code paths." + }, + { + "left": "pull_request:12611", + "right": "pull_request:13216", + "accept": false, + "reason": "Separate modular pipeline families (Wan vs Helios), not duplicates." + }, + { + "left": "pull_request:10008", + "right": "pull_request:11095", + "accept": false, + "reason": "Docs table fix for CogVideoX vs Flux ControlNet example fix are unrelated." + }, + { + "left": "pull_request:10119", + "right": "pull_request:11556", + "accept": false, + "reason": "Docs for load_lora_adapter vs regional compilation docs; no shared bug/change." + }, + { + "left": "pull_request:1012", + "right": "pull_request:1129", + "accept": false, + "reason": "Both touch DreamBooth, but one is PyTorch text-encoder train mode and the other is Flax sample batch sizing." + }, + { + "left": "pull_request:10230", + "right": "pull_request:11004", + "accept": false, + "reason": "Docs update for LoRA mixins and PEFT key-prefix handling are different issues." + }, + { + "left": "pull_request:10494", + "right": "pull_request:10497", + "accept": false, + "reason": "Both address tokenizers install in CI, but they propose different fixes to the same line; related, but not the same concrete change." + }, + { + "left": "pull_request:10633", + "right": "pull_request:10898", + "accept": false, + "reason": "Flux IP-Adapter docs and remote_decode infrastructure are unrelated." + }, + { + "left": "pull_request:10730", + "right": "pull_request:9257", + "accept": false, + "reason": "Hook-unwrapping fix and DreamBooth Flux script bug fix are separate problems." + }, + { + "left": "pull_request:10894", + "right": "pull_request:9709", + "accept": false, + "reason": "Toctree sorting/docs ordering is unrelated to the torch version pin." + }, + { + "left": "pull_request:11243", + "right": "pull_request:11999", + "accept": false, + "reason": "Musubi Wan LoRA conversion support and PEFT LoRA injection changes are different LoRA issues." + }, + { + "left": "pull_request:11261", + "right": "pull_request:12288", + "accept": false, + "reason": "VidTok autoencoder addition and InfiniteTalk pipeline addition are unrelated model/pipeline features." + }, + { + "left": "pull_request:1496", + "right": "pull_request:2516", + "accept": false, + "reason": "Habana Gaudi docs and evaluation docs are unrelated documentation additions." + }, + { + "left": "pull_request:1920", + "right": "pull_request:750", + "accept": false, + "reason": "Translating docs and LMS scheduler back-compat are completely unrelated." + }, + { + "left": "pull_request:1942", + "right": "pull_request:3850", + "accept": false, + "reason": "Script flag rename and audio_diffusion test fixes do not share an underlying bug." + }, + { + "left": "pull_request:2347", + "right": "pull_request:2467", + "accept": false, + "reason": "Scheduler schedule updates and latent output-type plumbing are unrelated changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 200, + "review_unit_count": 272, + "status": "reviewed", 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+ "pull_request:6163", + "pull_request:6174", + "pull_request:6213", + "pull_request:6346", + "pull_request:6908", + "pull_request:6909", + "pull_request:7134", + "pull_request:7359", + "pull_request:7780", + "pull_request:934" + ], + "soft_pairs": [ + "pull_request:237|pull_request:934", + "pull_request:2487|pull_request:492", + "pull_request:3260|pull_request:4887", + "pull_request:3370|pull_request:5196", + "pull_request:3552|pull_request:5180", + "pull_request:3561|pull_request:3877", + "pull_request:3711|pull_request:5614", + "pull_request:3806|pull_request:5456", + "pull_request:4242|pull_request:5880", + "pull_request:4276|pull_request:4508", + "pull_request:4276|pull_request:5456", + "pull_request:4285|pull_request:4422", + "pull_request:4365|pull_request:6346", + "pull_request:4635|pull_request:5602", + "pull_request:5097|pull_request:6163", + "pull_request:5204|pull_request:5754", + "pull_request:5391|pull_request:7134", + "pull_request:5420|pull_request:6213", + "pull_request:5421|pull_request:5626", + "pull_request:5724|pull_request:6174", + "pull_request:5974|pull_request:6908", + "pull_request:5974|pull_request:6909", + "pull_request:5988|pull_request:6140", + "pull_request:6081|pull_request:6213", + "pull_request:6105|pull_request:7359", + "pull_request:6140|pull_request:7780" + ], + "prepared_review_unit_hash": "a989fb38b8c981937581eb7aaab3acffa991d08e4c83331d7ae2e39a5aeb1ab8", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 101304, + "estimated_input_tokens": 25326, + "estimated_eval_tokens": 50908 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set: it contains many unrelated pull requests spanning docs, tests, example scripts, and feature work, with only superficial thematic similarity in a few pairs.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a good canonical representative; the items are heterogeneous and do not share one concrete bug or change.", + "best_issue_reason": null, + "best_pr_reason": "No PR here is a strong global representative because the cluster is broad and the soft-linked pairs still address different code paths or documentation updates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:237", + "right": "pull_request:934", + "accept": false, + "reason": "One adds CI/fixes a test; the other fixes MPS test expectations. Different maintenance changes, not the same change or bug." + }, + { + "left": "pull_request:2487", + "right": "pull_request:492", + "accept": false, + "reason": "Docs for JAX/Flax stable diffusion vs initial Flax PNDM scheduler support; different features and code paths." + }, + { + "left": "pull_request:3260", + "right": "pull_request:4887", + "accept": false, + "reason": "Removing a required CLI arg for ControlNet training is unrelated to removing latents from Kandinsky prior_emb2emb." + }, + { + "left": "pull_request:3370", + "right": "pull_request:5196", + "accept": false, + "reason": "Both touch docs about optimization, but one updates PyTorch 2.0 docs and the other edits xformers/memory docs; not the same change." + }, + { + "left": "pull_request:3552", + "right": "pull_request:5180", + "accept": false, + "reason": "General docs maintenance versus a small Wuerstchen citation fix; unrelated documentation edits." + }, + { + "left": "pull_request:3561", + "right": "pull_request:3877", + "accept": false, + "reason": "DreamBooth IF stage II upscaling changes are unrelated to the SDXL DreamBooth LoRA WIP implementation." + }, + { + "left": "pull_request:3711", + "right": "pull_request:5614", + "accept": false, + "reason": "Reverting a docs-build secrets workflow change is unrelated to reverting SDXL training width/height ordering." + }, + { + "left": "pull_request:3806", + "right": "pull_request:5456", + "accept": false, + "reason": "A README note about checkpoint loading is unrelated to adding the RealFill training/inference project." + }, + { + "left": "pull_request:4242", + "right": "pull_request:5880", + "accept": false, + "reason": "Allowing VAE loading from single-file checkpoints is a loader change; the VAE PR fixes config support across latent-diffusion models, not the same bug." + }, + { + "left": "pull_request:4276", + "right": "pull_request:4508", + "accept": false, + "reason": "A pipeline import test and a fix for use_onnx in from_pretrained are different concerns." + }, + { + "left": "pull_request:4276", + "right": "pull_request:5456", + "accept": false, + "reason": "Pipeline import coverage is unrelated to the RealFill training project." + }, + { + "left": "pull_request:4285", + "right": "pull_request:4422", + "accept": false, + "reason": "Both edit ONNX/OpenVINO docs, but they are separate documentation updates for different content and examples." + }, + { + "left": "pull_request:4365", + "right": "pull_request:6346", + "accept": false, + "reason": "Both touch SDXL LoRA-related files, but one adds the example/docs and the other fixes state-dict conversion; not the same concrete change." + }, + { + "left": "pull_request:4635", + "right": "pull_request:5602", + "accept": false, + "reason": "MultiControlNet docs vs table-format cleanup in stable diffusion overview; unrelated documentation work." + }, + { + "left": "pull_request:5097", + "right": "pull_request:6163", + "accept": false, + "reason": "Both are test fixes for float16/LoRA-related paths, but they target different test cases and failure modes." + }, + { + "left": "pull_request:5204", + "right": "pull_request:5754", + "accept": false, + "reason": "LoRA text-encoder scaling fix versus minor styling cleanup in training scripts; not the same issue." + }, + { + "left": "pull_request:5391", + "right": "pull_request:7134", + "accept": false, + "reason": "General typehint/docs cleanup in model classes versus UNet type-hint adjustments; separate documentation/style changes." + }, + { + "left": "pull_request:5420", + "right": "pull_request:6213", + "accept": false, + "reason": "A docs example fix for create_repo/repo_id is unrelated to a text-to-video pipeline cleanup." + }, + { + "left": "pull_request:5421", + "right": "pull_request:5626", + "accept": false, + "reason": "Import/deprecation fix in versatile diffusion is unrelated to the CPU offload test correction." + }, + { + "left": "pull_request:5724", + "right": "pull_request:6174", + "accept": false, + "reason": "LoRA test decorator changes are unrelated to adding a missing backslash in a docs command." + }, + { + "left": "pull_request:5974", + "right": "pull_request:6908", + "accept": false, + "reason": "PixArtAlpha pipeline adaptation is unrelated to SDXL ControlNet model-card standardization." + }, + { + "left": "pull_request:5974", + "right": "pull_request:6909", + "accept": false, + "reason": "PixArtAlpha pipeline adaptation is unrelated to ControlNet Flax model-card standardization." + }, + { + "left": "pull_request:5988", + "right": "pull_request:6140", + "accept": false, + "reason": "Kandinsky 3 docs/pipeline work is unrelated to the IP-Adapter API doc addition." + }, + { + "left": "pull_request:6081", + "right": "pull_request:6213", + "accept": false, + "reason": "Adjusting SDXL scheduler sigmas for torch.compile is unrelated to text-to-video pipeline cleanup." + }, + { + "left": "pull_request:6105", + "right": "pull_request:7359", + "accept": false, + "reason": "SDE Drag community pipeline addition is unrelated to the ResAdapter training script." + }, + { + "left": "pull_request:6140", + "right": "pull_request:7780", + "accept": false, + "reason": "IP-Adapter API doc introduction versus an IP-Adapter masking wording fix; same area but not the same concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 201, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10578", + "pull_request:11004", + "pull_request:11595", + "pull_request:11802", + "pull_request:11894", + "pull_request:12226", + "pull_request:12618", + "pull_request:13294", + "pull_request:13352", + "pull_request:1945", + "pull_request:2002", + "pull_request:2347", + "pull_request:2617", + "pull_request:2994", + "pull_request:3900", + "pull_request:3924", + "pull_request:4215", + "pull_request:4508", + "pull_request:4744", + "pull_request:4859", + "pull_request:5035", + "pull_request:5057", + "pull_request:5164", + "pull_request:5579", + "pull_request:6003", + "pull_request:6209", + "pull_request:6369", + "pull_request:6757", + "pull_request:6927", + "pull_request:6998", + "pull_request:7230", + "pull_request:7662", + "pull_request:7780", + "pull_request:7913", + "pull_request:8322", + "pull_request:8531", + "pull_request:8571", + "pull_request:8755", + "pull_request:8825", + "pull_request:8937", + "pull_request:9040", + "pull_request:9041", + "pull_request:9213", + "pull_request:9234", + "pull_request:9707", + "pull_request:9807", + "pull_request:9968" + ], + "soft_pairs": [ + "pull_request:6209|pull_request:6927", + "pull_request:6757|pull_request:7913", + "pull_request:6998|pull_request:7780", + "pull_request:8322|pull_request:8571", + "pull_request:8531|pull_request:9234", + "pull_request:8825|pull_request:9807", + "pull_request:8937|pull_request:9707", + "pull_request:9040|pull_request:9041", + "pull_request:5057|pull_request:7230", + "pull_request:10578|pull_request:9213", + "pull_request:11004|pull_request:11802", + "pull_request:11595|pull_request:12226", + "pull_request:11894|pull_request:12618", + "pull_request:13294|pull_request:13352", + "pull_request:1945|pull_request:2617", + "pull_request:2002|pull_request:2347", + "pull_request:2994|pull_request:3924", + "pull_request:4215|pull_request:4744", + "pull_request:4508|pull_request:4859", + "pull_request:5035|pull_request:5579", + "pull_request:5164|pull_request:5579", + "pull_request:6369|pull_request:7662", + "pull_request:8755|pull_request:9968", + "pull_request:3900|pull_request:6003" + ], + "prepared_review_unit_hash": "bf1832a5dbb444a623fc4fb318b883753536856f88723c0c6e94dad831704ccc", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 100160, + "estimated_input_tokens": 25040, + "estimated_eval_tokens": 50336 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The proposed soft-edge pairs are not true duplicates: they mostly share a subsystem or release theme, but each PR targets a different concrete change. I rejected all soft edges and would treat PR #9213 as the best representative only because it is the broadest, most central PR in the set.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a true canonical duplicate for this set; if a representative is needed, #9213 is the strongest anchor because it is the broad quantization feature PR with the most discussion and inbound references.", + "best_issue_reason": null, + "best_pr_reason": "#9213 is the best global representative because it is the largest, most impactful, and most referenced PR in the cluster, whereas the others are smaller point fixes or unrelated docs/CI changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6209", + "right": "pull_request:6927", + "accept": false, + "reason": "Different changes: README example fix vs community prompt2prompt import refactor. Same docs area, not the same underlying bug or change." + }, + { + "left": "pull_request:6757", + "right": "pull_request:7913", + "accept": false, + "reason": "Both touch timestep/sigma handling, but one is a device-placement fix and the other adds custom timesteps/sigmas for ControlNet. Not mergeable as one duplicate change." + }, + { + "left": "pull_request:6998", + "right": "pull_request:7780", + "accept": false, + "reason": "Both edit the IP-Adapter docs, but they fix different doc sections and issues: callout markup vs masking/face-id wording." + }, + { + "left": "pull_request:8322", + "right": "pull_request:8571", + "accept": false, + "reason": "Both are typo/style errata, but they are broad, unrelated documentation cleanup PRs rather than the same concrete change." + }, + { + "left": "pull_request:8531", + "right": "pull_request:9234", + "accept": false, + "reason": "Completely different fixes: sharding/device_map behavior versus safetensors compatibility regression." + }, + { + "left": "pull_request:8825", + "right": "pull_request:9807", + "accept": false, + "reason": "Unrelated code paths: k-diffusion pipeline feature work versus AutoencoderKL LoRA adapter support." + }, + { + "left": "pull_request:8937", + "right": "pull_request:9707", + "accept": false, + "reason": "One fixes long-prompt handling in AuraFlow code; the other is a docstring refactor in a different model file." + }, + { + "left": "pull_request:9040", + "right": "pull_request:9041", + "accept": false, + "reason": "Same project area but different additions: Differential Diffusion vs an Img2Img variant for HunyuanDiT." + }, + { + "left": "pull_request:5057", + "right": "pull_request:7230", + "accept": false, + "reason": "Different features: SDXL clip-skip support versus single-file checkpoint loading support." + }, + { + "left": "pull_request:10578", + "right": "pull_request:9213", + "accept": false, + "reason": "#10578 is a specific 4-bit Flux LoRA loading fix; #9213 is a broad bitsandbytes quantization framework addition. Related topic, not the same bug/change." + }, + { + "left": "pull_request:11004", + "right": "pull_request:11802", + "accept": false, + "reason": "Both involve LoRA cleanup, but one removes a PEFT prefix import path and the other removes deprecated lora_base methods. Not the same underlying change." + }, + { + "left": "pull_request:11595", + "right": "pull_request:12226", + "accept": false, + "reason": "Different domains entirely: Flux LoRA loading fix versus a Qwen-Image ControlNet test addition." + }, + { + "left": "pull_request:11894", + "right": "pull_request:12618", + "accept": false, + "reason": "Both are CI-related, but one pins k-diffusion and the other fixes a uv install typo. Different failure modes." + }, + { + "left": "pull_request:13294", + "right": "pull_request:13352", + "accept": false, + "reason": "Unrelated CI/workflow fixes: WanVACE test flakiness versus adding a checkout step to Claude review workflow." + }, + { + "left": "pull_request:1945", + "right": "pull_request:2617", + "accept": false, + "reason": "Tests for UNet blocks versus introducing the image processor are unrelated changes." + }, + { + "left": "pull_request:2002", + "right": "pull_request:2347", + "accept": false, + "reason": "One adds a LoRA training example; the other changes scheduler noise scheduling. No shared concrete bug." + }, + { + "left": "pull_request:2994", + "right": "pull_request:3924", + "accept": false, + "reason": "ControlNet training-script casting fix versus a doc example parameter update. Same example family, different change type and problem." + }, + { + "left": "pull_request:4215", + "right": "pull_request:4744", + "accept": false, + "reason": "Different documentation updates in different pipelines; not the same underlying issue." + }, + { + "left": "pull_request:4508", + "right": "pull_request:4859", + "accept": false, + "reason": "`use_onnx` loading behavior and an SDXL inpaint fast test tweak are unrelated." + }, + { + "left": "pull_request:5035", + "right": "pull_request:5579", + "accept": false, + "reason": "One avoids forcing transformers installation; the other bumps the minimum transformers version for PEFT. Different dependency policy changes." + }, + { + "left": "pull_request:5164", + "right": "pull_request:5579", + "accept": false, + "reason": "FreeU architecture changes are unrelated to a PEFT/transformers minimum-version bump." + }, + { + "left": "pull_request:6369", + "right": "pull_request:7662", + "accept": false, + "reason": "LoRA API deprecation cleanup versus removing redundant test dependencies from Flax workflows. Different code paths." + }, + { + "left": "pull_request:8755", + "right": "pull_request:9968", + "accept": false, + "reason": "Different model areas and fixes: SD3 DreamBooth LoRA training versus ControlNet module refactor." + }, + { + "left": "pull_request:3900", + "right": "pull_request:6003", + "accept": false, + "reason": "Video-to-video pipeline addition versus Stable Video Diffusion inpaint support. Similar high-level area, but not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 202, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10322", + "pull_request:10358", + "pull_request:10370", + "pull_request:10537", + "pull_request:10854", + "pull_request:10983", + "pull_request:11025", + "pull_request:11059", + "pull_request:1128", + "pull_request:11524", + "pull_request:11535", + "pull_request:11556", + "pull_request:11582", + "pull_request:11715", + "pull_request:11894", + "pull_request:12151", + "pull_request:12541", + "pull_request:12611", + "pull_request:1283", + "pull_request:1355", + "pull_request:1496", + "pull_request:164", + "pull_request:1945", + "pull_request:1977", + "pull_request:2048", + "pull_request:2279", + "pull_request:2314", + "pull_request:2325", + "pull_request:2398", + "pull_request:2489", + "pull_request:3054", + "pull_request:3334", + "pull_request:3546", + "pull_request:4090", + "pull_request:4132", + "pull_request:4597", + "pull_request:4712", + "pull_request:5053", + "pull_request:5057", + "pull_request:5127", + "pull_request:538", + "pull_request:5388", + "pull_request:5736", + "pull_request:5754", + "pull_request:5853", + "pull_request:5991", + "pull_request:6816" + ], + "soft_pairs": [ + "pull_request:1128|pull_request:1355", + "pull_request:4597|pull_request:5127", + "pull_request:5053|pull_request:5991", + "pull_request:5388|pull_request:6816", + "pull_request:11582|pull_request:12611", + "pull_request:10983|pull_request:11025", + "pull_request:10322|pull_request:10537", + "pull_request:10358|pull_request:11556", + "pull_request:10370|pull_request:11059", + "pull_request:10854|pull_request:11894", + "pull_request:11524|pull_request:11535", + "pull_request:11556|pull_request:11715", + "pull_request:12151|pull_request:12541", + "pull_request:1283|pull_request:2325", + "pull_request:1496|pull_request:164", + "pull_request:1945|pull_request:2314", + "pull_request:1977|pull_request:538", + "pull_request:2048|pull_request:4132", + "pull_request:2279|pull_request:3054", + "pull_request:2398|pull_request:4090", + "pull_request:2489|pull_request:3334", + "pull_request:3546|pull_request:5057", + "pull_request:4712|pull_request:5853", + "pull_request:5736|pull_request:5754" + ], + "prepared_review_unit_hash": "18a36dc7a4aaa4a62b93adb56f3987184041f4a83ab74dccda739db35b436b06", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 100518, + "estimated_input_tokens": 25130, + "estimated_eval_tokens": 50516 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very noisy: the soft edges mostly link unrelated PRs that only share broad keywords or a subsystem name. None of the candidate pairs looks like the same concrete fix/change, so all soft edges should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the cluster is heterogeneous, and the candidate pairings do not describe the same underlying change.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a safe global representative; the items span unrelated docs, tests, LoRA, Wan, SDXL, and scheduler changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1128", + "right": "pull_request:1355", + "accept": false, + "reason": "Inpaint tensor-input support and a Flax img2img pipeline are unrelated features with different pipelines and codepaths." + }, + { + "left": "pull_request:4597", + "right": "pull_request:5127", + "accept": false, + "reason": "MultiControlNet SDXL support and multi-adapter SDXL adapter handling are different integration changes, not the same bug fix." + }, + { + "left": "pull_request:5053", + "right": "pull_request:5991", + "accept": false, + "reason": "`validation_image` CLI handling and LoRA prefix serialization are unrelated fixes in different areas." + }, + { + "left": "pull_request:5388", + "right": "pull_request:6816", + "accept": false, + "reason": "Both touch DreamBooth LoRA, but one adds PEFT support and the other fixes DDP embedding grad handling; different code paths and goals." + }, + { + "left": "pull_request:11582", + "right": "pull_request:12611", + "accept": false, + "reason": "Both are Wan-related, but Wan VACE and modular Wan are separate feature sets and not the same change." + }, + { + "left": "pull_request:10983", + "right": "pull_request:11025", + "accept": false, + "reason": "Hunyuan I2V model support and Wan LoRA support are unrelated model integrations." + }, + { + "left": "pull_request:10322", + "right": "pull_request:10537", + "accept": false, + "reason": "Sana 2K model conversion and Sana 4K pipeline changes are different model-size additions, not one underlying fix." + }, + { + "left": "pull_request:10358", + "right": "pull_request:11556", + "accept": false, + "reason": "A community-projects docs entry and regional compilation docs are unrelated documentation updates." + }, + { + "left": "pull_request:10370", + "right": "pull_request:11059", + "accept": false, + "reason": "TorchAO quantizer style/import cleanup and Wan LoRA conversion logic are unrelated changes." + }, + { + "left": "pull_request:10854", + "right": "pull_request:11894", + "accept": false, + "reason": "Hunyuan DiT test-module renaming and k-diffusion pinning for CI are unrelated CI/test maintenance tasks." + }, + { + "left": "pull_request:11524", + "right": "pull_request:11535", + "accept": false, + "reason": "Cosmos torchvision import gating and Framepack transformer initialization order are different model implementation fixes." + }, + { + "left": "pull_request:11556", + "right": "pull_request:11715", + "accept": false, + "reason": "Regional compilation docs and bnb test annotations do not fix the same issue." + }, + { + "left": "pull_request:12151", + "right": "pull_request:12541", + "accept": false, + "reason": "Flax deprecation and late-step Wan LoRA conversion are unrelated changes." + }, + { + "left": "pull_request:1283", + "right": "pull_request:2325", + "accept": false, + "reason": "Versatile Diffusion model support and a VAE ONNX converter are separate features." + }, + { + "left": "pull_request:1496", + "right": "pull_request:164", + "accept": false, + "reason": "Habana Gaudi docs and DDPM/PNDM scaled_linear schedule support are unrelated." + }, + { + "left": "pull_request:1945", + "right": "pull_request:2314", + "accept": false, + "reason": "UNet block tests and fast-test tolerance updates are different test additions." + }, + { + "left": "pull_request:1977", + "right": "pull_request:538", + "accept": false, + "reason": "DreamBooth ColossalAI script adjustments and hub-version pinning are unrelated 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No common bug or merged change." + }, + { + "left": "pull_request:6332", + "right": "pull_request:8404", + "accept": false, + "reason": "Both are video-related, but one is a community pipeline and the other is Latte model support. Different features and files." + }, + { + "left": "pull_request:6432", + "right": "pull_request:7638", + "accept": false, + "reason": "README learning-rate update vs CONTRIBUTING link correction. Purely unrelated documentation edits." + }, + { + "left": "pull_request:6432", + "right": "pull_request:8303", + "accept": false, + "reason": "Different docs-only fixes with no shared underlying issue." + }, + { + "left": "pull_request:6511", + "right": "pull_request:7652", + "accept": false, + "reason": "Torch.compile checkpointing for DreamBooth LoRA is unrelated to Docker Buildx workflow changes." + }, + { + "left": "pull_request:689", + "right": "pull_request:819", + "accept": false, + "reason": "Slow-test attention optimization and DDIM Windows int64 fix are unrelated scheduler/model fixes." + }, + { + "left": "pull_request:7115", + "right": "pull_request:8512", + "accept": false, + "reason": "Dockerfile cleanup and deprecated mask helper removal are unrelated." + }, + { + "left": "pull_request:7200", + "right": "pull_request:8722", + "accept": false, + "reason": "Transformer layernorm validation and embeddings refactor are not the same bug/change." + }, + { + "left": "pull_request:7458", + "right": "pull_request:7638", + "accept": false, + "reason": "Python 3.12 dynamo test skipping vs a CONTRIBUTING link update; no shared fix." + }, + { + "left": "pull_request:8566", + "right": "pull_request:9987", + "accept": false, + "reason": "Both involve SD3-related additions, but one is ControlNet support and the other is IP-Adapter integration. Different concrete features." + }, + { + "left": "pull_request:9400", + "right": "pull_request:9896", + "accept": false, + "reason": "Device-agnostic test updates and a Flux revert fixing device transfers are not the same underlying code-path problem." + }, + { + "left": "pull_request:4944", + "right": "pull_request:5653", + "accept": false, + "reason": "IP-Adapter implementation work and PEFT-related model unwrapping are different issues." + }, + { + "left": "pull_request:6884", + "right": "pull_request:7016", + "accept": false, + "reason": "Both are IP-Adapter adjacent, but one validates scale length and the other refactors image-embed preparation/encoder loading. Not the same concrete fix." + }, + { + "left": "pull_request:12933", + "right": "pull_request:12934", + "accept": false, + "reason": "LTX-2 LoRA support and LTX2 distilled checkpoint support are separate feature tracks, despite sharing some files." + }, + { + "left": "pull_request:5388", + "right": "pull_request:5823", + "accept": false, + "reason": "PEFT example adaptation and adding adapter_names to fuse_lora are different LoRA tasks, not one duplicate change." + }, + { + "left": "pull_request:6490", + "right": "pull_request:7359", + "accept": false, + "reason": "Two unrelated community research projects; no shared bug or mergeable change." + }, + { + "left": "pull_request:5713", + "right": "pull_request:7016", + "accept": false, + "reason": "Initial IP-Adapter support vs later refactor of image-embed preparation/encoder skipping. Same subsystem, but not the same concrete issue." + }, + { + "left": "pull_request:10126", + "right": "pull_request:9827", + "accept": false, + "reason": "LoRA deprecation message and LoRA device_map/offload fix are unrelated loader changes." + }, + { + "left": "pull_request:10127", + "right": "pull_request:8932", + "accept": false, + "reason": "Test xfail for incompatible SD configs vs temporal transformer test coverage. Different objectives and code paths." + }, + { + "left": "pull_request:10127", + "right": "pull_request:8973", + "accept": false, + "reason": "Same as above: xfail test workaround versus lumina test size reduction." + }, + { + "left": "pull_request:10230", + "right": "pull_request:10719", + "accept": false, + "reason": "Docs additions for LoRA loader mixins and ONNX provider_options plumbing are unrelated changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 206, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10342", + "pull_request:10506", + "pull_request:10539", + "pull_request:10719", + "pull_request:10966", + "pull_request:11124", + "pull_request:11292", + "pull_request:1136", + "pull_request:11613", + "pull_request:11823", + "pull_request:11877", + "pull_request:11892", + "pull_request:12275", + "pull_request:1229", + "pull_request:12315", + "pull_request:12530", + "pull_request:12782", + "pull_request:1309", + "pull_request:13120", + "pull_request:13330", + "pull_request:13332", + "pull_request:13364", + "pull_request:1508", + "pull_request:1564", + "pull_request:1706", + "pull_request:1910", + "pull_request:1945", + "pull_request:2002", + "pull_request:2062", + "pull_request:2122", + "pull_request:2274", + "pull_request:2325", + "pull_request:2347", + "pull_request:2467", + "pull_request:2481", + "pull_request:2641", + "pull_request:2793", + "pull_request:2795", + "pull_request:326", + "pull_request:3397", + "pull_request:3410", + "pull_request:3850", + "pull_request:4276", + "pull_request:4499", + "pull_request:4500", + "pull_request:689", + "pull_request:9244", + "pull_request:9687" + ], + "soft_pairs": [ + "pull_request:10342|pull_request:10966", + "pull_request:10506|pull_request:11124", + "pull_request:10539|pull_request:9244", + "pull_request:10719|pull_request:9687", + "pull_request:11292|pull_request:12315", + "pull_request:1136|pull_request:2002", + "pull_request:11613|pull_request:12530", + "pull_request:11823|pull_request:12275", + "pull_request:11877|pull_request:11892", + "pull_request:1229|pull_request:1309", + "pull_request:12782|pull_request:13364", + "pull_request:1309|pull_request:1945", + "pull_request:13120|pull_request:13332", + "pull_request:13330|pull_request:13332", + "pull_request:1508|pull_request:2122", + "pull_request:1508|pull_request:2793", + "pull_request:1564|pull_request:1910", + "pull_request:1706|pull_request:2795", + "pull_request:2062|pull_request:3410", + "pull_request:2274|pull_request:3850", + "pull_request:2274|pull_request:689", + "pull_request:2325|pull_request:4499", + "pull_request:2325|pull_request:4500", + "pull_request:2347|pull_request:4276", + "pull_request:2467|pull_request:326", + "pull_request:2481|pull_request:3850", + "pull_request:2481|pull_request:689", + "pull_request:2641|pull_request:3397" + ], + "prepared_review_unit_hash": "11cd34578cf42927609a62262a3c0d8183967b555955a01c3abd61922a6aabdb", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 102455, + "estimated_input_tokens": 25614, + "estimated_eval_tokens": 51484 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated PRs across docs, tests, pipelines, and utilities. 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"pull_request:7309", + "right": "pull_request:9060", + "accept": false, + "reason": "A scheduler order-guard change is unrelated to removing a debug print from Flux transformer code." + }, + { + "left": "pull_request:7738", + "right": "pull_request:8964", + "accept": false, + "reason": "LoRA device placement robustness is unrelated to the AudioLDM2 cache-position fix." + }, + { + "left": "pull_request:7790", + "right": "pull_request:9447", + "accept": false, + "reason": "An SDXL community example adaptation is unrelated to changing pipeline save_pretrained sharding defaults." + }, + { + "left": "pull_request:7938", + "right": "pull_request:9735", + "accept": false, + "reason": "Docker Slack reporting workflow changes are unrelated to SD3 ControlNet example updates." + }, + { + "left": "pull_request:8660", + "right": "pull_request:9938", + "accept": false, + "reason": "A Stable Diffusion 3 ControlNet input-validation update is unrelated to the SDXL reference pipeline refresh." + }, + { + "left": "pull_request:9735", + "right": "pull_request:9918", + "accept": false, + "reason": "SD3 ControlNet example edits and the server example are different features with no shared bug or change." + }, + { + "left": "pull_request:8875", + "right": "pull_request:9175", + "accept": false, + "reason": "Both add PAG/ControlNet support, but they target different pipelines and code paths, so they are not the same mergeable change." + }, + { + "left": "pull_request:10747", + "right": "pull_request:10951", + "accept": false, + "reason": "SDXL MultiControlNetUnion support and the SDXL tile upscaler pipeline are different features, not one concrete fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 208, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10072", + "pull_request:10292", + "pull_request:10552", + "pull_request:10719", + "pull_request:10911", + "pull_request:11004", + "pull_request:11614", + "pull_request:11818", + "pull_request:11823", + "pull_request:11975", + "pull_request:12424", + "pull_request:1282", + "pull_request:1309", + "pull_request:13217", + "pull_request:13229", + "pull_request:1564", + "pull_request:1579", + "pull_request:1787", + "pull_request:1920", + "pull_request:2345", + "pull_request:2367", + "pull_request:2389", + "pull_request:2452", + "pull_request:2565", + "pull_request:26", + "pull_request:274", + "pull_request:3252", + "pull_request:3632", + "pull_request:3831", + "pull_request:4078", + "pull_request:4099", + "pull_request:4262", + "pull_request:4404", + "pull_request:4408", + "pull_request:4461", + "pull_request:453", + "pull_request:4632", + "pull_request:4847", + "pull_request:4910", + "pull_request:5127", + "pull_request:530", + "pull_request:5393", + "pull_request:5695", + "pull_request:689", + "pull_request:6946", + "pull_request:9212", + "pull_request:9244", + "pull_request:9507" + ], + "soft_pairs": [ + "pull_request:13217|pull_request:13229", + "pull_request:5127|pull_request:6946", + "pull_request:10552|pull_request:11823", + "pull_request:3632|pull_request:4408", + "pull_request:10072|pull_request:9507", + "pull_request:10292|pull_request:9212", + "pull_request:10719|pull_request:9244", + "pull_request:10911|pull_request:11975", + "pull_request:11004|pull_request:11818", + "pull_request:11614|pull_request:12424", + "pull_request:1282|pull_request:2389", + "pull_request:1309|pull_request:274", + "pull_request:1564|pull_request:3252", + "pull_request:1579|pull_request:274", + "pull_request:1787|pull_request:689", + "pull_request:1920|pull_request:2452", + "pull_request:2345|pull_request:4461", + "pull_request:2367|pull_request:3252", + "pull_request:2565|pull_request:453", + "pull_request:26|pull_request:530", + "pull_request:3831|pull_request:4847", + "pull_request:4078|pull_request:4910", + "pull_request:4099|pull_request:5695", + "pull_request:4262|pull_request:4404", + "pull_request:4632|pull_request:5393" + ], + "prepared_review_unit_hash": "78ab11a1993f454a39cd03f40c02be8f0bc6ea9213eab8cf0f4a17d6d9766553", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 98017, + "estimated_input_tokens": 24505, + "estimated_eval_tokens": 49266 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are 24 weakly similar but mostly unrelated PR pairs; the matches are driven by broad subsystem overlap (Flux, docs, docker, SDXL, etc.) rather than the same concrete bug or change. I would reject all soft edges as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:13217 is the strongest single representative in the set: it is a large, merged feature PR with the highest discussion/review activity and multiple downstream references. Still, it is not actually duplicate-equivalent to the others.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:13217 is the best available PR anchor only because it is the most substantial and central merged change in the batch; no pair here is strong enough to justify treating it as the same fix as another PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13217", + "right": "pull_request:13229", + "accept": false, + "reason": "Both are LTX/Sana-video related, but they solve different problems in different entry points: model support vs adding an LTX2 VAE to Sana video." + }, + { + "left": "pull_request:5127", + "right": "pull_request:6946", + "accept": false, + "reason": "Different components and behaviors: SDXL Adapter multi-adapter input handling versus IP-Adapter low_cpu_mem_usage loading optimization." + }, + { + "left": "pull_request:10552", + "right": "pull_request:11823", + "accept": false, + "reason": "From-single-file support for a T2I adapter pipeline is unrelated to Fal KonteXt LoRA conversion/loading." + }, + { + "left": "pull_request:3632", + "right": "pull_request:4408", + "accept": false, + "reason": "Panorama view batching and SDXL from_single_file support are separate pipeline features with no shared bug path." + }, + { + "left": "pull_request:10072", + "right": "pull_request:9507", + "accept": false, + "reason": "Both touch Flux ControlNet code, but one fixes SD3.5 controlnet offloading and the other fixes Flux control mode batching; different code paths and symptoms." + }, + { + "left": "pull_request:10292", + "right": "pull_request:9212", + "accept": false, + "reason": "Both affect auto_pipeline, but they add support for different model families (Flux Control vs Kolors img2img) and are not the same change." + }, + { + "left": "pull_request:10719", + "right": "pull_request:9244", + "accept": false, + "reason": "Provider options plumbing in from_pretrained is unrelated to adding Flux single-file support." + }, + { + "left": "pull_request:10911", + "right": "pull_request:11975", + "accept": false, + "reason": "One is a Lumina2 LoRA fuse_nan test fix, the other is a style-only edit in a Flux training example; not the same bug." + }, + { + "left": "pull_request:11004", + "right": "pull_request:11818", + "accept": false, + "reason": "Removing FULLY_QUALIFIED_PATTERN_KEY_PREFIX handling in PEFT and removing DtoH syncs in Flux Kontext are unrelated fixes." + }, + { + "left": "pull_request:11614", + "right": "pull_request:12424", + "accept": false, + "reason": "Both touch Docker/CI, but one changes workflow shell handling for changed images and the other rewrites Dockerfile definitions across multiple images." + }, + { + "left": "pull_request:1282", + "right": "pull_request:2389", + "accept": false, + "reason": "Different documentation fixes in different files; one corrects a training link, the other fixes typos in quicktour." + }, + { + "left": "pull_request:1309", + "right": "pull_request:274", + "accept": false, + "reason": "A broad PIL handling refactor and adding a Stable Diffusion README are unrelated changes." + }, + { + "left": "pull_request:1564", + "right": "pull_request:3252", + "accept": false, + "reason": "Default accelerate config docs and notes about stateful offload methods are different documentation updates, not the same underlying issue." + }, + { + "left": "pull_request:1579", + "right": "pull_request:274", + "accept": false, + "reason": "Intel-optimized example additions do not match the Stable Diffusion README addition." + }, + { + "left": "pull_request:1787", + "right": "pull_request:689", + "accept": false, + "reason": "UnCLIP image-count behavior and attention speed test adjustments are unrelated." + }, + { + "left": "pull_request:1920", + "right": "pull_request:2452", + "accept": false, + "reason": "Adding TRANSLATING.md and adding a core-api docs page are separate documentation features." + }, + { + "left": "pull_request:2345", + "right": "pull_request:4461", + "accept": false, + "reason": "xFormers version warnings in training scripts are unrelated to adding pipeline_class_name to the conversion script." + }, + { + "left": "pull_request:2367", + "right": "pull_request:3252", + "accept": false, + "reason": "Checkpoint retention logic in training scripts is not the same as adding statefulness notes to offload docs." + }, + { + "left": "pull_request:2565", + "right": "pull_request:453", + "accept": false, + "reason": "UNet1D docs correction and installation typo fix are unrelated documentation patches." + }, + { + "left": "pull_request:26", + "right": "pull_request:530", + "accept": false, + "reason": "A scheduler math fix and a flaky img2img test adjustment are not the same bug or change." + }, + { + "left": "pull_request:3831", + "right": "pull_request:4847", + "accept": false, + "reason": "A new DDPM inversion pipeline and a prompt-free diffusion community example are different features." + }, + { + "left": "pull_request:4078", + "right": "pull_request:4910", + "accept": false, + "reason": "Forcing accelerate for from_single_file and an inpainting docs typo fix are unrelated." + }, + { + "left": "pull_request:4099", + "right": "pull_request:5695", + "accept": false, + "reason": "SDXL prompt embedding fix and PixArt-Alpha mask condition fix are different model-specific bugs." + }, + { + "left": "pull_request:4262", + "right": "pull_request:4404", + "accept": false, + "reason": "SDXL DreamBooth LoRA fixes and removal of textual inversion mentions from SDXL docs are unrelated." + }, + { + "left": "pull_request:4632", + "right": "pull_request:5393", + "accept": false, + "reason": "Checkpointing/casting fixes in an SDXL LoRA training script and a generic HFApi docs update are not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 209, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10633", + "pull_request:11017", + "pull_request:11421", + "pull_request:11645", + "pull_request:1256", + "pull_request:1258", + "pull_request:12618", + "pull_request:1282", + "pull_request:13164", + "pull_request:2040", + "pull_request:241", + "pull_request:2994", + "pull_request:3137", + "pull_request:3189", + "pull_request:4352", + "pull_request:4617", + "pull_request:4783", + "pull_request:4793", + "pull_request:4833", + "pull_request:4910", + "pull_request:4927", + "pull_request:5057", + "pull_request:5085", + "pull_request:5407", + "pull_request:5506", + "pull_request:5615", + "pull_request:5813", + "pull_request:6099", + "pull_request:6208", + "pull_request:6787", + "pull_request:6841", + "pull_request:6893", + "pull_request:7134", + "pull_request:7213", + "pull_request:7632", + "pull_request:8616", + "pull_request:8685", + "pull_request:8702", + "pull_request:8722", + "pull_request:9049", + "pull_request:9065", + "pull_request:9175", + "pull_request:9311", + "pull_request:9423", + "pull_request:9569", + "pull_request:9918", + "pull_request:9988" + ], + "soft_pairs": [ + "pull_request:4783|pull_request:5813", + "pull_request:4833|pull_request:6099", + "pull_request:4910|pull_request:5407", + "pull_request:4927|pull_request:5615", + "pull_request:5085|pull_request:5506", + "pull_request:6208|pull_request:6787", + "pull_request:6841|pull_request:8702", + "pull_request:6841|pull_request:9065", + "pull_request:6893|pull_request:8722", + "pull_request:7134|pull_request:7213", + "pull_request:7632|pull_request:9569", + "pull_request:8685|pull_request:9918", + "pull_request:9049|pull_request:9988", + "pull_request:2040|pull_request:241", + "pull_request:4617|pull_request:5057", + "pull_request:8616|pull_request:9423", + "pull_request:9175|pull_request:9311", + "pull_request:10633|pull_request:11017", + "pull_request:11421|pull_request:11645", + "pull_request:1256|pull_request:1258", + "pull_request:12618|pull_request:13164", + "pull_request:1282|pull_request:2994", + "pull_request:3137|pull_request:3189", + "pull_request:4352|pull_request:4793" + ], + "prepared_review_unit_hash": "2692f1ba7b1d6999a04690a92e80ffb4bea7734d71d5d01c728562b49f3938b2", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 97043, + "estimated_input_tokens": 24261, + "estimated_eval_tokens": 48778 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly unrelated PRs that only look similar on title or broad subsystem; I accepted just one true duplicate-style pair in the negative-prompt test changes.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1258 is the best canonical representative of the only real duplicate pair: it makes the negative prompt handling explicit via a named keyword argument, matching the same test change as 1256.", + "best_issue_reason": null, + "best_pr_reason": "PR 1258 is the clearest representative here because it directly duplicates 1256 with the same test intent and the cleaner implementation.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4783", + "right": "pull_request:5813", + "accept": false, + "reason": "Different changes: SDXL CFG-cutoff docs vs loader API docs restructuring." + }, + { + "left": "pull_request:4833", + "right": "pull_request:6099", + "accept": false, + "reason": "Unrelated fixes in different areas: LoRA unfuse behavior vs TextToVideoZero constructor args." + }, + { + "left": "pull_request:4910", + "right": "pull_request:5407", + "accept": false, + "reason": "One is an inpainting docs typo fix; the other is mixed-precision training example logic." + }, + { + "left": "pull_request:4927", + "right": "pull_request:5615", + "accept": false, + "reason": "Both are reverts, but they revert different features in different pipelines and code paths." + }, + { + "left": "pull_request:5085", + "right": "pull_request:5506", + "accept": false, + "reason": "LoRA/offloading compatibility fix is not the same bug as the xformers+PEFT attention scaling error." + }, + { + "left": "pull_request:6208", + "right": "pull_request:6787", + "accept": false, + "reason": "Different concrete bugs: VAE dtype mismatch in Stable Diffusion vs input value-range normalization in Marigold depth estimation." + }, + { + "left": "pull_request:6841", + "right": "pull_request:8702", + "accept": false, + "reason": "General attention/block API restoration vs an SD3 conversion script; no shared fix scope." + }, + { + "left": "pull_request:6841", + "right": "pull_request:9065", + "accept": false, + "reason": "BasicTransformerBlock parameter restoration is unrelated to adding sentencepiece soft-dependency support." + }, + { + "left": "pull_request:6893", + "right": "pull_request:8722", + "accept": false, + "reason": "3D UNet attention wiring refactor and embeddings package refactor are distinct code changes." + }, + { + "left": "pull_request:7134", + "right": "pull_request:7213", + "accept": false, + "reason": "Type-hint cleanup in UNet is unrelated to docs for merging LoRAs." + }, + { + "left": "pull_request:7632", + "right": "pull_request:9569", + "accept": false, + "reason": "DreamBooth VAE loading fix and CogVideoX autoencoder decode fix address different failures." + }, + { + "left": "pull_request:8685", + "right": "pull_request:9918", + "accept": false, + "reason": "Float8 note in SD3 docs is unrelated to the server example addition." + }, + { + "left": "pull_request:9049", + "right": "pull_request:9988", + "accept": false, + "reason": "Both touch Flux, but one is a narrow encode_prompt dtype fix while the other is a broader Flux Redux feature/change set." + }, + { + "left": "pull_request:2040", + "right": "pull_request:241", + "accept": false, + "reason": "InstructPix2Pix pipeline implementation and an inpainting example script are separate additions." + }, + { + "left": "pull_request:4617", + "right": "pull_request:5057", + "accept": false, + "reason": "The encode_prompt refactor is broader infrastructure work; clip-skip support in SDXL is a different feature and code path." + }, + { + "left": "pull_request:8616", + "right": "pull_request:9423", + "accept": false, + "reason": "LoRA fusion for SD3 and Differential Diffusion for Kolors are unrelated changes." + }, + { + "left": "pull_request:9175", + "right": "pull_request:9311", + "accept": false, + "reason": "Flux ControlNet support and SDXL ControlNet CFG cutoff are different ControlNet features and not mergeable as one fix." + }, + { + "left": "pull_request:10633", + "right": "pull_request:11017", + "accept": false, + "reason": "Flux docs example vs hybrid-inference VAE encode docs/code; no shared underlying bug or change." + }, + { + "left": "pull_request:11421", + "right": "pull_request:11645", + "accept": false, + "reason": "Dreambooth interpolation default and torch-disabled version handling are unrelated maintenance fixes." + }, + { + "left": "pull_request:1256", + "right": "pull_request:1258", + "accept": true, + "reason": "Same test change for negative prompts; 1258 is the clearer form with an explicit negative_prompt keyword and matches 1256's intent." + }, + { + "left": "pull_request:12618", + "right": "pull_request:13164", + "accept": false, + "reason": "CI uv-install typo fix and CI test-dependency removal are separate workflow changes." + }, + { + "left": "pull_request:1282", + "right": "pull_request:2994", + "accept": false, + "reason": "Docs link fix vs ControlNet training type-casting bug; unrelated scope." + }, + { + "left": "pull_request:3137", + "right": "pull_request:3189", + "accept": false, + "reason": "UNet class-label dtype casting and AudioLDM waveform dtype are different model-specific fixes." + }, + { + "left": "pull_request:4352", + "right": "pull_request:4793", + "accept": false, + "reason": "Kandinsky combined-pipeline memory/offload methods and auto_pipeline kwargs propagation are unrelated issues." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet, and the lone accepted pair (1256/1258) is a plausible same-bugfix duplicate in the same test file. The rejected soft-edge pairs are conservative overall and do not overstate mergeability." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 210, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10056", + "pull_request:10630", + "pull_request:10983", + "pull_request:11475", + "pull_request:11485", + "pull_request:11588", + "pull_request:11786", + "pull_request:11979", + "pull_request:11994", + "pull_request:11995", + "pull_request:12041", + "pull_request:12249", + "pull_request:12330", + "pull_request:1327", + "pull_request:1355", + "pull_request:1458", + "pull_request:1470", + "pull_request:2385", + "pull_request:241", + "pull_request:2557", + "pull_request:3351", + "pull_request:4461", + "pull_request:4712", + "pull_request:4714", + "pull_request:5021", + "pull_request:5085", + "pull_request:5115", + "pull_request:5261", + "pull_request:5299", + "pull_request:5823", + "pull_request:5880", + "pull_request:6236", + "pull_request:6424", + "pull_request:6673", + "pull_request:7062", + "pull_request:7158", + "pull_request:7216", + "pull_request:7632", + "pull_request:7924", + "pull_request:821", + "pull_request:823", + "pull_request:8688", + "pull_request:8722", + "pull_request:8952", + "pull_request:9099", + "pull_request:9473", + "pull_request:9638", + "pull_request:9838" + ], + "soft_pairs": [ + "pull_request:5021|pull_request:7216", + "pull_request:5085|pull_request:5823", + "pull_request:5299|pull_request:6236", + "pull_request:5880|pull_request:7632", + "pull_request:6673|pull_request:7062", + "pull_request:8722|pull_request:8952", + "pull_request:9099|pull_request:9638", + "pull_request:9473|pull_request:9838", + "pull_request:10056|pull_request:11485", + "pull_request:11475|pull_request:11994", + "pull_request:11979|pull_request:12330", + "pull_request:1327|pull_request:821", + "pull_request:1458|pull_request:823", + "pull_request:1470|pull_request:2557", + "pull_request:11485|pull_request:12041", + "pull_request:1355|pull_request:241", + "pull_request:4461|pull_request:5115", + "pull_request:7158|pull_request:8688", + "pull_request:10630|pull_request:11786", + "pull_request:4712|pull_request:6673", + "pull_request:4714|pull_request:5261", + "pull_request:10983|pull_request:11588", + "pull_request:11995|pull_request:12249", + "pull_request:6424|pull_request:7924", + "pull_request:2385|pull_request:3351" + ], + "prepared_review_unit_hash": "853e1f83daebd40f7fcec92787c0326ebf8b5e7ef333fa0cefd1e27f64f9a598", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 101838, + "estimated_input_tokens": 25460, + "estimated_eval_tokens": 51176 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of unrelated PRs with only superficial title/diff similarity (pipeline additions, scheduler test updates, docs, LoRA, controlnet, etc.). None of the soft pairs look like the same underlying bug or change, so no duplicate edges should be accepted.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11995 is the strongest standalone representative in this PR-only set: it is a substantial merged feature PR with a clear scope and meaningful implementation, unlike the many narrowly scoped or purely test/doc fixes.", + "best_issue_reason": null, + "best_pr_reason": "If one PR must serve as the cluster anchor, #11995 is the best fit because it is large, self-contained, and well-discussed. That said, the cluster is heterogeneous, so it is not a true duplicate canonicalization target.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5021", + "right": "pull_request:7216", + "accept": false, + "reason": "Different changes: scheduler mapping doc update vs. conversion loader signature expansion." + }, + { + "left": "pull_request:5085", + "right": "pull_request:5823", + "accept": false, + "reason": "Both involve LoRA, but one fixes offloading incompatibility while the other adds adapter-name support for fusing; different code-path problems." + }, + { + "left": "pull_request:5299", + "right": "pull_request:6236", + "accept": false, + "reason": "Unrelated: typehints/docs in models vs. a ControlNet inpainting doc example fix." + }, + { + "left": "pull_request:5880", + "right": "pull_request:7632", + "accept": false, + "reason": "Both touch VAEs, but one is about latent-diffusion compatibility across many pipelines and the other is a DreamBooth VAE loading path fix." + }, + { + "left": "pull_request:6673", + "right": "pull_request:7062", + "accept": false, + "reason": "Different artifacts: InstantID pipeline addition vs. imagic docstring cleanup." + }, + { + "left": "pull_request:8722", + "right": "pull_request:8952", + "accept": false, + "reason": "Core refactor vs. QKV fusion feature work; not the same bug or change." + }, + { + "left": "pull_request:9099", + "right": "pull_request:9638", + "accept": false, + "reason": "Both are controlnet-related, but they target different model families and implementation paths." + }, + { + "left": "pull_request:9473", + "right": "pull_request:9838", + "accept": false, + "reason": "Different Flux DreamBooth training fixes; one adjusts LR handling for T5/prodigy, the other fixes custom-prompt repetition/memory behavior." + }, + { + "left": "pull_request:10056", + "right": "pull_request:11485", + "accept": false, + "reason": "Different features: Flux Redux prompt/image input support vs. adding a Flex.2 preview pipeline." + }, + { + "left": "pull_request:11475", + "right": "pull_request:11994", + "accept": false, + "reason": "WAN recompilation fix vs. CI marker/workflow changes; no shared concrete bug." + }, + { + "left": "pull_request:11979", + "right": "pull_request:12330", + "accept": false, + "reason": "Torch-version gating in compilation tests is unrelated to cleaning group-offloading tests." + }, + { + "left": "pull_request:1327", + "right": "pull_request:821", + "accept": false, + "reason": "Local custom-pipeline loading vs. an all-in-one Stable Diffusion community pipeline are unrelated features." + }, + { + "left": "pull_request:1458", + "right": "pull_request:823", + "accept": false, + "reason": "ONNX runtime candidate detection vs. negative-prompt type checking; no shared issue." + }, + { + "left": "pull_request:1470", + "right": "pull_request:2557", + "accept": false, + "reason": "Alt-diffusion DreamBooth compatibility is unrelated to adding intermediate logging." + }, + { + "left": "pull_request:11485", + "right": "pull_request:12041", + "accept": false, + "reason": "A new Flex.2 pipeline vs. WAN VAE patch fixes are different model/features." + }, + { + "left": "pull_request:1355", + "right": "pull_request:241", + "accept": false, + "reason": "Flax img2img pipeline addition vs. an inpainting example script; same broad area, different artifacts and code paths." + }, + { + "left": "pull_request:4461", + "right": "pull_request:5115", + "accept": false, + "reason": "Both update a conversion script, but they add different CLI arguments for different behaviors and are not the same fix." + }, + { + "left": "pull_request:7158", + "right": "pull_request:8688", + "accept": false, + "reason": "Benchmark test cleanup vs. LoRA DoRA conversion logic; unrelated." + }, + { + "left": "pull_request:10630", + "right": "pull_request:11786", + "accept": false, + "reason": "Flax test slice adjustments vs. CI marker/workflow changes; only both are test-related at a very high level." + }, + { + "left": "pull_request:4712", + "right": "pull_request:6673", + "accept": false, + "reason": "Adding a test-fetcher utility is unrelated to adding an InstantID pipeline." + }, + { + "left": "pull_request:4714", + "right": "pull_request:5261", + "accept": false, + "reason": "Bad missing-transformers error handling vs. scheduler callback-step fixes are different concerns." + }, + { + "left": "pull_request:10983", + "right": "pull_request:11588", + "accept": false, + "reason": "Both touch video/image generation support, but they target different models and different feature areas." + }, + { + "left": "pull_request:11995", + "right": "pull_request:12249", + "accept": false, + "reason": "Modular Flux T2I plumbing vs. Step1X-Edit pipeline addition; both are large feature additions, not the same one." + }, + { + "left": "pull_request:6424", + "right": "pull_request:7924", + "accept": false, + "reason": "PixArt weight conversion bug vs. SDXL ControlNet inpaint IP-Adapter condition handling; unrelated." + }, + { + "left": "pull_request:2385", + "right": "pull_request:3351", + "accept": false, + "reason": "A Pix2Pix-Zero utility addition vs. scheduler Karras-sigmas support; different subsystems and bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 211, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1", + "pull_request:10005", + "pull_request:10058", + "pull_request:10069", + "pull_request:10086", + "pull_request:101", + "pull_request:10109", + "pull_request:10867", + "pull_request:10970", + "pull_request:11130", + "pull_request:11231", + "pull_request:11564", + "pull_request:11660", + "pull_request:11797", + "pull_request:12024", + "pull_request:12074", + "pull_request:12109", + "pull_request:12119", + "pull_request:12387", + "pull_request:12584", + "pull_request:12723", + "pull_request:12897", + "pull_request:12919", + "pull_request:13063", + "pull_request:13208", + "pull_request:2129", + "pull_request:2721", + "pull_request:2954", + "pull_request:3386", + "pull_request:3476", + "pull_request:4098", + "pull_request:428", + "pull_request:5298", + "pull_request:5440", + "pull_request:7", + "pull_request:7359", + "pull_request:7541", + "pull_request:8412", + "pull_request:8425", + "pull_request:8640", + "pull_request:8739", + "pull_request:9099", + "pull_request:9286", + "pull_request:9507", + "pull_request:9542", + "pull_request:9573", + "pull_request:9988" + ], + "soft_pairs": [ + "pull_request:5298|pull_request:5440", + "pull_request:7359|pull_request:8739", + "pull_request:7541|pull_request:8640", + "pull_request:2129|pull_request:2954", + "pull_request:9099|pull_request:9573", + "pull_request:13063|pull_request:13208", + "pull_request:11130|pull_request:11797", + "pull_request:10867|pull_request:9542", + "pull_request:2721|pull_request:3476", + "pull_request:3386|pull_request:4098", + "pull_request:12109|pull_request:12119", + "pull_request:12584|pull_request:12723", + "pull_request:11231|pull_request:12119", + "pull_request:11660|pull_request:12387", + "pull_request:12024|pull_request:12074", + "pull_request:9507|pull_request:9988", + "pull_request:12897|pull_request:12919", + "pull_request:1|pull_request:7", + "pull_request:10005|pull_request:11564", + "pull_request:10058|pull_request:8412", + "pull_request:10069|pull_request:10970", + "pull_request:10086|pull_request:8425", + "pull_request:101|pull_request:428", + "pull_request:10109|pull_request:9286" + ], + "prepared_review_unit_hash": "7deb88d72387f13fa8da1be3b6941506f33125164e0193bd5218a05dcfd6499e", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 104377, + "estimated_input_tokens": 26095, + "estimated_eval_tokens": 52446 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The proposed soft edges are overwhelmingly false positives: the PRs share broad keywords or subsystems, but they address different bugs/features, usually in different files and code paths. This set is not a coherent duplicate cluster.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is canonical here because the items are not duplicates of one another; they span unrelated work across docs, schedulers, quantization, pipelines, loaders, and model additions.", + "best_issue_reason": null, + "best_pr_reason": "No PR is a good global representative for this cluster, since there is no single underlying change to collapse to.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5298", + "right": "pull_request:5440", + "accept": false, + "reason": "Different fixes: LoRA conv torch.compile behavior vs local single-file loading; no shared code-path or bug." + }, + { + "left": "pull_request:7359", + "right": "pull_request:8739", + "accept": false, + "reason": "Different work items: ResAdapter training script vs ConsistencyTTA community pipeline; only both are community examples." + }, + { + "left": "pull_request:7541", + "right": "pull_request:8640", + "accept": false, + "reason": "One changes nightly workflow dispatching; the other relaxes a Flax test tolerance. No common underlying issue." + }, + { + "left": "pull_request:2129", + "right": "pull_request:2954", + "accept": false, + "reason": "Different model-editing and text-to-video pipeline additions; same broad docs/pipeline area but not the same change." + }, + { + "left": "pull_request:9099", + "right": "pull_request:9573", + "accept": false, + "reason": "Both touch SD3 controlnet inpainting, but 9099 adds support while 9573 changes shape/divisibility validation. Separate issues." + }, + { + "left": "pull_request:13063", + "right": "pull_request:13208", + "accept": false, + "reason": "Different modular refactors: Wan modular pipeline rewrite vs Helios pipeline addition. Not the same concrete change." + }, + { + "left": "pull_request:11130", + "right": "pull_request:11797", + "accept": false, + "reason": "Both are quantization-related, but 11130 adds pipeline-level quantization config while 11797 adds Higgs quantization support. Different code paths." + }, + { + "left": "pull_request:10867", + "right": "pull_request:9542", + "accept": false, + "reason": "Both involve LoRA conversion, but one adds multi-IP-Adapter Flux support and the other adds Kohya Flux LoRA text-encoder handling. Not duplicates." + }, + { + "left": "pull_request:2721", + "right": "pull_request:3476", + "accept": false, + "reason": "Model editing pipeline vs scheduler Karras-sigmas support; unrelated features." + }, + { + "left": "pull_request:3386", + "right": "pull_request:4098", + "accept": false, + "reason": "ControlNet refactor/add img2img/inpaint vs SDXL inpainting; same area, but different pipelines and changes." + }, + { + "left": "pull_request:12109", + "right": "pull_request:12119", + "accept": false, + "reason": "UniPC scheduler custom sigma/timestep support vs Qwen-Image Lightning LoRA loading; unrelated." + }, + { + "left": "pull_request:12584", + "right": "pull_request:12723", + "accept": false, + "reason": "Both concern SANA video, but one adds a 5s pretrained inference pipeline and the other adds LongSANA/minute-length video support. Different model variants and pipelines." + }, + { + "left": "pull_request:11231", + "right": "pull_request:12119", + "accept": false, + "reason": "HiDream image model/pipeline addition vs Qwen-Image Lightning LoRA loading; no shared bug or code path." + }, + { + "left": "pull_request:11660", + "right": "pull_request:12387", + "accept": false, + "reason": "HiDream LoRA support draft vs flash attention backend through kernels; unrelated subsystems." + }, + { + "left": "pull_request:12024", + "right": "pull_request:12074", + "accept": false, + "reason": "Wan follow-up bugfix vs Wan 2.2 LoRA support and second-transformer loading. Related project area, but different concrete changes." + }, + { + "left": "pull_request:9507", + "right": "pull_request:9988", + "accept": false, + "reason": "Flux controlnet batch/control-mode fix vs Flux Redux pipeline/model additions; not the same bug and not mergeable as one fix." + }, + { + "left": "pull_request:12897", + "right": "pull_request:12919", + "accept": false, + "reason": "NPU pos-embed improvement in Flux vs NPU attention backend enablement. Same hardware theme, but distinct changes." + }, + { + "left": "pull_request:1", + "right": "pull_request:7", + "accept": false, + "reason": "Initial GLIDE model files vs initial VQ-VAE addition; both early bootstrap PRs, but unrelated components." + }, + { + "left": "pull_request:10005", + "right": "pull_request:11564", + "accept": false, + "reason": "Docs-only pipeline spec additions vs adding prodigy dependencies for dreambooth. Not the same underlying issue." + }, + { + "left": "pull_request:10058", + "right": "pull_request:8412", + "accept": false, + "reason": "Both touch docs links/single-file docs, but 10058 is a link fix and 8412 is a broader single-file documentation rewrite." + }, + { + "left": "pull_request:10069", + "right": "pull_request:10970", + "accept": false, + "reason": "BnB quantizer device handling vs style-bot workflow migration; entirely different areas." + }, + { + "left": "pull_request:10086", + "right": "pull_request:8425", + "accept": false, + "reason": "StableDiffusion3 skip-guidance bugfix vs workflow rename for mirror_community_pipeline; no relation." + }, + { + "left": "pull_request:101", + "right": "pull_request:428", + "accept": false, + "reason": "Core library bootstrap PR vs docs-only diffusers usage overhaul; same repo history, not the same change." + }, + { + "left": "pull_request:10109", + "right": "pull_request:9286", + "accept": false, + "reason": "Torch XLA support in Stable Audio vs exporting FluxMultiControlNetModel in __init__.py; unrelated changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 212, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10114", + "pull_request:10115", + "pull_request:10119", + "pull_request:10126", + "pull_request:10140", + "pull_request:10148", + "pull_request:1017", + "pull_request:10188", + "pull_request:10197", + "pull_request:102", + "pull_request:1020", + "pull_request:10206", + "pull_request:10218", + "pull_request:10220", + "pull_request:10245", + "pull_request:10246", + "pull_request:10251", + "pull_request:1027", + "pull_request:10293", + "pull_request:10312", + "pull_request:10358", + "pull_request:10506", + "pull_request:10651", + "pull_request:10730", + "pull_request:11096", + "pull_request:11129", + "pull_request:11475", + "pull_request:11531", + "pull_request:11635", + "pull_request:11647", + "pull_request:1885", + "pull_request:2007", + "pull_request:2322", + "pull_request:3172", + "pull_request:3230", + "pull_request:628", + "pull_request:70", + "pull_request:8497", + "pull_request:8600", + "pull_request:8627", + "pull_request:8774", + "pull_request:9021", + "pull_request:9036", + "pull_request:9116", + "pull_request:9266", + "pull_request:9709", + "pull_request:9769", + "pull_request:9893" + ], + "soft_pairs": [ + "pull_request:10114|pull_request:10730", + "pull_request:10114|pull_request:11475", + "pull_request:10115|pull_request:8497", + "pull_request:10119|pull_request:10245", + "pull_request:10126|pull_request:8774", + "pull_request:10140|pull_request:9769", + "pull_request:10148|pull_request:9893", + "pull_request:1017|pull_request:1885", + "pull_request:10188|pull_request:10506", + "pull_request:10197|pull_request:11096", + "pull_request:10197|pull_request:11129", + "pull_request:10197|pull_request:11531", + "pull_request:10197|pull_request:8600", + "pull_request:10197|pull_request:9266", + "pull_request:102|pull_request:2007", + "pull_request:102|pull_request:70", + "pull_request:1020|pull_request:2322", + "pull_request:1020|pull_request:3172", + "pull_request:1020|pull_request:628", + "pull_request:10206|pull_request:8627", + "pull_request:10218|pull_request:9036", + "pull_request:10218|pull_request:9116", + "pull_request:10220|pull_request:11635", + "pull_request:10245|pull_request:10358", + "pull_request:10246|pull_request:11647", + "pull_request:10251|pull_request:9021", + "pull_request:1027|pull_request:3230", + "pull_request:1027|pull_request:628", + "pull_request:10293|pull_request:9709", + "pull_request:10312|pull_request:10651" + ], + "prepared_review_unit_hash": "45d7b0e67ce0614c2ff66351f0c91eba33c748f7de90e96a6ff7878f3c291f22", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 99259, + "estimated_input_tokens": 24815, + "estimated_eval_tokens": 49886 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The candidate PRs are a heterogeneous mix of unrelated docs, CI, model additions, and small bugfixes. None of the soft-edge pairs look like the same underlying change or bug, so all should be rejected as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:10114", + "right": "pull_request:10730", + "accept": false, + "reason": "Formatting-only Stable Audio edit vs hook unwrapping logic in pipeline_utils; unrelated changes." + }, + { + "left": "pull_request:10114", + "right": "pull_request:11475", + "accept": false, + "reason": "Stable Audio whitespace cleanup vs WAN recompilation fix; different code paths." + }, + { + "left": "pull_request:10115", + "right": "pull_request:8497", + "accept": false, + "reason": "Flux positional embedding bug fix vs a spelling/doc tweak in a scheduler; not the same issue." + }, + { + "left": "pull_request:10119", + "right": "pull_request:10245", + "accept": false, + "reason": "Docs for load_lora_adapter vs docs for delete_adapters; different API surface and intent." + }, + { + "left": "pull_request:10126", + "right": "pull_request:8774", + "accept": false, + "reason": "Deprecating save_attn_procs vs introducing LoraBaseMixin; related LoRA area but different changes." + }, + { + "left": "pull_request:10140", + "right": "pull_request:9769", + "accept": false, + "reason": "ConsisID core addition vs Mochi T2V core addition; separate model families." + }, + { + "left": "pull_request:10148", + "right": "pull_request:9893", + "accept": false, + "reason": "OmniGen model/pipeline addition vs SDXL ControlNet reference community pipeline; unrelated features." + }, + { + "left": "pull_request:1017", + "right": "pull_request:1885", + "accept": false, + "reason": "Dreambooth type annotation fix vs Dreambooth-inpaint epoch typo; different scripts and bugs." + }, + { + "left": "pull_request:10188", + "right": "pull_request:10506", + "accept": false, + "reason": "Flux LoRA load/expand error handling vs TorchAO sequential CPU offload test; unrelated functionality." + }, + { + "left": "pull_request:10197", + "right": "pull_request:11096", + "accept": false, + "reason": "TPU CI workflow changes vs Flux TPU README docs; different artifact types and purposes." + }, + { + "left": "pull_request:10197", + "right": "pull_request:11129", + "accept": false, + "reason": "TPU CI workflow changes vs modeling import cleanup across transformers; unrelated." + }, + { + "left": "pull_request:10197", + "right": "pull_request:11531", + "accept": false, + "reason": "TPU CI workflow changes vs inpaint documentation update; unrelated." + }, + { + "left": "pull_request:10197", + "right": "pull_request:8600", + "accept": false, + "reason": "TPU CI workflow changes vs SD3 DreamBooth cleanup; unrelated code paths." + }, + { + "left": "pull_request:10197", + "right": "pull_request:9266", + "accept": false, + "reason": "TPU CI workflow changes vs community projects docs entry; unrelated." + }, + { + "left": "pull_request:102", + "right": "pull_request:2007", + "accept": false, + "reason": "Training example README update vs Black formatting sweep; not the same underlying change." + }, + { + "left": "pull_request:102", + "right": "pull_request:70", + "accept": false, + "reason": "Example docs update vs early attention/unet refactor; unrelated." + }, + { + "left": "pull_request:1020", + "right": "pull_request:2322", + "accept": false, + "reason": "Docs/training overview update vs inpaint example update; separate docs/examples." + }, + { + "left": "pull_request:1020", + "right": "pull_request:3172", + "accept": false, + "reason": "Training docs update vs reproducibility docs update; different topics." + }, + { + "left": "pull_request:1020", + "right": "pull_request:628", + "accept": false, + "reason": "Training docs update vs index colab link change; not the same bug/change." + }, + { + "left": "pull_request:10206", + "right": "pull_request:8627", + "accept": false, + "reason": "Flux unload_lora_weights implementation vs SD3 ControlNet test-size reduction; unrelated." + }, + { + "left": "pull_request:10218", + "right": "pull_request:9036", + "accept": false, + "reason": "ControlNetUnion callback tensor inputs fix vs nightly dependency pinning; unrelated." + }, + { + "left": "pull_request:10218", + "right": "pull_request:9116", + "accept": false, + "reason": "ControlNetUnion callback tensor inputs fix vs dead-link docs fix; unrelated." + }, + { + "left": "pull_request:10220", + "right": "pull_request:11635", + "accept": false, + "reason": "Mochi test rename vs Flux Kontext feature addition; unrelated." + }, + { + "left": "pull_request:10245", + "right": "pull_request:10358", + "accept": false, + "reason": "PEFT adapter docs update vs community projects docs entry; unrelated documentation changes." + }, + { + "left": "pull_request:10246", + "right": "pull_request:11647", + "accept": false, + "reason": "AttnProcessor docs/code additions vs Finegrained FP8 feature addition; different subsystems." + }, + { + "left": "pull_request:10251", + "right": "pull_request:9021", + "accept": false, + "reason": "Regional prompting typo fix vs SD3ControlNet from_transformer bug fix; unrelated bugs." + }, + { + "left": "pull_request:1027", + "right": "pull_request:3230", + "accept": false, + "reason": "DDPM dataloader option example fix vs IF model/pipeline introduction; unrelated." + }, + { + "left": "pull_request:1027", + "right": "pull_request:628", + "accept": false, + "reason": "DDPM example CLI option change vs unrelated README colab link tweak." + }, + { + "left": "pull_request:10293", + "right": "pull_request:9709", + "accept": false, + "reason": "TorchAO minimum-version bump vs torch max-version pin; opposite dependency constraints and different packages." + }, + { + "left": "pull_request:10312", + "right": "pull_request:10651", + "accept": false, + "reason": "Attention reshape bug fix vs Lumina input validation fix; different code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 213, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10318", + "pull_request:10324", + "pull_request:10332", + "pull_request:10351", + "pull_request:10364", + "pull_request:1041", + "pull_request:10420", + "pull_request:1043", + "pull_request:10481", + "pull_request:10497", + "pull_request:10502", + "pull_request:10506", + "pull_request:10537", + "pull_request:10544", + "pull_request:10548", + "pull_request:10554", + "pull_request:10576", + "pull_request:10579", + "pull_request:10622", + "pull_request:10852", + "pull_request:10889", + "pull_request:10898", + "pull_request:11004", + "pull_request:11124", + "pull_request:11196", + "pull_request:11249", + "pull_request:11262", + "pull_request:11319", + "pull_request:11564", + "pull_request:11841", + "pull_request:21", + "pull_request:22", + "pull_request:268", + "pull_request:2759", + "pull_request:3108", + "pull_request:545", + "pull_request:828", + "pull_request:886", + "pull_request:8932", + "pull_request:8964", + "pull_request:8973", + "pull_request:9077", + "pull_request:9244", + "pull_request:9709", + "pull_request:9739", + "pull_request:9821", + "pull_request:9827" + ], + "soft_pairs": [ + "pull_request:10318|pull_request:11004", + "pull_request:10324|pull_request:11124", + "pull_request:10332|pull_request:11564", + "pull_request:10351|pull_request:11196", + "pull_request:10351|pull_request:8964", + "pull_request:10364|pull_request:11249", + "pull_request:1041|pull_request:268", + "pull_request:1041|pull_request:2759", + "pull_request:1041|pull_request:3108", + "pull_request:1041|pull_request:886", + "pull_request:10420|pull_request:9077", + "pull_request:1043|pull_request:21", + "pull_request:1043|pull_request:22", + "pull_request:1043|pull_request:545", + "pull_request:1043|pull_request:828", + "pull_request:10481|pull_request:10537", + "pull_request:10497|pull_request:9709", + "pull_request:10502|pull_request:10579", + "pull_request:10506|pull_request:11196", + "pull_request:10506|pull_request:8932", + "pull_request:10506|pull_request:8973", + "pull_request:10544|pull_request:11319", + "pull_request:10548|pull_request:10554", + "pull_request:10548|pull_request:9077", + "pull_request:10548|pull_request:9739", + "pull_request:10554|pull_request:10852", + "pull_request:10554|pull_request:10889", + "pull_request:10554|pull_request:11262", + "pull_request:10576|pull_request:9821", + "pull_request:10576|pull_request:9827", + "pull_request:10579|pull_request:10898", + "pull_request:10579|pull_request:9244", + "pull_request:10622|pull_request:11841" + ], + "prepared_review_unit_hash": "1c8ce04919b5aea424b86dd68f0f61a15b716fb6db2c88394a22cbec5071dc02", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 33, + "serialized_chars": 91036, + "estimated_input_tokens": 22759, + "estimated_eval_tokens": 45774 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set: it mixes unrelated docs, tests, CI, feature, and bugfix PRs across many subsystems. No soft edge looks like the same concrete change or bug, so all candidates should be rejected.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR fits here; the items are heterogeneous and do not share one underlying fix or feature.", + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good cluster representative because the set spans unrelated changes rather than one duplicate thread.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10318", + "right": "pull_request:11004", + "accept": false, + "reason": "Unrelated LoRA integration tests vs PEFT loader prefix cleanup; different code paths and goals." + }, + { + "left": "pull_request:10324", + "right": "pull_request:11124", + "accept": false, + "reason": "Kandinsky CPU offload signature fix vs CogView4 test tokenizer swap; unrelated changes." + }, + { + "left": "pull_request:10332", + "right": "pull_request:11564", + "accept": false, + "reason": "Model-loading shape error message fix vs adding a dreambooth dependency; 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same file but different changes." + }, + { + "left": "pull_request:10497", + "right": "pull_request:9709", + "accept": false, + "reason": "Tokenizers install path fix vs torch version pinning; unrelated CI issues." + }, + { + "left": "pull_request:10502", + "right": "pull_request:10579", + "accept": false, + "reason": "Model output serialization metadata vs community-project documentation; unrelated." + }, + { + "left": "pull_request:10506", + "right": "pull_request:11196", + "accept": false, + "reason": "TorchAo offload test vs save_pretrained safetensors behavior; different bugs." + }, + { + "left": "pull_request:10506", + "right": "pull_request:8932", + "accept": false, + "reason": "TorchAo offload test vs temporal transformer test coverage; unrelated test additions." + }, + { + "left": "pull_request:10506", + "right": "pull_request:8973", + "accept": false, + "reason": "Offload test vs lumina model-size reduction; not the same change." + }, + { + "left": "pull_request:10544", + "right": "pull_request:11319", + "accept": false, + "reason": "ParaAttention docs vs community projects listing entry; 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Not the same code-path problem." + }, + { + "left": "pull_request:1133", + "right": "pull_request:703", + "accept": false, + "reason": "CI workflow change vs another CI workflow/cache tweak from a different target. Not clearly one duplicate change." + }, + { + "left": "pull_request:1133", + "right": "pull_request:885", + "accept": false, + "reason": "CI workflow change vs DPM encoder scheduler implementation. Different domain and intent." + }, + { + "left": "pull_request:11353", + "right": "pull_request:11546", + "accept": false, + "reason": "Wan-FLF2V support vs LoRA loader support for Hunyuan FramePack. Different pipelines and features." + }, + { + "left": "pull_request:11366", + "right": "pull_request:9938", + "accept": false, + "reason": "HiDream transformer output API change vs SDXL reference example update. Only superficial similarity around example/docs." + }, + { + "left": "pull_request:1147", + "right": "pull_request:2009", + "accept": false, + "reason": "Flax example text encoder loading from subfolder vs textual inversion loader support. Related ecosystem area, but different fixes and code paths." + }, + { + "left": "pull_request:11529", + "right": "pull_request:11531", + "accept": false, + "reason": "One PR is effectively a no-content doc update placeholder, the other adds a variant argument to inpaint docs. No duplicate evidence." + }, + { + "left": "pull_request:11537", + "right": "pull_request:11736", + "accept": false, + "reason": "Torch.compile test addition for UNet vs quantizer compileability API. Different layers of the stack and not mergeable as one PR." + }, + { + "left": "pull_request:11556", + "right": "pull_request:11841", + "accept": false, + "reason": "Regional compilation docs vs batch inference docs. Both docs, but unrelated topics." + }, + { + "left": "pull_request:11556", + "right": "pull_request:12586", + "accept": false, + "reason": "Regional compilation docs vs docs sidebar sorting. Not the same change." + }, + { + "left": "pull_request:11564", + "right": "pull_request:11747", + "accept": false, + "reason": "Dependency addition for DreamBooth Flux vs HiDream license header fix. Entirely different changes." + }, + { + "left": "pull_request:11566", + "right": "pull_request:11812", + "accept": false, + "reason": "Chroma-as-FLUX variant implementation vs Flux Kontext pipeline/features. Both Flux-related, but distinct model variants and code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 216, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11635", + "pull_request:11636", + "pull_request:11655", + "pull_request:11660", + "pull_request:11681", + "pull_request:11684", + "pull_request:11698", + "pull_request:11703", + "pull_request:11716", + "pull_request:11728", + "pull_request:11744", + "pull_request:118", + "pull_request:11812", + "pull_request:1182", + "pull_request:1184", + "pull_request:11847", + "pull_request:11869", + "pull_request:11875", + "pull_request:11891", + "pull_request:11894", + "pull_request:11897", + "pull_request:119", + "pull_request:11920", + "pull_request:11955", + "pull_request:12062", + "pull_request:12109", + "pull_request:12115", + "pull_request:12236", + "pull_request:12244", + "pull_request:12315", + "pull_request:12337", + "pull_request:12360", + "pull_request:12398", + "pull_request:12424", + "pull_request:12438", + "pull_request:12586", + "pull_request:12637", + "pull_request:12705", + "pull_request:12848", + "pull_request:1713", + "pull_request:1868", + "pull_request:1903", + "pull_request:1939", + "pull_request:217", + "pull_request:312", + "pull_request:38", + "pull_request:59", + "pull_request:75" + ], + "soft_pairs": [ + "pull_request:11635|pull_request:11920", + "pull_request:11635|pull_request:11955", + "pull_request:11636|pull_request:11875", + "pull_request:11655|pull_request:11684", + "pull_request:11660|pull_request:12109", + "pull_request:11681|pull_request:12315", + "pull_request:11698|pull_request:12398", + "pull_request:11703|pull_request:12244", + "pull_request:11716|pull_request:12424", + "pull_request:11716|pull_request:12438", + "pull_request:11728|pull_request:12586", + "pull_request:11744|pull_request:12848", + "pull_request:118|pull_request:1903", + "pull_request:118|pull_request:59", + "pull_request:11812|pull_request:11875", + "pull_request:11812|pull_request:12337", + "pull_request:1182|pull_request:1713", + "pull_request:1184|pull_request:38", + "pull_request:1184|pull_request:75", + "pull_request:11847|pull_request:12637", + "pull_request:11847|pull_request:12705", + "pull_request:11869|pull_request:12236", + "pull_request:11875|pull_request:12398", + "pull_request:11891|pull_request:12360", + "pull_request:11894|pull_request:12062", + "pull_request:11897|pull_request:12115", + "pull_request:119|pull_request:1868", + "pull_request:119|pull_request:1939", + "pull_request:119|pull_request:217", + "pull_request:119|pull_request:312" + ], + "prepared_review_unit_hash": "747dbfb0b7ad3d9b8a30269c62fc44a5999a1c822491c4053e260fedcbe674bf", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 98685, + "estimated_input_tokens": 24672, + "estimated_eval_tokens": 49600 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: it mixes unrelated docs-only updates, pipeline feature additions, scheduler/test tweaks, and CI/docker changes. I do not see a single underlying duplicate bug/change spanning the set, so soft-edge candidates should be rejected.", + "confidence": 0.36, + "canonical_issue_reason": null, + "canonical_pr_reason": "No PR cleanly represents the whole cluster; if one representative is needed, PR 11698 is the strongest anchor because it is the largest substantive feature PR, has an explicit issue target, and adds a full pipeline/model stack rather than a narrow doc or test tweak.", + "best_issue_reason": null, + "best_pr_reason": "PR 11698 is the best single representative of a meaningful, self-contained change in this set. 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too broad to be the same underlying change." + }, + { + "left": "pull_request:11681", + "right": "pull_request:12315", + "accept": false, + "reason": "Model/device_map docs and tests clarifications vs a broad test refactor across many LoRA tests." + }, + { + "left": "pull_request:11698", + "right": "pull_request:12398", + "accept": false, + "reason": "Chroma pipeline implementation vs Mirage pipeline implementation; separate model families and code paths." + }, + { + "left": "pull_request:11703", + "right": "pull_request:12244", + "accept": false, + "reason": "Both are docs/optimization oriented, but one adds quant/offloading guidance and the other removes Flax references; unrelated changes." + }, + { + "left": "pull_request:11716", + "right": "pull_request:12424", + "accept": false, + "reason": "LoRA metadata handling vs docker image definition fixes; no shared bug/change." + }, + { + "left": "pull_request:11716", + "right": "pull_request:12438", + "accept": false, + "reason": "LoRA metadata handling vs pipeline loading offload_state_dict behavior; related ecosystem area but different concrete problem." + }, + { + "left": "pull_request:11728", + "right": "pull_request:12586", + "accept": false, + "reason": "Doc builder dependency install changes vs doc toctree sorting; unrelated." + }, + { + "left": "pull_request:11744", + "right": "pull_request:12848", + "accept": false, + "reason": "Training script metadata support vs adding ChromaInpaintPipeline; different artifacts and goals." + }, + { + "left": "pull_request:118", + "right": "pull_request:1903", + "accept": false, + "reason": "Old pipeline rename/fix vs later SD2 depth2img comment cleanup; not the same underlying change." + }, + { + "left": "pull_request:118", + "right": "pull_request:59", + "accept": false, + "reason": "Both very old, but one is a pipeline rename/fix and the other is a resnet merge; unrelated." + }, + { + "left": "pull_request:11812", + "right": "pull_request:11875", + "accept": false, + "reason": "Flux Kontext pipeline addition vs auto-pipeline registration; 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unrelated." + }, + { + "left": "pull_request:11847", + "right": "pull_request:12705", + "accept": false, + "reason": "Wan single-file example fix vs typo cleanup across assorted files; different scope and purpose." + }, + { + "left": "pull_request:11869", + "right": "pull_request:12236", + "accept": false, + "reason": "GGUF CUDA-kernel support vs enabling hub-provided flash-attn kernels; both kernel-related but distinct backends and code paths." + }, + { + "left": "pull_request:11875", + "right": "pull_request:12398", + "accept": false, + "reason": "Auto-pipeline registration for Kontext vs Mirage pipeline implementation; unrelated features." + }, + { + "left": "pull_request:11891", + "right": "pull_request:12360", + "accept": false, + "reason": "Chroma docs typo fix vs Chroma pipeline docstring/behavior clarification; both Chroma docs but different concrete edits." + }, + { + "left": "pull_request:11894", + "right": "pull_request:12062", + "accept": false, + "reason": "Dependency pinning for CI vs GPU CI container options; 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they are different concrete implementations." + }, + { + "left": "pull_request:2959", + "right": "pull_request:3846", + "accept": false, + "reason": "A UNet3D test correction and a random-module seeding fix are unrelated." + }, + { + "left": "pull_request:2968", + "right": "pull_request:823", + "accept": false, + "reason": "Both adjust pipeline behavior, but one fixes post-processing placement and the other fixes negative-prompt type handling/tests; different code-path problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 226, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:2983", + "pull_request:299", + "pull_request:3022", + "pull_request:3042", + "pull_request:3068", + "pull_request:3069", + "pull_request:3108", + "pull_request:312", + "pull_request:3126", + "pull_request:3166", + "pull_request:3187", + "pull_request:3230", + "pull_request:325", + "pull_request:3252", + "pull_request:327", + "pull_request:3294", + "pull_request:3318", + "pull_request:3326", + "pull_request:3331", + "pull_request:3334", + "pull_request:3337", + "pull_request:3341", + "pull_request:3433", + "pull_request:344", + "pull_request:3471", + "pull_request:3474", + "pull_request:3806", + "pull_request:3894", + "pull_request:3924", + "pull_request:4034", + "pull_request:41", + "pull_request:4172", + "pull_request:4215", + "pull_request:432", + "pull_request:4508", + "pull_request:4690", + "pull_request:4741", + "pull_request:4746", + "pull_request:5239", + "pull_request:5242", + "pull_request:5506", + "pull_request:75", + "pull_request:800", + "pull_request:826", + "pull_request:909", + "pull_request:972", + "pull_request:975" + ], + "soft_pairs": [ + "pull_request:2983|pull_request:4508", + "pull_request:299|pull_request:800", + "pull_request:3022|pull_request:3474", + "pull_request:3042|pull_request:3924", + "pull_request:3068|pull_request:909", + "pull_request:3069|pull_request:909", + "pull_request:3108|pull_request:4741", + "pull_request:3108|pull_request:972", + "pull_request:3108|pull_request:975", + "pull_request:312|pull_request:41", + "pull_request:312|pull_request:432", + "pull_request:312|pull_request:75", + "pull_request:3126|pull_request:4034", + "pull_request:3166|pull_request:3326", + "pull_request:3187|pull_request:3230", + "pull_request:3230|pull_request:3894", + "pull_request:3230|pull_request:4172", + "pull_request:3230|pull_request:5239", + "pull_request:3230|pull_request:5242", + "pull_request:325|pull_request:344", + "pull_request:3252|pull_request:3471", + "pull_request:3252|pull_request:3806", + "pull_request:327|pull_request:826", + "pull_request:3294|pull_request:5506", + "pull_request:3318|pull_request:4746", + "pull_request:3326|pull_request:3331", + "pull_request:3334|pull_request:4215", + "pull_request:3337|pull_request:4690", + "pull_request:3341|pull_request:3433" + ], + "prepared_review_unit_hash": "343c1f1476866205fddce8f967c0c9d2ad03f6f06b2cdbafd5d5f82b143a1849", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 29, + "serialized_chars": 94087, + "estimated_input_tokens": 23522, + "estimated_eval_tokens": 47300 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab bag of unrelated diffusers PRs: docs edits, type-hint cleanups, scheduler tweaks, example updates, and several distinct feature additions. 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It is not a universal canonical for the whole cluster, but it is the best single PR if one must be chosen.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7613", + "right": "pull_request:7615", + "accept": true, + "reason": "Same model-card standardization change for the SD15/SDXL LoRA training scripts; one looks like the final version of the same work." + }, + { + "left": "pull_request:5910", + "right": "pull_request:5911", + "accept": true, + "reason": "Same IPAdapterFull feature; 5911 is the merged follow-up/finalization of the same loader change." + }, + { + "left": "pull_request:6195", + "right": "pull_request:6721", + "accept": true, + "reason": "Both target the same AnimateDiff SDXL pipeline feature on the same issue and look like draft/final iterations of one implementation." + }, + { + "left": "pull_request:5299", + "right": "pull_request:5312", + "accept": true, + "reason": "Same documentation/typehint cleanup in diffusers/models; the diffs are overlapping refactors for the same maintenance task." + }, + { + "left": "pull_request:11426", + "right": "pull_request:11427", + "accept": true, + "reason": "Both add the same interpolation-mode option to closely related text-to-image training scripts and could plausibly have been one combined PR." + }, + { + "left": "pull_request:5065", + "right": "pull_request:5066", + "accept": true, + "reason": "Both are the same attention-processor typo fix family and overlap on the same underlying code change." + }, + { + "left": "pull_request:7865", + "right": "pull_request:7898", + "accept": false, + "reason": "They touch different tests and different model families; 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too broad to treat as duplicates." + }, + { + "left": "pull_request:9582", + "right": "pull_request:9583", + "accept": false, + "reason": "Pipeline output docs and import-utils docs are unrelated changes." + }, + { + "left": "pull_request:9582", + "right": "pull_request:9815", + "accept": false, + "reason": "No meaningful code-path overlap; one is pipeline output docs and the other is training-utils docs." + }, + { + "left": "pull_request:6766", + "right": "pull_request:6769", + "accept": false, + "reason": "Different utility modules and different path-handling patches." + }, + { + "left": "pull_request:6767", + "right": "pull_request:6769", + "accept": false, + "reason": "Separate module-level refactors; not the same underlying fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 238, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:11431", + "pull_request:11455", + "pull_request:11465", + "pull_request:11471", + "pull_request:11472", + "pull_request:11491", + "pull_request:11511", + "pull_request:11512", + "pull_request:2046", + "pull_request:2383", + "pull_request:2384", + "pull_request:3633", + "pull_request:3952", + "pull_request:4595", + "pull_request:4596", + "pull_request:4659", + "pull_request:4661", + "pull_request:5382", + "pull_request:5506", + "pull_request:5614", + "pull_request:5697", + "pull_request:5725", + "pull_request:5744", + "pull_request:5748", + "pull_request:5906", + "pull_request:5914", + "pull_request:6208", + "pull_request:6241", + "pull_request:6259", + "pull_request:6525", + "pull_request:6526", + "pull_request:6556", + "pull_request:6558", + "pull_request:6576", + "pull_request:6577", + "pull_request:6654", + "pull_request:6655", + "pull_request:7072", + "pull_request:7233", + "pull_request:7235", + "pull_request:8916", + "pull_request:8919", + "pull_request:8932", + "pull_request:9591", + "pull_request:9706", + "pull_request:9707", + "pull_request:9714", + "pull_request:9715" + ], + "soft_pairs": [ + "pull_request:4659|pull_request:4661", + "pull_request:7233|pull_request:7235", + "pull_request:4595|pull_request:4596", + "pull_request:9707|pull_request:9714", + "pull_request:5725|pull_request:5748", + "pull_request:5906|pull_request:5914", + "pull_request:6208|pull_request:6259", + "pull_request:6241|pull_request:6259", + "pull_request:5725|pull_request:5744", + "pull_request:6208|pull_request:6241", + "pull_request:5382|pull_request:5614", + "pull_request:11455|pull_request:11465", + "pull_request:9591|pull_request:9706", + "pull_request:6558|pull_request:6576", + "pull_request:6654|pull_request:6655", + "pull_request:8916|pull_request:8919", + "pull_request:11431|pull_request:11512", + "pull_request:6526|pull_request:6576", + "pull_request:9714|pull_request:9715", + "pull_request:6526|pull_request:6577", + "pull_request:6576|pull_request:6577", + "pull_request:9707|pull_request:9715", + "pull_request:11431|pull_request:11511", + "pull_request:5506|pull_request:5697", + "pull_request:11471|pull_request:11491", + "pull_request:11511|pull_request:11512", + "pull_request:2383|pull_request:2384", + "pull_request:3633|pull_request:3952", + "pull_request:8919|pull_request:8932", + "pull_request:6526|pull_request:6556", + "pull_request:6556|pull_request:6576", + "pull_request:2046|pull_request:3633", + "pull_request:11471|pull_request:11472", + "pull_request:2046|pull_request:3952", + "pull_request:6525|pull_request:6526", + "pull_request:7072|pull_request:7233", + "pull_request:11472|pull_request:11491", + "pull_request:7072|pull_request:7235" + ], + "prepared_review_unit_hash": "2fdbbc79135c34f36997578bfd61521d93bb07a69353fa52f82398d9fec338a9", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 38, + "serialized_chars": 102942, + "estimated_input_tokens": 25736, + "estimated_eval_tokens": 51728 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: it contains several small duplicate-like subclusters (docs cleanup, DoRA additions, torch.compile compatibility, test coverage) rather than one single underlying issue/feature. I accepted only pairs that look like the same concrete change; I rejected pairs that merely share a subsystem, an error message, or a broad feature theme.", + "confidence": 0.36, + "canonical_issue_reason": "No issue artifacts are present in this cluster.", + "canonical_pr_reason": "No single PR represents the whole cluster; the items split into unrelated subgroups (docs sweeps, training-script options, compile tests, and small bug fixes).", + "best_issue_reason": null, + "best_pr_reason": "No globally best PR for the whole cluster: the strongest matches are only within subclusters, not across the entire set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4659", + "right": "pull_request:4661", + "accept": true, + "reason": "Same SDXL long weighted prompt pipeline change; 4659 looks like an earlier/WIP version of the same feature." + }, + { + "left": "pull_request:7233", + "right": "pull_request:7235", + "accept": true, + "reason": "Same DoRA training feature for the SDXL DreamBooth LoRA script; 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not the same concrete change." + }, + { + "left": "pull_request:8916", + "right": "pull_request:8919", + "accept": false, + "reason": "Different model test files for different architectures; only the broad test-coverage theme matches." + }, + { + "left": "pull_request:11431", + "right": "pull_request:11512", + "accept": false, + "reason": "Both add torch.compile tests, but for different transformer models and separate code paths." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6576", + "accept": false, + "reason": "Both are compile-compatibility fixes, but for different training scripts and model setups." + }, + { + "left": "pull_request:9714", + "right": "pull_request:9715", + "accept": true, + "reason": "Same AuraFlow transformer docstring cleanup in the same file." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6577", + "accept": false, + "reason": "Same general compile-compatibility goal, but different scripts (ControlNet SDXL vs T2I Adapter SDXL) and distinct fixes." + }, + { + "left": "pull_request:6576", + "right": "pull_request:6577", + "accept": false, + "reason": "Both are SDXL training-script compile fixes, but they are separate model families and code paths." + }, + { + "left": "pull_request:9707", + "right": "pull_request:9715", + "accept": true, + "reason": "Same file and same docstring-refactor change family; these are duplicate edits to the AuraFlow transformer docs." + }, + { + "left": "pull_request:11431", + "right": "pull_request:11511", + "accept": false, + "reason": "Different transformer models and test files; only the broad compile-test pattern overlaps." + }, + { + "left": "pull_request:5506", + "right": "pull_request:5697", + "accept": true, + "reason": "Same PEFT/xformers bug fix in the attention processor code path; 5697 extends the same underlying fix pattern in the same file." + }, + { + "left": "pull_request:11471", + "right": "pull_request:11491", + "accept": false, + "reason": "Same interpolation setting theme, but different training scripts; they are separate feature additions rather than one duplicate change." + }, + { + "left": "pull_request:3633", + "right": "pull_request:3952", + "accept": false, + "reason": "Both pin huggingface-hub RC versions, but they target different versions and different dependency files." + }, + { + "left": "pull_request:8919", + "right": "pull_request:8932", + "accept": false, + "reason": "Both are new test files, but for unrelated models and coverage targets." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6556", + "accept": false, + "reason": "Both mention torch.compile compatibility, but they affect different training scripts and separate bugs." + }, + { + "left": "pull_request:6556", + "right": "pull_request:6576", + "accept": false, + "reason": "Different training scripts and different code paths, so they are not the same concrete fix." + }, + { + "left": "pull_request:2046", + "right": "pull_request:3633", + "accept": false, + "reason": "Both are temporary dependency-test PRs, but they test different Hugging Face Hub versions and even touch different workflow/setup contexts." + }, + { + "left": "pull_request:11471", + "right": "pull_request:11472", + "accept": false, + "reason": "Same interpolation feature family, but one is for DreamBooth SDXL and the other for Flux advanced training; not the same PR." + }, + { + "left": "pull_request:2046", + "right": "pull_request:3952", + "accept": false, + "reason": "Same test-pin pattern, but different RC versions and a broader dependency-table update in one case." + }, + { + "left": "pull_request:6525", + "right": "pull_request:6526", + "accept": false, + "reason": "Same compile-compatibility theme, but ControlNet SD and ControlNet SDXL are separate training scripts with separate fixes." + }, + { + "left": "pull_request:7072", + "right": "pull_request:7233", + "accept": false, + "reason": "Both add DoRA support, but one is the advanced DreamBooth LoRA script and the other is the base SDXL script; not the same concrete code path." + }, + { + "left": "pull_request:11472", + "right": "pull_request:11491", + "accept": false, + "reason": "Both add interpolation-mode support, but they are in different advanced training scripts and should not be merged as duplicates." + }, + { + "left": "pull_request:7072", + "right": "pull_request:7235", + "accept": false, + "reason": "The shared DoRA theme is too broad; these change different script families and one also touches docs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 239, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10299", + "pull_request:10316", + "pull_request:11449", + "pull_request:11492", + "pull_request:11782", + "pull_request:11783", + "pull_request:2825", + "pull_request:2826", + "pull_request:3201", + "pull_request:3237", + "pull_request:3265", + "pull_request:3285", + "pull_request:4629", + "pull_request:4659", + "pull_request:4661", + "pull_request:4899", + "pull_request:5938", + "pull_request:6526", + "pull_request:6532", + "pull_request:6534", + "pull_request:6556", + "pull_request:6558", + "pull_request:6559", + "pull_request:6569", + "pull_request:6577", + "pull_request:6654", + "pull_request:6655", + "pull_request:7603", + "pull_request:7797", + "pull_request:7803", + "pull_request:7804", + "pull_request:7833", + "pull_request:7846", + "pull_request:7849", + "pull_request:8283", + "pull_request:8335", + "pull_request:8773", + "pull_request:8810", + "pull_request:8864", + "pull_request:8916", + "pull_request:8932", + "pull_request:8973", + "pull_request:8976", + "pull_request:8985", + "pull_request:8987", + "pull_request:9706", + "pull_request:9707", + "pull_request:9714" + ], + "soft_pairs": [ + "pull_request:8932|pull_request:8987", + "pull_request:11782|pull_request:11783", + "pull_request:8810|pull_request:8864", + "pull_request:7797|pull_request:7803", + "pull_request:7797|pull_request:7804", + "pull_request:7797|pull_request:7833", + "pull_request:7797|pull_request:7846", + "pull_request:7803|pull_request:7804", + "pull_request:7803|pull_request:7833", + "pull_request:7803|pull_request:7846", + "pull_request:7804|pull_request:7833", + "pull_request:7804|pull_request:7846", + "pull_request:7833|pull_request:7846", + "pull_request:4629|pull_request:4659", + "pull_request:4629|pull_request:4661", + "pull_request:7797|pull_request:7849", + "pull_request:7803|pull_request:7849", + "pull_request:7804|pull_request:7849", + "pull_request:7833|pull_request:7849", + "pull_request:7846|pull_request:7849", + "pull_request:9706|pull_request:9707", + "pull_request:3201|pull_request:3265", + "pull_request:8773|pull_request:8976", + "pull_request:8283|pull_request:8335", + "pull_request:10299|pull_request:10316", + "pull_request:11449|pull_request:11492", + "pull_request:3237|pull_request:3285", + "pull_request:6559|pull_request:6654", + "pull_request:6559|pull_request:7603", + "pull_request:6559|pull_request:8283", + "pull_request:6654|pull_request:7603", + "pull_request:6654|pull_request:8283", + "pull_request:7603|pull_request:8283", + "pull_request:6526|pull_request:6558", + "pull_request:4899|pull_request:5938", + "pull_request:9706|pull_request:9714", + "pull_request:2825|pull_request:2826", + "pull_request:8916|pull_request:8932", + "pull_request:6526|pull_request:6532", + "pull_request:8973|pull_request:8985", + "pull_request:6556|pull_request:6577", + "pull_request:6569|pull_request:6655", + "pull_request:6569|pull_request:7603", + "pull_request:6526|pull_request:6534", + "pull_request:6532|pull_request:6558" + ], + "prepared_review_unit_hash": "d3805c25c6acde6bd3c707a642ed03dab04ab950563991bb34b16af258b5bd79", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 45, + "serialized_chars": 110811, + "estimated_input_tokens": 27703, + "estimated_eval_tokens": 55662 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is really several small duplicate subgroups, mostly around the same change repeated as replacement PRs or follow-up variants. I accepted only pairs that clearly target the same concrete file-level change; I rejected cross-script or same-theme-only matches, especially for test-size reductions and torch.compile compatibility updates.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents the whole cluster because it spans unrelated subtopics. If one representative must be chosen, PR 3285 is the best canonical anchor: it is a substantive core implementation change in src/diffusers with broader technical significance than the docs/test-only variants.", + "best_issue_reason": null, + "best_pr_reason": "PR 3285 is the strongest overall representative because it is a merged core code change with clear feature scope and central utility, whereas many other items are docs/test/example-specific or are just replacement variants of the same change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8932", + "right": "pull_request:8987", + "accept": false, + "reason": "Same general goal of shrinking fast tests, but they touch different model families and different test files, so this is not one concrete duplicate change." + }, + { + "left": "pull_request:11782", + "right": "pull_request:11783", + "accept": true, + "reason": "Same Dreambooth SD3 LoRA metadata/alpha change in the same files; this looks like a direct duplicate or follow-up variant of the same PR." + }, + { + "left": "pull_request:8810", + "right": "pull_request:8864", + "accept": true, + "reason": "Both add PAG support for SD ControlNet Img2Img on the same code path and files; this is the same feature work." + }, + { + "left": "pull_request:7797", + "right": "pull_request:7803", + "accept": false, + "reason": "Both reduce fast-test model sizes, but they are for different pipelines and different files, so they are not the same underlying change." + }, + { + "left": "pull_request:7797", + "right": "pull_request:7804", + "accept": false, + "reason": "Different test targets and model definitions; similar maintenance theme, but not the same concrete bug or change." + }, + { + "left": "pull_request:7797", + "right": "pull_request:7833", + "accept": false, + "reason": "These are separate fast-test reductions in different pipeline test files, so they should not be merged as duplicates." + }, + { + "left": "pull_request:7797", + "right": "pull_request:7846", + "accept": false, + "reason": "Same broad test optimization theme, but the affected pipeline and model setup are different." + }, + { + "left": "pull_request:7803", + "right": "pull_request:7804", + "accept": false, + "reason": "Both are small test-size reductions, but they touch different test modules and are not one code change." + }, + { + "left": "pull_request:7803", + "right": "pull_request:7833", + "accept": false, + "reason": "Different test files and pipeline models; same housekeeping category only." + }, + { + "left": "pull_request:7803", + "right": "pull_request:7846", + "accept": false, + "reason": "Not the same underlying issue: different fast-test model definitions in different files." + }, + { + "left": "pull_request:7804", + "right": "pull_request:7833", + "accept": false, + "reason": "These are separate test cleanups for different pipelines, not a single duplicate fix." + }, + { + "left": "pull_request:7804", + "right": "pull_request:7846", + "accept": false, + "reason": "Same general test shrink pattern, but different model and test file." + }, + { + "left": "pull_request:7833", + "right": "pull_request:7846", + "accept": false, + "reason": "Different fast tests for different audio pipelines; too broad to treat as one duplicate change." + }, + { + "left": "pull_request:4629", + "right": "pull_request:4659", + "accept": true, + "reason": "Same SDXL long weighted prompt pipeline update, with 4659 clearly replacing 4629." + }, + { + "left": "pull_request:4629", + "right": "pull_request:4661", + "accept": true, + "reason": "Both are the same long weighted prompt pipeline work; 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the diffs overlap on the same file and wording changes." + }, + { + "left": "pull_request:3201", + "right": "pull_request:3265", + "accept": true, + "reason": "Both are the same lpw_stable_diffusion revert/update sequence on the same community pipeline file." + }, + { + "left": "pull_request:8773", + "right": "pull_request:8976", + "accept": true, + "reason": "Same LoraBaseMixin revert; 8976 is the broader follow-up revert of the same underlying change." + }, + { + "left": "pull_request:8283", + "right": "pull_request:8335", + "accept": false, + "reason": "Both modularize inference/validation in text-to-image LoRA scripts, but they are different training scripts and different code paths." + }, + { + "left": "pull_request:10299", + "right": "pull_request:10316", + "accept": true, + "reason": "Same docs fix removing the generator argument from from_pretrained examples; both patch the same kind of incorrect usage." + }, + { + "left": "pull_request:11449", + "right": "pull_request:11492", + "accept": true, + "reason": "Both set Lanczos as the default interpolation for image resizing in similar training scripts; this is the same underlying behavior change." + }, + { + "left": "pull_request:3237", + "right": "pull_request:3285", + "accept": true, + "reason": "Same disk-offload feature work with overlapping core code paths; 3285 is the narrower implementation slice of the same change." + }, + { + "left": "pull_request:6559", + "right": "pull_request:6654", + "accept": false, + "reason": "Both touch training/inference refactors, but they are different scripts and not the same concrete fix." + }, + { + "left": "pull_request:6559", + "right": "pull_request:7603", + "accept": false, + "reason": "Different training scripts and different validation/inference implementations; same pattern, not same patch." + }, + { + "left": "pull_request:6559", + "right": "pull_request:8283", + "accept": false, + "reason": "Different example scripts and different refactors, so not a duplicate code change." + }, + { + "left": "pull_request:6654", + "right": "pull_request:7603", + "accept": false, + "reason": "These are separate modularization changes in different example scripts." + }, + { + "left": "pull_request:6654", + "right": "pull_request:8283", + "accept": false, + "reason": "Different scripts and different inference flows; too broad to merge as duplicates." + }, + { + "left": "pull_request:7603", + "right": "pull_request:8283", + "accept": false, + "reason": "Same general modularization theme, but not the same training script or code path." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6558", + "accept": false, + "reason": "Both are torch.compile compatibility fixes, but they target different example scripts and different code paths." + }, + { + "left": "pull_request:4899", + "right": "pull_request:5938", + "accept": true, + "reason": "Same ControlNet LoRA support feature with overlapping core files; 5938 looks like the follow-up/continued version of the same work." + }, + { + "left": "pull_request:9706", + "right": "pull_request:9714", + "accept": true, + "reason": "Same auraflow docstring cleanup in the same transformer file; this is effectively the same change." + }, + { + "left": "pull_request:2825", + "right": "pull_request:2826", + "accept": true, + "reason": "Same offset_noise addition to Dreambooth training; the diffs are the same concrete feature patch." + }, + { + "left": "pull_request:8916", + "right": "pull_request:8932", + "accept": false, + "reason": "Both add model tests, but for different transformer models and different files, so they are unrelated duplicates." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6532", + "accept": false, + "reason": "These are torch.compile compat changes for different training scripts, not one shared code-path bug." + }, + { + "left": "pull_request:8973", + "right": "pull_request:8985", + "accept": true, + "reason": "Both reduce the Lumina test model size in the same test file family; they are close enough to be one combined cleanup PR." + }, + { + "left": "pull_request:6556", + "right": "pull_request:6577", + "accept": false, + "reason": "Same compile-compat theme, but different example scripts and no shared concrete fix." + }, + { + "left": "pull_request:6569", + "right": "pull_request:6655", + "accept": false, + "reason": "Different scripts and different validation/inference refactors; not the same underlying change." + }, + { + "left": "pull_request:6569", + "right": "pull_request:7603", + "accept": false, + "reason": "These are separate modularization efforts in different training examples." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6534", + "accept": false, + "reason": "Different training scripts and different compile-compat touchpoints; too broad to merge." + }, + { + "left": "pull_request:6532", + "right": "pull_request:6558", + "accept": false, + "reason": "Both address compile compatibility, but they are distinct example scripts with different fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 240, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10268", + "pull_request:10386", + "pull_request:10387", + "pull_request:10781", + "pull_request:11421", + "pull_request:11451", + "pull_request:11472", + "pull_request:11537", + "pull_request:11552", + "pull_request:12269", + "pull_request:12454", + "pull_request:1346", + "pull_request:1347", + "pull_request:1788", + "pull_request:2094", + "pull_request:3458", + "pull_request:3460", + "pull_request:4499", + "pull_request:4500", + "pull_request:4501", + "pull_request:4502", + "pull_request:5299", + "pull_request:5312", + "pull_request:5391", + "pull_request:5833", + "pull_request:5834", + "pull_request:6207", + "pull_request:6266", + "pull_request:6534", + "pull_request:6558", + "pull_request:6559", + "pull_request:6654", + "pull_request:6655", + "pull_request:6940", + "pull_request:6942", + "pull_request:6944", + "pull_request:6947", + "pull_request:7603", + "pull_request:7797", + "pull_request:7803", + "pull_request:7804", + "pull_request:7833", + "pull_request:8283", + "pull_request:8335", + "pull_request:8973", + "pull_request:9083", + "pull_request:9706", + "pull_request:9715" + ], + "soft_pairs": [ + "pull_request:1346|pull_request:1347", + "pull_request:6207|pull_request:6266", + "pull_request:6534|pull_request:6558", + "pull_request:1788|pull_request:2094", + "pull_request:10386|pull_request:10387", + "pull_request:3458|pull_request:3460", + "pull_request:4499|pull_request:4500", + "pull_request:4499|pull_request:4501", + "pull_request:4499|pull_request:4502", + "pull_request:4500|pull_request:4501", + "pull_request:4500|pull_request:4502", + "pull_request:4501|pull_request:4502", + "pull_request:6942|pull_request:6944", + "pull_request:5833|pull_request:5834", + "pull_request:6940|pull_request:6944", + "pull_request:6942|pull_request:6947", + "pull_request:6944|pull_request:6947", + "pull_request:7797|pull_request:8973", + "pull_request:7803|pull_request:8973", + "pull_request:7804|pull_request:8973", + "pull_request:7833|pull_request:8973", + "pull_request:11421|pull_request:11472", + "pull_request:11451|pull_request:11552", + "pull_request:10268|pull_request:9083", + "pull_request:5299|pull_request:5391", + "pull_request:5312|pull_request:5391", + "pull_request:12269|pull_request:12454", + "pull_request:11451|pull_request:11537", + "pull_request:6559|pull_request:8335", + "pull_request:6654|pull_request:8335", + "pull_request:6655|pull_request:8335", + "pull_request:9706|pull_request:9715", + "pull_request:6559|pull_request:6655", + "pull_request:6655|pull_request:7603", + "pull_request:6655|pull_request:8283", + "pull_request:10268|pull_request:10781" + ], + "prepared_review_unit_hash": "244b6941e6f3e5e5734fad2abed774de1323ba02d7c2efa21534421b6291be97", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 36, + "serialized_chars": 103523, + "estimated_input_tokens": 25881, + "estimated_eval_tokens": 52018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is not one unified duplicate cluster; it contains several true duplicate PR pairs plus many merely similar follow-ups or same-subsystem changes. I accepted only pairs that clearly target the same concrete code path or are effectively the same change, and rejected broader overlaps.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR across the whole set; the items span multiple unrelated feature branches and follow-up cleanups rather than one underlying change.", + "best_issue_reason": null, + "best_pr_reason": "No single best PR globally for the same reason; there are several separate duplicate groups, not one dominant representative.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1346", + "right": "pull_request:1347", + "accept": false, + "reason": "Both touch the same README, but one fixes a spelling/example snippet and the other fixes a missing-directory error; different underlying issues." + }, + { + "left": "pull_request:6207", + "right": "pull_request:6266", + "accept": false, + "reason": "Same general deprecation cleanup, but 6207 removes the helper across multiple scripts while 6266 is a separate follow-up in one script; not the same concrete change." + }, + { + "left": "pull_request:6534", + "right": "pull_request:6558", + "accept": false, + "reason": "Both address torch.compile compatibility, but they target different training scripts and code paths." + }, + { + "left": "pull_request:1788", + "right": "pull_request:2094", + "accept": true, + "reason": "Same DDIM scheduler bug around prediction_type='sample'; 2094 is a direct refinement of the same code path." + }, + { + "left": "pull_request:10386", + "right": "pull_request:10387", + "accept": true, + "reason": "These appear to be the same PR/content duplicated exactly for the same new example file." + }, + { + "left": "pull_request:3458", + "right": "pull_request:3460", + "accept": true, + "reason": "Both update stable_diffusion_inpaint for the same cross_attention_kwargs / LoRA-scale support path." + }, + { + "left": "pull_request:4499", + "right": "pull_request:4500", + "accept": true, + "reason": "Same SDXL reference example change duplicated across the same files." + }, + { + "left": "pull_request:4499", + "right": "pull_request:4501", + "accept": true, + "reason": "Same SDXL reference example change duplicated across the same files." + }, + { + "left": "pull_request:4499", + "right": "pull_request:4502", + "accept": true, + "reason": "Same SDXL reference example change duplicated across the same files." + }, + { + "left": "pull_request:4500", + "right": "pull_request:4501", + "accept": true, + "reason": "Exact same SDXL reference example content." + }, + { + "left": "pull_request:4500", + "right": "pull_request:4502", + "accept": true, + "reason": "Exact same SDXL reference example content." + }, + { + "left": "pull_request:4501", + "right": "pull_request:4502", + "accept": true, + "reason": "Exact same SDXL reference example content." + }, + { + "left": "pull_request:6942", + "right": "pull_request:6944", + "accept": false, + "reason": "Both are model-card standardization work, but for different training scripts and outputs; not the same change." + }, + { + "left": "pull_request:5833", + "right": "pull_request:5834", + "accept": false, + "reason": "These do not show the same concrete fix; one is docs-only and the other changes single-file import paths." + }, + { + "left": "pull_request:6940", + "right": "pull_request:6944", + "accept": false, + "reason": "Same broad model-card refactor theme, but different scripts and different artifacts." + }, + { + "left": "pull_request:6942", + "right": "pull_request:6947", + "accept": false, + "reason": "Different training scripts/model-card targets; too broad to treat as duplicates." + }, + { + "left": "pull_request:6944", + "right": "pull_request:6947", + "accept": false, + "reason": "Different scripts and model-card outputs; related cleanup, not the same change." + }, + { + "left": "pull_request:7797", + "right": "pull_request:8973", + "accept": false, + "reason": "Both reduce fast-test model sizes, but for different pipeline tests and models." + }, + { + "left": "pull_request:7803", + "right": "pull_request:8973", + "accept": false, + "reason": "Different fast-test targets; same optimization theme, not the same bug/change." + }, + { + "left": "pull_request:7804", + "right": "pull_request:8973", + "accept": false, + "reason": "Different fast-test targets; same optimization theme, not the same bug/change." + }, + { + "left": "pull_request:7833", + "right": "pull_request:8973", + "accept": false, + "reason": "Different fast-test targets; same optimization theme, not the same bug/change." + }, + { + "left": "pull_request:11421", + "right": "pull_request:11472", + "accept": false, + "reason": "Both set LANCZOS defaults, but in different training scripts with different pipelines." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11552", + "accept": false, + "reason": "Both add torch.compile tests, but for different model classes and code paths." + }, + { + "left": "pull_request:10268", + "right": "pull_request:9083", + "accept": false, + "reason": "Single-file support for different transformers (Mochi vs Flux); same subsystem, different concrete changes." + }, + { + "left": "pull_request:5299", + "right": "pull_request:5391", + "accept": false, + "reason": "Both improve docs/typehints, but they touch different sets of model files and are not the same change." + }, + { + "left": "pull_request:5312", + "right": "pull_request:5391", + "accept": false, + "reason": "Same broad documentation cleanup area, but not the same concrete fix." + }, + { + "left": "pull_request:12269", + "right": "pull_request:12454", + "accept": true, + "reason": "Both implement Flux Kontext modular support across the same modular-pipeline code paths; they look like the same feature/change." + }, + { + "left": "pull_request:11451", + "right": "pull_request:11537", + "accept": false, + "reason": "Both add torch.compile tests, but for different models and test modules." + }, + { + "left": "pull_request:6559", + "right": "pull_request:8335", + "accept": false, + "reason": "Both refactor training-time inference flow, but in different scripts with different training setups." + }, + { + "left": "pull_request:6654", + "right": "pull_request:8335", + "accept": false, + "reason": "Different training scripts and inference flows; related refactor, not the same change." + }, + { + "left": "pull_request:6655", + "right": "pull_request:8335", + "accept": false, + "reason": "Different training scripts and inference flows; related refactor, not the same change." + }, + { + "left": "pull_request:9706", + "right": "pull_request:9715", + "accept": true, + "reason": "Same auraflow_transformer_2d docstring cleanup in the same file; one is a refinement/duplicate of the other." + }, + { + "left": "pull_request:6559", + "right": "pull_request:6655", + "accept": false, + "reason": "Both are modularize-inference changes, but they target different scripts and model variants." + }, + { + "left": "pull_request:6655", + "right": "pull_request:7603", + "accept": false, + "reason": "Different example scripts and training workflows; same pattern, not the same change." + }, + { + "left": "pull_request:6655", + "right": "pull_request:8283", + "accept": false, + "reason": "Different example scripts and training workflows; same pattern, not the same change." + }, + { + "left": "pull_request:10268", + "right": "pull_request:10781", + "accept": false, + "reason": "Single-file support for different models (Mochi vs Lumina2); same feature class, different concrete code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 241, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10288", + "pull_request:10504", + "pull_request:10505", + "pull_request:11407", + "pull_request:11421", + "pull_request:11471", + "pull_request:11476", + "pull_request:11492", + "pull_request:11537", + "pull_request:11552", + "pull_request:11744", + "pull_request:11782", + "pull_request:121", + "pull_request:12387", + "pull_request:12439", + "pull_request:2046", + "pull_request:252", + "pull_request:2602", + "pull_request:3197", + "pull_request:3201", + "pull_request:3265", + "pull_request:3952", + "pull_request:6119", + "pull_request:6231", + "pull_request:6526", + "pull_request:6532", + "pull_request:6550", + "pull_request:6555", + "pull_request:6556", + "pull_request:6559", + "pull_request:6569", + "pull_request:6577", + "pull_request:6654", + "pull_request:6944", + "pull_request:7615", + "pull_request:7797", + "pull_request:7803", + "pull_request:7804", + "pull_request:7833", + "pull_request:8283", + "pull_request:8335", + "pull_request:8985", + "pull_request:9083", + "pull_request:9257", + "pull_request:9473", + "pull_request:9592", + "pull_request:9707" + ], + "soft_pairs": [ + "pull_request:11744|pull_request:11782", + "pull_request:6944|pull_request:7615", + "pull_request:2602|pull_request:3952", + "pull_request:11537|pull_request:11552", + "pull_request:10288|pull_request:9083", + "pull_request:6526|pull_request:6555", + "pull_request:6532|pull_request:6577", + "pull_request:9257|pull_request:9473", + "pull_request:12387|pull_request:12439", + "pull_request:3197|pull_request:3201", + "pull_request:3197|pull_request:3265", + "pull_request:6569|pull_request:8335", + "pull_request:6119|pull_request:6231", + "pull_request:11471|pull_request:11492", + "pull_request:7797|pull_request:8985", + "pull_request:7803|pull_request:8985", + "pull_request:7804|pull_request:8985", + "pull_request:7833|pull_request:8985", + "pull_request:11421|pull_request:11471", + "pull_request:6550|pull_request:6556", + "pull_request:6559|pull_request:6569", + "pull_request:6569|pull_request:6654", + "pull_request:6569|pull_request:8283", + "pull_request:9592|pull_request:9707", + "pull_request:2046|pull_request:2602", + "pull_request:10504|pull_request:10505", + "pull_request:11407|pull_request:11476", + "pull_request:121|pull_request:252" + ], + "prepared_review_unit_hash": "fb6af76d9774c6a6c613965551bc7d0d9ffdc0cb7175bc8eb26242dfa5fe7f96", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 101050, + "estimated_input_tokens": 25263, + "estimated_eval_tokens": 50782 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are near-matches by theme but not true duplicates; only the exact same-content reapply/revert pair and the identical test-print cleanup pair look like real duplicates.", + "confidence": 0.78, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10505 is the cleanest representative: it has the exact same diff as 10504 in the same test files, and it is the merged copy.", + "best_issue_reason": null, + "best_pr_reason": "PR 10505 is the strongest overall representative because it is an exact duplicate with the same patch and merged status, making it the clearest canonical PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11744", + "right": "pull_request:11782", + "accept": false, + "reason": "Same family of LoRA metadata work, but different scripts and different fixes; not the same concrete change." + }, + { + "left": "pull_request:6944", + "right": "pull_request:7615", + "accept": false, + "reason": "Both standardize model cards, but they target different training scripts and are separate changes." + }, + { + "left": "pull_request:2602", + "right": "pull_request:3952", + "accept": false, + "reason": "Both are temporary dependency-pin tests, but they update different release versions and are not the same change." + }, + { + "left": "pull_request:11537", + "right": "pull_request:11552", + "accept": false, + "reason": "Both add torch.compile coverage, but for different model classes; not the same bug or patch." + }, + { + "left": "pull_request:10288", + "right": "pull_request:9083", + "accept": false, + "reason": "Both touch Flux single-file support, but one adds variants and the other adds the transformer loader; separate changes." + }, + { + "left": "pull_request:6526", + "right": "pull_request:6555", + "accept": false, + "reason": "Different training scripts and different compile-compat fixes; related, but not duplicate." + }, + { + "left": "pull_request:6532", + "right": "pull_request:6577", + "accept": false, + "reason": "Both are torch.compile compatibility work, but they fix different example scripts and code paths." + }, + { + "left": "pull_request:9257", + "right": "pull_request:9473", + "accept": false, + "reason": "Different Flux DreamBooth fixes: one changes prompt tokenization, the other adjusts optimizer LR handling." + }, + { + "left": "pull_request:12387", + "right": "pull_request:12439", + "accept": false, + "reason": "Both add kernels-backed attention support, but for different backend combinations and code paths." + }, + { + "left": "pull_request:3197", + "right": "pull_request:3201", + "accept": false, + "reason": "3201 is a revert of 3197, not the same underlying change." + }, + { + "left": "pull_request:3197", + "right": "pull_request:3265", + "accept": true, + "reason": "Same lpw_stable_diffusion patch content; 3265 re-applies the exact change after the revert." + }, + { + "left": "pull_request:6569", + "right": "pull_request:8335", + "accept": false, + "reason": "Both modularize validation/inference, but for different training examples and not the same concrete change." + }, + { + "left": "pull_request:6119", + "right": "pull_request:6231", + "accept": false, + "reason": "Both address fp16 LoRA training, but they modify different scripts and are separate per-entrypoint fixes." + }, + { + "left": "pull_request:11471", + "right": "pull_request:11492", + "accept": false, + "reason": "Same interpolation idea, but applied to different DreamBooth scripts; not one duplicate patch." + }, + { + "left": "pull_request:7797", + "right": "pull_request:8985", + "accept": false, + "reason": "Different fast-test pipelines with different reduced dummy models; same optimization goal, not same change." + }, + { + "left": "pull_request:7803", + "right": "pull_request:8985", + "accept": false, + "reason": "Different test pipeline and model reduction, so not the same patch." + }, + { + "left": "pull_request:7804", + "right": "pull_request:8985", + "accept": false, + "reason": "Different Amused test files and dummy component changes; not a duplicate." + }, + { + "left": "pull_request:7833", + "right": "pull_request:8985", + "accept": false, + "reason": "Different AudioLDM test reduction; separate test-specific change." + }, + { + "left": "pull_request:11421", + "right": "pull_request:11471", + "accept": false, + "reason": "Same interpolation default theme, but different scripts and independent edits." + }, + { + "left": "pull_request:6550", + "right": "pull_request:6556", + "accept": false, + "reason": "Different training variants and compile-compat changes; not the same concrete bug fix." + }, + { + "left": "pull_request:6559", + "right": "pull_request:6569", + "accept": false, + "reason": "Both touch validation/inference scaffolding, but for different examples and different refactors." + }, + { + "left": "pull_request:6569", + "right": "pull_request:6654", + "accept": false, + "reason": "Different example scripts; related pattern, but not the same underlying change." + }, + { + "left": "pull_request:9592", + "right": "pull_request:9707", + "accept": false, + "reason": "Both are docstring refactors in different model files, not duplicates." + }, + { + "left": "pull_request:2046", + "right": "pull_request:2602", + "accept": false, + "reason": "Different temporary dependency test versions; same testing pattern, but not the same change." + }, + { + "left": "pull_request:10504", + "right": "pull_request:10505", + "accept": true, + "reason": "Identical diff in the same test files; 10505 is effectively the duplicate merged copy of 10504." + }, + { + "left": "pull_request:11407", + "right": "pull_request:11476", + "accept": false, + "reason": "Both are typo/doc cleanup PRs, but they span different files and unrelated edits." + }, + { + "left": "pull_request:121", + "right": "pull_request:252", + "accept": false, + "reason": "Both update README examples, but they are different content and different changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 242, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1157", + "pull_request:1186", + "pull_request:11920", + "pull_request:11955", + "pull_request:12142", + "pull_request:12143", + "pull_request:12307", + "pull_request:13115", + "pull_request:13254", + "pull_request:13315", + "pull_request:13335", + "pull_request:2812", + "pull_request:2813", + "pull_request:326", + "pull_request:327", + "pull_request:3554", + "pull_request:3555", + "pull_request:4022", + "pull_request:4684", + "pull_request:5828", + "pull_request:6261", + "pull_request:6262", + "pull_request:6263", + "pull_request:6264", + "pull_request:6265", + "pull_request:6267", + "pull_request:6908", + "pull_request:6909", + "pull_request:6910", + "pull_request:6939", + "pull_request:6940", + "pull_request:6942", + "pull_request:6944", + "pull_request:6947", + "pull_request:7692", + "pull_request:7746", + "pull_request:7876", + "pull_request:7903", + "pull_request:8064", + "pull_request:8426", + "pull_request:8427", + "pull_request:8816", + "pull_request:8820", + "pull_request:8946", + "pull_request:9591", + "pull_request:9592", + "pull_request:9593", + "pull_request:9707" + ], + "soft_pairs": [ + "pull_request:12307|pull_request:13115", + "pull_request:2812|pull_request:2813", + "pull_request:3554|pull_request:3555", + "pull_request:8816|pull_request:8820", + "pull_request:12142|pull_request:12143", + "pull_request:326|pull_request:327", + "pull_request:6908|pull_request:6910", + "pull_request:6909|pull_request:6910", + "pull_request:6939|pull_request:6940", + "pull_request:6262|pull_request:6263", + "pull_request:6262|pull_request:6264", + "pull_request:6263|pull_request:6264", + "pull_request:6908|pull_request:6909", + "pull_request:6939|pull_request:6942", + "pull_request:6939|pull_request:6944", + "pull_request:4022|pull_request:4684", + "pull_request:5828|pull_request:7746", + "pull_request:6261|pull_request:6262", + "pull_request:6261|pull_request:6263", + "pull_request:6261|pull_request:6264", + "pull_request:6262|pull_request:6267", + "pull_request:6263|pull_request:6267", + "pull_request:6264|pull_request:6267", + "pull_request:7903|pull_request:8946", + "pull_request:8064|pull_request:8946", + "pull_request:8426|pull_request:8427", + "pull_request:6940|pull_request:6942", + "pull_request:7692|pull_request:7876", + "pull_request:9592|pull_request:9593", + "pull_request:6261|pull_request:6267", + "pull_request:6265|pull_request:6267", + "pull_request:6939|pull_request:6947", + "pull_request:6940|pull_request:6947", + "pull_request:9591|pull_request:9707", + "pull_request:1157|pull_request:1186", + "pull_request:11920|pull_request:11955", + "pull_request:13254|pull_request:13315", + "pull_request:13254|pull_request:13335" + ], + "prepared_review_unit_hash": "155add5443c79604821105006f29fa128234062fd220ba1907f7aa310ba0b4aa", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 38, + "serialized_chars": 110612, + "estimated_input_tokens": 27653, + "estimated_eval_tokens": 55562 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated PRs across different features/docs/tests. I only accepted pairs that are clearly the same concrete change with near-identical diffs; most other soft edges are false positives from shared subsystems or similar titles.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "No issue artifacts are present. If forced to pick a canonical PR representative, #8820 is the strongest: it is merged, has a clear title, and its diff cleanly implements the concrete PAG controlnet addition.", + "best_issue_reason": null, + "best_pr_reason": "#8820 is the best overall PR candidate in this set: merged, clearly scoped, and more representative than vague refactor/docs-only PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12307", + "right": "pull_request:13115", + "accept": false, + "reason": "Related modular-pipeline cleanup, but not the same underlying change; 13115 is a narrower export/init tweak, not a duplicate of 12307." + }, + { + "left": "pull_request:2812", + "right": "pull_request:2813", + "accept": true, + "reason": "Same Stable unCLIP docs edit with effectively identical diff and title; clear duplicate." + }, + { + "left": "pull_request:3554", + "right": "pull_request:3555", + "accept": true, + "reason": "Same Moreh/textual inversion bundle; diffs and touched files are effectively identical." + }, + { + "left": "pull_request:8816", + "right": "pull_request:8820", + "accept": true, + "reason": "Both implement PAG support for sd15 controlnet in the same code path and file set; 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Same broad area, but not the same concrete change." + }, + { + "left": "pull_request:6264", + "right": "pull_request:6265", + "accept": false, + "reason": "Different refactors: SAG versus GLIGEN. They are separate moves out of stable_diffusion." + }, + { + "left": "pull_request:10678", + "right": "pull_request:10784", + "accept": false, + "reason": "Similar input-validation fixes, but they apply to different pipelines and files; not a duplicate change." + }, + { + "left": "pull_request:8946", + "right": "pull_request:9131", + "accept": false, + "reason": "Unrelated changes: one is a test expectation tweak, the other is a dependency pin in setup.py." + }, + { + "left": "pull_request:6261", + "right": "pull_request:6265", + "accept": false, + "reason": "Different refactors: Attend-and-Excite versus GLIGEN. Same refactor theme, but not the same patch." + }, + { + "left": "pull_request:386", + "right": "pull_request:388", + "accept": false, + "reason": "Both are early pipeline docs/implementation work, but they introduce different pipelines and content." + }, + { + "left": "pull_request:5201", + "right": "pull_request:5506", + "accept": false, + "reason": "Both modify attention code, but one is LoRA offload/deprecation behavior and the other is PEFT/xformers argument handling; distinct fixes." + }, + { + "left": "pull_request:10464", + "right": "pull_request:10465", + "accept": true, + "reason": "Same NPU FLUX adaptation; 10465 is a narrower slice of the same code-path change." + }, + { + "left": "pull_request:7131", + "right": "pull_request:7451", + "accept": false, + "reason": "Both are typo fixes, but they cover different documentation areas and files rather than the same underlying change." + }, + { + "left": "pull_request:10849", + "right": "pull_request:10852", + "accept": true, + "reason": "Same remote VAE template file and same feature; 10852 is a small follow-up fix to the template introduced by 10849." + }, + { + "left": "pull_request:1087", + "right": "pull_request:2526", + "accept": false, + "reason": "Both are test-stability changes, but they touch different pipelines and expectations; not the same bug." + }, + { + "left": "pull_request:1131", + "right": "pull_request:831", + "accept": false, + "reason": "Different release bump PRs with different version targets and unrelated scheduler edits; not duplicates." + }, + { + "left": "pull_request:1210", + "right": "pull_request:2526", + "accept": false, + "reason": "Both are slow-test fixes, but they address different tests and code paths." + }, + { + "left": "pull_request:13071", + "right": "pull_request:13082", + "accept": false, + "reason": "Separate model test refactors for different model families (Flux2 vs Wan), not the same change." + }, + { + "left": "pull_request:1425", + "right": "pull_request:408", + "accept": false, + "reason": "Both are typo cleanup PRs, but they modify different docs/pages and are not the same patch." + }, + { + "left": "pull_request:17", + "right": "pull_request:408", + "accept": false, + "reason": "Same general typo-fix theme, but these are different eras and different documentation scopes." + }, + { + "left": "pull_request:2271", + "right": "pull_request:2526", + "accept": false, + "reason": "Both adjust slow-test expectations, but they are for different pipelines and failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 248, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:1131", + "pull_request:12117", + "pull_request:12225", + "pull_request:12521", + "pull_request:12562", + "pull_request:13069", + "pull_request:13082", + "pull_request:1415", + "pull_request:1490", + "pull_request:2290", + "pull_request:2388", + "pull_request:2446", + "pull_request:2539", + "pull_request:2757", + "pull_request:2864", + "pull_request:2925", + "pull_request:3099", + "pull_request:325", + "pull_request:327", + "pull_request:333", + "pull_request:335", + "pull_request:349", + "pull_request:359", + "pull_request:360", + "pull_request:3625", + "pull_request:3676", + "pull_request:4330", + "pull_request:4472", + "pull_request:4612", + "pull_request:4652", + "pull_request:6017", + "pull_request:6018", + "pull_request:61", + "pull_request:63", + "pull_request:6647", + "pull_request:6909", + "pull_request:6910", + "pull_request:6939", + "pull_request:7903", + "pull_request:8064", + "pull_request:831", + "pull_request:8470", + "pull_request:8478", + "pull_request:8479", + "pull_request:912", + "pull_request:9131", + "pull_request:9760" + ], + "soft_pairs": [ + "pull_request:2864|pull_request:2925", + "pull_request:3625|pull_request:3676", + "pull_request:3676|pull_request:6017", + "pull_request:3676|pull_request:6018", + "pull_request:4330|pull_request:4472", + "pull_request:4652|pull_request:6647", + "pull_request:6017|pull_request:6018", + "pull_request:61|pull_request:63", + "pull_request:8470|pull_request:9760", + "pull_request:8478|pull_request:8479", + "pull_request:12117|pull_request:12225", + "pull_request:327|pull_request:335", + "pull_request:7903|pull_request:9131", + "pull_request:8064|pull_request:9131", + "pull_request:6910|pull_request:6939", + "pull_request:325|pull_request:333", + "pull_request:359|pull_request:360", + "pull_request:335|pull_request:349", + "pull_request:6909|pull_request:6939", + "pull_request:12521|pull_request:12562", + "pull_request:1131|pull_request:1490", + "pull_request:1131|pull_request:912", + "pull_request:13069|pull_request:13082", + "pull_request:1415|pull_request:2757", + "pull_request:1490|pull_request:831", + "pull_request:2290|pull_request:2446", + "pull_request:2388|pull_request:4612", + "pull_request:2539|pull_request:3099" + ], + "prepared_review_unit_hash": "2a5e3cad499f869e12ed91eb9ec45f227fc8fbe0b4db1a0d6ba7ded1478a7942", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 96258, + "estimated_input_tokens": 24065, + "estimated_eval_tokens": 48386 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a fragmented mix of unrelated PRs; only a couple of edges look like true duplicates, especially the HunyuanDiT controlnet/pipeline pair and the small QwenImage doc-builder test trio. Most other soft edges are just same subsystem/docs/version churn and should be rejected.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents the whole cluster; the strongest duplicate-like anchor is the HunyuanDiT controlnet/pipeline pair (8478/8479), which has near-identical files and title.", + "best_issue_reason": null, + "best_pr_reason": "PR 8478 is the clearest representative of a true duplicate pair because 8479 mirrors the same HunyuanDiT controlnet/pipeline feature and file set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2864", + "right": "pull_request:2925", + "accept": false, + "reason": "Both are docs overview tweaks, but they target different pages/files and are not the same change." + }, + { + "left": "pull_request:3625", + "right": "pull_request:3676", + "accept": false, + "reason": "Doc-builder workflow test vs docs index heading edit; related theme, but not the same concrete change." + }, + { + "left": "pull_request:3676", + "right": "pull_request:6017", + "accept": true, + "reason": "Both are the same doc-builder test pattern in docs/source/en/index.md, with only the heading text varied." + }, + { + "left": "pull_request:3676", + "right": "pull_request:6018", + "accept": true, + "reason": "Same docs/index.md test artifact and same underlying doc-builder test intent." + }, + { + "left": "pull_request:4330", + "right": "pull_request:4472", + "accept": false, + "reason": "Unrelated README edits in different examples; not the same bug or change." + }, + { + "left": "pull_request:4652", + "right": "pull_request:6647", + "accept": false, + "reason": "Different test targets in different model/pipeline areas; same broad repository area only." + }, + { + "left": "pull_request:6017", + "right": "pull_request:6018", + "accept": true, + "reason": "Both are variants of the same docs/index.md doc-builder test edit and could be combined." + }, + { + "left": "pull_request:61", + "right": "pull_request:63", + "accept": false, + "reason": "Different conversion scripts for different pipelines; not mergeable into one concrete fix." + }, + { + "left": "pull_request:8470", + "right": "pull_request:9760", + "accept": false, + "reason": "Different README rewrites with no shared concrete code-path or documentation target." + }, + { + "left": "pull_request:8478", + "right": "pull_request:8479", + "accept": true, + "reason": "Near-identical HunyuanDiT controlnet/pipeline feature PRs touching the same files and implementation path." + }, + { + "left": "pull_request:12117", + "right": "pull_request:12225", + "accept": false, + "reason": "Both are QwenImage additions, but they introduce different pipeline classes and different concrete functionality." + }, + { + "left": "pull_request:327", + "right": "pull_request:335", + "accept": false, + "reason": "Type-hint refactors in different components (pipeline vs scheduler), not the same underlying change." + }, + { + "left": "pull_request:7903", + "right": "pull_request:9131", + "accept": false, + "reason": "Unrelated video processor test changes and dependency pinning; no shared bug or fix." + }, + { + "left": "pull_request:8064", + "right": "pull_request:9131", + "accept": false, + "reason": "Marigold test scaffolding and a tokenizers pin are unrelated." + }, + { + "left": "pull_request:6910", + "right": "pull_request:6939", + "accept": false, + "reason": "Same high-level model-card cleanup pattern, but for different training scripts and examples." + }, + { + "left": "pull_request:325", + "right": "pull_request:333", + "accept": false, + "reason": "Different pipelines, different code paths; both are type-hint cleanups only at a broad level." + }, + { + "left": "pull_request:359", + "right": "pull_request:360", + "accept": false, + "reason": "Different schedulers and different files; too broad to treat as the same change." + }, + { + "left": "pull_request:335", + "right": "pull_request:349", + "accept": false, + "reason": "Different scheduler implementations, so they are not the same concrete fix." + }, + { + "left": "pull_request:6909", + "right": "pull_request:6939", + "accept": false, + "reason": "Both standardize model cards, but they update different example scripts and outputs." + }, + { + "left": "pull_request:12521", + "right": "pull_request:12562", + "accept": false, + "reason": "Both concern Wan, but they fix different crash paths in different modules." + }, + { + "left": "pull_request:1131", + "right": "pull_request:1490", + "accept": false, + "reason": "Both are version/deprecation bumps, but for different release targets and additional cleanup." + }, + { + "left": "pull_request:1131", + "right": "pull_request:912", + "accept": false, + "reason": "Different release version bumps; not the same change." + }, + { + "left": "pull_request:13069", + "right": "pull_request:13082", + "accept": false, + "reason": "CI test refactors for different model families; same testing theme only." + }, + { + "left": "pull_request:1415", + "right": "pull_request:2757", + "accept": false, + "reason": "A broad stable-diffusion cleanup PR and a specific depth batching fix are not the same concrete bug." + }, + { + "left": "pull_request:2290", + "right": "pull_request:2446", + "accept": false, + "reason": "Both are pix2pix docs edits, but they fix different documentation snippets and wording issues." + }, + { + "left": "pull_request:2388", + "right": "pull_request:4612", + "accept": false, + "reason": "Adding the controlling-generation doc and later fixing links in it are related, but not the same underlying change." + }, + { + "left": "pull_request:2539", + "right": "pull_request:3099", + "accept": false, + "reason": "Different default-value fixes in different pipeline/docs contexts; not mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 249, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10206", + "pull_request:10810", + "pull_request:13255", + "pull_request:13313", + "pull_request:1525", + "pull_request:2839", + "pull_request:3214", + "pull_request:326", + "pull_request:327", + "pull_request:333", + "pull_request:335", + "pull_request:343", + "pull_request:3525", + "pull_request:359", + "pull_request:360", + "pull_request:3709", + "pull_request:3710", + "pull_request:3819", + "pull_request:4078", + "pull_request:4132", + "pull_request:4451", + "pull_request:5220", + "pull_request:5267", + "pull_request:5280", + "pull_request:5292", + "pull_request:5420", + "pull_request:5855", + "pull_request:6327", + "pull_request:6342", + "pull_request:6346", + "pull_request:6356", + "pull_request:6438", + "pull_request:6453", + "pull_request:6462", + "pull_request:6617", + "pull_request:6620", + "pull_request:7118", + "pull_request:7246", + "pull_request:7451", + "pull_request:7544", + "pull_request:7767", + "pull_request:7825", + "pull_request:7827", + "pull_request:7966", + "pull_request:831", + "pull_request:8775", + "pull_request:912", + "pull_request:9760" + ], + "soft_pairs": [ + "pull_request:2839|pull_request:3525", + "pull_request:3525|pull_request:3819", + "pull_request:3709|pull_request:3710", + "pull_request:3819|pull_request:5267", + "pull_request:3819|pull_request:5855", + "pull_request:4451|pull_request:5220", + "pull_request:5280|pull_request:5292", + "pull_request:6342|pull_request:6438", + "pull_request:6453|pull_request:6462", + "pull_request:6617|pull_request:6620", + "pull_request:7118|pull_request:7451", + "pull_request:7544|pull_request:7827", + "pull_request:7767|pull_request:7966", + "pull_request:831|pull_request:912", + "pull_request:8775|pull_request:9760", + "pull_request:6327|pull_request:6356", + "pull_request:326|pull_request:335", + "pull_request:4078|pull_request:4132", + "pull_request:343|pull_request:359", + "pull_request:343|pull_request:360", + "pull_request:10206|pull_request:10810", + "pull_request:1525|pull_request:3214", + "pull_request:5420|pull_request:6346", + "pull_request:7246|pull_request:7825", + "pull_request:327|pull_request:333", + "pull_request:13255|pull_request:13313" + ], + "prepared_review_unit_hash": "8209932b7bbea6a00d7a10dd9ba61d5c936d7a9d333199ec934f8c6c59379419", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 26, + "serialized_chars": 96392, + "estimated_input_tokens": 24098, + "estimated_eval_tokens": 48452 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly false-positive similarity hits across unrelated docs, test, and LoRA PRs. The only clear duplicate pair is the image-processor documentation addition; the rest are either different files, different concrete fixes, or follow-up edits rather than the same change.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 3710 is the cleanest canonical representative: it is merged, it touches the same files as 3709, and it contains the same new image-processor documentation change.", + "best_issue_reason": null, + "best_pr_reason": "PR 3710 is the strongest representative duplicate target in this cluster because it is the merged, final version of the exact same docs addition seen in 3709.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2839", + "right": "pull_request:3525", + "accept": false, + "reason": "Both are README edits, but they change different content: example listings vs general README wording/branding. Not the same underlying change." + }, + { + "left": "pull_request:3525", + "right": "pull_request:3819", + "accept": false, + "reason": "Generic README updates, but 3819 adds an FAQ section while 3525 changes introductory wording and links. Different changes." + }, + { + "left": "pull_request:3709", + "right": "pull_request:3710", + "accept": true, + "reason": "Same new docs page and toctree entry for the VAE image processor; 3710 is effectively the duplicate/finalized version of 3709." + }, + { + "left": "pull_request:3819", + "right": "pull_request:5267", + "accept": false, + "reason": "3819 adds FAQ content to examples/README, while 5267 fixes Markdown code fences in docs/README. Unrelated edits." + }, + { + "left": "pull_request:3819", + "right": "pull_request:5855", + "accept": false, + "reason": "FAQ content versus a typo fix in a community README. Same broad area, not the same change." + }, + { + "left": "pull_request:4451", + "right": "pull_request:5220", + "accept": false, + "reason": "Both retarget tests to nightly, but they cover different test suites and scopes. Not one concrete fix." + }, + { + "left": "pull_request:5280", + "right": "pull_request:5292", + "accept": false, + "reason": "Both speed up ControlNet fast tests, but they touch different test files and different pipelines. Separate changes." + }, + { + "left": "pull_request:6342", + "right": "pull_request:6438", + "accept": false, + "reason": "Both add Windows installation notes, but one is a 3.12-specific note and the other is broader Python-version guidance. Related follow-up, not a duplicate." + }, + { + "left": "pull_request:6453", + "right": "pull_request:6462", + "accept": false, + "reason": "6462 corrects the paper link introduced by 6453; this is a follow-up correction, not the same underlying change." + }, + { + "left": "pull_request:6617", + "right": "pull_request:6620", + "accept": false, + "reason": "These are different docs/script fixes: duplicated-arguments docs versus command-line invocation text. Not the same artifact." + }, + { + "left": "pull_request:7118", + "right": "pull_request:7451", + "accept": false, + "reason": "Both are docs typo sweeps, but they edit different pages and different text. Too broad to be duplicates." + }, + { + "left": "pull_request:7544", + "right": "pull_request:7827", + "accept": false, + "reason": "CPU offload test cleanup versus a docstring example fix in a ControlNet XL pipeline. Different code paths." + }, + { + "left": "pull_request:7767", + "right": "pull_request:7966", + "accept": false, + "reason": "Pipeline code cleanup in PixArt versus test expectation updates for PixArt Sigma. Not the same concrete change." + }, + { + "left": "pull_request:831", + "right": "pull_request:912", + "accept": false, + "reason": "These are different version bumps to different release versions, so they are not duplicates." + }, + { + "left": "pull_request:8775", + "right": "pull_request:9760", + "accept": false, + "reason": "One adds a Colab link to an example README; the other changes README headings/formatting. Unrelated." + }, + { + "left": "pull_request:6327", + "right": "pull_request:6356", + "accept": false, + "reason": "Both edit the same training script, but they fix different bugs: LoRA/SNR changes versus prior-preservation SNR handling. Separate changes." + }, + { + "left": "pull_request:326", + "right": "pull_request:335", + "accept": false, + "reason": "Both are PNDM-related type-hint PRs, but one targets the pipeline and the other the scheduler. Not the same underlying change." + }, + { + "left": "pull_request:343", + "right": "pull_request:359", + "accept": false, + "reason": "Different scheduler type-hint updates in different modules; same theme, not the same fix." + }, + { + "left": "pull_request:343", + "right": "pull_request:360", + "accept": false, + "reason": "Different scheduler type-hint updates in different modules; not mergeable as one concrete change." + }, + { + "left": "pull_request:10206", + "right": "pull_request:10810", + "accept": false, + "reason": "Both are LoRA/Flux related, but one adds unload support while the other improves conversion/loading logic. Different code paths." + }, + { + "left": "pull_request:1525", + "right": "pull_request:3214", + "accept": false, + "reason": "Batch sizing in the upscaler pipeline versus a head/batch reshape fix in attention code. Unrelated bugs." + }, + { + "left": "pull_request:4078", + "right": "pull_request:4132", + "accept": false, + "reason": "One enforces accelerate as required; the other makes accelerate optional. Opposite dependency behavior and different fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 250, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10319", + "pull_request:10323", + "pull_request:10434", + "pull_request:11257", + "pull_request:11701", + "pull_request:11879", + "pull_request:11895", + "pull_request:12490", + "pull_request:12675", + "pull_request:12883", + "pull_request:1291", + "pull_request:13254", + "pull_request:13293", + "pull_request:13315", + "pull_request:13335", + "pull_request:13338", + "pull_request:13340", + "pull_request:13341", + "pull_request:13352", + "pull_request:1415", + "pull_request:1423", + "pull_request:1490", + "pull_request:1508", + "pull_request:1564", + "pull_request:178", + "pull_request:1998", + "pull_request:2406", + "pull_request:2569", + "pull_request:309", + "pull_request:325", + "pull_request:327", + "pull_request:3470", + "pull_request:3472", + "pull_request:3525", + "pull_request:4188", + "pull_request:4285", + "pull_request:4351", + "pull_request:4612", + "pull_request:5267", + "pull_request:555", + "pull_request:6119", + "pull_request:6346", + "pull_request:7166", + "pull_request:889", + "pull_request:9040", + "pull_request:912", + "pull_request:9423", + "pull_request:9765" + ], + "soft_pairs": [ + "pull_request:4188|pull_request:6346", + "pull_request:10323|pull_request:10434", + "pull_request:11879|pull_request:11895", + "pull_request:12490|pull_request:13293", + "pull_request:13338|pull_request:13352", + "pull_request:1508|pull_request:1564", + "pull_request:6119|pull_request:7166", + "pull_request:9040|pull_request:9423", + "pull_request:10319|pull_request:9765", + "pull_request:11257|pull_request:11701", + "pull_request:12675|pull_request:12883", + "pull_request:1291|pull_request:1415", + "pull_request:13254|pull_request:13340", + "pull_request:13315|pull_request:13340", + "pull_request:13335|pull_request:13340", + "pull_request:13340|pull_request:13341", + "pull_request:1415|pull_request:309", + "pull_request:1423|pull_request:555", + "pull_request:1490|pull_request:912", + "pull_request:178|pull_request:555", + "pull_request:178|pull_request:889", + "pull_request:1998|pull_request:3525", + "pull_request:2406|pull_request:4612", + "pull_request:2569|pull_request:4285", + "pull_request:325|pull_request:327", + "pull_request:3470|pull_request:3472", + "pull_request:3525|pull_request:4351", + "pull_request:4351|pull_request:5267" + ], + "prepared_review_unit_hash": "64f96b13f73e634cb0edca70a6f3ed86b3ead49fef92a076dbaff9633c84fb61", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 96312, + "estimated_input_tokens": 24078, + "estimated_eval_tokens": 48412 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose collection of small docs, tests, and workflow PRs rather than one shared bug. I only accept two soft edges where the changes look genuinely the same: the style bot token swap and the DreamBooth IF docs additions.", + "confidence": 0.44, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10434 is the best representative: it is a broad docs-link fix, has an explicit issue target, and is the clearest central example among the mostly documentation-focused items.", + "best_issue_reason": null, + "best_pr_reason": "PR 10434 is the strongest standalone representative overall because it addresses a concrete broken-links docs problem across many files and is explicitly tied to an issue.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4188", + "right": "pull_request:6346", + "accept": false, + "reason": "Both are training-example follow-ups, but they fix different concrete problems: dataset caching/fingerprint handling vs LoRA state-dict conversion/loading." + }, + { + "left": "pull_request:10323", + "right": "pull_request:10434", + "accept": false, + "reason": "Both are docs link fixes, but they target different pages/files and different broken-link sets, so they are not the same underlying change." + }, + { + "left": "pull_request:11879", + "right": "pull_request:11895", + "accept": false, + "reason": "Both remove deprecated tests, but they affect different deprecated pipelines and are separate cleanup changes." + }, + { + "left": "pull_request:12490", + "right": "pull_request:13293", + "accept": false, + "reason": "These are unrelated Audioldm2 test/pipeline fixes: one adjusts ClapConfig in tests, the other changes cache-position logic in the pipeline." + }, + { + "left": "pull_request:13338", + "right": "pull_request:13352", + "accept": false, + "reason": "Same workflow file, but different fixes: one adds id-token permission and the other adds a checkout step. They are not the same code-path problem." + }, + { + "left": "pull_request:1508", + "right": "pull_request:1564", + "accept": false, + "reason": "Both touch DreamBooth docs, but one clarifies num_class_images and the other documents default accelerate config; these are separate documentation changes." + }, + { + "left": "pull_request:6119", + "right": "pull_request:7166", + "accept": false, + "reason": "Both involve SDXL LoRA training, but one fixes fp16 gradient scaling and the other fixes loading state into the wrong text encoder; different bugs." + }, + { + "left": "pull_request:9040", + "right": "pull_request:9423", + "accept": false, + "reason": "Both add differential diffusion community examples, but for different pipelines/models, so they are separate feature additions." + }, + { + "left": "pull_request:10319", + "right": "pull_request:9765", + "accept": false, + "reason": "Both are docstring typo fixes, but for different pipeline classes and files; they are not the same underlying change." + }, + { + "left": "pull_request:11257", + "right": "pull_request:11701", + "accept": true, + "reason": "These look like the same style-bot workflow token replacement in the same file and line, just with a different secret name/finalization of the same change." + }, + { + "left": "pull_request:12675", + "right": "pull_request:12883", + "accept": false, + "reason": "Both are typo fixes in quantization docs, but they touch different pages and different misspellings, so they are separate edits." + }, + { + "left": "pull_request:1291", + "right": "pull_request:1415", + "accept": false, + "reason": "Both mention Stable Diffusion links, but one is a single README notebook link fix while the other is a broad multi-file docs cleanup; not the same change." + }, + { + "left": "pull_request:13254", + "right": "pull_request:13340", + "accept": false, + "reason": "These are refactors for different transformer test files (LTX vs SD3), so they do not share one concrete bug or change." + }, + { + "left": "pull_request:13315", + "right": "pull_request:13340", + "accept": false, + "reason": "Different transformer test refactors for different models (Sana vs SD3); same refactor theme, but not the same underlying change." + }, + { + "left": "pull_request:13335", + "right": "pull_request:13340", + "accept": false, + "reason": "Different transformer test refactors (Cosmos vs SD3) with separate model coverage, not one mergeable fix." + }, + { + "left": "pull_request:13340", + "right": "pull_request:13341", + "accept": false, + "reason": "Both are transformer test refactors, but for different models and test concerns (SD3 vs Bria), so they are not duplicates." + }, + { + "left": "pull_request:1415", + "right": "pull_request:309", + "accept": false, + "reason": "Both fix Stable Diffusion links, but one is a broad docs sweep while the other is a single notebook link in README; not the same concrete issue." + }, + { + "left": "pull_request:1423", + "right": "pull_request:555", + "accept": false, + "reason": "These are unrelated Flax changes: one adds Stable Diffusion 2 support, the other adds a Flax VAE model." + }, + { + "left": "pull_request:1490", + "right": "pull_request:912", + "accept": false, + "reason": "Both are version/deprecation-related, but one is a version bump plus deprecation cleanup while the other is just the version bump." + }, + { + "left": "pull_request:178", + "right": "pull_request:555", + "accept": false, + "reason": "A Stable Diffusion pipeline test and a Flax VAE addition are unrelated changes." + }, + { + "left": "pull_request:178", + "right": "pull_request:889", + "accept": false, + "reason": "Pipeline tests and a components-function feature are different changes with no shared bug." + }, + { + "left": "pull_request:1998", + "right": "pull_request:3525", + "accept": false, + "reason": "Both edit README content, but one adds DreamBooth blog post text and the other is a broad marketing/intro rewrite; unrelated." + }, + { + "left": "pull_request:2406", + "right": "pull_request:4612", + "accept": false, + "reason": "Both touch controlling-generation docs, but they fix different issues: prose/organization vs broken links." + }, + { + "left": "pull_request:2569", + "right": "pull_request:4285", + "accept": false, + "reason": "OpenVINO-only docs and combined OpenVINO/ONNX SDXL docs are related topics but different documentation additions, not one duplicate fix." + }, + { + "left": "pull_request:325", + "right": "pull_request:327", + "accept": false, + "reason": "Two different pipeline type-hint PRs for different schedulers/models; same style, but not the same concrete change." + }, + { + "left": "pull_request:3470", + "right": "pull_request:3472", + "accept": true, + "reason": "Both add the same DreamBooth IF training documentation and examples in different docs locations, so they are effectively the same underlying docs change." + }, + { + "left": "pull_request:3525", + "right": "pull_request:4351", + "accept": false, + "reason": "Both modify README.md, but one is a content rewrite and the other is only a path/image-hosting fix; separate changes." + }, + { + "left": "pull_request:4351", + "right": "pull_request:5267", + "accept": false, + "reason": "A README image-path fix and a docs README formatting cleanup are unrelated edits." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 251, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10021", + "pull_request:10330", + "pull_request:10378", + "pull_request:11428", + "pull_request:11522", + "pull_request:11534", + "pull_request:11913", + "pull_request:11995", + "pull_request:11997", + "pull_request:12086", + "pull_request:12490", + "pull_request:12660", + "pull_request:12909", + "pull_request:2464", + "pull_request:2795", + "pull_request:325", + "pull_request:359", + "pull_request:4262", + "pull_request:4351", + "pull_request:4451", + "pull_request:4472", + "pull_request:4574", + "pull_request:4597", + "pull_request:4694", + "pull_request:4749", + "pull_request:4833", + "pull_request:5003", + "pull_request:5093", + "pull_request:5201", + "pull_request:555", + "pull_request:5697", + "pull_request:5855", + "pull_request:6314", + "pull_request:6462", + "pull_request:6647", + "pull_request:6837", + "pull_request:6907", + "pull_request:6939", + "pull_request:7335", + "pull_request:7425", + "pull_request:8755", + "pull_request:8798", + "pull_request:889", + "pull_request:8913", + "pull_request:9249", + "pull_request:9860", + "pull_request:9893", + "pull_request:9938" + ], + "soft_pairs": [ + "pull_request:4351|pull_request:5855", + "pull_request:4472|pull_request:4574", + "pull_request:555|pull_request:889", + "pull_request:6314|pull_request:6462", + "pull_request:6647|pull_request:7335", + "pull_request:6837|pull_request:7425", + "pull_request:9249|pull_request:9860", + "pull_request:11913|pull_request:11997", + "pull_request:4262|pull_request:4749", + "pull_request:8798|pull_request:8913", + "pull_request:11995|pull_request:12086", + "pull_request:4451|pull_request:5093", + "pull_request:4833|pull_request:5003", + "pull_request:4597|pull_request:4694", + "pull_request:12660|pull_request:12909", + "pull_request:6907|pull_request:6939", + "pull_request:11428|pull_request:11534", + "pull_request:10378|pull_request:8755", + "pull_request:325|pull_request:359", + "pull_request:5201|pull_request:5697", + "pull_request:9893|pull_request:9938", + "pull_request:10021|pull_request:10330", + "pull_request:2464|pull_request:2795", + "pull_request:11522|pull_request:12490" + ], + "prepared_review_unit_hash": "4c8707f1d2bfc70d8b358b90fab1f4df77fcf39f4cf976ad12c1b2be76da272b", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 24, + "serialized_chars": 101970, + "estimated_input_tokens": 25493, + "estimated_eval_tokens": 51242 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated PRs spanning docs, examples, modular-pipeline feature work, and bugfixes. I only see a few genuine duplicate-style overlaps: subfolder sharded checkpoint loading, LoRA fuse/unfuse behavior, and the slow\u2192nightly test marker migration.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true duplicate cluster emerges here; #4694 is the best anchor because it is a broad, self-contained feature PR with the highest engagement and a clear scope.", + "best_issue_reason": null, + "best_pr_reason": "#4694 is the strongest representative PR in the set: substantial, self-contained, and heavily reviewed, making it the best single anchor even though the cluster is not really a duplicate set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4351", + "right": "pull_request:5855", + "accept": false, + "reason": "Different documentation fixes in unrelated files; not the same underlying change." + }, + { + "left": "pull_request:4472", + "right": "pull_request:4574", + "accept": false, + "reason": "Both touch docs, but one is an SDXL README cleanup and the other is InstructPix2Pix README push_to_hub mentions; separate changes." + }, + { + "left": "pull_request:555", + "right": "pull_request:889", + "accept": false, + "reason": "Unrelated core changes: adding Flax VAE vs adding a components API to DiffusionPipeline." + }, + { + "left": "pull_request:6314", + "right": "pull_request:6462", + "accept": false, + "reason": "Both are paper-link doc fixes, but for different models and pages; not the same change." + }, + { + "left": "pull_request:6647", + "right": "pull_request:7335", + "accept": false, + "reason": "Different test updates for different pipelines; no shared bug or concrete code path." + }, + { + "left": "pull_request:6837", + "right": "pull_request:7425", + "accept": false, + "reason": "Unrelated docs tweaks in different tutorials/pipelines; not a duplicate fix." + }, + { + "left": "pull_request:9249", + "right": "pull_request:9860", + "accept": false, + "reason": "Same example family, but the latter is a follow-up extending the example to SD3.5 rather than the same underlying change." + }, + { + "left": "pull_request:11913", + "right": "pull_request:11997", + "accept": false, + "reason": "Same modular subsystem, but one adds Wan text-to-video support and the other adds Wan I2V/FLF2V extensions; distinct feature work." + }, + { + "left": "pull_request:4262", + "right": "pull_request:4749", + "accept": false, + "reason": "Both touch SDXL DreamBooth LoRA, but they fix different behaviors: training/checkpointing vs text-encoder LoRA loading." + }, + { + "left": "pull_request:8798", + "right": "pull_request:8913", + "accept": true, + "reason": "Both fix loading sharded checkpoints from a subfolder; this is the same loader-path bug with hub/local variants." + }, + { + "left": "pull_request:11995", + "right": "pull_request:12086", + "accept": false, + "reason": "Related modular Flux work, but text-to-image modular support and I2I support are separate feature additions." + }, + { + "left": "pull_request:4451", + "right": "pull_request:5093", + "accept": true, + "reason": "Both perform the same mechanical migration of tests from @slow to @nightly across the suite." + }, + { + "left": "pull_request:4833", + "right": "pull_request:5003", + "accept": true, + "reason": "Both address LoRA fuse/unfuse behavior in the same code path; these are compatible parts of one fix." + }, + { + "left": "pull_request:4597", + "right": "pull_request:4694", + "accept": false, + "reason": "Same ControlNet area, but SDXL MultiControlNet support and SDXL inpainting are different features." + }, + { + "left": "pull_request:12660", + "right": "pull_request:12909", + "accept": false, + "reason": "Both are context-parallel fixes, but they target different model implementations (ChronoEdit vs Wan) and are not the same concrete patch." + }, + { + "left": "pull_request:6907", + "right": "pull_request:6939", + "accept": false, + "reason": "Both standardize model cards, but for different examples and different scripts; not one duplicate bug/change." + }, + { + "left": "pull_request:11428", + "right": "pull_request:11534", + "accept": false, + "reason": "Closely related feature work, but Framepack and Framepack F1 are distinct follow-up changes rather than the same PR-worthy bug fix." + }, + { + "left": "pull_request:10378", + "right": "pull_request:8755", + "accept": false, + "reason": "Same DreamBooth SD3 script, but one is DS support and the other is text-encoder training fix; separate changes." + }, + { + "left": "pull_request:325", + "right": "pull_request:359", + "accept": false, + "reason": "Different type-hint cleanups in unrelated modules; no shared underlying change." + }, + { + "left": "pull_request:5201", + "right": "pull_request:5697", + "accept": false, + "reason": "Both involve LoRA/xformers, but they fix different symptoms and code paths; not one mergeable change." + }, + { + "left": "pull_request:9893", + "right": "pull_request:9938", + "accept": false, + "reason": "Both update community reference docs, but one adds an SDXL ControlNet reference pipeline while the other updates the SDXL reference pipeline." + }, + { + "left": "pull_request:10021", + "right": "pull_request:10330", + "accept": false, + "reason": "Second PR is a version/update follow-up for LTX Video, not the same underlying implementation change as the first." + }, + { + "left": "pull_request:2464", + "right": "pull_request:2795", + "accept": false, + "reason": "Different example training scripts and different fixes; not the same concrete bug or change." + }, + { + "left": "pull_request:11522", + "right": "pull_request:12490", + "accept": false, + "reason": "Both touch AudioLDM2 tests, but one fixes transformers-version compatibility and the other fixes ClapConfig construction; separate issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 252, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10005", + "pull_request:10109", + "pull_request:10183", + "pull_request:10222", + "pull_request:10278", + "pull_request:10394", + "pull_request:1041", + "pull_request:10434", + "pull_request:10819", + "pull_request:1087", + "pull_request:10947", + "pull_request:1103", + "pull_request:1104", + "pull_request:1137", + "pull_request:11431", + "pull_request:11473", + "pull_request:11505", + "pull_request:11537", + "pull_request:11634", + "pull_request:11857", + "pull_request:121", + "pull_request:1210", + "pull_request:12272", + "pull_request:1230", + "pull_request:12442", + "pull_request:12487", + "pull_request:12526", + "pull_request:12775", + "pull_request:12856", + "pull_request:1291", + "pull_request:13253", + "pull_request:13340", + "pull_request:1437", + "pull_request:1467", + "pull_request:1998", + "pull_request:2271", + "pull_request:2362", + "pull_request:2396", + "pull_request:2757", + "pull_request:2766", + "pull_request:2846", + "pull_request:3127", + "pull_request:3166", + "pull_request:353", + "pull_request:5674", + "pull_request:6122", + "pull_request:9015" + ], + "soft_pairs": [ + "pull_request:12442|pull_request:12526", + "pull_request:11431|pull_request:11537", + "pull_request:5674|pull_request:6122", + "pull_request:1137|pull_request:3127", + "pull_request:10005|pull_request:10819", + "pull_request:10109|pull_request:10222", + "pull_request:10183|pull_request:10947", + "pull_request:10278|pull_request:11473", + "pull_request:10278|pull_request:9015", + "pull_request:10394|pull_request:11634", + "pull_request:1041|pull_request:2396", + "pull_request:10434|pull_request:11505", + "pull_request:1087|pull_request:1467", + "pull_request:1103|pull_request:3166", + "pull_request:1104|pull_request:2362", + "pull_request:11505|pull_request:12487", + "pull_request:11857|pull_request:12272", + "pull_request:121|pull_request:1998", + "pull_request:1210|pull_request:1467", + "pull_request:1230|pull_request:2766", + "pull_request:12775|pull_request:12856", + "pull_request:1291|pull_request:2757", + "pull_request:13253|pull_request:13340", + "pull_request:1437|pull_request:353", + "pull_request:1467|pull_request:2271", + "pull_request:1467|pull_request:2846" + ], + "prepared_review_unit_hash": "dbd17ec45d14efda4e328941b40c7dc3f833d4a08edfc5ae56400ca19d1c60da", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 26, + "serialized_chars": 100499, + "estimated_input_tokens": 25125, + "estimated_eval_tokens": 50506 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated docs/test/feature PRs. The only clear duplicate-like pair is the Wan2.2 Animate feature work, where #12526 is a direct continuation/superset of #12442. 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different problems." + }, + { + "left": "pull_request:11505", + "right": "pull_request:12487", + "accept": false, + "reason": "Both are docs link-fix PRs, but #12487 is a much broader sweep; the overlap is thematic, not the same concrete change." + }, + { + "left": "pull_request:11857", + "right": "pull_request:12272", + "accept": false, + "reason": "Flux docs reference updates vs Flux modular pipeline logic changes; different artifacts and bugs." + }, + { + "left": "pull_request:121", + "right": "pull_request:1998", + "accept": false, + "reason": "README examples vs a DreamBooth blog-post reference; unrelated documentation updates." + }, + { + "left": "pull_request:1210", + "right": "pull_request:1467", + "accept": false, + "reason": "Both mention test stability, but they fix different pipelines/schedulers and different failure modes." + }, + { + "left": "pull_request:1230", + "right": "pull_request:2766", + "accept": false, + "reason": "Both are MPS-related test fixes, but they address different concrete issues in different test areas." + }, + { + "left": "pull_request:12775", + "right": "pull_request:12856", + "accept": false, + "reason": "The first adds Z-Image docs, the second adds the Z-Image implementation; 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Different problems." + }, + { + "left": "pull_request:1998", + "right": "pull_request:252", + "accept": false, + "reason": "Both are README/docs updates, but they are about unrelated content and different pages." + }, + { + "left": "pull_request:2271", + "right": "pull_request:3989", + "accept": false, + "reason": "Both are test-fix PRs, but they target different pipelines and different failing tests." + }, + { + "left": "pull_request:2362", + "right": "pull_request:2792", + "accept": false, + "reason": "Both relate to MPS skips, but they modify different test suites and are separate follow-up coverage changes rather than the same patch." + }, + { + "left": "pull_request:2383", + "right": "pull_request:3217", + "accept": false, + "reason": "Different utilities and different code paths; only the general theme of adding helpers is shared." + }, + { + "left": "pull_request:2446", + "right": "pull_request:3987", + "accept": false, + "reason": "Unrelated docs snippets for different pipelines." + }, + { + "left": "pull_request:2846", + "right": "pull_request:3989", + "accept": false, + "reason": "Both are slow-test fixes, but they affect different pipelines and different failure modes." + }, + { + "left": "pull_request:2935", + "right": "pull_request:3119", + "accept": false, + "reason": "Both mention RePaint docs, but one is a typo cleanup and the other updates an interface example; 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Related, but not the same concrete change." + }, + { + "left": "pull_request:326", + "right": "pull_request:349", + "accept": false, + "reason": "Both are typing-oriented scheduler/model changes, but they modify different classes and are unrelated." + }, + { + "left": "pull_request:11254", + "right": "pull_request:12425", + "accept": false, + "reason": "Different import-guard fixes for different optional/torch.distributed modules. Same theme, not the same bug." + }, + { + "left": "pull_request:1137", + "right": "pull_request:2693", + "accept": false, + "reason": "One fixes a dtype issue in the inpaint pipeline safety checker; the other only fixes a documentation image link." + }, + { + "left": "pull_request:13042", + "right": "pull_request:13275", + "accept": false, + "reason": "Both are test fixes, but they target different pipelines and different failure modes. 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not a duplicate fix." + }, + { + "left": "pull_request:5983", + "right": "pull_request:6466", + "accept": false, + "reason": "Both touch the SVD doc, but one adjusts embedded media/formatting while the other removes the video block and rewrites the layout." + }, + { + "left": "pull_request:5983", + "right": "pull_request:6475", + "accept": false, + "reason": "Doc polish vs. pipeline type annotation fix; unrelated changes." + }, + { + "left": "pull_request:5983", + "right": "pull_request:7015", + "accept": false, + "reason": "SVD doc tweaks and from_single_file doc/example fixes are different concrete tasks." + }, + { + "left": "pull_request:6647", + "right": "pull_request:7564", + "accept": false, + "reason": "SDXL k-diffusion test expectation update vs. broad pipeline test fixes; not the same bug." + }, + { + "left": "pull_request:70", + "right": "pull_request:78", + "accept": false, + "reason": "Both touch mid-block attention internals, but 70 is a broader architectural update while 78 is a separate mid-block fix." + }, + { + "left": "pull_request:7050", + "right": "pull_request:7068", + "accept": false, + "reason": "Typo fixes in text-to-image examples vs. broader typo fixes across other docs/code; related theme, different edits." + }, + { + "left": "pull_request:7050", + "right": "pull_request:7451", + "accept": false, + "reason": "Same general typo-fix theme, but 7451 is a much broader doc sweep across many files, not a duplicate of the text-to-image-only edits." + }, + { + "left": "pull_request:7068", + "right": "pull_request:7118", + "accept": false, + "reason": "General typo cleanup vs. docs fixes for IP-Adapter usage; different files and intent." + }, + { + "left": "pull_request:7564", + "right": "pull_request:8656", + "accept": false, + "reason": "A collection of pipeline test fixes vs. shard-checkpoint loading fixes; different underlying problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 264, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10858", + "pull_request:11428", + "pull_request:11522", + "pull_request:11546", + "pull_request:12018", + "pull_request:12069", + "pull_request:12490", + "pull_request:130", + "pull_request:13275", + "pull_request:13442", + "pull_request:13469", + "pull_request:1564", + "pull_request:2001", + "pull_request:2062", + "pull_request:2172", + "pull_request:2406", + "pull_request:2490", + "pull_request:2595", + "pull_request:2693", + "pull_request:327", + "pull_request:3397", + "pull_request:343", + "pull_request:3471", + "pull_request:349", + "pull_request:4262", + "pull_request:4666", + "pull_request:4749", + "pull_request:4833", + "pull_request:5201", + "pull_request:5639", + "pull_request:6645", + "pull_request:6759", + "pull_request:7024", + "pull_request:7206", + "pull_request:7825", + "pull_request:788", + "pull_request:7977", + "pull_request:800", + "pull_request:8498", + "pull_request:8845", + "pull_request:8913", + "pull_request:9040", + "pull_request:9086", + "pull_request:9206", + "pull_request:9506", + "pull_request:9597", + "pull_request:971" + ], + "soft_pairs": [ + "pull_request:7825|pull_request:9206", + "pull_request:7977|pull_request:8845", + "pull_request:800|pull_request:971", + "pull_request:8498|pull_request:8845", + "pull_request:11522|pull_request:12069", + "pull_request:12490|pull_request:13442", + "pull_request:327|pull_request:343", + "pull_request:3397|pull_request:3471", + "pull_request:4262|pull_request:4666", + "pull_request:11428|pull_request:11546", + "pull_request:2001|pull_request:2062", + "pull_request:4749|pull_request:5201", + "pull_request:6645|pull_request:6759", + "pull_request:327|pull_request:349", + "pull_request:13275|pull_request:13469", + "pull_request:5639|pull_request:7024", + "pull_request:7206|pull_request:9086", + "pull_request:9040|pull_request:9597", + "pull_request:130|pull_request:1564", + "pull_request:2693|pull_request:788", + "pull_request:4833|pull_request:5201", + "pull_request:8913|pull_request:9506", + "pull_request:10858|pull_request:12018", + "pull_request:2172|pull_request:2595", + "pull_request:2406|pull_request:2490" + ], + "prepared_review_unit_hash": "9a978b8ac93f6d7a23f8f12e8b21ec79d21da3b28eeacb085fba1593da97cc27", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 94529, + "estimated_input_tokens": 23633, + "estimated_eval_tokens": 47522 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated docs/tests/example PRs that only look similar at a broad topical level. I only accept the two AudioLDM2 PRs as the same underlying code-path fix; the rest are false positives.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a good canonical representative for the whole cluster; the items span many unrelated fixes and docs-only changes.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR: the cluster is too heterogeneous, and most pairs are not true duplicates or mergeable into one change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7825", + "right": "pull_request:9206", + "accept": false, + "reason": "Both are test-related, but they fix different failure modes in different areas (modeling common offload tests vs xformers attention tests)." + }, + { + "left": "pull_request:7977", + "right": "pull_request:8845", + "accept": false, + "reason": "Both are typo fixes, but in unrelated files and contexts; not the same underlying change." + }, + { + "left": "pull_request:800", + "right": "pull_request:971", + "accept": false, + "reason": "VQ Diffusion integration and bit diffusion community docs/code are different features, not one bug or change." + }, + { + "left": "pull_request:8498", + "right": "pull_request:8845", + "accept": false, + "reason": "A doc typo fix in Stable Diffusion 3 is unrelated to a typo fix in PAG tests." + }, + { + "left": "pull_request:11522", + "right": "pull_request:12069", + "accept": true, + "reason": "Both modify the same AudioLDM2 language-model cache-position logic in the same file, addressing the same transformers-compatibility code path; they could plausibly be merged into one PR." + }, + { + "left": "pull_request:12490", + "right": "pull_request:13442", + "accept": false, + "reason": "Both touch AudioLDM2-related tests/examples, but they target different config issues and do not fix the same bug." + }, + { + "left": "pull_request:327", + "right": "pull_request:343", + "accept": false, + "reason": "These are separate type-hint 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"pull_request:4749", + "right": "pull_request:5201", + "accept": false, + "reason": "These address different LoRA issues: SDXL checkpointing vs xformers attention processor behavior." + }, + { + "left": "pull_request:6645", + "right": "pull_request:6759", + "accept": false, + "reason": "A community README edit and an InstantID example fix are not the same underlying change." + }, + { + "left": "pull_request:327", + "right": "pull_request:349", + "accept": false, + "reason": "Both are typing-only updates, but for different scheduler classes and different code paths." + }, + { + "left": "pull_request:13275", + "right": "pull_request:13469", + "accept": false, + "reason": "Hunyuan test kwargs and deprecated attention-processor tests are unrelated." + }, + { + "left": "pull_request:5639", + "right": "pull_request:7024", + "accept": false, + "reason": "Both add AnimateDiff docs sections, but they cover different features (Motion LoRAs vs AnimateLCM)." + }, + { + "left": "pull_request:7206", + "right": "pull_request:9086", + "accept": false, + "reason": "Training-script tags metadata and Flux DreamBooth LoRA scripts are unrelated changes." + }, + { + "left": "pull_request:9040", + "right": "pull_request:9597", + "accept": false, + "reason": "Both touch the community README, but they add different community entries/features and are not duplicates." + }, + { + "left": "pull_request:130", + "right": "pull_request:1564", + "accept": false, + "reason": "General accelerate setup guidance versus default accelerate config are different documentation changes." + }, + { + "left": "pull_request:2693", + "right": "pull_request:788", + "accept": false, + "reason": "An inpaint doc image-link fix is unrelated to PIL sampler warning fixes in training/image pipelines." + }, + { + "left": "pull_request:4833", + "right": "pull_request:5201", + "accept": false, + "reason": "Different LoRA fixes: one is unfusing/saving LoRA weights, the other is xformers attention processor behavior." + }, + { + "left": "pull_request:8913", + "right": "pull_request:9506", + "accept": false, + "reason": "Local sharded-checkpoint loading and docs/path cleanup are unrelated." + }, + { + "left": "pull_request:10858", + "right": "pull_request:12018", + "accept": false, + "reason": "Both are docs fixes, but they target different pages and issues." + }, + { + "left": "pull_request:2172", + "right": "pull_request:2595", + "accept": false, + "reason": "Multi-GPU validation logic and scheduler switching are separate problems." + }, + { + "left": "pull_request:2406", + "right": "pull_request:2490", + "accept": false, + "reason": "A docs nits cleanup and adding MultiDiffusion content are not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 265, + 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"pull_request:5768", + "pull_request:5828", + "pull_request:6342", + "pull_request:6759", + "pull_request:7050", + "pull_request:7131", + "pull_request:7246", + "pull_request:7451", + "pull_request:7825", + "pull_request:7827", + "pull_request:8230", + "pull_request:8797", + "pull_request:9207", + "pull_request:9696" + ], + "soft_pairs": [ + "pull_request:2526|pull_request:3942", + "pull_request:2637|pull_request:2748", + "pull_request:3945|pull_request:4343", + "pull_request:4626|pull_request:6342", + "pull_request:4862|pull_request:5665", + "pull_request:5003|pull_request:5157", + "pull_request:5768|pull_request:5828", + "pull_request:7246|pull_request:8797", + "pull_request:7825|pull_request:9696", + "pull_request:7827|pull_request:8230", + "pull_request:12006|pull_request:12041", + "pull_request:3351|pull_request:3476", + "pull_request:3589|pull_request:4498", + "pull_request:3586|pull_request:3590", + "pull_request:4262|pull_request:5615", + "pull_request:4572|pull_request:4749", 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"summary": "These soft edges mostly connect unrelated docs/test fixes or separate feature work in the same broad subsystem. None look like the same underlying bug or change, so I reject all candidate duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true canonical PR: the items are heterogeneous and do not form a single duplicate change set.", + "best_issue_reason": null, + "best_pr_reason": "If a representative is needed, pull_request:11353 is the broadest self-contained feature PR here (Wan FLF2V support across pipeline, converter, docs, and tests), but it is not a duplicate of the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2526", + "right": "pull_request:3942", + "accept": false, + "reason": "Both touch tests, but they fix different failures in different test paths; not the same bug." + }, + { + "left": "pull_request:2637", + "right": "pull_request:2748", + "accept": false, + "reason": "Separate typo/doc cleanup PRs in different files; no shared underlying change." + }, + { + "left": "pull_request:3945", + "right": "pull_request:4343", + "accept": false, + "reason": "Both add a rank arg, but for different DreamBooth LoRA scripts and code paths (SD vs SDXL)." + }, + { + "left": "pull_request:4626", + "right": "pull_request:6342", + "accept": false, + "reason": "Unrelated documentation updates in different areas; not the same change." + }, + { + "left": "pull_request:4862", + "right": "pull_request:5665", + "accept": false, + "reason": "Both are ControlNet img2img fixes, but they address different bugs in different preprocessing steps." + }, + { + "left": "pull_request:5003", + "right": "pull_request:5157", + "accept": false, + "reason": "One fixes LoRA fuse/unfuse behavior; the other fixes LoRA conversion naming. Different issues." + }, + { + "left": "pull_request:5768", + "right": "pull_request:5828", + "accept": false, + "reason": "Docs change vs test/memory fix for the same model family, but not the same bug or patch." + }, + { + "left": "pull_request:7246", + "right": "pull_request:8797", + "accept": false, + "reason": "Both are test stability changes, but they target different test cases and failure modes." + }, + { + "left": "pull_request:7825", + "right": "pull_request:9696", + "accept": false, + "reason": "Model device-map test fixes versus a workflow update; unrelated changes." + }, + { + "left": "pull_request:7827", + "right": "pull_request:8230", + "accept": false, + "reason": "Both mention CPU offloading, but one is a docstring fix and the other is broader documentation usage updates." + }, + { + "left": "pull_request:12006", + "right": "pull_request:12041", + "accept": false, + "reason": "Wan feature addition versus Wan VAE patching bug fix; different code paths." + }, + { + "left": "pull_request:3351", + "right": "pull_request:3476", + "accept": false, + "reason": "Same parameter name, but added to different schedulers; separate implementations and patches." + }, + { + "left": "pull_request:3589", + "right": "pull_request:4498", + "accept": false, + "reason": "Both reference-control related, but one is README guidance and the other adds SDXL reference support." + }, + { + "left": "pull_request:3586", + "right": "pull_request:3590", + "accept": false, + "reason": "Different community example pipelines (tiling vs canvas); not one underlying change." + }, + { + "left": "pull_request:4262", + "right": "pull_request:5615", + "accept": false, + "reason": "DreamBooth LoRA fixes vs an SDXL adapter load_lora revert; unrelated code paths." + }, + { + "left": "pull_request:4572", + "right": "pull_request:4749", + "accept": false, + "reason": "A variable rename fix in one example versus SDXL DreamBooth checkpointing logic; different bugs." + }, + { + "left": "pull_request:4749", + "right": "pull_request:6759", + "accept": false, + "reason": "Checkpointing/loading fix versus InstantID prompt embedding repeat fix; unrelated changes." + }, + { + "left": "pull_request:7050", + "right": "pull_request:7131", + "accept": false, + "reason": "Both are typo/doc cleanup, but they touch different documents and content." + }, + { + "left": "pull_request:7451", + "right": "pull_request:9207", + "accept": false, + "reason": "Separate docs typo cleanup versus CPU offloading usage docs; not the same issue." + }, + { + "left": "pull_request:11353", + "right": "pull_request:11726", + "accept": false, + "reason": "Wan FLF2V support versus Wan LoRA conversion support; different features and code paths." + }, + { + "left": "pull_request:11479", + "right": "pull_request:11728", + "accept": false, + "reason": "Intel Gaudi docs update versus doc-builder Dockerfile package additions; unrelated." + }, + { + "left": "pull_request:1229", + "right": "pull_request:1564", + "accept": false, + "reason": "Both DreamBooth docs, but they address different setup instructions and problems." + }, + { + "left": "pull_request:1229", + "right": "pull_request:2367", + "accept": false, + "reason": "README install guidance versus training-script checkpoint management; unrelated." + }, + { + "left": "pull_request:1527", + "right": "pull_request:2693", + "accept": false, + "reason": "Inpaint pipeline code fix versus a doc image-link fix; not the same change." + }, + { + "left": "pull_request:154", + "right": "pull_request:168", + "accept": false, + "reason": "Different early project changes: a conversion script addition versus pipeline export/initialization work." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 266, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10192", + "pull_request:10941", + "pull_request:11655", + "pull_request:1269", + "pull_request:13121", + "pull_request:13217", + "pull_request:1508", + "pull_request:154", + "pull_request:1554", + "pull_request:1788", + "pull_request:1951", + "pull_request:2009", + "pull_request:2367", + "pull_request:2565", + "pull_request:2892", + "pull_request:2928", + "pull_request:2976", + "pull_request:326", + "pull_request:3370", + "pull_request:3446", + "pull_request:3471", + "pull_request:3568", + "pull_request:359", + "pull_request:360", + "pull_request:3641", + "pull_request:4272", + "pull_request:4621", + "pull_request:4856", + "pull_request:5090", + "pull_request:5299", + "pull_request:5391", + "pull_request:5411", + "pull_request:5759", + "pull_request:5898", + "pull_request:6119", + "pull_request:6330", + "pull_request:6645", + "pull_request:7200", + "pull_request:7246", + "pull_request:7319", + "pull_request:7857", + "pull_request:7919", + "pull_request:822", + "pull_request:827", + "pull_request:8797", + "pull_request:9206", + "pull_request:9676", + "pull_request:98" + ], + "soft_pairs": [ + "pull_request:154|pull_request:98", + "pull_request:1554|pull_request:2565", + "pull_request:1788|pull_request:3641", + "pull_request:1951|pull_request:3370", + "pull_request:2367|pull_request:2928", + "pull_request:2892|pull_request:3446", + "pull_request:2892|pull_request:3641", + "pull_request:2892|pull_request:4272", + "pull_request:2976|pull_request:4856", + "pull_request:3568|pull_request:5411", + "pull_request:4621|pull_request:6119", + "pull_request:5090|pull_request:6645", + "pull_request:5391|pull_request:5759", + "pull_request:7319|pull_request:7857", + "pull_request:822|pull_request:827", + "pull_request:10192|pull_request:11655", + "pull_request:1269|pull_request:2009", + "pull_request:1508|pull_request:3471", + "pull_request:5299|pull_request:5759", + "pull_request:7200|pull_request:7919", + "pull_request:10941|pull_request:9676", + "pull_request:326|pull_request:359", + "pull_request:326|pull_request:360", + "pull_request:5898|pull_request:6330", + "pull_request:7246|pull_request:9206", + "pull_request:8797|pull_request:9206", + "pull_request:13121|pull_request:13217" + ], + "prepared_review_unit_hash": "af003c04f677d177fb881bca8dd4bde44441e2d5baf6c7a73d7e8847358d6b4d", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 104201, + "estimated_input_tokens": 26051, + "estimated_eval_tokens": 52358 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a set of loosely similar but mostly unrelated PRs spanning docs, type hints, scheduler fixes, training scripts, and separate pipeline features. 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separate changes." + }, + { + "left": "pull_request:11635", + "right": "pull_request:11897", + "accept": false, + "reason": "No shared underlying change: Flux Kontext pipeline docs/code vs a broad test-merge workflow/docs update." + }, + { + "left": "pull_request:2322", + "right": "pull_request:433", + "accept": false, + "reason": "Completely unrelated changes across example inpaint code and build/dependency/doc updates." + }, + { + "left": "pull_request:2691", + "right": "pull_request:4294", + "accept": false, + "reason": "Both are rename/compatibility cleanups, but they touch different APIs and different model families." + }, + { + "left": "pull_request:391", + "right": "pull_request:416", + "accept": false, + "reason": "Different docs/features: PNDM docs vs broad model API docs reorganization." + }, + { + "left": "pull_request:12982", + "right": "pull_request:13002", + "accept": false, + "reason": "Both are Flux2/Klein-related, but 13002 is a broader modular support PR and not the same concrete change as 12982." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 268, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10105", + "pull_request:10200", + "pull_request:10579", + "pull_request:10704", + "pull_request:1128", + "pull_request:11366", + "pull_request:11384", + "pull_request:11571", + "pull_request:11572", + "pull_request:11726", + "pull_request:12315", + "pull_request:12324", + "pull_request:12496", + "pull_request:12522", + "pull_request:12523", + "pull_request:13150", + "pull_request:1338", + "pull_request:13454", + "pull_request:1926", + "pull_request:1966", + "pull_request:2470", + "pull_request:2693", + "pull_request:2959", + "pull_request:2968", + "pull_request:327", + "pull_request:3298", + "pull_request:344", + "pull_request:3586", + "pull_request:382", + "pull_request:396", + "pull_request:416", + "pull_request:4242", + "pull_request:4412", + "pull_request:5098", + "pull_request:5384", + "pull_request:6489", + "pull_request:6490", + "pull_request:689", + "pull_request:6961", + "pull_request:6962", + "pull_request:7247", + "pull_request:7941", + "pull_request:8322", + "pull_request:8452", + "pull_request:8761", + "pull_request:9008", + "pull_request:9065" + ], + "soft_pairs": [ + "pull_request:11571|pull_request:11572", + "pull_request:12496|pull_request:12523", + "pull_request:10105|pull_request:10704", + "pull_request:1338|pull_request:689", + "pull_request:1128|pull_request:1926", + "pull_request:11366|pull_request:11384", + "pull_request:10579|pull_request:9065", + "pull_request:2693|pull_request:4412", + "pull_request:2968|pull_request:4412", + "pull_request:5098|pull_request:6962", + "pull_request:12522|pull_request:13454", + "pull_request:11726|pull_request:12324", + "pull_request:12315|pull_request:13150", + "pull_request:3298|pull_request:4242", + "pull_request:6489|pull_request:6490", + "pull_request:8322|pull_request:9008", + "pull_request:7247|pull_request:7941", + "pull_request:10200|pull_request:8761", + "pull_request:327|pull_request:344", + "pull_request:3586|pull_request:5384", + "pull_request:2470|pull_request:2959", + "pull_request:382|pull_request:396", + "pull_request:382|pull_request:416", + "pull_request:1926|pull_request:1966", + "pull_request:6961|pull_request:8452" + ], + "prepared_review_unit_hash": "aaccddd59e8034fed4ffa8aed1f6b498d8933b039402db74230bb8a7c8ce50cf", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 25, + "serialized_chars": 98269, + "estimated_input_tokens": 24568, + "estimated_eval_tokens": 49392 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly false-positive similarity matches: the PRs share broad library areas or wording, but they fix different code paths, docs, tests, or feature additions. 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not the same underlying issue." + }, + { + "left": "pull_request:1338", + "right": "pull_request:689", + "accept": false, + "reason": "ONNX inpaint cast-order bug fix vs attention performance change for tests; unrelated." + }, + { + "left": "pull_request:1128", + "right": "pull_request:1926", + "accept": false, + "reason": "Tensor input support in inpaint pipeline vs OneFlow stable diffusion support; different frameworks and changes." + }, + { + "left": "pull_request:11366", + "right": "pull_request:11384", + "accept": false, + "reason": "Both touch the HiDream transformer, but one changes outputs and the other only bumps a deprecation version." + }, + { + "left": "pull_request:10579", + "right": "pull_request:9065", + "accept": false, + "reason": "Community pipeline addition vs sentencepiece soft-dependency support; unrelated changes." + }, + { + "left": "pull_request:2693", + "right": "pull_request:4412", + "accept": false, + "reason": "Doc image link fix vs float16 inference test fix; not the same bug." + }, + { + "left": "pull_request:2968", + "right": "pull_request:4412", + "accept": false, + "reason": "Img2img post-processing fix vs a test setup tweak; different concerns." + }, + { + "left": "pull_request:5098", + "right": "pull_request:6962", + "accept": false, + "reason": "Kandinsky precision test fixes vs PixArt slow-test fixes; both are test-related only at a broad level." + }, + { + "left": "pull_request:12522", + "right": "pull_request:13454", + "accept": false, + "reason": "Toctree styling cleanup vs CLIP-related xfail annotations; unrelated maintenance." + }, + { + "left": "pull_request:11726", + "right": "pull_request:12324", + "accept": false, + "reason": "Wan LoRA conversion support vs Wan2.2 VACE pipeline/conversion work; distinct model families and changes." + }, + { + "left": "pull_request:12315", + "right": "pull_request:13150", + "accept": false, + "reason": "Lora test scheduler simplification vs user-controlled recompile limit in compile tests; unrelated test infrastructure edits." + }, + { + "left": "pull_request:3298", + "right": "pull_request:4242", + "accept": false, + "reason": "Arbitrary aspect ratio support in IF superresolution vs single-file VAE loading docs/code; different features." + }, + { + "left": "pull_request:6489", + "right": "pull_request:6490", + "accept": false, + "reason": "Two different community pipelines; same README touchpoint only, not the same change." + }, + { + "left": "pull_request:8322", + "right": "pull_request:9008", + "accept": false, + "reason": "Both are errata-style cleanups, but they fix different scattered typos/formatting across different files." + }, + { + "left": "pull_request:7247", + "right": "pull_request:7941", + "accept": false, + "reason": "Single-file config checking tests vs marking a slow test class; not duplicate work." + }, + { + "left": "pull_request:10200", + "right": "pull_request:8761", + "accept": false, + "reason": "StableDiffusionXLControlNetUnion refactor vs Hunyuan embedding refactor; unrelated model code." + }, + { + "left": "pull_request:327", + "right": "pull_request:344", + "accept": false, + "reason": "Type hints for PNDM pipeline vs type hints for VAE models; separate API surfaces." + }, + { + "left": "pull_request:3586", + "right": "pull_request:5384", + "accept": false, + "reason": "Community tiling pipeline vs hypernetwork support; 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the items span unrelated features, fixes, docs, and tests, so choosing one would be misleading.", + "best_issue_reason": null, + "best_pr_reason": "No PR is a good global representative here because the cluster is not centered on one concrete code-path change or bugfix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4098", + "right": "pull_request:4408", + "accept": false, + "reason": "Both touch SDXL inpainting, but one adds the feature while the other fixes from_single_file conversion; different code paths and not mergeable as one PR." + }, + { + "left": "pull_request:11916", + "right": "pull_request:12549", + "accept": false, + "reason": "Both are attention-backend work, but one is a broad dispatcher refactor and the other adds an AITER backend; distinct changes." + }, + { + "left": "pull_request:12530", + "right": "pull_request:13454", + "accept": false, + "reason": "Both xfail tests, but they target different failing tests and different transformers regressions; not the same bug." + }, + { + "left": "pull_request:2892", + "right": "pull_request:4412", + "accept": false, + "reason": "One fixes upscaler input validation, the other adjusts a float16 inference test; unrelated changes." + }, + { + "left": "pull_request:4780", + "right": "pull_request:5151", + "accept": false, + "reason": "PEFT integration and later LoRA deprecation cleanup overlap in subsystem, but they are different refactors with different goals." + }, + { + "left": "pull_request:2464", + "right": "pull_request:3912", + "accept": false, + "reason": "Same training script, but one removes an xFormers branch while the other adds text-encoder finetuning support; different features." + }, + { + "left": "pull_request:12006", + "right": "pull_request:12496", + "accept": false, + "reason": "Both are Wan i2v related, but one adds a 5b feature and the other fixes a latent-frame shape mismatch; not the same underlying change." + }, + { + "left": "pull_request:10330", + "right": "pull_request:10815", + "accept": false, + "reason": "LTX Video release/update versus Enhance-A-Video hook implementation; unrelated PRs." + }, + { + "left": "pull_request:10431", + "right": "pull_request:10537", + "accept": false, + "reason": "Both Sana-related, but one fixes positional embedding behavior and the other changes 4K pipeline defaults/docs; distinct changes." + }, + { + "left": "pull_request:11556", + "right": "pull_request:12092", + "accept": false, + "reason": "Documentation-only PRs for different topics (regional compilation vs GGUF checkpoints); not duplicates." + }, + { + "left": "pull_request:11986", + "right": "pull_request:12763", + "accept": false, + "reason": "Different modular pipelines for different models (LTX vs Flux2); unrelated implementations." + }, + { + "left": "pull_request:12647", + "right": "pull_request:13039", + "accept": false, + "reason": "One skips a test in CI, the other changes Wan layerwise upcasting math; different issues entirely." + }, + { + "left": "pull_request:12961", + "right": "pull_request:13331", + "accept": false, + "reason": "PhotoDoodle community README addition versus CogVideoX inpaint pipeline implementation; unrelated." + }, + { + "left": "pull_request:1982", + "right": "pull_request:802", + "accept": false, + "reason": "Example test path update versus a documentation indentation fix; no shared underlying bug." + }, + { + "left": "pull_request:2367", + "right": "pull_request:3657", + "accept": false, + "reason": "Training-script checkpoint limiting versus controlnet conversion CLI parsing; unrelated scripts and problems." + }, + { + "left": "pull_request:2593", + "right": "pull_request:3657", + "accept": false, + "reason": "Same conversion script, but one adds ControlNet conversion support while the other tweaks argument parsing; not the same change." + }, + { + "left": "pull_request:6633", + "right": "pull_request:6961", + "accept": false, + "reason": "Reading checkpoint config from file versus fast tests for single-file loaders; different code paths and goals." + }, + { + "left": "pull_request:11252", + "right": "pull_request:9696", + "accept": false, + "reason": "Utility timeout constant change versus workflow input/validation fixes; unrelated." + }, + { + "left": "pull_request:11916", + "right": "pull_request:12387", + "accept": false, + "reason": "Both touch attention dispatch, but one is a large backend refactor and the other adds flash_hub support; different concrete changes." + }, + { + "left": "pull_request:6426", + "right": "pull_request:7116", + "accept": false, + "reason": "LoRA deprecation cleanup versus workflow dependency-install changes; unrelated." + }, + { + "left": "pull_request:1788", + "right": "pull_request:3607", + "accept": false, + "reason": "DDIM sampler fix versus attention/temb handling changes; completely different subsystems." + }, + { + "left": "pull_request:2367", + "right": "pull_request:4187", + "accept": false, + "reason": "Checkpoint retention for training scripts versus DPMSolver timestep handling; unrelated bugs/features." + }, + { + "left": "pull_request:6759", + "right": "pull_request:8937", + "accept": false, + "reason": "InstantID embedding repetition fix versus AuraFlow long-prompt handling; separate pipelines and issues." + }, + { + "left": "pull_request:12593", + "right": "pull_request:12679", + "accept": false, + "reason": "ChronoEdit core pipeline/model addition versus adding multiple LoRA support in its docs/loader path; related project area but not the same change." + }, + { + "left": "pull_request:7825", + "right": "pull_request:9676", + "accept": false, + "reason": "Modeling-common test guards versus an import-path fix in benchmarks; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 270, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10330", + "pull_request:10537", + "pull_request:10538", + "pull_request:10547", + "pull_request:11174", + "pull_request:11995", + "pull_request:12387", + "pull_request:12454", + "pull_request:12549", + "pull_request:12644", + "pull_request:12934", + "pull_request:12983", + "pull_request:13158", + "pull_request:13208", + "pull_request:13216", + "pull_request:13223", + "pull_request:1878", + "pull_request:1913", + "pull_request:2327", + "pull_request:2593", + "pull_request:2706", + "pull_request:2919", + "pull_request:2959", + "pull_request:3292", + "pull_request:3806", + "pull_request:382", + "pull_request:386", + "pull_request:390", + "pull_request:391", + "pull_request:392", + "pull_request:404", + "pull_request:417", + "pull_request:4242", + "pull_request:4262", + "pull_request:4963", + "pull_request:5506", + "pull_request:5615", + "pull_request:5665", + "pull_request:5837", + "pull_request:6764", + "pull_request:6886", + "pull_request:6994", + "pull_request:7200", + "pull_request:7246", + "pull_request:7941", + "pull_request:8512", + "pull_request:8652", + "pull_request:9251" + ], + "soft_pairs": [ + "pull_request:1913|pull_request:3292", + "pull_request:2327|pull_request:2706", + "pull_request:2593|pull_request:3806", + "pull_request:5665|pull_request:6994", + "pull_request:2919|pull_request:2959", + "pull_request:7246|pull_request:7941", + "pull_request:11995|pull_request:12454", + "pull_request:12934|pull_request:12983", + "pull_request:13208|pull_request:13216", + "pull_request:10330|pull_request:11174", + "pull_request:12644|pull_request:13158", + "pull_request:382|pull_request:391", + "pull_request:386|pull_request:392", + "pull_request:386|pull_request:404", + "pull_request:386|pull_request:417", + "pull_request:390|pull_request:392", + "pull_request:390|pull_request:404", + "pull_request:390|pull_request:417", + "pull_request:5506|pull_request:7200", + "pull_request:13216|pull_request:13223", + "pull_request:10537|pull_request:10538", + "pull_request:10547|pull_request:9251", + "pull_request:1878|pull_request:2593", + "pull_request:4242|pull_request:5837", + "pull_request:4262|pull_request:5837", + "pull_request:4963|pull_request:5615", + "pull_request:6764|pull_request:8652", + "pull_request:6886|pull_request:8512", + "pull_request:12387|pull_request:12549" + ], + "prepared_review_unit_hash": "d474e0fec59f85eb0ac8c86aa436b0d4cbad95ed33a88febc3c9e6932669bee9", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 104580, + "estimated_input_tokens": 26145, + "estimated_eval_tokens": 52546 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The candidate pairs are mostly thematically related but refer to different code paths or separate features, so I would reject all soft edges as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "No single PR is a good global canonical here: the items span unrelated model families, docs, tests, loaders, and attention backends, so none can safely subsume the rest.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1913", + "right": "pull_request:3292", + "accept": false, + "reason": "Different changes: input validation in img2img vs training-time input perturbation; not the same bug or fix." + }, + { + "left": "pull_request:2327", + "right": "pull_request:2706", + "accept": false, + "reason": "One speeds up a test fixture; the other changes EMA save/restore in training. Same area, different change." + }, + { + "left": "pull_request:2593", + "right": "pull_request:3806", + "accept": false, + "reason": "ControlNet conversion support is unrelated to a README note about loading from checkpoint." + }, + { + "left": "pull_request:5665", + "right": "pull_request:6994", + "accept": false, + "reason": "One fixes controlnet img2img preprocessing; the other passes torch_dtype in single-file loading. 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No overlap in bug/change." + }, + { + "left": "pull_request:1878", + "right": "pull_request:2593", + "accept": false, + "reason": "Stable Diffusion checkpoint handling and ControlNet conversion are unrelated converter changes." + }, + { + "left": "pull_request:4242", + "right": "pull_request:5837", + "accept": false, + "reason": "Allowing VAE loading from single file is unrelated to allowing multiple textual inversion tokens." + }, + { + "left": "pull_request:4262", + "right": "pull_request:5837", + "accept": false, + "reason": "SDXL DreamBooth LoRA fixes and textual inversion multi-token support address different parts of the library." + }, + { + "left": "pull_request:4963", + "right": "pull_request:5615", + "accept": false, + "reason": "CI installing accelerate main and reverting SDXL adapter LoRA loading are unrelated." + }, + { + "left": "pull_request:6764", + "right": "pull_request:8652", + "accept": false, + "reason": "PEFT serialization docs and Lumina-T2X feature addition are unrelated." + }, + { + "left": "pull_request:6886", + "right": "pull_request:8512", + "accept": false, + "reason": "Deprecated to() dtype cleanup and removing prepare_mask_and_masked_image are unrelated changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 271, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10021", + "pull_request:10063", + "pull_request:10105", + "pull_request:10136", + "pull_request:10148", + "pull_request:10245", + "pull_request:10326", + "pull_request:10815", + "pull_request:10983", + "pull_request:11001", + "pull_request:11058", + "pull_request:11231", + "pull_request:11269", + "pull_request:11613", + "pull_request:11614", + "pull_request:11660", + "pull_request:12490", + "pull_request:13338", + "pull_request:13365", + "pull_request:13454", + "pull_request:2915", + "pull_request:3160", + "pull_request:326", + "pull_request:3351", + "pull_request:344", + "pull_request:3471", + "pull_request:3806", + "pull_request:4395", + "pull_request:4412", + "pull_request:4572", + "pull_request:5053", + "pull_request:5393", + "pull_request:5665", + "pull_request:5788", + "pull_request:6426", + "pull_request:6743", + "pull_request:6752", + "pull_request:7113", + "pull_request:7200", + "pull_request:7359", + "pull_request:7627", + "pull_request:7938", + "pull_request:8512", + "pull_request:8684", + "pull_request:8797", + "pull_request:9049", + "pull_request:9159" + ], + "soft_pairs": [ + "pull_request:10021|pull_request:10815", + "pull_request:13338|pull_request:13365", + "pull_request:326|pull_request:344", + "pull_request:3471|pull_request:3806", + "pull_request:3806|pull_request:4395", + "pull_request:4572|pull_request:5393", + "pull_request:5053|pull_request:6743", + "pull_request:5665|pull_request:7627", + "pull_request:5788|pull_request:7200", + "pull_request:6426|pull_request:8512", + "pull_request:10063|pull_request:10105", + "pull_request:10245|pull_request:8684", + "pull_request:3160|pull_request:3351", + "pull_request:10326|pull_request:8797", + "pull_request:7113|pull_request:7938", + "pull_request:11613|pull_request:11614", + "pull_request:12490|pull_request:13454", + "pull_request:10136|pull_request:10983", + "pull_request:11001|pull_request:11058", + "pull_request:2915|pull_request:4412", + "pull_request:11231|pull_request:11660", + "pull_request:9049|pull_request:9159", + "pull_request:6752|pull_request:7359", + "pull_request:10148|pull_request:11269" + ], + "prepared_review_unit_hash": "9041fbce2db5fbf72e3360aa35456bf9345590e5245113fb7fa6f240c5677dd7", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 24, + "serialized_chars": 98709, + "estimated_input_tokens": 24678, + "estimated_eval_tokens": 49612 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a mix of unrelated docs, tests, CI, and feature PRs. 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unrelated." + }, + { + "left": "pull_request:6752", + "right": "pull_request:7359", + "accept": false, + "reason": "Different community research projects: PromptDiffusion vs ResAdapter." + }, + { + "left": "pull_request:10148", + "right": "pull_request:11269", + "accept": false, + "reason": "OmniGen feature PR vs ONNX Runtime backend availability update; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 255, + "review_unit_index": 272, + "review_unit_count": 272, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1-3016", + "nodes": [ + "pull_request:10431", + "pull_request:11142", + "pull_request:12450", + "pull_request:12491", + "pull_request:1878", + "pull_request:2892", + "pull_request:3298", + "pull_request:3586", + "pull_request:3589", + "pull_request:3806", + "pull_request:4749", + "pull_request:5672", + "pull_request:6450", + "pull_request:6886", + "pull_request:7116", + "pull_request:8386", + "pull_request:8719" + ], + "soft_pairs": [ + "pull_request:10431|pull_request:11142", + "pull_request:12450|pull_request:12491", + "pull_request:1878|pull_request:3806", + "pull_request:2892|pull_request:3298", + "pull_request:3586|pull_request:3589", + "pull_request:3586|pull_request:5672", + "pull_request:4749|pull_request:6450", + "pull_request:6886|pull_request:8719", + "pull_request:7116|pull_request:8386" + ], + "prepared_review_unit_hash": "3c7022aac81aed87d5a1ffc9c8ec29ce6d35f735b92dfb883ab59bc39c9c067d", + "component_budget": { + "node_count": 3016, + "item_count": 3016, + "soft_pair_count": 7644, + "serialized_chars": 8718284, + "estimated_input_tokens": 2179571, + "estimated_eval_tokens": 4359398 + }, + "budget": { + "node_count": 17, + "item_count": 17, + "soft_pair_count": 9, + "serialized_chars": 36174, + "estimated_input_tokens": 9044, + "estimated_eval_tokens": 18344 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft pairs are mostly false positives: they share broad subsystems like CI, pipelines, or examples, but each PR fixes a different code path or documents a different behavior. No duplicate cluster emerges.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single pull request is a good canonical anchor here; the items span unrelated changes, so picking one would be misleading.", + "best_issue_reason": null, + "best_pr_reason": "No PR cleanly represents a dedupe cluster because these are not the same underlying fix/change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10431", + "right": "pull_request:11142", + "accept": false, + "reason": "Different Sana changes: one fixes positional embedding handling in the transformer, the other updates Sana-Sprint conversion/config loading. Not the same bug." + }, + { + "left": "pull_request:12450", + "right": "pull_request:12491", + "accept": false, + "reason": "Both touch CI, but 12450 revises dependency installation broadly while 12491 adds a docs link-check job. 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Different underlying change." + }, + { + "left": "pull_request:3586", + "right": "pull_request:5672", + "accept": false, + "reason": "Unrelated pipelines and features: StableDiffusionTilingPipeline vs PixArt non-square image support." + }, + { + "left": "pull_request:4749", + "right": "pull_request:6450", + "accept": false, + "reason": "4749 fixes SDXL DreamBooth LoRA checkpoint loading; 6450 is a LoRA deprecation/test cleanup. Not the same code-path problem." + }, + { + "left": "pull_request:6886", + "right": "pull_request:8719", + "accept": false, + "reason": "6886 removes deprecated torch_dtype usage across converters/pipeline utils; 8719 only updates VQ model output deprecation docs. Different scope." + }, + { + "left": "pull_request:7116", + "right": "pull_request:8386", + "accept": false, + "reason": "CI install workflow changes and test dummy-input/output-shape refactors are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 2, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9562-4", + "nodes": [ + "pull_request:10009", + "pull_request:10163", + "pull_request:10347", + "pull_request:9562" + ], + "soft_pairs": [ + "pull_request:10009|pull_request:9562", + "pull_request:10163|pull_request:9562", + "pull_request:10347|pull_request:9562", + "pull_request:10009|pull_request:10163", + "pull_request:10009|pull_request:10347", + "pull_request:10163|pull_request:10347" + ], + "prepared_review_unit_hash": "3e73d48468252583a1dfe71f158bbfd33123f7aa4e76bea94aa942134590b530", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 15324, + "estimated_input_tokens": 3831, + "estimated_eval_tokens": 7918 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 15324, + "estimated_input_tokens": 3831, + "estimated_eval_tokens": 7918 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "False-positive cluster: these PRs share some infrastructure files and docs, but they implement four different features (TorchAO quantization, FasterCache, layerwise fp8 casting, and Pyramid Attention Broadcast). 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"b0bd9d390bb11078b089142859689ccd8652b51c78ac474c782703c899d19dd9", + "component_budget": { + "node_count": 36, + "item_count": 36, + "soft_pair_count": 83, + "serialized_chars": 105750, + "estimated_input_tokens": 26438, + "estimated_eval_tokens": 53132 + }, + "budget": { + "node_count": 36, + "item_count": 36, + "soft_pair_count": 72, + "serialized_chars": 95388, + "estimated_input_tokens": 23847, + "estimated_eval_tokens": 47950 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most of the true duplicate pairs are the distributed LR-scheduler fixes and the FP16/PEFT resume fixes. I rejected the broader SDXL DreamBooth LoRA feature-iteration pairing (3896 \u2194 4016) because it is a follow-up feature, not the same concrete bug/change, which makes the triage more conservative.", + "confidence": 0.77, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8461 is the clearest representative of the recurring distributed LR-scheduler bug-fix family, with direct duplicate-style follow-ups in 8446, 8476, and 9316.", + "best_issue_reason": null, + "best_pr_reason": "PR 8461 is the strongest global anchor: it is a merged, self-contained concrete bug fix and sits at the center of the largest true-duplicate family in the packet.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8461", + "right": "pull_request:9316", + "accept": true, + "reason": "Same distributed LR-scheduler bug fix applied to another example script." + }, + { + "left": "pull_request:8446", + "right": "pull_request:8461", + "accept": true, + "reason": "Same scheduler-calculation bug pattern in a different training example." + }, + { + "left": "pull_request:8461", + "right": "pull_request:9308", + "accept": true, + "reason": "Same LR-scheduler fix for distributed training, just in custom diffusion." + }, + { + "left": "pull_request:8476", + "right": "pull_request:9308", + "accept": true, + "reason": "Same underlying scheduler bug across different example scripts." + }, + { + "left": "pull_request:8446", + "right": "pull_request:9308", + "accept": true, + "reason": "Same distributed scheduler miscalculation bug, different example." + }, + { + "left": "pull_request:6514", + "right": "pull_request:7126", + "accept": false, + "reason": "FP16 resume-state fix vs EDM-style training feature; different changes." + }, + { + "left": "pull_request:4016", + "right": "pull_request:5778", + "accept": false, + "reason": "Different training families: SDXL DreamBooth LoRA vs LCM distillation." + }, + { + "left": "pull_request:4097", + "right": "pull_request:6514", + "accept": false, + "reason": "Text-encoder fine-tuning feature vs FP16 resume fix; not the same bug/change." + }, + { + "left": "pull_request:3896", + "right": "pull_request:4097", + "accept": false, + "reason": "Related SDXL DreamBooth LoRA work, but 4097 is a follow-up feature rather than the same concrete change." + }, + { + "left": "pull_request:6554", + "right": "pull_request:7126", + "accept": false, + "reason": "FP16 resume fix vs EDM-style training support; unrelated issues." + }, + { + "left": "pull_request:4016", + "right": "pull_request:4505", + "accept": false, + "reason": "Different example families: SDXL DreamBooth LoRA vs text-to-image SDXL training." + }, + { + "left": "pull_request:6554", + "right": "pull_request:7242", + "accept": false, + "reason": "Different bugs in the same script family: resume fix vs prior-preservation collate fix." + }, + { + "left": "pull_request:4097", + "right": "pull_request:4505", + "accept": false, + "reason": "Different features in different SDXL training scripts; not the same change." + }, + { + "left": "pull_request:5778", + "right": "pull_request:6514", + "accept": false, + "reason": "LCM LoRA SDXL training vs DreamBooth LoRA resume fix; different issues." + }, + { + "left": "pull_request:2031", + "right": "pull_request:4097", + "accept": false, + "reason": "Different training examples and changes; only broad text-to-image overlap." + }, + { + "left": "pull_request:4038", + "right": "pull_request:4097", + "accept": false, + "reason": "ControlNet SDXL support vs DreamBooth LoRA text-encoder fine-tuning; unrelated." + }, + { + "left": "pull_request:4097", + "right": "pull_request:5778", + "accept": false, + "reason": "Different training approaches and code paths." + }, + { + "left": "pull_request:3425", + "right": "pull_request:3560", + "accept": false, + "reason": "Both IF-related, but they target different scripts/features." + }, + { + "left": "pull_request:5778", + "right": "pull_request:7126", + "accept": false, + "reason": "Different training methods and scripts; not duplicate fixes." + }, + { + "left": "pull_request:4505", + "right": "pull_request:5778", + "accept": false, + "reason": "Text-to-image SDXL training vs LCM LoRA SDXL; different features." + }, + { + "left": "pull_request:6422", + "right": "pull_request:7126", + "accept": false, + "reason": "Diffusion DPO research project vs DreamBooth EDM training; unrelated." + }, + { + "left": "pull_request:2478", + "right": "pull_request:2978", + "accept": false, + "reason": "New InstructPix2Pix script vs later bug fix; not the same change." + }, + { + "left": "pull_request:2818", + "right": "pull_request:2859", + "accept": false, + "reason": "Flax training script addition vs streaming support; different changes." + }, + { + "left": "pull_request:5778", + "right": "pull_request:7242", + "accept": false, + "reason": "LCM distillation vs prior-preservation fix; unrelated bugs." + }, + { + "left": "pull_request:6751", + "right": "pull_request:7126", + "accept": false, + "reason": "Text-to-image LoRA mixed-precision fix vs EDM-style DreamBooth training; different problems." + }, + { + "left": "pull_request:6422", + "right": "pull_request:6554", + "accept": false, + "reason": "Diffusion DPO vs DreamBooth LoRA resume fix; unrelated." + }, + { + "left": "pull_request:4016", + "right": "pull_request:4038", + "accept": false, + "reason": "Different SDXL features and code paths; not the same underlying change." + }, + { + "left": "pull_request:3550", + "right": "pull_request:3896", + "accept": false, + "reason": "IF DreamBooth LoRA discussion/cleanup vs SDXL DreamBooth LoRA support; different code paths." + }, + { + "left": "pull_request:1110", + "right": "pull_request:1980", + "accept": false, + "reason": "Both ORT-related, but different example scripts and separate integrations." + }, + { + "left": "pull_request:6514", + "right": "pull_request:8446", + "accept": false, + "reason": "FP16 resume fix vs distributed LR-scheduler fix; different bugs." + }, + { + "left": "pull_request:2031", + "right": "pull_request:4016", + "accept": false, + "reason": "Different model family and training example." + }, + { + "left": "pull_request:2818", + "right": "pull_request:4038", + "accept": false, + "reason": "Flax/JAX training example vs SDXL ControlNet support; different implementations." + }, + { + "left": "pull_request:3810", + "right": "pull_request:4505", + "accept": false, + "reason": "Model-card/docs update vs SDXL text-to-image training script; not duplicate code change." + }, + { + "left": "pull_request:3360", + "right": "pull_request:3425", + "accept": false, + "reason": "Both DreamBooth IF-related, but one is LoRA-specific and the other is the full-script update." + }, + { + "left": "pull_request:1980", + "right": "pull_request:916", + "accept": false, + "reason": "Separate ORT integrations for different examples; not the same fix." + }, + { + "left": "pull_request:6514", + "right": "pull_request:8476", + "accept": false, + "reason": "FP16 resume fix vs scheduler fix; different bugs." + }, + { + "left": "pull_request:2031", + "right": "pull_request:3896", + "accept": false, + "reason": "Different features in different training examples." + }, + { + "left": "pull_request:2859", + "right": "pull_request:4505", + "accept": false, + "reason": "ControlNet JAX streaming support vs text-to-image SDXL training; unrelated." + }, + { + "left": "pull_request:3896", + "right": "pull_request:4038", + "accept": false, + "reason": "Different SDXL subsystems and different feature work." + }, + { + "left": "pull_request:2859", + "right": "pull_request:2978", + "accept": false, + "reason": "Streaming support vs multi-GPU bug fix; not the same issue." + }, + { + "left": "pull_request:1834", + "right": "pull_request:2978", + "accept": false, + "reason": "Text-to-image logging/model-card changes vs InstructPix2Pix multi-GPU fix." + }, + { + "left": "pull_request:7242", + "right": "pull_request:8743", + "accept": false, + "reason": "Prior-preservation setting fix vs SD3 LoRA resume bug; unrelated." + }, + { + "left": "pull_request:8461", + "right": "pull_request:8476", + "accept": true, + "reason": "Same distributed LR-scheduler bug family across example training scripts." + }, + { + "left": "pull_request:8446", + "right": "pull_request:8476", + "accept": true, + "reason": "Same scheduler-calculation bug, different example script." + }, + { + "left": "pull_request:6514", + "right": "pull_request:6554", + "accept": true, + "reason": "Same FP16/PEFT resume-state-dict bug family in LoRA training scripts." + }, + { + "left": "pull_request:8476", + "right": "pull_request:9316", + "accept": true, + "reason": "Same distributed LR-scheduler bug across example scripts." + }, + { + "left": "pull_request:8446", + "right": "pull_request:9316", + "accept": true, + "reason": "Same scheduler bug pattern; only the example script differs." + }, + { + "left": "pull_request:9308", + "right": "pull_request:9316", + "accept": true, + "reason": "Same distributed-training LR-scheduler fix family." + }, + { + "left": "pull_request:3896", + "right": "pull_request:4016", + "accept": false, + "reason": "This is a feature iteration, not the same bugfix; 4016 is the finished SDXL DreamBooth LoRA script, not a duplicate of the WIP 3896 PR." + }, + { + "left": "pull_request:7126", + "right": "pull_request:7242", + "accept": false, + "reason": "EDM-style training support vs a prior-preservation bug fix in the same script; different changes." + }, + { + "left": "pull_request:6514", + "right": "pull_request:6840", + "accept": true, + "reason": "Same resume-from-FP16 state-dict loading bug pattern across LoRA training scripts." + }, + { + "left": "pull_request:4016", + "right": "pull_request:4097", + "accept": false, + "reason": "4097 adds text-encoder fine-tuning on top of SDXL DreamBooth LoRA; follow-up feature, not the same change." + }, + { + "left": "pull_request:6514", + "right": "pull_request:7242", + "accept": false, + "reason": "FP16 resume fix vs prior-preservation fix; different issues." + }, + { + "left": "pull_request:4505", + "right": "pull_request:6751", + "accept": false, + "reason": "Base SDXL text-to-image training vs separate LoRA fine-tuning script fix; not the same concrete change." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "Most of the scheduler/resume pairings are grounded in the packet, but one soft-edge acceptance is too broad: pull_request:3896 \u2194 pull_request:4016 is a feature iteration (WIP SDXL DreamBooth LoRA support vs the later finished script), not clearly the same bugfix/duplicate PR. Given the conservative standard, that makes the result too eager overall. The summary is otherwise reasonable, but I would not accept it as-is." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 6, + "component_count": 255, + "review_unit_index": 2, + "review_unit_count": 2, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-916-36", + "nodes": [ + "pull_request:1007", + "pull_request:1110", + "pull_request:1225", + "pull_request:5778", + "pull_request:6514", + "pull_request:6554", + "pull_request:6751", + "pull_request:6840", + "pull_request:7242", + "pull_request:916" + ], + "soft_pairs": [ + "pull_request:6554|pull_request:6840", + "pull_request:1110|pull_request:1225", + "pull_request:1007|pull_request:1110", + "pull_request:1007|pull_request:1225", + "pull_request:6751|pull_request:6840", + "pull_request:6751|pull_request:7242", + "pull_request:5778|pull_request:6840", + "pull_request:1007|pull_request:916", + "pull_request:1110|pull_request:916", + "pull_request:1225|pull_request:916", + "pull_request:6514|pull_request:6751" + ], + "prepared_review_unit_hash": "47c27aeac67cfe5c57e019bec25a360ecb6789f25bc2933ad180472733ca9da4", + "component_budget": { + "node_count": 36, + "item_count": 36, + "soft_pair_count": 83, + "serialized_chars": 105750, + "estimated_input_tokens": 26438, + "estimated_eval_tokens": 53132 + }, + "budget": { + "node_count": 10, + "item_count": 10, + "soft_pair_count": 11, + "serialized_chars": 23329, + "estimated_input_tokens": 5833, + "estimated_eval_tokens": 11922 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a mix of two loose duplicate themes: ORT integration for the unconditional image example, and fp16/PEFT resume fixes across different training scripts. Only the closest pairs look like true duplicates; the rest are similar only at the subsystem level.", + "confidence": 0.61, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1110 is the clearest canonical PR for the ORT subgroup: it is merged, complete, and includes the example/docs update for ORT-enabled unconditional training.", + "best_issue_reason": null, + "best_pr_reason": "PR 1110 is the strongest representative artifact overall because it is merged and the most complete version of the ORT integration change set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6554", + "right": "pull_request:6840", + "accept": true, + "reason": "Both fix LoRA training resume under fp16 by restoring PEFT state dicts; same underlying resume bug pattern across SDXL example scripts." + }, + { + "left": "pull_request:1110", + "right": "pull_request:1225", + "accept": false, + "reason": "Both are ORT-related, but one adds a standalone ORT training script/docs while the other adds an args.ort flag to the main script; different concrete implementation." + }, + { + "left": "pull_request:1007", + "right": "pull_request:1110", + "accept": false, + "reason": "Same broad ORT feature area, but 1007 changes core model/pipeline behavior while 1110 is a separate ORT example/docs follow-up." + }, + { + "left": "pull_request:1007", + "right": "pull_request:1225", + "accept": false, + "reason": "Different ORT implementations and code paths; not the same concrete change." + }, + { + "left": "pull_request:6751", + "right": "pull_request:6840", + "accept": false, + "reason": "Both touch mixed-precision/LoRA state handling, but they target different example pipelines and failure modes." + }, + { + "left": "pull_request:6751", + "right": "pull_request:7242", + "accept": false, + "reason": "Different feature areas: SDXL text-to-image fine-tuning resume vs DreamBooth prior-preservation collation." + }, + { + "left": "pull_request:5778", + "right": "pull_request:6840", + "accept": false, + "reason": "Unrelated changes: LCM LoRA docs/dataset example versus fp16 resume bug fixes." + }, + { + "left": "pull_request:1007", + "right": "pull_request:916", + "accept": false, + "reason": "Same broad ORT theme, but 916 adds a standalone ORT training script while 1007 modifies existing model/pipeline internals; not one duplicate change." + }, + { + "left": "pull_request:1110", + "right": "pull_request:916", + "accept": true, + "reason": "Both implement the same ORT-enabled unconditional-image training change; 1110 looks like the later, more complete version with docs." + }, + { + "left": "pull_request:1225", + "right": "pull_request:916", + "accept": false, + "reason": "Flag-based ORT integration versus standalone ORT script; similar goal, but different change set and code path." + }, + { + "left": "pull_request:6514", + "right": "pull_request:6751", + "accept": false, + "reason": "Both are fp16/PEFT resume fixes, but for different training scripts and not the same concrete code path." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 7, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-52-3", + "nodes": [ + "pull_request:1008", + "pull_request:52", + "pull_request:85" + ], + "soft_pairs": [ + "pull_request:52|pull_request:85", + "pull_request:1008|pull_request:52" + ], + "prepared_review_unit_hash": "d1fea38def82d49544e2200ee780c04bfa34624593bdcea3112979be47713bc2", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6605, + "estimated_input_tokens": 1652, + "estimated_eval_tokens": 3560 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6605, + "estimated_input_tokens": 1652, + "estimated_eval_tokens": 3560 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The cluster contains three separate pull requests: one documentation cleanup and two different UNet refactors touching different model codepaths. They are related by broad theme only, not the same underlying change.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #52 is the most substantive and representative code change in the cluster, but it does not cover the others; the items are not duplicates of one another.", + "best_issue_reason": null, + "best_pr_reason": "PR #52 is the strongest standalone PR here because it makes a concrete model implementation cleanup/refactor, whereas #85 is a different UNet cleanup and #1008 is documentation-only.", + "soft_edge_verdicts": [ + { + "left": "pull_request:52", + "right": "pull_request:85", + "accept": false, + "reason": "Both touch UNet-related code, but they modify different files and different model variants (`unet_sde_score_estimation` vs `unet_new`/`unet_unconditional`) with different refactor goals; not the same concrete change." + }, + { + "left": "pull_request:1008", + "right": "pull_request:52", + "accept": false, + "reason": "#1008 is a docs cleanup while #52 changes core model code; they do not fix the same underlying bug or implement the same feature." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 8, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10081-2", + "nodes": [ + "pull_request:10081", + "pull_request:10116" + ], + "soft_pairs": [ + "pull_request:10081|pull_request:10116" + ], + "prepared_review_unit_hash": "956ec3a44cd96cd78ff98cb4faaf8fe7ae0b4ff0d2effa2292cce032a7832873", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5368, + "estimated_input_tokens": 1342, + "estimated_eval_tokens": 2940 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5368, + "estimated_input_tokens": 1342, + "estimated_eval_tokens": 2940 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged PRs add `sigmas` support to different pipeline families in Diffusers. They are related in theme and implementation pattern, but they target distinct code paths and should not be treated as duplicates.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10116 is the broader and more representative change: it updates multiple FlowMatch-based pipelines across SD3, Lumina, PAG, and Aura Flow, making it the best canonical PR for this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #10116 is the best overall representative because it covers the larger, more general `sigmas` API migration across FlowMatch pipelines; PR #10081 is a narrower Flux-only variant.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10081", + "right": "pull_request:10116", + "accept": false, + "reason": "Both PRs add a similar `sigmas` parameter to pipeline APIs, but they touch different pipeline families (Flux vs FlowMatch/SD3/Lumina/PAG) and are separate code-path changes, not one mergeable duplicate fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 9, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9776-2", + "nodes": [ + "pull_request:10131", + "pull_request:9776" + ], + "soft_pairs": [ + "pull_request:10131|pull_request:9776" + ], + "prepared_review_unit_hash": "1e418c24bcd8073afdd21e35c0eda6465a2ae5502d42ff9358281db8b77a2282", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6117, + "estimated_input_tokens": 1530, + "estimated_eval_tokens": 3316 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6117, + "estimated_input_tokens": 1530, + "estimated_eval_tokens": 3316 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests implement the same feature, Add ControlNetUnion, and touch the same core code paths and pipeline/model files. The merged PR 10131 appears to be the later, more complete version with updated docs layout, so it should be the canonical PR.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10131 is merged and covers the same ControlNetUnion implementation as 9776, with overlapping source files and documentation updates; it is the best representative of this change set.", + "best_issue_reason": null, + "best_pr_reason": "10131 is the best PR because it is merged, has the same explicit target issue 9772, and includes the finalized docs/source organization for the same ControlNetUnion feature.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10131", + "right": "pull_request:9776", + "accept": true, + "reason": "Same feature and same underlying implementation work: both add ControlNetUnion, modify the same pipeline/model files, and target the same issue. This is a true duplicate/near-duplicate PR pair." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 10, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10155-3", + "nodes": [ + "pull_request:10155", + "pull_request:10156", + "pull_request:10161" + ], + "soft_pairs": [ + "pull_request:10155|pull_request:10161", + "pull_request:10156|pull_request:10161" + ], + "prepared_review_unit_hash": "cb199d9273ffdaa612480432927b1ec4bddcd7c84dc69a98953180a3665d2e1c", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7436, + "estimated_input_tokens": 1859, + "estimated_eval_tokens": 3974 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7436, + "estimated_input_tokens": 1859, + "estimated_eval_tokens": 3974 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three items are related to positional embedding helpers in `embeddings.py`, but they are different changes: 2D rotary, 2D/3D sincos, and 3D rotary/allegro. They should not be deduplicated.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10156 is the broadest core-utility change: it updates both 2D and 3D sincos embedding helpers and has multiple downstream call-site updates, making it the best representative of the cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR 10156 is the best overall PR candidate because it is the most foundational and broadly applicable embedding utility update in the set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10155", + "right": "pull_request:10161", + "accept": false, + "reason": "Both touch `embeddings.py`, but they fix different code paths: 2D rotary embeddings for HunYuanDiT image pipelines vs 3D rotary embeddings for CogVideo/Allegro. Different helper functions and different model families, so not the same change." + }, + { + "left": "pull_request:10156", + "right": "pull_request:10161", + "accept": false, + "reason": "One converts 2D/3D sincos helpers to accept `device`/`torch` outputs, while the other converts 3D rotary helpers. Same general area, but not the same underlying bug or mergeable fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 11, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10173-2", + "nodes": [ + "pull_request:10173", + "pull_request:10509" + ], + "soft_pairs": [ + "pull_request:10173|pull_request:10509" + ], + "prepared_review_unit_hash": "f0b8af3575739dfd3a8e761ec00656307c2f7d5f198b743c87ddd29e9cf318fa", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4386, + "estimated_input_tokens": 1097, + "estimated_eval_tokens": 2450 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4386, + "estimated_input_tokens": 1097, + "estimated_eval_tokens": 2450 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two unrelated merged PRs that happen to touch the same modular SDXL pipeline file: one adds Modular APG / guidance changes, the other adds SDXL ControlNet Union denoise-step logic. They should not be treated as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical PR: the changes target different features and code paths, so neither PR subsumes the other.", + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a strong global representative because they are separate changes; if forced, 10509 is slightly more self-contained and specific, but it is not a duplicate of 10173.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10173", + "right": "pull_request:10509", + "accept": false, + "reason": "Reject: they share a modular SDXL file but implement different functionality\u2014APG/guidance vs ControlNet Union denoising. Different concrete code paths, not mergeable as one duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 12, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10189-2", + "nodes": [ + "pull_request:10189", + "pull_request:10714" + ], + "soft_pairs": [ + "pull_request:10189|pull_request:10714" + ], + "prepared_review_unit_hash": "cfd9d4f226a65ff97593a7f97f1eb43bd0ee94316a99ff70fc5715970991f50b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4024, + "estimated_input_tokens": 1006, + "estimated_eval_tokens": 2268 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4024, + "estimated_input_tokens": 1006, + "estimated_eval_tokens": 2268 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs touch the same file but address different changes: #10189 adds runtime model-type validation in `from_pretrained`, while #10714 only adds a `Self` return annotation for type inference.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "#10189 is the more substantive representative of the cluster because it fixes actual `from_pretrained` behavior by checking the passed model type; #10714 is only a typing/annotation change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10189", + "right": "pull_request:10714", + "accept": false, + "reason": "Different underlying changes: runtime type-checking fix vs. return-type hint only. They do not appear mergeable into one PR as the same bug/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 13, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9093-8", + "nodes": [ + "pull_request:10228", + "pull_request:10254", + "pull_request:9093", + "pull_request:9150", + "pull_request:9302", + "pull_request:9312", + "pull_request:9389", + "pull_request:9482" + ], + "soft_pairs": [ + "pull_request:9093|pull_request:9150", + "pull_request:9093|pull_request:9302", + "pull_request:9093|pull_request:9389", + "pull_request:9093|pull_request:9482", + "pull_request:9150|pull_request:9302", + "pull_request:9150|pull_request:9389", + "pull_request:9150|pull_request:9482", + "pull_request:9150|pull_request:9312", + "pull_request:9302|pull_request:9482", + "pull_request:9302|pull_request:9389", + "pull_request:10254|pull_request:9302", + "pull_request:10228|pull_request:9482", + "pull_request:10254|pull_request:9482", + "pull_request:10228|pull_request:10254", + "pull_request:10254|pull_request:9150" + ], + "prepared_review_unit_hash": "ecf3ccbcaef459b4f8b032517f1fdb1ea24c2eeb72e26a75e4dd21a1a3660102", + "component_budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 15, + "serialized_chars": 24940, + "estimated_input_tokens": 6235, + "estimated_eval_tokens": 12726 + }, + "budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 15, + "serialized_chars": 24940, + "estimated_input_tokens": 6235, + "estimated_eval_tokens": 12726 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The cluster is thematically related to CogVideoX and LoRA, but it mixes distinct changes: dynamic CFG/tiled decoding, LoRA training examples, FreeNoise experimentation, and separate LTX/Hunyuan/L2V support. None of the PRs are true duplicates of each other.", + "confidence": 0.77, + "canonical_issue_reason": null, + "canonical_pr_reason": "If forced to pick one anchor, PR #9302 is the most central CogVideoX LoRA PR, but it is not a duplicate of the others; the cluster spans multiple separate features and models.", + "best_issue_reason": null, + "best_pr_reason": "PR #9302 is the best overall anchor because it is the foundational CogVideoX LoRA training PR and the closest common reference point for the later CogVideoX LoRA followups, though it still should not be merged with them as a duplicate.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9093", + "right": "pull_request:9150", + "accept": false, + "reason": "Both touch CogVideoX, but one is dynamic CFG and the other is tiled decoding/followup refactors; different concrete changes, not one duplicate fix." + }, + { + "left": "pull_request:9093", + "right": "pull_request:9302", + "accept": false, + "reason": "Dynamic CFG for CogVideoX is unrelated to adding a LoRA training example; same project area, but different change and code path." + }, + { + "left": "pull_request:9093", + "right": "pull_request:9389", + "accept": false, + "reason": "FreeNoise experimentation and dynamic CFG are separate CogVideoX behaviors, not the same underlying bug or feature." + }, + { + "left": "pull_request:9093", + "right": "pull_request:9482", + "accept": false, + "reason": "Dynamic CFG vs CogVideoX-I2V LoRA training are unrelated features and would not be merged as one PR." + }, + { + "left": "pull_request:9150", + "right": "pull_request:9302", + "accept": false, + "reason": "CogVideoX tiled decoding/refactor work is separate from LoRA training example support; they share files but not the same fix." + }, + { + "left": "pull_request:9150", + "right": "pull_request:9389", + "accept": false, + "reason": "Tiled decoding followups and FreeNoise are different CogVideoX pipeline experiments, not a single concrete change." + }, + { + "left": "pull_request:9150", + "right": "pull_request:9482", + "accept": false, + "reason": "One is pipeline/refactor and tiled decoding work, the other is image-to-video LoRA training; not duplicates." + }, + { + "left": "pull_request:9150", + "right": "pull_request:9312", + "accept": false, + "reason": "The shared files are incidental; this PR is CogVideoX pipeline work, not rotary-embedding comment/dtype cleanup." + }, + { + "left": "pull_request:9302", + "right": "pull_request:9482", + "accept": false, + "reason": "Both are CogVideoX LoRA training examples, but for different tasks/scripts (text-to-video vs image-to-video) and different code paths." + }, + { + "left": "pull_request:9302", + "right": "pull_request:9389", + "accept": false, + "reason": "LoRA training example additions and FreeNoise are unrelated CogVideoX changes." + }, + { + "left": "pull_request:10254", + "right": "pull_request:9302", + "accept": false, + "reason": "HunyuanVideo LoRA support is model-specific and distinct from CogVideoX LoRA training support." + }, + { + "left": "pull_request:10228", + "right": "pull_request:9482", + "accept": false, + "reason": "LTX Video LoRA support and CogVideoX-I2V LoRA are separate model families and separate feature additions." + }, + { + "left": "pull_request:10254", + "right": "pull_request:9482", + "accept": false, + "reason": "HunyuanVideo LoRA and CogVideoX-I2V LoRA are different model-specific integrations, not the same change." + }, + { + "left": "pull_request:10228", + "right": "pull_request:10254", + "accept": false, + "reason": "Both add LoRA support, but for different video models (LTX vs Hunyuan); too broad to treat as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 14, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10229-3", + "nodes": [ + "pull_request:10229", + "pull_request:10488", + "pull_request:11414" + ], + "soft_pairs": [ + "pull_request:10229|pull_request:10488", + "pull_request:10488|pull_request:11414" + ], + "prepared_review_unit_hash": "fd6069cc69d641b65ccc923a5effa3fbf20681395e2b6c1e2a86d4746f544b6a", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6576, + "estimated_input_tokens": 1644, + "estimated_eval_tokens": 3544 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6576, + "estimated_input_tokens": 1644, + "estimated_eval_tokens": 3544 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three PRs, all in video/VAE-related areas, but they do not represent the same duplicate change. The two feature PRs target different model implementations (LTX vs Wan), and the docs-only PR is unrelated to the code change path.", + "confidence": 0.81, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10488 is the best canonical representative: it is a focused code change in the LTX Video VAE, includes tests, and explicitly targets issue 10333. PR 11414 is broader and model-specific to Wan, while 10229 is docs-only.", + "best_issue_reason": null, + "best_pr_reason": "PR 10488 is the strongest standalone PR in the cluster because it addresses a concrete implementation gap, has explicit issue linkage, and is more directly tied to the core feature than the docs-only edit or the separate Wan implementation.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10229", + "right": "pull_request:10488", + "accept": false, + "reason": "Docs wording/formatting changes are not the same underlying code-path fix as the LTX VAE framewise encoding/decoding implementation." + }, + { + "left": "pull_request:10488", + "right": "pull_request:11414", + "accept": false, + "reason": "Both are VAE tiling-related features, but they target different model code paths (LTX vs Wan) and are separate model-specific implementations, not one mergeable duplicate change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 15, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10234-7", + "nodes": [ + "pull_request:10234", + "pull_request:11111", + "pull_request:11281", + "pull_request:11381", + "pull_request:11494", + "pull_request:11858", + "pull_request:12056" + ], + "soft_pairs": [ + "pull_request:10234|pull_request:11494", + "pull_request:10234|pull_request:11281", + "pull_request:10234|pull_request:11111", + "pull_request:10234|pull_request:11381", + "pull_request:11111|pull_request:11281", + "pull_request:11111|pull_request:11381", + "pull_request:11281|pull_request:11381", + "pull_request:11381|pull_request:11494", + "pull_request:11381|pull_request:12056", + "pull_request:11494|pull_request:12056", + "pull_request:11858|pull_request:12056" + ], + "prepared_review_unit_hash": "5e5d3ffd129d4a01ddd34eaedd42273c19c8b9e8bf8f816a3e244b178ee62c57", + "component_budget": { + "node_count": 7, + "item_count": 7, + "soft_pair_count": 11, + "serialized_chars": 19502, + "estimated_input_tokens": 4876, + "estimated_eval_tokens": 10008 + }, + "budget": { + "node_count": 7, + "item_count": 7, + "soft_pair_count": 11, + "serialized_chars": 19502, + "estimated_input_tokens": 4876, + "estimated_eval_tokens": 10008 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is thematically related (mostly LoRA/training docs and model support), but the PRs target different models and distinct changes, so they are not duplicates. I would not merge any soft-edge pair.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "If a single PR must serve as the anchor, pull_request:11281 is the most central LoRA-enablement change in the set: it adds core HiDream LoRA support across loaders, pipeline code, training script, docs, and tests. That said, the cluster does not contain true duplicate PRs.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:11281 is the strongest representative because it is the broadest foundational LoRA feature PR in the group, while the others are model-specific follow-ups, optimizations, or unrelated enhancements.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10234", + "right": "pull_request:11494", + "accept": false, + "reason": "Different model/features: SANA LoRA support vs HiDream quantized training. Related area, but not the same underlying change." + }, + { + "left": "pull_request:10234", + "right": "pull_request:11281", + "accept": false, + "reason": "Both add LoRA support, but for different pipelines/models (SANA vs HiDream) and different code paths." + }, + { + "left": "pull_request:10234", + "right": "pull_request:11111", + "accept": false, + "reason": "SANA LoRA support vs Flux LoRA script fixes; same broad subsystem, but distinct changes and targets." + }, + { + "left": "pull_request:10234", + "right": "pull_request:11381", + "accept": false, + "reason": "SANA LoRA support vs HiDream README/training optimizations. Not the same code-path problem." + }, + { + "left": "pull_request:11111", + "right": "pull_request:11281", + "accept": false, + "reason": "Flux LoRA script fixes vs HiDream LoRA support. Shared topic, but not mergeable as one PR." + }, + { + "left": "pull_request:11111", + "right": "pull_request:11381", + "accept": false, + "reason": "Flux fixes and HiDream training/readme updates are separate model-specific changes." + }, + { + "left": "pull_request:11281", + "right": "pull_request:11381", + "accept": false, + "reason": "HiDream LoRA support vs HiDream training README optimizations. The latter is documentation/training-example tuning, not the same feature change." + }, + { + "left": "pull_request:11381", + "right": "pull_request:11494", + "accept": false, + "reason": "Both touch HiDream training docs/script, but one is general optimizations and the other adds quantization support; different concrete changes." + }, + { + "left": "pull_request:11381", + "right": "pull_request:12056", + "accept": false, + "reason": "HiDream training example updates vs Qwen Image LoRA support. Different models and code paths." + }, + { + "left": "pull_request:11494", + "right": "pull_request:12056", + "accept": false, + "reason": "HiDream quantization support vs Qwen Image LoRA support are unrelated feature additions." + }, + { + "left": "pull_request:11858", + "right": "pull_request:12056", + "accept": false, + "reason": "Kontext i2i training support vs Qwen Image LoRA support; same training area, but clearly different model-specific work." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 16, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1024-2", + "nodes": [ + "pull_request:1024", + "pull_request:1085" + ], + "soft_pairs": [ + "pull_request:1024|pull_request:1085" + ], + "prepared_review_unit_hash": "552d74a71454a5b287614d739731f0038b34edad2728d471b0b6fbd2c081a506", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4649, + "estimated_input_tokens": 1163, + "estimated_eval_tokens": 2582 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4649, + "estimated_input_tokens": 1163, + "estimated_eval_tokens": 2582 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related sequential-CPU-offload Stable Diffusion PRs, but they are not duplicates: one documents/threads the feature for the base pipeline, while the other adds the feature to img2img/inpaint pipelines. They touch the same general area but different code paths and deliver different changes.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1085 is the better canonical PR because it contains the broader functional change: adding sequential CPU offload support to additional Stable Diffusion pipelines with tests, whereas PR #1024 is mainly documentation plus a small base-pipeline tweak.", + "best_issue_reason": null, + "best_pr_reason": "PR #1085 is the best representative of the cluster because it is the substantive implementation PR; PR #1024 is more of a documentation/update companion rather than the core feature change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1024", + "right": "pull_request:1085", + "accept": false, + "reason": "Same broad feature area, but not the same concrete change: #1024 documents sequential CPU offload for the base Stable Diffusion pipeline, while #1085 implements it for img2img/inpaint pipelines. They would not plausibly be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 17, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9891-2", + "nodes": [ + "pull_request:10252", + "pull_request:9891" + ], + "soft_pairs": [ + "pull_request:10252|pull_request:9891" + ], + "prepared_review_unit_hash": "795339f249bd146d1de2c0ac2bc2a67e871c29b2e59ebec44debaa83f5b19a58", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2898, + "estimated_input_tokens": 725, + "estimated_eval_tokens": 1706 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2898, + "estimated_input_tokens": 725, + "estimated_eval_tokens": 1706 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are both about checkpoint saving, but they do not look like the same concrete bug fix. PR 10252 is a specific LoRA save-hook fix in the SD3 DreamBooth example, while PR 9891 is a broader checkpoint-saving issue tied to a separate tracked issue.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10252 is the better canonical PR because it has a concrete diff, a single affected file, and a narrowly defined bug fix in the LoRA checkpoint save path.", + "best_issue_reason": null, + "best_pr_reason": "PR 10252 is the best representative of the cluster because it is the most specific and actionable change; PR 9891 is broader, lacks diff preview here, and appears to address a different checkpoint-saving problem.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10252", + "right": "pull_request:9891", + "accept": false, + "reason": "Reject: both relate to saving/checkpointing, but the evidence points to different underlying problems. 10252 fixes the SD3 LoRA model-save hook and dtype handling, while 9891 targets a broader checkpoint-saving flow and references issue 2606. They would not plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 18, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1028-3", + "nodes": [ + "pull_request:1028", + "pull_request:1071", + "pull_request:1142" + ], + "soft_pairs": [ + "pull_request:1028|pull_request:1071", + "pull_request:1028|pull_request:1142", + "pull_request:1071|pull_request:1142" + ], + "prepared_review_unit_hash": "4f919d2c2f19e396e9607838a26a9637716251a7c86d8cac55940c1e61d40adc", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 9303, + "estimated_input_tokens": 2326, + "estimated_eval_tokens": 4908 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 9303, + "estimated_input_tokens": 2326, + "estimated_eval_tokens": 4908 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs center on the same multilingual Stable Diffusion community pipeline, with overlapping edits to the same pipeline file and related community docs. PR 1142 is the cleanest representative because it is the merged, focused version of that feature.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1142 is the merged, focused implementation of the multilingual stable diffusion community pipeline and best captures the final intended change without the extra unrelated churn present in PR 1071.", + "best_issue_reason": null, + "best_pr_reason": "PR 1142 is the best representative because it is merged, narrowly scoped to the multilingual pipeline, and directly matches the shared feature across the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1028", + "right": "pull_request:1071", + "accept": true, + "reason": "Both PRs introduce the multilingual stable diffusion community pipeline and overlap on the same core pipeline file; 1028 looks like an earlier broader proposal of the same change." + }, + { + "left": "pull_request:1028", + "right": "pull_request:1142", + "accept": true, + "reason": "They target the same multilingual stable diffusion pipeline change, with shared edits to examples/community/multilingual_stable_diffusion.py and community docs." + }, + { + "left": "pull_request:1071", + "right": "pull_request:1142", + "accept": true, + "reason": "Same title, same core pipeline file, and same community-pipeline feature; 1142 appears to be the narrower finalized version of the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 19, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10284-2", + "nodes": [ + "pull_request:10284", + "pull_request:10300" + ], + "soft_pairs": [ + "pull_request:10284|pull_request:10300" + ], + "prepared_review_unit_hash": "7e0f66c26476a14d90d046bb3165287a4234520026d991ca54e3b509bab9e9f4", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3533, + "estimated_input_tokens": 884, + "estimated_eval_tokens": 2024 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3533, + "estimated_input_tokens": 884, + "estimated_eval_tokens": 2024 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These Mochi PRs touch the same model family but fix different things: one makes empty-prompt embedding zeroing configurable in the pipeline, the other adds transformer sharding support across GPUs. They should not be merged as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR as a duplicate target here; the two changes address different code paths and user problems.", + "best_issue_reason": null, + "best_pr_reason": "PR #10284 is the more self-contained user-facing behavior change, but it is not a duplicate of #10300.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10284", + "right": "pull_request:10300", + "accept": false, + "reason": "Different underlying changes: pipeline prompt-embedding behavior vs transformer multi-GPU splitting. Same subsystem, but not the same bug or fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 20, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10308-3", + "nodes": [ + "pull_request:10308", + "pull_request:11515", + "pull_request:11520" + ], + "soft_pairs": [ + "pull_request:10308|pull_request:11515", + "pull_request:10308|pull_request:11520", + "pull_request:11515|pull_request:11520" + ], + "prepared_review_unit_hash": "023f58fff308298dea14b790beeb598a4e10993a3b67bd044f53ea979f9d3d2b", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7322, + "estimated_input_tokens": 1831, + "estimated_eval_tokens": 3918 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7322, + "estimated_input_tokens": 1831, + "estimated_eval_tokens": 3918 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three separate PRs that only overlap at a broad theme of model/runtime support and test coverage. PR #10308 is a substantive feature fix for `_no_split_modules`; #11515 adds a training/offloading test; #11520 changes a Framepack model attribute and adds model tests. None look like the same underlying change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10308 is the best canonical PR because it makes the actual code change to add `_no_split_modules` across affected models and includes targeted tests. The other two PRs are mostly test-only or cover a different model/runtime concern.", + "best_issue_reason": null, + "best_pr_reason": "PR #10308 is the strongest representative of the cluster since it addresses a concrete implementation gap rather than just expanding test coverage, and it has the clearest single change-set tied to the cluster theme.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10308", + "right": "pull_request:11515", + "accept": false, + "reason": "#10308 adds `_no_split_modules` support; #11515 adds a training group-offloading test. Different code paths and different goals, so not the same change." + }, + { + "left": "pull_request:10308", + "right": "pull_request:11520", + "accept": false, + "reason": "#10308 is about `_no_split_modules` for several models; #11520 changes Framepack gradient checkpointing state and adds tests. Different model and different behavior." + }, + { + "left": "pull_request:11515", + "right": "pull_request:11520", + "accept": false, + "reason": "Both are test-oriented PRs, but they target unrelated functionality: group offloading during training versus Framepack model support. They would not plausibly merge into one PR as the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 21, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10363-2", + "nodes": [ + "pull_request:10363", + "pull_request:10561" + ], + "soft_pairs": [ + "pull_request:10363|pull_request:10561" + ], + "prepared_review_unit_hash": "b72ee631837d16c6edd7feae58a8641267cc1ae6bf36e0ea40858517aff3e916", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4532, + "estimated_input_tokens": 1133, + "estimated_eval_tokens": 2522 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4532, + "estimated_input_tokens": 1133, + "estimated_eval_tokens": 2522 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs add IP-Adapter support to SD3 ControlNet pipelines, but they target different pipeline variants: the base ControlNet pipeline vs. the inpainting pipeline. They are closely related feature work, not the same concrete code-path change, so they should not be deduplicated as one PR.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:10363 is the better canonical PR because it is the earlier, more general SD3 ControlNet IP-Adapter implementation and explicitly links to an issue; 10561 is a follow-up for the inpainting variant.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:10363 is the best representative of this cluster because it captures the primary feature addition and has the clearest tracking context. 10561 is similar but narrower and file-specific.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10363", + "right": "pull_request:10561", + "accept": false, + "reason": "Same broad feature area, but different concrete pipelines and different changed files. The base ControlNet pipeline and the inpainting pipeline are separate code paths, so these are related PRs rather than duplicates that could reasonably be merged into one change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 22, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6255-18", + "nodes": [ + "pull_request:10377", + "pull_request:10766", + "pull_request:10984", + "pull_request:11234", + "pull_request:11364", + "pull_request:11415", + "pull_request:11429", + "pull_request:11664", + "pull_request:11686", + "pull_request:11748", + "pull_request:11924", + "pull_request:12279", + "pull_request:6255", + "pull_request:6539", + "pull_request:7635", + "pull_request:7873", + "pull_request:8971", + "pull_request:9956" + ], + "soft_pairs": [ + "pull_request:6255|pull_request:7635", + "pull_request:6255|pull_request:7873", + "pull_request:6255|pull_request:6539", + "pull_request:6539|pull_request:7873", + "pull_request:6539|pull_request:7635", + "pull_request:7635|pull_request:7873", + "pull_request:7635|pull_request:8971", + "pull_request:7873|pull_request:8971", + "pull_request:10377|pull_request:8971", + "pull_request:8971|pull_request:9956", + "pull_request:11234|pull_request:9956", + "pull_request:11415|pull_request:9956", + "pull_request:11429|pull_request:9956", + "pull_request:10377|pull_request:9956", + "pull_request:10984|pull_request:9956", + "pull_request:10377|pull_request:10984", + "pull_request:10377|pull_request:11234", + "pull_request:10377|pull_request:10766", + "pull_request:10377|pull_request:11664", + "pull_request:10766|pull_request:11364", + "pull_request:10766|pull_request:11664", + "pull_request:10766|pull_request:10984", + "pull_request:10766|pull_request:11429", + "pull_request:10984|pull_request:11234", + "pull_request:10984|pull_request:11364", + "pull_request:10984|pull_request:11664", + "pull_request:11234|pull_request:11429", + "pull_request:11234|pull_request:11686", + "pull_request:11364|pull_request:11664", + "pull_request:11364|pull_request:12279", + "pull_request:11364|pull_request:11429", + "pull_request:11415|pull_request:11924", + "pull_request:11415|pull_request:11429", + "pull_request:11415|pull_request:11748", + "pull_request:11234|pull_request:11415", + "pull_request:11429|pull_request:11664", + "pull_request:11429|pull_request:11686", + "pull_request:11429|pull_request:11748", + "pull_request:11664|pull_request:12279", + "pull_request:11686|pull_request:11748", + "pull_request:11686|pull_request:11924", + "pull_request:10377|pull_request:11686", + "pull_request:11234|pull_request:11748", + "pull_request:11748|pull_request:11924", + "pull_request:11234|pull_request:11924", + "pull_request:11429|pull_request:11924", + "pull_request:11429|pull_request:12279", + "pull_request:11748|pull_request:12279", + "pull_request:11415|pull_request:12279" + ], + "prepared_review_unit_hash": "599b30c037f90866f02306d131c43061aace2367c19dd324782e76e5374d4dac", + "component_budget": { + "node_count": 18, + "item_count": 18, + "soft_pair_count": 49, + "serialized_chars": 45396, + "estimated_input_tokens": 11349, + "estimated_eval_tokens": 22954 + }, + "budget": { + "node_count": 18, + "item_count": 18, + "soft_pair_count": 49, + "serialized_chars": 45396, + "estimated_input_tokens": 11349, + "estimated_eval_tokens": 22954 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are all dependency bump PRs, but they target different packages, versions, or example directories; none look like the same underlying change. The strongest single representative PR is the merged server torch refresh (11429), since it updates both requirements.in and the generated lockfile.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true duplicate PR cluster here; if a representative is needed, PR 11429 is the most canonical because it is a merged, end-to-end torch refresh that updates both the input spec and compiled requirements.", + "best_issue_reason": null, + "best_pr_reason": "PR 11429 is the best overall representative: it has the broadest, cleanest dependency refresh in the server example and includes both requirements.in and requirements.txt changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6255", + "right": "pull_request:7635", + "accept": false, + "reason": "Same file and subsystem, but different transformers versions (4.36.0 vs 4.38.0); separate upgrades, not one change." + }, + { + "left": "pull_request:6255", + "right": "pull_request:7873", + "accept": false, + "reason": "Both touch realfill requirements, but one bumps transformers and the other bumps jinja2; different packages and fixes." + }, + { + "left": "pull_request:6255", + "right": "pull_request:6539", + "accept": false, + "reason": "Different dependency targets: transformers bump vs jinja2 bump." + }, + { + "left": "pull_request:6539", + "right": "pull_request:7873", + "accept": false, + "reason": "Adjacent jinja2 version bumps, but each PR is a distinct upgrade step." + }, + { + "left": "pull_request:6539", + "right": "pull_request:7635", + "accept": false, + "reason": "Jinja2 bump versus transformers bump; not the same underlying change." + }, + { + "left": "pull_request:7635", + "right": "pull_request:7873", + "accept": false, + "reason": "Different packages in the same file, so these are separate dependency updates." + }, + { + "left": "pull_request:7635", + "right": "pull_request:8971", + "accept": false, + "reason": "Both are realfill dependency bumps, but one updates transformers and the other updates torch." + }, + { + "left": "pull_request:7873", + "right": "pull_request:8971", + "accept": false, + "reason": "Jinja2 bump and torch bump are unrelated changes." + }, + { + "left": "pull_request:10377", + "right": "pull_request:8971", + "accept": false, + "reason": "Different package bumps in the same example file: jinja2 vs torch." + }, + { + "left": "pull_request:8971", + "right": "pull_request:9956", + "accept": false, + "reason": "Different example directories and different packages; not the same fix." + }, + { + "left": "pull_request:11234", + "right": "pull_request:9956", + "accept": false, + "reason": "Server requirement updates, but one is jinja2 and the other is aiohttp; distinct dependency changes." + }, + { + "left": "pull_request:11415", + "right": "pull_request:9956", + "accept": false, + "reason": "h11 bump versus aiohttp bump; different concrete changes." + }, + { + "left": "pull_request:11429", + "right": "pull_request:9956", + "accept": false, + "reason": "Torch refresh in server versus aiohttp bump; separate dependency updates." + }, + { + "left": "pull_request:10377", + "right": "pull_request:9956", + "accept": false, + "reason": "Realfill jinja2 bump is unrelated to server aiohttp bump." + }, + { + "left": "pull_request:10984", + "right": "pull_request:9956", + "accept": false, + "reason": "Realfill jinja2 bump versus server aiohttp bump; different targets and examples." + }, + { + "left": "pull_request:10377", + "right": "pull_request:10984", + "accept": false, + "reason": "Both are realfill jinja2 bumps, but they are different version increments (3.1.4->3.1.5 vs 3.1.5->3.1.6)." + }, + { + "left": "pull_request:10377", + "right": "pull_request:11234", + "accept": false, + "reason": "Realfill jinja2 bump and server jinja2 bump are different files/examples and different version updates." + }, + { + "left": "pull_request:10377", + "right": "pull_request:10766", + "accept": false, + "reason": "Realfill jinja2 bump versus realfill transformers bump; different dependency changes." + }, + { + "left": "pull_request:10377", + "right": "pull_request:11664", + "accept": false, + "reason": "Different torch/jinja2 upgrade paths in realfill; not the same change." + }, + { + "left": "pull_request:10766", + "right": "pull_request:11364", + "accept": false, + "reason": "Transformers bump versus torch bump; unrelated dependency updates." + }, + { + "left": "pull_request:10766", + "right": "pull_request:11664", + "accept": false, + "reason": "Different packages and version targets; not duplicates." + }, + { + "left": "pull_request:10766", + "right": "pull_request:10984", + "accept": false, + "reason": "Transformers bump versus jinja2 bump, so they do not represent the same fix." + }, + { + "left": "pull_request:10766", + "right": "pull_request:11429", + "accept": false, + "reason": "Realfill transformers bump and server torch bump are different examples and packages." + }, + { + "left": "pull_request:10984", + "right": "pull_request:11234", + "accept": false, + "reason": "Both are jinja2 bumps, but in different examples and different version steps." + }, + { + "left": "pull_request:10984", + "right": "pull_request:11364", + "accept": false, + "reason": "Realfill jinja2 bump versus realfill torch bump; different dependency targets." + }, + { + "left": "pull_request:10984", + "right": "pull_request:11664", + "accept": false, + "reason": "Both in realfill, but one changes jinja2 and the other changes torch." + }, + { + "left": "pull_request:11234", + "right": "pull_request:11429", + "accept": false, + "reason": "Server jinja2 bump and server torch bump are separate dependency refreshes." + }, + { + "left": "pull_request:11234", + "right": "pull_request:11686", + "accept": false, + "reason": "Jinja2 bump versus requests bump; different packages and fixes." + }, + { + "left": "pull_request:11364", + "right": "pull_request:11664", + "accept": false, + "reason": "Torch bumps to different target versions; distinct updates." + }, + { + "left": "pull_request:11364", + "right": "pull_request:12279", + "accept": false, + "reason": "Both are realfill torch bumps, but to different versions and at different times." + }, + { + "left": "pull_request:11364", + "right": "pull_request:11429", + "accept": false, + "reason": "Realfill torch bump versus server torch bump; different example and dependency context." + }, + { + "left": "pull_request:11415", + "right": "pull_request:11924", + "accept": false, + "reason": "h11 bump versus aiohttp bump; separate server dependency changes." + }, + { + "left": "pull_request:11415", + "right": "pull_request:11429", + "accept": false, + "reason": "Different server dependencies: h11 versus torch." + }, + { + "left": "pull_request:11429", + "right": "pull_request:11686", + "accept": false, + "reason": "Torch refresh versus requests bump; not the same code-path or dependency change." + }, + { + "left": "pull_request:11429", + "right": "pull_request:11748", + "accept": false, + "reason": "Torch bump versus urllib3 bump; distinct updates in the server example." + }, + { + "left": "pull_request:11429", + "right": "pull_request:12279", + "accept": false, + "reason": "Server torch bump and realfill torch bump are different example stacks and target versions." + }, + { + "left": "pull_request:11664", + "right": "pull_request:12279", + "accept": false, + "reason": "Both are realfill torch bumps, but they bump to different versions and are separate PRs." + }, + { + "left": "pull_request:11686", + "right": "pull_request:11748", + "accept": false, + "reason": "Requests bump versus urllib3 bump; different dependencies." + }, + { + "left": "pull_request:11686", + "right": "pull_request:11924", + "accept": false, + "reason": "Requests bump versus aiohttp bump; not the same underlying change." + }, + { + "left": "pull_request:11748", + "right": "pull_request:11924", + "accept": false, + "reason": "urllib3 bump versus aiohttp bump; unrelated dependency updates." + }, + { + "left": "pull_request:11234", + "right": "pull_request:11924", + "accept": false, + "reason": "Jinja2 bump versus aiohttp bump in the server example; different targets." + }, + { + "left": "pull_request:11429", + "right": "pull_request:11924", + "accept": false, + "reason": "Torch refresh versus aiohttp bump; separate dependency changes." + }, + { + "left": "pull_request:11748", + "right": "pull_request:12279", + "accept": false, + "reason": "Server urllib3 bump and realfill torch bump are unrelated changes." + }, + { + "left": "pull_request:11415", + "right": "pull_request:12279", + "accept": false, + "reason": "Server h11 bump versus realfill torch bump; different example and dependency." + }, + { + "left": "pull_request:10377", + "right": "pull_request:11686", + "accept": false, + "reason": "Realfill jinja2 bump versus server requests bump; different packages and examples." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 23, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10400-2", + "nodes": [ + "pull_request:10400", + "pull_request:11189" + ], + "soft_pairs": [ + "pull_request:10400|pull_request:11189" + ], + "prepared_review_unit_hash": "f93c4fde766781e0d772bfb763dfd980af10092321c77c501cde568ee3d4b0a4", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3868, + "estimated_input_tokens": 967, + "estimated_eval_tokens": 2190 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3868, + "estimated_input_tokens": 967, + "estimated_eval_tokens": 2190 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs touch related pipeline optional-component logic, but they fix different bugs in different code paths: PR #10400 corrects AutoPipeline.from_pipe to compare against the target pipeline\u2019s optional components, while PR #11189 fixes a generic set-operation bug in pipeline_utils when reporting missing mandatory components. They are not the same underlying change and should not be merged as duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10400 is the cleaner canonical representative: it has an explicit linked issue, a focused bug description, and a concrete fix in the AutoPipeline conversion path.", + "best_issue_reason": null, + "best_pr_reason": "PR #10400 is the best representative for the cluster because it most directly captures the shared theme of optional-component handling, but it is still a distinct change from PR #11189.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10400", + "right": "pull_request:11189", + "accept": false, + "reason": "Reject: these are different fixes. #10400 changes AutoPipeline.from_pipe to use the target pipeline class\u2019s optional components; #11189 changes pipeline_utils error reporting by converting optional_kwargs to a set. Same broad subsystem, but not the same concrete bug or mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 24, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10401-2", + "nodes": [ + "pull_request:10401", + "pull_request:10574" + ], + "soft_pairs": [ + "pull_request:10401|pull_request:10574" + ], + "prepared_review_unit_hash": "7e1270f4133b83a0126d0b166ef7f5fc455cd7a97786dbcfb4b442973e4b8c4a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4568, + "estimated_input_tokens": 1142, + "estimated_eval_tokens": 2540 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4568, + "estimated_input_tokens": 1142, + "estimated_eval_tokens": 2540 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are both bitsandbytes PRs, but they address different changes: PR 10401 refactors bnb int8 dequantization, while PR 10574 adds multi-backend bitsandbytes support and updates validation/tests. Shared files alone are not enough to treat them as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10574 is the better cluster representative because it has the broader, explicitly targeted bitsandbytes backend change, with an issue link and multiple touched components/tests.", + "best_issue_reason": null, + "best_pr_reason": "PR 10574 is the strongest standalone PR in this cluster: it has a clear feature goal, explicit issue target, and broader user-facing impact than the small dequantization helper tweak in 10401.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10401", + "right": "pull_request:10574", + "accept": false, + "reason": "Different underlying changes: 10401 only adjusts bnb dequantization logic, while 10574 changes backend validation and adds multi-backend support plus tests. They are related by subsystem, not the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 25, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9986-2", + "nodes": [ + "pull_request:10417", + "pull_request:9986" + ], + "soft_pairs": [ + "pull_request:10417|pull_request:9986" + ], + "prepared_review_unit_hash": "85840d0978af8616d58750911860eff03c7d1d30c4f25005ad16515e5f425c67", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4428, + "estimated_input_tokens": 1107, + "estimated_eval_tokens": 2470 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4428, + "estimated_input_tokens": 1107, + "estimated_eval_tokens": 2470 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are related to the `examples/model_search` area, but they are not the same change. PR #9986 introduces the model-search example and setup, while PR #10417 is a later refinement that updates the example to use new auto-load helper methods and edits the README. They are adjacent enhancements, not duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9986 is the foundational change: it adds the model-search example, supporting files, and setup needed for the feature to exist at all.", + "best_issue_reason": null, + "best_pr_reason": "PR #9986 is the best representative of the cluster because it establishes the core feature and is broader and more complete than the follow-up refinement in #10417.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10417", + "right": "pull_request:9986", + "accept": false, + "reason": "They touch the same example files, but #9986 adds the original model-search functionality and #10417 only updates the example to new helper APIs. This is a follow-up improvement, not the same concrete code-path fix, so they should not be merged as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 26, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10440-2", + "nodes": [ + "pull_request:10440", + "pull_request:10441" + ], + "soft_pairs": [ + "pull_request:10440|pull_request:10441" + ], + "prepared_review_unit_hash": "35e2afc7a49217c977dd3a1a41db81f99d316357bb89ebf1db7828affb70cf20", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6918, + "estimated_input_tokens": 1730, + "estimated_eval_tokens": 3716 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6918, + "estimated_input_tokens": 1730, + "estimated_eval_tokens": 3716 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two related but distinct PRs: one makes pipelines work without a UNet, the other without a VAE. They touch similar example pipelines but fix different initialization paths, so they should not be deduplicated.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: these are separate fixes for different optional components (UNet vs VAE), not the same underlying change.", + "best_issue_reason": null, + "best_pr_reason": "PR 10441 is the better standalone representative only if one must be chosen, because it addresses a concrete missing-VAE initialization path across many pipelines and is slightly broader in scope.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10440", + "right": "pull_request:10441", + "accept": false, + "reason": "Different bug classes: 10440 guards pipelines when UNet is absent, while 10441 handles missing VAE/vae_scale_factor initialization. Shared example files reflect the same family of pipelines, not the same code-path fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 27, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9818-2", + "nodes": [ + "pull_request:10456", + "pull_request:9818" + ], + "soft_pairs": [ + "pull_request:10456|pull_request:9818" + ], + "prepared_review_unit_hash": "6abfcfef02c86d6d07537a9ea48f7a2aa8172a47a74142befd5e42a58f66caa9", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4271, + "estimated_input_tokens": 1068, + "estimated_eval_tokens": 2392 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4271, + "estimated_input_tokens": 1068, + "estimated_eval_tokens": 2392 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are closely related feature PRs, but they fix different model-specific code paths: SD3 vs CogVideoX. They should not be treated as duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "If a representative is needed, PR 9818 is the better canonical PR because it has an explicit issue link and addresses the shared attention-kwargs plumbing first; PR 10456 is a separate CogVideoX-specific extension.", + "best_issue_reason": null, + "best_pr_reason": "PR 9818 is the best PR overall: it is more directly grounded by an issue reference and patches the common attention/transformer path, while PR 10456 is a separate model-specific follow-up.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10456", + "right": "pull_request:9818", + "accept": false, + "reason": "Same general theme (pass kwargs to custom attention processors), but they modify different architectures and code paths, so they are not the same concrete change and would not plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 28, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9428-2", + "nodes": [ + "pull_request:10476", + "pull_request:9428" + ], + "soft_pairs": [ + "pull_request:10476|pull_request:9428" + ], + "prepared_review_unit_hash": "a8bc1aa56bd5626754480e7bb46b8a340f711b56723621013919a5a333b22da3", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6574, + "estimated_input_tokens": 1644, + "estimated_eval_tokens": 3544 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6574, + "estimated_input_tokens": 1644, + "estimated_eval_tokens": 3544 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are pull requests about model-path/documentation updates in Diffusers, but they target different changes: PR #10476 updates code/examples from RunwayML v1.5 paths to stable-diffusion-v1-5, while PR #9428 replaces the default model reference in docs with Lykon/dreamshaper-8. They are not the same underlying fix.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10476 is the better canonical representative because it makes a concrete runtime/code-path change across loaders and pipelines, whereas PR #9428 is primarily a documentation/model-reference update and covers a different target model.", + "best_issue_reason": null, + "best_pr_reason": "PR #10476 best fits the cluster as the more substantive and code-centric change; PR #9428 is not the same fix and is only loosely related by touching model-name references.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10476", + "right": "pull_request:9428", + "accept": false, + "reason": "Reject: the diffs address different model reference migrations. #10476 changes code/examples to the stable-diffusion-v1-5 path; #9428 updates docs to Lykon/dreamshaper-8. They do not fix the same concrete bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 29, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1052-2", + "nodes": [ + "pull_request:1052", + "pull_request:1113" + ], + "soft_pairs": [ + "pull_request:1052|pull_request:1113" + ], + "prepared_review_unit_hash": "b7adf1ccd5581747f5826d110ac9de0264c0ca5fa5daffb62ec8098bcc723419", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4553, + "estimated_input_tokens": 1139, + "estimated_eval_tokens": 2534 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4553, + "estimated_input_tokens": 1139, + "estimated_eval_tokens": 2534 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged test-focused PRs improve precision/expected-output comparisons in diffusers, but they target different pipelines and code paths, so they are related rather than duplicates.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1052 is the stronger representative: it has an explicit issue target, adds a reusable numpy-loading test utility, and touches several inpainting-related tests in a concrete, self-contained change.", + "best_issue_reason": null, + "best_pr_reason": "PR #1052 is the best overall representative because it has clearer intent, broader but still focused scope, and direct linkage to the tracking issue. PR #1113 is narrower and less canonical as a cluster anchor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1052", + "right": "pull_request:1113", + "accept": false, + "reason": "Both are precision-improvement test PRs, but they modify different stable-diffusion test areas and different expected-data handling. They do not appear to fix the same concrete bug or be mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 30, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10527-3", + "nodes": [ + "pull_request:10527", + "pull_request:11771", + "pull_request:11793" + ], + "soft_pairs": [ + "pull_request:10527|pull_request:11771", + "pull_request:10527|pull_request:11793", + "pull_request:11771|pull_request:11793" + ], + "prepared_review_unit_hash": "d613ed63b1e4ddbb5c85e78cdfca347dd2d8f6b810b25c44712997856d86c3fc", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7606, + "estimated_input_tokens": 1902, + "estimated_eval_tokens": 4060 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7606, + "estimated_input_tokens": 1902, + "estimated_eval_tokens": 4060 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs are test-skip cleanups, but they target different test paths and failure modes. They are related in theme, not duplicates.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11771 is the clearest representative: it makes shared test helpers explicitly skip unsupported gradient-checkpointing cases in the common modeling test base, which is a direct code-path fix rather than a scattered test annotation change.", + "best_issue_reason": null, + "best_pr_reason": "PR #11771 is the strongest single exemplar of the cluster because it addresses a concrete skip/return bug in shared test infrastructure and is narrowly scoped to one underlying behavior change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10527", + "right": "pull_request:11771", + "accept": false, + "reason": "Same general goal of marking unsupported tests as skipped, but #10527 is a broad unittest.skip annotation sweep across many test files while #11771 changes shared gradient-checkpointing logic in one helper; not the same underlying change." + }, + { + "left": "pull_request:10527", + "right": "pull_request:11793", + "accept": false, + "reason": "#10527 adds explicit skips to many unsupported tests, whereas #11793 replaces return with pytest.skip for UNet-only hotswap tests in a common helper; similar style, different behavior and code paths." + }, + { + "left": "pull_request:11771", + "right": "pull_request:11793", + "accept": false, + "reason": "Both edit tests/test_modeling_common.py, but they fix different conditions: gradient-checkpointing support vs UNet-only compiled-model hotswapping. Too different to treat as one duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 31, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10615-3", + "nodes": [ + "pull_request:10615", + "pull_request:11741", + "pull_request:12001" + ], + "soft_pairs": [ + "pull_request:10615|pull_request:11741", + "pull_request:11741|pull_request:12001" + ], + "prepared_review_unit_hash": "e967bd7266311c698a232d1d5f8f79038ae649b6f404f11da838b1c321c6eece", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 10045, + "estimated_input_tokens": 2512, + "estimated_eval_tokens": 5280 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 10045, + "estimated_input_tokens": 2512, + "estimated_eval_tokens": 5280 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are mostly licensing-header cleanup PRs. PR 10615 and 11741 are effectively the same year-bump chore across overlapping example/test files, while 12001 is a related but distinct follow-up to complete the license statement wording. No issue artifacts are present.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11741 is the best representative of the cluster because it is the broad 'remaining' 2025 licensing update and matches the same concrete year-change chore as 10615; 12001 is a different licensing-text completion change.", + "best_issue_reason": null, + "best_pr_reason": "11741 is the strongest canonical PR because it spans many files and directly reflects the same 2025 copyright/header update theme, making it the best umbrella representative of this licensing cleanup cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10615", + "right": "pull_request:11741", + "accept": true, + "reason": "Both PRs perform the same concrete licensing year update to 2025 across example/test files; 11741 looks like the continuation/remaining-file pass of the same change and could plausibly be merged into one PR." + }, + { + "left": "pull_request:11741", + "right": "pull_request:12001", + "accept": false, + "reason": "11741 is a 2025 copyright year bump, while 12001 adds the missing 'limitations under the License' line; same broad area, but not the same underlying change or code-path issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 32, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9080-3", + "nodes": [ + "pull_request:10626", + "pull_request:9080", + "pull_request:9082" + ], + "soft_pairs": [ + "pull_request:9080|pull_request:9082", + "pull_request:10626|pull_request:9082" + ], + "prepared_review_unit_hash": "05c7025acf1132f3e8f1f9aeaf326aa946ea05fbe58547a4c5cb3cc989a21ce7", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 10580, + "estimated_input_tokens": 2645, + "estimated_eval_tokens": 5546 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 10580, + "estimated_input_tokens": 2645, + "estimated_eval_tokens": 5546 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster contains two separate model-support PRs: CogVideoX (PRs 9080 and 9082, where 9080 appears to be an earlier version of the same change) and EasyAnimate (PR 10626). The CogVideoX pair should be deduplicated; EasyAnimate is unrelated and should remain separate.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9082 is the best canonical PR because it is the merged, more complete CogVideoX implementation and subsumes the earlier #9080 effort.", + "best_issue_reason": null, + "best_pr_reason": "#9082 is the strongest representative of the CogVideoX change set; #10626 is a different model family (EasyAnimate) and should not be chosen as the cluster representative.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9080", + "right": "pull_request:9082", + "accept": true, + "reason": "Same underlying CogVideoX feature addition with heavily overlapping files and content; #9080 looks like an earlier variant of the same PR and could plausibly be merged into #9082." + }, + { + "left": "pull_request:10626", + "right": "pull_request:9082", + "accept": false, + "reason": "Different model families and pipeline stacks (EasyAnimate vs CogVideoX); overlap is mostly generic docs/init plumbing, not the same concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 33, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8899-4", + "nodes": [ + "pull_request:10721", + "pull_request:8899", + "pull_request:9037", + "pull_request:9969" + ], + "soft_pairs": [ + "pull_request:8899|pull_request:9037", + "pull_request:8899|pull_request:9969", + "pull_request:10721|pull_request:9969" + ], + "prepared_review_unit_hash": "a25ff1884df92a5bf0358ba81bf4ceaad2cc18b1e1a92cd78b4f3c4815e9a129", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 8551, + "estimated_input_tokens": 2138, + "estimated_eval_tokens": 4532 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 8551, + "estimated_input_tokens": 2138, + "estimated_eval_tokens": 4532 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "No true duplicate cluster here: two PRs are separate TensorRT community pipeline updates, one is a broad diffusers sync, and one is a simple dependency bump. The soft similarities are mostly superficial or shared-scope, not the same underlying change.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR stands out as a duplicate target; the set is heterogeneous. If forced, PR #9969 is the cleanest self-contained change, but it is not actually the same change as the others.", + "best_issue_reason": null, + "best_pr_reason": "PR #9969 is the most focused and reviewable change in the set, but it is still unrelated to the other PRs in terms of concrete code-path impact.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8899", + "right": "pull_request:9037", + "accept": false, + "reason": "Both touch TensorRT community examples, but they update different pipelines (img2img vs txt2img/inpaint). Same area, not the same underlying fix/change." + }, + { + "left": "pull_request:8899", + "right": "pull_request:9969", + "accept": false, + "reason": "A community pipeline example update and a dependency version bump are unrelated changes; they do not fix the same code-path problem." + }, + { + "left": "pull_request:10721", + "right": "pull_request:9969", + "accept": false, + "reason": "PR #10721 is a broad diffusers code sync across loaders/models/pipelines, while #9969 only bumps huggingface-hub. Different scope and intent, so not a duplicate." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 34, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10742-3", + "nodes": [ + "pull_request:10742", + "pull_request:10811", + "pull_request:11192" + ], + "soft_pairs": [ + "pull_request:10742|pull_request:11192", + "pull_request:10742|pull_request:10811", + "pull_request:10811|pull_request:11192" + ], + "prepared_review_unit_hash": "338e45e79434b74161e8400928c801158b8cecc54beba920abefee34c0c9c7a0", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6728, + "estimated_input_tokens": 1682, + "estimated_eval_tokens": 3620 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6728, + "estimated_input_tokens": 1682, + "estimated_eval_tokens": 3620 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are all closely related type-annotation cleanups adding `Self`, but they change different classmethods in different mixins/APIs. They are thematically similar, not duplicates of the same concrete fix.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11192 is the best representative because it applies the `Self` typing update across multiple core mixin methods (`from_config`, `from_pretrained`) and is the broadest of the three related annotation cleanups.", + "best_issue_reason": null, + "best_pr_reason": "PR 11192 is the strongest standalone representative of the cluster: it covers core mixin return-type annotations in multiple files and is more broadly representative than the single-method PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10742", + "right": "pull_request:11192", + "accept": false, + "reason": "Both are `Self` return-type annotation changes, but they affect different APIs (`ModelMixin.from_pretrained` vs `ConfigMixin.from_config` / `SchedulerMixin.from_pretrained`) and are not the same underlying bug or mergeable single change." + }, + { + "left": "pull_request:10742", + "right": "pull_request:10811", + "accept": false, + "reason": "These are related typing cleanups, but one updates `ModelMixin.from_pretrained` while the other updates single-file loading mixins. Different code paths and not one concrete fix." + }, + { + "left": "pull_request:10811", + "right": "pull_request:11192", + "accept": false, + "reason": "Both touch mixin type hints, but one targets `from_single_file` loaders and the other targets config/scheduler mixins. Similar style, not the same duplicate change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 35, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1078-4", + "nodes": [ + "pull_request:1078", + "pull_request:1118", + "pull_request:2166", + "pull_request:2258" + ], + "soft_pairs": [ + "pull_request:1078|pull_request:1118", + "pull_request:1078|pull_request:2166", + "pull_request:2166|pull_request:2258" + ], + "prepared_review_unit_hash": "6bd5a5f5800cf3d73ee41ebaabba8117a66286bd4282df35eca945029820caf9", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 7707, + "estimated_input_tokens": 1927, + "estimated_eval_tokens": 4110 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 7707, + "estimated_input_tokens": 1927, + "estimated_eval_tokens": 4110 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "PR 1118 is the best canonical representative because it addresses the broader `None`-component pipeline problem, including the `safety_checker=None` case that PR 1078 touches. The other two PRs are separate fixes in different code paths and should not be deduplicated with these.", + "confidence": 0.78, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1118 is the broadest and most representative fix in the cluster: it handles saving/loading pipelines with `None` components, which directly covers the `safety_checker=None` edge case and subsumes the narrower offload guard in PR 1078.", + "best_issue_reason": null, + "best_pr_reason": "PR 1118 best captures the underlying bug pattern among the items. PR 1078 is only a narrow runtime guard for CPU offload, while 2166 and 2258 are unrelated changes to training output and MPS attention masking.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1078", + "right": "pull_request:1118", + "accept": false, + "reason": "Related theme (`safety_checker=None`), but not the same change: 1078 only skips CPU offload on `None`, while 1118 adds broader save/load support for `None` pipeline components. Not mergeable as one PR." + }, + { + "left": "pull_request:1078", + "right": "pull_request:2166", + "accept": false, + "reason": "Different code paths and bugs: CPU offload with `None` safety checker versus avoiding a deepcopy in an example training script." + }, + { + "left": "pull_request:2166", + "right": "pull_request:2258", + "accept": false, + "reason": "Unrelated fixes: one changes model unwrapping in a training example, the other fixes an MPS fp16 attention-mask dtype issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 36, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10836-4", + "nodes": [ + "pull_request:10836", + "pull_request:11836", + "pull_request:12150", + "pull_request:12733" + ], + "soft_pairs": [ + "pull_request:10836|pull_request:11836", + "pull_request:10836|pull_request:12150", + "pull_request:11836|pull_request:12733" + ], + "prepared_review_unit_hash": "423149ec084f37f36c9c30a99ad329b855711af17cb886c0d244b82b77a8f002", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 7440, + "estimated_input_tokens": 1860, + "estimated_eval_tokens": 3976 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 7440, + "estimated_input_tokens": 1860, + "estimated_eval_tokens": 3976 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All four items are small, unrelated debug-print removals in different code paths. They share a superficial theme, but they are not the same fix and should not be deduplicated together.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10836 is the best representative because it is merged and covers the broadest cleanup among the debug-print removals, but it is still only a standalone print-statement removal rather than a canonical duplicate for the others.", + "best_issue_reason": null, + "best_pr_reason": "PR 10836 is the strongest cluster representative: it is merged, touches more than one file, and is a typical finished cleanup change. The others are separate, narrower print removals in different modules, so none is a better global match.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10836", + "right": "pull_request:11836", + "accept": false, + "reason": "Both remove print/debug output, but they target different files and different code paths. This is a shared cleanup pattern, not the same underlying bug or change." + }, + { + "left": "pull_request:10836", + "right": "pull_request:12150", + "accept": false, + "reason": "PR 10836 deletes stray prints; PR 12150 changes CogView4 normalization behavior. The titles and diffs point to unrelated code changes, so they are not duplicates." + }, + { + "left": "pull_request:11836", + "right": "pull_request:12733", + "accept": false, + "reason": "Both are debug-print removals, but one is in the SCM scheduler and the other in Flux2 pipeline code. Different concrete locations and behavior, so they should not be merged." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 37, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10880-4", + "nodes": [ + "pull_request:10880", + "pull_request:10907", + "pull_request:10974", + "pull_request:11073" + ], + "soft_pairs": [ + "pull_request:10880|pull_request:10907", + "pull_request:10907|pull_request:11073", + "pull_request:10907|pull_request:10974", + "pull_request:10974|pull_request:11073" + ], + "prepared_review_unit_hash": "b371a2aa98d327f878bd6718c177fe5e80694385a446ce498b3248a1e27da426", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 9719, + "estimated_input_tokens": 2430, + "estimated_eval_tokens": 5116 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 9719, + "estimated_input_tokens": 2430, + "estimated_eval_tokens": 5116 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All four PRs are closely related cleanup/fix patches for ControlNet pipeline callback tensor inputs, but they address different pipeline families and different missing tensor names, so they should not be deduplicated together.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #10907 is the best representative of the cluster because it is the broadest SD ControlNet callback-input fix, covering the base, img2img, and inpaint pipelines in one change.", + "best_issue_reason": null, + "best_pr_reason": "PR #10907 best captures the common underlying theme: missing callback tensor inputs in ControlNet pipelines, and it spans the widest set of SD ControlNet variants among the candidates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10880", + "right": "pull_request:10907", + "accept": false, + "reason": "Same general area, but different pipeline families (SDXL vs SD) and different missing callback tensors; not the same concrete bug/change." + }, + { + "left": "pull_request:10907", + "right": "pull_request:11073", + "accept": false, + "reason": "Both touch SD ControlNet inpaint, but 10907 adds missing image callback input while 11073 adds mask/masked_image_latents too; related but distinct fixes." + }, + { + "left": "pull_request:10907", + "right": "pull_request:10974", + "accept": false, + "reason": "Different code paths and model families: SD ControlNet pipelines versus Flux ControlNet pipelines, with different missing tensor inputs." + }, + { + "left": "pull_request:10974", + "right": "pull_request:11073", + "accept": false, + "reason": "Different pipeline families and different callback tensor additions; they are analogous fixes, not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 38, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10881-2", + "nodes": [ + "pull_request:10881", + "pull_request:10882" + ], + "soft_pairs": [ + "pull_request:10881|pull_request:10882" + ], + "prepared_review_unit_hash": "b3d994c5cb7533df9e93e5e826c875b7b337577e60d6df6bc039b4176409eb2d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4290, + "estimated_input_tokens": 1073, + "estimated_eval_tokens": 2402 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4290, + "estimated_input_tokens": 1073, + "estimated_eval_tokens": 2402 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are merged refactor PRs, but they target different areas: one removes extra Flux code, the other updates SD3 docs and code across attention/controlnet/transformer files. They do not look like the same underlying change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10882 is the broader, more representative refactor in this cluster; 10881 is a smaller, unrelated Flux cleanup.", + "best_issue_reason": null, + "best_pr_reason": "If one PR must stand in for the cluster, 10882 is the better representative because it spans more files and a broader SD3 refactor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10881", + "right": "pull_request:10882", + "accept": false, + "reason": "Different code paths and goals: Flux transformer cleanup vs SD3 documentation/code refactor. They are not the same fix and would not plausibly merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 39, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10939-2", + "nodes": [ + "pull_request:10939", + "pull_request:10946" + ], + "soft_pairs": [ + "pull_request:10939|pull_request:10946" + ], + "prepared_review_unit_hash": "4be7965c63c9be9a588f249406c08473caffc99f3889725ab035ef6cb14e1646", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4185, + "estimated_input_tokens": 1047, + "estimated_eval_tokens": 2350 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4185, + "estimated_input_tokens": 1047, + "estimated_eval_tokens": 2350 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are related to remote VAE decode tests, but they are not the same change: #10939 is a narrow endpoint swap, while #10946 adds endpoint constants and slow-test plumbing for broader coverage. I would not deduplicate them.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "#10946 is the better representative of this theme because it is the broader, cleaner test-update PR: it introduces named endpoint constants and slow-test setup, whereas #10939 only replaces one endpoint URL in-place.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10939", + "right": "pull_request:10946", + "accept": false, + "reason": "Same test file, but different concrete changes and scope. #10939 just updates an endpoint URL; #10946 refactors the test setup and adds slow-test constants. They do not look like the same underlying fix/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 40, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10944-2", + "nodes": [ + "pull_request:10944", + "pull_request:11622" + ], + "soft_pairs": [ + "pull_request:10944|pull_request:11622" + ], + "prepared_review_unit_hash": "4d484c463433a826f30799b99b4f376fba335a84dfaa317fef84a762fbe22a32", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3690, + "estimated_input_tokens": 923, + "estimated_eval_tokens": 2102 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3690, + "estimated_input_tokens": 923, + "estimated_eval_tokens": 2102 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are not duplicates: one is a small CogView4 device-placement fix, the other adds IP-Adapter support/loading to Flux Fill. They touch different pipelines and different code paths.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 10944 is the cleaner, concrete bugfix and the only merged change; PR 11622 is a broader Flux Fill feature update with a different purpose.", + "best_issue_reason": null, + "best_pr_reason": "PR 10944 is the best representative for the cluster because it is a precise, self-contained fix with clear scope. PR 11622 is unrelated feature work rather than the same underlying bug/change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10944", + "right": "pull_request:11622", + "accept": false, + "reason": "Different pipelines and different changes: CogView4 device/device-placement fix vs Flux Fill IP-Adapter plumbing. They do not appear to fix the same bug or belong in one merged PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 41, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10973-3", + "nodes": [ + "pull_request:10973", + "pull_request:11239", + "pull_request:11240" + ], + "soft_pairs": [ + "pull_request:10973|pull_request:11239", + "pull_request:10973|pull_request:11240", + "pull_request:11239|pull_request:11240" + ], + "prepared_review_unit_hash": "b6ca1bb692d9284286b462e04b460e813ca8d7b275e5d3a3ee3c4ea0f1ab2920", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7045, + "estimated_input_tokens": 1762, + "estimated_eval_tokens": 3780 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7045, + "estimated_input_tokens": 1762, + "estimated_eval_tokens": 3780 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs fix the same scheduler-step miscalculation in DreamBooth training scripts when `num_train_epochs` is used under distributed training; they are closely related code changes across different variants of the same example.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11239 is the best canonical PR: it has the explicit issue link to #8384, a clear title describing the bug, and it addresses the base `train_dreambooth.py` implementation with the core fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #11239 is the strongest representative because it directly references the tracking issue and contains the same scheduler fix in the main DreamBooth script.", + "soft_edge_verdicts": [ + { + "left": "pull_request:10973", + "right": "pull_request:11239", + "accept": true, + "reason": "Same underlying LR scheduler bug in DreamBooth distributed training; both patch the same scheduler-step logic in analogous training scripts and could plausibly be combined into one multi-file fix." + }, + { + "left": "pull_request:10973", + "right": "pull_request:11240", + "accept": true, + "reason": "Same bug and same fix pattern, just applied to the LoRA and LoRA-SDXL DreamBooth variants; this is a shared concrete code-path issue, not merely a broad subsystem overlap." + }, + { + "left": "pull_request:11239", + "right": "pull_request:11240", + "accept": true, + "reason": "Both target issue #8384 and make the same scheduler correction in closely related DreamBooth scripts, so they represent the same underlying change family and could be merged together." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 42, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11079-2", + "nodes": [ + "pull_request:11079", + "pull_request:11587" + ], + "soft_pairs": [ + "pull_request:11079|pull_request:11587" + ], + "prepared_review_unit_hash": "2aba173a58c652712bbb424ee7d37ad07e6599639a224f1fa191c8cbdfa105e7", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3985, + "estimated_input_tokens": 997, + "estimated_eval_tokens": 2250 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3985, + "estimated_input_tokens": 997, + "estimated_eval_tokens": 2250 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two pull requests are unrelated: one fixes PixArt one-step inference behavior, the other fixes safetensors/variant loading compatibility. They should not be clustered as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:11587 is the stronger standalone fix: it addresses a clearly described loading bug, updates the utility code, and adds tests. It is also more self-contained than the PixArt inference patch.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:11587 is the better representative PR overall because it has a more explicit bug statement, broader utility impact, and test coverage. pull_request:11079 is a narrow model-specific inference adjustment and does not represent the same underlying change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11079", + "right": "pull_request:11587", + "accept": false, + "reason": "Different underlying bugs and code paths: PixArt scheduler output handling for num_inference_steps=1 versus pipeline loading/safetensors variant compatibility. They are not mergeable as one PR and do not fix the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 43, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-977-2", + "nodes": [ + "pull_request:1108", + "pull_request:977" + ], + "soft_pairs": [ + "pull_request:1108|pull_request:977" + ], + "prepared_review_unit_hash": "73b7401ad5f7d1239ae2e954813f66d2055f599bf8e3d76f09449ff95639cb17", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4152, + "estimated_input_tokens": 1038, + "estimated_eval_tokens": 2332 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4152, + "estimated_input_tokens": 1038, + "estimated_eval_tokens": 2332 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two very similar PRs fix the same constructor argument typo in different UNet modules, but they touch separate code paths/files and should not be deduplicated as the same change.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1108 is the stronger representative: it is merged and applies the same typo fix in `src/diffusers/models/unet_2d_blocks.py` with the same minimal scope.", + "best_issue_reason": null, + "best_pr_reason": "PR #1108 is the best overall PR candidate because it is the merged, completed version of this narrow fix; PR #977 is similar but remains an independent change in a different module.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1108", + "right": "pull_request:977", + "accept": false, + "reason": "They implement the same small typo correction, but in different files/modules (`unet_2d_blocks.py` vs `unet_blocks.py`) and are not the same concrete code-path fix, so they should not be merged as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 44, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11094-2", + "nodes": [ + "pull_request:11094", + "pull_request:11097" + ], + "soft_pairs": [ + "pull_request:11094|pull_request:11097" + ], + "prepared_review_unit_hash": "0a17c9d31c57a3401cbf3dbf940fec34b634b5711758a0d587eca976ce2a21de", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4206, + "estimated_input_tokens": 1052, + "estimated_eval_tokens": 2360 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4206, + "estimated_input_tokens": 1052, + "estimated_eval_tokens": 2360 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two merged PRs both touch group offloading internals, but they address different code-paths: PR 11094 improves moving params/buffers during onload/offload, while PR 11097 fixes execution-order tracking for stream-based offloading. Not a duplicate pair.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11097 is the more concrete bug fix: it targets the stream-related behavior regression with an explicit issue link and a focused change to execution-order tracking.", + "best_issue_reason": null, + "best_pr_reason": "PR 11097 is the best representative because it has a specific failure mode, explicit issue target, and a narrowly scoped fix; PR 11094 is broader feature/behavior cleanup in the same file.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11094", + "right": "pull_request:11097", + "accept": false, + "reason": "Same file, but different underlying problems and implementations: 11094 changes device transfer/offload handling for parameters and buffers, while 11097 changes execution-order callback logic for stream mode. They are not the same fix and would not be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 45, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-111-2", + "nodes": [ + "pull_request:111", + "pull_request:112" + ], + "soft_pairs": [ + "pull_request:111|pull_request:112" + ], + "prepared_review_unit_hash": "ae8e72c07ebad60c2d63438e796c5b291bc54c69c81b8d610f36c5740b09f32d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5426, + "estimated_input_tokens": 1357, + "estimated_eval_tokens": 2970 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5426, + "estimated_input_tokens": 1357, + "estimated_eval_tokens": 2970 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two closely related PRs from the same day implementing PIL image outputs for diffusers pipelines. PR #111 is the merged, slightly narrower implementation; PR #112 is an unmerged near-duplicate that extends the same change to one additional pipeline.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #111 is the merged, concrete implementation of the PIL-output change and covers the same core code path as the other PR; it is the best representative of the cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #111 is the strongest standalone representative: it is merged, directly implements the PIL conversion helper plus pipeline call-site updates, and matches the cluster's underlying change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:111", + "right": "pull_request:112", + "accept": true, + "reason": "Same underlying feature/change: making pipeline outputs PIL images by default. They share the same helper and most pipeline call-site edits; PR #112 looks like a near-duplicate/superset of #111 rather than a different fix." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The clustering judgment is grounded in the packet: both PRs implement the same PIL-output change in diffusers pipelines, share the new `numpy_to_pil` helper, and overlap heavily in modified files. PR #112 also appears to extend the same change to an additional pipeline (`ddim`), so treating the pair as mergeable variants of one bugfix/feature is reasonable. The summary is mostly conservative; no obvious overstatement." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 46, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11190-2", + "nodes": [ + "pull_request:11190", + "pull_request:11228" + ], + "soft_pairs": [ + "pull_request:11190|pull_request:11228" + ], + "prepared_review_unit_hash": "f3a71af22b5030daadaea3338e101ae9002395bc24a351408f30ba82836f6052", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3718, + "estimated_input_tokens": 930, + "estimated_eval_tokens": 2116 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3718, + "estimated_input_tokens": 930, + "estimated_eval_tokens": 2116 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are not duplicates: one is a test autocast adjustment, the other fixes VAE dtype restoration in the SDXL img2img pipeline. They share a broad dtype theme but not the same underlying bug or code path.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11228 is the better representative of the cluster because it fixes a real production code path in the SDXL img2img pipeline; PR 11190 is test-only and unrelated to that bug.", + "best_issue_reason": null, + "best_pr_reason": "PR 11228 is the most substantial and user-facing change here, so it is the best PR anchor for this cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11190", + "right": "pull_request:11228", + "accept": false, + "reason": "Different fixes: 11190 changes a test autocast context, while 11228 changes VAE dtype handling in the img2img pipeline. They do not address the same concrete bug and would not naturally merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 47, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1121-2", + "nodes": [ + "pull_request:1121", + "pull_request:1313" + ], + "soft_pairs": [ + "pull_request:1121|pull_request:1313" + ], + "prepared_review_unit_hash": "f73d91fdfa9888ccbe9a301edfdda474c7936c8e629ce7df501e9067b14453bb", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4189, + "estimated_input_tokens": 1048, + "estimated_eval_tokens": 2352 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4189, + "estimated_input_tokens": 1048, + "estimated_eval_tokens": 2352 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are about adding v-prediction support, but they modify different scheduler code paths and one also adds an example, so they are related feature work rather than the same mergeable change.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1121 is the more canonical core implementation: it directly updates the DDPM scheduler to support v-diffusion and introduces the shared helper needed for that path.", + "best_issue_reason": null, + "best_pr_reason": "PR #1313 is the best overall PR in this cluster because it is the more complete end-to-end v-prediction change, covering DDIM scheduler support plus an example demonstrating usage.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1121", + "right": "pull_request:1313", + "accept": false, + "reason": "Both concern v-prediction, but #1121 changes DDPM scheduler internals while #1313 changes DDIM scheduler behavior and adds an example. They do not look like the same concrete code-path fix and would not naturally be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 48, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11219-14", + "nodes": [ + "pull_request:11219", + "pull_request:11245", + "pull_request:11263", + "pull_request:11264", + "pull_request:11265", + "pull_request:11266", + "pull_request:11310", + "pull_request:11404", + "pull_request:11444", + "pull_request:11458", + "pull_request:11459", + "pull_request:12350", + "pull_request:12842", + "pull_request:13270" + ], + "soft_pairs": [ + "pull_request:11219|pull_request:12350", + "pull_request:11219|pull_request:11458", + "pull_request:11245|pull_request:11263", + "pull_request:11245|pull_request:11264", + "pull_request:11245|pull_request:11266", + "pull_request:11245|pull_request:11310", + "pull_request:11264|pull_request:11266", + "pull_request:11264|pull_request:11310", + "pull_request:11264|pull_request:11458", + "pull_request:11264|pull_request:11404", + "pull_request:11265|pull_request:11459", + "pull_request:11265|pull_request:12350", + "pull_request:11266|pull_request:11310", + "pull_request:11266|pull_request:11458", + "pull_request:11266|pull_request:11444", + "pull_request:11444|pull_request:11458", + "pull_request:11458|pull_request:12350", + "pull_request:11264|pull_request:12350", + "pull_request:11266|pull_request:12350", + "pull_request:12350|pull_request:12842", + "pull_request:12842|pull_request:13270" + ], + "prepared_review_unit_hash": "ed3c8dca85ed83621d5810bf11c0c4e39cb041513add2083d9a1a9f6f77960f5", + "component_budget": { + "node_count": 14, + "item_count": 14, + "soft_pair_count": 21, + "serialized_chars": 33522, + "estimated_input_tokens": 8381, + "estimated_eval_tokens": 17018 + }, + "budget": { + "node_count": 14, + "item_count": 14, + "soft_pair_count": 21, + "serialized_chars": 33522, + "estimated_input_tokens": 8381, + "estimated_eval_tokens": 17018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are mostly separate XPU/accelerator test-enablement or tolerance-adjustment PRs across different pipelines/models, plus one broader GGUF/XPU loader fix. They do not look like duplicates of one another; only superficial theme overlap is shared accelerator-test maintenance.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11404 is the strongest representative of the cluster because it includes an actual cross-device loader/quantization fix plus multiple GGUF/XPU test enables, making it the broadest and most substantive accelerator-related change here.", + "best_issue_reason": null, + "best_pr_reason": "PR #11404 is the best single PR to stand in for this cluster: it touches real production code and test coverage for XPU, whereas most others are isolated test expectation or device-compatibility tweaks in unrelated pipelines.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11219", + "right": "pull_request:12350", + "accept": false, + "reason": "Different tests and failures: bnb mixed-int8 autocast device handling vs. Marigold depth test naming/expectations. Same broad accelerator theme, but not the same bug or change." + }, + { + "left": "pull_request:11219", + "right": "pull_request:11458", + "accept": false, + "reason": "Unrelated test scopes: one fixes a quantization training test, the other adjusts Stable Diffusion Safe tests for XPU/A100. No shared concrete code path." + }, + { + "left": "pull_request:11245", + "right": "pull_request:11263", + "accept": false, + "reason": "Both are accelerator test fixes, but for different pipelines and failures (Flux Redux vs LoRA fine-tuning). Not mergeable as one change." + }, + { + "left": "pull_request:11245", + "right": "pull_request:11264", + "accept": false, + "reason": "Different pipeline failures and different assertions; one is Flux Redux inference, the other Stable Diffusion inpaint fp16. Only superficial similarity." + }, + { + "left": "pull_request:11245", + "right": "pull_request:11266", + "accept": false, + "reason": "Different concrete tests in different pipeline areas. Shared XPU-testing pattern is not enough to treat them as the same underlying issue." + }, + { + "left": "pull_request:11245", + "right": "pull_request:11310", + "accept": false, + "reason": "Flux Redux inference vs Stable Diffusion XL k-diffusion are unrelated code paths and models." + }, + { + "left": "pull_request:11264", + "right": "pull_request:11266", + "accept": false, + "reason": "Both are XPU expectation updates, but they fix different Stable Diffusion tests with different inputs and failure modes. Not the same bug." + }, + { + "left": "pull_request:11264", + "right": "pull_request:11310", + "accept": false, + "reason": "Different pipeline tests and different numerical expectations; no evidence of one shared defect." + }, + { + "left": "pull_request:11264", + "right": "pull_request:11458", + "accept": false, + "reason": "Stable Diffusion inpaint fp16 vs Stable Diffusion Safe test setup changes. Same subsystem, but not the same concrete failure." + }, + { + "left": "pull_request:11264", + "right": "pull_request:11404", + "accept": false, + "reason": "One is a Stable Diffusion inpaint test expectation change; the other is a GGUF/XPU loader and quantizer fix. Different code paths and artifacts." + }, + { + "left": "pull_request:11265", + "right": "pull_request:11459", + "accept": false, + "reason": "Different targets: I2VGenXL tolerance tweak vs semantic diffusion/panorama accelerator setup. Not the same underlying issue." + }, + { + "left": "pull_request:11265", + "right": "pull_request:12350", + "accept": false, + "reason": "Unrelated test cases in different model families; only the accelerator-test context overlaps." + }, + { + "left": "pull_request:11266", + "right": "pull_request:11310", + "accept": false, + "reason": "Both are XPU test expectation changes, but for different pipelines (IP-Adapter Stable Diffusion vs SDXL k-diffusion). Not duplicate changes." + }, + { + "left": "pull_request:11266", + "right": "pull_request:11458", + "accept": false, + "reason": "Different pipelines and failures; one adjusts IP-Adapter mask expectations, the other changes Safe Diffusion test setup. No shared code path." + }, + { + "left": "pull_request:11266", + "right": "pull_request:11444", + "accept": false, + "reason": "IP-Adapter test expectation update vs unidiffuser XPU enablement in shared test helpers. Related theme, but distinct fixes." + }, + { + "left": "pull_request:11266", + "right": "pull_request:12350", + "accept": false, + "reason": "Different model families and different failure modes; not the same underlying bug." + }, + { + "left": "pull_request:11444", + "right": "pull_request:11458", + "accept": false, + "reason": "One enables unidiffuser XPU cases and tweaks shared test helpers; the other updates Safe Diffusion tests. Different concrete changes." + }, + { + "left": "pull_request:11458", + "right": "pull_request:12350", + "accept": false, + "reason": "Safe Diffusion XPU/A100 test maintenance is unrelated to Marigold depth XPU support." + }, + { + "left": "pull_request:11264", + "right": "pull_request:12350", + "accept": false, + "reason": "Stable Diffusion inpaint fp16 expectation change vs Marigold depth accelerator rename/expectations. Not the same defect." + }, + { + "left": "pull_request:11266", + "right": "pull_request:12350", + "accept": false, + "reason": "IP-Adapter multiple-masks expectation update is unrelated to Marigold depth XPU fixes." + }, + { + "left": "pull_request:12350", + "right": "pull_request:12842", + "accept": false, + "reason": "Marigold depth XPU fix vs PixArt Sigma test expectation update; different pipelines and different failures." + }, + { + "left": "pull_request:12842", + "right": "pull_request:13270", + "accept": false, + "reason": "PixArt test expectation adjustment vs parallelism device/back-end selection change. Different scope and code path." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 49, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11405-3", + "nodes": [ + "pull_request:11405", + "pull_request:11406", + "pull_request:11759" + ], + "soft_pairs": [ + "pull_request:11405|pull_request:11406", + "pull_request:11405|pull_request:11759" + ], + "prepared_review_unit_hash": "28508053a86849bc8a8981a0e4801ad2366bebffdc4db2a6765842ed88ff29cd", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6755, + "estimated_input_tokens": 1689, + "estimated_eval_tokens": 3634 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6755, + "estimated_input_tokens": 1689, + "estimated_eval_tokens": 3634 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three separate merged PRs that all aim at XPU-related test stability/enablement, but they address different concrete test cases and fixes rather than the same underlying change.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11759 is the broadest and most representative of the cluster: it makes multiple CI test adjustments for XPU across several pipeline test files, so it best captures the overall theme of XPU test stabilization.", + "best_issue_reason": null, + "best_pr_reason": "PR #11759 is the best single representative because it spans several test failures and compatibility tweaks, making it more cluster-representative than the narrower one-off enablement PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11405", + "right": "pull_request:11406", + "accept": false, + "reason": "Both are XPU test-enablement PRs, but they target different code paths and test suites: one enables group_offload/quanto cases, the other enables layerwise_casting_memory cases and adds backend synchronization. They do not look like the same underlying bug or change." + }, + { + "left": "pull_request:11405", + "right": "pull_request:11759", + "accept": false, + "reason": "They overlap only at a high level on XPU test fixes and share one common test file, but they change different tests and different failure modes. This is too broad to treat as the same concrete fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 50, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11445-15", + "nodes": [ + "pull_request:11445", + "pull_request:11461", + "pull_request:11503", + "pull_request:11507", + "pull_request:11523", + "pull_request:11526", + "pull_request:11527", + "pull_request:11620", + "pull_request:11654", + "pull_request:11988", + "pull_request:12158", + "pull_request:12214", + "pull_request:12345", + "pull_request:12408", + "pull_request:12460" + ], + "soft_pairs": [ + "pull_request:11445|pull_request:11503", + "pull_request:11445|pull_request:11523", + "pull_request:11445|pull_request:11527", + "pull_request:11445|pull_request:11654", + "pull_request:11445|pull_request:12345", + "pull_request:11461|pull_request:12158", + "pull_request:11445|pull_request:11461", + "pull_request:11461|pull_request:11503", + "pull_request:11461|pull_request:11507", + "pull_request:11461|pull_request:11526", + "pull_request:11503|pull_request:11523", + "pull_request:11503|pull_request:11527", + "pull_request:11503|pull_request:11654", + "pull_request:11503|pull_request:12345", + "pull_request:11445|pull_request:11507", + "pull_request:11503|pull_request:11507", + "pull_request:11507|pull_request:11523", + "pull_request:11507|pull_request:11526", + "pull_request:11507|pull_request:11527", + "pull_request:11523|pull_request:11654", + "pull_request:11523|pull_request:11526", + "pull_request:11523|pull_request:12214", + "pull_request:11526|pull_request:12214", + "pull_request:11526|pull_request:11527", + "pull_request:11445|pull_request:11526", + "pull_request:11503|pull_request:11526", + "pull_request:11527|pull_request:11654", + "pull_request:11527|pull_request:11988", + "pull_request:11620|pull_request:12214", + "pull_request:11620|pull_request:12158", + "pull_request:11445|pull_request:11620", + "pull_request:11503|pull_request:11620", + "pull_request:11507|pull_request:11620", + "pull_request:11654|pull_request:12345", + "pull_request:11654|pull_request:11988", + "pull_request:11988|pull_request:12214", + "pull_request:11445|pull_request:11988", + "pull_request:11503|pull_request:11988", + "pull_request:11445|pull_request:12158", + "pull_request:11503|pull_request:12158", + "pull_request:11507|pull_request:12158", + "pull_request:11527|pull_request:12214", + "pull_request:11654|pull_request:12214", + "pull_request:11527|pull_request:12345", + "pull_request:11461|pull_request:12345", + "pull_request:11445|pull_request:12408", + "pull_request:11461|pull_request:12408", + "pull_request:11503|pull_request:12408", + "pull_request:11507|pull_request:12408", + "pull_request:11526|pull_request:12408", + "pull_request:11445|pull_request:12460", + "pull_request:11461|pull_request:12460", + "pull_request:11503|pull_request:12460", + "pull_request:11507|pull_request:12460", + "pull_request:11527|pull_request:12460" + ], + "prepared_review_unit_hash": "f9ac3942fe321462be4d7111c3944a8c7cb3ca7035b85a382d2cfba0daa172ef", + "component_budget": { + "node_count": 15, + "item_count": 15, + "soft_pair_count": 55, + "serialized_chars": 51479, + "estimated_input_tokens": 12870, + "estimated_eval_tokens": 25996 + }, + "budget": { + "node_count": 15, + "item_count": 15, + "soft_pair_count": 55, + "serialized_chars": 51479, + "estimated_input_tokens": 12870, + "estimated_eval_tokens": 25996 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are mostly a family of XPU-enablement and device-agnostic test updates across unrelated files. They share a theme, but they do not look like duplicates of one another, so I would not merge them into a single issue/PR cluster. PR 11654 is the best representative because it includes a core XPU-capability fix plus broad follow-up test updates.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11654 is the strongest cluster representative: it changes core XPU/CUDA capability logic and updates many tests, making it the broadest and most central XPU-enablement change in the set.", + "best_issue_reason": null, + "best_pr_reason": "PR 11654 is the best overall fit because it is the most substantive and central XPU-related change, with the widest impact across runtime logic and tests.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11445", + "right": "pull_request:11503", + "accept": false, + "reason": "Both are XPU test-enablement PRs, but they target different pipeline test files and do not fix the same concrete bug or change." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11523", + "accept": false, + "reason": "One updates Marigold tests; the other updates DiT tests. Same theme, different concrete changes and not mergeable as a duplicate." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11527", + "accept": false, + "reason": "Marigold test XPU enablement vs. a broader testing utility/load helper change; related area, but not the same underlying fix." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11654", + "accept": false, + "reason": "Different scope: a single test file XPU conversion versus a broad quantization/XPU compatibility PR touching core code and many tests." + }, + { + "left": "pull_request:11445", + "right": "pull_request:12345", + "accept": false, + "reason": "Marigold test-only XPU enablement is unrelated to the offloading/memory-device fix in 12345." + }, + { + "left": "pull_request:11461", + "right": "pull_request:12158", + "accept": false, + "reason": "Group offloading stream/device handling is a different problem from GGUF XPU test adjustments." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11461", + "accept": false, + "reason": "Different code paths: Marigold test harness changes versus group offloading runtime behavior." + }, + { + "left": "pull_request:11461", + "right": "pull_request:11503", + "accept": false, + "reason": "Offloading/runtime device handling is unrelated to the multiple pipeline test-only XPU enablement in 11503." + }, + { + "left": "pull_request:11461", + "right": "pull_request:11507", + "accept": false, + "reason": "Group offloading stream support and print_env XPU support are separate features, not the same change." + }, + { + "left": "pull_request:11461", + "right": "pull_request:11526", + "accept": false, + "reason": "Offloading runtime changes and multiple pipeline test migrations are different concrete fixes." + }, + { + "left": "pull_request:11503", + "right": "pull_request:11523", + "accept": false, + "reason": "Both are test-only XPU enablements, but for different pipelines and different files; not the same underlying bug." + }, + { + "left": "pull_request:11503", + "right": "pull_request:11527", + "accept": false, + "reason": "Pipeline test conversions versus load_pt/testing_utils changes are related but distinct changes." + }, + { + "left": "pull_request:11503", + "right": "pull_request:11654", + "accept": false, + "reason": "Different scope and code paths: pipeline test migrations versus quantization logic plus broad XPU updates." + }, + { + "left": "pull_request:11503", + "right": "pull_request:12345", + "accept": false, + "reason": "Multiple pipeline test enablement PR versus a runtime memory/offload fix; not duplicates." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11507", + "accept": false, + "reason": "Test suite XPU migration versus environment-printing support; different artifacts and fixes." + }, + { + "left": "pull_request:11503", + "right": "pull_request:11507", + "accept": false, + "reason": "Different concrete changes: pipeline integration tests versus utility script environment reporting." + }, + { + "left": "pull_request:11507", + "right": "pull_request:11523", + "accept": false, + "reason": "Print-env XPU support and DiT test enablement are unrelated code changes." + }, + { + "left": "pull_request:11507", + "right": "pull_request:11526", + "accept": false, + "reason": "Print-env utility updates are not the same as enabling several pipeline tests on XPU." + }, + { + "left": "pull_request:11507", + "right": "pull_request:11527", + "accept": false, + "reason": "Environment reporting changes and testing helper/load changes are different fixes." + }, + { + "left": "pull_request:11523", + "right": "pull_request:11654", + "accept": false, + "reason": "DiT test enablement is unrelated to the broader quantization/XPU support work in 11654." + }, + { + "left": "pull_request:11523", + "right": "pull_request:11526", + "accept": false, + "reason": "Different pipeline test groups; same broad theme, but not the same concrete bug or change." + }, + { + "left": "pull_request:11523", + "right": "pull_request:12214", + "accept": false, + "reason": "DiT test enablement and Bria XPU enablement are separate test migrations." + }, + { + "left": "pull_request:11526", + "right": "pull_request:12214", + "accept": false, + "reason": "Different pipeline test suites; these are separate XPU porting changes, not duplicates." + }, + { + "left": "pull_request:11526", + "right": "pull_request:11527", + "accept": false, + "reason": "Pipeline test migrations versus a testing_utils/load_pt change are adjacent but distinct." + }, + { + "left": "pull_request:11445", + "right": "pull_request:11526", + "accept": false, + "reason": "Marigold-specific test changes and several other pipeline test migrations are not the same underlying fix." + }, + { + "left": "pull_request:11503", + "right": "pull_request:11526", + "accept": false, + "reason": "They both enable tests on XPU, but in different suites and with different edits." + }, + { + "left": "pull_request:11527", + "right": "pull_request:11654", + "accept": false, + "reason": "Both touch testing utilities, but one changes load_pt behavior while the other adds broader XPU/quantization support; 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They are thematically similar (speedups) but not the same underlying change or bug.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true canonical duplicate PR here; if one anchor is needed, PR 11665 is the best representative because it is merged and self-contained, but it does not overlap functionally with the other two.", + "best_issue_reason": null, + "best_pr_reason": "PR 11665 is the strongest standalone PR in the set because it is merged, has a clear concrete optimization in one method, and is better validated than the other two. It is not a duplicate target for the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11665", + "right": "pull_request:11667", + "accept": false, + "reason": "Different modules and different mechanisms: caching conv counts in Wan autoencoder cache clearing vs reshaping context for Kandinsky3 group norm. Same broad theme of speedup, but not the same bug/change." + }, + { + "left": "pull_request:11666", + "right": "pull_request:11667", + "accept": false, + "reason": "These optimize unrelated code paths in different pipelines/models. One changes BLIP image postprocess tensor handling; the other changes Kandinsky3 normalization broadcasting. 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The soft similarity is about topic overlap, not the same concrete change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11723 is the broader and more substantive LoRA-alpha change, covering training logic, tests, and multiple READMEs; it is the best representative for this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #11723 is the strongest overall representative because it changes the actual training path, not just documentation, and is the more central LoRA-alpha update.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11723", + "right": "pull_request:11780", + "accept": false, + "reason": "Different PRs and different scopes: #11723 updates flux LoRA training/code plus docs, while #11780 only adds Sana README guidance. Same topic, but not the same underlying change or mergeable into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 56, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11822-2", + "nodes": [ + "pull_request:11822", + "pull_request:11834" + ], + "soft_pairs": [ + "pull_request:11822|pull_request:11834" + ], + "prepared_review_unit_hash": "847ac0822113c8667c098cd296031212db0c0a5c4b620259547779bfc7eeca0c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4224, + "estimated_input_tokens": 1056, + "estimated_eval_tokens": 2368 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4224, + "estimated_input_tokens": 1056, + "estimated_eval_tokens": 2368 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two pull requests are not duplicates: one fixes LoRA unload state cleanup, while the other improves performance in LoRA scale expansion. They touch adjacent loader code, but address different problems and would not be merged as one PR.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11822 is the clearer canonical artifact because it is a direct bug fix with a concrete behavioral change; PR #11834 is an unrelated performance enhancement.", + "best_issue_reason": null, + "best_pr_reason": "PR #11822 is the better representative for the cluster since it contains the more specific, user-visible fix rather than a broad optimization.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11822", + "right": "pull_request:11834", + "accept": false, + "reason": "Different underlying changes: #11822 resets LoRA unload state in peft.py, while #11834 changes how LoRA scales are expanded for speed. Shared LoRA loader context is too broad to treat as the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 57, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11837-2", + "nodes": [ + "pull_request:11837", + "pull_request:11952" + ], + "soft_pairs": [ + "pull_request:11837|pull_request:11952" + ], + "prepared_review_unit_hash": "91073d682d5d94511af18f5aaf2804c799220325cf7d75961eea0d4f80093a77", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4198, + "estimated_input_tokens": 1050, + "estimated_eval_tokens": 2356 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4198, + "estimated_input_tokens": 1050, + "estimated_eval_tokens": 2356 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged documentation PRs both edit `docs/source/en/optimization/fp16.md`, but they add different content: one expands the regional compilation section, the other inserts a blog-post tip for diffusion performance. They are related contextually, not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11837 is the broader, more substantive docs update and best represents the cluster; it adds the regional compilation guidance and also touches a second optimization doc.", + "best_issue_reason": null, + "best_pr_reason": "PR #11837 is the best single representative because it contains the larger, more general documentation change, while #11952 is a smaller follow-up link insertion.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11837", + "right": "pull_request:11952", + "accept": false, + "reason": "Both PRs touch the same docs file, but they make different documentation edits serving different purposes. They do not appear to fix the same concrete problem or to be mergeable into one duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 58, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11860-4", + "nodes": [ + "pull_request:11860", + "pull_request:11862", + "pull_request:11868", + "pull_request:11893" + ], + "soft_pairs": [ + "pull_request:11860|pull_request:11862", + "pull_request:11860|pull_request:11868", + "pull_request:11860|pull_request:11893", + "pull_request:11862|pull_request:11868", + "pull_request:11862|pull_request:11893", + "pull_request:11868|pull_request:11893" + ], + "prepared_review_unit_hash": "82a70eac423d605b2d65c9dae91c93973442b3845ef7c9ccc6bd2c405f8030a7", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 12357, + "estimated_input_tokens": 3090, + "estimated_eval_tokens": 6436 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 12357, + "estimated_input_tokens": 3090, + "estimated_eval_tokens": 6436 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are thematically related to the modular-diffusers rollout, but they are distinct changes: one adds PAG, one adds ConfigMixin registration, one adds custom config serialization, and one merges the broader branch into main. They should not be collapsed as duplicates.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 11893 is the broadest umbrella item and best represents the overall modular-diffusers integration work, but it is still not the same concrete change as the more focused feature PRs.", + "best_issue_reason": null, + "best_pr_reason": "11893 is the most comprehensive representative of the cluster, touching the integrated modular diffusers plumbing across many files; the others are narrower follow-up feature/fix PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11860", + "right": "pull_request:11862", + "accept": false, + "reason": "Both are modular guider work, but 11860 adds the PAG guider while 11862 adds ConfigMixin registration across guiders; different code-path changes." + }, + { + "left": "pull_request:11860", + "right": "pull_request:11868", + "accept": false, + "reason": "11860 introduces a new guider implementation; 11868 changes config serialization behavior. Related area, but not the same bug or feature." + }, + { + "left": "pull_request:11860", + "right": "pull_request:11893", + "accept": false, + "reason": "11893 is a broad merge/integration PR that includes many unrelated modular changes; it is not the same concrete change as the PAG guider PR." + }, + { + "left": "pull_request:11862", + "right": "pull_request:11868", + "accept": false, + "reason": "11862 concerns guider config wiring, while 11868 fixes serialization of custom config objects. Different underlying changes, despite shared files." + }, + { + "left": "pull_request:11862", + "right": "pull_request:11893", + "accept": false, + "reason": "11893 is an umbrella merge of the modular diffusers branch, not a duplicate of the specific ConfigMixin PR." + }, + { + "left": "pull_request:11868", + "right": "pull_request:11893", + "accept": false, + "reason": "11868 is a focused serialization fix; 11893 is a broad branch merge touching many subsystems, so they are not mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 59, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-11887-2", + "nodes": [ + "pull_request:11887", + "pull_request:11926" + ], + "soft_pairs": [ + "pull_request:11887|pull_request:11926" + ], + "prepared_review_unit_hash": "8ce57cfb3def4ec5fed75d49f2355cc115fe86b6b519c2037aba9490d006d251", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3452, + "estimated_input_tokens": 863, + "estimated_eval_tokens": 1982 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3452, + "estimated_input_tokens": 863, + "estimated_eval_tokens": 1982 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related CI-speedup PRs, but they are not duplicates: one is a focused GPU workflow parallelism tweak, while the other is a broader WIP CI acceleration change touching CPU runners, pytest parallelism, and GPU workflow settings.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #11887 is the cleaner canonical PR: it makes one specific GPU CI change (raising max-parallel) and is already merged, whereas #11926 is a broader open WIP with multiple unrelated CI adjustments.", + "best_issue_reason": null, + "best_pr_reason": "PR #11887 is the best representative of the cluster because it is the concrete, merged fix for a single CI bottleneck; #11926 is larger in scope and not the same change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:11887", + "right": "pull_request:11926", + "accept": false, + "reason": "Reject: they overlap on CI performance but do not fix the same concrete problem. #11887 only increases GPU test matrix parallelism, while #11926 also changes CPU runners, pytest worker counts, and other workflow/test settings across multiple files." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 60, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-928-2", + "nodes": [ + "pull_request:1189", + "pull_request:928" + ], + "soft_pairs": [ + "pull_request:1189|pull_request:928" + ], + "prepared_review_unit_hash": "58dac52bdf63081234b00c047d701fe83d4fc8ba2863196df9d0bd2945ca0544", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4109, + "estimated_input_tokens": 1028, + "estimated_eval_tokens": 2312 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4109, + "estimated_input_tokens": 1028, + "estimated_eval_tokens": 2312 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two unrelated pull requests: one fixes DDIM scheduler noise-device handling, the other adjusts a pipeline test to use a legacy class and move components to device.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1189 is the core code-path fix: it changes DDIM noise generation/device handling in the scheduler itself. PR #928 is only a test update and not the underlying bug/change.", + "best_issue_reason": null, + "best_pr_reason": "PR #1189 is the strongest representative of the cluster because it addresses an actual runtime bug in production code rather than a test-only adjustment.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1189", + "right": "pull_request:928", + "accept": false, + "reason": "Different artifacts and different changes: #1189 fixes DDIM noise device/reproducibility in scheduler code, while #928 only modifies test setup and device placement. They do not look like the same underlying bug or mergeable code change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 61, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12023-2", + "nodes": [ + "pull_request:12023", + "pull_request:12314" + ], + "soft_pairs": [ + "pull_request:12023|pull_request:12314" + ], + "prepared_review_unit_hash": "0ccf95438c59143f1364e7c140c3f0a5e6237f269edb5ea9987cd18749bf9dc9", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3449, + "estimated_input_tokens": 863, + "estimated_eval_tokens": 1982 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3449, + "estimated_input_tokens": 863, + "estimated_eval_tokens": 1982 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch the Wan pipeline\u2019s `ftfy` handling, but they implement different fixes: one unconditionally imports `ftfy`, the other guards `ftfy.fix_text()` behind `is_ftfy_available()`. They are related but not the same change, so the soft match should be rejected. The merged PR is the stronger canonical choice.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12314 is merged and addresses the runtime `ftfy` name error directly in `basic_clean()` with a targeted availability check.", + "best_issue_reason": null, + "best_pr_reason": "PR #12314 is the best representative because it is the merged fix and it handles the concrete failure mode without introducing an unconditional import dependency.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12023", + "right": "pull_request:12314", + "accept": false, + "reason": "Same file and similar symptom, but the fixes differ materially: #12023 changes import behavior, while #12314 guards the call site. They are not the same concrete code-path change and would not naturally merge as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 62, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12032-3", + "nodes": [ + "pull_request:12032", + "pull_request:12179", + "pull_request:12194" + ], + "soft_pairs": [ + "pull_request:12032|pull_request:12194", + "pull_request:12179|pull_request:12194" + ], + "prepared_review_unit_hash": "b08e4dc0e84ba31853b7e745498f50c263648c5b51bb66fe90c0abc46cbe10f6", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8943, + "estimated_input_tokens": 2236, + "estimated_eval_tokens": 4728 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8943, + "estimated_input_tokens": 2236, + "estimated_eval_tokens": 4728 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs are sequential Chinese documentation translation batches for different sections of the docs, with only light overlap on the zh toctree. They are related thematically but do not look like the same concrete change, so they should not be deduplicated as PRs.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12194 is the broadest and latest zh translation batch, covering additional inference and optimization docs, so it is the best representative of this cluster theme.", + "best_issue_reason": null, + "best_pr_reason": "PR 12194 has the widest scope and looks like the most complete continuation of the translation work, making it the strongest representative PR here.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12032", + "right": "pull_request:12194", + "accept": false, + "reason": "Both are zh doc translation PRs, but they cover different batches of pages and different toctree additions; this is related work, not the same merged change." + }, + { + "left": "pull_request:12179", + "right": "pull_request:12194", + "accept": false, + "reason": "They overlap only on the zh toctree and both add different translated document sets; they are separate translation increments rather than one underlying PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 63, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12049-2", + "nodes": [ + "pull_request:12049", + "pull_request:12076" + ], + "soft_pairs": [ + "pull_request:12049|pull_request:12076" + ], + "prepared_review_unit_hash": "980e0d4fe897082aa582969364b271248365bf490c06eed3ab80e63d449b97c3", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4197, + "estimated_input_tokens": 1050, + "estimated_eval_tokens": 2356 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4197, + "estimated_input_tokens": 1050, + "estimated_eval_tokens": 2356 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are effectively the same PR: identical title, same target file, and the second one is a later merged revision of the same gguf quant-type support change. Prefer the merged PR as canonical.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12076 is the merged, later revision of the same change, so it is the best canonical PR record.", + "best_issue_reason": null, + "best_pr_reason": "PR #12076 is the best PR candidate because it is merged and appears to supersede the earlier unmerged duplicate.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12049", + "right": "pull_request:12076", + "accept": true, + "reason": "Same title, same file, and the diffs show the same gguf quant-type support work; #12076 looks like the finalized merged version of #12049." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 64, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12058-2", + "nodes": [ + "pull_request:12058", + "pull_request:12615" + ], + "soft_pairs": [ + "pull_request:12058|pull_request:12615" + ], + "prepared_review_unit_hash": "b064b7fd95b9bfe37179b5d4fbee83c102d128f2db743030a7273513f0ca4bb8", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3807, + "estimated_input_tokens": 952, + "estimated_eval_tokens": 2160 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3807, + "estimated_input_tokens": 952, + "estimated_eval_tokens": 2160 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs add cross-attention-related flags, but they target different transformer implementations (Wan vs LTX) and different code paths. They are similar in theme, not duplicates of the same change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: these are separate model-specific refactors/additions in different files and should not be collapsed into one duplicate.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:12058 is the better representative because it is merged and has a clear, self-contained change in Wan attention.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12058", + "right": "pull_request:12615", + "accept": false, + "reason": "Similar cross-attention plumbing, but different model implementations and filenames; they do not fix the same concrete code-path problem and would not plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 65, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1209-2", + "nodes": [ + "pull_request:1209", + "pull_request:1245" + ], + "soft_pairs": [ + "pull_request:1209|pull_request:1245" + ], + "prepared_review_unit_hash": "f79b48efa7a534c8d71033b15f07ea0104f55c580e8508da14fd4673d3819a2d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4552, + "estimated_input_tokens": 1138, + "estimated_eval_tokens": 2532 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4552, + "estimated_input_tokens": 1138, + "estimated_eval_tokens": 2532 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are about adding Weights & Biases support to the same example, with overlapping focus on `examples/unconditional_image_generation/train_unconditional.py`. They look like two halves of one feature rather than separate changes.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1245 is the more direct code-path change: it adds the `--logger` option and updates logging behavior in `train_unconditional.py`, which is the core functional piece of wandb support.", + "best_issue_reason": null, + "best_pr_reason": "PR #1245 is the best representative for the cluster because it contains the primary implementation change; PR #1209 is mostly supporting docs/dependency/example housekeeping around the same feature.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1209", + "right": "pull_request:1245", + "accept": true, + "reason": "Both PRs target wandb support for the same example and share the same training script; they are close enough to plausibly be combined into one broader PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 66, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12103-2", + "nodes": [ + "pull_request:12103", + "pull_request:12298" + ], + "soft_pairs": [ + "pull_request:12103|pull_request:12298" + ], + "prepared_review_unit_hash": "580ca9df7e53bef6b942a2b30149ad1a2b7c427623f204e8f4cd5724fcc4c8c8", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4326, + "estimated_input_tokens": 1082, + "estimated_eval_tokens": 2420 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4326, + "estimated_input_tokens": 1082, + "estimated_eval_tokens": 2420 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are both LoRA test-related but address different changes: one fixes device placement for non-denoiser components in group-offloading tests, while the other removes/reworks baseline non-LoRA output checks in separate caching-related LoRA tests. They are not the same underlying fix.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12298 is the better canonical PR for this cluster because it spans multiple LoRA test files plus the shared helper, making it the broader and more representative change. PR #12103 is a narrow, single-purpose test device-placement tweak.", + "best_issue_reason": null, + "best_pr_reason": "PR #12298 is the best representative PR here: it has wider scope across several LoRA test cases and the shared utility, whereas #12103 is a small targeted adjustment.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12103", + "right": "pull_request:12298", + "accept": false, + "reason": "Different test fixes in the same subsystem: #12103 changes device placement for offloaded non-denoiser components, while #12298 removes/adjusts baseline output assertions and caching behavior in unrelated LoRA tests. They would not plausibly merge as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 67, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12191-2", + "nodes": [ + "pull_request:12191", + "pull_request:12753" + ], + "soft_pairs": [ + "pull_request:12191|pull_request:12753" + ], + "prepared_review_unit_hash": "ff8aedf7832bd1168a9610c5f30be50ee8de5ca2b40e73e129db8475f52ca0a7", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4345, + "estimated_input_tokens": 1087, + "estimated_eval_tokens": 2430 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4345, + "estimated_input_tokens": 1087, + "estimated_eval_tokens": 2430 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch AutoEncoderKLWan tiling logic, but they appear to fix different bugs: one adjusts patchify behavior in encode/decode, the other corrects the spatial compression ratio used during tiled encode. I would not collapse them into one duplicate change.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12753 is the stronger canonical PR because it is merged and targets a specific tiled-encode compression-ratio bug with a focused fix. PR #12191 is broader, still open, and changes patchify/encode-decode behavior rather than the same concrete issue.", + "best_issue_reason": null, + "best_pr_reason": "PR #12753 is the best representative because it is merged, narrowly scoped, and clearly addresses a concrete code-path error in tiled encode.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12191", + "right": "pull_request:12753", + "accept": false, + "reason": "Shared file and subsystem are not enough: #12191 changes patchify gating in encode/decode, while #12753 fixes tiled-encode spatial compression math. They do not look like the same underlying bug or mergeable into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 68, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12201-2", + "nodes": [ + "pull_request:12201", + "pull_request:12212" + ], + "soft_pairs": [ + "pull_request:12201|pull_request:12212" + ], + "prepared_review_unit_hash": "04d20d9b00a053cd70591ba63fa4c1d4e3ef44f0320b1bfb3098a4a25278438e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4232, + "estimated_input_tokens": 1058, + "estimated_eval_tokens": 2372 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4232, + "estimated_input_tokens": 1058, + "estimated_eval_tokens": 2372 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate merged documentation PRs about different features: community pipelines vs. pipeline callbacks. They do not appear to be the same underlying change, so the soft duplicate link should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a canonical duplicate target because they cover unrelated docs changes. If one must be picked as the more representative standalone PR, 12212 is slightly broader because it updates both the callbacks guide and API overview.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12201", + "right": "pull_request:12212", + "accept": false, + "reason": "Different documentation topics and different edited files; they do not represent the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 69, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12206-3", + "nodes": [ + "pull_request:12206", + "pull_request:13075", + "pull_request:13093" + ], + "soft_pairs": [ + "pull_request:12206|pull_request:13093", + "pull_request:13075|pull_request:13093" + ], + "prepared_review_unit_hash": "0f97d75350cc6013451501419af70181953cb6badc987582745fa0bebbe13b59", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6429, + "estimated_input_tokens": 1608, + "estimated_eval_tokens": 3472 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6429, + "estimated_input_tokens": 1608, + "estimated_eval_tokens": 3472 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "PRs 13075 and 13093 address the same concrete compatibility bug in `gather_size_by_comm` on `_modeling_parallel.py` (accessing `torch.accelerator` / accelerator selection on older PyTorch). PR 12206 is unrelated, fixing `torch.library.custom_op` registration in `attention_dispatch.py`.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13075 is the clearest primary fix for the distributed gather compatibility issue: it targets the exact failing code path, has a direct issue link, and frames the bug at the user-facing level rather than only the API check.", + "best_issue_reason": null, + "best_pr_reason": "PR 13075 is the best representative of the cluster because it addresses the underlying `gather_size_by_comm` device-selection failure in a more general way and is the more complete compatibility-oriented patch among the related candidates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12206", + "right": "pull_request:13093", + "accept": false, + "reason": "Different bugs and code paths: 12206 guards `torch.library.custom_op` / `register_fake` in `attention_dispatch.py`, while 13093 changes accelerator selection in `gather_size_by_comm`." + }, + { + "left": "pull_request:13075", + "right": "pull_request:13093", + "accept": true, + "reason": "Same underlying distributed gather compatibility bug in the same function/file, both fixing PyTorch API availability for accelerator device selection; they could plausibly be merged into one PR." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: PR 12206 is a different file/code path and the two `_modeling_parallel.py` PRs are both conservative fixes for the same distributed gather compatibility issue. The mergeability judgment for 13075/13093 is plausible, and no claim appears overstated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 70, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12267-2", + "nodes": [ + "pull_request:12267", + "pull_request:12289" + ], + "soft_pairs": [ + "pull_request:12267|pull_request:12289" + ], + "prepared_review_unit_hash": "5640e475f4d483e3886fd6aef331490b164466c11e924e018c57cc525f560993", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6149, + "estimated_input_tokens": 1538, + "estimated_eval_tokens": 3332 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6149, + "estimated_input_tokens": 1538, + "estimated_eval_tokens": 3332 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two highly similar pull requests fix the same type-hint cleanup across the same transformer files; the later merged PR is the better canonical representative.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12289 is the merged, later version of the same type-hint fix and appears to supersede #12267 with a slightly broader file set.", + "best_issue_reason": null, + "best_pr_reason": "PR #12289 is the strongest representative because it is merged, has more discussion/review activity, and covers the same concrete code-path/type-hint changes as #12267.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12267", + "right": "pull_request:12289", + "accept": true, + "reason": "Near-identical PRs addressing the same type-hint errors in the same models; #12289 is effectively the merged superset." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 71, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12320-3", + "nodes": [ + "pull_request:12320", + "pull_request:12394", + "pull_request:12486" + ], + "soft_pairs": [ + "pull_request:12320|pull_request:12394", + "pull_request:12320|pull_request:12486", + "pull_request:12394|pull_request:12486" + ], + "prepared_review_unit_hash": "185c1f2872e606ebe5b4e54498af0584fbc4f892f0964276b75c02d94e5c9d0b", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6967, + "estimated_input_tokens": 1742, + "estimated_eval_tokens": 3740 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6967, + "estimated_input_tokens": 1742, + "estimated_eval_tokens": 3740 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three items are documentation pull requests for the same attention_backends page, but they are sequential edits rather than the same concrete change. PR 12320 is the foundational page creation and best represents the cluster; the other two are follow-up doc tweaks/additions.", + "confidence": 0.77, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12320 is the canonical PR because it introduces the attention_backends documentation page itself, which is the base artifact the later edits build on.", + "best_issue_reason": null, + "best_pr_reason": "PR 12320 is the best representative PR for this cluster since it is the initial, most substantive change and the later PRs are incremental edits to the same page.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12320", + "right": "pull_request:12394", + "accept": false, + "reason": "Same doc file, but 12394 is a later wording/formatting cleanup on the already-added page, not the same underlying change and not something that should be merged as one PR." + }, + { + "left": "pull_request:12320", + "right": "pull_request:12486", + "accept": false, + "reason": "12320 creates the docs page, while 12486 adds a new 'Checks' section describing behavior and environment flags; related file, but a distinct follow-up change rather than the same PR." + }, + { + "left": "pull_request:12394", + "right": "pull_request:12486", + "accept": false, + "reason": "Both edit the same documentation page, but they cover different topics and timing; this is not the same concrete change and would not naturally be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 72, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12322-2", + "nodes": [ + "pull_request:12322", + "pull_request:12820" + ], + "soft_pairs": [ + "pull_request:12322|pull_request:12820" + ], + "prepared_review_unit_hash": "1cff384175f2cabfac3d970de118c58b2286aa64e3835ca43fc823ee37f9776a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5871, + "estimated_input_tokens": 1468, + "estimated_eval_tokens": 3192 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5871, + "estimated_input_tokens": 1468, + "estimated_eval_tokens": 3192 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests are essentially the same refactor: introducing pipeline-specific mixins across the same community pipeline files. PR #12820 looks like the later, active iteration of the same change and likely supersedes #12322.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12820 is the later open PR with the same title, same affected files, and the same refactor scope; it is the best candidate to represent the cluster over the older closed draft #12322.", + "best_issue_reason": null, + "best_pr_reason": "PR #12820 is the best representative because it is current, open, and appears to be the continuation/supersession of the earlier draft while targeting the same concrete code change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12322", + "right": "pull_request:12820", + "accept": true, + "reason": "Same title, same affected pipeline files, and the same concrete refactor to pipeline-specific mixins; these look like the same underlying PR change, likely an updated iteration." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 73, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12336-2", + "nodes": [ + "pull_request:12336", + "pull_request:12342" + ], + "soft_pairs": [ + "pull_request:12336|pull_request:12342" + ], + "prepared_review_unit_hash": "803b026798dffeb06c00a77f65ed83919a8b1d525890040e8f382fac5e141ef9", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4269, + "estimated_input_tokens": 1068, + "estimated_eval_tokens": 2392 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4269, + "estimated_input_tokens": 1068, + "estimated_eval_tokens": 2392 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests appear to be the same tiling fix for `AutoencoderKLWan` with identical file scope and near-identical diffs, so they should be clustered together. The open PR is the better representative.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12342 is the newer, still-open copy of the same fix and is the best representative of the duplicated change set.", + "best_issue_reason": null, + "best_pr_reason": "PR #12342 is the strongest single PR to keep because it is current/open and matches the exact same code change as #12336.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12336", + "right": "pull_request:12342", + "accept": true, + "reason": "Same title, same target file, and the diff preview shows the same tiling-compression adjustment in `AutoencoderKLWan`; these look like duplicate PRs for the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 74, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12351-2", + "nodes": [ + "pull_request:12351", + "pull_request:12366" + ], + "soft_pairs": [ + "pull_request:12351|pull_request:12366" + ], + "prepared_review_unit_hash": "52a862763200c976dd61f2ea9eb9008a4ee8915af0af651da733069391c5e3f4", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4435, + "estimated_input_tokens": 1109, + "estimated_eval_tokens": 2474 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4435, + "estimated_input_tokens": 1109, + "estimated_eval_tokens": 2474 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests add the same CacheDiT documentation page and the same toctree entry, with only minor wording/content revisions between them. PR #12366 appears to be the later merged version of the same change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12366 is the merged, more complete version of the CacheDiT docs addition, so it is the best canonical representative.", + "best_issue_reason": null, + "best_pr_reason": "PR #12366 is the strongest cluster representative because it is the merged PR that implements the same documentation change as #12351.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12351", + "right": "pull_request:12366", + "accept": true, + "reason": "Same underlying docs change: both add CacheDiT to the docs navigation and create the CacheDiT page; the later PR looks like a revised/merged follow-up of the earlier one." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 75, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12352-3", + "nodes": [ + "pull_request:12352", + "pull_request:12379", + "pull_request:12621" + ], + "soft_pairs": [ + "pull_request:12352|pull_request:12621", + "pull_request:12379|pull_request:12621" + ], + "prepared_review_unit_hash": "64fc505d31fa89a216d8bce2d3e0ba6c101d24b5e97d280093839a0f403fa901", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7841, + "estimated_input_tokens": 1961, + "estimated_eval_tokens": 4178 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7841, + "estimated_input_tokens": 1961, + "estimated_eval_tokens": 4178 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are thematically related by reducing unittest usage in tests, but they address different code paths and should not be deduplicated together. The shared theme is too broad to merge them into one change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12621 is the best canonical PR for the cluster because it makes the foundational utility-layer change in `tests/testing_utils.py` and is the most central, self-contained refactor among the three.", + "best_issue_reason": null, + "best_pr_reason": "PR #12621 is the best overall PR candidate: it is merged, touches shared test infrastructure, and represents the clearest standalone change. The other PRs are separate follow-ons in different test files.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12352", + "right": "pull_request:12621", + "accept": false, + "reason": "Both relate to test cleanup, but #12352 adds a single-file tester mixin and updates many single-file tests, while #12621 only swaps `unittest` skip decorators in shared testing utilities. Different scope and code paths." + }, + { + "left": "pull_request:12379", + "right": "pull_request:12621", + "accept": false, + "reason": "#12379 refactors `ModelTesterMixin` and a modeling test file, whereas #12621 changes shared skip decorators in `testing_utils.py`. They are related by theme but not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 76, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1236-2", + "nodes": [ + "pull_request:1236", + "pull_request:1457" + ], + "soft_pairs": [ + "pull_request:1236|pull_request:1457" + ], + "prepared_review_unit_hash": "aaa9ff6a2dbc505385e0eb47e735dbde058ed504a0696a720ab3b30a2eb95110", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4530, + "estimated_input_tokens": 1133, + "estimated_eval_tokens": 2522 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4530, + "estimated_input_tokens": 1133, + "estimated_eval_tokens": 2522 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs target DDIM sampling changes in the same code path, centered on uneven timestep handling in the DDIM pipeline/scheduler. PR #1457 appears to be the more complete follow-up implementation, while #1236 is an earlier, narrower variant.", + "confidence": 0.77, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1457 is the more complete DDIM timestep-pair implementation: it touches the same pipeline and scheduler files as #1236, adds the tensor extraction helper, and includes tests, making it the better canonical PR for this change cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #1457 is the best representative because it subsumes the same DDIM uneven-jump work with a fuller scheduler/pipeline implementation and verification, whereas #1236 is an earlier partial adjustment.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1236", + "right": "pull_request:1457", + "accept": true, + "reason": "Both PRs modify the DDIM pipeline and scheduler to support nonstandard/paired timesteps in the same sampling path; #1457 looks like an expanded version of the same underlying change rather than a different feature." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 77, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12382-5", + "nodes": [ + "pull_request:12382", + "pull_request:12639", + "pull_request:13234", + "pull_request:13242", + "pull_request:13491" + ], + "soft_pairs": [ + "pull_request:12382|pull_request:13234", + "pull_request:12639|pull_request:13491", + "pull_request:13234|pull_request:13242", + "pull_request:13234|pull_request:13491" + ], + "prepared_review_unit_hash": "c4cc9d1667e774afaa595ff98028e00fa8c06945c0dac16fbb07921d94b3c948", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 10393, + "estimated_input_tokens": 2599, + "estimated_eval_tokens": 5454 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 4, + "serialized_chars": 10393, + "estimated_input_tokens": 2599, + "estimated_eval_tokens": 5454 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is mostly unrelated group-offloading test maintenance plus one concrete test fix; there is no clear duplicate issue, and the best PR is the one that addresses the actual disk offloading test failure.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13491 is the only clear functional fix in the cluster: it adjusts the disk group-offloading test path by passing block_modules, directly targeting the failing behavior.", + "best_issue_reason": null, + "best_pr_reason": "PR 13491 best represents the underlying bug fix. The others are either test-skip removal, pytest migration, or an unrelated PEFT adapter-offload issue.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12382", + "right": "pull_request:13234", + "accept": false, + "reason": "12382 removes a Qwen-specific test skip; 13234 is a pytest migration for group offloading tests. Same broad area, but not the same concrete bug or change." + }, + { + "left": "pull_request:12639", + "right": "pull_request:13491", + "accept": false, + "reason": "12639 fixes group offloading state after delete_adapters in PEFT; 13491 fixes disk offloading test setup. Different code paths and failure modes." + }, + { + "left": "pull_request:13234", + "right": "pull_request:13242", + "accept": false, + "reason": "Both are test-framework migrations to pytest, but they touch different test files and are not the same underlying change or bug." + }, + { + "left": "pull_request:13234", + "right": "pull_request:13491", + "accept": false, + "reason": "13234 is a broad test refactor; 13491 is a specific disk offloading test fix. They are not mergeable as one duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 78, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12384-2", + "nodes": [ + "pull_request:12384", + "pull_request:12389" + ], + "soft_pairs": [ + "pull_request:12384|pull_request:12389" + ], + "prepared_review_unit_hash": "f67325c08532017ecb078b125805975b2983d8c8653924c02cddcec0afd4b774", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5943, + "estimated_input_tokens": 1486, + "estimated_eval_tokens": 3228 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5943, + "estimated_input_tokens": 1486, + "estimated_eval_tokens": 3228 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The cluster centers on Hugging Face Hub v1 compatibility, but the two PRs are not duplicates: one is a temporary test/adaptation branch, the other is the actual compatibility fix merged into the codebase.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12389 is the substantive, merged change that updates dependency bounds and error handling to support both huggingface_hub v0.x and v1.x across library code and tests. PR #12384 is explicitly temporary/test-only and does not represent the final fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #12389 is the best representative of the cluster because it directly addresses the compatibility problem in production code and was merged. PR #12384 is a transient validation branch for testing against upstream changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12384", + "right": "pull_request:12389", + "accept": false, + "reason": "They are related to the same upstream hub version transition, but they are not the same underlying change: #12384 is a temporary test/workflow adaptation, while #12389 implements the real compatibility fix in code. They would not plausibly be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 79, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12478-3", + "nodes": [ + "pull_request:12478", + "pull_request:12582", + "pull_request:12664" + ], + "soft_pairs": [ + "pull_request:12478|pull_request:12664", + "pull_request:12582|pull_request:12664" + ], + "prepared_review_unit_hash": "f633aca9d3ad75d12f77fc1bc938101a4389ae7786505a78062cb9287e8a52f2", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8446, + "estimated_input_tokens": 2112, + "estimated_eval_tokens": 4480 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8446, + "estimated_input_tokens": 2112, + "estimated_eval_tokens": 4480 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs are related to the Kandinsky 5 family, but they are not the same change. PR #12478 is the initial Kandinsky 5 integration, #12582 is docs-only cleanup/renaming, and #12664 adds separate Image Lite / Video Pro support with additional pipelines, tests, and docs. They should not be clustered as duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12664 is the best representative of the cluster because it is the broadest and most substantive Kandinsky 5 change, covering new image/video pipeline variants, API exposure, docs, and tests.", + "best_issue_reason": null, + "best_pr_reason": "PR #12664 is the strongest standalone PR in this set: it introduces new functionality rather than only initial integration or documentation tweaks.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12478", + "right": "pull_request:12664", + "accept": false, + "reason": "Related only at the family/subsystem level. #12478 adds the original Kandinsky 5 integration, while #12664 adds later Image Lite/Video Pro variants and extra pipeline files; these are not the same concrete fix/change." + }, + { + "left": "pull_request:12582", + "right": "pull_request:12664", + "accept": false, + "reason": "#12582 is docs-only renaming/toctree cleanup, while #12664 introduces substantial code, tests, and docs for new Kandinsky 5 variants. They do not represent the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 80, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12545-2", + "nodes": [ + "pull_request:12545", + "pull_request:12930" + ], + "soft_pairs": [ + "pull_request:12545|pull_request:12930" + ], + "prepared_review_unit_hash": "6718d9c10aa00d499ca99c60bda81796ba8bed4cb31578c93d1fcd528bbfbdb5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5664, + "estimated_input_tokens": 1416, + "estimated_eval_tokens": 3088 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5664, + "estimated_input_tokens": 1416, + "estimated_eval_tokens": 3088 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related but distinct PRs: one adds the original Bria Fibo model/pipeline, the other adds a separate Bria Fibo edit pipeline. They share infrastructure files, but they implement different concrete features and should not be deduplicated.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12545 is the better canonical PR because it introduces the base Bria Fibo model and pipeline, which is the foundational implementation that the edit pipeline builds on.", + "best_issue_reason": null, + "best_pr_reason": "PR 12545 is the best overall representative of the cluster since it is the original feature addition and has broader scope than the later edit-specific follow-up.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12545", + "right": "pull_request:12930", + "accept": false, + "reason": "Reject: these are different changes. 12545 adds the core Bria Fibo model/pipeline, while 12930 adds a separate Bria Fibo edit pipeline with its own code path. Shared files and subsystem are not enough to treat them as the same PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 81, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12563-2", + "nodes": [ + "pull_request:12563", + "pull_request:12829" + ], + "soft_pairs": [ + "pull_request:12563|pull_request:12829" + ], + "prepared_review_unit_hash": "5f8ec820d1192d62b0b53bbad209983d92021658a1b65007a5a8da6e91c53e0e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4217, + "estimated_input_tokens": 1055, + "estimated_eval_tokens": 2366 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4217, + "estimated_input_tokens": 1055, + "estimated_eval_tokens": 2366 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs touch the same file but implement different native-attention features: one enables Ulysses in the native attention path, the other adds CP support for native flash attention. They are related subsystems, not the same change or bug fix.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: PR 12563 and PR 12829 modify different code paths and add different capabilities, so they are not duplicates of the same fix/change.", + "best_issue_reason": null, + "best_pr_reason": "No single best PR for duplication purposes; neither PR subsumes the other, and they should not be merged as one change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12563", + "right": "pull_request:12829", + "accept": false, + "reason": "Same file, but different concrete changes: 12563 is about Ulysses support in native attention, while 12829 is about CP support in native flash attention. Not the same underlying bug/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 82, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12617-3", + "nodes": [ + "pull_request:12617", + "pull_request:12671", + "pull_request:13481" + ], + "soft_pairs": [ + "pull_request:12617|pull_request:12671", + "pull_request:12617|pull_request:13481" + ], + "prepared_review_unit_hash": "6ec4b8344c72082d05e585b8b93931e1b21e24112a1d4a1ddd51ee5c3743e3c2", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6757, + "estimated_input_tokens": 1690, + "estimated_eval_tokens": 3636 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6757, + "estimated_input_tokens": 1690, + "estimated_eval_tokens": 3636 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two PRs are closely related CI workflow fixes for the same dependency-installation failure pattern; the BnB model fix is unrelated and should stay separate.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12671 is the broader, more representative CI fix: it applies the same transformers/huggingface_hub environment workaround across nightly/release test jobs, making it the best canonical PR for this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #12671 best captures the shared underlying CI dependency problem and has the clearest generalized scope across workflow files.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12617", + "right": "pull_request:12671", + "accept": true, + "reason": "Both PRs patch CI workflows to work around the same transformers/huggingface_hub install incompatibility by reinstalling prerelease transformers; they are plausibly mergeable into one combined CI-fix PR." + }, + { + "left": "pull_request:12617", + "right": "pull_request:13481", + "accept": false, + "reason": "These address different problems: #12617 is a CI workflow dependency/install workaround, while #13481 changes model attention/quantization code for BnB tensor shape handling. They do not share the same underlying bug or change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: PRs 12617 and 12671 both make the same CI dependency workaround in different workflow files, while 13481 is a separate BnB/model-quantization fix. The soft-edge verdicts are conservative and the accept/deny judgments match the diffs. No overstatement detected." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 83, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 2, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12622-22", + "nodes": [ + "pull_request:12622", + "pull_request:12623", + "pull_request:12651", + "pull_request:12654", + "pull_request:12676", + "pull_request:12678", + "pull_request:12710", + "pull_request:12726", + "pull_request:12766", + "pull_request:12767", + "pull_request:12796", + "pull_request:12798", + "pull_request:12871", + "pull_request:12928", + "pull_request:12931", + "pull_request:12936", + "pull_request:12992", + "pull_request:13010", + "pull_request:13020", + "pull_request:13023", + "pull_request:13024", + "pull_request:13027" + ], + "soft_pairs": [ + "pull_request:12623|pull_request:12654", + "pull_request:12623|pull_request:12676", + "pull_request:12623|pull_request:12678", + "pull_request:12623|pull_request:12710", + "pull_request:12623|pull_request:12726", + "pull_request:12623|pull_request:12766", + "pull_request:12623|pull_request:12767", + "pull_request:12623|pull_request:12796", + "pull_request:12623|pull_request:12798", + "pull_request:12623|pull_request:12871", + "pull_request:12623|pull_request:12928", + "pull_request:12623|pull_request:12931", + "pull_request:12623|pull_request:12936", + "pull_request:12623|pull_request:12992", + "pull_request:12623|pull_request:13010", + "pull_request:12623|pull_request:13020", + "pull_request:12623|pull_request:13023", + "pull_request:12623|pull_request:13024", + "pull_request:12623|pull_request:13027", + "pull_request:12654|pull_request:12676", + "pull_request:12654|pull_request:12678", + "pull_request:12654|pull_request:12710", + "pull_request:12654|pull_request:12726", + "pull_request:12654|pull_request:12766", + "pull_request:12654|pull_request:12767", + "pull_request:12654|pull_request:12796", + "pull_request:12654|pull_request:12798", + "pull_request:12654|pull_request:12871", + "pull_request:12654|pull_request:12928", + "pull_request:12654|pull_request:12931", + "pull_request:12654|pull_request:12936", + "pull_request:12654|pull_request:12992", + "pull_request:12654|pull_request:13010", + "pull_request:12654|pull_request:13020", + "pull_request:12654|pull_request:13023", + "pull_request:12654|pull_request:13024", + "pull_request:12654|pull_request:13027", + "pull_request:12676|pull_request:12678", + "pull_request:12676|pull_request:12710", + "pull_request:12676|pull_request:12726", + "pull_request:12676|pull_request:12766", + "pull_request:12676|pull_request:12767", + "pull_request:12676|pull_request:12796", + "pull_request:12676|pull_request:12798", + "pull_request:12676|pull_request:12871", + "pull_request:12676|pull_request:12928", + "pull_request:12676|pull_request:12931", + "pull_request:12676|pull_request:12936", + "pull_request:12676|pull_request:12992", + "pull_request:12676|pull_request:13010", + "pull_request:12676|pull_request:13020", + "pull_request:12676|pull_request:13023", + "pull_request:12676|pull_request:13024", + "pull_request:12676|pull_request:13027", + "pull_request:12622|pull_request:12651", + "pull_request:12651|pull_request:12654", + "pull_request:12651|pull_request:12676", + "pull_request:12651|pull_request:12678", + "pull_request:12651|pull_request:12710", + "pull_request:12651|pull_request:12726", + "pull_request:12651|pull_request:12766", + "pull_request:12651|pull_request:12767", + "pull_request:12651|pull_request:12796", + "pull_request:12651|pull_request:12798", + "pull_request:12651|pull_request:12871", + "pull_request:12651|pull_request:12928", + "pull_request:12651|pull_request:12931", + "pull_request:12651|pull_request:12936", + "pull_request:12651|pull_request:12992", + "pull_request:12651|pull_request:13010", + "pull_request:12651|pull_request:13020", + "pull_request:12651|pull_request:13023" + ], + "prepared_review_unit_hash": "47c4f514b6f62f0081d1c6cccac36d8e93cecf2365c1ee561bb5018f98d99672", + "component_budget": { + "node_count": 22, + "item_count": 22, + "soft_pair_count": 95, + "serialized_chars": 90548, + "estimated_input_tokens": 22637, + "estimated_eval_tokens": 45530 + }, + "budget": { + "node_count": 22, + "item_count": 22, + "soft_pair_count": 72, + "serialized_chars": 74155, + "estimated_input_tokens": 18539, + "estimated_eval_tokens": 37334 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a chain of very similar scheduler cleanups (docstrings/type hints) across different files. They are related in style and subsystem, but they are not duplicate bug fixes or the same concrete code change, so the soft edges should stay split.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12651 is the most central representative of the cleanup wave: it is an early, broad scheduler docstring/type-hint sweep and overlaps with many later follow-on PRs.", + "best_issue_reason": null, + "best_pr_reason": "PR 12651 best captures the cluster\u2019s main theme while still being broad enough to represent the repeated scheduler cleanup pattern across multiple files.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12623", + "right": "pull_request:12654", + "accept": false, + "reason": "Same broad style of cleanup, but different scheduler file sets and separate edits; not the same concrete change." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12676", + "accept": false, + "reason": "Different target file and separate docstring/type-hint cleanup; 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the edited files differ, so this is not the same change." + }, + { + "left": "pull_request:12623", + "right": "pull_request:13010", + "accept": false, + "reason": "Different file-scoped cleanup work; not the same concrete bug or code change." + }, + { + "left": "pull_request:12623", + "right": "pull_request:13020", + "accept": false, + "reason": "Separate scheduler cleanup in another file; same class of change, not duplicate." + }, + { + "left": "pull_request:12623", + "right": "pull_request:13023", + "accept": false, + "reason": "Different scheduler module and independent docs/type-hint update; do not merge as duplicates." + }, + { + "left": "pull_request:12623", + "right": "pull_request:13024", + "accept": false, + "reason": "Same cleanup pattern but a different file and change set; not a duplicate." + }, + { + "left": "pull_request:12623", + "right": "pull_request:13027", + "accept": false, + "reason": "Separate scheduler cleanup across different files; not the same underlying change." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12676", + "accept": false, + "reason": "Both are doc/type cleanups, but they target different scheduler files and independent changes." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12678", + "accept": false, + "reason": "Different scheduler helper paths and different file sets; 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not a duplicate." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12871", + "accept": false, + "reason": "Distinct scheduler cleanup work; same subsystem, not same change." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12928", + "accept": false, + "reason": "One is a broad scheduler cleanup, the other a different scheduler file cleanup; not duplicate." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12931", + "accept": false, + "reason": "Different file and independent doc/type hint edits; not the same code change." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12936", + "accept": false, + "reason": "Shared theme only; no shared concrete bug or exact change set." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12992", + "accept": false, + "reason": "These are overlapping cleanup sweeps, but still separate file-specific PRs." + }, + { + "left": "pull_request:12654", + "right": "pull_request:13010", + "accept": false, + "reason": "Different scheduler file and independent cleanup; not a duplicate." + }, + { + "left": "pull_request:12654", + "right": "pull_request:13020", + "accept": false, + "reason": "Separate docstring/type-hint update in another scheduler module." + }, + { + "left": "pull_request:12654", + "right": "pull_request:13023", + "accept": false, + "reason": "Different scheduler file and different change set; same kind of cleanup only." + }, + { + "left": "pull_request:12654", + "right": "pull_request:13024", + "accept": false, + "reason": "File-specific cleanup in a different module; not the same underlying change." + }, + { + "left": "pull_request:12654", + "right": "pull_request:13027", + "accept": false, + "reason": "Distinct scheduler cleanup work, not one mergeable concrete fix." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12678", + "accept": false, + "reason": "Both touch schedulers, but they are separate file-scoped doc/type updates with no shared bug." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12710", + "accept": false, + "reason": "Different scheduler modules and distinct cleanup PRs; not duplicates." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12726", + "accept": false, + "reason": "Separate docstring/type-hint cleanup for a different scheduler file." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12766", + "accept": false, + "reason": "Different scheduler and change set; same broad theme only." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12767", + "accept": false, + "reason": "Independent cleanup in another scheduler module, not the same change." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12796", + "accept": false, + "reason": "Different file and separate doc/type hint edits; not a duplicate." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12798", + "accept": false, + "reason": "File-specific scheduler cleanup, not the same underlying fix." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12871", + "accept": false, + "reason": "Same subsystem, but different concrete file changes and no shared code-path issue." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12928", + "accept": false, + "reason": "Different scheduler file and unrelated cleanup scope." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12931", + "accept": false, + "reason": "Separate doc/type hint cleanup in another module; not a duplicate." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12936", + "accept": false, + "reason": "Same category of change, but not the same scheduler or code path." + }, + { + "left": "pull_request:12676", + "right": "pull_request:12992", + "accept": false, + "reason": "Broadly similar cleanup, but the PRs target different files and should not be merged." + }, + { + "left": "pull_request:12676", + "right": "pull_request:13010", + "accept": false, + "reason": "Different scheduler module and independent refactor work." + }, + { + "left": "pull_request:12676", + "right": "pull_request:13020", + "accept": false, + "reason": "Distinct file-scoped cleanup; not the same concrete change." + }, + { + "left": "pull_request:12676", + "right": "pull_request:13023", + "accept": false, + "reason": "Different scheduler file and separate doc/type updates; not duplicates." + }, + { + "left": "pull_request:12654", + "right": "pull_request:12654", + "accept": false, + "reason": "Same node should not be treated as a soft-edge duplicate in this triage set." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 83, + "component_count": 255, + "review_unit_index": 2, + "review_unit_count": 2, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12622-22", + "nodes": [ + "pull_request:12622", + "pull_request:12623", + "pull_request:12651", + "pull_request:12654", + "pull_request:12676", + "pull_request:12678", + "pull_request:12710", + "pull_request:12726", + "pull_request:12766", + "pull_request:12767", + "pull_request:12796", + "pull_request:12798", + "pull_request:12871", + "pull_request:12928", + "pull_request:12931", + "pull_request:12936", + "pull_request:12992", + "pull_request:13010", + "pull_request:13020", + "pull_request:13023", + "pull_request:13024", + "pull_request:13027" + ], + "soft_pairs": [ + "pull_request:12651|pull_request:13024", + "pull_request:12651|pull_request:13027", + "pull_request:12622|pull_request:12654", + "pull_request:12622|pull_request:12676", + "pull_request:12622|pull_request:12678", + "pull_request:12622|pull_request:12710", + "pull_request:12622|pull_request:12726", + "pull_request:12622|pull_request:12766", + "pull_request:12622|pull_request:12767", + "pull_request:12622|pull_request:12796", + "pull_request:12622|pull_request:12798", + "pull_request:12622|pull_request:12871", + "pull_request:12622|pull_request:12928", + "pull_request:12622|pull_request:12931", + "pull_request:12622|pull_request:12936", + "pull_request:12622|pull_request:12992", + "pull_request:12622|pull_request:13010", + "pull_request:12622|pull_request:13020", + "pull_request:12622|pull_request:13023", + "pull_request:12622|pull_request:13024", + "pull_request:12622|pull_request:13027", + "pull_request:12623|pull_request:12651", + "pull_request:12622|pull_request:12623" + ], + "prepared_review_unit_hash": "ff2c233d2e1f36047c1a00ae82b2a56187708bf9612723e3506beaa3c0524aa0", + "component_budget": { + "node_count": 22, + "item_count": 22, + "soft_pair_count": 95, + "serialized_chars": 90548, + "estimated_input_tokens": 22637, + "estimated_eval_tokens": 45530 + }, + "budget": { + "node_count": 22, + "item_count": 22, + "soft_pair_count": 23, + "serialized_chars": 55930, + "estimated_input_tokens": 13983, + "estimated_eval_tokens": 28222 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These PRs are mostly a series of similar docstring/type-hint cleanups across different scheduler modules. They share vocabulary and sometimes copied helper functions, but they are not the same concrete change or bug fix, so they should not be merged as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a true duplicate canonical fit; the cluster contains separate scheduler-specific cleanup PRs, not one underlying bug/change.", + "best_issue_reason": null, + "best_pr_reason": "PR 12622 is the broadest representative of the pattern, touching many scheduler files and serving as the closest cluster anchor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12651", + "right": "pull_request:13024", + "accept": false, + "reason": "Both are scheduler maintenance PRs, but they target different implementations and changes; not the same concrete fix." + }, + { + "left": "pull_request:12651", + "right": "pull_request:13027", + "accept": false, + "reason": "Overlap in touched files is not enough here; the edits are separate doc/type-hint updates, not one mergeable change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12654", + "accept": false, + "reason": "Different scheduler modules and different codepaths; these are parallel cleanup PRs, not duplicates." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12676", + "accept": false, + "reason": "PNDM docstring cleanup is separate from DDIM-related scheduler cleanup." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12678", + "accept": false, + "reason": "Different scheduler/helper update, not the same underlying bug or code change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12710", + "accept": false, + "reason": "Broadly similar style work, but on different scheduler families and different functions." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12726", + "accept": false, + "reason": "Heun scheduler docs/type hints are unrelated to the DDIM cleanup." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12766", + "accept": false, + "reason": "Euler ancestral cleanup is a separate scheduler-specific refactor." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12767", + "accept": false, + "reason": "UniPC cleanup is distinct from the DDIM doc/type-hint changes." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12796", + "accept": false, + "reason": "DEIS scheduler doc updates are not the same change as the DDIM PR." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12798", + "accept": false, + "reason": "DPMSolver singlestep cleanup is a separate scheduler module update." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12871", + "accept": false, + "reason": "EDM/Euler-related doc/type-hint work is a different concrete change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12928", + "accept": false, + "reason": "Consistency decoder docstring expansion is a distinct scheduler-specific PR." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12931", + "accept": false, + "reason": "Consistency models scheduler cleanup is separate and not the same underlying fix." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12936", + "accept": false, + "reason": "Cosine DPM-Solver scheduler changes are distinct from the DDIM cleanup." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12992", + "accept": false, + "reason": "Despite similar filenames, this is another broad scheduler doc/type-hint pass, not one identical change." + }, + { + "left": "pull_request:12622", + "right": "pull_request:13010", + "accept": false, + "reason": "Flax DDIM deprecation warning and related edits are a different change set." + }, + { + "left": "pull_request:12622", + "right": "pull_request:13020", + "accept": false, + "reason": "DDIM inverse typing cleanup is separate from the DDIM scheduler PR." + }, + { + "left": "pull_request:12622", + "right": "pull_request:13023", + "accept": false, + "reason": "DDIM parallel helper typing changes are not the same concrete PR as the DDIM docstring cleanup." + }, + { + "left": "pull_request:12622", + "right": "pull_request:13024", + "accept": false, + "reason": "DDPM Flax updates are a different module and change theme." + }, + { + "left": "pull_request:12622", + "right": "pull_request:13027", + "accept": false, + "reason": "Both are DDPM-family cleanup PRs, but they are separate edits to different scheduler files and should not be merged as duplicates." + }, + { + "left": "pull_request:12623", + "right": "pull_request:12651", + "accept": false, + "reason": "AMUSED scheduler doc/type-hint cleanup is unrelated to the DDPM/consistency-decoder family changes." + }, + { + "left": "pull_request:12622", + "right": "pull_request:12623", + "accept": false, + "reason": "DDIM and AMUSED scheduler cleanups are different concrete changes in different files." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 84, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12703-4", + "nodes": [ + "pull_request:12703", + "pull_request:12715", + "pull_request:12828", + "pull_request:13317" + ], + "soft_pairs": [ + "pull_request:12703|pull_request:12715", + "pull_request:12703|pull_request:12828", + "pull_request:12703|pull_request:13317", + "pull_request:12715|pull_request:12828" + ], + "prepared_review_unit_hash": "6292cf709b4e49b8a9fa5a6af77b1e15c7da3ed29b22d5753976c4d97665e1b5", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 12182, + "estimated_input_tokens": 3046, + "estimated_eval_tokens": 6348 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 12182, + "estimated_input_tokens": 3046, + "estimated_eval_tokens": 6348 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is mostly a set of separate model-support PRs for different image model families. PR #12703 is the foundational Z-Image support change; #12715 is a follow-up Z-Image fix/test update; #12828 adds LongCat-Image; and #13317 adds NucleusMoE-Image. They are related by subsystem, but not duplicates of the same underlying change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "#12703 is the best canonical PR because it is the earliest and broadest Z-Image implementation change, while the others are either a follow-up fix for Z-Image or unrelated model additions.", + "best_issue_reason": null, + "best_pr_reason": "#12703 is the strongest representative of the cluster\u2019s only clearly shared subject (Z-Image). The others are distinct model integrations or a targeted follow-up fix, so #12703 is the most central PR to anchor the group.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12703", + "right": "pull_request:12715", + "accept": false, + "reason": "Related Z-Image work, but not the same change: #12703 adds the feature, while #12715 fixes dtype/attention-mask behavior and tests. They could not cleanly be treated as one duplicate PR." + }, + { + "left": "pull_request:12703", + "right": "pull_request:12828", + "accept": false, + "reason": "Different underlying feature sets: Z-Image vs LongCat-Image. Shared scaffolding files do not make them the same code-path fix/change." + }, + { + "left": "pull_request:12703", + "right": "pull_request:13317", + "accept": false, + "reason": "Different model family entirely (Z-Image vs NucleusMoE-Image). Same broad area, but not the same concrete change." + }, + { + "left": "pull_request:12715", + "right": "pull_request:12828", + "accept": false, + "reason": "A Z-Image bugfix/test update is unrelated to adding LongCat-Image support; no shared underlying bug or mergeable single fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 85, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12724-10", + "nodes": [ + "pull_request:12724", + "pull_request:13031", + "pull_request:13044", + "pull_request:13083", + "pull_request:13085", + "pull_request:13122", + "pull_request:13127", + "pull_request:13130", + "pull_request:13160", + "pull_request:13198" + ], + "soft_pairs": [ + "pull_request:12724|pull_request:13031", + "pull_request:12724|pull_request:13044", + "pull_request:12724|pull_request:13083", + "pull_request:12724|pull_request:13085", + "pull_request:12724|pull_request:13122", + "pull_request:13044|pull_request:13083", + "pull_request:13044|pull_request:13085", + "pull_request:13044|pull_request:13122", + "pull_request:13044|pull_request:13127", + "pull_request:13044|pull_request:13130", + "pull_request:13083|pull_request:13085", + "pull_request:13083|pull_request:13122", + "pull_request:13083|pull_request:13127", + "pull_request:13083|pull_request:13130", + "pull_request:13085|pull_request:13122", + "pull_request:13085|pull_request:13127", + "pull_request:13085|pull_request:13130", + "pull_request:13122|pull_request:13127", + "pull_request:13122|pull_request:13130", + "pull_request:13127|pull_request:13130", + "pull_request:13044|pull_request:13160", + "pull_request:13083|pull_request:13160", + "pull_request:13085|pull_request:13160", + "pull_request:13122|pull_request:13160", + "pull_request:13127|pull_request:13160", + "pull_request:13044|pull_request:13198", + "pull_request:13083|pull_request:13198", + "pull_request:13085|pull_request:13198", + "pull_request:13122|pull_request:13198", + "pull_request:13127|pull_request:13198" + ], + "prepared_review_unit_hash": "e4445c6b6a408665a05bdb1bbca8ae0198fdfbe31bd2a1ecb43877bae5d1db89", + "component_budget": { + "node_count": 10, + "item_count": 10, + "soft_pair_count": 30, + "serialized_chars": 33362, + "estimated_input_tokens": 8341, + "estimated_eval_tokens": 16938 + }, + "budget": { + "node_count": 10, + "item_count": 10, + "soft_pair_count": 30, + "serialized_chars": 33362, + "estimated_input_tokens": 8341, + "estimated_eval_tokens": 16938 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are broadly similar scheduler doc/typing cleanups, but they target different files and different changes. The cluster does not look like a single duplicate underlying bug or change set.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "PR 13083 is the broadest scheduler-doc cleanup in the set, so it is the closest thing to a representative PR, but it is still distinct from the others and should not be treated as their duplicate.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12724", + "right": "pull_request:13031", + "accept": false, + "reason": "Imagen Video link update vs Flax deprecation warning; different files and unrelated changes." + }, + { + "left": "pull_request:12724", + "right": "pull_request:13044", + "accept": false, + "reason": "Docs link refresh vs a CogVideoX scheduler docstring tweak; same broad area, different change." + }, + { + "left": "pull_request:12724", + "right": "pull_request:13083", + "accept": false, + "reason": "Single docs link update vs a multi-file DPM solver doc cleanup; not the same underlying change." + }, + { + "left": "pull_request:12724", + "right": "pull_request:13085", + "accept": false, + "reason": "Docs link update vs dpmsolver_sde type/code changes; different code path and purpose." + }, + { + "left": "pull_request:12724", + "right": "pull_request:13122", + "accept": false, + "reason": "Docs link update vs EDM DPM solver docstring edits; unrelated content." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13083", + "accept": false, + "reason": "CogVideoX docstring fix vs broader DPM solver inverse/variant doc cleanup; different scheduler families and scope." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13085", + "accept": false, + "reason": "Docs-only CogVideoX change vs dpmsolver_sde code/type changes; not the same fix." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13122", + "accept": false, + "reason": "Different schedulers and different doc text; no shared concrete bug." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13127", + "accept": false, + "reason": "CogVideoX docs vs FlowMatch Euler docs/type updates; unrelated scheduler implementations." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13130", + "accept": false, + "reason": "CogVideoX docs vs FlowMatch Heun docs/type change; different files and change type." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13160", + "accept": false, + "reason": "CogVideoX docs vs FlowMatch LCM docs; same broad subsystem only." + }, + { + "left": "pull_request:13044", + "right": "pull_request:13198", + "accept": false, + "reason": "CogVideoX docs vs IPNDM doc/type cleanup; different scheduler and change." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13085", + "accept": false, + "reason": "Docs cleanup across DPM solver files vs dpmsolver_sde code/type changes; not mergeable as one concrete fix." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13122", + "accept": false, + "reason": "Both are scheduler docs, but they touch different scheduler implementations and different docstrings." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13127", + "accept": false, + "reason": "DPM solver doc cleanup vs FlowMatch Euler docs/type changes; different code paths." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13130", + "accept": false, + "reason": "DPM solver docs vs FlowMatch Heun docs; similar theme only, not the same change." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13160", + "accept": false, + "reason": "Different scheduler families and different doc updates; not duplicates." + }, + { + "left": "pull_request:13083", + "right": "pull_request:13198", + "accept": false, + "reason": "DPM solver doc cleanup vs IPNDM docs/type cleanup; distinct PRs." + }, + { + "left": "pull_request:13085", + "right": "pull_request:13122", + "accept": false, + "reason": "dpmsolver_sde code/type change vs EDM DPM solver doc cleanup; different underlying change." + }, + { + "left": "pull_request:13085", + "right": "pull_request:13127", + "accept": false, + "reason": "Scheduler code/type fix vs FlowMatch Euler docs; unrelated." + }, + { + "left": "pull_request:13085", + "right": "pull_request:13130", + "accept": false, + "reason": "Scheduler code/type fix vs FlowMatch Heun docs; unrelated." + }, + { + "left": "pull_request:13085", + "right": "pull_request:13160", + "accept": false, + "reason": "Scheduler code/type fix vs FlowMatch LCM docs; unrelated." + }, + { + "left": "pull_request:13085", + "right": "pull_request:13198", + "accept": false, + "reason": "Scheduler code/type fix vs IPNDM doc cleanup; different change." + }, + { + "left": "pull_request:13122", + "right": "pull_request:13127", + "accept": false, + "reason": "EDM DPM solver docs vs FlowMatch Euler docs/type updates; different scheduler implementations." + }, + { + "left": "pull_request:13122", + "right": "pull_request:13130", + "accept": false, + "reason": "EDM DPM solver docs vs FlowMatch Heun docs; not the same underlying bug." + }, + { + "left": "pull_request:13122", + "right": "pull_request:13160", + "accept": false, + "reason": "EDM DPM solver docs vs FlowMatch LCM docs; unrelated." + }, + { + "left": "pull_request:13122", + "right": "pull_request:13198", + "accept": false, + "reason": "EDM DPM solver docs vs IPNDM docs/type cleanup; distinct PRs." + }, + { + "left": "pull_request:13127", + "right": "pull_request:13130", + "accept": false, + "reason": "FlowMatch Euler vs FlowMatch Heun; similar family, but different scheduler implementations and edits." + }, + { + "left": "pull_request:13127", + "right": "pull_request:13160", + "accept": false, + "reason": "FlowMatch Euler vs FlowMatch LCM; different code paths and doc changes." + }, + { + "left": "pull_request:13127", + "right": "pull_request:13198", + "accept": false, + "reason": "FlowMatch Euler docs/type update vs IPNDM doc cleanup; not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 86, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12725-2", + "nodes": [ + "pull_request:12725", + "pull_request:12808" + ], + "soft_pairs": [ + "pull_request:12725|pull_request:12808" + ], + "prepared_review_unit_hash": "4eda8d772220ba783cdf39a77a87999fd74c136ebc0d293ecae918ccafb034c6", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4853, + "estimated_input_tokens": 1214, + "estimated_eval_tokens": 2684 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4853, + "estimated_input_tokens": 1214, + "estimated_eval_tokens": 2684 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are both z-image related, but they address different changes: one is a RoPE refactor in the transformer attention code, and the other adds the z-image modular pipeline integration. They should not be treated as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12808 is the better representative because it is the merged, broader z-image pipeline implementation; PR #12725 is a separate, earlier transformer refactor and does not fix the same code path.", + "best_issue_reason": null, + "best_pr_reason": "PR #12808 is the strongest single representative of the cluster because it completed the z-image modular pipeline work and was merged, while #12725 is a narrower, unrelated refactor in the model internals.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12725", + "right": "pull_request:12808", + "accept": false, + "reason": "Different underlying changes: #12725 refactors RoPE application in transformer_z_image.py, while #12808 adds z-image modular pipeline files and package exports. They touch related areas but are not the same fix/change and would not plausibly merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 87, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12743-2", + "nodes": [ + "pull_request:12743", + "pull_request:12770" + ], + "soft_pairs": [ + "pull_request:12743|pull_request:12770" + ], + "prepared_review_unit_hash": "d327fcf1439e5ce8ada4e0924da24c4fe3ec4c6da9996c01fbc532d289eb6ea1", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4345, + "estimated_input_tokens": 1087, + "estimated_eval_tokens": 2430 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4345, + "estimated_input_tokens": 1087, + "estimated_eval_tokens": 2430 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs touch the same file and broadly similar padding logic, but they fix different concrete empty-dimension issues in different paths: one for image padding, one for caption pad masks/TPU compatibility.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #12770 is the better representative because it is merged and addresses a clearly described TPU/torch_xla empty-dimension repeat failure in a specific code path.", + "best_issue_reason": null, + "best_pr_reason": "PR #12770 is the strongest standalone PR: it is merged, has a focused bug description, and the diff directly matches the reported compatibility fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12743", + "right": "pull_request:12770", + "accept": false, + "reason": "Both edit transformer_z_image.py, but they patch different logic and different failure modes: #12743 guards image padding tensor creation/repeat, while #12770 changes caption pad-mask handling for TPU/empty-dim compatibility. They do not look like the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 88, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12762-2", + "nodes": [ + "pull_request:12762", + "pull_request:13103" + ], + "soft_pairs": [ + "pull_request:12762|pull_request:13103" + ], + "prepared_review_unit_hash": "4e485bc26adeeb6e9a48b02ccfc6f7e23f2e4488c4695a8b6995e0171bc5a8a1", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3202, + "estimated_input_tokens": 801, + "estimated_eval_tokens": 1858 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3202, + "estimated_input_tokens": 801, + "estimated_eval_tokens": 1858 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests address the same from_pipe() dtype regression: avoiding an implicit float32 cast and preserving the source pipeline\u2019s dtype by default. They differ mainly in implementation detail, not in the underlying change.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13103 is the cleaner fix: it explicitly defaults to pipeline.dtype, which directly matches the bug report and makes the intended behavior obvious.", + "best_issue_reason": null, + "best_pr_reason": "PR 13103 is the best representative because it most directly implements the desired behavior in the same code path and is the more explicit of the two fixes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12762", + "right": "pull_request:13103", + "accept": true, + "reason": "Same underlying bug in from_pipe(): both prevent the default float32 cast and aim to preserve the source pipeline dtype. They are alternative implementations of the same fix and could plausibly be merged into one PR." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The packet supports the core claim that both PRs address the same from_pipe() dtype regression on the same code path and issue target. The soft-edge acceptance is conservative enough: each change removes the implicit float32 default, and the titles/diffs support the intent to preserve existing dtype. PR 13103 is reasonably described as the more explicit fix because it defaults to pipeline.dtype directly." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 89, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12788-3", + "nodes": [ + "pull_request:12788", + "pull_request:13239", + "pull_request:13240" + ], + "soft_pairs": [ + "pull_request:13239|pull_request:13240", + "pull_request:12788|pull_request:13239", + "pull_request:12788|pull_request:13240" + ], + "prepared_review_unit_hash": "e7e26e42da3248c3e4506b502e042b7a299e747e2e0687348b74e20b2b669b41", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7373, + "estimated_input_tokens": 1844, + "estimated_eval_tokens": 3944 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7373, + "estimated_input_tokens": 1844, + "estimated_eval_tokens": 3944 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "13239 and 13240 look like the same DPMSolverMultistepScheduler timestep-deduplication fix in the same code path. 12788 is related to the same scheduler and issue target, but the truncated diff and weaker evidence make it better treated as only adjacent/possibly related, not confidently the same change.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:13240 is the clearest representative because its title and diff most explicitly describe the concrete bug/fix for the shared scheduler path, while still matching 13239 closely.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:13240 is the best single representative of the cluster since it most clearly names the underlying timestep-deduplication bug and aligns with the shared code-path change across the accepted pair.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13239", + "right": "pull_request:13240", + "accept": true, + "reason": "Same scheduler file, same issue target, and essentially the same code-path change: removing conditional rounding to deduplicate timesteps." + }, + { + "left": "pull_request:12788", + "right": "pull_request:13239", + "accept": false, + "reason": "They share the scheduler file and issue target, but the available evidence for 12788 is too thin/truncated to conclude it is the same concrete fix rather than a related earlier attempt." + }, + { + "left": "pull_request:12788", + "right": "pull_request:13240", + "accept": false, + "reason": "Same broad area and issue target, but not enough evidence that 12788 fixes the same underlying bug; it should be treated as related, not merged as a duplicate." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The cluster is plausible for 13239 and 13240, but the writeup overstates the evidence for 12788. In the packet, 12788 only clearly shares the same scheduler file and issue target, and its diff preview is truncated; that is not enough to confidently call it the same concrete fix or an earlier broader attempt. The soft-edge verdicts for 12788 should be more conservative (e.g., related/possibly same area), so I would reject this summary as too assertive." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 90, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12865-2", + "nodes": [ + "pull_request:12865", + "pull_request:12866" + ], + "soft_pairs": [ + "pull_request:12865|pull_request:12866" + ], + "prepared_review_unit_hash": "b496d937306ebfff8984152463b574284139ddca08f2332bf56971366458d75a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5259, + "estimated_input_tokens": 1315, + "estimated_eval_tokens": 2886 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5259, + "estimated_input_tokens": 1315, + "estimated_eval_tokens": 2886 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate workflow-maintenance PRs that overlap in files but not in the underlying change. PR 12865 is a broad Node 24 compatibility update for many GitHub Actions; PR 12866 is a narrower upgrade of Docker/typo workflow actions to newer versions.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12865 is the better canonical PR because it is the broader, more representative GitHub Actions compatibility upgrade affecting many workflows, whereas PR 12866 is a smaller follow-on focused on a few specific action version bumps.", + "best_issue_reason": null, + "best_pr_reason": "PR 12865 best captures the main underlying maintenance task in this cluster: mass action-version updates for Node 24 compatibility across workflows.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12865", + "right": "pull_request:12866", + "accept": false, + "reason": "Shared workflow files are not enough here: 12865 updates many actions for Node 24 compatibility, while 12866 separately bumps Docker/build actions and typos workflow versions. They are related maintenance, but not the same concrete change and would not plausibly merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 91, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12869-2", + "nodes": [ + "pull_request:12869", + "pull_request:12870" + ], + "soft_pairs": [ + "pull_request:12869|pull_request:12870" + ], + "prepared_review_unit_hash": "2908506d9b3ba1841d1fe9c1f6e0a79572bdf45683c4c950dccbeb15eec6209c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5650, + "estimated_input_tokens": 1413, + "estimated_eval_tokens": 3082 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5650, + "estimated_input_tokens": 1413, + "estimated_eval_tokens": 3082 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are strongly related and appear to implement the same QwenImage attention-backend split feature, with one being a broader draft and the other a focused core implementation.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 12870 is the best representative: it is the more focused core code change for split attention backends, while 12869 is a broader draft that also adds docs/performance content and wider pipeline touchpoints.", + "best_issue_reason": null, + "best_pr_reason": "PR 12870 best matches the cluster\u2019s core change because it directly implements the backend split in the attention dispatch and QwenImage code paths without the extra documentation-heavy scope of 12869.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12869", + "right": "pull_request:12870", + "accept": true, + "reason": "Both PRs target the same underlying split-attention backend change for QwenImage and share core files; 12869 is broader, but this is plausibly one merged change set." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 92, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12876-2", + "nodes": [ + "pull_request:12876", + "pull_request:13257" + ], + "soft_pairs": [ + "pull_request:12876|pull_request:13257" + ], + "prepared_review_unit_hash": "732acf7eda77575adc423dfb983dcbc51e4960182d74964f4d70aa983519f7ad", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3303, + "estimated_input_tokens": 826, + "estimated_eval_tokens": 1908 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3303, + "estimated_input_tokens": 826, + "estimated_eval_tokens": 1908 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are both small AUTO_TEXT2IMAGE_PIPELINES_MAPPING updates, but they register different pipelines for different models (OvisImage vs PRX), so they are not the same change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: the two pull requests modify the same mapping file but add different pipeline registrations for unrelated models.", + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a strong duplicate representative; they are separate model-specific mapping additions, not one underlying bug or fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12876", + "right": "pull_request:13257", + "accept": false, + "reason": "Different pipeline registrations (OvisImagePipeline vs PRXPipeline) with no shared concrete bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 93, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-12978-2", + "nodes": [ + "pull_request:12978", + "pull_request:13051" + ], + "soft_pairs": [ + "pull_request:12978|pull_request:13051" + ], + "prepared_review_unit_hash": "3dd7d0b3eb1d18264d32db8dbfab12c45cf048b9bf6799270bdaaac5ad7d696a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4563, + "estimated_input_tokens": 1141, + "estimated_eval_tokens": 2538 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4563, + "estimated_input_tokens": 1141, + "estimated_eval_tokens": 2538 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch the modular/Mellon area, but they are not the same underlying change: #12978 is a narrow helper update in `mellon_node_utils.py`, while #13051 is a broader docs-and-integration PR spanning multiple modular pipeline files. The shared filename alone is not enough to merge them as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13051 is the better canonical representative because it is the broader, more complete Mellon modular-diffusers change, covering docs plus code integration across multiple files.", + "best_issue_reason": null, + "best_pr_reason": "PR #13051 best represents the cluster since it captures the main Mellon feature/documentation work rather than only the small utility tweak in #12978.", + "soft_edge_verdicts": [ + { + "left": "pull_request:12978", + "right": "pull_request:13051", + "accept": false, + "reason": "Reject: they overlap in `mellon_node_utils.py`, but #12978 is a small schema/helper change while #13051 is a larger documentation/integration PR. They do not appear to fix the same concrete bug or be mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 94, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13048-2", + "nodes": [ + "pull_request:13048", + "pull_request:13405" + ], + "soft_pairs": [ + "pull_request:13048|pull_request:13405" + ], + "prepared_review_unit_hash": "b96bc58301700ea3d2505150ef1b581650b13e626919aae44916d77c30fd9ed5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4421, + "estimated_input_tokens": 1106, + "estimated_eval_tokens": 2468 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4421, + "estimated_input_tokens": 1106, + "estimated_eval_tokens": 2468 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related only by touching the torchao quantizer codebase, but they address different problems: one removes an obsolete docs section about autoquant, while the other changes runtime handling of TorchAO tensor types in code. They should not be clustered as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "13405 is the more substantive code-path change: it updates torchao tensor-type introspection in the quantizer and includes a test adjustment, whereas 13048 is documentation cleanup with a small related code/doc edit.", + "best_issue_reason": null, + "best_pr_reason": "13405 is the best representative PR for this cluster because it directly fixes a concrete implementation detail in src/diffusers/quantizers/torchao/torchao_quantizer.py; 13048 is mostly docs-only and not the same change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13048", + "right": "pull_request:13405", + "accept": false, + "reason": "Different underlying changes: 13048 removes an autoquant docs section, while 13405 changes quantizer behavior around AffineQuantizedTensor/TorchAOBaseTensor handling. Shared filename alone is not enough to treat them as the same PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 95, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13094-2", + "nodes": [ + "pull_request:13094", + "pull_request:13183" + ], + "soft_pairs": [ + "pull_request:13094|pull_request:13183" + ], + "prepared_review_unit_hash": "f750981785ddaed591804927101ea6d2d226a08954383712796a8a3adeadcdaf", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3680, + "estimated_input_tokens": 920, + "estimated_eval_tokens": 2096 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3680, + "estimated_input_tokens": 920, + "estimated_eval_tokens": 2096 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests address the same Z-Image bug: `do_classifier_free_guidance` should trigger for `guidance_scale > 0`, not `> 1`, in the same pipeline file. They are effectively duplicate fixes of the same code-path issue.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13183 is the stronger canonical PR because it is the merged/closed implementation of the exact same threshold fix in `pipeline_z_image.py` and has the clearer final state.", + "best_issue_reason": null, + "best_pr_reason": "PR 13183 is the best representative PR since it was merged, directly resolves the target issue, and contains the same minimal fix as the other PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13094", + "right": "pull_request:13183", + "accept": true, + "reason": "Same bug, same file, same line-level change (`> 1` to `> 0`) for Z-Image guidance gating; these are duplicate implementations of the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 96, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13102-3", + "nodes": [ + "pull_request:13102", + "pull_request:13128", + "pull_request:13136" + ], + "soft_pairs": [ + "pull_request:13102|pull_request:13136", + "pull_request:13128|pull_request:13136", + "pull_request:13102|pull_request:13128" + ], + "prepared_review_unit_hash": "7919ac1ae48cfb484de2f67f51ea0f1c935933980b77774d0043ddefad67c22c", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7360, + "estimated_input_tokens": 1840, + "estimated_eval_tokens": 3936 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7360, + "estimated_input_tokens": 1840, + "estimated_eval_tokens": 3936 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs target the same file and issue #13077, but they split into two distinct fix directions: #13102 deep-copies modules, #13128 re-instantiates from state_dict, and #13136 keeps shared modules frozen. #13128 remains the best canonical PR because it is the most complete implementation with tests, but #13102 should not be merged as the same change as #13128.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13128 is the best canonical PR: it provides the most complete fix for the weight-sharing bug, uses a robust state_dict-based reconstruction approach, and includes tests.", + "best_issue_reason": null, + "best_pr_reason": "PR #13128 is the strongest standalone PR because it fully addresses the bug with a concrete, tested implementation and is more complete than the simpler deep-copy patch in #13102.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13102", + "right": "pull_request:13128", + "accept": false, + "reason": "They share the same target and file, but the fixes take materially different implementation paths: deep-copying modules versus state_dict-based re-instantiation. That is not conservative enough to treat as the same change." + }, + { + "left": "pull_request:13102", + "right": "pull_request:13136", + "accept": false, + "reason": "They address the same broader bug but with opposite semantics: #13102 copies modules to avoid sharing, while #13136 intentionally shares modules and freezes them. Not the same underlying change." + }, + { + "left": "pull_request:13128", + "right": "pull_request:13136", + "accept": false, + "reason": "Both touch the same code path and issue, but the implementations are different designs and not plausibly mergeable into one PR without choosing one approach over the other." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is mostly grounded, but one soft-edge verdict is too strong. PR #13102 and #13128 do share the issue target and file, but the packet only shows soft similarity; their fixes are materially different implementation paths (deep-copying modules vs state_dict-based re-instantiation). That does not clearly look mergeable into a single PR without choosing one approach, so accepting that pair is not conservative enough. The other two negative verdicts are fine." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 97, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13108-2", + "nodes": [ + "pull_request:13108", + "pull_request:13125" + ], + "soft_pairs": [ + "pull_request:13108|pull_request:13125" + ], + "prepared_review_unit_hash": "b462529f9a7f18530752d5788489633245cffc4a4fa7243a7e2e5da8493f05b2", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4296, + "estimated_input_tokens": 1074, + "estimated_eval_tokens": 2404 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4296, + "estimated_input_tokens": 1074, + "estimated_eval_tokens": 2404 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two open PRs apply the same scheduling-pattern fix to different scheduler implementations, but they are not duplicates of the same concrete change.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13125 is the better representative of the cluster because it has broader scope (two scheduler files) and a clearer, more explicit fix for the timestep lookup logic.", + "best_issue_reason": null, + "best_pr_reason": "PR 13125 is the strongest single PR here: it generalizes the previous-timestep fix across CogVideoX scheduler code paths and is more self-contained than the single-file DDIM patch.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13108", + "right": "pull_request:13125", + "accept": false, + "reason": "Both PRs fix a similar prev_timestep calculation pattern, but they target different scheduler classes and different code paths. They are related fixes, not the same underlying change that could plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 98, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13118-3", + "nodes": [ + "pull_request:13118", + "pull_request:13188", + "pull_request:13189" + ], + "soft_pairs": [ + "pull_request:13118|pull_request:13188", + "pull_request:13118|pull_request:13189", + "pull_request:13188|pull_request:13189" + ], + "prepared_review_unit_hash": "013514ac4172069ffb140e210b516b97a30bdb8e979ffcb260dc7578dface92c", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7235, + "estimated_input_tokens": 1809, + "estimated_eval_tokens": 3874 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7235, + "estimated_input_tokens": 1809, + "estimated_eval_tokens": 3874 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs cluster around Kohya Flux LoRA loading fixes, but they split into two distinct bug classes: Flux.1 TE-prefix handling and Flux.2/Musubi tuner handling. The only plausible duplicate/overlap is between the broader Flux.2 fix PR and the Musubi tuner Flux.2 PR; the Flux.1 TE-prefix PR is separate.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13118 is the broadest representative of the Flux LoRA loading work and already includes the Flux.2-related conversion/pipeline changes plus the Flux.1 TE-prefix fix. It has the most complete discussion footprint and best captures the shared code-path work in this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR 13118 is the strongest global representative because it covers the most substantial fix set, including the Flux.2 loading path that overlaps with 13189, while also resolving the Flux.1 TE-prefix case. It is the most complete candidate for the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13118", + "right": "pull_request:13188", + "accept": false, + "reason": "Different underlying bug: 13118 targets Flux.2-dev LoRA loading plus broader Flux handling, while 13188 is specifically about Flux.1-dev LoRAs with the lora_te1_ prefix. Same file, but not the same fix." + }, + { + "left": "pull_request:13118", + "right": "pull_request:13189", + "accept": true, + "reason": "Both address the same Flux.2 LoRA loading code path in Kohya conversion/pipeline logic. 13189 appears to be a narrower subset of the Flux.2 fix already present in 13118, so they could plausibly be merged into one PR." + }, + { + "left": "pull_request:13188", + "right": "pull_request:13189", + "accept": false, + "reason": "These are separate issues: 13188 handles Flux.1 TE-prefix parsing, while 13189 handles Flux.2/Musubi tuner loading. Shared filename alone is not enough to treat them as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 99, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13182-2", + "nodes": [ + "pull_request:13182", + "pull_request:13457" + ], + "soft_pairs": [ + "pull_request:13182|pull_request:13457" + ], + "prepared_review_unit_hash": "ccffb500636e5030c41b0c453647a4047e7038b9f539d03a573ea8e9265b7267", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4457, + "estimated_input_tokens": 1115, + "estimated_eval_tokens": 2486 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4457, + "estimated_input_tokens": 1115, + "estimated_eval_tokens": 2486 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are not duplicates: one fixes attention backend LSE broadcasting in core dispatch code, while the other patches a TPU/XLA example by disabling a Flux pipeline optimization and adding a step callback.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13182 is the better canonical PR because it addresses a concrete core runtime bug in attention dispatch with a focused fix and tests, rather than an example-only TPU workaround.", + "best_issue_reason": null, + "best_pr_reason": "PR #13182 is the strongest representative of the cluster if one must be chosen: it targets a specific code-path defect in the library itself and is more broadly applicable than the XLA example fix in #13457.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13182", + "right": "pull_request:13457", + "accept": false, + "reason": "Different subsystems and failure modes: #13182 fixes LSE shape handling in attention backends, while #13457 works around XLA device placement/timestep creation in a Flux example. They are not the same underlying bug or mergeable change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 100, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13213-3", + "nodes": [ + "pull_request:13213", + "pull_request:13214", + "pull_request:13222" + ], + "soft_pairs": [ + "pull_request:13213|pull_request:13214", + "pull_request:13213|pull_request:13222", + "pull_request:13214|pull_request:13222" + ], + "prepared_review_unit_hash": "7ab3f441fe6c9886af7b2d403b7eb53cf4f368b9668324b9402a417dc84e3c83", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6369, + "estimated_input_tokens": 1593, + "estimated_eval_tokens": 3442 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6369, + "estimated_input_tokens": 1593, + "estimated_eval_tokens": 3442 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The cluster contains three distinct Helios PRs: one docs link fix, one runtime code fix, and one docs optimization update. They are related by topic but do not represent the same underlying change, so none of the soft duplicate links should be accepted.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13222 is the closest thing to a cluster representative because it is the broadest Helios documentation update and touches the shared pipeline docs file.", + "best_issue_reason": null, + "best_pr_reason": "PR 13222 is the best standalone representative for the cluster theme: it is self-contained, documentation-focused, and overlaps the shared Helios docs path more than the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13213", + "right": "pull_request:13214", + "accept": false, + "reason": "Docs-only paper-link fix and a code-path float-cast fix are unrelated changes; they would not plausibly be merged as one PR." + }, + { + "left": "pull_request:13213", + "right": "pull_request:13222", + "accept": false, + "reason": "Both touch Helios docs, but one fixes a paper link while the other changes optimization guidance and example settings; different underlying edits." + }, + { + "left": "pull_request:13214", + "right": "pull_request:13222", + "accept": false, + "reason": "A runtime tensor type fix and a documentation optimization update are not the same bug/change and should remain separate." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 101, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13230-2", + "nodes": [ + "pull_request:13230", + "pull_request:13233" + ], + "soft_pairs": [ + "pull_request:13230|pull_request:13233" + ], + "prepared_review_unit_hash": "73ca127fa26cad86f61cd7cad333160d94c497a7903f01c564c02fe7fb47e9be", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2480, + "estimated_input_tokens": 620, + "estimated_eval_tokens": 1496 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2480, + "estimated_input_tokens": 620, + "estimated_eval_tokens": 1496 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs address the same GitHub Code Scanning alert class by adding `permissions: contents: read` to workflow files, but they touch different workflows and are separate fixes rather than one mergeable change.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13233 is the better representative because its title is more generic and it directly updates the main `pr_tests.yml` workflow, making it the cleaner exemplar for this permission-fix pattern.", + "best_issue_reason": null, + "best_pr_reason": "PR #13233 is slightly better as a cluster representative; it is the clearer, broader instance of the workflow-permissions fix, while #13230 is the GPU-specific variant.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13230", + "right": "pull_request:13233", + "accept": false, + "reason": "They fix the same broad alert type, but on different workflow files (`pr_tests_gpu.yml` vs `pr_tests.yml`). This is not the same concrete code-path problem and would not plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 102, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13250-2", + "nodes": [ + "pull_request:13250", + "pull_request:13260" + ], + "soft_pairs": [ + "pull_request:13250|pull_request:13260" + ], + "prepared_review_unit_hash": "a25c6036e163c2cc5a13732c6c36aefebb89c59bd5126f0ccebb0a9f2d549fe5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4040, + "estimated_input_tokens": 1010, + "estimated_eval_tokens": 2276 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4040, + "estimated_input_tokens": 1010, + "estimated_eval_tokens": 2276 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two distinct pull requests touch the same helper file, but they address different LoRA conversion bugs: one adds LoKr/Z-image key support, the other makes alpha keys optional. They are not duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13250 is the stronger representative: it has a clearer, self-contained feature/fix scope, explicit issue linkage, and a concrete LoKr/Z-image conversion path change.", + "best_issue_reason": null, + "best_pr_reason": "PR #13250 best represents the cluster because it fixes a more specific and substantial conversion bug with explicit targeting, while #13260 is a separate alpha-key fallback tweak.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13250", + "right": "pull_request:13260", + "accept": false, + "reason": "Both edit lora_conversion_utils.py, but they fix different problems: LoKr-format handling vs missing alpha-key fallback. They are not the same underlying bug and would not naturally merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 103, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13289-2", + "nodes": [ + "pull_request:13289", + "pull_request:13485" + ], + "soft_pairs": [ + "pull_request:13289|pull_request:13485" + ], + "prepared_review_unit_hash": "f6e6d277457d07f4911ec8a718402a5763f6335d51aca1aa17d2bd832917e14d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6150, + "estimated_input_tokens": 1538, + "estimated_eval_tokens": 3332 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6150, + "estimated_input_tokens": 1538, + "estimated_eval_tokens": 3332 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related Neuron-device PRs with substantial file overlap, but they address different changes: one adds AWS Neuron support broadly, while the other targets torch.compile compatibility on Neuron. They should not be clustered as duplicates/near-duplicates.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13289 is the broader, earlier Neuron enablement change and is the better representative of the device-support work in this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #13289 is the strongest single representative because it covers the main AWS Neuron support effort; PR #13485 is a narrower follow-up focused on compile compatibility.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13289", + "right": "pull_request:13485", + "accept": false, + "reason": "They share a device-integration codebase, but the titles and scope differ: adding AWS Neuron as an officially supported device vs enabling torch.compile compatibility on Neuron. That is not the same concrete fix/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 104, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13307-3", + "nodes": [ + "pull_request:13307", + "pull_request:13396", + "pull_request:13415" + ], + "soft_pairs": [ + "pull_request:13307|pull_request:13396", + "pull_request:13307|pull_request:13415", + "pull_request:13396|pull_request:13415" + ], + "prepared_review_unit_hash": "ff63e04a78dfe8512cdbf072af7114e332ee53261bec3230448b8276fdd60e6a", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7216, + "estimated_input_tokens": 1804, + "estimated_eval_tokens": 3864 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7216, + "estimated_input_tokens": 1804, + "estimated_eval_tokens": 3864 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs address a similar prior-preservation prompt-repeat bug in DreamBooth examples, but only the Flux2 PRs share the same concrete code path; the Qwen-Image PR is a separate implementation and should not be merged into that duplicate set.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:13415 is the best canonical PR: it is merged, directly fixes the Flux2 DreamBooth repeat bug, and is a clean representative of the concrete code-path change shared by the Flux2 variants.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:13415 is the strongest cluster representative because it is merged and fixes the same Flux2 repeat-count bug with the same mechanism as the other Flux2 PR, while avoiding the separate Qwen-Image code path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13307", + "right": "pull_request:13396", + "accept": false, + "reason": "Same general prior-preservation theme, but different scripts/model code paths (Flux2 vs Qwen-Image). They are not the same concrete bug fix and would not plausibly be one PR." + }, + { + "left": "pull_request:13307", + "right": "pull_request:13415", + "accept": true, + "reason": "Both fix the Flux2 DreamBooth prior-preservation repeat-count mismatch in the same code path, with nearly identical logic and overlapping files. They look like duplicate fixes for the same underlying bug." + }, + { + "left": "pull_request:13396", + "right": "pull_request:13415", + "accept": false, + "reason": "These target different example scripts and different prompt-embedding handling details. Same broad bug class, but not the same concrete change or mergeable into one PR as duplicates." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the cross-model pair. The Flux2 pair is plausibly the same bugfix in the same code path, while the Qwen-Image PR is correctly treated as a separate implementation rather than merged into the duplicate set." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 105, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1334-2", + "nodes": [ + "pull_request:1334", + "pull_request:1426" + ], + "soft_pairs": [ + "pull_request:1334|pull_request:1426" + ], + "prepared_review_unit_hash": "02f12c7b984493089235690154053c2deac2dba99928dd7379050e94ad88561c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6506, + "estimated_input_tokens": 1627, + "estimated_eval_tokens": 3510 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6506, + "estimated_input_tokens": 1627, + "estimated_eval_tokens": 3510 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both artifacts are the same AudioDiffusion/LatentAudioDiffusion feature PR, with PR #1426 appearing to be the merged follow-up/finalized version of #1334.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1426 is the better canonical PR because it is the merged, final version of the same change set and references #1334 in its title.", + "best_issue_reason": null, + "best_pr_reason": "PR #1426 best represents the cluster because it was actually merged and contains the completed implementation for the same feature.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1334", + "right": "pull_request:1426", + "accept": true, + "reason": "Nearly identical file set and content, same feature scope, and #1426 explicitly references #1334, indicating the same underlying change could be consolidated into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 106, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13354-2", + "nodes": [ + "pull_request:13354", + "pull_request:13374" + ], + "soft_pairs": [ + "pull_request:13354|pull_request:13374" + ], + "prepared_review_unit_hash": "accbd0f4b78ffafe0ed104fd593cbcd8d6ed364198e84542ed855866ffebfc84", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4168, + "estimated_input_tokens": 1042, + "estimated_eval_tokens": 2340 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4168, + "estimated_input_tokens": 1042, + "estimated_eval_tokens": 2340 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related workflow-maintenance PRs on the same file, but they address different changes and are not duplicates of the same underlying fix.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13374 is the better anchor because it is the merged workflow update and includes the broader behavior change around checkout/sanitization and diff retrieval.", + "best_issue_reason": null, + "best_pr_reason": "PR 13374 is the strongest representative of the cluster since it is merged and more complete; 13354 is a separate earlier edit to the same workflow file.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13354", + "right": "pull_request:13374", + "accept": false, + "reason": "They both edit .github/workflows/claude_review.yml, but the changes are different in kind: 13354 updates permissions, action pinning, and prompt text, while 13374 changes checkout behavior, restores base config, and adds PR diff extraction. Same file/subsystem is not enough to treat them as the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 107, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13378-2", + "nodes": [ + "pull_request:13378", + "pull_request:13389" + ], + "soft_pairs": [ + "pull_request:13378|pull_request:13389" + ], + "prepared_review_unit_hash": "5fa8cfe709386c7d890e6b1a39ce9134999dca34e49284bef3046f0f28001e44", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6034, + "estimated_input_tokens": 1509, + "estimated_eval_tokens": 3274 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6034, + "estimated_input_tokens": 1509, + "estimated_eval_tokens": 3274 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate model-specific modular pipeline additions that share common framework files but do not fix the same underlying bug or implement the same feature. They should not be treated as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "PR #13389 is the more central representative of the cluster: it has broader inbound reference activity and adds a distinct modular pipeline integration, making it the stronger keep/representative candidate among the two unrelated PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13378", + "right": "pull_request:13389", + "accept": false, + "reason": "Reject: both PRs add different model-specific modular pipelines (LTX Video vs HunyuanVideo 1.5). Shared framework files are expected and do not indicate the same concrete change or code-path fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 108, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13379-2", + "nodes": [ + "pull_request:13379", + "pull_request:13449" + ], + "soft_pairs": [ + "pull_request:13379|pull_request:13449" + ], + "prepared_review_unit_hash": "01d59303cce18c62e3d0de4e1ca916a76e9f15e530ca5308130c9f39b4e83b4b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6683, + "estimated_input_tokens": 1671, + "estimated_eval_tokens": 3598 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6683, + "estimated_input_tokens": 1671, + "estimated_eval_tokens": 3598 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs share the same QwenImage area and issue target, but they fix different code paths: one makes encoder inputs/masks optional-safe, while the other changes CFG activation to treat precomputed negative_prompt_embeds as sufficient. They are related, not duplicates.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13449 is the cleaner representative for the CFG regression described by the shared issue target: it directly fixes the pipeline logic that was disabling CFG when only negative_prompt_embeds were provided.", + "best_issue_reason": null, + "best_pr_reason": "PR #13449 best matches the user-facing bug and has the most direct, minimal fix across the QwenImage pipelines; PR #13379 is a broader encoder/input-handling change and not the same concrete bug fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13379", + "right": "pull_request:13449", + "accept": false, + "reason": "Different underlying fixes: #13379 adjusts how Qwen encoder inputs and masks are passed, while #13449 changes the has_neg_prompt check so CFG works with precomputed negative_prompt_embeds. They touch related code but are not the same change and would not naturally merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 109, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13402-6", + "nodes": [ + "pull_request:13402", + "pull_request:13403", + "pull_request:13407", + "pull_request:13408", + "pull_request:13413", + "pull_request:13414" + ], + "soft_pairs": [ + "pull_request:13402|pull_request:13408", + "pull_request:13402|pull_request:13414", + "pull_request:13402|pull_request:13403", + "pull_request:13402|pull_request:13413", + "pull_request:13403|pull_request:13407", + "pull_request:13408|pull_request:13414", + "pull_request:13408|pull_request:13413", + "pull_request:13413|pull_request:13414" + ], + "prepared_review_unit_hash": "336fc555d4a290eda2123203550d135f28d78f2650cb9389645fc1ba9f0ae61b", + "component_budget": { + "node_count": 6, + "item_count": 6, + "soft_pair_count": 8, + "serialized_chars": 18855, + "estimated_input_tokens": 4714, + "estimated_eval_tokens": 9684 + }, + "budget": { + "node_count": 6, + "item_count": 6, + "soft_pair_count": 8, + "serialized_chars": 18855, + "estimated_input_tokens": 4714, + "estimated_eval_tokens": 9684 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are all related to small text-only cleanup, but they address different concrete strings and code paths, so they should not be de-duplicated together.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13408 is the broadest and most representative cleanup PR in this cluster, spanning multiple docstring/error-message fixes across model and pipeline files.", + "best_issue_reason": null, + "best_pr_reason": "PR 13408 is a good global representative because it covers many similar grammar/docstring edits across several modules, making it the most central example of this cleanup theme.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13402", + "right": "pull_request:13408", + "accept": false, + "reason": "Both are text cleanup PRs, but they fix different strings in different files; same style is not enough to treat them as the same change." + }, + { + "left": "pull_request:13402", + "right": "pull_request:13414", + "accept": false, + "reason": "Overlapping grammar/docstring cleanup, but the edits are in different modules and correct different messages." + }, + { + "left": "pull_request:13402", + "right": "pull_request:13403", + "accept": false, + "reason": "One fixes duplicate words in docstrings; the other fixes missing f-string prefixes in logs. Different bug classes." + }, + { + "left": "pull_request:13402", + "right": "pull_request:13413", + "accept": false, + "reason": "These are separate wording fixes with different targets and no shared concrete bug or code path." + }, + { + "left": "pull_request:13403", + "right": "pull_request:13407", + "accept": false, + "reason": "Both involve f-strings, but they touch different pipeline/scheduler locations and are distinct log-message fixes." + }, + { + "left": "pull_request:13408", + "right": "pull_request:13414", + "accept": false, + "reason": "Shared cleanup theme and one shared filename do not make these the same change; they correct different text in different spots." + }, + { + "left": "pull_request:13408", + "right": "pull_request:13413", + "accept": false, + "reason": "Different grammatical fixes in different model docstrings; not the same underlying issue." + }, + { + "left": "pull_request:13413", + "right": "pull_request:13414", + "accept": false, + "reason": "Both are grammar-only fixes, but they target different wording problems and should remain separate PRs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 110, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13412-2", + "nodes": [ + "pull_request:13412", + "pull_request:13466" + ], + "soft_pairs": [ + "pull_request:13412|pull_request:13466" + ], + "prepared_review_unit_hash": "37eb644352ed066b7899ed7c770118fc782f2ef3129fd9ae836b68783d70b2ea", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4600, + "estimated_input_tokens": 1150, + "estimated_eval_tokens": 2556 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4600, + "estimated_input_tokens": 1150, + "estimated_eval_tokens": 2556 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are closely related scheduler fixes for the same LTXEulerAncestralRFScheduler sigma monotonicity path, and could plausibly be merged together.", + "confidence": 0.83, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13466 is the tighter code-path fix: it directly enforces monotonicity for explicit sigma schedules in `set_timesteps`, which is the core bug both PRs address. PR 13412 is broader and includes docs/tests scaffolding.", + "best_issue_reason": null, + "best_pr_reason": "PR 13466 is the best representative of the underlying bug fix because it is focused on the concrete validation in the scheduler implementation rather than the broader documentation/test update in 13412.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13412", + "right": "pull_request:13466", + "accept": true, + "reason": "Both PRs target the same LTXEulerAncestralRFScheduler monotonicity validation issue in the same file and same issue target; 13466 is a narrower implementation of the same fix." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The pairing is grounded in the packet: both PRs target issue 13411, touch the same scheduler file, and the diffs/titles indicate the same monotonicity-validation bugfix with 13412 adding broader docs/tests around it. The summary and soft-edge verdict stay conservative and do not overclaim beyond the evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 111, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13417-2", + "nodes": [ + "pull_request:13417", + "pull_request:13441" + ], + "soft_pairs": [ + "pull_request:13417|pull_request:13441" + ], + "prepared_review_unit_hash": "44b323fcc5eac212b89652f0f80dfdcfa617bbed6e009ce72975eec3b6da0597", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4474, + "estimated_input_tokens": 1119, + "estimated_eval_tokens": 2494 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4474, + "estimated_input_tokens": 1119, + "estimated_eval_tokens": 2494 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are not duplicates: one fixes VAE offload/device placement in several DreamBooth LoRA scripts, the other fixes prior-preservation prompt/image batch repetition ordering in Qwen Image DreamBooth.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR cleanly represents a duplicate cluster here. If forced to pick a representative, PR 13417 is broader and spans multiple DreamBooth scripts, but it is not the same bug as 13441.", + "best_issue_reason": null, + "best_pr_reason": "PR 13417 is the better cluster anchor because it covers a wider set of affected DreamBooth scripts and a concrete device-mismatch fix; PR 13441 is a separate ordering/repeat bug in one script.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13417", + "right": "pull_request:13441", + "accept": false, + "reason": "Different underlying defects and code paths: 13417 moves VAE encode input to the accelerator device during offload, while 13441 changes how prior-preservation prompt embeddings/masks are repeated. They are both DreamBooth-related but not mergeable as one fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 112, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13420-2", + "nodes": [ + "pull_request:13420", + "pull_request:13422" + ], + "soft_pairs": [ + "pull_request:13420|pull_request:13422" + ], + "prepared_review_unit_hash": "97d5ffb46e72430e4267dcad3d2b9a8040e471a0142b48d2da56aca64d3e34a8", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4231, + "estimated_input_tokens": 1058, + "estimated_eval_tokens": 2372 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4231, + "estimated_input_tokens": 1058, + "estimated_eval_tokens": 2372 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate feature PRs adding negative_prompt support to different pipelines (Flux2Klein vs GLMImage). They are superficially similar but do not look like the same underlying change set.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical PR: the two PRs touch different pipelines, different files, and different issue targets, so they represent separate changes rather than duplicates.", + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a good global representative of the other; each is pipeline-specific and should be triaged independently.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13420", + "right": "pull_request:13422", + "accept": false, + "reason": "Both add negative_prompt support, but to different code paths and different pipelines (Flux2Klein vs GLMImage). They are similar in theme, not the same concrete bug/change, so they should not be merged as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 113, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13456-2", + "nodes": [ + "pull_request:13456", + "pull_request:13464" + ], + "soft_pairs": [ + "pull_request:13456|pull_request:13464" + ], + "prepared_review_unit_hash": "5950003273e3813ad760a1479a04e247b24233b96ba2b0a24f6b473bdd56f061", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5026, + "estimated_input_tokens": 1257, + "estimated_eval_tokens": 2770 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5026, + "estimated_input_tokens": 1257, + "estimated_eval_tokens": 2770 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are not duplicates: PR 13456 is a broad ERNIE-Image feature/addition with docs and new modules, while PR 13464 is a small follow-up dtype fix in the same transformer file for gguf/GPU backend behavior.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "13464 is the more focused representative of the actual code-path bug: it makes a narrow dtype correction in `transformer_ernie_image.py` without the unrelated feature/docs bulk.", + "best_issue_reason": null, + "best_pr_reason": "13464 best matches a concrete bugfix PR; 13456 is primarily a larger feature/enablement PR that only happens to share the same transformer file.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13456", + "right": "pull_request:13464", + "accept": false, + "reason": "Shared file and dtype theme, but the underlying changes differ: 13456 is a broad ERNIE-Image addition with docs/new components, whereas 13464 is a targeted backend dtype fix in the transformer forward/rope path." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 114, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13467-2", + "nodes": [ + "pull_request:13467", + "pull_request:13497" + ], + "soft_pairs": [ + "pull_request:13467|pull_request:13497" + ], + "prepared_review_unit_hash": "b6d8b81360a1d94e0b829216b80a16f020c29313972c1d6ca366883d198d9e30", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4105, + "estimated_input_tokens": 1027, + "estimated_eval_tokens": 2310 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4105, + "estimated_input_tokens": 1027, + "estimated_eval_tokens": 2310 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests target the same `pyramid_attention_broadcast.py` forward-path behavior: removing the iteration-0 recompute guard and fixing cache invalidation when outside the timestep range. They are duplicates for triage purposes.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13497 is the cleaner, more explicit version of the same fix in the same code path, with the cache invalidation change stated directly.", + "best_issue_reason": null, + "best_pr_reason": "PR #13497 is the best representative of the cluster because it focuses on the exact stale-cache/iteration-0 behavior and has the clearest patch intent.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13467", + "right": "pull_request:13497", + "accept": true, + "reason": "Same file, same `new_forward` control flow, same iteration-0 guard removal, and same cache-staleness fix; these are the same underlying change and could be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 115, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13468-2", + "nodes": [ + "pull_request:13468", + "pull_request:13471" + ], + "soft_pairs": [ + "pull_request:13468|pull_request:13471" + ], + "prepared_review_unit_hash": "947f7d2d4b03878d5c4391d452029ef317f4f2e553245a12a92a5cd597f9aa0b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4152, + "estimated_input_tokens": 1038, + "estimated_eval_tokens": 2332 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4152, + "estimated_input_tokens": 1038, + "estimated_eval_tokens": 2332 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch the same profiling helper and reference the same issue, but they implement different fixes: 13468 is a broad class-level patch, while 13471 is a narrower LTX2-only instance-isolation fix. That makes them related, but not a confident duplicate or mergeable pair.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 13471 is the merged and more targeted fix, directly scoped to the LTX2 profiling instance-isolation bug.", + "best_issue_reason": null, + "best_pr_reason": "PR 13471 is the best representative because it is already merged and its scoped change most cleanly matches the concrete bug description.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13468", + "right": "pull_request:13471", + "accept": false, + "reason": "Shared file and issue target indicate a soft relationship, but the patches are not the same change: 13468 applies a broad class-level fix, while 13471 conditionally applies an LTX2-only instance-level fix. These look like alternative implementations rather than a single mergeable duplicate." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is a bit too strong for the packet. The two PRs share the same file and issue target, but the evidence only supports a soft relationship, not a confident duplicate/mergeable-pair claim. PR 13468 applies a broad class-level fix, while PR 13471 gates a different instance-level fix to LTX2 pipelines only; that makes them alternative implementations rather than clearly mergeable changes for one PR. The soft-edge verdict should be more conservative than \"accept\"." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 116, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13476-2", + "nodes": [ + "pull_request:13476", + "pull_request:13493" + ], + "soft_pairs": [ + "pull_request:13476|pull_request:13493" + ], + "prepared_review_unit_hash": "4894dc589ffd235354406198752fee8d8012738017c48a90eaa5b716e43ba8bf", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2971, + "estimated_input_tokens": 743, + "estimated_eval_tokens": 1742 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2971, + "estimated_input_tokens": 743, + "estimated_eval_tokens": 1742 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two maintenance PRs both bump the doc-builder SHA, but they update different workflows and different doc-builder entrypoints, so they are related but not duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #13476 is the cleaner canonical representative: it is merged, small, and directly updates the PR documentation upload workflow.", + "best_issue_reason": null, + "best_pr_reason": "PR #13476 is the best overall representative because it is already merged and fully resolved, while #13493 is a separate draft change for the main documentation build workflow.", + "soft_edge_verdicts": [ + { + "left": "pull_request:13476", + "right": "pull_request:13493", + "accept": false, + "reason": "Both bump the same doc-builder SHA, but they target different workflow files and different reusable workflows (PR docs upload vs main docs build), so they are not the same concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 117, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-157-2", + "nodes": [ + "pull_request:1361", + "pull_request:157" + ], + "soft_pairs": [ + "pull_request:1361|pull_request:157" + ], + "prepared_review_unit_hash": "38354450f6336f323860fd95a93f0c235514a75e7919de652ad013f833722846", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5769, + "estimated_input_tokens": 1443, + "estimated_eval_tokens": 3142 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5769, + "estimated_input_tokens": 1443, + "estimated_eval_tokens": 3142 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two unrelated pull requests: one standardizes `image` kwargs across diffusion pipelines, the other updates tensor creation sites to use `device=` when available. They do not describe the same bug or mergeable change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1361 is the better canonical PR because it is merged, has an explicit issue target, and the change is a cohesive API-wide rename from `init_image` to `image`.", + "best_issue_reason": null, + "best_pr_reason": "PR #1361 is the strongest representative of the cluster since it is the only merged, clearly scoped change with direct issue linkage; PR #157 is a separate cross-cutting device-argument cleanup.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1361", + "right": "pull_request:157", + "accept": false, + "reason": "Different underlying changes: #1361 is an API/documentation keyword migration for image inputs, while #157 is a device-argument performance/compatibility cleanup across unrelated code paths. They are not mergeable into one concrete fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 118, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1383-3", + "nodes": [ + "pull_request:1383", + "pull_request:1637", + "pull_request:3274" + ], + "soft_pairs": [ + "pull_request:1383|pull_request:1637", + "pull_request:1383|pull_request:3274", + "pull_request:1637|pull_request:3274" + ], + "prepared_review_unit_hash": "8d24bdf19bf1b15805d529332c77ddf1637b831ba988044a9a62c2f55ccb0aba", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7816, + "estimated_input_tokens": 1954, + "estimated_eval_tokens": 4164 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7816, + "estimated_input_tokens": 1954, + "estimated_eval_tokens": 4164 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three pull requests are version-bump release PRs, but they target different releases and include different substantive changes, so they are not duplicates of the same underlying change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: these are separate patch-release PRs for different versions (0.8.1, 0.10.1, 0.16.1) with distinct accompanying code/doc changes.", + "best_issue_reason": null, + "best_pr_reason": "PR 1637 is the strongest standalone representative only because it is the only merged patch-release PR here, but it is not a duplicate of the other two and should not be treated as canonical for the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1383", + "right": "pull_request:1637", + "accept": false, + "reason": "Both are release/version bumps, but they are for different releases and PR 1637 includes modeling/test changes not present in 1383; shared filenames alone are not enough to make them the same change." + }, + { + "left": "pull_request:1383", + "right": "pull_request:3274", + "accept": false, + "reason": "These are different patch-release PRs for different versions, and 3274 also changes IF docs and pipeline code; they are not the same concrete fix or release change." + }, + { + "left": "pull_request:1637", + "right": "pull_request:3274", + "accept": false, + "reason": "Although both update package versions, the substantive edits are unrelated: 1637 adds gradient-checkpointing-related model/test work, while 3274 focuses on DeepFloyd IF docs and pipeline behavior." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 119, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1446-3", + "nodes": [ + "pull_request:1446", + "pull_request:1653", + "pull_request:2298" + ], + "soft_pairs": [ + "pull_request:1446|pull_request:1653", + "pull_request:1653|pull_request:2298" + ], + "prepared_review_unit_hash": "80848fa741d84796bcf65694831cb3e17c284f60a006fcc01428e48a08ce625e", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8361, + "estimated_input_tokens": 2091, + "estimated_eval_tokens": 4438 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8361, + "estimated_input_tokens": 2091, + "estimated_eval_tokens": 4438 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs are separate pipeline cleanup/fix changes, not duplicates: one removes stray kwargs, one fixes img2img timestep offset handling, and one removes an unused latent-upscale noise parameter.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1653 is the clearest representative because it makes a concrete functional fix in the shared img2img timestep code path, while the other PRs are unrelated API/parameter cleanups.", + "best_issue_reason": null, + "best_pr_reason": "PR 1653 is the best single representative of the cluster: it addresses an actual runtime behavior bug across multiple img2img-style pipelines rather than only removing unused arguments.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1446", + "right": "pull_request:1653", + "accept": false, + "reason": "Different changes: 1446 removes passthrough kwargs and speeds up tests, while 1653 changes timestep/offset logic in img2img pipelines. They do not fix the same underlying bug." + }, + { + "left": "pull_request:1653", + "right": "pull_request:2298", + "accept": false, + "reason": "Different code paths and symptoms: 1653 fixes img2img timestep offset computation, while 2298 removes an unused noise_level parameter from latent upscaling. Not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 120, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1557-2", + "nodes": [ + "pull_request:1557", + "pull_request:1799" + ], + "soft_pairs": [ + "pull_request:1557|pull_request:1799" + ], + "prepared_review_unit_hash": "93278210b9916602fafbcac32767abfa49085e84f3f3eb29a9dbf1b27e6fce72", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3708, + "estimated_input_tokens": 927, + "estimated_eval_tokens": 2110 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3708, + "estimated_input_tokens": 927, + "estimated_eval_tokens": 2110 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate bug-fix PRs in the same example script, not duplicates: one removes an obsolete DDPMScheduler tensor_format argument, the other reorders ORTModule wrapping and changes a model call to return_dict=False.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:1557", + "right": "pull_request:1799", + "accept": false, + "reason": "They share a file and a vague theme, but fix different concrete problems in different code paths: PR 1557 updates scheduler construction, while PR 1799 changes model wrapping order and output handling. They would not plausibly be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 121, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1567-2", + "nodes": [ + "pull_request:1567", + "pull_request:1618" + ], + "soft_pairs": [ + "pull_request:1567|pull_request:1618" + ], + "prepared_review_unit_hash": "aa4e23a542efb8e550bc62dd407cd5070a8573d299bb9c453dd52869407e8077", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4314, + "estimated_input_tokens": 1079, + "estimated_eval_tokens": 2414 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4314, + "estimated_input_tokens": 1079, + "estimated_eval_tokens": 2414 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests address the same DreamBooth checkpoint-saving crash caused by losing the fp32 wrapper during unwrap_model, and they patch the same file with essentially the same fix. PR #1618 is the better canonical PR because it is the merged, later version of the same change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1618 is the strongest canonical PR: it is merged, has the same title and target file as the earlier PR, and appears to be the finalized version of the same fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #1618 is the best representative because it was merged and contains the same concrete code-path fix for preserving the fp32 wrapper during DreamBooth checkpoint saves.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1567", + "right": "pull_request:1618", + "accept": true, + "reason": "Same underlying bug and same code path: both modify `examples/dreambooth/train_dreambooth.py` to keep the fp32 wrapper when saving checkpoints to avoid the fp16 crash. This is a true duplicate PR pair." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 122, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1691-2", + "nodes": [ + "pull_request:1691", + "pull_request:1888" + ], + "soft_pairs": [ + "pull_request:1691|pull_request:1888" + ], + "prepared_review_unit_hash": "77bd2feb9939488664ffe2a1b18e59deda376c6974a9556a27fa983636b4f71c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4391, + "estimated_input_tokens": 1098, + "estimated_eval_tokens": 2452 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4391, + "estimated_input_tokens": 1098, + "estimated_eval_tokens": 2452 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are not duplicates: PR #1691 changes training-step/max-epoch scheduling logic in one text-to-image script, while PR #1888 updates `report_to` help text across several training scripts. They share one filename but address different code paths and change types.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1888 is the better canonical representative for the cluster because it is merged and covers the broader, user-facing help-text cleanup across multiple scripts.", + "best_issue_reason": null, + "best_pr_reason": "PR #1888 is the stronger overall representative: it is merged, touches multiple related training scripts, and its change is self-contained and well-scoped.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1691", + "right": "pull_request:1888", + "accept": false, + "reason": "Different underlying changes: #1691 fixes training-step/epoch calculation in one script, while #1888 edits `report_to` argparse help text across scripts. Shared file alone is not enough to treat them as the same bug/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 123, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1694-3", + "nodes": [ + "pull_request:1694", + "pull_request:1775", + "pull_request:2033" + ], + "soft_pairs": [ + "pull_request:1694|pull_request:1775", + "pull_request:1694|pull_request:2033", + "pull_request:1775|pull_request:2033" + ], + "prepared_review_unit_hash": "6247552883bff0b647b438eb16cb45ebcfb68d513b3032c51cb02279c94d006b", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7060, + "estimated_input_tokens": 1765, + "estimated_eval_tokens": 3786 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7060, + "estimated_input_tokens": 1765, + "estimated_eval_tokens": 3786 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three separate iterative PRs updating the same example script, but they make different changes (manual code sync, adding a logger argument, and smaller cleanup/scheduler edits). They are related, but not duplicates of the same concrete change.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1694 is the best canonical representative because it is the largest foundational update to the script and appears to be the base that later PRs build on.", + "best_issue_reason": null, + "best_pr_reason": "PR 1694 is the strongest overall representative of the cluster: it has the broadest functional update and is more substantial than the later follow-up edits.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1694", + "right": "pull_request:1775", + "accept": false, + "reason": "Same file, but different changes: 1694 is a larger manual sync with helper logic, while 1775 mainly adds a logger CLI option and related argument handling. They are not the same concrete change." + }, + { + "left": "pull_request:1694", + "right": "pull_request:2033", + "accept": false, + "reason": "Both touch the same script, but 2033 is a smaller cleanup/parameter tweak PR rather than the same fix or feature as 1694's broader update." + }, + { + "left": "pull_request:1775", + "right": "pull_request:2033", + "accept": false, + "reason": "These are separate follow-up edits to the same example script, with different scopes and purposes; they do not look mergeable as one PR for the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 124, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1710-3", + "nodes": [ + "pull_request:1710", + "pull_request:1770", + "pull_request:2600" + ], + "soft_pairs": [ + "pull_request:1710|pull_request:2600", + "pull_request:1770|pull_request:2600" + ], + "prepared_review_unit_hash": "73cf4143c9736a078d9afec38463a9aafcf3a09aa5927b3056db9fbf6bf7729b", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8894, + "estimated_input_tokens": 2224, + "estimated_eval_tokens": 4704 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8894, + "estimated_input_tokens": 2224, + "estimated_eval_tokens": 4704 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three pull requests are documentation-focused, but they target different documentation problems: a docs README/bootstrap change, a broader stable-diffusion docs refresh, and a Flax pipeline API-doc addition. They are related in theme but not duplicates.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1770 is the broadest and most central documentation update in this cluster, touching stable-diffusion pipeline docs plus related source/doc examples; it best represents the main docs overhaul work.", + "best_issue_reason": null, + "best_pr_reason": "PR #1770 is the best representative for the cluster because it is the most substantial and general documentation change, whereas #1710 is a docs setup/readme addition and #2600 is a narrower Flax API-doc update.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1710", + "right": "pull_request:2600", + "accept": false, + "reason": "Both are docs-related, but #1710 adds a docs README/build setup and #2600 adds Flax pipeline API docs; different underlying changes and not plausibly one merged fix." + }, + { + "left": "pull_request:1770", + "right": "pull_request:2600", + "accept": false, + "reason": "#1770 updates stable-diffusion pipeline docs and examples, while #2600 adds Flax pipeline docs/examples; same broad subsystem, but different concrete documentation changes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 125, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1711-2", + "nodes": [ + "pull_request:1711", + "pull_request:1714" + ], + "soft_pairs": [ + "pull_request:1711|pull_request:1714" + ], + "prepared_review_unit_hash": "32c01e9c5eaa4d16ce8a80cc387c7832f00f7caff74f419e17c0861b28313e69", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4252, + "estimated_input_tokens": 1063, + "estimated_eval_tokens": 2382 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4252, + "estimated_input_tokens": 1063, + "estimated_eval_tokens": 2382 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two Dreambooth PRs are near-identical duplicates of the same feature addition: interim generation logging in `train_dreambooth.py`. PR #1714 looks like the finalized version of PR #1711.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1714 is the cleaner canonical PR: it is the non-draft version and matches the same change set as #1711 with only trivial wording differences in the help text and identical file scope.", + "best_issue_reason": null, + "best_pr_reason": "PR #1714 is the best representative because it is the finalized, non-draft submission for the same Dreambooth interim generation logging change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1711", + "right": "pull_request:1714", + "accept": true, + "reason": "Same title, same target file, and essentially the same diff implementing interim generation logging; these are duplicate PRs for the same code-path change and could plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 126, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1803-2", + "nodes": [ + "pull_request:1803", + "pull_request:1935" + ], + "soft_pairs": [ + "pull_request:1803|pull_request:1935" + ], + "prepared_review_unit_hash": "042b32af098bb95988f6cf20edf6ede031575ad92afe29c782274acd7ae92d06", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6697, + "estimated_input_tokens": 1675, + "estimated_eval_tokens": 3606 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6697, + "estimated_input_tokens": 1675, + "estimated_eval_tokens": 3606 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests add OneFlow/nn.graph support and share a large amount of infrastructure, but they target different pipelines and concrete code paths: PR #1803 is for AltDiffusion, while PR #1935 is for stable diffusion inpainting. They are related feature branches, not duplicates.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "If a single representative is needed, #1935 is slightly better because its title and scope are narrower and more explicit about the target pipeline; #1803 is separate AltDiffusion work.", + "best_issue_reason": null, + "best_pr_reason": "#1935 is the best overall PR representative in this cluster because it is a clearer, more focused change description and still reflects the shared OneFlow graph-support theme.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1803", + "right": "pull_request:1935", + "accept": false, + "reason": "Reject: both PRs share OneFlow graph-support plumbing, but they implement support for different pipelines (AltDiffusion vs stable diffusion inpainting) and are not the same fix/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 127, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1870-2", + "nodes": [ + "pull_request:1870", + "pull_request:2434" + ], + "soft_pairs": [ + "pull_request:1870|pull_request:2434" + ], + "prepared_review_unit_hash": "49cb7bc176f5b7870ed0f98569156be9338b22cb4f8edd841449086199a614ae", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5245, + "estimated_input_tokens": 1312, + "estimated_eval_tokens": 2880 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5245, + "estimated_input_tokens": 1312, + "estimated_eval_tokens": 2880 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are both documentation PRs, but they target different topics and files. PR #1870 is a broad docs cleanup for multiple pipeline API pages, while PR #2434 adds information to the Pix2Pix Zero docs and controlling-generation guide. They do not look like the same underlying change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #1870 is the broader, more central docs cleanup and is a better representative for the cluster than the narrowly scoped Pix2Pix Zero documentation update in #2434.", + "best_issue_reason": null, + "best_pr_reason": "PR #1870 is the strongest standalone representative because it touches many API docs and looks like the more general documentation change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1870", + "right": "pull_request:2434", + "accept": false, + "reason": "Different documentation changes with different scopes and files; one is a broad API docs cleanup, the other is a targeted Pix2Pix Zero/controlling-generation doc update. They do not fix the same concrete problem." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 128, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1893-2", + "nodes": [ + "pull_request:1893", + "pull_request:1948" + ], + "soft_pairs": [ + "pull_request:1893|pull_request:1948" + ], + "prepared_review_unit_hash": "2b04c8bf5080cb18f5a215df09fb5f214ffed0f7cd00bb5b810b8f65a9f069d0", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4364, + "estimated_input_tokens": 1091, + "estimated_eval_tokens": 2438 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4364, + "estimated_input_tokens": 1091, + "estimated_eval_tokens": 2438 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are related to DreamBooth multi-concept/multi-subject support, but they are not duplicates: one is a small multiprompt/example tweak, the other is a separate new research-project implementation with its own script and setup.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 1948 is the strongest representative of the cluster because it is the merged, fuller multi-subject DreamBooth implementation with a dedicated training script and README, whereas 1893 is a smaller multiprompt README/example update.", + "best_issue_reason": null, + "best_pr_reason": "PR 1948 is the best overall representative: it is merged, more complete, and directly implements the multi-subject DreamBooth workflow rather than only documenting or lightly extending the existing example.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1893", + "right": "pull_request:1948", + "accept": false, + "reason": "Related topic, but different changes: 1893 is a multiprompt DreamBooth example/README tweak, while 1948 introduces a separate multi-subject research project with a new script and requirements. They do not look like the same underlying bug/change and would not plausibly merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 129, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-1906-2", + "nodes": [ + "pull_request:1906", + "pull_request:1924" + ], + "soft_pairs": [ + "pull_request:1906|pull_request:1924" + ], + "prepared_review_unit_hash": "a7a02e58b281895b1ab4ba4e9d6430399d6ff38975666d998bdd30d645c7adfa", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6882, + "estimated_input_tokens": 1721, + "estimated_eval_tokens": 3698 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6882, + "estimated_input_tokens": 1721, + "estimated_eval_tokens": 3698 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are part of the same reproducibility effort, but they are not the same concrete change: #1906 swaps noise sampling across pipelines, while #1924 adds reproducibility docs, tests, and related helper updates. I would not deduplicate them.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "#1924 is the more complete and representative reproducibility PR: it adds the user-facing reproducibility guide plus supporting test/helper changes across pipelines.", + "best_issue_reason": null, + "best_pr_reason": "#1924 is the best overall PR in this cluster because it is broader and more self-contained, covering documentation, tests, and reproducibility utilities rather than only one implementation slice.", + "soft_edge_verdicts": [ + { + "left": "pull_request:1906", + "right": "pull_request:1924", + "accept": false, + "reason": "Related by theme, but not the same underlying change. #1906 focuses on replacing random tensor generation in multiple pipeline code paths; #1924 focuses on reproducibility documentation and test/helper updates. They would not plausibly be merged as one PR without widening scope substantially." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 130, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2067-3", + "nodes": [ + "pull_request:2067", + "pull_request:2096", + "pull_request:2147" + ], + "soft_pairs": [ + "pull_request:2067|pull_request:2096", + "pull_request:2067|pull_request:2147", + "pull_request:2096|pull_request:2147" + ], + "prepared_review_unit_hash": "4b269ce556d1ad28cdb8a80db9d2f03d99dad3485ae49d8cead2a87b65c0d9e5", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7403, + "estimated_input_tokens": 1851, + "estimated_eval_tokens": 3958 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7403, + "estimated_input_tokens": 1851, + "estimated_eval_tokens": 3958 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs target the same legacy Stable Diffusion inpaint bug: tensor mask handling/resize to latent size plus the final-latents noise issue. PR 2147 is the best canonical choice because it is merged and includes tests; 2067 and 2096 look like earlier/alternate implementations of the same fix.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 2147 is the strongest canonical PR: it is merged, addresses the same legacy inpaint code path, and includes test coverage for the mask resize/noise fix.", + "best_issue_reason": null, + "best_pr_reason": "PR 2147 is the best representative because it is the merged, test-backed fix for the same concrete legacy inpaint bug.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2067", + "right": "pull_request:2096", + "accept": true, + "reason": "Both PRs fix the same concrete legacy inpaint pipeline bug: scaling tensor masks to latent size and preventing noise in the final latents. They target the same file and same code path, and could plausibly be consolidated into one PR." + }, + { + "left": "pull_request:2067", + "right": "pull_request:2147", + "accept": true, + "reason": "Same underlying bug and same legacy inpaint code path. PR 2147 appears to be a later, more complete version of the same fix, so they are duplicate candidates." + }, + { + "left": "pull_request:2096", + "right": "pull_request:2147", + "accept": true, + "reason": "Both PRs address the exact same legacy inpaint mask-resize/noise issue in the same pipeline. The implementation details differ slightly, but the concrete bug and fix scope match closely enough to merge as one PR." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: all three PR titles and previews point to the same legacy inpaint mask-resize/noise bug, and PR 2147 is the only merged one with tests. The soft-pair acceptances are also conservative enough given the shared file and near-identical bug scope." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 131, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2072-2", + "nodes": [ + "pull_request:2072", + "pull_request:2079" + ], + "soft_pairs": [ + "pull_request:2072|pull_request:2079" + ], + "prepared_review_unit_hash": "90d922c1e117e2ca2494c32daca511b27238f048073969834d821ffb53a534ff", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4744, + "estimated_input_tokens": 1186, + "estimated_eval_tokens": 2628 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4744, + "estimated_input_tokens": 1186, + "estimated_eval_tokens": 2628 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs address checkpoint resume behavior in training scripts, but they are not the same fix: #2072 is specific to textual inversion and gradient checkpointing state restoration, while #2079 is a broader resume-epoch correction across multiple training scripts and explicitly excludes textual inversion.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "#2079 is the broader, more representative resume-checkpoint fix across the training scripts, and its scope matches the cluster\u2019s common theme better than the textual-inversion-only patch.", + "best_issue_reason": null, + "best_pr_reason": "#2079 is the best representative PR for this cluster because it covers the general resume logic bug across multiple scripts and is the more central, higher-scope change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2072", + "right": "pull_request:2079", + "accept": false, + "reason": "Reject: these are related resume-checkpoint fixes, but they target different concrete code paths and are not plausibly one merged PR. #2072 is textual_inversion-only and about restoring state with gradient checkpointing; #2079 changes resume epoch handling across other scripts and explicitly excludes textual inversion." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 132, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2125-2", + "nodes": [ + "pull_request:2125", + "pull_request:2127" + ], + "soft_pairs": [ + "pull_request:2125|pull_request:2127" + ], + "prepared_review_unit_hash": "ac08870da3005bd2120892b1306b71613095c6ffeed5ff25762205268c235967", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4270, + "estimated_input_tokens": 1068, + "estimated_eval_tokens": 2392 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4270, + "estimated_input_tokens": 1068, + "estimated_eval_tokens": 2392 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs substantially overlap on the same checkpoint_merger.py logging/reporting change; PR #2127 is the tighter match, while #2125 also includes an extra dynamic_modules_utils logging tweak.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2127 is the more focused change set: it targets the same checkpoint_merger.py logging/reporting fix without the extra unrelated logging refactor present in #2125.", + "best_issue_reason": null, + "best_pr_reason": "PR #2127 is the best representative of the cluster because it most directly captures the shared underlying change in checkpoint_merger.py.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2125", + "right": "pull_request:2127", + "accept": true, + "reason": "Both PRs modify checkpoint_merger.py in the same logging/reporting area, including replacing print-style reporting with logger calls; they look like the same underlying enhancement and could plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 133, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-44-3", + "nodes": [ + "pull_request:218", + "pull_request:44", + "pull_request:67" + ], + "soft_pairs": [ + "pull_request:218|pull_request:44", + "pull_request:218|pull_request:67" + ], + "prepared_review_unit_hash": "0ace2f0c0a405b5bcaaeae25bfdcffc9bea3e162716f3e915c55889b982b73ff", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6543, + "estimated_input_tokens": 1636, + "estimated_eval_tokens": 3528 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6543, + "estimated_input_tokens": 1636, + "estimated_eval_tokens": 3528 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Three merged PRs all touch `src/diffusers/models/resnet.py`, but they clean up different dead-code or API-shape issues rather than fixing the same concrete defect. The overlaps are superficial, so neither soft pair should be merged as duplicates.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 67 is the best representative of the cluster because it is a focused resnet cleanup and removes multiple obsolete helpers/classes across related model files, making it the broadest and clearest cleanup change here.", + "best_issue_reason": null, + "best_pr_reason": "PR 67 is the strongest standalone PR in this set: it addresses a coherent code cleanup in the core resnet implementation and spans the most relevant files for that cleanup.", + "soft_edge_verdicts": [ + { + "left": "pull_request:218", + "right": "pull_request:44", + "accept": false, + "reason": "Both touch `resnet.py`, but 218 removes an obsolete `set_weight` helper while 44 changes `Normalize`'s signature and related comments. Different code paths and different change intent." + }, + { + "left": "pull_request:218", + "right": "pull_request:67", + "accept": false, + "reason": "218 deletes dead `set_weight` logic; 67 removes helper functions/classes like `Normalize`, `nonlinearity`, and `TimestepBlock`. Same file, but not the same underlying fix and not something that would naturally be one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 134, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2206-4", + "nodes": [ + "pull_request:2206", + "pull_request:2260", + "pull_request:2842", + "pull_request:2962" + ], + "soft_pairs": [ + "pull_request:2206|pull_request:2842", + "pull_request:2206|pull_request:2962", + "pull_request:2206|pull_request:2260", + "pull_request:2842|pull_request:2962" + ], + "prepared_review_unit_hash": "088e4ea398a2d8d0edb0a0e1044056e88ae3f209dcd53128c7a47adb91065e86", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 9353, + "estimated_input_tokens": 2339, + "estimated_eval_tokens": 4934 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 9353, + "estimated_input_tokens": 2339, + "estimated_eval_tokens": 4934 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The packet points to two related-but-distinct PR themes: an img2img prompt-input-check cleanup (2206/2260) and a prompt_embeds-only support change in other Stable Diffusion pipelines (2842/2962). Only the 2842\u21942962 pair has packet support for acceptance; the img2img pair should stay conservative unless stronger evidence is available.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "2206 is the clearest representative of the img2img prompt-input-check change: it is merged, directly edits the relevant pipeline file, and has the most direct title/diff match for that specific fix.", + "best_issue_reason": null, + "best_pr_reason": "2962 is the strongest global representative of the prompt_embeds-only support theme because it has the clearest problem statement and substantial aligned evidence with 2842; the cluster is mixed, so this should be read as a representative, not a duplicate claim.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2206", + "right": "pull_request:2842", + "accept": false, + "reason": "Same general Stable Diffusion area, but different pipeline code paths and different concrete bugs; the packet only supports loose similarity." + }, + { + "left": "pull_request:2206", + "right": "pull_request:2962", + "accept": false, + "reason": "Different code paths (img2img vs k-diffusion SD) and only thematic overlap, so this is not the same underlying change." + }, + { + "left": "pull_request:2206", + "right": "pull_request:2260", + "accept": false, + "reason": "Strong overlap in file and theme, but the packet marks this pair non-deterministic; that is not enough to call them definite duplicates." + }, + { + "left": "pull_request:2842", + "right": "pull_request:2962", + "accept": true, + "reason": "Both changes implement prompt_embeds-only calling support for Stable Diffusion pipelines; despite different files, they look like the same concrete API-relaxation fix." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The output is not conservative enough relative to the packet. Two soft-edge verdicts conflict with the packet\u2019s deterministic hints: 2206\u21942260 is marked deterministic_accept=false, so calling them definite duplicates overstates the evidence; 2842\u21942962 is marked deterministic_accept=true, so rejecting that pair is too conservative. The summary also goes beyond the packet by asserting canonical/duplicate relationships that are not explicitly established." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 135, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2217-2", + "nodes": [ + "pull_request:2217", + "pull_request:2259" + ], + "soft_pairs": [ + "pull_request:2217|pull_request:2259" + ], + "prepared_review_unit_hash": "94ea7a00927ce14ac5b47b5fe74f8de5bc9215f35030af08d65b22ac14efd68b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3210, + "estimated_input_tokens": 803, + "estimated_eval_tokens": 1862 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3210, + "estimated_input_tokens": 803, + "estimated_eval_tokens": 1862 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests have the same title and appear to implement the same unconditional image generation argument change; PR #2259 is the merged, more complete version and is the best canonical PR.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2259 is the merged implementation of the feature, with code and README changes across the relevant unconditional image generation paths; PR #2217 appears to be an earlier duplicate/unmerged attempt.", + "best_issue_reason": null, + "best_pr_reason": "PR #2259 is the strongest representative because it is merged and includes the concrete implementation updates, not just the proposal.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2217", + "right": "pull_request:2259", + "accept": true, + "reason": "Same feature title and same underlying change: add center-crop/random-flip args for unconditional image generation. PR #2259 is the merged realization of the same fix/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 136, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2281-2", + "nodes": [ + "pull_request:2281", + "pull_request:2318" + ], + "soft_pairs": [ + "pull_request:2281|pull_request:2318" + ], + "prepared_review_unit_hash": "80feda53ac44d461ab4e83cc82baf01b49f9e6c60d4d018d8623b1bc00a74050", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 7188, + "estimated_input_tokens": 1797, + "estimated_eval_tokens": 3850 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 7188, + "estimated_input_tokens": 1797, + "estimated_eval_tokens": 3850 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are related checkpoint-loading work for Stable Diffusion, but they are not close enough to treat as duplicates: PR 2281 is a narrower, unmerged stable-diffusion-specific refactor around `from_checkpoint`, while PR 2318 is the merged, broader `FromCkptMixin`/`from_ckpt` implementation with docs and conversion support.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 2318 is the stronger canonical PR because it is merged and represents the broader, finalized checkpoint-loading mixin implementation rather than the narrower earlier refactor in PR 2281.", + "best_issue_reason": null, + "best_pr_reason": "PR 2318 is the best representative of the cluster because it is the merged implementation that generalizes checkpoint loading across pipelines and includes the supporting docs/conversion changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2281", + "right": "pull_request:2318", + "accept": false, + "reason": "Reject: both concern loading pipelines from checkpoints, but they differ in API shape and scope. PR 2281 adds a stable-diffusion-only `from_checkpoint` refactor, while PR 2318 adds a broader `FromCkptMixin`/`from_ckpt` feature plus docs and conversion support. This looks more like a follow-up/replacement than the same concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 137, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-302-2", + "nodes": [ + "pull_request:2313", + "pull_request:302" + ], + "soft_pairs": [ + "pull_request:2313|pull_request:302" + ], + "prepared_review_unit_hash": "b6bd3f9155d38f66de489b313c4ba274067d517321f0b419c7df69d16b7beb74", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4108, + "estimated_input_tokens": 1027, + "estimated_eval_tokens": 2310 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4108, + "estimated_input_tokens": 1027, + "estimated_eval_tokens": 2310 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are related by the general theme of \u201cfast tests,\u201d but they are not duplicates: PR #302 adds the fast pipeline test suite itself, while PR #2313 only updates CI workflow to run fast CPU tests on main.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #302 is the core implementation change: it adds the fast pipeline tests in tests/test_pipelines.py. PR #2313 is a separate CI/workflow follow-up that schedules fast CPU tests on main, so it is related but not the same underlying change.", + "best_issue_reason": null, + "best_pr_reason": "PR #302 is the best representative of the cluster because it contains the substantive test implementation rather than only workflow plumbing.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2313", + "right": "pull_request:302", + "accept": false, + "reason": "Different artifacts and code paths: #2313 changes the GitHub Actions workflow, while #302 adds fast tests in the test suite. They are related, but not the same bug/change and would not be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 138, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2417-2", + "nodes": [ + "pull_request:2417", + "pull_request:2418" + ], + "soft_pairs": [ + "pull_request:2417|pull_request:2418" + ], + "prepared_review_unit_hash": "bcd0ad5527f1b435b661c837fad2f3dbaeceff10ab3c106f2b4d519f757cccfd", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4032, + "estimated_input_tokens": 1008, + "estimated_eval_tokens": 2272 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4032, + "estimated_input_tokens": 1008, + "estimated_eval_tokens": 2272 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs target the same bug in `get_indices` in the attend-and-excite pipeline: the token/index mapping was reversed. PR #2418 is the merged, slightly broader version with the same code fix plus an example update, so it is the best canonical PR.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2418 is the merged change and contains the same core fix as #2417, with an added doc/example update.", + "best_issue_reason": null, + "best_pr_reason": "PR #2418 is the best representative because it is merged and fixes the exact same function-level bug as #2417.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2417", + "right": "pull_request:2418", + "accept": true, + "reason": "Same underlying code-path bug in `get_indices` on the same file; the diffs differ only by the example/doc addition in #2418, so these could plausibly be one PR." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the diffs: both PRs change the same `get_indices` mapping in the same file, and #2418 adds only an example/doc snippet on top of that fix. The soft-edge acceptance is conservative enough because the two changes are mergeable into a single bugfix PR." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 139, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2450-2", + "nodes": [ + "pull_request:2450", + "pull_request:2451" + ], + "soft_pairs": [ + "pull_request:2450|pull_request:2451" + ], + "prepared_review_unit_hash": "bfb87f9ec2b71a13393a64e0f97bf89480deeba62f954471fd5e298043933284", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4233, + "estimated_input_tokens": 1059, + "estimated_eval_tokens": 2374 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4233, + "estimated_input_tokens": 1059, + "estimated_eval_tokens": 2374 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests add the same `--save_every` option to the DreamBooth training script and insert the same periodic save pipeline logic in the same file, so they are duplicates of the same change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2451 is the better canonical PR because it covers the same code change as #2450 but has more discussion/review activity, making it the more vetted representative.", + "best_issue_reason": null, + "best_pr_reason": "PR #2451 is the best PR to keep as the representative duplicate because it implements the same concrete DreamBooth `save_every` change and appears to be the more reviewed of the two.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2450", + "right": "pull_request:2451", + "accept": true, + "reason": "Same file, same added CLI flag, and same periodic save behavior in the same code path; these are the same underlying PR change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 140, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2527-2", + "nodes": [ + "pull_request:2527", + "pull_request:2537" + ], + "soft_pairs": [ + "pull_request:2527|pull_request:2537" + ], + "prepared_review_unit_hash": "0595f7847f262b1ed43264c4e473f94692b0469fa4b947a22a6d81dcd3c9b960", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4285, + "estimated_input_tokens": 1072, + "estimated_eval_tokens": 2400 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4285, + "estimated_input_tokens": 1072, + "estimated_eval_tokens": 2400 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are both merged docs PRs that move/rename training content, but they cover different topics and pages: LoRA vs text-to-image. They only overlap in a shared toctree edit, so they are not duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: 2527 and 2537 are separate documentation migrations for different training guides, not the same underlying change.", + "best_issue_reason": null, + "best_pr_reason": "2527 is the cleaner representative only because it is a tighter, self-contained docs move; 2537 is a separate text2image docs rewrite and should not be merged with it.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2527", + "right": "pull_request:2537", + "accept": false, + "reason": "Different documentation targets and content (LoRA training vs text-to-image training). Shared toctree changes are too broad to treat as the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 141, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2547-3", + "nodes": [ + "pull_request:2547", + "pull_request:2576", + "pull_request:2592" + ], + "soft_pairs": [ + "pull_request:2547|pull_request:2576", + "pull_request:2576|pull_request:2592" + ], + "prepared_review_unit_hash": "dd36dae3d2aecb12b1c3446721cd8d2e9d049e540ff2b9a152c8a63e9ebceb58", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6467, + "estimated_input_tokens": 1617, + "estimated_eval_tokens": 3490 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6467, + "estimated_input_tokens": 1617, + "estimated_eval_tokens": 3490 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three separate documentation pull requests for different training topics. They share a similar docs-migration pattern, but they are not the same underlying change, so the soft similarity links should not be treated as duplicates.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2547 is the best representative only by being the earliest and most substantial of the docs-move updates, but it is still distinct from the other PRs.", + "best_issue_reason": null, + "best_pr_reason": "PR #2547 is the most central representative of the cluster because it has the broadest discussion/review and appears first in the sequence of similar docs updates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2547", + "right": "pull_request:2576", + "accept": false, + "reason": "Both are docs-only training-page rewrites, but they target different subjects and files: DreamBooth vs Textual Inversion. Similar structure is not enough to treat them as the same change." + }, + { + "left": "pull_request:2576", + "right": "pull_request:2592", + "accept": false, + "reason": "These update different training docs (Textual Inversion vs Unconditional image generation) with different content and paths. They are related cleanup work, not one concrete duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 142, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2621-6", + "nodes": [ + "pull_request:2621", + "pull_request:4084", + "pull_request:4131", + "pull_request:4138", + "pull_request:4861", + "pull_request:5638" + ], + "soft_pairs": [ + "pull_request:2621|pull_request:4861", + "pull_request:4084|pull_request:4861", + "pull_request:4131|pull_request:4138", + "pull_request:4131|pull_request:5638", + "pull_request:4861|pull_request:5638" + ], + "prepared_review_unit_hash": "97487a0bf8ec069d6623f3859b9eb0b6331b01c059c7e576ddbf60298c235beb", + "component_budget": { + "node_count": 6, + "item_count": 6, + "soft_pair_count": 5, + "serialized_chars": 15909, + "estimated_input_tokens": 3978, + "estimated_eval_tokens": 8212 + }, + "budget": { + "node_count": 6, + "item_count": 6, + "soft_pair_count": 5, + "serialized_chars": 15909, + "estimated_input_tokens": 3978, + "estimated_eval_tokens": 8212 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The cluster mixes two real themes: the initial AutoPipeline feature work and later AutoPipeline ControlNet-from-pipe fixes, plus a couple of unrelated ControlNet/loader PRs that only overlap loosely by subsystem. Only the AutoPipeline foundation PRs look like the same underlying change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4138 is the best canonical PR: it is the merged, comprehensive AutoPipeline implementation and documentation update, while PR 4131 is an earlier draft/superset precursor.", + "best_issue_reason": null, + "best_pr_reason": "PR 4138 is the strongest representative overall because it is the merged feature PR with the broadest and most complete implementation of the AutoPipeline change set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2621", + "right": "pull_request:4861", + "accept": false, + "reason": "Different changes: 2621 adds MultiControlNet support in a ControlNet pipeline, while 4861 updates AutoPipeline.from_pipe behavior. Same broad area, but not the same concrete bug or change." + }, + { + "left": "pull_request:4084", + "right": "pull_request:4861", + "accept": false, + "reason": "Different scopes: 4084 adds single-file loading for ControlNet/VAE, whereas 4861 fixes AutoPipeline.from_pipe to switch between pipelines. They do not fix the same code path." + }, + { + "left": "pull_request:4131", + "right": "pull_request:4138", + "accept": true, + "reason": "Same underlying feature family: 4131 is a draft AutoPipeline export/initialization PR, and 4138 is the fuller AutoPipeline implementation. They are plausibly merged into one PR for the same feature." + }, + { + "left": "pull_request:4131", + "right": "pull_request:5638", + "accept": false, + "reason": "4131 is the initial AutoPipeline feature work; 5638 is a later narrow bug fix in AutoPipeline.from_pipe for existing ControlNet pipelines. Related, but not the same concrete change." + }, + { + "left": "pull_request:4861", + "right": "pull_request:5638", + "accept": false, + "reason": "Both touch AutoPipeline.from_pipe, but 4861 adds ControlNet counterpart support and 5638 fixes name-replacement edge cases. The latter is a follow-up bug fix, not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 143, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2723-2", + "nodes": [ + "pull_request:2723", + "pull_request:2779" + ], + "soft_pairs": [ + "pull_request:2723|pull_request:2779" + ], + "prepared_review_unit_hash": "6fbc1437e282ef52468317aa2a29be438a85e5f8c25eedc00a3cc5475fed2bde", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4392, + "estimated_input_tokens": 1098, + "estimated_eval_tokens": 2452 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4392, + "estimated_input_tokens": 1098, + "estimated_eval_tokens": 2452 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are only superficially related: both touch community CLIP-guided Stable Diffusion examples, but one adds CLIP guidance for img2img while the other adds DPMSolverMultistepScheduler support. They do not look like the same underlying change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 2779 is the better anchor if one PR must represent the cluster: it is a focused scheduler-support update applied across the CLIP-guided community pipelines and has more review activity.", + "best_issue_reason": null, + "best_pr_reason": "PR 2779 is the stronger standalone PR candidate because it makes a concrete, self-contained code-path change across the related example files rather than introducing a separate img2img feature.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2723", + "right": "pull_request:2779", + "accept": false, + "reason": "Different changes: 2723 adds CLIP guidance for img2img, while 2779 adds DPMSolverMultistepScheduler support to CLIP-guided pipelines. Shared filename alone is not enough to treat them as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 144, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-926-2", + "nodes": [ + "pull_request:2771", + "pull_request:926" + ], + "soft_pairs": [ + "pull_request:2771|pull_request:926" + ], + "prepared_review_unit_hash": "6588bf855d02e037647c7e6b46b97409806eb0526f62ef79a90ced2324caecfb", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4740, + "estimated_input_tokens": 1185, + "estimated_eval_tokens": 2626 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4740, + "estimated_input_tokens": 1185, + "estimated_eval_tokens": 2626 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are MPS-related but not duplicates: PR 926 is the broader PyTorch 1.13 MPS support update, while PR 2771 later removes the warmup-pass workaround and updates docs/tests. They do not look like the same underlying code change.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 926 is the better canonical PR because it introduces the broader MPS compatibility changes and code-path adjustments, whereas PR 2771 is a narrower follow-up focused on removing warmup passes and related documentation/test updates.", + "best_issue_reason": null, + "best_pr_reason": "PR 926 is the best representative of the cluster since it is the more substantial and foundational MPS change; PR 2771 is more of a later cleanup/refinement rather than the core fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2771", + "right": "pull_request:926", + "accept": false, + "reason": "They address different MPS problems: 926 adds PyTorch 1.13 MPS support and associated code/docs changes, while 2771 removes the warmup-pass workaround and adjusts tests/docs. Shared subsystem alone is not enough to treat them as the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 145, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2918-2", + "nodes": [ + "pull_request:2918", + "pull_request:3594" + ], + "soft_pairs": [ + "pull_request:2918|pull_request:3594" + ], + "prepared_review_unit_hash": "cd067c883e8a41c1d6b6ef199475e573ed6d42301646d7e31c2d86b57be44e9b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4699, + "estimated_input_tokens": 1175, + "estimated_eval_tokens": 2606 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4699, + "estimated_input_tokens": 1175, + "estimated_eval_tokens": 2606 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two related but distinct LoRA pull requests: PR #2918 adds limited LoRA support for the text encoder, while PR #3594 adds a PyTorch 2.0-specific LoRA attention processor and DreamBooth plumbing. The shared `loaders.py` touch is incidental, not the same underlying change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #2918 is the broader, earlier LoRA support change and is the better representative of the cluster\u2019s shared theme.", + "best_issue_reason": null, + "best_pr_reason": "PR #2918 is the best single representative because it covers the foundational text-encoder LoRA support, whereas PR #3594 is a narrower PT 2.0 attention-processor extension.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2918", + "right": "pull_request:3594", + "accept": false, + "reason": "Different code-path problems: #2918 enables limited LoRA support for the text encoder, while #3594 adds LoRAAttnProcessor2_0 / PyTorch 2.0 attention support. They overlap in LoRA infrastructure but are not the same fix and would not be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 146, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-2963-3", + "nodes": [ + "pull_request:2963", + "pull_request:3492", + "pull_request:3992" + ], + "soft_pairs": [ + "pull_request:2963|pull_request:3492", + "pull_request:3492|pull_request:3992" + ], + "prepared_review_unit_hash": "dbfbed88c00b3c87c79596c36423e0602f6290afeaaf87b695795d486810a5d5", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8356, + "estimated_input_tokens": 2089, + "estimated_eval_tokens": 4434 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 8356, + "estimated_input_tokens": 2089, + "estimated_eval_tokens": 4434 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster mixes three separate PRs: a UniDiffuser pipeline addition, a Consistency Models pipeline addition, and a later WIP Consistency Models distillation example. Only the Consistency Models pipeline PR is a strong representative of the cluster theme; the others are too different to merge as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3492 is the best canonical PR because it is the main merged implementation for Consistency Models, adding the pipeline, scheduler, docs, and tests as a coherent change.", + "best_issue_reason": null, + "best_pr_reason": "PR #3492 is the best overall PR for this cluster: it is the most complete, merged code change and clearly represents the core artifact among the related Consistency Models items.", + "soft_edge_verdicts": [ + { + "left": "pull_request:2963", + "right": "pull_request:3492", + "accept": false, + "reason": "Different underlying changes: UniDiffuser vs. Consistency Models. They only overlap on generic docs/__init__ wiring, not the same code-path or feature." + }, + { + "left": "pull_request:3492", + "right": "pull_request:3992", + "accept": false, + "reason": "The first PR adds the Consistency Models pipeline/scheduler; the second is a separate WIP training/distillation example that merely reuses the scheduler. They are not the same concrete fix/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 147, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3024-2", + "nodes": [ + "pull_request:3024", + "pull_request:3048" + ], + "soft_pairs": [ + "pull_request:3024|pull_request:3048" + ], + "prepared_review_unit_hash": "4819770414e8e2c6480d10ad30acc1a354c5055110df21d77a9791810dfede54", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4519, + "estimated_input_tokens": 1130, + "estimated_eval_tokens": 2516 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4519, + "estimated_input_tokens": 1130, + "estimated_eval_tokens": 2516 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are related by time-embedding handling in UNet code, but they are not duplicates: #3024 adds `skip_time_act` and related output-scale behavior in ResNet blocks, while #3048 adds a separate configurable activation for time embeddings in UNet conditioning. Same neighborhood, different changes.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR for duplication: #3024 changes ResNet time-activation skipping/output scaling, while #3048 implements a distinct UNet time-embedding activation option.", + "best_issue_reason": null, + "best_pr_reason": "#3048 is the better representative of the shared theme because it is a focused, user-facing time-embedding activation change; #3024 is broader and includes additional behavior beyond activation.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3024", + "right": "pull_request:3048", + "accept": false, + "reason": "They touch related time-embedding paths, but implement different features in different code paths: #3024 adds `skip_time_act`/output-scale behavior in ResNet blocks, while #3048 adds a separate UNet time-embedding activation option. They would not plausibly collapse into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 148, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3083-2", + "nodes": [ + "pull_request:3083", + "pull_request:4180" + ], + "soft_pairs": [ + "pull_request:3083|pull_request:4180" + ], + "prepared_review_unit_hash": "5032ccf868ac90f794e737703fdb1b9c0a5f920cf0fb6adb37e327c2701d9e40", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3173, + "estimated_input_tokens": 794, + "estimated_eval_tokens": 1844 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3173, + "estimated_input_tokens": 794, + "estimated_eval_tokens": 1844 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two unrelated ControlNet PRs: one updates a Flax docstring example, the other removes an unnecessary safety checker argument in a training example. They do not look like the same underlying change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4180 is the more concrete, code-path-adjacent change: it edits the ControlNet SDXL training example. PR 3083 is only a docstring example tweak.", + "best_issue_reason": null, + "best_pr_reason": "PR 4180 is the best representative of the cluster because it is the more substantive and implementation-adjacent ControlNet change; PR 3083 is just documentation/example cleanup.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3083", + "right": "pull_request:4180", + "accept": false, + "reason": "Different changes in different files and contexts: a Flax pipeline docstring revision vs. removal of `safety_checker` in a training script. Same broad subsystem, but not the same bug or mergeable change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 149, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3084-2", + "nodes": [ + "pull_request:3084", + "pull_request:3459" + ], + "soft_pairs": [ + "pull_request:3084|pull_request:3459" + ], + "prepared_review_unit_hash": "62b4e52d8cdbeb9e8e9bcd96d58c00a228dfd9b47f17a615efff67bb5c90f92a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4274, + "estimated_input_tokens": 1069, + "estimated_eval_tokens": 2394 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4274, + "estimated_input_tokens": 1069, + "estimated_eval_tokens": 2394 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests implement the same Min-SNR weighting addition in the same LoRA training script with near-identical diffs; PR #3459 is the merged version, so this looks like a duplicate/replacement of PR #3084.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3459 is the merged PR and matches the same code change as #3084, so it is the better canonical pull request.", + "best_issue_reason": null, + "best_pr_reason": "PR #3459 is the strongest representative because it is merged and appears to contain the same Min-SNR LoRA training-script update as #3084.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3084", + "right": "pull_request:3459", + "accept": true, + "reason": "Same underlying change: both add the `snr_gamma` option and `compute_snr` logic to `examples/text_to_image/train_text_to_image_lora.py`, with essentially identical diff context." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 150, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3308-3", + "nodes": [ + "pull_request:3308", + "pull_request:3783", + "pull_request:3845" + ], + "soft_pairs": [ + "pull_request:3308|pull_request:3783", + "pull_request:3308|pull_request:3845", + "pull_request:3783|pull_request:3845" + ], + "prepared_review_unit_hash": "97e671eecc243ee84105f30fd2fff9b4cac43703fe71574987d3f7cda48caff2", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 8061, + "estimated_input_tokens": 2016, + "estimated_eval_tokens": 4288 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 8061, + "estimated_input_tokens": 2016, + "estimated_eval_tokens": 4288 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three PRs are about Kandinsky, but they are not the same change: #3308 adds Kandinsky 2.1 support, #3783 adjusts the text-to-image scheduler/docs for DDPM, and #3845 fixes img2img variance handling for DDPM. They are related follow-ups in the same area, not duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "#3308 is the best canonical PR because it is the main umbrella implementation for Kandinsky 2.1 and establishes the codepath that the later, narrower follow-up fixes build on.", + "best_issue_reason": null, + "best_pr_reason": "#3308 is the broadest and most representative change in the cluster; #3783 and #3845 are smaller incremental fixes scoped to specific Kandinsky pipeline behaviors rather than the core feature addition.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3308", + "right": "pull_request:3783", + "accept": false, + "reason": "#3308 adds the Kandinsky 2.1 feature set, while #3783 only changes the scheduler/docs for one pipeline path; related, but not the same underlying change." + }, + { + "left": "pull_request:3308", + "right": "pull_request:3845", + "accept": false, + "reason": "#3308 is the initial Kandinsky implementation, whereas #3845 is a narrow img2img DDPM variance refactor/fix; these are different concrete code changes." + }, + { + "left": "pull_request:3783", + "right": "pull_request:3845", + "accept": false, + "reason": "Both mention DDPM/Kandinsky, but one targets the text-to-image scheduler and the other targets img2img variance handling; different code paths, so not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 151, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3330-3", + "nodes": [ + "pull_request:3330", + "pull_request:3373", + "pull_request:3426" + ], + "soft_pairs": [ + "pull_request:3330|pull_request:3373", + "pull_request:3373|pull_request:3426" + ], + "prepared_review_unit_hash": "394d0a74e2404d0b160933a2da484282c42b0c315e4a402b230a2c956dd919f6", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7224, + "estimated_input_tokens": 1806, + "estimated_eval_tokens": 3868 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7224, + "estimated_input_tokens": 1806, + "estimated_eval_tokens": 3868 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are all part of the Kandinsky feature rollout, but they implement different pieces: a decoder, an image encoder/multiclip model, and an img2img pipeline. They are related dependencies, not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 3426 is the most complete end-user feature PR in this cluster: it adds the Kandinsky img2img pipeline plus the necessary exports, dummy objects, and tests. The others are supporting component additions rather than the main user-facing change.", + "best_issue_reason": null, + "best_pr_reason": "PR 3426 is the strongest representative of the cluster because it delivers a coherent, mergeable Kandinsky capability with end-to-end pipeline integration and test coverage.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3330", + "right": "pull_request:3373", + "accept": false, + "reason": "They touch the same Kandinsky area, but one adds the decoder and the other adds the image encoder/multiclip model. These are different components, not the same fix or change." + }, + { + "left": "pull_request:3373", + "right": "pull_request:3426", + "accept": false, + "reason": "PR 3373 adds the image encoder/multiclip model, while PR 3426 adds the img2img pipeline and packaging/tests. They are related dependencies, not one underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 152, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3414-2", + "nodes": [ + "pull_request:3414", + "pull_request:3415" + ], + "soft_pairs": [ + "pull_request:3414|pull_request:3415" + ], + "prepared_review_unit_hash": "a9bd58c3ada49e0769151c7dbb3f0c8f4b677f850a16855ae3cf2c6fcdce823d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3783, + "estimated_input_tokens": 946, + "estimated_eval_tokens": 2148 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3783, + "estimated_input_tokens": 946, + "estimated_eval_tokens": 2148 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two pull requests are closely related cleanup changes around CI dependency installation, but they are not the same concrete fix: each edits a different workflow file and one of them also changes install commands rather than only removing source installs.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3415 is the better canonical representative because it makes the broader workflow change: it updates the fast test workflow and normalizes the install commands, whereas #3414 is a narrower removal-only edit in a different workflow.", + "best_issue_reason": null, + "best_pr_reason": "PR #3415 is the best overall representative of the cluster because it covers the more complete CI-side adjustment and has the clearest end-state for the dependency-install change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3414", + "right": "pull_request:3415", + "accept": false, + "reason": "Same general theme, but different workflow files and different exact edits; these are not the same underlying code-path change and would not naturally be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 153, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3435-2", + "nodes": [ + "pull_request:3435", + "pull_request:3508" + ], + "soft_pairs": [ + "pull_request:3435|pull_request:3508" + ], + "prepared_review_unit_hash": "0bb0e1c420eff651049e316faef7f101c1d7dd5b59a1ea70e094e1aa655b4743", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4405, + "estimated_input_tokens": 1102, + "estimated_eval_tokens": 2460 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4405, + "estimated_input_tokens": 1102, + "estimated_eval_tokens": 2460 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related Stable Diffusion community example PRs, but they target different variants of the reference-image feature: one is reference-only control, the other adds a ControlNet reference example and doc updates. They are not the same underlying change.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3508 is the broader, more representative change because it introduces the ControlNet reference example in addition to refining the existing reference docs, whereas #3435 is just the initial reference-only example.", + "best_issue_reason": null, + "best_pr_reason": "PR #3508 is the best standalone PR here because it is the more complete follow-up and covers a clearer, broader feature slice of the reference pipeline examples.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3435", + "right": "pull_request:3508", + "accept": false, + "reason": "Related feature area, but not the same concrete change: #3435 adds the reference-only example, while #3508 adds a ControlNet reference example and adjusts docs. They could not plausibly be merged into one single duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 154, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3437-2", + "nodes": [ + "pull_request:3437", + "pull_request:3756" + ], + "soft_pairs": [ + "pull_request:3437|pull_request:3756" + ], + "prepared_review_unit_hash": "44a286a39298fca201ab91ef06587190f876409166c3d2f951304232175f0ba7", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4749, + "estimated_input_tokens": 1188, + "estimated_eval_tokens": 2632 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4749, + "estimated_input_tokens": 1188, + "estimated_eval_tokens": 2632 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two related PRs both address Kohya-ss style LoRA loading, but they are not the same change: one is a merged limited-capacity support release, the other is an unfinished draft aiming for unrestricted loading.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3437 is the better canonical PR: it is merged, has broader completion across loader/docs/tests, and represents the accepted implementation for Kohya-ss-style LoRA support.", + "best_issue_reason": null, + "best_pr_reason": "PR #3437 is the best PR in the cluster because it is merged and fully realized; PR #3756 is a draft and appears to be a separate, more ambitious follow-up rather than the same concrete fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3437", + "right": "pull_request:3756", + "accept": false, + "reason": "Both discuss Kohya-ss LoRA loading, but #3437 is a limited-capacity implementation while #3756 is a draft for unrestricted loading with different scope and code paths. They are related, not duplicate enough to merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 155, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3479-2", + "nodes": [ + "pull_request:3479", + "pull_request:3535" + ], + "soft_pairs": [ + "pull_request:3479|pull_request:3535" + ], + "prepared_review_unit_hash": "a985963d9e0b1896b41c7d1799c55ae151b44bf647f867c35a663ccce447f32d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4153, + "estimated_input_tokens": 1039, + "estimated_eval_tokens": 2334 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4153, + "estimated_input_tokens": 1039, + "estimated_eval_tokens": 2334 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged PRs that apply the same broadcast-assignment fix pattern, but in different model families and code paths: 1D up/downsampling vs 2D ResNet blocks. They are related in style, not duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "If one PR must represent the cluster, 3535 is the better anchor because it has the clearer generalized title and fixes both 2D forward paths; 3479 is a separate 1D implementation of the same pattern.", + "best_issue_reason": null, + "best_pr_reason": "3535 is the best representative PR: it cleanly describes the broadcast-assignment fix and covers both affected ResNet paths. 3479 is narrower and belongs to a different 1D block.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3479", + "right": "pull_request:3535", + "accept": false, + "reason": "Same broad fix pattern, but different concrete code paths and tensor ranks: 1D up/downsample blocks in unet_1d_blocks.py versus 2D ResNet blocks in resnet.py. They are not the same underlying change and would not plausibly merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 156, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-361-2", + "nodes": [ + "pull_request:361", + "pull_request:727" + ], + "soft_pairs": [ + "pull_request:361|pull_request:727" + ], + "prepared_review_unit_hash": "1050cf547764823651539a32769efcb98e26a6f8f9fa436fcab747e3f77d7547", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3094, + "estimated_input_tokens": 774, + "estimated_eval_tokens": 1804 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3094, + "estimated_input_tokens": 774, + "estimated_eval_tokens": 1804 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests are about lowering memory use during loading via accelerate, but they target different code paths and different issue trackers: PR #361 adds accelerate/device_map support for model loading, while PR #727 is a later pipeline-loading request with no diff shown. They look related thematically, not like the same PR-worthy change.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #361 is the stronger canonical PR: it is merged, has a concrete diff, and implements the accelerate-based loading change directly in code. PR #727 has no diff preview and appears to be a separate, unmerged pipeline-loading request.", + "best_issue_reason": null, + "best_pr_reason": "PR #361 is the best representative because it contains the actual implementation and is the only merged change with concrete code modifications.", + "soft_edge_verdicts": [ + { + "left": "pull_request:361", + "right": "pull_request:727", + "accept": false, + "reason": "Same broad theme (accelerate memory reduction), but different targets and code paths: model loading vs pipeline loading. Different explicit issue links also suggest separate work, so they should not be merged as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 157, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3668-2", + "nodes": [ + "pull_request:3668", + "pull_request:3875" + ], + "soft_pairs": [ + "pull_request:3668|pull_request:3875" + ], + "prepared_review_unit_hash": "e3143c3e407d66feaf95c025ac43ec64e0907306f1b0bb991ad5026d0baa2892", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4909, + "estimated_input_tokens": 1228, + "estimated_eval_tokens": 2712 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4909, + "estimated_input_tokens": 1228, + "estimated_eval_tokens": 2712 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two LDM3D pull requests: the first adds the feature and docs, while the second adjusts the image-depth conversion for newer checkpoints. They are related but not the same change.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 3668 is the foundational LDM3D implementation, adding the pipeline, docs, exports, and tests; it best anchors the cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR 3668 is the most representative artifact for this cluster because it introduces the underlying LDM3D feature rather than a later compatibility adjustment.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3668", + "right": "pull_request:3875", + "accept": false, + "reason": "Both target LDM3D, but 3668 is the initial feature PR and 3875 is a later checkpoint-compatibility update in the same area; they are not the same concrete code change and would not plausibly merge as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 158, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3692-2", + "nodes": [ + "pull_request:3692", + "pull_request:4444" + ], + "soft_pairs": [ + "pull_request:3692|pull_request:4444" + ], + "prepared_review_unit_hash": "4635b77db6bf4ecbf2c85b8fafe5d4c4cf1432f6fdd833fbefc1f0074d8aed44", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5938, + "estimated_input_tokens": 1485, + "estimated_eval_tokens": 3226 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5938, + "estimated_input_tokens": 1485, + "estimated_eval_tokens": 3226 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related by image-processing refactors in diffusers, but they address different changes: one is a narrow deprecation notice for upscale pipeline preprocess helpers, the other is a broad VaeImageProcessor refactor across many pipelines and mask/image handling. They should not be clustered as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4444 is the more central representative of the cluster because it introduces the VaeImageProcessor-based refactor across many pipelines and the shared image-processing API surface.", + "best_issue_reason": null, + "best_pr_reason": "PR #4444 is the best overall representative since it has the broader, more substantive change set and touches the shared code path that the other PR only overlaps with indirectly.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3692", + "right": "pull_request:4444", + "accept": false, + "reason": "They are not the same concrete change: #3692 only adds deprecation warnings in the x4 upscaler preprocess helper, while #4444 refactors mask/image preparation to use VaeImageProcessor across many pipelines." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 159, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3751-3", + "nodes": [ + "pull_request:3751", + "pull_request:4939", + "pull_request:4941" + ], + "soft_pairs": [ + "pull_request:3751|pull_request:4939", + "pull_request:4939|pull_request:4941" + ], + "prepared_review_unit_hash": "4a2c9e8596e926aa8d93e75258ae20984e70c8e2fdb07ed6364410126ccf920e", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6201, + "estimated_input_tokens": 1551, + "estimated_eval_tokens": 3358 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6201, + "estimated_input_tokens": 1551, + "estimated_eval_tokens": 3358 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are related only at a very broad Diffusers/pipeline level, but they fix different things: LoRA loading for StableDiffusionKDiffusionPipeline, LoRA loading for StableDiffusionXLAdapterPipeline, and negative micro-conditioning support for the same adapter pipeline. No duplicate or mergeable same-bug pair is present.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the three PRs are distinct feature changes, not the same underlying fix.", + "best_issue_reason": null, + "best_pr_reason": "PR 4939 is the most self-contained functional change, but it is still separate from the other two and not a duplicate representative.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3751", + "right": "pull_request:4939", + "accept": false, + "reason": "Different pipelines and different features: LoRA support for StableDiffusionKDiffusionPipeline vs LoRA loading for StableDiffusionXLAdapterPipeline." + }, + { + "left": "pull_request:4939", + "right": "pull_request:4941", + "accept": false, + "reason": "Same file, but different code paths and user-facing changes: LoRA loading override vs negative micro-conditioning parameters." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 160, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3904-2", + "nodes": [ + "pull_request:3904", + "pull_request:3905" + ], + "soft_pairs": [ + "pull_request:3904|pull_request:3905" + ], + "prepared_review_unit_hash": "626872c355e2458e051813e52a7b2e13d0c3b88618c5c265dd9d50951450f8a1", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6257, + "estimated_input_tokens": 1565, + "estimated_eval_tokens": 3386 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6257, + "estimated_input_tokens": 1565, + "estimated_eval_tokens": 3386 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are documentation-focused pull requests in the pipeline API area, but they are not the same underlying change: #3904 targets a small set of AltDiffusion/stable-diffusion API doc updates, while #3905 is a broader cleanup across many pipeline docs and the toctree. They overlap in files because #3905 sweeps through the same documentation area, not because they fix the same discrete issue.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #3905 is the better canonical representative because it is the merged, broader doc cleanup that subsumes several pipeline API wording/title adjustments and has much more discussion activity.", + "best_issue_reason": null, + "best_pr_reason": "PR #3905 is the best overall PR in this cluster: it was merged, covers the larger and more complete documentation cleanup, and appears to be the intended final change set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:3904", + "right": "pull_request:3905", + "accept": false, + "reason": "Reject: the overlap is only in shared documentation files and pipeline API cleanup. The diffs are not the same concrete change and could not reasonably be merged as duplicates of one bug fix or feature." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 161, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-3930-2", + "nodes": [ + "pull_request:3930", + "pull_request:3949" + ], + "soft_pairs": [ + "pull_request:3930|pull_request:3949" + ], + "prepared_review_unit_hash": "9483fb5f6c294a8cd68da4dee181c9a53fc050b1265d7bc9be46567e6d22a530", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4926, + "estimated_input_tokens": 1232, + "estimated_eval_tokens": 2720 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4926, + "estimated_input_tokens": 1232, + "estimated_eval_tokens": 2720 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs overlap in the same text-to-video area, but they solve different problems: #3930 adds memory-saving chunked feed-forward support, while #3949 changes UNet/pipeline return handling for torch.compile compatibility. They are not the same underlying change, so the soft duplicate edge should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:3930", + "right": "pull_request:3949", + "accept": false, + "reason": "Different code-path problems: #3930 focuses on memory optimization via chunked feed-forward in attention/3D UNet, while #3949 updates return_dict handling for torch.compile compatibility. Shared files are broad text-to-video plumbing, not evidence of the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 162, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4032-2", + "nodes": [ + "pull_request:4032", + "pull_request:4454" + ], + "soft_pairs": [ + "pull_request:4032|pull_request:4454" + ], + "prepared_review_unit_hash": "4ecaef953ab7d738e128a970f6050f8c4da7b0eac5ce3083462d3f50af9d36ab", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4907, + "estimated_input_tokens": 1227, + "estimated_eval_tokens": 2710 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4907, + "estimated_input_tokens": 1227, + "estimated_eval_tokens": 2710 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs address edge cases in ControlNet pipelines when a MultiControlNet setup contains only one ControlNet, but they patch different bugs in different code paths, so they should not be merged as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4454 is the more explicit, focused fix for the single-ControlNet MultiControlNet type-error path, with a concrete guard where list-valued conditioning scales are reduced to a scalar.", + "best_issue_reason": null, + "best_pr_reason": "PR 4454 is the best representative of the cluster because it directly targets the reported type error across the affected ControlNet pipeline variants and has the clearest bug-to-fix mapping.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4032", + "right": "pull_request:4454", + "accept": false, + "reason": "Related but not the same underlying change: 4032 fixes keep-mask selection for MultiControlNetModel length 1, while 4454 fixes cond_scale type handling when the conditioning scale is a list. They touch the same subsystem but different failure points." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 163, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4076-2", + "nodes": [ + "pull_request:4076", + "pull_request:4079" + ], + "soft_pairs": [ + "pull_request:4076|pull_request:4079" + ], + "prepared_review_unit_hash": "d203a3d179fa5b014fa022f54b9b3202a065bf2d84a367aa269b02f4c143544c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5075, + "estimated_input_tokens": 1269, + "estimated_eval_tokens": 2794 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5075, + "estimated_input_tokens": 1269, + "estimated_eval_tokens": 2794 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs target the same SDXL InstructPix2Pix feature work, with 4079 being the broader, merged implementation and 4076 a smaller overlapping subset.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4079 is the merged, more complete implementation of SDXL InstructPix2Pix support, covering the core pipeline/training code plus docs, exports, tests, and compatibility updates.", + "best_issue_reason": null, + "best_pr_reason": "PR 4079 is the best representative because it includes the full feature change and was actually merged, while 4076 is an earlier narrower subset of the same work.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4076", + "right": "pull_request:4079", + "accept": true, + "reason": "Same underlying feature change: both add SDXL InstructPix2Pix support and share the core training script and pipeline file, with 4079 extending the same code-path change into docs/tests/exports." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 164, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4221-2", + "nodes": [ + "pull_request:4221", + "pull_request:6046" + ], + "soft_pairs": [ + "pull_request:4221|pull_request:6046" + ], + "prepared_review_unit_hash": "ee3a428c9ac39deae79e274c966647f124e12b201cacc7998f5cd7d2b0d7244e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3876, + "estimated_input_tokens": 969, + "estimated_eval_tokens": 2194 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3876, + "estimated_input_tokens": 969, + "estimated_eval_tokens": 2194 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related to LoRA/IP-Adapter loading behavior, but they fix different bugs: one handles `network_alpha` for old-format LoRA loading, the other fixes `self.unet` vs named UNet access when the UNet attribute is not literally called `unet`. They should not be clustered as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6046 is the better canonical PR for this cluster because it addresses a broader, clearer loader bug around nonstandard UNet attribute names and touches the relevant loader paths directly.", + "best_issue_reason": null, + "best_pr_reason": "PR #6046 is the best representative overall: it fixes a concrete code-path problem in both IP-Adapter and LoRA loader handling when the UNet is stored under a different attribute name.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4221", + "right": "pull_request:6046", + "accept": false, + "reason": "Different underlying defects: #4221 passes `network_alpha` for old-format LoRA weights, while #6046 fixes loader access when the UNet attribute is not named `unet`. They are not the same change and would not plausibly be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 165, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4369-2", + "nodes": [ + "pull_request:4369", + "pull_request:4411" + ], + "soft_pairs": [ + "pull_request:4369|pull_request:4411" + ], + "prepared_review_unit_hash": "9317a9541b16f981ce142302cdea9a12d20f48f2a177b89e2d16b6361cf84ce8", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4076, + "estimated_input_tokens": 1019, + "estimated_eval_tokens": 2294 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4076, + "estimated_input_tokens": 1019, + "estimated_eval_tokens": 2294 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are small cleanup fixes, but they target different duplicate-code issues in different ControlNet/SDXL code paths, so they should not be clustered as the same change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: #4369 removes duplicate prompt-tokenization lines across SDXL pipelines, while #4411 removes a redundant ControlNet assignment in img2img; they are distinct fixes.", + "best_issue_reason": null, + "best_pr_reason": "No global best PR for this cluster as a duplicate representative; the PRs are unrelated cleanup changes rather than one underlying bug/fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4369", + "right": "pull_request:4411", + "accept": false, + "reason": "Different code paths and bugs: #4369 is an encode_prompt duplicate-line cleanup in SDXL pipelines, while #4411 removes a redundant controlnet assignment in ControlNet img2img. Not the same change and not mergeable into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 166, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4415-2", + "nodes": [ + "pull_request:4415", + "pull_request:4455" + ], + "soft_pairs": [ + "pull_request:4415|pull_request:4455" + ], + "prepared_review_unit_hash": "b76d4c9eccf7ea36347155553c358fcd113a153ecf4995e5597469cbba0572cc", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4672, + "estimated_input_tokens": 1168, + "estimated_eval_tokens": 2592 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4672, + "estimated_input_tokens": 1168, + "estimated_eval_tokens": 2592 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are similar Stable Diffusion test-flakiness cleanups that add `set_default_attn_processor()`, but they target different test cases and code paths, so they do not look like the same change.", + "confidence": 0.77, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4455 is the better representative of the cleanup pattern because it touches the main Stable Diffusion test file and shows the core flaky-test mitigation more centrally than the more pipeline-specific compile cleanup in #4415.", + "best_issue_reason": null, + "best_pr_reason": "PR #4455 is the best single PR for this cluster because it is a focused Stable Diffusion flaky-test cleanup in the primary test suite, whereas #4415 is a separate compile-oriented cleanup across several pipeline tests.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4415", + "right": "pull_request:4455", + "accept": false, + "reason": "They are related test-stabilization edits, but they change different tests for different behaviors (compile/pipeline setup vs attention-slicing in the main Stable Diffusion tests). This is not the same underlying bug or a single mergeable fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 167, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4475-2", + "nodes": [ + "pull_request:4475", + "pull_request:4493" + ], + "soft_pairs": [ + "pull_request:4475|pull_request:4493" + ], + "prepared_review_unit_hash": "4e28f819efa5b3c60609118a3ab33b3d233077490c31058a9a464cd3ee2115d5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4231, + "estimated_input_tokens": 1058, + "estimated_eval_tokens": 2372 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4231, + "estimated_input_tokens": 1058, + "estimated_eval_tokens": 2372 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests implement the same exact change in the same file: log `global_step` to TensorBoard instead of `epoch` in DreamBooth validation. PR #4493 is the better canonical PR because it is merged; #4475 appears to be the unmerged duplicate/predecessor.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4493 is the merged version of the identical DreamBooth logging fix, so it is the best canonical PR for this change.", + "best_issue_reason": null, + "best_pr_reason": "PR #4493 is the best overall PR because it is merged and contains the same concrete code-path fix as #4475.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4475", + "right": "pull_request:4493", + "accept": true, + "reason": "Same title, same file, and the diff shows the same edit: replace `epoch` with `global_step` in TensorBoard logging for DreamBooth validation. These are the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 168, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4485-2", + "nodes": [ + "pull_request:4485", + "pull_request:4486" + ], + "soft_pairs": [ + "pull_request:4485|pull_request:4486" + ], + "prepared_review_unit_hash": "b7dfbf9daee6150e8433aee4e27a43097b97a2cf9db0ab2b6d34e114513c983e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4187, + "estimated_input_tokens": 1047, + "estimated_eval_tokens": 2350 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4187, + "estimated_input_tokens": 1047, + "estimated_eval_tokens": 2350 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs patch the same DreamBooth LoRA SDXL training path with the same fix set: adjust dataloader handling for batch sizing and drop_last. They look like duplicate change proposals rather than distinct PRs.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4486 has the clearer, more specific title and the same code changes as #4485, so it is the better canonical PR for this duplicate pair.", + "best_issue_reason": null, + "best_pr_reason": "PR #4486 is the best representative because its title describes the concrete bug/fix more precisely, while the diff overlaps almost entirely with #4485.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4485", + "right": "pull_request:4486", + "accept": true, + "reason": "Same file, same training code path, and the diffs implement the same batch-size/drop_last fix; these appear to be the same underlying change and could be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 169, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4544-2", + "nodes": [ + "pull_request:4544", + "pull_request:4590" + ], + "soft_pairs": [ + "pull_request:4544|pull_request:4590" + ], + "prepared_review_unit_hash": "77cd1c9d60847118b213f984686aa2782da2c9c9eb579a81a229940a10664ded", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2962, + "estimated_input_tokens": 741, + "estimated_eval_tokens": 1738 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2962, + "estimated_input_tokens": 741, + "estimated_eval_tokens": 1738 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are the same small fix to `scripts/convert_original_stable_diffusion_to_diffusers.py` for `pipeline_class_name`; one PR was merged and the other is an earlier duplicate/unmerged copy.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4590 is the merged implementation of the exact same change, so it is the best canonical PR for this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #4590 is preferable because it is merged and matches PR #4544\u2019s diff and title exactly.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4544", + "right": "pull_request:4590", + "accept": true, + "reason": "Same title, same file, and identical diff; these are clearly the same underlying code change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 170, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4558-2", + "nodes": [ + "pull_request:4558", + "pull_request:4603" + ], + "soft_pairs": [ + "pull_request:4558|pull_request:4603" + ], + "prepared_review_unit_hash": "73c6676d38ccd9849e07c716a7a5518edbeb44102916e2b65c03d07a11a2bb99", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4460, + "estimated_input_tokens": 1115, + "estimated_eval_tokens": 2486 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4460, + "estimated_input_tokens": 1115, + "estimated_eval_tokens": 2486 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs fix the same underlying bug: an incorrect default `guidance_rescale` value of `0.0` instead of `0.7`. PR #4558 is the broader, more canonical fix across multiple pipelines; PR #4603 is a narrower stable-diffusion-only variant of the same change.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4558 is the best canonical PR because it addresses the bug across all affected pipelines, includes a test, and explicitly links the tracking issue.", + "best_issue_reason": null, + "best_pr_reason": "PR #4558 is the strongest representative of the cluster: it fixes the same parameter-default bug in the shared code path and covers the widest affected surface.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4558", + "right": "pull_request:4603", + "accept": true, + "reason": "Same concrete bug and same fix pattern for `guidance_rescale`; #4603 is a narrower subset of #4558 rather than a different change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs change `guidance_rescale` from `0.0` to `0.7`, and #4558 clearly spans multiple related pipelines while #4603 is a narrower single-file change. The soft-edge accept is conservative because #4603 appears to be a subset of the same bugfix rather than a different change." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 171, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-471-8", + "nodes": [ + "pull_request:471", + "pull_request:611", + "pull_request:618", + "pull_request:619", + "pull_request:629", + "pull_request:631", + "pull_request:680", + "pull_request:683" + ], + "soft_pairs": [ + "pull_request:471|pull_request:683", + "pull_request:611|pull_request:683", + "pull_request:611|pull_request:619", + "pull_request:611|pull_request:629", + "pull_request:618|pull_request:629", + "pull_request:619|pull_request:631", + "pull_request:619|pull_request:629", + "pull_request:629|pull_request:631", + "pull_request:631|pull_request:680" + ], + "prepared_review_unit_hash": "3ae356ea11a13d675c33921aa6949010e95712117ef9ed939bb0c230464b110d", + "component_budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 9, + "serialized_chars": 17922, + "estimated_input_tokens": 4481, + "estimated_eval_tokens": 9218 + }, + "budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 9, + "serialized_chars": 17922, + "estimated_input_tokens": 4481, + "estimated_eval_tokens": 9218 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is mostly unrelated docs/readability cleanup PRs, plus one small code URL fix. Despite similar wording, the PRs change different files and different specific text or markup, so they are not duplicates of the same underlying change.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #629 is the broadest representative of the cluster: it is a multi-file readability/docs cleanup and captures the main theme better than the narrower single-file docs fixes.", + "best_issue_reason": null, + "best_pr_reason": "PR #629 is the best single anchor for this cluster because it spans several files and reflects the shared readability-fix motif, while the other PRs are narrower and not the same change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:471", + "right": "pull_request:683", + "accept": false, + "reason": "Both are docs table-formatting fixes, but they touch different pages and different tables; they are separate cleanup changes." + }, + { + "left": "pull_request:611", + "right": "pull_request:683", + "accept": false, + "reason": "One fixes a copyright spelling typo in scheduler files; the other fixes a docs table. Same general docs-cleanup vibe, but not the same change." + }, + { + "left": "pull_request:611", + "right": "pull_request:619", + "accept": false, + "reason": "Different targets and different edits: a copyright notice typo versus general markdown readability/table cleanup." + }, + { + "left": "pull_request:611", + "right": "pull_request:629", + "accept": false, + "reason": "Both are minor text/readability fixes, but they affect different files and unrelated wording; not one concrete bug or change." + }, + { + "left": "pull_request:618", + "right": "pull_request:629", + "accept": false, + "reason": "These are separate docs fixes in different files; the first corrects a reference, the second is broader prose cleanup." + }, + { + "left": "pull_request:619", + "right": "pull_request:631", + "accept": false, + "reason": "Both are readability-oriented, but one is docs markdown cleanup and the other is a Python utility refactor; they do not fix the same underlying issue." + }, + { + "left": "pull_request:619", + "right": "pull_request:629", + "accept": false, + "reason": "Overlapping theme only: both improve markdown/text readability, but they edit different files and different passages." + }, + { + "left": "pull_request:629", + "right": "pull_request:631", + "accept": false, + "reason": "These are separate readability refactors in different code areas; they are not the same concrete change and would not be merged as one PR." + }, + { + "left": "pull_request:631", + "right": "pull_request:680", + "accept": false, + "reason": "One is an internal refactor/readability cleanup; the other changes a model config URL. Different code-paths and purposes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 172, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4776-2", + "nodes": [ + "pull_request:4776", + "pull_request:6988" + ], + "soft_pairs": [ + "pull_request:4776|pull_request:6988" + ], + "prepared_review_unit_hash": "dd88bdd230591495f195333a5bd8ce5fc42f3312372e9385b1e01c7e38c4e88e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4206, + "estimated_input_tokens": 1052, + "estimated_eval_tokens": 2360 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4206, + "estimated_input_tokens": 1052, + "estimated_eval_tokens": 2360 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two pull requests are not duplicates: one adds denoising-end logic to the SDXL ControlNet pipeline, while the other only updates the Stable Diffusion inpaint pipeline documentation/example string. They touch different code paths and have different purposes.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4776 is the stronger canonical PR because it makes a concrete functional change in the ControlNet SDXL pipeline, whereas PR #6988 is a docs/example update without an apparent bug fix or shared code-path change.", + "best_issue_reason": null, + "best_pr_reason": "PR #4776 is the best PR overall since it contains the substantive implementation change and is more representative of a meaningful merge candidate than the documentation-only update in PR #6988.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4776", + "right": "pull_request:6988", + "accept": false, + "reason": "Different pipelines and different change types: #4776 adds denoising_end handling to controlnet_sd_xl.py, while #6988 only updates inpaint pipeline example/docs. They do not look like the same underlying bug or mergeable fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 173, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4810-2", + "nodes": [ + "pull_request:4810", + "pull_request:4891" + ], + "soft_pairs": [ + "pull_request:4810|pull_request:4891" + ], + "prepared_review_unit_hash": "3739a69fed67d7de884b5bade2c8a4490b97b677adbcdb981178c72ec43d0155", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5439, + "estimated_input_tokens": 1360, + "estimated_eval_tokens": 2976 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5439, + "estimated_input_tokens": 1360, + "estimated_eval_tokens": 2976 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two pull requests appear to be duplicates of the same bug fix: image-to-latent sampling failed for autoencoders that return latents directly instead of a latent distribution. PR 4891 is the more complete/code-focused version, while PR 4810 appears to be an earlier or broader variant of the same fix.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 4891 is the stronger canonical candidate because it contains the concrete pipeline code changes and tests that directly address the latent-retrieval bug across img2img/inpaint paths.", + "best_issue_reason": null, + "best_pr_reason": "PR 4891 is the best overall representative of the fix: it implements the actual code-path correction, covers multiple affected pipelines, and includes tests.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4810", + "right": "pull_request:4891", + "accept": true, + "reason": "Same title and same underlying bug: sampling image latents fails when the encoder returns latents directly. The second PR shows the concrete implementation of that fix, so these are the same change family and can be treated as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 174, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4903-2", + "nodes": [ + "pull_request:4903", + "pull_request:4994" + ], + "soft_pairs": [ + "pull_request:4903|pull_request:4994" + ], + "prepared_review_unit_hash": "dc6c52dae1ddab1eee12a3c3710907a99361ec9573d0bc220f9080c3cfef1417", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4680, + "estimated_input_tokens": 1170, + "estimated_eval_tokens": 2596 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4680, + "estimated_input_tokens": 1170, + "estimated_eval_tokens": 2596 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs both touch loaders.py, but they address different problems: PR #4903 relaxes textual inversion loading for Stable Diffusion XL pipelines, while PR #4994 optimizes LoRA loading. They are not the same underlying change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR for deduping: #4903 is an API/behavior change for textual inversion loading, and #4994 is a performance refactor for LoRA loading; they share a file but not the same bug or fix.", + "best_issue_reason": null, + "best_pr_reason": "#4994 is the better representative only in the sense that it is a more self-contained optimization PR; however, it is not a duplicate of #4903 and should not be merged with it.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4903", + "right": "pull_request:4994", + "accept": false, + "reason": "Reject: the PRs target different code paths and different goals\u2014textual inversion loading vs. LoRA loading optimization. Shared edits to loaders.py are not enough to indicate the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 175, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4917-2", + "nodes": [ + "pull_request:4917", + "pull_request:5528" + ], + "soft_pairs": [ + "pull_request:4917|pull_request:5528" + ], + "prepared_review_unit_hash": "6af7e5a7a17f2fd5032c1c8d28ae454bec453e6acd8c55300f623be3ce100d82", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2674, + "estimated_input_tokens": 669, + "estimated_eval_tokens": 1594 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2674, + "estimated_input_tokens": 669, + "estimated_eval_tokens": 1594 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two separate bug-fix PRs in `src/diffusers/loaders.py` that correct the same API misuse pattern, but for different model loaders (`vae` vs `controlnet`). They are related stylistically, not duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4917 is the cleaner canonical representative: it is the earlier, more generic fix for passing `dtype` correctly in `from_single_file`, while PR #5528 is a later, model-specific application of the same pattern to ControlNet.", + "best_issue_reason": null, + "best_pr_reason": "PR #4917 is the best single PR in the cluster because it addresses the broader underlying loader bug and is phrased as the general bug fix rather than a narrow instance.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4917", + "right": "pull_request:5528", + "accept": false, + "reason": "Both PRs change the same file and fix a similar `to(dtype=...)` typo, but they target different code paths and models (`vae` in one loader path vs `controlnet` in another). They are not the same concrete change and would not plausibly merge into one PR as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 176, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4938-3", + "nodes": [ + "pull_request:4938", + "pull_request:5020", + "pull_request:5210" + ], + "soft_pairs": [ + "pull_request:4938|pull_request:5020", + "pull_request:4938|pull_request:5210", + "pull_request:5020|pull_request:5210" + ], + "prepared_review_unit_hash": "12052854ea4e525d4d050b42385fc17a70cf6237d30d79fc6a34df50035aacf3", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6810, + "estimated_input_tokens": 1703, + "estimated_eval_tokens": 3662 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6810, + "estimated_input_tokens": 1703, + "estimated_eval_tokens": 3662 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Three merged docs PRs in the same product area, but they are distinct guide rewrites: text-to-image, image-to-image, and inpaint docs. They do not appear to be duplicate fixes or the same mergeable change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is a clear duplicate of the others; each targets a different documentation page and distinct guide update.", + "best_issue_reason": null, + "best_pr_reason": "PR #5020 is the strongest standalone representative because it is a substantial, self-contained guide overhaul for image-to-image, but it is not a duplicate of the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4938", + "right": "pull_request:5020", + "accept": false, + "reason": "Different documentation changes: text-to-image guide rewrite vs image-to-image guide rewrite. Same broad area, but not the same underlying change." + }, + { + "left": "pull_request:4938", + "right": "pull_request:5210", + "accept": false, + "reason": "Text-to-image guide and inpaint docs update are separate documentation efforts with different targets and content." + }, + { + "left": "pull_request:5020", + "right": "pull_request:5210", + "accept": false, + "reason": "They both touch img2img wording, but #5210 is primarily an inpaint docs update; the overlap is incidental, not the same concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 177, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-4995-3", + "nodes": [ + "pull_request:4995", + "pull_request:4997", + "pull_request:4998" + ], + "soft_pairs": [ + "pull_request:4995|pull_request:4997", + "pull_request:4997|pull_request:4998" + ], + "prepared_review_unit_hash": "215bf76ac5ea62f8f2684ceb9791abcc74cb38d1e8b0b88334f0a30ff7ea9fde", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7812, + "estimated_input_tokens": 1953, + "estimated_eval_tokens": 4162 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7812, + "estimated_input_tokens": 1953, + "estimated_eval_tokens": 4162 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Three PRs form a loose Stable Diffusion offloading/test cluster, but only one is a real code fix. PR #4998 is the actual safety-checker CPU offload change across pipelines; #4997 is a test adjustment around sequential offloading; #4995 is an unrelated image-variation test tweak.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #4998 is the best representative because it contains the substantive pipeline code change for the offload/safety-checker behavior, and it applies across multiple related pipelines.", + "best_issue_reason": null, + "best_pr_reason": "PR #4998 is the strongest standalone fix in the cluster: it directly changes the pipeline implementation rather than only adjusting tests, and its scope matches the underlying offload bug more closely than the other PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:4995", + "right": "pull_request:4997", + "accept": false, + "reason": "Both are test-only changes, but they target different behaviors: image variation slow-test setup vs sequential CPU offloading. They do not fix the same concrete bug and would not naturally merge into one PR." + }, + { + "left": "pull_request:4997", + "right": "pull_request:4998", + "accept": false, + "reason": "They share the broad offloading/safety-checker theme, but #4998 fixes pipeline implementation across many files while #4997 only tweaks a test by disabling safety_checker. Different artifacts, different code paths, not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 178, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5106-2", + "nodes": [ + "pull_request:5106", + "pull_request:5107" + ], + "soft_pairs": [ + "pull_request:5106|pull_request:5107" + ], + "prepared_review_unit_hash": "687f0b855a38b067c23d407b21bcada0ed6922e2b5d939f74fcccf625923e95e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4417, + "estimated_input_tokens": 1105, + "estimated_eval_tokens": 2466 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4417, + "estimated_input_tokens": 1105, + "estimated_eval_tokens": 2466 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related by theme (Min-SNR / SNR-gamma training tweaks) but they fix different training scripts and different code paths, so they are not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical PR: 5106 is broader across several text-to-image/controlnet variants, while 5107 is a separate DreamBooth-specific implementation.", + "best_issue_reason": null, + "best_pr_reason": "PR 5106 is the best representative of the cluster theme because it spans multiple example trainers and directly patches the v_prediction SNR weighting behavior.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5106", + "right": "pull_request:5107", + "accept": false, + "reason": "Both are about SNR/min-SNR training, but 5106 adds a v_prediction SNR-floor tweak in several text-to-image/controlnet trainers, while 5107 introduces a new DreamBooth-specific compute_snr/min-SNR implementation. Different concrete code paths and not plausibly one merged PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 179, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5148-2", + "nodes": [ + "pull_request:5148", + "pull_request:5235" + ], + "soft_pairs": [ + "pull_request:5148|pull_request:5235" + ], + "prepared_review_unit_hash": "f89181d504779e2588ce21593611211510c4a1243cf08eeeb3421873c8eb22a9", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4829, + "estimated_input_tokens": 1208, + "estimated_eval_tokens": 2672 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4829, + "estimated_input_tokens": 1208, + "estimated_eval_tokens": 2672 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two PRs both relate to compile-test infrastructure, but they fix different layers: PR #5148 updates CI/workflows and test selection, while PR #5235 adjusts the compile CUDA Docker image and one test setup path. They are related, not duplicates.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5148 is the broader and more central compile-test fix, updating the build/push test workflows and multiple test files rather than only the Docker image setup.", + "best_issue_reason": null, + "best_pr_reason": "PR #5148 is the best representative of the cluster because it addresses the CI/test-running side of compile support and has the wider scope of changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5148", + "right": "pull_request:5235", + "accept": false, + "reason": "Both mention compile tests, but #5148 changes workflow/test exclusions and adds the compile image to CI, while #5235 fixes the Dockerfile/Python version and one test file. They do not appear to fix the same concrete bug or be mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 180, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5174-2", + "nodes": [ + "pull_request:5174", + "pull_request:5183" + ], + "soft_pairs": [ + "pull_request:5174|pull_request:5183" + ], + "prepared_review_unit_hash": "7b8cdabbf076d4efe448fe5eb6c84aae91c00eefdc7d12203b98737ddc7d8902", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4483, + "estimated_input_tokens": 1121, + "estimated_eval_tokens": 2498 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4483, + "estimated_input_tokens": 1121, + "estimated_eval_tokens": 2498 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two different CPU offload fixes: one is BLIP Diffusion\u2013specific offload sequencing/device handling, the other is a shared pipeline_utils fix for preserving the offload GPU index. They are related by theme but not the same underlying change.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: PR 5174 fixes BLIP Diffusion offload behavior in a model-specific pipeline, while PR 5183 fixes shared offload GPU-ID handling in pipeline_utils; they address different code paths and bugs.", + "best_issue_reason": null, + "best_pr_reason": "PR 5183 is the broader representative of the cluster because it changes the shared offload utility used across pipelines, whereas PR 5174 is a narrower pipeline-specific fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5174", + "right": "pull_request:5183", + "accept": false, + "reason": "Different fixes: 5174 adds BLIP Diffusion-specific offload sequencing and device plumbing, while 5183 changes the shared offload GPU-ID retention logic in pipeline_utils. Related area, but not the same bug or mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 181, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5214-2", + "nodes": [ + "pull_request:5214", + "pull_request:5305" + ], + "soft_pairs": [ + "pull_request:5214|pull_request:5305" + ], + "prepared_review_unit_hash": "b9ef5495d33440806b52eb7476ead00d04307c5c6462eff22e1eefadddf2d8b0", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6149, + "estimated_input_tokens": 1538, + "estimated_eval_tokens": 3332 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6149, + "estimated_input_tokens": 1538, + "estimated_eval_tokens": 3332 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs target the same GLIGEN/EulerAncestralDiscreteScheduler 0-d tensor iteration bug, but 5305 is the cleaner, merged fix while 5214 is a broader, noisier precursor. I\u2019d cluster them together as duplicates of the same underlying change.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5305 is the merged, focused fix for the exact in-painting/0-d tensor GLIGEN bug, with targeted pipeline code and tests. PR 5214 appears to be an earlier, much broader version with extra workflow/docs/example churn beyond the core fix.", + "best_issue_reason": null, + "best_pr_reason": "5305 is the best representative PR: it directly addresses the concrete bug, is merged, and its scope is tightly aligned with the actual code-path problem.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5214", + "right": "pull_request:5305", + "accept": true, + "reason": "Same bug, same title/issue target, and overlapping GLIGEN pipeline files indicate the same underlying fix. Despite 5214\u2019s extra unrelated changes, the core code-path problem matches 5305 closely enough to treat them as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 182, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5243-2", + "nodes": [ + "pull_request:5243", + "pull_request:5255" + ], + "soft_pairs": [ + "pull_request:5243|pull_request:5255" + ], + "prepared_review_unit_hash": "7cd3fc526c44d400242acfeb7212fa825e3566bf3331dfbc645d6fa183e00e18", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4675, + "estimated_input_tokens": 1169, + "estimated_eval_tokens": 2594 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4675, + "estimated_input_tokens": 1169, + "estimated_eval_tokens": 2594 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests implement the same Wuerstchen documentation/default-value fix in the same files; PR #5255 is the merged, later version and is the best canonical representative.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5255 is the merged PR, and its diff matches PR #5243 closely across the same Wuerstchen pipeline files, indicating it is the better canonical representative of this fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #5255 is the strongest overall representative because it was merged and appears to contain the same concrete change as #5243, making it the most complete and authoritative instance.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5243", + "right": "pull_request:5255", + "accept": true, + "reason": "Same underlying fix: identical touched Wuerstchen pipeline files and nearly identical diff preview changing documented defaults. The later merged PR is effectively the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 183, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-527-2", + "nodes": [ + "pull_request:527", + "pull_request:603" + ], + "soft_pairs": [ + "pull_request:527|pull_request:603" + ], + "prepared_review_unit_hash": "4ab1d9182d04dd575181c1dbaa7e165eff6c71a03de191ea1e44c9fe7297d1ae", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4421, + "estimated_input_tokens": 1106, + "estimated_eval_tokens": 2468 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4421, + "estimated_input_tokens": 1106, + "estimated_eval_tokens": 2468 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are related to Flax `from_pretrained`, but they address different changes: PR #527 adds new `from_pt` loading support and supporting utilities, while PR #603 is a narrow bug fix for the PyTorch-weights existence check in that code path. They are not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #527 is the broader, foundational change introducing `from_pt` support in Flax `from_pretrained` along with new conversion utilities and model updates. PR #603 is a later targeted fix in that area, not the main change.", + "best_issue_reason": null, + "best_pr_reason": "PR #527 is the best representative for the cluster because it defines the underlying feature area and the main code path that PR #603 later patches.", + "soft_edge_verdicts": [ + { + "left": "pull_request:527", + "right": "pull_request:603", + "accept": false, + "reason": "Same subsystem, but not the same concrete change: #527 adds `from_pt` support and related conversion logic, while #603 only fixes a file-check typo for PyTorch weights in `from_pretrained`. They could not plausibly be merged as one duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 184, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5278-2", + "nodes": [ + "pull_request:5278", + "pull_request:5279" + ], + "soft_pairs": [ + "pull_request:5278|pull_request:5279" + ], + "prepared_review_unit_hash": "1731c6493ea034b78e05e67506a1b8e26676a5e7de624362873e292b9c1ad0fe", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4400, + "estimated_input_tokens": 1100, + "estimated_eval_tokens": 2456 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4400, + "estimated_input_tokens": 1100, + "estimated_eval_tokens": 2456 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are similar DeepSpeed-related controlnet SDXL PRs, but they do not look like the same underlying change. PR 5278 mostly adjusts the SDXL controlnet example/readme and removes an xformers validation branch, while PR 5279 keeps the xformers path and adds checkpoint/validation-related fixes across multiple files.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5279 is the better canonical PR because it is the broader, more discussed change and includes the main code-path fixes across the training examples plus dependency updates.", + "best_issue_reason": null, + "best_pr_reason": "PR 5279 is the best representative for the cluster since it has the larger scope and review activity, and its changes are more central to the DeepSpeed compatibility/fix theme than 5278's mostly example/readme adjustment.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5278", + "right": "pull_request:5279", + "accept": false, + "reason": "They overlap in title and one shared file, but the diffs target different fixes: 5278 changes the controlnet example/readme and removes xformers validation handling, while 5279 restores xformers support and adds checkpoint/negative-prompt changes plus other files. Not the same concrete bug/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 185, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5288-3", + "nodes": [ + "pull_request:5288", + "pull_request:5366", + "pull_request:5370" + ], + "soft_pairs": [ + "pull_request:5366|pull_request:5370", + "pull_request:5288|pull_request:5366", + "pull_request:5288|pull_request:5370" + ], + "prepared_review_unit_hash": "f6e546aeadad56660f552fe9626c8c66e3dc9a4d40d97fc653602d6130f04ed3", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6749, + "estimated_input_tokens": 1688, + "estimated_eval_tokens": 3632 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6749, + "estimated_input_tokens": 1688, + "estimated_eval_tokens": 3632 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three items are PRs for the same tracked Stable Diffusion fast-test size reduction effort, but only PR #5370 contains a merged, concrete implementation. PR #5288 is just a TODO/commentary change, and PR #5366 is an alternative/unmerged configuration edit that differs materially from #5370.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5370 is the best canonical PR because it is merged and makes the substantive, concrete parameter reductions to the StableDiffusion test components. It represents the implemented fix rather than a note or alternate draft.", + "best_issue_reason": null, + "best_pr_reason": "PR #5370 is the strongest overall representative: it is merged, directly updates the dummy UNet configuration used by the fast tests, and reflects the finalized change set for the shared target issue.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5366", + "right": "pull_request:5370", + "accept": false, + "reason": "Both touch the same test file and issue, but the actual UNet dummy-component configurations are different enough to look like competing alternative implementations rather than the same concrete patch." + }, + { + "left": "pull_request:5288", + "right": "pull_request:5366", + "accept": false, + "reason": "#5288 is a TODO/comment-only precursor, while #5366 is a substantive config change with different model settings; they are not the same concrete code change." + }, + { + "left": "pull_request:5288", + "right": "pull_request:5370", + "accept": false, + "reason": "#5288 only adds a note about making the fast test smaller, whereas #5370 implements the actual parameter changes, so they are not duplicates of the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 186, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5293-2", + "nodes": [ + "pull_request:5293", + "pull_request:5389" + ], + "soft_pairs": [ + "pull_request:5293|pull_request:5389" + ], + "prepared_review_unit_hash": "b40008559b1bd16405fffa1c7ac58684cde46ef257a6a0acc0543537138eb7a5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4039, + "estimated_input_tokens": 1010, + "estimated_eval_tokens": 2276 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4039, + "estimated_input_tokens": 1010, + "estimated_eval_tokens": 2276 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are merged documentation-only PRs in the same file, but they add docstrings for different classes and do not look like the same underlying change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5389 is the more representative docstring-only change in this cluster; #5293 is a separate, narrower docstring addition for a different class.", + "best_issue_reason": null, + "best_pr_reason": "PR #5389 is the better cluster representative because it is the broader, cleaner documentation update and not tied to a specific duplicate-fix pattern.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5293", + "right": "pull_request:5389", + "accept": false, + "reason": "Both PRs only add class docstrings in the same file, but they document different classes and could not plausibly be merged as one duplicate fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 187, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5297-3", + "nodes": [ + "pull_request:5297", + "pull_request:6780", + "pull_request:8603" + ], + "soft_pairs": [ + "pull_request:5297|pull_request:6780", + "pull_request:6780|pull_request:8603" + ], + "prepared_review_unit_hash": "7c815a68c4a131e94809a21fe4609e11192a38584696ae7343ffd13963bdd1bd", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7016, + "estimated_input_tokens": 1754, + "estimated_eval_tokens": 3764 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7016, + "estimated_input_tokens": 1754, + "estimated_eval_tokens": 3764 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three separate dependency-pin PRs for different packages and different libraries (torch vs numpy). They are related in theme but not the same underlying change, so the soft matches should be rejected.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6780 is the broadest and most central dependency-pin change, updating torch-related pins across multiple CI Dockerfiles plus setup metadata; if one PR must represent the cluster, this is the best candidate.", + "best_issue_reason": null, + "best_pr_reason": "PR #6780 has the widest scope and most general applicability, so it is the strongest representative of the set even though the PRs are not duplicates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5297", + "right": "pull_request:6780", + "accept": false, + "reason": "Both involve torch pinning, but they target different containers and different fixes: #5297 pins versions in one pytorch-cuda image, while #6780 applies a broader torch<2.2.0 constraint across multiple test runner images and package metadata. Not the same concrete change." + }, + { + "left": "pull_request:6780", + "right": "pull_request:8603", + "accept": false, + "reason": "These change different dependencies and failure modes: #6780 is about torch/torchvision/torchaudio compatibility, while #8603 temporarily pins numpy in CI Dockerfiles. Same general maintenance theme, but not the same bug or mergeable change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 188, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5322-2", + "nodes": [ + "pull_request:5322", + "pull_request:5590" + ], + "soft_pairs": [ + "pull_request:5322|pull_request:5590" + ], + "prepared_review_unit_hash": "99854b0c76ff215b8730f87c9ed602cae1e3b194c1eb03e4fd10265954be13ae", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4186, + "estimated_input_tokens": 1047, + "estimated_eval_tokens": 2350 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4186, + "estimated_input_tokens": 1047, + "estimated_eval_tokens": 2350 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are merged documentation PRs against the inpaint guide, but they address different additions: one adds a mask-creation helper section, the other adds a comparison of regular vs inpaint checkpoints. They are related by file, not the same change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5590 is the more substantial and self-contained guide update, adding a concrete comparison and examples for using regular checkpoints with inpainting.", + "best_issue_reason": null, + "best_pr_reason": "PR 5590 is the best representative of the cluster because it makes the larger, clearer doc enhancement and is more likely to stand alone as the canonical inpaint-guide improvement.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5322", + "right": "pull_request:5590", + "accept": false, + "reason": "Different underlying doc changes: 5322 adds a mask-image creation section and iframe, while 5590 adds a new comparison section plus code examples for regular vs inpaint checkpoints. Shared file alone is not enough to treat them as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 189, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5340-2", + "nodes": [ + "pull_request:5340", + "pull_request:5355" + ], + "soft_pairs": [ + "pull_request:5340|pull_request:5355" + ], + "prepared_review_unit_hash": "291803bd61417968e28287b44f073efe481d2d7d1d2579f1edf75b57556fb7fc", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4324, + "estimated_input_tokens": 1081, + "estimated_eval_tokens": 2418 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4324, + "estimated_input_tokens": 1081, + "estimated_eval_tokens": 2418 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are both about multi-GPU behavior, but they fix different concrete problems in different example scripts: one is checkpoint/main-process handling in unconditional image generation, the other is DDP find_unused_parameters in SDXL LoRA training. They are not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5355 is the better canonical representative because it targets a specific multi-GPU runtime error, has an explicit issue link, and touches the exact training scripts affected by that bug.", + "best_issue_reason": null, + "best_pr_reason": "PR 5355 is the strongest overall representative for the cluster because it addresses a clearly stated failure mode with a focused code change and broader applicability across two related scripts.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5340", + "right": "pull_request:5355", + "accept": false, + "reason": "Different bugs and code paths: 5340 changes checkpoint/main-process handling in unconditional image generation, while 5355 adds DDP kwargs for find_unused_parameters in SDXL LoRA scripts." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 190, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5347-2", + "nodes": [ + "pull_request:5347", + "pull_request:5349" + ], + "soft_pairs": [ + "pull_request:5347|pull_request:5349" + ], + "prepared_review_unit_hash": "a4510e958961524200475710839fac2adf7a001eb653d8ce565fd54846f3e203", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5211, + "estimated_input_tokens": 1303, + "estimated_eval_tokens": 2862 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5211, + "estimated_input_tokens": 1303, + "estimated_eval_tokens": 2862 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two pull requests are effectively duplicates: both add the same xformers CUDA test runner and supporting Docker/workflow changes. The merged PR 5349 is the better canonical PR candidate.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5349 is the stronger canonical choice because it is the merged version of the same xformers test-runner change, with the same files and workflow intent as 5347.", + "best_issue_reason": null, + "best_pr_reason": "PR 5349 is best overall because it was actually merged and represents the final accepted implementation of the shared xformers runner change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5347", + "right": "pull_request:5349", + "accept": true, + "reason": "Same underlying change: both PRs add the dedicated xformers CUDA test runner, touch the same workflow/Docker files, and the diff previews are nearly identical. They could plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 191, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5426-2", + "nodes": [ + "pull_request:5426", + "pull_request:5597" + ], + "soft_pairs": [ + "pull_request:5426|pull_request:5597" + ], + "prepared_review_unit_hash": "7e573c30149e5007583d443526feac9be22ff0c73f9215f445bfa93b687e9328", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3943, + "estimated_input_tokens": 986, + "estimated_eval_tokens": 2228 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3943, + "estimated_input_tokens": 986, + "estimated_eval_tokens": 2228 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate Docker image updates in different paths: one for slow CUDA test images and one for the xformers CUDA image. They share a broad CUDA-upgrade theme but not the same underlying change or code path.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5426 is the better representative because it is the broader CUDA base-image update and touches both slow-test Dockerfiles, making it the more central change in this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #5426 is the best overall candidate in the cluster: it is the more general infrastructure update, while #5597 is a narrower xformers-specific image tweak with an additional torch/torchvision unpinning.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5426", + "right": "pull_request:5597", + "accept": false, + "reason": "Different Dockerfiles and different purposes: #5426 updates base images for slow CUDA tests, while #5597 updates the xformers CUDA image and changes package pinning. They are related only at a high level, not the same concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 192, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5464-4", + "nodes": [ + "pull_request:5464", + "pull_request:5582", + "pull_request:5810", + "pull_request:7340" + ], + "soft_pairs": [ + "pull_request:5464|pull_request:5582", + "pull_request:5464|pull_request:5810", + "pull_request:5464|pull_request:7340", + "pull_request:5582|pull_request:5810", + "pull_request:5582|pull_request:7340", + "pull_request:5810|pull_request:7340" + ], + "prepared_review_unit_hash": "7e62c4f245e5ed48aac05adc1044f4b9edc6309079ed8faecbe86a630789f150", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 10144, + "estimated_input_tokens": 2536, + "estimated_eval_tokens": 5328 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 10144, + "estimated_input_tokens": 2536, + "estimated_eval_tokens": 5328 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These pull requests are all unrelated despite similar \u201cdeleted\u201d titles and soft-similarity signals: three are trivial documentation/whitespace cleanup PRs, while one is a scheduler test adjustment for LMSDiscreteScheduler. They do not represent the same underlying change and should not be clustered as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR is a true duplicate match. If one representative is needed, PR #7340 is the best substantive code-change example because it fixes a concrete test-path behavior; the others are mostly docs or formatting cleanups.", + "best_issue_reason": null, + "best_pr_reason": "PR #7340 is the strongest standalone PR in the set because it changes test logic for a specific scheduler code path. The other PRs are low-signal maintenance edits and are not good representatives of the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5464", + "right": "pull_request:5582", + "accept": false, + "reason": "Different changes: alt-diffusion pipeline whitespace vs. issue/PR template and repo metadata/docs edits. No shared bug or fix path." + }, + { + "left": "pull_request:5464", + "right": "pull_request:5810", + "accept": false, + "reason": "Different files and intent: pipeline formatting cleanup vs. README wording/typo fixes. Not the same underlying change." + }, + { + "left": "pull_request:5464", + "right": "pull_request:7340", + "accept": false, + "reason": "Unrelated code paths: pipeline whitespace cleanup vs. scheduler test behavior for LMSDiscreteScheduler. Not mergeable as one fix." + }, + { + "left": "pull_request:5582", + "right": "pull_request:5810", + "accept": false, + "reason": "Both are documentation/repo text changes, but they target different templates/content and do not fix the same concrete problem." + }, + { + "left": "pull_request:5582", + "right": "pull_request:7340", + "accept": false, + "reason": "Repository docs/config cleanup vs. scheduler test logic fix. No shared underlying bug or change." + }, + { + "left": "pull_request:5810", + "right": "pull_request:7340", + "accept": false, + "reason": "README wording cleanup is unrelated to the scheduler test adjustment; they affect different subsystems and purposes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 193, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5486-3", + "nodes": [ + "pull_request:5486", + "pull_request:5717", + "pull_request:7065" + ], + "soft_pairs": [ + "pull_request:5486|pull_request:5717", + "pull_request:5486|pull_request:7065" + ], + "prepared_review_unit_hash": "2f6e7f796e01523e0c844d44cdeef97e472266bd1b468231db1b6c11ad79b062", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6053, + "estimated_input_tokens": 1514, + "estimated_eval_tokens": 3284 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6053, + "estimated_input_tokens": 1514, + "estimated_eval_tokens": 3284 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three unrelated merged PRs: a docs typo fix, a ControlNet example forward-signature compatibility fix, and a TensorRT pipeline bugfix for guidance_scale assignment. They do not look like duplicates or the same underlying change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 7065 is the strongest canonical PR candidate because it fixes a concrete runtime bug in the TensorRT pipelines across two files, with a clear code-path impact.", + "best_issue_reason": null, + "best_pr_reason": "PR 7065 is the best representative of a substantive bugfix; the other PRs are narrower and/or documentation/example maintenance rather than the same underlying issue.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5486", + "right": "pull_request:5717", + "accept": false, + "reason": "Different targets and problems: docs typo cleanup vs example forward-signature compatibility fix. Same broad ControlNet area, but not the same bug or mergeable into one change." + }, + { + "left": "pull_request:5486", + "right": "pull_request:7065", + "accept": false, + "reason": "One is a documentation typo fix, the other is a TensorRT runtime bugfix in pipeline code. No shared underlying defect." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 194, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5514-2", + "nodes": [ + "pull_request:5514", + "pull_request:5659" + ], + "soft_pairs": [ + "pull_request:5514|pull_request:5659" + ], + "prepared_review_unit_hash": "6d22d8cddcbe4c31316eba3baa3e4b9a5d938b5389ea386eef30d6be2398410c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3925, + "estimated_input_tokens": 982, + "estimated_eval_tokens": 2220 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3925, + "estimated_input_tokens": 982, + "estimated_eval_tokens": 2220 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two unrelated pull requests: one changes the community LCM example constructor/default scheduler behavior, while the other fixes custom pipeline loading so Hub repo revisions are honored. They do not look like the same underlying bug or mergeable change.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5659 is the stronger representative because it is merged and fixes a concrete code-path bug in `pipeline_utils.py` around `hub_revision` vs `revision` when loading custom pipelines.", + "best_issue_reason": null, + "best_pr_reason": "PR #5659 is the best fit overall: it is merged, narrowly scoped, and clearly addresses a specific runtime behavior in the pipeline loading path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5514", + "right": "pull_request:5659", + "accept": false, + "reason": "Different concerns and code paths: #5514 edits a community LCM example\u2019s scheduler defaults, while #5659 fixes revision propagation in dynamic custom-pipeline loading. They are not the same bug or a single combined change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 195, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5521-7", + "nodes": [ + "pull_request:5521", + "pull_request:5583", + "pull_request:5584", + "pull_request:5585", + "pull_request:5586", + "pull_request:5587", + "pull_request:5588" + ], + "soft_pairs": [ + "pull_request:5521|pull_request:5583", + "pull_request:5521|pull_request:5584", + "pull_request:5521|pull_request:5585", + "pull_request:5521|pull_request:5586", + "pull_request:5521|pull_request:5587", + "pull_request:5583|pull_request:5584", + "pull_request:5583|pull_request:5585", + "pull_request:5583|pull_request:5586", + "pull_request:5583|pull_request:5587", + "pull_request:5584|pull_request:5585", + "pull_request:5584|pull_request:5586", + "pull_request:5584|pull_request:5587", + "pull_request:5584|pull_request:5588", + "pull_request:5585|pull_request:5586", + "pull_request:5585|pull_request:5587", + "pull_request:5585|pull_request:5588", + "pull_request:5586|pull_request:5587", + "pull_request:5586|pull_request:5588", + "pull_request:5587|pull_request:5588", + "pull_request:5521|pull_request:5588" + ], + "prepared_review_unit_hash": "81bd6d1212638523053999727e10c5a52aaaa10987034dbda1ade47e7dfe5447", + "component_budget": { + "node_count": 7, + "item_count": 7, + "soft_pair_count": 20, + "serialized_chars": 25163, + "estimated_input_tokens": 6291, + "estimated_eval_tokens": 12838 + }, + "budget": { + "node_count": 7, + "item_count": 7, + "soft_pair_count": 20, + "serialized_chars": 25163, + "estimated_input_tokens": 6291, + "estimated_eval_tokens": 12838 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are separate documentation-cleanup PRs spread across different docs sections; they share a general typo-fix theme but do not look like duplicate changes. PR 5588 is the broadest representative of the cluster, but none of the pairs are strong enough to merge as duplicates.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "No exact duplicate PR stands out; 5588 is the best representative because it is the broadest docs/.github cleanup and overlaps the most with the rest of the cluster without being identical to any one of them.", + "best_issue_reason": null, + "best_pr_reason": "5588 has the widest scope and most central coverage of the recurring typo-fix theme, so it is the most useful representative PR for the cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5521", + "right": "pull_request:5583", + "accept": false, + "reason": "Different docs areas: templates/main docs vs specific pipeline pages; same theme, but not the same change." + }, + { + "left": "pull_request:5521", + "right": "pull_request:5584", + "accept": false, + "reason": "Overlapping typo-cleanup theme, but the file sets target different docs sections and the PRs are not the same concrete change." + }, + { + "left": "pull_request:5521", + "right": "pull_request:5585", + "accept": false, + "reason": "One is broad main/docs cleanup, the other is conceptual-guide cleanup; related only at a high level." + }, + { + "left": "pull_request:5521", + "right": "pull_request:5586", + "accept": false, + "reason": "Different docs surfaces: main/docs and .github files versus tutorials; not the same underlying change." + }, + { + "left": "pull_request:5521", + "right": "pull_request:5587", + "accept": false, + "reason": "Different scope and files; these are separate docs cleanup batches." + }, + { + "left": "pull_request:5521", + "right": "pull_request:5588", + "accept": false, + "reason": "They overlap on several docs/.github files, but 5588 also adds distinct files and is a separate broader cleanup rather than the same PR change." + }, + { + "left": "pull_request:5583", + "right": "pull_request:5584", + "accept": false, + "reason": "Pipeline docs typos vs loading/hub docs typos; same maintenance type, different content and change set." + }, + { + "left": "pull_request:5583", + "right": "pull_request:5585", + "accept": false, + "reason": "They touch different documentation pages and do not fix the same concrete issue." + }, + { + "left": "pull_request:5583", + "right": "pull_request:5586", + "accept": false, + "reason": "Different docs sections and unrelated file sets; not mergeable as one change." + }, + { + "left": "pull_request:5583", + "right": "pull_request:5587", + "accept": false, + "reason": "Separate documentation pages and separate cleanup batches." + }, + { + "left": "pull_request:5584", + "right": "pull_request:5585", + "accept": false, + "reason": "Loading/hub docs versus conceptual guides; only a broad typo-fix theme in common." + }, + { + "left": "pull_request:5584", + "right": "pull_request:5586", + "accept": false, + "reason": "Different docs sections and content, so not the same underlying change." + }, + { + "left": "pull_request:5584", + "right": "pull_request:5587", + "accept": false, + "reason": "Distinct docs areas with different edited files; no duplicate relationship." + }, + { + "left": "pull_request:5584", + "right": "pull_request:5588", + "accept": false, + "reason": "Some overlap in general docs cleanup, but the edits and scope differ enough that they are separate PRs." + }, + { + "left": "pull_request:5585", + "right": "pull_request:5586", + "accept": false, + "reason": "Conceptual guides versus tutorials; different docs batches and no shared concrete bug." + }, + { + "left": "pull_request:5585", + "right": "pull_request:5587", + "accept": false, + "reason": "Different documentation areas and change sets." + }, + { + "left": "pull_request:5585", + "right": "pull_request:5588", + "accept": false, + "reason": "Broad docs cleanup overlap only; 5588 is a separate, larger PR with additional files." + }, + { + "left": "pull_request:5586", + "right": "pull_request:5587", + "accept": false, + "reason": "Tutorial pages versus getting-started pages; same general maintenance theme, not the same change." + }, + { + "left": "pull_request:5586", + "right": "pull_request:5588", + "accept": false, + "reason": "Different docs sections and file lists; they are not the same concrete update." + }, + { + "left": "pull_request:5587", + "right": "pull_request:5588", + "accept": false, + "reason": "Getting-started cleanup versus broader main-page/.github cleanup; related but distinct PRs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 196, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5589-2", + "nodes": [ + "pull_request:5589", + "pull_request:5680" + ], + "soft_pairs": [ + "pull_request:5589|pull_request:5680" + ], + "prepared_review_unit_hash": "044cd7309a5e0437983935dfb5baea66f33708380b1dc4ff62be32650f7e70bf", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6226, + "estimated_input_tokens": 1557, + "estimated_eval_tokens": 3370 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6226, + "estimated_input_tokens": 1557, + "estimated_eval_tokens": 3370 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are related cleanup passes around diffusion pipeline offloading hooks, but they target different sets of pipelines and slightly different code paths, so they are not strong duplicates.", + "confidence": 0.78, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5680 is the broader representative: it updates free-model hook handling across many pipelines and also removes a specific unet offload call, making it more comprehensive than #5589.", + "best_issue_reason": null, + "best_pr_reason": "PR #5680 best represents the cluster because it covers the widest hook-offloading cleanup and generalizes the pattern beyond the narrower final-offload updates in #5589.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5589", + "right": "pull_request:5680", + "accept": false, + "reason": "Related offloading-hook cleanup, but the diffs touch different pipeline sets and code paths; this looks like adjacent maintenance rather than the same concrete fix that should be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 197, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5696-2", + "nodes": [ + "pull_request:5696", + "pull_request:5704" + ], + "soft_pairs": [ + "pull_request:5696|pull_request:5704" + ], + "prepared_review_unit_hash": "32628422260c7d3b363e5564297ff4ab50d83120c67d2f7153e58c54b4e00e0b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4519, + "estimated_input_tokens": 1130, + "estimated_eval_tokens": 2516 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4519, + "estimated_input_tokens": 1130, + "estimated_eval_tokens": 2516 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are about Wuerstchen/PEFT compatibility and share issue #5524, but they fix different concrete paths: #5696 tweaks attention_processor offload handling plus WuerstchenPrior, while #5704 changes Wuerstchen common layers to switch Linear/Conv implementations under USE_PEFT_BACKEND and adds tests. They are related, but not the same underlying change.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5704 is the best canonical PR: it is the merged change, has tests, and addresses the broader Wuerstchen + USE_PEFT_BACKEND compatibility path.", + "best_issue_reason": null, + "best_pr_reason": "PR #5704 is the strongest representative because it is merged, test-backed, and covers the main PEFT-backend fix for Wuerstchen.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5696", + "right": "pull_request:5704", + "accept": false, + "reason": "Shared tracking issue and subsystem, but the code changes target different concrete bugs/code paths; they do not look like one mergeable PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 198, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5739-2", + "nodes": [ + "pull_request:5739", + "pull_request:5752" + ], + "soft_pairs": [ + "pull_request:5739|pull_request:5752" + ], + "prepared_review_unit_hash": "8efd8411bc5cf4639fa1537008a2ce211fb45459cd04dd3dc299715b3ce1daba", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4515, + "estimated_input_tokens": 1129, + "estimated_eval_tokens": 2514 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4515, + "estimated_input_tokens": 1129, + "estimated_eval_tokens": 2514 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged PixArt-Alpha PRs touch the same pipeline and tests, but they fix different problems: one adds resolution binning, the other fixes multi-image generation behavior. They are related, not duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #5752 is the more concrete bug fix: it addresses incorrect behavior when generating multiple images by adjusting prompt/attention-mask handling in the PixArt-Alpha pipeline.", + "best_issue_reason": null, + "best_pr_reason": "PR #5752 is the best representative because it targets a specific user-visible failure mode and has a narrow, well-defined code-path fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5739", + "right": "pull_request:5752", + "accept": false, + "reason": "Both touch PixArt-Alpha, but #5739 adds resolution binning while #5752 fixes multi-image generation. Different underlying bugs and different code paths; not mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 199, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-583-2", + "nodes": [ + "pull_request:583", + "pull_request:600" + ], + "soft_pairs": [ + "pull_request:583|pull_request:600" + ], + "prepared_review_unit_hash": "0b0bb28c01125b4861af62e6842b6240752f7d31cea82ee80cf6548414f89c05", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4422, + "estimated_input_tokens": 1106, + "estimated_eval_tokens": 2468 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4422, + "estimated_input_tokens": 1106, + "estimated_eval_tokens": 2468 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are in the same Flax Stable Diffusion area but fix different things: PR 583 adds PNDM scheduler support, while PR 600 lets dtype be passed through config initialization. They are not duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 583 is the broader, more central Flax pipeline change; PR 600 is an orthogonal configuration tweak and should not be merged as a duplicate.", + "best_issue_reason": null, + "best_pr_reason": "PR 583 is the better anchor for the cluster because it is the more substantial pipeline change, but it is not the same change as PR 600.", + "soft_edge_verdicts": [ + { + "left": "pull_request:583", + "right": "pull_request:600", + "accept": false, + "reason": "Different concrete changes: scheduler integration vs. dtype config plumbing. Shared filename alone is not enough to treat them as the same PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 200, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-587-2", + "nodes": [ + "pull_request:587", + "pull_request:664" + ], + "soft_pairs": [ + "pull_request:587|pull_request:664" + ], + "prepared_review_unit_hash": "906b8a6bd22ca7d9a16e29fb1382a9291f4fa173c21bac554341dc1335b17e03", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4472, + "estimated_input_tokens": 1118, + "estimated_eval_tokens": 2492 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4472, + "estimated_input_tokens": 1118, + "estimated_eval_tokens": 2492 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are not duplicates: PR #587 adds K-LMS support to image-to-image/inpainting pipelines, while PR #664 fixes a separate LMS scheduler regression in sigma construction/ordering. They touch different code paths and address different problems.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #664 is the cleaner canonical representative because it is a focused bug fix for the LMS scheduler regression, whereas PR #587 is a broader pipeline feature/integration change.", + "best_issue_reason": null, + "best_pr_reason": "PR #664 is the best overall representative of a concrete underlying bug fix in this cluster; PR #587 is a separate pipeline enhancement rather than the same defect.", + "soft_edge_verdicts": [ + { + "left": "pull_request:587", + "right": "pull_request:664", + "accept": false, + "reason": "Different changes: #587 wires K-LMS into img2img/inpaint and adjusts latent/device handling, while #664 changes LMS sigma computation to fix a regression. They do not look like the same underlying bug or a mergeable combined PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 201, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5878-3", + "nodes": [ + "pull_request:5878", + "pull_request:5879", + "pull_request:6031" + ], + "soft_pairs": [ + "pull_request:5878|pull_request:5879", + "pull_request:5879|pull_request:6031" + ], + "prepared_review_unit_hash": "c813d1d8e0d1f1dfa1be87550ab16273d40ba9c1e1c1d6217d6ac7d97941b8c0", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 10140, + "estimated_input_tokens": 2535, + "estimated_eval_tokens": 5326 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 10140, + "estimated_input_tokens": 2535, + "estimated_eval_tokens": 5326 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "PRs 5878 and 5879 are near-duplicates fixing the same VAE scale-factor fallback across the same set of pipelines; 6031 is a separate LoRA padding_mode bugfix and should not be clustered with them.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5878 is the cleaner canonical representative: its title clearly states the VAE robustness fix and its diff matches the shared code-path change seen in 5879.", + "best_issue_reason": null, + "best_pr_reason": "PR 5878 is the best global PR candidate because it cleanly addresses the VAE config fallback bug across multiple pipelines; 5879 is the same change with a worse title, and 6031 is unrelated.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5878", + "right": "pull_request:5879", + "accept": true, + "reason": "Same underlying fix: both change VAE scale factor computation to fall back from block_out_channels to decoder_block_out_channels in the same pipeline files." + }, + { + "left": "pull_request:5879", + "right": "pull_request:6031", + "accept": false, + "reason": "Different bugs and code paths: 5879 is about VAE config compatibility in pipelines, while 6031 fixes LoRACompatibleConv padding_mode handling in lora.py." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 202, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5935-2", + "nodes": [ + "pull_request:5935", + "pull_request:6040" + ], + "soft_pairs": [ + "pull_request:5935|pull_request:6040" + ], + "prepared_review_unit_hash": "aba7272e74d2c29a5f5c3e2ff584420c3d26a6c2eb88ae5ff7349bf8f81f3b0d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4424, + "estimated_input_tokens": 1106, + "estimated_eval_tokens": 2468 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4424, + "estimated_input_tokens": 1106, + "estimated_eval_tokens": 2468 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests touch the same example script, but they fix different parts of it: PR 5935 is a broader LoRA Dreambooth SDXL training-script improvement patch, while PR 6040 only changes the `token_abstraction` argument handling/help text. They are not duplicates or the same mergeable change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5935 is the better canonical PR for the cluster because it is the broader, earlier fix to the example training script and includes substantive code-path changes, whereas PR 6040 is a narrow CLI-argument adjustment.", + "best_issue_reason": null, + "best_pr_reason": "PR 5935 is the best representative of the cluster since it covers the larger underlying script fix and is more central than the later argument-type tweak in PR 6040.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5935", + "right": "pull_request:6040", + "accept": false, + "reason": "Reject: they modify the same file but address different changes. PR 5935 adds/adjusts LoRA text encoder state-dict logic and related training-script fixes; PR 6040 only changes `--token_abstraction` to a string and updates its help text. They do not appear to fix the same concrete bug or be mergeable as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 203, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-5970-2", + "nodes": [ + "pull_request:5970", + "pull_request:5971" + ], + "soft_pairs": [ + "pull_request:5970|pull_request:5971" + ], + "prepared_review_unit_hash": "cbf3f798c1febcece245a3234e04234bd26e2100dd497dd3c6f248c6410f94c5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3660, + "estimated_input_tokens": 915, + "estimated_eval_tokens": 2086 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3660, + "estimated_input_tokens": 915, + "estimated_eval_tokens": 2086 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two closed PRs are near-duplicates: both add a GPU-memory cleanup before final inference in the same Dreambooth SDXL training script, with only minor wording/cleanup differences.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 5971 is the cleaner duplicate target: it makes the same final-inference memory-saving change in the same code path and has much more review activity, so it is the better canonical representative.", + "best_issue_reason": null, + "best_pr_reason": "PR 5971 is the best overall representative because it addresses the same concrete memory-release step, has the more polished diff, and received substantially more review attention.", + "soft_edge_verdicts": [ + { + "left": "pull_request:5970", + "right": "pull_request:5971", + "accept": true, + "reason": "Same file, same insertion point, and same underlying change: free model/optimizer GPU memory before final inference. The extra lora-layer deletion in 5970 is a minor variant, not a different fix." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs edit the same file at the same location to free GPU memory before final inference, and 5970\u2019s extra lora-layer deletion is a small variant rather than a separate bugfix. The canonical/representative choice is also supported by the higher review activity on 5971. No overstatement detected." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 204, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6043-3", + "nodes": [ + "pull_request:6043", + "pull_request:7343", + "pull_request:7344" + ], + "soft_pairs": [ + "pull_request:6043|pull_request:7344", + "pull_request:7343|pull_request:7344" + ], + "prepared_review_unit_hash": "a9f94348d72402c8b1e6e4ca05a606128ce985a4719bca68684762a30b1d0c2a", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6414, + "estimated_input_tokens": 1604, + "estimated_eval_tokens": 3464 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6414, + "estimated_input_tokens": 1604, + "estimated_eval_tokens": 3464 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three unrelated pull requests: one fixes a deprecation warning in `single_file.py`, one updates many code examples and pipelines to use `*.config.in_channels`, and one only adjusts a config-loading test. They are not the same underlying change.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 7343 is the best representative because it is the substantive code change in the cluster; 7344 is test-only and 6043 is a separate deprecation fix.", + "best_issue_reason": null, + "best_pr_reason": "PR 7343 is the strongest standalone PR in this set: it changes actual runtime code across multiple paths, unlike 7344\u2019s test tweak and 6043\u2019s unrelated warning cleanup.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6043", + "right": "pull_request:7344", + "accept": false, + "reason": "Different topics and code paths: a single-file deprecation warning fix vs. a test-only config-loading change." + }, + { + "left": "pull_request:7343", + "right": "pull_request:7344", + "accept": false, + "reason": "They both touch config-related code, but 7343 updates `config.in_channels` usage across runtime/docs while 7344 only changes a unit test; not the same concrete bug or mergeable change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 205, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6138-2", + "nodes": [ + "pull_request:6138", + "pull_request:6959" + ], + "soft_pairs": [ + "pull_request:6138|pull_request:6959" + ], + "prepared_review_unit_hash": "b7c0afbb8dd01bcf3d0ea925ae23f881ce586895d2b4465fa9be544999b225ae", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4286, + "estimated_input_tokens": 1072, + "estimated_eval_tokens": 2400 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4286, + "estimated_input_tokens": 1072, + "estimated_eval_tokens": 2400 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs both touch `from_single_file`, but they address different problems: one adds SDXL inpaint support by plumbing `text_encoder_2`/`tokenizer_2`, while the other exposes `config_file` for ControlNet single-file loading. They are not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6959 is the better representative because it is merged, narrowly scoped, and fixes a concrete `from_single_file` ControlNet loading gap with a small change set.", + "best_issue_reason": null, + "best_pr_reason": "PR #6959 is the best PR overall in this cluster because it is merged and appears to be the completed, user-facing fix; PR #6138 is unmerged and targets a different SDXL code path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6138", + "right": "pull_request:6959", + "accept": false, + "reason": "They both use `from_single_file`, but one fixes SDXL inpaint argument plumbing and the other adds `config_file` support for ControlNet. Different code paths, different bugs, not one mergeable change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 206, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6286-2", + "nodes": [ + "pull_request:6286", + "pull_request:6334" + ], + "soft_pairs": [ + "pull_request:6286|pull_request:6334" + ], + "prepared_review_unit_hash": "f2515184f881517c6986ea322f5fc059bd79e06c0434d390cb84d20b9fe5ab5c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4418, + "estimated_input_tokens": 1105, + "estimated_eval_tokens": 2466 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4418, + "estimated_input_tokens": 1105, + "estimated_eval_tokens": 2466 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch ControlNet input validation, but they are not the same change: #6286 only fixes a typo in an error message, while #6334 makes the substantive behavior change for multiple image conditionings and adds tests.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "#6334 is the substantive bugfix: it adjusts ControlNet input handling for multiple image conditionings, removes an incorrect prompt warning, and includes tests. #6286 is just a wording/typo correction.", + "best_issue_reason": null, + "best_pr_reason": "#6334 is the best representative of the underlying code-path change because it fixes actual behavior in `StableDiffusionControlNetPipeline`, not just user-facing text.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6286", + "right": "pull_request:6334", + "accept": false, + "reason": "Different scopes and fix types: #6286 only changes ValueError wording, while #6334 changes validation logic for multiple conditionings and test coverage. They are not the same underlying bug/change and would not plausibly be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 207, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6338-3", + "nodes": [ + "pull_request:6338", + "pull_request:6629", + "pull_request:6637" + ], + "soft_pairs": [ + "pull_request:6338|pull_request:6629", + "pull_request:6338|pull_request:6637", + "pull_request:6629|pull_request:6637" + ], + "prepared_review_unit_hash": "74adefec81054e60296200895d4e0d81486d6931e5453616387699328ae8db2b", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 8933, + "estimated_input_tokens": 2234, + "estimated_eval_tokens": 4724 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 8933, + "estimated_input_tokens": 2234, + "estimated_eval_tokens": 4724 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related Japanese documentation translation/update PRs, but they are separate content batches: tutorials, an autopipeline page, and loading docs. They share the same docs tree file, but they do not fix the same underlying change, so they should not be deduplicated as PRs.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 6338 is the most representative by being a merged, self-contained JA docs update in the same area, but it is still a distinct docs batch rather than a duplicate of the others.", + "best_issue_reason": null, + "best_pr_reason": "PR 6338 is the best single representative for the cluster because it is merged and central to the Japanese docs/tutorials updates, but the cluster does not contain true duplicates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6338", + "right": "pull_request:6629", + "accept": false, + "reason": "Both edit the Japanese docs toctree, but one updates tutorials/index content while the other adds an autopipeline tutorial page. Different doc additions, not the same change." + }, + { + "left": "pull_request:6338", + "right": "pull_request:6637", + "accept": false, + "reason": "They overlap only at the JA toctree; one is a tutorials translation update and the other is a loading-docs translation set. Separate documentation batches, not one concrete fix/change." + }, + { + "left": "pull_request:6629", + "right": "pull_request:6637", + "accept": false, + "reason": "Shared docs infrastructure does not make these duplicates. One adds AutoPipeline docs, the other translates loading-related docs, so they are distinct PRs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 208, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6390-4", + "nodes": [ + "pull_request:6390", + "pull_request:7596", + "pull_request:7639", + "pull_request:9365" + ], + "soft_pairs": [ + "pull_request:6390|pull_request:7639", + "pull_request:7596|pull_request:7639", + "pull_request:7639|pull_request:9365" + ], + "prepared_review_unit_hash": "3dbf81a5c12a3a7a8025d0753affa71a03a395b73c9ca3ede503014c0bad362d", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 7558, + "estimated_input_tokens": 1890, + "estimated_eval_tokens": 4036 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 7558, + "estimated_input_tokens": 1890, + "estimated_eval_tokens": 4036 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are separate documentation/feature PRs for different optimization methods (DeepCache, TGATE, xDiT) plus one TGATE code PR. They share the same docs section and some topical overlap, but they do not describe the same underlying change.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "No true canonical duplicate PR here. If a representative is needed, PR 7639 is the closest topical anchor because it introduces the TGATE docs page, but it is still distinct from the DeepCache, xDiT, and TGATE implementation PRs.", + "best_issue_reason": null, + "best_pr_reason": "PR 7639 is the best representative only by topic centrality within the optimization docs area; it is not a duplicate of the other PRs.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6390", + "right": "pull_request:7639", + "accept": false, + "reason": "Different features: 6390 adds DeepCache docs, while 7639 adds TGATE docs. Shared docs section is not enough to treat them as the same change." + }, + { + "left": "pull_request:7596", + "right": "pull_request:7639", + "accept": false, + "reason": "Both mention TGATE, but 7596 is a PixArt-Alpha inference/code feature and 7639 is a docs-only TGATE page. Different concrete changes and code paths." + }, + { + "left": "pull_request:7639", + "right": "pull_request:9365", + "accept": false, + "reason": "TGATE docs vs xDiT docs. They only overlap at the optimization documentation level and do not fix or add the same underlying capability." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 209, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6477-2", + "nodes": [ + "pull_request:6477", + "pull_request:7817" + ], + "soft_pairs": [ + "pull_request:6477|pull_request:7817" + ], + "prepared_review_unit_hash": "af0c403a7a507f95689145252abe48b06d2d1fa5ec5e9d8c400d09d9cdfd91c8", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6352, + "estimated_input_tokens": 1588, + "estimated_eval_tokens": 3432 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6352, + "estimated_input_tokens": 1588, + "estimated_eval_tokens": 3432 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two pull requests touch some of the same scheduler code, but they address different changes: one fixes `use_karras_sigmas` final-sigma behavior, while the other adds custom `timesteps`/`sigmas` support across schedulers. They are not the same underlying bug or mergeable fix.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7817 is the broader scheduler API change and is the better representative of this cluster; PR #6477 is a narrower bug fix for a specific `use_karras_sigmas` edge case.", + "best_issue_reason": null, + "best_pr_reason": "PR #7817 is the best global representative because it introduces the more general feature area (custom timestep/sigma schedules) and spans more scheduler entry points, while PR #6477 is a targeted correction to DPMSolver sigma handling.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6477", + "right": "pull_request:7817", + "accept": false, + "reason": "Shared scheduler files alone are not enough: #6477 fixes `use_karras_sigmas` final-sigma behavior, whereas #7817 adds custom `timesteps` and `sigmas` support. Different code-path problems, not one duplicate change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 210, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-648-2", + "nodes": [ + "pull_request:648", + "pull_request:767" + ], + "soft_pairs": [ + "pull_request:648|pull_request:767" + ], + "prepared_review_unit_hash": "499910d43a2a7c4c8a6a83d1275e1f9b807b7fa8733d14ee20800a27f87278c2", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4564, + "estimated_input_tokens": 1141, + "estimated_eval_tokens": 2538 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4564, + "estimated_input_tokens": 1141, + "estimated_eval_tokens": 2538 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs modify the same add_noise path in DDIM/DDPM/PNDM, but they are not duplicates: #648 fixes device placement, while #767 extends the fix to handle dtype as well. They are closely related, but not the same underlying change.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #767 is the better canonical PR because it is the more complete follow-up for the same add_noise code path, adding the dtype handling on top of the device fix and covering the broader scheduler set.", + "best_issue_reason": null, + "best_pr_reason": "PR #767 is the best representative of the cluster since it subsumes the earlier device-mismatch fix and adds the additional dtype correction in the same function.", + "soft_edge_verdicts": [ + { + "left": "pull_request:648", + "right": "pull_request:767", + "accept": false, + "reason": "Related scheduler add_noise fixes, but not the same concrete bug/change: #648 addresses device movement for alphas_cumprod/timesteps, while #767 adds dtype handling and a broader correction. They would not be redundant duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 211, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6551-6", + "nodes": [ + "pull_request:6551", + "pull_request:8275", + "pull_request:8789", + "pull_request:8948", + "pull_request:8972", + "pull_request:9337" + ], + "soft_pairs": [ + "pull_request:6551|pull_request:8789", + "pull_request:8275|pull_request:8789", + "pull_request:8789|pull_request:8972", + "pull_request:8948|pull_request:8972", + "pull_request:8972|pull_request:9337" + ], + "prepared_review_unit_hash": "d474a4028d9a030fb2c9dad785b443cd511913b60504a909d75436dba92febc1", + "component_budget": { + "node_count": 6, + "item_count": 6, + "soft_pair_count": 5, + "serialized_chars": 15684, + "estimated_input_tokens": 3921, + "estimated_eval_tokens": 8098 + }, + "budget": { + "node_count": 6, + "item_count": 6, + "soft_pair_count": 5, + "serialized_chars": 15684, + "estimated_input_tokens": 3921, + "estimated_eval_tokens": 8098 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are thematically related around AnimateDiff, ControlNet, and video generation, but they address different features/code paths. None look like true duplicates or mergeable into a single change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8972 is the broadest concrete ControlNet upstreaming change and serves as the most central representative of the AnimateDiff ControlNet line, but it is still distinct from the later video-to-video ControlNet and other AnimateDiff feature PRs.", + "best_issue_reason": null, + "best_pr_reason": "PR 8972 is the best single representative because it is a focused, self-contained core feature addition with direct downstream relevance, unlike the other PRs which are narrower, adjacent extensions or different features altogether.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6551", + "right": "pull_request:8789", + "accept": false, + "reason": "6551 fixes multicontrolnet support in a community example; 8789 adds a PAG variant for AnimateDiff. Different functionality and code paths." + }, + { + "left": "pull_request:8275", + "right": "pull_request:8789", + "accept": false, + "reason": "8275 introduces long-context video generation utilities for AnimateDiff, while 8789 adds PAG. Related subsystem, but not the same change or bug." + }, + { + "left": "pull_request:8789", + "right": "pull_request:8972", + "accept": false, + "reason": "8789 is a PAG AnimateDiff pipeline; 8972 moves/installs ControlNet into core. Different feature areas and implementation targets." + }, + { + "left": "pull_request:8948", + "right": "pull_request:8972", + "accept": false, + "reason": "8948 implements FreeNoise across AnimateDiff-related pipelines; 8972 is specifically the core ControlNet migration. Different underlying change." + }, + { + "left": "pull_request:8972", + "right": "pull_request:9337", + "accept": false, + "reason": "8972 moves the community ControlNet pipeline to core, while 9337 adds a separate video-to-video ControlNet pipeline. They share ancestry but are not the same concrete code-path fix and would not collapse into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 212, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6587-9", + "nodes": [ + "pull_request:6587", + "pull_request:6590", + "pull_request:6608", + "pull_request:6672", + "pull_request:6719", + "pull_request:6737", + "pull_request:6740", + "pull_request:6781", + "pull_request:6803" + ], + "soft_pairs": [ + "pull_request:6587|pull_request:6590", + "pull_request:6587|pull_request:6608", + "pull_request:6587|pull_request:6803", + "pull_request:6590|pull_request:6608", + "pull_request:6590|pull_request:6781", + "pull_request:6590|pull_request:6803", + "pull_request:6590|pull_request:6740", + "pull_request:6608|pull_request:6781", + "pull_request:6608|pull_request:6803", + "pull_request:6608|pull_request:6737", + "pull_request:6672|pull_request:6737", + "pull_request:6672|pull_request:6740", + "pull_request:6672|pull_request:6781", + "pull_request:6672|pull_request:6803", + "pull_request:6737|pull_request:6740", + "pull_request:6737|pull_request:6781", + "pull_request:6737|pull_request:6803", + "pull_request:6740|pull_request:6781", + "pull_request:6740|pull_request:6803", + "pull_request:6781|pull_request:6803", + "pull_request:6672|pull_request:6719" + ], + "prepared_review_unit_hash": "6b5d94e14e7088aa40ed5240b5881af74ca01ce6925a77881d946488aa8b8f00", + "component_budget": { + "node_count": 9, + "item_count": 9, + "soft_pair_count": 21, + "serialized_chars": 21891, + "estimated_input_tokens": 5473, + "estimated_eval_tokens": 11202 + }, + "budget": { + "node_count": 9, + "item_count": 9, + "soft_pair_count": 21, + "serialized_chars": 21891, + "estimated_input_tokens": 5473, + "estimated_eval_tokens": 11202 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is a set of related Windows path/posix cleanup PRs, but they are not all duplicates. I only accept the clearest same-file, same-codepath pair; the onnx_utils pair is related but not safely mergeable as a duplicate fix.", + "confidence": 0.75, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6737 is merged, explicitly targets #6585, and is the cleanest representative of the onnx_utils Windows-path fix in this cluster.", + "best_issue_reason": null, + "best_pr_reason": "PR #6737 is the strongest global representative because it is merged, has an explicit issue link, and makes a focused concrete change in one code path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6587", + "right": "pull_request:6590", + "accept": false, + "reason": "Both are Windows-path cleanup PRs, but they touch different files and different code paths, so they are not the same underlying change." + }, + { + "left": "pull_request:6587", + "right": "pull_request:6608", + "accept": false, + "reason": "Different modules and different fixes; only the broad Windows-support theme overlaps." + }, + { + "left": "pull_request:6587", + "right": "pull_request:6803", + "accept": false, + "reason": "Same utility file, but different functions/code paths; related path cleanup, not a duplicate fix." + }, + { + "left": "pull_request:6590", + "right": "pull_request:6608", + "accept": false, + "reason": "Different files and separate save/load paths; too broad to call the same bug or change." + }, + { + "left": "pull_request:6590", + "right": "pull_request:6781", + "accept": false, + "reason": "Both are path-related, but they fix different loaders/save paths in different modules." + }, + { + "left": "pull_request:6590", + "right": "pull_request:6803", + "accept": false, + "reason": "Different files and different concrete path joins; not the same code-path problem." + }, + { + "left": "pull_request:6590", + "right": "pull_request:6740", + "accept": false, + "reason": "Only the broad Windows path theme is shared; this is not the same concrete change." + }, + { + "left": "pull_request:6608", + "right": "pull_request:6781", + "accept": false, + "reason": "Different files and different loading/saving paths; same style of fix, not the same bug." + }, + { + "left": "pull_request:6608", + "right": "pull_request:6803", + "accept": false, + "reason": "Different code paths in different modules; they are related but not duplicates." + }, + { + "left": "pull_request:6608", + "right": "pull_request:6737", + "accept": false, + "reason": "They are related onnx_utils path fixes, but the diffs differ in the actual code path and behavior: one changes the directory check and save-dir type, while the other only changes the load path. That is not safely the same duplicate fix." + }, + { + "left": "pull_request:6672", + "right": "pull_request:6737", + "accept": false, + "reason": "Same issue target and same theme, but different files and different code paths." + }, + { + "left": "pull_request:6672", + "right": "pull_request:6740", + "accept": false, + "reason": "Different modules and different path-join sites; only broad Windows support overlaps." + }, + { + "left": "pull_request:6672", + "right": "pull_request:6781", + "accept": false, + "reason": "Both convert joins to Path.as_posix(), but they act on different save/load paths in different files." + }, + { + "left": "pull_request:6672", + "right": "pull_request:6803", + "accept": false, + "reason": "Same file family but different functions; not the same concrete bug or change." + }, + { + "left": "pull_request:6737", + "right": "pull_request:6740", + "accept": false, + "reason": "Different files and separate code paths, even though both are Windows path fixes." + }, + { + "left": "pull_request:6737", + "right": "pull_request:6781", + "accept": false, + "reason": "Different modules and different save/load paths; too broad to merge as duplicates." + }, + { + "left": "pull_request:6737", + "right": "pull_request:6803", + "accept": false, + "reason": "Same general Windows-path theme, but not the same concrete code path." + }, + { + "left": "pull_request:6740", + "right": "pull_request:6781", + "accept": false, + "reason": "Different files and unrelated concrete path-construction sites." + }, + { + "left": "pull_request:6740", + "right": "pull_request:6803", + "accept": false, + "reason": "Related only by POSIX path cleanup; not the same underlying fix." + }, + { + "left": "pull_request:6781", + "right": "pull_request:6803", + "accept": false, + "reason": "Different modules and different save/load logic; same style of edit is not enough." + }, + { + "left": "pull_request:6672", + "right": "pull_request:6719", + "accept": true, + "reason": "Same unet.py save-function path construction change in the same code path; this is the clearest duplicate pair in the cluster." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is mostly grounded, but one soft-edge acceptance is too strong: pull_request:6608 vs pull_request:6737 is not clearly the same bugfix. The packet shows different edits in the same function: 6608 changes the directory check to `model_path.is_dir()` and also sets `model_save_dir` to a posix string, while 6737 keeps `os.path.isdir(model_id)`, changes only the load path to posix, and leaves `model_save_dir` as `Path(model_id)`. That looks related, but not safely mergeable as a single duplicate fix. The same-file duplicate verdict for 6672 vs 6719 is fine, but the cluster-level conclusion is a bit too broad given the 6608/6737 pair." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 213, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6627-2", + "nodes": [ + "pull_request:6627", + "pull_request:6849" + ], + "soft_pairs": [ + "pull_request:6627|pull_request:6849" + ], + "prepared_review_unit_hash": "913011688bec7951a4fc2fb947c08238e3fe47b093c558a80009db4d408bc8a6", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3233, + "estimated_input_tokens": 809, + "estimated_eval_tokens": 1874 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3233, + "estimated_input_tokens": 809, + "estimated_eval_tokens": 1874 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs patch the same bug in `load_hf_numpy` within `src/diffusers/utils/testing_utils.py`: constructing the Hugging Face dataset URL with `Path(...).as_posix()` / bad path logic, causing test failures on POSIX-style handling. They are effectively duplicate fixes for the same code path.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6849 is the cleaner, more direct fix of the same `load_hf_numpy` URL \u0928\u093f\u0930\u094d\u092e\u093e\u0923 bug and matches the final intended change with minimal extra context.", + "best_issue_reason": null, + "best_pr_reason": "PR #6849 is the best representative because it directly and narrowly fixes the path-joining bug in `testing_utils.py` without the broader/failing-tests framing, making it the clearest canonical duplicate target.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6627", + "right": "pull_request:6849", + "accept": true, + "reason": "Same function, same file, same underlying bug: incorrect URL/path construction in `load_hf_numpy`. The diffs are essentially the same fix and could plausibly be merged as one PR." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs modify `src/diffusers/utils/testing_utils.py` and target `load_hf_numpy`\u2019s URL/path construction around the Hugging Face base URL. The soft-edge accept is also reasonable because the changes are in the same function and are mergeable as one bugfix. Minor nuance: PR #6627 also changes the `http/https` conditional, so it is not perfectly identical to #6849, but the core overlap is supported." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 214, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6665-7", + "nodes": [ + "pull_request:6665", + "pull_request:8240", + "pull_request:8265", + "pull_request:8396", + "pull_request:8399", + "pull_request:8694", + "pull_request:8747" + ], + "soft_pairs": [ + "pull_request:6665|pull_request:8396", + "pull_request:8240|pull_request:8747", + "pull_request:8240|pull_request:8265", + "pull_request:8265|pull_request:8694", + "pull_request:8265|pull_request:8747", + "pull_request:8396|pull_request:8399", + "pull_request:8396|pull_request:8747" + ], + "prepared_review_unit_hash": "d2aedc61c9ea41e6d7c1671c3524c2c7598db5aef27ee9bbaea2a1036c87c236", + "component_budget": { + "node_count": 7, + "item_count": 7, + "soft_pair_count": 7, + "serialized_chars": 19723, + "estimated_input_tokens": 4931, + "estimated_eval_tokens": 10118 + }, + "budget": { + "node_count": 7, + "item_count": 7, + "soft_pair_count": 7, + "serialized_chars": 19723, + "estimated_input_tokens": 4931, + "estimated_eval_tokens": 10118 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is centered on HunyuanDiT-related PRs, but the individual PRs are mostly separate feature additions or refactors rather than duplicates. The initial HunyuanDiT implementation is the best representative; the rest are follow-on changes for ControlNet, memory optimization, attention refactoring, QKV fusion, and v1.2 support.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8240 is the foundational HunyuanDiT addition and broadest representative of the cluster; later PRs build on that codebase rather than replacing it.", + "best_issue_reason": null, + "best_pr_reason": "PR 8240 is the best single PR to anchor this cluster because it introduces the core HunyuanDiT model and pipeline integration, making it the central reference point for later Hunyuan-related work.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6665", + "right": "pull_request:8396", + "accept": false, + "reason": "Different models and code paths: I2VGen-XL image-to-video support vs HunyuanDiT QKV fusion." + }, + { + "left": "pull_request:8240", + "right": "pull_request:8747", + "accept": false, + "reason": "Both are HunyuanDiT work, but 8747 adds v1.2 support via embedding/model changes; it is a follow-on feature, not the same underlying change as the initial implementation." + }, + { + "left": "pull_request:8240", + "right": "pull_request:8265", + "accept": false, + "reason": "8265 is a refactor of HunyuanDiT attention internals, not the same concrete change as the initial HunyuanDiT feature addition." + }, + { + "left": "pull_request:8265", + "right": "pull_request:8694", + "accept": false, + "reason": "Refactoring Hunyuan attention internals and adding ControlNet inference are distinct changes, even though they touch related files." + }, + { + "left": "pull_request:8265", + "right": "pull_request:8747", + "accept": false, + "reason": "Attention refactor and v1.2 support are different code-path changes; not mergeable as a duplicate PR." + }, + { + "left": "pull_request:8396", + "right": "pull_request:8399", + "accept": false, + "reason": "QKV fusion enablement and memory-optimization support address different behaviors and are separate modifications." + }, + { + "left": "pull_request:8396", + "right": "pull_request:8747", + "accept": false, + "reason": "One changes attention projection fusion, the other updates HunyuanDiT v1.2 support; these are not the same fix or feature." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 215, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6683-2", + "nodes": [ + "pull_request:6683", + "pull_request:8643" + ], + "soft_pairs": [ + "pull_request:6683|pull_request:8643" + ], + "prepared_review_unit_hash": "d649888309cc620f0a52db170ab2636cc93fa552a8951dc9273b39d5b3d83c10", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4331, + "estimated_input_tokens": 1083, + "estimated_eval_tokens": 2422 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4331, + "estimated_input_tokens": 1083, + "estimated_eval_tokens": 2422 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are merged community PRs for Intel IPEX CPU acceleration, but they target different concrete pipelines: SDXL vs AnimateDiff. The overlap is only broad subsystem/README similarity, not the same bug or change.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "Neither PR is a duplicate of the other. If a representative is needed, 8643 is slightly more self-contained, but it does not subsume 6683.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6683", + "right": "pull_request:8643", + "accept": false, + "reason": "Different code paths and deliverables: 6683 adds SDXL IPEX support, while 8643 adds AnimateDiff IPEX support. Shared README edits and the same general CPU/IPEX theme are not enough to treat them as the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 216, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6690-2", + "nodes": [ + "pull_request:6690", + "pull_request:6692" + ], + "soft_pairs": [ + "pull_request:6690|pull_request:6692" + ], + "prepared_review_unit_hash": "97dfb8c2a842acaed78f3dd6c5c610a35efc0efb39b4c0861089b7573712732c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3673, + "estimated_input_tokens": 919, + "estimated_eval_tokens": 2094 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3673, + "estimated_input_tokens": 919, + "estimated_eval_tokens": 2094 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch UNet1D timestep embedding sizing, but #6692 is a broader fix with additional timestep-embedding shape changes beyond #6690\u2019s single-line embedding_size adjustment.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "#6692 is the more complete and explicit implementation of the UNet1D timestep embedding fix, covering the embedding size change plus related output-dimension handling.", + "best_issue_reason": null, + "best_pr_reason": "#6692 best represents the cluster because it addresses the same core UNet1D timestep embedding bug with a fuller correction set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6690", + "right": "pull_request:6692", + "accept": false, + "reason": "They overlap on the embedding_size fix, but #6692 adds additional timestep-embedding shape logic (out_dim/time_embed_dim changes), so this is not the same exact PR change and should not be merged as a duplicate." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 217, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6738-2", + "nodes": [ + "pull_request:6738", + "pull_request:8768" + ], + "soft_pairs": [ + "pull_request:6738|pull_request:8768" + ], + "prepared_review_unit_hash": "09a630ce3565a5ca4efedd978db35cd27a7a41a29f420f7f8a9bd81abd7c3b74", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6135, + "estimated_input_tokens": 1534, + "estimated_eval_tokens": 3324 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6135, + "estimated_input_tokens": 1534, + "estimated_eval_tokens": 3324 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are unrelated pull requests: one refactors test module layout, the other introduces a new `controlnet` module and updates docs/imports. They do not fix the same underlying bug or implement the same change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical PR for duplication: PR 6738 is a test-only refactor, while PR 8768 is a substantive core module reorganization. They address different problems.", + "best_issue_reason": null, + "best_pr_reason": "PR 8768 is the more substantial and central change in the cluster, but it is not a duplicate of PR 6738.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6738", + "right": "pull_request:8768", + "accept": false, + "reason": "Different scopes and code paths: 6738 only reorganizes tests, while 8768 adds/moves ControlNet implementation and docs. Shared files are incidental, not evidence of the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 218, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6844-2", + "nodes": [ + "pull_request:6844", + "pull_request:7005" + ], + "soft_pairs": [ + "pull_request:6844|pull_request:7005" + ], + "prepared_review_unit_hash": "40412e77f5ff1e4bc25e767efd63ec045fcdcb101a4fb44a4151ed93cd4b0298", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5159, + "estimated_input_tokens": 1290, + "estimated_eval_tokens": 2836 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5159, + "estimated_input_tokens": 1290, + "estimated_eval_tokens": 2836 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests are about MotionCtrl for Stable Video Diffusion, but PR #7005 looks like a community/example packaging of the feature rather than the same core change as PR #6844. They overlap in topic and some core files, yet the scope and framing differ enough that I would not treat them as duplicates.", + "confidence": 0.79, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6844 is the earlier, more central core implementation of MotionCtrl SVD and includes the main conversion script and pipeline/model changes.", + "best_issue_reason": null, + "best_pr_reason": "PR #6844 is the strongest representative of the actual feature implementation; PR #7005 appears to be a follow-up/community example around the same feature rather than the primary change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6844", + "right": "pull_request:7005", + "accept": false, + "reason": "Shared issue target and similar MotionCtrl SVD scope are not enough here: #7005 is framed as a community/example repo addition and references #6844, so it is more likely a related follow-up than the same mergeable code change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 219, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6846-2", + "nodes": [ + "pull_request:6846", + "pull_request:7149" + ], + "soft_pairs": [ + "pull_request:6846|pull_request:7149" + ], + "prepared_review_unit_hash": "fea7b99eaaf7cdfdb8ad6cfae57e47b303798795749e2d8d1a01a19eec3e61e1", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4206, + "estimated_input_tokens": 1052, + "estimated_eval_tokens": 2360 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4206, + "estimated_input_tokens": 1052, + "estimated_eval_tokens": 2360 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two pull requests are unrelated: one tweaks an SDXL training example\u2019s distributed setup, while the other adds `callback_on_step_end` support plus guidance-rescale logic in the LDM3D pipeline. They should not be clustered as duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7149 is the stronger canonical PR: it is merged, has an explicit issue target, and implements a concrete pipeline feature/fix in a single code path.", + "best_issue_reason": null, + "best_pr_reason": "PR #7149 is the best representative of the cluster because it is the only merged, clearly scoped change and the one with direct issue linkage.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6846", + "right": "pull_request:7149", + "accept": false, + "reason": "Different changes and code paths: #6846 edits a text-to-image training example\u2019s process-group setup, while #7149 modifies `StableDiffusionLDM3DPipeline` to add callback support and rescale noise guidance. They are not the same underlying bug or mergeable into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 220, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-686-2", + "nodes": [ + "pull_request:686", + "pull_request:721" + ], + "soft_pairs": [ + "pull_request:686|pull_request:721" + ], + "prepared_review_unit_hash": "207f82451439868eff24d44a7bad231f0378002b84681763a4927c3593c2cadb", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3270, + "estimated_input_tokens": 818, + "estimated_eval_tokens": 1892 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3270, + "estimated_input_tokens": 818, + "estimated_eval_tokens": 1892 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs make the same style of fix (guarding `clip_grad_norm_` with `accelerator.sync_gradients`), but they apply to different example training scripts and different issue targets, so they are related pattern matches rather than duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "No single PR is a clear canonical representative because these are separate example-script fixes; if forced, PR #686 is slightly more central due to higher inbound references and earlier discussion, but it should not be treated as a duplicate of #721.", + "soft_edge_verdicts": [ + { + "left": "pull_request:686", + "right": "pull_request:721", + "accept": false, + "reason": "Same broad bug pattern, but different code paths in different example scripts (`train_dreambooth.py` vs `train_unconditional.py`) and different linked issues; they would not plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 221, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6873-3", + "nodes": [ + "pull_request:6873", + "pull_request:6980", + "pull_request:6983" + ], + "soft_pairs": [ + "pull_request:6873|pull_request:6980", + "pull_request:6873|pull_request:6983", + "pull_request:6980|pull_request:6983" + ], + "prepared_review_unit_hash": "385d264c4b1e3b2a8b0e95c66728b9107c7dc6fff3079028dacc9f4719b88252", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7325, + "estimated_input_tokens": 1832, + "estimated_eval_tokens": 3920 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7325, + "estimated_input_tokens": 1832, + "estimated_eval_tokens": 3920 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two PRs (#6980 and #6983) are the same underlying 2D/ControlNet attention-argument naming fix; the 3D UNet PR (#6873) is a separate code path and should stay separate.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #6983 is the most complete version of the 2D naming fix: it covers ControlNet, UNet2DConditionModel, and the deprecated Versatile Diffusion text UNet, making it the best representative of the shared change.", + "best_issue_reason": null, + "best_pr_reason": "PR #6983 is the best cluster representative because it is the broader, later draft of the same fix and appears to subsume #6980\u2019s narrower 2D attention-naming changes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6873", + "right": "pull_request:6980", + "accept": false, + "reason": "Different model family and code path: #6873 targets UNet3DConditionModel, while #6980 fixes 2D condition/controlnet naming. Similar theme, but not the same concrete change." + }, + { + "left": "pull_request:6873", + "right": "pull_request:6983", + "accept": false, + "reason": "#6873 is a 3D UNet attention-name correction; #6983 is a 2D/ControlNet/VD text UNet naming correction. They overlap conceptually but are not mergeable as one PR." + }, + { + "left": "pull_request:6980", + "right": "pull_request:6983", + "accept": true, + "reason": "Both PRs address the same concrete 2D attention-argument naming bug and touch the same core files; #6983 is a broader follow-up of #6980 rather than a distinct fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 222, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6902-2", + "nodes": [ + "pull_request:6902", + "pull_request:7981" + ], + "soft_pairs": [ + "pull_request:6902|pull_request:7981" + ], + "prepared_review_unit_hash": "ef85dd2c04368efb2fbffa54f43191ad7c776c5051f2761bf3650d4a34d5f656", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3176, + "estimated_input_tokens": 794, + "estimated_eval_tokens": 1844 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3176, + "estimated_input_tokens": 794, + "estimated_eval_tokens": 1844 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are unrelated maintenance changes: one updates license/copyright year text in docs, the other changes the package author email in setup.py.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "No strong global best PR for deduping since the changes are different; if one must be picked as a representative, 6902 is the broader docs/license metadata update.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6902", + "right": "pull_request:7981", + "accept": false, + "reason": "Different underlying changes and code paths: 6902 edits license/year text across documentation files, while 7981 only updates author_email in setup.py. They are not the same fix/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 223, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-6933-3", + "nodes": [ + "pull_request:6933", + "pull_request:8183", + "pull_request:9288" + ], + "soft_pairs": [ + "pull_request:6933|pull_request:8183", + "pull_request:8183|pull_request:9288" + ], + "prepared_review_unit_hash": "987a43768fbc61d97b880a2a56eecb706d7035cb656ace2f30e9730b7fb539d9", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6611, + "estimated_input_tokens": 1653, + "estimated_eval_tokens": 3562 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6611, + "estimated_input_tokens": 1653, + "estimated_eval_tokens": 3562 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These pull requests are not duplicates: one fixes SD conversion reshaping, one fixes a logger typo, and one adapts FreeNoise for AnimateDiff V3. They touch unrelated bugs and should remain separate.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR for the cluster; the three PRs address distinct code paths and different defects.", + "best_issue_reason": null, + "best_pr_reason": "PR #8183 is the best representative only in the sense that it is the most narrowly scoped and has an explicit issue target, but it is not a duplicate of the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:6933", + "right": "pull_request:8183", + "accept": false, + "reason": "Different fixes in the same utility file are not enough: #6933 changes SD conversion weight reshaping/text encoder handling, while #8183 only corrects logger.warning calls during EMA checkpoint conversion." + }, + { + "left": "pull_request:8183", + "right": "pull_request:9288", + "accept": false, + "reason": "These address different failures: #8183 fixes a logging AttributeError in checkpoint conversion, while #9288 changes FreeNoise block selection for AnimateDiff V3 compatibility." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 224, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7025-2", + "nodes": [ + "pull_request:7025", + "pull_request:7067" + ], + "soft_pairs": [ + "pull_request:7025|pull_request:7067" + ], + "prepared_review_unit_hash": "107bd2cb3c906786e9ba58023940ab3063c39ce7dd14871a804ae52f6899ce62", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4388, + "estimated_input_tokens": 1097, + "estimated_eval_tokens": 2450 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4388, + "estimated_input_tokens": 1097, + "estimated_eval_tokens": 2450 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related only at a broad file/subsystem level; they fix different controlnet training-script behaviors. PR #7025 changes validation image logging in the train scripts, while PR #7067 changes dataset argument handling and dataset loading. They should not be deduplicated.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7067 is the better canonical PR because it is the merged change and addresses a concrete functional behavior in dataset argument handling/load path.", + "best_issue_reason": null, + "best_pr_reason": "PR #7067 is the strongest representative of the cluster: merged, more complete, and focused on a specific code-path fix rather than logging cleanup.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7025", + "right": "pull_request:7067", + "accept": false, + "reason": "They touch the same scripts but fix different problems: #7025 adjusts tensorboard validation image logging, while #7067 changes dataset_name/train_data_dir validation and passes train_data_dir into the dataset loader. Not the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 225, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7071-4", + "nodes": [ + "pull_request:7071", + "pull_request:7211", + "pull_request:8376", + "pull_request:8387" + ], + "soft_pairs": [ + "pull_request:7071|pull_request:8376", + "pull_request:7071|pull_request:8387", + "pull_request:7071|pull_request:7211", + "pull_request:8376|pull_request:8387", + "pull_request:7211|pull_request:8387", + "pull_request:7211|pull_request:8376" + ], + "prepared_review_unit_hash": "fe63bf9d1112b4d0dffea637cacf1e4d1ea4db943e3ba807854485c61f8a61b9", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 10323, + "estimated_input_tokens": 2581, + "estimated_eval_tokens": 5418 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 10323, + "estimated_input_tokens": 2581, + "estimated_eval_tokens": 5418 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "There are two near-duplicate PRs for the same regional_prompting_stable_diffusion.py refactor, plus two separate refactors for different example pipelines that share only a broad migration theme. Only the exact same-file pair should be clustered together.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8376 is the best canonical representative: it is a non-draft open PR, and PR 8387 is an almost identical draft duplicate on the same file with the same change set.", + "best_issue_reason": null, + "best_pr_reason": "PR 8376 is the strongest cluster representative because it matches the near-exact duplicate 8387 and has the clearest standalone change on the same code path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7071", + "right": "pull_request:8376", + "accept": false, + "reason": "Same tracking issue and similar refactor style, but they touch different example pipelines/files and are not the same concrete change." + }, + { + "left": "pull_request:7071", + "right": "pull_request:8387", + "accept": false, + "reason": "Different file and different pipeline; the overlap is only the broad DiffusionPipeline migration theme." + }, + { + "left": "pull_request:7071", + "right": "pull_request:7211", + "accept": false, + "reason": "Both refactor community examples, but they are separate pipelines with separate code paths and should not be merged as duplicates." + }, + { + "left": "pull_request:8376", + "right": "pull_request:8387", + "accept": true, + "reason": "Near-exact duplicate PRs on the same file with essentially identical diff content and the same refactor goal." + }, + { + "left": "pull_request:7211", + "right": "pull_request:8387", + "accept": false, + "reason": "Shared issue target is not enough; these are different example pipelines and different code paths." + }, + { + "left": "pull_request:7211", + "right": "pull_request:8376", + "accept": false, + "reason": "Different pipeline/file and only broadly similar refactor work, not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 226, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7092-3", + "nodes": [ + "pull_request:7092", + "pull_request:8687", + "pull_request:8867" + ], + "soft_pairs": [ + "pull_request:7092|pull_request:8687", + "pull_request:8687|pull_request:8867" + ], + "prepared_review_unit_hash": "77f5a43fb8aca9f45458479a803dae787bd085d7dcba5f3c77b45e717dbe8de3", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6324, + "estimated_input_tokens": 1581, + "estimated_eval_tokens": 3418 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6324, + "estimated_input_tokens": 1581, + "estimated_eval_tokens": 3418 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three separate merged PRs that all touch the same GitHub template files, but they make different template-maintenance changes rather than fixing the same underlying issue.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8687 is the best cluster representative because it makes the broadest, most explicit template update and overlaps the same files as the others while still being a distinct change.", + "best_issue_reason": null, + "best_pr_reason": "#8687 is the clearest central example of this template-edit cluster: it updates both issue and PR templates and adds several routing/tagging refinements.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7092", + "right": "pull_request:8687", + "accept": false, + "reason": "Both edit the template files, but the content changes are different: #7092 removes/adjusts maintainer mentions, while #8687 adds new routing tags and pipeline entries. Not the same underlying change." + }, + { + "left": "pull_request:8687", + "right": "pull_request:8867", + "accept": false, + "reason": "These are separate template updates with different intent and different line changes (#8687 adds multiple tags/sections; #8867 swaps one maintainer tag and adds a PEFT entry). They are not mergeable as one duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 227, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7125-2", + "nodes": [ + "pull_request:7125", + "pull_request:8266" + ], + "soft_pairs": [ + "pull_request:7125|pull_request:8266" + ], + "prepared_review_unit_hash": "eea037eeb946d2d67aeaaada108eb0c1d7b4216cd792943df7bcd847654f840d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3841, + "estimated_input_tokens": 961, + "estimated_eval_tokens": 2178 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3841, + "estimated_input_tokens": 961, + "estimated_eval_tokens": 2178 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged PRs both touch the documentation workflow files, but they address different changes: one limits when the docs workflows run, the other switches the docs builder to a custom container. They are related by file path, not by the same underlying fix.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7125 is the cleaner representative of the workflow-related cluster because it makes a focused, standalone change to workflow triggering behavior; #8266 is a separate container/runtime adjustment.", + "best_issue_reason": null, + "best_pr_reason": "PR #7125 best fits the cluster only in the broad sense of documentation workflow maintenance, but it is still distinct from #8266 and more directly describes the shared workflow area.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7125", + "right": "pull_request:8266", + "accept": false, + "reason": "Different underlying changes: #7125 limits docs workflow runs via path filters, while #8266 configures a custom container for the docs job. Same files, but not the same bug/fix or something that would plausibly be one merged PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 228, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7144-2", + "nodes": [ + "pull_request:7144", + "pull_request:9010" + ], + "soft_pairs": [ + "pull_request:7144|pull_request:9010" + ], + "prepared_review_unit_hash": "723b145efe8df5019642ad30bb558a8a9904cbae6e911712aa213a00d418c942", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4415, + "estimated_input_tokens": 1104, + "estimated_eval_tokens": 2464 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4415, + "estimated_input_tokens": 1104, + "estimated_eval_tokens": 2464 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are unrelated pull requests: one adds NPU support infrastructure, the other fixes SDXL textual inversion and adds second text encoder support. They should not be clustered as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9010 is the more self-contained, concrete product fix; PR 7144 is broader platform support and not representative of the same change set.", + "best_issue_reason": null, + "best_pr_reason": "PR 9010 is the best representative artifact because it targets a specific user-facing SDXL training/inference behavior, whereas PR 7144 is a general backend enablement change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7144", + "right": "pull_request:9010", + "accept": false, + "reason": "Different underlying changes: NPU support plumbing versus SDXL textual inversion/2nd text encoder behavior. They do not fix the same code-path problem and would not plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 229, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7162-2", + "nodes": [ + "pull_request:7162", + "pull_request:7878" + ], + "soft_pairs": [ + "pull_request:7162|pull_request:7878" + ], + "prepared_review_unit_hash": "ecdecedba955ea86e4b7607a83d91794aef966173bcaeb24ca26695259e1c6ea", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3117, + "estimated_input_tokens": 780, + "estimated_eval_tokens": 1816 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3117, + "estimated_input_tokens": 780, + "estimated_eval_tokens": 1816 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs touch the same workflow file but make opposite CI concurrency changes at different times: one removes the slow-runner max-parallel limit, the other adds max-parallel: 8. They are related revisions, not duplicate fixes that should be merged into one PR.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No clear canonical PR for duplicate triage: PR #7162 removes the limit entirely, while PR #7878 reintroduces a specific limit, so they address different states of the workflow rather than the same change.", + "best_issue_reason": null, + "best_pr_reason": "PR #7878 is the more concrete and final configuration change, but it is not a duplicate of #7162; it represents a later, distinct adjustment to runner parallelism.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7162", + "right": "pull_request:7878", + "accept": false, + "reason": "Same file, but not the same underlying change: one removes max-parallel and the other sets it to 8. These are opposite workflow tuning decisions, not mergeable duplicate fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 230, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7352-2", + "nodes": [ + "pull_request:7352", + "pull_request:7875" + ], + "soft_pairs": [ + "pull_request:7352|pull_request:7875" + ], + "prepared_review_unit_hash": "35a0d0444ee8654c2f70e1bfa68e5f519a0b80a65fbc0f86327019bf0d1b0ae0", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4573, + "estimated_input_tokens": 1144, + "estimated_eval_tokens": 2544 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4573, + "estimated_input_tokens": 1144, + "estimated_eval_tokens": 2544 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs both touch LoRA scaling utilities, but they address different changes: PR 7352 adds blockwise LoRA/adapters strength controls, while PR 7875 fixes a specific \"no LoRA weight found\" fallback for some module names. They are related by subsystem, not the same mergeable change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 7352 is the broader, more central change in this cluster: it implements blockwise LoRA support across loaders, docs, and tests, with an explicit tracking issue and substantial code changes.", + "best_issue_reason": null, + "best_pr_reason": "PR 7352 is the best representative PR for this cluster because it defines the main feature area (blockwise LoRA/adapters scaling) rather than a narrow helper fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7352", + "right": "pull_request:7875", + "accept": false, + "reason": "Do not merge: 7352 introduces blockwise adapter-strength support, while 7875 only changes fallback behavior in peft_utils for missing per-module weights. They share a subsystem but not the same underlying bug or feature." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 231, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7553-3", + "nodes": [ + "pull_request:7553", + "pull_request:8949", + "pull_request:8980" + ], + "soft_pairs": [ + "pull_request:7553|pull_request:8980", + "pull_request:8949|pull_request:8980" + ], + "prepared_review_unit_hash": "49980c84c6c4a07142ed9ac9a6450d277237fd2b677128728bd297f4007fb828", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6451, + "estimated_input_tokens": 1613, + "estimated_eval_tokens": 3482 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 6451, + "estimated_input_tokens": 1613, + "estimated_eval_tokens": 3482 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two AuraFlow PRs are closely related and likely duplicate the same cleanup of a stray `i` argument; the linear/conv cleanup PR is unrelated. No issues are present in the cluster.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8980 is the cleanest representative of the AuraFlow `i`-removal change: it directly fixes the `auraflow_transformer_2d.py` call path and matches the shared intent of the other AuraFlow PR.", + "best_issue_reason": null, + "best_pr_reason": "PR 8980 best represents the cluster because it is the most focused AuraFlow fix and captures the core code-path change without extra test-only or rename noise.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7553", + "right": "pull_request:8980", + "accept": false, + "reason": "Different change set: 7553 is a broad chore removing class assignments for linear/conv across many model files, while 8980 removes an `i` parameter from AuraFlow. Same subsystem but not the same underlying bug/change." + }, + { + "left": "pull_request:8949", + "right": "pull_request:8980", + "accept": true, + "reason": "Both PRs target the same AuraFlow cleanup: removing the residual `i` argument from the attention/transformer code path. They look like the same underlying change and could plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 232, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7739-2", + "nodes": [ + "pull_request:7739", + "pull_request:7761" + ], + "soft_pairs": [ + "pull_request:7739|pull_request:7761" + ], + "prepared_review_unit_hash": "2a5dd8ad5786506b22e641af0714cd3cdd0192a0000ec537bde855af3725e05d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5753, + "estimated_input_tokens": 1439, + "estimated_eval_tokens": 3134 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5753, + "estimated_input_tokens": 1439, + "estimated_eval_tokens": 3134 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two pull requests around the callbacks feature: an early proposal and the later merged implementation. They are related, but not the same concrete change and should not be merged as duplicates.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 7761 is the canonical PR because it is the merged, full implementation of official callbacks across multiple pipelines and docs, whereas 7739 is an earlier proposal/prototype.", + "best_issue_reason": null, + "best_pr_reason": "PR 7761 is the best PR candidate overall since it contains the completed, accepted feature with broad pipeline support and documentation; 7739 is incomplete and unmerged.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7739", + "right": "pull_request:7761", + "accept": false, + "reason": "Related feature area, but not the same underlying change. 7739 is a proposal for callback support; 7761 implements and documents official callbacks across many pipelines. They share one target and a file, but are not mergeable as one PR without collapsing distinct work." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 233, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7838-2", + "nodes": [ + "pull_request:7838", + "pull_request:9033" + ], + "soft_pairs": [ + "pull_request:7838|pull_request:9033" + ], + "prepared_review_unit_hash": "864cd52498b77ab2b11423152017541c798150ff2bbc28a0a58ef8bea715b6cd", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2773, + "estimated_input_tokens": 694, + "estimated_eval_tokens": 1644 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2773, + "estimated_input_tokens": 694, + "estimated_eval_tokens": 1644 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs adjust CI workflow dependency installation for pipeline test fetchers, but they target different workflows and different install strategies, so they are related rather than duplicates.", + "confidence": 0.82, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9033 is the cleaner representative: it makes a direct dependency tweak in the nightly workflow without changing the broader setup mechanics, so it best captures the cluster\u2019s common theme.", + "best_issue_reason": null, + "best_pr_reason": "PR #9033 is the best single PR in this cluster because it is the more straightforward workflow dependency update and is easier to treat as the representative change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7838", + "right": "pull_request:9033", + "accept": false, + "reason": "Different CI paths and different fixes: #7838 changes push_tests to use a venv/uv install and adds quality,test extras, while #9033 only adjusts nightly_tests to install the test extra. They do not look like the same underlying bug or mergeable duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 234, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7839-2", + "nodes": [ + "pull_request:7839", + "pull_request:7840" + ], + "soft_pairs": [ + "pull_request:7839|pull_request:7840" + ], + "prepared_review_unit_hash": "19e10d5b33113d80a43e2849ed7bfeca7875f8500407d4c6fa22a3681f245eeb", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4125, + "estimated_input_tokens": 1032, + "estimated_eval_tokens": 2320 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4125, + "estimated_input_tokens": 1032, + "estimated_eval_tokens": 2320 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two PRs in the cluster are both runner-migration changes, but they target different job classes and workflows: one moves CPU PR test jobs to new self-hosted Intel runners, the other moves multiple GPU nightly/push jobs to new T4 GPU runners. They are related by infrastructure theme, not the same underlying change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7840 is the better canonical PR because it is the broader, clearer runner migration for GPU workflows and touches multiple relevant workflows with a consistent change pattern.", + "best_issue_reason": null, + "best_pr_reason": "PR #7840 is the best representative of the cluster because its title and diff most clearly capture the common runner-migration theme, while #7839 is a narrower CPU-only workflow update.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7839", + "right": "pull_request:7840", + "accept": false, + "reason": "Both change CI runners, but one is CPU PR tests and the other is GPU nightly/push tests; different workflows, different runner classes, and not plausibly one merged PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 235, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7915-2", + "nodes": [ + "pull_request:7915", + "pull_request:7917" + ], + "soft_pairs": [ + "pull_request:7915|pull_request:7917" + ], + "prepared_review_unit_hash": "8f778775ef2426de0f8f11f90f65cb862e6cab1c875a551b29ef75f2a7830842", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2867, + "estimated_input_tokens": 717, + "estimated_eval_tokens": 1690 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2867, + "estimated_input_tokens": 717, + "estimated_eval_tokens": 1690 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs both touch SDXL training, but they address different change sets: one is a broad Ascend NPU support effort, while the other is a targeted merged fix for Deepspeed-related bugs in the SDXL example. I would not cluster them as the same underlying change.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #7917 is the better canonical PR because it is merged, narrowly scoped, and has concrete code changes in the SDXL training script fixing specific bugs.", + "best_issue_reason": null, + "best_pr_reason": "PR #7917 is the strongest representative overall: it is merged, has a clear fix-focused title, and the diff shows an actual bug fix rather than a broad platform-support effort.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7915", + "right": "pull_request:7917", + "accept": false, + "reason": "Low similarity in the underlying change: #7915 is about adding Ascend NPU support for SDXL plus assorted fixes, while #7917 specifically fixes Deepspeed bugs in the SDXL example. They share a subsystem and title terms, but not the same concrete bug or mergeable patch." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 236, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-7996-2", + "nodes": [ + "pull_request:7996", + "pull_request:9444" + ], + "soft_pairs": [ + "pull_request:7996|pull_request:9444" + ], + "prepared_review_unit_hash": "37190c7a028d0a8d55998910190dc1a8d0e6067cbabcd1c591f78402c4c80d5b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4391, + "estimated_input_tokens": 1098, + "estimated_eval_tokens": 2452 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4391, + "estimated_input_tokens": 1098, + "estimated_eval_tokens": 2452 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs both touch single-file support docs/tests, but they address different concrete cleanups in different model areas and are not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: 7996 deletes an obsolete StableCascadeUNet test file, while 9444 removes CogVideoX single-file doc entries and adjusts related tests.", + "best_issue_reason": null, + "best_pr_reason": "9444 is the more user-facing, broader maintenance change, but it still does not represent the same underlying change as 7996.", + "soft_edge_verdicts": [ + { + "left": "pull_request:7996", + "right": "pull_request:9444", + "accept": false, + "reason": "Only broad overlap in single-file docs/tests maintenance; the concrete targets differ (StableCascadeUNet test deletion vs. CogVideoX doc/test cleanup), so they are not the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 237, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8383-2", + "nodes": [ + "pull_request:8383", + "pull_request:8783" + ], + "soft_pairs": [ + "pull_request:8383|pull_request:8783" + ], + "prepared_review_unit_hash": "b72da46cc29a5534d691a9b952ae2a953ef11fc60b6e559498c2bf58908e6d22", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4451, + "estimated_input_tokens": 1113, + "estimated_eval_tokens": 2482 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4451, + "estimated_input_tokens": 1113, + "estimated_eval_tokens": 2482 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items concern Tencent HunyuanDiT, but they are different changes: one is documentation exposure for the model/pipeline, the other adds checkpoint conversion scripts and modifies the ControlNet implementation. They are related project work, not duplicates.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8783 is the better canonical PR because it contains the substantive code change (new conversion scripts and ControlNet updates), while PR #8383 is only docs/navigation updates.", + "best_issue_reason": null, + "best_pr_reason": "PR #8783 best represents the cluster\u2019s underlying engineering work; PR #8383 is ancillary documentation for the same model family, not the same fix/change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8383", + "right": "pull_request:8783", + "accept": false, + "reason": "Docs-only HunyuanDiT documentation update vs. implementation/conversion-script and ControlNet changes. They touch the same model family but not the same concrete code-path problem, so they should not be merged as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 238, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8517-2", + "nodes": [ + "pull_request:8517", + "pull_request:8602" + ], + "soft_pairs": [ + "pull_request:8517|pull_request:8602" + ], + "prepared_review_unit_hash": "0dad51ffb708b3ef6aed0d592d42f7962c9b4382675380e007dbe483194f33b7", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3871, + "estimated_input_tokens": 968, + "estimated_eval_tokens": 2192 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3871, + "estimated_input_tokens": 968, + "estimated_eval_tokens": 2192 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged PRs around Stable Diffusion 3 single-file docs/support: one adds actual single-file support entries and code paths for SD3, the other only fixes a documentation heading about T5 loading. They are related but not the same underlying change.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8517 is the substantive feature/support change: it expands Single File support for SD3 across loaders and docs, whereas #8602 is a narrow wording correction.", + "best_issue_reason": null, + "best_pr_reason": "PR #8517 is the best representative of the cluster because it changes the actual SD3 single-file support behavior and documentation, making it the broader canonical change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8517", + "right": "pull_request:8602", + "accept": false, + "reason": "These touch the same SD3 docs file, but #8517 adds single-file support entries and loader code paths while #8602 only renames a section title from 'without T5' to 'with T5'. They are not the same concrete bug/change and would not plausibly merge into one PR as a single fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 239, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8558-4", + "nodes": [ + "pull_request:8558", + "pull_request:8610", + "pull_request:9406", + "pull_request:9550" + ], + "soft_pairs": [ + "pull_request:8558|pull_request:8610", + "pull_request:9406|pull_request:9550", + "pull_request:8558|pull_request:9406" + ], + "prepared_review_unit_hash": "f02a0937c4c55f53c989bf5029d9cce61537293918e47ae09d99380d354478ac", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 8886, + "estimated_input_tokens": 2222, + "estimated_eval_tokens": 4700 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 8886, + "estimated_input_tokens": 2222, + "estimated_eval_tokens": 4700 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is mostly mixed, with one FLUX ControlNet batch-size fix and two unrelated PRs. The FLUX PR about `control_mode` batch handling is the best representative; the image-dimension PR is related to the same file but addresses a different bug, and the SD3/attention PRs are unrelated.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9406 is the most central artifact: it directly fixes a concrete FLUX ControlNet batch-size/control_mode bug and has the strongest topical fit among the PRs.", + "best_issue_reason": null, + "best_pr_reason": "PR 9406 is the best overall representative because it targets the clearest underlying bug in the cluster. PR 9550 is adjacent but fixes image validation, not the same code-path problem; PRs 8558 and 8610 are unrelated.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8558", + "right": "pull_request:8610", + "accept": false, + "reason": "Different models and different bugs: SD3 prompt-embed shape fix vs. attention processor initialization. No shared code-path or same underlying change." + }, + { + "left": "pull_request:9406", + "right": "pull_request:9550", + "accept": false, + "reason": "Both touch FLUX ControlNet, but they fix different issues: batch-size handling for `control_mode` versus image dimension checking. Shared file alone is not enough to treat them as duplicates." + }, + { + "left": "pull_request:8558", + "right": "pull_request:9406", + "accept": false, + "reason": "Unrelated pipelines and problems: SD3 `text_encoder_3=None` shape mismatch vs. FLUX ControlNet batch-size mode handling." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 240, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8568-2", + "nodes": [ + "pull_request:8568", + "pull_request:9498" + ], + "soft_pairs": [ + "pull_request:8568|pull_request:9498" + ], + "prepared_review_unit_hash": "ccd0cc7441f1bf0179fc7f6197342b0686ccb9570d2cb4b80feccbd545787117", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3307, + "estimated_input_tokens": 827, + "estimated_eval_tokens": 1910 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3307, + "estimated_input_tokens": 827, + "estimated_eval_tokens": 1910 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs address the same bug pattern in SD3 gradient-checkpointed blocks: checkpoint returns two tensors, but only one was previously assigned. However, they fix different code paths/files (transformer_sd3 vs controlnet_sd3), so they are related but not duplicates.", + "confidence": 0.81, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9498 is the stronger representative: it is merged, has the clearer bug description, and directly fixes the SD3 ControlNet training checkpointing path.", + "best_issue_reason": null, + "best_pr_reason": "PR #9498 is the best single PR to anchor the cluster because it is the merged, concrete fix for the checkpointing return-value bug in SD3 training.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8568", + "right": "pull_request:9498", + "accept": false, + "reason": "Same bug pattern, but different concrete components and files. The transformer block and ControlNet block are separate code paths, so this is not the same PR-worthy change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 241, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8690-3", + "nodes": [ + "pull_request:8690", + "pull_request:8914", + "pull_request:8938" + ], + "soft_pairs": [ + "pull_request:8690|pull_request:8914", + "pull_request:8690|pull_request:8938", + "pull_request:8914|pull_request:8938" + ], + "prepared_review_unit_hash": "ff4186dc1ca7bfc1360afa38d09f69d6cda9f5b4320e8c80b28405959df9b415", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 12206, + "estimated_input_tokens": 3052, + "estimated_eval_tokens": 6360 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 12206, + "estimated_input_tokens": 3052, + "estimated_eval_tokens": 6360 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three similar Korean documentation translation/update PRs, but they touch different files and different article content. They are related in style and context, not duplicates of the same underlying change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:8938 is the best representative PR only in the sense that it is the most substantial and reviewed of the three, but it is not a duplicate of the others; it updates a different document (`contribution.md`) with broader text changes.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:8938 has the largest scope and highest review activity, so it is the strongest standalone example of this translation/update pattern. Still, it should not be merged with the others as a duplicate because it edits a different file and content area.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8690", + "right": "pull_request:8914", + "accept": false, + "reason": "Both are Korean doc updates, but they modify different pages (`philosophy.md` vs `ethical_guidelines.md`) with distinct text changes. Same general theme, not the same bug/change." + }, + { + "left": "pull_request:8690", + "right": "pull_request:8938", + "accept": false, + "reason": "Different documentation files and different sections of content. They are similar translation/heading-link cleanups, but not one underlying change." + }, + { + "left": "pull_request:8914", + "right": "pull_request:8938", + "accept": false, + "reason": "Both are documentation localization updates, yet they target different conceptual docs and do not share a concrete code path or mergeable single fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 242, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8701-2", + "nodes": [ + "pull_request:8701", + "pull_request:8735" + ], + "soft_pairs": [ + "pull_request:8701|pull_request:8735" + ], + "prepared_review_unit_hash": "d8e9e7ae86d9947f58fda5e1451f8947699ccb70334124fbfdb2866ecf6f1a3f", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4347, + "estimated_input_tokens": 1087, + "estimated_eval_tokens": 2430 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4347, + "estimated_input_tokens": 1087, + "estimated_eval_tokens": 2430 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged documentation PRs were clustered together by weak textual similarity, but they target different features: PAG from_pipe usage vs. SDXL refiner guidance for HunyuanDiT/PixArt. They are not duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "PR 8735 is the broader, more self-contained documentation change in this cluster, but it is not a duplicate of PR 8701.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8701", + "right": "pull_request:8735", + "accept": false, + "reason": "Reject: the PRs address different documentation topics and code paths. 8701 adds PAG from_pipe guidance in `pag.md`; 8735 adds an SDXL refiner tip for HunyuanDiT/PixArt and also touches SD3 img2img/docs. They could not plausibly be merged as one change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 243, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8762-2", + "nodes": [ + "pull_request:8762", + "pull_request:9943" + ], + "soft_pairs": [ + "pull_request:8762|pull_request:9943" + ], + "prepared_review_unit_hash": "b965b6efafd06d78586e0730e9eb6250a39242e72413f4f503bb0629c8e6b1b5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4676, + "estimated_input_tokens": 1169, + "estimated_eval_tokens": 2594 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4676, + "estimated_input_tokens": 1169, + "estimated_eval_tokens": 2594 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are unrelated: one adds SD3 DreamBooth LoRA support for a free-tier Colab workflow, and the other enables LoRA for Mochi-1. They do not appear to fix the same bug or implement the same change.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the PRs target different models/features and do not share the same code path or mergeable change.", + "best_issue_reason": null, + "best_pr_reason": "No single best PR for this cluster; 8762 is an example-project workflow, while 9943 is a library LoRA implementation for a different model.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8762", + "right": "pull_request:9943", + "accept": false, + "reason": "Different feature areas and code paths: SD3 Colab DreamBooth LoRA setup versus Mochi-1 LoRA support. They are not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 244, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8814-2", + "nodes": [ + "pull_request:8814", + "pull_request:8815" + ], + "soft_pairs": [ + "pull_request:8814|pull_request:8815" + ], + "prepared_review_unit_hash": "492428d5e63572d44b17b7547bc615de1603e8fae527fd906bcc7ecdde4495a2", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5381, + "estimated_input_tokens": 1346, + "estimated_eval_tokens": 2948 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5381, + "estimated_input_tokens": 1346, + "estimated_eval_tokens": 2948 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs are for the LuminaNextDiT2D/Lumina pipeline work and share the same title and core model file, but PR #8814 is the broader feature-integrating change while #8815 is a narrower follow-up on the same model implementation. They look like closely related duplicate/companion changes rather than unrelated PRs.", + "confidence": 0.78, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8814 is the better canonical PR because it appears to contain the fuller feature set: model, pipeline, scheduler, docs, and package exports. It is more representative of the overall Lumina integration than the narrower model-only follow-up in #8815.", + "best_issue_reason": null, + "best_pr_reason": "PR #8814 is the strongest cluster representative since it covers the end-to-end addition of Lumina support across code and documentation, whereas #8815 only touches the transformer implementation and its tests.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8814", + "right": "pull_request:8815", + "accept": true, + "reason": "Both PRs target the same LuminaNextDiT2D feature area and share the same core files; #8815 looks like a follow-up implementation detail for the same model change, so they could plausibly have been merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 245, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8884-3", + "nodes": [ + "pull_request:8884", + "pull_request:8888", + "pull_request:8893" + ], + "soft_pairs": [ + "pull_request:8884|pull_request:8893", + "pull_request:8888|pull_request:8893" + ], + "prepared_review_unit_hash": "3c4b009bf40d5b28711c49393f0315cf8d77d63dc46e6fceb2cbdb7e5d7c42ea", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 5194, + "estimated_input_tokens": 1299, + "estimated_eval_tokens": 2854 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 5194, + "estimated_input_tokens": 1299, + "estimated_eval_tokens": 2854 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Three sequential PRs all touch the same SSH runner workflow, but they are not duplicates: one adds the workflow, one removes an invalid GPU flag, and one removes an NVIDIA-SMI step. They are related follow-up fixes rather than the same concrete change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #8884 is the clearest canonical representative because it introduces the workflow itself; the other two are narrow follow-up edits to that file rather than the same standalone fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #8884 is the most suitable cluster representative since it is the original, broader change and the later PRs are incremental patches on top of it.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8884", + "right": "pull_request:8893", + "accept": false, + "reason": "Same workflow file, but different changes: #8884 adds the SSH runner workflow, while #8893 only removes the NVIDIA-SMI step. These are related follow-ups, not the same underlying fix or mergeable single PR." + }, + { + "left": "pull_request:8888", + "right": "pull_request:8893", + "accept": false, + "reason": "Both are small edits to the same workflow, but they fix different things: #8888 removes `--gpus 0` and #8893 removes `nvidia-smi`. They do not appear to address the same concrete bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 246, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-8961-2", + "nodes": [ + "pull_request:8961", + "pull_request:8966" + ], + "soft_pairs": [ + "pull_request:8961|pull_request:8966" + ], + "prepared_review_unit_hash": "8b6e51cd6d833d8488ac2f5a7bdd36454b24f657aa26d05e991b003272f4065e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3430, + "estimated_input_tokens": 858, + "estimated_eval_tokens": 1972 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3430, + "estimated_input_tokens": 858, + "estimated_eval_tokens": 1972 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests target the same tutorial snippet for gradient accumulation in `basic_training.md`; PR 8966 is the cleaner follow-up version of the same fix, so the pair can be treated as duplicates/near-duplicates.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 8966 is the better canonical representative: it makes the accumulation guard use `accelerator.sync_gradients`, which is the more correct/idiomatic final form of the same tutorial change, while PR 8961 is the earlier variant.", + "best_issue_reason": null, + "best_pr_reason": "PR 8966 best captures the cluster\u2019s underlying change because it fixes the same tutorial example with the refined gradient-accumulation condition and is the more polished end state.", + "soft_edge_verdicts": [ + { + "left": "pull_request:8961", + "right": "pull_request:8966", + "accept": true, + "reason": "Same markdown tutorial snippet, same target issue, and both implement the same gradient-accumulation fix; 8966 is just the revised form of 8961." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs target the same file and the same issue (8960), and the diffs show the second PR is a follow-up refinement of the same tutorial gradient-accumulation example. The soft-edge verdict is conservative enough, and the pair looks mergeable as a single PR for the same bugfix." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 247, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9050-2", + "nodes": [ + "pull_request:9050", + "pull_request:9845" + ], + "soft_pairs": [ + "pull_request:9050|pull_request:9845" + ], + "prepared_review_unit_hash": "703f08d740bfcc539351cc49768042be50dd8babb8481649e6c6b2b2b0684107", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4618, + "estimated_input_tokens": 1155, + "estimated_eval_tokens": 2566 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4618, + "estimated_input_tokens": 1155, + "estimated_eval_tokens": 2566 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two merged PRs are related only at a broad test-enablement level, but they fix different things: PR 9050 is a Flux-specific change to get Flux tests running, while PR 9845 is a broader big-GPU/LoRA test gating update spanning multiple model families. They are not duplicates.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9050 is the more specific, self-contained Flux testability fix; PR 9845 is broader infrastructure/marker cleanup across several test suites rather than the same concrete change.", + "best_issue_reason": null, + "best_pr_reason": "PR 9050 is the best representative if picking one artifact for this cluster because it is narrowly focused on the Flux path; PR 9845 is too broad and only partially overlaps via one shared test file.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9050", + "right": "pull_request:9845", + "accept": false, + "reason": "Different underlying changes: 9050 adjusts Flux model/pipeline code and tests to run, while 9845 changes LoRA integration test gating and teardown across several suites. Shared Flux test filename is not enough to make them the same PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 248, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-92-2", + "nodes": [ + "pull_request:92", + "pull_request:94" + ], + "soft_pairs": [ + "pull_request:92|pull_request:94" + ], + "prepared_review_unit_hash": "7db1261e7625195395a96c7176cc5fe109d431af4b53467c9b3d8c24748f8a8e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4320, + "estimated_input_tokens": 1080, + "estimated_eval_tokens": 2416 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4320, + "estimated_input_tokens": 1080, + "estimated_eval_tokens": 2416 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two early Hugging Face conversion-script PRs overlap on one shared LDM conversion file, but they target different changes: one is a standalone LDM checkpoint converter, the other is a broader DDPM conversion PR that also includes that script and tests. The overlap looks like reuse/follow-up, not the same underlying change.", + "confidence": 0.77, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #94 is the better canonical representative because it is the more complete change set: it includes the shared LDM conversion script plus the DDPM conversion script and tests, making it the broader and more actionable reference point.", + "best_issue_reason": null, + "best_pr_reason": "PR #94 is the strongest overall PR in the cluster: broader scope, additional validation, and it subsumes the shared file while adding more concrete functionality.", + "soft_edge_verdicts": [ + { + "left": "pull_request:92", + "right": "pull_request:94", + "accept": false, + "reason": "They share one conversion script filename, but the PRs are not the same change: #92 is specifically an LDM converter, while #94 is a DDPM conversion PR that also touches the shared LDM script. That looks like related work rather than a duplicate fix/change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 249, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9333-2", + "nodes": [ + "pull_request:9333", + "pull_request:9671" + ], + "soft_pairs": [ + "pull_request:9333|pull_request:9671" + ], + "prepared_review_unit_hash": "68f35a306cf1c021067b03cec33dda439d0d18775932f4035f3b5d352ffa3a44", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5262, + "estimated_input_tokens": 1316, + "estimated_eval_tokens": 2888 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5262, + "estimated_input_tokens": 1316, + "estimated_eval_tokens": 2888 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch CogVideoX and share some docs/init plumbing, but they implement different features: #9333 adds CogVideoX video-to-video support, while #9671 adds CogVideoX-Fun pose control. They are related, but not the same underlying change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "If one PR must be treated as representative, #9671 is the more self-contained and clearly scoped feature addition (pose-controllable CogVideoX-Fun pipeline with tests), whereas #9333 is a separate video-to-video capability.", + "best_issue_reason": null, + "best_pr_reason": "#9671 is the better representative PR because its title, new pipeline file, and test coverage clearly define a single concrete feature scope; #9333 is also valid but describes a different capability.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9333", + "right": "pull_request:9671", + "accept": false, + "reason": "Reject: they share CogVideoX integration files and docs, but #9333 adds video-to-video support and #9671 adds pose control. Different code paths and user-facing features, so they are not duplicates and would not be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 250, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9499-2", + "nodes": [ + "pull_request:9499", + "pull_request:9509" + ], + "soft_pairs": [ + "pull_request:9499|pull_request:9509" + ], + "prepared_review_unit_hash": "3cdd30150a517917c036a45f9ce25124d597eea86195630e027cff50b4d6828d", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4272, + "estimated_input_tokens": 1068, + "estimated_eval_tokens": 2392 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4272, + "estimated_input_tokens": 1068, + "estimated_eval_tokens": 2392 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related scheduler feature PRs in the same file, but they implement different sigma schedules (exponential vs beta) and are not duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:9499", + "right": "pull_request:9509", + "accept": false, + "reason": "Both modify EulerDiscreteScheduler, but one adds exponential sigmas and the other adds beta sigmas. Different underlying changes and no evidence they could be merged as the same PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 251, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9518-2", + "nodes": [ + "pull_request:9518", + "pull_request:9538" + ], + "soft_pairs": [ + "pull_request:9518|pull_request:9538" + ], + "prepared_review_unit_hash": "42a868e6cf7b04ea9190e5a94f231e3f146aca9192f315fddd883c1ef7dcc5ac", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6414, + "estimated_input_tokens": 1604, + "estimated_eval_tokens": 3464 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6414, + "estimated_input_tokens": 1604, + "estimated_eval_tokens": 3464 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests update the same scheduler docs and several scheduler implementations, but they add different features: PR #9518 introduces exponential sigmas, while PR #9538 introduces beta sigmas. They are related, but not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9538 is the better canonical PR for this cluster because it is the later, more specific follow-up change and the titles clearly distinguish the new beta-sigma feature from the earlier exponential-sigma work.", + "best_issue_reason": null, + "best_pr_reason": "PR #9538 is the best representative of the cluster since it captures the broader follow-up pattern across the same scheduler files and docs, but it is still a distinct change rather than the same fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9518", + "right": "pull_request:9538", + "accept": false, + "reason": "Reject: these PRs modify overlapping scheduler code and docs, but they implement different sigma types (exponential vs beta). Same subsystem and file set, but not the same underlying change or code-path fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 252, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9564-3", + "nodes": [ + "pull_request:9564", + "pull_request:9854", + "pull_request:9855" + ], + "soft_pairs": [ + "pull_request:9564|pull_request:9854", + "pull_request:9564|pull_request:9855", + "pull_request:9854|pull_request:9855" + ], + "prepared_review_unit_hash": "907c8f32db51ca1eccb73e1430620a4104cfa027928aed54ec0e78f686c513f7", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7038, + "estimated_input_tokens": 1760, + "estimated_eval_tokens": 3776 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 7038, + "estimated_input_tokens": 1760, + "estimated_eval_tokens": 3776 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All three pull requests appear to be duplicate incarnations of the same PEFT compatibility patch: adding `low_cpu_mem_usage` handling and a version guard in LoRA loading code. No issue is present in the cluster.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9854 is the cleanest canonical PR: it has the same patch as the others, a readable title, and no indication of a divergent implementation.", + "best_issue_reason": null, + "best_pr_reason": "PR #9854 is the best representative because it is the clearest-labeled version of the identical change set; #9564 and #9855 are effectively the same patch under different fork/sync titles.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9564", + "right": "pull_request:9854", + "accept": true, + "reason": "Same concrete code change and same edited files; the diff preview is effectively identical, so these look like duplicate PRs for the same fix." + }, + { + "left": "pull_request:9564", + "right": "pull_request:9855", + "accept": true, + "reason": "Same patch in the same LoRA loader path, with identical version-guard logic and file footprint; this is the same underlying change." + }, + { + "left": "pull_request:9854", + "right": "pull_request:9855", + "accept": true, + "reason": "These two PRs are near-exact duplicates: same titles in essence, same files, and the same diff hunk adding the PEFT compatibility check." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: all three PRs show the same diff preview, the same affected filenames, and the same PEFT/low_cpu_mem_usage compatibility guard. The soft-edge accepts are also supported by the identical patch content, so the duplicate-pr conclusion is conservative enough." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 253, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9631-2", + "nodes": [ + "pull_request:9631", + "pull_request:9642" + ], + "soft_pairs": [ + "pull_request:9631|pull_request:9642" + ], + "prepared_review_unit_hash": "fe0a48c8f340933d0153d92cb3cd00df5dda918f3a8c38b24435e0836674b92a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2888, + "estimated_input_tokens": 722, + "estimated_eval_tokens": 1700 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 2888, + "estimated_input_tokens": 722, + "estimated_eval_tokens": 1700 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These look like the same PR topic: identical title, same NPU/performance goal, and the merged PR 9642 appears to be the finalized version of the earlier closed PR 9631. No issue artifacts are present.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 9642 is the better canonical PR because it is merged and includes the concrete code changes in the target file, while 9631 is a closed/unmerged antecedent with the same title and likely the same change set.", + "best_issue_reason": null, + "best_pr_reason": "PR 9642 is the best representative because it is the merged, implemented version of the change and therefore the most useful single artifact to keep for triage.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9631", + "right": "pull_request:9642", + "accept": true, + "reason": "Accept: same title and same underlying NPU/performance change; 9642 looks like the merged continuation/finalization of 9631 rather than a separate fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 254, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9651-2", + "nodes": [ + "pull_request:9651", + "pull_request:9652" + ], + "soft_pairs": [ + "pull_request:9651|pull_request:9652" + ], + "prepared_review_unit_hash": "215c46aec8c3bf3e6b08863dd1459da42e09db4a5c63cc39d54b19eb3e241660", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3180, + "estimated_input_tokens": 795, + "estimated_eval_tokens": 1846 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3180, + "estimated_input_tokens": 795, + "estimated_eval_tokens": 1846 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two merged PRs make the same small constructor change pattern, but in different ControlNet pipeline implementations for different model families, so they are similar rather than duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single PR is canonical for a duplicate cluster here; the PRs target different code paths and model-specific classes.", + "best_issue_reason": null, + "best_pr_reason": "PR 9651 is a slightly cleaner representative only because it is the first/explicit example of the shared pattern, but it is not a duplicate of PR 9652.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9651", + "right": "pull_request:9652", + "accept": false, + "reason": "Same general pattern (wrap list/tuple controlnets in a multi-controlnet model), but they fix different pipeline constructors in different subsystems/classes, so they are not the same underlying change and would not plausibly merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 255, + "component_count": 255, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-9842-2", + "nodes": [ + "pull_request:9842", + "pull_request:9879" + ], + "soft_pairs": [ + "pull_request:9842|pull_request:9879" + ], + "prepared_review_unit_hash": "d3ebf81e7705f49fe385546b931c82d35f72709a6d372e809eeb658fa5e9bfef", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4393, + "estimated_input_tokens": 1099, + "estimated_eval_tokens": 2454 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4393, + "estimated_input_tokens": 1099, + "estimated_eval_tokens": 2454 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests address the same DreamBooth SDXL LoRA/DoRA TypeError in the same file and under the same tracked issue; PR #9879 is the merged, more complete fix.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #9879 is merged and implements the same fix plus the PEFT version guard, making it the best canonical representative.", + "best_issue_reason": null, + "best_pr_reason": "PR #9879 is the strongest standalone PR because it is closed-merged and appears to fully resolve the same bug path.", + "soft_edge_verdicts": [ + { + "left": "pull_request:9842", + "right": "pull_request:9879", + "accept": true, + "reason": "Same underlying DreamBooth SDXL LoRA config bug in the same file, same issue target, and the diffs are on the same fix path; they could plausibly be combined into one PR." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs touch the same file, share the same explicit issue target (9841), and the diffs are on the same fix path. The note that PR #9879 is the merged, more complete fix is also supported by the packet. The soft-edge acceptance is conservative enough here." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + } + ] +} diff --git a/snapshots/20260418T163535Z/analysis-runs/hybrid-gpt54mini-20260418t182429z/manifest.json b/snapshots/20260418T163535Z/analysis-runs/hybrid-gpt54mini-20260418t182429z/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0e90a0a103a23fba8ee63c282cf1c77c6c12ac7d --- /dev/null +++ b/snapshots/20260418T163535Z/analysis-runs/hybrid-gpt54mini-20260418t182429z/manifest.json @@ -0,0 +1,14 @@ +{ + "analysis_id": "hybrid-gpt54mini-20260418t182429z", + "artifacts": { + "hybrid": "snapshots/20260418T163535Z/analysis-runs/hybrid-gpt54mini-20260418t182429z/analysis-report-hybrid.json", + "hybrid_reviews": "snapshots/20260418T163535Z/analysis-runs/hybrid-gpt54mini-20260418t182429z/analysis-report-hybrid.llm-reviews.json" + }, + "channel": "canonical", + "model": null, + "published_at": "2026-04-18T19:28:21Z", + "repo": "huggingface/diffusers", + "schema_version": 1, + "snapshot_id": "20260418T163535Z", + "variant": "hybrid" +} diff --git a/snapshots/20260418T163535Z/manifest.json b/snapshots/20260418T163535Z/manifest.json index a724de68d4415a3e03fcee1a98a6200311f7bb8c..5edc41928b35808a8f34d990e9f60aa42035b2af 100644 --- a/snapshots/20260418T163535Z/manifest.json +++ b/snapshots/20260418T163535Z/manifest.json @@ -30,6 +30,24 @@ "timeline_events": 36 }, "extracted_at": "2026-04-18T16:35:35Z", + "published_analysis": { + "canonical_analysis_id": "hybrid-gpt54mini-20260418t182429z", + "runs": { + "hybrid-gpt54mini-20260418t182429z": { + "analysis_id": "hybrid-gpt54mini-20260418t182429z", + "artifacts": { + "hybrid": "snapshots/20260418T163535Z/analysis-runs/hybrid-gpt54mini-20260418t182429z/analysis-report-hybrid.json", + "hybrid_reviews": "snapshots/20260418T163535Z/analysis-runs/hybrid-gpt54mini-20260418t182429z/analysis-report-hybrid.llm-reviews.json" + }, + "channel": "canonical", + "manifest_path": "snapshots/20260418T163535Z/analysis-runs/hybrid-gpt54mini-20260418t182429z/manifest.json", + "model": null, + "published_at": "2026-04-18T19:28:21Z", + "variant": "hybrid" + } + }, + "schema_version": 1 + }, "repo": "huggingface/diffusers", "snapshot_id": "20260418T163535Z", "watermark": {